diff --git a/demo/browser.js b/demo/browser.js index 3c2f789a..075a6529 100644 --- a/demo/browser.js +++ b/demo/browser.js @@ -15,7 +15,7 @@ const userConfig = { backend: 'wasm', async: false, videoOptimized: false, - face: { enabled: true, iris: { enabled: false }, mesh: { enabled: true }, age: { enabled: true }, gender: { enabled: true }, emotion: { enabled: true } }, + face: { enabled: true, iris: { enabled: false }, mesh: { enabled: true }, age: { enabled: true }, gender: { enabled: true }, emotion: { enabled: true }, embedding: { enabled: true } }, body: { enabled: false }, hand: { enabled: false }, }; diff --git a/dist/demo-browser-index.js b/dist/demo-browser-index.js index e25e3320..84a52dc4 100644 --- a/dist/demo-browser-index.js +++ b/dist/demo-browser-index.js @@ -4045,7 +4045,7 @@ return a / b;`,eH=` tensor.shape[0], but sum of lengths is ${r}, and tensor's shape is: ${e.shape}`);let s=e.shape.slice(1),i=Bg(s,n),o=r===0?0:e.size/r,l=U(()=>{let u=[];e=q(e,[1,r,o]);for(let 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implemented`)}},Cne=(e,t,n)=>{switch(e.op){case"BatchMatMul":case"BatchMatMulV2":case"MatMul":return[qe(I("a",e,t,n),I("b",e,t,n),I("transposeA",e,t,n),I("transposeB",e,t,n))];case"Transpose":return[at(I("x",e,t,n),I("perm",e,t,n))];case"_FusedMatMul":let[r,a]=I("fusedOps",e,t,n),s=r==="biasadd",i=a==="prelu",o=I("numArgs",e,t,n),l=I("leakyreluAlpha",e,t,n);if(s){if(i&&o!==2)throw new Error("Fused MatMul with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!i&&o!==1)throw new Error("Fused MatMul with BiasAdd must have one extra argument: bias.")}let[c,u]=I("args",e,t,n);return[ka.matMul({a:I("a",e,t,n),b:I("b",e,t,n),transposeA:I("transposeA",e,t,n),transposeB:I("transposeB",e,t,n),bias:c,activation:a,preluActivationWeights:u,leakyreluAlpha:l})];default:throw TypeError(`Node type ${e.op} is not 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i=I("axis",e,t,n),o=I("keepDims",e,t,n);return[Xo(I("x",e,t,n),i,o)]}case"Sum":{let i=I("axis",e,t,n),o=I("keepDims",e,t,n);return[Te(I("x",e,t,n),i,o)]}case"All":{let i=I("axis",e,t,n),o=I("keepDims",e,t,n);return[ed(I("x",e,t,n),i,o)]}case"Any":{let i=I("axis",e,t,n),o=I("keepDims",e,t,n);return[ku(I("x",e,t,n),i,o)]}case"ArgMax":{let i=I("axis",e,t,n);return[Iu(I("x",e,t,n),i)]}case"ArgMin":{let i=I("axis",e,t,n);return[zf(I("x",e,t,n),i)]}case"Prod":{let i=I("axis",e,t,n),o=I("keepDims",e,t,n);return[dd(I("x",e,t,n),i,o)]}case"Cumsum":{let i=I("axis",e,t,n),o=I("exclusive",e,t,n),l=I("reverse",e,t,n);return[sd(I("x",e,t,n),i,o,l)]}case"Bincount":let r=I("x",e,t,n),a=I("weights",e,t,n),s=I("size",e,t,n);return[Y2(r,a,s)];case"DenseBincount":{let i=I("x",e,t,n),o=I("weights",e,t,n),l=I("size",e,t,n),c=I("binaryOutput",e,t,n);return[n0(i,o,l,c)]}default:throw TypeError(`Node type ${e.op} is not implemented`)}},Mne=(e,t,n)=>{switch(e.op){case"ConcatV2":case"Concat":{let r=I("n",e,t,n),a=I("axis",e,t,n),s=I("tensors",e,t,n);return s=s.slice(0,r),[ct(s,a)]}case"Gather":{let r=I("x",e,t,n),a=I("indices",e,t,n);return[Gs(r,ye(a,"int32"),0)]}case"GatherV2":{let r=I("axis",e,t,n),a=I("batchDims",e,t,n),s=I("x",e,t,n),i=I("indices",e,t,n);return[Gs(s,ye(i,"int32"),r,a)]}case"Reverse":{let r=I("dims",e,t,n),a=[];for(let i=0;i{let r=I("axis",e,t,n),a=I("tensors",e,t,n),s=a[0].shape,i=va(a[0]).shape,o=a.map(l=>{let c=k.arraysEqual(l.shape,s);if(!c&&!k.arraysEqual(va(l).shape,i))throw new Error("the input tensors shape does not match");return c?l:q(l,s)});return[Tn(o,r)]});case"Unpack":{let r=I("axis",e,t,n),a=I("tensor",e,t,n);return nr(a,r)}case"Tile":{let r=I("reps",e,t,n);return[_a(I("x",e,t,n),r)]}case"Split":case"SplitV":{let r=I("axis",e,t,n),a=I("numOrSizeSplits",e,t,n),s=I("x",e,t,n);return sn(s,a,r)}case"ScatterNd":{let r=I("indices",e,t,n),a=I("values",e,t,n),s=I("shape",e,t,n);return[y0(r,a,s)]}case"GatherNd":{let r=I("x",e,t,n),a=I("indices",e,t,n);return[g0(r,a)]}case"SparseToDense":{let r=I("sparseIndices",e,t,n),a=I("outputShape",e,t,n),s=I("sparseValues",e,t,n),i=I("defaultValue",e,t,n);return[pm(r,s,a,s.dtype===i.dtype?i:ye(i,s.dtype))]}default:throw TypeError(`Node type ${e.op} is not implemented`)}},$ne=(e,t,n)=>{switch(e.op){case"FFT":return[Lu(I("x",e,t,n))];case"IFFT":return[Jo(I("x",e,t,n))];case"RFFT":return[Wu(I("x",e,t,n))];case"IRFFT":return[_d(I("x",e,t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}},Dne=(e,t,n)=>{switch(e.op){case"Cast":return[ye(I("x",e,t,n),I("dtype",e,t,n))];case"ExpandDims":{let r=I("axis",e,t,n);return[kn(I("x",e,t,n),r)]}case"Squeeze":{let r=I("axis",e,t,n);return[va(I("x",e,t,n),r)]}case"Reshape":return[q(I("x",e,t,n),I("shape",e,t,n))];case"MirrorPad":return[tm(I("x",e,t,n),I("padding",e,t,n),I("mode",e,t,n))];case"PadV2":case"Pad":return[Jr(I("x",e,t,n),I("padding",e,t,n),I("constantValue",e,t,n))];case"SpaceToBatchND":{let r=I("blockShape",e,t,n),a=I("paddings",e,t,n);return[$u(I("x",e,t,n),r,a)]}case"BatchToSpaceND":{let r=I("blockShape",e,t,n),a=I("crops",e,t,n);return[Su(I("x",e,t,n),r,a)]}case"DepthToSpace":{let r=I("blockSize",e,t,n),a=I("dataFormat",e,t,n).toUpperCase();return[Gf(I("x",e,t,n),r,a)]}case"BroadcastTo":return[Tu(I("x",e,t,n),I("shape",e,t,n))];default:throw TypeError(`Node type ${e.op} is not implemented`)}};function j7(e,t,n,r){let a=((s,i,o)=>{switch(s.category){case"arithmetic":return U(()=>pne(s,i,o));case"basic_math":return U(()=>fne(s,i,o));case"control":return wne(s,i,o);case"convolution":return U(()=>_ne(s,i,o));case"creation":return U(()=>bne(s,i,o));case"dynamic":return vne(s,i,o);case"evaluation":return U(()=>kne(s,i,o));case"image":return U(()=>Tne(s,i,o));case"graph":return U(()=>Ine(s,i,o));case"logical":return U(()=>Ene(s,i,o));case"matrices":return U(()=>Cne(s,i,o));case"normalization":return U(()=>Rne(s,i,o));case"reduction":return U(()=>Fne(s,i,o));case"slice_join":return U(()=>Mne(s,i,o));case"spectral":return U(()=>$ne(s,i,o));case"transformation":return U(()=>Dne(s,i,o));case"hash_table":return Sne(s,i,o,r);case"custom":let l=_7(s.op);if(l&&l.customExecutor)return l.customExecutor(new dne(s,i,o));throw TypeError(`Custom op ${s.op} is not registered.`);default:throw TypeError(`Unknown op '${s.op}'. File an issue at https://github.com/tensorflow/tfjs/issues so we can add it, or register a custom execution with tf.registerOp()`)}})(e,t,n);return k.isPromise(a)?a.then(s=>[].concat(s)):[].concat(a)}var G7=class{constructor(e={},t={},n={},r={}){this.weightMap=e,this.tensorArrayMap=t,this.tensorListMap=n,this.functionMap=r,this.rootContext={id:0,frameName:"",iterationId:0},this.contexts=[this.rootContext],this.lastId=0,this.generateCurrentContextIds()}newFrame(e,t){return{id:e,frameName:t,iterationId:0}}set currentContext(e){this.contexts!==e&&(this.contexts=e,this.generateCurrentContextIds())}get currentContext(){return this.contexts}get currentContextId(){return this._currentContextIds[0]}get currentContextIds(){return this._currentContextIds}generateCurrentContextIds(){let e=[];for(let t=0;tt.id===0&&t.iterationId===0?"":`${t.frameName}-${t.iterationId}`).join("/"):""}enterFrame(e){this.contexts&&(this.lastId++,this.contexts=this.contexts.slice(),this.contexts.push(this.newFrame(this.lastId,e)),this._currentContextIds.unshift(this.contextIdforContexts(this.contexts)))}exitFrame(){if(this.contexts&&this.contexts.length>1)this.contexts=this.contexts.slice(),this.contexts.splice(-1),this.currentContextIds.shift();else throw new Error("Cannot exit frame, the context is empty")}nextIteration(){if(this.contexts&&this.contexts.length>0){this.contexts=this.contexts.slice(),this.lastId++;let e=Object.assign({},this.contexts[this.contexts.length-1]);e.iterationId+=1,e.id=this.lastId,this.contexts.splice(-1,1,e),this._currentContextIds.splice(0,1,this.contextIdforContexts(this.contexts))}else throw new Error("Cannot increase frame iteration, the context is empty")}getWeight(e){return this.weightMap[e]}addTensorArray(e){this.tensorArrayMap[e.id]=e}getTensorArray(e){return this.tensorArrayMap[e]}addTensorList(e){this.tensorListMap[e.id]=e}getTensorList(e){return this.tensorListMap[e]}dispose(e){for(let t in this.tensorArrayMap)this.tensorArrayMap[t].clearAndClose(e);for(let t in this.tensorListMap)this.tensorListMap[t].clearAndClose(e)}};function X7(e,t,n,r){let a=new Set,s=[],i=null,o=null,l=new Set,c=Object.keys(e).map(d=>Mn(d)[0]),u=[];r!=null&&(u=r.map(d=>Mn(d.name)[0]));let h=[...t];for(;h.length>0;){let d=h.pop();if((q7(d)||One(d)||zne(d))&&i==null&&(i=d,o=i.children.map(p=>p.name).filter(p=>a.has(p))),a.add(d.name),n[d.name]==null&&c.indexOf(d.name)===-1&&u.indexOf(d.name)===-1){if(d.inputs.length===0){s.push(d.name);continue}d.inputs.forEach(p=>{l.has(p.name)||(l.add(p.name),h.push(p))})}}return{inputs:e,outputs:t,usedNodes:a,missingInputs:s,dynamicNode:i,syncInputs:o}}function Pne(e,t,n){let{usedNodes:r,inputs:a}=n,s=[],i=Object.keys(a).map(u=>Mn(u)[0]).map(u=>e.nodes[u]),o=e.initNodes;i.forEach(u=>{r.has(u.name)&&s.push(u)}),e.weights.forEach(u=>{r.has(u.name)&&s.push(u)}),o!=null&&o.forEach(u=>{r.has(u.name)&&s.push(u)});let l=new Set,c=[];for(;s.length>0;){let u=s.pop();l.add(u.name),t[u.name]||c.push(u),u.children.forEach(h=>{!l.has(h.name)&&r.has(h.name)&&h.inputs.every(d=>l.has(d.name))&&s.push(h)})}return c}var Lne=["Switch","Merge","Enter","Exit","NextIteration","StatelessIf","StatelessWhile","if","While"],Wne=["NonMaxSuppressionV2","NonMaxSuppressionV3","NonMaxSuppressionV5","Where"],Bne=["HashTable","HashTableV2","LookupTableImport","LookupTableImportV2","LookupTableFind","LookupTableFindV2"];function q7(e){return Lne.indexOf(e.op)>=0}function One(e){return Wne.indexOf(e.op)>=0}function zne(e){return Bne.indexOf(e.op)>=0}var Ug=class{constructor(e,t){this.graph=e,this.parent=t,this.compiledMap=new Map,this._weightMap={},this.SEPERATOR=",",this._functions={},this._functionExecutorMap={},this._outputs=e.outputs,this._inputs=e.inputs,this._initNodes=e.initNodes,this._signature=e.signature,this._functions=e.functions,e.functions!=null&&Object.keys(e.functions).forEach(n=>{this._functionExecutorMap[n]=new Ug(e.functions[n],this)})}get weightIds(){return this.parent?this.parent.weightIds:this._weightIds}get functionExecutorMap(){return this.parent?this.parent.functionExecutorMap:this._functionExecutorMap}get weightMap(){return this.parent?this.parent.weightMap:this._weightMap}set weightMap(e){let t=Object.keys(e).map(n=>e[n].map(r=>r.id));this._weightIds=[].concat(...t),this._weightMap=e}set resourceManager(e){this._resourceManager=e}get inputs(){return this._inputs.map(e=>({name:e.name,shape:e.attrParams.shape?e.attrParams.shape.value:void 0,dtype:e.attrParams.dtype?e.attrParams.dtype.value:void 0}))}get outputs(){return this._outputs.map(e=>({name:e.name,shape:e.attrParams.shape?e.attrParams.shape.value:void 0,dtype:e.attrParams.dtype?e.attrParams.dtype.value:void 0}))}get inputNodes(){return this._inputs.map(e=>e.signatureKey||e.name)}get outputNodes(){return this._outputs.map(e=>{let t=e.signatureKey||e.name;return e.defaultOutput?`${t}:${e.defaultOutput}`:t})}get functions(){return Object.keys(this._functions).reduce((e,t)=>(e[t]=this._functions[t].signature,e),{})}getCompilationKey(e,t){let n=e.map(a=>a.name).sort(),r=t.map(a=>a.name).sort();return n.join(this.SEPERATOR)+"--"+r.join(this.SEPERATOR)}compile(e,t){let n=X7(e,t,this.weightMap,this._initNodes),{missingInputs:r,dynamicNode:a,syncInputs:s}=n;if(a!=null)throw new Error(`This execution contains the node '${a.name}', which has the dynamic op '${a.op}'. Please use model.executeAsync() instead. Alternatively, to avoid the dynamic ops, specify the inputs [${s}]`);if(r.length>0){let i=t.map(l=>l.name),o=Object.keys(e);throw new Error(`Cannot compute the outputs [${i}] from the provided inputs [${o}]. Missing the following inputs: [${r}]`)}return Pne(this.graph,this.weightMap,n)}execute(e,t){e=this.mapInputs(e);let n=Object.keys(e).sort();this.checkInputs(e),this.checkInputShapeAndType(e),t=this.mapOutputs(t),this.checkOutputs(t);let r=n.map(u=>this.graph.nodes[Mn(u)[0]]),a=t.map(u=>Mn(u)[0]),s=a.map(u=>this.graph.nodes[u]);s.length===0&&(s=this._outputs);let i=this.getCompilationKey(r,s),o=this.compiledMap.get(i);o==null&&(o=this.compile(e,s),this.compiledMap.set(i,o));let l={},c={};return U(()=>{let u=new G7(this.weightMap,l,c,this.functionExecutorMap),h=Object.assign({},this.weightMap);Object.keys(e).forEach(f=>{let[m,A]=Mn(f),y=[];y[A]=e[f],h[m]=y});let d=this.getFrozenTensorIds(h),p={};for(let f=0;fwn(f,h,u))})}getFrozenTensorIds(e){let t=[].concat.apply([],Object.keys(e).map(n=>e[n]).map(n=>n.map(r=>r.id)));return new Set(t)}checkTensorForDisposal(e,t,n,r,a,s,i){t.category==="control"||s.indexOf(e)!==-1||(n[e].forEach(o=>{o!=null&&(i[o.id]=(i[o.id]||0)+t.children.length)}),t.inputs.forEach(o=>{if(o.category!=="control"){let l=qte(o.name,n,r);l!=null&&l.forEach(c=>{if(c&&!a.has(c.id)){let u=i[c.id];u===1?(c.dispose(),delete i[c.id]):u!=null&&i[c.id]--}})}}))}async executeAsync(e,t){return this._executeAsync(e,t)}async _executeAsync(e,t,n=!1,r={},a={}){n||(e=this.mapInputs(e),this.checkInputs(e),this.checkInputShapeAndType(e),t=this.mapOutputs(t),this.checkOutputs(t));let s=new G7(this.weightMap,r,a,this.functionExecutorMap),i=await this.executeWithControlFlow(e,s,t,n),o=t.map(h=>wn(h,i,s)),l=o.map(h=>h.id),c=Object.keys(e).map(h=>e[h].id),u=new Set([...l,...c,...this.weightIds]);return Object.keys(i).forEach(h=>{i[h].forEach(d=>{d&&!d.isDisposed&&!u.has(d.id)&&d.dispose()})}),this.parent==null&&s.dispose(u),o}async executeFunctionAsync(e,t,n){let r=e.reduce((a,s,i)=>(a[this.inputs[i].name]=s,a),{});return this._executeAsync(r,this.outputNodes,!0,t,n)}async executeWithControlFlow(e,t,n,r){let a=Object.keys(e),s=a.map(g=>this.graph.nodes[Mn(g)[0]]),i=n.map(g=>Mn(g)[0]),o=i.map(g=>this.graph.nodes[g]);o.length===0&&(o=this._outputs);let{usedNodes:l,missingInputs:c,dynamicNode:u,syncInputs:h}=X7(e,o,this.weightMap,this._initNodes),d=[...s,...this.graph.weights,...this._initNodes||[]].map(g=>({node:g,contexts:t.currentContext})),p=Object.assign({},this.weightMap);Object.keys(e).forEach(g=>{let[b,x]=Mn(g),w=[];w[x]=e[g],p[b]=w});let f={},m=this.getFrozenTensorIds(p),A={};for(;d.length>0;){let g=this.processStack(s,d,t,p,A,m,i,f,l);await Promise.all(g)}u==null&&!r&&console.warn("This model execution did not contain any nodes with control flow or dynamic output shapes. You can use model.execute() instead.");let y=o.filter(g=>!q7(g)&&!wn(g.name,p,t)).map(g=>g.name);if(y.length>0){let g="";throw u!=null&&(g=`Alternatively, to avoid the dynamic ops, use model.execute() and specify the inputs [${h}]`),new Error(`Cannot compute the outputs [${y}] from the provided inputs [${a}]. Consider providing the following inputs: [${c}]. ${g}`)}return p}processStack(e,t,n,r,a,s,i,o,l){let c=[];for(;t.length>0;){let u=t.pop();n.currentContext=u.contexts;let h="";if(u.node.op==="Enter"&&I("isConstant",u.node,r,n)&&([h]=oa(u.node.name,n)),r[u.node.name]==null){let d=j7(u.node,r,n,this._resourceManager);h||([h]=oa(u.node.name,n));let p=n.currentContext;k.isPromise(d)?c.push(d.then(f=>(r[h]=f,n.currentContext=p,this.checkTensorForDisposal(h,u.node,r,n,s,i,o),this.processChildNodes(u.node,t,n,r,a,l),f))):(r[h]=d,this.checkTensorForDisposal(h,u.node,r,n,s,i,o),this.processChildNodes(u.node,t,n,r,a,l))}else this.processChildNodes(u.node,t,n,r,a,l)}return c}processChildNodes(e,t,n,r,a,s){e.children.forEach(i=>{let[o]=oa(i.name,n);a[o]||!s.has(i.name)||(i.op==="Merge"?i.inputNames.some(l=>!!wn(l,r,n))&&(a[o]=!0,t.push({contexts:n.currentContext,node:i})):i.inputNames.every(l=>!!wn(l,r,n))&&(a[o]=!0,t.push({contexts:n.currentContext,node:i})))})}dispose(){Object.keys(this.weightMap).forEach(e=>this.weightMap[e].forEach(t=>t.dispose()))}checkInputShapeAndType(e){Object.keys(e).forEach(t=>{let n=e[t],[r]=Mn(t),a=this.graph.nodes[r];if(a.attrParams.shape&&a.attrParams.shape.value){let s=a.attrParams.shape.value,i=s.length===n.shape.length&&n.shape.every((o,l)=>s[l]===-1||s[l]===o);k.assert(i,()=>`The shape of dict['${a.name}'] provided in model.execute(dict) must be [${s}], but was [${n.shape}]`)}a.attrParams.dtype&&a.attrParams.dtype.value&&k.assert(n.dtype===a.attrParams.dtype.value,()=>`The dtype of dict['${a.name}'] provided in model.execute(dict) must be ${a.attrParams.dtype.value}, but was ${n.dtype}`)})}mapInputs(e){let t={};for(let n in e)if(this._signature!=null&&this._signature.inputs!=null&&this._signature.inputs[n]!=null){let r=this._signature.inputs[n];t[r.name]=e[n]}else t[n]=e[n];return t}checkInputs(e){let t=Object.keys(e).filter(n=>{let[r]=Mn(n);return this.graph.nodes[r]==null});if(t.length>0)throw new Error(`The dict provided in model.execute(dict) has keys: [${t}] that are not part of graph`)}mapOutputs(e){return e.map(t=>this._signature!=null&&this._signature.outputs!=null&&this._signature.outputs[t]!=null?this._signature.outputs[t].name:t,{})}checkOutputs(e){e.forEach(t=>{let[n]=Mn(t);if(!this.graph.nodes[n])throw new Error(`The output '${t}' is not found in the graph`)})}},Vne=class{constructor(e={},t={}){this.hashTableNameToHandle=e,this.hashTableMap=t}addHashTable(e,t){this.hashTableNameToHandle[e]=t.handle,this.hashTableMap[t.id]=t}getHashTableHandleByName(e){return this.hashTableNameToHandle[e]}getHashTableById(e){return this.hashTableMap[e]}dispose(){for(let e in this.hashTableMap)this.hashTableMap[e].clearAndClose(),delete this.hashTableMap[e];for(let e in this.hashTableNameToHandle)this.hashTableNameToHandle[e].dispose(),delete this.hashTableNameToHandle[e]}},Une="?tfjs-format=file",Hne="model.json",V0=class{constructor(e,t={}){this.modelUrl=e,this.loadOptions=t,this.version="n/a",t==null&&(this.loadOptions={}),this.resourceManager=new Vne}get modelVersion(){return this.version}get inputNodes(){return this.executor.inputNodes}get outputNodes(){return this.executor.outputNodes}get inputs(){return this.executor.inputs}get outputs(){return this.executor.outputs}get weights(){return this.executor.weightMap}get metadata(){return this.artifacts.userDefinedMetadata}get modelSignature(){return this.signature}findIOHandler(){let e=this.modelUrl;if(e.load!=null)this.handler=e;else if(this.loadOptions.requestInit!=null)this.handler=pn.browserHTTPRequest(e,this.loadOptions);else{let t=pn.getLoadHandlers(e,this.loadOptions);if(t.length===0)t.push(pn.browserHTTPRequest(e,this.loadOptions));else if(t.length>1)throw new Error(`Found more than one (${t.length}) load handlers for URL '${[e]}'`);this.handler=t[0]}}async load(){if(this.findIOHandler(),this.handler.load==null)throw new Error("Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.");let e=await this.handler.load();return this.loadSync(e)}loadSync(e){this.artifacts=e;let t=this.artifacts.modelTopology,n;this.artifacts.userDefinedMetadata!=null&&this.artifacts.userDefinedMetadata.signature!=null?n=this.artifacts.userDefinedMetadata.signature:n=this.artifacts.signature,this.signature=n,this.version=`${t.versions.producer}.${t.versions.minConsumer}`;let r=pn.decodeWeights(this.artifacts.weightData,this.artifacts.weightSpecs);if(this.executor=new Ug(W7.Instance.transformGraph(t,this.signature)),this.executor.weightMap=this.convertTensorMapToTensorsMap(r),this.executor.resourceManager=this.resourceManager,e.modelInitializer!=null&&e.modelInitializer.node!=null){let a=W7.Instance.transformGraph(e.modelInitializer);this.initializer=new Ug(a),this.initializer.weightMap=this.executor.weightMap,this.initializer.resourceManager=this.resourceManager,this.initializer.executeAsync({},[])}return!0}async save(e,t){if(typeof e=="string"){let n=pn.getSaveHandlers(e);if(n.length===0)throw new Error(`Cannot find any save handlers for URL '${e}'`);if(n.length>1)throw new Error(`Found more than one (${n.length}) save handlers for URL '${e}'`);e=n[0]}if(e.save==null)throw new Error("GraphModel.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.");return e.save(this.artifacts)}predict(e,t){return this.execute(e,this.outputNodes)}normalizeInputs(e){if(!(e instanceof et)&&!Array.isArray(e))return e;if(e=Array.isArray(e)?e:[e],e.length!==this.inputNodes.length)throw new Error(`Input tensor count mismatch,the graph model has ${this.inputNodes.length} placeholders, while there are ${e.length} input tensors.`);return this.inputNodes.reduce((t,n,r)=>(t[n]=e[r],t),{})}normalizeOutputs(e){return e=e||this.outputNodes,Array.isArray(e)?e:[e]}execute(e,t){e=this.normalizeInputs(e),t=this.normalizeOutputs(t);let n=this.executor.execute(e,t);return n.length>1?n:n[0]}async executeAsync(e,t){e=this.normalizeInputs(e),t=this.normalizeOutputs(t);let n=await this.executor.executeAsync(e,t);return n.length>1?n:n[0]}convertTensorMapToTensorsMap(e){return Object.keys(e).reduce((t,n)=>(t[n]=[e[n]],t),{})}dispose(){this.executor.dispose(),this.initializer&&this.initializer.dispose(),this.resourceManager.dispose()}};async function Jn(e,t={}){if(e==null)throw new Error("modelUrl in loadGraphModel() cannot be null. Please provide a url or an IOHandler that loads the model");t==null&&(t={}),t.fromTFHub&&e.load==null&&(e.endsWith("/")||(e=e+"/"),e=`${e}${Hne}${Une}`);let n=new V0(e,t);return await n.load(),n}var q8="3.1.0",U0={};ze(U0,{CSVDataset:()=>Z7,Dataset:()=>Fl,FileDataSource:()=>J7,TextLineDataset:()=>K7,URLDataSource:()=>Y7,array:()=>jne,csv:()=>qne,func:()=>Xne,generator:()=>Kne,microphone:()=>Jne,version_data:()=>Yne,webcam:()=>Zne,zip:()=>Gne});var Qne=el(H0()),ere=el(H0());function tre(e,t){return n1(e,t)}function n1(e,t,n=new Map,r=new Set){if(e==null)return null;if(r.has(e))throw new Error("Circular references are not supported.");if(n.has(e))return n.get(e);let a=t(e);if(a.recurse&&a.value!==null)throw new Error("A deep map function may not return both a value and recurse=true.");if(a.recurse)if(Ml(e)){let s=Array.isArray(e)?[]:{};r.add(e);for(let i in e){let o=e[i],l=n1(o,t,n,r);s[i]=l}return r.delete(e),s}else throw new Error(`Can't recurse into non-iterable type: ${e}`);else return n.set(e,a.value),a.value}function nre(e,t=e6){return Q7(e,t)}function Q7(e,t,n=new Set){let r=e[0];if(n.has(r))throw new Error("Circular references are not supported.");let a=t(e);if(a.recurse&&a.value!==null)throw new Error("A deep zip function may not return both a value and recurse=true.");if(a.recurse)if(Ml(r)){let s=Array.isArray(r)?[]:{};n.add(r);for(let i in r){let o=e.map(c=>c[i]),l=Q7(o,t,n);s[i]=l}return n.delete(r),s}else throw new Error(`Can't recurse into non-iterable type: ${r}`);else return a.value}function e6(e){return e===null?null:Ml(e[0])?{value:null,recurse:!0}:{value:e,recurse:!1}}async function t6(e,t){let n=new Map;n1(e,t,n);for(let r of Array.from(n.keys())){let a=n.get(r);if(k.isPromise(a)){let s=await a;n.set(r,s)}}return n1(e,t,n)}function Ml(e){return e!=null&&!ArrayBuffer.isView(e)&&(Array.isArray(e)||typeof e=="object"&&!(e instanceof et))}function are(e){return e==null||rre(e)||Array.isArray(e)||typeof e=="object"&&e instanceof et||k.isTypedArray(e)}function rre(e){return e===null||typeof e!="object"&&typeof e!="function"}function ire(e){return tre(e,sre)}function sre(e){return e instanceof et?{value:e.clone(),recurse:!1}:Ml(e)?{value:null,recurse:!0}:{value:e,recurse:!1}}var n6=class{constructor(e){if(this.capacity=e,this.begin=0,this.end=0,e==null)throw new RangeError("Can't create a ring buffer of unknown capacity.");if(e<1)throw new RangeError("Can't create ring buffer of capacity < 1.");this.data=new Array(e),this.doubledCapacity=2*e}wrap(e){for(;e<0;)e+=this.doubledCapacity;return e%this.doubledCapacity}get(e){if(e<0)throw new RangeError("Can't get item at a negative index.");return this.data[e%this.capacity]}set(e,t){if(e<0)throw new RangeError("Can't set item at a negative index.");this.data[e%this.capacity]=t}length(){let e=this.end-this.begin;return e<0&&(e=this.doubledCapacity+e),e}isFull(){return this.length()===this.capacity}isEmpty(){return this.length()===0}push(e){if(this.isFull())throw new RangeError("Ring buffer is full.");this.set(this.end,e),this.end=this.wrap(this.end+1)}pushAll(e){for(let t of e)this.push(t)}pop(){if(this.isEmpty())throw new RangeError("Ring buffer is empty.");this.end=this.wrap(this.end-1);let e=this.get(this.end);return this.set(this.end,void 0),e}unshift(e){if(this.isFull())throw new RangeError("Ring buffer is full.");this.begin=this.wrap(this.begin-1),this.set(this.begin,e)}shift(){if(this.isEmpty())throw new RangeError("Ring buffer is empty.");let e=this.get(this.begin);return this.set(this.begin,void 0),this.begin=this.wrap(this.begin+1),e}shuffleExcise(e){if(this.isEmpty())throw new RangeError("Ring buffer is empty.");let t=this.wrap(this.begin+e),n=this.get(t);return this.set(t,this.pop()),n}},Hg=class extends n6{constructor(){super(Hg.INITIAL_CAPACITY)}isFull(){return!1}push(e){super.isFull()&&this.expand(),super.push(e)}unshift(e){super.isFull()&&this.expand(),super.unshift(e)}expand(){let e=this.capacity*2,t=new Array(e),n=this.length();for(let r=0;rt===!0)}rowMajorBatch(e,t=!0){return new mre(this,e,t)}columnMajorBatch(e,t=!0,n=e6){return this.rowMajorBatch(e,t).map(r=>nre(r,n))}concatenate(e,t){return new a6(r6([this,e]),t)}take(e){return e<0||e==null?this:new fre(this,e)}skip(e){return e<0||e==null?this:new pre(this,e)}prefetch(e){return new i6(this,e)}shuffle(e,t){return new wre(this,e,t)}serial(){return new dre(this)}},ore=class extends qt{constructor(e){super();this.items=e,this.trav=0}summary(){return`Array of ${this.items.length} items`}async next(){if(this.trav>=this.items.length)return{value:null,done:!0};let e=this.items[this.trav];return this.trav++,{value:ire(e),done:!1}}},lre=class extends qt{constructor(e){super();this.nextFn=e}summary(){return"Function call"}async next(){try{return this.nextFn()}catch(e){throw e.message=`Error thrown while iterating through a dataset: ${e.message}`,e}}},dre=class extends qt{constructor(e){super();this.upstream=e,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> Serial`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){return this.upstream.next()}},pre=class extends qt{constructor(e,t){super();this.upstream=e,this.maxCount=t,this.count=0,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> Skip`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){for(;this.count++ Take`}async next(){return this.count++>=this.maxCount?{value:null,done:!0}:this.upstream.next()}},mre=class extends qt{constructor(e,t,n=!0){super();this.upstream=e,this.batchSize=t,this.enableSmallLastBatch=n,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> RowMajorBatch`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){let e=[];for(;e.length0?{value:e,done:!1}:{value:null,done:!0};e.push(t.value)}return{value:e,done:!1}}},Are=class extends qt{constructor(e,t){super();this.upstream=e,this.predicate=t,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> Filter`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){for(;;){let e=await this.upstream.next();if(e.done||this.predicate(e.value))return e;Fe(e.value)}}},yre=class extends qt{constructor(e,t){super();this.upstream=e,this.transform=t}summary(){return`${this.upstream.summary()} -> Map`}async next(){let e=await this.upstream.next();if(e.done)return{value:null,done:!0};let t=dr.getTensorsInContainer(e.value),n=this.transform(e.value),r=dr.getTensorsInContainer(n);for(let a of t)dr.isTensorInList(a,r)||a.dispose();return{value:n,done:!1}}},gre=class extends qt{constructor(e,t){super();this.upstream=e,this.handler=t,this.count=0,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> handleErrors`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){for(;;)try{return await this.upstream.next()}catch(e){if(!this.handler(e))return{value:null,done:!0}}}},s6=class extends qt{constructor(e,t){super();this.upstream=e,this.transform=t}summary(){return`${this.upstream.summary()} -> AsyncMap`}async next(){let e=await this.upstream.next();if(e.done)return{value:null,done:!0};let t=dr.getTensorsInContainer(e.value),n=await this.transform(e.value),r=dr.getTensorsInContainer(n);for(let a of t)dr.isTensorInList(a,r)||a.dispose();return{value:n,done:!1}}},Gg=class extends qt{constructor(){super();this.outputQueue=new Hg,this.lastRead=Promise.resolve({value:null,done:!1})}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){for(;this.outputQueue.length()===0;)if(!await this.pump())return{value:null,done:!0};return{value:this.outputQueue.shift(),done:!1}}},xre=class extends Gg{constructor(e,t){super();this.upstream=e,this.transform=t}summary(){return`${this.upstream.summary()} -> Flatmap`}async pump(){let e=await this.upstream.next();if(e.done)return!1;let t=dr.getTensorsInContainer(e.value),n=this.transform(e.value),r=dr.getTensorsInContainer(n);this.outputQueue.pushAll(n);for(let a of t)dr.isTensorInList(a,r)||a.dispose();return!0}},a6=class extends qt{constructor(e,t){super();this.baseErrorHandler=t,this.lastRead=null,this.iterator=null,this.moreIterators=e}summary(){return"TODO: fill in upstream of chained summaries -> Chained"}async next(){return this.lastRead=this.readFromChain(this.lastRead),this.lastRead}async readFromChain(e){if(await e,this.iterator==null){let n=await this.moreIterators.next();if(n.done)return{value:null,done:!0};this.iterator=n.value,this.baseErrorHandler!=null&&(this.iterator=this.iterator.handleErrors(this.baseErrorHandler))}let t=await this.iterator.next();return t.done?(this.iterator=null,this.readFromChain(e)):t}},Ba;(function(e){e[e.FAIL=0]="FAIL",e[e.SHORTEST=1]="SHORTEST",e[e.LONGEST=2]="LONGEST"})(Ba||(Ba={}));var cre=class extends qt{constructor(e,t=Ba.FAIL){super();this.iterators=e,this.mismatchMode=t,this.count=0,this.currentPromise=null}summary(){return"{TODO: fill in upstream of zip summaries} -> Zip"}async nextState(e){await e;let t=0,n=0;function r(s){return s instanceof qt?{value:s.next().then(i=>(t++,i.done&&n++,i.value)),recurse:!1}:{value:null,recurse:!0}}let a=await t6(this.iterators,r);if(t===n)return{value:null,done:!0};if(n>0)switch(this.mismatchMode){case Ba.FAIL:throw new Error(`Zipped streams should have the same length. Mismatched at element ${this.count}.`);case Ba.SHORTEST:return{value:null,done:!0};case Ba.LONGEST:default:}return this.count++,{value:a,done:!1}}async next(){return this.currentPromise=this.nextState(this.currentPromise),this.currentPromise}},i6=class extends qt{constructor(e,t){super();this.upstream=e,this.bufferSize=t,this.buffer=new n6(t)}summary(){return`${this.upstream.summary()} -> Prefetch`}refill(){for(;!this.buffer.isFull();){let e=this.upstream.next();this.buffer.push(e)}}next(){return this.refill(),this.buffer.shift()}},wre=class extends i6{constructor(e,t,n){super(e,t);this.upstream=e,this.windowSize=t,this.upstreamExhausted=!1,this.random=ere.alea(n||k.now().toString()),this.lastRead=Promise.resolve({value:null,done:!1})}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}randomInt(e){return Math.floor(this.random()*e)}chooseIndex(){return this.randomInt(this.buffer.length())}async serialNext(){for(this.upstreamExhausted||this.refill();!this.buffer.isEmpty();){let e=this.chooseIndex(),t=await this.buffer.shuffleExcise(e);if(t.done)this.upstreamExhausted=!0;else return this.refill(),t}return{value:null,done:!0}}},Fl=class{constructor(){this.size=null}batch(e,t=!0){let n=this;k.assert(e>0,()=>`batchSize needs to be positive, but it is ${e}`);let r;return this.size===Infinity||this.size==null?r=this.size:t?r=Math.ceil(this.size/e):r=Math.floor(this.size/e),$n(async()=>(await n.iterator()).columnMajorBatch(e,t,_re),r)}concatenate(e){let t=this,n;return this.size===Infinity||e.size===Infinity?n=Infinity:this.size!=null&&e.size!=null?n=this.size+e.size:n=null,$n(async()=>(await t.iterator()).concatenate(await e.iterator()),n)}filter(e){let t=this,n;return this.size===Infinity?n=Infinity:n=null,$n(async()=>(await t.iterator()).filter(r=>U(()=>e(r))),n)}async forEachAsync(e){return(await this.iterator()).forEachAsync(e)}map(e){let t=this;return $n(async()=>(await t.iterator()).map(n=>U(()=>e(n))),this.size)}mapAsync(e){let t=this;return $n(async()=>(await t.iterator()).mapAsync(e),this.size)}prefetch(e){if(e==null)throw new RangeError("`Dataset.prefetch()` requires bufferSize to be specified.");let t=this;return $n(async()=>(await t.iterator()).prefetch(e),this.size)}repeat(e){let t=this,n;return this.size!=null&&e>0?n=this.size*e:e===0?n=0:this.size!=null&&(e===void 0||e<0)?n=Infinity:n=null,$n(async()=>{let r=jg(async()=>({value:await t.iterator(),done:!1}));return ure(r.take(e))},n)}skip(e){let t=this,n;return this.size!=null&&e>=0&&this.size>=e?n=this.size-e:this.size!=null&&(this.size(await t.iterator()).skip(e),n)}shuffle(e,t,n=!0){if(e==null||e<0)throw this.size==null?new RangeError("`Dataset.shuffle()` requires bufferSize to be specified."):new RangeError(`\`Dataset.shuffle()\` requires bufferSize to be specified. If your data fits in main memory (for regular JS objects), and/or GPU memory (for \`tf.Tensor\`s), consider setting bufferSize to the dataset size (${this.size} elements)`);let r=this,a=Qne.alea(t||k.now().toString());return $n(async()=>{let s=a.int32();return n&&(s+=a.int32()),(await r.iterator()).shuffle(e,s.toString())},this.size)}take(e){let t=this,n;return this.size!=null&&this.size>e?n=e:this.size!=null&&this.size<=e?n=this.size:n=null,$n(async()=>(await t.iterator()).take(e),n)}async toArray(){if(this.size===Infinity)throw new Error("Can not convert infinite data stream to array.");return(await this.iterator()).toArray()}async toArrayForTest(){if(this.size===Infinity)throw new Error("Can not convert infinite data stream to array.");return(await this.iterator()).toArrayForTest()}};Fl.MAX_BUFFER_SIZE=1e4;function $n(e,t=null){return new class extends Fl{constructor(){super(...arguments);this.size=t}async iterator(){return e()}}}function jne(e){return $n(async()=>r6(e),e.length)}function Gne(e){if(!Ml(e))throw new Error("The argument to zip() must be an object or array.");let t;if(Array.isArray(e))for(let n=0;n{let n=await t6(e,r=>{if(r instanceof Fl)return{value:r.iterator(),recurse:!1};if(Ml(r))return{value:null,recurse:!0};throw new Error("Leaves of the structure passed to zip() must be Datasets, not primitives.")});return hre(n,Ba.SHORTEST)},t)}function _re(e){if(e===null)return null;let t=e[0];return are(t)?{value:bre(e),recurse:!1}:{value:null,recurse:!0}}function bre(e){if(e.length===0)throw new Error("Can't make a batch of zero elements.");return e[0]instanceof et?Tn(e):pr(e)}var K7=class extends Fl{constructor(e){super();this.input=e}async iterator(){return(await this.input.iterator()).decodeUTF8().split(` -`).map(e=>(e.endsWith("\r")&&(e=e.slice(0,-1)),e))}},r1='"',Pc=Symbol("out"),o6=Symbol("field"),a1=Symbol("quote"),qg=Symbol("quoteafterquote"),l6=Symbol("quoteinquote"),Z7=class extends Fl{constructor(e,t){super();this.input=e,this.hasHeader=!0,this.fullColumnNames=null,this.columnNamesValidated=!1,this.columnConfigs=null,this.configuredColumnsOnly=!1,this.delimiter=",",this.delimWhitespace=!1,this.base=new K7(e),t||(t={}),this.hasHeader=t.hasHeader!==!1,this.fullColumnNames=t.columnNames,this.columnConfigs=t.columnConfigs,this.configuredColumnsOnly=t.configuredColumnsOnly,t.delimWhitespace?(k.assert(t.delimiter==null,()=>"Delimiter should not be provided when delimWhitespace is true."),this.delimWhitespace=!0,this.delimiter=" "):this.delimiter=t.delimiter?t.delimiter:","}async columnNames(){return this.columnNamesValidated||await this.setColumnNames(),this.configuredColumnsOnly?Object.keys(this.columnConfigs):this.fullColumnNames}async setColumnNames(){let e=await this.maybeReadHeaderLine();if(!this.fullColumnNames&&!e)throw new Error("Column names must be provided if there is no header line.");this.fullColumnNames&&e&&k.assert(e.length===this.fullColumnNames.length,()=>"The length of provided columnNames ("+this.fullColumnNames.length.toString()+") does not match the length of the header line read from file ("+e.length.toString()+")."),this.fullColumnNames||(this.fullColumnNames=e);let t=this.fullColumnNames.reduce((r,a)=>(r[a]=r[a]+1||1,r),{}),n=Object.keys(t).filter(r=>t[r]>1);if(k.assert(n.length===0,()=>"Duplicate column names found: "+n.toString()),this.columnConfigs){for(let r of Object.keys(this.columnConfigs))if(this.fullColumnNames.indexOf(r)===-1)throw new Error('The key "'+r+'" provided in columnConfigs does not match any of the column names ('+this.fullColumnNames.toString()+").")}this.columnNamesValidated=!0}async maybeReadHeaderLine(){if(this.hasHeader){let e=await(await this.base.iterator()).next();if(e.done)throw new Error("No data was found for CSV parsing.");let t=e.value;return this.parseRow(t,!1)}else return null}async iterator(){this.columnNamesValidated||await this.setColumnNames();let e=await this.base.iterator();return this.hasHeader&&(e=e.skip(1)),e.map(t=>this.makeDataElement(t))}makeDataElement(e){let t=this.parseRow(e),n={},r={};for(let a=0;a14||!Number.isInteger(t))throw new Error(`Invalid fftSize: it must be a power of 2 between 2 to 4 and 2 to 14, but got ${this.fftSize}`);if(this.numFrames=e.numFramesPerSpectrogram||43,this.sampleRateHz=e.sampleRateHz,this.columnTruncateLength=e.columnTruncateLength||this.fftSize,this.audioTrackConstraints=e.audioTrackConstraints,this.smoothingTimeConstant=e.smoothingTimeConstant||0,this.includeSpectrogram=e.includeSpectrogram!==!1,this.includeWaveform=e.includeWaveform===!0,!this.includeSpectrogram&&!this.includeWaveform)throw new Error("Both includeSpectrogram and includeWaveform are false. At least one type of data should be returned.")}summary(){return"microphone"}static async create(e={}){if(Q().get("IS_NODE"))throw new Error("microphone API is only supported in browser environment.");let t=new u6(e);return await t.start(),t}async start(){try{this.stream=await navigator.mediaDevices.getUserMedia({audio:this.audioTrackConstraints==null?!0:this.audioTrackConstraints,video:!1})}catch(n){throw new Error(`Error thrown while initializing video stream: ${n.message}`)}if(!this.stream)throw new Error("Could not obtain audio from microphone.");let e=window.AudioContext||window.webkitAudioContext;if(this.audioContext=new e,!this.sampleRateHz)this.sampleRateHz=this.audioContext.sampleRate;else if(this.audioContext.sampleRate!==this.sampleRateHz)throw new Error(`Mismatch in sampling rate: Expected: ${this.sampleRateHz}; Actual: ${this.audioContext.sampleRate}`);let t=this.audioContext.createMediaStreamSource(this.stream);this.analyser=this.audioContext.createAnalyser(),this.analyser.fftSize=this.fftSize*2,this.analyser.smoothingTimeConstant=this.smoothingTimeConstant,t.connect(this.analyser),this.freqData=new Float32Array(this.fftSize),this.timeData=new Float32Array(this.fftSize)}async next(){if(this.isClosed)return{value:null,done:!0};let e,t,n=await this.getAudioData();if(this.includeSpectrogram){let r=this.flattenQueue(n.freqDataQueue);e=this.getTensorFromAudioDataArray(r,[this.numFrames,this.columnTruncateLength,1])}if(this.includeWaveform){let r=this.flattenQueue(n.timeDataQueue);t=this.getTensorFromAudioDataArray(r,[this.numFrames*this.fftSize,1])}return{value:{spectrogram:e,waveform:t},done:!1}}async capture(){return(await this.next()).value}async getAudioData(){let e=[],t=[],n=0;return new Promise(r=>{let a=setInterval(()=>{this.includeSpectrogram&&(this.analyser.getFloatFrequencyData(this.freqData),this.freqData[0]===-Infinity&&r({freqDataQueue:e,timeDataQueue:t}),e.push(this.freqData.slice(0,this.columnTruncateLength))),this.includeWaveform&&(this.analyser.getFloatTimeDomainData(this.timeData),t.push(this.timeData.slice())),++n===this.numFrames&&(clearInterval(a),r({freqDataQueue:e,timeDataQueue:t}))},this.fftSize/this.sampleRateHz*1e3)})}stop(){this.isClosed||(this.isClosed=!0,this.analyser.disconnect(),this.audioContext.close(),this.stream!=null&&this.stream.getTracks().length>0&&this.stream.getTracks()[0].stop())}toArray(){throw new Error("Can not convert infinite audio stream to array.")}getSampleRate(){return this.sampleRateHz}flattenQueue(e){let t=e[0].length,n=new Float32Array(e.length*t);return e.forEach((r,a)=>n.set(r,a*t)),n}getTensorFromAudioDataArray(e,t){let n=new Float32Array(k.sizeFromShape(t));return n.set(e,n.length-e.length),pr(n,t)}},c6=class extends qt{constructor(e,t){super();if(this.webcamVideoElement=e,this.webcamConfig=t,this.isClosed=!0,this.resize=!1,this.needToResize())if(this.resize=!0,this.cropSize=[this.webcamConfig.resizeHeight,this.webcamConfig.resizeWidth],this.cropBoxInd=en([0],"int32"),this.webcamConfig.centerCrop){let n=this.webcamConfig.resizeWidth*1/this.webcamVideoElement.width,r=this.webcamConfig.resizeHeight*1/this.webcamVideoElement.height,a=(1-n)/2,s=(1-r)/2,i=a+n,o=r+s;this.cropBox=fr([s,a,o,i],[1,4])}else this.cropBox=fr([0,0,1,1],[1,4])}summary(){return"webcam"}static async create(e,t={}){if(Q().get("IS_NODE"))throw new Error("tf.data.webcam is only supported in browser environment.");if(!e){if(e=document.createElement("video"),!t.resizeWidth||!t.resizeHeight)throw new Error("Please provide webcam video element, or resizeWidth and resizeHeight to create a hidden video element.");e.width=t.resizeWidth,e.height=t.resizeHeight}let n=new c6(e,t);return await n.start(),n}async start(){this.webcamConfig.facingMode&&k.assert(this.webcamConfig.facingMode==="user"||this.webcamConfig.facingMode==="environment",()=>`Invalid webcam facing mode: ${this.webcamConfig.facingMode}. Please provide 'user' or 'environment'`);try{this.stream=await navigator.mediaDevices.getUserMedia({video:{deviceId:this.webcamConfig.deviceId,facingMode:this.webcamConfig.facingMode?this.webcamConfig.facingMode:"user",width:this.webcamVideoElement.width,height:this.webcamVideoElement.height}})}catch(e){throw e.message=`Error thrown while initializing video stream: ${e.message}`,e}if(!this.stream)throw new Error("Could not obtain video from webcam.");try{this.webcamVideoElement.srcObject=this.stream}catch(e){console.log(e),this.webcamVideoElement.src=window.URL.createObjectURL(this.stream)}return this.webcamVideoElement.play(),this.isClosed=!1,new Promise(e=>{this.webcamVideoElement.onloadedmetadata=()=>{e()}})}async next(){if(this.isClosed)return{value:null,done:!0};let e;try{e=bu.fromPixels(this.webcamVideoElement)}catch(t){throw new Error(`Error thrown converting video to pixels: ${JSON.stringify(t)}`)}if(this.resize)try{return{value:this.cropAndResizeFrame(e),done:!1}}catch(t){throw new Error(`Error thrown cropping the video: ${t.message}`)}finally{e.dispose()}else return{value:e,done:!1}}needToResize(){return!!(this.webcamConfig.resizeWidth&&this.webcamConfig.resizeHeight&&(this.webcamVideoElement.width!==this.webcamConfig.resizeWidth||this.webcamVideoElement.height!==this.webcamConfig.resizeHeight))}cropAndResizeFrame(e){return U(()=>{let t=kn(ye(e,"float32"),0),n;n=St.cropAndResize(t,this.cropBox,this.cropBoxInd,this.cropSize,"bilinear");let r=n.shape;return q(n,r.slice(1))})}async capture(){return(await this.next()).value}stop(){this.stream.getTracks().forEach(e=>e.stop());try{this.webcamVideoElement.srcObject=null}catch(e){console.log(e),this.webcamVideoElement.src=null}this.isClosed=!0}toArray(){throw new Error("Can not convert infinite video stream to array.")}},h6=class{},d6=class extends qt{split(e){return new vre(this,e)}},vre=class extends d6{constructor(e,t){super();this.upstream=e,this.impl=new kre(e,t)}summary(){return this.impl.summary()}async next(){return this.impl.next()}},kre=class extends Gg{constructor(e,t){super();this.upstream=e,this.separator=t,this.carryover=""}summary(){return`${this.upstream.summary()} -> Split('${this.separator}')`}async pump(){let e=await this.upstream.next();if(e.done)return this.carryover===""?!1:(this.outputQueue.push(this.carryover),this.carryover="",!0);let t=e.value.split(this.separator);t[0]=this.carryover+t[0];for(let n of t.slice(0,-1))this.outputQueue.push(n);return this.carryover=t[t.length-1],!0}},Nre=class extends qt{decodeUTF8(){return new Ire(this)}},Ire=class extends d6{constructor(e){super();this.upstream=e,this.impl=new Sre(e)}summary(){return this.impl.summary()}async next(){return this.impl.next()}},Sre=class extends Gg{constructor(e){super();if(this.upstream=e,Q().get("IS_BROWSER"))this.decoder=new TextDecoder("utf-8");else{let{StringDecoder:t}=Ck();this.decoder=new t("utf8")}}summary(){return`${this.upstream.summary()} -> Utf8`}async pump(){let e=await this.upstream.next(),t;if(e.done)return!1;t=e.value;let n;return Q().get("IS_BROWSER")?n=this.decoder.decode(t,{stream:!0}):n=this.decoder.write(Buffer.from(t.buffer)),this.outputQueue.push(n),!0}},p6=class extends Nre{constructor(e,t={}){super();this.file=e,this.options=t,k.assert(e instanceof Uint8Array||(Q().get("IS_BROWSER")?e instanceof File||e instanceof Blob:!1),()=>"FileChunkIterator only supports File, Blob and Uint8Array right now."),this.offset=t.offset||0,this.chunkSize=t.chunkSize||1024*1024}summary(){return`FileChunks ${this.file}`}async next(){return this.offset>=(this.file instanceof Uint8Array?this.file.byteLength:this.file.size)?{value:null,done:!0}:{value:await new Promise((e,t)=>{let n=this.offset+this.chunkSize;if(this.file instanceof Uint8Array)e(new Uint8Array(this.file.slice(this.offset,n)));else{let r=new FileReader;r.onload=s=>{let i=r.result;if(i instanceof ArrayBuffer&&(i=new Uint8Array(i)),!(i instanceof Uint8Array))return t(new TypeError("FileReader returned unknown type."));e(i)},r.onabort=s=>t(new Error("Aborted")),r.onerror=s=>t(new Error(s.type));let a=this.file.slice(this.offset,n);r.readAsArrayBuffer(a)}this.offset=n}),done:!1}}};async function Ere(e,t={}){let n,r;typeof e=="string"?n=e:(n=e.url,r=Tre(e));let a=await k.fetch(n,r);if(a.ok){let s=new Uint8Array(await a.arrayBuffer());return new p6(s,t)}else throw new Error(a.statusText)}var Tre=e=>({method:e.method,headers:e.headers,body:e.body,mode:e.mode,credentials:e.credentials,cache:e.cache,redirect:e.redirect,referrer:e.referrer,integrity:e.integrity});function f6(e){return typeof e=="string"&&e.substr(0,7)==="file://"}var J7=class extends h6{constructor(e,t={}){super();this.input=e,this.options=t}async iterator(){if(f6(this.input)&&Q().get("IS_NODE")){let e=require("fs");this.input=e.readFileSync(this.input.substr(7))}return new p6(this.input,this.options)}},Y7=class extends h6{constructor(e,t={}){super();this.url=e,this.fileOptions=t}async iterator(){return f6(this.url)?new J7(this.url,this.fileOptions).iterator():Ere(this.url,this.fileOptions)}};function qne(e,t={}){return new Z7(new Y7(e),t)}function Xne(e){let t=jg(e);return $n(async()=>t)}function Kne(e){return $n(async()=>{let t=await e();return jg(()=>t.next())})}async function Zne(e,t){return c6.create(e,t)}async function Jne(e){return u6.create(e)}var Yne="3.1.0",X8={tfjs:Rk,"tfjs-core":Fk,"tfjs-data":Mk,"tfjs-layers":$k,"tfjs-converter":Dk,"tfjs-backend-cpu":b0,"tfjs-backend-webgl":I0,"tfjs-backend-wasm":T0},hn={name:"humangl",priority:99,canvas:null,gl:null,width:1024,height:1024,webGLattr:{alpha:!1,antialias:!1,premultipliedAlpha:!1,preserveDrawingBuffer:!1,depth:!1,stencil:!1,failIfMajorPerformanceCaveat:!1,desynchronized:!0}};function Cre(){if(!q2(hn.name)){Ve("backend registration:",hn.name);try{hn.canvas=typeof OffscreenCanvas!="undefined"?new OffscreenCanvas(hn.width,hn.height):document.createElement("canvas")}catch(e){Ve("error: cannot create canvas:",e);return}try{hn.gl=hn.canvas.getContext("webgl2",hn.webGLattr)}catch(e){Ve("error: cannot get WebGL2 context:",e);return}try{Am(2,hn.gl)}catch(e){Ve("error: cannot set WebGL2 context:",e);return}try{let e=new ym(hn.gl);vu(hn.name,()=>new Vu(e),hn.priority)}catch(e){Ve("error: cannot register WebGL backend:",e);return}try{wu("webgl").forEach(e=>{let t={...e,backendName:hn.name};Wo(t)})}catch(e){Ve("error: cannot update WebGL backend registration:",e);return}try{fa.set("WEBGL_VERSION",2),fa.set("WEBGL_MAX_TEXTURE_SIZE",hn.gl.getParameter(hn.gl.MAX_TEXTURE_SIZE)),fa.set("WEBGL_FORCE_F16_TEXTURES",!0),fa.set("WEBGL_PACK_DEPTHWISECONV",!0)}catch(e){Ve("error: cannot set WebGL backend flags:",e);return}Ve("backend registered:",hn.name)}}var m6=6;function Rre(e){let t={strides:[e/16,e/8],anchors:[2,6]},n=[];for(let r=0;r({startEndTensor:e,startPoint:Me(e,[0,0],[-1,2]),endPoint:Me(e,[0,2],[-1,2])});function Mre(e,t,n){let r=Me(e,[0,1],[-1,2]),a=oe(r,t),s=Me(e,[0,3],[-1,2]),i=Ne(s,n),o=Ne(a,n),l=Ne(i,2),c=we(o,l),u=oe(o,l),h=L(c,n),d=L(u,n);return td([h,d],1)}var $re=class{constructor(e,t){this.blazeFaceModel=e,this.width=t.face.detector.inputSize,this.height=t.face.detector.inputSize,this.anchorsData=Rre(t.face.detector.inputSize),this.anchors=fr(this.anchorsData),this.inputSize=en([this.width,this.height]),this.config=t,this.scaleFaces=.8}async getBoundingBoxes(e){if(!e||e.isDisposedInternal||e.shape.length!==4||e.shape[1]<1||e.shape[2]<1)return null;let[t,n,r]=U(()=>{let c=e.resizeBilinear([this.width,this.height]),u=we(c.div(127.5),1),h=this.blazeFaceModel.predict(u),d;if(Array.isArray(h)){let A=h.sort((b,x)=>b.size-x.size),y=ct([A[0],A[2]],2),g=ct([A[1],A[3]],2);d=ct([g,y],1).squeeze(0)}else d=h.squeeze();let p=Mre(d,this.anchors,this.inputSize),f=Me(d,[0,0],[-1,1]),m=Qn(f).squeeze();return[d,p,m]}),a=await St.nonMaxSuppressionAsync(n,r,this.config.face.detector.maxFaces,this.config.face.detector.iouThreshold,this.config.face.detector.scoreThreshold),s=a.arraySync();a.dispose();let i=s.map(c=>Me(n,[c,0],[1,-1])).map(c=>{let u=c.arraySync();return c.dispose(),u}),o=r.dataSync(),l=[];for(let c=0;cthis.config.face.detector.minConfidence){let d=Fre(i[c]),p=this.anchorsData[u],f=U(()=>Me(t,[u,m6-1],[1,-1]).squeeze().reshape([m6,-1]));l.push({box:d,landmarks:f,anchor:p,confidence:h})}}return t.dispose(),n.dispose(),r.dispose(),t.dispose(),{boxes:l,scaleFactor:[e.shape[2]/this.width,e.shape[1]/this.height]}}};async function U4(e){let t=await Jn(e.face.detector.modelPath,{fromTFHub:e.face.detector.modelPath.includes("tfhub.dev")}),n=new $re(t,e);return Ve(`load model: ${e.face.detector.modelPath.match(/\/(.*)\./)[1]}`),n}function Dre(e,t){let n=[e.startPoint[0]*t[0],e.startPoint[1]*t[1]],r=[e.endPoint[0]*t[0],e.endPoint[1]*t[1]];return{startPoint:n,endPoint:r}}function s1(e){return[Math.abs(e.endPoint[0]-e.startPoint[0]),Math.abs(e.endPoint[1]-e.startPoint[1])]}function i1(e){return[e.startPoint[0]+(e.endPoint[0]-e.startPoint[0])/2,e.startPoint[1]+(e.endPoint[1]-e.startPoint[1])/2]}function A6(e,t,n){let r=t.shape[1],a=t.shape[2],s=[[e.startPoint[1]/r,e.startPoint[0]/a,e.endPoint[1]/r,e.endPoint[0]/a]];return St.cropAndResize(t,s,[0],n)}function Xg(e,t=1.5){let n=i1(e),r=s1(e),a=[t*r[0]/2,t*r[1]/2],s=[n[0]-a[0],n[1]-a[1]],i=[n[0]+a[0],n[1]+a[1]];return{startPoint:s,endPoint:i,landmarks:e.landmarks}}function Kg(e){let t=i1(e),n=s1(e),r=Math.max(...n)/2,a=[t[0]-r,t[1]-r],s=[t[0]+r,t[1]+r];return{startPoint:a,endPoint:s,landmarks:e.landmarks}}var Zg=[[1,0,0],[0,1,0],[0,0,1]];function Ore(e){return e-2*Math.PI*Math.floor((e+Math.PI)/(2*Math.PI))}function zre(e,t){let n=Math.PI/2-Math.atan2(-(t[1]-e[1]),t[0]-e[0]);return 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i={newBytes:t.newBytes,newTensors:t.newTensors,peakBytes:t.peakBytes,numKernelOps:t.kernels.length,timeKernelOps:r,slowestKernelOps:a,largestKernelOps:s};k6[e]=i,Ve("Human profiler",e,i)}var v6=class{constructor(e,t){this.enlarge=1.1,this.model=e,this.config=t}async estimateFaces(e,t){t&&(this.config=t);let n=[],r=St.resizeBilinear(e,[this.config.face.detector.inputSize,this.config.face.detector.inputSize]),a=r.toInt(),s,i;if(t.profile){let o=await Vo(()=>this.model.executeAsync(a));s=o.result[0].dataSync(),i=o.result[1].squeeze().arraySync(),o.result.forEach(l=>l.dispose()),Lc("faceboxes",o)}else{let[o,l,c]=await this.model.executeAsync(a);s=o.dataSync();let u=l.squeeze();i=u.arraySync(),o.dispose(),l.dispose(),u.dispose(),c.dispose()}a.dispose(),r.dispose();for(let o in i)if(s[o]&&s[o]>this.config.face.detector.minConfidence){let 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n=(t.body.modelType==="ResNet"?e.toFloat().add(nae):e.toFloat().div(127.5).sub(1)).expandDims(0),r=this.model.predict(n).map(s=>s.squeeze([0])),a=t.body.modelType==="ResNet"?aae(r):rae(r);return{heatmapScores:a.heatmap.sigmoid(),offsets:a.offsets,displacementFwd:a.displacementFwd,displacementBwd:a.displacementBwd}})}dispose(){this.model.dispose()}};function m2(e){return Math.floor(e/2)}var iae=class{constructor(e,t){this.priorityQueue=new Array(e),this.numberOfElements=-1,this.getElementValue=t}enqueue(e){this.priorityQueue[++this.numberOfElements]=e,this.swim(this.numberOfElements)}dequeue(){let e=this.priorityQueue[0];return this.exchange(0,this.numberOfElements--),this.sink(0),this.priorityQueue[this.numberOfElements+1]=null,e}empty(){return this.numberOfElements===-1}size(){return this.numberOfElements+1}all(){return this.priorityQueue.slice(0,this.numberOfElements+1)}max(){return 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r.heatmapScores.dispose(),r.offsets.dispose(),r.displacementFwd.dispose(),r.displacementBwd.dispose(),n.dispose(),a}dispose(){this.baseModel.dispose()}};async function f2(e){let t=await Jn(e.body.modelPath),n=new sae(t);return Ve(`load model: ${e.body.modelPath.match(/\/(.*)\./)[1]}`),new F6(n)}var V6={};Nr(V6,{HandPose:()=>U6,load:()=>x2});function w2(e){return[Math.abs(e.endPoint[0]-e.startPoint[0]),Math.abs(e.endPoint[1]-e.startPoint[1])]}function d1(e){return[e.startPoint[0]+(e.endPoint[0]-e.startPoint[0])/2,e.startPoint[1]+(e.endPoint[1]-e.startPoint[1])/2]}function Tae(e,t,n){let r=t.shape[1],a=t.shape[2],s=[[e.startPoint[1]/r,e.startPoint[0]/a,e.endPoint[1]/r,e.endPoint[0]/a]];return St.cropAndResize(t,s,[0],n)}function Eae(e,t){let n=[e.startPoint[0]*t[0],e.startPoint[1]*t[1]],r=[e.endPoint[0]*t[0],e.endPoint[1]*t[1]],a=e.palmLandmarks.map(s=>[s[0]*t[0],s[1]*t[1]]);return{startPoint:n,endPoint:r,palmLandmarks:a,confidence:e.confidence}}function _2(e,t=1.5){let n=d1(e),r=w2(e),a=[t*r[0]/2,t*r[1]/2],s=[n[0]-a[0],n[1]-a[1]],i=[n[0]+a[0],n[1]+a[1]];return{startPoint:s,endPoint:i,palmLandmarks:e.palmLandmarks}}function b2(e){let t=d1(e),n=w2(e),r=Math.max(...n)/2,a=[t[0]-r,t[1]-r],s=[t[0]+r,t[1]+r];return{startPoint:a,endPoint:s,palmLandmarks:e.palmLandmarks}}var Cae=class{constructor(e,t,n){this.model=e,this.anchors=n.map(r=>[r.x_center,r.y_center]),this.anchorsTensor=fr(this.anchors),this.inputSizeTensor=en([t,t]),this.doubleInputSizeTensor=en([t*2,t*2])}normalizeBoxes(e){return U(()=>{let t=Me(e,[0,0],[-1,2]),n=Me(e,[0,2],[-1,2]),r=oe(Ne(t,this.inputSizeTensor),this.anchorsTensor),a=Ne(n,this.doubleInputSizeTensor),s=L(we(r,a),this.inputSizeTensor),i=L(oe(r,a),this.inputSizeTensor);return td([s,i],1)})}normalizeLandmarks(e,t){return U(()=>{let n=oe(Ne(e.reshape([-1,7,2]),this.inputSizeTensor),this.anchors[t]);return L(n,this.inputSizeTensor)})}async getBoxes(e,t){let n=this.model.predict(e),r=n.squeeze();n.dispose();let a=U(()=>Qn(Me(r,[0,0],[-1,1])).squeeze()),s=a.dataSync(),i=Me(r,[0,1],[-1,4]),o=this.normalizeBoxes(i);i.dispose();let l=await St.nonMaxSuppressionAsync(o,s,t.hand.maxHands,t.hand.iouThreshold,t.hand.scoreThreshold),c=l.arraySync();a.dispose(),l.dispose();let u=[];for(let h of c)if(s[h]>=t.hand.minConfidence){let d=Me(o,[h,0],[1,-1]),p=Me(r,[h,5],[1,14]),f=U(()=>this.normalizeLandmarks(p,h).reshape([-1,2]));p.dispose(),u.push({box:d,palmLandmarks:f,confidence:s[h]})}return r.dispose(),o.dispose(),u}async estimateHandBounds(e,t){let n=e.shape[1],r=e.shape[2],a=U(()=>e.resizeBilinear([t.hand.inputSize,t.hand.inputSize]).div(127.5).sub(1)),s=await this.getBoxes(a,t);a.dispose();let i=[];if(!s||s.length===0)return i;for(let o of s){let l=o.box.dataSync(),c=l.slice(0,2),u=l.slice(2,4),h=o.palmLandmarks.arraySync();o.box.dispose(),o.palmLandmarks.dispose(),i.push(Eae({startPoint:c,endPoint:u,palmLandmarks:h,confidence:o.confidence},[r/t.hand.inputSize,n/t.hand.inputSize]))}return i}};function Rae(e){return e-2*Math.PI*Math.floor((e+Math.PI)/(2*Math.PI))}function Fae(e,t){let n=Math.PI/2-Math.atan2(-(t[1]-e[1]),t[0]-e[0]);return Rae(n)}var H6=(e,t)=>[[1,0,e],[0,1,t],[0,0,1]];function ki(e,t){let n=0;for(let r=0;rq6([...a,1],t)),r=this.calculateLandmarksBoundingBox(n);return _2(b2(r),Dae)}getBoxForHandLandmarks(e){let t=this.calculateLandmarksBoundingBox(e),n=_2(b2(t),X6);n.palmLandmarks=[];for(let r=0;r[s[0]*(d[0]-this.inputSize/2),s[1]*(d[1]-this.inputSize/2),s[2]*d[2]]),o=G6(n,[0,0]),l=i.map(d=>[...q6(d,o),d[2]]),c=$ae(r),u=[...d1(t),1],h=[ki(u,c[0]),ki(u,c[1])];return l.map(d=>[d[0]+h[0],d[1]+h[1],d[2]])}async estimateHands(e,t){let n=!1,r;(this.skipped===0||this.skipped>t.hand.skipFrames||!t.hand.landmarks||!t.videoOptimized)&&(r=await this.handDetector.estimateHandBounds(e,t),this.skipped=0),t.videoOptimized&&this.skipped++,r&&r.length>0&&(r.length!==this.detectedHands&&this.detectedHands!==t.hand.maxHands||!t.hand.landmarks)&&(this.detectedHands=0,this.storedBoxes=[...r],this.storedBoxes.length>0&&(n=!0));let a=[];for(let s=0;s=t.hand.minConfidence){let g=q(A,[-1,3]),b=g.arraySync();A.dispose(),g.dispose();let x=this.transformRawCoords(b,d,o,h),w=this.getBoxForHandLandmarks(x);this.storedBoxes[s]=w;let _={landmarks:x,confidence:y,box:{topLeft:w.startPoint,bottomRight:w.endPoint}};a.push(_)}else this.storedBoxes[s]=null;A.dispose()}else{let o=_2(b2(i),X6),l={confidence:i.confidence,box:{topLeft:o.startPoint,bottomRight:o.endPoint}};a.push(l)}}return this.storedBoxes=this.storedBoxes.filter(s=>s!==null),this.detectedHands=a.length,a}calculateLandmarksBoundingBox(e){let 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${e.hand.skeleton.modelPath.match(/\/(.*)\./)[1]}`),s}var Wae=e=>{if(!e)return[];let t=[];for(let n=0;nl.part==="leftWrist"),a=e[n].keypoints.find(l=>l.part==="rightWrist"),s=e[n].keypoints.find(l=>l.part==="nose");s&&r&&a&&r.position.yl.part==="leftShoulder"),o=e[n].keypoints.find(l=>l.part==="rightShoulder");i&&o&&t.push({body:n,gesture:`leaning ${i.position.y>o.position.y?"left":"right"}`})}return t},Bae=e=>{if(!e)return[];let t=[];for(let n=0;n0){let r=e[n].mesh[35][2]-e[n].mesh[263][2];Math.abs(r)<10?t.push({face:n,gesture:"facing camera"}):t.push({face:n,gesture:`facing ${r<0?"right":"left"}`}),Math.abs(e[n].mesh[374][1]-e[n].mesh[386][1])/Math.abs(e[n].mesh[443][1]-e[n].mesh[450][1])<.2&&t.push({face:n,gesture:"blink left eye"}),Math.abs(e[n].mesh[145][1]-e[n].mesh[159][1])/Math.abs(e[n].mesh[223][1]-e[n].mesh[230][1])<.2&&t.push({face:n,gesture:"blink right eye"});let a=Math.min(100,500*Math.abs(e[n].mesh[13][1]-e[n].mesh[14][1])/Math.abs(e[n].mesh[10][1]-e[n].mesh[152][1]));a>10&&t.push({face:n,gesture:`mouth ${Math.trunc(a)}% open`});let s=e[n].mesh[152][2];Math.abs(s)>10&&t.push({face:n,gesture:`head ${s<0?"up":"down"}`})}return t},Vae=e=>{if(!e)return[];let t=[];for(let n=0;n{if(!e)return[];let t=[];for(let n=0;n0){let a=r.reduce((i,o)=>i.position[2]i.position[1](c[d]=0,h))},a=function(o,l){let c=e.createShader(l);if(e.shaderSource(c,o),e.compileShader(c),!e.getShaderParameter(c,e.COMPILE_STATUS))throw new Error("Filter: GL compile failed",e.getShaderInfoLog(c));return c};this.uniform={},this.attribute={};let s=a(t,e.VERTEX_SHADER),i=a(n,e.FRAGMENT_SHADER);if(this.id=e.createProgram(),e.attachShader(this.id,s),e.attachShader(this.id,i),e.linkProgram(this.id),!e.getProgramParameter(this.id,e.LINK_STATUS))throw new Error("Filter: GL link failed",e.getProgramInfoLog(this.id));e.useProgram(this.id),r(t,"attribute",this.attribute);for(let o in 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T=m.createRenderbuffer();m.bindRenderbuffer(m.RENDERBUFFER,T);let E=m.createTexture();return m.bindTexture(m.TEXTURE_2D,E),m.texImage2D(m.TEXTURE_2D,0,m.RGBA,w,_,0,m.RGBA,m.UNSIGNED_BYTE,null),m.texParameteri(m.TEXTURE_2D,m.TEXTURE_MAG_FILTER,m.LINEAR),m.texParameteri(m.TEXTURE_2D,m.TEXTURE_MIN_FILTER,m.LINEAR),m.texParameteri(m.TEXTURE_2D,m.TEXTURE_WRAP_S,m.CLAMP_TO_EDGE),m.texParameteri(m.TEXTURE_2D,m.TEXTURE_WRAP_T,m.CLAMP_TO_EDGE),m.framebufferTexture2D(m.FRAMEBUFFER,m.COLOR_ATTACHMENT0,m.TEXTURE_2D,E,0),m.bindTexture(m.TEXTURE_2D,null),m.bindFramebuffer(m.FRAMEBUFFER,null),{fbo:N,texture:E}},g=function(w){return s[w]=s[w]||y(o,l),s[w]},b=function(w=null){var _,N;let T=null,E=null,M=!1;t===0?T=n:T=(_=g(a))==null?void 0:_.texture,t++,r&&!(w&f.INTERMEDIATE)?(E=null,M=t%2==0):(a=(a+1)%2,E=(N=g(a))==null?void 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K7(e),t||(t={}),this.hasHeader=t.hasHeader!==!1,this.fullColumnNames=t.columnNames,this.columnConfigs=t.columnConfigs,this.configuredColumnsOnly=t.configuredColumnsOnly,t.delimWhitespace?(k.assert(t.delimiter==null,()=>"Delimiter should not be provided when delimWhitespace is true."),this.delimWhitespace=!0,this.delimiter=" "):this.delimiter=t.delimiter?t.delimiter:","}async columnNames(){return this.columnNamesValidated||await this.setColumnNames(),this.configuredColumnsOnly?Object.keys(this.columnConfigs):this.fullColumnNames}async setColumnNames(){let e=await this.maybeReadHeaderLine();if(!this.fullColumnNames&&!e)throw new Error("Column names must be provided if there is no header line.");this.fullColumnNames&&e&&k.assert(e.length===this.fullColumnNames.length,()=>"The length of provided columnNames ("+this.fullColumnNames.length.toString()+") does not match the length of the header line read from file ("+e.length.toString()+")."),this.fullColumnNames||(this.fullColumnNames=e);let t=this.fullColumnNames.reduce((r,a)=>(r[a]=r[a]+1||1,r),{}),n=Object.keys(t).filter(r=>t[r]>1);if(k.assert(n.length===0,()=>"Duplicate column names found: "+n.toString()),this.columnConfigs){for(let r of Object.keys(this.columnConfigs))if(this.fullColumnNames.indexOf(r)===-1)throw new Error('The key "'+r+'" provided in columnConfigs does not match any of the column names ('+this.fullColumnNames.toString()+").")}this.columnNamesValidated=!0}async maybeReadHeaderLine(){if(this.hasHeader){let e=await(await this.base.iterator()).next();if(e.done)throw new Error("No data was found for CSV parsing.");let t=e.value;return this.parseRow(t,!1)}else return null}async iterator(){this.columnNamesValidated||await this.setColumnNames();let e=await this.base.iterator();return this.hasHeader&&(e=e.skip(1)),e.map(t=>this.makeDataElement(t))}makeDataElement(e){let t=this.parseRow(e),n={},r={};for(let a=0;a14||!Number.isInteger(t))throw new Error(`Invalid fftSize: it must be a power of 2 between 2 to 4 and 2 to 14, but got ${this.fftSize}`);if(this.numFrames=e.numFramesPerSpectrogram||43,this.sampleRateHz=e.sampleRateHz,this.columnTruncateLength=e.columnTruncateLength||this.fftSize,this.audioTrackConstraints=e.audioTrackConstraints,this.smoothingTimeConstant=e.smoothingTimeConstant||0,this.includeSpectrogram=e.includeSpectrogram!==!1,this.includeWaveform=e.includeWaveform===!0,!this.includeSpectrogram&&!this.includeWaveform)throw new Error("Both includeSpectrogram and includeWaveform are false. At least one type of data should be returned.")}summary(){return"microphone"}static async create(e={}){if(Q().get("IS_NODE"))throw new Error("microphone API is only supported in browser environment.");let t=new u6(e);return await t.start(),t}async start(){try{this.stream=await navigator.mediaDevices.getUserMedia({audio:this.audioTrackConstraints==null?!0:this.audioTrackConstraints,video:!1})}catch(n){throw new Error(`Error thrown while initializing video stream: ${n.message}`)}if(!this.stream)throw new Error("Could not obtain audio from microphone.");let e=window.AudioContext||window.webkitAudioContext;if(this.audioContext=new e,!this.sampleRateHz)this.sampleRateHz=this.audioContext.sampleRate;else if(this.audioContext.sampleRate!==this.sampleRateHz)throw new Error(`Mismatch in sampling rate: Expected: ${this.sampleRateHz}; Actual: ${this.audioContext.sampleRate}`);let t=this.audioContext.createMediaStreamSource(this.stream);this.analyser=this.audioContext.createAnalyser(),this.analyser.fftSize=this.fftSize*2,this.analyser.smoothingTimeConstant=this.smoothingTimeConstant,t.connect(this.analyser),this.freqData=new Float32Array(this.fftSize),this.timeData=new Float32Array(this.fftSize)}async next(){if(this.isClosed)return{value:null,done:!0};let e,t,n=await this.getAudioData();if(this.includeSpectrogram){let r=this.flattenQueue(n.freqDataQueue);e=this.getTensorFromAudioDataArray(r,[this.numFrames,this.columnTruncateLength,1])}if(this.includeWaveform){let r=this.flattenQueue(n.timeDataQueue);t=this.getTensorFromAudioDataArray(r,[this.numFrames*this.fftSize,1])}return{value:{spectrogram:e,waveform:t},done:!1}}async capture(){return(await this.next()).value}async getAudioData(){let e=[],t=[],n=0;return new Promise(r=>{let a=setInterval(()=>{this.includeSpectrogram&&(this.analyser.getFloatFrequencyData(this.freqData),this.freqData[0]===-Infinity&&r({freqDataQueue:e,timeDataQueue:t}),e.push(this.freqData.slice(0,this.columnTruncateLength))),this.includeWaveform&&(this.analyser.getFloatTimeDomainData(this.timeData),t.push(this.timeData.slice())),++n===this.numFrames&&(clearInterval(a),r({freqDataQueue:e,timeDataQueue:t}))},this.fftSize/this.sampleRateHz*1e3)})}stop(){this.isClosed||(this.isClosed=!0,this.analyser.disconnect(),this.audioContext.close(),this.stream!=null&&this.stream.getTracks().length>0&&this.stream.getTracks()[0].stop())}toArray(){throw new Error("Can not convert infinite audio stream to array.")}getSampleRate(){return this.sampleRateHz}flattenQueue(e){let t=e[0].length,n=new Float32Array(e.length*t);return e.forEach((r,a)=>n.set(r,a*t)),n}getTensorFromAudioDataArray(e,t){let n=new Float32Array(k.sizeFromShape(t));return n.set(e,n.length-e.length),pr(n,t)}},c6=class extends qt{constructor(e,t){super();if(this.webcamVideoElement=e,this.webcamConfig=t,this.isClosed=!0,this.resize=!1,this.needToResize())if(this.resize=!0,this.cropSize=[this.webcamConfig.resizeHeight,this.webcamConfig.resizeWidth],this.cropBoxInd=en([0],"int32"),this.webcamConfig.centerCrop){let n=this.webcamConfig.resizeWidth*1/this.webcamVideoElement.width,r=this.webcamConfig.resizeHeight*1/this.webcamVideoElement.height,a=(1-n)/2,s=(1-r)/2,i=a+n,o=r+s;this.cropBox=fr([s,a,o,i],[1,4])}else this.cropBox=fr([0,0,1,1],[1,4])}summary(){return"webcam"}static async create(e,t={}){if(Q().get("IS_NODE"))throw new Error("tf.data.webcam is only supported in browser environment.");if(!e){if(e=document.createElement("video"),!t.resizeWidth||!t.resizeHeight)throw new Error("Please provide webcam video element, or resizeWidth and resizeHeight to create a hidden video element.");e.width=t.resizeWidth,e.height=t.resizeHeight}let n=new c6(e,t);return await n.start(),n}async start(){this.webcamConfig.facingMode&&k.assert(this.webcamConfig.facingMode==="user"||this.webcamConfig.facingMode==="environment",()=>`Invalid webcam facing mode: ${this.webcamConfig.facingMode}. 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r=0;r({startEndTensor:e,startPoint:Me(e,[0,0],[-1,2]),endPoint:Me(e,[0,2],[-1,2])});function Mre(e,t,n){let r=Me(e,[0,1],[-1,2]),a=oe(r,t),s=Me(e,[0,3],[-1,2]),i=Ne(s,n),o=Ne(a,n),l=Ne(i,2),c=we(o,l),u=oe(o,l),h=L(c,n),d=L(u,n);return td([h,d],1)}var $re=class{constructor(e,t){this.blazeFaceModel=e,this.width=t.face.detector.inputSize,this.height=t.face.detector.inputSize,this.anchorsData=Rre(t.face.detector.inputSize),this.anchors=fr(this.anchorsData),this.inputSize=en([this.width,this.height]),this.config=t,this.scaleFaces=.8}async getBoundingBoxes(e){if(!e||e.isDisposedInternal||e.shape.length!==4||e.shape[1]<1||e.shape[2]<1)return null;let[t,n,r]=U(()=>{let c=e.resizeBilinear([this.width,this.height]),u=we(c.div(127.5),1),h=this.blazeFaceModel.predict(u),d;if(Array.isArray(h)){let A=h.sort((b,x)=>b.size-x.size),y=ct([A[0],A[2]],2),g=ct([A[1],A[3]],2);d=ct([g,y],1).squeeze(0)}else d=h.squeeze();let p=Mre(d,this.anchors,this.inputSize),f=Me(d,[0,0],[-1,1]),m=Qn(f).squeeze();return[d,p,m]}),a=await St.nonMaxSuppressionAsync(n,r,this.config.face.detector.maxFaces,this.config.face.detector.iouThreshold,this.config.face.detector.scoreThreshold),s=a.arraySync();a.dispose();let i=s.map(c=>Me(n,[c,0],[1,-1])).map(c=>{let u=c.arraySync();return c.dispose(),u}),o=r.dataSync(),l=[];for(let c=0;cthis.config.face.detector.minConfidence){let d=Fre(i[c]),p=this.anchorsData[u],f=U(()=>Me(t,[u,m6-1],[1,-1]).squeeze().reshape([m6,-1]));l.push({box:d,landmarks:f,anchor:p,confidence:h})}}return t.dispose(),n.dispose(),r.dispose(),t.dispose(),{boxes:l,scaleFactor:[e.shape[2]/this.width,e.shape[1]/this.height]}}};async function U4(e){let t=await Jn(e.face.detector.modelPath,{fromTFHub:e.face.detector.modelPath.includes("tfhub.dev")}),n=new $re(t,e);return Ve(`load model: ${e.face.detector.modelPath.match(/\/(.*)\./)[1]}`),n}function Dre(e,t){let n=[e.startPoint[0]*t[0],e.startPoint[1]*t[1]],r=[e.endPoint[0]*t[0],e.endPoint[1]*t[1]];return{startPoint:n,endPoint:r}}function s1(e){return[Math.abs(e.endPoint[0]-e.startPoint[0]),Math.abs(e.endPoint[1]-e.startPoint[1])]}function i1(e){return[e.startPoint[0]+(e.endPoint[0]-e.startPoint[0])/2,e.startPoint[1]+(e.endPoint[1]-e.startPoint[1])/2]}function A6(e,t,n){let r=t.shape[1],a=t.shape[2],s=[[e.startPoint[1]/r,e.startPoint[0]/a,e.endPoint[1]/r,e.endPoint[0]/a]];return St.cropAndResize(t,s,[0],n)}function Xg(e,t=1.5){let n=i1(e),r=s1(e),a=[t*r[0]/2,t*r[1]/2],s=[n[0]-a[0],n[1]-a[1]],i=[n[0]+a[0],n[1]+a[1]];return{startPoint:s,endPoint:i,landmarks:e.landmarks}}function Kg(e){let t=i1(e),n=s1(e),r=Math.max(...n)/2,a=[t[0]-r,t[1]-r],s=[t[0]+r,t[1]+r];return{startPoint:a,endPoint:s,landmarks:e.landmarks}}var Zg=[[1,0,0],[0,1,0],[0,0,1]];function Ore(e){return e-2*Math.PI*Math.floor((e+Math.PI)/(2*Math.PI))}function zre(e,t){let n=Math.PI/2-Math.atan2(-(t[1]-e[1]),t[0]-e[0]);return 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r.boxes)this.storedBoxes.push({startPoint:s.box.startPoint.dataSync(),endPoint:s.box.endPoint.dataSync(),landmarks:s.landmarks,confidence:s.confidence});this.storedBoxes.length>0&&(n=!0)}if(n){if(!r||!r.boxes||r.boxes.length===0)return this.storedBoxes=[],this.detectedFaces=0,null;for(let s=0;s{s.box.startPoint.dispose(),s.box.endPoint.dispose(),s.landmarks.dispose()});let a=U(()=>this.storedBoxes.map((s,i)=>{let o,l=0,c;if(t.face.detector.rotation){let[b,x]=s.landmarks.length>=Hre?Gre:Kre;l=zre(s.landmarks[b],s.landmarks[x]);let w=i1({startPoint:s.startPoint,endPoint:s.endPoint}),_=[w[0]/e.shape[2],w[1]/e.shape[1]],N=St.rotateWithOffset(e,l,0,_);c=x6(-l,w),o=A6({startPoint:s.startPoint,endPoint:s.endPoint},N,[this.meshHeight,this.meshWidth]).div(255)}else{c=Zg;let b=e.clone();o=A6({startPoint:s.startPoint,endPoint:s.endPoint},b,[this.meshHeight,this.meshWidth]).div(255)}if(!t.face.mesh.enabled)return{coords:null,box:s,faceConfidence:null,confidence:s.confidence,image:o};let[,u,h]=this.meshDetector.predict(o),d=u.dataSync()[0];if(ds!==null),this.detectedFaces=a.length,a}calculateLandmarksBoundingBox(e){let t=e.map(s=>s[0]),n=e.map(s=>s[1]),r=[Math.min(...t),Math.min(...n)],a=[Math.max(...t),Math.max(...n)];return{startPoint:r,endPoint:a,landmarks:e}}},_6=mh(G4()),b6={};Nr(b6,{FaceBoxes:()=>v6,load:()=>Qre});var k6={};function Lc(e,t){if(!t||!t.kernels)return;let n=5,r=t.kernels.filter(o=>o.kernelTimeMs>0).reduce((o,l)=>o+=l.kernelTimeMs,0),a=t.kernels.map((o,l)=>(o.id=l,o)).filter(o=>o.kernelTimeMs>0).sort((o,l)=>l.kernelTimeMs-o.kernelTimeMs),s=t.kernels.map((o,l)=>(o.id=l,o)).filter(o=>o.totalBytesSnapshot>0).sort((o,l)=>l.totalBytesSnapshot-o.totalBytesSnapshot);a.length>n&&(a.length=n),s.length>n&&(s.length=n);let i={newBytes:t.newBytes,newTensors:t.newTensors,peakBytes:t.peakBytes,numKernelOps:t.kernels.length,timeKernelOps:r,slowestKernelOps:a,largestKernelOps:s};k6[e]=i,Ve("Human profiler",e,i)}var v6=class{constructor(e,t){this.enlarge=1.1,this.model=e,this.config=t}async estimateFaces(e,t){t&&(this.config=t);let n=[],r=St.resizeBilinear(e,[this.config.face.detector.inputSize,this.config.face.detector.inputSize]),a=r.toInt(),s,i;if(t.profile){let o=await Vo(()=>this.model.executeAsync(a));s=o.result[0].dataSync(),i=o.result[1].squeeze().arraySync(),o.result.forEach(l=>l.dispose()),Lc("faceboxes",o)}else{let[o,l,c]=await this.model.executeAsync(a);s=o.dataSync();let u=l.squeeze();i=u.arraySync(),o.dispose(),l.dispose(),u.dispose(),c.dispose()}a.dispose(),r.dispose();for(let o in i)if(s[o]&&s[o]>this.config.face.detector.minConfidence){let l=[i[o][0]/this.enlarge,i[o][1]/this.enlarge,i[o][2]*this.enlarge,i[o][3]*this.enlarge],c=[l[1],l[0],l[3]-l[1],l[2]-l[0]],u=[parseInt((c[0]*e.shape[2]).toString()),parseInt((c[1]*e.shape[1]).toString()),parseInt((c[2]*e.shape[2]).toString()),parseInt((c[3]*e.shape[1]).toString())],h=St.cropAndResize(e,[l],[0],[this.config.face.detector.inputSize,this.config.face.detector.inputSize]),d=h.div([255]);h.dispose(),n.push({confidence:s[o],box:u,boxRaw:this.config.face.mesh.returnRawData?c:null,image:d})}return n}};async function Qre(e){let t=await Jn(e.face.detector.modelPath);Ve(`load model: ${e.face.detector.modelPath.match(/\/(.*)\./)[1]}`);let n=new v6(t,e);return e.face.mesh.enabled&&Ve(`load model: ${e.face.mesh.modelPath.match(/\/(.*)\./)[1]}`),e.face.iris.enabled&&Ve(`load model: ${e.face.iris.modelPath.match(/\/(.*)\./)[1]}`),n}var I6={};Nr(I6,{load:()=>r2,predict:()=>a2});var $l,l1={age:0},u1=Number.MAX_SAFE_INTEGER;async function r2(e){return $l||($l=await 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r=St.resizeBilinear(e,[t.face.gender.inputSize,t.face.gender.inputSize],!1),a;l2?a=U(()=>{let[o,l,c]=sn(r,3,3),u=L(o,u2[0]),h=L(l,u2[1]),d=L(c,u2[2]);return Qh([u,h,d]).sub(.5).mul(2)}):a=L(r,[255]),Fe(r);let s,i={gender:"",confidence:0};if(!t.profile)t.face.gender.enabled&&(s=await vi.predict(a));else{let o=t.face.gender.enabled?await Vo(()=>vi.predict(a)):{};s=o.result.clone(),o.result.dispose(),Lc("gender",o)}if(a.dispose(),s){let o=s.dataSync();if(l2){let l=Math.trunc(100*Math.abs(o[0]-o[1]))/100;l>t.face.gender.minConfidence&&(i.gender=o[0]>o[1]?"female":"male",i.confidence=l)}else{let l=Math.trunc(200*Math.abs(o[0]-.5))/100;l>t.face.gender.minConfidence&&(i.gender=o[0]<=.5?"female":"male",i.confidence=Math.min(.99,l))}}s.dispose(),o2=i,n(i)})):null}var S6={};Nr(S6,{load:()=>c2,predict:()=>h2});var eae=["angry","disgust","fear","happy","sad","surprise","neutral"],Dl,d2=[],h1=Number.MAX_SAFE_INTEGER,p2=[.2989,.587,.114],T6=1;async function c2(e){return Dl||(Dl=await 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sae=class{constructor(e){this.model=e}predict(e,t){return U(()=>{let n=(t.body.modelType==="ResNet"?e.toFloat().add(nae):e.toFloat().div(127.5).sub(1)).expandDims(0),r=this.model.predict(n).map(s=>s.squeeze([0])),a=t.body.modelType==="ResNet"?aae(r):rae(r);return{heatmapScores:a.heatmap.sigmoid(),offsets:a.offsets,displacementFwd:a.displacementFwd,displacementBwd:a.displacementBwd}})}dispose(){this.model.dispose()}};function m2(e){return Math.floor(e/2)}var iae=class{constructor(e,t){this.priorityQueue=new Array(e),this.numberOfElements=-1,this.getElementValue=t}enqueue(e){this.priorityQueue[++this.numberOfElements]=e,this.swim(this.numberOfElements)}dequeue(){let e=this.priorityQueue[0];return this.exchange(0,this.numberOfElements--),this.sink(0),this.priorityQueue[this.numberOfElements+1]=null,e}empty(){return this.numberOfElements===-1}size(){return this.numberOfElements+1}all(){return this.priorityQueue.slice(0,this.numberOfElements+1)}max(){return 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kae(e,t,n){return{score:e.score,keypoints:e.keypoints.map(({score:r,part:a,position:s})=>({score:r,part:a,position:{x:s.x*n,y:s.y*t}}))}}function Iae(e,[t,n]){let r=e.squeeze(0),a=r.resizeBilinear([t,n]);return r.dispose(),a}function B6(e,[t,n],[r,a]){return e.map(s=>kae(s,t/r,n/a))}async function Nae(e,t,n){return new Promise(async r=>{let a=e.shape[1],s=e.shape[2],i=await vae([t.heatmapScores,t.offsets,t.displacementFwd,t.displacementBwd]),o=i[0],l=i[1],c=i[2],u=i[3],h=await bae(o,l,c,u,n),d=B6(h,[a,s],[n.body.inputSize,n.body.inputSize]);r(d)})}async function Sae(e,t,n){return new Promise(async r=>{let a=e.shape[1],s=e.shape[2],i=[await xae(t.heatmapScores,t.offsets,n)],o=B6(i,[a,s],[n.body.inputSize,n.body.inputSize]);r(o)})}var F6=class{constructor(e){this.baseModel=e}async estimatePoses(e,t){let n=Iae(e,[t.body.inputSize,t.body.inputSize]),r=this.baseModel.predict(n,t),a=t.body.maxDetections<2?await Sae(e,r,t):await Nae(e,r,t);return r.heatmapScores.dispose(),r.offsets.dispose(),r.displacementFwd.dispose(),r.displacementBwd.dispose(),n.dispose(),a}dispose(){this.baseModel.dispose()}};async function f2(e){let t=await Jn(e.body.modelPath),n=new sae(t);return Ve(`load model: ${e.body.modelPath.match(/\/(.*)\./)[1]}`),new F6(n)}var V6={};Nr(V6,{HandPose:()=>U6,load:()=>x2});function w2(e){return[Math.abs(e.endPoint[0]-e.startPoint[0]),Math.abs(e.endPoint[1]-e.startPoint[1])]}function d1(e){return[e.startPoint[0]+(e.endPoint[0]-e.startPoint[0])/2,e.startPoint[1]+(e.endPoint[1]-e.startPoint[1])/2]}function Tae(e,t,n){let r=t.shape[1],a=t.shape[2],s=[[e.startPoint[1]/r,e.startPoint[0]/a,e.endPoint[1]/r,e.endPoint[0]/a]];return St.cropAndResize(t,s,[0],n)}function Eae(e,t){let n=[e.startPoint[0]*t[0],e.startPoint[1]*t[1]],r=[e.endPoint[0]*t[0],e.endPoint[1]*t[1]],a=e.palmLandmarks.map(s=>[s[0]*t[0],s[1]*t[1]]);return{startPoint:n,endPoint:r,palmLandmarks:a,confidence:e.confidence}}function _2(e,t=1.5){let n=d1(e),r=w2(e),a=[t*r[0]/2,t*r[1]/2],s=[n[0]-a[0],n[1]-a[1]],i=[n[0]+a[0],n[1]+a[1]];return{startPoint:s,endPoint:i,palmLandmarks:e.palmLandmarks}}function b2(e){let t=d1(e),n=w2(e),r=Math.max(...n)/2,a=[t[0]-r,t[1]-r],s=[t[0]+r,t[1]+r];return{startPoint:a,endPoint:s,palmLandmarks:e.palmLandmarks}}var Cae=class{constructor(e,t,n){this.model=e,this.anchors=n.map(r=>[r.x_center,r.y_center]),this.anchorsTensor=fr(this.anchors),this.inputSizeTensor=en([t,t]),this.doubleInputSizeTensor=en([t*2,t*2])}normalizeBoxes(e){return U(()=>{let t=Me(e,[0,0],[-1,2]),n=Me(e,[0,2],[-1,2]),r=oe(Ne(t,this.inputSizeTensor),this.anchorsTensor),a=Ne(n,this.doubleInputSizeTensor),s=L(we(r,a),this.inputSizeTensor),i=L(oe(r,a),this.inputSizeTensor);return td([s,i],1)})}normalizeLandmarks(e,t){return U(()=>{let n=oe(Ne(e.reshape([-1,7,2]),this.inputSizeTensor),this.anchors[t]);return L(n,this.inputSizeTensor)})}async getBoxes(e,t){let n=this.model.predict(e),r=n.squeeze();n.dispose();let a=U(()=>Qn(Me(r,[0,0],[-1,1])).squeeze()),s=a.dataSync(),i=Me(r,[0,1],[-1,4]),o=this.normalizeBoxes(i);i.dispose();let l=await St.nonMaxSuppressionAsync(o,s,t.hand.maxHands,t.hand.iouThreshold,t.hand.scoreThreshold),c=l.arraySync();a.dispose(),l.dispose();let u=[];for(let h of c)if(s[h]>=t.hand.minConfidence){let d=Me(o,[h,0],[1,-1]),p=Me(r,[h,5],[1,14]),f=U(()=>this.normalizeLandmarks(p,h).reshape([-1,2]));p.dispose(),u.push({box:d,palmLandmarks:f,confidence:s[h]})}return r.dispose(),o.dispose(),u}async estimateHandBounds(e,t){let n=e.shape[1],r=e.shape[2],a=U(()=>e.resizeBilinear([t.hand.inputSize,t.hand.inputSize]).div(127.5).sub(1)),s=await this.getBoxes(a,t);a.dispose();let i=[];if(!s||s.length===0)return i;for(let o of s){let l=o.box.dataSync(),c=l.slice(0,2),u=l.slice(2,4),h=o.palmLandmarks.arraySync();o.box.dispose(),o.palmLandmarks.dispose(),i.push(Eae({startPoint:c,endPoint:u,palmLandmarks:h,confidence:o.confidence},[r/t.hand.inputSize,n/t.hand.inputSize]))}return i}};function Rae(e){return e-2*Math.PI*Math.floor((e+Math.PI)/(2*Math.PI))}function Fae(e,t){let n=Math.PI/2-Math.atan2(-(t[1]-e[1]),t[0]-e[0]);return Rae(n)}var H6=(e,t)=>[[1,0,e],[0,1,t],[0,0,1]];function ki(e,t){let n=0;for(let r=0;rq6([...a,1],t)),r=this.calculateLandmarksBoundingBox(n);return _2(b2(r),Dae)}getBoxForHandLandmarks(e){let t=this.calculateLandmarksBoundingBox(e),n=_2(b2(t),X6);n.palmLandmarks=[];for(let r=0;r[s[0]*(d[0]-this.inputSize/2),s[1]*(d[1]-this.inputSize/2),s[2]*d[2]]),o=G6(n,[0,0]),l=i.map(d=>[...q6(d,o),d[2]]),c=$ae(r),u=[...d1(t),1],h=[ki(u,c[0]),ki(u,c[1])];return l.map(d=>[d[0]+h[0],d[1]+h[1],d[2]])}async estimateHands(e,t){let n=!1,r;(this.skipped===0||this.skipped>t.hand.skipFrames||!t.hand.landmarks||!t.videoOptimized)&&(r=await this.handDetector.estimateHandBounds(e,t),this.skipped=0),t.videoOptimized&&this.skipped++,r&&r.length>0&&(r.length!==this.detectedHands&&this.detectedHands!==t.hand.maxHands||!t.hand.landmarks)&&(this.detectedHands=0,this.storedBoxes=[...r],this.storedBoxes.length>0&&(n=!0));let a=[];for(let s=0;s=t.hand.minConfidence){let g=q(A,[-1,3]),b=g.arraySync();A.dispose(),g.dispose();let x=this.transformRawCoords(b,d,o,h),w=this.getBoxForHandLandmarks(x);this.storedBoxes[s]=w;let _={landmarks:x,confidence:y,box:{topLeft:w.startPoint,bottomRight:w.endPoint}};a.push(_)}else this.storedBoxes[s]=null;A.dispose()}else{let o=_2(b2(i),X6),l={confidence:i.confidence,box:{topLeft:o.startPoint,bottomRight:o.endPoint}};a.push(l)}}return this.storedBoxes=this.storedBoxes.filter(s=>s!==null),this.detectedHands=a.length,a}calculateLandmarksBoundingBox(e){let 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${e.hand.skeleton.modelPath.match(/\/(.*)\./)[1]}`),s}var Wae=e=>{if(!e)return[];let t=[];for(let n=0;nl.part==="leftWrist"),a=e[n].keypoints.find(l=>l.part==="rightWrist"),s=e[n].keypoints.find(l=>l.part==="nose");s&&r&&a&&r.position.yl.part==="leftShoulder"),o=e[n].keypoints.find(l=>l.part==="rightShoulder");i&&o&&t.push({body:n,gesture:`leaning ${i.position.y>o.position.y?"left":"right"}`})}return t},Bae=e=>{if(!e)return[];let t=[];for(let n=0;n0){let r=e[n].mesh[35][2]-e[n].mesh[263][2];Math.abs(r)<10?t.push({face:n,gesture:"facing camera"}):t.push({face:n,gesture:`facing ${r<0?"right":"left"}`}),Math.abs(e[n].mesh[374][1]-e[n].mesh[386][1])/Math.abs(e[n].mesh[443][1]-e[n].mesh[450][1])<.2&&t.push({face:n,gesture:"blink left eye"}),Math.abs(e[n].mesh[145][1]-e[n].mesh[159][1])/Math.abs(e[n].mesh[223][1]-e[n].mesh[230][1])<.2&&t.push({face:n,gesture:"blink right eye"});let a=Math.min(100,500*Math.abs(e[n].mesh[13][1]-e[n].mesh[14][1])/Math.abs(e[n].mesh[10][1]-e[n].mesh[152][1]));a>10&&t.push({face:n,gesture:`mouth ${Math.trunc(a)}% open`});let s=e[n].mesh[152][2];Math.abs(s)>10&&t.push({face:n,gesture:`head ${s<0?"up":"down"}`})}return t},Vae=e=>{if(!e)return[];let t=[];for(let n=0;n{if(!e)return[];let t=[];for(let n=0;n0){let a=r.reduce((i,o)=>i.position[2]i.position[1](c[d]=0,h))},a=function(o,l){let c=e.createShader(l);if(e.shaderSource(c,o),e.compileShader(c),!e.getShaderParameter(c,e.COMPILE_STATUS))throw new Error("Filter: GL compile failed",e.getShaderInfoLog(c));return c};this.uniform={},this.attribute={};let s=a(t,e.VERTEX_SHADER),i=a(n,e.FRAGMENT_SHADER);if(this.id=e.createProgram(),e.attachShader(this.id,s),e.attachShader(this.id,i),e.linkProgram(this.id),!e.getProgramParameter(this.id,e.LINK_STATUS))throw new Error("Filter: GL link failed",e.getProgramInfoLog(this.id));e.useProgram(this.id),r(t,"attribute",this.attribute);for(let o in 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Embedding:"),this.config.async?h=this.config.face.embedding.enabled?C6(f.image,this.config):{}:(this.state="run:embedding",o=ft(),h=this.config.face.embedding.enabled?await C6(f.image,this.config):{},this.perf.embedding=Math.trunc(ft()-o)),this.analyze("End Emotion:"),this.config.async&&([l,c,u,h]=await Promise.all([l,c,u,h])),this.analyze("Finish Face:"),!this.config.face.iris.enabled&&((n=f==null?void 0:f.annotations)==null?void 0:n.leftEyeIris)&&((r=f==null?void 0:f.annotations)==null?void 0:r.rightEyeIris)&&(delete f.annotations.leftEyeIris,delete f.annotations.rightEyeIris);let m=((a=f.annotations)==null?void 0:a.leftEyeIris)&&((s=f.annotations)==null?void 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this.warmupBitmap():typeof Image!="undefined"?r=await this.warmupCanvas():r=await this.warmupNode(),this.config.videoOptimized=n;let a=ft();return Ve("Warmup",this.config.warmup,Math.round(a-t),"ms",r),r}};async function Kae(e,t,n){if(!e)return;let r=t.getContext("2d");r.font=n.baseFont,r.fillStyle=n.baseLabel;let a=1;for(let s=0;s1&&o[1].length>0){let l=i[1]>0?`#${i[1]}`:"",c=`${i[0]} ${l}: ${o[1]}`;r.fillStyle="black",r.fillText(c,8,2+a*n.baseLineHeight),r.fillStyle=n.baseLabel,r.fillText(c,6,0+a*n.baseLineHeight),a+=1}}}async function Zae(e,t,n,r){if(!e)return;let a=t.getContext("2d");for(let s of e){a.font=n.baseFont,a.strokeStyle=n.baseColor,a.fillStyle=n.baseColor,a.lineWidth=n.baseLineWidth,a.beginPath(),n.drawBoxes&&a.rect(s.box[0],s.box[1],s.box[2],s.box[3]);let i=[];if(s.genderConfidence&&i.push(`${s.gender||""} ${Math.trunc(100*s.genderConfidence)}% confident`),s.age&&i.push(`age: ${s.age||""}`),s.iris&&i.push(`iris distance: ${s.iris}`),s.emotion&&s.emotion.length>0){let o=s.emotion.map(l=>`${Math.trunc(100*l.score)}% ${l.emotion}`);i.push(o.join(" "))}i.length===0&&i.push("face"),a.fillStyle=n.baseLabel;for(let o=0;os.mesh[u]),c=new Path2D;c.moveTo(l[0][0],l[0][1]);for(let u of l)c.lineTo(u[0],u[1]);c.closePath(),a.strokeStyle=n.useDepth?`rgba(${127.5+2*l[0][2]}, ${127.5-2*l[0][2]}, 255, 0.3)`:n.baseColor,a.stroke(c),n.fillPolygons&&(a.fillStyle=n.useDepth?`rgba(${127.5+2*l[0][2]}, ${127.5-2*l[0][2]}, 255, 0.3)`:n.baseColor,a.fill(c))}if(s.annotations&&s.annotations.leftEyeIris){a.strokeStyle=n.useDepth?"rgba(255, 200, 255, 0.3)":n.baseColor,a.beginPath();let o=Math.abs(s.annotations.leftEyeIris[3][0]-s.annotations.leftEyeIris[1][0])/2,l=Math.abs(s.annotations.leftEyeIris[4][1]-s.annotations.leftEyeIris[2][1])/2;a.ellipse(s.annotations.leftEyeIris[0][0],s.annotations.leftEyeIris[0][1],o,l,0,0,2*Math.PI),a.stroke(),n.fillPolygons&&(a.fillStyle=n.useDepth?"rgba(255, 255, 200, 0.3)":n.baseColor,a.fill())}if(s.annotations&&s.annotations.rightEyeIris){a.strokeStyle=n.useDepth?"rgba(255, 200, 255, 0.3)":n.baseColor,a.beginPath();let o=Math.abs(s.annotations.rightEyeIris[3][0]-s.annotations.rightEyeIris[1][0])/2,l=Math.abs(s.annotations.rightEyeIris[4][1]-s.annotations.rightEyeIris[2][1])/2;a.ellipse(s.annotations.rightEyeIris[0][0],s.annotations.rightEyeIris[0][1],o,l,0,0,2*Math.PI),a.stroke(),n.fillPolygons&&(a.fillStyle=n.useDepth?"rgba(255, 255, 200, 0.3)":n.baseColor,a.fill())}}}}}var Va=[];async function Jae(e,t,n){if(!e)return;let r=t.getContext("2d");r.lineJoin="round";for(let a=0;al.part==="leftShoulder"),i&&(s.moveTo(i.position.x,i.position.y),o=e[a].keypoints.find(l=>l.part==="rightShoulder"),o&&s.lineTo(o.position.x,o.position.y),o=e[a].keypoints.find(l=>l.part==="rightHip"),o&&s.lineTo(o.position.x,o.position.y),o=e[a].keypoints.find(l=>l.part==="leftHip"),o&&s.lineTo(o.position.x,o.position.y),o=e[a].keypoints.find(l=>l.part==="leftShoulder"),o&&s.lineTo(o.position.x,o.position.y)),i=e[a].keypoints.find(l=>l.part==="leftHip"),i&&(s.moveTo(i.position.x,i.position.y),o=e[a].keypoints.find(l=>l.part==="leftKnee"),o&&s.lineTo(o.position.x,o.position.y),o=e[a].keypoints.find(l=>l.part==="leftAnkle"),o&&s.lineTo(o.position.x,o.position.y)),i=e[a].keypoints.find(l=>l.part==="rightHip"),i&&(s.moveTo(i.position.x,i.position.y),o=e[a].keypoints.find(l=>l.part==="rightKnee"),o&&s.lineTo(o.position.x,o.position.y),o=e[a].keypoints.find(l=>l.part==="rightAnkle"),o&&s.lineTo(o.position.x,o.position.y)),i=e[a].keypoints.find(l=>l.part==="leftShoulder"),i&&(s.moveTo(i.position.x,i.position.y),o=e[a].keypoints.find(l=>l.part==="leftElbow"),o&&s.lineTo(o.position.x,o.position.y),o=e[a].keypoints.find(l=>l.part==="leftWrist"),o&&s.lineTo(o.position.x,o.position.y)),i=e[a].keypoints.find(l=>l.part==="rightShoulder"),i&&(s.moveTo(i.position.x,i.position.y),o=e[a].keypoints.find(l=>l.part==="rightElbow"),o&&s.lineTo(o.position.x,o.position.y),o=e[a].keypoints.find(l=>l.part==="rightWrist"),o&&s.lineTo(o.position.x,o.position.y)),r.stroke(s)}}}async function Yae(e,t,n){if(!e)return;let r=t.getContext("2d");r.lineJoin="round";for(let a of e){if(r.font=n.baseFont,r.lineWidth=n.baseLineWidth,n.drawBoxes&&(r.lineWidth=n.baseLineWidth,r.beginPath(),r.strokeStyle=n.baseColor,r.fillStyle=n.baseColor,r.rect(a.box[0],a.box[1],a.box[2],a.box[3]),r.fillStyle="black",r.fillText("hand",a.box[0]+3,1+a.box[1]+n.baseLineHeight,a.box[2]),r.fillStyle=n.baseLabel,r.fillText("hand",a.box[0]+2,0+a.box[1]+n.baseLineHeight,a.box[2]),r.stroke()),n.drawPoints&&a.landmarks&&a.landmarks.length>0)for(let s of a.landmarks)r.fillStyle=n.useDepth?`rgba(${127.5+2*s[2]}, ${127.5-2*s[2]}, 255, 0.5)`:n.baseColor,r.beginPath(),r.arc(s[0],s[1],2,0,2*Math.PI),r.fill();if(n.drawPolygons){let s=i=>{if(!!i)for(let o=0;o0?o-1:0][0],i[o>0?o-1:0][1]),r.lineTo(i[o][0],i[o][1]),r.stroke()};s(a.annotations.indexFinger),s(a.annotations.middleFinger),s(a.annotations.ringFinger),s(a.annotations.pinky),s(a.annotations.thumb)}}}var Bc={face:Zae,body:Jae,hand:Yae,gesture:Kae};var Vc=0,Av=!1,wt={background:"darkslategray",hover:"lightgray",itemBackground:"black",itemColor:"white",buttonBackground:"lightblue",buttonHover:"lightgreen",checkboxOn:"lightgreen",checkboxOff:"lightcoral",rangeBackground:"lightblue",rangeLabel:"white",chartColor:"lightblue"};function Qae(){if(Av)return;let e=` +2Q==`,Z6={};Nr(Z6,{author:()=>av,browser:()=>nv,bugs:()=>sv,default:()=>Xae,dependencies:()=>cv,description:()=>Y6,devDependencies:()=>dv,engines:()=>lv,homepage:()=>iv,keywords:()=>fv,license:()=>ov,main:()=>ev,module:()=>tv,name:()=>J6,peerDependencies:()=>hv,repository:()=>uv,scripts:()=>pv,sideEffects:()=>Q6,types:()=>rv,version:()=>N2});var J6="@vladmandic/human",N2="0.20.5",Y6="Human: AI-powered 3D Face Detection, Face Embedding & Recognition, Body Pose Tracking, Hand & Finger Tracking, Iris Analysis, Age & Gender & Emotion Prediction & Gesture Recognition",Q6=!1,ev="dist/human.node.js",tv="dist/human.esm.js",nv="dist/human.esm.js",rv="types/human.d.ts",av="Vladimir Mandic 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--trace-warnings --unhandled-rejections=strict --trace-uncaught --no-deprecation src/node.js",lint:"eslint src demo server",dev:"npm install && node server/serve.js",build:"rimraf dist/* && rimraf types/* && node server/build.js && node server/changelog.js",update:"npm update --depth 20 --force && npm dedupe && npm prune && npm audit"},fv=["tensorflowjs","face-detection","face-geometry","face-embedding","face-recognition","body-tracking","hand-tracking","iris-tracking","age-estimation","emotion-detection","gender-prediction","gesture-recognition"],Xae={name:J6,version:N2,description:Y6,sideEffects:Q6,main:ev,module:tv,browser:nv,types:rv,author:av,bugs:sv,homepage:iv,license:ov,engines:lv,repository:uv,dependencies:cv,peerDependencies:hv,devDependencies:dv,scripts:pv,keywords:fv},ft=()=>typeof performance!="undefined"?performance.now():parseInt((Number(process.hrtime.bigint())/1e3/1e3).toString());function Wc(...e){let t=n=>n&&typeof n=="object";return e.reduce((n,r)=>(Object.keys(r||{}).forEach(a=>{let s=n[a],i=r[a];Array.isArray(s)&&Array.isArray(i)?n[a]=s.concat(...i):t(s)&&t(i)?n[a]=Wc(s,i):n[a]=i}),n),{})}var mv=class{constructor(e={}){this.tf=P2,this.package=Z6,this.version=N2,this.config=Wc(qae,e),this.fx=null,this.state="idle",this.numTensors=0,this.analyzeMemoryLeaks=!1,this.checkSanity=!1,this.firstRun=!0,this.perf={},this.models={facemesh:null,posenet:null,handpose:null,iris:null,age:null,gender:null,emotion:null},this.facemesh=_6,this.age=I6,this.gender=N6,this.emotion=S6,this.body=R6,this.hand=V6}profile(){return this.config.profile?k6:{}}analyze(...e){if(!this.analyzeMemoryLeaks)return;let t=this.tf.engine().state.numTensors,n=this.numTensors;this.numTensors=t;let r=t-n;r!==0&&Ve(...e,r)}sanity(e){if(!this.checkSanity)return null;if(!e)return"input is not defined";if(this.tf.ENV.flags.IS_NODE&&!(e instanceof this.tf.Tensor))return"input must be a tensor";try{this.tf.getBackend()}catch(t){return"backend not loaded"}return null}simmilarity(e,t){return this.config.face.embedding.enabled?tae(e,t):0}async load(e=null){this.state="load";let t=ft();e&&(this.config=Wc(this.config,e)),this.firstRun&&(Ve(`version: ${this.version} TensorFlow/JS version: ${this.tf.version_core}`),await this.checkBackend(!0),this.tf.ENV.flags.IS_BROWSER&&(Ve("configuration:",this.config),Ve("tf flags:",this.tf.ENV.flags)));let n=this.config.face.detector.modelPath.includes("faceboxes")?b6:_6;this.config.async?[this.models.face,this.models.age,this.models.gender,this.models.emotion,this.models.embedding,this.models.posenet,this.models.handpose]=await Promise.all([this.models.face||(this.config.face.enabled?n.load(this.config):null),this.models.age||(this.config.face.enabled&&this.config.face.age.enabled?r2(this.config):null),this.models.gender||(this.config.face.enabled&&this.config.face.gender.enabled?s2(this.config):null),this.models.emotion||(this.config.face.enabled&&this.config.face.emotion.enabled?c2(this.config):null),this.models.embedding||(this.config.face.enabled&&this.config.face.embedding.enabled?E6(this.config):null),this.models.posenet||(this.config.body.enabled?f2(this.config):null),this.models.handpose||(this.config.hand.enabled?x2(this.config):null)]):(this.config.face.enabled&&!this.models.face&&(this.models.face=await n.load(this.config)),this.config.face.enabled&&this.config.face.age.enabled&&!this.models.age&&(this.models.age=await r2(this.config)),this.config.face.enabled&&this.config.face.gender.enabled&&!this.models.gender&&(this.models.gender=await s2(this.config)),this.config.face.enabled&&this.config.face.emotion.enabled&&!this.models.emotion&&(this.models.emotion=await c2(this.config)),this.config.face.enabled&&this.config.face.embedding.enabled&&!this.models.embedding&&(this.models.embedding=await E6(this.config)),this.config.body.enabled&&!this.models.posenet&&(this.models.posenet=await f2(this.config)),this.config.hand.enabled&&!this.models.handpose&&(this.models.handpose=await x2(this.config))),this.firstRun&&(Ve("tf engine state:",this.tf.engine().state.numBytes,"bytes",this.tf.engine().state.numTensors,"tensors"),this.firstRun=!1);let r=Math.trunc(ft()-t);r>(this.perf.load||0)&&(this.perf.load=r)}async checkBackend(e=!1){if(this.config.backend&&this.config.backend!==""&&e||this.tf.getBackend()!==this.config.backend){let t=ft();this.state="backend",Ve("setting backend:",this.config.backend),this.config.backend==="wasm"&&(Ve("settings wasm path:",this.config.wasmPath),this.tf.setWasmPaths(this.config.wasmPath),await this.tf.env().getAsync("WASM_HAS_SIMD_SUPPORT")||Ve("warning: wasm simd support is not enabled")),this.config.backend==="humangl"&&Cre();try{await this.tf.setBackend(this.config.backend)}catch(n){Ve("error: cannot set backend:",this.config.backend,n)}if(this.tf.enableProdMode(),this.tf.getBackend()==="webgl"){this.config.deallocate&&(Ve("changing webgl: WEBGL_DELETE_TEXTURE_THRESHOLD:",this.config.deallocate),this.tf.ENV.set("WEBGL_DELETE_TEXTURE_THRESHOLD",this.config.deallocate?0:-1)),this.tf.ENV.set("WEBGL_FORCE_F16_TEXTURES",!0),this.tf.ENV.set("WEBGL_PACK_DEPTHWISECONV",!0);let n=await this.tf.backend().getGPGPUContext().gl;Ve(`gl version:${n.getParameter(n.VERSION)} renderer:${n.getParameter(n.RENDERER)}`)}await this.tf.ready(),this.perf.backend=Math.trunc(ft()-t)}}async detectFace(e){var t,n,r,a,s,i;let o,l,c,u,h,d=[];this.state="run:face",o=ft();let p=await((t=this.models.face)==null?void 0:t.estimateFaces(e,this.config));this.perf.face=Math.trunc(ft()-o);for(let f of p){if(this.analyze("Get Face"),!f.image||f.image.isDisposedInternal){Ve("Face object is disposed:",f.image);continue}this.analyze("Start Age:"),this.config.async?l=this.config.face.age.enabled?a2(f.image,this.config):{}:(this.state="run:age",o=ft(),l=this.config.face.age.enabled?await a2(f.image,this.config):{},this.perf.age=Math.trunc(ft()-o)),this.analyze("Start Gender:"),this.config.async?c=this.config.face.gender.enabled?i2(f.image,this.config):{}:(this.state="run:gender",o=ft(),c=this.config.face.gender.enabled?await i2(f.image,this.config):{},this.perf.gender=Math.trunc(ft()-o)),this.analyze("Start Emotion:"),this.config.async?u=this.config.face.emotion.enabled?h2(f.image,this.config):{}:(this.state="run:emotion",o=ft(),u=this.config.face.emotion.enabled?await h2(f.image,this.config):{},this.perf.emotion=Math.trunc(ft()-o)),this.analyze("End Emotion:"),this.analyze("Start Embedding:"),this.config.async?h=this.config.face.embedding.enabled?C6(f.image,this.config):{}:(this.state="run:embedding",o=ft(),h=this.config.face.embedding.enabled?await C6(f.image,this.config):{},this.perf.embedding=Math.trunc(ft()-o)),this.analyze("End Emotion:"),this.config.async&&([l,c,u,h]=await Promise.all([l,c,u,h])),this.analyze("Finish Face:"),!this.config.face.iris.enabled&&((n=f==null?void 0:f.annotations)==null?void 0:n.leftEyeIris)&&((r=f==null?void 0:f.annotations)==null?void 0:r.rightEyeIris)&&(delete f.annotations.leftEyeIris,delete f.annotations.rightEyeIris);let m=((a=f.annotations)==null?void 0:a.leftEyeIris)&&((s=f.annotations)==null?void 0:s.rightEyeIris)?11.7*Math.max(Math.abs(f.annotations.leftEyeIris[3][0]-f.annotations.leftEyeIris[1][0]),Math.abs(f.annotations.rightEyeIris[4][1]-f.annotations.rightEyeIris[2][1])):0;d.push({confidence:f.confidence,box:f.box,mesh:f.mesh,boxRaw:f.boxRaw,meshRaw:f.meshRaw,annotations:f.annotations,age:l.age,gender:c.gender,genderConfidence:c.confidence,emotion:u,embedding:h,iris:m!==0?Math.trunc(m)/100:0}),(i=f.image)==null||i.dispose(),this.analyze("End Face")}return this.analyze("End FaceMesh:"),this.config.async&&(this.perf.face&&delete this.perf.face,this.perf.age&&delete this.perf.age,this.perf.gender&&delete this.perf.gender,this.perf.emotion&&delete this.perf.emotion),d}async detect(e,t={}){return new Promise(async n=>{var r,a,s,i;this.state="config";let o;this.config=Wc(this.config,t),this.state="check";let l=this.sanity(e);l&&(Ve(l,e),n({error:l}));let c,u,h,d=ft();await this.checkBackend(),await this.load(),this.config.scoped&&this.tf.engine().startScope(),this.analyze("Start Scope:"),o=ft();let p=Gae(e,this.config);if(!p||!p.tensor){Ve("could not convert input to tensor"),n({error:"could not convert input to tensor"});return}this.perf.image=Math.trunc(ft()-o),this.analyze("Get Image:"),this.config.async?(h=this.config.face.enabled?this.detectFace(p.tensor):[],this.perf.face&&delete this.perf.face):(this.state="run:face",o=ft(),h=this.config.face.enabled?await this.detectFace(p.tensor):[],this.perf.face=Math.trunc(ft()-o)),this.analyze("Start Body:"),this.config.async?(c=this.config.body.enabled?(r=this.models.posenet)==null?void 0:r.estimatePoses(p.tensor,this.config):[],this.perf.body&&delete this.perf.body):(this.state="run:body",o=ft(),c=this.config.body.enabled?await((a=this.models.posenet)==null?void 0:a.estimatePoses(p.tensor,this.config)):[],this.perf.body=Math.trunc(ft()-o)),this.analyze("End Body:"),this.analyze("Start Hand:"),this.config.async?(u=this.config.hand.enabled?(s=this.models.handpose)==null?void 0:s.estimateHands(p.tensor,this.config):[],this.perf.hand&&delete this.perf.hand):(this.state="run:hand",o=ft(),u=this.config.hand.enabled?await((i=this.models.handpose)==null?void 0:i.estimateHands(p.tensor,this.config)):[],this.perf.hand=Math.trunc(ft()-o)),this.analyze("End Hand:"),this.config.async&&([h,c,u]=await Promise.all([h,c,u])),p.tensor.dispose(),this.config.scoped&&this.tf.engine().endScope(),this.analyze("End Scope:");let f=[];this.config.gesture.enabled&&(o=ft(),f=[...Bae(h),...Wae(c),...Uae(u),...Vae(h)],this.config.async?this.perf.gesture&&delete this.perf.gesture:this.perf.gesture=Math.trunc(ft()-o)),this.perf.total=Math.trunc(ft()-d),this.state="idle",n({face:h,body:c,hand:u,gesture:f,performance:this.perf,canvas:p.canvas})})}async warmupBitmap(){let e=(r,a="application/octet-stream")=>fetch(`data:${a};base64,${r}`).then(s=>s.blob()),t,n;switch(this.config.warmup){case"face":t=await e(k2);break;case"full":t=await e(I2);break;default:t=null}if(t){let r=await createImageBitmap(t);n=await this.detect(r,this.config),r.close()}return n}async warmupCanvas(){return new Promise(e=>{let t,n=0;switch(this.config.warmup){case"face":n=256,t="data:image/jpeg;base64,"+k2;break;case"full":n=1200,t="data:image/jpeg;base64,"+I2;break;default:t=null}let r=new Image(n,n);r.onload=()=>{let a=typeof OffscreenCanvas!="undefined"?new OffscreenCanvas(n,n):document.createElement("canvas");a.width=n,a.height=n;let s=a.getContext("2d");s==null||s.drawImage(r,0,0);let i=s==null?void 0:s.getImageData(0,0,n,n);this.detect(i,this.config).then(o=>e(o))},t?r.src=t:e(null)})}async warmupNode(){let e=s=>Buffer.from(s,"base64"),t=this.config.warmup==="face"?e(k2):e(I2),n=(void 0).decodeJpeg(t),r=n.expandDims(0);this.tf.dispose(n);let a=await this.detect(r,this.config);return this.tf.dispose(r),a}async warmup(e){let t=ft();e&&(this.config=Wc(this.config,e));let n=this.config.videoOptimized;this.config.videoOptimized=!1;let r;typeof createImageBitmap=="function"?r=await this.warmupBitmap():typeof Image!="undefined"?r=await this.warmupCanvas():r=await this.warmupNode(),this.config.videoOptimized=n;let a=ft();return Ve("Warmup",this.config.warmup,Math.round(a-t),"ms",r),r}};async function Kae(e,t,n){if(!e)return;let r=t.getContext("2d");r.font=n.baseFont,r.fillStyle=n.baseLabel;let a=1;for(let s=0;s1&&o[1].length>0){let l=i[1]>0?`#${i[1]}`:"",c=`${i[0]} ${l}: ${o[1]}`;r.fillStyle="black",r.fillText(c,8,2+a*n.baseLineHeight),r.fillStyle=n.baseLabel,r.fillText(c,6,0+a*n.baseLineHeight),a+=1}}}async function Zae(e,t,n,r){if(!e)return;let a=t.getContext("2d");for(let s of e){a.font=n.baseFont,a.strokeStyle=n.baseColor,a.fillStyle=n.baseColor,a.lineWidth=n.baseLineWidth,a.beginPath(),n.drawBoxes&&a.rect(s.box[0],s.box[1],s.box[2],s.box[3]);let i=[];if(s.genderConfidence&&i.push(`${s.gender||""} ${Math.trunc(100*s.genderConfidence)}% confident`),s.age&&i.push(`age: ${s.age||""}`),s.iris&&i.push(`iris distance: ${s.iris}`),s.emotion&&s.emotion.length>0){let 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function Yae(e,t,n){if(!e)return;let r=t.getContext("2d");r.lineJoin="round";for(let a of e){if(r.font=n.baseFont,r.lineWidth=n.baseLineWidth,n.drawBoxes&&(r.lineWidth=n.baseLineWidth,r.beginPath(),r.strokeStyle=n.baseColor,r.fillStyle=n.baseColor,r.rect(a.box[0],a.box[1],a.box[2],a.box[3]),r.fillStyle="black",r.fillText("hand",a.box[0]+3,1+a.box[1]+n.baseLineHeight,a.box[2]),r.fillStyle=n.baseLabel,r.fillText("hand",a.box[0]+2,0+a.box[1]+n.baseLineHeight,a.box[2]),r.stroke()),n.drawPoints&&a.landmarks&&a.landmarks.length>0)for(let s of a.landmarks)r.fillStyle=n.useDepth?`rgba(${127.5+2*s[2]}, ${127.5-2*s[2]}, 255, 0.5)`:n.baseColor,r.beginPath(),r.arc(s[0],s[1],2,0,2*Math.PI),r.fill();if(n.drawPolygons){let s=i=>{if(!!i)for(let o=0;o0?o-1:0][0],i[o>0?o-1:0][1]),r.lineTo(i[o][0],i[o][1]),r.stroke()};s(a.annotations.indexFinger),s(a.annotations.middleFinger),s(a.annotations.ringFinger),s(a.annotations.pinky),s(a.annotations.thumb)}}}var Bc={face:Zae,body:Jae,hand:Yae,gesture:Kae};var Vc=0,Av=!1,wt={background:"darkslategray",hover:"lightgray",itemBackground:"black",itemColor:"white",buttonBackground:"lightblue",buttonHover:"lightgreen",checkboxOn:"lightgreen",checkboxOff:"lightcoral",rangeBackground:"lightblue",rangeLabel:"white",chartColor:"lightblue"};function Qae(){if(Av)return;let e=` :root { --rounded: 0.2rem; } .menu { position: absolute; top: 0rem; right: 0; width: max-content; padding: 0 0.2rem 0 0.2rem; line-height: 1.8rem; z-index: 10; box-shadow: 0 0 8px dimgrey; background: ${wt.background}; border-radius: var(--rounded); border-color: black; border-style: solid; border-width: thin; } diff --git a/dist/demo-browser-index.js.map b/dist/demo-browser-index.js.map index 9cd32b0c..8ecdab84 100644 --- a/dist/demo-browser-index.js.map +++ b/dist/demo-browser-index.js.map @@ -1,7 +1,7 @@ { "version": 3, "sources": ["../src/blazeface/facemesh.ts", "../src/posenet/keypoints.ts", "../src/log.ts", "../node_modules/node-fetch/browser.js", 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"../src/tfjs/tf-browser.ts", "../src/tfjs/backend.ts", "../src/blazeface/blazeface.ts", "../src/blazeface/box.ts", "../src/blazeface/util.ts", "../src/blazeface/coords.ts", "../src/blazeface/facepipeline.ts", "../src/human.ts", "../src/faceboxes/faceboxes.ts", "../src/profile.ts", "../src/age/age.ts", "../src/gender/gender.ts", "../src/emotion/emotion.ts", "../src/embedding/embedding.ts", "../src/posenet/posenet.ts", "../src/posenet/modelBase.ts", "../src/posenet/heapSort.ts", "../src/posenet/buildParts.ts", "../src/posenet/decodePose.ts", "../src/posenet/vectors.ts", "../src/posenet/decoders.ts", "../src/posenet/decodeMultiple.ts", "../src/posenet/util.ts", "../src/handpose/handpose.ts", "../src/handpose/box.ts", "../src/handpose/handdetector.ts", "../src/handpose/util.ts", "../src/handpose/handpipeline.ts", "../src/handpose/anchors.ts", "../src/gesture/gesture.ts", "../src/imagefx.js", "../src/image.ts", "../config.js", "../src/sample.ts", "../demo/draw.js", "../demo/menu.js", "../demo/gl-bench.js", "../demo/browser.js"], - "sourcesContent": ["import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as blazeface from './blazeface';\nimport * as facepipeline from './facepipeline';\nimport * as coords from './coords';\n\nexport class MediaPipeFaceMesh {\n facePipeline: any;\n config: any;\n\n constructor(blazeFace, blazeMeshModel, irisModel, config) {\n this.facePipeline = new facepipeline.Pipeline(blazeFace, blazeMeshModel, irisModel, config);\n this.config = config;\n }\n\n async estimateFaces(input, config) {\n const predictions = await this.facePipeline.predict(input, config);\n const results: Array<{}> = [];\n for (const prediction of (predictions || [])) {\n if (prediction.isDisposedInternal) continue; // guard against disposed tensors on long running operations such as pause in middle of processing\n const mesh = prediction.coords ? prediction.coords.arraySync() : null;\n const meshRaw = prediction.rawCoords;\n const annotations = {};\n if (mesh && mesh.length > 0) {\n for (const key of Object.keys(coords.MESH_ANNOTATIONS)) {\n annotations[key] = coords.MESH_ANNOTATIONS[key].map((index) => mesh[index]);\n }\n }\n const boxRaw = (config.face.mesh.returnRawData && prediction.box) ? { topLeft: prediction.box.startPoint, bottomRight: prediction.box.endPoint } : null;\n const box = prediction.box ? [\n Math.max(0, prediction.box.startPoint[0]),\n Math.max(0, prediction.box.startPoint[1]),\n Math.min(input.shape[2], prediction.box.endPoint[0]) - prediction.box.startPoint[0],\n Math.min(input.shape[1], prediction.box.endPoint[1]) - prediction.box.startPoint[1],\n ] : 0;\n results.push({ confidence: prediction.confidence || 0, box, mesh, boxRaw, meshRaw, annotations, image: prediction.image ? tf.clone(prediction.image) : null });\n if (prediction.coords) prediction.coords.dispose();\n if (prediction.image) prediction.image.dispose();\n }\n return results;\n }\n}\n\nlet faceModels = [null, null, null];\nexport async function load(config) {\n // @ts-ignore\n faceModels = await Promise.all([\n (!faceModels[0] && config.face.enabled) ? blazeface.load(config) : null,\n (!faceModels[1] && config.face.mesh.enabled) ? tf.loadGraphModel(config.face.mesh.modelPath, { fromTFHub: config.face.mesh.modelPath.includes('tfhub.dev') }) : null,\n (!faceModels[2] && config.face.iris.enabled) ? tf.loadGraphModel(config.face.iris.modelPath, { fromTFHub: config.face.iris.modelPath.includes('tfhub.dev') }) : null,\n ]);\n const faceMesh = new MediaPipeFaceMesh(faceModels[0], faceModels[1], faceModels[2], config);\n if (config.face.mesh.enabled) log(`load model: ${config.face.mesh.modelPath.match(/\\/(.*)\\./)[1]}`);\n if (config.face.iris.enabled) log(`load model: ${config.face.iris.modelPath.match(/\\/(.*)\\./)[1]}`);\n return faceMesh;\n}\n\nexports.triangulation = coords.TRI468;\n", "export const partNames = [\n 'nose', 'leftEye', 'rightEye', 'leftEar', 'rightEar', 'leftShoulder',\n 'rightShoulder', 'leftElbow', 'rightElbow', 'leftWrist', 'rightWrist',\n 'leftHip', 'rightHip', 'leftKnee', 'rightKnee', 'leftAnkle', 'rightAnkle',\n];\n\nexport const NUM_KEYPOINTS = exports.partNames.length;\n\nexport const partIds = exports.partNames.reduce((result, jointName, i) => {\n result[jointName] = i;\n return result;\n}, {});\n\nconst connectedPartNames = [\n ['leftHip', 'leftShoulder'], ['leftElbow', 'leftShoulder'],\n ['leftElbow', 'leftWrist'], ['leftHip', 'leftKnee'],\n ['leftKnee', 'leftAnkle'], ['rightHip', 'rightShoulder'],\n ['rightElbow', 'rightShoulder'], ['rightElbow', 'rightWrist'],\n ['rightHip', 'rightKnee'], ['rightKnee', 'rightAnkle'],\n ['leftShoulder', 'rightShoulder'], ['leftHip', 'rightHip'],\n];\nexport const connectedPartIndices = connectedPartNames.map(([jointNameA, jointNameB]) => ([partIds[jointNameA], partIds[jointNameB]]));\n\nexport const poseChain = [\n ['nose', 'leftEye'], ['leftEye', 'leftEar'], ['nose', 'rightEye'],\n ['rightEye', 'rightEar'], ['nose', 'leftShoulder'],\n ['leftShoulder', 'leftElbow'], ['leftElbow', 'leftWrist'],\n ['leftShoulder', 'leftHip'], ['leftHip', 'leftKnee'],\n ['leftKnee', 'leftAnkle'], ['nose', 'rightShoulder'],\n ['rightShoulder', 'rightElbow'], ['rightElbow', 'rightWrist'],\n ['rightShoulder', 'rightHip'], ['rightHip', 'rightKnee'],\n ['rightKnee', 'rightAnkle'],\n];\n\nexport const partChannels = [\n 'left_face',\n 'right_face',\n 'right_upper_leg_front',\n 'right_lower_leg_back',\n 'right_upper_leg_back',\n 'left_lower_leg_front',\n 'left_upper_leg_front',\n 'left_upper_leg_back',\n 'left_lower_leg_back',\n 'right_feet',\n 'right_lower_leg_front',\n 'left_feet',\n 'torso_front',\n 'torso_back',\n 'right_upper_arm_front',\n 'right_upper_arm_back',\n 'right_lower_arm_back',\n 'left_lower_arm_front',\n 'left_upper_arm_front',\n 'left_upper_arm_back',\n 'left_lower_arm_back',\n 'right_hand',\n 'right_lower_arm_front',\n 'left_hand',\n];\n", "// helper function: wrapper around console output\nexport function log(...msg) {\n const dt = new Date();\n const ts = `${dt.getHours().toString().padStart(2, '0')}:${dt.getMinutes().toString().padStart(2, '0')}:${dt.getSeconds().toString().padStart(2, '0')}.${dt.getMilliseconds().toString().padStart(3, '0')}`;\n // eslint-disable-next-line no-console\n if (msg) console.log(ts, 'Human:', ...msg);\n}\n", "", "// A port of an algorithm by Johannes Baag\u00F8e , 2010\n// http://baagoe.com/en/RandomMusings/javascript/\n// https://github.com/nquinlan/better-random-numbers-for-javascript-mirror\n// Original work is under MIT license -\n\n// Copyright (C) 2010 by Johannes Baag\u00F8e \n//\n// Permission is hereby granted, free of charge, to any person obtaining a copy\n// of this software and associated documentation files (the \"Software\"), to deal\n// in the Software without restriction, including without limitation the rights\n// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell\n// copies of the Software, and to permit persons to whom the Software is\n// furnished to do so, subject to the following conditions:\n// \n// The above copyright notice and this permission notice shall be included in\n// all copies or substantial portions of the Software.\n// \n// THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\n// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\n// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN\n// THE SOFTWARE.\n\n\n\n(function(global, module, define) {\n\nfunction Alea(seed) {\n var me = this, mash = Mash();\n\n me.next = function() {\n var t = 2091639 * me.s0 + me.c * 2.3283064365386963e-10; // 2^-32\n me.s0 = me.s1;\n me.s1 = me.s2;\n return me.s2 = t - (me.c = t | 0);\n };\n\n // Apply the seeding algorithm from Baagoe.\n me.c = 1;\n me.s0 = mash(' ');\n me.s1 = mash(' ');\n me.s2 = mash(' ');\n me.s0 -= mash(seed);\n if (me.s0 < 0) { me.s0 += 1; }\n me.s1 -= mash(seed);\n if (me.s1 < 0) { me.s1 += 1; }\n me.s2 -= mash(seed);\n if (me.s2 < 0) { me.s2 += 1; }\n mash = null;\n}\n\nfunction copy(f, t) {\n t.c = f.c;\n t.s0 = f.s0;\n t.s1 = f.s1;\n t.s2 = f.s2;\n return t;\n}\n\nfunction impl(seed, opts) {\n var xg = new Alea(seed),\n state = opts && opts.state,\n prng = xg.next;\n prng.int32 = function() { return (xg.next() * 0x100000000) | 0; }\n prng.double = function() {\n return prng() + (prng() * 0x200000 | 0) * 1.1102230246251565e-16; // 2^-53\n };\n prng.quick = prng;\n if (state) {\n if (typeof(state) == 'object') copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nfunction Mash() {\n var n = 0xefc8249d;\n\n var mash = function(data) {\n data = data.toString();\n for (var i = 0; i < data.length; i++) {\n n += data.charCodeAt(i);\n var h = 0.02519603282416938 * n;\n n = h >>> 0;\n h -= n;\n h *= n;\n n = h >>> 0;\n h -= n;\n n += h * 0x100000000; // 2^32\n }\n return (n >>> 0) * 2.3283064365386963e-10; // 2^-32\n };\n\n return mash;\n}\n\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.alea = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n\n", "// A Javascript implementaion of the \"xor128\" prng algorithm by\n// George Marsaglia. See http://www.jstatsoft.org/v08/i14/paper\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this, strseed = '';\n\n me.x = 0;\n me.y = 0;\n me.z = 0;\n me.w = 0;\n\n // Set up generator function.\n me.next = function() {\n var t = me.x ^ (me.x << 11);\n me.x = me.y;\n me.y = me.z;\n me.z = me.w;\n return me.w ^= (me.w >>> 19) ^ t ^ (t >>> 8);\n };\n\n if (seed === (seed | 0)) {\n // Integer seed.\n me.x = seed;\n } else {\n // String seed.\n strseed += seed;\n }\n\n // Mix in string seed, then discard an initial batch of 64 values.\n for (var k = 0; k < strseed.length + 64; k++) {\n me.x ^= strseed.charCodeAt(k) | 0;\n me.next();\n }\n}\n\nfunction copy(f, t) {\n t.x = f.x;\n t.y = f.y;\n t.z = f.z;\n t.w = f.w;\n return t;\n}\n\nfunction impl(seed, opts) {\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (typeof(state) == 'object') copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.xor128 = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n\n", "// A Javascript implementaion of the \"xorwow\" prng algorithm by\n// George Marsaglia. See http://www.jstatsoft.org/v08/i14/paper\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this, strseed = '';\n\n // Set up generator function.\n me.next = function() {\n var t = (me.x ^ (me.x >>> 2));\n me.x = me.y; me.y = me.z; me.z = me.w; me.w = me.v;\n return (me.d = (me.d + 362437 | 0)) +\n (me.v = (me.v ^ (me.v << 4)) ^ (t ^ (t << 1))) | 0;\n };\n\n me.x = 0;\n me.y = 0;\n me.z = 0;\n me.w = 0;\n me.v = 0;\n\n if (seed === (seed | 0)) {\n // Integer seed.\n me.x = seed;\n } else {\n // String seed.\n strseed += seed;\n }\n\n // Mix in string seed, then discard an initial batch of 64 values.\n for (var k = 0; k < strseed.length + 64; k++) {\n me.x ^= strseed.charCodeAt(k) | 0;\n if (k == strseed.length) {\n me.d = me.x << 10 ^ me.x >>> 4;\n }\n me.next();\n }\n}\n\nfunction copy(f, t) {\n t.x = f.x;\n t.y = f.y;\n t.z = f.z;\n t.w = f.w;\n t.v = f.v;\n t.d = f.d;\n return t;\n}\n\nfunction impl(seed, opts) {\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (typeof(state) == 'object') copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.xorwow = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n\n", "// A Javascript implementaion of the \"xorshift7\" algorithm by\n// Fran\u00E7ois Panneton and Pierre L'ecuyer:\n// \"On the Xorgshift Random Number Generators\"\n// http://saluc.engr.uconn.edu/refs/crypto/rng/panneton05onthexorshift.pdf\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this;\n\n // Set up generator function.\n me.next = function() {\n // Update xor generator.\n var X = me.x, i = me.i, t, v, w;\n t = X[i]; t ^= (t >>> 7); v = t ^ (t << 24);\n t = X[(i + 1) & 7]; v ^= t ^ (t >>> 10);\n t = X[(i + 3) & 7]; v ^= t ^ (t >>> 3);\n t = X[(i + 4) & 7]; v ^= t ^ (t << 7);\n t = X[(i + 7) & 7]; t = t ^ (t << 13); v ^= t ^ (t << 9);\n X[i] = v;\n me.i = (i + 1) & 7;\n return v;\n };\n\n function init(me, seed) {\n var j, w, X = [];\n\n if (seed === (seed | 0)) {\n // Seed state array using a 32-bit integer.\n w = X[0] = seed;\n } else {\n // Seed state using a string.\n seed = '' + seed;\n for (j = 0; j < seed.length; ++j) {\n X[j & 7] = (X[j & 7] << 15) ^\n (seed.charCodeAt(j) + X[(j + 1) & 7] << 13);\n }\n }\n // Enforce an array length of 8, not all zeroes.\n while (X.length < 8) X.push(0);\n for (j = 0; j < 8 && X[j] === 0; ++j);\n if (j == 8) w = X[7] = -1; else w = X[j];\n\n me.x = X;\n me.i = 0;\n\n // Discard an initial 256 values.\n for (j = 256; j > 0; --j) {\n me.next();\n }\n }\n\n init(me, seed);\n}\n\nfunction copy(f, t) {\n t.x = f.x.slice();\n t.i = f.i;\n return t;\n}\n\nfunction impl(seed, opts) {\n if (seed == null) seed = +(new Date);\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (state.x) copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.xorshift7 = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n", "// A Javascript implementaion of Richard Brent's Xorgens xor4096 algorithm.\n//\n// This fast non-cryptographic random number generator is designed for\n// use in Monte-Carlo algorithms. It combines a long-period xorshift\n// generator with a Weyl generator, and it passes all common batteries\n// of stasticial tests for randomness while consuming only a few nanoseconds\n// for each prng generated. For background on the generator, see Brent's\n// paper: \"Some long-period random number generators using shifts and xors.\"\n// http://arxiv.org/pdf/1004.3115v1.pdf\n//\n// Usage:\n//\n// var xor4096 = require('xor4096');\n// random = xor4096(1); // Seed with int32 or string.\n// assert.equal(random(), 0.1520436450538547); // (0, 1) range, 53 bits.\n// assert.equal(random.int32(), 1806534897); // signed int32, 32 bits.\n//\n// For nonzero numeric keys, this impelementation provides a sequence\n// identical to that by Brent's xorgens 3 implementaion in C. This\n// implementation also provides for initalizing the generator with\n// string seeds, or for saving and restoring the state of the generator.\n//\n// On Chrome, this prng benchmarks about 2.1 times slower than\n// Javascript's built-in Math.random().\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this;\n\n // Set up generator function.\n me.next = function() {\n var w = me.w,\n X = me.X, i = me.i, t, v;\n // Update Weyl generator.\n me.w = w = (w + 0x61c88647) | 0;\n // Update xor generator.\n v = X[(i + 34) & 127];\n t = X[i = ((i + 1) & 127)];\n v ^= v << 13;\n t ^= t << 17;\n v ^= v >>> 15;\n t ^= t >>> 12;\n // Update Xor generator array state.\n v = X[i] = v ^ t;\n me.i = i;\n // Result is the combination.\n return (v + (w ^ (w >>> 16))) | 0;\n };\n\n function init(me, seed) {\n var t, v, i, j, w, X = [], limit = 128;\n if (seed === (seed | 0)) {\n // Numeric seeds initialize v, which is used to generates X.\n v = seed;\n seed = null;\n } else {\n // String seeds are mixed into v and X one character at a time.\n seed = seed + '\\0';\n v = 0;\n limit = Math.max(limit, seed.length);\n }\n // Initialize circular array and weyl value.\n for (i = 0, j = -32; j < limit; ++j) {\n // Put the unicode characters into the array, and shuffle them.\n if (seed) v ^= seed.charCodeAt((j + 32) % seed.length);\n // After 32 shuffles, take v as the starting w value.\n if (j === 0) w = v;\n v ^= v << 10;\n v ^= v >>> 15;\n v ^= v << 4;\n v ^= v >>> 13;\n if (j >= 0) {\n w = (w + 0x61c88647) | 0; // Weyl.\n t = (X[j & 127] ^= (v + w)); // Combine xor and weyl to init array.\n i = (0 == t) ? i + 1 : 0; // Count zeroes.\n }\n }\n // We have detected all zeroes; make the key nonzero.\n if (i >= 128) {\n X[(seed && seed.length || 0) & 127] = -1;\n }\n // Run the generator 512 times to further mix the state before using it.\n // Factoring this as a function slows the main generator, so it is just\n // unrolled here. The weyl generator is not advanced while warming up.\n i = 127;\n for (j = 4 * 128; j > 0; --j) {\n v = X[(i + 34) & 127];\n t = X[i = ((i + 1) & 127)];\n v ^= v << 13;\n t ^= t << 17;\n v ^= v >>> 15;\n t ^= t >>> 12;\n X[i] = v ^ t;\n }\n // Storing state as object members is faster than using closure variables.\n me.w = w;\n me.X = X;\n me.i = i;\n }\n\n init(me, seed);\n}\n\nfunction copy(f, t) {\n t.i = f.i;\n t.w = f.w;\n t.X = f.X.slice();\n return t;\n};\n\nfunction impl(seed, opts) {\n if (seed == null) seed = +(new Date);\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (state.X) copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.xor4096 = impl;\n}\n\n})(\n this, // window object or global\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n", "// A Javascript implementaion of the \"Tyche-i\" prng algorithm by\n// Samuel Neves and Filipe Araujo.\n// See https://eden.dei.uc.pt/~sneves/pubs/2011-snfa2.pdf\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this, strseed = '';\n\n // Set up generator function.\n me.next = function() {\n var b = me.b, c = me.c, d = me.d, a = me.a;\n b = (b << 25) ^ (b >>> 7) ^ c;\n c = (c - d) | 0;\n d = (d << 24) ^ (d >>> 8) ^ a;\n a = (a - b) | 0;\n me.b = b = (b << 20) ^ (b >>> 12) ^ c;\n me.c = c = (c - d) | 0;\n me.d = (d << 16) ^ (c >>> 16) ^ a;\n return me.a = (a - b) | 0;\n };\n\n /* The following is non-inverted tyche, which has better internal\n * bit diffusion, but which is about 25% slower than tyche-i in JS.\n me.next = function() {\n var a = me.a, b = me.b, c = me.c, d = me.d;\n a = (me.a + me.b | 0) >>> 0;\n d = me.d ^ a; d = d << 16 ^ d >>> 16;\n c = me.c + d | 0;\n b = me.b ^ c; b = b << 12 ^ d >>> 20;\n me.a = a = a + b | 0;\n d = d ^ a; me.d = d = d << 8 ^ d >>> 24;\n me.c = c = c + d | 0;\n b = b ^ c;\n return me.b = (b << 7 ^ b >>> 25);\n }\n */\n\n me.a = 0;\n me.b = 0;\n me.c = 2654435769 | 0;\n me.d = 1367130551;\n\n if (seed === Math.floor(seed)) {\n // Integer seed.\n me.a = (seed / 0x100000000) | 0;\n me.b = seed | 0;\n } else {\n // String seed.\n strseed += seed;\n }\n\n // Mix in string seed, then discard an initial batch of 64 values.\n for (var k = 0; k < strseed.length + 20; k++) {\n me.b ^= strseed.charCodeAt(k) | 0;\n me.next();\n }\n}\n\nfunction copy(f, t) {\n t.a = f.a;\n t.b = f.b;\n t.c = f.c;\n t.d = f.d;\n return t;\n};\n\nfunction impl(seed, opts) {\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (typeof(state) == 'object') copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.tychei = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n\n", "", "/*\nCopyright 2014 David Bau.\n\nPermission is hereby granted, free of charge, to any person obtaining\na copy of this software and associated documentation files (the\n\"Software\"), to deal in the Software without restriction, including\nwithout limitation the rights to use, copy, modify, merge, publish,\ndistribute, sublicense, and/or sell copies of the Software, and to\npermit persons to whom the Software is furnished to do so, subject to\nthe following conditions:\n\nThe above copyright notice and this permission notice shall be\nincluded in all copies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND,\nEXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF\nMERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.\nIN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY\nCLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,\nTORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE\nSOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.\n\n*/\n\n(function (pool, math) {\n//\n// The following constants are related to IEEE 754 limits.\n//\nvar global = this,\n width = 256, // each RC4 output is 0 <= x < 256\n chunks = 6, // at least six RC4 outputs for each double\n digits = 52, // there are 52 significant digits in a double\n rngname = 'random', // rngname: name for Math.random and Math.seedrandom\n startdenom = math.pow(width, chunks),\n significance = math.pow(2, digits),\n overflow = significance * 2,\n mask = width - 1,\n nodecrypto; // node.js crypto module, initialized at the bottom.\n\n//\n// seedrandom()\n// This is the seedrandom function described above.\n//\nfunction seedrandom(seed, options, callback) {\n var key = [];\n options = (options == true) ? { entropy: true } : (options || {});\n\n // Flatten the seed string or build one from local entropy if needed.\n var shortseed = mixkey(flatten(\n options.entropy ? [seed, tostring(pool)] :\n (seed == null) ? autoseed() : seed, 3), key);\n\n // Use the seed to initialize an ARC4 generator.\n var arc4 = new ARC4(key);\n\n // This function returns a random double in [0, 1) that contains\n // randomness in every bit of the mantissa of the IEEE 754 value.\n var prng = function() {\n var n = arc4.g(chunks), // Start with a numerator n < 2 ^ 48\n d = startdenom, // and denominator d = 2 ^ 48.\n x = 0; // and no 'extra last byte'.\n while (n < significance) { // Fill up all significant digits by\n n = (n + x) * width; // shifting numerator and\n d *= width; // denominator and generating a\n x = arc4.g(1); // new least-significant-byte.\n }\n while (n >= overflow) { // To avoid rounding up, before adding\n n /= 2; // last byte, shift everything\n d /= 2; // right using integer math until\n x >>>= 1; // we have exactly the desired bits.\n }\n return (n + x) / d; // Form the number within [0, 1).\n };\n\n prng.int32 = function() { return arc4.g(4) | 0; }\n prng.quick = function() { return arc4.g(4) / 0x100000000; }\n prng.double = prng;\n\n // Mix the randomness into accumulated entropy.\n mixkey(tostring(arc4.S), pool);\n\n // Calling convention: what to return as a function of prng, seed, is_math.\n return (options.pass || callback ||\n function(prng, seed, is_math_call, state) {\n if (state) {\n // Load the arc4 state from the given state if it has an S array.\n if (state.S) { copy(state, arc4); }\n // Only provide the .state method if requested via options.state.\n prng.state = function() { return copy(arc4, {}); }\n }\n\n // If called as a method of Math (Math.seedrandom()), mutate\n // Math.random because that is how seedrandom.js has worked since v1.0.\n if (is_math_call) { math[rngname] = prng; return seed; }\n\n // Otherwise, it is a newer calling convention, so return the\n // prng directly.\n else return prng;\n })(\n prng,\n shortseed,\n 'global' in options ? options.global : (this == math),\n options.state);\n}\nmath['seed' + rngname] = seedrandom;\n\n//\n// ARC4\n//\n// An ARC4 implementation. The constructor takes a key in the form of\n// an array of at most (width) integers that should be 0 <= x < (width).\n//\n// The g(count) method returns a pseudorandom integer that concatenates\n// the next (count) outputs from ARC4. Its return value is a number x\n// that is in the range 0 <= x < (width ^ count).\n//\nfunction ARC4(key) {\n var t, keylen = key.length,\n me = this, i = 0, j = me.i = me.j = 0, s = me.S = [];\n\n // The empty key [] is treated as [0].\n if (!keylen) { key = [keylen++]; }\n\n // Set up S using the standard key scheduling algorithm.\n while (i < width) {\n s[i] = i++;\n }\n for (i = 0; i < width; i++) {\n s[i] = s[j = mask & (j + key[i % keylen] + (t = s[i]))];\n s[j] = t;\n }\n\n // The \"g\" method returns the next (count) outputs as one number.\n (me.g = function(count) {\n // Using instance members instead of closure state nearly doubles speed.\n var t, r = 0,\n i = me.i, j = me.j, s = me.S;\n while (count--) {\n t = s[i = mask & (i + 1)];\n r = r * width + s[mask & ((s[i] = s[j = mask & (j + t)]) + (s[j] = t))];\n }\n me.i = i; me.j = j;\n return r;\n // For robust unpredictability, the function call below automatically\n // discards an initial batch of values. This is called RC4-drop[256].\n // See http://google.com/search?q=rsa+fluhrer+response&btnI\n })(width);\n}\n\n//\n// copy()\n// Copies internal state of ARC4 to or from a plain object.\n//\nfunction copy(f, t) {\n t.i = f.i;\n t.j = f.j;\n t.S = f.S.slice();\n return t;\n};\n\n//\n// flatten()\n// Converts an object tree to nested arrays of strings.\n//\nfunction flatten(obj, depth) {\n var result = [], typ = (typeof obj), prop;\n if (depth && typ == 'object') {\n for (prop in obj) {\n try { result.push(flatten(obj[prop], depth - 1)); } catch (e) {}\n }\n }\n return (result.length ? result : typ == 'string' ? obj : obj + '\\0');\n}\n\n//\n// mixkey()\n// Mixes a string seed into a key that is an array of integers, and\n// returns a shortened string seed that is equivalent to the result key.\n//\nfunction mixkey(seed, key) {\n var stringseed = seed + '', smear, j = 0;\n while (j < stringseed.length) {\n key[mask & j] =\n mask & ((smear ^= key[mask & j] * 19) + stringseed.charCodeAt(j++));\n }\n return tostring(key);\n}\n\n//\n// autoseed()\n// Returns an object for autoseeding, using window.crypto and Node crypto\n// module if available.\n//\nfunction autoseed() {\n try {\n var out;\n if (nodecrypto && (out = nodecrypto.randomBytes)) {\n // The use of 'out' to remember randomBytes makes tight minified code.\n out = out(width);\n } else {\n out = new Uint8Array(width);\n (global.crypto || global.msCrypto).getRandomValues(out);\n }\n return tostring(out);\n } catch (e) {\n var browser = global.navigator,\n plugins = browser && browser.plugins;\n return [+new Date, global, plugins, global.screen, tostring(pool)];\n }\n}\n\n//\n// tostring()\n// Converts an array of charcodes to a string\n//\nfunction tostring(a) {\n return String.fromCharCode.apply(0, a);\n}\n\n//\n// When seedrandom.js is loaded, we immediately mix a few bits\n// from the built-in RNG into the entropy pool. Because we do\n// not want to interfere with deterministic PRNG state later,\n// seedrandom will not call math.random on its own again after\n// initialization.\n//\nmixkey(math.random(), pool);\n\n//\n// Nodejs and AMD support: export the implementation as a module using\n// either convention.\n//\nif ((typeof module) == 'object' && module.exports) {\n module.exports = seedrandom;\n // When in node.js, try using crypto package for autoseeding.\n try {\n nodecrypto = require('crypto');\n } catch (ex) {}\n} else if ((typeof define) == 'function' && define.amd) {\n define(function() { return seedrandom; });\n}\n\n// End anonymous scope, and pass initial values.\n})(\n [], // pool: entropy pool starts empty\n Math // math: package containing random, pow, and seedrandom\n);\n", "// A library of seedable RNGs implemented in Javascript.\n//\n// Usage:\n//\n// var seedrandom = require('seedrandom');\n// var random = seedrandom(1); // or any seed.\n// var x = random(); // 0 <= x < 1. Every bit is random.\n// var x = random.quick(); // 0 <= x < 1. 32 bits of randomness.\n\n// alea, a 53-bit multiply-with-carry generator by Johannes Baag\u00F8e.\n// Period: ~2^116\n// Reported to pass all BigCrush tests.\nvar alea = require('./lib/alea');\n\n// xor128, a pure xor-shift generator by George Marsaglia.\n// Period: 2^128-1.\n// Reported to fail: MatrixRank and LinearComp.\nvar xor128 = require('./lib/xor128');\n\n// xorwow, George Marsaglia's 160-bit xor-shift combined plus weyl.\n// Period: 2^192-2^32\n// Reported to fail: CollisionOver, SimpPoker, and LinearComp.\nvar xorwow = require('./lib/xorwow');\n\n// xorshift7, by Fran\u00E7ois Panneton and Pierre L'ecuyer, takes\n// a different approach: it adds robustness by allowing more shifts\n// than Marsaglia's original three. It is a 7-shift generator\n// with 256 bits, that passes BigCrush with no systmatic failures.\n// Period 2^256-1.\n// No systematic BigCrush failures reported.\nvar xorshift7 = require('./lib/xorshift7');\n\n// xor4096, by Richard Brent, is a 4096-bit xor-shift with a\n// very long period that also adds a Weyl generator. It also passes\n// BigCrush with no systematic failures. Its long period may\n// be useful if you have many generators and need to avoid\n// collisions.\n// Period: 2^4128-2^32.\n// No systematic BigCrush failures reported.\nvar xor4096 = require('./lib/xor4096');\n\n// Tyche-i, by Samuel Neves and Filipe Araujo, is a bit-shifting random\n// number generator derived from ChaCha, a modern stream cipher.\n// https://eden.dei.uc.pt/~sneves/pubs/2011-snfa2.pdf\n// Period: ~2^127\n// No systematic BigCrush failures reported.\nvar tychei = require('./lib/tychei');\n\n// The original ARC4-based prng included in this library.\n// Period: ~2^1600\nvar sr = require('./seedrandom');\n\nsr.alea = alea;\nsr.xor128 = xor128;\nsr.xorwow = xorwow;\nsr.xorshift7 = xorshift7;\nsr.xor4096 = xor4096;\nsr.tychei = tychei;\n\nmodule.exports = sr;\n", "// A port of an algorithm by Johannes Baag\u00F8e , 2010\n// http://baagoe.com/en/RandomMusings/javascript/\n// https://github.com/nquinlan/better-random-numbers-for-javascript-mirror\n// Original work is under MIT license -\n\n// Copyright (C) 2010 by Johannes Baag\u00F8e \n//\n// Permission is hereby granted, free of charge, to any person obtaining a copy\n// of this software and associated documentation files (the \"Software\"), to deal\n// in the Software without restriction, including without limitation the rights\n// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell\n// copies of the Software, and to permit persons to whom the Software is\n// furnished to do so, subject to the following conditions:\n// \n// The above copyright notice and this permission notice shall be included in\n// all copies or substantial portions of the Software.\n// \n// THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\n// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\n// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN\n// THE SOFTWARE.\n\n\n\n(function(global, module, define) {\n\nfunction Alea(seed) {\n var me = this, mash = Mash();\n\n me.next = function() {\n var t = 2091639 * me.s0 + me.c * 2.3283064365386963e-10; // 2^-32\n me.s0 = me.s1;\n me.s1 = me.s2;\n return me.s2 = t - (me.c = t | 0);\n };\n\n // Apply the seeding algorithm from Baagoe.\n me.c = 1;\n me.s0 = mash(' ');\n me.s1 = mash(' ');\n me.s2 = mash(' ');\n me.s0 -= mash(seed);\n if (me.s0 < 0) { me.s0 += 1; }\n me.s1 -= mash(seed);\n if (me.s1 < 0) { me.s1 += 1; }\n me.s2 -= mash(seed);\n if (me.s2 < 0) { me.s2 += 1; }\n mash = null;\n}\n\nfunction copy(f, t) {\n t.c = f.c;\n t.s0 = f.s0;\n t.s1 = f.s1;\n t.s2 = f.s2;\n return t;\n}\n\nfunction impl(seed, opts) {\n var xg = new Alea(seed),\n state = opts && opts.state,\n prng = xg.next;\n prng.int32 = function() { return (xg.next() * 0x100000000) | 0; }\n prng.double = function() {\n return prng() + (prng() * 0x200000 | 0) * 1.1102230246251565e-16; // 2^-53\n };\n prng.quick = prng;\n if (state) {\n if (typeof(state) == 'object') copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nfunction Mash() {\n var n = 0xefc8249d;\n\n var mash = function(data) {\n data = data.toString();\n for (var i = 0; i < data.length; i++) {\n n += data.charCodeAt(i);\n var h = 0.02519603282416938 * n;\n n = h >>> 0;\n h -= n;\n h *= n;\n n = h >>> 0;\n h -= n;\n n += h * 0x100000000; // 2^32\n }\n return (n >>> 0) * 2.3283064365386963e-10; // 2^-32\n };\n\n return mash;\n}\n\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.alea = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n\n", "// A Javascript implementaion of the \"xor128\" prng algorithm by\n// George Marsaglia. See http://www.jstatsoft.org/v08/i14/paper\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this, strseed = '';\n\n me.x = 0;\n me.y = 0;\n me.z = 0;\n me.w = 0;\n\n // Set up generator function.\n me.next = function() {\n var t = me.x ^ (me.x << 11);\n me.x = me.y;\n me.y = me.z;\n me.z = me.w;\n return me.w ^= (me.w >>> 19) ^ t ^ (t >>> 8);\n };\n\n if (seed === (seed | 0)) {\n // Integer seed.\n me.x = seed;\n } else {\n // String seed.\n strseed += seed;\n }\n\n // Mix in string seed, then discard an initial batch of 64 values.\n for (var k = 0; k < strseed.length + 64; k++) {\n me.x ^= strseed.charCodeAt(k) | 0;\n me.next();\n }\n}\n\nfunction copy(f, t) {\n t.x = f.x;\n t.y = f.y;\n t.z = f.z;\n t.w = f.w;\n return t;\n}\n\nfunction impl(seed, opts) {\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (typeof(state) == 'object') copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.xor128 = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n\n", "// A Javascript implementaion of the \"xorwow\" prng algorithm by\n// George Marsaglia. See http://www.jstatsoft.org/v08/i14/paper\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this, strseed = '';\n\n // Set up generator function.\n me.next = function() {\n var t = (me.x ^ (me.x >>> 2));\n me.x = me.y; me.y = me.z; me.z = me.w; me.w = me.v;\n return (me.d = (me.d + 362437 | 0)) +\n (me.v = (me.v ^ (me.v << 4)) ^ (t ^ (t << 1))) | 0;\n };\n\n me.x = 0;\n me.y = 0;\n me.z = 0;\n me.w = 0;\n me.v = 0;\n\n if (seed === (seed | 0)) {\n // Integer seed.\n me.x = seed;\n } else {\n // String seed.\n strseed += seed;\n }\n\n // Mix in string seed, then discard an initial batch of 64 values.\n for (var k = 0; k < strseed.length + 64; k++) {\n me.x ^= strseed.charCodeAt(k) | 0;\n if (k == strseed.length) {\n me.d = me.x << 10 ^ me.x >>> 4;\n }\n me.next();\n }\n}\n\nfunction copy(f, t) {\n t.x = f.x;\n t.y = f.y;\n t.z = f.z;\n t.w = f.w;\n t.v = f.v;\n t.d = f.d;\n return t;\n}\n\nfunction impl(seed, opts) {\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (typeof(state) == 'object') copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.xorwow = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n\n", "// A Javascript implementaion of the \"xorshift7\" algorithm by\n// Fran\u00E7ois Panneton and Pierre L'ecuyer:\n// \"On the Xorgshift Random Number Generators\"\n// http://saluc.engr.uconn.edu/refs/crypto/rng/panneton05onthexorshift.pdf\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this;\n\n // Set up generator function.\n me.next = function() {\n // Update xor generator.\n var X = me.x, i = me.i, t, v, w;\n t = X[i]; t ^= (t >>> 7); v = t ^ (t << 24);\n t = X[(i + 1) & 7]; v ^= t ^ (t >>> 10);\n t = X[(i + 3) & 7]; v ^= t ^ (t >>> 3);\n t = X[(i + 4) & 7]; v ^= t ^ (t << 7);\n t = X[(i + 7) & 7]; t = t ^ (t << 13); v ^= t ^ (t << 9);\n X[i] = v;\n me.i = (i + 1) & 7;\n return v;\n };\n\n function init(me, seed) {\n var j, w, X = [];\n\n if (seed === (seed | 0)) {\n // Seed state array using a 32-bit integer.\n w = X[0] = seed;\n } else {\n // Seed state using a string.\n seed = '' + seed;\n for (j = 0; j < seed.length; ++j) {\n X[j & 7] = (X[j & 7] << 15) ^\n (seed.charCodeAt(j) + X[(j + 1) & 7] << 13);\n }\n }\n // Enforce an array length of 8, not all zeroes.\n while (X.length < 8) X.push(0);\n for (j = 0; j < 8 && X[j] === 0; ++j);\n if (j == 8) w = X[7] = -1; else w = X[j];\n\n me.x = X;\n me.i = 0;\n\n // Discard an initial 256 values.\n for (j = 256; j > 0; --j) {\n me.next();\n }\n }\n\n init(me, seed);\n}\n\nfunction copy(f, t) {\n t.x = f.x.slice();\n t.i = f.i;\n return t;\n}\n\nfunction impl(seed, opts) {\n if (seed == null) seed = +(new Date);\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (state.x) copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.xorshift7 = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n", "// A Javascript implementaion of Richard Brent's Xorgens xor4096 algorithm.\n//\n// This fast non-cryptographic random number generator is designed for\n// use in Monte-Carlo algorithms. It combines a long-period xorshift\n// generator with a Weyl generator, and it passes all common batteries\n// of stasticial tests for randomness while consuming only a few nanoseconds\n// for each prng generated. For background on the generator, see Brent's\n// paper: \"Some long-period random number generators using shifts and xors.\"\n// http://arxiv.org/pdf/1004.3115v1.pdf\n//\n// Usage:\n//\n// var xor4096 = require('xor4096');\n// random = xor4096(1); // Seed with int32 or string.\n// assert.equal(random(), 0.1520436450538547); // (0, 1) range, 53 bits.\n// assert.equal(random.int32(), 1806534897); // signed int32, 32 bits.\n//\n// For nonzero numeric keys, this impelementation provides a sequence\n// identical to that by Brent's xorgens 3 implementaion in C. This\n// implementation also provides for initalizing the generator with\n// string seeds, or for saving and restoring the state of the generator.\n//\n// On Chrome, this prng benchmarks about 2.1 times slower than\n// Javascript's built-in Math.random().\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this;\n\n // Set up generator function.\n me.next = function() {\n var w = me.w,\n X = me.X, i = me.i, t, v;\n // Update Weyl generator.\n me.w = w = (w + 0x61c88647) | 0;\n // Update xor generator.\n v = X[(i + 34) & 127];\n t = X[i = ((i + 1) & 127)];\n v ^= v << 13;\n t ^= t << 17;\n v ^= v >>> 15;\n t ^= t >>> 12;\n // Update Xor generator array state.\n v = X[i] = v ^ t;\n me.i = i;\n // Result is the combination.\n return (v + (w ^ (w >>> 16))) | 0;\n };\n\n function init(me, seed) {\n var t, v, i, j, w, X = [], limit = 128;\n if (seed === (seed | 0)) {\n // Numeric seeds initialize v, which is used to generates X.\n v = seed;\n seed = null;\n } else {\n // String seeds are mixed into v and X one character at a time.\n seed = seed + '\\0';\n v = 0;\n limit = Math.max(limit, seed.length);\n }\n // Initialize circular array and weyl value.\n for (i = 0, j = -32; j < limit; ++j) {\n // Put the unicode characters into the array, and shuffle them.\n if (seed) v ^= seed.charCodeAt((j + 32) % seed.length);\n // After 32 shuffles, take v as the starting w value.\n if (j === 0) w = v;\n v ^= v << 10;\n v ^= v >>> 15;\n v ^= v << 4;\n v ^= v >>> 13;\n if (j >= 0) {\n w = (w + 0x61c88647) | 0; // Weyl.\n t = (X[j & 127] ^= (v + w)); // Combine xor and weyl to init array.\n i = (0 == t) ? i + 1 : 0; // Count zeroes.\n }\n }\n // We have detected all zeroes; make the key nonzero.\n if (i >= 128) {\n X[(seed && seed.length || 0) & 127] = -1;\n }\n // Run the generator 512 times to further mix the state before using it.\n // Factoring this as a function slows the main generator, so it is just\n // unrolled here. The weyl generator is not advanced while warming up.\n i = 127;\n for (j = 4 * 128; j > 0; --j) {\n v = X[(i + 34) & 127];\n t = X[i = ((i + 1) & 127)];\n v ^= v << 13;\n t ^= t << 17;\n v ^= v >>> 15;\n t ^= t >>> 12;\n X[i] = v ^ t;\n }\n // Storing state as object members is faster than using closure variables.\n me.w = w;\n me.X = X;\n me.i = i;\n }\n\n init(me, seed);\n}\n\nfunction copy(f, t) {\n t.i = f.i;\n t.w = f.w;\n t.X = f.X.slice();\n return t;\n};\n\nfunction impl(seed, opts) {\n if (seed == null) seed = +(new Date);\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (state.X) copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.xor4096 = impl;\n}\n\n})(\n this, // window object or global\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n", "// A Javascript implementaion of the \"Tyche-i\" prng algorithm by\n// Samuel Neves and Filipe Araujo.\n// See https://eden.dei.uc.pt/~sneves/pubs/2011-snfa2.pdf\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this, strseed = '';\n\n // Set up generator function.\n me.next = function() {\n var b = me.b, c = me.c, d = me.d, a = me.a;\n b = (b << 25) ^ (b >>> 7) ^ c;\n c = (c - d) | 0;\n d = (d << 24) ^ (d >>> 8) ^ a;\n a = (a - b) | 0;\n me.b = b = (b << 20) ^ (b >>> 12) ^ c;\n me.c = c = (c - d) | 0;\n me.d = (d << 16) ^ (c >>> 16) ^ a;\n return me.a = (a - b) | 0;\n };\n\n /* The following is non-inverted tyche, which has better internal\n * bit diffusion, but which is about 25% slower than tyche-i in JS.\n me.next = function() {\n var a = me.a, b = me.b, c = me.c, d = me.d;\n a = (me.a + me.b | 0) >>> 0;\n d = me.d ^ a; d = d << 16 ^ d >>> 16;\n c = me.c + d | 0;\n b = me.b ^ c; b = b << 12 ^ d >>> 20;\n me.a = a = a + b | 0;\n d = d ^ a; me.d = d = d << 8 ^ d >>> 24;\n me.c = c = c + d | 0;\n b = b ^ c;\n return me.b = (b << 7 ^ b >>> 25);\n }\n */\n\n me.a = 0;\n me.b = 0;\n me.c = 2654435769 | 0;\n me.d = 1367130551;\n\n if (seed === Math.floor(seed)) {\n // Integer seed.\n me.a = (seed / 0x100000000) | 0;\n me.b = seed | 0;\n } else {\n // String seed.\n strseed += seed;\n }\n\n // Mix in string seed, then discard an initial batch of 64 values.\n for (var k = 0; k < strseed.length + 20; k++) {\n me.b ^= strseed.charCodeAt(k) | 0;\n me.next();\n }\n}\n\nfunction copy(f, t) {\n t.a = f.a;\n t.b = f.b;\n t.c = f.c;\n t.d = f.d;\n return t;\n};\n\nfunction impl(seed, opts) {\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (typeof(state) == 'object') copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.tychei = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n\n", "/*\nCopyright 2014 David Bau.\n\nPermission is hereby granted, free of charge, to any person obtaining\na copy of this software and associated documentation files (the\n\"Software\"), to deal in the Software without restriction, including\nwithout limitation the rights to use, copy, modify, merge, publish,\ndistribute, sublicense, and/or sell copies of the Software, and to\npermit persons to whom the Software is furnished to do so, subject to\nthe following conditions:\n\nThe above copyright notice and this permission notice shall be\nincluded in all copies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND,\nEXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF\nMERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.\nIN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY\nCLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,\nTORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE\nSOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.\n\n*/\n\n(function (pool, math) {\n//\n// The following constants are related to IEEE 754 limits.\n//\nvar global = this,\n width = 256, // each RC4 output is 0 <= x < 256\n chunks = 6, // at least six RC4 outputs for each double\n digits = 52, // there are 52 significant digits in a double\n rngname = 'random', // rngname: name for Math.random and Math.seedrandom\n startdenom = math.pow(width, chunks),\n significance = math.pow(2, digits),\n overflow = significance * 2,\n mask = width - 1,\n nodecrypto; // node.js crypto module, initialized at the bottom.\n\n//\n// seedrandom()\n// This is the seedrandom function described above.\n//\nfunction seedrandom(seed, options, callback) {\n var key = [];\n options = (options == true) ? { entropy: true } : (options || {});\n\n // Flatten the seed string or build one from local entropy if needed.\n var shortseed = mixkey(flatten(\n options.entropy ? [seed, tostring(pool)] :\n (seed == null) ? autoseed() : seed, 3), key);\n\n // Use the seed to initialize an ARC4 generator.\n var arc4 = new ARC4(key);\n\n // This function returns a random double in [0, 1) that contains\n // randomness in every bit of the mantissa of the IEEE 754 value.\n var prng = function() {\n var n = arc4.g(chunks), // Start with a numerator n < 2 ^ 48\n d = startdenom, // and denominator d = 2 ^ 48.\n x = 0; // and no 'extra last byte'.\n while (n < significance) { // Fill up all significant digits by\n n = (n + x) * width; // shifting numerator and\n d *= width; // denominator and generating a\n x = arc4.g(1); // new least-significant-byte.\n }\n while (n >= overflow) { // To avoid rounding up, before adding\n n /= 2; // last byte, shift everything\n d /= 2; // right using integer math until\n x >>>= 1; // we have exactly the desired bits.\n }\n return (n + x) / d; // Form the number within [0, 1).\n };\n\n prng.int32 = function() { return arc4.g(4) | 0; }\n prng.quick = function() { return arc4.g(4) / 0x100000000; }\n prng.double = prng;\n\n // Mix the randomness into accumulated entropy.\n mixkey(tostring(arc4.S), pool);\n\n // Calling convention: what to return as a function of prng, seed, is_math.\n return (options.pass || callback ||\n function(prng, seed, is_math_call, state) {\n if (state) {\n // Load the arc4 state from the given state if it has an S array.\n if (state.S) { copy(state, arc4); }\n // Only provide the .state method if requested via options.state.\n prng.state = function() { return copy(arc4, {}); }\n }\n\n // If called as a method of Math (Math.seedrandom()), mutate\n // Math.random because that is how seedrandom.js has worked since v1.0.\n if (is_math_call) { math[rngname] = prng; return seed; }\n\n // Otherwise, it is a newer calling convention, so return the\n // prng directly.\n else return prng;\n })(\n prng,\n shortseed,\n 'global' in options ? options.global : (this == math),\n options.state);\n}\nmath['seed' + rngname] = seedrandom;\n\n//\n// ARC4\n//\n// An ARC4 implementation. The constructor takes a key in the form of\n// an array of at most (width) integers that should be 0 <= x < (width).\n//\n// The g(count) method returns a pseudorandom integer that concatenates\n// the next (count) outputs from ARC4. Its return value is a number x\n// that is in the range 0 <= x < (width ^ count).\n//\nfunction ARC4(key) {\n var t, keylen = key.length,\n me = this, i = 0, j = me.i = me.j = 0, s = me.S = [];\n\n // The empty key [] is treated as [0].\n if (!keylen) { key = [keylen++]; }\n\n // Set up S using the standard key scheduling algorithm.\n while (i < width) {\n s[i] = i++;\n }\n for (i = 0; i < width; i++) {\n s[i] = s[j = mask & (j + key[i % keylen] + (t = s[i]))];\n s[j] = t;\n }\n\n // The \"g\" method returns the next (count) outputs as one number.\n (me.g = function(count) {\n // Using instance members instead of closure state nearly doubles speed.\n var t, r = 0,\n i = me.i, j = me.j, s = me.S;\n while (count--) {\n t = s[i = mask & (i + 1)];\n r = r * width + s[mask & ((s[i] = s[j = mask & (j + t)]) + (s[j] = t))];\n }\n me.i = i; me.j = j;\n return r;\n // For robust unpredictability, the function call below automatically\n // discards an initial batch of values. This is called RC4-drop[256].\n // See http://google.com/search?q=rsa+fluhrer+response&btnI\n })(width);\n}\n\n//\n// copy()\n// Copies internal state of ARC4 to or from a plain object.\n//\nfunction copy(f, t) {\n t.i = f.i;\n t.j = f.j;\n t.S = f.S.slice();\n return t;\n};\n\n//\n// flatten()\n// Converts an object tree to nested arrays of strings.\n//\nfunction flatten(obj, depth) {\n var result = [], typ = (typeof obj), prop;\n if (depth && typ == 'object') {\n for (prop in obj) {\n try { result.push(flatten(obj[prop], depth - 1)); } catch (e) {}\n }\n }\n return (result.length ? result : typ == 'string' ? obj : obj + '\\0');\n}\n\n//\n// mixkey()\n// Mixes a string seed into a key that is an array of integers, and\n// returns a shortened string seed that is equivalent to the result key.\n//\nfunction mixkey(seed, key) {\n var stringseed = seed + '', smear, j = 0;\n while (j < stringseed.length) {\n key[mask & j] =\n mask & ((smear ^= key[mask & j] * 19) + stringseed.charCodeAt(j++));\n }\n return tostring(key);\n}\n\n//\n// autoseed()\n// Returns an object for autoseeding, using window.crypto and Node crypto\n// module if available.\n//\nfunction autoseed() {\n try {\n var out;\n if (nodecrypto && (out = nodecrypto.randomBytes)) {\n // The use of 'out' to remember randomBytes makes tight minified code.\n out = out(width);\n } else {\n out = new Uint8Array(width);\n (global.crypto || global.msCrypto).getRandomValues(out);\n }\n return tostring(out);\n } catch (e) {\n var browser = global.navigator,\n plugins = browser && browser.plugins;\n return [+new Date, global, plugins, global.screen, tostring(pool)];\n }\n}\n\n//\n// tostring()\n// Converts an array of charcodes to a string\n//\nfunction tostring(a) {\n return String.fromCharCode.apply(0, a);\n}\n\n//\n// When seedrandom.js is loaded, we immediately mix a few bits\n// from the built-in RNG into the entropy pool. Because we do\n// not want to interfere with deterministic PRNG state later,\n// seedrandom will not call math.random on its own again after\n// initialization.\n//\nmixkey(math.random(), pool);\n\n//\n// Nodejs and AMD support: export the implementation as a module using\n// either convention.\n//\nif ((typeof module) == 'object' && module.exports) {\n module.exports = seedrandom;\n // When in node.js, try using crypto package for autoseeding.\n try {\n nodecrypto = require('crypto');\n } catch (ex) {}\n} else if ((typeof define) == 'function' && define.amd) {\n define(function() { return seedrandom; });\n}\n\n// End anonymous scope, and pass initial values.\n})(\n [], // pool: entropy pool starts empty\n Math // math: package containing random, pow, and seedrandom\n);\n", "// A library of seedable RNGs implemented in Javascript.\n//\n// Usage:\n//\n// var seedrandom = require('seedrandom');\n// var random = seedrandom(1); // or any seed.\n// var x = random(); // 0 <= x < 1. Every bit is random.\n// var x = random.quick(); // 0 <= x < 1. 32 bits of randomness.\n\n// alea, a 53-bit multiply-with-carry generator by Johannes Baag\u00F8e.\n// Period: ~2^116\n// Reported to pass all BigCrush tests.\nvar alea = require('./lib/alea');\n\n// xor128, a pure xor-shift generator by George Marsaglia.\n// Period: 2^128-1.\n// Reported to fail: MatrixRank and LinearComp.\nvar xor128 = require('./lib/xor128');\n\n// xorwow, George Marsaglia's 160-bit xor-shift combined plus weyl.\n// Period: 2^192-2^32\n// Reported to fail: CollisionOver, SimpPoker, and LinearComp.\nvar xorwow = require('./lib/xorwow');\n\n// xorshift7, by Fran\u00E7ois Panneton and Pierre L'ecuyer, takes\n// a different approach: it adds robustness by allowing more shifts\n// than Marsaglia's original three. It is a 7-shift generator\n// with 256 bits, that passes BigCrush with no systmatic failures.\n// Period 2^256-1.\n// No systematic BigCrush failures reported.\nvar xorshift7 = require('./lib/xorshift7');\n\n// xor4096, by Richard Brent, is a 4096-bit xor-shift with a\n// very long period that also adds a Weyl generator. It also passes\n// BigCrush with no systematic failures. Its long period may\n// be useful if you have many generators and need to avoid\n// collisions.\n// Period: 2^4128-2^32.\n// No systematic BigCrush failures reported.\nvar xor4096 = require('./lib/xor4096');\n\n// Tyche-i, by Samuel Neves and Filipe Araujo, is a bit-shifting random\n// number generator derived from ChaCha, a modern stream cipher.\n// https://eden.dei.uc.pt/~sneves/pubs/2011-snfa2.pdf\n// Period: ~2^127\n// No systematic BigCrush failures reported.\nvar tychei = require('./lib/tychei');\n\n// The original ARC4-based prng included in this library.\n// Period: ~2^1600\nvar sr = require('./seedrandom');\n\nsr.alea = alea;\nsr.xor128 = xor128;\nsr.xorwow = xorwow;\nsr.xorshift7 = xorshift7;\nsr.xor4096 = xor4096;\nsr.tychei = tychei;\n\nmodule.exports = sr;\n", "", "", "", "\nvar WasmBackendModuleThreadedSimd = (function() {\n var _scriptDir = typeof document !== 'undefined' && document.currentScript ? document.currentScript.src : undefined;\n if (typeof __filename !== 'undefined') _scriptDir = _scriptDir || __filename;\n return (\nfunction(WasmBackendModuleThreadedSimd) {\n WasmBackendModuleThreadedSimd = WasmBackendModuleThreadedSimd || {};\n\nfunction GROWABLE_HEAP_I8(){if(wasmMemory.buffer!=buffer){updateGlobalBufferAndViews(wasmMemory.buffer)}return HEAP8}function GROWABLE_HEAP_U8(){if(wasmMemory.buffer!=buffer){updateGlobalBufferAndViews(wasmMemory.buffer)}return HEAPU8}function GROWABLE_HEAP_I32(){if(wasmMemory.buffer!=buffer){updateGlobalBufferAndViews(wasmMemory.buffer)}return HEAP32}function GROWABLE_HEAP_U32(){if(wasmMemory.buffer!=buffer){updateGlobalBufferAndViews(wasmMemory.buffer)}return HEAPU32}function GROWABLE_HEAP_F64(){if(wasmMemory.buffer!=buffer){updateGlobalBufferAndViews(wasmMemory.buffer)}return HEAPF64}var Module=typeof WasmBackendModuleThreadedSimd!==\"undefined\"?WasmBackendModuleThreadedSimd:{};var moduleOverrides={};var key;for(key in Module){if(Module.hasOwnProperty(key)){moduleOverrides[key]=Module[key]}}var arguments_=[];var thisProgram=\"./this.program\";var quit_=function(status,toThrow){throw toThrow};var ENVIRONMENT_IS_WEB=false;var ENVIRONMENT_IS_WORKER=false;var ENVIRONMENT_IS_NODE=false;var ENVIRONMENT_IS_SHELL=false;ENVIRONMENT_IS_WEB=typeof window===\"object\";ENVIRONMENT_IS_WORKER=typeof importScripts===\"function\";ENVIRONMENT_IS_NODE=typeof process===\"object\"&&typeof process.versions===\"object\"&&typeof process.versions.node===\"string\";ENVIRONMENT_IS_SHELL=!ENVIRONMENT_IS_WEB&&!ENVIRONMENT_IS_NODE&&!ENVIRONMENT_IS_WORKER;var ENVIRONMENT_IS_PTHREAD=Module[\"ENVIRONMENT_IS_PTHREAD\"]||false;if(ENVIRONMENT_IS_PTHREAD){buffer=Module[\"buffer\"];DYNAMIC_BASE=Module[\"DYNAMIC_BASE\"];DYNAMICTOP_PTR=Module[\"DYNAMICTOP_PTR\"]}var scriptDirectory=\"\";function locateFile(path){if(Module[\"locateFile\"]){return Module[\"locateFile\"](path,scriptDirectory)}return scriptDirectory+path}var read_,readAsync,readBinary,setWindowTitle;var nodeFS;var nodePath;if(ENVIRONMENT_IS_NODE){if(ENVIRONMENT_IS_WORKER){scriptDirectory=require(\"path\").dirname(scriptDirectory)+\"/\"}else{scriptDirectory=__dirname+\"/\"}read_=function shell_read(filename,binary){if(!nodeFS)nodeFS=require(\"fs\");if(!nodePath)nodePath=require(\"path\");filename=nodePath[\"normalize\"](filename);return nodeFS[\"readFileSync\"](filename,binary?null:\"utf8\")};readBinary=function readBinary(filename){var ret=read_(filename,true);if(!ret.buffer){ret=new Uint8Array(ret)}assert(ret.buffer);return ret};if(process[\"argv\"].length>1){thisProgram=process[\"argv\"][1].replace(/\\\\/g,\"/\")}arguments_=process[\"argv\"].slice(2);process[\"on\"](\"uncaughtException\",function(ex){if(!(ex instanceof ExitStatus)){throw ex}});process[\"on\"](\"unhandledRejection\",abort);quit_=function(status){process[\"exit\"](status)};Module[\"inspect\"]=function(){return\"[Emscripten Module object]\"};var nodeWorkerThreads;try{nodeWorkerThreads=require(\"worker_threads\")}catch(e){console.error('The \"worker_threads\" module is not supported in this node.js build - perhaps a newer version is needed?');throw e}Worker=nodeWorkerThreads.Worker}else if(ENVIRONMENT_IS_SHELL){if(typeof read!=\"undefined\"){read_=function shell_read(f){return read(f)}}readBinary=function readBinary(f){var data;if(typeof readbuffer===\"function\"){return new Uint8Array(readbuffer(f))}data=read(f,\"binary\");assert(typeof data===\"object\");return data};if(typeof scriptArgs!=\"undefined\"){arguments_=scriptArgs}else if(typeof arguments!=\"undefined\"){arguments_=arguments}if(typeof quit===\"function\"){quit_=function(status){quit(status)}}if(typeof print!==\"undefined\"){if(typeof console===\"undefined\")console={};console.log=print;console.warn=console.error=typeof printErr!==\"undefined\"?printErr:print}}else if(ENVIRONMENT_IS_WEB||ENVIRONMENT_IS_WORKER){if(ENVIRONMENT_IS_WORKER){scriptDirectory=self.location.href}else if(document.currentScript){scriptDirectory=document.currentScript.src}if(typeof _scriptDir !== \"undefined\" && _scriptDir){scriptDirectory=_scriptDir}if(scriptDirectory.indexOf(\"blob:\")!==0){scriptDirectory=scriptDirectory.substr(0,scriptDirectory.lastIndexOf(\"/\")+1)}else{scriptDirectory=\"\"}if(ENVIRONMENT_IS_NODE){read_=function shell_read(filename,binary){if(!nodeFS)nodeFS=require(\"fs\");if(!nodePath)nodePath=require(\"path\");filename=nodePath[\"normalize\"](filename);return nodeFS[\"readFileSync\"](filename,binary?null:\"utf8\")};readBinary=function readBinary(filename){var ret=read_(filename,true);if(!ret.buffer){ret=new Uint8Array(ret)}assert(ret.buffer);return ret}}else{read_=function shell_read(url){var xhr=new XMLHttpRequest;xhr.open(\"GET\",url,false);xhr.send(null);return xhr.responseText};if(ENVIRONMENT_IS_WORKER){readBinary=function readBinary(url){var xhr=new XMLHttpRequest;xhr.open(\"GET\",url,false);xhr.responseType=\"arraybuffer\";xhr.send(null);return new Uint8Array(xhr.response)}}readAsync=function readAsync(url,onload,onerror){var xhr=new XMLHttpRequest;xhr.open(\"GET\",url,true);xhr.responseType=\"arraybuffer\";xhr.onload=function xhr_onload(){if(xhr.status==200||xhr.status==0&&xhr.response){onload(xhr.response);return}onerror()};xhr.onerror=onerror;xhr.send(null)}}setWindowTitle=function(title){document.title=title}}else{}if(ENVIRONMENT_IS_NODE){if(typeof performance===\"undefined\"){performance=require(\"perf_hooks\").performance}}var out=Module[\"print\"]||console.log.bind(console);var err=Module[\"printErr\"]||console.warn.bind(console);for(key in moduleOverrides){if(moduleOverrides.hasOwnProperty(key)){Module[key]=moduleOverrides[key]}}moduleOverrides=null;if(Module[\"arguments\"])arguments_=Module[\"arguments\"];if(Module[\"thisProgram\"])thisProgram=Module[\"thisProgram\"];if(Module[\"quit\"])quit_=Module[\"quit\"];var Atomics_load=Atomics.load;var Atomics_store=Atomics.store;var Atomics_compareExchange=Atomics.compareExchange;var wasmBinary;if(Module[\"wasmBinary\"])wasmBinary=Module[\"wasmBinary\"];var noExitRuntime;if(Module[\"noExitRuntime\"])noExitRuntime=Module[\"noExitRuntime\"];if(typeof WebAssembly!==\"object\"){err(\"no native wasm support detected\")}var wasmMemory;var wasmTable=new WebAssembly.Table({\"initial\":171,\"maximum\":171+0,\"element\":\"anyfunc\"});var wasmModule;var threadInfoStruct=0;var selfThreadId=0;var ABORT=false;var EXITSTATUS=0;function assert(condition,text){if(!condition){abort(\"Assertion failed: \"+text)}}function getCFunc(ident){var func=Module[\"_\"+ident];assert(func,\"Cannot call unknown function \"+ident+\", make sure it is exported\");return func}function ccall(ident,returnType,argTypes,args,opts){var toC={\"string\":function(str){var ret=0;if(str!==null&&str!==undefined&&str!==0){var len=(str.length<<2)+1;ret=stackAlloc(len);stringToUTF8(str,ret,len)}return ret},\"array\":function(arr){var ret=stackAlloc(arr.length);writeArrayToMemory(arr,ret);return ret}};function convertReturnValue(ret){if(returnType===\"string\")return UTF8ToString(ret);if(returnType===\"boolean\")return Boolean(ret);return ret}var func=getCFunc(ident);var cArgs=[];var stack=0;if(args){for(var i=0;i=endIdx)){var u0=heap[idx++];if(!u0)return str;if(!(u0&128)){str+=String.fromCharCode(u0);continue}var u1=heap[idx++]&63;if((u0&224)==192){str+=String.fromCharCode((u0&31)<<6|u1);continue}var u2=heap[idx++]&63;if((u0&240)==224){u0=(u0&15)<<12|u1<<6|u2}else{u0=(u0&7)<<18|u1<<12|u2<<6|heap[idx++]&63}if(u0<65536){str+=String.fromCharCode(u0)}else{var ch=u0-65536;str+=String.fromCharCode(55296|ch>>10,56320|ch&1023)}}return str}function UTF8ToString(ptr,maxBytesToRead){return ptr?UTF8ArrayToString(GROWABLE_HEAP_U8(),ptr,maxBytesToRead):\"\"}function stringToUTF8Array(str,heap,outIdx,maxBytesToWrite){if(!(maxBytesToWrite>0))return 0;var startIdx=outIdx;var 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alignUp(x,multiple){if(x%multiple>0){x+=multiple-x%multiple}return x}var buffer,HEAP8,HEAPU8,HEAP16,HEAPU16,HEAP32,HEAPU32,HEAPF32,HEAPF64;function updateGlobalBufferAndViews(buf){buffer=buf;Module[\"HEAP8\"]=HEAP8=new Int8Array(buf);Module[\"HEAP16\"]=HEAP16=new Int16Array(buf);Module[\"HEAP32\"]=HEAP32=new Int32Array(buf);Module[\"HEAPU8\"]=HEAPU8=new Uint8Array(buf);Module[\"HEAPU16\"]=HEAPU16=new Uint16Array(buf);Module[\"HEAPU32\"]=HEAPU32=new Uint32Array(buf);Module[\"HEAPF32\"]=HEAPF32=new Float32Array(buf);Module[\"HEAPF64\"]=HEAPF64=new Float64Array(buf)}var STACK_BASE=5256464,STACKTOP=STACK_BASE,STACK_MAX=13584,DYNAMIC_BASE=5256464,DYNAMICTOP_PTR=12656;if(ENVIRONMENT_IS_PTHREAD){}var INITIAL_INITIAL_MEMORY=Module[\"INITIAL_MEMORY\"]||16777216;if(ENVIRONMENT_IS_PTHREAD){wasmMemory=Module[\"wasmMemory\"];buffer=Module[\"buffer\"]}else{if(Module[\"wasmMemory\"]){wasmMemory=Module[\"wasmMemory\"]}else{wasmMemory=new WebAssembly.Memory({\"initial\":INITIAL_INITIAL_MEMORY/WASM_PAGE_SIZE,\"maximum\":2147483648/WASM_PAGE_SIZE,\"shared\":true});if(!(wasmMemory.buffer instanceof SharedArrayBuffer)){err(\"requested a shared WebAssembly.Memory but the returned buffer is not a SharedArrayBuffer, indicating that while the browser has SharedArrayBuffer it does not have WebAssembly threads support - you may need to set a flag\");if(ENVIRONMENT_IS_NODE){console.log(\"(on node you may need: --experimental-wasm-threads --experimental-wasm-bulk-memory and also use a recent version)\")}throw Error(\"bad memory\")}}}if(wasmMemory){buffer=wasmMemory.buffer}INITIAL_INITIAL_MEMORY=buffer.byteLength;updateGlobalBufferAndViews(buffer);if(!ENVIRONMENT_IS_PTHREAD){GROWABLE_HEAP_I32()[DYNAMICTOP_PTR>>2]=DYNAMIC_BASE}function callRuntimeCallbacks(callbacks){while(callbacks.length>0){var callback=callbacks.shift();if(typeof callback==\"function\"){callback(Module);continue}var func=callback.func;if(typeof func===\"number\"){if(callback.arg===undefined){Module[\"dynCall_v\"](func)}else{Module[\"dynCall_vi\"](func,callback.arg)}}else{func(callback.arg===undefined?null:callback.arg)}}}var __ATPRERUN__=[];var __ATINIT__=[];var __ATMAIN__=[];var __ATEXIT__=[];var __ATPOSTRUN__=[];var runtimeInitialized=false;if(ENVIRONMENT_IS_PTHREAD)runtimeInitialized=true;function preRun(){if(ENVIRONMENT_IS_PTHREAD)return;if(Module[\"preRun\"]){if(typeof Module[\"preRun\"]==\"function\")Module[\"preRun\"]=[Module[\"preRun\"]];while(Module[\"preRun\"].length){addOnPreRun(Module[\"preRun\"].shift())}}callRuntimeCallbacks(__ATPRERUN__)}function initRuntime(){runtimeInitialized=true;callRuntimeCallbacks(__ATINIT__)}function preMain(){if(ENVIRONMENT_IS_PTHREAD)return;callRuntimeCallbacks(__ATMAIN__)}function postRun(){if(ENVIRONMENT_IS_PTHREAD)return;if(Module[\"postRun\"]){if(typeof Module[\"postRun\"]==\"function\")Module[\"postRun\"]=[Module[\"postRun\"]];while(Module[\"postRun\"].length){addOnPostRun(Module[\"postRun\"].shift())}}callRuntimeCallbacks(__ATPOSTRUN__)}function addOnPreRun(cb){__ATPRERUN__.unshift(cb)}function addOnPostRun(cb){__ATPOSTRUN__.unshift(cb)}var Math_ceil=Math.ceil;var Math_floor=Math.floor;var runDependencies=0;var runDependencyWatcher=null;var dependenciesFulfilled=null;function addRunDependency(id){assert(!ENVIRONMENT_IS_PTHREAD,\"addRunDependency cannot be used in a pthread worker\");runDependencies++;if(Module[\"monitorRunDependencies\"]){Module[\"monitorRunDependencies\"](runDependencies)}}function removeRunDependency(id){runDependencies--;if(Module[\"monitorRunDependencies\"]){Module[\"monitorRunDependencies\"](runDependencies)}if(runDependencies==0){if(runDependencyWatcher!==null){clearInterval(runDependencyWatcher);runDependencyWatcher=null}if(dependenciesFulfilled){var callback=dependenciesFulfilled;dependenciesFulfilled=null;callback()}}}Module[\"preloadedImages\"]={};Module[\"preloadedAudios\"]={};function abort(what){if(Module[\"onAbort\"]){Module[\"onAbort\"](what)}if(ENVIRONMENT_IS_PTHREAD)console.error(\"Pthread aborting at \"+(new Error).stack);what+=\"\";out(what);err(what);ABORT=true;EXITSTATUS=1;what=\"abort(\"+what+\"). Build with -s ASSERTIONS=1 for more info.\";throw new WebAssembly.RuntimeError(what)}function hasPrefix(str,prefix){return String.prototype.startsWith?str.startsWith(prefix):str.indexOf(prefix)===0}var dataURIPrefix=\"data:application/octet-stream;base64,\";function isDataURI(filename){return hasPrefix(filename,dataURIPrefix)}var fileURIPrefix=\"file://\";function isFileURI(filename){return hasPrefix(filename,fileURIPrefix)}var wasmBinaryFile=\"tfjs-backend-wasm-threaded-simd.wasm\";if(!isDataURI(wasmBinaryFile)){wasmBinaryFile=locateFile(wasmBinaryFile)}function getBinary(){try{if(wasmBinary){return new Uint8Array(wasmBinary)}if(readBinary){return readBinary(wasmBinaryFile)}else{throw\"both async and sync fetching of the wasm failed\"}}catch(err){abort(err)}}function getBinaryPromise(){if(!wasmBinary&&(ENVIRONMENT_IS_WEB||ENVIRONMENT_IS_WORKER)&&typeof fetch===\"function\"&&!isFileURI(wasmBinaryFile)){return fetch(wasmBinaryFile,{credentials:\"same-origin\"}).then(function(response){if(!response[\"ok\"]){throw\"failed to load wasm binary file at '\"+wasmBinaryFile+\"'\"}return response[\"arrayBuffer\"]()}).catch(function(){return getBinary()})}return new Promise(function(resolve,reject){resolve(getBinary())})}function createWasm(){var info={\"a\":asmLibraryArg};function receiveInstance(instance,module){var exports=instance.exports;Module[\"asm\"]=exports;wasmModule=module;if(!ENVIRONMENT_IS_PTHREAD){var numWorkersToLoad=PThread.unusedWorkers.length;PThread.unusedWorkers.forEach(function(w){PThread.loadWasmModuleToWorker(w,function(){if(!--numWorkersToLoad)removeRunDependency(\"wasm-instantiate\")})})}}if(!ENVIRONMENT_IS_PTHREAD){addRunDependency(\"wasm-instantiate\")}function receiveInstantiatedSource(output){receiveInstance(output[\"instance\"],output[\"module\"])}function instantiateArrayBuffer(receiver){return getBinaryPromise().then(function(binary){return WebAssembly.instantiate(binary,info)}).then(receiver,function(reason){err(\"failed to asynchronously prepare wasm: \"+reason);abort(reason)})}function instantiateAsync(){if(!wasmBinary&&typeof WebAssembly.instantiateStreaming===\"function\"&&!isDataURI(wasmBinaryFile)&&!isFileURI(wasmBinaryFile)&&typeof fetch===\"function\"){fetch(wasmBinaryFile,{credentials:\"same-origin\"}).then(function(response){var result=WebAssembly.instantiateStreaming(response,info);return result.then(receiveInstantiatedSource,function(reason){err(\"wasm streaming compile failed: \"+reason);err(\"falling back to ArrayBuffer instantiation\");instantiateArrayBuffer(receiveInstantiatedSource)})})}else{return instantiateArrayBuffer(receiveInstantiatedSource)}}if(Module[\"instantiateWasm\"]){try{var exports=Module[\"instantiateWasm\"](info,receiveInstance);return exports}catch(e){err(\"Module.instantiateWasm callback failed with error: \"+e);return false}}instantiateAsync();return{}}var ASM_CONSTS={};function initPthreadsJS(){PThread.initRuntime()}if(!ENVIRONMENT_IS_PTHREAD)__ATINIT__.push({func:function(){___wasm_call_ctors()}});var __pthread_ptr=0;var __pthread_is_main_runtime_thread=0;var __pthread_is_main_browser_thread=0;function __register_pthread_ptr(pthreadPtr,isMainBrowserThread,isMainRuntimeThread){pthreadPtr=pthreadPtr|0;isMainBrowserThread=isMainBrowserThread|0;isMainRuntimeThread=isMainRuntimeThread|0;__pthread_ptr=pthreadPtr;__pthread_is_main_browser_thread=isMainBrowserThread;__pthread_is_main_runtime_thread=isMainRuntimeThread}Module[\"__register_pthread_ptr\"]=__register_pthread_ptr;var ERRNO_CODES={EPERM:63,ENOENT:44,ESRCH:71,EINTR:27,EIO:29,ENXIO:60,E2BIG:1,ENOEXEC:45,EBADF:8,ECHILD:12,EAGAIN:6,EWOULDBLOCK:6,ENOMEM:48,EACCES:2,EFAULT:21,ENOTBLK:105,EBUSY:10,EEXIST:20,EXDEV:75,ENODEV:43,ENOTDIR:54,EISDIR:31,EINVAL:28,ENFILE:41,EMFILE:33,ENOTTY:59,ETXTBSY:74,EFBIG:22,ENOSPC:51,ESPIPE:70,EROFS:69,EMLINK:34,EPIPE:64,EDOM:18,ERANGE:68,ENOMSG:49,EIDRM:24,ECHRNG:106,EL2NSYNC:156,EL3HLT:107,EL3RST:108,ELNRNG:109,EUNATCH:110,ENOCSI:111,EL2HLT:112,EDEADLK:16,ENOLCK:46,EBADE:113,EBADR:114,EXFULL:115,ENOANO:104,EBADRQC:103,EBADSLT:102,EDEADLOCK:16,EBFONT:101,ENOSTR:100,ENODATA:116,ETIME:117,ENOSR:118,ENONET:119,ENOPKG:120,EREMOTE:121,ENOLINK:47,EADV:122,ESRMNT:123,ECOMM:124,EPROTO:65,EMULTIHOP:36,EDOTDOT:125,EBADMSG:9,ENOTUNIQ:126,EBADFD:127,EREMCHG:128,ELIBACC:129,ELIBBAD:130,ELIBSCN:131,ELIBMAX:132,ELIBEXEC:133,ENOSYS:52,ENOTEMPTY:55,ENAMETOOLONG:37,ELOOP:32,EOPNOTSUPP:138,EPFNOSUPPORT:139,ECONNRESET:15,ENOBUFS:42,EAFNOSUPPORT:5,EPROTOTYPE:67,ENOTSOCK:57,ENOPROTOOPT:50,ESHUTDOWN:140,ECONNREFUSED:14,EADDRINUSE:3,ECONNABORTED:13,ENETUNREACH:40,ENETDOWN:38,ETIMEDOUT:73,EHOSTDOWN:142,EHOSTUNREACH:23,EINPROGRESS:26,EALREADY:7,EDESTADDRREQ:17,EMSGSIZE:35,EPROTONOSUPPORT:66,ESOCKTNOSUPPORT:137,EADDRNOTAVAIL:4,ENETRESET:39,EISCONN:30,ENOTCONN:53,ETOOMANYREFS:141,EUSERS:136,EDQUOT:19,ESTALE:72,ENOTSUP:138,ENOMEDIUM:148,EILSEQ:25,EOVERFLOW:61,ECANCELED:11,ENOTRECOVERABLE:56,EOWNERDEAD:62,ESTRPIPE:135};var __main_thread_futex_wait_address=13568;function _emscripten_futex_wake(addr,count){if(addr<=0||addr>GROWABLE_HEAP_I8().length||addr&3!=0||count<0)return-28;if(count==0)return 0;if(count>=2147483647)count=Infinity;var mainThreadWaitAddress=Atomics.load(GROWABLE_HEAP_I32(),__main_thread_futex_wait_address>>2);var mainThreadWoken=0;if(mainThreadWaitAddress==addr){var loadedAddr=Atomics.compareExchange(GROWABLE_HEAP_I32(),__main_thread_futex_wait_address>>2,mainThreadWaitAddress,0);if(loadedAddr==mainThreadWaitAddress){--count;mainThreadWoken=1;if(count<=0)return 1}}var ret=Atomics.notify(GROWABLE_HEAP_I32(),addr>>2,count);if(ret>=0)return ret+mainThreadWoken;throw\"Atomics.notify returned an unexpected value \"+ret}Module[\"_emscripten_futex_wake\"]=_emscripten_futex_wake;function __kill_thread(pthread_ptr){if(ENVIRONMENT_IS_PTHREAD)throw\"Internal Error! _kill_thread() can only ever be called from main application thread!\";if(!pthread_ptr)throw\"Internal Error! Null pthread_ptr in _kill_thread!\";GROWABLE_HEAP_I32()[pthread_ptr+12>>2]=0;var pthread=PThread.pthreads[pthread_ptr];pthread.worker.terminate();PThread.freeThreadData(pthread);PThread.runningWorkers.splice(PThread.runningWorkers.indexOf(pthread.worker),1);pthread.worker.pthread=undefined}function __cancel_thread(pthread_ptr){if(ENVIRONMENT_IS_PTHREAD)throw\"Internal Error! _cancel_thread() can only ever be called from main application thread!\";if(!pthread_ptr)throw\"Internal Error! Null pthread_ptr in _cancel_thread!\";var pthread=PThread.pthreads[pthread_ptr];pthread.worker.postMessage({\"cmd\":\"cancel\"})}function __cleanup_thread(pthread_ptr){if(ENVIRONMENT_IS_PTHREAD)throw\"Internal Error! _cleanup_thread() can only ever be called from main application thread!\";if(!pthread_ptr)throw\"Internal Error! Null pthread_ptr in _cleanup_thread!\";GROWABLE_HEAP_I32()[pthread_ptr+12>>2]=0;var pthread=PThread.pthreads[pthread_ptr];if(pthread){var worker=pthread.worker;PThread.returnWorkerToPool(worker)}}var PThread={MAIN_THREAD_ID:1,mainThreadInfo:{schedPolicy:0,schedPrio:0},unusedWorkers:[],runningWorkers:[],initRuntime:function(){__register_pthread_ptr(PThread.mainThreadBlock,!ENVIRONMENT_IS_WORKER,1);_emscripten_register_main_browser_thread_id(PThread.mainThreadBlock)},initMainThreadBlock:function(){var pthreadPoolSize=8;for(var i=0;i>2]=PThread.mainThreadBlock;var headPtr=PThread.mainThreadBlock+156;GROWABLE_HEAP_I32()[headPtr>>2]=headPtr;var tlsMemory=13056;for(var i=0;i<128;++i)GROWABLE_HEAP_U32()[tlsMemory/4+i]=0;Atomics.store(GROWABLE_HEAP_U32(),PThread.mainThreadBlock+104>>2,tlsMemory);Atomics.store(GROWABLE_HEAP_U32(),PThread.mainThreadBlock+40>>2,PThread.mainThreadBlock);Atomics.store(GROWABLE_HEAP_U32(),PThread.mainThreadBlock+44>>2,42)},initWorker:function(){},pthreads:{},exitHandlers:null,setThreadStatus:function(){},runExitHandlers:function(){if(PThread.exitHandlers!==null){while(PThread.exitHandlers.length>0){PThread.exitHandlers.pop()()}PThread.exitHandlers=null}if(ENVIRONMENT_IS_PTHREAD&&threadInfoStruct)___pthread_tsd_run_dtors()},threadExit:function(exitCode){var tb=_pthread_self();if(tb){Atomics.store(GROWABLE_HEAP_U32(),tb+4>>2,exitCode);Atomics.store(GROWABLE_HEAP_U32(),tb+0>>2,1);Atomics.store(GROWABLE_HEAP_U32(),tb+60>>2,1);Atomics.store(GROWABLE_HEAP_U32(),tb+64>>2,0);PThread.runExitHandlers();_emscripten_futex_wake(tb+0,2147483647);__register_pthread_ptr(0,0,0);threadInfoStruct=0;if(ENVIRONMENT_IS_PTHREAD){postMessage({\"cmd\":\"exit\"})}}},threadCancel:function(){PThread.runExitHandlers();Atomics.store(GROWABLE_HEAP_U32(),threadInfoStruct+4>>2,-1);Atomics.store(GROWABLE_HEAP_U32(),threadInfoStruct+0>>2,1);_emscripten_futex_wake(threadInfoStruct+0,2147483647);threadInfoStruct=selfThreadId=0;__register_pthread_ptr(0,0,0);postMessage({\"cmd\":\"cancelDone\"})},terminateAllThreads:function(){for(var t in PThread.pthreads){var pthread=PThread.pthreads[t];if(pthread&&pthread.worker){PThread.returnWorkerToPool(pthread.worker)}}PThread.pthreads={};for(var i=0;i>2];GROWABLE_HEAP_I32()[pthread.threadInfoStruct+104>>2]=0;_free(tlsMemory);_free(pthread.threadInfoStruct)}pthread.threadInfoStruct=0;if(pthread.allocatedOwnStack&&pthread.stackBase)_free(pthread.stackBase);pthread.stackBase=0;if(pthread.worker)pthread.worker.pthread=null},returnWorkerToPool:function(worker){delete PThread.pthreads[worker.pthread.thread];PThread.unusedWorkers.push(worker);PThread.runningWorkers.splice(PThread.runningWorkers.indexOf(worker),1);PThread.freeThreadData(worker.pthread);worker.pthread=undefined},receiveObjectTransfer:function(data){},loadWasmModuleToWorker:function(worker,onFinishedLoading){worker.onmessage=function(e){var d=e[\"data\"];var cmd=d[\"cmd\"];if(worker.pthread)PThread.currentProxiedOperationCallerThread=worker.pthread.threadInfoStruct;if(d[\"targetThread\"]&&d[\"targetThread\"]!=_pthread_self()){var thread=PThread.pthreads[d.targetThread];if(thread){thread.worker.postMessage(e.data,d[\"transferList\"])}else{console.error('Internal error! Worker sent a message \"'+cmd+'\" to target pthread '+d[\"targetThread\"]+\", but that thread no longer exists!\")}PThread.currentProxiedOperationCallerThread=undefined;return}if(cmd===\"processQueuedMainThreadWork\"){_emscripten_main_thread_process_queued_calls()}else if(cmd===\"spawnThread\"){__spawn_thread(e.data)}else if(cmd===\"cleanupThread\"){__cleanup_thread(d[\"thread\"])}else if(cmd===\"killThread\"){__kill_thread(d[\"thread\"])}else if(cmd===\"cancelThread\"){__cancel_thread(d[\"thread\"])}else if(cmd===\"loaded\"){worker.loaded=true;if(onFinishedLoading)onFinishedLoading(worker);if(worker.runPthread){worker.runPthread();delete worker.runPthread}}else if(cmd===\"print\"){out(\"Thread \"+d[\"threadId\"]+\": \"+d[\"text\"])}else if(cmd===\"printErr\"){err(\"Thread \"+d[\"threadId\"]+\": \"+d[\"text\"])}else if(cmd===\"alert\"){alert(\"Thread \"+d[\"threadId\"]+\": \"+d[\"text\"])}else if(cmd===\"exit\"){var detached=worker.pthread&&Atomics.load(GROWABLE_HEAP_U32(),worker.pthread.thread+68>>2);if(detached){PThread.returnWorkerToPool(worker)}}else if(cmd===\"cancelDone\"){PThread.returnWorkerToPool(worker)}else if(cmd===\"objectTransfer\"){PThread.receiveObjectTransfer(e.data)}else if(e.data.target===\"setimmediate\"){worker.postMessage(e.data)}else{err(\"worker sent an unknown command \"+cmd)}PThread.currentProxiedOperationCallerThread=undefined};worker.onerror=function(e){err(\"pthread sent an error! \"+e.filename+\":\"+e.lineno+\": \"+e.message)};if(ENVIRONMENT_IS_NODE){worker.on(\"message\",function(data){worker.onmessage({data:data})});worker.on(\"error\",function(data){worker.onerror(data)});worker.on(\"exit\",function(data){console.log(\"worker exited - TODO: update the worker queue?\")})}worker.postMessage({\"cmd\":\"load\",\"urlOrBlob\":Module[\"mainScriptUrlOrBlob\"]||_scriptDir,\"wasmMemory\":wasmMemory,\"wasmModule\":wasmModule,\"DYNAMIC_BASE\":DYNAMIC_BASE,\"DYNAMICTOP_PTR\":DYNAMICTOP_PTR})},allocateUnusedWorker:function(){var pthreadMainJs=locateFile(\"tfjs-backend-wasm-threaded-simd.worker.js\");PThread.unusedWorkers.push(new Worker(pthreadMainJs))},getNewWorker:function(){if(PThread.unusedWorkers.length==0){PThread.allocateUnusedWorker();PThread.loadWasmModuleToWorker(PThread.unusedWorkers[0])}if(PThread.unusedWorkers.length>0)return PThread.unusedWorkers.pop();else return null},busySpinWait:function(msecs){var t=performance.now()+msecs;while(performance.now()>2]=value;return value}function _atexit(func,arg){if(ENVIRONMENT_IS_PTHREAD)return _emscripten_proxy_to_main_thread_js(1,1,func,arg);__ATEXIT__.unshift({func:func,arg:arg})}function __emscripten_notify_thread_queue(targetThreadId,mainThreadId){if(targetThreadId==mainThreadId){postMessage({\"cmd\":\"processQueuedMainThreadWork\"})}else if(ENVIRONMENT_IS_PTHREAD){postMessage({\"targetThread\":targetThreadId,\"cmd\":\"processThreadQueue\"})}else{var pthread=PThread.pthreads[targetThreadId];var worker=pthread&&pthread.worker;if(!worker){return}worker.postMessage({\"cmd\":\"processThreadQueue\"})}return 1}function _abort(){abort()}function _emscripten_conditional_set_current_thread_status(expectedStatus,newStatus){expectedStatus=expectedStatus|0;newStatus=newStatus|0}function _emscripten_futex_wait(addr,val,timeout){if(addr<=0||addr>GROWABLE_HEAP_I8().length||addr&3!=0)return-28;if(ENVIRONMENT_IS_WORKER){var ret=Atomics.wait(GROWABLE_HEAP_I32(),addr>>2,val,timeout);if(ret===\"timed-out\")return-73;if(ret===\"not-equal\")return-6;if(ret===\"ok\")return 0;throw\"Atomics.wait returned an unexpected value \"+ret}else{var loadedVal=Atomics.load(GROWABLE_HEAP_I32(),addr>>2);if(val!=loadedVal)return-6;var tNow=performance.now();var tEnd=tNow+timeout;Atomics.store(GROWABLE_HEAP_I32(),__main_thread_futex_wait_address>>2,addr);var ourWaitAddress=addr;while(addr==ourWaitAddress){tNow=performance.now();if(tNow>tEnd){return-73}_emscripten_main_thread_process_queued_calls();addr=Atomics.load(GROWABLE_HEAP_I32(),__main_thread_futex_wait_address>>2)}return 0}}function _emscripten_is_main_browser_thread(){return __pthread_is_main_browser_thread|0}function _emscripten_is_main_runtime_thread(){return __pthread_is_main_runtime_thread|0}function _emscripten_memcpy_big(dest,src,num){GROWABLE_HEAP_U8().copyWithin(dest,src,src+num)}function _emscripten_num_logical_cores(){return navigator[\"hardwareConcurrency\"]}function _emscripten_proxy_to_main_thread_js(index,sync){var numCallArgs=arguments.length-2;var stack=stackSave();var args=stackAlloc(numCallArgs*8);var b=args>>3;for(var i=0;i>3]);buf+=8}else{buf=buf+3&~3;args.push(GROWABLE_HEAP_I32()[buf>>2]);buf+=4}}return args}function _emscripten_receive_on_main_thread_js(index,numCallArgs,args){_emscripten_receive_on_main_thread_js_callArgs.length=numCallArgs;var b=args>>3;for(var i=0;i>>16);updateGlobalBufferAndViews(wasmMemory.buffer);return 1}catch(e){}}function _emscripten_resize_heap(requestedSize){requestedSize=requestedSize>>>0;var oldSize=_emscripten_get_heap_size();if(requestedSize<=oldSize){return false}var PAGE_MULTIPLE=65536;var maxHeapSize=2147483648;if(requestedSize>maxHeapSize){return false}var minHeapSize=16777216;for(var cutDown=1;cutDown<=4;cutDown*=2){var overGrownHeapSize=oldSize*(1+.2/cutDown);overGrownHeapSize=Math.min(overGrownHeapSize,requestedSize+100663296);var newSize=Math.min(maxHeapSize,alignUp(Math.max(minHeapSize,requestedSize,overGrownHeapSize),PAGE_MULTIPLE));var replacement=emscripten_realloc_buffer(newSize);if(replacement){return true}}return false}var JSEvents={keyEvent:0,mouseEvent:0,wheelEvent:0,uiEvent:0,focusEvent:0,deviceOrientationEvent:0,deviceMotionEvent:0,fullscreenChangeEvent:0,pointerlockChangeEvent:0,visibilityChangeEvent:0,touchEvent:0,previousFullscreenElement:null,previousScreenX:null,previousScreenY:null,removeEventListenersRegistered:false,removeAllEventListeners:function(){for(var i=JSEvents.eventHandlers.length-1;i>=0;--i){JSEvents._removeHandler(i)}JSEvents.eventHandlers=[];JSEvents.deferredCalls=[]},registerRemoveEventListeners:function(){if(!JSEvents.removeEventListenersRegistered){__ATEXIT__.push(JSEvents.removeAllEventListeners);JSEvents.removeEventListenersRegistered=true}},deferredCalls:[],deferCall:function(targetFunction,precedence,argsList){function arraysHaveEqualContent(arrA,arrB){if(arrA.length!=arrB.length)return false;for(var i in arrA){if(arrA[i]!=arrB[i])return false}return true}for(var i in JSEvents.deferredCalls){var call=JSEvents.deferredCalls[i];if(call.targetFunction==targetFunction&&arraysHaveEqualContent(call.argsList,argsList)){return}}JSEvents.deferredCalls.push({targetFunction:targetFunction,precedence:precedence,argsList:argsList});JSEvents.deferredCalls.sort(function(x,y){return x.precedence>2]=eventTypeId;GROWABLE_HEAP_I32()[varargs+4>>2]=eventData;GROWABLE_HEAP_I32()[varargs+8>>2]=userData;_emscripten_async_queue_on_thread_(targetThread,637534208,eventHandlerFunc,eventData,varargs);stackRestore(stackTop)},getTargetThreadForEventCallback:function(targetThread){switch(targetThread){case 1:return 0;case 2:return PThread.currentProxiedOperationCallerThread;default:return targetThread}},getNodeNameForTarget:function(target){if(!target)return\"\";if(target==window)return\"#window\";if(target==screen)return\"#screen\";return target&&target.nodeName?target.nodeName:\"\"},fullscreenEnabled:function(){return document.fullscreenEnabled||document.webkitFullscreenEnabled}};function stringToNewUTF8(jsString){var length=lengthBytesUTF8(jsString)+1;var cString=_malloc(length);stringToUTF8(jsString,cString,length);return cString}function _emscripten_set_offscreencanvas_size_on_target_thread_js(targetThread,targetCanvas,width,height){var stackTop=stackSave();var varargs=stackAlloc(12);var targetCanvasPtr=0;if(targetCanvas){targetCanvasPtr=stringToNewUTF8(targetCanvas)}GROWABLE_HEAP_I32()[varargs>>2]=targetCanvasPtr;GROWABLE_HEAP_I32()[varargs+4>>2]=width;GROWABLE_HEAP_I32()[varargs+8>>2]=height;_emscripten_async_queue_on_thread_(targetThread,657457152,0,targetCanvasPtr,varargs);stackRestore(stackTop)}function _emscripten_set_offscreencanvas_size_on_target_thread(targetThread,targetCanvas,width,height){targetCanvas=targetCanvas?UTF8ToString(targetCanvas):\"\";_emscripten_set_offscreencanvas_size_on_target_thread_js(targetThread,targetCanvas,width,height)}function __maybeCStringToJsString(cString){return cString>2?UTF8ToString(cString):cString}var specialHTMLTargets=[0,typeof document!==\"undefined\"?document:0,typeof window!==\"undefined\"?window:0];function __findEventTarget(target){target=__maybeCStringToJsString(target);var domElement=specialHTMLTargets[target]||(typeof document!==\"undefined\"?document.querySelector(target):undefined);return domElement}function __findCanvasEventTarget(target){return __findEventTarget(target)}function _emscripten_set_canvas_element_size_calling_thread(target,width,height){var canvas=__findCanvasEventTarget(target);if(!canvas)return-4;if(canvas.canvasSharedPtr){GROWABLE_HEAP_I32()[canvas.canvasSharedPtr>>2]=width;GROWABLE_HEAP_I32()[canvas.canvasSharedPtr+4>>2]=height}if(canvas.offscreenCanvas||!canvas.controlTransferredOffscreen){if(canvas.offscreenCanvas)canvas=canvas.offscreenCanvas;var autoResizeViewport=false;if(canvas.GLctxObject&&canvas.GLctxObject.GLctx){var prevViewport=canvas.GLctxObject.GLctx.getParameter(2978);autoResizeViewport=prevViewport[0]===0&&prevViewport[1]===0&&prevViewport[2]===canvas.width&&prevViewport[3]===canvas.height}canvas.width=width;canvas.height=height;if(autoResizeViewport){canvas.GLctxObject.GLctx.viewport(0,0,width,height)}}else if(canvas.canvasSharedPtr){var targetThread=GROWABLE_HEAP_I32()[canvas.canvasSharedPtr+8>>2];_emscripten_set_offscreencanvas_size_on_target_thread(targetThread,target,width,height);return 1}else{return-4}return 0}function _emscripten_set_canvas_element_size_main_thread(target,width,height){if(ENVIRONMENT_IS_PTHREAD)return _emscripten_proxy_to_main_thread_js(2,1,target,width,height);return _emscripten_set_canvas_element_size_calling_thread(target,width,height)}function _emscripten_set_canvas_element_size(target,width,height){var canvas=__findCanvasEventTarget(target);if(canvas){return _emscripten_set_canvas_element_size_calling_thread(target,width,height)}else{return _emscripten_set_canvas_element_size_main_thread(target,width,height)}}function _emscripten_set_current_thread_status(newStatus){newStatus=newStatus|0}function _emscripten_set_thread_name(threadId,name){threadId=threadId|0;name=name|0}function __webgl_enable_ANGLE_instanced_arrays(ctx){var ext=ctx.getExtension(\"ANGLE_instanced_arrays\");if(ext){ctx[\"vertexAttribDivisor\"]=function(index,divisor){ext[\"vertexAttribDivisorANGLE\"](index,divisor)};ctx[\"drawArraysInstanced\"]=function(mode,first,count,primcount){ext[\"drawArraysInstancedANGLE\"](mode,first,count,primcount)};ctx[\"drawElementsInstanced\"]=function(mode,count,type,indices,primcount){ext[\"drawElementsInstancedANGLE\"](mode,count,type,indices,primcount)};return 1}}function __webgl_enable_OES_vertex_array_object(ctx){var ext=ctx.getExtension(\"OES_vertex_array_object\");if(ext){ctx[\"createVertexArray\"]=function(){return ext[\"createVertexArrayOES\"]()};ctx[\"deleteVertexArray\"]=function(vao){ext[\"deleteVertexArrayOES\"](vao)};ctx[\"bindVertexArray\"]=function(vao){ext[\"bindVertexArrayOES\"](vao)};ctx[\"isVertexArray\"]=function(vao){return ext[\"isVertexArrayOES\"](vao)};return 1}}function __webgl_enable_WEBGL_draw_buffers(ctx){var ext=ctx.getExtension(\"WEBGL_draw_buffers\");if(ext){ctx[\"drawBuffers\"]=function(n,bufs){ext[\"drawBuffersWEBGL\"](n,bufs)};return 1}}var GL={counter:1,lastError:0,buffers:[],mappedBuffers:{},programs:[],framebuffers:[],renderbuffers:[],textures:[],uniforms:[],shaders:[],vaos:[],contexts:{},currentContext:null,offscreenCanvases:{},timerQueriesEXT:[],programInfos:{},stringCache:{},unpackAlignment:4,init:function(){var miniTempFloatBuffer=new Float32Array(GL.MINI_TEMP_BUFFER_SIZE);for(var i=0;i>2]:-1;source+=UTF8ToString(GROWABLE_HEAP_I32()[string+i*4>>2],len<0?undefined:len)}return source},createContext:function(canvas,webGLContextAttributes){var ctx=canvas.getContext(\"webgl\",webGLContextAttributes);if(!ctx)return 0;var handle=GL.registerContext(ctx,webGLContextAttributes);return handle},registerContext:function(ctx,webGLContextAttributes){var handle=_malloc(8);GROWABLE_HEAP_I32()[handle+4>>2]=_pthread_self();var context={handle:handle,attributes:webGLContextAttributes,version:webGLContextAttributes.majorVersion,GLctx:ctx};if(ctx.canvas)ctx.canvas.GLctxObject=context;GL.contexts[handle]=context;if(typeof webGLContextAttributes.enableExtensionsByDefault===\"undefined\"||webGLContextAttributes.enableExtensionsByDefault){GL.initExtensions(context)}return handle},makeContextCurrent:function(contextHandle){GL.currentContext=GL.contexts[contextHandle];Module.ctx=GLctx=GL.currentContext&&GL.currentContext.GLctx;return!(contextHandle&&!GLctx)},getContext:function(contextHandle){return GL.contexts[contextHandle]},deleteContext:function(contextHandle){if(GL.currentContext===GL.contexts[contextHandle])GL.currentContext=null;if(typeof JSEvents===\"object\")JSEvents.removeAllHandlersOnTarget(GL.contexts[contextHandle].GLctx.canvas);if(GL.contexts[contextHandle]&&GL.contexts[contextHandle].GLctx.canvas)GL.contexts[contextHandle].GLctx.canvas.GLctxObject=undefined;_free(GL.contexts[contextHandle].handle);GL.contexts[contextHandle]=null},initExtensions:function(context){if(!context)context=GL.currentContext;if(context.initExtensionsDone)return;context.initExtensionsDone=true;var GLctx=context.GLctx;__webgl_enable_ANGLE_instanced_arrays(GLctx);__webgl_enable_OES_vertex_array_object(GLctx);__webgl_enable_WEBGL_draw_buffers(GLctx);GLctx.disjointTimerQueryExt=GLctx.getExtension(\"EXT_disjoint_timer_query\");var automaticallyEnabledExtensions=[\"OES_texture_float\",\"OES_texture_half_float\",\"OES_standard_derivatives\",\"OES_vertex_array_object\",\"WEBGL_compressed_texture_s3tc\",\"WEBGL_depth_texture\",\"OES_element_index_uint\",\"EXT_texture_filter_anisotropic\",\"EXT_frag_depth\",\"WEBGL_draw_buffers\",\"ANGLE_instanced_arrays\",\"OES_texture_float_linear\",\"OES_texture_half_float_linear\",\"EXT_blend_minmax\",\"EXT_shader_texture_lod\",\"EXT_texture_norm16\",\"WEBGL_compressed_texture_pvrtc\",\"EXT_color_buffer_half_float\",\"WEBGL_color_buffer_float\",\"EXT_sRGB\",\"WEBGL_compressed_texture_etc1\",\"EXT_disjoint_timer_query\",\"WEBGL_compressed_texture_etc\",\"WEBGL_compressed_texture_astc\",\"EXT_color_buffer_float\",\"WEBGL_compressed_texture_s3tc_srgb\",\"EXT_disjoint_timer_query_webgl2\",\"WEBKIT_WEBGL_compressed_texture_pvrtc\"];var exts=GLctx.getSupportedExtensions()||[];exts.forEach(function(ext){if(automaticallyEnabledExtensions.indexOf(ext)!=-1){GLctx.getExtension(ext)}})},populateUniformTable:function(program){var p=GL.programs[program];var ptable=GL.programInfos[program]={uniforms:{},maxUniformLength:0,maxAttributeLength:-1,maxUniformBlockNameLength:-1};var utable=ptable.uniforms;var numUniforms=GLctx.getProgramParameter(p,35718);for(var i=0;i>2;contextAttributes[\"alpha\"]=!!GROWABLE_HEAP_I32()[a+(0>>2)];contextAttributes[\"depth\"]=!!GROWABLE_HEAP_I32()[a+(4>>2)];contextAttributes[\"stencil\"]=!!GROWABLE_HEAP_I32()[a+(8>>2)];contextAttributes[\"antialias\"]=!!GROWABLE_HEAP_I32()[a+(12>>2)];contextAttributes[\"premultipliedAlpha\"]=!!GROWABLE_HEAP_I32()[a+(16>>2)];contextAttributes[\"preserveDrawingBuffer\"]=!!GROWABLE_HEAP_I32()[a+(20>>2)];var powerPreference=GROWABLE_HEAP_I32()[a+(24>>2)];contextAttributes[\"powerPreference\"]=__emscripten_webgl_power_preferences[powerPreference];contextAttributes[\"failIfMajorPerformanceCaveat\"]=!!GROWABLE_HEAP_I32()[a+(28>>2)];contextAttributes.majorVersion=GROWABLE_HEAP_I32()[a+(32>>2)];contextAttributes.minorVersion=GROWABLE_HEAP_I32()[a+(36>>2)];contextAttributes.enableExtensionsByDefault=GROWABLE_HEAP_I32()[a+(40>>2)];contextAttributes.explicitSwapControl=GROWABLE_HEAP_I32()[a+(44>>2)];contextAttributes.proxyContextToMainThread=GROWABLE_HEAP_I32()[a+(48>>2)];contextAttributes.renderViaOffscreenBackBuffer=GROWABLE_HEAP_I32()[a+(52>>2)];var canvas=__findCanvasEventTarget(target);if(!canvas){return-4}if(contextAttributes.explicitSwapControl){return-1}var contextHandle=GL.createContext(canvas,contextAttributes);return contextHandle}function _emscripten_webgl_create_context(a0,a1){return _emscripten_webgl_do_create_context(a0,a1)}var PATH={splitPath:function(filename){var splitPathRe=/^(\\/?|)([\\s\\S]*?)((?:\\.{1,2}|[^\\/]+?|)(\\.[^.\\/]*|))(?:[\\/]*)$/;return splitPathRe.exec(filename).slice(1)},normalizeArray:function(parts,allowAboveRoot){var up=0;for(var i=parts.length-1;i>=0;i--){var last=parts[i];if(last===\".\"){parts.splice(i,1)}else if(last===\"..\"){parts.splice(i,1);up++}else if(up){parts.splice(i,1);up--}}if(allowAboveRoot){for(;up;up--){parts.unshift(\"..\")}}return parts},normalize:function(path){var isAbsolute=path.charAt(0)===\"/\",trailingSlash=path.substr(-1)===\"/\";path=PATH.normalizeArray(path.split(\"/\").filter(function(p){return!!p}),!isAbsolute).join(\"/\");if(!path&&!isAbsolute){path=\".\"}if(path&&trailingSlash){path+=\"/\"}return(isAbsolute?\"/\":\"\")+path},dirname:function(path){var result=PATH.splitPath(path),root=result[0],dir=result[1];if(!root&&!dir){return\".\"}if(dir){dir=dir.substr(0,dir.length-1)}return root+dir},basename:function(path){if(path===\"/\")return\"/\";var lastSlash=path.lastIndexOf(\"/\");if(lastSlash===-1)return path;return path.substr(lastSlash+1)},extname:function(path){return PATH.splitPath(path)[3]},join:function(){var paths=Array.prototype.slice.call(arguments,0);return PATH.normalize(paths.join(\"/\"))},join2:function(l,r){return PATH.normalize(l+\"/\"+r)}};var SYSCALLS={mappings:{},buffers:[null,[],[]],printChar:function(stream,curr){var buffer=SYSCALLS.buffers[stream];if(curr===0||curr===10){(stream===1?out:err)(UTF8ArrayToString(buffer,0));buffer.length=0}else{buffer.push(curr)}},varargs:undefined,get:function(){SYSCALLS.varargs+=4;var ret=GROWABLE_HEAP_I32()[SYSCALLS.varargs-4>>2];return ret},getStr:function(ptr){var ret=UTF8ToString(ptr);return ret},get64:function(low,high){return low}};function _fd_close(fd){if(ENVIRONMENT_IS_PTHREAD)return _emscripten_proxy_to_main_thread_js(3,1,fd);return 0}function _fd_seek(fd,offset_low,offset_high,whence,newOffset){if(ENVIRONMENT_IS_PTHREAD)return _emscripten_proxy_to_main_thread_js(4,1,fd,offset_low,offset_high,whence,newOffset)}function _fd_write(fd,iov,iovcnt,pnum){if(ENVIRONMENT_IS_PTHREAD)return _emscripten_proxy_to_main_thread_js(5,1,fd,iov,iovcnt,pnum);var num=0;for(var i=0;i>2];var len=GROWABLE_HEAP_I32()[iov+(i*8+4)>>2];for(var j=0;j>2]=num;return 0}function _pthread_cleanup_pop(execute){var routine=PThread.exitHandlers.pop();if(execute)routine()}function _pthread_cleanup_push(routine,arg){if(PThread.exitHandlers===null){PThread.exitHandlers=[]}PThread.exitHandlers.push(function(){dynCall_vi(routine,arg)})}function __spawn_thread(threadParams){if(ENVIRONMENT_IS_PTHREAD)throw\"Internal Error! _spawn_thread() can only ever be called from main application thread!\";var worker=PThread.getNewWorker();if(worker.pthread!==undefined)throw\"Internal error!\";if(!threadParams.pthread_ptr)throw\"Internal error, no pthread ptr!\";PThread.runningWorkers.push(worker);var tlsMemory=_malloc(128*4);for(var i=0;i<128;++i){GROWABLE_HEAP_I32()[tlsMemory+i*4>>2]=0}var stackHigh=threadParams.stackBase+threadParams.stackSize;var pthread=PThread.pthreads[threadParams.pthread_ptr]={worker:worker,stackBase:threadParams.stackBase,stackSize:threadParams.stackSize,allocatedOwnStack:threadParams.allocatedOwnStack,thread:threadParams.pthread_ptr,threadInfoStruct:threadParams.pthread_ptr};var tis=pthread.threadInfoStruct>>2;Atomics.store(GROWABLE_HEAP_U32(),tis+(0>>2),0);Atomics.store(GROWABLE_HEAP_U32(),tis+(4>>2),0);Atomics.store(GROWABLE_HEAP_U32(),tis+(8>>2),0);Atomics.store(GROWABLE_HEAP_U32(),tis+(68>>2),threadParams.detached);Atomics.store(GROWABLE_HEAP_U32(),tis+(104>>2),tlsMemory);Atomics.store(GROWABLE_HEAP_U32(),tis+(48>>2),0);Atomics.store(GROWABLE_HEAP_U32(),tis+(40>>2),pthread.threadInfoStruct);Atomics.store(GROWABLE_HEAP_U32(),tis+(44>>2),42);Atomics.store(GROWABLE_HEAP_U32(),tis+(108>>2),threadParams.stackSize);Atomics.store(GROWABLE_HEAP_U32(),tis+(84>>2),threadParams.stackSize);Atomics.store(GROWABLE_HEAP_U32(),tis+(80>>2),stackHigh);Atomics.store(GROWABLE_HEAP_U32(),tis+(108+8>>2),stackHigh);Atomics.store(GROWABLE_HEAP_U32(),tis+(108+12>>2),threadParams.detached);Atomics.store(GROWABLE_HEAP_U32(),tis+(108+20>>2),threadParams.schedPolicy);Atomics.store(GROWABLE_HEAP_U32(),tis+(108+24>>2),threadParams.schedPrio);var global_libc=_emscripten_get_global_libc();var global_locale=global_libc+40;Atomics.store(GROWABLE_HEAP_U32(),tis+(176>>2),global_locale);worker.pthread=pthread;var msg={\"cmd\":\"run\",\"start_routine\":threadParams.startRoutine,\"arg\":threadParams.arg,\"threadInfoStruct\":threadParams.pthread_ptr,\"selfThreadId\":threadParams.pthread_ptr,\"parentThreadId\":threadParams.parent_pthread_ptr,\"stackBase\":threadParams.stackBase,\"stackSize\":threadParams.stackSize};worker.runPthread=function(){msg.time=performance.now();worker.postMessage(msg,threadParams.transferList)};if(worker.loaded){worker.runPthread();delete worker.runPthread}}function _pthread_getschedparam(thread,policy,schedparam){if(!policy&&!schedparam)return ERRNO_CODES.EINVAL;if(!thread){err(\"pthread_getschedparam called with a null thread pointer!\");return ERRNO_CODES.ESRCH}var self=GROWABLE_HEAP_I32()[thread+12>>2];if(self!==thread){err(\"pthread_getschedparam attempted on thread \"+thread+\", which does not point to a valid thread, or does not exist anymore!\");return ERRNO_CODES.ESRCH}var schedPolicy=Atomics.load(GROWABLE_HEAP_U32(),thread+108+20>>2);var schedPrio=Atomics.load(GROWABLE_HEAP_U32(),thread+108+24>>2);if(policy)GROWABLE_HEAP_I32()[policy>>2]=schedPolicy;if(schedparam)GROWABLE_HEAP_I32()[schedparam>>2]=schedPrio;return 0}function _pthread_self(){return __pthread_ptr|0}Module[\"_pthread_self\"]=_pthread_self;function _pthread_create(pthread_ptr,attr,start_routine,arg){if(typeof SharedArrayBuffer===\"undefined\"){err(\"Current environment does not support SharedArrayBuffer, pthreads are not available!\");return 6}if(!pthread_ptr){err(\"pthread_create called with a null thread pointer!\");return 28}var transferList=[];var error=0;if(ENVIRONMENT_IS_PTHREAD&&(transferList.length===0||error)){return _emscripten_sync_run_in_main_thread_4(687865856,pthread_ptr,attr,start_routine,arg)}if(error)return error;var stackSize=0;var stackBase=0;var detached=0;var schedPolicy=0;var schedPrio=0;if(attr){stackSize=GROWABLE_HEAP_I32()[attr>>2];stackSize+=81920;stackBase=GROWABLE_HEAP_I32()[attr+8>>2];detached=GROWABLE_HEAP_I32()[attr+12>>2]!==0;var inheritSched=GROWABLE_HEAP_I32()[attr+16>>2]===0;if(inheritSched){var prevSchedPolicy=GROWABLE_HEAP_I32()[attr+20>>2];var prevSchedPrio=GROWABLE_HEAP_I32()[attr+24>>2];var parentThreadPtr=PThread.currentProxiedOperationCallerThread?PThread.currentProxiedOperationCallerThread:_pthread_self();_pthread_getschedparam(parentThreadPtr,attr+20,attr+24);schedPolicy=GROWABLE_HEAP_I32()[attr+20>>2];schedPrio=GROWABLE_HEAP_I32()[attr+24>>2];GROWABLE_HEAP_I32()[attr+20>>2]=prevSchedPolicy;GROWABLE_HEAP_I32()[attr+24>>2]=prevSchedPrio}else{schedPolicy=GROWABLE_HEAP_I32()[attr+20>>2];schedPrio=GROWABLE_HEAP_I32()[attr+24>>2]}}else{stackSize=2097152}var allocatedOwnStack=stackBase==0;if(allocatedOwnStack){stackBase=_memalign(16,stackSize)}else{stackBase-=stackSize;assert(stackBase>0)}var threadInfoStruct=_malloc(232);for(var i=0;i<232>>2;++i)GROWABLE_HEAP_U32()[(threadInfoStruct>>2)+i]=0;GROWABLE_HEAP_I32()[pthread_ptr>>2]=threadInfoStruct;GROWABLE_HEAP_I32()[threadInfoStruct+12>>2]=threadInfoStruct;var headPtr=threadInfoStruct+156;GROWABLE_HEAP_I32()[headPtr>>2]=headPtr;var threadParams={stackBase:stackBase,stackSize:stackSize,allocatedOwnStack:allocatedOwnStack,schedPolicy:schedPolicy,schedPrio:schedPrio,detached:detached,startRoutine:start_routine,pthread_ptr:threadInfoStruct,parent_pthread_ptr:_pthread_self(),arg:arg,transferList:transferList};if(ENVIRONMENT_IS_PTHREAD){threadParams.cmd=\"spawnThread\";postMessage(threadParams,transferList)}else{__spawn_thread(threadParams)}return 0}function _roundf(d){d=+d;return d>=+0?+Math_floor(d+ +.5):+Math_ceil(d-+.5)}function _sysconf(name){if(ENVIRONMENT_IS_PTHREAD)return _emscripten_proxy_to_main_thread_js(6,1,name);switch(name){case 30:return 16384;case 85:var maxHeapSize=2147483648;return maxHeapSize/16384;case 132:case 133:case 12:case 137:case 138:case 15:case 235:case 16:case 17:case 18:case 19:case 20:case 149:case 13:case 10:case 236:case 153:case 9:case 21:case 22:case 159:case 154:case 14:case 77:case 78:case 139:case 80:case 81:case 82:case 68:case 67:case 164:case 11:case 29:case 47:case 48:case 95:case 52:case 51:case 46:case 79:return 200809;case 27:case 246:case 127:case 128:case 23:case 24:case 160:case 161:case 181:case 182:case 242:case 183:case 184:case 243:case 244:case 245:case 165:case 178:case 179:case 49:case 50:case 168:case 169:case 175:case 170:case 171:case 172:case 97:case 76:case 32:case 173:case 35:return-1;case 176:case 177:case 7:case 155:case 8:case 157:case 125:case 126:case 92:case 93:case 129:case 130:case 131:case 94:case 91:return 1;case 74:case 60:case 69:case 70:case 4:return 1024;case 31:case 42:case 72:return 32;case 87:case 26:case 33:return 2147483647;case 34:case 1:return 47839;case 38:case 36:return 99;case 43:case 37:return 2048;case 0:return 2097152;case 3:return 65536;case 28:return 32768;case 44:return 32767;case 75:return 16384;case 39:return 1e3;case 89:return 700;case 71:return 256;case 40:return 255;case 2:return 100;case 180:return 64;case 25:return 20;case 5:return 16;case 6:return 6;case 73:return 4;case 84:{if(typeof navigator===\"object\")return navigator[\"hardwareConcurrency\"]||1;return 1}}setErrNo(28);return-1}if(!ENVIRONMENT_IS_PTHREAD)PThread.initMainThreadBlock();else PThread.initWorker();var GLctx;GL.init();var proxiedFunctionTable=[null,_atexit,_emscripten_set_canvas_element_size_main_thread,_fd_close,_fd_seek,_fd_write,_sysconf];var asmLibraryArg={\"e\":___assert_fail,\"r\":___call_main,\"w\":__emscripten_notify_thread_queue,\"a\":_abort,\"l\":_emscripten_conditional_set_current_thread_status,\"d\":_emscripten_futex_wait,\"c\":_emscripten_futex_wake,\"h\":_emscripten_get_now,\"g\":_emscripten_is_main_browser_thread,\"x\":_emscripten_is_main_runtime_thread,\"q\":_emscripten_memcpy_big,\"B\":_emscripten_num_logical_cores,\"t\":_emscripten_receive_on_main_thread_js,\"A\":_emscripten_resize_heap,\"u\":_emscripten_set_canvas_element_size,\"k\":_emscripten_set_current_thread_status,\"s\":_emscripten_set_thread_name,\"v\":_emscripten_webgl_create_context,\"m\":_fd_close,\"o\":_fd_seek,\"i\":_fd_write,\"p\":initPthreadsJS,\"memory\":wasmMemory||Module[\"wasmMemory\"],\"y\":_pthread_cleanup_pop,\"z\":_pthread_cleanup_push,\"j\":_pthread_create,\"b\":_pthread_self,\"f\":_roundf,\"n\":_sysconf,\"table\":wasmTable};var asm=createWasm();Module[\"asm\"]=asm;var ___wasm_call_ctors=Module[\"___wasm_call_ctors\"]=function(){return(___wasm_call_ctors=Module[\"___wasm_call_ctors\"]=Module[\"asm\"][\"C\"]).apply(null,arguments)};var _init=Module[\"_init\"]=function(){return(_init=Module[\"_init\"]=Module[\"asm\"][\"D\"]).apply(null,arguments)};var _register_tensor=Module[\"_register_tensor\"]=function(){return(_register_tensor=Module[\"_register_tensor\"]=Module[\"asm\"][\"E\"]).apply(null,arguments)};var _dispose_data=Module[\"_dispose_data\"]=function(){return(_dispose_data=Module[\"_dispose_data\"]=Module[\"asm\"][\"F\"]).apply(null,arguments)};var _dispose=Module[\"_dispose\"]=function(){return(_dispose=Module[\"_dispose\"]=Module[\"asm\"][\"G\"]).apply(null,arguments)};var _Abs=Module[\"_Abs\"]=function(){return(_Abs=Module[\"_Abs\"]=Module[\"asm\"][\"H\"]).apply(null,arguments)};var _Add=Module[\"_Add\"]=function(){return(_Add=Module[\"_Add\"]=Module[\"asm\"][\"I\"]).apply(null,arguments)};var 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assert(condition,text){if(!condition){abort(\"Assertion failed: \"+text)}}function getCFunc(ident){var func=Module[\"_\"+ident];assert(func,\"Cannot call unknown function \"+ident+\", make sure it is exported\");return func}function ccall(ident,returnType,argTypes,args,opts){var toC={\"string\":function(str){var ret=0;if(str!==null&&str!==undefined&&str!==0){var len=(str.length<<2)+1;ret=stackAlloc(len);stringToUTF8(str,ret,len)}return ret},\"array\":function(arr){var ret=stackAlloc(arr.length);writeArrayToMemory(arr,ret);return ret}};function convertReturnValue(ret){if(returnType===\"string\")return UTF8ToString(ret);if(returnType===\"boolean\")return Boolean(ret);return ret}var func=getCFunc(ident);var cArgs=[];var stack=0;if(args){for(var i=0;i=endIdx))++endPtr;if(endPtr-idx>16&&heap.subarray&&UTF8Decoder){return UTF8Decoder.decode(heap.subarray(idx,endPtr))}else{var str=\"\";while(idx>10,56320|ch&1023)}}}return str}function UTF8ToString(ptr,maxBytesToRead){return ptr?UTF8ArrayToString(HEAPU8,ptr,maxBytesToRead):\"\"}function stringToUTF8Array(str,heap,outIdx,maxBytesToWrite){if(!(maxBytesToWrite>0))return 0;var startIdx=outIdx;var endIdx=outIdx+maxBytesToWrite-1;for(var i=0;i=55296&&u<=57343){var u1=str.charCodeAt(++i);u=65536+((u&1023)<<10)|u1&1023}if(u<=127){if(outIdx>=endIdx)break;heap[outIdx++]=u}else if(u<=2047){if(outIdx+1>=endIdx)break;heap[outIdx++]=192|u>>6;heap[outIdx++]=128|u&63}else if(u<=65535){if(outIdx+2>=endIdx)break;heap[outIdx++]=224|u>>12;heap[outIdx++]=128|u>>6&63;heap[outIdx++]=128|u&63}else{if(outIdx+3>=endIdx)break;heap[outIdx++]=240|u>>18;heap[outIdx++]=128|u>>12&63;heap[outIdx++]=128|u>>6&63;heap[outIdx++]=128|u&63}}heap[outIdx]=0;return outIdx-startIdx}function stringToUTF8(str,outPtr,maxBytesToWrite){return stringToUTF8Array(str,HEAPU8,outPtr,maxBytesToWrite)}function writeArrayToMemory(array,buffer){HEAP8.set(array,buffer)}var buffer,HEAP8,HEAPU8,HEAP16,HEAPU16,HEAP32,HEAPU32,HEAPF32,HEAPF64;function updateGlobalBufferAndViews(buf){buffer=buf;Module[\"HEAP8\"]=HEAP8=new Int8Array(buf);Module[\"HEAP16\"]=HEAP16=new Int16Array(buf);Module[\"HEAP32\"]=HEAP32=new Int32Array(buf);Module[\"HEAPU8\"]=HEAPU8=new Uint8Array(buf);Module[\"HEAPU16\"]=HEAPU16=new Uint16Array(buf);Module[\"HEAPU32\"]=HEAPU32=new Uint32Array(buf);Module[\"HEAPF32\"]=HEAPF32=new Float32Array(buf);Module[\"HEAPF64\"]=HEAPF64=new Float64Array(buf)}var INITIAL_INITIAL_MEMORY=Module[\"INITIAL_MEMORY\"]||16777216;function callRuntimeCallbacks(callbacks){while(callbacks.length>0){var callback=callbacks.shift();if(typeof callback==\"function\"){callback(Module);continue}var func=callback.func;if(typeof func===\"number\"){if(callback.arg===undefined){Module[\"dynCall_v\"](func)}else{Module[\"dynCall_vi\"](func,callback.arg)}}else{func(callback.arg===undefined?null:callback.arg)}}}var __ATPRERUN__=[];var __ATINIT__=[];var __ATMAIN__=[];var __ATPOSTRUN__=[];var runtimeInitialized=false;var runtimeExited=false;function 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addRunDependency(id){runDependencies++;if(Module[\"monitorRunDependencies\"]){Module[\"monitorRunDependencies\"](runDependencies)}}function removeRunDependency(id){runDependencies--;if(Module[\"monitorRunDependencies\"]){Module[\"monitorRunDependencies\"](runDependencies)}if(runDependencies==0){if(runDependencyWatcher!==null){clearInterval(runDependencyWatcher);runDependencyWatcher=null}if(dependenciesFulfilled){var callback=dependenciesFulfilled;dependenciesFulfilled=null;callback()}}}Module[\"preloadedImages\"]={};Module[\"preloadedAudios\"]={};function abort(what){if(Module[\"onAbort\"]){Module[\"onAbort\"](what)}what+=\"\";out(what);err(what);ABORT=true;EXITSTATUS=1;what=\"abort(\"+what+\"). Build with -s ASSERTIONS=1 for more info.\";throw new WebAssembly.RuntimeError(what)}function hasPrefix(str,prefix){return String.prototype.startsWith?str.startsWith(prefix):str.indexOf(prefix)===0}var dataURIPrefix=\"data:application/octet-stream;base64,\";function isDataURI(filename){return hasPrefix(filename,dataURIPrefix)}var fileURIPrefix=\"file://\";function isFileURI(filename){return hasPrefix(filename,fileURIPrefix)}var wasmBinaryFile=\"tfjs-backend-wasm.wasm\";if(!isDataURI(wasmBinaryFile)){wasmBinaryFile=locateFile(wasmBinaryFile)}function getBinary(){try{if(wasmBinary){return new Uint8Array(wasmBinary)}if(readBinary){return readBinary(wasmBinaryFile)}else{throw\"both async and sync fetching of the wasm failed\"}}catch(err){abort(err)}}function getBinaryPromise(){if(!wasmBinary&&(ENVIRONMENT_IS_WEB||ENVIRONMENT_IS_WORKER)&&typeof fetch===\"function\"&&!isFileURI(wasmBinaryFile)){return fetch(wasmBinaryFile,{credentials:\"same-origin\"}).then(function(response){if(!response[\"ok\"]){throw\"failed to load wasm binary file at '\"+wasmBinaryFile+\"'\"}return response[\"arrayBuffer\"]()}).catch(function(){return getBinary()})}return new Promise(function(resolve,reject){resolve(getBinary())})}function createWasm(){var info={\"env\":asmLibraryArg,\"wasi_snapshot_preview1\":asmLibraryArg};function receiveInstance(instance,module){var exports=instance.exports;Module[\"asm\"]=exports;wasmMemory=exports[\"memory\"];updateGlobalBufferAndViews(wasmMemory.buffer);removeRunDependency(\"wasm-instantiate\")}addRunDependency(\"wasm-instantiate\");function receiveInstantiatedSource(output){receiveInstance(output[\"instance\"])}function instantiateArrayBuffer(receiver){return getBinaryPromise().then(function(binary){return WebAssembly.instantiate(binary,info)}).then(receiver,function(reason){err(\"failed to asynchronously prepare wasm: \"+reason);abort(reason)})}function instantiateAsync(){if(!wasmBinary&&typeof WebAssembly.instantiateStreaming===\"function\"&&!isDataURI(wasmBinaryFile)&&!isFileURI(wasmBinaryFile)&&typeof fetch===\"function\"){fetch(wasmBinaryFile,{credentials:\"same-origin\"}).then(function(response){var result=WebAssembly.instantiateStreaming(response,info);return result.then(receiveInstantiatedSource,function(reason){err(\"wasm streaming compile failed: \"+reason);err(\"falling back to ArrayBuffer instantiation\");instantiateArrayBuffer(receiveInstantiatedSource)})})}else{return instantiateArrayBuffer(receiveInstantiatedSource)}}if(Module[\"instantiateWasm\"]){try{var exports=Module[\"instantiateWasm\"](info,receiveInstance);return exports}catch(e){err(\"Module.instantiateWasm callback failed with error: \"+e);return false}}instantiateAsync();return{}}__ATINIT__.push();function _emscripten_notify_memory_growth(memoryIndex){updateGlobalBufferAndViews(wasmMemory.buffer)}var PATH={splitPath:function(filename){var splitPathRe=/^(\\/?|)([\\s\\S]*?)((?:\\.{1,2}|[^\\/]+?|)(\\.[^.\\/]*|))(?:[\\/]*)$/;return splitPathRe.exec(filename).slice(1)},normalizeArray:function(parts,allowAboveRoot){var up=0;for(var i=parts.length-1;i>=0;i--){var last=parts[i];if(last===\".\"){parts.splice(i,1)}else if(last===\"..\"){parts.splice(i,1);up++}else if(up){parts.splice(i,1);up--}}if(allowAboveRoot){for(;up;up--){parts.unshift(\"..\")}}return parts},normalize:function(path){var isAbsolute=path.charAt(0)===\"/\",trailingSlash=path.substr(-1)===\"/\";path=PATH.normalizeArray(path.split(\"/\").filter(function(p){return!!p}),!isAbsolute).join(\"/\");if(!path&&!isAbsolute){path=\".\"}if(path&&trailingSlash){path+=\"/\"}return(isAbsolute?\"/\":\"\")+path},dirname:function(path){var result=PATH.splitPath(path),root=result[0],dir=result[1];if(!root&&!dir){return\".\"}if(dir){dir=dir.substr(0,dir.length-1)}return root+dir},basename:function(path){if(path===\"/\")return\"/\";var lastSlash=path.lastIndexOf(\"/\");if(lastSlash===-1)return path;return path.substr(lastSlash+1)},extname:function(path){return PATH.splitPath(path)[3]},join:function(){var paths=Array.prototype.slice.call(arguments,0);return PATH.normalize(paths.join(\"/\"))},join2:function(l,r){return PATH.normalize(l+\"/\"+r)}};var SYSCALLS={mappings:{},buffers:[null,[],[]],printChar:function(stream,curr){var buffer=SYSCALLS.buffers[stream];if(curr===0||curr===10){(stream===1?out:err)(UTF8ArrayToString(buffer,0));buffer.length=0}else{buffer.push(curr)}},varargs:undefined,get:function(){SYSCALLS.varargs+=4;var ret=HEAP32[SYSCALLS.varargs-4>>2];return ret},getStr:function(ptr){var ret=UTF8ToString(ptr);return ret},get64:function(low,high){return low}};function _fd_close(fd){return 0}function _fd_seek(fd,offset_low,offset_high,whence,newOffset){}function _fd_write(fd,iov,iovcnt,pnum){var num=0;for(var i=0;i>2];var len=HEAP32[iov+(i*8+4)>>2];for(var j=0;j>2]=num;return 0}function _exit(status){exit(status)}function _proc_exit(code){_exit(code)}function _roundf(d){d=+d;return d>=+0?+Math_floor(d+ +.5):+Math_ceil(d-+.5)}var asmLibraryArg={\"emscripten_notify_memory_growth\":_emscripten_notify_memory_growth,\"fd_close\":_fd_close,\"fd_seek\":_fd_seek,\"fd_write\":_fd_write,\"proc_exit\":_proc_exit,\"roundf\":_roundf};var asm=createWasm();Module[\"asm\"]=asm;var _init=Module[\"_init\"]=function(){return(_init=Module[\"_init\"]=Module[\"asm\"][\"init\"]).apply(null,arguments)};var _register_tensor=Module[\"_register_tensor\"]=function(){return(_register_tensor=Module[\"_register_tensor\"]=Module[\"asm\"][\"register_tensor\"]).apply(null,arguments)};var _dispose_data=Module[\"_dispose_data\"]=function(){return(_dispose_data=Module[\"_dispose_data\"]=Module[\"asm\"][\"dispose_data\"]).apply(null,arguments)};var _dispose=Module[\"_dispose\"]=function(){return(_dispose=Module[\"_dispose\"]=Module[\"asm\"][\"dispose\"]).apply(null,arguments)};var 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_Transpose=Module[\"_Transpose\"]=function(){return(_Transpose=Module[\"_Transpose\"]=Module[\"asm\"][\"Transpose\"]).apply(null,arguments)};var __FusedMatMul=Module[\"__FusedMatMul\"]=function(){return(__FusedMatMul=Module[\"__FusedMatMul\"]=Module[\"asm\"][\"_FusedMatMul\"]).apply(null,arguments)};var _malloc=Module[\"_malloc\"]=function(){return(_malloc=Module[\"_malloc\"]=Module[\"asm\"][\"malloc\"]).apply(null,arguments)};var _free=Module[\"_free\"]=function(){return(_free=Module[\"_free\"]=Module[\"asm\"][\"free\"]).apply(null,arguments)};var __start=Module[\"__start\"]=function(){return(__start=Module[\"__start\"]=Module[\"asm\"][\"_start\"]).apply(null,arguments)};var stackSave=Module[\"stackSave\"]=function(){return(stackSave=Module[\"stackSave\"]=Module[\"asm\"][\"stackSave\"]).apply(null,arguments)};var stackAlloc=Module[\"stackAlloc\"]=function(){return(stackAlloc=Module[\"stackAlloc\"]=Module[\"asm\"][\"stackAlloc\"]).apply(null,arguments)};var stackRestore=Module[\"stackRestore\"]=function(){return(stackRestore=Module[\"stackRestore\"]=Module[\"asm\"][\"stackRestore\"]).apply(null,arguments)};Module[\"asm\"]=asm;Module[\"cwrap\"]=cwrap;var calledRun;Module[\"then\"]=function(func){if(calledRun){func(Module)}else{var old=Module[\"onRuntimeInitialized\"];Module[\"onRuntimeInitialized\"]=function(){if(old)old();func(Module)}}return Module};function ExitStatus(status){this.name=\"ExitStatus\";this.message=\"Program terminated with exit(\"+status+\")\";this.status=status}var calledMain=false;dependenciesFulfilled=function runCaller(){if(!calledRun)run();if(!calledRun)dependenciesFulfilled=runCaller};function callMain(args){var entryFunction=Module[\"__start\"];try{entryFunction();var ret=0;exit(ret,true)}catch(e){if(e instanceof ExitStatus){return}else if(e==\"unwind\"){noExitRuntime=true;return}else{var toLog=e;if(e&&typeof e===\"object\"&&e.stack){toLog=[e,e.stack]}err(\"exception thrown: \"+toLog);quit_(1,e)}}finally{calledMain=true}}function run(args){args=args||arguments_;if(runDependencies>0){return}preRun();if(runDependencies>0)return;function doRun(){if(calledRun)return;calledRun=true;Module[\"calledRun\"]=true;if(ABORT)return;initRuntime();preMain();if(Module[\"onRuntimeInitialized\"])Module[\"onRuntimeInitialized\"]();if(shouldRunNow)callMain(args);postRun()}if(Module[\"setStatus\"]){Module[\"setStatus\"](\"Running...\");setTimeout(function(){setTimeout(function(){Module[\"setStatus\"](\"\")},1);doRun()},1)}else{doRun()}}Module[\"run\"]=run;function exit(status,implicit){if(implicit&&noExitRuntime&&status===0){return}if(noExitRuntime){}else{ABORT=true;EXITSTATUS=status;exitRuntime();if(Module[\"onExit\"])Module[\"onExit\"](status)}quit_(status,new ExitStatus(status))}if(Module[\"preInit\"]){if(typeof Module[\"preInit\"]==\"function\")Module[\"preInit\"]=[Module[\"preInit\"]];while(Module[\"preInit\"].length>0){Module[\"preInit\"].pop()()}}var shouldRunNow=true;if(Module[\"noInitialRun\"])shouldRunNow=false;noExitRuntime=true;run();\n\n\n return WasmBackendModule\n}\n);\n})();\nif (typeof exports === 'object' && typeof module === 'object')\n module.exports = WasmBackendModule;\n else if (typeof define === 'function' && define['amd'])\n define([], function() { return WasmBackendModule; });\n else if (typeof exports === 'object')\n exports[\"WasmBackendModule\"] = WasmBackendModule;\n ", "// A port of an algorithm by Johannes Baag\u00F8e , 2010\n// http://baagoe.com/en/RandomMusings/javascript/\n// https://github.com/nquinlan/better-random-numbers-for-javascript-mirror\n// Original work is under MIT license -\n\n// Copyright (C) 2010 by Johannes Baag\u00F8e \n//\n// Permission is hereby granted, free of charge, to any person obtaining a copy\n// of this software and associated documentation files (the \"Software\"), to deal\n// in the Software without restriction, including without limitation the rights\n// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell\n// copies of the Software, and to permit persons to whom the Software is\n// furnished to do so, subject to the following conditions:\n//\n// The above copyright notice and this permission notice shall be included in\n// all copies or substantial portions of the Software.\n//\n// THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\n// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\n// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN\n// THE SOFTWARE.\n\n\n\n(function(global, module, define) {\n\nfunction Alea(seed) {\n var me = this, mash = Mash();\n\n me.next = function() {\n var t = 2091639 * me.s0 + me.c * 2.3283064365386963e-10; // 2^-32\n me.s0 = me.s1;\n me.s1 = me.s2;\n return me.s2 = t - (me.c = t | 0);\n };\n\n // Apply the seeding algorithm from Baagoe.\n me.c = 1;\n me.s0 = mash(' ');\n me.s1 = mash(' ');\n me.s2 = mash(' ');\n me.s0 -= mash(seed);\n if (me.s0 < 0) { me.s0 += 1; }\n me.s1 -= mash(seed);\n if (me.s1 < 0) { me.s1 += 1; }\n me.s2 -= mash(seed);\n if (me.s2 < 0) { me.s2 += 1; }\n mash = null;\n}\n\nfunction copy(f, t) {\n t.c = f.c;\n t.s0 = f.s0;\n t.s1 = f.s1;\n t.s2 = f.s2;\n return t;\n}\n\nfunction impl(seed, opts) {\n var xg = new Alea(seed),\n state = opts && opts.state,\n prng = xg.next;\n prng.int32 = function() { return (xg.next() * 0x100000000) | 0; }\n prng.double = function() {\n return prng() + (prng() * 0x200000 | 0) * 1.1102230246251565e-16; // 2^-53\n };\n prng.quick = prng;\n if (state) {\n if (typeof(state) == 'object') copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nfunction Mash() {\n var n = 0xefc8249d;\n\n var mash = function(data) {\n data = String(data);\n for (var i = 0; i < data.length; i++) {\n n += data.charCodeAt(i);\n var h = 0.02519603282416938 * n;\n n = h >>> 0;\n h -= n;\n h *= n;\n n = h >>> 0;\n h -= n;\n n += h * 0x100000000; // 2^32\n }\n return (n >>> 0) * 2.3283064365386963e-10; // 2^-32\n };\n\n return mash;\n}\n\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.alea = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n\n", "// A Javascript implementaion of the \"xor128\" prng algorithm by\n// George Marsaglia. See http://www.jstatsoft.org/v08/i14/paper\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this, strseed = '';\n\n me.x = 0;\n me.y = 0;\n me.z = 0;\n me.w = 0;\n\n // Set up generator function.\n me.next = function() {\n var t = me.x ^ (me.x << 11);\n me.x = me.y;\n me.y = me.z;\n me.z = me.w;\n return me.w ^= (me.w >>> 19) ^ t ^ (t >>> 8);\n };\n\n if (seed === (seed | 0)) {\n // Integer seed.\n me.x = seed;\n } else {\n // String seed.\n strseed += seed;\n }\n\n // Mix in string seed, then discard an initial batch of 64 values.\n for (var k = 0; k < strseed.length + 64; k++) {\n me.x ^= strseed.charCodeAt(k) | 0;\n me.next();\n }\n}\n\nfunction copy(f, t) {\n t.x = f.x;\n t.y = f.y;\n t.z = f.z;\n t.w = f.w;\n return t;\n}\n\nfunction impl(seed, opts) {\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (typeof(state) == 'object') copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.xor128 = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n\n", "// A Javascript implementaion of the \"xorwow\" prng algorithm by\n// George Marsaglia. See http://www.jstatsoft.org/v08/i14/paper\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this, strseed = '';\n\n // Set up generator function.\n me.next = function() {\n var t = (me.x ^ (me.x >>> 2));\n me.x = me.y; me.y = me.z; me.z = me.w; me.w = me.v;\n return (me.d = (me.d + 362437 | 0)) +\n (me.v = (me.v ^ (me.v << 4)) ^ (t ^ (t << 1))) | 0;\n };\n\n me.x = 0;\n me.y = 0;\n me.z = 0;\n me.w = 0;\n me.v = 0;\n\n if (seed === (seed | 0)) {\n // Integer seed.\n me.x = seed;\n } else {\n // String seed.\n strseed += seed;\n }\n\n // Mix in string seed, then discard an initial batch of 64 values.\n for (var k = 0; k < strseed.length + 64; k++) {\n me.x ^= strseed.charCodeAt(k) | 0;\n if (k == strseed.length) {\n me.d = me.x << 10 ^ me.x >>> 4;\n }\n me.next();\n }\n}\n\nfunction copy(f, t) {\n t.x = f.x;\n t.y = f.y;\n t.z = f.z;\n t.w = f.w;\n t.v = f.v;\n t.d = f.d;\n return t;\n}\n\nfunction impl(seed, opts) {\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (typeof(state) == 'object') copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.xorwow = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n\n", "// A Javascript implementaion of the \"xorshift7\" algorithm by\n// Fran\u00E7ois Panneton and Pierre L'ecuyer:\n// \"On the Xorgshift Random Number Generators\"\n// http://saluc.engr.uconn.edu/refs/crypto/rng/panneton05onthexorshift.pdf\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this;\n\n // Set up generator function.\n me.next = function() {\n // Update xor generator.\n var X = me.x, i = me.i, t, v, w;\n t = X[i]; t ^= (t >>> 7); v = t ^ (t << 24);\n t = X[(i + 1) & 7]; v ^= t ^ (t >>> 10);\n t = X[(i + 3) & 7]; v ^= t ^ (t >>> 3);\n t = X[(i + 4) & 7]; v ^= t ^ (t << 7);\n t = X[(i + 7) & 7]; t = t ^ (t << 13); v ^= t ^ (t << 9);\n X[i] = v;\n me.i = (i + 1) & 7;\n return v;\n };\n\n function init(me, seed) {\n var j, w, X = [];\n\n if (seed === (seed | 0)) {\n // Seed state array using a 32-bit integer.\n w = X[0] = seed;\n } else {\n // Seed state using a string.\n seed = '' + seed;\n for (j = 0; j < seed.length; ++j) {\n X[j & 7] = (X[j & 7] << 15) ^\n (seed.charCodeAt(j) + X[(j + 1) & 7] << 13);\n }\n }\n // Enforce an array length of 8, not all zeroes.\n while (X.length < 8) X.push(0);\n for (j = 0; j < 8 && X[j] === 0; ++j);\n if (j == 8) w = X[7] = -1; else w = X[j];\n\n me.x = X;\n me.i = 0;\n\n // Discard an initial 256 values.\n for (j = 256; j > 0; --j) {\n me.next();\n }\n }\n\n init(me, seed);\n}\n\nfunction copy(f, t) {\n t.x = f.x.slice();\n t.i = f.i;\n return t;\n}\n\nfunction impl(seed, opts) {\n if (seed == null) seed = +(new Date);\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (state.x) copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.xorshift7 = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n", "// A Javascript implementaion of Richard Brent's Xorgens xor4096 algorithm.\n//\n// This fast non-cryptographic random number generator is designed for\n// use in Monte-Carlo algorithms. It combines a long-period xorshift\n// generator with a Weyl generator, and it passes all common batteries\n// of stasticial tests for randomness while consuming only a few nanoseconds\n// for each prng generated. For background on the generator, see Brent's\n// paper: \"Some long-period random number generators using shifts and xors.\"\n// http://arxiv.org/pdf/1004.3115v1.pdf\n//\n// Usage:\n//\n// var xor4096 = require('xor4096');\n// random = xor4096(1); // Seed with int32 or string.\n// assert.equal(random(), 0.1520436450538547); // (0, 1) range, 53 bits.\n// assert.equal(random.int32(), 1806534897); // signed int32, 32 bits.\n//\n// For nonzero numeric keys, this impelementation provides a sequence\n// identical to that by Brent's xorgens 3 implementaion in C. This\n// implementation also provides for initalizing the generator with\n// string seeds, or for saving and restoring the state of the generator.\n//\n// On Chrome, this prng benchmarks about 2.1 times slower than\n// Javascript's built-in Math.random().\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this;\n\n // Set up generator function.\n me.next = function() {\n var w = me.w,\n X = me.X, i = me.i, t, v;\n // Update Weyl generator.\n me.w = w = (w + 0x61c88647) | 0;\n // Update xor generator.\n v = X[(i + 34) & 127];\n t = X[i = ((i + 1) & 127)];\n v ^= v << 13;\n t ^= t << 17;\n v ^= v >>> 15;\n t ^= t >>> 12;\n // Update Xor generator array state.\n v = X[i] = v ^ t;\n me.i = i;\n // Result is the combination.\n return (v + (w ^ (w >>> 16))) | 0;\n };\n\n function init(me, seed) {\n var t, v, i, j, w, X = [], limit = 128;\n if (seed === (seed | 0)) {\n // Numeric seeds initialize v, which is used to generates X.\n v = seed;\n seed = null;\n } else {\n // String seeds are mixed into v and X one character at a time.\n seed = seed + '\\0';\n v = 0;\n limit = Math.max(limit, seed.length);\n }\n // Initialize circular array and weyl value.\n for (i = 0, j = -32; j < limit; ++j) {\n // Put the unicode characters into the array, and shuffle them.\n if (seed) v ^= seed.charCodeAt((j + 32) % seed.length);\n // After 32 shuffles, take v as the starting w value.\n if (j === 0) w = v;\n v ^= v << 10;\n v ^= v >>> 15;\n v ^= v << 4;\n v ^= v >>> 13;\n if (j >= 0) {\n w = (w + 0x61c88647) | 0; // Weyl.\n t = (X[j & 127] ^= (v + w)); // Combine xor and weyl to init array.\n i = (0 == t) ? i + 1 : 0; // Count zeroes.\n }\n }\n // We have detected all zeroes; make the key nonzero.\n if (i >= 128) {\n X[(seed && seed.length || 0) & 127] = -1;\n }\n // Run the generator 512 times to further mix the state before using it.\n // Factoring this as a function slows the main generator, so it is just\n // unrolled here. The weyl generator is not advanced while warming up.\n i = 127;\n for (j = 4 * 128; j > 0; --j) {\n v = X[(i + 34) & 127];\n t = X[i = ((i + 1) & 127)];\n v ^= v << 13;\n t ^= t << 17;\n v ^= v >>> 15;\n t ^= t >>> 12;\n X[i] = v ^ t;\n }\n // Storing state as object members is faster than using closure variables.\n me.w = w;\n me.X = X;\n me.i = i;\n }\n\n init(me, seed);\n}\n\nfunction copy(f, t) {\n t.i = f.i;\n t.w = f.w;\n t.X = f.X.slice();\n return t;\n};\n\nfunction impl(seed, opts) {\n if (seed == null) seed = +(new Date);\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (state.X) copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.xor4096 = impl;\n}\n\n})(\n this, // window object or global\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n", "// A Javascript implementaion of the \"Tyche-i\" prng algorithm by\n// Samuel Neves and Filipe Araujo.\n// See https://eden.dei.uc.pt/~sneves/pubs/2011-snfa2.pdf\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this, strseed = '';\n\n // Set up generator function.\n me.next = function() {\n var b = me.b, c = me.c, d = me.d, a = me.a;\n b = (b << 25) ^ (b >>> 7) ^ c;\n c = (c - d) | 0;\n d = (d << 24) ^ (d >>> 8) ^ a;\n a = (a - b) | 0;\n me.b = b = (b << 20) ^ (b >>> 12) ^ c;\n me.c = c = (c - d) | 0;\n me.d = (d << 16) ^ (c >>> 16) ^ a;\n return me.a = (a - b) | 0;\n };\n\n /* The following is non-inverted tyche, which has better internal\n * bit diffusion, but which is about 25% slower than tyche-i in JS.\n me.next = function() {\n var a = me.a, b = me.b, c = me.c, d = me.d;\n a = (me.a + me.b | 0) >>> 0;\n d = me.d ^ a; d = d << 16 ^ d >>> 16;\n c = me.c + d | 0;\n b = me.b ^ c; b = b << 12 ^ d >>> 20;\n me.a = a = a + b | 0;\n d = d ^ a; me.d = d = d << 8 ^ d >>> 24;\n me.c = c = c + d | 0;\n b = b ^ c;\n return me.b = (b << 7 ^ b >>> 25);\n }\n */\n\n me.a = 0;\n me.b = 0;\n me.c = 2654435769 | 0;\n me.d = 1367130551;\n\n if (seed === Math.floor(seed)) {\n // Integer seed.\n me.a = (seed / 0x100000000) | 0;\n me.b = seed | 0;\n } else {\n // String seed.\n strseed += seed;\n }\n\n // Mix in string seed, then discard an initial batch of 64 values.\n for (var k = 0; k < strseed.length + 20; k++) {\n me.b ^= strseed.charCodeAt(k) | 0;\n me.next();\n }\n}\n\nfunction copy(f, t) {\n t.a = f.a;\n t.b = f.b;\n t.c = f.c;\n t.d = f.d;\n return t;\n};\n\nfunction impl(seed, opts) {\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (typeof(state) == 'object') copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.tychei = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n\n", "/*\nCopyright 2019 David Bau.\n\nPermission is hereby granted, free of charge, to any person obtaining\na copy of this software and associated documentation files (the\n\"Software\"), to deal in the Software without restriction, including\nwithout limitation the rights to use, copy, modify, merge, publish,\ndistribute, sublicense, and/or sell copies of the Software, and to\npermit persons to whom the Software is furnished to do so, subject to\nthe following conditions:\n\nThe above copyright notice and this permission notice shall be\nincluded in all copies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND,\nEXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF\nMERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.\nIN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY\nCLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,\nTORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE\nSOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.\n\n*/\n\n(function (global, pool, math) {\n//\n// The following constants are related to IEEE 754 limits.\n//\n\nvar width = 256, // each RC4 output is 0 <= x < 256\n chunks = 6, // at least six RC4 outputs for each double\n digits = 52, // there are 52 significant digits in a double\n rngname = 'random', // rngname: name for Math.random and Math.seedrandom\n startdenom = math.pow(width, chunks),\n significance = math.pow(2, digits),\n overflow = significance * 2,\n mask = width - 1,\n nodecrypto; // node.js crypto module, initialized at the bottom.\n\n//\n// seedrandom()\n// This is the seedrandom function described above.\n//\nfunction seedrandom(seed, options, callback) {\n var key = [];\n options = (options == true) ? { entropy: true } : (options || {});\n\n // Flatten the seed string or build one from local entropy if needed.\n var shortseed = mixkey(flatten(\n options.entropy ? [seed, tostring(pool)] :\n (seed == null) ? autoseed() : seed, 3), key);\n\n // Use the seed to initialize an ARC4 generator.\n var arc4 = new ARC4(key);\n\n // This function returns a random double in [0, 1) that contains\n // randomness in every bit of the mantissa of the IEEE 754 value.\n var prng = function() {\n var n = arc4.g(chunks), // Start with a numerator n < 2 ^ 48\n d = startdenom, // and denominator d = 2 ^ 48.\n x = 0; // and no 'extra last byte'.\n while (n < significance) { // Fill up all significant digits by\n n = (n + x) * width; // shifting numerator and\n d *= width; // denominator and generating a\n x = arc4.g(1); // new least-significant-byte.\n }\n while (n >= overflow) { // To avoid rounding up, before adding\n n /= 2; // last byte, shift everything\n d /= 2; // right using integer math until\n x >>>= 1; // we have exactly the desired bits.\n }\n return (n + x) / d; // Form the number within [0, 1).\n };\n\n prng.int32 = function() { return arc4.g(4) | 0; }\n prng.quick = function() { return arc4.g(4) / 0x100000000; }\n prng.double = prng;\n\n // Mix the randomness into accumulated entropy.\n mixkey(tostring(arc4.S), pool);\n\n // Calling convention: what to return as a function of prng, seed, is_math.\n return (options.pass || callback ||\n function(prng, seed, is_math_call, state) {\n if (state) {\n // Load the arc4 state from the given state if it has an S array.\n if (state.S) { copy(state, arc4); }\n // Only provide the .state method if requested via options.state.\n prng.state = function() { return copy(arc4, {}); }\n }\n\n // If called as a method of Math (Math.seedrandom()), mutate\n // Math.random because that is how seedrandom.js has worked since v1.0.\n if (is_math_call) { math[rngname] = prng; return seed; }\n\n // Otherwise, it is a newer calling convention, so return the\n // prng directly.\n else return prng;\n })(\n prng,\n shortseed,\n 'global' in options ? options.global : (this == math),\n options.state);\n}\n\n//\n// ARC4\n//\n// An ARC4 implementation. The constructor takes a key in the form of\n// an array of at most (width) integers that should be 0 <= x < (width).\n//\n// The g(count) method returns a pseudorandom integer that concatenates\n// the next (count) outputs from ARC4. Its return value is a number x\n// that is in the range 0 <= x < (width ^ count).\n//\nfunction ARC4(key) {\n var t, keylen = key.length,\n me = this, i = 0, j = me.i = me.j = 0, s = me.S = [];\n\n // The empty key [] is treated as [0].\n if (!keylen) { key = [keylen++]; }\n\n // Set up S using the standard key scheduling algorithm.\n while (i < width) {\n s[i] = i++;\n }\n for (i = 0; i < width; i++) {\n s[i] = s[j = mask & (j + key[i % keylen] + (t = s[i]))];\n s[j] = t;\n }\n\n // The \"g\" method returns the next (count) outputs as one number.\n (me.g = function(count) {\n // Using instance members instead of closure state nearly doubles speed.\n var t, r = 0,\n i = me.i, j = me.j, s = me.S;\n while (count--) {\n t = s[i = mask & (i + 1)];\n r = r * width + s[mask & ((s[i] = s[j = mask & (j + t)]) + (s[j] = t))];\n }\n me.i = i; me.j = j;\n return r;\n // For robust unpredictability, the function call below automatically\n // discards an initial batch of values. This is called RC4-drop[256].\n // See http://google.com/search?q=rsa+fluhrer+response&btnI\n })(width);\n}\n\n//\n// copy()\n// Copies internal state of ARC4 to or from a plain object.\n//\nfunction copy(f, t) {\n t.i = f.i;\n t.j = f.j;\n t.S = f.S.slice();\n return t;\n};\n\n//\n// flatten()\n// Converts an object tree to nested arrays of strings.\n//\nfunction flatten(obj, depth) {\n var result = [], typ = (typeof obj), prop;\n if (depth && typ == 'object') {\n for (prop in obj) {\n try { result.push(flatten(obj[prop], depth - 1)); } catch (e) {}\n }\n }\n return (result.length ? result : typ == 'string' ? obj : obj + '\\0');\n}\n\n//\n// mixkey()\n// Mixes a string seed into a key that is an array of integers, and\n// returns a shortened string seed that is equivalent to the result key.\n//\nfunction mixkey(seed, key) {\n var stringseed = seed + '', smear, j = 0;\n while (j < stringseed.length) {\n key[mask & j] =\n mask & ((smear ^= key[mask & j] * 19) + stringseed.charCodeAt(j++));\n }\n return tostring(key);\n}\n\n//\n// autoseed()\n// Returns an object for autoseeding, using window.crypto and Node crypto\n// module if available.\n//\nfunction autoseed() {\n try {\n var out;\n if (nodecrypto && (out = nodecrypto.randomBytes)) {\n // The use of 'out' to remember randomBytes makes tight minified code.\n out = out(width);\n } else {\n out = new Uint8Array(width);\n (global.crypto || global.msCrypto).getRandomValues(out);\n }\n return tostring(out);\n } catch (e) {\n var browser = global.navigator,\n plugins = browser && browser.plugins;\n return [+new Date, global, plugins, global.screen, tostring(pool)];\n }\n}\n\n//\n// tostring()\n// Converts an array of charcodes to a string\n//\nfunction tostring(a) {\n return String.fromCharCode.apply(0, a);\n}\n\n//\n// When seedrandom.js is loaded, we immediately mix a few bits\n// from the built-in RNG into the entropy pool. Because we do\n// not want to interfere with deterministic PRNG state later,\n// seedrandom will not call math.random on its own again after\n// initialization.\n//\nmixkey(math.random(), pool);\n\n//\n// Nodejs and AMD support: export the implementation as a module using\n// either convention.\n//\nif ((typeof module) == 'object' && module.exports) {\n module.exports = seedrandom;\n // When in node.js, try using crypto package for autoseeding.\n try {\n nodecrypto = require('crypto');\n } catch (ex) {}\n} else if ((typeof define) == 'function' && define.amd) {\n define(function() { return seedrandom; });\n} else {\n // When included as a plain script, set up Math.seedrandom global.\n math['seed' + rngname] = seedrandom;\n}\n\n\n// End anonymous scope, and pass initial values.\n})(\n // global: `self` in browsers (including strict mode and web workers),\n // otherwise `this` in Node and other environments\n (typeof self !== 'undefined') ? self : this,\n [], // pool: entropy pool starts empty\n Math // math: package containing random, pow, and seedrandom\n);\n", "// A library of seedable RNGs implemented in Javascript.\n//\n// Usage:\n//\n// var seedrandom = require('seedrandom');\n// var random = seedrandom(1); // or any seed.\n// var x = random(); // 0 <= x < 1. Every bit is random.\n// var x = random.quick(); // 0 <= x < 1. 32 bits of randomness.\n\n// alea, a 53-bit multiply-with-carry generator by Johannes Baag\u00F8e.\n// Period: ~2^116\n// Reported to pass all BigCrush tests.\nvar alea = require('./lib/alea');\n\n// xor128, a pure xor-shift generator by George Marsaglia.\n// Period: 2^128-1.\n// Reported to fail: MatrixRank and LinearComp.\nvar xor128 = require('./lib/xor128');\n\n// xorwow, George Marsaglia's 160-bit xor-shift combined plus weyl.\n// Period: 2^192-2^32\n// Reported to fail: CollisionOver, SimpPoker, and LinearComp.\nvar xorwow = require('./lib/xorwow');\n\n// xorshift7, by Fran\u00E7ois Panneton and Pierre L'ecuyer, takes\n// a different approach: it adds robustness by allowing more shifts\n// than Marsaglia's original three. It is a 7-shift generator\n// with 256 bits, that passes BigCrush with no systmatic failures.\n// Period 2^256-1.\n// No systematic BigCrush failures reported.\nvar xorshift7 = require('./lib/xorshift7');\n\n// xor4096, by Richard Brent, is a 4096-bit xor-shift with a\n// very long period that also adds a Weyl generator. It also passes\n// BigCrush with no systematic failures. Its long period may\n// be useful if you have many generators and need to avoid\n// collisions.\n// Period: 2^4128-2^32.\n// No systematic BigCrush failures reported.\nvar xor4096 = require('./lib/xor4096');\n\n// Tyche-i, by Samuel Neves and Filipe Araujo, is a bit-shifting random\n// number generator derived from ChaCha, a modern stream cipher.\n// https://eden.dei.uc.pt/~sneves/pubs/2011-snfa2.pdf\n// Period: ~2^127\n// No systematic BigCrush failures reported.\nvar tychei = require('./lib/tychei');\n\n// The original ARC4-based prng included in this library.\n// Period: ~2^1600\nvar sr = require('./seedrandom');\n\nsr.alea = alea;\nsr.xor128 = xor128;\nsr.xorwow = xorwow;\nsr.xorshift7 = xorshift7;\nsr.xor4096 = xor4096;\nsr.tychei = tychei;\n\nmodule.exports = sr;\n", "", null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, "export const wasmWorkerContents = 'var threadInfoStruct=0;var selfThreadId=0;var parentThreadId=0;var Module={};function threadPrintErr(){var text=Array.prototype.slice.call(arguments).join(\" \");console.error(text)}function threadAlert(){var text=Array.prototype.slice.call(arguments).join(\" \");postMessage({cmd:\"alert\",text:text,threadId:selfThreadId})}var err=threadPrintErr;this.alert=threadAlert;Module[\"instantiateWasm\"]=function(info,receiveInstance){var instance=new WebAssembly.Instance(Module[\"wasmModule\"],info);Module[\"wasmModule\"]=null;receiveInstance(instance);return instance.exports};this.onmessage=function(e){try{if(e.data.cmd===\"load\"){Module[\"DYNAMIC_BASE\"]=e.data.DYNAMIC_BASE;Module[\"DYNAMICTOP_PTR\"]=e.data.DYNAMICTOP_PTR;Module[\"wasmModule\"]=e.data.wasmModule;Module[\"wasmMemory\"]=e.data.wasmMemory;Module[\"buffer\"]=Module[\"wasmMemory\"].buffer;Module[\"ENVIRONMENT_IS_PTHREAD\"]=true;if(typeof e.data.urlOrBlob===\"string\"){importScripts(e.data.urlOrBlob)}else{var objectUrl=URL.createObjectURL(e.data.urlOrBlob);importScripts(objectUrl);URL.revokeObjectURL(objectUrl)}Module=WasmBackendModuleThreadedSimd(Module);postMessage({\"cmd\":\"loaded\"})}else if(e.data.cmd===\"objectTransfer\"){Module[\"PThread\"].receiveObjectTransfer(e.data)}else if(e.data.cmd===\"run\"){Module[\"__performance_now_clock_drift\"]=performance.now()-e.data.time;threadInfoStruct=e.data.threadInfoStruct;Module[\"__register_pthread_ptr\"](threadInfoStruct,0,0);selfThreadId=e.data.selfThreadId;parentThreadId=e.data.parentThreadId;var max=e.data.stackBase;var top=e.data.stackBase+e.data.stackSize;Module[\"establishStackSpace\"](top,max);Module[\"_emscripten_tls_init\"]();Module[\"PThread\"].receiveObjectTransfer(e.data);Module[\"PThread\"].setThreadStatus(Module[\"_pthread_self\"](),1);try{var result=Module[\"dynCall_ii\"](e.data.start_routine,e.data.arg);if(!Module[\"getNoExitRuntime\"]())Module[\"PThread\"].threadExit(result)}catch(ex){if(ex===\"Canceled!\"){Module[\"PThread\"].threadCancel()}else if(ex!=\"unwind\"){Atomics.store(Module[\"HEAPU32\"],threadInfoStruct+4>>2,ex instanceof Module[\"ExitStatus\"]?ex.status:-2);Atomics.store(Module[\"HEAPU32\"],threadInfoStruct+0>>2,1);Module[\"_emscripten_futex_wake\"](threadInfoStruct+0,2147483647);if(!(ex instanceof Module[\"ExitStatus\"]))throw ex}}}else if(e.data.cmd===\"cancel\"){if(threadInfoStruct){Module[\"PThread\"].threadCancel()}}else if(e.data.target===\"setimmediate\"){}else if(e.data.cmd===\"processThreadQueue\"){if(threadInfoStruct){Module[\"_emscripten_current_thread_process_queued_calls\"]()}}else{err(\"worker.js received unknown command \"+e.data.cmd);err(e.data)}}catch(ex){err(\"worker.js onmessage() captured an uncaught exception: \"+ex);if(ex.stack)err(ex.stack);throw ex}};if(typeof process===\"object\"&&typeof process.versions===\"object\"&&typeof process.versions.node===\"string\"){self={location:{href:__filename}};var onmessage=this.onmessage;var nodeWorkerThreads=require(\"worker_threads\");Worker=nodeWorkerThreads.Worker;var parentPort=nodeWorkerThreads.parentPort;parentPort.on(\"message\",function(data){onmessage({data:data})});var nodeFS=require(\"fs\");var nodeRead=function(filename){return nodeFS.readFileSync(filename,\"utf8\")};function globalEval(x){global.require=require;global.Module=Module;eval.call(null,x)}importScripts=function(f){globalEval(nodeRead(f))};postMessage=function(msg){parentPort.postMessage(msg)};if(typeof performance===\"undefined\"){performance={now:function(){return Date.now()}}}}';", null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, "// wrapper to load tfjs in a single place so version can be changed quickly\n\n// simplified\n// { modules: 1061, moduleBytes: 3772720, outputBytes: 1531035 }\n\n// export * from '@tensorflow/tfjs/dist/index.js';\n// export * from '@tensorflow/tfjs-backend-wasm';\n\n// modular\n// { modules: 1064, moduleBytes: 3793219, outputBytes: 1535600 }\n\n// get versions of all packages.\nimport * as packageBundle from '@tensorflow/tfjs/package.json';\nimport * as packageCore from '@tensorflow/tfjs-core/package.json';\nimport * as packageData from '@tensorflow/tfjs-data/package.json';\nimport * as packageLayers from '@tensorflow/tfjs-layers/package.json';\nimport * as packageConverter from '@tensorflow/tfjs-converter/package.json';\n// for backends, get version from source so it can register backend during import\nimport { version_cpu } from '@tensorflow/tfjs-backend-cpu/dist/index.js';\nimport { version_webgl } from '@tensorflow/tfjs-backend-webgl/dist/index.js';\nimport { version_wasm } from '@tensorflow/tfjs-backend-wasm/dist/index.js';\n\n// export all\nexport * from '@tensorflow/tfjs-core/dist/index.js';\nexport * from '@tensorflow/tfjs-layers/dist/index.js';\nexport * from '@tensorflow/tfjs-converter/dist/index.js';\nexport * as data from '@tensorflow/tfjs-data/dist/index.js';\nexport * from '@tensorflow/tfjs-backend-cpu/dist/index.js';\nexport * from '@tensorflow/tfjs-backend-webgl/dist/index.js';\nexport * from '@tensorflow/tfjs-backend-wasm/dist/index.js';\n\n// export versions\nexport const version = {\n tfjs: packageBundle.version,\n 'tfjs-core': packageCore.version,\n 'tfjs-data': packageData.version,\n 'tfjs-layers': packageLayers.version,\n 'tfjs-converter': packageConverter.version,\n 'tfjs-backend-cpu': version_cpu,\n 'tfjs-backend-webgl': version_webgl,\n 'tfjs-backend-wasm': version_wasm,\n};\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\n\nexport const config = {\n name: 'humangl',\n priority: 99,\n canvas: null,\n gl: null,\n width: 1024,\n height: 1024,\n webGLattr: { // https://www.khronos.org/registry/webgl/specs/latest/1.0/#5.2\n alpha: false,\n antialias: false,\n premultipliedAlpha: false,\n preserveDrawingBuffer: false,\n depth: false,\n stencil: false,\n failIfMajorPerformanceCaveat: false,\n desynchronized: true,\n },\n};\n\nexport function register() {\n if (!tf.findBackend(config.name)) {\n log('backend registration:', config.name);\n try {\n // @ts-ignore\n config.canvas = (typeof OffscreenCanvas !== 'undefined') ? new OffscreenCanvas(config.width, config.height) : document.createElement('canvas');\n } catch (err) {\n log('error: cannot create canvas:', err);\n return;\n }\n try {\n // @ts-ignore\n config.gl = config.canvas.getContext('webgl2', config.webGLattr);\n } catch (err) {\n log('error: cannot get WebGL2 context:', err);\n return;\n }\n try {\n tf.setWebGLContext(2, config.gl);\n } catch (err) {\n log('error: cannot set WebGL2 context:', err);\n return;\n }\n try {\n const ctx = new tf.GPGPUContext(config.gl);\n tf.registerBackend(config.name, () => new tf.MathBackendWebGL(ctx), config.priority);\n } catch (err) {\n log('error: cannot register WebGL backend:', err);\n return;\n }\n try {\n const kernels = tf.getKernelsForBackend('webgl');\n kernels.forEach((kernelConfig) => {\n const newKernelConfig = { ...kernelConfig, backendName: config.name };\n tf.registerKernel(newKernelConfig);\n });\n } catch (err) {\n log('error: cannot update WebGL backend registration:', err);\n return;\n }\n try {\n tf.ENV.set('WEBGL_VERSION', 2);\n // @ts-ignore\n tf.ENV.set('WEBGL_MAX_TEXTURE_SIZE', config.gl.getParameter(config.gl.MAX_TEXTURE_SIZE));\n tf.ENV.set('WEBGL_FORCE_F16_TEXTURES', true);\n tf.ENV.set('WEBGL_PACK_DEPTHWISECONV', true);\n } catch (err) {\n log('error: cannot set WebGL backend flags:', err);\n return;\n }\n log('backend registered:', config.name);\n }\n}\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\n\nconst NUM_LANDMARKS = 6;\n\nfunction generateAnchors(inputSize) {\n const spec = { strides: [inputSize / 16, inputSize / 8], anchors: [2, 6] };\n const anchors: Array<[number, number]> = [];\n for (let i = 0; i < spec.strides.length; i++) {\n const stride = spec.strides[i];\n const gridRows = Math.floor((inputSize + stride - 1) / stride);\n const gridCols = Math.floor((inputSize + stride - 1) / stride);\n const anchorsNum = spec.anchors[i];\n for (let gridY = 0; gridY < gridRows; gridY++) {\n const anchorY = stride * (gridY + 0.5);\n for (let gridX = 0; gridX < gridCols; gridX++) {\n const anchorX = stride * (gridX + 0.5);\n for (let n = 0; n < anchorsNum; n++) {\n anchors.push([anchorX, anchorY]);\n }\n }\n }\n }\n return anchors;\n}\n\nexport const disposeBox = (box) => {\n box.startEndTensor.dispose();\n box.startPoint.dispose();\n box.endPoint.dispose();\n};\n\nconst createBox = (startEndTensor) => ({\n startEndTensor,\n startPoint: tf.slice(startEndTensor, [0, 0], [-1, 2]),\n endPoint: tf.slice(startEndTensor, [0, 2], [-1, 2]),\n});\n\nfunction decodeBounds(boxOutputs, anchors, inputSize) {\n const boxStarts = tf.slice(boxOutputs, [0, 1], [-1, 2]);\n const centers = tf.add(boxStarts, anchors);\n const boxSizes = tf.slice(boxOutputs, [0, 3], [-1, 2]);\n const boxSizesNormalized = tf.div(boxSizes, inputSize);\n const centersNormalized = tf.div(centers, inputSize);\n const halfBoxSize = tf.div(boxSizesNormalized, 2);\n const starts = tf.sub(centersNormalized, halfBoxSize);\n const ends = tf.add(centersNormalized, halfBoxSize);\n const startNormalized = tf.mul(starts, inputSize);\n const endNormalized = tf.mul(ends, inputSize);\n const concatAxis = 1;\n return tf.concat2d([startNormalized, endNormalized], concatAxis);\n}\n\nexport class BlazeFaceModel {\n blazeFaceModel: any;\n width: number;\n height: number;\n anchorsData: any;\n anchors: any;\n inputSize: number;\n config: any;\n scaleFaces: number;\n\n constructor(model, config) {\n this.blazeFaceModel = model;\n this.width = config.face.detector.inputSize;\n this.height = config.face.detector.inputSize;\n this.anchorsData = generateAnchors(config.face.detector.inputSize);\n this.anchors = tf.tensor2d(this.anchorsData);\n this.inputSize = tf.tensor1d([this.width, this.height]);\n this.config = config;\n this.scaleFaces = 0.8;\n }\n\n async getBoundingBoxes(inputImage) {\n // sanity check on input\n if ((!inputImage) || (inputImage.isDisposedInternal) || (inputImage.shape.length !== 4) || (inputImage.shape[1] < 1) || (inputImage.shape[2] < 1)) return null;\n const [detectedOutputs, boxes, scores] = tf.tidy(() => {\n const resizedImage = inputImage.resizeBilinear([this.width, this.height]);\n // const normalizedImage = tf.mul(tf.sub(resizedImage.div(255), 0.5), 2);\n const normalizedImage = tf.sub(resizedImage.div(127.5), 1);\n const batchedPrediction = this.blazeFaceModel.predict(normalizedImage);\n let prediction;\n // are we using tfhub or pinto converted model?\n if (Array.isArray(batchedPrediction)) {\n const sorted = batchedPrediction.sort((a, b) => a.size - b.size);\n const concat384 = tf.concat([sorted[0], sorted[2]], 2); // dim: 384, 1 + 16\n const concat512 = tf.concat([sorted[1], sorted[3]], 2); // dim: 512, 1 + 16\n const concat = tf.concat([concat512, concat384], 1);\n prediction = concat.squeeze(0);\n } else {\n prediction = batchedPrediction.squeeze(); // when using tfhub model\n }\n const decodedBounds = decodeBounds(prediction, this.anchors, this.inputSize);\n const logits = tf.slice(prediction, [0, 0], [-1, 1]);\n const scoresOut = tf.sigmoid(logits).squeeze();\n return [prediction, decodedBounds, scoresOut];\n });\n const boxIndicesTensor = await tf.image.nonMaxSuppressionAsync(boxes, scores, this.config.face.detector.maxFaces, this.config.face.detector.iouThreshold, this.config.face.detector.scoreThreshold);\n const boxIndices = boxIndicesTensor.arraySync();\n boxIndicesTensor.dispose();\n const boundingBoxesMap = boxIndices.map((boxIndex) => tf.slice(boxes, [boxIndex, 0], [1, -1]));\n const boundingBoxes = boundingBoxesMap.map((boundingBox) => {\n const vals = boundingBox.arraySync();\n boundingBox.dispose();\n return vals;\n });\n\n const scoresVal = scores.dataSync();\n const annotatedBoxes: Array<{ box: any, landmarks: any, anchor: any, confidence: number }> = [];\n for (let i = 0; i < boundingBoxes.length; i++) {\n const boxIndex = boxIndices[i];\n const confidence = scoresVal[boxIndex];\n if (confidence > this.config.face.detector.minConfidence) {\n const box = createBox(boundingBoxes[i]);\n const anchor = this.anchorsData[boxIndex];\n const landmarks = tf.tidy(() => tf.slice(detectedOutputs, [boxIndex, NUM_LANDMARKS - 1], [1, -1]).squeeze().reshape([NUM_LANDMARKS, -1]));\n annotatedBoxes.push({ box, landmarks, anchor, confidence });\n }\n }\n detectedOutputs.dispose();\n boxes.dispose();\n scores.dispose();\n detectedOutputs.dispose();\n return {\n boxes: annotatedBoxes,\n scaleFactor: [inputImage.shape[2] / this.width, inputImage.shape[1] / this.height],\n };\n }\n}\n\nexport async function load(config) {\n const blazeface = await tf.loadGraphModel(config.face.detector.modelPath, { fromTFHub: config.face.detector.modelPath.includes('tfhub.dev') });\n const model = new BlazeFaceModel(blazeface, config);\n log(`load model: ${config.face.detector.modelPath.match(/\\/(.*)\\./)[1]}`);\n return model;\n}\n", "import * as tf from '../../dist/tfjs.esm.js';\n\nexport function scaleBoxCoordinates(box, factor) {\n const startPoint = [box.startPoint[0] * factor[0], box.startPoint[1] * factor[1]];\n const endPoint = [box.endPoint[0] * factor[0], box.endPoint[1] * factor[1]];\n return { startPoint, endPoint };\n}\n\nexport function getBoxSize(box) {\n return [\n Math.abs(box.endPoint[0] - box.startPoint[0]),\n Math.abs(box.endPoint[1] - box.startPoint[1]),\n ];\n}\n\nexport function getBoxCenter(box) {\n return [\n box.startPoint[0] + (box.endPoint[0] - box.startPoint[0]) / 2,\n box.startPoint[1] + (box.endPoint[1] - box.startPoint[1]) / 2,\n ];\n}\n\nexport function cutBoxFromImageAndResize(box, image, cropSize) {\n const h = image.shape[1];\n const w = image.shape[2];\n const boxes = [[\n box.startPoint[1] / h, box.startPoint[0] / w, box.endPoint[1] / h,\n box.endPoint[0] / w,\n ]];\n return tf.image.cropAndResize(image, boxes, [0], cropSize);\n}\n\nexport function enlargeBox(box, factor = 1.5) {\n const center = getBoxCenter(box);\n const size = getBoxSize(box);\n const newHalfSize = [factor * size[0] / 2, factor * size[1] / 2];\n const startPoint = [center[0] - newHalfSize[0], center[1] - newHalfSize[1]];\n const endPoint = [center[0] + newHalfSize[0], center[1] + newHalfSize[1]];\n return { startPoint, endPoint, landmarks: box.landmarks };\n}\n\nexport function squarifyBox(box) {\n const centers = getBoxCenter(box);\n const size = getBoxSize(box);\n const maxEdge = Math.max(...size);\n const halfSize = maxEdge / 2;\n const startPoint = [centers[0] - halfSize, centers[1] - halfSize];\n const endPoint = [centers[0] + halfSize, centers[1] + halfSize];\n return { startPoint, endPoint, landmarks: box.landmarks };\n}\n", "export const IDENTITY_MATRIX = [[1, 0, 0], [0, 1, 0], [0, 0, 1]];\n/**\n * Normalizes the provided angle to the range -pi to pi.\n * @param angle The angle in radians to be normalized.\n */\nexport function normalizeRadians(angle) {\n return angle - 2 * Math.PI * Math.floor((angle + Math.PI) / (2 * Math.PI));\n}\n\n/**\n * Computes the angle of rotation between two anchor points.\n * @param point1 First anchor point\n * @param point2 Second anchor point\n */\nexport function computeRotation(point1, point2) {\n const radians = Math.PI / 2 - Math.atan2(-(point2[1] - point1[1]), point2[0] - point1[0]);\n return normalizeRadians(radians);\n}\n\nexport function radToDegrees(rad) {\n return rad * 180 / Math.PI;\n}\n\nexport function buildTranslationMatrix(x, y) {\n return [[1, 0, x], [0, 1, y], [0, 0, 1]];\n}\n\nexport function dot(v1, v2) {\n let product = 0;\n for (let i = 0; i < v1.length; i++) {\n product += v1[i] * v2[i];\n }\n return product;\n}\n\nexport function getColumnFrom2DArr(arr, columnIndex) {\n const column: Array = [];\n for (let i = 0; i < arr.length; i++) {\n column.push(arr[i][columnIndex]);\n }\n return column;\n}\n\nexport function multiplyTransformMatrices(mat1, mat2) {\n const product: Array = [];\n const size = mat1.length;\n for (let row = 0; row < size; row++) {\n product.push([]);\n for (let col = 0; col < size; col++) {\n product[row].push(dot(mat1[row], getColumnFrom2DArr(mat2, col)));\n }\n }\n return product;\n}\n\nexport function buildRotationMatrix(rotation, center) {\n const cosA = Math.cos(rotation);\n const sinA = Math.sin(rotation);\n const rotationMatrix = [[cosA, -sinA, 0], [sinA, cosA, 0], [0, 0, 1]];\n const translationMatrix = buildTranslationMatrix(center[0], center[1]);\n const translationTimesRotation = multiplyTransformMatrices(translationMatrix, rotationMatrix);\n const negativeTranslationMatrix = buildTranslationMatrix(-center[0], -center[1]);\n return multiplyTransformMatrices(translationTimesRotation, negativeTranslationMatrix);\n}\n\nexport function invertTransformMatrix(matrix) {\n const rotationComponent = [[matrix[0][0], matrix[1][0]], [matrix[0][1], matrix[1][1]]];\n const translationComponent = [matrix[0][2], matrix[1][2]];\n const invertedTranslation = [\n -dot(rotationComponent[0], translationComponent),\n -dot(rotationComponent[1], translationComponent),\n ];\n return [\n rotationComponent[0].concat(invertedTranslation[0]),\n rotationComponent[1].concat(invertedTranslation[1]),\n [0, 0, 1],\n ];\n}\n\nexport function rotatePoint(homogeneousCoordinate, rotationMatrix) {\n return [\n dot(homogeneousCoordinate, rotationMatrix[0]),\n dot(homogeneousCoordinate, rotationMatrix[1]),\n ];\n}\n\nexport function xyDistanceBetweenPoints(a, b) {\n return Math.sqrt(((a[0] - b[0]) ** 2) + ((a[1] - b[1]) ** 2));\n}\n", "export const MESH_ANNOTATIONS = {\n silhouette: [\n 10, 338, 297, 332, 284, 251, 389, 356, 454, 323, 361, 288,\n 397, 365, 379, 378, 400, 377, 152, 148, 176, 149, 150, 136,\n 172, 58, 132, 93, 234, 127, 162, 21, 54, 103, 67, 109,\n ],\n lipsUpperOuter: [61, 185, 40, 39, 37, 0, 267, 269, 270, 409, 291],\n lipsLowerOuter: [146, 91, 181, 84, 17, 314, 405, 321, 375, 291],\n lipsUpperInner: [78, 191, 80, 81, 82, 13, 312, 311, 310, 415, 308],\n lipsLowerInner: [78, 95, 88, 178, 87, 14, 317, 402, 318, 324, 308],\n rightEyeUpper0: [246, 161, 160, 159, 158, 157, 173],\n rightEyeLower0: [33, 7, 163, 144, 145, 153, 154, 155, 133],\n rightEyeUpper1: [247, 30, 29, 27, 28, 56, 190],\n rightEyeLower1: [130, 25, 110, 24, 23, 22, 26, 112, 243],\n rightEyeUpper2: [113, 225, 224, 223, 222, 221, 189],\n rightEyeLower2: [226, 31, 228, 229, 230, 231, 232, 233, 244],\n rightEyeLower3: [143, 111, 117, 118, 119, 120, 121, 128, 245],\n rightEyebrowUpper: [156, 70, 63, 105, 66, 107, 55, 193],\n rightEyebrowLower: [35, 124, 46, 53, 52, 65],\n rightEyeIris: [473, 474, 475, 476, 477],\n leftEyeUpper0: [466, 388, 387, 386, 385, 384, 398],\n leftEyeLower0: [263, 249, 390, 373, 374, 380, 381, 382, 362],\n leftEyeUpper1: [467, 260, 259, 257, 258, 286, 414],\n leftEyeLower1: [359, 255, 339, 254, 253, 252, 256, 341, 463],\n leftEyeUpper2: [342, 445, 444, 443, 442, 441, 413],\n leftEyeLower2: [446, 261, 448, 449, 450, 451, 452, 453, 464],\n leftEyeLower3: [372, 340, 346, 347, 348, 349, 350, 357, 465],\n leftEyebrowUpper: [383, 300, 293, 334, 296, 336, 285, 417],\n leftEyebrowLower: [265, 353, 276, 283, 282, 295],\n leftEyeIris: [468, 469, 470, 471, 472],\n midwayBetweenEyes: [168],\n noseTip: [1],\n noseBottom: [2],\n noseRightCorner: [98],\n noseLeftCorner: [327],\n rightCheek: [205],\n leftCheek: [425],\n};\n\nexport const MESH_TO_IRIS_INDICES_MAP = [ // A mapping from facemesh model keypoints to iris model keypoints.\n { key: 'EyeUpper0', indices: [9, 10, 11, 12, 13, 14, 15] },\n { key: 'EyeUpper1', indices: [25, 26, 27, 28, 29, 30, 31] },\n { key: 'EyeUpper2', indices: [41, 42, 43, 44, 45, 46, 47] },\n { key: 'EyeLower0', indices: [0, 1, 2, 3, 4, 5, 6, 7, 8] },\n { key: 'EyeLower1', indices: [16, 17, 18, 19, 20, 21, 22, 23, 24] },\n { key: 'EyeLower2', indices: [32, 33, 34, 35, 36, 37, 38, 39, 40] },\n { key: 'EyeLower3', indices: [54, 55, 56, 57, 58, 59, 60, 61, 62] },\n // { key: 'EyebrowUpper', indices: [63, 64, 65, 66, 67, 68, 69, 70] },\n // { key: 'EyebrowLower', indices: [48, 49, 50, 51, 52, 53] },\n];\n\nexport const UV468 = [\n [0.499976992607117, 0.652534008026123],\n [0.500025987625122, 0.547487020492554],\n [0.499974012374878, 0.602371990680695],\n [0.482113003730774, 0.471979022026062],\n [0.500150978565216, 0.527155995368958],\n [0.499909996986389, 0.498252987861633],\n [0.499523013830185, 0.40106201171875],\n [0.289712011814117, 0.380764007568359],\n [0.499954998493195, 0.312398016452789],\n [0.499987006187439, 0.269918978214264],\n [0.500023007392883, 0.107050001621246],\n [0.500023007392883, 0.666234016418457],\n [0.5000159740448, 0.679224014282227],\n [0.500023007392883, 0.692348003387451],\n [0.499976992607117, 0.695277988910675],\n [0.499976992607117, 0.70593398809433],\n [0.499976992607117, 0.719385027885437],\n [0.499976992607117, 0.737019002437592],\n [0.499967992305756, 0.781370997428894],\n [0.499816000461578, 0.562981009483337],\n [0.473773002624512, 0.573909997940063],\n [0.104906998574734, 0.254140973091125],\n [0.365929991006851, 0.409575998783112],\n [0.338757991790771, 0.41302502155304],\n [0.311120003461838, 0.409460008144379],\n [0.274657994508743, 0.389131009578705],\n [0.393361985683441, 0.403706014156342],\n [0.345234006643295, 0.344011008739471],\n [0.370094001293182, 0.346076011657715],\n [0.319321990013123, 0.347265005111694],\n [0.297903001308441, 0.353591024875641],\n [0.24779200553894, 0.410809993743896],\n [0.396889001131058, 0.842755019664764],\n [0.280097991228104, 0.375599980354309],\n [0.106310002505779, 0.399955987930298],\n [0.2099249958992, 0.391353011131287],\n [0.355807989835739, 0.534406006336212],\n [0.471751004457474, 0.65040397644043],\n [0.474155008792877, 0.680191993713379],\n [0.439785003662109, 0.657229006290436],\n [0.414617002010345, 0.66654098033905],\n [0.450374007225037, 0.680860996246338],\n [0.428770989179611, 0.682690978050232],\n [0.374971002340317, 0.727805018424988],\n [0.486716985702515, 0.547628998756409],\n [0.485300987958908, 0.527395009994507],\n [0.257764995098114, 0.314490020275116],\n [0.401223003864288, 0.455172002315521],\n [0.429818987846375, 0.548614978790283],\n [0.421351999044418, 0.533740997314453],\n [0.276895999908447, 0.532056987285614],\n [0.483370006084442, 0.499586999416351],\n [0.33721199631691, 0.282882988452911],\n [0.296391993761063, 0.293242990970612],\n [0.169294998049736, 0.193813979625702],\n [0.447580009698868, 0.302609980106354],\n [0.392390012741089, 0.353887975215912],\n [0.354490011930466, 0.696784019470215],\n [0.067304998636246, 0.730105042457581],\n [0.442739009857178, 0.572826027870178],\n [0.457098007202148, 0.584792017936707],\n [0.381974011659622, 0.694710969924927],\n [0.392388999462128, 0.694203019142151],\n [0.277076005935669, 0.271932005882263],\n [0.422551989555359, 0.563233017921448],\n [0.385919004678726, 0.281364023685455],\n [0.383103013038635, 0.255840003490448],\n [0.331431001424789, 0.119714021682739],\n [0.229923993349075, 0.232002973556519],\n [0.364500999450684, 0.189113974571228],\n [0.229622006416321, 0.299540996551514],\n [0.173287004232407, 0.278747975826263],\n [0.472878992557526, 0.666198015213013],\n [0.446828007698059, 0.668527007102966],\n [0.422762006521225, 0.673889994621277],\n [0.445307999849319, 0.580065965652466],\n [0.388103008270264, 0.693961024284363],\n [0.403039008378983, 0.706539988517761],\n [0.403629004955292, 0.693953037261963],\n [0.460041999816895, 0.557139039039612],\n 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[0.72012197971344, 0.714666962623596],\n [0.866151988506317, 0.682704985141754],\n [0.663187026977539, 0.644596993923187],\n [0.570082008838654, 0.466325998306274],\n [0.544561982154846, 0.548375964164734],\n [0.562758982181549, 0.558784961700439],\n [0.531987011432648, 0.530140042304993],\n [0.585271000862122, 0.335177004337311],\n [0.622952997684479, 0.32277899980545],\n [0.655896008014679, 0.320163011550903],\n [0.687132000923157, 0.322345972061157],\n [0.716481983661652, 0.333200991153717],\n [0.758756995201111, 0.382786989212036],\n [0.897013008594513, 0.468769013881683],\n [0.732392013072968, 0.424547016620636],\n [0.70211398601532, 0.433162987232208],\n [0.66652500629425, 0.433866024017334],\n [0.633504986763, 0.426087975502014],\n [0.603875994682312, 0.416586995124817],\n [0.579657971858978, 0.409945011138916],\n [0.992439985275269, 0.480777025222778],\n [0.567192018032074, 0.569419980049133],\n [0.54136598110199, 0.478899002075195],\n [0.526564002037048, 0.546118021011353],\n [0.523913025856018, 0.563830018043518],\n [0.531529009342194, 0.555056989192963],\n [0.566035985946655, 0.582329034805298],\n [0.51631098985672, 0.563053965568542],\n [0.5174720287323, 0.577877044677734],\n [0.573594987392426, 0.389806985855103],\n [0.560697972774506, 0.395331978797913],\n [0.549755990505219, 0.399751007556915],\n [0.710287988185883, 0.368252992630005],\n [0.723330020904541, 0.363372981548309],\n];\n\nexport const TRI468 = [\n 127, 34, 139, 11, 0, 37, 232, 231, 120, 72, 37, 39, 128, 121, 47, 232, 121, 128, 104, 69, 67, 175, 171, 148, 157, 154, 155, 118, 50, 101, 73, 39, 40, 9,\n 151, 108, 48, 115, 131, 194, 204, 211, 74, 40, 185, 80, 42, 183, 40, 92, 186, 230, 229, 118, 202, 212, 214, 83, 18, 17, 76, 61, 146, 160, 29, 30, 56,\n 157, 173, 106, 204, 194, 135, 214, 192, 203, 165, 98, 21, 71, 68, 51, 45, 4, 144, 24, 23, 77, 146, 91, 205, 50, 187, 201, 200, 18, 91, 106, 182, 90, 91,\n 181, 85, 84, 17, 206, 203, 36, 148, 171, 140, 92, 40, 39, 193, 189, 244, 159, 158, 28, 247, 246, 161, 236, 3, 196, 54, 68, 104, 193, 168, 8, 117,\n 228, 31, 189, 193, 55, 98, 97, 99, 126, 47, 100, 166, 79, 218, 155, 154, 26, 209, 49, 131, 135, 136, 150, 47, 126, 217, 223, 52, 53, 45, 51, 134, 211,\n 170, 140, 67, 69, 108, 43, 106, 91, 230, 119, 120, 226, 130, 247, 63, 53, 52, 238, 20, 242, 46, 70, 156, 78, 62, 96, 46, 53, 63, 143, 34, 227, 173,\n 155, 133, 123, 117, 111, 44, 125, 19, 236, 134, 51, 216, 206, 205, 154, 153, 22, 39, 37, 167, 200, 201, 208, 36, 142, 100, 57, 212, 202, 20, 60, 99, 28,\n 158, 157, 35, 226, 113, 160, 159, 27, 204, 202, 210, 113, 225, 46, 43, 202, 204, 62, 76, 77, 137, 123, 116, 41, 38, 72, 203, 129, 142, 64, 98, 240, 49,\n 102, 64, 41, 73, 74, 212, 216, 207, 42, 74, 184, 169, 170, 211, 170, 149, 176, 105, 66, 69, 122, 6, 168, 123, 147, 187, 96, 77, 90, 65, 55, 107, 89,\n 90, 180, 101, 100, 120, 63, 105, 104, 93, 137, 227, 15, 86, 85, 129, 102, 49, 14, 87, 86, 55, 8, 9, 100, 47, 121, 145, 23, 22, 88, 89, 179, 6, 122,\n 196, 88, 95, 96, 138, 172, 136, 215, 58, 172, 115, 48, 219, 42, 80, 81, 195, 3, 51, 43, 146, 61, 171, 175, 199, 81, 82, 38, 53, 46, 225, 144, 163, 110,\n 246, 33, 7, 52, 65, 66, 229, 228, 117, 34, 127, 234, 107, 108, 69, 109, 108, 151, 48, 64, 235, 62, 78, 191, 129, 209, 126, 111, 35, 143, 163, 161, 246,\n 117, 123, 50, 222, 65, 52, 19, 125, 141, 221, 55, 65, 3, 195, 197, 25, 7, 33, 220, 237, 44, 70, 71, 139, 122, 193, 245, 247, 130, 33, 71, 21, 162,\n 153, 158, 159, 170, 169, 150, 188, 174, 196, 216, 186, 92, 144, 160, 161, 2, 97, 167, 141, 125, 241, 164, 167, 37, 72, 38, 12, 145, 159, 160, 38, 82, 13,\n 63, 68, 71, 226, 35, 111, 158, 153, 154, 101, 50, 205, 206, 92, 165, 209, 198, 217, 165, 167, 97, 220, 115, 218, 133, 112, 243, 239, 238, 241, 214,\n 135, 169, 190, 173, 133, 171, 208, 32, 125, 44, 237, 86, 87, 178, 85, 86, 179, 84, 85, 180, 83, 84, 181, 201, 83, 182, 137, 93, 132, 76, 62, 183, 61,\n 76, 184, 57, 61, 185, 212, 57, 186, 214, 207, 187, 34, 143, 156, 79, 239, 237, 123, 137, 177, 44, 1, 4, 201, 194, 32, 64, 102, 129, 213, 215, 138, 59,\n 166, 219, 242, 99, 97, 2, 94, 141, 75, 59, 235, 24, 110, 228, 25, 130, 226, 23, 24, 229, 22, 23, 230, 26, 22, 231, 112, 26, 232, 189, 190, 243, 221, 56,\n 190, 28, 56, 221, 27, 28, 222, 29, 27, 223, 30, 29, 224, 247, 30, 225, 238, 79, 20, 166, 59, 75, 60, 75, 240, 147, 177, 215, 20, 79, 166, 187, 147, 213,\n 112, 233, 244, 233, 128, 245, 128, 114, 188, 114, 217, 174, 131, 115, 220, 217, 198, 236, 198, 131, 134, 177, 132, 58, 143, 35, 124, 110, 163, 7, 228,\n 110, 25, 356, 389, 368, 11, 302, 267, 452, 350, 349, 302, 303, 269, 357, 343, 277, 452, 453, 357, 333, 332, 297, 175, 152, 377, 384, 398, 382, 347,\n 348, 330, 303, 304, 270, 9, 336, 337, 278, 279, 360, 418, 262, 431, 304, 408, 409, 310, 415, 407, 270, 409, 410, 450, 348, 347, 422, 430, 434, 313,\n 314, 17, 306, 307, 375, 387, 388, 260, 286, 414, 398, 335, 406, 418, 364, 367, 416, 423, 358, 327, 251, 284, 298, 281, 5, 4, 373, 374, 253, 307, 320,\n 321, 425, 427, 411, 421, 313, 18, 321, 405, 406, 320, 404, 405, 315, 16, 17, 426, 425, 266, 377, 400, 369, 322, 391, 269, 417, 465, 464, 386, 257, 258,\n 466, 260, 388, 456, 399, 419, 284, 332, 333, 417, 285, 8, 346, 340, 261, 413, 441, 285, 327, 460, 328, 355, 371, 329, 392, 439, 438, 382, 341, 256,\n 429, 420, 360, 364, 394, 379, 277, 343, 437, 443, 444, 283, 275, 440, 363, 431, 262, 369, 297, 338, 337, 273, 375, 321, 450, 451, 349, 446, 342, 467,\n 293, 334, 282, 458, 461, 462, 276, 353, 383, 308, 324, 325, 276, 300, 293, 372, 345, 447, 382, 398, 362, 352, 345, 340, 274, 1, 19, 456, 248, 281, 436,\n 427, 425, 381, 256, 252, 269, 391, 393, 200, 199, 428, 266, 330, 329, 287, 273, 422, 250, 462, 328, 258, 286, 384, 265, 353, 342, 387, 259, 257, 424,\n 431, 430, 342, 353, 276, 273, 335, 424, 292, 325, 307, 366, 447, 345, 271, 303, 302, 423, 266, 371, 294, 455, 460, 279, 278, 294, 271, 272, 304, 432,\n 434, 427, 272, 407, 408, 394, 430, 431, 395, 369, 400, 334, 333, 299, 351, 417, 168, 352, 280, 411, 325, 319, 320, 295, 296, 336, 319, 403, 404, 330,\n 348, 349, 293, 298, 333, 323, 454, 447, 15, 16, 315, 358, 429, 279, 14, 15, 316, 285, 336, 9, 329, 349, 350, 374, 380, 252, 318, 402, 403, 6, 197, 419,\n 318, 319, 325, 367, 364, 365, 435, 367, 397, 344, 438, 439, 272, 271, 311, 195, 5, 281, 273, 287, 291, 396, 428, 199, 311, 271, 268, 283, 444, 445,\n 373, 254, 339, 263, 466, 249, 282, 334, 296, 449, 347, 346, 264, 447, 454, 336, 296, 299, 338, 10, 151, 278, 439, 455, 292, 407, 415, 358, 371, 355,\n 340, 345, 372, 390, 249, 466, 346, 347, 280, 442, 443, 282, 19, 94, 370, 441, 442, 295, 248, 419, 197, 263, 255, 359, 440, 275, 274, 300, 383, 368,\n 351, 412, 465, 263, 467, 466, 301, 368, 389, 380, 374, 386, 395, 378, 379, 412, 351, 419, 436, 426, 322, 373, 390, 388, 2, 164, 393, 370, 462, 461,\n 164, 0, 267, 302, 11, 12, 374, 373, 387, 268, 12, 13, 293, 300, 301, 446, 261, 340, 385, 384, 381, 330, 266, 425, 426, 423, 391, 429, 355, 437, 391,\n 327, 326, 440, 457, 438, 341, 382, 362, 459, 457, 461, 434, 430, 394, 414, 463, 362, 396, 369, 262, 354, 461, 457, 316, 403, 402, 315, 404, 403, 314,\n 405, 404, 313, 406, 405, 421, 418, 406, 366, 401, 361, 306, 408, 407, 291, 409, 408, 287, 410, 409, 432, 436, 410, 434, 416, 411, 264, 368, 383, 309,\n 438, 457, 352, 376, 401, 274, 275, 4, 421, 428, 262, 294, 327, 358, 433, 416, 367, 289, 455, 439, 462, 370, 326, 2, 326, 370, 305, 460, 455, 254,\n 449, 448, 255, 261, 446, 253, 450, 449, 252, 451, 450, 256, 452, 451, 341, 453, 452, 413, 464, 463, 441, 413, 414, 258, 442, 441, 257, 443, 442, 259,\n 444, 443, 260, 445, 444, 467, 342, 445, 459, 458, 250, 289, 392, 290, 290, 328, 460, 376, 433, 435, 250, 290, 392, 411, 416, 433, 341, 463, 464, 453,\n 464, 465, 357, 465, 412, 343, 412, 399, 360, 363, 440, 437, 399, 456, 420, 456, 363, 401, 435, 288, 372, 383, 353, 339, 255, 249, 448, 261, 255, 133,\n 243, 190, 133, 155, 112, 33, 246, 247, 33, 130, 25, 398, 384, 286, 362, 398, 414, 362, 463, 341, 263, 359, 467, 263, 249, 255, 466, 467, 260, 75, 60,\n 166, 238, 239, 79, 162, 127, 139, 72, 11, 37, 121, 232, 120, 73, 72, 39, 114, 128, 47, 233, 232, 128, 103, 104, 67, 152, 175, 148, 173, 157, 155,\n 119, 118, 101, 74, 73, 40, 107, 9, 108, 49, 48, 131, 32, 194, 211, 184, 74, 185, 191, 80, 183, 185, 40, 186, 119, 230, 118, 210, 202, 214, 84, 83, 17,\n 77, 76, 146, 161, 160, 30, 190, 56, 173, 182, 106, 194, 138, 135, 192, 129, 203, 98, 54, 21, 68, 5, 51, 4, 145, 144, 23, 90, 77, 91, 207, 205, 187, 83,\n 201, 18, 181, 91, 182, 180, 90, 181, 16, 85, 17, 205, 206, 36, 176, 148, 140, 165, 92, 39, 245, 193, 244, 27, 159, 28, 30, 247, 161, 174, 236, 196,\n 103, 54, 104, 55, 193, 8, 111, 117, 31, 221, 189, 55, 240, 98, 99, 142, 126, 100, 219, 166, 218, 112, 155, 26, 198, 209, 131, 169, 135, 150, 114, 47,\n 217, 224, 223, 53, 220, 45, 134, 32, 211, 140, 109, 67, 108, 146, 43, 91, 231, 230, 120, 113, 226, 247, 105, 63, 52, 241, 238, 242, 124, 46, 156, 95,\n 78, 96, 70, 46, 63, 116, 143, 227, 116, 123, 111, 1, 44, 19, 3, 236, 51, 207, 216, 205, 26, 154, 22, 165, 39, 167, 199, 200, 208, 101, 36, 100, 43,\n 57, 202, 242, 20, 99, 56, 28, 157, 124, 35, 113, 29, 160, 27, 211, 204, 210, 124, 113, 46, 106, 43, 204, 96, 62, 77, 227, 137, 116, 73, 41, 72, 36, 203,\n 142, 235, 64, 240, 48, 49, 64, 42, 41, 74, 214, 212, 207, 183, 42, 184, 210, 169, 211, 140, 170, 176, 104, 105, 69, 193, 122, 168, 50, 123, 187, 89, 96,\n 90, 66, 65, 107, 179, 89, 180, 119, 101, 120, 68, 63, 104, 234, 93, 227, 16, 15, 85, 209, 129, 49, 15, 14, 86, 107, 55, 9, 120, 100, 121, 153, 145, 22,\n 178, 88, 179, 197, 6, 196, 89, 88, 96, 135, 138, 136, 138, 215, 172, 218, 115, 219, 41, 42, 81, 5, 195, 51, 57, 43, 61, 208, 171, 199, 41, 81, 38,\n 224, 53, 225, 24, 144, 110, 105, 52, 66, 118, 229, 117, 227, 34, 234, 66, 107, 69, 10, 109, 151, 219, 48, 235, 183, 62, 191, 142, 129, 126, 116, 111,\n 143, 7, 163, 246, 118, 117, 50, 223, 222, 52, 94, 19, 141, 222, 221, 65, 196, 3, 197, 45, 220, 44, 156, 70, 139, 188, 122, 245, 139, 71, 162, 145,\n 153, 159, 149, 170, 150, 122, 188, 196, 206, 216, 92, 163, 144, 161, 164, 2, 167, 242, 141, 241, 0, 164, 37, 11, 72, 12, 144, 145, 160, 12, 38, 13, 70,\n 63, 71, 31, 226, 111, 157, 158, 154, 36, 101, 205, 203, 206, 165, 126, 209, 217, 98, 165, 97, 237, 220, 218, 237, 239, 241, 210, 214, 169, 140, 171, 32,\n 241, 125, 237, 179, 86, 178, 180, 85, 179, 181, 84, 180, 182, 83, 181, 194, 201, 182, 177, 137, 132, 184, 76, 183, 185, 61, 184, 186, 57, 185, 216, 212,\n 186, 192, 214, 187, 139, 34, 156, 218, 79, 237, 147, 123, 177, 45, 44, 4, 208, 201, 32, 98, 64, 129, 192, 213, 138, 235, 59, 219, 141, 242, 97, 97, 2,\n 141, 240, 75, 235, 229, 24, 228, 31, 25, 226, 230, 23, 229, 231, 22, 230, 232, 26, 231, 233, 112, 232, 244, 189, 243, 189, 221, 190, 222, 28, 221,\n 223, 27, 222, 224, 29, 223, 225, 30, 224, 113, 247, 225, 99, 60, 240, 213, 147, 215, 60, 20, 166, 192, 187, 213, 243, 112, 244, 244, 233, 245, 245,\n 128, 188, 188, 114, 174, 134, 131, 220, 174, 217, 236, 236, 198, 134, 215, 177, 58, 156, 143, 124, 25, 110, 7, 31, 228, 25, 264, 356, 368, 0, 11, 267,\n 451, 452, 349, 267, 302, 269, 350, 357, 277, 350, 452, 357, 299, 333, 297, 396, 175, 377, 381, 384, 382, 280, 347, 330, 269, 303, 270, 151, 9, 337,\n 344, 278, 360, 424, 418, 431, 270, 304, 409, 272, 310, 407, 322, 270, 410, 449, 450, 347, 432, 422, 434, 18, 313, 17, 291, 306, 375, 259, 387, 260,\n 424, 335, 418, 434, 364, 416, 391, 423, 327, 301, 251, 298, 275, 281, 4, 254, 373, 253, 375, 307, 321, 280, 425, 411, 200, 421, 18, 335, 321, 406,\n 321, 320, 405, 314, 315, 17, 423, 426, 266, 396, 377, 369, 270, 322, 269, 413, 417, 464, 385, 386, 258, 248, 456, 419, 298, 284, 333, 168, 417, 8,\n 448, 346, 261, 417, 413, 285, 326, 327, 328, 277, 355, 329, 309, 392, 438, 381, 382, 256, 279, 429, 360, 365, 364, 379, 355, 277, 437, 282, 443, 283,\n 281, 275, 363, 395, 431, 369, 299, 297, 337, 335, 273, 321, 348, 450, 349, 359, 446, 467, 283, 293, 282, 250, 458, 462, 300, 276, 383, 292, 308, 325,\n 283, 276, 293, 264, 372, 447, 346, 352, 340, 354, 274, 19, 363, 456, 281, 426, 436, 425, 380, 381, 252, 267, 269, 393, 421, 200, 428, 371, 266, 329,\n 432, 287, 422, 290, 250, 328, 385, 258, 384, 446, 265, 342, 386, 387, 257, 422, 424, 430, 445, 342, 276, 422, 273, 424, 306, 292, 307, 352, 366, 345,\n 268, 271, 302, 358, 423, 371, 327, 294, 460, 331, 279, 294, 303, 271, 304, 436, 432, 427, 304, 272, 408, 395, 394, 431, 378, 395, 400, 296, 334, 299,\n 6, 351, 168, 376, 352, 411, 307, 325, 320, 285, 295, 336, 320, 319, 404, 329, 330, 349, 334, 293, 333, 366, 323, 447, 316, 15, 315, 331, 358, 279,\n 317, 14, 316, 8, 285, 9, 277, 329, 350, 253, 374, 252, 319, 318, 403, 351, 6, 419, 324, 318, 325, 397, 367, 365, 288, 435, 397, 278, 344, 439, 310,\n 272, 311, 248, 195, 281, 375, 273, 291, 175, 396, 199, 312, 311, 268, 276, 283, 445, 390, 373, 339, 295, 282, 296, 448, 449, 346, 356, 264, 454, 337,\n 336, 299, 337, 338, 151, 294, 278, 455, 308, 292, 415, 429, 358, 355, 265, 340, 372, 388, 390, 466, 352, 346, 280, 295, 442, 282, 354, 19, 370, 285,\n 441, 295, 195, 248, 197, 457, 440, 274, 301, 300, 368, 417, 351, 465, 251, 301, 389, 385, 380, 386, 394, 395, 379, 399, 412, 419, 410, 436, 322, 387,\n 373, 388, 326, 2, 393, 354, 370, 461, 393, 164, 267, 268, 302, 12, 386, 374, 387, 312, 268, 13, 298, 293, 301, 265, 446, 340, 380, 385, 381, 280, 330,\n 425, 322, 426, 391, 420, 429, 437, 393, 391, 326, 344, 440, 438, 458, 459, 461, 364, 434, 394, 428, 396, 262, 274, 354, 457, 317, 316, 402, 316, 315,\n 403, 315, 314, 404, 314, 313, 405, 313, 421, 406, 323, 366, 361, 292, 306, 407, 306, 291, 408, 291, 287, 409, 287, 432, 410, 427, 434, 411, 372, 264,\n 383, 459, 309, 457, 366, 352, 401, 1, 274, 4, 418, 421, 262, 331, 294, 358, 435, 433, 367, 392, 289, 439, 328, 462, 326, 94, 2, 370, 289, 305, 455, 339,\n 254, 448, 359, 255, 446, 254, 253, 449, 253, 252, 450, 252, 256, 451, 256, 341, 452, 414, 413, 463, 286, 441, 414, 286, 258, 441, 258, 257, 442, 257,\n 259, 443, 259, 260, 444, 260, 467, 445, 309, 459, 250, 305, 289, 290, 305, 290, 460, 401, 376, 435, 309, 250, 392, 376, 411, 433, 453, 341, 464, 357,\n 453, 465, 343, 357, 412, 437, 343, 399, 344, 360, 440, 420, 437, 456, 360, 420, 363, 361, 401, 288, 265, 372, 353, 390, 339, 249, 339, 448, 255];\n\nexport const TRI68 = [0, 1, 36, 0, 36, 17, 1, 2, 41, 1, 41, 36, 2, 3, 31, 2, 31, 41, 3, 4, 48, 3, 48, 31, 4, 5, 48, 5, 6, 48, 6, 7, 59, 6, 59, 48, 7, 8, 58, 7, 58, 59,\n 8, 9, 56, 8, 56, 57, 8, 57, 58, 9, 10, 55, 9, 55, 56, 10, 11, 54, 10, 54, 55, 11, 12, 54, 12, 13, 54, 13, 14, 35, 13, 35, 54, 14, 15, 46, 14, 46, 35, 15, 16,\n 45, 15, 45, 46, 16, 26, 45, 17, 36, 18, 18, 37, 19, 18, 36, 37, 19, 38, 20, 19, 37, 38, 20, 39, 21, 20, 38, 39, 21, 39, 27, 22, 42, 23, 22, 27, 42, 23, 43, 24,\n 23, 42, 43, 24, 44, 25, 24, 43, 44, 25, 45, 26, 25, 44, 45, 27, 39, 28, 27, 28, 42, 28, 39, 29, 28, 29, 42, 29, 31, 30, 29, 30, 35, 29, 40, 31, 29, 35, 47, 29,\n 39, 40, 29, 47, 42, 30, 31, 32, 30, 32, 33, 30, 33, 34, 30, 34, 35, 31, 50, 32, 31, 40, 41, 31, 48, 49, 31, 49, 50, 32, 51, 33, 32, 50, 51, 33, 51, 34, 34, 52,\n 35, 34, 51, 52, 35, 46, 47, 35, 52, 53, 35, 53, 54, 36, 41, 37, 37, 40, 38, 37, 41, 40, 38, 40, 39, 42, 47, 43, 43, 47, 44, 44, 46, 45, 44, 47, 46, 48, 60, 49,\n 48, 59, 60, 49, 61, 50, 49, 60, 61, 50, 62, 51, 50, 61, 62, 51, 62, 52, 52, 63, 53, 52, 62, 63, 53, 64, 54, 53, 63, 64, 54, 64, 55, 55, 65, 56, 55, 64, 65, 56,\n 66, 57, 56, 65, 66, 57, 66, 58, 58, 67, 59, 58, 66, 67, 59, 67, 60, 60, 67, 61, 61, 66, 62, 61, 67, 66, 62, 66, 63, 63, 65, 64, 63, 66, 65, 21, 27, 22];\n\nexport const TRI33 = [\n /* eyes */ 0, 8, 7, 7, 8, 1, 2, 10, 9, 9, 10, 3,\n /* brows */ 17, 0, 18, 18, 0, 7, 18, 7, 19, 19, 7, 1, 19, 1, 11, 19, 11, 20, 21, 3, 22, 21, 9, 3, 20, 9, 21, 20, 2, 9, 20, 11, 2,\n /* 4head */ 23, 17, 18, 25, 21, 22, 24, 19, 20, 24, 18, 19, 24, 20, 21, 24, 23, 18, 24, 21, 25,\n /* nose */ 11, 12, 4, 11, 4, 13, 1, 12, 11, 11, 13, 2, 12, 14, 4, 4, 14, 13,\n /* up-lip */ 14, 5, 15, 14, 15, 6, 12, 5, 14, 14, 6, 13,\n /* cheeks */ 8, 12, 1, 2, 13, 10, 8, 26, 12, 10, 13, 27, 26, 5, 12, 13, 6, 27, 0, 26, 8, 10, 27, 3,\n /* chin */ 5, 32, 16, 16, 32, 6, 5, 30, 32, 6, 32, 31,\n /* cont */ 26, 30, 5, 27, 6, 31, 0, 28, 26, 3, 27, 29, 17, 28, 0, 3, 29, 22, 23, 28, 17, 22, 29, 25, 28, 30, 26, 27, 31, 29,\n];\n\nexport const TRI7 = [0, 4, 1, 2, 4, 3, 4, 5, 6];\n\nexport const VTX68 = [\n /* cont */ 127, 234, 132, 58, 172, 150, 149, 148, 152, 377, 378, 379, 397, 288, 361, 454, 356,\n /* brows */ 70, 63, 105, 66, 107, 336, 296, 334, 293, 300,\n /* nose */ 168, 6, 195, 4, 98, 97, 2, 326, 327,\n /* eyes */ 33, 160, 158, 133, 153, 144, 362, 385, 387, 263, 373, 380,\n /* lip */ 57, 40, 37, 0, 267, 270, 287, 321, 314, 17, 84, 91,\n /* mouth */ 78, 81, 13, 311, 308, 402, 14, 178,\n];\n\nexport const VTX33 = [33, 133, 362, 263, 1, 62, 308, 159, 145, 386, 374, 6, 102, 331, 2, 13, 14, 70, 105, 107, 336, 334, 300, 54, 10, 284, 50, 280, 234, 454, 58, 288, 152];\n\nexport const VTX7 = [33, 133, 362, 263, 1, 78, 308];\n\nexport const UV68 = VTX68.map((x) => UV468[x]);\n\nexport const UV33 = VTX33.map((x) => UV468[x]);\n\nexport const UV7 = VTX7.map((x) => UV468[x]);\n", "/* eslint-disable class-methods-use-this */\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as bounding from './box';\nimport * as util from './util';\nimport * as coords from './coords';\n\nconst LANDMARKS_COUNT = 468;\nconst MESH_MOUTH_INDEX = 13;\nconst MESH_KEYPOINTS_LINE_OF_SYMMETRY_INDICES = [MESH_MOUTH_INDEX, coords.MESH_ANNOTATIONS['midwayBetweenEyes'][0]];\nconst BLAZEFACE_MOUTH_INDEX = 3;\nconst BLAZEFACE_NOSE_INDEX = 2;\nconst BLAZEFACE_KEYPOINTS_LINE_OF_SYMMETRY_INDICES = [BLAZEFACE_MOUTH_INDEX, BLAZEFACE_NOSE_INDEX];\nconst LEFT_EYE_OUTLINE = coords.MESH_ANNOTATIONS['leftEyeLower0'];\nconst LEFT_EYE_BOUNDS = [LEFT_EYE_OUTLINE[0], LEFT_EYE_OUTLINE[LEFT_EYE_OUTLINE.length - 1]];\nconst RIGHT_EYE_OUTLINE = coords.MESH_ANNOTATIONS['rightEyeLower0'];\nconst RIGHT_EYE_BOUNDS = [RIGHT_EYE_OUTLINE[0], RIGHT_EYE_OUTLINE[RIGHT_EYE_OUTLINE.length - 1]];\nconst IRIS_UPPER_CENTER_INDEX = 3;\nconst IRIS_LOWER_CENTER_INDEX = 4;\nconst IRIS_IRIS_INDEX = 71;\nconst IRIS_NUM_COORDINATES = 76;\n\n// Replace the raw coordinates returned by facemesh with refined iris model coordinates. Update the z coordinate to be an average of the original and the new. This produces the best visual effect.\nfunction replaceRawCoordinates(rawCoords, newCoords, prefix, keys = null) {\n for (let i = 0; i < coords.MESH_TO_IRIS_INDICES_MAP.length; i++) {\n const { key, indices } = coords.MESH_TO_IRIS_INDICES_MAP[i];\n const originalIndices = coords.MESH_ANNOTATIONS[`${prefix}${key}`];\n // @ts-ignore\n if (!keys || keys.includes(key)) {\n for (let j = 0; j < indices.length; j++) {\n const index = indices[j];\n rawCoords[originalIndices[j]] = [\n newCoords[index][0], newCoords[index][1],\n (newCoords[index][2] + rawCoords[originalIndices[j]][2]) / 2,\n ];\n }\n }\n }\n}\n// The Pipeline coordinates between the bounding box and skeleton models.\nexport class Pipeline {\n storedBoxes: any;\n runsWithoutFaceDetector: number;\n boundingBoxDetector: any;\n meshDetector: any;\n irisModel: any;\n meshWidth: number;\n meshHeight: number;\n irisSize: number;\n irisEnlarge: number;\n skipped: number;\n detectedFaces: number;\n\n constructor(boundingBoxDetector, meshDetector, irisModel, config) {\n // An array of facial bounding boxes.\n this.storedBoxes = [];\n this.runsWithoutFaceDetector = 0;\n this.boundingBoxDetector = boundingBoxDetector;\n this.meshDetector = meshDetector;\n this.irisModel = irisModel;\n this.meshWidth = config.face.mesh.inputSize;\n this.meshHeight = config.face.mesh.inputSize;\n this.irisSize = config.face.iris.inputSize;\n this.irisEnlarge = 2.3;\n this.skipped = 0;\n this.detectedFaces = 0;\n }\n\n transformRawCoords(rawCoords, box, angle, rotationMatrix) {\n const boxSize = bounding.getBoxSize({ startPoint: box.startPoint, endPoint: box.endPoint });\n const scaleFactor = [boxSize[0] / this.meshWidth, boxSize[1] / this.meshHeight];\n const coordsScaled = rawCoords.map((coord) => ([\n scaleFactor[0] * (coord[0] - this.meshWidth / 2),\n scaleFactor[1] * (coord[1] - this.meshHeight / 2), coord[2],\n ]));\n const coordsRotationMatrix = (angle !== 0) ? util.buildRotationMatrix(angle, [0, 0]) : util.IDENTITY_MATRIX;\n const coordsRotated = (angle !== 0) ? coordsScaled.map((coord) => ([...util.rotatePoint(coord, coordsRotationMatrix), coord[2]])) : coordsScaled;\n const inverseRotationMatrix = (angle !== 0) ? util.invertTransformMatrix(rotationMatrix) : util.IDENTITY_MATRIX;\n const boxCenter = [...bounding.getBoxCenter({ startPoint: box.startPoint, endPoint: box.endPoint }), 1];\n return coordsRotated.map((coord) => ([\n coord[0] + util.dot(boxCenter, inverseRotationMatrix[0]),\n coord[1] + util.dot(boxCenter, inverseRotationMatrix[1]),\n coord[2],\n ]));\n }\n\n getLeftToRightEyeDepthDifference(rawCoords) {\n const leftEyeZ = rawCoords[LEFT_EYE_BOUNDS[0]][2];\n const rightEyeZ = rawCoords[RIGHT_EYE_BOUNDS[0]][2];\n return leftEyeZ - rightEyeZ;\n }\n\n // Returns a box describing a cropped region around the eye fit for passing to the iris model.\n getEyeBox(rawCoords, face, eyeInnerCornerIndex, eyeOuterCornerIndex, flip = false) {\n const box = bounding.squarifyBox(bounding.enlargeBox(this.calculateLandmarksBoundingBox([rawCoords[eyeInnerCornerIndex], rawCoords[eyeOuterCornerIndex]]), this.irisEnlarge));\n const boxSize = bounding.getBoxSize(box);\n let crop = tf.image.cropAndResize(face, [[\n box.startPoint[1] / this.meshHeight,\n box.startPoint[0] / this.meshWidth, box.endPoint[1] / this.meshHeight,\n box.endPoint[0] / this.meshWidth,\n ]], [0], [this.irisSize, this.irisSize]);\n if (flip) {\n crop = tf.image.flipLeftRight(crop);\n }\n return { box, boxSize, crop };\n }\n\n // Given a cropped image of an eye, returns the coordinates of the contours surrounding the eye and the iris.\n getEyeCoords(eyeData, eyeBox, eyeBoxSize, flip = false) {\n const eyeRawCoords: Array = [];\n for (let i = 0; i < IRIS_NUM_COORDINATES; i++) {\n const x = eyeData[i * 3];\n const y = eyeData[i * 3 + 1];\n const z = eyeData[i * 3 + 2];\n eyeRawCoords.push([\n (flip ? (1 - (x / this.irisSize)) : (x / this.irisSize)) * eyeBoxSize[0] + eyeBox.startPoint[0],\n (y / this.irisSize) * eyeBoxSize[1] + eyeBox.startPoint[1], z,\n ]);\n }\n return { rawCoords: eyeRawCoords, iris: eyeRawCoords.slice(IRIS_IRIS_INDEX) };\n }\n\n // The z-coordinates returned for the iris are unreliable, so we take the z values from the surrounding keypoints.\n getAdjustedIrisCoords(rawCoords, irisCoords, direction) {\n const upperCenterZ = rawCoords[coords.MESH_ANNOTATIONS[`${direction}EyeUpper0`][IRIS_UPPER_CENTER_INDEX]][2];\n const lowerCenterZ = rawCoords[coords.MESH_ANNOTATIONS[`${direction}EyeLower0`][IRIS_LOWER_CENTER_INDEX]][2];\n const averageZ = (upperCenterZ + lowerCenterZ) / 2;\n // Iris indices: 0: center | 1: right | 2: above | 3: left | 4: below\n return irisCoords.map((coord, i) => {\n let z = averageZ;\n if (i === 2) {\n z = upperCenterZ;\n } else if (i === 4) {\n z = lowerCenterZ;\n }\n return [coord[0], coord[1], z];\n });\n }\n\n async predict(input, config) {\n let useFreshBox = false;\n // run new detector every skipFrames unless we only want box to start with\n let detector;\n if ((this.skipped === 0) || (this.skipped > config.face.detector.skipFrames) || !config.face.mesh.enabled || !config.videoOptimized) {\n detector = await this.boundingBoxDetector.getBoundingBoxes(input);\n this.skipped = 0;\n }\n if (config.videoOptimized) this.skipped++;\n\n // if detector result count doesn't match current working set, use it to reset current working set\n if (detector && detector.boxes && (!config.face.mesh.enabled || (detector.boxes.length !== this.detectedFaces) && (this.detectedFaces !== config.face.detector.maxFaces))) {\n this.storedBoxes = [];\n this.detectedFaces = 0;\n for (const possible of detector.boxes) {\n this.storedBoxes.push({ startPoint: possible.box.startPoint.dataSync(), endPoint: possible.box.endPoint.dataSync(), landmarks: possible.landmarks, confidence: possible.confidence });\n }\n if (this.storedBoxes.length > 0) useFreshBox = true;\n }\n\n if (useFreshBox) {\n if (!detector || !detector.boxes || (detector.boxes.length === 0)) {\n this.storedBoxes = [];\n this.detectedFaces = 0;\n return null;\n }\n for (let i = 0; i < this.storedBoxes.length; i++) {\n const scaledBox = bounding.scaleBoxCoordinates({ startPoint: this.storedBoxes[i].startPoint, endPoint: this.storedBoxes[i].endPoint }, detector.scaleFactor);\n const enlargedBox = bounding.enlargeBox(scaledBox);\n const squarifiedBox = bounding.squarifyBox(enlargedBox);\n const landmarks = this.storedBoxes[i].landmarks.arraySync();\n const confidence = this.storedBoxes[i].confidence;\n this.storedBoxes[i] = { ...squarifiedBox, confidence, landmarks };\n }\n this.runsWithoutFaceDetector = 0;\n }\n if (detector && detector.boxes) {\n detector.boxes.forEach((prediction) => {\n prediction.box.startPoint.dispose();\n prediction.box.endPoint.dispose();\n prediction.landmarks.dispose();\n });\n }\n\n // log('face', `skipped: ${this.skipped} max: ${config.face.detector.maxFaces} detected: ${this.detectedFaces} stored: ${this.storedBoxes.length} new: ${detector?.boxes?.length}`);\n let results = tf.tidy(() => this.storedBoxes.map((box, i) => {\n // The facial bounding box landmarks could come either from blazeface (if we are using a fresh box), or from the mesh model (if we are reusing an old box).\n let face;\n let angle = 0;\n let rotationMatrix;\n if (config.face.detector.rotation) {\n const [indexOfMouth, indexOfForehead] = (box.landmarks.length >= LANDMARKS_COUNT) ? MESH_KEYPOINTS_LINE_OF_SYMMETRY_INDICES : BLAZEFACE_KEYPOINTS_LINE_OF_SYMMETRY_INDICES;\n angle = util.computeRotation(box.landmarks[indexOfMouth], box.landmarks[indexOfForehead]);\n const faceCenter = bounding.getBoxCenter({ startPoint: box.startPoint, endPoint: box.endPoint });\n const faceCenterNormalized = [faceCenter[0] / input.shape[2], faceCenter[1] / input.shape[1]];\n const rotatedImage = tf.image.rotateWithOffset(input, angle, 0, faceCenterNormalized);\n rotationMatrix = util.buildRotationMatrix(-angle, faceCenter);\n face = bounding.cutBoxFromImageAndResize({ startPoint: box.startPoint, endPoint: box.endPoint }, rotatedImage, [this.meshHeight, this.meshWidth]).div(255);\n } else {\n rotationMatrix = util.IDENTITY_MATRIX;\n const cloned = input.clone();\n face = bounding.cutBoxFromImageAndResize({ startPoint: box.startPoint, endPoint: box.endPoint }, cloned, [this.meshHeight, this.meshWidth]).div(255);\n }\n\n // if we're not going to produce mesh, don't spend time with further processing\n if (!config.face.mesh.enabled) {\n const prediction = {\n coords: null,\n box,\n faceConfidence: null,\n confidence: box.confidence,\n image: face,\n };\n return prediction;\n }\n\n const [, confidence, contourCoords] = this.meshDetector.predict(face); // The first returned tensor represents facial contours, which are included in the coordinates.\n const faceConfidence = confidence.dataSync()[0];\n if (faceConfidence < config.face.detector.minConfidence) return null; // if below confidence just exit\n const coordsReshaped = tf.reshape(contourCoords, [-1, 3]);\n let rawCoords = coordsReshaped.arraySync();\n\n if (config.face.iris.enabled) {\n const { box: leftEyeBox, boxSize: leftEyeBoxSize, crop: leftEyeCrop } = this.getEyeBox(rawCoords, face, LEFT_EYE_BOUNDS[0], LEFT_EYE_BOUNDS[1], true);\n const { box: rightEyeBox, boxSize: rightEyeBoxSize, crop: rightEyeCrop } = this.getEyeBox(rawCoords, face, RIGHT_EYE_BOUNDS[0], RIGHT_EYE_BOUNDS[1]);\n const eyePredictions = this.irisModel.predict(tf.concat([leftEyeCrop, rightEyeCrop]));\n const eyePredictionsData = eyePredictions.dataSync();\n const leftEyeData = eyePredictionsData.slice(0, IRIS_NUM_COORDINATES * 3);\n const { rawCoords: leftEyeRawCoords, iris: leftIrisRawCoords } = this.getEyeCoords(leftEyeData, leftEyeBox, leftEyeBoxSize, true);\n const rightEyeData = eyePredictionsData.slice(IRIS_NUM_COORDINATES * 3);\n const { rawCoords: rightEyeRawCoords, iris: rightIrisRawCoords } = this.getEyeCoords(rightEyeData, rightEyeBox, rightEyeBoxSize);\n const leftToRightEyeDepthDifference = this.getLeftToRightEyeDepthDifference(rawCoords);\n if (Math.abs(leftToRightEyeDepthDifference) < 30) { // User is looking straight ahead.\n replaceRawCoordinates(rawCoords, leftEyeRawCoords, 'left');\n replaceRawCoordinates(rawCoords, rightEyeRawCoords, 'right');\n // If the user is looking to the left or to the right, the iris coordinates tend to diverge too much from the mesh coordinates for them to be merged. So we only update a single contour line above and below the eye.\n } else if (leftToRightEyeDepthDifference < 1) { // User is looking towards the right.\n // @ts-ignore\n replaceRawCoordinates(rawCoords, leftEyeRawCoords, 'left', ['EyeUpper0', 'EyeLower0']);\n } else { // User is looking towards the left.\n // @ts-ignore\n replaceRawCoordinates(rawCoords, rightEyeRawCoords, 'right', ['EyeUpper0', 'EyeLower0']);\n }\n const adjustedLeftIrisCoords = this.getAdjustedIrisCoords(rawCoords, leftIrisRawCoords, 'left');\n const adjustedRightIrisCoords = this.getAdjustedIrisCoords(rawCoords, rightIrisRawCoords, 'right');\n rawCoords = rawCoords.concat(adjustedLeftIrisCoords).concat(adjustedRightIrisCoords);\n }\n\n const transformedCoordsData = this.transformRawCoords(rawCoords, box, angle, rotationMatrix);\n const landmarksBox = bounding.enlargeBox(this.calculateLandmarksBoundingBox(transformedCoordsData));\n const squarifiedLandmarksBox = bounding.squarifyBox(landmarksBox);\n const transformedCoords = tf.tensor2d(transformedCoordsData);\n const prediction = {\n coords: transformedCoords,\n box: landmarksBox,\n faceConfidence,\n confidence: box.confidence,\n image: face,\n rawCoords,\n };\n if (!config.face.mesh.returnRawData) delete prediction.rawCoords;\n this.storedBoxes[i] = { ...squarifiedLandmarksBox, landmarks: transformedCoords.arraySync(), confidence: box.confidence, faceConfidence };\n\n return prediction;\n }));\n results = results.filter((a) => a !== null);\n this.detectedFaces = results.length;\n return results;\n }\n\n calculateLandmarksBoundingBox(landmarks) {\n const xs = landmarks.map((d) => d[0]);\n const ys = landmarks.map((d) => d[1]);\n const startPoint = [Math.min(...xs), Math.min(...ys)];\n const endPoint = [Math.max(...xs), Math.max(...ys)];\n return { startPoint, endPoint, landmarks };\n }\n}\n", "import { log } from './log';\nimport * as tf from '../dist/tfjs.esm.js';\nimport * as backend from './tfjs/backend';\nimport * as facemesh from './blazeface/facemesh';\nimport * as faceboxes from './faceboxes/faceboxes';\nimport * as age from './age/age';\nimport * as gender from './gender/gender';\nimport * as emotion from './emotion/emotion';\nimport * as embedding from './embedding/embedding';\nimport * as posenet from './posenet/posenet';\nimport * as handpose from './handpose/handpose';\nimport * as gesture from './gesture/gesture';\nimport * as image from './image';\nimport * as profile from './profile';\nimport * as config from '../config';\nimport * as sample from './sample';\nimport * as app from '../package.json';\n\n// helper function: gets elapsed time on both browser and nodejs\nconst now = () => {\n if (typeof performance !== 'undefined') return performance.now();\n return parseInt((Number(process.hrtime.bigint()) / 1000 / 1000).toString());\n};\n\n// helper function: perform deep merge of multiple objects so it allows full inheriance with overrides\nfunction mergeDeep(...objects) {\n const isObject = (obj) => obj && typeof obj === 'object';\n return objects.reduce((prev, obj) => {\n Object.keys(obj || {}).forEach((key) => {\n const pVal = prev[key];\n const oVal = obj[key];\n if (Array.isArray(pVal) && Array.isArray(oVal)) {\n prev[key] = pVal.concat(...oVal);\n } else if (isObject(pVal) && isObject(oVal)) {\n prev[key] = mergeDeep(pVal, oVal);\n } else {\n prev[key] = oVal;\n }\n });\n return prev;\n }, {});\n}\n\nclass Human {\n tf: any;\n package: any;\n version: string;\n config: any;\n fx: any;\n state: string;\n numTensors: number;\n analyzeMemoryLeaks: boolean;\n checkSanity: boolean;\n firstRun: boolean;\n perf: any;\n models: any;\n // models\n facemesh: any;\n age: any;\n gender: any;\n emotion: any;\n body: any;\n hand: any;\n\n constructor(userConfig = {}) {\n this.tf = tf;\n this.package = app;\n this.version = app.version;\n this.config = mergeDeep(config.default, userConfig);\n this.fx = null;\n this.state = 'idle';\n this.numTensors = 0;\n this.analyzeMemoryLeaks = false;\n this.checkSanity = false;\n this.firstRun = true;\n this.perf = {};\n // object that contains all initialized models\n this.models = {\n facemesh: null,\n posenet: null,\n handpose: null,\n iris: null,\n age: null,\n gender: null,\n emotion: null,\n };\n // export raw access to underlying models\n this.facemesh = facemesh;\n this.age = age;\n this.gender = gender;\n this.emotion = emotion;\n this.body = posenet;\n this.hand = handpose;\n }\n\n profile() {\n if (this.config.profile) return profile.data;\n return {};\n }\n\n // helper function: measure tensor leak\n analyze(...msg) {\n if (!this.analyzeMemoryLeaks) return;\n const current = this.tf.engine().state.numTensors;\n const previous = this.numTensors;\n this.numTensors = current;\n const leaked = current - previous;\n if (leaked !== 0) log(...msg, leaked);\n }\n\n // quick sanity check on inputs\n sanity(input) {\n if (!this.checkSanity) return null;\n if (!input) return 'input is not defined';\n if (this.tf.ENV.flags.IS_NODE && !(input instanceof this.tf.Tensor)) {\n return 'input must be a tensor';\n }\n try {\n this.tf.getBackend();\n } catch {\n return 'backend not loaded';\n }\n return null;\n }\n\n simmilarity(embedding1, embedding2) {\n if (this.config.face.embedding.enabled) return embedding.simmilarity(embedding1, embedding2);\n return 0;\n }\n\n // preload models, not explicitly required as it's done automatically on first use\n async load(userConfig = null) {\n this.state = 'load';\n const timeStamp = now();\n if (userConfig) this.config = mergeDeep(this.config, userConfig);\n\n if (this.firstRun) {\n log(`version: ${this.version} TensorFlow/JS version: ${this.tf.version_core}`);\n await this.checkBackend(true);\n if (this.tf.ENV.flags.IS_BROWSER) {\n log('configuration:', this.config);\n log('tf flags:', this.tf.ENV.flags);\n }\n }\n const face = this.config.face.detector.modelPath.includes('faceboxes') ? faceboxes : facemesh;\n if (this.config.async) {\n [\n this.models.face,\n this.models.age,\n this.models.gender,\n this.models.emotion,\n this.models.embedding,\n this.models.posenet,\n this.models.handpose,\n ] = await Promise.all([\n this.models.face || (this.config.face.enabled ? face.load(this.config) : null),\n this.models.age || ((this.config.face.enabled && this.config.face.age.enabled) ? age.load(this.config) : null),\n this.models.gender || ((this.config.face.enabled && this.config.face.gender.enabled) ? gender.load(this.config) : null),\n this.models.emotion || ((this.config.face.enabled && this.config.face.emotion.enabled) ? emotion.load(this.config) : null),\n this.models.embedding || ((this.config.face.enabled && this.config.face.embedding.enabled) ? embedding.load(this.config) : null),\n this.models.posenet || (this.config.body.enabled ? posenet.load(this.config) : null),\n this.models.handpose || (this.config.hand.enabled ? handpose.load(this.config) : null),\n ]);\n } else {\n if (this.config.face.enabled && !this.models.face) this.models.face = await face.load(this.config);\n if (this.config.face.enabled && this.config.face.age.enabled && !this.models.age) this.models.age = await age.load(this.config);\n if (this.config.face.enabled && this.config.face.gender.enabled && !this.models.gender) this.models.gender = await gender.load(this.config);\n if (this.config.face.enabled && this.config.face.emotion.enabled && !this.models.emotion) this.models.emotion = await emotion.load(this.config);\n if (this.config.face.enabled && this.config.face.embedding.enabled && !this.models.embedding) this.models.embedding = await embedding.load(this.config);\n if (this.config.body.enabled && !this.models.posenet) this.models.posenet = await posenet.load(this.config);\n if (this.config.hand.enabled && !this.models.handpose) this.models.handpose = await handpose.load(this.config);\n }\n\n if (this.firstRun) {\n log('tf engine state:', this.tf.engine().state.numBytes, 'bytes', this.tf.engine().state.numTensors, 'tensors');\n this.firstRun = false;\n }\n\n const current = Math.trunc(now() - timeStamp);\n if (current > (this.perf.load || 0)) this.perf.load = current;\n }\n\n // check if backend needs initialization if it changed\n async checkBackend(force = false) {\n if (this.config.backend && (this.config.backend !== '') && force || (this.tf.getBackend() !== this.config.backend)) {\n const timeStamp = now();\n this.state = 'backend';\n /* force backend reload\n if (this.config.backend in tf.engine().registry) {\n const backendFactory = tf.findBackendFactory(this.config.backend);\n tf.removeBackend(this.config.backend);\n tf.registerBackend(this.config.backend, backendFactory);\n } else {\n log('Backend not registred:', this.config.backend);\n }\n */\n\n log('setting backend:', this.config.backend);\n\n if (this.config.backend === 'wasm') {\n log('settings wasm path:', this.config.wasmPath);\n this.tf.setWasmPaths(this.config.wasmPath);\n const simd = await this.tf.env().getAsync('WASM_HAS_SIMD_SUPPORT');\n if (!simd) log('warning: wasm simd support is not enabled');\n }\n\n if (this.config.backend === 'humangl') backend.register();\n try {\n await this.tf.setBackend(this.config.backend);\n } catch (err) {\n log('error: cannot set backend:', this.config.backend, err);\n }\n this.tf.enableProdMode();\n /* debug mode is really too mcuh\n tf.enableDebugMode();\n */\n if (this.tf.getBackend() === 'webgl') {\n if (this.config.deallocate) {\n log('changing webgl: WEBGL_DELETE_TEXTURE_THRESHOLD:', this.config.deallocate);\n this.tf.ENV.set('WEBGL_DELETE_TEXTURE_THRESHOLD', this.config.deallocate ? 0 : -1);\n }\n this.tf.ENV.set('WEBGL_FORCE_F16_TEXTURES', true);\n this.tf.ENV.set('WEBGL_PACK_DEPTHWISECONV', true);\n const gl = await this.tf.backend().getGPGPUContext().gl;\n log(`gl version:${gl.getParameter(gl.VERSION)} renderer:${gl.getParameter(gl.RENDERER)}`);\n }\n await this.tf.ready();\n this.perf.backend = Math.trunc(now() - timeStamp);\n }\n }\n\n async detectFace(input) {\n // run facemesh, includes blazeface and iris\n // eslint-disable-next-line no-async-promise-executor\n let timeStamp;\n let ageRes;\n let genderRes;\n let emotionRes;\n let embeddingRes;\n const faceRes: Array<{ confidence: number, box: any, mesh: any, meshRaw: any, boxRaw: any, annotations: any, age: number, gender: string, genderConfidence: number, emotion: string, embedding: any, iris: number }> = [];\n this.state = 'run:face';\n timeStamp = now();\n const faces = await this.models.face?.estimateFaces(input, this.config);\n this.perf.face = Math.trunc(now() - timeStamp);\n for (const face of faces) {\n this.analyze('Get Face');\n\n // is something went wrong, skip the face\n if (!face.image || face.image.isDisposedInternal) {\n log('Face object is disposed:', face.image);\n continue;\n }\n\n // run age, inherits face from blazeface\n this.analyze('Start Age:');\n if (this.config.async) {\n ageRes = this.config.face.age.enabled ? age.predict(face.image, this.config) : {};\n } else {\n this.state = 'run:age';\n timeStamp = now();\n ageRes = this.config.face.age.enabled ? await age.predict(face.image, this.config) : {};\n this.perf.age = Math.trunc(now() - timeStamp);\n }\n\n // run gender, inherits face from blazeface\n this.analyze('Start Gender:');\n if (this.config.async) {\n genderRes = this.config.face.gender.enabled ? gender.predict(face.image, this.config) : {};\n } else {\n this.state = 'run:gender';\n timeStamp = now();\n genderRes = this.config.face.gender.enabled ? await gender.predict(face.image, this.config) : {};\n this.perf.gender = Math.trunc(now() - timeStamp);\n }\n\n // run emotion, inherits face from blazeface\n this.analyze('Start Emotion:');\n if (this.config.async) {\n emotionRes = this.config.face.emotion.enabled ? emotion.predict(face.image, this.config) : {};\n } else {\n this.state = 'run:emotion';\n timeStamp = now();\n emotionRes = this.config.face.emotion.enabled ? await emotion.predict(face.image, this.config) : {};\n this.perf.emotion = Math.trunc(now() - timeStamp);\n }\n this.analyze('End Emotion:');\n\n // run emotion, inherits face from blazeface\n this.analyze('Start Embedding:');\n if (this.config.async) {\n embeddingRes = this.config.face.embedding.enabled ? embedding.predict(face.image, this.config) : {};\n } else {\n this.state = 'run:embedding';\n timeStamp = now();\n embeddingRes = this.config.face.embedding.enabled ? await embedding.predict(face.image, this.config) : {};\n this.perf.embedding = Math.trunc(now() - timeStamp);\n }\n this.analyze('End Emotion:');\n\n // if async wait for results\n if (this.config.async) {\n [ageRes, genderRes, emotionRes, embeddingRes] = await Promise.all([ageRes, genderRes, emotionRes, embeddingRes]);\n }\n\n this.analyze('Finish Face:');\n\n // calculate iris distance\n // iris: array[ center, left, top, right, bottom]\n if (!this.config.face.iris.enabled && face?.annotations?.leftEyeIris && face?.annotations?.rightEyeIris) {\n delete face.annotations.leftEyeIris;\n delete face.annotations.rightEyeIris;\n }\n const irisSize = (face.annotations?.leftEyeIris && face.annotations?.rightEyeIris)\n /* average human iris size is 11.7mm */\n ? 11.7 * Math.max(Math.abs(face.annotations.leftEyeIris[3][0] - face.annotations.leftEyeIris[1][0]), Math.abs(face.annotations.rightEyeIris[4][1] - face.annotations.rightEyeIris[2][1]))\n : 0;\n\n // combine results\n faceRes.push({\n confidence: face.confidence,\n box: face.box,\n mesh: face.mesh,\n boxRaw: face.boxRaw,\n meshRaw: face.meshRaw,\n annotations: face.annotations,\n age: ageRes.age,\n gender: genderRes.gender,\n genderConfidence: genderRes.confidence,\n emotion: emotionRes,\n embedding: embeddingRes,\n iris: (irisSize !== 0) ? Math.trunc(irisSize) / 100 : 0,\n // image: face.image.toInt().squeeze(),\n });\n\n // dont need face anymore\n face.image?.dispose();\n this.analyze('End Face');\n }\n this.analyze('End FaceMesh:');\n if (this.config.async) {\n if (this.perf.face) delete this.perf.face;\n if (this.perf.age) delete this.perf.age;\n if (this.perf.gender) delete this.perf.gender;\n if (this.perf.emotion) delete this.perf.emotion;\n }\n return faceRes;\n }\n\n /*\n async processImage(input, userConfig = {}) {\n this.state = 'image';\n this.config = mergeDeep(this.config, userConfig);\n const process = image.process(input, this.config);\n process?.tensor?.dispose();\n return process?.canvas;\n }\n */\n\n // main detect function\n async detect(input, userConfig = {}) {\n // detection happens inside a promise\n return new Promise(async (resolve) => {\n this.state = 'config';\n let timeStamp;\n\n // update configuration\n this.config = mergeDeep(this.config, userConfig);\n\n // sanity checks\n this.state = 'check';\n const error = this.sanity(input);\n if (error) {\n log(error, input);\n resolve({ error });\n }\n\n let poseRes;\n let handRes;\n let faceRes;\n\n const timeStart = now();\n\n // configure backend\n await this.checkBackend();\n\n // load models if enabled\n await this.load();\n\n if (this.config.scoped) this.tf.engine().startScope();\n this.analyze('Start Scope:');\n\n timeStamp = now();\n const process = image.process(input, this.config);\n if (!process || !process.tensor) {\n log('could not convert input to tensor');\n resolve({ error: 'could not convert input to tensor' });\n return;\n }\n this.perf.image = Math.trunc(now() - timeStamp);\n this.analyze('Get Image:');\n\n // run face detection followed by all models that rely on face bounding box: face mesh, age, gender, emotion\n if (this.config.async) {\n faceRes = this.config.face.enabled ? this.detectFace(process.tensor) : [];\n if (this.perf.face) delete this.perf.face;\n } else {\n this.state = 'run:face';\n timeStamp = now();\n faceRes = this.config.face.enabled ? await this.detectFace(process.tensor) : [];\n this.perf.face = Math.trunc(now() - timeStamp);\n }\n\n // run posenet\n this.analyze('Start Body:');\n if (this.config.async) {\n poseRes = this.config.body.enabled ? this.models.posenet?.estimatePoses(process.tensor, this.config) : [];\n if (this.perf.body) delete this.perf.body;\n } else {\n this.state = 'run:body';\n timeStamp = now();\n poseRes = this.config.body.enabled ? await this.models.posenet?.estimatePoses(process.tensor, this.config) : [];\n this.perf.body = Math.trunc(now() - timeStamp);\n }\n this.analyze('End Body:');\n\n // run handpose\n this.analyze('Start Hand:');\n if (this.config.async) {\n handRes = this.config.hand.enabled ? this.models.handpose?.estimateHands(process.tensor, this.config) : [];\n if (this.perf.hand) delete this.perf.hand;\n } else {\n this.state = 'run:hand';\n timeStamp = now();\n handRes = this.config.hand.enabled ? await this.models.handpose?.estimateHands(process.tensor, this.config) : [];\n this.perf.hand = Math.trunc(now() - timeStamp);\n }\n this.analyze('End Hand:');\n\n // if async wait for results\n if (this.config.async) {\n [faceRes, poseRes, handRes] = await Promise.all([faceRes, poseRes, handRes]);\n }\n process.tensor.dispose();\n\n if (this.config.scoped) this.tf.engine().endScope();\n this.analyze('End Scope:');\n\n let gestureRes = [];\n if (this.config.gesture.enabled) {\n timeStamp = now();\n // @ts-ignore\n gestureRes = [...gesture.face(faceRes), ...gesture.body(poseRes), ...gesture.hand(handRes), ...gesture.iris(faceRes)];\n if (!this.config.async) this.perf.gesture = Math.trunc(now() - timeStamp);\n else if (this.perf.gesture) delete this.perf.gesture;\n }\n\n this.perf.total = Math.trunc(now() - timeStart);\n this.state = 'idle';\n resolve({ face: faceRes, body: poseRes, hand: handRes, gesture: gestureRes, performance: this.perf, canvas: process.canvas });\n });\n }\n\n async warmupBitmap() {\n const b64toBlob = (base64, type = 'application/octet-stream') => fetch(`data:${type};base64,${base64}`).then((res) => res.blob());\n let blob;\n let res;\n switch (this.config.warmup) {\n case 'face': blob = await b64toBlob(sample.face); break;\n case 'full': blob = await b64toBlob(sample.body); break;\n default: blob = null;\n }\n if (blob) {\n const bitmap = await createImageBitmap(blob);\n res = await this.detect(bitmap, this.config);\n bitmap.close();\n }\n return res;\n }\n\n async warmupCanvas() {\n return new Promise((resolve) => {\n let src;\n let size = 0;\n switch (this.config.warmup) {\n case 'face':\n size = 256;\n src = 'data:image/jpeg;base64,' + sample.face;\n break;\n case 'full':\n size = 1200;\n src = 'data:image/jpeg;base64,' + sample.body;\n break;\n default:\n src = null;\n }\n const img = new Image(size, size);\n img.onload = () => {\n const canvas = (typeof OffscreenCanvas !== 'undefined') ? new OffscreenCanvas(size, size) : document.createElement('canvas');\n canvas.width = size;\n canvas.height = size;\n const ctx = canvas.getContext('2d');\n ctx?.drawImage(img, 0, 0);\n const data = ctx?.getImageData(0, 0, size, size);\n this.detect(data, this.config).then((res) => resolve(res));\n };\n if (src) img.src = src;\n else resolve(null);\n });\n }\n\n async warmupNode() {\n const atob = (str) => Buffer.from(str, 'base64');\n const img = this.config.warmup === 'face' ? atob(sample.face) : atob(sample.body);\n // @ts-ignore\n const data = tf.node.decodeJpeg(img); // tf.node is only defined when compiling for nodejs\n const expanded = data.expandDims(0);\n this.tf.dispose(data);\n // log('Input:', expanded);\n const res = await this.detect(expanded, this.config);\n this.tf.dispose(expanded);\n return res;\n }\n\n async warmup(userConfig) {\n const t0 = now();\n if (userConfig) this.config = mergeDeep(this.config, userConfig);\n const video = this.config.videoOptimized;\n this.config.videoOptimized = false;\n let res;\n if (typeof createImageBitmap === 'function') res = await this.warmupBitmap();\n else if (typeof Image !== 'undefined') res = await this.warmupCanvas();\n else res = await this.warmupNode();\n this.config.videoOptimized = video;\n const t1 = now();\n log('Warmup', this.config.warmup, Math.round(t1 - t0), 'ms', res);\n return res;\n }\n}\n\nexport { Human as default };\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as profile from '../profile';\n\nexport class FaceBoxes {\n enlarge: number;\n model: any;\n config: any;\n\n constructor(model, config) {\n this.enlarge = 1.1;\n this.model = model;\n this.config = config;\n }\n\n async estimateFaces(input, config) {\n if (config) this.config = config;\n const results: Array<{ confidence: number, box: any, boxRaw: any, image: any }> = [];\n const resizeT = tf.image.resizeBilinear(input, [this.config.face.detector.inputSize, this.config.face.detector.inputSize]);\n const castT = resizeT.toInt();\n let scores;\n let boxes;\n if (!config.profile) {\n const [scoresT, boxesT, numT] = await this.model.executeAsync(castT);\n scores = scoresT.dataSync();\n const squeezeT = boxesT.squeeze();\n boxes = squeezeT.arraySync();\n scoresT.dispose();\n boxesT.dispose();\n squeezeT.dispose();\n numT.dispose();\n } else {\n const profileData = await tf.profile(() => this.model.executeAsync(castT));\n scores = profileData.result[0].dataSync();\n const squeezeT = profileData.result[1].squeeze();\n boxes = squeezeT.arraySync();\n profileData.result.forEach((t) => t.dispose());\n profile.run('faceboxes', profileData);\n }\n castT.dispose();\n resizeT.dispose();\n for (const i in boxes) {\n if (scores[i] && scores[i] > this.config.face.detector.minConfidence) {\n const crop = [boxes[i][0] / this.enlarge, boxes[i][1] / this.enlarge, boxes[i][2] * this.enlarge, boxes[i][3] * this.enlarge];\n const boxRaw = [crop[1], crop[0], (crop[3]) - (crop[1]), (crop[2]) - (crop[0])];\n const box = [\n parseInt((boxRaw[0] * input.shape[2]).toString()),\n parseInt((boxRaw[1] * input.shape[1]).toString()),\n parseInt((boxRaw[2] * input.shape[2]).toString()),\n parseInt((boxRaw[3] * input.shape[1]).toString())];\n const resized = tf.image.cropAndResize(input, [crop], [0], [this.config.face.detector.inputSize, this.config.face.detector.inputSize]);\n const image = resized.div([255]);\n resized.dispose();\n results.push({ confidence: scores[i], box, boxRaw: this.config.face.mesh.returnRawData ? boxRaw : null, image });\n // add mesh, meshRaw, annotations,\n }\n }\n return results;\n }\n}\n\nexport async function load(config) {\n const model = await tf.loadGraphModel(config.face.detector.modelPath);\n log(`load model: ${config.face.detector.modelPath.match(/\\/(.*)\\./)[1]}`);\n const faceboxes = new FaceBoxes(model, config);\n if (config.face.mesh.enabled) log(`load model: ${config.face.mesh.modelPath.match(/\\/(.*)\\./)[1]}`);\n if (config.face.iris.enabled) log(`load model: ${config.face.iris.modelPath.match(/\\/(.*)\\./)[1]}`);\n return faceboxes;\n}\n", "import { log } from './log';\n\nexport const data = {};\n\nexport function run(name: string, raw: any) {\n if (!raw || !raw.kernels) return;\n const maxResults = 5;\n const time = raw.kernels\n .filter((a) => a.kernelTimeMs > 0)\n .reduce((a, b) => a += b.kernelTimeMs, 0);\n const slowest = raw.kernels\n .map((a, i) => { a.id = i; return a; })\n .filter((a) => a.kernelTimeMs > 0)\n .sort((a, b) => b.kernelTimeMs - a.kernelTimeMs);\n const largest = raw.kernels\n .map((a, i) => { a.id = i; return a; })\n .filter((a) => a.totalBytesSnapshot > 0)\n .sort((a, b) => b.totalBytesSnapshot - a.totalBytesSnapshot);\n if (slowest.length > maxResults) slowest.length = maxResults;\n if (largest.length > maxResults) largest.length = maxResults;\n const res = { newBytes: raw.newBytes, newTensors: raw.newTensors, peakBytes: raw.peakBytes, numKernelOps: raw.kernels.length, timeKernelOps: time, slowestKernelOps: slowest, largestKernelOps: largest };\n data[name] = res;\n log('Human profiler', name, res);\n}\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as profile from '../profile';\n\nlet model;\nlet last = { age: 0 };\nlet skipped = Number.MAX_SAFE_INTEGER;\n\nexport async function load(config) {\n if (!model) {\n model = await tf.loadGraphModel(config.face.age.modelPath);\n log(`load model: ${config.face.age.modelPath.match(/\\/(.*)\\./)[1]}`);\n }\n return model;\n}\n\nexport async function predict(image, config) {\n if (!model) return null;\n if ((skipped < config.face.age.skipFrames) && config.videoOptimized && last.age && (last.age > 0)) {\n skipped++;\n return last;\n }\n if (config.videoOptimized) skipped = 0;\n else skipped = Number.MAX_SAFE_INTEGER;\n return new Promise(async (resolve) => {\n /*\n const zoom = [0, 0]; // 0..1 meaning 0%..100%\n const box = [[\n (image.shape[1] * zoom[0]) / image.shape[1],\n (image.shape[2] * zoom[1]) / image.shape[2],\n (image.shape[1] - (image.shape[1] * zoom[0])) / image.shape[1],\n (image.shape[2] - (image.shape[2] * zoom[1])) / image.shape[2],\n ]];\n const resize = tf.image.cropAndResize(image, box, [0], [config.face.age.inputSize, config.face.age.inputSize]);\n */\n const resize = tf.image.resizeBilinear(image, [config.face.age.inputSize, config.face.age.inputSize], false);\n const enhance = tf.mul(resize, [255.0]);\n tf.dispose(resize);\n\n let ageT;\n const obj = { age: 0 };\n\n if (!config.profile) {\n if (config.face.age.enabled) ageT = await model.predict(enhance);\n } else {\n const profileAge = config.face.age.enabled ? await tf.profile(() => model.predict(enhance)) : {};\n ageT = profileAge.result.clone();\n profileAge.result.dispose();\n profile.run('age', profileAge);\n }\n enhance.dispose();\n\n if (ageT) {\n const data = ageT.dataSync();\n obj.age = Math.trunc(10 * data[0]) / 10;\n }\n ageT.dispose();\n\n last = obj;\n resolve(obj);\n });\n}\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as profile from '../profile';\n\nlet model;\nlet last = { gender: '' };\nlet skipped = Number.MAX_SAFE_INTEGER;\nlet alternative = false;\n\n// tuning values\nconst rgb = [0.2989, 0.5870, 0.1140]; // factors for red/green/blue colors when converting to grayscale\n\nexport async function load(config) {\n if (!model) {\n model = await tf.loadGraphModel(config.face.gender.modelPath);\n alternative = model.inputs[0].shape[3] === 1;\n log(`load model: ${config.face.gender.modelPath.match(/\\/(.*)\\./)[1]}`);\n }\n return model;\n}\n\nexport async function predict(image, config) {\n if (!model) return null;\n if ((skipped < config.face.gender.skipFrames) && config.videoOptimized && last.gender !== '') {\n skipped++;\n return last;\n }\n if (config.videoOptimized) skipped = 0;\n else skipped = Number.MAX_SAFE_INTEGER;\n return new Promise(async (resolve) => {\n const resize = tf.image.resizeBilinear(image, [config.face.gender.inputSize, config.face.gender.inputSize], false);\n let enhance;\n if (alternative) {\n enhance = tf.tidy(() => {\n const [red, green, blue] = tf.split(resize, 3, 3);\n const redNorm = tf.mul(red, rgb[0]);\n const greenNorm = tf.mul(green, rgb[1]);\n const blueNorm = tf.mul(blue, rgb[2]);\n const grayscale = tf.addN([redNorm, greenNorm, blueNorm]);\n return grayscale.sub(0.5).mul(2);\n });\n } else {\n enhance = tf.mul(resize, [255.0]);\n }\n tf.dispose(resize);\n\n let genderT;\n const obj = { gender: '', confidence: 0 };\n\n if (!config.profile) {\n if (config.face.gender.enabled) genderT = await model.predict(enhance);\n } else {\n const profileGender = config.face.gender.enabled ? await tf.profile(() => model.predict(enhance)) : {};\n genderT = profileGender.result.clone();\n profileGender.result.dispose();\n profile.run('gender', profileGender);\n }\n enhance.dispose();\n\n if (genderT) {\n const data = genderT.dataSync();\n if (alternative) {\n // returns two values 0..1, bigger one is prediction\n const confidence = Math.trunc(100 * Math.abs(data[0] - data[1])) / 100;\n if (confidence > config.face.gender.minConfidence) {\n obj.gender = data[0] > data[1] ? 'female' : 'male';\n obj.confidence = confidence;\n }\n } else {\n // returns one value 0..1, .5 is prediction threshold\n const confidence = Math.trunc(200 * Math.abs((data[0] - 0.5))) / 100;\n if (confidence > config.face.gender.minConfidence) {\n obj.gender = data[0] <= 0.5 ? 'female' : 'male';\n obj.confidence = Math.min(0.99, confidence);\n }\n }\n }\n genderT.dispose();\n\n last = obj;\n resolve(obj);\n });\n}\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as profile from '../profile';\n\nconst annotations = ['angry', 'disgust', 'fear', 'happy', 'sad', 'surprise', 'neutral'];\nlet model;\nlet last: Array<{ score: number, emotion: string }> = [];\nlet skipped = Number.MAX_SAFE_INTEGER;\n\n// tuning values\nconst rgb = [0.2989, 0.5870, 0.1140]; // factors for red/green/blue colors when converting to grayscale\nconst scale = 1; // score multiplication factor\n\nexport async function load(config) {\n if (!model) {\n model = await tf.loadGraphModel(config.face.emotion.modelPath);\n log(`load model: ${config.face.emotion.modelPath.match(/\\/(.*)\\./)[1]}`);\n }\n return model;\n}\n\nexport async function predict(image, config) {\n if (!model) return null;\n if ((skipped < config.face.emotion.skipFrames) && config.videoOptimized && (last.length > 0)) {\n skipped++;\n return last;\n }\n if (config.videoOptimized) skipped = 0;\n else skipped = Number.MAX_SAFE_INTEGER;\n return new Promise(async (resolve) => {\n /*\n const zoom = [0, 0]; // 0..1 meaning 0%..100%\n const box = [[\n (image.shape[1] * zoom[0]) / image.shape[1],\n (image.shape[2] * zoom[1]) / image.shape[2],\n (image.shape[1] - (image.shape[1] * zoom[0])) / image.shape[1],\n (image.shape[2] - (image.shape[2] * zoom[1])) / image.shape[2],\n ]];\n const resize = tf.image.cropAndResize(image, box, [0], [config.face.emotion.inputSize, config.face.emotion.inputSize]);\n */\n const resize = tf.image.resizeBilinear(image, [config.face.emotion.inputSize, config.face.emotion.inputSize], false);\n const [red, green, blue] = tf.split(resize, 3, 3);\n resize.dispose();\n // weighted rgb to grayscale: https://www.mathworks.com/help/matlab/ref/rgb2gray.html\n const redNorm = tf.mul(red, rgb[0]);\n const greenNorm = tf.mul(green, rgb[1]);\n const blueNorm = tf.mul(blue, rgb[2]);\n red.dispose();\n green.dispose();\n blue.dispose();\n const grayscale = tf.addN([redNorm, greenNorm, blueNorm]);\n redNorm.dispose();\n greenNorm.dispose();\n blueNorm.dispose();\n const normalize = tf.tidy(() => grayscale.sub(0.5).mul(2));\n grayscale.dispose();\n const obj: Array<{ score: number, emotion: string }> = [];\n if (config.face.emotion.enabled) {\n let data;\n if (!config.profile) {\n const emotionT = await model.predict(normalize);\n data = emotionT.dataSync();\n tf.dispose(emotionT);\n } else {\n const profileData = await tf.profile(() => model.predict(normalize));\n data = profileData.result.dataSync();\n profileData.result.dispose();\n profile.run('emotion', profileData);\n }\n for (let i = 0; i < data.length; i++) {\n if (scale * data[i] > config.face.emotion.minConfidence) obj.push({ score: Math.min(0.99, Math.trunc(100 * scale * data[i]) / 100), emotion: annotations[i] });\n }\n obj.sort((a, b) => b.score - a.score);\n }\n normalize.dispose();\n last = obj;\n resolve(obj);\n });\n}\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as profile from '../profile';\n\n// based on https://github.com/sirius-ai/MobileFaceNet_TF\n// model converted from https://github.com/sirius-ai/MobileFaceNet_TF/files/3551493/FaceMobileNet192_train_false.zip\n\nlet model;\n\nexport async function load(config) {\n if (!model) {\n model = await tf.loadGraphModel(config.face.embedding.modelPath);\n log(`load model: ${config.face.embedding.modelPath.match(/\\/(.*)\\./)[1]}`);\n }\n return model;\n}\n\nexport function simmilarity(embedding1, embedding2) {\n if (embedding1?.length !== embedding2?.length) return 0;\n // general minkowski distance\n // euclidean distance is limited case where order is 2\n const order = 2;\n const distance = 10.0 * ((embedding1.map((val, i) => (val - embedding2[i])).reduce((dist, diff) => dist + (diff ** order), 0) ** (1 / order)));\n return (Math.trunc(1000 * (1 - distance)) / 1000);\n}\n\nexport async function predict(image, config) {\n if (!model) return null;\n return new Promise(async (resolve) => {\n const resize = tf.image.resizeBilinear(image, [config.face.embedding.inputSize, config.face.embedding.inputSize], false);\n // const normalize = tf.tidy(() => resize.div(127.5).sub(0.5)); // this is -0.5...0.5 ???\n let data: Array<[]> = [];\n if (config.face.embedding.enabled) {\n if (!config.profile) {\n const embeddingT = await model.predict({ img_inputs: resize });\n data = [...embeddingT.dataSync()]; // convert object array to standard array\n tf.dispose(embeddingT);\n } else {\n const profileData = await tf.profile(() => model.predict({ img_inputs: resize }));\n data = [...profileData.result.dataSync()];\n profileData.result.dispose();\n profile.run('emotion', profileData);\n }\n }\n resize.dispose();\n // normalize.dispose();\n resolve(data);\n });\n}\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as modelBase from './modelBase';\nimport * as decodeMultiple from './decodeMultiple';\nimport * as decodePose from './decodePose';\nimport * as util from './util';\n\nasync function estimateMultiple(input, res, config) {\n return new Promise(async (resolve) => {\n const height = input.shape[1];\n const width = input.shape[2];\n const allTensorBuffers = await util.toTensorBuffers3D([res.heatmapScores, res.offsets, res.displacementFwd, res.displacementBwd]);\n const scoresBuffer = allTensorBuffers[0];\n const offsetsBuffer = allTensorBuffers[1];\n const displacementsFwdBuffer = allTensorBuffers[2];\n const displacementsBwdBuffer = allTensorBuffers[3];\n const poses = await decodeMultiple.decodeMultiplePoses(scoresBuffer, offsetsBuffer, displacementsFwdBuffer, displacementsBwdBuffer, config);\n const scaled = util.scaleAndFlipPoses(poses, [height, width], [config.body.inputSize, config.body.inputSize]);\n resolve(scaled);\n });\n}\n\nasync function estimateSingle(input, res, config) {\n return new Promise(async (resolve) => {\n const height = input.shape[1];\n const width = input.shape[2];\n const pose = await decodePose.decodeSinglePose(res.heatmapScores, res.offsets, config);\n const poses = [pose];\n const scaled = util.scaleAndFlipPoses(poses, [height, width], [config.body.inputSize, config.body.inputSize]);\n resolve(scaled);\n });\n}\n\nexport class PoseNet {\n baseModel: any;\n constructor(model) {\n this.baseModel = model;\n }\n\n async estimatePoses(input, config) {\n const resized = util.resizeTo(input, [config.body.inputSize, config.body.inputSize]);\n const res = this.baseModel.predict(resized, config);\n\n const poses = (config.body.maxDetections < 2) ? await estimateSingle(input, res, config) : await estimateMultiple(input, res, config);\n\n res.heatmapScores.dispose();\n res.offsets.dispose();\n res.displacementFwd.dispose();\n res.displacementBwd.dispose();\n resized.dispose();\n\n return poses;\n }\n\n dispose() {\n this.baseModel.dispose();\n }\n}\n\nexport async function load(config) {\n const model = await tf.loadGraphModel(config.body.modelPath);\n const mobilenet = new modelBase.BaseModel(model);\n log(`load model: ${config.body.modelPath.match(/\\/(.*)\\./)[1]}`);\n return new PoseNet(mobilenet);\n}\n", "import * as tf from '../../dist/tfjs.esm.js';\n\nconst imageNetMean = [-123.15, -115.90, -103.06];\n\nfunction nameOutputResultsMobileNet(results) {\n const [offsets, heatmap, displacementFwd, displacementBwd] = results;\n return { offsets, heatmap, displacementFwd, displacementBwd };\n}\n\nfunction nameOutputResultsResNet(results) {\n const [displacementFwd, displacementBwd, offsets, heatmap] = results;\n return { offsets, heatmap, displacementFwd, displacementBwd };\n}\n\nexport class BaseModel {\n model: any;\n constructor(model) {\n this.model = model;\n }\n\n predict(input, config) {\n return tf.tidy(() => {\n const asFloat = (config.body.modelType === 'ResNet') ? input.toFloat().add(imageNetMean) : input.toFloat().div(127.5).sub(1.0);\n const asBatch = asFloat.expandDims(0);\n const results = this.model.predict(asBatch);\n const results3d = results.map((y) => y.squeeze([0]));\n const namedResults = (config.body.modelType === 'ResNet') ? nameOutputResultsResNet(results3d) : nameOutputResultsMobileNet(results3d);\n return {\n heatmapScores: namedResults.heatmap.sigmoid(),\n offsets: namedResults.offsets,\n displacementFwd: namedResults.displacementFwd,\n displacementBwd: namedResults.displacementBwd,\n };\n });\n }\n\n dispose() {\n this.model.dispose();\n }\n}\n", "// algorithm based on Coursera Lecture from Algorithms, Part 1: https://www.coursera.org/learn/algorithms-part1/lecture/ZjoSM/heapsort\nfunction half(k) {\n return Math.floor(k / 2);\n}\nexport class MaxHeap {\n priorityQueue: any;\n numberOfElements: number;\n getElementValue: any;\n\n constructor(maxSize, getElementValue) {\n this.priorityQueue = new Array(maxSize);\n this.numberOfElements = -1;\n this.getElementValue = getElementValue;\n }\n\n enqueue(x) {\n this.priorityQueue[++this.numberOfElements] = x;\n this.swim(this.numberOfElements);\n }\n\n dequeue() {\n const max = this.priorityQueue[0];\n this.exchange(0, this.numberOfElements--);\n this.sink(0);\n this.priorityQueue[this.numberOfElements + 1] = null;\n return max;\n }\n\n empty() {\n return this.numberOfElements === -1;\n }\n\n size() {\n return this.numberOfElements + 1;\n }\n\n all() {\n return this.priorityQueue.slice(0, this.numberOfElements + 1);\n }\n\n max() {\n return this.priorityQueue[0];\n }\n\n swim(k) {\n while (k > 0 && this.less(half(k), k)) {\n this.exchange(k, half(k));\n k = half(k);\n }\n }\n\n sink(k) {\n while (2 * k <= this.numberOfElements) {\n let j = 2 * k;\n if (j < this.numberOfElements && this.less(j, j + 1)) j++;\n if (!this.less(k, j)) break;\n this.exchange(k, j);\n k = j;\n }\n }\n\n getValueAt(i) {\n return this.getElementValue(this.priorityQueue[i]);\n }\n\n less(i, j) {\n return this.getValueAt(i) < this.getValueAt(j);\n }\n\n exchange(i, j) {\n const t = this.priorityQueue[i];\n this.priorityQueue[i] = this.priorityQueue[j];\n this.priorityQueue[j] = t;\n }\n}\n", "import * as heapSort from './heapSort';\n\nfunction scoreIsMaximumInLocalWindow(keypointId, score, heatmapY, heatmapX, localMaximumRadius, scores) {\n const [height, width] = scores.shape;\n let localMaximum = true;\n const yStart = Math.max(heatmapY - localMaximumRadius, 0);\n const yEnd = Math.min(heatmapY + localMaximumRadius + 1, height);\n for (let yCurrent = yStart; yCurrent < yEnd; ++yCurrent) {\n const xStart = Math.max(heatmapX - localMaximumRadius, 0);\n const xEnd = Math.min(heatmapX + localMaximumRadius + 1, width);\n for (let xCurrent = xStart; xCurrent < xEnd; ++xCurrent) {\n if (scores.get(yCurrent, xCurrent, keypointId) > score) {\n localMaximum = false;\n break;\n }\n }\n if (!localMaximum) break;\n }\n return localMaximum;\n}\n\nexport function buildPartWithScoreQueue(scoreThreshold, localMaximumRadius, scores) {\n const [height, width, numKeypoints] = scores.shape;\n const queue = new heapSort.MaxHeap(height * width * numKeypoints, ({ score }) => score);\n for (let heatmapY = 0; heatmapY < height; ++heatmapY) {\n for (let heatmapX = 0; heatmapX < width; ++heatmapX) {\n for (let keypointId = 0; keypointId < numKeypoints; ++keypointId) {\n const score = scores.get(heatmapY, heatmapX, keypointId);\n // Only consider parts with score greater or equal to threshold as root candidates.\n if (score < scoreThreshold) continue;\n // Only consider keypoints whose score is maximum in a local window.\n if (scoreIsMaximumInLocalWindow(keypointId, score, heatmapY, heatmapX, localMaximumRadius, scores)) {\n queue.enqueue({ score, part: { heatmapY, heatmapX, id: keypointId } });\n }\n }\n }\n }\n return queue;\n}\n", "import * as keypoints from './keypoints';\nimport * as vectors from './vectors';\nimport * as decoders from './decoders';\n\nconst parentChildrenTuples = keypoints.poseChain.map(([parentJoinName, childJoinName]) => ([keypoints.partIds[parentJoinName], keypoints.partIds[childJoinName]]));\nconst parentToChildEdges = parentChildrenTuples.map(([, childJointId]) => childJointId);\nconst childToParentEdges = parentChildrenTuples.map(([parentJointId]) => parentJointId);\nfunction getDisplacement(edgeId, point, displacements) {\n const numEdges = displacements.shape[2] / 2;\n return {\n y: displacements.get(point.y, point.x, edgeId),\n x: displacements.get(point.y, point.x, numEdges + edgeId),\n };\n}\nfunction getStridedIndexNearPoint(point, outputStride, height, width) {\n return {\n y: vectors.clamp(Math.round(point.y / outputStride), 0, height - 1),\n x: vectors.clamp(Math.round(point.x / outputStride), 0, width - 1),\n };\n}\n\nfunction traverseToTargetKeypoint(edgeId, sourceKeypoint, targetKeypointId, scoresBuffer, offsets, outputStride, displacements, offsetRefineStep = 2) {\n const [height, width] = scoresBuffer.shape;\n // Nearest neighbor interpolation for the source->target displacements.\n const sourceKeypointIndices = getStridedIndexNearPoint(sourceKeypoint.position, outputStride, height, width);\n const displacement = getDisplacement(edgeId, sourceKeypointIndices, displacements);\n const displacedPoint = vectors.addVectors(sourceKeypoint.position, displacement);\n let targetKeypoint = displacedPoint;\n for (let i = 0; i < offsetRefineStep; i++) {\n const targetKeypointIndices = getStridedIndexNearPoint(targetKeypoint, outputStride, height, width);\n const offsetPoint = vectors.getOffsetPoint(targetKeypointIndices.y, targetKeypointIndices.x, targetKeypointId, offsets);\n targetKeypoint = vectors.addVectors({\n x: targetKeypointIndices.x * outputStride,\n y: targetKeypointIndices.y * outputStride,\n }, { x: offsetPoint.x, y: offsetPoint.y });\n }\n const targetKeyPointIndices = getStridedIndexNearPoint(targetKeypoint, outputStride, height, width);\n const score = scoresBuffer.get(targetKeyPointIndices.y, targetKeyPointIndices.x, targetKeypointId);\n return { position: targetKeypoint, part: keypoints.partNames[targetKeypointId], score };\n}\n\nexport function decodePose(root, scores, offsets, outputStride, displacementsFwd, displacementsBwd) {\n const numParts = scores.shape[2];\n const numEdges = parentToChildEdges.length;\n const instanceKeypoints = new Array(numParts);\n // Start a new detection instance at the position of the root.\n const { part: rootPart, score: rootScore } = root;\n const rootPoint = vectors.getImageCoords(rootPart, outputStride, offsets);\n instanceKeypoints[rootPart.id] = {\n score: rootScore,\n part: keypoints.partNames[rootPart.id],\n position: rootPoint,\n };\n // Decode the part positions upwards in the tree, following the backward displacements.\n for (let edge = numEdges - 1; edge >= 0; --edge) {\n const sourceKeypointId = parentToChildEdges[edge];\n const targetKeypointId = childToParentEdges[edge];\n if (instanceKeypoints[sourceKeypointId] && !instanceKeypoints[targetKeypointId]) {\n instanceKeypoints[targetKeypointId] = traverseToTargetKeypoint(edge, instanceKeypoints[sourceKeypointId], targetKeypointId, scores, offsets, outputStride, displacementsBwd);\n }\n }\n // Decode the part positions downwards in the tree, following the forward displacements.\n for (let edge = 0; edge < numEdges; ++edge) {\n const sourceKeypointId = childToParentEdges[edge];\n const targetKeypointId = parentToChildEdges[edge];\n if (instanceKeypoints[sourceKeypointId] && !instanceKeypoints[targetKeypointId]) {\n instanceKeypoints[targetKeypointId] = traverseToTargetKeypoint(edge, instanceKeypoints[sourceKeypointId], targetKeypointId, scores, offsets, outputStride, displacementsFwd);\n }\n }\n return instanceKeypoints;\n}\n\nexport async function decodeSinglePose(heatmapScores, offsets, config) {\n let totalScore = 0.0;\n const heatmapValues = decoders.argmax2d(heatmapScores);\n const allTensorBuffers = await Promise.all([heatmapScores.buffer(), offsets.buffer(), heatmapValues.buffer()]);\n const scoresBuffer = allTensorBuffers[0];\n const offsetsBuffer = allTensorBuffers[1];\n const heatmapValuesBuffer = allTensorBuffers[2];\n const offsetPoints = decoders.getOffsetPoints(heatmapValuesBuffer, config.body.outputStride, offsetsBuffer);\n const offsetPointsBuffer = await offsetPoints.buffer();\n const keypointConfidence = Array.from(decoders.getPointsConfidence(scoresBuffer, heatmapValuesBuffer));\n const instanceKeypoints = keypointConfidence.map((score, i) => {\n totalScore += score;\n return {\n position: {\n y: offsetPointsBuffer.get(i, 0),\n x: offsetPointsBuffer.get(i, 1),\n },\n part: keypoints.partNames[i],\n score,\n };\n });\n const filteredKeypoints = instanceKeypoints.filter((kpt) => kpt.score > config.body.scoreThreshold);\n heatmapValues.dispose();\n offsetPoints.dispose();\n return { keypoints: filteredKeypoints, score: totalScore / instanceKeypoints.length };\n}\n", "import * as kpt from './keypoints';\n\nexport function getOffsetPoint(y, x, keypoint, offsets) {\n return {\n y: offsets.get(y, x, keypoint),\n x: offsets.get(y, x, keypoint + kpt.NUM_KEYPOINTS),\n };\n}\n\nexport function getImageCoords(part, outputStride, offsets) {\n const { heatmapY, heatmapX, id: keypoint } = part;\n const { y, x } = getOffsetPoint(heatmapY, heatmapX, keypoint, offsets);\n return {\n x: part.heatmapX * outputStride + x,\n y: part.heatmapY * outputStride + y,\n };\n}\n\nexport function fillArray(element, size) {\n const result = new Array(size);\n for (let i = 0; i < size; i++) {\n result[i] = element;\n }\n return result;\n}\n\nexport function clamp(a, min, max) {\n if (a < min) return min;\n if (a > max) return max;\n return a;\n}\n\nexport function squaredDistance(y1, x1, y2, x2) {\n const dy = y2 - y1;\n const dx = x2 - x1;\n return dy * dy + dx * dx;\n}\n\nexport function addVectors(a, b) {\n return { x: a.x + b.x, y: a.y + b.y };\n}\n\nexport function clampVector(a, min, max) {\n return { y: clamp(a.y, min, max), x: clamp(a.x, min, max) };\n}\n", "import * as tf from '../../dist/tfjs.esm.js';\nimport * as kpt from './keypoints';\n\nexport function getPointsConfidence(heatmapScores, heatMapCoords) {\n const numKeypoints = heatMapCoords.shape[0];\n const result = new Float32Array(numKeypoints);\n for (let keypoint = 0; keypoint < numKeypoints; keypoint++) {\n const y = heatMapCoords.get(keypoint, 0);\n const x = heatMapCoords.get(keypoint, 1);\n result[keypoint] = heatmapScores.get(y, x, keypoint);\n }\n return result;\n}\n\nfunction getOffsetPoint(y, x, keypoint, offsetsBuffer) {\n return {\n y: offsetsBuffer.get(y, x, keypoint),\n x: offsetsBuffer.get(y, x, keypoint + kpt.NUM_KEYPOINTS),\n };\n}\n\nexport function getOffsetVectors(heatMapCoordsBuffer, offsetsBuffer) {\n const result: Array = [];\n for (let keypoint = 0; keypoint < kpt.NUM_KEYPOINTS; keypoint++) {\n const heatmapY = heatMapCoordsBuffer.get(keypoint, 0).valueOf();\n const heatmapX = heatMapCoordsBuffer.get(keypoint, 1).valueOf();\n const { x, y } = getOffsetPoint(heatmapY, heatmapX, keypoint, offsetsBuffer);\n result.push(y);\n result.push(x);\n }\n return tf.tensor2d(result, [kpt.NUM_KEYPOINTS, 2]);\n}\n\nexport function getOffsetPoints(heatMapCoordsBuffer, outputStride, offsetsBuffer) {\n return tf.tidy(() => heatMapCoordsBuffer.toTensor().mul(tf.scalar(outputStride, 'int32')).toFloat().add(getOffsetVectors(heatMapCoordsBuffer, offsetsBuffer)));\n}\n\nfunction mod(a, b) {\n return tf.tidy(() => {\n const floored = a.div(tf.scalar(b, 'int32'));\n return a.sub(floored.mul(tf.scalar(b, 'int32')));\n });\n}\n\nexport function argmax2d(inputs) {\n const [height, width, depth] = inputs.shape;\n return tf.tidy(() => {\n const reshaped = inputs.reshape([height * width, depth]);\n const coords = reshaped.argMax(0);\n const yCoords = coords.div(tf.scalar(width, 'int32')).expandDims(1);\n const xCoords = mod(coords, width).expandDims(1);\n return tf.concat([yCoords, xCoords], 1);\n });\n}\n", "import * as buildParts from './buildParts';\nimport * as decodePose from './decodePose';\nimport * as vectors from './vectors';\n\nconst kLocalMaximumRadius = 1;\n\nfunction withinNmsRadiusOfCorrespondingPoint(poses, squaredNmsRadius, { x, y }, keypointId) {\n return poses.some(({ keypoints }) => {\n const correspondingKeypoint = keypoints[keypointId].position;\n return vectors.squaredDistance(y, x, correspondingKeypoint.y, correspondingKeypoint.x) <= squaredNmsRadius;\n });\n}\n\nfunction getInstanceScore(existingPoses, squaredNmsRadius, instanceKeypoints) {\n const notOverlappedKeypointScores = instanceKeypoints.reduce((result, { position, score }, keypointId) => {\n if (!withinNmsRadiusOfCorrespondingPoint(existingPoses, squaredNmsRadius, position, keypointId)) result += score;\n return result;\n }, 0.0);\n return notOverlappedKeypointScores / instanceKeypoints.length;\n}\n\nexport function decodeMultiplePoses(scoresBuffer, offsetsBuffer, displacementsFwdBuffer, displacementsBwdBuffer, config) {\n const poses: Array<{ keypoints: any, score: number }> = [];\n const queue = buildParts.buildPartWithScoreQueue(config.body.scoreThreshold, kLocalMaximumRadius, scoresBuffer);\n const squaredNmsRadius = config.body.nmsRadius ^ 2;\n // Generate at most maxDetections object instances per image in decreasing root part score order.\n while (poses.length < config.body.maxDetections && !queue.empty()) {\n // The top element in the queue is the next root candidate.\n const root = queue.dequeue();\n // Part-based non-maximum suppression: We reject a root candidate if it is within a disk of `nmsRadius` pixels from the corresponding part of a previously detected instance.\n const rootImageCoords = vectors.getImageCoords(root.part, config.body.outputStride, offsetsBuffer);\n if (withinNmsRadiusOfCorrespondingPoint(poses, squaredNmsRadius, rootImageCoords, root.part.id)) continue;\n // Else start a new detection instance at the position of the root.\n const keypoints = decodePose.decodePose(root, scoresBuffer, offsetsBuffer, config.body.outputStride, displacementsFwdBuffer, displacementsBwdBuffer);\n const score = getInstanceScore(poses, squaredNmsRadius, keypoints);\n if (score > config.body.scoreThreshold) poses.push({ keypoints, score });\n }\n return poses;\n}\n", "import * as kpt from './keypoints';\n\nexport function eitherPointDoesntMeetConfidence(a, b, minConfidence) {\n return (a < minConfidence || b < minConfidence);\n}\n\nexport function getAdjacentKeyPoints(keypoints, minConfidence) {\n return kpt.connectedPartIndices.reduce((result, [leftJoint, rightJoint]) => {\n if (eitherPointDoesntMeetConfidence(keypoints[leftJoint].score, keypoints[rightJoint].score, minConfidence)) {\n return result;\n }\n result.push([keypoints[leftJoint], keypoints[rightJoint]]);\n return result;\n }, []);\n}\n\nconst { NEGATIVE_INFINITY, POSITIVE_INFINITY } = Number;\nexport function getBoundingBox(keypoints) {\n return keypoints.reduce(({ maxX, maxY, minX, minY }, { position: { x, y } }) => ({\n maxX: Math.max(maxX, x),\n maxY: Math.max(maxY, y),\n minX: Math.min(minX, x),\n minY: Math.min(minY, y),\n }), {\n maxX: NEGATIVE_INFINITY,\n maxY: NEGATIVE_INFINITY,\n minX: POSITIVE_INFINITY,\n minY: POSITIVE_INFINITY,\n });\n}\n\nexport function getBoundingBoxPoints(keypoints) {\n const { minX, minY, maxX, maxY } = getBoundingBox(keypoints);\n return [{ x: minX, y: minY }, { x: maxX, y: minY }, { x: maxX, y: maxY }, { x: minX, y: maxY }];\n}\n\nexport async function toTensorBuffers3D(tensors) {\n return Promise.all(tensors.map((tensor) => tensor.buffer()));\n}\n\nexport function scalePose(pose, scaleY, scaleX) {\n return {\n score: pose.score,\n keypoints: pose.keypoints.map(({ score, part, position }) => ({\n score,\n part,\n position: { x: position.x * scaleX, y: position.y * scaleY },\n })),\n };\n}\n\nexport function resizeTo(image, [targetH, targetW]) {\n const input = image.squeeze(0);\n const resized = input.resizeBilinear([targetH, targetW]);\n input.dispose();\n return resized;\n}\n\nexport function scaleAndFlipPoses(poses, [height, width], [inputResolutionHeight, inputResolutionWidth]) {\n const scaledPoses = poses.map((pose) => scalePose(pose, height / inputResolutionHeight, width / inputResolutionWidth));\n return scaledPoses;\n}\n", "// https://storage.googleapis.com/tfjs-models/demos/handpose/index.html\n\nimport { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as handdetector from './handdetector';\nimport * as handpipeline from './handpipeline';\nimport * as anchors from './anchors';\n\nconst MESH_ANNOTATIONS = {\n thumb: [1, 2, 3, 4],\n indexFinger: [5, 6, 7, 8],\n middleFinger: [9, 10, 11, 12],\n ringFinger: [13, 14, 15, 16],\n pinky: [17, 18, 19, 20],\n palmBase: [0],\n};\n\nexport class HandPose {\n handPipeline: any;\n\n constructor(handPipeline) {\n this.handPipeline = handPipeline;\n }\n\n static getAnnotations() {\n return MESH_ANNOTATIONS;\n }\n\n async estimateHands(input, config) {\n const predictions = await this.handPipeline.estimateHands(input, config);\n if (!predictions) return [];\n const hands: Array<{ confidence: number, box: any, landmarks: any, annotations: any }> = [];\n for (const prediction of predictions) {\n const annotations = {};\n if (prediction.landmarks) {\n for (const key of Object.keys(MESH_ANNOTATIONS)) {\n annotations[key] = MESH_ANNOTATIONS[key].map((index) => prediction.landmarks[index]);\n }\n }\n const box = prediction.box ? [\n Math.max(0, prediction.box.topLeft[0]),\n Math.max(0, prediction.box.topLeft[1]),\n Math.min(input.shape[2], prediction.box.bottomRight[0]) - prediction.box.topLeft[0],\n Math.min(input.shape[1], prediction.box.bottomRight[1]) - prediction.box.topLeft[1],\n ] : 0;\n hands.push({ confidence: prediction.confidence, box, landmarks: prediction.landmarks, annotations });\n }\n return hands;\n }\n}\n\nexport async function load(config) {\n const [handDetectorModel, handPoseModel] = await Promise.all([\n config.hand.enabled ? tf.loadGraphModel(config.hand.detector.modelPath, { fromTFHub: config.hand.detector.modelPath.includes('tfhub.dev') }) : null,\n config.hand.landmarks ? tf.loadGraphModel(config.hand.skeleton.modelPath, { fromTFHub: config.hand.skeleton.modelPath.includes('tfhub.dev') }) : null,\n ]);\n const handDetector = new handdetector.HandDetector(handDetectorModel, config.hand.inputSize, anchors.anchors);\n const handPipeline = new handpipeline.HandPipeline(handDetector, handPoseModel, config.hand.inputSize);\n const handPose = new HandPose(handPipeline);\n if (config.hand.enabled) log(`load model: ${config.hand.detector.modelPath.match(/\\/(.*)\\./)[1]}`);\n if (config.hand.landmarks) log(`load model: ${config.hand.skeleton.modelPath.match(/\\/(.*)\\./)[1]}`);\n return handPose;\n}\n", "import * as tf from '../../dist/tfjs.esm.js';\n\nexport function getBoxSize(box) {\n return [\n Math.abs(box.endPoint[0] - box.startPoint[0]),\n Math.abs(box.endPoint[1] - box.startPoint[1]),\n ];\n}\n\nexport function getBoxCenter(box) {\n return [\n box.startPoint[0] + (box.endPoint[0] - box.startPoint[0]) / 2,\n box.startPoint[1] + (box.endPoint[1] - box.startPoint[1]) / 2,\n ];\n}\n\nexport function cutBoxFromImageAndResize(box, image, cropSize) {\n const h = image.shape[1];\n const w = image.shape[2];\n const boxes = [[\n box.startPoint[1] / h,\n box.startPoint[0] / w,\n box.endPoint[1] / h,\n box.endPoint[0] / w,\n ]];\n return tf.image.cropAndResize(image, boxes, [0], cropSize);\n}\n\nexport function scaleBoxCoordinates(box, factor) {\n const startPoint = [box.startPoint[0] * factor[0], box.startPoint[1] * factor[1]];\n const endPoint = [box.endPoint[0] * factor[0], box.endPoint[1] * factor[1]];\n const palmLandmarks = box.palmLandmarks.map((coord) => {\n const scaledCoord = [coord[0] * factor[0], coord[1] * factor[1]];\n return scaledCoord;\n });\n return { startPoint, endPoint, palmLandmarks, confidence: box.confidence };\n}\n\nexport function enlargeBox(box, factor = 1.5) {\n const center = getBoxCenter(box);\n const size = getBoxSize(box);\n const newHalfSize = [factor * size[0] / 2, factor * size[1] / 2];\n const startPoint = [center[0] - newHalfSize[0], center[1] - newHalfSize[1]];\n const endPoint = [center[0] + newHalfSize[0], center[1] + newHalfSize[1]];\n return { startPoint, endPoint, palmLandmarks: box.palmLandmarks };\n}\n\nexport function squarifyBox(box) {\n const centers = getBoxCenter(box);\n const size = getBoxSize(box);\n const maxEdge = Math.max(...size);\n const halfSize = maxEdge / 2;\n const startPoint = [centers[0] - halfSize, centers[1] - halfSize];\n const endPoint = [centers[0] + halfSize, centers[1] + halfSize];\n return { startPoint, endPoint, palmLandmarks: box.palmLandmarks };\n}\n\nexport function shiftBox(box, shiftFactor) {\n const boxSize = [\n box.endPoint[0] - box.startPoint[0],\n box.endPoint[1] - box.startPoint[1],\n ];\n const shiftVector = [boxSize[0] * shiftFactor[0], boxSize[1] * shiftFactor[1]];\n const startPoint = [box.startPoint[0] + shiftVector[0], box.startPoint[1] + shiftVector[1]];\n const endPoint = [box.endPoint[0] + shiftVector[0], box.endPoint[1] + shiftVector[1]];\n return { startPoint, endPoint, palmLandmarks: box.palmLandmarks };\n}\n", "import * as tf from '../../dist/tfjs.esm.js';\nimport * as box from './box';\n\nexport class HandDetector {\n model: any;\n anchors: any;\n anchorsTensor: any;\n inputSizeTensor: any;\n doubleInputSizeTensor: any;\n\n constructor(model, inputSize, anchorsAnnotated) {\n this.model = model;\n this.anchors = anchorsAnnotated.map((anchor) => [anchor.x_center, anchor.y_center]);\n this.anchorsTensor = tf.tensor2d(this.anchors);\n this.inputSizeTensor = tf.tensor1d([inputSize, inputSize]);\n this.doubleInputSizeTensor = tf.tensor1d([inputSize * 2, inputSize * 2]);\n }\n\n normalizeBoxes(boxes) {\n return tf.tidy(() => {\n const boxOffsets = tf.slice(boxes, [0, 0], [-1, 2]);\n const boxSizes = tf.slice(boxes, [0, 2], [-1, 2]);\n const boxCenterPoints = tf.add(tf.div(boxOffsets, this.inputSizeTensor), this.anchorsTensor);\n const halfBoxSizes = tf.div(boxSizes, this.doubleInputSizeTensor);\n const startPoints = tf.mul(tf.sub(boxCenterPoints, halfBoxSizes), this.inputSizeTensor);\n const endPoints = tf.mul(tf.add(boxCenterPoints, halfBoxSizes), this.inputSizeTensor);\n return tf.concat2d([startPoints, endPoints], 1);\n });\n }\n\n normalizeLandmarks(rawPalmLandmarks, index) {\n return tf.tidy(() => {\n const landmarks = tf.add(tf.div(rawPalmLandmarks.reshape([-1, 7, 2]), this.inputSizeTensor), this.anchors[index]);\n return tf.mul(landmarks, this.inputSizeTensor);\n });\n }\n\n async getBoxes(input, config) {\n const batched = this.model.predict(input);\n const predictions = batched.squeeze();\n batched.dispose();\n const scoresT = tf.tidy(() => tf.sigmoid(tf.slice(predictions, [0, 0], [-1, 1])).squeeze());\n const scores = scoresT.dataSync();\n const rawBoxes = tf.slice(predictions, [0, 1], [-1, 4]);\n const boxes = this.normalizeBoxes(rawBoxes);\n rawBoxes.dispose();\n const filteredT = await tf.image.nonMaxSuppressionAsync(boxes, scores, config.hand.maxHands, config.hand.iouThreshold, config.hand.scoreThreshold);\n const filtered = filteredT.arraySync();\n\n scoresT.dispose();\n filteredT.dispose();\n const hands: Array<{ box: any, palmLandmarks: any, confidence: number }> = [];\n for (const index of filtered) {\n if (scores[index] >= config.hand.minConfidence) {\n const matchingBox = tf.slice(boxes, [index, 0], [1, -1]);\n const rawPalmLandmarks = tf.slice(predictions, [index, 5], [1, 14]);\n const palmLandmarks = tf.tidy(() => this.normalizeLandmarks(rawPalmLandmarks, index).reshape([-1, 2]));\n rawPalmLandmarks.dispose();\n hands.push({ box: matchingBox, palmLandmarks, confidence: scores[index] });\n }\n }\n predictions.dispose();\n boxes.dispose();\n return hands;\n }\n\n async estimateHandBounds(input, config) {\n const inputHeight = input.shape[1];\n const inputWidth = input.shape[2];\n const image = tf.tidy(() => input.resizeBilinear([config.hand.inputSize, config.hand.inputSize]).div(127.5).sub(1));\n const predictions = await this.getBoxes(image, config);\n image.dispose();\n const hands: Array<{}> = [];\n if (!predictions || predictions.length === 0) return hands;\n for (const prediction of predictions) {\n const boxes = prediction.box.dataSync();\n const startPoint = boxes.slice(0, 2);\n const endPoint = boxes.slice(2, 4);\n const palmLandmarks = prediction.palmLandmarks.arraySync();\n prediction.box.dispose();\n prediction.palmLandmarks.dispose();\n hands.push(box.scaleBoxCoordinates({ startPoint, endPoint, palmLandmarks, confidence: prediction.confidence }, [inputWidth / config.hand.inputSize, inputHeight / config.hand.inputSize]));\n }\n return hands;\n }\n}\n", "export function normalizeRadians(angle) {\n return angle - 2 * Math.PI * Math.floor((angle + Math.PI) / (2 * Math.PI));\n}\n\nexport function computeRotation(point1, point2) {\n const radians = Math.PI / 2 - Math.atan2(-(point2[1] - point1[1]), point2[0] - point1[0]);\n return normalizeRadians(radians);\n}\n\nexport const buildTranslationMatrix = (x, y) => [[1, 0, x], [0, 1, y], [0, 0, 1]];\n\nexport function dot(v1, v2) {\n let product = 0;\n for (let i = 0; i < v1.length; i++) {\n product += v1[i] * v2[i];\n }\n return product;\n}\n\nexport function getColumnFrom2DArr(arr, columnIndex) {\n const column: Array = [];\n for (let i = 0; i < arr.length; i++) {\n column.push(arr[i][columnIndex]);\n }\n return column;\n}\n\nexport function multiplyTransformMatrices(mat1, mat2) {\n const product: Array = [];\n const size = mat1.length;\n for (let row = 0; row < size; row++) {\n product.push([]);\n for (let col = 0; col < size; col++) {\n product[row].push(dot(mat1[row], getColumnFrom2DArr(mat2, col)));\n }\n }\n return product;\n}\n\nexport function buildRotationMatrix(rotation, center) {\n const cosA = Math.cos(rotation);\n const sinA = Math.sin(rotation);\n const rotationMatrix = [[cosA, -sinA, 0], [sinA, cosA, 0], [0, 0, 1]];\n const translationMatrix = buildTranslationMatrix(center[0], center[1]);\n const translationTimesRotation = multiplyTransformMatrices(translationMatrix, rotationMatrix);\n const negativeTranslationMatrix = buildTranslationMatrix(-center[0], -center[1]);\n return multiplyTransformMatrices(translationTimesRotation, negativeTranslationMatrix);\n}\n\nexport function invertTransformMatrix(matrix) {\n const rotationComponent = [[matrix[0][0], matrix[1][0]], [matrix[0][1], matrix[1][1]]];\n const translationComponent = [matrix[0][2], matrix[1][2]];\n const invertedTranslation = [\n -dot(rotationComponent[0], translationComponent),\n -dot(rotationComponent[1], translationComponent),\n ];\n return [\n rotationComponent[0].concat(invertedTranslation[0]),\n rotationComponent[1].concat(invertedTranslation[1]),\n [0, 0, 1],\n ];\n}\n\nexport function rotatePoint(homogeneousCoordinate, rotationMatrix) {\n return [\n dot(homogeneousCoordinate, rotationMatrix[0]),\n dot(homogeneousCoordinate, rotationMatrix[1]),\n ];\n}\n", "import * as tf from '../../dist/tfjs.esm.js';\nimport * as box from './box';\nimport * as util from './util';\n\n// const PALM_BOX_SHIFT_VECTOR = [0, -0.4];\nconst PALM_BOX_ENLARGE_FACTOR = 5; // default 3\n// const HAND_BOX_SHIFT_VECTOR = [0, -0.1]; // move detected hand box by x,y to ease landmark detection\nconst HAND_BOX_ENLARGE_FACTOR = 1.65; // default 1.65\nconst PALM_LANDMARK_IDS = [0, 5, 9, 13, 17, 1, 2];\nconst PALM_LANDMARKS_INDEX_OF_PALM_BASE = 0;\nconst PALM_LANDMARKS_INDEX_OF_MIDDLE_FINGER_BASE = 2;\n\nexport class HandPipeline {\n handDetector: any;\n landmarkDetector: any;\n inputSize: number;\n storedBoxes: any;\n skipped: number;\n detectedHands: number;\n\n constructor(handDetector, landmarkDetector, inputSize) {\n this.handDetector = handDetector;\n this.landmarkDetector = landmarkDetector;\n this.inputSize = inputSize;\n this.storedBoxes = [];\n this.skipped = 0;\n this.detectedHands = 0;\n }\n\n getBoxForPalmLandmarks(palmLandmarks, rotationMatrix) {\n const rotatedPalmLandmarks = palmLandmarks.map((coord) => util.rotatePoint([...coord, 1], rotationMatrix));\n const boxAroundPalm = this.calculateLandmarksBoundingBox(rotatedPalmLandmarks);\n // return box.enlargeBox(box.squarifyBox(box.shiftBox(boxAroundPalm, PALM_BOX_SHIFT_VECTOR)), PALM_BOX_ENLARGE_FACTOR);\n return box.enlargeBox(box.squarifyBox(boxAroundPalm), PALM_BOX_ENLARGE_FACTOR);\n }\n\n getBoxForHandLandmarks(landmarks) {\n const boundingBox = this.calculateLandmarksBoundingBox(landmarks);\n // const boxAroundHand = box.enlargeBox(box.squarifyBox(box.shiftBox(boundingBox, HAND_BOX_SHIFT_VECTOR)), HAND_BOX_ENLARGE_FACTOR);\n const boxAroundHand = box.enlargeBox(box.squarifyBox(boundingBox), HAND_BOX_ENLARGE_FACTOR);\n boxAroundHand.palmLandmarks = [];\n for (let i = 0; i < PALM_LANDMARK_IDS.length; i++) {\n boxAroundHand.palmLandmarks.push(landmarks[PALM_LANDMARK_IDS[i]].slice(0, 2));\n }\n return boxAroundHand;\n }\n\n transformRawCoords(rawCoords, box2, angle, rotationMatrix) {\n const boxSize = box.getBoxSize(box2);\n const scaleFactor = [boxSize[0] / this.inputSize, boxSize[1] / this.inputSize, (boxSize[0] + boxSize[1]) / this.inputSize / 2];\n const coordsScaled = rawCoords.map((coord) => [\n scaleFactor[0] * (coord[0] - this.inputSize / 2),\n scaleFactor[1] * (coord[1] - this.inputSize / 2),\n scaleFactor[2] * coord[2],\n ]);\n const coordsRotationMatrix = util.buildRotationMatrix(angle, [0, 0]);\n const coordsRotated = coordsScaled.map((coord) => {\n const rotated = util.rotatePoint(coord, coordsRotationMatrix);\n return [...rotated, coord[2]];\n });\n const inverseRotationMatrix = util.invertTransformMatrix(rotationMatrix);\n const boxCenter = [...box.getBoxCenter(box2), 1];\n const originalBoxCenter = [\n util.dot(boxCenter, inverseRotationMatrix[0]),\n util.dot(boxCenter, inverseRotationMatrix[1]),\n ];\n return coordsRotated.map((coord) => [\n coord[0] + originalBoxCenter[0],\n coord[1] + originalBoxCenter[1],\n coord[2],\n ]);\n }\n\n async estimateHands(image, config) {\n let useFreshBox = false;\n\n // run new detector every skipFrames unless we only want box to start with\n let boxes;\n if ((this.skipped === 0) || (this.skipped > config.hand.skipFrames) || !config.hand.landmarks || !config.videoOptimized) {\n boxes = await this.handDetector.estimateHandBounds(image, config);\n this.skipped = 0;\n }\n if (config.videoOptimized) this.skipped++;\n\n // if detector result count doesn't match current working set, use it to reset current working set\n if (boxes && (boxes.length > 0) && ((boxes.length !== this.detectedHands) && (this.detectedHands !== config.hand.maxHands) || !config.hand.landmarks)) {\n this.detectedHands = 0;\n this.storedBoxes = [...boxes];\n // for (const possible of boxes) this.storedBoxes.push(possible);\n if (this.storedBoxes.length > 0) useFreshBox = true;\n }\n const hands: Array<{}> = [];\n // log('hand', `skipped: ${this.skipped} max: ${config.hand.maxHands} detected: ${this.detectedHands} stored: ${this.storedBoxes.length} new: ${boxes?.length}`);\n\n // go through working set of boxes\n for (let i = 0; i < this.storedBoxes.length; i++) {\n const currentBox = this.storedBoxes[i];\n if (!currentBox) continue;\n if (config.hand.landmarks) {\n const angle = config.hand.rotation ? util.computeRotation(currentBox.palmLandmarks[PALM_LANDMARKS_INDEX_OF_PALM_BASE], currentBox.palmLandmarks[PALM_LANDMARKS_INDEX_OF_MIDDLE_FINGER_BASE]) : 0;\n const palmCenter = box.getBoxCenter(currentBox);\n const palmCenterNormalized = [palmCenter[0] / image.shape[2], palmCenter[1] / image.shape[1]];\n const rotatedImage = config.hand.rotation ? tf.image.rotateWithOffset(image, angle, 0, palmCenterNormalized) : image.clone();\n const rotationMatrix = util.buildRotationMatrix(-angle, palmCenter);\n const newBox = useFreshBox ? this.getBoxForPalmLandmarks(currentBox.palmLandmarks, rotationMatrix) : currentBox;\n const croppedInput = box.cutBoxFromImageAndResize(newBox, rotatedImage, [this.inputSize, this.inputSize]);\n const handImage = croppedInput.div(255);\n croppedInput.dispose();\n rotatedImage.dispose();\n const [confidenceT, keypoints] = await this.landmarkDetector.predict(handImage);\n handImage.dispose();\n const confidence = confidenceT.dataSync()[0];\n confidenceT.dispose();\n if (confidence >= config.hand.minConfidence) {\n const keypointsReshaped = tf.reshape(keypoints, [-1, 3]);\n const rawCoords = keypointsReshaped.arraySync();\n keypoints.dispose();\n keypointsReshaped.dispose();\n const coords = this.transformRawCoords(rawCoords, newBox, angle, rotationMatrix);\n const nextBoundingBox = this.getBoxForHandLandmarks(coords);\n this.storedBoxes[i] = nextBoundingBox;\n const result = {\n landmarks: coords,\n confidence,\n box: { topLeft: nextBoundingBox.startPoint, bottomRight: nextBoundingBox.endPoint },\n };\n hands.push(result);\n } else {\n this.storedBoxes[i] = null;\n }\n keypoints.dispose();\n } else {\n // const enlarged = box.enlargeBox(box.squarifyBox(box.shiftBox(currentBox, HAND_BOX_SHIFT_VECTOR)), HAND_BOX_ENLARGE_FACTOR);\n const enlarged = box.enlargeBox(box.squarifyBox(currentBox), HAND_BOX_ENLARGE_FACTOR);\n const result = {\n confidence: currentBox.confidence,\n box: { topLeft: enlarged.startPoint, bottomRight: enlarged.endPoint },\n };\n hands.push(result);\n }\n }\n this.storedBoxes = this.storedBoxes.filter((a) => a !== null);\n this.detectedHands = hands.length;\n return hands;\n }\n\n // eslint-disable-next-line class-methods-use-this\n calculateLandmarksBoundingBox(landmarks) {\n const xs = landmarks.map((d) => d[0]);\n const ys = landmarks.map((d) => d[1]);\n const startPoint = [Math.min(...xs), Math.min(...ys)];\n const endPoint = [Math.max(...xs), Math.max(...ys)];\n return { startPoint, endPoint };\n }\n}\n", "export const anchors = [\n {\n w: 1,\n h: 1,\n x_center: 0.015625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.015625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.046875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.046875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.078125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.078125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.109375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.109375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.140625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.140625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.171875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.171875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.203125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.203125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.234375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.234375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.265625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.265625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.296875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.296875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.328125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.328125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.359375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.359375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.390625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.390625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.421875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.421875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.453125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.453125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.484375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.484375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.515625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.515625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.546875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.546875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.578125,\n 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y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.9375,\n },\n];\n", "export const body = (res) => {\n if (!res) return [];\n const gestures: Array<{ body: number, gesture: string }> = [];\n for (let i = 0; i < res.length; i++) {\n // raising hands\n const leftWrist = res[i].keypoints.find((a) => (a.part === 'leftWrist'));\n const rightWrist = res[i].keypoints.find((a) => (a.part === 'rightWrist'));\n const nose = res[i].keypoints.find((a) => (a.part === 'nose'));\n if (nose && leftWrist && rightWrist && (leftWrist.position.y < nose.position.y) && (rightWrist.position.y < nose.position.y)) gestures.push({ body: i, gesture: 'i give up' });\n else if (nose && leftWrist && (leftWrist.position.y < nose.position.y)) gestures.push({ body: i, gesture: 'raise left hand' });\n else if (nose && rightWrist && (rightWrist.position.y < nose.position.y)) gestures.push({ body: i, gesture: 'raise right hand' });\n\n // leaning\n const leftShoulder = res[i].keypoints.find((a) => (a.part === 'leftShoulder'));\n const rightShoulder = res[i].keypoints.find((a) => (a.part === 'rightShoulder'));\n if (leftShoulder && rightShoulder) gestures.push({ body: i, gesture: `leaning ${(leftShoulder.position.y > rightShoulder.position.y) ? 'left' : 'right'}` });\n }\n return gestures;\n};\n\nexport const face = (res) => {\n if (!res) return [];\n const gestures: Array<{ face: number, gesture: string }> = [];\n for (let i = 0; i < res.length; i++) {\n if (res[i].mesh && res[i].mesh.length > 0) {\n const eyeFacing = res[i].mesh[35][2] - res[i].mesh[263][2];\n if (Math.abs(eyeFacing) < 10) gestures.push({ face: i, gesture: 'facing camera' });\n else gestures.push({ face: i, gesture: `facing ${eyeFacing < 0 ? 'right' : 'left'}` });\n const openLeft = Math.abs(res[i].mesh[374][1] - res[i].mesh[386][1]) / Math.abs(res[i].mesh[443][1] - res[i].mesh[450][1]); // center of eye inner lid y coord div center of wider eye border y coord\n if (openLeft < 0.2) gestures.push({ face: i, gesture: 'blink left eye' });\n const openRight = Math.abs(res[i].mesh[145][1] - res[i].mesh[159][1]) / Math.abs(res[i].mesh[223][1] - res[i].mesh[230][1]); // center of eye inner lid y coord div center of wider eye border y coord\n if (openRight < 0.2) gestures.push({ face: i, gesture: 'blink right eye' });\n const mouthOpen = Math.min(100, 500 * Math.abs(res[i].mesh[13][1] - res[i].mesh[14][1]) / Math.abs(res[i].mesh[10][1] - res[i].mesh[152][1]));\n if (mouthOpen > 10) gestures.push({ face: i, gesture: `mouth ${Math.trunc(mouthOpen)}% open` });\n const chinDepth = res[i].mesh[152][2];\n if (Math.abs(chinDepth) > 10) gestures.push({ face: i, gesture: `head ${chinDepth < 0 ? 'up' : 'down'}` });\n }\n }\n return gestures;\n};\n\nexport const iris = (res) => {\n if (!res) return [];\n const gestures: Array<{ iris: number, gesture: string }> = [];\n for (let i = 0; i < res.length; i++) {\n if (!res[i].annotations || !res[i].annotations.leftEyeIris || !res[i].annotations.rightEyeIris) continue;\n const sizeXLeft = res[i].annotations.leftEyeIris[3][0] - res[i].annotations.leftEyeIris[1][0];\n const sizeYLeft = res[i].annotations.leftEyeIris[4][1] - res[i].annotations.leftEyeIris[2][1];\n const areaLeft = Math.abs(sizeXLeft * sizeYLeft);\n\n const sizeXRight = res[i].annotations.rightEyeIris[3][0] - res[i].annotations.rightEyeIris[1][0];\n const sizeYRight = res[i].annotations.rightEyeIris[4][1] - res[i].annotations.rightEyeIris[2][1];\n const areaRight = Math.abs(sizeXRight * sizeYRight);\n\n const difference = Math.abs(areaLeft - areaRight) / Math.max(areaLeft, areaRight);\n if (difference < 0.25) gestures.push({ iris: i, gesture: 'looking at camera' });\n }\n return gestures;\n};\n\nexport const hand = (res) => {\n if (!res) return [];\n const gestures: Array<{ hand: number, gesture: string }> = [];\n for (let i = 0; i < res.length; i++) {\n const fingers: Array<{ name: string, position: number }> = [];\n for (const [finger, pos] of Object.entries(res[i]['annotations'])) {\n // @ts-ignore\n if (finger !== 'palmBase') fingers.push({ name: finger.toLowerCase(), position: pos[0] }); // get tip of each finger\n }\n if (fingers && fingers.length > 0) {\n const closest = fingers.reduce((best, a) => (best.position[2] < a.position[2] ? best : a));\n const highest = fingers.reduce((best, a) => (best.position[1] < a.position[1] ? best : a));\n gestures.push({ hand: i, gesture: `${closest.name} forward ${highest.name} up` });\n }\n }\n return gestures;\n};\n", "/*\nWebGLImageFilter - MIT Licensed\n2013, Dominic Szablewski - phoboslab.org\n\n*/\n\nfunction GLProgram(gl, vertexSource, fragmentSource) {\n const _collect = function (source, prefix, collection) {\n const r = new RegExp('\\\\b' + prefix + ' \\\\w+ (\\\\w+)', 'ig');\n source.replace(r, (match, name) => {\n collection[name] = 0;\n return match;\n });\n };\n\n const _compile = function (source, type) {\n const shader = gl.createShader(type);\n gl.shaderSource(shader, source);\n gl.compileShader(shader);\n if (!gl.getShaderParameter(shader, gl.COMPILE_STATUS)) {\n // @ts-ignore\n throw new Error('Filter: GL compile failed', gl.getShaderInfoLog(shader));\n }\n return shader;\n };\n\n this.uniform = {};\n this.attribute = {};\n const _vsh = _compile(vertexSource, gl.VERTEX_SHADER);\n const _fsh = _compile(fragmentSource, gl.FRAGMENT_SHADER);\n this.id = gl.createProgram();\n gl.attachShader(this.id, _vsh);\n gl.attachShader(this.id, _fsh);\n gl.linkProgram(this.id);\n\n if (!gl.getProgramParameter(this.id, gl.LINK_STATUS)) {\n // @ts-ignore\n throw new Error('Filter: GL link failed', gl.getProgramInfoLog(this.id));\n }\n\n gl.useProgram(this.id);\n // Collect attributes\n _collect(vertexSource, 'attribute', this.attribute);\n for (const a in this.attribute) this.attribute[a] = gl.getAttribLocation(this.id, a);\n // Collect uniforms\n _collect(vertexSource, 'uniform', this.uniform);\n _collect(fragmentSource, 'uniform', this.uniform);\n for (const u in this.uniform) this.uniform[u] = gl.getUniformLocation(this.id, u);\n}\n\n// export const GLImageFilter = function (params) {\nexport function GLImageFilter(params) {\n if (!params) params = { };\n let _drawCount = 0;\n let _sourceTexture = null;\n let _lastInChain = false;\n let _currentFramebufferIndex = -1;\n let _tempFramebuffers = [null, null];\n let _filterChain = [];\n let _width = -1;\n let _height = -1;\n let _vertexBuffer = null;\n let _currentProgram = null;\n const _filter = {};\n const _canvas = params.canvas || document.createElement('canvas');\n // key is the shader program source, value is the compiled program\n const _shaderProgramCache = { };\n const DRAW = { INTERMEDIATE: 1 };\n const gl = _canvas.getContext('webgl');\n if (!gl) throw new Error('Filter: getContext() failed');\n\n this.addFilter = function (name) {\n // eslint-disable-next-line prefer-rest-params\n const args = Array.prototype.slice.call(arguments, 1);\n const filter = _filter[name];\n _filterChain.push({ func: filter, args });\n };\n\n this.reset = function () {\n _filterChain = [];\n };\n\n const _resize = function (width, height) {\n // Same width/height? Nothing to do here\n if (width === _width && height === _height) { return; }\n _canvas.width = width;\n _width = width;\n _canvas.height = height;\n _height = height;\n // Create the context if we don't have it yet\n if (!_vertexBuffer) {\n // Create the vertex buffer for the two triangles [x, y, u, v] * 6\n const vertices = new Float32Array([\n -1, -1, 0, 1, 1, -1, 1, 1, -1, 1, 0, 0,\n -1, 1, 0, 0, 1, -1, 1, 1, 1, 1, 1, 0,\n ]);\n // eslint-disable-next-line no-unused-expressions\n (_vertexBuffer = gl.createBuffer(), gl.bindBuffer(gl.ARRAY_BUFFER, _vertexBuffer));\n gl.bufferData(gl.ARRAY_BUFFER, vertices, gl.STATIC_DRAW);\n gl.pixelStorei(gl.UNPACK_PREMULTIPLY_ALPHA_WEBGL, true);\n }\n gl.viewport(0, 0, _width, _height);\n // Delete old temp framebuffers\n _tempFramebuffers = [null, null];\n };\n\n const _createFramebufferTexture = function (width, height) {\n const fbo = gl.createFramebuffer();\n gl.bindFramebuffer(gl.FRAMEBUFFER, fbo);\n const renderbuffer = gl.createRenderbuffer();\n gl.bindRenderbuffer(gl.RENDERBUFFER, renderbuffer);\n const texture = gl.createTexture();\n gl.bindTexture(gl.TEXTURE_2D, texture);\n gl.texImage2D(gl.TEXTURE_2D, 0, gl.RGBA, width, height, 0, gl.RGBA, gl.UNSIGNED_BYTE, null);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MAG_FILTER, gl.LINEAR);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MIN_FILTER, gl.LINEAR);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_S, gl.CLAMP_TO_EDGE);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_T, gl.CLAMP_TO_EDGE);\n gl.framebufferTexture2D(gl.FRAMEBUFFER, gl.COLOR_ATTACHMENT0, gl.TEXTURE_2D, texture, 0);\n gl.bindTexture(gl.TEXTURE_2D, null);\n gl.bindFramebuffer(gl.FRAMEBUFFER, null);\n return { fbo, texture };\n };\n\n const _getTempFramebuffer = function (index) {\n // @ts-ignore\n _tempFramebuffers[index] = _tempFramebuffers[index] || _createFramebufferTexture(_width, _height);\n return _tempFramebuffers[index];\n };\n\n const _draw = function (flags = null) {\n let source = null;\n let target = null;\n let flipY = false;\n // Set up the source\n if (_drawCount === 0) {\n // First draw call - use the source texture\n source = _sourceTexture;\n } else {\n // All following draw calls use the temp buffer last drawn to\n // @ts-ignore\n source = _getTempFramebuffer(_currentFramebufferIndex)?.texture;\n }\n _drawCount++;\n // Set up the target\n if (_lastInChain && !(flags & DRAW.INTERMEDIATE)) {\n // Last filter in our chain - draw directly to the WebGL Canvas. We may\n // also have to flip the image vertically now\n target = null;\n flipY = _drawCount % 2 === 0;\n } else {\n // Intermediate draw call - get a temp buffer to draw to\n _currentFramebufferIndex = (_currentFramebufferIndex + 1) % 2;\n // @ts-ignore\n target = _getTempFramebuffer(_currentFramebufferIndex)?.fbo;\n }\n // Bind the source and target and draw the two triangles\n gl.bindTexture(gl.TEXTURE_2D, source);\n gl.bindFramebuffer(gl.FRAMEBUFFER, target);\n gl.uniform1f(_currentProgram.uniform.flipY, (flipY ? -1 : 1));\n gl.drawArrays(gl.TRIANGLES, 0, 6);\n };\n\n this.apply = function (image) {\n _resize(image.width, image.height);\n _drawCount = 0;\n // Create the texture for the input image if we haven't yet\n if (!_sourceTexture) _sourceTexture = gl.createTexture();\n gl.bindTexture(gl.TEXTURE_2D, _sourceTexture);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_S, gl.CLAMP_TO_EDGE);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_T, gl.CLAMP_TO_EDGE);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MIN_FILTER, gl.NEAREST);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MAG_FILTER, gl.NEAREST);\n gl.texImage2D(gl.TEXTURE_2D, 0, gl.RGBA, gl.RGBA, gl.UNSIGNED_BYTE, image);\n // No filters? Just draw\n if (_filterChain.length === 0) {\n // const program = _compileShader(SHADER.FRAGMENT_IDENTITY);\n _draw();\n return _canvas;\n }\n for (let i = 0; i < _filterChain.length; i++) {\n _lastInChain = (i === _filterChain.length - 1);\n const f = _filterChain[i];\n f.func.apply(this, f.args || []);\n }\n return _canvas;\n };\n\n const _compileShader = function (fragmentSource) {\n if (_shaderProgramCache[fragmentSource]) {\n _currentProgram = _shaderProgramCache[fragmentSource];\n gl.useProgram(_currentProgram.id);\n return _currentProgram;\n }\n // Compile shaders\n const SHADER = {};\n SHADER.VERTEX_IDENTITY = [\n 'precision highp float;',\n 'attribute vec2 pos;',\n 'attribute vec2 uv;',\n 'varying vec2 vUv;',\n 'uniform float flipY;',\n 'void main(void) {',\n 'vUv = uv;',\n 'gl_Position = vec4(pos.x, pos.y*flipY, 0.0, 1.);',\n '}',\n ].join('\\n');\n SHADER.FRAGMENT_IDENTITY = [\n 'precision highp float;',\n 'varying vec2 vUv;',\n 'uniform sampler2D texture;',\n 'void main(void) {',\n 'gl_FragColor = texture2D(texture, vUv);',\n '}',\n ].join('\\n');\n _currentProgram = new GLProgram(gl, SHADER.VERTEX_IDENTITY, fragmentSource);\n const floatSize = Float32Array.BYTES_PER_ELEMENT;\n const vertSize = 4 * floatSize;\n gl.enableVertexAttribArray(_currentProgram.attribute.pos);\n gl.vertexAttribPointer(_currentProgram.attribute.pos, 2, gl.FLOAT, false, vertSize, 0 * floatSize);\n gl.enableVertexAttribArray(_currentProgram.attribute.uv);\n gl.vertexAttribPointer(_currentProgram.attribute.uv, 2, gl.FLOAT, false, vertSize, 2 * floatSize);\n _shaderProgramCache[fragmentSource] = _currentProgram;\n return _currentProgram;\n };\n\n // -------------------------------------------------------------------------\n // Color Matrix Filter\n _filter.colorMatrix = function (matrix) {\n // Create a Float32 Array and normalize the offset component to 0-1\n const m = new Float32Array(matrix);\n m[4] /= 255;\n m[9] /= 255;\n m[14] /= 255;\n m[19] /= 255;\n // Can we ignore the alpha value? Makes things a bit faster.\n const shader = (m[18] === 1 && m[3] === 0 && m[8] === 0 && m[13] === 0 && m[15] === 0 && m[16] === 0 && m[17] === 0 && m[19] === 0)\n ? _filter.colorMatrix.SHADER.WITHOUT_ALPHA\n : _filter.colorMatrix.SHADER.WITH_ALPHA;\n const program = _compileShader(shader);\n gl.uniform1fv(program.uniform.m, m);\n _draw();\n };\n _filter.colorMatrix.SHADER = {};\n _filter.colorMatrix.SHADER.WITH_ALPHA = [\n 'precision highp float;',\n 'varying vec2 vUv;',\n 'uniform sampler2D texture;',\n 'uniform float m[20];',\n 'void main(void) {',\n 'vec4 c = texture2D(texture, vUv);',\n 'gl_FragColor.r = m[0] * c.r + m[1] * c.g + m[2] * c.b + m[3] * c.a + m[4];',\n 'gl_FragColor.g = m[5] * c.r + m[6] * c.g + m[7] * c.b + m[8] * c.a + m[9];',\n 'gl_FragColor.b = m[10] * c.r + m[11] * c.g + m[12] * c.b + m[13] * c.a + m[14];',\n 'gl_FragColor.a = m[15] * c.r + m[16] * c.g + m[17] * c.b + m[18] * c.a + m[19];',\n '}',\n ].join('\\n');\n _filter.colorMatrix.SHADER.WITHOUT_ALPHA = [\n 'precision highp float;',\n 'varying vec2 vUv;',\n 'uniform sampler2D texture;',\n 'uniform float m[20];',\n 'void main(void) {',\n 'vec4 c = texture2D(texture, vUv);',\n 'gl_FragColor.r = m[0] * c.r + m[1] * c.g + m[2] * c.b + m[4];',\n 'gl_FragColor.g = m[5] * c.r + m[6] * c.g + m[7] * c.b + m[9];',\n 'gl_FragColor.b = m[10] * c.r + m[11] * c.g + m[12] * c.b + m[14];',\n 'gl_FragColor.a = c.a;',\n '}',\n ].join('\\n');\n\n _filter.brightness = function (brightness) {\n const b = (brightness || 0) + 1;\n _filter.colorMatrix([\n b, 0, 0, 0, 0,\n 0, b, 0, 0, 0,\n 0, 0, b, 0, 0,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.saturation = function (amount) {\n const x = (amount || 0) * 2 / 3 + 1;\n const y = ((x - 1) * -0.5);\n _filter.colorMatrix([\n x, y, y, 0, 0,\n y, x, y, 0, 0,\n y, y, x, 0, 0,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.desaturate = function () {\n _filter.saturation(-1);\n };\n\n _filter.contrast = function (amount) {\n const v = (amount || 0) + 1;\n const o = -128 * (v - 1);\n\n _filter.colorMatrix([\n v, 0, 0, 0, o,\n 0, v, 0, 0, o,\n 0, 0, v, 0, o,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.negative = function () {\n _filter.contrast(-2);\n };\n\n _filter.hue = function (rotation) {\n rotation = (rotation || 0) / 180 * Math.PI;\n const cos = Math.cos(rotation);\n const sin = Math.sin(rotation);\n const lumR = 0.213;\n const lumG = 0.715;\n const lumB = 0.072;\n\n _filter.colorMatrix([\n lumR + cos * (1 - lumR) + sin * (-lumR), lumG + cos * (-lumG) + sin * (-lumG), lumB + cos * (-lumB) + sin * (1 - lumB), 0, 0,\n lumR + cos * (-lumR) + sin * (0.143), lumG + cos * (1 - lumG) + sin * (0.140), lumB + cos * (-lumB) + sin * (-0.283), 0, 0,\n lumR + cos * (-lumR) + sin * (-(1 - lumR)), lumG + cos * (-lumG) + sin * (lumG), lumB + cos * (1 - lumB) + sin * (lumB), 0, 0,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.desaturateLuminance = function () {\n _filter.colorMatrix([\n 0.2764723, 0.9297080, 0.0938197, 0, -37.1,\n 0.2764723, 0.9297080, 0.0938197, 0, -37.1,\n 0.2764723, 0.9297080, 0.0938197, 0, -37.1,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.sepia = function () {\n _filter.colorMatrix([\n 0.393, 0.7689999, 0.18899999, 0, 0,\n 0.349, 0.6859999, 0.16799999, 0, 0,\n 0.272, 0.5339999, 0.13099999, 0, 0,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.brownie = function () {\n _filter.colorMatrix([\n 0.5997023498159715, 0.34553243048391263, -0.2708298674538042, 0, 47.43192855600873,\n -0.037703249837783157, 0.8609577587992641, 0.15059552388459913, 0, -36.96841498319127,\n 0.24113635128153335, -0.07441037908422492, 0.44972182064877153, 0, -7.562075277591283,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.vintagePinhole = function () {\n _filter.colorMatrix([\n 0.6279345635605994, 0.3202183420819367, -0.03965408211312453, 0, 9.651285835294123,\n 0.02578397704808868, 0.6441188644374771, 0.03259127616149294, 0, 7.462829176470591,\n 0.0466055556782719, -0.0851232987247891, 0.5241648018700465, 0, 5.159190588235296,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.kodachrome = function () {\n _filter.colorMatrix([\n 1.1285582396593525, -0.3967382283601348, -0.03992559172921793, 0, 63.72958762196502,\n -0.16404339962244616, 1.0835251566291304, -0.05498805115633132, 0, 24.732407896706203,\n -0.16786010706155763, -0.5603416277695248, 1.6014850761964943, 0, 35.62982807460946,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.technicolor = function () {\n _filter.colorMatrix([\n 1.9125277891456083, -0.8545344976951645, -0.09155508482755585, 0, 11.793603434377337,\n -0.3087833385928097, 1.7658908555458428, -0.10601743074722245, 0, -70.35205161461398,\n -0.231103377548616, -0.7501899197440212, 1.847597816108189, 0, 30.950940869491138,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.polaroid = function () {\n _filter.colorMatrix([\n 1.438, -0.062, -0.062, 0, 0,\n -0.122, 1.378, -0.122, 0, 0,\n -0.016, -0.016, 1.483, 0, 0,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.shiftToBGR = function () {\n _filter.colorMatrix([\n 0, 0, 1, 0, 0,\n 0, 1, 0, 0, 0,\n 1, 0, 0, 0, 0,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n // -------------------------------------------------------------------------\n // Convolution Filter\n _filter.convolution = function (matrix) {\n const m = new Float32Array(matrix);\n const pixelSizeX = 1 / _width;\n const pixelSizeY = 1 / _height;\n const program = _compileShader(_filter.convolution.SHADER);\n gl.uniform1fv(program.uniform.m, m);\n gl.uniform2f(program.uniform.px, pixelSizeX, pixelSizeY);\n _draw();\n };\n\n _filter.convolution.SHADER = [\n 'precision highp float;',\n 'varying vec2 vUv;',\n 'uniform sampler2D texture;',\n 'uniform vec2 px;',\n 'uniform float m[9];',\n 'void main(void) {',\n 'vec4 c11 = texture2D(texture, vUv - px);', // top left\n 'vec4 c12 = texture2D(texture, vec2(vUv.x, vUv.y - px.y));', // top center\n 'vec4 c13 = texture2D(texture, vec2(vUv.x + px.x, vUv.y - px.y));', // top right\n 'vec4 c21 = texture2D(texture, vec2(vUv.x - px.x, vUv.y) );', // mid left\n 'vec4 c22 = texture2D(texture, vUv);', // mid center\n 'vec4 c23 = texture2D(texture, vec2(vUv.x + px.x, vUv.y) );', // mid right\n 'vec4 c31 = texture2D(texture, vec2(vUv.x - px.x, vUv.y + px.y) );', // bottom left\n 'vec4 c32 = texture2D(texture, vec2(vUv.x, vUv.y + px.y) );', // bottom center\n 'vec4 c33 = texture2D(texture, vUv + px );', // bottom right\n 'gl_FragColor = ',\n 'c11 * m[0] + c12 * m[1] + c22 * m[2] +',\n 'c21 * m[3] + c22 * m[4] + c23 * m[5] +',\n 'c31 * m[6] + c32 * m[7] + c33 * m[8];',\n 'gl_FragColor.a = c22.a;',\n '}',\n ].join('\\n');\n\n _filter.detectEdges = function () {\n _filter.convolution.call(this, [\n 0, 1, 0,\n 1, -4, 1,\n 0, 1, 0,\n ]);\n };\n\n _filter.sobelX = function () {\n _filter.convolution.call(this, [\n -1, 0, 1,\n -2, 0, 2,\n -1, 0, 1,\n ]);\n };\n\n _filter.sobelY = function () {\n _filter.convolution.call(this, [\n -1, -2, -1,\n 0, 0, 0,\n 1, 2, 1,\n ]);\n };\n\n _filter.sharpen = function (amount) {\n const a = amount || 1;\n _filter.convolution.call(this, [\n 0, -1 * a, 0,\n -1 * a, 1 + 4 * a, -1 * a,\n 0, -1 * a, 0,\n ]);\n };\n\n _filter.emboss = function (size) {\n const s = size || 1;\n _filter.convolution.call(this, [\n -2 * s, -1 * s, 0,\n -1 * s, 1, 1 * s,\n 0, 1 * s, 2 * s,\n ]);\n };\n\n // -------------------------------------------------------------------------\n // Blur Filter\n _filter.blur = function (size) {\n const blurSizeX = (size / 7) / _width;\n const blurSizeY = (size / 7) / _height;\n const program = _compileShader(_filter.blur.SHADER);\n // Vertical\n gl.uniform2f(program.uniform.px, 0, blurSizeY);\n _draw(DRAW.INTERMEDIATE);\n // Horizontal\n gl.uniform2f(program.uniform.px, blurSizeX, 0);\n _draw();\n };\n\n _filter.blur.SHADER = [\n 'precision highp float;',\n 'varying vec2 vUv;',\n 'uniform sampler2D texture;',\n 'uniform vec2 px;',\n 'void main(void) {',\n 'gl_FragColor = vec4(0.0);',\n 'gl_FragColor += texture2D(texture, vUv + vec2(-7.0*px.x, -7.0*px.y))*0.0044299121055113265;',\n 'gl_FragColor += texture2D(texture, vUv + vec2(-6.0*px.x, -6.0*px.y))*0.00895781211794;',\n 'gl_FragColor += texture2D(texture, vUv + vec2(-5.0*px.x, -5.0*px.y))*0.0215963866053;',\n 'gl_FragColor += texture2D(texture, vUv + vec2(-4.0*px.x, -4.0*px.y))*0.0443683338718;',\n 'gl_FragColor += texture2D(texture, vUv + vec2(-3.0*px.x, -3.0*px.y))*0.0776744219933;',\n 'gl_FragColor += texture2D(texture, vUv + vec2(-2.0*px.x, -2.0*px.y))*0.115876621105;',\n 'gl_FragColor += texture2D(texture, vUv + vec2(-1.0*px.x, -1.0*px.y))*0.147308056121;',\n 'gl_FragColor += texture2D(texture, vUv )*0.159576912161;',\n 'gl_FragColor += texture2D(texture, vUv + vec2( 1.0*px.x, 1.0*px.y))*0.147308056121;',\n 'gl_FragColor += texture2D(texture, vUv + vec2( 2.0*px.x, 2.0*px.y))*0.115876621105;',\n 'gl_FragColor += texture2D(texture, vUv + vec2( 3.0*px.x, 3.0*px.y))*0.0776744219933;',\n 'gl_FragColor += texture2D(texture, vUv + vec2( 4.0*px.x, 4.0*px.y))*0.0443683338718;',\n 'gl_FragColor += texture2D(texture, vUv + vec2( 5.0*px.x, 5.0*px.y))*0.0215963866053;',\n 'gl_FragColor += texture2D(texture, vUv + vec2( 6.0*px.x, 6.0*px.y))*0.00895781211794;',\n 'gl_FragColor += texture2D(texture, vUv + vec2( 7.0*px.x, 7.0*px.y))*0.0044299121055113265;',\n '}',\n ].join('\\n');\n\n // -------------------------------------------------------------------------\n // Pixelate Filter\n _filter.pixelate = function (size) {\n const blurSizeX = (size) / _width;\n const blurSizeY = (size) / _height;\n const program = _compileShader(_filter.pixelate.SHADER);\n // Horizontal\n gl.uniform2f(program.uniform.size, blurSizeX, blurSizeY);\n _draw();\n };\n\n _filter.pixelate.SHADER = [\n 'precision highp float;',\n 'varying vec2 vUv;',\n 'uniform vec2 size;',\n 'uniform sampler2D texture;',\n 'vec2 pixelate(vec2 coord, vec2 size) {',\n 'return floor( coord / size ) * size;',\n '}',\n 'void main(void) {',\n 'gl_FragColor = vec4(0.0);',\n 'vec2 coord = pixelate(vUv, size);',\n 'gl_FragColor += texture2D(texture, coord);',\n '}',\n ].join('\\n');\n}\n", "// @ts-nocheck\n\nimport { log } from './log';\nimport * as tf from '../dist/tfjs.esm.js';\nimport * as fxImage from './imagefx';\n\n// internal temp canvases\nlet inCanvas = null;\nlet outCanvas = null;\n// instance of fximage\nlet fx = null;\n\n// process input image and return tensor\n// input can be tensor, imagedata, htmlimageelement, htmlvideoelement\n// input is resized and run through imagefx filter\nexport function process(input, config) {\n let tensor;\n if (input instanceof tf.Tensor) {\n tensor = tf.clone(input);\n } else {\n const originalWidth = input.naturalWidth || input.videoWidth || input.width || (input.shape && (input.shape[1] > 0));\n const originalHeight = input.naturalHeight || input.videoHeight || input.height || (input.shape && (input.shape[2] > 0));\n let targetWidth = originalWidth;\n let targetHeight = originalHeight;\n if (config.filter.width > 0) targetWidth = config.filter.width;\n else if (config.filter.height > 0) targetWidth = originalWidth * (config.filter.height / originalHeight);\n if (config.filter.height > 0) targetHeight = config.filter.height;\n else if (config.filter.width > 0) targetHeight = originalHeight * (config.filter.width / originalWidth);\n if (!targetWidth || !targetHeight) {\n log('Human: invalid input', input);\n return null;\n }\n if (!inCanvas || (inCanvas.width !== targetWidth) || (inCanvas.height !== targetHeight)) {\n inCanvas = (typeof OffscreenCanvas !== 'undefined') ? new OffscreenCanvas(targetWidth, targetHeight) : document.createElement('canvas');\n if (inCanvas.width !== targetWidth) inCanvas.width = targetWidth;\n if (inCanvas.height !== targetHeight) inCanvas.height = targetHeight;\n }\n const ctx = inCanvas.getContext('2d');\n if (input instanceof ImageData) ctx.putImageData(input, 0, 0);\n else ctx.drawImage(input, 0, 0, originalWidth, originalHeight, 0, 0, inCanvas.width, inCanvas.height);\n if (config.filter.enabled) {\n if (!fx || !outCanvas || (inCanvas.width !== outCanvas.width) || (inCanvas.height !== outCanvas.height)) {\n outCanvas = (typeof OffscreenCanvas !== 'undefined') ? new OffscreenCanvas(inCanvas.width, inCanvas.height) : document.createElement('canvas');\n if (outCanvas.width !== inCanvas.width) outCanvas.width = inCanvas.width;\n if (outCanvas.height !== inCanvas.height) outCanvas.height = inCanvas.height;\n log('created FX filter');\n fx = tf.ENV.flags.IS_BROWSER ? new fxImage.GLImageFilter({ canvas: outCanvas }) : null; // && (typeof document !== 'undefined')\n }\n if (!fx) return inCanvas;\n fx.reset();\n fx.addFilter('brightness', config.filter.brightness); // must have at least one filter enabled\n if (config.filter.contrast !== 0) fx.addFilter('contrast', config.filter.contrast);\n if (config.filter.sharpness !== 0) fx.addFilter('sharpen', config.filter.sharpness);\n if (config.filter.blur !== 0) fx.addFilter('blur', config.filter.blur);\n if (config.filter.saturation !== 0) fx.addFilter('saturation', config.filter.saturation);\n if (config.filter.hue !== 0) fx.addFilter('hue', config.filter.hue);\n if (config.filter.negative) fx.addFilter('negative');\n if (config.filter.sepia) fx.addFilter('sepia');\n if (config.filter.vintage) fx.addFilter('brownie');\n if (config.filter.sepia) fx.addFilter('sepia');\n if (config.filter.kodachrome) fx.addFilter('kodachrome');\n if (config.filter.technicolor) fx.addFilter('technicolor');\n if (config.filter.polaroid) fx.addFilter('polaroid');\n if (config.filter.pixelate !== 0) fx.addFilter('pixelate', config.filter.pixelate);\n fx.apply(inCanvas);\n // read pixel data\n /*\n const gl = outCanvas.getContext('webgl');\n if (gl) {\n const glBuffer = new Uint8Array(outCanvas.width * outCanvas.height * 4);\n const pixBuffer = new Uint8Array(outCanvas.width * outCanvas.height * 3);\n gl.readPixels(0, 0, outCanvas.width, outCanvas.height, gl.RGBA, gl.UNSIGNED_BYTE, glBuffer);\n // gl returns rbga while we only need rgb, so discarding alpha channel\n // gl returns starting point as lower left, so need to invert vertical\n let i = 0;\n for (let y = outCanvas.height - 1; y >= 0; y--) {\n for (let x = 0; x < outCanvas.width; x++) {\n const index = (x + y * outCanvas.width) * 4;\n pixBuffer[i++] = glBuffer[index + 0];\n pixBuffer[i++] = glBuffer[index + 1];\n pixBuffer[i++] = glBuffer[index + 2];\n }\n }\n outCanvas.data = pixBuffer;\n }\n */\n } else {\n outCanvas = inCanvas;\n if (fx) fx = null;\n }\n let pixels;\n if (outCanvas.data) {\n const shape = [outCanvas.height, outCanvas.width, 3];\n pixels = tf.tensor3d(outCanvas.data, shape, 'int32');\n } else if ((config.backend === 'webgl') || (outCanvas instanceof ImageData)) {\n // tf kernel-optimized method to get imagedata, also if input is imagedata, just use it\n pixels = tf.browser.fromPixels(outCanvas);\n } else {\n // cpu and wasm kernel does not implement efficient fromPixels method nor we can use canvas as-is, so we do a silly one more canvas\n const tempCanvas = (typeof OffscreenCanvas !== 'undefined') ? new OffscreenCanvas(targetWidth, targetHeight) : document.createElement('canvas');\n tempCanvas.width = targetWidth;\n tempCanvas.height = targetHeight;\n const tempCtx = tempCanvas.getContext('2d');\n tempCtx?.drawImage(outCanvas, 0, 0);\n const data = tempCtx?.getImageData(0, 0, targetWidth, targetHeight);\n pixels = tf.browser.fromPixels(data);\n }\n const casted = pixels.toFloat();\n tensor = casted.expandDims(0);\n pixels.dispose();\n casted.dispose();\n }\n return { tensor, canvas: config.filter.return ? outCanvas : null };\n}\n", "/* eslint-disable indent */\n/* eslint-disable no-multi-spaces */\n\nexport default {\n backend: 'webgl', // select tfjs backend to use\n wasmPath: '../assets/', // path for wasm binaries\n // only used for backend: wasm\n async: true, // execute enabled models in parallel\n // this disables per-model performance data but\n // slightly increases performance\n // cannot be used if profiling is enabled\n profile: false, // enable tfjs profiling\n // this has significant performance impact\n // only enable for debugging purposes\n // currently only implemented for age,gender,emotion models\n deallocate: false, // aggresively deallocate gpu memory after each usage\n // only valid for webgl backend and only during first call\n // cannot be changed unless library is reloaded\n // this has significant performance impact\n // only enable on low-memory devices\n scoped: false, // enable scoped runs\n // some models *may* have memory leaks,\n // this wrapps everything in a local scope at a cost of performance\n // typically not needed\n videoOptimized: true, // perform additional optimizations when input is video,\n // must be disabled for images\n // basically this skips object box boundary detection for every n frames\n // while maintaining in-box detection since objects cannot move that fast\n warmup: 'face', // what to use for human.warmup(), can be 'none', 'face', 'full'\n // warmup pre-initializes all models for faster inference but can take\n // significant time on startup\n filter: {\n enabled: true, // enable image pre-processing filters\n width: 0, // resize input width\n height: 0, // resize input height\n // if both width and height are set to 0, there is no resizing\n // if just one is set, second one is scaled automatically\n // if both are set, values are used as-is\n return: true, // return processed canvas imagedata in result\n brightness: 0, // range: -1 (darken) to 1 (lighten)\n contrast: 0, // range: -1 (reduce contrast) to 1 (increase contrast)\n sharpness: 0, // range: 0 (no sharpening) to 1 (maximum sharpening)\n blur: 0, // range: 0 (no blur) to N (blur radius in pixels)\n saturation: 0, // range: -1 (reduce saturation) to 1 (increase saturation)\n hue: 0, // range: 0 (no change) to 360 (hue rotation in degrees)\n negative: false, // image negative\n sepia: false, // image sepia colors\n vintage: false, // image vintage colors\n kodachrome: false, // image kodachrome colors\n technicolor: false, // image technicolor colors\n polaroid: false, // image polaroid camera effect\n pixelate: 0, // range: 0 (no pixelate) to N (number of pixels to pixelate)\n },\n\n gesture: {\n enabled: true, // enable simple gesture recognition\n },\n\n face: {\n enabled: true, // controls if specified modul is enabled\n // face.enabled is required for all face models:\n // detector, mesh, iris, age, gender, emotion\n // (note: module is not loaded until it is required)\n detector: {\n modelPath: '../models/blazeface-back.json', // can be 'blazeface-front', 'blazeface-front' or 'faceboxes'\n // 'blazeface-front' is blazeface model optimized for large faces such as front-facing camera\n // 'blazeface-back' is blazeface model optimized for smaller and/or distanct faces\n // 'faceboxes' is alternative model to 'blazeface\n inputSize: 256, // fixed value: 128 for front and 256 for 'back'\n rotation: false, // use best-guess rotated face image or just box with rotation as-is\n // false means higher performance, but incorrect mesh mapping if face angle is above 20 degrees\n maxFaces: 10, // maximum number of faces detected in the input\n // should be set to the minimum number for performance\n skipFrames: 11, // how many frames to go without re-running the face bounding box detector\n // only used for video inputs\n // e.g., if model is running st 25 FPS, we can re-use existing bounding\n // box for updated face analysis as the head probably hasn't moved much\n // in short time (10 * 1/25 = 0.25 sec)\n minConfidence: 0.5, // threshold for discarding a prediction\n iouThreshold: 0.2, // threshold for deciding whether boxes overlap too much in\n // non-maximum suppression (0.1 means drop if overlap 10%)\n scoreThreshold: 0.5, // threshold for deciding when to remove boxes based on score\n // in non-maximum suppression,\n // this is applied on detection objects only and before minConfidence\n },\n\n mesh: {\n enabled: true,\n modelPath: '../models/facemesh.json',\n inputSize: 192, // fixed value\n returnRawData: false, // in addition to standard mesh and box values, return raw normalized values as well\n },\n\n iris: {\n enabled: true,\n modelPath: '../models/iris.json',\n inputSize: 64, // fixed value\n },\n\n age: {\n enabled: true,\n modelPath: '../models/age-ssrnet-imdb.json', // can be 'age-ssrnet-imdb' or 'age-ssrnet-wiki'\n // which determines training set for model\n inputSize: 64, // fixed value\n skipFrames: 31, // how many frames to go without re-running the detector\n // only used for video inputs\n },\n\n gender: {\n enabled: true,\n minConfidence: 0.1, // threshold for discarding a prediction\n modelPath: '../models/gender-ssrnet-imdb.json', // can be 'gender', 'gender-ssrnet-imdb' or 'gender-ssrnet-wiki'\n inputSize: 64, // fixed value\n skipFrames: 41, // how many frames to go without re-running the detector\n // only used for video inputs\n },\n\n emotion: {\n enabled: true,\n inputSize: 64, // fixed value\n minConfidence: 0.2, // threshold for discarding a prediction\n skipFrames: 21, // how many frames to go without re-running the detector\n modelPath: '../models/emotion-large.json', // can be 'mini', 'large'\n },\n\n embedding: {\n enabled: false,\n inputSize: 112, // fixed value\n modelPath: '../models/mobilefacenet.json',\n },\n },\n\n body: {\n enabled: true,\n modelPath: '../models/posenet.json',\n inputSize: 257, // fixed value\n maxDetections: 10, // maximum number of people detected in the input\n // should be set to the minimum number for performance\n scoreThreshold: 0.5, // threshold for deciding when to remove boxes based on score\n // in non-maximum suppression\n nmsRadius: 20, // radius for deciding points are too close in non-maximum suppression\n outputStride: 16, // size of block in which to run point detectopn, smaller value means higher resolution\n // defined by model itself, can be 8, 16, or 32\n modelType: 'MobileNet', // Human includes MobileNet version, but you can switch to ResNet\n },\n\n hand: {\n enabled: true,\n rotation: false, // use best-guess rotated hand image or just box with rotation as-is\n // false means higher performance, but incorrect finger mapping if hand is inverted\n inputSize: 256, // fixed value\n skipFrames: 12, // how many frames to go without re-running the hand bounding box detector\n // only used for video inputs\n // e.g., if model is running st 25 FPS, we can re-use existing bounding\n // box for updated hand skeleton analysis as the hand probably\n // hasn't moved much in short time (10 * 1/25 = 0.25 sec)\n minConfidence: 0.1, // threshold for discarding a prediction\n iouThreshold: 0.1, // threshold for deciding whether boxes overlap too much\n // in non-maximum suppression\n scoreThreshold: 0.5, // threshold for deciding when to remove boxes based on\n // score in non-maximum suppression\n maxHands: 1, // maximum number of hands detected in the input\n // should be set to the minimum number for performance\n landmarks: true, // detect hand landmarks or just hand boundary box\n detector: {\n modelPath: '../models/handdetect.json',\n },\n skeleton: {\n modelPath: '../models/handskeleton.json',\n },\n },\n};\n", "// data:image/jpeg;base64,\nexport const face = 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"async function drawGesture(result, canvas, ui) {\n if (!result) return;\n const ctx = canvas.getContext('2d');\n ctx.font = ui.baseFont;\n ctx.fillStyle = ui.baseLabel;\n let i = 1;\n for (let gesture = 0; gesture < result.length; gesture++) {\n const [where, what] = Object.entries(result[gesture]);\n if ((what.length > 1) && (what[1].length > 0)) {\n const person = where[1] > 0 ? `#${where[1]}` : '';\n const label = `${where[0]} ${person}: ${what[1]}`;\n ctx.fillStyle = 'black';\n ctx.fillText(label, 8, 2 + (i * ui.baseLineHeight));\n ctx.fillStyle = ui.baseLabel;\n ctx.fillText(label, 6, 0 + (i * ui.baseLineHeight));\n i += 1;\n }\n }\n}\n\nasync function drawFace(result, canvas, ui, triangulation) {\n if (!result) return;\n const ctx = canvas.getContext('2d');\n for (const face of result) {\n ctx.font = ui.baseFont;\n ctx.strokeStyle = ui.baseColor;\n ctx.fillStyle = ui.baseColor;\n ctx.lineWidth = ui.baseLineWidth;\n ctx.beginPath();\n if (ui.drawBoxes) {\n ctx.rect(face.box[0], face.box[1], face.box[2], face.box[3]);\n }\n // silly hack since fillText does not suport new line\n const labels = [];\n // labels.push(`${Math.trunc(100 * face.confidence)}% face`);\n if (face.genderConfidence) labels.push(`${face.gender || ''} ${Math.trunc(100 * face.genderConfidence)}% confident`);\n // if (face.genderConfidence) labels.push(face.gender);\n if (face.age) labels.push(`age: ${face.age || ''}`);\n if (face.iris) labels.push(`iris distance: ${face.iris}`);\n if (face.emotion && face.emotion.length > 0) {\n const emotion = face.emotion.map((a) => `${Math.trunc(100 * a.score)}% ${a.emotion}`);\n labels.push(emotion.join(' '));\n }\n if (labels.length === 0) labels.push('face');\n ctx.fillStyle = ui.baseLabel;\n for (let i = 0; i < labels.length; i++) {\n ctx.fillStyle = 'black';\n ctx.fillText(labels[i], face.box[0] + 1, face.box[1] - ((labels.length - i) * ui.baseLineHeight) + 6);\n ctx.fillStyle = ui.baseLabel;\n ctx.fillText(labels[i], face.box[0] + 0, face.box[1] - ((labels.length - i) * ui.baseLineHeight) + 5);\n }\n ctx.fillStyle = ui.baseColor;\n ctx.stroke();\n ctx.lineWidth = 1;\n if (face.mesh) {\n if (ui.drawPoints) {\n for (const point of face.mesh) {\n ctx.fillStyle = ui.useDepth ? `rgba(${127.5 + (2 * point[2])}, ${127.5 - (2 * point[2])}, 255, 0.5)` : ui.baseColor;\n ctx.beginPath();\n ctx.arc(point[0], point[1], 2, 0, 2 * Math.PI);\n ctx.fill();\n }\n }\n if (ui.drawPolygons) {\n for (let i = 0; i < triangulation.length / 3; i++) {\n const points = [\n triangulation[i * 3 + 0],\n triangulation[i * 3 + 1],\n triangulation[i * 3 + 2],\n ].map((index) => face.mesh[index]);\n const path = new Path2D();\n path.moveTo(points[0][0], points[0][1]);\n for (const point of points) {\n path.lineTo(point[0], point[1]);\n }\n path.closePath();\n ctx.strokeStyle = ui.useDepth ? `rgba(${127.5 + (2 * points[0][2])}, ${127.5 - (2 * points[0][2])}, 255, 0.3)` : ui.baseColor;\n ctx.stroke(path);\n if (ui.fillPolygons) {\n ctx.fillStyle = ui.useDepth ? `rgba(${127.5 + (2 * points[0][2])}, ${127.5 - (2 * points[0][2])}, 255, 0.3)` : ui.baseColor;\n ctx.fill(path);\n }\n }\n // iris: array[center, left, top, right, bottom]\n if (face.annotations && face.annotations.leftEyeIris) {\n ctx.strokeStyle = ui.useDepth ? 'rgba(255, 200, 255, 0.3)' : ui.baseColor;\n ctx.beginPath();\n const sizeX = Math.abs(face.annotations.leftEyeIris[3][0] - face.annotations.leftEyeIris[1][0]) / 2;\n const sizeY = Math.abs(face.annotations.leftEyeIris[4][1] - face.annotations.leftEyeIris[2][1]) / 2;\n ctx.ellipse(face.annotations.leftEyeIris[0][0], face.annotations.leftEyeIris[0][1], sizeX, sizeY, 0, 0, 2 * Math.PI);\n ctx.stroke();\n if (ui.fillPolygons) {\n ctx.fillStyle = ui.useDepth ? 'rgba(255, 255, 200, 0.3)' : ui.baseColor;\n ctx.fill();\n }\n }\n if (face.annotations && face.annotations.rightEyeIris) {\n ctx.strokeStyle = ui.useDepth ? 'rgba(255, 200, 255, 0.3)' : ui.baseColor;\n ctx.beginPath();\n const sizeX = Math.abs(face.annotations.rightEyeIris[3][0] - face.annotations.rightEyeIris[1][0]) / 2;\n const sizeY = Math.abs(face.annotations.rightEyeIris[4][1] - face.annotations.rightEyeIris[2][1]) / 2;\n ctx.ellipse(face.annotations.rightEyeIris[0][0], face.annotations.rightEyeIris[0][1], sizeX, sizeY, 0, 0, 2 * Math.PI);\n ctx.stroke();\n if (ui.fillPolygons) {\n ctx.fillStyle = ui.useDepth ? 'rgba(255, 255, 200, 0.3)' : ui.baseColor;\n ctx.fill();\n }\n }\n }\n }\n }\n}\n\nconst lastDrawnPose = [];\nasync function drawBody(result, canvas, ui) {\n if (!result) return;\n const ctx = canvas.getContext('2d');\n ctx.lineJoin = 'round';\n for (let i = 0; i < result.length; i++) {\n if (!lastDrawnPose[i] && ui.buffered) lastDrawnPose[i] = { ...result[i] };\n ctx.fillStyle = ui.baseColor;\n ctx.strokeStyle = ui.baseColor;\n ctx.font = ui.baseFont;\n ctx.lineWidth = ui.baseLineWidth;\n if (ui.drawPoints) {\n for (let pt = 0; pt < result[i].keypoints.length; pt++) {\n ctx.beginPath();\n if (ui.buffered) {\n lastDrawnPose[i].keypoints[pt].position.x = (lastDrawnPose[i].keypoints[pt].position.x + result[i].keypoints[pt].position.x) / 2;\n lastDrawnPose[i].keypoints[pt].position.y = (lastDrawnPose[i].keypoints[pt].position.y + result[i].keypoints[pt].position.y) / 2;\n ctx.arc(lastDrawnPose[i].keypoints[pt].position.x, lastDrawnPose[i].keypoints[pt].position.y, 2, 0, 2 * Math.PI);\n } else {\n ctx.arc(result[i].keypoints[pt].position.x, result[i].keypoints[pt].position.y, 2, 0, 2 * Math.PI);\n }\n ctx.fill();\n }\n }\n if (ui.drawPolygons) {\n const path = new Path2D();\n let root;\n let part;\n // torso\n root = result[i].keypoints.find((a) => a.part === 'leftShoulder');\n if (root) {\n path.moveTo(root.position.x, root.position.y);\n part = result[i].keypoints.find((a) => a.part === 'rightShoulder');\n if (part) path.lineTo(part.position.x, part.position.y);\n part = result[i].keypoints.find((a) => a.part === 'rightHip');\n if (part) path.lineTo(part.position.x, part.position.y);\n part = result[i].keypoints.find((a) => a.part === 'leftHip');\n if (part) path.lineTo(part.position.x, part.position.y);\n part = result[i].keypoints.find((a) => a.part === 'leftShoulder');\n if (part) path.lineTo(part.position.x, part.position.y);\n }\n // leg left\n root = result[i].keypoints.find((a) => a.part === 'leftHip');\n if (root) {\n path.moveTo(root.position.x, root.position.y);\n part = result[i].keypoints.find((a) => a.part === 'leftKnee');\n if (part) path.lineTo(part.position.x, part.position.y);\n part = result[i].keypoints.find((a) => a.part === 'leftAnkle');\n if (part) path.lineTo(part.position.x, part.position.y);\n }\n // leg right\n root = result[i].keypoints.find((a) => a.part === 'rightHip');\n if (root) {\n path.moveTo(root.position.x, root.position.y);\n part = result[i].keypoints.find((a) => a.part === 'rightKnee');\n if (part) path.lineTo(part.position.x, part.position.y);\n part = result[i].keypoints.find((a) => a.part === 'rightAnkle');\n if (part) path.lineTo(part.position.x, part.position.y);\n }\n // arm left\n root = result[i].keypoints.find((a) => a.part === 'leftShoulder');\n if (root) {\n path.moveTo(root.position.x, root.position.y);\n part = result[i].keypoints.find((a) => a.part === 'leftElbow');\n if (part) path.lineTo(part.position.x, part.position.y);\n part = result[i].keypoints.find((a) => a.part === 'leftWrist');\n if (part) path.lineTo(part.position.x, part.position.y);\n }\n // arm right\n root = result[i].keypoints.find((a) => a.part === 'rightShoulder');\n if (root) {\n path.moveTo(root.position.x, root.position.y);\n part = result[i].keypoints.find((a) => a.part === 'rightElbow');\n if (part) path.lineTo(part.position.x, part.position.y);\n part = result[i].keypoints.find((a) => a.part === 'rightWrist');\n if (part) path.lineTo(part.position.x, part.position.y);\n }\n // draw all\n ctx.stroke(path);\n }\n }\n}\n\nasync function drawHand(result, canvas, ui) {\n if (!result) return;\n const ctx = canvas.getContext('2d');\n ctx.lineJoin = 'round';\n for (const hand of result) {\n ctx.font = ui.baseFont;\n ctx.lineWidth = ui.baseLineWidth;\n if (ui.drawBoxes) {\n ctx.lineWidth = ui.baseLineWidth;\n ctx.beginPath();\n ctx.strokeStyle = ui.baseColor;\n ctx.fillStyle = ui.baseColor;\n ctx.rect(hand.box[0], hand.box[1], hand.box[2], hand.box[3]);\n ctx.fillStyle = 'black';\n ctx.fillText('hand', hand.box[0] + 3, 1 + hand.box[1] + ui.baseLineHeight, hand.box[2]);\n ctx.fillStyle = ui.baseLabel;\n ctx.fillText('hand', hand.box[0] + 2, 0 + hand.box[1] + ui.baseLineHeight, hand.box[2]);\n ctx.stroke();\n }\n if (ui.drawPoints) {\n if (hand.landmarks && hand.landmarks.length > 0) {\n for (const point of hand.landmarks) {\n ctx.fillStyle = ui.useDepth ? `rgba(${127.5 + (2 * point[2])}, ${127.5 - (2 * point[2])}, 255, 0.5)` : ui.baseColor;\n ctx.beginPath();\n ctx.arc(point[0], point[1], 2, 0, 2 * Math.PI);\n ctx.fill();\n }\n }\n }\n if (ui.drawPolygons) {\n const addPart = (part) => {\n if (!part) return;\n for (let i = 0; i < part.length; i++) {\n ctx.lineWidth = ui.baseLineWidth;\n ctx.beginPath();\n ctx.strokeStyle = ui.useDepth ? `rgba(${127.5 + (2 * part[i][2])}, ${127.5 - (2 * part[i][2])}, 255, 0.5)` : ui.baseColor;\n ctx.moveTo(part[i > 0 ? i - 1 : 0][0], part[i > 0 ? i - 1 : 0][1]);\n ctx.lineTo(part[i][0], part[i][1]);\n ctx.stroke();\n }\n };\n addPart(hand.annotations.indexFinger);\n addPart(hand.annotations.middleFinger);\n addPart(hand.annotations.ringFinger);\n addPart(hand.annotations.pinky);\n addPart(hand.annotations.thumb);\n // addPart(hand.annotations.palmBase);\n }\n }\n}\n\n// eslint-disable-next-line import/prefer-default-export\nexport default {\n face: drawFace,\n body: drawBody,\n hand: drawHand,\n gesture: drawGesture,\n};\n", "let instance = 0;\nlet CSScreated = false;\n\nlet theme = {\n background: 'darkslategray',\n hover: 'lightgray',\n itemBackground: 'black',\n itemColor: 'white',\n buttonBackground: 'lightblue',\n buttonHover: 'lightgreen',\n checkboxOn: 'lightgreen',\n checkboxOff: 'lightcoral',\n rangeBackground: 'lightblue',\n rangeLabel: 'white',\n chartColor: 'lightblue',\n};\n\nfunction createCSS() {\n if (CSScreated) return;\n const css = `\n :root { --rounded: 0.2rem; }\n .menu { position: absolute; top: 0rem; right: 0; width: max-content; padding: 0 0.2rem 0 0.2rem; line-height: 1.8rem; z-index: 10;\n box-shadow: 0 0 8px dimgrey; background: ${theme.background}; border-radius: var(--rounded); border-color: black; border-style: solid; border-width: thin; }\n\n .menu:hover { box-shadow: 0 0 8px ${theme.hover}; }\n .menu-container { display: block; max-height: 100vh; }\n .menu-container-fadeout { max-height: 0; overflow: hidden; transition: max-height, 0.5s ease; }\n .menu-container-fadein { max-height: 100vh; overflow: hidden; transition: max-height, 0.5s ease; }\n .menu-item { display: flex; white-space: nowrap; padding: 0.2rem; cursor: default; width: 100%; }\n .menu-title { cursor: pointer; }\n .menu-hr { margin: 0.2rem; border: 1px solid rgba(0, 0, 0, 0.5) }\n .menu-label { padding: 0; font-weight: 800; }\n\n .menu-list { margin-right: 0.8rem; }\n select:focus { outline: none; }\n .menu-list-item { background: ${theme.itemBackground}; color: ${theme.itemColor}; border: none; padding: 0.2rem; font-family: inherit;\n font-variant: inherit; border-radius: var(--rounded); font-weight: 800; }\n\n .menu-chart-title { padding: 0; font-size: 0.8rem; font-weight: 800; align-items: center}\n .menu-chart-canvas { background: transparent; margin: 0.2rem 0 0.2rem 0.6rem; }\n \n .menu-button { border: 0; background: ${theme.buttonBackground}; width: -webkit-fill-available; padding: 8px; margin: 8px; cursor: pointer; box-shadow: 4px 4px 4px 0 dimgrey;\n border-radius: var(--rounded); justify-content: center; font-family: inherit; font-variant: inherit; font-size: 1rem; font-weight: 800; }\n .menu-button:hover { background: ${theme.buttonHover}; box-shadow: 4px 4px 4px 0 black; }\n .menu-button:focus { outline: none; }\n\n .menu-checkbox { width: 2.8rem; height: 1rem; background: ${theme.itemBackground}; margin: 0.5rem 0.5rem 0 0; position: relative; border-radius: var(--rounded); }\n .menu-checkbox:after { content: 'OFF'; color: ${theme.checkboxOff}; position: absolute; right: 0.2rem; top: -0.4rem; font-weight: 800; font-size: 0.5rem; }\n .menu-checkbox:before { content: 'ON'; color: ${theme.checkboxOn}; position: absolute; left: 0.3rem; top: -0.4rem; font-weight: 800; font-size: 0.5rem; }\n .menu-checkbox-label { width: 1.3rem; height: 0.8rem; cursor: pointer; position: absolute; top: 0.1rem; left: 0.1rem; z-index: 1; background: ${theme.checkboxOff};\n border-radius: var(--rounded); transition: left 0.6s ease; }\n\n input[type=checkbox] { visibility: hidden; }\n input[type=checkbox]:checked + label { left: 1.4rem; background: ${theme.checkboxOn}; }\n\n .menu-range { margin: 0.2rem 0.5rem 0 0; width: 3.5rem; background: transparent; color: ${theme.rangeBackground}; }\n .menu-range:before { color: ${theme.rangeLabel}; margin: 0 0.4rem 0 0; font-weight: 800; font-size: 0.6rem; position: relative; top: 0.3rem; content: attr(value); }\n\n input[type=range] { -webkit-appearance: none; }\n input[type=range]::-webkit-slider-runnable-track { width: 100%; height: 1rem; cursor: pointer; background: ${theme.itemBackground}; border-radius: var(--rounded); border: 1px; }\n input[type=range]::-moz-range-track { width: 100%; height: 1rem; cursor: pointer; background: ${theme.itemBackground}; border-radius: var(--rounded); border: 1px; }\n input[type=range]::-webkit-slider-thumb { border: 1px solid #000000; margin-top: 0.05rem; height: 0.9rem; width: 1rem; border-radius: var(--rounded); background: ${theme.rangeBackground}; cursor: pointer; -webkit-appearance: none; }\n input[type=range]::-moz-range-thumb { border: 1px solid #000000; margin-top: 0.05rem; height: 0.9rem; width: 1rem; border-radius: var(--rounded); background: ${theme.rangeBackground}; cursor: pointer; -webkit-appearance: none; }\n\n .svg-background { fill:darkslategrey; cursor:pointer; opacity: 0.6; }\n .svg-foreground { fill:white; cursor:pointer; opacity: 0.8; }\n `;\n const el = document.createElement('style');\n el.innerHTML = css;\n document.getElementsByTagName('head')[0].appendChild(el);\n CSScreated = true;\n}\n\nclass Menu {\n constructor(parent, title, position, userTheme) {\n if (userTheme) theme = { ...theme, ...userTheme };\n createCSS();\n this.createMenu(parent, title, position);\n this.id = 0;\n this.instance = instance;\n instance++;\n this._maxFPS = 0;\n this.hidden = 0;\n }\n\n createMenu(parent, title = '', position = { top: null, left: null, bottom: null, right: null }) {\n this.menu = document.createElement('div');\n this.menu.id = `menu-${instance}`;\n this.menu.className = 'menu';\n if (position) {\n if (position.top) this.menu.style.top = position.top;\n if (position.bottom) this.menu.style.bottom = position.bottom;\n if (position.left) this.menu.style.left = position.left;\n if (position.right) this.menu.style.right = position.right;\n }\n\n this.container = document.createElement('div');\n this.container.id = `menu-container-${instance}`;\n this.container.className = 'menu-container menu-container-fadein';\n\n // set menu title with pulldown arrow\n const elTitle = document.createElement('div');\n elTitle.className = 'menu-title';\n elTitle.id = `menu-title-${instance}`;\n const svg = `\n \n \n `;\n if (title) elTitle.innerHTML = `${title}${svg}`;\n this.menu.appendChild(elTitle);\n elTitle.addEventListener('click', () => {\n this.container.classList.toggle('menu-container-fadeout');\n this.container.classList.toggle('menu-container-fadein');\n this.menu.style.borderStyle = this.container.classList.contains('menu-container-fadeout') ? 'none' : 'solid';\n });\n\n this.menu.appendChild(this.container);\n if (typeof parent === 'object') parent.appendChild(this.menu);\n else document.getElementById(parent).appendChild(this.menu);\n }\n\n get newID() {\n this.id++;\n return `menu-${this.instance}-${this.id}`;\n }\n\n get ID() {\n return `menu-${this.instance}-${this.id}`;\n }\n\n get width() {\n return this.menu.offsetWidth;\n }\n\n get height() {\n return this.menu.offsetHeight;\n }\n\n hide() {\n if (this.container.classList.contains('menu-container-fadein')) {\n this.container.classList.toggle('menu-container-fadeout');\n this.container.classList.toggle('menu-container-fadein');\n }\n }\n\n visible() {\n return (this.container.classList.contains('menu-container-fadein'));\n }\n\n toggle(evt) {\n this.container.classList.toggle('menu-container-fadeout');\n this.container.classList.toggle('menu-container-fadein');\n if (this.container.classList.contains('menu-container-fadein') && evt) {\n const x = evt.x || (evt.touches && evt.touches[0] ? evt.touches[0].pageX : null);\n // const y = evt.y || (evt.touches && evt.touches[0] ? evt.touches[0].pageY : null);\n if (x) this.menu.style.left = `${x - (this.menu.offsetWidth / 2)}px`;\n // if (y) this.menu.style.top = '5.5rem'; // `${evt.y + 55}px`;\n if (this.menu.offsetLeft < 0) this.menu.style.left = 0;\n if ((this.menu.offsetLeft + this.menu.offsetWidth) > window.innerWidth) {\n this.menu.style.left = null;\n this.menu.style.right = 0;\n }\n this.menu.style.borderStyle = 'solid';\n } else {\n this.menu.style.borderStyle = 'none';\n }\n }\n\n addTitle(title) {\n const el = document.createElement('div');\n el.className = 'menu-title';\n el.id = this.newID;\n el.innerHTML = title;\n this.menu.appendChild(el);\n el.addEventListener('click', () => {\n this.hidden = !this.hidden;\n const all = document.getElementsByClassName('menu');\n for (const item of all) {\n item.style.display = this.hidden ? 'none' : 'block';\n }\n });\n return el;\n }\n\n addLabel(title) {\n const el = document.createElement('div');\n el.className = 'menu-item menu-label';\n el.id = this.newID;\n el.innerHTML = title;\n this.container.appendChild(el);\n return el;\n }\n\n addBool(title, object, variable, callback) {\n const el = document.createElement('div');\n el.className = 'menu-item';\n el.innerHTML = `
${title}`;\n this.container.appendChild(el);\n el.addEventListener('change', (evt) => {\n object[variable] = evt.target.checked;\n if (callback) callback(evt.target.checked);\n });\n return el;\n }\n\n async addList(title, items, selected, callback) {\n const el = document.createElement('div');\n el.className = 'menu-item';\n let options = '';\n for (const item of items) {\n const def = item === selected ? 'selected' : '';\n options += ``;\n }\n el.innerHTML = `
${title}`;\n el.style.fontFamily = document.body.style.fontFamily;\n el.style.fontSize = document.body.style.fontSize;\n el.style.fontVariant = document.body.style.fontVariant;\n this.container.appendChild(el);\n el.addEventListener('change', (evt) => {\n if (callback) callback(items[evt.target.selectedIndex]);\n });\n return el;\n }\n\n addRange(title, object, variable, min, max, step, callback) {\n const el = document.createElement('div');\n el.className = 'menu-item';\n el.innerHTML = `${title}`;\n this.container.appendChild(el);\n el.addEventListener('change', (evt) => {\n object[variable] = parseInt(evt.target.value) === parseFloat(evt.target.value) ? parseInt(evt.target.value) : parseFloat(evt.target.value);\n evt.target.setAttribute('value', evt.target.value);\n if (callback) callback(evt.target.value);\n });\n el.input = el.children[0];\n return el;\n }\n\n addHTML(html) {\n const el = document.createElement('div');\n el.className = 'menu-item';\n el.id = this.newID;\n if (html) el.innerHTML = html;\n this.container.appendChild(el);\n return el;\n }\n\n addButton(titleOn, titleOff, callback) {\n const el = document.createElement('button');\n el.className = 'menu-item menu-button';\n el.style.fontFamily = document.body.style.fontFamily;\n el.style.fontSize = document.body.style.fontSize;\n el.style.fontVariant = document.body.style.fontVariant;\n el.type = 'button';\n el.id = this.newID;\n el.innerText = titleOn;\n this.container.appendChild(el);\n el.addEventListener('click', () => {\n if (el.innerText === titleOn) el.innerText = titleOff;\n else el.innerText = titleOn;\n if (callback) callback(el.innerText !== titleOn);\n });\n return el;\n }\n\n addValue(title, val, suffix = '') {\n const el = document.createElement('div');\n el.className = 'menu-item';\n el.id = `menu-val-${title}`;\n el.innerText = `${title}: ${val}${suffix}`;\n this.container.appendChild(el);\n return el;\n }\n\n // eslint-disable-next-line class-methods-use-this\n updateValue(title, val, suffix = '') {\n const el = document.getElementById(`menu-val-${title}`);\n if (el) el.innerText = `${title}: ${val}${suffix}`;\n else this.addValue(title, val);\n }\n\n addChart(title, id, width = 150, height = 40, color) {\n if (color) theme.chartColor = color;\n const el = document.createElement('div');\n el.className = 'menu-item menu-chart-title';\n el.id = this.newID;\n el.innerHTML = `${title}`;\n this.container.appendChild(el);\n return el;\n }\n\n // eslint-disable-next-line class-methods-use-this\n async updateChart(id, values) {\n if (!values || (values.length === 0)) return;\n const canvas = document.getElementById(`menu-canvas-${id}`);\n if (!canvas) return;\n const ctx = canvas.getContext('2d');\n ctx.fillStyle = theme.background;\n ctx.fillRect(0, 0, canvas.width, canvas.height);\n const width = canvas.width / values.length;\n const max = 1 + Math.max(...values);\n const height = canvas.height / max;\n for (let i = 0; i < values.length; i++) {\n const gradient = ctx.createLinearGradient(0, (max - values[i]) * height, 0, 0);\n gradient.addColorStop(0.1, theme.chartColor);\n gradient.addColorStop(0.4, theme.background);\n ctx.fillStyle = gradient;\n ctx.fillRect(i * width, 0, width - 4, canvas.height);\n ctx.fillStyle = theme.background;\n ctx.font = `${width / 1.5}px \"Segoe UI\"`;\n ctx.fillText(Math.round(values[i]), i * width + 1, canvas.height - 1, width - 1);\n }\n }\n}\n\nexport default Menu;\n", "/* eslint-disable max-len */\n\n// based on: https://github.com/munrocket/gl-bench\n\nconst UICSS = `\n #gl-bench { position: absolute; right: 1rem; bottom: 1rem; z-index:1000; -webkit-user-select: none; -moz-user-select: none; user-select: none; }\n #gl-bench div { position: relative; display: block; margin: 4px; padding: 0 7px 0 10px; background: darkslategray; border-radius: 0.2rem; cursor: pointer; opacity: 0.9; }\n #gl-bench svg { height: 60px; margin: 0 0px 0px 4px; }\n #gl-bench text { font-size: 16px; font-family: 'Lato', 'Segoe UI'; dominant-baseline: middle; text-anchor: middle; }\n #gl-bench .gl-mem { font-size: 12px; fill: white; }\n #gl-bench .gl-fps { font-size: 13px; fill: white; }\n #gl-bench line { stroke-width: 5; stroke: white; stroke-linecap: round; }\n #gl-bench polyline { fill: none; stroke: white; stroke-linecap: round; stroke-linejoin: round; stroke-width: 3.5; }\n #gl-bench rect { fill: black; }\n #gl-bench .opacity { stroke: black; }\n `;\n\nconst UISVG = `\n
\n \n 00 FPS\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n `;\n\nclass GLBench {\n /** GLBench constructor\n * @param { WebGLRenderingContext | WebGL2RenderingContext } gl context\n * @param { Object | undefined } settings additional settings\n */\n constructor(gl, settings = {}) {\n this.css = UICSS;\n this.svg = UISVG;\n // eslint-disable-next-line @typescript-eslint/no-empty-function\n this.paramLogger = () => {};\n // eslint-disable-next-line @typescript-eslint/no-empty-function\n this.chartLogger = () => {};\n this.chartLen = 20;\n this.chartHz = 20;\n\n this.names = [];\n this.cpuAccums = [];\n this.gpuAccums = [];\n this.activeAccums = [];\n this.chart = new Array(this.chartLen);\n this.now = () => ((performance && performance.now) ? performance.now() : Date.now());\n this.updateUI = () => {\n [].forEach.call(this.nodes['gl-gpu-svg'], (node) => node.style.display = this.trackGPU ? 'inline' : 'none');\n };\n\n Object.assign(this, settings);\n this.detected = 0;\n this.finished = [];\n this.isFramebuffer = 0;\n this.frameId = 0;\n\n // 120hz device detection\n let rafId; let n = 0; let\n t0;\n const loop = (t) => {\n if (++n < 20) {\n rafId = requestAnimationFrame(loop);\n } else {\n this.detected = Math.ceil(1e3 * n / (t - t0) / 70);\n cancelAnimationFrame(rafId);\n }\n if (!t0) t0 = t;\n };\n requestAnimationFrame(loop);\n\n // attach gpu profilers\n if (gl) {\n const glFinish = async (t, activeAccums) => Promise.resolve(setTimeout(() => {\n gl.getError();\n const dt = this.now() - t;\n activeAccums.forEach((active, i) => {\n if (active) this.gpuAccums[i] += dt;\n });\n }, 0));\n\n const addProfiler = (fn, self, target) => {\n const t = self.now();\n // eslint-disable-next-line prefer-rest-params\n fn.apply(target, arguments);\n if (self.trackGPU) self.finished.push(glFinish(t, self.activeAccums.slice(0)));\n };\n\n /* ['drawArrays', 'drawElements', 'drawArraysInstanced', 'drawBuffers', 'drawElementsInstanced', 'drawRangeElements'].forEach((fn) => {\n if (gl[fn]) {\n gl[fn] = addProfiler(gl[fn], this, gl);\n }\n });\n */\n const fn = 'drawElements';\n if (gl[fn]) {\n gl[fn] = addProfiler(gl[fn], this, gl);\n } else {\n // eslint-disable-next-line no-console\n console.log('bench: cannot attach to webgl function');\n }\n\n /*\n gl.getExtension = ((fn, self) => {\n // eslint-disable-next-line prefer-rest-params\n const ext = fn.apply(gl, arguments);\n if (ext) {\n ['drawElementsInstancedANGLE', 'drawBuffersWEBGL'].forEach((fn2) => {\n if (ext[fn2]) {\n ext[fn2] = addProfiler(ext[fn2], self, ext);\n }\n });\n }\n return ext;\n })(gl.getExtension, this);\n */\n }\n\n // init ui and ui loggers\n if (!this.withoutUI) {\n if (!this.dom) this.dom = document.body;\n const elm = document.createElement('div');\n elm.id = 'gl-bench';\n this.dom.appendChild(elm);\n this.dom.insertAdjacentHTML('afterbegin', '');\n this.dom = elm;\n this.dom.addEventListener('click', () => {\n this.trackGPU = !this.trackGPU;\n this.updateUI();\n });\n\n this.paramLogger = ((logger, dom, names) => {\n const classes = ['gl-cpu', 'gl-gpu', 'gl-mem', 'gl-fps', 'gl-gpu-svg', 'gl-chart'];\n const nodes = { ...classes };\n classes.forEach((c) => nodes[c] = dom.getElementsByClassName(c));\n this.nodes = nodes;\n return (i, cpu, gpu, mem, fps, totalTime, frameId) => {\n nodes['gl-cpu'][i].style.strokeDasharray = (cpu * 0.27).toFixed(0) + ' 100';\n nodes['gl-gpu'][i].style.strokeDasharray = (gpu * 0.27).toFixed(0) + ' 100';\n // eslint-disable-next-line no-nested-ternary\n nodes['gl-mem'][i].innerHTML = names[i] ? names[i] : (mem ? 'mem: ' + mem.toFixed(0) + 'mb' : '');\n nodes['gl-fps'][i].innerHTML = 'FPS: ' + fps.toFixed(1);\n logger(names[i], cpu, gpu, mem, fps, totalTime, frameId);\n };\n })(this.paramLogger, this.dom, this.names);\n\n this.chartLogger = ((logger, dom) => {\n const nodes = { 'gl-chart': dom.getElementsByClassName('gl-chart') };\n return (i, chart, circularId) => {\n let points = '';\n const len = chart.length;\n for (let j = 0; j < len; j++) {\n const id = (circularId + j + 1) % len;\n if (chart[id] !== undefined) points = points + ' ' + (55 * j / (len - 1)).toFixed(1) + ',' + (45 - chart[id] * 22 / 60 / this.detected).toFixed(1);\n }\n nodes['gl-chart'][i].setAttribute('points', points);\n logger(this.names[i], chart, circularId);\n };\n })(this.chartLogger, this.dom);\n }\n }\n\n /**\n * Explicit UI add\n * @param { string | undefined } name\n */\n addUI(name) {\n if (this.names.indexOf(name) === -1) {\n this.names.push(name);\n if (this.dom) {\n this.dom.insertAdjacentHTML('beforeend', this.svg);\n this.updateUI();\n }\n this.cpuAccums.push(0);\n this.gpuAccums.push(0);\n this.activeAccums.push(false);\n }\n }\n\n /**\n * Increase frameID\n * @param { number | undefined } now\n */\n nextFrame(now) {\n this.frameId++;\n const t = now || this.now();\n\n // params\n if (this.frameId <= 1) {\n this.paramFrame = this.frameId;\n this.paramTime = t;\n } else {\n const duration = t - this.paramTime;\n if (duration >= 1e3) {\n const frameCount = this.frameId - this.paramFrame;\n const fps = frameCount / duration * 1e3;\n for (let i = 0; i < this.names.length; i++) {\n const cpu = this.cpuAccums[i] / duration * 100;\n const gpu = this.gpuAccums[i] / duration * 100;\n const mem = (performance && performance.memory) ? performance.memory.usedJSHeapSize / (1 << 20) : 0;\n this.paramLogger(i, cpu, gpu, mem, fps, duration, frameCount);\n this.cpuAccums[i] = 0;\n Promise.all(this.finished).then(() => {\n this.gpuAccums[i] = 0;\n this.finished = [];\n });\n }\n this.paramFrame = this.frameId;\n this.paramTime = t;\n }\n }\n\n // chart\n if (!this.detected || !this.chartFrame) {\n this.chartFrame = this.frameId;\n this.chartTime = t;\n this.circularId = 0;\n } else {\n const timespan = t - this.chartTime;\n let hz = this.chartHz * timespan / 1e3;\n while (--hz > 0 && this.detected) {\n const frameCount = this.frameId - this.chartFrame;\n const fps = frameCount / timespan * 1e3;\n this.chart[this.circularId % this.chartLen] = fps;\n for (let i = 0; i < this.names.length; i++) this.chartLogger(i, this.chart, this.circularId);\n this.circularId++;\n this.chartFrame = this.frameId;\n this.chartTime = t;\n }\n }\n }\n\n /**\n * Begin named measurement\n * @param { string | undefined } name\n */\n begin(name) {\n this.updateAccums(name);\n }\n\n /**\n * End named measure\n * @param { string | undefined } name\n */\n end(name) {\n this.updateAccums(name);\n }\n\n updateAccums(name) {\n let nameId = this.names.indexOf(name);\n if (nameId === -1) {\n nameId = this.names.length;\n this.addUI(name);\n }\n\n const t = this.now();\n const dt = t - this.t0;\n for (let i = 0; i < nameId + 1; i++) {\n if (this.activeAccums[i]) this.cpuAccums[i] += dt;\n }\n this.activeAccums[nameId] = !this.activeAccums[nameId];\n this.t0 = t;\n }\n}\n\nexport default GLBench;\n", "// eslint-disable-next-line no-unused-vars, @typescript-eslint/no-unused-vars\n// import * as tf from '@tensorflow/tfjs';\n// import Human from '../dist/human.esm-nobundle.js';\n\nimport Human from '../dist/human.esm.js'; // equivalent of @vladmandic/human\n\nimport draw from './draw.js';\nimport Menu from './menu.js';\nimport GLBench from './gl-bench.js';\n\nconst userConfig = {}; // add any user configuration overrides\n\n/*\nconst userConfig = {\n backend: 'wasm',\n async: false,\n videoOptimized: false,\n face: { enabled: true, iris: { enabled: false }, mesh: { enabled: true }, age: { enabled: true }, gender: { enabled: true }, emotion: { enabled: true } },\n body: { enabled: false },\n hand: { enabled: false },\n};\n*/\n\nconst human = new Human(userConfig);\n\n// ui options\nconst ui = {\n baseColor: 'rgba(173, 216, 230, 0.3)', // 'lightblue' with light alpha channel\n baseBackground: 'rgba(50, 50, 50, 1)', // 'grey'\n baseLabel: 'rgba(173, 216, 230, 1)', // 'lightblue' with dark alpha channel\n baseFontProto: 'small-caps {size} \"Segoe UI\"',\n baseLineWidth: 12,\n crop: true,\n columns: 2,\n busy: false,\n facing: true,\n useWorker: false,\n worker: 'worker.js',\n samples: ['../assets/sample6.jpg', '../assets/sample1.jpg', '../assets/sample4.jpg', '../assets/sample5.jpg', '../assets/sample3.jpg', '../assets/sample2.jpg'],\n compare: '../assets/sample-me.jpg',\n drawBoxes: true,\n drawPoints: false,\n drawPolygons: true,\n fillPolygons: false,\n useDepth: true,\n console: true,\n maxFPSframes: 10,\n modelsPreload: true,\n menuWidth: 0,\n menuHeight: 0,\n camera: {},\n detectFPS: [],\n drawFPS: [],\n buffered: false,\n drawThread: null,\n detectThread: null,\n framesDraw: 0,\n framesDetect: 0,\n bench: false,\n};\n\n// global variables\nconst menu = {};\nlet worker;\nlet bench;\nlet lastDetectedResult = {};\n\n// helper function: translates json to human readable string\nfunction str(...msg) {\n if (!Array.isArray(msg)) return msg;\n let line = '';\n for (const entry of msg) {\n if (typeof entry === 'object') line += JSON.stringify(entry).replace(/{|}|\"|\\[|\\]/g, '').replace(/,/g, ', ');\n else line += entry;\n }\n return line;\n}\n\n// helper function: wrapper around console output\nfunction log(...msg) {\n const dt = new Date();\n const ts = `${dt.getHours().toString().padStart(2, '0')}:${dt.getMinutes().toString().padStart(2, '0')}:${dt.getSeconds().toString().padStart(2, '0')}.${dt.getMilliseconds().toString().padStart(3, '0')}`;\n // eslint-disable-next-line no-console\n if (ui.console) console.log(ts, ...msg);\n}\n\nfunction status(msg) {\n // eslint-disable-next-line no-console\n document.getElementById('status').innerText = msg;\n}\n\nlet original;\nasync function calcSimmilariry(result) {\n document.getElementById('compare-container').style.display = human.config.face.embedding.enabled ? 'block' : 'none';\n if (!human.config.face.embedding.enabled) return;\n if ((result?.face?.length > 0) && (result?.face[0].embedding?.length !== 192)) return;\n if (!original) {\n original = result;\n document.getElementById('compare-canvas').getContext('2d').drawImage(original.canvas, 0, 0, 200, 200);\n }\n const simmilarity = human.simmilarity(original?.face[0]?.embedding, result?.face[0]?.embedding);\n document.getElementById('simmilarity').innerText = `simmilarity: ${Math.trunc(1000 * simmilarity) / 10}%`;\n}\n\n// draws processed results and starts processing of a next frame\nlet lastDraw = performance.now();\nasync function drawResults(input) {\n const result = lastDetectedResult;\n const canvas = document.getElementById('canvas');\n\n // update draw fps data\n ui.drawFPS.push(1000 / (performance.now() - lastDraw));\n if (ui.drawFPS.length > ui.maxFPSframes) ui.drawFPS.shift();\n lastDraw = performance.now();\n\n // enable for continous performance monitoring\n // console.log(result.performance);\n\n // draw fps chart\n await menu.process.updateChart('FPS', ui.detectFPS);\n\n // get updated canvas\n if (ui.buffered || !result.canvas) result.canvas = await human.image(input, userConfig);\n\n // draw image from video\n const ctx = canvas.getContext('2d');\n ctx.fillStyle = ui.baseBackground;\n ctx.fillRect(0, 0, canvas.width, canvas.height);\n if (result.canvas) {\n if (result.canvas.width !== canvas.width) canvas.width = result.canvas.width;\n if (result.canvas.height !== canvas.height) canvas.height = result.canvas.height;\n ctx.drawImage(result.canvas, 0, 0, result.canvas.width, result.canvas.height, 0, 0, result.canvas.width, result.canvas.height);\n } else {\n ctx.drawImage(input, 0, 0, input.width, input.height, 0, 0, canvas.width, canvas.height);\n }\n\n // draw all results\n await draw.face(result.face, canvas, ui, human.facemesh.triangulation);\n await draw.body(result.body, canvas, ui);\n await draw.hand(result.hand, canvas, ui);\n await draw.gesture(result.gesture, canvas, ui);\n await calcSimmilariry(result);\n\n // update log\n const engine = human.tf.engine();\n const gpu = engine.backendInstance ? `gpu: ${(engine.backendInstance.numBytesInGPU ? engine.backendInstance.numBytesInGPU : 0).toLocaleString()} bytes` : '';\n const memory = `system: ${engine.state.numBytes.toLocaleString()} bytes ${gpu} | tensors: ${engine.state.numTensors.toLocaleString()}`;\n const processing = result.canvas ? `processing: ${result.canvas.width} x ${result.canvas.height}` : '';\n const avgDetect = Math.trunc(10 * ui.detectFPS.reduce((a, b) => a + b, 0) / ui.detectFPS.length) / 10;\n const avgDraw = Math.trunc(10 * ui.drawFPS.reduce((a, b) => a + b, 0) / ui.drawFPS.length) / 10;\n const warning = (ui.detectFPS.length > 5) && (avgDetect < 5) ? 'warning: your performance is low: try switching to higher performance backend, lowering resolution or disabling some models' : '';\n document.getElementById('log').innerHTML = `\n video: ${ui.camera.name} | facing: ${ui.camera.facing} | screen: ${window.innerWidth} x ${window.innerHeight} camera: ${ui.camera.width} x ${ui.camera.height} ${processing}
\n backend: ${human.tf.getBackend()} | ${memory}
\n performance: ${str(result.performance)}ms FPS process:${avgDetect} refresh:${avgDraw}
\n ${warning}
\n `;\n\n ui.framesDraw++;\n ui.lastFrame = performance.now();\n // if buffered, immediate loop but limit frame rate although it's going to run slower as JS is singlethreaded\n if (ui.buffered) {\n ui.drawThread = requestAnimationFrame(() => drawResults(input, canvas));\n } else if (!ui.buffered && ui.drawThread) {\n log('stopping buffered refresh');\n cancelAnimationFrame(ui.drawThread);\n ui.drawThread = null;\n }\n}\n\n// setup webcam\nasync function setupCamera() {\n if (ui.busy) return null;\n ui.busy = true;\n const video = document.getElementById('video');\n const canvas = document.getElementById('canvas');\n const output = document.getElementById('log');\n const live = video.srcObject ? ((video.srcObject.getVideoTracks()[0].readyState === 'live') && (video.readyState > 2) && (!video.paused)) : false;\n let msg = '';\n status('setting up camera');\n // setup webcam. note that navigator.mediaDevices requires that page is accessed via https\n if (!navigator.mediaDevices) {\n msg = 'camera access not supported';\n output.innerText += `\\n${msg}`;\n log(msg);\n status(msg);\n ui.busy = false;\n return msg;\n }\n let stream;\n const constraints = {\n audio: false,\n video: { facingMode: ui.facing ? 'user' : 'environment', resizeMode: ui.crop ? 'crop-and-scale' : 'none' },\n };\n if (window.innerWidth > window.innerHeight) constraints.video.width = { ideal: window.innerWidth };\n else constraints.video.height = { ideal: (window.innerHeight - document.getElementById('menubar').offsetHeight) };\n try {\n stream = await navigator.mediaDevices.getUserMedia(constraints);\n } catch (err) {\n if (err.name === 'PermissionDeniedError' || err.name === 'NotAllowedError') msg = 'camera permission denied';\n else if (err.name === 'SourceUnavailableError') msg = 'camera not available';\n else msg = `camera error: ${err.message || err}`;\n output.innerText += `\\n${msg}`;\n status(msg);\n log('camera error:', err);\n ui.busy = false;\n return msg;\n }\n if (stream) video.srcObject = stream;\n else {\n ui.busy = false;\n return 'camera stream empty';\n }\n const track = stream.getVideoTracks()[0];\n const settings = track.getSettings();\n // log('camera constraints:', constraints, 'window:', { width: window.innerWidth, height: window.innerHeight }, 'settings:', settings, 'track:', track);\n ui.camera = { name: track.label?.toLowerCase(), width: settings.width, height: settings.height, facing: settings.facingMode === 'user' ? 'front' : 'back' };\n return new Promise((resolve) => {\n video.onloadeddata = async () => {\n video.width = video.videoWidth;\n video.height = video.videoHeight;\n canvas.width = video.width;\n canvas.height = video.height;\n canvas.style.width = canvas.width > canvas.height ? '100vw' : '';\n canvas.style.height = canvas.width > canvas.height ? '' : '100vh';\n ui.menuWidth.input.setAttribute('value', video.width);\n ui.menuHeight.input.setAttribute('value', video.height);\n // silly font resizing for paint-on-canvas since viewport can be zoomed\n const size = Math.trunc(window.devicePixelRatio * (8 + (4 * canvas.width / window.innerWidth)));\n ui.baseFont = ui.baseFontProto.replace(/{size}/, `${size}px`);\n ui.baseLineHeight = size + 2;\n if (live) video.play();\n // eslint-disable-next-line no-use-before-define\n if (live && !ui.detectThread) runHumanDetect(video, canvas);\n ui.busy = false;\n // do once more because onresize events can be delayed or skipped\n // if (video.width > window.innerWidth) await setupCamera();\n status('');\n resolve();\n };\n });\n}\n\nfunction initPerfMonitor() {\n if (!bench) {\n const gl = null;\n // cosnt gl = human.tf.engine().backend.gpgpu.gl;\n // if (!gl) log('bench cannot get tensorflow webgl context');\n bench = new GLBench(gl, {\n trackGPU: false, // this is really slow\n chartHz: 20,\n chartLen: 20,\n });\n bench.begin();\n }\n}\n\n// wrapper for worker.postmessage that creates worker if one does not exist\nfunction webWorker(input, image, canvas, timestamp) {\n if (!worker) {\n // create new webworker and add event handler only once\n log('creating worker thread');\n worker = new Worker(ui.worker, { type: 'module' });\n // after receiving message from webworker, parse&draw results and send new frame for processing\n worker.addEventListener('message', (msg) => {\n if (msg.data.result.performance && msg.data.result.performance.total) ui.detectFPS.push(1000 / msg.data.result.performance.total);\n if (ui.detectFPS.length > ui.maxFPSframes) ui.detectFPS.shift();\n if (ui.bench) {\n if (!bench) initPerfMonitor();\n bench.nextFrame(timestamp);\n }\n if (document.getElementById('gl-bench')) document.getElementById('gl-bench').style.display = ui.bench ? 'block' : 'none';\n lastDetectedResult = msg.data.result;\n ui.framesDetect++;\n if (!ui.drawThread) drawResults(input);\n // eslint-disable-next-line no-use-before-define\n ui.detectThread = requestAnimationFrame((now) => runHumanDetect(input, canvas, now));\n });\n }\n // pass image data as arraybuffer to worker by reference to avoid copy\n worker.postMessage({ image: image.data.buffer, width: canvas.width, height: canvas.height, userConfig }, [image.data.buffer]);\n}\n\n// main processing function when input is webcam, can use direct invocation or web worker\nfunction runHumanDetect(input, canvas, timestamp) {\n // if live video\n const live = input.srcObject && (input.srcObject.getVideoTracks()[0].readyState === 'live') && (input.readyState > 2) && (!input.paused);\n if (!live && input.srcObject) {\n // stop ui refresh\n if (ui.drawThread) cancelAnimationFrame(ui.drawThread);\n if (ui.detectThread) cancelAnimationFrame(ui.detectThread);\n ui.drawThread = null;\n ui.detectThread = null;\n // if we want to continue and camera not ready, retry in 0.5sec, else just give up\n if (input.paused) log('camera paused');\n else if ((input.srcObject.getVideoTracks()[0].readyState === 'live') && (input.readyState <= 2)) setTimeout(() => runHumanDetect(input, canvas), 500);\n else log(`camera not ready: track state: ${input.srcObject?.getVideoTracks()[0].readyState} stream state: ${input.readyState}`);\n clearTimeout(ui.drawThread);\n ui.drawThread = null;\n log('frame statistics: process:', ui.framesDetect, 'refresh:', ui.framesDraw);\n log('memory', human.tf.engine().memory());\n return;\n }\n status('');\n if (ui.useWorker) {\n // get image data from video as we cannot send html objects to webworker\n const offscreen = (typeof OffscreenCanvas !== 'undefined') ? new OffscreenCanvas(canvas.width, canvas.height) : document.createElement('canvas');\n offscreen.width = canvas.width;\n offscreen.height = canvas.height;\n const ctx = offscreen.getContext('2d');\n ctx.drawImage(input, 0, 0, input.width, input.height, 0, 0, canvas.width, canvas.height);\n const data = ctx.getImageData(0, 0, canvas.width, canvas.height);\n // perform detection in worker\n webWorker(input, data, canvas, userConfig, timestamp);\n } else {\n human.detect(input, userConfig).then((result) => {\n if (result.performance && result.performance.total) ui.detectFPS.push(1000 / result.performance.total);\n if (ui.detectFPS.length > ui.maxFPSframes) ui.detectFPS.shift();\n if (ui.bench) {\n if (!bench) initPerfMonitor();\n bench.nextFrame(timestamp);\n }\n if (document.getElementById('gl-bench')) document.getElementById('gl-bench').style.display = ui.bench ? 'block' : 'none';\n if (result.error) {\n log(result.error);\n document.getElementById('log').innerText += `\\nHuman error: ${result.error}`;\n } else {\n lastDetectedResult = result;\n if (!ui.drawThread) drawResults(input);\n ui.framesDetect++;\n ui.detectThread = requestAnimationFrame((now) => runHumanDetect(input, canvas, now));\n }\n });\n }\n}\n\n// main processing function when input is image, can use direct invocation or web worker\nasync function processImage(input) {\n return new Promise((resolve) => {\n const image = new Image();\n image.onload = async () => {\n log('Processing image:', image.src);\n const canvas = document.getElementById('canvas');\n image.width = image.naturalWidth;\n image.height = image.naturalHeight;\n canvas.width = human.config.filter.width && human.config.filter.width > 0 ? human.config.filter.width : image.naturalWidth;\n canvas.height = human.config.filter.height && human.config.filter.height > 0 ? human.config.filter.height : image.naturalHeight;\n const result = await human.detect(image, userConfig);\n lastDetectedResult = result;\n await drawResults(image);\n const thumb = document.createElement('canvas');\n thumb.className = 'thumbnail';\n thumb.width = window.innerWidth / (ui.columns + 0.1);\n thumb.height = canvas.height / (window.innerWidth / thumb.width);\n const ctx = thumb.getContext('2d');\n ctx.drawImage(canvas, 0, 0, canvas.width, canvas.height, 0, 0, thumb.width, thumb.height);\n document.getElementById('samples-container').appendChild(thumb);\n image.src = '';\n resolve(true);\n };\n image.src = input;\n });\n}\n\n// just initialize everything and call main function\nasync function detectVideo() {\n userConfig.videoOptimized = true;\n document.getElementById('samples-container').style.display = 'none';\n document.getElementById('canvas').style.display = 'block';\n const video = document.getElementById('video');\n const canvas = document.getElementById('canvas');\n if ((video.srcObject !== null) && !video.paused) {\n document.getElementById('play').style.display = 'block';\n document.getElementById('btnStart').className = 'button button-start';\n document.getElementById('btnStart').innerHTML = 'start
video';\n status('paused');\n video.pause();\n } else {\n const cameraError = await setupCamera();\n if (!cameraError) {\n document.getElementById('play').style.display = 'none';\n for (const m of Object.values(menu)) m.hide();\n status('');\n document.getElementById('btnStart').className = 'button button-stop';\n document.getElementById('btnStart').innerHTML = 'pause
video';\n await video.play();\n if (!ui.detectThread) runHumanDetect(video, canvas);\n } else {\n status(cameraError);\n }\n }\n}\n\n// just initialize everything and call main function\nasync function detectSampleImages() {\n document.getElementById('play').style.display = 'none';\n userConfig.videoOptimized = false;\n const size = Math.trunc(window.devicePixelRatio * (8 + (4 * ui.columns)));\n ui.baseFont = ui.baseFontProto.replace(/{size}/, `${size}px`);\n ui.baseLineHeight = size + 2;\n document.getElementById('canvas').style.display = 'none';\n document.getElementById('samples-container').style.display = 'block';\n log('Running detection of sample images');\n status('processing images');\n document.getElementById('samples-container').innerHTML = '';\n for (const image of ui.samples) await processImage(image);\n status('');\n}\n\nfunction setupMenu() {\n let x = [];\n if (window.innerWidth > 800) {\n // initial position of menu items, later it's calculated based on mouse coordinates\n x = [`${document.getElementById('btnDisplay').offsetLeft - 50}px`, `${document.getElementById('btnImage').offsetLeft - 50}px`, `${document.getElementById('btnProcess').offsetLeft - 50}px`, `${document.getElementById('btnModel').offsetLeft - 50}px`];\n } else {\n // absolute minimum spacing for menus\n x = ['0rem', '11rem', '21.1rem', '33rem'];\n }\n\n menu.display = new Menu(document.body, '', { top: `${document.getElementById('menubar').offsetHeight}px`, left: x[0] });\n menu.display.addBool('perf monitor', ui, 'bench', (val) => ui.bench = val);\n menu.display.addBool('buffered output', ui, 'buffered', (val) => ui.buffered = val);\n menu.display.addBool('crop & scale', ui, 'crop', (val) => {\n ui.crop = val;\n setupCamera();\n });\n menu.display.addBool('camera facing', ui, 'facing', (val) => {\n ui.facing = val;\n setupCamera();\n });\n menu.display.addHTML('
');\n menu.display.addBool('use 3D depth', ui, 'useDepth');\n menu.display.addBool('draw boxes', ui, 'drawBoxes');\n menu.display.addBool('draw polygons', ui, 'drawPolygons');\n menu.display.addBool('Fill Polygons', ui, 'fillPolygons');\n menu.display.addBool('draw points', ui, 'drawPoints');\n\n menu.image = new Menu(document.body, '', { top: `${document.getElementById('menubar').offsetHeight}px`, left: x[1] });\n menu.image.addBool('enabled', human.config.filter, 'enabled', (val) => human.config.filter.enabled = val);\n ui.menuWidth = menu.image.addRange('image width', human.config.filter, 'width', 0, 3840, 10, (val) => human.config.filter.width = parseInt(val));\n ui.menuHeight = menu.image.addRange('image height', human.config.filter, 'height', 0, 2160, 10, (val) => human.config.filter.height = parseInt(val));\n menu.image.addHTML('
');\n menu.image.addRange('brightness', human.config.filter, 'brightness', -1.0, 1.0, 0.05, (val) => human.config.filter.brightness = parseFloat(val));\n menu.image.addRange('contrast', human.config.filter, 'contrast', -1.0, 1.0, 0.05, (val) => human.config.filter.contrast = parseFloat(val));\n menu.image.addRange('sharpness', human.config.filter, 'sharpness', 0, 1.0, 0.05, (val) => human.config.filter.sharpness = parseFloat(val));\n menu.image.addRange('blur', human.config.filter, 'blur', 0, 20, 1, (val) => human.config.filter.blur = parseInt(val));\n menu.image.addRange('saturation', human.config.filter, 'saturation', -1.0, 1.0, 0.05, (val) => human.config.filter.saturation = parseFloat(val));\n menu.image.addRange('hue', human.config.filter, 'hue', 0, 360, 5, (val) => human.config.filter.hue = parseInt(val));\n menu.image.addRange('pixelate', human.config.filter, 'pixelate', 0, 32, 1, (val) => human.config.filter.pixelate = parseInt(val));\n menu.image.addHTML('
');\n menu.image.addBool('negative', human.config.filter, 'negative', (val) => human.config.filter.negative = val);\n menu.image.addBool('sepia', human.config.filter, 'sepia', (val) => human.config.filter.sepia = val);\n menu.image.addBool('vintage', human.config.filter, 'vintage', (val) => human.config.filter.vintage = val);\n menu.image.addBool('kodachrome', human.config.filter, 'kodachrome', (val) => human.config.filter.kodachrome = val);\n menu.image.addBool('technicolor', human.config.filter, 'technicolor', (val) => human.config.filter.technicolor = val);\n menu.image.addBool('polaroid', human.config.filter, 'polaroid', (val) => human.config.filter.polaroid = val);\n\n menu.process = new Menu(document.body, '', { top: `${document.getElementById('menubar').offsetHeight}px`, left: x[2] });\n menu.process.addList('backend', ['cpu', 'webgl', 'wasm', 'humangl'], human.config.backend, (val) => human.config.backend = val);\n menu.process.addBool('async operations', human.config, 'async', (val) => human.config.async = val);\n menu.process.addBool('enable profiler', human.config, 'profile', (val) => human.config.profile = val);\n menu.process.addBool('memory shield', human.config, 'deallocate', (val) => human.config.deallocate = val);\n menu.process.addBool('use web worker', ui, 'useWorker');\n menu.process.addHTML('
');\n menu.process.addLabel('model parameters');\n menu.process.addRange('max objects', human.config.face.detector, 'maxFaces', 1, 50, 1, (val) => {\n human.config.face.detector.maxFaces = parseInt(val);\n human.config.body.maxDetections = parseInt(val);\n human.config.hand.maxHands = parseInt(val);\n });\n menu.process.addRange('skip frames', human.config.face.detector, 'skipFrames', 0, 50, 1, (val) => {\n human.config.face.detector.skipFrames = parseInt(val);\n human.config.face.emotion.skipFrames = parseInt(val);\n human.config.face.age.skipFrames = parseInt(val);\n human.config.hand.skipFrames = parseInt(val);\n });\n menu.process.addRange('min confidence', human.config.face.detector, 'minConfidence', 0.0, 1.0, 0.05, (val) => {\n human.config.face.detector.minConfidence = parseFloat(val);\n human.config.face.gender.minConfidence = parseFloat(val);\n human.config.face.emotion.minConfidence = parseFloat(val);\n human.config.hand.minConfidence = parseFloat(val);\n });\n menu.process.addRange('score threshold', human.config.face.detector, 'scoreThreshold', 0.1, 1.0, 0.05, (val) => {\n human.config.face.detector.scoreThreshold = parseFloat(val);\n human.config.hand.scoreThreshold = parseFloat(val);\n human.config.body.scoreThreshold = parseFloat(val);\n });\n menu.process.addRange('overlap', human.config.face.detector, 'iouThreshold', 0.1, 1.0, 0.05, (val) => {\n human.config.face.detector.iouThreshold = parseFloat(val);\n human.config.hand.iouThreshold = parseFloat(val);\n });\n menu.process.addBool('detection rotation', human.config.face.detector, 'rotation', (val) => {\n human.config.face.detector.rotation = val;\n human.config.hand.rotation = val;\n });\n menu.process.addHTML('
');\n menu.process.addButton('process sample images', 'process images', () => detectSampleImages());\n menu.process.addHTML('
');\n menu.process.addChart('FPS', 'FPS');\n\n menu.models = new Menu(document.body, '', { top: `${document.getElementById('menubar').offsetHeight}px`, left: x[3] });\n menu.models.addBool('face detect', human.config.face, 'enabled', (val) => human.config.face.enabled = val);\n menu.models.addBool('face mesh', human.config.face.mesh, 'enabled', (val) => human.config.face.mesh.enabled = val);\n menu.models.addBool('face iris', human.config.face.iris, 'enabled', (val) => human.config.face.iris.enabled = val);\n menu.models.addBool('face age', human.config.face.age, 'enabled', (val) => human.config.face.age.enabled = val);\n menu.models.addBool('face gender', human.config.face.gender, 'enabled', (val) => human.config.face.gender.enabled = val);\n menu.models.addBool('face emotion', human.config.face.emotion, 'enabled', (val) => human.config.face.emotion.enabled = val);\n menu.models.addHTML('
');\n menu.models.addBool('body pose', human.config.body, 'enabled', (val) => human.config.body.enabled = val);\n menu.models.addBool('hand pose', human.config.hand, 'enabled', (val) => human.config.hand.enabled = val);\n menu.models.addHTML('
');\n menu.models.addBool('gestures', human.config.gesture, 'enabled', (val) => human.config.gesture.enabled = val);\n menu.models.addHTML('
');\n menu.models.addBool('face compare', human.config.face.embedding, 'enabled', (val) => {\n human.config.face.embedding.enabled = val;\n original = null;\n });\n\n document.getElementById('btnDisplay').addEventListener('click', (evt) => menu.display.toggle(evt));\n document.getElementById('btnImage').addEventListener('click', (evt) => menu.image.toggle(evt));\n document.getElementById('btnProcess').addEventListener('click', (evt) => menu.process.toggle(evt));\n document.getElementById('btnModel').addEventListener('click', (evt) => menu.models.toggle(evt));\n document.getElementById('btnStart').addEventListener('click', () => detectVideo());\n document.getElementById('play').addEventListener('click', () => detectVideo());\n}\n\nasync function main() {\n log('Demo starting ...');\n log('Browser:', navigator?.userAgent);\n setupMenu();\n document.getElementById('log').innerText = `Human: version ${human.version}`;\n if (ui.modelsPreload && !ui.useWorker) {\n status('loading');\n await human.load(userConfig); // this is not required, just pre-loads all models\n }\n if (!ui.useWorker) {\n status('initializing');\n await human.warmup(userConfig); // this is not required, just pre-warms all models for faster initial inference\n }\n status('human: ready');\n document.getElementById('loader').style.display = 'none';\n document.getElementById('play').style.display = 'block';\n log('Demo ready...');\n}\n\nwindow.onload = main;\nwindow.onresize = setupCamera;\n"], - "mappings": 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+ "sourcesContent": ["import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as blazeface from './blazeface';\nimport * as facepipeline from './facepipeline';\nimport * as coords from './coords';\n\nexport class MediaPipeFaceMesh {\n facePipeline: any;\n config: any;\n\n constructor(blazeFace, blazeMeshModel, irisModel, config) {\n this.facePipeline = new facepipeline.Pipeline(blazeFace, blazeMeshModel, irisModel, config);\n this.config = config;\n }\n\n async estimateFaces(input, config) {\n const predictions = await this.facePipeline.predict(input, config);\n const results: Array<{}> = [];\n for (const prediction of (predictions || [])) {\n if (prediction.isDisposedInternal) continue; // guard against disposed tensors on long running operations such as pause in middle of processing\n const mesh = prediction.coords ? prediction.coords.arraySync() : null;\n const meshRaw = prediction.rawCoords;\n const annotations = {};\n if (mesh && mesh.length > 0) {\n for (const key of Object.keys(coords.MESH_ANNOTATIONS)) {\n annotations[key] = coords.MESH_ANNOTATIONS[key].map((index) => mesh[index]);\n }\n }\n const boxRaw = (config.face.mesh.returnRawData && prediction.box) ? { topLeft: prediction.box.startPoint, bottomRight: prediction.box.endPoint } : null;\n const box = prediction.box ? [\n Math.max(0, prediction.box.startPoint[0]),\n Math.max(0, prediction.box.startPoint[1]),\n Math.min(input.shape[2], prediction.box.endPoint[0]) - prediction.box.startPoint[0],\n Math.min(input.shape[1], prediction.box.endPoint[1]) - prediction.box.startPoint[1],\n ] : 0;\n results.push({ confidence: prediction.confidence || 0, box, mesh, boxRaw, meshRaw, annotations, image: prediction.image ? tf.clone(prediction.image) : null });\n if (prediction.coords) prediction.coords.dispose();\n if (prediction.image) prediction.image.dispose();\n }\n return results;\n }\n}\n\nlet faceModels = [null, null, null];\nexport async function load(config) {\n // @ts-ignore\n faceModels = await Promise.all([\n (!faceModels[0] && config.face.enabled) ? blazeface.load(config) : null,\n (!faceModels[1] && config.face.mesh.enabled) ? tf.loadGraphModel(config.face.mesh.modelPath, { fromTFHub: config.face.mesh.modelPath.includes('tfhub.dev') }) : null,\n (!faceModels[2] && config.face.iris.enabled) ? tf.loadGraphModel(config.face.iris.modelPath, { fromTFHub: config.face.iris.modelPath.includes('tfhub.dev') }) : null,\n ]);\n const faceMesh = new MediaPipeFaceMesh(faceModels[0], faceModels[1], faceModels[2], config);\n if (config.face.mesh.enabled) log(`load model: ${config.face.mesh.modelPath.match(/\\/(.*)\\./)[1]}`);\n if (config.face.iris.enabled) log(`load model: ${config.face.iris.modelPath.match(/\\/(.*)\\./)[1]}`);\n return faceMesh;\n}\n\nexports.triangulation = coords.TRI468;\n", "export const partNames = [\n 'nose', 'leftEye', 'rightEye', 'leftEar', 'rightEar', 'leftShoulder',\n 'rightShoulder', 'leftElbow', 'rightElbow', 'leftWrist', 'rightWrist',\n 'leftHip', 'rightHip', 'leftKnee', 'rightKnee', 'leftAnkle', 'rightAnkle',\n];\n\nexport const NUM_KEYPOINTS = exports.partNames.length;\n\nexport const partIds = exports.partNames.reduce((result, jointName, i) => {\n result[jointName] = i;\n return result;\n}, {});\n\nconst connectedPartNames = [\n ['leftHip', 'leftShoulder'], ['leftElbow', 'leftShoulder'],\n ['leftElbow', 'leftWrist'], ['leftHip', 'leftKnee'],\n ['leftKnee', 'leftAnkle'], ['rightHip', 'rightShoulder'],\n ['rightElbow', 'rightShoulder'], ['rightElbow', 'rightWrist'],\n ['rightHip', 'rightKnee'], ['rightKnee', 'rightAnkle'],\n ['leftShoulder', 'rightShoulder'], ['leftHip', 'rightHip'],\n];\nexport const connectedPartIndices = connectedPartNames.map(([jointNameA, jointNameB]) => ([partIds[jointNameA], partIds[jointNameB]]));\n\nexport const poseChain = [\n ['nose', 'leftEye'], ['leftEye', 'leftEar'], ['nose', 'rightEye'],\n ['rightEye', 'rightEar'], ['nose', 'leftShoulder'],\n ['leftShoulder', 'leftElbow'], ['leftElbow', 'leftWrist'],\n ['leftShoulder', 'leftHip'], ['leftHip', 'leftKnee'],\n ['leftKnee', 'leftAnkle'], ['nose', 'rightShoulder'],\n ['rightShoulder', 'rightElbow'], ['rightElbow', 'rightWrist'],\n ['rightShoulder', 'rightHip'], ['rightHip', 'rightKnee'],\n ['rightKnee', 'rightAnkle'],\n];\n\nexport const partChannels = [\n 'left_face',\n 'right_face',\n 'right_upper_leg_front',\n 'right_lower_leg_back',\n 'right_upper_leg_back',\n 'left_lower_leg_front',\n 'left_upper_leg_front',\n 'left_upper_leg_back',\n 'left_lower_leg_back',\n 'right_feet',\n 'right_lower_leg_front',\n 'left_feet',\n 'torso_front',\n 'torso_back',\n 'right_upper_arm_front',\n 'right_upper_arm_back',\n 'right_lower_arm_back',\n 'left_lower_arm_front',\n 'left_upper_arm_front',\n 'left_upper_arm_back',\n 'left_lower_arm_back',\n 'right_hand',\n 'right_lower_arm_front',\n 'left_hand',\n];\n", "// helper function: wrapper around console output\nexport function log(...msg) {\n const dt = new Date();\n const ts = `${dt.getHours().toString().padStart(2, '0')}:${dt.getMinutes().toString().padStart(2, '0')}:${dt.getSeconds().toString().padStart(2, '0')}.${dt.getMilliseconds().toString().padStart(3, '0')}`;\n // eslint-disable-next-line no-console\n if (msg) console.log(ts, 'Human:', ...msg);\n}\n", "", "// A port of an algorithm by Johannes Baag\u00F8e , 2010\n// http://baagoe.com/en/RandomMusings/javascript/\n// https://github.com/nquinlan/better-random-numbers-for-javascript-mirror\n// Original work is under MIT license -\n\n// Copyright (C) 2010 by Johannes Baag\u00F8e \n//\n// Permission is hereby granted, free of charge, to any person obtaining a copy\n// of this software and associated documentation files (the \"Software\"), to deal\n// in the Software without restriction, including without limitation the rights\n// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell\n// copies of the Software, and to permit persons to whom the Software is\n// furnished to do so, subject to the following conditions:\n// \n// The above copyright notice and this permission notice shall be included in\n// all copies or substantial portions of the Software.\n// \n// THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\n// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\n// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN\n// THE SOFTWARE.\n\n\n\n(function(global, module, define) {\n\nfunction Alea(seed) {\n var me = this, mash = Mash();\n\n me.next = function() {\n var t = 2091639 * me.s0 + me.c * 2.3283064365386963e-10; // 2^-32\n me.s0 = me.s1;\n me.s1 = me.s2;\n return me.s2 = t - (me.c = t | 0);\n };\n\n // Apply the seeding algorithm from Baagoe.\n me.c = 1;\n me.s0 = mash(' ');\n me.s1 = mash(' ');\n me.s2 = mash(' ');\n me.s0 -= mash(seed);\n if (me.s0 < 0) { me.s0 += 1; }\n me.s1 -= mash(seed);\n if (me.s1 < 0) { me.s1 += 1; }\n me.s2 -= mash(seed);\n if (me.s2 < 0) { me.s2 += 1; }\n mash = null;\n}\n\nfunction copy(f, t) {\n t.c = f.c;\n t.s0 = f.s0;\n t.s1 = f.s1;\n t.s2 = f.s2;\n return t;\n}\n\nfunction impl(seed, opts) {\n var xg = new Alea(seed),\n state = opts && opts.state,\n prng = xg.next;\n prng.int32 = function() { return (xg.next() * 0x100000000) | 0; }\n prng.double = function() {\n return prng() + (prng() * 0x200000 | 0) * 1.1102230246251565e-16; // 2^-53\n };\n prng.quick = prng;\n if (state) {\n if (typeof(state) == 'object') copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nfunction Mash() {\n var n = 0xefc8249d;\n\n var mash = function(data) {\n data = data.toString();\n for (var i = 0; i < data.length; i++) {\n n += data.charCodeAt(i);\n var h = 0.02519603282416938 * n;\n n = h >>> 0;\n h -= n;\n h *= n;\n n = h >>> 0;\n h -= n;\n n += h * 0x100000000; // 2^32\n }\n return (n >>> 0) * 2.3283064365386963e-10; // 2^-32\n };\n\n return mash;\n}\n\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.alea = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n\n", "// A Javascript implementaion of the \"xor128\" prng algorithm by\n// George Marsaglia. See http://www.jstatsoft.org/v08/i14/paper\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this, strseed = '';\n\n me.x = 0;\n me.y = 0;\n me.z = 0;\n me.w = 0;\n\n // Set up generator function.\n me.next = function() {\n var t = me.x ^ (me.x << 11);\n me.x = me.y;\n me.y = me.z;\n me.z = me.w;\n return me.w ^= (me.w >>> 19) ^ t ^ (t >>> 8);\n };\n\n if (seed === (seed | 0)) {\n // Integer seed.\n me.x = seed;\n } else {\n // String seed.\n strseed += seed;\n }\n\n // Mix in string seed, then discard an initial batch of 64 values.\n for (var k = 0; k < strseed.length + 64; k++) {\n me.x ^= strseed.charCodeAt(k) | 0;\n me.next();\n }\n}\n\nfunction copy(f, t) {\n t.x = f.x;\n t.y = f.y;\n t.z = f.z;\n t.w = f.w;\n return t;\n}\n\nfunction impl(seed, opts) {\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (typeof(state) == 'object') copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.xor128 = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n\n", "// A Javascript implementaion of the \"xorwow\" prng algorithm by\n// George Marsaglia. See http://www.jstatsoft.org/v08/i14/paper\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this, strseed = '';\n\n // Set up generator function.\n me.next = function() {\n var t = (me.x ^ (me.x >>> 2));\n me.x = me.y; me.y = me.z; me.z = me.w; me.w = me.v;\n return (me.d = (me.d + 362437 | 0)) +\n (me.v = (me.v ^ (me.v << 4)) ^ (t ^ (t << 1))) | 0;\n };\n\n me.x = 0;\n me.y = 0;\n me.z = 0;\n me.w = 0;\n me.v = 0;\n\n if (seed === (seed | 0)) {\n // Integer seed.\n me.x = seed;\n } else {\n // String seed.\n strseed += seed;\n }\n\n // Mix in string seed, then discard an initial batch of 64 values.\n for (var k = 0; k < strseed.length + 64; k++) {\n me.x ^= strseed.charCodeAt(k) | 0;\n if (k == strseed.length) {\n me.d = me.x << 10 ^ me.x >>> 4;\n }\n me.next();\n }\n}\n\nfunction copy(f, t) {\n t.x = f.x;\n t.y = f.y;\n t.z = f.z;\n t.w = f.w;\n t.v = f.v;\n t.d = f.d;\n return t;\n}\n\nfunction impl(seed, opts) {\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (typeof(state) == 'object') copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.xorwow = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n\n", "// A Javascript implementaion of the \"xorshift7\" algorithm by\n// Fran\u00E7ois Panneton and Pierre L'ecuyer:\n// \"On the Xorgshift Random Number Generators\"\n// http://saluc.engr.uconn.edu/refs/crypto/rng/panneton05onthexorshift.pdf\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this;\n\n // Set up generator function.\n me.next = function() {\n // Update xor generator.\n var X = me.x, i = me.i, t, v, w;\n t = X[i]; t ^= (t >>> 7); v = t ^ (t << 24);\n t = X[(i + 1) & 7]; v ^= t ^ (t >>> 10);\n t = X[(i + 3) & 7]; v ^= t ^ (t >>> 3);\n t = X[(i + 4) & 7]; v ^= t ^ (t << 7);\n t = X[(i + 7) & 7]; t = t ^ (t << 13); v ^= t ^ (t << 9);\n X[i] = v;\n me.i = (i + 1) & 7;\n return v;\n };\n\n function init(me, seed) {\n var j, w, X = [];\n\n if (seed === (seed | 0)) {\n // Seed state array using a 32-bit integer.\n w = X[0] = seed;\n } else {\n // Seed state using a string.\n seed = '' + seed;\n for (j = 0; j < seed.length; ++j) {\n X[j & 7] = (X[j & 7] << 15) ^\n (seed.charCodeAt(j) + X[(j + 1) & 7] << 13);\n }\n }\n // Enforce an array length of 8, not all zeroes.\n while (X.length < 8) X.push(0);\n for (j = 0; j < 8 && X[j] === 0; ++j);\n if (j == 8) w = X[7] = -1; else w = X[j];\n\n me.x = X;\n me.i = 0;\n\n // Discard an initial 256 values.\n for (j = 256; j > 0; --j) {\n me.next();\n }\n }\n\n init(me, seed);\n}\n\nfunction copy(f, t) {\n t.x = f.x.slice();\n t.i = f.i;\n return t;\n}\n\nfunction impl(seed, opts) {\n if (seed == null) seed = +(new Date);\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (state.x) copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.xorshift7 = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n", "// A Javascript implementaion of Richard Brent's Xorgens xor4096 algorithm.\n//\n// This fast non-cryptographic random number generator is designed for\n// use in Monte-Carlo algorithms. It combines a long-period xorshift\n// generator with a Weyl generator, and it passes all common batteries\n// of stasticial tests for randomness while consuming only a few nanoseconds\n// for each prng generated. For background on the generator, see Brent's\n// paper: \"Some long-period random number generators using shifts and xors.\"\n// http://arxiv.org/pdf/1004.3115v1.pdf\n//\n// Usage:\n//\n// var xor4096 = require('xor4096');\n// random = xor4096(1); // Seed with int32 or string.\n// assert.equal(random(), 0.1520436450538547); // (0, 1) range, 53 bits.\n// assert.equal(random.int32(), 1806534897); // signed int32, 32 bits.\n//\n// For nonzero numeric keys, this impelementation provides a sequence\n// identical to that by Brent's xorgens 3 implementaion in C. This\n// implementation also provides for initalizing the generator with\n// string seeds, or for saving and restoring the state of the generator.\n//\n// On Chrome, this prng benchmarks about 2.1 times slower than\n// Javascript's built-in Math.random().\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this;\n\n // Set up generator function.\n me.next = function() {\n var w = me.w,\n X = me.X, i = me.i, t, v;\n // Update Weyl generator.\n me.w = w = (w + 0x61c88647) | 0;\n // Update xor generator.\n v = X[(i + 34) & 127];\n t = X[i = ((i + 1) & 127)];\n v ^= v << 13;\n t ^= t << 17;\n v ^= v >>> 15;\n t ^= t >>> 12;\n // Update Xor generator array state.\n v = X[i] = v ^ t;\n me.i = i;\n // Result is the combination.\n return (v + (w ^ (w >>> 16))) | 0;\n };\n\n function init(me, seed) {\n var t, v, i, j, w, X = [], limit = 128;\n if (seed === (seed | 0)) {\n // Numeric seeds initialize v, which is used to generates X.\n v = seed;\n seed = null;\n } else {\n // String seeds are mixed into v and X one character at a time.\n seed = seed + '\\0';\n v = 0;\n limit = Math.max(limit, seed.length);\n }\n // Initialize circular array and weyl value.\n for (i = 0, j = -32; j < limit; ++j) {\n // Put the unicode characters into the array, and shuffle them.\n if (seed) v ^= seed.charCodeAt((j + 32) % seed.length);\n // After 32 shuffles, take v as the starting w value.\n if (j === 0) w = v;\n v ^= v << 10;\n v ^= v >>> 15;\n v ^= v << 4;\n v ^= v >>> 13;\n if (j >= 0) {\n w = (w + 0x61c88647) | 0; // Weyl.\n t = (X[j & 127] ^= (v + w)); // Combine xor and weyl to init array.\n i = (0 == t) ? i + 1 : 0; // Count zeroes.\n }\n }\n // We have detected all zeroes; make the key nonzero.\n if (i >= 128) {\n X[(seed && seed.length || 0) & 127] = -1;\n }\n // Run the generator 512 times to further mix the state before using it.\n // Factoring this as a function slows the main generator, so it is just\n // unrolled here. The weyl generator is not advanced while warming up.\n i = 127;\n for (j = 4 * 128; j > 0; --j) {\n v = X[(i + 34) & 127];\n t = X[i = ((i + 1) & 127)];\n v ^= v << 13;\n t ^= t << 17;\n v ^= v >>> 15;\n t ^= t >>> 12;\n X[i] = v ^ t;\n }\n // Storing state as object members is faster than using closure variables.\n me.w = w;\n me.X = X;\n me.i = i;\n }\n\n init(me, seed);\n}\n\nfunction copy(f, t) {\n t.i = f.i;\n t.w = f.w;\n t.X = f.X.slice();\n return t;\n};\n\nfunction impl(seed, opts) {\n if (seed == null) seed = +(new Date);\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (state.X) copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.xor4096 = impl;\n}\n\n})(\n this, // window object or global\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n", "// A Javascript implementaion of the \"Tyche-i\" prng algorithm by\n// Samuel Neves and Filipe Araujo.\n// See https://eden.dei.uc.pt/~sneves/pubs/2011-snfa2.pdf\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this, strseed = '';\n\n // Set up generator function.\n me.next = function() {\n var b = me.b, c = me.c, d = me.d, a = me.a;\n b = (b << 25) ^ (b >>> 7) ^ c;\n c = (c - d) | 0;\n d = (d << 24) ^ (d >>> 8) ^ a;\n a = (a - b) | 0;\n me.b = b = (b << 20) ^ (b >>> 12) ^ c;\n me.c = c = (c - d) | 0;\n me.d = (d << 16) ^ (c >>> 16) ^ a;\n return me.a = (a - b) | 0;\n };\n\n /* The following is non-inverted tyche, which has better internal\n * bit diffusion, but which is about 25% slower than tyche-i in JS.\n me.next = function() {\n var a = me.a, b = me.b, c = me.c, d = me.d;\n a = (me.a + me.b | 0) >>> 0;\n d = me.d ^ a; d = d << 16 ^ d >>> 16;\n c = me.c + d | 0;\n b = me.b ^ c; b = b << 12 ^ d >>> 20;\n me.a = a = a + b | 0;\n d = d ^ a; me.d = d = d << 8 ^ d >>> 24;\n me.c = c = c + d | 0;\n b = b ^ c;\n return me.b = (b << 7 ^ b >>> 25);\n }\n */\n\n me.a = 0;\n me.b = 0;\n me.c = 2654435769 | 0;\n me.d = 1367130551;\n\n if (seed === Math.floor(seed)) {\n // Integer seed.\n me.a = (seed / 0x100000000) | 0;\n me.b = seed | 0;\n } else {\n // String seed.\n strseed += seed;\n }\n\n // Mix in string seed, then discard an initial batch of 64 values.\n for (var k = 0; k < strseed.length + 20; k++) {\n me.b ^= strseed.charCodeAt(k) | 0;\n me.next();\n }\n}\n\nfunction copy(f, t) {\n t.a = f.a;\n t.b = f.b;\n t.c = f.c;\n t.d = f.d;\n return t;\n};\n\nfunction impl(seed, opts) {\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (typeof(state) == 'object') copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.tychei = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n\n", "", "/*\nCopyright 2014 David Bau.\n\nPermission is hereby granted, free of charge, to any person obtaining\na copy of this software and associated documentation files (the\n\"Software\"), to deal in the Software without restriction, including\nwithout limitation the rights to use, copy, modify, merge, publish,\ndistribute, sublicense, and/or sell copies of the Software, and to\npermit persons to whom the Software is furnished to do so, subject to\nthe following conditions:\n\nThe above copyright notice and this permission notice shall be\nincluded in all copies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND,\nEXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF\nMERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.\nIN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY\nCLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,\nTORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE\nSOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.\n\n*/\n\n(function (pool, math) {\n//\n// The following constants are related to IEEE 754 limits.\n//\nvar global = this,\n width = 256, // each RC4 output is 0 <= x < 256\n chunks = 6, // at least six RC4 outputs for each double\n digits = 52, // there are 52 significant digits in a double\n rngname = 'random', // rngname: name for Math.random and Math.seedrandom\n startdenom = math.pow(width, chunks),\n significance = math.pow(2, digits),\n overflow = significance * 2,\n mask = width - 1,\n nodecrypto; // node.js crypto module, initialized at the bottom.\n\n//\n// seedrandom()\n// This is the seedrandom function described above.\n//\nfunction seedrandom(seed, options, callback) {\n var key = [];\n options = (options == true) ? { entropy: true } : (options || {});\n\n // Flatten the seed string or build one from local entropy if needed.\n var shortseed = mixkey(flatten(\n options.entropy ? [seed, tostring(pool)] :\n (seed == null) ? autoseed() : seed, 3), key);\n\n // Use the seed to initialize an ARC4 generator.\n var arc4 = new ARC4(key);\n\n // This function returns a random double in [0, 1) that contains\n // randomness in every bit of the mantissa of the IEEE 754 value.\n var prng = function() {\n var n = arc4.g(chunks), // Start with a numerator n < 2 ^ 48\n d = startdenom, // and denominator d = 2 ^ 48.\n x = 0; // and no 'extra last byte'.\n while (n < significance) { // Fill up all significant digits by\n n = (n + x) * width; // shifting numerator and\n d *= width; // denominator and generating a\n x = arc4.g(1); // new least-significant-byte.\n }\n while (n >= overflow) { // To avoid rounding up, before adding\n n /= 2; // last byte, shift everything\n d /= 2; // right using integer math until\n x >>>= 1; // we have exactly the desired bits.\n }\n return (n + x) / d; // Form the number within [0, 1).\n };\n\n prng.int32 = function() { return arc4.g(4) | 0; }\n prng.quick = function() { return arc4.g(4) / 0x100000000; }\n prng.double = prng;\n\n // Mix the randomness into accumulated entropy.\n mixkey(tostring(arc4.S), pool);\n\n // Calling convention: what to return as a function of prng, seed, is_math.\n return (options.pass || callback ||\n function(prng, seed, is_math_call, state) {\n if (state) {\n // Load the arc4 state from the given state if it has an S array.\n if (state.S) { copy(state, arc4); }\n // Only provide the .state method if requested via options.state.\n prng.state = function() { return copy(arc4, {}); }\n }\n\n // If called as a method of Math (Math.seedrandom()), mutate\n // Math.random because that is how seedrandom.js has worked since v1.0.\n if (is_math_call) { math[rngname] = prng; return seed; }\n\n // Otherwise, it is a newer calling convention, so return the\n // prng directly.\n else return prng;\n })(\n prng,\n shortseed,\n 'global' in options ? options.global : (this == math),\n options.state);\n}\nmath['seed' + rngname] = seedrandom;\n\n//\n// ARC4\n//\n// An ARC4 implementation. The constructor takes a key in the form of\n// an array of at most (width) integers that should be 0 <= x < (width).\n//\n// The g(count) method returns a pseudorandom integer that concatenates\n// the next (count) outputs from ARC4. Its return value is a number x\n// that is in the range 0 <= x < (width ^ count).\n//\nfunction ARC4(key) {\n var t, keylen = key.length,\n me = this, i = 0, j = me.i = me.j = 0, s = me.S = [];\n\n // The empty key [] is treated as [0].\n if (!keylen) { key = [keylen++]; }\n\n // Set up S using the standard key scheduling algorithm.\n while (i < width) {\n s[i] = i++;\n }\n for (i = 0; i < width; i++) {\n s[i] = s[j = mask & (j + key[i % keylen] + (t = s[i]))];\n s[j] = t;\n }\n\n // The \"g\" method returns the next (count) outputs as one number.\n (me.g = function(count) {\n // Using instance members instead of closure state nearly doubles speed.\n var t, r = 0,\n i = me.i, j = me.j, s = me.S;\n while (count--) {\n t = s[i = mask & (i + 1)];\n r = r * width + s[mask & ((s[i] = s[j = mask & (j + t)]) + (s[j] = t))];\n }\n me.i = i; me.j = j;\n return r;\n // For robust unpredictability, the function call below automatically\n // discards an initial batch of values. This is called RC4-drop[256].\n // See http://google.com/search?q=rsa+fluhrer+response&btnI\n })(width);\n}\n\n//\n// copy()\n// Copies internal state of ARC4 to or from a plain object.\n//\nfunction copy(f, t) {\n t.i = f.i;\n t.j = f.j;\n t.S = f.S.slice();\n return t;\n};\n\n//\n// flatten()\n// Converts an object tree to nested arrays of strings.\n//\nfunction flatten(obj, depth) {\n var result = [], typ = (typeof obj), prop;\n if (depth && typ == 'object') {\n for (prop in obj) {\n try { result.push(flatten(obj[prop], depth - 1)); } catch (e) {}\n }\n }\n return (result.length ? result : typ == 'string' ? obj : obj + '\\0');\n}\n\n//\n// mixkey()\n// Mixes a string seed into a key that is an array of integers, and\n// returns a shortened string seed that is equivalent to the result key.\n//\nfunction mixkey(seed, key) {\n var stringseed = seed + '', smear, j = 0;\n while (j < stringseed.length) {\n key[mask & j] =\n mask & ((smear ^= key[mask & j] * 19) + stringseed.charCodeAt(j++));\n }\n return tostring(key);\n}\n\n//\n// autoseed()\n// Returns an object for autoseeding, using window.crypto and Node crypto\n// module if available.\n//\nfunction autoseed() {\n try {\n var out;\n if (nodecrypto && (out = nodecrypto.randomBytes)) {\n // The use of 'out' to remember randomBytes makes tight minified code.\n out = out(width);\n } else {\n out = new Uint8Array(width);\n (global.crypto || global.msCrypto).getRandomValues(out);\n }\n return tostring(out);\n } catch (e) {\n var browser = global.navigator,\n plugins = browser && browser.plugins;\n return [+new Date, global, plugins, global.screen, tostring(pool)];\n }\n}\n\n//\n// tostring()\n// Converts an array of charcodes to a string\n//\nfunction tostring(a) {\n return String.fromCharCode.apply(0, a);\n}\n\n//\n// When seedrandom.js is loaded, we immediately mix a few bits\n// from the built-in RNG into the entropy pool. Because we do\n// not want to interfere with deterministic PRNG state later,\n// seedrandom will not call math.random on its own again after\n// initialization.\n//\nmixkey(math.random(), pool);\n\n//\n// Nodejs and AMD support: export the implementation as a module using\n// either convention.\n//\nif ((typeof module) == 'object' && module.exports) {\n module.exports = seedrandom;\n // When in node.js, try using crypto package for autoseeding.\n try {\n nodecrypto = require('crypto');\n } catch (ex) {}\n} else if ((typeof define) == 'function' && define.amd) {\n define(function() { return seedrandom; });\n}\n\n// End anonymous scope, and pass initial values.\n})(\n [], // pool: entropy pool starts empty\n Math // math: package containing random, pow, and seedrandom\n);\n", "// A library of seedable RNGs implemented in Javascript.\n//\n// Usage:\n//\n// var seedrandom = require('seedrandom');\n// var random = seedrandom(1); // or any seed.\n// var x = random(); // 0 <= x < 1. Every bit is random.\n// var x = random.quick(); // 0 <= x < 1. 32 bits of randomness.\n\n// alea, a 53-bit multiply-with-carry generator by Johannes Baag\u00F8e.\n// Period: ~2^116\n// Reported to pass all BigCrush tests.\nvar alea = require('./lib/alea');\n\n// xor128, a pure xor-shift generator by George Marsaglia.\n// Period: 2^128-1.\n// Reported to fail: MatrixRank and LinearComp.\nvar xor128 = require('./lib/xor128');\n\n// xorwow, George Marsaglia's 160-bit xor-shift combined plus weyl.\n// Period: 2^192-2^32\n// Reported to fail: CollisionOver, SimpPoker, and LinearComp.\nvar xorwow = require('./lib/xorwow');\n\n// xorshift7, by Fran\u00E7ois Panneton and Pierre L'ecuyer, takes\n// a different approach: it adds robustness by allowing more shifts\n// than Marsaglia's original three. It is a 7-shift generator\n// with 256 bits, that passes BigCrush with no systmatic failures.\n// Period 2^256-1.\n// No systematic BigCrush failures reported.\nvar xorshift7 = require('./lib/xorshift7');\n\n// xor4096, by Richard Brent, is a 4096-bit xor-shift with a\n// very long period that also adds a Weyl generator. It also passes\n// BigCrush with no systematic failures. Its long period may\n// be useful if you have many generators and need to avoid\n// collisions.\n// Period: 2^4128-2^32.\n// No systematic BigCrush failures reported.\nvar xor4096 = require('./lib/xor4096');\n\n// Tyche-i, by Samuel Neves and Filipe Araujo, is a bit-shifting random\n// number generator derived from ChaCha, a modern stream cipher.\n// https://eden.dei.uc.pt/~sneves/pubs/2011-snfa2.pdf\n// Period: ~2^127\n// No systematic BigCrush failures reported.\nvar tychei = require('./lib/tychei');\n\n// The original ARC4-based prng included in this library.\n// Period: ~2^1600\nvar sr = require('./seedrandom');\n\nsr.alea = alea;\nsr.xor128 = xor128;\nsr.xorwow = xorwow;\nsr.xorshift7 = xorshift7;\nsr.xor4096 = xor4096;\nsr.tychei = tychei;\n\nmodule.exports = sr;\n", "// A port of an algorithm by Johannes Baag\u00F8e , 2010\n// http://baagoe.com/en/RandomMusings/javascript/\n// https://github.com/nquinlan/better-random-numbers-for-javascript-mirror\n// Original work is under MIT license -\n\n// Copyright (C) 2010 by Johannes Baag\u00F8e \n//\n// Permission is hereby granted, free of charge, to any person obtaining a copy\n// of this software and associated documentation files (the \"Software\"), to deal\n// in the Software without restriction, including without limitation the rights\n// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell\n// copies of the Software, and to permit persons to whom the Software is\n// furnished to do so, subject to the following conditions:\n// \n// The above copyright notice and this permission notice shall be included in\n// all copies or substantial portions of the Software.\n// \n// THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\n// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\n// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN\n// THE SOFTWARE.\n\n\n\n(function(global, module, define) {\n\nfunction Alea(seed) {\n var me = this, mash = Mash();\n\n me.next = function() {\n var t = 2091639 * me.s0 + me.c * 2.3283064365386963e-10; // 2^-32\n me.s0 = me.s1;\n me.s1 = me.s2;\n return me.s2 = t - (me.c = t | 0);\n };\n\n // Apply the seeding algorithm from Baagoe.\n me.c = 1;\n me.s0 = mash(' ');\n me.s1 = mash(' ');\n me.s2 = mash(' ');\n me.s0 -= mash(seed);\n if (me.s0 < 0) { me.s0 += 1; }\n me.s1 -= mash(seed);\n if (me.s1 < 0) { me.s1 += 1; }\n me.s2 -= mash(seed);\n if (me.s2 < 0) { me.s2 += 1; }\n mash = null;\n}\n\nfunction copy(f, t) {\n t.c = f.c;\n t.s0 = f.s0;\n t.s1 = f.s1;\n t.s2 = f.s2;\n return t;\n}\n\nfunction impl(seed, opts) {\n var xg = new Alea(seed),\n state = opts && opts.state,\n prng = xg.next;\n prng.int32 = function() { return (xg.next() * 0x100000000) | 0; }\n prng.double = function() {\n return prng() + (prng() * 0x200000 | 0) * 1.1102230246251565e-16; // 2^-53\n };\n prng.quick = prng;\n if (state) {\n if (typeof(state) == 'object') copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nfunction Mash() {\n var n = 0xefc8249d;\n\n var mash = function(data) {\n data = data.toString();\n for (var i = 0; i < data.length; i++) {\n n += data.charCodeAt(i);\n var h = 0.02519603282416938 * n;\n n = h >>> 0;\n h -= n;\n h *= n;\n n = h >>> 0;\n h -= n;\n n += h * 0x100000000; // 2^32\n }\n return (n >>> 0) * 2.3283064365386963e-10; // 2^-32\n };\n\n return mash;\n}\n\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.alea = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n\n", "// A Javascript implementaion of the \"xor128\" prng algorithm by\n// George Marsaglia. See http://www.jstatsoft.org/v08/i14/paper\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this, strseed = '';\n\n me.x = 0;\n me.y = 0;\n me.z = 0;\n me.w = 0;\n\n // Set up generator function.\n me.next = function() {\n var t = me.x ^ (me.x << 11);\n me.x = me.y;\n me.y = me.z;\n me.z = me.w;\n return me.w ^= (me.w >>> 19) ^ t ^ (t >>> 8);\n };\n\n if (seed === (seed | 0)) {\n // Integer seed.\n me.x = seed;\n } else {\n // String seed.\n strseed += seed;\n }\n\n // Mix in string seed, then discard an initial batch of 64 values.\n for (var k = 0; k < strseed.length + 64; k++) {\n me.x ^= strseed.charCodeAt(k) | 0;\n me.next();\n }\n}\n\nfunction copy(f, t) {\n t.x = f.x;\n t.y = f.y;\n t.z = f.z;\n t.w = f.w;\n return t;\n}\n\nfunction impl(seed, opts) {\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (typeof(state) == 'object') copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.xor128 = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n\n", "// A Javascript implementaion of the \"xorwow\" prng algorithm by\n// George Marsaglia. See http://www.jstatsoft.org/v08/i14/paper\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this, strseed = '';\n\n // Set up generator function.\n me.next = function() {\n var t = (me.x ^ (me.x >>> 2));\n me.x = me.y; me.y = me.z; me.z = me.w; me.w = me.v;\n return (me.d = (me.d + 362437 | 0)) +\n (me.v = (me.v ^ (me.v << 4)) ^ (t ^ (t << 1))) | 0;\n };\n\n me.x = 0;\n me.y = 0;\n me.z = 0;\n me.w = 0;\n me.v = 0;\n\n if (seed === (seed | 0)) {\n // Integer seed.\n me.x = seed;\n } else {\n // String seed.\n strseed += seed;\n }\n\n // Mix in string seed, then discard an initial batch of 64 values.\n for (var k = 0; k < strseed.length + 64; k++) {\n me.x ^= strseed.charCodeAt(k) | 0;\n if (k == strseed.length) {\n me.d = me.x << 10 ^ me.x >>> 4;\n }\n me.next();\n }\n}\n\nfunction copy(f, t) {\n t.x = f.x;\n t.y = f.y;\n t.z = f.z;\n t.w = f.w;\n t.v = f.v;\n t.d = f.d;\n return t;\n}\n\nfunction impl(seed, opts) {\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (typeof(state) == 'object') copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.xorwow = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n\n", "// A Javascript implementaion of the \"xorshift7\" algorithm by\n// Fran\u00E7ois Panneton and Pierre L'ecuyer:\n// \"On the Xorgshift Random Number Generators\"\n// http://saluc.engr.uconn.edu/refs/crypto/rng/panneton05onthexorshift.pdf\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this;\n\n // Set up generator function.\n me.next = function() {\n // Update xor generator.\n var X = me.x, i = me.i, t, v, w;\n t = X[i]; t ^= (t >>> 7); v = t ^ (t << 24);\n t = X[(i + 1) & 7]; v ^= t ^ (t >>> 10);\n t = X[(i + 3) & 7]; v ^= t ^ (t >>> 3);\n t = X[(i + 4) & 7]; v ^= t ^ (t << 7);\n t = X[(i + 7) & 7]; t = t ^ (t << 13); v ^= t ^ (t << 9);\n X[i] = v;\n me.i = (i + 1) & 7;\n return v;\n };\n\n function init(me, seed) {\n var j, w, X = [];\n\n if (seed === (seed | 0)) {\n // Seed state array using a 32-bit integer.\n w = X[0] = seed;\n } else {\n // Seed state using a string.\n seed = '' + seed;\n for (j = 0; j < seed.length; ++j) {\n X[j & 7] = (X[j & 7] << 15) ^\n (seed.charCodeAt(j) + X[(j + 1) & 7] << 13);\n }\n }\n // Enforce an array length of 8, not all zeroes.\n while (X.length < 8) X.push(0);\n for (j = 0; j < 8 && X[j] === 0; ++j);\n if (j == 8) w = X[7] = -1; else w = X[j];\n\n me.x = X;\n me.i = 0;\n\n // Discard an initial 256 values.\n for (j = 256; j > 0; --j) {\n me.next();\n }\n }\n\n init(me, seed);\n}\n\nfunction copy(f, t) {\n t.x = f.x.slice();\n t.i = f.i;\n return t;\n}\n\nfunction impl(seed, opts) {\n if (seed == null) seed = +(new Date);\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (state.x) copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.xorshift7 = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n", "// A Javascript implementaion of Richard Brent's Xorgens xor4096 algorithm.\n//\n// This fast non-cryptographic random number generator is designed for\n// use in Monte-Carlo algorithms. It combines a long-period xorshift\n// generator with a Weyl generator, and it passes all common batteries\n// of stasticial tests for randomness while consuming only a few nanoseconds\n// for each prng generated. For background on the generator, see Brent's\n// paper: \"Some long-period random number generators using shifts and xors.\"\n// http://arxiv.org/pdf/1004.3115v1.pdf\n//\n// Usage:\n//\n// var xor4096 = require('xor4096');\n// random = xor4096(1); // Seed with int32 or string.\n// assert.equal(random(), 0.1520436450538547); // (0, 1) range, 53 bits.\n// assert.equal(random.int32(), 1806534897); // signed int32, 32 bits.\n//\n// For nonzero numeric keys, this impelementation provides a sequence\n// identical to that by Brent's xorgens 3 implementaion in C. This\n// implementation also provides for initalizing the generator with\n// string seeds, or for saving and restoring the state of the generator.\n//\n// On Chrome, this prng benchmarks about 2.1 times slower than\n// Javascript's built-in Math.random().\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this;\n\n // Set up generator function.\n me.next = function() {\n var w = me.w,\n X = me.X, i = me.i, t, v;\n // Update Weyl generator.\n me.w = w = (w + 0x61c88647) | 0;\n // Update xor generator.\n v = X[(i + 34) & 127];\n t = X[i = ((i + 1) & 127)];\n v ^= v << 13;\n t ^= t << 17;\n v ^= v >>> 15;\n t ^= t >>> 12;\n // Update Xor generator array state.\n v = X[i] = v ^ t;\n me.i = i;\n // Result is the combination.\n return (v + (w ^ (w >>> 16))) | 0;\n };\n\n function init(me, seed) {\n var t, v, i, j, w, X = [], limit = 128;\n if (seed === (seed | 0)) {\n // Numeric seeds initialize v, which is used to generates X.\n v = seed;\n seed = null;\n } else {\n // String seeds are mixed into v and X one character at a time.\n seed = seed + '\\0';\n v = 0;\n limit = Math.max(limit, seed.length);\n }\n // Initialize circular array and weyl value.\n for (i = 0, j = -32; j < limit; ++j) {\n // Put the unicode characters into the array, and shuffle them.\n if (seed) v ^= seed.charCodeAt((j + 32) % seed.length);\n // After 32 shuffles, take v as the starting w value.\n if (j === 0) w = v;\n v ^= v << 10;\n v ^= v >>> 15;\n v ^= v << 4;\n v ^= v >>> 13;\n if (j >= 0) {\n w = (w + 0x61c88647) | 0; // Weyl.\n t = (X[j & 127] ^= (v + w)); // Combine xor and weyl to init array.\n i = (0 == t) ? i + 1 : 0; // Count zeroes.\n }\n }\n // We have detected all zeroes; make the key nonzero.\n if (i >= 128) {\n X[(seed && seed.length || 0) & 127] = -1;\n }\n // Run the generator 512 times to further mix the state before using it.\n // Factoring this as a function slows the main generator, so it is just\n // unrolled here. The weyl generator is not advanced while warming up.\n i = 127;\n for (j = 4 * 128; j > 0; --j) {\n v = X[(i + 34) & 127];\n t = X[i = ((i + 1) & 127)];\n v ^= v << 13;\n t ^= t << 17;\n v ^= v >>> 15;\n t ^= t >>> 12;\n X[i] = v ^ t;\n }\n // Storing state as object members is faster than using closure variables.\n me.w = w;\n me.X = X;\n me.i = i;\n }\n\n init(me, seed);\n}\n\nfunction copy(f, t) {\n t.i = f.i;\n t.w = f.w;\n t.X = f.X.slice();\n return t;\n};\n\nfunction impl(seed, opts) {\n if (seed == null) seed = +(new Date);\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (state.X) copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.xor4096 = impl;\n}\n\n})(\n this, // window object or global\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n", "// A Javascript implementaion of the \"Tyche-i\" prng algorithm by\n// Samuel Neves and Filipe Araujo.\n// See https://eden.dei.uc.pt/~sneves/pubs/2011-snfa2.pdf\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this, strseed = '';\n\n // Set up generator function.\n me.next = function() {\n var b = me.b, c = me.c, d = me.d, a = me.a;\n b = (b << 25) ^ (b >>> 7) ^ c;\n c = (c - d) | 0;\n d = (d << 24) ^ (d >>> 8) ^ a;\n a = (a - b) | 0;\n me.b = b = (b << 20) ^ (b >>> 12) ^ c;\n me.c = c = (c - d) | 0;\n me.d = (d << 16) ^ (c >>> 16) ^ a;\n return me.a = (a - b) | 0;\n };\n\n /* The following is non-inverted tyche, which has better internal\n * bit diffusion, but which is about 25% slower than tyche-i in JS.\n me.next = function() {\n var a = me.a, b = me.b, c = me.c, d = me.d;\n a = (me.a + me.b | 0) >>> 0;\n d = me.d ^ a; d = d << 16 ^ d >>> 16;\n c = me.c + d | 0;\n b = me.b ^ c; b = b << 12 ^ d >>> 20;\n me.a = a = a + b | 0;\n d = d ^ a; me.d = d = d << 8 ^ d >>> 24;\n me.c = c = c + d | 0;\n b = b ^ c;\n return me.b = (b << 7 ^ b >>> 25);\n }\n */\n\n me.a = 0;\n me.b = 0;\n me.c = 2654435769 | 0;\n me.d = 1367130551;\n\n if (seed === Math.floor(seed)) {\n // Integer seed.\n me.a = (seed / 0x100000000) | 0;\n me.b = seed | 0;\n } else {\n // String seed.\n strseed += seed;\n }\n\n // Mix in string seed, then discard an initial batch of 64 values.\n for (var k = 0; k < strseed.length + 20; k++) {\n me.b ^= strseed.charCodeAt(k) | 0;\n me.next();\n }\n}\n\nfunction copy(f, t) {\n t.a = f.a;\n t.b = f.b;\n t.c = f.c;\n t.d = f.d;\n return t;\n};\n\nfunction impl(seed, opts) {\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (typeof(state) == 'object') copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.tychei = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n\n", "/*\nCopyright 2014 David Bau.\n\nPermission is hereby granted, free of charge, to any person obtaining\na copy of this software and associated documentation files (the\n\"Software\"), to deal in the Software without restriction, including\nwithout limitation the rights to use, copy, modify, merge, publish,\ndistribute, sublicense, and/or sell copies of the Software, and to\npermit persons to whom the Software is furnished to do so, subject to\nthe following conditions:\n\nThe above copyright notice and this permission notice shall be\nincluded in all copies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND,\nEXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF\nMERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.\nIN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY\nCLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,\nTORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE\nSOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.\n\n*/\n\n(function (pool, math) {\n//\n// The following constants are related to IEEE 754 limits.\n//\nvar global = this,\n width = 256, // each RC4 output is 0 <= x < 256\n chunks = 6, // at least six RC4 outputs for each double\n digits = 52, // there are 52 significant digits in a double\n rngname = 'random', // rngname: name for Math.random and Math.seedrandom\n startdenom = math.pow(width, chunks),\n significance = math.pow(2, digits),\n overflow = significance * 2,\n mask = width - 1,\n nodecrypto; // node.js crypto module, initialized at the bottom.\n\n//\n// seedrandom()\n// This is the seedrandom function described above.\n//\nfunction seedrandom(seed, options, callback) {\n var key = [];\n options = (options == true) ? { entropy: true } : (options || {});\n\n // Flatten the seed string or build one from local entropy if needed.\n var shortseed = mixkey(flatten(\n options.entropy ? [seed, tostring(pool)] :\n (seed == null) ? autoseed() : seed, 3), key);\n\n // Use the seed to initialize an ARC4 generator.\n var arc4 = new ARC4(key);\n\n // This function returns a random double in [0, 1) that contains\n // randomness in every bit of the mantissa of the IEEE 754 value.\n var prng = function() {\n var n = arc4.g(chunks), // Start with a numerator n < 2 ^ 48\n d = startdenom, // and denominator d = 2 ^ 48.\n x = 0; // and no 'extra last byte'.\n while (n < significance) { // Fill up all significant digits by\n n = (n + x) * width; // shifting numerator and\n d *= width; // denominator and generating a\n x = arc4.g(1); // new least-significant-byte.\n }\n while (n >= overflow) { // To avoid rounding up, before adding\n n /= 2; // last byte, shift everything\n d /= 2; // right using integer math until\n x >>>= 1; // we have exactly the desired bits.\n }\n return (n + x) / d; // Form the number within [0, 1).\n };\n\n prng.int32 = function() { return arc4.g(4) | 0; }\n prng.quick = function() { return arc4.g(4) / 0x100000000; }\n prng.double = prng;\n\n // Mix the randomness into accumulated entropy.\n mixkey(tostring(arc4.S), pool);\n\n // Calling convention: what to return as a function of prng, seed, is_math.\n return (options.pass || callback ||\n function(prng, seed, is_math_call, state) {\n if (state) {\n // Load the arc4 state from the given state if it has an S array.\n if (state.S) { copy(state, arc4); }\n // Only provide the .state method if requested via options.state.\n prng.state = function() { return copy(arc4, {}); }\n }\n\n // If called as a method of Math (Math.seedrandom()), mutate\n // Math.random because that is how seedrandom.js has worked since v1.0.\n if (is_math_call) { math[rngname] = prng; return seed; }\n\n // Otherwise, it is a newer calling convention, so return the\n // prng directly.\n else return prng;\n })(\n prng,\n shortseed,\n 'global' in options ? options.global : (this == math),\n options.state);\n}\nmath['seed' + rngname] = seedrandom;\n\n//\n// ARC4\n//\n// An ARC4 implementation. The constructor takes a key in the form of\n// an array of at most (width) integers that should be 0 <= x < (width).\n//\n// The g(count) method returns a pseudorandom integer that concatenates\n// the next (count) outputs from ARC4. Its return value is a number x\n// that is in the range 0 <= x < (width ^ count).\n//\nfunction ARC4(key) {\n var t, keylen = key.length,\n me = this, i = 0, j = me.i = me.j = 0, s = me.S = [];\n\n // The empty key [] is treated as [0].\n if (!keylen) { key = [keylen++]; }\n\n // Set up S using the standard key scheduling algorithm.\n while (i < width) {\n s[i] = i++;\n }\n for (i = 0; i < width; i++) {\n s[i] = s[j = mask & (j + key[i % keylen] + (t = s[i]))];\n s[j] = t;\n }\n\n // The \"g\" method returns the next (count) outputs as one number.\n (me.g = function(count) {\n // Using instance members instead of closure state nearly doubles speed.\n var t, r = 0,\n i = me.i, j = me.j, s = me.S;\n while (count--) {\n t = s[i = mask & (i + 1)];\n r = r * width + s[mask & ((s[i] = s[j = mask & (j + t)]) + (s[j] = t))];\n }\n me.i = i; me.j = j;\n return r;\n // For robust unpredictability, the function call below automatically\n // discards an initial batch of values. This is called RC4-drop[256].\n // See http://google.com/search?q=rsa+fluhrer+response&btnI\n })(width);\n}\n\n//\n// copy()\n// Copies internal state of ARC4 to or from a plain object.\n//\nfunction copy(f, t) {\n t.i = f.i;\n t.j = f.j;\n t.S = f.S.slice();\n return t;\n};\n\n//\n// flatten()\n// Converts an object tree to nested arrays of strings.\n//\nfunction flatten(obj, depth) {\n var result = [], typ = (typeof obj), prop;\n if (depth && typ == 'object') {\n for (prop in obj) {\n try { result.push(flatten(obj[prop], depth - 1)); } catch (e) {}\n }\n }\n return (result.length ? result : typ == 'string' ? obj : obj + '\\0');\n}\n\n//\n// mixkey()\n// Mixes a string seed into a key that is an array of integers, and\n// returns a shortened string seed that is equivalent to the result key.\n//\nfunction mixkey(seed, key) {\n var stringseed = seed + '', smear, j = 0;\n while (j < stringseed.length) {\n key[mask & j] =\n mask & ((smear ^= key[mask & j] * 19) + stringseed.charCodeAt(j++));\n }\n return tostring(key);\n}\n\n//\n// autoseed()\n// Returns an object for autoseeding, using window.crypto and Node crypto\n// module if available.\n//\nfunction autoseed() {\n try {\n var out;\n if (nodecrypto && (out = nodecrypto.randomBytes)) {\n // The use of 'out' to remember randomBytes makes tight minified code.\n out = out(width);\n } else {\n out = new Uint8Array(width);\n (global.crypto || global.msCrypto).getRandomValues(out);\n }\n return tostring(out);\n } catch (e) {\n var browser = global.navigator,\n plugins = browser && browser.plugins;\n return [+new Date, global, plugins, global.screen, tostring(pool)];\n }\n}\n\n//\n// tostring()\n// Converts an array of charcodes to a string\n//\nfunction tostring(a) {\n return String.fromCharCode.apply(0, a);\n}\n\n//\n// When seedrandom.js is loaded, we immediately mix a few bits\n// from the built-in RNG into the entropy pool. Because we do\n// not want to interfere with deterministic PRNG state later,\n// seedrandom will not call math.random on its own again after\n// initialization.\n//\nmixkey(math.random(), pool);\n\n//\n// Nodejs and AMD support: export the implementation as a module using\n// either convention.\n//\nif ((typeof module) == 'object' && module.exports) {\n module.exports = seedrandom;\n // When in node.js, try using crypto package for autoseeding.\n try {\n nodecrypto = require('crypto');\n } catch (ex) {}\n} else if ((typeof define) == 'function' && define.amd) {\n define(function() { return seedrandom; });\n}\n\n// End anonymous scope, and pass initial values.\n})(\n [], // pool: entropy pool starts empty\n Math // math: package containing random, pow, and seedrandom\n);\n", "// A library of seedable RNGs implemented in Javascript.\n//\n// Usage:\n//\n// var seedrandom = require('seedrandom');\n// var random = seedrandom(1); // or any seed.\n// var x = random(); // 0 <= x < 1. Every bit is random.\n// var x = random.quick(); // 0 <= x < 1. 32 bits of randomness.\n\n// alea, a 53-bit multiply-with-carry generator by Johannes Baag\u00F8e.\n// Period: ~2^116\n// Reported to pass all BigCrush tests.\nvar alea = require('./lib/alea');\n\n// xor128, a pure xor-shift generator by George Marsaglia.\n// Period: 2^128-1.\n// Reported to fail: MatrixRank and LinearComp.\nvar xor128 = require('./lib/xor128');\n\n// xorwow, George Marsaglia's 160-bit xor-shift combined plus weyl.\n// Period: 2^192-2^32\n// Reported to fail: CollisionOver, SimpPoker, and LinearComp.\nvar xorwow = require('./lib/xorwow');\n\n// xorshift7, by Fran\u00E7ois Panneton and Pierre L'ecuyer, takes\n// a different approach: it adds robustness by allowing more shifts\n// than Marsaglia's original three. It is a 7-shift generator\n// with 256 bits, that passes BigCrush with no systmatic failures.\n// Period 2^256-1.\n// No systematic BigCrush failures reported.\nvar xorshift7 = require('./lib/xorshift7');\n\n// xor4096, by Richard Brent, is a 4096-bit xor-shift with a\n// very long period that also adds a Weyl generator. It also passes\n// BigCrush with no systematic failures. Its long period may\n// be useful if you have many generators and need to avoid\n// collisions.\n// Period: 2^4128-2^32.\n// No systematic BigCrush failures reported.\nvar xor4096 = require('./lib/xor4096');\n\n// Tyche-i, by Samuel Neves and Filipe Araujo, is a bit-shifting random\n// number generator derived from ChaCha, a modern stream cipher.\n// https://eden.dei.uc.pt/~sneves/pubs/2011-snfa2.pdf\n// Period: ~2^127\n// No systematic BigCrush failures reported.\nvar tychei = require('./lib/tychei');\n\n// The original ARC4-based prng included in this library.\n// Period: ~2^1600\nvar sr = require('./seedrandom');\n\nsr.alea = alea;\nsr.xor128 = xor128;\nsr.xorwow = xorwow;\nsr.xorshift7 = xorshift7;\nsr.xor4096 = xor4096;\nsr.tychei = tychei;\n\nmodule.exports = sr;\n", "", "", "", "\nvar WasmBackendModuleThreadedSimd = (function() {\n var _scriptDir = typeof document !== 'undefined' && document.currentScript ? document.currentScript.src : undefined;\n if (typeof __filename !== 'undefined') _scriptDir = _scriptDir || __filename;\n return (\nfunction(WasmBackendModuleThreadedSimd) {\n WasmBackendModuleThreadedSimd = WasmBackendModuleThreadedSimd || {};\n\nfunction GROWABLE_HEAP_I8(){if(wasmMemory.buffer!=buffer){updateGlobalBufferAndViews(wasmMemory.buffer)}return HEAP8}function GROWABLE_HEAP_U8(){if(wasmMemory.buffer!=buffer){updateGlobalBufferAndViews(wasmMemory.buffer)}return HEAPU8}function GROWABLE_HEAP_I32(){if(wasmMemory.buffer!=buffer){updateGlobalBufferAndViews(wasmMemory.buffer)}return HEAP32}function GROWABLE_HEAP_U32(){if(wasmMemory.buffer!=buffer){updateGlobalBufferAndViews(wasmMemory.buffer)}return HEAPU32}function GROWABLE_HEAP_F64(){if(wasmMemory.buffer!=buffer){updateGlobalBufferAndViews(wasmMemory.buffer)}return HEAPF64}var Module=typeof WasmBackendModuleThreadedSimd!==\"undefined\"?WasmBackendModuleThreadedSimd:{};var moduleOverrides={};var key;for(key in Module){if(Module.hasOwnProperty(key)){moduleOverrides[key]=Module[key]}}var arguments_=[];var thisProgram=\"./this.program\";var quit_=function(status,toThrow){throw toThrow};var ENVIRONMENT_IS_WEB=false;var ENVIRONMENT_IS_WORKER=false;var ENVIRONMENT_IS_NODE=false;var ENVIRONMENT_IS_SHELL=false;ENVIRONMENT_IS_WEB=typeof window===\"object\";ENVIRONMENT_IS_WORKER=typeof importScripts===\"function\";ENVIRONMENT_IS_NODE=typeof process===\"object\"&&typeof process.versions===\"object\"&&typeof process.versions.node===\"string\";ENVIRONMENT_IS_SHELL=!ENVIRONMENT_IS_WEB&&!ENVIRONMENT_IS_NODE&&!ENVIRONMENT_IS_WORKER;var ENVIRONMENT_IS_PTHREAD=Module[\"ENVIRONMENT_IS_PTHREAD\"]||false;if(ENVIRONMENT_IS_PTHREAD){buffer=Module[\"buffer\"];DYNAMIC_BASE=Module[\"DYNAMIC_BASE\"];DYNAMICTOP_PTR=Module[\"DYNAMICTOP_PTR\"]}var scriptDirectory=\"\";function locateFile(path){if(Module[\"locateFile\"]){return Module[\"locateFile\"](path,scriptDirectory)}return scriptDirectory+path}var read_,readAsync,readBinary,setWindowTitle;var nodeFS;var nodePath;if(ENVIRONMENT_IS_NODE){if(ENVIRONMENT_IS_WORKER){scriptDirectory=require(\"path\").dirname(scriptDirectory)+\"/\"}else{scriptDirectory=__dirname+\"/\"}read_=function shell_read(filename,binary){if(!nodeFS)nodeFS=require(\"fs\");if(!nodePath)nodePath=require(\"path\");filename=nodePath[\"normalize\"](filename);return nodeFS[\"readFileSync\"](filename,binary?null:\"utf8\")};readBinary=function readBinary(filename){var ret=read_(filename,true);if(!ret.buffer){ret=new Uint8Array(ret)}assert(ret.buffer);return ret};if(process[\"argv\"].length>1){thisProgram=process[\"argv\"][1].replace(/\\\\/g,\"/\")}arguments_=process[\"argv\"].slice(2);process[\"on\"](\"uncaughtException\",function(ex){if(!(ex instanceof ExitStatus)){throw ex}});process[\"on\"](\"unhandledRejection\",abort);quit_=function(status){process[\"exit\"](status)};Module[\"inspect\"]=function(){return\"[Emscripten Module object]\"};var nodeWorkerThreads;try{nodeWorkerThreads=require(\"worker_threads\")}catch(e){console.error('The \"worker_threads\" module is not supported in this node.js build - perhaps a newer version is needed?');throw e}Worker=nodeWorkerThreads.Worker}else if(ENVIRONMENT_IS_SHELL){if(typeof read!=\"undefined\"){read_=function shell_read(f){return read(f)}}readBinary=function readBinary(f){var data;if(typeof readbuffer===\"function\"){return new Uint8Array(readbuffer(f))}data=read(f,\"binary\");assert(typeof data===\"object\");return data};if(typeof scriptArgs!=\"undefined\"){arguments_=scriptArgs}else if(typeof arguments!=\"undefined\"){arguments_=arguments}if(typeof quit===\"function\"){quit_=function(status){quit(status)}}if(typeof print!==\"undefined\"){if(typeof console===\"undefined\")console={};console.log=print;console.warn=console.error=typeof printErr!==\"undefined\"?printErr:print}}else if(ENVIRONMENT_IS_WEB||ENVIRONMENT_IS_WORKER){if(ENVIRONMENT_IS_WORKER){scriptDirectory=self.location.href}else if(document.currentScript){scriptDirectory=document.currentScript.src}if(typeof _scriptDir !== \"undefined\" && _scriptDir){scriptDirectory=_scriptDir}if(scriptDirectory.indexOf(\"blob:\")!==0){scriptDirectory=scriptDirectory.substr(0,scriptDirectory.lastIndexOf(\"/\")+1)}else{scriptDirectory=\"\"}if(ENVIRONMENT_IS_NODE){read_=function shell_read(filename,binary){if(!nodeFS)nodeFS=require(\"fs\");if(!nodePath)nodePath=require(\"path\");filename=nodePath[\"normalize\"](filename);return nodeFS[\"readFileSync\"](filename,binary?null:\"utf8\")};readBinary=function readBinary(filename){var ret=read_(filename,true);if(!ret.buffer){ret=new Uint8Array(ret)}assert(ret.buffer);return ret}}else{read_=function shell_read(url){var xhr=new XMLHttpRequest;xhr.open(\"GET\",url,false);xhr.send(null);return xhr.responseText};if(ENVIRONMENT_IS_WORKER){readBinary=function readBinary(url){var xhr=new XMLHttpRequest;xhr.open(\"GET\",url,false);xhr.responseType=\"arraybuffer\";xhr.send(null);return new Uint8Array(xhr.response)}}readAsync=function readAsync(url,onload,onerror){var xhr=new XMLHttpRequest;xhr.open(\"GET\",url,true);xhr.responseType=\"arraybuffer\";xhr.onload=function xhr_onload(){if(xhr.status==200||xhr.status==0&&xhr.response){onload(xhr.response);return}onerror()};xhr.onerror=onerror;xhr.send(null)}}setWindowTitle=function(title){document.title=title}}else{}if(ENVIRONMENT_IS_NODE){if(typeof performance===\"undefined\"){performance=require(\"perf_hooks\").performance}}var out=Module[\"print\"]||console.log.bind(console);var err=Module[\"printErr\"]||console.warn.bind(console);for(key in moduleOverrides){if(moduleOverrides.hasOwnProperty(key)){Module[key]=moduleOverrides[key]}}moduleOverrides=null;if(Module[\"arguments\"])arguments_=Module[\"arguments\"];if(Module[\"thisProgram\"])thisProgram=Module[\"thisProgram\"];if(Module[\"quit\"])quit_=Module[\"quit\"];var Atomics_load=Atomics.load;var Atomics_store=Atomics.store;var Atomics_compareExchange=Atomics.compareExchange;var wasmBinary;if(Module[\"wasmBinary\"])wasmBinary=Module[\"wasmBinary\"];var noExitRuntime;if(Module[\"noExitRuntime\"])noExitRuntime=Module[\"noExitRuntime\"];if(typeof WebAssembly!==\"object\"){err(\"no native wasm support detected\")}var wasmMemory;var wasmTable=new WebAssembly.Table({\"initial\":171,\"maximum\":171+0,\"element\":\"anyfunc\"});var wasmModule;var threadInfoStruct=0;var selfThreadId=0;var ABORT=false;var EXITSTATUS=0;function assert(condition,text){if(!condition){abort(\"Assertion failed: \"+text)}}function getCFunc(ident){var func=Module[\"_\"+ident];assert(func,\"Cannot call unknown function \"+ident+\", make sure it is exported\");return func}function ccall(ident,returnType,argTypes,args,opts){var toC={\"string\":function(str){var ret=0;if(str!==null&&str!==undefined&&str!==0){var len=(str.length<<2)+1;ret=stackAlloc(len);stringToUTF8(str,ret,len)}return ret},\"array\":function(arr){var ret=stackAlloc(arr.length);writeArrayToMemory(arr,ret);return ret}};function convertReturnValue(ret){if(returnType===\"string\")return UTF8ToString(ret);if(returnType===\"boolean\")return Boolean(ret);return ret}var func=getCFunc(ident);var cArgs=[];var stack=0;if(args){for(var i=0;i=endIdx)){var u0=heap[idx++];if(!u0)return str;if(!(u0&128)){str+=String.fromCharCode(u0);continue}var u1=heap[idx++]&63;if((u0&224)==192){str+=String.fromCharCode((u0&31)<<6|u1);continue}var u2=heap[idx++]&63;if((u0&240)==224){u0=(u0&15)<<12|u1<<6|u2}else{u0=(u0&7)<<18|u1<<12|u2<<6|heap[idx++]&63}if(u0<65536){str+=String.fromCharCode(u0)}else{var ch=u0-65536;str+=String.fromCharCode(55296|ch>>10,56320|ch&1023)}}return str}function UTF8ToString(ptr,maxBytesToRead){return ptr?UTF8ArrayToString(GROWABLE_HEAP_U8(),ptr,maxBytesToRead):\"\"}function stringToUTF8Array(str,heap,outIdx,maxBytesToWrite){if(!(maxBytesToWrite>0))return 0;var startIdx=outIdx;var 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alignUp(x,multiple){if(x%multiple>0){x+=multiple-x%multiple}return x}var buffer,HEAP8,HEAPU8,HEAP16,HEAPU16,HEAP32,HEAPU32,HEAPF32,HEAPF64;function updateGlobalBufferAndViews(buf){buffer=buf;Module[\"HEAP8\"]=HEAP8=new Int8Array(buf);Module[\"HEAP16\"]=HEAP16=new Int16Array(buf);Module[\"HEAP32\"]=HEAP32=new Int32Array(buf);Module[\"HEAPU8\"]=HEAPU8=new Uint8Array(buf);Module[\"HEAPU16\"]=HEAPU16=new Uint16Array(buf);Module[\"HEAPU32\"]=HEAPU32=new Uint32Array(buf);Module[\"HEAPF32\"]=HEAPF32=new Float32Array(buf);Module[\"HEAPF64\"]=HEAPF64=new Float64Array(buf)}var STACK_BASE=5256464,STACKTOP=STACK_BASE,STACK_MAX=13584,DYNAMIC_BASE=5256464,DYNAMICTOP_PTR=12656;if(ENVIRONMENT_IS_PTHREAD){}var INITIAL_INITIAL_MEMORY=Module[\"INITIAL_MEMORY\"]||16777216;if(ENVIRONMENT_IS_PTHREAD){wasmMemory=Module[\"wasmMemory\"];buffer=Module[\"buffer\"]}else{if(Module[\"wasmMemory\"]){wasmMemory=Module[\"wasmMemory\"]}else{wasmMemory=new WebAssembly.Memory({\"initial\":INITIAL_INITIAL_MEMORY/WASM_PAGE_SIZE,\"maximum\":2147483648/WASM_PAGE_SIZE,\"shared\":true});if(!(wasmMemory.buffer instanceof SharedArrayBuffer)){err(\"requested a shared WebAssembly.Memory but the returned buffer is not a SharedArrayBuffer, indicating that while the browser has SharedArrayBuffer it does not have WebAssembly threads support - you may need to set a flag\");if(ENVIRONMENT_IS_NODE){console.log(\"(on node you may need: --experimental-wasm-threads --experimental-wasm-bulk-memory and also use a recent version)\")}throw Error(\"bad memory\")}}}if(wasmMemory){buffer=wasmMemory.buffer}INITIAL_INITIAL_MEMORY=buffer.byteLength;updateGlobalBufferAndViews(buffer);if(!ENVIRONMENT_IS_PTHREAD){GROWABLE_HEAP_I32()[DYNAMICTOP_PTR>>2]=DYNAMIC_BASE}function callRuntimeCallbacks(callbacks){while(callbacks.length>0){var callback=callbacks.shift();if(typeof callback==\"function\"){callback(Module);continue}var func=callback.func;if(typeof func===\"number\"){if(callback.arg===undefined){Module[\"dynCall_v\"](func)}else{Module[\"dynCall_vi\"](func,callback.arg)}}else{func(callback.arg===undefined?null:callback.arg)}}}var __ATPRERUN__=[];var __ATINIT__=[];var __ATMAIN__=[];var __ATEXIT__=[];var __ATPOSTRUN__=[];var runtimeInitialized=false;if(ENVIRONMENT_IS_PTHREAD)runtimeInitialized=true;function preRun(){if(ENVIRONMENT_IS_PTHREAD)return;if(Module[\"preRun\"]){if(typeof Module[\"preRun\"]==\"function\")Module[\"preRun\"]=[Module[\"preRun\"]];while(Module[\"preRun\"].length){addOnPreRun(Module[\"preRun\"].shift())}}callRuntimeCallbacks(__ATPRERUN__)}function initRuntime(){runtimeInitialized=true;callRuntimeCallbacks(__ATINIT__)}function preMain(){if(ENVIRONMENT_IS_PTHREAD)return;callRuntimeCallbacks(__ATMAIN__)}function postRun(){if(ENVIRONMENT_IS_PTHREAD)return;if(Module[\"postRun\"]){if(typeof Module[\"postRun\"]==\"function\")Module[\"postRun\"]=[Module[\"postRun\"]];while(Module[\"postRun\"].length){addOnPostRun(Module[\"postRun\"].shift())}}callRuntimeCallbacks(__ATPOSTRUN__)}function addOnPreRun(cb){__ATPRERUN__.unshift(cb)}function addOnPostRun(cb){__ATPOSTRUN__.unshift(cb)}var Math_ceil=Math.ceil;var Math_floor=Math.floor;var runDependencies=0;var runDependencyWatcher=null;var dependenciesFulfilled=null;function addRunDependency(id){assert(!ENVIRONMENT_IS_PTHREAD,\"addRunDependency cannot be used in a pthread worker\");runDependencies++;if(Module[\"monitorRunDependencies\"]){Module[\"monitorRunDependencies\"](runDependencies)}}function removeRunDependency(id){runDependencies--;if(Module[\"monitorRunDependencies\"]){Module[\"monitorRunDependencies\"](runDependencies)}if(runDependencies==0){if(runDependencyWatcher!==null){clearInterval(runDependencyWatcher);runDependencyWatcher=null}if(dependenciesFulfilled){var callback=dependenciesFulfilled;dependenciesFulfilled=null;callback()}}}Module[\"preloadedImages\"]={};Module[\"preloadedAudios\"]={};function abort(what){if(Module[\"onAbort\"]){Module[\"onAbort\"](what)}if(ENVIRONMENT_IS_PTHREAD)console.error(\"Pthread aborting at \"+(new Error).stack);what+=\"\";out(what);err(what);ABORT=true;EXITSTATUS=1;what=\"abort(\"+what+\"). Build with -s ASSERTIONS=1 for more info.\";throw new WebAssembly.RuntimeError(what)}function hasPrefix(str,prefix){return String.prototype.startsWith?str.startsWith(prefix):str.indexOf(prefix)===0}var dataURIPrefix=\"data:application/octet-stream;base64,\";function isDataURI(filename){return hasPrefix(filename,dataURIPrefix)}var fileURIPrefix=\"file://\";function isFileURI(filename){return hasPrefix(filename,fileURIPrefix)}var wasmBinaryFile=\"tfjs-backend-wasm-threaded-simd.wasm\";if(!isDataURI(wasmBinaryFile)){wasmBinaryFile=locateFile(wasmBinaryFile)}function getBinary(){try{if(wasmBinary){return new Uint8Array(wasmBinary)}if(readBinary){return readBinary(wasmBinaryFile)}else{throw\"both async and sync fetching of the wasm failed\"}}catch(err){abort(err)}}function getBinaryPromise(){if(!wasmBinary&&(ENVIRONMENT_IS_WEB||ENVIRONMENT_IS_WORKER)&&typeof fetch===\"function\"&&!isFileURI(wasmBinaryFile)){return fetch(wasmBinaryFile,{credentials:\"same-origin\"}).then(function(response){if(!response[\"ok\"]){throw\"failed to load wasm binary file at '\"+wasmBinaryFile+\"'\"}return response[\"arrayBuffer\"]()}).catch(function(){return getBinary()})}return new Promise(function(resolve,reject){resolve(getBinary())})}function createWasm(){var info={\"a\":asmLibraryArg};function receiveInstance(instance,module){var exports=instance.exports;Module[\"asm\"]=exports;wasmModule=module;if(!ENVIRONMENT_IS_PTHREAD){var numWorkersToLoad=PThread.unusedWorkers.length;PThread.unusedWorkers.forEach(function(w){PThread.loadWasmModuleToWorker(w,function(){if(!--numWorkersToLoad)removeRunDependency(\"wasm-instantiate\")})})}}if(!ENVIRONMENT_IS_PTHREAD){addRunDependency(\"wasm-instantiate\")}function receiveInstantiatedSource(output){receiveInstance(output[\"instance\"],output[\"module\"])}function instantiateArrayBuffer(receiver){return getBinaryPromise().then(function(binary){return WebAssembly.instantiate(binary,info)}).then(receiver,function(reason){err(\"failed to asynchronously prepare wasm: \"+reason);abort(reason)})}function instantiateAsync(){if(!wasmBinary&&typeof WebAssembly.instantiateStreaming===\"function\"&&!isDataURI(wasmBinaryFile)&&!isFileURI(wasmBinaryFile)&&typeof fetch===\"function\"){fetch(wasmBinaryFile,{credentials:\"same-origin\"}).then(function(response){var result=WebAssembly.instantiateStreaming(response,info);return result.then(receiveInstantiatedSource,function(reason){err(\"wasm streaming compile failed: \"+reason);err(\"falling back to ArrayBuffer instantiation\");instantiateArrayBuffer(receiveInstantiatedSource)})})}else{return instantiateArrayBuffer(receiveInstantiatedSource)}}if(Module[\"instantiateWasm\"]){try{var exports=Module[\"instantiateWasm\"](info,receiveInstance);return exports}catch(e){err(\"Module.instantiateWasm callback failed with error: \"+e);return false}}instantiateAsync();return{}}var ASM_CONSTS={};function initPthreadsJS(){PThread.initRuntime()}if(!ENVIRONMENT_IS_PTHREAD)__ATINIT__.push({func:function(){___wasm_call_ctors()}});var __pthread_ptr=0;var __pthread_is_main_runtime_thread=0;var __pthread_is_main_browser_thread=0;function __register_pthread_ptr(pthreadPtr,isMainBrowserThread,isMainRuntimeThread){pthreadPtr=pthreadPtr|0;isMainBrowserThread=isMainBrowserThread|0;isMainRuntimeThread=isMainRuntimeThread|0;__pthread_ptr=pthreadPtr;__pthread_is_main_browser_thread=isMainBrowserThread;__pthread_is_main_runtime_thread=isMainRuntimeThread}Module[\"__register_pthread_ptr\"]=__register_pthread_ptr;var ERRNO_CODES={EPERM:63,ENOENT:44,ESRCH:71,EINTR:27,EIO:29,ENXIO:60,E2BIG:1,ENOEXEC:45,EBADF:8,ECHILD:12,EAGAIN:6,EWOULDBLOCK:6,ENOMEM:48,EACCES:2,EFAULT:21,ENOTBLK:105,EBUSY:10,EEXIST:20,EXDEV:75,ENODEV:43,ENOTDIR:54,EISDIR:31,EINVAL:28,ENFILE:41,EMFILE:33,ENOTTY:59,ETXTBSY:74,EFBIG:22,ENOSPC:51,ESPIPE:70,EROFS:69,EMLINK:34,EPIPE:64,EDOM:18,ERANGE:68,ENOMSG:49,EIDRM:24,ECHRNG:106,EL2NSYNC:156,EL3HLT:107,EL3RST:108,ELNRNG:109,EUNATCH:110,ENOCSI:111,EL2HLT:112,EDEADLK:16,ENOLCK:46,EBADE:113,EBADR:114,EXFULL:115,ENOANO:104,EBADRQC:103,EBADSLT:102,EDEADLOCK:16,EBFONT:101,ENOSTR:100,ENODATA:116,ETIME:117,ENOSR:118,ENONET:119,ENOPKG:120,EREMOTE:121,ENOLINK:47,EADV:122,ESRMNT:123,ECOMM:124,EPROTO:65,EMULTIHOP:36,EDOTDOT:125,EBADMSG:9,ENOTUNIQ:126,EBADFD:127,EREMCHG:128,ELIBACC:129,ELIBBAD:130,ELIBSCN:131,ELIBMAX:132,ELIBEXEC:133,ENOSYS:52,ENOTEMPTY:55,ENAMETOOLONG:37,ELOOP:32,EOPNOTSUPP:138,EPFNOSUPPORT:139,ECONNRESET:15,ENOBUFS:42,EAFNOSUPPORT:5,EPROTOTYPE:67,ENOTSOCK:57,ENOPROTOOPT:50,ESHUTDOWN:140,ECONNREFUSED:14,EADDRINUSE:3,ECONNABORTED:13,ENETUNREACH:40,ENETDOWN:38,ETIMEDOUT:73,EHOSTDOWN:142,EHOSTUNREACH:23,EINPROGRESS:26,EALREADY:7,EDESTADDRREQ:17,EMSGSIZE:35,EPROTONOSUPPORT:66,ESOCKTNOSUPPORT:137,EADDRNOTAVAIL:4,ENETRESET:39,EISCONN:30,ENOTCONN:53,ETOOMANYREFS:141,EUSERS:136,EDQUOT:19,ESTALE:72,ENOTSUP:138,ENOMEDIUM:148,EILSEQ:25,EOVERFLOW:61,ECANCELED:11,ENOTRECOVERABLE:56,EOWNERDEAD:62,ESTRPIPE:135};var __main_thread_futex_wait_address=13568;function _emscripten_futex_wake(addr,count){if(addr<=0||addr>GROWABLE_HEAP_I8().length||addr&3!=0||count<0)return-28;if(count==0)return 0;if(count>=2147483647)count=Infinity;var mainThreadWaitAddress=Atomics.load(GROWABLE_HEAP_I32(),__main_thread_futex_wait_address>>2);var mainThreadWoken=0;if(mainThreadWaitAddress==addr){var loadedAddr=Atomics.compareExchange(GROWABLE_HEAP_I32(),__main_thread_futex_wait_address>>2,mainThreadWaitAddress,0);if(loadedAddr==mainThreadWaitAddress){--count;mainThreadWoken=1;if(count<=0)return 1}}var ret=Atomics.notify(GROWABLE_HEAP_I32(),addr>>2,count);if(ret>=0)return ret+mainThreadWoken;throw\"Atomics.notify returned an unexpected value \"+ret}Module[\"_emscripten_futex_wake\"]=_emscripten_futex_wake;function __kill_thread(pthread_ptr){if(ENVIRONMENT_IS_PTHREAD)throw\"Internal Error! _kill_thread() can only ever be called from main application thread!\";if(!pthread_ptr)throw\"Internal Error! Null pthread_ptr in _kill_thread!\";GROWABLE_HEAP_I32()[pthread_ptr+12>>2]=0;var pthread=PThread.pthreads[pthread_ptr];pthread.worker.terminate();PThread.freeThreadData(pthread);PThread.runningWorkers.splice(PThread.runningWorkers.indexOf(pthread.worker),1);pthread.worker.pthread=undefined}function __cancel_thread(pthread_ptr){if(ENVIRONMENT_IS_PTHREAD)throw\"Internal Error! _cancel_thread() can only ever be called from main application thread!\";if(!pthread_ptr)throw\"Internal Error! Null pthread_ptr in _cancel_thread!\";var pthread=PThread.pthreads[pthread_ptr];pthread.worker.postMessage({\"cmd\":\"cancel\"})}function __cleanup_thread(pthread_ptr){if(ENVIRONMENT_IS_PTHREAD)throw\"Internal Error! _cleanup_thread() can only ever be called from main application thread!\";if(!pthread_ptr)throw\"Internal Error! Null pthread_ptr in _cleanup_thread!\";GROWABLE_HEAP_I32()[pthread_ptr+12>>2]=0;var pthread=PThread.pthreads[pthread_ptr];if(pthread){var worker=pthread.worker;PThread.returnWorkerToPool(worker)}}var PThread={MAIN_THREAD_ID:1,mainThreadInfo:{schedPolicy:0,schedPrio:0},unusedWorkers:[],runningWorkers:[],initRuntime:function(){__register_pthread_ptr(PThread.mainThreadBlock,!ENVIRONMENT_IS_WORKER,1);_emscripten_register_main_browser_thread_id(PThread.mainThreadBlock)},initMainThreadBlock:function(){var pthreadPoolSize=8;for(var i=0;i>2]=PThread.mainThreadBlock;var headPtr=PThread.mainThreadBlock+156;GROWABLE_HEAP_I32()[headPtr>>2]=headPtr;var tlsMemory=13056;for(var i=0;i<128;++i)GROWABLE_HEAP_U32()[tlsMemory/4+i]=0;Atomics.store(GROWABLE_HEAP_U32(),PThread.mainThreadBlock+104>>2,tlsMemory);Atomics.store(GROWABLE_HEAP_U32(),PThread.mainThreadBlock+40>>2,PThread.mainThreadBlock);Atomics.store(GROWABLE_HEAP_U32(),PThread.mainThreadBlock+44>>2,42)},initWorker:function(){},pthreads:{},exitHandlers:null,setThreadStatus:function(){},runExitHandlers:function(){if(PThread.exitHandlers!==null){while(PThread.exitHandlers.length>0){PThread.exitHandlers.pop()()}PThread.exitHandlers=null}if(ENVIRONMENT_IS_PTHREAD&&threadInfoStruct)___pthread_tsd_run_dtors()},threadExit:function(exitCode){var tb=_pthread_self();if(tb){Atomics.store(GROWABLE_HEAP_U32(),tb+4>>2,exitCode);Atomics.store(GROWABLE_HEAP_U32(),tb+0>>2,1);Atomics.store(GROWABLE_HEAP_U32(),tb+60>>2,1);Atomics.store(GROWABLE_HEAP_U32(),tb+64>>2,0);PThread.runExitHandlers();_emscripten_futex_wake(tb+0,2147483647);__register_pthread_ptr(0,0,0);threadInfoStruct=0;if(ENVIRONMENT_IS_PTHREAD){postMessage({\"cmd\":\"exit\"})}}},threadCancel:function(){PThread.runExitHandlers();Atomics.store(GROWABLE_HEAP_U32(),threadInfoStruct+4>>2,-1);Atomics.store(GROWABLE_HEAP_U32(),threadInfoStruct+0>>2,1);_emscripten_futex_wake(threadInfoStruct+0,2147483647);threadInfoStruct=selfThreadId=0;__register_pthread_ptr(0,0,0);postMessage({\"cmd\":\"cancelDone\"})},terminateAllThreads:function(){for(var t in PThread.pthreads){var pthread=PThread.pthreads[t];if(pthread&&pthread.worker){PThread.returnWorkerToPool(pthread.worker)}}PThread.pthreads={};for(var i=0;i>2];GROWABLE_HEAP_I32()[pthread.threadInfoStruct+104>>2]=0;_free(tlsMemory);_free(pthread.threadInfoStruct)}pthread.threadInfoStruct=0;if(pthread.allocatedOwnStack&&pthread.stackBase)_free(pthread.stackBase);pthread.stackBase=0;if(pthread.worker)pthread.worker.pthread=null},returnWorkerToPool:function(worker){delete PThread.pthreads[worker.pthread.thread];PThread.unusedWorkers.push(worker);PThread.runningWorkers.splice(PThread.runningWorkers.indexOf(worker),1);PThread.freeThreadData(worker.pthread);worker.pthread=undefined},receiveObjectTransfer:function(data){},loadWasmModuleToWorker:function(worker,onFinishedLoading){worker.onmessage=function(e){var d=e[\"data\"];var cmd=d[\"cmd\"];if(worker.pthread)PThread.currentProxiedOperationCallerThread=worker.pthread.threadInfoStruct;if(d[\"targetThread\"]&&d[\"targetThread\"]!=_pthread_self()){var thread=PThread.pthreads[d.targetThread];if(thread){thread.worker.postMessage(e.data,d[\"transferList\"])}else{console.error('Internal error! Worker sent a message \"'+cmd+'\" to target pthread '+d[\"targetThread\"]+\", but that thread no longer exists!\")}PThread.currentProxiedOperationCallerThread=undefined;return}if(cmd===\"processQueuedMainThreadWork\"){_emscripten_main_thread_process_queued_calls()}else if(cmd===\"spawnThread\"){__spawn_thread(e.data)}else if(cmd===\"cleanupThread\"){__cleanup_thread(d[\"thread\"])}else if(cmd===\"killThread\"){__kill_thread(d[\"thread\"])}else if(cmd===\"cancelThread\"){__cancel_thread(d[\"thread\"])}else if(cmd===\"loaded\"){worker.loaded=true;if(onFinishedLoading)onFinishedLoading(worker);if(worker.runPthread){worker.runPthread();delete worker.runPthread}}else if(cmd===\"print\"){out(\"Thread \"+d[\"threadId\"]+\": \"+d[\"text\"])}else if(cmd===\"printErr\"){err(\"Thread \"+d[\"threadId\"]+\": \"+d[\"text\"])}else if(cmd===\"alert\"){alert(\"Thread \"+d[\"threadId\"]+\": \"+d[\"text\"])}else if(cmd===\"exit\"){var detached=worker.pthread&&Atomics.load(GROWABLE_HEAP_U32(),worker.pthread.thread+68>>2);if(detached){PThread.returnWorkerToPool(worker)}}else if(cmd===\"cancelDone\"){PThread.returnWorkerToPool(worker)}else if(cmd===\"objectTransfer\"){PThread.receiveObjectTransfer(e.data)}else if(e.data.target===\"setimmediate\"){worker.postMessage(e.data)}else{err(\"worker sent an unknown command \"+cmd)}PThread.currentProxiedOperationCallerThread=undefined};worker.onerror=function(e){err(\"pthread sent an error! \"+e.filename+\":\"+e.lineno+\": \"+e.message)};if(ENVIRONMENT_IS_NODE){worker.on(\"message\",function(data){worker.onmessage({data:data})});worker.on(\"error\",function(data){worker.onerror(data)});worker.on(\"exit\",function(data){console.log(\"worker exited - TODO: update the worker queue?\")})}worker.postMessage({\"cmd\":\"load\",\"urlOrBlob\":Module[\"mainScriptUrlOrBlob\"]||_scriptDir,\"wasmMemory\":wasmMemory,\"wasmModule\":wasmModule,\"DYNAMIC_BASE\":DYNAMIC_BASE,\"DYNAMICTOP_PTR\":DYNAMICTOP_PTR})},allocateUnusedWorker:function(){var pthreadMainJs=locateFile(\"tfjs-backend-wasm-threaded-simd.worker.js\");PThread.unusedWorkers.push(new Worker(pthreadMainJs))},getNewWorker:function(){if(PThread.unusedWorkers.length==0){PThread.allocateUnusedWorker();PThread.loadWasmModuleToWorker(PThread.unusedWorkers[0])}if(PThread.unusedWorkers.length>0)return PThread.unusedWorkers.pop();else return null},busySpinWait:function(msecs){var t=performance.now()+msecs;while(performance.now()>2]=value;return value}function _atexit(func,arg){if(ENVIRONMENT_IS_PTHREAD)return _emscripten_proxy_to_main_thread_js(1,1,func,arg);__ATEXIT__.unshift({func:func,arg:arg})}function __emscripten_notify_thread_queue(targetThreadId,mainThreadId){if(targetThreadId==mainThreadId){postMessage({\"cmd\":\"processQueuedMainThreadWork\"})}else if(ENVIRONMENT_IS_PTHREAD){postMessage({\"targetThread\":targetThreadId,\"cmd\":\"processThreadQueue\"})}else{var pthread=PThread.pthreads[targetThreadId];var worker=pthread&&pthread.worker;if(!worker){return}worker.postMessage({\"cmd\":\"processThreadQueue\"})}return 1}function _abort(){abort()}function _emscripten_conditional_set_current_thread_status(expectedStatus,newStatus){expectedStatus=expectedStatus|0;newStatus=newStatus|0}function _emscripten_futex_wait(addr,val,timeout){if(addr<=0||addr>GROWABLE_HEAP_I8().length||addr&3!=0)return-28;if(ENVIRONMENT_IS_WORKER){var ret=Atomics.wait(GROWABLE_HEAP_I32(),addr>>2,val,timeout);if(ret===\"timed-out\")return-73;if(ret===\"not-equal\")return-6;if(ret===\"ok\")return 0;throw\"Atomics.wait returned an unexpected value \"+ret}else{var loadedVal=Atomics.load(GROWABLE_HEAP_I32(),addr>>2);if(val!=loadedVal)return-6;var tNow=performance.now();var tEnd=tNow+timeout;Atomics.store(GROWABLE_HEAP_I32(),__main_thread_futex_wait_address>>2,addr);var ourWaitAddress=addr;while(addr==ourWaitAddress){tNow=performance.now();if(tNow>tEnd){return-73}_emscripten_main_thread_process_queued_calls();addr=Atomics.load(GROWABLE_HEAP_I32(),__main_thread_futex_wait_address>>2)}return 0}}function _emscripten_is_main_browser_thread(){return __pthread_is_main_browser_thread|0}function _emscripten_is_main_runtime_thread(){return __pthread_is_main_runtime_thread|0}function _emscripten_memcpy_big(dest,src,num){GROWABLE_HEAP_U8().copyWithin(dest,src,src+num)}function _emscripten_num_logical_cores(){return navigator[\"hardwareConcurrency\"]}function _emscripten_proxy_to_main_thread_js(index,sync){var numCallArgs=arguments.length-2;var stack=stackSave();var args=stackAlloc(numCallArgs*8);var b=args>>3;for(var i=0;i>3]);buf+=8}else{buf=buf+3&~3;args.push(GROWABLE_HEAP_I32()[buf>>2]);buf+=4}}return args}function _emscripten_receive_on_main_thread_js(index,numCallArgs,args){_emscripten_receive_on_main_thread_js_callArgs.length=numCallArgs;var b=args>>3;for(var i=0;i>>16);updateGlobalBufferAndViews(wasmMemory.buffer);return 1}catch(e){}}function _emscripten_resize_heap(requestedSize){requestedSize=requestedSize>>>0;var oldSize=_emscripten_get_heap_size();if(requestedSize<=oldSize){return false}var PAGE_MULTIPLE=65536;var maxHeapSize=2147483648;if(requestedSize>maxHeapSize){return false}var minHeapSize=16777216;for(var cutDown=1;cutDown<=4;cutDown*=2){var overGrownHeapSize=oldSize*(1+.2/cutDown);overGrownHeapSize=Math.min(overGrownHeapSize,requestedSize+100663296);var newSize=Math.min(maxHeapSize,alignUp(Math.max(minHeapSize,requestedSize,overGrownHeapSize),PAGE_MULTIPLE));var replacement=emscripten_realloc_buffer(newSize);if(replacement){return true}}return false}var JSEvents={keyEvent:0,mouseEvent:0,wheelEvent:0,uiEvent:0,focusEvent:0,deviceOrientationEvent:0,deviceMotionEvent:0,fullscreenChangeEvent:0,pointerlockChangeEvent:0,visibilityChangeEvent:0,touchEvent:0,previousFullscreenElement:null,previousScreenX:null,previousScreenY:null,removeEventListenersRegistered:false,removeAllEventListeners:function(){for(var i=JSEvents.eventHandlers.length-1;i>=0;--i){JSEvents._removeHandler(i)}JSEvents.eventHandlers=[];JSEvents.deferredCalls=[]},registerRemoveEventListeners:function(){if(!JSEvents.removeEventListenersRegistered){__ATEXIT__.push(JSEvents.removeAllEventListeners);JSEvents.removeEventListenersRegistered=true}},deferredCalls:[],deferCall:function(targetFunction,precedence,argsList){function arraysHaveEqualContent(arrA,arrB){if(arrA.length!=arrB.length)return false;for(var i in arrA){if(arrA[i]!=arrB[i])return false}return true}for(var i in JSEvents.deferredCalls){var call=JSEvents.deferredCalls[i];if(call.targetFunction==targetFunction&&arraysHaveEqualContent(call.argsList,argsList)){return}}JSEvents.deferredCalls.push({targetFunction:targetFunction,precedence:precedence,argsList:argsList});JSEvents.deferredCalls.sort(function(x,y){return x.precedence>2]=eventTypeId;GROWABLE_HEAP_I32()[varargs+4>>2]=eventData;GROWABLE_HEAP_I32()[varargs+8>>2]=userData;_emscripten_async_queue_on_thread_(targetThread,637534208,eventHandlerFunc,eventData,varargs);stackRestore(stackTop)},getTargetThreadForEventCallback:function(targetThread){switch(targetThread){case 1:return 0;case 2:return PThread.currentProxiedOperationCallerThread;default:return targetThread}},getNodeNameForTarget:function(target){if(!target)return\"\";if(target==window)return\"#window\";if(target==screen)return\"#screen\";return target&&target.nodeName?target.nodeName:\"\"},fullscreenEnabled:function(){return document.fullscreenEnabled||document.webkitFullscreenEnabled}};function stringToNewUTF8(jsString){var length=lengthBytesUTF8(jsString)+1;var cString=_malloc(length);stringToUTF8(jsString,cString,length);return cString}function _emscripten_set_offscreencanvas_size_on_target_thread_js(targetThread,targetCanvas,width,height){var stackTop=stackSave();var varargs=stackAlloc(12);var targetCanvasPtr=0;if(targetCanvas){targetCanvasPtr=stringToNewUTF8(targetCanvas)}GROWABLE_HEAP_I32()[varargs>>2]=targetCanvasPtr;GROWABLE_HEAP_I32()[varargs+4>>2]=width;GROWABLE_HEAP_I32()[varargs+8>>2]=height;_emscripten_async_queue_on_thread_(targetThread,657457152,0,targetCanvasPtr,varargs);stackRestore(stackTop)}function _emscripten_set_offscreencanvas_size_on_target_thread(targetThread,targetCanvas,width,height){targetCanvas=targetCanvas?UTF8ToString(targetCanvas):\"\";_emscripten_set_offscreencanvas_size_on_target_thread_js(targetThread,targetCanvas,width,height)}function __maybeCStringToJsString(cString){return cString>2?UTF8ToString(cString):cString}var specialHTMLTargets=[0,typeof document!==\"undefined\"?document:0,typeof window!==\"undefined\"?window:0];function __findEventTarget(target){target=__maybeCStringToJsString(target);var domElement=specialHTMLTargets[target]||(typeof document!==\"undefined\"?document.querySelector(target):undefined);return domElement}function __findCanvasEventTarget(target){return __findEventTarget(target)}function _emscripten_set_canvas_element_size_calling_thread(target,width,height){var canvas=__findCanvasEventTarget(target);if(!canvas)return-4;if(canvas.canvasSharedPtr){GROWABLE_HEAP_I32()[canvas.canvasSharedPtr>>2]=width;GROWABLE_HEAP_I32()[canvas.canvasSharedPtr+4>>2]=height}if(canvas.offscreenCanvas||!canvas.controlTransferredOffscreen){if(canvas.offscreenCanvas)canvas=canvas.offscreenCanvas;var autoResizeViewport=false;if(canvas.GLctxObject&&canvas.GLctxObject.GLctx){var prevViewport=canvas.GLctxObject.GLctx.getParameter(2978);autoResizeViewport=prevViewport[0]===0&&prevViewport[1]===0&&prevViewport[2]===canvas.width&&prevViewport[3]===canvas.height}canvas.width=width;canvas.height=height;if(autoResizeViewport){canvas.GLctxObject.GLctx.viewport(0,0,width,height)}}else if(canvas.canvasSharedPtr){var targetThread=GROWABLE_HEAP_I32()[canvas.canvasSharedPtr+8>>2];_emscripten_set_offscreencanvas_size_on_target_thread(targetThread,target,width,height);return 1}else{return-4}return 0}function _emscripten_set_canvas_element_size_main_thread(target,width,height){if(ENVIRONMENT_IS_PTHREAD)return _emscripten_proxy_to_main_thread_js(2,1,target,width,height);return _emscripten_set_canvas_element_size_calling_thread(target,width,height)}function _emscripten_set_canvas_element_size(target,width,height){var canvas=__findCanvasEventTarget(target);if(canvas){return _emscripten_set_canvas_element_size_calling_thread(target,width,height)}else{return _emscripten_set_canvas_element_size_main_thread(target,width,height)}}function _emscripten_set_current_thread_status(newStatus){newStatus=newStatus|0}function _emscripten_set_thread_name(threadId,name){threadId=threadId|0;name=name|0}function __webgl_enable_ANGLE_instanced_arrays(ctx){var ext=ctx.getExtension(\"ANGLE_instanced_arrays\");if(ext){ctx[\"vertexAttribDivisor\"]=function(index,divisor){ext[\"vertexAttribDivisorANGLE\"](index,divisor)};ctx[\"drawArraysInstanced\"]=function(mode,first,count,primcount){ext[\"drawArraysInstancedANGLE\"](mode,first,count,primcount)};ctx[\"drawElementsInstanced\"]=function(mode,count,type,indices,primcount){ext[\"drawElementsInstancedANGLE\"](mode,count,type,indices,primcount)};return 1}}function __webgl_enable_OES_vertex_array_object(ctx){var ext=ctx.getExtension(\"OES_vertex_array_object\");if(ext){ctx[\"createVertexArray\"]=function(){return ext[\"createVertexArrayOES\"]()};ctx[\"deleteVertexArray\"]=function(vao){ext[\"deleteVertexArrayOES\"](vao)};ctx[\"bindVertexArray\"]=function(vao){ext[\"bindVertexArrayOES\"](vao)};ctx[\"isVertexArray\"]=function(vao){return ext[\"isVertexArrayOES\"](vao)};return 1}}function __webgl_enable_WEBGL_draw_buffers(ctx){var ext=ctx.getExtension(\"WEBGL_draw_buffers\");if(ext){ctx[\"drawBuffers\"]=function(n,bufs){ext[\"drawBuffersWEBGL\"](n,bufs)};return 1}}var GL={counter:1,lastError:0,buffers:[],mappedBuffers:{},programs:[],framebuffers:[],renderbuffers:[],textures:[],uniforms:[],shaders:[],vaos:[],contexts:{},currentContext:null,offscreenCanvases:{},timerQueriesEXT:[],programInfos:{},stringCache:{},unpackAlignment:4,init:function(){var miniTempFloatBuffer=new Float32Array(GL.MINI_TEMP_BUFFER_SIZE);for(var i=0;i>2]:-1;source+=UTF8ToString(GROWABLE_HEAP_I32()[string+i*4>>2],len<0?undefined:len)}return source},createContext:function(canvas,webGLContextAttributes){var ctx=canvas.getContext(\"webgl\",webGLContextAttributes);if(!ctx)return 0;var handle=GL.registerContext(ctx,webGLContextAttributes);return handle},registerContext:function(ctx,webGLContextAttributes){var handle=_malloc(8);GROWABLE_HEAP_I32()[handle+4>>2]=_pthread_self();var context={handle:handle,attributes:webGLContextAttributes,version:webGLContextAttributes.majorVersion,GLctx:ctx};if(ctx.canvas)ctx.canvas.GLctxObject=context;GL.contexts[handle]=context;if(typeof webGLContextAttributes.enableExtensionsByDefault===\"undefined\"||webGLContextAttributes.enableExtensionsByDefault){GL.initExtensions(context)}return handle},makeContextCurrent:function(contextHandle){GL.currentContext=GL.contexts[contextHandle];Module.ctx=GLctx=GL.currentContext&&GL.currentContext.GLctx;return!(contextHandle&&!GLctx)},getContext:function(contextHandle){return GL.contexts[contextHandle]},deleteContext:function(contextHandle){if(GL.currentContext===GL.contexts[contextHandle])GL.currentContext=null;if(typeof JSEvents===\"object\")JSEvents.removeAllHandlersOnTarget(GL.contexts[contextHandle].GLctx.canvas);if(GL.contexts[contextHandle]&&GL.contexts[contextHandle].GLctx.canvas)GL.contexts[contextHandle].GLctx.canvas.GLctxObject=undefined;_free(GL.contexts[contextHandle].handle);GL.contexts[contextHandle]=null},initExtensions:function(context){if(!context)context=GL.currentContext;if(context.initExtensionsDone)return;context.initExtensionsDone=true;var GLctx=context.GLctx;__webgl_enable_ANGLE_instanced_arrays(GLctx);__webgl_enable_OES_vertex_array_object(GLctx);__webgl_enable_WEBGL_draw_buffers(GLctx);GLctx.disjointTimerQueryExt=GLctx.getExtension(\"EXT_disjoint_timer_query\");var automaticallyEnabledExtensions=[\"OES_texture_float\",\"OES_texture_half_float\",\"OES_standard_derivatives\",\"OES_vertex_array_object\",\"WEBGL_compressed_texture_s3tc\",\"WEBGL_depth_texture\",\"OES_element_index_uint\",\"EXT_texture_filter_anisotropic\",\"EXT_frag_depth\",\"WEBGL_draw_buffers\",\"ANGLE_instanced_arrays\",\"OES_texture_float_linear\",\"OES_texture_half_float_linear\",\"EXT_blend_minmax\",\"EXT_shader_texture_lod\",\"EXT_texture_norm16\",\"WEBGL_compressed_texture_pvrtc\",\"EXT_color_buffer_half_float\",\"WEBGL_color_buffer_float\",\"EXT_sRGB\",\"WEBGL_compressed_texture_etc1\",\"EXT_disjoint_timer_query\",\"WEBGL_compressed_texture_etc\",\"WEBGL_compressed_texture_astc\",\"EXT_color_buffer_float\",\"WEBGL_compressed_texture_s3tc_srgb\",\"EXT_disjoint_timer_query_webgl2\",\"WEBKIT_WEBGL_compressed_texture_pvrtc\"];var exts=GLctx.getSupportedExtensions()||[];exts.forEach(function(ext){if(automaticallyEnabledExtensions.indexOf(ext)!=-1){GLctx.getExtension(ext)}})},populateUniformTable:function(program){var p=GL.programs[program];var ptable=GL.programInfos[program]={uniforms:{},maxUniformLength:0,maxAttributeLength:-1,maxUniformBlockNameLength:-1};var utable=ptable.uniforms;var numUniforms=GLctx.getProgramParameter(p,35718);for(var i=0;i>2;contextAttributes[\"alpha\"]=!!GROWABLE_HEAP_I32()[a+(0>>2)];contextAttributes[\"depth\"]=!!GROWABLE_HEAP_I32()[a+(4>>2)];contextAttributes[\"stencil\"]=!!GROWABLE_HEAP_I32()[a+(8>>2)];contextAttributes[\"antialias\"]=!!GROWABLE_HEAP_I32()[a+(12>>2)];contextAttributes[\"premultipliedAlpha\"]=!!GROWABLE_HEAP_I32()[a+(16>>2)];contextAttributes[\"preserveDrawingBuffer\"]=!!GROWABLE_HEAP_I32()[a+(20>>2)];var powerPreference=GROWABLE_HEAP_I32()[a+(24>>2)];contextAttributes[\"powerPreference\"]=__emscripten_webgl_power_preferences[powerPreference];contextAttributes[\"failIfMajorPerformanceCaveat\"]=!!GROWABLE_HEAP_I32()[a+(28>>2)];contextAttributes.majorVersion=GROWABLE_HEAP_I32()[a+(32>>2)];contextAttributes.minorVersion=GROWABLE_HEAP_I32()[a+(36>>2)];contextAttributes.enableExtensionsByDefault=GROWABLE_HEAP_I32()[a+(40>>2)];contextAttributes.explicitSwapControl=GROWABLE_HEAP_I32()[a+(44>>2)];contextAttributes.proxyContextToMainThread=GROWABLE_HEAP_I32()[a+(48>>2)];contextAttributes.renderViaOffscreenBackBuffer=GROWABLE_HEAP_I32()[a+(52>>2)];var canvas=__findCanvasEventTarget(target);if(!canvas){return-4}if(contextAttributes.explicitSwapControl){return-1}var contextHandle=GL.createContext(canvas,contextAttributes);return contextHandle}function _emscripten_webgl_create_context(a0,a1){return _emscripten_webgl_do_create_context(a0,a1)}var PATH={splitPath:function(filename){var splitPathRe=/^(\\/?|)([\\s\\S]*?)((?:\\.{1,2}|[^\\/]+?|)(\\.[^.\\/]*|))(?:[\\/]*)$/;return splitPathRe.exec(filename).slice(1)},normalizeArray:function(parts,allowAboveRoot){var up=0;for(var i=parts.length-1;i>=0;i--){var last=parts[i];if(last===\".\"){parts.splice(i,1)}else if(last===\"..\"){parts.splice(i,1);up++}else if(up){parts.splice(i,1);up--}}if(allowAboveRoot){for(;up;up--){parts.unshift(\"..\")}}return parts},normalize:function(path){var isAbsolute=path.charAt(0)===\"/\",trailingSlash=path.substr(-1)===\"/\";path=PATH.normalizeArray(path.split(\"/\").filter(function(p){return!!p}),!isAbsolute).join(\"/\");if(!path&&!isAbsolute){path=\".\"}if(path&&trailingSlash){path+=\"/\"}return(isAbsolute?\"/\":\"\")+path},dirname:function(path){var result=PATH.splitPath(path),root=result[0],dir=result[1];if(!root&&!dir){return\".\"}if(dir){dir=dir.substr(0,dir.length-1)}return root+dir},basename:function(path){if(path===\"/\")return\"/\";var lastSlash=path.lastIndexOf(\"/\");if(lastSlash===-1)return path;return path.substr(lastSlash+1)},extname:function(path){return PATH.splitPath(path)[3]},join:function(){var paths=Array.prototype.slice.call(arguments,0);return PATH.normalize(paths.join(\"/\"))},join2:function(l,r){return PATH.normalize(l+\"/\"+r)}};var SYSCALLS={mappings:{},buffers:[null,[],[]],printChar:function(stream,curr){var buffer=SYSCALLS.buffers[stream];if(curr===0||curr===10){(stream===1?out:err)(UTF8ArrayToString(buffer,0));buffer.length=0}else{buffer.push(curr)}},varargs:undefined,get:function(){SYSCALLS.varargs+=4;var ret=GROWABLE_HEAP_I32()[SYSCALLS.varargs-4>>2];return ret},getStr:function(ptr){var ret=UTF8ToString(ptr);return ret},get64:function(low,high){return low}};function _fd_close(fd){if(ENVIRONMENT_IS_PTHREAD)return _emscripten_proxy_to_main_thread_js(3,1,fd);return 0}function _fd_seek(fd,offset_low,offset_high,whence,newOffset){if(ENVIRONMENT_IS_PTHREAD)return _emscripten_proxy_to_main_thread_js(4,1,fd,offset_low,offset_high,whence,newOffset)}function _fd_write(fd,iov,iovcnt,pnum){if(ENVIRONMENT_IS_PTHREAD)return _emscripten_proxy_to_main_thread_js(5,1,fd,iov,iovcnt,pnum);var num=0;for(var i=0;i>2];var len=GROWABLE_HEAP_I32()[iov+(i*8+4)>>2];for(var j=0;j>2]=num;return 0}function _pthread_cleanup_pop(execute){var routine=PThread.exitHandlers.pop();if(execute)routine()}function _pthread_cleanup_push(routine,arg){if(PThread.exitHandlers===null){PThread.exitHandlers=[]}PThread.exitHandlers.push(function(){dynCall_vi(routine,arg)})}function __spawn_thread(threadParams){if(ENVIRONMENT_IS_PTHREAD)throw\"Internal Error! _spawn_thread() can only ever be called from main application thread!\";var worker=PThread.getNewWorker();if(worker.pthread!==undefined)throw\"Internal error!\";if(!threadParams.pthread_ptr)throw\"Internal error, no pthread ptr!\";PThread.runningWorkers.push(worker);var tlsMemory=_malloc(128*4);for(var i=0;i<128;++i){GROWABLE_HEAP_I32()[tlsMemory+i*4>>2]=0}var stackHigh=threadParams.stackBase+threadParams.stackSize;var pthread=PThread.pthreads[threadParams.pthread_ptr]={worker:worker,stackBase:threadParams.stackBase,stackSize:threadParams.stackSize,allocatedOwnStack:threadParams.allocatedOwnStack,thread:threadParams.pthread_ptr,threadInfoStruct:threadParams.pthread_ptr};var tis=pthread.threadInfoStruct>>2;Atomics.store(GROWABLE_HEAP_U32(),tis+(0>>2),0);Atomics.store(GROWABLE_HEAP_U32(),tis+(4>>2),0);Atomics.store(GROWABLE_HEAP_U32(),tis+(8>>2),0);Atomics.store(GROWABLE_HEAP_U32(),tis+(68>>2),threadParams.detached);Atomics.store(GROWABLE_HEAP_U32(),tis+(104>>2),tlsMemory);Atomics.store(GROWABLE_HEAP_U32(),tis+(48>>2),0);Atomics.store(GROWABLE_HEAP_U32(),tis+(40>>2),pthread.threadInfoStruct);Atomics.store(GROWABLE_HEAP_U32(),tis+(44>>2),42);Atomics.store(GROWABLE_HEAP_U32(),tis+(108>>2),threadParams.stackSize);Atomics.store(GROWABLE_HEAP_U32(),tis+(84>>2),threadParams.stackSize);Atomics.store(GROWABLE_HEAP_U32(),tis+(80>>2),stackHigh);Atomics.store(GROWABLE_HEAP_U32(),tis+(108+8>>2),stackHigh);Atomics.store(GROWABLE_HEAP_U32(),tis+(108+12>>2),threadParams.detached);Atomics.store(GROWABLE_HEAP_U32(),tis+(108+20>>2),threadParams.schedPolicy);Atomics.store(GROWABLE_HEAP_U32(),tis+(108+24>>2),threadParams.schedPrio);var global_libc=_emscripten_get_global_libc();var global_locale=global_libc+40;Atomics.store(GROWABLE_HEAP_U32(),tis+(176>>2),global_locale);worker.pthread=pthread;var msg={\"cmd\":\"run\",\"start_routine\":threadParams.startRoutine,\"arg\":threadParams.arg,\"threadInfoStruct\":threadParams.pthread_ptr,\"selfThreadId\":threadParams.pthread_ptr,\"parentThreadId\":threadParams.parent_pthread_ptr,\"stackBase\":threadParams.stackBase,\"stackSize\":threadParams.stackSize};worker.runPthread=function(){msg.time=performance.now();worker.postMessage(msg,threadParams.transferList)};if(worker.loaded){worker.runPthread();delete worker.runPthread}}function _pthread_getschedparam(thread,policy,schedparam){if(!policy&&!schedparam)return ERRNO_CODES.EINVAL;if(!thread){err(\"pthread_getschedparam called with a null thread pointer!\");return ERRNO_CODES.ESRCH}var self=GROWABLE_HEAP_I32()[thread+12>>2];if(self!==thread){err(\"pthread_getschedparam attempted on thread \"+thread+\", which does not point to a valid thread, or does not exist anymore!\");return ERRNO_CODES.ESRCH}var schedPolicy=Atomics.load(GROWABLE_HEAP_U32(),thread+108+20>>2);var schedPrio=Atomics.load(GROWABLE_HEAP_U32(),thread+108+24>>2);if(policy)GROWABLE_HEAP_I32()[policy>>2]=schedPolicy;if(schedparam)GROWABLE_HEAP_I32()[schedparam>>2]=schedPrio;return 0}function _pthread_self(){return __pthread_ptr|0}Module[\"_pthread_self\"]=_pthread_self;function _pthread_create(pthread_ptr,attr,start_routine,arg){if(typeof SharedArrayBuffer===\"undefined\"){err(\"Current environment does not support SharedArrayBuffer, pthreads are not available!\");return 6}if(!pthread_ptr){err(\"pthread_create called with a null thread pointer!\");return 28}var transferList=[];var error=0;if(ENVIRONMENT_IS_PTHREAD&&(transferList.length===0||error)){return _emscripten_sync_run_in_main_thread_4(687865856,pthread_ptr,attr,start_routine,arg)}if(error)return error;var stackSize=0;var stackBase=0;var detached=0;var schedPolicy=0;var schedPrio=0;if(attr){stackSize=GROWABLE_HEAP_I32()[attr>>2];stackSize+=81920;stackBase=GROWABLE_HEAP_I32()[attr+8>>2];detached=GROWABLE_HEAP_I32()[attr+12>>2]!==0;var inheritSched=GROWABLE_HEAP_I32()[attr+16>>2]===0;if(inheritSched){var prevSchedPolicy=GROWABLE_HEAP_I32()[attr+20>>2];var prevSchedPrio=GROWABLE_HEAP_I32()[attr+24>>2];var parentThreadPtr=PThread.currentProxiedOperationCallerThread?PThread.currentProxiedOperationCallerThread:_pthread_self();_pthread_getschedparam(parentThreadPtr,attr+20,attr+24);schedPolicy=GROWABLE_HEAP_I32()[attr+20>>2];schedPrio=GROWABLE_HEAP_I32()[attr+24>>2];GROWABLE_HEAP_I32()[attr+20>>2]=prevSchedPolicy;GROWABLE_HEAP_I32()[attr+24>>2]=prevSchedPrio}else{schedPolicy=GROWABLE_HEAP_I32()[attr+20>>2];schedPrio=GROWABLE_HEAP_I32()[attr+24>>2]}}else{stackSize=2097152}var allocatedOwnStack=stackBase==0;if(allocatedOwnStack){stackBase=_memalign(16,stackSize)}else{stackBase-=stackSize;assert(stackBase>0)}var threadInfoStruct=_malloc(232);for(var i=0;i<232>>2;++i)GROWABLE_HEAP_U32()[(threadInfoStruct>>2)+i]=0;GROWABLE_HEAP_I32()[pthread_ptr>>2]=threadInfoStruct;GROWABLE_HEAP_I32()[threadInfoStruct+12>>2]=threadInfoStruct;var headPtr=threadInfoStruct+156;GROWABLE_HEAP_I32()[headPtr>>2]=headPtr;var threadParams={stackBase:stackBase,stackSize:stackSize,allocatedOwnStack:allocatedOwnStack,schedPolicy:schedPolicy,schedPrio:schedPrio,detached:detached,startRoutine:start_routine,pthread_ptr:threadInfoStruct,parent_pthread_ptr:_pthread_self(),arg:arg,transferList:transferList};if(ENVIRONMENT_IS_PTHREAD){threadParams.cmd=\"spawnThread\";postMessage(threadParams,transferList)}else{__spawn_thread(threadParams)}return 0}function _roundf(d){d=+d;return d>=+0?+Math_floor(d+ +.5):+Math_ceil(d-+.5)}function _sysconf(name){if(ENVIRONMENT_IS_PTHREAD)return _emscripten_proxy_to_main_thread_js(6,1,name);switch(name){case 30:return 16384;case 85:var maxHeapSize=2147483648;return maxHeapSize/16384;case 132:case 133:case 12:case 137:case 138:case 15:case 235:case 16:case 17:case 18:case 19:case 20:case 149:case 13:case 10:case 236:case 153:case 9:case 21:case 22:case 159:case 154:case 14:case 77:case 78:case 139:case 80:case 81:case 82:case 68:case 67:case 164:case 11:case 29:case 47:case 48:case 95:case 52:case 51:case 46:case 79:return 200809;case 27:case 246:case 127:case 128:case 23:case 24:case 160:case 161:case 181:case 182:case 242:case 183:case 184:case 243:case 244:case 245:case 165:case 178:case 179:case 49:case 50:case 168:case 169:case 175:case 170:case 171:case 172:case 97:case 76:case 32:case 173:case 35:return-1;case 176:case 177:case 7:case 155:case 8:case 157:case 125:case 126:case 92:case 93:case 129:case 130:case 131:case 94:case 91:return 1;case 74:case 60:case 69:case 70:case 4:return 1024;case 31:case 42:case 72:return 32;case 87:case 26:case 33:return 2147483647;case 34:case 1:return 47839;case 38:case 36:return 99;case 43:case 37:return 2048;case 0:return 2097152;case 3:return 65536;case 28:return 32768;case 44:return 32767;case 75:return 16384;case 39:return 1e3;case 89:return 700;case 71:return 256;case 40:return 255;case 2:return 100;case 180:return 64;case 25:return 20;case 5:return 16;case 6:return 6;case 73:return 4;case 84:{if(typeof navigator===\"object\")return navigator[\"hardwareConcurrency\"]||1;return 1}}setErrNo(28);return-1}if(!ENVIRONMENT_IS_PTHREAD)PThread.initMainThreadBlock();else PThread.initWorker();var GLctx;GL.init();var proxiedFunctionTable=[null,_atexit,_emscripten_set_canvas_element_size_main_thread,_fd_close,_fd_seek,_fd_write,_sysconf];var asmLibraryArg={\"e\":___assert_fail,\"r\":___call_main,\"w\":__emscripten_notify_thread_queue,\"a\":_abort,\"l\":_emscripten_conditional_set_current_thread_status,\"d\":_emscripten_futex_wait,\"c\":_emscripten_futex_wake,\"h\":_emscripten_get_now,\"g\":_emscripten_is_main_browser_thread,\"x\":_emscripten_is_main_runtime_thread,\"q\":_emscripten_memcpy_big,\"B\":_emscripten_num_logical_cores,\"t\":_emscripten_receive_on_main_thread_js,\"A\":_emscripten_resize_heap,\"u\":_emscripten_set_canvas_element_size,\"k\":_emscripten_set_current_thread_status,\"s\":_emscripten_set_thread_name,\"v\":_emscripten_webgl_create_context,\"m\":_fd_close,\"o\":_fd_seek,\"i\":_fd_write,\"p\":initPthreadsJS,\"memory\":wasmMemory||Module[\"wasmMemory\"],\"y\":_pthread_cleanup_pop,\"z\":_pthread_cleanup_push,\"j\":_pthread_create,\"b\":_pthread_self,\"f\":_roundf,\"n\":_sysconf,\"table\":wasmTable};var asm=createWasm();Module[\"asm\"]=asm;var ___wasm_call_ctors=Module[\"___wasm_call_ctors\"]=function(){return(___wasm_call_ctors=Module[\"___wasm_call_ctors\"]=Module[\"asm\"][\"C\"]).apply(null,arguments)};var _init=Module[\"_init\"]=function(){return(_init=Module[\"_init\"]=Module[\"asm\"][\"D\"]).apply(null,arguments)};var _register_tensor=Module[\"_register_tensor\"]=function(){return(_register_tensor=Module[\"_register_tensor\"]=Module[\"asm\"][\"E\"]).apply(null,arguments)};var _dispose_data=Module[\"_dispose_data\"]=function(){return(_dispose_data=Module[\"_dispose_data\"]=Module[\"asm\"][\"F\"]).apply(null,arguments)};var _dispose=Module[\"_dispose\"]=function(){return(_dispose=Module[\"_dispose\"]=Module[\"asm\"][\"G\"]).apply(null,arguments)};var _Abs=Module[\"_Abs\"]=function(){return(_Abs=Module[\"_Abs\"]=Module[\"asm\"][\"H\"]).apply(null,arguments)};var _Add=Module[\"_Add\"]=function(){return(_Add=Module[\"_Add\"]=Module[\"asm\"][\"I\"]).apply(null,arguments)};var 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assert(condition,text){if(!condition){abort(\"Assertion failed: \"+text)}}function getCFunc(ident){var func=Module[\"_\"+ident];assert(func,\"Cannot call unknown function \"+ident+\", make sure it is exported\");return func}function ccall(ident,returnType,argTypes,args,opts){var toC={\"string\":function(str){var ret=0;if(str!==null&&str!==undefined&&str!==0){var len=(str.length<<2)+1;ret=stackAlloc(len);stringToUTF8(str,ret,len)}return ret},\"array\":function(arr){var ret=stackAlloc(arr.length);writeArrayToMemory(arr,ret);return ret}};function convertReturnValue(ret){if(returnType===\"string\")return UTF8ToString(ret);if(returnType===\"boolean\")return Boolean(ret);return ret}var func=getCFunc(ident);var cArgs=[];var stack=0;if(args){for(var i=0;i=endIdx))++endPtr;if(endPtr-idx>16&&heap.subarray&&UTF8Decoder){return UTF8Decoder.decode(heap.subarray(idx,endPtr))}else{var str=\"\";while(idx>10,56320|ch&1023)}}}return str}function UTF8ToString(ptr,maxBytesToRead){return ptr?UTF8ArrayToString(HEAPU8,ptr,maxBytesToRead):\"\"}function stringToUTF8Array(str,heap,outIdx,maxBytesToWrite){if(!(maxBytesToWrite>0))return 0;var startIdx=outIdx;var endIdx=outIdx+maxBytesToWrite-1;for(var i=0;i=55296&&u<=57343){var u1=str.charCodeAt(++i);u=65536+((u&1023)<<10)|u1&1023}if(u<=127){if(outIdx>=endIdx)break;heap[outIdx++]=u}else if(u<=2047){if(outIdx+1>=endIdx)break;heap[outIdx++]=192|u>>6;heap[outIdx++]=128|u&63}else if(u<=65535){if(outIdx+2>=endIdx)break;heap[outIdx++]=224|u>>12;heap[outIdx++]=128|u>>6&63;heap[outIdx++]=128|u&63}else{if(outIdx+3>=endIdx)break;heap[outIdx++]=240|u>>18;heap[outIdx++]=128|u>>12&63;heap[outIdx++]=128|u>>6&63;heap[outIdx++]=128|u&63}}heap[outIdx]=0;return outIdx-startIdx}function stringToUTF8(str,outPtr,maxBytesToWrite){return stringToUTF8Array(str,HEAPU8,outPtr,maxBytesToWrite)}function writeArrayToMemory(array,buffer){HEAP8.set(array,buffer)}var buffer,HEAP8,HEAPU8,HEAP16,HEAPU16,HEAP32,HEAPU32,HEAPF32,HEAPF64;function updateGlobalBufferAndViews(buf){buffer=buf;Module[\"HEAP8\"]=HEAP8=new Int8Array(buf);Module[\"HEAP16\"]=HEAP16=new Int16Array(buf);Module[\"HEAP32\"]=HEAP32=new Int32Array(buf);Module[\"HEAPU8\"]=HEAPU8=new Uint8Array(buf);Module[\"HEAPU16\"]=HEAPU16=new Uint16Array(buf);Module[\"HEAPU32\"]=HEAPU32=new Uint32Array(buf);Module[\"HEAPF32\"]=HEAPF32=new Float32Array(buf);Module[\"HEAPF64\"]=HEAPF64=new Float64Array(buf)}var INITIAL_INITIAL_MEMORY=Module[\"INITIAL_MEMORY\"]||16777216;function callRuntimeCallbacks(callbacks){while(callbacks.length>0){var callback=callbacks.shift();if(typeof callback==\"function\"){callback(Module);continue}var func=callback.func;if(typeof func===\"number\"){if(callback.arg===undefined){Module[\"dynCall_v\"](func)}else{Module[\"dynCall_vi\"](func,callback.arg)}}else{func(callback.arg===undefined?null:callback.arg)}}}var __ATPRERUN__=[];var __ATINIT__=[];var __ATMAIN__=[];var __ATPOSTRUN__=[];var runtimeInitialized=false;var runtimeExited=false;function 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addRunDependency(id){runDependencies++;if(Module[\"monitorRunDependencies\"]){Module[\"monitorRunDependencies\"](runDependencies)}}function removeRunDependency(id){runDependencies--;if(Module[\"monitorRunDependencies\"]){Module[\"monitorRunDependencies\"](runDependencies)}if(runDependencies==0){if(runDependencyWatcher!==null){clearInterval(runDependencyWatcher);runDependencyWatcher=null}if(dependenciesFulfilled){var callback=dependenciesFulfilled;dependenciesFulfilled=null;callback()}}}Module[\"preloadedImages\"]={};Module[\"preloadedAudios\"]={};function abort(what){if(Module[\"onAbort\"]){Module[\"onAbort\"](what)}what+=\"\";out(what);err(what);ABORT=true;EXITSTATUS=1;what=\"abort(\"+what+\"). Build with -s ASSERTIONS=1 for more info.\";throw new WebAssembly.RuntimeError(what)}function hasPrefix(str,prefix){return String.prototype.startsWith?str.startsWith(prefix):str.indexOf(prefix)===0}var dataURIPrefix=\"data:application/octet-stream;base64,\";function isDataURI(filename){return hasPrefix(filename,dataURIPrefix)}var fileURIPrefix=\"file://\";function isFileURI(filename){return hasPrefix(filename,fileURIPrefix)}var wasmBinaryFile=\"tfjs-backend-wasm.wasm\";if(!isDataURI(wasmBinaryFile)){wasmBinaryFile=locateFile(wasmBinaryFile)}function getBinary(){try{if(wasmBinary){return new Uint8Array(wasmBinary)}if(readBinary){return readBinary(wasmBinaryFile)}else{throw\"both async and sync fetching of the wasm failed\"}}catch(err){abort(err)}}function getBinaryPromise(){if(!wasmBinary&&(ENVIRONMENT_IS_WEB||ENVIRONMENT_IS_WORKER)&&typeof fetch===\"function\"&&!isFileURI(wasmBinaryFile)){return fetch(wasmBinaryFile,{credentials:\"same-origin\"}).then(function(response){if(!response[\"ok\"]){throw\"failed to load wasm binary file at '\"+wasmBinaryFile+\"'\"}return response[\"arrayBuffer\"]()}).catch(function(){return getBinary()})}return new Promise(function(resolve,reject){resolve(getBinary())})}function createWasm(){var info={\"env\":asmLibraryArg,\"wasi_snapshot_preview1\":asmLibraryArg};function receiveInstance(instance,module){var exports=instance.exports;Module[\"asm\"]=exports;wasmMemory=exports[\"memory\"];updateGlobalBufferAndViews(wasmMemory.buffer);removeRunDependency(\"wasm-instantiate\")}addRunDependency(\"wasm-instantiate\");function receiveInstantiatedSource(output){receiveInstance(output[\"instance\"])}function instantiateArrayBuffer(receiver){return getBinaryPromise().then(function(binary){return WebAssembly.instantiate(binary,info)}).then(receiver,function(reason){err(\"failed to asynchronously prepare wasm: \"+reason);abort(reason)})}function instantiateAsync(){if(!wasmBinary&&typeof WebAssembly.instantiateStreaming===\"function\"&&!isDataURI(wasmBinaryFile)&&!isFileURI(wasmBinaryFile)&&typeof fetch===\"function\"){fetch(wasmBinaryFile,{credentials:\"same-origin\"}).then(function(response){var result=WebAssembly.instantiateStreaming(response,info);return result.then(receiveInstantiatedSource,function(reason){err(\"wasm streaming compile failed: \"+reason);err(\"falling back to ArrayBuffer instantiation\");instantiateArrayBuffer(receiveInstantiatedSource)})})}else{return instantiateArrayBuffer(receiveInstantiatedSource)}}if(Module[\"instantiateWasm\"]){try{var exports=Module[\"instantiateWasm\"](info,receiveInstance);return exports}catch(e){err(\"Module.instantiateWasm callback failed with error: \"+e);return false}}instantiateAsync();return{}}__ATINIT__.push();function _emscripten_notify_memory_growth(memoryIndex){updateGlobalBufferAndViews(wasmMemory.buffer)}var PATH={splitPath:function(filename){var splitPathRe=/^(\\/?|)([\\s\\S]*?)((?:\\.{1,2}|[^\\/]+?|)(\\.[^.\\/]*|))(?:[\\/]*)$/;return splitPathRe.exec(filename).slice(1)},normalizeArray:function(parts,allowAboveRoot){var up=0;for(var i=parts.length-1;i>=0;i--){var last=parts[i];if(last===\".\"){parts.splice(i,1)}else if(last===\"..\"){parts.splice(i,1);up++}else if(up){parts.splice(i,1);up--}}if(allowAboveRoot){for(;up;up--){parts.unshift(\"..\")}}return parts},normalize:function(path){var isAbsolute=path.charAt(0)===\"/\",trailingSlash=path.substr(-1)===\"/\";path=PATH.normalizeArray(path.split(\"/\").filter(function(p){return!!p}),!isAbsolute).join(\"/\");if(!path&&!isAbsolute){path=\".\"}if(path&&trailingSlash){path+=\"/\"}return(isAbsolute?\"/\":\"\")+path},dirname:function(path){var result=PATH.splitPath(path),root=result[0],dir=result[1];if(!root&&!dir){return\".\"}if(dir){dir=dir.substr(0,dir.length-1)}return root+dir},basename:function(path){if(path===\"/\")return\"/\";var lastSlash=path.lastIndexOf(\"/\");if(lastSlash===-1)return path;return path.substr(lastSlash+1)},extname:function(path){return PATH.splitPath(path)[3]},join:function(){var paths=Array.prototype.slice.call(arguments,0);return PATH.normalize(paths.join(\"/\"))},join2:function(l,r){return PATH.normalize(l+\"/\"+r)}};var SYSCALLS={mappings:{},buffers:[null,[],[]],printChar:function(stream,curr){var buffer=SYSCALLS.buffers[stream];if(curr===0||curr===10){(stream===1?out:err)(UTF8ArrayToString(buffer,0));buffer.length=0}else{buffer.push(curr)}},varargs:undefined,get:function(){SYSCALLS.varargs+=4;var ret=HEAP32[SYSCALLS.varargs-4>>2];return ret},getStr:function(ptr){var ret=UTF8ToString(ptr);return ret},get64:function(low,high){return low}};function _fd_close(fd){return 0}function _fd_seek(fd,offset_low,offset_high,whence,newOffset){}function _fd_write(fd,iov,iovcnt,pnum){var num=0;for(var i=0;i>2];var len=HEAP32[iov+(i*8+4)>>2];for(var j=0;j>2]=num;return 0}function _exit(status){exit(status)}function _proc_exit(code){_exit(code)}function _roundf(d){d=+d;return d>=+0?+Math_floor(d+ +.5):+Math_ceil(d-+.5)}var asmLibraryArg={\"emscripten_notify_memory_growth\":_emscripten_notify_memory_growth,\"fd_close\":_fd_close,\"fd_seek\":_fd_seek,\"fd_write\":_fd_write,\"proc_exit\":_proc_exit,\"roundf\":_roundf};var asm=createWasm();Module[\"asm\"]=asm;var _init=Module[\"_init\"]=function(){return(_init=Module[\"_init\"]=Module[\"asm\"][\"init\"]).apply(null,arguments)};var _register_tensor=Module[\"_register_tensor\"]=function(){return(_register_tensor=Module[\"_register_tensor\"]=Module[\"asm\"][\"register_tensor\"]).apply(null,arguments)};var _dispose_data=Module[\"_dispose_data\"]=function(){return(_dispose_data=Module[\"_dispose_data\"]=Module[\"asm\"][\"dispose_data\"]).apply(null,arguments)};var _dispose=Module[\"_dispose\"]=function(){return(_dispose=Module[\"_dispose\"]=Module[\"asm\"][\"dispose\"]).apply(null,arguments)};var 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_Transpose=Module[\"_Transpose\"]=function(){return(_Transpose=Module[\"_Transpose\"]=Module[\"asm\"][\"Transpose\"]).apply(null,arguments)};var __FusedMatMul=Module[\"__FusedMatMul\"]=function(){return(__FusedMatMul=Module[\"__FusedMatMul\"]=Module[\"asm\"][\"_FusedMatMul\"]).apply(null,arguments)};var _malloc=Module[\"_malloc\"]=function(){return(_malloc=Module[\"_malloc\"]=Module[\"asm\"][\"malloc\"]).apply(null,arguments)};var _free=Module[\"_free\"]=function(){return(_free=Module[\"_free\"]=Module[\"asm\"][\"free\"]).apply(null,arguments)};var __start=Module[\"__start\"]=function(){return(__start=Module[\"__start\"]=Module[\"asm\"][\"_start\"]).apply(null,arguments)};var stackSave=Module[\"stackSave\"]=function(){return(stackSave=Module[\"stackSave\"]=Module[\"asm\"][\"stackSave\"]).apply(null,arguments)};var stackAlloc=Module[\"stackAlloc\"]=function(){return(stackAlloc=Module[\"stackAlloc\"]=Module[\"asm\"][\"stackAlloc\"]).apply(null,arguments)};var stackRestore=Module[\"stackRestore\"]=function(){return(stackRestore=Module[\"stackRestore\"]=Module[\"asm\"][\"stackRestore\"]).apply(null,arguments)};Module[\"asm\"]=asm;Module[\"cwrap\"]=cwrap;var calledRun;Module[\"then\"]=function(func){if(calledRun){func(Module)}else{var old=Module[\"onRuntimeInitialized\"];Module[\"onRuntimeInitialized\"]=function(){if(old)old();func(Module)}}return Module};function ExitStatus(status){this.name=\"ExitStatus\";this.message=\"Program terminated with exit(\"+status+\")\";this.status=status}var calledMain=false;dependenciesFulfilled=function runCaller(){if(!calledRun)run();if(!calledRun)dependenciesFulfilled=runCaller};function callMain(args){var entryFunction=Module[\"__start\"];try{entryFunction();var ret=0;exit(ret,true)}catch(e){if(e instanceof ExitStatus){return}else if(e==\"unwind\"){noExitRuntime=true;return}else{var toLog=e;if(e&&typeof e===\"object\"&&e.stack){toLog=[e,e.stack]}err(\"exception thrown: \"+toLog);quit_(1,e)}}finally{calledMain=true}}function run(args){args=args||arguments_;if(runDependencies>0){return}preRun();if(runDependencies>0)return;function doRun(){if(calledRun)return;calledRun=true;Module[\"calledRun\"]=true;if(ABORT)return;initRuntime();preMain();if(Module[\"onRuntimeInitialized\"])Module[\"onRuntimeInitialized\"]();if(shouldRunNow)callMain(args);postRun()}if(Module[\"setStatus\"]){Module[\"setStatus\"](\"Running...\");setTimeout(function(){setTimeout(function(){Module[\"setStatus\"](\"\")},1);doRun()},1)}else{doRun()}}Module[\"run\"]=run;function exit(status,implicit){if(implicit&&noExitRuntime&&status===0){return}if(noExitRuntime){}else{ABORT=true;EXITSTATUS=status;exitRuntime();if(Module[\"onExit\"])Module[\"onExit\"](status)}quit_(status,new ExitStatus(status))}if(Module[\"preInit\"]){if(typeof Module[\"preInit\"]==\"function\")Module[\"preInit\"]=[Module[\"preInit\"]];while(Module[\"preInit\"].length>0){Module[\"preInit\"].pop()()}}var shouldRunNow=true;if(Module[\"noInitialRun\"])shouldRunNow=false;noExitRuntime=true;run();\n\n\n return WasmBackendModule\n}\n);\n})();\nif (typeof exports === 'object' && typeof module === 'object')\n module.exports = WasmBackendModule;\n else if (typeof define === 'function' && define['amd'])\n define([], function() { return WasmBackendModule; });\n else if (typeof exports === 'object')\n exports[\"WasmBackendModule\"] = WasmBackendModule;\n ", "// A port of an algorithm by Johannes Baag\u00F8e , 2010\n// http://baagoe.com/en/RandomMusings/javascript/\n// https://github.com/nquinlan/better-random-numbers-for-javascript-mirror\n// Original work is under MIT license -\n\n// Copyright (C) 2010 by Johannes Baag\u00F8e \n//\n// Permission is hereby granted, free of charge, to any person obtaining a copy\n// of this software and associated documentation files (the \"Software\"), to deal\n// in the Software without restriction, including without limitation the rights\n// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell\n// copies of the Software, and to permit persons to whom the Software is\n// furnished to do so, subject to the following conditions:\n//\n// The above copyright notice and this permission notice shall be included in\n// all copies or substantial portions of the Software.\n//\n// THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\n// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\n// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN\n// THE SOFTWARE.\n\n\n\n(function(global, module, define) {\n\nfunction Alea(seed) {\n var me = this, mash = Mash();\n\n me.next = function() {\n var t = 2091639 * me.s0 + me.c * 2.3283064365386963e-10; // 2^-32\n me.s0 = me.s1;\n me.s1 = me.s2;\n return me.s2 = t - (me.c = t | 0);\n };\n\n // Apply the seeding algorithm from Baagoe.\n me.c = 1;\n me.s0 = mash(' ');\n me.s1 = mash(' ');\n me.s2 = mash(' ');\n me.s0 -= mash(seed);\n if (me.s0 < 0) { me.s0 += 1; }\n me.s1 -= mash(seed);\n if (me.s1 < 0) { me.s1 += 1; }\n me.s2 -= mash(seed);\n if (me.s2 < 0) { me.s2 += 1; }\n mash = null;\n}\n\nfunction copy(f, t) {\n t.c = f.c;\n t.s0 = f.s0;\n t.s1 = f.s1;\n t.s2 = f.s2;\n return t;\n}\n\nfunction impl(seed, opts) {\n var xg = new Alea(seed),\n state = opts && opts.state,\n prng = xg.next;\n prng.int32 = function() { return (xg.next() * 0x100000000) | 0; }\n prng.double = function() {\n return prng() + (prng() * 0x200000 | 0) * 1.1102230246251565e-16; // 2^-53\n };\n prng.quick = prng;\n if (state) {\n if (typeof(state) == 'object') copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nfunction Mash() {\n var n = 0xefc8249d;\n\n var mash = function(data) {\n data = String(data);\n for (var i = 0; i < data.length; i++) {\n n += data.charCodeAt(i);\n var h = 0.02519603282416938 * n;\n n = h >>> 0;\n h -= n;\n h *= n;\n n = h >>> 0;\n h -= n;\n n += h * 0x100000000; // 2^32\n }\n return (n >>> 0) * 2.3283064365386963e-10; // 2^-32\n };\n\n return mash;\n}\n\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.alea = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n\n", "// A Javascript implementaion of the \"xor128\" prng algorithm by\n// George Marsaglia. See http://www.jstatsoft.org/v08/i14/paper\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this, strseed = '';\n\n me.x = 0;\n me.y = 0;\n me.z = 0;\n me.w = 0;\n\n // Set up generator function.\n me.next = function() {\n var t = me.x ^ (me.x << 11);\n me.x = me.y;\n me.y = me.z;\n me.z = me.w;\n return me.w ^= (me.w >>> 19) ^ t ^ (t >>> 8);\n };\n\n if (seed === (seed | 0)) {\n // Integer seed.\n me.x = seed;\n } else {\n // String seed.\n strseed += seed;\n }\n\n // Mix in string seed, then discard an initial batch of 64 values.\n for (var k = 0; k < strseed.length + 64; k++) {\n me.x ^= strseed.charCodeAt(k) | 0;\n me.next();\n }\n}\n\nfunction copy(f, t) {\n t.x = f.x;\n t.y = f.y;\n t.z = f.z;\n t.w = f.w;\n return t;\n}\n\nfunction impl(seed, opts) {\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (typeof(state) == 'object') copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.xor128 = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n\n", "// A Javascript implementaion of the \"xorwow\" prng algorithm by\n// George Marsaglia. See http://www.jstatsoft.org/v08/i14/paper\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this, strseed = '';\n\n // Set up generator function.\n me.next = function() {\n var t = (me.x ^ (me.x >>> 2));\n me.x = me.y; me.y = me.z; me.z = me.w; me.w = me.v;\n return (me.d = (me.d + 362437 | 0)) +\n (me.v = (me.v ^ (me.v << 4)) ^ (t ^ (t << 1))) | 0;\n };\n\n me.x = 0;\n me.y = 0;\n me.z = 0;\n me.w = 0;\n me.v = 0;\n\n if (seed === (seed | 0)) {\n // Integer seed.\n me.x = seed;\n } else {\n // String seed.\n strseed += seed;\n }\n\n // Mix in string seed, then discard an initial batch of 64 values.\n for (var k = 0; k < strseed.length + 64; k++) {\n me.x ^= strseed.charCodeAt(k) | 0;\n if (k == strseed.length) {\n me.d = me.x << 10 ^ me.x >>> 4;\n }\n me.next();\n }\n}\n\nfunction copy(f, t) {\n t.x = f.x;\n t.y = f.y;\n t.z = f.z;\n t.w = f.w;\n t.v = f.v;\n t.d = f.d;\n return t;\n}\n\nfunction impl(seed, opts) {\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (typeof(state) == 'object') copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.xorwow = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n\n", "// A Javascript implementaion of the \"xorshift7\" algorithm by\n// Fran\u00E7ois Panneton and Pierre L'ecuyer:\n// \"On the Xorgshift Random Number Generators\"\n// http://saluc.engr.uconn.edu/refs/crypto/rng/panneton05onthexorshift.pdf\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this;\n\n // Set up generator function.\n me.next = function() {\n // Update xor generator.\n var X = me.x, i = me.i, t, v, w;\n t = X[i]; t ^= (t >>> 7); v = t ^ (t << 24);\n t = X[(i + 1) & 7]; v ^= t ^ (t >>> 10);\n t = X[(i + 3) & 7]; v ^= t ^ (t >>> 3);\n t = X[(i + 4) & 7]; v ^= t ^ (t << 7);\n t = X[(i + 7) & 7]; t = t ^ (t << 13); v ^= t ^ (t << 9);\n X[i] = v;\n me.i = (i + 1) & 7;\n return v;\n };\n\n function init(me, seed) {\n var j, w, X = [];\n\n if (seed === (seed | 0)) {\n // Seed state array using a 32-bit integer.\n w = X[0] = seed;\n } else {\n // Seed state using a string.\n seed = '' + seed;\n for (j = 0; j < seed.length; ++j) {\n X[j & 7] = (X[j & 7] << 15) ^\n (seed.charCodeAt(j) + X[(j + 1) & 7] << 13);\n }\n }\n // Enforce an array length of 8, not all zeroes.\n while (X.length < 8) X.push(0);\n for (j = 0; j < 8 && X[j] === 0; ++j);\n if (j == 8) w = X[7] = -1; else w = X[j];\n\n me.x = X;\n me.i = 0;\n\n // Discard an initial 256 values.\n for (j = 256; j > 0; --j) {\n me.next();\n }\n }\n\n init(me, seed);\n}\n\nfunction copy(f, t) {\n t.x = f.x.slice();\n t.i = f.i;\n return t;\n}\n\nfunction impl(seed, opts) {\n if (seed == null) seed = +(new Date);\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (state.x) copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.xorshift7 = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n", "// A Javascript implementaion of Richard Brent's Xorgens xor4096 algorithm.\n//\n// This fast non-cryptographic random number generator is designed for\n// use in Monte-Carlo algorithms. It combines a long-period xorshift\n// generator with a Weyl generator, and it passes all common batteries\n// of stasticial tests for randomness while consuming only a few nanoseconds\n// for each prng generated. For background on the generator, see Brent's\n// paper: \"Some long-period random number generators using shifts and xors.\"\n// http://arxiv.org/pdf/1004.3115v1.pdf\n//\n// Usage:\n//\n// var xor4096 = require('xor4096');\n// random = xor4096(1); // Seed with int32 or string.\n// assert.equal(random(), 0.1520436450538547); // (0, 1) range, 53 bits.\n// assert.equal(random.int32(), 1806534897); // signed int32, 32 bits.\n//\n// For nonzero numeric keys, this impelementation provides a sequence\n// identical to that by Brent's xorgens 3 implementaion in C. This\n// implementation also provides for initalizing the generator with\n// string seeds, or for saving and restoring the state of the generator.\n//\n// On Chrome, this prng benchmarks about 2.1 times slower than\n// Javascript's built-in Math.random().\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this;\n\n // Set up generator function.\n me.next = function() {\n var w = me.w,\n X = me.X, i = me.i, t, v;\n // Update Weyl generator.\n me.w = w = (w + 0x61c88647) | 0;\n // Update xor generator.\n v = X[(i + 34) & 127];\n t = X[i = ((i + 1) & 127)];\n v ^= v << 13;\n t ^= t << 17;\n v ^= v >>> 15;\n t ^= t >>> 12;\n // Update Xor generator array state.\n v = X[i] = v ^ t;\n me.i = i;\n // Result is the combination.\n return (v + (w ^ (w >>> 16))) | 0;\n };\n\n function init(me, seed) {\n var t, v, i, j, w, X = [], limit = 128;\n if (seed === (seed | 0)) {\n // Numeric seeds initialize v, which is used to generates X.\n v = seed;\n seed = null;\n } else {\n // String seeds are mixed into v and X one character at a time.\n seed = seed + '\\0';\n v = 0;\n limit = Math.max(limit, seed.length);\n }\n // Initialize circular array and weyl value.\n for (i = 0, j = -32; j < limit; ++j) {\n // Put the unicode characters into the array, and shuffle them.\n if (seed) v ^= seed.charCodeAt((j + 32) % seed.length);\n // After 32 shuffles, take v as the starting w value.\n if (j === 0) w = v;\n v ^= v << 10;\n v ^= v >>> 15;\n v ^= v << 4;\n v ^= v >>> 13;\n if (j >= 0) {\n w = (w + 0x61c88647) | 0; // Weyl.\n t = (X[j & 127] ^= (v + w)); // Combine xor and weyl to init array.\n i = (0 == t) ? i + 1 : 0; // Count zeroes.\n }\n }\n // We have detected all zeroes; make the key nonzero.\n if (i >= 128) {\n X[(seed && seed.length || 0) & 127] = -1;\n }\n // Run the generator 512 times to further mix the state before using it.\n // Factoring this as a function slows the main generator, so it is just\n // unrolled here. The weyl generator is not advanced while warming up.\n i = 127;\n for (j = 4 * 128; j > 0; --j) {\n v = X[(i + 34) & 127];\n t = X[i = ((i + 1) & 127)];\n v ^= v << 13;\n t ^= t << 17;\n v ^= v >>> 15;\n t ^= t >>> 12;\n X[i] = v ^ t;\n }\n // Storing state as object members is faster than using closure variables.\n me.w = w;\n me.X = X;\n me.i = i;\n }\n\n init(me, seed);\n}\n\nfunction copy(f, t) {\n t.i = f.i;\n t.w = f.w;\n t.X = f.X.slice();\n return t;\n};\n\nfunction impl(seed, opts) {\n if (seed == null) seed = +(new Date);\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (state.X) copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.xor4096 = impl;\n}\n\n})(\n this, // window object or global\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n", "// A Javascript implementaion of the \"Tyche-i\" prng algorithm by\n// Samuel Neves and Filipe Araujo.\n// See https://eden.dei.uc.pt/~sneves/pubs/2011-snfa2.pdf\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this, strseed = '';\n\n // Set up generator function.\n me.next = function() {\n var b = me.b, c = me.c, d = me.d, a = me.a;\n b = (b << 25) ^ (b >>> 7) ^ c;\n c = (c - d) | 0;\n d = (d << 24) ^ (d >>> 8) ^ a;\n a = (a - b) | 0;\n me.b = b = (b << 20) ^ (b >>> 12) ^ c;\n me.c = c = (c - d) | 0;\n me.d = (d << 16) ^ (c >>> 16) ^ a;\n return me.a = (a - b) | 0;\n };\n\n /* The following is non-inverted tyche, which has better internal\n * bit diffusion, but which is about 25% slower than tyche-i in JS.\n me.next = function() {\n var a = me.a, b = me.b, c = me.c, d = me.d;\n a = (me.a + me.b | 0) >>> 0;\n d = me.d ^ a; d = d << 16 ^ d >>> 16;\n c = me.c + d | 0;\n b = me.b ^ c; b = b << 12 ^ d >>> 20;\n me.a = a = a + b | 0;\n d = d ^ a; me.d = d = d << 8 ^ d >>> 24;\n me.c = c = c + d | 0;\n b = b ^ c;\n return me.b = (b << 7 ^ b >>> 25);\n }\n */\n\n me.a = 0;\n me.b = 0;\n me.c = 2654435769 | 0;\n me.d = 1367130551;\n\n if (seed === Math.floor(seed)) {\n // Integer seed.\n me.a = (seed / 0x100000000) | 0;\n me.b = seed | 0;\n } else {\n // String seed.\n strseed += seed;\n }\n\n // Mix in string seed, then discard an initial batch of 64 values.\n for (var k = 0; k < strseed.length + 20; k++) {\n me.b ^= strseed.charCodeAt(k) | 0;\n me.next();\n }\n}\n\nfunction copy(f, t) {\n t.a = f.a;\n t.b = f.b;\n t.c = f.c;\n t.d = f.d;\n return t;\n};\n\nfunction impl(seed, opts) {\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (typeof(state) == 'object') copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.tychei = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n\n", "/*\nCopyright 2019 David Bau.\n\nPermission is hereby granted, free of charge, to any person obtaining\na copy of this software and associated documentation files (the\n\"Software\"), to deal in the Software without restriction, including\nwithout limitation the rights to use, copy, modify, merge, publish,\ndistribute, sublicense, and/or sell copies of the Software, and to\npermit persons to whom the Software is furnished to do so, subject to\nthe following conditions:\n\nThe above copyright notice and this permission notice shall be\nincluded in all copies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND,\nEXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF\nMERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.\nIN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY\nCLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,\nTORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE\nSOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.\n\n*/\n\n(function (global, pool, math) {\n//\n// The following constants are related to IEEE 754 limits.\n//\n\nvar width = 256, // each RC4 output is 0 <= x < 256\n chunks = 6, // at least six RC4 outputs for each double\n digits = 52, // there are 52 significant digits in a double\n rngname = 'random', // rngname: name for Math.random and Math.seedrandom\n startdenom = math.pow(width, chunks),\n significance = math.pow(2, digits),\n overflow = significance * 2,\n mask = width - 1,\n nodecrypto; // node.js crypto module, initialized at the bottom.\n\n//\n// seedrandom()\n// This is the seedrandom function described above.\n//\nfunction seedrandom(seed, options, callback) {\n var key = [];\n options = (options == true) ? { entropy: true } : (options || {});\n\n // Flatten the seed string or build one from local entropy if needed.\n var shortseed = mixkey(flatten(\n options.entropy ? [seed, tostring(pool)] :\n (seed == null) ? autoseed() : seed, 3), key);\n\n // Use the seed to initialize an ARC4 generator.\n var arc4 = new ARC4(key);\n\n // This function returns a random double in [0, 1) that contains\n // randomness in every bit of the mantissa of the IEEE 754 value.\n var prng = function() {\n var n = arc4.g(chunks), // Start with a numerator n < 2 ^ 48\n d = startdenom, // and denominator d = 2 ^ 48.\n x = 0; // and no 'extra last byte'.\n while (n < significance) { // Fill up all significant digits by\n n = (n + x) * width; // shifting numerator and\n d *= width; // denominator and generating a\n x = arc4.g(1); // new least-significant-byte.\n }\n while (n >= overflow) { // To avoid rounding up, before adding\n n /= 2; // last byte, shift everything\n d /= 2; // right using integer math until\n x >>>= 1; // we have exactly the desired bits.\n }\n return (n + x) / d; // Form the number within [0, 1).\n };\n\n prng.int32 = function() { return arc4.g(4) | 0; }\n prng.quick = function() { return arc4.g(4) / 0x100000000; }\n prng.double = prng;\n\n // Mix the randomness into accumulated entropy.\n mixkey(tostring(arc4.S), pool);\n\n // Calling convention: what to return as a function of prng, seed, is_math.\n return (options.pass || callback ||\n function(prng, seed, is_math_call, state) {\n if (state) {\n // Load the arc4 state from the given state if it has an S array.\n if (state.S) { copy(state, arc4); }\n // Only provide the .state method if requested via options.state.\n prng.state = function() { return copy(arc4, {}); }\n }\n\n // If called as a method of Math (Math.seedrandom()), mutate\n // Math.random because that is how seedrandom.js has worked since v1.0.\n if (is_math_call) { math[rngname] = prng; return seed; }\n\n // Otherwise, it is a newer calling convention, so return the\n // prng directly.\n else return prng;\n })(\n prng,\n shortseed,\n 'global' in options ? options.global : (this == math),\n options.state);\n}\n\n//\n// ARC4\n//\n// An ARC4 implementation. The constructor takes a key in the form of\n// an array of at most (width) integers that should be 0 <= x < (width).\n//\n// The g(count) method returns a pseudorandom integer that concatenates\n// the next (count) outputs from ARC4. Its return value is a number x\n// that is in the range 0 <= x < (width ^ count).\n//\nfunction ARC4(key) {\n var t, keylen = key.length,\n me = this, i = 0, j = me.i = me.j = 0, s = me.S = [];\n\n // The empty key [] is treated as [0].\n if (!keylen) { key = [keylen++]; }\n\n // Set up S using the standard key scheduling algorithm.\n while (i < width) {\n s[i] = i++;\n }\n for (i = 0; i < width; i++) {\n s[i] = s[j = mask & (j + key[i % keylen] + (t = s[i]))];\n s[j] = t;\n }\n\n // The \"g\" method returns the next (count) outputs as one number.\n (me.g = function(count) {\n // Using instance members instead of closure state nearly doubles speed.\n var t, r = 0,\n i = me.i, j = me.j, s = me.S;\n while (count--) {\n t = s[i = mask & (i + 1)];\n r = r * width + s[mask & ((s[i] = s[j = mask & (j + t)]) + (s[j] = t))];\n }\n me.i = i; me.j = j;\n return r;\n // For robust unpredictability, the function call below automatically\n // discards an initial batch of values. This is called RC4-drop[256].\n // See http://google.com/search?q=rsa+fluhrer+response&btnI\n })(width);\n}\n\n//\n// copy()\n// Copies internal state of ARC4 to or from a plain object.\n//\nfunction copy(f, t) {\n t.i = f.i;\n t.j = f.j;\n t.S = f.S.slice();\n return t;\n};\n\n//\n// flatten()\n// Converts an object tree to nested arrays of strings.\n//\nfunction flatten(obj, depth) {\n var result = [], typ = (typeof obj), prop;\n if (depth && typ == 'object') {\n for (prop in obj) {\n try { result.push(flatten(obj[prop], depth - 1)); } catch (e) {}\n }\n }\n return (result.length ? result : typ == 'string' ? obj : obj + '\\0');\n}\n\n//\n// mixkey()\n// Mixes a string seed into a key that is an array of integers, and\n// returns a shortened string seed that is equivalent to the result key.\n//\nfunction mixkey(seed, key) {\n var stringseed = seed + '', smear, j = 0;\n while (j < stringseed.length) {\n key[mask & j] =\n mask & ((smear ^= key[mask & j] * 19) + stringseed.charCodeAt(j++));\n }\n return tostring(key);\n}\n\n//\n// autoseed()\n// Returns an object for autoseeding, using window.crypto and Node crypto\n// module if available.\n//\nfunction autoseed() {\n try {\n var out;\n if (nodecrypto && (out = nodecrypto.randomBytes)) {\n // The use of 'out' to remember randomBytes makes tight minified code.\n out = out(width);\n } else {\n out = new Uint8Array(width);\n (global.crypto || global.msCrypto).getRandomValues(out);\n }\n return tostring(out);\n } catch (e) {\n var browser = global.navigator,\n plugins = browser && browser.plugins;\n return [+new Date, global, plugins, global.screen, tostring(pool)];\n }\n}\n\n//\n// tostring()\n// Converts an array of charcodes to a string\n//\nfunction tostring(a) {\n return String.fromCharCode.apply(0, a);\n}\n\n//\n// When seedrandom.js is loaded, we immediately mix a few bits\n// from the built-in RNG into the entropy pool. Because we do\n// not want to interfere with deterministic PRNG state later,\n// seedrandom will not call math.random on its own again after\n// initialization.\n//\nmixkey(math.random(), pool);\n\n//\n// Nodejs and AMD support: export the implementation as a module using\n// either convention.\n//\nif ((typeof module) == 'object' && module.exports) {\n module.exports = seedrandom;\n // When in node.js, try using crypto package for autoseeding.\n try {\n nodecrypto = require('crypto');\n } catch (ex) {}\n} else if ((typeof define) == 'function' && define.amd) {\n define(function() { return seedrandom; });\n} else {\n // When included as a plain script, set up Math.seedrandom global.\n math['seed' + rngname] = seedrandom;\n}\n\n\n// End anonymous scope, and pass initial values.\n})(\n // global: `self` in browsers (including strict mode and web workers),\n // otherwise `this` in Node and other environments\n (typeof self !== 'undefined') ? self : this,\n [], // pool: entropy pool starts empty\n Math // math: package containing random, pow, and seedrandom\n);\n", "// A library of seedable RNGs implemented in Javascript.\n//\n// Usage:\n//\n// var seedrandom = require('seedrandom');\n// var random = seedrandom(1); // or any seed.\n// var x = random(); // 0 <= x < 1. Every bit is random.\n// var x = random.quick(); // 0 <= x < 1. 32 bits of randomness.\n\n// alea, a 53-bit multiply-with-carry generator by Johannes Baag\u00F8e.\n// Period: ~2^116\n// Reported to pass all BigCrush tests.\nvar alea = require('./lib/alea');\n\n// xor128, a pure xor-shift generator by George Marsaglia.\n// Period: 2^128-1.\n// Reported to fail: MatrixRank and LinearComp.\nvar xor128 = require('./lib/xor128');\n\n// xorwow, George Marsaglia's 160-bit xor-shift combined plus weyl.\n// Period: 2^192-2^32\n// Reported to fail: CollisionOver, SimpPoker, and LinearComp.\nvar xorwow = require('./lib/xorwow');\n\n// xorshift7, by Fran\u00E7ois Panneton and Pierre L'ecuyer, takes\n// a different approach: it adds robustness by allowing more shifts\n// than Marsaglia's original three. It is a 7-shift generator\n// with 256 bits, that passes BigCrush with no systmatic failures.\n// Period 2^256-1.\n// No systematic BigCrush failures reported.\nvar xorshift7 = require('./lib/xorshift7');\n\n// xor4096, by Richard Brent, is a 4096-bit xor-shift with a\n// very long period that also adds a Weyl generator. It also passes\n// BigCrush with no systematic failures. Its long period may\n// be useful if you have many generators and need to avoid\n// collisions.\n// Period: 2^4128-2^32.\n// No systematic BigCrush failures reported.\nvar xor4096 = require('./lib/xor4096');\n\n// Tyche-i, by Samuel Neves and Filipe Araujo, is a bit-shifting random\n// number generator derived from ChaCha, a modern stream cipher.\n// https://eden.dei.uc.pt/~sneves/pubs/2011-snfa2.pdf\n// Period: ~2^127\n// No systematic BigCrush failures reported.\nvar tychei = require('./lib/tychei');\n\n// The original ARC4-based prng included in this library.\n// Period: ~2^1600\nvar sr = require('./seedrandom');\n\nsr.alea = alea;\nsr.xor128 = xor128;\nsr.xorwow = xorwow;\nsr.xorshift7 = xorshift7;\nsr.xor4096 = xor4096;\nsr.tychei = tychei;\n\nmodule.exports = sr;\n", "", null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, "export const wasmWorkerContents = 'var threadInfoStruct=0;var selfThreadId=0;var parentThreadId=0;var Module={};function threadPrintErr(){var text=Array.prototype.slice.call(arguments).join(\" \");console.error(text)}function threadAlert(){var text=Array.prototype.slice.call(arguments).join(\" \");postMessage({cmd:\"alert\",text:text,threadId:selfThreadId})}var err=threadPrintErr;this.alert=threadAlert;Module[\"instantiateWasm\"]=function(info,receiveInstance){var instance=new WebAssembly.Instance(Module[\"wasmModule\"],info);Module[\"wasmModule\"]=null;receiveInstance(instance);return instance.exports};this.onmessage=function(e){try{if(e.data.cmd===\"load\"){Module[\"DYNAMIC_BASE\"]=e.data.DYNAMIC_BASE;Module[\"DYNAMICTOP_PTR\"]=e.data.DYNAMICTOP_PTR;Module[\"wasmModule\"]=e.data.wasmModule;Module[\"wasmMemory\"]=e.data.wasmMemory;Module[\"buffer\"]=Module[\"wasmMemory\"].buffer;Module[\"ENVIRONMENT_IS_PTHREAD\"]=true;if(typeof e.data.urlOrBlob===\"string\"){importScripts(e.data.urlOrBlob)}else{var objectUrl=URL.createObjectURL(e.data.urlOrBlob);importScripts(objectUrl);URL.revokeObjectURL(objectUrl)}Module=WasmBackendModuleThreadedSimd(Module);postMessage({\"cmd\":\"loaded\"})}else if(e.data.cmd===\"objectTransfer\"){Module[\"PThread\"].receiveObjectTransfer(e.data)}else if(e.data.cmd===\"run\"){Module[\"__performance_now_clock_drift\"]=performance.now()-e.data.time;threadInfoStruct=e.data.threadInfoStruct;Module[\"__register_pthread_ptr\"](threadInfoStruct,0,0);selfThreadId=e.data.selfThreadId;parentThreadId=e.data.parentThreadId;var max=e.data.stackBase;var top=e.data.stackBase+e.data.stackSize;Module[\"establishStackSpace\"](top,max);Module[\"_emscripten_tls_init\"]();Module[\"PThread\"].receiveObjectTransfer(e.data);Module[\"PThread\"].setThreadStatus(Module[\"_pthread_self\"](),1);try{var result=Module[\"dynCall_ii\"](e.data.start_routine,e.data.arg);if(!Module[\"getNoExitRuntime\"]())Module[\"PThread\"].threadExit(result)}catch(ex){if(ex===\"Canceled!\"){Module[\"PThread\"].threadCancel()}else if(ex!=\"unwind\"){Atomics.store(Module[\"HEAPU32\"],threadInfoStruct+4>>2,ex instanceof Module[\"ExitStatus\"]?ex.status:-2);Atomics.store(Module[\"HEAPU32\"],threadInfoStruct+0>>2,1);Module[\"_emscripten_futex_wake\"](threadInfoStruct+0,2147483647);if(!(ex instanceof Module[\"ExitStatus\"]))throw ex}}}else if(e.data.cmd===\"cancel\"){if(threadInfoStruct){Module[\"PThread\"].threadCancel()}}else if(e.data.target===\"setimmediate\"){}else if(e.data.cmd===\"processThreadQueue\"){if(threadInfoStruct){Module[\"_emscripten_current_thread_process_queued_calls\"]()}}else{err(\"worker.js received unknown command \"+e.data.cmd);err(e.data)}}catch(ex){err(\"worker.js onmessage() captured an uncaught exception: \"+ex);if(ex.stack)err(ex.stack);throw ex}};if(typeof process===\"object\"&&typeof process.versions===\"object\"&&typeof process.versions.node===\"string\"){self={location:{href:__filename}};var onmessage=this.onmessage;var nodeWorkerThreads=require(\"worker_threads\");Worker=nodeWorkerThreads.Worker;var parentPort=nodeWorkerThreads.parentPort;parentPort.on(\"message\",function(data){onmessage({data:data})});var nodeFS=require(\"fs\");var nodeRead=function(filename){return nodeFS.readFileSync(filename,\"utf8\")};function globalEval(x){global.require=require;global.Module=Module;eval.call(null,x)}importScripts=function(f){globalEval(nodeRead(f))};postMessage=function(msg){parentPort.postMessage(msg)};if(typeof performance===\"undefined\"){performance={now:function(){return Date.now()}}}}';", null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, "// wrapper to load tfjs in a single place so version can be changed quickly\n\n// simplified\n// { modules: 1061, moduleBytes: 3772720, outputBytes: 1531035 }\n\n// export * from '@tensorflow/tfjs/dist/index.js';\n// export * from '@tensorflow/tfjs-backend-wasm';\n\n// modular\n// { modules: 1064, moduleBytes: 3793219, outputBytes: 1535600 }\n\n// get versions of all packages.\nimport * as packageBundle from '@tensorflow/tfjs/package.json';\nimport * as packageCore from '@tensorflow/tfjs-core/package.json';\nimport * as packageData from '@tensorflow/tfjs-data/package.json';\nimport * as packageLayers from '@tensorflow/tfjs-layers/package.json';\nimport * as packageConverter from '@tensorflow/tfjs-converter/package.json';\n// for backends, get version from source so it can register backend during import\nimport { version_cpu } from '@tensorflow/tfjs-backend-cpu/dist/index.js';\nimport { version_webgl } from '@tensorflow/tfjs-backend-webgl/dist/index.js';\nimport { version_wasm } from '@tensorflow/tfjs-backend-wasm/dist/index.js';\n\n// export all\nexport * from '@tensorflow/tfjs-core/dist/index.js';\nexport * from '@tensorflow/tfjs-layers/dist/index.js';\nexport * from '@tensorflow/tfjs-converter/dist/index.js';\nexport * as data from '@tensorflow/tfjs-data/dist/index.js';\nexport * from '@tensorflow/tfjs-backend-cpu/dist/index.js';\nexport * from '@tensorflow/tfjs-backend-webgl/dist/index.js';\nexport * from '@tensorflow/tfjs-backend-wasm/dist/index.js';\n\n// export versions\nexport const version = {\n tfjs: packageBundle.version,\n 'tfjs-core': packageCore.version,\n 'tfjs-data': packageData.version,\n 'tfjs-layers': packageLayers.version,\n 'tfjs-converter': packageConverter.version,\n 'tfjs-backend-cpu': version_cpu,\n 'tfjs-backend-webgl': version_webgl,\n 'tfjs-backend-wasm': version_wasm,\n};\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\n\nexport const config = {\n name: 'humangl',\n priority: 99,\n canvas: null,\n gl: null,\n width: 1024,\n height: 1024,\n webGLattr: { // https://www.khronos.org/registry/webgl/specs/latest/1.0/#5.2\n alpha: false,\n antialias: false,\n premultipliedAlpha: false,\n preserveDrawingBuffer: false,\n depth: false,\n stencil: false,\n failIfMajorPerformanceCaveat: false,\n desynchronized: true,\n },\n};\n\nexport function register() {\n if (!tf.findBackend(config.name)) {\n log('backend registration:', config.name);\n try {\n // @ts-ignore\n config.canvas = (typeof OffscreenCanvas !== 'undefined') ? new OffscreenCanvas(config.width, config.height) : document.createElement('canvas');\n } catch (err) {\n log('error: cannot create canvas:', err);\n return;\n }\n try {\n // @ts-ignore\n config.gl = config.canvas.getContext('webgl2', config.webGLattr);\n } catch (err) {\n log('error: cannot get WebGL2 context:', err);\n return;\n }\n try {\n tf.setWebGLContext(2, config.gl);\n } catch (err) {\n log('error: cannot set WebGL2 context:', err);\n return;\n }\n try {\n const ctx = new tf.GPGPUContext(config.gl);\n tf.registerBackend(config.name, () => new tf.MathBackendWebGL(ctx), config.priority);\n } catch (err) {\n log('error: cannot register WebGL backend:', err);\n return;\n }\n try {\n const kernels = tf.getKernelsForBackend('webgl');\n kernels.forEach((kernelConfig) => {\n const newKernelConfig = { ...kernelConfig, backendName: config.name };\n tf.registerKernel(newKernelConfig);\n });\n } catch (err) {\n log('error: cannot update WebGL backend registration:', err);\n return;\n }\n try {\n tf.ENV.set('WEBGL_VERSION', 2);\n // @ts-ignore\n tf.ENV.set('WEBGL_MAX_TEXTURE_SIZE', config.gl.getParameter(config.gl.MAX_TEXTURE_SIZE));\n tf.ENV.set('WEBGL_FORCE_F16_TEXTURES', true);\n tf.ENV.set('WEBGL_PACK_DEPTHWISECONV', true);\n } catch (err) {\n log('error: cannot set WebGL backend flags:', err);\n return;\n }\n log('backend registered:', config.name);\n }\n}\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\n\nconst NUM_LANDMARKS = 6;\n\nfunction generateAnchors(inputSize) {\n const spec = { strides: [inputSize / 16, inputSize / 8], anchors: [2, 6] };\n const anchors: Array<[number, number]> = [];\n for (let i = 0; i < spec.strides.length; i++) {\n const stride = spec.strides[i];\n const gridRows = Math.floor((inputSize + stride - 1) / stride);\n const gridCols = Math.floor((inputSize + stride - 1) / stride);\n const anchorsNum = spec.anchors[i];\n for (let gridY = 0; gridY < gridRows; gridY++) {\n const anchorY = stride * (gridY + 0.5);\n for (let gridX = 0; gridX < gridCols; gridX++) {\n const anchorX = stride * (gridX + 0.5);\n for (let n = 0; n < anchorsNum; n++) {\n anchors.push([anchorX, anchorY]);\n }\n }\n }\n }\n return anchors;\n}\n\nexport const disposeBox = (box) => {\n box.startEndTensor.dispose();\n box.startPoint.dispose();\n box.endPoint.dispose();\n};\n\nconst createBox = (startEndTensor) => ({\n startEndTensor,\n startPoint: tf.slice(startEndTensor, [0, 0], [-1, 2]),\n endPoint: tf.slice(startEndTensor, [0, 2], [-1, 2]),\n});\n\nfunction decodeBounds(boxOutputs, anchors, inputSize) {\n const boxStarts = tf.slice(boxOutputs, [0, 1], [-1, 2]);\n const centers = tf.add(boxStarts, anchors);\n const boxSizes = tf.slice(boxOutputs, [0, 3], [-1, 2]);\n const boxSizesNormalized = tf.div(boxSizes, inputSize);\n const centersNormalized = tf.div(centers, inputSize);\n const halfBoxSize = tf.div(boxSizesNormalized, 2);\n const starts = tf.sub(centersNormalized, halfBoxSize);\n const ends = tf.add(centersNormalized, halfBoxSize);\n const startNormalized = tf.mul(starts, inputSize);\n const endNormalized = tf.mul(ends, inputSize);\n const concatAxis = 1;\n return tf.concat2d([startNormalized, endNormalized], concatAxis);\n}\n\nexport class BlazeFaceModel {\n blazeFaceModel: any;\n width: number;\n height: number;\n anchorsData: any;\n anchors: any;\n inputSize: number;\n config: any;\n scaleFaces: number;\n\n constructor(model, config) {\n this.blazeFaceModel = model;\n this.width = config.face.detector.inputSize;\n this.height = config.face.detector.inputSize;\n this.anchorsData = generateAnchors(config.face.detector.inputSize);\n this.anchors = tf.tensor2d(this.anchorsData);\n this.inputSize = tf.tensor1d([this.width, this.height]);\n this.config = config;\n this.scaleFaces = 0.8;\n }\n\n async getBoundingBoxes(inputImage) {\n // sanity check on input\n if ((!inputImage) || (inputImage.isDisposedInternal) || (inputImage.shape.length !== 4) || (inputImage.shape[1] < 1) || (inputImage.shape[2] < 1)) return null;\n const [detectedOutputs, boxes, scores] = tf.tidy(() => {\n const resizedImage = inputImage.resizeBilinear([this.width, this.height]);\n // const normalizedImage = tf.mul(tf.sub(resizedImage.div(255), 0.5), 2);\n const normalizedImage = tf.sub(resizedImage.div(127.5), 1);\n const batchedPrediction = this.blazeFaceModel.predict(normalizedImage);\n let prediction;\n // are we using tfhub or pinto converted model?\n if (Array.isArray(batchedPrediction)) {\n const sorted = batchedPrediction.sort((a, b) => a.size - b.size);\n const concat384 = tf.concat([sorted[0], sorted[2]], 2); // dim: 384, 1 + 16\n const concat512 = tf.concat([sorted[1], sorted[3]], 2); // dim: 512, 1 + 16\n const concat = tf.concat([concat512, concat384], 1);\n prediction = concat.squeeze(0);\n } else {\n prediction = batchedPrediction.squeeze(); // when using tfhub model\n }\n const decodedBounds = decodeBounds(prediction, this.anchors, this.inputSize);\n const logits = tf.slice(prediction, [0, 0], [-1, 1]);\n const scoresOut = tf.sigmoid(logits).squeeze();\n return [prediction, decodedBounds, scoresOut];\n });\n const boxIndicesTensor = await tf.image.nonMaxSuppressionAsync(boxes, scores, this.config.face.detector.maxFaces, this.config.face.detector.iouThreshold, this.config.face.detector.scoreThreshold);\n const boxIndices = boxIndicesTensor.arraySync();\n boxIndicesTensor.dispose();\n const boundingBoxesMap = boxIndices.map((boxIndex) => tf.slice(boxes, [boxIndex, 0], [1, -1]));\n const boundingBoxes = boundingBoxesMap.map((boundingBox) => {\n const vals = boundingBox.arraySync();\n boundingBox.dispose();\n return vals;\n });\n\n const scoresVal = scores.dataSync();\n const annotatedBoxes: Array<{ box: any, landmarks: any, anchor: any, confidence: number }> = [];\n for (let i = 0; i < boundingBoxes.length; i++) {\n const boxIndex = boxIndices[i];\n const confidence = scoresVal[boxIndex];\n if (confidence > this.config.face.detector.minConfidence) {\n const box = createBox(boundingBoxes[i]);\n const anchor = this.anchorsData[boxIndex];\n const landmarks = tf.tidy(() => tf.slice(detectedOutputs, [boxIndex, NUM_LANDMARKS - 1], [1, -1]).squeeze().reshape([NUM_LANDMARKS, -1]));\n annotatedBoxes.push({ box, landmarks, anchor, confidence });\n }\n }\n detectedOutputs.dispose();\n boxes.dispose();\n scores.dispose();\n detectedOutputs.dispose();\n return {\n boxes: annotatedBoxes,\n scaleFactor: [inputImage.shape[2] / this.width, inputImage.shape[1] / this.height],\n };\n }\n}\n\nexport async function load(config) {\n const blazeface = await tf.loadGraphModel(config.face.detector.modelPath, { fromTFHub: config.face.detector.modelPath.includes('tfhub.dev') });\n const model = new BlazeFaceModel(blazeface, config);\n log(`load model: ${config.face.detector.modelPath.match(/\\/(.*)\\./)[1]}`);\n return model;\n}\n", "import * as tf from '../../dist/tfjs.esm.js';\n\nexport function scaleBoxCoordinates(box, factor) {\n const startPoint = [box.startPoint[0] * factor[0], box.startPoint[1] * factor[1]];\n const endPoint = [box.endPoint[0] * factor[0], box.endPoint[1] * factor[1]];\n return { startPoint, endPoint };\n}\n\nexport function getBoxSize(box) {\n return [\n Math.abs(box.endPoint[0] - box.startPoint[0]),\n Math.abs(box.endPoint[1] - box.startPoint[1]),\n ];\n}\n\nexport function getBoxCenter(box) {\n return [\n box.startPoint[0] + (box.endPoint[0] - box.startPoint[0]) / 2,\n box.startPoint[1] + (box.endPoint[1] - box.startPoint[1]) / 2,\n ];\n}\n\nexport function cutBoxFromImageAndResize(box, image, cropSize) {\n const h = image.shape[1];\n const w = image.shape[2];\n const boxes = [[\n box.startPoint[1] / h, box.startPoint[0] / w, box.endPoint[1] / h,\n box.endPoint[0] / w,\n ]];\n return tf.image.cropAndResize(image, boxes, [0], cropSize);\n}\n\nexport function enlargeBox(box, factor = 1.5) {\n const center = getBoxCenter(box);\n const size = getBoxSize(box);\n const newHalfSize = [factor * size[0] / 2, factor * size[1] / 2];\n const startPoint = [center[0] - newHalfSize[0], center[1] - newHalfSize[1]];\n const endPoint = [center[0] + newHalfSize[0], center[1] + newHalfSize[1]];\n return { startPoint, endPoint, landmarks: box.landmarks };\n}\n\nexport function squarifyBox(box) {\n const centers = getBoxCenter(box);\n const size = getBoxSize(box);\n const maxEdge = Math.max(...size);\n const halfSize = maxEdge / 2;\n const startPoint = [centers[0] - halfSize, centers[1] - halfSize];\n const endPoint = [centers[0] + halfSize, centers[1] + halfSize];\n return { startPoint, endPoint, landmarks: box.landmarks };\n}\n", "export const IDENTITY_MATRIX = [[1, 0, 0], [0, 1, 0], [0, 0, 1]];\n/**\n * Normalizes the provided angle to the range -pi to pi.\n * @param angle The angle in radians to be normalized.\n */\nexport function normalizeRadians(angle) {\n return angle - 2 * Math.PI * Math.floor((angle + Math.PI) / (2 * Math.PI));\n}\n\n/**\n * Computes the angle of rotation between two anchor points.\n * @param point1 First anchor point\n * @param point2 Second anchor point\n */\nexport function computeRotation(point1, point2) {\n const radians = Math.PI / 2 - Math.atan2(-(point2[1] - point1[1]), point2[0] - point1[0]);\n return normalizeRadians(radians);\n}\n\nexport function radToDegrees(rad) {\n return rad * 180 / Math.PI;\n}\n\nexport function buildTranslationMatrix(x, y) {\n return [[1, 0, x], [0, 1, y], [0, 0, 1]];\n}\n\nexport function dot(v1, v2) {\n let product = 0;\n for (let i = 0; i < v1.length; i++) {\n product += v1[i] * v2[i];\n }\n return product;\n}\n\nexport function getColumnFrom2DArr(arr, columnIndex) {\n const column: Array = [];\n for (let i = 0; i < arr.length; i++) {\n column.push(arr[i][columnIndex]);\n }\n return column;\n}\n\nexport function multiplyTransformMatrices(mat1, mat2) {\n const product: Array = [];\n const size = mat1.length;\n for (let row = 0; row < size; row++) {\n product.push([]);\n for (let col = 0; col < size; col++) {\n product[row].push(dot(mat1[row], getColumnFrom2DArr(mat2, col)));\n }\n }\n return product;\n}\n\nexport function buildRotationMatrix(rotation, center) {\n const cosA = Math.cos(rotation);\n const sinA = Math.sin(rotation);\n const rotationMatrix = [[cosA, -sinA, 0], [sinA, cosA, 0], [0, 0, 1]];\n const translationMatrix = buildTranslationMatrix(center[0], center[1]);\n const translationTimesRotation = multiplyTransformMatrices(translationMatrix, rotationMatrix);\n const negativeTranslationMatrix = buildTranslationMatrix(-center[0], -center[1]);\n return multiplyTransformMatrices(translationTimesRotation, negativeTranslationMatrix);\n}\n\nexport function invertTransformMatrix(matrix) {\n const rotationComponent = [[matrix[0][0], matrix[1][0]], [matrix[0][1], matrix[1][1]]];\n const translationComponent = [matrix[0][2], matrix[1][2]];\n const invertedTranslation = [\n -dot(rotationComponent[0], translationComponent),\n -dot(rotationComponent[1], translationComponent),\n ];\n return [\n rotationComponent[0].concat(invertedTranslation[0]),\n rotationComponent[1].concat(invertedTranslation[1]),\n [0, 0, 1],\n ];\n}\n\nexport function rotatePoint(homogeneousCoordinate, rotationMatrix) {\n return [\n dot(homogeneousCoordinate, rotationMatrix[0]),\n dot(homogeneousCoordinate, rotationMatrix[1]),\n ];\n}\n\nexport function xyDistanceBetweenPoints(a, b) {\n return Math.sqrt(((a[0] - b[0]) ** 2) + ((a[1] - b[1]) ** 2));\n}\n", "export const MESH_ANNOTATIONS = {\n silhouette: [\n 10, 338, 297, 332, 284, 251, 389, 356, 454, 323, 361, 288,\n 397, 365, 379, 378, 400, 377, 152, 148, 176, 149, 150, 136,\n 172, 58, 132, 93, 234, 127, 162, 21, 54, 103, 67, 109,\n ],\n lipsUpperOuter: [61, 185, 40, 39, 37, 0, 267, 269, 270, 409, 291],\n lipsLowerOuter: [146, 91, 181, 84, 17, 314, 405, 321, 375, 291],\n lipsUpperInner: [78, 191, 80, 81, 82, 13, 312, 311, 310, 415, 308],\n lipsLowerInner: [78, 95, 88, 178, 87, 14, 317, 402, 318, 324, 308],\n rightEyeUpper0: [246, 161, 160, 159, 158, 157, 173],\n rightEyeLower0: [33, 7, 163, 144, 145, 153, 154, 155, 133],\n rightEyeUpper1: [247, 30, 29, 27, 28, 56, 190],\n rightEyeLower1: [130, 25, 110, 24, 23, 22, 26, 112, 243],\n rightEyeUpper2: [113, 225, 224, 223, 222, 221, 189],\n rightEyeLower2: [226, 31, 228, 229, 230, 231, 232, 233, 244],\n rightEyeLower3: [143, 111, 117, 118, 119, 120, 121, 128, 245],\n rightEyebrowUpper: [156, 70, 63, 105, 66, 107, 55, 193],\n rightEyebrowLower: [35, 124, 46, 53, 52, 65],\n rightEyeIris: [473, 474, 475, 476, 477],\n leftEyeUpper0: [466, 388, 387, 386, 385, 384, 398],\n leftEyeLower0: [263, 249, 390, 373, 374, 380, 381, 382, 362],\n leftEyeUpper1: [467, 260, 259, 257, 258, 286, 414],\n leftEyeLower1: [359, 255, 339, 254, 253, 252, 256, 341, 463],\n leftEyeUpper2: [342, 445, 444, 443, 442, 441, 413],\n leftEyeLower2: [446, 261, 448, 449, 450, 451, 452, 453, 464],\n leftEyeLower3: [372, 340, 346, 347, 348, 349, 350, 357, 465],\n leftEyebrowUpper: [383, 300, 293, 334, 296, 336, 285, 417],\n leftEyebrowLower: [265, 353, 276, 283, 282, 295],\n leftEyeIris: [468, 469, 470, 471, 472],\n midwayBetweenEyes: [168],\n noseTip: [1],\n noseBottom: [2],\n noseRightCorner: [98],\n noseLeftCorner: [327],\n rightCheek: [205],\n leftCheek: [425],\n};\n\nexport const MESH_TO_IRIS_INDICES_MAP = [ // A mapping from facemesh model keypoints to iris model keypoints.\n { key: 'EyeUpper0', indices: [9, 10, 11, 12, 13, 14, 15] },\n { key: 'EyeUpper1', indices: [25, 26, 27, 28, 29, 30, 31] },\n { key: 'EyeUpper2', indices: [41, 42, 43, 44, 45, 46, 47] },\n { key: 'EyeLower0', indices: [0, 1, 2, 3, 4, 5, 6, 7, 8] },\n { key: 'EyeLower1', indices: [16, 17, 18, 19, 20, 21, 22, 23, 24] },\n { key: 'EyeLower2', indices: [32, 33, 34, 35, 36, 37, 38, 39, 40] },\n { key: 'EyeLower3', indices: [54, 55, 56, 57, 58, 59, 60, 61, 62] },\n // { key: 'EyebrowUpper', indices: [63, 64, 65, 66, 67, 68, 69, 70] },\n // { key: 'EyebrowLower', indices: [48, 49, 50, 51, 52, 53] },\n];\n\nexport const UV468 = [\n [0.499976992607117, 0.652534008026123],\n [0.500025987625122, 0.547487020492554],\n [0.499974012374878, 0.602371990680695],\n [0.482113003730774, 0.471979022026062],\n [0.500150978565216, 0.527155995368958],\n [0.499909996986389, 0.498252987861633],\n [0.499523013830185, 0.40106201171875],\n [0.289712011814117, 0.380764007568359],\n [0.499954998493195, 0.312398016452789],\n [0.499987006187439, 0.269918978214264],\n [0.500023007392883, 0.107050001621246],\n [0.500023007392883, 0.666234016418457],\n [0.5000159740448, 0.679224014282227],\n [0.500023007392883, 0.692348003387451],\n [0.499976992607117, 0.695277988910675],\n [0.499976992607117, 0.70593398809433],\n [0.499976992607117, 0.719385027885437],\n [0.499976992607117, 0.737019002437592],\n [0.499967992305756, 0.781370997428894],\n [0.499816000461578, 0.562981009483337],\n [0.473773002624512, 0.573909997940063],\n [0.104906998574734, 0.254140973091125],\n [0.365929991006851, 0.409575998783112],\n [0.338757991790771, 0.41302502155304],\n [0.311120003461838, 0.409460008144379],\n [0.274657994508743, 0.389131009578705],\n [0.393361985683441, 0.403706014156342],\n [0.345234006643295, 0.344011008739471],\n [0.370094001293182, 0.346076011657715],\n [0.319321990013123, 0.347265005111694],\n [0.297903001308441, 0.353591024875641],\n [0.24779200553894, 0.410809993743896],\n [0.396889001131058, 0.842755019664764],\n [0.280097991228104, 0.375599980354309],\n [0.106310002505779, 0.399955987930298],\n [0.2099249958992, 0.391353011131287],\n [0.355807989835739, 0.534406006336212],\n [0.471751004457474, 0.65040397644043],\n [0.474155008792877, 0.680191993713379],\n [0.439785003662109, 0.657229006290436],\n [0.414617002010345, 0.66654098033905],\n [0.450374007225037, 0.680860996246338],\n [0.428770989179611, 0.682690978050232],\n [0.374971002340317, 0.727805018424988],\n [0.486716985702515, 0.547628998756409],\n [0.485300987958908, 0.527395009994507],\n [0.257764995098114, 0.314490020275116],\n [0.401223003864288, 0.455172002315521],\n [0.429818987846375, 0.548614978790283],\n [0.421351999044418, 0.533740997314453],\n [0.276895999908447, 0.532056987285614],\n [0.483370006084442, 0.499586999416351],\n [0.33721199631691, 0.282882988452911],\n [0.296391993761063, 0.293242990970612],\n [0.169294998049736, 0.193813979625702],\n [0.447580009698868, 0.302609980106354],\n [0.392390012741089, 0.353887975215912],\n [0.354490011930466, 0.696784019470215],\n [0.067304998636246, 0.730105042457581],\n [0.442739009857178, 0.572826027870178],\n [0.457098007202148, 0.584792017936707],\n [0.381974011659622, 0.694710969924927],\n [0.392388999462128, 0.694203019142151],\n [0.277076005935669, 0.271932005882263],\n [0.422551989555359, 0.563233017921448],\n [0.385919004678726, 0.281364023685455],\n [0.383103013038635, 0.255840003490448],\n [0.331431001424789, 0.119714021682739],\n [0.229923993349075, 0.232002973556519],\n [0.364500999450684, 0.189113974571228],\n [0.229622006416321, 0.299540996551514],\n [0.173287004232407, 0.278747975826263],\n [0.472878992557526, 0.666198015213013],\n [0.446828007698059, 0.668527007102966],\n [0.422762006521225, 0.673889994621277],\n [0.445307999849319, 0.580065965652466],\n [0.388103008270264, 0.693961024284363],\n [0.403039008378983, 0.706539988517761],\n [0.403629004955292, 0.693953037261963],\n [0.460041999816895, 0.557139039039612],\n 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[0.72012197971344, 0.714666962623596],\n [0.866151988506317, 0.682704985141754],\n [0.663187026977539, 0.644596993923187],\n [0.570082008838654, 0.466325998306274],\n [0.544561982154846, 0.548375964164734],\n [0.562758982181549, 0.558784961700439],\n [0.531987011432648, 0.530140042304993],\n [0.585271000862122, 0.335177004337311],\n [0.622952997684479, 0.32277899980545],\n [0.655896008014679, 0.320163011550903],\n [0.687132000923157, 0.322345972061157],\n [0.716481983661652, 0.333200991153717],\n [0.758756995201111, 0.382786989212036],\n [0.897013008594513, 0.468769013881683],\n [0.732392013072968, 0.424547016620636],\n [0.70211398601532, 0.433162987232208],\n [0.66652500629425, 0.433866024017334],\n [0.633504986763, 0.426087975502014],\n [0.603875994682312, 0.416586995124817],\n [0.579657971858978, 0.409945011138916],\n [0.992439985275269, 0.480777025222778],\n [0.567192018032074, 0.569419980049133],\n [0.54136598110199, 0.478899002075195],\n [0.526564002037048, 0.546118021011353],\n [0.523913025856018, 0.563830018043518],\n [0.531529009342194, 0.555056989192963],\n [0.566035985946655, 0.582329034805298],\n [0.51631098985672, 0.563053965568542],\n [0.5174720287323, 0.577877044677734],\n [0.573594987392426, 0.389806985855103],\n [0.560697972774506, 0.395331978797913],\n [0.549755990505219, 0.399751007556915],\n [0.710287988185883, 0.368252992630005],\n [0.723330020904541, 0.363372981548309],\n];\n\nexport const TRI468 = [\n 127, 34, 139, 11, 0, 37, 232, 231, 120, 72, 37, 39, 128, 121, 47, 232, 121, 128, 104, 69, 67, 175, 171, 148, 157, 154, 155, 118, 50, 101, 73, 39, 40, 9,\n 151, 108, 48, 115, 131, 194, 204, 211, 74, 40, 185, 80, 42, 183, 40, 92, 186, 230, 229, 118, 202, 212, 214, 83, 18, 17, 76, 61, 146, 160, 29, 30, 56,\n 157, 173, 106, 204, 194, 135, 214, 192, 203, 165, 98, 21, 71, 68, 51, 45, 4, 144, 24, 23, 77, 146, 91, 205, 50, 187, 201, 200, 18, 91, 106, 182, 90, 91,\n 181, 85, 84, 17, 206, 203, 36, 148, 171, 140, 92, 40, 39, 193, 189, 244, 159, 158, 28, 247, 246, 161, 236, 3, 196, 54, 68, 104, 193, 168, 8, 117,\n 228, 31, 189, 193, 55, 98, 97, 99, 126, 47, 100, 166, 79, 218, 155, 154, 26, 209, 49, 131, 135, 136, 150, 47, 126, 217, 223, 52, 53, 45, 51, 134, 211,\n 170, 140, 67, 69, 108, 43, 106, 91, 230, 119, 120, 226, 130, 247, 63, 53, 52, 238, 20, 242, 46, 70, 156, 78, 62, 96, 46, 53, 63, 143, 34, 227, 173,\n 155, 133, 123, 117, 111, 44, 125, 19, 236, 134, 51, 216, 206, 205, 154, 153, 22, 39, 37, 167, 200, 201, 208, 36, 142, 100, 57, 212, 202, 20, 60, 99, 28,\n 158, 157, 35, 226, 113, 160, 159, 27, 204, 202, 210, 113, 225, 46, 43, 202, 204, 62, 76, 77, 137, 123, 116, 41, 38, 72, 203, 129, 142, 64, 98, 240, 49,\n 102, 64, 41, 73, 74, 212, 216, 207, 42, 74, 184, 169, 170, 211, 170, 149, 176, 105, 66, 69, 122, 6, 168, 123, 147, 187, 96, 77, 90, 65, 55, 107, 89,\n 90, 180, 101, 100, 120, 63, 105, 104, 93, 137, 227, 15, 86, 85, 129, 102, 49, 14, 87, 86, 55, 8, 9, 100, 47, 121, 145, 23, 22, 88, 89, 179, 6, 122,\n 196, 88, 95, 96, 138, 172, 136, 215, 58, 172, 115, 48, 219, 42, 80, 81, 195, 3, 51, 43, 146, 61, 171, 175, 199, 81, 82, 38, 53, 46, 225, 144, 163, 110,\n 246, 33, 7, 52, 65, 66, 229, 228, 117, 34, 127, 234, 107, 108, 69, 109, 108, 151, 48, 64, 235, 62, 78, 191, 129, 209, 126, 111, 35, 143, 163, 161, 246,\n 117, 123, 50, 222, 65, 52, 19, 125, 141, 221, 55, 65, 3, 195, 197, 25, 7, 33, 220, 237, 44, 70, 71, 139, 122, 193, 245, 247, 130, 33, 71, 21, 162,\n 153, 158, 159, 170, 169, 150, 188, 174, 196, 216, 186, 92, 144, 160, 161, 2, 97, 167, 141, 125, 241, 164, 167, 37, 72, 38, 12, 145, 159, 160, 38, 82, 13,\n 63, 68, 71, 226, 35, 111, 158, 153, 154, 101, 50, 205, 206, 92, 165, 209, 198, 217, 165, 167, 97, 220, 115, 218, 133, 112, 243, 239, 238, 241, 214,\n 135, 169, 190, 173, 133, 171, 208, 32, 125, 44, 237, 86, 87, 178, 85, 86, 179, 84, 85, 180, 83, 84, 181, 201, 83, 182, 137, 93, 132, 76, 62, 183, 61,\n 76, 184, 57, 61, 185, 212, 57, 186, 214, 207, 187, 34, 143, 156, 79, 239, 237, 123, 137, 177, 44, 1, 4, 201, 194, 32, 64, 102, 129, 213, 215, 138, 59,\n 166, 219, 242, 99, 97, 2, 94, 141, 75, 59, 235, 24, 110, 228, 25, 130, 226, 23, 24, 229, 22, 23, 230, 26, 22, 231, 112, 26, 232, 189, 190, 243, 221, 56,\n 190, 28, 56, 221, 27, 28, 222, 29, 27, 223, 30, 29, 224, 247, 30, 225, 238, 79, 20, 166, 59, 75, 60, 75, 240, 147, 177, 215, 20, 79, 166, 187, 147, 213,\n 112, 233, 244, 233, 128, 245, 128, 114, 188, 114, 217, 174, 131, 115, 220, 217, 198, 236, 198, 131, 134, 177, 132, 58, 143, 35, 124, 110, 163, 7, 228,\n 110, 25, 356, 389, 368, 11, 302, 267, 452, 350, 349, 302, 303, 269, 357, 343, 277, 452, 453, 357, 333, 332, 297, 175, 152, 377, 384, 398, 382, 347,\n 348, 330, 303, 304, 270, 9, 336, 337, 278, 279, 360, 418, 262, 431, 304, 408, 409, 310, 415, 407, 270, 409, 410, 450, 348, 347, 422, 430, 434, 313,\n 314, 17, 306, 307, 375, 387, 388, 260, 286, 414, 398, 335, 406, 418, 364, 367, 416, 423, 358, 327, 251, 284, 298, 281, 5, 4, 373, 374, 253, 307, 320,\n 321, 425, 427, 411, 421, 313, 18, 321, 405, 406, 320, 404, 405, 315, 16, 17, 426, 425, 266, 377, 400, 369, 322, 391, 269, 417, 465, 464, 386, 257, 258,\n 466, 260, 388, 456, 399, 419, 284, 332, 333, 417, 285, 8, 346, 340, 261, 413, 441, 285, 327, 460, 328, 355, 371, 329, 392, 439, 438, 382, 341, 256,\n 429, 420, 360, 364, 394, 379, 277, 343, 437, 443, 444, 283, 275, 440, 363, 431, 262, 369, 297, 338, 337, 273, 375, 321, 450, 451, 349, 446, 342, 467,\n 293, 334, 282, 458, 461, 462, 276, 353, 383, 308, 324, 325, 276, 300, 293, 372, 345, 447, 382, 398, 362, 352, 345, 340, 274, 1, 19, 456, 248, 281, 436,\n 427, 425, 381, 256, 252, 269, 391, 393, 200, 199, 428, 266, 330, 329, 287, 273, 422, 250, 462, 328, 258, 286, 384, 265, 353, 342, 387, 259, 257, 424,\n 431, 430, 342, 353, 276, 273, 335, 424, 292, 325, 307, 366, 447, 345, 271, 303, 302, 423, 266, 371, 294, 455, 460, 279, 278, 294, 271, 272, 304, 432,\n 434, 427, 272, 407, 408, 394, 430, 431, 395, 369, 400, 334, 333, 299, 351, 417, 168, 352, 280, 411, 325, 319, 320, 295, 296, 336, 319, 403, 404, 330,\n 348, 349, 293, 298, 333, 323, 454, 447, 15, 16, 315, 358, 429, 279, 14, 15, 316, 285, 336, 9, 329, 349, 350, 374, 380, 252, 318, 402, 403, 6, 197, 419,\n 318, 319, 325, 367, 364, 365, 435, 367, 397, 344, 438, 439, 272, 271, 311, 195, 5, 281, 273, 287, 291, 396, 428, 199, 311, 271, 268, 283, 444, 445,\n 373, 254, 339, 263, 466, 249, 282, 334, 296, 449, 347, 346, 264, 447, 454, 336, 296, 299, 338, 10, 151, 278, 439, 455, 292, 407, 415, 358, 371, 355,\n 340, 345, 372, 390, 249, 466, 346, 347, 280, 442, 443, 282, 19, 94, 370, 441, 442, 295, 248, 419, 197, 263, 255, 359, 440, 275, 274, 300, 383, 368,\n 351, 412, 465, 263, 467, 466, 301, 368, 389, 380, 374, 386, 395, 378, 379, 412, 351, 419, 436, 426, 322, 373, 390, 388, 2, 164, 393, 370, 462, 461,\n 164, 0, 267, 302, 11, 12, 374, 373, 387, 268, 12, 13, 293, 300, 301, 446, 261, 340, 385, 384, 381, 330, 266, 425, 426, 423, 391, 429, 355, 437, 391,\n 327, 326, 440, 457, 438, 341, 382, 362, 459, 457, 461, 434, 430, 394, 414, 463, 362, 396, 369, 262, 354, 461, 457, 316, 403, 402, 315, 404, 403, 314,\n 405, 404, 313, 406, 405, 421, 418, 406, 366, 401, 361, 306, 408, 407, 291, 409, 408, 287, 410, 409, 432, 436, 410, 434, 416, 411, 264, 368, 383, 309,\n 438, 457, 352, 376, 401, 274, 275, 4, 421, 428, 262, 294, 327, 358, 433, 416, 367, 289, 455, 439, 462, 370, 326, 2, 326, 370, 305, 460, 455, 254,\n 449, 448, 255, 261, 446, 253, 450, 449, 252, 451, 450, 256, 452, 451, 341, 453, 452, 413, 464, 463, 441, 413, 414, 258, 442, 441, 257, 443, 442, 259,\n 444, 443, 260, 445, 444, 467, 342, 445, 459, 458, 250, 289, 392, 290, 290, 328, 460, 376, 433, 435, 250, 290, 392, 411, 416, 433, 341, 463, 464, 453,\n 464, 465, 357, 465, 412, 343, 412, 399, 360, 363, 440, 437, 399, 456, 420, 456, 363, 401, 435, 288, 372, 383, 353, 339, 255, 249, 448, 261, 255, 133,\n 243, 190, 133, 155, 112, 33, 246, 247, 33, 130, 25, 398, 384, 286, 362, 398, 414, 362, 463, 341, 263, 359, 467, 263, 249, 255, 466, 467, 260, 75, 60,\n 166, 238, 239, 79, 162, 127, 139, 72, 11, 37, 121, 232, 120, 73, 72, 39, 114, 128, 47, 233, 232, 128, 103, 104, 67, 152, 175, 148, 173, 157, 155,\n 119, 118, 101, 74, 73, 40, 107, 9, 108, 49, 48, 131, 32, 194, 211, 184, 74, 185, 191, 80, 183, 185, 40, 186, 119, 230, 118, 210, 202, 214, 84, 83, 17,\n 77, 76, 146, 161, 160, 30, 190, 56, 173, 182, 106, 194, 138, 135, 192, 129, 203, 98, 54, 21, 68, 5, 51, 4, 145, 144, 23, 90, 77, 91, 207, 205, 187, 83,\n 201, 18, 181, 91, 182, 180, 90, 181, 16, 85, 17, 205, 206, 36, 176, 148, 140, 165, 92, 39, 245, 193, 244, 27, 159, 28, 30, 247, 161, 174, 236, 196,\n 103, 54, 104, 55, 193, 8, 111, 117, 31, 221, 189, 55, 240, 98, 99, 142, 126, 100, 219, 166, 218, 112, 155, 26, 198, 209, 131, 169, 135, 150, 114, 47,\n 217, 224, 223, 53, 220, 45, 134, 32, 211, 140, 109, 67, 108, 146, 43, 91, 231, 230, 120, 113, 226, 247, 105, 63, 52, 241, 238, 242, 124, 46, 156, 95,\n 78, 96, 70, 46, 63, 116, 143, 227, 116, 123, 111, 1, 44, 19, 3, 236, 51, 207, 216, 205, 26, 154, 22, 165, 39, 167, 199, 200, 208, 101, 36, 100, 43,\n 57, 202, 242, 20, 99, 56, 28, 157, 124, 35, 113, 29, 160, 27, 211, 204, 210, 124, 113, 46, 106, 43, 204, 96, 62, 77, 227, 137, 116, 73, 41, 72, 36, 203,\n 142, 235, 64, 240, 48, 49, 64, 42, 41, 74, 214, 212, 207, 183, 42, 184, 210, 169, 211, 140, 170, 176, 104, 105, 69, 193, 122, 168, 50, 123, 187, 89, 96,\n 90, 66, 65, 107, 179, 89, 180, 119, 101, 120, 68, 63, 104, 234, 93, 227, 16, 15, 85, 209, 129, 49, 15, 14, 86, 107, 55, 9, 120, 100, 121, 153, 145, 22,\n 178, 88, 179, 197, 6, 196, 89, 88, 96, 135, 138, 136, 138, 215, 172, 218, 115, 219, 41, 42, 81, 5, 195, 51, 57, 43, 61, 208, 171, 199, 41, 81, 38,\n 224, 53, 225, 24, 144, 110, 105, 52, 66, 118, 229, 117, 227, 34, 234, 66, 107, 69, 10, 109, 151, 219, 48, 235, 183, 62, 191, 142, 129, 126, 116, 111,\n 143, 7, 163, 246, 118, 117, 50, 223, 222, 52, 94, 19, 141, 222, 221, 65, 196, 3, 197, 45, 220, 44, 156, 70, 139, 188, 122, 245, 139, 71, 162, 145,\n 153, 159, 149, 170, 150, 122, 188, 196, 206, 216, 92, 163, 144, 161, 164, 2, 167, 242, 141, 241, 0, 164, 37, 11, 72, 12, 144, 145, 160, 12, 38, 13, 70,\n 63, 71, 31, 226, 111, 157, 158, 154, 36, 101, 205, 203, 206, 165, 126, 209, 217, 98, 165, 97, 237, 220, 218, 237, 239, 241, 210, 214, 169, 140, 171, 32,\n 241, 125, 237, 179, 86, 178, 180, 85, 179, 181, 84, 180, 182, 83, 181, 194, 201, 182, 177, 137, 132, 184, 76, 183, 185, 61, 184, 186, 57, 185, 216, 212,\n 186, 192, 214, 187, 139, 34, 156, 218, 79, 237, 147, 123, 177, 45, 44, 4, 208, 201, 32, 98, 64, 129, 192, 213, 138, 235, 59, 219, 141, 242, 97, 97, 2,\n 141, 240, 75, 235, 229, 24, 228, 31, 25, 226, 230, 23, 229, 231, 22, 230, 232, 26, 231, 233, 112, 232, 244, 189, 243, 189, 221, 190, 222, 28, 221,\n 223, 27, 222, 224, 29, 223, 225, 30, 224, 113, 247, 225, 99, 60, 240, 213, 147, 215, 60, 20, 166, 192, 187, 213, 243, 112, 244, 244, 233, 245, 245,\n 128, 188, 188, 114, 174, 134, 131, 220, 174, 217, 236, 236, 198, 134, 215, 177, 58, 156, 143, 124, 25, 110, 7, 31, 228, 25, 264, 356, 368, 0, 11, 267,\n 451, 452, 349, 267, 302, 269, 350, 357, 277, 350, 452, 357, 299, 333, 297, 396, 175, 377, 381, 384, 382, 280, 347, 330, 269, 303, 270, 151, 9, 337,\n 344, 278, 360, 424, 418, 431, 270, 304, 409, 272, 310, 407, 322, 270, 410, 449, 450, 347, 432, 422, 434, 18, 313, 17, 291, 306, 375, 259, 387, 260,\n 424, 335, 418, 434, 364, 416, 391, 423, 327, 301, 251, 298, 275, 281, 4, 254, 373, 253, 375, 307, 321, 280, 425, 411, 200, 421, 18, 335, 321, 406,\n 321, 320, 405, 314, 315, 17, 423, 426, 266, 396, 377, 369, 270, 322, 269, 413, 417, 464, 385, 386, 258, 248, 456, 419, 298, 284, 333, 168, 417, 8,\n 448, 346, 261, 417, 413, 285, 326, 327, 328, 277, 355, 329, 309, 392, 438, 381, 382, 256, 279, 429, 360, 365, 364, 379, 355, 277, 437, 282, 443, 283,\n 281, 275, 363, 395, 431, 369, 299, 297, 337, 335, 273, 321, 348, 450, 349, 359, 446, 467, 283, 293, 282, 250, 458, 462, 300, 276, 383, 292, 308, 325,\n 283, 276, 293, 264, 372, 447, 346, 352, 340, 354, 274, 19, 363, 456, 281, 426, 436, 425, 380, 381, 252, 267, 269, 393, 421, 200, 428, 371, 266, 329,\n 432, 287, 422, 290, 250, 328, 385, 258, 384, 446, 265, 342, 386, 387, 257, 422, 424, 430, 445, 342, 276, 422, 273, 424, 306, 292, 307, 352, 366, 345,\n 268, 271, 302, 358, 423, 371, 327, 294, 460, 331, 279, 294, 303, 271, 304, 436, 432, 427, 304, 272, 408, 395, 394, 431, 378, 395, 400, 296, 334, 299,\n 6, 351, 168, 376, 352, 411, 307, 325, 320, 285, 295, 336, 320, 319, 404, 329, 330, 349, 334, 293, 333, 366, 323, 447, 316, 15, 315, 331, 358, 279,\n 317, 14, 316, 8, 285, 9, 277, 329, 350, 253, 374, 252, 319, 318, 403, 351, 6, 419, 324, 318, 325, 397, 367, 365, 288, 435, 397, 278, 344, 439, 310,\n 272, 311, 248, 195, 281, 375, 273, 291, 175, 396, 199, 312, 311, 268, 276, 283, 445, 390, 373, 339, 295, 282, 296, 448, 449, 346, 356, 264, 454, 337,\n 336, 299, 337, 338, 151, 294, 278, 455, 308, 292, 415, 429, 358, 355, 265, 340, 372, 388, 390, 466, 352, 346, 280, 295, 442, 282, 354, 19, 370, 285,\n 441, 295, 195, 248, 197, 457, 440, 274, 301, 300, 368, 417, 351, 465, 251, 301, 389, 385, 380, 386, 394, 395, 379, 399, 412, 419, 410, 436, 322, 387,\n 373, 388, 326, 2, 393, 354, 370, 461, 393, 164, 267, 268, 302, 12, 386, 374, 387, 312, 268, 13, 298, 293, 301, 265, 446, 340, 380, 385, 381, 280, 330,\n 425, 322, 426, 391, 420, 429, 437, 393, 391, 326, 344, 440, 438, 458, 459, 461, 364, 434, 394, 428, 396, 262, 274, 354, 457, 317, 316, 402, 316, 315,\n 403, 315, 314, 404, 314, 313, 405, 313, 421, 406, 323, 366, 361, 292, 306, 407, 306, 291, 408, 291, 287, 409, 287, 432, 410, 427, 434, 411, 372, 264,\n 383, 459, 309, 457, 366, 352, 401, 1, 274, 4, 418, 421, 262, 331, 294, 358, 435, 433, 367, 392, 289, 439, 328, 462, 326, 94, 2, 370, 289, 305, 455, 339,\n 254, 448, 359, 255, 446, 254, 253, 449, 253, 252, 450, 252, 256, 451, 256, 341, 452, 414, 413, 463, 286, 441, 414, 286, 258, 441, 258, 257, 442, 257,\n 259, 443, 259, 260, 444, 260, 467, 445, 309, 459, 250, 305, 289, 290, 305, 290, 460, 401, 376, 435, 309, 250, 392, 376, 411, 433, 453, 341, 464, 357,\n 453, 465, 343, 357, 412, 437, 343, 399, 344, 360, 440, 420, 437, 456, 360, 420, 363, 361, 401, 288, 265, 372, 353, 390, 339, 249, 339, 448, 255];\n\nexport const TRI68 = [0, 1, 36, 0, 36, 17, 1, 2, 41, 1, 41, 36, 2, 3, 31, 2, 31, 41, 3, 4, 48, 3, 48, 31, 4, 5, 48, 5, 6, 48, 6, 7, 59, 6, 59, 48, 7, 8, 58, 7, 58, 59,\n 8, 9, 56, 8, 56, 57, 8, 57, 58, 9, 10, 55, 9, 55, 56, 10, 11, 54, 10, 54, 55, 11, 12, 54, 12, 13, 54, 13, 14, 35, 13, 35, 54, 14, 15, 46, 14, 46, 35, 15, 16,\n 45, 15, 45, 46, 16, 26, 45, 17, 36, 18, 18, 37, 19, 18, 36, 37, 19, 38, 20, 19, 37, 38, 20, 39, 21, 20, 38, 39, 21, 39, 27, 22, 42, 23, 22, 27, 42, 23, 43, 24,\n 23, 42, 43, 24, 44, 25, 24, 43, 44, 25, 45, 26, 25, 44, 45, 27, 39, 28, 27, 28, 42, 28, 39, 29, 28, 29, 42, 29, 31, 30, 29, 30, 35, 29, 40, 31, 29, 35, 47, 29,\n 39, 40, 29, 47, 42, 30, 31, 32, 30, 32, 33, 30, 33, 34, 30, 34, 35, 31, 50, 32, 31, 40, 41, 31, 48, 49, 31, 49, 50, 32, 51, 33, 32, 50, 51, 33, 51, 34, 34, 52,\n 35, 34, 51, 52, 35, 46, 47, 35, 52, 53, 35, 53, 54, 36, 41, 37, 37, 40, 38, 37, 41, 40, 38, 40, 39, 42, 47, 43, 43, 47, 44, 44, 46, 45, 44, 47, 46, 48, 60, 49,\n 48, 59, 60, 49, 61, 50, 49, 60, 61, 50, 62, 51, 50, 61, 62, 51, 62, 52, 52, 63, 53, 52, 62, 63, 53, 64, 54, 53, 63, 64, 54, 64, 55, 55, 65, 56, 55, 64, 65, 56,\n 66, 57, 56, 65, 66, 57, 66, 58, 58, 67, 59, 58, 66, 67, 59, 67, 60, 60, 67, 61, 61, 66, 62, 61, 67, 66, 62, 66, 63, 63, 65, 64, 63, 66, 65, 21, 27, 22];\n\nexport const TRI33 = [\n /* eyes */ 0, 8, 7, 7, 8, 1, 2, 10, 9, 9, 10, 3,\n /* brows */ 17, 0, 18, 18, 0, 7, 18, 7, 19, 19, 7, 1, 19, 1, 11, 19, 11, 20, 21, 3, 22, 21, 9, 3, 20, 9, 21, 20, 2, 9, 20, 11, 2,\n /* 4head */ 23, 17, 18, 25, 21, 22, 24, 19, 20, 24, 18, 19, 24, 20, 21, 24, 23, 18, 24, 21, 25,\n /* nose */ 11, 12, 4, 11, 4, 13, 1, 12, 11, 11, 13, 2, 12, 14, 4, 4, 14, 13,\n /* up-lip */ 14, 5, 15, 14, 15, 6, 12, 5, 14, 14, 6, 13,\n /* cheeks */ 8, 12, 1, 2, 13, 10, 8, 26, 12, 10, 13, 27, 26, 5, 12, 13, 6, 27, 0, 26, 8, 10, 27, 3,\n /* chin */ 5, 32, 16, 16, 32, 6, 5, 30, 32, 6, 32, 31,\n /* cont */ 26, 30, 5, 27, 6, 31, 0, 28, 26, 3, 27, 29, 17, 28, 0, 3, 29, 22, 23, 28, 17, 22, 29, 25, 28, 30, 26, 27, 31, 29,\n];\n\nexport const TRI7 = [0, 4, 1, 2, 4, 3, 4, 5, 6];\n\nexport const VTX68 = [\n /* cont */ 127, 234, 132, 58, 172, 150, 149, 148, 152, 377, 378, 379, 397, 288, 361, 454, 356,\n /* brows */ 70, 63, 105, 66, 107, 336, 296, 334, 293, 300,\n /* nose */ 168, 6, 195, 4, 98, 97, 2, 326, 327,\n /* eyes */ 33, 160, 158, 133, 153, 144, 362, 385, 387, 263, 373, 380,\n /* lip */ 57, 40, 37, 0, 267, 270, 287, 321, 314, 17, 84, 91,\n /* mouth */ 78, 81, 13, 311, 308, 402, 14, 178,\n];\n\nexport const VTX33 = [33, 133, 362, 263, 1, 62, 308, 159, 145, 386, 374, 6, 102, 331, 2, 13, 14, 70, 105, 107, 336, 334, 300, 54, 10, 284, 50, 280, 234, 454, 58, 288, 152];\n\nexport const VTX7 = [33, 133, 362, 263, 1, 78, 308];\n\nexport const UV68 = VTX68.map((x) => UV468[x]);\n\nexport const UV33 = VTX33.map((x) => UV468[x]);\n\nexport const UV7 = VTX7.map((x) => UV468[x]);\n", "/* eslint-disable class-methods-use-this */\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as bounding from './box';\nimport * as util from './util';\nimport * as coords from './coords';\n\nconst LANDMARKS_COUNT = 468;\nconst MESH_MOUTH_INDEX = 13;\nconst MESH_KEYPOINTS_LINE_OF_SYMMETRY_INDICES = [MESH_MOUTH_INDEX, coords.MESH_ANNOTATIONS['midwayBetweenEyes'][0]];\nconst BLAZEFACE_MOUTH_INDEX = 3;\nconst BLAZEFACE_NOSE_INDEX = 2;\nconst BLAZEFACE_KEYPOINTS_LINE_OF_SYMMETRY_INDICES = [BLAZEFACE_MOUTH_INDEX, BLAZEFACE_NOSE_INDEX];\nconst LEFT_EYE_OUTLINE = coords.MESH_ANNOTATIONS['leftEyeLower0'];\nconst LEFT_EYE_BOUNDS = [LEFT_EYE_OUTLINE[0], LEFT_EYE_OUTLINE[LEFT_EYE_OUTLINE.length - 1]];\nconst RIGHT_EYE_OUTLINE = coords.MESH_ANNOTATIONS['rightEyeLower0'];\nconst RIGHT_EYE_BOUNDS = [RIGHT_EYE_OUTLINE[0], RIGHT_EYE_OUTLINE[RIGHT_EYE_OUTLINE.length - 1]];\nconst IRIS_UPPER_CENTER_INDEX = 3;\nconst IRIS_LOWER_CENTER_INDEX = 4;\nconst IRIS_IRIS_INDEX = 71;\nconst IRIS_NUM_COORDINATES = 76;\n\n// Replace the raw coordinates returned by facemesh with refined iris model coordinates. Update the z coordinate to be an average of the original and the new. This produces the best visual effect.\nfunction replaceRawCoordinates(rawCoords, newCoords, prefix, keys = null) {\n for (let i = 0; i < coords.MESH_TO_IRIS_INDICES_MAP.length; i++) {\n const { key, indices } = coords.MESH_TO_IRIS_INDICES_MAP[i];\n const originalIndices = coords.MESH_ANNOTATIONS[`${prefix}${key}`];\n // @ts-ignore\n if (!keys || keys.includes(key)) {\n for (let j = 0; j < indices.length; j++) {\n const index = indices[j];\n rawCoords[originalIndices[j]] = [\n newCoords[index][0], newCoords[index][1],\n (newCoords[index][2] + rawCoords[originalIndices[j]][2]) / 2,\n ];\n }\n }\n }\n}\n// The Pipeline coordinates between the bounding box and skeleton models.\nexport class Pipeline {\n storedBoxes: any;\n runsWithoutFaceDetector: number;\n boundingBoxDetector: any;\n meshDetector: any;\n irisModel: any;\n meshWidth: number;\n meshHeight: number;\n irisSize: number;\n irisEnlarge: number;\n skipped: number;\n detectedFaces: number;\n\n constructor(boundingBoxDetector, meshDetector, irisModel, config) {\n // An array of facial bounding boxes.\n this.storedBoxes = [];\n this.runsWithoutFaceDetector = 0;\n this.boundingBoxDetector = boundingBoxDetector;\n this.meshDetector = meshDetector;\n this.irisModel = irisModel;\n this.meshWidth = config.face.mesh.inputSize;\n this.meshHeight = config.face.mesh.inputSize;\n this.irisSize = config.face.iris.inputSize;\n this.irisEnlarge = 2.3;\n this.skipped = 0;\n this.detectedFaces = 0;\n }\n\n transformRawCoords(rawCoords, box, angle, rotationMatrix) {\n const boxSize = bounding.getBoxSize({ startPoint: box.startPoint, endPoint: box.endPoint });\n const scaleFactor = [boxSize[0] / this.meshWidth, boxSize[1] / this.meshHeight];\n const coordsScaled = rawCoords.map((coord) => ([\n scaleFactor[0] * (coord[0] - this.meshWidth / 2),\n scaleFactor[1] * (coord[1] - this.meshHeight / 2), coord[2],\n ]));\n const coordsRotationMatrix = (angle !== 0) ? util.buildRotationMatrix(angle, [0, 0]) : util.IDENTITY_MATRIX;\n const coordsRotated = (angle !== 0) ? coordsScaled.map((coord) => ([...util.rotatePoint(coord, coordsRotationMatrix), coord[2]])) : coordsScaled;\n const inverseRotationMatrix = (angle !== 0) ? util.invertTransformMatrix(rotationMatrix) : util.IDENTITY_MATRIX;\n const boxCenter = [...bounding.getBoxCenter({ startPoint: box.startPoint, endPoint: box.endPoint }), 1];\n return coordsRotated.map((coord) => ([\n coord[0] + util.dot(boxCenter, inverseRotationMatrix[0]),\n coord[1] + util.dot(boxCenter, inverseRotationMatrix[1]),\n coord[2],\n ]));\n }\n\n getLeftToRightEyeDepthDifference(rawCoords) {\n const leftEyeZ = rawCoords[LEFT_EYE_BOUNDS[0]][2];\n const rightEyeZ = rawCoords[RIGHT_EYE_BOUNDS[0]][2];\n return leftEyeZ - rightEyeZ;\n }\n\n // Returns a box describing a cropped region around the eye fit for passing to the iris model.\n getEyeBox(rawCoords, face, eyeInnerCornerIndex, eyeOuterCornerIndex, flip = false) {\n const box = bounding.squarifyBox(bounding.enlargeBox(this.calculateLandmarksBoundingBox([rawCoords[eyeInnerCornerIndex], rawCoords[eyeOuterCornerIndex]]), this.irisEnlarge));\n const boxSize = bounding.getBoxSize(box);\n let crop = tf.image.cropAndResize(face, [[\n box.startPoint[1] / this.meshHeight,\n box.startPoint[0] / this.meshWidth, box.endPoint[1] / this.meshHeight,\n box.endPoint[0] / this.meshWidth,\n ]], [0], [this.irisSize, this.irisSize]);\n if (flip) {\n crop = tf.image.flipLeftRight(crop);\n }\n return { box, boxSize, crop };\n }\n\n // Given a cropped image of an eye, returns the coordinates of the contours surrounding the eye and the iris.\n getEyeCoords(eyeData, eyeBox, eyeBoxSize, flip = false) {\n const eyeRawCoords: Array = [];\n for (let i = 0; i < IRIS_NUM_COORDINATES; i++) {\n const x = eyeData[i * 3];\n const y = eyeData[i * 3 + 1];\n const z = eyeData[i * 3 + 2];\n eyeRawCoords.push([\n (flip ? (1 - (x / this.irisSize)) : (x / this.irisSize)) * eyeBoxSize[0] + eyeBox.startPoint[0],\n (y / this.irisSize) * eyeBoxSize[1] + eyeBox.startPoint[1], z,\n ]);\n }\n return { rawCoords: eyeRawCoords, iris: eyeRawCoords.slice(IRIS_IRIS_INDEX) };\n }\n\n // The z-coordinates returned for the iris are unreliable, so we take the z values from the surrounding keypoints.\n getAdjustedIrisCoords(rawCoords, irisCoords, direction) {\n const upperCenterZ = rawCoords[coords.MESH_ANNOTATIONS[`${direction}EyeUpper0`][IRIS_UPPER_CENTER_INDEX]][2];\n const lowerCenterZ = rawCoords[coords.MESH_ANNOTATIONS[`${direction}EyeLower0`][IRIS_LOWER_CENTER_INDEX]][2];\n const averageZ = (upperCenterZ + lowerCenterZ) / 2;\n // Iris indices: 0: center | 1: right | 2: above | 3: left | 4: below\n return irisCoords.map((coord, i) => {\n let z = averageZ;\n if (i === 2) {\n z = upperCenterZ;\n } else if (i === 4) {\n z = lowerCenterZ;\n }\n return [coord[0], coord[1], z];\n });\n }\n\n async predict(input, config) {\n let useFreshBox = false;\n // run new detector every skipFrames unless we only want box to start with\n let detector;\n if ((this.skipped === 0) || (this.skipped > config.face.detector.skipFrames) || !config.face.mesh.enabled || !config.videoOptimized) {\n detector = await this.boundingBoxDetector.getBoundingBoxes(input);\n this.skipped = 0;\n }\n if (config.videoOptimized) this.skipped++;\n\n // if detector result count doesn't match current working set, use it to reset current working set\n if (detector && detector.boxes && (!config.face.mesh.enabled || (detector.boxes.length !== this.detectedFaces) && (this.detectedFaces !== config.face.detector.maxFaces))) {\n this.storedBoxes = [];\n this.detectedFaces = 0;\n for (const possible of detector.boxes) {\n this.storedBoxes.push({ startPoint: possible.box.startPoint.dataSync(), endPoint: possible.box.endPoint.dataSync(), landmarks: possible.landmarks, confidence: possible.confidence });\n }\n if (this.storedBoxes.length > 0) useFreshBox = true;\n }\n\n if (useFreshBox) {\n if (!detector || !detector.boxes || (detector.boxes.length === 0)) {\n this.storedBoxes = [];\n this.detectedFaces = 0;\n return null;\n }\n for (let i = 0; i < this.storedBoxes.length; i++) {\n const scaledBox = bounding.scaleBoxCoordinates({ startPoint: this.storedBoxes[i].startPoint, endPoint: this.storedBoxes[i].endPoint }, detector.scaleFactor);\n const enlargedBox = bounding.enlargeBox(scaledBox);\n const squarifiedBox = bounding.squarifyBox(enlargedBox);\n const landmarks = this.storedBoxes[i].landmarks.arraySync();\n const confidence = this.storedBoxes[i].confidence;\n this.storedBoxes[i] = { ...squarifiedBox, confidence, landmarks };\n }\n this.runsWithoutFaceDetector = 0;\n }\n if (detector && detector.boxes) {\n detector.boxes.forEach((prediction) => {\n prediction.box.startPoint.dispose();\n prediction.box.endPoint.dispose();\n prediction.landmarks.dispose();\n });\n }\n\n // log('face', `skipped: ${this.skipped} max: ${config.face.detector.maxFaces} detected: ${this.detectedFaces} stored: ${this.storedBoxes.length} new: ${detector?.boxes?.length}`);\n let results = tf.tidy(() => this.storedBoxes.map((box, i) => {\n // The facial bounding box landmarks could come either from blazeface (if we are using a fresh box), or from the mesh model (if we are reusing an old box).\n let face;\n let angle = 0;\n let rotationMatrix;\n if (config.face.detector.rotation) {\n const [indexOfMouth, indexOfForehead] = (box.landmarks.length >= LANDMARKS_COUNT) ? MESH_KEYPOINTS_LINE_OF_SYMMETRY_INDICES : BLAZEFACE_KEYPOINTS_LINE_OF_SYMMETRY_INDICES;\n angle = util.computeRotation(box.landmarks[indexOfMouth], box.landmarks[indexOfForehead]);\n const faceCenter = bounding.getBoxCenter({ startPoint: box.startPoint, endPoint: box.endPoint });\n const faceCenterNormalized = [faceCenter[0] / input.shape[2], faceCenter[1] / input.shape[1]];\n const rotatedImage = tf.image.rotateWithOffset(input, angle, 0, faceCenterNormalized);\n rotationMatrix = util.buildRotationMatrix(-angle, faceCenter);\n face = bounding.cutBoxFromImageAndResize({ startPoint: box.startPoint, endPoint: box.endPoint }, rotatedImage, [this.meshHeight, this.meshWidth]).div(255);\n } else {\n rotationMatrix = util.IDENTITY_MATRIX;\n const cloned = input.clone();\n face = bounding.cutBoxFromImageAndResize({ startPoint: box.startPoint, endPoint: box.endPoint }, cloned, [this.meshHeight, this.meshWidth]).div(255);\n }\n\n // if we're not going to produce mesh, don't spend time with further processing\n if (!config.face.mesh.enabled) {\n const prediction = {\n coords: null,\n box,\n faceConfidence: null,\n confidence: box.confidence,\n image: face,\n };\n return prediction;\n }\n\n const [, confidence, contourCoords] = this.meshDetector.predict(face); // The first returned tensor represents facial contours, which are included in the coordinates.\n const faceConfidence = confidence.dataSync()[0];\n if (faceConfidence < config.face.detector.minConfidence) return null; // if below confidence just exit\n const coordsReshaped = tf.reshape(contourCoords, [-1, 3]);\n let rawCoords = coordsReshaped.arraySync();\n\n if (config.face.iris.enabled) {\n const { box: leftEyeBox, boxSize: leftEyeBoxSize, crop: leftEyeCrop } = this.getEyeBox(rawCoords, face, LEFT_EYE_BOUNDS[0], LEFT_EYE_BOUNDS[1], true);\n const { box: rightEyeBox, boxSize: rightEyeBoxSize, crop: rightEyeCrop } = this.getEyeBox(rawCoords, face, RIGHT_EYE_BOUNDS[0], RIGHT_EYE_BOUNDS[1]);\n const eyePredictions = this.irisModel.predict(tf.concat([leftEyeCrop, rightEyeCrop]));\n const eyePredictionsData = eyePredictions.dataSync();\n const leftEyeData = eyePredictionsData.slice(0, IRIS_NUM_COORDINATES * 3);\n const { rawCoords: leftEyeRawCoords, iris: leftIrisRawCoords } = this.getEyeCoords(leftEyeData, leftEyeBox, leftEyeBoxSize, true);\n const rightEyeData = eyePredictionsData.slice(IRIS_NUM_COORDINATES * 3);\n const { rawCoords: rightEyeRawCoords, iris: rightIrisRawCoords } = this.getEyeCoords(rightEyeData, rightEyeBox, rightEyeBoxSize);\n const leftToRightEyeDepthDifference = this.getLeftToRightEyeDepthDifference(rawCoords);\n if (Math.abs(leftToRightEyeDepthDifference) < 30) { // User is looking straight ahead.\n replaceRawCoordinates(rawCoords, leftEyeRawCoords, 'left');\n replaceRawCoordinates(rawCoords, rightEyeRawCoords, 'right');\n // If the user is looking to the left or to the right, the iris coordinates tend to diverge too much from the mesh coordinates for them to be merged. So we only update a single contour line above and below the eye.\n } else if (leftToRightEyeDepthDifference < 1) { // User is looking towards the right.\n // @ts-ignore\n replaceRawCoordinates(rawCoords, leftEyeRawCoords, 'left', ['EyeUpper0', 'EyeLower0']);\n } else { // User is looking towards the left.\n // @ts-ignore\n replaceRawCoordinates(rawCoords, rightEyeRawCoords, 'right', ['EyeUpper0', 'EyeLower0']);\n }\n const adjustedLeftIrisCoords = this.getAdjustedIrisCoords(rawCoords, leftIrisRawCoords, 'left');\n const adjustedRightIrisCoords = this.getAdjustedIrisCoords(rawCoords, rightIrisRawCoords, 'right');\n rawCoords = rawCoords.concat(adjustedLeftIrisCoords).concat(adjustedRightIrisCoords);\n }\n\n const transformedCoordsData = this.transformRawCoords(rawCoords, box, angle, rotationMatrix);\n const landmarksBox = bounding.enlargeBox(this.calculateLandmarksBoundingBox(transformedCoordsData));\n const squarifiedLandmarksBox = bounding.squarifyBox(landmarksBox);\n const transformedCoords = tf.tensor2d(transformedCoordsData);\n const prediction = {\n coords: transformedCoords,\n box: landmarksBox,\n faceConfidence,\n confidence: box.confidence,\n image: face,\n rawCoords,\n };\n if (!config.face.mesh.returnRawData) delete prediction.rawCoords;\n this.storedBoxes[i] = { ...squarifiedLandmarksBox, landmarks: transformedCoords.arraySync(), confidence: box.confidence, faceConfidence };\n\n return prediction;\n }));\n results = results.filter((a) => a !== null);\n this.detectedFaces = results.length;\n return results;\n }\n\n calculateLandmarksBoundingBox(landmarks) {\n const xs = landmarks.map((d) => d[0]);\n const ys = landmarks.map((d) => d[1]);\n const startPoint = [Math.min(...xs), Math.min(...ys)];\n const endPoint = [Math.max(...xs), Math.max(...ys)];\n return { startPoint, endPoint, landmarks };\n }\n}\n", "import { log } from './log';\nimport * as tf from '../dist/tfjs.esm.js';\nimport * as backend from './tfjs/backend';\nimport * as facemesh from './blazeface/facemesh';\nimport * as faceboxes from './faceboxes/faceboxes';\nimport * as age from './age/age';\nimport * as gender from './gender/gender';\nimport * as emotion from './emotion/emotion';\nimport * as embedding from './embedding/embedding';\nimport * as posenet from './posenet/posenet';\nimport * as handpose from './handpose/handpose';\nimport * as gesture from './gesture/gesture';\nimport * as image from './image';\nimport * as profile from './profile';\nimport * as config from '../config';\nimport * as sample from './sample';\nimport * as app from '../package.json';\n\n// helper function: gets elapsed time on both browser and nodejs\nconst now = () => {\n if (typeof performance !== 'undefined') return performance.now();\n return parseInt((Number(process.hrtime.bigint()) / 1000 / 1000).toString());\n};\n\n// helper function: perform deep merge of multiple objects so it allows full inheriance with overrides\nfunction mergeDeep(...objects) {\n const isObject = (obj) => obj && typeof obj === 'object';\n return objects.reduce((prev, obj) => {\n Object.keys(obj || {}).forEach((key) => {\n const pVal = prev[key];\n const oVal = obj[key];\n if (Array.isArray(pVal) && Array.isArray(oVal)) {\n prev[key] = pVal.concat(...oVal);\n } else if (isObject(pVal) && isObject(oVal)) {\n prev[key] = mergeDeep(pVal, oVal);\n } else {\n prev[key] = oVal;\n }\n });\n return prev;\n }, {});\n}\n\nclass Human {\n tf: any;\n package: any;\n version: string;\n config: any;\n fx: any;\n state: string;\n numTensors: number;\n analyzeMemoryLeaks: boolean;\n checkSanity: boolean;\n firstRun: boolean;\n perf: any;\n models: any;\n // models\n facemesh: any;\n age: any;\n gender: any;\n emotion: any;\n body: any;\n hand: any;\n\n constructor(userConfig = {}) {\n this.tf = tf;\n this.package = app;\n this.version = app.version;\n this.config = mergeDeep(config.default, userConfig);\n this.fx = null;\n this.state = 'idle';\n this.numTensors = 0;\n this.analyzeMemoryLeaks = false;\n this.checkSanity = false;\n this.firstRun = true;\n this.perf = {};\n // object that contains all initialized models\n this.models = {\n facemesh: null,\n posenet: null,\n handpose: null,\n iris: null,\n age: null,\n gender: null,\n emotion: null,\n };\n // export raw access to underlying models\n this.facemesh = facemesh;\n this.age = age;\n this.gender = gender;\n this.emotion = emotion;\n this.body = posenet;\n this.hand = handpose;\n }\n\n profile() {\n if (this.config.profile) return profile.data;\n return {};\n }\n\n // helper function: measure tensor leak\n analyze(...msg) {\n if (!this.analyzeMemoryLeaks) return;\n const current = this.tf.engine().state.numTensors;\n const previous = this.numTensors;\n this.numTensors = current;\n const leaked = current - previous;\n if (leaked !== 0) log(...msg, leaked);\n }\n\n // quick sanity check on inputs\n sanity(input) {\n if (!this.checkSanity) return null;\n if (!input) return 'input is not defined';\n if (this.tf.ENV.flags.IS_NODE && !(input instanceof this.tf.Tensor)) {\n return 'input must be a tensor';\n }\n try {\n this.tf.getBackend();\n } catch {\n return 'backend not loaded';\n }\n return null;\n }\n\n simmilarity(embedding1, embedding2) {\n if (this.config.face.embedding.enabled) return embedding.simmilarity(embedding1, embedding2);\n return 0;\n }\n\n // preload models, not explicitly required as it's done automatically on first use\n async load(userConfig = null) {\n this.state = 'load';\n const timeStamp = now();\n if (userConfig) this.config = mergeDeep(this.config, userConfig);\n\n if (this.firstRun) {\n log(`version: ${this.version} TensorFlow/JS version: ${this.tf.version_core}`);\n await this.checkBackend(true);\n if (this.tf.ENV.flags.IS_BROWSER) {\n log('configuration:', this.config);\n log('tf flags:', this.tf.ENV.flags);\n }\n }\n const face = this.config.face.detector.modelPath.includes('faceboxes') ? faceboxes : facemesh;\n if (this.config.async) {\n [\n this.models.face,\n this.models.age,\n this.models.gender,\n this.models.emotion,\n this.models.embedding,\n this.models.posenet,\n this.models.handpose,\n ] = await Promise.all([\n this.models.face || (this.config.face.enabled ? face.load(this.config) : null),\n this.models.age || ((this.config.face.enabled && this.config.face.age.enabled) ? age.load(this.config) : null),\n this.models.gender || ((this.config.face.enabled && this.config.face.gender.enabled) ? gender.load(this.config) : null),\n this.models.emotion || ((this.config.face.enabled && this.config.face.emotion.enabled) ? emotion.load(this.config) : null),\n this.models.embedding || ((this.config.face.enabled && this.config.face.embedding.enabled) ? embedding.load(this.config) : null),\n this.models.posenet || (this.config.body.enabled ? posenet.load(this.config) : null),\n this.models.handpose || (this.config.hand.enabled ? handpose.load(this.config) : null),\n ]);\n } else {\n if (this.config.face.enabled && !this.models.face) this.models.face = await face.load(this.config);\n if (this.config.face.enabled && this.config.face.age.enabled && !this.models.age) this.models.age = await age.load(this.config);\n if (this.config.face.enabled && this.config.face.gender.enabled && !this.models.gender) this.models.gender = await gender.load(this.config);\n if (this.config.face.enabled && this.config.face.emotion.enabled && !this.models.emotion) this.models.emotion = await emotion.load(this.config);\n if (this.config.face.enabled && this.config.face.embedding.enabled && !this.models.embedding) this.models.embedding = await embedding.load(this.config);\n if (this.config.body.enabled && !this.models.posenet) this.models.posenet = await posenet.load(this.config);\n if (this.config.hand.enabled && !this.models.handpose) this.models.handpose = await handpose.load(this.config);\n }\n\n if (this.firstRun) {\n log('tf engine state:', this.tf.engine().state.numBytes, 'bytes', this.tf.engine().state.numTensors, 'tensors');\n this.firstRun = false;\n }\n\n const current = Math.trunc(now() - timeStamp);\n if (current > (this.perf.load || 0)) this.perf.load = current;\n }\n\n // check if backend needs initialization if it changed\n async checkBackend(force = false) {\n if (this.config.backend && (this.config.backend !== '') && force || (this.tf.getBackend() !== this.config.backend)) {\n const timeStamp = now();\n this.state = 'backend';\n /* force backend reload\n if (this.config.backend in tf.engine().registry) {\n const backendFactory = tf.findBackendFactory(this.config.backend);\n tf.removeBackend(this.config.backend);\n tf.registerBackend(this.config.backend, backendFactory);\n } else {\n log('Backend not registred:', this.config.backend);\n }\n */\n\n log('setting backend:', this.config.backend);\n\n if (this.config.backend === 'wasm') {\n log('settings wasm path:', this.config.wasmPath);\n this.tf.setWasmPaths(this.config.wasmPath);\n const simd = await this.tf.env().getAsync('WASM_HAS_SIMD_SUPPORT');\n if (!simd) log('warning: wasm simd support is not enabled');\n }\n\n if (this.config.backend === 'humangl') backend.register();\n try {\n await this.tf.setBackend(this.config.backend);\n } catch (err) {\n log('error: cannot set backend:', this.config.backend, err);\n }\n this.tf.enableProdMode();\n /* debug mode is really too mcuh\n tf.enableDebugMode();\n */\n if (this.tf.getBackend() === 'webgl') {\n if (this.config.deallocate) {\n log('changing webgl: WEBGL_DELETE_TEXTURE_THRESHOLD:', this.config.deallocate);\n this.tf.ENV.set('WEBGL_DELETE_TEXTURE_THRESHOLD', this.config.deallocate ? 0 : -1);\n }\n this.tf.ENV.set('WEBGL_FORCE_F16_TEXTURES', true);\n this.tf.ENV.set('WEBGL_PACK_DEPTHWISECONV', true);\n const gl = await this.tf.backend().getGPGPUContext().gl;\n log(`gl version:${gl.getParameter(gl.VERSION)} renderer:${gl.getParameter(gl.RENDERER)}`);\n }\n await this.tf.ready();\n this.perf.backend = Math.trunc(now() - timeStamp);\n }\n }\n\n async detectFace(input) {\n // run facemesh, includes blazeface and iris\n // eslint-disable-next-line no-async-promise-executor\n let timeStamp;\n let ageRes;\n let genderRes;\n let emotionRes;\n let embeddingRes;\n const faceRes: Array<{ confidence: number, box: any, mesh: any, meshRaw: any, boxRaw: any, annotations: any, age: number, gender: string, genderConfidence: number, emotion: string, embedding: any, iris: number }> = [];\n this.state = 'run:face';\n timeStamp = now();\n const faces = await this.models.face?.estimateFaces(input, this.config);\n this.perf.face = Math.trunc(now() - timeStamp);\n for (const face of faces) {\n this.analyze('Get Face');\n\n // is something went wrong, skip the face\n if (!face.image || face.image.isDisposedInternal) {\n log('Face object is disposed:', face.image);\n continue;\n }\n\n // run age, inherits face from blazeface\n this.analyze('Start Age:');\n if (this.config.async) {\n ageRes = this.config.face.age.enabled ? age.predict(face.image, this.config) : {};\n } else {\n this.state = 'run:age';\n timeStamp = now();\n ageRes = this.config.face.age.enabled ? await age.predict(face.image, this.config) : {};\n this.perf.age = Math.trunc(now() - timeStamp);\n }\n\n // run gender, inherits face from blazeface\n this.analyze('Start Gender:');\n if (this.config.async) {\n genderRes = this.config.face.gender.enabled ? gender.predict(face.image, this.config) : {};\n } else {\n this.state = 'run:gender';\n timeStamp = now();\n genderRes = this.config.face.gender.enabled ? await gender.predict(face.image, this.config) : {};\n this.perf.gender = Math.trunc(now() - timeStamp);\n }\n\n // run emotion, inherits face from blazeface\n this.analyze('Start Emotion:');\n if (this.config.async) {\n emotionRes = this.config.face.emotion.enabled ? emotion.predict(face.image, this.config) : {};\n } else {\n this.state = 'run:emotion';\n timeStamp = now();\n emotionRes = this.config.face.emotion.enabled ? await emotion.predict(face.image, this.config) : {};\n this.perf.emotion = Math.trunc(now() - timeStamp);\n }\n this.analyze('End Emotion:');\n\n // run emotion, inherits face from blazeface\n this.analyze('Start Embedding:');\n if (this.config.async) {\n embeddingRes = this.config.face.embedding.enabled ? embedding.predict(face.image, this.config) : {};\n } else {\n this.state = 'run:embedding';\n timeStamp = now();\n embeddingRes = this.config.face.embedding.enabled ? await embedding.predict(face.image, this.config) : {};\n this.perf.embedding = Math.trunc(now() - timeStamp);\n }\n this.analyze('End Emotion:');\n\n // if async wait for results\n if (this.config.async) {\n [ageRes, genderRes, emotionRes, embeddingRes] = await Promise.all([ageRes, genderRes, emotionRes, embeddingRes]);\n }\n\n this.analyze('Finish Face:');\n\n // calculate iris distance\n // iris: array[ center, left, top, right, bottom]\n if (!this.config.face.iris.enabled && face?.annotations?.leftEyeIris && face?.annotations?.rightEyeIris) {\n delete face.annotations.leftEyeIris;\n delete face.annotations.rightEyeIris;\n }\n const irisSize = (face.annotations?.leftEyeIris && face.annotations?.rightEyeIris)\n /* average human iris size is 11.7mm */\n ? 11.7 * Math.max(Math.abs(face.annotations.leftEyeIris[3][0] - face.annotations.leftEyeIris[1][0]), Math.abs(face.annotations.rightEyeIris[4][1] - face.annotations.rightEyeIris[2][1]))\n : 0;\n\n // combine results\n faceRes.push({\n confidence: face.confidence,\n box: face.box,\n mesh: face.mesh,\n boxRaw: face.boxRaw,\n meshRaw: face.meshRaw,\n annotations: face.annotations,\n age: ageRes.age,\n gender: genderRes.gender,\n genderConfidence: genderRes.confidence,\n emotion: emotionRes,\n embedding: embeddingRes,\n iris: (irisSize !== 0) ? Math.trunc(irisSize) / 100 : 0,\n // image: face.image.toInt().squeeze(),\n });\n\n // dont need face anymore\n face.image?.dispose();\n this.analyze('End Face');\n }\n this.analyze('End FaceMesh:');\n if (this.config.async) {\n if (this.perf.face) delete this.perf.face;\n if (this.perf.age) delete this.perf.age;\n if (this.perf.gender) delete this.perf.gender;\n if (this.perf.emotion) delete this.perf.emotion;\n }\n return faceRes;\n }\n\n /*\n async processImage(input, userConfig = {}) {\n this.state = 'image';\n this.config = mergeDeep(this.config, userConfig);\n const process = image.process(input, this.config);\n process?.tensor?.dispose();\n return process?.canvas;\n }\n */\n\n // main detect function\n async detect(input, userConfig = {}) {\n // detection happens inside a promise\n return new Promise(async (resolve) => {\n this.state = 'config';\n let timeStamp;\n\n // update configuration\n this.config = mergeDeep(this.config, userConfig);\n\n // sanity checks\n this.state = 'check';\n const error = this.sanity(input);\n if (error) {\n log(error, input);\n resolve({ error });\n }\n\n let poseRes;\n let handRes;\n let faceRes;\n\n const timeStart = now();\n\n // configure backend\n await this.checkBackend();\n\n // load models if enabled\n await this.load();\n\n if (this.config.scoped) this.tf.engine().startScope();\n this.analyze('Start Scope:');\n\n timeStamp = now();\n const process = image.process(input, this.config);\n if (!process || !process.tensor) {\n log('could not convert input to tensor');\n resolve({ error: 'could not convert input to tensor' });\n return;\n }\n this.perf.image = Math.trunc(now() - timeStamp);\n this.analyze('Get Image:');\n\n // run face detection followed by all models that rely on face bounding box: face mesh, age, gender, emotion\n if (this.config.async) {\n faceRes = this.config.face.enabled ? this.detectFace(process.tensor) : [];\n if (this.perf.face) delete this.perf.face;\n } else {\n this.state = 'run:face';\n timeStamp = now();\n faceRes = this.config.face.enabled ? await this.detectFace(process.tensor) : [];\n this.perf.face = Math.trunc(now() - timeStamp);\n }\n\n // run posenet\n this.analyze('Start Body:');\n if (this.config.async) {\n poseRes = this.config.body.enabled ? this.models.posenet?.estimatePoses(process.tensor, this.config) : [];\n if (this.perf.body) delete this.perf.body;\n } else {\n this.state = 'run:body';\n timeStamp = now();\n poseRes = this.config.body.enabled ? await this.models.posenet?.estimatePoses(process.tensor, this.config) : [];\n this.perf.body = Math.trunc(now() - timeStamp);\n }\n this.analyze('End Body:');\n\n // run handpose\n this.analyze('Start Hand:');\n if (this.config.async) {\n handRes = this.config.hand.enabled ? this.models.handpose?.estimateHands(process.tensor, this.config) : [];\n if (this.perf.hand) delete this.perf.hand;\n } else {\n this.state = 'run:hand';\n timeStamp = now();\n handRes = this.config.hand.enabled ? await this.models.handpose?.estimateHands(process.tensor, this.config) : [];\n this.perf.hand = Math.trunc(now() - timeStamp);\n }\n this.analyze('End Hand:');\n\n // if async wait for results\n if (this.config.async) {\n [faceRes, poseRes, handRes] = await Promise.all([faceRes, poseRes, handRes]);\n }\n process.tensor.dispose();\n\n if (this.config.scoped) this.tf.engine().endScope();\n this.analyze('End Scope:');\n\n let gestureRes = [];\n if (this.config.gesture.enabled) {\n timeStamp = now();\n // @ts-ignore\n gestureRes = [...gesture.face(faceRes), ...gesture.body(poseRes), ...gesture.hand(handRes), ...gesture.iris(faceRes)];\n if (!this.config.async) this.perf.gesture = Math.trunc(now() - timeStamp);\n else if (this.perf.gesture) delete this.perf.gesture;\n }\n\n this.perf.total = Math.trunc(now() - timeStart);\n this.state = 'idle';\n resolve({ face: faceRes, body: poseRes, hand: handRes, gesture: gestureRes, performance: this.perf, canvas: process.canvas });\n });\n }\n\n async warmupBitmap() {\n const b64toBlob = (base64, type = 'application/octet-stream') => fetch(`data:${type};base64,${base64}`).then((res) => res.blob());\n let blob;\n let res;\n switch (this.config.warmup) {\n case 'face': blob = await b64toBlob(sample.face); break;\n case 'full': blob = await b64toBlob(sample.body); break;\n default: blob = null;\n }\n if (blob) {\n const bitmap = await createImageBitmap(blob);\n res = await this.detect(bitmap, this.config);\n bitmap.close();\n }\n return res;\n }\n\n async warmupCanvas() {\n return new Promise((resolve) => {\n let src;\n let size = 0;\n switch (this.config.warmup) {\n case 'face':\n size = 256;\n src = 'data:image/jpeg;base64,' + sample.face;\n break;\n case 'full':\n size = 1200;\n src = 'data:image/jpeg;base64,' + sample.body;\n break;\n default:\n src = null;\n }\n const img = new Image(size, size);\n img.onload = () => {\n const canvas = (typeof OffscreenCanvas !== 'undefined') ? new OffscreenCanvas(size, size) : document.createElement('canvas');\n canvas.width = size;\n canvas.height = size;\n const ctx = canvas.getContext('2d');\n ctx?.drawImage(img, 0, 0);\n const data = ctx?.getImageData(0, 0, size, size);\n this.detect(data, this.config).then((res) => resolve(res));\n };\n if (src) img.src = src;\n else resolve(null);\n });\n }\n\n async warmupNode() {\n const atob = (str) => Buffer.from(str, 'base64');\n const img = this.config.warmup === 'face' ? atob(sample.face) : atob(sample.body);\n // @ts-ignore\n const data = tf.node.decodeJpeg(img); // tf.node is only defined when compiling for nodejs\n const expanded = data.expandDims(0);\n this.tf.dispose(data);\n // log('Input:', expanded);\n const res = await this.detect(expanded, this.config);\n this.tf.dispose(expanded);\n return res;\n }\n\n async warmup(userConfig) {\n const t0 = now();\n if (userConfig) this.config = mergeDeep(this.config, userConfig);\n const video = this.config.videoOptimized;\n this.config.videoOptimized = false;\n let res;\n if (typeof createImageBitmap === 'function') res = await this.warmupBitmap();\n else if (typeof Image !== 'undefined') res = await this.warmupCanvas();\n else res = await this.warmupNode();\n this.config.videoOptimized = video;\n const t1 = now();\n log('Warmup', this.config.warmup, Math.round(t1 - t0), 'ms', res);\n return res;\n }\n}\n\nexport { Human as default };\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as profile from '../profile';\n\nexport class FaceBoxes {\n enlarge: number;\n model: any;\n config: any;\n\n constructor(model, config) {\n this.enlarge = 1.1;\n this.model = model;\n this.config = config;\n }\n\n async estimateFaces(input, config) {\n if (config) this.config = config;\n const results: Array<{ confidence: number, box: any, boxRaw: any, image: any }> = [];\n const resizeT = tf.image.resizeBilinear(input, [this.config.face.detector.inputSize, this.config.face.detector.inputSize]);\n const castT = resizeT.toInt();\n let scores;\n let boxes;\n if (!config.profile) {\n const [scoresT, boxesT, numT] = await this.model.executeAsync(castT);\n scores = scoresT.dataSync();\n const squeezeT = boxesT.squeeze();\n boxes = squeezeT.arraySync();\n scoresT.dispose();\n boxesT.dispose();\n squeezeT.dispose();\n numT.dispose();\n } else {\n const profileData = await tf.profile(() => this.model.executeAsync(castT));\n scores = profileData.result[0].dataSync();\n const squeezeT = profileData.result[1].squeeze();\n boxes = squeezeT.arraySync();\n profileData.result.forEach((t) => t.dispose());\n profile.run('faceboxes', profileData);\n }\n castT.dispose();\n resizeT.dispose();\n for (const i in boxes) {\n if (scores[i] && scores[i] > this.config.face.detector.minConfidence) {\n const crop = [boxes[i][0] / this.enlarge, boxes[i][1] / this.enlarge, boxes[i][2] * this.enlarge, boxes[i][3] * this.enlarge];\n const boxRaw = [crop[1], crop[0], (crop[3]) - (crop[1]), (crop[2]) - (crop[0])];\n const box = [\n parseInt((boxRaw[0] * input.shape[2]).toString()),\n parseInt((boxRaw[1] * input.shape[1]).toString()),\n parseInt((boxRaw[2] * input.shape[2]).toString()),\n parseInt((boxRaw[3] * input.shape[1]).toString())];\n const resized = tf.image.cropAndResize(input, [crop], [0], [this.config.face.detector.inputSize, this.config.face.detector.inputSize]);\n const image = resized.div([255]);\n resized.dispose();\n results.push({ confidence: scores[i], box, boxRaw: this.config.face.mesh.returnRawData ? boxRaw : null, image });\n // add mesh, meshRaw, annotations,\n }\n }\n return results;\n }\n}\n\nexport async function load(config) {\n const model = await tf.loadGraphModel(config.face.detector.modelPath);\n log(`load model: ${config.face.detector.modelPath.match(/\\/(.*)\\./)[1]}`);\n const faceboxes = new FaceBoxes(model, config);\n if (config.face.mesh.enabled) log(`load model: ${config.face.mesh.modelPath.match(/\\/(.*)\\./)[1]}`);\n if (config.face.iris.enabled) log(`load model: ${config.face.iris.modelPath.match(/\\/(.*)\\./)[1]}`);\n return faceboxes;\n}\n", "import { log } from './log';\n\nexport const data = {};\n\nexport function run(name: string, raw: any) {\n if (!raw || !raw.kernels) return;\n const maxResults = 5;\n const time = raw.kernels\n .filter((a) => a.kernelTimeMs > 0)\n .reduce((a, b) => a += b.kernelTimeMs, 0);\n const slowest = raw.kernels\n .map((a, i) => { a.id = i; return a; })\n .filter((a) => a.kernelTimeMs > 0)\n .sort((a, b) => b.kernelTimeMs - a.kernelTimeMs);\n const largest = raw.kernels\n .map((a, i) => { a.id = i; return a; })\n .filter((a) => a.totalBytesSnapshot > 0)\n .sort((a, b) => b.totalBytesSnapshot - a.totalBytesSnapshot);\n if (slowest.length > maxResults) slowest.length = maxResults;\n if (largest.length > maxResults) largest.length = maxResults;\n const res = { newBytes: raw.newBytes, newTensors: raw.newTensors, peakBytes: raw.peakBytes, numKernelOps: raw.kernels.length, timeKernelOps: time, slowestKernelOps: slowest, largestKernelOps: largest };\n data[name] = res;\n log('Human profiler', name, res);\n}\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as profile from '../profile';\n\nlet model;\nlet last = { age: 0 };\nlet skipped = Number.MAX_SAFE_INTEGER;\n\nexport async function load(config) {\n if (!model) {\n model = await tf.loadGraphModel(config.face.age.modelPath);\n log(`load model: ${config.face.age.modelPath.match(/\\/(.*)\\./)[1]}`);\n }\n return model;\n}\n\nexport async function predict(image, config) {\n if (!model) return null;\n if ((skipped < config.face.age.skipFrames) && config.videoOptimized && last.age && (last.age > 0)) {\n skipped++;\n return last;\n }\n if (config.videoOptimized) skipped = 0;\n else skipped = Number.MAX_SAFE_INTEGER;\n return new Promise(async (resolve) => {\n /*\n const zoom = [0, 0]; // 0..1 meaning 0%..100%\n const box = [[\n (image.shape[1] * zoom[0]) / image.shape[1],\n (image.shape[2] * zoom[1]) / image.shape[2],\n (image.shape[1] - (image.shape[1] * zoom[0])) / image.shape[1],\n (image.shape[2] - (image.shape[2] * zoom[1])) / image.shape[2],\n ]];\n const resize = tf.image.cropAndResize(image, box, [0], [config.face.age.inputSize, config.face.age.inputSize]);\n */\n const resize = tf.image.resizeBilinear(image, [config.face.age.inputSize, config.face.age.inputSize], false);\n const enhance = tf.mul(resize, [255.0]);\n tf.dispose(resize);\n\n let ageT;\n const obj = { age: 0 };\n\n if (!config.profile) {\n if (config.face.age.enabled) ageT = await model.predict(enhance);\n } else {\n const profileAge = config.face.age.enabled ? await tf.profile(() => model.predict(enhance)) : {};\n ageT = profileAge.result.clone();\n profileAge.result.dispose();\n profile.run('age', profileAge);\n }\n enhance.dispose();\n\n if (ageT) {\n const data = ageT.dataSync();\n obj.age = Math.trunc(10 * data[0]) / 10;\n }\n ageT.dispose();\n\n last = obj;\n resolve(obj);\n });\n}\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as profile from '../profile';\n\nlet model;\nlet last = { gender: '' };\nlet skipped = Number.MAX_SAFE_INTEGER;\nlet alternative = false;\n\n// tuning values\nconst rgb = [0.2989, 0.5870, 0.1140]; // factors for red/green/blue colors when converting to grayscale\n\nexport async function load(config) {\n if (!model) {\n model = await tf.loadGraphModel(config.face.gender.modelPath);\n alternative = model.inputs[0].shape[3] === 1;\n log(`load model: ${config.face.gender.modelPath.match(/\\/(.*)\\./)[1]}`);\n }\n return model;\n}\n\nexport async function predict(image, config) {\n if (!model) return null;\n if ((skipped < config.face.gender.skipFrames) && config.videoOptimized && last.gender !== '') {\n skipped++;\n return last;\n }\n if (config.videoOptimized) skipped = 0;\n else skipped = Number.MAX_SAFE_INTEGER;\n return new Promise(async (resolve) => {\n const resize = tf.image.resizeBilinear(image, [config.face.gender.inputSize, config.face.gender.inputSize], false);\n let enhance;\n if (alternative) {\n enhance = tf.tidy(() => {\n const [red, green, blue] = tf.split(resize, 3, 3);\n const redNorm = tf.mul(red, rgb[0]);\n const greenNorm = tf.mul(green, rgb[1]);\n const blueNorm = tf.mul(blue, rgb[2]);\n const grayscale = tf.addN([redNorm, greenNorm, blueNorm]);\n return grayscale.sub(0.5).mul(2);\n });\n } else {\n enhance = tf.mul(resize, [255.0]);\n }\n tf.dispose(resize);\n\n let genderT;\n const obj = { gender: '', confidence: 0 };\n\n if (!config.profile) {\n if (config.face.gender.enabled) genderT = await model.predict(enhance);\n } else {\n const profileGender = config.face.gender.enabled ? await tf.profile(() => model.predict(enhance)) : {};\n genderT = profileGender.result.clone();\n profileGender.result.dispose();\n profile.run('gender', profileGender);\n }\n enhance.dispose();\n\n if (genderT) {\n const data = genderT.dataSync();\n if (alternative) {\n // returns two values 0..1, bigger one is prediction\n const confidence = Math.trunc(100 * Math.abs(data[0] - data[1])) / 100;\n if (confidence > config.face.gender.minConfidence) {\n obj.gender = data[0] > data[1] ? 'female' : 'male';\n obj.confidence = confidence;\n }\n } else {\n // returns one value 0..1, .5 is prediction threshold\n const confidence = Math.trunc(200 * Math.abs((data[0] - 0.5))) / 100;\n if (confidence > config.face.gender.minConfidence) {\n obj.gender = data[0] <= 0.5 ? 'female' : 'male';\n obj.confidence = Math.min(0.99, confidence);\n }\n }\n }\n genderT.dispose();\n\n last = obj;\n resolve(obj);\n });\n}\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as profile from '../profile';\n\nconst annotations = ['angry', 'disgust', 'fear', 'happy', 'sad', 'surprise', 'neutral'];\nlet model;\nlet last: Array<{ score: number, emotion: string }> = [];\nlet skipped = Number.MAX_SAFE_INTEGER;\n\n// tuning values\nconst rgb = [0.2989, 0.5870, 0.1140]; // factors for red/green/blue colors when converting to grayscale\nconst scale = 1; // score multiplication factor\n\nexport async function load(config) {\n if (!model) {\n model = await tf.loadGraphModel(config.face.emotion.modelPath);\n log(`load model: ${config.face.emotion.modelPath.match(/\\/(.*)\\./)[1]}`);\n }\n return model;\n}\n\nexport async function predict(image, config) {\n if (!model) return null;\n if ((skipped < config.face.emotion.skipFrames) && config.videoOptimized && (last.length > 0)) {\n skipped++;\n return last;\n }\n if (config.videoOptimized) skipped = 0;\n else skipped = Number.MAX_SAFE_INTEGER;\n return new Promise(async (resolve) => {\n /*\n const zoom = [0, 0]; // 0..1 meaning 0%..100%\n const box = [[\n (image.shape[1] * zoom[0]) / image.shape[1],\n (image.shape[2] * zoom[1]) / image.shape[2],\n (image.shape[1] - (image.shape[1] * zoom[0])) / image.shape[1],\n (image.shape[2] - (image.shape[2] * zoom[1])) / image.shape[2],\n ]];\n const resize = tf.image.cropAndResize(image, box, [0], [config.face.emotion.inputSize, config.face.emotion.inputSize]);\n */\n const resize = tf.image.resizeBilinear(image, [config.face.emotion.inputSize, config.face.emotion.inputSize], false);\n const [red, green, blue] = tf.split(resize, 3, 3);\n resize.dispose();\n // weighted rgb to grayscale: https://www.mathworks.com/help/matlab/ref/rgb2gray.html\n const redNorm = tf.mul(red, rgb[0]);\n const greenNorm = tf.mul(green, rgb[1]);\n const blueNorm = tf.mul(blue, rgb[2]);\n red.dispose();\n green.dispose();\n blue.dispose();\n const grayscale = tf.addN([redNorm, greenNorm, blueNorm]);\n redNorm.dispose();\n greenNorm.dispose();\n blueNorm.dispose();\n const normalize = tf.tidy(() => grayscale.sub(0.5).mul(2));\n grayscale.dispose();\n const obj: Array<{ score: number, emotion: string }> = [];\n if (config.face.emotion.enabled) {\n let data;\n if (!config.profile) {\n const emotionT = await model.predict(normalize);\n data = emotionT.dataSync();\n tf.dispose(emotionT);\n } else {\n const profileData = await tf.profile(() => model.predict(normalize));\n data = profileData.result.dataSync();\n profileData.result.dispose();\n profile.run('emotion', profileData);\n }\n for (let i = 0; i < data.length; i++) {\n if (scale * data[i] > config.face.emotion.minConfidence) obj.push({ score: Math.min(0.99, Math.trunc(100 * scale * data[i]) / 100), emotion: annotations[i] });\n }\n obj.sort((a, b) => b.score - a.score);\n }\n normalize.dispose();\n last = obj;\n resolve(obj);\n });\n}\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as profile from '../profile';\n\n// based on https://github.com/sirius-ai/MobileFaceNet_TF\n// model converted from https://github.com/sirius-ai/MobileFaceNet_TF/files/3551493/FaceMobileNet192_train_false.zip\n\nlet model;\n\nexport async function load(config) {\n if (!model) {\n model = await tf.loadGraphModel(config.face.embedding.modelPath);\n log(`load model: ${config.face.embedding.modelPath.match(/\\/(.*)\\./)[1]}`);\n }\n return model;\n}\n\nexport function simmilarity(embedding1, embedding2) {\n if (!embedding1 || embedding2) return 0;\n if (embedding1?.length === 0 || embedding2?.length === 0) return 0;\n if (embedding1?.length !== embedding2?.length) return 0;\n // general minkowski distance\n // euclidean distance is limited case where order is 2\n const order = 2;\n const distance = 10.0 * ((embedding1.map((val, i) => (val - embedding2[i])).reduce((dist, diff) => dist + (diff ** order), 0) ** (1 / order)));\n return (Math.trunc(1000 * (1 - distance)) / 1000);\n}\n\nexport async function predict(image, config) {\n if (!model) return null;\n return new Promise(async (resolve) => {\n const resize = tf.image.resizeBilinear(image, [config.face.embedding.inputSize, config.face.embedding.inputSize], false);\n // const normalize = tf.tidy(() => resize.div(127.5).sub(0.5)); // this is -0.5...0.5 ???\n let data: Array<[]> = [];\n if (config.face.embedding.enabled) {\n if (!config.profile) {\n const embeddingT = await model.predict({ img_inputs: resize });\n data = [...embeddingT.dataSync()]; // convert object array to standard array\n tf.dispose(embeddingT);\n } else {\n const profileData = await tf.profile(() => model.predict({ img_inputs: resize }));\n data = [...profileData.result.dataSync()];\n profileData.result.dispose();\n profile.run('emotion', profileData);\n }\n }\n resize.dispose();\n // normalize.dispose();\n resolve(data);\n });\n}\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as modelBase from './modelBase';\nimport * as decodeMultiple from './decodeMultiple';\nimport * as decodePose from './decodePose';\nimport * as util from './util';\n\nasync function estimateMultiple(input, res, config) {\n return new Promise(async (resolve) => {\n const height = input.shape[1];\n const width = input.shape[2];\n const allTensorBuffers = await util.toTensorBuffers3D([res.heatmapScores, res.offsets, res.displacementFwd, res.displacementBwd]);\n const scoresBuffer = allTensorBuffers[0];\n const offsetsBuffer = allTensorBuffers[1];\n const displacementsFwdBuffer = allTensorBuffers[2];\n const displacementsBwdBuffer = allTensorBuffers[3];\n const poses = await decodeMultiple.decodeMultiplePoses(scoresBuffer, offsetsBuffer, displacementsFwdBuffer, displacementsBwdBuffer, config);\n const scaled = util.scaleAndFlipPoses(poses, [height, width], [config.body.inputSize, config.body.inputSize]);\n resolve(scaled);\n });\n}\n\nasync function estimateSingle(input, res, config) {\n return new Promise(async (resolve) => {\n const height = input.shape[1];\n const width = input.shape[2];\n const pose = await decodePose.decodeSinglePose(res.heatmapScores, res.offsets, config);\n const poses = [pose];\n const scaled = util.scaleAndFlipPoses(poses, [height, width], [config.body.inputSize, config.body.inputSize]);\n resolve(scaled);\n });\n}\n\nexport class PoseNet {\n baseModel: any;\n constructor(model) {\n this.baseModel = model;\n }\n\n async estimatePoses(input, config) {\n const resized = util.resizeTo(input, [config.body.inputSize, config.body.inputSize]);\n const res = this.baseModel.predict(resized, config);\n\n const poses = (config.body.maxDetections < 2) ? await estimateSingle(input, res, config) : await estimateMultiple(input, res, config);\n\n res.heatmapScores.dispose();\n res.offsets.dispose();\n res.displacementFwd.dispose();\n res.displacementBwd.dispose();\n resized.dispose();\n\n return poses;\n }\n\n dispose() {\n this.baseModel.dispose();\n }\n}\n\nexport async function load(config) {\n const model = await tf.loadGraphModel(config.body.modelPath);\n const mobilenet = new modelBase.BaseModel(model);\n log(`load model: ${config.body.modelPath.match(/\\/(.*)\\./)[1]}`);\n return new PoseNet(mobilenet);\n}\n", "import * as tf from '../../dist/tfjs.esm.js';\n\nconst imageNetMean = [-123.15, -115.90, -103.06];\n\nfunction nameOutputResultsMobileNet(results) {\n const [offsets, heatmap, displacementFwd, displacementBwd] = results;\n return { offsets, heatmap, displacementFwd, displacementBwd };\n}\n\nfunction nameOutputResultsResNet(results) {\n const [displacementFwd, displacementBwd, offsets, heatmap] = results;\n return { offsets, heatmap, displacementFwd, displacementBwd };\n}\n\nexport class BaseModel {\n model: any;\n constructor(model) {\n this.model = model;\n }\n\n predict(input, config) {\n return tf.tidy(() => {\n const asFloat = (config.body.modelType === 'ResNet') ? input.toFloat().add(imageNetMean) : input.toFloat().div(127.5).sub(1.0);\n const asBatch = asFloat.expandDims(0);\n const results = this.model.predict(asBatch);\n const results3d = results.map((y) => y.squeeze([0]));\n const namedResults = (config.body.modelType === 'ResNet') ? nameOutputResultsResNet(results3d) : nameOutputResultsMobileNet(results3d);\n return {\n heatmapScores: namedResults.heatmap.sigmoid(),\n offsets: namedResults.offsets,\n displacementFwd: namedResults.displacementFwd,\n displacementBwd: namedResults.displacementBwd,\n };\n });\n }\n\n dispose() {\n this.model.dispose();\n }\n}\n", "// algorithm based on Coursera Lecture from Algorithms, Part 1: https://www.coursera.org/learn/algorithms-part1/lecture/ZjoSM/heapsort\nfunction half(k) {\n return Math.floor(k / 2);\n}\nexport class MaxHeap {\n priorityQueue: any;\n numberOfElements: number;\n getElementValue: any;\n\n constructor(maxSize, getElementValue) {\n this.priorityQueue = new Array(maxSize);\n this.numberOfElements = -1;\n this.getElementValue = getElementValue;\n }\n\n enqueue(x) {\n this.priorityQueue[++this.numberOfElements] = x;\n this.swim(this.numberOfElements);\n }\n\n dequeue() {\n const max = this.priorityQueue[0];\n this.exchange(0, this.numberOfElements--);\n this.sink(0);\n this.priorityQueue[this.numberOfElements + 1] = null;\n return max;\n }\n\n empty() {\n return this.numberOfElements === -1;\n }\n\n size() {\n return this.numberOfElements + 1;\n }\n\n all() {\n return this.priorityQueue.slice(0, this.numberOfElements + 1);\n }\n\n max() {\n return this.priorityQueue[0];\n }\n\n swim(k) {\n while (k > 0 && this.less(half(k), k)) {\n this.exchange(k, half(k));\n k = half(k);\n }\n }\n\n sink(k) {\n while (2 * k <= this.numberOfElements) {\n let j = 2 * k;\n if (j < this.numberOfElements && this.less(j, j + 1)) j++;\n if (!this.less(k, j)) break;\n this.exchange(k, j);\n k = j;\n }\n }\n\n getValueAt(i) {\n return this.getElementValue(this.priorityQueue[i]);\n }\n\n less(i, j) {\n return this.getValueAt(i) < this.getValueAt(j);\n }\n\n exchange(i, j) {\n const t = this.priorityQueue[i];\n this.priorityQueue[i] = this.priorityQueue[j];\n this.priorityQueue[j] = t;\n }\n}\n", "import * as heapSort from './heapSort';\n\nfunction scoreIsMaximumInLocalWindow(keypointId, score, heatmapY, heatmapX, localMaximumRadius, scores) {\n const [height, width] = scores.shape;\n let localMaximum = true;\n const yStart = Math.max(heatmapY - localMaximumRadius, 0);\n const yEnd = Math.min(heatmapY + localMaximumRadius + 1, height);\n for (let yCurrent = yStart; yCurrent < yEnd; ++yCurrent) {\n const xStart = Math.max(heatmapX - localMaximumRadius, 0);\n const xEnd = Math.min(heatmapX + localMaximumRadius + 1, width);\n for (let xCurrent = xStart; xCurrent < xEnd; ++xCurrent) {\n if (scores.get(yCurrent, xCurrent, keypointId) > score) {\n localMaximum = false;\n break;\n }\n }\n if (!localMaximum) break;\n }\n return localMaximum;\n}\n\nexport function buildPartWithScoreQueue(scoreThreshold, localMaximumRadius, scores) {\n const [height, width, numKeypoints] = scores.shape;\n const queue = new heapSort.MaxHeap(height * width * numKeypoints, ({ score }) => score);\n for (let heatmapY = 0; heatmapY < height; ++heatmapY) {\n for (let heatmapX = 0; heatmapX < width; ++heatmapX) {\n for (let keypointId = 0; keypointId < numKeypoints; ++keypointId) {\n const score = scores.get(heatmapY, heatmapX, keypointId);\n // Only consider parts with score greater or equal to threshold as root candidates.\n if (score < scoreThreshold) continue;\n // Only consider keypoints whose score is maximum in a local window.\n if (scoreIsMaximumInLocalWindow(keypointId, score, heatmapY, heatmapX, localMaximumRadius, scores)) {\n queue.enqueue({ score, part: { heatmapY, heatmapX, id: keypointId } });\n }\n }\n }\n }\n return queue;\n}\n", "import * as keypoints from './keypoints';\nimport * as vectors from './vectors';\nimport * as decoders from './decoders';\n\nconst parentChildrenTuples = keypoints.poseChain.map(([parentJoinName, childJoinName]) => ([keypoints.partIds[parentJoinName], keypoints.partIds[childJoinName]]));\nconst parentToChildEdges = parentChildrenTuples.map(([, childJointId]) => childJointId);\nconst childToParentEdges = parentChildrenTuples.map(([parentJointId]) => parentJointId);\nfunction getDisplacement(edgeId, point, displacements) {\n const numEdges = displacements.shape[2] / 2;\n return {\n y: displacements.get(point.y, point.x, edgeId),\n x: displacements.get(point.y, point.x, numEdges + edgeId),\n };\n}\nfunction getStridedIndexNearPoint(point, outputStride, height, width) {\n return {\n y: vectors.clamp(Math.round(point.y / outputStride), 0, height - 1),\n x: vectors.clamp(Math.round(point.x / outputStride), 0, width - 1),\n };\n}\n\nfunction traverseToTargetKeypoint(edgeId, sourceKeypoint, targetKeypointId, scoresBuffer, offsets, outputStride, displacements, offsetRefineStep = 2) {\n const [height, width] = scoresBuffer.shape;\n // Nearest neighbor interpolation for the source->target displacements.\n const sourceKeypointIndices = getStridedIndexNearPoint(sourceKeypoint.position, outputStride, height, width);\n const displacement = getDisplacement(edgeId, sourceKeypointIndices, displacements);\n const displacedPoint = vectors.addVectors(sourceKeypoint.position, displacement);\n let targetKeypoint = displacedPoint;\n for (let i = 0; i < offsetRefineStep; i++) {\n const targetKeypointIndices = getStridedIndexNearPoint(targetKeypoint, outputStride, height, width);\n const offsetPoint = vectors.getOffsetPoint(targetKeypointIndices.y, targetKeypointIndices.x, targetKeypointId, offsets);\n targetKeypoint = vectors.addVectors({\n x: targetKeypointIndices.x * outputStride,\n y: targetKeypointIndices.y * outputStride,\n }, { x: offsetPoint.x, y: offsetPoint.y });\n }\n const targetKeyPointIndices = getStridedIndexNearPoint(targetKeypoint, outputStride, height, width);\n const score = scoresBuffer.get(targetKeyPointIndices.y, targetKeyPointIndices.x, targetKeypointId);\n return { position: targetKeypoint, part: keypoints.partNames[targetKeypointId], score };\n}\n\nexport function decodePose(root, scores, offsets, outputStride, displacementsFwd, displacementsBwd) {\n const numParts = scores.shape[2];\n const numEdges = parentToChildEdges.length;\n const instanceKeypoints = new Array(numParts);\n // Start a new detection instance at the position of the root.\n const { part: rootPart, score: rootScore } = root;\n const rootPoint = vectors.getImageCoords(rootPart, outputStride, offsets);\n instanceKeypoints[rootPart.id] = {\n score: rootScore,\n part: keypoints.partNames[rootPart.id],\n position: rootPoint,\n };\n // Decode the part positions upwards in the tree, following the backward displacements.\n for (let edge = numEdges - 1; edge >= 0; --edge) {\n const sourceKeypointId = parentToChildEdges[edge];\n const targetKeypointId = childToParentEdges[edge];\n if (instanceKeypoints[sourceKeypointId] && !instanceKeypoints[targetKeypointId]) {\n instanceKeypoints[targetKeypointId] = traverseToTargetKeypoint(edge, instanceKeypoints[sourceKeypointId], targetKeypointId, scores, offsets, outputStride, displacementsBwd);\n }\n }\n // Decode the part positions downwards in the tree, following the forward displacements.\n for (let edge = 0; edge < numEdges; ++edge) {\n const sourceKeypointId = childToParentEdges[edge];\n const targetKeypointId = parentToChildEdges[edge];\n if (instanceKeypoints[sourceKeypointId] && !instanceKeypoints[targetKeypointId]) {\n instanceKeypoints[targetKeypointId] = traverseToTargetKeypoint(edge, instanceKeypoints[sourceKeypointId], targetKeypointId, scores, offsets, outputStride, displacementsFwd);\n }\n }\n return instanceKeypoints;\n}\n\nexport async function decodeSinglePose(heatmapScores, offsets, config) {\n let totalScore = 0.0;\n const heatmapValues = decoders.argmax2d(heatmapScores);\n const allTensorBuffers = await Promise.all([heatmapScores.buffer(), offsets.buffer(), heatmapValues.buffer()]);\n const scoresBuffer = allTensorBuffers[0];\n const offsetsBuffer = allTensorBuffers[1];\n const heatmapValuesBuffer = allTensorBuffers[2];\n const offsetPoints = decoders.getOffsetPoints(heatmapValuesBuffer, config.body.outputStride, offsetsBuffer);\n const offsetPointsBuffer = await offsetPoints.buffer();\n const keypointConfidence = Array.from(decoders.getPointsConfidence(scoresBuffer, heatmapValuesBuffer));\n const instanceKeypoints = keypointConfidence.map((score, i) => {\n totalScore += score;\n return {\n position: {\n y: offsetPointsBuffer.get(i, 0),\n x: offsetPointsBuffer.get(i, 1),\n },\n part: keypoints.partNames[i],\n score,\n };\n });\n const filteredKeypoints = instanceKeypoints.filter((kpt) => kpt.score > config.body.scoreThreshold);\n heatmapValues.dispose();\n offsetPoints.dispose();\n return { keypoints: filteredKeypoints, score: totalScore / instanceKeypoints.length };\n}\n", "import * as kpt from './keypoints';\n\nexport function getOffsetPoint(y, x, keypoint, offsets) {\n return {\n y: offsets.get(y, x, keypoint),\n x: offsets.get(y, x, keypoint + kpt.NUM_KEYPOINTS),\n };\n}\n\nexport function getImageCoords(part, outputStride, offsets) {\n const { heatmapY, heatmapX, id: keypoint } = part;\n const { y, x } = getOffsetPoint(heatmapY, heatmapX, keypoint, offsets);\n return {\n x: part.heatmapX * outputStride + x,\n y: part.heatmapY * outputStride + y,\n };\n}\n\nexport function fillArray(element, size) {\n const result = new Array(size);\n for (let i = 0; i < size; i++) {\n result[i] = element;\n }\n return result;\n}\n\nexport function clamp(a, min, max) {\n if (a < min) return min;\n if (a > max) return max;\n return a;\n}\n\nexport function squaredDistance(y1, x1, y2, x2) {\n const dy = y2 - y1;\n const dx = x2 - x1;\n return dy * dy + dx * dx;\n}\n\nexport function addVectors(a, b) {\n return { x: a.x + b.x, y: a.y + b.y };\n}\n\nexport function clampVector(a, min, max) {\n return { y: clamp(a.y, min, max), x: clamp(a.x, min, max) };\n}\n", "import * as tf from '../../dist/tfjs.esm.js';\nimport * as kpt from './keypoints';\n\nexport function getPointsConfidence(heatmapScores, heatMapCoords) {\n const numKeypoints = heatMapCoords.shape[0];\n const result = new Float32Array(numKeypoints);\n for (let keypoint = 0; keypoint < numKeypoints; keypoint++) {\n const y = heatMapCoords.get(keypoint, 0);\n const x = heatMapCoords.get(keypoint, 1);\n result[keypoint] = heatmapScores.get(y, x, keypoint);\n }\n return result;\n}\n\nfunction getOffsetPoint(y, x, keypoint, offsetsBuffer) {\n return {\n y: offsetsBuffer.get(y, x, keypoint),\n x: offsetsBuffer.get(y, x, keypoint + kpt.NUM_KEYPOINTS),\n };\n}\n\nexport function getOffsetVectors(heatMapCoordsBuffer, offsetsBuffer) {\n const result: Array = [];\n for (let keypoint = 0; keypoint < kpt.NUM_KEYPOINTS; keypoint++) {\n const heatmapY = heatMapCoordsBuffer.get(keypoint, 0).valueOf();\n const heatmapX = heatMapCoordsBuffer.get(keypoint, 1).valueOf();\n const { x, y } = getOffsetPoint(heatmapY, heatmapX, keypoint, offsetsBuffer);\n result.push(y);\n result.push(x);\n }\n return tf.tensor2d(result, [kpt.NUM_KEYPOINTS, 2]);\n}\n\nexport function getOffsetPoints(heatMapCoordsBuffer, outputStride, offsetsBuffer) {\n return tf.tidy(() => heatMapCoordsBuffer.toTensor().mul(tf.scalar(outputStride, 'int32')).toFloat().add(getOffsetVectors(heatMapCoordsBuffer, offsetsBuffer)));\n}\n\nfunction mod(a, b) {\n return tf.tidy(() => {\n const floored = a.div(tf.scalar(b, 'int32'));\n return a.sub(floored.mul(tf.scalar(b, 'int32')));\n });\n}\n\nexport function argmax2d(inputs) {\n const [height, width, depth] = inputs.shape;\n return tf.tidy(() => {\n const reshaped = inputs.reshape([height * width, depth]);\n const coords = reshaped.argMax(0);\n const yCoords = coords.div(tf.scalar(width, 'int32')).expandDims(1);\n const xCoords = mod(coords, width).expandDims(1);\n return tf.concat([yCoords, xCoords], 1);\n });\n}\n", "import * as buildParts from './buildParts';\nimport * as decodePose from './decodePose';\nimport * as vectors from './vectors';\n\nconst kLocalMaximumRadius = 1;\n\nfunction withinNmsRadiusOfCorrespondingPoint(poses, squaredNmsRadius, { x, y }, keypointId) {\n return poses.some(({ keypoints }) => {\n const correspondingKeypoint = keypoints[keypointId].position;\n return vectors.squaredDistance(y, x, correspondingKeypoint.y, correspondingKeypoint.x) <= squaredNmsRadius;\n });\n}\n\nfunction getInstanceScore(existingPoses, squaredNmsRadius, instanceKeypoints) {\n const notOverlappedKeypointScores = instanceKeypoints.reduce((result, { position, score }, keypointId) => {\n if (!withinNmsRadiusOfCorrespondingPoint(existingPoses, squaredNmsRadius, position, keypointId)) result += score;\n return result;\n }, 0.0);\n return notOverlappedKeypointScores / instanceKeypoints.length;\n}\n\nexport function decodeMultiplePoses(scoresBuffer, offsetsBuffer, displacementsFwdBuffer, displacementsBwdBuffer, config) {\n const poses: Array<{ keypoints: any, score: number }> = [];\n const queue = buildParts.buildPartWithScoreQueue(config.body.scoreThreshold, kLocalMaximumRadius, scoresBuffer);\n const squaredNmsRadius = config.body.nmsRadius ^ 2;\n // Generate at most maxDetections object instances per image in decreasing root part score order.\n while (poses.length < config.body.maxDetections && !queue.empty()) {\n // The top element in the queue is the next root candidate.\n const root = queue.dequeue();\n // Part-based non-maximum suppression: We reject a root candidate if it is within a disk of `nmsRadius` pixels from the corresponding part of a previously detected instance.\n const rootImageCoords = vectors.getImageCoords(root.part, config.body.outputStride, offsetsBuffer);\n if (withinNmsRadiusOfCorrespondingPoint(poses, squaredNmsRadius, rootImageCoords, root.part.id)) continue;\n // Else start a new detection instance at the position of the root.\n const keypoints = decodePose.decodePose(root, scoresBuffer, offsetsBuffer, config.body.outputStride, displacementsFwdBuffer, displacementsBwdBuffer);\n const score = getInstanceScore(poses, squaredNmsRadius, keypoints);\n if (score > config.body.scoreThreshold) poses.push({ keypoints, score });\n }\n return poses;\n}\n", "import * as kpt from './keypoints';\n\nexport function eitherPointDoesntMeetConfidence(a, b, minConfidence) {\n return (a < minConfidence || b < minConfidence);\n}\n\nexport function getAdjacentKeyPoints(keypoints, minConfidence) {\n return kpt.connectedPartIndices.reduce((result, [leftJoint, rightJoint]) => {\n if (eitherPointDoesntMeetConfidence(keypoints[leftJoint].score, keypoints[rightJoint].score, minConfidence)) {\n return result;\n }\n result.push([keypoints[leftJoint], keypoints[rightJoint]]);\n return result;\n }, []);\n}\n\nconst { NEGATIVE_INFINITY, POSITIVE_INFINITY } = Number;\nexport function getBoundingBox(keypoints) {\n return keypoints.reduce(({ maxX, maxY, minX, minY }, { position: { x, y } }) => ({\n maxX: Math.max(maxX, x),\n maxY: Math.max(maxY, y),\n minX: Math.min(minX, x),\n minY: Math.min(minY, y),\n }), {\n maxX: NEGATIVE_INFINITY,\n maxY: NEGATIVE_INFINITY,\n minX: POSITIVE_INFINITY,\n minY: POSITIVE_INFINITY,\n });\n}\n\nexport function getBoundingBoxPoints(keypoints) {\n const { minX, minY, maxX, maxY } = getBoundingBox(keypoints);\n return [{ x: minX, y: minY }, { x: maxX, y: minY }, { x: maxX, y: maxY }, { x: minX, y: maxY }];\n}\n\nexport async function toTensorBuffers3D(tensors) {\n return Promise.all(tensors.map((tensor) => tensor.buffer()));\n}\n\nexport function scalePose(pose, scaleY, scaleX) {\n return {\n score: pose.score,\n keypoints: pose.keypoints.map(({ score, part, position }) => ({\n score,\n part,\n position: { x: position.x * scaleX, y: position.y * scaleY },\n })),\n };\n}\n\nexport function resizeTo(image, [targetH, targetW]) {\n const input = image.squeeze(0);\n const resized = input.resizeBilinear([targetH, targetW]);\n input.dispose();\n return resized;\n}\n\nexport function scaleAndFlipPoses(poses, [height, width], [inputResolutionHeight, inputResolutionWidth]) {\n const scaledPoses = poses.map((pose) => scalePose(pose, height / inputResolutionHeight, width / inputResolutionWidth));\n return scaledPoses;\n}\n", "// https://storage.googleapis.com/tfjs-models/demos/handpose/index.html\n\nimport { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as handdetector from './handdetector';\nimport * as handpipeline from './handpipeline';\nimport * as anchors from './anchors';\n\nconst MESH_ANNOTATIONS = {\n thumb: [1, 2, 3, 4],\n indexFinger: [5, 6, 7, 8],\n middleFinger: [9, 10, 11, 12],\n ringFinger: [13, 14, 15, 16],\n pinky: [17, 18, 19, 20],\n palmBase: [0],\n};\n\nexport class HandPose {\n handPipeline: any;\n\n constructor(handPipeline) {\n this.handPipeline = handPipeline;\n }\n\n static getAnnotations() {\n return MESH_ANNOTATIONS;\n }\n\n async estimateHands(input, config) {\n const predictions = await this.handPipeline.estimateHands(input, config);\n if (!predictions) return [];\n const hands: Array<{ confidence: number, box: any, landmarks: any, annotations: any }> = [];\n for (const prediction of predictions) {\n const annotations = {};\n if (prediction.landmarks) {\n for (const key of Object.keys(MESH_ANNOTATIONS)) {\n annotations[key] = MESH_ANNOTATIONS[key].map((index) => prediction.landmarks[index]);\n }\n }\n const box = prediction.box ? [\n Math.max(0, prediction.box.topLeft[0]),\n Math.max(0, prediction.box.topLeft[1]),\n Math.min(input.shape[2], prediction.box.bottomRight[0]) - prediction.box.topLeft[0],\n Math.min(input.shape[1], prediction.box.bottomRight[1]) - prediction.box.topLeft[1],\n ] : 0;\n hands.push({ confidence: prediction.confidence, box, landmarks: prediction.landmarks, annotations });\n }\n return hands;\n }\n}\n\nexport async function load(config) {\n const [handDetectorModel, handPoseModel] = await Promise.all([\n config.hand.enabled ? tf.loadGraphModel(config.hand.detector.modelPath, { fromTFHub: config.hand.detector.modelPath.includes('tfhub.dev') }) : null,\n config.hand.landmarks ? tf.loadGraphModel(config.hand.skeleton.modelPath, { fromTFHub: config.hand.skeleton.modelPath.includes('tfhub.dev') }) : null,\n ]);\n const handDetector = new handdetector.HandDetector(handDetectorModel, config.hand.inputSize, anchors.anchors);\n const handPipeline = new handpipeline.HandPipeline(handDetector, handPoseModel, config.hand.inputSize);\n const handPose = new HandPose(handPipeline);\n if (config.hand.enabled) log(`load model: ${config.hand.detector.modelPath.match(/\\/(.*)\\./)[1]}`);\n if (config.hand.landmarks) log(`load model: ${config.hand.skeleton.modelPath.match(/\\/(.*)\\./)[1]}`);\n return handPose;\n}\n", "import * as tf from '../../dist/tfjs.esm.js';\n\nexport function getBoxSize(box) {\n return [\n Math.abs(box.endPoint[0] - box.startPoint[0]),\n Math.abs(box.endPoint[1] - box.startPoint[1]),\n ];\n}\n\nexport function getBoxCenter(box) {\n return [\n box.startPoint[0] + (box.endPoint[0] - box.startPoint[0]) / 2,\n box.startPoint[1] + (box.endPoint[1] - box.startPoint[1]) / 2,\n ];\n}\n\nexport function cutBoxFromImageAndResize(box, image, cropSize) {\n const h = image.shape[1];\n const w = image.shape[2];\n const boxes = [[\n box.startPoint[1] / h,\n box.startPoint[0] / w,\n box.endPoint[1] / h,\n box.endPoint[0] / w,\n ]];\n return tf.image.cropAndResize(image, boxes, [0], cropSize);\n}\n\nexport function scaleBoxCoordinates(box, factor) {\n const startPoint = [box.startPoint[0] * factor[0], box.startPoint[1] * factor[1]];\n const endPoint = [box.endPoint[0] * factor[0], box.endPoint[1] * factor[1]];\n const palmLandmarks = box.palmLandmarks.map((coord) => {\n const scaledCoord = [coord[0] * factor[0], coord[1] * factor[1]];\n return scaledCoord;\n });\n return { startPoint, endPoint, palmLandmarks, confidence: box.confidence };\n}\n\nexport function enlargeBox(box, factor = 1.5) {\n const center = getBoxCenter(box);\n const size = getBoxSize(box);\n const newHalfSize = [factor * size[0] / 2, factor * size[1] / 2];\n const startPoint = [center[0] - newHalfSize[0], center[1] - newHalfSize[1]];\n const endPoint = [center[0] + newHalfSize[0], center[1] + newHalfSize[1]];\n return { startPoint, endPoint, palmLandmarks: box.palmLandmarks };\n}\n\nexport function squarifyBox(box) {\n const centers = getBoxCenter(box);\n const size = getBoxSize(box);\n const maxEdge = Math.max(...size);\n const halfSize = maxEdge / 2;\n const startPoint = [centers[0] - halfSize, centers[1] - halfSize];\n const endPoint = [centers[0] + halfSize, centers[1] + halfSize];\n return { startPoint, endPoint, palmLandmarks: box.palmLandmarks };\n}\n\nexport function shiftBox(box, shiftFactor) {\n const boxSize = [\n box.endPoint[0] - box.startPoint[0],\n box.endPoint[1] - box.startPoint[1],\n ];\n const shiftVector = [boxSize[0] * shiftFactor[0], boxSize[1] * shiftFactor[1]];\n const startPoint = [box.startPoint[0] + shiftVector[0], box.startPoint[1] + shiftVector[1]];\n const endPoint = [box.endPoint[0] + shiftVector[0], box.endPoint[1] + shiftVector[1]];\n return { startPoint, endPoint, palmLandmarks: box.palmLandmarks };\n}\n", "import * as tf from '../../dist/tfjs.esm.js';\nimport * as box from './box';\n\nexport class HandDetector {\n model: any;\n anchors: any;\n anchorsTensor: any;\n inputSizeTensor: any;\n doubleInputSizeTensor: any;\n\n constructor(model, inputSize, anchorsAnnotated) {\n this.model = model;\n this.anchors = anchorsAnnotated.map((anchor) => [anchor.x_center, anchor.y_center]);\n this.anchorsTensor = tf.tensor2d(this.anchors);\n this.inputSizeTensor = tf.tensor1d([inputSize, inputSize]);\n this.doubleInputSizeTensor = tf.tensor1d([inputSize * 2, inputSize * 2]);\n }\n\n normalizeBoxes(boxes) {\n return tf.tidy(() => {\n const boxOffsets = tf.slice(boxes, [0, 0], [-1, 2]);\n const boxSizes = tf.slice(boxes, [0, 2], [-1, 2]);\n const boxCenterPoints = tf.add(tf.div(boxOffsets, this.inputSizeTensor), this.anchorsTensor);\n const halfBoxSizes = tf.div(boxSizes, this.doubleInputSizeTensor);\n const startPoints = tf.mul(tf.sub(boxCenterPoints, halfBoxSizes), this.inputSizeTensor);\n const endPoints = tf.mul(tf.add(boxCenterPoints, halfBoxSizes), this.inputSizeTensor);\n return tf.concat2d([startPoints, endPoints], 1);\n });\n }\n\n normalizeLandmarks(rawPalmLandmarks, index) {\n return tf.tidy(() => {\n const landmarks = tf.add(tf.div(rawPalmLandmarks.reshape([-1, 7, 2]), this.inputSizeTensor), this.anchors[index]);\n return tf.mul(landmarks, this.inputSizeTensor);\n });\n }\n\n async getBoxes(input, config) {\n const batched = this.model.predict(input);\n const predictions = batched.squeeze();\n batched.dispose();\n const scoresT = tf.tidy(() => tf.sigmoid(tf.slice(predictions, [0, 0], [-1, 1])).squeeze());\n const scores = scoresT.dataSync();\n const rawBoxes = tf.slice(predictions, [0, 1], [-1, 4]);\n const boxes = this.normalizeBoxes(rawBoxes);\n rawBoxes.dispose();\n const filteredT = await tf.image.nonMaxSuppressionAsync(boxes, scores, config.hand.maxHands, config.hand.iouThreshold, config.hand.scoreThreshold);\n const filtered = filteredT.arraySync();\n\n scoresT.dispose();\n filteredT.dispose();\n const hands: Array<{ box: any, palmLandmarks: any, confidence: number }> = [];\n for (const index of filtered) {\n if (scores[index] >= config.hand.minConfidence) {\n const matchingBox = tf.slice(boxes, [index, 0], [1, -1]);\n const rawPalmLandmarks = tf.slice(predictions, [index, 5], [1, 14]);\n const palmLandmarks = tf.tidy(() => this.normalizeLandmarks(rawPalmLandmarks, index).reshape([-1, 2]));\n rawPalmLandmarks.dispose();\n hands.push({ box: matchingBox, palmLandmarks, confidence: scores[index] });\n }\n }\n predictions.dispose();\n boxes.dispose();\n return hands;\n }\n\n async estimateHandBounds(input, config) {\n const inputHeight = input.shape[1];\n const inputWidth = input.shape[2];\n const image = tf.tidy(() => input.resizeBilinear([config.hand.inputSize, config.hand.inputSize]).div(127.5).sub(1));\n const predictions = await this.getBoxes(image, config);\n image.dispose();\n const hands: Array<{}> = [];\n if (!predictions || predictions.length === 0) return hands;\n for (const prediction of predictions) {\n const boxes = prediction.box.dataSync();\n const startPoint = boxes.slice(0, 2);\n const endPoint = boxes.slice(2, 4);\n const palmLandmarks = prediction.palmLandmarks.arraySync();\n prediction.box.dispose();\n prediction.palmLandmarks.dispose();\n hands.push(box.scaleBoxCoordinates({ startPoint, endPoint, palmLandmarks, confidence: prediction.confidence }, [inputWidth / config.hand.inputSize, inputHeight / config.hand.inputSize]));\n }\n return hands;\n }\n}\n", "export function normalizeRadians(angle) {\n return angle - 2 * Math.PI * Math.floor((angle + Math.PI) / (2 * Math.PI));\n}\n\nexport function computeRotation(point1, point2) {\n const radians = Math.PI / 2 - Math.atan2(-(point2[1] - point1[1]), point2[0] - point1[0]);\n return normalizeRadians(radians);\n}\n\nexport const buildTranslationMatrix = (x, y) => [[1, 0, x], [0, 1, y], [0, 0, 1]];\n\nexport function dot(v1, v2) {\n let product = 0;\n for (let i = 0; i < v1.length; i++) {\n product += v1[i] * v2[i];\n }\n return product;\n}\n\nexport function getColumnFrom2DArr(arr, columnIndex) {\n const column: Array = [];\n for (let i = 0; i < arr.length; i++) {\n column.push(arr[i][columnIndex]);\n }\n return column;\n}\n\nexport function multiplyTransformMatrices(mat1, mat2) {\n const product: Array = [];\n const size = mat1.length;\n for (let row = 0; row < size; row++) {\n product.push([]);\n for (let col = 0; col < size; col++) {\n product[row].push(dot(mat1[row], getColumnFrom2DArr(mat2, col)));\n }\n }\n return product;\n}\n\nexport function buildRotationMatrix(rotation, center) {\n const cosA = Math.cos(rotation);\n const sinA = Math.sin(rotation);\n const rotationMatrix = [[cosA, -sinA, 0], [sinA, cosA, 0], [0, 0, 1]];\n const translationMatrix = buildTranslationMatrix(center[0], center[1]);\n const translationTimesRotation = multiplyTransformMatrices(translationMatrix, rotationMatrix);\n const negativeTranslationMatrix = buildTranslationMatrix(-center[0], -center[1]);\n return multiplyTransformMatrices(translationTimesRotation, negativeTranslationMatrix);\n}\n\nexport function invertTransformMatrix(matrix) {\n const rotationComponent = [[matrix[0][0], matrix[1][0]], [matrix[0][1], matrix[1][1]]];\n const translationComponent = [matrix[0][2], matrix[1][2]];\n const invertedTranslation = [\n -dot(rotationComponent[0], translationComponent),\n -dot(rotationComponent[1], translationComponent),\n ];\n return [\n rotationComponent[0].concat(invertedTranslation[0]),\n rotationComponent[1].concat(invertedTranslation[1]),\n [0, 0, 1],\n ];\n}\n\nexport function rotatePoint(homogeneousCoordinate, rotationMatrix) {\n return [\n dot(homogeneousCoordinate, rotationMatrix[0]),\n dot(homogeneousCoordinate, rotationMatrix[1]),\n ];\n}\n", "import * as tf from '../../dist/tfjs.esm.js';\nimport * as box from './box';\nimport * as util from './util';\n\n// const PALM_BOX_SHIFT_VECTOR = [0, -0.4];\nconst PALM_BOX_ENLARGE_FACTOR = 5; // default 3\n// const HAND_BOX_SHIFT_VECTOR = [0, -0.1]; // move detected hand box by x,y to ease landmark detection\nconst HAND_BOX_ENLARGE_FACTOR = 1.65; // default 1.65\nconst PALM_LANDMARK_IDS = [0, 5, 9, 13, 17, 1, 2];\nconst PALM_LANDMARKS_INDEX_OF_PALM_BASE = 0;\nconst PALM_LANDMARKS_INDEX_OF_MIDDLE_FINGER_BASE = 2;\n\nexport class HandPipeline {\n handDetector: any;\n landmarkDetector: any;\n inputSize: number;\n storedBoxes: any;\n skipped: number;\n detectedHands: number;\n\n constructor(handDetector, landmarkDetector, inputSize) {\n this.handDetector = handDetector;\n this.landmarkDetector = landmarkDetector;\n this.inputSize = inputSize;\n this.storedBoxes = [];\n this.skipped = 0;\n this.detectedHands = 0;\n }\n\n getBoxForPalmLandmarks(palmLandmarks, rotationMatrix) {\n const rotatedPalmLandmarks = palmLandmarks.map((coord) => util.rotatePoint([...coord, 1], rotationMatrix));\n const boxAroundPalm = this.calculateLandmarksBoundingBox(rotatedPalmLandmarks);\n // return box.enlargeBox(box.squarifyBox(box.shiftBox(boxAroundPalm, PALM_BOX_SHIFT_VECTOR)), PALM_BOX_ENLARGE_FACTOR);\n return box.enlargeBox(box.squarifyBox(boxAroundPalm), PALM_BOX_ENLARGE_FACTOR);\n }\n\n getBoxForHandLandmarks(landmarks) {\n const boundingBox = this.calculateLandmarksBoundingBox(landmarks);\n // const boxAroundHand = box.enlargeBox(box.squarifyBox(box.shiftBox(boundingBox, HAND_BOX_SHIFT_VECTOR)), HAND_BOX_ENLARGE_FACTOR);\n const boxAroundHand = box.enlargeBox(box.squarifyBox(boundingBox), HAND_BOX_ENLARGE_FACTOR);\n boxAroundHand.palmLandmarks = [];\n for (let i = 0; i < PALM_LANDMARK_IDS.length; i++) {\n boxAroundHand.palmLandmarks.push(landmarks[PALM_LANDMARK_IDS[i]].slice(0, 2));\n }\n return boxAroundHand;\n }\n\n transformRawCoords(rawCoords, box2, angle, rotationMatrix) {\n const boxSize = box.getBoxSize(box2);\n const scaleFactor = [boxSize[0] / this.inputSize, boxSize[1] / this.inputSize, (boxSize[0] + boxSize[1]) / this.inputSize / 2];\n const coordsScaled = rawCoords.map((coord) => [\n scaleFactor[0] * (coord[0] - this.inputSize / 2),\n scaleFactor[1] * (coord[1] - this.inputSize / 2),\n scaleFactor[2] * coord[2],\n ]);\n const coordsRotationMatrix = util.buildRotationMatrix(angle, [0, 0]);\n const coordsRotated = coordsScaled.map((coord) => {\n const rotated = util.rotatePoint(coord, coordsRotationMatrix);\n return [...rotated, coord[2]];\n });\n const inverseRotationMatrix = util.invertTransformMatrix(rotationMatrix);\n const boxCenter = [...box.getBoxCenter(box2), 1];\n const originalBoxCenter = [\n util.dot(boxCenter, inverseRotationMatrix[0]),\n util.dot(boxCenter, inverseRotationMatrix[1]),\n ];\n return coordsRotated.map((coord) => [\n coord[0] + originalBoxCenter[0],\n coord[1] + originalBoxCenter[1],\n coord[2],\n ]);\n }\n\n async estimateHands(image, config) {\n let useFreshBox = false;\n\n // run new detector every skipFrames unless we only want box to start with\n let boxes;\n if ((this.skipped === 0) || (this.skipped > config.hand.skipFrames) || !config.hand.landmarks || !config.videoOptimized) {\n boxes = await this.handDetector.estimateHandBounds(image, config);\n this.skipped = 0;\n }\n if (config.videoOptimized) this.skipped++;\n\n // if detector result count doesn't match current working set, use it to reset current working set\n if (boxes && (boxes.length > 0) && ((boxes.length !== this.detectedHands) && (this.detectedHands !== config.hand.maxHands) || !config.hand.landmarks)) {\n this.detectedHands = 0;\n this.storedBoxes = [...boxes];\n // for (const possible of boxes) this.storedBoxes.push(possible);\n if (this.storedBoxes.length > 0) useFreshBox = true;\n }\n const hands: Array<{}> = [];\n // log('hand', `skipped: ${this.skipped} max: ${config.hand.maxHands} detected: ${this.detectedHands} stored: ${this.storedBoxes.length} new: ${boxes?.length}`);\n\n // go through working set of boxes\n for (let i = 0; i < this.storedBoxes.length; i++) {\n const currentBox = this.storedBoxes[i];\n if (!currentBox) continue;\n if (config.hand.landmarks) {\n const angle = config.hand.rotation ? util.computeRotation(currentBox.palmLandmarks[PALM_LANDMARKS_INDEX_OF_PALM_BASE], currentBox.palmLandmarks[PALM_LANDMARKS_INDEX_OF_MIDDLE_FINGER_BASE]) : 0;\n const palmCenter = box.getBoxCenter(currentBox);\n const palmCenterNormalized = [palmCenter[0] / image.shape[2], palmCenter[1] / image.shape[1]];\n const rotatedImage = config.hand.rotation ? tf.image.rotateWithOffset(image, angle, 0, palmCenterNormalized) : image.clone();\n const rotationMatrix = util.buildRotationMatrix(-angle, palmCenter);\n const newBox = useFreshBox ? this.getBoxForPalmLandmarks(currentBox.palmLandmarks, rotationMatrix) : currentBox;\n const croppedInput = box.cutBoxFromImageAndResize(newBox, rotatedImage, [this.inputSize, this.inputSize]);\n const handImage = croppedInput.div(255);\n croppedInput.dispose();\n rotatedImage.dispose();\n const [confidenceT, keypoints] = await this.landmarkDetector.predict(handImage);\n handImage.dispose();\n const confidence = confidenceT.dataSync()[0];\n confidenceT.dispose();\n if (confidence >= config.hand.minConfidence) {\n const keypointsReshaped = tf.reshape(keypoints, [-1, 3]);\n const rawCoords = keypointsReshaped.arraySync();\n keypoints.dispose();\n keypointsReshaped.dispose();\n const coords = this.transformRawCoords(rawCoords, newBox, angle, rotationMatrix);\n const nextBoundingBox = this.getBoxForHandLandmarks(coords);\n this.storedBoxes[i] = nextBoundingBox;\n const result = {\n landmarks: coords,\n confidence,\n box: { topLeft: nextBoundingBox.startPoint, bottomRight: nextBoundingBox.endPoint },\n };\n hands.push(result);\n } else {\n this.storedBoxes[i] = null;\n }\n keypoints.dispose();\n } else {\n // const enlarged = box.enlargeBox(box.squarifyBox(box.shiftBox(currentBox, HAND_BOX_SHIFT_VECTOR)), HAND_BOX_ENLARGE_FACTOR);\n const enlarged = box.enlargeBox(box.squarifyBox(currentBox), HAND_BOX_ENLARGE_FACTOR);\n const result = {\n confidence: currentBox.confidence,\n box: { topLeft: enlarged.startPoint, bottomRight: enlarged.endPoint },\n };\n hands.push(result);\n }\n }\n this.storedBoxes = this.storedBoxes.filter((a) => a !== null);\n this.detectedHands = hands.length;\n return hands;\n }\n\n // eslint-disable-next-line class-methods-use-this\n calculateLandmarksBoundingBox(landmarks) {\n const xs = landmarks.map((d) => d[0]);\n const ys = landmarks.map((d) => d[1]);\n const startPoint = [Math.min(...xs), Math.min(...ys)];\n const endPoint = [Math.max(...xs), Math.max(...ys)];\n return { startPoint, endPoint };\n }\n}\n", "export const anchors = [\n {\n w: 1,\n h: 1,\n x_center: 0.015625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.015625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.046875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.046875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.078125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.078125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.109375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.109375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.140625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.140625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.171875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.171875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.203125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.203125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.234375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.234375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.265625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.265625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.296875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.296875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.328125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.328125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.359375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.359375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.390625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.390625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.421875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.421875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.453125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.453125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.484375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.484375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.515625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.515625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.546875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.546875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.578125,\n 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y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.9375,\n },\n];\n", "export const body = (res) => {\n if (!res) return [];\n const gestures: Array<{ body: number, gesture: string }> = [];\n for (let i = 0; i < res.length; i++) {\n // raising hands\n const leftWrist = res[i].keypoints.find((a) => (a.part === 'leftWrist'));\n const rightWrist = res[i].keypoints.find((a) => (a.part === 'rightWrist'));\n const nose = res[i].keypoints.find((a) => (a.part === 'nose'));\n if (nose && leftWrist && rightWrist && (leftWrist.position.y < nose.position.y) && (rightWrist.position.y < nose.position.y)) gestures.push({ body: i, gesture: 'i give up' });\n else if (nose && leftWrist && (leftWrist.position.y < nose.position.y)) gestures.push({ body: i, gesture: 'raise left hand' });\n else if (nose && rightWrist && (rightWrist.position.y < nose.position.y)) gestures.push({ body: i, gesture: 'raise right hand' });\n\n // leaning\n const leftShoulder = res[i].keypoints.find((a) => (a.part === 'leftShoulder'));\n const rightShoulder = res[i].keypoints.find((a) => (a.part === 'rightShoulder'));\n if (leftShoulder && rightShoulder) gestures.push({ body: i, gesture: `leaning ${(leftShoulder.position.y > rightShoulder.position.y) ? 'left' : 'right'}` });\n }\n return gestures;\n};\n\nexport const face = (res) => {\n if (!res) return [];\n const gestures: Array<{ face: number, gesture: string }> = [];\n for (let i = 0; i < res.length; i++) {\n if (res[i].mesh && res[i].mesh.length > 0) {\n const eyeFacing = res[i].mesh[35][2] - res[i].mesh[263][2];\n if (Math.abs(eyeFacing) < 10) gestures.push({ face: i, gesture: 'facing camera' });\n else gestures.push({ face: i, gesture: `facing ${eyeFacing < 0 ? 'right' : 'left'}` });\n const openLeft = Math.abs(res[i].mesh[374][1] - res[i].mesh[386][1]) / Math.abs(res[i].mesh[443][1] - res[i].mesh[450][1]); // center of eye inner lid y coord div center of wider eye border y coord\n if (openLeft < 0.2) gestures.push({ face: i, gesture: 'blink left eye' });\n const openRight = Math.abs(res[i].mesh[145][1] - res[i].mesh[159][1]) / Math.abs(res[i].mesh[223][1] - res[i].mesh[230][1]); // center of eye inner lid y coord div center of wider eye border y coord\n if (openRight < 0.2) gestures.push({ face: i, gesture: 'blink right eye' });\n const mouthOpen = Math.min(100, 500 * Math.abs(res[i].mesh[13][1] - res[i].mesh[14][1]) / Math.abs(res[i].mesh[10][1] - res[i].mesh[152][1]));\n if (mouthOpen > 10) gestures.push({ face: i, gesture: `mouth ${Math.trunc(mouthOpen)}% open` });\n const chinDepth = res[i].mesh[152][2];\n if (Math.abs(chinDepth) > 10) gestures.push({ face: i, gesture: `head ${chinDepth < 0 ? 'up' : 'down'}` });\n }\n }\n return gestures;\n};\n\nexport const iris = (res) => {\n if (!res) return [];\n const gestures: Array<{ iris: number, gesture: string }> = [];\n for (let i = 0; i < res.length; i++) {\n if (!res[i].annotations || !res[i].annotations.leftEyeIris || !res[i].annotations.rightEyeIris) continue;\n const sizeXLeft = res[i].annotations.leftEyeIris[3][0] - res[i].annotations.leftEyeIris[1][0];\n const sizeYLeft = res[i].annotations.leftEyeIris[4][1] - res[i].annotations.leftEyeIris[2][1];\n const areaLeft = Math.abs(sizeXLeft * sizeYLeft);\n\n const sizeXRight = res[i].annotations.rightEyeIris[3][0] - res[i].annotations.rightEyeIris[1][0];\n const sizeYRight = res[i].annotations.rightEyeIris[4][1] - res[i].annotations.rightEyeIris[2][1];\n const areaRight = Math.abs(sizeXRight * sizeYRight);\n\n const difference = Math.abs(areaLeft - areaRight) / Math.max(areaLeft, areaRight);\n if (difference < 0.25) gestures.push({ iris: i, gesture: 'looking at camera' });\n }\n return gestures;\n};\n\nexport const hand = (res) => {\n if (!res) return [];\n const gestures: Array<{ hand: number, gesture: string }> = [];\n for (let i = 0; i < res.length; i++) {\n const fingers: Array<{ name: string, position: number }> = [];\n for (const [finger, pos] of Object.entries(res[i]['annotations'])) {\n // @ts-ignore\n if (finger !== 'palmBase') fingers.push({ name: finger.toLowerCase(), position: pos[0] }); // get tip of each finger\n }\n if (fingers && fingers.length > 0) {\n const closest = fingers.reduce((best, a) => (best.position[2] < a.position[2] ? best : a));\n const highest = fingers.reduce((best, a) => (best.position[1] < a.position[1] ? best : a));\n gestures.push({ hand: i, gesture: `${closest.name} forward ${highest.name} up` });\n }\n }\n return gestures;\n};\n", "/*\nWebGLImageFilter - MIT Licensed\n2013, Dominic Szablewski - phoboslab.org\n\n*/\n\nfunction GLProgram(gl, vertexSource, fragmentSource) {\n const _collect = function (source, prefix, collection) {\n const r = new RegExp('\\\\b' + prefix + ' \\\\w+ (\\\\w+)', 'ig');\n source.replace(r, (match, name) => {\n collection[name] = 0;\n return match;\n });\n };\n\n const _compile = function (source, type) {\n const shader = gl.createShader(type);\n gl.shaderSource(shader, source);\n gl.compileShader(shader);\n if (!gl.getShaderParameter(shader, gl.COMPILE_STATUS)) {\n // @ts-ignore\n throw new Error('Filter: GL compile failed', gl.getShaderInfoLog(shader));\n }\n return shader;\n };\n\n this.uniform = {};\n this.attribute = {};\n const _vsh = _compile(vertexSource, gl.VERTEX_SHADER);\n const _fsh = _compile(fragmentSource, gl.FRAGMENT_SHADER);\n this.id = gl.createProgram();\n gl.attachShader(this.id, _vsh);\n gl.attachShader(this.id, _fsh);\n gl.linkProgram(this.id);\n\n if (!gl.getProgramParameter(this.id, gl.LINK_STATUS)) {\n // @ts-ignore\n throw new Error('Filter: GL link failed', gl.getProgramInfoLog(this.id));\n }\n\n gl.useProgram(this.id);\n // Collect attributes\n _collect(vertexSource, 'attribute', this.attribute);\n for (const a in this.attribute) this.attribute[a] = gl.getAttribLocation(this.id, a);\n // Collect uniforms\n _collect(vertexSource, 'uniform', this.uniform);\n _collect(fragmentSource, 'uniform', this.uniform);\n for (const u in this.uniform) this.uniform[u] = gl.getUniformLocation(this.id, u);\n}\n\n// export const GLImageFilter = function (params) {\nexport function GLImageFilter(params) {\n if (!params) params = { };\n let _drawCount = 0;\n let _sourceTexture = null;\n let _lastInChain = false;\n let _currentFramebufferIndex = -1;\n let _tempFramebuffers = [null, null];\n let _filterChain = [];\n let _width = -1;\n let _height = -1;\n let _vertexBuffer = null;\n let _currentProgram = null;\n const _filter = {};\n const _canvas = params.canvas || document.createElement('canvas');\n // key is the shader program source, value is the compiled program\n const _shaderProgramCache = { };\n const DRAW = { INTERMEDIATE: 1 };\n const gl = _canvas.getContext('webgl');\n if (!gl) throw new Error('Filter: getContext() failed');\n\n this.addFilter = function (name) {\n // eslint-disable-next-line prefer-rest-params\n const args = Array.prototype.slice.call(arguments, 1);\n const filter = _filter[name];\n _filterChain.push({ func: filter, args });\n };\n\n this.reset = function () {\n _filterChain = [];\n };\n\n const _resize = function (width, height) {\n // Same width/height? Nothing to do here\n if (width === _width && height === _height) { return; }\n _canvas.width = width;\n _width = width;\n _canvas.height = height;\n _height = height;\n // Create the context if we don't have it yet\n if (!_vertexBuffer) {\n // Create the vertex buffer for the two triangles [x, y, u, v] * 6\n const vertices = new Float32Array([\n -1, -1, 0, 1, 1, -1, 1, 1, -1, 1, 0, 0,\n -1, 1, 0, 0, 1, -1, 1, 1, 1, 1, 1, 0,\n ]);\n // eslint-disable-next-line no-unused-expressions\n (_vertexBuffer = gl.createBuffer(), gl.bindBuffer(gl.ARRAY_BUFFER, _vertexBuffer));\n gl.bufferData(gl.ARRAY_BUFFER, vertices, gl.STATIC_DRAW);\n gl.pixelStorei(gl.UNPACK_PREMULTIPLY_ALPHA_WEBGL, true);\n }\n gl.viewport(0, 0, _width, _height);\n // Delete old temp framebuffers\n _tempFramebuffers = [null, null];\n };\n\n const _createFramebufferTexture = function (width, height) {\n const fbo = gl.createFramebuffer();\n gl.bindFramebuffer(gl.FRAMEBUFFER, fbo);\n const renderbuffer = gl.createRenderbuffer();\n gl.bindRenderbuffer(gl.RENDERBUFFER, renderbuffer);\n const texture = gl.createTexture();\n gl.bindTexture(gl.TEXTURE_2D, texture);\n gl.texImage2D(gl.TEXTURE_2D, 0, gl.RGBA, width, height, 0, gl.RGBA, gl.UNSIGNED_BYTE, null);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MAG_FILTER, gl.LINEAR);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MIN_FILTER, gl.LINEAR);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_S, gl.CLAMP_TO_EDGE);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_T, gl.CLAMP_TO_EDGE);\n gl.framebufferTexture2D(gl.FRAMEBUFFER, gl.COLOR_ATTACHMENT0, gl.TEXTURE_2D, texture, 0);\n gl.bindTexture(gl.TEXTURE_2D, null);\n gl.bindFramebuffer(gl.FRAMEBUFFER, null);\n return { fbo, texture };\n };\n\n const _getTempFramebuffer = function (index) {\n // @ts-ignore\n _tempFramebuffers[index] = _tempFramebuffers[index] || _createFramebufferTexture(_width, _height);\n return _tempFramebuffers[index];\n };\n\n const _draw = function (flags = null) {\n let source = null;\n let target = null;\n let flipY = false;\n // Set up the source\n if (_drawCount === 0) {\n // First draw call - use the source texture\n source = _sourceTexture;\n } else {\n // All following draw calls use the temp buffer last drawn to\n // @ts-ignore\n source = _getTempFramebuffer(_currentFramebufferIndex)?.texture;\n }\n _drawCount++;\n // Set up the target\n if (_lastInChain && !(flags & DRAW.INTERMEDIATE)) {\n // Last filter in our chain - draw directly to the WebGL Canvas. We may\n // also have to flip the image vertically now\n target = null;\n flipY = _drawCount % 2 === 0;\n } else {\n // Intermediate draw call - get a temp buffer to draw to\n _currentFramebufferIndex = (_currentFramebufferIndex + 1) % 2;\n // @ts-ignore\n target = _getTempFramebuffer(_currentFramebufferIndex)?.fbo;\n }\n // Bind the source and target and draw the two triangles\n gl.bindTexture(gl.TEXTURE_2D, source);\n gl.bindFramebuffer(gl.FRAMEBUFFER, target);\n gl.uniform1f(_currentProgram.uniform.flipY, (flipY ? -1 : 1));\n gl.drawArrays(gl.TRIANGLES, 0, 6);\n };\n\n this.apply = function (image) {\n _resize(image.width, image.height);\n _drawCount = 0;\n // Create the texture for the input image if we haven't yet\n if (!_sourceTexture) _sourceTexture = gl.createTexture();\n gl.bindTexture(gl.TEXTURE_2D, _sourceTexture);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_S, gl.CLAMP_TO_EDGE);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_T, gl.CLAMP_TO_EDGE);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MIN_FILTER, gl.NEAREST);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MAG_FILTER, gl.NEAREST);\n gl.texImage2D(gl.TEXTURE_2D, 0, gl.RGBA, gl.RGBA, gl.UNSIGNED_BYTE, image);\n // No filters? Just draw\n if (_filterChain.length === 0) {\n // const program = _compileShader(SHADER.FRAGMENT_IDENTITY);\n _draw();\n return _canvas;\n }\n for (let i = 0; i < _filterChain.length; i++) {\n _lastInChain = (i === _filterChain.length - 1);\n const f = _filterChain[i];\n f.func.apply(this, f.args || []);\n }\n return _canvas;\n };\n\n const _compileShader = function (fragmentSource) {\n if (_shaderProgramCache[fragmentSource]) {\n _currentProgram = _shaderProgramCache[fragmentSource];\n gl.useProgram(_currentProgram.id);\n return _currentProgram;\n }\n // Compile shaders\n const SHADER = {};\n SHADER.VERTEX_IDENTITY = [\n 'precision highp float;',\n 'attribute vec2 pos;',\n 'attribute vec2 uv;',\n 'varying vec2 vUv;',\n 'uniform float flipY;',\n 'void main(void) {',\n 'vUv = uv;',\n 'gl_Position = vec4(pos.x, pos.y*flipY, 0.0, 1.);',\n '}',\n ].join('\\n');\n SHADER.FRAGMENT_IDENTITY = [\n 'precision highp float;',\n 'varying vec2 vUv;',\n 'uniform sampler2D texture;',\n 'void main(void) {',\n 'gl_FragColor = texture2D(texture, vUv);',\n '}',\n ].join('\\n');\n _currentProgram = new GLProgram(gl, SHADER.VERTEX_IDENTITY, fragmentSource);\n const floatSize = Float32Array.BYTES_PER_ELEMENT;\n const vertSize = 4 * floatSize;\n gl.enableVertexAttribArray(_currentProgram.attribute.pos);\n gl.vertexAttribPointer(_currentProgram.attribute.pos, 2, gl.FLOAT, false, vertSize, 0 * floatSize);\n gl.enableVertexAttribArray(_currentProgram.attribute.uv);\n gl.vertexAttribPointer(_currentProgram.attribute.uv, 2, gl.FLOAT, false, vertSize, 2 * floatSize);\n _shaderProgramCache[fragmentSource] = _currentProgram;\n return _currentProgram;\n };\n\n // -------------------------------------------------------------------------\n // Color Matrix Filter\n _filter.colorMatrix = function (matrix) {\n // Create a Float32 Array and normalize the offset component to 0-1\n const m = new Float32Array(matrix);\n m[4] /= 255;\n m[9] /= 255;\n m[14] /= 255;\n m[19] /= 255;\n // Can we ignore the alpha value? Makes things a bit faster.\n const shader = (m[18] === 1 && m[3] === 0 && m[8] === 0 && m[13] === 0 && m[15] === 0 && m[16] === 0 && m[17] === 0 && m[19] === 0)\n ? _filter.colorMatrix.SHADER.WITHOUT_ALPHA\n : _filter.colorMatrix.SHADER.WITH_ALPHA;\n const program = _compileShader(shader);\n gl.uniform1fv(program.uniform.m, m);\n _draw();\n };\n _filter.colorMatrix.SHADER = {};\n _filter.colorMatrix.SHADER.WITH_ALPHA = [\n 'precision highp float;',\n 'varying vec2 vUv;',\n 'uniform sampler2D texture;',\n 'uniform float m[20];',\n 'void main(void) {',\n 'vec4 c = texture2D(texture, vUv);',\n 'gl_FragColor.r = m[0] * c.r + m[1] * c.g + m[2] * c.b + m[3] * c.a + m[4];',\n 'gl_FragColor.g = m[5] * c.r + m[6] * c.g + m[7] * c.b + m[8] * c.a + m[9];',\n 'gl_FragColor.b = m[10] * c.r + m[11] * c.g + m[12] * c.b + m[13] * c.a + m[14];',\n 'gl_FragColor.a = m[15] * c.r + m[16] * c.g + m[17] * c.b + m[18] * c.a + m[19];',\n '}',\n ].join('\\n');\n _filter.colorMatrix.SHADER.WITHOUT_ALPHA = [\n 'precision highp float;',\n 'varying vec2 vUv;',\n 'uniform sampler2D texture;',\n 'uniform float m[20];',\n 'void main(void) {',\n 'vec4 c = texture2D(texture, vUv);',\n 'gl_FragColor.r = m[0] * c.r + m[1] * c.g + m[2] * c.b + m[4];',\n 'gl_FragColor.g = m[5] * c.r + m[6] * c.g + m[7] * c.b + m[9];',\n 'gl_FragColor.b = m[10] * c.r + m[11] * c.g + m[12] * c.b + m[14];',\n 'gl_FragColor.a = c.a;',\n '}',\n ].join('\\n');\n\n _filter.brightness = function (brightness) {\n const b = (brightness || 0) + 1;\n _filter.colorMatrix([\n b, 0, 0, 0, 0,\n 0, b, 0, 0, 0,\n 0, 0, b, 0, 0,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.saturation = function (amount) {\n const x = (amount || 0) * 2 / 3 + 1;\n const y = ((x - 1) * -0.5);\n _filter.colorMatrix([\n x, y, y, 0, 0,\n y, x, y, 0, 0,\n y, y, x, 0, 0,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.desaturate = function () {\n _filter.saturation(-1);\n };\n\n _filter.contrast = function (amount) {\n const v = (amount || 0) + 1;\n const o = -128 * (v - 1);\n\n _filter.colorMatrix([\n v, 0, 0, 0, o,\n 0, v, 0, 0, o,\n 0, 0, v, 0, o,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.negative = function () {\n _filter.contrast(-2);\n };\n\n _filter.hue = function (rotation) {\n rotation = (rotation || 0) / 180 * Math.PI;\n const cos = Math.cos(rotation);\n const sin = Math.sin(rotation);\n const lumR = 0.213;\n const lumG = 0.715;\n const lumB = 0.072;\n\n _filter.colorMatrix([\n lumR + cos * (1 - lumR) + sin * (-lumR), lumG + cos * (-lumG) + sin * (-lumG), lumB + cos * (-lumB) + sin * (1 - lumB), 0, 0,\n lumR + cos * (-lumR) + sin * (0.143), lumG + cos * (1 - lumG) + sin * (0.140), lumB + cos * (-lumB) + sin * (-0.283), 0, 0,\n lumR + cos * (-lumR) + sin * (-(1 - lumR)), lumG + cos * (-lumG) + sin * (lumG), lumB + cos * (1 - lumB) + sin * (lumB), 0, 0,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.desaturateLuminance = function () {\n _filter.colorMatrix([\n 0.2764723, 0.9297080, 0.0938197, 0, -37.1,\n 0.2764723, 0.9297080, 0.0938197, 0, -37.1,\n 0.2764723, 0.9297080, 0.0938197, 0, -37.1,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.sepia = function () {\n _filter.colorMatrix([\n 0.393, 0.7689999, 0.18899999, 0, 0,\n 0.349, 0.6859999, 0.16799999, 0, 0,\n 0.272, 0.5339999, 0.13099999, 0, 0,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.brownie = function () {\n _filter.colorMatrix([\n 0.5997023498159715, 0.34553243048391263, -0.2708298674538042, 0, 47.43192855600873,\n -0.037703249837783157, 0.8609577587992641, 0.15059552388459913, 0, -36.96841498319127,\n 0.24113635128153335, -0.07441037908422492, 0.44972182064877153, 0, -7.562075277591283,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.vintagePinhole = function () {\n _filter.colorMatrix([\n 0.6279345635605994, 0.3202183420819367, -0.03965408211312453, 0, 9.651285835294123,\n 0.02578397704808868, 0.6441188644374771, 0.03259127616149294, 0, 7.462829176470591,\n 0.0466055556782719, -0.0851232987247891, 0.5241648018700465, 0, 5.159190588235296,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.kodachrome = function () {\n _filter.colorMatrix([\n 1.1285582396593525, -0.3967382283601348, -0.03992559172921793, 0, 63.72958762196502,\n -0.16404339962244616, 1.0835251566291304, -0.05498805115633132, 0, 24.732407896706203,\n -0.16786010706155763, -0.5603416277695248, 1.6014850761964943, 0, 35.62982807460946,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.technicolor = function () {\n _filter.colorMatrix([\n 1.9125277891456083, -0.8545344976951645, -0.09155508482755585, 0, 11.793603434377337,\n -0.3087833385928097, 1.7658908555458428, -0.10601743074722245, 0, -70.35205161461398,\n -0.231103377548616, -0.7501899197440212, 1.847597816108189, 0, 30.950940869491138,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.polaroid = function () {\n _filter.colorMatrix([\n 1.438, -0.062, -0.062, 0, 0,\n -0.122, 1.378, -0.122, 0, 0,\n -0.016, -0.016, 1.483, 0, 0,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.shiftToBGR = function () {\n _filter.colorMatrix([\n 0, 0, 1, 0, 0,\n 0, 1, 0, 0, 0,\n 1, 0, 0, 0, 0,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n // -------------------------------------------------------------------------\n // Convolution Filter\n _filter.convolution = function (matrix) {\n const m = new Float32Array(matrix);\n const pixelSizeX = 1 / _width;\n const pixelSizeY = 1 / _height;\n const program = _compileShader(_filter.convolution.SHADER);\n gl.uniform1fv(program.uniform.m, m);\n gl.uniform2f(program.uniform.px, pixelSizeX, pixelSizeY);\n _draw();\n };\n\n _filter.convolution.SHADER = [\n 'precision highp float;',\n 'varying vec2 vUv;',\n 'uniform sampler2D texture;',\n 'uniform vec2 px;',\n 'uniform float m[9];',\n 'void main(void) {',\n 'vec4 c11 = texture2D(texture, vUv - px);', // top left\n 'vec4 c12 = texture2D(texture, vec2(vUv.x, vUv.y - px.y));', // top center\n 'vec4 c13 = texture2D(texture, vec2(vUv.x + px.x, vUv.y - px.y));', // top right\n 'vec4 c21 = texture2D(texture, vec2(vUv.x - px.x, vUv.y) );', // mid left\n 'vec4 c22 = texture2D(texture, vUv);', // mid center\n 'vec4 c23 = texture2D(texture, vec2(vUv.x + px.x, vUv.y) );', // mid right\n 'vec4 c31 = texture2D(texture, vec2(vUv.x - px.x, vUv.y + px.y) );', // bottom left\n 'vec4 c32 = texture2D(texture, vec2(vUv.x, vUv.y + px.y) );', // bottom center\n 'vec4 c33 = texture2D(texture, vUv + px );', // bottom right\n 'gl_FragColor = ',\n 'c11 * m[0] + c12 * m[1] + c22 * m[2] +',\n 'c21 * m[3] + c22 * m[4] + c23 * m[5] +',\n 'c31 * m[6] + c32 * m[7] + c33 * m[8];',\n 'gl_FragColor.a = c22.a;',\n '}',\n ].join('\\n');\n\n _filter.detectEdges = function () {\n _filter.convolution.call(this, [\n 0, 1, 0,\n 1, -4, 1,\n 0, 1, 0,\n ]);\n };\n\n _filter.sobelX = function () {\n _filter.convolution.call(this, [\n -1, 0, 1,\n -2, 0, 2,\n -1, 0, 1,\n ]);\n };\n\n _filter.sobelY = function () {\n _filter.convolution.call(this, [\n -1, -2, -1,\n 0, 0, 0,\n 1, 2, 1,\n ]);\n };\n\n _filter.sharpen = function (amount) {\n const a = amount || 1;\n _filter.convolution.call(this, [\n 0, -1 * a, 0,\n -1 * a, 1 + 4 * a, -1 * a,\n 0, -1 * a, 0,\n ]);\n };\n\n _filter.emboss = function (size) {\n const s = size || 1;\n _filter.convolution.call(this, [\n -2 * s, -1 * s, 0,\n -1 * s, 1, 1 * s,\n 0, 1 * s, 2 * s,\n ]);\n };\n\n // -------------------------------------------------------------------------\n // Blur Filter\n _filter.blur = function (size) {\n const blurSizeX = (size / 7) / _width;\n const blurSizeY = (size / 7) / _height;\n const program = _compileShader(_filter.blur.SHADER);\n // Vertical\n gl.uniform2f(program.uniform.px, 0, blurSizeY);\n _draw(DRAW.INTERMEDIATE);\n // Horizontal\n gl.uniform2f(program.uniform.px, blurSizeX, 0);\n _draw();\n };\n\n _filter.blur.SHADER = [\n 'precision highp float;',\n 'varying vec2 vUv;',\n 'uniform sampler2D texture;',\n 'uniform vec2 px;',\n 'void main(void) {',\n 'gl_FragColor = vec4(0.0);',\n 'gl_FragColor += texture2D(texture, vUv + vec2(-7.0*px.x, -7.0*px.y))*0.0044299121055113265;',\n 'gl_FragColor += texture2D(texture, vUv + vec2(-6.0*px.x, -6.0*px.y))*0.00895781211794;',\n 'gl_FragColor += texture2D(texture, vUv + vec2(-5.0*px.x, -5.0*px.y))*0.0215963866053;',\n 'gl_FragColor += texture2D(texture, vUv + vec2(-4.0*px.x, -4.0*px.y))*0.0443683338718;',\n 'gl_FragColor += texture2D(texture, vUv + vec2(-3.0*px.x, -3.0*px.y))*0.0776744219933;',\n 'gl_FragColor += texture2D(texture, vUv + vec2(-2.0*px.x, -2.0*px.y))*0.115876621105;',\n 'gl_FragColor += texture2D(texture, vUv + vec2(-1.0*px.x, -1.0*px.y))*0.147308056121;',\n 'gl_FragColor += texture2D(texture, vUv )*0.159576912161;',\n 'gl_FragColor += texture2D(texture, vUv + vec2( 1.0*px.x, 1.0*px.y))*0.147308056121;',\n 'gl_FragColor += texture2D(texture, vUv + vec2( 2.0*px.x, 2.0*px.y))*0.115876621105;',\n 'gl_FragColor += texture2D(texture, vUv + vec2( 3.0*px.x, 3.0*px.y))*0.0776744219933;',\n 'gl_FragColor += texture2D(texture, vUv + vec2( 4.0*px.x, 4.0*px.y))*0.0443683338718;',\n 'gl_FragColor += texture2D(texture, vUv + vec2( 5.0*px.x, 5.0*px.y))*0.0215963866053;',\n 'gl_FragColor += texture2D(texture, vUv + vec2( 6.0*px.x, 6.0*px.y))*0.00895781211794;',\n 'gl_FragColor += texture2D(texture, vUv + vec2( 7.0*px.x, 7.0*px.y))*0.0044299121055113265;',\n '}',\n ].join('\\n');\n\n // -------------------------------------------------------------------------\n // Pixelate Filter\n _filter.pixelate = function (size) {\n const blurSizeX = (size) / _width;\n const blurSizeY = (size) / _height;\n const program = _compileShader(_filter.pixelate.SHADER);\n // Horizontal\n gl.uniform2f(program.uniform.size, blurSizeX, blurSizeY);\n _draw();\n };\n\n _filter.pixelate.SHADER = [\n 'precision highp float;',\n 'varying vec2 vUv;',\n 'uniform vec2 size;',\n 'uniform sampler2D texture;',\n 'vec2 pixelate(vec2 coord, vec2 size) {',\n 'return floor( coord / size ) * size;',\n '}',\n 'void main(void) {',\n 'gl_FragColor = vec4(0.0);',\n 'vec2 coord = pixelate(vUv, size);',\n 'gl_FragColor += texture2D(texture, coord);',\n '}',\n ].join('\\n');\n}\n", "// @ts-nocheck\n\nimport { log } from './log';\nimport * as tf from '../dist/tfjs.esm.js';\nimport * as fxImage from './imagefx';\n\n// internal temp canvases\nlet inCanvas = null;\nlet outCanvas = null;\n// instance of fximage\nlet fx = null;\n\n// process input image and return tensor\n// input can be tensor, imagedata, htmlimageelement, htmlvideoelement\n// input is resized and run through imagefx filter\nexport function process(input, config) {\n let tensor;\n if (input instanceof tf.Tensor) {\n tensor = tf.clone(input);\n } else {\n const originalWidth = input.naturalWidth || input.videoWidth || input.width || (input.shape && (input.shape[1] > 0));\n const originalHeight = input.naturalHeight || input.videoHeight || input.height || (input.shape && (input.shape[2] > 0));\n let targetWidth = originalWidth;\n let targetHeight = originalHeight;\n if (config.filter.width > 0) targetWidth = config.filter.width;\n else if (config.filter.height > 0) targetWidth = originalWidth * (config.filter.height / originalHeight);\n if (config.filter.height > 0) targetHeight = config.filter.height;\n else if (config.filter.width > 0) targetHeight = originalHeight * (config.filter.width / originalWidth);\n if (!targetWidth || !targetHeight) {\n log('Human: invalid input', input);\n return null;\n }\n if (!inCanvas || (inCanvas.width !== targetWidth) || (inCanvas.height !== targetHeight)) {\n inCanvas = (typeof OffscreenCanvas !== 'undefined') ? new OffscreenCanvas(targetWidth, targetHeight) : document.createElement('canvas');\n if (inCanvas.width !== targetWidth) inCanvas.width = targetWidth;\n if (inCanvas.height !== targetHeight) inCanvas.height = targetHeight;\n }\n const ctx = inCanvas.getContext('2d');\n if (input instanceof ImageData) ctx.putImageData(input, 0, 0);\n else ctx.drawImage(input, 0, 0, originalWidth, originalHeight, 0, 0, inCanvas.width, inCanvas.height);\n if (config.filter.enabled) {\n if (!fx || !outCanvas || (inCanvas.width !== outCanvas.width) || (inCanvas.height !== outCanvas.height)) {\n outCanvas = (typeof OffscreenCanvas !== 'undefined') ? new OffscreenCanvas(inCanvas.width, inCanvas.height) : document.createElement('canvas');\n if (outCanvas.width !== inCanvas.width) outCanvas.width = inCanvas.width;\n if (outCanvas.height !== inCanvas.height) outCanvas.height = inCanvas.height;\n log('created FX filter');\n fx = tf.ENV.flags.IS_BROWSER ? new fxImage.GLImageFilter({ canvas: outCanvas }) : null; // && (typeof document !== 'undefined')\n }\n if (!fx) return inCanvas;\n fx.reset();\n fx.addFilter('brightness', config.filter.brightness); // must have at least one filter enabled\n if (config.filter.contrast !== 0) fx.addFilter('contrast', config.filter.contrast);\n if (config.filter.sharpness !== 0) fx.addFilter('sharpen', config.filter.sharpness);\n if (config.filter.blur !== 0) fx.addFilter('blur', config.filter.blur);\n if (config.filter.saturation !== 0) fx.addFilter('saturation', config.filter.saturation);\n if (config.filter.hue !== 0) fx.addFilter('hue', config.filter.hue);\n if (config.filter.negative) fx.addFilter('negative');\n if (config.filter.sepia) fx.addFilter('sepia');\n if (config.filter.vintage) fx.addFilter('brownie');\n if (config.filter.sepia) fx.addFilter('sepia');\n if (config.filter.kodachrome) fx.addFilter('kodachrome');\n if (config.filter.technicolor) fx.addFilter('technicolor');\n if (config.filter.polaroid) fx.addFilter('polaroid');\n if (config.filter.pixelate !== 0) fx.addFilter('pixelate', config.filter.pixelate);\n fx.apply(inCanvas);\n // read pixel data\n /*\n const gl = outCanvas.getContext('webgl');\n if (gl) {\n const glBuffer = new Uint8Array(outCanvas.width * outCanvas.height * 4);\n const pixBuffer = new Uint8Array(outCanvas.width * outCanvas.height * 3);\n gl.readPixels(0, 0, outCanvas.width, outCanvas.height, gl.RGBA, gl.UNSIGNED_BYTE, glBuffer);\n // gl returns rbga while we only need rgb, so discarding alpha channel\n // gl returns starting point as lower left, so need to invert vertical\n let i = 0;\n for (let y = outCanvas.height - 1; y >= 0; y--) {\n for (let x = 0; x < outCanvas.width; x++) {\n const index = (x + y * outCanvas.width) * 4;\n pixBuffer[i++] = glBuffer[index + 0];\n pixBuffer[i++] = glBuffer[index + 1];\n pixBuffer[i++] = glBuffer[index + 2];\n }\n }\n outCanvas.data = pixBuffer;\n }\n */\n } else {\n outCanvas = inCanvas;\n if (fx) fx = null;\n }\n let pixels;\n if (outCanvas.data) {\n const shape = [outCanvas.height, outCanvas.width, 3];\n pixels = tf.tensor3d(outCanvas.data, shape, 'int32');\n } else if ((config.backend === 'webgl') || (outCanvas instanceof ImageData)) {\n // tf kernel-optimized method to get imagedata, also if input is imagedata, just use it\n pixels = tf.browser.fromPixels(outCanvas);\n } else {\n // cpu and wasm kernel does not implement efficient fromPixels method nor we can use canvas as-is, so we do a silly one more canvas\n const tempCanvas = (typeof OffscreenCanvas !== 'undefined') ? new OffscreenCanvas(targetWidth, targetHeight) : document.createElement('canvas');\n tempCanvas.width = targetWidth;\n tempCanvas.height = targetHeight;\n const tempCtx = tempCanvas.getContext('2d');\n tempCtx?.drawImage(outCanvas, 0, 0);\n const data = tempCtx?.getImageData(0, 0, targetWidth, targetHeight);\n pixels = tf.browser.fromPixels(data);\n }\n const casted = pixels.toFloat();\n tensor = casted.expandDims(0);\n pixels.dispose();\n casted.dispose();\n }\n return { tensor, canvas: config.filter.return ? outCanvas : null };\n}\n", "/* eslint-disable indent */\n/* eslint-disable no-multi-spaces */\n\nexport default {\n backend: 'webgl', // select tfjs backend to use\n wasmPath: '../assets/', // path for wasm binaries\n // only used for backend: wasm\n async: true, // execute enabled models in parallel\n // this disables per-model performance data but\n // slightly increases performance\n // cannot be used if profiling is enabled\n profile: false, // enable tfjs profiling\n // this has significant performance impact\n // only enable for debugging purposes\n // currently only implemented for age,gender,emotion models\n deallocate: false, // aggresively deallocate gpu memory after each usage\n // only valid for webgl backend and only during first call\n // cannot be changed unless library is reloaded\n // this has significant performance impact\n // only enable on low-memory devices\n scoped: false, // enable scoped runs\n // some models *may* have memory leaks,\n // this wrapps everything in a local scope at a cost of performance\n // typically not needed\n videoOptimized: true, // perform additional optimizations when input is video,\n // must be disabled for images\n // basically this skips object box boundary detection for every n frames\n // while maintaining in-box detection since objects cannot move that fast\n warmup: 'face', // what to use for human.warmup(), can be 'none', 'face', 'full'\n // warmup pre-initializes all models for faster inference but can take\n // significant time on startup\n filter: {\n enabled: true, // enable image pre-processing filters\n width: 0, // resize input width\n height: 0, // resize input height\n // if both width and height are set to 0, there is no resizing\n // if just one is set, second one is scaled automatically\n // if both are set, values are used as-is\n return: true, // return processed canvas imagedata in result\n brightness: 0, // range: -1 (darken) to 1 (lighten)\n contrast: 0, // range: -1 (reduce contrast) to 1 (increase contrast)\n sharpness: 0, // range: 0 (no sharpening) to 1 (maximum sharpening)\n blur: 0, // range: 0 (no blur) to N (blur radius in pixels)\n saturation: 0, // range: -1 (reduce saturation) to 1 (increase saturation)\n hue: 0, // range: 0 (no change) to 360 (hue rotation in degrees)\n negative: false, // image negative\n sepia: false, // image sepia colors\n vintage: false, // image vintage colors\n kodachrome: false, // image kodachrome colors\n technicolor: false, // image technicolor colors\n polaroid: false, // image polaroid camera effect\n pixelate: 0, // range: 0 (no pixelate) to N (number of pixels to pixelate)\n },\n\n gesture: {\n enabled: true, // enable simple gesture recognition\n },\n\n face: {\n enabled: true, // controls if specified modul is enabled\n // face.enabled is required for all face models:\n // detector, mesh, iris, age, gender, emotion\n // (note: module is not loaded until it is required)\n detector: {\n modelPath: '../models/blazeface-back.json', // can be 'blazeface-front', 'blazeface-front' or 'faceboxes'\n // 'blazeface-front' is blazeface model optimized for large faces such as front-facing camera\n // 'blazeface-back' is blazeface model optimized for smaller and/or distanct faces\n // 'faceboxes' is alternative model to 'blazeface\n inputSize: 256, // fixed value: 128 for front and 256 for 'back'\n rotation: false, // use best-guess rotated face image or just box with rotation as-is\n // false means higher performance, but incorrect mesh mapping if face angle is above 20 degrees\n maxFaces: 10, // maximum number of faces detected in the input\n // should be set to the minimum number for performance\n skipFrames: 11, // how many frames to go without re-running the face bounding box detector\n // only used for video inputs\n // e.g., if model is running st 25 FPS, we can re-use existing bounding\n // box for updated face analysis as the head probably hasn't moved much\n // in short time (10 * 1/25 = 0.25 sec)\n minConfidence: 0.5, // threshold for discarding a prediction\n iouThreshold: 0.2, // threshold for deciding whether boxes overlap too much in\n // non-maximum suppression (0.1 means drop if overlap 10%)\n scoreThreshold: 0.5, // threshold for deciding when to remove boxes based on score\n // in non-maximum suppression,\n // this is applied on detection objects only and before minConfidence\n },\n\n mesh: {\n enabled: true,\n modelPath: '../models/facemesh.json',\n inputSize: 192, // fixed value\n returnRawData: false, // in addition to standard mesh and box values, return raw normalized values as well\n },\n\n iris: {\n enabled: true,\n modelPath: '../models/iris.json',\n inputSize: 64, // fixed value\n },\n\n age: {\n enabled: true,\n modelPath: '../models/age-ssrnet-imdb.json', // can be 'age-ssrnet-imdb' or 'age-ssrnet-wiki'\n // which determines training set for model\n inputSize: 64, // fixed value\n skipFrames: 31, // how many frames to go without re-running the detector\n // only used for video inputs\n },\n\n gender: {\n enabled: true,\n minConfidence: 0.1, // threshold for discarding a prediction\n modelPath: '../models/gender-ssrnet-imdb.json', // can be 'gender', 'gender-ssrnet-imdb' or 'gender-ssrnet-wiki'\n inputSize: 64, // fixed value\n skipFrames: 41, // how many frames to go without re-running the detector\n // only used for video inputs\n },\n\n emotion: {\n enabled: true,\n inputSize: 64, // fixed value\n minConfidence: 0.2, // threshold for discarding a prediction\n skipFrames: 21, // how many frames to go without re-running the detector\n modelPath: '../models/emotion-large.json', // can be 'mini', 'large'\n },\n\n embedding: {\n enabled: false,\n inputSize: 112, // fixed value\n modelPath: '../models/mobilefacenet.json',\n },\n },\n\n body: {\n enabled: true,\n modelPath: '../models/posenet.json',\n inputSize: 257, // fixed value\n maxDetections: 10, // maximum number of people detected in the input\n // should be set to the minimum number for performance\n scoreThreshold: 0.5, // threshold for deciding when to remove boxes based on score\n // in non-maximum suppression\n nmsRadius: 20, // radius for deciding points are too close in non-maximum suppression\n outputStride: 16, // size of block in which to run point detectopn, smaller value means higher resolution\n // defined by model itself, can be 8, 16, or 32\n modelType: 'MobileNet', // Human includes MobileNet version, but you can switch to ResNet\n },\n\n hand: {\n enabled: true,\n rotation: false, // use best-guess rotated hand image or just box with rotation as-is\n // false means higher performance, but incorrect finger mapping if hand is inverted\n inputSize: 256, // fixed value\n skipFrames: 12, // how many frames to go without re-running the hand bounding box detector\n // only used for video inputs\n // e.g., if model is running st 25 FPS, we can re-use existing bounding\n // box for updated hand skeleton analysis as the hand probably\n // hasn't moved much in short time (10 * 1/25 = 0.25 sec)\n minConfidence: 0.1, // threshold for discarding a prediction\n iouThreshold: 0.1, // threshold for deciding whether boxes overlap too much\n // in non-maximum suppression\n scoreThreshold: 0.5, // threshold for deciding when to remove boxes based on\n // score in non-maximum suppression\n maxHands: 1, // maximum number of hands detected in the input\n // should be set to the minimum number for performance\n landmarks: true, // detect hand landmarks or just hand boundary box\n detector: {\n modelPath: '../models/handdetect.json',\n },\n skeleton: {\n modelPath: '../models/handskeleton.json',\n },\n },\n};\n", "// data:image/jpeg;base64,\nexport const face = 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"async function drawGesture(result, canvas, ui) {\n if (!result) return;\n const ctx = canvas.getContext('2d');\n ctx.font = ui.baseFont;\n ctx.fillStyle = ui.baseLabel;\n let i = 1;\n for (let gesture = 0; gesture < result.length; gesture++) {\n const [where, what] = Object.entries(result[gesture]);\n if ((what.length > 1) && (what[1].length > 0)) {\n const person = where[1] > 0 ? `#${where[1]}` : '';\n const label = `${where[0]} ${person}: ${what[1]}`;\n ctx.fillStyle = 'black';\n ctx.fillText(label, 8, 2 + (i * ui.baseLineHeight));\n ctx.fillStyle = ui.baseLabel;\n ctx.fillText(label, 6, 0 + (i * ui.baseLineHeight));\n i += 1;\n }\n }\n}\n\nasync function drawFace(result, canvas, ui, triangulation) {\n if (!result) return;\n const ctx = canvas.getContext('2d');\n for (const face of result) {\n ctx.font = ui.baseFont;\n ctx.strokeStyle = ui.baseColor;\n ctx.fillStyle = ui.baseColor;\n ctx.lineWidth = ui.baseLineWidth;\n ctx.beginPath();\n if (ui.drawBoxes) {\n ctx.rect(face.box[0], face.box[1], face.box[2], face.box[3]);\n }\n // silly hack since fillText does not suport new line\n const labels = [];\n // labels.push(`${Math.trunc(100 * face.confidence)}% face`);\n if (face.genderConfidence) labels.push(`${face.gender || ''} ${Math.trunc(100 * face.genderConfidence)}% confident`);\n // if (face.genderConfidence) labels.push(face.gender);\n if (face.age) labels.push(`age: ${face.age || ''}`);\n if (face.iris) labels.push(`iris distance: ${face.iris}`);\n if (face.emotion && face.emotion.length > 0) {\n const emotion = face.emotion.map((a) => `${Math.trunc(100 * a.score)}% ${a.emotion}`);\n labels.push(emotion.join(' '));\n }\n if (labels.length === 0) labels.push('face');\n ctx.fillStyle = ui.baseLabel;\n for (let i = 0; i < labels.length; i++) {\n ctx.fillStyle = 'black';\n ctx.fillText(labels[i], face.box[0] + 1, face.box[1] - ((labels.length - i) * ui.baseLineHeight) + 6);\n ctx.fillStyle = ui.baseLabel;\n ctx.fillText(labels[i], face.box[0] + 0, face.box[1] - ((labels.length - i) * ui.baseLineHeight) + 5);\n }\n ctx.fillStyle = ui.baseColor;\n ctx.stroke();\n ctx.lineWidth = 1;\n if (face.mesh) {\n if (ui.drawPoints) {\n for (const point of face.mesh) {\n ctx.fillStyle = ui.useDepth ? `rgba(${127.5 + (2 * point[2])}, ${127.5 - (2 * point[2])}, 255, 0.5)` : ui.baseColor;\n ctx.beginPath();\n ctx.arc(point[0], point[1], 2, 0, 2 * Math.PI);\n ctx.fill();\n }\n }\n if (ui.drawPolygons) {\n for (let i = 0; i < triangulation.length / 3; i++) {\n const points = [\n triangulation[i * 3 + 0],\n triangulation[i * 3 + 1],\n triangulation[i * 3 + 2],\n ].map((index) => face.mesh[index]);\n const path = new Path2D();\n path.moveTo(points[0][0], points[0][1]);\n for (const point of points) {\n path.lineTo(point[0], point[1]);\n }\n path.closePath();\n ctx.strokeStyle = ui.useDepth ? `rgba(${127.5 + (2 * points[0][2])}, ${127.5 - (2 * points[0][2])}, 255, 0.3)` : ui.baseColor;\n ctx.stroke(path);\n if (ui.fillPolygons) {\n ctx.fillStyle = ui.useDepth ? `rgba(${127.5 + (2 * points[0][2])}, ${127.5 - (2 * points[0][2])}, 255, 0.3)` : ui.baseColor;\n ctx.fill(path);\n }\n }\n // iris: array[center, left, top, right, bottom]\n if (face.annotations && face.annotations.leftEyeIris) {\n ctx.strokeStyle = ui.useDepth ? 'rgba(255, 200, 255, 0.3)' : ui.baseColor;\n ctx.beginPath();\n const sizeX = Math.abs(face.annotations.leftEyeIris[3][0] - face.annotations.leftEyeIris[1][0]) / 2;\n const sizeY = Math.abs(face.annotations.leftEyeIris[4][1] - face.annotations.leftEyeIris[2][1]) / 2;\n ctx.ellipse(face.annotations.leftEyeIris[0][0], face.annotations.leftEyeIris[0][1], sizeX, sizeY, 0, 0, 2 * Math.PI);\n ctx.stroke();\n if (ui.fillPolygons) {\n ctx.fillStyle = ui.useDepth ? 'rgba(255, 255, 200, 0.3)' : ui.baseColor;\n ctx.fill();\n }\n }\n if (face.annotations && face.annotations.rightEyeIris) {\n ctx.strokeStyle = ui.useDepth ? 'rgba(255, 200, 255, 0.3)' : ui.baseColor;\n ctx.beginPath();\n const sizeX = Math.abs(face.annotations.rightEyeIris[3][0] - face.annotations.rightEyeIris[1][0]) / 2;\n const sizeY = Math.abs(face.annotations.rightEyeIris[4][1] - face.annotations.rightEyeIris[2][1]) / 2;\n ctx.ellipse(face.annotations.rightEyeIris[0][0], face.annotations.rightEyeIris[0][1], sizeX, sizeY, 0, 0, 2 * Math.PI);\n ctx.stroke();\n if (ui.fillPolygons) {\n ctx.fillStyle = ui.useDepth ? 'rgba(255, 255, 200, 0.3)' : ui.baseColor;\n ctx.fill();\n }\n }\n }\n }\n }\n}\n\nconst lastDrawnPose = [];\nasync function drawBody(result, canvas, ui) {\n if (!result) return;\n const ctx = canvas.getContext('2d');\n ctx.lineJoin = 'round';\n for (let i = 0; i < result.length; i++) {\n if (!lastDrawnPose[i] && ui.buffered) lastDrawnPose[i] = { ...result[i] };\n ctx.fillStyle = ui.baseColor;\n ctx.strokeStyle = ui.baseColor;\n ctx.font = ui.baseFont;\n ctx.lineWidth = ui.baseLineWidth;\n if (ui.drawPoints) {\n for (let pt = 0; pt < result[i].keypoints.length; pt++) {\n ctx.beginPath();\n if (ui.buffered) {\n lastDrawnPose[i].keypoints[pt].position.x = (lastDrawnPose[i].keypoints[pt].position.x + result[i].keypoints[pt].position.x) / 2;\n lastDrawnPose[i].keypoints[pt].position.y = (lastDrawnPose[i].keypoints[pt].position.y + result[i].keypoints[pt].position.y) / 2;\n ctx.arc(lastDrawnPose[i].keypoints[pt].position.x, lastDrawnPose[i].keypoints[pt].position.y, 2, 0, 2 * Math.PI);\n } else {\n ctx.arc(result[i].keypoints[pt].position.x, result[i].keypoints[pt].position.y, 2, 0, 2 * Math.PI);\n }\n ctx.fill();\n }\n }\n if (ui.drawPolygons) {\n const path = new Path2D();\n let root;\n let part;\n // torso\n root = result[i].keypoints.find((a) => a.part === 'leftShoulder');\n if (root) {\n path.moveTo(root.position.x, root.position.y);\n part = result[i].keypoints.find((a) => a.part === 'rightShoulder');\n if (part) path.lineTo(part.position.x, part.position.y);\n part = result[i].keypoints.find((a) => a.part === 'rightHip');\n if (part) path.lineTo(part.position.x, part.position.y);\n part = result[i].keypoints.find((a) => a.part === 'leftHip');\n if (part) path.lineTo(part.position.x, part.position.y);\n part = result[i].keypoints.find((a) => a.part === 'leftShoulder');\n if (part) path.lineTo(part.position.x, part.position.y);\n }\n // leg left\n root = result[i].keypoints.find((a) => a.part === 'leftHip');\n if (root) {\n path.moveTo(root.position.x, root.position.y);\n part = result[i].keypoints.find((a) => a.part === 'leftKnee');\n if (part) path.lineTo(part.position.x, part.position.y);\n part = result[i].keypoints.find((a) => a.part === 'leftAnkle');\n if (part) path.lineTo(part.position.x, part.position.y);\n }\n // leg right\n root = result[i].keypoints.find((a) => a.part === 'rightHip');\n if (root) {\n path.moveTo(root.position.x, root.position.y);\n part = result[i].keypoints.find((a) => a.part === 'rightKnee');\n if (part) path.lineTo(part.position.x, part.position.y);\n part = result[i].keypoints.find((a) => a.part === 'rightAnkle');\n if (part) path.lineTo(part.position.x, part.position.y);\n }\n // arm left\n root = result[i].keypoints.find((a) => a.part === 'leftShoulder');\n if (root) {\n path.moveTo(root.position.x, root.position.y);\n part = result[i].keypoints.find((a) => a.part === 'leftElbow');\n if (part) path.lineTo(part.position.x, part.position.y);\n part = result[i].keypoints.find((a) => a.part === 'leftWrist');\n if (part) path.lineTo(part.position.x, part.position.y);\n }\n // arm right\n root = result[i].keypoints.find((a) => a.part === 'rightShoulder');\n if (root) {\n path.moveTo(root.position.x, root.position.y);\n part = result[i].keypoints.find((a) => a.part === 'rightElbow');\n if (part) path.lineTo(part.position.x, part.position.y);\n part = result[i].keypoints.find((a) => a.part === 'rightWrist');\n if (part) path.lineTo(part.position.x, part.position.y);\n }\n // draw all\n ctx.stroke(path);\n }\n }\n}\n\nasync function drawHand(result, canvas, ui) {\n if (!result) return;\n const ctx = canvas.getContext('2d');\n ctx.lineJoin = 'round';\n for (const hand of result) {\n ctx.font = ui.baseFont;\n ctx.lineWidth = ui.baseLineWidth;\n if (ui.drawBoxes) {\n ctx.lineWidth = ui.baseLineWidth;\n ctx.beginPath();\n ctx.strokeStyle = ui.baseColor;\n ctx.fillStyle = ui.baseColor;\n ctx.rect(hand.box[0], hand.box[1], hand.box[2], hand.box[3]);\n ctx.fillStyle = 'black';\n ctx.fillText('hand', hand.box[0] + 3, 1 + hand.box[1] + ui.baseLineHeight, hand.box[2]);\n ctx.fillStyle = ui.baseLabel;\n ctx.fillText('hand', hand.box[0] + 2, 0 + hand.box[1] + ui.baseLineHeight, hand.box[2]);\n ctx.stroke();\n }\n if (ui.drawPoints) {\n if (hand.landmarks && hand.landmarks.length > 0) {\n for (const point of hand.landmarks) {\n ctx.fillStyle = ui.useDepth ? `rgba(${127.5 + (2 * point[2])}, ${127.5 - (2 * point[2])}, 255, 0.5)` : ui.baseColor;\n ctx.beginPath();\n ctx.arc(point[0], point[1], 2, 0, 2 * Math.PI);\n ctx.fill();\n }\n }\n }\n if (ui.drawPolygons) {\n const addPart = (part) => {\n if (!part) return;\n for (let i = 0; i < part.length; i++) {\n ctx.lineWidth = ui.baseLineWidth;\n ctx.beginPath();\n ctx.strokeStyle = ui.useDepth ? `rgba(${127.5 + (2 * part[i][2])}, ${127.5 - (2 * part[i][2])}, 255, 0.5)` : ui.baseColor;\n ctx.moveTo(part[i > 0 ? i - 1 : 0][0], part[i > 0 ? i - 1 : 0][1]);\n ctx.lineTo(part[i][0], part[i][1]);\n ctx.stroke();\n }\n };\n addPart(hand.annotations.indexFinger);\n addPart(hand.annotations.middleFinger);\n addPart(hand.annotations.ringFinger);\n addPart(hand.annotations.pinky);\n addPart(hand.annotations.thumb);\n // addPart(hand.annotations.palmBase);\n }\n }\n}\n\n// eslint-disable-next-line import/prefer-default-export\nexport default {\n face: drawFace,\n body: drawBody,\n hand: drawHand,\n gesture: drawGesture,\n};\n", "let instance = 0;\nlet CSScreated = false;\n\nlet theme = {\n background: 'darkslategray',\n hover: 'lightgray',\n itemBackground: 'black',\n itemColor: 'white',\n buttonBackground: 'lightblue',\n buttonHover: 'lightgreen',\n checkboxOn: 'lightgreen',\n checkboxOff: 'lightcoral',\n rangeBackground: 'lightblue',\n rangeLabel: 'white',\n chartColor: 'lightblue',\n};\n\nfunction createCSS() {\n if (CSScreated) return;\n const css = `\n :root { --rounded: 0.2rem; }\n .menu { position: absolute; top: 0rem; right: 0; width: max-content; padding: 0 0.2rem 0 0.2rem; line-height: 1.8rem; z-index: 10;\n box-shadow: 0 0 8px dimgrey; background: ${theme.background}; border-radius: var(--rounded); border-color: black; border-style: solid; border-width: thin; }\n\n .menu:hover { box-shadow: 0 0 8px ${theme.hover}; }\n .menu-container { display: block; max-height: 100vh; }\n .menu-container-fadeout { max-height: 0; overflow: hidden; transition: max-height, 0.5s ease; }\n .menu-container-fadein { max-height: 100vh; overflow: hidden; transition: max-height, 0.5s ease; }\n .menu-item { display: flex; white-space: nowrap; padding: 0.2rem; cursor: default; width: 100%; }\n .menu-title { cursor: pointer; }\n .menu-hr { margin: 0.2rem; border: 1px solid rgba(0, 0, 0, 0.5) }\n .menu-label { padding: 0; font-weight: 800; }\n\n .menu-list { margin-right: 0.8rem; }\n select:focus { outline: none; }\n .menu-list-item { background: ${theme.itemBackground}; color: ${theme.itemColor}; border: none; padding: 0.2rem; font-family: inherit;\n font-variant: inherit; border-radius: var(--rounded); font-weight: 800; }\n\n .menu-chart-title { padding: 0; font-size: 0.8rem; font-weight: 800; align-items: center}\n .menu-chart-canvas { background: transparent; margin: 0.2rem 0 0.2rem 0.6rem; }\n \n .menu-button { border: 0; background: ${theme.buttonBackground}; width: -webkit-fill-available; padding: 8px; margin: 8px; cursor: pointer; box-shadow: 4px 4px 4px 0 dimgrey;\n border-radius: var(--rounded); justify-content: center; font-family: inherit; font-variant: inherit; font-size: 1rem; font-weight: 800; }\n .menu-button:hover { background: ${theme.buttonHover}; box-shadow: 4px 4px 4px 0 black; }\n .menu-button:focus { outline: none; }\n\n .menu-checkbox { width: 2.8rem; height: 1rem; background: ${theme.itemBackground}; margin: 0.5rem 0.5rem 0 0; position: relative; border-radius: var(--rounded); }\n .menu-checkbox:after { content: 'OFF'; color: ${theme.checkboxOff}; position: absolute; right: 0.2rem; top: -0.4rem; font-weight: 800; font-size: 0.5rem; }\n .menu-checkbox:before { content: 'ON'; color: ${theme.checkboxOn}; position: absolute; left: 0.3rem; top: -0.4rem; font-weight: 800; font-size: 0.5rem; }\n .menu-checkbox-label { width: 1.3rem; height: 0.8rem; cursor: pointer; position: absolute; top: 0.1rem; left: 0.1rem; z-index: 1; background: ${theme.checkboxOff};\n border-radius: var(--rounded); transition: left 0.6s ease; }\n\n input[type=checkbox] { visibility: hidden; }\n input[type=checkbox]:checked + label { left: 1.4rem; background: ${theme.checkboxOn}; }\n\n .menu-range { margin: 0.2rem 0.5rem 0 0; width: 3.5rem; background: transparent; color: ${theme.rangeBackground}; }\n .menu-range:before { color: ${theme.rangeLabel}; margin: 0 0.4rem 0 0; font-weight: 800; font-size: 0.6rem; position: relative; top: 0.3rem; content: attr(value); }\n\n input[type=range] { -webkit-appearance: none; }\n input[type=range]::-webkit-slider-runnable-track { width: 100%; height: 1rem; cursor: pointer; background: ${theme.itemBackground}; border-radius: var(--rounded); border: 1px; }\n input[type=range]::-moz-range-track { width: 100%; height: 1rem; cursor: pointer; background: ${theme.itemBackground}; border-radius: var(--rounded); border: 1px; }\n input[type=range]::-webkit-slider-thumb { border: 1px solid #000000; margin-top: 0.05rem; height: 0.9rem; width: 1rem; border-radius: var(--rounded); background: ${theme.rangeBackground}; cursor: pointer; -webkit-appearance: none; }\n input[type=range]::-moz-range-thumb { border: 1px solid #000000; margin-top: 0.05rem; height: 0.9rem; width: 1rem; border-radius: var(--rounded); background: ${theme.rangeBackground}; cursor: pointer; -webkit-appearance: none; }\n\n .svg-background { fill:darkslategrey; cursor:pointer; opacity: 0.6; }\n .svg-foreground { fill:white; cursor:pointer; opacity: 0.8; }\n `;\n const el = document.createElement('style');\n el.innerHTML = css;\n document.getElementsByTagName('head')[0].appendChild(el);\n CSScreated = true;\n}\n\nclass Menu {\n constructor(parent, title, position, userTheme) {\n if (userTheme) theme = { ...theme, ...userTheme };\n createCSS();\n this.createMenu(parent, title, position);\n this.id = 0;\n this.instance = instance;\n instance++;\n this._maxFPS = 0;\n this.hidden = 0;\n }\n\n createMenu(parent, title = '', position = { top: null, left: null, bottom: null, right: null }) {\n this.menu = document.createElement('div');\n this.menu.id = `menu-${instance}`;\n this.menu.className = 'menu';\n if (position) {\n if (position.top) this.menu.style.top = position.top;\n if (position.bottom) this.menu.style.bottom = position.bottom;\n if (position.left) this.menu.style.left = position.left;\n if (position.right) this.menu.style.right = position.right;\n }\n\n this.container = document.createElement('div');\n this.container.id = `menu-container-${instance}`;\n this.container.className = 'menu-container menu-container-fadein';\n\n // set menu title with pulldown arrow\n const elTitle = document.createElement('div');\n elTitle.className = 'menu-title';\n elTitle.id = `menu-title-${instance}`;\n const svg = `\n \n \n `;\n if (title) elTitle.innerHTML = `${title}${svg}`;\n this.menu.appendChild(elTitle);\n elTitle.addEventListener('click', () => {\n this.container.classList.toggle('menu-container-fadeout');\n this.container.classList.toggle('menu-container-fadein');\n this.menu.style.borderStyle = this.container.classList.contains('menu-container-fadeout') ? 'none' : 'solid';\n });\n\n this.menu.appendChild(this.container);\n if (typeof parent === 'object') parent.appendChild(this.menu);\n else document.getElementById(parent).appendChild(this.menu);\n }\n\n get newID() {\n this.id++;\n return `menu-${this.instance}-${this.id}`;\n }\n\n get ID() {\n return `menu-${this.instance}-${this.id}`;\n }\n\n get width() {\n return this.menu.offsetWidth;\n }\n\n get height() {\n return this.menu.offsetHeight;\n }\n\n hide() {\n if (this.container.classList.contains('menu-container-fadein')) {\n this.container.classList.toggle('menu-container-fadeout');\n this.container.classList.toggle('menu-container-fadein');\n }\n }\n\n visible() {\n return (this.container.classList.contains('menu-container-fadein'));\n }\n\n toggle(evt) {\n this.container.classList.toggle('menu-container-fadeout');\n this.container.classList.toggle('menu-container-fadein');\n if (this.container.classList.contains('menu-container-fadein') && evt) {\n const x = evt.x || (evt.touches && evt.touches[0] ? evt.touches[0].pageX : null);\n // const y = evt.y || (evt.touches && evt.touches[0] ? evt.touches[0].pageY : null);\n if (x) this.menu.style.left = `${x - (this.menu.offsetWidth / 2)}px`;\n // if (y) this.menu.style.top = '5.5rem'; // `${evt.y + 55}px`;\n if (this.menu.offsetLeft < 0) this.menu.style.left = 0;\n if ((this.menu.offsetLeft + this.menu.offsetWidth) > window.innerWidth) {\n this.menu.style.left = null;\n this.menu.style.right = 0;\n }\n this.menu.style.borderStyle = 'solid';\n } else {\n this.menu.style.borderStyle = 'none';\n }\n }\n\n addTitle(title) {\n const el = document.createElement('div');\n el.className = 'menu-title';\n el.id = this.newID;\n el.innerHTML = title;\n this.menu.appendChild(el);\n el.addEventListener('click', () => {\n this.hidden = !this.hidden;\n const all = document.getElementsByClassName('menu');\n for (const item of all) {\n item.style.display = this.hidden ? 'none' : 'block';\n }\n });\n return el;\n }\n\n addLabel(title) {\n const el = document.createElement('div');\n el.className = 'menu-item menu-label';\n el.id = this.newID;\n el.innerHTML = title;\n this.container.appendChild(el);\n return el;\n }\n\n addBool(title, object, variable, callback) {\n const el = document.createElement('div');\n el.className = 'menu-item';\n el.innerHTML = `
${title}`;\n this.container.appendChild(el);\n el.addEventListener('change', (evt) => {\n object[variable] = evt.target.checked;\n if (callback) callback(evt.target.checked);\n });\n return el;\n }\n\n async addList(title, items, selected, callback) {\n const el = document.createElement('div');\n el.className = 'menu-item';\n let options = '';\n for (const item of items) {\n const def = item === selected ? 'selected' : '';\n options += ``;\n }\n el.innerHTML = `
${title}`;\n el.style.fontFamily = document.body.style.fontFamily;\n el.style.fontSize = document.body.style.fontSize;\n el.style.fontVariant = document.body.style.fontVariant;\n this.container.appendChild(el);\n el.addEventListener('change', (evt) => {\n if (callback) callback(items[evt.target.selectedIndex]);\n });\n return el;\n }\n\n addRange(title, object, variable, min, max, step, callback) {\n const el = document.createElement('div');\n el.className = 'menu-item';\n el.innerHTML = `${title}`;\n this.container.appendChild(el);\n el.addEventListener('change', (evt) => {\n object[variable] = parseInt(evt.target.value) === parseFloat(evt.target.value) ? parseInt(evt.target.value) : parseFloat(evt.target.value);\n evt.target.setAttribute('value', evt.target.value);\n if (callback) callback(evt.target.value);\n });\n el.input = el.children[0];\n return el;\n }\n\n addHTML(html) {\n const el = document.createElement('div');\n el.className = 'menu-item';\n el.id = this.newID;\n if (html) el.innerHTML = html;\n this.container.appendChild(el);\n return el;\n }\n\n addButton(titleOn, titleOff, callback) {\n const el = document.createElement('button');\n el.className = 'menu-item menu-button';\n el.style.fontFamily = document.body.style.fontFamily;\n el.style.fontSize = document.body.style.fontSize;\n el.style.fontVariant = document.body.style.fontVariant;\n el.type = 'button';\n el.id = this.newID;\n el.innerText = titleOn;\n this.container.appendChild(el);\n el.addEventListener('click', () => {\n if (el.innerText === titleOn) el.innerText = titleOff;\n else el.innerText = titleOn;\n if (callback) callback(el.innerText !== titleOn);\n });\n return el;\n }\n\n addValue(title, val, suffix = '') {\n const el = document.createElement('div');\n el.className = 'menu-item';\n el.id = `menu-val-${title}`;\n el.innerText = `${title}: ${val}${suffix}`;\n this.container.appendChild(el);\n return el;\n }\n\n // eslint-disable-next-line class-methods-use-this\n updateValue(title, val, suffix = '') {\n const el = document.getElementById(`menu-val-${title}`);\n if (el) el.innerText = `${title}: ${val}${suffix}`;\n else this.addValue(title, val);\n }\n\n addChart(title, id, width = 150, height = 40, color) {\n if (color) theme.chartColor = color;\n const el = document.createElement('div');\n el.className = 'menu-item menu-chart-title';\n el.id = this.newID;\n el.innerHTML = `${title}`;\n this.container.appendChild(el);\n return el;\n }\n\n // eslint-disable-next-line class-methods-use-this\n async updateChart(id, values) {\n if (!values || (values.length === 0)) return;\n const canvas = document.getElementById(`menu-canvas-${id}`);\n if (!canvas) return;\n const ctx = canvas.getContext('2d');\n ctx.fillStyle = theme.background;\n ctx.fillRect(0, 0, canvas.width, canvas.height);\n const width = canvas.width / values.length;\n const max = 1 + Math.max(...values);\n const height = canvas.height / max;\n for (let i = 0; i < values.length; i++) {\n const gradient = ctx.createLinearGradient(0, (max - values[i]) * height, 0, 0);\n gradient.addColorStop(0.1, theme.chartColor);\n gradient.addColorStop(0.4, theme.background);\n ctx.fillStyle = gradient;\n ctx.fillRect(i * width, 0, width - 4, canvas.height);\n ctx.fillStyle = theme.background;\n ctx.font = `${width / 1.5}px \"Segoe UI\"`;\n ctx.fillText(Math.round(values[i]), i * width + 1, canvas.height - 1, width - 1);\n }\n }\n}\n\nexport default Menu;\n", "/* eslint-disable max-len */\n\n// based on: https://github.com/munrocket/gl-bench\n\nconst UICSS = `\n #gl-bench { position: absolute; right: 1rem; bottom: 1rem; z-index:1000; -webkit-user-select: none; -moz-user-select: none; user-select: none; }\n #gl-bench div { position: relative; display: block; margin: 4px; padding: 0 7px 0 10px; background: darkslategray; border-radius: 0.2rem; cursor: pointer; opacity: 0.9; }\n #gl-bench svg { height: 60px; margin: 0 0px 0px 4px; }\n #gl-bench text { font-size: 16px; font-family: 'Lato', 'Segoe UI'; dominant-baseline: middle; text-anchor: middle; }\n #gl-bench .gl-mem { font-size: 12px; fill: white; }\n #gl-bench .gl-fps { font-size: 13px; fill: white; }\n #gl-bench line { stroke-width: 5; stroke: white; stroke-linecap: round; }\n #gl-bench polyline { fill: none; stroke: white; stroke-linecap: round; stroke-linejoin: round; stroke-width: 3.5; }\n #gl-bench rect { fill: black; }\n #gl-bench .opacity { stroke: black; }\n `;\n\nconst UISVG = `\n
\n \n 00 FPS\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n `;\n\nclass GLBench {\n /** GLBench constructor\n * @param { WebGLRenderingContext | WebGL2RenderingContext } gl context\n * @param { Object | undefined } settings additional settings\n */\n constructor(gl, settings = {}) {\n this.css = UICSS;\n this.svg = UISVG;\n // eslint-disable-next-line @typescript-eslint/no-empty-function\n this.paramLogger = () => {};\n // eslint-disable-next-line @typescript-eslint/no-empty-function\n this.chartLogger = () => {};\n this.chartLen = 20;\n this.chartHz = 20;\n\n this.names = [];\n this.cpuAccums = [];\n this.gpuAccums = [];\n this.activeAccums = [];\n this.chart = new Array(this.chartLen);\n this.now = () => ((performance && performance.now) ? performance.now() : Date.now());\n this.updateUI = () => {\n [].forEach.call(this.nodes['gl-gpu-svg'], (node) => node.style.display = this.trackGPU ? 'inline' : 'none');\n };\n\n Object.assign(this, settings);\n this.detected = 0;\n this.finished = [];\n this.isFramebuffer = 0;\n this.frameId = 0;\n\n // 120hz device detection\n let rafId; let n = 0; let\n t0;\n const loop = (t) => {\n if (++n < 20) {\n rafId = requestAnimationFrame(loop);\n } else {\n this.detected = Math.ceil(1e3 * n / (t - t0) / 70);\n cancelAnimationFrame(rafId);\n }\n if (!t0) t0 = t;\n };\n requestAnimationFrame(loop);\n\n // attach gpu profilers\n if (gl) {\n const glFinish = async (t, activeAccums) => Promise.resolve(setTimeout(() => {\n gl.getError();\n const dt = this.now() - t;\n activeAccums.forEach((active, i) => {\n if (active) this.gpuAccums[i] += dt;\n });\n }, 0));\n\n const addProfiler = (fn, self, target) => {\n const t = self.now();\n // eslint-disable-next-line prefer-rest-params\n fn.apply(target, arguments);\n if (self.trackGPU) self.finished.push(glFinish(t, self.activeAccums.slice(0)));\n };\n\n /* ['drawArrays', 'drawElements', 'drawArraysInstanced', 'drawBuffers', 'drawElementsInstanced', 'drawRangeElements'].forEach((fn) => {\n if (gl[fn]) {\n gl[fn] = addProfiler(gl[fn], this, gl);\n }\n });\n */\n const fn = 'drawElements';\n if (gl[fn]) {\n gl[fn] = addProfiler(gl[fn], this, gl);\n } else {\n // eslint-disable-next-line no-console\n console.log('bench: cannot attach to webgl function');\n }\n\n /*\n gl.getExtension = ((fn, self) => {\n // eslint-disable-next-line prefer-rest-params\n const ext = fn.apply(gl, arguments);\n if (ext) {\n ['drawElementsInstancedANGLE', 'drawBuffersWEBGL'].forEach((fn2) => {\n if (ext[fn2]) {\n ext[fn2] = addProfiler(ext[fn2], self, ext);\n }\n });\n }\n return ext;\n })(gl.getExtension, this);\n */\n }\n\n // init ui and ui loggers\n if (!this.withoutUI) {\n if (!this.dom) this.dom = document.body;\n const elm = document.createElement('div');\n elm.id = 'gl-bench';\n this.dom.appendChild(elm);\n this.dom.insertAdjacentHTML('afterbegin', '');\n this.dom = elm;\n this.dom.addEventListener('click', () => {\n this.trackGPU = !this.trackGPU;\n this.updateUI();\n });\n\n this.paramLogger = ((logger, dom, names) => {\n const classes = ['gl-cpu', 'gl-gpu', 'gl-mem', 'gl-fps', 'gl-gpu-svg', 'gl-chart'];\n const nodes = { ...classes };\n classes.forEach((c) => nodes[c] = dom.getElementsByClassName(c));\n this.nodes = nodes;\n return (i, cpu, gpu, mem, fps, totalTime, frameId) => {\n nodes['gl-cpu'][i].style.strokeDasharray = (cpu * 0.27).toFixed(0) + ' 100';\n nodes['gl-gpu'][i].style.strokeDasharray = (gpu * 0.27).toFixed(0) + ' 100';\n // eslint-disable-next-line no-nested-ternary\n nodes['gl-mem'][i].innerHTML = names[i] ? names[i] : (mem ? 'mem: ' + mem.toFixed(0) + 'mb' : '');\n nodes['gl-fps'][i].innerHTML = 'FPS: ' + fps.toFixed(1);\n logger(names[i], cpu, gpu, mem, fps, totalTime, frameId);\n };\n })(this.paramLogger, this.dom, this.names);\n\n this.chartLogger = ((logger, dom) => {\n const nodes = { 'gl-chart': dom.getElementsByClassName('gl-chart') };\n return (i, chart, circularId) => {\n let points = '';\n const len = chart.length;\n for (let j = 0; j < len; j++) {\n const id = (circularId + j + 1) % len;\n if (chart[id] !== undefined) points = points + ' ' + (55 * j / (len - 1)).toFixed(1) + ',' + (45 - chart[id] * 22 / 60 / this.detected).toFixed(1);\n }\n nodes['gl-chart'][i].setAttribute('points', points);\n logger(this.names[i], chart, circularId);\n };\n })(this.chartLogger, this.dom);\n }\n }\n\n /**\n * Explicit UI add\n * @param { string | undefined } name\n */\n addUI(name) {\n if (this.names.indexOf(name) === -1) {\n this.names.push(name);\n if (this.dom) {\n this.dom.insertAdjacentHTML('beforeend', this.svg);\n this.updateUI();\n }\n this.cpuAccums.push(0);\n this.gpuAccums.push(0);\n this.activeAccums.push(false);\n }\n }\n\n /**\n * Increase frameID\n * @param { number | undefined } now\n */\n nextFrame(now) {\n this.frameId++;\n const t = now || this.now();\n\n // params\n if (this.frameId <= 1) {\n this.paramFrame = this.frameId;\n this.paramTime = t;\n } else {\n const duration = t - this.paramTime;\n if (duration >= 1e3) {\n const frameCount = this.frameId - this.paramFrame;\n const fps = frameCount / duration * 1e3;\n for (let i = 0; i < this.names.length; i++) {\n const cpu = this.cpuAccums[i] / duration * 100;\n const gpu = this.gpuAccums[i] / duration * 100;\n const mem = (performance && performance.memory) ? performance.memory.usedJSHeapSize / (1 << 20) : 0;\n this.paramLogger(i, cpu, gpu, mem, fps, duration, frameCount);\n this.cpuAccums[i] = 0;\n Promise.all(this.finished).then(() => {\n this.gpuAccums[i] = 0;\n this.finished = [];\n });\n }\n this.paramFrame = this.frameId;\n this.paramTime = t;\n }\n }\n\n // chart\n if (!this.detected || !this.chartFrame) {\n this.chartFrame = this.frameId;\n this.chartTime = t;\n this.circularId = 0;\n } else {\n const timespan = t - this.chartTime;\n let hz = this.chartHz * timespan / 1e3;\n while (--hz > 0 && this.detected) {\n const frameCount = this.frameId - this.chartFrame;\n const fps = frameCount / timespan * 1e3;\n this.chart[this.circularId % this.chartLen] = fps;\n for (let i = 0; i < this.names.length; i++) this.chartLogger(i, this.chart, this.circularId);\n this.circularId++;\n this.chartFrame = this.frameId;\n this.chartTime = t;\n }\n }\n }\n\n /**\n * Begin named measurement\n * @param { string | undefined } name\n */\n begin(name) {\n this.updateAccums(name);\n }\n\n /**\n * End named measure\n * @param { string | undefined } name\n */\n end(name) {\n this.updateAccums(name);\n }\n\n updateAccums(name) {\n let nameId = this.names.indexOf(name);\n if (nameId === -1) {\n nameId = this.names.length;\n this.addUI(name);\n }\n\n const t = this.now();\n const dt = t - this.t0;\n for (let i = 0; i < nameId + 1; i++) {\n if (this.activeAccums[i]) this.cpuAccums[i] += dt;\n }\n this.activeAccums[nameId] = !this.activeAccums[nameId];\n this.t0 = t;\n }\n}\n\nexport default GLBench;\n", "// eslint-disable-next-line no-unused-vars, @typescript-eslint/no-unused-vars\n// import * as tf from '@tensorflow/tfjs';\n// import Human from '../dist/human.esm-nobundle.js';\n\nimport Human from '../dist/human.esm.js'; // equivalent of @vladmandic/human\n\nimport draw from './draw.js';\nimport Menu from './menu.js';\nimport GLBench from './gl-bench.js';\n\nconst userConfig = {}; // add any user configuration overrides\n\n/*\nconst userConfig = {\n backend: 'wasm',\n async: false,\n videoOptimized: false,\n face: { enabled: true, iris: { enabled: false }, mesh: { enabled: true }, age: { enabled: true }, gender: { enabled: true }, emotion: { enabled: true }, embedding: { enabled: true } },\n body: { enabled: false },\n hand: { enabled: false },\n};\n*/\n\nconst human = new Human(userConfig);\n\n// ui options\nconst ui = {\n baseColor: 'rgba(173, 216, 230, 0.3)', // 'lightblue' with light alpha channel\n baseBackground: 'rgba(50, 50, 50, 1)', // 'grey'\n baseLabel: 'rgba(173, 216, 230, 1)', // 'lightblue' with dark alpha channel\n baseFontProto: 'small-caps {size} \"Segoe UI\"',\n baseLineWidth: 12,\n crop: true,\n columns: 2,\n busy: false,\n facing: true,\n useWorker: false,\n worker: 'worker.js',\n samples: ['../assets/sample6.jpg', '../assets/sample1.jpg', '../assets/sample4.jpg', '../assets/sample5.jpg', '../assets/sample3.jpg', '../assets/sample2.jpg'],\n compare: '../assets/sample-me.jpg',\n drawBoxes: true,\n drawPoints: false,\n drawPolygons: true,\n fillPolygons: false,\n useDepth: true,\n console: true,\n maxFPSframes: 10,\n modelsPreload: true,\n menuWidth: 0,\n menuHeight: 0,\n camera: {},\n detectFPS: [],\n drawFPS: [],\n buffered: false,\n drawThread: null,\n detectThread: null,\n framesDraw: 0,\n framesDetect: 0,\n bench: false,\n};\n\n// global variables\nconst menu = {};\nlet worker;\nlet bench;\nlet lastDetectedResult = {};\n\n// helper function: translates json to human readable string\nfunction str(...msg) {\n if (!Array.isArray(msg)) return msg;\n let line = '';\n for (const entry of msg) {\n if (typeof entry === 'object') line += JSON.stringify(entry).replace(/{|}|\"|\\[|\\]/g, '').replace(/,/g, ', ');\n else line += entry;\n }\n return line;\n}\n\n// helper function: wrapper around console output\nfunction log(...msg) {\n const dt = new Date();\n const ts = `${dt.getHours().toString().padStart(2, '0')}:${dt.getMinutes().toString().padStart(2, '0')}:${dt.getSeconds().toString().padStart(2, '0')}.${dt.getMilliseconds().toString().padStart(3, '0')}`;\n // eslint-disable-next-line no-console\n if (ui.console) console.log(ts, ...msg);\n}\n\nfunction status(msg) {\n // eslint-disable-next-line no-console\n document.getElementById('status').innerText = msg;\n}\n\nlet original;\nasync function calcSimmilariry(result) {\n document.getElementById('compare-container').style.display = human.config.face.embedding.enabled ? 'block' : 'none';\n if (!human.config.face.embedding.enabled) return;\n if ((result?.face?.length > 0) && (result?.face[0].embedding?.length !== 192)) return;\n if (!original) {\n original = result;\n document.getElementById('compare-canvas').getContext('2d').drawImage(original.canvas, 0, 0, 200, 200);\n }\n const simmilarity = human.simmilarity(original?.face[0]?.embedding, result?.face[0]?.embedding);\n document.getElementById('simmilarity').innerText = `simmilarity: ${Math.trunc(1000 * simmilarity) / 10}%`;\n}\n\n// draws processed results and starts processing of a next frame\nlet lastDraw = performance.now();\nasync function drawResults(input) {\n const result = lastDetectedResult;\n const canvas = document.getElementById('canvas');\n\n // update draw fps data\n ui.drawFPS.push(1000 / (performance.now() - lastDraw));\n if (ui.drawFPS.length > ui.maxFPSframes) ui.drawFPS.shift();\n lastDraw = performance.now();\n\n // enable for continous performance monitoring\n // console.log(result.performance);\n\n // draw fps chart\n await menu.process.updateChart('FPS', ui.detectFPS);\n\n // get updated canvas\n if (ui.buffered || !result.canvas) result.canvas = await human.image(input, userConfig);\n\n // draw image from video\n const ctx = canvas.getContext('2d');\n ctx.fillStyle = ui.baseBackground;\n ctx.fillRect(0, 0, canvas.width, canvas.height);\n if (result.canvas) {\n if (result.canvas.width !== canvas.width) canvas.width = result.canvas.width;\n if (result.canvas.height !== canvas.height) canvas.height = result.canvas.height;\n ctx.drawImage(result.canvas, 0, 0, result.canvas.width, result.canvas.height, 0, 0, result.canvas.width, result.canvas.height);\n } else {\n ctx.drawImage(input, 0, 0, input.width, input.height, 0, 0, canvas.width, canvas.height);\n }\n\n // draw all results\n await draw.face(result.face, canvas, ui, human.facemesh.triangulation);\n await draw.body(result.body, canvas, ui);\n await draw.hand(result.hand, canvas, ui);\n await draw.gesture(result.gesture, canvas, ui);\n await calcSimmilariry(result);\n\n // update log\n const engine = human.tf.engine();\n const gpu = engine.backendInstance ? `gpu: ${(engine.backendInstance.numBytesInGPU ? engine.backendInstance.numBytesInGPU : 0).toLocaleString()} bytes` : '';\n const memory = `system: ${engine.state.numBytes.toLocaleString()} bytes ${gpu} | tensors: ${engine.state.numTensors.toLocaleString()}`;\n const processing = result.canvas ? `processing: ${result.canvas.width} x ${result.canvas.height}` : '';\n const avgDetect = Math.trunc(10 * ui.detectFPS.reduce((a, b) => a + b, 0) / ui.detectFPS.length) / 10;\n const avgDraw = Math.trunc(10 * ui.drawFPS.reduce((a, b) => a + b, 0) / ui.drawFPS.length) / 10;\n const warning = (ui.detectFPS.length > 5) && (avgDetect < 5) ? 'warning: your performance is low: try switching to higher performance backend, lowering resolution or disabling some models' : '';\n document.getElementById('log').innerHTML = `\n video: ${ui.camera.name} | facing: ${ui.camera.facing} | screen: ${window.innerWidth} x ${window.innerHeight} camera: ${ui.camera.width} x ${ui.camera.height} ${processing}
\n backend: ${human.tf.getBackend()} | ${memory}
\n performance: ${str(result.performance)}ms FPS process:${avgDetect} refresh:${avgDraw}
\n ${warning}
\n `;\n\n ui.framesDraw++;\n ui.lastFrame = performance.now();\n // if buffered, immediate loop but limit frame rate although it's going to run slower as JS is singlethreaded\n if (ui.buffered) {\n ui.drawThread = requestAnimationFrame(() => drawResults(input, canvas));\n } else if (!ui.buffered && ui.drawThread) {\n log('stopping buffered refresh');\n cancelAnimationFrame(ui.drawThread);\n ui.drawThread = null;\n }\n}\n\n// setup webcam\nasync function setupCamera() {\n if (ui.busy) return null;\n ui.busy = true;\n const video = document.getElementById('video');\n const canvas = document.getElementById('canvas');\n const output = document.getElementById('log');\n const live = video.srcObject ? ((video.srcObject.getVideoTracks()[0].readyState === 'live') && (video.readyState > 2) && (!video.paused)) : false;\n let msg = '';\n status('setting up camera');\n // setup webcam. note that navigator.mediaDevices requires that page is accessed via https\n if (!navigator.mediaDevices) {\n msg = 'camera access not supported';\n output.innerText += `\\n${msg}`;\n log(msg);\n status(msg);\n ui.busy = false;\n return msg;\n }\n let stream;\n const constraints = {\n audio: false,\n video: { facingMode: ui.facing ? 'user' : 'environment', resizeMode: ui.crop ? 'crop-and-scale' : 'none' },\n };\n if (window.innerWidth > window.innerHeight) constraints.video.width = { ideal: window.innerWidth };\n else constraints.video.height = { ideal: (window.innerHeight - document.getElementById('menubar').offsetHeight) };\n try {\n stream = await navigator.mediaDevices.getUserMedia(constraints);\n } catch (err) {\n if (err.name === 'PermissionDeniedError' || err.name === 'NotAllowedError') msg = 'camera permission denied';\n else if (err.name === 'SourceUnavailableError') msg = 'camera not available';\n else msg = `camera error: ${err.message || err}`;\n output.innerText += `\\n${msg}`;\n status(msg);\n log('camera error:', err);\n ui.busy = false;\n return msg;\n }\n if (stream) video.srcObject = stream;\n else {\n ui.busy = false;\n return 'camera stream empty';\n }\n const track = stream.getVideoTracks()[0];\n const settings = track.getSettings();\n // log('camera constraints:', constraints, 'window:', { width: window.innerWidth, height: window.innerHeight }, 'settings:', settings, 'track:', track);\n ui.camera = { name: track.label?.toLowerCase(), width: settings.width, height: settings.height, facing: settings.facingMode === 'user' ? 'front' : 'back' };\n return new Promise((resolve) => {\n video.onloadeddata = async () => {\n video.width = video.videoWidth;\n video.height = video.videoHeight;\n canvas.width = video.width;\n canvas.height = video.height;\n canvas.style.width = canvas.width > canvas.height ? '100vw' : '';\n canvas.style.height = canvas.width > canvas.height ? '' : '100vh';\n ui.menuWidth.input.setAttribute('value', video.width);\n ui.menuHeight.input.setAttribute('value', video.height);\n // silly font resizing for paint-on-canvas since viewport can be zoomed\n const size = Math.trunc(window.devicePixelRatio * (8 + (4 * canvas.width / window.innerWidth)));\n ui.baseFont = ui.baseFontProto.replace(/{size}/, `${size}px`);\n ui.baseLineHeight = size + 2;\n if (live) video.play();\n // eslint-disable-next-line no-use-before-define\n if (live && !ui.detectThread) runHumanDetect(video, canvas);\n ui.busy = false;\n // do once more because onresize events can be delayed or skipped\n // if (video.width > window.innerWidth) await setupCamera();\n status('');\n resolve();\n };\n });\n}\n\nfunction initPerfMonitor() {\n if (!bench) {\n const gl = null;\n // cosnt gl = human.tf.engine().backend.gpgpu.gl;\n // if (!gl) log('bench cannot get tensorflow webgl context');\n bench = new GLBench(gl, {\n trackGPU: false, // this is really slow\n chartHz: 20,\n chartLen: 20,\n });\n bench.begin();\n }\n}\n\n// wrapper for worker.postmessage that creates worker if one does not exist\nfunction webWorker(input, image, canvas, timestamp) {\n if (!worker) {\n // create new webworker and add event handler only once\n log('creating worker thread');\n worker = new Worker(ui.worker, { type: 'module' });\n // after receiving message from webworker, parse&draw results and send new frame for processing\n worker.addEventListener('message', (msg) => {\n if (msg.data.result.performance && msg.data.result.performance.total) ui.detectFPS.push(1000 / msg.data.result.performance.total);\n if (ui.detectFPS.length > ui.maxFPSframes) ui.detectFPS.shift();\n if (ui.bench) {\n if (!bench) initPerfMonitor();\n bench.nextFrame(timestamp);\n }\n if (document.getElementById('gl-bench')) document.getElementById('gl-bench').style.display = ui.bench ? 'block' : 'none';\n lastDetectedResult = msg.data.result;\n ui.framesDetect++;\n if (!ui.drawThread) drawResults(input);\n // eslint-disable-next-line no-use-before-define\n ui.detectThread = requestAnimationFrame((now) => runHumanDetect(input, canvas, now));\n });\n }\n // pass image data as arraybuffer to worker by reference to avoid copy\n worker.postMessage({ image: image.data.buffer, width: canvas.width, height: canvas.height, userConfig }, [image.data.buffer]);\n}\n\n// main processing function when input is webcam, can use direct invocation or web worker\nfunction runHumanDetect(input, canvas, timestamp) {\n // if live video\n const live = input.srcObject && (input.srcObject.getVideoTracks()[0].readyState === 'live') && (input.readyState > 2) && (!input.paused);\n if (!live && input.srcObject) {\n // stop ui refresh\n if (ui.drawThread) cancelAnimationFrame(ui.drawThread);\n if (ui.detectThread) cancelAnimationFrame(ui.detectThread);\n ui.drawThread = null;\n ui.detectThread = null;\n // if we want to continue and camera not ready, retry in 0.5sec, else just give up\n if (input.paused) log('camera paused');\n else if ((input.srcObject.getVideoTracks()[0].readyState === 'live') && (input.readyState <= 2)) setTimeout(() => runHumanDetect(input, canvas), 500);\n else log(`camera not ready: track state: ${input.srcObject?.getVideoTracks()[0].readyState} stream state: ${input.readyState}`);\n clearTimeout(ui.drawThread);\n ui.drawThread = null;\n log('frame statistics: process:', ui.framesDetect, 'refresh:', ui.framesDraw);\n log('memory', human.tf.engine().memory());\n return;\n }\n status('');\n if (ui.useWorker) {\n // get image data from video as we cannot send html objects to webworker\n const offscreen = (typeof OffscreenCanvas !== 'undefined') ? new OffscreenCanvas(canvas.width, canvas.height) : document.createElement('canvas');\n offscreen.width = canvas.width;\n offscreen.height = canvas.height;\n const ctx = offscreen.getContext('2d');\n ctx.drawImage(input, 0, 0, input.width, input.height, 0, 0, canvas.width, canvas.height);\n const data = ctx.getImageData(0, 0, canvas.width, canvas.height);\n // perform detection in worker\n webWorker(input, data, canvas, userConfig, timestamp);\n } else {\n human.detect(input, userConfig).then((result) => {\n if (result.performance && result.performance.total) ui.detectFPS.push(1000 / result.performance.total);\n if (ui.detectFPS.length > ui.maxFPSframes) ui.detectFPS.shift();\n if (ui.bench) {\n if (!bench) initPerfMonitor();\n bench.nextFrame(timestamp);\n }\n if (document.getElementById('gl-bench')) document.getElementById('gl-bench').style.display = ui.bench ? 'block' : 'none';\n if (result.error) {\n log(result.error);\n document.getElementById('log').innerText += `\\nHuman error: ${result.error}`;\n } else {\n lastDetectedResult = result;\n if (!ui.drawThread) drawResults(input);\n ui.framesDetect++;\n ui.detectThread = requestAnimationFrame((now) => runHumanDetect(input, canvas, now));\n }\n });\n }\n}\n\n// main processing function when input is image, can use direct invocation or web worker\nasync function processImage(input) {\n return new Promise((resolve) => {\n const image = new Image();\n image.onload = async () => {\n log('Processing image:', image.src);\n const canvas = document.getElementById('canvas');\n image.width = image.naturalWidth;\n image.height = image.naturalHeight;\n canvas.width = human.config.filter.width && human.config.filter.width > 0 ? human.config.filter.width : image.naturalWidth;\n canvas.height = human.config.filter.height && human.config.filter.height > 0 ? human.config.filter.height : image.naturalHeight;\n const result = await human.detect(image, userConfig);\n lastDetectedResult = result;\n await drawResults(image);\n const thumb = document.createElement('canvas');\n thumb.className = 'thumbnail';\n thumb.width = window.innerWidth / (ui.columns + 0.1);\n thumb.height = canvas.height / (window.innerWidth / thumb.width);\n const ctx = thumb.getContext('2d');\n ctx.drawImage(canvas, 0, 0, canvas.width, canvas.height, 0, 0, thumb.width, thumb.height);\n document.getElementById('samples-container').appendChild(thumb);\n image.src = '';\n resolve(true);\n };\n image.src = input;\n });\n}\n\n// just initialize everything and call main function\nasync function detectVideo() {\n userConfig.videoOptimized = true;\n document.getElementById('samples-container').style.display = 'none';\n document.getElementById('canvas').style.display = 'block';\n const video = document.getElementById('video');\n const canvas = document.getElementById('canvas');\n if ((video.srcObject !== null) && !video.paused) {\n document.getElementById('play').style.display = 'block';\n document.getElementById('btnStart').className = 'button button-start';\n document.getElementById('btnStart').innerHTML = 'start
video';\n status('paused');\n video.pause();\n } else {\n const cameraError = await setupCamera();\n if (!cameraError) {\n document.getElementById('play').style.display = 'none';\n for (const m of Object.values(menu)) m.hide();\n status('');\n document.getElementById('btnStart').className = 'button button-stop';\n document.getElementById('btnStart').innerHTML = 'pause
video';\n await video.play();\n if (!ui.detectThread) runHumanDetect(video, canvas);\n } else {\n status(cameraError);\n }\n }\n}\n\n// just initialize everything and call main function\nasync function detectSampleImages() {\n document.getElementById('play').style.display = 'none';\n userConfig.videoOptimized = false;\n const size = Math.trunc(window.devicePixelRatio * (8 + (4 * ui.columns)));\n ui.baseFont = ui.baseFontProto.replace(/{size}/, `${size}px`);\n ui.baseLineHeight = size + 2;\n document.getElementById('canvas').style.display = 'none';\n document.getElementById('samples-container').style.display = 'block';\n log('Running detection of sample images');\n status('processing images');\n document.getElementById('samples-container').innerHTML = '';\n for (const image of ui.samples) await processImage(image);\n status('');\n}\n\nfunction setupMenu() {\n let x = [];\n if (window.innerWidth > 800) {\n // initial position of menu items, later it's calculated based on mouse coordinates\n x = [`${document.getElementById('btnDisplay').offsetLeft - 50}px`, `${document.getElementById('btnImage').offsetLeft - 50}px`, `${document.getElementById('btnProcess').offsetLeft - 50}px`, `${document.getElementById('btnModel').offsetLeft - 50}px`];\n } else {\n // absolute minimum spacing for menus\n x = ['0rem', '11rem', '21.1rem', '33rem'];\n }\n\n menu.display = new Menu(document.body, '', { top: `${document.getElementById('menubar').offsetHeight}px`, left: x[0] });\n menu.display.addBool('perf monitor', ui, 'bench', (val) => ui.bench = val);\n menu.display.addBool('buffered output', ui, 'buffered', (val) => ui.buffered = val);\n menu.display.addBool('crop & scale', ui, 'crop', (val) => {\n ui.crop = val;\n setupCamera();\n });\n menu.display.addBool('camera facing', ui, 'facing', (val) => {\n ui.facing = val;\n setupCamera();\n });\n menu.display.addHTML('
');\n menu.display.addBool('use 3D depth', ui, 'useDepth');\n menu.display.addBool('draw boxes', ui, 'drawBoxes');\n menu.display.addBool('draw polygons', ui, 'drawPolygons');\n menu.display.addBool('Fill Polygons', ui, 'fillPolygons');\n menu.display.addBool('draw points', ui, 'drawPoints');\n\n menu.image = new Menu(document.body, '', { top: `${document.getElementById('menubar').offsetHeight}px`, left: x[1] });\n menu.image.addBool('enabled', human.config.filter, 'enabled', (val) => human.config.filter.enabled = val);\n ui.menuWidth = menu.image.addRange('image width', human.config.filter, 'width', 0, 3840, 10, (val) => human.config.filter.width = parseInt(val));\n ui.menuHeight = menu.image.addRange('image height', human.config.filter, 'height', 0, 2160, 10, (val) => human.config.filter.height = parseInt(val));\n menu.image.addHTML('
');\n menu.image.addRange('brightness', human.config.filter, 'brightness', -1.0, 1.0, 0.05, (val) => human.config.filter.brightness = parseFloat(val));\n menu.image.addRange('contrast', human.config.filter, 'contrast', -1.0, 1.0, 0.05, (val) => human.config.filter.contrast = parseFloat(val));\n menu.image.addRange('sharpness', human.config.filter, 'sharpness', 0, 1.0, 0.05, (val) => human.config.filter.sharpness = parseFloat(val));\n menu.image.addRange('blur', human.config.filter, 'blur', 0, 20, 1, (val) => human.config.filter.blur = parseInt(val));\n menu.image.addRange('saturation', human.config.filter, 'saturation', -1.0, 1.0, 0.05, (val) => human.config.filter.saturation = parseFloat(val));\n menu.image.addRange('hue', human.config.filter, 'hue', 0, 360, 5, (val) => human.config.filter.hue = parseInt(val));\n menu.image.addRange('pixelate', human.config.filter, 'pixelate', 0, 32, 1, (val) => human.config.filter.pixelate = parseInt(val));\n menu.image.addHTML('
');\n menu.image.addBool('negative', human.config.filter, 'negative', (val) => human.config.filter.negative = val);\n menu.image.addBool('sepia', human.config.filter, 'sepia', (val) => human.config.filter.sepia = val);\n menu.image.addBool('vintage', human.config.filter, 'vintage', (val) => human.config.filter.vintage = val);\n menu.image.addBool('kodachrome', human.config.filter, 'kodachrome', (val) => human.config.filter.kodachrome = val);\n menu.image.addBool('technicolor', human.config.filter, 'technicolor', (val) => human.config.filter.technicolor = val);\n menu.image.addBool('polaroid', human.config.filter, 'polaroid', (val) => human.config.filter.polaroid = val);\n\n menu.process = new Menu(document.body, '', { top: `${document.getElementById('menubar').offsetHeight}px`, left: x[2] });\n menu.process.addList('backend', ['cpu', 'webgl', 'wasm', 'humangl'], human.config.backend, (val) => human.config.backend = val);\n menu.process.addBool('async operations', human.config, 'async', (val) => human.config.async = val);\n menu.process.addBool('enable profiler', human.config, 'profile', (val) => human.config.profile = val);\n menu.process.addBool('memory shield', human.config, 'deallocate', (val) => human.config.deallocate = val);\n menu.process.addBool('use web worker', ui, 'useWorker');\n menu.process.addHTML('
');\n menu.process.addLabel('model parameters');\n menu.process.addRange('max objects', human.config.face.detector, 'maxFaces', 1, 50, 1, (val) => {\n human.config.face.detector.maxFaces = parseInt(val);\n human.config.body.maxDetections = parseInt(val);\n human.config.hand.maxHands = parseInt(val);\n });\n menu.process.addRange('skip frames', human.config.face.detector, 'skipFrames', 0, 50, 1, (val) => {\n human.config.face.detector.skipFrames = parseInt(val);\n human.config.face.emotion.skipFrames = parseInt(val);\n human.config.face.age.skipFrames = parseInt(val);\n human.config.hand.skipFrames = parseInt(val);\n });\n menu.process.addRange('min confidence', human.config.face.detector, 'minConfidence', 0.0, 1.0, 0.05, (val) => {\n human.config.face.detector.minConfidence = parseFloat(val);\n human.config.face.gender.minConfidence = parseFloat(val);\n human.config.face.emotion.minConfidence = parseFloat(val);\n human.config.hand.minConfidence = parseFloat(val);\n });\n menu.process.addRange('score threshold', human.config.face.detector, 'scoreThreshold', 0.1, 1.0, 0.05, (val) => {\n human.config.face.detector.scoreThreshold = parseFloat(val);\n human.config.hand.scoreThreshold = parseFloat(val);\n human.config.body.scoreThreshold = parseFloat(val);\n });\n menu.process.addRange('overlap', human.config.face.detector, 'iouThreshold', 0.1, 1.0, 0.05, (val) => {\n human.config.face.detector.iouThreshold = parseFloat(val);\n human.config.hand.iouThreshold = parseFloat(val);\n });\n menu.process.addBool('detection rotation', human.config.face.detector, 'rotation', (val) => {\n human.config.face.detector.rotation = val;\n human.config.hand.rotation = val;\n });\n menu.process.addHTML('
');\n menu.process.addButton('process sample images', 'process images', () => detectSampleImages());\n menu.process.addHTML('
');\n menu.process.addChart('FPS', 'FPS');\n\n menu.models = new Menu(document.body, '', { top: `${document.getElementById('menubar').offsetHeight}px`, left: x[3] });\n menu.models.addBool('face detect', human.config.face, 'enabled', (val) => human.config.face.enabled = val);\n menu.models.addBool('face mesh', human.config.face.mesh, 'enabled', (val) => human.config.face.mesh.enabled = val);\n menu.models.addBool('face iris', human.config.face.iris, 'enabled', (val) => human.config.face.iris.enabled = val);\n menu.models.addBool('face age', human.config.face.age, 'enabled', (val) => human.config.face.age.enabled = val);\n menu.models.addBool('face gender', human.config.face.gender, 'enabled', (val) => human.config.face.gender.enabled = val);\n menu.models.addBool('face emotion', human.config.face.emotion, 'enabled', (val) => human.config.face.emotion.enabled = val);\n menu.models.addHTML('
');\n menu.models.addBool('body pose', human.config.body, 'enabled', (val) => human.config.body.enabled = val);\n menu.models.addBool('hand pose', human.config.hand, 'enabled', (val) => human.config.hand.enabled = val);\n menu.models.addHTML('
');\n menu.models.addBool('gestures', human.config.gesture, 'enabled', (val) => human.config.gesture.enabled = val);\n menu.models.addHTML('
');\n menu.models.addBool('face compare', human.config.face.embedding, 'enabled', (val) => {\n human.config.face.embedding.enabled = val;\n original = null;\n });\n\n document.getElementById('btnDisplay').addEventListener('click', (evt) => menu.display.toggle(evt));\n document.getElementById('btnImage').addEventListener('click', (evt) => menu.image.toggle(evt));\n document.getElementById('btnProcess').addEventListener('click', (evt) => menu.process.toggle(evt));\n document.getElementById('btnModel').addEventListener('click', (evt) => menu.models.toggle(evt));\n document.getElementById('btnStart').addEventListener('click', () => detectVideo());\n document.getElementById('play').addEventListener('click', () => detectVideo());\n}\n\nasync function main() {\n log('Demo starting ...');\n log('Browser:', navigator?.userAgent);\n setupMenu();\n document.getElementById('log').innerText = `Human: version ${human.version}`;\n if (ui.modelsPreload && !ui.useWorker) {\n status('loading');\n await human.load(userConfig); // this is not required, just pre-loads all models\n }\n if (!ui.useWorker) {\n status('initializing');\n await human.warmup(userConfig); // this is not required, just pre-warms all models for faster initial inference\n }\n status('human: ready');\n document.getElementById('loader').style.display = 'none';\n document.getElementById('play').style.display = 'block';\n log('Demo ready...');\n}\n\nwindow.onload = main;\nwindow.onresize = setupCamera;\n"], + "mappings": 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"names": [] } diff --git a/dist/demo-browser-index.json b/dist/demo-browser-index.json index ea799b80..e45fd815 100644 --- a/dist/demo-browser-index.json +++ b/dist/demo-browser-index.json @@ -1,7 +1,7 @@ { "inputs": { "dist/human.esm.js": { - "bytes": 1347222, + "bytes": 1347291, "imports": [] }, "demo/draw.js": { @@ -17,7 +17,7 @@ "imports": [] }, "demo/browser.js": { - "bytes": 26690, + "bytes": 26720, "imports": [ { "path": "dist/human.esm.js", @@ -43,14 +43,14 @@ "imports": [], "exports": [], "inputs": {}, - "bytes": 2021862 + "bytes": 2022083 }, "dist/demo-browser-index.js": { "imports": [], "exports": [], "inputs": { "dist/human.esm.js": { - "bytesInOutput": 1339746 + "bytesInOutput": 1339815 }, "demo/draw.js": { "bytesInOutput": 6204 @@ -65,7 +65,7 @@ "bytesInOutput": 17340 } }, - "bytes": 1388130 + "bytes": 1388199 } } } diff --git a/dist/human.esm-nobundle.js b/dist/human.esm-nobundle.js index 2cd4caf5..f68db38e 100644 --- a/dist/human.esm-nobundle.js +++ 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Yt=["nose","leftEye","rightEye","leftEar","rightEar","leftShoulder","rightShoulder","leftElbow","rightElbow","leftWrist","rightWrist","leftHip","rightHip","leftKnee","rightKnee","leftAnkle","rightAnkle"],Bt=s1.partNames.length,y1=s1.partNames.reduce((t,e,n)=>(t[e]=n,t),{}),Jt=[["leftHip","leftShoulder"],["leftElbow","leftShoulder"],["leftElbow","leftWrist"],["leftHip","leftKnee"],["leftKnee","leftAnkle"],["rightHip","rightShoulder"],["rightElbow","rightShoulder"],["rightElbow","rightWrist"],["rightHip","rightKnee"],["rightKnee","rightAnkle"],["leftShoulder","rightShoulder"],["leftHip","rightHip"]],Ut=Jt.map(([t,e])=>[y1[t],y1[e]]),Kt=[["nose","leftEye"],["leftEye","leftEar"],["nose","rightEye"],["rightEye","rightEar"],["nose","leftShoulder"],["leftShoulder","leftElbow"],["leftElbow","leftWrist"],["leftShoulder","leftHip"],["leftHip","leftKnee"],["leftKnee","leftAnkle"],["nose","rightShoulder"],["rightShoulder","rightElbow"],["rightElbow","rightWrist"],["rightShoulder","rightHip"],["rightHip","rightKnee"],["rightKnee","rightAnkle"]],Dt=["left_face","right_face","right_upper_leg_front","right_lower_leg_back","right_upper_leg_back","left_lower_leg_front","left_upper_leg_front","left_upper_leg_back","left_lower_leg_back","right_feet","right_lower_leg_front","left_feet","torso_front","torso_back","right_upper_arm_front","right_upper_arm_back","right_lower_arm_back","left_lower_arm_front","left_upper_arm_front","left_upper_arm_back","left_lower_arm_back","right_hand","right_lower_arm_front","left_hand"]});function u(...t){let e=new Date,n=`${e.getHours().toString().padStart(2,"0")}:${e.getMinutes().toString().padStart(2,"0")}:${e.getSeconds().toString().padStart(2,"0")}.${e.getMilliseconds().toString().padStart(3,"0")}`;t&&console.log(n,"Human:",...t)}var D0=P(M());var S=P(M()),Z={name:"humangl",priority:99,canvas:null,gl:null,width:1024,height:1024,webGLattr:{alpha:!1,antialias:!1,premultipliedAlpha:!1,preserveDrawingBuffer:!1,depth:!1,stencil:!1,failIfMajorPerformanceCaveat:!1,desynchronized:!0}};function I1(){if(!S.findBackend(Z.name)){u("backend registration:",Z.name);try{Z.canvas=typeof OffscreenCanvas!="undefined"?new OffscreenCanvas(Z.width,Z.height):document.createElement("canvas")}catch(t){u("error: cannot create canvas:",t);return}try{Z.gl=Z.canvas.getContext("webgl2",Z.webGLattr)}catch(t){u("error: cannot get WebGL2 context:",t);return}try{S.setWebGLContext(2,Z.gl)}catch(t){u("error: cannot set WebGL2 context:",t);return}try{let t=new S.GPGPUContext(Z.gl);S.registerBackend(Z.name,()=>new S.MathBackendWebGL(t),Z.priority)}catch(t){u("error: cannot register WebGL backend:",t);return}try{S.getKernelsForBackend("webgl").forEach(e=>{let n={...e,backendName:Z.name};S.registerKernel(n)})}catch(t){u("error: cannot update WebGL backend registration:",t);return}try{S.ENV.set("WEBGL_VERSION",2),S.ENV.set("WEBGL_MAX_TEXTURE_SIZE",Z.gl.getParameter(Z.gl.MAX_TEXTURE_SIZE)),S.ENV.set("WEBGL_FORCE_F16_TEXTURES",!0),S.ENV.set("WEBGL_PACK_DEPTHWISECONV",!0)}catch(t){u("error: cannot set WebGL backend flags:",t);return}u("backend registered:",Z.name)}}var b=P(M()),Z1=6;function ut(t){let e={strides:[t/16,t/8],anchors:[2,6]},n=[];for(let r=0;r({startEndTensor:t,startPoint:b.slice(t,[0,0],[-1,2]),endPoint:b.slice(t,[0,2],[-1,2])});function gt(t,e,n){let r=b.slice(t,[0,1],[-1,2]),A=b.add(r,e),c=b.slice(t,[0,3],[-1,2]),_=b.div(c,n),h=b.div(A,n),x=b.div(_,2),i=b.sub(h,x),a=b.add(h,x),y=b.mul(i,n),w=b.mul(a,n);return b.concat2d([y,w],1)}var V1=class{constructor(e,n){this.blazeFaceModel=e,this.width=n.face.detector.inputSize,this.height=n.face.detector.inputSize,this.anchorsData=ut(n.face.detector.inputSize),this.anchors=b.tensor2d(this.anchorsData),this.inputSize=b.tensor1d([this.width,this.height]),this.config=n,this.scaleFaces=.8}async getBoundingBoxes(e){if(!e||e.isDisposedInternal||e.shape.length!==4||e.shape[1]<1||e.shape[2]<1)return null;let[n,r,A]=b.tidy(()=>{let y=e.resizeBilinear([this.width,this.height]),w=b.sub(y.div(127.5),1),l=this.blazeFaceModel.predict(w),f;if(Array.isArray(l)){let k=l.sort((d,p)=>d.size-p.size),X=b.concat([k[0],k[2]],2),q=b.concat([k[1],k[3]],2);f=b.concat([q,X],1).squeeze(0)}else f=l.squeeze();let s=gt(f,this.anchors,this.inputSize),I=b.slice(f,[0,0],[-1,1]),V=b.sigmoid(I).squeeze();return[f,s,V]}),c=await b.image.nonMaxSuppressionAsync(r,A,this.config.face.detector.maxFaces,this.config.face.detector.iouThreshold,this.config.face.detector.scoreThreshold),_=c.arraySync();c.dispose();let x=_.map(y=>b.slice(r,[y,0],[1,-1])).map(y=>{let w=y.arraySync();return y.dispose(),w}),i=A.dataSync(),a=[];for(let y=0;ythis.config.face.detector.minConfidence){let f=bt(x[y]),s=this.anchorsData[w],I=b.tidy(()=>b.slice(n,[w,Z1-1],[1,-1]).squeeze().reshape([Z1,-1]));a.push({box:f,landmarks:I,anchor:s,confidence:l})}}return n.dispose(),r.dispose(),A.dispose(),n.dispose(),{boxes:a,scaleFactor:[e.shape[2]/this.width,e.shape[1]/this.height]}}};async function k1(t){let e=await b.loadGraphModel(t.face.detector.modelPath,{fromTFHub:t.face.detector.modelPath.includes("tfhub.dev")}),n=new V1(e,t);return u(`load model: ${t.face.detector.modelPath.match(/\/(.*)\./)[1]}`),n}var F=P(M());var X1=P(M());function L1(t,e){let n=[t.startPoint[0]*e[0],t.startPoint[1]*e[1]],r=[t.endPoint[0]*e[0],t.endPoint[1]*e[1]];return{startPoint:n,endPoint:r}}function ce(t){return[Math.abs(t.endPoint[0]-t.startPoint[0]),Math.abs(t.endPoint[1]-t.startPoint[1])]}function 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zt=468,Mt=13,St=[Mt,J.midwayBetweenEyes[0]],jt=3,Wt=2,Nt=[jt,Wt],Oe=J.leftEyeLower0,Ie=[Oe[0],Oe[Oe.length-1]],Ze=J.rightEyeLower0,Ve=[Ze[0],Ze[Ze.length-1]],Ot=3,It=4,Zt=71,ke=76;function de(t,e,n,r=null){for(let A=0;A[_[0]*(w[0]-this.meshWidth/2),_[1]*(w[1]-this.meshHeight/2),w[2]]),x=r!==0?je(r,[0,0]):we,i=r!==0?h.map(w=>[...B1(w,x),w[2]]):h,a=r!==0?Y1(A):we,y=[..._e({startPoint:n.startPoint,endPoint:n.endPoint}),1];return i.map(w=>[w[0]+C(y,a[0]),w[1]+C(y,a[1]),w[2]])}getLeftToRightEyeDepthDifference(e){let n=e[Ie[0]][2],r=e[Ve[0]][2];return n-r}getEyeBox(e,n,r,A,c=!1){let _=ae(ie(this.calculateLandmarksBoundingBox([e[r],e[A]]),this.irisEnlarge)),h=ce(_),x=F.image.cropAndResize(n,[[_.startPoint[1]/this.meshHeight,_.startPoint[0]/this.meshWidth,_.endPoint[1]/this.meshHeight,_.endPoint[0]/this.meshWidth]],[0],[this.irisSize,this.irisSize]);return c&&(x=F.image.flipLeftRight(x)),{box:_,boxSize:h,crop:x}}getEyeCoords(e,n,r,A=!1){let c=[];for(let _=0;_{let i=_;return 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p=_e({startPoint:_.startPoint,endPoint:_.endPoint}),T=[p[0]/e.shape[2],p[1]/e.shape[1]],R=F.image.rotateWithOffset(e,i,0,T);a=je(-i,p),x=Se({startPoint:_.startPoint,endPoint:_.endPoint},R,[this.meshHeight,this.meshWidth]).div(255)}else{a=we;let m=e.clone();x=Se({startPoint:_.startPoint,endPoint:_.endPoint},m,[this.meshHeight,this.meshWidth]).div(255)}if(!n.face.mesh.enabled)return{coords:null,box:_,faceConfidence:null,confidence:_.confidence,image:x};let[,y,w]=this.meshDetector.predict(x),l=y.dataSync()[0];if(l_!==null),this.detectedFaces=c.length,c}calculateLandmarksBoundingBox(e){let n=e.map(_=>_[0]),r=e.map(_=>_[1]),A=[Math.min(...n),Math.min(...r)],c=[Math.max(...n),Math.max(...r)];return{startPoint:A,endPoint:c,landmarks:e}}};var C0=P(K1());var Fe={};B(Fe,{FaceBoxes:()=>qe,load:()=>kt});var ee=P(M());var He={};function U(t,e){if(!e||!e.kernels)return;let n=5,r=e.kernels.filter(h=>h.kernelTimeMs>0).reduce((h,x)=>h+=x.kernelTimeMs,0),A=e.kernels.map((h,x)=>(h.id=x,h)).filter(h=>h.kernelTimeMs>0).sort((h,x)=>x.kernelTimeMs-h.kernelTimeMs),c=e.kernels.map((h,x)=>(h.id=x,h)).filter(h=>h.totalBytesSnapshot>0).sort((h,x)=>x.totalBytesSnapshot-h.totalBytesSnapshot);A.length>n&&(A.length=n),c.length>n&&(c.length=n);let _={newBytes:e.newBytes,newTensors:e.newTensors,peakBytes:e.peakBytes,numKernelOps:e.kernels.length,timeKernelOps:r,slowestKernelOps:A,largestKernelOps:c};He[t]=_,u("Human profiler",t,_)}var qe=class{constructor(e,n){this.enlarge=1.1,this.model=e,this.config=n}async estimateFaces(e,n){n&&(this.config=n);let r=[],A=ee.image.resizeBilinear(e,[this.config.face.detector.inputSize,this.config.face.detector.inputSize]),c=A.toInt(),_,h;if(n.profile){let x=await ee.profile(()=>this.model.executeAsync(c));_=x.result[0].dataSync(),h=x.result[1].squeeze().arraySync(),x.result.forEach(a=>a.dispose()),U("faceboxes",x)}else{let[x,i,a]=await 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te,Ke={gender:""},me=Number.MAX_SAFE_INTEGER,De=!1,Ce=[.2989,.587,.114];async function Ge(t){return te||(te=await j.loadGraphModel(t.face.gender.modelPath),De=te.inputs[0].shape[3]===1,u(`load model: ${t.face.gender.modelPath.match(/\/(.*)\./)[1]}`)),te}async function Qe(t,e){return te?me{let r=j.image.resizeBilinear(t,[e.face.gender.inputSize,e.face.gender.inputSize],!1),A;De?A=j.tidy(()=>{let[h,x,i]=j.split(r,3,3),a=j.mul(h,Ce[0]),y=j.mul(x,Ce[1]),w=j.mul(i,Ce[2]);return j.addN([a,y,w]).sub(.5).mul(2)}):A=j.mul(r,[255]),j.dispose(r);let c,_={gender:"",confidence:0};if(!e.profile)e.face.gender.enabled&&(c=await te.predict(A));else{let h=e.face.gender.enabled?await j.profile(()=>te.predict(A)):{};c=h.result.clone(),h.result.dispose(),U("gender",h)}if(A.dispose(),c){let h=c.dataSync();if(De){let x=Math.trunc(100*Math.abs(h[0]-h[1]))/100;x>e.face.gender.minConfidence&&(_.gender=h[0]>h[1]?"female":"male",_.confidence=x)}else{let x=Math.trunc(200*Math.abs(h[0]-.5))/100;x>e.face.gender.minConfidence&&(_.gender=h[0]<=.5?"female":"male",_.confidence=Math.min(.99,x))}}c.dispose(),Ke=_,n(_)})):null}var $e={};B($e,{load:()=>n1,predict:()=>r1});var N=P(M());var Xt=["angry","disgust","fear","happy","sad","surprise","neutral"],re,e1=[],pe=Number.MAX_SAFE_INTEGER,t1=[.2989,.587,.114],D1=1;async function n1(t){return re||(re=await N.loadGraphModel(t.face.emotion.modelPath),u(`load model: ${t.face.emotion.modelPath.match(/\/(.*)\./)[1]}`)),re}async function r1(t,e){return re?pe0?(pe++,e1):(e.videoOptimized?pe=0:pe=Number.MAX_SAFE_INTEGER,new Promise(async n=>{let r=N.image.resizeBilinear(t,[e.face.emotion.inputSize,e.face.emotion.inputSize],!1),[A,c,_]=N.split(r,3,3);r.dispose();let h=N.mul(A,t1[0]),x=N.mul(c,t1[1]),i=N.mul(_,t1[2]);A.dispose(),c.dispose(),_.dispose();let a=N.addN([h,x,i]);h.dispose(),x.dispose(),i.dispose();let y=N.tidy(()=>a.sub(.5).mul(2));a.dispose();let w=[];if(e.face.emotion.enabled){let 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X=Re.reshape(V,[-1,3]),q=X.arraySync();V.dispose(),X.dispose();let m=this.transformRawCoords(q,l,x,w),d=this.getBoxForHandLandmarks(m);this.storedBoxes[_]=d;let p={landmarks:m,confidence:k,box:{topLeft:d.startPoint,bottomRight:d.endPoint}};c.push(p)}else this.storedBoxes[_]=null;V.dispose()}else{let x=ve(Pe(h),b0),i={confidence:h.confidence,box:{topLeft:x.startPoint,bottomRight:x.endPoint}};c.push(i)}}return this.storedBoxes=this.storedBoxes.filter(_=>_!==null),this.detectedHands=c.length,c}calculateLandmarksBoundingBox(e){let n=e.map(_=>_[0]),r=e.map(_=>_[1]),A=[Math.min(...n),Math.min(...r)],c=[Math.max(...n),Math.max(...r)];return{startPoint:A,endPoint:c}}};var 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u1(e,t.hand.inputSize,T0),A=new T1(r,n,t.hand.inputSize),c=new E1(A);return t.hand.enabled&&u(`load model: ${t.hand.detector.modelPath.match(/\/(.*)\./)[1]}`),t.hand.landmarks&&u(`load model: ${t.hand.skeleton.modelPath.match(/\/(.*)\./)[1]}`),c}var v0=t=>{if(!t)return[];let e=[];for(let n=0;nx.part==="leftWrist"),A=t[n].keypoints.find(x=>x.part==="rightWrist"),c=t[n].keypoints.find(x=>x.part==="nose");c&&r&&A&&r.position.yx.part==="leftShoulder"),h=t[n].keypoints.find(x=>x.part==="rightShoulder");_&&h&&e.push({body:n,gesture:`leaning ${_.position.y>h.position.y?"left":"right"}`})}return e},P0=t=>{if(!t)return[];let e=[];for(let n=0;n0){let r=t[n].mesh[35][2]-t[n].mesh[263][2];Math.abs(r)<10?e.push({face:n,gesture:"facing camera"}):e.push({face:n,gesture:`facing ${r<0?"right":"left"}`}),Math.abs(t[n].mesh[374][1]-t[n].mesh[386][1])/Math.abs(t[n].mesh[443][1]-t[n].mesh[450][1])<.2&&e.push({face:n,gesture:"blink left eye"}),Math.abs(t[n].mesh[145][1]-t[n].mesh[159][1])/Math.abs(t[n].mesh[223][1]-t[n].mesh[230][1])<.2&&e.push({face:n,gesture:"blink right eye"});let _=Math.min(100,500*Math.abs(t[n].mesh[13][1]-t[n].mesh[14][1])/Math.abs(t[n].mesh[10][1]-t[n].mesh[152][1]));_>10&&e.push({face:n,gesture:`mouth ${Math.trunc(_)}% open`});let h=t[n].mesh[152][2];Math.abs(h)>10&&e.push({face:n,gesture:`head ${h<0?"up":"down"}`})}return e},R0=t=>{if(!t)return[];let e=[];for(let n=0;n{if(!t)return[];let e=[];for(let n=0;n0){let A=r.reduce((_,h)=>_.position[2]_.position[1](i[w]=0,y))},A=function(h,x){let i=t.createShader(x);if(t.shaderSource(i,h),t.compileShader(i),!t.getShaderParameter(i,t.COMPILE_STATUS))throw new Error("Filter: GL compile failed",t.getShaderInfoLog(i));return i};this.uniform={},this.attribute={};let 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V1=class{constructor(e,n){this.blazeFaceModel=e,this.width=n.face.detector.inputSize,this.height=n.face.detector.inputSize,this.anchorsData=ut(n.face.detector.inputSize),this.anchors=b.tensor2d(this.anchorsData),this.inputSize=b.tensor1d([this.width,this.height]),this.config=n,this.scaleFaces=.8}async getBoundingBoxes(e){if(!e||e.isDisposedInternal||e.shape.length!==4||e.shape[1]<1||e.shape[2]<1)return null;let[n,r,A]=b.tidy(()=>{let y=e.resizeBilinear([this.width,this.height]),w=b.sub(y.div(127.5),1),l=this.blazeFaceModel.predict(w),f;if(Array.isArray(l)){let k=l.sort((d,p)=>d.size-p.size),X=b.concat([k[0],k[2]],2),q=b.concat([k[1],k[3]],2);f=b.concat([q,X],1).squeeze(0)}else f=l.squeeze();let s=gt(f,this.anchors,this.inputSize),I=b.slice(f,[0,0],[-1,1]),V=b.sigmoid(I).squeeze();return[f,s,V]}),c=await b.image.nonMaxSuppressionAsync(r,A,this.config.face.detector.maxFaces,this.config.face.detector.iouThreshold,this.config.face.detector.scoreThreshold),_=c.arraySync();c.dispose();let 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u1=class{constructor(e,n,r){this.model=e,this.anchors=r.map(A=>[A.x_center,A.y_center]),this.anchorsTensor=g.tensor2d(this.anchors),this.inputSizeTensor=g.tensor1d([n,n]),this.doubleInputSizeTensor=g.tensor1d([n*2,n*2])}normalizeBoxes(e){return g.tidy(()=>{let n=g.slice(e,[0,0],[-1,2]),r=g.slice(e,[0,2],[-1,2]),A=g.add(g.div(n,this.inputSizeTensor),this.anchorsTensor),c=g.div(r,this.doubleInputSizeTensor),_=g.mul(g.sub(A,c),this.inputSizeTensor),h=g.mul(g.add(A,c),this.inputSizeTensor);return g.concat2d([_,h],1)})}normalizeLandmarks(e,n){return g.tidy(()=>{let r=g.add(g.div(e.reshape([-1,7,2]),this.inputSizeTensor),this.anchors[n]);return g.mul(r,this.inputSizeTensor)})}async getBoxes(e,n){let r=this.model.predict(e),A=r.squeeze();r.dispose();let c=g.tidy(()=>g.sigmoid(g.slice(A,[0,0],[-1,1])).squeeze()),_=c.dataSync(),h=g.slice(A,[0,1],[-1,4]),x=this.normalizeBoxes(h);h.dispose();let i=await g.image.nonMaxSuppressionAsync(x,_,n.hand.maxHands,n.hand.iouThreshold,n.hand.scoreThreshold),a=i.arraySync();c.dispose(),i.dispose();let y=[];for(let w of a)if(_[w]>=n.hand.minConfidence){let l=g.slice(x,[w,0],[1,-1]),f=g.slice(A,[w,5],[1,14]),s=g.tidy(()=>this.normalizeLandmarks(f,w).reshape([-1,2]));f.dispose(),y.push({box:l,palmLandmarks:s,confidence:_[w]})}return A.dispose(),x.dispose(),y}async estimateHandBounds(e,n){let r=e.shape[1],A=e.shape[2],c=g.tidy(()=>e.resizeBilinear([n.hand.inputSize,n.hand.inputSize]).div(127.5).sub(1)),_=await this.getBoxes(c,n);c.dispose();let h=[];if(!_||_.length===0)return h;for(let x of _){let i=x.box.dataSync(),a=i.slice(0,2),y=i.slice(2,4),w=x.palmLandmarks.arraySync();x.box.dispose(),x.palmLandmarks.dispose(),h.push(l0({startPoint:a,endPoint:y,palmLandmarks:w,confidence:x.confidence},[A/n.hand.inputSize,r/n.hand.inputSize]))}return h}};var Re=P(M());function c5(t){return t-2*Math.PI*Math.floor((t+Math.PI)/(2*Math.PI))}function f0(t,e){let n=Math.PI/2-Math.atan2(-(e[1]-t[1]),e[0]-t[0]);return c5(n)}var m0=(t,e)=>[[1,0,t],[0,1,e],[0,0,1]];function Q(t,e){let n=0;for(let r=0;rg1([...c,1],n)),A=this.calculateLandmarksBoundingBox(r);return ve(Pe(A),h5)}getBoxForHandLandmarks(e){let n=this.calculateLandmarksBoundingBox(e),r=ve(Pe(n),b0);r.palmLandmarks=[];for(let A=0;A[_[0]*(l[0]-this.inputSize/2),_[1]*(l[1]-this.inputSize/2),_[2]*l[2]]),x=b1(r,[0,0]),i=h.map(l=>[...g1(l,x),l[2]]),a=u0(A),y=[...xe(n),1],w=[Q(y,a[0]),Q(y,a[1])];return i.map(l=>[l[0]+w[0],l[1]+w[1],l[2]])}async estimateHands(e,n){let r=!1,A;(this.skipped===0||this.skipped>n.hand.skipFrames||!n.hand.landmarks||!n.videoOptimized)&&(A=await this.handDetector.estimateHandBounds(e,n),this.skipped=0),n.videoOptimized&&this.skipped++,A&&A.length>0&&(A.length!==this.detectedHands&&this.detectedHands!==n.hand.maxHands||!n.hand.landmarks)&&(this.detectedHands=0,this.storedBoxes=[...A],this.storedBoxes.length>0&&(r=!0));let c=[];for(let _=0;_=n.hand.minConfidence){let X=Re.reshape(V,[-1,3]),q=X.arraySync();V.dispose(),X.dispose();let m=this.transformRawCoords(q,l,x,w),d=this.getBoxForHandLandmarks(m);this.storedBoxes[_]=d;let p={landmarks:m,confidence:k,box:{topLeft:d.startPoint,bottomRight:d.endPoint}};c.push(p)}else this.storedBoxes[_]=null;V.dispose()}else{let x=ve(Pe(h),b0),i={confidence:h.confidence,box:{topLeft:x.startPoint,bottomRight:x.endPoint}};c.push(i)}}return this.storedBoxes=this.storedBoxes.filter(_=>_!==null),this.detectedHands=c.length,c}calculateLandmarksBoundingBox(e){let n=e.map(_=>_[0]),r=e.map(_=>_[1]),A=[Math.min(...n),Math.min(...r)],c=[Math.max(...n),Math.max(...r)];return{startPoint:A,endPoint:c}}};var 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u1(e,t.hand.inputSize,T0),A=new T1(r,n,t.hand.inputSize),c=new E1(A);return t.hand.enabled&&u(`load model: ${t.hand.detector.modelPath.match(/\/(.*)\./)[1]}`),t.hand.landmarks&&u(`load model: ${t.hand.skeleton.modelPath.match(/\/(.*)\./)[1]}`),c}var v0=t=>{if(!t)return[];let e=[];for(let n=0;nx.part==="leftWrist"),A=t[n].keypoints.find(x=>x.part==="rightWrist"),c=t[n].keypoints.find(x=>x.part==="nose");c&&r&&A&&r.position.yx.part==="leftShoulder"),h=t[n].keypoints.find(x=>x.part==="rightShoulder");_&&h&&e.push({body:n,gesture:`leaning ${_.position.y>h.position.y?"left":"right"}`})}return e},P0=t=>{if(!t)return[];let e=[];for(let n=0;n0){let r=t[n].mesh[35][2]-t[n].mesh[263][2];Math.abs(r)<10?e.push({face:n,gesture:"facing camera"}):e.push({face:n,gesture:`facing ${r<0?"right":"left"}`}),Math.abs(t[n].mesh[374][1]-t[n].mesh[386][1])/Math.abs(t[n].mesh[443][1]-t[n].mesh[450][1])<.2&&e.push({face:n,gesture:"blink left eye"}),Math.abs(t[n].mesh[145][1]-t[n].mesh[159][1])/Math.abs(t[n].mesh[223][1]-t[n].mesh[230][1])<.2&&e.push({face:n,gesture:"blink right eye"});let _=Math.min(100,500*Math.abs(t[n].mesh[13][1]-t[n].mesh[14][1])/Math.abs(t[n].mesh[10][1]-t[n].mesh[152][1]));_>10&&e.push({face:n,gesture:`mouth ${Math.trunc(_)}% open`});let h=t[n].mesh[152][2];Math.abs(h)>10&&e.push({face:n,gesture:`head ${h<0?"up":"down"}`})}return e},R0=t=>{if(!t)return[];let e=[];for(let n=0;n{if(!t)return[];let e=[];for(let n=0;n0){let A=r.reduce((_,h)=>_.position[2]_.position[1](i[w]=0,y))},A=function(h,x){let i=t.createShader(x);if(t.shaderSource(i,h),t.compileShader(i),!t.getShaderParameter(i,t.COMPILE_STATUS))throw new Error("Filter: GL compile failed",t.getShaderInfoLog(i));return i};this.uniform={},this.attribute={};let 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Embedding:"),this.config.async?_=this.config.face.embedding.enabled?c1(s.image,this.config):{}:(this.state="run:embedding",n=v(),_=this.config.face.embedding.enabled?await c1(s.image,this.config):{},this.perf.embedding=Math.trunc(v()-n)),this.analyze("End Emotion:"),this.config.async&&([r,A,c,_]=await Promise.all([r,A,c,_])),this.analyze("Finish Face:"),!this.config.face.iris.enabled&&((a=s==null?void 0:s.annotations)==null?void 0:a.leftEyeIris)&&((y=s==null?void 0:s.annotations)==null?void 0:y.rightEyeIris)&&(delete s.annotations.leftEyeIris,delete s.annotations.rightEyeIris);let I=((w=s.annotations)==null?void 0:w.leftEyeIris)&&((l=s.annotations)==null?void 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Scope:"),A=v();let a=M0(e,this.config);if(!a||!a.tensor){u("could not convert input to tensor"),r({error:"could not convert input to tensor"});return}this.perf.image=Math.trunc(v()-A),this.analyze("Get Image:"),this.config.async?(x=this.config.face.enabled?this.detectFace(a.tensor):[],this.perf.face&&delete this.perf.face):(this.state="run:face",A=v(),x=this.config.face.enabled?await this.detectFace(a.tensor):[],this.perf.face=Math.trunc(v()-A)),this.analyze("Start Body:"),this.config.async?(_=this.config.body.enabled?(w=this.models.posenet)==null?void 0:w.estimatePoses(a.tensor,this.config):[],this.perf.body&&delete this.perf.body):(this.state="run:body",A=v(),_=this.config.body.enabled?await((l=this.models.posenet)==null?void 0:l.estimatePoses(a.tensor,this.config)):[],this.perf.body=Math.trunc(v()-A)),this.analyze("End Body:"),this.analyze("Start Hand:"),this.config.async?(h=this.config.hand.enabled?(f=this.models.handpose)==null?void 0:f.estimateHands(a.tensor,this.config):[],this.perf.hand&&delete this.perf.hand):(this.state="run:hand",A=v(),h=this.config.hand.enabled?await((s=this.models.handpose)==null?void 0:s.estimateHands(a.tensor,this.config)):[],this.perf.hand=Math.trunc(v()-A)),this.analyze("End Hand:"),this.config.async&&([x,_,h]=await Promise.all([x,_,h])),a.tensor.dispose(),this.config.scoped&&this.tf.engine().endScope(),this.analyze("End Scope:");let y=[];this.config.gesture.enabled&&(A=v(),y=[...P0(x),...v0(_),...E0(h),...R0(x)],this.config.async?this.perf.gesture&&delete this.perf.gesture:this.perf.gesture=Math.trunc(v()-A)),this.perf.total=Math.trunc(v()-i),this.state="idle",r({face:x,body:_,hand:h,gesture:y,performance:this.perf,canvas:a.canvas})})}async warmupBitmap(){let e=(A,c="application/octet-stream")=>fetch(`data:${c};base64,${A}`).then(_=>_.blob()),n,r;switch(this.config.warmup){case"face":n=await e(Ee);break;case"full":n=await e(ze);break;default:n=null}if(n){let A=await createImageBitmap(n);r=await this.detect(A,this.config),A.close()}return r}async warmupCanvas(){return new Promise(e=>{let n,r=0;switch(this.config.warmup){case"face":r=256,n="data:image/jpeg;base64,"+Ee;break;case"full":r=1200,n="data:image/jpeg;base64,"+ze;break;default:n=null}let A=new Image(r,r);A.onload=()=>{let c=typeof OffscreenCanvas!="undefined"?new OffscreenCanvas(r,r):document.createElement("canvas");c.width=r,c.height=r;let _=c.getContext("2d");_==null||_.drawImage(A,0,0);let h=_==null?void 0:_.getImageData(0,0,r,r);this.detect(h,this.config).then(x=>e(x))},n?A.src=n:e(null)})}async warmupNode(){let e=_=>Buffer.from(_,"base64"),n=this.config.warmup==="face"?e(Ee):e(ze),r=D0.node.decodeJpeg(n),A=r.expandDims(0);this.tf.dispose(r);let c=await this.detect(A,this.config);return this.tf.dispose(A),c}async warmup(e){let n=v();e&&(this.config=se(this.config,e));let r=this.config.videoOptimized;this.config.videoOptimized=!1;let A;typeof createImageBitmap=="function"?A=await this.warmupBitmap():typeof Image!="undefined"?A=await this.warmupCanvas():A=await this.warmupNode(),this.config.videoOptimized=r;let c=v();return u("Warmup",this.config.warmup,Math.round(c-n),"ms",A),A}};export{G0 as default}; +2Q==`;var M1={};B(M1,{author:()=>k0,browser:()=>Z0,bugs:()=>X0,default:()=>o5,dependencies:()=>Y0,description:()=>W0,devDependencies:()=>J0,engines:()=>F0,homepage:()=>L0,keywords:()=>K0,license:()=>H0,main:()=>O0,module:()=>I0,name:()=>j0,peerDependencies:()=>B0,repository:()=>q0,scripts:()=>U0,sideEffects:()=>N0,types:()=>V0,version:()=>S1});var j0="@vladmandic/human",S1="0.20.5",W0="Human: AI-powered 3D Face Detection, Face Embedding & Recognition, Body Pose Tracking, Hand & Finger Tracking, Iris Analysis, Age & Gender & Emotion Prediction & Gesture Recognition",N0=!1,O0="dist/human.node.js",I0="dist/human.esm.js",Z0="dist/human.esm.js",V0="types/human.d.ts",k0="Vladimir Mandic ",X0={url:"https://github.com/vladmandic/human/issues"},L0="https://github.com/vladmandic/human#readme",H0="MIT",F0={node:">=12.0.0"},q0={type:"git",url:"git+https://github.com/vladmandic/human.git"},Y0={},B0={},J0={"@tensorflow/tfjs":"^3.1.0","@tensorflow/tfjs-backend-cpu":"^3.1.0","@tensorflow/tfjs-backend-wasm":"^3.1.0","@tensorflow/tfjs-backend-webgl":"^3.1.0","@tensorflow/tfjs-converter":"^3.1.0","@tensorflow/tfjs-core":"^3.1.0","@tensorflow/tfjs-data":"^3.1.0","@tensorflow/tfjs-layers":"^3.1.0","@tensorflow/tfjs-node":"^3.1.0","@tensorflow/tfjs-node-gpu":"^3.1.0","@types/node":"^14.14.31","@typescript-eslint/eslint-plugin":"^4.15.1","@typescript-eslint/parser":"^4.15.1","@vladmandic/pilogger":"^0.2.14",chokidar:"^3.5.1",dayjs:"^1.10.4",esbuild:"^0.8.50",eslint:"^7.20.0","eslint-config-airbnb-base":"^14.2.1","eslint-plugin-import":"^2.22.1","eslint-plugin-json":"^2.1.2","eslint-plugin-node":"^11.1.0","eslint-plugin-promise":"^4.3.1",rimraf:"^3.0.2",seedrandom:"^3.0.5","simple-git":"^2.35.1",tslib:"^2.1.0",typescript:"^4.3.0-dev.20210221"},U0={start:"node --trace-warnings --unhandled-rejections=strict --trace-uncaught --no-deprecation src/node.js",lint:"eslint src demo server",dev:"npm install && node server/serve.js",build:"rimraf dist/* && rimraf types/* && node server/build.js && node server/changelog.js",update:"npm update --depth 20 --force && npm dedupe && npm prune && npm audit"},K0=["tensorflowjs","face-detection","face-geometry","face-embedding","face-recognition","body-tracking","hand-tracking","iris-tracking","age-estimation","emotion-detection","gender-prediction","gesture-recognition"],o5={name:j0,version:S1,description:W0,sideEffects:N0,main:O0,module:I0,browser:Z0,types:V0,author:k0,bugs:X0,homepage:L0,license:H0,engines:F0,repository:q0,dependencies:Y0,peerDependencies:B0,devDependencies:J0,scripts:U0,keywords:K0};var v=()=>typeof performance!="undefined"?performance.now():parseInt((Number(process.hrtime.bigint())/1e3/1e3).toString());function se(...t){let e=n=>n&&typeof n=="object";return t.reduce((n,r)=>(Object.keys(r||{}).forEach(A=>{let c=n[A],_=r[A];Array.isArray(c)&&Array.isArray(_)?n[A]=c.concat(..._):e(c)&&e(_)?n[A]=se(c,_):n[A]=_}),n),{})}var G0=class{constructor(e={}){this.tf=D0,this.package=M1,this.version=S1,this.config=se(S0,e),this.fx=null,this.state="idle",this.numTensors=0,this.analyzeMemoryLeaks=!1,this.checkSanity=!1,this.firstRun=!0,this.perf={},this.models={facemesh:null,posenet:null,handpose:null,iris:null,age:null,gender:null,emotion:null},this.facemesh=C0,this.age=Ye,this.gender=Ue,this.emotion=$e,this.body=f1,this.hand=v1}profile(){return this.config.profile?He:{}}analyze(...e){if(!this.analyzeMemoryLeaks)return;let n=this.tf.engine().state.numTensors,r=this.numTensors;this.numTensors=n;let A=n-r;A!==0&&u(...e,A)}sanity(e){if(!this.checkSanity)return null;if(!e)return"input is not defined";if(this.tf.ENV.flags.IS_NODE&&!(e instanceof this.tf.Tensor))return"input must be a tensor";try{this.tf.getBackend()}catch(n){return"backend not loaded"}return null}simmilarity(e,n){return this.config.face.embedding.enabled?C1(e,n):0}async load(e=null){this.state="load";let n=v();e&&(this.config=se(this.config,e)),this.firstRun&&(u(`version: ${this.version} TensorFlow/JS version: ${this.tf.version_core}`),await this.checkBackend(!0),this.tf.ENV.flags.IS_BROWSER&&(u("configuration:",this.config),u("tf flags:",this.tf.ENV.flags)));let r=this.config.face.detector.modelPath.includes("faceboxes")?Fe:C0;this.config.async?[this.models.face,this.models.age,this.models.gender,this.models.emotion,this.models.embedding,this.models.posenet,this.models.handpose]=await Promise.all([this.models.face||(this.config.face.enabled?r.load(this.config):null),this.models.age||(this.config.face.enabled&&this.config.face.age.enabled?Be(this.config):null),this.models.gender||(this.config.face.enabled&&this.config.face.gender.enabled?Ge(this.config):null),this.models.emotion||(this.config.face.enabled&&this.config.face.emotion.enabled?n1(this.config):null),this.models.embedding||(this.config.face.enabled&&this.config.face.embedding.enabled?A1(this.config):null),this.models.posenet||(this.config.body.enabled?p1(this.config):null),this.models.handpose||(this.config.hand.enabled?z1(this.config):null)]):(this.config.face.enabled&&!this.models.face&&(this.models.face=await r.load(this.config)),this.config.face.enabled&&this.config.face.age.enabled&&!this.models.age&&(this.models.age=await Be(this.config)),this.config.face.enabled&&this.config.face.gender.enabled&&!this.models.gender&&(this.models.gender=await Ge(this.config)),this.config.face.enabled&&this.config.face.emotion.enabled&&!this.models.emotion&&(this.models.emotion=await n1(this.config)),this.config.face.enabled&&this.config.face.embedding.enabled&&!this.models.embedding&&(this.models.embedding=await A1(this.config)),this.config.body.enabled&&!this.models.posenet&&(this.models.posenet=await p1(this.config)),this.config.hand.enabled&&!this.models.handpose&&(this.models.handpose=await z1(this.config))),this.firstRun&&(u("tf engine state:",this.tf.engine().state.numBytes,"bytes",this.tf.engine().state.numTensors,"tensors"),this.firstRun=!1);let A=Math.trunc(v()-n);A>(this.perf.load||0)&&(this.perf.load=A)}async checkBackend(e=!1){if(this.config.backend&&this.config.backend!==""&&e||this.tf.getBackend()!==this.config.backend){let n=v();this.state="backend",u("setting backend:",this.config.backend),this.config.backend==="wasm"&&(u("settings wasm path:",this.config.wasmPath),this.tf.setWasmPaths(this.config.wasmPath),await this.tf.env().getAsync("WASM_HAS_SIMD_SUPPORT")||u("warning: wasm simd support is not enabled")),this.config.backend==="humangl"&&I1();try{await this.tf.setBackend(this.config.backend)}catch(r){u("error: cannot set backend:",this.config.backend,r)}if(this.tf.enableProdMode(),this.tf.getBackend()==="webgl"){this.config.deallocate&&(u("changing webgl: WEBGL_DELETE_TEXTURE_THRESHOLD:",this.config.deallocate),this.tf.ENV.set("WEBGL_DELETE_TEXTURE_THRESHOLD",this.config.deallocate?0:-1)),this.tf.ENV.set("WEBGL_FORCE_F16_TEXTURES",!0),this.tf.ENV.set("WEBGL_PACK_DEPTHWISECONV",!0);let r=await this.tf.backend().getGPGPUContext().gl;u(`gl version:${r.getParameter(r.VERSION)} renderer:${r.getParameter(r.RENDERER)}`)}await this.tf.ready(),this.perf.backend=Math.trunc(v()-n)}}async detectFace(e){var i,a,y,w,l,f;let n,r,A,c,_,h=[];this.state="run:face",n=v();let x=await((i=this.models.face)==null?void 0:i.estimateFaces(e,this.config));this.perf.face=Math.trunc(v()-n);for(let s of x){if(this.analyze("Get Face"),!s.image||s.image.isDisposedInternal){u("Face object is disposed:",s.image);continue}this.analyze("Start Age:"),this.config.async?r=this.config.face.age.enabled?Je(s.image,this.config):{}:(this.state="run:age",n=v(),r=this.config.face.age.enabled?await Je(s.image,this.config):{},this.perf.age=Math.trunc(v()-n)),this.analyze("Start Gender:"),this.config.async?A=this.config.face.gender.enabled?Qe(s.image,this.config):{}:(this.state="run:gender",n=v(),A=this.config.face.gender.enabled?await Qe(s.image,this.config):{},this.perf.gender=Math.trunc(v()-n)),this.analyze("Start Emotion:"),this.config.async?c=this.config.face.emotion.enabled?r1(s.image,this.config):{}:(this.state="run:emotion",n=v(),c=this.config.face.emotion.enabled?await r1(s.image,this.config):{},this.perf.emotion=Math.trunc(v()-n)),this.analyze("End Emotion:"),this.analyze("Start Embedding:"),this.config.async?_=this.config.face.embedding.enabled?c1(s.image,this.config):{}:(this.state="run:embedding",n=v(),_=this.config.face.embedding.enabled?await c1(s.image,this.config):{},this.perf.embedding=Math.trunc(v()-n)),this.analyze("End Emotion:"),this.config.async&&([r,A,c,_]=await Promise.all([r,A,c,_])),this.analyze("Finish Face:"),!this.config.face.iris.enabled&&((a=s==null?void 0:s.annotations)==null?void 0:a.leftEyeIris)&&((y=s==null?void 0:s.annotations)==null?void 0:y.rightEyeIris)&&(delete s.annotations.leftEyeIris,delete s.annotations.rightEyeIris);let I=((w=s.annotations)==null?void 0:w.leftEyeIris)&&((l=s.annotations)==null?void 0:l.rightEyeIris)?11.7*Math.max(Math.abs(s.annotations.leftEyeIris[3][0]-s.annotations.leftEyeIris[1][0]),Math.abs(s.annotations.rightEyeIris[4][1]-s.annotations.rightEyeIris[2][1])):0;h.push({confidence:s.confidence,box:s.box,mesh:s.mesh,boxRaw:s.boxRaw,meshRaw:s.meshRaw,annotations:s.annotations,age:r.age,gender:A.gender,genderConfidence:A.confidence,emotion:c,embedding:_,iris:I!==0?Math.trunc(I)/100:0}),(f=s.image)==null||f.dispose(),this.analyze("End Face")}return this.analyze("End FaceMesh:"),this.config.async&&(this.perf.face&&delete this.perf.face,this.perf.age&&delete this.perf.age,this.perf.gender&&delete this.perf.gender,this.perf.emotion&&delete this.perf.emotion),h}async detect(e,n={}){return new Promise(async r=>{var w,l,f,s;this.state="config";let A;this.config=se(this.config,n),this.state="check";let c=this.sanity(e);c&&(u(c,e),r({error:c}));let _,h,x,i=v();await this.checkBackend(),await this.load(),this.config.scoped&&this.tf.engine().startScope(),this.analyze("Start Scope:"),A=v();let a=M0(e,this.config);if(!a||!a.tensor){u("could not convert input to tensor"),r({error:"could not convert input to tensor"});return}this.perf.image=Math.trunc(v()-A),this.analyze("Get Image:"),this.config.async?(x=this.config.face.enabled?this.detectFace(a.tensor):[],this.perf.face&&delete this.perf.face):(this.state="run:face",A=v(),x=this.config.face.enabled?await this.detectFace(a.tensor):[],this.perf.face=Math.trunc(v()-A)),this.analyze("Start Body:"),this.config.async?(_=this.config.body.enabled?(w=this.models.posenet)==null?void 0:w.estimatePoses(a.tensor,this.config):[],this.perf.body&&delete this.perf.body):(this.state="run:body",A=v(),_=this.config.body.enabled?await((l=this.models.posenet)==null?void 0:l.estimatePoses(a.tensor,this.config)):[],this.perf.body=Math.trunc(v()-A)),this.analyze("End Body:"),this.analyze("Start Hand:"),this.config.async?(h=this.config.hand.enabled?(f=this.models.handpose)==null?void 0:f.estimateHands(a.tensor,this.config):[],this.perf.hand&&delete this.perf.hand):(this.state="run:hand",A=v(),h=this.config.hand.enabled?await((s=this.models.handpose)==null?void 0:s.estimateHands(a.tensor,this.config)):[],this.perf.hand=Math.trunc(v()-A)),this.analyze("End Hand:"),this.config.async&&([x,_,h]=await Promise.all([x,_,h])),a.tensor.dispose(),this.config.scoped&&this.tf.engine().endScope(),this.analyze("End Scope:");let y=[];this.config.gesture.enabled&&(A=v(),y=[...P0(x),...v0(_),...E0(h),...R0(x)],this.config.async?this.perf.gesture&&delete this.perf.gesture:this.perf.gesture=Math.trunc(v()-A)),this.perf.total=Math.trunc(v()-i),this.state="idle",r({face:x,body:_,hand:h,gesture:y,performance:this.perf,canvas:a.canvas})})}async warmupBitmap(){let e=(A,c="application/octet-stream")=>fetch(`data:${c};base64,${A}`).then(_=>_.blob()),n,r;switch(this.config.warmup){case"face":n=await e(Ee);break;case"full":n=await e(ze);break;default:n=null}if(n){let A=await createImageBitmap(n);r=await this.detect(A,this.config),A.close()}return r}async warmupCanvas(){return new Promise(e=>{let n,r=0;switch(this.config.warmup){case"face":r=256,n="data:image/jpeg;base64,"+Ee;break;case"full":r=1200,n="data:image/jpeg;base64,"+ze;break;default:n=null}let A=new Image(r,r);A.onload=()=>{let c=typeof OffscreenCanvas!="undefined"?new OffscreenCanvas(r,r):document.createElement("canvas");c.width=r,c.height=r;let _=c.getContext("2d");_==null||_.drawImage(A,0,0);let h=_==null?void 0:_.getImageData(0,0,r,r);this.detect(h,this.config).then(x=>e(x))},n?A.src=n:e(null)})}async warmupNode(){let e=_=>Buffer.from(_,"base64"),n=this.config.warmup==="face"?e(Ee):e(ze),r=D0.node.decodeJpeg(n),A=r.expandDims(0);this.tf.dispose(r);let c=await this.detect(A,this.config);return this.tf.dispose(A),c}async warmup(e){let n=v();e&&(this.config=se(this.config,e));let r=this.config.videoOptimized;this.config.videoOptimized=!1;let A;typeof createImageBitmap=="function"?A=await this.warmupBitmap():typeof Image!="undefined"?A=await this.warmupCanvas():A=await this.warmupNode(),this.config.videoOptimized=r;let c=v();return u("Warmup",this.config.warmup,Math.round(c-n),"ms",A),A}};export{G0 as default}; //# sourceMappingURL=human.esm-nobundle.js.map diff --git a/dist/human.esm-nobundle.js.map b/dist/human.esm-nobundle.js.map index 65b02622..7cf6f617 100644 --- a/dist/human.esm-nobundle.js.map +++ b/dist/human.esm-nobundle.js.map @@ -1,7 +1,7 @@ { "version": 3, "sources": ["../src/tfjs/tf-browser.ts", "../src/blazeface/facemesh.ts", "../src/posenet/keypoints.ts", "../src/log.ts", "../src/human.ts", "../src/tfjs/backend.ts", "../src/blazeface/blazeface.ts", "../src/blazeface/facepipeline.ts", "../src/blazeface/box.ts", "../src/blazeface/util.ts", "../src/blazeface/coords.ts", "../src/faceboxes/faceboxes.ts", "../src/profile.ts", "../src/age/age.ts", "../src/gender/gender.ts", "../src/emotion/emotion.ts", "../src/embedding/embedding.ts", "../src/posenet/posenet.ts", "../src/posenet/modelBase.ts", "../src/posenet/heapSort.ts", "../src/posenet/buildParts.ts", "../src/posenet/decodePose.ts", "../src/posenet/vectors.ts", "../src/posenet/decoders.ts", "../src/posenet/decodeMultiple.ts", "../src/posenet/util.ts", "../src/handpose/handpose.ts", "../src/handpose/handdetector.ts", "../src/handpose/box.ts", "../src/handpose/handpipeline.ts", "../src/handpose/util.ts", "../src/handpose/anchors.ts", "../src/gesture/gesture.ts", "../src/image.ts", "../src/imagefx.js", "../config.js", "../src/sample.ts"], - "sourcesContent": ["// wrapper to load tfjs in a single place so version can be changed quickly\n\n// simplified\n// { modules: 1061, moduleBytes: 3772720, outputBytes: 1531035 }\n\n// export * from '@tensorflow/tfjs/dist/index.js';\n// export * from '@tensorflow/tfjs-backend-wasm';\n\n// modular\n// { modules: 1064, moduleBytes: 3793219, outputBytes: 1535600 }\n\n// get versions of all packages.\nimport * as packageBundle from '@tensorflow/tfjs/package.json';\nimport * as packageCore from '@tensorflow/tfjs-core/package.json';\nimport * as packageData from '@tensorflow/tfjs-data/package.json';\nimport * as packageLayers from '@tensorflow/tfjs-layers/package.json';\nimport * as packageConverter from '@tensorflow/tfjs-converter/package.json';\n// for backends, get version from source so it can register backend during import\nimport { version_cpu } from '@tensorflow/tfjs-backend-cpu/dist/index.js';\nimport { version_webgl } from '@tensorflow/tfjs-backend-webgl/dist/index.js';\nimport { version_wasm } from '@tensorflow/tfjs-backend-wasm/dist/index.js';\n\n// export all\nexport * from '@tensorflow/tfjs-core/dist/index.js';\nexport * from '@tensorflow/tfjs-layers/dist/index.js';\nexport * from '@tensorflow/tfjs-converter/dist/index.js';\nexport * as data from '@tensorflow/tfjs-data/dist/index.js';\nexport * from '@tensorflow/tfjs-backend-cpu/dist/index.js';\nexport * from '@tensorflow/tfjs-backend-webgl/dist/index.js';\nexport * from '@tensorflow/tfjs-backend-wasm/dist/index.js';\n\n// export versions\nexport const version = {\n tfjs: packageBundle.version,\n 'tfjs-core': packageCore.version,\n 'tfjs-data': packageData.version,\n 'tfjs-layers': packageLayers.version,\n 'tfjs-converter': packageConverter.version,\n 'tfjs-backend-cpu': version_cpu,\n 'tfjs-backend-webgl': version_webgl,\n 'tfjs-backend-wasm': version_wasm,\n};\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as blazeface from './blazeface';\nimport * as facepipeline from './facepipeline';\nimport * as coords from './coords';\n\nexport class MediaPipeFaceMesh {\n facePipeline: any;\n config: any;\n\n constructor(blazeFace, blazeMeshModel, irisModel, config) {\n this.facePipeline = new facepipeline.Pipeline(blazeFace, blazeMeshModel, irisModel, config);\n this.config = config;\n }\n\n async estimateFaces(input, config) {\n const predictions = await this.facePipeline.predict(input, config);\n const results: Array<{}> = [];\n for (const prediction of (predictions || [])) {\n if (prediction.isDisposedInternal) continue; // guard against disposed tensors on long running operations such as pause in middle of processing\n const mesh = prediction.coords ? prediction.coords.arraySync() : null;\n const meshRaw = prediction.rawCoords;\n const annotations = {};\n if (mesh && mesh.length > 0) {\n for (const key of Object.keys(coords.MESH_ANNOTATIONS)) {\n annotations[key] = coords.MESH_ANNOTATIONS[key].map((index) => mesh[index]);\n }\n }\n const boxRaw = (config.face.mesh.returnRawData && prediction.box) ? { topLeft: prediction.box.startPoint, bottomRight: prediction.box.endPoint } : null;\n const box = prediction.box ? [\n Math.max(0, prediction.box.startPoint[0]),\n Math.max(0, prediction.box.startPoint[1]),\n Math.min(input.shape[2], prediction.box.endPoint[0]) - prediction.box.startPoint[0],\n Math.min(input.shape[1], prediction.box.endPoint[1]) - prediction.box.startPoint[1],\n ] : 0;\n results.push({ confidence: prediction.confidence || 0, box, mesh, boxRaw, meshRaw, annotations, image: prediction.image ? tf.clone(prediction.image) : null });\n if (prediction.coords) prediction.coords.dispose();\n if (prediction.image) prediction.image.dispose();\n }\n return results;\n }\n}\n\nlet faceModels = [null, null, null];\nexport async function load(config) {\n // @ts-ignore\n faceModels = await Promise.all([\n (!faceModels[0] && config.face.enabled) ? blazeface.load(config) : null,\n (!faceModels[1] && config.face.mesh.enabled) ? tf.loadGraphModel(config.face.mesh.modelPath, { fromTFHub: config.face.mesh.modelPath.includes('tfhub.dev') }) : null,\n (!faceModels[2] && config.face.iris.enabled) ? tf.loadGraphModel(config.face.iris.modelPath, { fromTFHub: config.face.iris.modelPath.includes('tfhub.dev') }) : null,\n ]);\n const faceMesh = new MediaPipeFaceMesh(faceModels[0], faceModels[1], faceModels[2], config);\n if (config.face.mesh.enabled) log(`load model: ${config.face.mesh.modelPath.match(/\\/(.*)\\./)[1]}`);\n if (config.face.iris.enabled) log(`load model: ${config.face.iris.modelPath.match(/\\/(.*)\\./)[1]}`);\n return faceMesh;\n}\n\nexports.triangulation = coords.TRI468;\n", "export const partNames = [\n 'nose', 'leftEye', 'rightEye', 'leftEar', 'rightEar', 'leftShoulder',\n 'rightShoulder', 'leftElbow', 'rightElbow', 'leftWrist', 'rightWrist',\n 'leftHip', 'rightHip', 'leftKnee', 'rightKnee', 'leftAnkle', 'rightAnkle',\n];\n\nexport const NUM_KEYPOINTS = exports.partNames.length;\n\nexport const partIds = exports.partNames.reduce((result, jointName, i) => {\n result[jointName] = i;\n return result;\n}, {});\n\nconst connectedPartNames = [\n ['leftHip', 'leftShoulder'], ['leftElbow', 'leftShoulder'],\n ['leftElbow', 'leftWrist'], ['leftHip', 'leftKnee'],\n ['leftKnee', 'leftAnkle'], ['rightHip', 'rightShoulder'],\n ['rightElbow', 'rightShoulder'], ['rightElbow', 'rightWrist'],\n ['rightHip', 'rightKnee'], ['rightKnee', 'rightAnkle'],\n ['leftShoulder', 'rightShoulder'], ['leftHip', 'rightHip'],\n];\nexport const connectedPartIndices = connectedPartNames.map(([jointNameA, jointNameB]) => ([partIds[jointNameA], partIds[jointNameB]]));\n\nexport const poseChain = [\n ['nose', 'leftEye'], ['leftEye', 'leftEar'], ['nose', 'rightEye'],\n ['rightEye', 'rightEar'], ['nose', 'leftShoulder'],\n ['leftShoulder', 'leftElbow'], ['leftElbow', 'leftWrist'],\n ['leftShoulder', 'leftHip'], ['leftHip', 'leftKnee'],\n ['leftKnee', 'leftAnkle'], ['nose', 'rightShoulder'],\n ['rightShoulder', 'rightElbow'], ['rightElbow', 'rightWrist'],\n ['rightShoulder', 'rightHip'], ['rightHip', 'rightKnee'],\n ['rightKnee', 'rightAnkle'],\n];\n\nexport const partChannels = [\n 'left_face',\n 'right_face',\n 'right_upper_leg_front',\n 'right_lower_leg_back',\n 'right_upper_leg_back',\n 'left_lower_leg_front',\n 'left_upper_leg_front',\n 'left_upper_leg_back',\n 'left_lower_leg_back',\n 'right_feet',\n 'right_lower_leg_front',\n 'left_feet',\n 'torso_front',\n 'torso_back',\n 'right_upper_arm_front',\n 'right_upper_arm_back',\n 'right_lower_arm_back',\n 'left_lower_arm_front',\n 'left_upper_arm_front',\n 'left_upper_arm_back',\n 'left_lower_arm_back',\n 'right_hand',\n 'right_lower_arm_front',\n 'left_hand',\n];\n", "// helper function: wrapper around console output\nexport function log(...msg) {\n const dt = new Date();\n const ts = `${dt.getHours().toString().padStart(2, '0')}:${dt.getMinutes().toString().padStart(2, '0')}:${dt.getSeconds().toString().padStart(2, '0')}.${dt.getMilliseconds().toString().padStart(3, '0')}`;\n // eslint-disable-next-line no-console\n if (msg) console.log(ts, 'Human:', ...msg);\n}\n", "import { log } from './log';\nimport * as tf from '../dist/tfjs.esm.js';\nimport * as backend from './tfjs/backend';\nimport * as facemesh from './blazeface/facemesh';\nimport * as faceboxes from './faceboxes/faceboxes';\nimport * as age from './age/age';\nimport * as gender from './gender/gender';\nimport * as emotion from './emotion/emotion';\nimport * as embedding from './embedding/embedding';\nimport * as posenet from './posenet/posenet';\nimport * as handpose from './handpose/handpose';\nimport * as gesture from './gesture/gesture';\nimport * as image from './image';\nimport * as profile from './profile';\nimport * as config from '../config';\nimport * as sample from './sample';\nimport * as app from '../package.json';\n\n// helper function: gets elapsed time on both browser and nodejs\nconst now = () => {\n if (typeof performance !== 'undefined') return performance.now();\n return parseInt((Number(process.hrtime.bigint()) / 1000 / 1000).toString());\n};\n\n// helper function: perform deep merge of multiple objects so it allows full inheriance with overrides\nfunction mergeDeep(...objects) {\n const isObject = (obj) => obj && typeof obj === 'object';\n return objects.reduce((prev, obj) => {\n Object.keys(obj || {}).forEach((key) => {\n const pVal = prev[key];\n const oVal = obj[key];\n if (Array.isArray(pVal) && Array.isArray(oVal)) {\n prev[key] = pVal.concat(...oVal);\n } else if (isObject(pVal) && isObject(oVal)) {\n prev[key] = mergeDeep(pVal, oVal);\n } else {\n prev[key] = oVal;\n }\n });\n return prev;\n }, {});\n}\n\nclass Human {\n tf: any;\n package: any;\n version: string;\n config: any;\n fx: any;\n state: string;\n numTensors: number;\n analyzeMemoryLeaks: boolean;\n checkSanity: boolean;\n firstRun: boolean;\n perf: any;\n models: any;\n // models\n facemesh: any;\n age: any;\n gender: any;\n emotion: any;\n body: any;\n hand: any;\n\n constructor(userConfig = {}) {\n this.tf = tf;\n this.package = app;\n this.version = app.version;\n this.config = mergeDeep(config.default, userConfig);\n this.fx = null;\n this.state = 'idle';\n this.numTensors = 0;\n this.analyzeMemoryLeaks = false;\n this.checkSanity = false;\n this.firstRun = true;\n this.perf = {};\n // object that contains all initialized models\n this.models = {\n facemesh: null,\n posenet: null,\n handpose: null,\n iris: null,\n age: null,\n gender: null,\n emotion: null,\n };\n // export raw access to underlying models\n this.facemesh = facemesh;\n this.age = age;\n this.gender = gender;\n this.emotion = emotion;\n this.body = posenet;\n this.hand = handpose;\n }\n\n profile() {\n if (this.config.profile) return profile.data;\n return {};\n }\n\n // helper function: measure tensor leak\n analyze(...msg) {\n if (!this.analyzeMemoryLeaks) return;\n const current = this.tf.engine().state.numTensors;\n const previous = this.numTensors;\n this.numTensors = current;\n const leaked = current - previous;\n if (leaked !== 0) log(...msg, leaked);\n }\n\n // quick sanity check on inputs\n sanity(input) {\n if (!this.checkSanity) return null;\n if (!input) return 'input is not defined';\n if (this.tf.ENV.flags.IS_NODE && !(input instanceof this.tf.Tensor)) {\n return 'input must be a tensor';\n }\n try {\n this.tf.getBackend();\n } catch {\n return 'backend not loaded';\n }\n return null;\n }\n\n simmilarity(embedding1, embedding2) {\n if (this.config.face.embedding.enabled) return embedding.simmilarity(embedding1, embedding2);\n return 0;\n }\n\n // preload models, not explicitly required as it's done automatically on first use\n async load(userConfig = null) {\n this.state = 'load';\n const timeStamp = now();\n if (userConfig) this.config = mergeDeep(this.config, userConfig);\n\n if (this.firstRun) {\n log(`version: ${this.version} TensorFlow/JS version: ${this.tf.version_core}`);\n await this.checkBackend(true);\n if (this.tf.ENV.flags.IS_BROWSER) {\n log('configuration:', this.config);\n log('tf flags:', this.tf.ENV.flags);\n }\n }\n const face = this.config.face.detector.modelPath.includes('faceboxes') ? faceboxes : facemesh;\n if (this.config.async) {\n [\n this.models.face,\n this.models.age,\n this.models.gender,\n this.models.emotion,\n this.models.embedding,\n this.models.posenet,\n this.models.handpose,\n ] = await Promise.all([\n this.models.face || (this.config.face.enabled ? face.load(this.config) : null),\n this.models.age || ((this.config.face.enabled && this.config.face.age.enabled) ? age.load(this.config) : null),\n this.models.gender || ((this.config.face.enabled && this.config.face.gender.enabled) ? gender.load(this.config) : null),\n this.models.emotion || ((this.config.face.enabled && this.config.face.emotion.enabled) ? emotion.load(this.config) : null),\n this.models.embedding || ((this.config.face.enabled && this.config.face.embedding.enabled) ? embedding.load(this.config) : null),\n this.models.posenet || (this.config.body.enabled ? posenet.load(this.config) : null),\n this.models.handpose || (this.config.hand.enabled ? handpose.load(this.config) : null),\n ]);\n } else {\n if (this.config.face.enabled && !this.models.face) this.models.face = await face.load(this.config);\n if (this.config.face.enabled && this.config.face.age.enabled && !this.models.age) this.models.age = await age.load(this.config);\n if (this.config.face.enabled && this.config.face.gender.enabled && !this.models.gender) this.models.gender = await gender.load(this.config);\n if (this.config.face.enabled && this.config.face.emotion.enabled && !this.models.emotion) this.models.emotion = await emotion.load(this.config);\n if (this.config.face.enabled && this.config.face.embedding.enabled && !this.models.embedding) this.models.embedding = await embedding.load(this.config);\n if (this.config.body.enabled && !this.models.posenet) this.models.posenet = await posenet.load(this.config);\n if (this.config.hand.enabled && !this.models.handpose) this.models.handpose = await handpose.load(this.config);\n }\n\n if (this.firstRun) {\n log('tf engine state:', this.tf.engine().state.numBytes, 'bytes', this.tf.engine().state.numTensors, 'tensors');\n this.firstRun = false;\n }\n\n const current = Math.trunc(now() - timeStamp);\n if (current > (this.perf.load || 0)) this.perf.load = current;\n }\n\n // check if backend needs initialization if it changed\n async checkBackend(force = false) {\n if (this.config.backend && (this.config.backend !== '') && force || (this.tf.getBackend() !== this.config.backend)) {\n const timeStamp = now();\n this.state = 'backend';\n /* force backend reload\n if (this.config.backend in tf.engine().registry) {\n const backendFactory = tf.findBackendFactory(this.config.backend);\n tf.removeBackend(this.config.backend);\n tf.registerBackend(this.config.backend, backendFactory);\n } else {\n log('Backend not registred:', this.config.backend);\n }\n */\n\n log('setting backend:', this.config.backend);\n\n if (this.config.backend === 'wasm') {\n log('settings wasm path:', this.config.wasmPath);\n this.tf.setWasmPaths(this.config.wasmPath);\n const simd = await this.tf.env().getAsync('WASM_HAS_SIMD_SUPPORT');\n if (!simd) log('warning: wasm simd support is not enabled');\n }\n\n if (this.config.backend === 'humangl') backend.register();\n try {\n await this.tf.setBackend(this.config.backend);\n } catch (err) {\n log('error: cannot set backend:', this.config.backend, err);\n }\n this.tf.enableProdMode();\n /* debug mode is really too mcuh\n tf.enableDebugMode();\n */\n if (this.tf.getBackend() === 'webgl') {\n if (this.config.deallocate) {\n log('changing webgl: WEBGL_DELETE_TEXTURE_THRESHOLD:', this.config.deallocate);\n this.tf.ENV.set('WEBGL_DELETE_TEXTURE_THRESHOLD', this.config.deallocate ? 0 : -1);\n }\n this.tf.ENV.set('WEBGL_FORCE_F16_TEXTURES', true);\n this.tf.ENV.set('WEBGL_PACK_DEPTHWISECONV', true);\n const gl = await this.tf.backend().getGPGPUContext().gl;\n log(`gl version:${gl.getParameter(gl.VERSION)} renderer:${gl.getParameter(gl.RENDERER)}`);\n }\n await this.tf.ready();\n this.perf.backend = Math.trunc(now() - timeStamp);\n }\n }\n\n async detectFace(input) {\n // run facemesh, includes blazeface and iris\n // eslint-disable-next-line no-async-promise-executor\n let timeStamp;\n let ageRes;\n let genderRes;\n let emotionRes;\n let embeddingRes;\n const faceRes: Array<{ confidence: number, box: any, mesh: any, meshRaw: any, boxRaw: any, annotations: any, age: number, gender: string, genderConfidence: number, emotion: string, embedding: any, iris: number }> = [];\n this.state = 'run:face';\n timeStamp = now();\n const faces = await this.models.face?.estimateFaces(input, this.config);\n this.perf.face = Math.trunc(now() - timeStamp);\n for (const face of faces) {\n this.analyze('Get Face');\n\n // is something went wrong, skip the face\n if (!face.image || face.image.isDisposedInternal) {\n log('Face object is disposed:', face.image);\n continue;\n }\n\n // run age, inherits face from blazeface\n this.analyze('Start Age:');\n if (this.config.async) {\n ageRes = this.config.face.age.enabled ? age.predict(face.image, this.config) : {};\n } else {\n this.state = 'run:age';\n timeStamp = now();\n ageRes = this.config.face.age.enabled ? await age.predict(face.image, this.config) : {};\n this.perf.age = Math.trunc(now() - timeStamp);\n }\n\n // run gender, inherits face from blazeface\n this.analyze('Start Gender:');\n if (this.config.async) {\n genderRes = this.config.face.gender.enabled ? gender.predict(face.image, this.config) : {};\n } else {\n this.state = 'run:gender';\n timeStamp = now();\n genderRes = this.config.face.gender.enabled ? await gender.predict(face.image, this.config) : {};\n this.perf.gender = Math.trunc(now() - timeStamp);\n }\n\n // run emotion, inherits face from blazeface\n this.analyze('Start Emotion:');\n if (this.config.async) {\n emotionRes = this.config.face.emotion.enabled ? emotion.predict(face.image, this.config) : {};\n } else {\n this.state = 'run:emotion';\n timeStamp = now();\n emotionRes = this.config.face.emotion.enabled ? await emotion.predict(face.image, this.config) : {};\n this.perf.emotion = Math.trunc(now() - timeStamp);\n }\n this.analyze('End Emotion:');\n\n // run emotion, inherits face from blazeface\n this.analyze('Start Embedding:');\n if (this.config.async) {\n embeddingRes = this.config.face.embedding.enabled ? embedding.predict(face.image, this.config) : {};\n } else {\n this.state = 'run:embedding';\n timeStamp = now();\n embeddingRes = this.config.face.embedding.enabled ? await embedding.predict(face.image, this.config) : {};\n this.perf.embedding = Math.trunc(now() - timeStamp);\n }\n this.analyze('End Emotion:');\n\n // if async wait for results\n if (this.config.async) {\n [ageRes, genderRes, emotionRes, embeddingRes] = await Promise.all([ageRes, genderRes, emotionRes, embeddingRes]);\n }\n\n this.analyze('Finish Face:');\n\n // calculate iris distance\n // iris: array[ center, left, top, right, bottom]\n if (!this.config.face.iris.enabled && face?.annotations?.leftEyeIris && face?.annotations?.rightEyeIris) {\n delete face.annotations.leftEyeIris;\n delete face.annotations.rightEyeIris;\n }\n const irisSize = (face.annotations?.leftEyeIris && face.annotations?.rightEyeIris)\n /* average human iris size is 11.7mm */\n ? 11.7 * Math.max(Math.abs(face.annotations.leftEyeIris[3][0] - face.annotations.leftEyeIris[1][0]), Math.abs(face.annotations.rightEyeIris[4][1] - face.annotations.rightEyeIris[2][1]))\n : 0;\n\n // combine results\n faceRes.push({\n confidence: face.confidence,\n box: face.box,\n mesh: face.mesh,\n boxRaw: face.boxRaw,\n meshRaw: face.meshRaw,\n annotations: face.annotations,\n age: ageRes.age,\n gender: genderRes.gender,\n genderConfidence: genderRes.confidence,\n emotion: emotionRes,\n embedding: embeddingRes,\n iris: (irisSize !== 0) ? Math.trunc(irisSize) / 100 : 0,\n // image: face.image.toInt().squeeze(),\n });\n\n // dont need face anymore\n face.image?.dispose();\n this.analyze('End Face');\n }\n this.analyze('End FaceMesh:');\n if (this.config.async) {\n if (this.perf.face) delete this.perf.face;\n if (this.perf.age) delete this.perf.age;\n if (this.perf.gender) delete this.perf.gender;\n if (this.perf.emotion) delete this.perf.emotion;\n }\n return faceRes;\n }\n\n /*\n async processImage(input, userConfig = {}) {\n this.state = 'image';\n this.config = mergeDeep(this.config, userConfig);\n const process = image.process(input, this.config);\n process?.tensor?.dispose();\n return process?.canvas;\n }\n */\n\n // main detect function\n async detect(input, userConfig = {}) {\n // detection happens inside a promise\n return new Promise(async (resolve) => {\n this.state = 'config';\n let timeStamp;\n\n // update configuration\n this.config = mergeDeep(this.config, userConfig);\n\n // sanity checks\n this.state = 'check';\n const error = this.sanity(input);\n if (error) {\n log(error, input);\n resolve({ error });\n }\n\n let poseRes;\n let handRes;\n let faceRes;\n\n const timeStart = now();\n\n // configure backend\n await this.checkBackend();\n\n // load models if enabled\n await this.load();\n\n if (this.config.scoped) this.tf.engine().startScope();\n this.analyze('Start Scope:');\n\n timeStamp = now();\n const process = image.process(input, this.config);\n if (!process || !process.tensor) {\n log('could not convert input to tensor');\n resolve({ error: 'could not convert input to tensor' });\n return;\n }\n this.perf.image = Math.trunc(now() - timeStamp);\n this.analyze('Get Image:');\n\n // run face detection followed by all models that rely on face bounding box: face mesh, age, gender, emotion\n if (this.config.async) {\n faceRes = this.config.face.enabled ? this.detectFace(process.tensor) : [];\n if (this.perf.face) delete this.perf.face;\n } else {\n this.state = 'run:face';\n timeStamp = now();\n faceRes = this.config.face.enabled ? await this.detectFace(process.tensor) : [];\n this.perf.face = Math.trunc(now() - timeStamp);\n }\n\n // run posenet\n this.analyze('Start Body:');\n if (this.config.async) {\n poseRes = this.config.body.enabled ? this.models.posenet?.estimatePoses(process.tensor, this.config) : [];\n if (this.perf.body) delete this.perf.body;\n } else {\n this.state = 'run:body';\n timeStamp = now();\n poseRes = this.config.body.enabled ? await this.models.posenet?.estimatePoses(process.tensor, this.config) : [];\n this.perf.body = Math.trunc(now() - timeStamp);\n }\n this.analyze('End Body:');\n\n // run handpose\n this.analyze('Start Hand:');\n if (this.config.async) {\n handRes = this.config.hand.enabled ? this.models.handpose?.estimateHands(process.tensor, this.config) : [];\n if (this.perf.hand) delete this.perf.hand;\n } else {\n this.state = 'run:hand';\n timeStamp = now();\n handRes = this.config.hand.enabled ? await this.models.handpose?.estimateHands(process.tensor, this.config) : [];\n this.perf.hand = Math.trunc(now() - timeStamp);\n }\n this.analyze('End Hand:');\n\n // if async wait for results\n if (this.config.async) {\n [faceRes, poseRes, handRes] = await Promise.all([faceRes, poseRes, handRes]);\n }\n process.tensor.dispose();\n\n if (this.config.scoped) this.tf.engine().endScope();\n this.analyze('End Scope:');\n\n let gestureRes = [];\n if (this.config.gesture.enabled) {\n timeStamp = now();\n // @ts-ignore\n gestureRes = [...gesture.face(faceRes), ...gesture.body(poseRes), ...gesture.hand(handRes), ...gesture.iris(faceRes)];\n if (!this.config.async) this.perf.gesture = Math.trunc(now() - timeStamp);\n else if (this.perf.gesture) delete this.perf.gesture;\n }\n\n this.perf.total = Math.trunc(now() - timeStart);\n this.state = 'idle';\n resolve({ face: faceRes, body: poseRes, hand: handRes, gesture: gestureRes, performance: this.perf, canvas: process.canvas });\n });\n }\n\n async warmupBitmap() {\n const b64toBlob = (base64, type = 'application/octet-stream') => fetch(`data:${type};base64,${base64}`).then((res) => res.blob());\n let blob;\n let res;\n switch (this.config.warmup) {\n case 'face': blob = await b64toBlob(sample.face); break;\n case 'full': blob = await b64toBlob(sample.body); break;\n default: blob = null;\n }\n if (blob) {\n const bitmap = await createImageBitmap(blob);\n res = await this.detect(bitmap, this.config);\n bitmap.close();\n }\n return res;\n }\n\n async warmupCanvas() {\n return new Promise((resolve) => {\n let src;\n let size = 0;\n switch (this.config.warmup) {\n case 'face':\n size = 256;\n src = 'data:image/jpeg;base64,' + sample.face;\n break;\n case 'full':\n size = 1200;\n src = 'data:image/jpeg;base64,' + sample.body;\n break;\n default:\n src = null;\n }\n const img = new Image(size, size);\n img.onload = () => {\n const canvas = (typeof OffscreenCanvas !== 'undefined') ? new OffscreenCanvas(size, size) : document.createElement('canvas');\n canvas.width = size;\n canvas.height = size;\n const ctx = canvas.getContext('2d');\n ctx?.drawImage(img, 0, 0);\n const data = ctx?.getImageData(0, 0, size, size);\n this.detect(data, this.config).then((res) => resolve(res));\n };\n if (src) img.src = src;\n else resolve(null);\n });\n }\n\n async warmupNode() {\n const atob = (str) => Buffer.from(str, 'base64');\n const img = this.config.warmup === 'face' ? atob(sample.face) : atob(sample.body);\n // @ts-ignore\n const data = tf.node.decodeJpeg(img); // tf.node is only defined when compiling for nodejs\n const expanded = data.expandDims(0);\n this.tf.dispose(data);\n // log('Input:', expanded);\n const res = await this.detect(expanded, this.config);\n this.tf.dispose(expanded);\n return res;\n }\n\n async warmup(userConfig) {\n const t0 = now();\n if (userConfig) this.config = mergeDeep(this.config, userConfig);\n const video = this.config.videoOptimized;\n this.config.videoOptimized = false;\n let res;\n if (typeof createImageBitmap === 'function') res = await this.warmupBitmap();\n else if (typeof Image !== 'undefined') res = await this.warmupCanvas();\n else res = await this.warmupNode();\n this.config.videoOptimized = video;\n const t1 = now();\n log('Warmup', this.config.warmup, Math.round(t1 - t0), 'ms', res);\n return res;\n }\n}\n\nexport { Human as default };\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\n\nexport const config = {\n name: 'humangl',\n priority: 99,\n canvas: null,\n gl: null,\n width: 1024,\n height: 1024,\n webGLattr: { // https://www.khronos.org/registry/webgl/specs/latest/1.0/#5.2\n alpha: false,\n antialias: false,\n premultipliedAlpha: false,\n preserveDrawingBuffer: false,\n depth: false,\n stencil: false,\n failIfMajorPerformanceCaveat: false,\n desynchronized: true,\n },\n};\n\nexport function register() {\n if (!tf.findBackend(config.name)) {\n log('backend registration:', config.name);\n try {\n // @ts-ignore\n config.canvas = (typeof OffscreenCanvas !== 'undefined') ? new OffscreenCanvas(config.width, config.height) : document.createElement('canvas');\n } catch (err) {\n log('error: cannot create canvas:', err);\n return;\n }\n try {\n // @ts-ignore\n config.gl = config.canvas.getContext('webgl2', config.webGLattr);\n } catch (err) {\n log('error: cannot get WebGL2 context:', err);\n return;\n }\n try {\n tf.setWebGLContext(2, config.gl);\n } catch (err) {\n log('error: cannot set WebGL2 context:', err);\n return;\n }\n try {\n const ctx = new tf.GPGPUContext(config.gl);\n tf.registerBackend(config.name, () => new tf.MathBackendWebGL(ctx), config.priority);\n } catch (err) {\n log('error: cannot register WebGL backend:', err);\n return;\n }\n try {\n const kernels = tf.getKernelsForBackend('webgl');\n kernels.forEach((kernelConfig) => {\n const newKernelConfig = { ...kernelConfig, backendName: config.name };\n tf.registerKernel(newKernelConfig);\n });\n } catch (err) {\n log('error: cannot update WebGL backend registration:', err);\n return;\n }\n try {\n tf.ENV.set('WEBGL_VERSION', 2);\n // @ts-ignore\n tf.ENV.set('WEBGL_MAX_TEXTURE_SIZE', config.gl.getParameter(config.gl.MAX_TEXTURE_SIZE));\n tf.ENV.set('WEBGL_FORCE_F16_TEXTURES', true);\n tf.ENV.set('WEBGL_PACK_DEPTHWISECONV', true);\n } catch (err) {\n log('error: cannot set WebGL backend flags:', err);\n return;\n }\n log('backend registered:', config.name);\n }\n}\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\n\nconst NUM_LANDMARKS = 6;\n\nfunction generateAnchors(inputSize) {\n const spec = { strides: [inputSize / 16, inputSize / 8], anchors: [2, 6] };\n const anchors: Array<[number, number]> = [];\n for (let i = 0; i < spec.strides.length; i++) {\n const stride = spec.strides[i];\n const gridRows = Math.floor((inputSize + stride - 1) / stride);\n const gridCols = Math.floor((inputSize + stride - 1) / stride);\n const anchorsNum = spec.anchors[i];\n for (let gridY = 0; gridY < gridRows; gridY++) {\n const anchorY = stride * (gridY + 0.5);\n for (let gridX = 0; gridX < gridCols; gridX++) {\n const anchorX = stride * (gridX + 0.5);\n for (let n = 0; n < anchorsNum; n++) {\n anchors.push([anchorX, anchorY]);\n }\n }\n }\n }\n return anchors;\n}\n\nexport const disposeBox = (box) => {\n box.startEndTensor.dispose();\n box.startPoint.dispose();\n box.endPoint.dispose();\n};\n\nconst createBox = (startEndTensor) => ({\n startEndTensor,\n startPoint: tf.slice(startEndTensor, [0, 0], [-1, 2]),\n endPoint: tf.slice(startEndTensor, [0, 2], [-1, 2]),\n});\n\nfunction decodeBounds(boxOutputs, anchors, inputSize) {\n const boxStarts = tf.slice(boxOutputs, [0, 1], [-1, 2]);\n const centers = tf.add(boxStarts, anchors);\n const boxSizes = tf.slice(boxOutputs, [0, 3], [-1, 2]);\n const boxSizesNormalized = tf.div(boxSizes, inputSize);\n const centersNormalized = tf.div(centers, inputSize);\n const halfBoxSize = tf.div(boxSizesNormalized, 2);\n const starts = tf.sub(centersNormalized, halfBoxSize);\n const ends = tf.add(centersNormalized, halfBoxSize);\n const startNormalized = tf.mul(starts, inputSize);\n const endNormalized = tf.mul(ends, inputSize);\n const concatAxis = 1;\n return tf.concat2d([startNormalized, endNormalized], concatAxis);\n}\n\nexport class BlazeFaceModel {\n blazeFaceModel: any;\n width: number;\n height: number;\n anchorsData: any;\n anchors: any;\n inputSize: number;\n config: any;\n scaleFaces: number;\n\n constructor(model, config) {\n this.blazeFaceModel = model;\n this.width = config.face.detector.inputSize;\n this.height = config.face.detector.inputSize;\n this.anchorsData = generateAnchors(config.face.detector.inputSize);\n this.anchors = tf.tensor2d(this.anchorsData);\n this.inputSize = tf.tensor1d([this.width, this.height]);\n this.config = config;\n this.scaleFaces = 0.8;\n }\n\n async getBoundingBoxes(inputImage) {\n // sanity check on input\n if ((!inputImage) || (inputImage.isDisposedInternal) || (inputImage.shape.length !== 4) || (inputImage.shape[1] < 1) || (inputImage.shape[2] < 1)) return null;\n const [detectedOutputs, boxes, scores] = tf.tidy(() => {\n const resizedImage = inputImage.resizeBilinear([this.width, this.height]);\n // const normalizedImage = tf.mul(tf.sub(resizedImage.div(255), 0.5), 2);\n const normalizedImage = tf.sub(resizedImage.div(127.5), 1);\n const batchedPrediction = this.blazeFaceModel.predict(normalizedImage);\n let prediction;\n // are we using tfhub or pinto converted model?\n if (Array.isArray(batchedPrediction)) {\n const sorted = batchedPrediction.sort((a, b) => a.size - b.size);\n const concat384 = tf.concat([sorted[0], sorted[2]], 2); // dim: 384, 1 + 16\n const concat512 = tf.concat([sorted[1], sorted[3]], 2); // dim: 512, 1 + 16\n const concat = tf.concat([concat512, concat384], 1);\n prediction = concat.squeeze(0);\n } else {\n prediction = batchedPrediction.squeeze(); // when using tfhub model\n }\n const decodedBounds = decodeBounds(prediction, this.anchors, this.inputSize);\n const logits = tf.slice(prediction, [0, 0], [-1, 1]);\n const scoresOut = tf.sigmoid(logits).squeeze();\n return [prediction, decodedBounds, scoresOut];\n });\n const boxIndicesTensor = await tf.image.nonMaxSuppressionAsync(boxes, scores, this.config.face.detector.maxFaces, this.config.face.detector.iouThreshold, this.config.face.detector.scoreThreshold);\n const boxIndices = boxIndicesTensor.arraySync();\n boxIndicesTensor.dispose();\n const boundingBoxesMap = boxIndices.map((boxIndex) => tf.slice(boxes, [boxIndex, 0], [1, -1]));\n const boundingBoxes = boundingBoxesMap.map((boundingBox) => {\n const vals = boundingBox.arraySync();\n boundingBox.dispose();\n return vals;\n });\n\n const scoresVal = scores.dataSync();\n const annotatedBoxes: Array<{ box: any, landmarks: any, anchor: any, confidence: number }> = [];\n for (let i = 0; i < boundingBoxes.length; i++) {\n const boxIndex = boxIndices[i];\n const confidence = scoresVal[boxIndex];\n if (confidence > this.config.face.detector.minConfidence) {\n const box = createBox(boundingBoxes[i]);\n const anchor = this.anchorsData[boxIndex];\n const landmarks = tf.tidy(() => tf.slice(detectedOutputs, [boxIndex, NUM_LANDMARKS - 1], [1, -1]).squeeze().reshape([NUM_LANDMARKS, -1]));\n annotatedBoxes.push({ box, landmarks, anchor, confidence });\n }\n }\n detectedOutputs.dispose();\n boxes.dispose();\n scores.dispose();\n detectedOutputs.dispose();\n return {\n boxes: annotatedBoxes,\n scaleFactor: [inputImage.shape[2] / this.width, inputImage.shape[1] / this.height],\n };\n }\n}\n\nexport async function load(config) {\n const blazeface = await tf.loadGraphModel(config.face.detector.modelPath, { fromTFHub: config.face.detector.modelPath.includes('tfhub.dev') });\n const model = new BlazeFaceModel(blazeface, config);\n log(`load model: ${config.face.detector.modelPath.match(/\\/(.*)\\./)[1]}`);\n return model;\n}\n", "/* eslint-disable class-methods-use-this */\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as bounding from './box';\nimport * as util from './util';\nimport * as coords from './coords';\n\nconst LANDMARKS_COUNT = 468;\nconst MESH_MOUTH_INDEX = 13;\nconst MESH_KEYPOINTS_LINE_OF_SYMMETRY_INDICES = [MESH_MOUTH_INDEX, coords.MESH_ANNOTATIONS['midwayBetweenEyes'][0]];\nconst BLAZEFACE_MOUTH_INDEX = 3;\nconst BLAZEFACE_NOSE_INDEX = 2;\nconst BLAZEFACE_KEYPOINTS_LINE_OF_SYMMETRY_INDICES = [BLAZEFACE_MOUTH_INDEX, BLAZEFACE_NOSE_INDEX];\nconst LEFT_EYE_OUTLINE = coords.MESH_ANNOTATIONS['leftEyeLower0'];\nconst LEFT_EYE_BOUNDS = [LEFT_EYE_OUTLINE[0], LEFT_EYE_OUTLINE[LEFT_EYE_OUTLINE.length - 1]];\nconst RIGHT_EYE_OUTLINE = coords.MESH_ANNOTATIONS['rightEyeLower0'];\nconst RIGHT_EYE_BOUNDS = [RIGHT_EYE_OUTLINE[0], RIGHT_EYE_OUTLINE[RIGHT_EYE_OUTLINE.length - 1]];\nconst IRIS_UPPER_CENTER_INDEX = 3;\nconst IRIS_LOWER_CENTER_INDEX = 4;\nconst IRIS_IRIS_INDEX = 71;\nconst IRIS_NUM_COORDINATES = 76;\n\n// Replace the raw coordinates returned by facemesh with refined iris model coordinates. Update the z coordinate to be an average of the original and the new. This produces the best visual effect.\nfunction replaceRawCoordinates(rawCoords, newCoords, prefix, keys = null) {\n for (let i = 0; i < coords.MESH_TO_IRIS_INDICES_MAP.length; i++) {\n const { key, indices } = coords.MESH_TO_IRIS_INDICES_MAP[i];\n const originalIndices = coords.MESH_ANNOTATIONS[`${prefix}${key}`];\n // @ts-ignore\n if (!keys || keys.includes(key)) {\n for (let j = 0; j < indices.length; j++) {\n const index = indices[j];\n rawCoords[originalIndices[j]] = [\n newCoords[index][0], newCoords[index][1],\n (newCoords[index][2] + rawCoords[originalIndices[j]][2]) / 2,\n ];\n }\n }\n }\n}\n// The Pipeline coordinates between the bounding box and skeleton models.\nexport class Pipeline {\n storedBoxes: any;\n runsWithoutFaceDetector: number;\n boundingBoxDetector: any;\n meshDetector: any;\n irisModel: any;\n meshWidth: number;\n meshHeight: number;\n irisSize: number;\n irisEnlarge: number;\n skipped: number;\n detectedFaces: number;\n\n constructor(boundingBoxDetector, meshDetector, irisModel, config) {\n // An array of facial bounding boxes.\n this.storedBoxes = [];\n this.runsWithoutFaceDetector = 0;\n this.boundingBoxDetector = boundingBoxDetector;\n this.meshDetector = meshDetector;\n this.irisModel = irisModel;\n this.meshWidth = config.face.mesh.inputSize;\n this.meshHeight = config.face.mesh.inputSize;\n this.irisSize = config.face.iris.inputSize;\n this.irisEnlarge = 2.3;\n this.skipped = 0;\n this.detectedFaces = 0;\n }\n\n transformRawCoords(rawCoords, box, angle, rotationMatrix) {\n const boxSize = bounding.getBoxSize({ startPoint: box.startPoint, endPoint: box.endPoint });\n const scaleFactor = [boxSize[0] / this.meshWidth, boxSize[1] / this.meshHeight];\n const coordsScaled = rawCoords.map((coord) => ([\n scaleFactor[0] * (coord[0] - this.meshWidth / 2),\n scaleFactor[1] * (coord[1] - this.meshHeight / 2), coord[2],\n ]));\n const coordsRotationMatrix = (angle !== 0) ? util.buildRotationMatrix(angle, [0, 0]) : util.IDENTITY_MATRIX;\n const coordsRotated = (angle !== 0) ? coordsScaled.map((coord) => ([...util.rotatePoint(coord, coordsRotationMatrix), coord[2]])) : coordsScaled;\n const inverseRotationMatrix = (angle !== 0) ? util.invertTransformMatrix(rotationMatrix) : util.IDENTITY_MATRIX;\n const boxCenter = [...bounding.getBoxCenter({ startPoint: box.startPoint, endPoint: box.endPoint }), 1];\n return coordsRotated.map((coord) => ([\n coord[0] + util.dot(boxCenter, inverseRotationMatrix[0]),\n coord[1] + util.dot(boxCenter, inverseRotationMatrix[1]),\n coord[2],\n ]));\n }\n\n getLeftToRightEyeDepthDifference(rawCoords) {\n const leftEyeZ = rawCoords[LEFT_EYE_BOUNDS[0]][2];\n const rightEyeZ = rawCoords[RIGHT_EYE_BOUNDS[0]][2];\n return leftEyeZ - rightEyeZ;\n }\n\n // Returns a box describing a cropped region around the eye fit for passing to the iris model.\n getEyeBox(rawCoords, face, eyeInnerCornerIndex, eyeOuterCornerIndex, flip = false) {\n const box = bounding.squarifyBox(bounding.enlargeBox(this.calculateLandmarksBoundingBox([rawCoords[eyeInnerCornerIndex], rawCoords[eyeOuterCornerIndex]]), this.irisEnlarge));\n const boxSize = bounding.getBoxSize(box);\n let crop = tf.image.cropAndResize(face, [[\n box.startPoint[1] / this.meshHeight,\n box.startPoint[0] / this.meshWidth, box.endPoint[1] / this.meshHeight,\n box.endPoint[0] / this.meshWidth,\n ]], [0], [this.irisSize, this.irisSize]);\n if (flip) {\n crop = tf.image.flipLeftRight(crop);\n }\n return { box, boxSize, crop };\n }\n\n // Given a cropped image of an eye, returns the coordinates of the contours surrounding the eye and the iris.\n getEyeCoords(eyeData, eyeBox, eyeBoxSize, flip = false) {\n const eyeRawCoords: Array = [];\n for (let i = 0; i < IRIS_NUM_COORDINATES; i++) {\n const x = eyeData[i * 3];\n const y = eyeData[i * 3 + 1];\n const z = eyeData[i * 3 + 2];\n eyeRawCoords.push([\n (flip ? (1 - (x / this.irisSize)) : (x / this.irisSize)) * eyeBoxSize[0] + eyeBox.startPoint[0],\n (y / this.irisSize) * eyeBoxSize[1] + eyeBox.startPoint[1], z,\n ]);\n }\n return { rawCoords: eyeRawCoords, iris: eyeRawCoords.slice(IRIS_IRIS_INDEX) };\n }\n\n // The z-coordinates returned for the iris are unreliable, so we take the z values from the surrounding keypoints.\n getAdjustedIrisCoords(rawCoords, irisCoords, direction) {\n const upperCenterZ = rawCoords[coords.MESH_ANNOTATIONS[`${direction}EyeUpper0`][IRIS_UPPER_CENTER_INDEX]][2];\n const lowerCenterZ = rawCoords[coords.MESH_ANNOTATIONS[`${direction}EyeLower0`][IRIS_LOWER_CENTER_INDEX]][2];\n const averageZ = (upperCenterZ + lowerCenterZ) / 2;\n // Iris indices: 0: center | 1: right | 2: above | 3: left | 4: below\n return irisCoords.map((coord, i) => {\n let z = averageZ;\n if (i === 2) {\n z = upperCenterZ;\n } else if (i === 4) {\n z = lowerCenterZ;\n }\n return [coord[0], coord[1], z];\n });\n }\n\n async predict(input, config) {\n let useFreshBox = false;\n // run new detector every skipFrames unless we only want box to start with\n let detector;\n if ((this.skipped === 0) || (this.skipped > config.face.detector.skipFrames) || !config.face.mesh.enabled || !config.videoOptimized) {\n detector = await this.boundingBoxDetector.getBoundingBoxes(input);\n this.skipped = 0;\n }\n if (config.videoOptimized) this.skipped++;\n\n // if detector result count doesn't match current working set, use it to reset current working set\n if (detector && detector.boxes && (!config.face.mesh.enabled || (detector.boxes.length !== this.detectedFaces) && (this.detectedFaces !== config.face.detector.maxFaces))) {\n this.storedBoxes = [];\n this.detectedFaces = 0;\n for (const possible of detector.boxes) {\n this.storedBoxes.push({ startPoint: possible.box.startPoint.dataSync(), endPoint: possible.box.endPoint.dataSync(), landmarks: possible.landmarks, confidence: possible.confidence });\n }\n if (this.storedBoxes.length > 0) useFreshBox = true;\n }\n\n if (useFreshBox) {\n if (!detector || !detector.boxes || (detector.boxes.length === 0)) {\n this.storedBoxes = [];\n this.detectedFaces = 0;\n return null;\n }\n for (let i = 0; i < this.storedBoxes.length; i++) {\n const scaledBox = bounding.scaleBoxCoordinates({ startPoint: this.storedBoxes[i].startPoint, endPoint: this.storedBoxes[i].endPoint }, detector.scaleFactor);\n const enlargedBox = bounding.enlargeBox(scaledBox);\n const squarifiedBox = bounding.squarifyBox(enlargedBox);\n const landmarks = this.storedBoxes[i].landmarks.arraySync();\n const confidence = this.storedBoxes[i].confidence;\n this.storedBoxes[i] = { ...squarifiedBox, confidence, landmarks };\n }\n this.runsWithoutFaceDetector = 0;\n }\n if (detector && detector.boxes) {\n detector.boxes.forEach((prediction) => {\n prediction.box.startPoint.dispose();\n prediction.box.endPoint.dispose();\n prediction.landmarks.dispose();\n });\n }\n\n // log('face', `skipped: ${this.skipped} max: ${config.face.detector.maxFaces} detected: ${this.detectedFaces} stored: ${this.storedBoxes.length} new: ${detector?.boxes?.length}`);\n let results = tf.tidy(() => this.storedBoxes.map((box, i) => {\n // The facial bounding box landmarks could come either from blazeface (if we are using a fresh box), or from the mesh model (if we are reusing an old box).\n let face;\n let angle = 0;\n let rotationMatrix;\n if (config.face.detector.rotation) {\n const [indexOfMouth, indexOfForehead] = (box.landmarks.length >= LANDMARKS_COUNT) ? MESH_KEYPOINTS_LINE_OF_SYMMETRY_INDICES : BLAZEFACE_KEYPOINTS_LINE_OF_SYMMETRY_INDICES;\n angle = util.computeRotation(box.landmarks[indexOfMouth], box.landmarks[indexOfForehead]);\n const faceCenter = bounding.getBoxCenter({ startPoint: box.startPoint, endPoint: box.endPoint });\n const faceCenterNormalized = [faceCenter[0] / input.shape[2], faceCenter[1] / input.shape[1]];\n const rotatedImage = tf.image.rotateWithOffset(input, angle, 0, faceCenterNormalized);\n rotationMatrix = util.buildRotationMatrix(-angle, faceCenter);\n face = bounding.cutBoxFromImageAndResize({ startPoint: box.startPoint, endPoint: box.endPoint }, rotatedImage, [this.meshHeight, this.meshWidth]).div(255);\n } else {\n rotationMatrix = util.IDENTITY_MATRIX;\n const cloned = input.clone();\n face = bounding.cutBoxFromImageAndResize({ startPoint: box.startPoint, endPoint: box.endPoint }, cloned, [this.meshHeight, this.meshWidth]).div(255);\n }\n\n // if we're not going to produce mesh, don't spend time with further processing\n if (!config.face.mesh.enabled) {\n const prediction = {\n coords: null,\n box,\n faceConfidence: null,\n confidence: box.confidence,\n image: face,\n };\n return prediction;\n }\n\n const [, confidence, contourCoords] = this.meshDetector.predict(face); // The first returned tensor represents facial contours, which are included in the coordinates.\n const faceConfidence = confidence.dataSync()[0];\n if (faceConfidence < config.face.detector.minConfidence) return null; // if below confidence just exit\n const coordsReshaped = tf.reshape(contourCoords, [-1, 3]);\n let rawCoords = coordsReshaped.arraySync();\n\n if (config.face.iris.enabled) {\n const { box: leftEyeBox, boxSize: leftEyeBoxSize, crop: leftEyeCrop } = this.getEyeBox(rawCoords, face, LEFT_EYE_BOUNDS[0], LEFT_EYE_BOUNDS[1], true);\n const { box: rightEyeBox, boxSize: rightEyeBoxSize, crop: rightEyeCrop } = this.getEyeBox(rawCoords, face, RIGHT_EYE_BOUNDS[0], RIGHT_EYE_BOUNDS[1]);\n const eyePredictions = this.irisModel.predict(tf.concat([leftEyeCrop, rightEyeCrop]));\n const eyePredictionsData = eyePredictions.dataSync();\n const leftEyeData = eyePredictionsData.slice(0, IRIS_NUM_COORDINATES * 3);\n const { rawCoords: leftEyeRawCoords, iris: leftIrisRawCoords } = this.getEyeCoords(leftEyeData, leftEyeBox, leftEyeBoxSize, true);\n const rightEyeData = eyePredictionsData.slice(IRIS_NUM_COORDINATES * 3);\n const { rawCoords: rightEyeRawCoords, iris: rightIrisRawCoords } = this.getEyeCoords(rightEyeData, rightEyeBox, rightEyeBoxSize);\n const leftToRightEyeDepthDifference = this.getLeftToRightEyeDepthDifference(rawCoords);\n if (Math.abs(leftToRightEyeDepthDifference) < 30) { // User is looking straight ahead.\n replaceRawCoordinates(rawCoords, leftEyeRawCoords, 'left');\n replaceRawCoordinates(rawCoords, rightEyeRawCoords, 'right');\n // If the user is looking to the left or to the right, the iris coordinates tend to diverge too much from the mesh coordinates for them to be merged. So we only update a single contour line above and below the eye.\n } else if (leftToRightEyeDepthDifference < 1) { // User is looking towards the right.\n // @ts-ignore\n replaceRawCoordinates(rawCoords, leftEyeRawCoords, 'left', ['EyeUpper0', 'EyeLower0']);\n } else { // User is looking towards the left.\n // @ts-ignore\n replaceRawCoordinates(rawCoords, rightEyeRawCoords, 'right', ['EyeUpper0', 'EyeLower0']);\n }\n const adjustedLeftIrisCoords = this.getAdjustedIrisCoords(rawCoords, leftIrisRawCoords, 'left');\n const adjustedRightIrisCoords = this.getAdjustedIrisCoords(rawCoords, rightIrisRawCoords, 'right');\n rawCoords = rawCoords.concat(adjustedLeftIrisCoords).concat(adjustedRightIrisCoords);\n }\n\n const transformedCoordsData = this.transformRawCoords(rawCoords, box, angle, rotationMatrix);\n const landmarksBox = bounding.enlargeBox(this.calculateLandmarksBoundingBox(transformedCoordsData));\n const squarifiedLandmarksBox = bounding.squarifyBox(landmarksBox);\n const transformedCoords = tf.tensor2d(transformedCoordsData);\n const prediction = {\n coords: transformedCoords,\n box: landmarksBox,\n faceConfidence,\n confidence: box.confidence,\n image: face,\n rawCoords,\n };\n if (!config.face.mesh.returnRawData) delete prediction.rawCoords;\n this.storedBoxes[i] = { ...squarifiedLandmarksBox, landmarks: transformedCoords.arraySync(), confidence: box.confidence, faceConfidence };\n\n return prediction;\n }));\n results = results.filter((a) => a !== null);\n this.detectedFaces = results.length;\n return results;\n }\n\n calculateLandmarksBoundingBox(landmarks) {\n const xs = landmarks.map((d) => d[0]);\n const ys = landmarks.map((d) => d[1]);\n const startPoint = [Math.min(...xs), Math.min(...ys)];\n const endPoint = [Math.max(...xs), Math.max(...ys)];\n return { startPoint, endPoint, landmarks };\n }\n}\n", "import * as tf from '../../dist/tfjs.esm.js';\n\nexport function scaleBoxCoordinates(box, factor) {\n const startPoint = [box.startPoint[0] * factor[0], box.startPoint[1] * factor[1]];\n const endPoint = [box.endPoint[0] * factor[0], box.endPoint[1] * factor[1]];\n return { startPoint, endPoint };\n}\n\nexport function getBoxSize(box) {\n return [\n Math.abs(box.endPoint[0] - box.startPoint[0]),\n Math.abs(box.endPoint[1] - box.startPoint[1]),\n ];\n}\n\nexport function getBoxCenter(box) {\n return [\n box.startPoint[0] + (box.endPoint[0] - box.startPoint[0]) / 2,\n box.startPoint[1] + (box.endPoint[1] - box.startPoint[1]) / 2,\n ];\n}\n\nexport function cutBoxFromImageAndResize(box, image, cropSize) {\n const h = image.shape[1];\n const w = image.shape[2];\n const boxes = [[\n box.startPoint[1] / h, box.startPoint[0] / w, box.endPoint[1] / h,\n box.endPoint[0] / w,\n ]];\n return tf.image.cropAndResize(image, boxes, [0], cropSize);\n}\n\nexport function enlargeBox(box, factor = 1.5) {\n const center = getBoxCenter(box);\n const size = getBoxSize(box);\n const newHalfSize = [factor * size[0] / 2, factor * size[1] / 2];\n const startPoint = [center[0] - newHalfSize[0], center[1] - newHalfSize[1]];\n const endPoint = [center[0] + newHalfSize[0], center[1] + newHalfSize[1]];\n return { startPoint, endPoint, landmarks: box.landmarks };\n}\n\nexport function squarifyBox(box) {\n const centers = getBoxCenter(box);\n const size = getBoxSize(box);\n const maxEdge = Math.max(...size);\n const halfSize = maxEdge / 2;\n const startPoint = [centers[0] - halfSize, centers[1] - halfSize];\n const endPoint = [centers[0] + halfSize, centers[1] + halfSize];\n return { startPoint, endPoint, landmarks: box.landmarks };\n}\n", "export const IDENTITY_MATRIX = [[1, 0, 0], [0, 1, 0], [0, 0, 1]];\n/**\n * Normalizes the provided angle to the range -pi to pi.\n * @param angle The angle in radians to be normalized.\n */\nexport function normalizeRadians(angle) {\n return angle - 2 * Math.PI * Math.floor((angle + Math.PI) / (2 * Math.PI));\n}\n\n/**\n * Computes the angle of rotation between two anchor points.\n * @param point1 First anchor point\n * @param point2 Second anchor point\n */\nexport function computeRotation(point1, point2) {\n const radians = Math.PI / 2 - Math.atan2(-(point2[1] - point1[1]), point2[0] - point1[0]);\n return normalizeRadians(radians);\n}\n\nexport function radToDegrees(rad) {\n return rad * 180 / Math.PI;\n}\n\nexport function buildTranslationMatrix(x, y) {\n return [[1, 0, x], [0, 1, y], [0, 0, 1]];\n}\n\nexport function dot(v1, v2) {\n let product = 0;\n for (let i = 0; i < v1.length; i++) {\n product += v1[i] * v2[i];\n }\n return product;\n}\n\nexport function getColumnFrom2DArr(arr, columnIndex) {\n const column: Array = [];\n for (let i = 0; i < arr.length; i++) {\n column.push(arr[i][columnIndex]);\n }\n return column;\n}\n\nexport function multiplyTransformMatrices(mat1, mat2) {\n const product: Array = [];\n const size = mat1.length;\n for (let row = 0; row < size; row++) {\n product.push([]);\n for (let col = 0; col < size; col++) {\n product[row].push(dot(mat1[row], getColumnFrom2DArr(mat2, col)));\n }\n }\n return product;\n}\n\nexport function buildRotationMatrix(rotation, center) {\n const cosA = Math.cos(rotation);\n const sinA = Math.sin(rotation);\n const rotationMatrix = [[cosA, -sinA, 0], [sinA, cosA, 0], [0, 0, 1]];\n const translationMatrix = buildTranslationMatrix(center[0], center[1]);\n const translationTimesRotation = multiplyTransformMatrices(translationMatrix, rotationMatrix);\n const negativeTranslationMatrix = buildTranslationMatrix(-center[0], -center[1]);\n return multiplyTransformMatrices(translationTimesRotation, negativeTranslationMatrix);\n}\n\nexport function invertTransformMatrix(matrix) {\n const rotationComponent = [[matrix[0][0], matrix[1][0]], [matrix[0][1], matrix[1][1]]];\n const translationComponent = [matrix[0][2], matrix[1][2]];\n const invertedTranslation = [\n -dot(rotationComponent[0], translationComponent),\n -dot(rotationComponent[1], translationComponent),\n ];\n return [\n rotationComponent[0].concat(invertedTranslation[0]),\n rotationComponent[1].concat(invertedTranslation[1]),\n [0, 0, 1],\n ];\n}\n\nexport function rotatePoint(homogeneousCoordinate, rotationMatrix) {\n return [\n dot(homogeneousCoordinate, rotationMatrix[0]),\n dot(homogeneousCoordinate, rotationMatrix[1]),\n ];\n}\n\nexport function xyDistanceBetweenPoints(a, b) {\n return Math.sqrt(((a[0] - b[0]) ** 2) + ((a[1] - b[1]) ** 2));\n}\n", "export const MESH_ANNOTATIONS = {\n silhouette: [\n 10, 338, 297, 332, 284, 251, 389, 356, 454, 323, 361, 288,\n 397, 365, 379, 378, 400, 377, 152, 148, 176, 149, 150, 136,\n 172, 58, 132, 93, 234, 127, 162, 21, 54, 103, 67, 109,\n ],\n lipsUpperOuter: [61, 185, 40, 39, 37, 0, 267, 269, 270, 409, 291],\n lipsLowerOuter: [146, 91, 181, 84, 17, 314, 405, 321, 375, 291],\n lipsUpperInner: [78, 191, 80, 81, 82, 13, 312, 311, 310, 415, 308],\n lipsLowerInner: [78, 95, 88, 178, 87, 14, 317, 402, 318, 324, 308],\n rightEyeUpper0: [246, 161, 160, 159, 158, 157, 173],\n rightEyeLower0: [33, 7, 163, 144, 145, 153, 154, 155, 133],\n rightEyeUpper1: [247, 30, 29, 27, 28, 56, 190],\n rightEyeLower1: [130, 25, 110, 24, 23, 22, 26, 112, 243],\n rightEyeUpper2: [113, 225, 224, 223, 222, 221, 189],\n rightEyeLower2: [226, 31, 228, 229, 230, 231, 232, 233, 244],\n rightEyeLower3: [143, 111, 117, 118, 119, 120, 121, 128, 245],\n rightEyebrowUpper: [156, 70, 63, 105, 66, 107, 55, 193],\n rightEyebrowLower: [35, 124, 46, 53, 52, 65],\n rightEyeIris: [473, 474, 475, 476, 477],\n leftEyeUpper0: [466, 388, 387, 386, 385, 384, 398],\n leftEyeLower0: [263, 249, 390, 373, 374, 380, 381, 382, 362],\n leftEyeUpper1: [467, 260, 259, 257, 258, 286, 414],\n leftEyeLower1: [359, 255, 339, 254, 253, 252, 256, 341, 463],\n leftEyeUpper2: [342, 445, 444, 443, 442, 441, 413],\n leftEyeLower2: [446, 261, 448, 449, 450, 451, 452, 453, 464],\n leftEyeLower3: [372, 340, 346, 347, 348, 349, 350, 357, 465],\n leftEyebrowUpper: [383, 300, 293, 334, 296, 336, 285, 417],\n leftEyebrowLower: [265, 353, 276, 283, 282, 295],\n leftEyeIris: [468, 469, 470, 471, 472],\n midwayBetweenEyes: [168],\n noseTip: [1],\n noseBottom: [2],\n noseRightCorner: [98],\n noseLeftCorner: [327],\n rightCheek: [205],\n leftCheek: [425],\n};\n\nexport const MESH_TO_IRIS_INDICES_MAP = [ // A mapping from facemesh model keypoints to iris model keypoints.\n { key: 'EyeUpper0', indices: [9, 10, 11, 12, 13, 14, 15] },\n { key: 'EyeUpper1', indices: [25, 26, 27, 28, 29, 30, 31] },\n { key: 'EyeUpper2', indices: [41, 42, 43, 44, 45, 46, 47] },\n { key: 'EyeLower0', indices: [0, 1, 2, 3, 4, 5, 6, 7, 8] },\n { key: 'EyeLower1', indices: [16, 17, 18, 19, 20, 21, 22, 23, 24] },\n { key: 'EyeLower2', indices: [32, 33, 34, 35, 36, 37, 38, 39, 40] },\n { key: 'EyeLower3', indices: [54, 55, 56, 57, 58, 59, 60, 61, 62] },\n // { key: 'EyebrowUpper', indices: [63, 64, 65, 66, 67, 68, 69, 70] },\n // { key: 'EyebrowLower', indices: [48, 49, 50, 51, 52, 53] },\n];\n\nexport const UV468 = [\n [0.499976992607117, 0.652534008026123],\n [0.500025987625122, 0.547487020492554],\n [0.499974012374878, 0.602371990680695],\n [0.482113003730774, 0.471979022026062],\n [0.500150978565216, 0.527155995368958],\n [0.499909996986389, 0.498252987861633],\n [0.499523013830185, 0.40106201171875],\n [0.289712011814117, 0.380764007568359],\n [0.499954998493195, 0.312398016452789],\n [0.499987006187439, 0.269918978214264],\n [0.500023007392883, 0.107050001621246],\n [0.500023007392883, 0.666234016418457],\n [0.5000159740448, 0.679224014282227],\n [0.500023007392883, 0.692348003387451],\n [0.499976992607117, 0.695277988910675],\n [0.499976992607117, 0.70593398809433],\n [0.499976992607117, 0.719385027885437],\n [0.499976992607117, 0.737019002437592],\n [0.499967992305756, 0.781370997428894],\n [0.499816000461578, 0.562981009483337],\n [0.473773002624512, 0.573909997940063],\n [0.104906998574734, 0.254140973091125],\n [0.365929991006851, 0.409575998783112],\n [0.338757991790771, 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0.924192011356354],\n [0.88577002286911, 0.615028977394104],\n [0.551338016986847, 0.695277988910675],\n [0.551980018615723, 0.704632043838501],\n [0.552887976169586, 0.715808033943176],\n [0.555167973041534, 0.730794012546539],\n [0.569944024085999, 0.767035007476807],\n [0.593203008174896, 0.685675978660583],\n [0.599261999130249, 0.681069016456604],\n [0.607599973678589, 0.677703022956848],\n [0.631937980651855, 0.663500010967255],\n [0.752032995223999, 0.601315021514893],\n [0.547226011753082, 0.420395016670227],\n [0.563543975353241, 0.359827995300293],\n [0.583841025829315, 0.368713974952698],\n [0.586614012718201, 0.692366003990173],\n [0.771915018558502, 0.683578014373779],\n [0.531597018241882, 0.352482974529266],\n [0.588370978832245, 0.804440975189209],\n [0.52079701423645, 0.442565023899078],\n [0.567984998226166, 0.493479013442993],\n [0.543282985687256, 0.819254994392395],\n [0.655317008495331, 0.745514988899231],\n [0.621008992195129, 0.574018001556396],\n [0.625559985637665, 0.78031200170517],\n [0.680198013782501, 0.570719003677368],\n [0.64276397228241, 0.604337990283966],\n [0.704662978649139, 0.621529996395111],\n [0.552012026309967, 0.862591981887817],\n [0.589071989059448, 0.508637011051178],\n [0.685944974422455, 0.775357007980347],\n [0.645735025405884, 0.812640011310577],\n [0.675342977046967, 0.703978002071381],\n [0.810858011245728, 0.646304965019226],\n [0.72012197971344, 0.714666962623596],\n [0.866151988506317, 0.682704985141754],\n [0.663187026977539, 0.644596993923187],\n [0.570082008838654, 0.466325998306274],\n [0.544561982154846, 0.548375964164734],\n [0.562758982181549, 0.558784961700439],\n [0.531987011432648, 0.530140042304993],\n [0.585271000862122, 0.335177004337311],\n [0.622952997684479, 0.32277899980545],\n [0.655896008014679, 0.320163011550903],\n [0.687132000923157, 0.322345972061157],\n [0.716481983661652, 0.333200991153717],\n [0.758756995201111, 0.382786989212036],\n [0.897013008594513, 0.468769013881683],\n [0.732392013072968, 0.424547016620636],\n [0.70211398601532, 0.433162987232208],\n [0.66652500629425, 0.433866024017334],\n [0.633504986763, 0.426087975502014],\n [0.603875994682312, 0.416586995124817],\n [0.579657971858978, 0.409945011138916],\n [0.992439985275269, 0.480777025222778],\n [0.567192018032074, 0.569419980049133],\n [0.54136598110199, 0.478899002075195],\n [0.526564002037048, 0.546118021011353],\n [0.523913025856018, 0.563830018043518],\n [0.531529009342194, 0.555056989192963],\n [0.566035985946655, 0.582329034805298],\n [0.51631098985672, 0.563053965568542],\n [0.5174720287323, 0.577877044677734],\n [0.573594987392426, 0.389806985855103],\n [0.560697972774506, 0.395331978797913],\n [0.549755990505219, 0.399751007556915],\n [0.710287988185883, 0.368252992630005],\n [0.723330020904541, 0.363372981548309],\n];\n\nexport const TRI468 = [\n 127, 34, 139, 11, 0, 37, 232, 231, 120, 72, 37, 39, 128, 121, 47, 232, 121, 128, 104, 69, 67, 175, 171, 148, 157, 154, 155, 118, 50, 101, 73, 39, 40, 9,\n 151, 108, 48, 115, 131, 194, 204, 211, 74, 40, 185, 80, 42, 183, 40, 92, 186, 230, 229, 118, 202, 212, 214, 83, 18, 17, 76, 61, 146, 160, 29, 30, 56,\n 157, 173, 106, 204, 194, 135, 214, 192, 203, 165, 98, 21, 71, 68, 51, 45, 4, 144, 24, 23, 77, 146, 91, 205, 50, 187, 201, 200, 18, 91, 106, 182, 90, 91,\n 181, 85, 84, 17, 206, 203, 36, 148, 171, 140, 92, 40, 39, 193, 189, 244, 159, 158, 28, 247, 246, 161, 236, 3, 196, 54, 68, 104, 193, 168, 8, 117,\n 228, 31, 189, 193, 55, 98, 97, 99, 126, 47, 100, 166, 79, 218, 155, 154, 26, 209, 49, 131, 135, 136, 150, 47, 126, 217, 223, 52, 53, 45, 51, 134, 211,\n 170, 140, 67, 69, 108, 43, 106, 91, 230, 119, 120, 226, 130, 247, 63, 53, 52, 238, 20, 242, 46, 70, 156, 78, 62, 96, 46, 53, 63, 143, 34, 227, 173,\n 155, 133, 123, 117, 111, 44, 125, 19, 236, 134, 51, 216, 206, 205, 154, 153, 22, 39, 37, 167, 200, 201, 208, 36, 142, 100, 57, 212, 202, 20, 60, 99, 28,\n 158, 157, 35, 226, 113, 160, 159, 27, 204, 202, 210, 113, 225, 46, 43, 202, 204, 62, 76, 77, 137, 123, 116, 41, 38, 72, 203, 129, 142, 64, 98, 240, 49,\n 102, 64, 41, 73, 74, 212, 216, 207, 42, 74, 184, 169, 170, 211, 170, 149, 176, 105, 66, 69, 122, 6, 168, 123, 147, 187, 96, 77, 90, 65, 55, 107, 89,\n 90, 180, 101, 100, 120, 63, 105, 104, 93, 137, 227, 15, 86, 85, 129, 102, 49, 14, 87, 86, 55, 8, 9, 100, 47, 121, 145, 23, 22, 88, 89, 179, 6, 122,\n 196, 88, 95, 96, 138, 172, 136, 215, 58, 172, 115, 48, 219, 42, 80, 81, 195, 3, 51, 43, 146, 61, 171, 175, 199, 81, 82, 38, 53, 46, 225, 144, 163, 110,\n 246, 33, 7, 52, 65, 66, 229, 228, 117, 34, 127, 234, 107, 108, 69, 109, 108, 151, 48, 64, 235, 62, 78, 191, 129, 209, 126, 111, 35, 143, 163, 161, 246,\n 117, 123, 50, 222, 65, 52, 19, 125, 141, 221, 55, 65, 3, 195, 197, 25, 7, 33, 220, 237, 44, 70, 71, 139, 122, 193, 245, 247, 130, 33, 71, 21, 162,\n 153, 158, 159, 170, 169, 150, 188, 174, 196, 216, 186, 92, 144, 160, 161, 2, 97, 167, 141, 125, 241, 164, 167, 37, 72, 38, 12, 145, 159, 160, 38, 82, 13,\n 63, 68, 71, 226, 35, 111, 158, 153, 154, 101, 50, 205, 206, 92, 165, 209, 198, 217, 165, 167, 97, 220, 115, 218, 133, 112, 243, 239, 238, 241, 214,\n 135, 169, 190, 173, 133, 171, 208, 32, 125, 44, 237, 86, 87, 178, 85, 86, 179, 84, 85, 180, 83, 84, 181, 201, 83, 182, 137, 93, 132, 76, 62, 183, 61,\n 76, 184, 57, 61, 185, 212, 57, 186, 214, 207, 187, 34, 143, 156, 79, 239, 237, 123, 137, 177, 44, 1, 4, 201, 194, 32, 64, 102, 129, 213, 215, 138, 59,\n 166, 219, 242, 99, 97, 2, 94, 141, 75, 59, 235, 24, 110, 228, 25, 130, 226, 23, 24, 229, 22, 23, 230, 26, 22, 231, 112, 26, 232, 189, 190, 243, 221, 56,\n 190, 28, 56, 221, 27, 28, 222, 29, 27, 223, 30, 29, 224, 247, 30, 225, 238, 79, 20, 166, 59, 75, 60, 75, 240, 147, 177, 215, 20, 79, 166, 187, 147, 213,\n 112, 233, 244, 233, 128, 245, 128, 114, 188, 114, 217, 174, 131, 115, 220, 217, 198, 236, 198, 131, 134, 177, 132, 58, 143, 35, 124, 110, 163, 7, 228,\n 110, 25, 356, 389, 368, 11, 302, 267, 452, 350, 349, 302, 303, 269, 357, 343, 277, 452, 453, 357, 333, 332, 297, 175, 152, 377, 384, 398, 382, 347,\n 348, 330, 303, 304, 270, 9, 336, 337, 278, 279, 360, 418, 262, 431, 304, 408, 409, 310, 415, 407, 270, 409, 410, 450, 348, 347, 422, 430, 434, 313,\n 314, 17, 306, 307, 375, 387, 388, 260, 286, 414, 398, 335, 406, 418, 364, 367, 416, 423, 358, 327, 251, 284, 298, 281, 5, 4, 373, 374, 253, 307, 320,\n 321, 425, 427, 411, 421, 313, 18, 321, 405, 406, 320, 404, 405, 315, 16, 17, 426, 425, 266, 377, 400, 369, 322, 391, 269, 417, 465, 464, 386, 257, 258,\n 466, 260, 388, 456, 399, 419, 284, 332, 333, 417, 285, 8, 346, 340, 261, 413, 441, 285, 327, 460, 328, 355, 371, 329, 392, 439, 438, 382, 341, 256,\n 429, 420, 360, 364, 394, 379, 277, 343, 437, 443, 444, 283, 275, 440, 363, 431, 262, 369, 297, 338, 337, 273, 375, 321, 450, 451, 349, 446, 342, 467,\n 293, 334, 282, 458, 461, 462, 276, 353, 383, 308, 324, 325, 276, 300, 293, 372, 345, 447, 382, 398, 362, 352, 345, 340, 274, 1, 19, 456, 248, 281, 436,\n 427, 425, 381, 256, 252, 269, 391, 393, 200, 199, 428, 266, 330, 329, 287, 273, 422, 250, 462, 328, 258, 286, 384, 265, 353, 342, 387, 259, 257, 424,\n 431, 430, 342, 353, 276, 273, 335, 424, 292, 325, 307, 366, 447, 345, 271, 303, 302, 423, 266, 371, 294, 455, 460, 279, 278, 294, 271, 272, 304, 432,\n 434, 427, 272, 407, 408, 394, 430, 431, 395, 369, 400, 334, 333, 299, 351, 417, 168, 352, 280, 411, 325, 319, 320, 295, 296, 336, 319, 403, 404, 330,\n 348, 349, 293, 298, 333, 323, 454, 447, 15, 16, 315, 358, 429, 279, 14, 15, 316, 285, 336, 9, 329, 349, 350, 374, 380, 252, 318, 402, 403, 6, 197, 419,\n 318, 319, 325, 367, 364, 365, 435, 367, 397, 344, 438, 439, 272, 271, 311, 195, 5, 281, 273, 287, 291, 396, 428, 199, 311, 271, 268, 283, 444, 445,\n 373, 254, 339, 263, 466, 249, 282, 334, 296, 449, 347, 346, 264, 447, 454, 336, 296, 299, 338, 10, 151, 278, 439, 455, 292, 407, 415, 358, 371, 355,\n 340, 345, 372, 390, 249, 466, 346, 347, 280, 442, 443, 282, 19, 94, 370, 441, 442, 295, 248, 419, 197, 263, 255, 359, 440, 275, 274, 300, 383, 368,\n 351, 412, 465, 263, 467, 466, 301, 368, 389, 380, 374, 386, 395, 378, 379, 412, 351, 419, 436, 426, 322, 373, 390, 388, 2, 164, 393, 370, 462, 461,\n 164, 0, 267, 302, 11, 12, 374, 373, 387, 268, 12, 13, 293, 300, 301, 446, 261, 340, 385, 384, 381, 330, 266, 425, 426, 423, 391, 429, 355, 437, 391,\n 327, 326, 440, 457, 438, 341, 382, 362, 459, 457, 461, 434, 430, 394, 414, 463, 362, 396, 369, 262, 354, 461, 457, 316, 403, 402, 315, 404, 403, 314,\n 405, 404, 313, 406, 405, 421, 418, 406, 366, 401, 361, 306, 408, 407, 291, 409, 408, 287, 410, 409, 432, 436, 410, 434, 416, 411, 264, 368, 383, 309,\n 438, 457, 352, 376, 401, 274, 275, 4, 421, 428, 262, 294, 327, 358, 433, 416, 367, 289, 455, 439, 462, 370, 326, 2, 326, 370, 305, 460, 455, 254,\n 449, 448, 255, 261, 446, 253, 450, 449, 252, 451, 450, 256, 452, 451, 341, 453, 452, 413, 464, 463, 441, 413, 414, 258, 442, 441, 257, 443, 442, 259,\n 444, 443, 260, 445, 444, 467, 342, 445, 459, 458, 250, 289, 392, 290, 290, 328, 460, 376, 433, 435, 250, 290, 392, 411, 416, 433, 341, 463, 464, 453,\n 464, 465, 357, 465, 412, 343, 412, 399, 360, 363, 440, 437, 399, 456, 420, 456, 363, 401, 435, 288, 372, 383, 353, 339, 255, 249, 448, 261, 255, 133,\n 243, 190, 133, 155, 112, 33, 246, 247, 33, 130, 25, 398, 384, 286, 362, 398, 414, 362, 463, 341, 263, 359, 467, 263, 249, 255, 466, 467, 260, 75, 60,\n 166, 238, 239, 79, 162, 127, 139, 72, 11, 37, 121, 232, 120, 73, 72, 39, 114, 128, 47, 233, 232, 128, 103, 104, 67, 152, 175, 148, 173, 157, 155,\n 119, 118, 101, 74, 73, 40, 107, 9, 108, 49, 48, 131, 32, 194, 211, 184, 74, 185, 191, 80, 183, 185, 40, 186, 119, 230, 118, 210, 202, 214, 84, 83, 17,\n 77, 76, 146, 161, 160, 30, 190, 56, 173, 182, 106, 194, 138, 135, 192, 129, 203, 98, 54, 21, 68, 5, 51, 4, 145, 144, 23, 90, 77, 91, 207, 205, 187, 83,\n 201, 18, 181, 91, 182, 180, 90, 181, 16, 85, 17, 205, 206, 36, 176, 148, 140, 165, 92, 39, 245, 193, 244, 27, 159, 28, 30, 247, 161, 174, 236, 196,\n 103, 54, 104, 55, 193, 8, 111, 117, 31, 221, 189, 55, 240, 98, 99, 142, 126, 100, 219, 166, 218, 112, 155, 26, 198, 209, 131, 169, 135, 150, 114, 47,\n 217, 224, 223, 53, 220, 45, 134, 32, 211, 140, 109, 67, 108, 146, 43, 91, 231, 230, 120, 113, 226, 247, 105, 63, 52, 241, 238, 242, 124, 46, 156, 95,\n 78, 96, 70, 46, 63, 116, 143, 227, 116, 123, 111, 1, 44, 19, 3, 236, 51, 207, 216, 205, 26, 154, 22, 165, 39, 167, 199, 200, 208, 101, 36, 100, 43,\n 57, 202, 242, 20, 99, 56, 28, 157, 124, 35, 113, 29, 160, 27, 211, 204, 210, 124, 113, 46, 106, 43, 204, 96, 62, 77, 227, 137, 116, 73, 41, 72, 36, 203,\n 142, 235, 64, 240, 48, 49, 64, 42, 41, 74, 214, 212, 207, 183, 42, 184, 210, 169, 211, 140, 170, 176, 104, 105, 69, 193, 122, 168, 50, 123, 187, 89, 96,\n 90, 66, 65, 107, 179, 89, 180, 119, 101, 120, 68, 63, 104, 234, 93, 227, 16, 15, 85, 209, 129, 49, 15, 14, 86, 107, 55, 9, 120, 100, 121, 153, 145, 22,\n 178, 88, 179, 197, 6, 196, 89, 88, 96, 135, 138, 136, 138, 215, 172, 218, 115, 219, 41, 42, 81, 5, 195, 51, 57, 43, 61, 208, 171, 199, 41, 81, 38,\n 224, 53, 225, 24, 144, 110, 105, 52, 66, 118, 229, 117, 227, 34, 234, 66, 107, 69, 10, 109, 151, 219, 48, 235, 183, 62, 191, 142, 129, 126, 116, 111,\n 143, 7, 163, 246, 118, 117, 50, 223, 222, 52, 94, 19, 141, 222, 221, 65, 196, 3, 197, 45, 220, 44, 156, 70, 139, 188, 122, 245, 139, 71, 162, 145,\n 153, 159, 149, 170, 150, 122, 188, 196, 206, 216, 92, 163, 144, 161, 164, 2, 167, 242, 141, 241, 0, 164, 37, 11, 72, 12, 144, 145, 160, 12, 38, 13, 70,\n 63, 71, 31, 226, 111, 157, 158, 154, 36, 101, 205, 203, 206, 165, 126, 209, 217, 98, 165, 97, 237, 220, 218, 237, 239, 241, 210, 214, 169, 140, 171, 32,\n 241, 125, 237, 179, 86, 178, 180, 85, 179, 181, 84, 180, 182, 83, 181, 194, 201, 182, 177, 137, 132, 184, 76, 183, 185, 61, 184, 186, 57, 185, 216, 212,\n 186, 192, 214, 187, 139, 34, 156, 218, 79, 237, 147, 123, 177, 45, 44, 4, 208, 201, 32, 98, 64, 129, 192, 213, 138, 235, 59, 219, 141, 242, 97, 97, 2,\n 141, 240, 75, 235, 229, 24, 228, 31, 25, 226, 230, 23, 229, 231, 22, 230, 232, 26, 231, 233, 112, 232, 244, 189, 243, 189, 221, 190, 222, 28, 221,\n 223, 27, 222, 224, 29, 223, 225, 30, 224, 113, 247, 225, 99, 60, 240, 213, 147, 215, 60, 20, 166, 192, 187, 213, 243, 112, 244, 244, 233, 245, 245,\n 128, 188, 188, 114, 174, 134, 131, 220, 174, 217, 236, 236, 198, 134, 215, 177, 58, 156, 143, 124, 25, 110, 7, 31, 228, 25, 264, 356, 368, 0, 11, 267,\n 451, 452, 349, 267, 302, 269, 350, 357, 277, 350, 452, 357, 299, 333, 297, 396, 175, 377, 381, 384, 382, 280, 347, 330, 269, 303, 270, 151, 9, 337,\n 344, 278, 360, 424, 418, 431, 270, 304, 409, 272, 310, 407, 322, 270, 410, 449, 450, 347, 432, 422, 434, 18, 313, 17, 291, 306, 375, 259, 387, 260,\n 424, 335, 418, 434, 364, 416, 391, 423, 327, 301, 251, 298, 275, 281, 4, 254, 373, 253, 375, 307, 321, 280, 425, 411, 200, 421, 18, 335, 321, 406,\n 321, 320, 405, 314, 315, 17, 423, 426, 266, 396, 377, 369, 270, 322, 269, 413, 417, 464, 385, 386, 258, 248, 456, 419, 298, 284, 333, 168, 417, 8,\n 448, 346, 261, 417, 413, 285, 326, 327, 328, 277, 355, 329, 309, 392, 438, 381, 382, 256, 279, 429, 360, 365, 364, 379, 355, 277, 437, 282, 443, 283,\n 281, 275, 363, 395, 431, 369, 299, 297, 337, 335, 273, 321, 348, 450, 349, 359, 446, 467, 283, 293, 282, 250, 458, 462, 300, 276, 383, 292, 308, 325,\n 283, 276, 293, 264, 372, 447, 346, 352, 340, 354, 274, 19, 363, 456, 281, 426, 436, 425, 380, 381, 252, 267, 269, 393, 421, 200, 428, 371, 266, 329,\n 432, 287, 422, 290, 250, 328, 385, 258, 384, 446, 265, 342, 386, 387, 257, 422, 424, 430, 445, 342, 276, 422, 273, 424, 306, 292, 307, 352, 366, 345,\n 268, 271, 302, 358, 423, 371, 327, 294, 460, 331, 279, 294, 303, 271, 304, 436, 432, 427, 304, 272, 408, 395, 394, 431, 378, 395, 400, 296, 334, 299,\n 6, 351, 168, 376, 352, 411, 307, 325, 320, 285, 295, 336, 320, 319, 404, 329, 330, 349, 334, 293, 333, 366, 323, 447, 316, 15, 315, 331, 358, 279,\n 317, 14, 316, 8, 285, 9, 277, 329, 350, 253, 374, 252, 319, 318, 403, 351, 6, 419, 324, 318, 325, 397, 367, 365, 288, 435, 397, 278, 344, 439, 310,\n 272, 311, 248, 195, 281, 375, 273, 291, 175, 396, 199, 312, 311, 268, 276, 283, 445, 390, 373, 339, 295, 282, 296, 448, 449, 346, 356, 264, 454, 337,\n 336, 299, 337, 338, 151, 294, 278, 455, 308, 292, 415, 429, 358, 355, 265, 340, 372, 388, 390, 466, 352, 346, 280, 295, 442, 282, 354, 19, 370, 285,\n 441, 295, 195, 248, 197, 457, 440, 274, 301, 300, 368, 417, 351, 465, 251, 301, 389, 385, 380, 386, 394, 395, 379, 399, 412, 419, 410, 436, 322, 387,\n 373, 388, 326, 2, 393, 354, 370, 461, 393, 164, 267, 268, 302, 12, 386, 374, 387, 312, 268, 13, 298, 293, 301, 265, 446, 340, 380, 385, 381, 280, 330,\n 425, 322, 426, 391, 420, 429, 437, 393, 391, 326, 344, 440, 438, 458, 459, 461, 364, 434, 394, 428, 396, 262, 274, 354, 457, 317, 316, 402, 316, 315,\n 403, 315, 314, 404, 314, 313, 405, 313, 421, 406, 323, 366, 361, 292, 306, 407, 306, 291, 408, 291, 287, 409, 287, 432, 410, 427, 434, 411, 372, 264,\n 383, 459, 309, 457, 366, 352, 401, 1, 274, 4, 418, 421, 262, 331, 294, 358, 435, 433, 367, 392, 289, 439, 328, 462, 326, 94, 2, 370, 289, 305, 455, 339,\n 254, 448, 359, 255, 446, 254, 253, 449, 253, 252, 450, 252, 256, 451, 256, 341, 452, 414, 413, 463, 286, 441, 414, 286, 258, 441, 258, 257, 442, 257,\n 259, 443, 259, 260, 444, 260, 467, 445, 309, 459, 250, 305, 289, 290, 305, 290, 460, 401, 376, 435, 309, 250, 392, 376, 411, 433, 453, 341, 464, 357,\n 453, 465, 343, 357, 412, 437, 343, 399, 344, 360, 440, 420, 437, 456, 360, 420, 363, 361, 401, 288, 265, 372, 353, 390, 339, 249, 339, 448, 255];\n\nexport const TRI68 = [0, 1, 36, 0, 36, 17, 1, 2, 41, 1, 41, 36, 2, 3, 31, 2, 31, 41, 3, 4, 48, 3, 48, 31, 4, 5, 48, 5, 6, 48, 6, 7, 59, 6, 59, 48, 7, 8, 58, 7, 58, 59,\n 8, 9, 56, 8, 56, 57, 8, 57, 58, 9, 10, 55, 9, 55, 56, 10, 11, 54, 10, 54, 55, 11, 12, 54, 12, 13, 54, 13, 14, 35, 13, 35, 54, 14, 15, 46, 14, 46, 35, 15, 16,\n 45, 15, 45, 46, 16, 26, 45, 17, 36, 18, 18, 37, 19, 18, 36, 37, 19, 38, 20, 19, 37, 38, 20, 39, 21, 20, 38, 39, 21, 39, 27, 22, 42, 23, 22, 27, 42, 23, 43, 24,\n 23, 42, 43, 24, 44, 25, 24, 43, 44, 25, 45, 26, 25, 44, 45, 27, 39, 28, 27, 28, 42, 28, 39, 29, 28, 29, 42, 29, 31, 30, 29, 30, 35, 29, 40, 31, 29, 35, 47, 29,\n 39, 40, 29, 47, 42, 30, 31, 32, 30, 32, 33, 30, 33, 34, 30, 34, 35, 31, 50, 32, 31, 40, 41, 31, 48, 49, 31, 49, 50, 32, 51, 33, 32, 50, 51, 33, 51, 34, 34, 52,\n 35, 34, 51, 52, 35, 46, 47, 35, 52, 53, 35, 53, 54, 36, 41, 37, 37, 40, 38, 37, 41, 40, 38, 40, 39, 42, 47, 43, 43, 47, 44, 44, 46, 45, 44, 47, 46, 48, 60, 49,\n 48, 59, 60, 49, 61, 50, 49, 60, 61, 50, 62, 51, 50, 61, 62, 51, 62, 52, 52, 63, 53, 52, 62, 63, 53, 64, 54, 53, 63, 64, 54, 64, 55, 55, 65, 56, 55, 64, 65, 56,\n 66, 57, 56, 65, 66, 57, 66, 58, 58, 67, 59, 58, 66, 67, 59, 67, 60, 60, 67, 61, 61, 66, 62, 61, 67, 66, 62, 66, 63, 63, 65, 64, 63, 66, 65, 21, 27, 22];\n\nexport const TRI33 = [\n /* eyes */ 0, 8, 7, 7, 8, 1, 2, 10, 9, 9, 10, 3,\n /* brows */ 17, 0, 18, 18, 0, 7, 18, 7, 19, 19, 7, 1, 19, 1, 11, 19, 11, 20, 21, 3, 22, 21, 9, 3, 20, 9, 21, 20, 2, 9, 20, 11, 2,\n /* 4head */ 23, 17, 18, 25, 21, 22, 24, 19, 20, 24, 18, 19, 24, 20, 21, 24, 23, 18, 24, 21, 25,\n /* nose */ 11, 12, 4, 11, 4, 13, 1, 12, 11, 11, 13, 2, 12, 14, 4, 4, 14, 13,\n /* up-lip */ 14, 5, 15, 14, 15, 6, 12, 5, 14, 14, 6, 13,\n /* cheeks */ 8, 12, 1, 2, 13, 10, 8, 26, 12, 10, 13, 27, 26, 5, 12, 13, 6, 27, 0, 26, 8, 10, 27, 3,\n /* chin */ 5, 32, 16, 16, 32, 6, 5, 30, 32, 6, 32, 31,\n /* cont */ 26, 30, 5, 27, 6, 31, 0, 28, 26, 3, 27, 29, 17, 28, 0, 3, 29, 22, 23, 28, 17, 22, 29, 25, 28, 30, 26, 27, 31, 29,\n];\n\nexport const TRI7 = [0, 4, 1, 2, 4, 3, 4, 5, 6];\n\nexport const VTX68 = [\n /* cont */ 127, 234, 132, 58, 172, 150, 149, 148, 152, 377, 378, 379, 397, 288, 361, 454, 356,\n /* brows */ 70, 63, 105, 66, 107, 336, 296, 334, 293, 300,\n /* nose */ 168, 6, 195, 4, 98, 97, 2, 326, 327,\n /* eyes */ 33, 160, 158, 133, 153, 144, 362, 385, 387, 263, 373, 380,\n /* lip */ 57, 40, 37, 0, 267, 270, 287, 321, 314, 17, 84, 91,\n /* mouth */ 78, 81, 13, 311, 308, 402, 14, 178,\n];\n\nexport const VTX33 = [33, 133, 362, 263, 1, 62, 308, 159, 145, 386, 374, 6, 102, 331, 2, 13, 14, 70, 105, 107, 336, 334, 300, 54, 10, 284, 50, 280, 234, 454, 58, 288, 152];\n\nexport const VTX7 = [33, 133, 362, 263, 1, 78, 308];\n\nexport const UV68 = VTX68.map((x) => UV468[x]);\n\nexport const UV33 = VTX33.map((x) => UV468[x]);\n\nexport const UV7 = VTX7.map((x) => UV468[x]);\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as profile from '../profile';\n\nexport class FaceBoxes {\n enlarge: number;\n model: any;\n config: any;\n\n constructor(model, config) {\n this.enlarge = 1.1;\n this.model = model;\n this.config = config;\n }\n\n async estimateFaces(input, config) {\n if (config) this.config = config;\n const results: Array<{ confidence: number, box: any, boxRaw: any, image: any }> = [];\n const resizeT = tf.image.resizeBilinear(input, [this.config.face.detector.inputSize, this.config.face.detector.inputSize]);\n const castT = resizeT.toInt();\n let scores;\n let boxes;\n if (!config.profile) {\n const [scoresT, boxesT, numT] = await this.model.executeAsync(castT);\n scores = scoresT.dataSync();\n const squeezeT = boxesT.squeeze();\n boxes = squeezeT.arraySync();\n scoresT.dispose();\n boxesT.dispose();\n squeezeT.dispose();\n numT.dispose();\n } else {\n const profileData = await tf.profile(() => this.model.executeAsync(castT));\n scores = profileData.result[0].dataSync();\n const squeezeT = profileData.result[1].squeeze();\n boxes = squeezeT.arraySync();\n profileData.result.forEach((t) => t.dispose());\n profile.run('faceboxes', profileData);\n }\n castT.dispose();\n resizeT.dispose();\n for (const i in boxes) {\n if (scores[i] && scores[i] > this.config.face.detector.minConfidence) {\n const crop = [boxes[i][0] / this.enlarge, boxes[i][1] / this.enlarge, boxes[i][2] * this.enlarge, boxes[i][3] * this.enlarge];\n const boxRaw = [crop[1], crop[0], (crop[3]) - (crop[1]), (crop[2]) - (crop[0])];\n const box = [\n parseInt((boxRaw[0] * input.shape[2]).toString()),\n parseInt((boxRaw[1] * input.shape[1]).toString()),\n parseInt((boxRaw[2] * input.shape[2]).toString()),\n parseInt((boxRaw[3] * input.shape[1]).toString())];\n const resized = tf.image.cropAndResize(input, [crop], [0], [this.config.face.detector.inputSize, this.config.face.detector.inputSize]);\n const image = resized.div([255]);\n resized.dispose();\n results.push({ confidence: scores[i], box, boxRaw: this.config.face.mesh.returnRawData ? boxRaw : null, image });\n // add mesh, meshRaw, annotations,\n }\n }\n return results;\n }\n}\n\nexport async function load(config) {\n const model = await tf.loadGraphModel(config.face.detector.modelPath);\n log(`load model: ${config.face.detector.modelPath.match(/\\/(.*)\\./)[1]}`);\n const faceboxes = new FaceBoxes(model, config);\n if (config.face.mesh.enabled) log(`load model: ${config.face.mesh.modelPath.match(/\\/(.*)\\./)[1]}`);\n if (config.face.iris.enabled) log(`load model: ${config.face.iris.modelPath.match(/\\/(.*)\\./)[1]}`);\n return faceboxes;\n}\n", "import { log } from './log';\n\nexport const data = {};\n\nexport function run(name: string, raw: any) {\n if (!raw || !raw.kernels) return;\n const maxResults = 5;\n const time = raw.kernels\n .filter((a) => a.kernelTimeMs > 0)\n .reduce((a, b) => a += b.kernelTimeMs, 0);\n const slowest = raw.kernels\n .map((a, i) => { a.id = i; return a; })\n .filter((a) => a.kernelTimeMs > 0)\n .sort((a, b) => b.kernelTimeMs - a.kernelTimeMs);\n const largest = raw.kernels\n .map((a, i) => { a.id = i; return a; })\n .filter((a) => a.totalBytesSnapshot > 0)\n .sort((a, b) => b.totalBytesSnapshot - a.totalBytesSnapshot);\n if (slowest.length > maxResults) slowest.length = maxResults;\n if (largest.length > maxResults) largest.length = maxResults;\n const res = { newBytes: raw.newBytes, newTensors: raw.newTensors, peakBytes: raw.peakBytes, numKernelOps: raw.kernels.length, timeKernelOps: time, slowestKernelOps: slowest, largestKernelOps: largest };\n data[name] = res;\n log('Human profiler', name, res);\n}\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as profile from '../profile';\n\nlet model;\nlet last = { age: 0 };\nlet skipped = Number.MAX_SAFE_INTEGER;\n\nexport async function load(config) {\n if (!model) {\n model = await tf.loadGraphModel(config.face.age.modelPath);\n log(`load model: ${config.face.age.modelPath.match(/\\/(.*)\\./)[1]}`);\n }\n return model;\n}\n\nexport async function predict(image, config) {\n if (!model) return null;\n if ((skipped < config.face.age.skipFrames) && config.videoOptimized && last.age && (last.age > 0)) {\n skipped++;\n return last;\n }\n if (config.videoOptimized) skipped = 0;\n else skipped = Number.MAX_SAFE_INTEGER;\n return new Promise(async (resolve) => {\n /*\n const zoom = [0, 0]; // 0..1 meaning 0%..100%\n const box = [[\n (image.shape[1] * zoom[0]) / image.shape[1],\n (image.shape[2] * zoom[1]) / image.shape[2],\n (image.shape[1] - (image.shape[1] * zoom[0])) / image.shape[1],\n (image.shape[2] - (image.shape[2] * zoom[1])) / image.shape[2],\n ]];\n const resize = tf.image.cropAndResize(image, box, [0], [config.face.age.inputSize, config.face.age.inputSize]);\n */\n const resize = tf.image.resizeBilinear(image, [config.face.age.inputSize, config.face.age.inputSize], false);\n const enhance = tf.mul(resize, [255.0]);\n tf.dispose(resize);\n\n let ageT;\n const obj = { age: 0 };\n\n if (!config.profile) {\n if (config.face.age.enabled) ageT = await model.predict(enhance);\n } else {\n const profileAge = config.face.age.enabled ? await tf.profile(() => model.predict(enhance)) : {};\n ageT = profileAge.result.clone();\n profileAge.result.dispose();\n profile.run('age', profileAge);\n }\n enhance.dispose();\n\n if (ageT) {\n const data = ageT.dataSync();\n obj.age = Math.trunc(10 * data[0]) / 10;\n }\n ageT.dispose();\n\n last = obj;\n resolve(obj);\n });\n}\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as profile from '../profile';\n\nlet model;\nlet last = { gender: '' };\nlet skipped = Number.MAX_SAFE_INTEGER;\nlet alternative = false;\n\n// tuning values\nconst rgb = [0.2989, 0.5870, 0.1140]; // factors for red/green/blue colors when converting to grayscale\n\nexport async function load(config) {\n if (!model) {\n model = await tf.loadGraphModel(config.face.gender.modelPath);\n alternative = model.inputs[0].shape[3] === 1;\n log(`load model: ${config.face.gender.modelPath.match(/\\/(.*)\\./)[1]}`);\n }\n return model;\n}\n\nexport async function predict(image, config) {\n if (!model) return null;\n if ((skipped < config.face.gender.skipFrames) && config.videoOptimized && last.gender !== '') {\n skipped++;\n return last;\n }\n if (config.videoOptimized) skipped = 0;\n else skipped = Number.MAX_SAFE_INTEGER;\n return new Promise(async (resolve) => {\n const resize = tf.image.resizeBilinear(image, [config.face.gender.inputSize, config.face.gender.inputSize], false);\n let enhance;\n if (alternative) {\n enhance = tf.tidy(() => {\n const [red, green, blue] = tf.split(resize, 3, 3);\n const redNorm = tf.mul(red, rgb[0]);\n const greenNorm = tf.mul(green, rgb[1]);\n const blueNorm = tf.mul(blue, rgb[2]);\n const grayscale = tf.addN([redNorm, greenNorm, blueNorm]);\n return grayscale.sub(0.5).mul(2);\n });\n } else {\n enhance = tf.mul(resize, [255.0]);\n }\n tf.dispose(resize);\n\n let genderT;\n const obj = { gender: '', confidence: 0 };\n\n if (!config.profile) {\n if (config.face.gender.enabled) genderT = await model.predict(enhance);\n } else {\n const profileGender = config.face.gender.enabled ? await tf.profile(() => model.predict(enhance)) : {};\n genderT = profileGender.result.clone();\n profileGender.result.dispose();\n profile.run('gender', profileGender);\n }\n enhance.dispose();\n\n if (genderT) {\n const data = genderT.dataSync();\n if (alternative) {\n // returns two values 0..1, bigger one is prediction\n const confidence = Math.trunc(100 * Math.abs(data[0] - data[1])) / 100;\n if (confidence > config.face.gender.minConfidence) {\n obj.gender = data[0] > data[1] ? 'female' : 'male';\n obj.confidence = confidence;\n }\n } else {\n // returns one value 0..1, .5 is prediction threshold\n const confidence = Math.trunc(200 * Math.abs((data[0] - 0.5))) / 100;\n if (confidence > config.face.gender.minConfidence) {\n obj.gender = data[0] <= 0.5 ? 'female' : 'male';\n obj.confidence = Math.min(0.99, confidence);\n }\n }\n }\n genderT.dispose();\n\n last = obj;\n resolve(obj);\n });\n}\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as profile from '../profile';\n\nconst annotations = ['angry', 'disgust', 'fear', 'happy', 'sad', 'surprise', 'neutral'];\nlet model;\nlet last: Array<{ score: number, emotion: string }> = [];\nlet skipped = Number.MAX_SAFE_INTEGER;\n\n// tuning values\nconst rgb = [0.2989, 0.5870, 0.1140]; // factors for red/green/blue colors when converting to grayscale\nconst scale = 1; // score multiplication factor\n\nexport async function load(config) {\n if (!model) {\n model = await tf.loadGraphModel(config.face.emotion.modelPath);\n log(`load model: ${config.face.emotion.modelPath.match(/\\/(.*)\\./)[1]}`);\n }\n return model;\n}\n\nexport async function predict(image, config) {\n if (!model) return null;\n if ((skipped < config.face.emotion.skipFrames) && config.videoOptimized && (last.length > 0)) {\n skipped++;\n return last;\n }\n if (config.videoOptimized) skipped = 0;\n else skipped = Number.MAX_SAFE_INTEGER;\n return new Promise(async (resolve) => {\n /*\n const zoom = [0, 0]; // 0..1 meaning 0%..100%\n const box = [[\n (image.shape[1] * zoom[0]) / image.shape[1],\n (image.shape[2] * zoom[1]) / image.shape[2],\n (image.shape[1] - (image.shape[1] * zoom[0])) / image.shape[1],\n (image.shape[2] - (image.shape[2] * zoom[1])) / image.shape[2],\n ]];\n const resize = tf.image.cropAndResize(image, box, [0], [config.face.emotion.inputSize, config.face.emotion.inputSize]);\n */\n const resize = tf.image.resizeBilinear(image, [config.face.emotion.inputSize, config.face.emotion.inputSize], false);\n const [red, green, blue] = tf.split(resize, 3, 3);\n resize.dispose();\n // weighted rgb to grayscale: https://www.mathworks.com/help/matlab/ref/rgb2gray.html\n const redNorm = tf.mul(red, rgb[0]);\n const greenNorm = tf.mul(green, rgb[1]);\n const blueNorm = tf.mul(blue, rgb[2]);\n red.dispose();\n green.dispose();\n blue.dispose();\n const grayscale = tf.addN([redNorm, greenNorm, blueNorm]);\n redNorm.dispose();\n greenNorm.dispose();\n blueNorm.dispose();\n const normalize = tf.tidy(() => grayscale.sub(0.5).mul(2));\n grayscale.dispose();\n const obj: Array<{ score: number, emotion: string }> = [];\n if (config.face.emotion.enabled) {\n let data;\n if (!config.profile) {\n const emotionT = await model.predict(normalize);\n data = emotionT.dataSync();\n tf.dispose(emotionT);\n } else {\n const profileData = await tf.profile(() => model.predict(normalize));\n data = profileData.result.dataSync();\n profileData.result.dispose();\n profile.run('emotion', profileData);\n }\n for (let i = 0; i < data.length; i++) {\n if (scale * data[i] > config.face.emotion.minConfidence) obj.push({ score: Math.min(0.99, Math.trunc(100 * scale * data[i]) / 100), emotion: annotations[i] });\n }\n obj.sort((a, b) => b.score - a.score);\n }\n normalize.dispose();\n last = obj;\n resolve(obj);\n });\n}\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as profile from '../profile';\n\n// based on https://github.com/sirius-ai/MobileFaceNet_TF\n// model converted from https://github.com/sirius-ai/MobileFaceNet_TF/files/3551493/FaceMobileNet192_train_false.zip\n\nlet model;\n\nexport async function load(config) {\n if (!model) {\n model = await tf.loadGraphModel(config.face.embedding.modelPath);\n log(`load model: ${config.face.embedding.modelPath.match(/\\/(.*)\\./)[1]}`);\n }\n return model;\n}\n\nexport function simmilarity(embedding1, embedding2) {\n if (embedding1?.length !== embedding2?.length) return 0;\n // general minkowski distance\n // euclidean distance is limited case where order is 2\n const order = 2;\n const distance = 10.0 * ((embedding1.map((val, i) => (val - embedding2[i])).reduce((dist, diff) => dist + (diff ** order), 0) ** (1 / order)));\n return (Math.trunc(1000 * (1 - distance)) / 1000);\n}\n\nexport async function predict(image, config) {\n if (!model) return null;\n return new Promise(async (resolve) => {\n const resize = tf.image.resizeBilinear(image, [config.face.embedding.inputSize, config.face.embedding.inputSize], false);\n // const normalize = tf.tidy(() => resize.div(127.5).sub(0.5)); // this is -0.5...0.5 ???\n let data: Array<[]> = [];\n if (config.face.embedding.enabled) {\n if (!config.profile) {\n const embeddingT = await model.predict({ img_inputs: resize });\n data = [...embeddingT.dataSync()]; // convert object array to standard array\n tf.dispose(embeddingT);\n } else {\n const profileData = await tf.profile(() => model.predict({ img_inputs: resize }));\n data = [...profileData.result.dataSync()];\n profileData.result.dispose();\n profile.run('emotion', profileData);\n }\n }\n resize.dispose();\n // normalize.dispose();\n resolve(data);\n });\n}\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as modelBase from './modelBase';\nimport * as decodeMultiple from './decodeMultiple';\nimport * as decodePose from './decodePose';\nimport * as util from './util';\n\nasync function estimateMultiple(input, res, config) {\n return new Promise(async (resolve) => {\n const height = input.shape[1];\n const width = input.shape[2];\n const allTensorBuffers = await util.toTensorBuffers3D([res.heatmapScores, res.offsets, res.displacementFwd, res.displacementBwd]);\n const scoresBuffer = allTensorBuffers[0];\n const offsetsBuffer = allTensorBuffers[1];\n const displacementsFwdBuffer = allTensorBuffers[2];\n const displacementsBwdBuffer = allTensorBuffers[3];\n const poses = await decodeMultiple.decodeMultiplePoses(scoresBuffer, offsetsBuffer, displacementsFwdBuffer, displacementsBwdBuffer, config);\n const scaled = util.scaleAndFlipPoses(poses, [height, width], [config.body.inputSize, config.body.inputSize]);\n resolve(scaled);\n });\n}\n\nasync function estimateSingle(input, res, config) {\n return new Promise(async (resolve) => {\n const height = input.shape[1];\n const width = input.shape[2];\n const pose = await decodePose.decodeSinglePose(res.heatmapScores, res.offsets, config);\n const poses = [pose];\n const scaled = util.scaleAndFlipPoses(poses, [height, width], [config.body.inputSize, config.body.inputSize]);\n resolve(scaled);\n });\n}\n\nexport class PoseNet {\n baseModel: any;\n constructor(model) {\n this.baseModel = model;\n }\n\n async estimatePoses(input, config) {\n const resized = util.resizeTo(input, [config.body.inputSize, config.body.inputSize]);\n const res = this.baseModel.predict(resized, config);\n\n const poses = (config.body.maxDetections < 2) ? await estimateSingle(input, res, config) : await estimateMultiple(input, res, config);\n\n res.heatmapScores.dispose();\n res.offsets.dispose();\n res.displacementFwd.dispose();\n res.displacementBwd.dispose();\n resized.dispose();\n\n return poses;\n }\n\n dispose() {\n this.baseModel.dispose();\n }\n}\n\nexport async function load(config) {\n const model = await tf.loadGraphModel(config.body.modelPath);\n const mobilenet = new modelBase.BaseModel(model);\n log(`load model: ${config.body.modelPath.match(/\\/(.*)\\./)[1]}`);\n return new PoseNet(mobilenet);\n}\n", "import * as tf from '../../dist/tfjs.esm.js';\n\nconst imageNetMean = [-123.15, -115.90, -103.06];\n\nfunction nameOutputResultsMobileNet(results) {\n const [offsets, heatmap, displacementFwd, displacementBwd] = results;\n return { offsets, heatmap, displacementFwd, displacementBwd };\n}\n\nfunction nameOutputResultsResNet(results) {\n const [displacementFwd, displacementBwd, offsets, heatmap] = results;\n return { offsets, heatmap, displacementFwd, displacementBwd };\n}\n\nexport class BaseModel {\n model: any;\n constructor(model) {\n this.model = model;\n }\n\n predict(input, config) {\n return tf.tidy(() => {\n const asFloat = (config.body.modelType === 'ResNet') ? input.toFloat().add(imageNetMean) : input.toFloat().div(127.5).sub(1.0);\n const asBatch = asFloat.expandDims(0);\n const results = this.model.predict(asBatch);\n const results3d = results.map((y) => y.squeeze([0]));\n const namedResults = (config.body.modelType === 'ResNet') ? nameOutputResultsResNet(results3d) : nameOutputResultsMobileNet(results3d);\n return {\n heatmapScores: namedResults.heatmap.sigmoid(),\n offsets: namedResults.offsets,\n displacementFwd: namedResults.displacementFwd,\n displacementBwd: namedResults.displacementBwd,\n };\n });\n }\n\n dispose() {\n this.model.dispose();\n }\n}\n", "// algorithm based on Coursera Lecture from Algorithms, Part 1: https://www.coursera.org/learn/algorithms-part1/lecture/ZjoSM/heapsort\nfunction half(k) {\n return Math.floor(k / 2);\n}\nexport class MaxHeap {\n priorityQueue: any;\n numberOfElements: number;\n getElementValue: any;\n\n constructor(maxSize, getElementValue) {\n this.priorityQueue = new Array(maxSize);\n this.numberOfElements = -1;\n this.getElementValue = getElementValue;\n }\n\n enqueue(x) {\n this.priorityQueue[++this.numberOfElements] = x;\n this.swim(this.numberOfElements);\n }\n\n dequeue() {\n const max = this.priorityQueue[0];\n this.exchange(0, this.numberOfElements--);\n this.sink(0);\n this.priorityQueue[this.numberOfElements + 1] = null;\n return max;\n }\n\n empty() {\n return this.numberOfElements === -1;\n }\n\n size() {\n return this.numberOfElements + 1;\n }\n\n all() {\n return this.priorityQueue.slice(0, this.numberOfElements + 1);\n }\n\n max() {\n return this.priorityQueue[0];\n }\n\n swim(k) {\n while (k > 0 && this.less(half(k), k)) {\n this.exchange(k, half(k));\n k = half(k);\n }\n }\n\n sink(k) {\n while (2 * k <= this.numberOfElements) {\n let j = 2 * k;\n if (j < this.numberOfElements && this.less(j, j + 1)) j++;\n if (!this.less(k, j)) break;\n this.exchange(k, j);\n k = j;\n }\n }\n\n getValueAt(i) {\n return this.getElementValue(this.priorityQueue[i]);\n }\n\n less(i, j) {\n return this.getValueAt(i) < this.getValueAt(j);\n }\n\n exchange(i, j) {\n const t = this.priorityQueue[i];\n this.priorityQueue[i] = this.priorityQueue[j];\n this.priorityQueue[j] = t;\n }\n}\n", "import * as heapSort from './heapSort';\n\nfunction scoreIsMaximumInLocalWindow(keypointId, score, heatmapY, heatmapX, localMaximumRadius, scores) {\n const [height, width] = scores.shape;\n let localMaximum = true;\n const yStart = Math.max(heatmapY - localMaximumRadius, 0);\n const yEnd = Math.min(heatmapY + localMaximumRadius + 1, height);\n for (let yCurrent = yStart; yCurrent < yEnd; ++yCurrent) {\n const xStart = Math.max(heatmapX - localMaximumRadius, 0);\n const xEnd = Math.min(heatmapX + localMaximumRadius + 1, width);\n for (let xCurrent = xStart; xCurrent < xEnd; ++xCurrent) {\n if (scores.get(yCurrent, xCurrent, keypointId) > score) {\n localMaximum = false;\n break;\n }\n }\n if (!localMaximum) break;\n }\n return localMaximum;\n}\n\nexport function buildPartWithScoreQueue(scoreThreshold, localMaximumRadius, scores) {\n const [height, width, numKeypoints] = scores.shape;\n const queue = new heapSort.MaxHeap(height * width * numKeypoints, ({ score }) => score);\n for (let heatmapY = 0; heatmapY < height; ++heatmapY) {\n for (let heatmapX = 0; heatmapX < width; ++heatmapX) {\n for (let keypointId = 0; keypointId < numKeypoints; ++keypointId) {\n const score = scores.get(heatmapY, heatmapX, keypointId);\n // Only consider parts with score greater or equal to threshold as root candidates.\n if (score < scoreThreshold) continue;\n // Only consider keypoints whose score is maximum in a local window.\n if (scoreIsMaximumInLocalWindow(keypointId, score, heatmapY, heatmapX, localMaximumRadius, scores)) {\n queue.enqueue({ score, part: { heatmapY, heatmapX, id: keypointId } });\n }\n }\n }\n }\n return queue;\n}\n", "import * as keypoints from './keypoints';\nimport * as vectors from './vectors';\nimport * as decoders from './decoders';\n\nconst parentChildrenTuples = keypoints.poseChain.map(([parentJoinName, childJoinName]) => ([keypoints.partIds[parentJoinName], keypoints.partIds[childJoinName]]));\nconst parentToChildEdges = parentChildrenTuples.map(([, childJointId]) => childJointId);\nconst childToParentEdges = parentChildrenTuples.map(([parentJointId]) => parentJointId);\nfunction getDisplacement(edgeId, point, displacements) {\n const numEdges = displacements.shape[2] / 2;\n return {\n y: displacements.get(point.y, point.x, edgeId),\n x: displacements.get(point.y, point.x, numEdges + edgeId),\n };\n}\nfunction getStridedIndexNearPoint(point, outputStride, height, width) {\n return {\n y: vectors.clamp(Math.round(point.y / outputStride), 0, height - 1),\n x: vectors.clamp(Math.round(point.x / outputStride), 0, width - 1),\n };\n}\n\nfunction traverseToTargetKeypoint(edgeId, sourceKeypoint, targetKeypointId, scoresBuffer, offsets, outputStride, displacements, offsetRefineStep = 2) {\n const [height, width] = scoresBuffer.shape;\n // Nearest neighbor interpolation for the source->target displacements.\n const sourceKeypointIndices = getStridedIndexNearPoint(sourceKeypoint.position, outputStride, height, width);\n const displacement = getDisplacement(edgeId, sourceKeypointIndices, displacements);\n const displacedPoint = vectors.addVectors(sourceKeypoint.position, displacement);\n let targetKeypoint = displacedPoint;\n for (let i = 0; i < offsetRefineStep; i++) {\n const targetKeypointIndices = getStridedIndexNearPoint(targetKeypoint, outputStride, height, width);\n const offsetPoint = vectors.getOffsetPoint(targetKeypointIndices.y, targetKeypointIndices.x, targetKeypointId, offsets);\n targetKeypoint = vectors.addVectors({\n x: targetKeypointIndices.x * outputStride,\n y: targetKeypointIndices.y * outputStride,\n }, { x: offsetPoint.x, y: offsetPoint.y });\n }\n const targetKeyPointIndices = getStridedIndexNearPoint(targetKeypoint, outputStride, height, width);\n const score = scoresBuffer.get(targetKeyPointIndices.y, targetKeyPointIndices.x, targetKeypointId);\n return { position: targetKeypoint, part: keypoints.partNames[targetKeypointId], score };\n}\n\nexport function decodePose(root, scores, offsets, outputStride, displacementsFwd, displacementsBwd) {\n const numParts = scores.shape[2];\n const numEdges = parentToChildEdges.length;\n const instanceKeypoints = new Array(numParts);\n // Start a new detection instance at the position of the root.\n const { part: rootPart, score: rootScore } = root;\n const rootPoint = vectors.getImageCoords(rootPart, outputStride, offsets);\n instanceKeypoints[rootPart.id] = {\n score: rootScore,\n part: keypoints.partNames[rootPart.id],\n position: rootPoint,\n };\n // Decode the part positions upwards in the tree, following the backward displacements.\n for (let edge = numEdges - 1; edge >= 0; --edge) {\n const sourceKeypointId = parentToChildEdges[edge];\n const targetKeypointId = childToParentEdges[edge];\n if (instanceKeypoints[sourceKeypointId] && !instanceKeypoints[targetKeypointId]) {\n instanceKeypoints[targetKeypointId] = traverseToTargetKeypoint(edge, instanceKeypoints[sourceKeypointId], targetKeypointId, scores, offsets, outputStride, displacementsBwd);\n }\n }\n // Decode the part positions downwards in the tree, following the forward displacements.\n for (let edge = 0; edge < numEdges; ++edge) {\n const sourceKeypointId = childToParentEdges[edge];\n const targetKeypointId = parentToChildEdges[edge];\n if (instanceKeypoints[sourceKeypointId] && !instanceKeypoints[targetKeypointId]) {\n instanceKeypoints[targetKeypointId] = traverseToTargetKeypoint(edge, instanceKeypoints[sourceKeypointId], targetKeypointId, scores, offsets, outputStride, displacementsFwd);\n }\n }\n return instanceKeypoints;\n}\n\nexport async function decodeSinglePose(heatmapScores, offsets, config) {\n let totalScore = 0.0;\n const heatmapValues = decoders.argmax2d(heatmapScores);\n const allTensorBuffers = await Promise.all([heatmapScores.buffer(), offsets.buffer(), heatmapValues.buffer()]);\n const scoresBuffer = allTensorBuffers[0];\n const offsetsBuffer = allTensorBuffers[1];\n const heatmapValuesBuffer = allTensorBuffers[2];\n const offsetPoints = decoders.getOffsetPoints(heatmapValuesBuffer, config.body.outputStride, offsetsBuffer);\n const offsetPointsBuffer = await offsetPoints.buffer();\n const keypointConfidence = Array.from(decoders.getPointsConfidence(scoresBuffer, heatmapValuesBuffer));\n const instanceKeypoints = keypointConfidence.map((score, i) => {\n totalScore += score;\n return {\n position: {\n y: offsetPointsBuffer.get(i, 0),\n x: offsetPointsBuffer.get(i, 1),\n },\n part: keypoints.partNames[i],\n score,\n };\n });\n const filteredKeypoints = instanceKeypoints.filter((kpt) => kpt.score > config.body.scoreThreshold);\n heatmapValues.dispose();\n offsetPoints.dispose();\n return { keypoints: filteredKeypoints, score: totalScore / instanceKeypoints.length };\n}\n", "import * as kpt from './keypoints';\n\nexport function getOffsetPoint(y, x, keypoint, offsets) {\n return {\n y: offsets.get(y, x, keypoint),\n x: offsets.get(y, x, keypoint + kpt.NUM_KEYPOINTS),\n };\n}\n\nexport function getImageCoords(part, outputStride, offsets) {\n const { heatmapY, heatmapX, id: keypoint } = part;\n const { y, x } = getOffsetPoint(heatmapY, heatmapX, keypoint, offsets);\n return {\n x: part.heatmapX * outputStride + x,\n y: part.heatmapY * outputStride + y,\n };\n}\n\nexport function fillArray(element, size) {\n const result = new Array(size);\n for (let i = 0; i < size; i++) {\n result[i] = element;\n }\n return result;\n}\n\nexport function clamp(a, min, max) {\n if (a < min) return min;\n if (a > max) return max;\n return a;\n}\n\nexport function squaredDistance(y1, x1, y2, x2) {\n const dy = y2 - y1;\n const dx = x2 - x1;\n return dy * dy + dx * dx;\n}\n\nexport function addVectors(a, b) {\n return { x: a.x + b.x, y: a.y + b.y };\n}\n\nexport function clampVector(a, min, max) {\n return { y: clamp(a.y, min, max), x: clamp(a.x, min, max) };\n}\n", "import * as tf from '../../dist/tfjs.esm.js';\nimport * as kpt from './keypoints';\n\nexport function getPointsConfidence(heatmapScores, heatMapCoords) {\n const numKeypoints = heatMapCoords.shape[0];\n const result = new Float32Array(numKeypoints);\n for (let keypoint = 0; keypoint < numKeypoints; keypoint++) {\n const y = heatMapCoords.get(keypoint, 0);\n const x = heatMapCoords.get(keypoint, 1);\n result[keypoint] = heatmapScores.get(y, x, keypoint);\n }\n return result;\n}\n\nfunction getOffsetPoint(y, x, keypoint, offsetsBuffer) {\n return {\n y: offsetsBuffer.get(y, x, keypoint),\n x: offsetsBuffer.get(y, x, keypoint + kpt.NUM_KEYPOINTS),\n };\n}\n\nexport function getOffsetVectors(heatMapCoordsBuffer, offsetsBuffer) {\n const result: Array = [];\n for (let keypoint = 0; keypoint < kpt.NUM_KEYPOINTS; keypoint++) {\n const heatmapY = heatMapCoordsBuffer.get(keypoint, 0).valueOf();\n const heatmapX = heatMapCoordsBuffer.get(keypoint, 1).valueOf();\n const { x, y } = getOffsetPoint(heatmapY, heatmapX, keypoint, offsetsBuffer);\n result.push(y);\n result.push(x);\n }\n return tf.tensor2d(result, [kpt.NUM_KEYPOINTS, 2]);\n}\n\nexport function getOffsetPoints(heatMapCoordsBuffer, outputStride, offsetsBuffer) {\n return tf.tidy(() => heatMapCoordsBuffer.toTensor().mul(tf.scalar(outputStride, 'int32')).toFloat().add(getOffsetVectors(heatMapCoordsBuffer, offsetsBuffer)));\n}\n\nfunction mod(a, b) {\n return tf.tidy(() => {\n const floored = a.div(tf.scalar(b, 'int32'));\n return a.sub(floored.mul(tf.scalar(b, 'int32')));\n });\n}\n\nexport function argmax2d(inputs) {\n const [height, width, depth] = inputs.shape;\n return tf.tidy(() => {\n const reshaped = inputs.reshape([height * width, depth]);\n const coords = reshaped.argMax(0);\n const yCoords = coords.div(tf.scalar(width, 'int32')).expandDims(1);\n const xCoords = mod(coords, width).expandDims(1);\n return tf.concat([yCoords, xCoords], 1);\n });\n}\n", "import * as buildParts from './buildParts';\nimport * as decodePose from './decodePose';\nimport * as vectors from './vectors';\n\nconst kLocalMaximumRadius = 1;\n\nfunction withinNmsRadiusOfCorrespondingPoint(poses, squaredNmsRadius, { x, y }, keypointId) {\n return poses.some(({ keypoints }) => {\n const correspondingKeypoint = keypoints[keypointId].position;\n return vectors.squaredDistance(y, x, correspondingKeypoint.y, correspondingKeypoint.x) <= squaredNmsRadius;\n });\n}\n\nfunction getInstanceScore(existingPoses, squaredNmsRadius, instanceKeypoints) {\n const notOverlappedKeypointScores = instanceKeypoints.reduce((result, { position, score }, keypointId) => {\n if (!withinNmsRadiusOfCorrespondingPoint(existingPoses, squaredNmsRadius, position, keypointId)) result += score;\n return result;\n }, 0.0);\n return notOverlappedKeypointScores / instanceKeypoints.length;\n}\n\nexport function decodeMultiplePoses(scoresBuffer, offsetsBuffer, displacementsFwdBuffer, displacementsBwdBuffer, config) {\n const poses: Array<{ keypoints: any, score: number }> = [];\n const queue = buildParts.buildPartWithScoreQueue(config.body.scoreThreshold, kLocalMaximumRadius, scoresBuffer);\n const squaredNmsRadius = config.body.nmsRadius ^ 2;\n // Generate at most maxDetections object instances per image in decreasing root part score order.\n while (poses.length < config.body.maxDetections && !queue.empty()) {\n // The top element in the queue is the next root candidate.\n const root = queue.dequeue();\n // Part-based non-maximum suppression: We reject a root candidate if it is within a disk of `nmsRadius` pixels from the corresponding part of a previously detected instance.\n const rootImageCoords = vectors.getImageCoords(root.part, config.body.outputStride, offsetsBuffer);\n if (withinNmsRadiusOfCorrespondingPoint(poses, squaredNmsRadius, rootImageCoords, root.part.id)) continue;\n // Else start a new detection instance at the position of the root.\n const keypoints = decodePose.decodePose(root, scoresBuffer, offsetsBuffer, config.body.outputStride, displacementsFwdBuffer, displacementsBwdBuffer);\n const score = getInstanceScore(poses, squaredNmsRadius, keypoints);\n if (score > config.body.scoreThreshold) poses.push({ keypoints, score });\n }\n return poses;\n}\n", "import * as kpt from './keypoints';\n\nexport function eitherPointDoesntMeetConfidence(a, b, minConfidence) {\n return (a < minConfidence || b < minConfidence);\n}\n\nexport function getAdjacentKeyPoints(keypoints, minConfidence) {\n return kpt.connectedPartIndices.reduce((result, [leftJoint, rightJoint]) => {\n if (eitherPointDoesntMeetConfidence(keypoints[leftJoint].score, keypoints[rightJoint].score, minConfidence)) {\n return result;\n }\n result.push([keypoints[leftJoint], keypoints[rightJoint]]);\n return result;\n }, []);\n}\n\nconst { NEGATIVE_INFINITY, POSITIVE_INFINITY } = Number;\nexport function getBoundingBox(keypoints) {\n return keypoints.reduce(({ maxX, maxY, minX, minY }, { position: { x, y } }) => ({\n maxX: Math.max(maxX, x),\n maxY: Math.max(maxY, y),\n minX: Math.min(minX, x),\n minY: Math.min(minY, y),\n }), {\n maxX: NEGATIVE_INFINITY,\n maxY: NEGATIVE_INFINITY,\n minX: POSITIVE_INFINITY,\n minY: POSITIVE_INFINITY,\n });\n}\n\nexport function getBoundingBoxPoints(keypoints) {\n const { minX, minY, maxX, maxY } = getBoundingBox(keypoints);\n return [{ x: minX, y: minY }, { x: maxX, y: minY }, { x: maxX, y: maxY }, { x: minX, y: maxY }];\n}\n\nexport async function toTensorBuffers3D(tensors) {\n return Promise.all(tensors.map((tensor) => tensor.buffer()));\n}\n\nexport function scalePose(pose, scaleY, scaleX) {\n return {\n score: pose.score,\n keypoints: pose.keypoints.map(({ score, part, position }) => ({\n score,\n part,\n position: { x: position.x * scaleX, y: position.y * scaleY },\n })),\n };\n}\n\nexport function resizeTo(image, [targetH, targetW]) {\n const input = image.squeeze(0);\n const resized = input.resizeBilinear([targetH, targetW]);\n input.dispose();\n return resized;\n}\n\nexport function scaleAndFlipPoses(poses, [height, width], [inputResolutionHeight, inputResolutionWidth]) {\n const scaledPoses = poses.map((pose) => scalePose(pose, height / inputResolutionHeight, width / inputResolutionWidth));\n return scaledPoses;\n}\n", "// https://storage.googleapis.com/tfjs-models/demos/handpose/index.html\n\nimport { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as handdetector from './handdetector';\nimport * as handpipeline from './handpipeline';\nimport * as anchors from './anchors';\n\nconst MESH_ANNOTATIONS = {\n thumb: [1, 2, 3, 4],\n indexFinger: [5, 6, 7, 8],\n middleFinger: [9, 10, 11, 12],\n ringFinger: [13, 14, 15, 16],\n pinky: [17, 18, 19, 20],\n palmBase: [0],\n};\n\nexport class HandPose {\n handPipeline: any;\n\n constructor(handPipeline) {\n this.handPipeline = handPipeline;\n }\n\n static getAnnotations() {\n return MESH_ANNOTATIONS;\n }\n\n async estimateHands(input, config) {\n const predictions = await this.handPipeline.estimateHands(input, config);\n if (!predictions) return [];\n const hands: Array<{ confidence: number, box: any, landmarks: any, annotations: any }> = [];\n for (const prediction of predictions) {\n const annotations = {};\n if (prediction.landmarks) {\n for (const key of Object.keys(MESH_ANNOTATIONS)) {\n annotations[key] = MESH_ANNOTATIONS[key].map((index) => prediction.landmarks[index]);\n }\n }\n const box = prediction.box ? [\n Math.max(0, prediction.box.topLeft[0]),\n Math.max(0, prediction.box.topLeft[1]),\n Math.min(input.shape[2], prediction.box.bottomRight[0]) - prediction.box.topLeft[0],\n Math.min(input.shape[1], prediction.box.bottomRight[1]) - prediction.box.topLeft[1],\n ] : 0;\n hands.push({ confidence: prediction.confidence, box, landmarks: prediction.landmarks, annotations });\n }\n return hands;\n }\n}\n\nexport async function load(config) {\n const [handDetectorModel, handPoseModel] = await Promise.all([\n config.hand.enabled ? tf.loadGraphModel(config.hand.detector.modelPath, { fromTFHub: config.hand.detector.modelPath.includes('tfhub.dev') }) : null,\n config.hand.landmarks ? tf.loadGraphModel(config.hand.skeleton.modelPath, { fromTFHub: config.hand.skeleton.modelPath.includes('tfhub.dev') }) : null,\n ]);\n const handDetector = new handdetector.HandDetector(handDetectorModel, config.hand.inputSize, anchors.anchors);\n const handPipeline = new handpipeline.HandPipeline(handDetector, handPoseModel, config.hand.inputSize);\n const handPose = new HandPose(handPipeline);\n if (config.hand.enabled) log(`load model: ${config.hand.detector.modelPath.match(/\\/(.*)\\./)[1]}`);\n if (config.hand.landmarks) log(`load model: ${config.hand.skeleton.modelPath.match(/\\/(.*)\\./)[1]}`);\n return handPose;\n}\n", "import * as tf from '../../dist/tfjs.esm.js';\nimport * as box from './box';\n\nexport class HandDetector {\n model: any;\n anchors: any;\n anchorsTensor: any;\n inputSizeTensor: any;\n doubleInputSizeTensor: any;\n\n constructor(model, inputSize, anchorsAnnotated) {\n this.model = model;\n this.anchors = anchorsAnnotated.map((anchor) => [anchor.x_center, anchor.y_center]);\n this.anchorsTensor = tf.tensor2d(this.anchors);\n this.inputSizeTensor = tf.tensor1d([inputSize, inputSize]);\n this.doubleInputSizeTensor = tf.tensor1d([inputSize * 2, inputSize * 2]);\n }\n\n normalizeBoxes(boxes) {\n return tf.tidy(() => {\n const boxOffsets = tf.slice(boxes, [0, 0], [-1, 2]);\n const boxSizes = tf.slice(boxes, [0, 2], [-1, 2]);\n const boxCenterPoints = tf.add(tf.div(boxOffsets, this.inputSizeTensor), this.anchorsTensor);\n const halfBoxSizes = tf.div(boxSizes, this.doubleInputSizeTensor);\n const startPoints = tf.mul(tf.sub(boxCenterPoints, halfBoxSizes), this.inputSizeTensor);\n const endPoints = tf.mul(tf.add(boxCenterPoints, halfBoxSizes), this.inputSizeTensor);\n return tf.concat2d([startPoints, endPoints], 1);\n });\n }\n\n normalizeLandmarks(rawPalmLandmarks, index) {\n return tf.tidy(() => {\n const landmarks = tf.add(tf.div(rawPalmLandmarks.reshape([-1, 7, 2]), this.inputSizeTensor), this.anchors[index]);\n return tf.mul(landmarks, this.inputSizeTensor);\n });\n }\n\n async getBoxes(input, config) {\n const batched = this.model.predict(input);\n const predictions = batched.squeeze();\n batched.dispose();\n const scoresT = tf.tidy(() => tf.sigmoid(tf.slice(predictions, [0, 0], [-1, 1])).squeeze());\n const scores = scoresT.dataSync();\n const rawBoxes = tf.slice(predictions, [0, 1], [-1, 4]);\n const boxes = this.normalizeBoxes(rawBoxes);\n rawBoxes.dispose();\n const filteredT = await tf.image.nonMaxSuppressionAsync(boxes, scores, config.hand.maxHands, config.hand.iouThreshold, config.hand.scoreThreshold);\n const filtered = filteredT.arraySync();\n\n scoresT.dispose();\n filteredT.dispose();\n const hands: Array<{ box: any, palmLandmarks: any, confidence: number }> = [];\n for (const index of filtered) {\n if (scores[index] >= config.hand.minConfidence) {\n const matchingBox = tf.slice(boxes, [index, 0], [1, -1]);\n const rawPalmLandmarks = tf.slice(predictions, [index, 5], [1, 14]);\n const palmLandmarks = tf.tidy(() => this.normalizeLandmarks(rawPalmLandmarks, index).reshape([-1, 2]));\n rawPalmLandmarks.dispose();\n hands.push({ box: matchingBox, palmLandmarks, confidence: scores[index] });\n }\n }\n predictions.dispose();\n boxes.dispose();\n return hands;\n }\n\n async estimateHandBounds(input, config) {\n const inputHeight = input.shape[1];\n const inputWidth = input.shape[2];\n const image = tf.tidy(() => input.resizeBilinear([config.hand.inputSize, config.hand.inputSize]).div(127.5).sub(1));\n const predictions = await this.getBoxes(image, config);\n image.dispose();\n const hands: Array<{}> = [];\n if (!predictions || predictions.length === 0) return hands;\n for (const prediction of predictions) {\n const boxes = prediction.box.dataSync();\n const startPoint = boxes.slice(0, 2);\n const endPoint = boxes.slice(2, 4);\n const palmLandmarks = prediction.palmLandmarks.arraySync();\n prediction.box.dispose();\n prediction.palmLandmarks.dispose();\n hands.push(box.scaleBoxCoordinates({ startPoint, endPoint, palmLandmarks, confidence: prediction.confidence }, [inputWidth / config.hand.inputSize, inputHeight / config.hand.inputSize]));\n }\n return hands;\n }\n}\n", "import * as tf from '../../dist/tfjs.esm.js';\n\nexport function getBoxSize(box) {\n return [\n Math.abs(box.endPoint[0] - box.startPoint[0]),\n Math.abs(box.endPoint[1] - box.startPoint[1]),\n ];\n}\n\nexport function getBoxCenter(box) {\n return [\n box.startPoint[0] + (box.endPoint[0] - box.startPoint[0]) / 2,\n box.startPoint[1] + (box.endPoint[1] - box.startPoint[1]) / 2,\n ];\n}\n\nexport function cutBoxFromImageAndResize(box, image, cropSize) {\n const h = image.shape[1];\n const w = image.shape[2];\n const boxes = [[\n box.startPoint[1] / h,\n box.startPoint[0] / w,\n box.endPoint[1] / h,\n box.endPoint[0] / w,\n ]];\n return tf.image.cropAndResize(image, boxes, [0], cropSize);\n}\n\nexport function scaleBoxCoordinates(box, factor) {\n const startPoint = [box.startPoint[0] * factor[0], box.startPoint[1] * factor[1]];\n const endPoint = [box.endPoint[0] * factor[0], box.endPoint[1] * factor[1]];\n const palmLandmarks = box.palmLandmarks.map((coord) => {\n const scaledCoord = [coord[0] * factor[0], coord[1] * factor[1]];\n return scaledCoord;\n });\n return { startPoint, endPoint, palmLandmarks, confidence: box.confidence };\n}\n\nexport function enlargeBox(box, factor = 1.5) {\n const center = getBoxCenter(box);\n const size = getBoxSize(box);\n const newHalfSize = [factor * size[0] / 2, factor * size[1] / 2];\n const startPoint = [center[0] - newHalfSize[0], center[1] - newHalfSize[1]];\n const endPoint = [center[0] + newHalfSize[0], center[1] + newHalfSize[1]];\n return { startPoint, endPoint, palmLandmarks: box.palmLandmarks };\n}\n\nexport function squarifyBox(box) {\n const centers = getBoxCenter(box);\n const size = getBoxSize(box);\n const maxEdge = Math.max(...size);\n const halfSize = maxEdge / 2;\n const startPoint = [centers[0] - halfSize, centers[1] - halfSize];\n const endPoint = [centers[0] + halfSize, centers[1] + halfSize];\n return { startPoint, endPoint, palmLandmarks: box.palmLandmarks };\n}\n\nexport function shiftBox(box, shiftFactor) {\n const boxSize = [\n box.endPoint[0] - box.startPoint[0],\n box.endPoint[1] - box.startPoint[1],\n ];\n const shiftVector = [boxSize[0] * shiftFactor[0], boxSize[1] * shiftFactor[1]];\n const startPoint = [box.startPoint[0] + shiftVector[0], box.startPoint[1] + shiftVector[1]];\n const endPoint = [box.endPoint[0] + shiftVector[0], box.endPoint[1] + shiftVector[1]];\n return { startPoint, endPoint, palmLandmarks: box.palmLandmarks };\n}\n", "import * as tf from '../../dist/tfjs.esm.js';\nimport * as box from './box';\nimport * as util from './util';\n\n// const PALM_BOX_SHIFT_VECTOR = [0, -0.4];\nconst PALM_BOX_ENLARGE_FACTOR = 5; // default 3\n// const HAND_BOX_SHIFT_VECTOR = [0, -0.1]; // move detected hand box by x,y to ease landmark detection\nconst HAND_BOX_ENLARGE_FACTOR = 1.65; // default 1.65\nconst PALM_LANDMARK_IDS = [0, 5, 9, 13, 17, 1, 2];\nconst PALM_LANDMARKS_INDEX_OF_PALM_BASE = 0;\nconst PALM_LANDMARKS_INDEX_OF_MIDDLE_FINGER_BASE = 2;\n\nexport class HandPipeline {\n handDetector: any;\n landmarkDetector: any;\n inputSize: number;\n storedBoxes: any;\n skipped: number;\n detectedHands: number;\n\n constructor(handDetector, landmarkDetector, inputSize) {\n this.handDetector = handDetector;\n this.landmarkDetector = landmarkDetector;\n this.inputSize = inputSize;\n this.storedBoxes = [];\n this.skipped = 0;\n this.detectedHands = 0;\n }\n\n getBoxForPalmLandmarks(palmLandmarks, rotationMatrix) {\n const rotatedPalmLandmarks = palmLandmarks.map((coord) => util.rotatePoint([...coord, 1], rotationMatrix));\n const boxAroundPalm = this.calculateLandmarksBoundingBox(rotatedPalmLandmarks);\n // return box.enlargeBox(box.squarifyBox(box.shiftBox(boxAroundPalm, PALM_BOX_SHIFT_VECTOR)), PALM_BOX_ENLARGE_FACTOR);\n return box.enlargeBox(box.squarifyBox(boxAroundPalm), PALM_BOX_ENLARGE_FACTOR);\n }\n\n getBoxForHandLandmarks(landmarks) {\n const boundingBox = this.calculateLandmarksBoundingBox(landmarks);\n // const boxAroundHand = box.enlargeBox(box.squarifyBox(box.shiftBox(boundingBox, HAND_BOX_SHIFT_VECTOR)), HAND_BOX_ENLARGE_FACTOR);\n const boxAroundHand = box.enlargeBox(box.squarifyBox(boundingBox), HAND_BOX_ENLARGE_FACTOR);\n boxAroundHand.palmLandmarks = [];\n for (let i = 0; i < PALM_LANDMARK_IDS.length; i++) {\n boxAroundHand.palmLandmarks.push(landmarks[PALM_LANDMARK_IDS[i]].slice(0, 2));\n }\n return boxAroundHand;\n }\n\n transformRawCoords(rawCoords, box2, angle, rotationMatrix) {\n const boxSize = box.getBoxSize(box2);\n const scaleFactor = [boxSize[0] / this.inputSize, boxSize[1] / this.inputSize, (boxSize[0] + boxSize[1]) / this.inputSize / 2];\n const coordsScaled = rawCoords.map((coord) => [\n scaleFactor[0] * (coord[0] - this.inputSize / 2),\n scaleFactor[1] * (coord[1] - this.inputSize / 2),\n scaleFactor[2] * coord[2],\n ]);\n const coordsRotationMatrix = util.buildRotationMatrix(angle, [0, 0]);\n const coordsRotated = coordsScaled.map((coord) => {\n const rotated = util.rotatePoint(coord, coordsRotationMatrix);\n return [...rotated, coord[2]];\n });\n const inverseRotationMatrix = util.invertTransformMatrix(rotationMatrix);\n const boxCenter = [...box.getBoxCenter(box2), 1];\n const originalBoxCenter = [\n util.dot(boxCenter, inverseRotationMatrix[0]),\n util.dot(boxCenter, inverseRotationMatrix[1]),\n ];\n return coordsRotated.map((coord) => [\n coord[0] + originalBoxCenter[0],\n coord[1] + originalBoxCenter[1],\n coord[2],\n ]);\n }\n\n async estimateHands(image, config) {\n let useFreshBox = false;\n\n // run new detector every skipFrames unless we only want box to start with\n let boxes;\n if ((this.skipped === 0) || (this.skipped > config.hand.skipFrames) || !config.hand.landmarks || !config.videoOptimized) {\n boxes = await this.handDetector.estimateHandBounds(image, config);\n this.skipped = 0;\n }\n if (config.videoOptimized) this.skipped++;\n\n // if detector result count doesn't match current working set, use it to reset current working set\n if (boxes && (boxes.length > 0) && ((boxes.length !== this.detectedHands) && (this.detectedHands !== config.hand.maxHands) || !config.hand.landmarks)) {\n this.detectedHands = 0;\n this.storedBoxes = [...boxes];\n // for (const possible of boxes) this.storedBoxes.push(possible);\n if (this.storedBoxes.length > 0) useFreshBox = true;\n }\n const hands: Array<{}> = [];\n // log('hand', `skipped: ${this.skipped} max: ${config.hand.maxHands} detected: ${this.detectedHands} stored: ${this.storedBoxes.length} new: ${boxes?.length}`);\n\n // go through working set of boxes\n for (let i = 0; i < this.storedBoxes.length; i++) {\n const currentBox = this.storedBoxes[i];\n if (!currentBox) continue;\n if (config.hand.landmarks) {\n const angle = config.hand.rotation ? util.computeRotation(currentBox.palmLandmarks[PALM_LANDMARKS_INDEX_OF_PALM_BASE], currentBox.palmLandmarks[PALM_LANDMARKS_INDEX_OF_MIDDLE_FINGER_BASE]) : 0;\n const palmCenter = box.getBoxCenter(currentBox);\n const palmCenterNormalized = [palmCenter[0] / image.shape[2], palmCenter[1] / image.shape[1]];\n const rotatedImage = config.hand.rotation ? tf.image.rotateWithOffset(image, angle, 0, palmCenterNormalized) : image.clone();\n const rotationMatrix = util.buildRotationMatrix(-angle, palmCenter);\n const newBox = useFreshBox ? this.getBoxForPalmLandmarks(currentBox.palmLandmarks, rotationMatrix) : currentBox;\n const croppedInput = box.cutBoxFromImageAndResize(newBox, rotatedImage, [this.inputSize, this.inputSize]);\n const handImage = croppedInput.div(255);\n croppedInput.dispose();\n rotatedImage.dispose();\n const [confidenceT, keypoints] = await this.landmarkDetector.predict(handImage);\n handImage.dispose();\n const confidence = confidenceT.dataSync()[0];\n confidenceT.dispose();\n if (confidence >= config.hand.minConfidence) {\n const keypointsReshaped = tf.reshape(keypoints, [-1, 3]);\n const rawCoords = keypointsReshaped.arraySync();\n keypoints.dispose();\n keypointsReshaped.dispose();\n const coords = this.transformRawCoords(rawCoords, newBox, angle, rotationMatrix);\n const nextBoundingBox = this.getBoxForHandLandmarks(coords);\n this.storedBoxes[i] = nextBoundingBox;\n const result = {\n landmarks: coords,\n confidence,\n box: { topLeft: nextBoundingBox.startPoint, bottomRight: nextBoundingBox.endPoint },\n };\n hands.push(result);\n } else {\n this.storedBoxes[i] = null;\n }\n keypoints.dispose();\n } else {\n // const enlarged = box.enlargeBox(box.squarifyBox(box.shiftBox(currentBox, HAND_BOX_SHIFT_VECTOR)), HAND_BOX_ENLARGE_FACTOR);\n const enlarged = box.enlargeBox(box.squarifyBox(currentBox), HAND_BOX_ENLARGE_FACTOR);\n const result = {\n confidence: currentBox.confidence,\n box: { topLeft: enlarged.startPoint, bottomRight: enlarged.endPoint },\n };\n hands.push(result);\n }\n }\n this.storedBoxes = this.storedBoxes.filter((a) => a !== null);\n this.detectedHands = hands.length;\n return hands;\n }\n\n // eslint-disable-next-line class-methods-use-this\n calculateLandmarksBoundingBox(landmarks) {\n const xs = landmarks.map((d) => d[0]);\n const ys = landmarks.map((d) => d[1]);\n const startPoint = [Math.min(...xs), Math.min(...ys)];\n const endPoint = [Math.max(...xs), Math.max(...ys)];\n return { startPoint, endPoint };\n }\n}\n", "export function normalizeRadians(angle) {\n return angle - 2 * Math.PI * Math.floor((angle + Math.PI) / (2 * Math.PI));\n}\n\nexport function computeRotation(point1, point2) {\n const radians = Math.PI / 2 - Math.atan2(-(point2[1] - point1[1]), point2[0] - point1[0]);\n return normalizeRadians(radians);\n}\n\nexport const buildTranslationMatrix = (x, y) => [[1, 0, x], [0, 1, y], [0, 0, 1]];\n\nexport function dot(v1, v2) {\n let product = 0;\n for (let i = 0; i < v1.length; i++) {\n product += v1[i] * v2[i];\n }\n return product;\n}\n\nexport function getColumnFrom2DArr(arr, columnIndex) {\n const column: Array = [];\n for (let i = 0; i < arr.length; i++) {\n column.push(arr[i][columnIndex]);\n }\n return column;\n}\n\nexport function multiplyTransformMatrices(mat1, mat2) {\n const product: Array = [];\n const size = mat1.length;\n for (let row = 0; row < size; row++) {\n product.push([]);\n for (let col = 0; col < size; col++) {\n product[row].push(dot(mat1[row], getColumnFrom2DArr(mat2, col)));\n }\n }\n return product;\n}\n\nexport function buildRotationMatrix(rotation, center) {\n const cosA = Math.cos(rotation);\n const sinA = Math.sin(rotation);\n const rotationMatrix = [[cosA, -sinA, 0], [sinA, cosA, 0], [0, 0, 1]];\n const translationMatrix = buildTranslationMatrix(center[0], center[1]);\n const translationTimesRotation = multiplyTransformMatrices(translationMatrix, rotationMatrix);\n const negativeTranslationMatrix = buildTranslationMatrix(-center[0], -center[1]);\n return multiplyTransformMatrices(translationTimesRotation, negativeTranslationMatrix);\n}\n\nexport function invertTransformMatrix(matrix) {\n const rotationComponent = [[matrix[0][0], matrix[1][0]], [matrix[0][1], matrix[1][1]]];\n const translationComponent = [matrix[0][2], matrix[1][2]];\n const invertedTranslation = [\n -dot(rotationComponent[0], translationComponent),\n -dot(rotationComponent[1], translationComponent),\n ];\n return [\n rotationComponent[0].concat(invertedTranslation[0]),\n rotationComponent[1].concat(invertedTranslation[1]),\n [0, 0, 1],\n ];\n}\n\nexport function rotatePoint(homogeneousCoordinate, rotationMatrix) {\n return [\n dot(homogeneousCoordinate, rotationMatrix[0]),\n dot(homogeneousCoordinate, rotationMatrix[1]),\n ];\n}\n", "export const anchors = [\n {\n w: 1,\n h: 1,\n x_center: 0.015625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.015625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.046875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.046875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.078125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.078125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.109375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.109375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.140625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.140625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.171875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.171875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.203125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.203125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.234375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.234375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.265625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.265625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.296875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.296875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.328125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.328125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.359375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.359375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.390625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.390625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.421875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.421875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.453125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.453125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.484375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.484375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.515625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.515625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.546875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.546875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.578125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.578125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.609375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.609375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.640625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.640625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.671875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.671875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.703125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.703125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.734375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.734375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.765625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.765625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.796875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.796875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.828125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.828125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.859375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.859375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.890625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.890625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.921875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.921875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.953125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.953125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.984375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.984375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.015625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.015625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.046875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.046875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.078125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.078125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.109375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.109375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.140625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.140625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.171875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.171875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.203125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.203125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.234375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.234375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.265625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.265625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.296875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.296875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.328125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.328125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.359375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.359375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.390625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.390625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.421875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.421875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.453125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.453125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.484375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.484375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.515625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.515625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.546875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.546875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.578125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.578125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.609375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.609375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.640625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.640625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.671875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.671875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.703125,\n y_center: 0.046875,\n },\n {\n w: 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{\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.4375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.4375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.4375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.4375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.4375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.4375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.4375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.4375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.4375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.4375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.9375,\n },\n];\n", "export const body = (res) => {\n if (!res) return [];\n const gestures: Array<{ body: number, gesture: string }> = [];\n for (let i = 0; i < res.length; i++) {\n // raising hands\n const leftWrist = res[i].keypoints.find((a) => (a.part === 'leftWrist'));\n const rightWrist = res[i].keypoints.find((a) => (a.part === 'rightWrist'));\n const nose = res[i].keypoints.find((a) => (a.part === 'nose'));\n if (nose && leftWrist && rightWrist && (leftWrist.position.y < nose.position.y) && (rightWrist.position.y < nose.position.y)) gestures.push({ body: i, gesture: 'i give up' });\n else if (nose && leftWrist && (leftWrist.position.y < nose.position.y)) gestures.push({ body: i, gesture: 'raise left hand' });\n else if (nose && rightWrist && (rightWrist.position.y < nose.position.y)) gestures.push({ body: i, gesture: 'raise right hand' });\n\n // leaning\n const leftShoulder = res[i].keypoints.find((a) => (a.part === 'leftShoulder'));\n const rightShoulder = res[i].keypoints.find((a) => (a.part === 'rightShoulder'));\n if (leftShoulder && rightShoulder) gestures.push({ body: i, gesture: `leaning ${(leftShoulder.position.y > rightShoulder.position.y) ? 'left' : 'right'}` });\n }\n return gestures;\n};\n\nexport const face = (res) => {\n if (!res) return [];\n const gestures: Array<{ face: number, gesture: string }> = [];\n for (let i = 0; i < res.length; i++) {\n if (res[i].mesh && res[i].mesh.length > 0) {\n const eyeFacing = res[i].mesh[35][2] - res[i].mesh[263][2];\n if (Math.abs(eyeFacing) < 10) gestures.push({ face: i, gesture: 'facing camera' });\n else gestures.push({ face: i, gesture: `facing ${eyeFacing < 0 ? 'right' : 'left'}` });\n const openLeft = Math.abs(res[i].mesh[374][1] - res[i].mesh[386][1]) / Math.abs(res[i].mesh[443][1] - res[i].mesh[450][1]); // center of eye inner lid y coord div center of wider eye border y coord\n if (openLeft < 0.2) gestures.push({ face: i, gesture: 'blink left eye' });\n const openRight = Math.abs(res[i].mesh[145][1] - res[i].mesh[159][1]) / Math.abs(res[i].mesh[223][1] - res[i].mesh[230][1]); // center of eye inner lid y coord div center of wider eye border y coord\n if (openRight < 0.2) gestures.push({ face: i, gesture: 'blink right eye' });\n const mouthOpen = Math.min(100, 500 * Math.abs(res[i].mesh[13][1] - res[i].mesh[14][1]) / Math.abs(res[i].mesh[10][1] - res[i].mesh[152][1]));\n if (mouthOpen > 10) gestures.push({ face: i, gesture: `mouth ${Math.trunc(mouthOpen)}% open` });\n const chinDepth = res[i].mesh[152][2];\n if (Math.abs(chinDepth) > 10) gestures.push({ face: i, gesture: `head ${chinDepth < 0 ? 'up' : 'down'}` });\n }\n }\n return gestures;\n};\n\nexport const iris = (res) => {\n if (!res) return [];\n const gestures: Array<{ iris: number, gesture: string }> = [];\n for (let i = 0; i < res.length; i++) {\n if (!res[i].annotations || !res[i].annotations.leftEyeIris || !res[i].annotations.rightEyeIris) continue;\n const sizeXLeft = res[i].annotations.leftEyeIris[3][0] - res[i].annotations.leftEyeIris[1][0];\n const sizeYLeft = res[i].annotations.leftEyeIris[4][1] - res[i].annotations.leftEyeIris[2][1];\n const areaLeft = Math.abs(sizeXLeft * sizeYLeft);\n\n const sizeXRight = res[i].annotations.rightEyeIris[3][0] - res[i].annotations.rightEyeIris[1][0];\n const sizeYRight = res[i].annotations.rightEyeIris[4][1] - res[i].annotations.rightEyeIris[2][1];\n const areaRight = Math.abs(sizeXRight * sizeYRight);\n\n const difference = Math.abs(areaLeft - areaRight) / Math.max(areaLeft, areaRight);\n if (difference < 0.25) gestures.push({ iris: i, gesture: 'looking at camera' });\n }\n return gestures;\n};\n\nexport const hand = (res) => {\n if (!res) return [];\n const gestures: Array<{ hand: number, gesture: string }> = [];\n for (let i = 0; i < res.length; i++) {\n const fingers: Array<{ name: string, position: number }> = [];\n for (const [finger, pos] of Object.entries(res[i]['annotations'])) {\n // @ts-ignore\n if (finger !== 'palmBase') fingers.push({ name: finger.toLowerCase(), position: pos[0] }); // get tip of each finger\n }\n if (fingers && fingers.length > 0) {\n const closest = fingers.reduce((best, a) => (best.position[2] < a.position[2] ? best : a));\n const highest = fingers.reduce((best, a) => (best.position[1] < a.position[1] ? best : a));\n gestures.push({ hand: i, gesture: `${closest.name} forward ${highest.name} up` });\n }\n }\n return gestures;\n};\n", "// @ts-nocheck\n\nimport { log } from './log';\nimport * as tf from '../dist/tfjs.esm.js';\nimport * as fxImage from './imagefx';\n\n// internal temp canvases\nlet inCanvas = null;\nlet outCanvas = null;\n// instance of fximage\nlet fx = null;\n\n// process input image and return tensor\n// input can be tensor, imagedata, htmlimageelement, htmlvideoelement\n// input is resized and run through imagefx filter\nexport function process(input, config) {\n let tensor;\n if (input instanceof tf.Tensor) {\n tensor = tf.clone(input);\n } else {\n const originalWidth = input.naturalWidth || input.videoWidth || input.width || (input.shape && (input.shape[1] > 0));\n const originalHeight = input.naturalHeight || input.videoHeight || input.height || (input.shape && (input.shape[2] > 0));\n let targetWidth = originalWidth;\n let targetHeight = originalHeight;\n if (config.filter.width > 0) targetWidth = config.filter.width;\n else if (config.filter.height > 0) targetWidth = originalWidth * (config.filter.height / originalHeight);\n if (config.filter.height > 0) targetHeight = config.filter.height;\n else if (config.filter.width > 0) targetHeight = originalHeight * (config.filter.width / originalWidth);\n if (!targetWidth || !targetHeight) {\n log('Human: invalid input', input);\n return null;\n }\n if (!inCanvas || (inCanvas.width !== targetWidth) || (inCanvas.height !== targetHeight)) {\n inCanvas = (typeof OffscreenCanvas !== 'undefined') ? new OffscreenCanvas(targetWidth, targetHeight) : document.createElement('canvas');\n if (inCanvas.width !== targetWidth) inCanvas.width = targetWidth;\n if (inCanvas.height !== targetHeight) inCanvas.height = targetHeight;\n }\n const ctx = inCanvas.getContext('2d');\n if (input instanceof ImageData) ctx.putImageData(input, 0, 0);\n else ctx.drawImage(input, 0, 0, originalWidth, originalHeight, 0, 0, inCanvas.width, inCanvas.height);\n if (config.filter.enabled) {\n if (!fx || !outCanvas || (inCanvas.width !== outCanvas.width) || (inCanvas.height !== outCanvas.height)) {\n outCanvas = (typeof OffscreenCanvas !== 'undefined') ? new OffscreenCanvas(inCanvas.width, inCanvas.height) : document.createElement('canvas');\n if (outCanvas.width !== inCanvas.width) outCanvas.width = inCanvas.width;\n if (outCanvas.height !== inCanvas.height) outCanvas.height = inCanvas.height;\n log('created FX filter');\n fx = tf.ENV.flags.IS_BROWSER ? new fxImage.GLImageFilter({ canvas: outCanvas }) : null; // && (typeof document !== 'undefined')\n }\n if (!fx) return inCanvas;\n fx.reset();\n fx.addFilter('brightness', config.filter.brightness); // must have at least one filter enabled\n if (config.filter.contrast !== 0) fx.addFilter('contrast', config.filter.contrast);\n if (config.filter.sharpness !== 0) fx.addFilter('sharpen', config.filter.sharpness);\n if (config.filter.blur !== 0) fx.addFilter('blur', config.filter.blur);\n if (config.filter.saturation !== 0) fx.addFilter('saturation', config.filter.saturation);\n if (config.filter.hue !== 0) fx.addFilter('hue', config.filter.hue);\n if (config.filter.negative) fx.addFilter('negative');\n if (config.filter.sepia) fx.addFilter('sepia');\n if (config.filter.vintage) fx.addFilter('brownie');\n if (config.filter.sepia) fx.addFilter('sepia');\n if (config.filter.kodachrome) fx.addFilter('kodachrome');\n if (config.filter.technicolor) fx.addFilter('technicolor');\n if (config.filter.polaroid) fx.addFilter('polaroid');\n if (config.filter.pixelate !== 0) fx.addFilter('pixelate', config.filter.pixelate);\n fx.apply(inCanvas);\n // read pixel data\n /*\n const gl = outCanvas.getContext('webgl');\n if (gl) {\n const glBuffer = new Uint8Array(outCanvas.width * outCanvas.height * 4);\n const pixBuffer = new Uint8Array(outCanvas.width * outCanvas.height * 3);\n gl.readPixels(0, 0, outCanvas.width, outCanvas.height, gl.RGBA, gl.UNSIGNED_BYTE, glBuffer);\n // gl returns rbga while we only need rgb, so discarding alpha channel\n // gl returns starting point as lower left, so need to invert vertical\n let i = 0;\n for (let y = outCanvas.height - 1; y >= 0; y--) {\n for (let x = 0; x < outCanvas.width; x++) {\n const index = (x + y * outCanvas.width) * 4;\n pixBuffer[i++] = glBuffer[index + 0];\n pixBuffer[i++] = glBuffer[index + 1];\n pixBuffer[i++] = glBuffer[index + 2];\n }\n }\n outCanvas.data = pixBuffer;\n }\n */\n } else {\n outCanvas = inCanvas;\n if (fx) fx = null;\n }\n let pixels;\n if (outCanvas.data) {\n const shape = [outCanvas.height, outCanvas.width, 3];\n pixels = tf.tensor3d(outCanvas.data, shape, 'int32');\n } else if ((config.backend === 'webgl') || (outCanvas instanceof ImageData)) {\n // tf kernel-optimized method to get imagedata, also if input is imagedata, just use it\n pixels = tf.browser.fromPixels(outCanvas);\n } else {\n // cpu and wasm kernel does not implement efficient fromPixels method nor we can use canvas as-is, so we do a silly one more canvas\n const tempCanvas = (typeof OffscreenCanvas !== 'undefined') ? new OffscreenCanvas(targetWidth, targetHeight) : document.createElement('canvas');\n tempCanvas.width = targetWidth;\n tempCanvas.height = targetHeight;\n const tempCtx = tempCanvas.getContext('2d');\n tempCtx?.drawImage(outCanvas, 0, 0);\n const data = tempCtx?.getImageData(0, 0, targetWidth, targetHeight);\n pixels = tf.browser.fromPixels(data);\n }\n const casted = pixels.toFloat();\n tensor = casted.expandDims(0);\n pixels.dispose();\n casted.dispose();\n }\n return { tensor, canvas: config.filter.return ? outCanvas : null };\n}\n", "/*\nWebGLImageFilter - MIT Licensed\n2013, Dominic Szablewski - phoboslab.org\n\n*/\n\nfunction GLProgram(gl, vertexSource, fragmentSource) {\n const _collect = function (source, prefix, collection) {\n const r = new RegExp('\\\\b' + prefix + ' \\\\w+ (\\\\w+)', 'ig');\n source.replace(r, (match, name) => {\n collection[name] = 0;\n return match;\n });\n };\n\n const _compile = function (source, type) {\n const shader = gl.createShader(type);\n gl.shaderSource(shader, source);\n gl.compileShader(shader);\n if (!gl.getShaderParameter(shader, gl.COMPILE_STATUS)) {\n // @ts-ignore\n throw new Error('Filter: GL compile failed', gl.getShaderInfoLog(shader));\n }\n return shader;\n };\n\n this.uniform = {};\n this.attribute = {};\n const _vsh = _compile(vertexSource, gl.VERTEX_SHADER);\n const _fsh = _compile(fragmentSource, gl.FRAGMENT_SHADER);\n this.id = gl.createProgram();\n gl.attachShader(this.id, _vsh);\n gl.attachShader(this.id, _fsh);\n gl.linkProgram(this.id);\n\n if (!gl.getProgramParameter(this.id, gl.LINK_STATUS)) {\n // @ts-ignore\n throw new Error('Filter: GL link failed', gl.getProgramInfoLog(this.id));\n }\n\n gl.useProgram(this.id);\n // Collect attributes\n _collect(vertexSource, 'attribute', this.attribute);\n for (const a in this.attribute) this.attribute[a] = gl.getAttribLocation(this.id, a);\n // Collect uniforms\n _collect(vertexSource, 'uniform', this.uniform);\n _collect(fragmentSource, 'uniform', this.uniform);\n for (const u in this.uniform) this.uniform[u] = gl.getUniformLocation(this.id, u);\n}\n\n// export const GLImageFilter = function (params) {\nexport function GLImageFilter(params) {\n if (!params) params = { };\n let _drawCount = 0;\n let _sourceTexture = null;\n let _lastInChain = false;\n let _currentFramebufferIndex = -1;\n let _tempFramebuffers = [null, null];\n let _filterChain = [];\n let _width = -1;\n let _height = -1;\n let _vertexBuffer = null;\n let _currentProgram = null;\n const _filter = {};\n const _canvas = params.canvas || document.createElement('canvas');\n // key is the shader program source, value is the compiled program\n const _shaderProgramCache = { };\n const DRAW = { INTERMEDIATE: 1 };\n const gl = _canvas.getContext('webgl');\n if (!gl) throw new Error('Filter: getContext() failed');\n\n this.addFilter = function (name) {\n // eslint-disable-next-line prefer-rest-params\n const args = Array.prototype.slice.call(arguments, 1);\n const filter = _filter[name];\n _filterChain.push({ func: filter, args });\n };\n\n this.reset = function () {\n _filterChain = [];\n };\n\n const _resize = function (width, height) {\n // Same width/height? Nothing to do here\n if (width === _width && height === _height) { return; }\n _canvas.width = width;\n _width = width;\n _canvas.height = height;\n _height = height;\n // Create the context if we don't have it yet\n if (!_vertexBuffer) {\n // Create the vertex buffer for the two triangles [x, y, u, v] * 6\n const vertices = new Float32Array([\n -1, -1, 0, 1, 1, -1, 1, 1, -1, 1, 0, 0,\n -1, 1, 0, 0, 1, -1, 1, 1, 1, 1, 1, 0,\n ]);\n // eslint-disable-next-line no-unused-expressions\n (_vertexBuffer = gl.createBuffer(), gl.bindBuffer(gl.ARRAY_BUFFER, _vertexBuffer));\n gl.bufferData(gl.ARRAY_BUFFER, vertices, gl.STATIC_DRAW);\n gl.pixelStorei(gl.UNPACK_PREMULTIPLY_ALPHA_WEBGL, true);\n }\n gl.viewport(0, 0, _width, _height);\n // Delete old temp framebuffers\n _tempFramebuffers = [null, null];\n };\n\n const _createFramebufferTexture = function (width, height) {\n const fbo = gl.createFramebuffer();\n gl.bindFramebuffer(gl.FRAMEBUFFER, fbo);\n const renderbuffer = gl.createRenderbuffer();\n gl.bindRenderbuffer(gl.RENDERBUFFER, renderbuffer);\n const texture = gl.createTexture();\n gl.bindTexture(gl.TEXTURE_2D, texture);\n gl.texImage2D(gl.TEXTURE_2D, 0, gl.RGBA, width, height, 0, gl.RGBA, gl.UNSIGNED_BYTE, null);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MAG_FILTER, gl.LINEAR);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MIN_FILTER, gl.LINEAR);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_S, gl.CLAMP_TO_EDGE);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_T, gl.CLAMP_TO_EDGE);\n gl.framebufferTexture2D(gl.FRAMEBUFFER, gl.COLOR_ATTACHMENT0, gl.TEXTURE_2D, texture, 0);\n gl.bindTexture(gl.TEXTURE_2D, null);\n gl.bindFramebuffer(gl.FRAMEBUFFER, null);\n return { fbo, texture };\n };\n\n const _getTempFramebuffer = function (index) {\n // @ts-ignore\n _tempFramebuffers[index] = _tempFramebuffers[index] || _createFramebufferTexture(_width, _height);\n return _tempFramebuffers[index];\n };\n\n const _draw = function (flags = null) {\n let source = null;\n let target = null;\n let flipY = false;\n // Set up the source\n if (_drawCount === 0) {\n // First draw call - use the source texture\n source = _sourceTexture;\n } else {\n // All following draw calls use the temp buffer last drawn to\n // @ts-ignore\n source = _getTempFramebuffer(_currentFramebufferIndex)?.texture;\n }\n _drawCount++;\n // Set up the target\n if (_lastInChain && !(flags & DRAW.INTERMEDIATE)) {\n // Last filter in our chain - draw directly to the WebGL Canvas. We may\n // also have to flip the image vertically now\n target = null;\n flipY = _drawCount % 2 === 0;\n } else {\n // Intermediate draw call - get a temp buffer to draw to\n _currentFramebufferIndex = (_currentFramebufferIndex + 1) % 2;\n // @ts-ignore\n target = _getTempFramebuffer(_currentFramebufferIndex)?.fbo;\n }\n // Bind the source and target and draw the two triangles\n gl.bindTexture(gl.TEXTURE_2D, source);\n gl.bindFramebuffer(gl.FRAMEBUFFER, target);\n gl.uniform1f(_currentProgram.uniform.flipY, (flipY ? -1 : 1));\n gl.drawArrays(gl.TRIANGLES, 0, 6);\n };\n\n this.apply = function (image) {\n _resize(image.width, image.height);\n _drawCount = 0;\n // Create the texture for the input image if we haven't yet\n if (!_sourceTexture) _sourceTexture = gl.createTexture();\n gl.bindTexture(gl.TEXTURE_2D, _sourceTexture);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_S, gl.CLAMP_TO_EDGE);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_T, gl.CLAMP_TO_EDGE);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MIN_FILTER, gl.NEAREST);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MAG_FILTER, gl.NEAREST);\n gl.texImage2D(gl.TEXTURE_2D, 0, gl.RGBA, gl.RGBA, gl.UNSIGNED_BYTE, image);\n // No filters? Just draw\n if (_filterChain.length === 0) {\n // const program = _compileShader(SHADER.FRAGMENT_IDENTITY);\n _draw();\n return _canvas;\n }\n for (let i = 0; i < _filterChain.length; i++) {\n _lastInChain = (i === _filterChain.length - 1);\n const f = _filterChain[i];\n f.func.apply(this, f.args || []);\n }\n return _canvas;\n };\n\n const _compileShader = function (fragmentSource) {\n if (_shaderProgramCache[fragmentSource]) {\n _currentProgram = _shaderProgramCache[fragmentSource];\n gl.useProgram(_currentProgram.id);\n return _currentProgram;\n }\n // Compile shaders\n const SHADER = {};\n SHADER.VERTEX_IDENTITY = [\n 'precision highp float;',\n 'attribute vec2 pos;',\n 'attribute vec2 uv;',\n 'varying vec2 vUv;',\n 'uniform float flipY;',\n 'void main(void) {',\n 'vUv = uv;',\n 'gl_Position = vec4(pos.x, pos.y*flipY, 0.0, 1.);',\n '}',\n ].join('\\n');\n SHADER.FRAGMENT_IDENTITY = [\n 'precision highp float;',\n 'varying vec2 vUv;',\n 'uniform sampler2D texture;',\n 'void main(void) {',\n 'gl_FragColor = texture2D(texture, vUv);',\n '}',\n ].join('\\n');\n _currentProgram = new GLProgram(gl, SHADER.VERTEX_IDENTITY, fragmentSource);\n const floatSize = Float32Array.BYTES_PER_ELEMENT;\n const vertSize = 4 * floatSize;\n gl.enableVertexAttribArray(_currentProgram.attribute.pos);\n gl.vertexAttribPointer(_currentProgram.attribute.pos, 2, gl.FLOAT, false, vertSize, 0 * floatSize);\n gl.enableVertexAttribArray(_currentProgram.attribute.uv);\n gl.vertexAttribPointer(_currentProgram.attribute.uv, 2, gl.FLOAT, false, vertSize, 2 * floatSize);\n _shaderProgramCache[fragmentSource] = _currentProgram;\n return _currentProgram;\n };\n\n // -------------------------------------------------------------------------\n // Color Matrix Filter\n _filter.colorMatrix = function (matrix) {\n // Create a Float32 Array and normalize the offset component to 0-1\n const m = new Float32Array(matrix);\n m[4] /= 255;\n m[9] /= 255;\n m[14] /= 255;\n m[19] /= 255;\n // Can we ignore the alpha value? Makes things a bit faster.\n const shader = (m[18] === 1 && m[3] === 0 && m[8] === 0 && m[13] === 0 && m[15] === 0 && m[16] === 0 && m[17] === 0 && m[19] === 0)\n ? _filter.colorMatrix.SHADER.WITHOUT_ALPHA\n : _filter.colorMatrix.SHADER.WITH_ALPHA;\n const program = _compileShader(shader);\n gl.uniform1fv(program.uniform.m, m);\n _draw();\n };\n _filter.colorMatrix.SHADER = {};\n _filter.colorMatrix.SHADER.WITH_ALPHA = [\n 'precision highp float;',\n 'varying vec2 vUv;',\n 'uniform sampler2D texture;',\n 'uniform float m[20];',\n 'void main(void) {',\n 'vec4 c = texture2D(texture, vUv);',\n 'gl_FragColor.r = m[0] * c.r + m[1] * c.g + m[2] * c.b + m[3] * c.a + m[4];',\n 'gl_FragColor.g = m[5] * c.r + m[6] * c.g + m[7] * c.b + m[8] * c.a + m[9];',\n 'gl_FragColor.b = m[10] * c.r + m[11] * c.g + m[12] * c.b + m[13] * c.a + m[14];',\n 'gl_FragColor.a = m[15] * c.r + m[16] * c.g + m[17] * c.b + m[18] * c.a + m[19];',\n '}',\n ].join('\\n');\n _filter.colorMatrix.SHADER.WITHOUT_ALPHA = [\n 'precision highp float;',\n 'varying vec2 vUv;',\n 'uniform sampler2D texture;',\n 'uniform float m[20];',\n 'void main(void) {',\n 'vec4 c = texture2D(texture, vUv);',\n 'gl_FragColor.r = m[0] * c.r + m[1] * c.g + m[2] * c.b + m[4];',\n 'gl_FragColor.g = m[5] * c.r + m[6] * c.g + m[7] * c.b + m[9];',\n 'gl_FragColor.b = m[10] * c.r + m[11] * c.g + m[12] * c.b + m[14];',\n 'gl_FragColor.a = c.a;',\n '}',\n ].join('\\n');\n\n _filter.brightness = function (brightness) {\n const b = (brightness || 0) + 1;\n _filter.colorMatrix([\n b, 0, 0, 0, 0,\n 0, b, 0, 0, 0,\n 0, 0, b, 0, 0,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.saturation = function (amount) {\n const x = (amount || 0) * 2 / 3 + 1;\n const y = ((x - 1) * -0.5);\n _filter.colorMatrix([\n x, y, y, 0, 0,\n y, x, y, 0, 0,\n y, y, x, 0, 0,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.desaturate = function () {\n _filter.saturation(-1);\n };\n\n _filter.contrast = function (amount) {\n const v = (amount || 0) + 1;\n const o = -128 * (v - 1);\n\n _filter.colorMatrix([\n v, 0, 0, 0, o,\n 0, v, 0, 0, o,\n 0, 0, v, 0, o,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.negative = function () {\n _filter.contrast(-2);\n };\n\n _filter.hue = function (rotation) {\n rotation = (rotation || 0) / 180 * Math.PI;\n const cos = Math.cos(rotation);\n const sin = Math.sin(rotation);\n const lumR = 0.213;\n const lumG = 0.715;\n const lumB = 0.072;\n\n _filter.colorMatrix([\n lumR + cos * (1 - lumR) + sin * (-lumR), lumG + cos * (-lumG) + sin * (-lumG), lumB + cos * (-lumB) + sin * (1 - lumB), 0, 0,\n lumR + cos * (-lumR) + sin * (0.143), lumG + cos * (1 - lumG) + sin * (0.140), lumB + cos * (-lumB) + sin * (-0.283), 0, 0,\n lumR + cos * (-lumR) + sin * (-(1 - lumR)), lumG + cos * (-lumG) + sin * (lumG), lumB + cos * (1 - lumB) + sin * (lumB), 0, 0,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.desaturateLuminance = function () {\n _filter.colorMatrix([\n 0.2764723, 0.9297080, 0.0938197, 0, -37.1,\n 0.2764723, 0.9297080, 0.0938197, 0, -37.1,\n 0.2764723, 0.9297080, 0.0938197, 0, -37.1,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.sepia = function () {\n _filter.colorMatrix([\n 0.393, 0.7689999, 0.18899999, 0, 0,\n 0.349, 0.6859999, 0.16799999, 0, 0,\n 0.272, 0.5339999, 0.13099999, 0, 0,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.brownie = function () {\n _filter.colorMatrix([\n 0.5997023498159715, 0.34553243048391263, -0.2708298674538042, 0, 47.43192855600873,\n -0.037703249837783157, 0.8609577587992641, 0.15059552388459913, 0, -36.96841498319127,\n 0.24113635128153335, -0.07441037908422492, 0.44972182064877153, 0, -7.562075277591283,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.vintagePinhole = function () {\n _filter.colorMatrix([\n 0.6279345635605994, 0.3202183420819367, -0.03965408211312453, 0, 9.651285835294123,\n 0.02578397704808868, 0.6441188644374771, 0.03259127616149294, 0, 7.462829176470591,\n 0.0466055556782719, -0.0851232987247891, 0.5241648018700465, 0, 5.159190588235296,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.kodachrome = function () {\n _filter.colorMatrix([\n 1.1285582396593525, -0.3967382283601348, -0.03992559172921793, 0, 63.72958762196502,\n -0.16404339962244616, 1.0835251566291304, -0.05498805115633132, 0, 24.732407896706203,\n -0.16786010706155763, -0.5603416277695248, 1.6014850761964943, 0, 35.62982807460946,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.technicolor = function () {\n _filter.colorMatrix([\n 1.9125277891456083, -0.8545344976951645, -0.09155508482755585, 0, 11.793603434377337,\n -0.3087833385928097, 1.7658908555458428, -0.10601743074722245, 0, -70.35205161461398,\n -0.231103377548616, -0.7501899197440212, 1.847597816108189, 0, 30.950940869491138,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.polaroid = function () {\n _filter.colorMatrix([\n 1.438, -0.062, -0.062, 0, 0,\n -0.122, 1.378, -0.122, 0, 0,\n -0.016, -0.016, 1.483, 0, 0,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.shiftToBGR = function () {\n _filter.colorMatrix([\n 0, 0, 1, 0, 0,\n 0, 1, 0, 0, 0,\n 1, 0, 0, 0, 0,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n // -------------------------------------------------------------------------\n // Convolution Filter\n _filter.convolution = function (matrix) {\n const m = new Float32Array(matrix);\n const pixelSizeX = 1 / _width;\n const pixelSizeY = 1 / _height;\n const program = _compileShader(_filter.convolution.SHADER);\n gl.uniform1fv(program.uniform.m, m);\n gl.uniform2f(program.uniform.px, pixelSizeX, pixelSizeY);\n _draw();\n };\n\n _filter.convolution.SHADER = [\n 'precision highp float;',\n 'varying vec2 vUv;',\n 'uniform sampler2D texture;',\n 'uniform vec2 px;',\n 'uniform float m[9];',\n 'void main(void) {',\n 'vec4 c11 = texture2D(texture, vUv - px);', // top left\n 'vec4 c12 = texture2D(texture, vec2(vUv.x, vUv.y - px.y));', // top center\n 'vec4 c13 = texture2D(texture, vec2(vUv.x + px.x, vUv.y - px.y));', // top right\n 'vec4 c21 = texture2D(texture, vec2(vUv.x - px.x, vUv.y) );', // mid left\n 'vec4 c22 = texture2D(texture, vUv);', // mid center\n 'vec4 c23 = texture2D(texture, vec2(vUv.x + px.x, vUv.y) );', // mid right\n 'vec4 c31 = texture2D(texture, vec2(vUv.x - px.x, vUv.y + px.y) );', // bottom left\n 'vec4 c32 = texture2D(texture, vec2(vUv.x, vUv.y + px.y) );', // bottom center\n 'vec4 c33 = texture2D(texture, vUv + px );', // bottom right\n 'gl_FragColor = ',\n 'c11 * m[0] + c12 * m[1] + c22 * m[2] +',\n 'c21 * m[3] + c22 * m[4] + c23 * m[5] +',\n 'c31 * m[6] + c32 * m[7] + c33 * m[8];',\n 'gl_FragColor.a = c22.a;',\n '}',\n ].join('\\n');\n\n _filter.detectEdges = function () {\n _filter.convolution.call(this, [\n 0, 1, 0,\n 1, -4, 1,\n 0, 1, 0,\n ]);\n };\n\n _filter.sobelX = function () {\n _filter.convolution.call(this, [\n -1, 0, 1,\n -2, 0, 2,\n -1, 0, 1,\n ]);\n };\n\n _filter.sobelY = function () {\n _filter.convolution.call(this, [\n -1, -2, -1,\n 0, 0, 0,\n 1, 2, 1,\n ]);\n };\n\n _filter.sharpen = function (amount) {\n const a = amount || 1;\n _filter.convolution.call(this, [\n 0, -1 * a, 0,\n -1 * a, 1 + 4 * a, -1 * a,\n 0, -1 * a, 0,\n ]);\n };\n\n _filter.emboss = function (size) {\n const s = size || 1;\n _filter.convolution.call(this, [\n -2 * s, -1 * s, 0,\n -1 * s, 1, 1 * s,\n 0, 1 * s, 2 * s,\n ]);\n };\n\n // -------------------------------------------------------------------------\n // Blur Filter\n _filter.blur = function (size) {\n const blurSizeX = (size / 7) / _width;\n const blurSizeY = (size / 7) / _height;\n const program = _compileShader(_filter.blur.SHADER);\n // Vertical\n gl.uniform2f(program.uniform.px, 0, blurSizeY);\n _draw(DRAW.INTERMEDIATE);\n // Horizontal\n gl.uniform2f(program.uniform.px, blurSizeX, 0);\n _draw();\n };\n\n _filter.blur.SHADER = [\n 'precision highp float;',\n 'varying vec2 vUv;',\n 'uniform sampler2D texture;',\n 'uniform vec2 px;',\n 'void main(void) {',\n 'gl_FragColor = vec4(0.0);',\n 'gl_FragColor += texture2D(texture, vUv + vec2(-7.0*px.x, -7.0*px.y))*0.0044299121055113265;',\n 'gl_FragColor += texture2D(texture, vUv + vec2(-6.0*px.x, -6.0*px.y))*0.00895781211794;',\n 'gl_FragColor += texture2D(texture, vUv + vec2(-5.0*px.x, -5.0*px.y))*0.0215963866053;',\n 'gl_FragColor += texture2D(texture, vUv + vec2(-4.0*px.x, -4.0*px.y))*0.0443683338718;',\n 'gl_FragColor += texture2D(texture, vUv + vec2(-3.0*px.x, -3.0*px.y))*0.0776744219933;',\n 'gl_FragColor += texture2D(texture, vUv + vec2(-2.0*px.x, -2.0*px.y))*0.115876621105;',\n 'gl_FragColor += texture2D(texture, vUv + vec2(-1.0*px.x, -1.0*px.y))*0.147308056121;',\n 'gl_FragColor += texture2D(texture, vUv )*0.159576912161;',\n 'gl_FragColor += texture2D(texture, vUv + vec2( 1.0*px.x, 1.0*px.y))*0.147308056121;',\n 'gl_FragColor += texture2D(texture, vUv + vec2( 2.0*px.x, 2.0*px.y))*0.115876621105;',\n 'gl_FragColor += texture2D(texture, vUv + vec2( 3.0*px.x, 3.0*px.y))*0.0776744219933;',\n 'gl_FragColor += texture2D(texture, vUv + vec2( 4.0*px.x, 4.0*px.y))*0.0443683338718;',\n 'gl_FragColor += texture2D(texture, vUv + vec2( 5.0*px.x, 5.0*px.y))*0.0215963866053;',\n 'gl_FragColor += texture2D(texture, vUv + vec2( 6.0*px.x, 6.0*px.y))*0.00895781211794;',\n 'gl_FragColor += texture2D(texture, vUv + vec2( 7.0*px.x, 7.0*px.y))*0.0044299121055113265;',\n '}',\n ].join('\\n');\n\n // -------------------------------------------------------------------------\n // Pixelate Filter\n _filter.pixelate = function (size) {\n const blurSizeX = (size) / _width;\n const blurSizeY = (size) / _height;\n const program = _compileShader(_filter.pixelate.SHADER);\n // Horizontal\n gl.uniform2f(program.uniform.size, blurSizeX, blurSizeY);\n _draw();\n };\n\n _filter.pixelate.SHADER = [\n 'precision highp float;',\n 'varying vec2 vUv;',\n 'uniform vec2 size;',\n 'uniform sampler2D texture;',\n 'vec2 pixelate(vec2 coord, vec2 size) {',\n 'return floor( coord / size ) * size;',\n '}',\n 'void main(void) {',\n 'gl_FragColor = vec4(0.0);',\n 'vec2 coord = pixelate(vUv, size);',\n 'gl_FragColor += texture2D(texture, coord);',\n '}',\n ].join('\\n');\n}\n", "/* eslint-disable indent */\n/* eslint-disable no-multi-spaces */\n\nexport default {\n backend: 'webgl', // select tfjs backend to use\n wasmPath: '../assets/', // path for wasm binaries\n // only used for backend: wasm\n async: true, // execute enabled models in parallel\n // this disables per-model performance data but\n // slightly increases performance\n // cannot be used if profiling is enabled\n profile: false, // enable tfjs profiling\n // this has significant performance impact\n // only enable for debugging purposes\n // currently only implemented for age,gender,emotion models\n deallocate: false, // aggresively deallocate gpu memory after each usage\n // only valid for webgl backend and only during first call\n // cannot be changed unless library is reloaded\n // this has significant performance impact\n // only enable on low-memory devices\n scoped: false, // enable scoped runs\n // some models *may* have memory leaks,\n // this wrapps everything in a local scope at a cost of performance\n // typically not needed\n videoOptimized: true, // perform additional optimizations when input is video,\n // must be disabled for images\n // basically this skips object box boundary detection for every n frames\n // while maintaining in-box detection since objects cannot move that fast\n warmup: 'face', // what to use for human.warmup(), can be 'none', 'face', 'full'\n // warmup pre-initializes all models for faster inference but can take\n // significant time on startup\n filter: {\n enabled: true, // enable image pre-processing filters\n width: 0, // resize input width\n height: 0, // resize input height\n // if both width and height are set to 0, there is no resizing\n // if just one is set, second one is scaled automatically\n // if both are set, values are used as-is\n return: true, // return processed canvas imagedata in result\n brightness: 0, // range: -1 (darken) to 1 (lighten)\n contrast: 0, // range: -1 (reduce contrast) to 1 (increase contrast)\n sharpness: 0, // range: 0 (no sharpening) to 1 (maximum sharpening)\n blur: 0, // range: 0 (no blur) to N (blur radius in pixels)\n saturation: 0, // range: -1 (reduce saturation) to 1 (increase saturation)\n hue: 0, // range: 0 (no change) to 360 (hue rotation in degrees)\n negative: false, // image negative\n sepia: false, // image sepia colors\n vintage: false, // image vintage colors\n kodachrome: false, // image kodachrome colors\n technicolor: false, // image technicolor colors\n polaroid: false, // image polaroid camera effect\n pixelate: 0, // range: 0 (no pixelate) to N (number of pixels to pixelate)\n },\n\n gesture: {\n enabled: true, // enable simple gesture recognition\n },\n\n face: {\n enabled: true, // controls if specified modul is enabled\n // face.enabled is required for all face models:\n // detector, mesh, iris, age, gender, emotion\n // (note: module is not loaded until it is required)\n detector: {\n modelPath: '../models/blazeface-back.json', // can be 'blazeface-front', 'blazeface-front' or 'faceboxes'\n // 'blazeface-front' is blazeface model optimized for large faces such as front-facing camera\n // 'blazeface-back' is blazeface model optimized for smaller and/or distanct faces\n // 'faceboxes' is alternative model to 'blazeface\n inputSize: 256, // fixed value: 128 for front and 256 for 'back'\n rotation: false, // use best-guess rotated face image or just box with rotation as-is\n // false means higher performance, but incorrect mesh mapping if face angle is above 20 degrees\n maxFaces: 10, // maximum number of faces detected in the input\n // should be set to the minimum number for performance\n skipFrames: 11, // how many frames to go without re-running the face bounding box detector\n // only used for video inputs\n // e.g., if model is running st 25 FPS, we can re-use existing bounding\n // box for updated face analysis as the head probably hasn't moved much\n // in short time (10 * 1/25 = 0.25 sec)\n minConfidence: 0.5, // threshold for discarding a prediction\n iouThreshold: 0.2, // threshold for deciding whether boxes overlap too much in\n // non-maximum suppression (0.1 means drop if overlap 10%)\n scoreThreshold: 0.5, // threshold for deciding when to remove boxes based on score\n // in non-maximum suppression,\n // this is applied on detection objects only and before minConfidence\n },\n\n mesh: {\n enabled: true,\n modelPath: '../models/facemesh.json',\n inputSize: 192, // fixed value\n returnRawData: false, // in addition to standard mesh and box values, return raw normalized values as well\n },\n\n iris: {\n enabled: true,\n modelPath: '../models/iris.json',\n inputSize: 64, // fixed value\n },\n\n age: {\n enabled: true,\n modelPath: '../models/age-ssrnet-imdb.json', // can be 'age-ssrnet-imdb' or 'age-ssrnet-wiki'\n // which determines training set for model\n inputSize: 64, // fixed value\n skipFrames: 31, // how many frames to go without re-running the detector\n // only used for video inputs\n },\n\n gender: {\n enabled: true,\n minConfidence: 0.1, // threshold for discarding a prediction\n modelPath: '../models/gender-ssrnet-imdb.json', // can be 'gender', 'gender-ssrnet-imdb' or 'gender-ssrnet-wiki'\n inputSize: 64, // fixed value\n skipFrames: 41, // how many frames to go without re-running the detector\n // only used for video inputs\n },\n\n emotion: {\n enabled: true,\n inputSize: 64, // fixed value\n minConfidence: 0.2, // threshold for discarding a prediction\n skipFrames: 21, // how many frames to go without re-running the detector\n modelPath: '../models/emotion-large.json', // can be 'mini', 'large'\n },\n\n embedding: {\n enabled: false,\n inputSize: 112, // fixed value\n modelPath: '../models/mobilefacenet.json',\n },\n },\n\n body: {\n enabled: true,\n modelPath: '../models/posenet.json',\n inputSize: 257, // fixed value\n maxDetections: 10, // maximum number of people detected in the input\n // should be set to the minimum number for performance\n scoreThreshold: 0.5, // threshold for deciding when to remove boxes based on score\n // in non-maximum suppression\n nmsRadius: 20, // radius for deciding points are too close in non-maximum suppression\n outputStride: 16, // size of block in which to run point detectopn, smaller value means higher resolution\n // defined by model itself, can be 8, 16, or 32\n modelType: 'MobileNet', // Human includes MobileNet version, but you can switch to ResNet\n },\n\n hand: {\n enabled: true,\n rotation: false, // use best-guess rotated hand image or just box with rotation as-is\n // false means higher performance, but incorrect finger mapping if hand is inverted\n inputSize: 256, // fixed value\n skipFrames: 12, // how many frames to go without re-running the hand bounding box detector\n // only used for video inputs\n // e.g., if model is running st 25 FPS, we can re-use existing bounding\n // box for updated hand skeleton analysis as the hand probably\n // hasn't moved much in short time (10 * 1/25 = 0.25 sec)\n minConfidence: 0.1, // threshold for discarding a prediction\n iouThreshold: 0.1, // threshold for deciding whether boxes overlap too much\n // in non-maximum suppression\n scoreThreshold: 0.5, // threshold for deciding when to remove boxes based on\n // score in non-maximum suppression\n maxHands: 1, // maximum number of hands detected in the input\n // should be set to the minimum number for performance\n landmarks: true, // detect hand landmarks or just hand boundary box\n detector: {\n modelPath: '../models/handdetect.json',\n },\n skeleton: {\n modelPath: '../models/handskeleton.json',\n },\n },\n};\n", "// data:image/jpeg;base64,\nexport const face = 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+ "sourcesContent": ["// wrapper to load tfjs in a single place so version can be changed quickly\n\n// simplified\n// { modules: 1061, moduleBytes: 3772720, outputBytes: 1531035 }\n\n// export * from '@tensorflow/tfjs/dist/index.js';\n// export * from '@tensorflow/tfjs-backend-wasm';\n\n// modular\n// { modules: 1064, moduleBytes: 3793219, outputBytes: 1535600 }\n\n// get versions of all packages.\nimport * as packageBundle from '@tensorflow/tfjs/package.json';\nimport * as packageCore from '@tensorflow/tfjs-core/package.json';\nimport * as packageData from '@tensorflow/tfjs-data/package.json';\nimport * as packageLayers from '@tensorflow/tfjs-layers/package.json';\nimport * as packageConverter from '@tensorflow/tfjs-converter/package.json';\n// for backends, get version from source so it can register backend during import\nimport { version_cpu } from '@tensorflow/tfjs-backend-cpu/dist/index.js';\nimport { version_webgl } from '@tensorflow/tfjs-backend-webgl/dist/index.js';\nimport { version_wasm } from '@tensorflow/tfjs-backend-wasm/dist/index.js';\n\n// export all\nexport * from '@tensorflow/tfjs-core/dist/index.js';\nexport * from '@tensorflow/tfjs-layers/dist/index.js';\nexport * from '@tensorflow/tfjs-converter/dist/index.js';\nexport * as data from '@tensorflow/tfjs-data/dist/index.js';\nexport * from '@tensorflow/tfjs-backend-cpu/dist/index.js';\nexport * from '@tensorflow/tfjs-backend-webgl/dist/index.js';\nexport * from '@tensorflow/tfjs-backend-wasm/dist/index.js';\n\n// export versions\nexport const version = {\n tfjs: packageBundle.version,\n 'tfjs-core': packageCore.version,\n 'tfjs-data': packageData.version,\n 'tfjs-layers': packageLayers.version,\n 'tfjs-converter': packageConverter.version,\n 'tfjs-backend-cpu': version_cpu,\n 'tfjs-backend-webgl': version_webgl,\n 'tfjs-backend-wasm': version_wasm,\n};\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as blazeface from './blazeface';\nimport * as facepipeline from './facepipeline';\nimport * as coords from './coords';\n\nexport class MediaPipeFaceMesh {\n facePipeline: any;\n config: any;\n\n constructor(blazeFace, blazeMeshModel, irisModel, config) {\n this.facePipeline = new facepipeline.Pipeline(blazeFace, blazeMeshModel, irisModel, config);\n this.config = config;\n }\n\n async estimateFaces(input, config) {\n const predictions = await this.facePipeline.predict(input, config);\n const results: Array<{}> = [];\n for (const prediction of (predictions || [])) {\n if (prediction.isDisposedInternal) continue; // guard against disposed tensors on long running operations such as pause in middle of processing\n const mesh = prediction.coords ? prediction.coords.arraySync() : null;\n const meshRaw = prediction.rawCoords;\n const annotations = {};\n if (mesh && mesh.length > 0) {\n for (const key of Object.keys(coords.MESH_ANNOTATIONS)) {\n annotations[key] = coords.MESH_ANNOTATIONS[key].map((index) => mesh[index]);\n }\n }\n const boxRaw = (config.face.mesh.returnRawData && prediction.box) ? { topLeft: prediction.box.startPoint, bottomRight: prediction.box.endPoint } : null;\n const box = prediction.box ? [\n Math.max(0, prediction.box.startPoint[0]),\n Math.max(0, prediction.box.startPoint[1]),\n Math.min(input.shape[2], prediction.box.endPoint[0]) - prediction.box.startPoint[0],\n Math.min(input.shape[1], prediction.box.endPoint[1]) - prediction.box.startPoint[1],\n ] : 0;\n results.push({ confidence: prediction.confidence || 0, box, mesh, boxRaw, meshRaw, annotations, image: prediction.image ? tf.clone(prediction.image) : null });\n if (prediction.coords) prediction.coords.dispose();\n if (prediction.image) prediction.image.dispose();\n }\n return results;\n }\n}\n\nlet faceModels = [null, null, null];\nexport async function load(config) {\n // @ts-ignore\n faceModels = await Promise.all([\n (!faceModels[0] && config.face.enabled) ? blazeface.load(config) : null,\n (!faceModels[1] && config.face.mesh.enabled) ? tf.loadGraphModel(config.face.mesh.modelPath, { fromTFHub: config.face.mesh.modelPath.includes('tfhub.dev') }) : null,\n (!faceModels[2] && config.face.iris.enabled) ? tf.loadGraphModel(config.face.iris.modelPath, { fromTFHub: config.face.iris.modelPath.includes('tfhub.dev') }) : null,\n ]);\n const faceMesh = new MediaPipeFaceMesh(faceModels[0], faceModels[1], faceModels[2], config);\n if (config.face.mesh.enabled) log(`load model: ${config.face.mesh.modelPath.match(/\\/(.*)\\./)[1]}`);\n if (config.face.iris.enabled) log(`load model: ${config.face.iris.modelPath.match(/\\/(.*)\\./)[1]}`);\n return faceMesh;\n}\n\nexports.triangulation = coords.TRI468;\n", "export const partNames = [\n 'nose', 'leftEye', 'rightEye', 'leftEar', 'rightEar', 'leftShoulder',\n 'rightShoulder', 'leftElbow', 'rightElbow', 'leftWrist', 'rightWrist',\n 'leftHip', 'rightHip', 'leftKnee', 'rightKnee', 'leftAnkle', 'rightAnkle',\n];\n\nexport const NUM_KEYPOINTS = exports.partNames.length;\n\nexport const partIds = exports.partNames.reduce((result, jointName, i) => {\n result[jointName] = i;\n return result;\n}, {});\n\nconst connectedPartNames = [\n ['leftHip', 'leftShoulder'], ['leftElbow', 'leftShoulder'],\n ['leftElbow', 'leftWrist'], ['leftHip', 'leftKnee'],\n ['leftKnee', 'leftAnkle'], ['rightHip', 'rightShoulder'],\n ['rightElbow', 'rightShoulder'], ['rightElbow', 'rightWrist'],\n ['rightHip', 'rightKnee'], ['rightKnee', 'rightAnkle'],\n ['leftShoulder', 'rightShoulder'], ['leftHip', 'rightHip'],\n];\nexport const connectedPartIndices = connectedPartNames.map(([jointNameA, jointNameB]) => ([partIds[jointNameA], partIds[jointNameB]]));\n\nexport const poseChain = [\n ['nose', 'leftEye'], ['leftEye', 'leftEar'], ['nose', 'rightEye'],\n ['rightEye', 'rightEar'], ['nose', 'leftShoulder'],\n ['leftShoulder', 'leftElbow'], ['leftElbow', 'leftWrist'],\n ['leftShoulder', 'leftHip'], ['leftHip', 'leftKnee'],\n ['leftKnee', 'leftAnkle'], ['nose', 'rightShoulder'],\n ['rightShoulder', 'rightElbow'], ['rightElbow', 'rightWrist'],\n ['rightShoulder', 'rightHip'], ['rightHip', 'rightKnee'],\n ['rightKnee', 'rightAnkle'],\n];\n\nexport const partChannels = [\n 'left_face',\n 'right_face',\n 'right_upper_leg_front',\n 'right_lower_leg_back',\n 'right_upper_leg_back',\n 'left_lower_leg_front',\n 'left_upper_leg_front',\n 'left_upper_leg_back',\n 'left_lower_leg_back',\n 'right_feet',\n 'right_lower_leg_front',\n 'left_feet',\n 'torso_front',\n 'torso_back',\n 'right_upper_arm_front',\n 'right_upper_arm_back',\n 'right_lower_arm_back',\n 'left_lower_arm_front',\n 'left_upper_arm_front',\n 'left_upper_arm_back',\n 'left_lower_arm_back',\n 'right_hand',\n 'right_lower_arm_front',\n 'left_hand',\n];\n", "// helper function: wrapper around console output\nexport function log(...msg) {\n const dt = new Date();\n const ts = `${dt.getHours().toString().padStart(2, '0')}:${dt.getMinutes().toString().padStart(2, '0')}:${dt.getSeconds().toString().padStart(2, '0')}.${dt.getMilliseconds().toString().padStart(3, '0')}`;\n // eslint-disable-next-line no-console\n if (msg) console.log(ts, 'Human:', ...msg);\n}\n", "import { log } from './log';\nimport * as tf from '../dist/tfjs.esm.js';\nimport * as backend from './tfjs/backend';\nimport * as facemesh from './blazeface/facemesh';\nimport * as faceboxes from './faceboxes/faceboxes';\nimport * as age from './age/age';\nimport * as gender from './gender/gender';\nimport * as emotion from './emotion/emotion';\nimport * as embedding from './embedding/embedding';\nimport * as posenet from './posenet/posenet';\nimport * as handpose from './handpose/handpose';\nimport * as gesture from './gesture/gesture';\nimport * as image from './image';\nimport * as profile from './profile';\nimport * as config from '../config';\nimport * as sample from './sample';\nimport * as app from '../package.json';\n\n// helper function: gets elapsed time on both browser and nodejs\nconst now = () => {\n if (typeof performance !== 'undefined') return performance.now();\n return parseInt((Number(process.hrtime.bigint()) / 1000 / 1000).toString());\n};\n\n// helper function: perform deep merge of multiple objects so it allows full inheriance with overrides\nfunction mergeDeep(...objects) {\n const isObject = (obj) => obj && typeof obj === 'object';\n return objects.reduce((prev, obj) => {\n Object.keys(obj || {}).forEach((key) => {\n const pVal = prev[key];\n const oVal = obj[key];\n if (Array.isArray(pVal) && Array.isArray(oVal)) {\n prev[key] = pVal.concat(...oVal);\n } else if (isObject(pVal) && isObject(oVal)) {\n prev[key] = mergeDeep(pVal, oVal);\n } else {\n prev[key] = oVal;\n }\n });\n return prev;\n }, {});\n}\n\nclass Human {\n tf: any;\n package: any;\n version: string;\n config: any;\n fx: any;\n state: string;\n numTensors: number;\n analyzeMemoryLeaks: boolean;\n checkSanity: boolean;\n firstRun: boolean;\n perf: any;\n models: any;\n // models\n facemesh: any;\n age: any;\n gender: any;\n emotion: any;\n body: any;\n hand: any;\n\n constructor(userConfig = {}) {\n this.tf = tf;\n this.package = app;\n this.version = app.version;\n this.config = mergeDeep(config.default, userConfig);\n this.fx = null;\n this.state = 'idle';\n this.numTensors = 0;\n this.analyzeMemoryLeaks = false;\n this.checkSanity = false;\n this.firstRun = true;\n this.perf = {};\n // object that contains all initialized models\n this.models = {\n facemesh: null,\n posenet: null,\n handpose: null,\n iris: null,\n age: null,\n gender: null,\n emotion: null,\n };\n // export raw access to underlying models\n this.facemesh = facemesh;\n this.age = age;\n this.gender = gender;\n this.emotion = emotion;\n this.body = posenet;\n this.hand = handpose;\n }\n\n profile() {\n if (this.config.profile) return profile.data;\n return {};\n }\n\n // helper function: measure tensor leak\n analyze(...msg) {\n if (!this.analyzeMemoryLeaks) return;\n const current = this.tf.engine().state.numTensors;\n const previous = this.numTensors;\n this.numTensors = current;\n const leaked = current - previous;\n if (leaked !== 0) log(...msg, leaked);\n }\n\n // quick sanity check on inputs\n sanity(input) {\n if (!this.checkSanity) return null;\n if (!input) return 'input is not defined';\n if (this.tf.ENV.flags.IS_NODE && !(input instanceof this.tf.Tensor)) {\n return 'input must be a tensor';\n }\n try {\n this.tf.getBackend();\n } catch {\n return 'backend not loaded';\n }\n return null;\n }\n\n simmilarity(embedding1, embedding2) {\n if (this.config.face.embedding.enabled) return embedding.simmilarity(embedding1, embedding2);\n return 0;\n }\n\n // preload models, not explicitly required as it's done automatically on first use\n async load(userConfig = null) {\n this.state = 'load';\n const timeStamp = now();\n if (userConfig) this.config = mergeDeep(this.config, userConfig);\n\n if (this.firstRun) {\n log(`version: ${this.version} TensorFlow/JS version: ${this.tf.version_core}`);\n await this.checkBackend(true);\n if (this.tf.ENV.flags.IS_BROWSER) {\n log('configuration:', this.config);\n log('tf flags:', this.tf.ENV.flags);\n }\n }\n const face = this.config.face.detector.modelPath.includes('faceboxes') ? faceboxes : facemesh;\n if (this.config.async) {\n [\n this.models.face,\n this.models.age,\n this.models.gender,\n this.models.emotion,\n this.models.embedding,\n this.models.posenet,\n this.models.handpose,\n ] = await Promise.all([\n this.models.face || (this.config.face.enabled ? face.load(this.config) : null),\n this.models.age || ((this.config.face.enabled && this.config.face.age.enabled) ? age.load(this.config) : null),\n this.models.gender || ((this.config.face.enabled && this.config.face.gender.enabled) ? gender.load(this.config) : null),\n this.models.emotion || ((this.config.face.enabled && this.config.face.emotion.enabled) ? emotion.load(this.config) : null),\n this.models.embedding || ((this.config.face.enabled && this.config.face.embedding.enabled) ? embedding.load(this.config) : null),\n this.models.posenet || (this.config.body.enabled ? posenet.load(this.config) : null),\n this.models.handpose || (this.config.hand.enabled ? handpose.load(this.config) : null),\n ]);\n } else {\n if (this.config.face.enabled && !this.models.face) this.models.face = await face.load(this.config);\n if (this.config.face.enabled && this.config.face.age.enabled && !this.models.age) this.models.age = await age.load(this.config);\n if (this.config.face.enabled && this.config.face.gender.enabled && !this.models.gender) this.models.gender = await gender.load(this.config);\n if (this.config.face.enabled && this.config.face.emotion.enabled && !this.models.emotion) this.models.emotion = await emotion.load(this.config);\n if (this.config.face.enabled && this.config.face.embedding.enabled && !this.models.embedding) this.models.embedding = await embedding.load(this.config);\n if (this.config.body.enabled && !this.models.posenet) this.models.posenet = await posenet.load(this.config);\n if (this.config.hand.enabled && !this.models.handpose) this.models.handpose = await handpose.load(this.config);\n }\n\n if (this.firstRun) {\n log('tf engine state:', this.tf.engine().state.numBytes, 'bytes', this.tf.engine().state.numTensors, 'tensors');\n this.firstRun = false;\n }\n\n const current = Math.trunc(now() - timeStamp);\n if (current > (this.perf.load || 0)) this.perf.load = current;\n }\n\n // check if backend needs initialization if it changed\n async checkBackend(force = false) {\n if (this.config.backend && (this.config.backend !== '') && force || (this.tf.getBackend() !== this.config.backend)) {\n const timeStamp = now();\n this.state = 'backend';\n /* force backend reload\n if (this.config.backend in tf.engine().registry) {\n const backendFactory = tf.findBackendFactory(this.config.backend);\n tf.removeBackend(this.config.backend);\n tf.registerBackend(this.config.backend, backendFactory);\n } else {\n log('Backend not registred:', this.config.backend);\n }\n */\n\n log('setting backend:', this.config.backend);\n\n if (this.config.backend === 'wasm') {\n log('settings wasm path:', this.config.wasmPath);\n this.tf.setWasmPaths(this.config.wasmPath);\n const simd = await this.tf.env().getAsync('WASM_HAS_SIMD_SUPPORT');\n if (!simd) log('warning: wasm simd support is not enabled');\n }\n\n if (this.config.backend === 'humangl') backend.register();\n try {\n await this.tf.setBackend(this.config.backend);\n } catch (err) {\n log('error: cannot set backend:', this.config.backend, err);\n }\n this.tf.enableProdMode();\n /* debug mode is really too mcuh\n tf.enableDebugMode();\n */\n if (this.tf.getBackend() === 'webgl') {\n if (this.config.deallocate) {\n log('changing webgl: WEBGL_DELETE_TEXTURE_THRESHOLD:', this.config.deallocate);\n this.tf.ENV.set('WEBGL_DELETE_TEXTURE_THRESHOLD', this.config.deallocate ? 0 : -1);\n }\n this.tf.ENV.set('WEBGL_FORCE_F16_TEXTURES', true);\n this.tf.ENV.set('WEBGL_PACK_DEPTHWISECONV', true);\n const gl = await this.tf.backend().getGPGPUContext().gl;\n log(`gl version:${gl.getParameter(gl.VERSION)} renderer:${gl.getParameter(gl.RENDERER)}`);\n }\n await this.tf.ready();\n this.perf.backend = Math.trunc(now() - timeStamp);\n }\n }\n\n async detectFace(input) {\n // run facemesh, includes blazeface and iris\n // eslint-disable-next-line no-async-promise-executor\n let timeStamp;\n let ageRes;\n let genderRes;\n let emotionRes;\n let embeddingRes;\n const faceRes: Array<{ confidence: number, box: any, mesh: any, meshRaw: any, boxRaw: any, annotations: any, age: number, gender: string, genderConfidence: number, emotion: string, embedding: any, iris: number }> = [];\n this.state = 'run:face';\n timeStamp = now();\n const faces = await this.models.face?.estimateFaces(input, this.config);\n this.perf.face = Math.trunc(now() - timeStamp);\n for (const face of faces) {\n this.analyze('Get Face');\n\n // is something went wrong, skip the face\n if (!face.image || face.image.isDisposedInternal) {\n log('Face object is disposed:', face.image);\n continue;\n }\n\n // run age, inherits face from blazeface\n this.analyze('Start Age:');\n if (this.config.async) {\n ageRes = this.config.face.age.enabled ? age.predict(face.image, this.config) : {};\n } else {\n this.state = 'run:age';\n timeStamp = now();\n ageRes = this.config.face.age.enabled ? await age.predict(face.image, this.config) : {};\n this.perf.age = Math.trunc(now() - timeStamp);\n }\n\n // run gender, inherits face from blazeface\n this.analyze('Start Gender:');\n if (this.config.async) {\n genderRes = this.config.face.gender.enabled ? gender.predict(face.image, this.config) : {};\n } else {\n this.state = 'run:gender';\n timeStamp = now();\n genderRes = this.config.face.gender.enabled ? await gender.predict(face.image, this.config) : {};\n this.perf.gender = Math.trunc(now() - timeStamp);\n }\n\n // run emotion, inherits face from blazeface\n this.analyze('Start Emotion:');\n if (this.config.async) {\n emotionRes = this.config.face.emotion.enabled ? emotion.predict(face.image, this.config) : {};\n } else {\n this.state = 'run:emotion';\n timeStamp = now();\n emotionRes = this.config.face.emotion.enabled ? await emotion.predict(face.image, this.config) : {};\n this.perf.emotion = Math.trunc(now() - timeStamp);\n }\n this.analyze('End Emotion:');\n\n // run emotion, inherits face from blazeface\n this.analyze('Start Embedding:');\n if (this.config.async) {\n embeddingRes = this.config.face.embedding.enabled ? embedding.predict(face.image, this.config) : {};\n } else {\n this.state = 'run:embedding';\n timeStamp = now();\n embeddingRes = this.config.face.embedding.enabled ? await embedding.predict(face.image, this.config) : {};\n this.perf.embedding = Math.trunc(now() - timeStamp);\n }\n this.analyze('End Emotion:');\n\n // if async wait for results\n if (this.config.async) {\n [ageRes, genderRes, emotionRes, embeddingRes] = await Promise.all([ageRes, genderRes, emotionRes, embeddingRes]);\n }\n\n this.analyze('Finish Face:');\n\n // calculate iris distance\n // iris: array[ center, left, top, right, bottom]\n if (!this.config.face.iris.enabled && face?.annotations?.leftEyeIris && face?.annotations?.rightEyeIris) {\n delete face.annotations.leftEyeIris;\n delete face.annotations.rightEyeIris;\n }\n const irisSize = (face.annotations?.leftEyeIris && face.annotations?.rightEyeIris)\n /* average human iris size is 11.7mm */\n ? 11.7 * Math.max(Math.abs(face.annotations.leftEyeIris[3][0] - face.annotations.leftEyeIris[1][0]), Math.abs(face.annotations.rightEyeIris[4][1] - face.annotations.rightEyeIris[2][1]))\n : 0;\n\n // combine results\n faceRes.push({\n confidence: face.confidence,\n box: face.box,\n mesh: face.mesh,\n boxRaw: face.boxRaw,\n meshRaw: face.meshRaw,\n annotations: face.annotations,\n age: ageRes.age,\n gender: genderRes.gender,\n genderConfidence: genderRes.confidence,\n emotion: emotionRes,\n embedding: embeddingRes,\n iris: (irisSize !== 0) ? Math.trunc(irisSize) / 100 : 0,\n // image: face.image.toInt().squeeze(),\n });\n\n // dont need face anymore\n face.image?.dispose();\n this.analyze('End Face');\n }\n this.analyze('End FaceMesh:');\n if (this.config.async) {\n if (this.perf.face) delete this.perf.face;\n if (this.perf.age) delete this.perf.age;\n if (this.perf.gender) delete this.perf.gender;\n if (this.perf.emotion) delete this.perf.emotion;\n }\n return faceRes;\n }\n\n /*\n async processImage(input, userConfig = {}) {\n this.state = 'image';\n this.config = mergeDeep(this.config, userConfig);\n const process = image.process(input, this.config);\n process?.tensor?.dispose();\n return process?.canvas;\n }\n */\n\n // main detect function\n async detect(input, userConfig = {}) {\n // detection happens inside a promise\n return new Promise(async (resolve) => {\n this.state = 'config';\n let timeStamp;\n\n // update configuration\n this.config = mergeDeep(this.config, userConfig);\n\n // sanity checks\n this.state = 'check';\n const error = this.sanity(input);\n if (error) {\n log(error, input);\n resolve({ error });\n }\n\n let poseRes;\n let handRes;\n let faceRes;\n\n const timeStart = now();\n\n // configure backend\n await this.checkBackend();\n\n // load models if enabled\n await this.load();\n\n if (this.config.scoped) this.tf.engine().startScope();\n this.analyze('Start Scope:');\n\n timeStamp = now();\n const process = image.process(input, this.config);\n if (!process || !process.tensor) {\n log('could not convert input to tensor');\n resolve({ error: 'could not convert input to tensor' });\n return;\n }\n this.perf.image = Math.trunc(now() - timeStamp);\n this.analyze('Get Image:');\n\n // run face detection followed by all models that rely on face bounding box: face mesh, age, gender, emotion\n if (this.config.async) {\n faceRes = this.config.face.enabled ? this.detectFace(process.tensor) : [];\n if (this.perf.face) delete this.perf.face;\n } else {\n this.state = 'run:face';\n timeStamp = now();\n faceRes = this.config.face.enabled ? await this.detectFace(process.tensor) : [];\n this.perf.face = Math.trunc(now() - timeStamp);\n }\n\n // run posenet\n this.analyze('Start Body:');\n if (this.config.async) {\n poseRes = this.config.body.enabled ? this.models.posenet?.estimatePoses(process.tensor, this.config) : [];\n if (this.perf.body) delete this.perf.body;\n } else {\n this.state = 'run:body';\n timeStamp = now();\n poseRes = this.config.body.enabled ? await this.models.posenet?.estimatePoses(process.tensor, this.config) : [];\n this.perf.body = Math.trunc(now() - timeStamp);\n }\n this.analyze('End Body:');\n\n // run handpose\n this.analyze('Start Hand:');\n if (this.config.async) {\n handRes = this.config.hand.enabled ? this.models.handpose?.estimateHands(process.tensor, this.config) : [];\n if (this.perf.hand) delete this.perf.hand;\n } else {\n this.state = 'run:hand';\n timeStamp = now();\n handRes = this.config.hand.enabled ? await this.models.handpose?.estimateHands(process.tensor, this.config) : [];\n this.perf.hand = Math.trunc(now() - timeStamp);\n }\n this.analyze('End Hand:');\n\n // if async wait for results\n if (this.config.async) {\n [faceRes, poseRes, handRes] = await Promise.all([faceRes, poseRes, handRes]);\n }\n process.tensor.dispose();\n\n if (this.config.scoped) this.tf.engine().endScope();\n this.analyze('End Scope:');\n\n let gestureRes = [];\n if (this.config.gesture.enabled) {\n timeStamp = now();\n // @ts-ignore\n gestureRes = [...gesture.face(faceRes), ...gesture.body(poseRes), ...gesture.hand(handRes), ...gesture.iris(faceRes)];\n if (!this.config.async) this.perf.gesture = Math.trunc(now() - timeStamp);\n else if (this.perf.gesture) delete this.perf.gesture;\n }\n\n this.perf.total = Math.trunc(now() - timeStart);\n this.state = 'idle';\n resolve({ face: faceRes, body: poseRes, hand: handRes, gesture: gestureRes, performance: this.perf, canvas: process.canvas });\n });\n }\n\n async warmupBitmap() {\n const b64toBlob = (base64, type = 'application/octet-stream') => fetch(`data:${type};base64,${base64}`).then((res) => res.blob());\n let blob;\n let res;\n switch (this.config.warmup) {\n case 'face': blob = await b64toBlob(sample.face); break;\n case 'full': blob = await b64toBlob(sample.body); break;\n default: blob = null;\n }\n if (blob) {\n const bitmap = await createImageBitmap(blob);\n res = await this.detect(bitmap, this.config);\n bitmap.close();\n }\n return res;\n }\n\n async warmupCanvas() {\n return new Promise((resolve) => {\n let src;\n let size = 0;\n switch (this.config.warmup) {\n case 'face':\n size = 256;\n src = 'data:image/jpeg;base64,' + sample.face;\n break;\n case 'full':\n size = 1200;\n src = 'data:image/jpeg;base64,' + sample.body;\n break;\n default:\n src = null;\n }\n const img = new Image(size, size);\n img.onload = () => {\n const canvas = (typeof OffscreenCanvas !== 'undefined') ? new OffscreenCanvas(size, size) : document.createElement('canvas');\n canvas.width = size;\n canvas.height = size;\n const ctx = canvas.getContext('2d');\n ctx?.drawImage(img, 0, 0);\n const data = ctx?.getImageData(0, 0, size, size);\n this.detect(data, this.config).then((res) => resolve(res));\n };\n if (src) img.src = src;\n else resolve(null);\n });\n }\n\n async warmupNode() {\n const atob = (str) => Buffer.from(str, 'base64');\n const img = this.config.warmup === 'face' ? atob(sample.face) : atob(sample.body);\n // @ts-ignore\n const data = tf.node.decodeJpeg(img); // tf.node is only defined when compiling for nodejs\n const expanded = data.expandDims(0);\n this.tf.dispose(data);\n // log('Input:', expanded);\n const res = await this.detect(expanded, this.config);\n this.tf.dispose(expanded);\n return res;\n }\n\n async warmup(userConfig) {\n const t0 = now();\n if (userConfig) this.config = mergeDeep(this.config, userConfig);\n const video = this.config.videoOptimized;\n this.config.videoOptimized = false;\n let res;\n if (typeof createImageBitmap === 'function') res = await this.warmupBitmap();\n else if (typeof Image !== 'undefined') res = await this.warmupCanvas();\n else res = await this.warmupNode();\n this.config.videoOptimized = video;\n const t1 = now();\n log('Warmup', this.config.warmup, Math.round(t1 - t0), 'ms', res);\n return res;\n }\n}\n\nexport { Human as default };\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\n\nexport const config = {\n name: 'humangl',\n priority: 99,\n canvas: null,\n gl: null,\n width: 1024,\n height: 1024,\n webGLattr: { // https://www.khronos.org/registry/webgl/specs/latest/1.0/#5.2\n alpha: false,\n antialias: false,\n premultipliedAlpha: false,\n preserveDrawingBuffer: false,\n depth: false,\n stencil: false,\n failIfMajorPerformanceCaveat: false,\n desynchronized: true,\n },\n};\n\nexport function register() {\n if (!tf.findBackend(config.name)) {\n log('backend registration:', config.name);\n try {\n // @ts-ignore\n config.canvas = (typeof OffscreenCanvas !== 'undefined') ? new OffscreenCanvas(config.width, config.height) : document.createElement('canvas');\n } catch (err) {\n log('error: cannot create canvas:', err);\n return;\n }\n try {\n // @ts-ignore\n config.gl = config.canvas.getContext('webgl2', config.webGLattr);\n } catch (err) {\n log('error: cannot get WebGL2 context:', err);\n return;\n }\n try {\n tf.setWebGLContext(2, config.gl);\n } catch (err) {\n log('error: cannot set WebGL2 context:', err);\n return;\n }\n try {\n const ctx = new tf.GPGPUContext(config.gl);\n tf.registerBackend(config.name, () => new tf.MathBackendWebGL(ctx), config.priority);\n } catch (err) {\n log('error: cannot register WebGL backend:', err);\n return;\n }\n try {\n const kernels = tf.getKernelsForBackend('webgl');\n kernels.forEach((kernelConfig) => {\n const newKernelConfig = { ...kernelConfig, backendName: config.name };\n tf.registerKernel(newKernelConfig);\n });\n } catch (err) {\n log('error: cannot update WebGL backend registration:', err);\n return;\n }\n try {\n tf.ENV.set('WEBGL_VERSION', 2);\n // @ts-ignore\n tf.ENV.set('WEBGL_MAX_TEXTURE_SIZE', config.gl.getParameter(config.gl.MAX_TEXTURE_SIZE));\n tf.ENV.set('WEBGL_FORCE_F16_TEXTURES', true);\n tf.ENV.set('WEBGL_PACK_DEPTHWISECONV', true);\n } catch (err) {\n log('error: cannot set WebGL backend flags:', err);\n return;\n }\n log('backend registered:', config.name);\n }\n}\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\n\nconst NUM_LANDMARKS = 6;\n\nfunction generateAnchors(inputSize) {\n const spec = { strides: [inputSize / 16, inputSize / 8], anchors: [2, 6] };\n const anchors: Array<[number, number]> = [];\n for (let i = 0; i < spec.strides.length; i++) {\n const stride = spec.strides[i];\n const gridRows = Math.floor((inputSize + stride - 1) / stride);\n const gridCols = Math.floor((inputSize + stride - 1) / stride);\n const anchorsNum = spec.anchors[i];\n for (let gridY = 0; gridY < gridRows; gridY++) {\n const anchorY = stride * (gridY + 0.5);\n for (let gridX = 0; gridX < gridCols; gridX++) {\n const anchorX = stride * (gridX + 0.5);\n for (let n = 0; n < anchorsNum; n++) {\n anchors.push([anchorX, anchorY]);\n }\n }\n }\n }\n return anchors;\n}\n\nexport const disposeBox = (box) => {\n box.startEndTensor.dispose();\n box.startPoint.dispose();\n box.endPoint.dispose();\n};\n\nconst createBox = (startEndTensor) => ({\n startEndTensor,\n startPoint: tf.slice(startEndTensor, [0, 0], [-1, 2]),\n endPoint: tf.slice(startEndTensor, [0, 2], [-1, 2]),\n});\n\nfunction decodeBounds(boxOutputs, anchors, inputSize) {\n const boxStarts = tf.slice(boxOutputs, [0, 1], [-1, 2]);\n const centers = tf.add(boxStarts, anchors);\n const boxSizes = tf.slice(boxOutputs, [0, 3], [-1, 2]);\n const boxSizesNormalized = tf.div(boxSizes, inputSize);\n const centersNormalized = tf.div(centers, inputSize);\n const halfBoxSize = tf.div(boxSizesNormalized, 2);\n const starts = tf.sub(centersNormalized, halfBoxSize);\n const ends = tf.add(centersNormalized, halfBoxSize);\n const startNormalized = tf.mul(starts, inputSize);\n const endNormalized = tf.mul(ends, inputSize);\n const concatAxis = 1;\n return tf.concat2d([startNormalized, endNormalized], concatAxis);\n}\n\nexport class BlazeFaceModel {\n blazeFaceModel: any;\n width: number;\n height: number;\n anchorsData: any;\n anchors: any;\n inputSize: number;\n config: any;\n scaleFaces: number;\n\n constructor(model, config) {\n this.blazeFaceModel = model;\n this.width = config.face.detector.inputSize;\n this.height = config.face.detector.inputSize;\n this.anchorsData = generateAnchors(config.face.detector.inputSize);\n this.anchors = tf.tensor2d(this.anchorsData);\n this.inputSize = tf.tensor1d([this.width, this.height]);\n this.config = config;\n this.scaleFaces = 0.8;\n }\n\n async getBoundingBoxes(inputImage) {\n // sanity check on input\n if ((!inputImage) || (inputImage.isDisposedInternal) || (inputImage.shape.length !== 4) || (inputImage.shape[1] < 1) || (inputImage.shape[2] < 1)) return null;\n const [detectedOutputs, boxes, scores] = tf.tidy(() => {\n const resizedImage = inputImage.resizeBilinear([this.width, this.height]);\n // const normalizedImage = tf.mul(tf.sub(resizedImage.div(255), 0.5), 2);\n const normalizedImage = tf.sub(resizedImage.div(127.5), 1);\n const batchedPrediction = this.blazeFaceModel.predict(normalizedImage);\n let prediction;\n // are we using tfhub or pinto converted model?\n if (Array.isArray(batchedPrediction)) {\n const sorted = batchedPrediction.sort((a, b) => a.size - b.size);\n const concat384 = tf.concat([sorted[0], sorted[2]], 2); // dim: 384, 1 + 16\n const concat512 = tf.concat([sorted[1], sorted[3]], 2); // dim: 512, 1 + 16\n const concat = tf.concat([concat512, concat384], 1);\n prediction = concat.squeeze(0);\n } else {\n prediction = batchedPrediction.squeeze(); // when using tfhub model\n }\n const decodedBounds = decodeBounds(prediction, this.anchors, this.inputSize);\n const logits = tf.slice(prediction, [0, 0], [-1, 1]);\n const scoresOut = tf.sigmoid(logits).squeeze();\n return [prediction, decodedBounds, scoresOut];\n });\n const boxIndicesTensor = await tf.image.nonMaxSuppressionAsync(boxes, scores, this.config.face.detector.maxFaces, this.config.face.detector.iouThreshold, this.config.face.detector.scoreThreshold);\n const boxIndices = boxIndicesTensor.arraySync();\n boxIndicesTensor.dispose();\n const boundingBoxesMap = boxIndices.map((boxIndex) => tf.slice(boxes, [boxIndex, 0], [1, -1]));\n const boundingBoxes = boundingBoxesMap.map((boundingBox) => {\n const vals = boundingBox.arraySync();\n boundingBox.dispose();\n return vals;\n });\n\n const scoresVal = scores.dataSync();\n const annotatedBoxes: Array<{ box: any, landmarks: any, anchor: any, confidence: number }> = [];\n for (let i = 0; i < boundingBoxes.length; i++) {\n const boxIndex = boxIndices[i];\n const confidence = scoresVal[boxIndex];\n if (confidence > this.config.face.detector.minConfidence) {\n const box = createBox(boundingBoxes[i]);\n const anchor = this.anchorsData[boxIndex];\n const landmarks = tf.tidy(() => tf.slice(detectedOutputs, [boxIndex, NUM_LANDMARKS - 1], [1, -1]).squeeze().reshape([NUM_LANDMARKS, -1]));\n annotatedBoxes.push({ box, landmarks, anchor, confidence });\n }\n }\n detectedOutputs.dispose();\n boxes.dispose();\n scores.dispose();\n detectedOutputs.dispose();\n return {\n boxes: annotatedBoxes,\n scaleFactor: [inputImage.shape[2] / this.width, inputImage.shape[1] / this.height],\n };\n }\n}\n\nexport async function load(config) {\n const blazeface = await tf.loadGraphModel(config.face.detector.modelPath, { fromTFHub: config.face.detector.modelPath.includes('tfhub.dev') });\n const model = new BlazeFaceModel(blazeface, config);\n log(`load model: ${config.face.detector.modelPath.match(/\\/(.*)\\./)[1]}`);\n return model;\n}\n", "/* eslint-disable class-methods-use-this */\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as bounding from './box';\nimport * as util from './util';\nimport * as coords from './coords';\n\nconst LANDMARKS_COUNT = 468;\nconst MESH_MOUTH_INDEX = 13;\nconst MESH_KEYPOINTS_LINE_OF_SYMMETRY_INDICES = [MESH_MOUTH_INDEX, coords.MESH_ANNOTATIONS['midwayBetweenEyes'][0]];\nconst BLAZEFACE_MOUTH_INDEX = 3;\nconst BLAZEFACE_NOSE_INDEX = 2;\nconst BLAZEFACE_KEYPOINTS_LINE_OF_SYMMETRY_INDICES = [BLAZEFACE_MOUTH_INDEX, BLAZEFACE_NOSE_INDEX];\nconst LEFT_EYE_OUTLINE = coords.MESH_ANNOTATIONS['leftEyeLower0'];\nconst LEFT_EYE_BOUNDS = [LEFT_EYE_OUTLINE[0], LEFT_EYE_OUTLINE[LEFT_EYE_OUTLINE.length - 1]];\nconst RIGHT_EYE_OUTLINE = coords.MESH_ANNOTATIONS['rightEyeLower0'];\nconst RIGHT_EYE_BOUNDS = [RIGHT_EYE_OUTLINE[0], RIGHT_EYE_OUTLINE[RIGHT_EYE_OUTLINE.length - 1]];\nconst IRIS_UPPER_CENTER_INDEX = 3;\nconst IRIS_LOWER_CENTER_INDEX = 4;\nconst IRIS_IRIS_INDEX = 71;\nconst IRIS_NUM_COORDINATES = 76;\n\n// Replace the raw coordinates returned by facemesh with refined iris model coordinates. Update the z coordinate to be an average of the original and the new. This produces the best visual effect.\nfunction replaceRawCoordinates(rawCoords, newCoords, prefix, keys = null) {\n for (let i = 0; i < coords.MESH_TO_IRIS_INDICES_MAP.length; i++) {\n const { key, indices } = coords.MESH_TO_IRIS_INDICES_MAP[i];\n const originalIndices = coords.MESH_ANNOTATIONS[`${prefix}${key}`];\n // @ts-ignore\n if (!keys || keys.includes(key)) {\n for (let j = 0; j < indices.length; j++) {\n const index = indices[j];\n rawCoords[originalIndices[j]] = [\n newCoords[index][0], newCoords[index][1],\n (newCoords[index][2] + rawCoords[originalIndices[j]][2]) / 2,\n ];\n }\n }\n }\n}\n// The Pipeline coordinates between the bounding box and skeleton models.\nexport class Pipeline {\n storedBoxes: any;\n runsWithoutFaceDetector: number;\n boundingBoxDetector: any;\n meshDetector: any;\n irisModel: any;\n meshWidth: number;\n meshHeight: number;\n irisSize: number;\n irisEnlarge: number;\n skipped: number;\n detectedFaces: number;\n\n constructor(boundingBoxDetector, meshDetector, irisModel, config) {\n // An array of facial bounding boxes.\n this.storedBoxes = [];\n this.runsWithoutFaceDetector = 0;\n this.boundingBoxDetector = boundingBoxDetector;\n this.meshDetector = meshDetector;\n this.irisModel = irisModel;\n this.meshWidth = config.face.mesh.inputSize;\n this.meshHeight = config.face.mesh.inputSize;\n this.irisSize = config.face.iris.inputSize;\n this.irisEnlarge = 2.3;\n this.skipped = 0;\n this.detectedFaces = 0;\n }\n\n transformRawCoords(rawCoords, box, angle, rotationMatrix) {\n const boxSize = bounding.getBoxSize({ startPoint: box.startPoint, endPoint: box.endPoint });\n const scaleFactor = [boxSize[0] / this.meshWidth, boxSize[1] / this.meshHeight];\n const coordsScaled = rawCoords.map((coord) => ([\n scaleFactor[0] * (coord[0] - this.meshWidth / 2),\n scaleFactor[1] * (coord[1] - this.meshHeight / 2), coord[2],\n ]));\n const coordsRotationMatrix = (angle !== 0) ? util.buildRotationMatrix(angle, [0, 0]) : util.IDENTITY_MATRIX;\n const coordsRotated = (angle !== 0) ? coordsScaled.map((coord) => ([...util.rotatePoint(coord, coordsRotationMatrix), coord[2]])) : coordsScaled;\n const inverseRotationMatrix = (angle !== 0) ? util.invertTransformMatrix(rotationMatrix) : util.IDENTITY_MATRIX;\n const boxCenter = [...bounding.getBoxCenter({ startPoint: box.startPoint, endPoint: box.endPoint }), 1];\n return coordsRotated.map((coord) => ([\n coord[0] + util.dot(boxCenter, inverseRotationMatrix[0]),\n coord[1] + util.dot(boxCenter, inverseRotationMatrix[1]),\n coord[2],\n ]));\n }\n\n getLeftToRightEyeDepthDifference(rawCoords) {\n const leftEyeZ = rawCoords[LEFT_EYE_BOUNDS[0]][2];\n const rightEyeZ = rawCoords[RIGHT_EYE_BOUNDS[0]][2];\n return leftEyeZ - rightEyeZ;\n }\n\n // Returns a box describing a cropped region around the eye fit for passing to the iris model.\n getEyeBox(rawCoords, face, eyeInnerCornerIndex, eyeOuterCornerIndex, flip = false) {\n const box = bounding.squarifyBox(bounding.enlargeBox(this.calculateLandmarksBoundingBox([rawCoords[eyeInnerCornerIndex], rawCoords[eyeOuterCornerIndex]]), this.irisEnlarge));\n const boxSize = bounding.getBoxSize(box);\n let crop = tf.image.cropAndResize(face, [[\n box.startPoint[1] / this.meshHeight,\n box.startPoint[0] / this.meshWidth, box.endPoint[1] / this.meshHeight,\n box.endPoint[0] / this.meshWidth,\n ]], [0], [this.irisSize, this.irisSize]);\n if (flip) {\n crop = tf.image.flipLeftRight(crop);\n }\n return { box, boxSize, crop };\n }\n\n // Given a cropped image of an eye, returns the coordinates of the contours surrounding the eye and the iris.\n getEyeCoords(eyeData, eyeBox, eyeBoxSize, flip = false) {\n const eyeRawCoords: Array = [];\n for (let i = 0; i < IRIS_NUM_COORDINATES; i++) {\n const x = eyeData[i * 3];\n const y = eyeData[i * 3 + 1];\n const z = eyeData[i * 3 + 2];\n eyeRawCoords.push([\n (flip ? (1 - (x / this.irisSize)) : (x / this.irisSize)) * eyeBoxSize[0] + eyeBox.startPoint[0],\n (y / this.irisSize) * eyeBoxSize[1] + eyeBox.startPoint[1], z,\n ]);\n }\n return { rawCoords: eyeRawCoords, iris: eyeRawCoords.slice(IRIS_IRIS_INDEX) };\n }\n\n // The z-coordinates returned for the iris are unreliable, so we take the z values from the surrounding keypoints.\n getAdjustedIrisCoords(rawCoords, irisCoords, direction) {\n const upperCenterZ = rawCoords[coords.MESH_ANNOTATIONS[`${direction}EyeUpper0`][IRIS_UPPER_CENTER_INDEX]][2];\n const lowerCenterZ = rawCoords[coords.MESH_ANNOTATIONS[`${direction}EyeLower0`][IRIS_LOWER_CENTER_INDEX]][2];\n const averageZ = (upperCenterZ + lowerCenterZ) / 2;\n // Iris indices: 0: center | 1: right | 2: above | 3: left | 4: below\n return irisCoords.map((coord, i) => {\n let z = averageZ;\n if (i === 2) {\n z = upperCenterZ;\n } else if (i === 4) {\n z = lowerCenterZ;\n }\n return [coord[0], coord[1], z];\n });\n }\n\n async predict(input, config) {\n let useFreshBox = false;\n // run new detector every skipFrames unless we only want box to start with\n let detector;\n if ((this.skipped === 0) || (this.skipped > config.face.detector.skipFrames) || !config.face.mesh.enabled || !config.videoOptimized) {\n detector = await this.boundingBoxDetector.getBoundingBoxes(input);\n this.skipped = 0;\n }\n if (config.videoOptimized) this.skipped++;\n\n // if detector result count doesn't match current working set, use it to reset current working set\n if (detector && detector.boxes && (!config.face.mesh.enabled || (detector.boxes.length !== this.detectedFaces) && (this.detectedFaces !== config.face.detector.maxFaces))) {\n this.storedBoxes = [];\n this.detectedFaces = 0;\n for (const possible of detector.boxes) {\n this.storedBoxes.push({ startPoint: possible.box.startPoint.dataSync(), endPoint: possible.box.endPoint.dataSync(), landmarks: possible.landmarks, confidence: possible.confidence });\n }\n if (this.storedBoxes.length > 0) useFreshBox = true;\n }\n\n if (useFreshBox) {\n if (!detector || !detector.boxes || (detector.boxes.length === 0)) {\n this.storedBoxes = [];\n this.detectedFaces = 0;\n return null;\n }\n for (let i = 0; i < this.storedBoxes.length; i++) {\n const scaledBox = bounding.scaleBoxCoordinates({ startPoint: this.storedBoxes[i].startPoint, endPoint: this.storedBoxes[i].endPoint }, detector.scaleFactor);\n const enlargedBox = bounding.enlargeBox(scaledBox);\n const squarifiedBox = bounding.squarifyBox(enlargedBox);\n const landmarks = this.storedBoxes[i].landmarks.arraySync();\n const confidence = this.storedBoxes[i].confidence;\n this.storedBoxes[i] = { ...squarifiedBox, confidence, landmarks };\n }\n this.runsWithoutFaceDetector = 0;\n }\n if (detector && detector.boxes) {\n detector.boxes.forEach((prediction) => {\n prediction.box.startPoint.dispose();\n prediction.box.endPoint.dispose();\n prediction.landmarks.dispose();\n });\n }\n\n // log('face', `skipped: ${this.skipped} max: ${config.face.detector.maxFaces} detected: ${this.detectedFaces} stored: ${this.storedBoxes.length} new: ${detector?.boxes?.length}`);\n let results = tf.tidy(() => this.storedBoxes.map((box, i) => {\n // The facial bounding box landmarks could come either from blazeface (if we are using a fresh box), or from the mesh model (if we are reusing an old box).\n let face;\n let angle = 0;\n let rotationMatrix;\n if (config.face.detector.rotation) {\n const [indexOfMouth, indexOfForehead] = (box.landmarks.length >= LANDMARKS_COUNT) ? MESH_KEYPOINTS_LINE_OF_SYMMETRY_INDICES : BLAZEFACE_KEYPOINTS_LINE_OF_SYMMETRY_INDICES;\n angle = util.computeRotation(box.landmarks[indexOfMouth], box.landmarks[indexOfForehead]);\n const faceCenter = bounding.getBoxCenter({ startPoint: box.startPoint, endPoint: box.endPoint });\n const faceCenterNormalized = [faceCenter[0] / input.shape[2], faceCenter[1] / input.shape[1]];\n const rotatedImage = tf.image.rotateWithOffset(input, angle, 0, faceCenterNormalized);\n rotationMatrix = util.buildRotationMatrix(-angle, faceCenter);\n face = bounding.cutBoxFromImageAndResize({ startPoint: box.startPoint, endPoint: box.endPoint }, rotatedImage, [this.meshHeight, this.meshWidth]).div(255);\n } else {\n rotationMatrix = util.IDENTITY_MATRIX;\n const cloned = input.clone();\n face = bounding.cutBoxFromImageAndResize({ startPoint: box.startPoint, endPoint: box.endPoint }, cloned, [this.meshHeight, this.meshWidth]).div(255);\n }\n\n // if we're not going to produce mesh, don't spend time with further processing\n if (!config.face.mesh.enabled) {\n const prediction = {\n coords: null,\n box,\n faceConfidence: null,\n confidence: box.confidence,\n image: face,\n };\n return prediction;\n }\n\n const [, confidence, contourCoords] = this.meshDetector.predict(face); // The first returned tensor represents facial contours, which are included in the coordinates.\n const faceConfidence = confidence.dataSync()[0];\n if (faceConfidence < config.face.detector.minConfidence) return null; // if below confidence just exit\n const coordsReshaped = tf.reshape(contourCoords, [-1, 3]);\n let rawCoords = coordsReshaped.arraySync();\n\n if (config.face.iris.enabled) {\n const { box: leftEyeBox, boxSize: leftEyeBoxSize, crop: leftEyeCrop } = this.getEyeBox(rawCoords, face, LEFT_EYE_BOUNDS[0], LEFT_EYE_BOUNDS[1], true);\n const { box: rightEyeBox, boxSize: rightEyeBoxSize, crop: rightEyeCrop } = this.getEyeBox(rawCoords, face, RIGHT_EYE_BOUNDS[0], RIGHT_EYE_BOUNDS[1]);\n const eyePredictions = this.irisModel.predict(tf.concat([leftEyeCrop, rightEyeCrop]));\n const eyePredictionsData = eyePredictions.dataSync();\n const leftEyeData = eyePredictionsData.slice(0, IRIS_NUM_COORDINATES * 3);\n const { rawCoords: leftEyeRawCoords, iris: leftIrisRawCoords } = this.getEyeCoords(leftEyeData, leftEyeBox, leftEyeBoxSize, true);\n const rightEyeData = eyePredictionsData.slice(IRIS_NUM_COORDINATES * 3);\n const { rawCoords: rightEyeRawCoords, iris: rightIrisRawCoords } = this.getEyeCoords(rightEyeData, rightEyeBox, rightEyeBoxSize);\n const leftToRightEyeDepthDifference = this.getLeftToRightEyeDepthDifference(rawCoords);\n if (Math.abs(leftToRightEyeDepthDifference) < 30) { // User is looking straight ahead.\n replaceRawCoordinates(rawCoords, leftEyeRawCoords, 'left');\n replaceRawCoordinates(rawCoords, rightEyeRawCoords, 'right');\n // If the user is looking to the left or to the right, the iris coordinates tend to diverge too much from the mesh coordinates for them to be merged. So we only update a single contour line above and below the eye.\n } else if (leftToRightEyeDepthDifference < 1) { // User is looking towards the right.\n // @ts-ignore\n replaceRawCoordinates(rawCoords, leftEyeRawCoords, 'left', ['EyeUpper0', 'EyeLower0']);\n } else { // User is looking towards the left.\n // @ts-ignore\n replaceRawCoordinates(rawCoords, rightEyeRawCoords, 'right', ['EyeUpper0', 'EyeLower0']);\n }\n const adjustedLeftIrisCoords = this.getAdjustedIrisCoords(rawCoords, leftIrisRawCoords, 'left');\n const adjustedRightIrisCoords = this.getAdjustedIrisCoords(rawCoords, rightIrisRawCoords, 'right');\n rawCoords = rawCoords.concat(adjustedLeftIrisCoords).concat(adjustedRightIrisCoords);\n }\n\n const transformedCoordsData = this.transformRawCoords(rawCoords, box, angle, rotationMatrix);\n const landmarksBox = bounding.enlargeBox(this.calculateLandmarksBoundingBox(transformedCoordsData));\n const squarifiedLandmarksBox = bounding.squarifyBox(landmarksBox);\n const transformedCoords = tf.tensor2d(transformedCoordsData);\n const prediction = {\n coords: transformedCoords,\n box: landmarksBox,\n faceConfidence,\n confidence: box.confidence,\n image: face,\n rawCoords,\n };\n if (!config.face.mesh.returnRawData) delete prediction.rawCoords;\n this.storedBoxes[i] = { ...squarifiedLandmarksBox, landmarks: transformedCoords.arraySync(), confidence: box.confidence, faceConfidence };\n\n return prediction;\n }));\n results = results.filter((a) => a !== null);\n this.detectedFaces = results.length;\n return results;\n }\n\n calculateLandmarksBoundingBox(landmarks) {\n const xs = landmarks.map((d) => d[0]);\n const ys = landmarks.map((d) => d[1]);\n const startPoint = [Math.min(...xs), Math.min(...ys)];\n const endPoint = [Math.max(...xs), Math.max(...ys)];\n return { startPoint, endPoint, landmarks };\n }\n}\n", "import * as tf from '../../dist/tfjs.esm.js';\n\nexport function scaleBoxCoordinates(box, factor) {\n const startPoint = [box.startPoint[0] * factor[0], box.startPoint[1] * factor[1]];\n const endPoint = [box.endPoint[0] * factor[0], box.endPoint[1] * factor[1]];\n return { startPoint, endPoint };\n}\n\nexport function getBoxSize(box) {\n return [\n Math.abs(box.endPoint[0] - box.startPoint[0]),\n Math.abs(box.endPoint[1] - box.startPoint[1]),\n ];\n}\n\nexport function getBoxCenter(box) {\n return [\n box.startPoint[0] + (box.endPoint[0] - box.startPoint[0]) / 2,\n box.startPoint[1] + (box.endPoint[1] - box.startPoint[1]) / 2,\n ];\n}\n\nexport function cutBoxFromImageAndResize(box, image, cropSize) {\n const h = image.shape[1];\n const w = image.shape[2];\n const boxes = [[\n box.startPoint[1] / h, box.startPoint[0] / w, box.endPoint[1] / h,\n box.endPoint[0] / w,\n ]];\n return tf.image.cropAndResize(image, boxes, [0], cropSize);\n}\n\nexport function enlargeBox(box, factor = 1.5) {\n const center = getBoxCenter(box);\n const size = getBoxSize(box);\n const newHalfSize = [factor * size[0] / 2, factor * size[1] / 2];\n const startPoint = [center[0] - newHalfSize[0], center[1] - newHalfSize[1]];\n const endPoint = [center[0] + newHalfSize[0], center[1] + newHalfSize[1]];\n return { startPoint, endPoint, landmarks: box.landmarks };\n}\n\nexport function squarifyBox(box) {\n const centers = getBoxCenter(box);\n const size = getBoxSize(box);\n const maxEdge = Math.max(...size);\n const halfSize = maxEdge / 2;\n const startPoint = [centers[0] - halfSize, centers[1] - halfSize];\n const endPoint = [centers[0] + halfSize, centers[1] + halfSize];\n return { startPoint, endPoint, landmarks: box.landmarks };\n}\n", "export const IDENTITY_MATRIX = [[1, 0, 0], [0, 1, 0], [0, 0, 1]];\n/**\n * Normalizes the provided angle to the range -pi to pi.\n * @param angle The angle in radians to be normalized.\n */\nexport function normalizeRadians(angle) {\n return angle - 2 * Math.PI * Math.floor((angle + Math.PI) / (2 * Math.PI));\n}\n\n/**\n * Computes the angle of rotation between two anchor points.\n * @param point1 First anchor point\n * @param point2 Second anchor point\n */\nexport function computeRotation(point1, point2) {\n const radians = Math.PI / 2 - Math.atan2(-(point2[1] - point1[1]), point2[0] - point1[0]);\n return normalizeRadians(radians);\n}\n\nexport function radToDegrees(rad) {\n return rad * 180 / Math.PI;\n}\n\nexport function buildTranslationMatrix(x, y) {\n return [[1, 0, x], [0, 1, y], [0, 0, 1]];\n}\n\nexport function dot(v1, v2) {\n let product = 0;\n for (let i = 0; i < v1.length; i++) {\n product += v1[i] * v2[i];\n }\n return product;\n}\n\nexport function getColumnFrom2DArr(arr, columnIndex) {\n const column: Array = [];\n for (let i = 0; i < arr.length; i++) {\n column.push(arr[i][columnIndex]);\n }\n return column;\n}\n\nexport function multiplyTransformMatrices(mat1, mat2) {\n const product: Array = [];\n const size = mat1.length;\n for (let row = 0; row < size; row++) {\n product.push([]);\n for (let col = 0; col < size; col++) {\n product[row].push(dot(mat1[row], getColumnFrom2DArr(mat2, col)));\n }\n }\n return product;\n}\n\nexport function buildRotationMatrix(rotation, center) {\n const cosA = Math.cos(rotation);\n const sinA = Math.sin(rotation);\n const rotationMatrix = [[cosA, -sinA, 0], [sinA, cosA, 0], [0, 0, 1]];\n const translationMatrix = buildTranslationMatrix(center[0], center[1]);\n const translationTimesRotation = multiplyTransformMatrices(translationMatrix, rotationMatrix);\n const negativeTranslationMatrix = buildTranslationMatrix(-center[0], -center[1]);\n return multiplyTransformMatrices(translationTimesRotation, negativeTranslationMatrix);\n}\n\nexport function invertTransformMatrix(matrix) {\n const rotationComponent = [[matrix[0][0], matrix[1][0]], [matrix[0][1], matrix[1][1]]];\n const translationComponent = [matrix[0][2], matrix[1][2]];\n const invertedTranslation = [\n -dot(rotationComponent[0], translationComponent),\n -dot(rotationComponent[1], translationComponent),\n ];\n return [\n rotationComponent[0].concat(invertedTranslation[0]),\n rotationComponent[1].concat(invertedTranslation[1]),\n [0, 0, 1],\n ];\n}\n\nexport function rotatePoint(homogeneousCoordinate, rotationMatrix) {\n return [\n dot(homogeneousCoordinate, rotationMatrix[0]),\n dot(homogeneousCoordinate, rotationMatrix[1]),\n ];\n}\n\nexport function xyDistanceBetweenPoints(a, b) {\n return Math.sqrt(((a[0] - b[0]) ** 2) + ((a[1] - b[1]) ** 2));\n}\n", "export const MESH_ANNOTATIONS = {\n silhouette: [\n 10, 338, 297, 332, 284, 251, 389, 356, 454, 323, 361, 288,\n 397, 365, 379, 378, 400, 377, 152, 148, 176, 149, 150, 136,\n 172, 58, 132, 93, 234, 127, 162, 21, 54, 103, 67, 109,\n ],\n lipsUpperOuter: [61, 185, 40, 39, 37, 0, 267, 269, 270, 409, 291],\n lipsLowerOuter: [146, 91, 181, 84, 17, 314, 405, 321, 375, 291],\n lipsUpperInner: [78, 191, 80, 81, 82, 13, 312, 311, 310, 415, 308],\n lipsLowerInner: [78, 95, 88, 178, 87, 14, 317, 402, 318, 324, 308],\n rightEyeUpper0: [246, 161, 160, 159, 158, 157, 173],\n rightEyeLower0: [33, 7, 163, 144, 145, 153, 154, 155, 133],\n rightEyeUpper1: [247, 30, 29, 27, 28, 56, 190],\n rightEyeLower1: [130, 25, 110, 24, 23, 22, 26, 112, 243],\n rightEyeUpper2: [113, 225, 224, 223, 222, 221, 189],\n rightEyeLower2: [226, 31, 228, 229, 230, 231, 232, 233, 244],\n rightEyeLower3: [143, 111, 117, 118, 119, 120, 121, 128, 245],\n rightEyebrowUpper: [156, 70, 63, 105, 66, 107, 55, 193],\n rightEyebrowLower: [35, 124, 46, 53, 52, 65],\n rightEyeIris: [473, 474, 475, 476, 477],\n leftEyeUpper0: [466, 388, 387, 386, 385, 384, 398],\n leftEyeLower0: [263, 249, 390, 373, 374, 380, 381, 382, 362],\n leftEyeUpper1: [467, 260, 259, 257, 258, 286, 414],\n leftEyeLower1: [359, 255, 339, 254, 253, 252, 256, 341, 463],\n leftEyeUpper2: [342, 445, 444, 443, 442, 441, 413],\n leftEyeLower2: [446, 261, 448, 449, 450, 451, 452, 453, 464],\n leftEyeLower3: [372, 340, 346, 347, 348, 349, 350, 357, 465],\n leftEyebrowUpper: [383, 300, 293, 334, 296, 336, 285, 417],\n leftEyebrowLower: [265, 353, 276, 283, 282, 295],\n leftEyeIris: [468, 469, 470, 471, 472],\n midwayBetweenEyes: [168],\n noseTip: [1],\n noseBottom: [2],\n noseRightCorner: [98],\n noseLeftCorner: [327],\n rightCheek: [205],\n leftCheek: [425],\n};\n\nexport const MESH_TO_IRIS_INDICES_MAP = [ // A mapping from facemesh model keypoints to iris model keypoints.\n { key: 'EyeUpper0', indices: [9, 10, 11, 12, 13, 14, 15] },\n { key: 'EyeUpper1', indices: [25, 26, 27, 28, 29, 30, 31] },\n { key: 'EyeUpper2', indices: [41, 42, 43, 44, 45, 46, 47] },\n { key: 'EyeLower0', indices: [0, 1, 2, 3, 4, 5, 6, 7, 8] },\n { key: 'EyeLower1', indices: [16, 17, 18, 19, 20, 21, 22, 23, 24] },\n { key: 'EyeLower2', indices: [32, 33, 34, 35, 36, 37, 38, 39, 40] },\n { key: 'EyeLower3', indices: [54, 55, 56, 57, 58, 59, 60, 61, 62] },\n // { key: 'EyebrowUpper', indices: [63, 64, 65, 66, 67, 68, 69, 70] },\n // { key: 'EyebrowLower', indices: [48, 49, 50, 51, 52, 53] },\n];\n\nexport const UV468 = [\n [0.499976992607117, 0.652534008026123],\n [0.500025987625122, 0.547487020492554],\n [0.499974012374878, 0.602371990680695],\n [0.482113003730774, 0.471979022026062],\n [0.500150978565216, 0.527155995368958],\n [0.499909996986389, 0.498252987861633],\n [0.499523013830185, 0.40106201171875],\n [0.289712011814117, 0.380764007568359],\n [0.499954998493195, 0.312398016452789],\n [0.499987006187439, 0.269918978214264],\n [0.500023007392883, 0.107050001621246],\n [0.500023007392883, 0.666234016418457],\n [0.5000159740448, 0.679224014282227],\n [0.500023007392883, 0.692348003387451],\n [0.499976992607117, 0.695277988910675],\n [0.499976992607117, 0.70593398809433],\n [0.499976992607117, 0.719385027885437],\n [0.499976992607117, 0.737019002437592],\n [0.499967992305756, 0.781370997428894],\n [0.499816000461578, 0.562981009483337],\n [0.473773002624512, 0.573909997940063],\n [0.104906998574734, 0.254140973091125],\n [0.365929991006851, 0.409575998783112],\n [0.338757991790771, 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0.924192011356354],\n [0.88577002286911, 0.615028977394104],\n [0.551338016986847, 0.695277988910675],\n [0.551980018615723, 0.704632043838501],\n [0.552887976169586, 0.715808033943176],\n [0.555167973041534, 0.730794012546539],\n [0.569944024085999, 0.767035007476807],\n [0.593203008174896, 0.685675978660583],\n [0.599261999130249, 0.681069016456604],\n [0.607599973678589, 0.677703022956848],\n [0.631937980651855, 0.663500010967255],\n [0.752032995223999, 0.601315021514893],\n [0.547226011753082, 0.420395016670227],\n [0.563543975353241, 0.359827995300293],\n [0.583841025829315, 0.368713974952698],\n [0.586614012718201, 0.692366003990173],\n [0.771915018558502, 0.683578014373779],\n [0.531597018241882, 0.352482974529266],\n [0.588370978832245, 0.804440975189209],\n [0.52079701423645, 0.442565023899078],\n [0.567984998226166, 0.493479013442993],\n [0.543282985687256, 0.819254994392395],\n [0.655317008495331, 0.745514988899231],\n [0.621008992195129, 0.574018001556396],\n [0.625559985637665, 0.78031200170517],\n [0.680198013782501, 0.570719003677368],\n [0.64276397228241, 0.604337990283966],\n [0.704662978649139, 0.621529996395111],\n [0.552012026309967, 0.862591981887817],\n [0.589071989059448, 0.508637011051178],\n [0.685944974422455, 0.775357007980347],\n [0.645735025405884, 0.812640011310577],\n [0.675342977046967, 0.703978002071381],\n [0.810858011245728, 0.646304965019226],\n [0.72012197971344, 0.714666962623596],\n [0.866151988506317, 0.682704985141754],\n [0.663187026977539, 0.644596993923187],\n [0.570082008838654, 0.466325998306274],\n [0.544561982154846, 0.548375964164734],\n [0.562758982181549, 0.558784961700439],\n [0.531987011432648, 0.530140042304993],\n [0.585271000862122, 0.335177004337311],\n [0.622952997684479, 0.32277899980545],\n [0.655896008014679, 0.320163011550903],\n [0.687132000923157, 0.322345972061157],\n [0.716481983661652, 0.333200991153717],\n [0.758756995201111, 0.382786989212036],\n [0.897013008594513, 0.468769013881683],\n [0.732392013072968, 0.424547016620636],\n [0.70211398601532, 0.433162987232208],\n [0.66652500629425, 0.433866024017334],\n [0.633504986763, 0.426087975502014],\n [0.603875994682312, 0.416586995124817],\n [0.579657971858978, 0.409945011138916],\n [0.992439985275269, 0.480777025222778],\n [0.567192018032074, 0.569419980049133],\n [0.54136598110199, 0.478899002075195],\n [0.526564002037048, 0.546118021011353],\n [0.523913025856018, 0.563830018043518],\n [0.531529009342194, 0.555056989192963],\n [0.566035985946655, 0.582329034805298],\n [0.51631098985672, 0.563053965568542],\n [0.5174720287323, 0.577877044677734],\n [0.573594987392426, 0.389806985855103],\n [0.560697972774506, 0.395331978797913],\n [0.549755990505219, 0.399751007556915],\n [0.710287988185883, 0.368252992630005],\n [0.723330020904541, 0.363372981548309],\n];\n\nexport const TRI468 = [\n 127, 34, 139, 11, 0, 37, 232, 231, 120, 72, 37, 39, 128, 121, 47, 232, 121, 128, 104, 69, 67, 175, 171, 148, 157, 154, 155, 118, 50, 101, 73, 39, 40, 9,\n 151, 108, 48, 115, 131, 194, 204, 211, 74, 40, 185, 80, 42, 183, 40, 92, 186, 230, 229, 118, 202, 212, 214, 83, 18, 17, 76, 61, 146, 160, 29, 30, 56,\n 157, 173, 106, 204, 194, 135, 214, 192, 203, 165, 98, 21, 71, 68, 51, 45, 4, 144, 24, 23, 77, 146, 91, 205, 50, 187, 201, 200, 18, 91, 106, 182, 90, 91,\n 181, 85, 84, 17, 206, 203, 36, 148, 171, 140, 92, 40, 39, 193, 189, 244, 159, 158, 28, 247, 246, 161, 236, 3, 196, 54, 68, 104, 193, 168, 8, 117,\n 228, 31, 189, 193, 55, 98, 97, 99, 126, 47, 100, 166, 79, 218, 155, 154, 26, 209, 49, 131, 135, 136, 150, 47, 126, 217, 223, 52, 53, 45, 51, 134, 211,\n 170, 140, 67, 69, 108, 43, 106, 91, 230, 119, 120, 226, 130, 247, 63, 53, 52, 238, 20, 242, 46, 70, 156, 78, 62, 96, 46, 53, 63, 143, 34, 227, 173,\n 155, 133, 123, 117, 111, 44, 125, 19, 236, 134, 51, 216, 206, 205, 154, 153, 22, 39, 37, 167, 200, 201, 208, 36, 142, 100, 57, 212, 202, 20, 60, 99, 28,\n 158, 157, 35, 226, 113, 160, 159, 27, 204, 202, 210, 113, 225, 46, 43, 202, 204, 62, 76, 77, 137, 123, 116, 41, 38, 72, 203, 129, 142, 64, 98, 240, 49,\n 102, 64, 41, 73, 74, 212, 216, 207, 42, 74, 184, 169, 170, 211, 170, 149, 176, 105, 66, 69, 122, 6, 168, 123, 147, 187, 96, 77, 90, 65, 55, 107, 89,\n 90, 180, 101, 100, 120, 63, 105, 104, 93, 137, 227, 15, 86, 85, 129, 102, 49, 14, 87, 86, 55, 8, 9, 100, 47, 121, 145, 23, 22, 88, 89, 179, 6, 122,\n 196, 88, 95, 96, 138, 172, 136, 215, 58, 172, 115, 48, 219, 42, 80, 81, 195, 3, 51, 43, 146, 61, 171, 175, 199, 81, 82, 38, 53, 46, 225, 144, 163, 110,\n 246, 33, 7, 52, 65, 66, 229, 228, 117, 34, 127, 234, 107, 108, 69, 109, 108, 151, 48, 64, 235, 62, 78, 191, 129, 209, 126, 111, 35, 143, 163, 161, 246,\n 117, 123, 50, 222, 65, 52, 19, 125, 141, 221, 55, 65, 3, 195, 197, 25, 7, 33, 220, 237, 44, 70, 71, 139, 122, 193, 245, 247, 130, 33, 71, 21, 162,\n 153, 158, 159, 170, 169, 150, 188, 174, 196, 216, 186, 92, 144, 160, 161, 2, 97, 167, 141, 125, 241, 164, 167, 37, 72, 38, 12, 145, 159, 160, 38, 82, 13,\n 63, 68, 71, 226, 35, 111, 158, 153, 154, 101, 50, 205, 206, 92, 165, 209, 198, 217, 165, 167, 97, 220, 115, 218, 133, 112, 243, 239, 238, 241, 214,\n 135, 169, 190, 173, 133, 171, 208, 32, 125, 44, 237, 86, 87, 178, 85, 86, 179, 84, 85, 180, 83, 84, 181, 201, 83, 182, 137, 93, 132, 76, 62, 183, 61,\n 76, 184, 57, 61, 185, 212, 57, 186, 214, 207, 187, 34, 143, 156, 79, 239, 237, 123, 137, 177, 44, 1, 4, 201, 194, 32, 64, 102, 129, 213, 215, 138, 59,\n 166, 219, 242, 99, 97, 2, 94, 141, 75, 59, 235, 24, 110, 228, 25, 130, 226, 23, 24, 229, 22, 23, 230, 26, 22, 231, 112, 26, 232, 189, 190, 243, 221, 56,\n 190, 28, 56, 221, 27, 28, 222, 29, 27, 223, 30, 29, 224, 247, 30, 225, 238, 79, 20, 166, 59, 75, 60, 75, 240, 147, 177, 215, 20, 79, 166, 187, 147, 213,\n 112, 233, 244, 233, 128, 245, 128, 114, 188, 114, 217, 174, 131, 115, 220, 217, 198, 236, 198, 131, 134, 177, 132, 58, 143, 35, 124, 110, 163, 7, 228,\n 110, 25, 356, 389, 368, 11, 302, 267, 452, 350, 349, 302, 303, 269, 357, 343, 277, 452, 453, 357, 333, 332, 297, 175, 152, 377, 384, 398, 382, 347,\n 348, 330, 303, 304, 270, 9, 336, 337, 278, 279, 360, 418, 262, 431, 304, 408, 409, 310, 415, 407, 270, 409, 410, 450, 348, 347, 422, 430, 434, 313,\n 314, 17, 306, 307, 375, 387, 388, 260, 286, 414, 398, 335, 406, 418, 364, 367, 416, 423, 358, 327, 251, 284, 298, 281, 5, 4, 373, 374, 253, 307, 320,\n 321, 425, 427, 411, 421, 313, 18, 321, 405, 406, 320, 404, 405, 315, 16, 17, 426, 425, 266, 377, 400, 369, 322, 391, 269, 417, 465, 464, 386, 257, 258,\n 466, 260, 388, 456, 399, 419, 284, 332, 333, 417, 285, 8, 346, 340, 261, 413, 441, 285, 327, 460, 328, 355, 371, 329, 392, 439, 438, 382, 341, 256,\n 429, 420, 360, 364, 394, 379, 277, 343, 437, 443, 444, 283, 275, 440, 363, 431, 262, 369, 297, 338, 337, 273, 375, 321, 450, 451, 349, 446, 342, 467,\n 293, 334, 282, 458, 461, 462, 276, 353, 383, 308, 324, 325, 276, 300, 293, 372, 345, 447, 382, 398, 362, 352, 345, 340, 274, 1, 19, 456, 248, 281, 436,\n 427, 425, 381, 256, 252, 269, 391, 393, 200, 199, 428, 266, 330, 329, 287, 273, 422, 250, 462, 328, 258, 286, 384, 265, 353, 342, 387, 259, 257, 424,\n 431, 430, 342, 353, 276, 273, 335, 424, 292, 325, 307, 366, 447, 345, 271, 303, 302, 423, 266, 371, 294, 455, 460, 279, 278, 294, 271, 272, 304, 432,\n 434, 427, 272, 407, 408, 394, 430, 431, 395, 369, 400, 334, 333, 299, 351, 417, 168, 352, 280, 411, 325, 319, 320, 295, 296, 336, 319, 403, 404, 330,\n 348, 349, 293, 298, 333, 323, 454, 447, 15, 16, 315, 358, 429, 279, 14, 15, 316, 285, 336, 9, 329, 349, 350, 374, 380, 252, 318, 402, 403, 6, 197, 419,\n 318, 319, 325, 367, 364, 365, 435, 367, 397, 344, 438, 439, 272, 271, 311, 195, 5, 281, 273, 287, 291, 396, 428, 199, 311, 271, 268, 283, 444, 445,\n 373, 254, 339, 263, 466, 249, 282, 334, 296, 449, 347, 346, 264, 447, 454, 336, 296, 299, 338, 10, 151, 278, 439, 455, 292, 407, 415, 358, 371, 355,\n 340, 345, 372, 390, 249, 466, 346, 347, 280, 442, 443, 282, 19, 94, 370, 441, 442, 295, 248, 419, 197, 263, 255, 359, 440, 275, 274, 300, 383, 368,\n 351, 412, 465, 263, 467, 466, 301, 368, 389, 380, 374, 386, 395, 378, 379, 412, 351, 419, 436, 426, 322, 373, 390, 388, 2, 164, 393, 370, 462, 461,\n 164, 0, 267, 302, 11, 12, 374, 373, 387, 268, 12, 13, 293, 300, 301, 446, 261, 340, 385, 384, 381, 330, 266, 425, 426, 423, 391, 429, 355, 437, 391,\n 327, 326, 440, 457, 438, 341, 382, 362, 459, 457, 461, 434, 430, 394, 414, 463, 362, 396, 369, 262, 354, 461, 457, 316, 403, 402, 315, 404, 403, 314,\n 405, 404, 313, 406, 405, 421, 418, 406, 366, 401, 361, 306, 408, 407, 291, 409, 408, 287, 410, 409, 432, 436, 410, 434, 416, 411, 264, 368, 383, 309,\n 438, 457, 352, 376, 401, 274, 275, 4, 421, 428, 262, 294, 327, 358, 433, 416, 367, 289, 455, 439, 462, 370, 326, 2, 326, 370, 305, 460, 455, 254,\n 449, 448, 255, 261, 446, 253, 450, 449, 252, 451, 450, 256, 452, 451, 341, 453, 452, 413, 464, 463, 441, 413, 414, 258, 442, 441, 257, 443, 442, 259,\n 444, 443, 260, 445, 444, 467, 342, 445, 459, 458, 250, 289, 392, 290, 290, 328, 460, 376, 433, 435, 250, 290, 392, 411, 416, 433, 341, 463, 464, 453,\n 464, 465, 357, 465, 412, 343, 412, 399, 360, 363, 440, 437, 399, 456, 420, 456, 363, 401, 435, 288, 372, 383, 353, 339, 255, 249, 448, 261, 255, 133,\n 243, 190, 133, 155, 112, 33, 246, 247, 33, 130, 25, 398, 384, 286, 362, 398, 414, 362, 463, 341, 263, 359, 467, 263, 249, 255, 466, 467, 260, 75, 60,\n 166, 238, 239, 79, 162, 127, 139, 72, 11, 37, 121, 232, 120, 73, 72, 39, 114, 128, 47, 233, 232, 128, 103, 104, 67, 152, 175, 148, 173, 157, 155,\n 119, 118, 101, 74, 73, 40, 107, 9, 108, 49, 48, 131, 32, 194, 211, 184, 74, 185, 191, 80, 183, 185, 40, 186, 119, 230, 118, 210, 202, 214, 84, 83, 17,\n 77, 76, 146, 161, 160, 30, 190, 56, 173, 182, 106, 194, 138, 135, 192, 129, 203, 98, 54, 21, 68, 5, 51, 4, 145, 144, 23, 90, 77, 91, 207, 205, 187, 83,\n 201, 18, 181, 91, 182, 180, 90, 181, 16, 85, 17, 205, 206, 36, 176, 148, 140, 165, 92, 39, 245, 193, 244, 27, 159, 28, 30, 247, 161, 174, 236, 196,\n 103, 54, 104, 55, 193, 8, 111, 117, 31, 221, 189, 55, 240, 98, 99, 142, 126, 100, 219, 166, 218, 112, 155, 26, 198, 209, 131, 169, 135, 150, 114, 47,\n 217, 224, 223, 53, 220, 45, 134, 32, 211, 140, 109, 67, 108, 146, 43, 91, 231, 230, 120, 113, 226, 247, 105, 63, 52, 241, 238, 242, 124, 46, 156, 95,\n 78, 96, 70, 46, 63, 116, 143, 227, 116, 123, 111, 1, 44, 19, 3, 236, 51, 207, 216, 205, 26, 154, 22, 165, 39, 167, 199, 200, 208, 101, 36, 100, 43,\n 57, 202, 242, 20, 99, 56, 28, 157, 124, 35, 113, 29, 160, 27, 211, 204, 210, 124, 113, 46, 106, 43, 204, 96, 62, 77, 227, 137, 116, 73, 41, 72, 36, 203,\n 142, 235, 64, 240, 48, 49, 64, 42, 41, 74, 214, 212, 207, 183, 42, 184, 210, 169, 211, 140, 170, 176, 104, 105, 69, 193, 122, 168, 50, 123, 187, 89, 96,\n 90, 66, 65, 107, 179, 89, 180, 119, 101, 120, 68, 63, 104, 234, 93, 227, 16, 15, 85, 209, 129, 49, 15, 14, 86, 107, 55, 9, 120, 100, 121, 153, 145, 22,\n 178, 88, 179, 197, 6, 196, 89, 88, 96, 135, 138, 136, 138, 215, 172, 218, 115, 219, 41, 42, 81, 5, 195, 51, 57, 43, 61, 208, 171, 199, 41, 81, 38,\n 224, 53, 225, 24, 144, 110, 105, 52, 66, 118, 229, 117, 227, 34, 234, 66, 107, 69, 10, 109, 151, 219, 48, 235, 183, 62, 191, 142, 129, 126, 116, 111,\n 143, 7, 163, 246, 118, 117, 50, 223, 222, 52, 94, 19, 141, 222, 221, 65, 196, 3, 197, 45, 220, 44, 156, 70, 139, 188, 122, 245, 139, 71, 162, 145,\n 153, 159, 149, 170, 150, 122, 188, 196, 206, 216, 92, 163, 144, 161, 164, 2, 167, 242, 141, 241, 0, 164, 37, 11, 72, 12, 144, 145, 160, 12, 38, 13, 70,\n 63, 71, 31, 226, 111, 157, 158, 154, 36, 101, 205, 203, 206, 165, 126, 209, 217, 98, 165, 97, 237, 220, 218, 237, 239, 241, 210, 214, 169, 140, 171, 32,\n 241, 125, 237, 179, 86, 178, 180, 85, 179, 181, 84, 180, 182, 83, 181, 194, 201, 182, 177, 137, 132, 184, 76, 183, 185, 61, 184, 186, 57, 185, 216, 212,\n 186, 192, 214, 187, 139, 34, 156, 218, 79, 237, 147, 123, 177, 45, 44, 4, 208, 201, 32, 98, 64, 129, 192, 213, 138, 235, 59, 219, 141, 242, 97, 97, 2,\n 141, 240, 75, 235, 229, 24, 228, 31, 25, 226, 230, 23, 229, 231, 22, 230, 232, 26, 231, 233, 112, 232, 244, 189, 243, 189, 221, 190, 222, 28, 221,\n 223, 27, 222, 224, 29, 223, 225, 30, 224, 113, 247, 225, 99, 60, 240, 213, 147, 215, 60, 20, 166, 192, 187, 213, 243, 112, 244, 244, 233, 245, 245,\n 128, 188, 188, 114, 174, 134, 131, 220, 174, 217, 236, 236, 198, 134, 215, 177, 58, 156, 143, 124, 25, 110, 7, 31, 228, 25, 264, 356, 368, 0, 11, 267,\n 451, 452, 349, 267, 302, 269, 350, 357, 277, 350, 452, 357, 299, 333, 297, 396, 175, 377, 381, 384, 382, 280, 347, 330, 269, 303, 270, 151, 9, 337,\n 344, 278, 360, 424, 418, 431, 270, 304, 409, 272, 310, 407, 322, 270, 410, 449, 450, 347, 432, 422, 434, 18, 313, 17, 291, 306, 375, 259, 387, 260,\n 424, 335, 418, 434, 364, 416, 391, 423, 327, 301, 251, 298, 275, 281, 4, 254, 373, 253, 375, 307, 321, 280, 425, 411, 200, 421, 18, 335, 321, 406,\n 321, 320, 405, 314, 315, 17, 423, 426, 266, 396, 377, 369, 270, 322, 269, 413, 417, 464, 385, 386, 258, 248, 456, 419, 298, 284, 333, 168, 417, 8,\n 448, 346, 261, 417, 413, 285, 326, 327, 328, 277, 355, 329, 309, 392, 438, 381, 382, 256, 279, 429, 360, 365, 364, 379, 355, 277, 437, 282, 443, 283,\n 281, 275, 363, 395, 431, 369, 299, 297, 337, 335, 273, 321, 348, 450, 349, 359, 446, 467, 283, 293, 282, 250, 458, 462, 300, 276, 383, 292, 308, 325,\n 283, 276, 293, 264, 372, 447, 346, 352, 340, 354, 274, 19, 363, 456, 281, 426, 436, 425, 380, 381, 252, 267, 269, 393, 421, 200, 428, 371, 266, 329,\n 432, 287, 422, 290, 250, 328, 385, 258, 384, 446, 265, 342, 386, 387, 257, 422, 424, 430, 445, 342, 276, 422, 273, 424, 306, 292, 307, 352, 366, 345,\n 268, 271, 302, 358, 423, 371, 327, 294, 460, 331, 279, 294, 303, 271, 304, 436, 432, 427, 304, 272, 408, 395, 394, 431, 378, 395, 400, 296, 334, 299,\n 6, 351, 168, 376, 352, 411, 307, 325, 320, 285, 295, 336, 320, 319, 404, 329, 330, 349, 334, 293, 333, 366, 323, 447, 316, 15, 315, 331, 358, 279,\n 317, 14, 316, 8, 285, 9, 277, 329, 350, 253, 374, 252, 319, 318, 403, 351, 6, 419, 324, 318, 325, 397, 367, 365, 288, 435, 397, 278, 344, 439, 310,\n 272, 311, 248, 195, 281, 375, 273, 291, 175, 396, 199, 312, 311, 268, 276, 283, 445, 390, 373, 339, 295, 282, 296, 448, 449, 346, 356, 264, 454, 337,\n 336, 299, 337, 338, 151, 294, 278, 455, 308, 292, 415, 429, 358, 355, 265, 340, 372, 388, 390, 466, 352, 346, 280, 295, 442, 282, 354, 19, 370, 285,\n 441, 295, 195, 248, 197, 457, 440, 274, 301, 300, 368, 417, 351, 465, 251, 301, 389, 385, 380, 386, 394, 395, 379, 399, 412, 419, 410, 436, 322, 387,\n 373, 388, 326, 2, 393, 354, 370, 461, 393, 164, 267, 268, 302, 12, 386, 374, 387, 312, 268, 13, 298, 293, 301, 265, 446, 340, 380, 385, 381, 280, 330,\n 425, 322, 426, 391, 420, 429, 437, 393, 391, 326, 344, 440, 438, 458, 459, 461, 364, 434, 394, 428, 396, 262, 274, 354, 457, 317, 316, 402, 316, 315,\n 403, 315, 314, 404, 314, 313, 405, 313, 421, 406, 323, 366, 361, 292, 306, 407, 306, 291, 408, 291, 287, 409, 287, 432, 410, 427, 434, 411, 372, 264,\n 383, 459, 309, 457, 366, 352, 401, 1, 274, 4, 418, 421, 262, 331, 294, 358, 435, 433, 367, 392, 289, 439, 328, 462, 326, 94, 2, 370, 289, 305, 455, 339,\n 254, 448, 359, 255, 446, 254, 253, 449, 253, 252, 450, 252, 256, 451, 256, 341, 452, 414, 413, 463, 286, 441, 414, 286, 258, 441, 258, 257, 442, 257,\n 259, 443, 259, 260, 444, 260, 467, 445, 309, 459, 250, 305, 289, 290, 305, 290, 460, 401, 376, 435, 309, 250, 392, 376, 411, 433, 453, 341, 464, 357,\n 453, 465, 343, 357, 412, 437, 343, 399, 344, 360, 440, 420, 437, 456, 360, 420, 363, 361, 401, 288, 265, 372, 353, 390, 339, 249, 339, 448, 255];\n\nexport const TRI68 = [0, 1, 36, 0, 36, 17, 1, 2, 41, 1, 41, 36, 2, 3, 31, 2, 31, 41, 3, 4, 48, 3, 48, 31, 4, 5, 48, 5, 6, 48, 6, 7, 59, 6, 59, 48, 7, 8, 58, 7, 58, 59,\n 8, 9, 56, 8, 56, 57, 8, 57, 58, 9, 10, 55, 9, 55, 56, 10, 11, 54, 10, 54, 55, 11, 12, 54, 12, 13, 54, 13, 14, 35, 13, 35, 54, 14, 15, 46, 14, 46, 35, 15, 16,\n 45, 15, 45, 46, 16, 26, 45, 17, 36, 18, 18, 37, 19, 18, 36, 37, 19, 38, 20, 19, 37, 38, 20, 39, 21, 20, 38, 39, 21, 39, 27, 22, 42, 23, 22, 27, 42, 23, 43, 24,\n 23, 42, 43, 24, 44, 25, 24, 43, 44, 25, 45, 26, 25, 44, 45, 27, 39, 28, 27, 28, 42, 28, 39, 29, 28, 29, 42, 29, 31, 30, 29, 30, 35, 29, 40, 31, 29, 35, 47, 29,\n 39, 40, 29, 47, 42, 30, 31, 32, 30, 32, 33, 30, 33, 34, 30, 34, 35, 31, 50, 32, 31, 40, 41, 31, 48, 49, 31, 49, 50, 32, 51, 33, 32, 50, 51, 33, 51, 34, 34, 52,\n 35, 34, 51, 52, 35, 46, 47, 35, 52, 53, 35, 53, 54, 36, 41, 37, 37, 40, 38, 37, 41, 40, 38, 40, 39, 42, 47, 43, 43, 47, 44, 44, 46, 45, 44, 47, 46, 48, 60, 49,\n 48, 59, 60, 49, 61, 50, 49, 60, 61, 50, 62, 51, 50, 61, 62, 51, 62, 52, 52, 63, 53, 52, 62, 63, 53, 64, 54, 53, 63, 64, 54, 64, 55, 55, 65, 56, 55, 64, 65, 56,\n 66, 57, 56, 65, 66, 57, 66, 58, 58, 67, 59, 58, 66, 67, 59, 67, 60, 60, 67, 61, 61, 66, 62, 61, 67, 66, 62, 66, 63, 63, 65, 64, 63, 66, 65, 21, 27, 22];\n\nexport const TRI33 = [\n /* eyes */ 0, 8, 7, 7, 8, 1, 2, 10, 9, 9, 10, 3,\n /* brows */ 17, 0, 18, 18, 0, 7, 18, 7, 19, 19, 7, 1, 19, 1, 11, 19, 11, 20, 21, 3, 22, 21, 9, 3, 20, 9, 21, 20, 2, 9, 20, 11, 2,\n /* 4head */ 23, 17, 18, 25, 21, 22, 24, 19, 20, 24, 18, 19, 24, 20, 21, 24, 23, 18, 24, 21, 25,\n /* nose */ 11, 12, 4, 11, 4, 13, 1, 12, 11, 11, 13, 2, 12, 14, 4, 4, 14, 13,\n /* up-lip */ 14, 5, 15, 14, 15, 6, 12, 5, 14, 14, 6, 13,\n /* cheeks */ 8, 12, 1, 2, 13, 10, 8, 26, 12, 10, 13, 27, 26, 5, 12, 13, 6, 27, 0, 26, 8, 10, 27, 3,\n /* chin */ 5, 32, 16, 16, 32, 6, 5, 30, 32, 6, 32, 31,\n /* cont */ 26, 30, 5, 27, 6, 31, 0, 28, 26, 3, 27, 29, 17, 28, 0, 3, 29, 22, 23, 28, 17, 22, 29, 25, 28, 30, 26, 27, 31, 29,\n];\n\nexport const TRI7 = [0, 4, 1, 2, 4, 3, 4, 5, 6];\n\nexport const VTX68 = [\n /* cont */ 127, 234, 132, 58, 172, 150, 149, 148, 152, 377, 378, 379, 397, 288, 361, 454, 356,\n /* brows */ 70, 63, 105, 66, 107, 336, 296, 334, 293, 300,\n /* nose */ 168, 6, 195, 4, 98, 97, 2, 326, 327,\n /* eyes */ 33, 160, 158, 133, 153, 144, 362, 385, 387, 263, 373, 380,\n /* lip */ 57, 40, 37, 0, 267, 270, 287, 321, 314, 17, 84, 91,\n /* mouth */ 78, 81, 13, 311, 308, 402, 14, 178,\n];\n\nexport const VTX33 = [33, 133, 362, 263, 1, 62, 308, 159, 145, 386, 374, 6, 102, 331, 2, 13, 14, 70, 105, 107, 336, 334, 300, 54, 10, 284, 50, 280, 234, 454, 58, 288, 152];\n\nexport const VTX7 = [33, 133, 362, 263, 1, 78, 308];\n\nexport const UV68 = VTX68.map((x) => UV468[x]);\n\nexport const UV33 = VTX33.map((x) => UV468[x]);\n\nexport const UV7 = VTX7.map((x) => UV468[x]);\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as profile from '../profile';\n\nexport class FaceBoxes {\n enlarge: number;\n model: any;\n config: any;\n\n constructor(model, config) {\n this.enlarge = 1.1;\n this.model = model;\n this.config = config;\n }\n\n async estimateFaces(input, config) {\n if (config) this.config = config;\n const results: Array<{ confidence: number, box: any, boxRaw: any, image: any }> = [];\n const resizeT = tf.image.resizeBilinear(input, [this.config.face.detector.inputSize, this.config.face.detector.inputSize]);\n const castT = resizeT.toInt();\n let scores;\n let boxes;\n if (!config.profile) {\n const [scoresT, boxesT, numT] = await this.model.executeAsync(castT);\n scores = scoresT.dataSync();\n const squeezeT = boxesT.squeeze();\n boxes = squeezeT.arraySync();\n scoresT.dispose();\n boxesT.dispose();\n squeezeT.dispose();\n numT.dispose();\n } else {\n const profileData = await tf.profile(() => this.model.executeAsync(castT));\n scores = profileData.result[0].dataSync();\n const squeezeT = profileData.result[1].squeeze();\n boxes = squeezeT.arraySync();\n profileData.result.forEach((t) => t.dispose());\n profile.run('faceboxes', profileData);\n }\n castT.dispose();\n resizeT.dispose();\n for (const i in boxes) {\n if (scores[i] && scores[i] > this.config.face.detector.minConfidence) {\n const crop = [boxes[i][0] / this.enlarge, boxes[i][1] / this.enlarge, boxes[i][2] * this.enlarge, boxes[i][3] * this.enlarge];\n const boxRaw = [crop[1], crop[0], (crop[3]) - (crop[1]), (crop[2]) - (crop[0])];\n const box = [\n parseInt((boxRaw[0] * input.shape[2]).toString()),\n parseInt((boxRaw[1] * input.shape[1]).toString()),\n parseInt((boxRaw[2] * input.shape[2]).toString()),\n parseInt((boxRaw[3] * input.shape[1]).toString())];\n const resized = tf.image.cropAndResize(input, [crop], [0], [this.config.face.detector.inputSize, this.config.face.detector.inputSize]);\n const image = resized.div([255]);\n resized.dispose();\n results.push({ confidence: scores[i], box, boxRaw: this.config.face.mesh.returnRawData ? boxRaw : null, image });\n // add mesh, meshRaw, annotations,\n }\n }\n return results;\n }\n}\n\nexport async function load(config) {\n const model = await tf.loadGraphModel(config.face.detector.modelPath);\n log(`load model: ${config.face.detector.modelPath.match(/\\/(.*)\\./)[1]}`);\n const faceboxes = new FaceBoxes(model, config);\n if (config.face.mesh.enabled) log(`load model: ${config.face.mesh.modelPath.match(/\\/(.*)\\./)[1]}`);\n if (config.face.iris.enabled) log(`load model: ${config.face.iris.modelPath.match(/\\/(.*)\\./)[1]}`);\n return faceboxes;\n}\n", "import { log } from './log';\n\nexport const data = {};\n\nexport function run(name: string, raw: any) {\n if (!raw || !raw.kernels) return;\n const maxResults = 5;\n const time = raw.kernels\n .filter((a) => a.kernelTimeMs > 0)\n .reduce((a, b) => a += b.kernelTimeMs, 0);\n const slowest = raw.kernels\n .map((a, i) => { a.id = i; return a; })\n .filter((a) => a.kernelTimeMs > 0)\n .sort((a, b) => b.kernelTimeMs - a.kernelTimeMs);\n const largest = raw.kernels\n .map((a, i) => { a.id = i; return a; })\n .filter((a) => a.totalBytesSnapshot > 0)\n .sort((a, b) => b.totalBytesSnapshot - a.totalBytesSnapshot);\n if (slowest.length > maxResults) slowest.length = maxResults;\n if (largest.length > maxResults) largest.length = maxResults;\n const res = { newBytes: raw.newBytes, newTensors: raw.newTensors, peakBytes: raw.peakBytes, numKernelOps: raw.kernels.length, timeKernelOps: time, slowestKernelOps: slowest, largestKernelOps: largest };\n data[name] = res;\n log('Human profiler', name, res);\n}\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as profile from '../profile';\n\nlet model;\nlet last = { age: 0 };\nlet skipped = Number.MAX_SAFE_INTEGER;\n\nexport async function load(config) {\n if (!model) {\n model = await tf.loadGraphModel(config.face.age.modelPath);\n log(`load model: ${config.face.age.modelPath.match(/\\/(.*)\\./)[1]}`);\n }\n return model;\n}\n\nexport async function predict(image, config) {\n if (!model) return null;\n if ((skipped < config.face.age.skipFrames) && config.videoOptimized && last.age && (last.age > 0)) {\n skipped++;\n return last;\n }\n if (config.videoOptimized) skipped = 0;\n else skipped = Number.MAX_SAFE_INTEGER;\n return new Promise(async (resolve) => {\n /*\n const zoom = [0, 0]; // 0..1 meaning 0%..100%\n const box = [[\n (image.shape[1] * zoom[0]) / image.shape[1],\n (image.shape[2] * zoom[1]) / image.shape[2],\n (image.shape[1] - (image.shape[1] * zoom[0])) / image.shape[1],\n (image.shape[2] - (image.shape[2] * zoom[1])) / image.shape[2],\n ]];\n const resize = tf.image.cropAndResize(image, box, [0], [config.face.age.inputSize, config.face.age.inputSize]);\n */\n const resize = tf.image.resizeBilinear(image, [config.face.age.inputSize, config.face.age.inputSize], false);\n const enhance = tf.mul(resize, [255.0]);\n tf.dispose(resize);\n\n let ageT;\n const obj = { age: 0 };\n\n if (!config.profile) {\n if (config.face.age.enabled) ageT = await model.predict(enhance);\n } else {\n const profileAge = config.face.age.enabled ? await tf.profile(() => model.predict(enhance)) : {};\n ageT = profileAge.result.clone();\n profileAge.result.dispose();\n profile.run('age', profileAge);\n }\n enhance.dispose();\n\n if (ageT) {\n const data = ageT.dataSync();\n obj.age = Math.trunc(10 * data[0]) / 10;\n }\n ageT.dispose();\n\n last = obj;\n resolve(obj);\n });\n}\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as profile from '../profile';\n\nlet model;\nlet last = { gender: '' };\nlet skipped = Number.MAX_SAFE_INTEGER;\nlet alternative = false;\n\n// tuning values\nconst rgb = [0.2989, 0.5870, 0.1140]; // factors for red/green/blue colors when converting to grayscale\n\nexport async function load(config) {\n if (!model) {\n model = await tf.loadGraphModel(config.face.gender.modelPath);\n alternative = model.inputs[0].shape[3] === 1;\n log(`load model: ${config.face.gender.modelPath.match(/\\/(.*)\\./)[1]}`);\n }\n return model;\n}\n\nexport async function predict(image, config) {\n if (!model) return null;\n if ((skipped < config.face.gender.skipFrames) && config.videoOptimized && last.gender !== '') {\n skipped++;\n return last;\n }\n if (config.videoOptimized) skipped = 0;\n else skipped = Number.MAX_SAFE_INTEGER;\n return new Promise(async (resolve) => {\n const resize = tf.image.resizeBilinear(image, [config.face.gender.inputSize, config.face.gender.inputSize], false);\n let enhance;\n if (alternative) {\n enhance = tf.tidy(() => {\n const [red, green, blue] = tf.split(resize, 3, 3);\n const redNorm = tf.mul(red, rgb[0]);\n const greenNorm = tf.mul(green, rgb[1]);\n const blueNorm = tf.mul(blue, rgb[2]);\n const grayscale = tf.addN([redNorm, greenNorm, blueNorm]);\n return grayscale.sub(0.5).mul(2);\n });\n } else {\n enhance = tf.mul(resize, [255.0]);\n }\n tf.dispose(resize);\n\n let genderT;\n const obj = { gender: '', confidence: 0 };\n\n if (!config.profile) {\n if (config.face.gender.enabled) genderT = await model.predict(enhance);\n } else {\n const profileGender = config.face.gender.enabled ? await tf.profile(() => model.predict(enhance)) : {};\n genderT = profileGender.result.clone();\n profileGender.result.dispose();\n profile.run('gender', profileGender);\n }\n enhance.dispose();\n\n if (genderT) {\n const data = genderT.dataSync();\n if (alternative) {\n // returns two values 0..1, bigger one is prediction\n const confidence = Math.trunc(100 * Math.abs(data[0] - data[1])) / 100;\n if (confidence > config.face.gender.minConfidence) {\n obj.gender = data[0] > data[1] ? 'female' : 'male';\n obj.confidence = confidence;\n }\n } else {\n // returns one value 0..1, .5 is prediction threshold\n const confidence = Math.trunc(200 * Math.abs((data[0] - 0.5))) / 100;\n if (confidence > config.face.gender.minConfidence) {\n obj.gender = data[0] <= 0.5 ? 'female' : 'male';\n obj.confidence = Math.min(0.99, confidence);\n }\n }\n }\n genderT.dispose();\n\n last = obj;\n resolve(obj);\n });\n}\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as profile from '../profile';\n\nconst annotations = ['angry', 'disgust', 'fear', 'happy', 'sad', 'surprise', 'neutral'];\nlet model;\nlet last: Array<{ score: number, emotion: string }> = [];\nlet skipped = Number.MAX_SAFE_INTEGER;\n\n// tuning values\nconst rgb = [0.2989, 0.5870, 0.1140]; // factors for red/green/blue colors when converting to grayscale\nconst scale = 1; // score multiplication factor\n\nexport async function load(config) {\n if (!model) {\n model = await tf.loadGraphModel(config.face.emotion.modelPath);\n log(`load model: ${config.face.emotion.modelPath.match(/\\/(.*)\\./)[1]}`);\n }\n return model;\n}\n\nexport async function predict(image, config) {\n if (!model) return null;\n if ((skipped < config.face.emotion.skipFrames) && config.videoOptimized && (last.length > 0)) {\n skipped++;\n return last;\n }\n if (config.videoOptimized) skipped = 0;\n else skipped = Number.MAX_SAFE_INTEGER;\n return new Promise(async (resolve) => {\n /*\n const zoom = [0, 0]; // 0..1 meaning 0%..100%\n const box = [[\n (image.shape[1] * zoom[0]) / image.shape[1],\n (image.shape[2] * zoom[1]) / image.shape[2],\n (image.shape[1] - (image.shape[1] * zoom[0])) / image.shape[1],\n (image.shape[2] - (image.shape[2] * zoom[1])) / image.shape[2],\n ]];\n const resize = tf.image.cropAndResize(image, box, [0], [config.face.emotion.inputSize, config.face.emotion.inputSize]);\n */\n const resize = tf.image.resizeBilinear(image, [config.face.emotion.inputSize, config.face.emotion.inputSize], false);\n const [red, green, blue] = tf.split(resize, 3, 3);\n resize.dispose();\n // weighted rgb to grayscale: https://www.mathworks.com/help/matlab/ref/rgb2gray.html\n const redNorm = tf.mul(red, rgb[0]);\n const greenNorm = tf.mul(green, rgb[1]);\n const blueNorm = tf.mul(blue, rgb[2]);\n red.dispose();\n green.dispose();\n blue.dispose();\n const grayscale = tf.addN([redNorm, greenNorm, blueNorm]);\n redNorm.dispose();\n greenNorm.dispose();\n blueNorm.dispose();\n const normalize = tf.tidy(() => grayscale.sub(0.5).mul(2));\n grayscale.dispose();\n const obj: Array<{ score: number, emotion: string }> = [];\n if (config.face.emotion.enabled) {\n let data;\n if (!config.profile) {\n const emotionT = await model.predict(normalize);\n data = emotionT.dataSync();\n tf.dispose(emotionT);\n } else {\n const profileData = await tf.profile(() => model.predict(normalize));\n data = profileData.result.dataSync();\n profileData.result.dispose();\n profile.run('emotion', profileData);\n }\n for (let i = 0; i < data.length; i++) {\n if (scale * data[i] > config.face.emotion.minConfidence) obj.push({ score: Math.min(0.99, Math.trunc(100 * scale * data[i]) / 100), emotion: annotations[i] });\n }\n obj.sort((a, b) => b.score - a.score);\n }\n normalize.dispose();\n last = obj;\n resolve(obj);\n });\n}\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as profile from '../profile';\n\n// based on https://github.com/sirius-ai/MobileFaceNet_TF\n// model converted from https://github.com/sirius-ai/MobileFaceNet_TF/files/3551493/FaceMobileNet192_train_false.zip\n\nlet model;\n\nexport async function load(config) {\n if (!model) {\n model = await tf.loadGraphModel(config.face.embedding.modelPath);\n log(`load model: ${config.face.embedding.modelPath.match(/\\/(.*)\\./)[1]}`);\n }\n return model;\n}\n\nexport function simmilarity(embedding1, embedding2) {\n if (!embedding1 || embedding2) return 0;\n if (embedding1?.length === 0 || embedding2?.length === 0) return 0;\n if (embedding1?.length !== embedding2?.length) return 0;\n // general minkowski distance\n // euclidean distance is limited case where order is 2\n const order = 2;\n const distance = 10.0 * ((embedding1.map((val, i) => (val - embedding2[i])).reduce((dist, diff) => dist + (diff ** order), 0) ** (1 / order)));\n return (Math.trunc(1000 * (1 - distance)) / 1000);\n}\n\nexport async function predict(image, config) {\n if (!model) return null;\n return new Promise(async (resolve) => {\n const resize = tf.image.resizeBilinear(image, [config.face.embedding.inputSize, config.face.embedding.inputSize], false);\n // const normalize = tf.tidy(() => resize.div(127.5).sub(0.5)); // this is -0.5...0.5 ???\n let data: Array<[]> = [];\n if (config.face.embedding.enabled) {\n if (!config.profile) {\n const embeddingT = await model.predict({ img_inputs: resize });\n data = [...embeddingT.dataSync()]; // convert object array to standard array\n tf.dispose(embeddingT);\n } else {\n const profileData = await tf.profile(() => model.predict({ img_inputs: resize }));\n data = [...profileData.result.dataSync()];\n profileData.result.dispose();\n profile.run('emotion', profileData);\n }\n }\n resize.dispose();\n // normalize.dispose();\n resolve(data);\n });\n}\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as modelBase from './modelBase';\nimport * as decodeMultiple from './decodeMultiple';\nimport * as decodePose from './decodePose';\nimport * as util from './util';\n\nasync function estimateMultiple(input, res, config) {\n return new Promise(async (resolve) => {\n const height = input.shape[1];\n const width = input.shape[2];\n const allTensorBuffers = await util.toTensorBuffers3D([res.heatmapScores, res.offsets, res.displacementFwd, res.displacementBwd]);\n const scoresBuffer = allTensorBuffers[0];\n const offsetsBuffer = allTensorBuffers[1];\n const displacementsFwdBuffer = allTensorBuffers[2];\n const displacementsBwdBuffer = allTensorBuffers[3];\n const poses = await decodeMultiple.decodeMultiplePoses(scoresBuffer, offsetsBuffer, displacementsFwdBuffer, displacementsBwdBuffer, config);\n const scaled = util.scaleAndFlipPoses(poses, [height, width], [config.body.inputSize, config.body.inputSize]);\n resolve(scaled);\n });\n}\n\nasync function estimateSingle(input, res, config) {\n return new Promise(async (resolve) => {\n const height = input.shape[1];\n const width = input.shape[2];\n const pose = await decodePose.decodeSinglePose(res.heatmapScores, res.offsets, config);\n const poses = [pose];\n const scaled = util.scaleAndFlipPoses(poses, [height, width], [config.body.inputSize, config.body.inputSize]);\n resolve(scaled);\n });\n}\n\nexport class PoseNet {\n baseModel: any;\n constructor(model) {\n this.baseModel = model;\n }\n\n async estimatePoses(input, config) {\n const resized = util.resizeTo(input, [config.body.inputSize, config.body.inputSize]);\n const res = this.baseModel.predict(resized, config);\n\n const poses = (config.body.maxDetections < 2) ? await estimateSingle(input, res, config) : await estimateMultiple(input, res, config);\n\n res.heatmapScores.dispose();\n res.offsets.dispose();\n res.displacementFwd.dispose();\n res.displacementBwd.dispose();\n resized.dispose();\n\n return poses;\n }\n\n dispose() {\n this.baseModel.dispose();\n }\n}\n\nexport async function load(config) {\n const model = await tf.loadGraphModel(config.body.modelPath);\n const mobilenet = new modelBase.BaseModel(model);\n log(`load model: ${config.body.modelPath.match(/\\/(.*)\\./)[1]}`);\n return new PoseNet(mobilenet);\n}\n", "import * as tf from '../../dist/tfjs.esm.js';\n\nconst imageNetMean = [-123.15, -115.90, -103.06];\n\nfunction nameOutputResultsMobileNet(results) {\n const [offsets, heatmap, displacementFwd, displacementBwd] = results;\n return { offsets, heatmap, displacementFwd, displacementBwd };\n}\n\nfunction nameOutputResultsResNet(results) {\n const [displacementFwd, displacementBwd, offsets, heatmap] = results;\n return { offsets, heatmap, displacementFwd, displacementBwd };\n}\n\nexport class BaseModel {\n model: any;\n constructor(model) {\n this.model = model;\n }\n\n predict(input, config) {\n return tf.tidy(() => {\n const asFloat = (config.body.modelType === 'ResNet') ? input.toFloat().add(imageNetMean) : input.toFloat().div(127.5).sub(1.0);\n const asBatch = asFloat.expandDims(0);\n const results = this.model.predict(asBatch);\n const results3d = results.map((y) => y.squeeze([0]));\n const namedResults = (config.body.modelType === 'ResNet') ? nameOutputResultsResNet(results3d) : nameOutputResultsMobileNet(results3d);\n return {\n heatmapScores: namedResults.heatmap.sigmoid(),\n offsets: namedResults.offsets,\n displacementFwd: namedResults.displacementFwd,\n displacementBwd: namedResults.displacementBwd,\n };\n });\n }\n\n dispose() {\n this.model.dispose();\n }\n}\n", "// algorithm based on Coursera Lecture from Algorithms, Part 1: https://www.coursera.org/learn/algorithms-part1/lecture/ZjoSM/heapsort\nfunction half(k) {\n return Math.floor(k / 2);\n}\nexport class MaxHeap {\n priorityQueue: any;\n numberOfElements: number;\n getElementValue: any;\n\n constructor(maxSize, getElementValue) {\n this.priorityQueue = new Array(maxSize);\n this.numberOfElements = -1;\n this.getElementValue = getElementValue;\n }\n\n enqueue(x) {\n this.priorityQueue[++this.numberOfElements] = x;\n this.swim(this.numberOfElements);\n }\n\n dequeue() {\n const max = this.priorityQueue[0];\n this.exchange(0, this.numberOfElements--);\n this.sink(0);\n this.priorityQueue[this.numberOfElements + 1] = null;\n return max;\n }\n\n empty() {\n return this.numberOfElements === -1;\n }\n\n size() {\n return this.numberOfElements + 1;\n }\n\n all() {\n return this.priorityQueue.slice(0, this.numberOfElements + 1);\n }\n\n max() {\n return this.priorityQueue[0];\n }\n\n swim(k) {\n while (k > 0 && this.less(half(k), k)) {\n this.exchange(k, half(k));\n k = half(k);\n }\n }\n\n sink(k) {\n while (2 * k <= this.numberOfElements) {\n let j = 2 * k;\n if (j < this.numberOfElements && this.less(j, j + 1)) j++;\n if (!this.less(k, j)) break;\n this.exchange(k, j);\n k = j;\n }\n }\n\n getValueAt(i) {\n return this.getElementValue(this.priorityQueue[i]);\n }\n\n less(i, j) {\n return this.getValueAt(i) < this.getValueAt(j);\n }\n\n exchange(i, j) {\n const t = this.priorityQueue[i];\n this.priorityQueue[i] = this.priorityQueue[j];\n this.priorityQueue[j] = t;\n }\n}\n", "import * as heapSort from './heapSort';\n\nfunction scoreIsMaximumInLocalWindow(keypointId, score, heatmapY, heatmapX, localMaximumRadius, scores) {\n const [height, width] = scores.shape;\n let localMaximum = true;\n const yStart = Math.max(heatmapY - localMaximumRadius, 0);\n const yEnd = Math.min(heatmapY + localMaximumRadius + 1, height);\n for (let yCurrent = yStart; yCurrent < yEnd; ++yCurrent) {\n const xStart = Math.max(heatmapX - localMaximumRadius, 0);\n const xEnd = Math.min(heatmapX + localMaximumRadius + 1, width);\n for (let xCurrent = xStart; xCurrent < xEnd; ++xCurrent) {\n if (scores.get(yCurrent, xCurrent, keypointId) > score) {\n localMaximum = false;\n break;\n }\n }\n if (!localMaximum) break;\n }\n return localMaximum;\n}\n\nexport function buildPartWithScoreQueue(scoreThreshold, localMaximumRadius, scores) {\n const [height, width, numKeypoints] = scores.shape;\n const queue = new heapSort.MaxHeap(height * width * numKeypoints, ({ score }) => score);\n for (let heatmapY = 0; heatmapY < height; ++heatmapY) {\n for (let heatmapX = 0; heatmapX < width; ++heatmapX) {\n for (let keypointId = 0; keypointId < numKeypoints; ++keypointId) {\n const score = scores.get(heatmapY, heatmapX, keypointId);\n // Only consider parts with score greater or equal to threshold as root candidates.\n if (score < scoreThreshold) continue;\n // Only consider keypoints whose score is maximum in a local window.\n if (scoreIsMaximumInLocalWindow(keypointId, score, heatmapY, heatmapX, localMaximumRadius, scores)) {\n queue.enqueue({ score, part: { heatmapY, heatmapX, id: keypointId } });\n }\n }\n }\n }\n return queue;\n}\n", "import * as keypoints from './keypoints';\nimport * as vectors from './vectors';\nimport * as decoders from './decoders';\n\nconst parentChildrenTuples = keypoints.poseChain.map(([parentJoinName, childJoinName]) => ([keypoints.partIds[parentJoinName], keypoints.partIds[childJoinName]]));\nconst parentToChildEdges = parentChildrenTuples.map(([, childJointId]) => childJointId);\nconst childToParentEdges = parentChildrenTuples.map(([parentJointId]) => parentJointId);\nfunction getDisplacement(edgeId, point, displacements) {\n const numEdges = displacements.shape[2] / 2;\n return {\n y: displacements.get(point.y, point.x, edgeId),\n x: displacements.get(point.y, point.x, numEdges + edgeId),\n };\n}\nfunction getStridedIndexNearPoint(point, outputStride, height, width) {\n return {\n y: vectors.clamp(Math.round(point.y / outputStride), 0, height - 1),\n x: vectors.clamp(Math.round(point.x / outputStride), 0, width - 1),\n };\n}\n\nfunction traverseToTargetKeypoint(edgeId, sourceKeypoint, targetKeypointId, scoresBuffer, offsets, outputStride, displacements, offsetRefineStep = 2) {\n const [height, width] = scoresBuffer.shape;\n // Nearest neighbor interpolation for the source->target displacements.\n const sourceKeypointIndices = getStridedIndexNearPoint(sourceKeypoint.position, outputStride, height, width);\n const displacement = getDisplacement(edgeId, sourceKeypointIndices, displacements);\n const displacedPoint = vectors.addVectors(sourceKeypoint.position, displacement);\n let targetKeypoint = displacedPoint;\n for (let i = 0; i < offsetRefineStep; i++) {\n const targetKeypointIndices = getStridedIndexNearPoint(targetKeypoint, outputStride, height, width);\n const offsetPoint = vectors.getOffsetPoint(targetKeypointIndices.y, targetKeypointIndices.x, targetKeypointId, offsets);\n targetKeypoint = vectors.addVectors({\n x: targetKeypointIndices.x * outputStride,\n y: targetKeypointIndices.y * outputStride,\n }, { x: offsetPoint.x, y: offsetPoint.y });\n }\n const targetKeyPointIndices = getStridedIndexNearPoint(targetKeypoint, outputStride, height, width);\n const score = scoresBuffer.get(targetKeyPointIndices.y, targetKeyPointIndices.x, targetKeypointId);\n return { position: targetKeypoint, part: keypoints.partNames[targetKeypointId], score };\n}\n\nexport function decodePose(root, scores, offsets, outputStride, displacementsFwd, displacementsBwd) {\n const numParts = scores.shape[2];\n const numEdges = parentToChildEdges.length;\n const instanceKeypoints = new Array(numParts);\n // Start a new detection instance at the position of the root.\n const { part: rootPart, score: rootScore } = root;\n const rootPoint = vectors.getImageCoords(rootPart, outputStride, offsets);\n instanceKeypoints[rootPart.id] = {\n score: rootScore,\n part: keypoints.partNames[rootPart.id],\n position: rootPoint,\n };\n // Decode the part positions upwards in the tree, following the backward displacements.\n for (let edge = numEdges - 1; edge >= 0; --edge) {\n const sourceKeypointId = parentToChildEdges[edge];\n const targetKeypointId = childToParentEdges[edge];\n if (instanceKeypoints[sourceKeypointId] && !instanceKeypoints[targetKeypointId]) {\n instanceKeypoints[targetKeypointId] = traverseToTargetKeypoint(edge, instanceKeypoints[sourceKeypointId], targetKeypointId, scores, offsets, outputStride, displacementsBwd);\n }\n }\n // Decode the part positions downwards in the tree, following the forward displacements.\n for (let edge = 0; edge < numEdges; ++edge) {\n const sourceKeypointId = childToParentEdges[edge];\n const targetKeypointId = parentToChildEdges[edge];\n if (instanceKeypoints[sourceKeypointId] && !instanceKeypoints[targetKeypointId]) {\n instanceKeypoints[targetKeypointId] = traverseToTargetKeypoint(edge, instanceKeypoints[sourceKeypointId], targetKeypointId, scores, offsets, outputStride, displacementsFwd);\n }\n }\n return instanceKeypoints;\n}\n\nexport async function decodeSinglePose(heatmapScores, offsets, config) {\n let totalScore = 0.0;\n const heatmapValues = decoders.argmax2d(heatmapScores);\n const allTensorBuffers = await Promise.all([heatmapScores.buffer(), offsets.buffer(), heatmapValues.buffer()]);\n const scoresBuffer = allTensorBuffers[0];\n const offsetsBuffer = allTensorBuffers[1];\n const heatmapValuesBuffer = allTensorBuffers[2];\n const offsetPoints = decoders.getOffsetPoints(heatmapValuesBuffer, config.body.outputStride, offsetsBuffer);\n const offsetPointsBuffer = await offsetPoints.buffer();\n const keypointConfidence = Array.from(decoders.getPointsConfidence(scoresBuffer, heatmapValuesBuffer));\n const instanceKeypoints = keypointConfidence.map((score, i) => {\n totalScore += score;\n return {\n position: {\n y: offsetPointsBuffer.get(i, 0),\n x: offsetPointsBuffer.get(i, 1),\n },\n part: keypoints.partNames[i],\n score,\n };\n });\n const filteredKeypoints = instanceKeypoints.filter((kpt) => kpt.score > config.body.scoreThreshold);\n heatmapValues.dispose();\n offsetPoints.dispose();\n return { keypoints: filteredKeypoints, score: totalScore / instanceKeypoints.length };\n}\n", "import * as kpt from './keypoints';\n\nexport function getOffsetPoint(y, x, keypoint, offsets) {\n return {\n y: offsets.get(y, x, keypoint),\n x: offsets.get(y, x, keypoint + kpt.NUM_KEYPOINTS),\n };\n}\n\nexport function getImageCoords(part, outputStride, offsets) {\n const { heatmapY, heatmapX, id: keypoint } = part;\n const { y, x } = getOffsetPoint(heatmapY, heatmapX, keypoint, offsets);\n return {\n x: part.heatmapX * outputStride + x,\n y: part.heatmapY * outputStride + y,\n };\n}\n\nexport function fillArray(element, size) {\n const result = new Array(size);\n for (let i = 0; i < size; i++) {\n result[i] = element;\n }\n return result;\n}\n\nexport function clamp(a, min, max) {\n if (a < min) return min;\n if (a > max) return max;\n return a;\n}\n\nexport function squaredDistance(y1, x1, y2, x2) {\n const dy = y2 - y1;\n const dx = x2 - x1;\n return dy * dy + dx * dx;\n}\n\nexport function addVectors(a, b) {\n return { x: a.x + b.x, y: a.y + b.y };\n}\n\nexport function clampVector(a, min, max) {\n return { y: clamp(a.y, min, max), x: clamp(a.x, min, max) };\n}\n", "import * as tf from '../../dist/tfjs.esm.js';\nimport * as kpt from './keypoints';\n\nexport function getPointsConfidence(heatmapScores, heatMapCoords) {\n const numKeypoints = heatMapCoords.shape[0];\n const result = new Float32Array(numKeypoints);\n for (let keypoint = 0; keypoint < numKeypoints; keypoint++) {\n const y = heatMapCoords.get(keypoint, 0);\n const x = heatMapCoords.get(keypoint, 1);\n result[keypoint] = heatmapScores.get(y, x, keypoint);\n }\n return result;\n}\n\nfunction getOffsetPoint(y, x, keypoint, offsetsBuffer) {\n return {\n y: offsetsBuffer.get(y, x, keypoint),\n x: offsetsBuffer.get(y, x, keypoint + kpt.NUM_KEYPOINTS),\n };\n}\n\nexport function getOffsetVectors(heatMapCoordsBuffer, offsetsBuffer) {\n const result: Array = [];\n for (let keypoint = 0; keypoint < kpt.NUM_KEYPOINTS; keypoint++) {\n const heatmapY = heatMapCoordsBuffer.get(keypoint, 0).valueOf();\n const heatmapX = heatMapCoordsBuffer.get(keypoint, 1).valueOf();\n const { x, y } = getOffsetPoint(heatmapY, heatmapX, keypoint, offsetsBuffer);\n result.push(y);\n result.push(x);\n }\n return tf.tensor2d(result, [kpt.NUM_KEYPOINTS, 2]);\n}\n\nexport function getOffsetPoints(heatMapCoordsBuffer, outputStride, offsetsBuffer) {\n return tf.tidy(() => heatMapCoordsBuffer.toTensor().mul(tf.scalar(outputStride, 'int32')).toFloat().add(getOffsetVectors(heatMapCoordsBuffer, offsetsBuffer)));\n}\n\nfunction mod(a, b) {\n return tf.tidy(() => {\n const floored = a.div(tf.scalar(b, 'int32'));\n return a.sub(floored.mul(tf.scalar(b, 'int32')));\n });\n}\n\nexport function argmax2d(inputs) {\n const [height, width, depth] = inputs.shape;\n return tf.tidy(() => {\n const reshaped = inputs.reshape([height * width, depth]);\n const coords = reshaped.argMax(0);\n const yCoords = coords.div(tf.scalar(width, 'int32')).expandDims(1);\n const xCoords = mod(coords, width).expandDims(1);\n return tf.concat([yCoords, xCoords], 1);\n });\n}\n", "import * as buildParts from './buildParts';\nimport * as decodePose from './decodePose';\nimport * as vectors from './vectors';\n\nconst kLocalMaximumRadius = 1;\n\nfunction withinNmsRadiusOfCorrespondingPoint(poses, squaredNmsRadius, { x, y }, keypointId) {\n return poses.some(({ keypoints }) => {\n const correspondingKeypoint = keypoints[keypointId].position;\n return vectors.squaredDistance(y, x, correspondingKeypoint.y, correspondingKeypoint.x) <= squaredNmsRadius;\n });\n}\n\nfunction getInstanceScore(existingPoses, squaredNmsRadius, instanceKeypoints) {\n const notOverlappedKeypointScores = instanceKeypoints.reduce((result, { position, score }, keypointId) => {\n if (!withinNmsRadiusOfCorrespondingPoint(existingPoses, squaredNmsRadius, position, keypointId)) result += score;\n return result;\n }, 0.0);\n return notOverlappedKeypointScores / instanceKeypoints.length;\n}\n\nexport function decodeMultiplePoses(scoresBuffer, offsetsBuffer, displacementsFwdBuffer, displacementsBwdBuffer, config) {\n const poses: Array<{ keypoints: any, score: number }> = [];\n const queue = buildParts.buildPartWithScoreQueue(config.body.scoreThreshold, kLocalMaximumRadius, scoresBuffer);\n const squaredNmsRadius = config.body.nmsRadius ^ 2;\n // Generate at most maxDetections object instances per image in decreasing root part score order.\n while (poses.length < config.body.maxDetections && !queue.empty()) {\n // The top element in the queue is the next root candidate.\n const root = queue.dequeue();\n // Part-based non-maximum suppression: We reject a root candidate if it is within a disk of `nmsRadius` pixels from the corresponding part of a previously detected instance.\n const rootImageCoords = vectors.getImageCoords(root.part, config.body.outputStride, offsetsBuffer);\n if (withinNmsRadiusOfCorrespondingPoint(poses, squaredNmsRadius, rootImageCoords, root.part.id)) continue;\n // Else start a new detection instance at the position of the root.\n const keypoints = decodePose.decodePose(root, scoresBuffer, offsetsBuffer, config.body.outputStride, displacementsFwdBuffer, displacementsBwdBuffer);\n const score = getInstanceScore(poses, squaredNmsRadius, keypoints);\n if (score > config.body.scoreThreshold) poses.push({ keypoints, score });\n }\n return poses;\n}\n", "import * as kpt from './keypoints';\n\nexport function eitherPointDoesntMeetConfidence(a, b, minConfidence) {\n return (a < minConfidence || b < minConfidence);\n}\n\nexport function getAdjacentKeyPoints(keypoints, minConfidence) {\n return kpt.connectedPartIndices.reduce((result, [leftJoint, rightJoint]) => {\n if (eitherPointDoesntMeetConfidence(keypoints[leftJoint].score, keypoints[rightJoint].score, minConfidence)) {\n return result;\n }\n result.push([keypoints[leftJoint], keypoints[rightJoint]]);\n return result;\n }, []);\n}\n\nconst { NEGATIVE_INFINITY, POSITIVE_INFINITY } = Number;\nexport function getBoundingBox(keypoints) {\n return keypoints.reduce(({ maxX, maxY, minX, minY }, { position: { x, y } }) => ({\n maxX: Math.max(maxX, x),\n maxY: Math.max(maxY, y),\n minX: Math.min(minX, x),\n minY: Math.min(minY, y),\n }), {\n maxX: NEGATIVE_INFINITY,\n maxY: NEGATIVE_INFINITY,\n minX: POSITIVE_INFINITY,\n minY: POSITIVE_INFINITY,\n });\n}\n\nexport function getBoundingBoxPoints(keypoints) {\n const { minX, minY, maxX, maxY } = getBoundingBox(keypoints);\n return [{ x: minX, y: minY }, { x: maxX, y: minY }, { x: maxX, y: maxY }, { x: minX, y: maxY }];\n}\n\nexport async function toTensorBuffers3D(tensors) {\n return Promise.all(tensors.map((tensor) => tensor.buffer()));\n}\n\nexport function scalePose(pose, scaleY, scaleX) {\n return {\n score: pose.score,\n keypoints: pose.keypoints.map(({ score, part, position }) => ({\n score,\n part,\n position: { x: position.x * scaleX, y: position.y * scaleY },\n })),\n };\n}\n\nexport function resizeTo(image, [targetH, targetW]) {\n const input = image.squeeze(0);\n const resized = input.resizeBilinear([targetH, targetW]);\n input.dispose();\n return resized;\n}\n\nexport function scaleAndFlipPoses(poses, [height, width], [inputResolutionHeight, inputResolutionWidth]) {\n const scaledPoses = poses.map((pose) => scalePose(pose, height / inputResolutionHeight, width / inputResolutionWidth));\n return scaledPoses;\n}\n", "// https://storage.googleapis.com/tfjs-models/demos/handpose/index.html\n\nimport { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as handdetector from './handdetector';\nimport * as handpipeline from './handpipeline';\nimport * as anchors from './anchors';\n\nconst MESH_ANNOTATIONS = {\n thumb: [1, 2, 3, 4],\n indexFinger: [5, 6, 7, 8],\n middleFinger: [9, 10, 11, 12],\n ringFinger: [13, 14, 15, 16],\n pinky: [17, 18, 19, 20],\n palmBase: [0],\n};\n\nexport class HandPose {\n handPipeline: any;\n\n constructor(handPipeline) {\n this.handPipeline = handPipeline;\n }\n\n static getAnnotations() {\n return MESH_ANNOTATIONS;\n }\n\n async estimateHands(input, config) {\n const predictions = await this.handPipeline.estimateHands(input, config);\n if (!predictions) return [];\n const hands: Array<{ confidence: number, box: any, landmarks: any, annotations: any }> = [];\n for (const prediction of predictions) {\n const annotations = {};\n if (prediction.landmarks) {\n for (const key of Object.keys(MESH_ANNOTATIONS)) {\n annotations[key] = MESH_ANNOTATIONS[key].map((index) => prediction.landmarks[index]);\n }\n }\n const box = prediction.box ? [\n Math.max(0, prediction.box.topLeft[0]),\n Math.max(0, prediction.box.topLeft[1]),\n Math.min(input.shape[2], prediction.box.bottomRight[0]) - prediction.box.topLeft[0],\n Math.min(input.shape[1], prediction.box.bottomRight[1]) - prediction.box.topLeft[1],\n ] : 0;\n hands.push({ confidence: prediction.confidence, box, landmarks: prediction.landmarks, annotations });\n }\n return hands;\n }\n}\n\nexport async function load(config) {\n const [handDetectorModel, handPoseModel] = await Promise.all([\n config.hand.enabled ? tf.loadGraphModel(config.hand.detector.modelPath, { fromTFHub: config.hand.detector.modelPath.includes('tfhub.dev') }) : null,\n config.hand.landmarks ? tf.loadGraphModel(config.hand.skeleton.modelPath, { fromTFHub: config.hand.skeleton.modelPath.includes('tfhub.dev') }) : null,\n ]);\n const handDetector = new handdetector.HandDetector(handDetectorModel, config.hand.inputSize, anchors.anchors);\n const handPipeline = new handpipeline.HandPipeline(handDetector, handPoseModel, config.hand.inputSize);\n const handPose = new HandPose(handPipeline);\n if (config.hand.enabled) log(`load model: ${config.hand.detector.modelPath.match(/\\/(.*)\\./)[1]}`);\n if (config.hand.landmarks) log(`load model: ${config.hand.skeleton.modelPath.match(/\\/(.*)\\./)[1]}`);\n return handPose;\n}\n", "import * as tf from '../../dist/tfjs.esm.js';\nimport * as box from './box';\n\nexport class HandDetector {\n model: any;\n anchors: any;\n anchorsTensor: any;\n inputSizeTensor: any;\n doubleInputSizeTensor: any;\n\n constructor(model, inputSize, anchorsAnnotated) {\n this.model = model;\n this.anchors = anchorsAnnotated.map((anchor) => [anchor.x_center, anchor.y_center]);\n this.anchorsTensor = tf.tensor2d(this.anchors);\n this.inputSizeTensor = tf.tensor1d([inputSize, inputSize]);\n this.doubleInputSizeTensor = tf.tensor1d([inputSize * 2, inputSize * 2]);\n }\n\n normalizeBoxes(boxes) {\n return tf.tidy(() => {\n const boxOffsets = tf.slice(boxes, [0, 0], [-1, 2]);\n const boxSizes = tf.slice(boxes, [0, 2], [-1, 2]);\n const boxCenterPoints = tf.add(tf.div(boxOffsets, this.inputSizeTensor), this.anchorsTensor);\n const halfBoxSizes = tf.div(boxSizes, this.doubleInputSizeTensor);\n const startPoints = tf.mul(tf.sub(boxCenterPoints, halfBoxSizes), this.inputSizeTensor);\n const endPoints = tf.mul(tf.add(boxCenterPoints, halfBoxSizes), this.inputSizeTensor);\n return tf.concat2d([startPoints, endPoints], 1);\n });\n }\n\n normalizeLandmarks(rawPalmLandmarks, index) {\n return tf.tidy(() => {\n const landmarks = tf.add(tf.div(rawPalmLandmarks.reshape([-1, 7, 2]), this.inputSizeTensor), this.anchors[index]);\n return tf.mul(landmarks, this.inputSizeTensor);\n });\n }\n\n async getBoxes(input, config) {\n const batched = this.model.predict(input);\n const predictions = batched.squeeze();\n batched.dispose();\n const scoresT = tf.tidy(() => tf.sigmoid(tf.slice(predictions, [0, 0], [-1, 1])).squeeze());\n const scores = scoresT.dataSync();\n const rawBoxes = tf.slice(predictions, [0, 1], [-1, 4]);\n const boxes = this.normalizeBoxes(rawBoxes);\n rawBoxes.dispose();\n const filteredT = await tf.image.nonMaxSuppressionAsync(boxes, scores, config.hand.maxHands, config.hand.iouThreshold, config.hand.scoreThreshold);\n const filtered = filteredT.arraySync();\n\n scoresT.dispose();\n filteredT.dispose();\n const hands: Array<{ box: any, palmLandmarks: any, confidence: number }> = [];\n for (const index of filtered) {\n if (scores[index] >= config.hand.minConfidence) {\n const matchingBox = tf.slice(boxes, [index, 0], [1, -1]);\n const rawPalmLandmarks = tf.slice(predictions, [index, 5], [1, 14]);\n const palmLandmarks = tf.tidy(() => this.normalizeLandmarks(rawPalmLandmarks, index).reshape([-1, 2]));\n rawPalmLandmarks.dispose();\n hands.push({ box: matchingBox, palmLandmarks, confidence: scores[index] });\n }\n }\n predictions.dispose();\n boxes.dispose();\n return hands;\n }\n\n async estimateHandBounds(input, config) {\n const inputHeight = input.shape[1];\n const inputWidth = input.shape[2];\n const image = tf.tidy(() => input.resizeBilinear([config.hand.inputSize, config.hand.inputSize]).div(127.5).sub(1));\n const predictions = await this.getBoxes(image, config);\n image.dispose();\n const hands: Array<{}> = [];\n if (!predictions || predictions.length === 0) return hands;\n for (const prediction of predictions) {\n const boxes = prediction.box.dataSync();\n const startPoint = boxes.slice(0, 2);\n const endPoint = boxes.slice(2, 4);\n const palmLandmarks = prediction.palmLandmarks.arraySync();\n prediction.box.dispose();\n prediction.palmLandmarks.dispose();\n hands.push(box.scaleBoxCoordinates({ startPoint, endPoint, palmLandmarks, confidence: prediction.confidence }, [inputWidth / config.hand.inputSize, inputHeight / config.hand.inputSize]));\n }\n return hands;\n }\n}\n", "import * as tf from '../../dist/tfjs.esm.js';\n\nexport function getBoxSize(box) {\n return [\n Math.abs(box.endPoint[0] - box.startPoint[0]),\n Math.abs(box.endPoint[1] - box.startPoint[1]),\n ];\n}\n\nexport function getBoxCenter(box) {\n return [\n box.startPoint[0] + (box.endPoint[0] - box.startPoint[0]) / 2,\n box.startPoint[1] + (box.endPoint[1] - box.startPoint[1]) / 2,\n ];\n}\n\nexport function cutBoxFromImageAndResize(box, image, cropSize) {\n const h = image.shape[1];\n const w = image.shape[2];\n const boxes = [[\n box.startPoint[1] / h,\n box.startPoint[0] / w,\n box.endPoint[1] / h,\n box.endPoint[0] / w,\n ]];\n return tf.image.cropAndResize(image, boxes, [0], cropSize);\n}\n\nexport function scaleBoxCoordinates(box, factor) {\n const startPoint = [box.startPoint[0] * factor[0], box.startPoint[1] * factor[1]];\n const endPoint = [box.endPoint[0] * factor[0], box.endPoint[1] * factor[1]];\n const palmLandmarks = box.palmLandmarks.map((coord) => {\n const scaledCoord = [coord[0] * factor[0], coord[1] * factor[1]];\n return scaledCoord;\n });\n return { startPoint, endPoint, palmLandmarks, confidence: box.confidence };\n}\n\nexport function enlargeBox(box, factor = 1.5) {\n const center = getBoxCenter(box);\n const size = getBoxSize(box);\n const newHalfSize = [factor * size[0] / 2, factor * size[1] / 2];\n const startPoint = [center[0] - newHalfSize[0], center[1] - newHalfSize[1]];\n const endPoint = [center[0] + newHalfSize[0], center[1] + newHalfSize[1]];\n return { startPoint, endPoint, palmLandmarks: box.palmLandmarks };\n}\n\nexport function squarifyBox(box) {\n const centers = getBoxCenter(box);\n const size = getBoxSize(box);\n const maxEdge = Math.max(...size);\n const halfSize = maxEdge / 2;\n const startPoint = [centers[0] - halfSize, centers[1] - halfSize];\n const endPoint = [centers[0] + halfSize, centers[1] + halfSize];\n return { startPoint, endPoint, palmLandmarks: box.palmLandmarks };\n}\n\nexport function shiftBox(box, shiftFactor) {\n const boxSize = [\n box.endPoint[0] - box.startPoint[0],\n box.endPoint[1] - box.startPoint[1],\n ];\n const shiftVector = [boxSize[0] * shiftFactor[0], boxSize[1] * shiftFactor[1]];\n const startPoint = [box.startPoint[0] + shiftVector[0], box.startPoint[1] + shiftVector[1]];\n const endPoint = [box.endPoint[0] + shiftVector[0], box.endPoint[1] + shiftVector[1]];\n return { startPoint, endPoint, palmLandmarks: box.palmLandmarks };\n}\n", "import * as tf from '../../dist/tfjs.esm.js';\nimport * as box from './box';\nimport * as util from './util';\n\n// const PALM_BOX_SHIFT_VECTOR = [0, -0.4];\nconst PALM_BOX_ENLARGE_FACTOR = 5; // default 3\n// const HAND_BOX_SHIFT_VECTOR = [0, -0.1]; // move detected hand box by x,y to ease landmark detection\nconst HAND_BOX_ENLARGE_FACTOR = 1.65; // default 1.65\nconst PALM_LANDMARK_IDS = [0, 5, 9, 13, 17, 1, 2];\nconst PALM_LANDMARKS_INDEX_OF_PALM_BASE = 0;\nconst PALM_LANDMARKS_INDEX_OF_MIDDLE_FINGER_BASE = 2;\n\nexport class HandPipeline {\n handDetector: any;\n landmarkDetector: any;\n inputSize: number;\n storedBoxes: any;\n skipped: number;\n detectedHands: number;\n\n constructor(handDetector, landmarkDetector, inputSize) {\n this.handDetector = handDetector;\n this.landmarkDetector = landmarkDetector;\n this.inputSize = inputSize;\n this.storedBoxes = [];\n this.skipped = 0;\n this.detectedHands = 0;\n }\n\n getBoxForPalmLandmarks(palmLandmarks, rotationMatrix) {\n const rotatedPalmLandmarks = palmLandmarks.map((coord) => util.rotatePoint([...coord, 1], rotationMatrix));\n const boxAroundPalm = this.calculateLandmarksBoundingBox(rotatedPalmLandmarks);\n // return box.enlargeBox(box.squarifyBox(box.shiftBox(boxAroundPalm, PALM_BOX_SHIFT_VECTOR)), PALM_BOX_ENLARGE_FACTOR);\n return box.enlargeBox(box.squarifyBox(boxAroundPalm), PALM_BOX_ENLARGE_FACTOR);\n }\n\n getBoxForHandLandmarks(landmarks) {\n const boundingBox = this.calculateLandmarksBoundingBox(landmarks);\n // const boxAroundHand = box.enlargeBox(box.squarifyBox(box.shiftBox(boundingBox, HAND_BOX_SHIFT_VECTOR)), HAND_BOX_ENLARGE_FACTOR);\n const boxAroundHand = box.enlargeBox(box.squarifyBox(boundingBox), HAND_BOX_ENLARGE_FACTOR);\n boxAroundHand.palmLandmarks = [];\n for (let i = 0; i < PALM_LANDMARK_IDS.length; i++) {\n boxAroundHand.palmLandmarks.push(landmarks[PALM_LANDMARK_IDS[i]].slice(0, 2));\n }\n return boxAroundHand;\n }\n\n transformRawCoords(rawCoords, box2, angle, rotationMatrix) {\n const boxSize = box.getBoxSize(box2);\n const scaleFactor = [boxSize[0] / this.inputSize, boxSize[1] / this.inputSize, (boxSize[0] + boxSize[1]) / this.inputSize / 2];\n const coordsScaled = rawCoords.map((coord) => [\n scaleFactor[0] * (coord[0] - this.inputSize / 2),\n scaleFactor[1] * (coord[1] - this.inputSize / 2),\n scaleFactor[2] * coord[2],\n ]);\n const coordsRotationMatrix = util.buildRotationMatrix(angle, [0, 0]);\n const coordsRotated = coordsScaled.map((coord) => {\n const rotated = util.rotatePoint(coord, coordsRotationMatrix);\n return [...rotated, coord[2]];\n });\n const inverseRotationMatrix = util.invertTransformMatrix(rotationMatrix);\n const boxCenter = [...box.getBoxCenter(box2), 1];\n const originalBoxCenter = [\n util.dot(boxCenter, inverseRotationMatrix[0]),\n util.dot(boxCenter, inverseRotationMatrix[1]),\n ];\n return coordsRotated.map((coord) => [\n coord[0] + originalBoxCenter[0],\n coord[1] + originalBoxCenter[1],\n coord[2],\n ]);\n }\n\n async estimateHands(image, config) {\n let useFreshBox = false;\n\n // run new detector every skipFrames unless we only want box to start with\n let boxes;\n if ((this.skipped === 0) || (this.skipped > config.hand.skipFrames) || !config.hand.landmarks || !config.videoOptimized) {\n boxes = await this.handDetector.estimateHandBounds(image, config);\n this.skipped = 0;\n }\n if (config.videoOptimized) this.skipped++;\n\n // if detector result count doesn't match current working set, use it to reset current working set\n if (boxes && (boxes.length > 0) && ((boxes.length !== this.detectedHands) && (this.detectedHands !== config.hand.maxHands) || !config.hand.landmarks)) {\n this.detectedHands = 0;\n this.storedBoxes = [...boxes];\n // for (const possible of boxes) this.storedBoxes.push(possible);\n if (this.storedBoxes.length > 0) useFreshBox = true;\n }\n const hands: Array<{}> = [];\n // log('hand', `skipped: ${this.skipped} max: ${config.hand.maxHands} detected: ${this.detectedHands} stored: ${this.storedBoxes.length} new: ${boxes?.length}`);\n\n // go through working set of boxes\n for (let i = 0; i < this.storedBoxes.length; i++) {\n const currentBox = this.storedBoxes[i];\n if (!currentBox) continue;\n if (config.hand.landmarks) {\n const angle = config.hand.rotation ? util.computeRotation(currentBox.palmLandmarks[PALM_LANDMARKS_INDEX_OF_PALM_BASE], currentBox.palmLandmarks[PALM_LANDMARKS_INDEX_OF_MIDDLE_FINGER_BASE]) : 0;\n const palmCenter = box.getBoxCenter(currentBox);\n const palmCenterNormalized = [palmCenter[0] / image.shape[2], palmCenter[1] / image.shape[1]];\n const rotatedImage = config.hand.rotation ? tf.image.rotateWithOffset(image, angle, 0, palmCenterNormalized) : image.clone();\n const rotationMatrix = util.buildRotationMatrix(-angle, palmCenter);\n const newBox = useFreshBox ? this.getBoxForPalmLandmarks(currentBox.palmLandmarks, rotationMatrix) : currentBox;\n const croppedInput = box.cutBoxFromImageAndResize(newBox, rotatedImage, [this.inputSize, this.inputSize]);\n const handImage = croppedInput.div(255);\n croppedInput.dispose();\n rotatedImage.dispose();\n const [confidenceT, keypoints] = await this.landmarkDetector.predict(handImage);\n handImage.dispose();\n const confidence = confidenceT.dataSync()[0];\n confidenceT.dispose();\n if (confidence >= config.hand.minConfidence) {\n const keypointsReshaped = tf.reshape(keypoints, [-1, 3]);\n const rawCoords = keypointsReshaped.arraySync();\n keypoints.dispose();\n keypointsReshaped.dispose();\n const coords = this.transformRawCoords(rawCoords, newBox, angle, rotationMatrix);\n const nextBoundingBox = this.getBoxForHandLandmarks(coords);\n this.storedBoxes[i] = nextBoundingBox;\n const result = {\n landmarks: coords,\n confidence,\n box: { topLeft: nextBoundingBox.startPoint, bottomRight: nextBoundingBox.endPoint },\n };\n hands.push(result);\n } else {\n this.storedBoxes[i] = null;\n }\n keypoints.dispose();\n } else {\n // const enlarged = box.enlargeBox(box.squarifyBox(box.shiftBox(currentBox, HAND_BOX_SHIFT_VECTOR)), HAND_BOX_ENLARGE_FACTOR);\n const enlarged = box.enlargeBox(box.squarifyBox(currentBox), HAND_BOX_ENLARGE_FACTOR);\n const result = {\n confidence: currentBox.confidence,\n box: { topLeft: enlarged.startPoint, bottomRight: enlarged.endPoint },\n };\n hands.push(result);\n }\n }\n this.storedBoxes = this.storedBoxes.filter((a) => a !== null);\n this.detectedHands = hands.length;\n return hands;\n }\n\n // eslint-disable-next-line class-methods-use-this\n calculateLandmarksBoundingBox(landmarks) {\n const xs = landmarks.map((d) => d[0]);\n const ys = landmarks.map((d) => d[1]);\n const startPoint = [Math.min(...xs), Math.min(...ys)];\n const endPoint = [Math.max(...xs), Math.max(...ys)];\n return { startPoint, endPoint };\n }\n}\n", "export function normalizeRadians(angle) {\n return angle - 2 * Math.PI * Math.floor((angle + Math.PI) / (2 * Math.PI));\n}\n\nexport function computeRotation(point1, point2) {\n const radians = Math.PI / 2 - Math.atan2(-(point2[1] - point1[1]), point2[0] - point1[0]);\n return normalizeRadians(radians);\n}\n\nexport const buildTranslationMatrix = (x, y) => [[1, 0, x], [0, 1, y], [0, 0, 1]];\n\nexport function dot(v1, v2) {\n let product = 0;\n for (let i = 0; i < v1.length; i++) {\n product += v1[i] * v2[i];\n }\n return product;\n}\n\nexport function getColumnFrom2DArr(arr, columnIndex) {\n const column: Array = [];\n for (let i = 0; i < arr.length; i++) {\n column.push(arr[i][columnIndex]);\n }\n return column;\n}\n\nexport function multiplyTransformMatrices(mat1, mat2) {\n const product: Array = [];\n const size = mat1.length;\n for (let row = 0; row < size; row++) {\n product.push([]);\n for (let col = 0; col < size; col++) {\n product[row].push(dot(mat1[row], getColumnFrom2DArr(mat2, col)));\n }\n }\n return product;\n}\n\nexport function buildRotationMatrix(rotation, center) {\n const cosA = Math.cos(rotation);\n const sinA = Math.sin(rotation);\n const rotationMatrix = [[cosA, -sinA, 0], [sinA, cosA, 0], [0, 0, 1]];\n const translationMatrix = buildTranslationMatrix(center[0], center[1]);\n const translationTimesRotation = multiplyTransformMatrices(translationMatrix, rotationMatrix);\n const negativeTranslationMatrix = buildTranslationMatrix(-center[0], -center[1]);\n return multiplyTransformMatrices(translationTimesRotation, negativeTranslationMatrix);\n}\n\nexport function invertTransformMatrix(matrix) {\n const rotationComponent = [[matrix[0][0], matrix[1][0]], [matrix[0][1], matrix[1][1]]];\n const translationComponent = [matrix[0][2], matrix[1][2]];\n const invertedTranslation = [\n -dot(rotationComponent[0], translationComponent),\n -dot(rotationComponent[1], translationComponent),\n ];\n return [\n rotationComponent[0].concat(invertedTranslation[0]),\n rotationComponent[1].concat(invertedTranslation[1]),\n [0, 0, 1],\n ];\n}\n\nexport function rotatePoint(homogeneousCoordinate, rotationMatrix) {\n return [\n dot(homogeneousCoordinate, rotationMatrix[0]),\n dot(homogeneousCoordinate, rotationMatrix[1]),\n ];\n}\n", "export const anchors = [\n {\n w: 1,\n h: 1,\n x_center: 0.015625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.015625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.046875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.046875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.078125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.078125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.109375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.109375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.140625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.140625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.171875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.171875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.203125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.203125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.234375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.234375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.265625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.265625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.296875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.296875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.328125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.328125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.359375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.359375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.390625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.390625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.421875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.421875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.453125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.453125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.484375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.484375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.515625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.515625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.546875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.546875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.578125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.578125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.609375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.609375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.640625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.640625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.671875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.671875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.703125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.703125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.734375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.734375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.765625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.765625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.796875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.796875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.828125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.828125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.859375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.859375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.890625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.890625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.921875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.921875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.953125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.953125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.984375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.984375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.015625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.015625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.046875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.046875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.078125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.078125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.109375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.109375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.140625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.140625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.171875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.171875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.203125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.203125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.234375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.234375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.265625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.265625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.296875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.296875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.328125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.328125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.359375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.359375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.390625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.390625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.421875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.421875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.453125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.453125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.484375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.484375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.515625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.515625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.546875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.546875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.578125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.578125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.609375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.609375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.640625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.640625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.671875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.671875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.703125,\n y_center: 0.046875,\n },\n {\n w: 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{\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.4375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.4375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.4375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.4375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.4375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.4375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.4375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.4375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.4375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.4375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.9375,\n },\n];\n", "export const body = (res) => {\n if (!res) return [];\n const gestures: Array<{ body: number, gesture: string }> = [];\n for (let i = 0; i < res.length; i++) {\n // raising hands\n const leftWrist = res[i].keypoints.find((a) => (a.part === 'leftWrist'));\n const rightWrist = res[i].keypoints.find((a) => (a.part === 'rightWrist'));\n const nose = res[i].keypoints.find((a) => (a.part === 'nose'));\n if (nose && leftWrist && rightWrist && (leftWrist.position.y < nose.position.y) && (rightWrist.position.y < nose.position.y)) gestures.push({ body: i, gesture: 'i give up' });\n else if (nose && leftWrist && (leftWrist.position.y < nose.position.y)) gestures.push({ body: i, gesture: 'raise left hand' });\n else if (nose && rightWrist && (rightWrist.position.y < nose.position.y)) gestures.push({ body: i, gesture: 'raise right hand' });\n\n // leaning\n const leftShoulder = res[i].keypoints.find((a) => (a.part === 'leftShoulder'));\n const rightShoulder = res[i].keypoints.find((a) => (a.part === 'rightShoulder'));\n if (leftShoulder && rightShoulder) gestures.push({ body: i, gesture: `leaning ${(leftShoulder.position.y > rightShoulder.position.y) ? 'left' : 'right'}` });\n }\n return gestures;\n};\n\nexport const face = (res) => {\n if (!res) return [];\n const gestures: Array<{ face: number, gesture: string }> = [];\n for (let i = 0; i < res.length; i++) {\n if (res[i].mesh && res[i].mesh.length > 0) {\n const eyeFacing = res[i].mesh[35][2] - res[i].mesh[263][2];\n if (Math.abs(eyeFacing) < 10) gestures.push({ face: i, gesture: 'facing camera' });\n else gestures.push({ face: i, gesture: `facing ${eyeFacing < 0 ? 'right' : 'left'}` });\n const openLeft = Math.abs(res[i].mesh[374][1] - res[i].mesh[386][1]) / Math.abs(res[i].mesh[443][1] - res[i].mesh[450][1]); // center of eye inner lid y coord div center of wider eye border y coord\n if (openLeft < 0.2) gestures.push({ face: i, gesture: 'blink left eye' });\n const openRight = Math.abs(res[i].mesh[145][1] - res[i].mesh[159][1]) / Math.abs(res[i].mesh[223][1] - res[i].mesh[230][1]); // center of eye inner lid y coord div center of wider eye border y coord\n if (openRight < 0.2) gestures.push({ face: i, gesture: 'blink right eye' });\n const mouthOpen = Math.min(100, 500 * Math.abs(res[i].mesh[13][1] - res[i].mesh[14][1]) / Math.abs(res[i].mesh[10][1] - res[i].mesh[152][1]));\n if (mouthOpen > 10) gestures.push({ face: i, gesture: `mouth ${Math.trunc(mouthOpen)}% open` });\n const chinDepth = res[i].mesh[152][2];\n if (Math.abs(chinDepth) > 10) gestures.push({ face: i, gesture: `head ${chinDepth < 0 ? 'up' : 'down'}` });\n }\n }\n return gestures;\n};\n\nexport const iris = (res) => {\n if (!res) return [];\n const gestures: Array<{ iris: number, gesture: string }> = [];\n for (let i = 0; i < res.length; i++) {\n if (!res[i].annotations || !res[i].annotations.leftEyeIris || !res[i].annotations.rightEyeIris) continue;\n const sizeXLeft = res[i].annotations.leftEyeIris[3][0] - res[i].annotations.leftEyeIris[1][0];\n const sizeYLeft = res[i].annotations.leftEyeIris[4][1] - res[i].annotations.leftEyeIris[2][1];\n const areaLeft = Math.abs(sizeXLeft * sizeYLeft);\n\n const sizeXRight = res[i].annotations.rightEyeIris[3][0] - res[i].annotations.rightEyeIris[1][0];\n const sizeYRight = res[i].annotations.rightEyeIris[4][1] - res[i].annotations.rightEyeIris[2][1];\n const areaRight = Math.abs(sizeXRight * sizeYRight);\n\n const difference = Math.abs(areaLeft - areaRight) / Math.max(areaLeft, areaRight);\n if (difference < 0.25) gestures.push({ iris: i, gesture: 'looking at camera' });\n }\n return gestures;\n};\n\nexport const hand = (res) => {\n if (!res) return [];\n const gestures: Array<{ hand: number, gesture: string }> = [];\n for (let i = 0; i < res.length; i++) {\n const fingers: Array<{ name: string, position: number }> = [];\n for (const [finger, pos] of Object.entries(res[i]['annotations'])) {\n // @ts-ignore\n if (finger !== 'palmBase') fingers.push({ name: finger.toLowerCase(), position: pos[0] }); // get tip of each finger\n }\n if (fingers && fingers.length > 0) {\n const closest = fingers.reduce((best, a) => (best.position[2] < a.position[2] ? best : a));\n const highest = fingers.reduce((best, a) => (best.position[1] < a.position[1] ? best : a));\n gestures.push({ hand: i, gesture: `${closest.name} forward ${highest.name} up` });\n }\n }\n return gestures;\n};\n", "// @ts-nocheck\n\nimport { log } from './log';\nimport * as tf from '../dist/tfjs.esm.js';\nimport * as fxImage from './imagefx';\n\n// internal temp canvases\nlet inCanvas = null;\nlet outCanvas = null;\n// instance of fximage\nlet fx = null;\n\n// process input image and return tensor\n// input can be tensor, imagedata, htmlimageelement, htmlvideoelement\n// input is resized and run through imagefx filter\nexport function process(input, config) {\n let tensor;\n if (input instanceof tf.Tensor) {\n tensor = tf.clone(input);\n } else {\n const originalWidth = input.naturalWidth || input.videoWidth || input.width || (input.shape && (input.shape[1] > 0));\n const originalHeight = input.naturalHeight || input.videoHeight || input.height || (input.shape && (input.shape[2] > 0));\n let targetWidth = originalWidth;\n let targetHeight = originalHeight;\n if (config.filter.width > 0) targetWidth = config.filter.width;\n else if (config.filter.height > 0) targetWidth = originalWidth * (config.filter.height / originalHeight);\n if (config.filter.height > 0) targetHeight = config.filter.height;\n else if (config.filter.width > 0) targetHeight = originalHeight * (config.filter.width / originalWidth);\n if (!targetWidth || !targetHeight) {\n log('Human: invalid input', input);\n return null;\n }\n if (!inCanvas || (inCanvas.width !== targetWidth) || (inCanvas.height !== targetHeight)) {\n inCanvas = (typeof OffscreenCanvas !== 'undefined') ? new OffscreenCanvas(targetWidth, targetHeight) : document.createElement('canvas');\n if (inCanvas.width !== targetWidth) inCanvas.width = targetWidth;\n if (inCanvas.height !== targetHeight) inCanvas.height = targetHeight;\n }\n const ctx = inCanvas.getContext('2d');\n if (input instanceof ImageData) ctx.putImageData(input, 0, 0);\n else ctx.drawImage(input, 0, 0, originalWidth, originalHeight, 0, 0, inCanvas.width, inCanvas.height);\n if (config.filter.enabled) {\n if (!fx || !outCanvas || (inCanvas.width !== outCanvas.width) || (inCanvas.height !== outCanvas.height)) {\n outCanvas = (typeof OffscreenCanvas !== 'undefined') ? new OffscreenCanvas(inCanvas.width, inCanvas.height) : document.createElement('canvas');\n if (outCanvas.width !== inCanvas.width) outCanvas.width = inCanvas.width;\n if (outCanvas.height !== inCanvas.height) outCanvas.height = inCanvas.height;\n log('created FX filter');\n fx = tf.ENV.flags.IS_BROWSER ? new fxImage.GLImageFilter({ canvas: outCanvas }) : null; // && (typeof document !== 'undefined')\n }\n if (!fx) return inCanvas;\n fx.reset();\n fx.addFilter('brightness', config.filter.brightness); // must have at least one filter enabled\n if (config.filter.contrast !== 0) fx.addFilter('contrast', config.filter.contrast);\n if (config.filter.sharpness !== 0) fx.addFilter('sharpen', config.filter.sharpness);\n if (config.filter.blur !== 0) fx.addFilter('blur', config.filter.blur);\n if (config.filter.saturation !== 0) fx.addFilter('saturation', config.filter.saturation);\n if (config.filter.hue !== 0) fx.addFilter('hue', config.filter.hue);\n if (config.filter.negative) fx.addFilter('negative');\n if (config.filter.sepia) fx.addFilter('sepia');\n if (config.filter.vintage) fx.addFilter('brownie');\n if (config.filter.sepia) fx.addFilter('sepia');\n if (config.filter.kodachrome) fx.addFilter('kodachrome');\n if (config.filter.technicolor) fx.addFilter('technicolor');\n if (config.filter.polaroid) fx.addFilter('polaroid');\n if (config.filter.pixelate !== 0) fx.addFilter('pixelate', config.filter.pixelate);\n fx.apply(inCanvas);\n // read pixel data\n /*\n const gl = outCanvas.getContext('webgl');\n if (gl) {\n const glBuffer = new Uint8Array(outCanvas.width * outCanvas.height * 4);\n const pixBuffer = new Uint8Array(outCanvas.width * outCanvas.height * 3);\n gl.readPixels(0, 0, outCanvas.width, outCanvas.height, gl.RGBA, gl.UNSIGNED_BYTE, glBuffer);\n // gl returns rbga while we only need rgb, so discarding alpha channel\n // gl returns starting point as lower left, so need to invert vertical\n let i = 0;\n for (let y = outCanvas.height - 1; y >= 0; y--) {\n for (let x = 0; x < outCanvas.width; x++) {\n const index = (x + y * outCanvas.width) * 4;\n pixBuffer[i++] = glBuffer[index + 0];\n pixBuffer[i++] = glBuffer[index + 1];\n pixBuffer[i++] = glBuffer[index + 2];\n }\n }\n outCanvas.data = pixBuffer;\n }\n */\n } else {\n outCanvas = inCanvas;\n if (fx) fx = null;\n }\n let pixels;\n if (outCanvas.data) {\n const shape = [outCanvas.height, outCanvas.width, 3];\n pixels = tf.tensor3d(outCanvas.data, shape, 'int32');\n } else if ((config.backend === 'webgl') || (outCanvas instanceof ImageData)) {\n // tf kernel-optimized method to get imagedata, also if input is imagedata, just use it\n pixels = tf.browser.fromPixels(outCanvas);\n } else {\n // cpu and wasm kernel does not implement efficient fromPixels method nor we can use canvas as-is, so we do a silly one more canvas\n const tempCanvas = (typeof OffscreenCanvas !== 'undefined') ? new OffscreenCanvas(targetWidth, targetHeight) : document.createElement('canvas');\n tempCanvas.width = targetWidth;\n tempCanvas.height = targetHeight;\n const tempCtx = tempCanvas.getContext('2d');\n tempCtx?.drawImage(outCanvas, 0, 0);\n const data = tempCtx?.getImageData(0, 0, targetWidth, targetHeight);\n pixels = tf.browser.fromPixels(data);\n }\n const casted = pixels.toFloat();\n tensor = casted.expandDims(0);\n pixels.dispose();\n casted.dispose();\n }\n return { tensor, canvas: config.filter.return ? outCanvas : null };\n}\n", "/*\nWebGLImageFilter - MIT Licensed\n2013, Dominic Szablewski - phoboslab.org\n\n*/\n\nfunction GLProgram(gl, vertexSource, fragmentSource) {\n const _collect = function (source, prefix, collection) {\n const r = new RegExp('\\\\b' + prefix + ' \\\\w+ (\\\\w+)', 'ig');\n source.replace(r, (match, name) => {\n collection[name] = 0;\n return match;\n });\n };\n\n const _compile = function (source, type) {\n const shader = gl.createShader(type);\n gl.shaderSource(shader, source);\n gl.compileShader(shader);\n if (!gl.getShaderParameter(shader, gl.COMPILE_STATUS)) {\n // @ts-ignore\n throw new Error('Filter: GL compile failed', gl.getShaderInfoLog(shader));\n }\n return shader;\n };\n\n this.uniform = {};\n this.attribute = {};\n const _vsh = _compile(vertexSource, gl.VERTEX_SHADER);\n const _fsh = _compile(fragmentSource, gl.FRAGMENT_SHADER);\n this.id = gl.createProgram();\n gl.attachShader(this.id, _vsh);\n gl.attachShader(this.id, _fsh);\n gl.linkProgram(this.id);\n\n if (!gl.getProgramParameter(this.id, gl.LINK_STATUS)) {\n // @ts-ignore\n throw new Error('Filter: GL link failed', gl.getProgramInfoLog(this.id));\n }\n\n gl.useProgram(this.id);\n // Collect attributes\n _collect(vertexSource, 'attribute', this.attribute);\n for (const a in this.attribute) this.attribute[a] = gl.getAttribLocation(this.id, a);\n // Collect uniforms\n _collect(vertexSource, 'uniform', this.uniform);\n _collect(fragmentSource, 'uniform', this.uniform);\n for (const u in this.uniform) this.uniform[u] = gl.getUniformLocation(this.id, u);\n}\n\n// export const GLImageFilter = function (params) {\nexport function GLImageFilter(params) {\n if (!params) params = { };\n let _drawCount = 0;\n let _sourceTexture = null;\n let _lastInChain = false;\n let _currentFramebufferIndex = -1;\n let _tempFramebuffers = [null, null];\n let _filterChain = [];\n let _width = -1;\n let _height = -1;\n let _vertexBuffer = null;\n let _currentProgram = null;\n const _filter = {};\n const _canvas = params.canvas || document.createElement('canvas');\n // key is the shader program source, value is the compiled program\n const _shaderProgramCache = { };\n const DRAW = { INTERMEDIATE: 1 };\n const gl = _canvas.getContext('webgl');\n if (!gl) throw new Error('Filter: getContext() failed');\n\n this.addFilter = function (name) {\n // eslint-disable-next-line prefer-rest-params\n const args = Array.prototype.slice.call(arguments, 1);\n const filter = _filter[name];\n _filterChain.push({ func: filter, args });\n };\n\n this.reset = function () {\n _filterChain = [];\n };\n\n const _resize = function (width, height) {\n // Same width/height? Nothing to do here\n if (width === _width && height === _height) { return; }\n _canvas.width = width;\n _width = width;\n _canvas.height = height;\n _height = height;\n // Create the context if we don't have it yet\n if (!_vertexBuffer) {\n // Create the vertex buffer for the two triangles [x, y, u, v] * 6\n const vertices = new Float32Array([\n -1, -1, 0, 1, 1, -1, 1, 1, -1, 1, 0, 0,\n -1, 1, 0, 0, 1, -1, 1, 1, 1, 1, 1, 0,\n ]);\n // eslint-disable-next-line no-unused-expressions\n (_vertexBuffer = gl.createBuffer(), gl.bindBuffer(gl.ARRAY_BUFFER, _vertexBuffer));\n gl.bufferData(gl.ARRAY_BUFFER, vertices, gl.STATIC_DRAW);\n gl.pixelStorei(gl.UNPACK_PREMULTIPLY_ALPHA_WEBGL, true);\n }\n gl.viewport(0, 0, _width, _height);\n // Delete old temp framebuffers\n _tempFramebuffers = [null, null];\n };\n\n const _createFramebufferTexture = function (width, height) {\n const fbo = gl.createFramebuffer();\n gl.bindFramebuffer(gl.FRAMEBUFFER, fbo);\n const renderbuffer = gl.createRenderbuffer();\n gl.bindRenderbuffer(gl.RENDERBUFFER, renderbuffer);\n const texture = gl.createTexture();\n gl.bindTexture(gl.TEXTURE_2D, texture);\n gl.texImage2D(gl.TEXTURE_2D, 0, gl.RGBA, width, height, 0, gl.RGBA, gl.UNSIGNED_BYTE, null);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MAG_FILTER, gl.LINEAR);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MIN_FILTER, gl.LINEAR);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_S, gl.CLAMP_TO_EDGE);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_T, gl.CLAMP_TO_EDGE);\n gl.framebufferTexture2D(gl.FRAMEBUFFER, gl.COLOR_ATTACHMENT0, gl.TEXTURE_2D, texture, 0);\n gl.bindTexture(gl.TEXTURE_2D, null);\n gl.bindFramebuffer(gl.FRAMEBUFFER, null);\n return { fbo, texture };\n };\n\n const _getTempFramebuffer = function (index) {\n // @ts-ignore\n _tempFramebuffers[index] = _tempFramebuffers[index] || _createFramebufferTexture(_width, _height);\n return _tempFramebuffers[index];\n };\n\n const _draw = function (flags = null) {\n let source = null;\n let target = null;\n let flipY = false;\n // Set up the source\n if (_drawCount === 0) {\n // First draw call - use the source texture\n source = _sourceTexture;\n } else {\n // All following draw calls use the temp buffer last drawn to\n // @ts-ignore\n source = _getTempFramebuffer(_currentFramebufferIndex)?.texture;\n }\n _drawCount++;\n // Set up the target\n if (_lastInChain && !(flags & DRAW.INTERMEDIATE)) {\n // Last filter in our chain - draw directly to the WebGL Canvas. We may\n // also have to flip the image vertically now\n target = null;\n flipY = _drawCount % 2 === 0;\n } else {\n // Intermediate draw call - get a temp buffer to draw to\n _currentFramebufferIndex = (_currentFramebufferIndex + 1) % 2;\n // @ts-ignore\n target = _getTempFramebuffer(_currentFramebufferIndex)?.fbo;\n }\n // Bind the source and target and draw the two triangles\n gl.bindTexture(gl.TEXTURE_2D, source);\n gl.bindFramebuffer(gl.FRAMEBUFFER, target);\n gl.uniform1f(_currentProgram.uniform.flipY, (flipY ? -1 : 1));\n gl.drawArrays(gl.TRIANGLES, 0, 6);\n };\n\n this.apply = function (image) {\n _resize(image.width, image.height);\n _drawCount = 0;\n // Create the texture for the input image if we haven't yet\n if (!_sourceTexture) _sourceTexture = gl.createTexture();\n gl.bindTexture(gl.TEXTURE_2D, _sourceTexture);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_S, gl.CLAMP_TO_EDGE);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_T, gl.CLAMP_TO_EDGE);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MIN_FILTER, gl.NEAREST);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MAG_FILTER, gl.NEAREST);\n gl.texImage2D(gl.TEXTURE_2D, 0, gl.RGBA, gl.RGBA, gl.UNSIGNED_BYTE, image);\n // No filters? Just draw\n if (_filterChain.length === 0) {\n // const program = _compileShader(SHADER.FRAGMENT_IDENTITY);\n _draw();\n return _canvas;\n }\n for (let i = 0; i < _filterChain.length; i++) {\n _lastInChain = (i === _filterChain.length - 1);\n const f = _filterChain[i];\n f.func.apply(this, f.args || []);\n }\n return _canvas;\n };\n\n const _compileShader = function (fragmentSource) {\n if (_shaderProgramCache[fragmentSource]) {\n _currentProgram = _shaderProgramCache[fragmentSource];\n gl.useProgram(_currentProgram.id);\n return _currentProgram;\n }\n // Compile shaders\n const SHADER = {};\n SHADER.VERTEX_IDENTITY = [\n 'precision highp float;',\n 'attribute vec2 pos;',\n 'attribute vec2 uv;',\n 'varying vec2 vUv;',\n 'uniform float flipY;',\n 'void main(void) {',\n 'vUv = uv;',\n 'gl_Position = vec4(pos.x, pos.y*flipY, 0.0, 1.);',\n '}',\n ].join('\\n');\n SHADER.FRAGMENT_IDENTITY = [\n 'precision highp float;',\n 'varying vec2 vUv;',\n 'uniform sampler2D texture;',\n 'void main(void) {',\n 'gl_FragColor = texture2D(texture, vUv);',\n '}',\n ].join('\\n');\n _currentProgram = new GLProgram(gl, SHADER.VERTEX_IDENTITY, fragmentSource);\n const floatSize = Float32Array.BYTES_PER_ELEMENT;\n const vertSize = 4 * floatSize;\n gl.enableVertexAttribArray(_currentProgram.attribute.pos);\n gl.vertexAttribPointer(_currentProgram.attribute.pos, 2, gl.FLOAT, false, vertSize, 0 * floatSize);\n gl.enableVertexAttribArray(_currentProgram.attribute.uv);\n gl.vertexAttribPointer(_currentProgram.attribute.uv, 2, gl.FLOAT, false, vertSize, 2 * floatSize);\n _shaderProgramCache[fragmentSource] = _currentProgram;\n return _currentProgram;\n };\n\n // -------------------------------------------------------------------------\n // Color Matrix Filter\n _filter.colorMatrix = function (matrix) {\n // Create a Float32 Array and normalize the offset component to 0-1\n const m = new Float32Array(matrix);\n m[4] /= 255;\n m[9] /= 255;\n m[14] /= 255;\n m[19] /= 255;\n // Can we ignore the alpha value? Makes things a bit faster.\n const shader = (m[18] === 1 && m[3] === 0 && m[8] === 0 && m[13] === 0 && m[15] === 0 && m[16] === 0 && m[17] === 0 && m[19] === 0)\n ? _filter.colorMatrix.SHADER.WITHOUT_ALPHA\n : _filter.colorMatrix.SHADER.WITH_ALPHA;\n const program = _compileShader(shader);\n gl.uniform1fv(program.uniform.m, m);\n _draw();\n };\n _filter.colorMatrix.SHADER = {};\n _filter.colorMatrix.SHADER.WITH_ALPHA = [\n 'precision highp float;',\n 'varying vec2 vUv;',\n 'uniform sampler2D texture;',\n 'uniform float m[20];',\n 'void main(void) {',\n 'vec4 c = texture2D(texture, vUv);',\n 'gl_FragColor.r = m[0] * c.r + m[1] * c.g + m[2] * c.b + m[3] * c.a + m[4];',\n 'gl_FragColor.g = m[5] * c.r + m[6] * c.g + m[7] * c.b + m[8] * c.a + m[9];',\n 'gl_FragColor.b = m[10] * c.r + m[11] * c.g + m[12] * c.b + m[13] * c.a + m[14];',\n 'gl_FragColor.a = m[15] * c.r + m[16] * c.g + m[17] * c.b + m[18] * c.a + m[19];',\n '}',\n ].join('\\n');\n _filter.colorMatrix.SHADER.WITHOUT_ALPHA = [\n 'precision highp float;',\n 'varying vec2 vUv;',\n 'uniform sampler2D texture;',\n 'uniform float m[20];',\n 'void main(void) {',\n 'vec4 c = texture2D(texture, vUv);',\n 'gl_FragColor.r = m[0] * c.r + m[1] * c.g + m[2] * c.b + m[4];',\n 'gl_FragColor.g = m[5] * c.r + m[6] * c.g + m[7] * c.b + m[9];',\n 'gl_FragColor.b = m[10] * c.r + m[11] * c.g + m[12] * c.b + m[14];',\n 'gl_FragColor.a = c.a;',\n '}',\n ].join('\\n');\n\n _filter.brightness = function (brightness) {\n const b = (brightness || 0) + 1;\n _filter.colorMatrix([\n b, 0, 0, 0, 0,\n 0, b, 0, 0, 0,\n 0, 0, b, 0, 0,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.saturation = function (amount) {\n const x = (amount || 0) * 2 / 3 + 1;\n const y = ((x - 1) * -0.5);\n _filter.colorMatrix([\n x, y, y, 0, 0,\n y, x, y, 0, 0,\n y, y, x, 0, 0,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.desaturate = function () {\n _filter.saturation(-1);\n };\n\n _filter.contrast = function (amount) {\n const v = (amount || 0) + 1;\n const o = -128 * (v - 1);\n\n _filter.colorMatrix([\n v, 0, 0, 0, o,\n 0, v, 0, 0, o,\n 0, 0, v, 0, o,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.negative = function () {\n _filter.contrast(-2);\n };\n\n _filter.hue = function (rotation) {\n rotation = (rotation || 0) / 180 * Math.PI;\n const cos = Math.cos(rotation);\n const sin = Math.sin(rotation);\n const lumR = 0.213;\n const lumG = 0.715;\n const lumB = 0.072;\n\n _filter.colorMatrix([\n lumR + cos * (1 - lumR) + sin * (-lumR), lumG + cos * (-lumG) + sin * (-lumG), lumB + cos * (-lumB) + sin * (1 - lumB), 0, 0,\n lumR + cos * (-lumR) + sin * (0.143), lumG + cos * (1 - lumG) + sin * (0.140), lumB + cos * (-lumB) + sin * (-0.283), 0, 0,\n lumR + cos * (-lumR) + sin * (-(1 - lumR)), lumG + cos * (-lumG) + sin * (lumG), lumB + cos * (1 - lumB) + sin * (lumB), 0, 0,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.desaturateLuminance = function () {\n _filter.colorMatrix([\n 0.2764723, 0.9297080, 0.0938197, 0, -37.1,\n 0.2764723, 0.9297080, 0.0938197, 0, -37.1,\n 0.2764723, 0.9297080, 0.0938197, 0, -37.1,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.sepia = function () {\n _filter.colorMatrix([\n 0.393, 0.7689999, 0.18899999, 0, 0,\n 0.349, 0.6859999, 0.16799999, 0, 0,\n 0.272, 0.5339999, 0.13099999, 0, 0,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.brownie = function () {\n _filter.colorMatrix([\n 0.5997023498159715, 0.34553243048391263, -0.2708298674538042, 0, 47.43192855600873,\n -0.037703249837783157, 0.8609577587992641, 0.15059552388459913, 0, -36.96841498319127,\n 0.24113635128153335, -0.07441037908422492, 0.44972182064877153, 0, -7.562075277591283,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.vintagePinhole = function () {\n _filter.colorMatrix([\n 0.6279345635605994, 0.3202183420819367, -0.03965408211312453, 0, 9.651285835294123,\n 0.02578397704808868, 0.6441188644374771, 0.03259127616149294, 0, 7.462829176470591,\n 0.0466055556782719, -0.0851232987247891, 0.5241648018700465, 0, 5.159190588235296,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.kodachrome = function () {\n _filter.colorMatrix([\n 1.1285582396593525, -0.3967382283601348, -0.03992559172921793, 0, 63.72958762196502,\n -0.16404339962244616, 1.0835251566291304, -0.05498805115633132, 0, 24.732407896706203,\n -0.16786010706155763, -0.5603416277695248, 1.6014850761964943, 0, 35.62982807460946,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.technicolor = function () {\n _filter.colorMatrix([\n 1.9125277891456083, -0.8545344976951645, -0.09155508482755585, 0, 11.793603434377337,\n -0.3087833385928097, 1.7658908555458428, -0.10601743074722245, 0, -70.35205161461398,\n -0.231103377548616, -0.7501899197440212, 1.847597816108189, 0, 30.950940869491138,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.polaroid = function () {\n _filter.colorMatrix([\n 1.438, -0.062, -0.062, 0, 0,\n -0.122, 1.378, -0.122, 0, 0,\n -0.016, -0.016, 1.483, 0, 0,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.shiftToBGR = function () {\n _filter.colorMatrix([\n 0, 0, 1, 0, 0,\n 0, 1, 0, 0, 0,\n 1, 0, 0, 0, 0,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n // -------------------------------------------------------------------------\n // Convolution Filter\n _filter.convolution = function (matrix) {\n const m = new Float32Array(matrix);\n const pixelSizeX = 1 / _width;\n const pixelSizeY = 1 / _height;\n const program = _compileShader(_filter.convolution.SHADER);\n gl.uniform1fv(program.uniform.m, m);\n gl.uniform2f(program.uniform.px, pixelSizeX, pixelSizeY);\n _draw();\n };\n\n _filter.convolution.SHADER = [\n 'precision highp float;',\n 'varying vec2 vUv;',\n 'uniform sampler2D texture;',\n 'uniform vec2 px;',\n 'uniform float m[9];',\n 'void main(void) {',\n 'vec4 c11 = texture2D(texture, vUv - px);', // top left\n 'vec4 c12 = texture2D(texture, vec2(vUv.x, vUv.y - px.y));', // top center\n 'vec4 c13 = texture2D(texture, vec2(vUv.x + px.x, vUv.y - px.y));', // top right\n 'vec4 c21 = texture2D(texture, vec2(vUv.x - px.x, vUv.y) );', // mid left\n 'vec4 c22 = texture2D(texture, vUv);', // mid center\n 'vec4 c23 = texture2D(texture, vec2(vUv.x + px.x, vUv.y) );', // mid right\n 'vec4 c31 = texture2D(texture, vec2(vUv.x - px.x, vUv.y + px.y) );', // bottom left\n 'vec4 c32 = texture2D(texture, vec2(vUv.x, vUv.y + px.y) );', // bottom center\n 'vec4 c33 = texture2D(texture, vUv + px );', // bottom right\n 'gl_FragColor = ',\n 'c11 * m[0] + c12 * m[1] + c22 * m[2] +',\n 'c21 * m[3] + c22 * m[4] + c23 * m[5] +',\n 'c31 * m[6] + c32 * m[7] + c33 * m[8];',\n 'gl_FragColor.a = c22.a;',\n '}',\n ].join('\\n');\n\n _filter.detectEdges = function () {\n _filter.convolution.call(this, [\n 0, 1, 0,\n 1, -4, 1,\n 0, 1, 0,\n ]);\n };\n\n _filter.sobelX = function () {\n _filter.convolution.call(this, [\n -1, 0, 1,\n -2, 0, 2,\n -1, 0, 1,\n ]);\n };\n\n _filter.sobelY = function () {\n _filter.convolution.call(this, [\n -1, -2, -1,\n 0, 0, 0,\n 1, 2, 1,\n ]);\n };\n\n _filter.sharpen = function (amount) {\n const a = amount || 1;\n _filter.convolution.call(this, [\n 0, -1 * a, 0,\n -1 * a, 1 + 4 * a, -1 * a,\n 0, -1 * a, 0,\n ]);\n };\n\n _filter.emboss = function (size) {\n const s = size || 1;\n _filter.convolution.call(this, [\n -2 * s, -1 * s, 0,\n -1 * s, 1, 1 * s,\n 0, 1 * s, 2 * s,\n ]);\n };\n\n // -------------------------------------------------------------------------\n // Blur Filter\n _filter.blur = function (size) {\n const blurSizeX = (size / 7) / _width;\n const blurSizeY = (size / 7) / _height;\n const program = _compileShader(_filter.blur.SHADER);\n // Vertical\n gl.uniform2f(program.uniform.px, 0, blurSizeY);\n _draw(DRAW.INTERMEDIATE);\n // Horizontal\n gl.uniform2f(program.uniform.px, blurSizeX, 0);\n _draw();\n };\n\n _filter.blur.SHADER = [\n 'precision highp float;',\n 'varying vec2 vUv;',\n 'uniform sampler2D texture;',\n 'uniform vec2 px;',\n 'void main(void) {',\n 'gl_FragColor = vec4(0.0);',\n 'gl_FragColor += texture2D(texture, vUv + vec2(-7.0*px.x, -7.0*px.y))*0.0044299121055113265;',\n 'gl_FragColor += texture2D(texture, vUv + vec2(-6.0*px.x, -6.0*px.y))*0.00895781211794;',\n 'gl_FragColor += texture2D(texture, vUv + vec2(-5.0*px.x, -5.0*px.y))*0.0215963866053;',\n 'gl_FragColor += texture2D(texture, vUv + vec2(-4.0*px.x, -4.0*px.y))*0.0443683338718;',\n 'gl_FragColor += texture2D(texture, vUv + vec2(-3.0*px.x, -3.0*px.y))*0.0776744219933;',\n 'gl_FragColor += texture2D(texture, vUv + vec2(-2.0*px.x, -2.0*px.y))*0.115876621105;',\n 'gl_FragColor += texture2D(texture, vUv + vec2(-1.0*px.x, -1.0*px.y))*0.147308056121;',\n 'gl_FragColor += texture2D(texture, vUv )*0.159576912161;',\n 'gl_FragColor += texture2D(texture, vUv + vec2( 1.0*px.x, 1.0*px.y))*0.147308056121;',\n 'gl_FragColor += texture2D(texture, vUv + vec2( 2.0*px.x, 2.0*px.y))*0.115876621105;',\n 'gl_FragColor += texture2D(texture, vUv + vec2( 3.0*px.x, 3.0*px.y))*0.0776744219933;',\n 'gl_FragColor += texture2D(texture, vUv + vec2( 4.0*px.x, 4.0*px.y))*0.0443683338718;',\n 'gl_FragColor += texture2D(texture, vUv + vec2( 5.0*px.x, 5.0*px.y))*0.0215963866053;',\n 'gl_FragColor += texture2D(texture, vUv + vec2( 6.0*px.x, 6.0*px.y))*0.00895781211794;',\n 'gl_FragColor += texture2D(texture, vUv + vec2( 7.0*px.x, 7.0*px.y))*0.0044299121055113265;',\n '}',\n ].join('\\n');\n\n // -------------------------------------------------------------------------\n // Pixelate Filter\n _filter.pixelate = function (size) {\n const blurSizeX = (size) / _width;\n const blurSizeY = (size) / _height;\n const program = _compileShader(_filter.pixelate.SHADER);\n // Horizontal\n gl.uniform2f(program.uniform.size, blurSizeX, blurSizeY);\n _draw();\n };\n\n _filter.pixelate.SHADER = [\n 'precision highp float;',\n 'varying vec2 vUv;',\n 'uniform vec2 size;',\n 'uniform sampler2D texture;',\n 'vec2 pixelate(vec2 coord, vec2 size) {',\n 'return floor( coord / size ) * size;',\n '}',\n 'void main(void) {',\n 'gl_FragColor = vec4(0.0);',\n 'vec2 coord = pixelate(vUv, size);',\n 'gl_FragColor += texture2D(texture, coord);',\n '}',\n ].join('\\n');\n}\n", "/* eslint-disable indent */\n/* eslint-disable no-multi-spaces */\n\nexport default {\n backend: 'webgl', // select tfjs backend to use\n wasmPath: '../assets/', // path for wasm binaries\n // only used for backend: wasm\n async: true, // execute enabled models in parallel\n // this disables per-model performance data but\n // slightly increases performance\n // cannot be used if profiling is enabled\n profile: false, // enable tfjs profiling\n // this has significant performance impact\n // only enable for debugging purposes\n // currently only implemented for age,gender,emotion models\n deallocate: false, // aggresively deallocate gpu memory after each usage\n // only valid for webgl backend and only during first call\n // cannot be changed unless library is reloaded\n // this has significant performance impact\n // only enable on low-memory devices\n scoped: false, // enable scoped runs\n // some models *may* have memory leaks,\n // this wrapps everything in a local scope at a cost of performance\n // typically not needed\n videoOptimized: true, // perform additional optimizations when input is video,\n // must be disabled for images\n // basically this skips object box boundary detection for every n frames\n // while maintaining in-box detection since objects cannot move that fast\n warmup: 'face', // what to use for human.warmup(), can be 'none', 'face', 'full'\n // warmup pre-initializes all models for faster inference but can take\n // significant time on startup\n filter: {\n enabled: true, // enable image pre-processing filters\n width: 0, // resize input width\n height: 0, // resize input height\n // if both width and height are set to 0, there is no resizing\n // if just one is set, second one is scaled automatically\n // if both are set, values are used as-is\n return: true, // return processed canvas imagedata in result\n brightness: 0, // range: -1 (darken) to 1 (lighten)\n contrast: 0, // range: -1 (reduce contrast) to 1 (increase contrast)\n sharpness: 0, // range: 0 (no sharpening) to 1 (maximum sharpening)\n blur: 0, // range: 0 (no blur) to N (blur radius in pixels)\n saturation: 0, // range: -1 (reduce saturation) to 1 (increase saturation)\n hue: 0, // range: 0 (no change) to 360 (hue rotation in degrees)\n negative: false, // image negative\n sepia: false, // image sepia colors\n vintage: false, // image vintage colors\n kodachrome: false, // image kodachrome colors\n technicolor: false, // image technicolor colors\n polaroid: false, // image polaroid camera effect\n pixelate: 0, // range: 0 (no pixelate) to N (number of pixels to pixelate)\n },\n\n gesture: {\n enabled: true, // enable simple gesture recognition\n },\n\n face: {\n enabled: true, // controls if specified modul is enabled\n // face.enabled is required for all face models:\n // detector, mesh, iris, age, gender, emotion\n // (note: module is not loaded until it is required)\n detector: {\n modelPath: '../models/blazeface-back.json', // can be 'blazeface-front', 'blazeface-front' or 'faceboxes'\n // 'blazeface-front' is blazeface model optimized for large faces such as front-facing camera\n // 'blazeface-back' is blazeface model optimized for smaller and/or distanct faces\n // 'faceboxes' is alternative model to 'blazeface\n inputSize: 256, // fixed value: 128 for front and 256 for 'back'\n rotation: false, // use best-guess rotated face image or just box with rotation as-is\n // false means higher performance, but incorrect mesh mapping if face angle is above 20 degrees\n maxFaces: 10, // maximum number of faces detected in the input\n // should be set to the minimum number for performance\n skipFrames: 11, // how many frames to go without re-running the face bounding box detector\n // only used for video inputs\n // e.g., if model is running st 25 FPS, we can re-use existing bounding\n // box for updated face analysis as the head probably hasn't moved much\n // in short time (10 * 1/25 = 0.25 sec)\n minConfidence: 0.5, // threshold for discarding a prediction\n iouThreshold: 0.2, // threshold for deciding whether boxes overlap too much in\n // non-maximum suppression (0.1 means drop if overlap 10%)\n scoreThreshold: 0.5, // threshold for deciding when to remove boxes based on score\n // in non-maximum suppression,\n // this is applied on detection objects only and before minConfidence\n },\n\n mesh: {\n enabled: true,\n modelPath: '../models/facemesh.json',\n inputSize: 192, // fixed value\n returnRawData: false, // in addition to standard mesh and box values, return raw normalized values as well\n },\n\n iris: {\n enabled: true,\n modelPath: '../models/iris.json',\n inputSize: 64, // fixed value\n },\n\n age: {\n enabled: true,\n modelPath: '../models/age-ssrnet-imdb.json', // can be 'age-ssrnet-imdb' or 'age-ssrnet-wiki'\n // which determines training set for model\n inputSize: 64, // fixed value\n skipFrames: 31, // how many frames to go without re-running the detector\n // only used for video inputs\n },\n\n gender: {\n enabled: true,\n minConfidence: 0.1, // threshold for discarding a prediction\n modelPath: '../models/gender-ssrnet-imdb.json', // can be 'gender', 'gender-ssrnet-imdb' or 'gender-ssrnet-wiki'\n inputSize: 64, // fixed value\n skipFrames: 41, // how many frames to go without re-running the detector\n // only used for video inputs\n },\n\n emotion: {\n enabled: true,\n inputSize: 64, // fixed value\n minConfidence: 0.2, // threshold for discarding a prediction\n skipFrames: 21, // how many frames to go without re-running the detector\n modelPath: '../models/emotion-large.json', // can be 'mini', 'large'\n },\n\n embedding: {\n enabled: false,\n inputSize: 112, // fixed value\n modelPath: '../models/mobilefacenet.json',\n },\n },\n\n body: {\n enabled: true,\n modelPath: '../models/posenet.json',\n inputSize: 257, // fixed value\n maxDetections: 10, // maximum number of people detected in the input\n // should be set to the minimum number for performance\n scoreThreshold: 0.5, // threshold for deciding when to remove boxes based on score\n // in non-maximum suppression\n nmsRadius: 20, // radius for deciding points are too close in non-maximum suppression\n outputStride: 16, // size of block in which to run point detectopn, smaller value means higher resolution\n // defined by model itself, can be 8, 16, or 32\n modelType: 'MobileNet', // Human includes MobileNet version, but you can switch to ResNet\n },\n\n hand: {\n enabled: true,\n rotation: false, // use best-guess rotated hand image or just box with rotation as-is\n // false means higher performance, but incorrect finger mapping if hand is inverted\n inputSize: 256, // fixed value\n skipFrames: 12, // how many frames to go without re-running the hand bounding box detector\n // only used for video inputs\n // e.g., if model is running st 25 FPS, we can re-use existing bounding\n // box for updated hand skeleton analysis as the hand probably\n // hasn't moved much in short time (10 * 1/25 = 0.25 sec)\n minConfidence: 0.1, // threshold for discarding a prediction\n iouThreshold: 0.1, // threshold for deciding whether boxes overlap too much\n // in non-maximum suppression\n scoreThreshold: 0.5, // threshold for deciding when to remove boxes based on\n // score in non-maximum suppression\n maxHands: 1, // maximum number of hands detected in the input\n // should be set to the minimum number for performance\n landmarks: true, // detect hand landmarks or just hand boundary box\n detector: {\n modelPath: '../models/handdetect.json',\n },\n skeleton: {\n modelPath: '../models/handskeleton.json',\n },\n },\n};\n", "// data:image/jpeg;base64,\nexport const face = 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r=I("outputShape",e,t,n),a=I("strides",e,t,n),s=Zp(e,t,n);return[od(I("x",e,t,n),I("filter",e,t,n),r,[a[1],a[2]],s)]}case"DepthwiseConv2dNative":case"DepthwiseConv2d":{let r=I("strides",e,t,n),a=Zp(e,t,n),s=I("dilations",e,t,n),i=I("dataFormat",e,t,n).toUpperCase();return[Qo(I("input",e,t,n),I("filter",e,t,n),[r[1],r[2]],a,i,[s[1],s[2]])]}case"Conv3D":{let r=I("strides",e,t,n),a=I("pad",e,t,n),s=I("dataFormat",e,t,n).toUpperCase(),i=I("dilations",e,t,n);return[vf(I("x",e,t,n),I("filter",e,t,n),[r[1],r[2],r[3]],a,s,[i[1],i[2],i[3]])]}case"AvgPool":{let r=I("strides",e,t,n),a=I("pad",e,t,n),s=I("kernelSize",e,t,n);return[Ou(I("x",e,t,n),[s[1],s[2]],[r[1],r[2]],a)]}case"MaxPool":{let r=I("strides",e,t,n),a=I("pad",e,t,n),s=I("kernelSize",e,t,n);return[Vu(I("x",e,t,n),[s[1],s[2]],[r[1],r[2]],a)]}case"MaxPoolWithArgmax":{let 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r=I("boxes",e,t,n),a=I("scores",e,t,n),s=I("maxOutputSize",e,t,n),i=I("iouThreshold",e,t,n),o=I("scoreThreshold",e,t,n),l=I("softNmsSigma",e,t,n);return{boxes:r,scores:a,maxOutputSize:s,iouThreshold:i,scoreThreshold:o,softNmsSigma:l}}var Dne=async(e,t,n)=>{switch(e.op){case"NonMaxSuppressionV5":{let{boxes:r,scores:a,maxOutputSize:s,iouThreshold:i,scoreThreshold:o,softNmsSigma:l}=Py(e,t,n),c=await Je.nonMaxSuppressionWithScoreAsync(r,a,s,i,o,l);return[c.selectedIndices,c.selectedScores]}case"NonMaxSuppressionV4":{let{boxes:r,scores:a,maxOutputSize:s,iouThreshold:i,scoreThreshold:o}=Py(e,t,n),l=I("padToMaxOutputSize",e,t,n),c=await Je.nonMaxSuppressionPaddedAsync(r,a,s,i,o,l);return[c.selectedIndices,c.validOutputs]}case"NonMaxSuppressionV3":case"NonMaxSuppressionV2":{let{boxes:r,scores:a,maxOutputSize:s,iouThreshold:i,scoreThreshold:o}=Py(e,t,n);return[await Je.nonMaxSuppressionAsync(r,a,s,i,o)]}case"Where":{let r=me(I("condition",e,t,n),"bool"),a=[await Xf(r)];return 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Array(e),n=this.length();for(let r=0;rt===!0)}rowMajorBatch(e,t=!0){return new Ere(this,e,t)}columnMajorBatch(e,t=!0,n=mv){return this.rowMajorBatch(e,t).map(r=>Are(r,n))}concatenate(e,t){return new xv(gv([this,e]),t)}take(e){return e<0||e==null?this:new Tre(this,e)}skip(e){return e<0||e==null?this:new Sre(this,e)}prefetch(e){return new _v(this,e)}shuffle(e,t){return new $re(this,e,t)}serial(){return new Nre(this)}},_re=class extends Gt{constructor(e){super();this.items=e,this.trav=0}summary(){return`Array of ${this.items.length} items`}async next(){if(this.trav>=this.items.length)return{value:null,done:!0};let e=this.items[this.trav];return this.trav++,{value:wre(e),done:!1}}},bre=class extends Gt{constructor(e){super();this.nextFn=e}summary(){return"Function call"}async next(){try{return this.nextFn()}catch(e){throw e.message=`Error thrown while iterating through a dataset: ${e.message}`,e}}},Nre=class extends Gt{constructor(e){super();this.upstream=e,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> Serial`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){return this.upstream.next()}},Sre=class extends Gt{constructor(e,t){super();this.upstream=e,this.maxCount=t,this.count=0,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> Skip`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){for(;this.count++ Take`}async next(){return this.count++>=this.maxCount?{value:null,done:!0}:this.upstream.next()}},Ere=class extends Gt{constructor(e,t,n=!0){super();this.upstream=e,this.batchSize=t,this.enableSmallLastBatch=n,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> RowMajorBatch`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){let e=[];for(;e.length0?{value:e,done:!1}:{value:null,done:!0};e.push(t.value)}return{value:e,done:!1}}},Cre=class extends Gt{constructor(e,t){super();this.upstream=e,this.predicate=t,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> Filter`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){for(;;){let e=await this.upstream.next();if(e.done||this.predicate(e.value))return e;Se(e.value)}}},Rre=class extends Gt{constructor(e,t){super();this.upstream=e,this.transform=t}summary(){return`${this.upstream.summary()} -> Map`}async next(){let e=await this.upstream.next();if(e.done)return{value:null,done:!0};let t=ur.getTensorsInContainer(e.value),n=this.transform(e.value),r=ur.getTensorsInContainer(n);for(let a of t)ur.isTensorInList(a,r)||a.dispose();return{value:n,done:!1}}},Fre=class extends Gt{constructor(e,t){super();this.upstream=e,this.handler=t,this.count=0,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> handleErrors`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){for(;;)try{return await this.upstream.next()}catch(e){if(!this.handler(e))return{value:null,done:!0}}}},wv=class extends Gt{constructor(e,t){super();this.upstream=e,this.transform=t}summary(){return`${this.upstream.summary()} -> AsyncMap`}async next(){let e=await this.upstream.next();if(e.done)return{value:null,done:!0};let t=ur.getTensorsInContainer(e.value),n=await this.transform(e.value),r=ur.getTensorsInContainer(n);for(let a of t)ur.isTensorInList(a,r)||a.dispose();return{value:n,done:!1}}},Vy=class extends Gt{constructor(){super();this.outputQueue=new Wy,this.lastRead=Promise.resolve({value:null,done:!1})}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){for(;this.outputQueue.length()===0;)if(!await this.pump())return{value:null,done:!0};return{value:this.outputQueue.shift(),done:!1}}},Mre=class extends Vy{constructor(e,t){super();this.upstream=e,this.transform=t}summary(){return`${this.upstream.summary()} -> Flatmap`}async pump(){let e=await this.upstream.next();if(e.done)return!1;let t=ur.getTensorsInContainer(e.value),n=this.transform(e.value),r=ur.getTensorsInContainer(n);this.outputQueue.pushAll(n);for(let a of t)ur.isTensorInList(a,r)||a.dispose();return!0}},xv=class extends Gt{constructor(e,t){super();this.baseErrorHandler=t,this.lastRead=null,this.iterator=null,this.moreIterators=e}summary(){return"TODO: fill in upstream of chained summaries -> Chained"}async next(){return this.lastRead=this.readFromChain(this.lastRead),this.lastRead}async readFromChain(e){if(await e,this.iterator==null){let n=await this.moreIterators.next();if(n.done)return{value:null,done:!0};this.iterator=n.value,this.baseErrorHandler!=null&&(this.iterator=this.iterator.handleErrors(this.baseErrorHandler))}let t=await this.iterator.next();return t.done?(this.iterator=null,this.readFromChain(e)):t}},Pa;(function(e){e[e.FAIL=0]="FAIL",e[e.SHORTEST=1]="SHORTEST",e[e.LONGEST=2]="LONGEST"})(Pa||(Pa={}));var kre=class extends Gt{constructor(e,t=Pa.FAIL){super();this.iterators=e,this.mismatchMode=t,this.count=0,this.currentPromise=null}summary(){return"{TODO: fill in upstream of zip summaries} -> Zip"}async nextState(e){await e;let t=0,n=0;function r(s){return s instanceof Gt?{value:s.next().then(i=>(t++,i.done&&n++,i.value)),recurse:!1}:{value:null,recurse:!0}}let a=await Av(this.iterators,r);if(t===n)return{value:null,done:!0};if(n>0)switch(this.mismatchMode){case Pa.FAIL:throw new Error(`Zipped streams should have the same length. Mismatched at element ${this.count}.`);case Pa.SHORTEST:return{value:null,done:!0};case Pa.LONGEST:default:}return this.count++,{value:a,done:!1}}async next(){return this.currentPromise=this.nextState(this.currentPromise),this.currentPromise}},_v=class extends Gt{constructor(e,t){super();this.upstream=e,this.bufferSize=t,this.buffer=new yv(t)}summary(){return`${this.upstream.summary()} -> Prefetch`}refill(){for(;!this.buffer.isFull();){let e=this.upstream.next();this.buffer.push(e)}}next(){return this.refill(),this.buffer.shift()}},$re=class extends _v{constructor(e,t,n){super(e,t);this.upstream=e,this.windowSize=t,this.upstreamExhausted=!1,this.random=fre.alea(n||k.now().toString()),this.lastRead=Promise.resolve({value:null,done:!1})}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}randomInt(e){return Math.floor(this.random()*e)}chooseIndex(){return this.randomInt(this.buffer.length())}async serialNext(){for(this.upstreamExhausted||this.refill();!this.buffer.isEmpty();){let e=this.chooseIndex(),t=await this.buffer.shuffleExcise(e);if(t.done)this.upstreamExhausted=!0;else return this.refill(),t}return{value:null,done:!0}}},Fl=class{constructor(){this.size=null}batch(e,t=!0){let n=this;k.assert(e>0,()=>`batchSize needs to be positive, but it is ${e}`);let r;return this.size===Infinity||this.size==null?r=this.size:t?r=Math.ceil(this.size/e):r=Math.floor(this.size/e),$n(async()=>(await n.iterator()).columnMajorBatch(e,t,Ore),r)}concatenate(e){let t=this,n;return this.size===Infinity||e.size===Infinity?n=Infinity:this.size!=null&&e.size!=null?n=this.size+e.size:n=null,$n(async()=>(await t.iterator()).concatenate(await e.iterator()),n)}filter(e){let t=this,n;return this.size===Infinity?n=Infinity:n=null,$n(async()=>(await t.iterator()).filter(r=>W(()=>e(r))),n)}async forEachAsync(e){return(await this.iterator()).forEachAsync(e)}map(e){let t=this;return $n(async()=>(await t.iterator()).map(n=>W(()=>e(n))),this.size)}mapAsync(e){let t=this;return $n(async()=>(await t.iterator()).mapAsync(e),this.size)}prefetch(e){if(e==null)throw new RangeError("`Dataset.prefetch()` requires bufferSize to be specified.");let t=this;return $n(async()=>(await t.iterator()).prefetch(e),this.size)}repeat(e){let t=this,n;return this.size!=null&&e>0?n=this.size*e:e===0?n=0:this.size!=null&&(e===void 0||e<0)?n=Infinity:n=null,$n(async()=>{let r=By(async()=>({value:await t.iterator(),done:!1}));return vre(r.take(e))},n)}skip(e){let t=this,n;return this.size!=null&&e>=0&&this.size>=e?n=this.size-e:this.size!=null&&(this.size(await t.iterator()).skip(e),n)}shuffle(e,t,n=!0){if(e==null||e<0)throw this.size==null?new RangeError("`Dataset.shuffle()` requires bufferSize to be specified."):new RangeError(`\`Dataset.shuffle()\` requires bufferSize to be specified. If your data fits in main memory (for regular JS objects), and/or GPU memory (for \`tf.Tensor\`s), consider setting bufferSize to the dataset size (${this.size} elements)`);let r=this,a=pre.alea(t||k.now().toString());return $n(async()=>{let s=a.int32();return n&&(s+=a.int32()),(await r.iterator()).shuffle(e,s.toString())},this.size)}take(e){let t=this,n;return this.size!=null&&this.size>e?n=e:this.size!=null&&this.size<=e?n=this.size:n=null,$n(async()=>(await t.iterator()).take(e),n)}async toArray(){if(this.size===Infinity)throw new Error("Can not convert infinite data stream to array.");return(await this.iterator()).toArray()}async toArrayForTest(){if(this.size===Infinity)throw new Error("Can not convert infinite data stream to array.");return(await this.iterator()).toArrayForTest()}};Fl.MAX_BUFFER_SIZE=1e4;function $n(e,t=null){return new class extends Fl{constructor(){super(...arguments);this.size=t}async iterator(){return e()}}}function sre(e){return $n(async()=>gv(e),e.length)}function ire(e){if(!Ml(e))throw new Error("The argument to zip() must be an object or array.");let t;if(Array.isArray(e))for(let n=0;n{let n=await Av(e,r=>{if(r instanceof Fl)return{value:r.iterator(),recurse:!1};if(Ml(r))return{value:null,recurse:!0};throw new Error("Leaves of the structure passed to zip() must be Datasets, not primitives.")});return Ire(n,Pa.SHORTEST)},t)}function Ore(e){if(e===null)return null;let t=e[0];return gre(t)?{value:Dre(e),recurse:!1}:{value:null,recurse:!0}}function Dre(e){if(e.length===0)throw new Error("Can't make a batch of zero elements.");return e[0]instanceof Ze?Tn(e):cr(e)}var cv=class extends Fl{constructor(e){super();this.input=e}async iterator(){return(await this.input.iterator()).decodeUTF8().split(` -`).map(e=>(e.endsWith("\r")&&(e=e.slice(0,-1)),e))}},Jp='"',Mc=Symbol("out"),bv=Symbol("field"),Qp=Symbol("quote"),Uy=Symbol("quoteafterquote"),vv=Symbol("quoteinquote"),hv=class extends Fl{constructor(e,t){super();this.input=e,this.hasHeader=!0,this.fullColumnNames=null,this.columnNamesValidated=!1,this.columnConfigs=null,this.configuredColumnsOnly=!1,this.delimiter=",",this.delimWhitespace=!1,this.base=new cv(e),t||(t={}),this.hasHeader=t.hasHeader!==!1,this.fullColumnNames=t.columnNames,this.columnConfigs=t.columnConfigs,this.configuredColumnsOnly=t.configuredColumnsOnly,t.delimWhitespace?(k.assert(t.delimiter==null,()=>"Delimiter should not be provided when delimWhitespace is true."),this.delimWhitespace=!0,this.delimiter=" "):this.delimiter=t.delimiter?t.delimiter:","}async columnNames(){return this.columnNamesValidated||await this.setColumnNames(),this.configuredColumnsOnly?Object.keys(this.columnConfigs):this.fullColumnNames}async setColumnNames(){let e=await this.maybeReadHeaderLine();if(!this.fullColumnNames&&!e)throw new Error("Column names must be provided if there is no header line.");this.fullColumnNames&&e&&k.assert(e.length===this.fullColumnNames.length,()=>"The length of provided columnNames ("+this.fullColumnNames.length.toString()+") does not match the length of the header line read from file ("+e.length.toString()+")."),this.fullColumnNames||(this.fullColumnNames=e);let t=this.fullColumnNames.reduce((r,a)=>(r[a]=r[a]+1||1,r),{}),n=Object.keys(t).filter(r=>t[r]>1);if(k.assert(n.length===0,()=>"Duplicate column names found: "+n.toString()),this.columnConfigs){for(let r of Object.keys(this.columnConfigs))if(this.fullColumnNames.indexOf(r)===-1)throw new Error('The key "'+r+'" provided in columnConfigs does not match any of the column names ('+this.fullColumnNames.toString()+").")}this.columnNamesValidated=!0}async maybeReadHeaderLine(){if(this.hasHeader){let e=await(await this.base.iterator()).next();if(e.done)throw new Error("No data was found for CSV parsing.");let t=e.value;return this.parseRow(t,!1)}else return null}async iterator(){this.columnNamesValidated||await this.setColumnNames();let e=await this.base.iterator();return this.hasHeader&&(e=e.skip(1)),e.map(t=>this.makeDataElement(t))}makeDataElement(e){let t=this.parseRow(e),n={},r={};for(let a=0;a14||!Number.isInteger(t))throw new Error(`Invalid fftSize: it must be a power of 2 between 2 to 4 and 2 to 14, but got ${this.fftSize}`);if(this.numFrames=e.numFramesPerSpectrogram||43,this.sampleRateHz=e.sampleRateHz,this.columnTruncateLength=e.columnTruncateLength||this.fftSize,this.audioTrackConstraints=e.audioTrackConstraints,this.smoothingTimeConstant=e.smoothingTimeConstant||0,this.includeSpectrogram=e.includeSpectrogram!==!1,this.includeWaveform=e.includeWaveform===!0,!this.includeSpectrogram&&!this.includeWaveform)throw new Error("Both includeSpectrogram and includeWaveform are false. At least one type of data should be returned.")}summary(){return"microphone"}static async create(e={}){if(Q().get("IS_NODE"))throw new Error("microphone API is only supported in browser environment.");let t=new kv(e);return await t.start(),t}async start(){try{this.stream=await navigator.mediaDevices.getUserMedia({audio:this.audioTrackConstraints==null?!0:this.audioTrackConstraints,video:!1})}catch(n){throw new Error(`Error thrown while initializing video stream: ${n.message}`)}if(!this.stream)throw new Error("Could not obtain audio from microphone.");let e=window.AudioContext||window.webkitAudioContext;if(this.audioContext=new e,!this.sampleRateHz)this.sampleRateHz=this.audioContext.sampleRate;else if(this.audioContext.sampleRate!==this.sampleRateHz)throw new Error(`Mismatch in sampling rate: Expected: ${this.sampleRateHz}; Actual: ${this.audioContext.sampleRate}`);let t=this.audioContext.createMediaStreamSource(this.stream);this.analyser=this.audioContext.createAnalyser(),this.analyser.fftSize=this.fftSize*2,this.analyser.smoothingTimeConstant=this.smoothingTimeConstant,t.connect(this.analyser),this.freqData=new Float32Array(this.fftSize),this.timeData=new Float32Array(this.fftSize)}async next(){if(this.isClosed)return{value:null,done:!0};let e,t,n=await this.getAudioData();if(this.includeSpectrogram){let r=this.flattenQueue(n.freqDataQueue);e=this.getTensorFromAudioDataArray(r,[this.numFrames,this.columnTruncateLength,1])}if(this.includeWaveform){let r=this.flattenQueue(n.timeDataQueue);t=this.getTensorFromAudioDataArray(r,[this.numFrames*this.fftSize,1])}return{value:{spectrogram:e,waveform:t},done:!1}}async capture(){return(await this.next()).value}async getAudioData(){let e=[],t=[],n=0;return new Promise(r=>{let a=setInterval(()=>{this.includeSpectrogram&&(this.analyser.getFloatFrequencyData(this.freqData),this.freqData[0]===-Infinity&&r({freqDataQueue:e,timeDataQueue:t}),e.push(this.freqData.slice(0,this.columnTruncateLength))),this.includeWaveform&&(this.analyser.getFloatTimeDomainData(this.timeData),t.push(this.timeData.slice())),++n===this.numFrames&&(clearInterval(a),r({freqDataQueue:e,timeDataQueue:t}))},this.fftSize/this.sampleRateHz*1e3)})}stop(){this.isClosed||(this.isClosed=!0,this.analyser.disconnect(),this.audioContext.close(),this.stream!=null&&this.stream.getTracks().length>0&&this.stream.getTracks()[0].stop())}toArray(){throw new Error("Can not convert infinite audio stream to array.")}getSampleRate(){return this.sampleRateHz}flattenQueue(e){let t=e[0].length,n=new Float32Array(e.length*t);return e.forEach((r,a)=>n.set(r,a*t)),n}getTensorFromAudioDataArray(e,t){let n=new Float32Array(k.sizeFromShape(t));return n.set(e,n.length-e.length),cr(n,t)}},Iv=class extends Gt{constructor(e,t){super();if(this.webcamVideoElement=e,this.webcamConfig=t,this.isClosed=!0,this.resize=!1,this.needToResize())if(this.resize=!0,this.cropSize=[this.webcamConfig.resizeHeight,this.webcamConfig.resizeWidth],this.cropBoxInd=Bt([0],"int32"),this.webcamConfig.centerCrop){let n=this.webcamConfig.resizeWidth*1/this.webcamVideoElement.width,r=this.webcamConfig.resizeHeight*1/this.webcamVideoElement.height,a=(1-n)/2,s=(1-r)/2,i=a+n,o=r+s;this.cropBox=fn([s,a,o,i],[1,4])}else this.cropBox=fn([0,0,1,1],[1,4])}summary(){return"webcam"}static async create(e,t={}){if(Q().get("IS_NODE"))throw new Error("tf.data.webcam is only supported in browser environment.");if(!e){if(e=document.createElement("video"),!t.resizeWidth||!t.resizeHeight)throw new Error("Please provide webcam video element, or resizeWidth and resizeHeight to create a hidden video element.");e.width=t.resizeWidth,e.height=t.resizeHeight}let n=new Iv(e,t);return await n.start(),n}async start(){this.webcamConfig.facingMode&&k.assert(this.webcamConfig.facingMode==="user"||this.webcamConfig.facingMode==="environment",()=>`Invalid webcam facing mode: ${this.webcamConfig.facingMode}. Please provide 'user' or 'environment'`);try{this.stream=await navigator.mediaDevices.getUserMedia({video:{deviceId:this.webcamConfig.deviceId,facingMode:this.webcamConfig.facingMode?this.webcamConfig.facingMode:"user",width:this.webcamVideoElement.width,height:this.webcamVideoElement.height}})}catch(e){throw e.message=`Error thrown while initializing video stream: ${e.message}`,e}if(!this.stream)throw new Error("Could not obtain video from webcam.");try{this.webcamVideoElement.srcObject=this.stream}catch(e){console.log(e),this.webcamVideoElement.src=window.URL.createObjectURL(this.stream)}return this.webcamVideoElement.play(),this.isClosed=!1,new Promise(e=>{this.webcamVideoElement.onloadedmetadata=()=>{e()}})}async next(){if(this.isClosed)return{value:null,done:!0};let e;try{e=Ho.fromPixels(this.webcamVideoElement)}catch(t){throw new Error(`Error thrown converting video to pixels: ${JSON.stringify(t)}`)}if(this.resize)try{return{value:this.cropAndResizeFrame(e),done:!1}}catch(t){throw new Error(`Error thrown cropping the video: ${t.message}`)}finally{e.dispose()}else return{value:e,done:!1}}needToResize(){return!!(this.webcamConfig.resizeWidth&&this.webcamConfig.resizeHeight&&(this.webcamVideoElement.width!==this.webcamConfig.resizeWidth||this.webcamVideoElement.height!==this.webcamConfig.resizeHeight))}cropAndResizeFrame(e){return W(()=>{let t=kn(me(e,"float32"),0),n;n=Je.cropAndResize(t,this.cropBox,this.cropBoxInd,this.cropSize,"bilinear");let r=n.shape;return q(n,r.slice(1))})}async capture(){return(await this.next()).value}stop(){this.stream.getTracks().forEach(e=>e.stop());try{this.webcamVideoElement.srcObject=null}catch(e){console.log(e),this.webcamVideoElement.src=null}this.isClosed=!0}toArray(){throw new Error("Can not convert infinite video stream to array.")}},Nv=class{},Sv=class extends Gt{split(e){return new zre(this,e)}},zre=class extends Sv{constructor(e,t){super();this.upstream=e,this.impl=new Pre(e,t)}summary(){return this.impl.summary()}async next(){return this.impl.next()}},Pre=class extends Vy{constructor(e,t){super();this.upstream=e,this.separator=t,this.carryover=""}summary(){return`${this.upstream.summary()} -> Split('${this.separator}')`}async pump(){let e=await this.upstream.next();if(e.done)return this.carryover===""?!1:(this.outputQueue.push(this.carryover),this.carryover="",!0);let t=e.value.split(this.separator);t[0]=this.carryover+t[0];for(let n of t.slice(0,-1))this.outputQueue.push(n);return this.carryover=t[t.length-1],!0}},Wre=class extends Gt{decodeUTF8(){return new Lre(this)}},Lre=class extends Sv{constructor(e){super();this.upstream=e,this.impl=new Bre(e)}summary(){return this.impl.summary()}async next(){return this.impl.next()}},Bre=class extends Vy{constructor(e){super();if(this.upstream=e,Q().get("IS_BROWSER"))this.decoder=new TextDecoder("utf-8");else{let{StringDecoder:t}=U8();this.decoder=new t("utf8")}}summary(){return`${this.upstream.summary()} -> Utf8`}async pump(){let e=await this.upstream.next(),t;if(e.done)return!1;t=e.value;let n;return Q().get("IS_BROWSER")?n=this.decoder.decode(t,{stream:!0}):n=this.decoder.write(Buffer.from(t.buffer)),this.outputQueue.push(n),!0}},Tv=class extends Wre{constructor(e,t={}){super();this.file=e,this.options=t,k.assert(e instanceof Uint8Array||(Q().get("IS_BROWSER")?e instanceof File||e instanceof Blob:!1),()=>"FileChunkIterator only supports File, Blob and Uint8Array right now."),this.offset=t.offset||0,this.chunkSize=t.chunkSize||1024*1024}summary(){return`FileChunks ${this.file}`}async next(){return this.offset>=(this.file instanceof Uint8Array?this.file.byteLength:this.file.size)?{value:null,done:!0}:{value:await new Promise((e,t)=>{let n=this.offset+this.chunkSize;if(this.file instanceof Uint8Array)e(new Uint8Array(this.file.slice(this.offset,n)));else{let r=new FileReader;r.onload=s=>{let i=r.result;if(i instanceof 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this.handDetector.estimateHandBounds(t,n),this.skipped=0),n.videoOptimized&&this.skipped++,a&&a.length>0&&(a.length!==this.detectedHands&&this.detectedHands!==n.hand.maxHands||!n.hand.landmarks)&&(this.detectedHands=0,this.storedBoxes=[...a],this.storedBoxes.length>0&&(r=!0));let s=[];for(let i=0;i=n.hand.minConfidence){let b=q(y,[-1,3]),x=b.arraySync();y.dispose(),b.dispose();let _=this.transformRawCoords(x,p,l,d),w=this.getBoxForHandLandmarks(_);this.storedBoxes[i]=w;let N={landmarks:_,confidence:g,box:{topLeft:w.startPoint,bottomRight:w.endPoint}};s.push(N)}else this.storedBoxes[i]=null;y.dispose()}else{let l=d0(p0(o),d6),c={confidence:o.confidence,box:{topLeft:l.startPoint,bottomRight:l.endPoint}};s.push(c)}}return this.storedBoxes=this.storedBoxes.filter(i=>i!==null),this.detectedHands=s.length,s}calculateLandmarksBoundingBox(t){let n=t.map(i=>i[0]),r=t.map(i=>i[1]),a=[Math.min(...n),Math.min(...r)],s=[Math.max(...n),Math.max(...r)];return{startPoint:a,endPoint:s}}};var 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z2(r,n,e.hand.inputSize),s=new W2(a);return e.hand.enabled&&Te(`load model: ${e.hand.detector.modelPath.match(/\/(.*)\./)[1]}`),e.hand.landmarks&&Te(`load model: ${e.hand.skeleton.modelPath.match(/\/(.*)\./)[1]}`),s}var m6=e=>{if(!e)return[];let t=[];for(let n=0;nl.part==="leftWrist"),a=e[n].keypoints.find(l=>l.part==="rightWrist"),s=e[n].keypoints.find(l=>l.part==="nose");s&&r&&a&&r.position.yl.part==="leftShoulder"),o=e[n].keypoints.find(l=>l.part==="rightShoulder");i&&o&&t.push({body:n,gesture:`leaning ${i.position.y>o.position.y?"left":"right"}`})}return t},A6=e=>{if(!e)return[];let t=[];for(let n=0;n0){let r=e[n].mesh[35][2]-e[n].mesh[263][2];Math.abs(r)<10?t.push({face:n,gesture:"facing camera"}):t.push({face:n,gesture:`facing ${r<0?"right":"left"}`}),Math.abs(e[n].mesh[374][1]-e[n].mesh[386][1])/Math.abs(e[n].mesh[443][1]-e[n].mesh[450][1])<.2&&t.push({face:n,gesture:"blink left eye"}),Math.abs(e[n].mesh[145][1]-e[n].mesh[159][1])/Math.abs(e[n].mesh[223][1]-e[n].mesh[230][1])<.2&&t.push({face:n,gesture:"blink right eye"});let i=Math.min(100,500*Math.abs(e[n].mesh[13][1]-e[n].mesh[14][1])/Math.abs(e[n].mesh[10][1]-e[n].mesh[152][1]));i>10&&t.push({face:n,gesture:`mouth ${Math.trunc(i)}% open`});let o=e[n].mesh[152][2];Math.abs(o)>10&&t.push({face:n,gesture:`head ${o<0?"up":"down"}`})}return t},y6=e=>{if(!e)return[];let t=[];for(let n=0;n{if(!e)return[];let t=[];for(let n=0;n0){let a=r.reduce((i,o)=>i.position[2]i.position[1](c[d]=0,h))},a=function(o,l){let c=e.createShader(l);if(e.shaderSource(c,o),e.compileShader(c),!e.getShaderParameter(c,e.COMPILE_STATUS))throw new Error("Filter: GL compile failed",e.getShaderInfoLog(c));return c};this.uniform={},this.attribute={};let 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Fl{constructor(e,t){super();this.input=e,this.hasHeader=!0,this.fullColumnNames=null,this.columnNamesValidated=!1,this.columnConfigs=null,this.configuredColumnsOnly=!1,this.delimiter=",",this.delimWhitespace=!1,this.base=new cv(e),t||(t={}),this.hasHeader=t.hasHeader!==!1,this.fullColumnNames=t.columnNames,this.columnConfigs=t.columnConfigs,this.configuredColumnsOnly=t.configuredColumnsOnly,t.delimWhitespace?(k.assert(t.delimiter==null,()=>"Delimiter should not be provided when delimWhitespace is true."),this.delimWhitespace=!0,this.delimiter=" "):this.delimiter=t.delimiter?t.delimiter:","}async columnNames(){return this.columnNamesValidated||await this.setColumnNames(),this.configuredColumnsOnly?Object.keys(this.columnConfigs):this.fullColumnNames}async setColumnNames(){let e=await this.maybeReadHeaderLine();if(!this.fullColumnNames&&!e)throw new Error("Column names must be provided if there is no header line.");this.fullColumnNames&&e&&k.assert(e.length===this.fullColumnNames.length,()=>"The length of provided columnNames ("+this.fullColumnNames.length.toString()+") does not match the length of the header line read from file ("+e.length.toString()+")."),this.fullColumnNames||(this.fullColumnNames=e);let t=this.fullColumnNames.reduce((r,a)=>(r[a]=r[a]+1||1,r),{}),n=Object.keys(t).filter(r=>t[r]>1);if(k.assert(n.length===0,()=>"Duplicate column names found: "+n.toString()),this.columnConfigs){for(let r of Object.keys(this.columnConfigs))if(this.fullColumnNames.indexOf(r)===-1)throw new Error('The key "'+r+'" provided in columnConfigs does not match any of the column names ('+this.fullColumnNames.toString()+").")}this.columnNamesValidated=!0}async maybeReadHeaderLine(){if(this.hasHeader){let e=await(await this.base.iterator()).next();if(e.done)throw new Error("No data was found for CSV parsing.");let t=e.value;return this.parseRow(t,!1)}else return null}async iterator(){this.columnNamesValidated||await this.setColumnNames();let e=await this.base.iterator();return this.hasHeader&&(e=e.skip(1)),e.map(t=>this.makeDataElement(t))}makeDataElement(e){let t=this.parseRow(e),n={},r={};for(let a=0;a14||!Number.isInteger(t))throw new Error(`Invalid fftSize: it must be a power of 2 between 2 to 4 and 2 to 14, but got ${this.fftSize}`);if(this.numFrames=e.numFramesPerSpectrogram||43,this.sampleRateHz=e.sampleRateHz,this.columnTruncateLength=e.columnTruncateLength||this.fftSize,this.audioTrackConstraints=e.audioTrackConstraints,this.smoothingTimeConstant=e.smoothingTimeConstant||0,this.includeSpectrogram=e.includeSpectrogram!==!1,this.includeWaveform=e.includeWaveform===!0,!this.includeSpectrogram&&!this.includeWaveform)throw new Error("Both includeSpectrogram and includeWaveform are false. At least one type of data should be returned.")}summary(){return"microphone"}static async create(e={}){if(Q().get("IS_NODE"))throw new Error("microphone API is only supported in browser environment.");let t=new kv(e);return await t.start(),t}async start(){try{this.stream=await navigator.mediaDevices.getUserMedia({audio:this.audioTrackConstraints==null?!0:this.audioTrackConstraints,video:!1})}catch(n){throw new Error(`Error thrown while initializing video stream: ${n.message}`)}if(!this.stream)throw new Error("Could not obtain audio from microphone.");let e=window.AudioContext||window.webkitAudioContext;if(this.audioContext=new e,!this.sampleRateHz)this.sampleRateHz=this.audioContext.sampleRate;else if(this.audioContext.sampleRate!==this.sampleRateHz)throw new Error(`Mismatch in sampling rate: Expected: ${this.sampleRateHz}; Actual: ${this.audioContext.sampleRate}`);let t=this.audioContext.createMediaStreamSource(this.stream);this.analyser=this.audioContext.createAnalyser(),this.analyser.fftSize=this.fftSize*2,this.analyser.smoothingTimeConstant=this.smoothingTimeConstant,t.connect(this.analyser),this.freqData=new Float32Array(this.fftSize),this.timeData=new Float32Array(this.fftSize)}async next(){if(this.isClosed)return{value:null,done:!0};let e,t,n=await this.getAudioData();if(this.includeSpectrogram){let r=this.flattenQueue(n.freqDataQueue);e=this.getTensorFromAudioDataArray(r,[this.numFrames,this.columnTruncateLength,1])}if(this.includeWaveform){let r=this.flattenQueue(n.timeDataQueue);t=this.getTensorFromAudioDataArray(r,[this.numFrames*this.fftSize,1])}return{value:{spectrogram:e,waveform:t},done:!1}}async capture(){return(await this.next()).value}async getAudioData(){let e=[],t=[],n=0;return new Promise(r=>{let a=setInterval(()=>{this.includeSpectrogram&&(this.analyser.getFloatFrequencyData(this.freqData),this.freqData[0]===-Infinity&&r({freqDataQueue:e,timeDataQueue:t}),e.push(this.freqData.slice(0,this.columnTruncateLength))),this.includeWaveform&&(this.analyser.getFloatTimeDomainData(this.timeData),t.push(this.timeData.slice())),++n===this.numFrames&&(clearInterval(a),r({freqDataQueue:e,timeDataQueue:t}))},this.fftSize/this.sampleRateHz*1e3)})}stop(){this.isClosed||(this.isClosed=!0,this.analyser.disconnect(),this.audioContext.close(),this.stream!=null&&this.stream.getTracks().length>0&&this.stream.getTracks()[0].stop())}toArray(){throw new Error("Can not convert infinite audio stream to array.")}getSampleRate(){return this.sampleRateHz}flattenQueue(e){let t=e[0].length,n=new Float32Array(e.length*t);return e.forEach((r,a)=>n.set(r,a*t)),n}getTensorFromAudioDataArray(e,t){let n=new Float32Array(k.sizeFromShape(t));return n.set(e,n.length-e.length),cr(n,t)}},Iv=class extends Gt{constructor(e,t){super();if(this.webcamVideoElement=e,this.webcamConfig=t,this.isClosed=!0,this.resize=!1,this.needToResize())if(this.resize=!0,this.cropSize=[this.webcamConfig.resizeHeight,this.webcamConfig.resizeWidth],this.cropBoxInd=Bt([0],"int32"),this.webcamConfig.centerCrop){let n=this.webcamConfig.resizeWidth*1/this.webcamVideoElement.width,r=this.webcamConfig.resizeHeight*1/this.webcamVideoElement.height,a=(1-n)/2,s=(1-r)/2,i=a+n,o=r+s;this.cropBox=fn([s,a,o,i],[1,4])}else this.cropBox=fn([0,0,1,1],[1,4])}summary(){return"webcam"}static async create(e,t={}){if(Q().get("IS_NODE"))throw new Error("tf.data.webcam is only supported in browser environment.");if(!e){if(e=document.createElement("video"),!t.resizeWidth||!t.resizeHeight)throw new Error("Please provide webcam video element, or resizeWidth and resizeHeight to create a hidden video element.");e.width=t.resizeWidth,e.height=t.resizeHeight}let n=new Iv(e,t);return await n.start(),n}async start(){this.webcamConfig.facingMode&&k.assert(this.webcamConfig.facingMode==="user"||this.webcamConfig.facingMode==="environment",()=>`Invalid webcam facing mode: ${this.webcamConfig.facingMode}. 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Sv{constructor(e,t){super();this.upstream=e,this.impl=new Pre(e,t)}summary(){return this.impl.summary()}async next(){return this.impl.next()}},Pre=class extends Vy{constructor(e,t){super();this.upstream=e,this.separator=t,this.carryover=""}summary(){return`${this.upstream.summary()} -> Split('${this.separator}')`}async pump(){let e=await this.upstream.next();if(e.done)return this.carryover===""?!1:(this.outputQueue.push(this.carryover),this.carryover="",!0);let t=e.value.split(this.separator);t[0]=this.carryover+t[0];for(let n of t.slice(0,-1))this.outputQueue.push(n);return this.carryover=t[t.length-1],!0}},Wre=class extends Gt{decodeUTF8(){return new Lre(this)}},Lre=class extends Sv{constructor(e){super();this.upstream=e,this.impl=new Bre(e)}summary(){return this.impl.summary()}async next(){return this.impl.next()}},Bre=class extends Vy{constructor(e){super();if(this.upstream=e,Q().get("IS_BROWSER"))this.decoder=new TextDecoder("utf-8");else{let{StringDecoder:t}=U8();this.decoder=new t("utf8")}}summary(){return`${this.upstream.summary()} -> Utf8`}async pump(){let e=await this.upstream.next(),t;if(e.done)return!1;t=e.value;let n;return Q().get("IS_BROWSER")?n=this.decoder.decode(t,{stream:!0}):n=this.decoder.write(Buffer.from(t.buffer)),this.outputQueue.push(n),!0}},Tv=class extends Wre{constructor(e,t={}){super();this.file=e,this.options=t,k.assert(e instanceof Uint8Array||(Q().get("IS_BROWSER")?e instanceof File||e instanceof Blob:!1),()=>"FileChunkIterator only supports File, Blob and Uint8Array right now."),this.offset=t.offset||0,this.chunkSize=t.chunkSize||1024*1024}summary(){return`FileChunks ${this.file}`}async next(){return this.offset>=(this.file instanceof Uint8Array?this.file.byteLength:this.file.size)?{value:null,done:!0}:{value:await new Promise((e,t)=>{let n=this.offset+this.chunkSize;if(this.file instanceof Uint8Array)e(new Uint8Array(this.file.slice(this.offset,n)));else{let r=new FileReader;r.onload=s=>{let i=r.result;if(i instanceof 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Nv{constructor(e,t={}){super();this.url=e,this.fileOptions=t}async iterator(){return Ev(this.url)?new dv(this.url,this.fileOptions).iterator():Ure(this.url,this.fileOptions)}};function ore(e,t={}){return new hv(new pv(e),t)}function lre(e){let t=By(e);return $n(async()=>t)}function ure(e){return $n(async()=>{let t=await e();return By(()=>t.next())})}async function cre(e,t){return Iv.create(e,t)}async function hre(e){return kv.create(e)}var dre="3.1.0",jre={tfjs:j8,"tfjs-core":G8,"tfjs-data":H8,"tfjs-layers":q8,"tfjs-converter":X8,"tfjs-backend-cpu":Cx,"tfjs-backend-webgl":Yw,"tfjs-backend-wasm":Bb};var un={name:"humangl",priority:99,canvas:null,gl:null,width:1024,height:1024,webGLattr:{alpha:!1,antialias:!1,premultipliedAlpha:!1,preserveDrawingBuffer:!1,depth:!1,stencil:!1,failIfMajorPerformanceCaveat:!1,desynchronized:!0}};function Cv(){if(!uf(un.name)){Te("backend registration:",un.name);try{un.canvas=typeof OffscreenCanvas!="undefined"?new 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Sae(e,t,n){return{score:e.score,keypoints:e.keypoints.map(({score:r,part:a,position:s})=>({score:r,part:a,position:{x:s.x*n,y:s.y*t}}))}}function s6(e,[t,n]){let r=e.squeeze(0),a=r.resizeBilinear([t,n]);return r.dispose(),a}function C2(e,[t,n],[r,a]){return e.map(i=>Sae(i,t/r,n/a))}async function Tae(e,t,n){return new Promise(async r=>{let a=e.shape[1],s=e.shape[2],i=await a6([t.heatmapScores,t.offsets,t.displacementFwd,t.displacementBwd]),o=i[0],l=i[1],c=i[2],u=i[3],h=await r6(o,l,c,u,n),d=C2(h,[a,s],[n.body.inputSize,n.body.inputSize]);r(d)})}async function Eae(e,t,n){return new Promise(async r=>{let a=e.shape[1],s=e.shape[2],o=[await t6(t.heatmapScores,t.offsets,n)],l=C2(o,[a,s],[n.body.inputSize,n.body.inputSize]);r(l)})}var F2=class{constructor(t){this.baseModel=t}async estimatePoses(t,n){let r=s6(t,[n.body.inputSize,n.body.inputSize]),a=this.baseModel.predict(r,n),s=n.body.maxDetections<2?await Eae(t,a,n):await Tae(t,a,n);return a.heatmapScores.dispose(),a.offsets.dispose(),a.displacementFwd.dispose(),a.displacementBwd.dispose(),r.dispose(),s}dispose(){this.baseModel.dispose()}};async function M2(e){let t=await Tt(e.body.modelPath),n=new w2(t);return Te(`load model: ${e.body.modelPath.match(/\/(.*)\./)[1]}`),new F2(n)}var P2={};vr(P2,{HandPose:()=>W2,load:()=>B2});function h0(e){return[Math.abs(e.endPoint[0]-e.startPoint[0]),Math.abs(e.endPoint[1]-e.startPoint[1])]}function Dc(e){return[e.startPoint[0]+(e.endPoint[0]-e.startPoint[0])/2,e.startPoint[1]+(e.endPoint[1]-e.startPoint[1])/2]}function i6(e,t,n){let r=t.shape[1],a=t.shape[2],s=[[e.startPoint[1]/r,e.startPoint[0]/a,e.endPoint[1]/r,e.endPoint[0]/a]];return Je.cropAndResize(t,s,[0],n)}function o6(e,t){let n=[e.startPoint[0]*t[0],e.startPoint[1]*t[1]],r=[e.endPoint[0]*t[0],e.endPoint[1]*t[1]],a=e.palmLandmarks.map(s=>[s[0]*t[0],s[1]*t[1]]);return{startPoint:n,endPoint:r,palmLandmarks:a,confidence:e.confidence}}function d0(e,t=1.5){let n=Dc(e),r=h0(e),a=[t*r[0]/2,t*r[1]/2],s=[n[0]-a[0],n[1]-a[1]],i=[n[0]+a[0],n[1]+a[1]];return{startPoint:s,endPoint:i,palmLandmarks:e.palmLandmarks}}function p0(e){let t=Dc(e),n=h0(e),a=Math.max(...n)/2,s=[t[0]-a,t[1]-a],i=[t[0]+a,t[1]+a];return{startPoint:s,endPoint:i,palmLandmarks:e.palmLandmarks}}var $2=class{constructor(t,n,r){this.model=t,this.anchors=r.map(a=>[a.x_center,a.y_center]),this.anchorsTensor=fn(this.anchors),this.inputSizeTensor=Bt([n,n]),this.doubleInputSizeTensor=Bt([n*2,n*2])}normalizeBoxes(t){return W(()=>{let n=Ee(t,[0,0],[-1,2]),r=Ee(t,[0,2],[-1,2]),a=se(be(n,this.inputSizeTensor),this.anchorsTensor),s=be(r,this.doubleInputSizeTensor),i=L(Ae(a,s),this.inputSizeTensor),o=L(se(a,s),this.inputSizeTensor);return Jo([i,o],1)})}normalizeLandmarks(t,n){return W(()=>{let r=se(be(t.reshape([-1,7,2]),this.inputSizeTensor),this.anchors[n]);return L(r,this.inputSizeTensor)})}async getBoxes(t,n){let r=this.model.predict(t),a=r.squeeze();r.dispose();let s=W(()=>vn(Ee(a,[0,0],[-1,1])).squeeze()),i=s.dataSync(),o=Ee(a,[0,1],[-1,4]),l=this.normalizeBoxes(o);o.dispose();let c=await Je.nonMaxSuppressionAsync(l,i,n.hand.maxHands,n.hand.iouThreshold,n.hand.scoreThreshold),u=c.arraySync();s.dispose(),c.dispose();let h=[];for(let d of u)if(i[d]>=n.hand.minConfidence){let p=Ee(l,[d,0],[1,-1]),f=Ee(a,[d,5],[1,14]),m=W(()=>this.normalizeLandmarks(f,d).reshape([-1,2]));f.dispose(),h.push({box:p,palmLandmarks:m,confidence:i[d]})}return a.dispose(),l.dispose(),h}async estimateHandBounds(t,n){let r=t.shape[1],a=t.shape[2],s=W(()=>t.resizeBilinear([n.hand.inputSize,n.hand.inputSize]).div(127.5).sub(1)),i=await this.getBoxes(s,n);s.dispose();let o=[];if(!i||i.length===0)return o;for(let l of i){let c=l.box.dataSync(),u=c.slice(0,2),h=c.slice(2,4),d=l.palmLandmarks.arraySync();l.box.dispose(),l.palmLandmarks.dispose(),o.push(o6({startPoint:u,endPoint:h,palmLandmarks:d,confidence:l.confidence},[a/n.hand.inputSize,r/n.hand.inputSize]))}return o}};function Cae(e){return e-2*Math.PI*Math.floor((e+Math.PI)/(2*Math.PI))}function l6(e,t){let n=Math.PI/2-Math.atan2(-(t[1]-e[1]),t[0]-e[0]);return Cae(n)}var u6=(e,t)=>[[1,0,e],[0,1,t],[0,0,1]];function Wa(e,t){let n=0;for(let r=0;rD2([...s,1],n)),a=this.calculateLandmarksBoundingBox(r);return d0(p0(a),Fae)}getBoxForHandLandmarks(t){let n=this.calculateLandmarksBoundingBox(t),r=d0(p0(n),d6);r.palmLandmarks=[];for(let a=0;a[i[0]*(p[0]-this.inputSize/2),i[1]*(p[1]-this.inputSize/2),i[2]*p[2]]),l=O2(r,[0,0]),c=o.map(p=>[...D2(p,l),p[2]]),u=h6(a),h=[...Dc(n),1],d=[Wa(h,u[0]),Wa(h,u[1])];return c.map(p=>[p[0]+d[0],p[1]+d[1],p[2]])}async estimateHands(t,n){let r=!1,a;(this.skipped===0||this.skipped>n.hand.skipFrames||!n.hand.landmarks||!n.videoOptimized)&&(a=await this.handDetector.estimateHandBounds(t,n),this.skipped=0),n.videoOptimized&&this.skipped++,a&&a.length>0&&(a.length!==this.detectedHands&&this.detectedHands!==n.hand.maxHands||!n.hand.landmarks)&&(this.detectedHands=0,this.storedBoxes=[...a],this.storedBoxes.length>0&&(r=!0));let s=[];for(let i=0;i=n.hand.minConfidence){let b=q(y,[-1,3]),x=b.arraySync();y.dispose(),b.dispose();let _=this.transformRawCoords(x,p,l,d),w=this.getBoxForHandLandmarks(_);this.storedBoxes[i]=w;let N={landmarks:_,confidence:g,box:{topLeft:w.startPoint,bottomRight:w.endPoint}};s.push(N)}else this.storedBoxes[i]=null;y.dispose()}else{let l=d0(p0(o),d6),c={confidence:o.confidence,box:{topLeft:l.startPoint,bottomRight:l.endPoint}};s.push(c)}}return this.storedBoxes=this.storedBoxes.filter(i=>i!==null),this.detectedHands=s.length,s}calculateLandmarksBoundingBox(t){let n=t.map(i=>i[0]),r=t.map(i=>i[1]),a=[Math.min(...n),Math.min(...r)],s=[Math.max(...n),Math.max(...r)];return{startPoint:a,endPoint:s}}};var 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z2(r,n,e.hand.inputSize),s=new W2(a);return e.hand.enabled&&Te(`load model: ${e.hand.detector.modelPath.match(/\/(.*)\./)[1]}`),e.hand.landmarks&&Te(`load model: ${e.hand.skeleton.modelPath.match(/\/(.*)\./)[1]}`),s}var m6=e=>{if(!e)return[];let t=[];for(let n=0;nl.part==="leftWrist"),a=e[n].keypoints.find(l=>l.part==="rightWrist"),s=e[n].keypoints.find(l=>l.part==="nose");s&&r&&a&&r.position.yl.part==="leftShoulder"),o=e[n].keypoints.find(l=>l.part==="rightShoulder");i&&o&&t.push({body:n,gesture:`leaning ${i.position.y>o.position.y?"left":"right"}`})}return t},A6=e=>{if(!e)return[];let t=[];for(let n=0;n0){let r=e[n].mesh[35][2]-e[n].mesh[263][2];Math.abs(r)<10?t.push({face:n,gesture:"facing camera"}):t.push({face:n,gesture:`facing ${r<0?"right":"left"}`}),Math.abs(e[n].mesh[374][1]-e[n].mesh[386][1])/Math.abs(e[n].mesh[443][1]-e[n].mesh[450][1])<.2&&t.push({face:n,gesture:"blink left eye"}),Math.abs(e[n].mesh[145][1]-e[n].mesh[159][1])/Math.abs(e[n].mesh[223][1]-e[n].mesh[230][1])<.2&&t.push({face:n,gesture:"blink right eye"});let i=Math.min(100,500*Math.abs(e[n].mesh[13][1]-e[n].mesh[14][1])/Math.abs(e[n].mesh[10][1]-e[n].mesh[152][1]));i>10&&t.push({face:n,gesture:`mouth ${Math.trunc(i)}% open`});let o=e[n].mesh[152][2];Math.abs(o)>10&&t.push({face:n,gesture:`head ${o<0?"up":"down"}`})}return t},y6=e=>{if(!e)return[];let t=[];for(let n=0;n{if(!e)return[];let t=[];for(let n=0;n0){let a=r.reduce((i,o)=>i.position[2]i.position[1](c[d]=0,h))},a=function(o,l){let c=e.createShader(l);if(e.shaderSource(c,o),e.compileShader(c),!e.getShaderParameter(c,e.COMPILE_STATUS))throw new Error("Filter: GL compile failed",e.getShaderInfoLog(c));return c};this.uniform={},this.attribute={};let 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Embedding:"),this.config.async?i=this.config.face.embedding.enabled?x2(m.image,this.config):{}:(this.state="run:embedding",n=dt(),i=this.config.face.embedding.enabled?await x2(m.image,this.config):{},this.perf.embedding=Math.trunc(dt()-n)),this.analyze("End Emotion:"),this.config.async&&([r,a,s,i]=await Promise.all([r,a,s,i])),this.analyze("Finish Face:"),!this.config.face.iris.enabled&&((u=m==null?void 0:m.annotations)==null?void 0:u.leftEyeIris)&&((h=m==null?void 0:m.annotations)==null?void 0:h.rightEyeIris)&&(delete m.annotations.leftEyeIris,delete m.annotations.rightEyeIris);let A=((d=m.annotations)==null?void 0:d.leftEyeIris)&&((p=m.annotations)==null?void 0:p.rightEyeIris)?11.7*Math.max(Math.abs(m.annotations.leftEyeIris[3][0]-m.annotations.leftEyeIris[1][0]),Math.abs(m.annotations.rightEyeIris[4][1]-m.annotations.rightEyeIris[2][1])):0;o.push({confidence:m.confidence,box:m.box,mesh:m.mesh,boxRaw:m.boxRaw,meshRaw:m.meshRaw,annotations:m.annotations,age:r.age,gender:a.gender,genderConfidence:a.confidence,emotion:s,embedding:i,iris:A!==0?Math.trunc(A)/100:0}),(f=m.image)==null||f.dispose(),this.analyze("End Face")}return this.analyze("End FaceMesh:"),this.config.async&&(this.perf.face&&delete this.perf.face,this.perf.age&&delete this.perf.age,this.perf.gender&&delete this.perf.gender,this.perf.emotion&&delete this.perf.emotion),o}async detect(t,n={}){return new Promise(async r=>{var d,p,f,m;this.state="config";let a;this.config=zc(this.config,n),this.state="check";let s=this.sanity(t);s&&(Te(s,t),r({error:s}));let i,o,l,c=dt();await this.checkBackend(),await this.load(),this.config.scoped&&this.tf.engine().startScope(),this.analyze("Start Scope:"),a=dt();let u=w6(t,this.config);if(!u||!u.tensor){Te("could not convert input to tensor"),r({error:"could not convert input to tensor"});return}this.perf.image=Math.trunc(dt()-a),this.analyze("Get Image:"),this.config.async?(l=this.config.face.enabled?this.detectFace(u.tensor):[],this.perf.face&&delete this.perf.face):(this.state="run:face",a=dt(),l=this.config.face.enabled?await this.detectFace(u.tensor):[],this.perf.face=Math.trunc(dt()-a)),this.analyze("Start Body:"),this.config.async?(i=this.config.body.enabled?(d=this.models.posenet)==null?void 0:d.estimatePoses(u.tensor,this.config):[],this.perf.body&&delete this.perf.body):(this.state="run:body",a=dt(),i=this.config.body.enabled?await((p=this.models.posenet)==null?void 0:p.estimatePoses(u.tensor,this.config)):[],this.perf.body=Math.trunc(dt()-a)),this.analyze("End Body:"),this.analyze("Start Hand:"),this.config.async?(o=this.config.hand.enabled?(f=this.models.handpose)==null?void 0:f.estimateHands(u.tensor,this.config):[],this.perf.hand&&delete this.perf.hand):(this.state="run:hand",a=dt(),o=this.config.hand.enabled?await((m=this.models.handpose)==null?void 0:m.estimateHands(u.tensor,this.config)):[],this.perf.hand=Math.trunc(dt()-a)),this.analyze("End Hand:"),this.config.async&&([l,i,o]=await Promise.all([l,i,o])),u.tensor.dispose(),this.config.scoped&&this.tf.engine().endScope(),this.analyze("End Scope:");let h=[];this.config.gesture.enabled&&(a=dt(),h=[...A6(l),...m6(i),...g6(o),...y6(l)],this.config.async?this.perf.gesture&&delete this.perf.gesture:this.perf.gesture=Math.trunc(dt()-a)),this.perf.total=Math.trunc(dt()-c),this.state="idle",r({face:l,body:i,hand:o,gesture:h,performance:this.perf,canvas:u.canvas})})}async warmupBitmap(){let t=(a,s="application/octet-stream")=>fetch(`data:${s};base64,${a}`).then(i=>i.blob()),n,r;switch(this.config.warmup){case"face":n=await t(f0);break;case"full":n=await t(m0);break;default:n=null}if(n){let a=await createImageBitmap(n);r=await this.detect(a,this.config),a.close()}return r}async warmupCanvas(){return new Promise(t=>{let n,r=0;switch(this.config.warmup){case"face":r=256,n="data:image/jpeg;base64,"+f0;break;case"full":r=1200,n="data:image/jpeg;base64,"+m0;break;default:n=null}let a=new Image(r,r);a.onload=()=>{let s=typeof OffscreenCanvas!="undefined"?new OffscreenCanvas(r,r):document.createElement("canvas");s.width=r,s.height=r;let i=s.getContext("2d");i==null||i.drawImage(a,0,0);let o=i==null?void 0:i.getImageData(0,0,r,r);this.detect(o,this.config).then(l=>t(l))},n?a.src=n:t(null)})}async warmupNode(){let t=i=>Buffer.from(i,"base64"),n=this.config.warmup==="face"?t(f0):t(m0),r=(void 0).decodeJpeg(n),a=r.expandDims(0);this.tf.dispose(r);let s=await this.detect(a,this.config);return this.tf.dispose(a),s}async warmup(t){let n=dt();t&&(this.config=zc(this.config,t));let r=this.config.videoOptimized;this.config.videoOptimized=!1;let a;typeof createImageBitmap=="function"?a=await this.warmupBitmap():typeof Image!="undefined"?a=await this.warmupCanvas():a=await this.warmupNode(),this.config.videoOptimized=r;let s=dt();return Te("Warmup",this.config.warmup,Math.round(s-n),"ms",a),a}};export{B6 as default}; +2Q==`;var V2={};vr(V2,{author:()=>E6,browser:()=>S6,bugs:()=>C6,default:()=>Dae,dependencies:()=>O6,description:()=>v6,devDependencies:()=>z6,engines:()=>M6,homepage:()=>R6,keywords:()=>L6,license:()=>F6,main:()=>I6,module:()=>N6,name:()=>b6,peerDependencies:()=>D6,repository:()=>$6,scripts:()=>P6,sideEffects:()=>k6,types:()=>T6,version:()=>U2});var b6="@vladmandic/human",U2="0.20.5",v6="Human: AI-powered 3D Face Detection, Face Embedding & Recognition, Body Pose Tracking, Hand & Finger Tracking, Iris Analysis, Age & Gender & Emotion Prediction & Gesture Recognition",k6=!1,I6="dist/human.node.js",N6="dist/human.esm.js",S6="dist/human.esm.js",T6="types/human.d.ts",E6="Vladimir Mandic ",C6={url:"https://github.com/vladmandic/human/issues"},R6="https://github.com/vladmandic/human#readme",F6="MIT",M6={node:">=12.0.0"},$6={type:"git",url:"git+https://github.com/vladmandic/human.git"},O6={},D6={},z6={"@tensorflow/tfjs":"^3.1.0","@tensorflow/tfjs-backend-cpu":"^3.1.0","@tensorflow/tfjs-backend-wasm":"^3.1.0","@tensorflow/tfjs-backend-webgl":"^3.1.0","@tensorflow/tfjs-converter":"^3.1.0","@tensorflow/tfjs-core":"^3.1.0","@tensorflow/tfjs-data":"^3.1.0","@tensorflow/tfjs-layers":"^3.1.0","@tensorflow/tfjs-node":"^3.1.0","@tensorflow/tfjs-node-gpu":"^3.1.0","@types/node":"^14.14.31","@typescript-eslint/eslint-plugin":"^4.15.1","@typescript-eslint/parser":"^4.15.1","@vladmandic/pilogger":"^0.2.14",chokidar:"^3.5.1",dayjs:"^1.10.4",esbuild:"^0.8.50",eslint:"^7.20.0","eslint-config-airbnb-base":"^14.2.1","eslint-plugin-import":"^2.22.1","eslint-plugin-json":"^2.1.2","eslint-plugin-node":"^11.1.0","eslint-plugin-promise":"^4.3.1",rimraf:"^3.0.2",seedrandom:"^3.0.5","simple-git":"^2.35.1",tslib:"^2.1.0",typescript:"^4.3.0-dev.20210221"},P6={start:"node --trace-warnings --unhandled-rejections=strict --trace-uncaught --no-deprecation src/node.js",lint:"eslint src demo server",dev:"npm install && node server/serve.js",build:"rimraf dist/* && rimraf types/* && node server/build.js && node server/changelog.js",update:"npm update --depth 20 --force && npm dedupe && npm prune && npm audit"},L6=["tensorflowjs","face-detection","face-geometry","face-embedding","face-recognition","body-tracking","hand-tracking","iris-tracking","age-estimation","emotion-detection","gender-prediction","gesture-recognition"],Dae={name:b6,version:U2,description:v6,sideEffects:k6,main:I6,module:N6,browser:S6,types:T6,author:E6,bugs:C6,homepage:R6,license:F6,engines:M6,repository:$6,dependencies:O6,peerDependencies:D6,devDependencies:z6,scripts:P6,keywords:L6};var dt=()=>typeof performance!="undefined"?performance.now():parseInt((Number(process.hrtime.bigint())/1e3/1e3).toString());function zc(...e){let t=n=>n&&typeof n=="object";return e.reduce((n,r)=>(Object.keys(r||{}).forEach(a=>{let s=n[a],i=r[a];Array.isArray(s)&&Array.isArray(i)?n[a]=s.concat(...i):t(s)&&t(i)?n[a]=zc(s,i):n[a]=i}),n),{})}var B6=class{constructor(t={}){this.tf=uh,this.package=V2,this.version=U2,this.config=zc(_6,t),this.fx=null,this.state="idle",this.numTensors=0,this.analyzeMemoryLeaks=!1,this.checkSanity=!1,this.firstRun=!0,this.perf={},this.models={facemesh:null,posenet:null,handpose:null,iris:null,age:null,gender:null,emotion:null},this.facemesh=W6,this.age=a2,this.gender=o2,this.emotion=p2,this.body=R2,this.hand=P2}profile(){return this.config.profile?t2:{}}analyze(...t){if(!this.analyzeMemoryLeaks)return;let n=this.tf.engine().state.numTensors,r=this.numTensors;this.numTensors=n;let a=n-r;a!==0&&Te(...t,a)}sanity(t){if(!this.checkSanity)return null;if(!t)return"input is not defined";if(this.tf.ENV.flags.IS_NODE&&!(t instanceof this.tf.Tensor))return"input must be a tensor";try{this.tf.getBackend()}catch(n){return"backend not loaded"}return null}simmilarity(t,n){return this.config.face.embedding.enabled?jv(t,n):0}async load(t=null){this.state="load";let n=dt();t&&(this.config=zc(this.config,t)),this.firstRun&&(Te(`version: ${this.version} TensorFlow/JS version: ${this.tf.version_core}`),await this.checkBackend(!0),this.tf.ENV.flags.IS_BROWSER&&(Te("configuration:",this.config),Te("tf flags:",this.tf.ENV.flags)));let r=this.config.face.detector.modelPath.includes("faceboxes")?n2:W6;this.config.async?[this.models.face,this.models.age,this.models.gender,this.models.emotion,this.models.embedding,this.models.posenet,this.models.handpose]=await Promise.all([this.models.face||(this.config.face.enabled?r.load(this.config):null),this.models.age||(this.config.face.enabled&&this.config.face.age.enabled?s2(this.config):null),this.models.gender||(this.config.face.enabled&&this.config.face.gender.enabled?h2(this.config):null),this.models.emotion||(this.config.face.enabled&&this.config.face.emotion.enabled?A2(this.config):null),this.models.embedding||(this.config.face.enabled&&this.config.face.embedding.enabled?g2(this.config):null),this.models.posenet||(this.config.body.enabled?M2(this.config):null),this.models.handpose||(this.config.hand.enabled?B2(this.config):null)]):(this.config.face.enabled&&!this.models.face&&(this.models.face=await r.load(this.config)),this.config.face.enabled&&this.config.face.age.enabled&&!this.models.age&&(this.models.age=await s2(this.config)),this.config.face.enabled&&this.config.face.gender.enabled&&!this.models.gender&&(this.models.gender=await h2(this.config)),this.config.face.enabled&&this.config.face.emotion.enabled&&!this.models.emotion&&(this.models.emotion=await A2(this.config)),this.config.face.enabled&&this.config.face.embedding.enabled&&!this.models.embedding&&(this.models.embedding=await g2(this.config)),this.config.body.enabled&&!this.models.posenet&&(this.models.posenet=await M2(this.config)),this.config.hand.enabled&&!this.models.handpose&&(this.models.handpose=await B2(this.config))),this.firstRun&&(Te("tf engine state:",this.tf.engine().state.numBytes,"bytes",this.tf.engine().state.numTensors,"tensors"),this.firstRun=!1);let a=Math.trunc(dt()-n);a>(this.perf.load||0)&&(this.perf.load=a)}async checkBackend(t=!1){if(this.config.backend&&this.config.backend!==""&&t||this.tf.getBackend()!==this.config.backend){let n=dt();this.state="backend",Te("setting backend:",this.config.backend),this.config.backend==="wasm"&&(Te("settings wasm path:",this.config.wasmPath),this.tf.setWasmPaths(this.config.wasmPath),await this.tf.env().getAsync("WASM_HAS_SIMD_SUPPORT")||Te("warning: wasm simd support is not enabled")),this.config.backend==="humangl"&&Cv();try{await this.tf.setBackend(this.config.backend)}catch(r){Te("error: cannot set backend:",this.config.backend,r)}if(this.tf.enableProdMode(),this.tf.getBackend()==="webgl"){this.config.deallocate&&(Te("changing webgl: WEBGL_DELETE_TEXTURE_THRESHOLD:",this.config.deallocate),this.tf.ENV.set("WEBGL_DELETE_TEXTURE_THRESHOLD",this.config.deallocate?0:-1)),this.tf.ENV.set("WEBGL_FORCE_F16_TEXTURES",!0),this.tf.ENV.set("WEBGL_PACK_DEPTHWISECONV",!0);let r=await this.tf.backend().getGPGPUContext().gl;Te(`gl version:${r.getParameter(r.VERSION)} renderer:${r.getParameter(r.RENDERER)}`)}await this.tf.ready(),this.perf.backend=Math.trunc(dt()-n)}}async detectFace(t){var c,u,h,d,p,f;let n,r,a,s,i,o=[];this.state="run:face",n=dt();let l=await((c=this.models.face)==null?void 0:c.estimateFaces(t,this.config));this.perf.face=Math.trunc(dt()-n);for(let m of l){if(this.analyze("Get Face"),!m.image||m.image.isDisposedInternal){Te("Face object is disposed:",m.image);continue}this.analyze("Start Age:"),this.config.async?r=this.config.face.age.enabled?i2(m.image,this.config):{}:(this.state="run:age",n=dt(),r=this.config.face.age.enabled?await i2(m.image,this.config):{},this.perf.age=Math.trunc(dt()-n)),this.analyze("Start Gender:"),this.config.async?a=this.config.face.gender.enabled?d2(m.image,this.config):{}:(this.state="run:gender",n=dt(),a=this.config.face.gender.enabled?await d2(m.image,this.config):{},this.perf.gender=Math.trunc(dt()-n)),this.analyze("Start Emotion:"),this.config.async?s=this.config.face.emotion.enabled?y2(m.image,this.config):{}:(this.state="run:emotion",n=dt(),s=this.config.face.emotion.enabled?await y2(m.image,this.config):{},this.perf.emotion=Math.trunc(dt()-n)),this.analyze("End Emotion:"),this.analyze("Start Embedding:"),this.config.async?i=this.config.face.embedding.enabled?x2(m.image,this.config):{}:(this.state="run:embedding",n=dt(),i=this.config.face.embedding.enabled?await x2(m.image,this.config):{},this.perf.embedding=Math.trunc(dt()-n)),this.analyze("End Emotion:"),this.config.async&&([r,a,s,i]=await Promise.all([r,a,s,i])),this.analyze("Finish Face:"),!this.config.face.iris.enabled&&((u=m==null?void 0:m.annotations)==null?void 0:u.leftEyeIris)&&((h=m==null?void 0:m.annotations)==null?void 0:h.rightEyeIris)&&(delete m.annotations.leftEyeIris,delete m.annotations.rightEyeIris);let A=((d=m.annotations)==null?void 0:d.leftEyeIris)&&((p=m.annotations)==null?void 0:p.rightEyeIris)?11.7*Math.max(Math.abs(m.annotations.leftEyeIris[3][0]-m.annotations.leftEyeIris[1][0]),Math.abs(m.annotations.rightEyeIris[4][1]-m.annotations.rightEyeIris[2][1])):0;o.push({confidence:m.confidence,box:m.box,mesh:m.mesh,boxRaw:m.boxRaw,meshRaw:m.meshRaw,annotations:m.annotations,age:r.age,gender:a.gender,genderConfidence:a.confidence,emotion:s,embedding:i,iris:A!==0?Math.trunc(A)/100:0}),(f=m.image)==null||f.dispose(),this.analyze("End Face")}return this.analyze("End FaceMesh:"),this.config.async&&(this.perf.face&&delete this.perf.face,this.perf.age&&delete this.perf.age,this.perf.gender&&delete this.perf.gender,this.perf.emotion&&delete this.perf.emotion),o}async detect(t,n={}){return new Promise(async r=>{var d,p,f,m;this.state="config";let a;this.config=zc(this.config,n),this.state="check";let s=this.sanity(t);s&&(Te(s,t),r({error:s}));let i,o,l,c=dt();await this.checkBackend(),await this.load(),this.config.scoped&&this.tf.engine().startScope(),this.analyze("Start Scope:"),a=dt();let u=w6(t,this.config);if(!u||!u.tensor){Te("could not convert input to tensor"),r({error:"could not convert input to tensor"});return}this.perf.image=Math.trunc(dt()-a),this.analyze("Get Image:"),this.config.async?(l=this.config.face.enabled?this.detectFace(u.tensor):[],this.perf.face&&delete this.perf.face):(this.state="run:face",a=dt(),l=this.config.face.enabled?await this.detectFace(u.tensor):[],this.perf.face=Math.trunc(dt()-a)),this.analyze("Start Body:"),this.config.async?(i=this.config.body.enabled?(d=this.models.posenet)==null?void 0:d.estimatePoses(u.tensor,this.config):[],this.perf.body&&delete this.perf.body):(this.state="run:body",a=dt(),i=this.config.body.enabled?await((p=this.models.posenet)==null?void 0:p.estimatePoses(u.tensor,this.config)):[],this.perf.body=Math.trunc(dt()-a)),this.analyze("End Body:"),this.analyze("Start Hand:"),this.config.async?(o=this.config.hand.enabled?(f=this.models.handpose)==null?void 0:f.estimateHands(u.tensor,this.config):[],this.perf.hand&&delete this.perf.hand):(this.state="run:hand",a=dt(),o=this.config.hand.enabled?await((m=this.models.handpose)==null?void 0:m.estimateHands(u.tensor,this.config)):[],this.perf.hand=Math.trunc(dt()-a)),this.analyze("End Hand:"),this.config.async&&([l,i,o]=await Promise.all([l,i,o])),u.tensor.dispose(),this.config.scoped&&this.tf.engine().endScope(),this.analyze("End Scope:");let h=[];this.config.gesture.enabled&&(a=dt(),h=[...A6(l),...m6(i),...g6(o),...y6(l)],this.config.async?this.perf.gesture&&delete this.perf.gesture:this.perf.gesture=Math.trunc(dt()-a)),this.perf.total=Math.trunc(dt()-c),this.state="idle",r({face:l,body:i,hand:o,gesture:h,performance:this.perf,canvas:u.canvas})})}async warmupBitmap(){let t=(a,s="application/octet-stream")=>fetch(`data:${s};base64,${a}`).then(i=>i.blob()),n,r;switch(this.config.warmup){case"face":n=await t(f0);break;case"full":n=await t(m0);break;default:n=null}if(n){let a=await createImageBitmap(n);r=await this.detect(a,this.config),a.close()}return r}async warmupCanvas(){return new Promise(t=>{let n,r=0;switch(this.config.warmup){case"face":r=256,n="data:image/jpeg;base64,"+f0;break;case"full":r=1200,n="data:image/jpeg;base64,"+m0;break;default:n=null}let a=new Image(r,r);a.onload=()=>{let s=typeof OffscreenCanvas!="undefined"?new OffscreenCanvas(r,r):document.createElement("canvas");s.width=r,s.height=r;let i=s.getContext("2d");i==null||i.drawImage(a,0,0);let o=i==null?void 0:i.getImageData(0,0,r,r);this.detect(o,this.config).then(l=>t(l))},n?a.src=n:t(null)})}async warmupNode(){let t=i=>Buffer.from(i,"base64"),n=this.config.warmup==="face"?t(f0):t(m0),r=(void 0).decodeJpeg(n),a=r.expandDims(0);this.tf.dispose(r);let s=await this.detect(a,this.config);return this.tf.dispose(a),s}async warmup(t){let n=dt();t&&(this.config=zc(this.config,t));let r=this.config.videoOptimized;this.config.videoOptimized=!1;let a;typeof createImageBitmap=="function"?a=await this.warmupBitmap():typeof Image!="undefined"?a=await this.warmupCanvas():a=await this.warmupNode(),this.config.videoOptimized=r;let s=dt();return Te("Warmup",this.config.warmup,Math.round(s-n),"ms",a),a}};export{B6 as default}; /** * @license * Copyright 2017 Google LLC. All Rights Reserved. diff --git a/dist/human.esm.js.map b/dist/human.esm.js.map index 9a31d703..836ef717 100644 --- a/dist/human.esm.js.map +++ b/dist/human.esm.js.map @@ -1,7 +1,7 @@ { "version": 3, "sources": ["../src/blazeface/facemesh.ts", "../src/posenet/keypoints.ts", "../src/log.ts", "../node_modules/node-fetch/browser.js", "../node_modules/@tensorflow/tfjs-core/node_modules/seedrandom/lib/alea.js", "../node_modules/@tensorflow/tfjs-core/node_modules/seedrandom/lib/xor128.js", "../node_modules/@tensorflow/tfjs-core/node_modules/seedrandom/lib/xorwow.js", "../node_modules/@tensorflow/tfjs-core/node_modules/seedrandom/lib/xorshift7.js", "../node_modules/@tensorflow/tfjs-core/node_modules/seedrandom/lib/xor4096.js", "../node_modules/@tensorflow/tfjs-core/node_modules/seedrandom/lib/tychei.js", "(disabled):crypto", "../node_modules/@tensorflow/tfjs-core/node_modules/seedrandom/seedrandom.js", "../node_modules/@tensorflow/tfjs-core/node_modules/seedrandom/index.js", "../node_modules/@tensorflow/tfjs-backend-cpu/node_modules/seedrandom/lib/alea.js", "../node_modules/@tensorflow/tfjs-backend-cpu/node_modules/seedrandom/lib/xor128.js", "../node_modules/@tensorflow/tfjs-backend-cpu/node_modules/seedrandom/lib/xorwow.js", "../node_modules/@tensorflow/tfjs-backend-cpu/node_modules/seedrandom/lib/xorshift7.js", "../node_modules/@tensorflow/tfjs-backend-cpu/node_modules/seedrandom/lib/xor4096.js", "../node_modules/@tensorflow/tfjs-backend-cpu/node_modules/seedrandom/lib/tychei.js", "../node_modules/@tensorflow/tfjs-backend-cpu/node_modules/seedrandom/seedrandom.js", "../node_modules/@tensorflow/tfjs-backend-cpu/node_modules/seedrandom/index.js", "(disabled):path", "(disabled):worker_threads", "(disabled):perf_hooks", "../node_modules/@tensorflow/tfjs-backend-wasm/wasm-out/tfjs-backend-wasm-threaded-simd.js", "../node_modules/@tensorflow/tfjs-backend-wasm/wasm-out/tfjs-backend-wasm.js", "../node_modules/seedrandom/lib/alea.js", "../node_modules/seedrandom/lib/xor128.js", "../node_modules/seedrandom/lib/xorwow.js", "../node_modules/seedrandom/lib/xorshift7.js", "../node_modules/seedrandom/lib/xor4096.js", "../node_modules/seedrandom/lib/tychei.js", "../node_modules/seedrandom/seedrandom.js", "../node_modules/seedrandom/index.js", "../node_modules/string_decoder/lib/string_decoder.js", "../node_modules/@tensorflow/tfjs-core/src/backends/backend.ts", "../node_modules/@tensorflow/tfjs-core/src/util_base.ts", "../node_modules/@tensorflow/tfjs-core/src/environment.ts", "../node_modules/@tensorflow/tfjs-core/src/global_util.ts", "../node_modules/@tensorflow/tfjs-core/src/kernel_names.ts", "../node_modules/@tensorflow/tfjs-core/src/kernel_registry.ts", "../node_modules/@tensorflow/tfjs-core/src/util.ts", "../node_modules/@tensorflow/tfjs-core/src/profiler.ts", "../node_modules/@tensorflow/tfjs-core/src/tape.ts", "../node_modules/@tensorflow/tfjs-core/src/tensor_format.ts", "../node_modules/@tensorflow/tfjs-core/src/tensor.ts", "../node_modules/@tensorflow/tfjs-core/src/tensor_util.ts", "../node_modules/@tensorflow/tfjs-core/src/types.ts", "../node_modules/@tensorflow/tfjs-core/src/engine.ts", "../node_modules/@tensorflow/tfjs-core/src/device_util.ts", "../node_modules/@tensorflow/tfjs-core/src/flags.ts", "../node_modules/@tensorflow/tfjs-core/src/tensor_util_env.ts", "../node_modules/@tensorflow/tfjs-core/src/ops/operation.ts", "../node_modules/@tensorflow/tfjs-core/src/ops/complex.ts", "../node_modules/@tensorflow/tfjs-core/src/ops/tensor_ops_util.ts", "../node_modules/@tensorflow/tfjs-core/src/ops/tensor.ts", "../node_modules/@tensorflow/tfjs-core/src/io/types.ts", "../node_modules/@tensorflow/tfjs-core/src/io/io_utils.ts", "../node_modules/@tensorflow/tfjs-core/src/io/router_registry.ts", "../node_modules/@tensorflow/tfjs-core/src/io/indexed_db.ts", "../node_modules/@tensorflow/tfjs-core/src/io/local_storage.ts", "../node_modules/@tensorflow/tfjs-core/src/io/model_management.ts", "../node_modules/@tensorflow/tfjs-core/src/platforms/platform_browser.ts", "../node_modules/@tensorflow/tfjs-core/src/platforms/platform_node.ts", "../node_modules/@tensorflow/tfjs-core/src/ops/buffer.ts", "../node_modules/@tensorflow/tfjs-core/src/ops/cast.ts", "../node_modules/@tensorflow/tfjs-core/src/ops/clone.ts", "../node_modules/@tensorflow/tfjs-core/src/ops/print.ts", "../node_modules/@tensorflow/tfjs-core/src/base_side_effects.ts", "../node_modules/@tensorflow/tfjs-core/src/io/io.ts", "../node_modules/@tensorflow/tfjs-core/src/io/browser_files.ts", "../node_modules/@tensorflow/tfjs-core/src/io/progress.ts", "../node_modules/@tensorflow/tfjs-core/src/io/weights_loader.ts", "../node_modules/@tensorflow/tfjs-core/src/io/http.ts", "../node_modules/@tensorflow/tfjs-core/src/io/passthrough.ts", "../node_modules/@tensorflow/tfjs-core/src/math.ts", "../node_modules/@tensorflow/tfjs-core/src/ops/mat_mul.ts", "../node_modules/@tensorflow/tfjs-core/src/ops/one_hot.ts", "../node_modules/@tensorflow/tfjs-core/src/ops/transpose.ts", "../node_modules/@tensorflow/tfjs-core/src/ops/confusion_matrix.ts", "../node_modules/@tensorflow/tfjs-core/src/ops/browser.ts", "../node_modules/@tensorflow/tfjs-core/src/ops/tensor3d.ts", "../node_modules/@tensorflow/tfjs-core/src/ops/gather_nd_util.ts", "../node_modules/@tensorflow/tfjs-core/src/ops/scatter_nd_util.ts", "../node_modules/@tensorflow/tfjs-core/src/ops/slice_util.ts", "../node_modules/@tensorflow/tfjs-core/src/serialization.ts", "../node_modules/@tensorflow/tfjs-core/src/test_util.ts", "../node_modules/@tensorflow/tfjs-core/src/version.ts", "../node_modules/@tensorflow/tfjs-core/src/globals.ts", "../node_modules/@tensorflow/tfjs-core/src/ops/add.ts", "../node_modules/@tensorflow/tfjs-core/src/ops/floorDiv.ts", "../node_modules/@tensorflow/tfjs-core/src/ops/div.ts", "../node_modules/@tensorflow/tfjs-core/src/ops/mul.ts", 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"../node_modules/@tensorflow/tfjs-data/src/sources/url_data_source.ts", "../node_modules/@tensorflow/tfjs-data/src/readers.ts", "../node_modules/@tensorflow/tfjs-data/src/version.ts", "../src/tfjs/tf-browser.ts", "../src/tfjs/backend.ts", "../src/blazeface/blazeface.ts", "../src/blazeface/box.ts", "../src/blazeface/util.ts", "../src/blazeface/coords.ts", "../src/blazeface/facepipeline.ts", "../src/human.ts", "../src/faceboxes/faceboxes.ts", "../src/profile.ts", "../src/age/age.ts", "../src/gender/gender.ts", "../src/emotion/emotion.ts", "../src/embedding/embedding.ts", "../src/posenet/posenet.ts", "../src/posenet/modelBase.ts", "../src/posenet/heapSort.ts", "../src/posenet/buildParts.ts", "../src/posenet/decodePose.ts", "../src/posenet/vectors.ts", "../src/posenet/decoders.ts", "../src/posenet/decodeMultiple.ts", "../src/posenet/util.ts", "../src/handpose/handpose.ts", "../src/handpose/box.ts", "../src/handpose/handdetector.ts", "../src/handpose/util.ts", "../src/handpose/handpipeline.ts", "../src/handpose/anchors.ts", "../src/gesture/gesture.ts", "../src/imagefx.js", "../src/image.ts", "../config.js", "../src/sample.ts"], - "sourcesContent": ["import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as blazeface from './blazeface';\nimport * as facepipeline from './facepipeline';\nimport * as coords from './coords';\n\nexport class MediaPipeFaceMesh {\n facePipeline: any;\n config: any;\n\n constructor(blazeFace, blazeMeshModel, irisModel, config) {\n this.facePipeline = new facepipeline.Pipeline(blazeFace, blazeMeshModel, irisModel, config);\n this.config = config;\n }\n\n async estimateFaces(input, config) {\n const predictions = await this.facePipeline.predict(input, config);\n const results: Array<{}> = [];\n for (const prediction of (predictions || [])) {\n if (prediction.isDisposedInternal) continue; // guard against disposed tensors on long running operations such as pause in middle of processing\n const mesh = prediction.coords ? prediction.coords.arraySync() : null;\n const meshRaw = prediction.rawCoords;\n const annotations = {};\n if (mesh && mesh.length > 0) {\n for (const key of Object.keys(coords.MESH_ANNOTATIONS)) {\n annotations[key] = coords.MESH_ANNOTATIONS[key].map((index) => mesh[index]);\n }\n }\n const boxRaw = (config.face.mesh.returnRawData && prediction.box) ? { topLeft: prediction.box.startPoint, bottomRight: prediction.box.endPoint } : null;\n const box = prediction.box ? [\n Math.max(0, prediction.box.startPoint[0]),\n Math.max(0, prediction.box.startPoint[1]),\n Math.min(input.shape[2], prediction.box.endPoint[0]) - prediction.box.startPoint[0],\n Math.min(input.shape[1], prediction.box.endPoint[1]) - prediction.box.startPoint[1],\n ] : 0;\n results.push({ confidence: prediction.confidence || 0, box, mesh, boxRaw, meshRaw, annotations, image: prediction.image ? tf.clone(prediction.image) : null });\n if (prediction.coords) prediction.coords.dispose();\n if (prediction.image) prediction.image.dispose();\n }\n return results;\n }\n}\n\nlet faceModels = [null, null, null];\nexport async function load(config) {\n // @ts-ignore\n faceModels = await Promise.all([\n (!faceModels[0] && config.face.enabled) ? blazeface.load(config) : null,\n (!faceModels[1] && config.face.mesh.enabled) ? tf.loadGraphModel(config.face.mesh.modelPath, { fromTFHub: config.face.mesh.modelPath.includes('tfhub.dev') }) : null,\n (!faceModels[2] && config.face.iris.enabled) ? tf.loadGraphModel(config.face.iris.modelPath, { fromTFHub: config.face.iris.modelPath.includes('tfhub.dev') }) : null,\n ]);\n const faceMesh = new MediaPipeFaceMesh(faceModels[0], faceModels[1], faceModels[2], config);\n if (config.face.mesh.enabled) log(`load model: ${config.face.mesh.modelPath.match(/\\/(.*)\\./)[1]}`);\n if (config.face.iris.enabled) log(`load model: ${config.face.iris.modelPath.match(/\\/(.*)\\./)[1]}`);\n return faceMesh;\n}\n\nexports.triangulation = coords.TRI468;\n", "export const partNames = [\n 'nose', 'leftEye', 'rightEye', 'leftEar', 'rightEar', 'leftShoulder',\n 'rightShoulder', 'leftElbow', 'rightElbow', 'leftWrist', 'rightWrist',\n 'leftHip', 'rightHip', 'leftKnee', 'rightKnee', 'leftAnkle', 'rightAnkle',\n];\n\nexport const NUM_KEYPOINTS = exports.partNames.length;\n\nexport const partIds = exports.partNames.reduce((result, jointName, i) => {\n result[jointName] = i;\n return result;\n}, {});\n\nconst connectedPartNames = [\n ['leftHip', 'leftShoulder'], ['leftElbow', 'leftShoulder'],\n ['leftElbow', 'leftWrist'], ['leftHip', 'leftKnee'],\n ['leftKnee', 'leftAnkle'], ['rightHip', 'rightShoulder'],\n ['rightElbow', 'rightShoulder'], ['rightElbow', 'rightWrist'],\n ['rightHip', 'rightKnee'], ['rightKnee', 'rightAnkle'],\n ['leftShoulder', 'rightShoulder'], ['leftHip', 'rightHip'],\n];\nexport const connectedPartIndices = connectedPartNames.map(([jointNameA, jointNameB]) => ([partIds[jointNameA], partIds[jointNameB]]));\n\nexport const poseChain = [\n ['nose', 'leftEye'], ['leftEye', 'leftEar'], ['nose', 'rightEye'],\n ['rightEye', 'rightEar'], ['nose', 'leftShoulder'],\n ['leftShoulder', 'leftElbow'], ['leftElbow', 'leftWrist'],\n ['leftShoulder', 'leftHip'], ['leftHip', 'leftKnee'],\n ['leftKnee', 'leftAnkle'], ['nose', 'rightShoulder'],\n ['rightShoulder', 'rightElbow'], ['rightElbow', 'rightWrist'],\n ['rightShoulder', 'rightHip'], ['rightHip', 'rightKnee'],\n ['rightKnee', 'rightAnkle'],\n];\n\nexport const partChannels = [\n 'left_face',\n 'right_face',\n 'right_upper_leg_front',\n 'right_lower_leg_back',\n 'right_upper_leg_back',\n 'left_lower_leg_front',\n 'left_upper_leg_front',\n 'left_upper_leg_back',\n 'left_lower_leg_back',\n 'right_feet',\n 'right_lower_leg_front',\n 'left_feet',\n 'torso_front',\n 'torso_back',\n 'right_upper_arm_front',\n 'right_upper_arm_back',\n 'right_lower_arm_back',\n 'left_lower_arm_front',\n 'left_upper_arm_front',\n 'left_upper_arm_back',\n 'left_lower_arm_back',\n 'right_hand',\n 'right_lower_arm_front',\n 'left_hand',\n];\n", "// helper function: wrapper around console output\nexport function log(...msg) {\n const dt = new Date();\n const ts = `${dt.getHours().toString().padStart(2, '0')}:${dt.getMinutes().toString().padStart(2, '0')}:${dt.getSeconds().toString().padStart(2, '0')}.${dt.getMilliseconds().toString().padStart(3, '0')}`;\n // eslint-disable-next-line no-console\n if (msg) console.log(ts, 'Human:', ...msg);\n}\n", "", "// A port of an algorithm by Johannes Baag\u00F8e , 2010\n// http://baagoe.com/en/RandomMusings/javascript/\n// https://github.com/nquinlan/better-random-numbers-for-javascript-mirror\n// Original work is under MIT license -\n\n// Copyright (C) 2010 by Johannes Baag\u00F8e \n//\n// Permission is hereby granted, free of charge, to any person obtaining a copy\n// of this software and associated documentation files (the \"Software\"), to deal\n// in the Software without restriction, including without limitation the rights\n// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell\n// copies of the Software, and to permit persons to whom the Software is\n// furnished to do so, subject to the following conditions:\n// \n// The above copyright notice and this permission notice shall be included in\n// all copies or substantial portions of the Software.\n// \n// THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\n// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\n// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN\n// THE SOFTWARE.\n\n\n\n(function(global, module, define) {\n\nfunction Alea(seed) {\n var me = this, mash = Mash();\n\n me.next = function() {\n var t = 2091639 * me.s0 + me.c * 2.3283064365386963e-10; // 2^-32\n me.s0 = me.s1;\n me.s1 = me.s2;\n return me.s2 = t - (me.c = t | 0);\n };\n\n // Apply the seeding algorithm from Baagoe.\n me.c = 1;\n me.s0 = mash(' ');\n me.s1 = mash(' ');\n me.s2 = mash(' ');\n me.s0 -= mash(seed);\n if (me.s0 < 0) { me.s0 += 1; }\n me.s1 -= mash(seed);\n if (me.s1 < 0) { me.s1 += 1; }\n me.s2 -= mash(seed);\n if (me.s2 < 0) { me.s2 += 1; }\n mash = null;\n}\n\nfunction copy(f, t) {\n t.c = f.c;\n t.s0 = f.s0;\n t.s1 = f.s1;\n t.s2 = f.s2;\n return t;\n}\n\nfunction impl(seed, opts) {\n var xg = new Alea(seed),\n state = opts && opts.state,\n prng = xg.next;\n prng.int32 = function() { return (xg.next() * 0x100000000) | 0; }\n prng.double = function() {\n return prng() + (prng() * 0x200000 | 0) * 1.1102230246251565e-16; // 2^-53\n };\n prng.quick = prng;\n if (state) {\n if (typeof(state) == 'object') copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nfunction Mash() {\n var n = 0xefc8249d;\n\n var mash = function(data) {\n data = data.toString();\n for (var i = 0; i < data.length; i++) {\n n += data.charCodeAt(i);\n var h = 0.02519603282416938 * n;\n n = h >>> 0;\n h -= n;\n h *= n;\n n = h >>> 0;\n h -= n;\n n += h * 0x100000000; // 2^32\n }\n return (n >>> 0) * 2.3283064365386963e-10; // 2^-32\n };\n\n return mash;\n}\n\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.alea = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n\n", "// A Javascript implementaion of the \"xor128\" prng algorithm by\n// George Marsaglia. See http://www.jstatsoft.org/v08/i14/paper\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this, strseed = '';\n\n me.x = 0;\n me.y = 0;\n me.z = 0;\n me.w = 0;\n\n // Set up generator function.\n me.next = function() {\n var t = me.x ^ (me.x << 11);\n me.x = me.y;\n me.y = me.z;\n me.z = me.w;\n return me.w ^= (me.w >>> 19) ^ t ^ (t >>> 8);\n };\n\n if (seed === (seed | 0)) {\n // Integer seed.\n me.x = seed;\n } else {\n // String seed.\n strseed += seed;\n }\n\n // Mix in string seed, then discard an initial batch of 64 values.\n for (var k = 0; k < strseed.length + 64; k++) {\n me.x ^= strseed.charCodeAt(k) | 0;\n me.next();\n }\n}\n\nfunction copy(f, t) {\n t.x = f.x;\n t.y = f.y;\n t.z = f.z;\n t.w = f.w;\n return t;\n}\n\nfunction impl(seed, opts) {\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (typeof(state) == 'object') copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.xor128 = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n\n", "// A Javascript implementaion of the \"xorwow\" prng algorithm by\n// George Marsaglia. See http://www.jstatsoft.org/v08/i14/paper\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this, strseed = '';\n\n // Set up generator function.\n me.next = function() {\n var t = (me.x ^ (me.x >>> 2));\n me.x = me.y; me.y = me.z; me.z = me.w; me.w = me.v;\n return (me.d = (me.d + 362437 | 0)) +\n (me.v = (me.v ^ (me.v << 4)) ^ (t ^ (t << 1))) | 0;\n };\n\n me.x = 0;\n me.y = 0;\n me.z = 0;\n me.w = 0;\n me.v = 0;\n\n if (seed === (seed | 0)) {\n // Integer seed.\n me.x = seed;\n } else {\n // String seed.\n strseed += seed;\n }\n\n // Mix in string seed, then discard an initial batch of 64 values.\n for (var k = 0; k < strseed.length + 64; k++) {\n me.x ^= strseed.charCodeAt(k) | 0;\n if (k == strseed.length) {\n me.d = me.x << 10 ^ me.x >>> 4;\n }\n me.next();\n }\n}\n\nfunction copy(f, t) {\n t.x = f.x;\n t.y = f.y;\n t.z = f.z;\n t.w = f.w;\n t.v = f.v;\n t.d = f.d;\n return t;\n}\n\nfunction impl(seed, opts) {\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (typeof(state) == 'object') copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.xorwow = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n\n", "// A Javascript implementaion of the \"xorshift7\" algorithm by\n// Fran\u00E7ois Panneton and Pierre L'ecuyer:\n// \"On the Xorgshift Random Number Generators\"\n// http://saluc.engr.uconn.edu/refs/crypto/rng/panneton05onthexorshift.pdf\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this;\n\n // Set up generator function.\n me.next = function() {\n // Update xor generator.\n var X = me.x, i = me.i, t, v, w;\n t = X[i]; t ^= (t >>> 7); v = t ^ (t << 24);\n t = X[(i + 1) & 7]; v ^= t ^ (t >>> 10);\n t = X[(i + 3) & 7]; v ^= t ^ (t >>> 3);\n t = X[(i + 4) & 7]; v ^= t ^ (t << 7);\n t = X[(i + 7) & 7]; t = t ^ (t << 13); v ^= t ^ (t << 9);\n X[i] = v;\n me.i = (i + 1) & 7;\n return v;\n };\n\n function init(me, seed) {\n var j, w, X = [];\n\n if (seed === (seed | 0)) {\n // Seed state array using a 32-bit integer.\n w = X[0] = seed;\n } else {\n // Seed state using a string.\n seed = '' + seed;\n for (j = 0; j < seed.length; ++j) {\n X[j & 7] = (X[j & 7] << 15) ^\n (seed.charCodeAt(j) + X[(j + 1) & 7] << 13);\n }\n }\n // Enforce an array length of 8, not all zeroes.\n while (X.length < 8) X.push(0);\n for (j = 0; j < 8 && X[j] === 0; ++j);\n if (j == 8) w = X[7] = -1; else w = X[j];\n\n me.x = X;\n me.i = 0;\n\n // Discard an initial 256 values.\n for (j = 256; j > 0; --j) {\n me.next();\n }\n }\n\n init(me, seed);\n}\n\nfunction copy(f, t) {\n t.x = f.x.slice();\n t.i = f.i;\n return t;\n}\n\nfunction impl(seed, opts) {\n if (seed == null) seed = +(new Date);\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (state.x) copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.xorshift7 = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n", "// A Javascript implementaion of Richard Brent's Xorgens xor4096 algorithm.\n//\n// This fast non-cryptographic random number generator is designed for\n// use in Monte-Carlo algorithms. It combines a long-period xorshift\n// generator with a Weyl generator, and it passes all common batteries\n// of stasticial tests for randomness while consuming only a few nanoseconds\n// for each prng generated. For background on the generator, see Brent's\n// paper: \"Some long-period random number generators using shifts and xors.\"\n// http://arxiv.org/pdf/1004.3115v1.pdf\n//\n// Usage:\n//\n// var xor4096 = require('xor4096');\n// random = xor4096(1); // Seed with int32 or string.\n// assert.equal(random(), 0.1520436450538547); // (0, 1) range, 53 bits.\n// assert.equal(random.int32(), 1806534897); // signed int32, 32 bits.\n//\n// For nonzero numeric keys, this impelementation provides a sequence\n// identical to that by Brent's xorgens 3 implementaion in C. This\n// implementation also provides for initalizing the generator with\n// string seeds, or for saving and restoring the state of the generator.\n//\n// On Chrome, this prng benchmarks about 2.1 times slower than\n// Javascript's built-in Math.random().\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this;\n\n // Set up generator function.\n me.next = function() {\n var w = me.w,\n X = me.X, i = me.i, t, v;\n // Update Weyl generator.\n me.w = w = (w + 0x61c88647) | 0;\n // Update xor generator.\n v = X[(i + 34) & 127];\n t = X[i = ((i + 1) & 127)];\n v ^= v << 13;\n t ^= t << 17;\n v ^= v >>> 15;\n t ^= t >>> 12;\n // Update Xor generator array state.\n v = X[i] = v ^ t;\n me.i = i;\n // Result is the combination.\n return (v + (w ^ (w >>> 16))) | 0;\n };\n\n function init(me, seed) {\n var t, v, i, j, w, X = [], limit = 128;\n if (seed === (seed | 0)) {\n // Numeric seeds initialize v, which is used to generates X.\n v = seed;\n seed = null;\n } else {\n // String seeds are mixed into v and X one character at a time.\n seed = seed + '\\0';\n v = 0;\n limit = Math.max(limit, seed.length);\n }\n // Initialize circular array and weyl value.\n for (i = 0, j = -32; j < limit; ++j) {\n // Put the unicode characters into the array, and shuffle them.\n if (seed) v ^= seed.charCodeAt((j + 32) % seed.length);\n // After 32 shuffles, take v as the starting w value.\n if (j === 0) w = v;\n v ^= v << 10;\n v ^= v >>> 15;\n v ^= v << 4;\n v ^= v >>> 13;\n if (j >= 0) {\n w = (w + 0x61c88647) | 0; // Weyl.\n t = (X[j & 127] ^= (v + w)); // Combine xor and weyl to init array.\n i = (0 == t) ? i + 1 : 0; // Count zeroes.\n }\n }\n // We have detected all zeroes; make the key nonzero.\n if (i >= 128) {\n X[(seed && seed.length || 0) & 127] = -1;\n }\n // Run the generator 512 times to further mix the state before using it.\n // Factoring this as a function slows the main generator, so it is just\n // unrolled here. The weyl generator is not advanced while warming up.\n i = 127;\n for (j = 4 * 128; j > 0; --j) {\n v = X[(i + 34) & 127];\n t = X[i = ((i + 1) & 127)];\n v ^= v << 13;\n t ^= t << 17;\n v ^= v >>> 15;\n t ^= t >>> 12;\n X[i] = v ^ t;\n }\n // Storing state as object members is faster than using closure variables.\n me.w = w;\n me.X = X;\n me.i = i;\n }\n\n init(me, seed);\n}\n\nfunction copy(f, t) {\n t.i = f.i;\n t.w = f.w;\n t.X = f.X.slice();\n return t;\n};\n\nfunction impl(seed, opts) {\n if (seed == null) seed = +(new Date);\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (state.X) copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.xor4096 = impl;\n}\n\n})(\n this, // window object or global\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n", "// A Javascript implementaion of the \"Tyche-i\" prng algorithm by\n// Samuel Neves and Filipe Araujo.\n// See https://eden.dei.uc.pt/~sneves/pubs/2011-snfa2.pdf\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this, strseed = '';\n\n // Set up generator function.\n me.next = function() {\n var b = me.b, c = me.c, d = me.d, a = me.a;\n b = (b << 25) ^ (b >>> 7) ^ c;\n c = (c - d) | 0;\n d = (d << 24) ^ (d >>> 8) ^ a;\n a = (a - b) | 0;\n me.b = b = (b << 20) ^ (b >>> 12) ^ c;\n me.c = c = (c - d) | 0;\n me.d = (d << 16) ^ (c >>> 16) ^ a;\n return me.a = (a - b) | 0;\n };\n\n /* The following is non-inverted tyche, which has better internal\n * bit diffusion, but which is about 25% slower than tyche-i in JS.\n me.next = function() {\n var a = me.a, b = me.b, c = me.c, d = me.d;\n a = (me.a + me.b | 0) >>> 0;\n d = me.d ^ a; d = d << 16 ^ d >>> 16;\n c = me.c + d | 0;\n b = me.b ^ c; b = b << 12 ^ d >>> 20;\n me.a = a = a + b | 0;\n d = d ^ a; me.d = d = d << 8 ^ d >>> 24;\n me.c = c = c + d | 0;\n b = b ^ c;\n return me.b = (b << 7 ^ b >>> 25);\n }\n */\n\n me.a = 0;\n me.b = 0;\n me.c = 2654435769 | 0;\n me.d = 1367130551;\n\n if (seed === Math.floor(seed)) {\n // Integer seed.\n me.a = (seed / 0x100000000) | 0;\n me.b = seed | 0;\n } else {\n // String seed.\n strseed += seed;\n }\n\n // Mix in string seed, then discard an initial batch of 64 values.\n for (var k = 0; k < strseed.length + 20; k++) {\n me.b ^= strseed.charCodeAt(k) | 0;\n me.next();\n }\n}\n\nfunction copy(f, t) {\n t.a = f.a;\n t.b = f.b;\n t.c = f.c;\n t.d = f.d;\n return t;\n};\n\nfunction impl(seed, opts) {\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (typeof(state) == 'object') copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.tychei = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n\n", "", "/*\nCopyright 2014 David Bau.\n\nPermission is hereby granted, free of charge, to any person obtaining\na copy of this software and associated documentation files (the\n\"Software\"), to deal in the Software without restriction, including\nwithout limitation the rights to use, copy, modify, merge, publish,\ndistribute, sublicense, and/or sell copies of the Software, and to\npermit persons to whom the Software is furnished to do so, subject to\nthe following conditions:\n\nThe above copyright notice and this permission notice shall be\nincluded in all copies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND,\nEXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF\nMERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.\nIN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY\nCLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,\nTORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE\nSOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.\n\n*/\n\n(function (pool, math) {\n//\n// The following constants are related to IEEE 754 limits.\n//\nvar global = this,\n width = 256, // each RC4 output is 0 <= x < 256\n chunks = 6, // at least six RC4 outputs for each double\n digits = 52, // there are 52 significant digits in a double\n rngname = 'random', // rngname: name for Math.random and Math.seedrandom\n startdenom = math.pow(width, chunks),\n significance = math.pow(2, digits),\n overflow = significance * 2,\n mask = width - 1,\n nodecrypto; // node.js crypto module, initialized at the bottom.\n\n//\n// seedrandom()\n// This is the seedrandom function described above.\n//\nfunction seedrandom(seed, options, callback) {\n var key = [];\n options = (options == true) ? { entropy: true } : (options || {});\n\n // Flatten the seed string or build one from local entropy if needed.\n var shortseed = mixkey(flatten(\n options.entropy ? [seed, tostring(pool)] :\n (seed == null) ? autoseed() : seed, 3), key);\n\n // Use the seed to initialize an ARC4 generator.\n var arc4 = new ARC4(key);\n\n // This function returns a random double in [0, 1) that contains\n // randomness in every bit of the mantissa of the IEEE 754 value.\n var prng = function() {\n var n = arc4.g(chunks), // Start with a numerator n < 2 ^ 48\n d = startdenom, // and denominator d = 2 ^ 48.\n x = 0; // and no 'extra last byte'.\n while (n < significance) { // Fill up all significant digits by\n n = (n + x) * width; // shifting numerator and\n d *= width; // denominator and generating a\n x = arc4.g(1); // new least-significant-byte.\n }\n while (n >= overflow) { // To avoid rounding up, before adding\n n /= 2; // last byte, shift everything\n d /= 2; // right using integer math until\n x >>>= 1; // we have exactly the desired bits.\n }\n return (n + x) / d; // Form the number within [0, 1).\n };\n\n prng.int32 = function() { return arc4.g(4) | 0; }\n prng.quick = function() { return arc4.g(4) / 0x100000000; }\n prng.double = prng;\n\n // Mix the randomness into accumulated entropy.\n mixkey(tostring(arc4.S), pool);\n\n // Calling convention: what to return as a function of prng, seed, is_math.\n return (options.pass || callback ||\n function(prng, seed, is_math_call, state) {\n if (state) {\n // Load the arc4 state from the given state if it has an S array.\n if (state.S) { copy(state, arc4); }\n // Only provide the .state method if requested via options.state.\n prng.state = function() { return copy(arc4, {}); }\n }\n\n // If called as a method of Math (Math.seedrandom()), mutate\n // Math.random because that is how seedrandom.js has worked since v1.0.\n if (is_math_call) { math[rngname] = prng; return seed; }\n\n // Otherwise, it is a newer calling convention, so return the\n // prng directly.\n else return prng;\n })(\n prng,\n shortseed,\n 'global' in options ? options.global : (this == math),\n options.state);\n}\nmath['seed' + rngname] = seedrandom;\n\n//\n// ARC4\n//\n// An ARC4 implementation. The constructor takes a key in the form of\n// an array of at most (width) integers that should be 0 <= x < (width).\n//\n// The g(count) method returns a pseudorandom integer that concatenates\n// the next (count) outputs from ARC4. Its return value is a number x\n// that is in the range 0 <= x < (width ^ count).\n//\nfunction ARC4(key) {\n var t, keylen = key.length,\n me = this, i = 0, j = me.i = me.j = 0, s = me.S = [];\n\n // The empty key [] is treated as [0].\n if (!keylen) { key = [keylen++]; }\n\n // Set up S using the standard key scheduling algorithm.\n while (i < width) {\n s[i] = i++;\n }\n for (i = 0; i < width; i++) {\n s[i] = s[j = mask & (j + key[i % keylen] + (t = s[i]))];\n s[j] = t;\n }\n\n // The \"g\" method returns the next (count) outputs as one number.\n (me.g = function(count) {\n // Using instance members instead of closure state nearly doubles speed.\n var t, r = 0,\n i = me.i, j = me.j, s = me.S;\n while (count--) {\n t = s[i = mask & (i + 1)];\n r = r * width + s[mask & ((s[i] = s[j = mask & (j + t)]) + (s[j] = t))];\n }\n me.i = i; me.j = j;\n return r;\n // For robust unpredictability, the function call below automatically\n // discards an initial batch of values. This is called RC4-drop[256].\n // See http://google.com/search?q=rsa+fluhrer+response&btnI\n })(width);\n}\n\n//\n// copy()\n// Copies internal state of ARC4 to or from a plain object.\n//\nfunction copy(f, t) {\n t.i = f.i;\n t.j = f.j;\n t.S = f.S.slice();\n return t;\n};\n\n//\n// flatten()\n// Converts an object tree to nested arrays of strings.\n//\nfunction flatten(obj, depth) {\n var result = [], typ = (typeof obj), prop;\n if (depth && typ == 'object') {\n for (prop in obj) {\n try { result.push(flatten(obj[prop], depth - 1)); } catch (e) {}\n }\n }\n return (result.length ? result : typ == 'string' ? obj : obj + '\\0');\n}\n\n//\n// mixkey()\n// Mixes a string seed into a key that is an array of integers, and\n// returns a shortened string seed that is equivalent to the result key.\n//\nfunction mixkey(seed, key) {\n var stringseed = seed + '', smear, j = 0;\n while (j < stringseed.length) {\n key[mask & j] =\n mask & ((smear ^= key[mask & j] * 19) + stringseed.charCodeAt(j++));\n }\n return tostring(key);\n}\n\n//\n// autoseed()\n// Returns an object for autoseeding, using window.crypto and Node crypto\n// module if available.\n//\nfunction autoseed() {\n try {\n var out;\n if (nodecrypto && (out = nodecrypto.randomBytes)) {\n // The use of 'out' to remember randomBytes makes tight minified code.\n out = out(width);\n } else {\n out = new Uint8Array(width);\n (global.crypto || global.msCrypto).getRandomValues(out);\n }\n return tostring(out);\n } catch (e) {\n var browser = global.navigator,\n plugins = browser && browser.plugins;\n return [+new Date, global, plugins, global.screen, tostring(pool)];\n }\n}\n\n//\n// tostring()\n// Converts an array of charcodes to a string\n//\nfunction tostring(a) {\n return String.fromCharCode.apply(0, a);\n}\n\n//\n// When seedrandom.js is loaded, we immediately mix a few bits\n// from the built-in RNG into the entropy pool. Because we do\n// not want to interfere with deterministic PRNG state later,\n// seedrandom will not call math.random on its own again after\n// initialization.\n//\nmixkey(math.random(), pool);\n\n//\n// Nodejs and AMD support: export the implementation as a module using\n// either convention.\n//\nif ((typeof module) == 'object' && module.exports) {\n module.exports = seedrandom;\n // When in node.js, try using crypto package for autoseeding.\n try {\n nodecrypto = require('crypto');\n } catch (ex) {}\n} else if ((typeof define) == 'function' && define.amd) {\n define(function() { return seedrandom; });\n}\n\n// End anonymous scope, and pass initial values.\n})(\n [], // pool: entropy pool starts empty\n Math // math: package containing random, pow, and seedrandom\n);\n", "// A library of seedable RNGs implemented in Javascript.\n//\n// Usage:\n//\n// var seedrandom = require('seedrandom');\n// var random = seedrandom(1); // or any seed.\n// var x = random(); // 0 <= x < 1. Every bit is random.\n// var x = random.quick(); // 0 <= x < 1. 32 bits of randomness.\n\n// alea, a 53-bit multiply-with-carry generator by Johannes Baag\u00F8e.\n// Period: ~2^116\n// Reported to pass all BigCrush tests.\nvar alea = require('./lib/alea');\n\n// xor128, a pure xor-shift generator by George Marsaglia.\n// Period: 2^128-1.\n// Reported to fail: MatrixRank and LinearComp.\nvar xor128 = require('./lib/xor128');\n\n// xorwow, George Marsaglia's 160-bit xor-shift combined plus weyl.\n// Period: 2^192-2^32\n// Reported to fail: CollisionOver, SimpPoker, and LinearComp.\nvar xorwow = require('./lib/xorwow');\n\n// xorshift7, by Fran\u00E7ois Panneton and Pierre L'ecuyer, takes\n// a different approach: it adds robustness by allowing more shifts\n// than Marsaglia's original three. It is a 7-shift generator\n// with 256 bits, that passes BigCrush with no systmatic failures.\n// Period 2^256-1.\n// No systematic BigCrush failures reported.\nvar xorshift7 = require('./lib/xorshift7');\n\n// xor4096, by Richard Brent, is a 4096-bit xor-shift with a\n// very long period that also adds a Weyl generator. It also passes\n// BigCrush with no systematic failures. Its long period may\n// be useful if you have many generators and need to avoid\n// collisions.\n// Period: 2^4128-2^32.\n// No systematic BigCrush failures reported.\nvar xor4096 = require('./lib/xor4096');\n\n// Tyche-i, by Samuel Neves and Filipe Araujo, is a bit-shifting random\n// number generator derived from ChaCha, a modern stream cipher.\n// https://eden.dei.uc.pt/~sneves/pubs/2011-snfa2.pdf\n// Period: ~2^127\n// No systematic BigCrush failures reported.\nvar tychei = require('./lib/tychei');\n\n// The original ARC4-based prng included in this library.\n// Period: ~2^1600\nvar sr = require('./seedrandom');\n\nsr.alea = alea;\nsr.xor128 = xor128;\nsr.xorwow = xorwow;\nsr.xorshift7 = xorshift7;\nsr.xor4096 = xor4096;\nsr.tychei = tychei;\n\nmodule.exports = sr;\n", "// A port of an algorithm by Johannes Baag\u00F8e , 2010\n// http://baagoe.com/en/RandomMusings/javascript/\n// https://github.com/nquinlan/better-random-numbers-for-javascript-mirror\n// Original work is under MIT license -\n\n// Copyright (C) 2010 by Johannes Baag\u00F8e \n//\n// Permission is hereby granted, free of charge, to any person obtaining a copy\n// of this software and associated documentation files (the \"Software\"), to deal\n// in the Software without restriction, including without limitation the rights\n// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell\n// copies of the Software, and to permit persons to whom the Software is\n// furnished to do so, subject to the following conditions:\n// \n// The above copyright notice and this permission notice shall be included in\n// all copies or substantial portions of the Software.\n// \n// THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\n// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\n// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN\n// THE SOFTWARE.\n\n\n\n(function(global, module, define) {\n\nfunction Alea(seed) {\n var me = this, mash = Mash();\n\n me.next = function() {\n var t = 2091639 * me.s0 + me.c * 2.3283064365386963e-10; // 2^-32\n me.s0 = me.s1;\n me.s1 = me.s2;\n return me.s2 = t - (me.c = t | 0);\n };\n\n // Apply the seeding algorithm from Baagoe.\n me.c = 1;\n me.s0 = mash(' ');\n me.s1 = mash(' ');\n me.s2 = mash(' ');\n me.s0 -= mash(seed);\n if (me.s0 < 0) { me.s0 += 1; }\n me.s1 -= mash(seed);\n if (me.s1 < 0) { me.s1 += 1; }\n me.s2 -= mash(seed);\n if (me.s2 < 0) { me.s2 += 1; }\n mash = null;\n}\n\nfunction copy(f, t) {\n t.c = f.c;\n t.s0 = f.s0;\n t.s1 = f.s1;\n t.s2 = f.s2;\n return t;\n}\n\nfunction impl(seed, opts) {\n var xg = new Alea(seed),\n state = opts && opts.state,\n prng = xg.next;\n prng.int32 = function() { return (xg.next() * 0x100000000) | 0; }\n prng.double = function() {\n return prng() + (prng() * 0x200000 | 0) * 1.1102230246251565e-16; // 2^-53\n };\n prng.quick = prng;\n if (state) {\n if (typeof(state) == 'object') copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nfunction Mash() {\n var n = 0xefc8249d;\n\n var mash = function(data) {\n data = data.toString();\n for (var i = 0; i < data.length; i++) {\n n += data.charCodeAt(i);\n var h = 0.02519603282416938 * n;\n n = h >>> 0;\n h -= n;\n h *= n;\n n = h >>> 0;\n h -= n;\n n += h * 0x100000000; // 2^32\n }\n return (n >>> 0) * 2.3283064365386963e-10; // 2^-32\n };\n\n return mash;\n}\n\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.alea = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n\n", "// A Javascript implementaion of the \"xor128\" prng algorithm by\n// George Marsaglia. See http://www.jstatsoft.org/v08/i14/paper\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this, strseed = '';\n\n me.x = 0;\n me.y = 0;\n me.z = 0;\n me.w = 0;\n\n // Set up generator function.\n me.next = function() {\n var t = me.x ^ (me.x << 11);\n me.x = me.y;\n me.y = me.z;\n me.z = me.w;\n return me.w ^= (me.w >>> 19) ^ t ^ (t >>> 8);\n };\n\n if (seed === (seed | 0)) {\n // Integer seed.\n me.x = seed;\n } else {\n // String seed.\n strseed += seed;\n }\n\n // Mix in string seed, then discard an initial batch of 64 values.\n for (var k = 0; k < strseed.length + 64; k++) {\n me.x ^= strseed.charCodeAt(k) | 0;\n me.next();\n }\n}\n\nfunction copy(f, t) {\n t.x = f.x;\n t.y = f.y;\n t.z = f.z;\n t.w = f.w;\n return t;\n}\n\nfunction impl(seed, opts) {\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (typeof(state) == 'object') copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.xor128 = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n\n", "// A Javascript implementaion of the \"xorwow\" prng algorithm by\n// George Marsaglia. See http://www.jstatsoft.org/v08/i14/paper\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this, strseed = '';\n\n // Set up generator function.\n me.next = function() {\n var t = (me.x ^ (me.x >>> 2));\n me.x = me.y; me.y = me.z; me.z = me.w; me.w = me.v;\n return (me.d = (me.d + 362437 | 0)) +\n (me.v = (me.v ^ (me.v << 4)) ^ (t ^ (t << 1))) | 0;\n };\n\n me.x = 0;\n me.y = 0;\n me.z = 0;\n me.w = 0;\n me.v = 0;\n\n if (seed === (seed | 0)) {\n // Integer seed.\n me.x = seed;\n } else {\n // String seed.\n strseed += seed;\n }\n\n // Mix in string seed, then discard an initial batch of 64 values.\n for (var k = 0; k < strseed.length + 64; k++) {\n me.x ^= strseed.charCodeAt(k) | 0;\n if (k == strseed.length) {\n me.d = me.x << 10 ^ me.x >>> 4;\n }\n me.next();\n }\n}\n\nfunction copy(f, t) {\n t.x = f.x;\n t.y = f.y;\n t.z = f.z;\n t.w = f.w;\n t.v = f.v;\n t.d = f.d;\n return t;\n}\n\nfunction impl(seed, opts) {\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (typeof(state) == 'object') copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.xorwow = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n\n", "// A Javascript implementaion of the \"xorshift7\" algorithm by\n// Fran\u00E7ois Panneton and Pierre L'ecuyer:\n// \"On the Xorgshift Random Number Generators\"\n// http://saluc.engr.uconn.edu/refs/crypto/rng/panneton05onthexorshift.pdf\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this;\n\n // Set up generator function.\n me.next = function() {\n // Update xor generator.\n var X = me.x, i = me.i, t, v, w;\n t = X[i]; t ^= (t >>> 7); v = t ^ (t << 24);\n t = X[(i + 1) & 7]; v ^= t ^ (t >>> 10);\n t = X[(i + 3) & 7]; v ^= t ^ (t >>> 3);\n t = X[(i + 4) & 7]; v ^= t ^ (t << 7);\n t = X[(i + 7) & 7]; t = t ^ (t << 13); v ^= t ^ (t << 9);\n X[i] = v;\n me.i = (i + 1) & 7;\n return v;\n };\n\n function init(me, seed) {\n var j, w, X = [];\n\n if (seed === (seed | 0)) {\n // Seed state array using a 32-bit integer.\n w = X[0] = seed;\n } else {\n // Seed state using a string.\n seed = '' + seed;\n for (j = 0; j < seed.length; ++j) {\n X[j & 7] = (X[j & 7] << 15) ^\n (seed.charCodeAt(j) + X[(j + 1) & 7] << 13);\n }\n }\n // Enforce an array length of 8, not all zeroes.\n while (X.length < 8) X.push(0);\n for (j = 0; j < 8 && X[j] === 0; ++j);\n if (j == 8) w = X[7] = -1; else w = X[j];\n\n me.x = X;\n me.i = 0;\n\n // Discard an initial 256 values.\n for (j = 256; j > 0; --j) {\n me.next();\n }\n }\n\n init(me, seed);\n}\n\nfunction copy(f, t) {\n t.x = f.x.slice();\n t.i = f.i;\n return t;\n}\n\nfunction impl(seed, opts) {\n if (seed == null) seed = +(new Date);\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (state.x) copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.xorshift7 = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n", "// A Javascript implementaion of Richard Brent's Xorgens xor4096 algorithm.\n//\n// This fast non-cryptographic random number generator is designed for\n// use in Monte-Carlo algorithms. It combines a long-period xorshift\n// generator with a Weyl generator, and it passes all common batteries\n// of stasticial tests for randomness while consuming only a few nanoseconds\n// for each prng generated. For background on the generator, see Brent's\n// paper: \"Some long-period random number generators using shifts and xors.\"\n// http://arxiv.org/pdf/1004.3115v1.pdf\n//\n// Usage:\n//\n// var xor4096 = require('xor4096');\n// random = xor4096(1); // Seed with int32 or string.\n// assert.equal(random(), 0.1520436450538547); // (0, 1) range, 53 bits.\n// assert.equal(random.int32(), 1806534897); // signed int32, 32 bits.\n//\n// For nonzero numeric keys, this impelementation provides a sequence\n// identical to that by Brent's xorgens 3 implementaion in C. This\n// implementation also provides for initalizing the generator with\n// string seeds, or for saving and restoring the state of the generator.\n//\n// On Chrome, this prng benchmarks about 2.1 times slower than\n// Javascript's built-in Math.random().\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this;\n\n // Set up generator function.\n me.next = function() {\n var w = me.w,\n X = me.X, i = me.i, t, v;\n // Update Weyl generator.\n me.w = w = (w + 0x61c88647) | 0;\n // Update xor generator.\n v = X[(i + 34) & 127];\n t = X[i = ((i + 1) & 127)];\n v ^= v << 13;\n t ^= t << 17;\n v ^= v >>> 15;\n t ^= t >>> 12;\n // Update Xor generator array state.\n v = X[i] = v ^ t;\n me.i = i;\n // Result is the combination.\n return (v + (w ^ (w >>> 16))) | 0;\n };\n\n function init(me, seed) {\n var t, v, i, j, w, X = [], limit = 128;\n if (seed === (seed | 0)) {\n // Numeric seeds initialize v, which is used to generates X.\n v = seed;\n seed = null;\n } else {\n // String seeds are mixed into v and X one character at a time.\n seed = seed + '\\0';\n v = 0;\n limit = Math.max(limit, seed.length);\n }\n // Initialize circular array and weyl value.\n for (i = 0, j = -32; j < limit; ++j) {\n // Put the unicode characters into the array, and shuffle them.\n if (seed) v ^= seed.charCodeAt((j + 32) % seed.length);\n // After 32 shuffles, take v as the starting w value.\n if (j === 0) w = v;\n v ^= v << 10;\n v ^= v >>> 15;\n v ^= v << 4;\n v ^= v >>> 13;\n if (j >= 0) {\n w = (w + 0x61c88647) | 0; // Weyl.\n t = (X[j & 127] ^= (v + w)); // Combine xor and weyl to init array.\n i = (0 == t) ? i + 1 : 0; // Count zeroes.\n }\n }\n // We have detected all zeroes; make the key nonzero.\n if (i >= 128) {\n X[(seed && seed.length || 0) & 127] = -1;\n }\n // Run the generator 512 times to further mix the state before using it.\n // Factoring this as a function slows the main generator, so it is just\n // unrolled here. The weyl generator is not advanced while warming up.\n i = 127;\n for (j = 4 * 128; j > 0; --j) {\n v = X[(i + 34) & 127];\n t = X[i = ((i + 1) & 127)];\n v ^= v << 13;\n t ^= t << 17;\n v ^= v >>> 15;\n t ^= t >>> 12;\n X[i] = v ^ t;\n }\n // Storing state as object members is faster than using closure variables.\n me.w = w;\n me.X = X;\n me.i = i;\n }\n\n init(me, seed);\n}\n\nfunction copy(f, t) {\n t.i = f.i;\n t.w = f.w;\n t.X = f.X.slice();\n return t;\n};\n\nfunction impl(seed, opts) {\n if (seed == null) seed = +(new Date);\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (state.X) copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.xor4096 = impl;\n}\n\n})(\n this, // window object or global\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n", "// A Javascript implementaion of the \"Tyche-i\" prng algorithm by\n// Samuel Neves and Filipe Araujo.\n// See https://eden.dei.uc.pt/~sneves/pubs/2011-snfa2.pdf\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this, strseed = '';\n\n // Set up generator function.\n me.next = function() {\n var b = me.b, c = me.c, d = me.d, a = me.a;\n b = (b << 25) ^ (b >>> 7) ^ c;\n c = (c - d) | 0;\n d = (d << 24) ^ (d >>> 8) ^ a;\n a = (a - b) | 0;\n me.b = b = (b << 20) ^ (b >>> 12) ^ c;\n me.c = c = (c - d) | 0;\n me.d = (d << 16) ^ (c >>> 16) ^ a;\n return me.a = (a - b) | 0;\n };\n\n /* The following is non-inverted tyche, which has better internal\n * bit diffusion, but which is about 25% slower than tyche-i in JS.\n me.next = function() {\n var a = me.a, b = me.b, c = me.c, d = me.d;\n a = (me.a + me.b | 0) >>> 0;\n d = me.d ^ a; d = d << 16 ^ d >>> 16;\n c = me.c + d | 0;\n b = me.b ^ c; b = b << 12 ^ d >>> 20;\n me.a = a = a + b | 0;\n d = d ^ a; me.d = d = d << 8 ^ d >>> 24;\n me.c = c = c + d | 0;\n b = b ^ c;\n return me.b = (b << 7 ^ b >>> 25);\n }\n */\n\n me.a = 0;\n me.b = 0;\n me.c = 2654435769 | 0;\n me.d = 1367130551;\n\n if (seed === Math.floor(seed)) {\n // Integer seed.\n me.a = (seed / 0x100000000) | 0;\n me.b = seed | 0;\n } else {\n // String seed.\n strseed += seed;\n }\n\n // Mix in string seed, then discard an initial batch of 64 values.\n for (var k = 0; k < strseed.length + 20; k++) {\n me.b ^= strseed.charCodeAt(k) | 0;\n me.next();\n }\n}\n\nfunction copy(f, t) {\n t.a = f.a;\n t.b = f.b;\n t.c = f.c;\n t.d = f.d;\n return t;\n};\n\nfunction impl(seed, opts) {\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (typeof(state) == 'object') copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.tychei = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n\n", "/*\nCopyright 2014 David Bau.\n\nPermission is hereby granted, free of charge, to any person obtaining\na copy of this software and associated documentation files (the\n\"Software\"), to deal in the Software without restriction, including\nwithout limitation the rights to use, copy, modify, merge, publish,\ndistribute, sublicense, and/or sell copies of the Software, and to\npermit persons to whom the Software is furnished to do so, subject to\nthe following conditions:\n\nThe above copyright notice and this permission notice shall be\nincluded in all copies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND,\nEXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF\nMERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.\nIN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY\nCLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,\nTORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE\nSOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.\n\n*/\n\n(function (pool, math) {\n//\n// The following constants are related to IEEE 754 limits.\n//\nvar global = this,\n width = 256, // each RC4 output is 0 <= x < 256\n chunks = 6, // at least six RC4 outputs for each double\n digits = 52, // there are 52 significant digits in a double\n rngname = 'random', // rngname: name for Math.random and Math.seedrandom\n startdenom = math.pow(width, chunks),\n significance = math.pow(2, digits),\n overflow = significance * 2,\n mask = width - 1,\n nodecrypto; // node.js crypto module, initialized at the bottom.\n\n//\n// seedrandom()\n// This is the seedrandom function described above.\n//\nfunction seedrandom(seed, options, callback) {\n var key = [];\n options = (options == true) ? { entropy: true } : (options || {});\n\n // Flatten the seed string or build one from local entropy if needed.\n var shortseed = mixkey(flatten(\n options.entropy ? [seed, tostring(pool)] :\n (seed == null) ? autoseed() : seed, 3), key);\n\n // Use the seed to initialize an ARC4 generator.\n var arc4 = new ARC4(key);\n\n // This function returns a random double in [0, 1) that contains\n // randomness in every bit of the mantissa of the IEEE 754 value.\n var prng = function() {\n var n = arc4.g(chunks), // Start with a numerator n < 2 ^ 48\n d = startdenom, // and denominator d = 2 ^ 48.\n x = 0; // and no 'extra last byte'.\n while (n < significance) { // Fill up all significant digits by\n n = (n + x) * width; // shifting numerator and\n d *= width; // denominator and generating a\n x = arc4.g(1); // new least-significant-byte.\n }\n while (n >= overflow) { // To avoid rounding up, before adding\n n /= 2; // last byte, shift everything\n d /= 2; // right using integer math until\n x >>>= 1; // we have exactly the desired bits.\n }\n return (n + x) / d; // Form the number within [0, 1).\n };\n\n prng.int32 = function() { return arc4.g(4) | 0; }\n prng.quick = function() { return arc4.g(4) / 0x100000000; }\n prng.double = prng;\n\n // Mix the randomness into accumulated entropy.\n mixkey(tostring(arc4.S), pool);\n\n // Calling convention: what to return as a function of prng, seed, is_math.\n return (options.pass || callback ||\n function(prng, seed, is_math_call, state) {\n if (state) {\n // Load the arc4 state from the given state if it has an S array.\n if (state.S) { copy(state, arc4); }\n // Only provide the .state method if requested via options.state.\n prng.state = function() { return copy(arc4, {}); }\n }\n\n // If called as a method of Math (Math.seedrandom()), mutate\n // Math.random because that is how seedrandom.js has worked since v1.0.\n if (is_math_call) { math[rngname] = prng; return seed; }\n\n // Otherwise, it is a newer calling convention, so return the\n // prng directly.\n else return prng;\n })(\n prng,\n shortseed,\n 'global' in options ? options.global : (this == math),\n options.state);\n}\nmath['seed' + rngname] = seedrandom;\n\n//\n// ARC4\n//\n// An ARC4 implementation. The constructor takes a key in the form of\n// an array of at most (width) integers that should be 0 <= x < (width).\n//\n// The g(count) method returns a pseudorandom integer that concatenates\n// the next (count) outputs from ARC4. Its return value is a number x\n// that is in the range 0 <= x < (width ^ count).\n//\nfunction ARC4(key) {\n var t, keylen = key.length,\n me = this, i = 0, j = me.i = me.j = 0, s = me.S = [];\n\n // The empty key [] is treated as [0].\n if (!keylen) { key = [keylen++]; }\n\n // Set up S using the standard key scheduling algorithm.\n while (i < width) {\n s[i] = i++;\n }\n for (i = 0; i < width; i++) {\n s[i] = s[j = mask & (j + key[i % keylen] + (t = s[i]))];\n s[j] = t;\n }\n\n // The \"g\" method returns the next (count) outputs as one number.\n (me.g = function(count) {\n // Using instance members instead of closure state nearly doubles speed.\n var t, r = 0,\n i = me.i, j = me.j, s = me.S;\n while (count--) {\n t = s[i = mask & (i + 1)];\n r = r * width + s[mask & ((s[i] = s[j = mask & (j + t)]) + (s[j] = t))];\n }\n me.i = i; me.j = j;\n return r;\n // For robust unpredictability, the function call below automatically\n // discards an initial batch of values. This is called RC4-drop[256].\n // See http://google.com/search?q=rsa+fluhrer+response&btnI\n })(width);\n}\n\n//\n// copy()\n// Copies internal state of ARC4 to or from a plain object.\n//\nfunction copy(f, t) {\n t.i = f.i;\n t.j = f.j;\n t.S = f.S.slice();\n return t;\n};\n\n//\n// flatten()\n// Converts an object tree to nested arrays of strings.\n//\nfunction flatten(obj, depth) {\n var result = [], typ = (typeof obj), prop;\n if (depth && typ == 'object') {\n for (prop in obj) {\n try { result.push(flatten(obj[prop], depth - 1)); } catch (e) {}\n }\n }\n return (result.length ? result : typ == 'string' ? obj : obj + '\\0');\n}\n\n//\n// mixkey()\n// Mixes a string seed into a key that is an array of integers, and\n// returns a shortened string seed that is equivalent to the result key.\n//\nfunction mixkey(seed, key) {\n var stringseed = seed + '', smear, j = 0;\n while (j < stringseed.length) {\n key[mask & j] =\n mask & ((smear ^= key[mask & j] * 19) + stringseed.charCodeAt(j++));\n }\n return tostring(key);\n}\n\n//\n// autoseed()\n// Returns an object for autoseeding, using window.crypto and Node crypto\n// module if available.\n//\nfunction autoseed() {\n try {\n var out;\n if (nodecrypto && (out = nodecrypto.randomBytes)) {\n // The use of 'out' to remember randomBytes makes tight minified code.\n out = out(width);\n } else {\n out = new Uint8Array(width);\n (global.crypto || global.msCrypto).getRandomValues(out);\n }\n return tostring(out);\n } catch (e) {\n var browser = global.navigator,\n plugins = browser && browser.plugins;\n return [+new Date, global, plugins, global.screen, tostring(pool)];\n }\n}\n\n//\n// tostring()\n// Converts an array of charcodes to a string\n//\nfunction tostring(a) {\n return String.fromCharCode.apply(0, a);\n}\n\n//\n// When seedrandom.js is loaded, we immediately mix a few bits\n// from the built-in RNG into the entropy pool. Because we do\n// not want to interfere with deterministic PRNG state later,\n// seedrandom will not call math.random on its own again after\n// initialization.\n//\nmixkey(math.random(), pool);\n\n//\n// Nodejs and AMD support: export the implementation as a module using\n// either convention.\n//\nif ((typeof module) == 'object' && module.exports) {\n module.exports = seedrandom;\n // When in node.js, try using crypto package for autoseeding.\n try {\n nodecrypto = require('crypto');\n } catch (ex) {}\n} else if ((typeof define) == 'function' && define.amd) {\n define(function() { return seedrandom; });\n}\n\n// End anonymous scope, and pass initial values.\n})(\n [], // pool: entropy pool starts empty\n Math // math: package containing random, pow, and seedrandom\n);\n", "// A library of seedable RNGs implemented in Javascript.\n//\n// Usage:\n//\n// var seedrandom = require('seedrandom');\n// var random = seedrandom(1); // or any seed.\n// var x = random(); // 0 <= x < 1. Every bit is random.\n// var x = random.quick(); // 0 <= x < 1. 32 bits of randomness.\n\n// alea, a 53-bit multiply-with-carry generator by Johannes Baag\u00F8e.\n// Period: ~2^116\n// Reported to pass all BigCrush tests.\nvar alea = require('./lib/alea');\n\n// xor128, a pure xor-shift generator by George Marsaglia.\n// Period: 2^128-1.\n// Reported to fail: MatrixRank and LinearComp.\nvar xor128 = require('./lib/xor128');\n\n// xorwow, George Marsaglia's 160-bit xor-shift combined plus weyl.\n// Period: 2^192-2^32\n// Reported to fail: CollisionOver, SimpPoker, and LinearComp.\nvar xorwow = require('./lib/xorwow');\n\n// xorshift7, by Fran\u00E7ois Panneton and Pierre L'ecuyer, takes\n// a different approach: it adds robustness by allowing more shifts\n// than Marsaglia's original three. It is a 7-shift generator\n// with 256 bits, that passes BigCrush with no systmatic failures.\n// Period 2^256-1.\n// No systematic BigCrush failures reported.\nvar xorshift7 = require('./lib/xorshift7');\n\n// xor4096, by Richard Brent, is a 4096-bit xor-shift with a\n// very long period that also adds a Weyl generator. It also passes\n// BigCrush with no systematic failures. Its long period may\n// be useful if you have many generators and need to avoid\n// collisions.\n// Period: 2^4128-2^32.\n// No systematic BigCrush failures reported.\nvar xor4096 = require('./lib/xor4096');\n\n// Tyche-i, by Samuel Neves and Filipe Araujo, is a bit-shifting random\n// number generator derived from ChaCha, a modern stream cipher.\n// https://eden.dei.uc.pt/~sneves/pubs/2011-snfa2.pdf\n// Period: ~2^127\n// No systematic BigCrush failures reported.\nvar tychei = require('./lib/tychei');\n\n// The original ARC4-based prng included in this library.\n// Period: ~2^1600\nvar sr = require('./seedrandom');\n\nsr.alea = alea;\nsr.xor128 = xor128;\nsr.xorwow = xorwow;\nsr.xorshift7 = xorshift7;\nsr.xor4096 = xor4096;\nsr.tychei = tychei;\n\nmodule.exports = sr;\n", "", "", "", "\nvar WasmBackendModuleThreadedSimd = (function() {\n var _scriptDir = typeof document !== 'undefined' && document.currentScript ? document.currentScript.src : undefined;\n if (typeof __filename !== 'undefined') _scriptDir = _scriptDir || __filename;\n return (\nfunction(WasmBackendModuleThreadedSimd) {\n WasmBackendModuleThreadedSimd = WasmBackendModuleThreadedSimd || {};\n\nfunction GROWABLE_HEAP_I8(){if(wasmMemory.buffer!=buffer){updateGlobalBufferAndViews(wasmMemory.buffer)}return HEAP8}function GROWABLE_HEAP_U8(){if(wasmMemory.buffer!=buffer){updateGlobalBufferAndViews(wasmMemory.buffer)}return HEAPU8}function GROWABLE_HEAP_I32(){if(wasmMemory.buffer!=buffer){updateGlobalBufferAndViews(wasmMemory.buffer)}return HEAP32}function GROWABLE_HEAP_U32(){if(wasmMemory.buffer!=buffer){updateGlobalBufferAndViews(wasmMemory.buffer)}return HEAPU32}function GROWABLE_HEAP_F64(){if(wasmMemory.buffer!=buffer){updateGlobalBufferAndViews(wasmMemory.buffer)}return HEAPF64}var Module=typeof WasmBackendModuleThreadedSimd!==\"undefined\"?WasmBackendModuleThreadedSimd:{};var moduleOverrides={};var key;for(key in Module){if(Module.hasOwnProperty(key)){moduleOverrides[key]=Module[key]}}var arguments_=[];var thisProgram=\"./this.program\";var quit_=function(status,toThrow){throw toThrow};var ENVIRONMENT_IS_WEB=false;var ENVIRONMENT_IS_WORKER=false;var ENVIRONMENT_IS_NODE=false;var ENVIRONMENT_IS_SHELL=false;ENVIRONMENT_IS_WEB=typeof window===\"object\";ENVIRONMENT_IS_WORKER=typeof importScripts===\"function\";ENVIRONMENT_IS_NODE=typeof process===\"object\"&&typeof process.versions===\"object\"&&typeof process.versions.node===\"string\";ENVIRONMENT_IS_SHELL=!ENVIRONMENT_IS_WEB&&!ENVIRONMENT_IS_NODE&&!ENVIRONMENT_IS_WORKER;var ENVIRONMENT_IS_PTHREAD=Module[\"ENVIRONMENT_IS_PTHREAD\"]||false;if(ENVIRONMENT_IS_PTHREAD){buffer=Module[\"buffer\"];DYNAMIC_BASE=Module[\"DYNAMIC_BASE\"];DYNAMICTOP_PTR=Module[\"DYNAMICTOP_PTR\"]}var scriptDirectory=\"\";function locateFile(path){if(Module[\"locateFile\"]){return Module[\"locateFile\"](path,scriptDirectory)}return scriptDirectory+path}var read_,readAsync,readBinary,setWindowTitle;var nodeFS;var nodePath;if(ENVIRONMENT_IS_NODE){if(ENVIRONMENT_IS_WORKER){scriptDirectory=require(\"path\").dirname(scriptDirectory)+\"/\"}else{scriptDirectory=__dirname+\"/\"}read_=function shell_read(filename,binary){if(!nodeFS)nodeFS=require(\"fs\");if(!nodePath)nodePath=require(\"path\");filename=nodePath[\"normalize\"](filename);return nodeFS[\"readFileSync\"](filename,binary?null:\"utf8\")};readBinary=function readBinary(filename){var ret=read_(filename,true);if(!ret.buffer){ret=new Uint8Array(ret)}assert(ret.buffer);return ret};if(process[\"argv\"].length>1){thisProgram=process[\"argv\"][1].replace(/\\\\/g,\"/\")}arguments_=process[\"argv\"].slice(2);process[\"on\"](\"uncaughtException\",function(ex){if(!(ex instanceof ExitStatus)){throw ex}});process[\"on\"](\"unhandledRejection\",abort);quit_=function(status){process[\"exit\"](status)};Module[\"inspect\"]=function(){return\"[Emscripten Module object]\"};var nodeWorkerThreads;try{nodeWorkerThreads=require(\"worker_threads\")}catch(e){console.error('The \"worker_threads\" module is not supported in this node.js build - perhaps a newer version is needed?');throw e}Worker=nodeWorkerThreads.Worker}else if(ENVIRONMENT_IS_SHELL){if(typeof read!=\"undefined\"){read_=function shell_read(f){return read(f)}}readBinary=function readBinary(f){var data;if(typeof readbuffer===\"function\"){return new Uint8Array(readbuffer(f))}data=read(f,\"binary\");assert(typeof data===\"object\");return data};if(typeof scriptArgs!=\"undefined\"){arguments_=scriptArgs}else if(typeof arguments!=\"undefined\"){arguments_=arguments}if(typeof quit===\"function\"){quit_=function(status){quit(status)}}if(typeof print!==\"undefined\"){if(typeof console===\"undefined\")console={};console.log=print;console.warn=console.error=typeof printErr!==\"undefined\"?printErr:print}}else if(ENVIRONMENT_IS_WEB||ENVIRONMENT_IS_WORKER){if(ENVIRONMENT_IS_WORKER){scriptDirectory=self.location.href}else if(document.currentScript){scriptDirectory=document.currentScript.src}if(typeof _scriptDir !== \"undefined\" && _scriptDir){scriptDirectory=_scriptDir}if(scriptDirectory.indexOf(\"blob:\")!==0){scriptDirectory=scriptDirectory.substr(0,scriptDirectory.lastIndexOf(\"/\")+1)}else{scriptDirectory=\"\"}if(ENVIRONMENT_IS_NODE){read_=function shell_read(filename,binary){if(!nodeFS)nodeFS=require(\"fs\");if(!nodePath)nodePath=require(\"path\");filename=nodePath[\"normalize\"](filename);return nodeFS[\"readFileSync\"](filename,binary?null:\"utf8\")};readBinary=function readBinary(filename){var ret=read_(filename,true);if(!ret.buffer){ret=new Uint8Array(ret)}assert(ret.buffer);return ret}}else{read_=function shell_read(url){var xhr=new XMLHttpRequest;xhr.open(\"GET\",url,false);xhr.send(null);return xhr.responseText};if(ENVIRONMENT_IS_WORKER){readBinary=function readBinary(url){var xhr=new XMLHttpRequest;xhr.open(\"GET\",url,false);xhr.responseType=\"arraybuffer\";xhr.send(null);return new Uint8Array(xhr.response)}}readAsync=function readAsync(url,onload,onerror){var xhr=new XMLHttpRequest;xhr.open(\"GET\",url,true);xhr.responseType=\"arraybuffer\";xhr.onload=function xhr_onload(){if(xhr.status==200||xhr.status==0&&xhr.response){onload(xhr.response);return}onerror()};xhr.onerror=onerror;xhr.send(null)}}setWindowTitle=function(title){document.title=title}}else{}if(ENVIRONMENT_IS_NODE){if(typeof performance===\"undefined\"){performance=require(\"perf_hooks\").performance}}var out=Module[\"print\"]||console.log.bind(console);var err=Module[\"printErr\"]||console.warn.bind(console);for(key in moduleOverrides){if(moduleOverrides.hasOwnProperty(key)){Module[key]=moduleOverrides[key]}}moduleOverrides=null;if(Module[\"arguments\"])arguments_=Module[\"arguments\"];if(Module[\"thisProgram\"])thisProgram=Module[\"thisProgram\"];if(Module[\"quit\"])quit_=Module[\"quit\"];var Atomics_load=Atomics.load;var Atomics_store=Atomics.store;var Atomics_compareExchange=Atomics.compareExchange;var wasmBinary;if(Module[\"wasmBinary\"])wasmBinary=Module[\"wasmBinary\"];var noExitRuntime;if(Module[\"noExitRuntime\"])noExitRuntime=Module[\"noExitRuntime\"];if(typeof WebAssembly!==\"object\"){err(\"no native wasm support detected\")}var wasmMemory;var wasmTable=new WebAssembly.Table({\"initial\":171,\"maximum\":171+0,\"element\":\"anyfunc\"});var wasmModule;var threadInfoStruct=0;var selfThreadId=0;var ABORT=false;var EXITSTATUS=0;function assert(condition,text){if(!condition){abort(\"Assertion failed: \"+text)}}function getCFunc(ident){var func=Module[\"_\"+ident];assert(func,\"Cannot call unknown function \"+ident+\", make sure it is exported\");return func}function ccall(ident,returnType,argTypes,args,opts){var toC={\"string\":function(str){var ret=0;if(str!==null&&str!==undefined&&str!==0){var len=(str.length<<2)+1;ret=stackAlloc(len);stringToUTF8(str,ret,len)}return ret},\"array\":function(arr){var ret=stackAlloc(arr.length);writeArrayToMemory(arr,ret);return ret}};function convertReturnValue(ret){if(returnType===\"string\")return UTF8ToString(ret);if(returnType===\"boolean\")return Boolean(ret);return ret}var func=getCFunc(ident);var cArgs=[];var stack=0;if(args){for(var i=0;i=endIdx)){var u0=heap[idx++];if(!u0)return str;if(!(u0&128)){str+=String.fromCharCode(u0);continue}var u1=heap[idx++]&63;if((u0&224)==192){str+=String.fromCharCode((u0&31)<<6|u1);continue}var u2=heap[idx++]&63;if((u0&240)==224){u0=(u0&15)<<12|u1<<6|u2}else{u0=(u0&7)<<18|u1<<12|u2<<6|heap[idx++]&63}if(u0<65536){str+=String.fromCharCode(u0)}else{var ch=u0-65536;str+=String.fromCharCode(55296|ch>>10,56320|ch&1023)}}return str}function UTF8ToString(ptr,maxBytesToRead){return ptr?UTF8ArrayToString(GROWABLE_HEAP_U8(),ptr,maxBytesToRead):\"\"}function stringToUTF8Array(str,heap,outIdx,maxBytesToWrite){if(!(maxBytesToWrite>0))return 0;var startIdx=outIdx;var endIdx=outIdx+maxBytesToWrite-1;for(var i=0;i=55296&&u<=57343){var u1=str.charCodeAt(++i);u=65536+((u&1023)<<10)|u1&1023}if(u<=127){if(outIdx>=endIdx)break;heap[outIdx++]=u}else if(u<=2047){if(outIdx+1>=endIdx)break;heap[outIdx++]=192|u>>6;heap[outIdx++]=128|u&63}else if(u<=65535){if(outIdx+2>=endIdx)break;heap[outIdx++]=224|u>>12;heap[outIdx++]=128|u>>6&63;heap[outIdx++]=128|u&63}else{if(outIdx+3>=endIdx)break;heap[outIdx++]=240|u>>18;heap[outIdx++]=128|u>>12&63;heap[outIdx++]=128|u>>6&63;heap[outIdx++]=128|u&63}}heap[outIdx]=0;return outIdx-startIdx}function stringToUTF8(str,outPtr,maxBytesToWrite){return stringToUTF8Array(str,GROWABLE_HEAP_U8(),outPtr,maxBytesToWrite)}function lengthBytesUTF8(str){var len=0;for(var i=0;i=55296&&u<=57343)u=65536+((u&1023)<<10)|str.charCodeAt(++i)&1023;if(u<=127)++len;else if(u<=2047)len+=2;else if(u<=65535)len+=3;else len+=4}return len}function writeArrayToMemory(array,buffer){GROWABLE_HEAP_I8().set(array,buffer)}var WASM_PAGE_SIZE=65536;function alignUp(x,multiple){if(x%multiple>0){x+=multiple-x%multiple}return x}var buffer,HEAP8,HEAPU8,HEAP16,HEAPU16,HEAP32,HEAPU32,HEAPF32,HEAPF64;function updateGlobalBufferAndViews(buf){buffer=buf;Module[\"HEAP8\"]=HEAP8=new Int8Array(buf);Module[\"HEAP16\"]=HEAP16=new Int16Array(buf);Module[\"HEAP32\"]=HEAP32=new Int32Array(buf);Module[\"HEAPU8\"]=HEAPU8=new Uint8Array(buf);Module[\"HEAPU16\"]=HEAPU16=new Uint16Array(buf);Module[\"HEAPU32\"]=HEAPU32=new Uint32Array(buf);Module[\"HEAPF32\"]=HEAPF32=new Float32Array(buf);Module[\"HEAPF64\"]=HEAPF64=new Float64Array(buf)}var STACK_BASE=5256464,STACKTOP=STACK_BASE,STACK_MAX=13584,DYNAMIC_BASE=5256464,DYNAMICTOP_PTR=12656;if(ENVIRONMENT_IS_PTHREAD){}var INITIAL_INITIAL_MEMORY=Module[\"INITIAL_MEMORY\"]||16777216;if(ENVIRONMENT_IS_PTHREAD){wasmMemory=Module[\"wasmMemory\"];buffer=Module[\"buffer\"]}else{if(Module[\"wasmMemory\"]){wasmMemory=Module[\"wasmMemory\"]}else{wasmMemory=new WebAssembly.Memory({\"initial\":INITIAL_INITIAL_MEMORY/WASM_PAGE_SIZE,\"maximum\":2147483648/WASM_PAGE_SIZE,\"shared\":true});if(!(wasmMemory.buffer instanceof SharedArrayBuffer)){err(\"requested a shared WebAssembly.Memory but the returned buffer is not a SharedArrayBuffer, indicating that while the browser has SharedArrayBuffer it does not have WebAssembly threads support - you may need to set a flag\");if(ENVIRONMENT_IS_NODE){console.log(\"(on node you may need: --experimental-wasm-threads --experimental-wasm-bulk-memory and also use a recent version)\")}throw Error(\"bad memory\")}}}if(wasmMemory){buffer=wasmMemory.buffer}INITIAL_INITIAL_MEMORY=buffer.byteLength;updateGlobalBufferAndViews(buffer);if(!ENVIRONMENT_IS_PTHREAD){GROWABLE_HEAP_I32()[DYNAMICTOP_PTR>>2]=DYNAMIC_BASE}function callRuntimeCallbacks(callbacks){while(callbacks.length>0){var callback=callbacks.shift();if(typeof callback==\"function\"){callback(Module);continue}var func=callback.func;if(typeof func===\"number\"){if(callback.arg===undefined){Module[\"dynCall_v\"](func)}else{Module[\"dynCall_vi\"](func,callback.arg)}}else{func(callback.arg===undefined?null:callback.arg)}}}var __ATPRERUN__=[];var __ATINIT__=[];var __ATMAIN__=[];var __ATEXIT__=[];var __ATPOSTRUN__=[];var runtimeInitialized=false;if(ENVIRONMENT_IS_PTHREAD)runtimeInitialized=true;function preRun(){if(ENVIRONMENT_IS_PTHREAD)return;if(Module[\"preRun\"]){if(typeof Module[\"preRun\"]==\"function\")Module[\"preRun\"]=[Module[\"preRun\"]];while(Module[\"preRun\"].length){addOnPreRun(Module[\"preRun\"].shift())}}callRuntimeCallbacks(__ATPRERUN__)}function initRuntime(){runtimeInitialized=true;callRuntimeCallbacks(__ATINIT__)}function preMain(){if(ENVIRONMENT_IS_PTHREAD)return;callRuntimeCallbacks(__ATMAIN__)}function postRun(){if(ENVIRONMENT_IS_PTHREAD)return;if(Module[\"postRun\"]){if(typeof Module[\"postRun\"]==\"function\")Module[\"postRun\"]=[Module[\"postRun\"]];while(Module[\"postRun\"].length){addOnPostRun(Module[\"postRun\"].shift())}}callRuntimeCallbacks(__ATPOSTRUN__)}function addOnPreRun(cb){__ATPRERUN__.unshift(cb)}function addOnPostRun(cb){__ATPOSTRUN__.unshift(cb)}var Math_ceil=Math.ceil;var Math_floor=Math.floor;var runDependencies=0;var runDependencyWatcher=null;var dependenciesFulfilled=null;function addRunDependency(id){assert(!ENVIRONMENT_IS_PTHREAD,\"addRunDependency cannot be used in a pthread worker\");runDependencies++;if(Module[\"monitorRunDependencies\"]){Module[\"monitorRunDependencies\"](runDependencies)}}function removeRunDependency(id){runDependencies--;if(Module[\"monitorRunDependencies\"]){Module[\"monitorRunDependencies\"](runDependencies)}if(runDependencies==0){if(runDependencyWatcher!==null){clearInterval(runDependencyWatcher);runDependencyWatcher=null}if(dependenciesFulfilled){var callback=dependenciesFulfilled;dependenciesFulfilled=null;callback()}}}Module[\"preloadedImages\"]={};Module[\"preloadedAudios\"]={};function abort(what){if(Module[\"onAbort\"]){Module[\"onAbort\"](what)}if(ENVIRONMENT_IS_PTHREAD)console.error(\"Pthread aborting at \"+(new Error).stack);what+=\"\";out(what);err(what);ABORT=true;EXITSTATUS=1;what=\"abort(\"+what+\"). Build with -s ASSERTIONS=1 for more info.\";throw new WebAssembly.RuntimeError(what)}function hasPrefix(str,prefix){return String.prototype.startsWith?str.startsWith(prefix):str.indexOf(prefix)===0}var dataURIPrefix=\"data:application/octet-stream;base64,\";function isDataURI(filename){return hasPrefix(filename,dataURIPrefix)}var fileURIPrefix=\"file://\";function isFileURI(filename){return hasPrefix(filename,fileURIPrefix)}var wasmBinaryFile=\"tfjs-backend-wasm-threaded-simd.wasm\";if(!isDataURI(wasmBinaryFile)){wasmBinaryFile=locateFile(wasmBinaryFile)}function getBinary(){try{if(wasmBinary){return new Uint8Array(wasmBinary)}if(readBinary){return readBinary(wasmBinaryFile)}else{throw\"both async and sync fetching of the wasm failed\"}}catch(err){abort(err)}}function getBinaryPromise(){if(!wasmBinary&&(ENVIRONMENT_IS_WEB||ENVIRONMENT_IS_WORKER)&&typeof fetch===\"function\"&&!isFileURI(wasmBinaryFile)){return fetch(wasmBinaryFile,{credentials:\"same-origin\"}).then(function(response){if(!response[\"ok\"]){throw\"failed to load wasm binary file at '\"+wasmBinaryFile+\"'\"}return response[\"arrayBuffer\"]()}).catch(function(){return getBinary()})}return new Promise(function(resolve,reject){resolve(getBinary())})}function createWasm(){var info={\"a\":asmLibraryArg};function receiveInstance(instance,module){var exports=instance.exports;Module[\"asm\"]=exports;wasmModule=module;if(!ENVIRONMENT_IS_PTHREAD){var numWorkersToLoad=PThread.unusedWorkers.length;PThread.unusedWorkers.forEach(function(w){PThread.loadWasmModuleToWorker(w,function(){if(!--numWorkersToLoad)removeRunDependency(\"wasm-instantiate\")})})}}if(!ENVIRONMENT_IS_PTHREAD){addRunDependency(\"wasm-instantiate\")}function receiveInstantiatedSource(output){receiveInstance(output[\"instance\"],output[\"module\"])}function instantiateArrayBuffer(receiver){return getBinaryPromise().then(function(binary){return WebAssembly.instantiate(binary,info)}).then(receiver,function(reason){err(\"failed to asynchronously prepare wasm: \"+reason);abort(reason)})}function instantiateAsync(){if(!wasmBinary&&typeof WebAssembly.instantiateStreaming===\"function\"&&!isDataURI(wasmBinaryFile)&&!isFileURI(wasmBinaryFile)&&typeof fetch===\"function\"){fetch(wasmBinaryFile,{credentials:\"same-origin\"}).then(function(response){var result=WebAssembly.instantiateStreaming(response,info);return result.then(receiveInstantiatedSource,function(reason){err(\"wasm streaming compile failed: \"+reason);err(\"falling back to ArrayBuffer instantiation\");instantiateArrayBuffer(receiveInstantiatedSource)})})}else{return instantiateArrayBuffer(receiveInstantiatedSource)}}if(Module[\"instantiateWasm\"]){try{var exports=Module[\"instantiateWasm\"](info,receiveInstance);return exports}catch(e){err(\"Module.instantiateWasm callback failed with error: \"+e);return false}}instantiateAsync();return{}}var ASM_CONSTS={};function initPthreadsJS(){PThread.initRuntime()}if(!ENVIRONMENT_IS_PTHREAD)__ATINIT__.push({func:function(){___wasm_call_ctors()}});var __pthread_ptr=0;var __pthread_is_main_runtime_thread=0;var __pthread_is_main_browser_thread=0;function __register_pthread_ptr(pthreadPtr,isMainBrowserThread,isMainRuntimeThread){pthreadPtr=pthreadPtr|0;isMainBrowserThread=isMainBrowserThread|0;isMainRuntimeThread=isMainRuntimeThread|0;__pthread_ptr=pthreadPtr;__pthread_is_main_browser_thread=isMainBrowserThread;__pthread_is_main_runtime_thread=isMainRuntimeThread}Module[\"__register_pthread_ptr\"]=__register_pthread_ptr;var ERRNO_CODES={EPERM:63,ENOENT:44,ESRCH:71,EINTR:27,EIO:29,ENXIO:60,E2BIG:1,ENOEXEC:45,EBADF:8,ECHILD:12,EAGAIN:6,EWOULDBLOCK:6,ENOMEM:48,EACCES:2,EFAULT:21,ENOTBLK:105,EBUSY:10,EEXIST:20,EXDEV:75,ENODEV:43,ENOTDIR:54,EISDIR:31,EINVAL:28,ENFILE:41,EMFILE:33,ENOTTY:59,ETXTBSY:74,EFBIG:22,ENOSPC:51,ESPIPE:70,EROFS:69,EMLINK:34,EPIPE:64,EDOM:18,ERANGE:68,ENOMSG:49,EIDRM:24,ECHRNG:106,EL2NSYNC:156,EL3HLT:107,EL3RST:108,ELNRNG:109,EUNATCH:110,ENOCSI:111,EL2HLT:112,EDEADLK:16,ENOLCK:46,EBADE:113,EBADR:114,EXFULL:115,ENOANO:104,EBADRQC:103,EBADSLT:102,EDEADLOCK:16,EBFONT:101,ENOSTR:100,ENODATA:116,ETIME:117,ENOSR:118,ENONET:119,ENOPKG:120,EREMOTE:121,ENOLINK:47,EADV:122,ESRMNT:123,ECOMM:124,EPROTO:65,EMULTIHOP:36,EDOTDOT:125,EBADMSG:9,ENOTUNIQ:126,EBADFD:127,EREMCHG:128,ELIBACC:129,ELIBBAD:130,ELIBSCN:131,ELIBMAX:132,ELIBEXEC:133,ENOSYS:52,ENOTEMPTY:55,ENAMETOOLONG:37,ELOOP:32,EOPNOTSUPP:138,EPFNOSUPPORT:139,ECONNRESET:15,ENOBUFS:42,EAFNOSUPPORT:5,EPROTOTYPE:67,ENOTSOCK:57,ENOPROTOOPT:50,ESHUTDOWN:140,ECONNREFUSED:14,EADDRINUSE:3,ECONNABORTED:13,ENETUNREACH:40,ENETDOWN:38,ETIMEDOUT:73,EHOSTDOWN:142,EHOSTUNREACH:23,EINPROGRESS:26,EALREADY:7,EDESTADDRREQ:17,EMSGSIZE:35,EPROTONOSUPPORT:66,ESOCKTNOSUPPORT:137,EADDRNOTAVAIL:4,ENETRESET:39,EISCONN:30,ENOTCONN:53,ETOOMANYREFS:141,EUSERS:136,EDQUOT:19,ESTALE:72,ENOTSUP:138,ENOMEDIUM:148,EILSEQ:25,EOVERFLOW:61,ECANCELED:11,ENOTRECOVERABLE:56,EOWNERDEAD:62,ESTRPIPE:135};var __main_thread_futex_wait_address=13568;function _emscripten_futex_wake(addr,count){if(addr<=0||addr>GROWABLE_HEAP_I8().length||addr&3!=0||count<0)return-28;if(count==0)return 0;if(count>=2147483647)count=Infinity;var mainThreadWaitAddress=Atomics.load(GROWABLE_HEAP_I32(),__main_thread_futex_wait_address>>2);var mainThreadWoken=0;if(mainThreadWaitAddress==addr){var loadedAddr=Atomics.compareExchange(GROWABLE_HEAP_I32(),__main_thread_futex_wait_address>>2,mainThreadWaitAddress,0);if(loadedAddr==mainThreadWaitAddress){--count;mainThreadWoken=1;if(count<=0)return 1}}var ret=Atomics.notify(GROWABLE_HEAP_I32(),addr>>2,count);if(ret>=0)return ret+mainThreadWoken;throw\"Atomics.notify returned an unexpected value \"+ret}Module[\"_emscripten_futex_wake\"]=_emscripten_futex_wake;function __kill_thread(pthread_ptr){if(ENVIRONMENT_IS_PTHREAD)throw\"Internal Error! _kill_thread() can only ever be called from main application thread!\";if(!pthread_ptr)throw\"Internal Error! Null pthread_ptr in _kill_thread!\";GROWABLE_HEAP_I32()[pthread_ptr+12>>2]=0;var pthread=PThread.pthreads[pthread_ptr];pthread.worker.terminate();PThread.freeThreadData(pthread);PThread.runningWorkers.splice(PThread.runningWorkers.indexOf(pthread.worker),1);pthread.worker.pthread=undefined}function __cancel_thread(pthread_ptr){if(ENVIRONMENT_IS_PTHREAD)throw\"Internal Error! _cancel_thread() can only ever be called from main application thread!\";if(!pthread_ptr)throw\"Internal Error! Null pthread_ptr in _cancel_thread!\";var pthread=PThread.pthreads[pthread_ptr];pthread.worker.postMessage({\"cmd\":\"cancel\"})}function __cleanup_thread(pthread_ptr){if(ENVIRONMENT_IS_PTHREAD)throw\"Internal Error! _cleanup_thread() can only ever be called from main application thread!\";if(!pthread_ptr)throw\"Internal Error! Null pthread_ptr in _cleanup_thread!\";GROWABLE_HEAP_I32()[pthread_ptr+12>>2]=0;var pthread=PThread.pthreads[pthread_ptr];if(pthread){var worker=pthread.worker;PThread.returnWorkerToPool(worker)}}var PThread={MAIN_THREAD_ID:1,mainThreadInfo:{schedPolicy:0,schedPrio:0},unusedWorkers:[],runningWorkers:[],initRuntime:function(){__register_pthread_ptr(PThread.mainThreadBlock,!ENVIRONMENT_IS_WORKER,1);_emscripten_register_main_browser_thread_id(PThread.mainThreadBlock)},initMainThreadBlock:function(){var pthreadPoolSize=8;for(var i=0;i>2]=PThread.mainThreadBlock;var headPtr=PThread.mainThreadBlock+156;GROWABLE_HEAP_I32()[headPtr>>2]=headPtr;var tlsMemory=13056;for(var i=0;i<128;++i)GROWABLE_HEAP_U32()[tlsMemory/4+i]=0;Atomics.store(GROWABLE_HEAP_U32(),PThread.mainThreadBlock+104>>2,tlsMemory);Atomics.store(GROWABLE_HEAP_U32(),PThread.mainThreadBlock+40>>2,PThread.mainThreadBlock);Atomics.store(GROWABLE_HEAP_U32(),PThread.mainThreadBlock+44>>2,42)},initWorker:function(){},pthreads:{},exitHandlers:null,setThreadStatus:function(){},runExitHandlers:function(){if(PThread.exitHandlers!==null){while(PThread.exitHandlers.length>0){PThread.exitHandlers.pop()()}PThread.exitHandlers=null}if(ENVIRONMENT_IS_PTHREAD&&threadInfoStruct)___pthread_tsd_run_dtors()},threadExit:function(exitCode){var tb=_pthread_self();if(tb){Atomics.store(GROWABLE_HEAP_U32(),tb+4>>2,exitCode);Atomics.store(GROWABLE_HEAP_U32(),tb+0>>2,1);Atomics.store(GROWABLE_HEAP_U32(),tb+60>>2,1);Atomics.store(GROWABLE_HEAP_U32(),tb+64>>2,0);PThread.runExitHandlers();_emscripten_futex_wake(tb+0,2147483647);__register_pthread_ptr(0,0,0);threadInfoStruct=0;if(ENVIRONMENT_IS_PTHREAD){postMessage({\"cmd\":\"exit\"})}}},threadCancel:function(){PThread.runExitHandlers();Atomics.store(GROWABLE_HEAP_U32(),threadInfoStruct+4>>2,-1);Atomics.store(GROWABLE_HEAP_U32(),threadInfoStruct+0>>2,1);_emscripten_futex_wake(threadInfoStruct+0,2147483647);threadInfoStruct=selfThreadId=0;__register_pthread_ptr(0,0,0);postMessage({\"cmd\":\"cancelDone\"})},terminateAllThreads:function(){for(var t in PThread.pthreads){var pthread=PThread.pthreads[t];if(pthread&&pthread.worker){PThread.returnWorkerToPool(pthread.worker)}}PThread.pthreads={};for(var i=0;i>2];GROWABLE_HEAP_I32()[pthread.threadInfoStruct+104>>2]=0;_free(tlsMemory);_free(pthread.threadInfoStruct)}pthread.threadInfoStruct=0;if(pthread.allocatedOwnStack&&pthread.stackBase)_free(pthread.stackBase);pthread.stackBase=0;if(pthread.worker)pthread.worker.pthread=null},returnWorkerToPool:function(worker){delete PThread.pthreads[worker.pthread.thread];PThread.unusedWorkers.push(worker);PThread.runningWorkers.splice(PThread.runningWorkers.indexOf(worker),1);PThread.freeThreadData(worker.pthread);worker.pthread=undefined},receiveObjectTransfer:function(data){},loadWasmModuleToWorker:function(worker,onFinishedLoading){worker.onmessage=function(e){var d=e[\"data\"];var cmd=d[\"cmd\"];if(worker.pthread)PThread.currentProxiedOperationCallerThread=worker.pthread.threadInfoStruct;if(d[\"targetThread\"]&&d[\"targetThread\"]!=_pthread_self()){var thread=PThread.pthreads[d.targetThread];if(thread){thread.worker.postMessage(e.data,d[\"transferList\"])}else{console.error('Internal error! Worker sent a message \"'+cmd+'\" to target pthread '+d[\"targetThread\"]+\", but that thread no longer exists!\")}PThread.currentProxiedOperationCallerThread=undefined;return}if(cmd===\"processQueuedMainThreadWork\"){_emscripten_main_thread_process_queued_calls()}else if(cmd===\"spawnThread\"){__spawn_thread(e.data)}else if(cmd===\"cleanupThread\"){__cleanup_thread(d[\"thread\"])}else if(cmd===\"killThread\"){__kill_thread(d[\"thread\"])}else if(cmd===\"cancelThread\"){__cancel_thread(d[\"thread\"])}else if(cmd===\"loaded\"){worker.loaded=true;if(onFinishedLoading)onFinishedLoading(worker);if(worker.runPthread){worker.runPthread();delete worker.runPthread}}else if(cmd===\"print\"){out(\"Thread \"+d[\"threadId\"]+\": \"+d[\"text\"])}else if(cmd===\"printErr\"){err(\"Thread \"+d[\"threadId\"]+\": \"+d[\"text\"])}else if(cmd===\"alert\"){alert(\"Thread \"+d[\"threadId\"]+\": \"+d[\"text\"])}else if(cmd===\"exit\"){var detached=worker.pthread&&Atomics.load(GROWABLE_HEAP_U32(),worker.pthread.thread+68>>2);if(detached){PThread.returnWorkerToPool(worker)}}else if(cmd===\"cancelDone\"){PThread.returnWorkerToPool(worker)}else if(cmd===\"objectTransfer\"){PThread.receiveObjectTransfer(e.data)}else if(e.data.target===\"setimmediate\"){worker.postMessage(e.data)}else{err(\"worker sent an unknown command \"+cmd)}PThread.currentProxiedOperationCallerThread=undefined};worker.onerror=function(e){err(\"pthread sent an error! \"+e.filename+\":\"+e.lineno+\": \"+e.message)};if(ENVIRONMENT_IS_NODE){worker.on(\"message\",function(data){worker.onmessage({data:data})});worker.on(\"error\",function(data){worker.onerror(data)});worker.on(\"exit\",function(data){console.log(\"worker exited - TODO: update the worker queue?\")})}worker.postMessage({\"cmd\":\"load\",\"urlOrBlob\":Module[\"mainScriptUrlOrBlob\"]||_scriptDir,\"wasmMemory\":wasmMemory,\"wasmModule\":wasmModule,\"DYNAMIC_BASE\":DYNAMIC_BASE,\"DYNAMICTOP_PTR\":DYNAMICTOP_PTR})},allocateUnusedWorker:function(){var pthreadMainJs=locateFile(\"tfjs-backend-wasm-threaded-simd.worker.js\");PThread.unusedWorkers.push(new Worker(pthreadMainJs))},getNewWorker:function(){if(PThread.unusedWorkers.length==0){PThread.allocateUnusedWorker();PThread.loadWasmModuleToWorker(PThread.unusedWorkers[0])}if(PThread.unusedWorkers.length>0)return PThread.unusedWorkers.pop();else return null},busySpinWait:function(msecs){var t=performance.now()+msecs;while(performance.now()>2]=value;return value}function _atexit(func,arg){if(ENVIRONMENT_IS_PTHREAD)return _emscripten_proxy_to_main_thread_js(1,1,func,arg);__ATEXIT__.unshift({func:func,arg:arg})}function __emscripten_notify_thread_queue(targetThreadId,mainThreadId){if(targetThreadId==mainThreadId){postMessage({\"cmd\":\"processQueuedMainThreadWork\"})}else if(ENVIRONMENT_IS_PTHREAD){postMessage({\"targetThread\":targetThreadId,\"cmd\":\"processThreadQueue\"})}else{var pthread=PThread.pthreads[targetThreadId];var worker=pthread&&pthread.worker;if(!worker){return}worker.postMessage({\"cmd\":\"processThreadQueue\"})}return 1}function _abort(){abort()}function _emscripten_conditional_set_current_thread_status(expectedStatus,newStatus){expectedStatus=expectedStatus|0;newStatus=newStatus|0}function _emscripten_futex_wait(addr,val,timeout){if(addr<=0||addr>GROWABLE_HEAP_I8().length||addr&3!=0)return-28;if(ENVIRONMENT_IS_WORKER){var ret=Atomics.wait(GROWABLE_HEAP_I32(),addr>>2,val,timeout);if(ret===\"timed-out\")return-73;if(ret===\"not-equal\")return-6;if(ret===\"ok\")return 0;throw\"Atomics.wait returned an unexpected value \"+ret}else{var loadedVal=Atomics.load(GROWABLE_HEAP_I32(),addr>>2);if(val!=loadedVal)return-6;var tNow=performance.now();var tEnd=tNow+timeout;Atomics.store(GROWABLE_HEAP_I32(),__main_thread_futex_wait_address>>2,addr);var ourWaitAddress=addr;while(addr==ourWaitAddress){tNow=performance.now();if(tNow>tEnd){return-73}_emscripten_main_thread_process_queued_calls();addr=Atomics.load(GROWABLE_HEAP_I32(),__main_thread_futex_wait_address>>2)}return 0}}function _emscripten_is_main_browser_thread(){return __pthread_is_main_browser_thread|0}function _emscripten_is_main_runtime_thread(){return __pthread_is_main_runtime_thread|0}function _emscripten_memcpy_big(dest,src,num){GROWABLE_HEAP_U8().copyWithin(dest,src,src+num)}function _emscripten_num_logical_cores(){return navigator[\"hardwareConcurrency\"]}function _emscripten_proxy_to_main_thread_js(index,sync){var numCallArgs=arguments.length-2;var stack=stackSave();var args=stackAlloc(numCallArgs*8);var b=args>>3;for(var i=0;i>3]);buf+=8}else{buf=buf+3&~3;args.push(GROWABLE_HEAP_I32()[buf>>2]);buf+=4}}return args}function _emscripten_receive_on_main_thread_js(index,numCallArgs,args){_emscripten_receive_on_main_thread_js_callArgs.length=numCallArgs;var b=args>>3;for(var i=0;i>>16);updateGlobalBufferAndViews(wasmMemory.buffer);return 1}catch(e){}}function _emscripten_resize_heap(requestedSize){requestedSize=requestedSize>>>0;var oldSize=_emscripten_get_heap_size();if(requestedSize<=oldSize){return false}var PAGE_MULTIPLE=65536;var maxHeapSize=2147483648;if(requestedSize>maxHeapSize){return false}var minHeapSize=16777216;for(var cutDown=1;cutDown<=4;cutDown*=2){var overGrownHeapSize=oldSize*(1+.2/cutDown);overGrownHeapSize=Math.min(overGrownHeapSize,requestedSize+100663296);var newSize=Math.min(maxHeapSize,alignUp(Math.max(minHeapSize,requestedSize,overGrownHeapSize),PAGE_MULTIPLE));var replacement=emscripten_realloc_buffer(newSize);if(replacement){return true}}return false}var JSEvents={keyEvent:0,mouseEvent:0,wheelEvent:0,uiEvent:0,focusEvent:0,deviceOrientationEvent:0,deviceMotionEvent:0,fullscreenChangeEvent:0,pointerlockChangeEvent:0,visibilityChangeEvent:0,touchEvent:0,previousFullscreenElement:null,previousScreenX:null,previousScreenY:null,removeEventListenersRegistered:false,removeAllEventListeners:function(){for(var i=JSEvents.eventHandlers.length-1;i>=0;--i){JSEvents._removeHandler(i)}JSEvents.eventHandlers=[];JSEvents.deferredCalls=[]},registerRemoveEventListeners:function(){if(!JSEvents.removeEventListenersRegistered){__ATEXIT__.push(JSEvents.removeAllEventListeners);JSEvents.removeEventListenersRegistered=true}},deferredCalls:[],deferCall:function(targetFunction,precedence,argsList){function arraysHaveEqualContent(arrA,arrB){if(arrA.length!=arrB.length)return false;for(var i in arrA){if(arrA[i]!=arrB[i])return false}return true}for(var i in JSEvents.deferredCalls){var call=JSEvents.deferredCalls[i];if(call.targetFunction==targetFunction&&arraysHaveEqualContent(call.argsList,argsList)){return}}JSEvents.deferredCalls.push({targetFunction:targetFunction,precedence:precedence,argsList:argsList});JSEvents.deferredCalls.sort(function(x,y){return x.precedence>2]=eventTypeId;GROWABLE_HEAP_I32()[varargs+4>>2]=eventData;GROWABLE_HEAP_I32()[varargs+8>>2]=userData;_emscripten_async_queue_on_thread_(targetThread,637534208,eventHandlerFunc,eventData,varargs);stackRestore(stackTop)},getTargetThreadForEventCallback:function(targetThread){switch(targetThread){case 1:return 0;case 2:return PThread.currentProxiedOperationCallerThread;default:return targetThread}},getNodeNameForTarget:function(target){if(!target)return\"\";if(target==window)return\"#window\";if(target==screen)return\"#screen\";return target&&target.nodeName?target.nodeName:\"\"},fullscreenEnabled:function(){return document.fullscreenEnabled||document.webkitFullscreenEnabled}};function stringToNewUTF8(jsString){var length=lengthBytesUTF8(jsString)+1;var cString=_malloc(length);stringToUTF8(jsString,cString,length);return cString}function _emscripten_set_offscreencanvas_size_on_target_thread_js(targetThread,targetCanvas,width,height){var stackTop=stackSave();var varargs=stackAlloc(12);var targetCanvasPtr=0;if(targetCanvas){targetCanvasPtr=stringToNewUTF8(targetCanvas)}GROWABLE_HEAP_I32()[varargs>>2]=targetCanvasPtr;GROWABLE_HEAP_I32()[varargs+4>>2]=width;GROWABLE_HEAP_I32()[varargs+8>>2]=height;_emscripten_async_queue_on_thread_(targetThread,657457152,0,targetCanvasPtr,varargs);stackRestore(stackTop)}function _emscripten_set_offscreencanvas_size_on_target_thread(targetThread,targetCanvas,width,height){targetCanvas=targetCanvas?UTF8ToString(targetCanvas):\"\";_emscripten_set_offscreencanvas_size_on_target_thread_js(targetThread,targetCanvas,width,height)}function __maybeCStringToJsString(cString){return cString>2?UTF8ToString(cString):cString}var specialHTMLTargets=[0,typeof document!==\"undefined\"?document:0,typeof window!==\"undefined\"?window:0];function __findEventTarget(target){target=__maybeCStringToJsString(target);var domElement=specialHTMLTargets[target]||(typeof document!==\"undefined\"?document.querySelector(target):undefined);return domElement}function __findCanvasEventTarget(target){return __findEventTarget(target)}function _emscripten_set_canvas_element_size_calling_thread(target,width,height){var canvas=__findCanvasEventTarget(target);if(!canvas)return-4;if(canvas.canvasSharedPtr){GROWABLE_HEAP_I32()[canvas.canvasSharedPtr>>2]=width;GROWABLE_HEAP_I32()[canvas.canvasSharedPtr+4>>2]=height}if(canvas.offscreenCanvas||!canvas.controlTransferredOffscreen){if(canvas.offscreenCanvas)canvas=canvas.offscreenCanvas;var autoResizeViewport=false;if(canvas.GLctxObject&&canvas.GLctxObject.GLctx){var prevViewport=canvas.GLctxObject.GLctx.getParameter(2978);autoResizeViewport=prevViewport[0]===0&&prevViewport[1]===0&&prevViewport[2]===canvas.width&&prevViewport[3]===canvas.height}canvas.width=width;canvas.height=height;if(autoResizeViewport){canvas.GLctxObject.GLctx.viewport(0,0,width,height)}}else if(canvas.canvasSharedPtr){var targetThread=GROWABLE_HEAP_I32()[canvas.canvasSharedPtr+8>>2];_emscripten_set_offscreencanvas_size_on_target_thread(targetThread,target,width,height);return 1}else{return-4}return 0}function _emscripten_set_canvas_element_size_main_thread(target,width,height){if(ENVIRONMENT_IS_PTHREAD)return _emscripten_proxy_to_main_thread_js(2,1,target,width,height);return _emscripten_set_canvas_element_size_calling_thread(target,width,height)}function _emscripten_set_canvas_element_size(target,width,height){var canvas=__findCanvasEventTarget(target);if(canvas){return _emscripten_set_canvas_element_size_calling_thread(target,width,height)}else{return _emscripten_set_canvas_element_size_main_thread(target,width,height)}}function _emscripten_set_current_thread_status(newStatus){newStatus=newStatus|0}function _emscripten_set_thread_name(threadId,name){threadId=threadId|0;name=name|0}function __webgl_enable_ANGLE_instanced_arrays(ctx){var ext=ctx.getExtension(\"ANGLE_instanced_arrays\");if(ext){ctx[\"vertexAttribDivisor\"]=function(index,divisor){ext[\"vertexAttribDivisorANGLE\"](index,divisor)};ctx[\"drawArraysInstanced\"]=function(mode,first,count,primcount){ext[\"drawArraysInstancedANGLE\"](mode,first,count,primcount)};ctx[\"drawElementsInstanced\"]=function(mode,count,type,indices,primcount){ext[\"drawElementsInstancedANGLE\"](mode,count,type,indices,primcount)};return 1}}function __webgl_enable_OES_vertex_array_object(ctx){var ext=ctx.getExtension(\"OES_vertex_array_object\");if(ext){ctx[\"createVertexArray\"]=function(){return ext[\"createVertexArrayOES\"]()};ctx[\"deleteVertexArray\"]=function(vao){ext[\"deleteVertexArrayOES\"](vao)};ctx[\"bindVertexArray\"]=function(vao){ext[\"bindVertexArrayOES\"](vao)};ctx[\"isVertexArray\"]=function(vao){return ext[\"isVertexArrayOES\"](vao)};return 1}}function __webgl_enable_WEBGL_draw_buffers(ctx){var ext=ctx.getExtension(\"WEBGL_draw_buffers\");if(ext){ctx[\"drawBuffers\"]=function(n,bufs){ext[\"drawBuffersWEBGL\"](n,bufs)};return 1}}var GL={counter:1,lastError:0,buffers:[],mappedBuffers:{},programs:[],framebuffers:[],renderbuffers:[],textures:[],uniforms:[],shaders:[],vaos:[],contexts:{},currentContext:null,offscreenCanvases:{},timerQueriesEXT:[],programInfos:{},stringCache:{},unpackAlignment:4,init:function(){var miniTempFloatBuffer=new Float32Array(GL.MINI_TEMP_BUFFER_SIZE);for(var i=0;i>2]:-1;source+=UTF8ToString(GROWABLE_HEAP_I32()[string+i*4>>2],len<0?undefined:len)}return source},createContext:function(canvas,webGLContextAttributes){var ctx=canvas.getContext(\"webgl\",webGLContextAttributes);if(!ctx)return 0;var handle=GL.registerContext(ctx,webGLContextAttributes);return handle},registerContext:function(ctx,webGLContextAttributes){var handle=_malloc(8);GROWABLE_HEAP_I32()[handle+4>>2]=_pthread_self();var context={handle:handle,attributes:webGLContextAttributes,version:webGLContextAttributes.majorVersion,GLctx:ctx};if(ctx.canvas)ctx.canvas.GLctxObject=context;GL.contexts[handle]=context;if(typeof webGLContextAttributes.enableExtensionsByDefault===\"undefined\"||webGLContextAttributes.enableExtensionsByDefault){GL.initExtensions(context)}return handle},makeContextCurrent:function(contextHandle){GL.currentContext=GL.contexts[contextHandle];Module.ctx=GLctx=GL.currentContext&&GL.currentContext.GLctx;return!(contextHandle&&!GLctx)},getContext:function(contextHandle){return GL.contexts[contextHandle]},deleteContext:function(contextHandle){if(GL.currentContext===GL.contexts[contextHandle])GL.currentContext=null;if(typeof JSEvents===\"object\")JSEvents.removeAllHandlersOnTarget(GL.contexts[contextHandle].GLctx.canvas);if(GL.contexts[contextHandle]&&GL.contexts[contextHandle].GLctx.canvas)GL.contexts[contextHandle].GLctx.canvas.GLctxObject=undefined;_free(GL.contexts[contextHandle].handle);GL.contexts[contextHandle]=null},initExtensions:function(context){if(!context)context=GL.currentContext;if(context.initExtensionsDone)return;context.initExtensionsDone=true;var GLctx=context.GLctx;__webgl_enable_ANGLE_instanced_arrays(GLctx);__webgl_enable_OES_vertex_array_object(GLctx);__webgl_enable_WEBGL_draw_buffers(GLctx);GLctx.disjointTimerQueryExt=GLctx.getExtension(\"EXT_disjoint_timer_query\");var automaticallyEnabledExtensions=[\"OES_texture_float\",\"OES_texture_half_float\",\"OES_standard_derivatives\",\"OES_vertex_array_object\",\"WEBGL_compressed_texture_s3tc\",\"WEBGL_depth_texture\",\"OES_element_index_uint\",\"EXT_texture_filter_anisotropic\",\"EXT_frag_depth\",\"WEBGL_draw_buffers\",\"ANGLE_instanced_arrays\",\"OES_texture_float_linear\",\"OES_texture_half_float_linear\",\"EXT_blend_minmax\",\"EXT_shader_texture_lod\",\"EXT_texture_norm16\",\"WEBGL_compressed_texture_pvrtc\",\"EXT_color_buffer_half_float\",\"WEBGL_color_buffer_float\",\"EXT_sRGB\",\"WEBGL_compressed_texture_etc1\",\"EXT_disjoint_timer_query\",\"WEBGL_compressed_texture_etc\",\"WEBGL_compressed_texture_astc\",\"EXT_color_buffer_float\",\"WEBGL_compressed_texture_s3tc_srgb\",\"EXT_disjoint_timer_query_webgl2\",\"WEBKIT_WEBGL_compressed_texture_pvrtc\"];var exts=GLctx.getSupportedExtensions()||[];exts.forEach(function(ext){if(automaticallyEnabledExtensions.indexOf(ext)!=-1){GLctx.getExtension(ext)}})},populateUniformTable:function(program){var p=GL.programs[program];var ptable=GL.programInfos[program]={uniforms:{},maxUniformLength:0,maxAttributeLength:-1,maxUniformBlockNameLength:-1};var utable=ptable.uniforms;var numUniforms=GLctx.getProgramParameter(p,35718);for(var i=0;i>2;contextAttributes[\"alpha\"]=!!GROWABLE_HEAP_I32()[a+(0>>2)];contextAttributes[\"depth\"]=!!GROWABLE_HEAP_I32()[a+(4>>2)];contextAttributes[\"stencil\"]=!!GROWABLE_HEAP_I32()[a+(8>>2)];contextAttributes[\"antialias\"]=!!GROWABLE_HEAP_I32()[a+(12>>2)];contextAttributes[\"premultipliedAlpha\"]=!!GROWABLE_HEAP_I32()[a+(16>>2)];contextAttributes[\"preserveDrawingBuffer\"]=!!GROWABLE_HEAP_I32()[a+(20>>2)];var powerPreference=GROWABLE_HEAP_I32()[a+(24>>2)];contextAttributes[\"powerPreference\"]=__emscripten_webgl_power_preferences[powerPreference];contextAttributes[\"failIfMajorPerformanceCaveat\"]=!!GROWABLE_HEAP_I32()[a+(28>>2)];contextAttributes.majorVersion=GROWABLE_HEAP_I32()[a+(32>>2)];contextAttributes.minorVersion=GROWABLE_HEAP_I32()[a+(36>>2)];contextAttributes.enableExtensionsByDefault=GROWABLE_HEAP_I32()[a+(40>>2)];contextAttributes.explicitSwapControl=GROWABLE_HEAP_I32()[a+(44>>2)];contextAttributes.proxyContextToMainThread=GROWABLE_HEAP_I32()[a+(48>>2)];contextAttributes.renderViaOffscreenBackBuffer=GROWABLE_HEAP_I32()[a+(52>>2)];var canvas=__findCanvasEventTarget(target);if(!canvas){return-4}if(contextAttributes.explicitSwapControl){return-1}var contextHandle=GL.createContext(canvas,contextAttributes);return contextHandle}function _emscripten_webgl_create_context(a0,a1){return _emscripten_webgl_do_create_context(a0,a1)}var PATH={splitPath:function(filename){var splitPathRe=/^(\\/?|)([\\s\\S]*?)((?:\\.{1,2}|[^\\/]+?|)(\\.[^.\\/]*|))(?:[\\/]*)$/;return splitPathRe.exec(filename).slice(1)},normalizeArray:function(parts,allowAboveRoot){var up=0;for(var i=parts.length-1;i>=0;i--){var last=parts[i];if(last===\".\"){parts.splice(i,1)}else if(last===\"..\"){parts.splice(i,1);up++}else if(up){parts.splice(i,1);up--}}if(allowAboveRoot){for(;up;up--){parts.unshift(\"..\")}}return parts},normalize:function(path){var isAbsolute=path.charAt(0)===\"/\",trailingSlash=path.substr(-1)===\"/\";path=PATH.normalizeArray(path.split(\"/\").filter(function(p){return!!p}),!isAbsolute).join(\"/\");if(!path&&!isAbsolute){path=\".\"}if(path&&trailingSlash){path+=\"/\"}return(isAbsolute?\"/\":\"\")+path},dirname:function(path){var result=PATH.splitPath(path),root=result[0],dir=result[1];if(!root&&!dir){return\".\"}if(dir){dir=dir.substr(0,dir.length-1)}return root+dir},basename:function(path){if(path===\"/\")return\"/\";var lastSlash=path.lastIndexOf(\"/\");if(lastSlash===-1)return path;return path.substr(lastSlash+1)},extname:function(path){return PATH.splitPath(path)[3]},join:function(){var paths=Array.prototype.slice.call(arguments,0);return PATH.normalize(paths.join(\"/\"))},join2:function(l,r){return PATH.normalize(l+\"/\"+r)}};var SYSCALLS={mappings:{},buffers:[null,[],[]],printChar:function(stream,curr){var buffer=SYSCALLS.buffers[stream];if(curr===0||curr===10){(stream===1?out:err)(UTF8ArrayToString(buffer,0));buffer.length=0}else{buffer.push(curr)}},varargs:undefined,get:function(){SYSCALLS.varargs+=4;var ret=GROWABLE_HEAP_I32()[SYSCALLS.varargs-4>>2];return ret},getStr:function(ptr){var ret=UTF8ToString(ptr);return ret},get64:function(low,high){return low}};function _fd_close(fd){if(ENVIRONMENT_IS_PTHREAD)return _emscripten_proxy_to_main_thread_js(3,1,fd);return 0}function _fd_seek(fd,offset_low,offset_high,whence,newOffset){if(ENVIRONMENT_IS_PTHREAD)return _emscripten_proxy_to_main_thread_js(4,1,fd,offset_low,offset_high,whence,newOffset)}function _fd_write(fd,iov,iovcnt,pnum){if(ENVIRONMENT_IS_PTHREAD)return _emscripten_proxy_to_main_thread_js(5,1,fd,iov,iovcnt,pnum);var num=0;for(var i=0;i>2];var len=GROWABLE_HEAP_I32()[iov+(i*8+4)>>2];for(var j=0;j>2]=num;return 0}function _pthread_cleanup_pop(execute){var routine=PThread.exitHandlers.pop();if(execute)routine()}function _pthread_cleanup_push(routine,arg){if(PThread.exitHandlers===null){PThread.exitHandlers=[]}PThread.exitHandlers.push(function(){dynCall_vi(routine,arg)})}function __spawn_thread(threadParams){if(ENVIRONMENT_IS_PTHREAD)throw\"Internal Error! _spawn_thread() can only ever be called from main application thread!\";var worker=PThread.getNewWorker();if(worker.pthread!==undefined)throw\"Internal error!\";if(!threadParams.pthread_ptr)throw\"Internal error, no pthread ptr!\";PThread.runningWorkers.push(worker);var tlsMemory=_malloc(128*4);for(var i=0;i<128;++i){GROWABLE_HEAP_I32()[tlsMemory+i*4>>2]=0}var stackHigh=threadParams.stackBase+threadParams.stackSize;var pthread=PThread.pthreads[threadParams.pthread_ptr]={worker:worker,stackBase:threadParams.stackBase,stackSize:threadParams.stackSize,allocatedOwnStack:threadParams.allocatedOwnStack,thread:threadParams.pthread_ptr,threadInfoStruct:threadParams.pthread_ptr};var tis=pthread.threadInfoStruct>>2;Atomics.store(GROWABLE_HEAP_U32(),tis+(0>>2),0);Atomics.store(GROWABLE_HEAP_U32(),tis+(4>>2),0);Atomics.store(GROWABLE_HEAP_U32(),tis+(8>>2),0);Atomics.store(GROWABLE_HEAP_U32(),tis+(68>>2),threadParams.detached);Atomics.store(GROWABLE_HEAP_U32(),tis+(104>>2),tlsMemory);Atomics.store(GROWABLE_HEAP_U32(),tis+(48>>2),0);Atomics.store(GROWABLE_HEAP_U32(),tis+(40>>2),pthread.threadInfoStruct);Atomics.store(GROWABLE_HEAP_U32(),tis+(44>>2),42);Atomics.store(GROWABLE_HEAP_U32(),tis+(108>>2),threadParams.stackSize);Atomics.store(GROWABLE_HEAP_U32(),tis+(84>>2),threadParams.stackSize);Atomics.store(GROWABLE_HEAP_U32(),tis+(80>>2),stackHigh);Atomics.store(GROWABLE_HEAP_U32(),tis+(108+8>>2),stackHigh);Atomics.store(GROWABLE_HEAP_U32(),tis+(108+12>>2),threadParams.detached);Atomics.store(GROWABLE_HEAP_U32(),tis+(108+20>>2),threadParams.schedPolicy);Atomics.store(GROWABLE_HEAP_U32(),tis+(108+24>>2),threadParams.schedPrio);var global_libc=_emscripten_get_global_libc();var global_locale=global_libc+40;Atomics.store(GROWABLE_HEAP_U32(),tis+(176>>2),global_locale);worker.pthread=pthread;var msg={\"cmd\":\"run\",\"start_routine\":threadParams.startRoutine,\"arg\":threadParams.arg,\"threadInfoStruct\":threadParams.pthread_ptr,\"selfThreadId\":threadParams.pthread_ptr,\"parentThreadId\":threadParams.parent_pthread_ptr,\"stackBase\":threadParams.stackBase,\"stackSize\":threadParams.stackSize};worker.runPthread=function(){msg.time=performance.now();worker.postMessage(msg,threadParams.transferList)};if(worker.loaded){worker.runPthread();delete worker.runPthread}}function _pthread_getschedparam(thread,policy,schedparam){if(!policy&&!schedparam)return ERRNO_CODES.EINVAL;if(!thread){err(\"pthread_getschedparam called with a null thread pointer!\");return ERRNO_CODES.ESRCH}var self=GROWABLE_HEAP_I32()[thread+12>>2];if(self!==thread){err(\"pthread_getschedparam attempted on thread \"+thread+\", which does not point to a valid thread, or does not exist anymore!\");return ERRNO_CODES.ESRCH}var schedPolicy=Atomics.load(GROWABLE_HEAP_U32(),thread+108+20>>2);var schedPrio=Atomics.load(GROWABLE_HEAP_U32(),thread+108+24>>2);if(policy)GROWABLE_HEAP_I32()[policy>>2]=schedPolicy;if(schedparam)GROWABLE_HEAP_I32()[schedparam>>2]=schedPrio;return 0}function _pthread_self(){return __pthread_ptr|0}Module[\"_pthread_self\"]=_pthread_self;function _pthread_create(pthread_ptr,attr,start_routine,arg){if(typeof SharedArrayBuffer===\"undefined\"){err(\"Current environment does not support SharedArrayBuffer, pthreads are not available!\");return 6}if(!pthread_ptr){err(\"pthread_create called with a null thread pointer!\");return 28}var transferList=[];var error=0;if(ENVIRONMENT_IS_PTHREAD&&(transferList.length===0||error)){return _emscripten_sync_run_in_main_thread_4(687865856,pthread_ptr,attr,start_routine,arg)}if(error)return error;var stackSize=0;var stackBase=0;var detached=0;var schedPolicy=0;var schedPrio=0;if(attr){stackSize=GROWABLE_HEAP_I32()[attr>>2];stackSize+=81920;stackBase=GROWABLE_HEAP_I32()[attr+8>>2];detached=GROWABLE_HEAP_I32()[attr+12>>2]!==0;var inheritSched=GROWABLE_HEAP_I32()[attr+16>>2]===0;if(inheritSched){var prevSchedPolicy=GROWABLE_HEAP_I32()[attr+20>>2];var prevSchedPrio=GROWABLE_HEAP_I32()[attr+24>>2];var parentThreadPtr=PThread.currentProxiedOperationCallerThread?PThread.currentProxiedOperationCallerThread:_pthread_self();_pthread_getschedparam(parentThreadPtr,attr+20,attr+24);schedPolicy=GROWABLE_HEAP_I32()[attr+20>>2];schedPrio=GROWABLE_HEAP_I32()[attr+24>>2];GROWABLE_HEAP_I32()[attr+20>>2]=prevSchedPolicy;GROWABLE_HEAP_I32()[attr+24>>2]=prevSchedPrio}else{schedPolicy=GROWABLE_HEAP_I32()[attr+20>>2];schedPrio=GROWABLE_HEAP_I32()[attr+24>>2]}}else{stackSize=2097152}var allocatedOwnStack=stackBase==0;if(allocatedOwnStack){stackBase=_memalign(16,stackSize)}else{stackBase-=stackSize;assert(stackBase>0)}var threadInfoStruct=_malloc(232);for(var i=0;i<232>>2;++i)GROWABLE_HEAP_U32()[(threadInfoStruct>>2)+i]=0;GROWABLE_HEAP_I32()[pthread_ptr>>2]=threadInfoStruct;GROWABLE_HEAP_I32()[threadInfoStruct+12>>2]=threadInfoStruct;var headPtr=threadInfoStruct+156;GROWABLE_HEAP_I32()[headPtr>>2]=headPtr;var threadParams={stackBase:stackBase,stackSize:stackSize,allocatedOwnStack:allocatedOwnStack,schedPolicy:schedPolicy,schedPrio:schedPrio,detached:detached,startRoutine:start_routine,pthread_ptr:threadInfoStruct,parent_pthread_ptr:_pthread_self(),arg:arg,transferList:transferList};if(ENVIRONMENT_IS_PTHREAD){threadParams.cmd=\"spawnThread\";postMessage(threadParams,transferList)}else{__spawn_thread(threadParams)}return 0}function _roundf(d){d=+d;return d>=+0?+Math_floor(d+ +.5):+Math_ceil(d-+.5)}function _sysconf(name){if(ENVIRONMENT_IS_PTHREAD)return _emscripten_proxy_to_main_thread_js(6,1,name);switch(name){case 30:return 16384;case 85:var maxHeapSize=2147483648;return maxHeapSize/16384;case 132:case 133:case 12:case 137:case 138:case 15:case 235:case 16:case 17:case 18:case 19:case 20:case 149:case 13:case 10:case 236:case 153:case 9:case 21:case 22:case 159:case 154:case 14:case 77:case 78:case 139:case 80:case 81:case 82:case 68:case 67:case 164:case 11:case 29:case 47:case 48:case 95:case 52:case 51:case 46:case 79:return 200809;case 27:case 246:case 127:case 128:case 23:case 24:case 160:case 161:case 181:case 182:case 242:case 183:case 184:case 243:case 244:case 245:case 165:case 178:case 179:case 49:case 50:case 168:case 169:case 175:case 170:case 171:case 172:case 97:case 76:case 32:case 173:case 35:return-1;case 176:case 177:case 7:case 155:case 8:case 157:case 125:case 126:case 92:case 93:case 129:case 130:case 131:case 94:case 91:return 1;case 74:case 60:case 69:case 70:case 4:return 1024;case 31:case 42:case 72:return 32;case 87:case 26:case 33:return 2147483647;case 34:case 1:return 47839;case 38:case 36:return 99;case 43:case 37:return 2048;case 0:return 2097152;case 3:return 65536;case 28:return 32768;case 44:return 32767;case 75:return 16384;case 39:return 1e3;case 89:return 700;case 71:return 256;case 40:return 255;case 2:return 100;case 180:return 64;case 25:return 20;case 5:return 16;case 6:return 6;case 73:return 4;case 84:{if(typeof navigator===\"object\")return navigator[\"hardwareConcurrency\"]||1;return 1}}setErrNo(28);return-1}if(!ENVIRONMENT_IS_PTHREAD)PThread.initMainThreadBlock();else PThread.initWorker();var GLctx;GL.init();var proxiedFunctionTable=[null,_atexit,_emscripten_set_canvas_element_size_main_thread,_fd_close,_fd_seek,_fd_write,_sysconf];var asmLibraryArg={\"e\":___assert_fail,\"r\":___call_main,\"w\":__emscripten_notify_thread_queue,\"a\":_abort,\"l\":_emscripten_conditional_set_current_thread_status,\"d\":_emscripten_futex_wait,\"c\":_emscripten_futex_wake,\"h\":_emscripten_get_now,\"g\":_emscripten_is_main_browser_thread,\"x\":_emscripten_is_main_runtime_thread,\"q\":_emscripten_memcpy_big,\"B\":_emscripten_num_logical_cores,\"t\":_emscripten_receive_on_main_thread_js,\"A\":_emscripten_resize_heap,\"u\":_emscripten_set_canvas_element_size,\"k\":_emscripten_set_current_thread_status,\"s\":_emscripten_set_thread_name,\"v\":_emscripten_webgl_create_context,\"m\":_fd_close,\"o\":_fd_seek,\"i\":_fd_write,\"p\":initPthreadsJS,\"memory\":wasmMemory||Module[\"wasmMemory\"],\"y\":_pthread_cleanup_pop,\"z\":_pthread_cleanup_push,\"j\":_pthread_create,\"b\":_pthread_self,\"f\":_roundf,\"n\":_sysconf,\"table\":wasmTable};var asm=createWasm();Module[\"asm\"]=asm;var ___wasm_call_ctors=Module[\"___wasm_call_ctors\"]=function(){return(___wasm_call_ctors=Module[\"___wasm_call_ctors\"]=Module[\"asm\"][\"C\"]).apply(null,arguments)};var _init=Module[\"_init\"]=function(){return(_init=Module[\"_init\"]=Module[\"asm\"][\"D\"]).apply(null,arguments)};var _register_tensor=Module[\"_register_tensor\"]=function(){return(_register_tensor=Module[\"_register_tensor\"]=Module[\"asm\"][\"E\"]).apply(null,arguments)};var _dispose_data=Module[\"_dispose_data\"]=function(){return(_dispose_data=Module[\"_dispose_data\"]=Module[\"asm\"][\"F\"]).apply(null,arguments)};var _dispose=Module[\"_dispose\"]=function(){return(_dispose=Module[\"_dispose\"]=Module[\"asm\"][\"G\"]).apply(null,arguments)};var _Abs=Module[\"_Abs\"]=function(){return(_Abs=Module[\"_Abs\"]=Module[\"asm\"][\"H\"]).apply(null,arguments)};var _Add=Module[\"_Add\"]=function(){return(_Add=Module[\"_Add\"]=Module[\"asm\"][\"I\"]).apply(null,arguments)};var _AddN=Module[\"_AddN\"]=function(){return(_AddN=Module[\"_AddN\"]=Module[\"asm\"][\"J\"]).apply(null,arguments)};var _ArgMax=Module[\"_ArgMax\"]=function(){return(_ArgMax=Module[\"_ArgMax\"]=Module[\"asm\"][\"K\"]).apply(null,arguments)};var _AvgPool=Module[\"_AvgPool\"]=function(){return(_AvgPool=Module[\"_AvgPool\"]=Module[\"asm\"][\"L\"]).apply(null,arguments)};var _BatchMatMul=Module[\"_BatchMatMul\"]=function(){return(_BatchMatMul=Module[\"_BatchMatMul\"]=Module[\"asm\"][\"M\"]).apply(null,arguments)};var _Ceil=Module[\"_Ceil\"]=function(){return(_Ceil=Module[\"_Ceil\"]=Module[\"asm\"][\"N\"]).apply(null,arguments)};var _ClipByValue=Module[\"_ClipByValue\"]=function(){return(_ClipByValue=Module[\"_ClipByValue\"]=Module[\"asm\"][\"O\"]).apply(null,arguments)};var _Conv2D=Module[\"_Conv2D\"]=function(){return(_Conv2D=Module[\"_Conv2D\"]=Module[\"asm\"][\"P\"]).apply(null,arguments)};var _Conv2DBackpropInput=Module[\"_Conv2DBackpropInput\"]=function(){return(_Conv2DBackpropInput=Module[\"_Conv2DBackpropInput\"]=Module[\"asm\"][\"Q\"]).apply(null,arguments)};var _Cos=Module[\"_Cos\"]=function(){return(_Cos=Module[\"_Cos\"]=Module[\"asm\"][\"R\"]).apply(null,arguments)};var _CropAndResize=Module[\"_CropAndResize\"]=function(){return(_CropAndResize=Module[\"_CropAndResize\"]=Module[\"asm\"][\"S\"]).apply(null,arguments)};var _Cumsum=Module[\"_Cumsum\"]=function(){return(_Cumsum=Module[\"_Cumsum\"]=Module[\"asm\"][\"T\"]).apply(null,arguments)};var _DepthToSpace=Module[\"_DepthToSpace\"]=function(){return(_DepthToSpace=Module[\"_DepthToSpace\"]=Module[\"asm\"][\"U\"]).apply(null,arguments)};var _DepthwiseConv2dNative=Module[\"_DepthwiseConv2dNative\"]=function(){return(_DepthwiseConv2dNative=Module[\"_DepthwiseConv2dNative\"]=Module[\"asm\"][\"V\"]).apply(null,arguments)};var _Equal=Module[\"_Equal\"]=function(){return(_Equal=Module[\"_Equal\"]=Module[\"asm\"][\"W\"]).apply(null,arguments)};var _Exp=Module[\"_Exp\"]=function(){return(_Exp=Module[\"_Exp\"]=Module[\"asm\"][\"X\"]).apply(null,arguments)};var _FlipLeftRight=Module[\"_FlipLeftRight\"]=function(){return(_FlipLeftRight=Module[\"_FlipLeftRight\"]=Module[\"asm\"][\"Y\"]).apply(null,arguments)};var _Floor=Module[\"_Floor\"]=function(){return(_Floor=Module[\"_Floor\"]=Module[\"asm\"][\"Z\"]).apply(null,arguments)};var _FloorDiv=Module[\"_FloorDiv\"]=function(){return(_FloorDiv=Module[\"_FloorDiv\"]=Module[\"asm\"][\"_\"]).apply(null,arguments)};var _FusedBatchNorm=Module[\"_FusedBatchNorm\"]=function(){return(_FusedBatchNorm=Module[\"_FusedBatchNorm\"]=Module[\"asm\"][\"$\"]).apply(null,arguments)};var _FusedConv2D=Module[\"_FusedConv2D\"]=function(){return(_FusedConv2D=Module[\"_FusedConv2D\"]=Module[\"asm\"][\"aa\"]).apply(null,arguments)};var _FusedDepthwiseConv2D=Module[\"_FusedDepthwiseConv2D\"]=function(){return(_FusedDepthwiseConv2D=Module[\"_FusedDepthwiseConv2D\"]=Module[\"asm\"][\"ba\"]).apply(null,arguments)};var _Gather=Module[\"_Gather\"]=function(){return(_Gather=Module[\"_Gather\"]=Module[\"asm\"][\"ca\"]).apply(null,arguments)};var _GatherNd=Module[\"_GatherNd\"]=function(){return(_GatherNd=Module[\"_GatherNd\"]=Module[\"asm\"][\"da\"]).apply(null,arguments)};var _Greater=Module[\"_Greater\"]=function(){return(_Greater=Module[\"_Greater\"]=Module[\"asm\"][\"ea\"]).apply(null,arguments)};var _GreaterEqual=Module[\"_GreaterEqual\"]=function(){return(_GreaterEqual=Module[\"_GreaterEqual\"]=Module[\"asm\"][\"fa\"]).apply(null,arguments)};var _LeakyRelu=Module[\"_LeakyRelu\"]=function(){return(_LeakyRelu=Module[\"_LeakyRelu\"]=Module[\"asm\"][\"ga\"]).apply(null,arguments)};var _Less=Module[\"_Less\"]=function(){return(_Less=Module[\"_Less\"]=Module[\"asm\"][\"ha\"]).apply(null,arguments)};var _LessEqual=Module[\"_LessEqual\"]=function(){return(_LessEqual=Module[\"_LessEqual\"]=Module[\"asm\"][\"ia\"]).apply(null,arguments)};var _Log=Module[\"_Log\"]=function(){return(_Log=Module[\"_Log\"]=Module[\"asm\"][\"ja\"]).apply(null,arguments)};var _LogicalAnd=Module[\"_LogicalAnd\"]=function(){return(_LogicalAnd=Module[\"_LogicalAnd\"]=Module[\"asm\"][\"ka\"]).apply(null,arguments)};var _Max=Module[\"_Max\"]=function(){return(_Max=Module[\"_Max\"]=Module[\"asm\"][\"la\"]).apply(null,arguments)};var _MaxPool=Module[\"_MaxPool\"]=function(){return(_MaxPool=Module[\"_MaxPool\"]=Module[\"asm\"][\"ma\"]).apply(null,arguments)};var _Maximum=Module[\"_Maximum\"]=function(){return(_Maximum=Module[\"_Maximum\"]=Module[\"asm\"][\"na\"]).apply(null,arguments)};var _Mean=Module[\"_Mean\"]=function(){return(_Mean=Module[\"_Mean\"]=Module[\"asm\"][\"oa\"]).apply(null,arguments)};var _Min=Module[\"_Min\"]=function(){return(_Min=Module[\"_Min\"]=Module[\"asm\"][\"pa\"]).apply(null,arguments)};var 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stackRestore=Module[\"stackRestore\"]=function(){return(stackRestore=Module[\"stackRestore\"]=Module[\"asm\"][\"stackRestore\"]).apply(null,arguments)};Module[\"asm\"]=asm;Module[\"cwrap\"]=cwrap;var calledRun;Module[\"then\"]=function(func){if(calledRun){func(Module)}else{var old=Module[\"onRuntimeInitialized\"];Module[\"onRuntimeInitialized\"]=function(){if(old)old();func(Module)}}return Module};function ExitStatus(status){this.name=\"ExitStatus\";this.message=\"Program terminated with exit(\"+status+\")\";this.status=status}var calledMain=false;dependenciesFulfilled=function runCaller(){if(!calledRun)run();if(!calledRun)dependenciesFulfilled=runCaller};function callMain(args){var entryFunction=Module[\"__start\"];try{entryFunction();var ret=0;exit(ret,true)}catch(e){if(e instanceof ExitStatus){return}else if(e==\"unwind\"){noExitRuntime=true;return}else{var toLog=e;if(e&&typeof e===\"object\"&&e.stack){toLog=[e,e.stack]}err(\"exception thrown: 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shouldRunNow=true;if(Module[\"noInitialRun\"])shouldRunNow=false;noExitRuntime=true;run();\n\n\n return WasmBackendModule\n}\n);\n})();\nif (typeof exports === 'object' && typeof module === 'object')\n module.exports = WasmBackendModule;\n else if (typeof define === 'function' && define['amd'])\n define([], function() { return WasmBackendModule; });\n else if (typeof exports === 'object')\n exports[\"WasmBackendModule\"] = WasmBackendModule;\n ", "// A port of an algorithm by Johannes Baag\u00F8e , 2010\n// http://baagoe.com/en/RandomMusings/javascript/\n// https://github.com/nquinlan/better-random-numbers-for-javascript-mirror\n// Original work is under MIT license -\n\n// Copyright (C) 2010 by Johannes Baag\u00F8e \n//\n// Permission is hereby granted, free of charge, to any person obtaining a copy\n// of this software and associated documentation files (the \"Software\"), to deal\n// in the Software without restriction, including without limitation the rights\n// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell\n// copies of the Software, and to permit persons to whom the Software is\n// furnished to do so, subject to the following conditions:\n//\n// The above copyright notice and this permission notice shall be included in\n// all copies or substantial portions of the Software.\n//\n// THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\n// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\n// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN\n// THE SOFTWARE.\n\n\n\n(function(global, module, define) {\n\nfunction Alea(seed) {\n var me = this, mash = Mash();\n\n me.next = function() {\n var t = 2091639 * me.s0 + me.c * 2.3283064365386963e-10; // 2^-32\n me.s0 = me.s1;\n me.s1 = me.s2;\n return me.s2 = t - (me.c = t | 0);\n };\n\n // Apply the seeding algorithm from Baagoe.\n me.c = 1;\n me.s0 = mash(' ');\n me.s1 = mash(' ');\n me.s2 = mash(' ');\n me.s0 -= mash(seed);\n if (me.s0 < 0) { me.s0 += 1; }\n me.s1 -= mash(seed);\n if (me.s1 < 0) { me.s1 += 1; }\n me.s2 -= mash(seed);\n if (me.s2 < 0) { me.s2 += 1; }\n mash = null;\n}\n\nfunction copy(f, t) {\n t.c = f.c;\n t.s0 = f.s0;\n t.s1 = f.s1;\n t.s2 = f.s2;\n return t;\n}\n\nfunction impl(seed, opts) {\n var xg = new Alea(seed),\n state = opts && opts.state,\n prng = xg.next;\n prng.int32 = function() { return (xg.next() * 0x100000000) | 0; }\n prng.double = function() {\n return prng() + (prng() * 0x200000 | 0) * 1.1102230246251565e-16; // 2^-53\n };\n prng.quick = prng;\n if (state) {\n if (typeof(state) == 'object') copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nfunction Mash() {\n var n = 0xefc8249d;\n\n var mash = function(data) {\n data = String(data);\n for (var i = 0; i < data.length; i++) {\n n += data.charCodeAt(i);\n var h = 0.02519603282416938 * n;\n n = h >>> 0;\n h -= n;\n h *= n;\n n = h >>> 0;\n h -= n;\n n += h * 0x100000000; // 2^32\n }\n return (n >>> 0) * 2.3283064365386963e-10; // 2^-32\n };\n\n return mash;\n}\n\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.alea = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n\n", "// A Javascript implementaion of the \"xor128\" prng algorithm by\n// George Marsaglia. See http://www.jstatsoft.org/v08/i14/paper\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this, strseed = '';\n\n me.x = 0;\n me.y = 0;\n me.z = 0;\n me.w = 0;\n\n // Set up generator function.\n me.next = function() {\n var t = me.x ^ (me.x << 11);\n me.x = me.y;\n me.y = me.z;\n me.z = me.w;\n return me.w ^= (me.w >>> 19) ^ t ^ (t >>> 8);\n };\n\n if (seed === (seed | 0)) {\n // Integer seed.\n me.x = seed;\n } else {\n // String seed.\n strseed += seed;\n }\n\n // Mix in string seed, then discard an initial batch of 64 values.\n for (var k = 0; k < strseed.length + 64; k++) {\n me.x ^= strseed.charCodeAt(k) | 0;\n me.next();\n }\n}\n\nfunction copy(f, t) {\n t.x = f.x;\n t.y = f.y;\n t.z = f.z;\n t.w = f.w;\n return t;\n}\n\nfunction impl(seed, opts) {\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (typeof(state) == 'object') copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.xor128 = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n\n", "// A Javascript implementaion of the \"xorwow\" prng algorithm by\n// George Marsaglia. See http://www.jstatsoft.org/v08/i14/paper\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this, strseed = '';\n\n // Set up generator function.\n me.next = function() {\n var t = (me.x ^ (me.x >>> 2));\n me.x = me.y; me.y = me.z; me.z = me.w; me.w = me.v;\n return (me.d = (me.d + 362437 | 0)) +\n (me.v = (me.v ^ (me.v << 4)) ^ (t ^ (t << 1))) | 0;\n };\n\n me.x = 0;\n me.y = 0;\n me.z = 0;\n me.w = 0;\n me.v = 0;\n\n if (seed === (seed | 0)) {\n // Integer seed.\n me.x = seed;\n } else {\n // String seed.\n strseed += seed;\n }\n\n // Mix in string seed, then discard an initial batch of 64 values.\n for (var k = 0; k < strseed.length + 64; k++) {\n me.x ^= strseed.charCodeAt(k) | 0;\n if (k == strseed.length) {\n me.d = me.x << 10 ^ me.x >>> 4;\n }\n me.next();\n }\n}\n\nfunction copy(f, t) {\n t.x = f.x;\n t.y = f.y;\n t.z = f.z;\n t.w = f.w;\n t.v = f.v;\n t.d = f.d;\n return t;\n}\n\nfunction impl(seed, opts) {\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (typeof(state) == 'object') copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.xorwow = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n\n", "// A Javascript implementaion of the \"xorshift7\" algorithm by\n// Fran\u00E7ois Panneton and Pierre L'ecuyer:\n// \"On the Xorgshift Random Number Generators\"\n// http://saluc.engr.uconn.edu/refs/crypto/rng/panneton05onthexorshift.pdf\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this;\n\n // Set up generator function.\n me.next = function() {\n // Update xor generator.\n var X = me.x, i = me.i, t, v, w;\n t = X[i]; t ^= (t >>> 7); v = t ^ (t << 24);\n t = X[(i + 1) & 7]; v ^= t ^ (t >>> 10);\n t = X[(i + 3) & 7]; v ^= t ^ (t >>> 3);\n t = X[(i + 4) & 7]; v ^= t ^ (t << 7);\n t = X[(i + 7) & 7]; t = t ^ (t << 13); v ^= t ^ (t << 9);\n X[i] = v;\n me.i = (i + 1) & 7;\n return v;\n };\n\n function init(me, seed) {\n var j, w, X = [];\n\n if (seed === (seed | 0)) {\n // Seed state array using a 32-bit integer.\n w = X[0] = seed;\n } else {\n // Seed state using a string.\n seed = '' + seed;\n for (j = 0; j < seed.length; ++j) {\n X[j & 7] = (X[j & 7] << 15) ^\n (seed.charCodeAt(j) + X[(j + 1) & 7] << 13);\n }\n }\n // Enforce an array length of 8, not all zeroes.\n while (X.length < 8) X.push(0);\n for (j = 0; j < 8 && X[j] === 0; ++j);\n if (j == 8) w = X[7] = -1; else w = X[j];\n\n me.x = X;\n me.i = 0;\n\n // Discard an initial 256 values.\n for (j = 256; j > 0; --j) {\n me.next();\n }\n }\n\n init(me, seed);\n}\n\nfunction copy(f, t) {\n t.x = f.x.slice();\n t.i = f.i;\n return t;\n}\n\nfunction impl(seed, opts) {\n if (seed == null) seed = +(new Date);\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (state.x) copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.xorshift7 = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n", "// A Javascript implementaion of Richard Brent's Xorgens xor4096 algorithm.\n//\n// This fast non-cryptographic random number generator is designed for\n// use in Monte-Carlo algorithms. It combines a long-period xorshift\n// generator with a Weyl generator, and it passes all common batteries\n// of stasticial tests for randomness while consuming only a few nanoseconds\n// for each prng generated. For background on the generator, see Brent's\n// paper: \"Some long-period random number generators using shifts and xors.\"\n// http://arxiv.org/pdf/1004.3115v1.pdf\n//\n// Usage:\n//\n// var xor4096 = require('xor4096');\n// random = xor4096(1); // Seed with int32 or string.\n// assert.equal(random(), 0.1520436450538547); // (0, 1) range, 53 bits.\n// assert.equal(random.int32(), 1806534897); // signed int32, 32 bits.\n//\n// For nonzero numeric keys, this impelementation provides a sequence\n// identical to that by Brent's xorgens 3 implementaion in C. This\n// implementation also provides for initalizing the generator with\n// string seeds, or for saving and restoring the state of the generator.\n//\n// On Chrome, this prng benchmarks about 2.1 times slower than\n// Javascript's built-in Math.random().\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this;\n\n // Set up generator function.\n me.next = function() {\n var w = me.w,\n X = me.X, i = me.i, t, v;\n // Update Weyl generator.\n me.w = w = (w + 0x61c88647) | 0;\n // Update xor generator.\n v = X[(i + 34) & 127];\n t = X[i = ((i + 1) & 127)];\n v ^= v << 13;\n t ^= t << 17;\n v ^= v >>> 15;\n t ^= t >>> 12;\n // Update Xor generator array state.\n v = X[i] = v ^ t;\n me.i = i;\n // Result is the combination.\n return (v + (w ^ (w >>> 16))) | 0;\n };\n\n function init(me, seed) {\n var t, v, i, j, w, X = [], limit = 128;\n if (seed === (seed | 0)) {\n // Numeric seeds initialize v, which is used to generates X.\n v = seed;\n seed = null;\n } else {\n // String seeds are mixed into v and X one character at a time.\n seed = seed + '\\0';\n v = 0;\n limit = Math.max(limit, seed.length);\n }\n // Initialize circular array and weyl value.\n for (i = 0, j = -32; j < limit; ++j) {\n // Put the unicode characters into the array, and shuffle them.\n if (seed) v ^= seed.charCodeAt((j + 32) % seed.length);\n // After 32 shuffles, take v as the starting w value.\n if (j === 0) w = v;\n v ^= v << 10;\n v ^= v >>> 15;\n v ^= v << 4;\n v ^= v >>> 13;\n if (j >= 0) {\n w = (w + 0x61c88647) | 0; // Weyl.\n t = (X[j & 127] ^= (v + w)); // Combine xor and weyl to init array.\n i = (0 == t) ? i + 1 : 0; // Count zeroes.\n }\n }\n // We have detected all zeroes; make the key nonzero.\n if (i >= 128) {\n X[(seed && seed.length || 0) & 127] = -1;\n }\n // Run the generator 512 times to further mix the state before using it.\n // Factoring this as a function slows the main generator, so it is just\n // unrolled here. The weyl generator is not advanced while warming up.\n i = 127;\n for (j = 4 * 128; j > 0; --j) {\n v = X[(i + 34) & 127];\n t = X[i = ((i + 1) & 127)];\n v ^= v << 13;\n t ^= t << 17;\n v ^= v >>> 15;\n t ^= t >>> 12;\n X[i] = v ^ t;\n }\n // Storing state as object members is faster than using closure variables.\n me.w = w;\n me.X = X;\n me.i = i;\n }\n\n init(me, seed);\n}\n\nfunction copy(f, t) {\n t.i = f.i;\n t.w = f.w;\n t.X = f.X.slice();\n return t;\n};\n\nfunction impl(seed, opts) {\n if (seed == null) seed = +(new Date);\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (state.X) copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.xor4096 = impl;\n}\n\n})(\n this, // window object or global\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n", "// A Javascript implementaion of the \"Tyche-i\" prng algorithm by\n// Samuel Neves and Filipe Araujo.\n// See https://eden.dei.uc.pt/~sneves/pubs/2011-snfa2.pdf\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this, strseed = '';\n\n // Set up generator function.\n me.next = function() {\n var b = me.b, c = me.c, d = me.d, a = me.a;\n b = (b << 25) ^ (b >>> 7) ^ c;\n c = (c - d) | 0;\n d = (d << 24) ^ (d >>> 8) ^ a;\n a = (a - b) | 0;\n me.b = b = (b << 20) ^ (b >>> 12) ^ c;\n me.c = c = (c - d) | 0;\n me.d = (d << 16) ^ (c >>> 16) ^ a;\n return me.a = (a - b) | 0;\n };\n\n /* The following is non-inverted tyche, which has better internal\n * bit diffusion, but which is about 25% slower than tyche-i in JS.\n me.next = function() {\n var a = me.a, b = me.b, c = me.c, d = me.d;\n a = (me.a + me.b | 0) >>> 0;\n d = me.d ^ a; d = d << 16 ^ d >>> 16;\n c = me.c + d | 0;\n b = me.b ^ c; b = b << 12 ^ d >>> 20;\n me.a = a = a + b | 0;\n d = d ^ a; me.d = d = d << 8 ^ d >>> 24;\n me.c = c = c + d | 0;\n b = b ^ c;\n return me.b = (b << 7 ^ b >>> 25);\n }\n */\n\n me.a = 0;\n me.b = 0;\n me.c = 2654435769 | 0;\n me.d = 1367130551;\n\n if (seed === Math.floor(seed)) {\n // Integer seed.\n me.a = (seed / 0x100000000) | 0;\n me.b = seed | 0;\n } else {\n // String seed.\n strseed += seed;\n }\n\n // Mix in string seed, then discard an initial batch of 64 values.\n for (var k = 0; k < strseed.length + 20; k++) {\n me.b ^= strseed.charCodeAt(k) | 0;\n me.next();\n }\n}\n\nfunction copy(f, t) {\n t.a = f.a;\n t.b = f.b;\n t.c = f.c;\n t.d = f.d;\n return t;\n};\n\nfunction impl(seed, opts) {\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (typeof(state) == 'object') copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.tychei = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n\n", "/*\nCopyright 2019 David Bau.\n\nPermission is hereby granted, free of charge, to any person obtaining\na copy of this software and associated documentation files (the\n\"Software\"), to deal in the Software without restriction, including\nwithout limitation the rights to use, copy, modify, merge, publish,\ndistribute, sublicense, and/or sell copies of the Software, and to\npermit persons to whom the Software is furnished to do so, subject to\nthe following conditions:\n\nThe above copyright notice and this permission notice shall be\nincluded in all copies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND,\nEXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF\nMERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.\nIN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY\nCLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,\nTORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE\nSOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.\n\n*/\n\n(function (global, pool, math) {\n//\n// The following constants are related to IEEE 754 limits.\n//\n\nvar width = 256, // each RC4 output is 0 <= x < 256\n chunks = 6, // at least six RC4 outputs for each double\n digits = 52, // there are 52 significant digits in a double\n rngname = 'random', // rngname: name for Math.random and Math.seedrandom\n startdenom = math.pow(width, chunks),\n significance = math.pow(2, digits),\n overflow = significance * 2,\n mask = width - 1,\n nodecrypto; // node.js crypto module, initialized at the bottom.\n\n//\n// seedrandom()\n// This is the seedrandom function described above.\n//\nfunction seedrandom(seed, options, callback) {\n var key = [];\n options = (options == true) ? { entropy: true } : (options || {});\n\n // Flatten the seed string or build one from local entropy if needed.\n var shortseed = mixkey(flatten(\n options.entropy ? [seed, tostring(pool)] :\n (seed == null) ? autoseed() : seed, 3), key);\n\n // Use the seed to initialize an ARC4 generator.\n var arc4 = new ARC4(key);\n\n // This function returns a random double in [0, 1) that contains\n // randomness in every bit of the mantissa of the IEEE 754 value.\n var prng = function() {\n var n = arc4.g(chunks), // Start with a numerator n < 2 ^ 48\n d = startdenom, // and denominator d = 2 ^ 48.\n x = 0; // and no 'extra last byte'.\n while (n < significance) { // Fill up all significant digits by\n n = (n + x) * width; // shifting numerator and\n d *= width; // denominator and generating a\n x = arc4.g(1); // new least-significant-byte.\n }\n while (n >= overflow) { // To avoid rounding up, before adding\n n /= 2; // last byte, shift everything\n d /= 2; // right using integer math until\n x >>>= 1; // we have exactly the desired bits.\n }\n return (n + x) / d; // Form the number within [0, 1).\n };\n\n prng.int32 = function() { return arc4.g(4) | 0; }\n prng.quick = function() { return arc4.g(4) / 0x100000000; }\n prng.double = prng;\n\n // Mix the randomness into accumulated entropy.\n mixkey(tostring(arc4.S), pool);\n\n // Calling convention: what to return as a function of prng, seed, is_math.\n return (options.pass || callback ||\n function(prng, seed, is_math_call, state) {\n if (state) {\n // Load the arc4 state from the given state if it has an S array.\n if (state.S) { copy(state, arc4); }\n // Only provide the .state method if requested via options.state.\n prng.state = function() { return copy(arc4, {}); }\n }\n\n // If called as a method of Math (Math.seedrandom()), mutate\n // Math.random because that is how seedrandom.js has worked since v1.0.\n if (is_math_call) { math[rngname] = prng; return seed; }\n\n // Otherwise, it is a newer calling convention, so return the\n // prng directly.\n else return prng;\n })(\n prng,\n shortseed,\n 'global' in options ? options.global : (this == math),\n options.state);\n}\n\n//\n// ARC4\n//\n// An ARC4 implementation. The constructor takes a key in the form of\n// an array of at most (width) integers that should be 0 <= x < (width).\n//\n// The g(count) method returns a pseudorandom integer that concatenates\n// the next (count) outputs from ARC4. Its return value is a number x\n// that is in the range 0 <= x < (width ^ count).\n//\nfunction ARC4(key) {\n var t, keylen = key.length,\n me = this, i = 0, j = me.i = me.j = 0, s = me.S = [];\n\n // The empty key [] is treated as [0].\n if (!keylen) { key = [keylen++]; }\n\n // Set up S using the standard key scheduling algorithm.\n while (i < width) {\n s[i] = i++;\n }\n for (i = 0; i < width; i++) {\n s[i] = s[j = mask & (j + key[i % keylen] + (t = s[i]))];\n s[j] = t;\n }\n\n // The \"g\" method returns the next (count) outputs as one number.\n (me.g = function(count) {\n // Using instance members instead of closure state nearly doubles speed.\n var t, r = 0,\n i = me.i, j = me.j, s = me.S;\n while (count--) {\n t = s[i = mask & (i + 1)];\n r = r * width + s[mask & ((s[i] = s[j = mask & (j + t)]) + (s[j] = t))];\n }\n me.i = i; me.j = j;\n return r;\n // For robust unpredictability, the function call below automatically\n // discards an initial batch of values. This is called RC4-drop[256].\n // See http://google.com/search?q=rsa+fluhrer+response&btnI\n })(width);\n}\n\n//\n// copy()\n// Copies internal state of ARC4 to or from a plain object.\n//\nfunction copy(f, t) {\n t.i = f.i;\n t.j = f.j;\n t.S = f.S.slice();\n return t;\n};\n\n//\n// flatten()\n// Converts an object tree to nested arrays of strings.\n//\nfunction flatten(obj, depth) {\n var result = [], typ = (typeof obj), prop;\n if (depth && typ == 'object') {\n for (prop in obj) {\n try { result.push(flatten(obj[prop], depth - 1)); } catch (e) {}\n }\n }\n return (result.length ? result : typ == 'string' ? obj : obj + '\\0');\n}\n\n//\n// mixkey()\n// Mixes a string seed into a key that is an array of integers, and\n// returns a shortened string seed that is equivalent to the result key.\n//\nfunction mixkey(seed, key) {\n var stringseed = seed + '', smear, j = 0;\n while (j < stringseed.length) {\n key[mask & j] =\n mask & ((smear ^= key[mask & j] * 19) + stringseed.charCodeAt(j++));\n }\n return tostring(key);\n}\n\n//\n// autoseed()\n// Returns an object for autoseeding, using window.crypto and Node crypto\n// module if available.\n//\nfunction autoseed() {\n try {\n var out;\n if (nodecrypto && (out = nodecrypto.randomBytes)) {\n // The use of 'out' to remember randomBytes makes tight minified code.\n out = out(width);\n } else {\n out = new Uint8Array(width);\n (global.crypto || global.msCrypto).getRandomValues(out);\n }\n return tostring(out);\n } catch (e) {\n var browser = global.navigator,\n plugins = browser && browser.plugins;\n return [+new Date, global, plugins, global.screen, tostring(pool)];\n }\n}\n\n//\n// tostring()\n// Converts an array of charcodes to a string\n//\nfunction tostring(a) {\n return String.fromCharCode.apply(0, a);\n}\n\n//\n// When seedrandom.js is loaded, we immediately mix a few bits\n// from the built-in RNG into the entropy pool. Because we do\n// not want to interfere with deterministic PRNG state later,\n// seedrandom will not call math.random on its own again after\n// initialization.\n//\nmixkey(math.random(), pool);\n\n//\n// Nodejs and AMD support: export the implementation as a module using\n// either convention.\n//\nif ((typeof module) == 'object' && module.exports) {\n module.exports = seedrandom;\n // When in node.js, try using crypto package for autoseeding.\n try {\n nodecrypto = require('crypto');\n } catch (ex) {}\n} else if ((typeof define) == 'function' && define.amd) {\n define(function() { return seedrandom; });\n} else {\n // When included as a plain script, set up Math.seedrandom global.\n math['seed' + rngname] = seedrandom;\n}\n\n\n// End anonymous scope, and pass initial values.\n})(\n // global: `self` in browsers (including strict mode and web workers),\n // otherwise `this` in Node and other environments\n (typeof self !== 'undefined') ? self : this,\n [], // pool: entropy pool starts empty\n Math // math: package containing random, pow, and seedrandom\n);\n", "// A library of seedable RNGs implemented in Javascript.\n//\n// Usage:\n//\n// var seedrandom = require('seedrandom');\n// var random = seedrandom(1); // or any seed.\n// var x = random(); // 0 <= x < 1. Every bit is random.\n// var x = random.quick(); // 0 <= x < 1. 32 bits of randomness.\n\n// alea, a 53-bit multiply-with-carry generator by Johannes Baag\u00F8e.\n// Period: ~2^116\n// Reported to pass all BigCrush tests.\nvar alea = require('./lib/alea');\n\n// xor128, a pure xor-shift generator by George Marsaglia.\n// Period: 2^128-1.\n// Reported to fail: MatrixRank and LinearComp.\nvar xor128 = require('./lib/xor128');\n\n// xorwow, George Marsaglia's 160-bit xor-shift combined plus weyl.\n// Period: 2^192-2^32\n// Reported to fail: CollisionOver, SimpPoker, and LinearComp.\nvar xorwow = require('./lib/xorwow');\n\n// xorshift7, by Fran\u00E7ois Panneton and Pierre L'ecuyer, takes\n// a different approach: it adds robustness by allowing more shifts\n// than Marsaglia's original three. It is a 7-shift generator\n// with 256 bits, that passes BigCrush with no systmatic failures.\n// Period 2^256-1.\n// No systematic BigCrush failures reported.\nvar xorshift7 = require('./lib/xorshift7');\n\n// xor4096, by Richard Brent, is a 4096-bit xor-shift with a\n// very long period that also adds a Weyl generator. It also passes\n// BigCrush with no systematic failures. Its long period may\n// be useful if you have many generators and need to avoid\n// collisions.\n// Period: 2^4128-2^32.\n// No systematic BigCrush failures reported.\nvar xor4096 = require('./lib/xor4096');\n\n// Tyche-i, by Samuel Neves and Filipe Araujo, is a bit-shifting random\n// number generator derived from ChaCha, a modern stream cipher.\n// https://eden.dei.uc.pt/~sneves/pubs/2011-snfa2.pdf\n// Period: ~2^127\n// No systematic BigCrush failures reported.\nvar tychei = require('./lib/tychei');\n\n// The original ARC4-based prng included in this library.\n// Period: ~2^1600\nvar sr = require('./seedrandom');\n\nsr.alea = alea;\nsr.xor128 = xor128;\nsr.xorwow = xorwow;\nsr.xorshift7 = xorshift7;\nsr.xor4096 = xor4096;\nsr.tychei = tychei;\n\nmodule.exports = sr;\n", "", null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, "export const wasmWorkerContents = 'var threadInfoStruct=0;var selfThreadId=0;var parentThreadId=0;var Module={};function threadPrintErr(){var text=Array.prototype.slice.call(arguments).join(\" \");console.error(text)}function threadAlert(){var text=Array.prototype.slice.call(arguments).join(\" \");postMessage({cmd:\"alert\",text:text,threadId:selfThreadId})}var err=threadPrintErr;this.alert=threadAlert;Module[\"instantiateWasm\"]=function(info,receiveInstance){var instance=new WebAssembly.Instance(Module[\"wasmModule\"],info);Module[\"wasmModule\"]=null;receiveInstance(instance);return instance.exports};this.onmessage=function(e){try{if(e.data.cmd===\"load\"){Module[\"DYNAMIC_BASE\"]=e.data.DYNAMIC_BASE;Module[\"DYNAMICTOP_PTR\"]=e.data.DYNAMICTOP_PTR;Module[\"wasmModule\"]=e.data.wasmModule;Module[\"wasmMemory\"]=e.data.wasmMemory;Module[\"buffer\"]=Module[\"wasmMemory\"].buffer;Module[\"ENVIRONMENT_IS_PTHREAD\"]=true;if(typeof e.data.urlOrBlob===\"string\"){importScripts(e.data.urlOrBlob)}else{var objectUrl=URL.createObjectURL(e.data.urlOrBlob);importScripts(objectUrl);URL.revokeObjectURL(objectUrl)}Module=WasmBackendModuleThreadedSimd(Module);postMessage({\"cmd\":\"loaded\"})}else if(e.data.cmd===\"objectTransfer\"){Module[\"PThread\"].receiveObjectTransfer(e.data)}else if(e.data.cmd===\"run\"){Module[\"__performance_now_clock_drift\"]=performance.now()-e.data.time;threadInfoStruct=e.data.threadInfoStruct;Module[\"__register_pthread_ptr\"](threadInfoStruct,0,0);selfThreadId=e.data.selfThreadId;parentThreadId=e.data.parentThreadId;var max=e.data.stackBase;var top=e.data.stackBase+e.data.stackSize;Module[\"establishStackSpace\"](top,max);Module[\"_emscripten_tls_init\"]();Module[\"PThread\"].receiveObjectTransfer(e.data);Module[\"PThread\"].setThreadStatus(Module[\"_pthread_self\"](),1);try{var result=Module[\"dynCall_ii\"](e.data.start_routine,e.data.arg);if(!Module[\"getNoExitRuntime\"]())Module[\"PThread\"].threadExit(result)}catch(ex){if(ex===\"Canceled!\"){Module[\"PThread\"].threadCancel()}else if(ex!=\"unwind\"){Atomics.store(Module[\"HEAPU32\"],threadInfoStruct+4>>2,ex instanceof Module[\"ExitStatus\"]?ex.status:-2);Atomics.store(Module[\"HEAPU32\"],threadInfoStruct+0>>2,1);Module[\"_emscripten_futex_wake\"](threadInfoStruct+0,2147483647);if(!(ex instanceof Module[\"ExitStatus\"]))throw ex}}}else if(e.data.cmd===\"cancel\"){if(threadInfoStruct){Module[\"PThread\"].threadCancel()}}else if(e.data.target===\"setimmediate\"){}else if(e.data.cmd===\"processThreadQueue\"){if(threadInfoStruct){Module[\"_emscripten_current_thread_process_queued_calls\"]()}}else{err(\"worker.js received unknown command \"+e.data.cmd);err(e.data)}}catch(ex){err(\"worker.js onmessage() captured an uncaught exception: \"+ex);if(ex.stack)err(ex.stack);throw ex}};if(typeof process===\"object\"&&typeof process.versions===\"object\"&&typeof process.versions.node===\"string\"){self={location:{href:__filename}};var onmessage=this.onmessage;var nodeWorkerThreads=require(\"worker_threads\");Worker=nodeWorkerThreads.Worker;var parentPort=nodeWorkerThreads.parentPort;parentPort.on(\"message\",function(data){onmessage({data:data})});var nodeFS=require(\"fs\");var nodeRead=function(filename){return nodeFS.readFileSync(filename,\"utf8\")};function globalEval(x){global.require=require;global.Module=Module;eval.call(null,x)}importScripts=function(f){globalEval(nodeRead(f))};postMessage=function(msg){parentPort.postMessage(msg)};if(typeof performance===\"undefined\"){performance={now:function(){return Date.now()}}}}';", null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, "// wrapper to load tfjs in a single place so version can be changed quickly\n\n// simplified\n// { modules: 1061, moduleBytes: 3772720, outputBytes: 1531035 }\n\n// export * from '@tensorflow/tfjs/dist/index.js';\n// export * from '@tensorflow/tfjs-backend-wasm';\n\n// modular\n// { modules: 1064, moduleBytes: 3793219, outputBytes: 1535600 }\n\n// get versions of all packages.\nimport * as packageBundle from '@tensorflow/tfjs/package.json';\nimport * as packageCore from '@tensorflow/tfjs-core/package.json';\nimport * as packageData from '@tensorflow/tfjs-data/package.json';\nimport * as packageLayers from '@tensorflow/tfjs-layers/package.json';\nimport * as packageConverter from '@tensorflow/tfjs-converter/package.json';\n// for backends, get version from source so it can register backend during import\nimport { version_cpu } from '@tensorflow/tfjs-backend-cpu/dist/index.js';\nimport { version_webgl } from '@tensorflow/tfjs-backend-webgl/dist/index.js';\nimport { version_wasm } from '@tensorflow/tfjs-backend-wasm/dist/index.js';\n\n// export all\nexport * from '@tensorflow/tfjs-core/dist/index.js';\nexport * from '@tensorflow/tfjs-layers/dist/index.js';\nexport * from '@tensorflow/tfjs-converter/dist/index.js';\nexport * as data from '@tensorflow/tfjs-data/dist/index.js';\nexport * from '@tensorflow/tfjs-backend-cpu/dist/index.js';\nexport * from '@tensorflow/tfjs-backend-webgl/dist/index.js';\nexport * from '@tensorflow/tfjs-backend-wasm/dist/index.js';\n\n// export versions\nexport const version = {\n tfjs: packageBundle.version,\n 'tfjs-core': packageCore.version,\n 'tfjs-data': packageData.version,\n 'tfjs-layers': packageLayers.version,\n 'tfjs-converter': packageConverter.version,\n 'tfjs-backend-cpu': version_cpu,\n 'tfjs-backend-webgl': version_webgl,\n 'tfjs-backend-wasm': version_wasm,\n};\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\n\nexport const config = {\n name: 'humangl',\n priority: 99,\n canvas: null,\n gl: null,\n width: 1024,\n height: 1024,\n webGLattr: { // https://www.khronos.org/registry/webgl/specs/latest/1.0/#5.2\n alpha: false,\n antialias: false,\n premultipliedAlpha: false,\n preserveDrawingBuffer: false,\n depth: false,\n stencil: false,\n failIfMajorPerformanceCaveat: false,\n desynchronized: true,\n },\n};\n\nexport function register() {\n if (!tf.findBackend(config.name)) {\n log('backend registration:', config.name);\n try {\n // @ts-ignore\n config.canvas = (typeof OffscreenCanvas !== 'undefined') ? new OffscreenCanvas(config.width, config.height) : document.createElement('canvas');\n } catch (err) {\n log('error: cannot create canvas:', err);\n return;\n }\n try {\n // @ts-ignore\n config.gl = config.canvas.getContext('webgl2', config.webGLattr);\n } catch (err) {\n log('error: cannot get WebGL2 context:', err);\n return;\n }\n try {\n tf.setWebGLContext(2, config.gl);\n } catch (err) {\n log('error: cannot set WebGL2 context:', err);\n return;\n }\n try {\n const ctx = new tf.GPGPUContext(config.gl);\n tf.registerBackend(config.name, () => new tf.MathBackendWebGL(ctx), config.priority);\n } catch (err) {\n log('error: cannot register WebGL backend:', err);\n return;\n }\n try {\n const kernels = tf.getKernelsForBackend('webgl');\n kernels.forEach((kernelConfig) => {\n const newKernelConfig = { ...kernelConfig, backendName: config.name };\n tf.registerKernel(newKernelConfig);\n });\n } catch (err) {\n log('error: cannot update WebGL backend registration:', err);\n return;\n }\n try {\n tf.ENV.set('WEBGL_VERSION', 2);\n // @ts-ignore\n tf.ENV.set('WEBGL_MAX_TEXTURE_SIZE', config.gl.getParameter(config.gl.MAX_TEXTURE_SIZE));\n tf.ENV.set('WEBGL_FORCE_F16_TEXTURES', true);\n tf.ENV.set('WEBGL_PACK_DEPTHWISECONV', true);\n } catch (err) {\n log('error: cannot set WebGL backend flags:', err);\n return;\n }\n log('backend registered:', config.name);\n }\n}\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\n\nconst NUM_LANDMARKS = 6;\n\nfunction generateAnchors(inputSize) {\n const spec = { strides: [inputSize / 16, inputSize / 8], anchors: [2, 6] };\n const anchors: Array<[number, number]> = [];\n for (let i = 0; i < spec.strides.length; i++) {\n const stride = spec.strides[i];\n const gridRows = Math.floor((inputSize + stride - 1) / stride);\n const gridCols = Math.floor((inputSize + stride - 1) / stride);\n const anchorsNum = spec.anchors[i];\n for (let gridY = 0; gridY < gridRows; gridY++) {\n const anchorY = stride * (gridY + 0.5);\n for (let gridX = 0; gridX < gridCols; gridX++) {\n const anchorX = stride * (gridX + 0.5);\n for (let n = 0; n < anchorsNum; n++) {\n anchors.push([anchorX, anchorY]);\n }\n }\n }\n }\n return anchors;\n}\n\nexport const disposeBox = (box) => {\n box.startEndTensor.dispose();\n box.startPoint.dispose();\n box.endPoint.dispose();\n};\n\nconst createBox = (startEndTensor) => ({\n startEndTensor,\n startPoint: tf.slice(startEndTensor, [0, 0], [-1, 2]),\n endPoint: tf.slice(startEndTensor, [0, 2], [-1, 2]),\n});\n\nfunction decodeBounds(boxOutputs, anchors, inputSize) {\n const boxStarts = tf.slice(boxOutputs, [0, 1], [-1, 2]);\n const centers = tf.add(boxStarts, anchors);\n const boxSizes = tf.slice(boxOutputs, [0, 3], [-1, 2]);\n const boxSizesNormalized = tf.div(boxSizes, inputSize);\n const centersNormalized = tf.div(centers, inputSize);\n const halfBoxSize = tf.div(boxSizesNormalized, 2);\n const starts = tf.sub(centersNormalized, halfBoxSize);\n const ends = tf.add(centersNormalized, halfBoxSize);\n const startNormalized = tf.mul(starts, inputSize);\n const endNormalized = tf.mul(ends, inputSize);\n const concatAxis = 1;\n return tf.concat2d([startNormalized, endNormalized], concatAxis);\n}\n\nexport class BlazeFaceModel {\n blazeFaceModel: any;\n width: number;\n height: number;\n anchorsData: any;\n anchors: any;\n inputSize: number;\n config: any;\n scaleFaces: number;\n\n constructor(model, config) {\n this.blazeFaceModel = model;\n this.width = config.face.detector.inputSize;\n this.height = config.face.detector.inputSize;\n this.anchorsData = generateAnchors(config.face.detector.inputSize);\n this.anchors = tf.tensor2d(this.anchorsData);\n this.inputSize = tf.tensor1d([this.width, this.height]);\n this.config = config;\n this.scaleFaces = 0.8;\n }\n\n async getBoundingBoxes(inputImage) {\n // sanity check on input\n if ((!inputImage) || (inputImage.isDisposedInternal) || (inputImage.shape.length !== 4) || (inputImage.shape[1] < 1) || (inputImage.shape[2] < 1)) return null;\n const [detectedOutputs, boxes, scores] = tf.tidy(() => {\n const resizedImage = inputImage.resizeBilinear([this.width, this.height]);\n // const normalizedImage = tf.mul(tf.sub(resizedImage.div(255), 0.5), 2);\n const normalizedImage = tf.sub(resizedImage.div(127.5), 1);\n const batchedPrediction = this.blazeFaceModel.predict(normalizedImage);\n let prediction;\n // are we using tfhub or pinto converted model?\n if (Array.isArray(batchedPrediction)) {\n const sorted = batchedPrediction.sort((a, b) => a.size - b.size);\n const concat384 = tf.concat([sorted[0], sorted[2]], 2); // dim: 384, 1 + 16\n const concat512 = tf.concat([sorted[1], sorted[3]], 2); // dim: 512, 1 + 16\n const concat = tf.concat([concat512, concat384], 1);\n prediction = concat.squeeze(0);\n } else {\n prediction = batchedPrediction.squeeze(); // when using tfhub model\n }\n const decodedBounds = decodeBounds(prediction, this.anchors, this.inputSize);\n const logits = tf.slice(prediction, [0, 0], [-1, 1]);\n const scoresOut = tf.sigmoid(logits).squeeze();\n return [prediction, decodedBounds, scoresOut];\n });\n const boxIndicesTensor = await tf.image.nonMaxSuppressionAsync(boxes, scores, this.config.face.detector.maxFaces, this.config.face.detector.iouThreshold, this.config.face.detector.scoreThreshold);\n const boxIndices = boxIndicesTensor.arraySync();\n boxIndicesTensor.dispose();\n const boundingBoxesMap = boxIndices.map((boxIndex) => tf.slice(boxes, [boxIndex, 0], [1, -1]));\n const boundingBoxes = boundingBoxesMap.map((boundingBox) => {\n const vals = boundingBox.arraySync();\n boundingBox.dispose();\n return vals;\n });\n\n const scoresVal = scores.dataSync();\n const annotatedBoxes: Array<{ box: any, landmarks: any, anchor: any, confidence: number }> = [];\n for (let i = 0; i < boundingBoxes.length; i++) {\n const boxIndex = boxIndices[i];\n const confidence = scoresVal[boxIndex];\n if (confidence > this.config.face.detector.minConfidence) {\n const box = createBox(boundingBoxes[i]);\n const anchor = this.anchorsData[boxIndex];\n const landmarks = tf.tidy(() => tf.slice(detectedOutputs, [boxIndex, NUM_LANDMARKS - 1], [1, -1]).squeeze().reshape([NUM_LANDMARKS, -1]));\n annotatedBoxes.push({ box, landmarks, anchor, confidence });\n }\n }\n detectedOutputs.dispose();\n boxes.dispose();\n scores.dispose();\n detectedOutputs.dispose();\n return {\n boxes: annotatedBoxes,\n scaleFactor: [inputImage.shape[2] / this.width, inputImage.shape[1] / this.height],\n };\n }\n}\n\nexport async function load(config) {\n const blazeface = await tf.loadGraphModel(config.face.detector.modelPath, { fromTFHub: config.face.detector.modelPath.includes('tfhub.dev') });\n const model = new BlazeFaceModel(blazeface, config);\n log(`load model: ${config.face.detector.modelPath.match(/\\/(.*)\\./)[1]}`);\n return model;\n}\n", "import * as tf from '../../dist/tfjs.esm.js';\n\nexport function scaleBoxCoordinates(box, factor) {\n const startPoint = [box.startPoint[0] * factor[0], box.startPoint[1] * factor[1]];\n const endPoint = [box.endPoint[0] * factor[0], box.endPoint[1] * factor[1]];\n return { startPoint, endPoint };\n}\n\nexport function getBoxSize(box) {\n return [\n Math.abs(box.endPoint[0] - box.startPoint[0]),\n Math.abs(box.endPoint[1] - box.startPoint[1]),\n ];\n}\n\nexport function getBoxCenter(box) {\n return [\n box.startPoint[0] + (box.endPoint[0] - box.startPoint[0]) / 2,\n box.startPoint[1] + (box.endPoint[1] - box.startPoint[1]) / 2,\n ];\n}\n\nexport function cutBoxFromImageAndResize(box, image, cropSize) {\n const h = image.shape[1];\n const w = image.shape[2];\n const boxes = [[\n box.startPoint[1] / h, box.startPoint[0] / w, box.endPoint[1] / h,\n box.endPoint[0] / w,\n ]];\n return tf.image.cropAndResize(image, boxes, [0], cropSize);\n}\n\nexport function enlargeBox(box, factor = 1.5) {\n const center = getBoxCenter(box);\n const size = getBoxSize(box);\n const newHalfSize = [factor * size[0] / 2, factor * size[1] / 2];\n const startPoint = [center[0] - newHalfSize[0], center[1] - newHalfSize[1]];\n const endPoint = [center[0] + newHalfSize[0], center[1] + newHalfSize[1]];\n return { startPoint, endPoint, landmarks: box.landmarks };\n}\n\nexport function squarifyBox(box) {\n const centers = getBoxCenter(box);\n const size = getBoxSize(box);\n const maxEdge = Math.max(...size);\n const halfSize = maxEdge / 2;\n const startPoint = [centers[0] - halfSize, centers[1] - halfSize];\n const endPoint = [centers[0] + halfSize, centers[1] + halfSize];\n return { startPoint, endPoint, landmarks: box.landmarks };\n}\n", "export const IDENTITY_MATRIX = [[1, 0, 0], [0, 1, 0], [0, 0, 1]];\n/**\n * Normalizes the provided angle to the range -pi to pi.\n * @param angle The angle in radians to be normalized.\n */\nexport function normalizeRadians(angle) {\n return angle - 2 * Math.PI * Math.floor((angle + Math.PI) / (2 * Math.PI));\n}\n\n/**\n * Computes the angle of rotation between two anchor points.\n * @param point1 First anchor point\n * @param point2 Second anchor point\n */\nexport function computeRotation(point1, point2) {\n const radians = Math.PI / 2 - Math.atan2(-(point2[1] - point1[1]), point2[0] - point1[0]);\n return normalizeRadians(radians);\n}\n\nexport function radToDegrees(rad) {\n return rad * 180 / Math.PI;\n}\n\nexport function buildTranslationMatrix(x, y) {\n return [[1, 0, x], [0, 1, y], [0, 0, 1]];\n}\n\nexport function dot(v1, v2) {\n let product = 0;\n for (let i = 0; i < v1.length; i++) {\n product += v1[i] * v2[i];\n }\n return product;\n}\n\nexport function getColumnFrom2DArr(arr, columnIndex) {\n const column: Array = [];\n for (let i = 0; i < arr.length; i++) {\n column.push(arr[i][columnIndex]);\n }\n return column;\n}\n\nexport function multiplyTransformMatrices(mat1, mat2) {\n const product: Array = [];\n const size = mat1.length;\n for (let row = 0; row < size; row++) {\n product.push([]);\n for (let col = 0; col < size; col++) {\n product[row].push(dot(mat1[row], getColumnFrom2DArr(mat2, col)));\n }\n }\n return product;\n}\n\nexport function buildRotationMatrix(rotation, center) {\n const cosA = Math.cos(rotation);\n const sinA = Math.sin(rotation);\n const rotationMatrix = [[cosA, -sinA, 0], [sinA, cosA, 0], [0, 0, 1]];\n const translationMatrix = buildTranslationMatrix(center[0], center[1]);\n const translationTimesRotation = multiplyTransformMatrices(translationMatrix, rotationMatrix);\n const negativeTranslationMatrix = buildTranslationMatrix(-center[0], -center[1]);\n return multiplyTransformMatrices(translationTimesRotation, negativeTranslationMatrix);\n}\n\nexport function invertTransformMatrix(matrix) {\n const rotationComponent = [[matrix[0][0], matrix[1][0]], [matrix[0][1], matrix[1][1]]];\n const translationComponent = [matrix[0][2], matrix[1][2]];\n const invertedTranslation = [\n -dot(rotationComponent[0], translationComponent),\n -dot(rotationComponent[1], translationComponent),\n ];\n return [\n rotationComponent[0].concat(invertedTranslation[0]),\n rotationComponent[1].concat(invertedTranslation[1]),\n [0, 0, 1],\n ];\n}\n\nexport function rotatePoint(homogeneousCoordinate, rotationMatrix) {\n return [\n dot(homogeneousCoordinate, rotationMatrix[0]),\n dot(homogeneousCoordinate, rotationMatrix[1]),\n ];\n}\n\nexport function xyDistanceBetweenPoints(a, b) {\n return Math.sqrt(((a[0] - b[0]) ** 2) + ((a[1] - b[1]) ** 2));\n}\n", "export const MESH_ANNOTATIONS = {\n silhouette: [\n 10, 338, 297, 332, 284, 251, 389, 356, 454, 323, 361, 288,\n 397, 365, 379, 378, 400, 377, 152, 148, 176, 149, 150, 136,\n 172, 58, 132, 93, 234, 127, 162, 21, 54, 103, 67, 109,\n ],\n lipsUpperOuter: [61, 185, 40, 39, 37, 0, 267, 269, 270, 409, 291],\n lipsLowerOuter: [146, 91, 181, 84, 17, 314, 405, 321, 375, 291],\n lipsUpperInner: [78, 191, 80, 81, 82, 13, 312, 311, 310, 415, 308],\n lipsLowerInner: [78, 95, 88, 178, 87, 14, 317, 402, 318, 324, 308],\n rightEyeUpper0: [246, 161, 160, 159, 158, 157, 173],\n rightEyeLower0: [33, 7, 163, 144, 145, 153, 154, 155, 133],\n rightEyeUpper1: [247, 30, 29, 27, 28, 56, 190],\n rightEyeLower1: [130, 25, 110, 24, 23, 22, 26, 112, 243],\n rightEyeUpper2: [113, 225, 224, 223, 222, 221, 189],\n rightEyeLower2: [226, 31, 228, 229, 230, 231, 232, 233, 244],\n rightEyeLower3: [143, 111, 117, 118, 119, 120, 121, 128, 245],\n rightEyebrowUpper: [156, 70, 63, 105, 66, 107, 55, 193],\n rightEyebrowLower: [35, 124, 46, 53, 52, 65],\n rightEyeIris: [473, 474, 475, 476, 477],\n leftEyeUpper0: [466, 388, 387, 386, 385, 384, 398],\n leftEyeLower0: [263, 249, 390, 373, 374, 380, 381, 382, 362],\n leftEyeUpper1: [467, 260, 259, 257, 258, 286, 414],\n leftEyeLower1: [359, 255, 339, 254, 253, 252, 256, 341, 463],\n leftEyeUpper2: [342, 445, 444, 443, 442, 441, 413],\n leftEyeLower2: [446, 261, 448, 449, 450, 451, 452, 453, 464],\n leftEyeLower3: [372, 340, 346, 347, 348, 349, 350, 357, 465],\n leftEyebrowUpper: [383, 300, 293, 334, 296, 336, 285, 417],\n leftEyebrowLower: [265, 353, 276, 283, 282, 295],\n leftEyeIris: [468, 469, 470, 471, 472],\n midwayBetweenEyes: [168],\n noseTip: [1],\n noseBottom: [2],\n noseRightCorner: [98],\n noseLeftCorner: [327],\n rightCheek: [205],\n leftCheek: [425],\n};\n\nexport const MESH_TO_IRIS_INDICES_MAP = [ // A mapping from facemesh model keypoints to iris model keypoints.\n { key: 'EyeUpper0', indices: [9, 10, 11, 12, 13, 14, 15] },\n { key: 'EyeUpper1', indices: [25, 26, 27, 28, 29, 30, 31] },\n { key: 'EyeUpper2', indices: [41, 42, 43, 44, 45, 46, 47] },\n { key: 'EyeLower0', indices: [0, 1, 2, 3, 4, 5, 6, 7, 8] },\n { key: 'EyeLower1', indices: [16, 17, 18, 19, 20, 21, 22, 23, 24] },\n { key: 'EyeLower2', indices: [32, 33, 34, 35, 36, 37, 38, 39, 40] },\n { key: 'EyeLower3', indices: [54, 55, 56, 57, 58, 59, 60, 61, 62] },\n // { key: 'EyebrowUpper', indices: [63, 64, 65, 66, 67, 68, 69, 70] },\n // { key: 'EyebrowLower', indices: [48, 49, 50, 51, 52, 53] },\n];\n\nexport const UV468 = [\n [0.499976992607117, 0.652534008026123],\n [0.500025987625122, 0.547487020492554],\n [0.499974012374878, 0.602371990680695],\n [0.482113003730774, 0.471979022026062],\n [0.500150978565216, 0.527155995368958],\n [0.499909996986389, 0.498252987861633],\n [0.499523013830185, 0.40106201171875],\n [0.289712011814117, 0.380764007568359],\n [0.499954998493195, 0.312398016452789],\n [0.499987006187439, 0.269918978214264],\n [0.500023007392883, 0.107050001621246],\n [0.500023007392883, 0.666234016418457],\n [0.5000159740448, 0.679224014282227],\n [0.500023007392883, 0.692348003387451],\n [0.499976992607117, 0.695277988910675],\n [0.499976992607117, 0.70593398809433],\n [0.499976992607117, 0.719385027885437],\n [0.499976992607117, 0.737019002437592],\n [0.499967992305756, 0.781370997428894],\n [0.499816000461578, 0.562981009483337],\n [0.473773002624512, 0.573909997940063],\n [0.104906998574734, 0.254140973091125],\n [0.365929991006851, 0.409575998783112],\n [0.338757991790771, 0.41302502155304],\n [0.311120003461838, 0.409460008144379],\n [0.274657994508743, 0.389131009578705],\n [0.393361985683441, 0.403706014156342],\n [0.345234006643295, 0.344011008739471],\n [0.370094001293182, 0.346076011657715],\n [0.319321990013123, 0.347265005111694],\n [0.297903001308441, 0.353591024875641],\n [0.24779200553894, 0.410809993743896],\n [0.396889001131058, 0.842755019664764],\n [0.280097991228104, 0.375599980354309],\n [0.106310002505779, 0.399955987930298],\n [0.2099249958992, 0.391353011131287],\n [0.355807989835739, 0.534406006336212],\n [0.471751004457474, 0.65040397644043],\n [0.474155008792877, 0.680191993713379],\n [0.439785003662109, 0.657229006290436],\n [0.414617002010345, 0.66654098033905],\n [0.450374007225037, 0.680860996246338],\n [0.428770989179611, 0.682690978050232],\n [0.374971002340317, 0.727805018424988],\n [0.486716985702515, 0.547628998756409],\n [0.485300987958908, 0.527395009994507],\n [0.257764995098114, 0.314490020275116],\n [0.401223003864288, 0.455172002315521],\n [0.429818987846375, 0.548614978790283],\n [0.421351999044418, 0.533740997314453],\n [0.276895999908447, 0.532056987285614],\n [0.483370006084442, 0.499586999416351],\n [0.33721199631691, 0.282882988452911],\n [0.296391993761063, 0.293242990970612],\n [0.169294998049736, 0.193813979625702],\n [0.447580009698868, 0.302609980106354],\n [0.392390012741089, 0.353887975215912],\n [0.354490011930466, 0.696784019470215],\n [0.067304998636246, 0.730105042457581],\n [0.442739009857178, 0.572826027870178],\n [0.457098007202148, 0.584792017936707],\n [0.381974011659622, 0.694710969924927],\n [0.392388999462128, 0.694203019142151],\n [0.277076005935669, 0.271932005882263],\n [0.422551989555359, 0.563233017921448],\n [0.385919004678726, 0.281364023685455],\n [0.383103013038635, 0.255840003490448],\n [0.331431001424789, 0.119714021682739],\n [0.229923993349075, 0.232002973556519],\n [0.364500999450684, 0.189113974571228],\n [0.229622006416321, 0.299540996551514],\n [0.173287004232407, 0.278747975826263],\n [0.472878992557526, 0.666198015213013],\n [0.446828007698059, 0.668527007102966],\n [0.422762006521225, 0.673889994621277],\n [0.445307999849319, 0.580065965652466],\n [0.388103008270264, 0.693961024284363],\n [0.403039008378983, 0.706539988517761],\n [0.403629004955292, 0.693953037261963],\n [0.460041999816895, 0.557139039039612],\n [0.431158006191254, 0.692366003990173],\n [0.452181994915009, 0.692366003990173],\n [0.475387006998062, 0.692366003990173],\n [0.465828001499176, 0.779190003871918],\n [0.472328990697861, 0.736225962638855],\n [0.473087012767792, 0.717857003211975],\n [0.473122000694275, 0.704625964164734],\n [0.473033010959625, 0.695277988910675],\n [0.427942007780075, 0.695277988910675],\n [0.426479011774063, 0.703539967536926],\n [0.423162013292313, 0.711845993995667],\n [0.4183090031147, 0.720062971115112],\n [0.390094995498657, 0.639572978019714],\n [0.013953999616206, 0.560034036636353],\n [0.499913990497589, 0.58014702796936],\n [0.413199990987778, 0.69539999961853],\n [0.409626007080078, 0.701822996139526],\n [0.468080013990402, 0.601534962654114],\n [0.422728985548019, 0.585985004901886],\n [0.463079988956451, 0.593783974647522],\n [0.37211999297142, 0.47341400384903],\n [0.334562003612518, 0.496073007583618],\n [0.411671012639999, 0.546965003013611],\n [0.242175996303558, 0.14767599105835],\n [0.290776997804642, 0.201445996761322],\n [0.327338010072708, 0.256527006626129],\n [0.399509996175766, 0.748921036720276],\n [0.441727995872498, 0.261676013469696],\n [0.429764986038208, 0.187834024429321],\n [0.412198007106781, 0.108901023864746],\n [0.288955003023148, 0.398952007293701],\n [0.218936994671822, 0.435410976409912],\n [0.41278201341629, 0.398970007896423],\n [0.257135003805161, 0.355440020561218],\n [0.427684992551804, 0.437960982322693],\n [0.448339998722076, 0.536936044692993],\n [0.178560003638268, 0.45755398273468],\n [0.247308000922203, 0.457193970680237],\n [0.286267012357712, 0.467674970626831],\n [0.332827985286713, 0.460712015628815],\n [0.368755996227264, 0.447206974029541],\n [0.398963987827301, 0.432654976844788],\n [0.476410001516342, 0.405806005001068],\n [0.189241006970406, 0.523923993110657],\n [0.228962004184723, 0.348950982093811],\n [0.490725994110107, 0.562400996685028],\n [0.404670000076294, 0.485132992267609],\n [0.019469000399113, 0.401564002037048],\n [0.426243007183075, 0.420431017875671],\n [0.396993011236191, 0.548797011375427],\n [0.266469985246658, 0.376977026462555],\n [0.439121007919312, 0.51895797252655],\n [0.032313998788595, 0.644356966018677],\n [0.419054001569748, 0.387154996395111],\n [0.462783008813858, 0.505746960639954],\n [0.238978996872902, 0.779744982719421],\n [0.198220998048782, 0.831938028335571],\n [0.107550002634525, 0.540755033493042],\n [0.183610007166862, 0.740257024765015],\n [0.134409993886948, 0.333683013916016],\n [0.385764002799988, 0.883153975009918],\n [0.490967005491257, 0.579378008842468],\n [0.382384985685349, 0.508572995662689],\n [0.174399003386497, 0.397670984268188],\n [0.318785011768341, 0.39623498916626],\n [0.343364000320435, 0.400596976280212],\n [0.396100014448166, 0.710216999053955],\n [0.187885001301765, 0.588537991046906],\n [0.430987000465393, 0.944064974784851],\n [0.318993002176285, 0.898285031318665],\n [0.266247987747192, 0.869701027870178],\n [0.500023007392883, 0.190576016902924],\n [0.499976992607117, 0.954452991485596],\n [0.366169989109039, 0.398822009563446],\n [0.393207013607025, 0.39553701877594],\n [0.410373002290726, 0.391080021858215],\n [0.194993004202843, 0.342101991176605],\n [0.388664990663528, 0.362284004688263],\n [0.365961998701096, 0.355970978736877],\n [0.343364000320435, 0.355356991291046],\n [0.318785011768341, 0.35834002494812],\n [0.301414996385574, 0.363156020641327],\n [0.058132998645306, 0.319076001644135],\n [0.301414996385574, 0.387449026107788],\n [0.499987989664078, 0.618434011936188],\n [0.415838003158569, 0.624195992946625],\n [0.445681989192963, 0.566076993942261],\n [0.465844005346298, 0.620640993118286],\n [0.49992299079895, 0.351523995399475],\n [0.288718998432159, 0.819945991039276],\n [0.335278987884521, 0.852819979190826],\n [0.440512001514435, 0.902418971061707],\n [0.128294005990028, 0.791940987110138],\n [0.408771991729736, 0.373893976211548],\n [0.455606997013092, 0.451801002025604],\n [0.499877005815506, 0.908990025520325],\n [0.375436991453171, 0.924192011356354],\n [0.11421000212431, 0.615022003650665],\n [0.448662012815475, 0.695277988910675],\n [0.4480200111866, 0.704632043838501],\n [0.447111994028091, 0.715808033943176],\n [0.444831997156143, 0.730794012546539],\n [0.430011987686157, 0.766808986663818],\n [0.406787008047104, 0.685672998428345],\n [0.400738000869751, 0.681069016456604],\n [0.392399996519089, 0.677703022956848],\n [0.367855995893478, 0.663918972015381],\n [0.247923001646996, 0.601333022117615],\n [0.452769994735718, 0.420849978923798],\n [0.43639200925827, 0.359887003898621],\n [0.416164010763168, 0.368713974952698],\n [0.413385987281799, 0.692366003990173],\n [0.228018000721931, 0.683571994304657],\n [0.468268007040024, 0.352671027183533],\n [0.411361992359161, 0.804327011108398],\n [0.499989002943039, 0.469825029373169],\n [0.479153990745544, 0.442654013633728],\n [0.499974012374878, 0.439637005329132],\n [0.432112008333206, 0.493588984012604],\n [0.499886006116867, 0.866917014122009],\n [0.49991300702095, 0.821729004383087],\n [0.456548988819122, 0.819200992584229],\n [0.344549000263214, 0.745438992977142],\n [0.37890899181366, 0.574010014533997],\n [0.374292999505997, 0.780184984207153],\n [0.319687992334366, 0.570737957954407],\n [0.357154995203018, 0.604269981384277],\n [0.295284003019333, 0.621580958366394],\n [0.447750002145767, 0.862477004528046],\n [0.410986006259918, 0.508723020553589],\n [0.31395098567009, 0.775308012962341],\n [0.354128003120422, 0.812552988529205],\n [0.324548006057739, 0.703992962837219],\n [0.189096003770828, 0.646299958229065],\n [0.279776990413666, 0.71465802192688],\n [0.1338230073452, 0.682700991630554],\n [0.336768001317978, 0.644733011722565],\n [0.429883986711502, 0.466521978378296],\n [0.455527991056442, 0.548622965812683],\n [0.437114000320435, 0.558896005153656],\n [0.467287987470627, 0.529924988746643],\n [0.414712011814117, 0.335219979286194],\n [0.37704598903656, 0.322777986526489],\n [0.344107985496521, 0.320150971412659],\n [0.312875986099243, 0.32233202457428],\n [0.283526003360748, 0.333190023899078],\n [0.241245999932289, 0.382785975933075],\n [0.102986000478268, 0.468762993812561],\n [0.267612010240555, 0.424560010433197],\n [0.297879010438919, 0.433175981044769],\n [0.333433985710144, 0.433878004550934],\n [0.366427004337311, 0.426115989685059],\n [0.396012008190155, 0.416696012020111],\n [0.420121014118195, 0.41022801399231],\n [0.007561000064015, 0.480777025222778],\n [0.432949006557465, 0.569517970085144],\n [0.458638995885849, 0.479089021682739],\n [0.473466008901596, 0.545744001865387],\n [0.476087987422943, 0.563830018043518],\n [0.468472003936768, 0.555056989192963],\n [0.433990985155106, 0.582361996173859],\n [0.483518004417419, 0.562983989715576],\n [0.482482999563217, 0.57784903049469],\n [0.42645001411438, 0.389798998832703],\n [0.438998997211456, 0.39649498462677],\n [0.450067013502121, 0.400434017181396],\n [0.289712011814117, 0.368252992630005],\n [0.276670008897781, 0.363372981548309],\n [0.517862021923065, 0.471948027610779],\n [0.710287988185883, 0.380764007568359],\n [0.526226997375488, 0.573909997940063],\n [0.895093023777008, 0.254140973091125],\n [0.634069979190826, 0.409575998783112],\n [0.661242008209229, 0.41302502155304],\n [0.688880026340485, 0.409460008144379],\n [0.725341975688934, 0.389131009578705],\n [0.606630027294159, 0.40370500087738],\n [0.654766023159027, 0.344011008739471],\n [0.629905998706818, 0.346076011657715],\n [0.680678009986877, 0.347265005111694],\n [0.702096998691559, 0.353591024875641],\n [0.75221198797226, 0.410804986953735],\n [0.602918028831482, 0.842862963676453],\n [0.719901978969574, 0.375599980354309],\n [0.893692970275879, 0.399959981441498],\n [0.790081977844238, 0.391354024410248],\n [0.643998026847839, 0.534487962722778],\n [0.528249025344849, 0.65040397644043],\n [0.525849997997284, 0.680191040039062],\n [0.560214996337891, 0.657229006290436],\n [0.585384011268616, 0.66654098033905],\n [0.549625992774963, 0.680860996246338],\n [0.57122802734375, 0.682691991329193],\n [0.624852001667023, 0.72809898853302],\n [0.513050019741058, 0.547281980514526],\n [0.51509702205658, 0.527251958847046],\n [0.742246985435486, 0.314507007598877],\n [0.598631024360657, 0.454979002475739],\n [0.570338010787964, 0.548575043678284],\n [0.578631997108459, 0.533622980117798],\n [0.723087012767792, 0.532054007053375],\n [0.516445994377136, 0.499638974666595],\n [0.662801027297974, 0.282917976379395],\n [0.70362401008606, 0.293271005153656],\n [0.830704987049103, 0.193813979625702],\n [0.552385985851288, 0.302568018436432],\n [0.607609987258911, 0.353887975215912],\n [0.645429015159607, 0.696707010269165],\n [0.932694971561432, 0.730105042457581],\n [0.557260990142822, 0.572826027870178],\n [0.542901992797852, 0.584792017936707],\n [0.6180260181427, 0.694710969924927],\n [0.607590973377228, 0.694203019142151],\n [0.722943007946014, 0.271963000297546],\n [0.577413976192474, 0.563166975975037],\n [0.614082992076874, 0.281386971473694],\n [0.616907000541687, 0.255886018276215],\n [0.668509006500244, 0.119913995265961],\n [0.770092010498047, 0.232020974159241],\n [0.635536015033722, 0.189248979091644],\n [0.77039098739624, 0.299556016921997],\n [0.826722025871277, 0.278755009174347],\n [0.527121007442474, 0.666198015213013],\n [0.553171992301941, 0.668527007102966],\n [0.577238023281097, 0.673889994621277],\n [0.554691970348358, 0.580065965652466],\n [0.611896991729736, 0.693961024284363],\n [0.59696102142334, 0.706539988517761],\n [0.596370995044708, 0.693953037261963],\n [0.539958000183105, 0.557139039039612],\n [0.568841993808746, 0.692366003990173],\n [0.547818005084991, 0.692366003990173],\n [0.52461302280426, 0.692366003990173],\n [0.534089982509613, 0.779141008853912],\n [0.527670979499817, 0.736225962638855],\n [0.526912987232208, 0.717857003211975],\n [0.526877999305725, 0.704625964164734],\n [0.526966989040375, 0.695277988910675],\n [0.572058022022247, 0.695277988910675],\n [0.573521018028259, 0.703539967536926],\n [0.57683801651001, 0.711845993995667],\n [0.581691026687622, 0.720062971115112],\n [0.609944999217987, 0.639909982681274],\n [0.986046016216278, 0.560034036636353],\n [0.5867999792099, 0.69539999961853],\n [0.590372025966644, 0.701822996139526],\n [0.531915009021759, 0.601536989212036],\n [0.577268004417419, 0.585934996604919],\n [0.536915004253387, 0.593786001205444],\n [0.627542972564697, 0.473352015018463],\n [0.665585994720459, 0.495950996875763],\n [0.588353991508484, 0.546862006187439],\n [0.757824003696442, 0.14767599105835],\n [0.709249973297119, 0.201507985591888],\n [0.672684013843536, 0.256581008434296],\n [0.600408971309662, 0.74900496006012],\n [0.55826598405838, 0.261672019958496],\n [0.570303976535797, 0.187870979309082],\n [0.588165998458862, 0.109044015407562],\n [0.711045026779175, 0.398952007293701],\n [0.781069993972778, 0.435405015945435],\n [0.587247014045715, 0.398931980133057],\n [0.742869973182678, 0.355445981025696],\n [0.572156012058258, 0.437651991844177],\n [0.55186802148819, 0.536570012569427],\n [0.821442008018494, 0.457556009292603],\n [0.752701997756958, 0.457181990146637],\n [0.71375697851181, 0.467626988887787],\n [0.66711300611496, 0.460672974586487],\n [0.631101012229919, 0.447153985500336],\n [0.6008620262146, 0.432473003864288],\n [0.523481011390686, 0.405627012252808],\n [0.810747981071472, 0.523926019668579],\n [0.771045982837677, 0.348959028720856],\n [0.509127020835876, 0.562718033790588],\n [0.595292985439301, 0.485023975372314],\n [0.980530977249146, 0.401564002037048],\n [0.573499977588654, 0.420000016689301],\n [0.602994978427887, 0.548687994480133],\n [0.733529984951019, 0.376977026462555],\n [0.560611009597778, 0.519016981124878],\n [0.967685997486115, 0.644356966018677],\n [0.580985009670258, 0.387160003185272],\n [0.537728011608124, 0.505385041236877],\n [0.760966002941132, 0.779752969741821],\n [0.801778972148895, 0.831938028335571],\n [0.892440974712372, 0.54076099395752],\n [0.816350996494293, 0.740260004997253],\n [0.865594983100891, 0.333687007427216],\n [0.614073991775513, 0.883246004581451],\n [0.508952975273132, 0.579437971115112],\n [0.617941975593567, 0.508316040039062],\n [0.825608015060425, 0.397674977779388],\n [0.681214988231659, 0.39623498916626],\n [0.656635999679565, 0.400596976280212],\n [0.603900015354156, 0.710216999053955],\n [0.81208598613739, 0.588539004325867],\n [0.56801301240921, 0.944564998149872],\n [0.681007981300354, 0.898285031318665],\n [0.733752012252808, 0.869701027870178],\n [0.633830010890961, 0.398822009563446],\n [0.606792986392975, 0.39553701877594],\n [0.589659988880157, 0.391062021255493],\n [0.805015981197357, 0.342108011245728],\n [0.611334979534149, 0.362284004688263],\n [0.634037971496582, 0.355970978736877],\n [0.656635999679565, 0.355356991291046],\n [0.681214988231659, 0.35834002494812],\n [0.698584973812103, 0.363156020641327],\n [0.941866993904114, 0.319076001644135],\n [0.698584973812103, 0.387449026107788],\n [0.584177017211914, 0.624107003211975],\n [0.554318010807037, 0.566076993942261],\n [0.534153997898102, 0.62064003944397],\n [0.711217999458313, 0.819975018501282],\n [0.664629995822906, 0.852871000766754],\n [0.559099972248077, 0.902631998062134],\n [0.871706008911133, 0.791940987110138],\n [0.591234028339386, 0.373893976211548],\n [0.544341027736664, 0.451583981513977],\n [0.624562978744507, 0.924192011356354],\n [0.88577002286911, 0.615028977394104],\n [0.551338016986847, 0.695277988910675],\n [0.551980018615723, 0.704632043838501],\n [0.552887976169586, 0.715808033943176],\n [0.555167973041534, 0.730794012546539],\n [0.569944024085999, 0.767035007476807],\n [0.593203008174896, 0.685675978660583],\n [0.599261999130249, 0.681069016456604],\n [0.607599973678589, 0.677703022956848],\n [0.631937980651855, 0.663500010967255],\n [0.752032995223999, 0.601315021514893],\n [0.547226011753082, 0.420395016670227],\n [0.563543975353241, 0.359827995300293],\n [0.583841025829315, 0.368713974952698],\n [0.586614012718201, 0.692366003990173],\n [0.771915018558502, 0.683578014373779],\n [0.531597018241882, 0.352482974529266],\n [0.588370978832245, 0.804440975189209],\n [0.52079701423645, 0.442565023899078],\n [0.567984998226166, 0.493479013442993],\n [0.543282985687256, 0.819254994392395],\n [0.655317008495331, 0.745514988899231],\n [0.621008992195129, 0.574018001556396],\n [0.625559985637665, 0.78031200170517],\n [0.680198013782501, 0.570719003677368],\n [0.64276397228241, 0.604337990283966],\n [0.704662978649139, 0.621529996395111],\n [0.552012026309967, 0.862591981887817],\n [0.589071989059448, 0.508637011051178],\n [0.685944974422455, 0.775357007980347],\n [0.645735025405884, 0.812640011310577],\n [0.675342977046967, 0.703978002071381],\n [0.810858011245728, 0.646304965019226],\n [0.72012197971344, 0.714666962623596],\n [0.866151988506317, 0.682704985141754],\n [0.663187026977539, 0.644596993923187],\n [0.570082008838654, 0.466325998306274],\n [0.544561982154846, 0.548375964164734],\n [0.562758982181549, 0.558784961700439],\n [0.531987011432648, 0.530140042304993],\n [0.585271000862122, 0.335177004337311],\n [0.622952997684479, 0.32277899980545],\n [0.655896008014679, 0.320163011550903],\n [0.687132000923157, 0.322345972061157],\n [0.716481983661652, 0.333200991153717],\n [0.758756995201111, 0.382786989212036],\n [0.897013008594513, 0.468769013881683],\n [0.732392013072968, 0.424547016620636],\n [0.70211398601532, 0.433162987232208],\n [0.66652500629425, 0.433866024017334],\n [0.633504986763, 0.426087975502014],\n [0.603875994682312, 0.416586995124817],\n [0.579657971858978, 0.409945011138916],\n [0.992439985275269, 0.480777025222778],\n [0.567192018032074, 0.569419980049133],\n [0.54136598110199, 0.478899002075195],\n [0.526564002037048, 0.546118021011353],\n [0.523913025856018, 0.563830018043518],\n [0.531529009342194, 0.555056989192963],\n [0.566035985946655, 0.582329034805298],\n [0.51631098985672, 0.563053965568542],\n [0.5174720287323, 0.577877044677734],\n [0.573594987392426, 0.389806985855103],\n [0.560697972774506, 0.395331978797913],\n [0.549755990505219, 0.399751007556915],\n [0.710287988185883, 0.368252992630005],\n [0.723330020904541, 0.363372981548309],\n];\n\nexport const TRI468 = [\n 127, 34, 139, 11, 0, 37, 232, 231, 120, 72, 37, 39, 128, 121, 47, 232, 121, 128, 104, 69, 67, 175, 171, 148, 157, 154, 155, 118, 50, 101, 73, 39, 40, 9,\n 151, 108, 48, 115, 131, 194, 204, 211, 74, 40, 185, 80, 42, 183, 40, 92, 186, 230, 229, 118, 202, 212, 214, 83, 18, 17, 76, 61, 146, 160, 29, 30, 56,\n 157, 173, 106, 204, 194, 135, 214, 192, 203, 165, 98, 21, 71, 68, 51, 45, 4, 144, 24, 23, 77, 146, 91, 205, 50, 187, 201, 200, 18, 91, 106, 182, 90, 91,\n 181, 85, 84, 17, 206, 203, 36, 148, 171, 140, 92, 40, 39, 193, 189, 244, 159, 158, 28, 247, 246, 161, 236, 3, 196, 54, 68, 104, 193, 168, 8, 117,\n 228, 31, 189, 193, 55, 98, 97, 99, 126, 47, 100, 166, 79, 218, 155, 154, 26, 209, 49, 131, 135, 136, 150, 47, 126, 217, 223, 52, 53, 45, 51, 134, 211,\n 170, 140, 67, 69, 108, 43, 106, 91, 230, 119, 120, 226, 130, 247, 63, 53, 52, 238, 20, 242, 46, 70, 156, 78, 62, 96, 46, 53, 63, 143, 34, 227, 173,\n 155, 133, 123, 117, 111, 44, 125, 19, 236, 134, 51, 216, 206, 205, 154, 153, 22, 39, 37, 167, 200, 201, 208, 36, 142, 100, 57, 212, 202, 20, 60, 99, 28,\n 158, 157, 35, 226, 113, 160, 159, 27, 204, 202, 210, 113, 225, 46, 43, 202, 204, 62, 76, 77, 137, 123, 116, 41, 38, 72, 203, 129, 142, 64, 98, 240, 49,\n 102, 64, 41, 73, 74, 212, 216, 207, 42, 74, 184, 169, 170, 211, 170, 149, 176, 105, 66, 69, 122, 6, 168, 123, 147, 187, 96, 77, 90, 65, 55, 107, 89,\n 90, 180, 101, 100, 120, 63, 105, 104, 93, 137, 227, 15, 86, 85, 129, 102, 49, 14, 87, 86, 55, 8, 9, 100, 47, 121, 145, 23, 22, 88, 89, 179, 6, 122,\n 196, 88, 95, 96, 138, 172, 136, 215, 58, 172, 115, 48, 219, 42, 80, 81, 195, 3, 51, 43, 146, 61, 171, 175, 199, 81, 82, 38, 53, 46, 225, 144, 163, 110,\n 246, 33, 7, 52, 65, 66, 229, 228, 117, 34, 127, 234, 107, 108, 69, 109, 108, 151, 48, 64, 235, 62, 78, 191, 129, 209, 126, 111, 35, 143, 163, 161, 246,\n 117, 123, 50, 222, 65, 52, 19, 125, 141, 221, 55, 65, 3, 195, 197, 25, 7, 33, 220, 237, 44, 70, 71, 139, 122, 193, 245, 247, 130, 33, 71, 21, 162,\n 153, 158, 159, 170, 169, 150, 188, 174, 196, 216, 186, 92, 144, 160, 161, 2, 97, 167, 141, 125, 241, 164, 167, 37, 72, 38, 12, 145, 159, 160, 38, 82, 13,\n 63, 68, 71, 226, 35, 111, 158, 153, 154, 101, 50, 205, 206, 92, 165, 209, 198, 217, 165, 167, 97, 220, 115, 218, 133, 112, 243, 239, 238, 241, 214,\n 135, 169, 190, 173, 133, 171, 208, 32, 125, 44, 237, 86, 87, 178, 85, 86, 179, 84, 85, 180, 83, 84, 181, 201, 83, 182, 137, 93, 132, 76, 62, 183, 61,\n 76, 184, 57, 61, 185, 212, 57, 186, 214, 207, 187, 34, 143, 156, 79, 239, 237, 123, 137, 177, 44, 1, 4, 201, 194, 32, 64, 102, 129, 213, 215, 138, 59,\n 166, 219, 242, 99, 97, 2, 94, 141, 75, 59, 235, 24, 110, 228, 25, 130, 226, 23, 24, 229, 22, 23, 230, 26, 22, 231, 112, 26, 232, 189, 190, 243, 221, 56,\n 190, 28, 56, 221, 27, 28, 222, 29, 27, 223, 30, 29, 224, 247, 30, 225, 238, 79, 20, 166, 59, 75, 60, 75, 240, 147, 177, 215, 20, 79, 166, 187, 147, 213,\n 112, 233, 244, 233, 128, 245, 128, 114, 188, 114, 217, 174, 131, 115, 220, 217, 198, 236, 198, 131, 134, 177, 132, 58, 143, 35, 124, 110, 163, 7, 228,\n 110, 25, 356, 389, 368, 11, 302, 267, 452, 350, 349, 302, 303, 269, 357, 343, 277, 452, 453, 357, 333, 332, 297, 175, 152, 377, 384, 398, 382, 347,\n 348, 330, 303, 304, 270, 9, 336, 337, 278, 279, 360, 418, 262, 431, 304, 408, 409, 310, 415, 407, 270, 409, 410, 450, 348, 347, 422, 430, 434, 313,\n 314, 17, 306, 307, 375, 387, 388, 260, 286, 414, 398, 335, 406, 418, 364, 367, 416, 423, 358, 327, 251, 284, 298, 281, 5, 4, 373, 374, 253, 307, 320,\n 321, 425, 427, 411, 421, 313, 18, 321, 405, 406, 320, 404, 405, 315, 16, 17, 426, 425, 266, 377, 400, 369, 322, 391, 269, 417, 465, 464, 386, 257, 258,\n 466, 260, 388, 456, 399, 419, 284, 332, 333, 417, 285, 8, 346, 340, 261, 413, 441, 285, 327, 460, 328, 355, 371, 329, 392, 439, 438, 382, 341, 256,\n 429, 420, 360, 364, 394, 379, 277, 343, 437, 443, 444, 283, 275, 440, 363, 431, 262, 369, 297, 338, 337, 273, 375, 321, 450, 451, 349, 446, 342, 467,\n 293, 334, 282, 458, 461, 462, 276, 353, 383, 308, 324, 325, 276, 300, 293, 372, 345, 447, 382, 398, 362, 352, 345, 340, 274, 1, 19, 456, 248, 281, 436,\n 427, 425, 381, 256, 252, 269, 391, 393, 200, 199, 428, 266, 330, 329, 287, 273, 422, 250, 462, 328, 258, 286, 384, 265, 353, 342, 387, 259, 257, 424,\n 431, 430, 342, 353, 276, 273, 335, 424, 292, 325, 307, 366, 447, 345, 271, 303, 302, 423, 266, 371, 294, 455, 460, 279, 278, 294, 271, 272, 304, 432,\n 434, 427, 272, 407, 408, 394, 430, 431, 395, 369, 400, 334, 333, 299, 351, 417, 168, 352, 280, 411, 325, 319, 320, 295, 296, 336, 319, 403, 404, 330,\n 348, 349, 293, 298, 333, 323, 454, 447, 15, 16, 315, 358, 429, 279, 14, 15, 316, 285, 336, 9, 329, 349, 350, 374, 380, 252, 318, 402, 403, 6, 197, 419,\n 318, 319, 325, 367, 364, 365, 435, 367, 397, 344, 438, 439, 272, 271, 311, 195, 5, 281, 273, 287, 291, 396, 428, 199, 311, 271, 268, 283, 444, 445,\n 373, 254, 339, 263, 466, 249, 282, 334, 296, 449, 347, 346, 264, 447, 454, 336, 296, 299, 338, 10, 151, 278, 439, 455, 292, 407, 415, 358, 371, 355,\n 340, 345, 372, 390, 249, 466, 346, 347, 280, 442, 443, 282, 19, 94, 370, 441, 442, 295, 248, 419, 197, 263, 255, 359, 440, 275, 274, 300, 383, 368,\n 351, 412, 465, 263, 467, 466, 301, 368, 389, 380, 374, 386, 395, 378, 379, 412, 351, 419, 436, 426, 322, 373, 390, 388, 2, 164, 393, 370, 462, 461,\n 164, 0, 267, 302, 11, 12, 374, 373, 387, 268, 12, 13, 293, 300, 301, 446, 261, 340, 385, 384, 381, 330, 266, 425, 426, 423, 391, 429, 355, 437, 391,\n 327, 326, 440, 457, 438, 341, 382, 362, 459, 457, 461, 434, 430, 394, 414, 463, 362, 396, 369, 262, 354, 461, 457, 316, 403, 402, 315, 404, 403, 314,\n 405, 404, 313, 406, 405, 421, 418, 406, 366, 401, 361, 306, 408, 407, 291, 409, 408, 287, 410, 409, 432, 436, 410, 434, 416, 411, 264, 368, 383, 309,\n 438, 457, 352, 376, 401, 274, 275, 4, 421, 428, 262, 294, 327, 358, 433, 416, 367, 289, 455, 439, 462, 370, 326, 2, 326, 370, 305, 460, 455, 254,\n 449, 448, 255, 261, 446, 253, 450, 449, 252, 451, 450, 256, 452, 451, 341, 453, 452, 413, 464, 463, 441, 413, 414, 258, 442, 441, 257, 443, 442, 259,\n 444, 443, 260, 445, 444, 467, 342, 445, 459, 458, 250, 289, 392, 290, 290, 328, 460, 376, 433, 435, 250, 290, 392, 411, 416, 433, 341, 463, 464, 453,\n 464, 465, 357, 465, 412, 343, 412, 399, 360, 363, 440, 437, 399, 456, 420, 456, 363, 401, 435, 288, 372, 383, 353, 339, 255, 249, 448, 261, 255, 133,\n 243, 190, 133, 155, 112, 33, 246, 247, 33, 130, 25, 398, 384, 286, 362, 398, 414, 362, 463, 341, 263, 359, 467, 263, 249, 255, 466, 467, 260, 75, 60,\n 166, 238, 239, 79, 162, 127, 139, 72, 11, 37, 121, 232, 120, 73, 72, 39, 114, 128, 47, 233, 232, 128, 103, 104, 67, 152, 175, 148, 173, 157, 155,\n 119, 118, 101, 74, 73, 40, 107, 9, 108, 49, 48, 131, 32, 194, 211, 184, 74, 185, 191, 80, 183, 185, 40, 186, 119, 230, 118, 210, 202, 214, 84, 83, 17,\n 77, 76, 146, 161, 160, 30, 190, 56, 173, 182, 106, 194, 138, 135, 192, 129, 203, 98, 54, 21, 68, 5, 51, 4, 145, 144, 23, 90, 77, 91, 207, 205, 187, 83,\n 201, 18, 181, 91, 182, 180, 90, 181, 16, 85, 17, 205, 206, 36, 176, 148, 140, 165, 92, 39, 245, 193, 244, 27, 159, 28, 30, 247, 161, 174, 236, 196,\n 103, 54, 104, 55, 193, 8, 111, 117, 31, 221, 189, 55, 240, 98, 99, 142, 126, 100, 219, 166, 218, 112, 155, 26, 198, 209, 131, 169, 135, 150, 114, 47,\n 217, 224, 223, 53, 220, 45, 134, 32, 211, 140, 109, 67, 108, 146, 43, 91, 231, 230, 120, 113, 226, 247, 105, 63, 52, 241, 238, 242, 124, 46, 156, 95,\n 78, 96, 70, 46, 63, 116, 143, 227, 116, 123, 111, 1, 44, 19, 3, 236, 51, 207, 216, 205, 26, 154, 22, 165, 39, 167, 199, 200, 208, 101, 36, 100, 43,\n 57, 202, 242, 20, 99, 56, 28, 157, 124, 35, 113, 29, 160, 27, 211, 204, 210, 124, 113, 46, 106, 43, 204, 96, 62, 77, 227, 137, 116, 73, 41, 72, 36, 203,\n 142, 235, 64, 240, 48, 49, 64, 42, 41, 74, 214, 212, 207, 183, 42, 184, 210, 169, 211, 140, 170, 176, 104, 105, 69, 193, 122, 168, 50, 123, 187, 89, 96,\n 90, 66, 65, 107, 179, 89, 180, 119, 101, 120, 68, 63, 104, 234, 93, 227, 16, 15, 85, 209, 129, 49, 15, 14, 86, 107, 55, 9, 120, 100, 121, 153, 145, 22,\n 178, 88, 179, 197, 6, 196, 89, 88, 96, 135, 138, 136, 138, 215, 172, 218, 115, 219, 41, 42, 81, 5, 195, 51, 57, 43, 61, 208, 171, 199, 41, 81, 38,\n 224, 53, 225, 24, 144, 110, 105, 52, 66, 118, 229, 117, 227, 34, 234, 66, 107, 69, 10, 109, 151, 219, 48, 235, 183, 62, 191, 142, 129, 126, 116, 111,\n 143, 7, 163, 246, 118, 117, 50, 223, 222, 52, 94, 19, 141, 222, 221, 65, 196, 3, 197, 45, 220, 44, 156, 70, 139, 188, 122, 245, 139, 71, 162, 145,\n 153, 159, 149, 170, 150, 122, 188, 196, 206, 216, 92, 163, 144, 161, 164, 2, 167, 242, 141, 241, 0, 164, 37, 11, 72, 12, 144, 145, 160, 12, 38, 13, 70,\n 63, 71, 31, 226, 111, 157, 158, 154, 36, 101, 205, 203, 206, 165, 126, 209, 217, 98, 165, 97, 237, 220, 218, 237, 239, 241, 210, 214, 169, 140, 171, 32,\n 241, 125, 237, 179, 86, 178, 180, 85, 179, 181, 84, 180, 182, 83, 181, 194, 201, 182, 177, 137, 132, 184, 76, 183, 185, 61, 184, 186, 57, 185, 216, 212,\n 186, 192, 214, 187, 139, 34, 156, 218, 79, 237, 147, 123, 177, 45, 44, 4, 208, 201, 32, 98, 64, 129, 192, 213, 138, 235, 59, 219, 141, 242, 97, 97, 2,\n 141, 240, 75, 235, 229, 24, 228, 31, 25, 226, 230, 23, 229, 231, 22, 230, 232, 26, 231, 233, 112, 232, 244, 189, 243, 189, 221, 190, 222, 28, 221,\n 223, 27, 222, 224, 29, 223, 225, 30, 224, 113, 247, 225, 99, 60, 240, 213, 147, 215, 60, 20, 166, 192, 187, 213, 243, 112, 244, 244, 233, 245, 245,\n 128, 188, 188, 114, 174, 134, 131, 220, 174, 217, 236, 236, 198, 134, 215, 177, 58, 156, 143, 124, 25, 110, 7, 31, 228, 25, 264, 356, 368, 0, 11, 267,\n 451, 452, 349, 267, 302, 269, 350, 357, 277, 350, 452, 357, 299, 333, 297, 396, 175, 377, 381, 384, 382, 280, 347, 330, 269, 303, 270, 151, 9, 337,\n 344, 278, 360, 424, 418, 431, 270, 304, 409, 272, 310, 407, 322, 270, 410, 449, 450, 347, 432, 422, 434, 18, 313, 17, 291, 306, 375, 259, 387, 260,\n 424, 335, 418, 434, 364, 416, 391, 423, 327, 301, 251, 298, 275, 281, 4, 254, 373, 253, 375, 307, 321, 280, 425, 411, 200, 421, 18, 335, 321, 406,\n 321, 320, 405, 314, 315, 17, 423, 426, 266, 396, 377, 369, 270, 322, 269, 413, 417, 464, 385, 386, 258, 248, 456, 419, 298, 284, 333, 168, 417, 8,\n 448, 346, 261, 417, 413, 285, 326, 327, 328, 277, 355, 329, 309, 392, 438, 381, 382, 256, 279, 429, 360, 365, 364, 379, 355, 277, 437, 282, 443, 283,\n 281, 275, 363, 395, 431, 369, 299, 297, 337, 335, 273, 321, 348, 450, 349, 359, 446, 467, 283, 293, 282, 250, 458, 462, 300, 276, 383, 292, 308, 325,\n 283, 276, 293, 264, 372, 447, 346, 352, 340, 354, 274, 19, 363, 456, 281, 426, 436, 425, 380, 381, 252, 267, 269, 393, 421, 200, 428, 371, 266, 329,\n 432, 287, 422, 290, 250, 328, 385, 258, 384, 446, 265, 342, 386, 387, 257, 422, 424, 430, 445, 342, 276, 422, 273, 424, 306, 292, 307, 352, 366, 345,\n 268, 271, 302, 358, 423, 371, 327, 294, 460, 331, 279, 294, 303, 271, 304, 436, 432, 427, 304, 272, 408, 395, 394, 431, 378, 395, 400, 296, 334, 299,\n 6, 351, 168, 376, 352, 411, 307, 325, 320, 285, 295, 336, 320, 319, 404, 329, 330, 349, 334, 293, 333, 366, 323, 447, 316, 15, 315, 331, 358, 279,\n 317, 14, 316, 8, 285, 9, 277, 329, 350, 253, 374, 252, 319, 318, 403, 351, 6, 419, 324, 318, 325, 397, 367, 365, 288, 435, 397, 278, 344, 439, 310,\n 272, 311, 248, 195, 281, 375, 273, 291, 175, 396, 199, 312, 311, 268, 276, 283, 445, 390, 373, 339, 295, 282, 296, 448, 449, 346, 356, 264, 454, 337,\n 336, 299, 337, 338, 151, 294, 278, 455, 308, 292, 415, 429, 358, 355, 265, 340, 372, 388, 390, 466, 352, 346, 280, 295, 442, 282, 354, 19, 370, 285,\n 441, 295, 195, 248, 197, 457, 440, 274, 301, 300, 368, 417, 351, 465, 251, 301, 389, 385, 380, 386, 394, 395, 379, 399, 412, 419, 410, 436, 322, 387,\n 373, 388, 326, 2, 393, 354, 370, 461, 393, 164, 267, 268, 302, 12, 386, 374, 387, 312, 268, 13, 298, 293, 301, 265, 446, 340, 380, 385, 381, 280, 330,\n 425, 322, 426, 391, 420, 429, 437, 393, 391, 326, 344, 440, 438, 458, 459, 461, 364, 434, 394, 428, 396, 262, 274, 354, 457, 317, 316, 402, 316, 315,\n 403, 315, 314, 404, 314, 313, 405, 313, 421, 406, 323, 366, 361, 292, 306, 407, 306, 291, 408, 291, 287, 409, 287, 432, 410, 427, 434, 411, 372, 264,\n 383, 459, 309, 457, 366, 352, 401, 1, 274, 4, 418, 421, 262, 331, 294, 358, 435, 433, 367, 392, 289, 439, 328, 462, 326, 94, 2, 370, 289, 305, 455, 339,\n 254, 448, 359, 255, 446, 254, 253, 449, 253, 252, 450, 252, 256, 451, 256, 341, 452, 414, 413, 463, 286, 441, 414, 286, 258, 441, 258, 257, 442, 257,\n 259, 443, 259, 260, 444, 260, 467, 445, 309, 459, 250, 305, 289, 290, 305, 290, 460, 401, 376, 435, 309, 250, 392, 376, 411, 433, 453, 341, 464, 357,\n 453, 465, 343, 357, 412, 437, 343, 399, 344, 360, 440, 420, 437, 456, 360, 420, 363, 361, 401, 288, 265, 372, 353, 390, 339, 249, 339, 448, 255];\n\nexport const TRI68 = [0, 1, 36, 0, 36, 17, 1, 2, 41, 1, 41, 36, 2, 3, 31, 2, 31, 41, 3, 4, 48, 3, 48, 31, 4, 5, 48, 5, 6, 48, 6, 7, 59, 6, 59, 48, 7, 8, 58, 7, 58, 59,\n 8, 9, 56, 8, 56, 57, 8, 57, 58, 9, 10, 55, 9, 55, 56, 10, 11, 54, 10, 54, 55, 11, 12, 54, 12, 13, 54, 13, 14, 35, 13, 35, 54, 14, 15, 46, 14, 46, 35, 15, 16,\n 45, 15, 45, 46, 16, 26, 45, 17, 36, 18, 18, 37, 19, 18, 36, 37, 19, 38, 20, 19, 37, 38, 20, 39, 21, 20, 38, 39, 21, 39, 27, 22, 42, 23, 22, 27, 42, 23, 43, 24,\n 23, 42, 43, 24, 44, 25, 24, 43, 44, 25, 45, 26, 25, 44, 45, 27, 39, 28, 27, 28, 42, 28, 39, 29, 28, 29, 42, 29, 31, 30, 29, 30, 35, 29, 40, 31, 29, 35, 47, 29,\n 39, 40, 29, 47, 42, 30, 31, 32, 30, 32, 33, 30, 33, 34, 30, 34, 35, 31, 50, 32, 31, 40, 41, 31, 48, 49, 31, 49, 50, 32, 51, 33, 32, 50, 51, 33, 51, 34, 34, 52,\n 35, 34, 51, 52, 35, 46, 47, 35, 52, 53, 35, 53, 54, 36, 41, 37, 37, 40, 38, 37, 41, 40, 38, 40, 39, 42, 47, 43, 43, 47, 44, 44, 46, 45, 44, 47, 46, 48, 60, 49,\n 48, 59, 60, 49, 61, 50, 49, 60, 61, 50, 62, 51, 50, 61, 62, 51, 62, 52, 52, 63, 53, 52, 62, 63, 53, 64, 54, 53, 63, 64, 54, 64, 55, 55, 65, 56, 55, 64, 65, 56,\n 66, 57, 56, 65, 66, 57, 66, 58, 58, 67, 59, 58, 66, 67, 59, 67, 60, 60, 67, 61, 61, 66, 62, 61, 67, 66, 62, 66, 63, 63, 65, 64, 63, 66, 65, 21, 27, 22];\n\nexport const TRI33 = [\n /* eyes */ 0, 8, 7, 7, 8, 1, 2, 10, 9, 9, 10, 3,\n /* brows */ 17, 0, 18, 18, 0, 7, 18, 7, 19, 19, 7, 1, 19, 1, 11, 19, 11, 20, 21, 3, 22, 21, 9, 3, 20, 9, 21, 20, 2, 9, 20, 11, 2,\n /* 4head */ 23, 17, 18, 25, 21, 22, 24, 19, 20, 24, 18, 19, 24, 20, 21, 24, 23, 18, 24, 21, 25,\n /* nose */ 11, 12, 4, 11, 4, 13, 1, 12, 11, 11, 13, 2, 12, 14, 4, 4, 14, 13,\n /* up-lip */ 14, 5, 15, 14, 15, 6, 12, 5, 14, 14, 6, 13,\n /* cheeks */ 8, 12, 1, 2, 13, 10, 8, 26, 12, 10, 13, 27, 26, 5, 12, 13, 6, 27, 0, 26, 8, 10, 27, 3,\n /* chin */ 5, 32, 16, 16, 32, 6, 5, 30, 32, 6, 32, 31,\n /* cont */ 26, 30, 5, 27, 6, 31, 0, 28, 26, 3, 27, 29, 17, 28, 0, 3, 29, 22, 23, 28, 17, 22, 29, 25, 28, 30, 26, 27, 31, 29,\n];\n\nexport const TRI7 = [0, 4, 1, 2, 4, 3, 4, 5, 6];\n\nexport const VTX68 = [\n /* cont */ 127, 234, 132, 58, 172, 150, 149, 148, 152, 377, 378, 379, 397, 288, 361, 454, 356,\n /* brows */ 70, 63, 105, 66, 107, 336, 296, 334, 293, 300,\n /* nose */ 168, 6, 195, 4, 98, 97, 2, 326, 327,\n /* eyes */ 33, 160, 158, 133, 153, 144, 362, 385, 387, 263, 373, 380,\n /* lip */ 57, 40, 37, 0, 267, 270, 287, 321, 314, 17, 84, 91,\n /* mouth */ 78, 81, 13, 311, 308, 402, 14, 178,\n];\n\nexport const VTX33 = [33, 133, 362, 263, 1, 62, 308, 159, 145, 386, 374, 6, 102, 331, 2, 13, 14, 70, 105, 107, 336, 334, 300, 54, 10, 284, 50, 280, 234, 454, 58, 288, 152];\n\nexport const VTX7 = [33, 133, 362, 263, 1, 78, 308];\n\nexport const UV68 = VTX68.map((x) => UV468[x]);\n\nexport const UV33 = VTX33.map((x) => UV468[x]);\n\nexport const UV7 = VTX7.map((x) => UV468[x]);\n", "/* eslint-disable class-methods-use-this */\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as bounding from './box';\nimport * as util from './util';\nimport * as coords from './coords';\n\nconst LANDMARKS_COUNT = 468;\nconst MESH_MOUTH_INDEX = 13;\nconst MESH_KEYPOINTS_LINE_OF_SYMMETRY_INDICES = [MESH_MOUTH_INDEX, coords.MESH_ANNOTATIONS['midwayBetweenEyes'][0]];\nconst BLAZEFACE_MOUTH_INDEX = 3;\nconst BLAZEFACE_NOSE_INDEX = 2;\nconst BLAZEFACE_KEYPOINTS_LINE_OF_SYMMETRY_INDICES = [BLAZEFACE_MOUTH_INDEX, BLAZEFACE_NOSE_INDEX];\nconst LEFT_EYE_OUTLINE = coords.MESH_ANNOTATIONS['leftEyeLower0'];\nconst LEFT_EYE_BOUNDS = [LEFT_EYE_OUTLINE[0], LEFT_EYE_OUTLINE[LEFT_EYE_OUTLINE.length - 1]];\nconst RIGHT_EYE_OUTLINE = coords.MESH_ANNOTATIONS['rightEyeLower0'];\nconst RIGHT_EYE_BOUNDS = [RIGHT_EYE_OUTLINE[0], RIGHT_EYE_OUTLINE[RIGHT_EYE_OUTLINE.length - 1]];\nconst IRIS_UPPER_CENTER_INDEX = 3;\nconst IRIS_LOWER_CENTER_INDEX = 4;\nconst IRIS_IRIS_INDEX = 71;\nconst IRIS_NUM_COORDINATES = 76;\n\n// Replace the raw coordinates returned by facemesh with refined iris model coordinates. Update the z coordinate to be an average of the original and the new. This produces the best visual effect.\nfunction replaceRawCoordinates(rawCoords, newCoords, prefix, keys = null) {\n for (let i = 0; i < coords.MESH_TO_IRIS_INDICES_MAP.length; i++) {\n const { key, indices } = coords.MESH_TO_IRIS_INDICES_MAP[i];\n const originalIndices = coords.MESH_ANNOTATIONS[`${prefix}${key}`];\n // @ts-ignore\n if (!keys || keys.includes(key)) {\n for (let j = 0; j < indices.length; j++) {\n const index = indices[j];\n rawCoords[originalIndices[j]] = [\n newCoords[index][0], newCoords[index][1],\n (newCoords[index][2] + rawCoords[originalIndices[j]][2]) / 2,\n ];\n }\n }\n }\n}\n// The Pipeline coordinates between the bounding box and skeleton models.\nexport class Pipeline {\n storedBoxes: any;\n runsWithoutFaceDetector: number;\n boundingBoxDetector: any;\n meshDetector: any;\n irisModel: any;\n meshWidth: number;\n meshHeight: number;\n irisSize: number;\n irisEnlarge: number;\n skipped: number;\n detectedFaces: number;\n\n constructor(boundingBoxDetector, meshDetector, irisModel, config) {\n // An array of facial bounding boxes.\n this.storedBoxes = [];\n this.runsWithoutFaceDetector = 0;\n this.boundingBoxDetector = boundingBoxDetector;\n this.meshDetector = meshDetector;\n this.irisModel = irisModel;\n this.meshWidth = config.face.mesh.inputSize;\n this.meshHeight = config.face.mesh.inputSize;\n this.irisSize = config.face.iris.inputSize;\n this.irisEnlarge = 2.3;\n this.skipped = 0;\n this.detectedFaces = 0;\n }\n\n transformRawCoords(rawCoords, box, angle, rotationMatrix) {\n const boxSize = bounding.getBoxSize({ startPoint: box.startPoint, endPoint: box.endPoint });\n const scaleFactor = [boxSize[0] / this.meshWidth, boxSize[1] / this.meshHeight];\n const coordsScaled = rawCoords.map((coord) => ([\n scaleFactor[0] * (coord[0] - this.meshWidth / 2),\n scaleFactor[1] * (coord[1] - this.meshHeight / 2), coord[2],\n ]));\n const coordsRotationMatrix = (angle !== 0) ? util.buildRotationMatrix(angle, [0, 0]) : util.IDENTITY_MATRIX;\n const coordsRotated = (angle !== 0) ? coordsScaled.map((coord) => ([...util.rotatePoint(coord, coordsRotationMatrix), coord[2]])) : coordsScaled;\n const inverseRotationMatrix = (angle !== 0) ? util.invertTransformMatrix(rotationMatrix) : util.IDENTITY_MATRIX;\n const boxCenter = [...bounding.getBoxCenter({ startPoint: box.startPoint, endPoint: box.endPoint }), 1];\n return coordsRotated.map((coord) => ([\n coord[0] + util.dot(boxCenter, inverseRotationMatrix[0]),\n coord[1] + util.dot(boxCenter, inverseRotationMatrix[1]),\n coord[2],\n ]));\n }\n\n getLeftToRightEyeDepthDifference(rawCoords) {\n const leftEyeZ = rawCoords[LEFT_EYE_BOUNDS[0]][2];\n const rightEyeZ = rawCoords[RIGHT_EYE_BOUNDS[0]][2];\n return leftEyeZ - rightEyeZ;\n }\n\n // Returns a box describing a cropped region around the eye fit for passing to the iris model.\n getEyeBox(rawCoords, face, eyeInnerCornerIndex, eyeOuterCornerIndex, flip = false) {\n const box = bounding.squarifyBox(bounding.enlargeBox(this.calculateLandmarksBoundingBox([rawCoords[eyeInnerCornerIndex], rawCoords[eyeOuterCornerIndex]]), this.irisEnlarge));\n const boxSize = bounding.getBoxSize(box);\n let crop = tf.image.cropAndResize(face, [[\n box.startPoint[1] / this.meshHeight,\n box.startPoint[0] / this.meshWidth, box.endPoint[1] / this.meshHeight,\n box.endPoint[0] / this.meshWidth,\n ]], [0], [this.irisSize, this.irisSize]);\n if (flip) {\n crop = tf.image.flipLeftRight(crop);\n }\n return { box, boxSize, crop };\n }\n\n // Given a cropped image of an eye, returns the coordinates of the contours surrounding the eye and the iris.\n getEyeCoords(eyeData, eyeBox, eyeBoxSize, flip = false) {\n const eyeRawCoords: Array = [];\n for (let i = 0; i < IRIS_NUM_COORDINATES; i++) {\n const x = eyeData[i * 3];\n const y = eyeData[i * 3 + 1];\n const z = eyeData[i * 3 + 2];\n eyeRawCoords.push([\n (flip ? (1 - (x / this.irisSize)) : (x / this.irisSize)) * eyeBoxSize[0] + eyeBox.startPoint[0],\n (y / this.irisSize) * eyeBoxSize[1] + eyeBox.startPoint[1], z,\n ]);\n }\n return { rawCoords: eyeRawCoords, iris: eyeRawCoords.slice(IRIS_IRIS_INDEX) };\n }\n\n // The z-coordinates returned for the iris are unreliable, so we take the z values from the surrounding keypoints.\n getAdjustedIrisCoords(rawCoords, irisCoords, direction) {\n const upperCenterZ = rawCoords[coords.MESH_ANNOTATIONS[`${direction}EyeUpper0`][IRIS_UPPER_CENTER_INDEX]][2];\n const lowerCenterZ = rawCoords[coords.MESH_ANNOTATIONS[`${direction}EyeLower0`][IRIS_LOWER_CENTER_INDEX]][2];\n const averageZ = (upperCenterZ + lowerCenterZ) / 2;\n // Iris indices: 0: center | 1: right | 2: above | 3: left | 4: below\n return irisCoords.map((coord, i) => {\n let z = averageZ;\n if (i === 2) {\n z = upperCenterZ;\n } else if (i === 4) {\n z = lowerCenterZ;\n }\n return [coord[0], coord[1], z];\n });\n }\n\n async predict(input, config) {\n let useFreshBox = false;\n // run new detector every skipFrames unless we only want box to start with\n let detector;\n if ((this.skipped === 0) || (this.skipped > config.face.detector.skipFrames) || !config.face.mesh.enabled || !config.videoOptimized) {\n detector = await this.boundingBoxDetector.getBoundingBoxes(input);\n this.skipped = 0;\n }\n if (config.videoOptimized) this.skipped++;\n\n // if detector result count doesn't match current working set, use it to reset current working set\n if (detector && detector.boxes && (!config.face.mesh.enabled || (detector.boxes.length !== this.detectedFaces) && (this.detectedFaces !== config.face.detector.maxFaces))) {\n this.storedBoxes = [];\n this.detectedFaces = 0;\n for (const possible of detector.boxes) {\n this.storedBoxes.push({ startPoint: possible.box.startPoint.dataSync(), endPoint: possible.box.endPoint.dataSync(), landmarks: possible.landmarks, confidence: possible.confidence });\n }\n if (this.storedBoxes.length > 0) useFreshBox = true;\n }\n\n if (useFreshBox) {\n if (!detector || !detector.boxes || (detector.boxes.length === 0)) {\n this.storedBoxes = [];\n this.detectedFaces = 0;\n return null;\n }\n for (let i = 0; i < this.storedBoxes.length; i++) {\n const scaledBox = bounding.scaleBoxCoordinates({ startPoint: this.storedBoxes[i].startPoint, endPoint: this.storedBoxes[i].endPoint }, detector.scaleFactor);\n const enlargedBox = bounding.enlargeBox(scaledBox);\n const squarifiedBox = bounding.squarifyBox(enlargedBox);\n const landmarks = this.storedBoxes[i].landmarks.arraySync();\n const confidence = this.storedBoxes[i].confidence;\n this.storedBoxes[i] = { ...squarifiedBox, confidence, landmarks };\n }\n this.runsWithoutFaceDetector = 0;\n }\n if (detector && detector.boxes) {\n detector.boxes.forEach((prediction) => {\n prediction.box.startPoint.dispose();\n prediction.box.endPoint.dispose();\n prediction.landmarks.dispose();\n });\n }\n\n // log('face', `skipped: ${this.skipped} max: ${config.face.detector.maxFaces} detected: ${this.detectedFaces} stored: ${this.storedBoxes.length} new: ${detector?.boxes?.length}`);\n let results = tf.tidy(() => this.storedBoxes.map((box, i) => {\n // The facial bounding box landmarks could come either from blazeface (if we are using a fresh box), or from the mesh model (if we are reusing an old box).\n let face;\n let angle = 0;\n let rotationMatrix;\n if (config.face.detector.rotation) {\n const [indexOfMouth, indexOfForehead] = (box.landmarks.length >= LANDMARKS_COUNT) ? MESH_KEYPOINTS_LINE_OF_SYMMETRY_INDICES : BLAZEFACE_KEYPOINTS_LINE_OF_SYMMETRY_INDICES;\n angle = util.computeRotation(box.landmarks[indexOfMouth], box.landmarks[indexOfForehead]);\n const faceCenter = bounding.getBoxCenter({ startPoint: box.startPoint, endPoint: box.endPoint });\n const faceCenterNormalized = [faceCenter[0] / input.shape[2], faceCenter[1] / input.shape[1]];\n const rotatedImage = tf.image.rotateWithOffset(input, angle, 0, faceCenterNormalized);\n rotationMatrix = util.buildRotationMatrix(-angle, faceCenter);\n face = bounding.cutBoxFromImageAndResize({ startPoint: box.startPoint, endPoint: box.endPoint }, rotatedImage, [this.meshHeight, this.meshWidth]).div(255);\n } else {\n rotationMatrix = util.IDENTITY_MATRIX;\n const cloned = input.clone();\n face = bounding.cutBoxFromImageAndResize({ startPoint: box.startPoint, endPoint: box.endPoint }, cloned, [this.meshHeight, this.meshWidth]).div(255);\n }\n\n // if we're not going to produce mesh, don't spend time with further processing\n if (!config.face.mesh.enabled) {\n const prediction = {\n coords: null,\n box,\n faceConfidence: null,\n confidence: box.confidence,\n image: face,\n };\n return prediction;\n }\n\n const [, confidence, contourCoords] = this.meshDetector.predict(face); // The first returned tensor represents facial contours, which are included in the coordinates.\n const faceConfidence = confidence.dataSync()[0];\n if (faceConfidence < config.face.detector.minConfidence) return null; // if below confidence just exit\n const coordsReshaped = tf.reshape(contourCoords, [-1, 3]);\n let rawCoords = coordsReshaped.arraySync();\n\n if (config.face.iris.enabled) {\n const { box: leftEyeBox, boxSize: leftEyeBoxSize, crop: leftEyeCrop } = this.getEyeBox(rawCoords, face, LEFT_EYE_BOUNDS[0], LEFT_EYE_BOUNDS[1], true);\n const { box: rightEyeBox, boxSize: rightEyeBoxSize, crop: rightEyeCrop } = this.getEyeBox(rawCoords, face, RIGHT_EYE_BOUNDS[0], RIGHT_EYE_BOUNDS[1]);\n const eyePredictions = this.irisModel.predict(tf.concat([leftEyeCrop, rightEyeCrop]));\n const eyePredictionsData = eyePredictions.dataSync();\n const leftEyeData = eyePredictionsData.slice(0, IRIS_NUM_COORDINATES * 3);\n const { rawCoords: leftEyeRawCoords, iris: leftIrisRawCoords } = this.getEyeCoords(leftEyeData, leftEyeBox, leftEyeBoxSize, true);\n const rightEyeData = eyePredictionsData.slice(IRIS_NUM_COORDINATES * 3);\n const { rawCoords: rightEyeRawCoords, iris: rightIrisRawCoords } = this.getEyeCoords(rightEyeData, rightEyeBox, rightEyeBoxSize);\n const leftToRightEyeDepthDifference = this.getLeftToRightEyeDepthDifference(rawCoords);\n if (Math.abs(leftToRightEyeDepthDifference) < 30) { // User is looking straight ahead.\n replaceRawCoordinates(rawCoords, leftEyeRawCoords, 'left');\n replaceRawCoordinates(rawCoords, rightEyeRawCoords, 'right');\n // If the user is looking to the left or to the right, the iris coordinates tend to diverge too much from the mesh coordinates for them to be merged. So we only update a single contour line above and below the eye.\n } else if (leftToRightEyeDepthDifference < 1) { // User is looking towards the right.\n // @ts-ignore\n replaceRawCoordinates(rawCoords, leftEyeRawCoords, 'left', ['EyeUpper0', 'EyeLower0']);\n } else { // User is looking towards the left.\n // @ts-ignore\n replaceRawCoordinates(rawCoords, rightEyeRawCoords, 'right', ['EyeUpper0', 'EyeLower0']);\n }\n const adjustedLeftIrisCoords = this.getAdjustedIrisCoords(rawCoords, leftIrisRawCoords, 'left');\n const adjustedRightIrisCoords = this.getAdjustedIrisCoords(rawCoords, rightIrisRawCoords, 'right');\n rawCoords = rawCoords.concat(adjustedLeftIrisCoords).concat(adjustedRightIrisCoords);\n }\n\n const transformedCoordsData = this.transformRawCoords(rawCoords, box, angle, rotationMatrix);\n const landmarksBox = bounding.enlargeBox(this.calculateLandmarksBoundingBox(transformedCoordsData));\n const squarifiedLandmarksBox = bounding.squarifyBox(landmarksBox);\n const transformedCoords = tf.tensor2d(transformedCoordsData);\n const prediction = {\n coords: transformedCoords,\n box: landmarksBox,\n faceConfidence,\n confidence: box.confidence,\n image: face,\n rawCoords,\n };\n if (!config.face.mesh.returnRawData) delete prediction.rawCoords;\n this.storedBoxes[i] = { ...squarifiedLandmarksBox, landmarks: transformedCoords.arraySync(), confidence: box.confidence, faceConfidence };\n\n return prediction;\n }));\n results = results.filter((a) => a !== null);\n this.detectedFaces = results.length;\n return results;\n }\n\n calculateLandmarksBoundingBox(landmarks) {\n const xs = landmarks.map((d) => d[0]);\n const ys = landmarks.map((d) => d[1]);\n const startPoint = [Math.min(...xs), Math.min(...ys)];\n const endPoint = [Math.max(...xs), Math.max(...ys)];\n return { startPoint, endPoint, landmarks };\n }\n}\n", "import { log } from './log';\nimport * as tf from '../dist/tfjs.esm.js';\nimport * as backend from './tfjs/backend';\nimport * as facemesh from './blazeface/facemesh';\nimport * as faceboxes from './faceboxes/faceboxes';\nimport * as age from './age/age';\nimport * as gender from './gender/gender';\nimport * as emotion from './emotion/emotion';\nimport * as embedding from './embedding/embedding';\nimport * as posenet from './posenet/posenet';\nimport * as handpose from './handpose/handpose';\nimport * as gesture from './gesture/gesture';\nimport * as image from './image';\nimport * as profile from './profile';\nimport * as config from '../config';\nimport * as sample from './sample';\nimport * as app from '../package.json';\n\n// helper function: gets elapsed time on both browser and nodejs\nconst now = () => {\n if (typeof performance !== 'undefined') return performance.now();\n return parseInt((Number(process.hrtime.bigint()) / 1000 / 1000).toString());\n};\n\n// helper function: perform deep merge of multiple objects so it allows full inheriance with overrides\nfunction mergeDeep(...objects) {\n const isObject = (obj) => obj && typeof obj === 'object';\n return objects.reduce((prev, obj) => {\n Object.keys(obj || {}).forEach((key) => {\n const pVal = prev[key];\n const oVal = obj[key];\n if (Array.isArray(pVal) && Array.isArray(oVal)) {\n prev[key] = pVal.concat(...oVal);\n } else if (isObject(pVal) && isObject(oVal)) {\n prev[key] = mergeDeep(pVal, oVal);\n } else {\n prev[key] = oVal;\n }\n });\n return prev;\n }, {});\n}\n\nclass Human {\n tf: any;\n package: any;\n version: string;\n config: any;\n fx: any;\n state: string;\n numTensors: number;\n analyzeMemoryLeaks: boolean;\n checkSanity: boolean;\n firstRun: boolean;\n perf: any;\n models: any;\n // models\n facemesh: any;\n age: any;\n gender: any;\n emotion: any;\n body: any;\n hand: any;\n\n constructor(userConfig = {}) {\n this.tf = tf;\n this.package = app;\n this.version = app.version;\n this.config = mergeDeep(config.default, userConfig);\n this.fx = null;\n this.state = 'idle';\n this.numTensors = 0;\n this.analyzeMemoryLeaks = false;\n this.checkSanity = false;\n this.firstRun = true;\n this.perf = {};\n // object that contains all initialized models\n this.models = {\n facemesh: null,\n posenet: null,\n handpose: null,\n iris: null,\n age: null,\n gender: null,\n emotion: null,\n };\n // export raw access to underlying models\n this.facemesh = facemesh;\n this.age = age;\n this.gender = gender;\n this.emotion = emotion;\n this.body = posenet;\n this.hand = handpose;\n }\n\n profile() {\n if (this.config.profile) return profile.data;\n return {};\n }\n\n // helper function: measure tensor leak\n analyze(...msg) {\n if (!this.analyzeMemoryLeaks) return;\n const current = this.tf.engine().state.numTensors;\n const previous = this.numTensors;\n this.numTensors = current;\n const leaked = current - previous;\n if (leaked !== 0) log(...msg, leaked);\n }\n\n // quick sanity check on inputs\n sanity(input) {\n if (!this.checkSanity) return null;\n if (!input) return 'input is not defined';\n if (this.tf.ENV.flags.IS_NODE && !(input instanceof this.tf.Tensor)) {\n return 'input must be a tensor';\n }\n try {\n this.tf.getBackend();\n } catch {\n return 'backend not loaded';\n }\n return null;\n }\n\n simmilarity(embedding1, embedding2) {\n if (this.config.face.embedding.enabled) return embedding.simmilarity(embedding1, embedding2);\n return 0;\n }\n\n // preload models, not explicitly required as it's done automatically on first use\n async load(userConfig = null) {\n this.state = 'load';\n const timeStamp = now();\n if (userConfig) this.config = mergeDeep(this.config, userConfig);\n\n if (this.firstRun) {\n log(`version: ${this.version} TensorFlow/JS version: ${this.tf.version_core}`);\n await this.checkBackend(true);\n if (this.tf.ENV.flags.IS_BROWSER) {\n log('configuration:', this.config);\n log('tf flags:', this.tf.ENV.flags);\n }\n }\n const face = this.config.face.detector.modelPath.includes('faceboxes') ? faceboxes : facemesh;\n if (this.config.async) {\n [\n this.models.face,\n this.models.age,\n this.models.gender,\n this.models.emotion,\n this.models.embedding,\n this.models.posenet,\n this.models.handpose,\n ] = await Promise.all([\n this.models.face || (this.config.face.enabled ? face.load(this.config) : null),\n this.models.age || ((this.config.face.enabled && this.config.face.age.enabled) ? age.load(this.config) : null),\n this.models.gender || ((this.config.face.enabled && this.config.face.gender.enabled) ? gender.load(this.config) : null),\n this.models.emotion || ((this.config.face.enabled && this.config.face.emotion.enabled) ? emotion.load(this.config) : null),\n this.models.embedding || ((this.config.face.enabled && this.config.face.embedding.enabled) ? embedding.load(this.config) : null),\n this.models.posenet || (this.config.body.enabled ? posenet.load(this.config) : null),\n this.models.handpose || (this.config.hand.enabled ? handpose.load(this.config) : null),\n ]);\n } else {\n if (this.config.face.enabled && !this.models.face) this.models.face = await face.load(this.config);\n if (this.config.face.enabled && this.config.face.age.enabled && !this.models.age) this.models.age = await age.load(this.config);\n if (this.config.face.enabled && this.config.face.gender.enabled && !this.models.gender) this.models.gender = await gender.load(this.config);\n if (this.config.face.enabled && this.config.face.emotion.enabled && !this.models.emotion) this.models.emotion = await emotion.load(this.config);\n if (this.config.face.enabled && this.config.face.embedding.enabled && !this.models.embedding) this.models.embedding = await embedding.load(this.config);\n if (this.config.body.enabled && !this.models.posenet) this.models.posenet = await posenet.load(this.config);\n if (this.config.hand.enabled && !this.models.handpose) this.models.handpose = await handpose.load(this.config);\n }\n\n if (this.firstRun) {\n log('tf engine state:', this.tf.engine().state.numBytes, 'bytes', this.tf.engine().state.numTensors, 'tensors');\n this.firstRun = false;\n }\n\n const current = Math.trunc(now() - timeStamp);\n if (current > (this.perf.load || 0)) this.perf.load = current;\n }\n\n // check if backend needs initialization if it changed\n async checkBackend(force = false) {\n if (this.config.backend && (this.config.backend !== '') && force || (this.tf.getBackend() !== this.config.backend)) {\n const timeStamp = now();\n this.state = 'backend';\n /* force backend reload\n if (this.config.backend in tf.engine().registry) {\n const backendFactory = tf.findBackendFactory(this.config.backend);\n tf.removeBackend(this.config.backend);\n tf.registerBackend(this.config.backend, backendFactory);\n } else {\n log('Backend not registred:', this.config.backend);\n }\n */\n\n log('setting backend:', this.config.backend);\n\n if (this.config.backend === 'wasm') {\n log('settings wasm path:', this.config.wasmPath);\n this.tf.setWasmPaths(this.config.wasmPath);\n const simd = await this.tf.env().getAsync('WASM_HAS_SIMD_SUPPORT');\n if (!simd) log('warning: wasm simd support is not enabled');\n }\n\n if (this.config.backend === 'humangl') backend.register();\n try {\n await this.tf.setBackend(this.config.backend);\n } catch (err) {\n log('error: cannot set backend:', this.config.backend, err);\n }\n this.tf.enableProdMode();\n /* debug mode is really too mcuh\n tf.enableDebugMode();\n */\n if (this.tf.getBackend() === 'webgl') {\n if (this.config.deallocate) {\n log('changing webgl: WEBGL_DELETE_TEXTURE_THRESHOLD:', this.config.deallocate);\n this.tf.ENV.set('WEBGL_DELETE_TEXTURE_THRESHOLD', this.config.deallocate ? 0 : -1);\n }\n this.tf.ENV.set('WEBGL_FORCE_F16_TEXTURES', true);\n this.tf.ENV.set('WEBGL_PACK_DEPTHWISECONV', true);\n const gl = await this.tf.backend().getGPGPUContext().gl;\n log(`gl version:${gl.getParameter(gl.VERSION)} renderer:${gl.getParameter(gl.RENDERER)}`);\n }\n await this.tf.ready();\n this.perf.backend = Math.trunc(now() - timeStamp);\n }\n }\n\n async detectFace(input) {\n // run facemesh, includes blazeface and iris\n // eslint-disable-next-line no-async-promise-executor\n let timeStamp;\n let ageRes;\n let genderRes;\n let emotionRes;\n let embeddingRes;\n const faceRes: Array<{ confidence: number, box: any, mesh: any, meshRaw: any, boxRaw: any, annotations: any, age: number, gender: string, genderConfidence: number, emotion: string, embedding: any, iris: number }> = [];\n this.state = 'run:face';\n timeStamp = now();\n const faces = await this.models.face?.estimateFaces(input, this.config);\n this.perf.face = Math.trunc(now() - timeStamp);\n for (const face of faces) {\n this.analyze('Get Face');\n\n // is something went wrong, skip the face\n if (!face.image || face.image.isDisposedInternal) {\n log('Face object is disposed:', face.image);\n continue;\n }\n\n // run age, inherits face from blazeface\n this.analyze('Start Age:');\n if (this.config.async) {\n ageRes = this.config.face.age.enabled ? age.predict(face.image, this.config) : {};\n } else {\n this.state = 'run:age';\n timeStamp = now();\n ageRes = this.config.face.age.enabled ? await age.predict(face.image, this.config) : {};\n this.perf.age = Math.trunc(now() - timeStamp);\n }\n\n // run gender, inherits face from blazeface\n this.analyze('Start Gender:');\n if (this.config.async) {\n genderRes = this.config.face.gender.enabled ? gender.predict(face.image, this.config) : {};\n } else {\n this.state = 'run:gender';\n timeStamp = now();\n genderRes = this.config.face.gender.enabled ? await gender.predict(face.image, this.config) : {};\n this.perf.gender = Math.trunc(now() - timeStamp);\n }\n\n // run emotion, inherits face from blazeface\n this.analyze('Start Emotion:');\n if (this.config.async) {\n emotionRes = this.config.face.emotion.enabled ? emotion.predict(face.image, this.config) : {};\n } else {\n this.state = 'run:emotion';\n timeStamp = now();\n emotionRes = this.config.face.emotion.enabled ? await emotion.predict(face.image, this.config) : {};\n this.perf.emotion = Math.trunc(now() - timeStamp);\n }\n this.analyze('End Emotion:');\n\n // run emotion, inherits face from blazeface\n this.analyze('Start Embedding:');\n if (this.config.async) {\n embeddingRes = this.config.face.embedding.enabled ? embedding.predict(face.image, this.config) : {};\n } else {\n this.state = 'run:embedding';\n timeStamp = now();\n embeddingRes = this.config.face.embedding.enabled ? await embedding.predict(face.image, this.config) : {};\n this.perf.embedding = Math.trunc(now() - timeStamp);\n }\n this.analyze('End Emotion:');\n\n // if async wait for results\n if (this.config.async) {\n [ageRes, genderRes, emotionRes, embeddingRes] = await Promise.all([ageRes, genderRes, emotionRes, embeddingRes]);\n }\n\n this.analyze('Finish Face:');\n\n // calculate iris distance\n // iris: array[ center, left, top, right, bottom]\n if (!this.config.face.iris.enabled && face?.annotations?.leftEyeIris && face?.annotations?.rightEyeIris) {\n delete face.annotations.leftEyeIris;\n delete face.annotations.rightEyeIris;\n }\n const irisSize = (face.annotations?.leftEyeIris && face.annotations?.rightEyeIris)\n /* average human iris size is 11.7mm */\n ? 11.7 * Math.max(Math.abs(face.annotations.leftEyeIris[3][0] - face.annotations.leftEyeIris[1][0]), Math.abs(face.annotations.rightEyeIris[4][1] - face.annotations.rightEyeIris[2][1]))\n : 0;\n\n // combine results\n faceRes.push({\n confidence: face.confidence,\n box: face.box,\n mesh: face.mesh,\n boxRaw: face.boxRaw,\n meshRaw: face.meshRaw,\n annotations: face.annotations,\n age: ageRes.age,\n gender: genderRes.gender,\n genderConfidence: genderRes.confidence,\n emotion: emotionRes,\n embedding: embeddingRes,\n iris: (irisSize !== 0) ? Math.trunc(irisSize) / 100 : 0,\n // image: face.image.toInt().squeeze(),\n });\n\n // dont need face anymore\n face.image?.dispose();\n this.analyze('End Face');\n }\n this.analyze('End FaceMesh:');\n if (this.config.async) {\n if (this.perf.face) delete this.perf.face;\n if (this.perf.age) delete this.perf.age;\n if (this.perf.gender) delete this.perf.gender;\n if (this.perf.emotion) delete this.perf.emotion;\n }\n return faceRes;\n }\n\n /*\n async processImage(input, userConfig = {}) {\n this.state = 'image';\n this.config = mergeDeep(this.config, userConfig);\n const process = image.process(input, this.config);\n process?.tensor?.dispose();\n return process?.canvas;\n }\n */\n\n // main detect function\n async detect(input, userConfig = {}) {\n // detection happens inside a promise\n return new Promise(async (resolve) => {\n this.state = 'config';\n let timeStamp;\n\n // update configuration\n this.config = mergeDeep(this.config, userConfig);\n\n // sanity checks\n this.state = 'check';\n const error = this.sanity(input);\n if (error) {\n log(error, input);\n resolve({ error });\n }\n\n let poseRes;\n let handRes;\n let faceRes;\n\n const timeStart = now();\n\n // configure backend\n await this.checkBackend();\n\n // load models if enabled\n await this.load();\n\n if (this.config.scoped) this.tf.engine().startScope();\n this.analyze('Start Scope:');\n\n timeStamp = now();\n const process = image.process(input, this.config);\n if (!process || !process.tensor) {\n log('could not convert input to tensor');\n resolve({ error: 'could not convert input to tensor' });\n return;\n }\n this.perf.image = Math.trunc(now() - timeStamp);\n this.analyze('Get Image:');\n\n // run face detection followed by all models that rely on face bounding box: face mesh, age, gender, emotion\n if (this.config.async) {\n faceRes = this.config.face.enabled ? this.detectFace(process.tensor) : [];\n if (this.perf.face) delete this.perf.face;\n } else {\n this.state = 'run:face';\n timeStamp = now();\n faceRes = this.config.face.enabled ? await this.detectFace(process.tensor) : [];\n this.perf.face = Math.trunc(now() - timeStamp);\n }\n\n // run posenet\n this.analyze('Start Body:');\n if (this.config.async) {\n poseRes = this.config.body.enabled ? this.models.posenet?.estimatePoses(process.tensor, this.config) : [];\n if (this.perf.body) delete this.perf.body;\n } else {\n this.state = 'run:body';\n timeStamp = now();\n poseRes = this.config.body.enabled ? await this.models.posenet?.estimatePoses(process.tensor, this.config) : [];\n this.perf.body = Math.trunc(now() - timeStamp);\n }\n this.analyze('End Body:');\n\n // run handpose\n this.analyze('Start Hand:');\n if (this.config.async) {\n handRes = this.config.hand.enabled ? this.models.handpose?.estimateHands(process.tensor, this.config) : [];\n if (this.perf.hand) delete this.perf.hand;\n } else {\n this.state = 'run:hand';\n timeStamp = now();\n handRes = this.config.hand.enabled ? await this.models.handpose?.estimateHands(process.tensor, this.config) : [];\n this.perf.hand = Math.trunc(now() - timeStamp);\n }\n this.analyze('End Hand:');\n\n // if async wait for results\n if (this.config.async) {\n [faceRes, poseRes, handRes] = await Promise.all([faceRes, poseRes, handRes]);\n }\n process.tensor.dispose();\n\n if (this.config.scoped) this.tf.engine().endScope();\n this.analyze('End Scope:');\n\n let gestureRes = [];\n if (this.config.gesture.enabled) {\n timeStamp = now();\n // @ts-ignore\n gestureRes = [...gesture.face(faceRes), ...gesture.body(poseRes), ...gesture.hand(handRes), ...gesture.iris(faceRes)];\n if (!this.config.async) this.perf.gesture = Math.trunc(now() - timeStamp);\n else if (this.perf.gesture) delete this.perf.gesture;\n }\n\n this.perf.total = Math.trunc(now() - timeStart);\n this.state = 'idle';\n resolve({ face: faceRes, body: poseRes, hand: handRes, gesture: gestureRes, performance: this.perf, canvas: process.canvas });\n });\n }\n\n async warmupBitmap() {\n const b64toBlob = (base64, type = 'application/octet-stream') => fetch(`data:${type};base64,${base64}`).then((res) => res.blob());\n let blob;\n let res;\n switch (this.config.warmup) {\n case 'face': blob = await b64toBlob(sample.face); break;\n case 'full': blob = await b64toBlob(sample.body); break;\n default: blob = null;\n }\n if (blob) {\n const bitmap = await createImageBitmap(blob);\n res = await this.detect(bitmap, this.config);\n bitmap.close();\n }\n return res;\n }\n\n async warmupCanvas() {\n return new Promise((resolve) => {\n let src;\n let size = 0;\n switch (this.config.warmup) {\n case 'face':\n size = 256;\n src = 'data:image/jpeg;base64,' + sample.face;\n break;\n case 'full':\n size = 1200;\n src = 'data:image/jpeg;base64,' + sample.body;\n break;\n default:\n src = null;\n }\n const img = new Image(size, size);\n img.onload = () => {\n const canvas = (typeof OffscreenCanvas !== 'undefined') ? new OffscreenCanvas(size, size) : document.createElement('canvas');\n canvas.width = size;\n canvas.height = size;\n const ctx = canvas.getContext('2d');\n ctx?.drawImage(img, 0, 0);\n const data = ctx?.getImageData(0, 0, size, size);\n this.detect(data, this.config).then((res) => resolve(res));\n };\n if (src) img.src = src;\n else resolve(null);\n });\n }\n\n async warmupNode() {\n const atob = (str) => Buffer.from(str, 'base64');\n const img = this.config.warmup === 'face' ? atob(sample.face) : atob(sample.body);\n // @ts-ignore\n const data = tf.node.decodeJpeg(img); // tf.node is only defined when compiling for nodejs\n const expanded = data.expandDims(0);\n this.tf.dispose(data);\n // log('Input:', expanded);\n const res = await this.detect(expanded, this.config);\n this.tf.dispose(expanded);\n return res;\n }\n\n async warmup(userConfig) {\n const t0 = now();\n if (userConfig) this.config = mergeDeep(this.config, userConfig);\n const video = this.config.videoOptimized;\n this.config.videoOptimized = false;\n let res;\n if (typeof createImageBitmap === 'function') res = await this.warmupBitmap();\n else if (typeof Image !== 'undefined') res = await this.warmupCanvas();\n else res = await this.warmupNode();\n this.config.videoOptimized = video;\n const t1 = now();\n log('Warmup', this.config.warmup, Math.round(t1 - t0), 'ms', res);\n return res;\n }\n}\n\nexport { Human as default };\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as profile from '../profile';\n\nexport class FaceBoxes {\n enlarge: number;\n model: any;\n config: any;\n\n constructor(model, config) {\n this.enlarge = 1.1;\n this.model = model;\n this.config = config;\n }\n\n async estimateFaces(input, config) {\n if (config) this.config = config;\n const results: Array<{ confidence: number, box: any, boxRaw: any, image: any }> = [];\n const resizeT = tf.image.resizeBilinear(input, [this.config.face.detector.inputSize, this.config.face.detector.inputSize]);\n const castT = resizeT.toInt();\n let scores;\n let boxes;\n if (!config.profile) {\n const [scoresT, boxesT, numT] = await this.model.executeAsync(castT);\n scores = scoresT.dataSync();\n const squeezeT = boxesT.squeeze();\n boxes = squeezeT.arraySync();\n scoresT.dispose();\n boxesT.dispose();\n squeezeT.dispose();\n numT.dispose();\n } else {\n const profileData = await tf.profile(() => this.model.executeAsync(castT));\n scores = profileData.result[0].dataSync();\n const squeezeT = profileData.result[1].squeeze();\n boxes = squeezeT.arraySync();\n profileData.result.forEach((t) => t.dispose());\n profile.run('faceboxes', profileData);\n }\n castT.dispose();\n resizeT.dispose();\n for (const i in boxes) {\n if (scores[i] && scores[i] > this.config.face.detector.minConfidence) {\n const crop = [boxes[i][0] / this.enlarge, boxes[i][1] / this.enlarge, boxes[i][2] * this.enlarge, boxes[i][3] * this.enlarge];\n const boxRaw = [crop[1], crop[0], (crop[3]) - (crop[1]), (crop[2]) - (crop[0])];\n const box = [\n parseInt((boxRaw[0] * input.shape[2]).toString()),\n parseInt((boxRaw[1] * input.shape[1]).toString()),\n parseInt((boxRaw[2] * input.shape[2]).toString()),\n parseInt((boxRaw[3] * input.shape[1]).toString())];\n const resized = tf.image.cropAndResize(input, [crop], [0], [this.config.face.detector.inputSize, this.config.face.detector.inputSize]);\n const image = resized.div([255]);\n resized.dispose();\n results.push({ confidence: scores[i], box, boxRaw: this.config.face.mesh.returnRawData ? boxRaw : null, image });\n // add mesh, meshRaw, annotations,\n }\n }\n return results;\n }\n}\n\nexport async function load(config) {\n const model = await tf.loadGraphModel(config.face.detector.modelPath);\n log(`load model: ${config.face.detector.modelPath.match(/\\/(.*)\\./)[1]}`);\n const faceboxes = new FaceBoxes(model, config);\n if (config.face.mesh.enabled) log(`load model: ${config.face.mesh.modelPath.match(/\\/(.*)\\./)[1]}`);\n if (config.face.iris.enabled) log(`load model: ${config.face.iris.modelPath.match(/\\/(.*)\\./)[1]}`);\n return faceboxes;\n}\n", "import { log } from './log';\n\nexport const data = {};\n\nexport function run(name: string, raw: any) {\n if (!raw || !raw.kernels) return;\n const maxResults = 5;\n const time = raw.kernels\n .filter((a) => a.kernelTimeMs > 0)\n .reduce((a, b) => a += b.kernelTimeMs, 0);\n const slowest = raw.kernels\n .map((a, i) => { a.id = i; return a; })\n .filter((a) => a.kernelTimeMs > 0)\n .sort((a, b) => b.kernelTimeMs - a.kernelTimeMs);\n const largest = raw.kernels\n .map((a, i) => { a.id = i; return a; })\n .filter((a) => a.totalBytesSnapshot > 0)\n .sort((a, b) => b.totalBytesSnapshot - a.totalBytesSnapshot);\n if (slowest.length > maxResults) slowest.length = maxResults;\n if (largest.length > maxResults) largest.length = maxResults;\n const res = { newBytes: raw.newBytes, newTensors: raw.newTensors, peakBytes: raw.peakBytes, numKernelOps: raw.kernels.length, timeKernelOps: time, slowestKernelOps: slowest, largestKernelOps: largest };\n data[name] = res;\n log('Human profiler', name, res);\n}\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as profile from '../profile';\n\nlet model;\nlet last = { age: 0 };\nlet skipped = Number.MAX_SAFE_INTEGER;\n\nexport async function load(config) {\n if (!model) {\n model = await tf.loadGraphModel(config.face.age.modelPath);\n log(`load model: ${config.face.age.modelPath.match(/\\/(.*)\\./)[1]}`);\n }\n return model;\n}\n\nexport async function predict(image, config) {\n if (!model) return null;\n if ((skipped < config.face.age.skipFrames) && config.videoOptimized && last.age && (last.age > 0)) {\n skipped++;\n return last;\n }\n if (config.videoOptimized) skipped = 0;\n else skipped = Number.MAX_SAFE_INTEGER;\n return new Promise(async (resolve) => {\n /*\n const zoom = [0, 0]; // 0..1 meaning 0%..100%\n const box = [[\n (image.shape[1] * zoom[0]) / image.shape[1],\n (image.shape[2] * zoom[1]) / image.shape[2],\n (image.shape[1] - (image.shape[1] * zoom[0])) / image.shape[1],\n (image.shape[2] - (image.shape[2] * zoom[1])) / image.shape[2],\n ]];\n const resize = tf.image.cropAndResize(image, box, [0], [config.face.age.inputSize, config.face.age.inputSize]);\n */\n const resize = tf.image.resizeBilinear(image, [config.face.age.inputSize, config.face.age.inputSize], false);\n const enhance = tf.mul(resize, [255.0]);\n tf.dispose(resize);\n\n let ageT;\n const obj = { age: 0 };\n\n if (!config.profile) {\n if (config.face.age.enabled) ageT = await model.predict(enhance);\n } else {\n const profileAge = config.face.age.enabled ? await tf.profile(() => model.predict(enhance)) : {};\n ageT = profileAge.result.clone();\n profileAge.result.dispose();\n profile.run('age', profileAge);\n }\n enhance.dispose();\n\n if (ageT) {\n const data = ageT.dataSync();\n obj.age = Math.trunc(10 * data[0]) / 10;\n }\n ageT.dispose();\n\n last = obj;\n resolve(obj);\n });\n}\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as profile from '../profile';\n\nlet model;\nlet last = { gender: '' };\nlet skipped = Number.MAX_SAFE_INTEGER;\nlet alternative = false;\n\n// tuning values\nconst rgb = [0.2989, 0.5870, 0.1140]; // factors for red/green/blue colors when converting to grayscale\n\nexport async function load(config) {\n if (!model) {\n model = await tf.loadGraphModel(config.face.gender.modelPath);\n alternative = model.inputs[0].shape[3] === 1;\n log(`load model: ${config.face.gender.modelPath.match(/\\/(.*)\\./)[1]}`);\n }\n return model;\n}\n\nexport async function predict(image, config) {\n if (!model) return null;\n if ((skipped < config.face.gender.skipFrames) && config.videoOptimized && last.gender !== '') {\n skipped++;\n return last;\n }\n if (config.videoOptimized) skipped = 0;\n else skipped = Number.MAX_SAFE_INTEGER;\n return new Promise(async (resolve) => {\n const resize = tf.image.resizeBilinear(image, [config.face.gender.inputSize, config.face.gender.inputSize], false);\n let enhance;\n if (alternative) {\n enhance = tf.tidy(() => {\n const [red, green, blue] = tf.split(resize, 3, 3);\n const redNorm = tf.mul(red, rgb[0]);\n const greenNorm = tf.mul(green, rgb[1]);\n const blueNorm = tf.mul(blue, rgb[2]);\n const grayscale = tf.addN([redNorm, greenNorm, blueNorm]);\n return grayscale.sub(0.5).mul(2);\n });\n } else {\n enhance = tf.mul(resize, [255.0]);\n }\n tf.dispose(resize);\n\n let genderT;\n const obj = { gender: '', confidence: 0 };\n\n if (!config.profile) {\n if (config.face.gender.enabled) genderT = await model.predict(enhance);\n } else {\n const profileGender = config.face.gender.enabled ? await tf.profile(() => model.predict(enhance)) : {};\n genderT = profileGender.result.clone();\n profileGender.result.dispose();\n profile.run('gender', profileGender);\n }\n enhance.dispose();\n\n if (genderT) {\n const data = genderT.dataSync();\n if (alternative) {\n // returns two values 0..1, bigger one is prediction\n const confidence = Math.trunc(100 * Math.abs(data[0] - data[1])) / 100;\n if (confidence > config.face.gender.minConfidence) {\n obj.gender = data[0] > data[1] ? 'female' : 'male';\n obj.confidence = confidence;\n }\n } else {\n // returns one value 0..1, .5 is prediction threshold\n const confidence = Math.trunc(200 * Math.abs((data[0] - 0.5))) / 100;\n if (confidence > config.face.gender.minConfidence) {\n obj.gender = data[0] <= 0.5 ? 'female' : 'male';\n obj.confidence = Math.min(0.99, confidence);\n }\n }\n }\n genderT.dispose();\n\n last = obj;\n resolve(obj);\n });\n}\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as profile from '../profile';\n\nconst annotations = ['angry', 'disgust', 'fear', 'happy', 'sad', 'surprise', 'neutral'];\nlet model;\nlet last: Array<{ score: number, emotion: string }> = [];\nlet skipped = Number.MAX_SAFE_INTEGER;\n\n// tuning values\nconst rgb = [0.2989, 0.5870, 0.1140]; // factors for red/green/blue colors when converting to grayscale\nconst scale = 1; // score multiplication factor\n\nexport async function load(config) {\n if (!model) {\n model = await tf.loadGraphModel(config.face.emotion.modelPath);\n log(`load model: ${config.face.emotion.modelPath.match(/\\/(.*)\\./)[1]}`);\n }\n return model;\n}\n\nexport async function predict(image, config) {\n if (!model) return null;\n if ((skipped < config.face.emotion.skipFrames) && config.videoOptimized && (last.length > 0)) {\n skipped++;\n return last;\n }\n if (config.videoOptimized) skipped = 0;\n else skipped = Number.MAX_SAFE_INTEGER;\n return new Promise(async (resolve) => {\n /*\n const zoom = [0, 0]; // 0..1 meaning 0%..100%\n const box = [[\n (image.shape[1] * zoom[0]) / image.shape[1],\n (image.shape[2] * zoom[1]) / image.shape[2],\n (image.shape[1] - (image.shape[1] * zoom[0])) / image.shape[1],\n (image.shape[2] - (image.shape[2] * zoom[1])) / image.shape[2],\n ]];\n const resize = tf.image.cropAndResize(image, box, [0], [config.face.emotion.inputSize, config.face.emotion.inputSize]);\n */\n const resize = tf.image.resizeBilinear(image, [config.face.emotion.inputSize, config.face.emotion.inputSize], false);\n const [red, green, blue] = tf.split(resize, 3, 3);\n resize.dispose();\n // weighted rgb to grayscale: https://www.mathworks.com/help/matlab/ref/rgb2gray.html\n const redNorm = tf.mul(red, rgb[0]);\n const greenNorm = tf.mul(green, rgb[1]);\n const blueNorm = tf.mul(blue, rgb[2]);\n red.dispose();\n green.dispose();\n blue.dispose();\n const grayscale = tf.addN([redNorm, greenNorm, blueNorm]);\n redNorm.dispose();\n greenNorm.dispose();\n blueNorm.dispose();\n const normalize = tf.tidy(() => grayscale.sub(0.5).mul(2));\n grayscale.dispose();\n const obj: Array<{ score: number, emotion: string }> = [];\n if (config.face.emotion.enabled) {\n let data;\n if (!config.profile) {\n const emotionT = await model.predict(normalize);\n data = emotionT.dataSync();\n tf.dispose(emotionT);\n } else {\n const profileData = await tf.profile(() => model.predict(normalize));\n data = profileData.result.dataSync();\n profileData.result.dispose();\n profile.run('emotion', profileData);\n }\n for (let i = 0; i < data.length; i++) {\n if (scale * data[i] > config.face.emotion.minConfidence) obj.push({ score: Math.min(0.99, Math.trunc(100 * scale * data[i]) / 100), emotion: annotations[i] });\n }\n obj.sort((a, b) => b.score - a.score);\n }\n normalize.dispose();\n last = obj;\n resolve(obj);\n });\n}\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as profile from '../profile';\n\n// based on https://github.com/sirius-ai/MobileFaceNet_TF\n// model converted from https://github.com/sirius-ai/MobileFaceNet_TF/files/3551493/FaceMobileNet192_train_false.zip\n\nlet model;\n\nexport async function load(config) {\n if (!model) {\n model = await tf.loadGraphModel(config.face.embedding.modelPath);\n log(`load model: ${config.face.embedding.modelPath.match(/\\/(.*)\\./)[1]}`);\n }\n return model;\n}\n\nexport function simmilarity(embedding1, embedding2) {\n if (embedding1?.length !== embedding2?.length) return 0;\n // general minkowski distance\n // euclidean distance is limited case where order is 2\n const order = 2;\n const distance = 10.0 * ((embedding1.map((val, i) => (val - embedding2[i])).reduce((dist, diff) => dist + (diff ** order), 0) ** (1 / order)));\n return (Math.trunc(1000 * (1 - distance)) / 1000);\n}\n\nexport async function predict(image, config) {\n if (!model) return null;\n return new Promise(async (resolve) => {\n const resize = tf.image.resizeBilinear(image, [config.face.embedding.inputSize, config.face.embedding.inputSize], false);\n // const normalize = tf.tidy(() => resize.div(127.5).sub(0.5)); // this is -0.5...0.5 ???\n let data: Array<[]> = [];\n if (config.face.embedding.enabled) {\n if (!config.profile) {\n const embeddingT = await model.predict({ img_inputs: resize });\n data = [...embeddingT.dataSync()]; // convert object array to standard array\n tf.dispose(embeddingT);\n } else {\n const profileData = await tf.profile(() => model.predict({ img_inputs: resize }));\n data = [...profileData.result.dataSync()];\n profileData.result.dispose();\n profile.run('emotion', profileData);\n }\n }\n resize.dispose();\n // normalize.dispose();\n resolve(data);\n });\n}\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as modelBase from './modelBase';\nimport * as decodeMultiple from './decodeMultiple';\nimport * as decodePose from './decodePose';\nimport * as util from './util';\n\nasync function estimateMultiple(input, res, config) {\n return new Promise(async (resolve) => {\n const height = input.shape[1];\n const width = input.shape[2];\n const allTensorBuffers = await util.toTensorBuffers3D([res.heatmapScores, res.offsets, res.displacementFwd, res.displacementBwd]);\n const scoresBuffer = allTensorBuffers[0];\n const offsetsBuffer = allTensorBuffers[1];\n const displacementsFwdBuffer = allTensorBuffers[2];\n const displacementsBwdBuffer = allTensorBuffers[3];\n const poses = await decodeMultiple.decodeMultiplePoses(scoresBuffer, offsetsBuffer, displacementsFwdBuffer, displacementsBwdBuffer, config);\n const scaled = util.scaleAndFlipPoses(poses, [height, width], [config.body.inputSize, config.body.inputSize]);\n resolve(scaled);\n });\n}\n\nasync function estimateSingle(input, res, config) {\n return new Promise(async (resolve) => {\n const height = input.shape[1];\n const width = input.shape[2];\n const pose = await decodePose.decodeSinglePose(res.heatmapScores, res.offsets, config);\n const poses = [pose];\n const scaled = util.scaleAndFlipPoses(poses, [height, width], [config.body.inputSize, config.body.inputSize]);\n resolve(scaled);\n });\n}\n\nexport class PoseNet {\n baseModel: any;\n constructor(model) {\n this.baseModel = model;\n }\n\n async estimatePoses(input, config) {\n const resized = util.resizeTo(input, [config.body.inputSize, config.body.inputSize]);\n const res = this.baseModel.predict(resized, config);\n\n const poses = (config.body.maxDetections < 2) ? await estimateSingle(input, res, config) : await estimateMultiple(input, res, config);\n\n res.heatmapScores.dispose();\n res.offsets.dispose();\n res.displacementFwd.dispose();\n res.displacementBwd.dispose();\n resized.dispose();\n\n return poses;\n }\n\n dispose() {\n this.baseModel.dispose();\n }\n}\n\nexport async function load(config) {\n const model = await tf.loadGraphModel(config.body.modelPath);\n const mobilenet = new modelBase.BaseModel(model);\n log(`load model: ${config.body.modelPath.match(/\\/(.*)\\./)[1]}`);\n return new PoseNet(mobilenet);\n}\n", "import * as tf from '../../dist/tfjs.esm.js';\n\nconst imageNetMean = [-123.15, -115.90, -103.06];\n\nfunction nameOutputResultsMobileNet(results) {\n const [offsets, heatmap, displacementFwd, displacementBwd] = results;\n return { offsets, heatmap, displacementFwd, displacementBwd };\n}\n\nfunction nameOutputResultsResNet(results) {\n const [displacementFwd, displacementBwd, offsets, heatmap] = results;\n return { offsets, heatmap, displacementFwd, displacementBwd };\n}\n\nexport class BaseModel {\n model: any;\n constructor(model) {\n this.model = model;\n }\n\n predict(input, config) {\n return tf.tidy(() => {\n const asFloat = (config.body.modelType === 'ResNet') ? input.toFloat().add(imageNetMean) : input.toFloat().div(127.5).sub(1.0);\n const asBatch = asFloat.expandDims(0);\n const results = this.model.predict(asBatch);\n const results3d = results.map((y) => y.squeeze([0]));\n const namedResults = (config.body.modelType === 'ResNet') ? nameOutputResultsResNet(results3d) : nameOutputResultsMobileNet(results3d);\n return {\n heatmapScores: namedResults.heatmap.sigmoid(),\n offsets: namedResults.offsets,\n displacementFwd: namedResults.displacementFwd,\n displacementBwd: namedResults.displacementBwd,\n };\n });\n }\n\n dispose() {\n this.model.dispose();\n }\n}\n", "// algorithm based on Coursera Lecture from Algorithms, Part 1: https://www.coursera.org/learn/algorithms-part1/lecture/ZjoSM/heapsort\nfunction half(k) {\n return Math.floor(k / 2);\n}\nexport class MaxHeap {\n priorityQueue: any;\n numberOfElements: number;\n getElementValue: any;\n\n constructor(maxSize, getElementValue) {\n this.priorityQueue = new Array(maxSize);\n this.numberOfElements = -1;\n this.getElementValue = getElementValue;\n }\n\n enqueue(x) {\n this.priorityQueue[++this.numberOfElements] = x;\n this.swim(this.numberOfElements);\n }\n\n dequeue() {\n const max = this.priorityQueue[0];\n this.exchange(0, this.numberOfElements--);\n this.sink(0);\n this.priorityQueue[this.numberOfElements + 1] = null;\n return max;\n }\n\n empty() {\n return this.numberOfElements === -1;\n }\n\n size() {\n return this.numberOfElements + 1;\n }\n\n all() {\n return this.priorityQueue.slice(0, this.numberOfElements + 1);\n }\n\n max() {\n return this.priorityQueue[0];\n }\n\n swim(k) {\n while (k > 0 && this.less(half(k), k)) {\n this.exchange(k, half(k));\n k = half(k);\n }\n }\n\n sink(k) {\n while (2 * k <= this.numberOfElements) {\n let j = 2 * k;\n if (j < this.numberOfElements && this.less(j, j + 1)) j++;\n if (!this.less(k, j)) break;\n this.exchange(k, j);\n k = j;\n }\n }\n\n getValueAt(i) {\n return this.getElementValue(this.priorityQueue[i]);\n }\n\n less(i, j) {\n return this.getValueAt(i) < this.getValueAt(j);\n }\n\n exchange(i, j) {\n const t = this.priorityQueue[i];\n this.priorityQueue[i] = this.priorityQueue[j];\n this.priorityQueue[j] = t;\n }\n}\n", "import * as heapSort from './heapSort';\n\nfunction scoreIsMaximumInLocalWindow(keypointId, score, heatmapY, heatmapX, localMaximumRadius, scores) {\n const [height, width] = scores.shape;\n let localMaximum = true;\n const yStart = Math.max(heatmapY - localMaximumRadius, 0);\n const yEnd = Math.min(heatmapY + localMaximumRadius + 1, height);\n for (let yCurrent = yStart; yCurrent < yEnd; ++yCurrent) {\n const xStart = Math.max(heatmapX - localMaximumRadius, 0);\n const xEnd = Math.min(heatmapX + localMaximumRadius + 1, width);\n for (let xCurrent = xStart; xCurrent < xEnd; ++xCurrent) {\n if (scores.get(yCurrent, xCurrent, keypointId) > score) {\n localMaximum = false;\n break;\n }\n }\n if (!localMaximum) break;\n }\n return localMaximum;\n}\n\nexport function buildPartWithScoreQueue(scoreThreshold, localMaximumRadius, scores) {\n const [height, width, numKeypoints] = scores.shape;\n const queue = new heapSort.MaxHeap(height * width * numKeypoints, ({ score }) => score);\n for (let heatmapY = 0; heatmapY < height; ++heatmapY) {\n for (let heatmapX = 0; heatmapX < width; ++heatmapX) {\n for (let keypointId = 0; keypointId < numKeypoints; ++keypointId) {\n const score = scores.get(heatmapY, heatmapX, keypointId);\n // Only consider parts with score greater or equal to threshold as root candidates.\n if (score < scoreThreshold) continue;\n // Only consider keypoints whose score is maximum in a local window.\n if (scoreIsMaximumInLocalWindow(keypointId, score, heatmapY, heatmapX, localMaximumRadius, scores)) {\n queue.enqueue({ score, part: { heatmapY, heatmapX, id: keypointId } });\n }\n }\n }\n }\n return queue;\n}\n", "import * as keypoints from './keypoints';\nimport * as vectors from './vectors';\nimport * as decoders from './decoders';\n\nconst parentChildrenTuples = keypoints.poseChain.map(([parentJoinName, childJoinName]) => ([keypoints.partIds[parentJoinName], keypoints.partIds[childJoinName]]));\nconst parentToChildEdges = parentChildrenTuples.map(([, childJointId]) => childJointId);\nconst childToParentEdges = parentChildrenTuples.map(([parentJointId]) => parentJointId);\nfunction getDisplacement(edgeId, point, displacements) {\n const numEdges = displacements.shape[2] / 2;\n return {\n y: displacements.get(point.y, point.x, edgeId),\n x: displacements.get(point.y, point.x, numEdges + edgeId),\n };\n}\nfunction getStridedIndexNearPoint(point, outputStride, height, width) {\n return {\n y: vectors.clamp(Math.round(point.y / outputStride), 0, height - 1),\n x: vectors.clamp(Math.round(point.x / outputStride), 0, width - 1),\n };\n}\n\nfunction traverseToTargetKeypoint(edgeId, sourceKeypoint, targetKeypointId, scoresBuffer, offsets, outputStride, displacements, offsetRefineStep = 2) {\n const [height, width] = scoresBuffer.shape;\n // Nearest neighbor interpolation for the source->target displacements.\n const sourceKeypointIndices = getStridedIndexNearPoint(sourceKeypoint.position, outputStride, height, width);\n const displacement = getDisplacement(edgeId, sourceKeypointIndices, displacements);\n const displacedPoint = vectors.addVectors(sourceKeypoint.position, displacement);\n let targetKeypoint = displacedPoint;\n for (let i = 0; i < offsetRefineStep; i++) {\n const targetKeypointIndices = getStridedIndexNearPoint(targetKeypoint, outputStride, height, width);\n const offsetPoint = vectors.getOffsetPoint(targetKeypointIndices.y, targetKeypointIndices.x, targetKeypointId, offsets);\n targetKeypoint = vectors.addVectors({\n x: targetKeypointIndices.x * outputStride,\n y: targetKeypointIndices.y * outputStride,\n }, { x: offsetPoint.x, y: offsetPoint.y });\n }\n const targetKeyPointIndices = getStridedIndexNearPoint(targetKeypoint, outputStride, height, width);\n const score = scoresBuffer.get(targetKeyPointIndices.y, targetKeyPointIndices.x, targetKeypointId);\n return { position: targetKeypoint, part: keypoints.partNames[targetKeypointId], score };\n}\n\nexport function decodePose(root, scores, offsets, outputStride, displacementsFwd, displacementsBwd) {\n const numParts = scores.shape[2];\n const numEdges = parentToChildEdges.length;\n const instanceKeypoints = new Array(numParts);\n // Start a new detection instance at the position of the root.\n const { part: rootPart, score: rootScore } = root;\n const rootPoint = vectors.getImageCoords(rootPart, outputStride, offsets);\n instanceKeypoints[rootPart.id] = {\n score: rootScore,\n part: keypoints.partNames[rootPart.id],\n position: rootPoint,\n };\n // Decode the part positions upwards in the tree, following the backward displacements.\n for (let edge = numEdges - 1; edge >= 0; --edge) {\n const sourceKeypointId = parentToChildEdges[edge];\n const targetKeypointId = childToParentEdges[edge];\n if (instanceKeypoints[sourceKeypointId] && !instanceKeypoints[targetKeypointId]) {\n instanceKeypoints[targetKeypointId] = traverseToTargetKeypoint(edge, instanceKeypoints[sourceKeypointId], targetKeypointId, scores, offsets, outputStride, displacementsBwd);\n }\n }\n // Decode the part positions downwards in the tree, following the forward displacements.\n for (let edge = 0; edge < numEdges; ++edge) {\n const sourceKeypointId = childToParentEdges[edge];\n const targetKeypointId = parentToChildEdges[edge];\n if (instanceKeypoints[sourceKeypointId] && !instanceKeypoints[targetKeypointId]) {\n instanceKeypoints[targetKeypointId] = traverseToTargetKeypoint(edge, instanceKeypoints[sourceKeypointId], targetKeypointId, scores, offsets, outputStride, displacementsFwd);\n }\n }\n return instanceKeypoints;\n}\n\nexport async function decodeSinglePose(heatmapScores, offsets, config) {\n let totalScore = 0.0;\n const heatmapValues = decoders.argmax2d(heatmapScores);\n const allTensorBuffers = await Promise.all([heatmapScores.buffer(), offsets.buffer(), heatmapValues.buffer()]);\n const scoresBuffer = allTensorBuffers[0];\n const offsetsBuffer = allTensorBuffers[1];\n const heatmapValuesBuffer = allTensorBuffers[2];\n const offsetPoints = decoders.getOffsetPoints(heatmapValuesBuffer, config.body.outputStride, offsetsBuffer);\n const offsetPointsBuffer = await offsetPoints.buffer();\n const keypointConfidence = Array.from(decoders.getPointsConfidence(scoresBuffer, heatmapValuesBuffer));\n const instanceKeypoints = keypointConfidence.map((score, i) => {\n totalScore += score;\n return {\n position: {\n y: offsetPointsBuffer.get(i, 0),\n x: offsetPointsBuffer.get(i, 1),\n },\n part: keypoints.partNames[i],\n score,\n };\n });\n const filteredKeypoints = instanceKeypoints.filter((kpt) => kpt.score > config.body.scoreThreshold);\n heatmapValues.dispose();\n offsetPoints.dispose();\n return { keypoints: filteredKeypoints, score: totalScore / instanceKeypoints.length };\n}\n", "import * as kpt from './keypoints';\n\nexport function getOffsetPoint(y, x, keypoint, offsets) {\n return {\n y: offsets.get(y, x, keypoint),\n x: offsets.get(y, x, keypoint + kpt.NUM_KEYPOINTS),\n };\n}\n\nexport function getImageCoords(part, outputStride, offsets) {\n const { heatmapY, heatmapX, id: keypoint } = part;\n const { y, x } = getOffsetPoint(heatmapY, heatmapX, keypoint, offsets);\n return {\n x: part.heatmapX * outputStride + x,\n y: part.heatmapY * outputStride + y,\n };\n}\n\nexport function fillArray(element, size) {\n const result = new Array(size);\n for (let i = 0; i < size; i++) {\n result[i] = element;\n }\n return result;\n}\n\nexport function clamp(a, min, max) {\n if (a < min) return min;\n if (a > max) return max;\n return a;\n}\n\nexport function squaredDistance(y1, x1, y2, x2) {\n const dy = y2 - y1;\n const dx = x2 - x1;\n return dy * dy + dx * dx;\n}\n\nexport function addVectors(a, b) {\n return { x: a.x + b.x, y: a.y + b.y };\n}\n\nexport function clampVector(a, min, max) {\n return { y: clamp(a.y, min, max), x: clamp(a.x, min, max) };\n}\n", "import * as tf from '../../dist/tfjs.esm.js';\nimport * as kpt from './keypoints';\n\nexport function getPointsConfidence(heatmapScores, heatMapCoords) {\n const numKeypoints = heatMapCoords.shape[0];\n const result = new Float32Array(numKeypoints);\n for (let keypoint = 0; keypoint < numKeypoints; keypoint++) {\n const y = heatMapCoords.get(keypoint, 0);\n const x = heatMapCoords.get(keypoint, 1);\n result[keypoint] = heatmapScores.get(y, x, keypoint);\n }\n return result;\n}\n\nfunction getOffsetPoint(y, x, keypoint, offsetsBuffer) {\n return {\n y: offsetsBuffer.get(y, x, keypoint),\n x: offsetsBuffer.get(y, x, keypoint + kpt.NUM_KEYPOINTS),\n };\n}\n\nexport function getOffsetVectors(heatMapCoordsBuffer, offsetsBuffer) {\n const result: Array = [];\n for (let keypoint = 0; keypoint < kpt.NUM_KEYPOINTS; keypoint++) {\n const heatmapY = heatMapCoordsBuffer.get(keypoint, 0).valueOf();\n const heatmapX = heatMapCoordsBuffer.get(keypoint, 1).valueOf();\n const { x, y } = getOffsetPoint(heatmapY, heatmapX, keypoint, offsetsBuffer);\n result.push(y);\n result.push(x);\n }\n return tf.tensor2d(result, [kpt.NUM_KEYPOINTS, 2]);\n}\n\nexport function getOffsetPoints(heatMapCoordsBuffer, outputStride, offsetsBuffer) {\n return tf.tidy(() => heatMapCoordsBuffer.toTensor().mul(tf.scalar(outputStride, 'int32')).toFloat().add(getOffsetVectors(heatMapCoordsBuffer, offsetsBuffer)));\n}\n\nfunction mod(a, b) {\n return tf.tidy(() => {\n const floored = a.div(tf.scalar(b, 'int32'));\n return a.sub(floored.mul(tf.scalar(b, 'int32')));\n });\n}\n\nexport function argmax2d(inputs) {\n const [height, width, depth] = inputs.shape;\n return tf.tidy(() => {\n const reshaped = inputs.reshape([height * width, depth]);\n const coords = reshaped.argMax(0);\n const yCoords = coords.div(tf.scalar(width, 'int32')).expandDims(1);\n const xCoords = mod(coords, width).expandDims(1);\n return tf.concat([yCoords, xCoords], 1);\n });\n}\n", "import * as buildParts from './buildParts';\nimport * as decodePose from './decodePose';\nimport * as vectors from './vectors';\n\nconst kLocalMaximumRadius = 1;\n\nfunction withinNmsRadiusOfCorrespondingPoint(poses, squaredNmsRadius, { x, y }, keypointId) {\n return poses.some(({ keypoints }) => {\n const correspondingKeypoint = keypoints[keypointId].position;\n return vectors.squaredDistance(y, x, correspondingKeypoint.y, correspondingKeypoint.x) <= squaredNmsRadius;\n });\n}\n\nfunction getInstanceScore(existingPoses, squaredNmsRadius, instanceKeypoints) {\n const notOverlappedKeypointScores = instanceKeypoints.reduce((result, { position, score }, keypointId) => {\n if (!withinNmsRadiusOfCorrespondingPoint(existingPoses, squaredNmsRadius, position, keypointId)) result += score;\n return result;\n }, 0.0);\n return notOverlappedKeypointScores / instanceKeypoints.length;\n}\n\nexport function decodeMultiplePoses(scoresBuffer, offsetsBuffer, displacementsFwdBuffer, displacementsBwdBuffer, config) {\n const poses: Array<{ keypoints: any, score: number }> = [];\n const queue = buildParts.buildPartWithScoreQueue(config.body.scoreThreshold, kLocalMaximumRadius, scoresBuffer);\n const squaredNmsRadius = config.body.nmsRadius ^ 2;\n // Generate at most maxDetections object instances per image in decreasing root part score order.\n while (poses.length < config.body.maxDetections && !queue.empty()) {\n // The top element in the queue is the next root candidate.\n const root = queue.dequeue();\n // Part-based non-maximum suppression: We reject a root candidate if it is within a disk of `nmsRadius` pixels from the corresponding part of a previously detected instance.\n const rootImageCoords = vectors.getImageCoords(root.part, config.body.outputStride, offsetsBuffer);\n if (withinNmsRadiusOfCorrespondingPoint(poses, squaredNmsRadius, rootImageCoords, root.part.id)) continue;\n // Else start a new detection instance at the position of the root.\n const keypoints = decodePose.decodePose(root, scoresBuffer, offsetsBuffer, config.body.outputStride, displacementsFwdBuffer, displacementsBwdBuffer);\n const score = getInstanceScore(poses, squaredNmsRadius, keypoints);\n if (score > config.body.scoreThreshold) poses.push({ keypoints, score });\n }\n return poses;\n}\n", "import * as kpt from './keypoints';\n\nexport function eitherPointDoesntMeetConfidence(a, b, minConfidence) {\n return (a < minConfidence || b < minConfidence);\n}\n\nexport function getAdjacentKeyPoints(keypoints, minConfidence) {\n return kpt.connectedPartIndices.reduce((result, [leftJoint, rightJoint]) => {\n if (eitherPointDoesntMeetConfidence(keypoints[leftJoint].score, keypoints[rightJoint].score, minConfidence)) {\n return result;\n }\n result.push([keypoints[leftJoint], keypoints[rightJoint]]);\n return result;\n }, []);\n}\n\nconst { NEGATIVE_INFINITY, POSITIVE_INFINITY } = Number;\nexport function getBoundingBox(keypoints) {\n return keypoints.reduce(({ maxX, maxY, minX, minY }, { position: { x, y } }) => ({\n maxX: Math.max(maxX, x),\n maxY: Math.max(maxY, y),\n minX: Math.min(minX, x),\n minY: Math.min(minY, y),\n }), {\n maxX: NEGATIVE_INFINITY,\n maxY: NEGATIVE_INFINITY,\n minX: POSITIVE_INFINITY,\n minY: POSITIVE_INFINITY,\n });\n}\n\nexport function getBoundingBoxPoints(keypoints) {\n const { minX, minY, maxX, maxY } = getBoundingBox(keypoints);\n return [{ x: minX, y: minY }, { x: maxX, y: minY }, { x: maxX, y: maxY }, { x: minX, y: maxY }];\n}\n\nexport async function toTensorBuffers3D(tensors) {\n return Promise.all(tensors.map((tensor) => tensor.buffer()));\n}\n\nexport function scalePose(pose, scaleY, scaleX) {\n return {\n score: pose.score,\n keypoints: pose.keypoints.map(({ score, part, position }) => ({\n score,\n part,\n position: { x: position.x * scaleX, y: position.y * scaleY },\n })),\n };\n}\n\nexport function resizeTo(image, [targetH, targetW]) {\n const input = image.squeeze(0);\n const resized = input.resizeBilinear([targetH, targetW]);\n input.dispose();\n return resized;\n}\n\nexport function scaleAndFlipPoses(poses, [height, width], [inputResolutionHeight, inputResolutionWidth]) {\n const scaledPoses = poses.map((pose) => scalePose(pose, height / inputResolutionHeight, width / inputResolutionWidth));\n return scaledPoses;\n}\n", "// https://storage.googleapis.com/tfjs-models/demos/handpose/index.html\n\nimport { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as handdetector from './handdetector';\nimport * as handpipeline from './handpipeline';\nimport * as anchors from './anchors';\n\nconst MESH_ANNOTATIONS = {\n thumb: [1, 2, 3, 4],\n indexFinger: [5, 6, 7, 8],\n middleFinger: [9, 10, 11, 12],\n ringFinger: [13, 14, 15, 16],\n pinky: [17, 18, 19, 20],\n palmBase: [0],\n};\n\nexport class HandPose {\n handPipeline: any;\n\n constructor(handPipeline) {\n this.handPipeline = handPipeline;\n }\n\n static getAnnotations() {\n return MESH_ANNOTATIONS;\n }\n\n async estimateHands(input, config) {\n const predictions = await this.handPipeline.estimateHands(input, config);\n if (!predictions) return [];\n const hands: Array<{ confidence: number, box: any, landmarks: any, annotations: any }> = [];\n for (const prediction of predictions) {\n const annotations = {};\n if (prediction.landmarks) {\n for (const key of Object.keys(MESH_ANNOTATIONS)) {\n annotations[key] = MESH_ANNOTATIONS[key].map((index) => prediction.landmarks[index]);\n }\n }\n const box = prediction.box ? [\n Math.max(0, prediction.box.topLeft[0]),\n Math.max(0, prediction.box.topLeft[1]),\n Math.min(input.shape[2], prediction.box.bottomRight[0]) - prediction.box.topLeft[0],\n Math.min(input.shape[1], prediction.box.bottomRight[1]) - prediction.box.topLeft[1],\n ] : 0;\n hands.push({ confidence: prediction.confidence, box, landmarks: prediction.landmarks, annotations });\n }\n return hands;\n }\n}\n\nexport async function load(config) {\n const [handDetectorModel, handPoseModel] = await Promise.all([\n config.hand.enabled ? tf.loadGraphModel(config.hand.detector.modelPath, { fromTFHub: config.hand.detector.modelPath.includes('tfhub.dev') }) : null,\n config.hand.landmarks ? tf.loadGraphModel(config.hand.skeleton.modelPath, { fromTFHub: config.hand.skeleton.modelPath.includes('tfhub.dev') }) : null,\n ]);\n const handDetector = new handdetector.HandDetector(handDetectorModel, config.hand.inputSize, anchors.anchors);\n const handPipeline = new handpipeline.HandPipeline(handDetector, handPoseModel, config.hand.inputSize);\n const handPose = new HandPose(handPipeline);\n if (config.hand.enabled) log(`load model: ${config.hand.detector.modelPath.match(/\\/(.*)\\./)[1]}`);\n if (config.hand.landmarks) log(`load model: ${config.hand.skeleton.modelPath.match(/\\/(.*)\\./)[1]}`);\n return handPose;\n}\n", "import * as tf from '../../dist/tfjs.esm.js';\n\nexport function getBoxSize(box) {\n return [\n Math.abs(box.endPoint[0] - box.startPoint[0]),\n Math.abs(box.endPoint[1] - box.startPoint[1]),\n ];\n}\n\nexport function getBoxCenter(box) {\n return [\n box.startPoint[0] + (box.endPoint[0] - box.startPoint[0]) / 2,\n box.startPoint[1] + (box.endPoint[1] - box.startPoint[1]) / 2,\n ];\n}\n\nexport function cutBoxFromImageAndResize(box, image, cropSize) {\n const h = image.shape[1];\n const w = image.shape[2];\n const boxes = [[\n box.startPoint[1] / h,\n box.startPoint[0] / w,\n box.endPoint[1] / h,\n box.endPoint[0] / w,\n ]];\n return tf.image.cropAndResize(image, boxes, [0], cropSize);\n}\n\nexport function scaleBoxCoordinates(box, factor) {\n const startPoint = [box.startPoint[0] * factor[0], box.startPoint[1] * factor[1]];\n const endPoint = [box.endPoint[0] * factor[0], box.endPoint[1] * factor[1]];\n const palmLandmarks = box.palmLandmarks.map((coord) => {\n const scaledCoord = [coord[0] * factor[0], coord[1] * factor[1]];\n return scaledCoord;\n });\n return { startPoint, endPoint, palmLandmarks, confidence: box.confidence };\n}\n\nexport function enlargeBox(box, factor = 1.5) {\n const center = getBoxCenter(box);\n const size = getBoxSize(box);\n const newHalfSize = [factor * size[0] / 2, factor * size[1] / 2];\n const startPoint = [center[0] - newHalfSize[0], center[1] - newHalfSize[1]];\n const endPoint = [center[0] + newHalfSize[0], center[1] + newHalfSize[1]];\n return { startPoint, endPoint, palmLandmarks: box.palmLandmarks };\n}\n\nexport function squarifyBox(box) {\n const centers = getBoxCenter(box);\n const size = getBoxSize(box);\n const maxEdge = Math.max(...size);\n const halfSize = maxEdge / 2;\n const startPoint = [centers[0] - halfSize, centers[1] - halfSize];\n const endPoint = [centers[0] + halfSize, centers[1] + halfSize];\n return { startPoint, endPoint, palmLandmarks: box.palmLandmarks };\n}\n\nexport function shiftBox(box, shiftFactor) {\n const boxSize = [\n box.endPoint[0] - box.startPoint[0],\n box.endPoint[1] - box.startPoint[1],\n ];\n const shiftVector = [boxSize[0] * shiftFactor[0], boxSize[1] * shiftFactor[1]];\n const startPoint = [box.startPoint[0] + shiftVector[0], box.startPoint[1] + shiftVector[1]];\n const endPoint = [box.endPoint[0] + shiftVector[0], box.endPoint[1] + shiftVector[1]];\n return { startPoint, endPoint, palmLandmarks: box.palmLandmarks };\n}\n", "import * as tf from '../../dist/tfjs.esm.js';\nimport * as box from './box';\n\nexport class HandDetector {\n model: any;\n anchors: any;\n anchorsTensor: any;\n inputSizeTensor: any;\n doubleInputSizeTensor: any;\n\n constructor(model, inputSize, anchorsAnnotated) {\n this.model = model;\n this.anchors = anchorsAnnotated.map((anchor) => [anchor.x_center, anchor.y_center]);\n this.anchorsTensor = tf.tensor2d(this.anchors);\n this.inputSizeTensor = tf.tensor1d([inputSize, inputSize]);\n this.doubleInputSizeTensor = tf.tensor1d([inputSize * 2, inputSize * 2]);\n }\n\n normalizeBoxes(boxes) {\n return tf.tidy(() => {\n const boxOffsets = tf.slice(boxes, [0, 0], [-1, 2]);\n const boxSizes = tf.slice(boxes, [0, 2], [-1, 2]);\n const boxCenterPoints = tf.add(tf.div(boxOffsets, this.inputSizeTensor), this.anchorsTensor);\n const halfBoxSizes = tf.div(boxSizes, this.doubleInputSizeTensor);\n const startPoints = tf.mul(tf.sub(boxCenterPoints, halfBoxSizes), this.inputSizeTensor);\n const endPoints = tf.mul(tf.add(boxCenterPoints, halfBoxSizes), this.inputSizeTensor);\n return tf.concat2d([startPoints, endPoints], 1);\n });\n }\n\n normalizeLandmarks(rawPalmLandmarks, index) {\n return tf.tidy(() => {\n const landmarks = tf.add(tf.div(rawPalmLandmarks.reshape([-1, 7, 2]), this.inputSizeTensor), this.anchors[index]);\n return tf.mul(landmarks, this.inputSizeTensor);\n });\n }\n\n async getBoxes(input, config) {\n const batched = this.model.predict(input);\n const predictions = batched.squeeze();\n batched.dispose();\n const scoresT = tf.tidy(() => tf.sigmoid(tf.slice(predictions, [0, 0], [-1, 1])).squeeze());\n const scores = scoresT.dataSync();\n const rawBoxes = tf.slice(predictions, [0, 1], [-1, 4]);\n const boxes = this.normalizeBoxes(rawBoxes);\n rawBoxes.dispose();\n const filteredT = await tf.image.nonMaxSuppressionAsync(boxes, scores, config.hand.maxHands, config.hand.iouThreshold, config.hand.scoreThreshold);\n const filtered = filteredT.arraySync();\n\n scoresT.dispose();\n filteredT.dispose();\n const hands: Array<{ box: any, palmLandmarks: any, confidence: number }> = [];\n for (const index of filtered) {\n if (scores[index] >= config.hand.minConfidence) {\n const matchingBox = tf.slice(boxes, [index, 0], [1, -1]);\n const rawPalmLandmarks = tf.slice(predictions, [index, 5], [1, 14]);\n const palmLandmarks = tf.tidy(() => this.normalizeLandmarks(rawPalmLandmarks, index).reshape([-1, 2]));\n rawPalmLandmarks.dispose();\n hands.push({ box: matchingBox, palmLandmarks, confidence: scores[index] });\n }\n }\n predictions.dispose();\n boxes.dispose();\n return hands;\n }\n\n async estimateHandBounds(input, config) {\n const inputHeight = input.shape[1];\n const inputWidth = input.shape[2];\n const image = tf.tidy(() => input.resizeBilinear([config.hand.inputSize, config.hand.inputSize]).div(127.5).sub(1));\n const predictions = await this.getBoxes(image, config);\n image.dispose();\n const hands: Array<{}> = [];\n if (!predictions || predictions.length === 0) return hands;\n for (const prediction of predictions) {\n const boxes = prediction.box.dataSync();\n const startPoint = boxes.slice(0, 2);\n const endPoint = boxes.slice(2, 4);\n const palmLandmarks = prediction.palmLandmarks.arraySync();\n prediction.box.dispose();\n prediction.palmLandmarks.dispose();\n hands.push(box.scaleBoxCoordinates({ startPoint, endPoint, palmLandmarks, confidence: prediction.confidence }, [inputWidth / config.hand.inputSize, inputHeight / config.hand.inputSize]));\n }\n return hands;\n }\n}\n", "export function normalizeRadians(angle) {\n return angle - 2 * Math.PI * Math.floor((angle + Math.PI) / (2 * Math.PI));\n}\n\nexport function computeRotation(point1, point2) {\n const radians = Math.PI / 2 - Math.atan2(-(point2[1] - point1[1]), point2[0] - point1[0]);\n return normalizeRadians(radians);\n}\n\nexport const buildTranslationMatrix = (x, y) => [[1, 0, x], [0, 1, y], [0, 0, 1]];\n\nexport function dot(v1, v2) {\n let product = 0;\n for (let i = 0; i < v1.length; i++) {\n product += v1[i] * v2[i];\n }\n return product;\n}\n\nexport function getColumnFrom2DArr(arr, columnIndex) {\n const column: Array = [];\n for (let i = 0; i < arr.length; i++) {\n column.push(arr[i][columnIndex]);\n }\n return column;\n}\n\nexport function multiplyTransformMatrices(mat1, mat2) {\n const product: Array = [];\n const size = mat1.length;\n for (let row = 0; row < size; row++) {\n product.push([]);\n for (let col = 0; col < size; col++) {\n product[row].push(dot(mat1[row], getColumnFrom2DArr(mat2, col)));\n }\n }\n return product;\n}\n\nexport function buildRotationMatrix(rotation, center) {\n const cosA = Math.cos(rotation);\n const sinA = Math.sin(rotation);\n const rotationMatrix = [[cosA, -sinA, 0], [sinA, cosA, 0], [0, 0, 1]];\n const translationMatrix = buildTranslationMatrix(center[0], center[1]);\n const translationTimesRotation = multiplyTransformMatrices(translationMatrix, rotationMatrix);\n const negativeTranslationMatrix = buildTranslationMatrix(-center[0], -center[1]);\n return multiplyTransformMatrices(translationTimesRotation, negativeTranslationMatrix);\n}\n\nexport function invertTransformMatrix(matrix) {\n const rotationComponent = [[matrix[0][0], matrix[1][0]], [matrix[0][1], matrix[1][1]]];\n const translationComponent = [matrix[0][2], matrix[1][2]];\n const invertedTranslation = [\n -dot(rotationComponent[0], translationComponent),\n -dot(rotationComponent[1], translationComponent),\n ];\n return [\n rotationComponent[0].concat(invertedTranslation[0]),\n rotationComponent[1].concat(invertedTranslation[1]),\n [0, 0, 1],\n ];\n}\n\nexport function rotatePoint(homogeneousCoordinate, rotationMatrix) {\n return [\n dot(homogeneousCoordinate, rotationMatrix[0]),\n dot(homogeneousCoordinate, rotationMatrix[1]),\n ];\n}\n", "import * as tf from '../../dist/tfjs.esm.js';\nimport * as box from './box';\nimport * as util from './util';\n\n// const PALM_BOX_SHIFT_VECTOR = [0, -0.4];\nconst PALM_BOX_ENLARGE_FACTOR = 5; // default 3\n// const HAND_BOX_SHIFT_VECTOR = [0, -0.1]; // move detected hand box by x,y to ease landmark detection\nconst HAND_BOX_ENLARGE_FACTOR = 1.65; // default 1.65\nconst PALM_LANDMARK_IDS = [0, 5, 9, 13, 17, 1, 2];\nconst PALM_LANDMARKS_INDEX_OF_PALM_BASE = 0;\nconst PALM_LANDMARKS_INDEX_OF_MIDDLE_FINGER_BASE = 2;\n\nexport class HandPipeline {\n handDetector: any;\n landmarkDetector: any;\n inputSize: number;\n storedBoxes: any;\n skipped: number;\n detectedHands: number;\n\n constructor(handDetector, landmarkDetector, inputSize) {\n this.handDetector = handDetector;\n this.landmarkDetector = landmarkDetector;\n this.inputSize = inputSize;\n this.storedBoxes = [];\n this.skipped = 0;\n this.detectedHands = 0;\n }\n\n getBoxForPalmLandmarks(palmLandmarks, rotationMatrix) {\n const rotatedPalmLandmarks = palmLandmarks.map((coord) => util.rotatePoint([...coord, 1], rotationMatrix));\n const boxAroundPalm = this.calculateLandmarksBoundingBox(rotatedPalmLandmarks);\n // return box.enlargeBox(box.squarifyBox(box.shiftBox(boxAroundPalm, PALM_BOX_SHIFT_VECTOR)), PALM_BOX_ENLARGE_FACTOR);\n return box.enlargeBox(box.squarifyBox(boxAroundPalm), PALM_BOX_ENLARGE_FACTOR);\n }\n\n getBoxForHandLandmarks(landmarks) {\n const boundingBox = this.calculateLandmarksBoundingBox(landmarks);\n // const boxAroundHand = box.enlargeBox(box.squarifyBox(box.shiftBox(boundingBox, HAND_BOX_SHIFT_VECTOR)), HAND_BOX_ENLARGE_FACTOR);\n const boxAroundHand = box.enlargeBox(box.squarifyBox(boundingBox), HAND_BOX_ENLARGE_FACTOR);\n boxAroundHand.palmLandmarks = [];\n for (let i = 0; i < PALM_LANDMARK_IDS.length; i++) {\n boxAroundHand.palmLandmarks.push(landmarks[PALM_LANDMARK_IDS[i]].slice(0, 2));\n }\n return boxAroundHand;\n }\n\n transformRawCoords(rawCoords, box2, angle, rotationMatrix) {\n const boxSize = box.getBoxSize(box2);\n const scaleFactor = [boxSize[0] / this.inputSize, boxSize[1] / this.inputSize, (boxSize[0] + boxSize[1]) / this.inputSize / 2];\n const coordsScaled = rawCoords.map((coord) => [\n scaleFactor[0] * (coord[0] - this.inputSize / 2),\n scaleFactor[1] * (coord[1] - this.inputSize / 2),\n scaleFactor[2] * coord[2],\n ]);\n const coordsRotationMatrix = util.buildRotationMatrix(angle, [0, 0]);\n const coordsRotated = coordsScaled.map((coord) => {\n const rotated = util.rotatePoint(coord, coordsRotationMatrix);\n return [...rotated, coord[2]];\n });\n const inverseRotationMatrix = util.invertTransformMatrix(rotationMatrix);\n const boxCenter = [...box.getBoxCenter(box2), 1];\n const originalBoxCenter = [\n util.dot(boxCenter, inverseRotationMatrix[0]),\n util.dot(boxCenter, inverseRotationMatrix[1]),\n ];\n return coordsRotated.map((coord) => [\n coord[0] + originalBoxCenter[0],\n coord[1] + originalBoxCenter[1],\n coord[2],\n ]);\n }\n\n async estimateHands(image, config) {\n let useFreshBox = false;\n\n // run new detector every skipFrames unless we only want box to start with\n let boxes;\n if ((this.skipped === 0) || (this.skipped > config.hand.skipFrames) || !config.hand.landmarks || !config.videoOptimized) {\n boxes = await this.handDetector.estimateHandBounds(image, config);\n this.skipped = 0;\n }\n if (config.videoOptimized) this.skipped++;\n\n // if detector result count doesn't match current working set, use it to reset current working set\n if (boxes && (boxes.length > 0) && ((boxes.length !== this.detectedHands) && (this.detectedHands !== config.hand.maxHands) || !config.hand.landmarks)) {\n this.detectedHands = 0;\n this.storedBoxes = [...boxes];\n // for (const possible of boxes) this.storedBoxes.push(possible);\n if (this.storedBoxes.length > 0) useFreshBox = true;\n }\n const hands: Array<{}> = [];\n // log('hand', `skipped: ${this.skipped} max: ${config.hand.maxHands} detected: ${this.detectedHands} stored: ${this.storedBoxes.length} new: ${boxes?.length}`);\n\n // go through working set of boxes\n for (let i = 0; i < this.storedBoxes.length; i++) {\n const currentBox = this.storedBoxes[i];\n if (!currentBox) continue;\n if (config.hand.landmarks) {\n const angle = config.hand.rotation ? util.computeRotation(currentBox.palmLandmarks[PALM_LANDMARKS_INDEX_OF_PALM_BASE], currentBox.palmLandmarks[PALM_LANDMARKS_INDEX_OF_MIDDLE_FINGER_BASE]) : 0;\n const palmCenter = box.getBoxCenter(currentBox);\n const palmCenterNormalized = [palmCenter[0] / image.shape[2], palmCenter[1] / image.shape[1]];\n const rotatedImage = config.hand.rotation ? tf.image.rotateWithOffset(image, angle, 0, palmCenterNormalized) : image.clone();\n const rotationMatrix = util.buildRotationMatrix(-angle, palmCenter);\n const newBox = useFreshBox ? this.getBoxForPalmLandmarks(currentBox.palmLandmarks, rotationMatrix) : currentBox;\n const croppedInput = box.cutBoxFromImageAndResize(newBox, rotatedImage, [this.inputSize, this.inputSize]);\n const handImage = croppedInput.div(255);\n croppedInput.dispose();\n rotatedImage.dispose();\n const [confidenceT, keypoints] = await this.landmarkDetector.predict(handImage);\n handImage.dispose();\n const confidence = confidenceT.dataSync()[0];\n confidenceT.dispose();\n if (confidence >= config.hand.minConfidence) {\n const keypointsReshaped = tf.reshape(keypoints, [-1, 3]);\n const rawCoords = keypointsReshaped.arraySync();\n keypoints.dispose();\n keypointsReshaped.dispose();\n const coords = this.transformRawCoords(rawCoords, newBox, angle, rotationMatrix);\n const nextBoundingBox = this.getBoxForHandLandmarks(coords);\n this.storedBoxes[i] = nextBoundingBox;\n const result = {\n landmarks: coords,\n confidence,\n box: { topLeft: nextBoundingBox.startPoint, bottomRight: nextBoundingBox.endPoint },\n };\n hands.push(result);\n } else {\n this.storedBoxes[i] = null;\n }\n keypoints.dispose();\n } else {\n // const enlarged = box.enlargeBox(box.squarifyBox(box.shiftBox(currentBox, HAND_BOX_SHIFT_VECTOR)), HAND_BOX_ENLARGE_FACTOR);\n const enlarged = box.enlargeBox(box.squarifyBox(currentBox), HAND_BOX_ENLARGE_FACTOR);\n const result = {\n confidence: currentBox.confidence,\n box: { topLeft: enlarged.startPoint, bottomRight: enlarged.endPoint },\n };\n hands.push(result);\n }\n }\n this.storedBoxes = this.storedBoxes.filter((a) => a !== null);\n this.detectedHands = hands.length;\n return hands;\n }\n\n // eslint-disable-next-line class-methods-use-this\n calculateLandmarksBoundingBox(landmarks) {\n const xs = landmarks.map((d) => d[0]);\n const ys = landmarks.map((d) => d[1]);\n const startPoint = [Math.min(...xs), Math.min(...ys)];\n const endPoint = [Math.max(...xs), Math.max(...ys)];\n return { startPoint, endPoint };\n }\n}\n", "export const anchors = [\n {\n w: 1,\n h: 1,\n x_center: 0.015625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.015625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.046875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.046875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.078125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.078125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.109375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.109375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.140625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.140625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.171875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.171875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.203125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.203125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.234375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.234375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.265625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.265625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.296875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.296875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.328125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.328125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.359375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.359375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.390625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.390625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.421875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.421875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.453125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.453125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.484375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.484375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.515625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.515625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.546875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.546875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.578125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.578125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.609375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.609375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.640625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.640625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.671875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.671875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.703125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.703125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.734375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.734375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.765625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.765625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.796875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.796875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.828125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.828125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.859375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.859375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.890625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.890625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.921875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.921875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.953125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.953125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.984375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.984375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.015625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.015625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.046875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.046875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.078125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.078125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.109375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.109375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.140625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.140625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.171875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.171875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.203125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.203125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.234375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.234375,\n y_center: 0.046875,\n },\n {\n w: 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y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.9375,\n },\n];\n", "export const body = (res) => {\n if (!res) return [];\n const gestures: Array<{ body: number, gesture: string }> = [];\n for (let i = 0; i < res.length; i++) {\n // raising hands\n const leftWrist = res[i].keypoints.find((a) => (a.part === 'leftWrist'));\n const rightWrist = res[i].keypoints.find((a) => (a.part === 'rightWrist'));\n const nose = res[i].keypoints.find((a) => (a.part === 'nose'));\n if (nose && leftWrist && rightWrist && (leftWrist.position.y < nose.position.y) && (rightWrist.position.y < nose.position.y)) gestures.push({ body: i, gesture: 'i give up' });\n else if (nose && leftWrist && (leftWrist.position.y < nose.position.y)) gestures.push({ body: i, gesture: 'raise left hand' });\n else if (nose && rightWrist && (rightWrist.position.y < nose.position.y)) gestures.push({ body: i, gesture: 'raise right hand' });\n\n // leaning\n const leftShoulder = res[i].keypoints.find((a) => (a.part === 'leftShoulder'));\n const rightShoulder = res[i].keypoints.find((a) => (a.part === 'rightShoulder'));\n if (leftShoulder && rightShoulder) gestures.push({ body: i, gesture: `leaning ${(leftShoulder.position.y > rightShoulder.position.y) ? 'left' : 'right'}` });\n }\n return gestures;\n};\n\nexport const face = (res) => {\n if (!res) return [];\n const gestures: Array<{ face: number, gesture: string }> = [];\n for (let i = 0; i < res.length; i++) {\n if (res[i].mesh && res[i].mesh.length > 0) {\n const eyeFacing = res[i].mesh[35][2] - res[i].mesh[263][2];\n if (Math.abs(eyeFacing) < 10) gestures.push({ face: i, gesture: 'facing camera' });\n else gestures.push({ face: i, gesture: `facing ${eyeFacing < 0 ? 'right' : 'left'}` });\n const openLeft = Math.abs(res[i].mesh[374][1] - res[i].mesh[386][1]) / Math.abs(res[i].mesh[443][1] - res[i].mesh[450][1]); // center of eye inner lid y coord div center of wider eye border y coord\n if (openLeft < 0.2) gestures.push({ face: i, gesture: 'blink left eye' });\n const openRight = Math.abs(res[i].mesh[145][1] - res[i].mesh[159][1]) / Math.abs(res[i].mesh[223][1] - res[i].mesh[230][1]); // center of eye inner lid y coord div center of wider eye border y coord\n if (openRight < 0.2) gestures.push({ face: i, gesture: 'blink right eye' });\n const mouthOpen = Math.min(100, 500 * Math.abs(res[i].mesh[13][1] - res[i].mesh[14][1]) / Math.abs(res[i].mesh[10][1] - res[i].mesh[152][1]));\n if (mouthOpen > 10) gestures.push({ face: i, gesture: `mouth ${Math.trunc(mouthOpen)}% open` });\n const chinDepth = res[i].mesh[152][2];\n if (Math.abs(chinDepth) > 10) gestures.push({ face: i, gesture: `head ${chinDepth < 0 ? 'up' : 'down'}` });\n }\n }\n return gestures;\n};\n\nexport const iris = (res) => {\n if (!res) return [];\n const gestures: Array<{ iris: number, gesture: string }> = [];\n for (let i = 0; i < res.length; i++) {\n if (!res[i].annotations || !res[i].annotations.leftEyeIris || !res[i].annotations.rightEyeIris) continue;\n const sizeXLeft = res[i].annotations.leftEyeIris[3][0] - res[i].annotations.leftEyeIris[1][0];\n const sizeYLeft = res[i].annotations.leftEyeIris[4][1] - res[i].annotations.leftEyeIris[2][1];\n const areaLeft = Math.abs(sizeXLeft * sizeYLeft);\n\n const sizeXRight = res[i].annotations.rightEyeIris[3][0] - res[i].annotations.rightEyeIris[1][0];\n const sizeYRight = res[i].annotations.rightEyeIris[4][1] - res[i].annotations.rightEyeIris[2][1];\n const areaRight = Math.abs(sizeXRight * sizeYRight);\n\n const difference = Math.abs(areaLeft - areaRight) / Math.max(areaLeft, areaRight);\n if (difference < 0.25) gestures.push({ iris: i, gesture: 'looking at camera' });\n }\n return gestures;\n};\n\nexport const hand = (res) => {\n if (!res) return [];\n const gestures: Array<{ hand: number, gesture: string }> = [];\n for (let i = 0; i < res.length; i++) {\n const fingers: Array<{ name: string, position: number }> = [];\n for (const [finger, pos] of Object.entries(res[i]['annotations'])) {\n // @ts-ignore\n if (finger !== 'palmBase') fingers.push({ name: finger.toLowerCase(), position: pos[0] }); // get tip of each finger\n }\n if (fingers && fingers.length > 0) {\n const closest = fingers.reduce((best, a) => (best.position[2] < a.position[2] ? best : a));\n const highest = fingers.reduce((best, a) => (best.position[1] < a.position[1] ? best : a));\n gestures.push({ hand: i, gesture: `${closest.name} forward ${highest.name} up` });\n }\n }\n return gestures;\n};\n", "/*\nWebGLImageFilter - MIT Licensed\n2013, Dominic Szablewski - phoboslab.org\n\n*/\n\nfunction GLProgram(gl, vertexSource, fragmentSource) {\n const _collect = function (source, prefix, collection) {\n const r = new RegExp('\\\\b' + prefix + ' \\\\w+ (\\\\w+)', 'ig');\n source.replace(r, (match, name) => {\n collection[name] = 0;\n return match;\n });\n };\n\n const _compile = function (source, type) {\n const shader = gl.createShader(type);\n gl.shaderSource(shader, source);\n gl.compileShader(shader);\n if (!gl.getShaderParameter(shader, gl.COMPILE_STATUS)) {\n // @ts-ignore\n throw new Error('Filter: GL compile failed', gl.getShaderInfoLog(shader));\n }\n return shader;\n };\n\n this.uniform = {};\n this.attribute = {};\n const _vsh = _compile(vertexSource, gl.VERTEX_SHADER);\n const _fsh = _compile(fragmentSource, gl.FRAGMENT_SHADER);\n this.id = gl.createProgram();\n gl.attachShader(this.id, _vsh);\n gl.attachShader(this.id, _fsh);\n gl.linkProgram(this.id);\n\n if (!gl.getProgramParameter(this.id, gl.LINK_STATUS)) {\n // @ts-ignore\n throw new Error('Filter: GL link failed', gl.getProgramInfoLog(this.id));\n }\n\n gl.useProgram(this.id);\n // Collect attributes\n _collect(vertexSource, 'attribute', this.attribute);\n for (const a in this.attribute) this.attribute[a] = gl.getAttribLocation(this.id, a);\n // Collect uniforms\n _collect(vertexSource, 'uniform', this.uniform);\n _collect(fragmentSource, 'uniform', this.uniform);\n for (const u in this.uniform) this.uniform[u] = gl.getUniformLocation(this.id, u);\n}\n\n// export const GLImageFilter = function (params) {\nexport function GLImageFilter(params) {\n if (!params) params = { };\n let _drawCount = 0;\n let _sourceTexture = null;\n let _lastInChain = false;\n let _currentFramebufferIndex = -1;\n let _tempFramebuffers = [null, null];\n let _filterChain = [];\n let _width = -1;\n let _height = -1;\n let _vertexBuffer = null;\n let _currentProgram = null;\n const _filter = {};\n const _canvas = params.canvas || document.createElement('canvas');\n // key is the shader program source, value is the compiled program\n const _shaderProgramCache = { };\n const DRAW = { INTERMEDIATE: 1 };\n const gl = _canvas.getContext('webgl');\n if (!gl) throw new Error('Filter: getContext() failed');\n\n this.addFilter = function (name) {\n // eslint-disable-next-line prefer-rest-params\n const args = Array.prototype.slice.call(arguments, 1);\n const filter = _filter[name];\n _filterChain.push({ func: filter, args });\n };\n\n this.reset = function () {\n _filterChain = [];\n };\n\n const _resize = function (width, height) {\n // Same width/height? Nothing to do here\n if (width === _width && height === _height) { return; }\n _canvas.width = width;\n _width = width;\n _canvas.height = height;\n _height = height;\n // Create the context if we don't have it yet\n if (!_vertexBuffer) {\n // Create the vertex buffer for the two triangles [x, y, u, v] * 6\n const vertices = new Float32Array([\n -1, -1, 0, 1, 1, -1, 1, 1, -1, 1, 0, 0,\n -1, 1, 0, 0, 1, -1, 1, 1, 1, 1, 1, 0,\n ]);\n // eslint-disable-next-line no-unused-expressions\n (_vertexBuffer = gl.createBuffer(), gl.bindBuffer(gl.ARRAY_BUFFER, _vertexBuffer));\n gl.bufferData(gl.ARRAY_BUFFER, vertices, gl.STATIC_DRAW);\n gl.pixelStorei(gl.UNPACK_PREMULTIPLY_ALPHA_WEBGL, true);\n }\n gl.viewport(0, 0, _width, _height);\n // Delete old temp framebuffers\n _tempFramebuffers = [null, null];\n };\n\n const _createFramebufferTexture = function (width, height) {\n const fbo = gl.createFramebuffer();\n gl.bindFramebuffer(gl.FRAMEBUFFER, fbo);\n const renderbuffer = gl.createRenderbuffer();\n gl.bindRenderbuffer(gl.RENDERBUFFER, renderbuffer);\n const texture = gl.createTexture();\n gl.bindTexture(gl.TEXTURE_2D, texture);\n gl.texImage2D(gl.TEXTURE_2D, 0, gl.RGBA, width, height, 0, gl.RGBA, gl.UNSIGNED_BYTE, null);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MAG_FILTER, gl.LINEAR);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MIN_FILTER, gl.LINEAR);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_S, gl.CLAMP_TO_EDGE);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_T, gl.CLAMP_TO_EDGE);\n gl.framebufferTexture2D(gl.FRAMEBUFFER, gl.COLOR_ATTACHMENT0, gl.TEXTURE_2D, texture, 0);\n gl.bindTexture(gl.TEXTURE_2D, null);\n gl.bindFramebuffer(gl.FRAMEBUFFER, null);\n return { fbo, texture };\n };\n\n const _getTempFramebuffer = function (index) {\n // @ts-ignore\n _tempFramebuffers[index] = _tempFramebuffers[index] || _createFramebufferTexture(_width, _height);\n return _tempFramebuffers[index];\n };\n\n const _draw = function (flags = null) {\n let source = null;\n let target = null;\n let flipY = false;\n // Set up the source\n if (_drawCount === 0) {\n // First draw call - use the source texture\n source = _sourceTexture;\n } else {\n // All following draw calls use the temp buffer last drawn to\n // @ts-ignore\n source = _getTempFramebuffer(_currentFramebufferIndex)?.texture;\n }\n _drawCount++;\n // Set up the target\n if (_lastInChain && !(flags & DRAW.INTERMEDIATE)) {\n // Last filter in our chain - draw directly to the WebGL Canvas. We may\n // also have to flip the image vertically now\n target = null;\n flipY = _drawCount % 2 === 0;\n } else {\n // Intermediate draw call - get a temp buffer to draw to\n _currentFramebufferIndex = (_currentFramebufferIndex + 1) % 2;\n // @ts-ignore\n target = _getTempFramebuffer(_currentFramebufferIndex)?.fbo;\n }\n // Bind the source and target and draw the two triangles\n gl.bindTexture(gl.TEXTURE_2D, source);\n gl.bindFramebuffer(gl.FRAMEBUFFER, target);\n gl.uniform1f(_currentProgram.uniform.flipY, (flipY ? -1 : 1));\n gl.drawArrays(gl.TRIANGLES, 0, 6);\n };\n\n this.apply = function (image) {\n _resize(image.width, image.height);\n _drawCount = 0;\n // Create the texture for the input image if we haven't yet\n if (!_sourceTexture) _sourceTexture = gl.createTexture();\n gl.bindTexture(gl.TEXTURE_2D, _sourceTexture);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_S, gl.CLAMP_TO_EDGE);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_T, gl.CLAMP_TO_EDGE);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MIN_FILTER, gl.NEAREST);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MAG_FILTER, gl.NEAREST);\n gl.texImage2D(gl.TEXTURE_2D, 0, gl.RGBA, gl.RGBA, gl.UNSIGNED_BYTE, image);\n // No filters? Just draw\n if (_filterChain.length === 0) {\n // const program = _compileShader(SHADER.FRAGMENT_IDENTITY);\n _draw();\n return _canvas;\n }\n for (let i = 0; i < _filterChain.length; i++) {\n _lastInChain = (i === _filterChain.length - 1);\n const f = _filterChain[i];\n f.func.apply(this, f.args || []);\n }\n return _canvas;\n };\n\n const _compileShader = function (fragmentSource) {\n if (_shaderProgramCache[fragmentSource]) {\n _currentProgram = _shaderProgramCache[fragmentSource];\n gl.useProgram(_currentProgram.id);\n return _currentProgram;\n }\n // Compile shaders\n const SHADER = {};\n SHADER.VERTEX_IDENTITY = [\n 'precision highp float;',\n 'attribute vec2 pos;',\n 'attribute vec2 uv;',\n 'varying vec2 vUv;',\n 'uniform float flipY;',\n 'void main(void) {',\n 'vUv = uv;',\n 'gl_Position = vec4(pos.x, pos.y*flipY, 0.0, 1.);',\n '}',\n ].join('\\n');\n SHADER.FRAGMENT_IDENTITY = [\n 'precision highp float;',\n 'varying vec2 vUv;',\n 'uniform sampler2D texture;',\n 'void main(void) {',\n 'gl_FragColor = texture2D(texture, vUv);',\n '}',\n ].join('\\n');\n _currentProgram = new GLProgram(gl, SHADER.VERTEX_IDENTITY, fragmentSource);\n const floatSize = Float32Array.BYTES_PER_ELEMENT;\n const vertSize = 4 * floatSize;\n gl.enableVertexAttribArray(_currentProgram.attribute.pos);\n gl.vertexAttribPointer(_currentProgram.attribute.pos, 2, gl.FLOAT, false, vertSize, 0 * floatSize);\n gl.enableVertexAttribArray(_currentProgram.attribute.uv);\n gl.vertexAttribPointer(_currentProgram.attribute.uv, 2, gl.FLOAT, false, vertSize, 2 * floatSize);\n _shaderProgramCache[fragmentSource] = _currentProgram;\n return _currentProgram;\n };\n\n // -------------------------------------------------------------------------\n // Color Matrix Filter\n _filter.colorMatrix = function (matrix) {\n // Create a Float32 Array and normalize the offset component to 0-1\n const m = new Float32Array(matrix);\n m[4] /= 255;\n m[9] /= 255;\n m[14] /= 255;\n m[19] /= 255;\n // Can we ignore the alpha value? Makes things a bit faster.\n const shader = (m[18] === 1 && m[3] === 0 && m[8] === 0 && m[13] === 0 && m[15] === 0 && m[16] === 0 && m[17] === 0 && m[19] === 0)\n ? _filter.colorMatrix.SHADER.WITHOUT_ALPHA\n : _filter.colorMatrix.SHADER.WITH_ALPHA;\n const program = _compileShader(shader);\n gl.uniform1fv(program.uniform.m, m);\n _draw();\n };\n _filter.colorMatrix.SHADER = {};\n _filter.colorMatrix.SHADER.WITH_ALPHA = [\n 'precision highp float;',\n 'varying vec2 vUv;',\n 'uniform sampler2D texture;',\n 'uniform float m[20];',\n 'void main(void) {',\n 'vec4 c = texture2D(texture, vUv);',\n 'gl_FragColor.r = m[0] * c.r + m[1] * c.g + m[2] * c.b + m[3] * c.a + m[4];',\n 'gl_FragColor.g = m[5] * c.r + m[6] * c.g + m[7] * c.b + m[8] * c.a + m[9];',\n 'gl_FragColor.b = m[10] * c.r + m[11] * c.g + m[12] * c.b + m[13] * c.a + m[14];',\n 'gl_FragColor.a = m[15] * c.r + m[16] * c.g + m[17] * c.b + m[18] * c.a + m[19];',\n '}',\n ].join('\\n');\n _filter.colorMatrix.SHADER.WITHOUT_ALPHA = [\n 'precision highp float;',\n 'varying vec2 vUv;',\n 'uniform sampler2D texture;',\n 'uniform float m[20];',\n 'void main(void) {',\n 'vec4 c = texture2D(texture, vUv);',\n 'gl_FragColor.r = m[0] * c.r + m[1] * c.g + m[2] * c.b + m[4];',\n 'gl_FragColor.g = m[5] * c.r + m[6] * c.g + m[7] * c.b + m[9];',\n 'gl_FragColor.b = m[10] * c.r + m[11] * c.g + m[12] * c.b + m[14];',\n 'gl_FragColor.a = c.a;',\n '}',\n ].join('\\n');\n\n _filter.brightness = function (brightness) {\n const b = (brightness || 0) + 1;\n _filter.colorMatrix([\n b, 0, 0, 0, 0,\n 0, b, 0, 0, 0,\n 0, 0, b, 0, 0,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.saturation = function (amount) {\n const x = (amount || 0) * 2 / 3 + 1;\n const y = ((x - 1) * -0.5);\n _filter.colorMatrix([\n x, y, y, 0, 0,\n y, x, y, 0, 0,\n y, y, x, 0, 0,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.desaturate = function () {\n _filter.saturation(-1);\n };\n\n _filter.contrast = function (amount) {\n const v = (amount || 0) + 1;\n const o = -128 * (v - 1);\n\n _filter.colorMatrix([\n v, 0, 0, 0, o,\n 0, v, 0, 0, o,\n 0, 0, v, 0, o,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.negative = function () {\n _filter.contrast(-2);\n };\n\n _filter.hue = function (rotation) {\n rotation = (rotation || 0) / 180 * Math.PI;\n const cos = Math.cos(rotation);\n const sin = Math.sin(rotation);\n const lumR = 0.213;\n const lumG = 0.715;\n const lumB = 0.072;\n\n _filter.colorMatrix([\n lumR + cos * (1 - lumR) + sin * (-lumR), lumG + cos * (-lumG) + sin * (-lumG), lumB + cos * (-lumB) + sin * (1 - lumB), 0, 0,\n lumR + cos * (-lumR) + sin * (0.143), lumG + cos * (1 - lumG) + sin * (0.140), lumB + cos * (-lumB) + sin * (-0.283), 0, 0,\n lumR + cos * (-lumR) + sin * (-(1 - lumR)), lumG + cos * (-lumG) + sin * (lumG), lumB + cos * (1 - lumB) + sin * (lumB), 0, 0,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.desaturateLuminance = function () {\n _filter.colorMatrix([\n 0.2764723, 0.9297080, 0.0938197, 0, -37.1,\n 0.2764723, 0.9297080, 0.0938197, 0, -37.1,\n 0.2764723, 0.9297080, 0.0938197, 0, -37.1,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.sepia = function () {\n _filter.colorMatrix([\n 0.393, 0.7689999, 0.18899999, 0, 0,\n 0.349, 0.6859999, 0.16799999, 0, 0,\n 0.272, 0.5339999, 0.13099999, 0, 0,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.brownie = function () {\n _filter.colorMatrix([\n 0.5997023498159715, 0.34553243048391263, -0.2708298674538042, 0, 47.43192855600873,\n -0.037703249837783157, 0.8609577587992641, 0.15059552388459913, 0, -36.96841498319127,\n 0.24113635128153335, -0.07441037908422492, 0.44972182064877153, 0, -7.562075277591283,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.vintagePinhole = function () {\n _filter.colorMatrix([\n 0.6279345635605994, 0.3202183420819367, -0.03965408211312453, 0, 9.651285835294123,\n 0.02578397704808868, 0.6441188644374771, 0.03259127616149294, 0, 7.462829176470591,\n 0.0466055556782719, -0.0851232987247891, 0.5241648018700465, 0, 5.159190588235296,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.kodachrome = function () {\n _filter.colorMatrix([\n 1.1285582396593525, -0.3967382283601348, -0.03992559172921793, 0, 63.72958762196502,\n -0.16404339962244616, 1.0835251566291304, -0.05498805115633132, 0, 24.732407896706203,\n -0.16786010706155763, -0.5603416277695248, 1.6014850761964943, 0, 35.62982807460946,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.technicolor = function () {\n _filter.colorMatrix([\n 1.9125277891456083, -0.8545344976951645, -0.09155508482755585, 0, 11.793603434377337,\n -0.3087833385928097, 1.7658908555458428, -0.10601743074722245, 0, -70.35205161461398,\n -0.231103377548616, -0.7501899197440212, 1.847597816108189, 0, 30.950940869491138,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.polaroid = function () {\n _filter.colorMatrix([\n 1.438, -0.062, -0.062, 0, 0,\n -0.122, 1.378, -0.122, 0, 0,\n -0.016, -0.016, 1.483, 0, 0,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.shiftToBGR = function () {\n _filter.colorMatrix([\n 0, 0, 1, 0, 0,\n 0, 1, 0, 0, 0,\n 1, 0, 0, 0, 0,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n // -------------------------------------------------------------------------\n // Convolution Filter\n _filter.convolution = function (matrix) {\n const m = new Float32Array(matrix);\n const pixelSizeX = 1 / _width;\n const pixelSizeY = 1 / _height;\n const program = _compileShader(_filter.convolution.SHADER);\n gl.uniform1fv(program.uniform.m, m);\n gl.uniform2f(program.uniform.px, pixelSizeX, pixelSizeY);\n _draw();\n };\n\n _filter.convolution.SHADER = [\n 'precision highp float;',\n 'varying vec2 vUv;',\n 'uniform sampler2D texture;',\n 'uniform vec2 px;',\n 'uniform float m[9];',\n 'void main(void) {',\n 'vec4 c11 = texture2D(texture, vUv - px);', // top left\n 'vec4 c12 = texture2D(texture, vec2(vUv.x, vUv.y - px.y));', // top center\n 'vec4 c13 = texture2D(texture, vec2(vUv.x + px.x, vUv.y - px.y));', // top right\n 'vec4 c21 = texture2D(texture, vec2(vUv.x - px.x, vUv.y) );', // mid left\n 'vec4 c22 = texture2D(texture, vUv);', // mid center\n 'vec4 c23 = texture2D(texture, vec2(vUv.x + px.x, vUv.y) );', // mid right\n 'vec4 c31 = texture2D(texture, vec2(vUv.x - px.x, vUv.y + px.y) );', // bottom left\n 'vec4 c32 = texture2D(texture, vec2(vUv.x, vUv.y + px.y) );', // bottom center\n 'vec4 c33 = texture2D(texture, vUv + px );', // bottom right\n 'gl_FragColor = ',\n 'c11 * m[0] + c12 * m[1] + c22 * m[2] +',\n 'c21 * m[3] + c22 * m[4] + c23 * m[5] +',\n 'c31 * m[6] + c32 * m[7] + c33 * m[8];',\n 'gl_FragColor.a = c22.a;',\n '}',\n ].join('\\n');\n\n _filter.detectEdges = function () {\n _filter.convolution.call(this, [\n 0, 1, 0,\n 1, -4, 1,\n 0, 1, 0,\n ]);\n };\n\n _filter.sobelX = function () {\n _filter.convolution.call(this, [\n -1, 0, 1,\n -2, 0, 2,\n -1, 0, 1,\n ]);\n };\n\n _filter.sobelY = function () {\n _filter.convolution.call(this, [\n -1, -2, -1,\n 0, 0, 0,\n 1, 2, 1,\n ]);\n };\n\n _filter.sharpen = function (amount) {\n const a = amount || 1;\n _filter.convolution.call(this, [\n 0, -1 * a, 0,\n -1 * a, 1 + 4 * a, -1 * a,\n 0, -1 * a, 0,\n ]);\n };\n\n _filter.emboss = function (size) {\n const s = size || 1;\n _filter.convolution.call(this, [\n -2 * s, -1 * s, 0,\n -1 * s, 1, 1 * s,\n 0, 1 * s, 2 * s,\n ]);\n };\n\n // -------------------------------------------------------------------------\n // Blur Filter\n _filter.blur = function (size) {\n const blurSizeX = (size / 7) / _width;\n const blurSizeY = (size / 7) / _height;\n const program = _compileShader(_filter.blur.SHADER);\n // Vertical\n gl.uniform2f(program.uniform.px, 0, blurSizeY);\n _draw(DRAW.INTERMEDIATE);\n // Horizontal\n gl.uniform2f(program.uniform.px, blurSizeX, 0);\n _draw();\n };\n\n _filter.blur.SHADER = [\n 'precision highp float;',\n 'varying vec2 vUv;',\n 'uniform sampler2D texture;',\n 'uniform vec2 px;',\n 'void main(void) {',\n 'gl_FragColor = vec4(0.0);',\n 'gl_FragColor += texture2D(texture, vUv + vec2(-7.0*px.x, -7.0*px.y))*0.0044299121055113265;',\n 'gl_FragColor += texture2D(texture, vUv + vec2(-6.0*px.x, -6.0*px.y))*0.00895781211794;',\n 'gl_FragColor += texture2D(texture, vUv + vec2(-5.0*px.x, -5.0*px.y))*0.0215963866053;',\n 'gl_FragColor += texture2D(texture, vUv + vec2(-4.0*px.x, -4.0*px.y))*0.0443683338718;',\n 'gl_FragColor += texture2D(texture, vUv + vec2(-3.0*px.x, -3.0*px.y))*0.0776744219933;',\n 'gl_FragColor += texture2D(texture, vUv + vec2(-2.0*px.x, -2.0*px.y))*0.115876621105;',\n 'gl_FragColor += texture2D(texture, vUv + vec2(-1.0*px.x, -1.0*px.y))*0.147308056121;',\n 'gl_FragColor += texture2D(texture, vUv )*0.159576912161;',\n 'gl_FragColor += texture2D(texture, vUv + vec2( 1.0*px.x, 1.0*px.y))*0.147308056121;',\n 'gl_FragColor += texture2D(texture, vUv + vec2( 2.0*px.x, 2.0*px.y))*0.115876621105;',\n 'gl_FragColor += texture2D(texture, vUv + vec2( 3.0*px.x, 3.0*px.y))*0.0776744219933;',\n 'gl_FragColor += texture2D(texture, vUv + vec2( 4.0*px.x, 4.0*px.y))*0.0443683338718;',\n 'gl_FragColor += texture2D(texture, vUv + vec2( 5.0*px.x, 5.0*px.y))*0.0215963866053;',\n 'gl_FragColor += texture2D(texture, vUv + vec2( 6.0*px.x, 6.0*px.y))*0.00895781211794;',\n 'gl_FragColor += texture2D(texture, vUv + vec2( 7.0*px.x, 7.0*px.y))*0.0044299121055113265;',\n '}',\n ].join('\\n');\n\n // -------------------------------------------------------------------------\n // Pixelate Filter\n _filter.pixelate = function (size) {\n const blurSizeX = (size) / _width;\n const blurSizeY = (size) / _height;\n const program = _compileShader(_filter.pixelate.SHADER);\n // Horizontal\n gl.uniform2f(program.uniform.size, blurSizeX, blurSizeY);\n _draw();\n };\n\n _filter.pixelate.SHADER = [\n 'precision highp float;',\n 'varying vec2 vUv;',\n 'uniform vec2 size;',\n 'uniform sampler2D texture;',\n 'vec2 pixelate(vec2 coord, vec2 size) {',\n 'return floor( coord / size ) * size;',\n '}',\n 'void main(void) {',\n 'gl_FragColor = vec4(0.0);',\n 'vec2 coord = pixelate(vUv, size);',\n 'gl_FragColor += texture2D(texture, coord);',\n '}',\n ].join('\\n');\n}\n", "// @ts-nocheck\n\nimport { log } from './log';\nimport * as tf from '../dist/tfjs.esm.js';\nimport * as fxImage from './imagefx';\n\n// internal temp canvases\nlet inCanvas = null;\nlet outCanvas = null;\n// instance of fximage\nlet fx = null;\n\n// process input image and return tensor\n// input can be tensor, imagedata, htmlimageelement, htmlvideoelement\n// input is resized and run through imagefx filter\nexport function process(input, config) {\n let tensor;\n if (input instanceof tf.Tensor) {\n tensor = tf.clone(input);\n } else {\n const originalWidth = input.naturalWidth || input.videoWidth || input.width || (input.shape && (input.shape[1] > 0));\n const originalHeight = input.naturalHeight || input.videoHeight || input.height || (input.shape && (input.shape[2] > 0));\n let targetWidth = originalWidth;\n let targetHeight = originalHeight;\n if (config.filter.width > 0) targetWidth = config.filter.width;\n else if (config.filter.height > 0) targetWidth = originalWidth * (config.filter.height / originalHeight);\n if (config.filter.height > 0) targetHeight = config.filter.height;\n else if (config.filter.width > 0) targetHeight = originalHeight * (config.filter.width / originalWidth);\n if (!targetWidth || !targetHeight) {\n log('Human: invalid input', input);\n return null;\n }\n if (!inCanvas || (inCanvas.width !== targetWidth) || (inCanvas.height !== targetHeight)) {\n inCanvas = (typeof OffscreenCanvas !== 'undefined') ? new OffscreenCanvas(targetWidth, targetHeight) : document.createElement('canvas');\n if (inCanvas.width !== targetWidth) inCanvas.width = targetWidth;\n if (inCanvas.height !== targetHeight) inCanvas.height = targetHeight;\n }\n const ctx = inCanvas.getContext('2d');\n if (input instanceof ImageData) ctx.putImageData(input, 0, 0);\n else ctx.drawImage(input, 0, 0, originalWidth, originalHeight, 0, 0, inCanvas.width, inCanvas.height);\n if (config.filter.enabled) {\n if (!fx || !outCanvas || (inCanvas.width !== outCanvas.width) || (inCanvas.height !== outCanvas.height)) {\n outCanvas = (typeof OffscreenCanvas !== 'undefined') ? new OffscreenCanvas(inCanvas.width, inCanvas.height) : document.createElement('canvas');\n if (outCanvas.width !== inCanvas.width) outCanvas.width = inCanvas.width;\n if (outCanvas.height !== inCanvas.height) outCanvas.height = inCanvas.height;\n log('created FX filter');\n fx = tf.ENV.flags.IS_BROWSER ? new fxImage.GLImageFilter({ canvas: outCanvas }) : null; // && (typeof document !== 'undefined')\n }\n if (!fx) return inCanvas;\n fx.reset();\n fx.addFilter('brightness', config.filter.brightness); // must have at least one filter enabled\n if (config.filter.contrast !== 0) fx.addFilter('contrast', config.filter.contrast);\n if (config.filter.sharpness !== 0) fx.addFilter('sharpen', config.filter.sharpness);\n if (config.filter.blur !== 0) fx.addFilter('blur', config.filter.blur);\n if (config.filter.saturation !== 0) fx.addFilter('saturation', config.filter.saturation);\n if (config.filter.hue !== 0) fx.addFilter('hue', config.filter.hue);\n if (config.filter.negative) fx.addFilter('negative');\n if (config.filter.sepia) fx.addFilter('sepia');\n if (config.filter.vintage) fx.addFilter('brownie');\n if (config.filter.sepia) fx.addFilter('sepia');\n if (config.filter.kodachrome) fx.addFilter('kodachrome');\n if (config.filter.technicolor) fx.addFilter('technicolor');\n if (config.filter.polaroid) fx.addFilter('polaroid');\n if (config.filter.pixelate !== 0) fx.addFilter('pixelate', config.filter.pixelate);\n fx.apply(inCanvas);\n // read pixel data\n /*\n const gl = outCanvas.getContext('webgl');\n if (gl) {\n const glBuffer = new Uint8Array(outCanvas.width * outCanvas.height * 4);\n const pixBuffer = new Uint8Array(outCanvas.width * outCanvas.height * 3);\n gl.readPixels(0, 0, outCanvas.width, outCanvas.height, gl.RGBA, gl.UNSIGNED_BYTE, glBuffer);\n // gl returns rbga while we only need rgb, so discarding alpha channel\n // gl returns starting point as lower left, so need to invert vertical\n let i = 0;\n for (let y = outCanvas.height - 1; y >= 0; y--) {\n for (let x = 0; x < outCanvas.width; x++) {\n const index = (x + y * outCanvas.width) * 4;\n pixBuffer[i++] = glBuffer[index + 0];\n pixBuffer[i++] = glBuffer[index + 1];\n pixBuffer[i++] = glBuffer[index + 2];\n }\n }\n outCanvas.data = pixBuffer;\n }\n */\n } else {\n outCanvas = inCanvas;\n if (fx) fx = null;\n }\n let pixels;\n if (outCanvas.data) {\n const shape = [outCanvas.height, outCanvas.width, 3];\n pixels = tf.tensor3d(outCanvas.data, shape, 'int32');\n } else if ((config.backend === 'webgl') || (outCanvas instanceof ImageData)) {\n // tf kernel-optimized method to get imagedata, also if input is imagedata, just use it\n pixels = tf.browser.fromPixels(outCanvas);\n } else {\n // cpu and wasm kernel does not implement efficient fromPixels method nor we can use canvas as-is, so we do a silly one more canvas\n const tempCanvas = (typeof OffscreenCanvas !== 'undefined') ? new OffscreenCanvas(targetWidth, targetHeight) : document.createElement('canvas');\n tempCanvas.width = targetWidth;\n tempCanvas.height = targetHeight;\n const tempCtx = tempCanvas.getContext('2d');\n tempCtx?.drawImage(outCanvas, 0, 0);\n const data = tempCtx?.getImageData(0, 0, targetWidth, targetHeight);\n pixels = tf.browser.fromPixels(data);\n }\n const casted = pixels.toFloat();\n tensor = casted.expandDims(0);\n pixels.dispose();\n casted.dispose();\n }\n return { tensor, canvas: config.filter.return ? outCanvas : null };\n}\n", "/* eslint-disable indent */\n/* eslint-disable no-multi-spaces */\n\nexport default {\n backend: 'webgl', // select tfjs backend to use\n wasmPath: '../assets/', // path for wasm binaries\n // only used for backend: wasm\n async: true, // execute enabled models in parallel\n // this disables per-model performance data but\n // slightly increases performance\n // cannot be used if profiling is enabled\n profile: false, // enable tfjs profiling\n // this has significant performance impact\n // only enable for debugging purposes\n // currently only implemented for age,gender,emotion models\n deallocate: false, // aggresively deallocate gpu memory after each usage\n // only valid for webgl backend and only during first call\n // cannot be changed unless library is reloaded\n // this has significant performance impact\n // only enable on low-memory devices\n scoped: false, // enable scoped runs\n // some models *may* have memory leaks,\n // this wrapps everything in a local scope at a cost of performance\n // typically not needed\n videoOptimized: true, // perform additional optimizations when input is video,\n // must be disabled for images\n // basically this skips object box boundary detection for every n frames\n // while maintaining in-box detection since objects cannot move that fast\n warmup: 'face', // what to use for human.warmup(), can be 'none', 'face', 'full'\n // warmup pre-initializes all models for faster inference but can take\n // significant time on startup\n filter: {\n enabled: true, // enable image pre-processing filters\n width: 0, // resize input width\n height: 0, // resize input height\n // if both width and height are set to 0, there is no resizing\n // if just one is set, second one is scaled automatically\n // if both are set, values are used as-is\n return: true, // return processed canvas imagedata in result\n brightness: 0, // range: -1 (darken) to 1 (lighten)\n contrast: 0, // range: -1 (reduce contrast) to 1 (increase contrast)\n sharpness: 0, // range: 0 (no sharpening) to 1 (maximum sharpening)\n blur: 0, // range: 0 (no blur) to N (blur radius in pixels)\n saturation: 0, // range: -1 (reduce saturation) to 1 (increase saturation)\n hue: 0, // range: 0 (no change) to 360 (hue rotation in degrees)\n negative: false, // image negative\n sepia: false, // image sepia colors\n vintage: false, // image vintage colors\n kodachrome: false, // image kodachrome colors\n technicolor: false, // image technicolor colors\n polaroid: false, // image polaroid camera effect\n pixelate: 0, // range: 0 (no pixelate) to N (number of pixels to pixelate)\n },\n\n gesture: {\n enabled: true, // enable simple gesture recognition\n },\n\n face: {\n enabled: true, // controls if specified modul is enabled\n // face.enabled is required for all face models:\n // detector, mesh, iris, age, gender, emotion\n // (note: module is not loaded until it is required)\n detector: {\n modelPath: '../models/blazeface-back.json', // can be 'blazeface-front', 'blazeface-front' or 'faceboxes'\n // 'blazeface-front' is blazeface model optimized for large faces such as front-facing camera\n // 'blazeface-back' is blazeface model optimized for smaller and/or distanct faces\n // 'faceboxes' is alternative model to 'blazeface\n inputSize: 256, // fixed value: 128 for front and 256 for 'back'\n rotation: false, // use best-guess rotated face image or just box with rotation as-is\n // false means higher performance, but incorrect mesh mapping if face angle is above 20 degrees\n maxFaces: 10, // maximum number of faces detected in the input\n // should be set to the minimum number for performance\n skipFrames: 11, // how many frames to go without re-running the face bounding box detector\n // only used for video inputs\n // e.g., if model is running st 25 FPS, we can re-use existing bounding\n // box for updated face analysis as the head probably hasn't moved much\n // in short time (10 * 1/25 = 0.25 sec)\n minConfidence: 0.5, // threshold for discarding a prediction\n iouThreshold: 0.2, // threshold for deciding whether boxes overlap too much in\n // non-maximum suppression (0.1 means drop if overlap 10%)\n scoreThreshold: 0.5, // threshold for deciding when to remove boxes based on score\n // in non-maximum suppression,\n // this is applied on detection objects only and before minConfidence\n },\n\n mesh: {\n enabled: true,\n modelPath: '../models/facemesh.json',\n inputSize: 192, // fixed value\n returnRawData: false, // in addition to standard mesh and box values, return raw normalized values as well\n },\n\n iris: {\n enabled: true,\n modelPath: '../models/iris.json',\n inputSize: 64, // fixed value\n },\n\n age: {\n enabled: true,\n modelPath: '../models/age-ssrnet-imdb.json', // can be 'age-ssrnet-imdb' or 'age-ssrnet-wiki'\n // which determines training set for model\n inputSize: 64, // fixed value\n skipFrames: 31, // how many frames to go without re-running the detector\n // only used for video inputs\n },\n\n gender: {\n enabled: true,\n minConfidence: 0.1, // threshold for discarding a prediction\n modelPath: '../models/gender-ssrnet-imdb.json', // can be 'gender', 'gender-ssrnet-imdb' or 'gender-ssrnet-wiki'\n inputSize: 64, // fixed value\n skipFrames: 41, // how many frames to go without re-running the detector\n // only used for video inputs\n },\n\n emotion: {\n enabled: true,\n inputSize: 64, // fixed value\n minConfidence: 0.2, // threshold for discarding a prediction\n skipFrames: 21, // how many frames to go without re-running the detector\n modelPath: '../models/emotion-large.json', // can be 'mini', 'large'\n },\n\n embedding: {\n enabled: false,\n inputSize: 112, // fixed value\n modelPath: '../models/mobilefacenet.json',\n },\n },\n\n body: {\n enabled: true,\n modelPath: '../models/posenet.json',\n inputSize: 257, // fixed value\n maxDetections: 10, // maximum number of people detected in the input\n // should be set to the minimum number for performance\n scoreThreshold: 0.5, // threshold for deciding when to remove boxes based on score\n // in non-maximum suppression\n nmsRadius: 20, // radius for deciding points are too close in non-maximum suppression\n outputStride: 16, // size of block in which to run point detectopn, smaller value means higher resolution\n // defined by model itself, can be 8, 16, or 32\n modelType: 'MobileNet', // Human includes MobileNet version, but you can switch to ResNet\n },\n\n hand: {\n enabled: true,\n rotation: false, // use best-guess rotated hand image or just box with rotation as-is\n // false means higher performance, but incorrect finger mapping if hand is inverted\n inputSize: 256, // fixed value\n skipFrames: 12, // how many frames to go without re-running the hand bounding box detector\n // only used for video inputs\n // e.g., if model is running st 25 FPS, we can re-use existing bounding\n // box for updated hand skeleton analysis as the hand probably\n // hasn't moved much in short time (10 * 1/25 = 0.25 sec)\n minConfidence: 0.1, // threshold for discarding a prediction\n iouThreshold: 0.1, // threshold for deciding whether boxes overlap too much\n // in non-maximum suppression\n scoreThreshold: 0.5, // threshold for deciding when to remove boxes based on\n // score in non-maximum suppression\n maxHands: 1, // maximum number of hands detected in the input\n // should be set to the minimum number for performance\n landmarks: true, // detect hand landmarks or just hand boundary box\n detector: {\n modelPath: '../models/handdetect.json',\n },\n skeleton: {\n modelPath: '../models/handskeleton.json',\n },\n },\n};\n", "// data:image/jpeg;base64,\nexport const face = 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+ "sourcesContent": ["import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as blazeface from './blazeface';\nimport * as facepipeline from './facepipeline';\nimport * as coords from './coords';\n\nexport class MediaPipeFaceMesh {\n facePipeline: any;\n config: any;\n\n constructor(blazeFace, blazeMeshModel, irisModel, config) {\n this.facePipeline = new facepipeline.Pipeline(blazeFace, blazeMeshModel, irisModel, config);\n this.config = config;\n }\n\n async estimateFaces(input, config) {\n const predictions = await this.facePipeline.predict(input, config);\n const results: Array<{}> = [];\n for (const prediction of (predictions || [])) {\n if (prediction.isDisposedInternal) continue; // guard against disposed tensors on long running operations such as pause in middle of processing\n const mesh = prediction.coords ? prediction.coords.arraySync() : null;\n const meshRaw = prediction.rawCoords;\n const annotations = {};\n if (mesh && mesh.length > 0) {\n for (const key of Object.keys(coords.MESH_ANNOTATIONS)) {\n annotations[key] = coords.MESH_ANNOTATIONS[key].map((index) => mesh[index]);\n }\n }\n const boxRaw = (config.face.mesh.returnRawData && prediction.box) ? { topLeft: prediction.box.startPoint, bottomRight: prediction.box.endPoint } : null;\n const box = prediction.box ? [\n Math.max(0, prediction.box.startPoint[0]),\n Math.max(0, prediction.box.startPoint[1]),\n Math.min(input.shape[2], prediction.box.endPoint[0]) - prediction.box.startPoint[0],\n Math.min(input.shape[1], prediction.box.endPoint[1]) - prediction.box.startPoint[1],\n ] : 0;\n results.push({ confidence: prediction.confidence || 0, box, mesh, boxRaw, meshRaw, annotations, image: prediction.image ? tf.clone(prediction.image) : null });\n if (prediction.coords) prediction.coords.dispose();\n if (prediction.image) prediction.image.dispose();\n }\n return results;\n }\n}\n\nlet faceModels = [null, null, null];\nexport async function load(config) {\n // @ts-ignore\n faceModels = await Promise.all([\n (!faceModels[0] && config.face.enabled) ? blazeface.load(config) : null,\n (!faceModels[1] && config.face.mesh.enabled) ? tf.loadGraphModel(config.face.mesh.modelPath, { fromTFHub: config.face.mesh.modelPath.includes('tfhub.dev') }) : null,\n (!faceModels[2] && config.face.iris.enabled) ? tf.loadGraphModel(config.face.iris.modelPath, { fromTFHub: config.face.iris.modelPath.includes('tfhub.dev') }) : null,\n ]);\n const faceMesh = new MediaPipeFaceMesh(faceModels[0], faceModels[1], faceModels[2], config);\n if (config.face.mesh.enabled) log(`load model: ${config.face.mesh.modelPath.match(/\\/(.*)\\./)[1]}`);\n if (config.face.iris.enabled) log(`load model: ${config.face.iris.modelPath.match(/\\/(.*)\\./)[1]}`);\n return faceMesh;\n}\n\nexports.triangulation = coords.TRI468;\n", "export const partNames = [\n 'nose', 'leftEye', 'rightEye', 'leftEar', 'rightEar', 'leftShoulder',\n 'rightShoulder', 'leftElbow', 'rightElbow', 'leftWrist', 'rightWrist',\n 'leftHip', 'rightHip', 'leftKnee', 'rightKnee', 'leftAnkle', 'rightAnkle',\n];\n\nexport const NUM_KEYPOINTS = exports.partNames.length;\n\nexport const partIds = exports.partNames.reduce((result, jointName, i) => {\n result[jointName] = i;\n return result;\n}, {});\n\nconst connectedPartNames = [\n ['leftHip', 'leftShoulder'], ['leftElbow', 'leftShoulder'],\n ['leftElbow', 'leftWrist'], ['leftHip', 'leftKnee'],\n ['leftKnee', 'leftAnkle'], ['rightHip', 'rightShoulder'],\n ['rightElbow', 'rightShoulder'], ['rightElbow', 'rightWrist'],\n ['rightHip', 'rightKnee'], ['rightKnee', 'rightAnkle'],\n ['leftShoulder', 'rightShoulder'], ['leftHip', 'rightHip'],\n];\nexport const connectedPartIndices = connectedPartNames.map(([jointNameA, jointNameB]) => ([partIds[jointNameA], partIds[jointNameB]]));\n\nexport const poseChain = [\n ['nose', 'leftEye'], ['leftEye', 'leftEar'], ['nose', 'rightEye'],\n ['rightEye', 'rightEar'], ['nose', 'leftShoulder'],\n ['leftShoulder', 'leftElbow'], ['leftElbow', 'leftWrist'],\n ['leftShoulder', 'leftHip'], ['leftHip', 'leftKnee'],\n ['leftKnee', 'leftAnkle'], ['nose', 'rightShoulder'],\n ['rightShoulder', 'rightElbow'], ['rightElbow', 'rightWrist'],\n ['rightShoulder', 'rightHip'], ['rightHip', 'rightKnee'],\n ['rightKnee', 'rightAnkle'],\n];\n\nexport const partChannels = [\n 'left_face',\n 'right_face',\n 'right_upper_leg_front',\n 'right_lower_leg_back',\n 'right_upper_leg_back',\n 'left_lower_leg_front',\n 'left_upper_leg_front',\n 'left_upper_leg_back',\n 'left_lower_leg_back',\n 'right_feet',\n 'right_lower_leg_front',\n 'left_feet',\n 'torso_front',\n 'torso_back',\n 'right_upper_arm_front',\n 'right_upper_arm_back',\n 'right_lower_arm_back',\n 'left_lower_arm_front',\n 'left_upper_arm_front',\n 'left_upper_arm_back',\n 'left_lower_arm_back',\n 'right_hand',\n 'right_lower_arm_front',\n 'left_hand',\n];\n", "// helper function: wrapper around console output\nexport function log(...msg) {\n const dt = new Date();\n const ts = `${dt.getHours().toString().padStart(2, '0')}:${dt.getMinutes().toString().padStart(2, '0')}:${dt.getSeconds().toString().padStart(2, '0')}.${dt.getMilliseconds().toString().padStart(3, '0')}`;\n // eslint-disable-next-line no-console\n if (msg) console.log(ts, 'Human:', ...msg);\n}\n", "", "// A port of an algorithm by Johannes Baag\u00F8e , 2010\n// http://baagoe.com/en/RandomMusings/javascript/\n// https://github.com/nquinlan/better-random-numbers-for-javascript-mirror\n// Original work is under MIT license -\n\n// Copyright (C) 2010 by Johannes Baag\u00F8e \n//\n// Permission is hereby granted, free of charge, to any person obtaining a copy\n// of this software and associated documentation files (the \"Software\"), to deal\n// in the Software without restriction, including without limitation the rights\n// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell\n// copies of the Software, and to permit persons to whom the Software is\n// furnished to do so, subject to the following conditions:\n// \n// The above copyright notice and this permission notice shall be included in\n// all copies or substantial portions of the Software.\n// \n// THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\n// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\n// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN\n// THE SOFTWARE.\n\n\n\n(function(global, module, define) {\n\nfunction Alea(seed) {\n var me = this, mash = Mash();\n\n me.next = function() {\n var t = 2091639 * me.s0 + me.c * 2.3283064365386963e-10; // 2^-32\n me.s0 = me.s1;\n me.s1 = me.s2;\n return me.s2 = t - (me.c = t | 0);\n };\n\n // Apply the seeding algorithm from Baagoe.\n me.c = 1;\n me.s0 = mash(' ');\n me.s1 = mash(' ');\n me.s2 = mash(' ');\n me.s0 -= mash(seed);\n if (me.s0 < 0) { me.s0 += 1; }\n me.s1 -= mash(seed);\n if (me.s1 < 0) { me.s1 += 1; }\n me.s2 -= mash(seed);\n if (me.s2 < 0) { me.s2 += 1; }\n mash = null;\n}\n\nfunction copy(f, t) {\n t.c = f.c;\n t.s0 = f.s0;\n t.s1 = f.s1;\n t.s2 = f.s2;\n return t;\n}\n\nfunction impl(seed, opts) {\n var xg = new Alea(seed),\n state = opts && opts.state,\n prng = xg.next;\n prng.int32 = function() { return (xg.next() * 0x100000000) | 0; }\n prng.double = function() {\n return prng() + (prng() * 0x200000 | 0) * 1.1102230246251565e-16; // 2^-53\n };\n prng.quick = prng;\n if (state) {\n if (typeof(state) == 'object') copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nfunction Mash() {\n var n = 0xefc8249d;\n\n var mash = function(data) {\n data = data.toString();\n for (var i = 0; i < data.length; i++) {\n n += data.charCodeAt(i);\n var h = 0.02519603282416938 * n;\n n = h >>> 0;\n h -= n;\n h *= n;\n n = h >>> 0;\n h -= n;\n n += h * 0x100000000; // 2^32\n }\n return (n >>> 0) * 2.3283064365386963e-10; // 2^-32\n };\n\n return mash;\n}\n\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.alea = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n\n", "// A Javascript implementaion of the \"xor128\" prng algorithm by\n// George Marsaglia. See http://www.jstatsoft.org/v08/i14/paper\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this, strseed = '';\n\n me.x = 0;\n me.y = 0;\n me.z = 0;\n me.w = 0;\n\n // Set up generator function.\n me.next = function() {\n var t = me.x ^ (me.x << 11);\n me.x = me.y;\n me.y = me.z;\n me.z = me.w;\n return me.w ^= (me.w >>> 19) ^ t ^ (t >>> 8);\n };\n\n if (seed === (seed | 0)) {\n // Integer seed.\n me.x = seed;\n } else {\n // String seed.\n strseed += seed;\n }\n\n // Mix in string seed, then discard an initial batch of 64 values.\n for (var k = 0; k < strseed.length + 64; k++) {\n me.x ^= strseed.charCodeAt(k) | 0;\n me.next();\n }\n}\n\nfunction copy(f, t) {\n t.x = f.x;\n t.y = f.y;\n t.z = f.z;\n t.w = f.w;\n return t;\n}\n\nfunction impl(seed, opts) {\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (typeof(state) == 'object') copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.xor128 = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n\n", "// A Javascript implementaion of the \"xorwow\" prng algorithm by\n// George Marsaglia. See http://www.jstatsoft.org/v08/i14/paper\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this, strseed = '';\n\n // Set up generator function.\n me.next = function() {\n var t = (me.x ^ (me.x >>> 2));\n me.x = me.y; me.y = me.z; me.z = me.w; me.w = me.v;\n return (me.d = (me.d + 362437 | 0)) +\n (me.v = (me.v ^ (me.v << 4)) ^ (t ^ (t << 1))) | 0;\n };\n\n me.x = 0;\n me.y = 0;\n me.z = 0;\n me.w = 0;\n me.v = 0;\n\n if (seed === (seed | 0)) {\n // Integer seed.\n me.x = seed;\n } else {\n // String seed.\n strseed += seed;\n }\n\n // Mix in string seed, then discard an initial batch of 64 values.\n for (var k = 0; k < strseed.length + 64; k++) {\n me.x ^= strseed.charCodeAt(k) | 0;\n if (k == strseed.length) {\n me.d = me.x << 10 ^ me.x >>> 4;\n }\n me.next();\n }\n}\n\nfunction copy(f, t) {\n t.x = f.x;\n t.y = f.y;\n t.z = f.z;\n t.w = f.w;\n t.v = f.v;\n t.d = f.d;\n return t;\n}\n\nfunction impl(seed, opts) {\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (typeof(state) == 'object') copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.xorwow = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n\n", "// A Javascript implementaion of the \"xorshift7\" algorithm by\n// Fran\u00E7ois Panneton and Pierre L'ecuyer:\n// \"On the Xorgshift Random Number Generators\"\n// http://saluc.engr.uconn.edu/refs/crypto/rng/panneton05onthexorshift.pdf\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this;\n\n // Set up generator function.\n me.next = function() {\n // Update xor generator.\n var X = me.x, i = me.i, t, v, w;\n t = X[i]; t ^= (t >>> 7); v = t ^ (t << 24);\n t = X[(i + 1) & 7]; v ^= t ^ (t >>> 10);\n t = X[(i + 3) & 7]; v ^= t ^ (t >>> 3);\n t = X[(i + 4) & 7]; v ^= t ^ (t << 7);\n t = X[(i + 7) & 7]; t = t ^ (t << 13); v ^= t ^ (t << 9);\n X[i] = v;\n me.i = (i + 1) & 7;\n return v;\n };\n\n function init(me, seed) {\n var j, w, X = [];\n\n if (seed === (seed | 0)) {\n // Seed state array using a 32-bit integer.\n w = X[0] = seed;\n } else {\n // Seed state using a string.\n seed = '' + seed;\n for (j = 0; j < seed.length; ++j) {\n X[j & 7] = (X[j & 7] << 15) ^\n (seed.charCodeAt(j) + X[(j + 1) & 7] << 13);\n }\n }\n // Enforce an array length of 8, not all zeroes.\n while (X.length < 8) X.push(0);\n for (j = 0; j < 8 && X[j] === 0; ++j);\n if (j == 8) w = X[7] = -1; else w = X[j];\n\n me.x = X;\n me.i = 0;\n\n // Discard an initial 256 values.\n for (j = 256; j > 0; --j) {\n me.next();\n }\n }\n\n init(me, seed);\n}\n\nfunction copy(f, t) {\n t.x = f.x.slice();\n t.i = f.i;\n return t;\n}\n\nfunction impl(seed, opts) {\n if (seed == null) seed = +(new Date);\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (state.x) copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.xorshift7 = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n", "// A Javascript implementaion of Richard Brent's Xorgens xor4096 algorithm.\n//\n// This fast non-cryptographic random number generator is designed for\n// use in Monte-Carlo algorithms. It combines a long-period xorshift\n// generator with a Weyl generator, and it passes all common batteries\n// of stasticial tests for randomness while consuming only a few nanoseconds\n// for each prng generated. For background on the generator, see Brent's\n// paper: \"Some long-period random number generators using shifts and xors.\"\n// http://arxiv.org/pdf/1004.3115v1.pdf\n//\n// Usage:\n//\n// var xor4096 = require('xor4096');\n// random = xor4096(1); // Seed with int32 or string.\n// assert.equal(random(), 0.1520436450538547); // (0, 1) range, 53 bits.\n// assert.equal(random.int32(), 1806534897); // signed int32, 32 bits.\n//\n// For nonzero numeric keys, this impelementation provides a sequence\n// identical to that by Brent's xorgens 3 implementaion in C. This\n// implementation also provides for initalizing the generator with\n// string seeds, or for saving and restoring the state of the generator.\n//\n// On Chrome, this prng benchmarks about 2.1 times slower than\n// Javascript's built-in Math.random().\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this;\n\n // Set up generator function.\n me.next = function() {\n var w = me.w,\n X = me.X, i = me.i, t, v;\n // Update Weyl generator.\n me.w = w = (w + 0x61c88647) | 0;\n // Update xor generator.\n v = X[(i + 34) & 127];\n t = X[i = ((i + 1) & 127)];\n v ^= v << 13;\n t ^= t << 17;\n v ^= v >>> 15;\n t ^= t >>> 12;\n // Update Xor generator array state.\n v = X[i] = v ^ t;\n me.i = i;\n // Result is the combination.\n return (v + (w ^ (w >>> 16))) | 0;\n };\n\n function init(me, seed) {\n var t, v, i, j, w, X = [], limit = 128;\n if (seed === (seed | 0)) {\n // Numeric seeds initialize v, which is used to generates X.\n v = seed;\n seed = null;\n } else {\n // String seeds are mixed into v and X one character at a time.\n seed = seed + '\\0';\n v = 0;\n limit = Math.max(limit, seed.length);\n }\n // Initialize circular array and weyl value.\n for (i = 0, j = -32; j < limit; ++j) {\n // Put the unicode characters into the array, and shuffle them.\n if (seed) v ^= seed.charCodeAt((j + 32) % seed.length);\n // After 32 shuffles, take v as the starting w value.\n if (j === 0) w = v;\n v ^= v << 10;\n v ^= v >>> 15;\n v ^= v << 4;\n v ^= v >>> 13;\n if (j >= 0) {\n w = (w + 0x61c88647) | 0; // Weyl.\n t = (X[j & 127] ^= (v + w)); // Combine xor and weyl to init array.\n i = (0 == t) ? i + 1 : 0; // Count zeroes.\n }\n }\n // We have detected all zeroes; make the key nonzero.\n if (i >= 128) {\n X[(seed && seed.length || 0) & 127] = -1;\n }\n // Run the generator 512 times to further mix the state before using it.\n // Factoring this as a function slows the main generator, so it is just\n // unrolled here. The weyl generator is not advanced while warming up.\n i = 127;\n for (j = 4 * 128; j > 0; --j) {\n v = X[(i + 34) & 127];\n t = X[i = ((i + 1) & 127)];\n v ^= v << 13;\n t ^= t << 17;\n v ^= v >>> 15;\n t ^= t >>> 12;\n X[i] = v ^ t;\n }\n // Storing state as object members is faster than using closure variables.\n me.w = w;\n me.X = X;\n me.i = i;\n }\n\n init(me, seed);\n}\n\nfunction copy(f, t) {\n t.i = f.i;\n t.w = f.w;\n t.X = f.X.slice();\n return t;\n};\n\nfunction impl(seed, opts) {\n if (seed == null) seed = +(new Date);\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (state.X) copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.xor4096 = impl;\n}\n\n})(\n this, // window object or global\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n", "// A Javascript implementaion of the \"Tyche-i\" prng algorithm by\n// Samuel Neves and Filipe Araujo.\n// See https://eden.dei.uc.pt/~sneves/pubs/2011-snfa2.pdf\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this, strseed = '';\n\n // Set up generator function.\n me.next = function() {\n var b = me.b, c = me.c, d = me.d, a = me.a;\n b = (b << 25) ^ (b >>> 7) ^ c;\n c = (c - d) | 0;\n d = (d << 24) ^ (d >>> 8) ^ a;\n a = (a - b) | 0;\n me.b = b = (b << 20) ^ (b >>> 12) ^ c;\n me.c = c = (c - d) | 0;\n me.d = (d << 16) ^ (c >>> 16) ^ a;\n return me.a = (a - b) | 0;\n };\n\n /* The following is non-inverted tyche, which has better internal\n * bit diffusion, but which is about 25% slower than tyche-i in JS.\n me.next = function() {\n var a = me.a, b = me.b, c = me.c, d = me.d;\n a = (me.a + me.b | 0) >>> 0;\n d = me.d ^ a; d = d << 16 ^ d >>> 16;\n c = me.c + d | 0;\n b = me.b ^ c; b = b << 12 ^ d >>> 20;\n me.a = a = a + b | 0;\n d = d ^ a; me.d = d = d << 8 ^ d >>> 24;\n me.c = c = c + d | 0;\n b = b ^ c;\n return me.b = (b << 7 ^ b >>> 25);\n }\n */\n\n me.a = 0;\n me.b = 0;\n me.c = 2654435769 | 0;\n me.d = 1367130551;\n\n if (seed === Math.floor(seed)) {\n // Integer seed.\n me.a = (seed / 0x100000000) | 0;\n me.b = seed | 0;\n } else {\n // String seed.\n strseed += seed;\n }\n\n // Mix in string seed, then discard an initial batch of 64 values.\n for (var k = 0; k < strseed.length + 20; k++) {\n me.b ^= strseed.charCodeAt(k) | 0;\n me.next();\n }\n}\n\nfunction copy(f, t) {\n t.a = f.a;\n t.b = f.b;\n t.c = f.c;\n t.d = f.d;\n return t;\n};\n\nfunction impl(seed, opts) {\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (typeof(state) == 'object') copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.tychei = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n\n", "", "/*\nCopyright 2014 David Bau.\n\nPermission is hereby granted, free of charge, to any person obtaining\na copy of this software and associated documentation files (the\n\"Software\"), to deal in the Software without restriction, including\nwithout limitation the rights to use, copy, modify, merge, publish,\ndistribute, sublicense, and/or sell copies of the Software, and to\npermit persons to whom the Software is furnished to do so, subject to\nthe following conditions:\n\nThe above copyright notice and this permission notice shall be\nincluded in all copies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND,\nEXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF\nMERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.\nIN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY\nCLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,\nTORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE\nSOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.\n\n*/\n\n(function (pool, math) {\n//\n// The following constants are related to IEEE 754 limits.\n//\nvar global = this,\n width = 256, // each RC4 output is 0 <= x < 256\n chunks = 6, // at least six RC4 outputs for each double\n digits = 52, // there are 52 significant digits in a double\n rngname = 'random', // rngname: name for Math.random and Math.seedrandom\n startdenom = math.pow(width, chunks),\n significance = math.pow(2, digits),\n overflow = significance * 2,\n mask = width - 1,\n nodecrypto; // node.js crypto module, initialized at the bottom.\n\n//\n// seedrandom()\n// This is the seedrandom function described above.\n//\nfunction seedrandom(seed, options, callback) {\n var key = [];\n options = (options == true) ? { entropy: true } : (options || {});\n\n // Flatten the seed string or build one from local entropy if needed.\n var shortseed = mixkey(flatten(\n options.entropy ? [seed, tostring(pool)] :\n (seed == null) ? autoseed() : seed, 3), key);\n\n // Use the seed to initialize an ARC4 generator.\n var arc4 = new ARC4(key);\n\n // This function returns a random double in [0, 1) that contains\n // randomness in every bit of the mantissa of the IEEE 754 value.\n var prng = function() {\n var n = arc4.g(chunks), // Start with a numerator n < 2 ^ 48\n d = startdenom, // and denominator d = 2 ^ 48.\n x = 0; // and no 'extra last byte'.\n while (n < significance) { // Fill up all significant digits by\n n = (n + x) * width; // shifting numerator and\n d *= width; // denominator and generating a\n x = arc4.g(1); // new least-significant-byte.\n }\n while (n >= overflow) { // To avoid rounding up, before adding\n n /= 2; // last byte, shift everything\n d /= 2; // right using integer math until\n x >>>= 1; // we have exactly the desired bits.\n }\n return (n + x) / d; // Form the number within [0, 1).\n };\n\n prng.int32 = function() { return arc4.g(4) | 0; }\n prng.quick = function() { return arc4.g(4) / 0x100000000; }\n prng.double = prng;\n\n // Mix the randomness into accumulated entropy.\n mixkey(tostring(arc4.S), pool);\n\n // Calling convention: what to return as a function of prng, seed, is_math.\n return (options.pass || callback ||\n function(prng, seed, is_math_call, state) {\n if (state) {\n // Load the arc4 state from the given state if it has an S array.\n if (state.S) { copy(state, arc4); }\n // Only provide the .state method if requested via options.state.\n prng.state = function() { return copy(arc4, {}); }\n }\n\n // If called as a method of Math (Math.seedrandom()), mutate\n // Math.random because that is how seedrandom.js has worked since v1.0.\n if (is_math_call) { math[rngname] = prng; return seed; }\n\n // Otherwise, it is a newer calling convention, so return the\n // prng directly.\n else return prng;\n })(\n prng,\n shortseed,\n 'global' in options ? options.global : (this == math),\n options.state);\n}\nmath['seed' + rngname] = seedrandom;\n\n//\n// ARC4\n//\n// An ARC4 implementation. The constructor takes a key in the form of\n// an array of at most (width) integers that should be 0 <= x < (width).\n//\n// The g(count) method returns a pseudorandom integer that concatenates\n// the next (count) outputs from ARC4. Its return value is a number x\n// that is in the range 0 <= x < (width ^ count).\n//\nfunction ARC4(key) {\n var t, keylen = key.length,\n me = this, i = 0, j = me.i = me.j = 0, s = me.S = [];\n\n // The empty key [] is treated as [0].\n if (!keylen) { key = [keylen++]; }\n\n // Set up S using the standard key scheduling algorithm.\n while (i < width) {\n s[i] = i++;\n }\n for (i = 0; i < width; i++) {\n s[i] = s[j = mask & (j + key[i % keylen] + (t = s[i]))];\n s[j] = t;\n }\n\n // The \"g\" method returns the next (count) outputs as one number.\n (me.g = function(count) {\n // Using instance members instead of closure state nearly doubles speed.\n var t, r = 0,\n i = me.i, j = me.j, s = me.S;\n while (count--) {\n t = s[i = mask & (i + 1)];\n r = r * width + s[mask & ((s[i] = s[j = mask & (j + t)]) + (s[j] = t))];\n }\n me.i = i; me.j = j;\n return r;\n // For robust unpredictability, the function call below automatically\n // discards an initial batch of values. This is called RC4-drop[256].\n // See http://google.com/search?q=rsa+fluhrer+response&btnI\n })(width);\n}\n\n//\n// copy()\n// Copies internal state of ARC4 to or from a plain object.\n//\nfunction copy(f, t) {\n t.i = f.i;\n t.j = f.j;\n t.S = f.S.slice();\n return t;\n};\n\n//\n// flatten()\n// Converts an object tree to nested arrays of strings.\n//\nfunction flatten(obj, depth) {\n var result = [], typ = (typeof obj), prop;\n if (depth && typ == 'object') {\n for (prop in obj) {\n try { result.push(flatten(obj[prop], depth - 1)); } catch (e) {}\n }\n }\n return (result.length ? result : typ == 'string' ? obj : obj + '\\0');\n}\n\n//\n// mixkey()\n// Mixes a string seed into a key that is an array of integers, and\n// returns a shortened string seed that is equivalent to the result key.\n//\nfunction mixkey(seed, key) {\n var stringseed = seed + '', smear, j = 0;\n while (j < stringseed.length) {\n key[mask & j] =\n mask & ((smear ^= key[mask & j] * 19) + stringseed.charCodeAt(j++));\n }\n return tostring(key);\n}\n\n//\n// autoseed()\n// Returns an object for autoseeding, using window.crypto and Node crypto\n// module if available.\n//\nfunction autoseed() {\n try {\n var out;\n if (nodecrypto && (out = nodecrypto.randomBytes)) {\n // The use of 'out' to remember randomBytes makes tight minified code.\n out = out(width);\n } else {\n out = new Uint8Array(width);\n (global.crypto || global.msCrypto).getRandomValues(out);\n }\n return tostring(out);\n } catch (e) {\n var browser = global.navigator,\n plugins = browser && browser.plugins;\n return [+new Date, global, plugins, global.screen, tostring(pool)];\n }\n}\n\n//\n// tostring()\n// Converts an array of charcodes to a string\n//\nfunction tostring(a) {\n return String.fromCharCode.apply(0, a);\n}\n\n//\n// When seedrandom.js is loaded, we immediately mix a few bits\n// from the built-in RNG into the entropy pool. Because we do\n// not want to interfere with deterministic PRNG state later,\n// seedrandom will not call math.random on its own again after\n// initialization.\n//\nmixkey(math.random(), pool);\n\n//\n// Nodejs and AMD support: export the implementation as a module using\n// either convention.\n//\nif ((typeof module) == 'object' && module.exports) {\n module.exports = seedrandom;\n // When in node.js, try using crypto package for autoseeding.\n try {\n nodecrypto = require('crypto');\n } catch (ex) {}\n} else if ((typeof define) == 'function' && define.amd) {\n define(function() { return seedrandom; });\n}\n\n// End anonymous scope, and pass initial values.\n})(\n [], // pool: entropy pool starts empty\n Math // math: package containing random, pow, and seedrandom\n);\n", "// A library of seedable RNGs implemented in Javascript.\n//\n// Usage:\n//\n// var seedrandom = require('seedrandom');\n// var random = seedrandom(1); // or any seed.\n// var x = random(); // 0 <= x < 1. Every bit is random.\n// var x = random.quick(); // 0 <= x < 1. 32 bits of randomness.\n\n// alea, a 53-bit multiply-with-carry generator by Johannes Baag\u00F8e.\n// Period: ~2^116\n// Reported to pass all BigCrush tests.\nvar alea = require('./lib/alea');\n\n// xor128, a pure xor-shift generator by George Marsaglia.\n// Period: 2^128-1.\n// Reported to fail: MatrixRank and LinearComp.\nvar xor128 = require('./lib/xor128');\n\n// xorwow, George Marsaglia's 160-bit xor-shift combined plus weyl.\n// Period: 2^192-2^32\n// Reported to fail: CollisionOver, SimpPoker, and LinearComp.\nvar xorwow = require('./lib/xorwow');\n\n// xorshift7, by Fran\u00E7ois Panneton and Pierre L'ecuyer, takes\n// a different approach: it adds robustness by allowing more shifts\n// than Marsaglia's original three. It is a 7-shift generator\n// with 256 bits, that passes BigCrush with no systmatic failures.\n// Period 2^256-1.\n// No systematic BigCrush failures reported.\nvar xorshift7 = require('./lib/xorshift7');\n\n// xor4096, by Richard Brent, is a 4096-bit xor-shift with a\n// very long period that also adds a Weyl generator. It also passes\n// BigCrush with no systematic failures. Its long period may\n// be useful if you have many generators and need to avoid\n// collisions.\n// Period: 2^4128-2^32.\n// No systematic BigCrush failures reported.\nvar xor4096 = require('./lib/xor4096');\n\n// Tyche-i, by Samuel Neves and Filipe Araujo, is a bit-shifting random\n// number generator derived from ChaCha, a modern stream cipher.\n// https://eden.dei.uc.pt/~sneves/pubs/2011-snfa2.pdf\n// Period: ~2^127\n// No systematic BigCrush failures reported.\nvar tychei = require('./lib/tychei');\n\n// The original ARC4-based prng included in this library.\n// Period: ~2^1600\nvar sr = require('./seedrandom');\n\nsr.alea = alea;\nsr.xor128 = xor128;\nsr.xorwow = xorwow;\nsr.xorshift7 = xorshift7;\nsr.xor4096 = xor4096;\nsr.tychei = tychei;\n\nmodule.exports = sr;\n", "// A port of an algorithm by Johannes Baag\u00F8e , 2010\n// http://baagoe.com/en/RandomMusings/javascript/\n// https://github.com/nquinlan/better-random-numbers-for-javascript-mirror\n// Original work is under MIT license -\n\n// Copyright (C) 2010 by Johannes Baag\u00F8e \n//\n// Permission is hereby granted, free of charge, to any person obtaining a copy\n// of this software and associated documentation files (the \"Software\"), to deal\n// in the Software without restriction, including without limitation the rights\n// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell\n// copies of the Software, and to permit persons to whom the Software is\n// furnished to do so, subject to the following conditions:\n// \n// The above copyright notice and this permission notice shall be included in\n// all copies or substantial portions of the Software.\n// \n// THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\n// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\n// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN\n// THE SOFTWARE.\n\n\n\n(function(global, module, define) {\n\nfunction Alea(seed) {\n var me = this, mash = Mash();\n\n me.next = function() {\n var t = 2091639 * me.s0 + me.c * 2.3283064365386963e-10; // 2^-32\n me.s0 = me.s1;\n me.s1 = me.s2;\n return me.s2 = t - (me.c = t | 0);\n };\n\n // Apply the seeding algorithm from Baagoe.\n me.c = 1;\n me.s0 = mash(' ');\n me.s1 = mash(' ');\n me.s2 = mash(' ');\n me.s0 -= mash(seed);\n if (me.s0 < 0) { me.s0 += 1; }\n me.s1 -= mash(seed);\n if (me.s1 < 0) { me.s1 += 1; }\n me.s2 -= mash(seed);\n if (me.s2 < 0) { me.s2 += 1; }\n mash = null;\n}\n\nfunction copy(f, t) {\n t.c = f.c;\n t.s0 = f.s0;\n t.s1 = f.s1;\n t.s2 = f.s2;\n return t;\n}\n\nfunction impl(seed, opts) {\n var xg = new Alea(seed),\n state = opts && opts.state,\n prng = xg.next;\n prng.int32 = function() { return (xg.next() * 0x100000000) | 0; }\n prng.double = function() {\n return prng() + (prng() * 0x200000 | 0) * 1.1102230246251565e-16; // 2^-53\n };\n prng.quick = prng;\n if (state) {\n if (typeof(state) == 'object') copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nfunction Mash() {\n var n = 0xefc8249d;\n\n var mash = function(data) {\n data = data.toString();\n for (var i = 0; i < data.length; i++) {\n n += data.charCodeAt(i);\n var h = 0.02519603282416938 * n;\n n = h >>> 0;\n h -= n;\n h *= n;\n n = h >>> 0;\n h -= n;\n n += h * 0x100000000; // 2^32\n }\n return (n >>> 0) * 2.3283064365386963e-10; // 2^-32\n };\n\n return mash;\n}\n\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.alea = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n\n", "// A Javascript implementaion of the \"xor128\" prng algorithm by\n// George Marsaglia. See http://www.jstatsoft.org/v08/i14/paper\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this, strseed = '';\n\n me.x = 0;\n me.y = 0;\n me.z = 0;\n me.w = 0;\n\n // Set up generator function.\n me.next = function() {\n var t = me.x ^ (me.x << 11);\n me.x = me.y;\n me.y = me.z;\n me.z = me.w;\n return me.w ^= (me.w >>> 19) ^ t ^ (t >>> 8);\n };\n\n if (seed === (seed | 0)) {\n // Integer seed.\n me.x = seed;\n } else {\n // String seed.\n strseed += seed;\n }\n\n // Mix in string seed, then discard an initial batch of 64 values.\n for (var k = 0; k < strseed.length + 64; k++) {\n me.x ^= strseed.charCodeAt(k) | 0;\n me.next();\n }\n}\n\nfunction copy(f, t) {\n t.x = f.x;\n t.y = f.y;\n t.z = f.z;\n t.w = f.w;\n return t;\n}\n\nfunction impl(seed, opts) {\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (typeof(state) == 'object') copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.xor128 = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n\n", "// A Javascript implementaion of the \"xorwow\" prng algorithm by\n// George Marsaglia. See http://www.jstatsoft.org/v08/i14/paper\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this, strseed = '';\n\n // Set up generator function.\n me.next = function() {\n var t = (me.x ^ (me.x >>> 2));\n me.x = me.y; me.y = me.z; me.z = me.w; me.w = me.v;\n return (me.d = (me.d + 362437 | 0)) +\n (me.v = (me.v ^ (me.v << 4)) ^ (t ^ (t << 1))) | 0;\n };\n\n me.x = 0;\n me.y = 0;\n me.z = 0;\n me.w = 0;\n me.v = 0;\n\n if (seed === (seed | 0)) {\n // Integer seed.\n me.x = seed;\n } else {\n // String seed.\n strseed += seed;\n }\n\n // Mix in string seed, then discard an initial batch of 64 values.\n for (var k = 0; k < strseed.length + 64; k++) {\n me.x ^= strseed.charCodeAt(k) | 0;\n if (k == strseed.length) {\n me.d = me.x << 10 ^ me.x >>> 4;\n }\n me.next();\n }\n}\n\nfunction copy(f, t) {\n t.x = f.x;\n t.y = f.y;\n t.z = f.z;\n t.w = f.w;\n t.v = f.v;\n t.d = f.d;\n return t;\n}\n\nfunction impl(seed, opts) {\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (typeof(state) == 'object') copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.xorwow = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n\n", "// A Javascript implementaion of the \"xorshift7\" algorithm by\n// Fran\u00E7ois Panneton and Pierre L'ecuyer:\n// \"On the Xorgshift Random Number Generators\"\n// http://saluc.engr.uconn.edu/refs/crypto/rng/panneton05onthexorshift.pdf\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this;\n\n // Set up generator function.\n me.next = function() {\n // Update xor generator.\n var X = me.x, i = me.i, t, v, w;\n t = X[i]; t ^= (t >>> 7); v = t ^ (t << 24);\n t = X[(i + 1) & 7]; v ^= t ^ (t >>> 10);\n t = X[(i + 3) & 7]; v ^= t ^ (t >>> 3);\n t = X[(i + 4) & 7]; v ^= t ^ (t << 7);\n t = X[(i + 7) & 7]; t = t ^ (t << 13); v ^= t ^ (t << 9);\n X[i] = v;\n me.i = (i + 1) & 7;\n return v;\n };\n\n function init(me, seed) {\n var j, w, X = [];\n\n if (seed === (seed | 0)) {\n // Seed state array using a 32-bit integer.\n w = X[0] = seed;\n } else {\n // Seed state using a string.\n seed = '' + seed;\n for (j = 0; j < seed.length; ++j) {\n X[j & 7] = (X[j & 7] << 15) ^\n (seed.charCodeAt(j) + X[(j + 1) & 7] << 13);\n }\n }\n // Enforce an array length of 8, not all zeroes.\n while (X.length < 8) X.push(0);\n for (j = 0; j < 8 && X[j] === 0; ++j);\n if (j == 8) w = X[7] = -1; else w = X[j];\n\n me.x = X;\n me.i = 0;\n\n // Discard an initial 256 values.\n for (j = 256; j > 0; --j) {\n me.next();\n }\n }\n\n init(me, seed);\n}\n\nfunction copy(f, t) {\n t.x = f.x.slice();\n t.i = f.i;\n return t;\n}\n\nfunction impl(seed, opts) {\n if (seed == null) seed = +(new Date);\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (state.x) copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.xorshift7 = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n", "// A Javascript implementaion of Richard Brent's Xorgens xor4096 algorithm.\n//\n// This fast non-cryptographic random number generator is designed for\n// use in Monte-Carlo algorithms. It combines a long-period xorshift\n// generator with a Weyl generator, and it passes all common batteries\n// of stasticial tests for randomness while consuming only a few nanoseconds\n// for each prng generated. For background on the generator, see Brent's\n// paper: \"Some long-period random number generators using shifts and xors.\"\n// http://arxiv.org/pdf/1004.3115v1.pdf\n//\n// Usage:\n//\n// var xor4096 = require('xor4096');\n// random = xor4096(1); // Seed with int32 or string.\n// assert.equal(random(), 0.1520436450538547); // (0, 1) range, 53 bits.\n// assert.equal(random.int32(), 1806534897); // signed int32, 32 bits.\n//\n// For nonzero numeric keys, this impelementation provides a sequence\n// identical to that by Brent's xorgens 3 implementaion in C. This\n// implementation also provides for initalizing the generator with\n// string seeds, or for saving and restoring the state of the generator.\n//\n// On Chrome, this prng benchmarks about 2.1 times slower than\n// Javascript's built-in Math.random().\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this;\n\n // Set up generator function.\n me.next = function() {\n var w = me.w,\n X = me.X, i = me.i, t, v;\n // Update Weyl generator.\n me.w = w = (w + 0x61c88647) | 0;\n // Update xor generator.\n v = X[(i + 34) & 127];\n t = X[i = ((i + 1) & 127)];\n v ^= v << 13;\n t ^= t << 17;\n v ^= v >>> 15;\n t ^= t >>> 12;\n // Update Xor generator array state.\n v = X[i] = v ^ t;\n me.i = i;\n // Result is the combination.\n return (v + (w ^ (w >>> 16))) | 0;\n };\n\n function init(me, seed) {\n var t, v, i, j, w, X = [], limit = 128;\n if (seed === (seed | 0)) {\n // Numeric seeds initialize v, which is used to generates X.\n v = seed;\n seed = null;\n } else {\n // String seeds are mixed into v and X one character at a time.\n seed = seed + '\\0';\n v = 0;\n limit = Math.max(limit, seed.length);\n }\n // Initialize circular array and weyl value.\n for (i = 0, j = -32; j < limit; ++j) {\n // Put the unicode characters into the array, and shuffle them.\n if (seed) v ^= seed.charCodeAt((j + 32) % seed.length);\n // After 32 shuffles, take v as the starting w value.\n if (j === 0) w = v;\n v ^= v << 10;\n v ^= v >>> 15;\n v ^= v << 4;\n v ^= v >>> 13;\n if (j >= 0) {\n w = (w + 0x61c88647) | 0; // Weyl.\n t = (X[j & 127] ^= (v + w)); // Combine xor and weyl to init array.\n i = (0 == t) ? i + 1 : 0; // Count zeroes.\n }\n }\n // We have detected all zeroes; make the key nonzero.\n if (i >= 128) {\n X[(seed && seed.length || 0) & 127] = -1;\n }\n // Run the generator 512 times to further mix the state before using it.\n // Factoring this as a function slows the main generator, so it is just\n // unrolled here. The weyl generator is not advanced while warming up.\n i = 127;\n for (j = 4 * 128; j > 0; --j) {\n v = X[(i + 34) & 127];\n t = X[i = ((i + 1) & 127)];\n v ^= v << 13;\n t ^= t << 17;\n v ^= v >>> 15;\n t ^= t >>> 12;\n X[i] = v ^ t;\n }\n // Storing state as object members is faster than using closure variables.\n me.w = w;\n me.X = X;\n me.i = i;\n }\n\n init(me, seed);\n}\n\nfunction copy(f, t) {\n t.i = f.i;\n t.w = f.w;\n t.X = f.X.slice();\n return t;\n};\n\nfunction impl(seed, opts) {\n if (seed == null) seed = +(new Date);\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (state.X) copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.xor4096 = impl;\n}\n\n})(\n this, // window object or global\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n", "// A Javascript implementaion of the \"Tyche-i\" prng algorithm by\n// Samuel Neves and Filipe Araujo.\n// See https://eden.dei.uc.pt/~sneves/pubs/2011-snfa2.pdf\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this, strseed = '';\n\n // Set up generator function.\n me.next = function() {\n var b = me.b, c = me.c, d = me.d, a = me.a;\n b = (b << 25) ^ (b >>> 7) ^ c;\n c = (c - d) | 0;\n d = (d << 24) ^ (d >>> 8) ^ a;\n a = (a - b) | 0;\n me.b = b = (b << 20) ^ (b >>> 12) ^ c;\n me.c = c = (c - d) | 0;\n me.d = (d << 16) ^ (c >>> 16) ^ a;\n return me.a = (a - b) | 0;\n };\n\n /* The following is non-inverted tyche, which has better internal\n * bit diffusion, but which is about 25% slower than tyche-i in JS.\n me.next = function() {\n var a = me.a, b = me.b, c = me.c, d = me.d;\n a = (me.a + me.b | 0) >>> 0;\n d = me.d ^ a; d = d << 16 ^ d >>> 16;\n c = me.c + d | 0;\n b = me.b ^ c; b = b << 12 ^ d >>> 20;\n me.a = a = a + b | 0;\n d = d ^ a; me.d = d = d << 8 ^ d >>> 24;\n me.c = c = c + d | 0;\n b = b ^ c;\n return me.b = (b << 7 ^ b >>> 25);\n }\n */\n\n me.a = 0;\n me.b = 0;\n me.c = 2654435769 | 0;\n me.d = 1367130551;\n\n if (seed === Math.floor(seed)) {\n // Integer seed.\n me.a = (seed / 0x100000000) | 0;\n me.b = seed | 0;\n } else {\n // String seed.\n strseed += seed;\n }\n\n // Mix in string seed, then discard an initial batch of 64 values.\n for (var k = 0; k < strseed.length + 20; k++) {\n me.b ^= strseed.charCodeAt(k) | 0;\n me.next();\n }\n}\n\nfunction copy(f, t) {\n t.a = f.a;\n t.b = f.b;\n t.c = f.c;\n t.d = f.d;\n return t;\n};\n\nfunction impl(seed, opts) {\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (typeof(state) == 'object') copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.tychei = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n\n", "/*\nCopyright 2014 David Bau.\n\nPermission is hereby granted, free of charge, to any person obtaining\na copy of this software and associated documentation files (the\n\"Software\"), to deal in the Software without restriction, including\nwithout limitation the rights to use, copy, modify, merge, publish,\ndistribute, sublicense, and/or sell copies of the Software, and to\npermit persons to whom the Software is furnished to do so, subject to\nthe following conditions:\n\nThe above copyright notice and this permission notice shall be\nincluded in all copies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND,\nEXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF\nMERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.\nIN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY\nCLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,\nTORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE\nSOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.\n\n*/\n\n(function (pool, math) {\n//\n// The following constants are related to IEEE 754 limits.\n//\nvar global = this,\n width = 256, // each RC4 output is 0 <= x < 256\n chunks = 6, // at least six RC4 outputs for each double\n digits = 52, // there are 52 significant digits in a double\n rngname = 'random', // rngname: name for Math.random and Math.seedrandom\n startdenom = math.pow(width, chunks),\n significance = math.pow(2, digits),\n overflow = significance * 2,\n mask = width - 1,\n nodecrypto; // node.js crypto module, initialized at the bottom.\n\n//\n// seedrandom()\n// This is the seedrandom function described above.\n//\nfunction seedrandom(seed, options, callback) {\n var key = [];\n options = (options == true) ? { entropy: true } : (options || {});\n\n // Flatten the seed string or build one from local entropy if needed.\n var shortseed = mixkey(flatten(\n options.entropy ? [seed, tostring(pool)] :\n (seed == null) ? autoseed() : seed, 3), key);\n\n // Use the seed to initialize an ARC4 generator.\n var arc4 = new ARC4(key);\n\n // This function returns a random double in [0, 1) that contains\n // randomness in every bit of the mantissa of the IEEE 754 value.\n var prng = function() {\n var n = arc4.g(chunks), // Start with a numerator n < 2 ^ 48\n d = startdenom, // and denominator d = 2 ^ 48.\n x = 0; // and no 'extra last byte'.\n while (n < significance) { // Fill up all significant digits by\n n = (n + x) * width; // shifting numerator and\n d *= width; // denominator and generating a\n x = arc4.g(1); // new least-significant-byte.\n }\n while (n >= overflow) { // To avoid rounding up, before adding\n n /= 2; // last byte, shift everything\n d /= 2; // right using integer math until\n x >>>= 1; // we have exactly the desired bits.\n }\n return (n + x) / d; // Form the number within [0, 1).\n };\n\n prng.int32 = function() { return arc4.g(4) | 0; }\n prng.quick = function() { return arc4.g(4) / 0x100000000; }\n prng.double = prng;\n\n // Mix the randomness into accumulated entropy.\n mixkey(tostring(arc4.S), pool);\n\n // Calling convention: what to return as a function of prng, seed, is_math.\n return (options.pass || callback ||\n function(prng, seed, is_math_call, state) {\n if (state) {\n // Load the arc4 state from the given state if it has an S array.\n if (state.S) { copy(state, arc4); }\n // Only provide the .state method if requested via options.state.\n prng.state = function() { return copy(arc4, {}); }\n }\n\n // If called as a method of Math (Math.seedrandom()), mutate\n // Math.random because that is how seedrandom.js has worked since v1.0.\n if (is_math_call) { math[rngname] = prng; return seed; }\n\n // Otherwise, it is a newer calling convention, so return the\n // prng directly.\n else return prng;\n })(\n prng,\n shortseed,\n 'global' in options ? options.global : (this == math),\n options.state);\n}\nmath['seed' + rngname] = seedrandom;\n\n//\n// ARC4\n//\n// An ARC4 implementation. The constructor takes a key in the form of\n// an array of at most (width) integers that should be 0 <= x < (width).\n//\n// The g(count) method returns a pseudorandom integer that concatenates\n// the next (count) outputs from ARC4. Its return value is a number x\n// that is in the range 0 <= x < (width ^ count).\n//\nfunction ARC4(key) {\n var t, keylen = key.length,\n me = this, i = 0, j = me.i = me.j = 0, s = me.S = [];\n\n // The empty key [] is treated as [0].\n if (!keylen) { key = [keylen++]; }\n\n // Set up S using the standard key scheduling algorithm.\n while (i < width) {\n s[i] = i++;\n }\n for (i = 0; i < width; i++) {\n s[i] = s[j = mask & (j + key[i % keylen] + (t = s[i]))];\n s[j] = t;\n }\n\n // The \"g\" method returns the next (count) outputs as one number.\n (me.g = function(count) {\n // Using instance members instead of closure state nearly doubles speed.\n var t, r = 0,\n i = me.i, j = me.j, s = me.S;\n while (count--) {\n t = s[i = mask & (i + 1)];\n r = r * width + s[mask & ((s[i] = s[j = mask & (j + t)]) + (s[j] = t))];\n }\n me.i = i; me.j = j;\n return r;\n // For robust unpredictability, the function call below automatically\n // discards an initial batch of values. This is called RC4-drop[256].\n // See http://google.com/search?q=rsa+fluhrer+response&btnI\n })(width);\n}\n\n//\n// copy()\n// Copies internal state of ARC4 to or from a plain object.\n//\nfunction copy(f, t) {\n t.i = f.i;\n t.j = f.j;\n t.S = f.S.slice();\n return t;\n};\n\n//\n// flatten()\n// Converts an object tree to nested arrays of strings.\n//\nfunction flatten(obj, depth) {\n var result = [], typ = (typeof obj), prop;\n if (depth && typ == 'object') {\n for (prop in obj) {\n try { result.push(flatten(obj[prop], depth - 1)); } catch (e) {}\n }\n }\n return (result.length ? result : typ == 'string' ? obj : obj + '\\0');\n}\n\n//\n// mixkey()\n// Mixes a string seed into a key that is an array of integers, and\n// returns a shortened string seed that is equivalent to the result key.\n//\nfunction mixkey(seed, key) {\n var stringseed = seed + '', smear, j = 0;\n while (j < stringseed.length) {\n key[mask & j] =\n mask & ((smear ^= key[mask & j] * 19) + stringseed.charCodeAt(j++));\n }\n return tostring(key);\n}\n\n//\n// autoseed()\n// Returns an object for autoseeding, using window.crypto and Node crypto\n// module if available.\n//\nfunction autoseed() {\n try {\n var out;\n if (nodecrypto && (out = nodecrypto.randomBytes)) {\n // The use of 'out' to remember randomBytes makes tight minified code.\n out = out(width);\n } else {\n out = new Uint8Array(width);\n (global.crypto || global.msCrypto).getRandomValues(out);\n }\n return tostring(out);\n } catch (e) {\n var browser = global.navigator,\n plugins = browser && browser.plugins;\n return [+new Date, global, plugins, global.screen, tostring(pool)];\n }\n}\n\n//\n// tostring()\n// Converts an array of charcodes to a string\n//\nfunction tostring(a) {\n return String.fromCharCode.apply(0, a);\n}\n\n//\n// When seedrandom.js is loaded, we immediately mix a few bits\n// from the built-in RNG into the entropy pool. Because we do\n// not want to interfere with deterministic PRNG state later,\n// seedrandom will not call math.random on its own again after\n// initialization.\n//\nmixkey(math.random(), pool);\n\n//\n// Nodejs and AMD support: export the implementation as a module using\n// either convention.\n//\nif ((typeof module) == 'object' && module.exports) {\n module.exports = seedrandom;\n // When in node.js, try using crypto package for autoseeding.\n try {\n nodecrypto = require('crypto');\n } catch (ex) {}\n} else if ((typeof define) == 'function' && define.amd) {\n define(function() { return seedrandom; });\n}\n\n// End anonymous scope, and pass initial values.\n})(\n [], // pool: entropy pool starts empty\n Math // math: package containing random, pow, and seedrandom\n);\n", "// A library of seedable RNGs implemented in Javascript.\n//\n// Usage:\n//\n// var seedrandom = require('seedrandom');\n// var random = seedrandom(1); // or any seed.\n// var x = random(); // 0 <= x < 1. Every bit is random.\n// var x = random.quick(); // 0 <= x < 1. 32 bits of randomness.\n\n// alea, a 53-bit multiply-with-carry generator by Johannes Baag\u00F8e.\n// Period: ~2^116\n// Reported to pass all BigCrush tests.\nvar alea = require('./lib/alea');\n\n// xor128, a pure xor-shift generator by George Marsaglia.\n// Period: 2^128-1.\n// Reported to fail: MatrixRank and LinearComp.\nvar xor128 = require('./lib/xor128');\n\n// xorwow, George Marsaglia's 160-bit xor-shift combined plus weyl.\n// Period: 2^192-2^32\n// Reported to fail: CollisionOver, SimpPoker, and LinearComp.\nvar xorwow = require('./lib/xorwow');\n\n// xorshift7, by Fran\u00E7ois Panneton and Pierre L'ecuyer, takes\n// a different approach: it adds robustness by allowing more shifts\n// than Marsaglia's original three. It is a 7-shift generator\n// with 256 bits, that passes BigCrush with no systmatic failures.\n// Period 2^256-1.\n// No systematic BigCrush failures reported.\nvar xorshift7 = require('./lib/xorshift7');\n\n// xor4096, by Richard Brent, is a 4096-bit xor-shift with a\n// very long period that also adds a Weyl generator. It also passes\n// BigCrush with no systematic failures. Its long period may\n// be useful if you have many generators and need to avoid\n// collisions.\n// Period: 2^4128-2^32.\n// No systematic BigCrush failures reported.\nvar xor4096 = require('./lib/xor4096');\n\n// Tyche-i, by Samuel Neves and Filipe Araujo, is a bit-shifting random\n// number generator derived from ChaCha, a modern stream cipher.\n// https://eden.dei.uc.pt/~sneves/pubs/2011-snfa2.pdf\n// Period: ~2^127\n// No systematic BigCrush failures reported.\nvar tychei = require('./lib/tychei');\n\n// The original ARC4-based prng included in this library.\n// Period: ~2^1600\nvar sr = require('./seedrandom');\n\nsr.alea = alea;\nsr.xor128 = xor128;\nsr.xorwow = xorwow;\nsr.xorshift7 = xorshift7;\nsr.xor4096 = xor4096;\nsr.tychei = tychei;\n\nmodule.exports = sr;\n", "", "", "", "\nvar WasmBackendModuleThreadedSimd = (function() {\n var _scriptDir = typeof document !== 'undefined' && document.currentScript ? document.currentScript.src : undefined;\n if (typeof __filename !== 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xhr=new XMLHttpRequest;xhr.open(\"GET\",url,false);xhr.responseType=\"arraybuffer\";xhr.send(null);return new Uint8Array(xhr.response)}}readAsync=function readAsync(url,onload,onerror){var xhr=new XMLHttpRequest;xhr.open(\"GET\",url,true);xhr.responseType=\"arraybuffer\";xhr.onload=function xhr_onload(){if(xhr.status==200||xhr.status==0&&xhr.response){onload(xhr.response);return}onerror()};xhr.onerror=onerror;xhr.send(null)}}setWindowTitle=function(title){document.title=title}}else{}if(ENVIRONMENT_IS_NODE){if(typeof performance===\"undefined\"){performance=require(\"perf_hooks\").performance}}var out=Module[\"print\"]||console.log.bind(console);var err=Module[\"printErr\"]||console.warn.bind(console);for(key in moduleOverrides){if(moduleOverrides.hasOwnProperty(key)){Module[key]=moduleOverrides[key]}}moduleOverrides=null;if(Module[\"arguments\"])arguments_=Module[\"arguments\"];if(Module[\"thisProgram\"])thisProgram=Module[\"thisProgram\"];if(Module[\"quit\"])quit_=Module[\"quit\"];var Atomics_load=Atomics.load;var Atomics_store=Atomics.store;var Atomics_compareExchange=Atomics.compareExchange;var wasmBinary;if(Module[\"wasmBinary\"])wasmBinary=Module[\"wasmBinary\"];var noExitRuntime;if(Module[\"noExitRuntime\"])noExitRuntime=Module[\"noExitRuntime\"];if(typeof WebAssembly!==\"object\"){err(\"no native wasm support detected\")}var wasmMemory;var wasmTable=new WebAssembly.Table({\"initial\":171,\"maximum\":171+0,\"element\":\"anyfunc\"});var wasmModule;var threadInfoStruct=0;var selfThreadId=0;var ABORT=false;var EXITSTATUS=0;function assert(condition,text){if(!condition){abort(\"Assertion failed: \"+text)}}function getCFunc(ident){var func=Module[\"_\"+ident];assert(func,\"Cannot call unknown function \"+ident+\", make sure it is exported\");return func}function ccall(ident,returnType,argTypes,args,opts){var toC={\"string\":function(str){var ret=0;if(str!==null&&str!==undefined&&str!==0){var len=(str.length<<2)+1;ret=stackAlloc(len);stringToUTF8(str,ret,len)}return ret},\"array\":function(arr){var ret=stackAlloc(arr.length);writeArrayToMemory(arr,ret);return ret}};function convertReturnValue(ret){if(returnType===\"string\")return UTF8ToString(ret);if(returnType===\"boolean\")return Boolean(ret);return ret}var func=getCFunc(ident);var cArgs=[];var stack=0;if(args){for(var i=0;i=endIdx)){var u0=heap[idx++];if(!u0)return str;if(!(u0&128)){str+=String.fromCharCode(u0);continue}var u1=heap[idx++]&63;if((u0&224)==192){str+=String.fromCharCode((u0&31)<<6|u1);continue}var u2=heap[idx++]&63;if((u0&240)==224){u0=(u0&15)<<12|u1<<6|u2}else{u0=(u0&7)<<18|u1<<12|u2<<6|heap[idx++]&63}if(u0<65536){str+=String.fromCharCode(u0)}else{var ch=u0-65536;str+=String.fromCharCode(55296|ch>>10,56320|ch&1023)}}return str}function UTF8ToString(ptr,maxBytesToRead){return ptr?UTF8ArrayToString(GROWABLE_HEAP_U8(),ptr,maxBytesToRead):\"\"}function stringToUTF8Array(str,heap,outIdx,maxBytesToWrite){if(!(maxBytesToWrite>0))return 0;var startIdx=outIdx;var endIdx=outIdx+maxBytesToWrite-1;for(var i=0;i=55296&&u<=57343){var u1=str.charCodeAt(++i);u=65536+((u&1023)<<10)|u1&1023}if(u<=127){if(outIdx>=endIdx)break;heap[outIdx++]=u}else if(u<=2047){if(outIdx+1>=endIdx)break;heap[outIdx++]=192|u>>6;heap[outIdx++]=128|u&63}else if(u<=65535){if(outIdx+2>=endIdx)break;heap[outIdx++]=224|u>>12;heap[outIdx++]=128|u>>6&63;heap[outIdx++]=128|u&63}else{if(outIdx+3>=endIdx)break;heap[outIdx++]=240|u>>18;heap[outIdx++]=128|u>>12&63;heap[outIdx++]=128|u>>6&63;heap[outIdx++]=128|u&63}}heap[outIdx]=0;return outIdx-startIdx}function stringToUTF8(str,outPtr,maxBytesToWrite){return stringToUTF8Array(str,GROWABLE_HEAP_U8(),outPtr,maxBytesToWrite)}function lengthBytesUTF8(str){var len=0;for(var i=0;i=55296&&u<=57343)u=65536+((u&1023)<<10)|str.charCodeAt(++i)&1023;if(u<=127)++len;else if(u<=2047)len+=2;else if(u<=65535)len+=3;else len+=4}return len}function writeArrayToMemory(array,buffer){GROWABLE_HEAP_I8().set(array,buffer)}var WASM_PAGE_SIZE=65536;function alignUp(x,multiple){if(x%multiple>0){x+=multiple-x%multiple}return x}var buffer,HEAP8,HEAPU8,HEAP16,HEAPU16,HEAP32,HEAPU32,HEAPF32,HEAPF64;function updateGlobalBufferAndViews(buf){buffer=buf;Module[\"HEAP8\"]=HEAP8=new Int8Array(buf);Module[\"HEAP16\"]=HEAP16=new Int16Array(buf);Module[\"HEAP32\"]=HEAP32=new Int32Array(buf);Module[\"HEAPU8\"]=HEAPU8=new Uint8Array(buf);Module[\"HEAPU16\"]=HEAPU16=new Uint16Array(buf);Module[\"HEAPU32\"]=HEAPU32=new Uint32Array(buf);Module[\"HEAPF32\"]=HEAPF32=new Float32Array(buf);Module[\"HEAPF64\"]=HEAPF64=new Float64Array(buf)}var STACK_BASE=5256464,STACKTOP=STACK_BASE,STACK_MAX=13584,DYNAMIC_BASE=5256464,DYNAMICTOP_PTR=12656;if(ENVIRONMENT_IS_PTHREAD){}var INITIAL_INITIAL_MEMORY=Module[\"INITIAL_MEMORY\"]||16777216;if(ENVIRONMENT_IS_PTHREAD){wasmMemory=Module[\"wasmMemory\"];buffer=Module[\"buffer\"]}else{if(Module[\"wasmMemory\"]){wasmMemory=Module[\"wasmMemory\"]}else{wasmMemory=new WebAssembly.Memory({\"initial\":INITIAL_INITIAL_MEMORY/WASM_PAGE_SIZE,\"maximum\":2147483648/WASM_PAGE_SIZE,\"shared\":true});if(!(wasmMemory.buffer instanceof SharedArrayBuffer)){err(\"requested a shared WebAssembly.Memory but the returned buffer is not a SharedArrayBuffer, indicating that while the browser has SharedArrayBuffer it does not have WebAssembly threads support - you may need to set a flag\");if(ENVIRONMENT_IS_NODE){console.log(\"(on node you may need: --experimental-wasm-threads --experimental-wasm-bulk-memory and also use a recent version)\")}throw Error(\"bad memory\")}}}if(wasmMemory){buffer=wasmMemory.buffer}INITIAL_INITIAL_MEMORY=buffer.byteLength;updateGlobalBufferAndViews(buffer);if(!ENVIRONMENT_IS_PTHREAD){GROWABLE_HEAP_I32()[DYNAMICTOP_PTR>>2]=DYNAMIC_BASE}function callRuntimeCallbacks(callbacks){while(callbacks.length>0){var callback=callbacks.shift();if(typeof callback==\"function\"){callback(Module);continue}var func=callback.func;if(typeof func===\"number\"){if(callback.arg===undefined){Module[\"dynCall_v\"](func)}else{Module[\"dynCall_vi\"](func,callback.arg)}}else{func(callback.arg===undefined?null:callback.arg)}}}var __ATPRERUN__=[];var __ATINIT__=[];var __ATMAIN__=[];var __ATEXIT__=[];var __ATPOSTRUN__=[];var runtimeInitialized=false;if(ENVIRONMENT_IS_PTHREAD)runtimeInitialized=true;function preRun(){if(ENVIRONMENT_IS_PTHREAD)return;if(Module[\"preRun\"]){if(typeof Module[\"preRun\"]==\"function\")Module[\"preRun\"]=[Module[\"preRun\"]];while(Module[\"preRun\"].length){addOnPreRun(Module[\"preRun\"].shift())}}callRuntimeCallbacks(__ATPRERUN__)}function initRuntime(){runtimeInitialized=true;callRuntimeCallbacks(__ATINIT__)}function preMain(){if(ENVIRONMENT_IS_PTHREAD)return;callRuntimeCallbacks(__ATMAIN__)}function postRun(){if(ENVIRONMENT_IS_PTHREAD)return;if(Module[\"postRun\"]){if(typeof Module[\"postRun\"]==\"function\")Module[\"postRun\"]=[Module[\"postRun\"]];while(Module[\"postRun\"].length){addOnPostRun(Module[\"postRun\"].shift())}}callRuntimeCallbacks(__ATPOSTRUN__)}function addOnPreRun(cb){__ATPRERUN__.unshift(cb)}function addOnPostRun(cb){__ATPOSTRUN__.unshift(cb)}var Math_ceil=Math.ceil;var Math_floor=Math.floor;var runDependencies=0;var runDependencyWatcher=null;var dependenciesFulfilled=null;function addRunDependency(id){assert(!ENVIRONMENT_IS_PTHREAD,\"addRunDependency cannot be used in a pthread worker\");runDependencies++;if(Module[\"monitorRunDependencies\"]){Module[\"monitorRunDependencies\"](runDependencies)}}function removeRunDependency(id){runDependencies--;if(Module[\"monitorRunDependencies\"]){Module[\"monitorRunDependencies\"](runDependencies)}if(runDependencies==0){if(runDependencyWatcher!==null){clearInterval(runDependencyWatcher);runDependencyWatcher=null}if(dependenciesFulfilled){var callback=dependenciesFulfilled;dependenciesFulfilled=null;callback()}}}Module[\"preloadedImages\"]={};Module[\"preloadedAudios\"]={};function abort(what){if(Module[\"onAbort\"]){Module[\"onAbort\"](what)}if(ENVIRONMENT_IS_PTHREAD)console.error(\"Pthread aborting at \"+(new Error).stack);what+=\"\";out(what);err(what);ABORT=true;EXITSTATUS=1;what=\"abort(\"+what+\"). Build with -s ASSERTIONS=1 for more info.\";throw new WebAssembly.RuntimeError(what)}function hasPrefix(str,prefix){return String.prototype.startsWith?str.startsWith(prefix):str.indexOf(prefix)===0}var dataURIPrefix=\"data:application/octet-stream;base64,\";function isDataURI(filename){return hasPrefix(filename,dataURIPrefix)}var fileURIPrefix=\"file://\";function isFileURI(filename){return hasPrefix(filename,fileURIPrefix)}var wasmBinaryFile=\"tfjs-backend-wasm-threaded-simd.wasm\";if(!isDataURI(wasmBinaryFile)){wasmBinaryFile=locateFile(wasmBinaryFile)}function getBinary(){try{if(wasmBinary){return new Uint8Array(wasmBinary)}if(readBinary){return readBinary(wasmBinaryFile)}else{throw\"both async and sync fetching of the wasm failed\"}}catch(err){abort(err)}}function getBinaryPromise(){if(!wasmBinary&&(ENVIRONMENT_IS_WEB||ENVIRONMENT_IS_WORKER)&&typeof fetch===\"function\"&&!isFileURI(wasmBinaryFile)){return fetch(wasmBinaryFile,{credentials:\"same-origin\"}).then(function(response){if(!response[\"ok\"]){throw\"failed to load wasm binary file at '\"+wasmBinaryFile+\"'\"}return response[\"arrayBuffer\"]()}).catch(function(){return getBinary()})}return new Promise(function(resolve,reject){resolve(getBinary())})}function createWasm(){var info={\"a\":asmLibraryArg};function receiveInstance(instance,module){var exports=instance.exports;Module[\"asm\"]=exports;wasmModule=module;if(!ENVIRONMENT_IS_PTHREAD){var numWorkersToLoad=PThread.unusedWorkers.length;PThread.unusedWorkers.forEach(function(w){PThread.loadWasmModuleToWorker(w,function(){if(!--numWorkersToLoad)removeRunDependency(\"wasm-instantiate\")})})}}if(!ENVIRONMENT_IS_PTHREAD){addRunDependency(\"wasm-instantiate\")}function receiveInstantiatedSource(output){receiveInstance(output[\"instance\"],output[\"module\"])}function instantiateArrayBuffer(receiver){return getBinaryPromise().then(function(binary){return WebAssembly.instantiate(binary,info)}).then(receiver,function(reason){err(\"failed to asynchronously prepare wasm: \"+reason);abort(reason)})}function instantiateAsync(){if(!wasmBinary&&typeof WebAssembly.instantiateStreaming===\"function\"&&!isDataURI(wasmBinaryFile)&&!isFileURI(wasmBinaryFile)&&typeof fetch===\"function\"){fetch(wasmBinaryFile,{credentials:\"same-origin\"}).then(function(response){var result=WebAssembly.instantiateStreaming(response,info);return result.then(receiveInstantiatedSource,function(reason){err(\"wasm streaming compile failed: \"+reason);err(\"falling back to ArrayBuffer instantiation\");instantiateArrayBuffer(receiveInstantiatedSource)})})}else{return instantiateArrayBuffer(receiveInstantiatedSource)}}if(Module[\"instantiateWasm\"]){try{var exports=Module[\"instantiateWasm\"](info,receiveInstance);return exports}catch(e){err(\"Module.instantiateWasm callback failed with error: \"+e);return false}}instantiateAsync();return{}}var ASM_CONSTS={};function initPthreadsJS(){PThread.initRuntime()}if(!ENVIRONMENT_IS_PTHREAD)__ATINIT__.push({func:function(){___wasm_call_ctors()}});var __pthread_ptr=0;var __pthread_is_main_runtime_thread=0;var __pthread_is_main_browser_thread=0;function __register_pthread_ptr(pthreadPtr,isMainBrowserThread,isMainRuntimeThread){pthreadPtr=pthreadPtr|0;isMainBrowserThread=isMainBrowserThread|0;isMainRuntimeThread=isMainRuntimeThread|0;__pthread_ptr=pthreadPtr;__pthread_is_main_browser_thread=isMainBrowserThread;__pthread_is_main_runtime_thread=isMainRuntimeThread}Module[\"__register_pthread_ptr\"]=__register_pthread_ptr;var ERRNO_CODES={EPERM:63,ENOENT:44,ESRCH:71,EINTR:27,EIO:29,ENXIO:60,E2BIG:1,ENOEXEC:45,EBADF:8,ECHILD:12,EAGAIN:6,EWOULDBLOCK:6,ENOMEM:48,EACCES:2,EFAULT:21,ENOTBLK:105,EBUSY:10,EEXIST:20,EXDEV:75,ENODEV:43,ENOTDIR:54,EISDIR:31,EINVAL:28,ENFILE:41,EMFILE:33,ENOTTY:59,ETXTBSY:74,EFBIG:22,ENOSPC:51,ESPIPE:70,EROFS:69,EMLINK:34,EPIPE:64,EDOM:18,ERANGE:68,ENOMSG:49,EIDRM:24,ECHRNG:106,EL2NSYNC:156,EL3HLT:107,EL3RST:108,ELNRNG:109,EUNATCH:110,ENOCSI:111,EL2HLT:112,EDEADLK:16,ENOLCK:46,EBADE:113,EBADR:114,EXFULL:115,ENOANO:104,EBADRQC:103,EBADSLT:102,EDEADLOCK:16,EBFONT:101,ENOSTR:100,ENODATA:116,ETIME:117,ENOSR:118,ENONET:119,ENOPKG:120,EREMOTE:121,ENOLINK:47,EADV:122,ESRMNT:123,ECOMM:124,EPROTO:65,EMULTIHOP:36,EDOTDOT:125,EBADMSG:9,ENOTUNIQ:126,EBADFD:127,EREMCHG:128,ELIBACC:129,ELIBBAD:130,ELIBSCN:131,ELIBMAX:132,ELIBEXEC:133,ENOSYS:52,ENOTEMPTY:55,ENAMETOOLONG:37,ELOOP:32,EOPNOTSUPP:138,EPFNOSUPPORT:139,ECONNRESET:15,ENOBUFS:42,EAFNOSUPPORT:5,EPROTOTYPE:67,ENOTSOCK:57,ENOPROTOOPT:50,ESHUTDOWN:140,ECONNREFUSED:14,EADDRINUSE:3,ECONNABORTED:13,ENETUNREACH:40,ENETDOWN:38,ETIMEDOUT:73,EHOSTDOWN:142,EHOSTUNREACH:23,EINPROGRESS:26,EALREADY:7,EDESTADDRREQ:17,EMSGSIZE:35,EPROTONOSUPPORT:66,ESOCKTNOSUPPORT:137,EADDRNOTAVAIL:4,ENETRESET:39,EISCONN:30,ENOTCONN:53,ETOOMANYREFS:141,EUSERS:136,EDQUOT:19,ESTALE:72,ENOTSUP:138,ENOMEDIUM:148,EILSEQ:25,EOVERFLOW:61,ECANCELED:11,ENOTRECOVERABLE:56,EOWNERDEAD:62,ESTRPIPE:135};var __main_thread_futex_wait_address=13568;function _emscripten_futex_wake(addr,count){if(addr<=0||addr>GROWABLE_HEAP_I8().length||addr&3!=0||count<0)return-28;if(count==0)return 0;if(count>=2147483647)count=Infinity;var mainThreadWaitAddress=Atomics.load(GROWABLE_HEAP_I32(),__main_thread_futex_wait_address>>2);var mainThreadWoken=0;if(mainThreadWaitAddress==addr){var loadedAddr=Atomics.compareExchange(GROWABLE_HEAP_I32(),__main_thread_futex_wait_address>>2,mainThreadWaitAddress,0);if(loadedAddr==mainThreadWaitAddress){--count;mainThreadWoken=1;if(count<=0)return 1}}var ret=Atomics.notify(GROWABLE_HEAP_I32(),addr>>2,count);if(ret>=0)return ret+mainThreadWoken;throw\"Atomics.notify returned an unexpected value \"+ret}Module[\"_emscripten_futex_wake\"]=_emscripten_futex_wake;function __kill_thread(pthread_ptr){if(ENVIRONMENT_IS_PTHREAD)throw\"Internal Error! _kill_thread() can only ever be called from main application thread!\";if(!pthread_ptr)throw\"Internal Error! Null pthread_ptr in _kill_thread!\";GROWABLE_HEAP_I32()[pthread_ptr+12>>2]=0;var pthread=PThread.pthreads[pthread_ptr];pthread.worker.terminate();PThread.freeThreadData(pthread);PThread.runningWorkers.splice(PThread.runningWorkers.indexOf(pthread.worker),1);pthread.worker.pthread=undefined}function __cancel_thread(pthread_ptr){if(ENVIRONMENT_IS_PTHREAD)throw\"Internal Error! _cancel_thread() can only ever be called from main application thread!\";if(!pthread_ptr)throw\"Internal Error! Null pthread_ptr in _cancel_thread!\";var pthread=PThread.pthreads[pthread_ptr];pthread.worker.postMessage({\"cmd\":\"cancel\"})}function __cleanup_thread(pthread_ptr){if(ENVIRONMENT_IS_PTHREAD)throw\"Internal Error! _cleanup_thread() can only ever be called from main application thread!\";if(!pthread_ptr)throw\"Internal Error! Null pthread_ptr in _cleanup_thread!\";GROWABLE_HEAP_I32()[pthread_ptr+12>>2]=0;var pthread=PThread.pthreads[pthread_ptr];if(pthread){var worker=pthread.worker;PThread.returnWorkerToPool(worker)}}var PThread={MAIN_THREAD_ID:1,mainThreadInfo:{schedPolicy:0,schedPrio:0},unusedWorkers:[],runningWorkers:[],initRuntime:function(){__register_pthread_ptr(PThread.mainThreadBlock,!ENVIRONMENT_IS_WORKER,1);_emscripten_register_main_browser_thread_id(PThread.mainThreadBlock)},initMainThreadBlock:function(){var pthreadPoolSize=8;for(var i=0;i>2]=PThread.mainThreadBlock;var headPtr=PThread.mainThreadBlock+156;GROWABLE_HEAP_I32()[headPtr>>2]=headPtr;var tlsMemory=13056;for(var i=0;i<128;++i)GROWABLE_HEAP_U32()[tlsMemory/4+i]=0;Atomics.store(GROWABLE_HEAP_U32(),PThread.mainThreadBlock+104>>2,tlsMemory);Atomics.store(GROWABLE_HEAP_U32(),PThread.mainThreadBlock+40>>2,PThread.mainThreadBlock);Atomics.store(GROWABLE_HEAP_U32(),PThread.mainThreadBlock+44>>2,42)},initWorker:function(){},pthreads:{},exitHandlers:null,setThreadStatus:function(){},runExitHandlers:function(){if(PThread.exitHandlers!==null){while(PThread.exitHandlers.length>0){PThread.exitHandlers.pop()()}PThread.exitHandlers=null}if(ENVIRONMENT_IS_PTHREAD&&threadInfoStruct)___pthread_tsd_run_dtors()},threadExit:function(exitCode){var tb=_pthread_self();if(tb){Atomics.store(GROWABLE_HEAP_U32(),tb+4>>2,exitCode);Atomics.store(GROWABLE_HEAP_U32(),tb+0>>2,1);Atomics.store(GROWABLE_HEAP_U32(),tb+60>>2,1);Atomics.store(GROWABLE_HEAP_U32(),tb+64>>2,0);PThread.runExitHandlers();_emscripten_futex_wake(tb+0,2147483647);__register_pthread_ptr(0,0,0);threadInfoStruct=0;if(ENVIRONMENT_IS_PTHREAD){postMessage({\"cmd\":\"exit\"})}}},threadCancel:function(){PThread.runExitHandlers();Atomics.store(GROWABLE_HEAP_U32(),threadInfoStruct+4>>2,-1);Atomics.store(GROWABLE_HEAP_U32(),threadInfoStruct+0>>2,1);_emscripten_futex_wake(threadInfoStruct+0,2147483647);threadInfoStruct=selfThreadId=0;__register_pthread_ptr(0,0,0);postMessage({\"cmd\":\"cancelDone\"})},terminateAllThreads:function(){for(var t in PThread.pthreads){var pthread=PThread.pthreads[t];if(pthread&&pthread.worker){PThread.returnWorkerToPool(pthread.worker)}}PThread.pthreads={};for(var i=0;i>2];GROWABLE_HEAP_I32()[pthread.threadInfoStruct+104>>2]=0;_free(tlsMemory);_free(pthread.threadInfoStruct)}pthread.threadInfoStruct=0;if(pthread.allocatedOwnStack&&pthread.stackBase)_free(pthread.stackBase);pthread.stackBase=0;if(pthread.worker)pthread.worker.pthread=null},returnWorkerToPool:function(worker){delete PThread.pthreads[worker.pthread.thread];PThread.unusedWorkers.push(worker);PThread.runningWorkers.splice(PThread.runningWorkers.indexOf(worker),1);PThread.freeThreadData(worker.pthread);worker.pthread=undefined},receiveObjectTransfer:function(data){},loadWasmModuleToWorker:function(worker,onFinishedLoading){worker.onmessage=function(e){var d=e[\"data\"];var cmd=d[\"cmd\"];if(worker.pthread)PThread.currentProxiedOperationCallerThread=worker.pthread.threadInfoStruct;if(d[\"targetThread\"]&&d[\"targetThread\"]!=_pthread_self()){var thread=PThread.pthreads[d.targetThread];if(thread){thread.worker.postMessage(e.data,d[\"transferList\"])}else{console.error('Internal error! Worker sent a message \"'+cmd+'\" to target pthread '+d[\"targetThread\"]+\", but that thread no longer exists!\")}PThread.currentProxiedOperationCallerThread=undefined;return}if(cmd===\"processQueuedMainThreadWork\"){_emscripten_main_thread_process_queued_calls()}else if(cmd===\"spawnThread\"){__spawn_thread(e.data)}else if(cmd===\"cleanupThread\"){__cleanup_thread(d[\"thread\"])}else if(cmd===\"killThread\"){__kill_thread(d[\"thread\"])}else if(cmd===\"cancelThread\"){__cancel_thread(d[\"thread\"])}else if(cmd===\"loaded\"){worker.loaded=true;if(onFinishedLoading)onFinishedLoading(worker);if(worker.runPthread){worker.runPthread();delete worker.runPthread}}else if(cmd===\"print\"){out(\"Thread \"+d[\"threadId\"]+\": \"+d[\"text\"])}else if(cmd===\"printErr\"){err(\"Thread \"+d[\"threadId\"]+\": \"+d[\"text\"])}else if(cmd===\"alert\"){alert(\"Thread \"+d[\"threadId\"]+\": \"+d[\"text\"])}else if(cmd===\"exit\"){var detached=worker.pthread&&Atomics.load(GROWABLE_HEAP_U32(),worker.pthread.thread+68>>2);if(detached){PThread.returnWorkerToPool(worker)}}else if(cmd===\"cancelDone\"){PThread.returnWorkerToPool(worker)}else if(cmd===\"objectTransfer\"){PThread.receiveObjectTransfer(e.data)}else if(e.data.target===\"setimmediate\"){worker.postMessage(e.data)}else{err(\"worker sent an unknown command \"+cmd)}PThread.currentProxiedOperationCallerThread=undefined};worker.onerror=function(e){err(\"pthread sent an error! \"+e.filename+\":\"+e.lineno+\": \"+e.message)};if(ENVIRONMENT_IS_NODE){worker.on(\"message\",function(data){worker.onmessage({data:data})});worker.on(\"error\",function(data){worker.onerror(data)});worker.on(\"exit\",function(data){console.log(\"worker exited - TODO: update the worker queue?\")})}worker.postMessage({\"cmd\":\"load\",\"urlOrBlob\":Module[\"mainScriptUrlOrBlob\"]||_scriptDir,\"wasmMemory\":wasmMemory,\"wasmModule\":wasmModule,\"DYNAMIC_BASE\":DYNAMIC_BASE,\"DYNAMICTOP_PTR\":DYNAMICTOP_PTR})},allocateUnusedWorker:function(){var pthreadMainJs=locateFile(\"tfjs-backend-wasm-threaded-simd.worker.js\");PThread.unusedWorkers.push(new Worker(pthreadMainJs))},getNewWorker:function(){if(PThread.unusedWorkers.length==0){PThread.allocateUnusedWorker();PThread.loadWasmModuleToWorker(PThread.unusedWorkers[0])}if(PThread.unusedWorkers.length>0)return PThread.unusedWorkers.pop();else return null},busySpinWait:function(msecs){var t=performance.now()+msecs;while(performance.now()>2]=value;return value}function _atexit(func,arg){if(ENVIRONMENT_IS_PTHREAD)return _emscripten_proxy_to_main_thread_js(1,1,func,arg);__ATEXIT__.unshift({func:func,arg:arg})}function __emscripten_notify_thread_queue(targetThreadId,mainThreadId){if(targetThreadId==mainThreadId){postMessage({\"cmd\":\"processQueuedMainThreadWork\"})}else if(ENVIRONMENT_IS_PTHREAD){postMessage({\"targetThread\":targetThreadId,\"cmd\":\"processThreadQueue\"})}else{var pthread=PThread.pthreads[targetThreadId];var worker=pthread&&pthread.worker;if(!worker){return}worker.postMessage({\"cmd\":\"processThreadQueue\"})}return 1}function _abort(){abort()}function _emscripten_conditional_set_current_thread_status(expectedStatus,newStatus){expectedStatus=expectedStatus|0;newStatus=newStatus|0}function _emscripten_futex_wait(addr,val,timeout){if(addr<=0||addr>GROWABLE_HEAP_I8().length||addr&3!=0)return-28;if(ENVIRONMENT_IS_WORKER){var ret=Atomics.wait(GROWABLE_HEAP_I32(),addr>>2,val,timeout);if(ret===\"timed-out\")return-73;if(ret===\"not-equal\")return-6;if(ret===\"ok\")return 0;throw\"Atomics.wait returned an unexpected value \"+ret}else{var loadedVal=Atomics.load(GROWABLE_HEAP_I32(),addr>>2);if(val!=loadedVal)return-6;var tNow=performance.now();var tEnd=tNow+timeout;Atomics.store(GROWABLE_HEAP_I32(),__main_thread_futex_wait_address>>2,addr);var ourWaitAddress=addr;while(addr==ourWaitAddress){tNow=performance.now();if(tNow>tEnd){return-73}_emscripten_main_thread_process_queued_calls();addr=Atomics.load(GROWABLE_HEAP_I32(),__main_thread_futex_wait_address>>2)}return 0}}function _emscripten_is_main_browser_thread(){return __pthread_is_main_browser_thread|0}function _emscripten_is_main_runtime_thread(){return __pthread_is_main_runtime_thread|0}function _emscripten_memcpy_big(dest,src,num){GROWABLE_HEAP_U8().copyWithin(dest,src,src+num)}function _emscripten_num_logical_cores(){return navigator[\"hardwareConcurrency\"]}function _emscripten_proxy_to_main_thread_js(index,sync){var numCallArgs=arguments.length-2;var stack=stackSave();var args=stackAlloc(numCallArgs*8);var b=args>>3;for(var i=0;i>3]);buf+=8}else{buf=buf+3&~3;args.push(GROWABLE_HEAP_I32()[buf>>2]);buf+=4}}return args}function _emscripten_receive_on_main_thread_js(index,numCallArgs,args){_emscripten_receive_on_main_thread_js_callArgs.length=numCallArgs;var b=args>>3;for(var i=0;i>>16);updateGlobalBufferAndViews(wasmMemory.buffer);return 1}catch(e){}}function _emscripten_resize_heap(requestedSize){requestedSize=requestedSize>>>0;var oldSize=_emscripten_get_heap_size();if(requestedSize<=oldSize){return false}var PAGE_MULTIPLE=65536;var maxHeapSize=2147483648;if(requestedSize>maxHeapSize){return false}var minHeapSize=16777216;for(var cutDown=1;cutDown<=4;cutDown*=2){var overGrownHeapSize=oldSize*(1+.2/cutDown);overGrownHeapSize=Math.min(overGrownHeapSize,requestedSize+100663296);var newSize=Math.min(maxHeapSize,alignUp(Math.max(minHeapSize,requestedSize,overGrownHeapSize),PAGE_MULTIPLE));var replacement=emscripten_realloc_buffer(newSize);if(replacement){return true}}return false}var JSEvents={keyEvent:0,mouseEvent:0,wheelEvent:0,uiEvent:0,focusEvent:0,deviceOrientationEvent:0,deviceMotionEvent:0,fullscreenChangeEvent:0,pointerlockChangeEvent:0,visibilityChangeEvent:0,touchEvent:0,previousFullscreenElement:null,previousScreenX:null,previousScreenY:null,removeEventListenersRegistered:false,removeAllEventListeners:function(){for(var i=JSEvents.eventHandlers.length-1;i>=0;--i){JSEvents._removeHandler(i)}JSEvents.eventHandlers=[];JSEvents.deferredCalls=[]},registerRemoveEventListeners:function(){if(!JSEvents.removeEventListenersRegistered){__ATEXIT__.push(JSEvents.removeAllEventListeners);JSEvents.removeEventListenersRegistered=true}},deferredCalls:[],deferCall:function(targetFunction,precedence,argsList){function arraysHaveEqualContent(arrA,arrB){if(arrA.length!=arrB.length)return false;for(var i in arrA){if(arrA[i]!=arrB[i])return false}return true}for(var i in JSEvents.deferredCalls){var call=JSEvents.deferredCalls[i];if(call.targetFunction==targetFunction&&arraysHaveEqualContent(call.argsList,argsList)){return}}JSEvents.deferredCalls.push({targetFunction:targetFunction,precedence:precedence,argsList:argsList});JSEvents.deferredCalls.sort(function(x,y){return x.precedence>2]=eventTypeId;GROWABLE_HEAP_I32()[varargs+4>>2]=eventData;GROWABLE_HEAP_I32()[varargs+8>>2]=userData;_emscripten_async_queue_on_thread_(targetThread,637534208,eventHandlerFunc,eventData,varargs);stackRestore(stackTop)},getTargetThreadForEventCallback:function(targetThread){switch(targetThread){case 1:return 0;case 2:return PThread.currentProxiedOperationCallerThread;default:return targetThread}},getNodeNameForTarget:function(target){if(!target)return\"\";if(target==window)return\"#window\";if(target==screen)return\"#screen\";return target&&target.nodeName?target.nodeName:\"\"},fullscreenEnabled:function(){return document.fullscreenEnabled||document.webkitFullscreenEnabled}};function stringToNewUTF8(jsString){var length=lengthBytesUTF8(jsString)+1;var cString=_malloc(length);stringToUTF8(jsString,cString,length);return cString}function _emscripten_set_offscreencanvas_size_on_target_thread_js(targetThread,targetCanvas,width,height){var stackTop=stackSave();var varargs=stackAlloc(12);var targetCanvasPtr=0;if(targetCanvas){targetCanvasPtr=stringToNewUTF8(targetCanvas)}GROWABLE_HEAP_I32()[varargs>>2]=targetCanvasPtr;GROWABLE_HEAP_I32()[varargs+4>>2]=width;GROWABLE_HEAP_I32()[varargs+8>>2]=height;_emscripten_async_queue_on_thread_(targetThread,657457152,0,targetCanvasPtr,varargs);stackRestore(stackTop)}function _emscripten_set_offscreencanvas_size_on_target_thread(targetThread,targetCanvas,width,height){targetCanvas=targetCanvas?UTF8ToString(targetCanvas):\"\";_emscripten_set_offscreencanvas_size_on_target_thread_js(targetThread,targetCanvas,width,height)}function __maybeCStringToJsString(cString){return cString>2?UTF8ToString(cString):cString}var specialHTMLTargets=[0,typeof document!==\"undefined\"?document:0,typeof window!==\"undefined\"?window:0];function __findEventTarget(target){target=__maybeCStringToJsString(target);var domElement=specialHTMLTargets[target]||(typeof document!==\"undefined\"?document.querySelector(target):undefined);return domElement}function __findCanvasEventTarget(target){return __findEventTarget(target)}function _emscripten_set_canvas_element_size_calling_thread(target,width,height){var canvas=__findCanvasEventTarget(target);if(!canvas)return-4;if(canvas.canvasSharedPtr){GROWABLE_HEAP_I32()[canvas.canvasSharedPtr>>2]=width;GROWABLE_HEAP_I32()[canvas.canvasSharedPtr+4>>2]=height}if(canvas.offscreenCanvas||!canvas.controlTransferredOffscreen){if(canvas.offscreenCanvas)canvas=canvas.offscreenCanvas;var autoResizeViewport=false;if(canvas.GLctxObject&&canvas.GLctxObject.GLctx){var prevViewport=canvas.GLctxObject.GLctx.getParameter(2978);autoResizeViewport=prevViewport[0]===0&&prevViewport[1]===0&&prevViewport[2]===canvas.width&&prevViewport[3]===canvas.height}canvas.width=width;canvas.height=height;if(autoResizeViewport){canvas.GLctxObject.GLctx.viewport(0,0,width,height)}}else if(canvas.canvasSharedPtr){var targetThread=GROWABLE_HEAP_I32()[canvas.canvasSharedPtr+8>>2];_emscripten_set_offscreencanvas_size_on_target_thread(targetThread,target,width,height);return 1}else{return-4}return 0}function _emscripten_set_canvas_element_size_main_thread(target,width,height){if(ENVIRONMENT_IS_PTHREAD)return _emscripten_proxy_to_main_thread_js(2,1,target,width,height);return _emscripten_set_canvas_element_size_calling_thread(target,width,height)}function _emscripten_set_canvas_element_size(target,width,height){var canvas=__findCanvasEventTarget(target);if(canvas){return _emscripten_set_canvas_element_size_calling_thread(target,width,height)}else{return _emscripten_set_canvas_element_size_main_thread(target,width,height)}}function _emscripten_set_current_thread_status(newStatus){newStatus=newStatus|0}function _emscripten_set_thread_name(threadId,name){threadId=threadId|0;name=name|0}function __webgl_enable_ANGLE_instanced_arrays(ctx){var ext=ctx.getExtension(\"ANGLE_instanced_arrays\");if(ext){ctx[\"vertexAttribDivisor\"]=function(index,divisor){ext[\"vertexAttribDivisorANGLE\"](index,divisor)};ctx[\"drawArraysInstanced\"]=function(mode,first,count,primcount){ext[\"drawArraysInstancedANGLE\"](mode,first,count,primcount)};ctx[\"drawElementsInstanced\"]=function(mode,count,type,indices,primcount){ext[\"drawElementsInstancedANGLE\"](mode,count,type,indices,primcount)};return 1}}function __webgl_enable_OES_vertex_array_object(ctx){var ext=ctx.getExtension(\"OES_vertex_array_object\");if(ext){ctx[\"createVertexArray\"]=function(){return ext[\"createVertexArrayOES\"]()};ctx[\"deleteVertexArray\"]=function(vao){ext[\"deleteVertexArrayOES\"](vao)};ctx[\"bindVertexArray\"]=function(vao){ext[\"bindVertexArrayOES\"](vao)};ctx[\"isVertexArray\"]=function(vao){return ext[\"isVertexArrayOES\"](vao)};return 1}}function __webgl_enable_WEBGL_draw_buffers(ctx){var ext=ctx.getExtension(\"WEBGL_draw_buffers\");if(ext){ctx[\"drawBuffers\"]=function(n,bufs){ext[\"drawBuffersWEBGL\"](n,bufs)};return 1}}var GL={counter:1,lastError:0,buffers:[],mappedBuffers:{},programs:[],framebuffers:[],renderbuffers:[],textures:[],uniforms:[],shaders:[],vaos:[],contexts:{},currentContext:null,offscreenCanvases:{},timerQueriesEXT:[],programInfos:{},stringCache:{},unpackAlignment:4,init:function(){var miniTempFloatBuffer=new Float32Array(GL.MINI_TEMP_BUFFER_SIZE);for(var i=0;i>2]:-1;source+=UTF8ToString(GROWABLE_HEAP_I32()[string+i*4>>2],len<0?undefined:len)}return source},createContext:function(canvas,webGLContextAttributes){var ctx=canvas.getContext(\"webgl\",webGLContextAttributes);if(!ctx)return 0;var handle=GL.registerContext(ctx,webGLContextAttributes);return handle},registerContext:function(ctx,webGLContextAttributes){var handle=_malloc(8);GROWABLE_HEAP_I32()[handle+4>>2]=_pthread_self();var context={handle:handle,attributes:webGLContextAttributes,version:webGLContextAttributes.majorVersion,GLctx:ctx};if(ctx.canvas)ctx.canvas.GLctxObject=context;GL.contexts[handle]=context;if(typeof webGLContextAttributes.enableExtensionsByDefault===\"undefined\"||webGLContextAttributes.enableExtensionsByDefault){GL.initExtensions(context)}return handle},makeContextCurrent:function(contextHandle){GL.currentContext=GL.contexts[contextHandle];Module.ctx=GLctx=GL.currentContext&&GL.currentContext.GLctx;return!(contextHandle&&!GLctx)},getContext:function(contextHandle){return GL.contexts[contextHandle]},deleteContext:function(contextHandle){if(GL.currentContext===GL.contexts[contextHandle])GL.currentContext=null;if(typeof JSEvents===\"object\")JSEvents.removeAllHandlersOnTarget(GL.contexts[contextHandle].GLctx.canvas);if(GL.contexts[contextHandle]&&GL.contexts[contextHandle].GLctx.canvas)GL.contexts[contextHandle].GLctx.canvas.GLctxObject=undefined;_free(GL.contexts[contextHandle].handle);GL.contexts[contextHandle]=null},initExtensions:function(context){if(!context)context=GL.currentContext;if(context.initExtensionsDone)return;context.initExtensionsDone=true;var GLctx=context.GLctx;__webgl_enable_ANGLE_instanced_arrays(GLctx);__webgl_enable_OES_vertex_array_object(GLctx);__webgl_enable_WEBGL_draw_buffers(GLctx);GLctx.disjointTimerQueryExt=GLctx.getExtension(\"EXT_disjoint_timer_query\");var automaticallyEnabledExtensions=[\"OES_texture_float\",\"OES_texture_half_float\",\"OES_standard_derivatives\",\"OES_vertex_array_object\",\"WEBGL_compressed_texture_s3tc\",\"WEBGL_depth_texture\",\"OES_element_index_uint\",\"EXT_texture_filter_anisotropic\",\"EXT_frag_depth\",\"WEBGL_draw_buffers\",\"ANGLE_instanced_arrays\",\"OES_texture_float_linear\",\"OES_texture_half_float_linear\",\"EXT_blend_minmax\",\"EXT_shader_texture_lod\",\"EXT_texture_norm16\",\"WEBGL_compressed_texture_pvrtc\",\"EXT_color_buffer_half_float\",\"WEBGL_color_buffer_float\",\"EXT_sRGB\",\"WEBGL_compressed_texture_etc1\",\"EXT_disjoint_timer_query\",\"WEBGL_compressed_texture_etc\",\"WEBGL_compressed_texture_astc\",\"EXT_color_buffer_float\",\"WEBGL_compressed_texture_s3tc_srgb\",\"EXT_disjoint_timer_query_webgl2\",\"WEBKIT_WEBGL_compressed_texture_pvrtc\"];var exts=GLctx.getSupportedExtensions()||[];exts.forEach(function(ext){if(automaticallyEnabledExtensions.indexOf(ext)!=-1){GLctx.getExtension(ext)}})},populateUniformTable:function(program){var p=GL.programs[program];var ptable=GL.programInfos[program]={uniforms:{},maxUniformLength:0,maxAttributeLength:-1,maxUniformBlockNameLength:-1};var utable=ptable.uniforms;var numUniforms=GLctx.getProgramParameter(p,35718);for(var i=0;i>2;contextAttributes[\"alpha\"]=!!GROWABLE_HEAP_I32()[a+(0>>2)];contextAttributes[\"depth\"]=!!GROWABLE_HEAP_I32()[a+(4>>2)];contextAttributes[\"stencil\"]=!!GROWABLE_HEAP_I32()[a+(8>>2)];contextAttributes[\"antialias\"]=!!GROWABLE_HEAP_I32()[a+(12>>2)];contextAttributes[\"premultipliedAlpha\"]=!!GROWABLE_HEAP_I32()[a+(16>>2)];contextAttributes[\"preserveDrawingBuffer\"]=!!GROWABLE_HEAP_I32()[a+(20>>2)];var powerPreference=GROWABLE_HEAP_I32()[a+(24>>2)];contextAttributes[\"powerPreference\"]=__emscripten_webgl_power_preferences[powerPreference];contextAttributes[\"failIfMajorPerformanceCaveat\"]=!!GROWABLE_HEAP_I32()[a+(28>>2)];contextAttributes.majorVersion=GROWABLE_HEAP_I32()[a+(32>>2)];contextAttributes.minorVersion=GROWABLE_HEAP_I32()[a+(36>>2)];contextAttributes.enableExtensionsByDefault=GROWABLE_HEAP_I32()[a+(40>>2)];contextAttributes.explicitSwapControl=GROWABLE_HEAP_I32()[a+(44>>2)];contextAttributes.proxyContextToMainThread=GROWABLE_HEAP_I32()[a+(48>>2)];contextAttributes.renderViaOffscreenBackBuffer=GROWABLE_HEAP_I32()[a+(52>>2)];var canvas=__findCanvasEventTarget(target);if(!canvas){return-4}if(contextAttributes.explicitSwapControl){return-1}var contextHandle=GL.createContext(canvas,contextAttributes);return contextHandle}function _emscripten_webgl_create_context(a0,a1){return _emscripten_webgl_do_create_context(a0,a1)}var PATH={splitPath:function(filename){var splitPathRe=/^(\\/?|)([\\s\\S]*?)((?:\\.{1,2}|[^\\/]+?|)(\\.[^.\\/]*|))(?:[\\/]*)$/;return splitPathRe.exec(filename).slice(1)},normalizeArray:function(parts,allowAboveRoot){var up=0;for(var i=parts.length-1;i>=0;i--){var last=parts[i];if(last===\".\"){parts.splice(i,1)}else if(last===\"..\"){parts.splice(i,1);up++}else if(up){parts.splice(i,1);up--}}if(allowAboveRoot){for(;up;up--){parts.unshift(\"..\")}}return parts},normalize:function(path){var isAbsolute=path.charAt(0)===\"/\",trailingSlash=path.substr(-1)===\"/\";path=PATH.normalizeArray(path.split(\"/\").filter(function(p){return!!p}),!isAbsolute).join(\"/\");if(!path&&!isAbsolute){path=\".\"}if(path&&trailingSlash){path+=\"/\"}return(isAbsolute?\"/\":\"\")+path},dirname:function(path){var result=PATH.splitPath(path),root=result[0],dir=result[1];if(!root&&!dir){return\".\"}if(dir){dir=dir.substr(0,dir.length-1)}return root+dir},basename:function(path){if(path===\"/\")return\"/\";var lastSlash=path.lastIndexOf(\"/\");if(lastSlash===-1)return path;return path.substr(lastSlash+1)},extname:function(path){return PATH.splitPath(path)[3]},join:function(){var paths=Array.prototype.slice.call(arguments,0);return PATH.normalize(paths.join(\"/\"))},join2:function(l,r){return PATH.normalize(l+\"/\"+r)}};var SYSCALLS={mappings:{},buffers:[null,[],[]],printChar:function(stream,curr){var buffer=SYSCALLS.buffers[stream];if(curr===0||curr===10){(stream===1?out:err)(UTF8ArrayToString(buffer,0));buffer.length=0}else{buffer.push(curr)}},varargs:undefined,get:function(){SYSCALLS.varargs+=4;var ret=GROWABLE_HEAP_I32()[SYSCALLS.varargs-4>>2];return ret},getStr:function(ptr){var ret=UTF8ToString(ptr);return ret},get64:function(low,high){return low}};function _fd_close(fd){if(ENVIRONMENT_IS_PTHREAD)return _emscripten_proxy_to_main_thread_js(3,1,fd);return 0}function _fd_seek(fd,offset_low,offset_high,whence,newOffset){if(ENVIRONMENT_IS_PTHREAD)return _emscripten_proxy_to_main_thread_js(4,1,fd,offset_low,offset_high,whence,newOffset)}function _fd_write(fd,iov,iovcnt,pnum){if(ENVIRONMENT_IS_PTHREAD)return _emscripten_proxy_to_main_thread_js(5,1,fd,iov,iovcnt,pnum);var num=0;for(var i=0;i>2];var len=GROWABLE_HEAP_I32()[iov+(i*8+4)>>2];for(var j=0;j>2]=num;return 0}function _pthread_cleanup_pop(execute){var routine=PThread.exitHandlers.pop();if(execute)routine()}function _pthread_cleanup_push(routine,arg){if(PThread.exitHandlers===null){PThread.exitHandlers=[]}PThread.exitHandlers.push(function(){dynCall_vi(routine,arg)})}function __spawn_thread(threadParams){if(ENVIRONMENT_IS_PTHREAD)throw\"Internal Error! _spawn_thread() can only ever be called from main application thread!\";var worker=PThread.getNewWorker();if(worker.pthread!==undefined)throw\"Internal error!\";if(!threadParams.pthread_ptr)throw\"Internal error, no pthread ptr!\";PThread.runningWorkers.push(worker);var tlsMemory=_malloc(128*4);for(var i=0;i<128;++i){GROWABLE_HEAP_I32()[tlsMemory+i*4>>2]=0}var stackHigh=threadParams.stackBase+threadParams.stackSize;var pthread=PThread.pthreads[threadParams.pthread_ptr]={worker:worker,stackBase:threadParams.stackBase,stackSize:threadParams.stackSize,allocatedOwnStack:threadParams.allocatedOwnStack,thread:threadParams.pthread_ptr,threadInfoStruct:threadParams.pthread_ptr};var tis=pthread.threadInfoStruct>>2;Atomics.store(GROWABLE_HEAP_U32(),tis+(0>>2),0);Atomics.store(GROWABLE_HEAP_U32(),tis+(4>>2),0);Atomics.store(GROWABLE_HEAP_U32(),tis+(8>>2),0);Atomics.store(GROWABLE_HEAP_U32(),tis+(68>>2),threadParams.detached);Atomics.store(GROWABLE_HEAP_U32(),tis+(104>>2),tlsMemory);Atomics.store(GROWABLE_HEAP_U32(),tis+(48>>2),0);Atomics.store(GROWABLE_HEAP_U32(),tis+(40>>2),pthread.threadInfoStruct);Atomics.store(GROWABLE_HEAP_U32(),tis+(44>>2),42);Atomics.store(GROWABLE_HEAP_U32(),tis+(108>>2),threadParams.stackSize);Atomics.store(GROWABLE_HEAP_U32(),tis+(84>>2),threadParams.stackSize);Atomics.store(GROWABLE_HEAP_U32(),tis+(80>>2),stackHigh);Atomics.store(GROWABLE_HEAP_U32(),tis+(108+8>>2),stackHigh);Atomics.store(GROWABLE_HEAP_U32(),tis+(108+12>>2),threadParams.detached);Atomics.store(GROWABLE_HEAP_U32(),tis+(108+20>>2),threadParams.schedPolicy);Atomics.store(GROWABLE_HEAP_U32(),tis+(108+24>>2),threadParams.schedPrio);var global_libc=_emscripten_get_global_libc();var global_locale=global_libc+40;Atomics.store(GROWABLE_HEAP_U32(),tis+(176>>2),global_locale);worker.pthread=pthread;var msg={\"cmd\":\"run\",\"start_routine\":threadParams.startRoutine,\"arg\":threadParams.arg,\"threadInfoStruct\":threadParams.pthread_ptr,\"selfThreadId\":threadParams.pthread_ptr,\"parentThreadId\":threadParams.parent_pthread_ptr,\"stackBase\":threadParams.stackBase,\"stackSize\":threadParams.stackSize};worker.runPthread=function(){msg.time=performance.now();worker.postMessage(msg,threadParams.transferList)};if(worker.loaded){worker.runPthread();delete worker.runPthread}}function _pthread_getschedparam(thread,policy,schedparam){if(!policy&&!schedparam)return ERRNO_CODES.EINVAL;if(!thread){err(\"pthread_getschedparam called with a null thread pointer!\");return ERRNO_CODES.ESRCH}var self=GROWABLE_HEAP_I32()[thread+12>>2];if(self!==thread){err(\"pthread_getschedparam attempted on thread \"+thread+\", which does not point to a valid thread, or does not exist anymore!\");return ERRNO_CODES.ESRCH}var schedPolicy=Atomics.load(GROWABLE_HEAP_U32(),thread+108+20>>2);var schedPrio=Atomics.load(GROWABLE_HEAP_U32(),thread+108+24>>2);if(policy)GROWABLE_HEAP_I32()[policy>>2]=schedPolicy;if(schedparam)GROWABLE_HEAP_I32()[schedparam>>2]=schedPrio;return 0}function _pthread_self(){return __pthread_ptr|0}Module[\"_pthread_self\"]=_pthread_self;function _pthread_create(pthread_ptr,attr,start_routine,arg){if(typeof SharedArrayBuffer===\"undefined\"){err(\"Current environment does not support SharedArrayBuffer, pthreads are not available!\");return 6}if(!pthread_ptr){err(\"pthread_create called with a null thread pointer!\");return 28}var transferList=[];var error=0;if(ENVIRONMENT_IS_PTHREAD&&(transferList.length===0||error)){return _emscripten_sync_run_in_main_thread_4(687865856,pthread_ptr,attr,start_routine,arg)}if(error)return error;var stackSize=0;var stackBase=0;var detached=0;var schedPolicy=0;var schedPrio=0;if(attr){stackSize=GROWABLE_HEAP_I32()[attr>>2];stackSize+=81920;stackBase=GROWABLE_HEAP_I32()[attr+8>>2];detached=GROWABLE_HEAP_I32()[attr+12>>2]!==0;var inheritSched=GROWABLE_HEAP_I32()[attr+16>>2]===0;if(inheritSched){var prevSchedPolicy=GROWABLE_HEAP_I32()[attr+20>>2];var prevSchedPrio=GROWABLE_HEAP_I32()[attr+24>>2];var parentThreadPtr=PThread.currentProxiedOperationCallerThread?PThread.currentProxiedOperationCallerThread:_pthread_self();_pthread_getschedparam(parentThreadPtr,attr+20,attr+24);schedPolicy=GROWABLE_HEAP_I32()[attr+20>>2];schedPrio=GROWABLE_HEAP_I32()[attr+24>>2];GROWABLE_HEAP_I32()[attr+20>>2]=prevSchedPolicy;GROWABLE_HEAP_I32()[attr+24>>2]=prevSchedPrio}else{schedPolicy=GROWABLE_HEAP_I32()[attr+20>>2];schedPrio=GROWABLE_HEAP_I32()[attr+24>>2]}}else{stackSize=2097152}var allocatedOwnStack=stackBase==0;if(allocatedOwnStack){stackBase=_memalign(16,stackSize)}else{stackBase-=stackSize;assert(stackBase>0)}var threadInfoStruct=_malloc(232);for(var i=0;i<232>>2;++i)GROWABLE_HEAP_U32()[(threadInfoStruct>>2)+i]=0;GROWABLE_HEAP_I32()[pthread_ptr>>2]=threadInfoStruct;GROWABLE_HEAP_I32()[threadInfoStruct+12>>2]=threadInfoStruct;var headPtr=threadInfoStruct+156;GROWABLE_HEAP_I32()[headPtr>>2]=headPtr;var threadParams={stackBase:stackBase,stackSize:stackSize,allocatedOwnStack:allocatedOwnStack,schedPolicy:schedPolicy,schedPrio:schedPrio,detached:detached,startRoutine:start_routine,pthread_ptr:threadInfoStruct,parent_pthread_ptr:_pthread_self(),arg:arg,transferList:transferList};if(ENVIRONMENT_IS_PTHREAD){threadParams.cmd=\"spawnThread\";postMessage(threadParams,transferList)}else{__spawn_thread(threadParams)}return 0}function _roundf(d){d=+d;return d>=+0?+Math_floor(d+ +.5):+Math_ceil(d-+.5)}function _sysconf(name){if(ENVIRONMENT_IS_PTHREAD)return _emscripten_proxy_to_main_thread_js(6,1,name);switch(name){case 30:return 16384;case 85:var maxHeapSize=2147483648;return maxHeapSize/16384;case 132:case 133:case 12:case 137:case 138:case 15:case 235:case 16:case 17:case 18:case 19:case 20:case 149:case 13:case 10:case 236:case 153:case 9:case 21:case 22:case 159:case 154:case 14:case 77:case 78:case 139:case 80:case 81:case 82:case 68:case 67:case 164:case 11:case 29:case 47:case 48:case 95:case 52:case 51:case 46:case 79:return 200809;case 27:case 246:case 127:case 128:case 23:case 24:case 160:case 161:case 181:case 182:case 242:case 183:case 184:case 243:case 244:case 245:case 165:case 178:case 179:case 49:case 50:case 168:case 169:case 175:case 170:case 171:case 172:case 97:case 76:case 32:case 173:case 35:return-1;case 176:case 177:case 7:case 155:case 8:case 157:case 125:case 126:case 92:case 93:case 129:case 130:case 131:case 94:case 91:return 1;case 74:case 60:case 69:case 70:case 4:return 1024;case 31:case 42:case 72:return 32;case 87:case 26:case 33:return 2147483647;case 34:case 1:return 47839;case 38:case 36:return 99;case 43:case 37:return 2048;case 0:return 2097152;case 3:return 65536;case 28:return 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WasmBackendModuleThreadedSimd; });\n else if (typeof exports === 'object')\n exports[\"WasmBackendModuleThreadedSimd\"] = WasmBackendModuleThreadedSimd;\n ", "\nvar WasmBackendModule = (function() {\n var _scriptDir = typeof document !== 'undefined' && document.currentScript ? document.currentScript.src : undefined;\n if (typeof __filename !== 'undefined') _scriptDir = _scriptDir || __filename;\n return (\nfunction(WasmBackendModule) {\n WasmBackendModule = WasmBackendModule || {};\n\nvar Module=typeof WasmBackendModule!==\"undefined\"?WasmBackendModule:{};var moduleOverrides={};var key;for(key in Module){if(Module.hasOwnProperty(key)){moduleOverrides[key]=Module[key]}}var arguments_=[];var thisProgram=\"./this.program\";var quit_=function(status,toThrow){throw toThrow};var ENVIRONMENT_IS_WEB=false;var ENVIRONMENT_IS_WORKER=false;var ENVIRONMENT_IS_NODE=false;var ENVIRONMENT_IS_SHELL=false;ENVIRONMENT_IS_WEB=typeof window===\"object\";ENVIRONMENT_IS_WORKER=typeof importScripts===\"function\";ENVIRONMENT_IS_NODE=typeof process===\"object\"&&typeof process.versions===\"object\"&&typeof process.versions.node===\"string\";ENVIRONMENT_IS_SHELL=!ENVIRONMENT_IS_WEB&&!ENVIRONMENT_IS_NODE&&!ENVIRONMENT_IS_WORKER;var scriptDirectory=\"\";function locateFile(path){if(Module[\"locateFile\"]){return Module[\"locateFile\"](path,scriptDirectory)}return scriptDirectory+path}var read_,readAsync,readBinary,setWindowTitle;var nodeFS;var nodePath;if(ENVIRONMENT_IS_NODE){if(ENVIRONMENT_IS_WORKER){scriptDirectory=require(\"path\").dirname(scriptDirectory)+\"/\"}else{scriptDirectory=__dirname+\"/\"}read_=function shell_read(filename,binary){if(!nodeFS)nodeFS=require(\"fs\");if(!nodePath)nodePath=require(\"path\");filename=nodePath[\"normalize\"](filename);return nodeFS[\"readFileSync\"](filename,binary?null:\"utf8\")};readBinary=function readBinary(filename){var ret=read_(filename,true);if(!ret.buffer){ret=new Uint8Array(ret)}assert(ret.buffer);return ret};if(process[\"argv\"].length>1){thisProgram=process[\"argv\"][1].replace(/\\\\/g,\"/\")}arguments_=process[\"argv\"].slice(2);process[\"on\"](\"uncaughtException\",function(ex){if(!(ex instanceof ExitStatus)){throw ex}});process[\"on\"](\"unhandledRejection\",abort);quit_=function(status){process[\"exit\"](status)};Module[\"inspect\"]=function(){return\"[Emscripten Module object]\"}}else if(ENVIRONMENT_IS_SHELL){if(typeof read!=\"undefined\"){read_=function shell_read(f){return read(f)}}readBinary=function readBinary(f){var data;if(typeof readbuffer===\"function\"){return new Uint8Array(readbuffer(f))}data=read(f,\"binary\");assert(typeof data===\"object\");return data};if(typeof scriptArgs!=\"undefined\"){arguments_=scriptArgs}else if(typeof arguments!=\"undefined\"){arguments_=arguments}if(typeof quit===\"function\"){quit_=function(status){quit(status)}}if(typeof print!==\"undefined\"){if(typeof console===\"undefined\")console={};console.log=print;console.warn=console.error=typeof printErr!==\"undefined\"?printErr:print}}else if(ENVIRONMENT_IS_WEB||ENVIRONMENT_IS_WORKER){if(ENVIRONMENT_IS_WORKER){scriptDirectory=self.location.href}else if(document.currentScript){scriptDirectory=document.currentScript.src}if(_scriptDir){scriptDirectory=_scriptDir}if(scriptDirectory.indexOf(\"blob:\")!==0){scriptDirectory=scriptDirectory.substr(0,scriptDirectory.lastIndexOf(\"/\")+1)}else{scriptDirectory=\"\"}{read_=function shell_read(url){var xhr=new XMLHttpRequest;xhr.open(\"GET\",url,false);xhr.send(null);return xhr.responseText};if(ENVIRONMENT_IS_WORKER){readBinary=function readBinary(url){var xhr=new XMLHttpRequest;xhr.open(\"GET\",url,false);xhr.responseType=\"arraybuffer\";xhr.send(null);return new Uint8Array(xhr.response)}}readAsync=function readAsync(url,onload,onerror){var xhr=new XMLHttpRequest;xhr.open(\"GET\",url,true);xhr.responseType=\"arraybuffer\";xhr.onload=function xhr_onload(){if(xhr.status==200||xhr.status==0&&xhr.response){onload(xhr.response);return}onerror()};xhr.onerror=onerror;xhr.send(null)}}setWindowTitle=function(title){document.title=title}}else{}var out=Module[\"print\"]||console.log.bind(console);var err=Module[\"printErr\"]||console.warn.bind(console);for(key in moduleOverrides){if(moduleOverrides.hasOwnProperty(key)){Module[key]=moduleOverrides[key]}}moduleOverrides=null;if(Module[\"arguments\"])arguments_=Module[\"arguments\"];if(Module[\"thisProgram\"])thisProgram=Module[\"thisProgram\"];if(Module[\"quit\"])quit_=Module[\"quit\"];var wasmBinary;if(Module[\"wasmBinary\"])wasmBinary=Module[\"wasmBinary\"];var noExitRuntime;if(Module[\"noExitRuntime\"])noExitRuntime=Module[\"noExitRuntime\"];if(typeof WebAssembly!==\"object\"){err(\"no native wasm support detected\")}var wasmMemory;var wasmTable=new WebAssembly.Table({\"initial\":153,\"maximum\":153+0,\"element\":\"anyfunc\"});var ABORT=false;var EXITSTATUS=0;function assert(condition,text){if(!condition){abort(\"Assertion failed: \"+text)}}function getCFunc(ident){var func=Module[\"_\"+ident];assert(func,\"Cannot call unknown function \"+ident+\", make sure it is exported\");return func}function ccall(ident,returnType,argTypes,args,opts){var toC={\"string\":function(str){var ret=0;if(str!==null&&str!==undefined&&str!==0){var len=(str.length<<2)+1;ret=stackAlloc(len);stringToUTF8(str,ret,len)}return ret},\"array\":function(arr){var ret=stackAlloc(arr.length);writeArrayToMemory(arr,ret);return ret}};function convertReturnValue(ret){if(returnType===\"string\")return UTF8ToString(ret);if(returnType===\"boolean\")return Boolean(ret);return ret}var func=getCFunc(ident);var cArgs=[];var stack=0;if(args){for(var i=0;i=endIdx))++endPtr;if(endPtr-idx>16&&heap.subarray&&UTF8Decoder){return UTF8Decoder.decode(heap.subarray(idx,endPtr))}else{var str=\"\";while(idx>10,56320|ch&1023)}}}return str}function UTF8ToString(ptr,maxBytesToRead){return ptr?UTF8ArrayToString(HEAPU8,ptr,maxBytesToRead):\"\"}function stringToUTF8Array(str,heap,outIdx,maxBytesToWrite){if(!(maxBytesToWrite>0))return 0;var startIdx=outIdx;var endIdx=outIdx+maxBytesToWrite-1;for(var i=0;i=55296&&u<=57343){var u1=str.charCodeAt(++i);u=65536+((u&1023)<<10)|u1&1023}if(u<=127){if(outIdx>=endIdx)break;heap[outIdx++]=u}else if(u<=2047){if(outIdx+1>=endIdx)break;heap[outIdx++]=192|u>>6;heap[outIdx++]=128|u&63}else if(u<=65535){if(outIdx+2>=endIdx)break;heap[outIdx++]=224|u>>12;heap[outIdx++]=128|u>>6&63;heap[outIdx++]=128|u&63}else{if(outIdx+3>=endIdx)break;heap[outIdx++]=240|u>>18;heap[outIdx++]=128|u>>12&63;heap[outIdx++]=128|u>>6&63;heap[outIdx++]=128|u&63}}heap[outIdx]=0;return outIdx-startIdx}function stringToUTF8(str,outPtr,maxBytesToWrite){return stringToUTF8Array(str,HEAPU8,outPtr,maxBytesToWrite)}function writeArrayToMemory(array,buffer){HEAP8.set(array,buffer)}var buffer,HEAP8,HEAPU8,HEAP16,HEAPU16,HEAP32,HEAPU32,HEAPF32,HEAPF64;function updateGlobalBufferAndViews(buf){buffer=buf;Module[\"HEAP8\"]=HEAP8=new Int8Array(buf);Module[\"HEAP16\"]=HEAP16=new Int16Array(buf);Module[\"HEAP32\"]=HEAP32=new Int32Array(buf);Module[\"HEAPU8\"]=HEAPU8=new Uint8Array(buf);Module[\"HEAPU16\"]=HEAPU16=new Uint16Array(buf);Module[\"HEAPU32\"]=HEAPU32=new Uint32Array(buf);Module[\"HEAPF32\"]=HEAPF32=new Float32Array(buf);Module[\"HEAPF64\"]=HEAPF64=new Float64Array(buf)}var INITIAL_INITIAL_MEMORY=Module[\"INITIAL_MEMORY\"]||16777216;function callRuntimeCallbacks(callbacks){while(callbacks.length>0){var callback=callbacks.shift();if(typeof callback==\"function\"){callback(Module);continue}var func=callback.func;if(typeof func===\"number\"){if(callback.arg===undefined){Module[\"dynCall_v\"](func)}else{Module[\"dynCall_vi\"](func,callback.arg)}}else{func(callback.arg===undefined?null:callback.arg)}}}var __ATPRERUN__=[];var __ATINIT__=[];var __ATMAIN__=[];var __ATPOSTRUN__=[];var runtimeInitialized=false;var runtimeExited=false;function preRun(){if(Module[\"preRun\"]){if(typeof Module[\"preRun\"]==\"function\")Module[\"preRun\"]=[Module[\"preRun\"]];while(Module[\"preRun\"].length){addOnPreRun(Module[\"preRun\"].shift())}}callRuntimeCallbacks(__ATPRERUN__)}function initRuntime(){runtimeInitialized=true;callRuntimeCallbacks(__ATINIT__)}function preMain(){callRuntimeCallbacks(__ATMAIN__)}function exitRuntime(){runtimeExited=true}function postRun(){if(Module[\"postRun\"]){if(typeof Module[\"postRun\"]==\"function\")Module[\"postRun\"]=[Module[\"postRun\"]];while(Module[\"postRun\"].length){addOnPostRun(Module[\"postRun\"].shift())}}callRuntimeCallbacks(__ATPOSTRUN__)}function addOnPreRun(cb){__ATPRERUN__.unshift(cb)}function addOnPostRun(cb){__ATPOSTRUN__.unshift(cb)}var Math_ceil=Math.ceil;var Math_floor=Math.floor;var runDependencies=0;var runDependencyWatcher=null;var dependenciesFulfilled=null;function addRunDependency(id){runDependencies++;if(Module[\"monitorRunDependencies\"]){Module[\"monitorRunDependencies\"](runDependencies)}}function removeRunDependency(id){runDependencies--;if(Module[\"monitorRunDependencies\"]){Module[\"monitorRunDependencies\"](runDependencies)}if(runDependencies==0){if(runDependencyWatcher!==null){clearInterval(runDependencyWatcher);runDependencyWatcher=null}if(dependenciesFulfilled){var callback=dependenciesFulfilled;dependenciesFulfilled=null;callback()}}}Module[\"preloadedImages\"]={};Module[\"preloadedAudios\"]={};function abort(what){if(Module[\"onAbort\"]){Module[\"onAbort\"](what)}what+=\"\";out(what);err(what);ABORT=true;EXITSTATUS=1;what=\"abort(\"+what+\"). Build with -s ASSERTIONS=1 for more info.\";throw new WebAssembly.RuntimeError(what)}function hasPrefix(str,prefix){return String.prototype.startsWith?str.startsWith(prefix):str.indexOf(prefix)===0}var dataURIPrefix=\"data:application/octet-stream;base64,\";function isDataURI(filename){return hasPrefix(filename,dataURIPrefix)}var fileURIPrefix=\"file://\";function isFileURI(filename){return hasPrefix(filename,fileURIPrefix)}var wasmBinaryFile=\"tfjs-backend-wasm.wasm\";if(!isDataURI(wasmBinaryFile)){wasmBinaryFile=locateFile(wasmBinaryFile)}function getBinary(){try{if(wasmBinary){return new Uint8Array(wasmBinary)}if(readBinary){return readBinary(wasmBinaryFile)}else{throw\"both async and sync fetching of the wasm failed\"}}catch(err){abort(err)}}function getBinaryPromise(){if(!wasmBinary&&(ENVIRONMENT_IS_WEB||ENVIRONMENT_IS_WORKER)&&typeof fetch===\"function\"&&!isFileURI(wasmBinaryFile)){return fetch(wasmBinaryFile,{credentials:\"same-origin\"}).then(function(response){if(!response[\"ok\"]){throw\"failed to load wasm binary file at '\"+wasmBinaryFile+\"'\"}return response[\"arrayBuffer\"]()}).catch(function(){return getBinary()})}return new Promise(function(resolve,reject){resolve(getBinary())})}function createWasm(){var info={\"env\":asmLibraryArg,\"wasi_snapshot_preview1\":asmLibraryArg};function receiveInstance(instance,module){var exports=instance.exports;Module[\"asm\"]=exports;wasmMemory=exports[\"memory\"];updateGlobalBufferAndViews(wasmMemory.buffer);removeRunDependency(\"wasm-instantiate\")}addRunDependency(\"wasm-instantiate\");function receiveInstantiatedSource(output){receiveInstance(output[\"instance\"])}function instantiateArrayBuffer(receiver){return getBinaryPromise().then(function(binary){return WebAssembly.instantiate(binary,info)}).then(receiver,function(reason){err(\"failed to asynchronously prepare wasm: \"+reason);abort(reason)})}function instantiateAsync(){if(!wasmBinary&&typeof WebAssembly.instantiateStreaming===\"function\"&&!isDataURI(wasmBinaryFile)&&!isFileURI(wasmBinaryFile)&&typeof fetch===\"function\"){fetch(wasmBinaryFile,{credentials:\"same-origin\"}).then(function(response){var result=WebAssembly.instantiateStreaming(response,info);return result.then(receiveInstantiatedSource,function(reason){err(\"wasm streaming compile failed: \"+reason);err(\"falling back to ArrayBuffer instantiation\");instantiateArrayBuffer(receiveInstantiatedSource)})})}else{return instantiateArrayBuffer(receiveInstantiatedSource)}}if(Module[\"instantiateWasm\"]){try{var exports=Module[\"instantiateWasm\"](info,receiveInstance);return exports}catch(e){err(\"Module.instantiateWasm callback failed with error: \"+e);return false}}instantiateAsync();return{}}__ATINIT__.push();function _emscripten_notify_memory_growth(memoryIndex){updateGlobalBufferAndViews(wasmMemory.buffer)}var PATH={splitPath:function(filename){var splitPathRe=/^(\\/?|)([\\s\\S]*?)((?:\\.{1,2}|[^\\/]+?|)(\\.[^.\\/]*|))(?:[\\/]*)$/;return splitPathRe.exec(filename).slice(1)},normalizeArray:function(parts,allowAboveRoot){var up=0;for(var i=parts.length-1;i>=0;i--){var last=parts[i];if(last===\".\"){parts.splice(i,1)}else if(last===\"..\"){parts.splice(i,1);up++}else if(up){parts.splice(i,1);up--}}if(allowAboveRoot){for(;up;up--){parts.unshift(\"..\")}}return parts},normalize:function(path){var isAbsolute=path.charAt(0)===\"/\",trailingSlash=path.substr(-1)===\"/\";path=PATH.normalizeArray(path.split(\"/\").filter(function(p){return!!p}),!isAbsolute).join(\"/\");if(!path&&!isAbsolute){path=\".\"}if(path&&trailingSlash){path+=\"/\"}return(isAbsolute?\"/\":\"\")+path},dirname:function(path){var result=PATH.splitPath(path),root=result[0],dir=result[1];if(!root&&!dir){return\".\"}if(dir){dir=dir.substr(0,dir.length-1)}return root+dir},basename:function(path){if(path===\"/\")return\"/\";var lastSlash=path.lastIndexOf(\"/\");if(lastSlash===-1)return path;return path.substr(lastSlash+1)},extname:function(path){return PATH.splitPath(path)[3]},join:function(){var paths=Array.prototype.slice.call(arguments,0);return PATH.normalize(paths.join(\"/\"))},join2:function(l,r){return PATH.normalize(l+\"/\"+r)}};var SYSCALLS={mappings:{},buffers:[null,[],[]],printChar:function(stream,curr){var buffer=SYSCALLS.buffers[stream];if(curr===0||curr===10){(stream===1?out:err)(UTF8ArrayToString(buffer,0));buffer.length=0}else{buffer.push(curr)}},varargs:undefined,get:function(){SYSCALLS.varargs+=4;var ret=HEAP32[SYSCALLS.varargs-4>>2];return ret},getStr:function(ptr){var ret=UTF8ToString(ptr);return ret},get64:function(low,high){return low}};function _fd_close(fd){return 0}function _fd_seek(fd,offset_low,offset_high,whence,newOffset){}function _fd_write(fd,iov,iovcnt,pnum){var num=0;for(var i=0;i>2];var len=HEAP32[iov+(i*8+4)>>2];for(var j=0;j>2]=num;return 0}function _exit(status){exit(status)}function _proc_exit(code){_exit(code)}function _roundf(d){d=+d;return d>=+0?+Math_floor(d+ +.5):+Math_ceil(d-+.5)}var asmLibraryArg={\"emscripten_notify_memory_growth\":_emscripten_notify_memory_growth,\"fd_close\":_fd_close,\"fd_seek\":_fd_seek,\"fd_write\":_fd_write,\"proc_exit\":_proc_exit,\"roundf\":_roundf};var asm=createWasm();Module[\"asm\"]=asm;var _init=Module[\"_init\"]=function(){return(_init=Module[\"_init\"]=Module[\"asm\"][\"init\"]).apply(null,arguments)};var _register_tensor=Module[\"_register_tensor\"]=function(){return(_register_tensor=Module[\"_register_tensor\"]=Module[\"asm\"][\"register_tensor\"]).apply(null,arguments)};var _dispose_data=Module[\"_dispose_data\"]=function(){return(_dispose_data=Module[\"_dispose_data\"]=Module[\"asm\"][\"dispose_data\"]).apply(null,arguments)};var _dispose=Module[\"_dispose\"]=function(){return(_dispose=Module[\"_dispose\"]=Module[\"asm\"][\"dispose\"]).apply(null,arguments)};var _Abs=Module[\"_Abs\"]=function(){return(_Abs=Module[\"_Abs\"]=Module[\"asm\"][\"Abs\"]).apply(null,arguments)};var _Add=Module[\"_Add\"]=function(){return(_Add=Module[\"_Add\"]=Module[\"asm\"][\"Add\"]).apply(null,arguments)};var _AddN=Module[\"_AddN\"]=function(){return(_AddN=Module[\"_AddN\"]=Module[\"asm\"][\"AddN\"]).apply(null,arguments)};var _ArgMax=Module[\"_ArgMax\"]=function(){return(_ArgMax=Module[\"_ArgMax\"]=Module[\"asm\"][\"ArgMax\"]).apply(null,arguments)};var _AvgPool=Module[\"_AvgPool\"]=function(){return(_AvgPool=Module[\"_AvgPool\"]=Module[\"asm\"][\"AvgPool\"]).apply(null,arguments)};var _BatchMatMul=Module[\"_BatchMatMul\"]=function(){return(_BatchMatMul=Module[\"_BatchMatMul\"]=Module[\"asm\"][\"BatchMatMul\"]).apply(null,arguments)};var _Ceil=Module[\"_Ceil\"]=function(){return(_Ceil=Module[\"_Ceil\"]=Module[\"asm\"][\"Ceil\"]).apply(null,arguments)};var _ClipByValue=Module[\"_ClipByValue\"]=function(){return(_ClipByValue=Module[\"_ClipByValue\"]=Module[\"asm\"][\"ClipByValue\"]).apply(null,arguments)};var _Conv2D=Module[\"_Conv2D\"]=function(){return(_Conv2D=Module[\"_Conv2D\"]=Module[\"asm\"][\"Conv2D\"]).apply(null,arguments)};var _Conv2DBackpropInput=Module[\"_Conv2DBackpropInput\"]=function(){return(_Conv2DBackpropInput=Module[\"_Conv2DBackpropInput\"]=Module[\"asm\"][\"Conv2DBackpropInput\"]).apply(null,arguments)};var _Cos=Module[\"_Cos\"]=function(){return(_Cos=Module[\"_Cos\"]=Module[\"asm\"][\"Cos\"]).apply(null,arguments)};var _CropAndResize=Module[\"_CropAndResize\"]=function(){return(_CropAndResize=Module[\"_CropAndResize\"]=Module[\"asm\"][\"CropAndResize\"]).apply(null,arguments)};var _Cumsum=Module[\"_Cumsum\"]=function(){return(_Cumsum=Module[\"_Cumsum\"]=Module[\"asm\"][\"Cumsum\"]).apply(null,arguments)};var _DepthToSpace=Module[\"_DepthToSpace\"]=function(){return(_DepthToSpace=Module[\"_DepthToSpace\"]=Module[\"asm\"][\"DepthToSpace\"]).apply(null,arguments)};var _DepthwiseConv2dNative=Module[\"_DepthwiseConv2dNative\"]=function(){return(_DepthwiseConv2dNative=Module[\"_DepthwiseConv2dNative\"]=Module[\"asm\"][\"DepthwiseConv2dNative\"]).apply(null,arguments)};var _Equal=Module[\"_Equal\"]=function(){return(_Equal=Module[\"_Equal\"]=Module[\"asm\"][\"Equal\"]).apply(null,arguments)};var _Exp=Module[\"_Exp\"]=function(){return(_Exp=Module[\"_Exp\"]=Module[\"asm\"][\"Exp\"]).apply(null,arguments)};var _FlipLeftRight=Module[\"_FlipLeftRight\"]=function(){return(_FlipLeftRight=Module[\"_FlipLeftRight\"]=Module[\"asm\"][\"FlipLeftRight\"]).apply(null,arguments)};var _Floor=Module[\"_Floor\"]=function(){return(_Floor=Module[\"_Floor\"]=Module[\"asm\"][\"Floor\"]).apply(null,arguments)};var _FloorDiv=Module[\"_FloorDiv\"]=function(){return(_FloorDiv=Module[\"_FloorDiv\"]=Module[\"asm\"][\"FloorDiv\"]).apply(null,arguments)};var _FusedBatchNorm=Module[\"_FusedBatchNorm\"]=function(){return(_FusedBatchNorm=Module[\"_FusedBatchNorm\"]=Module[\"asm\"][\"FusedBatchNorm\"]).apply(null,arguments)};var _FusedConv2D=Module[\"_FusedConv2D\"]=function(){return(_FusedConv2D=Module[\"_FusedConv2D\"]=Module[\"asm\"][\"FusedConv2D\"]).apply(null,arguments)};var _FusedDepthwiseConv2D=Module[\"_FusedDepthwiseConv2D\"]=function(){return(_FusedDepthwiseConv2D=Module[\"_FusedDepthwiseConv2D\"]=Module[\"asm\"][\"FusedDepthwiseConv2D\"]).apply(null,arguments)};var _Gather=Module[\"_Gather\"]=function(){return(_Gather=Module[\"_Gather\"]=Module[\"asm\"][\"Gather\"]).apply(null,arguments)};var _GatherNd=Module[\"_GatherNd\"]=function(){return(_GatherNd=Module[\"_GatherNd\"]=Module[\"asm\"][\"GatherNd\"]).apply(null,arguments)};var _Greater=Module[\"_Greater\"]=function(){return(_Greater=Module[\"_Greater\"]=Module[\"asm\"][\"Greater\"]).apply(null,arguments)};var _GreaterEqual=Module[\"_GreaterEqual\"]=function(){return(_GreaterEqual=Module[\"_GreaterEqual\"]=Module[\"asm\"][\"GreaterEqual\"]).apply(null,arguments)};var _LeakyRelu=Module[\"_LeakyRelu\"]=function(){return(_LeakyRelu=Module[\"_LeakyRelu\"]=Module[\"asm\"][\"LeakyRelu\"]).apply(null,arguments)};var _Less=Module[\"_Less\"]=function(){return(_Less=Module[\"_Less\"]=Module[\"asm\"][\"Less\"]).apply(null,arguments)};var _LessEqual=Module[\"_LessEqual\"]=function(){return(_LessEqual=Module[\"_LessEqual\"]=Module[\"asm\"][\"LessEqual\"]).apply(null,arguments)};var _Log=Module[\"_Log\"]=function(){return(_Log=Module[\"_Log\"]=Module[\"asm\"][\"Log\"]).apply(null,arguments)};var _LogicalAnd=Module[\"_LogicalAnd\"]=function(){return(_LogicalAnd=Module[\"_LogicalAnd\"]=Module[\"asm\"][\"LogicalAnd\"]).apply(null,arguments)};var 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shouldRunNow=true;if(Module[\"noInitialRun\"])shouldRunNow=false;noExitRuntime=true;run();\n\n\n return WasmBackendModule\n}\n);\n})();\nif (typeof exports === 'object' && typeof module === 'object')\n module.exports = WasmBackendModule;\n else if (typeof define === 'function' && define['amd'])\n define([], function() { return WasmBackendModule; });\n else if (typeof exports === 'object')\n exports[\"WasmBackendModule\"] = WasmBackendModule;\n ", "// A port of an algorithm by Johannes Baag\u00F8e , 2010\n// http://baagoe.com/en/RandomMusings/javascript/\n// https://github.com/nquinlan/better-random-numbers-for-javascript-mirror\n// Original work is under MIT license -\n\n// Copyright (C) 2010 by Johannes Baag\u00F8e \n//\n// Permission is hereby granted, free of charge, to any person obtaining a copy\n// of this software and associated documentation files (the \"Software\"), to deal\n// in the Software without restriction, including without limitation the rights\n// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell\n// copies of the Software, and to permit persons to whom the Software is\n// furnished to do so, subject to the following conditions:\n//\n// The above copyright notice and this permission notice shall be included in\n// all copies or substantial portions of the Software.\n//\n// THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\n// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\n// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN\n// THE SOFTWARE.\n\n\n\n(function(global, module, define) {\n\nfunction Alea(seed) {\n var me = this, mash = Mash();\n\n me.next = function() {\n var t = 2091639 * me.s0 + me.c * 2.3283064365386963e-10; // 2^-32\n me.s0 = me.s1;\n me.s1 = me.s2;\n return me.s2 = t - (me.c = t | 0);\n };\n\n // Apply the seeding algorithm from Baagoe.\n me.c = 1;\n me.s0 = mash(' ');\n me.s1 = mash(' ');\n me.s2 = mash(' ');\n me.s0 -= mash(seed);\n if (me.s0 < 0) { me.s0 += 1; }\n me.s1 -= mash(seed);\n if (me.s1 < 0) { me.s1 += 1; }\n me.s2 -= mash(seed);\n if (me.s2 < 0) { me.s2 += 1; }\n mash = null;\n}\n\nfunction copy(f, t) {\n t.c = f.c;\n t.s0 = f.s0;\n t.s1 = f.s1;\n t.s2 = f.s2;\n return t;\n}\n\nfunction impl(seed, opts) {\n var xg = new Alea(seed),\n state = opts && opts.state,\n prng = xg.next;\n prng.int32 = function() { return (xg.next() * 0x100000000) | 0; }\n prng.double = function() {\n return prng() + (prng() * 0x200000 | 0) * 1.1102230246251565e-16; // 2^-53\n };\n prng.quick = prng;\n if (state) {\n if (typeof(state) == 'object') copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nfunction Mash() {\n var n = 0xefc8249d;\n\n var mash = function(data) {\n data = String(data);\n for (var i = 0; i < data.length; i++) {\n n += data.charCodeAt(i);\n var h = 0.02519603282416938 * n;\n n = h >>> 0;\n h -= n;\n h *= n;\n n = h >>> 0;\n h -= n;\n n += h * 0x100000000; // 2^32\n }\n return (n >>> 0) * 2.3283064365386963e-10; // 2^-32\n };\n\n return mash;\n}\n\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.alea = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n\n", "// A Javascript implementaion of the \"xor128\" prng algorithm by\n// George Marsaglia. See http://www.jstatsoft.org/v08/i14/paper\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this, strseed = '';\n\n me.x = 0;\n me.y = 0;\n me.z = 0;\n me.w = 0;\n\n // Set up generator function.\n me.next = function() {\n var t = me.x ^ (me.x << 11);\n me.x = me.y;\n me.y = me.z;\n me.z = me.w;\n return me.w ^= (me.w >>> 19) ^ t ^ (t >>> 8);\n };\n\n if (seed === (seed | 0)) {\n // Integer seed.\n me.x = seed;\n } else {\n // String seed.\n strseed += seed;\n }\n\n // Mix in string seed, then discard an initial batch of 64 values.\n for (var k = 0; k < strseed.length + 64; k++) {\n me.x ^= strseed.charCodeAt(k) | 0;\n me.next();\n }\n}\n\nfunction copy(f, t) {\n t.x = f.x;\n t.y = f.y;\n t.z = f.z;\n t.w = f.w;\n return t;\n}\n\nfunction impl(seed, opts) {\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (typeof(state) == 'object') copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.xor128 = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n\n", "// A Javascript implementaion of the \"xorwow\" prng algorithm by\n// George Marsaglia. See http://www.jstatsoft.org/v08/i14/paper\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this, strseed = '';\n\n // Set up generator function.\n me.next = function() {\n var t = (me.x ^ (me.x >>> 2));\n me.x = me.y; me.y = me.z; me.z = me.w; me.w = me.v;\n return (me.d = (me.d + 362437 | 0)) +\n (me.v = (me.v ^ (me.v << 4)) ^ (t ^ (t << 1))) | 0;\n };\n\n me.x = 0;\n me.y = 0;\n me.z = 0;\n me.w = 0;\n me.v = 0;\n\n if (seed === (seed | 0)) {\n // Integer seed.\n me.x = seed;\n } else {\n // String seed.\n strseed += seed;\n }\n\n // Mix in string seed, then discard an initial batch of 64 values.\n for (var k = 0; k < strseed.length + 64; k++) {\n me.x ^= strseed.charCodeAt(k) | 0;\n if (k == strseed.length) {\n me.d = me.x << 10 ^ me.x >>> 4;\n }\n me.next();\n }\n}\n\nfunction copy(f, t) {\n t.x = f.x;\n t.y = f.y;\n t.z = f.z;\n t.w = f.w;\n t.v = f.v;\n t.d = f.d;\n return t;\n}\n\nfunction impl(seed, opts) {\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (typeof(state) == 'object') copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.xorwow = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n\n", "// A Javascript implementaion of the \"xorshift7\" algorithm by\n// Fran\u00E7ois Panneton and Pierre L'ecuyer:\n// \"On the Xorgshift Random Number Generators\"\n// http://saluc.engr.uconn.edu/refs/crypto/rng/panneton05onthexorshift.pdf\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this;\n\n // Set up generator function.\n me.next = function() {\n // Update xor generator.\n var X = me.x, i = me.i, t, v, w;\n t = X[i]; t ^= (t >>> 7); v = t ^ (t << 24);\n t = X[(i + 1) & 7]; v ^= t ^ (t >>> 10);\n t = X[(i + 3) & 7]; v ^= t ^ (t >>> 3);\n t = X[(i + 4) & 7]; v ^= t ^ (t << 7);\n t = X[(i + 7) & 7]; t = t ^ (t << 13); v ^= t ^ (t << 9);\n X[i] = v;\n me.i = (i + 1) & 7;\n return v;\n };\n\n function init(me, seed) {\n var j, w, X = [];\n\n if (seed === (seed | 0)) {\n // Seed state array using a 32-bit integer.\n w = X[0] = seed;\n } else {\n // Seed state using a string.\n seed = '' + seed;\n for (j = 0; j < seed.length; ++j) {\n X[j & 7] = (X[j & 7] << 15) ^\n (seed.charCodeAt(j) + X[(j + 1) & 7] << 13);\n }\n }\n // Enforce an array length of 8, not all zeroes.\n while (X.length < 8) X.push(0);\n for (j = 0; j < 8 && X[j] === 0; ++j);\n if (j == 8) w = X[7] = -1; else w = X[j];\n\n me.x = X;\n me.i = 0;\n\n // Discard an initial 256 values.\n for (j = 256; j > 0; --j) {\n me.next();\n }\n }\n\n init(me, seed);\n}\n\nfunction copy(f, t) {\n t.x = f.x.slice();\n t.i = f.i;\n return t;\n}\n\nfunction impl(seed, opts) {\n if (seed == null) seed = +(new Date);\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (state.x) copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.xorshift7 = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n", "// A Javascript implementaion of Richard Brent's Xorgens xor4096 algorithm.\n//\n// This fast non-cryptographic random number generator is designed for\n// use in Monte-Carlo algorithms. It combines a long-period xorshift\n// generator with a Weyl generator, and it passes all common batteries\n// of stasticial tests for randomness while consuming only a few nanoseconds\n// for each prng generated. For background on the generator, see Brent's\n// paper: \"Some long-period random number generators using shifts and xors.\"\n// http://arxiv.org/pdf/1004.3115v1.pdf\n//\n// Usage:\n//\n// var xor4096 = require('xor4096');\n// random = xor4096(1); // Seed with int32 or string.\n// assert.equal(random(), 0.1520436450538547); // (0, 1) range, 53 bits.\n// assert.equal(random.int32(), 1806534897); // signed int32, 32 bits.\n//\n// For nonzero numeric keys, this impelementation provides a sequence\n// identical to that by Brent's xorgens 3 implementaion in C. This\n// implementation also provides for initalizing the generator with\n// string seeds, or for saving and restoring the state of the generator.\n//\n// On Chrome, this prng benchmarks about 2.1 times slower than\n// Javascript's built-in Math.random().\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this;\n\n // Set up generator function.\n me.next = function() {\n var w = me.w,\n X = me.X, i = me.i, t, v;\n // Update Weyl generator.\n me.w = w = (w + 0x61c88647) | 0;\n // Update xor generator.\n v = X[(i + 34) & 127];\n t = X[i = ((i + 1) & 127)];\n v ^= v << 13;\n t ^= t << 17;\n v ^= v >>> 15;\n t ^= t >>> 12;\n // Update Xor generator array state.\n v = X[i] = v ^ t;\n me.i = i;\n // Result is the combination.\n return (v + (w ^ (w >>> 16))) | 0;\n };\n\n function init(me, seed) {\n var t, v, i, j, w, X = [], limit = 128;\n if (seed === (seed | 0)) {\n // Numeric seeds initialize v, which is used to generates X.\n v = seed;\n seed = null;\n } else {\n // String seeds are mixed into v and X one character at a time.\n seed = seed + '\\0';\n v = 0;\n limit = Math.max(limit, seed.length);\n }\n // Initialize circular array and weyl value.\n for (i = 0, j = -32; j < limit; ++j) {\n // Put the unicode characters into the array, and shuffle them.\n if (seed) v ^= seed.charCodeAt((j + 32) % seed.length);\n // After 32 shuffles, take v as the starting w value.\n if (j === 0) w = v;\n v ^= v << 10;\n v ^= v >>> 15;\n v ^= v << 4;\n v ^= v >>> 13;\n if (j >= 0) {\n w = (w + 0x61c88647) | 0; // Weyl.\n t = (X[j & 127] ^= (v + w)); // Combine xor and weyl to init array.\n i = (0 == t) ? i + 1 : 0; // Count zeroes.\n }\n }\n // We have detected all zeroes; make the key nonzero.\n if (i >= 128) {\n X[(seed && seed.length || 0) & 127] = -1;\n }\n // Run the generator 512 times to further mix the state before using it.\n // Factoring this as a function slows the main generator, so it is just\n // unrolled here. The weyl generator is not advanced while warming up.\n i = 127;\n for (j = 4 * 128; j > 0; --j) {\n v = X[(i + 34) & 127];\n t = X[i = ((i + 1) & 127)];\n v ^= v << 13;\n t ^= t << 17;\n v ^= v >>> 15;\n t ^= t >>> 12;\n X[i] = v ^ t;\n }\n // Storing state as object members is faster than using closure variables.\n me.w = w;\n me.X = X;\n me.i = i;\n }\n\n init(me, seed);\n}\n\nfunction copy(f, t) {\n t.i = f.i;\n t.w = f.w;\n t.X = f.X.slice();\n return t;\n};\n\nfunction impl(seed, opts) {\n if (seed == null) seed = +(new Date);\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (state.X) copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.xor4096 = impl;\n}\n\n})(\n this, // window object or global\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n", "// A Javascript implementaion of the \"Tyche-i\" prng algorithm by\n// Samuel Neves and Filipe Araujo.\n// See https://eden.dei.uc.pt/~sneves/pubs/2011-snfa2.pdf\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this, strseed = '';\n\n // Set up generator function.\n me.next = function() {\n var b = me.b, c = me.c, d = me.d, a = me.a;\n b = (b << 25) ^ (b >>> 7) ^ c;\n c = (c - d) | 0;\n d = (d << 24) ^ (d >>> 8) ^ a;\n a = (a - b) | 0;\n me.b = b = (b << 20) ^ (b >>> 12) ^ c;\n me.c = c = (c - d) | 0;\n me.d = (d << 16) ^ (c >>> 16) ^ a;\n return me.a = (a - b) | 0;\n };\n\n /* The following is non-inverted tyche, which has better internal\n * bit diffusion, but which is about 25% slower than tyche-i in JS.\n me.next = function() {\n var a = me.a, b = me.b, c = me.c, d = me.d;\n a = (me.a + me.b | 0) >>> 0;\n d = me.d ^ a; d = d << 16 ^ d >>> 16;\n c = me.c + d | 0;\n b = me.b ^ c; b = b << 12 ^ d >>> 20;\n me.a = a = a + b | 0;\n d = d ^ a; me.d = d = d << 8 ^ d >>> 24;\n me.c = c = c + d | 0;\n b = b ^ c;\n return me.b = (b << 7 ^ b >>> 25);\n }\n */\n\n me.a = 0;\n me.b = 0;\n me.c = 2654435769 | 0;\n me.d = 1367130551;\n\n if (seed === Math.floor(seed)) {\n // Integer seed.\n me.a = (seed / 0x100000000) | 0;\n me.b = seed | 0;\n } else {\n // String seed.\n strseed += seed;\n }\n\n // Mix in string seed, then discard an initial batch of 64 values.\n for (var k = 0; k < strseed.length + 20; k++) {\n me.b ^= strseed.charCodeAt(k) | 0;\n me.next();\n }\n}\n\nfunction copy(f, t) {\n t.a = f.a;\n t.b = f.b;\n t.c = f.c;\n t.d = f.d;\n return t;\n};\n\nfunction impl(seed, opts) {\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (typeof(state) == 'object') copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.tychei = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n\n", "/*\nCopyright 2019 David Bau.\n\nPermission is hereby granted, free of charge, to any person obtaining\na copy of this software and associated documentation files (the\n\"Software\"), to deal in the Software without restriction, including\nwithout limitation the rights to use, copy, modify, merge, publish,\ndistribute, sublicense, and/or sell copies of the Software, and to\npermit persons to whom the Software is furnished to do so, subject to\nthe following conditions:\n\nThe above copyright notice and this permission notice shall be\nincluded in all copies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND,\nEXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF\nMERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.\nIN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY\nCLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,\nTORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE\nSOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.\n\n*/\n\n(function (global, pool, math) {\n//\n// The following constants are related to IEEE 754 limits.\n//\n\nvar width = 256, // each RC4 output is 0 <= x < 256\n chunks = 6, // at least six RC4 outputs for each double\n digits = 52, // there are 52 significant digits in a double\n rngname = 'random', // rngname: name for Math.random and Math.seedrandom\n startdenom = math.pow(width, chunks),\n significance = math.pow(2, digits),\n overflow = significance * 2,\n mask = width - 1,\n nodecrypto; // node.js crypto module, initialized at the bottom.\n\n//\n// seedrandom()\n// This is the seedrandom function described above.\n//\nfunction seedrandom(seed, options, callback) {\n var key = [];\n options = (options == true) ? { entropy: true } : (options || {});\n\n // Flatten the seed string or build one from local entropy if needed.\n var shortseed = mixkey(flatten(\n options.entropy ? [seed, tostring(pool)] :\n (seed == null) ? autoseed() : seed, 3), key);\n\n // Use the seed to initialize an ARC4 generator.\n var arc4 = new ARC4(key);\n\n // This function returns a random double in [0, 1) that contains\n // randomness in every bit of the mantissa of the IEEE 754 value.\n var prng = function() {\n var n = arc4.g(chunks), // Start with a numerator n < 2 ^ 48\n d = startdenom, // and denominator d = 2 ^ 48.\n x = 0; // and no 'extra last byte'.\n while (n < significance) { // Fill up all significant digits by\n n = (n + x) * width; // shifting numerator and\n d *= width; // denominator and generating a\n x = arc4.g(1); // new least-significant-byte.\n }\n while (n >= overflow) { // To avoid rounding up, before adding\n n /= 2; // last byte, shift everything\n d /= 2; // right using integer math until\n x >>>= 1; // we have exactly the desired bits.\n }\n return (n + x) / d; // Form the number within [0, 1).\n };\n\n prng.int32 = function() { return arc4.g(4) | 0; }\n prng.quick = function() { return arc4.g(4) / 0x100000000; }\n prng.double = prng;\n\n // Mix the randomness into accumulated entropy.\n mixkey(tostring(arc4.S), pool);\n\n // Calling convention: what to return as a function of prng, seed, is_math.\n return (options.pass || callback ||\n function(prng, seed, is_math_call, state) {\n if (state) {\n // Load the arc4 state from the given state if it has an S array.\n if (state.S) { copy(state, arc4); }\n // Only provide the .state method if requested via options.state.\n prng.state = function() { return copy(arc4, {}); }\n }\n\n // If called as a method of Math (Math.seedrandom()), mutate\n // Math.random because that is how seedrandom.js has worked since v1.0.\n if (is_math_call) { math[rngname] = prng; return seed; }\n\n // Otherwise, it is a newer calling convention, so return the\n // prng directly.\n else return prng;\n })(\n prng,\n shortseed,\n 'global' in options ? options.global : (this == math),\n options.state);\n}\n\n//\n// ARC4\n//\n// An ARC4 implementation. The constructor takes a key in the form of\n// an array of at most (width) integers that should be 0 <= x < (width).\n//\n// The g(count) method returns a pseudorandom integer that concatenates\n// the next (count) outputs from ARC4. Its return value is a number x\n// that is in the range 0 <= x < (width ^ count).\n//\nfunction ARC4(key) {\n var t, keylen = key.length,\n me = this, i = 0, j = me.i = me.j = 0, s = me.S = [];\n\n // The empty key [] is treated as [0].\n if (!keylen) { key = [keylen++]; }\n\n // Set up S using the standard key scheduling algorithm.\n while (i < width) {\n s[i] = i++;\n }\n for (i = 0; i < width; i++) {\n s[i] = s[j = mask & (j + key[i % keylen] + (t = s[i]))];\n s[j] = t;\n }\n\n // The \"g\" method returns the next (count) outputs as one number.\n (me.g = function(count) {\n // Using instance members instead of closure state nearly doubles speed.\n var t, r = 0,\n i = me.i, j = me.j, s = me.S;\n while (count--) {\n t = s[i = mask & (i + 1)];\n r = r * width + s[mask & ((s[i] = s[j = mask & (j + t)]) + (s[j] = t))];\n }\n me.i = i; me.j = j;\n return r;\n // For robust unpredictability, the function call below automatically\n // discards an initial batch of values. This is called RC4-drop[256].\n // See http://google.com/search?q=rsa+fluhrer+response&btnI\n })(width);\n}\n\n//\n// copy()\n// Copies internal state of ARC4 to or from a plain object.\n//\nfunction copy(f, t) {\n t.i = f.i;\n t.j = f.j;\n t.S = f.S.slice();\n return t;\n};\n\n//\n// flatten()\n// Converts an object tree to nested arrays of strings.\n//\nfunction flatten(obj, depth) {\n var result = [], typ = (typeof obj), prop;\n if (depth && typ == 'object') {\n for (prop in obj) {\n try { result.push(flatten(obj[prop], depth - 1)); } catch (e) {}\n }\n }\n return (result.length ? result : typ == 'string' ? obj : obj + '\\0');\n}\n\n//\n// mixkey()\n// Mixes a string seed into a key that is an array of integers, and\n// returns a shortened string seed that is equivalent to the result key.\n//\nfunction mixkey(seed, key) {\n var stringseed = seed + '', smear, j = 0;\n while (j < stringseed.length) {\n key[mask & j] =\n mask & ((smear ^= key[mask & j] * 19) + stringseed.charCodeAt(j++));\n }\n return tostring(key);\n}\n\n//\n// autoseed()\n// Returns an object for autoseeding, using window.crypto and Node crypto\n// module if available.\n//\nfunction autoseed() {\n try {\n var out;\n if (nodecrypto && (out = nodecrypto.randomBytes)) {\n // The use of 'out' to remember randomBytes makes tight minified code.\n out = out(width);\n } else {\n out = new Uint8Array(width);\n (global.crypto || global.msCrypto).getRandomValues(out);\n }\n return tostring(out);\n } catch (e) {\n var browser = global.navigator,\n plugins = browser && browser.plugins;\n return [+new Date, global, plugins, global.screen, tostring(pool)];\n }\n}\n\n//\n// tostring()\n// Converts an array of charcodes to a string\n//\nfunction tostring(a) {\n return String.fromCharCode.apply(0, a);\n}\n\n//\n// When seedrandom.js is loaded, we immediately mix a few bits\n// from the built-in RNG into the entropy pool. Because we do\n// not want to interfere with deterministic PRNG state later,\n// seedrandom will not call math.random on its own again after\n// initialization.\n//\nmixkey(math.random(), pool);\n\n//\n// Nodejs and AMD support: export the implementation as a module using\n// either convention.\n//\nif ((typeof module) == 'object' && module.exports) {\n module.exports = seedrandom;\n // When in node.js, try using crypto package for autoseeding.\n try {\n nodecrypto = require('crypto');\n } catch (ex) {}\n} else if ((typeof define) == 'function' && define.amd) {\n define(function() { return seedrandom; });\n} else {\n // When included as a plain script, set up Math.seedrandom global.\n math['seed' + rngname] = seedrandom;\n}\n\n\n// End anonymous scope, and pass initial values.\n})(\n // global: `self` in browsers (including strict mode and web workers),\n // otherwise `this` in Node and other environments\n (typeof self !== 'undefined') ? self : this,\n [], // pool: entropy pool starts empty\n Math // math: package containing random, pow, and seedrandom\n);\n", "// A library of seedable RNGs implemented in Javascript.\n//\n// Usage:\n//\n// var seedrandom = require('seedrandom');\n// var random = seedrandom(1); // or any seed.\n// var x = random(); // 0 <= x < 1. Every bit is random.\n// var x = random.quick(); // 0 <= x < 1. 32 bits of randomness.\n\n// alea, a 53-bit multiply-with-carry generator by Johannes Baag\u00F8e.\n// Period: ~2^116\n// Reported to pass all BigCrush tests.\nvar alea = require('./lib/alea');\n\n// xor128, a pure xor-shift generator by George Marsaglia.\n// Period: 2^128-1.\n// Reported to fail: MatrixRank and LinearComp.\nvar xor128 = require('./lib/xor128');\n\n// xorwow, George Marsaglia's 160-bit xor-shift combined plus weyl.\n// Period: 2^192-2^32\n// Reported to fail: CollisionOver, SimpPoker, and LinearComp.\nvar xorwow = require('./lib/xorwow');\n\n// xorshift7, by Fran\u00E7ois Panneton and Pierre L'ecuyer, takes\n// a different approach: it adds robustness by allowing more shifts\n// than Marsaglia's original three. It is a 7-shift generator\n// with 256 bits, that passes BigCrush with no systmatic failures.\n// Period 2^256-1.\n// No systematic BigCrush failures reported.\nvar xorshift7 = require('./lib/xorshift7');\n\n// xor4096, by Richard Brent, is a 4096-bit xor-shift with a\n// very long period that also adds a Weyl generator. It also passes\n// BigCrush with no systematic failures. Its long period may\n// be useful if you have many generators and need to avoid\n// collisions.\n// Period: 2^4128-2^32.\n// No systematic BigCrush failures reported.\nvar xor4096 = require('./lib/xor4096');\n\n// Tyche-i, by Samuel Neves and Filipe Araujo, is a bit-shifting random\n// number generator derived from ChaCha, a modern stream cipher.\n// https://eden.dei.uc.pt/~sneves/pubs/2011-snfa2.pdf\n// Period: ~2^127\n// No systematic BigCrush failures reported.\nvar tychei = require('./lib/tychei');\n\n// The original ARC4-based prng included in this library.\n// Period: ~2^1600\nvar sr = require('./seedrandom');\n\nsr.alea = alea;\nsr.xor128 = xor128;\nsr.xorwow = xorwow;\nsr.xorshift7 = xorshift7;\nsr.xor4096 = xor4096;\nsr.tychei = tychei;\n\nmodule.exports = sr;\n", "", null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, "export const wasmWorkerContents = 'var threadInfoStruct=0;var selfThreadId=0;var parentThreadId=0;var Module={};function 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null, null, null, "// wrapper to load tfjs in a single place so version can be changed quickly\n\n// simplified\n// { modules: 1061, moduleBytes: 3772720, outputBytes: 1531035 }\n\n// export * from '@tensorflow/tfjs/dist/index.js';\n// export * from '@tensorflow/tfjs-backend-wasm';\n\n// modular\n// { modules: 1064, moduleBytes: 3793219, outputBytes: 1535600 }\n\n// get versions of all packages.\nimport * as packageBundle from '@tensorflow/tfjs/package.json';\nimport * as packageCore from '@tensorflow/tfjs-core/package.json';\nimport * as packageData from '@tensorflow/tfjs-data/package.json';\nimport * as packageLayers from '@tensorflow/tfjs-layers/package.json';\nimport * as packageConverter from '@tensorflow/tfjs-converter/package.json';\n// for backends, get version from source so it can register backend during import\nimport { version_cpu } from '@tensorflow/tfjs-backend-cpu/dist/index.js';\nimport { version_webgl } from '@tensorflow/tfjs-backend-webgl/dist/index.js';\nimport { version_wasm } from '@tensorflow/tfjs-backend-wasm/dist/index.js';\n\n// export all\nexport * from '@tensorflow/tfjs-core/dist/index.js';\nexport * from '@tensorflow/tfjs-layers/dist/index.js';\nexport * from '@tensorflow/tfjs-converter/dist/index.js';\nexport * as data from '@tensorflow/tfjs-data/dist/index.js';\nexport * from '@tensorflow/tfjs-backend-cpu/dist/index.js';\nexport * from '@tensorflow/tfjs-backend-webgl/dist/index.js';\nexport * from '@tensorflow/tfjs-backend-wasm/dist/index.js';\n\n// export versions\nexport const version = {\n tfjs: packageBundle.version,\n 'tfjs-core': packageCore.version,\n 'tfjs-data': packageData.version,\n 'tfjs-layers': packageLayers.version,\n 'tfjs-converter': packageConverter.version,\n 'tfjs-backend-cpu': version_cpu,\n 'tfjs-backend-webgl': version_webgl,\n 'tfjs-backend-wasm': version_wasm,\n};\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\n\nexport const config = {\n name: 'humangl',\n priority: 99,\n canvas: null,\n gl: null,\n width: 1024,\n height: 1024,\n webGLattr: { // https://www.khronos.org/registry/webgl/specs/latest/1.0/#5.2\n alpha: false,\n antialias: false,\n premultipliedAlpha: false,\n preserveDrawingBuffer: false,\n depth: false,\n stencil: false,\n failIfMajorPerformanceCaveat: false,\n desynchronized: true,\n },\n};\n\nexport function register() {\n if (!tf.findBackend(config.name)) {\n log('backend registration:', config.name);\n try {\n // @ts-ignore\n config.canvas = (typeof OffscreenCanvas !== 'undefined') ? new OffscreenCanvas(config.width, config.height) : document.createElement('canvas');\n } catch (err) {\n log('error: cannot create canvas:', err);\n return;\n }\n try {\n // @ts-ignore\n config.gl = config.canvas.getContext('webgl2', config.webGLattr);\n } catch (err) {\n log('error: cannot get WebGL2 context:', err);\n return;\n }\n try {\n tf.setWebGLContext(2, config.gl);\n } catch (err) {\n log('error: cannot set WebGL2 context:', err);\n return;\n }\n try {\n const ctx = new tf.GPGPUContext(config.gl);\n tf.registerBackend(config.name, () => new tf.MathBackendWebGL(ctx), config.priority);\n } catch (err) {\n log('error: cannot register WebGL backend:', err);\n return;\n }\n try {\n const kernels = tf.getKernelsForBackend('webgl');\n kernels.forEach((kernelConfig) => {\n const newKernelConfig = { ...kernelConfig, backendName: config.name };\n tf.registerKernel(newKernelConfig);\n });\n } catch (err) {\n log('error: cannot update WebGL backend registration:', err);\n return;\n }\n try {\n tf.ENV.set('WEBGL_VERSION', 2);\n // @ts-ignore\n tf.ENV.set('WEBGL_MAX_TEXTURE_SIZE', config.gl.getParameter(config.gl.MAX_TEXTURE_SIZE));\n tf.ENV.set('WEBGL_FORCE_F16_TEXTURES', true);\n tf.ENV.set('WEBGL_PACK_DEPTHWISECONV', true);\n } catch (err) {\n log('error: cannot set WebGL backend flags:', err);\n return;\n }\n log('backend registered:', config.name);\n }\n}\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\n\nconst NUM_LANDMARKS = 6;\n\nfunction generateAnchors(inputSize) {\n const spec = { strides: [inputSize / 16, inputSize / 8], anchors: [2, 6] };\n const anchors: Array<[number, number]> = [];\n for (let i = 0; i < spec.strides.length; i++) {\n const stride = spec.strides[i];\n const gridRows = Math.floor((inputSize + stride - 1) / stride);\n const gridCols = Math.floor((inputSize + stride - 1) / stride);\n const anchorsNum = spec.anchors[i];\n for (let gridY = 0; gridY < gridRows; gridY++) {\n const anchorY = stride * (gridY + 0.5);\n for (let gridX = 0; gridX < gridCols; gridX++) {\n const anchorX = stride * (gridX + 0.5);\n for (let n = 0; n < anchorsNum; n++) {\n anchors.push([anchorX, anchorY]);\n }\n }\n }\n }\n return anchors;\n}\n\nexport const disposeBox = (box) => {\n box.startEndTensor.dispose();\n box.startPoint.dispose();\n box.endPoint.dispose();\n};\n\nconst createBox = (startEndTensor) => ({\n startEndTensor,\n startPoint: tf.slice(startEndTensor, [0, 0], [-1, 2]),\n endPoint: tf.slice(startEndTensor, [0, 2], [-1, 2]),\n});\n\nfunction decodeBounds(boxOutputs, anchors, inputSize) {\n const boxStarts = tf.slice(boxOutputs, [0, 1], [-1, 2]);\n const centers = tf.add(boxStarts, anchors);\n const boxSizes = tf.slice(boxOutputs, [0, 3], [-1, 2]);\n const boxSizesNormalized = tf.div(boxSizes, inputSize);\n const centersNormalized = tf.div(centers, inputSize);\n const halfBoxSize = tf.div(boxSizesNormalized, 2);\n const starts = tf.sub(centersNormalized, halfBoxSize);\n const ends = tf.add(centersNormalized, halfBoxSize);\n const startNormalized = tf.mul(starts, inputSize);\n const endNormalized = tf.mul(ends, inputSize);\n const concatAxis = 1;\n return tf.concat2d([startNormalized, endNormalized], concatAxis);\n}\n\nexport class BlazeFaceModel {\n blazeFaceModel: any;\n width: number;\n height: number;\n anchorsData: any;\n anchors: any;\n inputSize: number;\n config: any;\n scaleFaces: number;\n\n constructor(model, config) {\n this.blazeFaceModel = model;\n this.width = config.face.detector.inputSize;\n this.height = config.face.detector.inputSize;\n this.anchorsData = generateAnchors(config.face.detector.inputSize);\n this.anchors = tf.tensor2d(this.anchorsData);\n this.inputSize = tf.tensor1d([this.width, this.height]);\n this.config = config;\n this.scaleFaces = 0.8;\n }\n\n async getBoundingBoxes(inputImage) {\n // sanity check on input\n if ((!inputImage) || (inputImage.isDisposedInternal) || (inputImage.shape.length !== 4) || (inputImage.shape[1] < 1) || (inputImage.shape[2] < 1)) return null;\n const [detectedOutputs, boxes, scores] = tf.tidy(() => {\n const resizedImage = inputImage.resizeBilinear([this.width, this.height]);\n // const normalizedImage = tf.mul(tf.sub(resizedImage.div(255), 0.5), 2);\n const normalizedImage = tf.sub(resizedImage.div(127.5), 1);\n const batchedPrediction = this.blazeFaceModel.predict(normalizedImage);\n let prediction;\n // are we using tfhub or pinto converted model?\n if (Array.isArray(batchedPrediction)) {\n const sorted = batchedPrediction.sort((a, b) => a.size - b.size);\n const concat384 = tf.concat([sorted[0], sorted[2]], 2); // dim: 384, 1 + 16\n const concat512 = tf.concat([sorted[1], sorted[3]], 2); // dim: 512, 1 + 16\n const concat = tf.concat([concat512, concat384], 1);\n prediction = concat.squeeze(0);\n } else {\n prediction = batchedPrediction.squeeze(); // when using tfhub model\n }\n const decodedBounds = decodeBounds(prediction, this.anchors, this.inputSize);\n const logits = tf.slice(prediction, [0, 0], [-1, 1]);\n const scoresOut = tf.sigmoid(logits).squeeze();\n return [prediction, decodedBounds, scoresOut];\n });\n const boxIndicesTensor = await tf.image.nonMaxSuppressionAsync(boxes, scores, this.config.face.detector.maxFaces, this.config.face.detector.iouThreshold, this.config.face.detector.scoreThreshold);\n const boxIndices = boxIndicesTensor.arraySync();\n boxIndicesTensor.dispose();\n const boundingBoxesMap = boxIndices.map((boxIndex) => tf.slice(boxes, [boxIndex, 0], [1, -1]));\n const boundingBoxes = boundingBoxesMap.map((boundingBox) => {\n const vals = boundingBox.arraySync();\n boundingBox.dispose();\n return vals;\n });\n\n const scoresVal = scores.dataSync();\n const annotatedBoxes: Array<{ box: any, landmarks: any, anchor: any, confidence: number }> = [];\n for (let i = 0; i < boundingBoxes.length; i++) {\n const boxIndex = boxIndices[i];\n const confidence = scoresVal[boxIndex];\n if (confidence > this.config.face.detector.minConfidence) {\n const box = createBox(boundingBoxes[i]);\n const anchor = this.anchorsData[boxIndex];\n const landmarks = tf.tidy(() => tf.slice(detectedOutputs, [boxIndex, NUM_LANDMARKS - 1], [1, -1]).squeeze().reshape([NUM_LANDMARKS, -1]));\n annotatedBoxes.push({ box, landmarks, anchor, confidence });\n }\n }\n detectedOutputs.dispose();\n boxes.dispose();\n scores.dispose();\n detectedOutputs.dispose();\n return {\n boxes: annotatedBoxes,\n scaleFactor: [inputImage.shape[2] / this.width, inputImage.shape[1] / this.height],\n };\n }\n}\n\nexport async function load(config) {\n const blazeface = await tf.loadGraphModel(config.face.detector.modelPath, { fromTFHub: config.face.detector.modelPath.includes('tfhub.dev') });\n const model = new BlazeFaceModel(blazeface, config);\n log(`load model: ${config.face.detector.modelPath.match(/\\/(.*)\\./)[1]}`);\n return model;\n}\n", "import * as tf from '../../dist/tfjs.esm.js';\n\nexport function scaleBoxCoordinates(box, factor) {\n const startPoint = [box.startPoint[0] * factor[0], box.startPoint[1] * factor[1]];\n const endPoint = [box.endPoint[0] * factor[0], box.endPoint[1] * factor[1]];\n return { startPoint, endPoint };\n}\n\nexport function getBoxSize(box) {\n return [\n Math.abs(box.endPoint[0] - box.startPoint[0]),\n Math.abs(box.endPoint[1] - box.startPoint[1]),\n ];\n}\n\nexport function getBoxCenter(box) {\n return [\n box.startPoint[0] + (box.endPoint[0] - box.startPoint[0]) / 2,\n box.startPoint[1] + (box.endPoint[1] - box.startPoint[1]) / 2,\n ];\n}\n\nexport function cutBoxFromImageAndResize(box, image, cropSize) {\n const h = image.shape[1];\n const w = image.shape[2];\n const boxes = [[\n box.startPoint[1] / h, box.startPoint[0] / w, box.endPoint[1] / h,\n box.endPoint[0] / w,\n ]];\n return tf.image.cropAndResize(image, boxes, [0], cropSize);\n}\n\nexport function enlargeBox(box, factor = 1.5) {\n const center = getBoxCenter(box);\n const size = getBoxSize(box);\n const newHalfSize = [factor * size[0] / 2, factor * size[1] / 2];\n const startPoint = [center[0] - newHalfSize[0], center[1] - newHalfSize[1]];\n const endPoint = [center[0] + newHalfSize[0], center[1] + newHalfSize[1]];\n return { startPoint, endPoint, landmarks: box.landmarks };\n}\n\nexport function squarifyBox(box) {\n const centers = getBoxCenter(box);\n const size = getBoxSize(box);\n const maxEdge = Math.max(...size);\n const halfSize = maxEdge / 2;\n const startPoint = [centers[0] - halfSize, centers[1] - halfSize];\n const endPoint = [centers[0] + halfSize, centers[1] + halfSize];\n return { startPoint, endPoint, landmarks: box.landmarks };\n}\n", "export const IDENTITY_MATRIX = [[1, 0, 0], [0, 1, 0], [0, 0, 1]];\n/**\n * Normalizes the provided angle to the range -pi to pi.\n * @param angle The angle in radians to be normalized.\n */\nexport function normalizeRadians(angle) {\n return angle - 2 * Math.PI * Math.floor((angle + Math.PI) / (2 * Math.PI));\n}\n\n/**\n * Computes the angle of rotation between two anchor points.\n * @param point1 First anchor point\n * @param point2 Second anchor point\n */\nexport function computeRotation(point1, point2) {\n const radians = Math.PI / 2 - Math.atan2(-(point2[1] - point1[1]), point2[0] - point1[0]);\n return normalizeRadians(radians);\n}\n\nexport function radToDegrees(rad) {\n return rad * 180 / Math.PI;\n}\n\nexport function buildTranslationMatrix(x, y) {\n return [[1, 0, x], [0, 1, y], [0, 0, 1]];\n}\n\nexport function dot(v1, v2) {\n let product = 0;\n for (let i = 0; i < v1.length; i++) {\n product += v1[i] * v2[i];\n }\n return product;\n}\n\nexport function getColumnFrom2DArr(arr, columnIndex) {\n const column: Array = [];\n for (let i = 0; i < arr.length; i++) {\n column.push(arr[i][columnIndex]);\n }\n return column;\n}\n\nexport function multiplyTransformMatrices(mat1, mat2) {\n const product: Array = [];\n const size = mat1.length;\n for (let row = 0; row < size; row++) {\n product.push([]);\n for (let col = 0; col < size; col++) {\n product[row].push(dot(mat1[row], getColumnFrom2DArr(mat2, col)));\n }\n }\n return product;\n}\n\nexport function buildRotationMatrix(rotation, center) {\n const cosA = Math.cos(rotation);\n const sinA = Math.sin(rotation);\n const rotationMatrix = [[cosA, -sinA, 0], [sinA, cosA, 0], [0, 0, 1]];\n const translationMatrix = buildTranslationMatrix(center[0], center[1]);\n const translationTimesRotation = multiplyTransformMatrices(translationMatrix, rotationMatrix);\n const negativeTranslationMatrix = buildTranslationMatrix(-center[0], -center[1]);\n return multiplyTransformMatrices(translationTimesRotation, negativeTranslationMatrix);\n}\n\nexport function invertTransformMatrix(matrix) {\n const rotationComponent = [[matrix[0][0], matrix[1][0]], [matrix[0][1], matrix[1][1]]];\n const translationComponent = [matrix[0][2], matrix[1][2]];\n const invertedTranslation = [\n -dot(rotationComponent[0], translationComponent),\n -dot(rotationComponent[1], translationComponent),\n ];\n return [\n rotationComponent[0].concat(invertedTranslation[0]),\n rotationComponent[1].concat(invertedTranslation[1]),\n [0, 0, 1],\n ];\n}\n\nexport function rotatePoint(homogeneousCoordinate, rotationMatrix) {\n return [\n dot(homogeneousCoordinate, rotationMatrix[0]),\n dot(homogeneousCoordinate, rotationMatrix[1]),\n ];\n}\n\nexport function xyDistanceBetweenPoints(a, b) {\n return Math.sqrt(((a[0] - b[0]) ** 2) + ((a[1] - b[1]) ** 2));\n}\n", "export const MESH_ANNOTATIONS = {\n silhouette: [\n 10, 338, 297, 332, 284, 251, 389, 356, 454, 323, 361, 288,\n 397, 365, 379, 378, 400, 377, 152, 148, 176, 149, 150, 136,\n 172, 58, 132, 93, 234, 127, 162, 21, 54, 103, 67, 109,\n ],\n lipsUpperOuter: [61, 185, 40, 39, 37, 0, 267, 269, 270, 409, 291],\n lipsLowerOuter: [146, 91, 181, 84, 17, 314, 405, 321, 375, 291],\n lipsUpperInner: [78, 191, 80, 81, 82, 13, 312, 311, 310, 415, 308],\n lipsLowerInner: [78, 95, 88, 178, 87, 14, 317, 402, 318, 324, 308],\n rightEyeUpper0: [246, 161, 160, 159, 158, 157, 173],\n rightEyeLower0: [33, 7, 163, 144, 145, 153, 154, 155, 133],\n rightEyeUpper1: [247, 30, 29, 27, 28, 56, 190],\n rightEyeLower1: [130, 25, 110, 24, 23, 22, 26, 112, 243],\n rightEyeUpper2: [113, 225, 224, 223, 222, 221, 189],\n rightEyeLower2: [226, 31, 228, 229, 230, 231, 232, 233, 244],\n rightEyeLower3: [143, 111, 117, 118, 119, 120, 121, 128, 245],\n rightEyebrowUpper: [156, 70, 63, 105, 66, 107, 55, 193],\n rightEyebrowLower: [35, 124, 46, 53, 52, 65],\n rightEyeIris: [473, 474, 475, 476, 477],\n leftEyeUpper0: [466, 388, 387, 386, 385, 384, 398],\n leftEyeLower0: [263, 249, 390, 373, 374, 380, 381, 382, 362],\n leftEyeUpper1: [467, 260, 259, 257, 258, 286, 414],\n leftEyeLower1: [359, 255, 339, 254, 253, 252, 256, 341, 463],\n leftEyeUpper2: [342, 445, 444, 443, 442, 441, 413],\n leftEyeLower2: [446, 261, 448, 449, 450, 451, 452, 453, 464],\n leftEyeLower3: [372, 340, 346, 347, 348, 349, 350, 357, 465],\n leftEyebrowUpper: [383, 300, 293, 334, 296, 336, 285, 417],\n leftEyebrowLower: [265, 353, 276, 283, 282, 295],\n leftEyeIris: [468, 469, 470, 471, 472],\n midwayBetweenEyes: [168],\n noseTip: [1],\n noseBottom: [2],\n noseRightCorner: [98],\n noseLeftCorner: [327],\n rightCheek: [205],\n leftCheek: [425],\n};\n\nexport const MESH_TO_IRIS_INDICES_MAP = [ // A mapping from facemesh model keypoints to iris model keypoints.\n { key: 'EyeUpper0', indices: [9, 10, 11, 12, 13, 14, 15] },\n { key: 'EyeUpper1', indices: [25, 26, 27, 28, 29, 30, 31] },\n { key: 'EyeUpper2', indices: [41, 42, 43, 44, 45, 46, 47] },\n { key: 'EyeLower0', indices: [0, 1, 2, 3, 4, 5, 6, 7, 8] },\n { key: 'EyeLower1', indices: [16, 17, 18, 19, 20, 21, 22, 23, 24] },\n { key: 'EyeLower2', indices: [32, 33, 34, 35, 36, 37, 38, 39, 40] },\n { key: 'EyeLower3', indices: [54, 55, 56, 57, 58, 59, 60, 61, 62] },\n // { key: 'EyebrowUpper', indices: [63, 64, 65, 66, 67, 68, 69, 70] },\n // { key: 'EyebrowLower', indices: [48, 49, 50, 51, 52, 53] },\n];\n\nexport const UV468 = [\n [0.499976992607117, 0.652534008026123],\n [0.500025987625122, 0.547487020492554],\n [0.499974012374878, 0.602371990680695],\n [0.482113003730774, 0.471979022026062],\n [0.500150978565216, 0.527155995368958],\n [0.499909996986389, 0.498252987861633],\n [0.499523013830185, 0.40106201171875],\n [0.289712011814117, 0.380764007568359],\n [0.499954998493195, 0.312398016452789],\n [0.499987006187439, 0.269918978214264],\n [0.500023007392883, 0.107050001621246],\n [0.500023007392883, 0.666234016418457],\n [0.5000159740448, 0.679224014282227],\n [0.500023007392883, 0.692348003387451],\n [0.499976992607117, 0.695277988910675],\n [0.499976992607117, 0.70593398809433],\n [0.499976992607117, 0.719385027885437],\n [0.499976992607117, 0.737019002437592],\n [0.499967992305756, 0.781370997428894],\n [0.499816000461578, 0.562981009483337],\n [0.473773002624512, 0.573909997940063],\n [0.104906998574734, 0.254140973091125],\n [0.365929991006851, 0.409575998783112],\n [0.338757991790771, 0.41302502155304],\n [0.311120003461838, 0.409460008144379],\n [0.274657994508743, 0.389131009578705],\n [0.393361985683441, 0.403706014156342],\n [0.345234006643295, 0.344011008739471],\n [0.370094001293182, 0.346076011657715],\n [0.319321990013123, 0.347265005111694],\n [0.297903001308441, 0.353591024875641],\n [0.24779200553894, 0.410809993743896],\n [0.396889001131058, 0.842755019664764],\n [0.280097991228104, 0.375599980354309],\n [0.106310002505779, 0.399955987930298],\n [0.2099249958992, 0.391353011131287],\n [0.355807989835739, 0.534406006336212],\n [0.471751004457474, 0.65040397644043],\n [0.474155008792877, 0.680191993713379],\n [0.439785003662109, 0.657229006290436],\n [0.414617002010345, 0.66654098033905],\n [0.450374007225037, 0.680860996246338],\n [0.428770989179611, 0.682690978050232],\n [0.374971002340317, 0.727805018424988],\n [0.486716985702515, 0.547628998756409],\n [0.485300987958908, 0.527395009994507],\n [0.257764995098114, 0.314490020275116],\n [0.401223003864288, 0.455172002315521],\n [0.429818987846375, 0.548614978790283],\n [0.421351999044418, 0.533740997314453],\n [0.276895999908447, 0.532056987285614],\n [0.483370006084442, 0.499586999416351],\n [0.33721199631691, 0.282882988452911],\n [0.296391993761063, 0.293242990970612],\n [0.169294998049736, 0.193813979625702],\n [0.447580009698868, 0.302609980106354],\n [0.392390012741089, 0.353887975215912],\n [0.354490011930466, 0.696784019470215],\n [0.067304998636246, 0.730105042457581],\n [0.442739009857178, 0.572826027870178],\n [0.457098007202148, 0.584792017936707],\n [0.381974011659622, 0.694710969924927],\n [0.392388999462128, 0.694203019142151],\n [0.277076005935669, 0.271932005882263],\n [0.422551989555359, 0.563233017921448],\n [0.385919004678726, 0.281364023685455],\n [0.383103013038635, 0.255840003490448],\n [0.331431001424789, 0.119714021682739],\n [0.229923993349075, 0.232002973556519],\n [0.364500999450684, 0.189113974571228],\n [0.229622006416321, 0.299540996551514],\n [0.173287004232407, 0.278747975826263],\n [0.472878992557526, 0.666198015213013],\n [0.446828007698059, 0.668527007102966],\n [0.422762006521225, 0.673889994621277],\n [0.445307999849319, 0.580065965652466],\n [0.388103008270264, 0.693961024284363],\n [0.403039008378983, 0.706539988517761],\n [0.403629004955292, 0.693953037261963],\n [0.460041999816895, 0.557139039039612],\n [0.431158006191254, 0.692366003990173],\n [0.452181994915009, 0.692366003990173],\n [0.475387006998062, 0.692366003990173],\n [0.465828001499176, 0.779190003871918],\n [0.472328990697861, 0.736225962638855],\n [0.473087012767792, 0.717857003211975],\n [0.473122000694275, 0.704625964164734],\n [0.473033010959625, 0.695277988910675],\n [0.427942007780075, 0.695277988910675],\n [0.426479011774063, 0.703539967536926],\n [0.423162013292313, 0.711845993995667],\n [0.4183090031147, 0.720062971115112],\n [0.390094995498657, 0.639572978019714],\n [0.013953999616206, 0.560034036636353],\n [0.499913990497589, 0.58014702796936],\n [0.413199990987778, 0.69539999961853],\n [0.409626007080078, 0.701822996139526],\n [0.468080013990402, 0.601534962654114],\n [0.422728985548019, 0.585985004901886],\n [0.463079988956451, 0.593783974647522],\n [0.37211999297142, 0.47341400384903],\n [0.334562003612518, 0.496073007583618],\n [0.411671012639999, 0.546965003013611],\n [0.242175996303558, 0.14767599105835],\n [0.290776997804642, 0.201445996761322],\n [0.327338010072708, 0.256527006626129],\n [0.399509996175766, 0.748921036720276],\n [0.441727995872498, 0.261676013469696],\n [0.429764986038208, 0.187834024429321],\n [0.412198007106781, 0.108901023864746],\n [0.288955003023148, 0.398952007293701],\n [0.218936994671822, 0.435410976409912],\n [0.41278201341629, 0.398970007896423],\n [0.257135003805161, 0.355440020561218],\n [0.427684992551804, 0.437960982322693],\n [0.448339998722076, 0.536936044692993],\n [0.178560003638268, 0.45755398273468],\n [0.247308000922203, 0.457193970680237],\n [0.286267012357712, 0.467674970626831],\n [0.332827985286713, 0.460712015628815],\n [0.368755996227264, 0.447206974029541],\n [0.398963987827301, 0.432654976844788],\n [0.476410001516342, 0.405806005001068],\n [0.189241006970406, 0.523923993110657],\n [0.228962004184723, 0.348950982093811],\n [0.490725994110107, 0.562400996685028],\n [0.404670000076294, 0.485132992267609],\n [0.019469000399113, 0.401564002037048],\n [0.426243007183075, 0.420431017875671],\n [0.396993011236191, 0.548797011375427],\n [0.266469985246658, 0.376977026462555],\n [0.439121007919312, 0.51895797252655],\n [0.032313998788595, 0.644356966018677],\n [0.419054001569748, 0.387154996395111],\n [0.462783008813858, 0.505746960639954],\n [0.238978996872902, 0.779744982719421],\n [0.198220998048782, 0.831938028335571],\n [0.107550002634525, 0.540755033493042],\n [0.183610007166862, 0.740257024765015],\n [0.134409993886948, 0.333683013916016],\n [0.385764002799988, 0.883153975009918],\n [0.490967005491257, 0.579378008842468],\n [0.382384985685349, 0.508572995662689],\n [0.174399003386497, 0.397670984268188],\n [0.318785011768341, 0.39623498916626],\n [0.343364000320435, 0.400596976280212],\n [0.396100014448166, 0.710216999053955],\n [0.187885001301765, 0.588537991046906],\n [0.430987000465393, 0.944064974784851],\n [0.318993002176285, 0.898285031318665],\n [0.266247987747192, 0.869701027870178],\n [0.500023007392883, 0.190576016902924],\n [0.499976992607117, 0.954452991485596],\n [0.366169989109039, 0.398822009563446],\n [0.393207013607025, 0.39553701877594],\n [0.410373002290726, 0.391080021858215],\n [0.194993004202843, 0.342101991176605],\n [0.388664990663528, 0.362284004688263],\n [0.365961998701096, 0.355970978736877],\n [0.343364000320435, 0.355356991291046],\n [0.318785011768341, 0.35834002494812],\n [0.301414996385574, 0.363156020641327],\n [0.058132998645306, 0.319076001644135],\n [0.301414996385574, 0.387449026107788],\n [0.499987989664078, 0.618434011936188],\n [0.415838003158569, 0.624195992946625],\n [0.445681989192963, 0.566076993942261],\n [0.465844005346298, 0.620640993118286],\n [0.49992299079895, 0.351523995399475],\n [0.288718998432159, 0.819945991039276],\n [0.335278987884521, 0.852819979190826],\n [0.440512001514435, 0.902418971061707],\n [0.128294005990028, 0.791940987110138],\n [0.408771991729736, 0.373893976211548],\n [0.455606997013092, 0.451801002025604],\n [0.499877005815506, 0.908990025520325],\n [0.375436991453171, 0.924192011356354],\n [0.11421000212431, 0.615022003650665],\n [0.448662012815475, 0.695277988910675],\n [0.4480200111866, 0.704632043838501],\n [0.447111994028091, 0.715808033943176],\n [0.444831997156143, 0.730794012546539],\n [0.430011987686157, 0.766808986663818],\n [0.406787008047104, 0.685672998428345],\n [0.400738000869751, 0.681069016456604],\n [0.392399996519089, 0.677703022956848],\n [0.367855995893478, 0.663918972015381],\n [0.247923001646996, 0.601333022117615],\n [0.452769994735718, 0.420849978923798],\n [0.43639200925827, 0.359887003898621],\n [0.416164010763168, 0.368713974952698],\n [0.413385987281799, 0.692366003990173],\n [0.228018000721931, 0.683571994304657],\n [0.468268007040024, 0.352671027183533],\n [0.411361992359161, 0.804327011108398],\n [0.499989002943039, 0.469825029373169],\n [0.479153990745544, 0.442654013633728],\n [0.499974012374878, 0.439637005329132],\n [0.432112008333206, 0.493588984012604],\n [0.499886006116867, 0.866917014122009],\n [0.49991300702095, 0.821729004383087],\n [0.456548988819122, 0.819200992584229],\n [0.344549000263214, 0.745438992977142],\n [0.37890899181366, 0.574010014533997],\n [0.374292999505997, 0.780184984207153],\n [0.319687992334366, 0.570737957954407],\n [0.357154995203018, 0.604269981384277],\n [0.295284003019333, 0.621580958366394],\n [0.447750002145767, 0.862477004528046],\n [0.410986006259918, 0.508723020553589],\n [0.31395098567009, 0.775308012962341],\n [0.354128003120422, 0.812552988529205],\n [0.324548006057739, 0.703992962837219],\n [0.189096003770828, 0.646299958229065],\n [0.279776990413666, 0.71465802192688],\n [0.1338230073452, 0.682700991630554],\n [0.336768001317978, 0.644733011722565],\n [0.429883986711502, 0.466521978378296],\n [0.455527991056442, 0.548622965812683],\n [0.437114000320435, 0.558896005153656],\n [0.467287987470627, 0.529924988746643],\n [0.414712011814117, 0.335219979286194],\n [0.37704598903656, 0.322777986526489],\n [0.344107985496521, 0.320150971412659],\n [0.312875986099243, 0.32233202457428],\n [0.283526003360748, 0.333190023899078],\n [0.241245999932289, 0.382785975933075],\n [0.102986000478268, 0.468762993812561],\n [0.267612010240555, 0.424560010433197],\n [0.297879010438919, 0.433175981044769],\n [0.333433985710144, 0.433878004550934],\n [0.366427004337311, 0.426115989685059],\n [0.396012008190155, 0.416696012020111],\n [0.420121014118195, 0.41022801399231],\n [0.007561000064015, 0.480777025222778],\n [0.432949006557465, 0.569517970085144],\n [0.458638995885849, 0.479089021682739],\n [0.473466008901596, 0.545744001865387],\n [0.476087987422943, 0.563830018043518],\n [0.468472003936768, 0.555056989192963],\n [0.433990985155106, 0.582361996173859],\n [0.483518004417419, 0.562983989715576],\n [0.482482999563217, 0.57784903049469],\n [0.42645001411438, 0.389798998832703],\n [0.438998997211456, 0.39649498462677],\n [0.450067013502121, 0.400434017181396],\n [0.289712011814117, 0.368252992630005],\n [0.276670008897781, 0.363372981548309],\n [0.517862021923065, 0.471948027610779],\n [0.710287988185883, 0.380764007568359],\n [0.526226997375488, 0.573909997940063],\n [0.895093023777008, 0.254140973091125],\n [0.634069979190826, 0.409575998783112],\n [0.661242008209229, 0.41302502155304],\n [0.688880026340485, 0.409460008144379],\n [0.725341975688934, 0.389131009578705],\n [0.606630027294159, 0.40370500087738],\n [0.654766023159027, 0.344011008739471],\n [0.629905998706818, 0.346076011657715],\n [0.680678009986877, 0.347265005111694],\n [0.702096998691559, 0.353591024875641],\n [0.75221198797226, 0.410804986953735],\n [0.602918028831482, 0.842862963676453],\n [0.719901978969574, 0.375599980354309],\n [0.893692970275879, 0.399959981441498],\n [0.790081977844238, 0.391354024410248],\n [0.643998026847839, 0.534487962722778],\n [0.528249025344849, 0.65040397644043],\n [0.525849997997284, 0.680191040039062],\n [0.560214996337891, 0.657229006290436],\n [0.585384011268616, 0.66654098033905],\n [0.549625992774963, 0.680860996246338],\n [0.57122802734375, 0.682691991329193],\n [0.624852001667023, 0.72809898853302],\n [0.513050019741058, 0.547281980514526],\n [0.51509702205658, 0.527251958847046],\n [0.742246985435486, 0.314507007598877],\n [0.598631024360657, 0.454979002475739],\n [0.570338010787964, 0.548575043678284],\n [0.578631997108459, 0.533622980117798],\n [0.723087012767792, 0.532054007053375],\n [0.516445994377136, 0.499638974666595],\n [0.662801027297974, 0.282917976379395],\n [0.70362401008606, 0.293271005153656],\n [0.830704987049103, 0.193813979625702],\n [0.552385985851288, 0.302568018436432],\n [0.607609987258911, 0.353887975215912],\n [0.645429015159607, 0.696707010269165],\n [0.932694971561432, 0.730105042457581],\n [0.557260990142822, 0.572826027870178],\n [0.542901992797852, 0.584792017936707],\n [0.6180260181427, 0.694710969924927],\n [0.607590973377228, 0.694203019142151],\n [0.722943007946014, 0.271963000297546],\n [0.577413976192474, 0.563166975975037],\n [0.614082992076874, 0.281386971473694],\n [0.616907000541687, 0.255886018276215],\n [0.668509006500244, 0.119913995265961],\n [0.770092010498047, 0.232020974159241],\n [0.635536015033722, 0.189248979091644],\n [0.77039098739624, 0.299556016921997],\n [0.826722025871277, 0.278755009174347],\n [0.527121007442474, 0.666198015213013],\n [0.553171992301941, 0.668527007102966],\n [0.577238023281097, 0.673889994621277],\n [0.554691970348358, 0.580065965652466],\n [0.611896991729736, 0.693961024284363],\n [0.59696102142334, 0.706539988517761],\n [0.596370995044708, 0.693953037261963],\n [0.539958000183105, 0.557139039039612],\n [0.568841993808746, 0.692366003990173],\n [0.547818005084991, 0.692366003990173],\n [0.52461302280426, 0.692366003990173],\n [0.534089982509613, 0.779141008853912],\n [0.527670979499817, 0.736225962638855],\n [0.526912987232208, 0.717857003211975],\n [0.526877999305725, 0.704625964164734],\n [0.526966989040375, 0.695277988910675],\n [0.572058022022247, 0.695277988910675],\n [0.573521018028259, 0.703539967536926],\n [0.57683801651001, 0.711845993995667],\n [0.581691026687622, 0.720062971115112],\n [0.609944999217987, 0.639909982681274],\n [0.986046016216278, 0.560034036636353],\n [0.5867999792099, 0.69539999961853],\n [0.590372025966644, 0.701822996139526],\n [0.531915009021759, 0.601536989212036],\n [0.577268004417419, 0.585934996604919],\n [0.536915004253387, 0.593786001205444],\n [0.627542972564697, 0.473352015018463],\n [0.665585994720459, 0.495950996875763],\n [0.588353991508484, 0.546862006187439],\n [0.757824003696442, 0.14767599105835],\n [0.709249973297119, 0.201507985591888],\n [0.672684013843536, 0.256581008434296],\n [0.600408971309662, 0.74900496006012],\n [0.55826598405838, 0.261672019958496],\n [0.570303976535797, 0.187870979309082],\n [0.588165998458862, 0.109044015407562],\n [0.711045026779175, 0.398952007293701],\n [0.781069993972778, 0.435405015945435],\n [0.587247014045715, 0.398931980133057],\n [0.742869973182678, 0.355445981025696],\n [0.572156012058258, 0.437651991844177],\n [0.55186802148819, 0.536570012569427],\n [0.821442008018494, 0.457556009292603],\n [0.752701997756958, 0.457181990146637],\n [0.71375697851181, 0.467626988887787],\n [0.66711300611496, 0.460672974586487],\n [0.631101012229919, 0.447153985500336],\n [0.6008620262146, 0.432473003864288],\n [0.523481011390686, 0.405627012252808],\n [0.810747981071472, 0.523926019668579],\n [0.771045982837677, 0.348959028720856],\n [0.509127020835876, 0.562718033790588],\n [0.595292985439301, 0.485023975372314],\n [0.980530977249146, 0.401564002037048],\n [0.573499977588654, 0.420000016689301],\n [0.602994978427887, 0.548687994480133],\n [0.733529984951019, 0.376977026462555],\n [0.560611009597778, 0.519016981124878],\n [0.967685997486115, 0.644356966018677],\n [0.580985009670258, 0.387160003185272],\n [0.537728011608124, 0.505385041236877],\n [0.760966002941132, 0.779752969741821],\n [0.801778972148895, 0.831938028335571],\n [0.892440974712372, 0.54076099395752],\n [0.816350996494293, 0.740260004997253],\n [0.865594983100891, 0.333687007427216],\n [0.614073991775513, 0.883246004581451],\n [0.508952975273132, 0.579437971115112],\n [0.617941975593567, 0.508316040039062],\n [0.825608015060425, 0.397674977779388],\n [0.681214988231659, 0.39623498916626],\n [0.656635999679565, 0.400596976280212],\n [0.603900015354156, 0.710216999053955],\n [0.81208598613739, 0.588539004325867],\n [0.56801301240921, 0.944564998149872],\n [0.681007981300354, 0.898285031318665],\n [0.733752012252808, 0.869701027870178],\n [0.633830010890961, 0.398822009563446],\n [0.606792986392975, 0.39553701877594],\n [0.589659988880157, 0.391062021255493],\n [0.805015981197357, 0.342108011245728],\n [0.611334979534149, 0.362284004688263],\n [0.634037971496582, 0.355970978736877],\n [0.656635999679565, 0.355356991291046],\n [0.681214988231659, 0.35834002494812],\n [0.698584973812103, 0.363156020641327],\n [0.941866993904114, 0.319076001644135],\n [0.698584973812103, 0.387449026107788],\n [0.584177017211914, 0.624107003211975],\n [0.554318010807037, 0.566076993942261],\n [0.534153997898102, 0.62064003944397],\n [0.711217999458313, 0.819975018501282],\n [0.664629995822906, 0.852871000766754],\n [0.559099972248077, 0.902631998062134],\n [0.871706008911133, 0.791940987110138],\n [0.591234028339386, 0.373893976211548],\n [0.544341027736664, 0.451583981513977],\n [0.624562978744507, 0.924192011356354],\n [0.88577002286911, 0.615028977394104],\n [0.551338016986847, 0.695277988910675],\n [0.551980018615723, 0.704632043838501],\n [0.552887976169586, 0.715808033943176],\n [0.555167973041534, 0.730794012546539],\n [0.569944024085999, 0.767035007476807],\n [0.593203008174896, 0.685675978660583],\n [0.599261999130249, 0.681069016456604],\n [0.607599973678589, 0.677703022956848],\n [0.631937980651855, 0.663500010967255],\n [0.752032995223999, 0.601315021514893],\n [0.547226011753082, 0.420395016670227],\n [0.563543975353241, 0.359827995300293],\n [0.583841025829315, 0.368713974952698],\n [0.586614012718201, 0.692366003990173],\n [0.771915018558502, 0.683578014373779],\n [0.531597018241882, 0.352482974529266],\n [0.588370978832245, 0.804440975189209],\n [0.52079701423645, 0.442565023899078],\n [0.567984998226166, 0.493479013442993],\n [0.543282985687256, 0.819254994392395],\n [0.655317008495331, 0.745514988899231],\n [0.621008992195129, 0.574018001556396],\n [0.625559985637665, 0.78031200170517],\n [0.680198013782501, 0.570719003677368],\n [0.64276397228241, 0.604337990283966],\n [0.704662978649139, 0.621529996395111],\n [0.552012026309967, 0.862591981887817],\n [0.589071989059448, 0.508637011051178],\n [0.685944974422455, 0.775357007980347],\n [0.645735025405884, 0.812640011310577],\n [0.675342977046967, 0.703978002071381],\n [0.810858011245728, 0.646304965019226],\n [0.72012197971344, 0.714666962623596],\n [0.866151988506317, 0.682704985141754],\n [0.663187026977539, 0.644596993923187],\n [0.570082008838654, 0.466325998306274],\n [0.544561982154846, 0.548375964164734],\n [0.562758982181549, 0.558784961700439],\n [0.531987011432648, 0.530140042304993],\n [0.585271000862122, 0.335177004337311],\n [0.622952997684479, 0.32277899980545],\n [0.655896008014679, 0.320163011550903],\n [0.687132000923157, 0.322345972061157],\n [0.716481983661652, 0.333200991153717],\n [0.758756995201111, 0.382786989212036],\n [0.897013008594513, 0.468769013881683],\n [0.732392013072968, 0.424547016620636],\n [0.70211398601532, 0.433162987232208],\n [0.66652500629425, 0.433866024017334],\n [0.633504986763, 0.426087975502014],\n [0.603875994682312, 0.416586995124817],\n [0.579657971858978, 0.409945011138916],\n [0.992439985275269, 0.480777025222778],\n [0.567192018032074, 0.569419980049133],\n [0.54136598110199, 0.478899002075195],\n [0.526564002037048, 0.546118021011353],\n [0.523913025856018, 0.563830018043518],\n [0.531529009342194, 0.555056989192963],\n [0.566035985946655, 0.582329034805298],\n [0.51631098985672, 0.563053965568542],\n [0.5174720287323, 0.577877044677734],\n [0.573594987392426, 0.389806985855103],\n [0.560697972774506, 0.395331978797913],\n [0.549755990505219, 0.399751007556915],\n [0.710287988185883, 0.368252992630005],\n [0.723330020904541, 0.363372981548309],\n];\n\nexport const TRI468 = [\n 127, 34, 139, 11, 0, 37, 232, 231, 120, 72, 37, 39, 128, 121, 47, 232, 121, 128, 104, 69, 67, 175, 171, 148, 157, 154, 155, 118, 50, 101, 73, 39, 40, 9,\n 151, 108, 48, 115, 131, 194, 204, 211, 74, 40, 185, 80, 42, 183, 40, 92, 186, 230, 229, 118, 202, 212, 214, 83, 18, 17, 76, 61, 146, 160, 29, 30, 56,\n 157, 173, 106, 204, 194, 135, 214, 192, 203, 165, 98, 21, 71, 68, 51, 45, 4, 144, 24, 23, 77, 146, 91, 205, 50, 187, 201, 200, 18, 91, 106, 182, 90, 91,\n 181, 85, 84, 17, 206, 203, 36, 148, 171, 140, 92, 40, 39, 193, 189, 244, 159, 158, 28, 247, 246, 161, 236, 3, 196, 54, 68, 104, 193, 168, 8, 117,\n 228, 31, 189, 193, 55, 98, 97, 99, 126, 47, 100, 166, 79, 218, 155, 154, 26, 209, 49, 131, 135, 136, 150, 47, 126, 217, 223, 52, 53, 45, 51, 134, 211,\n 170, 140, 67, 69, 108, 43, 106, 91, 230, 119, 120, 226, 130, 247, 63, 53, 52, 238, 20, 242, 46, 70, 156, 78, 62, 96, 46, 53, 63, 143, 34, 227, 173,\n 155, 133, 123, 117, 111, 44, 125, 19, 236, 134, 51, 216, 206, 205, 154, 153, 22, 39, 37, 167, 200, 201, 208, 36, 142, 100, 57, 212, 202, 20, 60, 99, 28,\n 158, 157, 35, 226, 113, 160, 159, 27, 204, 202, 210, 113, 225, 46, 43, 202, 204, 62, 76, 77, 137, 123, 116, 41, 38, 72, 203, 129, 142, 64, 98, 240, 49,\n 102, 64, 41, 73, 74, 212, 216, 207, 42, 74, 184, 169, 170, 211, 170, 149, 176, 105, 66, 69, 122, 6, 168, 123, 147, 187, 96, 77, 90, 65, 55, 107, 89,\n 90, 180, 101, 100, 120, 63, 105, 104, 93, 137, 227, 15, 86, 85, 129, 102, 49, 14, 87, 86, 55, 8, 9, 100, 47, 121, 145, 23, 22, 88, 89, 179, 6, 122,\n 196, 88, 95, 96, 138, 172, 136, 215, 58, 172, 115, 48, 219, 42, 80, 81, 195, 3, 51, 43, 146, 61, 171, 175, 199, 81, 82, 38, 53, 46, 225, 144, 163, 110,\n 246, 33, 7, 52, 65, 66, 229, 228, 117, 34, 127, 234, 107, 108, 69, 109, 108, 151, 48, 64, 235, 62, 78, 191, 129, 209, 126, 111, 35, 143, 163, 161, 246,\n 117, 123, 50, 222, 65, 52, 19, 125, 141, 221, 55, 65, 3, 195, 197, 25, 7, 33, 220, 237, 44, 70, 71, 139, 122, 193, 245, 247, 130, 33, 71, 21, 162,\n 153, 158, 159, 170, 169, 150, 188, 174, 196, 216, 186, 92, 144, 160, 161, 2, 97, 167, 141, 125, 241, 164, 167, 37, 72, 38, 12, 145, 159, 160, 38, 82, 13,\n 63, 68, 71, 226, 35, 111, 158, 153, 154, 101, 50, 205, 206, 92, 165, 209, 198, 217, 165, 167, 97, 220, 115, 218, 133, 112, 243, 239, 238, 241, 214,\n 135, 169, 190, 173, 133, 171, 208, 32, 125, 44, 237, 86, 87, 178, 85, 86, 179, 84, 85, 180, 83, 84, 181, 201, 83, 182, 137, 93, 132, 76, 62, 183, 61,\n 76, 184, 57, 61, 185, 212, 57, 186, 214, 207, 187, 34, 143, 156, 79, 239, 237, 123, 137, 177, 44, 1, 4, 201, 194, 32, 64, 102, 129, 213, 215, 138, 59,\n 166, 219, 242, 99, 97, 2, 94, 141, 75, 59, 235, 24, 110, 228, 25, 130, 226, 23, 24, 229, 22, 23, 230, 26, 22, 231, 112, 26, 232, 189, 190, 243, 221, 56,\n 190, 28, 56, 221, 27, 28, 222, 29, 27, 223, 30, 29, 224, 247, 30, 225, 238, 79, 20, 166, 59, 75, 60, 75, 240, 147, 177, 215, 20, 79, 166, 187, 147, 213,\n 112, 233, 244, 233, 128, 245, 128, 114, 188, 114, 217, 174, 131, 115, 220, 217, 198, 236, 198, 131, 134, 177, 132, 58, 143, 35, 124, 110, 163, 7, 228,\n 110, 25, 356, 389, 368, 11, 302, 267, 452, 350, 349, 302, 303, 269, 357, 343, 277, 452, 453, 357, 333, 332, 297, 175, 152, 377, 384, 398, 382, 347,\n 348, 330, 303, 304, 270, 9, 336, 337, 278, 279, 360, 418, 262, 431, 304, 408, 409, 310, 415, 407, 270, 409, 410, 450, 348, 347, 422, 430, 434, 313,\n 314, 17, 306, 307, 375, 387, 388, 260, 286, 414, 398, 335, 406, 418, 364, 367, 416, 423, 358, 327, 251, 284, 298, 281, 5, 4, 373, 374, 253, 307, 320,\n 321, 425, 427, 411, 421, 313, 18, 321, 405, 406, 320, 404, 405, 315, 16, 17, 426, 425, 266, 377, 400, 369, 322, 391, 269, 417, 465, 464, 386, 257, 258,\n 466, 260, 388, 456, 399, 419, 284, 332, 333, 417, 285, 8, 346, 340, 261, 413, 441, 285, 327, 460, 328, 355, 371, 329, 392, 439, 438, 382, 341, 256,\n 429, 420, 360, 364, 394, 379, 277, 343, 437, 443, 444, 283, 275, 440, 363, 431, 262, 369, 297, 338, 337, 273, 375, 321, 450, 451, 349, 446, 342, 467,\n 293, 334, 282, 458, 461, 462, 276, 353, 383, 308, 324, 325, 276, 300, 293, 372, 345, 447, 382, 398, 362, 352, 345, 340, 274, 1, 19, 456, 248, 281, 436,\n 427, 425, 381, 256, 252, 269, 391, 393, 200, 199, 428, 266, 330, 329, 287, 273, 422, 250, 462, 328, 258, 286, 384, 265, 353, 342, 387, 259, 257, 424,\n 431, 430, 342, 353, 276, 273, 335, 424, 292, 325, 307, 366, 447, 345, 271, 303, 302, 423, 266, 371, 294, 455, 460, 279, 278, 294, 271, 272, 304, 432,\n 434, 427, 272, 407, 408, 394, 430, 431, 395, 369, 400, 334, 333, 299, 351, 417, 168, 352, 280, 411, 325, 319, 320, 295, 296, 336, 319, 403, 404, 330,\n 348, 349, 293, 298, 333, 323, 454, 447, 15, 16, 315, 358, 429, 279, 14, 15, 316, 285, 336, 9, 329, 349, 350, 374, 380, 252, 318, 402, 403, 6, 197, 419,\n 318, 319, 325, 367, 364, 365, 435, 367, 397, 344, 438, 439, 272, 271, 311, 195, 5, 281, 273, 287, 291, 396, 428, 199, 311, 271, 268, 283, 444, 445,\n 373, 254, 339, 263, 466, 249, 282, 334, 296, 449, 347, 346, 264, 447, 454, 336, 296, 299, 338, 10, 151, 278, 439, 455, 292, 407, 415, 358, 371, 355,\n 340, 345, 372, 390, 249, 466, 346, 347, 280, 442, 443, 282, 19, 94, 370, 441, 442, 295, 248, 419, 197, 263, 255, 359, 440, 275, 274, 300, 383, 368,\n 351, 412, 465, 263, 467, 466, 301, 368, 389, 380, 374, 386, 395, 378, 379, 412, 351, 419, 436, 426, 322, 373, 390, 388, 2, 164, 393, 370, 462, 461,\n 164, 0, 267, 302, 11, 12, 374, 373, 387, 268, 12, 13, 293, 300, 301, 446, 261, 340, 385, 384, 381, 330, 266, 425, 426, 423, 391, 429, 355, 437, 391,\n 327, 326, 440, 457, 438, 341, 382, 362, 459, 457, 461, 434, 430, 394, 414, 463, 362, 396, 369, 262, 354, 461, 457, 316, 403, 402, 315, 404, 403, 314,\n 405, 404, 313, 406, 405, 421, 418, 406, 366, 401, 361, 306, 408, 407, 291, 409, 408, 287, 410, 409, 432, 436, 410, 434, 416, 411, 264, 368, 383, 309,\n 438, 457, 352, 376, 401, 274, 275, 4, 421, 428, 262, 294, 327, 358, 433, 416, 367, 289, 455, 439, 462, 370, 326, 2, 326, 370, 305, 460, 455, 254,\n 449, 448, 255, 261, 446, 253, 450, 449, 252, 451, 450, 256, 452, 451, 341, 453, 452, 413, 464, 463, 441, 413, 414, 258, 442, 441, 257, 443, 442, 259,\n 444, 443, 260, 445, 444, 467, 342, 445, 459, 458, 250, 289, 392, 290, 290, 328, 460, 376, 433, 435, 250, 290, 392, 411, 416, 433, 341, 463, 464, 453,\n 464, 465, 357, 465, 412, 343, 412, 399, 360, 363, 440, 437, 399, 456, 420, 456, 363, 401, 435, 288, 372, 383, 353, 339, 255, 249, 448, 261, 255, 133,\n 243, 190, 133, 155, 112, 33, 246, 247, 33, 130, 25, 398, 384, 286, 362, 398, 414, 362, 463, 341, 263, 359, 467, 263, 249, 255, 466, 467, 260, 75, 60,\n 166, 238, 239, 79, 162, 127, 139, 72, 11, 37, 121, 232, 120, 73, 72, 39, 114, 128, 47, 233, 232, 128, 103, 104, 67, 152, 175, 148, 173, 157, 155,\n 119, 118, 101, 74, 73, 40, 107, 9, 108, 49, 48, 131, 32, 194, 211, 184, 74, 185, 191, 80, 183, 185, 40, 186, 119, 230, 118, 210, 202, 214, 84, 83, 17,\n 77, 76, 146, 161, 160, 30, 190, 56, 173, 182, 106, 194, 138, 135, 192, 129, 203, 98, 54, 21, 68, 5, 51, 4, 145, 144, 23, 90, 77, 91, 207, 205, 187, 83,\n 201, 18, 181, 91, 182, 180, 90, 181, 16, 85, 17, 205, 206, 36, 176, 148, 140, 165, 92, 39, 245, 193, 244, 27, 159, 28, 30, 247, 161, 174, 236, 196,\n 103, 54, 104, 55, 193, 8, 111, 117, 31, 221, 189, 55, 240, 98, 99, 142, 126, 100, 219, 166, 218, 112, 155, 26, 198, 209, 131, 169, 135, 150, 114, 47,\n 217, 224, 223, 53, 220, 45, 134, 32, 211, 140, 109, 67, 108, 146, 43, 91, 231, 230, 120, 113, 226, 247, 105, 63, 52, 241, 238, 242, 124, 46, 156, 95,\n 78, 96, 70, 46, 63, 116, 143, 227, 116, 123, 111, 1, 44, 19, 3, 236, 51, 207, 216, 205, 26, 154, 22, 165, 39, 167, 199, 200, 208, 101, 36, 100, 43,\n 57, 202, 242, 20, 99, 56, 28, 157, 124, 35, 113, 29, 160, 27, 211, 204, 210, 124, 113, 46, 106, 43, 204, 96, 62, 77, 227, 137, 116, 73, 41, 72, 36, 203,\n 142, 235, 64, 240, 48, 49, 64, 42, 41, 74, 214, 212, 207, 183, 42, 184, 210, 169, 211, 140, 170, 176, 104, 105, 69, 193, 122, 168, 50, 123, 187, 89, 96,\n 90, 66, 65, 107, 179, 89, 180, 119, 101, 120, 68, 63, 104, 234, 93, 227, 16, 15, 85, 209, 129, 49, 15, 14, 86, 107, 55, 9, 120, 100, 121, 153, 145, 22,\n 178, 88, 179, 197, 6, 196, 89, 88, 96, 135, 138, 136, 138, 215, 172, 218, 115, 219, 41, 42, 81, 5, 195, 51, 57, 43, 61, 208, 171, 199, 41, 81, 38,\n 224, 53, 225, 24, 144, 110, 105, 52, 66, 118, 229, 117, 227, 34, 234, 66, 107, 69, 10, 109, 151, 219, 48, 235, 183, 62, 191, 142, 129, 126, 116, 111,\n 143, 7, 163, 246, 118, 117, 50, 223, 222, 52, 94, 19, 141, 222, 221, 65, 196, 3, 197, 45, 220, 44, 156, 70, 139, 188, 122, 245, 139, 71, 162, 145,\n 153, 159, 149, 170, 150, 122, 188, 196, 206, 216, 92, 163, 144, 161, 164, 2, 167, 242, 141, 241, 0, 164, 37, 11, 72, 12, 144, 145, 160, 12, 38, 13, 70,\n 63, 71, 31, 226, 111, 157, 158, 154, 36, 101, 205, 203, 206, 165, 126, 209, 217, 98, 165, 97, 237, 220, 218, 237, 239, 241, 210, 214, 169, 140, 171, 32,\n 241, 125, 237, 179, 86, 178, 180, 85, 179, 181, 84, 180, 182, 83, 181, 194, 201, 182, 177, 137, 132, 184, 76, 183, 185, 61, 184, 186, 57, 185, 216, 212,\n 186, 192, 214, 187, 139, 34, 156, 218, 79, 237, 147, 123, 177, 45, 44, 4, 208, 201, 32, 98, 64, 129, 192, 213, 138, 235, 59, 219, 141, 242, 97, 97, 2,\n 141, 240, 75, 235, 229, 24, 228, 31, 25, 226, 230, 23, 229, 231, 22, 230, 232, 26, 231, 233, 112, 232, 244, 189, 243, 189, 221, 190, 222, 28, 221,\n 223, 27, 222, 224, 29, 223, 225, 30, 224, 113, 247, 225, 99, 60, 240, 213, 147, 215, 60, 20, 166, 192, 187, 213, 243, 112, 244, 244, 233, 245, 245,\n 128, 188, 188, 114, 174, 134, 131, 220, 174, 217, 236, 236, 198, 134, 215, 177, 58, 156, 143, 124, 25, 110, 7, 31, 228, 25, 264, 356, 368, 0, 11, 267,\n 451, 452, 349, 267, 302, 269, 350, 357, 277, 350, 452, 357, 299, 333, 297, 396, 175, 377, 381, 384, 382, 280, 347, 330, 269, 303, 270, 151, 9, 337,\n 344, 278, 360, 424, 418, 431, 270, 304, 409, 272, 310, 407, 322, 270, 410, 449, 450, 347, 432, 422, 434, 18, 313, 17, 291, 306, 375, 259, 387, 260,\n 424, 335, 418, 434, 364, 416, 391, 423, 327, 301, 251, 298, 275, 281, 4, 254, 373, 253, 375, 307, 321, 280, 425, 411, 200, 421, 18, 335, 321, 406,\n 321, 320, 405, 314, 315, 17, 423, 426, 266, 396, 377, 369, 270, 322, 269, 413, 417, 464, 385, 386, 258, 248, 456, 419, 298, 284, 333, 168, 417, 8,\n 448, 346, 261, 417, 413, 285, 326, 327, 328, 277, 355, 329, 309, 392, 438, 381, 382, 256, 279, 429, 360, 365, 364, 379, 355, 277, 437, 282, 443, 283,\n 281, 275, 363, 395, 431, 369, 299, 297, 337, 335, 273, 321, 348, 450, 349, 359, 446, 467, 283, 293, 282, 250, 458, 462, 300, 276, 383, 292, 308, 325,\n 283, 276, 293, 264, 372, 447, 346, 352, 340, 354, 274, 19, 363, 456, 281, 426, 436, 425, 380, 381, 252, 267, 269, 393, 421, 200, 428, 371, 266, 329,\n 432, 287, 422, 290, 250, 328, 385, 258, 384, 446, 265, 342, 386, 387, 257, 422, 424, 430, 445, 342, 276, 422, 273, 424, 306, 292, 307, 352, 366, 345,\n 268, 271, 302, 358, 423, 371, 327, 294, 460, 331, 279, 294, 303, 271, 304, 436, 432, 427, 304, 272, 408, 395, 394, 431, 378, 395, 400, 296, 334, 299,\n 6, 351, 168, 376, 352, 411, 307, 325, 320, 285, 295, 336, 320, 319, 404, 329, 330, 349, 334, 293, 333, 366, 323, 447, 316, 15, 315, 331, 358, 279,\n 317, 14, 316, 8, 285, 9, 277, 329, 350, 253, 374, 252, 319, 318, 403, 351, 6, 419, 324, 318, 325, 397, 367, 365, 288, 435, 397, 278, 344, 439, 310,\n 272, 311, 248, 195, 281, 375, 273, 291, 175, 396, 199, 312, 311, 268, 276, 283, 445, 390, 373, 339, 295, 282, 296, 448, 449, 346, 356, 264, 454, 337,\n 336, 299, 337, 338, 151, 294, 278, 455, 308, 292, 415, 429, 358, 355, 265, 340, 372, 388, 390, 466, 352, 346, 280, 295, 442, 282, 354, 19, 370, 285,\n 441, 295, 195, 248, 197, 457, 440, 274, 301, 300, 368, 417, 351, 465, 251, 301, 389, 385, 380, 386, 394, 395, 379, 399, 412, 419, 410, 436, 322, 387,\n 373, 388, 326, 2, 393, 354, 370, 461, 393, 164, 267, 268, 302, 12, 386, 374, 387, 312, 268, 13, 298, 293, 301, 265, 446, 340, 380, 385, 381, 280, 330,\n 425, 322, 426, 391, 420, 429, 437, 393, 391, 326, 344, 440, 438, 458, 459, 461, 364, 434, 394, 428, 396, 262, 274, 354, 457, 317, 316, 402, 316, 315,\n 403, 315, 314, 404, 314, 313, 405, 313, 421, 406, 323, 366, 361, 292, 306, 407, 306, 291, 408, 291, 287, 409, 287, 432, 410, 427, 434, 411, 372, 264,\n 383, 459, 309, 457, 366, 352, 401, 1, 274, 4, 418, 421, 262, 331, 294, 358, 435, 433, 367, 392, 289, 439, 328, 462, 326, 94, 2, 370, 289, 305, 455, 339,\n 254, 448, 359, 255, 446, 254, 253, 449, 253, 252, 450, 252, 256, 451, 256, 341, 452, 414, 413, 463, 286, 441, 414, 286, 258, 441, 258, 257, 442, 257,\n 259, 443, 259, 260, 444, 260, 467, 445, 309, 459, 250, 305, 289, 290, 305, 290, 460, 401, 376, 435, 309, 250, 392, 376, 411, 433, 453, 341, 464, 357,\n 453, 465, 343, 357, 412, 437, 343, 399, 344, 360, 440, 420, 437, 456, 360, 420, 363, 361, 401, 288, 265, 372, 353, 390, 339, 249, 339, 448, 255];\n\nexport const TRI68 = [0, 1, 36, 0, 36, 17, 1, 2, 41, 1, 41, 36, 2, 3, 31, 2, 31, 41, 3, 4, 48, 3, 48, 31, 4, 5, 48, 5, 6, 48, 6, 7, 59, 6, 59, 48, 7, 8, 58, 7, 58, 59,\n 8, 9, 56, 8, 56, 57, 8, 57, 58, 9, 10, 55, 9, 55, 56, 10, 11, 54, 10, 54, 55, 11, 12, 54, 12, 13, 54, 13, 14, 35, 13, 35, 54, 14, 15, 46, 14, 46, 35, 15, 16,\n 45, 15, 45, 46, 16, 26, 45, 17, 36, 18, 18, 37, 19, 18, 36, 37, 19, 38, 20, 19, 37, 38, 20, 39, 21, 20, 38, 39, 21, 39, 27, 22, 42, 23, 22, 27, 42, 23, 43, 24,\n 23, 42, 43, 24, 44, 25, 24, 43, 44, 25, 45, 26, 25, 44, 45, 27, 39, 28, 27, 28, 42, 28, 39, 29, 28, 29, 42, 29, 31, 30, 29, 30, 35, 29, 40, 31, 29, 35, 47, 29,\n 39, 40, 29, 47, 42, 30, 31, 32, 30, 32, 33, 30, 33, 34, 30, 34, 35, 31, 50, 32, 31, 40, 41, 31, 48, 49, 31, 49, 50, 32, 51, 33, 32, 50, 51, 33, 51, 34, 34, 52,\n 35, 34, 51, 52, 35, 46, 47, 35, 52, 53, 35, 53, 54, 36, 41, 37, 37, 40, 38, 37, 41, 40, 38, 40, 39, 42, 47, 43, 43, 47, 44, 44, 46, 45, 44, 47, 46, 48, 60, 49,\n 48, 59, 60, 49, 61, 50, 49, 60, 61, 50, 62, 51, 50, 61, 62, 51, 62, 52, 52, 63, 53, 52, 62, 63, 53, 64, 54, 53, 63, 64, 54, 64, 55, 55, 65, 56, 55, 64, 65, 56,\n 66, 57, 56, 65, 66, 57, 66, 58, 58, 67, 59, 58, 66, 67, 59, 67, 60, 60, 67, 61, 61, 66, 62, 61, 67, 66, 62, 66, 63, 63, 65, 64, 63, 66, 65, 21, 27, 22];\n\nexport const TRI33 = [\n /* eyes */ 0, 8, 7, 7, 8, 1, 2, 10, 9, 9, 10, 3,\n /* brows */ 17, 0, 18, 18, 0, 7, 18, 7, 19, 19, 7, 1, 19, 1, 11, 19, 11, 20, 21, 3, 22, 21, 9, 3, 20, 9, 21, 20, 2, 9, 20, 11, 2,\n /* 4head */ 23, 17, 18, 25, 21, 22, 24, 19, 20, 24, 18, 19, 24, 20, 21, 24, 23, 18, 24, 21, 25,\n /* nose */ 11, 12, 4, 11, 4, 13, 1, 12, 11, 11, 13, 2, 12, 14, 4, 4, 14, 13,\n /* up-lip */ 14, 5, 15, 14, 15, 6, 12, 5, 14, 14, 6, 13,\n /* cheeks */ 8, 12, 1, 2, 13, 10, 8, 26, 12, 10, 13, 27, 26, 5, 12, 13, 6, 27, 0, 26, 8, 10, 27, 3,\n /* chin */ 5, 32, 16, 16, 32, 6, 5, 30, 32, 6, 32, 31,\n /* cont */ 26, 30, 5, 27, 6, 31, 0, 28, 26, 3, 27, 29, 17, 28, 0, 3, 29, 22, 23, 28, 17, 22, 29, 25, 28, 30, 26, 27, 31, 29,\n];\n\nexport const TRI7 = [0, 4, 1, 2, 4, 3, 4, 5, 6];\n\nexport const VTX68 = [\n /* cont */ 127, 234, 132, 58, 172, 150, 149, 148, 152, 377, 378, 379, 397, 288, 361, 454, 356,\n /* brows */ 70, 63, 105, 66, 107, 336, 296, 334, 293, 300,\n /* nose */ 168, 6, 195, 4, 98, 97, 2, 326, 327,\n /* eyes */ 33, 160, 158, 133, 153, 144, 362, 385, 387, 263, 373, 380,\n /* lip */ 57, 40, 37, 0, 267, 270, 287, 321, 314, 17, 84, 91,\n /* mouth */ 78, 81, 13, 311, 308, 402, 14, 178,\n];\n\nexport const VTX33 = [33, 133, 362, 263, 1, 62, 308, 159, 145, 386, 374, 6, 102, 331, 2, 13, 14, 70, 105, 107, 336, 334, 300, 54, 10, 284, 50, 280, 234, 454, 58, 288, 152];\n\nexport const VTX7 = [33, 133, 362, 263, 1, 78, 308];\n\nexport const UV68 = VTX68.map((x) => UV468[x]);\n\nexport const UV33 = VTX33.map((x) => UV468[x]);\n\nexport const UV7 = VTX7.map((x) => UV468[x]);\n", "/* eslint-disable class-methods-use-this */\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as bounding from './box';\nimport * as util from './util';\nimport * as coords from './coords';\n\nconst LANDMARKS_COUNT = 468;\nconst MESH_MOUTH_INDEX = 13;\nconst MESH_KEYPOINTS_LINE_OF_SYMMETRY_INDICES = [MESH_MOUTH_INDEX, coords.MESH_ANNOTATIONS['midwayBetweenEyes'][0]];\nconst BLAZEFACE_MOUTH_INDEX = 3;\nconst BLAZEFACE_NOSE_INDEX = 2;\nconst BLAZEFACE_KEYPOINTS_LINE_OF_SYMMETRY_INDICES = [BLAZEFACE_MOUTH_INDEX, BLAZEFACE_NOSE_INDEX];\nconst LEFT_EYE_OUTLINE = coords.MESH_ANNOTATIONS['leftEyeLower0'];\nconst LEFT_EYE_BOUNDS = [LEFT_EYE_OUTLINE[0], LEFT_EYE_OUTLINE[LEFT_EYE_OUTLINE.length - 1]];\nconst RIGHT_EYE_OUTLINE = coords.MESH_ANNOTATIONS['rightEyeLower0'];\nconst RIGHT_EYE_BOUNDS = [RIGHT_EYE_OUTLINE[0], RIGHT_EYE_OUTLINE[RIGHT_EYE_OUTLINE.length - 1]];\nconst IRIS_UPPER_CENTER_INDEX = 3;\nconst IRIS_LOWER_CENTER_INDEX = 4;\nconst IRIS_IRIS_INDEX = 71;\nconst IRIS_NUM_COORDINATES = 76;\n\n// Replace the raw coordinates returned by facemesh with refined iris model coordinates. Update the z coordinate to be an average of the original and the new. This produces the best visual effect.\nfunction replaceRawCoordinates(rawCoords, newCoords, prefix, keys = null) {\n for (let i = 0; i < coords.MESH_TO_IRIS_INDICES_MAP.length; i++) {\n const { key, indices } = coords.MESH_TO_IRIS_INDICES_MAP[i];\n const originalIndices = coords.MESH_ANNOTATIONS[`${prefix}${key}`];\n // @ts-ignore\n if (!keys || keys.includes(key)) {\n for (let j = 0; j < indices.length; j++) {\n const index = indices[j];\n rawCoords[originalIndices[j]] = [\n newCoords[index][0], newCoords[index][1],\n (newCoords[index][2] + rawCoords[originalIndices[j]][2]) / 2,\n ];\n }\n }\n }\n}\n// The Pipeline coordinates between the bounding box and skeleton models.\nexport class Pipeline {\n storedBoxes: any;\n runsWithoutFaceDetector: number;\n boundingBoxDetector: any;\n meshDetector: any;\n irisModel: any;\n meshWidth: number;\n meshHeight: number;\n irisSize: number;\n irisEnlarge: number;\n skipped: number;\n detectedFaces: number;\n\n constructor(boundingBoxDetector, meshDetector, irisModel, config) {\n // An array of facial bounding boxes.\n this.storedBoxes = [];\n this.runsWithoutFaceDetector = 0;\n this.boundingBoxDetector = boundingBoxDetector;\n this.meshDetector = meshDetector;\n this.irisModel = irisModel;\n this.meshWidth = config.face.mesh.inputSize;\n this.meshHeight = config.face.mesh.inputSize;\n this.irisSize = config.face.iris.inputSize;\n this.irisEnlarge = 2.3;\n this.skipped = 0;\n this.detectedFaces = 0;\n }\n\n transformRawCoords(rawCoords, box, angle, rotationMatrix) {\n const boxSize = bounding.getBoxSize({ startPoint: box.startPoint, endPoint: box.endPoint });\n const scaleFactor = [boxSize[0] / this.meshWidth, boxSize[1] / this.meshHeight];\n const coordsScaled = rawCoords.map((coord) => ([\n scaleFactor[0] * (coord[0] - this.meshWidth / 2),\n scaleFactor[1] * (coord[1] - this.meshHeight / 2), coord[2],\n ]));\n const coordsRotationMatrix = (angle !== 0) ? util.buildRotationMatrix(angle, [0, 0]) : util.IDENTITY_MATRIX;\n const coordsRotated = (angle !== 0) ? coordsScaled.map((coord) => ([...util.rotatePoint(coord, coordsRotationMatrix), coord[2]])) : coordsScaled;\n const inverseRotationMatrix = (angle !== 0) ? util.invertTransformMatrix(rotationMatrix) : util.IDENTITY_MATRIX;\n const boxCenter = [...bounding.getBoxCenter({ startPoint: box.startPoint, endPoint: box.endPoint }), 1];\n return coordsRotated.map((coord) => ([\n coord[0] + util.dot(boxCenter, inverseRotationMatrix[0]),\n coord[1] + util.dot(boxCenter, inverseRotationMatrix[1]),\n coord[2],\n ]));\n }\n\n getLeftToRightEyeDepthDifference(rawCoords) {\n const leftEyeZ = rawCoords[LEFT_EYE_BOUNDS[0]][2];\n const rightEyeZ = rawCoords[RIGHT_EYE_BOUNDS[0]][2];\n return leftEyeZ - rightEyeZ;\n }\n\n // Returns a box describing a cropped region around the eye fit for passing to the iris model.\n getEyeBox(rawCoords, face, eyeInnerCornerIndex, eyeOuterCornerIndex, flip = false) {\n const box = bounding.squarifyBox(bounding.enlargeBox(this.calculateLandmarksBoundingBox([rawCoords[eyeInnerCornerIndex], rawCoords[eyeOuterCornerIndex]]), this.irisEnlarge));\n const boxSize = bounding.getBoxSize(box);\n let crop = tf.image.cropAndResize(face, [[\n box.startPoint[1] / this.meshHeight,\n box.startPoint[0] / this.meshWidth, box.endPoint[1] / this.meshHeight,\n box.endPoint[0] / this.meshWidth,\n ]], [0], [this.irisSize, this.irisSize]);\n if (flip) {\n crop = tf.image.flipLeftRight(crop);\n }\n return { box, boxSize, crop };\n }\n\n // Given a cropped image of an eye, returns the coordinates of the contours surrounding the eye and the iris.\n getEyeCoords(eyeData, eyeBox, eyeBoxSize, flip = false) {\n const eyeRawCoords: Array = [];\n for (let i = 0; i < IRIS_NUM_COORDINATES; i++) {\n const x = eyeData[i * 3];\n const y = eyeData[i * 3 + 1];\n const z = eyeData[i * 3 + 2];\n eyeRawCoords.push([\n (flip ? (1 - (x / this.irisSize)) : (x / this.irisSize)) * eyeBoxSize[0] + eyeBox.startPoint[0],\n (y / this.irisSize) * eyeBoxSize[1] + eyeBox.startPoint[1], z,\n ]);\n }\n return { rawCoords: eyeRawCoords, iris: eyeRawCoords.slice(IRIS_IRIS_INDEX) };\n }\n\n // The z-coordinates returned for the iris are unreliable, so we take the z values from the surrounding keypoints.\n getAdjustedIrisCoords(rawCoords, irisCoords, direction) {\n const upperCenterZ = rawCoords[coords.MESH_ANNOTATIONS[`${direction}EyeUpper0`][IRIS_UPPER_CENTER_INDEX]][2];\n const lowerCenterZ = rawCoords[coords.MESH_ANNOTATIONS[`${direction}EyeLower0`][IRIS_LOWER_CENTER_INDEX]][2];\n const averageZ = (upperCenterZ + lowerCenterZ) / 2;\n // Iris indices: 0: center | 1: right | 2: above | 3: left | 4: below\n return irisCoords.map((coord, i) => {\n let z = averageZ;\n if (i === 2) {\n z = upperCenterZ;\n } else if (i === 4) {\n z = lowerCenterZ;\n }\n return [coord[0], coord[1], z];\n });\n }\n\n async predict(input, config) {\n let useFreshBox = false;\n // run new detector every skipFrames unless we only want box to start with\n let detector;\n if ((this.skipped === 0) || (this.skipped > config.face.detector.skipFrames) || !config.face.mesh.enabled || !config.videoOptimized) {\n detector = await this.boundingBoxDetector.getBoundingBoxes(input);\n this.skipped = 0;\n }\n if (config.videoOptimized) this.skipped++;\n\n // if detector result count doesn't match current working set, use it to reset current working set\n if (detector && detector.boxes && (!config.face.mesh.enabled || (detector.boxes.length !== this.detectedFaces) && (this.detectedFaces !== config.face.detector.maxFaces))) {\n this.storedBoxes = [];\n this.detectedFaces = 0;\n for (const possible of detector.boxes) {\n this.storedBoxes.push({ startPoint: possible.box.startPoint.dataSync(), endPoint: possible.box.endPoint.dataSync(), landmarks: possible.landmarks, confidence: possible.confidence });\n }\n if (this.storedBoxes.length > 0) useFreshBox = true;\n }\n\n if (useFreshBox) {\n if (!detector || !detector.boxes || (detector.boxes.length === 0)) {\n this.storedBoxes = [];\n this.detectedFaces = 0;\n return null;\n }\n for (let i = 0; i < this.storedBoxes.length; i++) {\n const scaledBox = bounding.scaleBoxCoordinates({ startPoint: this.storedBoxes[i].startPoint, endPoint: this.storedBoxes[i].endPoint }, detector.scaleFactor);\n const enlargedBox = bounding.enlargeBox(scaledBox);\n const squarifiedBox = bounding.squarifyBox(enlargedBox);\n const landmarks = this.storedBoxes[i].landmarks.arraySync();\n const confidence = this.storedBoxes[i].confidence;\n this.storedBoxes[i] = { ...squarifiedBox, confidence, landmarks };\n }\n this.runsWithoutFaceDetector = 0;\n }\n if (detector && detector.boxes) {\n detector.boxes.forEach((prediction) => {\n prediction.box.startPoint.dispose();\n prediction.box.endPoint.dispose();\n prediction.landmarks.dispose();\n });\n }\n\n // log('face', `skipped: ${this.skipped} max: ${config.face.detector.maxFaces} detected: ${this.detectedFaces} stored: ${this.storedBoxes.length} new: ${detector?.boxes?.length}`);\n let results = tf.tidy(() => this.storedBoxes.map((box, i) => {\n // The facial bounding box landmarks could come either from blazeface (if we are using a fresh box), or from the mesh model (if we are reusing an old box).\n let face;\n let angle = 0;\n let rotationMatrix;\n if (config.face.detector.rotation) {\n const [indexOfMouth, indexOfForehead] = (box.landmarks.length >= LANDMARKS_COUNT) ? MESH_KEYPOINTS_LINE_OF_SYMMETRY_INDICES : BLAZEFACE_KEYPOINTS_LINE_OF_SYMMETRY_INDICES;\n angle = util.computeRotation(box.landmarks[indexOfMouth], box.landmarks[indexOfForehead]);\n const faceCenter = bounding.getBoxCenter({ startPoint: box.startPoint, endPoint: box.endPoint });\n const faceCenterNormalized = [faceCenter[0] / input.shape[2], faceCenter[1] / input.shape[1]];\n const rotatedImage = tf.image.rotateWithOffset(input, angle, 0, faceCenterNormalized);\n rotationMatrix = util.buildRotationMatrix(-angle, faceCenter);\n face = bounding.cutBoxFromImageAndResize({ startPoint: box.startPoint, endPoint: box.endPoint }, rotatedImage, [this.meshHeight, this.meshWidth]).div(255);\n } else {\n rotationMatrix = util.IDENTITY_MATRIX;\n const cloned = input.clone();\n face = bounding.cutBoxFromImageAndResize({ startPoint: box.startPoint, endPoint: box.endPoint }, cloned, [this.meshHeight, this.meshWidth]).div(255);\n }\n\n // if we're not going to produce mesh, don't spend time with further processing\n if (!config.face.mesh.enabled) {\n const prediction = {\n coords: null,\n box,\n faceConfidence: null,\n confidence: box.confidence,\n image: face,\n };\n return prediction;\n }\n\n const [, confidence, contourCoords] = this.meshDetector.predict(face); // The first returned tensor represents facial contours, which are included in the coordinates.\n const faceConfidence = confidence.dataSync()[0];\n if (faceConfidence < config.face.detector.minConfidence) return null; // if below confidence just exit\n const coordsReshaped = tf.reshape(contourCoords, [-1, 3]);\n let rawCoords = coordsReshaped.arraySync();\n\n if (config.face.iris.enabled) {\n const { box: leftEyeBox, boxSize: leftEyeBoxSize, crop: leftEyeCrop } = this.getEyeBox(rawCoords, face, LEFT_EYE_BOUNDS[0], LEFT_EYE_BOUNDS[1], true);\n const { box: rightEyeBox, boxSize: rightEyeBoxSize, crop: rightEyeCrop } = this.getEyeBox(rawCoords, face, RIGHT_EYE_BOUNDS[0], RIGHT_EYE_BOUNDS[1]);\n const eyePredictions = this.irisModel.predict(tf.concat([leftEyeCrop, rightEyeCrop]));\n const eyePredictionsData = eyePredictions.dataSync();\n const leftEyeData = eyePredictionsData.slice(0, IRIS_NUM_COORDINATES * 3);\n const { rawCoords: leftEyeRawCoords, iris: leftIrisRawCoords } = this.getEyeCoords(leftEyeData, leftEyeBox, leftEyeBoxSize, true);\n const rightEyeData = eyePredictionsData.slice(IRIS_NUM_COORDINATES * 3);\n const { rawCoords: rightEyeRawCoords, iris: rightIrisRawCoords } = this.getEyeCoords(rightEyeData, rightEyeBox, rightEyeBoxSize);\n const leftToRightEyeDepthDifference = this.getLeftToRightEyeDepthDifference(rawCoords);\n if (Math.abs(leftToRightEyeDepthDifference) < 30) { // User is looking straight ahead.\n replaceRawCoordinates(rawCoords, leftEyeRawCoords, 'left');\n replaceRawCoordinates(rawCoords, rightEyeRawCoords, 'right');\n // If the user is looking to the left or to the right, the iris coordinates tend to diverge too much from the mesh coordinates for them to be merged. So we only update a single contour line above and below the eye.\n } else if (leftToRightEyeDepthDifference < 1) { // User is looking towards the right.\n // @ts-ignore\n replaceRawCoordinates(rawCoords, leftEyeRawCoords, 'left', ['EyeUpper0', 'EyeLower0']);\n } else { // User is looking towards the left.\n // @ts-ignore\n replaceRawCoordinates(rawCoords, rightEyeRawCoords, 'right', ['EyeUpper0', 'EyeLower0']);\n }\n const adjustedLeftIrisCoords = this.getAdjustedIrisCoords(rawCoords, leftIrisRawCoords, 'left');\n const adjustedRightIrisCoords = this.getAdjustedIrisCoords(rawCoords, rightIrisRawCoords, 'right');\n rawCoords = rawCoords.concat(adjustedLeftIrisCoords).concat(adjustedRightIrisCoords);\n }\n\n const transformedCoordsData = this.transformRawCoords(rawCoords, box, angle, rotationMatrix);\n const landmarksBox = bounding.enlargeBox(this.calculateLandmarksBoundingBox(transformedCoordsData));\n const squarifiedLandmarksBox = bounding.squarifyBox(landmarksBox);\n const transformedCoords = tf.tensor2d(transformedCoordsData);\n const prediction = {\n coords: transformedCoords,\n box: landmarksBox,\n faceConfidence,\n confidence: box.confidence,\n image: face,\n rawCoords,\n };\n if (!config.face.mesh.returnRawData) delete prediction.rawCoords;\n this.storedBoxes[i] = { ...squarifiedLandmarksBox, landmarks: transformedCoords.arraySync(), confidence: box.confidence, faceConfidence };\n\n return prediction;\n }));\n results = results.filter((a) => a !== null);\n this.detectedFaces = results.length;\n return results;\n }\n\n calculateLandmarksBoundingBox(landmarks) {\n const xs = landmarks.map((d) => d[0]);\n const ys = landmarks.map((d) => d[1]);\n const startPoint = [Math.min(...xs), Math.min(...ys)];\n const endPoint = [Math.max(...xs), Math.max(...ys)];\n return { startPoint, endPoint, landmarks };\n }\n}\n", "import { log } from './log';\nimport * as tf from '../dist/tfjs.esm.js';\nimport * as backend from './tfjs/backend';\nimport * as facemesh from './blazeface/facemesh';\nimport * as faceboxes from './faceboxes/faceboxes';\nimport * as age from './age/age';\nimport * as gender from './gender/gender';\nimport * as emotion from './emotion/emotion';\nimport * as embedding from './embedding/embedding';\nimport * as posenet from './posenet/posenet';\nimport * as handpose from './handpose/handpose';\nimport * as gesture from './gesture/gesture';\nimport * as image from './image';\nimport * as profile from './profile';\nimport * as config from '../config';\nimport * as sample from './sample';\nimport * as app from '../package.json';\n\n// helper function: gets elapsed time on both browser and nodejs\nconst now = () => {\n if (typeof performance !== 'undefined') return performance.now();\n return parseInt((Number(process.hrtime.bigint()) / 1000 / 1000).toString());\n};\n\n// helper function: perform deep merge of multiple objects so it allows full inheriance with overrides\nfunction mergeDeep(...objects) {\n const isObject = (obj) => obj && typeof obj === 'object';\n return objects.reduce((prev, obj) => {\n Object.keys(obj || {}).forEach((key) => {\n const pVal = prev[key];\n const oVal = obj[key];\n if (Array.isArray(pVal) && Array.isArray(oVal)) {\n prev[key] = pVal.concat(...oVal);\n } else if (isObject(pVal) && isObject(oVal)) {\n prev[key] = mergeDeep(pVal, oVal);\n } else {\n prev[key] = oVal;\n }\n });\n return prev;\n }, {});\n}\n\nclass Human {\n tf: any;\n package: any;\n version: string;\n config: any;\n fx: any;\n state: string;\n numTensors: number;\n analyzeMemoryLeaks: boolean;\n checkSanity: boolean;\n firstRun: boolean;\n perf: any;\n models: any;\n // models\n facemesh: any;\n age: any;\n gender: any;\n emotion: any;\n body: any;\n hand: any;\n\n constructor(userConfig = {}) {\n this.tf = tf;\n this.package = app;\n this.version = app.version;\n this.config = mergeDeep(config.default, userConfig);\n this.fx = null;\n this.state = 'idle';\n this.numTensors = 0;\n this.analyzeMemoryLeaks = false;\n this.checkSanity = false;\n this.firstRun = true;\n this.perf = {};\n // object that contains all initialized models\n this.models = {\n facemesh: null,\n posenet: null,\n handpose: null,\n iris: null,\n age: null,\n gender: null,\n emotion: null,\n };\n // export raw access to underlying models\n this.facemesh = facemesh;\n this.age = age;\n this.gender = gender;\n this.emotion = emotion;\n this.body = posenet;\n this.hand = handpose;\n }\n\n profile() {\n if (this.config.profile) return profile.data;\n return {};\n }\n\n // helper function: measure tensor leak\n analyze(...msg) {\n if (!this.analyzeMemoryLeaks) return;\n const current = this.tf.engine().state.numTensors;\n const previous = this.numTensors;\n this.numTensors = current;\n const leaked = current - previous;\n if (leaked !== 0) log(...msg, leaked);\n }\n\n // quick sanity check on inputs\n sanity(input) {\n if (!this.checkSanity) return null;\n if (!input) return 'input is not defined';\n if (this.tf.ENV.flags.IS_NODE && !(input instanceof this.tf.Tensor)) {\n return 'input must be a tensor';\n }\n try {\n this.tf.getBackend();\n } catch {\n return 'backend not loaded';\n }\n return null;\n }\n\n simmilarity(embedding1, embedding2) {\n if (this.config.face.embedding.enabled) return embedding.simmilarity(embedding1, embedding2);\n return 0;\n }\n\n // preload models, not explicitly required as it's done automatically on first use\n async load(userConfig = null) {\n this.state = 'load';\n const timeStamp = now();\n if (userConfig) this.config = mergeDeep(this.config, userConfig);\n\n if (this.firstRun) {\n log(`version: ${this.version} TensorFlow/JS version: ${this.tf.version_core}`);\n await this.checkBackend(true);\n if (this.tf.ENV.flags.IS_BROWSER) {\n log('configuration:', this.config);\n log('tf flags:', this.tf.ENV.flags);\n }\n }\n const face = this.config.face.detector.modelPath.includes('faceboxes') ? faceboxes : facemesh;\n if (this.config.async) {\n [\n this.models.face,\n this.models.age,\n this.models.gender,\n this.models.emotion,\n this.models.embedding,\n this.models.posenet,\n this.models.handpose,\n ] = await Promise.all([\n this.models.face || (this.config.face.enabled ? face.load(this.config) : null),\n this.models.age || ((this.config.face.enabled && this.config.face.age.enabled) ? age.load(this.config) : null),\n this.models.gender || ((this.config.face.enabled && this.config.face.gender.enabled) ? gender.load(this.config) : null),\n this.models.emotion || ((this.config.face.enabled && this.config.face.emotion.enabled) ? emotion.load(this.config) : null),\n this.models.embedding || ((this.config.face.enabled && this.config.face.embedding.enabled) ? embedding.load(this.config) : null),\n this.models.posenet || (this.config.body.enabled ? posenet.load(this.config) : null),\n this.models.handpose || (this.config.hand.enabled ? handpose.load(this.config) : null),\n ]);\n } else {\n if (this.config.face.enabled && !this.models.face) this.models.face = await face.load(this.config);\n if (this.config.face.enabled && this.config.face.age.enabled && !this.models.age) this.models.age = await age.load(this.config);\n if (this.config.face.enabled && this.config.face.gender.enabled && !this.models.gender) this.models.gender = await gender.load(this.config);\n if (this.config.face.enabled && this.config.face.emotion.enabled && !this.models.emotion) this.models.emotion = await emotion.load(this.config);\n if (this.config.face.enabled && this.config.face.embedding.enabled && !this.models.embedding) this.models.embedding = await embedding.load(this.config);\n if (this.config.body.enabled && !this.models.posenet) this.models.posenet = await posenet.load(this.config);\n if (this.config.hand.enabled && !this.models.handpose) this.models.handpose = await handpose.load(this.config);\n }\n\n if (this.firstRun) {\n log('tf engine state:', this.tf.engine().state.numBytes, 'bytes', this.tf.engine().state.numTensors, 'tensors');\n this.firstRun = false;\n }\n\n const current = Math.trunc(now() - timeStamp);\n if (current > (this.perf.load || 0)) this.perf.load = current;\n }\n\n // check if backend needs initialization if it changed\n async checkBackend(force = false) {\n if (this.config.backend && (this.config.backend !== '') && force || (this.tf.getBackend() !== this.config.backend)) {\n const timeStamp = now();\n this.state = 'backend';\n /* force backend reload\n if (this.config.backend in tf.engine().registry) {\n const backendFactory = tf.findBackendFactory(this.config.backend);\n tf.removeBackend(this.config.backend);\n tf.registerBackend(this.config.backend, backendFactory);\n } else {\n log('Backend not registred:', this.config.backend);\n }\n */\n\n log('setting backend:', this.config.backend);\n\n if (this.config.backend === 'wasm') {\n log('settings wasm path:', this.config.wasmPath);\n this.tf.setWasmPaths(this.config.wasmPath);\n const simd = await this.tf.env().getAsync('WASM_HAS_SIMD_SUPPORT');\n if (!simd) log('warning: wasm simd support is not enabled');\n }\n\n if (this.config.backend === 'humangl') backend.register();\n try {\n await this.tf.setBackend(this.config.backend);\n } catch (err) {\n log('error: cannot set backend:', this.config.backend, err);\n }\n this.tf.enableProdMode();\n /* debug mode is really too mcuh\n tf.enableDebugMode();\n */\n if (this.tf.getBackend() === 'webgl') {\n if (this.config.deallocate) {\n log('changing webgl: WEBGL_DELETE_TEXTURE_THRESHOLD:', this.config.deallocate);\n this.tf.ENV.set('WEBGL_DELETE_TEXTURE_THRESHOLD', this.config.deallocate ? 0 : -1);\n }\n this.tf.ENV.set('WEBGL_FORCE_F16_TEXTURES', true);\n this.tf.ENV.set('WEBGL_PACK_DEPTHWISECONV', true);\n const gl = await this.tf.backend().getGPGPUContext().gl;\n log(`gl version:${gl.getParameter(gl.VERSION)} renderer:${gl.getParameter(gl.RENDERER)}`);\n }\n await this.tf.ready();\n this.perf.backend = Math.trunc(now() - timeStamp);\n }\n }\n\n async detectFace(input) {\n // run facemesh, includes blazeface and iris\n // eslint-disable-next-line no-async-promise-executor\n let timeStamp;\n let ageRes;\n let genderRes;\n let emotionRes;\n let embeddingRes;\n const faceRes: Array<{ confidence: number, box: any, mesh: any, meshRaw: any, boxRaw: any, annotations: any, age: number, gender: string, genderConfidence: number, emotion: string, embedding: any, iris: number }> = [];\n this.state = 'run:face';\n timeStamp = now();\n const faces = await this.models.face?.estimateFaces(input, this.config);\n this.perf.face = Math.trunc(now() - timeStamp);\n for (const face of faces) {\n this.analyze('Get Face');\n\n // is something went wrong, skip the face\n if (!face.image || face.image.isDisposedInternal) {\n log('Face object is disposed:', face.image);\n continue;\n }\n\n // run age, inherits face from blazeface\n this.analyze('Start Age:');\n if (this.config.async) {\n ageRes = this.config.face.age.enabled ? age.predict(face.image, this.config) : {};\n } else {\n this.state = 'run:age';\n timeStamp = now();\n ageRes = this.config.face.age.enabled ? await age.predict(face.image, this.config) : {};\n this.perf.age = Math.trunc(now() - timeStamp);\n }\n\n // run gender, inherits face from blazeface\n this.analyze('Start Gender:');\n if (this.config.async) {\n genderRes = this.config.face.gender.enabled ? gender.predict(face.image, this.config) : {};\n } else {\n this.state = 'run:gender';\n timeStamp = now();\n genderRes = this.config.face.gender.enabled ? await gender.predict(face.image, this.config) : {};\n this.perf.gender = Math.trunc(now() - timeStamp);\n }\n\n // run emotion, inherits face from blazeface\n this.analyze('Start Emotion:');\n if (this.config.async) {\n emotionRes = this.config.face.emotion.enabled ? emotion.predict(face.image, this.config) : {};\n } else {\n this.state = 'run:emotion';\n timeStamp = now();\n emotionRes = this.config.face.emotion.enabled ? await emotion.predict(face.image, this.config) : {};\n this.perf.emotion = Math.trunc(now() - timeStamp);\n }\n this.analyze('End Emotion:');\n\n // run emotion, inherits face from blazeface\n this.analyze('Start Embedding:');\n if (this.config.async) {\n embeddingRes = this.config.face.embedding.enabled ? embedding.predict(face.image, this.config) : {};\n } else {\n this.state = 'run:embedding';\n timeStamp = now();\n embeddingRes = this.config.face.embedding.enabled ? await embedding.predict(face.image, this.config) : {};\n this.perf.embedding = Math.trunc(now() - timeStamp);\n }\n this.analyze('End Emotion:');\n\n // if async wait for results\n if (this.config.async) {\n [ageRes, genderRes, emotionRes, embeddingRes] = await Promise.all([ageRes, genderRes, emotionRes, embeddingRes]);\n }\n\n this.analyze('Finish Face:');\n\n // calculate iris distance\n // iris: array[ center, left, top, right, bottom]\n if (!this.config.face.iris.enabled && face?.annotations?.leftEyeIris && face?.annotations?.rightEyeIris) {\n delete face.annotations.leftEyeIris;\n delete face.annotations.rightEyeIris;\n }\n const irisSize = (face.annotations?.leftEyeIris && face.annotations?.rightEyeIris)\n /* average human iris size is 11.7mm */\n ? 11.7 * Math.max(Math.abs(face.annotations.leftEyeIris[3][0] - face.annotations.leftEyeIris[1][0]), Math.abs(face.annotations.rightEyeIris[4][1] - face.annotations.rightEyeIris[2][1]))\n : 0;\n\n // combine results\n faceRes.push({\n confidence: face.confidence,\n box: face.box,\n mesh: face.mesh,\n boxRaw: face.boxRaw,\n meshRaw: face.meshRaw,\n annotations: face.annotations,\n age: ageRes.age,\n gender: genderRes.gender,\n genderConfidence: genderRes.confidence,\n emotion: emotionRes,\n embedding: embeddingRes,\n iris: (irisSize !== 0) ? Math.trunc(irisSize) / 100 : 0,\n // image: face.image.toInt().squeeze(),\n });\n\n // dont need face anymore\n face.image?.dispose();\n this.analyze('End Face');\n }\n this.analyze('End FaceMesh:');\n if (this.config.async) {\n if (this.perf.face) delete this.perf.face;\n if (this.perf.age) delete this.perf.age;\n if (this.perf.gender) delete this.perf.gender;\n if (this.perf.emotion) delete this.perf.emotion;\n }\n return faceRes;\n }\n\n /*\n async processImage(input, userConfig = {}) {\n this.state = 'image';\n this.config = mergeDeep(this.config, userConfig);\n const process = image.process(input, this.config);\n process?.tensor?.dispose();\n return process?.canvas;\n }\n */\n\n // main detect function\n async detect(input, userConfig = {}) {\n // detection happens inside a promise\n return new Promise(async (resolve) => {\n this.state = 'config';\n let timeStamp;\n\n // update configuration\n this.config = mergeDeep(this.config, userConfig);\n\n // sanity checks\n this.state = 'check';\n const error = this.sanity(input);\n if (error) {\n log(error, input);\n resolve({ error });\n }\n\n let poseRes;\n let handRes;\n let faceRes;\n\n const timeStart = now();\n\n // configure backend\n await this.checkBackend();\n\n // load models if enabled\n await this.load();\n\n if (this.config.scoped) this.tf.engine().startScope();\n this.analyze('Start Scope:');\n\n timeStamp = now();\n const process = image.process(input, this.config);\n if (!process || !process.tensor) {\n log('could not convert input to tensor');\n resolve({ error: 'could not convert input to tensor' });\n return;\n }\n this.perf.image = Math.trunc(now() - timeStamp);\n this.analyze('Get Image:');\n\n // run face detection followed by all models that rely on face bounding box: face mesh, age, gender, emotion\n if (this.config.async) {\n faceRes = this.config.face.enabled ? this.detectFace(process.tensor) : [];\n if (this.perf.face) delete this.perf.face;\n } else {\n this.state = 'run:face';\n timeStamp = now();\n faceRes = this.config.face.enabled ? await this.detectFace(process.tensor) : [];\n this.perf.face = Math.trunc(now() - timeStamp);\n }\n\n // run posenet\n this.analyze('Start Body:');\n if (this.config.async) {\n poseRes = this.config.body.enabled ? this.models.posenet?.estimatePoses(process.tensor, this.config) : [];\n if (this.perf.body) delete this.perf.body;\n } else {\n this.state = 'run:body';\n timeStamp = now();\n poseRes = this.config.body.enabled ? await this.models.posenet?.estimatePoses(process.tensor, this.config) : [];\n this.perf.body = Math.trunc(now() - timeStamp);\n }\n this.analyze('End Body:');\n\n // run handpose\n this.analyze('Start Hand:');\n if (this.config.async) {\n handRes = this.config.hand.enabled ? this.models.handpose?.estimateHands(process.tensor, this.config) : [];\n if (this.perf.hand) delete this.perf.hand;\n } else {\n this.state = 'run:hand';\n timeStamp = now();\n handRes = this.config.hand.enabled ? await this.models.handpose?.estimateHands(process.tensor, this.config) : [];\n this.perf.hand = Math.trunc(now() - timeStamp);\n }\n this.analyze('End Hand:');\n\n // if async wait for results\n if (this.config.async) {\n [faceRes, poseRes, handRes] = await Promise.all([faceRes, poseRes, handRes]);\n }\n process.tensor.dispose();\n\n if (this.config.scoped) this.tf.engine().endScope();\n this.analyze('End Scope:');\n\n let gestureRes = [];\n if (this.config.gesture.enabled) {\n timeStamp = now();\n // @ts-ignore\n gestureRes = [...gesture.face(faceRes), ...gesture.body(poseRes), ...gesture.hand(handRes), ...gesture.iris(faceRes)];\n if (!this.config.async) this.perf.gesture = Math.trunc(now() - timeStamp);\n else if (this.perf.gesture) delete this.perf.gesture;\n }\n\n this.perf.total = Math.trunc(now() - timeStart);\n this.state = 'idle';\n resolve({ face: faceRes, body: poseRes, hand: handRes, gesture: gestureRes, performance: this.perf, canvas: process.canvas });\n });\n }\n\n async warmupBitmap() {\n const b64toBlob = (base64, type = 'application/octet-stream') => fetch(`data:${type};base64,${base64}`).then((res) => res.blob());\n let blob;\n let res;\n switch (this.config.warmup) {\n case 'face': blob = await b64toBlob(sample.face); break;\n case 'full': blob = await b64toBlob(sample.body); break;\n default: blob = null;\n }\n if (blob) {\n const bitmap = await createImageBitmap(blob);\n res = await this.detect(bitmap, this.config);\n bitmap.close();\n }\n return res;\n }\n\n async warmupCanvas() {\n return new Promise((resolve) => {\n let src;\n let size = 0;\n switch (this.config.warmup) {\n case 'face':\n size = 256;\n src = 'data:image/jpeg;base64,' + sample.face;\n break;\n case 'full':\n size = 1200;\n src = 'data:image/jpeg;base64,' + sample.body;\n break;\n default:\n src = null;\n }\n const img = new Image(size, size);\n img.onload = () => {\n const canvas = (typeof OffscreenCanvas !== 'undefined') ? new OffscreenCanvas(size, size) : document.createElement('canvas');\n canvas.width = size;\n canvas.height = size;\n const ctx = canvas.getContext('2d');\n ctx?.drawImage(img, 0, 0);\n const data = ctx?.getImageData(0, 0, size, size);\n this.detect(data, this.config).then((res) => resolve(res));\n };\n if (src) img.src = src;\n else resolve(null);\n });\n }\n\n async warmupNode() {\n const atob = (str) => Buffer.from(str, 'base64');\n const img = this.config.warmup === 'face' ? atob(sample.face) : atob(sample.body);\n // @ts-ignore\n const data = tf.node.decodeJpeg(img); // tf.node is only defined when compiling for nodejs\n const expanded = data.expandDims(0);\n this.tf.dispose(data);\n // log('Input:', expanded);\n const res = await this.detect(expanded, this.config);\n this.tf.dispose(expanded);\n return res;\n }\n\n async warmup(userConfig) {\n const t0 = now();\n if (userConfig) this.config = mergeDeep(this.config, userConfig);\n const video = this.config.videoOptimized;\n this.config.videoOptimized = false;\n let res;\n if (typeof createImageBitmap === 'function') res = await this.warmupBitmap();\n else if (typeof Image !== 'undefined') res = await this.warmupCanvas();\n else res = await this.warmupNode();\n this.config.videoOptimized = video;\n const t1 = now();\n log('Warmup', this.config.warmup, Math.round(t1 - t0), 'ms', res);\n return res;\n }\n}\n\nexport { Human as default };\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as profile from '../profile';\n\nexport class FaceBoxes {\n enlarge: number;\n model: any;\n config: any;\n\n constructor(model, config) {\n this.enlarge = 1.1;\n this.model = model;\n this.config = config;\n }\n\n async estimateFaces(input, config) {\n if (config) this.config = config;\n const results: Array<{ confidence: number, box: any, boxRaw: any, image: any }> = [];\n const resizeT = tf.image.resizeBilinear(input, [this.config.face.detector.inputSize, this.config.face.detector.inputSize]);\n const castT = resizeT.toInt();\n let scores;\n let boxes;\n if (!config.profile) {\n const [scoresT, boxesT, numT] = await this.model.executeAsync(castT);\n scores = scoresT.dataSync();\n const squeezeT = boxesT.squeeze();\n boxes = squeezeT.arraySync();\n scoresT.dispose();\n boxesT.dispose();\n squeezeT.dispose();\n numT.dispose();\n } else {\n const profileData = await tf.profile(() => this.model.executeAsync(castT));\n scores = profileData.result[0].dataSync();\n const squeezeT = profileData.result[1].squeeze();\n boxes = squeezeT.arraySync();\n profileData.result.forEach((t) => t.dispose());\n profile.run('faceboxes', profileData);\n }\n castT.dispose();\n resizeT.dispose();\n for (const i in boxes) {\n if (scores[i] && scores[i] > this.config.face.detector.minConfidence) {\n const crop = [boxes[i][0] / this.enlarge, boxes[i][1] / this.enlarge, boxes[i][2] * this.enlarge, boxes[i][3] * this.enlarge];\n const boxRaw = [crop[1], crop[0], (crop[3]) - (crop[1]), (crop[2]) - (crop[0])];\n const box = [\n parseInt((boxRaw[0] * input.shape[2]).toString()),\n parseInt((boxRaw[1] * input.shape[1]).toString()),\n parseInt((boxRaw[2] * input.shape[2]).toString()),\n parseInt((boxRaw[3] * input.shape[1]).toString())];\n const resized = tf.image.cropAndResize(input, [crop], [0], [this.config.face.detector.inputSize, this.config.face.detector.inputSize]);\n const image = resized.div([255]);\n resized.dispose();\n results.push({ confidence: scores[i], box, boxRaw: this.config.face.mesh.returnRawData ? boxRaw : null, image });\n // add mesh, meshRaw, annotations,\n }\n }\n return results;\n }\n}\n\nexport async function load(config) {\n const model = await tf.loadGraphModel(config.face.detector.modelPath);\n log(`load model: ${config.face.detector.modelPath.match(/\\/(.*)\\./)[1]}`);\n const faceboxes = new FaceBoxes(model, config);\n if (config.face.mesh.enabled) log(`load model: ${config.face.mesh.modelPath.match(/\\/(.*)\\./)[1]}`);\n if (config.face.iris.enabled) log(`load model: ${config.face.iris.modelPath.match(/\\/(.*)\\./)[1]}`);\n return faceboxes;\n}\n", "import { log } from './log';\n\nexport const data = {};\n\nexport function run(name: string, raw: any) {\n if (!raw || !raw.kernels) return;\n const maxResults = 5;\n const time = raw.kernels\n .filter((a) => a.kernelTimeMs > 0)\n .reduce((a, b) => a += b.kernelTimeMs, 0);\n const slowest = raw.kernels\n .map((a, i) => { a.id = i; return a; })\n .filter((a) => a.kernelTimeMs > 0)\n .sort((a, b) => b.kernelTimeMs - a.kernelTimeMs);\n const largest = raw.kernels\n .map((a, i) => { a.id = i; return a; })\n .filter((a) => a.totalBytesSnapshot > 0)\n .sort((a, b) => b.totalBytesSnapshot - a.totalBytesSnapshot);\n if (slowest.length > maxResults) slowest.length = maxResults;\n if (largest.length > maxResults) largest.length = maxResults;\n const res = { newBytes: raw.newBytes, newTensors: raw.newTensors, peakBytes: raw.peakBytes, numKernelOps: raw.kernels.length, timeKernelOps: time, slowestKernelOps: slowest, largestKernelOps: largest };\n data[name] = res;\n log('Human profiler', name, res);\n}\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as profile from '../profile';\n\nlet model;\nlet last = { age: 0 };\nlet skipped = Number.MAX_SAFE_INTEGER;\n\nexport async function load(config) {\n if (!model) {\n model = await tf.loadGraphModel(config.face.age.modelPath);\n log(`load model: ${config.face.age.modelPath.match(/\\/(.*)\\./)[1]}`);\n }\n return model;\n}\n\nexport async function predict(image, config) {\n if (!model) return null;\n if ((skipped < config.face.age.skipFrames) && config.videoOptimized && last.age && (last.age > 0)) {\n skipped++;\n return last;\n }\n if (config.videoOptimized) skipped = 0;\n else skipped = Number.MAX_SAFE_INTEGER;\n return new Promise(async (resolve) => {\n /*\n const zoom = [0, 0]; // 0..1 meaning 0%..100%\n const box = [[\n (image.shape[1] * zoom[0]) / image.shape[1],\n (image.shape[2] * zoom[1]) / image.shape[2],\n (image.shape[1] - (image.shape[1] * zoom[0])) / image.shape[1],\n (image.shape[2] - (image.shape[2] * zoom[1])) / image.shape[2],\n ]];\n const resize = tf.image.cropAndResize(image, box, [0], [config.face.age.inputSize, config.face.age.inputSize]);\n */\n const resize = tf.image.resizeBilinear(image, [config.face.age.inputSize, config.face.age.inputSize], false);\n const enhance = tf.mul(resize, [255.0]);\n tf.dispose(resize);\n\n let ageT;\n const obj = { age: 0 };\n\n if (!config.profile) {\n if (config.face.age.enabled) ageT = await model.predict(enhance);\n } else {\n const profileAge = config.face.age.enabled ? await tf.profile(() => model.predict(enhance)) : {};\n ageT = profileAge.result.clone();\n profileAge.result.dispose();\n profile.run('age', profileAge);\n }\n enhance.dispose();\n\n if (ageT) {\n const data = ageT.dataSync();\n obj.age = Math.trunc(10 * data[0]) / 10;\n }\n ageT.dispose();\n\n last = obj;\n resolve(obj);\n });\n}\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as profile from '../profile';\n\nlet model;\nlet last = { gender: '' };\nlet skipped = Number.MAX_SAFE_INTEGER;\nlet alternative = false;\n\n// tuning values\nconst rgb = [0.2989, 0.5870, 0.1140]; // factors for red/green/blue colors when converting to grayscale\n\nexport async function load(config) {\n if (!model) {\n model = await tf.loadGraphModel(config.face.gender.modelPath);\n alternative = model.inputs[0].shape[3] === 1;\n log(`load model: ${config.face.gender.modelPath.match(/\\/(.*)\\./)[1]}`);\n }\n return model;\n}\n\nexport async function predict(image, config) {\n if (!model) return null;\n if ((skipped < config.face.gender.skipFrames) && config.videoOptimized && last.gender !== '') {\n skipped++;\n return last;\n }\n if (config.videoOptimized) skipped = 0;\n else skipped = Number.MAX_SAFE_INTEGER;\n return new Promise(async (resolve) => {\n const resize = tf.image.resizeBilinear(image, [config.face.gender.inputSize, config.face.gender.inputSize], false);\n let enhance;\n if (alternative) {\n enhance = tf.tidy(() => {\n const [red, green, blue] = tf.split(resize, 3, 3);\n const redNorm = tf.mul(red, rgb[0]);\n const greenNorm = tf.mul(green, rgb[1]);\n const blueNorm = tf.mul(blue, rgb[2]);\n const grayscale = tf.addN([redNorm, greenNorm, blueNorm]);\n return grayscale.sub(0.5).mul(2);\n });\n } else {\n enhance = tf.mul(resize, [255.0]);\n }\n tf.dispose(resize);\n\n let genderT;\n const obj = { gender: '', confidence: 0 };\n\n if (!config.profile) {\n if (config.face.gender.enabled) genderT = await model.predict(enhance);\n } else {\n const profileGender = config.face.gender.enabled ? await tf.profile(() => model.predict(enhance)) : {};\n genderT = profileGender.result.clone();\n profileGender.result.dispose();\n profile.run('gender', profileGender);\n }\n enhance.dispose();\n\n if (genderT) {\n const data = genderT.dataSync();\n if (alternative) {\n // returns two values 0..1, bigger one is prediction\n const confidence = Math.trunc(100 * Math.abs(data[0] - data[1])) / 100;\n if (confidence > config.face.gender.minConfidence) {\n obj.gender = data[0] > data[1] ? 'female' : 'male';\n obj.confidence = confidence;\n }\n } else {\n // returns one value 0..1, .5 is prediction threshold\n const confidence = Math.trunc(200 * Math.abs((data[0] - 0.5))) / 100;\n if (confidence > config.face.gender.minConfidence) {\n obj.gender = data[0] <= 0.5 ? 'female' : 'male';\n obj.confidence = Math.min(0.99, confidence);\n }\n }\n }\n genderT.dispose();\n\n last = obj;\n resolve(obj);\n });\n}\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as profile from '../profile';\n\nconst annotations = ['angry', 'disgust', 'fear', 'happy', 'sad', 'surprise', 'neutral'];\nlet model;\nlet last: Array<{ score: number, emotion: string }> = [];\nlet skipped = Number.MAX_SAFE_INTEGER;\n\n// tuning values\nconst rgb = [0.2989, 0.5870, 0.1140]; // factors for red/green/blue colors when converting to grayscale\nconst scale = 1; // score multiplication factor\n\nexport async function load(config) {\n if (!model) {\n model = await tf.loadGraphModel(config.face.emotion.modelPath);\n log(`load model: ${config.face.emotion.modelPath.match(/\\/(.*)\\./)[1]}`);\n }\n return model;\n}\n\nexport async function predict(image, config) {\n if (!model) return null;\n if ((skipped < config.face.emotion.skipFrames) && config.videoOptimized && (last.length > 0)) {\n skipped++;\n return last;\n }\n if (config.videoOptimized) skipped = 0;\n else skipped = Number.MAX_SAFE_INTEGER;\n return new Promise(async (resolve) => {\n /*\n const zoom = [0, 0]; // 0..1 meaning 0%..100%\n const box = [[\n (image.shape[1] * zoom[0]) / image.shape[1],\n (image.shape[2] * zoom[1]) / image.shape[2],\n (image.shape[1] - (image.shape[1] * zoom[0])) / image.shape[1],\n (image.shape[2] - (image.shape[2] * zoom[1])) / image.shape[2],\n ]];\n const resize = tf.image.cropAndResize(image, box, [0], [config.face.emotion.inputSize, config.face.emotion.inputSize]);\n */\n const resize = tf.image.resizeBilinear(image, [config.face.emotion.inputSize, config.face.emotion.inputSize], false);\n const [red, green, blue] = tf.split(resize, 3, 3);\n resize.dispose();\n // weighted rgb to grayscale: https://www.mathworks.com/help/matlab/ref/rgb2gray.html\n const redNorm = tf.mul(red, rgb[0]);\n const greenNorm = tf.mul(green, rgb[1]);\n const blueNorm = tf.mul(blue, rgb[2]);\n red.dispose();\n green.dispose();\n blue.dispose();\n const grayscale = tf.addN([redNorm, greenNorm, blueNorm]);\n redNorm.dispose();\n greenNorm.dispose();\n blueNorm.dispose();\n const normalize = tf.tidy(() => grayscale.sub(0.5).mul(2));\n grayscale.dispose();\n const obj: Array<{ score: number, emotion: string }> = [];\n if (config.face.emotion.enabled) {\n let data;\n if (!config.profile) {\n const emotionT = await model.predict(normalize);\n data = emotionT.dataSync();\n tf.dispose(emotionT);\n } else {\n const profileData = await tf.profile(() => model.predict(normalize));\n data = profileData.result.dataSync();\n profileData.result.dispose();\n profile.run('emotion', profileData);\n }\n for (let i = 0; i < data.length; i++) {\n if (scale * data[i] > config.face.emotion.minConfidence) obj.push({ score: Math.min(0.99, Math.trunc(100 * scale * data[i]) / 100), emotion: annotations[i] });\n }\n obj.sort((a, b) => b.score - a.score);\n }\n normalize.dispose();\n last = obj;\n resolve(obj);\n });\n}\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as profile from '../profile';\n\n// based on https://github.com/sirius-ai/MobileFaceNet_TF\n// model converted from https://github.com/sirius-ai/MobileFaceNet_TF/files/3551493/FaceMobileNet192_train_false.zip\n\nlet model;\n\nexport async function load(config) {\n if (!model) {\n model = await tf.loadGraphModel(config.face.embedding.modelPath);\n log(`load model: ${config.face.embedding.modelPath.match(/\\/(.*)\\./)[1]}`);\n }\n return model;\n}\n\nexport function simmilarity(embedding1, embedding2) {\n if (!embedding1 || embedding2) return 0;\n if (embedding1?.length === 0 || embedding2?.length === 0) return 0;\n if (embedding1?.length !== embedding2?.length) return 0;\n // general minkowski distance\n // euclidean distance is limited case where order is 2\n const order = 2;\n const distance = 10.0 * ((embedding1.map((val, i) => (val - embedding2[i])).reduce((dist, diff) => dist + (diff ** order), 0) ** (1 / order)));\n return (Math.trunc(1000 * (1 - distance)) / 1000);\n}\n\nexport async function predict(image, config) {\n if (!model) return null;\n return new Promise(async (resolve) => {\n const resize = tf.image.resizeBilinear(image, [config.face.embedding.inputSize, config.face.embedding.inputSize], false);\n // const normalize = tf.tidy(() => resize.div(127.5).sub(0.5)); // this is -0.5...0.5 ???\n let data: Array<[]> = [];\n if (config.face.embedding.enabled) {\n if (!config.profile) {\n const embeddingT = await model.predict({ img_inputs: resize });\n data = [...embeddingT.dataSync()]; // convert object array to standard array\n tf.dispose(embeddingT);\n } else {\n const profileData = await tf.profile(() => model.predict({ img_inputs: resize }));\n data = [...profileData.result.dataSync()];\n profileData.result.dispose();\n profile.run('emotion', profileData);\n }\n }\n resize.dispose();\n // normalize.dispose();\n resolve(data);\n });\n}\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as modelBase from './modelBase';\nimport * as decodeMultiple from './decodeMultiple';\nimport * as decodePose from './decodePose';\nimport * as util from './util';\n\nasync function estimateMultiple(input, res, config) {\n return new Promise(async (resolve) => {\n const height = input.shape[1];\n const width = input.shape[2];\n const allTensorBuffers = await util.toTensorBuffers3D([res.heatmapScores, res.offsets, res.displacementFwd, res.displacementBwd]);\n const scoresBuffer = allTensorBuffers[0];\n const offsetsBuffer = allTensorBuffers[1];\n const displacementsFwdBuffer = allTensorBuffers[2];\n const displacementsBwdBuffer = allTensorBuffers[3];\n const poses = await decodeMultiple.decodeMultiplePoses(scoresBuffer, offsetsBuffer, displacementsFwdBuffer, displacementsBwdBuffer, config);\n const scaled = util.scaleAndFlipPoses(poses, [height, width], [config.body.inputSize, config.body.inputSize]);\n resolve(scaled);\n });\n}\n\nasync function estimateSingle(input, res, config) {\n return new Promise(async (resolve) => {\n const height = input.shape[1];\n const width = input.shape[2];\n const pose = await decodePose.decodeSinglePose(res.heatmapScores, res.offsets, config);\n const poses = [pose];\n const scaled = util.scaleAndFlipPoses(poses, [height, width], [config.body.inputSize, config.body.inputSize]);\n resolve(scaled);\n });\n}\n\nexport class PoseNet {\n baseModel: any;\n constructor(model) {\n this.baseModel = model;\n }\n\n async estimatePoses(input, config) {\n const resized = util.resizeTo(input, [config.body.inputSize, config.body.inputSize]);\n const res = this.baseModel.predict(resized, config);\n\n const poses = (config.body.maxDetections < 2) ? await estimateSingle(input, res, config) : await estimateMultiple(input, res, config);\n\n res.heatmapScores.dispose();\n res.offsets.dispose();\n res.displacementFwd.dispose();\n res.displacementBwd.dispose();\n resized.dispose();\n\n return poses;\n }\n\n dispose() {\n this.baseModel.dispose();\n }\n}\n\nexport async function load(config) {\n const model = await tf.loadGraphModel(config.body.modelPath);\n const mobilenet = new modelBase.BaseModel(model);\n log(`load model: ${config.body.modelPath.match(/\\/(.*)\\./)[1]}`);\n return new PoseNet(mobilenet);\n}\n", "import * as tf from '../../dist/tfjs.esm.js';\n\nconst imageNetMean = [-123.15, -115.90, -103.06];\n\nfunction nameOutputResultsMobileNet(results) {\n const [offsets, heatmap, displacementFwd, displacementBwd] = results;\n return { offsets, heatmap, displacementFwd, displacementBwd };\n}\n\nfunction nameOutputResultsResNet(results) {\n const [displacementFwd, displacementBwd, offsets, heatmap] = results;\n return { offsets, heatmap, displacementFwd, displacementBwd };\n}\n\nexport class BaseModel {\n model: any;\n constructor(model) {\n this.model = model;\n }\n\n predict(input, config) {\n return tf.tidy(() => {\n const asFloat = (config.body.modelType === 'ResNet') ? input.toFloat().add(imageNetMean) : input.toFloat().div(127.5).sub(1.0);\n const asBatch = asFloat.expandDims(0);\n const results = this.model.predict(asBatch);\n const results3d = results.map((y) => y.squeeze([0]));\n const namedResults = (config.body.modelType === 'ResNet') ? nameOutputResultsResNet(results3d) : nameOutputResultsMobileNet(results3d);\n return {\n heatmapScores: namedResults.heatmap.sigmoid(),\n offsets: namedResults.offsets,\n displacementFwd: namedResults.displacementFwd,\n displacementBwd: namedResults.displacementBwd,\n };\n });\n }\n\n dispose() {\n this.model.dispose();\n }\n}\n", "// algorithm based on Coursera Lecture from Algorithms, Part 1: https://www.coursera.org/learn/algorithms-part1/lecture/ZjoSM/heapsort\nfunction half(k) {\n return Math.floor(k / 2);\n}\nexport class MaxHeap {\n priorityQueue: any;\n numberOfElements: number;\n getElementValue: any;\n\n constructor(maxSize, getElementValue) {\n this.priorityQueue = new Array(maxSize);\n this.numberOfElements = -1;\n this.getElementValue = getElementValue;\n }\n\n enqueue(x) {\n this.priorityQueue[++this.numberOfElements] = x;\n this.swim(this.numberOfElements);\n }\n\n dequeue() {\n const max = this.priorityQueue[0];\n this.exchange(0, this.numberOfElements--);\n this.sink(0);\n this.priorityQueue[this.numberOfElements + 1] = null;\n return max;\n }\n\n empty() {\n return this.numberOfElements === -1;\n }\n\n size() {\n return this.numberOfElements + 1;\n }\n\n all() {\n return this.priorityQueue.slice(0, this.numberOfElements + 1);\n }\n\n max() {\n return this.priorityQueue[0];\n }\n\n swim(k) {\n while (k > 0 && this.less(half(k), k)) {\n this.exchange(k, half(k));\n k = half(k);\n }\n }\n\n sink(k) {\n while (2 * k <= this.numberOfElements) {\n let j = 2 * k;\n if (j < this.numberOfElements && this.less(j, j + 1)) j++;\n if (!this.less(k, j)) break;\n this.exchange(k, j);\n k = j;\n }\n }\n\n getValueAt(i) {\n return this.getElementValue(this.priorityQueue[i]);\n }\n\n less(i, j) {\n return this.getValueAt(i) < this.getValueAt(j);\n }\n\n exchange(i, j) {\n const t = this.priorityQueue[i];\n this.priorityQueue[i] = this.priorityQueue[j];\n this.priorityQueue[j] = t;\n }\n}\n", "import * as heapSort from './heapSort';\n\nfunction scoreIsMaximumInLocalWindow(keypointId, score, heatmapY, heatmapX, localMaximumRadius, scores) {\n const [height, width] = scores.shape;\n let localMaximum = true;\n const yStart = Math.max(heatmapY - localMaximumRadius, 0);\n const yEnd = Math.min(heatmapY + localMaximumRadius + 1, height);\n for (let yCurrent = yStart; yCurrent < yEnd; ++yCurrent) {\n const xStart = Math.max(heatmapX - localMaximumRadius, 0);\n const xEnd = Math.min(heatmapX + localMaximumRadius + 1, width);\n for (let xCurrent = xStart; xCurrent < xEnd; ++xCurrent) {\n if (scores.get(yCurrent, xCurrent, keypointId) > score) {\n localMaximum = false;\n break;\n }\n }\n if (!localMaximum) break;\n }\n return localMaximum;\n}\n\nexport function buildPartWithScoreQueue(scoreThreshold, localMaximumRadius, scores) {\n const [height, width, numKeypoints] = scores.shape;\n const queue = new heapSort.MaxHeap(height * width * numKeypoints, ({ score }) => score);\n for (let heatmapY = 0; heatmapY < height; ++heatmapY) {\n for (let heatmapX = 0; heatmapX < width; ++heatmapX) {\n for (let keypointId = 0; keypointId < numKeypoints; ++keypointId) {\n const score = scores.get(heatmapY, heatmapX, keypointId);\n // Only consider parts with score greater or equal to threshold as root candidates.\n if (score < scoreThreshold) continue;\n // Only consider keypoints whose score is maximum in a local window.\n if (scoreIsMaximumInLocalWindow(keypointId, score, heatmapY, heatmapX, localMaximumRadius, scores)) {\n queue.enqueue({ score, part: { heatmapY, heatmapX, id: keypointId } });\n }\n }\n }\n }\n return queue;\n}\n", "import * as keypoints from './keypoints';\nimport * as vectors from './vectors';\nimport * as decoders from './decoders';\n\nconst parentChildrenTuples = keypoints.poseChain.map(([parentJoinName, childJoinName]) => ([keypoints.partIds[parentJoinName], keypoints.partIds[childJoinName]]));\nconst parentToChildEdges = parentChildrenTuples.map(([, childJointId]) => childJointId);\nconst childToParentEdges = parentChildrenTuples.map(([parentJointId]) => parentJointId);\nfunction getDisplacement(edgeId, point, displacements) {\n const numEdges = displacements.shape[2] / 2;\n return {\n y: displacements.get(point.y, point.x, edgeId),\n x: displacements.get(point.y, point.x, numEdges + edgeId),\n };\n}\nfunction getStridedIndexNearPoint(point, outputStride, height, width) {\n return {\n y: vectors.clamp(Math.round(point.y / outputStride), 0, height - 1),\n x: vectors.clamp(Math.round(point.x / outputStride), 0, width - 1),\n };\n}\n\nfunction traverseToTargetKeypoint(edgeId, sourceKeypoint, targetKeypointId, scoresBuffer, offsets, outputStride, displacements, offsetRefineStep = 2) {\n const [height, width] = scoresBuffer.shape;\n // Nearest neighbor interpolation for the source->target displacements.\n const sourceKeypointIndices = getStridedIndexNearPoint(sourceKeypoint.position, outputStride, height, width);\n const displacement = getDisplacement(edgeId, sourceKeypointIndices, displacements);\n const displacedPoint = vectors.addVectors(sourceKeypoint.position, displacement);\n let targetKeypoint = displacedPoint;\n for (let i = 0; i < offsetRefineStep; i++) {\n const targetKeypointIndices = getStridedIndexNearPoint(targetKeypoint, outputStride, height, width);\n const offsetPoint = vectors.getOffsetPoint(targetKeypointIndices.y, targetKeypointIndices.x, targetKeypointId, offsets);\n targetKeypoint = vectors.addVectors({\n x: targetKeypointIndices.x * outputStride,\n y: targetKeypointIndices.y * outputStride,\n }, { x: offsetPoint.x, y: offsetPoint.y });\n }\n const targetKeyPointIndices = getStridedIndexNearPoint(targetKeypoint, outputStride, height, width);\n const score = scoresBuffer.get(targetKeyPointIndices.y, targetKeyPointIndices.x, targetKeypointId);\n return { position: targetKeypoint, part: keypoints.partNames[targetKeypointId], score };\n}\n\nexport function decodePose(root, scores, offsets, outputStride, displacementsFwd, displacementsBwd) {\n const numParts = scores.shape[2];\n const numEdges = parentToChildEdges.length;\n const instanceKeypoints = new Array(numParts);\n // Start a new detection instance at the position of the root.\n const { part: rootPart, score: rootScore } = root;\n const rootPoint = vectors.getImageCoords(rootPart, outputStride, offsets);\n instanceKeypoints[rootPart.id] = {\n score: rootScore,\n part: keypoints.partNames[rootPart.id],\n position: rootPoint,\n };\n // Decode the part positions upwards in the tree, following the backward displacements.\n for (let edge = numEdges - 1; edge >= 0; --edge) {\n const sourceKeypointId = parentToChildEdges[edge];\n const targetKeypointId = childToParentEdges[edge];\n if (instanceKeypoints[sourceKeypointId] && !instanceKeypoints[targetKeypointId]) {\n instanceKeypoints[targetKeypointId] = traverseToTargetKeypoint(edge, instanceKeypoints[sourceKeypointId], targetKeypointId, scores, offsets, outputStride, displacementsBwd);\n }\n }\n // Decode the part positions downwards in the tree, following the forward displacements.\n for (let edge = 0; edge < numEdges; ++edge) {\n const sourceKeypointId = childToParentEdges[edge];\n const targetKeypointId = parentToChildEdges[edge];\n if (instanceKeypoints[sourceKeypointId] && !instanceKeypoints[targetKeypointId]) {\n instanceKeypoints[targetKeypointId] = traverseToTargetKeypoint(edge, instanceKeypoints[sourceKeypointId], targetKeypointId, scores, offsets, outputStride, displacementsFwd);\n }\n }\n return instanceKeypoints;\n}\n\nexport async function decodeSinglePose(heatmapScores, offsets, config) {\n let totalScore = 0.0;\n const heatmapValues = decoders.argmax2d(heatmapScores);\n const allTensorBuffers = await Promise.all([heatmapScores.buffer(), offsets.buffer(), heatmapValues.buffer()]);\n const scoresBuffer = allTensorBuffers[0];\n const offsetsBuffer = allTensorBuffers[1];\n const heatmapValuesBuffer = allTensorBuffers[2];\n const offsetPoints = decoders.getOffsetPoints(heatmapValuesBuffer, config.body.outputStride, offsetsBuffer);\n const offsetPointsBuffer = await offsetPoints.buffer();\n const keypointConfidence = Array.from(decoders.getPointsConfidence(scoresBuffer, heatmapValuesBuffer));\n const instanceKeypoints = keypointConfidence.map((score, i) => {\n totalScore += score;\n return {\n position: {\n y: offsetPointsBuffer.get(i, 0),\n x: offsetPointsBuffer.get(i, 1),\n },\n part: keypoints.partNames[i],\n score,\n };\n });\n const filteredKeypoints = instanceKeypoints.filter((kpt) => kpt.score > config.body.scoreThreshold);\n heatmapValues.dispose();\n offsetPoints.dispose();\n return { keypoints: filteredKeypoints, score: totalScore / instanceKeypoints.length };\n}\n", "import * as kpt from './keypoints';\n\nexport function getOffsetPoint(y, x, keypoint, offsets) {\n return {\n y: offsets.get(y, x, keypoint),\n x: offsets.get(y, x, keypoint + kpt.NUM_KEYPOINTS),\n };\n}\n\nexport function getImageCoords(part, outputStride, offsets) {\n const { heatmapY, heatmapX, id: keypoint } = part;\n const { y, x } = getOffsetPoint(heatmapY, heatmapX, keypoint, offsets);\n return {\n x: part.heatmapX * outputStride + x,\n y: part.heatmapY * outputStride + y,\n };\n}\n\nexport function fillArray(element, size) {\n const result = new Array(size);\n for (let i = 0; i < size; i++) {\n result[i] = element;\n }\n return result;\n}\n\nexport function clamp(a, min, max) {\n if (a < min) return min;\n if (a > max) return max;\n return a;\n}\n\nexport function squaredDistance(y1, x1, y2, x2) {\n const dy = y2 - y1;\n const dx = x2 - x1;\n return dy * dy + dx * dx;\n}\n\nexport function addVectors(a, b) {\n return { x: a.x + b.x, y: a.y + b.y };\n}\n\nexport function clampVector(a, min, max) {\n return { y: clamp(a.y, min, max), x: clamp(a.x, min, max) };\n}\n", "import * as tf from '../../dist/tfjs.esm.js';\nimport * as kpt from './keypoints';\n\nexport function getPointsConfidence(heatmapScores, heatMapCoords) {\n const numKeypoints = heatMapCoords.shape[0];\n const result = new Float32Array(numKeypoints);\n for (let keypoint = 0; keypoint < numKeypoints; keypoint++) {\n const y = heatMapCoords.get(keypoint, 0);\n const x = heatMapCoords.get(keypoint, 1);\n result[keypoint] = heatmapScores.get(y, x, keypoint);\n }\n return result;\n}\n\nfunction getOffsetPoint(y, x, keypoint, offsetsBuffer) {\n return {\n y: offsetsBuffer.get(y, x, keypoint),\n x: offsetsBuffer.get(y, x, keypoint + kpt.NUM_KEYPOINTS),\n };\n}\n\nexport function getOffsetVectors(heatMapCoordsBuffer, offsetsBuffer) {\n const result: Array = [];\n for (let keypoint = 0; keypoint < kpt.NUM_KEYPOINTS; keypoint++) {\n const heatmapY = heatMapCoordsBuffer.get(keypoint, 0).valueOf();\n const heatmapX = heatMapCoordsBuffer.get(keypoint, 1).valueOf();\n const { x, y } = getOffsetPoint(heatmapY, heatmapX, keypoint, offsetsBuffer);\n result.push(y);\n result.push(x);\n }\n return tf.tensor2d(result, [kpt.NUM_KEYPOINTS, 2]);\n}\n\nexport function getOffsetPoints(heatMapCoordsBuffer, outputStride, offsetsBuffer) {\n return tf.tidy(() => heatMapCoordsBuffer.toTensor().mul(tf.scalar(outputStride, 'int32')).toFloat().add(getOffsetVectors(heatMapCoordsBuffer, offsetsBuffer)));\n}\n\nfunction mod(a, b) {\n return tf.tidy(() => {\n const floored = a.div(tf.scalar(b, 'int32'));\n return a.sub(floored.mul(tf.scalar(b, 'int32')));\n });\n}\n\nexport function argmax2d(inputs) {\n const [height, width, depth] = inputs.shape;\n return tf.tidy(() => {\n const reshaped = inputs.reshape([height * width, depth]);\n const coords = reshaped.argMax(0);\n const yCoords = coords.div(tf.scalar(width, 'int32')).expandDims(1);\n const xCoords = mod(coords, width).expandDims(1);\n return tf.concat([yCoords, xCoords], 1);\n });\n}\n", "import * as buildParts from './buildParts';\nimport * as decodePose from './decodePose';\nimport * as vectors from './vectors';\n\nconst kLocalMaximumRadius = 1;\n\nfunction withinNmsRadiusOfCorrespondingPoint(poses, squaredNmsRadius, { x, y }, keypointId) {\n return poses.some(({ keypoints }) => {\n const correspondingKeypoint = keypoints[keypointId].position;\n return vectors.squaredDistance(y, x, correspondingKeypoint.y, correspondingKeypoint.x) <= squaredNmsRadius;\n });\n}\n\nfunction getInstanceScore(existingPoses, squaredNmsRadius, instanceKeypoints) {\n const notOverlappedKeypointScores = instanceKeypoints.reduce((result, { position, score }, keypointId) => {\n if (!withinNmsRadiusOfCorrespondingPoint(existingPoses, squaredNmsRadius, position, keypointId)) result += score;\n return result;\n }, 0.0);\n return notOverlappedKeypointScores / instanceKeypoints.length;\n}\n\nexport function decodeMultiplePoses(scoresBuffer, offsetsBuffer, displacementsFwdBuffer, displacementsBwdBuffer, config) {\n const poses: Array<{ keypoints: any, score: number }> = [];\n const queue = buildParts.buildPartWithScoreQueue(config.body.scoreThreshold, kLocalMaximumRadius, scoresBuffer);\n const squaredNmsRadius = config.body.nmsRadius ^ 2;\n // Generate at most maxDetections object instances per image in decreasing root part score order.\n while (poses.length < config.body.maxDetections && !queue.empty()) {\n // The top element in the queue is the next root candidate.\n const root = queue.dequeue();\n // Part-based non-maximum suppression: We reject a root candidate if it is within a disk of `nmsRadius` pixels from the corresponding part of a previously detected instance.\n const rootImageCoords = vectors.getImageCoords(root.part, config.body.outputStride, offsetsBuffer);\n if (withinNmsRadiusOfCorrespondingPoint(poses, squaredNmsRadius, rootImageCoords, root.part.id)) continue;\n // Else start a new detection instance at the position of the root.\n const keypoints = decodePose.decodePose(root, scoresBuffer, offsetsBuffer, config.body.outputStride, displacementsFwdBuffer, displacementsBwdBuffer);\n const score = getInstanceScore(poses, squaredNmsRadius, keypoints);\n if (score > config.body.scoreThreshold) poses.push({ keypoints, score });\n }\n return poses;\n}\n", "import * as kpt from './keypoints';\n\nexport function eitherPointDoesntMeetConfidence(a, b, minConfidence) {\n return (a < minConfidence || b < minConfidence);\n}\n\nexport function getAdjacentKeyPoints(keypoints, minConfidence) {\n return kpt.connectedPartIndices.reduce((result, [leftJoint, rightJoint]) => {\n if (eitherPointDoesntMeetConfidence(keypoints[leftJoint].score, keypoints[rightJoint].score, minConfidence)) {\n return result;\n }\n result.push([keypoints[leftJoint], keypoints[rightJoint]]);\n return result;\n }, []);\n}\n\nconst { NEGATIVE_INFINITY, POSITIVE_INFINITY } = Number;\nexport function getBoundingBox(keypoints) {\n return keypoints.reduce(({ maxX, maxY, minX, minY }, { position: { x, y } }) => ({\n maxX: Math.max(maxX, x),\n maxY: Math.max(maxY, y),\n minX: Math.min(minX, x),\n minY: Math.min(minY, y),\n }), {\n maxX: NEGATIVE_INFINITY,\n maxY: NEGATIVE_INFINITY,\n minX: POSITIVE_INFINITY,\n minY: POSITIVE_INFINITY,\n });\n}\n\nexport function getBoundingBoxPoints(keypoints) {\n const { minX, minY, maxX, maxY } = getBoundingBox(keypoints);\n return [{ x: minX, y: minY }, { x: maxX, y: minY }, { x: maxX, y: maxY }, { x: minX, y: maxY }];\n}\n\nexport async function toTensorBuffers3D(tensors) {\n return Promise.all(tensors.map((tensor) => tensor.buffer()));\n}\n\nexport function scalePose(pose, scaleY, scaleX) {\n return {\n score: pose.score,\n keypoints: pose.keypoints.map(({ score, part, position }) => ({\n score,\n part,\n position: { x: position.x * scaleX, y: position.y * scaleY },\n })),\n };\n}\n\nexport function resizeTo(image, [targetH, targetW]) {\n const input = image.squeeze(0);\n const resized = input.resizeBilinear([targetH, targetW]);\n input.dispose();\n return resized;\n}\n\nexport function scaleAndFlipPoses(poses, [height, width], [inputResolutionHeight, inputResolutionWidth]) {\n const scaledPoses = poses.map((pose) => scalePose(pose, height / inputResolutionHeight, width / inputResolutionWidth));\n return scaledPoses;\n}\n", "// https://storage.googleapis.com/tfjs-models/demos/handpose/index.html\n\nimport { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as handdetector from './handdetector';\nimport * as handpipeline from './handpipeline';\nimport * as anchors from './anchors';\n\nconst MESH_ANNOTATIONS = {\n thumb: [1, 2, 3, 4],\n indexFinger: [5, 6, 7, 8],\n middleFinger: [9, 10, 11, 12],\n ringFinger: [13, 14, 15, 16],\n pinky: [17, 18, 19, 20],\n palmBase: [0],\n};\n\nexport class HandPose {\n handPipeline: any;\n\n constructor(handPipeline) {\n this.handPipeline = handPipeline;\n }\n\n static getAnnotations() {\n return MESH_ANNOTATIONS;\n }\n\n async estimateHands(input, config) {\n const predictions = await this.handPipeline.estimateHands(input, config);\n if (!predictions) return [];\n const hands: Array<{ confidence: number, box: any, landmarks: any, annotations: any }> = [];\n for (const prediction of predictions) {\n const annotations = {};\n if (prediction.landmarks) {\n for (const key of Object.keys(MESH_ANNOTATIONS)) {\n annotations[key] = MESH_ANNOTATIONS[key].map((index) => prediction.landmarks[index]);\n }\n }\n const box = prediction.box ? [\n Math.max(0, prediction.box.topLeft[0]),\n Math.max(0, prediction.box.topLeft[1]),\n Math.min(input.shape[2], prediction.box.bottomRight[0]) - prediction.box.topLeft[0],\n Math.min(input.shape[1], prediction.box.bottomRight[1]) - prediction.box.topLeft[1],\n ] : 0;\n hands.push({ confidence: prediction.confidence, box, landmarks: prediction.landmarks, annotations });\n }\n return hands;\n }\n}\n\nexport async function load(config) {\n const [handDetectorModel, handPoseModel] = await Promise.all([\n config.hand.enabled ? tf.loadGraphModel(config.hand.detector.modelPath, { fromTFHub: config.hand.detector.modelPath.includes('tfhub.dev') }) : null,\n config.hand.landmarks ? tf.loadGraphModel(config.hand.skeleton.modelPath, { fromTFHub: config.hand.skeleton.modelPath.includes('tfhub.dev') }) : null,\n ]);\n const handDetector = new handdetector.HandDetector(handDetectorModel, config.hand.inputSize, anchors.anchors);\n const handPipeline = new handpipeline.HandPipeline(handDetector, handPoseModel, config.hand.inputSize);\n const handPose = new HandPose(handPipeline);\n if (config.hand.enabled) log(`load model: ${config.hand.detector.modelPath.match(/\\/(.*)\\./)[1]}`);\n if (config.hand.landmarks) log(`load model: ${config.hand.skeleton.modelPath.match(/\\/(.*)\\./)[1]}`);\n return handPose;\n}\n", "import * as tf from '../../dist/tfjs.esm.js';\n\nexport function getBoxSize(box) {\n return [\n Math.abs(box.endPoint[0] - box.startPoint[0]),\n Math.abs(box.endPoint[1] - box.startPoint[1]),\n ];\n}\n\nexport function getBoxCenter(box) {\n return [\n box.startPoint[0] + (box.endPoint[0] - box.startPoint[0]) / 2,\n box.startPoint[1] + (box.endPoint[1] - box.startPoint[1]) / 2,\n ];\n}\n\nexport function cutBoxFromImageAndResize(box, image, cropSize) {\n const h = image.shape[1];\n const w = image.shape[2];\n const boxes = [[\n box.startPoint[1] / h,\n box.startPoint[0] / w,\n box.endPoint[1] / h,\n box.endPoint[0] / w,\n ]];\n return tf.image.cropAndResize(image, boxes, [0], cropSize);\n}\n\nexport function scaleBoxCoordinates(box, factor) {\n const startPoint = [box.startPoint[0] * factor[0], box.startPoint[1] * factor[1]];\n const endPoint = [box.endPoint[0] * factor[0], box.endPoint[1] * factor[1]];\n const palmLandmarks = box.palmLandmarks.map((coord) => {\n const scaledCoord = [coord[0] * factor[0], coord[1] * factor[1]];\n return scaledCoord;\n });\n return { startPoint, endPoint, palmLandmarks, confidence: box.confidence };\n}\n\nexport function enlargeBox(box, factor = 1.5) {\n const center = getBoxCenter(box);\n const size = getBoxSize(box);\n const newHalfSize = [factor * size[0] / 2, factor * size[1] / 2];\n const startPoint = [center[0] - newHalfSize[0], center[1] - newHalfSize[1]];\n const endPoint = [center[0] + newHalfSize[0], center[1] + newHalfSize[1]];\n return { startPoint, endPoint, palmLandmarks: box.palmLandmarks };\n}\n\nexport function squarifyBox(box) {\n const centers = getBoxCenter(box);\n const size = getBoxSize(box);\n const maxEdge = Math.max(...size);\n const halfSize = maxEdge / 2;\n const startPoint = [centers[0] - halfSize, centers[1] - halfSize];\n const endPoint = [centers[0] + halfSize, centers[1] + halfSize];\n return { startPoint, endPoint, palmLandmarks: box.palmLandmarks };\n}\n\nexport function shiftBox(box, shiftFactor) {\n const boxSize = [\n box.endPoint[0] - box.startPoint[0],\n box.endPoint[1] - box.startPoint[1],\n ];\n const shiftVector = [boxSize[0] * shiftFactor[0], boxSize[1] * shiftFactor[1]];\n const startPoint = [box.startPoint[0] + shiftVector[0], box.startPoint[1] + shiftVector[1]];\n const endPoint = [box.endPoint[0] + shiftVector[0], box.endPoint[1] + shiftVector[1]];\n return { startPoint, endPoint, palmLandmarks: box.palmLandmarks };\n}\n", "import * as tf from '../../dist/tfjs.esm.js';\nimport * as box from './box';\n\nexport class HandDetector {\n model: any;\n anchors: any;\n anchorsTensor: any;\n inputSizeTensor: any;\n doubleInputSizeTensor: any;\n\n constructor(model, inputSize, anchorsAnnotated) {\n this.model = model;\n this.anchors = anchorsAnnotated.map((anchor) => [anchor.x_center, anchor.y_center]);\n this.anchorsTensor = tf.tensor2d(this.anchors);\n this.inputSizeTensor = tf.tensor1d([inputSize, inputSize]);\n this.doubleInputSizeTensor = tf.tensor1d([inputSize * 2, inputSize * 2]);\n }\n\n normalizeBoxes(boxes) {\n return tf.tidy(() => {\n const boxOffsets = tf.slice(boxes, [0, 0], [-1, 2]);\n const boxSizes = tf.slice(boxes, [0, 2], [-1, 2]);\n const boxCenterPoints = tf.add(tf.div(boxOffsets, this.inputSizeTensor), this.anchorsTensor);\n const halfBoxSizes = tf.div(boxSizes, this.doubleInputSizeTensor);\n const startPoints = tf.mul(tf.sub(boxCenterPoints, halfBoxSizes), this.inputSizeTensor);\n const endPoints = tf.mul(tf.add(boxCenterPoints, halfBoxSizes), this.inputSizeTensor);\n return tf.concat2d([startPoints, endPoints], 1);\n });\n }\n\n normalizeLandmarks(rawPalmLandmarks, index) {\n return tf.tidy(() => {\n const landmarks = tf.add(tf.div(rawPalmLandmarks.reshape([-1, 7, 2]), this.inputSizeTensor), this.anchors[index]);\n return tf.mul(landmarks, this.inputSizeTensor);\n });\n }\n\n async getBoxes(input, config) {\n const batched = this.model.predict(input);\n const predictions = batched.squeeze();\n batched.dispose();\n const scoresT = tf.tidy(() => tf.sigmoid(tf.slice(predictions, [0, 0], [-1, 1])).squeeze());\n const scores = scoresT.dataSync();\n const rawBoxes = tf.slice(predictions, [0, 1], [-1, 4]);\n const boxes = this.normalizeBoxes(rawBoxes);\n rawBoxes.dispose();\n const filteredT = await tf.image.nonMaxSuppressionAsync(boxes, scores, config.hand.maxHands, config.hand.iouThreshold, config.hand.scoreThreshold);\n const filtered = filteredT.arraySync();\n\n scoresT.dispose();\n filteredT.dispose();\n const hands: Array<{ box: any, palmLandmarks: any, confidence: number }> = [];\n for (const index of filtered) {\n if (scores[index] >= config.hand.minConfidence) {\n const matchingBox = tf.slice(boxes, [index, 0], [1, -1]);\n const rawPalmLandmarks = tf.slice(predictions, [index, 5], [1, 14]);\n const palmLandmarks = tf.tidy(() => this.normalizeLandmarks(rawPalmLandmarks, index).reshape([-1, 2]));\n rawPalmLandmarks.dispose();\n hands.push({ box: matchingBox, palmLandmarks, confidence: scores[index] });\n }\n }\n predictions.dispose();\n boxes.dispose();\n return hands;\n }\n\n async estimateHandBounds(input, config) {\n const inputHeight = input.shape[1];\n const inputWidth = input.shape[2];\n const image = tf.tidy(() => input.resizeBilinear([config.hand.inputSize, config.hand.inputSize]).div(127.5).sub(1));\n const predictions = await this.getBoxes(image, config);\n image.dispose();\n const hands: Array<{}> = [];\n if (!predictions || predictions.length === 0) return hands;\n for (const prediction of predictions) {\n const boxes = prediction.box.dataSync();\n const startPoint = boxes.slice(0, 2);\n const endPoint = boxes.slice(2, 4);\n const palmLandmarks = prediction.palmLandmarks.arraySync();\n prediction.box.dispose();\n prediction.palmLandmarks.dispose();\n hands.push(box.scaleBoxCoordinates({ startPoint, endPoint, palmLandmarks, confidence: prediction.confidence }, [inputWidth / config.hand.inputSize, inputHeight / config.hand.inputSize]));\n }\n return hands;\n }\n}\n", "export function normalizeRadians(angle) {\n return angle - 2 * Math.PI * Math.floor((angle + Math.PI) / (2 * Math.PI));\n}\n\nexport function computeRotation(point1, point2) {\n const radians = Math.PI / 2 - Math.atan2(-(point2[1] - point1[1]), point2[0] - point1[0]);\n return normalizeRadians(radians);\n}\n\nexport const buildTranslationMatrix = (x, y) => [[1, 0, x], [0, 1, y], [0, 0, 1]];\n\nexport function dot(v1, v2) {\n let product = 0;\n for (let i = 0; i < v1.length; i++) {\n product += v1[i] * v2[i];\n }\n return product;\n}\n\nexport function getColumnFrom2DArr(arr, columnIndex) {\n const column: Array = [];\n for (let i = 0; i < arr.length; i++) {\n column.push(arr[i][columnIndex]);\n }\n return column;\n}\n\nexport function multiplyTransformMatrices(mat1, mat2) {\n const product: Array = [];\n const size = mat1.length;\n for (let row = 0; row < size; row++) {\n product.push([]);\n for (let col = 0; col < size; col++) {\n product[row].push(dot(mat1[row], getColumnFrom2DArr(mat2, col)));\n }\n }\n return product;\n}\n\nexport function buildRotationMatrix(rotation, center) {\n const cosA = Math.cos(rotation);\n const sinA = Math.sin(rotation);\n const rotationMatrix = [[cosA, -sinA, 0], [sinA, cosA, 0], [0, 0, 1]];\n const translationMatrix = buildTranslationMatrix(center[0], center[1]);\n const translationTimesRotation = multiplyTransformMatrices(translationMatrix, rotationMatrix);\n const negativeTranslationMatrix = buildTranslationMatrix(-center[0], -center[1]);\n return multiplyTransformMatrices(translationTimesRotation, negativeTranslationMatrix);\n}\n\nexport function invertTransformMatrix(matrix) {\n const rotationComponent = [[matrix[0][0], matrix[1][0]], [matrix[0][1], matrix[1][1]]];\n const translationComponent = [matrix[0][2], matrix[1][2]];\n const invertedTranslation = [\n -dot(rotationComponent[0], translationComponent),\n -dot(rotationComponent[1], translationComponent),\n ];\n return [\n rotationComponent[0].concat(invertedTranslation[0]),\n rotationComponent[1].concat(invertedTranslation[1]),\n [0, 0, 1],\n ];\n}\n\nexport function rotatePoint(homogeneousCoordinate, rotationMatrix) {\n return [\n dot(homogeneousCoordinate, rotationMatrix[0]),\n dot(homogeneousCoordinate, rotationMatrix[1]),\n ];\n}\n", "import * as tf from '../../dist/tfjs.esm.js';\nimport * as box from './box';\nimport * as util from './util';\n\n// const PALM_BOX_SHIFT_VECTOR = [0, -0.4];\nconst PALM_BOX_ENLARGE_FACTOR = 5; // default 3\n// const HAND_BOX_SHIFT_VECTOR = [0, -0.1]; // move detected hand box by x,y to ease landmark detection\nconst HAND_BOX_ENLARGE_FACTOR = 1.65; // default 1.65\nconst PALM_LANDMARK_IDS = [0, 5, 9, 13, 17, 1, 2];\nconst PALM_LANDMARKS_INDEX_OF_PALM_BASE = 0;\nconst PALM_LANDMARKS_INDEX_OF_MIDDLE_FINGER_BASE = 2;\n\nexport class HandPipeline {\n handDetector: any;\n landmarkDetector: any;\n inputSize: number;\n storedBoxes: any;\n skipped: number;\n detectedHands: number;\n\n constructor(handDetector, landmarkDetector, inputSize) {\n this.handDetector = handDetector;\n this.landmarkDetector = landmarkDetector;\n this.inputSize = inputSize;\n this.storedBoxes = [];\n this.skipped = 0;\n this.detectedHands = 0;\n }\n\n getBoxForPalmLandmarks(palmLandmarks, rotationMatrix) {\n const rotatedPalmLandmarks = palmLandmarks.map((coord) => util.rotatePoint([...coord, 1], rotationMatrix));\n const boxAroundPalm = this.calculateLandmarksBoundingBox(rotatedPalmLandmarks);\n // return box.enlargeBox(box.squarifyBox(box.shiftBox(boxAroundPalm, PALM_BOX_SHIFT_VECTOR)), PALM_BOX_ENLARGE_FACTOR);\n return box.enlargeBox(box.squarifyBox(boxAroundPalm), PALM_BOX_ENLARGE_FACTOR);\n }\n\n getBoxForHandLandmarks(landmarks) {\n const boundingBox = this.calculateLandmarksBoundingBox(landmarks);\n // const boxAroundHand = box.enlargeBox(box.squarifyBox(box.shiftBox(boundingBox, HAND_BOX_SHIFT_VECTOR)), HAND_BOX_ENLARGE_FACTOR);\n const boxAroundHand = box.enlargeBox(box.squarifyBox(boundingBox), HAND_BOX_ENLARGE_FACTOR);\n boxAroundHand.palmLandmarks = [];\n for (let i = 0; i < PALM_LANDMARK_IDS.length; i++) {\n boxAroundHand.palmLandmarks.push(landmarks[PALM_LANDMARK_IDS[i]].slice(0, 2));\n }\n return boxAroundHand;\n }\n\n transformRawCoords(rawCoords, box2, angle, rotationMatrix) {\n const boxSize = box.getBoxSize(box2);\n const scaleFactor = [boxSize[0] / this.inputSize, boxSize[1] / this.inputSize, (boxSize[0] + boxSize[1]) / this.inputSize / 2];\n const coordsScaled = rawCoords.map((coord) => [\n scaleFactor[0] * (coord[0] - this.inputSize / 2),\n scaleFactor[1] * (coord[1] - this.inputSize / 2),\n scaleFactor[2] * coord[2],\n ]);\n const coordsRotationMatrix = util.buildRotationMatrix(angle, [0, 0]);\n const coordsRotated = coordsScaled.map((coord) => {\n const rotated = util.rotatePoint(coord, coordsRotationMatrix);\n return [...rotated, coord[2]];\n });\n const inverseRotationMatrix = util.invertTransformMatrix(rotationMatrix);\n const boxCenter = [...box.getBoxCenter(box2), 1];\n const originalBoxCenter = [\n util.dot(boxCenter, inverseRotationMatrix[0]),\n util.dot(boxCenter, inverseRotationMatrix[1]),\n ];\n return coordsRotated.map((coord) => [\n coord[0] + originalBoxCenter[0],\n coord[1] + originalBoxCenter[1],\n coord[2],\n ]);\n }\n\n async estimateHands(image, config) {\n let useFreshBox = false;\n\n // run new detector every skipFrames unless we only want box to start with\n let boxes;\n if ((this.skipped === 0) || (this.skipped > config.hand.skipFrames) || !config.hand.landmarks || !config.videoOptimized) {\n boxes = await this.handDetector.estimateHandBounds(image, config);\n this.skipped = 0;\n }\n if (config.videoOptimized) this.skipped++;\n\n // if detector result count doesn't match current working set, use it to reset current working set\n if (boxes && (boxes.length > 0) && ((boxes.length !== this.detectedHands) && (this.detectedHands !== config.hand.maxHands) || !config.hand.landmarks)) {\n this.detectedHands = 0;\n this.storedBoxes = [...boxes];\n // for (const possible of boxes) this.storedBoxes.push(possible);\n if (this.storedBoxes.length > 0) useFreshBox = true;\n }\n const hands: Array<{}> = [];\n // log('hand', `skipped: ${this.skipped} max: ${config.hand.maxHands} detected: ${this.detectedHands} stored: ${this.storedBoxes.length} new: ${boxes?.length}`);\n\n // go through working set of boxes\n for (let i = 0; i < this.storedBoxes.length; i++) {\n const currentBox = this.storedBoxes[i];\n if (!currentBox) continue;\n if (config.hand.landmarks) {\n const angle = config.hand.rotation ? util.computeRotation(currentBox.palmLandmarks[PALM_LANDMARKS_INDEX_OF_PALM_BASE], currentBox.palmLandmarks[PALM_LANDMARKS_INDEX_OF_MIDDLE_FINGER_BASE]) : 0;\n const palmCenter = box.getBoxCenter(currentBox);\n const palmCenterNormalized = [palmCenter[0] / image.shape[2], palmCenter[1] / image.shape[1]];\n const rotatedImage = config.hand.rotation ? tf.image.rotateWithOffset(image, angle, 0, palmCenterNormalized) : image.clone();\n const rotationMatrix = util.buildRotationMatrix(-angle, palmCenter);\n const newBox = useFreshBox ? this.getBoxForPalmLandmarks(currentBox.palmLandmarks, rotationMatrix) : currentBox;\n const croppedInput = box.cutBoxFromImageAndResize(newBox, rotatedImage, [this.inputSize, this.inputSize]);\n const handImage = croppedInput.div(255);\n croppedInput.dispose();\n rotatedImage.dispose();\n const [confidenceT, keypoints] = await this.landmarkDetector.predict(handImage);\n handImage.dispose();\n const confidence = confidenceT.dataSync()[0];\n confidenceT.dispose();\n if (confidence >= config.hand.minConfidence) {\n const keypointsReshaped = tf.reshape(keypoints, [-1, 3]);\n const rawCoords = keypointsReshaped.arraySync();\n keypoints.dispose();\n keypointsReshaped.dispose();\n const coords = this.transformRawCoords(rawCoords, newBox, angle, rotationMatrix);\n const nextBoundingBox = this.getBoxForHandLandmarks(coords);\n this.storedBoxes[i] = nextBoundingBox;\n const result = {\n landmarks: coords,\n confidence,\n box: { topLeft: nextBoundingBox.startPoint, bottomRight: nextBoundingBox.endPoint },\n };\n hands.push(result);\n } else {\n this.storedBoxes[i] = null;\n }\n keypoints.dispose();\n } else {\n // const enlarged = box.enlargeBox(box.squarifyBox(box.shiftBox(currentBox, HAND_BOX_SHIFT_VECTOR)), HAND_BOX_ENLARGE_FACTOR);\n const enlarged = box.enlargeBox(box.squarifyBox(currentBox), HAND_BOX_ENLARGE_FACTOR);\n const result = {\n confidence: currentBox.confidence,\n box: { topLeft: enlarged.startPoint, bottomRight: enlarged.endPoint },\n };\n hands.push(result);\n }\n }\n this.storedBoxes = this.storedBoxes.filter((a) => a !== null);\n this.detectedHands = hands.length;\n return hands;\n }\n\n // eslint-disable-next-line class-methods-use-this\n calculateLandmarksBoundingBox(landmarks) {\n const xs = landmarks.map((d) => d[0]);\n const ys = landmarks.map((d) => d[1]);\n const startPoint = [Math.min(...xs), Math.min(...ys)];\n const endPoint = [Math.max(...xs), Math.max(...ys)];\n return { startPoint, endPoint };\n }\n}\n", "export const anchors = [\n {\n w: 1,\n h: 1,\n x_center: 0.015625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.015625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.046875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.046875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.078125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.078125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.109375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.109375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.140625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.140625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.171875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.171875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.203125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.203125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.234375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.234375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.265625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.265625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.296875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.296875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.328125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.328125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.359375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.359375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.390625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.390625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.421875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.421875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.453125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.453125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.484375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.484375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.515625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.515625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.546875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.546875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.578125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.578125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.609375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.609375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.640625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.640625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.671875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.671875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.703125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.703125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.734375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.734375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.765625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.765625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.796875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.796875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.828125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.828125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.859375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.859375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.890625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.890625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.921875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.921875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.953125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.953125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.984375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.984375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.015625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.015625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.046875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.046875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.078125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.078125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.109375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.109375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.140625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.140625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.171875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.171875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.203125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.203125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.234375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.234375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.265625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.265625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.296875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.296875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.328125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.328125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.359375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.359375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.390625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.390625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.421875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.421875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.453125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.453125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.484375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.484375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.515625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.515625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.546875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.546875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.578125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.578125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.609375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.609375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.640625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.640625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.671875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.671875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.703125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.703125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.734375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.734375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.765625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.765625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.796875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.796875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.828125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.828125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.859375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.859375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.890625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.890625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.921875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.921875,\n 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x_center: 0.0625,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.9375,\n },\n];\n", "export const body = (res) => {\n if (!res) return [];\n const gestures: Array<{ body: number, gesture: string }> = [];\n for (let i = 0; i < res.length; i++) {\n // raising hands\n const leftWrist = res[i].keypoints.find((a) => (a.part === 'leftWrist'));\n const rightWrist = res[i].keypoints.find((a) => (a.part === 'rightWrist'));\n const nose = res[i].keypoints.find((a) => (a.part === 'nose'));\n if (nose && leftWrist && rightWrist && (leftWrist.position.y < nose.position.y) && (rightWrist.position.y < nose.position.y)) gestures.push({ body: i, gesture: 'i give up' });\n else if (nose && leftWrist && (leftWrist.position.y < nose.position.y)) gestures.push({ body: i, gesture: 'raise left hand' });\n else if (nose && rightWrist && (rightWrist.position.y < nose.position.y)) gestures.push({ body: i, gesture: 'raise right hand' });\n\n // leaning\n const leftShoulder = res[i].keypoints.find((a) => (a.part === 'leftShoulder'));\n const rightShoulder = res[i].keypoints.find((a) => (a.part === 'rightShoulder'));\n if (leftShoulder && rightShoulder) gestures.push({ body: i, gesture: `leaning ${(leftShoulder.position.y > rightShoulder.position.y) ? 'left' : 'right'}` });\n }\n return gestures;\n};\n\nexport const face = (res) => {\n if (!res) return [];\n const gestures: Array<{ face: number, gesture: string }> = [];\n for (let i = 0; i < res.length; i++) {\n if (res[i].mesh && res[i].mesh.length > 0) {\n const eyeFacing = res[i].mesh[35][2] - res[i].mesh[263][2];\n if (Math.abs(eyeFacing) < 10) gestures.push({ face: i, gesture: 'facing camera' });\n else gestures.push({ face: i, gesture: `facing ${eyeFacing < 0 ? 'right' : 'left'}` });\n const openLeft = Math.abs(res[i].mesh[374][1] - res[i].mesh[386][1]) / Math.abs(res[i].mesh[443][1] - res[i].mesh[450][1]); // center of eye inner lid y coord div center of wider eye border y coord\n if (openLeft < 0.2) gestures.push({ face: i, gesture: 'blink left eye' });\n const openRight = Math.abs(res[i].mesh[145][1] - res[i].mesh[159][1]) / Math.abs(res[i].mesh[223][1] - res[i].mesh[230][1]); // center of eye inner lid y coord div center of wider eye border y coord\n if (openRight < 0.2) gestures.push({ face: i, gesture: 'blink right eye' });\n const mouthOpen = Math.min(100, 500 * Math.abs(res[i].mesh[13][1] - res[i].mesh[14][1]) / Math.abs(res[i].mesh[10][1] - res[i].mesh[152][1]));\n if (mouthOpen > 10) gestures.push({ face: i, gesture: `mouth ${Math.trunc(mouthOpen)}% open` });\n const chinDepth = res[i].mesh[152][2];\n if (Math.abs(chinDepth) > 10) gestures.push({ face: i, gesture: `head ${chinDepth < 0 ? 'up' : 'down'}` });\n }\n }\n return gestures;\n};\n\nexport const iris = (res) => {\n if (!res) return [];\n const gestures: Array<{ iris: number, gesture: string }> = [];\n for (let i = 0; i < res.length; i++) {\n if (!res[i].annotations || !res[i].annotations.leftEyeIris || !res[i].annotations.rightEyeIris) continue;\n const sizeXLeft = res[i].annotations.leftEyeIris[3][0] - res[i].annotations.leftEyeIris[1][0];\n const sizeYLeft = res[i].annotations.leftEyeIris[4][1] - res[i].annotations.leftEyeIris[2][1];\n const areaLeft = Math.abs(sizeXLeft * sizeYLeft);\n\n const sizeXRight = res[i].annotations.rightEyeIris[3][0] - res[i].annotations.rightEyeIris[1][0];\n const sizeYRight = res[i].annotations.rightEyeIris[4][1] - res[i].annotations.rightEyeIris[2][1];\n const areaRight = Math.abs(sizeXRight * sizeYRight);\n\n const difference = Math.abs(areaLeft - areaRight) / Math.max(areaLeft, areaRight);\n if (difference < 0.25) gestures.push({ iris: i, gesture: 'looking at camera' });\n }\n return gestures;\n};\n\nexport const hand = (res) => {\n if (!res) return [];\n const gestures: Array<{ hand: number, gesture: string }> = [];\n for (let i = 0; i < res.length; i++) {\n const fingers: Array<{ name: string, position: number }> = [];\n for (const [finger, pos] of Object.entries(res[i]['annotations'])) {\n // @ts-ignore\n if (finger !== 'palmBase') fingers.push({ name: finger.toLowerCase(), position: pos[0] }); // get tip of each finger\n }\n if (fingers && fingers.length > 0) {\n const closest = fingers.reduce((best, a) => (best.position[2] < a.position[2] ? best : a));\n const highest = fingers.reduce((best, a) => (best.position[1] < a.position[1] ? best : a));\n gestures.push({ hand: i, gesture: `${closest.name} forward ${highest.name} up` });\n }\n }\n return gestures;\n};\n", "/*\nWebGLImageFilter - MIT Licensed\n2013, Dominic Szablewski - phoboslab.org\n\n*/\n\nfunction GLProgram(gl, vertexSource, fragmentSource) {\n const _collect = function (source, prefix, collection) {\n const r = new RegExp('\\\\b' + prefix + ' \\\\w+ (\\\\w+)', 'ig');\n source.replace(r, (match, name) => {\n collection[name] = 0;\n return match;\n });\n };\n\n const _compile = function (source, type) {\n const shader = gl.createShader(type);\n gl.shaderSource(shader, source);\n gl.compileShader(shader);\n if (!gl.getShaderParameter(shader, gl.COMPILE_STATUS)) {\n // @ts-ignore\n throw new Error('Filter: GL compile failed', gl.getShaderInfoLog(shader));\n }\n return shader;\n };\n\n this.uniform = {};\n this.attribute = {};\n const _vsh = _compile(vertexSource, gl.VERTEX_SHADER);\n const _fsh = _compile(fragmentSource, gl.FRAGMENT_SHADER);\n this.id = gl.createProgram();\n gl.attachShader(this.id, _vsh);\n gl.attachShader(this.id, _fsh);\n gl.linkProgram(this.id);\n\n if (!gl.getProgramParameter(this.id, gl.LINK_STATUS)) {\n // @ts-ignore\n throw new Error('Filter: GL link failed', gl.getProgramInfoLog(this.id));\n }\n\n gl.useProgram(this.id);\n // Collect attributes\n _collect(vertexSource, 'attribute', this.attribute);\n for (const a in this.attribute) this.attribute[a] = gl.getAttribLocation(this.id, a);\n // Collect uniforms\n _collect(vertexSource, 'uniform', this.uniform);\n _collect(fragmentSource, 'uniform', this.uniform);\n for (const u in this.uniform) this.uniform[u] = gl.getUniformLocation(this.id, u);\n}\n\n// export const GLImageFilter = function (params) {\nexport function GLImageFilter(params) {\n if (!params) params = { };\n let _drawCount = 0;\n let _sourceTexture = null;\n let _lastInChain = false;\n let _currentFramebufferIndex = -1;\n let _tempFramebuffers = [null, null];\n let _filterChain = [];\n let _width = -1;\n let _height = -1;\n let _vertexBuffer = null;\n let _currentProgram = null;\n const _filter = {};\n const _canvas = params.canvas || document.createElement('canvas');\n // key is the shader program source, value is the compiled program\n const _shaderProgramCache = { };\n const DRAW = { INTERMEDIATE: 1 };\n const gl = _canvas.getContext('webgl');\n if (!gl) throw new Error('Filter: getContext() failed');\n\n this.addFilter = function (name) {\n // eslint-disable-next-line prefer-rest-params\n const args = Array.prototype.slice.call(arguments, 1);\n const filter = _filter[name];\n _filterChain.push({ func: filter, args });\n };\n\n this.reset = function () {\n _filterChain = [];\n };\n\n const _resize = function (width, height) {\n // Same width/height? Nothing to do here\n if (width === _width && height === _height) { return; }\n _canvas.width = width;\n _width = width;\n _canvas.height = height;\n _height = height;\n // Create the context if we don't have it yet\n if (!_vertexBuffer) {\n // Create the vertex buffer for the two triangles [x, y, u, v] * 6\n const vertices = new Float32Array([\n -1, -1, 0, 1, 1, -1, 1, 1, -1, 1, 0, 0,\n -1, 1, 0, 0, 1, -1, 1, 1, 1, 1, 1, 0,\n ]);\n // eslint-disable-next-line no-unused-expressions\n (_vertexBuffer = gl.createBuffer(), gl.bindBuffer(gl.ARRAY_BUFFER, _vertexBuffer));\n gl.bufferData(gl.ARRAY_BUFFER, vertices, gl.STATIC_DRAW);\n gl.pixelStorei(gl.UNPACK_PREMULTIPLY_ALPHA_WEBGL, true);\n }\n gl.viewport(0, 0, _width, _height);\n // Delete old temp framebuffers\n _tempFramebuffers = [null, null];\n };\n\n const _createFramebufferTexture = function (width, height) {\n const fbo = gl.createFramebuffer();\n gl.bindFramebuffer(gl.FRAMEBUFFER, fbo);\n const renderbuffer = gl.createRenderbuffer();\n gl.bindRenderbuffer(gl.RENDERBUFFER, renderbuffer);\n const texture = gl.createTexture();\n gl.bindTexture(gl.TEXTURE_2D, texture);\n gl.texImage2D(gl.TEXTURE_2D, 0, gl.RGBA, width, height, 0, gl.RGBA, gl.UNSIGNED_BYTE, null);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MAG_FILTER, gl.LINEAR);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MIN_FILTER, gl.LINEAR);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_S, gl.CLAMP_TO_EDGE);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_T, gl.CLAMP_TO_EDGE);\n gl.framebufferTexture2D(gl.FRAMEBUFFER, gl.COLOR_ATTACHMENT0, gl.TEXTURE_2D, texture, 0);\n gl.bindTexture(gl.TEXTURE_2D, null);\n gl.bindFramebuffer(gl.FRAMEBUFFER, null);\n return { fbo, texture };\n };\n\n const _getTempFramebuffer = function (index) {\n // @ts-ignore\n _tempFramebuffers[index] = _tempFramebuffers[index] || _createFramebufferTexture(_width, _height);\n return _tempFramebuffers[index];\n };\n\n const _draw = function (flags = null) {\n let source = null;\n let target = null;\n let flipY = false;\n // Set up the source\n if (_drawCount === 0) {\n // First draw call - use the source texture\n source = _sourceTexture;\n } else {\n // All following draw calls use the temp buffer last drawn to\n // @ts-ignore\n source = _getTempFramebuffer(_currentFramebufferIndex)?.texture;\n }\n _drawCount++;\n // Set up the target\n if (_lastInChain && !(flags & DRAW.INTERMEDIATE)) {\n // Last filter in our chain - draw directly to the WebGL Canvas. We may\n // also have to flip the image vertically now\n target = null;\n flipY = _drawCount % 2 === 0;\n } else {\n // Intermediate draw call - get a temp buffer to draw to\n _currentFramebufferIndex = (_currentFramebufferIndex + 1) % 2;\n // @ts-ignore\n target = _getTempFramebuffer(_currentFramebufferIndex)?.fbo;\n }\n // Bind the source and target and draw the two triangles\n gl.bindTexture(gl.TEXTURE_2D, source);\n gl.bindFramebuffer(gl.FRAMEBUFFER, target);\n gl.uniform1f(_currentProgram.uniform.flipY, (flipY ? -1 : 1));\n gl.drawArrays(gl.TRIANGLES, 0, 6);\n };\n\n this.apply = function (image) {\n _resize(image.width, image.height);\n _drawCount = 0;\n // Create the texture for the input image if we haven't yet\n if (!_sourceTexture) _sourceTexture = gl.createTexture();\n gl.bindTexture(gl.TEXTURE_2D, _sourceTexture);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_S, gl.CLAMP_TO_EDGE);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_T, gl.CLAMP_TO_EDGE);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MIN_FILTER, gl.NEAREST);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MAG_FILTER, gl.NEAREST);\n gl.texImage2D(gl.TEXTURE_2D, 0, gl.RGBA, gl.RGBA, gl.UNSIGNED_BYTE, image);\n // No filters? Just draw\n if (_filterChain.length === 0) {\n // const program = _compileShader(SHADER.FRAGMENT_IDENTITY);\n _draw();\n return _canvas;\n }\n for (let i = 0; i < _filterChain.length; i++) {\n _lastInChain = (i === _filterChain.length - 1);\n const f = _filterChain[i];\n f.func.apply(this, f.args || []);\n }\n return _canvas;\n };\n\n const _compileShader = function (fragmentSource) {\n if (_shaderProgramCache[fragmentSource]) {\n _currentProgram = _shaderProgramCache[fragmentSource];\n gl.useProgram(_currentProgram.id);\n return _currentProgram;\n }\n // Compile shaders\n const SHADER = {};\n SHADER.VERTEX_IDENTITY = [\n 'precision highp float;',\n 'attribute vec2 pos;',\n 'attribute vec2 uv;',\n 'varying vec2 vUv;',\n 'uniform float flipY;',\n 'void main(void) {',\n 'vUv = uv;',\n 'gl_Position = vec4(pos.x, pos.y*flipY, 0.0, 1.);',\n '}',\n ].join('\\n');\n SHADER.FRAGMENT_IDENTITY = [\n 'precision highp float;',\n 'varying vec2 vUv;',\n 'uniform sampler2D texture;',\n 'void main(void) {',\n 'gl_FragColor = texture2D(texture, vUv);',\n '}',\n ].join('\\n');\n _currentProgram = new GLProgram(gl, SHADER.VERTEX_IDENTITY, fragmentSource);\n const floatSize = Float32Array.BYTES_PER_ELEMENT;\n const vertSize = 4 * floatSize;\n gl.enableVertexAttribArray(_currentProgram.attribute.pos);\n gl.vertexAttribPointer(_currentProgram.attribute.pos, 2, gl.FLOAT, false, vertSize, 0 * floatSize);\n gl.enableVertexAttribArray(_currentProgram.attribute.uv);\n gl.vertexAttribPointer(_currentProgram.attribute.uv, 2, gl.FLOAT, false, vertSize, 2 * floatSize);\n _shaderProgramCache[fragmentSource] = _currentProgram;\n return _currentProgram;\n };\n\n // -------------------------------------------------------------------------\n // Color Matrix Filter\n _filter.colorMatrix = function (matrix) {\n // Create a Float32 Array and normalize the offset component to 0-1\n const m = new Float32Array(matrix);\n m[4] /= 255;\n m[9] /= 255;\n m[14] /= 255;\n m[19] /= 255;\n // Can we ignore the alpha value? Makes things a bit faster.\n const shader = (m[18] === 1 && m[3] === 0 && m[8] === 0 && m[13] === 0 && m[15] === 0 && m[16] === 0 && m[17] === 0 && m[19] === 0)\n ? _filter.colorMatrix.SHADER.WITHOUT_ALPHA\n : _filter.colorMatrix.SHADER.WITH_ALPHA;\n const program = _compileShader(shader);\n gl.uniform1fv(program.uniform.m, m);\n _draw();\n };\n _filter.colorMatrix.SHADER = {};\n _filter.colorMatrix.SHADER.WITH_ALPHA = [\n 'precision highp float;',\n 'varying vec2 vUv;',\n 'uniform sampler2D texture;',\n 'uniform float m[20];',\n 'void main(void) {',\n 'vec4 c = texture2D(texture, vUv);',\n 'gl_FragColor.r = m[0] * c.r + m[1] * c.g + m[2] * c.b + m[3] * c.a + m[4];',\n 'gl_FragColor.g = m[5] * c.r + m[6] * c.g + m[7] * c.b + m[8] * c.a + m[9];',\n 'gl_FragColor.b = m[10] * c.r + m[11] * c.g + m[12] * c.b + m[13] * c.a + m[14];',\n 'gl_FragColor.a = m[15] * c.r + m[16] * c.g + m[17] * c.b + m[18] * c.a + m[19];',\n '}',\n ].join('\\n');\n _filter.colorMatrix.SHADER.WITHOUT_ALPHA = [\n 'precision highp float;',\n 'varying vec2 vUv;',\n 'uniform sampler2D texture;',\n 'uniform float m[20];',\n 'void main(void) {',\n 'vec4 c = texture2D(texture, vUv);',\n 'gl_FragColor.r = m[0] * c.r + m[1] * c.g + m[2] * c.b + m[4];',\n 'gl_FragColor.g = m[5] * c.r + m[6] * c.g + m[7] * c.b + m[9];',\n 'gl_FragColor.b = m[10] * c.r + m[11] * c.g + m[12] * c.b + m[14];',\n 'gl_FragColor.a = c.a;',\n '}',\n ].join('\\n');\n\n _filter.brightness = function (brightness) {\n const b = (brightness || 0) + 1;\n _filter.colorMatrix([\n b, 0, 0, 0, 0,\n 0, b, 0, 0, 0,\n 0, 0, b, 0, 0,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.saturation = function (amount) {\n const x = (amount || 0) * 2 / 3 + 1;\n const y = ((x - 1) * -0.5);\n _filter.colorMatrix([\n x, y, y, 0, 0,\n y, x, y, 0, 0,\n y, y, x, 0, 0,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.desaturate = function () {\n _filter.saturation(-1);\n };\n\n _filter.contrast = function (amount) {\n const v = (amount || 0) + 1;\n const o = -128 * (v - 1);\n\n _filter.colorMatrix([\n v, 0, 0, 0, o,\n 0, v, 0, 0, o,\n 0, 0, v, 0, o,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.negative = function () {\n _filter.contrast(-2);\n };\n\n _filter.hue = function (rotation) {\n rotation = (rotation || 0) / 180 * Math.PI;\n const cos = Math.cos(rotation);\n const sin = Math.sin(rotation);\n const lumR = 0.213;\n const lumG = 0.715;\n const lumB = 0.072;\n\n _filter.colorMatrix([\n lumR + cos * (1 - lumR) + sin * (-lumR), lumG + cos * (-lumG) + sin * (-lumG), lumB + cos * (-lumB) + sin * (1 - lumB), 0, 0,\n lumR + cos * (-lumR) + sin * (0.143), lumG + cos * (1 - lumG) + sin * (0.140), lumB + cos * (-lumB) + sin * (-0.283), 0, 0,\n lumR + cos * (-lumR) + sin * (-(1 - lumR)), lumG + cos * (-lumG) + sin * (lumG), lumB + cos * (1 - lumB) + sin * (lumB), 0, 0,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.desaturateLuminance = function () {\n _filter.colorMatrix([\n 0.2764723, 0.9297080, 0.0938197, 0, -37.1,\n 0.2764723, 0.9297080, 0.0938197, 0, -37.1,\n 0.2764723, 0.9297080, 0.0938197, 0, -37.1,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.sepia = function () {\n _filter.colorMatrix([\n 0.393, 0.7689999, 0.18899999, 0, 0,\n 0.349, 0.6859999, 0.16799999, 0, 0,\n 0.272, 0.5339999, 0.13099999, 0, 0,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.brownie = function () {\n _filter.colorMatrix([\n 0.5997023498159715, 0.34553243048391263, -0.2708298674538042, 0, 47.43192855600873,\n -0.037703249837783157, 0.8609577587992641, 0.15059552388459913, 0, -36.96841498319127,\n 0.24113635128153335, -0.07441037908422492, 0.44972182064877153, 0, -7.562075277591283,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.vintagePinhole = function () {\n _filter.colorMatrix([\n 0.6279345635605994, 0.3202183420819367, -0.03965408211312453, 0, 9.651285835294123,\n 0.02578397704808868, 0.6441188644374771, 0.03259127616149294, 0, 7.462829176470591,\n 0.0466055556782719, -0.0851232987247891, 0.5241648018700465, 0, 5.159190588235296,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.kodachrome = function () {\n _filter.colorMatrix([\n 1.1285582396593525, -0.3967382283601348, -0.03992559172921793, 0, 63.72958762196502,\n -0.16404339962244616, 1.0835251566291304, -0.05498805115633132, 0, 24.732407896706203,\n -0.16786010706155763, -0.5603416277695248, 1.6014850761964943, 0, 35.62982807460946,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.technicolor = function () {\n _filter.colorMatrix([\n 1.9125277891456083, -0.8545344976951645, -0.09155508482755585, 0, 11.793603434377337,\n -0.3087833385928097, 1.7658908555458428, -0.10601743074722245, 0, -70.35205161461398,\n -0.231103377548616, -0.7501899197440212, 1.847597816108189, 0, 30.950940869491138,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.polaroid = function () {\n _filter.colorMatrix([\n 1.438, -0.062, -0.062, 0, 0,\n -0.122, 1.378, -0.122, 0, 0,\n -0.016, -0.016, 1.483, 0, 0,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.shiftToBGR = function () {\n _filter.colorMatrix([\n 0, 0, 1, 0, 0,\n 0, 1, 0, 0, 0,\n 1, 0, 0, 0, 0,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n // -------------------------------------------------------------------------\n // Convolution Filter\n _filter.convolution = function (matrix) {\n const m = new Float32Array(matrix);\n const pixelSizeX = 1 / _width;\n const pixelSizeY = 1 / _height;\n const program = _compileShader(_filter.convolution.SHADER);\n gl.uniform1fv(program.uniform.m, m);\n gl.uniform2f(program.uniform.px, pixelSizeX, pixelSizeY);\n _draw();\n };\n\n _filter.convolution.SHADER = [\n 'precision highp float;',\n 'varying vec2 vUv;',\n 'uniform sampler2D texture;',\n 'uniform vec2 px;',\n 'uniform float m[9];',\n 'void main(void) {',\n 'vec4 c11 = texture2D(texture, vUv - px);', // top left\n 'vec4 c12 = texture2D(texture, vec2(vUv.x, vUv.y - px.y));', // top center\n 'vec4 c13 = texture2D(texture, vec2(vUv.x + px.x, vUv.y - px.y));', // top right\n 'vec4 c21 = texture2D(texture, vec2(vUv.x - px.x, vUv.y) );', // mid left\n 'vec4 c22 = texture2D(texture, vUv);', // mid center\n 'vec4 c23 = texture2D(texture, vec2(vUv.x + px.x, vUv.y) );', // mid right\n 'vec4 c31 = texture2D(texture, vec2(vUv.x - px.x, vUv.y + px.y) );', // bottom left\n 'vec4 c32 = texture2D(texture, vec2(vUv.x, vUv.y + px.y) );', // bottom center\n 'vec4 c33 = texture2D(texture, vUv + px );', // bottom right\n 'gl_FragColor = ',\n 'c11 * m[0] + c12 * m[1] + c22 * m[2] +',\n 'c21 * m[3] + c22 * m[4] + c23 * m[5] +',\n 'c31 * m[6] + c32 * m[7] + c33 * m[8];',\n 'gl_FragColor.a = c22.a;',\n '}',\n ].join('\\n');\n\n _filter.detectEdges = function () {\n _filter.convolution.call(this, [\n 0, 1, 0,\n 1, -4, 1,\n 0, 1, 0,\n ]);\n };\n\n _filter.sobelX = function () {\n _filter.convolution.call(this, [\n -1, 0, 1,\n -2, 0, 2,\n -1, 0, 1,\n ]);\n };\n\n _filter.sobelY = function () {\n _filter.convolution.call(this, [\n -1, -2, -1,\n 0, 0, 0,\n 1, 2, 1,\n ]);\n };\n\n _filter.sharpen = function (amount) {\n const a = amount || 1;\n _filter.convolution.call(this, [\n 0, -1 * a, 0,\n -1 * a, 1 + 4 * a, -1 * a,\n 0, -1 * a, 0,\n ]);\n };\n\n _filter.emboss = function (size) {\n const s = size || 1;\n _filter.convolution.call(this, [\n -2 * s, -1 * s, 0,\n -1 * s, 1, 1 * s,\n 0, 1 * s, 2 * s,\n ]);\n };\n\n // -------------------------------------------------------------------------\n // Blur Filter\n _filter.blur = function (size) {\n const blurSizeX = (size / 7) / _width;\n const blurSizeY = (size / 7) / _height;\n const program = _compileShader(_filter.blur.SHADER);\n // Vertical\n gl.uniform2f(program.uniform.px, 0, blurSizeY);\n _draw(DRAW.INTERMEDIATE);\n // Horizontal\n gl.uniform2f(program.uniform.px, blurSizeX, 0);\n _draw();\n };\n\n _filter.blur.SHADER = [\n 'precision highp float;',\n 'varying vec2 vUv;',\n 'uniform sampler2D texture;',\n 'uniform vec2 px;',\n 'void main(void) {',\n 'gl_FragColor = vec4(0.0);',\n 'gl_FragColor += texture2D(texture, vUv + vec2(-7.0*px.x, -7.0*px.y))*0.0044299121055113265;',\n 'gl_FragColor += texture2D(texture, vUv + vec2(-6.0*px.x, -6.0*px.y))*0.00895781211794;',\n 'gl_FragColor += texture2D(texture, vUv + vec2(-5.0*px.x, -5.0*px.y))*0.0215963866053;',\n 'gl_FragColor += texture2D(texture, vUv + vec2(-4.0*px.x, -4.0*px.y))*0.0443683338718;',\n 'gl_FragColor += texture2D(texture, vUv + vec2(-3.0*px.x, -3.0*px.y))*0.0776744219933;',\n 'gl_FragColor += texture2D(texture, vUv + vec2(-2.0*px.x, -2.0*px.y))*0.115876621105;',\n 'gl_FragColor += texture2D(texture, vUv + vec2(-1.0*px.x, -1.0*px.y))*0.147308056121;',\n 'gl_FragColor += texture2D(texture, vUv )*0.159576912161;',\n 'gl_FragColor += texture2D(texture, vUv + vec2( 1.0*px.x, 1.0*px.y))*0.147308056121;',\n 'gl_FragColor += texture2D(texture, vUv + vec2( 2.0*px.x, 2.0*px.y))*0.115876621105;',\n 'gl_FragColor += texture2D(texture, vUv + vec2( 3.0*px.x, 3.0*px.y))*0.0776744219933;',\n 'gl_FragColor += texture2D(texture, vUv + vec2( 4.0*px.x, 4.0*px.y))*0.0443683338718;',\n 'gl_FragColor += texture2D(texture, vUv + vec2( 5.0*px.x, 5.0*px.y))*0.0215963866053;',\n 'gl_FragColor += texture2D(texture, vUv + vec2( 6.0*px.x, 6.0*px.y))*0.00895781211794;',\n 'gl_FragColor += texture2D(texture, vUv + vec2( 7.0*px.x, 7.0*px.y))*0.0044299121055113265;',\n '}',\n ].join('\\n');\n\n // -------------------------------------------------------------------------\n // Pixelate Filter\n _filter.pixelate = function (size) {\n const blurSizeX = (size) / _width;\n const blurSizeY = (size) / _height;\n const program = _compileShader(_filter.pixelate.SHADER);\n // Horizontal\n gl.uniform2f(program.uniform.size, blurSizeX, blurSizeY);\n _draw();\n };\n\n _filter.pixelate.SHADER = [\n 'precision highp float;',\n 'varying vec2 vUv;',\n 'uniform vec2 size;',\n 'uniform sampler2D texture;',\n 'vec2 pixelate(vec2 coord, vec2 size) {',\n 'return floor( coord / size ) * size;',\n '}',\n 'void main(void) {',\n 'gl_FragColor = vec4(0.0);',\n 'vec2 coord = pixelate(vUv, size);',\n 'gl_FragColor += texture2D(texture, coord);',\n '}',\n ].join('\\n');\n}\n", "// @ts-nocheck\n\nimport { log } from './log';\nimport * as tf from '../dist/tfjs.esm.js';\nimport * as fxImage from './imagefx';\n\n// internal temp canvases\nlet inCanvas = null;\nlet outCanvas = null;\n// instance of fximage\nlet fx = null;\n\n// process input image and return tensor\n// input can be tensor, imagedata, htmlimageelement, htmlvideoelement\n// input is resized and run through imagefx filter\nexport function process(input, config) {\n let tensor;\n if (input instanceof tf.Tensor) {\n tensor = tf.clone(input);\n } else {\n const originalWidth = input.naturalWidth || input.videoWidth || input.width || (input.shape && (input.shape[1] > 0));\n const originalHeight = input.naturalHeight || input.videoHeight || input.height || (input.shape && (input.shape[2] > 0));\n let targetWidth = originalWidth;\n let targetHeight = originalHeight;\n if (config.filter.width > 0) targetWidth = config.filter.width;\n else if (config.filter.height > 0) targetWidth = originalWidth * (config.filter.height / originalHeight);\n if (config.filter.height > 0) targetHeight = config.filter.height;\n else if (config.filter.width > 0) targetHeight = originalHeight * (config.filter.width / originalWidth);\n if (!targetWidth || !targetHeight) {\n log('Human: invalid input', input);\n return null;\n }\n if (!inCanvas || (inCanvas.width !== targetWidth) || (inCanvas.height !== targetHeight)) {\n inCanvas = (typeof OffscreenCanvas !== 'undefined') ? new OffscreenCanvas(targetWidth, targetHeight) : document.createElement('canvas');\n if (inCanvas.width !== targetWidth) inCanvas.width = targetWidth;\n if (inCanvas.height !== targetHeight) inCanvas.height = targetHeight;\n }\n const ctx = inCanvas.getContext('2d');\n if (input instanceof ImageData) ctx.putImageData(input, 0, 0);\n else ctx.drawImage(input, 0, 0, originalWidth, originalHeight, 0, 0, inCanvas.width, inCanvas.height);\n if (config.filter.enabled) {\n if (!fx || !outCanvas || (inCanvas.width !== outCanvas.width) || (inCanvas.height !== outCanvas.height)) {\n outCanvas = (typeof OffscreenCanvas !== 'undefined') ? new OffscreenCanvas(inCanvas.width, inCanvas.height) : document.createElement('canvas');\n if (outCanvas.width !== inCanvas.width) outCanvas.width = inCanvas.width;\n if (outCanvas.height !== inCanvas.height) outCanvas.height = inCanvas.height;\n log('created FX filter');\n fx = tf.ENV.flags.IS_BROWSER ? new fxImage.GLImageFilter({ canvas: outCanvas }) : null; // && (typeof document !== 'undefined')\n }\n if (!fx) return inCanvas;\n fx.reset();\n fx.addFilter('brightness', config.filter.brightness); // must have at least one filter enabled\n if (config.filter.contrast !== 0) fx.addFilter('contrast', config.filter.contrast);\n if (config.filter.sharpness !== 0) fx.addFilter('sharpen', config.filter.sharpness);\n if (config.filter.blur !== 0) fx.addFilter('blur', config.filter.blur);\n if (config.filter.saturation !== 0) fx.addFilter('saturation', config.filter.saturation);\n if (config.filter.hue !== 0) fx.addFilter('hue', config.filter.hue);\n if (config.filter.negative) fx.addFilter('negative');\n if (config.filter.sepia) fx.addFilter('sepia');\n if (config.filter.vintage) fx.addFilter('brownie');\n if (config.filter.sepia) fx.addFilter('sepia');\n if (config.filter.kodachrome) fx.addFilter('kodachrome');\n if (config.filter.technicolor) fx.addFilter('technicolor');\n if (config.filter.polaroid) fx.addFilter('polaroid');\n if (config.filter.pixelate !== 0) fx.addFilter('pixelate', config.filter.pixelate);\n fx.apply(inCanvas);\n // read pixel data\n /*\n const gl = outCanvas.getContext('webgl');\n if (gl) {\n const glBuffer = new Uint8Array(outCanvas.width * outCanvas.height * 4);\n const pixBuffer = new Uint8Array(outCanvas.width * outCanvas.height * 3);\n gl.readPixels(0, 0, outCanvas.width, outCanvas.height, gl.RGBA, gl.UNSIGNED_BYTE, glBuffer);\n // gl returns rbga while we only need rgb, so discarding alpha channel\n // gl returns starting point as lower left, so need to invert vertical\n let i = 0;\n for (let y = outCanvas.height - 1; y >= 0; y--) {\n for (let x = 0; x < outCanvas.width; x++) {\n const index = (x + y * outCanvas.width) * 4;\n pixBuffer[i++] = glBuffer[index + 0];\n pixBuffer[i++] = glBuffer[index + 1];\n pixBuffer[i++] = glBuffer[index + 2];\n }\n }\n outCanvas.data = pixBuffer;\n }\n */\n } else {\n outCanvas = inCanvas;\n if (fx) fx = null;\n }\n let pixels;\n if (outCanvas.data) {\n const shape = [outCanvas.height, outCanvas.width, 3];\n pixels = tf.tensor3d(outCanvas.data, shape, 'int32');\n } else if ((config.backend === 'webgl') || (outCanvas instanceof ImageData)) {\n // tf kernel-optimized method to get imagedata, also if input is imagedata, just use it\n pixels = tf.browser.fromPixels(outCanvas);\n } else {\n // cpu and wasm kernel does not implement efficient fromPixels method nor we can use canvas as-is, so we do a silly one more canvas\n const tempCanvas = (typeof OffscreenCanvas !== 'undefined') ? new OffscreenCanvas(targetWidth, targetHeight) : document.createElement('canvas');\n tempCanvas.width = targetWidth;\n tempCanvas.height = targetHeight;\n const tempCtx = tempCanvas.getContext('2d');\n tempCtx?.drawImage(outCanvas, 0, 0);\n const data = tempCtx?.getImageData(0, 0, targetWidth, targetHeight);\n pixels = tf.browser.fromPixels(data);\n }\n const casted = pixels.toFloat();\n tensor = casted.expandDims(0);\n pixels.dispose();\n casted.dispose();\n }\n return { tensor, canvas: config.filter.return ? outCanvas : null };\n}\n", "/* eslint-disable indent */\n/* eslint-disable no-multi-spaces */\n\nexport default {\n backend: 'webgl', // select tfjs backend to use\n wasmPath: '../assets/', // path for wasm binaries\n // only used for backend: wasm\n async: true, // execute enabled models in parallel\n // this disables per-model performance data but\n // slightly increases performance\n // cannot be used if profiling is enabled\n profile: false, // enable tfjs profiling\n // this has significant performance impact\n // only enable for debugging purposes\n // currently only implemented for age,gender,emotion models\n deallocate: false, // aggresively deallocate gpu memory after each usage\n // only valid for webgl backend and only during first call\n // cannot be changed unless library is reloaded\n // this has significant performance impact\n // only enable on low-memory devices\n scoped: false, // enable scoped runs\n // some models *may* have memory leaks,\n // this wrapps everything in a local scope at a cost of performance\n // typically not needed\n videoOptimized: true, // perform additional optimizations when input is video,\n // must be disabled for images\n // basically this skips object box boundary detection for every n frames\n // while maintaining in-box detection since objects cannot move that fast\n warmup: 'face', // what to use for human.warmup(), can be 'none', 'face', 'full'\n // warmup pre-initializes all models for faster inference but can take\n // significant time on startup\n filter: {\n enabled: true, // enable image pre-processing filters\n width: 0, // resize input width\n height: 0, // resize input height\n // if both width and height are set to 0, there is no resizing\n // if just one is set, second one is scaled automatically\n // if both are set, values are used as-is\n return: true, // return processed canvas imagedata in result\n brightness: 0, // range: -1 (darken) to 1 (lighten)\n contrast: 0, // range: -1 (reduce contrast) to 1 (increase contrast)\n sharpness: 0, // range: 0 (no sharpening) to 1 (maximum sharpening)\n blur: 0, // range: 0 (no blur) to N (blur radius in pixels)\n saturation: 0, // range: -1 (reduce saturation) to 1 (increase saturation)\n hue: 0, // range: 0 (no change) to 360 (hue rotation in degrees)\n negative: false, // image negative\n sepia: false, // image sepia colors\n vintage: false, // image vintage colors\n kodachrome: false, // image kodachrome colors\n technicolor: false, // image technicolor colors\n polaroid: false, // image polaroid camera effect\n pixelate: 0, // range: 0 (no pixelate) to N (number of pixels to pixelate)\n },\n\n gesture: {\n enabled: true, // enable simple gesture recognition\n },\n\n face: {\n enabled: true, // controls if specified modul is enabled\n // face.enabled is required for all face models:\n // detector, mesh, iris, age, gender, emotion\n // (note: module is not loaded until it is required)\n detector: {\n modelPath: '../models/blazeface-back.json', // can be 'blazeface-front', 'blazeface-front' or 'faceboxes'\n // 'blazeface-front' is blazeface model optimized for large faces such as front-facing camera\n // 'blazeface-back' is blazeface model optimized for smaller and/or distanct faces\n // 'faceboxes' is alternative model to 'blazeface\n inputSize: 256, // fixed value: 128 for front and 256 for 'back'\n rotation: false, // use best-guess rotated face image or just box with rotation as-is\n // false means higher performance, but incorrect mesh mapping if face angle is above 20 degrees\n maxFaces: 10, // maximum number of faces detected in the input\n // should be set to the minimum number for performance\n skipFrames: 11, // how many frames to go without re-running the face bounding box detector\n // only used for video inputs\n // e.g., if model is running st 25 FPS, we can re-use existing bounding\n // box for updated face analysis as the head probably hasn't moved much\n // in short time (10 * 1/25 = 0.25 sec)\n minConfidence: 0.5, // threshold for discarding a prediction\n iouThreshold: 0.2, // threshold for deciding whether boxes overlap too much in\n // non-maximum suppression (0.1 means drop if overlap 10%)\n scoreThreshold: 0.5, // threshold for deciding when to remove boxes based on score\n // in non-maximum suppression,\n // this is applied on detection objects only and before minConfidence\n },\n\n mesh: {\n enabled: true,\n modelPath: '../models/facemesh.json',\n inputSize: 192, // fixed value\n returnRawData: false, // in addition to standard mesh and box values, return raw normalized values as well\n },\n\n iris: {\n enabled: true,\n modelPath: '../models/iris.json',\n inputSize: 64, // fixed value\n },\n\n age: {\n enabled: true,\n modelPath: '../models/age-ssrnet-imdb.json', // can be 'age-ssrnet-imdb' or 'age-ssrnet-wiki'\n // which determines training set for model\n inputSize: 64, // fixed value\n skipFrames: 31, // how many frames to go without re-running the detector\n // only used for video inputs\n },\n\n gender: {\n enabled: true,\n minConfidence: 0.1, // threshold for discarding a prediction\n modelPath: '../models/gender-ssrnet-imdb.json', // can be 'gender', 'gender-ssrnet-imdb' or 'gender-ssrnet-wiki'\n inputSize: 64, // fixed value\n skipFrames: 41, // how many frames to go without re-running the detector\n // only used for video inputs\n },\n\n emotion: {\n enabled: true,\n inputSize: 64, // fixed value\n minConfidence: 0.2, // threshold for discarding a prediction\n skipFrames: 21, // how many frames to go without re-running the detector\n modelPath: '../models/emotion-large.json', // can be 'mini', 'large'\n },\n\n embedding: {\n enabled: false,\n inputSize: 112, // fixed value\n modelPath: '../models/mobilefacenet.json',\n },\n },\n\n body: {\n enabled: true,\n modelPath: '../models/posenet.json',\n inputSize: 257, // fixed value\n maxDetections: 10, // maximum number of people detected in the input\n // should be set to the minimum number for performance\n scoreThreshold: 0.5, // threshold for deciding when to remove boxes based on score\n // in non-maximum suppression\n nmsRadius: 20, // radius for deciding points are too close in non-maximum suppression\n outputStride: 16, // size of block in which to run point detectopn, smaller value means higher resolution\n // defined by model itself, can be 8, 16, or 32\n modelType: 'MobileNet', // Human includes MobileNet version, but you can switch to ResNet\n },\n\n hand: {\n enabled: true,\n rotation: false, // use best-guess rotated hand image or just box with rotation as-is\n // false means higher performance, but incorrect finger mapping if hand is inverted\n inputSize: 256, // fixed value\n skipFrames: 12, // how many frames to go without re-running the hand bounding box detector\n // only used for video inputs\n // e.g., if model is running st 25 FPS, we can re-use existing bounding\n // box for updated hand skeleton analysis as the hand probably\n // hasn't moved much in short time (10 * 1/25 = 0.25 sec)\n minConfidence: 0.1, // threshold for discarding a prediction\n iouThreshold: 0.1, // threshold for deciding whether boxes overlap too much\n // in non-maximum suppression\n scoreThreshold: 0.5, // threshold for deciding when to remove boxes based on\n // score in non-maximum suppression\n maxHands: 1, // maximum number of hands detected in the input\n // should be set to the minimum number for performance\n landmarks: true, // detect hand landmarks or just hand boundary box\n detector: {\n modelPath: '../models/handdetect.json',\n },\n skeleton: {\n modelPath: '../models/handskeleton.json',\n },\n },\n};\n", "// data:image/jpeg;base64,\nexport const face = 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"names": [] } diff --git a/dist/human.esm.json b/dist/human.esm.json index 5f3c2da8..4558bf15 100644 --- a/dist/human.esm.json +++ b/dist/human.esm.json @@ -175,7 +175,7 @@ ] }, "src/embedding/embedding.ts": { - "bytes": 1909, + "bytes": 2022, "imports": [ { "path": "src/log.ts", @@ -499,7 +499,7 @@ "imports": [], "exports": [], "inputs": {}, - "bytes": 1924685 + "bytes": 1924848 }, "dist/human.esm.js": { "imports": [], @@ -556,7 +556,7 @@ "bytesInOutput": 1180 }, "src/embedding/embedding.ts": { - "bytesInOutput": 725 + "bytesInOutput": 794 }, "src/posenet/posenet.ts": { "bytesInOutput": 1007 @@ -622,7 +622,7 @@ "bytesInOutput": 2572 } }, - "bytes": 1347222 + "bytes": 1347291 } } } diff --git a/dist/human.node-gpu.js b/dist/human.node-gpu.js index 7580bff8..ef33a814 100644 --- a/dist/human.node-gpu.js +++ b/dist/human.node-gpu.js @@ -5,7 +5,7 @@ author: ' */ -var 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X=Pe.reshape(Z,[-1,3]),F=X.arraySync();Z.dispose(),X.dispose();let f=this.transformRawCoords(F,d,x,a),w=this.getBoxForHandLandmarks(f);this.storedBoxes[_]=w;let m={landmarks:f,confidence:V,box:{topLeft:w.startPoint,bottomRight:w.endPoint}};c.push(m)}else this.storedBoxes[_]=null;Z.dispose()}else{let x=Te(ve(h),v0),o={confidence:h.confidence,box:{topLeft:x.startPoint,bottomRight:x.endPoint}};c.push(o)}}return this.storedBoxes=this.storedBoxes.filter(_=>_!==null),this.detectedHands=c.length,c}calculateLandmarksBoundingBox(e){let n=e.map(_=>_[0]),r=e.map(_=>_[1]),A=[Math.min(...n),Math.min(...r)],c=[Math.max(...n),Math.max(...r)];return{startPoint:A,endPoint:c}}};var 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b1(e,t.hand.inputSize,R0),A=new v1(r,n,t.hand.inputSize),c=new z1(A);return t.hand.enabled&&u(`load model: ${t.hand.detector.modelPath.match(/\/(.*)\./)[1]}`),t.hand.landmarks&&u(`load model: ${t.hand.skeleton.modelPath.match(/\/(.*)\./)[1]}`),c}var E0=t=>{if(!t)return[];let e=[];for(let n=0;nx.part==="leftWrist"),A=t[n].keypoints.find(x=>x.part==="rightWrist"),c=t[n].keypoints.find(x=>x.part==="nose");c&&r&&A&&r.position.yx.part==="leftShoulder"),h=t[n].keypoints.find(x=>x.part==="rightShoulder");_&&h&&e.push({body:n,gesture:`leaning ${_.position.y>h.position.y?"left":"right"}`})}return e},z0=t=>{if(!t)return[];let e=[];for(let n=0;n0){let r=t[n].mesh[35][2]-t[n].mesh[263][2];Math.abs(r)<10?e.push({face:n,gesture:"facing camera"}):e.push({face:n,gesture:`facing ${r<0?"right":"left"}`}),Math.abs(t[n].mesh[374][1]-t[n].mesh[386][1])/Math.abs(t[n].mesh[443][1]-t[n].mesh[450][1])<.2&&e.push({face:n,gesture:"blink left eye"}),Math.abs(t[n].mesh[145][1]-t[n].mesh[159][1])/Math.abs(t[n].mesh[223][1]-t[n].mesh[230][1])<.2&&e.push({face:n,gesture:"blink right eye"});let _=Math.min(100,500*Math.abs(t[n].mesh[13][1]-t[n].mesh[14][1])/Math.abs(t[n].mesh[10][1]-t[n].mesh[152][1]));_>10&&e.push({face:n,gesture:`mouth ${Math.trunc(_)}% open`});let h=t[n].mesh[152][2];Math.abs(h)>10&&e.push({face:n,gesture:`head ${h<0?"up":"down"}`})}return e},M0=t=>{if(!t)return[];let e=[];for(let n=0;n{if(!t)return[];let e=[];for(let n=0;n0){let A=r.reduce((_,h)=>_.position[2]_.position[1](o[a]=0,s))},A=function(h,x){let o=t.createShader(x);if(t.shaderSource(o,h),t.compileShader(o),!t.getShaderParameter(o,t.COMPILE_STATUS))throw new Error("Filter: GL compile failed",t.getShaderInfoLog(o));return o};this.uniform={},this.attribute={};let 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n=Math.PI/2-Math.atan2(-(e[1]-t[1]),e[0]-t[0]);return A5(n)}var b0=(t,e)=>[[1,0,t],[0,1,e],[0,0,1]];function G(t,e){let n=0;for(let r=0;rT1([...c,1],n)),A=this.calculateLandmarksBoundingBox(r);return Te(ve(A),_5)}getBoxForHandLandmarks(e){let n=this.calculateLandmarksBoundingBox(e),r=Te(ve(n),v0);r.palmLandmarks=[];for(let A=0;A[_[0]*(d[0]-this.inputSize/2),_[1]*(d[1]-this.inputSize/2),_[2]*d[2]]),x=g1(r,[0,0]),o=h.map(d=>[...T1(d,x),d[2]]),i=T0(A),s=[...he(n),1],a=[G(s,i[0]),G(s,i[1])];return o.map(d=>[d[0]+a[0],d[1]+a[1],d[2]])}async estimateHands(e,n){let r=!1,A;(this.skipped===0||this.skipped>n.hand.skipFrames||!n.hand.landmarks||!n.videoOptimized)&&(A=await this.handDetector.estimateHandBounds(e,n),this.skipped=0),n.videoOptimized&&this.skipped++,A&&A.length>0&&(A.length!==this.detectedHands&&this.detectedHands!==n.hand.maxHands||!n.hand.landmarks)&&(this.detectedHands=0,this.storedBoxes=[...A],this.storedBoxes.length>0&&(r=!0));let c=[];for(let _=0;_=n.hand.minConfidence){let X=Pe.reshape(Z,[-1,3]),F=X.arraySync();Z.dispose(),X.dispose();let f=this.transformRawCoords(F,d,x,a),w=this.getBoxForHandLandmarks(f);this.storedBoxes[_]=w;let m={landmarks:f,confidence:V,box:{topLeft:w.startPoint,bottomRight:w.endPoint}};c.push(m)}else this.storedBoxes[_]=null;Z.dispose()}else{let x=Te(ve(h),v0),o={confidence:h.confidence,box:{topLeft:x.startPoint,bottomRight:x.endPoint}};c.push(o)}}return this.storedBoxes=this.storedBoxes.filter(_=>_!==null),this.detectedHands=c.length,c}calculateLandmarksBoundingBox(e){let n=e.map(_=>_[0]),r=e.map(_=>_[1]),A=[Math.min(...n),Math.min(...r)],c=[Math.max(...n),Math.max(...r)];return{startPoint:A,endPoint:c}}};var 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b1(e,t.hand.inputSize,R0),A=new v1(r,n,t.hand.inputSize),c=new z1(A);return t.hand.enabled&&u(`load model: ${t.hand.detector.modelPath.match(/\/(.*)\./)[1]}`),t.hand.landmarks&&u(`load model: ${t.hand.skeleton.modelPath.match(/\/(.*)\./)[1]}`),c}var E0=t=>{if(!t)return[];let e=[];for(let n=0;nx.part==="leftWrist"),A=t[n].keypoints.find(x=>x.part==="rightWrist"),c=t[n].keypoints.find(x=>x.part==="nose");c&&r&&A&&r.position.yx.part==="leftShoulder"),h=t[n].keypoints.find(x=>x.part==="rightShoulder");_&&h&&e.push({body:n,gesture:`leaning ${_.position.y>h.position.y?"left":"right"}`})}return e},z0=t=>{if(!t)return[];let e=[];for(let n=0;n0){let r=t[n].mesh[35][2]-t[n].mesh[263][2];Math.abs(r)<10?e.push({face:n,gesture:"facing camera"}):e.push({face:n,gesture:`facing ${r<0?"right":"left"}`}),Math.abs(t[n].mesh[374][1]-t[n].mesh[386][1])/Math.abs(t[n].mesh[443][1]-t[n].mesh[450][1])<.2&&e.push({face:n,gesture:"blink left eye"}),Math.abs(t[n].mesh[145][1]-t[n].mesh[159][1])/Math.abs(t[n].mesh[223][1]-t[n].mesh[230][1])<.2&&e.push({face:n,gesture:"blink right eye"});let _=Math.min(100,500*Math.abs(t[n].mesh[13][1]-t[n].mesh[14][1])/Math.abs(t[n].mesh[10][1]-t[n].mesh[152][1]));_>10&&e.push({face:n,gesture:`mouth ${Math.trunc(_)}% open`});let h=t[n].mesh[152][2];Math.abs(h)>10&&e.push({face:n,gesture:`head ${h<0?"up":"down"}`})}return e},M0=t=>{if(!t)return[];let e=[];for(let n=0;n{if(!t)return[];let e=[];for(let n=0;n0){let A=r.reduce((_,h)=>_.position[2]_.position[1](o[a]=0,s))},A=function(h,x){let o=t.createShader(x);if(t.shaderSource(o,h),t.compileShader(o),!t.getShaderParameter(o,t.COMPILE_STATUS))throw new Error("Filter: GL compile failed",t.getShaderInfoLog(o));return o};this.uniform={},this.attribute={};let 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Scope:"),A=T();let i=N0(e,this.config);if(!i||!i.tensor){u("could not convert input to tensor"),r({error:"could not convert input to tensor"});return}this.perf.image=Math.trunc(T()-A),this.analyze("Get Image:"),this.config.async?(x=this.config.face.enabled?this.detectFace(i.tensor):[],this.perf.face&&delete this.perf.face):(this.state="run:face",A=T(),x=this.config.face.enabled?await this.detectFace(i.tensor):[],this.perf.face=Math.trunc(T()-A)),this.analyze("Start Body:"),this.config.async?(_=this.config.body.enabled?(a=this.models.posenet)==null?void 0:a.estimatePoses(i.tensor,this.config):[],this.perf.body&&delete this.perf.body):(this.state="run:body",A=T(),_=this.config.body.enabled?await((d=this.models.posenet)==null?void 0:d.estimatePoses(i.tensor,this.config)):[],this.perf.body=Math.trunc(T()-A)),this.analyze("End Body:"),this.analyze("Start Hand:"),this.config.async?(h=this.config.hand.enabled?(l=this.models.handpose)==null?void 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createImageBitmap(n);r=await this.detect(A,this.config),A.close()}return r}async warmupCanvas(){return new Promise(e=>{let n,r=0;switch(this.config.warmup){case"face":r=256,n="data:image/jpeg;base64,"+Re;break;case"full":r=1200,n="data:image/jpeg;base64,"+Ee;break;default:n=null}let A=new Image(r,r);A.onload=()=>{let c=typeof OffscreenCanvas!="undefined"?new OffscreenCanvas(r,r):document.createElement("canvas");c.width=r,c.height=r;let _=c.getContext("2d");_==null||_.drawImage(A,0,0);let h=_==null?void 0:_.getImageData(0,0,r,r);this.detect(h,this.config).then(x=>e(x))},n?A.src=n:e(null)})}async warmupNode(){let e=_=>Buffer.from(_,"base64"),n=this.config.warmup==="face"?e(Re):e(Ee),r=Q0.node.decodeJpeg(n),A=r.expandDims(0);this.tf.dispose(r);let c=await this.detect(A,this.config);return this.tf.dispose(A),c}async warmup(e){let n=T();e&&(this.config=xe(this.config,e));let r=this.config.videoOptimized;this.config.videoOptimized=!1;let A;typeof createImageBitmap=="function"?A=await this.warmupBitmap():typeof Image!="undefined"?A=await this.warmupCanvas():A=await this.warmupNode(),this.config.videoOptimized=r;let c=T();return u("Warmup",this.config.warmup,Math.round(c-n),"ms",A),A}}; +2Q==`;var S1={};Y(S1,{author:()=>H0,browser:()=>L0,bugs:()=>F0,default:()=>s5,dependencies:()=>U0,description:()=>I0,devDependencies:()=>D0,engines:()=>B0,homepage:()=>q0,keywords:()=>G0,license:()=>Y0,main:()=>V0,module:()=>X0,name:()=>O0,peerDependencies:()=>K0,repository:()=>J0,scripts:()=>C0,sideEffects:()=>Z0,types:()=>k0,version:()=>W1});var O0="@vladmandic/human",W1="0.20.5",I0="Human: AI-powered 3D Face Detection, Face Embedding & Recognition, Body Pose Tracking, Hand & Finger Tracking, Iris Analysis, Age & Gender & Emotion Prediction & Gesture Recognition",Z0=!1,V0="dist/human.node.js",X0="dist/human.esm.js",L0="dist/human.esm.js",k0="types/human.d.ts",H0="Vladimir Mandic 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--trace-warnings --unhandled-rejections=strict --trace-uncaught --no-deprecation src/node.js",lint:"eslint src demo server",dev:"npm install && node server/serve.js",build:"rimraf dist/* && rimraf types/* && node server/build.js && node server/changelog.js",update:"npm update --depth 20 --force && npm dedupe && npm prune && npm audit"},G0=["tensorflowjs","face-detection","face-geometry","face-embedding","face-recognition","body-tracking","hand-tracking","iris-tracking","age-estimation","emotion-detection","gender-prediction","gesture-recognition"],s5={name:O0,version:W1,description:I0,sideEffects:Z0,main:V0,module:X0,browser:L0,types:k0,author:H0,bugs:F0,homepage:q0,license:Y0,engines:B0,repository:J0,dependencies:U0,peerDependencies:K0,devDependencies:D0,scripts:C0,keywords:G0};var T=()=>typeof performance!="undefined"?performance.now():parseInt((Number(process.hrtime.bigint())/1e3/1e3).toString());function xe(...t){let e=n=>n&&typeof n=="object";return t.reduce((n,r)=>(Object.keys(r||{}).forEach(A=>{let c=n[A],_=r[A];Array.isArray(c)&&Array.isArray(_)?n[A]=c.concat(..._):e(c)&&e(_)?n[A]=xe(c,_):n[A]=_}),n),{})}var et=class{constructor(e={}){this.tf=Q0,this.package=S1,this.version=W1,this.config=xe(j0,e),this.fx=null,this.state="idle",this.numTensors=0,this.analyzeMemoryLeaks=!1,this.checkSanity=!1,this.firstRun=!0,this.perf={},this.models={facemesh:null,posenet:null,handpose:null,iris:null,age:null,gender:null,emotion:null},this.facemesh=$0,this.age=Be,this.gender=Ke,this.emotion=e1,this.body=m1,this.hand=P1}profile(){return this.config.profile?Fe:{}}analyze(...e){if(!this.analyzeMemoryLeaks)return;let n=this.tf.engine().state.numTensors,r=this.numTensors;this.numTensors=n;let A=n-r;A!==0&&u(...e,A)}sanity(e){if(!this.checkSanity)return null;if(!e)return"input is not defined";if(this.tf.ENV.flags.IS_NODE&&!(e instanceof this.tf.Tensor))return"input must be a tensor";try{this.tf.getBackend()}catch(n){return"backend not loaded"}return null}simmilarity(e,n){return this.config.face.embedding.enabled?$1(e,n):0}async load(e=null){this.state="load";let n=T();e&&(this.config=xe(this.config,e)),this.firstRun&&(u(`version: ${this.version} TensorFlow/JS version: ${this.tf.version_core}`),await this.checkBackend(!0),this.tf.ENV.flags.IS_BROWSER&&(u("configuration:",this.config),u("tf flags:",this.tf.ENV.flags)));let r=this.config.face.detector.modelPath.includes("faceboxes")?qe:$0;this.config.async?[this.models.face,this.models.age,this.models.gender,this.models.emotion,this.models.embedding,this.models.posenet,this.models.handpose]=await Promise.all([this.models.face||(this.config.face.enabled?r.load(this.config):null),this.models.age||(this.config.face.enabled&&this.config.face.age.enabled?Je(this.config):null),this.models.gender||(this.config.face.enabled&&this.config.face.gender.enabled?Qe(this.config):null),this.models.emotion||(this.config.face.enabled&&this.config.face.emotion.enabled?r1(this.config):null),this.models.embedding||(this.config.face.enabled&&this.config.face.embedding.enabled?c1(this.config):null),this.models.posenet||(this.config.body.enabled?p1(this.config):null),this.models.handpose||(this.config.hand.enabled?M1(this.config):null)]):(this.config.face.enabled&&!this.models.face&&(this.models.face=await r.load(this.config)),this.config.face.enabled&&this.config.face.age.enabled&&!this.models.age&&(this.models.age=await Je(this.config)),this.config.face.enabled&&this.config.face.gender.enabled&&!this.models.gender&&(this.models.gender=await Qe(this.config)),this.config.face.enabled&&this.config.face.emotion.enabled&&!this.models.emotion&&(this.models.emotion=await r1(this.config)),this.config.face.enabled&&this.config.face.embedding.enabled&&!this.models.embedding&&(this.models.embedding=await c1(this.config)),this.config.body.enabled&&!this.models.posenet&&(this.models.posenet=await p1(this.config)),this.config.hand.enabled&&!this.models.handpose&&(this.models.handpose=await M1(this.config))),this.firstRun&&(u("tf engine state:",this.tf.engine().state.numBytes,"bytes",this.tf.engine().state.numTensors,"tensors"),this.firstRun=!1);let A=Math.trunc(T()-n);A>(this.perf.load||0)&&(this.perf.load=A)}async checkBackend(e=!1){if(this.config.backend&&this.config.backend!==""&&e||this.tf.getBackend()!==this.config.backend){let n=T();this.state="backend",u("setting backend:",this.config.backend),this.config.backend==="wasm"&&(u("settings wasm path:",this.config.wasmPath),this.tf.setWasmPaths(this.config.wasmPath),await this.tf.env().getAsync("WASM_HAS_SIMD_SUPPORT")||u("warning: wasm simd support is not enabled")),this.config.backend==="humangl"&&X1();try{await this.tf.setBackend(this.config.backend)}catch(r){u("error: cannot set backend:",this.config.backend,r)}if(this.tf.enableProdMode(),this.tf.getBackend()==="webgl"){this.config.deallocate&&(u("changing webgl: WEBGL_DELETE_TEXTURE_THRESHOLD:",this.config.deallocate),this.tf.ENV.set("WEBGL_DELETE_TEXTURE_THRESHOLD",this.config.deallocate?0:-1)),this.tf.ENV.set("WEBGL_FORCE_F16_TEXTURES",!0),this.tf.ENV.set("WEBGL_PACK_DEPTHWISECONV",!0);let r=await this.tf.backend().getGPGPUContext().gl;u(`gl version:${r.getParameter(r.VERSION)} renderer:${r.getParameter(r.RENDERER)}`)}await this.tf.ready(),this.perf.backend=Math.trunc(T()-n)}}async detectFace(e){var o,i,s,a,d,l;let n,r,A,c,_,h=[];this.state="run:face",n=T();let x=await((o=this.models.face)==null?void 0:o.estimateFaces(e,this.config));this.perf.face=Math.trunc(T()-n);for(let y of x){if(this.analyze("Get Face"),!y.image||y.image.isDisposedInternal){u("Face object is disposed:",y.image);continue}this.analyze("Start Age:"),this.config.async?r=this.config.face.age.enabled?Ue(y.image,this.config):{}:(this.state="run:age",n=T(),r=this.config.face.age.enabled?await Ue(y.image,this.config):{},this.perf.age=Math.trunc(T()-n)),this.analyze("Start Gender:"),this.config.async?A=this.config.face.gender.enabled?$e(y.image,this.config):{}:(this.state="run:gender",n=T(),A=this.config.face.gender.enabled?await $e(y.image,this.config):{},this.perf.gender=Math.trunc(T()-n)),this.analyze("Start Emotion:"),this.config.async?c=this.config.face.emotion.enabled?A1(y.image,this.config):{}:(this.state="run:emotion",n=T(),c=this.config.face.emotion.enabled?await A1(y.image,this.config):{},this.perf.emotion=Math.trunc(T()-n)),this.analyze("End Emotion:"),this.analyze("Start Embedding:"),this.config.async?_=this.config.face.embedding.enabled?_1(y.image,this.config):{}:(this.state="run:embedding",n=T(),_=this.config.face.embedding.enabled?await _1(y.image,this.config):{},this.perf.embedding=Math.trunc(T()-n)),this.analyze("End Emotion:"),this.config.async&&([r,A,c,_]=await Promise.all([r,A,c,_])),this.analyze("Finish Face:"),!this.config.face.iris.enabled&&((i=y==null?void 0:y.annotations)==null?void 0:i.leftEyeIris)&&((s=y==null?void 0:y.annotations)==null?void 0:s.rightEyeIris)&&(delete y.annotations.leftEyeIris,delete y.annotations.rightEyeIris);let O=((a=y.annotations)==null?void 0:a.leftEyeIris)&&((d=y.annotations)==null?void 0:d.rightEyeIris)?11.7*Math.max(Math.abs(y.annotations.leftEyeIris[3][0]-y.annotations.leftEyeIris[1][0]),Math.abs(y.annotations.rightEyeIris[4][1]-y.annotations.rightEyeIris[2][1])):0;h.push({confidence:y.confidence,box:y.box,mesh:y.mesh,boxRaw:y.boxRaw,meshRaw:y.meshRaw,annotations:y.annotations,age:r.age,gender:A.gender,genderConfidence:A.confidence,emotion:c,embedding:_,iris:O!==0?Math.trunc(O)/100:0}),(l=y.image)==null||l.dispose(),this.analyze("End Face")}return this.analyze("End FaceMesh:"),this.config.async&&(this.perf.face&&delete this.perf.face,this.perf.age&&delete this.perf.age,this.perf.gender&&delete this.perf.gender,this.perf.emotion&&delete this.perf.emotion),h}async detect(e,n={}){return new Promise(async r=>{var a,d,l,y;this.state="config";let A;this.config=xe(this.config,n),this.state="check";let c=this.sanity(e);c&&(u(c,e),r({error:c}));let _,h,x,o=T();await this.checkBackend(),await this.load(),this.config.scoped&&this.tf.engine().startScope(),this.analyze("Start Scope:"),A=T();let i=N0(e,this.config);if(!i||!i.tensor){u("could not convert input to tensor"),r({error:"could not convert input to tensor"});return}this.perf.image=Math.trunc(T()-A),this.analyze("Get Image:"),this.config.async?(x=this.config.face.enabled?this.detectFace(i.tensor):[],this.perf.face&&delete this.perf.face):(this.state="run:face",A=T(),x=this.config.face.enabled?await this.detectFace(i.tensor):[],this.perf.face=Math.trunc(T()-A)),this.analyze("Start Body:"),this.config.async?(_=this.config.body.enabled?(a=this.models.posenet)==null?void 0:a.estimatePoses(i.tensor,this.config):[],this.perf.body&&delete this.perf.body):(this.state="run:body",A=T(),_=this.config.body.enabled?await((d=this.models.posenet)==null?void 0:d.estimatePoses(i.tensor,this.config)):[],this.perf.body=Math.trunc(T()-A)),this.analyze("End Body:"),this.analyze("Start Hand:"),this.config.async?(h=this.config.hand.enabled?(l=this.models.handpose)==null?void 0:l.estimateHands(i.tensor,this.config):[],this.perf.hand&&delete this.perf.hand):(this.state="run:hand",A=T(),h=this.config.hand.enabled?await((y=this.models.handpose)==null?void 0:y.estimateHands(i.tensor,this.config)):[],this.perf.hand=Math.trunc(T()-A)),this.analyze("End Hand:"),this.config.async&&([x,_,h]=await Promise.all([x,_,h])),i.tensor.dispose(),this.config.scoped&&this.tf.engine().endScope(),this.analyze("End Scope:");let s=[];this.config.gesture.enabled&&(A=T(),s=[...z0(x),...E0(_),...S0(h),...M0(x)],this.config.async?this.perf.gesture&&delete this.perf.gesture:this.perf.gesture=Math.trunc(T()-A)),this.perf.total=Math.trunc(T()-o),this.state="idle",r({face:x,body:_,hand:h,gesture:s,performance:this.perf,canvas:i.canvas})})}async warmupBitmap(){let e=(A,c="application/octet-stream")=>fetch(`data:${c};base64,${A}`).then(_=>_.blob()),n,r;switch(this.config.warmup){case"face":n=await e(Re);break;case"full":n=await e(Ee);break;default:n=null}if(n){let A=await createImageBitmap(n);r=await this.detect(A,this.config),A.close()}return r}async warmupCanvas(){return new Promise(e=>{let n,r=0;switch(this.config.warmup){case"face":r=256,n="data:image/jpeg;base64,"+Re;break;case"full":r=1200,n="data:image/jpeg;base64,"+Ee;break;default:n=null}let A=new Image(r,r);A.onload=()=>{let c=typeof OffscreenCanvas!="undefined"?new OffscreenCanvas(r,r):document.createElement("canvas");c.width=r,c.height=r;let _=c.getContext("2d");_==null||_.drawImage(A,0,0);let h=_==null?void 0:_.getImageData(0,0,r,r);this.detect(h,this.config).then(x=>e(x))},n?A.src=n:e(null)})}async warmupNode(){let e=_=>Buffer.from(_,"base64"),n=this.config.warmup==="face"?e(Re):e(Ee),r=Q0.node.decodeJpeg(n),A=r.expandDims(0);this.tf.dispose(r);let c=await this.detect(A,this.config);return this.tf.dispose(A),c}async warmup(e){let n=T();e&&(this.config=xe(this.config,e));let r=this.config.videoOptimized;this.config.videoOptimized=!1;let A;typeof createImageBitmap=="function"?A=await this.warmupBitmap():typeof Image!="undefined"?A=await this.warmupCanvas():A=await this.warmupNode(),this.config.videoOptimized=r;let c=T();return u("Warmup",this.config.warmup,Math.round(c-n),"ms",A),A}}; //# sourceMappingURL=human.node-gpu.js.map diff --git a/dist/human.node-gpu.js.map b/dist/human.node-gpu.js.map index bf8aa4bb..7d924f4f 100644 --- a/dist/human.node-gpu.js.map +++ b/dist/human.node-gpu.js.map @@ -1,7 +1,7 @@ { "version": 3, "sources": ["../src/tfjs/tf-node-gpu.ts", "../src/blazeface/facemesh.ts", "../src/posenet/keypoints.ts", "../src/human.ts", "../src/log.ts", "../src/tfjs/backend.ts", "../src/blazeface/blazeface.ts", "../src/blazeface/facepipeline.ts", "../src/blazeface/box.ts", "../src/blazeface/util.ts", "../src/blazeface/coords.ts", "../src/faceboxes/faceboxes.ts", "../src/profile.ts", "../src/age/age.ts", "../src/gender/gender.ts", "../src/emotion/emotion.ts", "../src/embedding/embedding.ts", "../src/posenet/posenet.ts", "../src/posenet/modelBase.ts", "../src/posenet/heapSort.ts", "../src/posenet/buildParts.ts", "../src/posenet/decodePose.ts", "../src/posenet/vectors.ts", "../src/posenet/decoders.ts", "../src/posenet/decodeMultiple.ts", "../src/posenet/util.ts", "../src/handpose/handpose.ts", "../src/handpose/handdetector.ts", "../src/handpose/box.ts", "../src/handpose/handpipeline.ts", "../src/handpose/util.ts", "../src/handpose/anchors.ts", "../src/gesture/gesture.ts", "../src/image.ts", "../src/imagefx.js", "../config.js", "../src/sample.ts"], - "sourcesContent": ["export * from '@tensorflow/tfjs-node-gpu';\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as blazeface from './blazeface';\nimport * as facepipeline from './facepipeline';\nimport * as coords from './coords';\n\nexport class MediaPipeFaceMesh {\n facePipeline: any;\n config: any;\n\n constructor(blazeFace, blazeMeshModel, irisModel, config) {\n this.facePipeline = new facepipeline.Pipeline(blazeFace, blazeMeshModel, irisModel, config);\n this.config = config;\n }\n\n async estimateFaces(input, config) {\n const predictions = await this.facePipeline.predict(input, config);\n const results: Array<{}> = [];\n for (const prediction of (predictions || [])) {\n if (prediction.isDisposedInternal) continue; // guard against disposed tensors on long running operations such as pause in middle of processing\n const mesh = prediction.coords ? prediction.coords.arraySync() : null;\n const meshRaw = prediction.rawCoords;\n const annotations = {};\n if (mesh && mesh.length > 0) {\n for (const key of Object.keys(coords.MESH_ANNOTATIONS)) {\n annotations[key] = coords.MESH_ANNOTATIONS[key].map((index) => mesh[index]);\n }\n }\n const boxRaw = (config.face.mesh.returnRawData && prediction.box) ? { topLeft: prediction.box.startPoint, bottomRight: prediction.box.endPoint } : null;\n const box = prediction.box ? [\n Math.max(0, prediction.box.startPoint[0]),\n Math.max(0, prediction.box.startPoint[1]),\n Math.min(input.shape[2], prediction.box.endPoint[0]) - prediction.box.startPoint[0],\n Math.min(input.shape[1], prediction.box.endPoint[1]) - prediction.box.startPoint[1],\n ] : 0;\n results.push({ confidence: prediction.confidence || 0, box, mesh, boxRaw, meshRaw, annotations, image: prediction.image ? tf.clone(prediction.image) : null });\n if (prediction.coords) prediction.coords.dispose();\n if (prediction.image) prediction.image.dispose();\n }\n return results;\n }\n}\n\nlet faceModels = [null, null, null];\nexport async function load(config) {\n // @ts-ignore\n faceModels = await Promise.all([\n (!faceModels[0] && config.face.enabled) ? blazeface.load(config) : null,\n (!faceModels[1] && config.face.mesh.enabled) ? tf.loadGraphModel(config.face.mesh.modelPath, { fromTFHub: config.face.mesh.modelPath.includes('tfhub.dev') }) : null,\n (!faceModels[2] && config.face.iris.enabled) ? tf.loadGraphModel(config.face.iris.modelPath, { fromTFHub: config.face.iris.modelPath.includes('tfhub.dev') }) : null,\n ]);\n const faceMesh = new MediaPipeFaceMesh(faceModels[0], faceModels[1], faceModels[2], config);\n if (config.face.mesh.enabled) log(`load model: ${config.face.mesh.modelPath.match(/\\/(.*)\\./)[1]}`);\n if (config.face.iris.enabled) log(`load model: ${config.face.iris.modelPath.match(/\\/(.*)\\./)[1]}`);\n return faceMesh;\n}\n\nexports.triangulation = coords.TRI468;\n", "export const partNames = [\n 'nose', 'leftEye', 'rightEye', 'leftEar', 'rightEar', 'leftShoulder',\n 'rightShoulder', 'leftElbow', 'rightElbow', 'leftWrist', 'rightWrist',\n 'leftHip', 'rightHip', 'leftKnee', 'rightKnee', 'leftAnkle', 'rightAnkle',\n];\n\nexport const NUM_KEYPOINTS = exports.partNames.length;\n\nexport const partIds = exports.partNames.reduce((result, jointName, i) => {\n result[jointName] = i;\n return result;\n}, {});\n\nconst connectedPartNames = [\n ['leftHip', 'leftShoulder'], ['leftElbow', 'leftShoulder'],\n ['leftElbow', 'leftWrist'], ['leftHip', 'leftKnee'],\n ['leftKnee', 'leftAnkle'], ['rightHip', 'rightShoulder'],\n ['rightElbow', 'rightShoulder'], ['rightElbow', 'rightWrist'],\n ['rightHip', 'rightKnee'], ['rightKnee', 'rightAnkle'],\n ['leftShoulder', 'rightShoulder'], ['leftHip', 'rightHip'],\n];\nexport const connectedPartIndices = connectedPartNames.map(([jointNameA, jointNameB]) => ([partIds[jointNameA], partIds[jointNameB]]));\n\nexport const poseChain = [\n ['nose', 'leftEye'], ['leftEye', 'leftEar'], ['nose', 'rightEye'],\n ['rightEye', 'rightEar'], ['nose', 'leftShoulder'],\n ['leftShoulder', 'leftElbow'], ['leftElbow', 'leftWrist'],\n ['leftShoulder', 'leftHip'], ['leftHip', 'leftKnee'],\n ['leftKnee', 'leftAnkle'], ['nose', 'rightShoulder'],\n ['rightShoulder', 'rightElbow'], ['rightElbow', 'rightWrist'],\n ['rightShoulder', 'rightHip'], ['rightHip', 'rightKnee'],\n ['rightKnee', 'rightAnkle'],\n];\n\nexport const partChannels = [\n 'left_face',\n 'right_face',\n 'right_upper_leg_front',\n 'right_lower_leg_back',\n 'right_upper_leg_back',\n 'left_lower_leg_front',\n 'left_upper_leg_front',\n 'left_upper_leg_back',\n 'left_lower_leg_back',\n 'right_feet',\n 'right_lower_leg_front',\n 'left_feet',\n 'torso_front',\n 'torso_back',\n 'right_upper_arm_front',\n 'right_upper_arm_back',\n 'right_lower_arm_back',\n 'left_lower_arm_front',\n 'left_upper_arm_front',\n 'left_upper_arm_back',\n 'left_lower_arm_back',\n 'right_hand',\n 'right_lower_arm_front',\n 'left_hand',\n];\n", "import { log } from './log';\nimport * as tf from '../dist/tfjs.esm.js';\nimport * as backend from './tfjs/backend';\nimport * as facemesh from './blazeface/facemesh';\nimport * as faceboxes from './faceboxes/faceboxes';\nimport * as age from './age/age';\nimport * as gender from './gender/gender';\nimport * as emotion from './emotion/emotion';\nimport * as embedding from './embedding/embedding';\nimport * as posenet from './posenet/posenet';\nimport * as handpose from './handpose/handpose';\nimport * as gesture from './gesture/gesture';\nimport * as image from './image';\nimport * as profile from './profile';\nimport * as config from '../config';\nimport * as sample from './sample';\nimport * as app from '../package.json';\n\n// helper function: gets elapsed time on both browser and nodejs\nconst now = () => {\n if (typeof performance !== 'undefined') return performance.now();\n return parseInt((Number(process.hrtime.bigint()) / 1000 / 1000).toString());\n};\n\n// helper function: perform deep merge of multiple objects so it allows full inheriance with overrides\nfunction mergeDeep(...objects) {\n const isObject = (obj) => obj && typeof obj === 'object';\n return objects.reduce((prev, obj) => {\n Object.keys(obj || {}).forEach((key) => {\n const pVal = prev[key];\n const oVal = obj[key];\n if (Array.isArray(pVal) && Array.isArray(oVal)) {\n prev[key] = pVal.concat(...oVal);\n } else if (isObject(pVal) && isObject(oVal)) {\n prev[key] = mergeDeep(pVal, oVal);\n } else {\n prev[key] = oVal;\n }\n });\n return prev;\n }, {});\n}\n\nclass Human {\n tf: any;\n package: any;\n version: string;\n config: any;\n fx: any;\n state: string;\n numTensors: number;\n analyzeMemoryLeaks: boolean;\n checkSanity: boolean;\n firstRun: boolean;\n perf: any;\n models: any;\n // models\n facemesh: any;\n age: any;\n gender: any;\n emotion: any;\n body: any;\n hand: any;\n\n constructor(userConfig = {}) {\n this.tf = tf;\n this.package = app;\n this.version = app.version;\n this.config = mergeDeep(config.default, userConfig);\n this.fx = null;\n this.state = 'idle';\n this.numTensors = 0;\n this.analyzeMemoryLeaks = false;\n this.checkSanity = false;\n this.firstRun = true;\n this.perf = {};\n // object that contains all initialized models\n this.models = {\n facemesh: null,\n posenet: null,\n handpose: null,\n iris: null,\n age: null,\n gender: null,\n emotion: null,\n };\n // export raw access to underlying models\n this.facemesh = facemesh;\n this.age = age;\n this.gender = gender;\n this.emotion = emotion;\n this.body = posenet;\n this.hand = handpose;\n }\n\n profile() {\n if (this.config.profile) return profile.data;\n return {};\n }\n\n // helper function: measure tensor leak\n analyze(...msg) {\n if (!this.analyzeMemoryLeaks) return;\n const current = this.tf.engine().state.numTensors;\n const previous = this.numTensors;\n this.numTensors = current;\n const leaked = current - previous;\n if (leaked !== 0) log(...msg, leaked);\n }\n\n // quick sanity check on inputs\n sanity(input) {\n if (!this.checkSanity) return null;\n if (!input) return 'input is not defined';\n if (this.tf.ENV.flags.IS_NODE && !(input instanceof this.tf.Tensor)) {\n return 'input must be a tensor';\n }\n try {\n this.tf.getBackend();\n } catch {\n return 'backend not loaded';\n }\n return null;\n }\n\n simmilarity(embedding1, embedding2) {\n if (this.config.face.embedding.enabled) return embedding.simmilarity(embedding1, embedding2);\n return 0;\n }\n\n // preload models, not explicitly required as it's done automatically on first use\n async load(userConfig = null) {\n this.state = 'load';\n const timeStamp = now();\n if (userConfig) this.config = mergeDeep(this.config, userConfig);\n\n if (this.firstRun) {\n log(`version: ${this.version} TensorFlow/JS version: ${this.tf.version_core}`);\n await this.checkBackend(true);\n if (this.tf.ENV.flags.IS_BROWSER) {\n log('configuration:', this.config);\n log('tf flags:', this.tf.ENV.flags);\n }\n }\n const face = this.config.face.detector.modelPath.includes('faceboxes') ? faceboxes : facemesh;\n if (this.config.async) {\n [\n this.models.face,\n this.models.age,\n this.models.gender,\n this.models.emotion,\n this.models.embedding,\n this.models.posenet,\n this.models.handpose,\n ] = await Promise.all([\n this.models.face || (this.config.face.enabled ? face.load(this.config) : null),\n this.models.age || ((this.config.face.enabled && this.config.face.age.enabled) ? age.load(this.config) : null),\n this.models.gender || ((this.config.face.enabled && this.config.face.gender.enabled) ? gender.load(this.config) : null),\n this.models.emotion || ((this.config.face.enabled && this.config.face.emotion.enabled) ? emotion.load(this.config) : null),\n this.models.embedding || ((this.config.face.enabled && this.config.face.embedding.enabled) ? embedding.load(this.config) : null),\n this.models.posenet || (this.config.body.enabled ? posenet.load(this.config) : null),\n this.models.handpose || (this.config.hand.enabled ? handpose.load(this.config) : null),\n ]);\n } else {\n if (this.config.face.enabled && !this.models.face) this.models.face = await face.load(this.config);\n if (this.config.face.enabled && this.config.face.age.enabled && !this.models.age) this.models.age = await age.load(this.config);\n if (this.config.face.enabled && this.config.face.gender.enabled && !this.models.gender) this.models.gender = await gender.load(this.config);\n if (this.config.face.enabled && this.config.face.emotion.enabled && !this.models.emotion) this.models.emotion = await emotion.load(this.config);\n if (this.config.face.enabled && this.config.face.embedding.enabled && !this.models.embedding) this.models.embedding = await embedding.load(this.config);\n if (this.config.body.enabled && !this.models.posenet) this.models.posenet = await posenet.load(this.config);\n if (this.config.hand.enabled && !this.models.handpose) this.models.handpose = await handpose.load(this.config);\n }\n\n if (this.firstRun) {\n log('tf engine state:', this.tf.engine().state.numBytes, 'bytes', this.tf.engine().state.numTensors, 'tensors');\n this.firstRun = false;\n }\n\n const current = Math.trunc(now() - timeStamp);\n if (current > (this.perf.load || 0)) this.perf.load = current;\n }\n\n // check if backend needs initialization if it changed\n async checkBackend(force = false) {\n if (this.config.backend && (this.config.backend !== '') && force || (this.tf.getBackend() !== this.config.backend)) {\n const timeStamp = now();\n this.state = 'backend';\n /* force backend reload\n if (this.config.backend in tf.engine().registry) {\n const backendFactory = tf.findBackendFactory(this.config.backend);\n tf.removeBackend(this.config.backend);\n tf.registerBackend(this.config.backend, backendFactory);\n } else {\n log('Backend not registred:', this.config.backend);\n }\n */\n\n log('setting backend:', this.config.backend);\n\n if (this.config.backend === 'wasm') {\n log('settings wasm path:', this.config.wasmPath);\n this.tf.setWasmPaths(this.config.wasmPath);\n const simd = await this.tf.env().getAsync('WASM_HAS_SIMD_SUPPORT');\n if (!simd) log('warning: wasm simd support is not enabled');\n }\n\n if (this.config.backend === 'humangl') backend.register();\n try {\n await this.tf.setBackend(this.config.backend);\n } catch (err) {\n log('error: cannot set backend:', this.config.backend, err);\n }\n this.tf.enableProdMode();\n /* debug mode is really too mcuh\n tf.enableDebugMode();\n */\n if (this.tf.getBackend() === 'webgl') {\n if (this.config.deallocate) {\n log('changing webgl: WEBGL_DELETE_TEXTURE_THRESHOLD:', this.config.deallocate);\n this.tf.ENV.set('WEBGL_DELETE_TEXTURE_THRESHOLD', this.config.deallocate ? 0 : -1);\n }\n this.tf.ENV.set('WEBGL_FORCE_F16_TEXTURES', true);\n this.tf.ENV.set('WEBGL_PACK_DEPTHWISECONV', true);\n const gl = await this.tf.backend().getGPGPUContext().gl;\n log(`gl version:${gl.getParameter(gl.VERSION)} renderer:${gl.getParameter(gl.RENDERER)}`);\n }\n await this.tf.ready();\n this.perf.backend = Math.trunc(now() - timeStamp);\n }\n }\n\n async detectFace(input) {\n // run facemesh, includes blazeface and iris\n // eslint-disable-next-line no-async-promise-executor\n let timeStamp;\n let ageRes;\n let genderRes;\n let emotionRes;\n let embeddingRes;\n const faceRes: Array<{ confidence: number, box: any, mesh: any, meshRaw: any, boxRaw: any, annotations: any, age: number, gender: string, genderConfidence: number, emotion: string, embedding: any, iris: number }> = [];\n this.state = 'run:face';\n timeStamp = now();\n const faces = await this.models.face?.estimateFaces(input, this.config);\n this.perf.face = Math.trunc(now() - timeStamp);\n for (const face of faces) {\n this.analyze('Get Face');\n\n // is something went wrong, skip the face\n if (!face.image || face.image.isDisposedInternal) {\n log('Face object is disposed:', face.image);\n continue;\n }\n\n // run age, inherits face from blazeface\n this.analyze('Start Age:');\n if (this.config.async) {\n ageRes = this.config.face.age.enabled ? age.predict(face.image, this.config) : {};\n } else {\n this.state = 'run:age';\n timeStamp = now();\n ageRes = this.config.face.age.enabled ? await age.predict(face.image, this.config) : {};\n this.perf.age = Math.trunc(now() - timeStamp);\n }\n\n // run gender, inherits face from blazeface\n this.analyze('Start Gender:');\n if (this.config.async) {\n genderRes = this.config.face.gender.enabled ? gender.predict(face.image, this.config) : {};\n } else {\n this.state = 'run:gender';\n timeStamp = now();\n genderRes = this.config.face.gender.enabled ? await gender.predict(face.image, this.config) : {};\n this.perf.gender = Math.trunc(now() - timeStamp);\n }\n\n // run emotion, inherits face from blazeface\n this.analyze('Start Emotion:');\n if (this.config.async) {\n emotionRes = this.config.face.emotion.enabled ? emotion.predict(face.image, this.config) : {};\n } else {\n this.state = 'run:emotion';\n timeStamp = now();\n emotionRes = this.config.face.emotion.enabled ? await emotion.predict(face.image, this.config) : {};\n this.perf.emotion = Math.trunc(now() - timeStamp);\n }\n this.analyze('End Emotion:');\n\n // run emotion, inherits face from blazeface\n this.analyze('Start Embedding:');\n if (this.config.async) {\n embeddingRes = this.config.face.embedding.enabled ? embedding.predict(face.image, this.config) : {};\n } else {\n this.state = 'run:embedding';\n timeStamp = now();\n embeddingRes = this.config.face.embedding.enabled ? await embedding.predict(face.image, this.config) : {};\n this.perf.embedding = Math.trunc(now() - timeStamp);\n }\n this.analyze('End Emotion:');\n\n // if async wait for results\n if (this.config.async) {\n [ageRes, genderRes, emotionRes, embeddingRes] = await Promise.all([ageRes, genderRes, emotionRes, embeddingRes]);\n }\n\n this.analyze('Finish Face:');\n\n // calculate iris distance\n // iris: array[ center, left, top, right, bottom]\n if (!this.config.face.iris.enabled && face?.annotations?.leftEyeIris && face?.annotations?.rightEyeIris) {\n delete face.annotations.leftEyeIris;\n delete face.annotations.rightEyeIris;\n }\n const irisSize = (face.annotations?.leftEyeIris && face.annotations?.rightEyeIris)\n /* average human iris size is 11.7mm */\n ? 11.7 * Math.max(Math.abs(face.annotations.leftEyeIris[3][0] - face.annotations.leftEyeIris[1][0]), Math.abs(face.annotations.rightEyeIris[4][1] - face.annotations.rightEyeIris[2][1]))\n : 0;\n\n // combine results\n faceRes.push({\n confidence: face.confidence,\n box: face.box,\n mesh: face.mesh,\n boxRaw: face.boxRaw,\n meshRaw: face.meshRaw,\n annotations: face.annotations,\n age: ageRes.age,\n gender: genderRes.gender,\n genderConfidence: genderRes.confidence,\n emotion: emotionRes,\n embedding: embeddingRes,\n iris: (irisSize !== 0) ? Math.trunc(irisSize) / 100 : 0,\n // image: face.image.toInt().squeeze(),\n });\n\n // dont need face anymore\n face.image?.dispose();\n this.analyze('End Face');\n }\n this.analyze('End FaceMesh:');\n if (this.config.async) {\n if (this.perf.face) delete this.perf.face;\n if (this.perf.age) delete this.perf.age;\n if (this.perf.gender) delete this.perf.gender;\n if (this.perf.emotion) delete this.perf.emotion;\n }\n return faceRes;\n }\n\n /*\n async processImage(input, userConfig = {}) {\n this.state = 'image';\n this.config = mergeDeep(this.config, userConfig);\n const process = image.process(input, this.config);\n process?.tensor?.dispose();\n return process?.canvas;\n }\n */\n\n // main detect function\n async detect(input, userConfig = {}) {\n // detection happens inside a promise\n return new Promise(async (resolve) => {\n this.state = 'config';\n let timeStamp;\n\n // update configuration\n this.config = mergeDeep(this.config, userConfig);\n\n // sanity checks\n this.state = 'check';\n const error = this.sanity(input);\n if (error) {\n log(error, input);\n resolve({ error });\n }\n\n let poseRes;\n let handRes;\n let faceRes;\n\n const timeStart = now();\n\n // configure backend\n await this.checkBackend();\n\n // load models if enabled\n await this.load();\n\n if (this.config.scoped) this.tf.engine().startScope();\n this.analyze('Start Scope:');\n\n timeStamp = now();\n const process = image.process(input, this.config);\n if (!process || !process.tensor) {\n log('could not convert input to tensor');\n resolve({ error: 'could not convert input to tensor' });\n return;\n }\n this.perf.image = Math.trunc(now() - timeStamp);\n this.analyze('Get Image:');\n\n // run face detection followed by all models that rely on face bounding box: face mesh, age, gender, emotion\n if (this.config.async) {\n faceRes = this.config.face.enabled ? this.detectFace(process.tensor) : [];\n if (this.perf.face) delete this.perf.face;\n } else {\n this.state = 'run:face';\n timeStamp = now();\n faceRes = this.config.face.enabled ? await this.detectFace(process.tensor) : [];\n this.perf.face = Math.trunc(now() - timeStamp);\n }\n\n // run posenet\n this.analyze('Start Body:');\n if (this.config.async) {\n poseRes = this.config.body.enabled ? this.models.posenet?.estimatePoses(process.tensor, this.config) : [];\n if (this.perf.body) delete this.perf.body;\n } else {\n this.state = 'run:body';\n timeStamp = now();\n poseRes = this.config.body.enabled ? await this.models.posenet?.estimatePoses(process.tensor, this.config) : [];\n this.perf.body = Math.trunc(now() - timeStamp);\n }\n this.analyze('End Body:');\n\n // run handpose\n this.analyze('Start Hand:');\n if (this.config.async) {\n handRes = this.config.hand.enabled ? this.models.handpose?.estimateHands(process.tensor, this.config) : [];\n if (this.perf.hand) delete this.perf.hand;\n } else {\n this.state = 'run:hand';\n timeStamp = now();\n handRes = this.config.hand.enabled ? await this.models.handpose?.estimateHands(process.tensor, this.config) : [];\n this.perf.hand = Math.trunc(now() - timeStamp);\n }\n this.analyze('End Hand:');\n\n // if async wait for results\n if (this.config.async) {\n [faceRes, poseRes, handRes] = await Promise.all([faceRes, poseRes, handRes]);\n }\n process.tensor.dispose();\n\n if (this.config.scoped) this.tf.engine().endScope();\n this.analyze('End Scope:');\n\n let gestureRes = [];\n if (this.config.gesture.enabled) {\n timeStamp = now();\n // @ts-ignore\n gestureRes = [...gesture.face(faceRes), ...gesture.body(poseRes), ...gesture.hand(handRes), ...gesture.iris(faceRes)];\n if (!this.config.async) this.perf.gesture = Math.trunc(now() - timeStamp);\n else if (this.perf.gesture) delete this.perf.gesture;\n }\n\n this.perf.total = Math.trunc(now() - timeStart);\n this.state = 'idle';\n resolve({ face: faceRes, body: poseRes, hand: handRes, gesture: gestureRes, performance: this.perf, canvas: process.canvas });\n });\n }\n\n async warmupBitmap() {\n const b64toBlob = (base64, type = 'application/octet-stream') => fetch(`data:${type};base64,${base64}`).then((res) => res.blob());\n let blob;\n let res;\n switch (this.config.warmup) {\n case 'face': blob = await b64toBlob(sample.face); break;\n case 'full': blob = await b64toBlob(sample.body); break;\n default: blob = null;\n }\n if (blob) {\n const bitmap = await createImageBitmap(blob);\n res = await this.detect(bitmap, this.config);\n bitmap.close();\n }\n return res;\n }\n\n async warmupCanvas() {\n return new Promise((resolve) => {\n let src;\n let size = 0;\n switch (this.config.warmup) {\n case 'face':\n size = 256;\n src = 'data:image/jpeg;base64,' + sample.face;\n break;\n case 'full':\n size = 1200;\n src = 'data:image/jpeg;base64,' + sample.body;\n break;\n default:\n src = null;\n }\n const img = new Image(size, size);\n img.onload = () => {\n const canvas = (typeof OffscreenCanvas !== 'undefined') ? new OffscreenCanvas(size, size) : document.createElement('canvas');\n canvas.width = size;\n canvas.height = size;\n const ctx = canvas.getContext('2d');\n ctx?.drawImage(img, 0, 0);\n const data = ctx?.getImageData(0, 0, size, size);\n this.detect(data, this.config).then((res) => resolve(res));\n };\n if (src) img.src = src;\n else resolve(null);\n });\n }\n\n async warmupNode() {\n const atob = (str) => Buffer.from(str, 'base64');\n const img = this.config.warmup === 'face' ? atob(sample.face) : atob(sample.body);\n // @ts-ignore\n const data = tf.node.decodeJpeg(img); // tf.node is only defined when compiling for nodejs\n const expanded = data.expandDims(0);\n this.tf.dispose(data);\n // log('Input:', expanded);\n const res = await this.detect(expanded, this.config);\n this.tf.dispose(expanded);\n return res;\n }\n\n async warmup(userConfig) {\n const t0 = now();\n if (userConfig) this.config = mergeDeep(this.config, userConfig);\n const video = this.config.videoOptimized;\n this.config.videoOptimized = false;\n let res;\n if (typeof createImageBitmap === 'function') res = await this.warmupBitmap();\n else if (typeof Image !== 'undefined') res = await this.warmupCanvas();\n else res = await this.warmupNode();\n this.config.videoOptimized = video;\n const t1 = now();\n log('Warmup', this.config.warmup, Math.round(t1 - t0), 'ms', res);\n return res;\n }\n}\n\nexport { Human as default };\n", "// helper function: wrapper around console output\nexport function log(...msg) {\n const dt = new Date();\n const ts = `${dt.getHours().toString().padStart(2, '0')}:${dt.getMinutes().toString().padStart(2, '0')}:${dt.getSeconds().toString().padStart(2, '0')}.${dt.getMilliseconds().toString().padStart(3, '0')}`;\n // eslint-disable-next-line no-console\n if (msg) console.log(ts, 'Human:', ...msg);\n}\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\n\nexport const config = {\n name: 'humangl',\n priority: 99,\n canvas: null,\n gl: null,\n width: 1024,\n height: 1024,\n webGLattr: { // https://www.khronos.org/registry/webgl/specs/latest/1.0/#5.2\n alpha: false,\n antialias: false,\n premultipliedAlpha: false,\n preserveDrawingBuffer: false,\n depth: false,\n stencil: false,\n failIfMajorPerformanceCaveat: false,\n desynchronized: true,\n },\n};\n\nexport function register() {\n if (!tf.findBackend(config.name)) {\n log('backend registration:', config.name);\n try {\n // @ts-ignore\n config.canvas = (typeof OffscreenCanvas !== 'undefined') ? new OffscreenCanvas(config.width, config.height) : document.createElement('canvas');\n } catch (err) {\n log('error: cannot create canvas:', err);\n return;\n }\n try {\n // @ts-ignore\n config.gl = config.canvas.getContext('webgl2', config.webGLattr);\n } catch (err) {\n log('error: cannot get WebGL2 context:', err);\n return;\n }\n try {\n tf.setWebGLContext(2, config.gl);\n } catch (err) {\n log('error: cannot set WebGL2 context:', err);\n return;\n }\n try {\n const ctx = new tf.GPGPUContext(config.gl);\n tf.registerBackend(config.name, () => new tf.MathBackendWebGL(ctx), config.priority);\n } catch (err) {\n log('error: cannot register WebGL backend:', err);\n return;\n }\n try {\n const kernels = tf.getKernelsForBackend('webgl');\n kernels.forEach((kernelConfig) => {\n const newKernelConfig = { ...kernelConfig, backendName: config.name };\n tf.registerKernel(newKernelConfig);\n });\n } catch (err) {\n log('error: cannot update WebGL backend registration:', err);\n return;\n }\n try {\n tf.ENV.set('WEBGL_VERSION', 2);\n // @ts-ignore\n tf.ENV.set('WEBGL_MAX_TEXTURE_SIZE', config.gl.getParameter(config.gl.MAX_TEXTURE_SIZE));\n tf.ENV.set('WEBGL_FORCE_F16_TEXTURES', true);\n tf.ENV.set('WEBGL_PACK_DEPTHWISECONV', true);\n } catch (err) {\n log('error: cannot set WebGL backend flags:', err);\n return;\n }\n log('backend registered:', config.name);\n }\n}\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\n\nconst NUM_LANDMARKS = 6;\n\nfunction generateAnchors(inputSize) {\n const spec = { strides: [inputSize / 16, inputSize / 8], anchors: [2, 6] };\n const anchors: Array<[number, number]> = [];\n for (let i = 0; i < spec.strides.length; i++) {\n const stride = spec.strides[i];\n const gridRows = Math.floor((inputSize + stride - 1) / stride);\n const gridCols = Math.floor((inputSize + stride - 1) / stride);\n const anchorsNum = spec.anchors[i];\n for (let gridY = 0; gridY < gridRows; gridY++) {\n const anchorY = stride * (gridY + 0.5);\n for (let gridX = 0; gridX < gridCols; gridX++) {\n const anchorX = stride * (gridX + 0.5);\n for (let n = 0; n < anchorsNum; n++) {\n anchors.push([anchorX, anchorY]);\n }\n }\n }\n }\n return anchors;\n}\n\nexport const disposeBox = (box) => {\n box.startEndTensor.dispose();\n box.startPoint.dispose();\n box.endPoint.dispose();\n};\n\nconst createBox = (startEndTensor) => ({\n startEndTensor,\n startPoint: tf.slice(startEndTensor, [0, 0], [-1, 2]),\n endPoint: tf.slice(startEndTensor, [0, 2], [-1, 2]),\n});\n\nfunction decodeBounds(boxOutputs, anchors, inputSize) {\n const boxStarts = tf.slice(boxOutputs, [0, 1], [-1, 2]);\n const centers = tf.add(boxStarts, anchors);\n const boxSizes = tf.slice(boxOutputs, [0, 3], [-1, 2]);\n const boxSizesNormalized = tf.div(boxSizes, inputSize);\n const centersNormalized = tf.div(centers, inputSize);\n const halfBoxSize = tf.div(boxSizesNormalized, 2);\n const starts = tf.sub(centersNormalized, halfBoxSize);\n const ends = tf.add(centersNormalized, halfBoxSize);\n const startNormalized = tf.mul(starts, inputSize);\n const endNormalized = tf.mul(ends, inputSize);\n const concatAxis = 1;\n return tf.concat2d([startNormalized, endNormalized], concatAxis);\n}\n\nexport class BlazeFaceModel {\n blazeFaceModel: any;\n width: number;\n height: number;\n anchorsData: any;\n anchors: any;\n inputSize: number;\n config: any;\n scaleFaces: number;\n\n constructor(model, config) {\n this.blazeFaceModel = model;\n this.width = config.face.detector.inputSize;\n this.height = config.face.detector.inputSize;\n this.anchorsData = generateAnchors(config.face.detector.inputSize);\n this.anchors = tf.tensor2d(this.anchorsData);\n this.inputSize = tf.tensor1d([this.width, this.height]);\n this.config = config;\n this.scaleFaces = 0.8;\n }\n\n async getBoundingBoxes(inputImage) {\n // sanity check on input\n if ((!inputImage) || (inputImage.isDisposedInternal) || (inputImage.shape.length !== 4) || (inputImage.shape[1] < 1) || (inputImage.shape[2] < 1)) return null;\n const [detectedOutputs, boxes, scores] = tf.tidy(() => {\n const resizedImage = inputImage.resizeBilinear([this.width, this.height]);\n // const normalizedImage = tf.mul(tf.sub(resizedImage.div(255), 0.5), 2);\n const normalizedImage = tf.sub(resizedImage.div(127.5), 1);\n const batchedPrediction = this.blazeFaceModel.predict(normalizedImage);\n let prediction;\n // are we using tfhub or pinto converted model?\n if (Array.isArray(batchedPrediction)) {\n const sorted = batchedPrediction.sort((a, b) => a.size - b.size);\n const concat384 = tf.concat([sorted[0], sorted[2]], 2); // dim: 384, 1 + 16\n const concat512 = tf.concat([sorted[1], sorted[3]], 2); // dim: 512, 1 + 16\n const concat = tf.concat([concat512, concat384], 1);\n prediction = concat.squeeze(0);\n } else {\n prediction = batchedPrediction.squeeze(); // when using tfhub model\n }\n const decodedBounds = decodeBounds(prediction, this.anchors, this.inputSize);\n const logits = tf.slice(prediction, [0, 0], [-1, 1]);\n const scoresOut = tf.sigmoid(logits).squeeze();\n return [prediction, decodedBounds, scoresOut];\n });\n const boxIndicesTensor = await tf.image.nonMaxSuppressionAsync(boxes, scores, this.config.face.detector.maxFaces, this.config.face.detector.iouThreshold, this.config.face.detector.scoreThreshold);\n const boxIndices = boxIndicesTensor.arraySync();\n boxIndicesTensor.dispose();\n const boundingBoxesMap = boxIndices.map((boxIndex) => tf.slice(boxes, [boxIndex, 0], [1, -1]));\n const boundingBoxes = boundingBoxesMap.map((boundingBox) => {\n const vals = boundingBox.arraySync();\n boundingBox.dispose();\n return vals;\n });\n\n const scoresVal = scores.dataSync();\n const annotatedBoxes: Array<{ box: any, landmarks: any, anchor: any, confidence: number }> = [];\n for (let i = 0; i < boundingBoxes.length; i++) {\n const boxIndex = boxIndices[i];\n const confidence = scoresVal[boxIndex];\n if (confidence > this.config.face.detector.minConfidence) {\n const box = createBox(boundingBoxes[i]);\n const anchor = this.anchorsData[boxIndex];\n const landmarks = tf.tidy(() => tf.slice(detectedOutputs, [boxIndex, NUM_LANDMARKS - 1], [1, -1]).squeeze().reshape([NUM_LANDMARKS, -1]));\n annotatedBoxes.push({ box, landmarks, anchor, confidence });\n }\n }\n detectedOutputs.dispose();\n boxes.dispose();\n scores.dispose();\n detectedOutputs.dispose();\n return {\n boxes: annotatedBoxes,\n scaleFactor: [inputImage.shape[2] / this.width, inputImage.shape[1] / this.height],\n };\n }\n}\n\nexport async function load(config) {\n const blazeface = await tf.loadGraphModel(config.face.detector.modelPath, { fromTFHub: config.face.detector.modelPath.includes('tfhub.dev') });\n const model = new BlazeFaceModel(blazeface, config);\n log(`load model: ${config.face.detector.modelPath.match(/\\/(.*)\\./)[1]}`);\n return model;\n}\n", "/* eslint-disable class-methods-use-this */\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as bounding from './box';\nimport * as util from './util';\nimport * as coords from './coords';\n\nconst LANDMARKS_COUNT = 468;\nconst MESH_MOUTH_INDEX = 13;\nconst MESH_KEYPOINTS_LINE_OF_SYMMETRY_INDICES = [MESH_MOUTH_INDEX, coords.MESH_ANNOTATIONS['midwayBetweenEyes'][0]];\nconst BLAZEFACE_MOUTH_INDEX = 3;\nconst BLAZEFACE_NOSE_INDEX = 2;\nconst BLAZEFACE_KEYPOINTS_LINE_OF_SYMMETRY_INDICES = [BLAZEFACE_MOUTH_INDEX, BLAZEFACE_NOSE_INDEX];\nconst LEFT_EYE_OUTLINE = coords.MESH_ANNOTATIONS['leftEyeLower0'];\nconst LEFT_EYE_BOUNDS = [LEFT_EYE_OUTLINE[0], LEFT_EYE_OUTLINE[LEFT_EYE_OUTLINE.length - 1]];\nconst RIGHT_EYE_OUTLINE = coords.MESH_ANNOTATIONS['rightEyeLower0'];\nconst RIGHT_EYE_BOUNDS = [RIGHT_EYE_OUTLINE[0], RIGHT_EYE_OUTLINE[RIGHT_EYE_OUTLINE.length - 1]];\nconst IRIS_UPPER_CENTER_INDEX = 3;\nconst IRIS_LOWER_CENTER_INDEX = 4;\nconst IRIS_IRIS_INDEX = 71;\nconst IRIS_NUM_COORDINATES = 76;\n\n// Replace the raw coordinates returned by facemesh with refined iris model coordinates. Update the z coordinate to be an average of the original and the new. This produces the best visual effect.\nfunction replaceRawCoordinates(rawCoords, newCoords, prefix, keys = null) {\n for (let i = 0; i < coords.MESH_TO_IRIS_INDICES_MAP.length; i++) {\n const { key, indices } = coords.MESH_TO_IRIS_INDICES_MAP[i];\n const originalIndices = coords.MESH_ANNOTATIONS[`${prefix}${key}`];\n // @ts-ignore\n if (!keys || keys.includes(key)) {\n for (let j = 0; j < indices.length; j++) {\n const index = indices[j];\n rawCoords[originalIndices[j]] = [\n newCoords[index][0], newCoords[index][1],\n (newCoords[index][2] + rawCoords[originalIndices[j]][2]) / 2,\n ];\n }\n }\n }\n}\n// The Pipeline coordinates between the bounding box and skeleton models.\nexport class Pipeline {\n storedBoxes: any;\n runsWithoutFaceDetector: number;\n boundingBoxDetector: any;\n meshDetector: any;\n irisModel: any;\n meshWidth: number;\n meshHeight: number;\n irisSize: number;\n irisEnlarge: number;\n skipped: number;\n detectedFaces: number;\n\n constructor(boundingBoxDetector, meshDetector, irisModel, config) {\n // An array of facial bounding boxes.\n this.storedBoxes = [];\n this.runsWithoutFaceDetector = 0;\n this.boundingBoxDetector = boundingBoxDetector;\n this.meshDetector = meshDetector;\n this.irisModel = irisModel;\n this.meshWidth = config.face.mesh.inputSize;\n this.meshHeight = config.face.mesh.inputSize;\n this.irisSize = config.face.iris.inputSize;\n this.irisEnlarge = 2.3;\n this.skipped = 0;\n this.detectedFaces = 0;\n }\n\n transformRawCoords(rawCoords, box, angle, rotationMatrix) {\n const boxSize = bounding.getBoxSize({ startPoint: box.startPoint, endPoint: box.endPoint });\n const scaleFactor = [boxSize[0] / this.meshWidth, boxSize[1] / this.meshHeight];\n const coordsScaled = rawCoords.map((coord) => ([\n scaleFactor[0] * (coord[0] - this.meshWidth / 2),\n scaleFactor[1] * (coord[1] - this.meshHeight / 2), coord[2],\n ]));\n const coordsRotationMatrix = (angle !== 0) ? util.buildRotationMatrix(angle, [0, 0]) : util.IDENTITY_MATRIX;\n const coordsRotated = (angle !== 0) ? coordsScaled.map((coord) => ([...util.rotatePoint(coord, coordsRotationMatrix), coord[2]])) : coordsScaled;\n const inverseRotationMatrix = (angle !== 0) ? util.invertTransformMatrix(rotationMatrix) : util.IDENTITY_MATRIX;\n const boxCenter = [...bounding.getBoxCenter({ startPoint: box.startPoint, endPoint: box.endPoint }), 1];\n return coordsRotated.map((coord) => ([\n coord[0] + util.dot(boxCenter, inverseRotationMatrix[0]),\n coord[1] + util.dot(boxCenter, inverseRotationMatrix[1]),\n coord[2],\n ]));\n }\n\n getLeftToRightEyeDepthDifference(rawCoords) {\n const leftEyeZ = rawCoords[LEFT_EYE_BOUNDS[0]][2];\n const rightEyeZ = rawCoords[RIGHT_EYE_BOUNDS[0]][2];\n return leftEyeZ - rightEyeZ;\n }\n\n // Returns a box describing a cropped region around the eye fit for passing to the iris model.\n getEyeBox(rawCoords, face, eyeInnerCornerIndex, eyeOuterCornerIndex, flip = false) {\n const box = bounding.squarifyBox(bounding.enlargeBox(this.calculateLandmarksBoundingBox([rawCoords[eyeInnerCornerIndex], rawCoords[eyeOuterCornerIndex]]), this.irisEnlarge));\n const boxSize = bounding.getBoxSize(box);\n let crop = tf.image.cropAndResize(face, [[\n box.startPoint[1] / this.meshHeight,\n box.startPoint[0] / this.meshWidth, box.endPoint[1] / this.meshHeight,\n box.endPoint[0] / this.meshWidth,\n ]], [0], [this.irisSize, this.irisSize]);\n if (flip) {\n crop = tf.image.flipLeftRight(crop);\n }\n return { box, boxSize, crop };\n }\n\n // Given a cropped image of an eye, returns the coordinates of the contours surrounding the eye and the iris.\n getEyeCoords(eyeData, eyeBox, eyeBoxSize, flip = false) {\n const eyeRawCoords: Array = [];\n for (let i = 0; i < IRIS_NUM_COORDINATES; i++) {\n const x = eyeData[i * 3];\n const y = eyeData[i * 3 + 1];\n const z = eyeData[i * 3 + 2];\n eyeRawCoords.push([\n (flip ? (1 - (x / this.irisSize)) : (x / this.irisSize)) * eyeBoxSize[0] + eyeBox.startPoint[0],\n (y / this.irisSize) * eyeBoxSize[1] + eyeBox.startPoint[1], z,\n ]);\n }\n return { rawCoords: eyeRawCoords, iris: eyeRawCoords.slice(IRIS_IRIS_INDEX) };\n }\n\n // The z-coordinates returned for the iris are unreliable, so we take the z values from the surrounding keypoints.\n getAdjustedIrisCoords(rawCoords, irisCoords, direction) {\n const upperCenterZ = rawCoords[coords.MESH_ANNOTATIONS[`${direction}EyeUpper0`][IRIS_UPPER_CENTER_INDEX]][2];\n const lowerCenterZ = rawCoords[coords.MESH_ANNOTATIONS[`${direction}EyeLower0`][IRIS_LOWER_CENTER_INDEX]][2];\n const averageZ = (upperCenterZ + lowerCenterZ) / 2;\n // Iris indices: 0: center | 1: right | 2: above | 3: left | 4: below\n return irisCoords.map((coord, i) => {\n let z = averageZ;\n if (i === 2) {\n z = upperCenterZ;\n } else if (i === 4) {\n z = lowerCenterZ;\n }\n return [coord[0], coord[1], z];\n });\n }\n\n async predict(input, config) {\n let useFreshBox = false;\n // run new detector every skipFrames unless we only want box to start with\n let detector;\n if ((this.skipped === 0) || (this.skipped > config.face.detector.skipFrames) || !config.face.mesh.enabled || !config.videoOptimized) {\n detector = await this.boundingBoxDetector.getBoundingBoxes(input);\n this.skipped = 0;\n }\n if (config.videoOptimized) this.skipped++;\n\n // if detector result count doesn't match current working set, use it to reset current working set\n if (detector && detector.boxes && (!config.face.mesh.enabled || (detector.boxes.length !== this.detectedFaces) && (this.detectedFaces !== config.face.detector.maxFaces))) {\n this.storedBoxes = [];\n this.detectedFaces = 0;\n for (const possible of detector.boxes) {\n this.storedBoxes.push({ startPoint: possible.box.startPoint.dataSync(), endPoint: possible.box.endPoint.dataSync(), landmarks: possible.landmarks, confidence: possible.confidence });\n }\n if (this.storedBoxes.length > 0) useFreshBox = true;\n }\n\n if (useFreshBox) {\n if (!detector || !detector.boxes || (detector.boxes.length === 0)) {\n this.storedBoxes = [];\n this.detectedFaces = 0;\n return null;\n }\n for (let i = 0; i < this.storedBoxes.length; i++) {\n const scaledBox = bounding.scaleBoxCoordinates({ startPoint: this.storedBoxes[i].startPoint, endPoint: this.storedBoxes[i].endPoint }, detector.scaleFactor);\n const enlargedBox = bounding.enlargeBox(scaledBox);\n const squarifiedBox = bounding.squarifyBox(enlargedBox);\n const landmarks = this.storedBoxes[i].landmarks.arraySync();\n const confidence = this.storedBoxes[i].confidence;\n this.storedBoxes[i] = { ...squarifiedBox, confidence, landmarks };\n }\n this.runsWithoutFaceDetector = 0;\n }\n if (detector && detector.boxes) {\n detector.boxes.forEach((prediction) => {\n prediction.box.startPoint.dispose();\n prediction.box.endPoint.dispose();\n prediction.landmarks.dispose();\n });\n }\n\n // log('face', `skipped: ${this.skipped} max: ${config.face.detector.maxFaces} detected: ${this.detectedFaces} stored: ${this.storedBoxes.length} new: ${detector?.boxes?.length}`);\n let results = tf.tidy(() => this.storedBoxes.map((box, i) => {\n // The facial bounding box landmarks could come either from blazeface (if we are using a fresh box), or from the mesh model (if we are reusing an old box).\n let face;\n let angle = 0;\n let rotationMatrix;\n if (config.face.detector.rotation) {\n const [indexOfMouth, indexOfForehead] = (box.landmarks.length >= LANDMARKS_COUNT) ? MESH_KEYPOINTS_LINE_OF_SYMMETRY_INDICES : BLAZEFACE_KEYPOINTS_LINE_OF_SYMMETRY_INDICES;\n angle = util.computeRotation(box.landmarks[indexOfMouth], box.landmarks[indexOfForehead]);\n const faceCenter = bounding.getBoxCenter({ startPoint: box.startPoint, endPoint: box.endPoint });\n const faceCenterNormalized = [faceCenter[0] / input.shape[2], faceCenter[1] / input.shape[1]];\n const rotatedImage = tf.image.rotateWithOffset(input, angle, 0, faceCenterNormalized);\n rotationMatrix = util.buildRotationMatrix(-angle, faceCenter);\n face = bounding.cutBoxFromImageAndResize({ startPoint: box.startPoint, endPoint: box.endPoint }, rotatedImage, [this.meshHeight, this.meshWidth]).div(255);\n } else {\n rotationMatrix = util.IDENTITY_MATRIX;\n const cloned = input.clone();\n face = bounding.cutBoxFromImageAndResize({ startPoint: box.startPoint, endPoint: box.endPoint }, cloned, [this.meshHeight, this.meshWidth]).div(255);\n }\n\n // if we're not going to produce mesh, don't spend time with further processing\n if (!config.face.mesh.enabled) {\n const prediction = {\n coords: null,\n box,\n faceConfidence: null,\n confidence: box.confidence,\n image: face,\n };\n return prediction;\n }\n\n const [, confidence, contourCoords] = this.meshDetector.predict(face); // The first returned tensor represents facial contours, which are included in the coordinates.\n const faceConfidence = confidence.dataSync()[0];\n if (faceConfidence < config.face.detector.minConfidence) return null; // if below confidence just exit\n const coordsReshaped = tf.reshape(contourCoords, [-1, 3]);\n let rawCoords = coordsReshaped.arraySync();\n\n if (config.face.iris.enabled) {\n const { box: leftEyeBox, boxSize: leftEyeBoxSize, crop: leftEyeCrop } = this.getEyeBox(rawCoords, face, LEFT_EYE_BOUNDS[0], LEFT_EYE_BOUNDS[1], true);\n const { box: rightEyeBox, boxSize: rightEyeBoxSize, crop: rightEyeCrop } = this.getEyeBox(rawCoords, face, RIGHT_EYE_BOUNDS[0], RIGHT_EYE_BOUNDS[1]);\n const eyePredictions = this.irisModel.predict(tf.concat([leftEyeCrop, rightEyeCrop]));\n const eyePredictionsData = eyePredictions.dataSync();\n const leftEyeData = eyePredictionsData.slice(0, IRIS_NUM_COORDINATES * 3);\n const { rawCoords: leftEyeRawCoords, iris: leftIrisRawCoords } = this.getEyeCoords(leftEyeData, leftEyeBox, leftEyeBoxSize, true);\n const rightEyeData = eyePredictionsData.slice(IRIS_NUM_COORDINATES * 3);\n const { rawCoords: rightEyeRawCoords, iris: rightIrisRawCoords } = this.getEyeCoords(rightEyeData, rightEyeBox, rightEyeBoxSize);\n const leftToRightEyeDepthDifference = this.getLeftToRightEyeDepthDifference(rawCoords);\n if (Math.abs(leftToRightEyeDepthDifference) < 30) { // User is looking straight ahead.\n replaceRawCoordinates(rawCoords, leftEyeRawCoords, 'left');\n replaceRawCoordinates(rawCoords, rightEyeRawCoords, 'right');\n // If the user is looking to the left or to the right, the iris coordinates tend to diverge too much from the mesh coordinates for them to be merged. So we only update a single contour line above and below the eye.\n } else if (leftToRightEyeDepthDifference < 1) { // User is looking towards the right.\n // @ts-ignore\n replaceRawCoordinates(rawCoords, leftEyeRawCoords, 'left', ['EyeUpper0', 'EyeLower0']);\n } else { // User is looking towards the left.\n // @ts-ignore\n replaceRawCoordinates(rawCoords, rightEyeRawCoords, 'right', ['EyeUpper0', 'EyeLower0']);\n }\n const adjustedLeftIrisCoords = this.getAdjustedIrisCoords(rawCoords, leftIrisRawCoords, 'left');\n const adjustedRightIrisCoords = this.getAdjustedIrisCoords(rawCoords, rightIrisRawCoords, 'right');\n rawCoords = rawCoords.concat(adjustedLeftIrisCoords).concat(adjustedRightIrisCoords);\n }\n\n const transformedCoordsData = this.transformRawCoords(rawCoords, box, angle, rotationMatrix);\n const landmarksBox = bounding.enlargeBox(this.calculateLandmarksBoundingBox(transformedCoordsData));\n const squarifiedLandmarksBox = bounding.squarifyBox(landmarksBox);\n const transformedCoords = tf.tensor2d(transformedCoordsData);\n const prediction = {\n coords: transformedCoords,\n box: landmarksBox,\n faceConfidence,\n confidence: box.confidence,\n image: face,\n rawCoords,\n };\n if (!config.face.mesh.returnRawData) delete prediction.rawCoords;\n this.storedBoxes[i] = { ...squarifiedLandmarksBox, landmarks: transformedCoords.arraySync(), confidence: box.confidence, faceConfidence };\n\n return prediction;\n }));\n results = results.filter((a) => a !== null);\n this.detectedFaces = results.length;\n return results;\n }\n\n calculateLandmarksBoundingBox(landmarks) {\n const xs = landmarks.map((d) => d[0]);\n const ys = landmarks.map((d) => d[1]);\n const startPoint = [Math.min(...xs), Math.min(...ys)];\n const endPoint = [Math.max(...xs), Math.max(...ys)];\n return { startPoint, endPoint, landmarks };\n }\n}\n", "import * as tf from '../../dist/tfjs.esm.js';\n\nexport function scaleBoxCoordinates(box, factor) {\n const startPoint = [box.startPoint[0] * factor[0], box.startPoint[1] * factor[1]];\n const endPoint = [box.endPoint[0] * factor[0], box.endPoint[1] * factor[1]];\n return { startPoint, endPoint };\n}\n\nexport function getBoxSize(box) {\n return [\n Math.abs(box.endPoint[0] - box.startPoint[0]),\n Math.abs(box.endPoint[1] - box.startPoint[1]),\n ];\n}\n\nexport function getBoxCenter(box) {\n return [\n box.startPoint[0] + (box.endPoint[0] - box.startPoint[0]) / 2,\n box.startPoint[1] + (box.endPoint[1] - box.startPoint[1]) / 2,\n ];\n}\n\nexport function cutBoxFromImageAndResize(box, image, cropSize) {\n const h = image.shape[1];\n const w = image.shape[2];\n const boxes = [[\n box.startPoint[1] / h, box.startPoint[0] / w, box.endPoint[1] / h,\n box.endPoint[0] / w,\n ]];\n return tf.image.cropAndResize(image, boxes, [0], cropSize);\n}\n\nexport function enlargeBox(box, factor = 1.5) {\n const center = getBoxCenter(box);\n const size = getBoxSize(box);\n const newHalfSize = [factor * size[0] / 2, factor * size[1] / 2];\n const startPoint = [center[0] - newHalfSize[0], center[1] - newHalfSize[1]];\n const endPoint = [center[0] + newHalfSize[0], center[1] + newHalfSize[1]];\n return { startPoint, endPoint, landmarks: box.landmarks };\n}\n\nexport function squarifyBox(box) {\n const centers = getBoxCenter(box);\n const size = getBoxSize(box);\n const maxEdge = Math.max(...size);\n const halfSize = maxEdge / 2;\n const startPoint = [centers[0] - halfSize, centers[1] - halfSize];\n const endPoint = [centers[0] + halfSize, centers[1] + halfSize];\n return { startPoint, endPoint, landmarks: box.landmarks };\n}\n", "export const IDENTITY_MATRIX = [[1, 0, 0], [0, 1, 0], [0, 0, 1]];\n/**\n * Normalizes the provided angle to the range -pi to pi.\n * @param angle The angle in radians to be normalized.\n */\nexport function normalizeRadians(angle) {\n return angle - 2 * Math.PI * Math.floor((angle + Math.PI) / (2 * Math.PI));\n}\n\n/**\n * Computes the angle of rotation between two anchor points.\n * @param point1 First anchor point\n * @param point2 Second anchor point\n */\nexport function computeRotation(point1, point2) {\n const radians = Math.PI / 2 - Math.atan2(-(point2[1] - point1[1]), point2[0] - point1[0]);\n return normalizeRadians(radians);\n}\n\nexport function radToDegrees(rad) {\n return rad * 180 / Math.PI;\n}\n\nexport function buildTranslationMatrix(x, y) {\n return [[1, 0, x], [0, 1, y], [0, 0, 1]];\n}\n\nexport function dot(v1, v2) {\n let product = 0;\n for (let i = 0; i < v1.length; i++) {\n product += v1[i] * v2[i];\n }\n return product;\n}\n\nexport function getColumnFrom2DArr(arr, columnIndex) {\n const column: Array = [];\n for (let i = 0; i < arr.length; i++) {\n column.push(arr[i][columnIndex]);\n }\n return column;\n}\n\nexport function multiplyTransformMatrices(mat1, mat2) {\n const product: Array = [];\n const size = mat1.length;\n for (let row = 0; row < size; row++) {\n product.push([]);\n for (let col = 0; col < size; col++) {\n product[row].push(dot(mat1[row], getColumnFrom2DArr(mat2, col)));\n }\n }\n return product;\n}\n\nexport function buildRotationMatrix(rotation, center) {\n const cosA = Math.cos(rotation);\n const sinA = Math.sin(rotation);\n const rotationMatrix = [[cosA, -sinA, 0], [sinA, cosA, 0], [0, 0, 1]];\n const translationMatrix = buildTranslationMatrix(center[0], center[1]);\n const translationTimesRotation = multiplyTransformMatrices(translationMatrix, rotationMatrix);\n const negativeTranslationMatrix = buildTranslationMatrix(-center[0], -center[1]);\n return multiplyTransformMatrices(translationTimesRotation, negativeTranslationMatrix);\n}\n\nexport function invertTransformMatrix(matrix) {\n const rotationComponent = [[matrix[0][0], matrix[1][0]], [matrix[0][1], matrix[1][1]]];\n const translationComponent = [matrix[0][2], matrix[1][2]];\n const invertedTranslation = [\n -dot(rotationComponent[0], translationComponent),\n -dot(rotationComponent[1], translationComponent),\n ];\n return [\n rotationComponent[0].concat(invertedTranslation[0]),\n rotationComponent[1].concat(invertedTranslation[1]),\n [0, 0, 1],\n ];\n}\n\nexport function rotatePoint(homogeneousCoordinate, rotationMatrix) {\n return [\n dot(homogeneousCoordinate, rotationMatrix[0]),\n dot(homogeneousCoordinate, rotationMatrix[1]),\n ];\n}\n\nexport function xyDistanceBetweenPoints(a, b) {\n return Math.sqrt(((a[0] - b[0]) ** 2) + ((a[1] - b[1]) ** 2));\n}\n", "export const MESH_ANNOTATIONS = {\n silhouette: [\n 10, 338, 297, 332, 284, 251, 389, 356, 454, 323, 361, 288,\n 397, 365, 379, 378, 400, 377, 152, 148, 176, 149, 150, 136,\n 172, 58, 132, 93, 234, 127, 162, 21, 54, 103, 67, 109,\n ],\n lipsUpperOuter: [61, 185, 40, 39, 37, 0, 267, 269, 270, 409, 291],\n lipsLowerOuter: [146, 91, 181, 84, 17, 314, 405, 321, 375, 291],\n lipsUpperInner: [78, 191, 80, 81, 82, 13, 312, 311, 310, 415, 308],\n lipsLowerInner: [78, 95, 88, 178, 87, 14, 317, 402, 318, 324, 308],\n rightEyeUpper0: [246, 161, 160, 159, 158, 157, 173],\n rightEyeLower0: [33, 7, 163, 144, 145, 153, 154, 155, 133],\n rightEyeUpper1: [247, 30, 29, 27, 28, 56, 190],\n rightEyeLower1: [130, 25, 110, 24, 23, 22, 26, 112, 243],\n rightEyeUpper2: [113, 225, 224, 223, 222, 221, 189],\n rightEyeLower2: [226, 31, 228, 229, 230, 231, 232, 233, 244],\n rightEyeLower3: [143, 111, 117, 118, 119, 120, 121, 128, 245],\n rightEyebrowUpper: [156, 70, 63, 105, 66, 107, 55, 193],\n rightEyebrowLower: [35, 124, 46, 53, 52, 65],\n rightEyeIris: [473, 474, 475, 476, 477],\n leftEyeUpper0: [466, 388, 387, 386, 385, 384, 398],\n leftEyeLower0: [263, 249, 390, 373, 374, 380, 381, 382, 362],\n leftEyeUpper1: [467, 260, 259, 257, 258, 286, 414],\n leftEyeLower1: [359, 255, 339, 254, 253, 252, 256, 341, 463],\n leftEyeUpper2: [342, 445, 444, 443, 442, 441, 413],\n leftEyeLower2: [446, 261, 448, 449, 450, 451, 452, 453, 464],\n leftEyeLower3: [372, 340, 346, 347, 348, 349, 350, 357, 465],\n leftEyebrowUpper: [383, 300, 293, 334, 296, 336, 285, 417],\n leftEyebrowLower: [265, 353, 276, 283, 282, 295],\n leftEyeIris: [468, 469, 470, 471, 472],\n midwayBetweenEyes: [168],\n noseTip: [1],\n noseBottom: [2],\n noseRightCorner: [98],\n noseLeftCorner: [327],\n rightCheek: [205],\n leftCheek: [425],\n};\n\nexport const MESH_TO_IRIS_INDICES_MAP = [ // A mapping from facemesh model keypoints to iris model keypoints.\n { key: 'EyeUpper0', indices: [9, 10, 11, 12, 13, 14, 15] },\n { key: 'EyeUpper1', indices: [25, 26, 27, 28, 29, 30, 31] },\n { key: 'EyeUpper2', indices: [41, 42, 43, 44, 45, 46, 47] },\n { key: 'EyeLower0', indices: [0, 1, 2, 3, 4, 5, 6, 7, 8] },\n { key: 'EyeLower1', indices: [16, 17, 18, 19, 20, 21, 22, 23, 24] },\n { key: 'EyeLower2', indices: [32, 33, 34, 35, 36, 37, 38, 39, 40] },\n { key: 'EyeLower3', indices: [54, 55, 56, 57, 58, 59, 60, 61, 62] },\n // { key: 'EyebrowUpper', indices: [63, 64, 65, 66, 67, 68, 69, 70] },\n // { key: 'EyebrowLower', indices: [48, 49, 50, 51, 52, 53] },\n];\n\nexport const UV468 = [\n [0.499976992607117, 0.652534008026123],\n [0.500025987625122, 0.547487020492554],\n [0.499974012374878, 0.602371990680695],\n [0.482113003730774, 0.471979022026062],\n [0.500150978565216, 0.527155995368958],\n [0.499909996986389, 0.498252987861633],\n [0.499523013830185, 0.40106201171875],\n [0.289712011814117, 0.380764007568359],\n [0.499954998493195, 0.312398016452789],\n [0.499987006187439, 0.269918978214264],\n [0.500023007392883, 0.107050001621246],\n [0.500023007392883, 0.666234016418457],\n [0.5000159740448, 0.679224014282227],\n [0.500023007392883, 0.692348003387451],\n [0.499976992607117, 0.695277988910675],\n [0.499976992607117, 0.70593398809433],\n [0.499976992607117, 0.719385027885437],\n [0.499976992607117, 0.737019002437592],\n [0.499967992305756, 0.781370997428894],\n [0.499816000461578, 0.562981009483337],\n [0.473773002624512, 0.573909997940063],\n [0.104906998574734, 0.254140973091125],\n [0.365929991006851, 0.409575998783112],\n [0.338757991790771, 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0.924192011356354],\n [0.88577002286911, 0.615028977394104],\n [0.551338016986847, 0.695277988910675],\n [0.551980018615723, 0.704632043838501],\n [0.552887976169586, 0.715808033943176],\n [0.555167973041534, 0.730794012546539],\n [0.569944024085999, 0.767035007476807],\n [0.593203008174896, 0.685675978660583],\n [0.599261999130249, 0.681069016456604],\n [0.607599973678589, 0.677703022956848],\n [0.631937980651855, 0.663500010967255],\n [0.752032995223999, 0.601315021514893],\n [0.547226011753082, 0.420395016670227],\n [0.563543975353241, 0.359827995300293],\n [0.583841025829315, 0.368713974952698],\n [0.586614012718201, 0.692366003990173],\n [0.771915018558502, 0.683578014373779],\n [0.531597018241882, 0.352482974529266],\n [0.588370978832245, 0.804440975189209],\n [0.52079701423645, 0.442565023899078],\n [0.567984998226166, 0.493479013442993],\n [0.543282985687256, 0.819254994392395],\n [0.655317008495331, 0.745514988899231],\n [0.621008992195129, 0.574018001556396],\n [0.625559985637665, 0.78031200170517],\n [0.680198013782501, 0.570719003677368],\n [0.64276397228241, 0.604337990283966],\n [0.704662978649139, 0.621529996395111],\n [0.552012026309967, 0.862591981887817],\n [0.589071989059448, 0.508637011051178],\n [0.685944974422455, 0.775357007980347],\n [0.645735025405884, 0.812640011310577],\n [0.675342977046967, 0.703978002071381],\n [0.810858011245728, 0.646304965019226],\n [0.72012197971344, 0.714666962623596],\n [0.866151988506317, 0.682704985141754],\n [0.663187026977539, 0.644596993923187],\n [0.570082008838654, 0.466325998306274],\n [0.544561982154846, 0.548375964164734],\n [0.562758982181549, 0.558784961700439],\n [0.531987011432648, 0.530140042304993],\n [0.585271000862122, 0.335177004337311],\n [0.622952997684479, 0.32277899980545],\n [0.655896008014679, 0.320163011550903],\n [0.687132000923157, 0.322345972061157],\n [0.716481983661652, 0.333200991153717],\n [0.758756995201111, 0.382786989212036],\n [0.897013008594513, 0.468769013881683],\n [0.732392013072968, 0.424547016620636],\n [0.70211398601532, 0.433162987232208],\n [0.66652500629425, 0.433866024017334],\n [0.633504986763, 0.426087975502014],\n [0.603875994682312, 0.416586995124817],\n [0.579657971858978, 0.409945011138916],\n [0.992439985275269, 0.480777025222778],\n [0.567192018032074, 0.569419980049133],\n [0.54136598110199, 0.478899002075195],\n [0.526564002037048, 0.546118021011353],\n [0.523913025856018, 0.563830018043518],\n [0.531529009342194, 0.555056989192963],\n [0.566035985946655, 0.582329034805298],\n [0.51631098985672, 0.563053965568542],\n [0.5174720287323, 0.577877044677734],\n [0.573594987392426, 0.389806985855103],\n [0.560697972774506, 0.395331978797913],\n [0.549755990505219, 0.399751007556915],\n [0.710287988185883, 0.368252992630005],\n [0.723330020904541, 0.363372981548309],\n];\n\nexport const TRI468 = [\n 127, 34, 139, 11, 0, 37, 232, 231, 120, 72, 37, 39, 128, 121, 47, 232, 121, 128, 104, 69, 67, 175, 171, 148, 157, 154, 155, 118, 50, 101, 73, 39, 40, 9,\n 151, 108, 48, 115, 131, 194, 204, 211, 74, 40, 185, 80, 42, 183, 40, 92, 186, 230, 229, 118, 202, 212, 214, 83, 18, 17, 76, 61, 146, 160, 29, 30, 56,\n 157, 173, 106, 204, 194, 135, 214, 192, 203, 165, 98, 21, 71, 68, 51, 45, 4, 144, 24, 23, 77, 146, 91, 205, 50, 187, 201, 200, 18, 91, 106, 182, 90, 91,\n 181, 85, 84, 17, 206, 203, 36, 148, 171, 140, 92, 40, 39, 193, 189, 244, 159, 158, 28, 247, 246, 161, 236, 3, 196, 54, 68, 104, 193, 168, 8, 117,\n 228, 31, 189, 193, 55, 98, 97, 99, 126, 47, 100, 166, 79, 218, 155, 154, 26, 209, 49, 131, 135, 136, 150, 47, 126, 217, 223, 52, 53, 45, 51, 134, 211,\n 170, 140, 67, 69, 108, 43, 106, 91, 230, 119, 120, 226, 130, 247, 63, 53, 52, 238, 20, 242, 46, 70, 156, 78, 62, 96, 46, 53, 63, 143, 34, 227, 173,\n 155, 133, 123, 117, 111, 44, 125, 19, 236, 134, 51, 216, 206, 205, 154, 153, 22, 39, 37, 167, 200, 201, 208, 36, 142, 100, 57, 212, 202, 20, 60, 99, 28,\n 158, 157, 35, 226, 113, 160, 159, 27, 204, 202, 210, 113, 225, 46, 43, 202, 204, 62, 76, 77, 137, 123, 116, 41, 38, 72, 203, 129, 142, 64, 98, 240, 49,\n 102, 64, 41, 73, 74, 212, 216, 207, 42, 74, 184, 169, 170, 211, 170, 149, 176, 105, 66, 69, 122, 6, 168, 123, 147, 187, 96, 77, 90, 65, 55, 107, 89,\n 90, 180, 101, 100, 120, 63, 105, 104, 93, 137, 227, 15, 86, 85, 129, 102, 49, 14, 87, 86, 55, 8, 9, 100, 47, 121, 145, 23, 22, 88, 89, 179, 6, 122,\n 196, 88, 95, 96, 138, 172, 136, 215, 58, 172, 115, 48, 219, 42, 80, 81, 195, 3, 51, 43, 146, 61, 171, 175, 199, 81, 82, 38, 53, 46, 225, 144, 163, 110,\n 246, 33, 7, 52, 65, 66, 229, 228, 117, 34, 127, 234, 107, 108, 69, 109, 108, 151, 48, 64, 235, 62, 78, 191, 129, 209, 126, 111, 35, 143, 163, 161, 246,\n 117, 123, 50, 222, 65, 52, 19, 125, 141, 221, 55, 65, 3, 195, 197, 25, 7, 33, 220, 237, 44, 70, 71, 139, 122, 193, 245, 247, 130, 33, 71, 21, 162,\n 153, 158, 159, 170, 169, 150, 188, 174, 196, 216, 186, 92, 144, 160, 161, 2, 97, 167, 141, 125, 241, 164, 167, 37, 72, 38, 12, 145, 159, 160, 38, 82, 13,\n 63, 68, 71, 226, 35, 111, 158, 153, 154, 101, 50, 205, 206, 92, 165, 209, 198, 217, 165, 167, 97, 220, 115, 218, 133, 112, 243, 239, 238, 241, 214,\n 135, 169, 190, 173, 133, 171, 208, 32, 125, 44, 237, 86, 87, 178, 85, 86, 179, 84, 85, 180, 83, 84, 181, 201, 83, 182, 137, 93, 132, 76, 62, 183, 61,\n 76, 184, 57, 61, 185, 212, 57, 186, 214, 207, 187, 34, 143, 156, 79, 239, 237, 123, 137, 177, 44, 1, 4, 201, 194, 32, 64, 102, 129, 213, 215, 138, 59,\n 166, 219, 242, 99, 97, 2, 94, 141, 75, 59, 235, 24, 110, 228, 25, 130, 226, 23, 24, 229, 22, 23, 230, 26, 22, 231, 112, 26, 232, 189, 190, 243, 221, 56,\n 190, 28, 56, 221, 27, 28, 222, 29, 27, 223, 30, 29, 224, 247, 30, 225, 238, 79, 20, 166, 59, 75, 60, 75, 240, 147, 177, 215, 20, 79, 166, 187, 147, 213,\n 112, 233, 244, 233, 128, 245, 128, 114, 188, 114, 217, 174, 131, 115, 220, 217, 198, 236, 198, 131, 134, 177, 132, 58, 143, 35, 124, 110, 163, 7, 228,\n 110, 25, 356, 389, 368, 11, 302, 267, 452, 350, 349, 302, 303, 269, 357, 343, 277, 452, 453, 357, 333, 332, 297, 175, 152, 377, 384, 398, 382, 347,\n 348, 330, 303, 304, 270, 9, 336, 337, 278, 279, 360, 418, 262, 431, 304, 408, 409, 310, 415, 407, 270, 409, 410, 450, 348, 347, 422, 430, 434, 313,\n 314, 17, 306, 307, 375, 387, 388, 260, 286, 414, 398, 335, 406, 418, 364, 367, 416, 423, 358, 327, 251, 284, 298, 281, 5, 4, 373, 374, 253, 307, 320,\n 321, 425, 427, 411, 421, 313, 18, 321, 405, 406, 320, 404, 405, 315, 16, 17, 426, 425, 266, 377, 400, 369, 322, 391, 269, 417, 465, 464, 386, 257, 258,\n 466, 260, 388, 456, 399, 419, 284, 332, 333, 417, 285, 8, 346, 340, 261, 413, 441, 285, 327, 460, 328, 355, 371, 329, 392, 439, 438, 382, 341, 256,\n 429, 420, 360, 364, 394, 379, 277, 343, 437, 443, 444, 283, 275, 440, 363, 431, 262, 369, 297, 338, 337, 273, 375, 321, 450, 451, 349, 446, 342, 467,\n 293, 334, 282, 458, 461, 462, 276, 353, 383, 308, 324, 325, 276, 300, 293, 372, 345, 447, 382, 398, 362, 352, 345, 340, 274, 1, 19, 456, 248, 281, 436,\n 427, 425, 381, 256, 252, 269, 391, 393, 200, 199, 428, 266, 330, 329, 287, 273, 422, 250, 462, 328, 258, 286, 384, 265, 353, 342, 387, 259, 257, 424,\n 431, 430, 342, 353, 276, 273, 335, 424, 292, 325, 307, 366, 447, 345, 271, 303, 302, 423, 266, 371, 294, 455, 460, 279, 278, 294, 271, 272, 304, 432,\n 434, 427, 272, 407, 408, 394, 430, 431, 395, 369, 400, 334, 333, 299, 351, 417, 168, 352, 280, 411, 325, 319, 320, 295, 296, 336, 319, 403, 404, 330,\n 348, 349, 293, 298, 333, 323, 454, 447, 15, 16, 315, 358, 429, 279, 14, 15, 316, 285, 336, 9, 329, 349, 350, 374, 380, 252, 318, 402, 403, 6, 197, 419,\n 318, 319, 325, 367, 364, 365, 435, 367, 397, 344, 438, 439, 272, 271, 311, 195, 5, 281, 273, 287, 291, 396, 428, 199, 311, 271, 268, 283, 444, 445,\n 373, 254, 339, 263, 466, 249, 282, 334, 296, 449, 347, 346, 264, 447, 454, 336, 296, 299, 338, 10, 151, 278, 439, 455, 292, 407, 415, 358, 371, 355,\n 340, 345, 372, 390, 249, 466, 346, 347, 280, 442, 443, 282, 19, 94, 370, 441, 442, 295, 248, 419, 197, 263, 255, 359, 440, 275, 274, 300, 383, 368,\n 351, 412, 465, 263, 467, 466, 301, 368, 389, 380, 374, 386, 395, 378, 379, 412, 351, 419, 436, 426, 322, 373, 390, 388, 2, 164, 393, 370, 462, 461,\n 164, 0, 267, 302, 11, 12, 374, 373, 387, 268, 12, 13, 293, 300, 301, 446, 261, 340, 385, 384, 381, 330, 266, 425, 426, 423, 391, 429, 355, 437, 391,\n 327, 326, 440, 457, 438, 341, 382, 362, 459, 457, 461, 434, 430, 394, 414, 463, 362, 396, 369, 262, 354, 461, 457, 316, 403, 402, 315, 404, 403, 314,\n 405, 404, 313, 406, 405, 421, 418, 406, 366, 401, 361, 306, 408, 407, 291, 409, 408, 287, 410, 409, 432, 436, 410, 434, 416, 411, 264, 368, 383, 309,\n 438, 457, 352, 376, 401, 274, 275, 4, 421, 428, 262, 294, 327, 358, 433, 416, 367, 289, 455, 439, 462, 370, 326, 2, 326, 370, 305, 460, 455, 254,\n 449, 448, 255, 261, 446, 253, 450, 449, 252, 451, 450, 256, 452, 451, 341, 453, 452, 413, 464, 463, 441, 413, 414, 258, 442, 441, 257, 443, 442, 259,\n 444, 443, 260, 445, 444, 467, 342, 445, 459, 458, 250, 289, 392, 290, 290, 328, 460, 376, 433, 435, 250, 290, 392, 411, 416, 433, 341, 463, 464, 453,\n 464, 465, 357, 465, 412, 343, 412, 399, 360, 363, 440, 437, 399, 456, 420, 456, 363, 401, 435, 288, 372, 383, 353, 339, 255, 249, 448, 261, 255, 133,\n 243, 190, 133, 155, 112, 33, 246, 247, 33, 130, 25, 398, 384, 286, 362, 398, 414, 362, 463, 341, 263, 359, 467, 263, 249, 255, 466, 467, 260, 75, 60,\n 166, 238, 239, 79, 162, 127, 139, 72, 11, 37, 121, 232, 120, 73, 72, 39, 114, 128, 47, 233, 232, 128, 103, 104, 67, 152, 175, 148, 173, 157, 155,\n 119, 118, 101, 74, 73, 40, 107, 9, 108, 49, 48, 131, 32, 194, 211, 184, 74, 185, 191, 80, 183, 185, 40, 186, 119, 230, 118, 210, 202, 214, 84, 83, 17,\n 77, 76, 146, 161, 160, 30, 190, 56, 173, 182, 106, 194, 138, 135, 192, 129, 203, 98, 54, 21, 68, 5, 51, 4, 145, 144, 23, 90, 77, 91, 207, 205, 187, 83,\n 201, 18, 181, 91, 182, 180, 90, 181, 16, 85, 17, 205, 206, 36, 176, 148, 140, 165, 92, 39, 245, 193, 244, 27, 159, 28, 30, 247, 161, 174, 236, 196,\n 103, 54, 104, 55, 193, 8, 111, 117, 31, 221, 189, 55, 240, 98, 99, 142, 126, 100, 219, 166, 218, 112, 155, 26, 198, 209, 131, 169, 135, 150, 114, 47,\n 217, 224, 223, 53, 220, 45, 134, 32, 211, 140, 109, 67, 108, 146, 43, 91, 231, 230, 120, 113, 226, 247, 105, 63, 52, 241, 238, 242, 124, 46, 156, 95,\n 78, 96, 70, 46, 63, 116, 143, 227, 116, 123, 111, 1, 44, 19, 3, 236, 51, 207, 216, 205, 26, 154, 22, 165, 39, 167, 199, 200, 208, 101, 36, 100, 43,\n 57, 202, 242, 20, 99, 56, 28, 157, 124, 35, 113, 29, 160, 27, 211, 204, 210, 124, 113, 46, 106, 43, 204, 96, 62, 77, 227, 137, 116, 73, 41, 72, 36, 203,\n 142, 235, 64, 240, 48, 49, 64, 42, 41, 74, 214, 212, 207, 183, 42, 184, 210, 169, 211, 140, 170, 176, 104, 105, 69, 193, 122, 168, 50, 123, 187, 89, 96,\n 90, 66, 65, 107, 179, 89, 180, 119, 101, 120, 68, 63, 104, 234, 93, 227, 16, 15, 85, 209, 129, 49, 15, 14, 86, 107, 55, 9, 120, 100, 121, 153, 145, 22,\n 178, 88, 179, 197, 6, 196, 89, 88, 96, 135, 138, 136, 138, 215, 172, 218, 115, 219, 41, 42, 81, 5, 195, 51, 57, 43, 61, 208, 171, 199, 41, 81, 38,\n 224, 53, 225, 24, 144, 110, 105, 52, 66, 118, 229, 117, 227, 34, 234, 66, 107, 69, 10, 109, 151, 219, 48, 235, 183, 62, 191, 142, 129, 126, 116, 111,\n 143, 7, 163, 246, 118, 117, 50, 223, 222, 52, 94, 19, 141, 222, 221, 65, 196, 3, 197, 45, 220, 44, 156, 70, 139, 188, 122, 245, 139, 71, 162, 145,\n 153, 159, 149, 170, 150, 122, 188, 196, 206, 216, 92, 163, 144, 161, 164, 2, 167, 242, 141, 241, 0, 164, 37, 11, 72, 12, 144, 145, 160, 12, 38, 13, 70,\n 63, 71, 31, 226, 111, 157, 158, 154, 36, 101, 205, 203, 206, 165, 126, 209, 217, 98, 165, 97, 237, 220, 218, 237, 239, 241, 210, 214, 169, 140, 171, 32,\n 241, 125, 237, 179, 86, 178, 180, 85, 179, 181, 84, 180, 182, 83, 181, 194, 201, 182, 177, 137, 132, 184, 76, 183, 185, 61, 184, 186, 57, 185, 216, 212,\n 186, 192, 214, 187, 139, 34, 156, 218, 79, 237, 147, 123, 177, 45, 44, 4, 208, 201, 32, 98, 64, 129, 192, 213, 138, 235, 59, 219, 141, 242, 97, 97, 2,\n 141, 240, 75, 235, 229, 24, 228, 31, 25, 226, 230, 23, 229, 231, 22, 230, 232, 26, 231, 233, 112, 232, 244, 189, 243, 189, 221, 190, 222, 28, 221,\n 223, 27, 222, 224, 29, 223, 225, 30, 224, 113, 247, 225, 99, 60, 240, 213, 147, 215, 60, 20, 166, 192, 187, 213, 243, 112, 244, 244, 233, 245, 245,\n 128, 188, 188, 114, 174, 134, 131, 220, 174, 217, 236, 236, 198, 134, 215, 177, 58, 156, 143, 124, 25, 110, 7, 31, 228, 25, 264, 356, 368, 0, 11, 267,\n 451, 452, 349, 267, 302, 269, 350, 357, 277, 350, 452, 357, 299, 333, 297, 396, 175, 377, 381, 384, 382, 280, 347, 330, 269, 303, 270, 151, 9, 337,\n 344, 278, 360, 424, 418, 431, 270, 304, 409, 272, 310, 407, 322, 270, 410, 449, 450, 347, 432, 422, 434, 18, 313, 17, 291, 306, 375, 259, 387, 260,\n 424, 335, 418, 434, 364, 416, 391, 423, 327, 301, 251, 298, 275, 281, 4, 254, 373, 253, 375, 307, 321, 280, 425, 411, 200, 421, 18, 335, 321, 406,\n 321, 320, 405, 314, 315, 17, 423, 426, 266, 396, 377, 369, 270, 322, 269, 413, 417, 464, 385, 386, 258, 248, 456, 419, 298, 284, 333, 168, 417, 8,\n 448, 346, 261, 417, 413, 285, 326, 327, 328, 277, 355, 329, 309, 392, 438, 381, 382, 256, 279, 429, 360, 365, 364, 379, 355, 277, 437, 282, 443, 283,\n 281, 275, 363, 395, 431, 369, 299, 297, 337, 335, 273, 321, 348, 450, 349, 359, 446, 467, 283, 293, 282, 250, 458, 462, 300, 276, 383, 292, 308, 325,\n 283, 276, 293, 264, 372, 447, 346, 352, 340, 354, 274, 19, 363, 456, 281, 426, 436, 425, 380, 381, 252, 267, 269, 393, 421, 200, 428, 371, 266, 329,\n 432, 287, 422, 290, 250, 328, 385, 258, 384, 446, 265, 342, 386, 387, 257, 422, 424, 430, 445, 342, 276, 422, 273, 424, 306, 292, 307, 352, 366, 345,\n 268, 271, 302, 358, 423, 371, 327, 294, 460, 331, 279, 294, 303, 271, 304, 436, 432, 427, 304, 272, 408, 395, 394, 431, 378, 395, 400, 296, 334, 299,\n 6, 351, 168, 376, 352, 411, 307, 325, 320, 285, 295, 336, 320, 319, 404, 329, 330, 349, 334, 293, 333, 366, 323, 447, 316, 15, 315, 331, 358, 279,\n 317, 14, 316, 8, 285, 9, 277, 329, 350, 253, 374, 252, 319, 318, 403, 351, 6, 419, 324, 318, 325, 397, 367, 365, 288, 435, 397, 278, 344, 439, 310,\n 272, 311, 248, 195, 281, 375, 273, 291, 175, 396, 199, 312, 311, 268, 276, 283, 445, 390, 373, 339, 295, 282, 296, 448, 449, 346, 356, 264, 454, 337,\n 336, 299, 337, 338, 151, 294, 278, 455, 308, 292, 415, 429, 358, 355, 265, 340, 372, 388, 390, 466, 352, 346, 280, 295, 442, 282, 354, 19, 370, 285,\n 441, 295, 195, 248, 197, 457, 440, 274, 301, 300, 368, 417, 351, 465, 251, 301, 389, 385, 380, 386, 394, 395, 379, 399, 412, 419, 410, 436, 322, 387,\n 373, 388, 326, 2, 393, 354, 370, 461, 393, 164, 267, 268, 302, 12, 386, 374, 387, 312, 268, 13, 298, 293, 301, 265, 446, 340, 380, 385, 381, 280, 330,\n 425, 322, 426, 391, 420, 429, 437, 393, 391, 326, 344, 440, 438, 458, 459, 461, 364, 434, 394, 428, 396, 262, 274, 354, 457, 317, 316, 402, 316, 315,\n 403, 315, 314, 404, 314, 313, 405, 313, 421, 406, 323, 366, 361, 292, 306, 407, 306, 291, 408, 291, 287, 409, 287, 432, 410, 427, 434, 411, 372, 264,\n 383, 459, 309, 457, 366, 352, 401, 1, 274, 4, 418, 421, 262, 331, 294, 358, 435, 433, 367, 392, 289, 439, 328, 462, 326, 94, 2, 370, 289, 305, 455, 339,\n 254, 448, 359, 255, 446, 254, 253, 449, 253, 252, 450, 252, 256, 451, 256, 341, 452, 414, 413, 463, 286, 441, 414, 286, 258, 441, 258, 257, 442, 257,\n 259, 443, 259, 260, 444, 260, 467, 445, 309, 459, 250, 305, 289, 290, 305, 290, 460, 401, 376, 435, 309, 250, 392, 376, 411, 433, 453, 341, 464, 357,\n 453, 465, 343, 357, 412, 437, 343, 399, 344, 360, 440, 420, 437, 456, 360, 420, 363, 361, 401, 288, 265, 372, 353, 390, 339, 249, 339, 448, 255];\n\nexport const TRI68 = [0, 1, 36, 0, 36, 17, 1, 2, 41, 1, 41, 36, 2, 3, 31, 2, 31, 41, 3, 4, 48, 3, 48, 31, 4, 5, 48, 5, 6, 48, 6, 7, 59, 6, 59, 48, 7, 8, 58, 7, 58, 59,\n 8, 9, 56, 8, 56, 57, 8, 57, 58, 9, 10, 55, 9, 55, 56, 10, 11, 54, 10, 54, 55, 11, 12, 54, 12, 13, 54, 13, 14, 35, 13, 35, 54, 14, 15, 46, 14, 46, 35, 15, 16,\n 45, 15, 45, 46, 16, 26, 45, 17, 36, 18, 18, 37, 19, 18, 36, 37, 19, 38, 20, 19, 37, 38, 20, 39, 21, 20, 38, 39, 21, 39, 27, 22, 42, 23, 22, 27, 42, 23, 43, 24,\n 23, 42, 43, 24, 44, 25, 24, 43, 44, 25, 45, 26, 25, 44, 45, 27, 39, 28, 27, 28, 42, 28, 39, 29, 28, 29, 42, 29, 31, 30, 29, 30, 35, 29, 40, 31, 29, 35, 47, 29,\n 39, 40, 29, 47, 42, 30, 31, 32, 30, 32, 33, 30, 33, 34, 30, 34, 35, 31, 50, 32, 31, 40, 41, 31, 48, 49, 31, 49, 50, 32, 51, 33, 32, 50, 51, 33, 51, 34, 34, 52,\n 35, 34, 51, 52, 35, 46, 47, 35, 52, 53, 35, 53, 54, 36, 41, 37, 37, 40, 38, 37, 41, 40, 38, 40, 39, 42, 47, 43, 43, 47, 44, 44, 46, 45, 44, 47, 46, 48, 60, 49,\n 48, 59, 60, 49, 61, 50, 49, 60, 61, 50, 62, 51, 50, 61, 62, 51, 62, 52, 52, 63, 53, 52, 62, 63, 53, 64, 54, 53, 63, 64, 54, 64, 55, 55, 65, 56, 55, 64, 65, 56,\n 66, 57, 56, 65, 66, 57, 66, 58, 58, 67, 59, 58, 66, 67, 59, 67, 60, 60, 67, 61, 61, 66, 62, 61, 67, 66, 62, 66, 63, 63, 65, 64, 63, 66, 65, 21, 27, 22];\n\nexport const TRI33 = [\n /* eyes */ 0, 8, 7, 7, 8, 1, 2, 10, 9, 9, 10, 3,\n /* brows */ 17, 0, 18, 18, 0, 7, 18, 7, 19, 19, 7, 1, 19, 1, 11, 19, 11, 20, 21, 3, 22, 21, 9, 3, 20, 9, 21, 20, 2, 9, 20, 11, 2,\n /* 4head */ 23, 17, 18, 25, 21, 22, 24, 19, 20, 24, 18, 19, 24, 20, 21, 24, 23, 18, 24, 21, 25,\n /* nose */ 11, 12, 4, 11, 4, 13, 1, 12, 11, 11, 13, 2, 12, 14, 4, 4, 14, 13,\n /* up-lip */ 14, 5, 15, 14, 15, 6, 12, 5, 14, 14, 6, 13,\n /* cheeks */ 8, 12, 1, 2, 13, 10, 8, 26, 12, 10, 13, 27, 26, 5, 12, 13, 6, 27, 0, 26, 8, 10, 27, 3,\n /* chin */ 5, 32, 16, 16, 32, 6, 5, 30, 32, 6, 32, 31,\n /* cont */ 26, 30, 5, 27, 6, 31, 0, 28, 26, 3, 27, 29, 17, 28, 0, 3, 29, 22, 23, 28, 17, 22, 29, 25, 28, 30, 26, 27, 31, 29,\n];\n\nexport const TRI7 = [0, 4, 1, 2, 4, 3, 4, 5, 6];\n\nexport const VTX68 = [\n /* cont */ 127, 234, 132, 58, 172, 150, 149, 148, 152, 377, 378, 379, 397, 288, 361, 454, 356,\n /* brows */ 70, 63, 105, 66, 107, 336, 296, 334, 293, 300,\n /* nose */ 168, 6, 195, 4, 98, 97, 2, 326, 327,\n /* eyes */ 33, 160, 158, 133, 153, 144, 362, 385, 387, 263, 373, 380,\n /* lip */ 57, 40, 37, 0, 267, 270, 287, 321, 314, 17, 84, 91,\n /* mouth */ 78, 81, 13, 311, 308, 402, 14, 178,\n];\n\nexport const VTX33 = [33, 133, 362, 263, 1, 62, 308, 159, 145, 386, 374, 6, 102, 331, 2, 13, 14, 70, 105, 107, 336, 334, 300, 54, 10, 284, 50, 280, 234, 454, 58, 288, 152];\n\nexport const VTX7 = [33, 133, 362, 263, 1, 78, 308];\n\nexport const UV68 = VTX68.map((x) => UV468[x]);\n\nexport const UV33 = VTX33.map((x) => UV468[x]);\n\nexport const UV7 = VTX7.map((x) => UV468[x]);\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as profile from '../profile';\n\nexport class FaceBoxes {\n enlarge: number;\n model: any;\n config: any;\n\n constructor(model, config) {\n this.enlarge = 1.1;\n this.model = model;\n this.config = config;\n }\n\n async estimateFaces(input, config) {\n if (config) this.config = config;\n const results: Array<{ confidence: number, box: any, boxRaw: any, image: any }> = [];\n const resizeT = tf.image.resizeBilinear(input, [this.config.face.detector.inputSize, this.config.face.detector.inputSize]);\n const castT = resizeT.toInt();\n let scores;\n let boxes;\n if (!config.profile) {\n const [scoresT, boxesT, numT] = await this.model.executeAsync(castT);\n scores = scoresT.dataSync();\n const squeezeT = boxesT.squeeze();\n boxes = squeezeT.arraySync();\n scoresT.dispose();\n boxesT.dispose();\n squeezeT.dispose();\n numT.dispose();\n } else {\n const profileData = await tf.profile(() => this.model.executeAsync(castT));\n scores = profileData.result[0].dataSync();\n const squeezeT = profileData.result[1].squeeze();\n boxes = squeezeT.arraySync();\n profileData.result.forEach((t) => t.dispose());\n profile.run('faceboxes', profileData);\n }\n castT.dispose();\n resizeT.dispose();\n for (const i in boxes) {\n if (scores[i] && scores[i] > this.config.face.detector.minConfidence) {\n const crop = [boxes[i][0] / this.enlarge, boxes[i][1] / this.enlarge, boxes[i][2] * this.enlarge, boxes[i][3] * this.enlarge];\n const boxRaw = [crop[1], crop[0], (crop[3]) - (crop[1]), (crop[2]) - (crop[0])];\n const box = [\n parseInt((boxRaw[0] * input.shape[2]).toString()),\n parseInt((boxRaw[1] * input.shape[1]).toString()),\n parseInt((boxRaw[2] * input.shape[2]).toString()),\n parseInt((boxRaw[3] * input.shape[1]).toString())];\n const resized = tf.image.cropAndResize(input, [crop], [0], [this.config.face.detector.inputSize, this.config.face.detector.inputSize]);\n const image = resized.div([255]);\n resized.dispose();\n results.push({ confidence: scores[i], box, boxRaw: this.config.face.mesh.returnRawData ? boxRaw : null, image });\n // add mesh, meshRaw, annotations,\n }\n }\n return results;\n }\n}\n\nexport async function load(config) {\n const model = await tf.loadGraphModel(config.face.detector.modelPath);\n log(`load model: ${config.face.detector.modelPath.match(/\\/(.*)\\./)[1]}`);\n const faceboxes = new FaceBoxes(model, config);\n if (config.face.mesh.enabled) log(`load model: ${config.face.mesh.modelPath.match(/\\/(.*)\\./)[1]}`);\n if (config.face.iris.enabled) log(`load model: ${config.face.iris.modelPath.match(/\\/(.*)\\./)[1]}`);\n return faceboxes;\n}\n", "import { log } from './log';\n\nexport const data = {};\n\nexport function run(name: string, raw: any) {\n if (!raw || !raw.kernels) return;\n const maxResults = 5;\n const time = raw.kernels\n .filter((a) => a.kernelTimeMs > 0)\n .reduce((a, b) => a += b.kernelTimeMs, 0);\n const slowest = raw.kernels\n .map((a, i) => { a.id = i; return a; })\n .filter((a) => a.kernelTimeMs > 0)\n .sort((a, b) => b.kernelTimeMs - a.kernelTimeMs);\n const largest = raw.kernels\n .map((a, i) => { a.id = i; return a; })\n .filter((a) => a.totalBytesSnapshot > 0)\n .sort((a, b) => b.totalBytesSnapshot - a.totalBytesSnapshot);\n if (slowest.length > maxResults) slowest.length = maxResults;\n if (largest.length > maxResults) largest.length = maxResults;\n const res = { newBytes: raw.newBytes, newTensors: raw.newTensors, peakBytes: raw.peakBytes, numKernelOps: raw.kernels.length, timeKernelOps: time, slowestKernelOps: slowest, largestKernelOps: largest };\n data[name] = res;\n log('Human profiler', name, res);\n}\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as profile from '../profile';\n\nlet model;\nlet last = { age: 0 };\nlet skipped = Number.MAX_SAFE_INTEGER;\n\nexport async function load(config) {\n if (!model) {\n model = await tf.loadGraphModel(config.face.age.modelPath);\n log(`load model: ${config.face.age.modelPath.match(/\\/(.*)\\./)[1]}`);\n }\n return model;\n}\n\nexport async function predict(image, config) {\n if (!model) return null;\n if ((skipped < config.face.age.skipFrames) && config.videoOptimized && last.age && (last.age > 0)) {\n skipped++;\n return last;\n }\n if (config.videoOptimized) skipped = 0;\n else skipped = Number.MAX_SAFE_INTEGER;\n return new Promise(async (resolve) => {\n /*\n const zoom = [0, 0]; // 0..1 meaning 0%..100%\n const box = [[\n (image.shape[1] * zoom[0]) / image.shape[1],\n (image.shape[2] * zoom[1]) / image.shape[2],\n (image.shape[1] - (image.shape[1] * zoom[0])) / image.shape[1],\n (image.shape[2] - (image.shape[2] * zoom[1])) / image.shape[2],\n ]];\n const resize = tf.image.cropAndResize(image, box, [0], [config.face.age.inputSize, config.face.age.inputSize]);\n */\n const resize = tf.image.resizeBilinear(image, [config.face.age.inputSize, config.face.age.inputSize], false);\n const enhance = tf.mul(resize, [255.0]);\n tf.dispose(resize);\n\n let ageT;\n const obj = { age: 0 };\n\n if (!config.profile) {\n if (config.face.age.enabled) ageT = await model.predict(enhance);\n } else {\n const profileAge = config.face.age.enabled ? await tf.profile(() => model.predict(enhance)) : {};\n ageT = profileAge.result.clone();\n profileAge.result.dispose();\n profile.run('age', profileAge);\n }\n enhance.dispose();\n\n if (ageT) {\n const data = ageT.dataSync();\n obj.age = Math.trunc(10 * data[0]) / 10;\n }\n ageT.dispose();\n\n last = obj;\n resolve(obj);\n });\n}\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as profile from '../profile';\n\nlet model;\nlet last = { gender: '' };\nlet skipped = Number.MAX_SAFE_INTEGER;\nlet alternative = false;\n\n// tuning values\nconst rgb = [0.2989, 0.5870, 0.1140]; // factors for red/green/blue colors when converting to grayscale\n\nexport async function load(config) {\n if (!model) {\n model = await tf.loadGraphModel(config.face.gender.modelPath);\n alternative = model.inputs[0].shape[3] === 1;\n log(`load model: ${config.face.gender.modelPath.match(/\\/(.*)\\./)[1]}`);\n }\n return model;\n}\n\nexport async function predict(image, config) {\n if (!model) return null;\n if ((skipped < config.face.gender.skipFrames) && config.videoOptimized && last.gender !== '') {\n skipped++;\n return last;\n }\n if (config.videoOptimized) skipped = 0;\n else skipped = Number.MAX_SAFE_INTEGER;\n return new Promise(async (resolve) => {\n const resize = tf.image.resizeBilinear(image, [config.face.gender.inputSize, config.face.gender.inputSize], false);\n let enhance;\n if (alternative) {\n enhance = tf.tidy(() => {\n const [red, green, blue] = tf.split(resize, 3, 3);\n const redNorm = tf.mul(red, rgb[0]);\n const greenNorm = tf.mul(green, rgb[1]);\n const blueNorm = tf.mul(blue, rgb[2]);\n const grayscale = tf.addN([redNorm, greenNorm, blueNorm]);\n return grayscale.sub(0.5).mul(2);\n });\n } else {\n enhance = tf.mul(resize, [255.0]);\n }\n tf.dispose(resize);\n\n let genderT;\n const obj = { gender: '', confidence: 0 };\n\n if (!config.profile) {\n if (config.face.gender.enabled) genderT = await model.predict(enhance);\n } else {\n const profileGender = config.face.gender.enabled ? await tf.profile(() => model.predict(enhance)) : {};\n genderT = profileGender.result.clone();\n profileGender.result.dispose();\n profile.run('gender', profileGender);\n }\n enhance.dispose();\n\n if (genderT) {\n const data = genderT.dataSync();\n if (alternative) {\n // returns two values 0..1, bigger one is prediction\n const confidence = Math.trunc(100 * Math.abs(data[0] - data[1])) / 100;\n if (confidence > config.face.gender.minConfidence) {\n obj.gender = data[0] > data[1] ? 'female' : 'male';\n obj.confidence = confidence;\n }\n } else {\n // returns one value 0..1, .5 is prediction threshold\n const confidence = Math.trunc(200 * Math.abs((data[0] - 0.5))) / 100;\n if (confidence > config.face.gender.minConfidence) {\n obj.gender = data[0] <= 0.5 ? 'female' : 'male';\n obj.confidence = Math.min(0.99, confidence);\n }\n }\n }\n genderT.dispose();\n\n last = obj;\n resolve(obj);\n });\n}\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as profile from '../profile';\n\nconst annotations = ['angry', 'disgust', 'fear', 'happy', 'sad', 'surprise', 'neutral'];\nlet model;\nlet last: Array<{ score: number, emotion: string }> = [];\nlet skipped = Number.MAX_SAFE_INTEGER;\n\n// tuning values\nconst rgb = [0.2989, 0.5870, 0.1140]; // factors for red/green/blue colors when converting to grayscale\nconst scale = 1; // score multiplication factor\n\nexport async function load(config) {\n if (!model) {\n model = await tf.loadGraphModel(config.face.emotion.modelPath);\n log(`load model: ${config.face.emotion.modelPath.match(/\\/(.*)\\./)[1]}`);\n }\n return model;\n}\n\nexport async function predict(image, config) {\n if (!model) return null;\n if ((skipped < config.face.emotion.skipFrames) && config.videoOptimized && (last.length > 0)) {\n skipped++;\n return last;\n }\n if (config.videoOptimized) skipped = 0;\n else skipped = Number.MAX_SAFE_INTEGER;\n return new Promise(async (resolve) => {\n /*\n const zoom = [0, 0]; // 0..1 meaning 0%..100%\n const box = [[\n (image.shape[1] * zoom[0]) / image.shape[1],\n (image.shape[2] * zoom[1]) / image.shape[2],\n (image.shape[1] - (image.shape[1] * zoom[0])) / image.shape[1],\n (image.shape[2] - (image.shape[2] * zoom[1])) / image.shape[2],\n ]];\n const resize = tf.image.cropAndResize(image, box, [0], [config.face.emotion.inputSize, config.face.emotion.inputSize]);\n */\n const resize = tf.image.resizeBilinear(image, [config.face.emotion.inputSize, config.face.emotion.inputSize], false);\n const [red, green, blue] = tf.split(resize, 3, 3);\n resize.dispose();\n // weighted rgb to grayscale: https://www.mathworks.com/help/matlab/ref/rgb2gray.html\n const redNorm = tf.mul(red, rgb[0]);\n const greenNorm = tf.mul(green, rgb[1]);\n const blueNorm = tf.mul(blue, rgb[2]);\n red.dispose();\n green.dispose();\n blue.dispose();\n const grayscale = tf.addN([redNorm, greenNorm, blueNorm]);\n redNorm.dispose();\n greenNorm.dispose();\n blueNorm.dispose();\n const normalize = tf.tidy(() => grayscale.sub(0.5).mul(2));\n grayscale.dispose();\n const obj: Array<{ score: number, emotion: string }> = [];\n if (config.face.emotion.enabled) {\n let data;\n if (!config.profile) {\n const emotionT = await model.predict(normalize);\n data = emotionT.dataSync();\n tf.dispose(emotionT);\n } else {\n const profileData = await tf.profile(() => model.predict(normalize));\n data = profileData.result.dataSync();\n profileData.result.dispose();\n profile.run('emotion', profileData);\n }\n for (let i = 0; i < data.length; i++) {\n if (scale * data[i] > config.face.emotion.minConfidence) obj.push({ score: Math.min(0.99, Math.trunc(100 * scale * data[i]) / 100), emotion: annotations[i] });\n }\n obj.sort((a, b) => b.score - a.score);\n }\n normalize.dispose();\n last = obj;\n resolve(obj);\n });\n}\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as profile from '../profile';\n\n// based on https://github.com/sirius-ai/MobileFaceNet_TF\n// model converted from https://github.com/sirius-ai/MobileFaceNet_TF/files/3551493/FaceMobileNet192_train_false.zip\n\nlet model;\n\nexport async function load(config) {\n if (!model) {\n model = await tf.loadGraphModel(config.face.embedding.modelPath);\n log(`load model: ${config.face.embedding.modelPath.match(/\\/(.*)\\./)[1]}`);\n }\n return model;\n}\n\nexport function simmilarity(embedding1, embedding2) {\n if (embedding1?.length !== embedding2?.length) return 0;\n // general minkowski distance\n // euclidean distance is limited case where order is 2\n const order = 2;\n const distance = 10.0 * ((embedding1.map((val, i) => (val - embedding2[i])).reduce((dist, diff) => dist + (diff ** order), 0) ** (1 / order)));\n return (Math.trunc(1000 * (1 - distance)) / 1000);\n}\n\nexport async function predict(image, config) {\n if (!model) return null;\n return new Promise(async (resolve) => {\n const resize = tf.image.resizeBilinear(image, [config.face.embedding.inputSize, config.face.embedding.inputSize], false);\n // const normalize = tf.tidy(() => resize.div(127.5).sub(0.5)); // this is -0.5...0.5 ???\n let data: Array<[]> = [];\n if (config.face.embedding.enabled) {\n if (!config.profile) {\n const embeddingT = await model.predict({ img_inputs: resize });\n data = [...embeddingT.dataSync()]; // convert object array to standard array\n tf.dispose(embeddingT);\n } else {\n const profileData = await tf.profile(() => model.predict({ img_inputs: resize }));\n data = [...profileData.result.dataSync()];\n profileData.result.dispose();\n profile.run('emotion', profileData);\n }\n }\n resize.dispose();\n // normalize.dispose();\n resolve(data);\n });\n}\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as modelBase from './modelBase';\nimport * as decodeMultiple from './decodeMultiple';\nimport * as decodePose from './decodePose';\nimport * as util from './util';\n\nasync function estimateMultiple(input, res, config) {\n return new Promise(async (resolve) => {\n const height = input.shape[1];\n const width = input.shape[2];\n const allTensorBuffers = await util.toTensorBuffers3D([res.heatmapScores, res.offsets, res.displacementFwd, res.displacementBwd]);\n const scoresBuffer = allTensorBuffers[0];\n const offsetsBuffer = allTensorBuffers[1];\n const displacementsFwdBuffer = allTensorBuffers[2];\n const displacementsBwdBuffer = allTensorBuffers[3];\n const poses = await decodeMultiple.decodeMultiplePoses(scoresBuffer, offsetsBuffer, displacementsFwdBuffer, displacementsBwdBuffer, config);\n const scaled = util.scaleAndFlipPoses(poses, [height, width], [config.body.inputSize, config.body.inputSize]);\n resolve(scaled);\n });\n}\n\nasync function estimateSingle(input, res, config) {\n return new Promise(async (resolve) => {\n const height = input.shape[1];\n const width = input.shape[2];\n const pose = await decodePose.decodeSinglePose(res.heatmapScores, res.offsets, config);\n const poses = [pose];\n const scaled = util.scaleAndFlipPoses(poses, [height, width], [config.body.inputSize, config.body.inputSize]);\n resolve(scaled);\n });\n}\n\nexport class PoseNet {\n baseModel: any;\n constructor(model) {\n this.baseModel = model;\n }\n\n async estimatePoses(input, config) {\n const resized = util.resizeTo(input, [config.body.inputSize, config.body.inputSize]);\n const res = this.baseModel.predict(resized, config);\n\n const poses = (config.body.maxDetections < 2) ? await estimateSingle(input, res, config) : await estimateMultiple(input, res, config);\n\n res.heatmapScores.dispose();\n res.offsets.dispose();\n res.displacementFwd.dispose();\n res.displacementBwd.dispose();\n resized.dispose();\n\n return poses;\n }\n\n dispose() {\n this.baseModel.dispose();\n }\n}\n\nexport async function load(config) {\n const model = await tf.loadGraphModel(config.body.modelPath);\n const mobilenet = new modelBase.BaseModel(model);\n log(`load model: ${config.body.modelPath.match(/\\/(.*)\\./)[1]}`);\n return new PoseNet(mobilenet);\n}\n", "import * as tf from '../../dist/tfjs.esm.js';\n\nconst imageNetMean = [-123.15, -115.90, -103.06];\n\nfunction nameOutputResultsMobileNet(results) {\n const [offsets, heatmap, displacementFwd, displacementBwd] = results;\n return { offsets, heatmap, displacementFwd, displacementBwd };\n}\n\nfunction nameOutputResultsResNet(results) {\n const [displacementFwd, displacementBwd, offsets, heatmap] = results;\n return { offsets, heatmap, displacementFwd, displacementBwd };\n}\n\nexport class BaseModel {\n model: any;\n constructor(model) {\n this.model = model;\n }\n\n predict(input, config) {\n return tf.tidy(() => {\n const asFloat = (config.body.modelType === 'ResNet') ? input.toFloat().add(imageNetMean) : input.toFloat().div(127.5).sub(1.0);\n const asBatch = asFloat.expandDims(0);\n const results = this.model.predict(asBatch);\n const results3d = results.map((y) => y.squeeze([0]));\n const namedResults = (config.body.modelType === 'ResNet') ? nameOutputResultsResNet(results3d) : nameOutputResultsMobileNet(results3d);\n return {\n heatmapScores: namedResults.heatmap.sigmoid(),\n offsets: namedResults.offsets,\n displacementFwd: namedResults.displacementFwd,\n displacementBwd: namedResults.displacementBwd,\n };\n });\n }\n\n dispose() {\n this.model.dispose();\n }\n}\n", "// algorithm based on Coursera Lecture from Algorithms, Part 1: https://www.coursera.org/learn/algorithms-part1/lecture/ZjoSM/heapsort\nfunction half(k) {\n return Math.floor(k / 2);\n}\nexport class MaxHeap {\n priorityQueue: any;\n numberOfElements: number;\n getElementValue: any;\n\n constructor(maxSize, getElementValue) {\n this.priorityQueue = new Array(maxSize);\n this.numberOfElements = -1;\n this.getElementValue = getElementValue;\n }\n\n enqueue(x) {\n this.priorityQueue[++this.numberOfElements] = x;\n this.swim(this.numberOfElements);\n }\n\n dequeue() {\n const max = this.priorityQueue[0];\n this.exchange(0, this.numberOfElements--);\n this.sink(0);\n this.priorityQueue[this.numberOfElements + 1] = null;\n return max;\n }\n\n empty() {\n return this.numberOfElements === -1;\n }\n\n size() {\n return this.numberOfElements + 1;\n }\n\n all() {\n return this.priorityQueue.slice(0, this.numberOfElements + 1);\n }\n\n max() {\n return this.priorityQueue[0];\n }\n\n swim(k) {\n while (k > 0 && this.less(half(k), k)) {\n this.exchange(k, half(k));\n k = half(k);\n }\n }\n\n sink(k) {\n while (2 * k <= this.numberOfElements) {\n let j = 2 * k;\n if (j < this.numberOfElements && this.less(j, j + 1)) j++;\n if (!this.less(k, j)) break;\n this.exchange(k, j);\n k = j;\n }\n }\n\n getValueAt(i) {\n return this.getElementValue(this.priorityQueue[i]);\n }\n\n less(i, j) {\n return this.getValueAt(i) < this.getValueAt(j);\n }\n\n exchange(i, j) {\n const t = this.priorityQueue[i];\n this.priorityQueue[i] = this.priorityQueue[j];\n this.priorityQueue[j] = t;\n }\n}\n", "import * as heapSort from './heapSort';\n\nfunction scoreIsMaximumInLocalWindow(keypointId, score, heatmapY, heatmapX, localMaximumRadius, scores) {\n const [height, width] = scores.shape;\n let localMaximum = true;\n const yStart = Math.max(heatmapY - localMaximumRadius, 0);\n const yEnd = Math.min(heatmapY + localMaximumRadius + 1, height);\n for (let yCurrent = yStart; yCurrent < yEnd; ++yCurrent) {\n const xStart = Math.max(heatmapX - localMaximumRadius, 0);\n const xEnd = Math.min(heatmapX + localMaximumRadius + 1, width);\n for (let xCurrent = xStart; xCurrent < xEnd; ++xCurrent) {\n if (scores.get(yCurrent, xCurrent, keypointId) > score) {\n localMaximum = false;\n break;\n }\n }\n if (!localMaximum) break;\n }\n return localMaximum;\n}\n\nexport function buildPartWithScoreQueue(scoreThreshold, localMaximumRadius, scores) {\n const [height, width, numKeypoints] = scores.shape;\n const queue = new heapSort.MaxHeap(height * width * numKeypoints, ({ score }) => score);\n for (let heatmapY = 0; heatmapY < height; ++heatmapY) {\n for (let heatmapX = 0; heatmapX < width; ++heatmapX) {\n for (let keypointId = 0; keypointId < numKeypoints; ++keypointId) {\n const score = scores.get(heatmapY, heatmapX, keypointId);\n // Only consider parts with score greater or equal to threshold as root candidates.\n if (score < scoreThreshold) continue;\n // Only consider keypoints whose score is maximum in a local window.\n if (scoreIsMaximumInLocalWindow(keypointId, score, heatmapY, heatmapX, localMaximumRadius, scores)) {\n queue.enqueue({ score, part: { heatmapY, heatmapX, id: keypointId } });\n }\n }\n }\n }\n return queue;\n}\n", "import * as keypoints from './keypoints';\nimport * as vectors from './vectors';\nimport * as decoders from './decoders';\n\nconst parentChildrenTuples = keypoints.poseChain.map(([parentJoinName, childJoinName]) => ([keypoints.partIds[parentJoinName], keypoints.partIds[childJoinName]]));\nconst parentToChildEdges = parentChildrenTuples.map(([, childJointId]) => childJointId);\nconst childToParentEdges = parentChildrenTuples.map(([parentJointId]) => parentJointId);\nfunction getDisplacement(edgeId, point, displacements) {\n const numEdges = displacements.shape[2] / 2;\n return {\n y: displacements.get(point.y, point.x, edgeId),\n x: displacements.get(point.y, point.x, numEdges + edgeId),\n };\n}\nfunction getStridedIndexNearPoint(point, outputStride, height, width) {\n return {\n y: vectors.clamp(Math.round(point.y / outputStride), 0, height - 1),\n x: vectors.clamp(Math.round(point.x / outputStride), 0, width - 1),\n };\n}\n\nfunction traverseToTargetKeypoint(edgeId, sourceKeypoint, targetKeypointId, scoresBuffer, offsets, outputStride, displacements, offsetRefineStep = 2) {\n const [height, width] = scoresBuffer.shape;\n // Nearest neighbor interpolation for the source->target displacements.\n const sourceKeypointIndices = getStridedIndexNearPoint(sourceKeypoint.position, outputStride, height, width);\n const displacement = getDisplacement(edgeId, sourceKeypointIndices, displacements);\n const displacedPoint = vectors.addVectors(sourceKeypoint.position, displacement);\n let targetKeypoint = displacedPoint;\n for (let i = 0; i < offsetRefineStep; i++) {\n const targetKeypointIndices = getStridedIndexNearPoint(targetKeypoint, outputStride, height, width);\n const offsetPoint = vectors.getOffsetPoint(targetKeypointIndices.y, targetKeypointIndices.x, targetKeypointId, offsets);\n targetKeypoint = vectors.addVectors({\n x: targetKeypointIndices.x * outputStride,\n y: targetKeypointIndices.y * outputStride,\n }, { x: offsetPoint.x, y: offsetPoint.y });\n }\n const targetKeyPointIndices = getStridedIndexNearPoint(targetKeypoint, outputStride, height, width);\n const score = scoresBuffer.get(targetKeyPointIndices.y, targetKeyPointIndices.x, targetKeypointId);\n return { position: targetKeypoint, part: keypoints.partNames[targetKeypointId], score };\n}\n\nexport function decodePose(root, scores, offsets, outputStride, displacementsFwd, displacementsBwd) {\n const numParts = scores.shape[2];\n const numEdges = parentToChildEdges.length;\n const instanceKeypoints = new Array(numParts);\n // Start a new detection instance at the position of the root.\n const { part: rootPart, score: rootScore } = root;\n const rootPoint = vectors.getImageCoords(rootPart, outputStride, offsets);\n instanceKeypoints[rootPart.id] = {\n score: rootScore,\n part: keypoints.partNames[rootPart.id],\n position: rootPoint,\n };\n // Decode the part positions upwards in the tree, following the backward displacements.\n for (let edge = numEdges - 1; edge >= 0; --edge) {\n const sourceKeypointId = parentToChildEdges[edge];\n const targetKeypointId = childToParentEdges[edge];\n if (instanceKeypoints[sourceKeypointId] && !instanceKeypoints[targetKeypointId]) {\n instanceKeypoints[targetKeypointId] = traverseToTargetKeypoint(edge, instanceKeypoints[sourceKeypointId], targetKeypointId, scores, offsets, outputStride, displacementsBwd);\n }\n }\n // Decode the part positions downwards in the tree, following the forward displacements.\n for (let edge = 0; edge < numEdges; ++edge) {\n const sourceKeypointId = childToParentEdges[edge];\n const targetKeypointId = parentToChildEdges[edge];\n if (instanceKeypoints[sourceKeypointId] && !instanceKeypoints[targetKeypointId]) {\n instanceKeypoints[targetKeypointId] = traverseToTargetKeypoint(edge, instanceKeypoints[sourceKeypointId], targetKeypointId, scores, offsets, outputStride, displacementsFwd);\n }\n }\n return instanceKeypoints;\n}\n\nexport async function decodeSinglePose(heatmapScores, offsets, config) {\n let totalScore = 0.0;\n const heatmapValues = decoders.argmax2d(heatmapScores);\n const allTensorBuffers = await Promise.all([heatmapScores.buffer(), offsets.buffer(), heatmapValues.buffer()]);\n const scoresBuffer = allTensorBuffers[0];\n const offsetsBuffer = allTensorBuffers[1];\n const heatmapValuesBuffer = allTensorBuffers[2];\n const offsetPoints = decoders.getOffsetPoints(heatmapValuesBuffer, config.body.outputStride, offsetsBuffer);\n const offsetPointsBuffer = await offsetPoints.buffer();\n const keypointConfidence = Array.from(decoders.getPointsConfidence(scoresBuffer, heatmapValuesBuffer));\n const instanceKeypoints = keypointConfidence.map((score, i) => {\n totalScore += score;\n return {\n position: {\n y: offsetPointsBuffer.get(i, 0),\n x: offsetPointsBuffer.get(i, 1),\n },\n part: keypoints.partNames[i],\n score,\n };\n });\n const filteredKeypoints = instanceKeypoints.filter((kpt) => kpt.score > config.body.scoreThreshold);\n heatmapValues.dispose();\n offsetPoints.dispose();\n return { keypoints: filteredKeypoints, score: totalScore / instanceKeypoints.length };\n}\n", "import * as kpt from './keypoints';\n\nexport function getOffsetPoint(y, x, keypoint, offsets) {\n return {\n y: offsets.get(y, x, keypoint),\n x: offsets.get(y, x, keypoint + kpt.NUM_KEYPOINTS),\n };\n}\n\nexport function getImageCoords(part, outputStride, offsets) {\n const { heatmapY, heatmapX, id: keypoint } = part;\n const { y, x } = getOffsetPoint(heatmapY, heatmapX, keypoint, offsets);\n return {\n x: part.heatmapX * outputStride + x,\n y: part.heatmapY * outputStride + y,\n };\n}\n\nexport function fillArray(element, size) {\n const result = new Array(size);\n for (let i = 0; i < size; i++) {\n result[i] = element;\n }\n return result;\n}\n\nexport function clamp(a, min, max) {\n if (a < min) return min;\n if (a > max) return max;\n return a;\n}\n\nexport function squaredDistance(y1, x1, y2, x2) {\n const dy = y2 - y1;\n const dx = x2 - x1;\n return dy * dy + dx * dx;\n}\n\nexport function addVectors(a, b) {\n return { x: a.x + b.x, y: a.y + b.y };\n}\n\nexport function clampVector(a, min, max) {\n return { y: clamp(a.y, min, max), x: clamp(a.x, min, max) };\n}\n", "import * as tf from '../../dist/tfjs.esm.js';\nimport * as kpt from './keypoints';\n\nexport function getPointsConfidence(heatmapScores, heatMapCoords) {\n const numKeypoints = heatMapCoords.shape[0];\n const result = new Float32Array(numKeypoints);\n for (let keypoint = 0; keypoint < numKeypoints; keypoint++) {\n const y = heatMapCoords.get(keypoint, 0);\n const x = heatMapCoords.get(keypoint, 1);\n result[keypoint] = heatmapScores.get(y, x, keypoint);\n }\n return result;\n}\n\nfunction getOffsetPoint(y, x, keypoint, offsetsBuffer) {\n return {\n y: offsetsBuffer.get(y, x, keypoint),\n x: offsetsBuffer.get(y, x, keypoint + kpt.NUM_KEYPOINTS),\n };\n}\n\nexport function getOffsetVectors(heatMapCoordsBuffer, offsetsBuffer) {\n const result: Array = [];\n for (let keypoint = 0; keypoint < kpt.NUM_KEYPOINTS; keypoint++) {\n const heatmapY = heatMapCoordsBuffer.get(keypoint, 0).valueOf();\n const heatmapX = heatMapCoordsBuffer.get(keypoint, 1).valueOf();\n const { x, y } = getOffsetPoint(heatmapY, heatmapX, keypoint, offsetsBuffer);\n result.push(y);\n result.push(x);\n }\n return tf.tensor2d(result, [kpt.NUM_KEYPOINTS, 2]);\n}\n\nexport function getOffsetPoints(heatMapCoordsBuffer, outputStride, offsetsBuffer) {\n return tf.tidy(() => heatMapCoordsBuffer.toTensor().mul(tf.scalar(outputStride, 'int32')).toFloat().add(getOffsetVectors(heatMapCoordsBuffer, offsetsBuffer)));\n}\n\nfunction mod(a, b) {\n return tf.tidy(() => {\n const floored = a.div(tf.scalar(b, 'int32'));\n return a.sub(floored.mul(tf.scalar(b, 'int32')));\n });\n}\n\nexport function argmax2d(inputs) {\n const [height, width, depth] = inputs.shape;\n return tf.tidy(() => {\n const reshaped = inputs.reshape([height * width, depth]);\n const coords = reshaped.argMax(0);\n const yCoords = coords.div(tf.scalar(width, 'int32')).expandDims(1);\n const xCoords = mod(coords, width).expandDims(1);\n return tf.concat([yCoords, xCoords], 1);\n });\n}\n", "import * as buildParts from './buildParts';\nimport * as decodePose from './decodePose';\nimport * as vectors from './vectors';\n\nconst kLocalMaximumRadius = 1;\n\nfunction withinNmsRadiusOfCorrespondingPoint(poses, squaredNmsRadius, { x, y }, keypointId) {\n return poses.some(({ keypoints }) => {\n const correspondingKeypoint = keypoints[keypointId].position;\n return vectors.squaredDistance(y, x, correspondingKeypoint.y, correspondingKeypoint.x) <= squaredNmsRadius;\n });\n}\n\nfunction getInstanceScore(existingPoses, squaredNmsRadius, instanceKeypoints) {\n const notOverlappedKeypointScores = instanceKeypoints.reduce((result, { position, score }, keypointId) => {\n if (!withinNmsRadiusOfCorrespondingPoint(existingPoses, squaredNmsRadius, position, keypointId)) result += score;\n return result;\n }, 0.0);\n return notOverlappedKeypointScores / instanceKeypoints.length;\n}\n\nexport function decodeMultiplePoses(scoresBuffer, offsetsBuffer, displacementsFwdBuffer, displacementsBwdBuffer, config) {\n const poses: Array<{ keypoints: any, score: number }> = [];\n const queue = buildParts.buildPartWithScoreQueue(config.body.scoreThreshold, kLocalMaximumRadius, scoresBuffer);\n const squaredNmsRadius = config.body.nmsRadius ^ 2;\n // Generate at most maxDetections object instances per image in decreasing root part score order.\n while (poses.length < config.body.maxDetections && !queue.empty()) {\n // The top element in the queue is the next root candidate.\n const root = queue.dequeue();\n // Part-based non-maximum suppression: We reject a root candidate if it is within a disk of `nmsRadius` pixels from the corresponding part of a previously detected instance.\n const rootImageCoords = vectors.getImageCoords(root.part, config.body.outputStride, offsetsBuffer);\n if (withinNmsRadiusOfCorrespondingPoint(poses, squaredNmsRadius, rootImageCoords, root.part.id)) continue;\n // Else start a new detection instance at the position of the root.\n const keypoints = decodePose.decodePose(root, scoresBuffer, offsetsBuffer, config.body.outputStride, displacementsFwdBuffer, displacementsBwdBuffer);\n const score = getInstanceScore(poses, squaredNmsRadius, keypoints);\n if (score > config.body.scoreThreshold) poses.push({ keypoints, score });\n }\n return poses;\n}\n", "import * as kpt from './keypoints';\n\nexport function eitherPointDoesntMeetConfidence(a, b, minConfidence) {\n return (a < minConfidence || b < minConfidence);\n}\n\nexport function getAdjacentKeyPoints(keypoints, minConfidence) {\n return kpt.connectedPartIndices.reduce((result, [leftJoint, rightJoint]) => {\n if (eitherPointDoesntMeetConfidence(keypoints[leftJoint].score, keypoints[rightJoint].score, minConfidence)) {\n return result;\n }\n result.push([keypoints[leftJoint], keypoints[rightJoint]]);\n return result;\n }, []);\n}\n\nconst { NEGATIVE_INFINITY, POSITIVE_INFINITY } = Number;\nexport function getBoundingBox(keypoints) {\n return keypoints.reduce(({ maxX, maxY, minX, minY }, { position: { x, y } }) => ({\n maxX: Math.max(maxX, x),\n maxY: Math.max(maxY, y),\n minX: Math.min(minX, x),\n minY: Math.min(minY, y),\n }), {\n maxX: NEGATIVE_INFINITY,\n maxY: NEGATIVE_INFINITY,\n minX: POSITIVE_INFINITY,\n minY: POSITIVE_INFINITY,\n });\n}\n\nexport function getBoundingBoxPoints(keypoints) {\n const { minX, minY, maxX, maxY } = getBoundingBox(keypoints);\n return [{ x: minX, y: minY }, { x: maxX, y: minY }, { x: maxX, y: maxY }, { x: minX, y: maxY }];\n}\n\nexport async function toTensorBuffers3D(tensors) {\n return Promise.all(tensors.map((tensor) => tensor.buffer()));\n}\n\nexport function scalePose(pose, scaleY, scaleX) {\n return {\n score: pose.score,\n keypoints: pose.keypoints.map(({ score, part, position }) => ({\n score,\n part,\n position: { x: position.x * scaleX, y: position.y * scaleY },\n })),\n };\n}\n\nexport function resizeTo(image, [targetH, targetW]) {\n const input = image.squeeze(0);\n const resized = input.resizeBilinear([targetH, targetW]);\n input.dispose();\n return resized;\n}\n\nexport function scaleAndFlipPoses(poses, [height, width], [inputResolutionHeight, inputResolutionWidth]) {\n const scaledPoses = poses.map((pose) => scalePose(pose, height / inputResolutionHeight, width / inputResolutionWidth));\n return scaledPoses;\n}\n", "// https://storage.googleapis.com/tfjs-models/demos/handpose/index.html\n\nimport { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as handdetector from './handdetector';\nimport * as handpipeline from './handpipeline';\nimport * as anchors from './anchors';\n\nconst MESH_ANNOTATIONS = {\n thumb: [1, 2, 3, 4],\n indexFinger: [5, 6, 7, 8],\n middleFinger: [9, 10, 11, 12],\n ringFinger: [13, 14, 15, 16],\n pinky: [17, 18, 19, 20],\n palmBase: [0],\n};\n\nexport class HandPose {\n handPipeline: any;\n\n constructor(handPipeline) {\n this.handPipeline = handPipeline;\n }\n\n static getAnnotations() {\n return MESH_ANNOTATIONS;\n }\n\n async estimateHands(input, config) {\n const predictions = await this.handPipeline.estimateHands(input, config);\n if (!predictions) return [];\n const hands: Array<{ confidence: number, box: any, landmarks: any, annotations: any }> = [];\n for (const prediction of predictions) {\n const annotations = {};\n if (prediction.landmarks) {\n for (const key of Object.keys(MESH_ANNOTATIONS)) {\n annotations[key] = MESH_ANNOTATIONS[key].map((index) => prediction.landmarks[index]);\n }\n }\n const box = prediction.box ? [\n Math.max(0, prediction.box.topLeft[0]),\n Math.max(0, prediction.box.topLeft[1]),\n Math.min(input.shape[2], prediction.box.bottomRight[0]) - prediction.box.topLeft[0],\n Math.min(input.shape[1], prediction.box.bottomRight[1]) - prediction.box.topLeft[1],\n ] : 0;\n hands.push({ confidence: prediction.confidence, box, landmarks: prediction.landmarks, annotations });\n }\n return hands;\n }\n}\n\nexport async function load(config) {\n const [handDetectorModel, handPoseModel] = await Promise.all([\n config.hand.enabled ? tf.loadGraphModel(config.hand.detector.modelPath, { fromTFHub: config.hand.detector.modelPath.includes('tfhub.dev') }) : null,\n config.hand.landmarks ? tf.loadGraphModel(config.hand.skeleton.modelPath, { fromTFHub: config.hand.skeleton.modelPath.includes('tfhub.dev') }) : null,\n ]);\n const handDetector = new handdetector.HandDetector(handDetectorModel, config.hand.inputSize, anchors.anchors);\n const handPipeline = new handpipeline.HandPipeline(handDetector, handPoseModel, config.hand.inputSize);\n const handPose = new HandPose(handPipeline);\n if (config.hand.enabled) log(`load model: ${config.hand.detector.modelPath.match(/\\/(.*)\\./)[1]}`);\n if (config.hand.landmarks) log(`load model: ${config.hand.skeleton.modelPath.match(/\\/(.*)\\./)[1]}`);\n return handPose;\n}\n", "import * as tf from '../../dist/tfjs.esm.js';\nimport * as box from './box';\n\nexport class HandDetector {\n model: any;\n anchors: any;\n anchorsTensor: any;\n inputSizeTensor: any;\n doubleInputSizeTensor: any;\n\n constructor(model, inputSize, anchorsAnnotated) {\n this.model = model;\n this.anchors = anchorsAnnotated.map((anchor) => [anchor.x_center, anchor.y_center]);\n this.anchorsTensor = tf.tensor2d(this.anchors);\n this.inputSizeTensor = tf.tensor1d([inputSize, inputSize]);\n this.doubleInputSizeTensor = tf.tensor1d([inputSize * 2, inputSize * 2]);\n }\n\n normalizeBoxes(boxes) {\n return tf.tidy(() => {\n const boxOffsets = tf.slice(boxes, [0, 0], [-1, 2]);\n const boxSizes = tf.slice(boxes, [0, 2], [-1, 2]);\n const boxCenterPoints = tf.add(tf.div(boxOffsets, this.inputSizeTensor), this.anchorsTensor);\n const halfBoxSizes = tf.div(boxSizes, this.doubleInputSizeTensor);\n const startPoints = tf.mul(tf.sub(boxCenterPoints, halfBoxSizes), this.inputSizeTensor);\n const endPoints = tf.mul(tf.add(boxCenterPoints, halfBoxSizes), this.inputSizeTensor);\n return tf.concat2d([startPoints, endPoints], 1);\n });\n }\n\n normalizeLandmarks(rawPalmLandmarks, index) {\n return tf.tidy(() => {\n const landmarks = tf.add(tf.div(rawPalmLandmarks.reshape([-1, 7, 2]), this.inputSizeTensor), this.anchors[index]);\n return tf.mul(landmarks, this.inputSizeTensor);\n });\n }\n\n async getBoxes(input, config) {\n const batched = this.model.predict(input);\n const predictions = batched.squeeze();\n batched.dispose();\n const scoresT = tf.tidy(() => tf.sigmoid(tf.slice(predictions, [0, 0], [-1, 1])).squeeze());\n const scores = scoresT.dataSync();\n const rawBoxes = tf.slice(predictions, [0, 1], [-1, 4]);\n const boxes = this.normalizeBoxes(rawBoxes);\n rawBoxes.dispose();\n const filteredT = await tf.image.nonMaxSuppressionAsync(boxes, scores, config.hand.maxHands, config.hand.iouThreshold, config.hand.scoreThreshold);\n const filtered = filteredT.arraySync();\n\n scoresT.dispose();\n filteredT.dispose();\n const hands: Array<{ box: any, palmLandmarks: any, confidence: number }> = [];\n for (const index of filtered) {\n if (scores[index] >= config.hand.minConfidence) {\n const matchingBox = tf.slice(boxes, [index, 0], [1, -1]);\n const rawPalmLandmarks = tf.slice(predictions, [index, 5], [1, 14]);\n const palmLandmarks = tf.tidy(() => this.normalizeLandmarks(rawPalmLandmarks, index).reshape([-1, 2]));\n rawPalmLandmarks.dispose();\n hands.push({ box: matchingBox, palmLandmarks, confidence: scores[index] });\n }\n }\n predictions.dispose();\n boxes.dispose();\n return hands;\n }\n\n async estimateHandBounds(input, config) {\n const inputHeight = input.shape[1];\n const inputWidth = input.shape[2];\n const image = tf.tidy(() => input.resizeBilinear([config.hand.inputSize, config.hand.inputSize]).div(127.5).sub(1));\n const predictions = await this.getBoxes(image, config);\n image.dispose();\n const hands: Array<{}> = [];\n if (!predictions || predictions.length === 0) return hands;\n for (const prediction of predictions) {\n const boxes = prediction.box.dataSync();\n const startPoint = boxes.slice(0, 2);\n const endPoint = boxes.slice(2, 4);\n const palmLandmarks = prediction.palmLandmarks.arraySync();\n prediction.box.dispose();\n prediction.palmLandmarks.dispose();\n hands.push(box.scaleBoxCoordinates({ startPoint, endPoint, palmLandmarks, confidence: prediction.confidence }, [inputWidth / config.hand.inputSize, inputHeight / config.hand.inputSize]));\n }\n return hands;\n }\n}\n", "import * as tf from '../../dist/tfjs.esm.js';\n\nexport function getBoxSize(box) {\n return [\n Math.abs(box.endPoint[0] - box.startPoint[0]),\n Math.abs(box.endPoint[1] - box.startPoint[1]),\n ];\n}\n\nexport function getBoxCenter(box) {\n return [\n box.startPoint[0] + (box.endPoint[0] - box.startPoint[0]) / 2,\n box.startPoint[1] + (box.endPoint[1] - box.startPoint[1]) / 2,\n ];\n}\n\nexport function cutBoxFromImageAndResize(box, image, cropSize) {\n const h = image.shape[1];\n const w = image.shape[2];\n const boxes = [[\n box.startPoint[1] / h,\n box.startPoint[0] / w,\n box.endPoint[1] / h,\n box.endPoint[0] / w,\n ]];\n return tf.image.cropAndResize(image, boxes, [0], cropSize);\n}\n\nexport function scaleBoxCoordinates(box, factor) {\n const startPoint = [box.startPoint[0] * factor[0], box.startPoint[1] * factor[1]];\n const endPoint = [box.endPoint[0] * factor[0], box.endPoint[1] * factor[1]];\n const palmLandmarks = box.palmLandmarks.map((coord) => {\n const scaledCoord = [coord[0] * factor[0], coord[1] * factor[1]];\n return scaledCoord;\n });\n return { startPoint, endPoint, palmLandmarks, confidence: box.confidence };\n}\n\nexport function enlargeBox(box, factor = 1.5) {\n const center = getBoxCenter(box);\n const size = getBoxSize(box);\n const newHalfSize = [factor * size[0] / 2, factor * size[1] / 2];\n const startPoint = [center[0] - newHalfSize[0], center[1] - newHalfSize[1]];\n const endPoint = [center[0] + newHalfSize[0], center[1] + newHalfSize[1]];\n return { startPoint, endPoint, palmLandmarks: box.palmLandmarks };\n}\n\nexport function squarifyBox(box) {\n const centers = getBoxCenter(box);\n const size = getBoxSize(box);\n const maxEdge = Math.max(...size);\n const halfSize = maxEdge / 2;\n const startPoint = [centers[0] - halfSize, centers[1] - halfSize];\n const endPoint = [centers[0] + halfSize, centers[1] + halfSize];\n return { startPoint, endPoint, palmLandmarks: box.palmLandmarks };\n}\n\nexport function shiftBox(box, shiftFactor) {\n const boxSize = [\n box.endPoint[0] - box.startPoint[0],\n box.endPoint[1] - box.startPoint[1],\n ];\n const shiftVector = [boxSize[0] * shiftFactor[0], boxSize[1] * shiftFactor[1]];\n const startPoint = [box.startPoint[0] + shiftVector[0], box.startPoint[1] + shiftVector[1]];\n const endPoint = [box.endPoint[0] + shiftVector[0], box.endPoint[1] + shiftVector[1]];\n return { startPoint, endPoint, palmLandmarks: box.palmLandmarks };\n}\n", "import * as tf from '../../dist/tfjs.esm.js';\nimport * as box from './box';\nimport * as util from './util';\n\n// const PALM_BOX_SHIFT_VECTOR = [0, -0.4];\nconst PALM_BOX_ENLARGE_FACTOR = 5; // default 3\n// const HAND_BOX_SHIFT_VECTOR = [0, -0.1]; // move detected hand box by x,y to ease landmark detection\nconst HAND_BOX_ENLARGE_FACTOR = 1.65; // default 1.65\nconst PALM_LANDMARK_IDS = [0, 5, 9, 13, 17, 1, 2];\nconst PALM_LANDMARKS_INDEX_OF_PALM_BASE = 0;\nconst PALM_LANDMARKS_INDEX_OF_MIDDLE_FINGER_BASE = 2;\n\nexport class HandPipeline {\n handDetector: any;\n landmarkDetector: any;\n inputSize: number;\n storedBoxes: any;\n skipped: number;\n detectedHands: number;\n\n constructor(handDetector, landmarkDetector, inputSize) {\n this.handDetector = handDetector;\n this.landmarkDetector = landmarkDetector;\n this.inputSize = inputSize;\n this.storedBoxes = [];\n this.skipped = 0;\n this.detectedHands = 0;\n }\n\n getBoxForPalmLandmarks(palmLandmarks, rotationMatrix) {\n const rotatedPalmLandmarks = palmLandmarks.map((coord) => util.rotatePoint([...coord, 1], rotationMatrix));\n const boxAroundPalm = this.calculateLandmarksBoundingBox(rotatedPalmLandmarks);\n // return box.enlargeBox(box.squarifyBox(box.shiftBox(boxAroundPalm, PALM_BOX_SHIFT_VECTOR)), PALM_BOX_ENLARGE_FACTOR);\n return box.enlargeBox(box.squarifyBox(boxAroundPalm), PALM_BOX_ENLARGE_FACTOR);\n }\n\n getBoxForHandLandmarks(landmarks) {\n const boundingBox = this.calculateLandmarksBoundingBox(landmarks);\n // const boxAroundHand = box.enlargeBox(box.squarifyBox(box.shiftBox(boundingBox, HAND_BOX_SHIFT_VECTOR)), HAND_BOX_ENLARGE_FACTOR);\n const boxAroundHand = box.enlargeBox(box.squarifyBox(boundingBox), HAND_BOX_ENLARGE_FACTOR);\n boxAroundHand.palmLandmarks = [];\n for (let i = 0; i < PALM_LANDMARK_IDS.length; i++) {\n boxAroundHand.palmLandmarks.push(landmarks[PALM_LANDMARK_IDS[i]].slice(0, 2));\n }\n return boxAroundHand;\n }\n\n transformRawCoords(rawCoords, box2, angle, rotationMatrix) {\n const boxSize = box.getBoxSize(box2);\n const scaleFactor = [boxSize[0] / this.inputSize, boxSize[1] / this.inputSize, (boxSize[0] + boxSize[1]) / this.inputSize / 2];\n const coordsScaled = rawCoords.map((coord) => [\n scaleFactor[0] * (coord[0] - this.inputSize / 2),\n scaleFactor[1] * (coord[1] - this.inputSize / 2),\n scaleFactor[2] * coord[2],\n ]);\n const coordsRotationMatrix = util.buildRotationMatrix(angle, [0, 0]);\n const coordsRotated = coordsScaled.map((coord) => {\n const rotated = util.rotatePoint(coord, coordsRotationMatrix);\n return [...rotated, coord[2]];\n });\n const inverseRotationMatrix = util.invertTransformMatrix(rotationMatrix);\n const boxCenter = [...box.getBoxCenter(box2), 1];\n const originalBoxCenter = [\n util.dot(boxCenter, inverseRotationMatrix[0]),\n util.dot(boxCenter, inverseRotationMatrix[1]),\n ];\n return coordsRotated.map((coord) => [\n coord[0] + originalBoxCenter[0],\n coord[1] + originalBoxCenter[1],\n coord[2],\n ]);\n }\n\n async estimateHands(image, config) {\n let useFreshBox = false;\n\n // run new detector every skipFrames unless we only want box to start with\n let boxes;\n if ((this.skipped === 0) || (this.skipped > config.hand.skipFrames) || !config.hand.landmarks || !config.videoOptimized) {\n boxes = await this.handDetector.estimateHandBounds(image, config);\n this.skipped = 0;\n }\n if (config.videoOptimized) this.skipped++;\n\n // if detector result count doesn't match current working set, use it to reset current working set\n if (boxes && (boxes.length > 0) && ((boxes.length !== this.detectedHands) && (this.detectedHands !== config.hand.maxHands) || !config.hand.landmarks)) {\n this.detectedHands = 0;\n this.storedBoxes = [...boxes];\n // for (const possible of boxes) this.storedBoxes.push(possible);\n if (this.storedBoxes.length > 0) useFreshBox = true;\n }\n const hands: Array<{}> = [];\n // log('hand', `skipped: ${this.skipped} max: ${config.hand.maxHands} detected: ${this.detectedHands} stored: ${this.storedBoxes.length} new: ${boxes?.length}`);\n\n // go through working set of boxes\n for (let i = 0; i < this.storedBoxes.length; i++) {\n const currentBox = this.storedBoxes[i];\n if (!currentBox) continue;\n if (config.hand.landmarks) {\n const angle = config.hand.rotation ? util.computeRotation(currentBox.palmLandmarks[PALM_LANDMARKS_INDEX_OF_PALM_BASE], currentBox.palmLandmarks[PALM_LANDMARKS_INDEX_OF_MIDDLE_FINGER_BASE]) : 0;\n const palmCenter = box.getBoxCenter(currentBox);\n const palmCenterNormalized = [palmCenter[0] / image.shape[2], palmCenter[1] / image.shape[1]];\n const rotatedImage = config.hand.rotation ? tf.image.rotateWithOffset(image, angle, 0, palmCenterNormalized) : image.clone();\n const rotationMatrix = util.buildRotationMatrix(-angle, palmCenter);\n const newBox = useFreshBox ? this.getBoxForPalmLandmarks(currentBox.palmLandmarks, rotationMatrix) : currentBox;\n const croppedInput = box.cutBoxFromImageAndResize(newBox, rotatedImage, [this.inputSize, this.inputSize]);\n const handImage = croppedInput.div(255);\n croppedInput.dispose();\n rotatedImage.dispose();\n const [confidenceT, keypoints] = await this.landmarkDetector.predict(handImage);\n handImage.dispose();\n const confidence = confidenceT.dataSync()[0];\n confidenceT.dispose();\n if (confidence >= config.hand.minConfidence) {\n const keypointsReshaped = tf.reshape(keypoints, [-1, 3]);\n const rawCoords = keypointsReshaped.arraySync();\n keypoints.dispose();\n keypointsReshaped.dispose();\n const coords = this.transformRawCoords(rawCoords, newBox, angle, rotationMatrix);\n const nextBoundingBox = this.getBoxForHandLandmarks(coords);\n this.storedBoxes[i] = nextBoundingBox;\n const result = {\n landmarks: coords,\n confidence,\n box: { topLeft: nextBoundingBox.startPoint, bottomRight: nextBoundingBox.endPoint },\n };\n hands.push(result);\n } else {\n this.storedBoxes[i] = null;\n }\n keypoints.dispose();\n } else {\n // const enlarged = box.enlargeBox(box.squarifyBox(box.shiftBox(currentBox, HAND_BOX_SHIFT_VECTOR)), HAND_BOX_ENLARGE_FACTOR);\n const enlarged = box.enlargeBox(box.squarifyBox(currentBox), HAND_BOX_ENLARGE_FACTOR);\n const result = {\n confidence: currentBox.confidence,\n box: { topLeft: enlarged.startPoint, bottomRight: enlarged.endPoint },\n };\n hands.push(result);\n }\n }\n this.storedBoxes = this.storedBoxes.filter((a) => a !== null);\n this.detectedHands = hands.length;\n return hands;\n }\n\n // eslint-disable-next-line class-methods-use-this\n calculateLandmarksBoundingBox(landmarks) {\n const xs = landmarks.map((d) => d[0]);\n const ys = landmarks.map((d) => d[1]);\n const startPoint = [Math.min(...xs), Math.min(...ys)];\n const endPoint = [Math.max(...xs), Math.max(...ys)];\n return { startPoint, endPoint };\n }\n}\n", "export function normalizeRadians(angle) {\n return angle - 2 * Math.PI * Math.floor((angle + Math.PI) / (2 * Math.PI));\n}\n\nexport function computeRotation(point1, point2) {\n const radians = Math.PI / 2 - Math.atan2(-(point2[1] - point1[1]), point2[0] - point1[0]);\n return normalizeRadians(radians);\n}\n\nexport const buildTranslationMatrix = (x, y) => [[1, 0, x], [0, 1, y], [0, 0, 1]];\n\nexport function dot(v1, v2) {\n let product = 0;\n for (let i = 0; i < v1.length; i++) {\n product += v1[i] * v2[i];\n }\n return product;\n}\n\nexport function getColumnFrom2DArr(arr, columnIndex) {\n const column: Array = [];\n for (let i = 0; i < arr.length; i++) {\n column.push(arr[i][columnIndex]);\n }\n return column;\n}\n\nexport function multiplyTransformMatrices(mat1, mat2) {\n const product: Array = [];\n const size = mat1.length;\n for (let row = 0; row < size; row++) {\n product.push([]);\n for (let col = 0; col < size; col++) {\n product[row].push(dot(mat1[row], getColumnFrom2DArr(mat2, col)));\n }\n }\n return product;\n}\n\nexport function buildRotationMatrix(rotation, center) {\n const cosA = Math.cos(rotation);\n const sinA = Math.sin(rotation);\n const rotationMatrix = [[cosA, -sinA, 0], [sinA, cosA, 0], [0, 0, 1]];\n const translationMatrix = buildTranslationMatrix(center[0], center[1]);\n const translationTimesRotation = multiplyTransformMatrices(translationMatrix, rotationMatrix);\n const negativeTranslationMatrix = buildTranslationMatrix(-center[0], -center[1]);\n return multiplyTransformMatrices(translationTimesRotation, negativeTranslationMatrix);\n}\n\nexport function invertTransformMatrix(matrix) {\n const rotationComponent = [[matrix[0][0], matrix[1][0]], [matrix[0][1], matrix[1][1]]];\n const translationComponent = [matrix[0][2], matrix[1][2]];\n const invertedTranslation = [\n -dot(rotationComponent[0], translationComponent),\n -dot(rotationComponent[1], translationComponent),\n ];\n return [\n rotationComponent[0].concat(invertedTranslation[0]),\n rotationComponent[1].concat(invertedTranslation[1]),\n [0, 0, 1],\n ];\n}\n\nexport function rotatePoint(homogeneousCoordinate, rotationMatrix) {\n return [\n dot(homogeneousCoordinate, rotationMatrix[0]),\n dot(homogeneousCoordinate, rotationMatrix[1]),\n ];\n}\n", "export const anchors = [\n {\n w: 1,\n h: 1,\n x_center: 0.015625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.015625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.046875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.046875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.078125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.078125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.109375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.109375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.140625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.140625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.171875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.171875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.203125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.203125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.234375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.234375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.265625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.265625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.296875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.296875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.328125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.328125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.359375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.359375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.390625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.390625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.421875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.421875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.453125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.453125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.484375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.484375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.515625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.515625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.546875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.546875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.578125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.578125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.609375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.609375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.640625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.640625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.671875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.671875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.703125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.703125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.734375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.734375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.765625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.765625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.796875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.796875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.828125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.828125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.859375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.859375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.890625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.890625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.921875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.921875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.953125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.953125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.984375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.984375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.015625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.015625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.046875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.046875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.078125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.078125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.109375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.109375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.140625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.140625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.171875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.171875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.203125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.203125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.234375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.234375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.265625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.265625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.296875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.296875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.328125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.328125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.359375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.359375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.390625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.390625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.421875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.421875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.453125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.453125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.484375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.484375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.515625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.515625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.546875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.546875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.578125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.578125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.609375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.609375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.640625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.640625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.671875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.671875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.703125,\n y_center: 0.046875,\n },\n {\n w: 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{\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.4375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.4375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.4375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.4375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.4375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.4375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.4375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.4375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.4375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.4375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.9375,\n },\n];\n", "export const body = (res) => {\n if (!res) return [];\n const gestures: Array<{ body: number, gesture: string }> = [];\n for (let i = 0; i < res.length; i++) {\n // raising hands\n const leftWrist = res[i].keypoints.find((a) => (a.part === 'leftWrist'));\n const rightWrist = res[i].keypoints.find((a) => (a.part === 'rightWrist'));\n const nose = res[i].keypoints.find((a) => (a.part === 'nose'));\n if (nose && leftWrist && rightWrist && (leftWrist.position.y < nose.position.y) && (rightWrist.position.y < nose.position.y)) gestures.push({ body: i, gesture: 'i give up' });\n else if (nose && leftWrist && (leftWrist.position.y < nose.position.y)) gestures.push({ body: i, gesture: 'raise left hand' });\n else if (nose && rightWrist && (rightWrist.position.y < nose.position.y)) gestures.push({ body: i, gesture: 'raise right hand' });\n\n // leaning\n const leftShoulder = res[i].keypoints.find((a) => (a.part === 'leftShoulder'));\n const rightShoulder = res[i].keypoints.find((a) => (a.part === 'rightShoulder'));\n if (leftShoulder && rightShoulder) gestures.push({ body: i, gesture: `leaning ${(leftShoulder.position.y > rightShoulder.position.y) ? 'left' : 'right'}` });\n }\n return gestures;\n};\n\nexport const face = (res) => {\n if (!res) return [];\n const gestures: Array<{ face: number, gesture: string }> = [];\n for (let i = 0; i < res.length; i++) {\n if (res[i].mesh && res[i].mesh.length > 0) {\n const eyeFacing = res[i].mesh[35][2] - res[i].mesh[263][2];\n if (Math.abs(eyeFacing) < 10) gestures.push({ face: i, gesture: 'facing camera' });\n else gestures.push({ face: i, gesture: `facing ${eyeFacing < 0 ? 'right' : 'left'}` });\n const openLeft = Math.abs(res[i].mesh[374][1] - res[i].mesh[386][1]) / Math.abs(res[i].mesh[443][1] - res[i].mesh[450][1]); // center of eye inner lid y coord div center of wider eye border y coord\n if (openLeft < 0.2) gestures.push({ face: i, gesture: 'blink left eye' });\n const openRight = Math.abs(res[i].mesh[145][1] - res[i].mesh[159][1]) / Math.abs(res[i].mesh[223][1] - res[i].mesh[230][1]); // center of eye inner lid y coord div center of wider eye border y coord\n if (openRight < 0.2) gestures.push({ face: i, gesture: 'blink right eye' });\n const mouthOpen = Math.min(100, 500 * Math.abs(res[i].mesh[13][1] - res[i].mesh[14][1]) / Math.abs(res[i].mesh[10][1] - res[i].mesh[152][1]));\n if (mouthOpen > 10) gestures.push({ face: i, gesture: `mouth ${Math.trunc(mouthOpen)}% open` });\n const chinDepth = res[i].mesh[152][2];\n if (Math.abs(chinDepth) > 10) gestures.push({ face: i, gesture: `head ${chinDepth < 0 ? 'up' : 'down'}` });\n }\n }\n return gestures;\n};\n\nexport const iris = (res) => {\n if (!res) return [];\n const gestures: Array<{ iris: number, gesture: string }> = [];\n for (let i = 0; i < res.length; i++) {\n if (!res[i].annotations || !res[i].annotations.leftEyeIris || !res[i].annotations.rightEyeIris) continue;\n const sizeXLeft = res[i].annotations.leftEyeIris[3][0] - res[i].annotations.leftEyeIris[1][0];\n const sizeYLeft = res[i].annotations.leftEyeIris[4][1] - res[i].annotations.leftEyeIris[2][1];\n const areaLeft = Math.abs(sizeXLeft * sizeYLeft);\n\n const sizeXRight = res[i].annotations.rightEyeIris[3][0] - res[i].annotations.rightEyeIris[1][0];\n const sizeYRight = res[i].annotations.rightEyeIris[4][1] - res[i].annotations.rightEyeIris[2][1];\n const areaRight = Math.abs(sizeXRight * sizeYRight);\n\n const difference = Math.abs(areaLeft - areaRight) / Math.max(areaLeft, areaRight);\n if (difference < 0.25) gestures.push({ iris: i, gesture: 'looking at camera' });\n }\n return gestures;\n};\n\nexport const hand = (res) => {\n if (!res) return [];\n const gestures: Array<{ hand: number, gesture: string }> = [];\n for (let i = 0; i < res.length; i++) {\n const fingers: Array<{ name: string, position: number }> = [];\n for (const [finger, pos] of Object.entries(res[i]['annotations'])) {\n // @ts-ignore\n if (finger !== 'palmBase') fingers.push({ name: finger.toLowerCase(), position: pos[0] }); // get tip of each finger\n }\n if (fingers && fingers.length > 0) {\n const closest = fingers.reduce((best, a) => (best.position[2] < a.position[2] ? best : a));\n const highest = fingers.reduce((best, a) => (best.position[1] < a.position[1] ? best : a));\n gestures.push({ hand: i, gesture: `${closest.name} forward ${highest.name} up` });\n }\n }\n return gestures;\n};\n", "// @ts-nocheck\n\nimport { log } from './log';\nimport * as tf from '../dist/tfjs.esm.js';\nimport * as fxImage from './imagefx';\n\n// internal temp canvases\nlet inCanvas = null;\nlet outCanvas = null;\n// instance of fximage\nlet fx = null;\n\n// process input image and return tensor\n// input can be tensor, imagedata, htmlimageelement, htmlvideoelement\n// input is resized and run through imagefx filter\nexport function process(input, config) {\n let tensor;\n if (input instanceof tf.Tensor) {\n tensor = tf.clone(input);\n } else {\n const originalWidth = input.naturalWidth || input.videoWidth || input.width || (input.shape && (input.shape[1] > 0));\n const originalHeight = input.naturalHeight || input.videoHeight || input.height || (input.shape && (input.shape[2] > 0));\n let targetWidth = originalWidth;\n let targetHeight = originalHeight;\n if (config.filter.width > 0) targetWidth = config.filter.width;\n else if (config.filter.height > 0) targetWidth = originalWidth * (config.filter.height / originalHeight);\n if (config.filter.height > 0) targetHeight = config.filter.height;\n else if (config.filter.width > 0) targetHeight = originalHeight * (config.filter.width / originalWidth);\n if (!targetWidth || !targetHeight) {\n log('Human: invalid input', input);\n return null;\n }\n if (!inCanvas || (inCanvas.width !== targetWidth) || (inCanvas.height !== targetHeight)) {\n inCanvas = (typeof OffscreenCanvas !== 'undefined') ? new OffscreenCanvas(targetWidth, targetHeight) : document.createElement('canvas');\n if (inCanvas.width !== targetWidth) inCanvas.width = targetWidth;\n if (inCanvas.height !== targetHeight) inCanvas.height = targetHeight;\n }\n const ctx = inCanvas.getContext('2d');\n if (input instanceof ImageData) ctx.putImageData(input, 0, 0);\n else ctx.drawImage(input, 0, 0, originalWidth, originalHeight, 0, 0, inCanvas.width, inCanvas.height);\n if (config.filter.enabled) {\n if (!fx || !outCanvas || (inCanvas.width !== outCanvas.width) || (inCanvas.height !== outCanvas.height)) {\n outCanvas = (typeof OffscreenCanvas !== 'undefined') ? new OffscreenCanvas(inCanvas.width, inCanvas.height) : document.createElement('canvas');\n if (outCanvas.width !== inCanvas.width) outCanvas.width = inCanvas.width;\n if (outCanvas.height !== inCanvas.height) outCanvas.height = inCanvas.height;\n log('created FX filter');\n fx = tf.ENV.flags.IS_BROWSER ? new fxImage.GLImageFilter({ canvas: outCanvas }) : null; // && (typeof document !== 'undefined')\n }\n if (!fx) return inCanvas;\n fx.reset();\n fx.addFilter('brightness', config.filter.brightness); // must have at least one filter enabled\n if (config.filter.contrast !== 0) fx.addFilter('contrast', config.filter.contrast);\n if (config.filter.sharpness !== 0) fx.addFilter('sharpen', config.filter.sharpness);\n if (config.filter.blur !== 0) fx.addFilter('blur', config.filter.blur);\n if (config.filter.saturation !== 0) fx.addFilter('saturation', config.filter.saturation);\n if (config.filter.hue !== 0) fx.addFilter('hue', config.filter.hue);\n if (config.filter.negative) fx.addFilter('negative');\n if (config.filter.sepia) fx.addFilter('sepia');\n if (config.filter.vintage) fx.addFilter('brownie');\n if (config.filter.sepia) fx.addFilter('sepia');\n if (config.filter.kodachrome) fx.addFilter('kodachrome');\n if (config.filter.technicolor) fx.addFilter('technicolor');\n if (config.filter.polaroid) fx.addFilter('polaroid');\n if (config.filter.pixelate !== 0) fx.addFilter('pixelate', config.filter.pixelate);\n fx.apply(inCanvas);\n // read pixel data\n /*\n const gl = outCanvas.getContext('webgl');\n if (gl) {\n const glBuffer = new Uint8Array(outCanvas.width * outCanvas.height * 4);\n const pixBuffer = new Uint8Array(outCanvas.width * outCanvas.height * 3);\n gl.readPixels(0, 0, outCanvas.width, outCanvas.height, gl.RGBA, gl.UNSIGNED_BYTE, glBuffer);\n // gl returns rbga while we only need rgb, so discarding alpha channel\n // gl returns starting point as lower left, so need to invert vertical\n let i = 0;\n for (let y = outCanvas.height - 1; y >= 0; y--) {\n for (let x = 0; x < outCanvas.width; x++) {\n const index = (x + y * outCanvas.width) * 4;\n pixBuffer[i++] = glBuffer[index + 0];\n pixBuffer[i++] = glBuffer[index + 1];\n pixBuffer[i++] = glBuffer[index + 2];\n }\n }\n outCanvas.data = pixBuffer;\n }\n */\n } else {\n outCanvas = inCanvas;\n if (fx) fx = null;\n }\n let pixels;\n if (outCanvas.data) {\n const shape = [outCanvas.height, outCanvas.width, 3];\n pixels = tf.tensor3d(outCanvas.data, shape, 'int32');\n } else if ((config.backend === 'webgl') || (outCanvas instanceof ImageData)) {\n // tf kernel-optimized method to get imagedata, also if input is imagedata, just use it\n pixels = tf.browser.fromPixels(outCanvas);\n } else {\n // cpu and wasm kernel does not implement efficient fromPixels method nor we can use canvas as-is, so we do a silly one more canvas\n const tempCanvas = (typeof OffscreenCanvas !== 'undefined') ? new OffscreenCanvas(targetWidth, targetHeight) : document.createElement('canvas');\n tempCanvas.width = targetWidth;\n tempCanvas.height = targetHeight;\n const tempCtx = tempCanvas.getContext('2d');\n tempCtx?.drawImage(outCanvas, 0, 0);\n const data = tempCtx?.getImageData(0, 0, targetWidth, targetHeight);\n pixels = tf.browser.fromPixels(data);\n }\n const casted = pixels.toFloat();\n tensor = casted.expandDims(0);\n pixels.dispose();\n casted.dispose();\n }\n return { tensor, canvas: config.filter.return ? outCanvas : null };\n}\n", "/*\nWebGLImageFilter - MIT Licensed\n2013, Dominic Szablewski - phoboslab.org\n\n*/\n\nfunction GLProgram(gl, vertexSource, fragmentSource) {\n const _collect = function (source, prefix, collection) {\n const r = new RegExp('\\\\b' + prefix + ' \\\\w+ (\\\\w+)', 'ig');\n source.replace(r, (match, name) => {\n collection[name] = 0;\n return match;\n });\n };\n\n const _compile = function (source, type) {\n const shader = gl.createShader(type);\n gl.shaderSource(shader, source);\n gl.compileShader(shader);\n if (!gl.getShaderParameter(shader, gl.COMPILE_STATUS)) {\n // @ts-ignore\n throw new Error('Filter: GL compile failed', gl.getShaderInfoLog(shader));\n }\n return shader;\n };\n\n this.uniform = {};\n this.attribute = {};\n const _vsh = _compile(vertexSource, gl.VERTEX_SHADER);\n const _fsh = _compile(fragmentSource, gl.FRAGMENT_SHADER);\n this.id = gl.createProgram();\n gl.attachShader(this.id, _vsh);\n gl.attachShader(this.id, _fsh);\n gl.linkProgram(this.id);\n\n if (!gl.getProgramParameter(this.id, gl.LINK_STATUS)) {\n // @ts-ignore\n throw new Error('Filter: GL link failed', gl.getProgramInfoLog(this.id));\n }\n\n gl.useProgram(this.id);\n // Collect attributes\n _collect(vertexSource, 'attribute', this.attribute);\n for (const a in this.attribute) this.attribute[a] = gl.getAttribLocation(this.id, a);\n // Collect uniforms\n _collect(vertexSource, 'uniform', this.uniform);\n _collect(fragmentSource, 'uniform', this.uniform);\n for (const u in this.uniform) this.uniform[u] = gl.getUniformLocation(this.id, u);\n}\n\n// export const GLImageFilter = function (params) {\nexport function GLImageFilter(params) {\n if (!params) params = { };\n let _drawCount = 0;\n let _sourceTexture = null;\n let _lastInChain = false;\n let _currentFramebufferIndex = -1;\n let _tempFramebuffers = [null, null];\n let _filterChain = [];\n let _width = -1;\n let _height = -1;\n let _vertexBuffer = null;\n let _currentProgram = null;\n const _filter = {};\n const _canvas = params.canvas || document.createElement('canvas');\n // key is the shader program source, value is the compiled program\n const _shaderProgramCache = { };\n const DRAW = { INTERMEDIATE: 1 };\n const gl = _canvas.getContext('webgl');\n if (!gl) throw new Error('Filter: getContext() failed');\n\n this.addFilter = function (name) {\n // eslint-disable-next-line prefer-rest-params\n const args = Array.prototype.slice.call(arguments, 1);\n const filter = _filter[name];\n _filterChain.push({ func: filter, args });\n };\n\n this.reset = function () {\n _filterChain = [];\n };\n\n const _resize = function (width, height) {\n // Same width/height? Nothing to do here\n if (width === _width && height === _height) { return; }\n _canvas.width = width;\n _width = width;\n _canvas.height = height;\n _height = height;\n // Create the context if we don't have it yet\n if (!_vertexBuffer) {\n // Create the vertex buffer for the two triangles [x, y, u, v] * 6\n const vertices = new Float32Array([\n -1, -1, 0, 1, 1, -1, 1, 1, -1, 1, 0, 0,\n -1, 1, 0, 0, 1, -1, 1, 1, 1, 1, 1, 0,\n ]);\n // eslint-disable-next-line no-unused-expressions\n (_vertexBuffer = gl.createBuffer(), gl.bindBuffer(gl.ARRAY_BUFFER, _vertexBuffer));\n gl.bufferData(gl.ARRAY_BUFFER, vertices, gl.STATIC_DRAW);\n gl.pixelStorei(gl.UNPACK_PREMULTIPLY_ALPHA_WEBGL, true);\n }\n gl.viewport(0, 0, _width, _height);\n // Delete old temp framebuffers\n _tempFramebuffers = [null, null];\n };\n\n const _createFramebufferTexture = function (width, height) {\n const fbo = gl.createFramebuffer();\n gl.bindFramebuffer(gl.FRAMEBUFFER, fbo);\n const renderbuffer = gl.createRenderbuffer();\n gl.bindRenderbuffer(gl.RENDERBUFFER, renderbuffer);\n const texture = gl.createTexture();\n gl.bindTexture(gl.TEXTURE_2D, texture);\n gl.texImage2D(gl.TEXTURE_2D, 0, gl.RGBA, width, height, 0, gl.RGBA, gl.UNSIGNED_BYTE, null);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MAG_FILTER, gl.LINEAR);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MIN_FILTER, gl.LINEAR);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_S, gl.CLAMP_TO_EDGE);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_T, gl.CLAMP_TO_EDGE);\n gl.framebufferTexture2D(gl.FRAMEBUFFER, gl.COLOR_ATTACHMENT0, gl.TEXTURE_2D, texture, 0);\n gl.bindTexture(gl.TEXTURE_2D, null);\n gl.bindFramebuffer(gl.FRAMEBUFFER, null);\n return { fbo, texture };\n };\n\n const _getTempFramebuffer = function (index) {\n // @ts-ignore\n _tempFramebuffers[index] = _tempFramebuffers[index] || _createFramebufferTexture(_width, _height);\n return _tempFramebuffers[index];\n };\n\n const _draw = function (flags = null) {\n let source = null;\n let target = null;\n let flipY = false;\n // Set up the source\n if (_drawCount === 0) {\n // First draw call - use the source texture\n source = _sourceTexture;\n } else {\n // All following draw calls use the temp buffer last drawn to\n // @ts-ignore\n source = _getTempFramebuffer(_currentFramebufferIndex)?.texture;\n }\n _drawCount++;\n // Set up the target\n if (_lastInChain && !(flags & DRAW.INTERMEDIATE)) {\n // Last filter in our chain - draw directly to the WebGL Canvas. We may\n // also have to flip the image vertically now\n target = null;\n flipY = _drawCount % 2 === 0;\n } else {\n // Intermediate draw call - get a temp buffer to draw to\n _currentFramebufferIndex = (_currentFramebufferIndex + 1) % 2;\n // @ts-ignore\n target = _getTempFramebuffer(_currentFramebufferIndex)?.fbo;\n }\n // Bind the source and target and draw the two triangles\n gl.bindTexture(gl.TEXTURE_2D, source);\n gl.bindFramebuffer(gl.FRAMEBUFFER, target);\n gl.uniform1f(_currentProgram.uniform.flipY, (flipY ? -1 : 1));\n gl.drawArrays(gl.TRIANGLES, 0, 6);\n };\n\n this.apply = function (image) {\n _resize(image.width, image.height);\n _drawCount = 0;\n // Create the texture for the input image if we haven't yet\n if (!_sourceTexture) _sourceTexture = gl.createTexture();\n gl.bindTexture(gl.TEXTURE_2D, _sourceTexture);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_S, gl.CLAMP_TO_EDGE);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_T, gl.CLAMP_TO_EDGE);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MIN_FILTER, gl.NEAREST);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MAG_FILTER, gl.NEAREST);\n gl.texImage2D(gl.TEXTURE_2D, 0, gl.RGBA, gl.RGBA, gl.UNSIGNED_BYTE, image);\n // No filters? Just draw\n if (_filterChain.length === 0) {\n // const program = _compileShader(SHADER.FRAGMENT_IDENTITY);\n _draw();\n return _canvas;\n }\n for (let i = 0; i < _filterChain.length; i++) {\n _lastInChain = (i === _filterChain.length - 1);\n const f = _filterChain[i];\n f.func.apply(this, f.args || []);\n }\n return _canvas;\n };\n\n const _compileShader = function (fragmentSource) {\n if (_shaderProgramCache[fragmentSource]) {\n _currentProgram = _shaderProgramCache[fragmentSource];\n gl.useProgram(_currentProgram.id);\n return _currentProgram;\n }\n // Compile shaders\n const SHADER = {};\n SHADER.VERTEX_IDENTITY = [\n 'precision highp float;',\n 'attribute vec2 pos;',\n 'attribute vec2 uv;',\n 'varying vec2 vUv;',\n 'uniform float flipY;',\n 'void main(void) {',\n 'vUv = uv;',\n 'gl_Position = vec4(pos.x, pos.y*flipY, 0.0, 1.);',\n '}',\n ].join('\\n');\n SHADER.FRAGMENT_IDENTITY = [\n 'precision highp float;',\n 'varying vec2 vUv;',\n 'uniform sampler2D texture;',\n 'void main(void) {',\n 'gl_FragColor = texture2D(texture, vUv);',\n '}',\n ].join('\\n');\n _currentProgram = new GLProgram(gl, SHADER.VERTEX_IDENTITY, fragmentSource);\n const floatSize = Float32Array.BYTES_PER_ELEMENT;\n const vertSize = 4 * floatSize;\n gl.enableVertexAttribArray(_currentProgram.attribute.pos);\n gl.vertexAttribPointer(_currentProgram.attribute.pos, 2, gl.FLOAT, false, vertSize, 0 * floatSize);\n gl.enableVertexAttribArray(_currentProgram.attribute.uv);\n gl.vertexAttribPointer(_currentProgram.attribute.uv, 2, gl.FLOAT, false, vertSize, 2 * floatSize);\n _shaderProgramCache[fragmentSource] = _currentProgram;\n return _currentProgram;\n };\n\n // -------------------------------------------------------------------------\n // Color Matrix Filter\n _filter.colorMatrix = function (matrix) {\n // Create a Float32 Array and normalize the offset component to 0-1\n const m = new Float32Array(matrix);\n m[4] /= 255;\n m[9] /= 255;\n m[14] /= 255;\n m[19] /= 255;\n // Can we ignore the alpha value? Makes things a bit faster.\n const shader = (m[18] === 1 && m[3] === 0 && m[8] === 0 && m[13] === 0 && m[15] === 0 && m[16] === 0 && m[17] === 0 && m[19] === 0)\n ? _filter.colorMatrix.SHADER.WITHOUT_ALPHA\n : _filter.colorMatrix.SHADER.WITH_ALPHA;\n const program = _compileShader(shader);\n gl.uniform1fv(program.uniform.m, m);\n _draw();\n };\n _filter.colorMatrix.SHADER = {};\n _filter.colorMatrix.SHADER.WITH_ALPHA = [\n 'precision highp float;',\n 'varying vec2 vUv;',\n 'uniform sampler2D texture;',\n 'uniform float m[20];',\n 'void main(void) {',\n 'vec4 c = texture2D(texture, vUv);',\n 'gl_FragColor.r = m[0] * c.r + m[1] * c.g + m[2] * c.b + m[3] * c.a + m[4];',\n 'gl_FragColor.g = m[5] * c.r + m[6] * c.g + m[7] * c.b + m[8] * c.a + m[9];',\n 'gl_FragColor.b = m[10] * c.r + m[11] * c.g + m[12] * c.b + m[13] * c.a + m[14];',\n 'gl_FragColor.a = m[15] * c.r + m[16] * c.g + m[17] * c.b + m[18] * c.a + m[19];',\n '}',\n ].join('\\n');\n _filter.colorMatrix.SHADER.WITHOUT_ALPHA = [\n 'precision highp float;',\n 'varying vec2 vUv;',\n 'uniform sampler2D texture;',\n 'uniform float m[20];',\n 'void main(void) {',\n 'vec4 c = texture2D(texture, vUv);',\n 'gl_FragColor.r = m[0] * c.r + m[1] * c.g + m[2] * c.b + m[4];',\n 'gl_FragColor.g = m[5] * c.r + m[6] * c.g + m[7] * c.b + m[9];',\n 'gl_FragColor.b = m[10] * c.r + m[11] * c.g + m[12] * c.b + m[14];',\n 'gl_FragColor.a = c.a;',\n '}',\n ].join('\\n');\n\n _filter.brightness = function (brightness) {\n const b = (brightness || 0) + 1;\n _filter.colorMatrix([\n b, 0, 0, 0, 0,\n 0, b, 0, 0, 0,\n 0, 0, b, 0, 0,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.saturation = function (amount) {\n const x = (amount || 0) * 2 / 3 + 1;\n const y = ((x - 1) * -0.5);\n _filter.colorMatrix([\n x, y, y, 0, 0,\n y, x, y, 0, 0,\n y, y, x, 0, 0,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.desaturate = function () {\n _filter.saturation(-1);\n };\n\n _filter.contrast = function (amount) {\n const v = (amount || 0) + 1;\n const o = -128 * (v - 1);\n\n _filter.colorMatrix([\n v, 0, 0, 0, o,\n 0, v, 0, 0, o,\n 0, 0, v, 0, o,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.negative = function () {\n _filter.contrast(-2);\n };\n\n _filter.hue = function (rotation) {\n rotation = (rotation || 0) / 180 * Math.PI;\n const cos = Math.cos(rotation);\n const sin = Math.sin(rotation);\n const lumR = 0.213;\n const lumG = 0.715;\n const lumB = 0.072;\n\n _filter.colorMatrix([\n lumR + cos * (1 - lumR) + sin * (-lumR), lumG + cos * (-lumG) + sin * (-lumG), lumB + cos * (-lumB) + sin * (1 - lumB), 0, 0,\n lumR + cos * (-lumR) + sin * (0.143), lumG + cos * (1 - lumG) + sin * (0.140), lumB + cos * (-lumB) + sin * (-0.283), 0, 0,\n lumR + cos * (-lumR) + sin * (-(1 - lumR)), lumG + cos * (-lumG) + sin * (lumG), lumB + cos * (1 - lumB) + sin * (lumB), 0, 0,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.desaturateLuminance = function () {\n _filter.colorMatrix([\n 0.2764723, 0.9297080, 0.0938197, 0, -37.1,\n 0.2764723, 0.9297080, 0.0938197, 0, -37.1,\n 0.2764723, 0.9297080, 0.0938197, 0, -37.1,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.sepia = function () {\n _filter.colorMatrix([\n 0.393, 0.7689999, 0.18899999, 0, 0,\n 0.349, 0.6859999, 0.16799999, 0, 0,\n 0.272, 0.5339999, 0.13099999, 0, 0,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.brownie = function () {\n _filter.colorMatrix([\n 0.5997023498159715, 0.34553243048391263, -0.2708298674538042, 0, 47.43192855600873,\n -0.037703249837783157, 0.8609577587992641, 0.15059552388459913, 0, -36.96841498319127,\n 0.24113635128153335, -0.07441037908422492, 0.44972182064877153, 0, -7.562075277591283,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.vintagePinhole = function () {\n _filter.colorMatrix([\n 0.6279345635605994, 0.3202183420819367, -0.03965408211312453, 0, 9.651285835294123,\n 0.02578397704808868, 0.6441188644374771, 0.03259127616149294, 0, 7.462829176470591,\n 0.0466055556782719, -0.0851232987247891, 0.5241648018700465, 0, 5.159190588235296,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.kodachrome = function () {\n _filter.colorMatrix([\n 1.1285582396593525, -0.3967382283601348, -0.03992559172921793, 0, 63.72958762196502,\n -0.16404339962244616, 1.0835251566291304, -0.05498805115633132, 0, 24.732407896706203,\n -0.16786010706155763, -0.5603416277695248, 1.6014850761964943, 0, 35.62982807460946,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.technicolor = function () {\n _filter.colorMatrix([\n 1.9125277891456083, -0.8545344976951645, -0.09155508482755585, 0, 11.793603434377337,\n -0.3087833385928097, 1.7658908555458428, -0.10601743074722245, 0, -70.35205161461398,\n -0.231103377548616, -0.7501899197440212, 1.847597816108189, 0, 30.950940869491138,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.polaroid = function () {\n _filter.colorMatrix([\n 1.438, -0.062, -0.062, 0, 0,\n -0.122, 1.378, -0.122, 0, 0,\n -0.016, -0.016, 1.483, 0, 0,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.shiftToBGR = function () {\n _filter.colorMatrix([\n 0, 0, 1, 0, 0,\n 0, 1, 0, 0, 0,\n 1, 0, 0, 0, 0,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n // -------------------------------------------------------------------------\n // Convolution Filter\n _filter.convolution = function (matrix) {\n const m = new Float32Array(matrix);\n const pixelSizeX = 1 / _width;\n const pixelSizeY = 1 / _height;\n const program = _compileShader(_filter.convolution.SHADER);\n gl.uniform1fv(program.uniform.m, m);\n gl.uniform2f(program.uniform.px, pixelSizeX, pixelSizeY);\n _draw();\n };\n\n _filter.convolution.SHADER = [\n 'precision highp float;',\n 'varying vec2 vUv;',\n 'uniform sampler2D texture;',\n 'uniform vec2 px;',\n 'uniform float m[9];',\n 'void main(void) {',\n 'vec4 c11 = texture2D(texture, vUv - px);', // top left\n 'vec4 c12 = texture2D(texture, vec2(vUv.x, vUv.y - px.y));', // top center\n 'vec4 c13 = texture2D(texture, vec2(vUv.x + px.x, vUv.y - px.y));', // top right\n 'vec4 c21 = texture2D(texture, vec2(vUv.x - px.x, vUv.y) );', // mid left\n 'vec4 c22 = texture2D(texture, vUv);', // mid center\n 'vec4 c23 = texture2D(texture, vec2(vUv.x + px.x, vUv.y) );', // mid right\n 'vec4 c31 = texture2D(texture, vec2(vUv.x - px.x, vUv.y + px.y) );', // bottom left\n 'vec4 c32 = texture2D(texture, vec2(vUv.x, vUv.y + px.y) );', // bottom center\n 'vec4 c33 = texture2D(texture, vUv + px );', // bottom right\n 'gl_FragColor = ',\n 'c11 * m[0] + c12 * m[1] + c22 * m[2] +',\n 'c21 * m[3] + c22 * m[4] + c23 * m[5] +',\n 'c31 * m[6] + c32 * m[7] + c33 * m[8];',\n 'gl_FragColor.a = c22.a;',\n '}',\n ].join('\\n');\n\n _filter.detectEdges = function () {\n _filter.convolution.call(this, [\n 0, 1, 0,\n 1, -4, 1,\n 0, 1, 0,\n ]);\n };\n\n _filter.sobelX = function () {\n _filter.convolution.call(this, [\n -1, 0, 1,\n -2, 0, 2,\n -1, 0, 1,\n ]);\n };\n\n _filter.sobelY = function () {\n _filter.convolution.call(this, [\n -1, -2, -1,\n 0, 0, 0,\n 1, 2, 1,\n ]);\n };\n\n _filter.sharpen = function (amount) {\n const a = amount || 1;\n _filter.convolution.call(this, [\n 0, -1 * a, 0,\n -1 * a, 1 + 4 * a, -1 * a,\n 0, -1 * a, 0,\n ]);\n };\n\n _filter.emboss = function (size) {\n const s = size || 1;\n _filter.convolution.call(this, [\n -2 * s, -1 * s, 0,\n -1 * s, 1, 1 * s,\n 0, 1 * s, 2 * s,\n ]);\n };\n\n // -------------------------------------------------------------------------\n // Blur Filter\n _filter.blur = function (size) {\n const blurSizeX = (size / 7) / _width;\n const blurSizeY = (size / 7) / _height;\n const program = _compileShader(_filter.blur.SHADER);\n // Vertical\n gl.uniform2f(program.uniform.px, 0, blurSizeY);\n _draw(DRAW.INTERMEDIATE);\n // Horizontal\n gl.uniform2f(program.uniform.px, blurSizeX, 0);\n _draw();\n };\n\n _filter.blur.SHADER = [\n 'precision highp float;',\n 'varying vec2 vUv;',\n 'uniform sampler2D texture;',\n 'uniform vec2 px;',\n 'void main(void) {',\n 'gl_FragColor = vec4(0.0);',\n 'gl_FragColor += texture2D(texture, vUv + vec2(-7.0*px.x, -7.0*px.y))*0.0044299121055113265;',\n 'gl_FragColor += texture2D(texture, vUv + vec2(-6.0*px.x, -6.0*px.y))*0.00895781211794;',\n 'gl_FragColor += texture2D(texture, vUv + vec2(-5.0*px.x, -5.0*px.y))*0.0215963866053;',\n 'gl_FragColor += texture2D(texture, vUv + vec2(-4.0*px.x, -4.0*px.y))*0.0443683338718;',\n 'gl_FragColor += texture2D(texture, vUv + vec2(-3.0*px.x, -3.0*px.y))*0.0776744219933;',\n 'gl_FragColor += texture2D(texture, vUv + vec2(-2.0*px.x, -2.0*px.y))*0.115876621105;',\n 'gl_FragColor += texture2D(texture, vUv + vec2(-1.0*px.x, -1.0*px.y))*0.147308056121;',\n 'gl_FragColor += texture2D(texture, vUv )*0.159576912161;',\n 'gl_FragColor += texture2D(texture, vUv + vec2( 1.0*px.x, 1.0*px.y))*0.147308056121;',\n 'gl_FragColor += texture2D(texture, vUv + vec2( 2.0*px.x, 2.0*px.y))*0.115876621105;',\n 'gl_FragColor += texture2D(texture, vUv + vec2( 3.0*px.x, 3.0*px.y))*0.0776744219933;',\n 'gl_FragColor += texture2D(texture, vUv + vec2( 4.0*px.x, 4.0*px.y))*0.0443683338718;',\n 'gl_FragColor += texture2D(texture, vUv + vec2( 5.0*px.x, 5.0*px.y))*0.0215963866053;',\n 'gl_FragColor += texture2D(texture, vUv + vec2( 6.0*px.x, 6.0*px.y))*0.00895781211794;',\n 'gl_FragColor += texture2D(texture, vUv + vec2( 7.0*px.x, 7.0*px.y))*0.0044299121055113265;',\n '}',\n ].join('\\n');\n\n // -------------------------------------------------------------------------\n // Pixelate Filter\n _filter.pixelate = function (size) {\n const blurSizeX = (size) / _width;\n const blurSizeY = (size) / _height;\n const program = _compileShader(_filter.pixelate.SHADER);\n // Horizontal\n gl.uniform2f(program.uniform.size, blurSizeX, blurSizeY);\n _draw();\n };\n\n _filter.pixelate.SHADER = [\n 'precision highp float;',\n 'varying vec2 vUv;',\n 'uniform vec2 size;',\n 'uniform sampler2D texture;',\n 'vec2 pixelate(vec2 coord, vec2 size) {',\n 'return floor( coord / size ) * size;',\n '}',\n 'void main(void) {',\n 'gl_FragColor = vec4(0.0);',\n 'vec2 coord = pixelate(vUv, size);',\n 'gl_FragColor += texture2D(texture, coord);',\n '}',\n ].join('\\n');\n}\n", "/* eslint-disable indent */\n/* eslint-disable no-multi-spaces */\n\nexport default {\n backend: 'webgl', // select tfjs backend to use\n wasmPath: '../assets/', // path for wasm binaries\n // only used for backend: wasm\n async: true, // execute enabled models in parallel\n // this disables per-model performance data but\n // slightly increases performance\n // cannot be used if profiling is enabled\n profile: false, // enable tfjs profiling\n // this has significant performance impact\n // only enable for debugging purposes\n // currently only implemented for age,gender,emotion models\n deallocate: false, // aggresively deallocate gpu memory after each usage\n // only valid for webgl backend and only during first call\n // cannot be changed unless library is reloaded\n // this has significant performance impact\n // only enable on low-memory devices\n scoped: false, // enable scoped runs\n // some models *may* have memory leaks,\n // this wrapps everything in a local scope at a cost of performance\n // typically not needed\n videoOptimized: true, // perform additional optimizations when input is video,\n // must be disabled for images\n // basically this skips object box boundary detection for every n frames\n // while maintaining in-box detection since objects cannot move that fast\n warmup: 'face', // what to use for human.warmup(), can be 'none', 'face', 'full'\n // warmup pre-initializes all models for faster inference but can take\n // significant time on startup\n filter: {\n enabled: true, // enable image pre-processing filters\n width: 0, // resize input width\n height: 0, // resize input height\n // if both width and height are set to 0, there is no resizing\n // if just one is set, second one is scaled automatically\n // if both are set, values are used as-is\n return: true, // return processed canvas imagedata in result\n brightness: 0, // range: -1 (darken) to 1 (lighten)\n contrast: 0, // range: -1 (reduce contrast) to 1 (increase contrast)\n sharpness: 0, // range: 0 (no sharpening) to 1 (maximum sharpening)\n blur: 0, // range: 0 (no blur) to N (blur radius in pixels)\n saturation: 0, // range: -1 (reduce saturation) to 1 (increase saturation)\n hue: 0, // range: 0 (no change) to 360 (hue rotation in degrees)\n negative: false, // image negative\n sepia: false, // image sepia colors\n vintage: false, // image vintage colors\n kodachrome: false, // image kodachrome colors\n technicolor: false, // image technicolor colors\n polaroid: false, // image polaroid camera effect\n pixelate: 0, // range: 0 (no pixelate) to N (number of pixels to pixelate)\n },\n\n gesture: {\n enabled: true, // enable simple gesture recognition\n },\n\n face: {\n enabled: true, // controls if specified modul is enabled\n // face.enabled is required for all face models:\n // detector, mesh, iris, age, gender, emotion\n // (note: module is not loaded until it is required)\n detector: {\n modelPath: '../models/blazeface-back.json', // can be 'blazeface-front', 'blazeface-front' or 'faceboxes'\n // 'blazeface-front' is blazeface model optimized for large faces such as front-facing camera\n // 'blazeface-back' is blazeface model optimized for smaller and/or distanct faces\n // 'faceboxes' is alternative model to 'blazeface\n inputSize: 256, // fixed value: 128 for front and 256 for 'back'\n rotation: false, // use best-guess rotated face image or just box with rotation as-is\n // false means higher performance, but incorrect mesh mapping if face angle is above 20 degrees\n maxFaces: 10, // maximum number of faces detected in the input\n // should be set to the minimum number for performance\n skipFrames: 11, // how many frames to go without re-running the face bounding box detector\n // only used for video inputs\n // e.g., if model is running st 25 FPS, we can re-use existing bounding\n // box for updated face analysis as the head probably hasn't moved much\n // in short time (10 * 1/25 = 0.25 sec)\n minConfidence: 0.5, // threshold for discarding a prediction\n iouThreshold: 0.2, // threshold for deciding whether boxes overlap too much in\n // non-maximum suppression (0.1 means drop if overlap 10%)\n scoreThreshold: 0.5, // threshold for deciding when to remove boxes based on score\n // in non-maximum suppression,\n // this is applied on detection objects only and before minConfidence\n },\n\n mesh: {\n enabled: true,\n modelPath: '../models/facemesh.json',\n inputSize: 192, // fixed value\n returnRawData: false, // in addition to standard mesh and box values, return raw normalized values as well\n },\n\n iris: {\n enabled: true,\n modelPath: '../models/iris.json',\n inputSize: 64, // fixed value\n },\n\n age: {\n enabled: true,\n modelPath: '../models/age-ssrnet-imdb.json', // can be 'age-ssrnet-imdb' or 'age-ssrnet-wiki'\n // which determines training set for model\n inputSize: 64, // fixed value\n skipFrames: 31, // how many frames to go without re-running the detector\n // only used for video inputs\n },\n\n gender: {\n enabled: true,\n minConfidence: 0.1, // threshold for discarding a prediction\n modelPath: '../models/gender-ssrnet-imdb.json', // can be 'gender', 'gender-ssrnet-imdb' or 'gender-ssrnet-wiki'\n inputSize: 64, // fixed value\n skipFrames: 41, // how many frames to go without re-running the detector\n // only used for video inputs\n },\n\n emotion: {\n enabled: true,\n inputSize: 64, // fixed value\n minConfidence: 0.2, // threshold for discarding a prediction\n skipFrames: 21, // how many frames to go without re-running the detector\n modelPath: '../models/emotion-large.json', // can be 'mini', 'large'\n },\n\n embedding: {\n enabled: false,\n inputSize: 112, // fixed value\n modelPath: '../models/mobilefacenet.json',\n },\n },\n\n body: {\n enabled: true,\n modelPath: '../models/posenet.json',\n inputSize: 257, // fixed value\n maxDetections: 10, // maximum number of people detected in the input\n // should be set to the minimum number for performance\n scoreThreshold: 0.5, // threshold for deciding when to remove boxes based on score\n // in non-maximum suppression\n nmsRadius: 20, // radius for deciding points are too close in non-maximum suppression\n outputStride: 16, // size of block in which to run point detectopn, smaller value means higher resolution\n // defined by model itself, can be 8, 16, or 32\n modelType: 'MobileNet', // Human includes MobileNet version, but you can switch to ResNet\n },\n\n hand: {\n enabled: true,\n rotation: false, // use best-guess rotated hand image or just box with rotation as-is\n // false means higher performance, but incorrect finger mapping if hand is inverted\n inputSize: 256, // fixed value\n skipFrames: 12, // how many frames to go without re-running the hand bounding box detector\n // only used for video inputs\n // e.g., if model is running st 25 FPS, we can re-use existing bounding\n // box for updated hand skeleton analysis as the hand probably\n // hasn't moved much in short time (10 * 1/25 = 0.25 sec)\n minConfidence: 0.1, // threshold for discarding a prediction\n iouThreshold: 0.1, // threshold for deciding whether boxes overlap too much\n // in non-maximum suppression\n scoreThreshold: 0.5, // threshold for deciding when to remove boxes based on\n // score in non-maximum suppression\n maxHands: 1, // maximum number of hands detected in the input\n // should be set to the minimum number for performance\n landmarks: true, // detect hand landmarks or just hand boundary box\n detector: {\n modelPath: '../models/handdetect.json',\n },\n skeleton: {\n modelPath: '../models/handskeleton.json',\n },\n },\n};\n", "// data:image/jpeg;base64,\nexport const face = 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+ "sourcesContent": ["export * from '@tensorflow/tfjs-node-gpu';\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as blazeface from './blazeface';\nimport * as facepipeline from './facepipeline';\nimport * as coords from './coords';\n\nexport class MediaPipeFaceMesh {\n facePipeline: any;\n config: any;\n\n constructor(blazeFace, blazeMeshModel, irisModel, config) {\n this.facePipeline = new facepipeline.Pipeline(blazeFace, blazeMeshModel, irisModel, config);\n this.config = config;\n }\n\n async estimateFaces(input, config) {\n const predictions = await this.facePipeline.predict(input, config);\n const results: Array<{}> = [];\n for (const prediction of (predictions || [])) {\n if (prediction.isDisposedInternal) continue; // guard against disposed tensors on long running operations such as pause in middle of processing\n const mesh = prediction.coords ? prediction.coords.arraySync() : null;\n const meshRaw = prediction.rawCoords;\n const annotations = {};\n if (mesh && mesh.length > 0) {\n for (const key of Object.keys(coords.MESH_ANNOTATIONS)) {\n annotations[key] = coords.MESH_ANNOTATIONS[key].map((index) => mesh[index]);\n }\n }\n const boxRaw = (config.face.mesh.returnRawData && prediction.box) ? { topLeft: prediction.box.startPoint, bottomRight: prediction.box.endPoint } : null;\n const box = prediction.box ? [\n Math.max(0, prediction.box.startPoint[0]),\n Math.max(0, prediction.box.startPoint[1]),\n Math.min(input.shape[2], prediction.box.endPoint[0]) - prediction.box.startPoint[0],\n Math.min(input.shape[1], prediction.box.endPoint[1]) - prediction.box.startPoint[1],\n ] : 0;\n results.push({ confidence: prediction.confidence || 0, box, mesh, boxRaw, meshRaw, annotations, image: prediction.image ? tf.clone(prediction.image) : null });\n if (prediction.coords) prediction.coords.dispose();\n if (prediction.image) prediction.image.dispose();\n }\n return results;\n }\n}\n\nlet faceModels = [null, null, null];\nexport async function load(config) {\n // @ts-ignore\n faceModels = await Promise.all([\n (!faceModels[0] && config.face.enabled) ? blazeface.load(config) : null,\n (!faceModels[1] && config.face.mesh.enabled) ? tf.loadGraphModel(config.face.mesh.modelPath, { fromTFHub: config.face.mesh.modelPath.includes('tfhub.dev') }) : null,\n (!faceModels[2] && config.face.iris.enabled) ? tf.loadGraphModel(config.face.iris.modelPath, { fromTFHub: config.face.iris.modelPath.includes('tfhub.dev') }) : null,\n ]);\n const faceMesh = new MediaPipeFaceMesh(faceModels[0], faceModels[1], faceModels[2], config);\n if (config.face.mesh.enabled) log(`load model: ${config.face.mesh.modelPath.match(/\\/(.*)\\./)[1]}`);\n if (config.face.iris.enabled) log(`load model: ${config.face.iris.modelPath.match(/\\/(.*)\\./)[1]}`);\n return faceMesh;\n}\n\nexports.triangulation = coords.TRI468;\n", "export const partNames = [\n 'nose', 'leftEye', 'rightEye', 'leftEar', 'rightEar', 'leftShoulder',\n 'rightShoulder', 'leftElbow', 'rightElbow', 'leftWrist', 'rightWrist',\n 'leftHip', 'rightHip', 'leftKnee', 'rightKnee', 'leftAnkle', 'rightAnkle',\n];\n\nexport const NUM_KEYPOINTS = exports.partNames.length;\n\nexport const partIds = exports.partNames.reduce((result, jointName, i) => {\n result[jointName] = i;\n return result;\n}, {});\n\nconst connectedPartNames = [\n ['leftHip', 'leftShoulder'], ['leftElbow', 'leftShoulder'],\n ['leftElbow', 'leftWrist'], ['leftHip', 'leftKnee'],\n ['leftKnee', 'leftAnkle'], ['rightHip', 'rightShoulder'],\n ['rightElbow', 'rightShoulder'], ['rightElbow', 'rightWrist'],\n ['rightHip', 'rightKnee'], ['rightKnee', 'rightAnkle'],\n ['leftShoulder', 'rightShoulder'], ['leftHip', 'rightHip'],\n];\nexport const connectedPartIndices = connectedPartNames.map(([jointNameA, jointNameB]) => ([partIds[jointNameA], partIds[jointNameB]]));\n\nexport const poseChain = [\n ['nose', 'leftEye'], ['leftEye', 'leftEar'], ['nose', 'rightEye'],\n ['rightEye', 'rightEar'], ['nose', 'leftShoulder'],\n ['leftShoulder', 'leftElbow'], ['leftElbow', 'leftWrist'],\n ['leftShoulder', 'leftHip'], ['leftHip', 'leftKnee'],\n ['leftKnee', 'leftAnkle'], ['nose', 'rightShoulder'],\n ['rightShoulder', 'rightElbow'], ['rightElbow', 'rightWrist'],\n ['rightShoulder', 'rightHip'], ['rightHip', 'rightKnee'],\n ['rightKnee', 'rightAnkle'],\n];\n\nexport const partChannels = [\n 'left_face',\n 'right_face',\n 'right_upper_leg_front',\n 'right_lower_leg_back',\n 'right_upper_leg_back',\n 'left_lower_leg_front',\n 'left_upper_leg_front',\n 'left_upper_leg_back',\n 'left_lower_leg_back',\n 'right_feet',\n 'right_lower_leg_front',\n 'left_feet',\n 'torso_front',\n 'torso_back',\n 'right_upper_arm_front',\n 'right_upper_arm_back',\n 'right_lower_arm_back',\n 'left_lower_arm_front',\n 'left_upper_arm_front',\n 'left_upper_arm_back',\n 'left_lower_arm_back',\n 'right_hand',\n 'right_lower_arm_front',\n 'left_hand',\n];\n", "import { log } from './log';\nimport * as tf from '../dist/tfjs.esm.js';\nimport * as backend from './tfjs/backend';\nimport * as facemesh from './blazeface/facemesh';\nimport * as faceboxes from './faceboxes/faceboxes';\nimport * as age from './age/age';\nimport * as gender from './gender/gender';\nimport * as emotion from './emotion/emotion';\nimport * as embedding from './embedding/embedding';\nimport * as posenet from './posenet/posenet';\nimport * as handpose from './handpose/handpose';\nimport * as gesture from './gesture/gesture';\nimport * as image from './image';\nimport * as profile from './profile';\nimport * as config from '../config';\nimport * as sample from './sample';\nimport * as app from '../package.json';\n\n// helper function: gets elapsed time on both browser and nodejs\nconst now = () => {\n if (typeof performance !== 'undefined') return performance.now();\n return parseInt((Number(process.hrtime.bigint()) / 1000 / 1000).toString());\n};\n\n// helper function: perform deep merge of multiple objects so it allows full inheriance with overrides\nfunction mergeDeep(...objects) {\n const isObject = (obj) => obj && typeof obj === 'object';\n return objects.reduce((prev, obj) => {\n Object.keys(obj || {}).forEach((key) => {\n const pVal = prev[key];\n const oVal = obj[key];\n if (Array.isArray(pVal) && Array.isArray(oVal)) {\n prev[key] = pVal.concat(...oVal);\n } else if (isObject(pVal) && isObject(oVal)) {\n prev[key] = mergeDeep(pVal, oVal);\n } else {\n prev[key] = oVal;\n }\n });\n return prev;\n }, {});\n}\n\nclass Human {\n tf: any;\n package: any;\n version: string;\n config: any;\n fx: any;\n state: string;\n numTensors: number;\n analyzeMemoryLeaks: boolean;\n checkSanity: boolean;\n firstRun: boolean;\n perf: any;\n models: any;\n // models\n facemesh: any;\n age: any;\n gender: any;\n emotion: any;\n body: any;\n hand: any;\n\n constructor(userConfig = {}) {\n this.tf = tf;\n this.package = app;\n this.version = app.version;\n this.config = mergeDeep(config.default, userConfig);\n this.fx = null;\n this.state = 'idle';\n this.numTensors = 0;\n this.analyzeMemoryLeaks = false;\n this.checkSanity = false;\n this.firstRun = true;\n this.perf = {};\n // object that contains all initialized models\n this.models = {\n facemesh: null,\n posenet: null,\n handpose: null,\n iris: null,\n age: null,\n gender: null,\n emotion: null,\n };\n // export raw access to underlying models\n this.facemesh = facemesh;\n this.age = age;\n this.gender = gender;\n this.emotion = emotion;\n this.body = posenet;\n this.hand = handpose;\n }\n\n profile() {\n if (this.config.profile) return profile.data;\n return {};\n }\n\n // helper function: measure tensor leak\n analyze(...msg) {\n if (!this.analyzeMemoryLeaks) return;\n const current = this.tf.engine().state.numTensors;\n const previous = this.numTensors;\n this.numTensors = current;\n const leaked = current - previous;\n if (leaked !== 0) log(...msg, leaked);\n }\n\n // quick sanity check on inputs\n sanity(input) {\n if (!this.checkSanity) return null;\n if (!input) return 'input is not defined';\n if (this.tf.ENV.flags.IS_NODE && !(input instanceof this.tf.Tensor)) {\n return 'input must be a tensor';\n }\n try {\n this.tf.getBackend();\n } catch {\n return 'backend not loaded';\n }\n return null;\n }\n\n simmilarity(embedding1, embedding2) {\n if (this.config.face.embedding.enabled) return embedding.simmilarity(embedding1, embedding2);\n return 0;\n }\n\n // preload models, not explicitly required as it's done automatically on first use\n async load(userConfig = null) {\n this.state = 'load';\n const timeStamp = now();\n if (userConfig) this.config = mergeDeep(this.config, userConfig);\n\n if (this.firstRun) {\n log(`version: ${this.version} TensorFlow/JS version: ${this.tf.version_core}`);\n await this.checkBackend(true);\n if (this.tf.ENV.flags.IS_BROWSER) {\n log('configuration:', this.config);\n log('tf flags:', this.tf.ENV.flags);\n }\n }\n const face = this.config.face.detector.modelPath.includes('faceboxes') ? faceboxes : facemesh;\n if (this.config.async) {\n [\n this.models.face,\n this.models.age,\n this.models.gender,\n this.models.emotion,\n this.models.embedding,\n this.models.posenet,\n this.models.handpose,\n ] = await Promise.all([\n this.models.face || (this.config.face.enabled ? face.load(this.config) : null),\n this.models.age || ((this.config.face.enabled && this.config.face.age.enabled) ? age.load(this.config) : null),\n this.models.gender || ((this.config.face.enabled && this.config.face.gender.enabled) ? gender.load(this.config) : null),\n this.models.emotion || ((this.config.face.enabled && this.config.face.emotion.enabled) ? emotion.load(this.config) : null),\n this.models.embedding || ((this.config.face.enabled && this.config.face.embedding.enabled) ? embedding.load(this.config) : null),\n this.models.posenet || (this.config.body.enabled ? posenet.load(this.config) : null),\n this.models.handpose || (this.config.hand.enabled ? handpose.load(this.config) : null),\n ]);\n } else {\n if (this.config.face.enabled && !this.models.face) this.models.face = await face.load(this.config);\n if (this.config.face.enabled && this.config.face.age.enabled && !this.models.age) this.models.age = await age.load(this.config);\n if (this.config.face.enabled && this.config.face.gender.enabled && !this.models.gender) this.models.gender = await gender.load(this.config);\n if (this.config.face.enabled && this.config.face.emotion.enabled && !this.models.emotion) this.models.emotion = await emotion.load(this.config);\n if (this.config.face.enabled && this.config.face.embedding.enabled && !this.models.embedding) this.models.embedding = await embedding.load(this.config);\n if (this.config.body.enabled && !this.models.posenet) this.models.posenet = await posenet.load(this.config);\n if (this.config.hand.enabled && !this.models.handpose) this.models.handpose = await handpose.load(this.config);\n }\n\n if (this.firstRun) {\n log('tf engine state:', this.tf.engine().state.numBytes, 'bytes', this.tf.engine().state.numTensors, 'tensors');\n this.firstRun = false;\n }\n\n const current = Math.trunc(now() - timeStamp);\n if (current > (this.perf.load || 0)) this.perf.load = current;\n }\n\n // check if backend needs initialization if it changed\n async checkBackend(force = false) {\n if (this.config.backend && (this.config.backend !== '') && force || (this.tf.getBackend() !== this.config.backend)) {\n const timeStamp = now();\n this.state = 'backend';\n /* force backend reload\n if (this.config.backend in tf.engine().registry) {\n const backendFactory = tf.findBackendFactory(this.config.backend);\n tf.removeBackend(this.config.backend);\n tf.registerBackend(this.config.backend, backendFactory);\n } else {\n log('Backend not registred:', this.config.backend);\n }\n */\n\n log('setting backend:', this.config.backend);\n\n if (this.config.backend === 'wasm') {\n log('settings wasm path:', this.config.wasmPath);\n this.tf.setWasmPaths(this.config.wasmPath);\n const simd = await this.tf.env().getAsync('WASM_HAS_SIMD_SUPPORT');\n if (!simd) log('warning: wasm simd support is not enabled');\n }\n\n if (this.config.backend === 'humangl') backend.register();\n try {\n await this.tf.setBackend(this.config.backend);\n } catch (err) {\n log('error: cannot set backend:', this.config.backend, err);\n }\n this.tf.enableProdMode();\n /* debug mode is really too mcuh\n tf.enableDebugMode();\n */\n if (this.tf.getBackend() === 'webgl') {\n if (this.config.deallocate) {\n log('changing webgl: WEBGL_DELETE_TEXTURE_THRESHOLD:', this.config.deallocate);\n this.tf.ENV.set('WEBGL_DELETE_TEXTURE_THRESHOLD', this.config.deallocate ? 0 : -1);\n }\n this.tf.ENV.set('WEBGL_FORCE_F16_TEXTURES', true);\n this.tf.ENV.set('WEBGL_PACK_DEPTHWISECONV', true);\n const gl = await this.tf.backend().getGPGPUContext().gl;\n log(`gl version:${gl.getParameter(gl.VERSION)} renderer:${gl.getParameter(gl.RENDERER)}`);\n }\n await this.tf.ready();\n this.perf.backend = Math.trunc(now() - timeStamp);\n }\n }\n\n async detectFace(input) {\n // run facemesh, includes blazeface and iris\n // eslint-disable-next-line no-async-promise-executor\n let timeStamp;\n let ageRes;\n let genderRes;\n let emotionRes;\n let embeddingRes;\n const faceRes: Array<{ confidence: number, box: any, mesh: any, meshRaw: any, boxRaw: any, annotations: any, age: number, gender: string, genderConfidence: number, emotion: string, embedding: any, iris: number }> = [];\n this.state = 'run:face';\n timeStamp = now();\n const faces = await this.models.face?.estimateFaces(input, this.config);\n this.perf.face = Math.trunc(now() - timeStamp);\n for (const face of faces) {\n this.analyze('Get Face');\n\n // is something went wrong, skip the face\n if (!face.image || face.image.isDisposedInternal) {\n log('Face object is disposed:', face.image);\n continue;\n }\n\n // run age, inherits face from blazeface\n this.analyze('Start Age:');\n if (this.config.async) {\n ageRes = this.config.face.age.enabled ? age.predict(face.image, this.config) : {};\n } else {\n this.state = 'run:age';\n timeStamp = now();\n ageRes = this.config.face.age.enabled ? await age.predict(face.image, this.config) : {};\n this.perf.age = Math.trunc(now() - timeStamp);\n }\n\n // run gender, inherits face from blazeface\n this.analyze('Start Gender:');\n if (this.config.async) {\n genderRes = this.config.face.gender.enabled ? gender.predict(face.image, this.config) : {};\n } else {\n this.state = 'run:gender';\n timeStamp = now();\n genderRes = this.config.face.gender.enabled ? await gender.predict(face.image, this.config) : {};\n this.perf.gender = Math.trunc(now() - timeStamp);\n }\n\n // run emotion, inherits face from blazeface\n this.analyze('Start Emotion:');\n if (this.config.async) {\n emotionRes = this.config.face.emotion.enabled ? emotion.predict(face.image, this.config) : {};\n } else {\n this.state = 'run:emotion';\n timeStamp = now();\n emotionRes = this.config.face.emotion.enabled ? await emotion.predict(face.image, this.config) : {};\n this.perf.emotion = Math.trunc(now() - timeStamp);\n }\n this.analyze('End Emotion:');\n\n // run emotion, inherits face from blazeface\n this.analyze('Start Embedding:');\n if (this.config.async) {\n embeddingRes = this.config.face.embedding.enabled ? embedding.predict(face.image, this.config) : {};\n } else {\n this.state = 'run:embedding';\n timeStamp = now();\n embeddingRes = this.config.face.embedding.enabled ? await embedding.predict(face.image, this.config) : {};\n this.perf.embedding = Math.trunc(now() - timeStamp);\n }\n this.analyze('End Emotion:');\n\n // if async wait for results\n if (this.config.async) {\n [ageRes, genderRes, emotionRes, embeddingRes] = await Promise.all([ageRes, genderRes, emotionRes, embeddingRes]);\n }\n\n this.analyze('Finish Face:');\n\n // calculate iris distance\n // iris: array[ center, left, top, right, bottom]\n if (!this.config.face.iris.enabled && face?.annotations?.leftEyeIris && face?.annotations?.rightEyeIris) {\n delete face.annotations.leftEyeIris;\n delete face.annotations.rightEyeIris;\n }\n const irisSize = (face.annotations?.leftEyeIris && face.annotations?.rightEyeIris)\n /* average human iris size is 11.7mm */\n ? 11.7 * Math.max(Math.abs(face.annotations.leftEyeIris[3][0] - face.annotations.leftEyeIris[1][0]), Math.abs(face.annotations.rightEyeIris[4][1] - face.annotations.rightEyeIris[2][1]))\n : 0;\n\n // combine results\n faceRes.push({\n confidence: face.confidence,\n box: face.box,\n mesh: face.mesh,\n boxRaw: face.boxRaw,\n meshRaw: face.meshRaw,\n annotations: face.annotations,\n age: ageRes.age,\n gender: genderRes.gender,\n genderConfidence: genderRes.confidence,\n emotion: emotionRes,\n embedding: embeddingRes,\n iris: (irisSize !== 0) ? Math.trunc(irisSize) / 100 : 0,\n // image: face.image.toInt().squeeze(),\n });\n\n // dont need face anymore\n face.image?.dispose();\n this.analyze('End Face');\n }\n this.analyze('End FaceMesh:');\n if (this.config.async) {\n if (this.perf.face) delete this.perf.face;\n if (this.perf.age) delete this.perf.age;\n if (this.perf.gender) delete this.perf.gender;\n if (this.perf.emotion) delete this.perf.emotion;\n }\n return faceRes;\n }\n\n /*\n async processImage(input, userConfig = {}) {\n this.state = 'image';\n this.config = mergeDeep(this.config, userConfig);\n const process = image.process(input, this.config);\n process?.tensor?.dispose();\n return process?.canvas;\n }\n */\n\n // main detect function\n async detect(input, userConfig = {}) {\n // detection happens inside a promise\n return new Promise(async (resolve) => {\n this.state = 'config';\n let timeStamp;\n\n // update configuration\n this.config = mergeDeep(this.config, userConfig);\n\n // sanity checks\n this.state = 'check';\n const error = this.sanity(input);\n if (error) {\n log(error, input);\n resolve({ error });\n }\n\n let poseRes;\n let handRes;\n let faceRes;\n\n const timeStart = now();\n\n // configure backend\n await this.checkBackend();\n\n // load models if enabled\n await this.load();\n\n if (this.config.scoped) this.tf.engine().startScope();\n this.analyze('Start Scope:');\n\n timeStamp = now();\n const process = image.process(input, this.config);\n if (!process || !process.tensor) {\n log('could not convert input to tensor');\n resolve({ error: 'could not convert input to tensor' });\n return;\n }\n this.perf.image = Math.trunc(now() - timeStamp);\n this.analyze('Get Image:');\n\n // run face detection followed by all models that rely on face bounding box: face mesh, age, gender, emotion\n if (this.config.async) {\n faceRes = this.config.face.enabled ? this.detectFace(process.tensor) : [];\n if (this.perf.face) delete this.perf.face;\n } else {\n this.state = 'run:face';\n timeStamp = now();\n faceRes = this.config.face.enabled ? await this.detectFace(process.tensor) : [];\n this.perf.face = Math.trunc(now() - timeStamp);\n }\n\n // run posenet\n this.analyze('Start Body:');\n if (this.config.async) {\n poseRes = this.config.body.enabled ? this.models.posenet?.estimatePoses(process.tensor, this.config) : [];\n if (this.perf.body) delete this.perf.body;\n } else {\n this.state = 'run:body';\n timeStamp = now();\n poseRes = this.config.body.enabled ? await this.models.posenet?.estimatePoses(process.tensor, this.config) : [];\n this.perf.body = Math.trunc(now() - timeStamp);\n }\n this.analyze('End Body:');\n\n // run handpose\n this.analyze('Start Hand:');\n if (this.config.async) {\n handRes = this.config.hand.enabled ? this.models.handpose?.estimateHands(process.tensor, this.config) : [];\n if (this.perf.hand) delete this.perf.hand;\n } else {\n this.state = 'run:hand';\n timeStamp = now();\n handRes = this.config.hand.enabled ? await this.models.handpose?.estimateHands(process.tensor, this.config) : [];\n this.perf.hand = Math.trunc(now() - timeStamp);\n }\n this.analyze('End Hand:');\n\n // if async wait for results\n if (this.config.async) {\n [faceRes, poseRes, handRes] = await Promise.all([faceRes, poseRes, handRes]);\n }\n process.tensor.dispose();\n\n if (this.config.scoped) this.tf.engine().endScope();\n this.analyze('End Scope:');\n\n let gestureRes = [];\n if (this.config.gesture.enabled) {\n timeStamp = now();\n // @ts-ignore\n gestureRes = [...gesture.face(faceRes), ...gesture.body(poseRes), ...gesture.hand(handRes), ...gesture.iris(faceRes)];\n if (!this.config.async) this.perf.gesture = Math.trunc(now() - timeStamp);\n else if (this.perf.gesture) delete this.perf.gesture;\n }\n\n this.perf.total = Math.trunc(now() - timeStart);\n this.state = 'idle';\n resolve({ face: faceRes, body: poseRes, hand: handRes, gesture: gestureRes, performance: this.perf, canvas: process.canvas });\n });\n }\n\n async warmupBitmap() {\n const b64toBlob = (base64, type = 'application/octet-stream') => fetch(`data:${type};base64,${base64}`).then((res) => res.blob());\n let blob;\n let res;\n switch (this.config.warmup) {\n case 'face': blob = await b64toBlob(sample.face); break;\n case 'full': blob = await b64toBlob(sample.body); break;\n default: blob = null;\n }\n if (blob) {\n const bitmap = await createImageBitmap(blob);\n res = await this.detect(bitmap, this.config);\n bitmap.close();\n }\n return res;\n }\n\n async warmupCanvas() {\n return new Promise((resolve) => {\n let src;\n let size = 0;\n switch (this.config.warmup) {\n case 'face':\n size = 256;\n src = 'data:image/jpeg;base64,' + sample.face;\n break;\n case 'full':\n size = 1200;\n src = 'data:image/jpeg;base64,' + sample.body;\n break;\n default:\n src = null;\n }\n const img = new Image(size, size);\n img.onload = () => {\n const canvas = (typeof OffscreenCanvas !== 'undefined') ? new OffscreenCanvas(size, size) : document.createElement('canvas');\n canvas.width = size;\n canvas.height = size;\n const ctx = canvas.getContext('2d');\n ctx?.drawImage(img, 0, 0);\n const data = ctx?.getImageData(0, 0, size, size);\n this.detect(data, this.config).then((res) => resolve(res));\n };\n if (src) img.src = src;\n else resolve(null);\n });\n }\n\n async warmupNode() {\n const atob = (str) => Buffer.from(str, 'base64');\n const img = this.config.warmup === 'face' ? atob(sample.face) : atob(sample.body);\n // @ts-ignore\n const data = tf.node.decodeJpeg(img); // tf.node is only defined when compiling for nodejs\n const expanded = data.expandDims(0);\n this.tf.dispose(data);\n // log('Input:', expanded);\n const res = await this.detect(expanded, this.config);\n this.tf.dispose(expanded);\n return res;\n }\n\n async warmup(userConfig) {\n const t0 = now();\n if (userConfig) this.config = mergeDeep(this.config, userConfig);\n const video = this.config.videoOptimized;\n this.config.videoOptimized = false;\n let res;\n if (typeof createImageBitmap === 'function') res = await this.warmupBitmap();\n else if (typeof Image !== 'undefined') res = await this.warmupCanvas();\n else res = await this.warmupNode();\n this.config.videoOptimized = video;\n const t1 = now();\n log('Warmup', this.config.warmup, Math.round(t1 - t0), 'ms', res);\n return res;\n }\n}\n\nexport { Human as default };\n", "// helper function: wrapper around console output\nexport function log(...msg) {\n const dt = new Date();\n const ts = `${dt.getHours().toString().padStart(2, '0')}:${dt.getMinutes().toString().padStart(2, '0')}:${dt.getSeconds().toString().padStart(2, '0')}.${dt.getMilliseconds().toString().padStart(3, '0')}`;\n // eslint-disable-next-line no-console\n if (msg) console.log(ts, 'Human:', ...msg);\n}\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\n\nexport const config = {\n name: 'humangl',\n priority: 99,\n canvas: null,\n gl: null,\n width: 1024,\n height: 1024,\n webGLattr: { // https://www.khronos.org/registry/webgl/specs/latest/1.0/#5.2\n alpha: false,\n antialias: false,\n premultipliedAlpha: false,\n preserveDrawingBuffer: false,\n depth: false,\n stencil: false,\n failIfMajorPerformanceCaveat: false,\n desynchronized: true,\n },\n};\n\nexport function register() {\n if (!tf.findBackend(config.name)) {\n log('backend registration:', config.name);\n try {\n // @ts-ignore\n config.canvas = (typeof OffscreenCanvas !== 'undefined') ? new OffscreenCanvas(config.width, config.height) : document.createElement('canvas');\n } catch (err) {\n log('error: cannot create canvas:', err);\n return;\n }\n try {\n // @ts-ignore\n config.gl = config.canvas.getContext('webgl2', config.webGLattr);\n } catch (err) {\n log('error: cannot get WebGL2 context:', err);\n return;\n }\n try {\n tf.setWebGLContext(2, config.gl);\n } catch (err) {\n log('error: cannot set WebGL2 context:', err);\n return;\n }\n try {\n const ctx = new tf.GPGPUContext(config.gl);\n tf.registerBackend(config.name, () => new tf.MathBackendWebGL(ctx), config.priority);\n } catch (err) {\n log('error: cannot register WebGL backend:', err);\n return;\n }\n try {\n const kernels = tf.getKernelsForBackend('webgl');\n kernels.forEach((kernelConfig) => {\n const newKernelConfig = { ...kernelConfig, backendName: config.name };\n tf.registerKernel(newKernelConfig);\n });\n } catch (err) {\n log('error: cannot update WebGL backend registration:', err);\n return;\n }\n try {\n tf.ENV.set('WEBGL_VERSION', 2);\n // @ts-ignore\n tf.ENV.set('WEBGL_MAX_TEXTURE_SIZE', config.gl.getParameter(config.gl.MAX_TEXTURE_SIZE));\n tf.ENV.set('WEBGL_FORCE_F16_TEXTURES', true);\n tf.ENV.set('WEBGL_PACK_DEPTHWISECONV', true);\n } catch (err) {\n log('error: cannot set WebGL backend flags:', err);\n return;\n }\n log('backend registered:', config.name);\n }\n}\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\n\nconst NUM_LANDMARKS = 6;\n\nfunction generateAnchors(inputSize) {\n const spec = { strides: [inputSize / 16, inputSize / 8], anchors: [2, 6] };\n const anchors: Array<[number, number]> = [];\n for (let i = 0; i < spec.strides.length; i++) {\n const stride = spec.strides[i];\n const gridRows = Math.floor((inputSize + stride - 1) / stride);\n const gridCols = Math.floor((inputSize + stride - 1) / stride);\n const anchorsNum = spec.anchors[i];\n for (let gridY = 0; gridY < gridRows; gridY++) {\n const anchorY = stride * (gridY + 0.5);\n for (let gridX = 0; gridX < gridCols; gridX++) {\n const anchorX = stride * (gridX + 0.5);\n for (let n = 0; n < anchorsNum; n++) {\n anchors.push([anchorX, anchorY]);\n }\n }\n }\n }\n return anchors;\n}\n\nexport const disposeBox = (box) => {\n box.startEndTensor.dispose();\n box.startPoint.dispose();\n box.endPoint.dispose();\n};\n\nconst createBox = (startEndTensor) => ({\n startEndTensor,\n startPoint: tf.slice(startEndTensor, [0, 0], [-1, 2]),\n endPoint: tf.slice(startEndTensor, [0, 2], [-1, 2]),\n});\n\nfunction decodeBounds(boxOutputs, anchors, inputSize) {\n const boxStarts = tf.slice(boxOutputs, [0, 1], [-1, 2]);\n const centers = tf.add(boxStarts, anchors);\n const boxSizes = tf.slice(boxOutputs, [0, 3], [-1, 2]);\n const boxSizesNormalized = tf.div(boxSizes, inputSize);\n const centersNormalized = tf.div(centers, inputSize);\n const halfBoxSize = tf.div(boxSizesNormalized, 2);\n const starts = tf.sub(centersNormalized, halfBoxSize);\n const ends = tf.add(centersNormalized, halfBoxSize);\n const startNormalized = tf.mul(starts, inputSize);\n const endNormalized = tf.mul(ends, inputSize);\n const concatAxis = 1;\n return tf.concat2d([startNormalized, endNormalized], concatAxis);\n}\n\nexport class BlazeFaceModel {\n blazeFaceModel: any;\n width: number;\n height: number;\n anchorsData: any;\n anchors: any;\n inputSize: number;\n config: any;\n scaleFaces: number;\n\n constructor(model, config) {\n this.blazeFaceModel = model;\n this.width = config.face.detector.inputSize;\n this.height = config.face.detector.inputSize;\n this.anchorsData = generateAnchors(config.face.detector.inputSize);\n this.anchors = tf.tensor2d(this.anchorsData);\n this.inputSize = tf.tensor1d([this.width, this.height]);\n this.config = config;\n this.scaleFaces = 0.8;\n }\n\n async getBoundingBoxes(inputImage) {\n // sanity check on input\n if ((!inputImage) || (inputImage.isDisposedInternal) || (inputImage.shape.length !== 4) || (inputImage.shape[1] < 1) || (inputImage.shape[2] < 1)) return null;\n const [detectedOutputs, boxes, scores] = tf.tidy(() => {\n const resizedImage = inputImage.resizeBilinear([this.width, this.height]);\n // const normalizedImage = tf.mul(tf.sub(resizedImage.div(255), 0.5), 2);\n const normalizedImage = tf.sub(resizedImage.div(127.5), 1);\n const batchedPrediction = this.blazeFaceModel.predict(normalizedImage);\n let prediction;\n // are we using tfhub or pinto converted model?\n if (Array.isArray(batchedPrediction)) {\n const sorted = batchedPrediction.sort((a, b) => a.size - b.size);\n const concat384 = tf.concat([sorted[0], sorted[2]], 2); // dim: 384, 1 + 16\n const concat512 = tf.concat([sorted[1], sorted[3]], 2); // dim: 512, 1 + 16\n const concat = tf.concat([concat512, concat384], 1);\n prediction = concat.squeeze(0);\n } else {\n prediction = batchedPrediction.squeeze(); // when using tfhub model\n }\n const decodedBounds = decodeBounds(prediction, this.anchors, this.inputSize);\n const logits = tf.slice(prediction, [0, 0], [-1, 1]);\n const scoresOut = tf.sigmoid(logits).squeeze();\n return [prediction, decodedBounds, scoresOut];\n });\n const boxIndicesTensor = await tf.image.nonMaxSuppressionAsync(boxes, scores, this.config.face.detector.maxFaces, this.config.face.detector.iouThreshold, this.config.face.detector.scoreThreshold);\n const boxIndices = boxIndicesTensor.arraySync();\n boxIndicesTensor.dispose();\n const boundingBoxesMap = boxIndices.map((boxIndex) => tf.slice(boxes, [boxIndex, 0], [1, -1]));\n const boundingBoxes = boundingBoxesMap.map((boundingBox) => {\n const vals = boundingBox.arraySync();\n boundingBox.dispose();\n return vals;\n });\n\n const scoresVal = scores.dataSync();\n const annotatedBoxes: Array<{ box: any, landmarks: any, anchor: any, confidence: number }> = [];\n for (let i = 0; i < boundingBoxes.length; i++) {\n const boxIndex = boxIndices[i];\n const confidence = scoresVal[boxIndex];\n if (confidence > this.config.face.detector.minConfidence) {\n const box = createBox(boundingBoxes[i]);\n const anchor = this.anchorsData[boxIndex];\n const landmarks = tf.tidy(() => tf.slice(detectedOutputs, [boxIndex, NUM_LANDMARKS - 1], [1, -1]).squeeze().reshape([NUM_LANDMARKS, -1]));\n annotatedBoxes.push({ box, landmarks, anchor, confidence });\n }\n }\n detectedOutputs.dispose();\n boxes.dispose();\n scores.dispose();\n detectedOutputs.dispose();\n return {\n boxes: annotatedBoxes,\n scaleFactor: [inputImage.shape[2] / this.width, inputImage.shape[1] / this.height],\n };\n }\n}\n\nexport async function load(config) {\n const blazeface = await tf.loadGraphModel(config.face.detector.modelPath, { fromTFHub: config.face.detector.modelPath.includes('tfhub.dev') });\n const model = new BlazeFaceModel(blazeface, config);\n log(`load model: ${config.face.detector.modelPath.match(/\\/(.*)\\./)[1]}`);\n return model;\n}\n", "/* eslint-disable class-methods-use-this */\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as bounding from './box';\nimport * as util from './util';\nimport * as coords from './coords';\n\nconst LANDMARKS_COUNT = 468;\nconst MESH_MOUTH_INDEX = 13;\nconst MESH_KEYPOINTS_LINE_OF_SYMMETRY_INDICES = [MESH_MOUTH_INDEX, coords.MESH_ANNOTATIONS['midwayBetweenEyes'][0]];\nconst BLAZEFACE_MOUTH_INDEX = 3;\nconst BLAZEFACE_NOSE_INDEX = 2;\nconst BLAZEFACE_KEYPOINTS_LINE_OF_SYMMETRY_INDICES = [BLAZEFACE_MOUTH_INDEX, BLAZEFACE_NOSE_INDEX];\nconst LEFT_EYE_OUTLINE = coords.MESH_ANNOTATIONS['leftEyeLower0'];\nconst LEFT_EYE_BOUNDS = [LEFT_EYE_OUTLINE[0], LEFT_EYE_OUTLINE[LEFT_EYE_OUTLINE.length - 1]];\nconst RIGHT_EYE_OUTLINE = coords.MESH_ANNOTATIONS['rightEyeLower0'];\nconst RIGHT_EYE_BOUNDS = [RIGHT_EYE_OUTLINE[0], RIGHT_EYE_OUTLINE[RIGHT_EYE_OUTLINE.length - 1]];\nconst IRIS_UPPER_CENTER_INDEX = 3;\nconst IRIS_LOWER_CENTER_INDEX = 4;\nconst IRIS_IRIS_INDEX = 71;\nconst IRIS_NUM_COORDINATES = 76;\n\n// Replace the raw coordinates returned by facemesh with refined iris model coordinates. Update the z coordinate to be an average of the original and the new. This produces the best visual effect.\nfunction replaceRawCoordinates(rawCoords, newCoords, prefix, keys = null) {\n for (let i = 0; i < coords.MESH_TO_IRIS_INDICES_MAP.length; i++) {\n const { key, indices } = coords.MESH_TO_IRIS_INDICES_MAP[i];\n const originalIndices = coords.MESH_ANNOTATIONS[`${prefix}${key}`];\n // @ts-ignore\n if (!keys || keys.includes(key)) {\n for (let j = 0; j < indices.length; j++) {\n const index = indices[j];\n rawCoords[originalIndices[j]] = [\n newCoords[index][0], newCoords[index][1],\n (newCoords[index][2] + rawCoords[originalIndices[j]][2]) / 2,\n ];\n }\n }\n }\n}\n// The Pipeline coordinates between the bounding box and skeleton models.\nexport class Pipeline {\n storedBoxes: any;\n runsWithoutFaceDetector: number;\n boundingBoxDetector: any;\n meshDetector: any;\n irisModel: any;\n meshWidth: number;\n meshHeight: number;\n irisSize: number;\n irisEnlarge: number;\n skipped: number;\n detectedFaces: number;\n\n constructor(boundingBoxDetector, meshDetector, irisModel, config) {\n // An array of facial bounding boxes.\n this.storedBoxes = [];\n this.runsWithoutFaceDetector = 0;\n this.boundingBoxDetector = boundingBoxDetector;\n this.meshDetector = meshDetector;\n this.irisModel = irisModel;\n this.meshWidth = config.face.mesh.inputSize;\n this.meshHeight = config.face.mesh.inputSize;\n this.irisSize = config.face.iris.inputSize;\n this.irisEnlarge = 2.3;\n this.skipped = 0;\n this.detectedFaces = 0;\n }\n\n transformRawCoords(rawCoords, box, angle, rotationMatrix) {\n const boxSize = bounding.getBoxSize({ startPoint: box.startPoint, endPoint: box.endPoint });\n const scaleFactor = [boxSize[0] / this.meshWidth, boxSize[1] / this.meshHeight];\n const coordsScaled = rawCoords.map((coord) => ([\n scaleFactor[0] * (coord[0] - this.meshWidth / 2),\n scaleFactor[1] * (coord[1] - this.meshHeight / 2), coord[2],\n ]));\n const coordsRotationMatrix = (angle !== 0) ? util.buildRotationMatrix(angle, [0, 0]) : util.IDENTITY_MATRIX;\n const coordsRotated = (angle !== 0) ? coordsScaled.map((coord) => ([...util.rotatePoint(coord, coordsRotationMatrix), coord[2]])) : coordsScaled;\n const inverseRotationMatrix = (angle !== 0) ? util.invertTransformMatrix(rotationMatrix) : util.IDENTITY_MATRIX;\n const boxCenter = [...bounding.getBoxCenter({ startPoint: box.startPoint, endPoint: box.endPoint }), 1];\n return coordsRotated.map((coord) => ([\n coord[0] + util.dot(boxCenter, inverseRotationMatrix[0]),\n coord[1] + util.dot(boxCenter, inverseRotationMatrix[1]),\n coord[2],\n ]));\n }\n\n getLeftToRightEyeDepthDifference(rawCoords) {\n const leftEyeZ = rawCoords[LEFT_EYE_BOUNDS[0]][2];\n const rightEyeZ = rawCoords[RIGHT_EYE_BOUNDS[0]][2];\n return leftEyeZ - rightEyeZ;\n }\n\n // Returns a box describing a cropped region around the eye fit for passing to the iris model.\n getEyeBox(rawCoords, face, eyeInnerCornerIndex, eyeOuterCornerIndex, flip = false) {\n const box = bounding.squarifyBox(bounding.enlargeBox(this.calculateLandmarksBoundingBox([rawCoords[eyeInnerCornerIndex], rawCoords[eyeOuterCornerIndex]]), this.irisEnlarge));\n const boxSize = bounding.getBoxSize(box);\n let crop = tf.image.cropAndResize(face, [[\n box.startPoint[1] / this.meshHeight,\n box.startPoint[0] / this.meshWidth, box.endPoint[1] / this.meshHeight,\n box.endPoint[0] / this.meshWidth,\n ]], [0], [this.irisSize, this.irisSize]);\n if (flip) {\n crop = tf.image.flipLeftRight(crop);\n }\n return { box, boxSize, crop };\n }\n\n // Given a cropped image of an eye, returns the coordinates of the contours surrounding the eye and the iris.\n getEyeCoords(eyeData, eyeBox, eyeBoxSize, flip = false) {\n const eyeRawCoords: Array = [];\n for (let i = 0; i < IRIS_NUM_COORDINATES; i++) {\n const x = eyeData[i * 3];\n const y = eyeData[i * 3 + 1];\n const z = eyeData[i * 3 + 2];\n eyeRawCoords.push([\n (flip ? (1 - (x / this.irisSize)) : (x / this.irisSize)) * eyeBoxSize[0] + eyeBox.startPoint[0],\n (y / this.irisSize) * eyeBoxSize[1] + eyeBox.startPoint[1], z,\n ]);\n }\n return { rawCoords: eyeRawCoords, iris: eyeRawCoords.slice(IRIS_IRIS_INDEX) };\n }\n\n // The z-coordinates returned for the iris are unreliable, so we take the z values from the surrounding keypoints.\n getAdjustedIrisCoords(rawCoords, irisCoords, direction) {\n const upperCenterZ = rawCoords[coords.MESH_ANNOTATIONS[`${direction}EyeUpper0`][IRIS_UPPER_CENTER_INDEX]][2];\n const lowerCenterZ = rawCoords[coords.MESH_ANNOTATIONS[`${direction}EyeLower0`][IRIS_LOWER_CENTER_INDEX]][2];\n const averageZ = (upperCenterZ + lowerCenterZ) / 2;\n // Iris indices: 0: center | 1: right | 2: above | 3: left | 4: below\n return irisCoords.map((coord, i) => {\n let z = averageZ;\n if (i === 2) {\n z = upperCenterZ;\n } else if (i === 4) {\n z = lowerCenterZ;\n }\n return [coord[0], coord[1], z];\n });\n }\n\n async predict(input, config) {\n let useFreshBox = false;\n // run new detector every skipFrames unless we only want box to start with\n let detector;\n if ((this.skipped === 0) || (this.skipped > config.face.detector.skipFrames) || !config.face.mesh.enabled || !config.videoOptimized) {\n detector = await this.boundingBoxDetector.getBoundingBoxes(input);\n this.skipped = 0;\n }\n if (config.videoOptimized) this.skipped++;\n\n // if detector result count doesn't match current working set, use it to reset current working set\n if (detector && detector.boxes && (!config.face.mesh.enabled || (detector.boxes.length !== this.detectedFaces) && (this.detectedFaces !== config.face.detector.maxFaces))) {\n this.storedBoxes = [];\n this.detectedFaces = 0;\n for (const possible of detector.boxes) {\n this.storedBoxes.push({ startPoint: possible.box.startPoint.dataSync(), endPoint: possible.box.endPoint.dataSync(), landmarks: possible.landmarks, confidence: possible.confidence });\n }\n if (this.storedBoxes.length > 0) useFreshBox = true;\n }\n\n if (useFreshBox) {\n if (!detector || !detector.boxes || (detector.boxes.length === 0)) {\n this.storedBoxes = [];\n this.detectedFaces = 0;\n return null;\n }\n for (let i = 0; i < this.storedBoxes.length; i++) {\n const scaledBox = bounding.scaleBoxCoordinates({ startPoint: this.storedBoxes[i].startPoint, endPoint: this.storedBoxes[i].endPoint }, detector.scaleFactor);\n const enlargedBox = bounding.enlargeBox(scaledBox);\n const squarifiedBox = bounding.squarifyBox(enlargedBox);\n const landmarks = this.storedBoxes[i].landmarks.arraySync();\n const confidence = this.storedBoxes[i].confidence;\n this.storedBoxes[i] = { ...squarifiedBox, confidence, landmarks };\n }\n this.runsWithoutFaceDetector = 0;\n }\n if (detector && detector.boxes) {\n detector.boxes.forEach((prediction) => {\n prediction.box.startPoint.dispose();\n prediction.box.endPoint.dispose();\n prediction.landmarks.dispose();\n });\n }\n\n // log('face', `skipped: ${this.skipped} max: ${config.face.detector.maxFaces} detected: ${this.detectedFaces} stored: ${this.storedBoxes.length} new: ${detector?.boxes?.length}`);\n let results = tf.tidy(() => this.storedBoxes.map((box, i) => {\n // The facial bounding box landmarks could come either from blazeface (if we are using a fresh box), or from the mesh model (if we are reusing an old box).\n let face;\n let angle = 0;\n let rotationMatrix;\n if (config.face.detector.rotation) {\n const [indexOfMouth, indexOfForehead] = (box.landmarks.length >= LANDMARKS_COUNT) ? MESH_KEYPOINTS_LINE_OF_SYMMETRY_INDICES : BLAZEFACE_KEYPOINTS_LINE_OF_SYMMETRY_INDICES;\n angle = util.computeRotation(box.landmarks[indexOfMouth], box.landmarks[indexOfForehead]);\n const faceCenter = bounding.getBoxCenter({ startPoint: box.startPoint, endPoint: box.endPoint });\n const faceCenterNormalized = [faceCenter[0] / input.shape[2], faceCenter[1] / input.shape[1]];\n const rotatedImage = tf.image.rotateWithOffset(input, angle, 0, faceCenterNormalized);\n rotationMatrix = util.buildRotationMatrix(-angle, faceCenter);\n face = bounding.cutBoxFromImageAndResize({ startPoint: box.startPoint, endPoint: box.endPoint }, rotatedImage, [this.meshHeight, this.meshWidth]).div(255);\n } else {\n rotationMatrix = util.IDENTITY_MATRIX;\n const cloned = input.clone();\n face = bounding.cutBoxFromImageAndResize({ startPoint: box.startPoint, endPoint: box.endPoint }, cloned, [this.meshHeight, this.meshWidth]).div(255);\n }\n\n // if we're not going to produce mesh, don't spend time with further processing\n if (!config.face.mesh.enabled) {\n const prediction = {\n coords: null,\n box,\n faceConfidence: null,\n confidence: box.confidence,\n image: face,\n };\n return prediction;\n }\n\n const [, confidence, contourCoords] = this.meshDetector.predict(face); // The first returned tensor represents facial contours, which are included in the coordinates.\n const faceConfidence = confidence.dataSync()[0];\n if (faceConfidence < config.face.detector.minConfidence) return null; // if below confidence just exit\n const coordsReshaped = tf.reshape(contourCoords, [-1, 3]);\n let rawCoords = coordsReshaped.arraySync();\n\n if (config.face.iris.enabled) {\n const { box: leftEyeBox, boxSize: leftEyeBoxSize, crop: leftEyeCrop } = this.getEyeBox(rawCoords, face, LEFT_EYE_BOUNDS[0], LEFT_EYE_BOUNDS[1], true);\n const { box: rightEyeBox, boxSize: rightEyeBoxSize, crop: rightEyeCrop } = this.getEyeBox(rawCoords, face, RIGHT_EYE_BOUNDS[0], RIGHT_EYE_BOUNDS[1]);\n const eyePredictions = this.irisModel.predict(tf.concat([leftEyeCrop, rightEyeCrop]));\n const eyePredictionsData = eyePredictions.dataSync();\n const leftEyeData = eyePredictionsData.slice(0, IRIS_NUM_COORDINATES * 3);\n const { rawCoords: leftEyeRawCoords, iris: leftIrisRawCoords } = this.getEyeCoords(leftEyeData, leftEyeBox, leftEyeBoxSize, true);\n const rightEyeData = eyePredictionsData.slice(IRIS_NUM_COORDINATES * 3);\n const { rawCoords: rightEyeRawCoords, iris: rightIrisRawCoords } = this.getEyeCoords(rightEyeData, rightEyeBox, rightEyeBoxSize);\n const leftToRightEyeDepthDifference = this.getLeftToRightEyeDepthDifference(rawCoords);\n if (Math.abs(leftToRightEyeDepthDifference) < 30) { // User is looking straight ahead.\n replaceRawCoordinates(rawCoords, leftEyeRawCoords, 'left');\n replaceRawCoordinates(rawCoords, rightEyeRawCoords, 'right');\n // If the user is looking to the left or to the right, the iris coordinates tend to diverge too much from the mesh coordinates for them to be merged. So we only update a single contour line above and below the eye.\n } else if (leftToRightEyeDepthDifference < 1) { // User is looking towards the right.\n // @ts-ignore\n replaceRawCoordinates(rawCoords, leftEyeRawCoords, 'left', ['EyeUpper0', 'EyeLower0']);\n } else { // User is looking towards the left.\n // @ts-ignore\n replaceRawCoordinates(rawCoords, rightEyeRawCoords, 'right', ['EyeUpper0', 'EyeLower0']);\n }\n const adjustedLeftIrisCoords = this.getAdjustedIrisCoords(rawCoords, leftIrisRawCoords, 'left');\n const adjustedRightIrisCoords = this.getAdjustedIrisCoords(rawCoords, rightIrisRawCoords, 'right');\n rawCoords = rawCoords.concat(adjustedLeftIrisCoords).concat(adjustedRightIrisCoords);\n }\n\n const transformedCoordsData = this.transformRawCoords(rawCoords, box, angle, rotationMatrix);\n const landmarksBox = bounding.enlargeBox(this.calculateLandmarksBoundingBox(transformedCoordsData));\n const squarifiedLandmarksBox = bounding.squarifyBox(landmarksBox);\n const transformedCoords = tf.tensor2d(transformedCoordsData);\n const prediction = {\n coords: transformedCoords,\n box: landmarksBox,\n faceConfidence,\n confidence: box.confidence,\n image: face,\n rawCoords,\n };\n if (!config.face.mesh.returnRawData) delete prediction.rawCoords;\n this.storedBoxes[i] = { ...squarifiedLandmarksBox, landmarks: transformedCoords.arraySync(), confidence: box.confidence, faceConfidence };\n\n return prediction;\n }));\n results = results.filter((a) => a !== null);\n this.detectedFaces = results.length;\n return results;\n }\n\n calculateLandmarksBoundingBox(landmarks) {\n const xs = landmarks.map((d) => d[0]);\n const ys = landmarks.map((d) => d[1]);\n const startPoint = [Math.min(...xs), Math.min(...ys)];\n const endPoint = [Math.max(...xs), Math.max(...ys)];\n return { startPoint, endPoint, landmarks };\n }\n}\n", "import * as tf from '../../dist/tfjs.esm.js';\n\nexport function scaleBoxCoordinates(box, factor) {\n const startPoint = [box.startPoint[0] * factor[0], box.startPoint[1] * factor[1]];\n const endPoint = [box.endPoint[0] * factor[0], box.endPoint[1] * factor[1]];\n return { startPoint, endPoint };\n}\n\nexport function getBoxSize(box) {\n return [\n Math.abs(box.endPoint[0] - box.startPoint[0]),\n Math.abs(box.endPoint[1] - box.startPoint[1]),\n ];\n}\n\nexport function getBoxCenter(box) {\n return [\n box.startPoint[0] + (box.endPoint[0] - box.startPoint[0]) / 2,\n box.startPoint[1] + (box.endPoint[1] - box.startPoint[1]) / 2,\n ];\n}\n\nexport function cutBoxFromImageAndResize(box, image, cropSize) {\n const h = image.shape[1];\n const w = image.shape[2];\n const boxes = [[\n box.startPoint[1] / h, box.startPoint[0] / w, box.endPoint[1] / h,\n box.endPoint[0] / w,\n ]];\n return tf.image.cropAndResize(image, boxes, [0], cropSize);\n}\n\nexport function enlargeBox(box, factor = 1.5) {\n const center = getBoxCenter(box);\n const size = getBoxSize(box);\n const newHalfSize = [factor * size[0] / 2, factor * size[1] / 2];\n const startPoint = [center[0] - newHalfSize[0], center[1] - newHalfSize[1]];\n const endPoint = [center[0] + newHalfSize[0], center[1] + newHalfSize[1]];\n return { startPoint, endPoint, landmarks: box.landmarks };\n}\n\nexport function squarifyBox(box) {\n const centers = getBoxCenter(box);\n const size = getBoxSize(box);\n const maxEdge = Math.max(...size);\n const halfSize = maxEdge / 2;\n const startPoint = [centers[0] - halfSize, centers[1] - halfSize];\n const endPoint = [centers[0] + halfSize, centers[1] + halfSize];\n return { startPoint, endPoint, landmarks: box.landmarks };\n}\n", "export const IDENTITY_MATRIX = [[1, 0, 0], [0, 1, 0], [0, 0, 1]];\n/**\n * Normalizes the provided angle to the range -pi to pi.\n * @param angle The angle in radians to be normalized.\n */\nexport function normalizeRadians(angle) {\n return angle - 2 * Math.PI * Math.floor((angle + Math.PI) / (2 * Math.PI));\n}\n\n/**\n * Computes the angle of rotation between two anchor points.\n * @param point1 First anchor point\n * @param point2 Second anchor point\n */\nexport function computeRotation(point1, point2) {\n const radians = Math.PI / 2 - Math.atan2(-(point2[1] - point1[1]), point2[0] - point1[0]);\n return normalizeRadians(radians);\n}\n\nexport function radToDegrees(rad) {\n return rad * 180 / Math.PI;\n}\n\nexport function buildTranslationMatrix(x, y) {\n return [[1, 0, x], [0, 1, y], [0, 0, 1]];\n}\n\nexport function dot(v1, v2) {\n let product = 0;\n for (let i = 0; i < v1.length; i++) {\n product += v1[i] * v2[i];\n }\n return product;\n}\n\nexport function getColumnFrom2DArr(arr, columnIndex) {\n const column: Array = [];\n for (let i = 0; i < arr.length; i++) {\n column.push(arr[i][columnIndex]);\n }\n return column;\n}\n\nexport function multiplyTransformMatrices(mat1, mat2) {\n const product: Array = [];\n const size = mat1.length;\n for (let row = 0; row < size; row++) {\n product.push([]);\n for (let col = 0; col < size; col++) {\n product[row].push(dot(mat1[row], getColumnFrom2DArr(mat2, col)));\n }\n }\n return product;\n}\n\nexport function buildRotationMatrix(rotation, center) {\n const cosA = Math.cos(rotation);\n const sinA = Math.sin(rotation);\n const rotationMatrix = [[cosA, -sinA, 0], [sinA, cosA, 0], [0, 0, 1]];\n const translationMatrix = buildTranslationMatrix(center[0], center[1]);\n const translationTimesRotation = multiplyTransformMatrices(translationMatrix, rotationMatrix);\n const negativeTranslationMatrix = buildTranslationMatrix(-center[0], -center[1]);\n return multiplyTransformMatrices(translationTimesRotation, negativeTranslationMatrix);\n}\n\nexport function invertTransformMatrix(matrix) {\n const rotationComponent = [[matrix[0][0], matrix[1][0]], [matrix[0][1], matrix[1][1]]];\n const translationComponent = [matrix[0][2], matrix[1][2]];\n const invertedTranslation = [\n -dot(rotationComponent[0], translationComponent),\n -dot(rotationComponent[1], translationComponent),\n ];\n return [\n rotationComponent[0].concat(invertedTranslation[0]),\n rotationComponent[1].concat(invertedTranslation[1]),\n [0, 0, 1],\n ];\n}\n\nexport function rotatePoint(homogeneousCoordinate, rotationMatrix) {\n return [\n dot(homogeneousCoordinate, rotationMatrix[0]),\n dot(homogeneousCoordinate, rotationMatrix[1]),\n ];\n}\n\nexport function xyDistanceBetweenPoints(a, b) {\n return Math.sqrt(((a[0] - b[0]) ** 2) + ((a[1] - b[1]) ** 2));\n}\n", "export const MESH_ANNOTATIONS = {\n silhouette: [\n 10, 338, 297, 332, 284, 251, 389, 356, 454, 323, 361, 288,\n 397, 365, 379, 378, 400, 377, 152, 148, 176, 149, 150, 136,\n 172, 58, 132, 93, 234, 127, 162, 21, 54, 103, 67, 109,\n ],\n lipsUpperOuter: [61, 185, 40, 39, 37, 0, 267, 269, 270, 409, 291],\n lipsLowerOuter: [146, 91, 181, 84, 17, 314, 405, 321, 375, 291],\n lipsUpperInner: [78, 191, 80, 81, 82, 13, 312, 311, 310, 415, 308],\n lipsLowerInner: [78, 95, 88, 178, 87, 14, 317, 402, 318, 324, 308],\n rightEyeUpper0: [246, 161, 160, 159, 158, 157, 173],\n rightEyeLower0: [33, 7, 163, 144, 145, 153, 154, 155, 133],\n rightEyeUpper1: [247, 30, 29, 27, 28, 56, 190],\n rightEyeLower1: [130, 25, 110, 24, 23, 22, 26, 112, 243],\n rightEyeUpper2: [113, 225, 224, 223, 222, 221, 189],\n rightEyeLower2: [226, 31, 228, 229, 230, 231, 232, 233, 244],\n rightEyeLower3: [143, 111, 117, 118, 119, 120, 121, 128, 245],\n rightEyebrowUpper: [156, 70, 63, 105, 66, 107, 55, 193],\n rightEyebrowLower: [35, 124, 46, 53, 52, 65],\n rightEyeIris: [473, 474, 475, 476, 477],\n leftEyeUpper0: [466, 388, 387, 386, 385, 384, 398],\n leftEyeLower0: [263, 249, 390, 373, 374, 380, 381, 382, 362],\n leftEyeUpper1: [467, 260, 259, 257, 258, 286, 414],\n leftEyeLower1: [359, 255, 339, 254, 253, 252, 256, 341, 463],\n leftEyeUpper2: [342, 445, 444, 443, 442, 441, 413],\n leftEyeLower2: [446, 261, 448, 449, 450, 451, 452, 453, 464],\n leftEyeLower3: [372, 340, 346, 347, 348, 349, 350, 357, 465],\n leftEyebrowUpper: [383, 300, 293, 334, 296, 336, 285, 417],\n leftEyebrowLower: [265, 353, 276, 283, 282, 295],\n leftEyeIris: [468, 469, 470, 471, 472],\n midwayBetweenEyes: [168],\n noseTip: [1],\n noseBottom: [2],\n noseRightCorner: [98],\n noseLeftCorner: [327],\n rightCheek: [205],\n leftCheek: [425],\n};\n\nexport const MESH_TO_IRIS_INDICES_MAP = [ // A mapping from facemesh model keypoints to iris model keypoints.\n { key: 'EyeUpper0', indices: [9, 10, 11, 12, 13, 14, 15] },\n { key: 'EyeUpper1', indices: [25, 26, 27, 28, 29, 30, 31] },\n { key: 'EyeUpper2', indices: [41, 42, 43, 44, 45, 46, 47] },\n { key: 'EyeLower0', indices: [0, 1, 2, 3, 4, 5, 6, 7, 8] },\n { key: 'EyeLower1', indices: [16, 17, 18, 19, 20, 21, 22, 23, 24] },\n { key: 'EyeLower2', indices: [32, 33, 34, 35, 36, 37, 38, 39, 40] },\n { key: 'EyeLower3', indices: [54, 55, 56, 57, 58, 59, 60, 61, 62] },\n // { key: 'EyebrowUpper', indices: [63, 64, 65, 66, 67, 68, 69, 70] },\n // { key: 'EyebrowLower', indices: [48, 49, 50, 51, 52, 53] },\n];\n\nexport const UV468 = [\n [0.499976992607117, 0.652534008026123],\n [0.500025987625122, 0.547487020492554],\n [0.499974012374878, 0.602371990680695],\n [0.482113003730774, 0.471979022026062],\n [0.500150978565216, 0.527155995368958],\n [0.499909996986389, 0.498252987861633],\n [0.499523013830185, 0.40106201171875],\n [0.289712011814117, 0.380764007568359],\n [0.499954998493195, 0.312398016452789],\n [0.499987006187439, 0.269918978214264],\n [0.500023007392883, 0.107050001621246],\n [0.500023007392883, 0.666234016418457],\n [0.5000159740448, 0.679224014282227],\n [0.500023007392883, 0.692348003387451],\n [0.499976992607117, 0.695277988910675],\n [0.499976992607117, 0.70593398809433],\n [0.499976992607117, 0.719385027885437],\n [0.499976992607117, 0.737019002437592],\n [0.499967992305756, 0.781370997428894],\n [0.499816000461578, 0.562981009483337],\n [0.473773002624512, 0.573909997940063],\n [0.104906998574734, 0.254140973091125],\n [0.365929991006851, 0.409575998783112],\n [0.338757991790771, 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0.924192011356354],\n [0.88577002286911, 0.615028977394104],\n [0.551338016986847, 0.695277988910675],\n [0.551980018615723, 0.704632043838501],\n [0.552887976169586, 0.715808033943176],\n [0.555167973041534, 0.730794012546539],\n [0.569944024085999, 0.767035007476807],\n [0.593203008174896, 0.685675978660583],\n [0.599261999130249, 0.681069016456604],\n [0.607599973678589, 0.677703022956848],\n [0.631937980651855, 0.663500010967255],\n [0.752032995223999, 0.601315021514893],\n [0.547226011753082, 0.420395016670227],\n [0.563543975353241, 0.359827995300293],\n [0.583841025829315, 0.368713974952698],\n [0.586614012718201, 0.692366003990173],\n [0.771915018558502, 0.683578014373779],\n [0.531597018241882, 0.352482974529266],\n [0.588370978832245, 0.804440975189209],\n [0.52079701423645, 0.442565023899078],\n [0.567984998226166, 0.493479013442993],\n [0.543282985687256, 0.819254994392395],\n [0.655317008495331, 0.745514988899231],\n [0.621008992195129, 0.574018001556396],\n [0.625559985637665, 0.78031200170517],\n [0.680198013782501, 0.570719003677368],\n [0.64276397228241, 0.604337990283966],\n [0.704662978649139, 0.621529996395111],\n [0.552012026309967, 0.862591981887817],\n [0.589071989059448, 0.508637011051178],\n [0.685944974422455, 0.775357007980347],\n [0.645735025405884, 0.812640011310577],\n [0.675342977046967, 0.703978002071381],\n [0.810858011245728, 0.646304965019226],\n [0.72012197971344, 0.714666962623596],\n [0.866151988506317, 0.682704985141754],\n [0.663187026977539, 0.644596993923187],\n [0.570082008838654, 0.466325998306274],\n [0.544561982154846, 0.548375964164734],\n [0.562758982181549, 0.558784961700439],\n [0.531987011432648, 0.530140042304993],\n [0.585271000862122, 0.335177004337311],\n [0.622952997684479, 0.32277899980545],\n [0.655896008014679, 0.320163011550903],\n [0.687132000923157, 0.322345972061157],\n [0.716481983661652, 0.333200991153717],\n [0.758756995201111, 0.382786989212036],\n [0.897013008594513, 0.468769013881683],\n [0.732392013072968, 0.424547016620636],\n [0.70211398601532, 0.433162987232208],\n [0.66652500629425, 0.433866024017334],\n [0.633504986763, 0.426087975502014],\n [0.603875994682312, 0.416586995124817],\n [0.579657971858978, 0.409945011138916],\n [0.992439985275269, 0.480777025222778],\n [0.567192018032074, 0.569419980049133],\n [0.54136598110199, 0.478899002075195],\n [0.526564002037048, 0.546118021011353],\n [0.523913025856018, 0.563830018043518],\n [0.531529009342194, 0.555056989192963],\n [0.566035985946655, 0.582329034805298],\n [0.51631098985672, 0.563053965568542],\n [0.5174720287323, 0.577877044677734],\n [0.573594987392426, 0.389806985855103],\n [0.560697972774506, 0.395331978797913],\n [0.549755990505219, 0.399751007556915],\n [0.710287988185883, 0.368252992630005],\n [0.723330020904541, 0.363372981548309],\n];\n\nexport const TRI468 = [\n 127, 34, 139, 11, 0, 37, 232, 231, 120, 72, 37, 39, 128, 121, 47, 232, 121, 128, 104, 69, 67, 175, 171, 148, 157, 154, 155, 118, 50, 101, 73, 39, 40, 9,\n 151, 108, 48, 115, 131, 194, 204, 211, 74, 40, 185, 80, 42, 183, 40, 92, 186, 230, 229, 118, 202, 212, 214, 83, 18, 17, 76, 61, 146, 160, 29, 30, 56,\n 157, 173, 106, 204, 194, 135, 214, 192, 203, 165, 98, 21, 71, 68, 51, 45, 4, 144, 24, 23, 77, 146, 91, 205, 50, 187, 201, 200, 18, 91, 106, 182, 90, 91,\n 181, 85, 84, 17, 206, 203, 36, 148, 171, 140, 92, 40, 39, 193, 189, 244, 159, 158, 28, 247, 246, 161, 236, 3, 196, 54, 68, 104, 193, 168, 8, 117,\n 228, 31, 189, 193, 55, 98, 97, 99, 126, 47, 100, 166, 79, 218, 155, 154, 26, 209, 49, 131, 135, 136, 150, 47, 126, 217, 223, 52, 53, 45, 51, 134, 211,\n 170, 140, 67, 69, 108, 43, 106, 91, 230, 119, 120, 226, 130, 247, 63, 53, 52, 238, 20, 242, 46, 70, 156, 78, 62, 96, 46, 53, 63, 143, 34, 227, 173,\n 155, 133, 123, 117, 111, 44, 125, 19, 236, 134, 51, 216, 206, 205, 154, 153, 22, 39, 37, 167, 200, 201, 208, 36, 142, 100, 57, 212, 202, 20, 60, 99, 28,\n 158, 157, 35, 226, 113, 160, 159, 27, 204, 202, 210, 113, 225, 46, 43, 202, 204, 62, 76, 77, 137, 123, 116, 41, 38, 72, 203, 129, 142, 64, 98, 240, 49,\n 102, 64, 41, 73, 74, 212, 216, 207, 42, 74, 184, 169, 170, 211, 170, 149, 176, 105, 66, 69, 122, 6, 168, 123, 147, 187, 96, 77, 90, 65, 55, 107, 89,\n 90, 180, 101, 100, 120, 63, 105, 104, 93, 137, 227, 15, 86, 85, 129, 102, 49, 14, 87, 86, 55, 8, 9, 100, 47, 121, 145, 23, 22, 88, 89, 179, 6, 122,\n 196, 88, 95, 96, 138, 172, 136, 215, 58, 172, 115, 48, 219, 42, 80, 81, 195, 3, 51, 43, 146, 61, 171, 175, 199, 81, 82, 38, 53, 46, 225, 144, 163, 110,\n 246, 33, 7, 52, 65, 66, 229, 228, 117, 34, 127, 234, 107, 108, 69, 109, 108, 151, 48, 64, 235, 62, 78, 191, 129, 209, 126, 111, 35, 143, 163, 161, 246,\n 117, 123, 50, 222, 65, 52, 19, 125, 141, 221, 55, 65, 3, 195, 197, 25, 7, 33, 220, 237, 44, 70, 71, 139, 122, 193, 245, 247, 130, 33, 71, 21, 162,\n 153, 158, 159, 170, 169, 150, 188, 174, 196, 216, 186, 92, 144, 160, 161, 2, 97, 167, 141, 125, 241, 164, 167, 37, 72, 38, 12, 145, 159, 160, 38, 82, 13,\n 63, 68, 71, 226, 35, 111, 158, 153, 154, 101, 50, 205, 206, 92, 165, 209, 198, 217, 165, 167, 97, 220, 115, 218, 133, 112, 243, 239, 238, 241, 214,\n 135, 169, 190, 173, 133, 171, 208, 32, 125, 44, 237, 86, 87, 178, 85, 86, 179, 84, 85, 180, 83, 84, 181, 201, 83, 182, 137, 93, 132, 76, 62, 183, 61,\n 76, 184, 57, 61, 185, 212, 57, 186, 214, 207, 187, 34, 143, 156, 79, 239, 237, 123, 137, 177, 44, 1, 4, 201, 194, 32, 64, 102, 129, 213, 215, 138, 59,\n 166, 219, 242, 99, 97, 2, 94, 141, 75, 59, 235, 24, 110, 228, 25, 130, 226, 23, 24, 229, 22, 23, 230, 26, 22, 231, 112, 26, 232, 189, 190, 243, 221, 56,\n 190, 28, 56, 221, 27, 28, 222, 29, 27, 223, 30, 29, 224, 247, 30, 225, 238, 79, 20, 166, 59, 75, 60, 75, 240, 147, 177, 215, 20, 79, 166, 187, 147, 213,\n 112, 233, 244, 233, 128, 245, 128, 114, 188, 114, 217, 174, 131, 115, 220, 217, 198, 236, 198, 131, 134, 177, 132, 58, 143, 35, 124, 110, 163, 7, 228,\n 110, 25, 356, 389, 368, 11, 302, 267, 452, 350, 349, 302, 303, 269, 357, 343, 277, 452, 453, 357, 333, 332, 297, 175, 152, 377, 384, 398, 382, 347,\n 348, 330, 303, 304, 270, 9, 336, 337, 278, 279, 360, 418, 262, 431, 304, 408, 409, 310, 415, 407, 270, 409, 410, 450, 348, 347, 422, 430, 434, 313,\n 314, 17, 306, 307, 375, 387, 388, 260, 286, 414, 398, 335, 406, 418, 364, 367, 416, 423, 358, 327, 251, 284, 298, 281, 5, 4, 373, 374, 253, 307, 320,\n 321, 425, 427, 411, 421, 313, 18, 321, 405, 406, 320, 404, 405, 315, 16, 17, 426, 425, 266, 377, 400, 369, 322, 391, 269, 417, 465, 464, 386, 257, 258,\n 466, 260, 388, 456, 399, 419, 284, 332, 333, 417, 285, 8, 346, 340, 261, 413, 441, 285, 327, 460, 328, 355, 371, 329, 392, 439, 438, 382, 341, 256,\n 429, 420, 360, 364, 394, 379, 277, 343, 437, 443, 444, 283, 275, 440, 363, 431, 262, 369, 297, 338, 337, 273, 375, 321, 450, 451, 349, 446, 342, 467,\n 293, 334, 282, 458, 461, 462, 276, 353, 383, 308, 324, 325, 276, 300, 293, 372, 345, 447, 382, 398, 362, 352, 345, 340, 274, 1, 19, 456, 248, 281, 436,\n 427, 425, 381, 256, 252, 269, 391, 393, 200, 199, 428, 266, 330, 329, 287, 273, 422, 250, 462, 328, 258, 286, 384, 265, 353, 342, 387, 259, 257, 424,\n 431, 430, 342, 353, 276, 273, 335, 424, 292, 325, 307, 366, 447, 345, 271, 303, 302, 423, 266, 371, 294, 455, 460, 279, 278, 294, 271, 272, 304, 432,\n 434, 427, 272, 407, 408, 394, 430, 431, 395, 369, 400, 334, 333, 299, 351, 417, 168, 352, 280, 411, 325, 319, 320, 295, 296, 336, 319, 403, 404, 330,\n 348, 349, 293, 298, 333, 323, 454, 447, 15, 16, 315, 358, 429, 279, 14, 15, 316, 285, 336, 9, 329, 349, 350, 374, 380, 252, 318, 402, 403, 6, 197, 419,\n 318, 319, 325, 367, 364, 365, 435, 367, 397, 344, 438, 439, 272, 271, 311, 195, 5, 281, 273, 287, 291, 396, 428, 199, 311, 271, 268, 283, 444, 445,\n 373, 254, 339, 263, 466, 249, 282, 334, 296, 449, 347, 346, 264, 447, 454, 336, 296, 299, 338, 10, 151, 278, 439, 455, 292, 407, 415, 358, 371, 355,\n 340, 345, 372, 390, 249, 466, 346, 347, 280, 442, 443, 282, 19, 94, 370, 441, 442, 295, 248, 419, 197, 263, 255, 359, 440, 275, 274, 300, 383, 368,\n 351, 412, 465, 263, 467, 466, 301, 368, 389, 380, 374, 386, 395, 378, 379, 412, 351, 419, 436, 426, 322, 373, 390, 388, 2, 164, 393, 370, 462, 461,\n 164, 0, 267, 302, 11, 12, 374, 373, 387, 268, 12, 13, 293, 300, 301, 446, 261, 340, 385, 384, 381, 330, 266, 425, 426, 423, 391, 429, 355, 437, 391,\n 327, 326, 440, 457, 438, 341, 382, 362, 459, 457, 461, 434, 430, 394, 414, 463, 362, 396, 369, 262, 354, 461, 457, 316, 403, 402, 315, 404, 403, 314,\n 405, 404, 313, 406, 405, 421, 418, 406, 366, 401, 361, 306, 408, 407, 291, 409, 408, 287, 410, 409, 432, 436, 410, 434, 416, 411, 264, 368, 383, 309,\n 438, 457, 352, 376, 401, 274, 275, 4, 421, 428, 262, 294, 327, 358, 433, 416, 367, 289, 455, 439, 462, 370, 326, 2, 326, 370, 305, 460, 455, 254,\n 449, 448, 255, 261, 446, 253, 450, 449, 252, 451, 450, 256, 452, 451, 341, 453, 452, 413, 464, 463, 441, 413, 414, 258, 442, 441, 257, 443, 442, 259,\n 444, 443, 260, 445, 444, 467, 342, 445, 459, 458, 250, 289, 392, 290, 290, 328, 460, 376, 433, 435, 250, 290, 392, 411, 416, 433, 341, 463, 464, 453,\n 464, 465, 357, 465, 412, 343, 412, 399, 360, 363, 440, 437, 399, 456, 420, 456, 363, 401, 435, 288, 372, 383, 353, 339, 255, 249, 448, 261, 255, 133,\n 243, 190, 133, 155, 112, 33, 246, 247, 33, 130, 25, 398, 384, 286, 362, 398, 414, 362, 463, 341, 263, 359, 467, 263, 249, 255, 466, 467, 260, 75, 60,\n 166, 238, 239, 79, 162, 127, 139, 72, 11, 37, 121, 232, 120, 73, 72, 39, 114, 128, 47, 233, 232, 128, 103, 104, 67, 152, 175, 148, 173, 157, 155,\n 119, 118, 101, 74, 73, 40, 107, 9, 108, 49, 48, 131, 32, 194, 211, 184, 74, 185, 191, 80, 183, 185, 40, 186, 119, 230, 118, 210, 202, 214, 84, 83, 17,\n 77, 76, 146, 161, 160, 30, 190, 56, 173, 182, 106, 194, 138, 135, 192, 129, 203, 98, 54, 21, 68, 5, 51, 4, 145, 144, 23, 90, 77, 91, 207, 205, 187, 83,\n 201, 18, 181, 91, 182, 180, 90, 181, 16, 85, 17, 205, 206, 36, 176, 148, 140, 165, 92, 39, 245, 193, 244, 27, 159, 28, 30, 247, 161, 174, 236, 196,\n 103, 54, 104, 55, 193, 8, 111, 117, 31, 221, 189, 55, 240, 98, 99, 142, 126, 100, 219, 166, 218, 112, 155, 26, 198, 209, 131, 169, 135, 150, 114, 47,\n 217, 224, 223, 53, 220, 45, 134, 32, 211, 140, 109, 67, 108, 146, 43, 91, 231, 230, 120, 113, 226, 247, 105, 63, 52, 241, 238, 242, 124, 46, 156, 95,\n 78, 96, 70, 46, 63, 116, 143, 227, 116, 123, 111, 1, 44, 19, 3, 236, 51, 207, 216, 205, 26, 154, 22, 165, 39, 167, 199, 200, 208, 101, 36, 100, 43,\n 57, 202, 242, 20, 99, 56, 28, 157, 124, 35, 113, 29, 160, 27, 211, 204, 210, 124, 113, 46, 106, 43, 204, 96, 62, 77, 227, 137, 116, 73, 41, 72, 36, 203,\n 142, 235, 64, 240, 48, 49, 64, 42, 41, 74, 214, 212, 207, 183, 42, 184, 210, 169, 211, 140, 170, 176, 104, 105, 69, 193, 122, 168, 50, 123, 187, 89, 96,\n 90, 66, 65, 107, 179, 89, 180, 119, 101, 120, 68, 63, 104, 234, 93, 227, 16, 15, 85, 209, 129, 49, 15, 14, 86, 107, 55, 9, 120, 100, 121, 153, 145, 22,\n 178, 88, 179, 197, 6, 196, 89, 88, 96, 135, 138, 136, 138, 215, 172, 218, 115, 219, 41, 42, 81, 5, 195, 51, 57, 43, 61, 208, 171, 199, 41, 81, 38,\n 224, 53, 225, 24, 144, 110, 105, 52, 66, 118, 229, 117, 227, 34, 234, 66, 107, 69, 10, 109, 151, 219, 48, 235, 183, 62, 191, 142, 129, 126, 116, 111,\n 143, 7, 163, 246, 118, 117, 50, 223, 222, 52, 94, 19, 141, 222, 221, 65, 196, 3, 197, 45, 220, 44, 156, 70, 139, 188, 122, 245, 139, 71, 162, 145,\n 153, 159, 149, 170, 150, 122, 188, 196, 206, 216, 92, 163, 144, 161, 164, 2, 167, 242, 141, 241, 0, 164, 37, 11, 72, 12, 144, 145, 160, 12, 38, 13, 70,\n 63, 71, 31, 226, 111, 157, 158, 154, 36, 101, 205, 203, 206, 165, 126, 209, 217, 98, 165, 97, 237, 220, 218, 237, 239, 241, 210, 214, 169, 140, 171, 32,\n 241, 125, 237, 179, 86, 178, 180, 85, 179, 181, 84, 180, 182, 83, 181, 194, 201, 182, 177, 137, 132, 184, 76, 183, 185, 61, 184, 186, 57, 185, 216, 212,\n 186, 192, 214, 187, 139, 34, 156, 218, 79, 237, 147, 123, 177, 45, 44, 4, 208, 201, 32, 98, 64, 129, 192, 213, 138, 235, 59, 219, 141, 242, 97, 97, 2,\n 141, 240, 75, 235, 229, 24, 228, 31, 25, 226, 230, 23, 229, 231, 22, 230, 232, 26, 231, 233, 112, 232, 244, 189, 243, 189, 221, 190, 222, 28, 221,\n 223, 27, 222, 224, 29, 223, 225, 30, 224, 113, 247, 225, 99, 60, 240, 213, 147, 215, 60, 20, 166, 192, 187, 213, 243, 112, 244, 244, 233, 245, 245,\n 128, 188, 188, 114, 174, 134, 131, 220, 174, 217, 236, 236, 198, 134, 215, 177, 58, 156, 143, 124, 25, 110, 7, 31, 228, 25, 264, 356, 368, 0, 11, 267,\n 451, 452, 349, 267, 302, 269, 350, 357, 277, 350, 452, 357, 299, 333, 297, 396, 175, 377, 381, 384, 382, 280, 347, 330, 269, 303, 270, 151, 9, 337,\n 344, 278, 360, 424, 418, 431, 270, 304, 409, 272, 310, 407, 322, 270, 410, 449, 450, 347, 432, 422, 434, 18, 313, 17, 291, 306, 375, 259, 387, 260,\n 424, 335, 418, 434, 364, 416, 391, 423, 327, 301, 251, 298, 275, 281, 4, 254, 373, 253, 375, 307, 321, 280, 425, 411, 200, 421, 18, 335, 321, 406,\n 321, 320, 405, 314, 315, 17, 423, 426, 266, 396, 377, 369, 270, 322, 269, 413, 417, 464, 385, 386, 258, 248, 456, 419, 298, 284, 333, 168, 417, 8,\n 448, 346, 261, 417, 413, 285, 326, 327, 328, 277, 355, 329, 309, 392, 438, 381, 382, 256, 279, 429, 360, 365, 364, 379, 355, 277, 437, 282, 443, 283,\n 281, 275, 363, 395, 431, 369, 299, 297, 337, 335, 273, 321, 348, 450, 349, 359, 446, 467, 283, 293, 282, 250, 458, 462, 300, 276, 383, 292, 308, 325,\n 283, 276, 293, 264, 372, 447, 346, 352, 340, 354, 274, 19, 363, 456, 281, 426, 436, 425, 380, 381, 252, 267, 269, 393, 421, 200, 428, 371, 266, 329,\n 432, 287, 422, 290, 250, 328, 385, 258, 384, 446, 265, 342, 386, 387, 257, 422, 424, 430, 445, 342, 276, 422, 273, 424, 306, 292, 307, 352, 366, 345,\n 268, 271, 302, 358, 423, 371, 327, 294, 460, 331, 279, 294, 303, 271, 304, 436, 432, 427, 304, 272, 408, 395, 394, 431, 378, 395, 400, 296, 334, 299,\n 6, 351, 168, 376, 352, 411, 307, 325, 320, 285, 295, 336, 320, 319, 404, 329, 330, 349, 334, 293, 333, 366, 323, 447, 316, 15, 315, 331, 358, 279,\n 317, 14, 316, 8, 285, 9, 277, 329, 350, 253, 374, 252, 319, 318, 403, 351, 6, 419, 324, 318, 325, 397, 367, 365, 288, 435, 397, 278, 344, 439, 310,\n 272, 311, 248, 195, 281, 375, 273, 291, 175, 396, 199, 312, 311, 268, 276, 283, 445, 390, 373, 339, 295, 282, 296, 448, 449, 346, 356, 264, 454, 337,\n 336, 299, 337, 338, 151, 294, 278, 455, 308, 292, 415, 429, 358, 355, 265, 340, 372, 388, 390, 466, 352, 346, 280, 295, 442, 282, 354, 19, 370, 285,\n 441, 295, 195, 248, 197, 457, 440, 274, 301, 300, 368, 417, 351, 465, 251, 301, 389, 385, 380, 386, 394, 395, 379, 399, 412, 419, 410, 436, 322, 387,\n 373, 388, 326, 2, 393, 354, 370, 461, 393, 164, 267, 268, 302, 12, 386, 374, 387, 312, 268, 13, 298, 293, 301, 265, 446, 340, 380, 385, 381, 280, 330,\n 425, 322, 426, 391, 420, 429, 437, 393, 391, 326, 344, 440, 438, 458, 459, 461, 364, 434, 394, 428, 396, 262, 274, 354, 457, 317, 316, 402, 316, 315,\n 403, 315, 314, 404, 314, 313, 405, 313, 421, 406, 323, 366, 361, 292, 306, 407, 306, 291, 408, 291, 287, 409, 287, 432, 410, 427, 434, 411, 372, 264,\n 383, 459, 309, 457, 366, 352, 401, 1, 274, 4, 418, 421, 262, 331, 294, 358, 435, 433, 367, 392, 289, 439, 328, 462, 326, 94, 2, 370, 289, 305, 455, 339,\n 254, 448, 359, 255, 446, 254, 253, 449, 253, 252, 450, 252, 256, 451, 256, 341, 452, 414, 413, 463, 286, 441, 414, 286, 258, 441, 258, 257, 442, 257,\n 259, 443, 259, 260, 444, 260, 467, 445, 309, 459, 250, 305, 289, 290, 305, 290, 460, 401, 376, 435, 309, 250, 392, 376, 411, 433, 453, 341, 464, 357,\n 453, 465, 343, 357, 412, 437, 343, 399, 344, 360, 440, 420, 437, 456, 360, 420, 363, 361, 401, 288, 265, 372, 353, 390, 339, 249, 339, 448, 255];\n\nexport const TRI68 = [0, 1, 36, 0, 36, 17, 1, 2, 41, 1, 41, 36, 2, 3, 31, 2, 31, 41, 3, 4, 48, 3, 48, 31, 4, 5, 48, 5, 6, 48, 6, 7, 59, 6, 59, 48, 7, 8, 58, 7, 58, 59,\n 8, 9, 56, 8, 56, 57, 8, 57, 58, 9, 10, 55, 9, 55, 56, 10, 11, 54, 10, 54, 55, 11, 12, 54, 12, 13, 54, 13, 14, 35, 13, 35, 54, 14, 15, 46, 14, 46, 35, 15, 16,\n 45, 15, 45, 46, 16, 26, 45, 17, 36, 18, 18, 37, 19, 18, 36, 37, 19, 38, 20, 19, 37, 38, 20, 39, 21, 20, 38, 39, 21, 39, 27, 22, 42, 23, 22, 27, 42, 23, 43, 24,\n 23, 42, 43, 24, 44, 25, 24, 43, 44, 25, 45, 26, 25, 44, 45, 27, 39, 28, 27, 28, 42, 28, 39, 29, 28, 29, 42, 29, 31, 30, 29, 30, 35, 29, 40, 31, 29, 35, 47, 29,\n 39, 40, 29, 47, 42, 30, 31, 32, 30, 32, 33, 30, 33, 34, 30, 34, 35, 31, 50, 32, 31, 40, 41, 31, 48, 49, 31, 49, 50, 32, 51, 33, 32, 50, 51, 33, 51, 34, 34, 52,\n 35, 34, 51, 52, 35, 46, 47, 35, 52, 53, 35, 53, 54, 36, 41, 37, 37, 40, 38, 37, 41, 40, 38, 40, 39, 42, 47, 43, 43, 47, 44, 44, 46, 45, 44, 47, 46, 48, 60, 49,\n 48, 59, 60, 49, 61, 50, 49, 60, 61, 50, 62, 51, 50, 61, 62, 51, 62, 52, 52, 63, 53, 52, 62, 63, 53, 64, 54, 53, 63, 64, 54, 64, 55, 55, 65, 56, 55, 64, 65, 56,\n 66, 57, 56, 65, 66, 57, 66, 58, 58, 67, 59, 58, 66, 67, 59, 67, 60, 60, 67, 61, 61, 66, 62, 61, 67, 66, 62, 66, 63, 63, 65, 64, 63, 66, 65, 21, 27, 22];\n\nexport const TRI33 = [\n /* eyes */ 0, 8, 7, 7, 8, 1, 2, 10, 9, 9, 10, 3,\n /* brows */ 17, 0, 18, 18, 0, 7, 18, 7, 19, 19, 7, 1, 19, 1, 11, 19, 11, 20, 21, 3, 22, 21, 9, 3, 20, 9, 21, 20, 2, 9, 20, 11, 2,\n /* 4head */ 23, 17, 18, 25, 21, 22, 24, 19, 20, 24, 18, 19, 24, 20, 21, 24, 23, 18, 24, 21, 25,\n /* nose */ 11, 12, 4, 11, 4, 13, 1, 12, 11, 11, 13, 2, 12, 14, 4, 4, 14, 13,\n /* up-lip */ 14, 5, 15, 14, 15, 6, 12, 5, 14, 14, 6, 13,\n /* cheeks */ 8, 12, 1, 2, 13, 10, 8, 26, 12, 10, 13, 27, 26, 5, 12, 13, 6, 27, 0, 26, 8, 10, 27, 3,\n /* chin */ 5, 32, 16, 16, 32, 6, 5, 30, 32, 6, 32, 31,\n /* cont */ 26, 30, 5, 27, 6, 31, 0, 28, 26, 3, 27, 29, 17, 28, 0, 3, 29, 22, 23, 28, 17, 22, 29, 25, 28, 30, 26, 27, 31, 29,\n];\n\nexport const TRI7 = [0, 4, 1, 2, 4, 3, 4, 5, 6];\n\nexport const VTX68 = [\n /* cont */ 127, 234, 132, 58, 172, 150, 149, 148, 152, 377, 378, 379, 397, 288, 361, 454, 356,\n /* brows */ 70, 63, 105, 66, 107, 336, 296, 334, 293, 300,\n /* nose */ 168, 6, 195, 4, 98, 97, 2, 326, 327,\n /* eyes */ 33, 160, 158, 133, 153, 144, 362, 385, 387, 263, 373, 380,\n /* lip */ 57, 40, 37, 0, 267, 270, 287, 321, 314, 17, 84, 91,\n /* mouth */ 78, 81, 13, 311, 308, 402, 14, 178,\n];\n\nexport const VTX33 = [33, 133, 362, 263, 1, 62, 308, 159, 145, 386, 374, 6, 102, 331, 2, 13, 14, 70, 105, 107, 336, 334, 300, 54, 10, 284, 50, 280, 234, 454, 58, 288, 152];\n\nexport const VTX7 = [33, 133, 362, 263, 1, 78, 308];\n\nexport const UV68 = VTX68.map((x) => UV468[x]);\n\nexport const UV33 = VTX33.map((x) => UV468[x]);\n\nexport const UV7 = VTX7.map((x) => UV468[x]);\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as profile from '../profile';\n\nexport class FaceBoxes {\n enlarge: number;\n model: any;\n config: any;\n\n constructor(model, config) {\n this.enlarge = 1.1;\n this.model = model;\n this.config = config;\n }\n\n async estimateFaces(input, config) {\n if (config) this.config = config;\n const results: Array<{ confidence: number, box: any, boxRaw: any, image: any }> = [];\n const resizeT = tf.image.resizeBilinear(input, [this.config.face.detector.inputSize, this.config.face.detector.inputSize]);\n const castT = resizeT.toInt();\n let scores;\n let boxes;\n if (!config.profile) {\n const [scoresT, boxesT, numT] = await this.model.executeAsync(castT);\n scores = scoresT.dataSync();\n const squeezeT = boxesT.squeeze();\n boxes = squeezeT.arraySync();\n scoresT.dispose();\n boxesT.dispose();\n squeezeT.dispose();\n numT.dispose();\n } else {\n const profileData = await tf.profile(() => this.model.executeAsync(castT));\n scores = profileData.result[0].dataSync();\n const squeezeT = profileData.result[1].squeeze();\n boxes = squeezeT.arraySync();\n profileData.result.forEach((t) => t.dispose());\n profile.run('faceboxes', profileData);\n }\n castT.dispose();\n resizeT.dispose();\n for (const i in boxes) {\n if (scores[i] && scores[i] > this.config.face.detector.minConfidence) {\n const crop = [boxes[i][0] / this.enlarge, boxes[i][1] / this.enlarge, boxes[i][2] * this.enlarge, boxes[i][3] * this.enlarge];\n const boxRaw = [crop[1], crop[0], (crop[3]) - (crop[1]), (crop[2]) - (crop[0])];\n const box = [\n parseInt((boxRaw[0] * input.shape[2]).toString()),\n parseInt((boxRaw[1] * input.shape[1]).toString()),\n parseInt((boxRaw[2] * input.shape[2]).toString()),\n parseInt((boxRaw[3] * input.shape[1]).toString())];\n const resized = tf.image.cropAndResize(input, [crop], [0], [this.config.face.detector.inputSize, this.config.face.detector.inputSize]);\n const image = resized.div([255]);\n resized.dispose();\n results.push({ confidence: scores[i], box, boxRaw: this.config.face.mesh.returnRawData ? boxRaw : null, image });\n // add mesh, meshRaw, annotations,\n }\n }\n return results;\n }\n}\n\nexport async function load(config) {\n const model = await tf.loadGraphModel(config.face.detector.modelPath);\n log(`load model: ${config.face.detector.modelPath.match(/\\/(.*)\\./)[1]}`);\n const faceboxes = new FaceBoxes(model, config);\n if (config.face.mesh.enabled) log(`load model: ${config.face.mesh.modelPath.match(/\\/(.*)\\./)[1]}`);\n if (config.face.iris.enabled) log(`load model: ${config.face.iris.modelPath.match(/\\/(.*)\\./)[1]}`);\n return faceboxes;\n}\n", "import { log } from './log';\n\nexport const data = {};\n\nexport function run(name: string, raw: any) {\n if (!raw || !raw.kernels) return;\n const maxResults = 5;\n const time = raw.kernels\n .filter((a) => a.kernelTimeMs > 0)\n .reduce((a, b) => a += b.kernelTimeMs, 0);\n const slowest = raw.kernels\n .map((a, i) => { a.id = i; return a; })\n .filter((a) => a.kernelTimeMs > 0)\n .sort((a, b) => b.kernelTimeMs - a.kernelTimeMs);\n const largest = raw.kernels\n .map((a, i) => { a.id = i; return a; })\n .filter((a) => a.totalBytesSnapshot > 0)\n .sort((a, b) => b.totalBytesSnapshot - a.totalBytesSnapshot);\n if (slowest.length > maxResults) slowest.length = maxResults;\n if (largest.length > maxResults) largest.length = maxResults;\n const res = { newBytes: raw.newBytes, newTensors: raw.newTensors, peakBytes: raw.peakBytes, numKernelOps: raw.kernels.length, timeKernelOps: time, slowestKernelOps: slowest, largestKernelOps: largest };\n data[name] = res;\n log('Human profiler', name, res);\n}\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as profile from '../profile';\n\nlet model;\nlet last = { age: 0 };\nlet skipped = Number.MAX_SAFE_INTEGER;\n\nexport async function load(config) {\n if (!model) {\n model = await tf.loadGraphModel(config.face.age.modelPath);\n log(`load model: ${config.face.age.modelPath.match(/\\/(.*)\\./)[1]}`);\n }\n return model;\n}\n\nexport async function predict(image, config) {\n if (!model) return null;\n if ((skipped < config.face.age.skipFrames) && config.videoOptimized && last.age && (last.age > 0)) {\n skipped++;\n return last;\n }\n if (config.videoOptimized) skipped = 0;\n else skipped = Number.MAX_SAFE_INTEGER;\n return new Promise(async (resolve) => {\n /*\n const zoom = [0, 0]; // 0..1 meaning 0%..100%\n const box = [[\n (image.shape[1] * zoom[0]) / image.shape[1],\n (image.shape[2] * zoom[1]) / image.shape[2],\n (image.shape[1] - (image.shape[1] * zoom[0])) / image.shape[1],\n (image.shape[2] - (image.shape[2] * zoom[1])) / image.shape[2],\n ]];\n const resize = tf.image.cropAndResize(image, box, [0], [config.face.age.inputSize, config.face.age.inputSize]);\n */\n const resize = tf.image.resizeBilinear(image, [config.face.age.inputSize, config.face.age.inputSize], false);\n const enhance = tf.mul(resize, [255.0]);\n tf.dispose(resize);\n\n let ageT;\n const obj = { age: 0 };\n\n if (!config.profile) {\n if (config.face.age.enabled) ageT = await model.predict(enhance);\n } else {\n const profileAge = config.face.age.enabled ? await tf.profile(() => model.predict(enhance)) : {};\n ageT = profileAge.result.clone();\n profileAge.result.dispose();\n profile.run('age', profileAge);\n }\n enhance.dispose();\n\n if (ageT) {\n const data = ageT.dataSync();\n obj.age = Math.trunc(10 * data[0]) / 10;\n }\n ageT.dispose();\n\n last = obj;\n resolve(obj);\n });\n}\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as profile from '../profile';\n\nlet model;\nlet last = { gender: '' };\nlet skipped = Number.MAX_SAFE_INTEGER;\nlet alternative = false;\n\n// tuning values\nconst rgb = [0.2989, 0.5870, 0.1140]; // factors for red/green/blue colors when converting to grayscale\n\nexport async function load(config) {\n if (!model) {\n model = await tf.loadGraphModel(config.face.gender.modelPath);\n alternative = model.inputs[0].shape[3] === 1;\n log(`load model: ${config.face.gender.modelPath.match(/\\/(.*)\\./)[1]}`);\n }\n return model;\n}\n\nexport async function predict(image, config) {\n if (!model) return null;\n if ((skipped < config.face.gender.skipFrames) && config.videoOptimized && last.gender !== '') {\n skipped++;\n return last;\n }\n if (config.videoOptimized) skipped = 0;\n else skipped = Number.MAX_SAFE_INTEGER;\n return new Promise(async (resolve) => {\n const resize = tf.image.resizeBilinear(image, [config.face.gender.inputSize, config.face.gender.inputSize], false);\n let enhance;\n if (alternative) {\n enhance = tf.tidy(() => {\n const [red, green, blue] = tf.split(resize, 3, 3);\n const redNorm = tf.mul(red, rgb[0]);\n const greenNorm = tf.mul(green, rgb[1]);\n const blueNorm = tf.mul(blue, rgb[2]);\n const grayscale = tf.addN([redNorm, greenNorm, blueNorm]);\n return grayscale.sub(0.5).mul(2);\n });\n } else {\n enhance = tf.mul(resize, [255.0]);\n }\n tf.dispose(resize);\n\n let genderT;\n const obj = { gender: '', confidence: 0 };\n\n if (!config.profile) {\n if (config.face.gender.enabled) genderT = await model.predict(enhance);\n } else {\n const profileGender = config.face.gender.enabled ? await tf.profile(() => model.predict(enhance)) : {};\n genderT = profileGender.result.clone();\n profileGender.result.dispose();\n profile.run('gender', profileGender);\n }\n enhance.dispose();\n\n if (genderT) {\n const data = genderT.dataSync();\n if (alternative) {\n // returns two values 0..1, bigger one is prediction\n const confidence = Math.trunc(100 * Math.abs(data[0] - data[1])) / 100;\n if (confidence > config.face.gender.minConfidence) {\n obj.gender = data[0] > data[1] ? 'female' : 'male';\n obj.confidence = confidence;\n }\n } else {\n // returns one value 0..1, .5 is prediction threshold\n const confidence = Math.trunc(200 * Math.abs((data[0] - 0.5))) / 100;\n if (confidence > config.face.gender.minConfidence) {\n obj.gender = data[0] <= 0.5 ? 'female' : 'male';\n obj.confidence = Math.min(0.99, confidence);\n }\n }\n }\n genderT.dispose();\n\n last = obj;\n resolve(obj);\n });\n}\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as profile from '../profile';\n\nconst annotations = ['angry', 'disgust', 'fear', 'happy', 'sad', 'surprise', 'neutral'];\nlet model;\nlet last: Array<{ score: number, emotion: string }> = [];\nlet skipped = Number.MAX_SAFE_INTEGER;\n\n// tuning values\nconst rgb = [0.2989, 0.5870, 0.1140]; // factors for red/green/blue colors when converting to grayscale\nconst scale = 1; // score multiplication factor\n\nexport async function load(config) {\n if (!model) {\n model = await tf.loadGraphModel(config.face.emotion.modelPath);\n log(`load model: ${config.face.emotion.modelPath.match(/\\/(.*)\\./)[1]}`);\n }\n return model;\n}\n\nexport async function predict(image, config) {\n if (!model) return null;\n if ((skipped < config.face.emotion.skipFrames) && config.videoOptimized && (last.length > 0)) {\n skipped++;\n return last;\n }\n if (config.videoOptimized) skipped = 0;\n else skipped = Number.MAX_SAFE_INTEGER;\n return new Promise(async (resolve) => {\n /*\n const zoom = [0, 0]; // 0..1 meaning 0%..100%\n const box = [[\n (image.shape[1] * zoom[0]) / image.shape[1],\n (image.shape[2] * zoom[1]) / image.shape[2],\n (image.shape[1] - (image.shape[1] * zoom[0])) / image.shape[1],\n (image.shape[2] - (image.shape[2] * zoom[1])) / image.shape[2],\n ]];\n const resize = tf.image.cropAndResize(image, box, [0], [config.face.emotion.inputSize, config.face.emotion.inputSize]);\n */\n const resize = tf.image.resizeBilinear(image, [config.face.emotion.inputSize, config.face.emotion.inputSize], false);\n const [red, green, blue] = tf.split(resize, 3, 3);\n resize.dispose();\n // weighted rgb to grayscale: https://www.mathworks.com/help/matlab/ref/rgb2gray.html\n const redNorm = tf.mul(red, rgb[0]);\n const greenNorm = tf.mul(green, rgb[1]);\n const blueNorm = tf.mul(blue, rgb[2]);\n red.dispose();\n green.dispose();\n blue.dispose();\n const grayscale = tf.addN([redNorm, greenNorm, blueNorm]);\n redNorm.dispose();\n greenNorm.dispose();\n blueNorm.dispose();\n const normalize = tf.tidy(() => grayscale.sub(0.5).mul(2));\n grayscale.dispose();\n const obj: Array<{ score: number, emotion: string }> = [];\n if (config.face.emotion.enabled) {\n let data;\n if (!config.profile) {\n const emotionT = await model.predict(normalize);\n data = emotionT.dataSync();\n tf.dispose(emotionT);\n } else {\n const profileData = await tf.profile(() => model.predict(normalize));\n data = profileData.result.dataSync();\n profileData.result.dispose();\n profile.run('emotion', profileData);\n }\n for (let i = 0; i < data.length; i++) {\n if (scale * data[i] > config.face.emotion.minConfidence) obj.push({ score: Math.min(0.99, Math.trunc(100 * scale * data[i]) / 100), emotion: annotations[i] });\n }\n obj.sort((a, b) => b.score - a.score);\n }\n normalize.dispose();\n last = obj;\n resolve(obj);\n });\n}\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as profile from '../profile';\n\n// based on https://github.com/sirius-ai/MobileFaceNet_TF\n// model converted from https://github.com/sirius-ai/MobileFaceNet_TF/files/3551493/FaceMobileNet192_train_false.zip\n\nlet model;\n\nexport async function load(config) {\n if (!model) {\n model = await tf.loadGraphModel(config.face.embedding.modelPath);\n log(`load model: ${config.face.embedding.modelPath.match(/\\/(.*)\\./)[1]}`);\n }\n return model;\n}\n\nexport function simmilarity(embedding1, embedding2) {\n if (!embedding1 || embedding2) return 0;\n if (embedding1?.length === 0 || embedding2?.length === 0) return 0;\n if (embedding1?.length !== embedding2?.length) return 0;\n // general minkowski distance\n // euclidean distance is limited case where order is 2\n const order = 2;\n const distance = 10.0 * ((embedding1.map((val, i) => (val - embedding2[i])).reduce((dist, diff) => dist + (diff ** order), 0) ** (1 / order)));\n return (Math.trunc(1000 * (1 - distance)) / 1000);\n}\n\nexport async function predict(image, config) {\n if (!model) return null;\n return new Promise(async (resolve) => {\n const resize = tf.image.resizeBilinear(image, [config.face.embedding.inputSize, config.face.embedding.inputSize], false);\n // const normalize = tf.tidy(() => resize.div(127.5).sub(0.5)); // this is -0.5...0.5 ???\n let data: Array<[]> = [];\n if (config.face.embedding.enabled) {\n if (!config.profile) {\n const embeddingT = await model.predict({ img_inputs: resize });\n data = [...embeddingT.dataSync()]; // convert object array to standard array\n tf.dispose(embeddingT);\n } else {\n const profileData = await tf.profile(() => model.predict({ img_inputs: resize }));\n data = [...profileData.result.dataSync()];\n profileData.result.dispose();\n profile.run('emotion', profileData);\n }\n }\n resize.dispose();\n // normalize.dispose();\n resolve(data);\n });\n}\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as modelBase from './modelBase';\nimport * as decodeMultiple from './decodeMultiple';\nimport * as decodePose from './decodePose';\nimport * as util from './util';\n\nasync function estimateMultiple(input, res, config) {\n return new Promise(async (resolve) => {\n const height = input.shape[1];\n const width = input.shape[2];\n const allTensorBuffers = await util.toTensorBuffers3D([res.heatmapScores, res.offsets, res.displacementFwd, res.displacementBwd]);\n const scoresBuffer = allTensorBuffers[0];\n const offsetsBuffer = allTensorBuffers[1];\n const displacementsFwdBuffer = allTensorBuffers[2];\n const displacementsBwdBuffer = allTensorBuffers[3];\n const poses = await decodeMultiple.decodeMultiplePoses(scoresBuffer, offsetsBuffer, displacementsFwdBuffer, displacementsBwdBuffer, config);\n const scaled = util.scaleAndFlipPoses(poses, [height, width], [config.body.inputSize, config.body.inputSize]);\n resolve(scaled);\n });\n}\n\nasync function estimateSingle(input, res, config) {\n return new Promise(async (resolve) => {\n const height = input.shape[1];\n const width = input.shape[2];\n const pose = await decodePose.decodeSinglePose(res.heatmapScores, res.offsets, config);\n const poses = [pose];\n const scaled = util.scaleAndFlipPoses(poses, [height, width], [config.body.inputSize, config.body.inputSize]);\n resolve(scaled);\n });\n}\n\nexport class PoseNet {\n baseModel: any;\n constructor(model) {\n this.baseModel = model;\n }\n\n async estimatePoses(input, config) {\n const resized = util.resizeTo(input, [config.body.inputSize, config.body.inputSize]);\n const res = this.baseModel.predict(resized, config);\n\n const poses = (config.body.maxDetections < 2) ? await estimateSingle(input, res, config) : await estimateMultiple(input, res, config);\n\n res.heatmapScores.dispose();\n res.offsets.dispose();\n res.displacementFwd.dispose();\n res.displacementBwd.dispose();\n resized.dispose();\n\n return poses;\n }\n\n dispose() {\n this.baseModel.dispose();\n }\n}\n\nexport async function load(config) {\n const model = await tf.loadGraphModel(config.body.modelPath);\n const mobilenet = new modelBase.BaseModel(model);\n log(`load model: ${config.body.modelPath.match(/\\/(.*)\\./)[1]}`);\n return new PoseNet(mobilenet);\n}\n", "import * as tf from '../../dist/tfjs.esm.js';\n\nconst imageNetMean = [-123.15, -115.90, -103.06];\n\nfunction nameOutputResultsMobileNet(results) {\n const [offsets, heatmap, displacementFwd, displacementBwd] = results;\n return { offsets, heatmap, displacementFwd, displacementBwd };\n}\n\nfunction nameOutputResultsResNet(results) {\n const [displacementFwd, displacementBwd, offsets, heatmap] = results;\n return { offsets, heatmap, displacementFwd, displacementBwd };\n}\n\nexport class BaseModel {\n model: any;\n constructor(model) {\n this.model = model;\n }\n\n predict(input, config) {\n return tf.tidy(() => {\n const asFloat = (config.body.modelType === 'ResNet') ? input.toFloat().add(imageNetMean) : input.toFloat().div(127.5).sub(1.0);\n const asBatch = asFloat.expandDims(0);\n const results = this.model.predict(asBatch);\n const results3d = results.map((y) => y.squeeze([0]));\n const namedResults = (config.body.modelType === 'ResNet') ? nameOutputResultsResNet(results3d) : nameOutputResultsMobileNet(results3d);\n return {\n heatmapScores: namedResults.heatmap.sigmoid(),\n offsets: namedResults.offsets,\n displacementFwd: namedResults.displacementFwd,\n displacementBwd: namedResults.displacementBwd,\n };\n });\n }\n\n dispose() {\n this.model.dispose();\n }\n}\n", "// algorithm based on Coursera Lecture from Algorithms, Part 1: https://www.coursera.org/learn/algorithms-part1/lecture/ZjoSM/heapsort\nfunction half(k) {\n return Math.floor(k / 2);\n}\nexport class MaxHeap {\n priorityQueue: any;\n numberOfElements: number;\n getElementValue: any;\n\n constructor(maxSize, getElementValue) {\n this.priorityQueue = new Array(maxSize);\n this.numberOfElements = -1;\n this.getElementValue = getElementValue;\n }\n\n enqueue(x) {\n this.priorityQueue[++this.numberOfElements] = x;\n this.swim(this.numberOfElements);\n }\n\n dequeue() {\n const max = this.priorityQueue[0];\n this.exchange(0, this.numberOfElements--);\n this.sink(0);\n this.priorityQueue[this.numberOfElements + 1] = null;\n return max;\n }\n\n empty() {\n return this.numberOfElements === -1;\n }\n\n size() {\n return this.numberOfElements + 1;\n }\n\n all() {\n return this.priorityQueue.slice(0, this.numberOfElements + 1);\n }\n\n max() {\n return this.priorityQueue[0];\n }\n\n swim(k) {\n while (k > 0 && this.less(half(k), k)) {\n this.exchange(k, half(k));\n k = half(k);\n }\n }\n\n sink(k) {\n while (2 * k <= this.numberOfElements) {\n let j = 2 * k;\n if (j < this.numberOfElements && this.less(j, j + 1)) j++;\n if (!this.less(k, j)) break;\n this.exchange(k, j);\n k = j;\n }\n }\n\n getValueAt(i) {\n return this.getElementValue(this.priorityQueue[i]);\n }\n\n less(i, j) {\n return this.getValueAt(i) < this.getValueAt(j);\n }\n\n exchange(i, j) {\n const t = this.priorityQueue[i];\n this.priorityQueue[i] = this.priorityQueue[j];\n this.priorityQueue[j] = t;\n }\n}\n", "import * as heapSort from './heapSort';\n\nfunction scoreIsMaximumInLocalWindow(keypointId, score, heatmapY, heatmapX, localMaximumRadius, scores) {\n const [height, width] = scores.shape;\n let localMaximum = true;\n const yStart = Math.max(heatmapY - localMaximumRadius, 0);\n const yEnd = Math.min(heatmapY + localMaximumRadius + 1, height);\n for (let yCurrent = yStart; yCurrent < yEnd; ++yCurrent) {\n const xStart = Math.max(heatmapX - localMaximumRadius, 0);\n const xEnd = Math.min(heatmapX + localMaximumRadius + 1, width);\n for (let xCurrent = xStart; xCurrent < xEnd; ++xCurrent) {\n if (scores.get(yCurrent, xCurrent, keypointId) > score) {\n localMaximum = false;\n break;\n }\n }\n if (!localMaximum) break;\n }\n return localMaximum;\n}\n\nexport function buildPartWithScoreQueue(scoreThreshold, localMaximumRadius, scores) {\n const [height, width, numKeypoints] = scores.shape;\n const queue = new heapSort.MaxHeap(height * width * numKeypoints, ({ score }) => score);\n for (let heatmapY = 0; heatmapY < height; ++heatmapY) {\n for (let heatmapX = 0; heatmapX < width; ++heatmapX) {\n for (let keypointId = 0; keypointId < numKeypoints; ++keypointId) {\n const score = scores.get(heatmapY, heatmapX, keypointId);\n // Only consider parts with score greater or equal to threshold as root candidates.\n if (score < scoreThreshold) continue;\n // Only consider keypoints whose score is maximum in a local window.\n if (scoreIsMaximumInLocalWindow(keypointId, score, heatmapY, heatmapX, localMaximumRadius, scores)) {\n queue.enqueue({ score, part: { heatmapY, heatmapX, id: keypointId } });\n }\n }\n }\n }\n return queue;\n}\n", "import * as keypoints from './keypoints';\nimport * as vectors from './vectors';\nimport * as decoders from './decoders';\n\nconst parentChildrenTuples = keypoints.poseChain.map(([parentJoinName, childJoinName]) => ([keypoints.partIds[parentJoinName], keypoints.partIds[childJoinName]]));\nconst parentToChildEdges = parentChildrenTuples.map(([, childJointId]) => childJointId);\nconst childToParentEdges = parentChildrenTuples.map(([parentJointId]) => parentJointId);\nfunction getDisplacement(edgeId, point, displacements) {\n const numEdges = displacements.shape[2] / 2;\n return {\n y: displacements.get(point.y, point.x, edgeId),\n x: displacements.get(point.y, point.x, numEdges + edgeId),\n };\n}\nfunction getStridedIndexNearPoint(point, outputStride, height, width) {\n return {\n y: vectors.clamp(Math.round(point.y / outputStride), 0, height - 1),\n x: vectors.clamp(Math.round(point.x / outputStride), 0, width - 1),\n };\n}\n\nfunction traverseToTargetKeypoint(edgeId, sourceKeypoint, targetKeypointId, scoresBuffer, offsets, outputStride, displacements, offsetRefineStep = 2) {\n const [height, width] = scoresBuffer.shape;\n // Nearest neighbor interpolation for the source->target displacements.\n const sourceKeypointIndices = getStridedIndexNearPoint(sourceKeypoint.position, outputStride, height, width);\n const displacement = getDisplacement(edgeId, sourceKeypointIndices, displacements);\n const displacedPoint = vectors.addVectors(sourceKeypoint.position, displacement);\n let targetKeypoint = displacedPoint;\n for (let i = 0; i < offsetRefineStep; i++) {\n const targetKeypointIndices = getStridedIndexNearPoint(targetKeypoint, outputStride, height, width);\n const offsetPoint = vectors.getOffsetPoint(targetKeypointIndices.y, targetKeypointIndices.x, targetKeypointId, offsets);\n targetKeypoint = vectors.addVectors({\n x: targetKeypointIndices.x * outputStride,\n y: targetKeypointIndices.y * outputStride,\n }, { x: offsetPoint.x, y: offsetPoint.y });\n }\n const targetKeyPointIndices = getStridedIndexNearPoint(targetKeypoint, outputStride, height, width);\n const score = scoresBuffer.get(targetKeyPointIndices.y, targetKeyPointIndices.x, targetKeypointId);\n return { position: targetKeypoint, part: keypoints.partNames[targetKeypointId], score };\n}\n\nexport function decodePose(root, scores, offsets, outputStride, displacementsFwd, displacementsBwd) {\n const numParts = scores.shape[2];\n const numEdges = parentToChildEdges.length;\n const instanceKeypoints = new Array(numParts);\n // Start a new detection instance at the position of the root.\n const { part: rootPart, score: rootScore } = root;\n const rootPoint = vectors.getImageCoords(rootPart, outputStride, offsets);\n instanceKeypoints[rootPart.id] = {\n score: rootScore,\n part: keypoints.partNames[rootPart.id],\n position: rootPoint,\n };\n // Decode the part positions upwards in the tree, following the backward displacements.\n for (let edge = numEdges - 1; edge >= 0; --edge) {\n const sourceKeypointId = parentToChildEdges[edge];\n const targetKeypointId = childToParentEdges[edge];\n if (instanceKeypoints[sourceKeypointId] && !instanceKeypoints[targetKeypointId]) {\n instanceKeypoints[targetKeypointId] = traverseToTargetKeypoint(edge, instanceKeypoints[sourceKeypointId], targetKeypointId, scores, offsets, outputStride, displacementsBwd);\n }\n }\n // Decode the part positions downwards in the tree, following the forward displacements.\n for (let edge = 0; edge < numEdges; ++edge) {\n const sourceKeypointId = childToParentEdges[edge];\n const targetKeypointId = parentToChildEdges[edge];\n if (instanceKeypoints[sourceKeypointId] && !instanceKeypoints[targetKeypointId]) {\n instanceKeypoints[targetKeypointId] = traverseToTargetKeypoint(edge, instanceKeypoints[sourceKeypointId], targetKeypointId, scores, offsets, outputStride, displacementsFwd);\n }\n }\n return instanceKeypoints;\n}\n\nexport async function decodeSinglePose(heatmapScores, offsets, config) {\n let totalScore = 0.0;\n const heatmapValues = decoders.argmax2d(heatmapScores);\n const allTensorBuffers = await Promise.all([heatmapScores.buffer(), offsets.buffer(), heatmapValues.buffer()]);\n const scoresBuffer = allTensorBuffers[0];\n const offsetsBuffer = allTensorBuffers[1];\n const heatmapValuesBuffer = allTensorBuffers[2];\n const offsetPoints = decoders.getOffsetPoints(heatmapValuesBuffer, config.body.outputStride, offsetsBuffer);\n const offsetPointsBuffer = await offsetPoints.buffer();\n const keypointConfidence = Array.from(decoders.getPointsConfidence(scoresBuffer, heatmapValuesBuffer));\n const instanceKeypoints = keypointConfidence.map((score, i) => {\n totalScore += score;\n return {\n position: {\n y: offsetPointsBuffer.get(i, 0),\n x: offsetPointsBuffer.get(i, 1),\n },\n part: keypoints.partNames[i],\n score,\n };\n });\n const filteredKeypoints = instanceKeypoints.filter((kpt) => kpt.score > config.body.scoreThreshold);\n heatmapValues.dispose();\n offsetPoints.dispose();\n return { keypoints: filteredKeypoints, score: totalScore / instanceKeypoints.length };\n}\n", "import * as kpt from './keypoints';\n\nexport function getOffsetPoint(y, x, keypoint, offsets) {\n return {\n y: offsets.get(y, x, keypoint),\n x: offsets.get(y, x, keypoint + kpt.NUM_KEYPOINTS),\n };\n}\n\nexport function getImageCoords(part, outputStride, offsets) {\n const { heatmapY, heatmapX, id: keypoint } = part;\n const { y, x } = getOffsetPoint(heatmapY, heatmapX, keypoint, offsets);\n return {\n x: part.heatmapX * outputStride + x,\n y: part.heatmapY * outputStride + y,\n };\n}\n\nexport function fillArray(element, size) {\n const result = new Array(size);\n for (let i = 0; i < size; i++) {\n result[i] = element;\n }\n return result;\n}\n\nexport function clamp(a, min, max) {\n if (a < min) return min;\n if (a > max) return max;\n return a;\n}\n\nexport function squaredDistance(y1, x1, y2, x2) {\n const dy = y2 - y1;\n const dx = x2 - x1;\n return dy * dy + dx * dx;\n}\n\nexport function addVectors(a, b) {\n return { x: a.x + b.x, y: a.y + b.y };\n}\n\nexport function clampVector(a, min, max) {\n return { y: clamp(a.y, min, max), x: clamp(a.x, min, max) };\n}\n", "import * as tf from '../../dist/tfjs.esm.js';\nimport * as kpt from './keypoints';\n\nexport function getPointsConfidence(heatmapScores, heatMapCoords) {\n const numKeypoints = heatMapCoords.shape[0];\n const result = new Float32Array(numKeypoints);\n for (let keypoint = 0; keypoint < numKeypoints; keypoint++) {\n const y = heatMapCoords.get(keypoint, 0);\n const x = heatMapCoords.get(keypoint, 1);\n result[keypoint] = heatmapScores.get(y, x, keypoint);\n }\n return result;\n}\n\nfunction getOffsetPoint(y, x, keypoint, offsetsBuffer) {\n return {\n y: offsetsBuffer.get(y, x, keypoint),\n x: offsetsBuffer.get(y, x, keypoint + kpt.NUM_KEYPOINTS),\n };\n}\n\nexport function getOffsetVectors(heatMapCoordsBuffer, offsetsBuffer) {\n const result: Array = [];\n for (let keypoint = 0; keypoint < kpt.NUM_KEYPOINTS; keypoint++) {\n const heatmapY = heatMapCoordsBuffer.get(keypoint, 0).valueOf();\n const heatmapX = heatMapCoordsBuffer.get(keypoint, 1).valueOf();\n const { x, y } = getOffsetPoint(heatmapY, heatmapX, keypoint, offsetsBuffer);\n result.push(y);\n result.push(x);\n }\n return tf.tensor2d(result, [kpt.NUM_KEYPOINTS, 2]);\n}\n\nexport function getOffsetPoints(heatMapCoordsBuffer, outputStride, offsetsBuffer) {\n return tf.tidy(() => heatMapCoordsBuffer.toTensor().mul(tf.scalar(outputStride, 'int32')).toFloat().add(getOffsetVectors(heatMapCoordsBuffer, offsetsBuffer)));\n}\n\nfunction mod(a, b) {\n return tf.tidy(() => {\n const floored = a.div(tf.scalar(b, 'int32'));\n return a.sub(floored.mul(tf.scalar(b, 'int32')));\n });\n}\n\nexport function argmax2d(inputs) {\n const [height, width, depth] = inputs.shape;\n return tf.tidy(() => {\n const reshaped = inputs.reshape([height * width, depth]);\n const coords = reshaped.argMax(0);\n const yCoords = coords.div(tf.scalar(width, 'int32')).expandDims(1);\n const xCoords = mod(coords, width).expandDims(1);\n return tf.concat([yCoords, xCoords], 1);\n });\n}\n", "import * as buildParts from './buildParts';\nimport * as decodePose from './decodePose';\nimport * as vectors from './vectors';\n\nconst kLocalMaximumRadius = 1;\n\nfunction withinNmsRadiusOfCorrespondingPoint(poses, squaredNmsRadius, { x, y }, keypointId) {\n return poses.some(({ keypoints }) => {\n const correspondingKeypoint = keypoints[keypointId].position;\n return vectors.squaredDistance(y, x, correspondingKeypoint.y, correspondingKeypoint.x) <= squaredNmsRadius;\n });\n}\n\nfunction getInstanceScore(existingPoses, squaredNmsRadius, instanceKeypoints) {\n const notOverlappedKeypointScores = instanceKeypoints.reduce((result, { position, score }, keypointId) => {\n if (!withinNmsRadiusOfCorrespondingPoint(existingPoses, squaredNmsRadius, position, keypointId)) result += score;\n return result;\n }, 0.0);\n return notOverlappedKeypointScores / instanceKeypoints.length;\n}\n\nexport function decodeMultiplePoses(scoresBuffer, offsetsBuffer, displacementsFwdBuffer, displacementsBwdBuffer, config) {\n const poses: Array<{ keypoints: any, score: number }> = [];\n const queue = buildParts.buildPartWithScoreQueue(config.body.scoreThreshold, kLocalMaximumRadius, scoresBuffer);\n const squaredNmsRadius = config.body.nmsRadius ^ 2;\n // Generate at most maxDetections object instances per image in decreasing root part score order.\n while (poses.length < config.body.maxDetections && !queue.empty()) {\n // The top element in the queue is the next root candidate.\n const root = queue.dequeue();\n // Part-based non-maximum suppression: We reject a root candidate if it is within a disk of `nmsRadius` pixels from the corresponding part of a previously detected instance.\n const rootImageCoords = vectors.getImageCoords(root.part, config.body.outputStride, offsetsBuffer);\n if (withinNmsRadiusOfCorrespondingPoint(poses, squaredNmsRadius, rootImageCoords, root.part.id)) continue;\n // Else start a new detection instance at the position of the root.\n const keypoints = decodePose.decodePose(root, scoresBuffer, offsetsBuffer, config.body.outputStride, displacementsFwdBuffer, displacementsBwdBuffer);\n const score = getInstanceScore(poses, squaredNmsRadius, keypoints);\n if (score > config.body.scoreThreshold) poses.push({ keypoints, score });\n }\n return poses;\n}\n", "import * as kpt from './keypoints';\n\nexport function eitherPointDoesntMeetConfidence(a, b, minConfidence) {\n return (a < minConfidence || b < minConfidence);\n}\n\nexport function getAdjacentKeyPoints(keypoints, minConfidence) {\n return kpt.connectedPartIndices.reduce((result, [leftJoint, rightJoint]) => {\n if (eitherPointDoesntMeetConfidence(keypoints[leftJoint].score, keypoints[rightJoint].score, minConfidence)) {\n return result;\n }\n result.push([keypoints[leftJoint], keypoints[rightJoint]]);\n return result;\n }, []);\n}\n\nconst { NEGATIVE_INFINITY, POSITIVE_INFINITY } = Number;\nexport function getBoundingBox(keypoints) {\n return keypoints.reduce(({ maxX, maxY, minX, minY }, { position: { x, y } }) => ({\n maxX: Math.max(maxX, x),\n maxY: Math.max(maxY, y),\n minX: Math.min(minX, x),\n minY: Math.min(minY, y),\n }), {\n maxX: NEGATIVE_INFINITY,\n maxY: NEGATIVE_INFINITY,\n minX: POSITIVE_INFINITY,\n minY: POSITIVE_INFINITY,\n });\n}\n\nexport function getBoundingBoxPoints(keypoints) {\n const { minX, minY, maxX, maxY } = getBoundingBox(keypoints);\n return [{ x: minX, y: minY }, { x: maxX, y: minY }, { x: maxX, y: maxY }, { x: minX, y: maxY }];\n}\n\nexport async function toTensorBuffers3D(tensors) {\n return Promise.all(tensors.map((tensor) => tensor.buffer()));\n}\n\nexport function scalePose(pose, scaleY, scaleX) {\n return {\n score: pose.score,\n keypoints: pose.keypoints.map(({ score, part, position }) => ({\n score,\n part,\n position: { x: position.x * scaleX, y: position.y * scaleY },\n })),\n };\n}\n\nexport function resizeTo(image, [targetH, targetW]) {\n const input = image.squeeze(0);\n const resized = input.resizeBilinear([targetH, targetW]);\n input.dispose();\n return resized;\n}\n\nexport function scaleAndFlipPoses(poses, [height, width], [inputResolutionHeight, inputResolutionWidth]) {\n const scaledPoses = poses.map((pose) => scalePose(pose, height / inputResolutionHeight, width / inputResolutionWidth));\n return scaledPoses;\n}\n", "// https://storage.googleapis.com/tfjs-models/demos/handpose/index.html\n\nimport { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as handdetector from './handdetector';\nimport * as handpipeline from './handpipeline';\nimport * as anchors from './anchors';\n\nconst MESH_ANNOTATIONS = {\n thumb: [1, 2, 3, 4],\n indexFinger: [5, 6, 7, 8],\n middleFinger: [9, 10, 11, 12],\n ringFinger: [13, 14, 15, 16],\n pinky: [17, 18, 19, 20],\n palmBase: [0],\n};\n\nexport class HandPose {\n handPipeline: any;\n\n constructor(handPipeline) {\n this.handPipeline = handPipeline;\n }\n\n static getAnnotations() {\n return MESH_ANNOTATIONS;\n }\n\n async estimateHands(input, config) {\n const predictions = await this.handPipeline.estimateHands(input, config);\n if (!predictions) return [];\n const hands: Array<{ confidence: number, box: any, landmarks: any, annotations: any }> = [];\n for (const prediction of predictions) {\n const annotations = {};\n if (prediction.landmarks) {\n for (const key of Object.keys(MESH_ANNOTATIONS)) {\n annotations[key] = MESH_ANNOTATIONS[key].map((index) => prediction.landmarks[index]);\n }\n }\n const box = prediction.box ? [\n Math.max(0, prediction.box.topLeft[0]),\n Math.max(0, prediction.box.topLeft[1]),\n Math.min(input.shape[2], prediction.box.bottomRight[0]) - prediction.box.topLeft[0],\n Math.min(input.shape[1], prediction.box.bottomRight[1]) - prediction.box.topLeft[1],\n ] : 0;\n hands.push({ confidence: prediction.confidence, box, landmarks: prediction.landmarks, annotations });\n }\n return hands;\n }\n}\n\nexport async function load(config) {\n const [handDetectorModel, handPoseModel] = await Promise.all([\n config.hand.enabled ? tf.loadGraphModel(config.hand.detector.modelPath, { fromTFHub: config.hand.detector.modelPath.includes('tfhub.dev') }) : null,\n config.hand.landmarks ? tf.loadGraphModel(config.hand.skeleton.modelPath, { fromTFHub: config.hand.skeleton.modelPath.includes('tfhub.dev') }) : null,\n ]);\n const handDetector = new handdetector.HandDetector(handDetectorModel, config.hand.inputSize, anchors.anchors);\n const handPipeline = new handpipeline.HandPipeline(handDetector, handPoseModel, config.hand.inputSize);\n const handPose = new HandPose(handPipeline);\n if (config.hand.enabled) log(`load model: ${config.hand.detector.modelPath.match(/\\/(.*)\\./)[1]}`);\n if (config.hand.landmarks) log(`load model: ${config.hand.skeleton.modelPath.match(/\\/(.*)\\./)[1]}`);\n return handPose;\n}\n", "import * as tf from '../../dist/tfjs.esm.js';\nimport * as box from './box';\n\nexport class HandDetector {\n model: any;\n anchors: any;\n anchorsTensor: any;\n inputSizeTensor: any;\n doubleInputSizeTensor: any;\n\n constructor(model, inputSize, anchorsAnnotated) {\n this.model = model;\n this.anchors = anchorsAnnotated.map((anchor) => [anchor.x_center, anchor.y_center]);\n this.anchorsTensor = tf.tensor2d(this.anchors);\n this.inputSizeTensor = tf.tensor1d([inputSize, inputSize]);\n this.doubleInputSizeTensor = tf.tensor1d([inputSize * 2, inputSize * 2]);\n }\n\n normalizeBoxes(boxes) {\n return tf.tidy(() => {\n const boxOffsets = tf.slice(boxes, [0, 0], [-1, 2]);\n const boxSizes = tf.slice(boxes, [0, 2], [-1, 2]);\n const boxCenterPoints = tf.add(tf.div(boxOffsets, this.inputSizeTensor), this.anchorsTensor);\n const halfBoxSizes = tf.div(boxSizes, this.doubleInputSizeTensor);\n const startPoints = tf.mul(tf.sub(boxCenterPoints, halfBoxSizes), this.inputSizeTensor);\n const endPoints = tf.mul(tf.add(boxCenterPoints, halfBoxSizes), this.inputSizeTensor);\n return tf.concat2d([startPoints, endPoints], 1);\n });\n }\n\n normalizeLandmarks(rawPalmLandmarks, index) {\n return tf.tidy(() => {\n const landmarks = tf.add(tf.div(rawPalmLandmarks.reshape([-1, 7, 2]), this.inputSizeTensor), this.anchors[index]);\n return tf.mul(landmarks, this.inputSizeTensor);\n });\n }\n\n async getBoxes(input, config) {\n const batched = this.model.predict(input);\n const predictions = batched.squeeze();\n batched.dispose();\n const scoresT = tf.tidy(() => tf.sigmoid(tf.slice(predictions, [0, 0], [-1, 1])).squeeze());\n const scores = scoresT.dataSync();\n const rawBoxes = tf.slice(predictions, [0, 1], [-1, 4]);\n const boxes = this.normalizeBoxes(rawBoxes);\n rawBoxes.dispose();\n const filteredT = await tf.image.nonMaxSuppressionAsync(boxes, scores, config.hand.maxHands, config.hand.iouThreshold, config.hand.scoreThreshold);\n const filtered = filteredT.arraySync();\n\n scoresT.dispose();\n filteredT.dispose();\n const hands: Array<{ box: any, palmLandmarks: any, confidence: number }> = [];\n for (const index of filtered) {\n if (scores[index] >= config.hand.minConfidence) {\n const matchingBox = tf.slice(boxes, [index, 0], [1, -1]);\n const rawPalmLandmarks = tf.slice(predictions, [index, 5], [1, 14]);\n const palmLandmarks = tf.tidy(() => this.normalizeLandmarks(rawPalmLandmarks, index).reshape([-1, 2]));\n rawPalmLandmarks.dispose();\n hands.push({ box: matchingBox, palmLandmarks, confidence: scores[index] });\n }\n }\n predictions.dispose();\n boxes.dispose();\n return hands;\n }\n\n async estimateHandBounds(input, config) {\n const inputHeight = input.shape[1];\n const inputWidth = input.shape[2];\n const image = tf.tidy(() => input.resizeBilinear([config.hand.inputSize, config.hand.inputSize]).div(127.5).sub(1));\n const predictions = await this.getBoxes(image, config);\n image.dispose();\n const hands: Array<{}> = [];\n if (!predictions || predictions.length === 0) return hands;\n for (const prediction of predictions) {\n const boxes = prediction.box.dataSync();\n const startPoint = boxes.slice(0, 2);\n const endPoint = boxes.slice(2, 4);\n const palmLandmarks = prediction.palmLandmarks.arraySync();\n prediction.box.dispose();\n prediction.palmLandmarks.dispose();\n hands.push(box.scaleBoxCoordinates({ startPoint, endPoint, palmLandmarks, confidence: prediction.confidence }, [inputWidth / config.hand.inputSize, inputHeight / config.hand.inputSize]));\n }\n return hands;\n }\n}\n", "import * as tf from '../../dist/tfjs.esm.js';\n\nexport function getBoxSize(box) {\n return [\n Math.abs(box.endPoint[0] - box.startPoint[0]),\n Math.abs(box.endPoint[1] - box.startPoint[1]),\n ];\n}\n\nexport function getBoxCenter(box) {\n return [\n box.startPoint[0] + (box.endPoint[0] - box.startPoint[0]) / 2,\n box.startPoint[1] + (box.endPoint[1] - box.startPoint[1]) / 2,\n ];\n}\n\nexport function cutBoxFromImageAndResize(box, image, cropSize) {\n const h = image.shape[1];\n const w = image.shape[2];\n const boxes = [[\n box.startPoint[1] / h,\n box.startPoint[0] / w,\n box.endPoint[1] / h,\n box.endPoint[0] / w,\n ]];\n return tf.image.cropAndResize(image, boxes, [0], cropSize);\n}\n\nexport function scaleBoxCoordinates(box, factor) {\n const startPoint = [box.startPoint[0] * factor[0], box.startPoint[1] * factor[1]];\n const endPoint = [box.endPoint[0] * factor[0], box.endPoint[1] * factor[1]];\n const palmLandmarks = box.palmLandmarks.map((coord) => {\n const scaledCoord = [coord[0] * factor[0], coord[1] * factor[1]];\n return scaledCoord;\n });\n return { startPoint, endPoint, palmLandmarks, confidence: box.confidence };\n}\n\nexport function enlargeBox(box, factor = 1.5) {\n const center = getBoxCenter(box);\n const size = getBoxSize(box);\n const newHalfSize = [factor * size[0] / 2, factor * size[1] / 2];\n const startPoint = [center[0] - newHalfSize[0], center[1] - newHalfSize[1]];\n const endPoint = [center[0] + newHalfSize[0], center[1] + newHalfSize[1]];\n return { startPoint, endPoint, palmLandmarks: box.palmLandmarks };\n}\n\nexport function squarifyBox(box) {\n const centers = getBoxCenter(box);\n const size = getBoxSize(box);\n const maxEdge = Math.max(...size);\n const halfSize = maxEdge / 2;\n const startPoint = [centers[0] - halfSize, centers[1] - halfSize];\n const endPoint = [centers[0] + halfSize, centers[1] + halfSize];\n return { startPoint, endPoint, palmLandmarks: box.palmLandmarks };\n}\n\nexport function shiftBox(box, shiftFactor) {\n const boxSize = [\n box.endPoint[0] - box.startPoint[0],\n box.endPoint[1] - box.startPoint[1],\n ];\n const shiftVector = [boxSize[0] * shiftFactor[0], boxSize[1] * shiftFactor[1]];\n const startPoint = [box.startPoint[0] + shiftVector[0], box.startPoint[1] + shiftVector[1]];\n const endPoint = [box.endPoint[0] + shiftVector[0], box.endPoint[1] + shiftVector[1]];\n return { startPoint, endPoint, palmLandmarks: box.palmLandmarks };\n}\n", "import * as tf from '../../dist/tfjs.esm.js';\nimport * as box from './box';\nimport * as util from './util';\n\n// const PALM_BOX_SHIFT_VECTOR = [0, -0.4];\nconst PALM_BOX_ENLARGE_FACTOR = 5; // default 3\n// const HAND_BOX_SHIFT_VECTOR = [0, -0.1]; // move detected hand box by x,y to ease landmark detection\nconst HAND_BOX_ENLARGE_FACTOR = 1.65; // default 1.65\nconst PALM_LANDMARK_IDS = [0, 5, 9, 13, 17, 1, 2];\nconst PALM_LANDMARKS_INDEX_OF_PALM_BASE = 0;\nconst PALM_LANDMARKS_INDEX_OF_MIDDLE_FINGER_BASE = 2;\n\nexport class HandPipeline {\n handDetector: any;\n landmarkDetector: any;\n inputSize: number;\n storedBoxes: any;\n skipped: number;\n detectedHands: number;\n\n constructor(handDetector, landmarkDetector, inputSize) {\n this.handDetector = handDetector;\n this.landmarkDetector = landmarkDetector;\n this.inputSize = inputSize;\n this.storedBoxes = [];\n this.skipped = 0;\n this.detectedHands = 0;\n }\n\n getBoxForPalmLandmarks(palmLandmarks, rotationMatrix) {\n const rotatedPalmLandmarks = palmLandmarks.map((coord) => util.rotatePoint([...coord, 1], rotationMatrix));\n const boxAroundPalm = this.calculateLandmarksBoundingBox(rotatedPalmLandmarks);\n // return box.enlargeBox(box.squarifyBox(box.shiftBox(boxAroundPalm, PALM_BOX_SHIFT_VECTOR)), PALM_BOX_ENLARGE_FACTOR);\n return box.enlargeBox(box.squarifyBox(boxAroundPalm), PALM_BOX_ENLARGE_FACTOR);\n }\n\n getBoxForHandLandmarks(landmarks) {\n const boundingBox = this.calculateLandmarksBoundingBox(landmarks);\n // const boxAroundHand = box.enlargeBox(box.squarifyBox(box.shiftBox(boundingBox, HAND_BOX_SHIFT_VECTOR)), HAND_BOX_ENLARGE_FACTOR);\n const boxAroundHand = box.enlargeBox(box.squarifyBox(boundingBox), HAND_BOX_ENLARGE_FACTOR);\n boxAroundHand.palmLandmarks = [];\n for (let i = 0; i < PALM_LANDMARK_IDS.length; i++) {\n boxAroundHand.palmLandmarks.push(landmarks[PALM_LANDMARK_IDS[i]].slice(0, 2));\n }\n return boxAroundHand;\n }\n\n transformRawCoords(rawCoords, box2, angle, rotationMatrix) {\n const boxSize = box.getBoxSize(box2);\n const scaleFactor = [boxSize[0] / this.inputSize, boxSize[1] / this.inputSize, (boxSize[0] + boxSize[1]) / this.inputSize / 2];\n const coordsScaled = rawCoords.map((coord) => [\n scaleFactor[0] * (coord[0] - this.inputSize / 2),\n scaleFactor[1] * (coord[1] - this.inputSize / 2),\n scaleFactor[2] * coord[2],\n ]);\n const coordsRotationMatrix = util.buildRotationMatrix(angle, [0, 0]);\n const coordsRotated = coordsScaled.map((coord) => {\n const rotated = util.rotatePoint(coord, coordsRotationMatrix);\n return [...rotated, coord[2]];\n });\n const inverseRotationMatrix = util.invertTransformMatrix(rotationMatrix);\n const boxCenter = [...box.getBoxCenter(box2), 1];\n const originalBoxCenter = [\n util.dot(boxCenter, inverseRotationMatrix[0]),\n util.dot(boxCenter, inverseRotationMatrix[1]),\n ];\n return coordsRotated.map((coord) => [\n coord[0] + originalBoxCenter[0],\n coord[1] + originalBoxCenter[1],\n coord[2],\n ]);\n }\n\n async estimateHands(image, config) {\n let useFreshBox = false;\n\n // run new detector every skipFrames unless we only want box to start with\n let boxes;\n if ((this.skipped === 0) || (this.skipped > config.hand.skipFrames) || !config.hand.landmarks || !config.videoOptimized) {\n boxes = await this.handDetector.estimateHandBounds(image, config);\n this.skipped = 0;\n }\n if (config.videoOptimized) this.skipped++;\n\n // if detector result count doesn't match current working set, use it to reset current working set\n if (boxes && (boxes.length > 0) && ((boxes.length !== this.detectedHands) && (this.detectedHands !== config.hand.maxHands) || !config.hand.landmarks)) {\n this.detectedHands = 0;\n this.storedBoxes = [...boxes];\n // for (const possible of boxes) this.storedBoxes.push(possible);\n if (this.storedBoxes.length > 0) useFreshBox = true;\n }\n const hands: Array<{}> = [];\n // log('hand', `skipped: ${this.skipped} max: ${config.hand.maxHands} detected: ${this.detectedHands} stored: ${this.storedBoxes.length} new: ${boxes?.length}`);\n\n // go through working set of boxes\n for (let i = 0; i < this.storedBoxes.length; i++) {\n const currentBox = this.storedBoxes[i];\n if (!currentBox) continue;\n if (config.hand.landmarks) {\n const angle = config.hand.rotation ? util.computeRotation(currentBox.palmLandmarks[PALM_LANDMARKS_INDEX_OF_PALM_BASE], currentBox.palmLandmarks[PALM_LANDMARKS_INDEX_OF_MIDDLE_FINGER_BASE]) : 0;\n const palmCenter = box.getBoxCenter(currentBox);\n const palmCenterNormalized = [palmCenter[0] / image.shape[2], palmCenter[1] / image.shape[1]];\n const rotatedImage = config.hand.rotation ? tf.image.rotateWithOffset(image, angle, 0, palmCenterNormalized) : image.clone();\n const rotationMatrix = util.buildRotationMatrix(-angle, palmCenter);\n const newBox = useFreshBox ? this.getBoxForPalmLandmarks(currentBox.palmLandmarks, rotationMatrix) : currentBox;\n const croppedInput = box.cutBoxFromImageAndResize(newBox, rotatedImage, [this.inputSize, this.inputSize]);\n const handImage = croppedInput.div(255);\n croppedInput.dispose();\n rotatedImage.dispose();\n const [confidenceT, keypoints] = await this.landmarkDetector.predict(handImage);\n handImage.dispose();\n const confidence = confidenceT.dataSync()[0];\n confidenceT.dispose();\n if (confidence >= config.hand.minConfidence) {\n const keypointsReshaped = tf.reshape(keypoints, [-1, 3]);\n const rawCoords = keypointsReshaped.arraySync();\n keypoints.dispose();\n keypointsReshaped.dispose();\n const coords = this.transformRawCoords(rawCoords, newBox, angle, rotationMatrix);\n const nextBoundingBox = this.getBoxForHandLandmarks(coords);\n this.storedBoxes[i] = nextBoundingBox;\n const result = {\n landmarks: coords,\n confidence,\n box: { topLeft: nextBoundingBox.startPoint, bottomRight: nextBoundingBox.endPoint },\n };\n hands.push(result);\n } else {\n this.storedBoxes[i] = null;\n }\n keypoints.dispose();\n } else {\n // const enlarged = box.enlargeBox(box.squarifyBox(box.shiftBox(currentBox, HAND_BOX_SHIFT_VECTOR)), HAND_BOX_ENLARGE_FACTOR);\n const enlarged = box.enlargeBox(box.squarifyBox(currentBox), HAND_BOX_ENLARGE_FACTOR);\n const result = {\n confidence: currentBox.confidence,\n box: { topLeft: enlarged.startPoint, bottomRight: enlarged.endPoint },\n };\n hands.push(result);\n }\n }\n this.storedBoxes = this.storedBoxes.filter((a) => a !== null);\n this.detectedHands = hands.length;\n return hands;\n }\n\n // eslint-disable-next-line class-methods-use-this\n calculateLandmarksBoundingBox(landmarks) {\n const xs = landmarks.map((d) => d[0]);\n const ys = landmarks.map((d) => d[1]);\n const startPoint = [Math.min(...xs), Math.min(...ys)];\n const endPoint = [Math.max(...xs), Math.max(...ys)];\n return { startPoint, endPoint };\n }\n}\n", "export function normalizeRadians(angle) {\n return angle - 2 * Math.PI * Math.floor((angle + Math.PI) / (2 * Math.PI));\n}\n\nexport function computeRotation(point1, point2) {\n const radians = Math.PI / 2 - Math.atan2(-(point2[1] - point1[1]), point2[0] - point1[0]);\n return normalizeRadians(radians);\n}\n\nexport const buildTranslationMatrix = (x, y) => [[1, 0, x], [0, 1, y], [0, 0, 1]];\n\nexport function dot(v1, v2) {\n let product = 0;\n for (let i = 0; i < v1.length; i++) {\n product += v1[i] * v2[i];\n }\n return product;\n}\n\nexport function getColumnFrom2DArr(arr, columnIndex) {\n const column: Array = [];\n for (let i = 0; i < arr.length; i++) {\n column.push(arr[i][columnIndex]);\n }\n return column;\n}\n\nexport function multiplyTransformMatrices(mat1, mat2) {\n const product: Array = [];\n const size = mat1.length;\n for (let row = 0; row < size; row++) {\n product.push([]);\n for (let col = 0; col < size; col++) {\n product[row].push(dot(mat1[row], getColumnFrom2DArr(mat2, col)));\n }\n }\n return product;\n}\n\nexport function buildRotationMatrix(rotation, center) {\n const cosA = Math.cos(rotation);\n const sinA = Math.sin(rotation);\n const rotationMatrix = [[cosA, -sinA, 0], [sinA, cosA, 0], [0, 0, 1]];\n const translationMatrix = buildTranslationMatrix(center[0], center[1]);\n const translationTimesRotation = multiplyTransformMatrices(translationMatrix, rotationMatrix);\n const negativeTranslationMatrix = buildTranslationMatrix(-center[0], -center[1]);\n return multiplyTransformMatrices(translationTimesRotation, negativeTranslationMatrix);\n}\n\nexport function invertTransformMatrix(matrix) {\n const rotationComponent = [[matrix[0][0], matrix[1][0]], [matrix[0][1], matrix[1][1]]];\n const translationComponent = [matrix[0][2], matrix[1][2]];\n const invertedTranslation = [\n -dot(rotationComponent[0], translationComponent),\n -dot(rotationComponent[1], translationComponent),\n ];\n return [\n rotationComponent[0].concat(invertedTranslation[0]),\n rotationComponent[1].concat(invertedTranslation[1]),\n [0, 0, 1],\n ];\n}\n\nexport function rotatePoint(homogeneousCoordinate, rotationMatrix) {\n return [\n dot(homogeneousCoordinate, rotationMatrix[0]),\n dot(homogeneousCoordinate, rotationMatrix[1]),\n ];\n}\n", "export const anchors = [\n {\n w: 1,\n h: 1,\n x_center: 0.015625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.015625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.046875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.046875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.078125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.078125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.109375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.109375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.140625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.140625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.171875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.171875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.203125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.203125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.234375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.234375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.265625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.265625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.296875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.296875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.328125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.328125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.359375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.359375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.390625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.390625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.421875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.421875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.453125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.453125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.484375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.484375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.515625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.515625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.546875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.546875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.578125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.578125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.609375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.609375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.640625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.640625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.671875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.671875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.703125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.703125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.734375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.734375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.765625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.765625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.796875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.796875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.828125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.828125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.859375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.859375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.890625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.890625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.921875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.921875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.953125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.953125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.984375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.984375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.015625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.015625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.046875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.046875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.078125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.078125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.109375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.109375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.140625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.140625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.171875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.171875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.203125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.203125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.234375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.234375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.265625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.265625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.296875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.296875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.328125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.328125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.359375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.359375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.390625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.390625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.421875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.421875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.453125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.453125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.484375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.484375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.515625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.515625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.546875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.546875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.578125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.578125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.609375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.609375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.640625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.640625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.671875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.671875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.703125,\n y_center: 0.046875,\n },\n {\n w: 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{\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.4375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.4375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.4375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.4375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.4375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.4375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.4375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.4375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.4375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.4375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.9375,\n },\n];\n", "export const body = (res) => {\n if (!res) return [];\n const gestures: Array<{ body: number, gesture: string }> = [];\n for (let i = 0; i < res.length; i++) {\n // raising hands\n const leftWrist = res[i].keypoints.find((a) => (a.part === 'leftWrist'));\n const rightWrist = res[i].keypoints.find((a) => (a.part === 'rightWrist'));\n const nose = res[i].keypoints.find((a) => (a.part === 'nose'));\n if (nose && leftWrist && rightWrist && (leftWrist.position.y < nose.position.y) && (rightWrist.position.y < nose.position.y)) gestures.push({ body: i, gesture: 'i give up' });\n else if (nose && leftWrist && (leftWrist.position.y < nose.position.y)) gestures.push({ body: i, gesture: 'raise left hand' });\n else if (nose && rightWrist && (rightWrist.position.y < nose.position.y)) gestures.push({ body: i, gesture: 'raise right hand' });\n\n // leaning\n const leftShoulder = res[i].keypoints.find((a) => (a.part === 'leftShoulder'));\n const rightShoulder = res[i].keypoints.find((a) => (a.part === 'rightShoulder'));\n if (leftShoulder && rightShoulder) gestures.push({ body: i, gesture: `leaning ${(leftShoulder.position.y > rightShoulder.position.y) ? 'left' : 'right'}` });\n }\n return gestures;\n};\n\nexport const face = (res) => {\n if (!res) return [];\n const gestures: Array<{ face: number, gesture: string }> = [];\n for (let i = 0; i < res.length; i++) {\n if (res[i].mesh && res[i].mesh.length > 0) {\n const eyeFacing = res[i].mesh[35][2] - res[i].mesh[263][2];\n if (Math.abs(eyeFacing) < 10) gestures.push({ face: i, gesture: 'facing camera' });\n else gestures.push({ face: i, gesture: `facing ${eyeFacing < 0 ? 'right' : 'left'}` });\n const openLeft = Math.abs(res[i].mesh[374][1] - res[i].mesh[386][1]) / Math.abs(res[i].mesh[443][1] - res[i].mesh[450][1]); // center of eye inner lid y coord div center of wider eye border y coord\n if (openLeft < 0.2) gestures.push({ face: i, gesture: 'blink left eye' });\n const openRight = Math.abs(res[i].mesh[145][1] - res[i].mesh[159][1]) / Math.abs(res[i].mesh[223][1] - res[i].mesh[230][1]); // center of eye inner lid y coord div center of wider eye border y coord\n if (openRight < 0.2) gestures.push({ face: i, gesture: 'blink right eye' });\n const mouthOpen = Math.min(100, 500 * Math.abs(res[i].mesh[13][1] - res[i].mesh[14][1]) / Math.abs(res[i].mesh[10][1] - res[i].mesh[152][1]));\n if (mouthOpen > 10) gestures.push({ face: i, gesture: `mouth ${Math.trunc(mouthOpen)}% open` });\n const chinDepth = res[i].mesh[152][2];\n if (Math.abs(chinDepth) > 10) gestures.push({ face: i, gesture: `head ${chinDepth < 0 ? 'up' : 'down'}` });\n }\n }\n return gestures;\n};\n\nexport const iris = (res) => {\n if (!res) return [];\n const gestures: Array<{ iris: number, gesture: string }> = [];\n for (let i = 0; i < res.length; i++) {\n if (!res[i].annotations || !res[i].annotations.leftEyeIris || !res[i].annotations.rightEyeIris) continue;\n const sizeXLeft = res[i].annotations.leftEyeIris[3][0] - res[i].annotations.leftEyeIris[1][0];\n const sizeYLeft = res[i].annotations.leftEyeIris[4][1] - res[i].annotations.leftEyeIris[2][1];\n const areaLeft = Math.abs(sizeXLeft * sizeYLeft);\n\n const sizeXRight = res[i].annotations.rightEyeIris[3][0] - res[i].annotations.rightEyeIris[1][0];\n const sizeYRight = res[i].annotations.rightEyeIris[4][1] - res[i].annotations.rightEyeIris[2][1];\n const areaRight = Math.abs(sizeXRight * sizeYRight);\n\n const difference = Math.abs(areaLeft - areaRight) / Math.max(areaLeft, areaRight);\n if (difference < 0.25) gestures.push({ iris: i, gesture: 'looking at camera' });\n }\n return gestures;\n};\n\nexport const hand = (res) => {\n if (!res) return [];\n const gestures: Array<{ hand: number, gesture: string }> = [];\n for (let i = 0; i < res.length; i++) {\n const fingers: Array<{ name: string, position: number }> = [];\n for (const [finger, pos] of Object.entries(res[i]['annotations'])) {\n // @ts-ignore\n if (finger !== 'palmBase') fingers.push({ name: finger.toLowerCase(), position: pos[0] }); // get tip of each finger\n }\n if (fingers && fingers.length > 0) {\n const closest = fingers.reduce((best, a) => (best.position[2] < a.position[2] ? best : a));\n const highest = fingers.reduce((best, a) => (best.position[1] < a.position[1] ? best : a));\n gestures.push({ hand: i, gesture: `${closest.name} forward ${highest.name} up` });\n }\n }\n return gestures;\n};\n", "// @ts-nocheck\n\nimport { log } from './log';\nimport * as tf from '../dist/tfjs.esm.js';\nimport * as fxImage from './imagefx';\n\n// internal temp canvases\nlet inCanvas = null;\nlet outCanvas = null;\n// instance of fximage\nlet fx = null;\n\n// process input image and return tensor\n// input can be tensor, imagedata, htmlimageelement, htmlvideoelement\n// input is resized and run through imagefx filter\nexport function process(input, config) {\n let tensor;\n if (input instanceof tf.Tensor) {\n tensor = tf.clone(input);\n } else {\n const originalWidth = input.naturalWidth || input.videoWidth || input.width || (input.shape && (input.shape[1] > 0));\n const originalHeight = input.naturalHeight || input.videoHeight || input.height || (input.shape && (input.shape[2] > 0));\n let targetWidth = originalWidth;\n let targetHeight = originalHeight;\n if (config.filter.width > 0) targetWidth = config.filter.width;\n else if (config.filter.height > 0) targetWidth = originalWidth * (config.filter.height / originalHeight);\n if (config.filter.height > 0) targetHeight = config.filter.height;\n else if (config.filter.width > 0) targetHeight = originalHeight * (config.filter.width / originalWidth);\n if (!targetWidth || !targetHeight) {\n log('Human: invalid input', input);\n return null;\n }\n if (!inCanvas || (inCanvas.width !== targetWidth) || (inCanvas.height !== targetHeight)) {\n inCanvas = (typeof OffscreenCanvas !== 'undefined') ? new OffscreenCanvas(targetWidth, targetHeight) : document.createElement('canvas');\n if (inCanvas.width !== targetWidth) inCanvas.width = targetWidth;\n if (inCanvas.height !== targetHeight) inCanvas.height = targetHeight;\n }\n const ctx = inCanvas.getContext('2d');\n if (input instanceof ImageData) ctx.putImageData(input, 0, 0);\n else ctx.drawImage(input, 0, 0, originalWidth, originalHeight, 0, 0, inCanvas.width, inCanvas.height);\n if (config.filter.enabled) {\n if (!fx || !outCanvas || (inCanvas.width !== outCanvas.width) || (inCanvas.height !== outCanvas.height)) {\n outCanvas = (typeof OffscreenCanvas !== 'undefined') ? new OffscreenCanvas(inCanvas.width, inCanvas.height) : document.createElement('canvas');\n if (outCanvas.width !== inCanvas.width) outCanvas.width = inCanvas.width;\n if (outCanvas.height !== inCanvas.height) outCanvas.height = inCanvas.height;\n log('created FX filter');\n fx = tf.ENV.flags.IS_BROWSER ? new fxImage.GLImageFilter({ canvas: outCanvas }) : null; // && (typeof document !== 'undefined')\n }\n if (!fx) return inCanvas;\n fx.reset();\n fx.addFilter('brightness', config.filter.brightness); // must have at least one filter enabled\n if (config.filter.contrast !== 0) fx.addFilter('contrast', config.filter.contrast);\n if (config.filter.sharpness !== 0) fx.addFilter('sharpen', config.filter.sharpness);\n if (config.filter.blur !== 0) fx.addFilter('blur', config.filter.blur);\n if (config.filter.saturation !== 0) fx.addFilter('saturation', config.filter.saturation);\n if (config.filter.hue !== 0) fx.addFilter('hue', config.filter.hue);\n if (config.filter.negative) fx.addFilter('negative');\n if (config.filter.sepia) fx.addFilter('sepia');\n if (config.filter.vintage) fx.addFilter('brownie');\n if (config.filter.sepia) fx.addFilter('sepia');\n if (config.filter.kodachrome) fx.addFilter('kodachrome');\n if (config.filter.technicolor) fx.addFilter('technicolor');\n if (config.filter.polaroid) fx.addFilter('polaroid');\n if (config.filter.pixelate !== 0) fx.addFilter('pixelate', config.filter.pixelate);\n fx.apply(inCanvas);\n // read pixel data\n /*\n const gl = outCanvas.getContext('webgl');\n if (gl) {\n const glBuffer = new Uint8Array(outCanvas.width * outCanvas.height * 4);\n const pixBuffer = new Uint8Array(outCanvas.width * outCanvas.height * 3);\n gl.readPixels(0, 0, outCanvas.width, outCanvas.height, gl.RGBA, gl.UNSIGNED_BYTE, glBuffer);\n // gl returns rbga while we only need rgb, so discarding alpha channel\n // gl returns starting point as lower left, so need to invert vertical\n let i = 0;\n for (let y = outCanvas.height - 1; y >= 0; y--) {\n for (let x = 0; x < outCanvas.width; x++) {\n const index = (x + y * outCanvas.width) * 4;\n pixBuffer[i++] = glBuffer[index + 0];\n pixBuffer[i++] = glBuffer[index + 1];\n pixBuffer[i++] = glBuffer[index + 2];\n }\n }\n outCanvas.data = pixBuffer;\n }\n */\n } else {\n outCanvas = inCanvas;\n if (fx) fx = null;\n }\n let pixels;\n if (outCanvas.data) {\n const shape = [outCanvas.height, outCanvas.width, 3];\n pixels = tf.tensor3d(outCanvas.data, shape, 'int32');\n } else if ((config.backend === 'webgl') || (outCanvas instanceof ImageData)) {\n // tf kernel-optimized method to get imagedata, also if input is imagedata, just use it\n pixels = tf.browser.fromPixels(outCanvas);\n } else {\n // cpu and wasm kernel does not implement efficient fromPixels method nor we can use canvas as-is, so we do a silly one more canvas\n const tempCanvas = (typeof OffscreenCanvas !== 'undefined') ? new OffscreenCanvas(targetWidth, targetHeight) : document.createElement('canvas');\n tempCanvas.width = targetWidth;\n tempCanvas.height = targetHeight;\n const tempCtx = tempCanvas.getContext('2d');\n tempCtx?.drawImage(outCanvas, 0, 0);\n const data = tempCtx?.getImageData(0, 0, targetWidth, targetHeight);\n pixels = tf.browser.fromPixels(data);\n }\n const casted = pixels.toFloat();\n tensor = casted.expandDims(0);\n pixels.dispose();\n casted.dispose();\n }\n return { tensor, canvas: config.filter.return ? outCanvas : null };\n}\n", "/*\nWebGLImageFilter - MIT Licensed\n2013, Dominic Szablewski - phoboslab.org\n\n*/\n\nfunction GLProgram(gl, vertexSource, fragmentSource) {\n const _collect = function (source, prefix, collection) {\n const r = new RegExp('\\\\b' + prefix + ' \\\\w+ (\\\\w+)', 'ig');\n source.replace(r, (match, name) => {\n collection[name] = 0;\n return match;\n });\n };\n\n const _compile = function (source, type) {\n const shader = gl.createShader(type);\n gl.shaderSource(shader, source);\n gl.compileShader(shader);\n if (!gl.getShaderParameter(shader, gl.COMPILE_STATUS)) {\n // @ts-ignore\n throw new Error('Filter: GL compile failed', gl.getShaderInfoLog(shader));\n }\n return shader;\n };\n\n this.uniform = {};\n this.attribute = {};\n const _vsh = _compile(vertexSource, gl.VERTEX_SHADER);\n const _fsh = _compile(fragmentSource, gl.FRAGMENT_SHADER);\n this.id = gl.createProgram();\n gl.attachShader(this.id, _vsh);\n gl.attachShader(this.id, _fsh);\n gl.linkProgram(this.id);\n\n if (!gl.getProgramParameter(this.id, gl.LINK_STATUS)) {\n // @ts-ignore\n throw new Error('Filter: GL link failed', gl.getProgramInfoLog(this.id));\n }\n\n gl.useProgram(this.id);\n // Collect attributes\n _collect(vertexSource, 'attribute', this.attribute);\n for (const a in this.attribute) this.attribute[a] = gl.getAttribLocation(this.id, a);\n // Collect uniforms\n _collect(vertexSource, 'uniform', this.uniform);\n _collect(fragmentSource, 'uniform', this.uniform);\n for (const u in this.uniform) this.uniform[u] = gl.getUniformLocation(this.id, u);\n}\n\n// export const GLImageFilter = function (params) {\nexport function GLImageFilter(params) {\n if (!params) params = { };\n let _drawCount = 0;\n let _sourceTexture = null;\n let _lastInChain = false;\n let _currentFramebufferIndex = -1;\n let _tempFramebuffers = [null, null];\n let _filterChain = [];\n let _width = -1;\n let _height = -1;\n let _vertexBuffer = null;\n let _currentProgram = null;\n const _filter = {};\n const _canvas = params.canvas || document.createElement('canvas');\n // key is the shader program source, value is the compiled program\n const _shaderProgramCache = { };\n const DRAW = { INTERMEDIATE: 1 };\n const gl = _canvas.getContext('webgl');\n if (!gl) throw new Error('Filter: getContext() failed');\n\n this.addFilter = function (name) {\n // eslint-disable-next-line prefer-rest-params\n const args = Array.prototype.slice.call(arguments, 1);\n const filter = _filter[name];\n _filterChain.push({ func: filter, args });\n };\n\n this.reset = function () {\n _filterChain = [];\n };\n\n const _resize = function (width, height) {\n // Same width/height? Nothing to do here\n if (width === _width && height === _height) { return; }\n _canvas.width = width;\n _width = width;\n _canvas.height = height;\n _height = height;\n // Create the context if we don't have it yet\n if (!_vertexBuffer) {\n // Create the vertex buffer for the two triangles [x, y, u, v] * 6\n const vertices = new Float32Array([\n -1, -1, 0, 1, 1, -1, 1, 1, -1, 1, 0, 0,\n -1, 1, 0, 0, 1, -1, 1, 1, 1, 1, 1, 0,\n ]);\n // eslint-disable-next-line no-unused-expressions\n (_vertexBuffer = gl.createBuffer(), gl.bindBuffer(gl.ARRAY_BUFFER, _vertexBuffer));\n gl.bufferData(gl.ARRAY_BUFFER, vertices, gl.STATIC_DRAW);\n gl.pixelStorei(gl.UNPACK_PREMULTIPLY_ALPHA_WEBGL, true);\n }\n gl.viewport(0, 0, _width, _height);\n // Delete old temp framebuffers\n _tempFramebuffers = [null, null];\n };\n\n const _createFramebufferTexture = function (width, height) {\n const fbo = gl.createFramebuffer();\n gl.bindFramebuffer(gl.FRAMEBUFFER, fbo);\n const renderbuffer = gl.createRenderbuffer();\n gl.bindRenderbuffer(gl.RENDERBUFFER, renderbuffer);\n const texture = gl.createTexture();\n gl.bindTexture(gl.TEXTURE_2D, texture);\n gl.texImage2D(gl.TEXTURE_2D, 0, gl.RGBA, width, height, 0, gl.RGBA, gl.UNSIGNED_BYTE, null);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MAG_FILTER, gl.LINEAR);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MIN_FILTER, gl.LINEAR);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_S, gl.CLAMP_TO_EDGE);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_T, gl.CLAMP_TO_EDGE);\n gl.framebufferTexture2D(gl.FRAMEBUFFER, gl.COLOR_ATTACHMENT0, gl.TEXTURE_2D, texture, 0);\n gl.bindTexture(gl.TEXTURE_2D, null);\n gl.bindFramebuffer(gl.FRAMEBUFFER, null);\n return { fbo, texture };\n };\n\n const _getTempFramebuffer = function (index) {\n // @ts-ignore\n _tempFramebuffers[index] = _tempFramebuffers[index] || _createFramebufferTexture(_width, _height);\n return _tempFramebuffers[index];\n };\n\n const _draw = function (flags = null) {\n let source = null;\n let target = null;\n let flipY = false;\n // Set up the source\n if (_drawCount === 0) {\n // First draw call - use the source texture\n source = _sourceTexture;\n } else {\n // All following draw calls use the temp buffer last drawn to\n // @ts-ignore\n source = _getTempFramebuffer(_currentFramebufferIndex)?.texture;\n }\n _drawCount++;\n // Set up the target\n if (_lastInChain && !(flags & DRAW.INTERMEDIATE)) {\n // Last filter in our chain - draw directly to the WebGL Canvas. We may\n // also have to flip the image vertically now\n target = null;\n flipY = _drawCount % 2 === 0;\n } else {\n // Intermediate draw call - get a temp buffer to draw to\n _currentFramebufferIndex = (_currentFramebufferIndex + 1) % 2;\n // @ts-ignore\n target = _getTempFramebuffer(_currentFramebufferIndex)?.fbo;\n }\n // Bind the source and target and draw the two triangles\n gl.bindTexture(gl.TEXTURE_2D, source);\n gl.bindFramebuffer(gl.FRAMEBUFFER, target);\n gl.uniform1f(_currentProgram.uniform.flipY, (flipY ? -1 : 1));\n gl.drawArrays(gl.TRIANGLES, 0, 6);\n };\n\n this.apply = function (image) {\n _resize(image.width, image.height);\n _drawCount = 0;\n // Create the texture for the input image if we haven't yet\n if (!_sourceTexture) _sourceTexture = gl.createTexture();\n gl.bindTexture(gl.TEXTURE_2D, _sourceTexture);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_S, gl.CLAMP_TO_EDGE);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_T, gl.CLAMP_TO_EDGE);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MIN_FILTER, gl.NEAREST);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MAG_FILTER, gl.NEAREST);\n gl.texImage2D(gl.TEXTURE_2D, 0, gl.RGBA, gl.RGBA, gl.UNSIGNED_BYTE, image);\n // No filters? Just draw\n if (_filterChain.length === 0) {\n // const program = _compileShader(SHADER.FRAGMENT_IDENTITY);\n _draw();\n return _canvas;\n }\n for (let i = 0; i < _filterChain.length; i++) {\n _lastInChain = (i === _filterChain.length - 1);\n const f = _filterChain[i];\n f.func.apply(this, f.args || []);\n }\n return _canvas;\n };\n\n const _compileShader = function (fragmentSource) {\n if (_shaderProgramCache[fragmentSource]) {\n _currentProgram = _shaderProgramCache[fragmentSource];\n gl.useProgram(_currentProgram.id);\n return _currentProgram;\n }\n // Compile shaders\n const SHADER = {};\n SHADER.VERTEX_IDENTITY = [\n 'precision highp float;',\n 'attribute vec2 pos;',\n 'attribute vec2 uv;',\n 'varying vec2 vUv;',\n 'uniform float flipY;',\n 'void main(void) {',\n 'vUv = uv;',\n 'gl_Position = vec4(pos.x, pos.y*flipY, 0.0, 1.);',\n '}',\n ].join('\\n');\n SHADER.FRAGMENT_IDENTITY = [\n 'precision highp float;',\n 'varying vec2 vUv;',\n 'uniform sampler2D texture;',\n 'void main(void) {',\n 'gl_FragColor = texture2D(texture, vUv);',\n '}',\n ].join('\\n');\n _currentProgram = new GLProgram(gl, SHADER.VERTEX_IDENTITY, fragmentSource);\n const floatSize = Float32Array.BYTES_PER_ELEMENT;\n const vertSize = 4 * floatSize;\n gl.enableVertexAttribArray(_currentProgram.attribute.pos);\n gl.vertexAttribPointer(_currentProgram.attribute.pos, 2, gl.FLOAT, false, vertSize, 0 * floatSize);\n gl.enableVertexAttribArray(_currentProgram.attribute.uv);\n gl.vertexAttribPointer(_currentProgram.attribute.uv, 2, gl.FLOAT, false, vertSize, 2 * floatSize);\n _shaderProgramCache[fragmentSource] = _currentProgram;\n return _currentProgram;\n };\n\n // -------------------------------------------------------------------------\n // Color Matrix Filter\n _filter.colorMatrix = function (matrix) {\n // Create a Float32 Array and normalize the offset component to 0-1\n const m = new Float32Array(matrix);\n m[4] /= 255;\n m[9] /= 255;\n m[14] /= 255;\n m[19] /= 255;\n // Can we ignore the alpha value? Makes things a bit faster.\n const shader = (m[18] === 1 && m[3] === 0 && m[8] === 0 && m[13] === 0 && m[15] === 0 && m[16] === 0 && m[17] === 0 && m[19] === 0)\n ? _filter.colorMatrix.SHADER.WITHOUT_ALPHA\n : _filter.colorMatrix.SHADER.WITH_ALPHA;\n const program = _compileShader(shader);\n gl.uniform1fv(program.uniform.m, m);\n _draw();\n };\n _filter.colorMatrix.SHADER = {};\n _filter.colorMatrix.SHADER.WITH_ALPHA = [\n 'precision highp float;',\n 'varying vec2 vUv;',\n 'uniform sampler2D texture;',\n 'uniform float m[20];',\n 'void main(void) {',\n 'vec4 c = texture2D(texture, vUv);',\n 'gl_FragColor.r = m[0] * c.r + m[1] * c.g + m[2] * c.b + m[3] * c.a + m[4];',\n 'gl_FragColor.g = m[5] * c.r + m[6] * c.g + m[7] * c.b + m[8] * c.a + m[9];',\n 'gl_FragColor.b = m[10] * c.r + m[11] * c.g + m[12] * c.b + m[13] * c.a + m[14];',\n 'gl_FragColor.a = m[15] * c.r + m[16] * c.g + m[17] * c.b + m[18] * c.a + m[19];',\n '}',\n ].join('\\n');\n _filter.colorMatrix.SHADER.WITHOUT_ALPHA = [\n 'precision highp float;',\n 'varying vec2 vUv;',\n 'uniform sampler2D texture;',\n 'uniform float m[20];',\n 'void main(void) {',\n 'vec4 c = texture2D(texture, vUv);',\n 'gl_FragColor.r = m[0] * c.r + m[1] * c.g + m[2] * c.b + m[4];',\n 'gl_FragColor.g = m[5] * c.r + m[6] * c.g + m[7] * c.b + m[9];',\n 'gl_FragColor.b = m[10] * c.r + m[11] * c.g + m[12] * c.b + m[14];',\n 'gl_FragColor.a = c.a;',\n '}',\n ].join('\\n');\n\n _filter.brightness = function (brightness) {\n const b = (brightness || 0) + 1;\n _filter.colorMatrix([\n b, 0, 0, 0, 0,\n 0, b, 0, 0, 0,\n 0, 0, b, 0, 0,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.saturation = function (amount) {\n const x = (amount || 0) * 2 / 3 + 1;\n const y = ((x - 1) * -0.5);\n _filter.colorMatrix([\n x, y, y, 0, 0,\n y, x, y, 0, 0,\n y, y, x, 0, 0,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.desaturate = function () {\n _filter.saturation(-1);\n };\n\n _filter.contrast = function (amount) {\n const v = (amount || 0) + 1;\n const o = -128 * (v - 1);\n\n _filter.colorMatrix([\n v, 0, 0, 0, o,\n 0, v, 0, 0, o,\n 0, 0, v, 0, o,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.negative = function () {\n _filter.contrast(-2);\n };\n\n _filter.hue = function (rotation) {\n rotation = (rotation || 0) / 180 * Math.PI;\n const cos = Math.cos(rotation);\n const sin = Math.sin(rotation);\n const lumR = 0.213;\n const lumG = 0.715;\n const lumB = 0.072;\n\n _filter.colorMatrix([\n lumR + cos * (1 - lumR) + sin * (-lumR), lumG + cos * (-lumG) + sin * (-lumG), lumB + cos * (-lumB) + sin * (1 - lumB), 0, 0,\n lumR + cos * (-lumR) + sin * (0.143), lumG + cos * (1 - lumG) + sin * (0.140), lumB + cos * (-lumB) + sin * (-0.283), 0, 0,\n lumR + cos * (-lumR) + sin * (-(1 - lumR)), lumG + cos * (-lumG) + sin * (lumG), lumB + cos * (1 - lumB) + sin * (lumB), 0, 0,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.desaturateLuminance = function () {\n _filter.colorMatrix([\n 0.2764723, 0.9297080, 0.0938197, 0, -37.1,\n 0.2764723, 0.9297080, 0.0938197, 0, -37.1,\n 0.2764723, 0.9297080, 0.0938197, 0, -37.1,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.sepia = function () {\n _filter.colorMatrix([\n 0.393, 0.7689999, 0.18899999, 0, 0,\n 0.349, 0.6859999, 0.16799999, 0, 0,\n 0.272, 0.5339999, 0.13099999, 0, 0,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.brownie = function () {\n _filter.colorMatrix([\n 0.5997023498159715, 0.34553243048391263, -0.2708298674538042, 0, 47.43192855600873,\n -0.037703249837783157, 0.8609577587992641, 0.15059552388459913, 0, -36.96841498319127,\n 0.24113635128153335, -0.07441037908422492, 0.44972182064877153, 0, -7.562075277591283,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.vintagePinhole = function () {\n _filter.colorMatrix([\n 0.6279345635605994, 0.3202183420819367, -0.03965408211312453, 0, 9.651285835294123,\n 0.02578397704808868, 0.6441188644374771, 0.03259127616149294, 0, 7.462829176470591,\n 0.0466055556782719, -0.0851232987247891, 0.5241648018700465, 0, 5.159190588235296,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.kodachrome = function () {\n _filter.colorMatrix([\n 1.1285582396593525, -0.3967382283601348, -0.03992559172921793, 0, 63.72958762196502,\n -0.16404339962244616, 1.0835251566291304, -0.05498805115633132, 0, 24.732407896706203,\n -0.16786010706155763, -0.5603416277695248, 1.6014850761964943, 0, 35.62982807460946,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.technicolor = function () {\n _filter.colorMatrix([\n 1.9125277891456083, -0.8545344976951645, -0.09155508482755585, 0, 11.793603434377337,\n -0.3087833385928097, 1.7658908555458428, -0.10601743074722245, 0, -70.35205161461398,\n -0.231103377548616, -0.7501899197440212, 1.847597816108189, 0, 30.950940869491138,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.polaroid = function () {\n _filter.colorMatrix([\n 1.438, -0.062, -0.062, 0, 0,\n -0.122, 1.378, -0.122, 0, 0,\n -0.016, -0.016, 1.483, 0, 0,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.shiftToBGR = function () {\n _filter.colorMatrix([\n 0, 0, 1, 0, 0,\n 0, 1, 0, 0, 0,\n 1, 0, 0, 0, 0,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n // -------------------------------------------------------------------------\n // Convolution Filter\n _filter.convolution = function (matrix) {\n const m = new Float32Array(matrix);\n const pixelSizeX = 1 / _width;\n const pixelSizeY = 1 / _height;\n const program = _compileShader(_filter.convolution.SHADER);\n gl.uniform1fv(program.uniform.m, m);\n gl.uniform2f(program.uniform.px, pixelSizeX, pixelSizeY);\n _draw();\n };\n\n _filter.convolution.SHADER = [\n 'precision highp float;',\n 'varying vec2 vUv;',\n 'uniform sampler2D texture;',\n 'uniform vec2 px;',\n 'uniform float m[9];',\n 'void main(void) {',\n 'vec4 c11 = texture2D(texture, vUv - px);', // top left\n 'vec4 c12 = texture2D(texture, vec2(vUv.x, vUv.y - px.y));', // top center\n 'vec4 c13 = texture2D(texture, vec2(vUv.x + px.x, vUv.y - px.y));', // top right\n 'vec4 c21 = texture2D(texture, vec2(vUv.x - px.x, vUv.y) );', // mid left\n 'vec4 c22 = texture2D(texture, vUv);', // mid center\n 'vec4 c23 = texture2D(texture, vec2(vUv.x + px.x, vUv.y) );', // mid right\n 'vec4 c31 = texture2D(texture, vec2(vUv.x - px.x, vUv.y + px.y) );', // bottom left\n 'vec4 c32 = texture2D(texture, vec2(vUv.x, vUv.y + px.y) );', // bottom center\n 'vec4 c33 = texture2D(texture, vUv + px );', // bottom right\n 'gl_FragColor = ',\n 'c11 * m[0] + c12 * m[1] + c22 * m[2] +',\n 'c21 * m[3] + c22 * m[4] + c23 * m[5] +',\n 'c31 * m[6] + c32 * m[7] + c33 * m[8];',\n 'gl_FragColor.a = c22.a;',\n '}',\n ].join('\\n');\n\n _filter.detectEdges = function () {\n _filter.convolution.call(this, [\n 0, 1, 0,\n 1, -4, 1,\n 0, 1, 0,\n ]);\n };\n\n _filter.sobelX = function () {\n _filter.convolution.call(this, [\n -1, 0, 1,\n -2, 0, 2,\n -1, 0, 1,\n ]);\n };\n\n _filter.sobelY = function () {\n _filter.convolution.call(this, [\n -1, -2, -1,\n 0, 0, 0,\n 1, 2, 1,\n ]);\n };\n\n _filter.sharpen = function (amount) {\n const a = amount || 1;\n _filter.convolution.call(this, [\n 0, -1 * a, 0,\n -1 * a, 1 + 4 * a, -1 * a,\n 0, -1 * a, 0,\n ]);\n };\n\n _filter.emboss = function (size) {\n const s = size || 1;\n _filter.convolution.call(this, [\n -2 * s, -1 * s, 0,\n -1 * s, 1, 1 * s,\n 0, 1 * s, 2 * s,\n ]);\n };\n\n // -------------------------------------------------------------------------\n // Blur Filter\n _filter.blur = function (size) {\n const blurSizeX = (size / 7) / _width;\n const blurSizeY = (size / 7) / _height;\n const program = _compileShader(_filter.blur.SHADER);\n // Vertical\n gl.uniform2f(program.uniform.px, 0, blurSizeY);\n _draw(DRAW.INTERMEDIATE);\n // Horizontal\n gl.uniform2f(program.uniform.px, blurSizeX, 0);\n _draw();\n };\n\n _filter.blur.SHADER = [\n 'precision highp float;',\n 'varying vec2 vUv;',\n 'uniform sampler2D texture;',\n 'uniform vec2 px;',\n 'void main(void) {',\n 'gl_FragColor = vec4(0.0);',\n 'gl_FragColor += texture2D(texture, vUv + vec2(-7.0*px.x, -7.0*px.y))*0.0044299121055113265;',\n 'gl_FragColor += texture2D(texture, vUv + vec2(-6.0*px.x, -6.0*px.y))*0.00895781211794;',\n 'gl_FragColor += texture2D(texture, vUv + vec2(-5.0*px.x, -5.0*px.y))*0.0215963866053;',\n 'gl_FragColor += texture2D(texture, vUv + vec2(-4.0*px.x, -4.0*px.y))*0.0443683338718;',\n 'gl_FragColor += texture2D(texture, vUv + vec2(-3.0*px.x, -3.0*px.y))*0.0776744219933;',\n 'gl_FragColor += texture2D(texture, vUv + vec2(-2.0*px.x, -2.0*px.y))*0.115876621105;',\n 'gl_FragColor += texture2D(texture, vUv + vec2(-1.0*px.x, -1.0*px.y))*0.147308056121;',\n 'gl_FragColor += texture2D(texture, vUv )*0.159576912161;',\n 'gl_FragColor += texture2D(texture, vUv + vec2( 1.0*px.x, 1.0*px.y))*0.147308056121;',\n 'gl_FragColor += texture2D(texture, vUv + vec2( 2.0*px.x, 2.0*px.y))*0.115876621105;',\n 'gl_FragColor += texture2D(texture, vUv + vec2( 3.0*px.x, 3.0*px.y))*0.0776744219933;',\n 'gl_FragColor += texture2D(texture, vUv + vec2( 4.0*px.x, 4.0*px.y))*0.0443683338718;',\n 'gl_FragColor += texture2D(texture, vUv + vec2( 5.0*px.x, 5.0*px.y))*0.0215963866053;',\n 'gl_FragColor += texture2D(texture, vUv + vec2( 6.0*px.x, 6.0*px.y))*0.00895781211794;',\n 'gl_FragColor += texture2D(texture, vUv + vec2( 7.0*px.x, 7.0*px.y))*0.0044299121055113265;',\n '}',\n ].join('\\n');\n\n // -------------------------------------------------------------------------\n // Pixelate Filter\n _filter.pixelate = function (size) {\n const blurSizeX = (size) / _width;\n const blurSizeY = (size) / _height;\n const program = _compileShader(_filter.pixelate.SHADER);\n // Horizontal\n gl.uniform2f(program.uniform.size, blurSizeX, blurSizeY);\n _draw();\n };\n\n _filter.pixelate.SHADER = [\n 'precision highp float;',\n 'varying vec2 vUv;',\n 'uniform vec2 size;',\n 'uniform sampler2D texture;',\n 'vec2 pixelate(vec2 coord, vec2 size) {',\n 'return floor( coord / size ) * size;',\n '}',\n 'void main(void) {',\n 'gl_FragColor = vec4(0.0);',\n 'vec2 coord = pixelate(vUv, size);',\n 'gl_FragColor += texture2D(texture, coord);',\n '}',\n ].join('\\n');\n}\n", "/* eslint-disable indent */\n/* eslint-disable no-multi-spaces */\n\nexport default {\n backend: 'webgl', // select tfjs backend to use\n wasmPath: '../assets/', // path for wasm binaries\n // only used for backend: wasm\n async: true, // execute enabled models in parallel\n // this disables per-model performance data but\n // slightly increases performance\n // cannot be used if profiling is enabled\n profile: false, // enable tfjs profiling\n // this has significant performance impact\n // only enable for debugging purposes\n // currently only implemented for age,gender,emotion models\n deallocate: false, // aggresively deallocate gpu memory after each usage\n // only valid for webgl backend and only during first call\n // cannot be changed unless library is reloaded\n // this has significant performance impact\n // only enable on low-memory devices\n scoped: false, // enable scoped runs\n // some models *may* have memory leaks,\n // this wrapps everything in a local scope at a cost of performance\n // typically not needed\n videoOptimized: true, // perform additional optimizations when input is video,\n // must be disabled for images\n // basically this skips object box boundary detection for every n frames\n // while maintaining in-box detection since objects cannot move that fast\n warmup: 'face', // what to use for human.warmup(), can be 'none', 'face', 'full'\n // warmup pre-initializes all models for faster inference but can take\n // significant time on startup\n filter: {\n enabled: true, // enable image pre-processing filters\n width: 0, // resize input width\n height: 0, // resize input height\n // if both width and height are set to 0, there is no resizing\n // if just one is set, second one is scaled automatically\n // if both are set, values are used as-is\n return: true, // return processed canvas imagedata in result\n brightness: 0, // range: -1 (darken) to 1 (lighten)\n contrast: 0, // range: -1 (reduce contrast) to 1 (increase contrast)\n sharpness: 0, // range: 0 (no sharpening) to 1 (maximum sharpening)\n blur: 0, // range: 0 (no blur) to N (blur radius in pixels)\n saturation: 0, // range: -1 (reduce saturation) to 1 (increase saturation)\n hue: 0, // range: 0 (no change) to 360 (hue rotation in degrees)\n negative: false, // image negative\n sepia: false, // image sepia colors\n vintage: false, // image vintage colors\n kodachrome: false, // image kodachrome colors\n technicolor: false, // image technicolor colors\n polaroid: false, // image polaroid camera effect\n pixelate: 0, // range: 0 (no pixelate) to N (number of pixels to pixelate)\n },\n\n gesture: {\n enabled: true, // enable simple gesture recognition\n },\n\n face: {\n enabled: true, // controls if specified modul is enabled\n // face.enabled is required for all face models:\n // detector, mesh, iris, age, gender, emotion\n // (note: module is not loaded until it is required)\n detector: {\n modelPath: '../models/blazeface-back.json', // can be 'blazeface-front', 'blazeface-front' or 'faceboxes'\n // 'blazeface-front' is blazeface model optimized for large faces such as front-facing camera\n // 'blazeface-back' is blazeface model optimized for smaller and/or distanct faces\n // 'faceboxes' is alternative model to 'blazeface\n inputSize: 256, // fixed value: 128 for front and 256 for 'back'\n rotation: false, // use best-guess rotated face image or just box with rotation as-is\n // false means higher performance, but incorrect mesh mapping if face angle is above 20 degrees\n maxFaces: 10, // maximum number of faces detected in the input\n // should be set to the minimum number for performance\n skipFrames: 11, // how many frames to go without re-running the face bounding box detector\n // only used for video inputs\n // e.g., if model is running st 25 FPS, we can re-use existing bounding\n // box for updated face analysis as the head probably hasn't moved much\n // in short time (10 * 1/25 = 0.25 sec)\n minConfidence: 0.5, // threshold for discarding a prediction\n iouThreshold: 0.2, // threshold for deciding whether boxes overlap too much in\n // non-maximum suppression (0.1 means drop if overlap 10%)\n scoreThreshold: 0.5, // threshold for deciding when to remove boxes based on score\n // in non-maximum suppression,\n // this is applied on detection objects only and before minConfidence\n },\n\n mesh: {\n enabled: true,\n modelPath: '../models/facemesh.json',\n inputSize: 192, // fixed value\n returnRawData: false, // in addition to standard mesh and box values, return raw normalized values as well\n },\n\n iris: {\n enabled: true,\n modelPath: '../models/iris.json',\n inputSize: 64, // fixed value\n },\n\n age: {\n enabled: true,\n modelPath: '../models/age-ssrnet-imdb.json', // can be 'age-ssrnet-imdb' or 'age-ssrnet-wiki'\n // which determines training set for model\n inputSize: 64, // fixed value\n skipFrames: 31, // how many frames to go without re-running the detector\n // only used for video inputs\n },\n\n gender: {\n enabled: true,\n minConfidence: 0.1, // threshold for discarding a prediction\n modelPath: '../models/gender-ssrnet-imdb.json', // can be 'gender', 'gender-ssrnet-imdb' or 'gender-ssrnet-wiki'\n inputSize: 64, // fixed value\n skipFrames: 41, // how many frames to go without re-running the detector\n // only used for video inputs\n },\n\n emotion: {\n enabled: true,\n inputSize: 64, // fixed value\n minConfidence: 0.2, // threshold for discarding a prediction\n skipFrames: 21, // how many frames to go without re-running the detector\n modelPath: '../models/emotion-large.json', // can be 'mini', 'large'\n },\n\n embedding: {\n enabled: false,\n inputSize: 112, // fixed value\n modelPath: '../models/mobilefacenet.json',\n },\n },\n\n body: {\n enabled: true,\n modelPath: '../models/posenet.json',\n inputSize: 257, // fixed value\n maxDetections: 10, // maximum number of people detected in the input\n // should be set to the minimum number for performance\n scoreThreshold: 0.5, // threshold for deciding when to remove boxes based on score\n // in non-maximum suppression\n nmsRadius: 20, // radius for deciding points are too close in non-maximum suppression\n outputStride: 16, // size of block in which to run point detectopn, smaller value means higher resolution\n // defined by model itself, can be 8, 16, or 32\n modelType: 'MobileNet', // Human includes MobileNet version, but you can switch to ResNet\n },\n\n hand: {\n enabled: true,\n rotation: false, // use best-guess rotated hand image or just box with rotation as-is\n // false means higher performance, but incorrect finger mapping if hand is inverted\n inputSize: 256, // fixed value\n skipFrames: 12, // how many frames to go without re-running the hand bounding box detector\n // only used for video inputs\n // e.g., if model is running st 25 FPS, we can re-use existing bounding\n // box for updated hand skeleton analysis as the hand probably\n // hasn't moved much in short time (10 * 1/25 = 0.25 sec)\n minConfidence: 0.1, // threshold for discarding a prediction\n iouThreshold: 0.1, // threshold for deciding whether boxes overlap too much\n // in non-maximum suppression\n scoreThreshold: 0.5, // threshold for deciding when to remove boxes based on\n // score in non-maximum suppression\n maxHands: 1, // maximum number of hands detected in the input\n // should be set to the minimum number for performance\n landmarks: true, // detect hand landmarks or just hand boundary box\n detector: {\n modelPath: '../models/handdetect.json',\n },\n skeleton: {\n modelPath: '../models/handskeleton.json',\n },\n },\n};\n", "// data:image/jpeg;base64,\nexport const face = 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n=Math.PI/2-Math.atan2(-(e[1]-t[1]),e[0]-t[0]);return A5(n)}var b0=(t,e)=>[[1,0,t],[0,1,e],[0,0,1]];function G(t,e){let n=0;for(let r=0;rT1([...c,1],n)),A=this.calculateLandmarksBoundingBox(r);return Te(ve(A),_5)}getBoxForHandLandmarks(e){let n=this.calculateLandmarksBoundingBox(e),r=Te(ve(n),v0);r.palmLandmarks=[];for(let A=0;A[_[0]*(d[0]-this.inputSize/2),_[1]*(d[1]-this.inputSize/2),_[2]*d[2]]),x=g1(r,[0,0]),o=h.map(d=>[...T1(d,x),d[2]]),i=T0(A),s=[...he(n),1],a=[G(s,i[0]),G(s,i[1])];return o.map(d=>[d[0]+a[0],d[1]+a[1],d[2]])}async estimateHands(e,n){let r=!1,A;(this.skipped===0||this.skipped>n.hand.skipFrames||!n.hand.landmarks||!n.videoOptimized)&&(A=await this.handDetector.estimateHandBounds(e,n),this.skipped=0),n.videoOptimized&&this.skipped++,A&&A.length>0&&(A.length!==this.detectedHands&&this.detectedHands!==n.hand.maxHands||!n.hand.landmarks)&&(this.detectedHands=0,this.storedBoxes=[...A],this.storedBoxes.length>0&&(r=!0));let c=[];for(let _=0;_=n.hand.minConfidence){let X=Pe.reshape(Z,[-1,3]),F=X.arraySync();Z.dispose(),X.dispose();let f=this.transformRawCoords(F,d,x,a),w=this.getBoxForHandLandmarks(f);this.storedBoxes[_]=w;let m={landmarks:f,confidence:V,box:{topLeft:w.startPoint,bottomRight:w.endPoint}};c.push(m)}else this.storedBoxes[_]=null;Z.dispose()}else{let x=Te(ve(h),v0),o={confidence:h.confidence,box:{topLeft:x.startPoint,bottomRight:x.endPoint}};c.push(o)}}return this.storedBoxes=this.storedBoxes.filter(_=>_!==null),this.detectedHands=c.length,c}calculateLandmarksBoundingBox(e){let n=e.map(_=>_[0]),r=e.map(_=>_[1]),A=[Math.min(...n),Math.min(...r)],c=[Math.max(...n),Math.max(...r)];return{startPoint:A,endPoint:c}}};var 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b1(e,t.hand.inputSize,R0),A=new v1(r,n,t.hand.inputSize),c=new z1(A);return t.hand.enabled&&u(`load model: ${t.hand.detector.modelPath.match(/\/(.*)\./)[1]}`),t.hand.landmarks&&u(`load model: ${t.hand.skeleton.modelPath.match(/\/(.*)\./)[1]}`),c}var E0=t=>{if(!t)return[];let e=[];for(let n=0;nx.part==="leftWrist"),A=t[n].keypoints.find(x=>x.part==="rightWrist"),c=t[n].keypoints.find(x=>x.part==="nose");c&&r&&A&&r.position.yx.part==="leftShoulder"),h=t[n].keypoints.find(x=>x.part==="rightShoulder");_&&h&&e.push({body:n,gesture:`leaning ${_.position.y>h.position.y?"left":"right"}`})}return e},z0=t=>{if(!t)return[];let e=[];for(let n=0;n0){let r=t[n].mesh[35][2]-t[n].mesh[263][2];Math.abs(r)<10?e.push({face:n,gesture:"facing camera"}):e.push({face:n,gesture:`facing ${r<0?"right":"left"}`}),Math.abs(t[n].mesh[374][1]-t[n].mesh[386][1])/Math.abs(t[n].mesh[443][1]-t[n].mesh[450][1])<.2&&e.push({face:n,gesture:"blink left eye"}),Math.abs(t[n].mesh[145][1]-t[n].mesh[159][1])/Math.abs(t[n].mesh[223][1]-t[n].mesh[230][1])<.2&&e.push({face:n,gesture:"blink right eye"});let _=Math.min(100,500*Math.abs(t[n].mesh[13][1]-t[n].mesh[14][1])/Math.abs(t[n].mesh[10][1]-t[n].mesh[152][1]));_>10&&e.push({face:n,gesture:`mouth ${Math.trunc(_)}% open`});let h=t[n].mesh[152][2];Math.abs(h)>10&&e.push({face:n,gesture:`head ${h<0?"up":"down"}`})}return e},M0=t=>{if(!t)return[];let e=[];for(let n=0;n{if(!t)return[];let e=[];for(let n=0;n0){let A=r.reduce((_,h)=>_.position[2]_.position[1](o[a]=0,s))},A=function(h,x){let o=t.createShader(x);if(t.shaderSource(o,h),t.compileShader(o),!t.getShaderParameter(o,t.COMPILE_STATUS))throw new Error("Filter: GL compile failed",t.getShaderInfoLog(o));return o};this.uniform={},this.attribute={};let 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n=Math.PI/2-Math.atan2(-(e[1]-t[1]),e[0]-t[0]);return A5(n)}var b0=(t,e)=>[[1,0,t],[0,1,e],[0,0,1]];function G(t,e){let n=0;for(let r=0;rT1([...c,1],n)),A=this.calculateLandmarksBoundingBox(r);return Te(ve(A),_5)}getBoxForHandLandmarks(e){let n=this.calculateLandmarksBoundingBox(e),r=Te(ve(n),v0);r.palmLandmarks=[];for(let A=0;A[_[0]*(d[0]-this.inputSize/2),_[1]*(d[1]-this.inputSize/2),_[2]*d[2]]),x=g1(r,[0,0]),o=h.map(d=>[...T1(d,x),d[2]]),i=T0(A),s=[...he(n),1],a=[G(s,i[0]),G(s,i[1])];return o.map(d=>[d[0]+a[0],d[1]+a[1],d[2]])}async estimateHands(e,n){let r=!1,A;(this.skipped===0||this.skipped>n.hand.skipFrames||!n.hand.landmarks||!n.videoOptimized)&&(A=await this.handDetector.estimateHandBounds(e,n),this.skipped=0),n.videoOptimized&&this.skipped++,A&&A.length>0&&(A.length!==this.detectedHands&&this.detectedHands!==n.hand.maxHands||!n.hand.landmarks)&&(this.detectedHands=0,this.storedBoxes=[...A],this.storedBoxes.length>0&&(r=!0));let c=[];for(let _=0;_=n.hand.minConfidence){let X=Pe.reshape(Z,[-1,3]),F=X.arraySync();Z.dispose(),X.dispose();let f=this.transformRawCoords(F,d,x,a),w=this.getBoxForHandLandmarks(f);this.storedBoxes[_]=w;let m={landmarks:f,confidence:V,box:{topLeft:w.startPoint,bottomRight:w.endPoint}};c.push(m)}else this.storedBoxes[_]=null;Z.dispose()}else{let x=Te(ve(h),v0),o={confidence:h.confidence,box:{topLeft:x.startPoint,bottomRight:x.endPoint}};c.push(o)}}return this.storedBoxes=this.storedBoxes.filter(_=>_!==null),this.detectedHands=c.length,c}calculateLandmarksBoundingBox(e){let n=e.map(_=>_[0]),r=e.map(_=>_[1]),A=[Math.min(...n),Math.min(...r)],c=[Math.max(...n),Math.max(...r)];return{startPoint:A,endPoint:c}}};var 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b1(e,t.hand.inputSize,R0),A=new v1(r,n,t.hand.inputSize),c=new z1(A);return t.hand.enabled&&u(`load model: ${t.hand.detector.modelPath.match(/\/(.*)\./)[1]}`),t.hand.landmarks&&u(`load model: ${t.hand.skeleton.modelPath.match(/\/(.*)\./)[1]}`),c}var E0=t=>{if(!t)return[];let e=[];for(let n=0;nx.part==="leftWrist"),A=t[n].keypoints.find(x=>x.part==="rightWrist"),c=t[n].keypoints.find(x=>x.part==="nose");c&&r&&A&&r.position.yx.part==="leftShoulder"),h=t[n].keypoints.find(x=>x.part==="rightShoulder");_&&h&&e.push({body:n,gesture:`leaning ${_.position.y>h.position.y?"left":"right"}`})}return e},z0=t=>{if(!t)return[];let e=[];for(let n=0;n0){let r=t[n].mesh[35][2]-t[n].mesh[263][2];Math.abs(r)<10?e.push({face:n,gesture:"facing camera"}):e.push({face:n,gesture:`facing ${r<0?"right":"left"}`}),Math.abs(t[n].mesh[374][1]-t[n].mesh[386][1])/Math.abs(t[n].mesh[443][1]-t[n].mesh[450][1])<.2&&e.push({face:n,gesture:"blink left eye"}),Math.abs(t[n].mesh[145][1]-t[n].mesh[159][1])/Math.abs(t[n].mesh[223][1]-t[n].mesh[230][1])<.2&&e.push({face:n,gesture:"blink right eye"});let _=Math.min(100,500*Math.abs(t[n].mesh[13][1]-t[n].mesh[14][1])/Math.abs(t[n].mesh[10][1]-t[n].mesh[152][1]));_>10&&e.push({face:n,gesture:`mouth ${Math.trunc(_)}% open`});let h=t[n].mesh[152][2];Math.abs(h)>10&&e.push({face:n,gesture:`head ${h<0?"up":"down"}`})}return e},M0=t=>{if(!t)return[];let e=[];for(let n=0;n{if(!t)return[];let e=[];for(let n=0;n0){let A=r.reduce((_,h)=>_.position[2]_.position[1](o[a]=0,s))},A=function(h,x){let o=t.createShader(x);if(t.shaderSource(o,h),t.compileShader(o),!t.getShaderParameter(o,t.COMPILE_STATUS))throw new Error("Filter: GL compile failed",t.getShaderInfoLog(o));return o};this.uniform={},this.attribute={};let 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Scope:"),A=T();let i=N0(e,this.config);if(!i||!i.tensor){u("could not convert input to tensor"),r({error:"could not convert input to tensor"});return}this.perf.image=Math.trunc(T()-A),this.analyze("Get Image:"),this.config.async?(x=this.config.face.enabled?this.detectFace(i.tensor):[],this.perf.face&&delete this.perf.face):(this.state="run:face",A=T(),x=this.config.face.enabled?await this.detectFace(i.tensor):[],this.perf.face=Math.trunc(T()-A)),this.analyze("Start Body:"),this.config.async?(_=this.config.body.enabled?(a=this.models.posenet)==null?void 0:a.estimatePoses(i.tensor,this.config):[],this.perf.body&&delete this.perf.body):(this.state="run:body",A=T(),_=this.config.body.enabled?await((d=this.models.posenet)==null?void 0:d.estimatePoses(i.tensor,this.config)):[],this.perf.body=Math.trunc(T()-A)),this.analyze("End Body:"),this.analyze("Start Hand:"),this.config.async?(h=this.config.hand.enabled?(l=this.models.handpose)==null?void 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createImageBitmap(n);r=await this.detect(A,this.config),A.close()}return r}async warmupCanvas(){return new Promise(e=>{let n,r=0;switch(this.config.warmup){case"face":r=256,n="data:image/jpeg;base64,"+Re;break;case"full":r=1200,n="data:image/jpeg;base64,"+Ee;break;default:n=null}let A=new Image(r,r);A.onload=()=>{let c=typeof OffscreenCanvas!="undefined"?new OffscreenCanvas(r,r):document.createElement("canvas");c.width=r,c.height=r;let _=c.getContext("2d");_==null||_.drawImage(A,0,0);let h=_==null?void 0:_.getImageData(0,0,r,r);this.detect(h,this.config).then(x=>e(x))},n?A.src=n:e(null)})}async warmupNode(){let e=_=>Buffer.from(_,"base64"),n=this.config.warmup==="face"?e(Re):e(Ee),r=Q0.node.decodeJpeg(n),A=r.expandDims(0);this.tf.dispose(r);let c=await this.detect(A,this.config);return this.tf.dispose(A),c}async warmup(e){let n=T();e&&(this.config=xe(this.config,e));let r=this.config.videoOptimized;this.config.videoOptimized=!1;let A;typeof createImageBitmap=="function"?A=await this.warmupBitmap():typeof Image!="undefined"?A=await this.warmupCanvas():A=await this.warmupNode(),this.config.videoOptimized=r;let c=T();return u("Warmup",this.config.warmup,Math.round(c-n),"ms",A),A}}; +2Q==`;var S1={};Y(S1,{author:()=>H0,browser:()=>L0,bugs:()=>F0,default:()=>s5,dependencies:()=>U0,description:()=>I0,devDependencies:()=>D0,engines:()=>B0,homepage:()=>q0,keywords:()=>G0,license:()=>Y0,main:()=>V0,module:()=>X0,name:()=>O0,peerDependencies:()=>K0,repository:()=>J0,scripts:()=>C0,sideEffects:()=>Z0,types:()=>k0,version:()=>W1});var O0="@vladmandic/human",W1="0.20.5",I0="Human: AI-powered 3D Face Detection, Face Embedding & Recognition, Body Pose Tracking, Hand & Finger Tracking, Iris Analysis, Age & Gender & Emotion Prediction & Gesture Recognition",Z0=!1,V0="dist/human.node.js",X0="dist/human.esm.js",L0="dist/human.esm.js",k0="types/human.d.ts",H0="Vladimir Mandic ",F0={url:"https://github.com/vladmandic/human/issues"},q0="https://github.com/vladmandic/human#readme",Y0="MIT",B0={node:">=12.0.0"},J0={type:"git",url:"git+https://github.com/vladmandic/human.git"},U0={},K0={},D0={"@tensorflow/tfjs":"^3.1.0","@tensorflow/tfjs-backend-cpu":"^3.1.0","@tensorflow/tfjs-backend-wasm":"^3.1.0","@tensorflow/tfjs-backend-webgl":"^3.1.0","@tensorflow/tfjs-converter":"^3.1.0","@tensorflow/tfjs-core":"^3.1.0","@tensorflow/tfjs-data":"^3.1.0","@tensorflow/tfjs-layers":"^3.1.0","@tensorflow/tfjs-node":"^3.1.0","@tensorflow/tfjs-node-gpu":"^3.1.0","@types/node":"^14.14.31","@typescript-eslint/eslint-plugin":"^4.15.1","@typescript-eslint/parser":"^4.15.1","@vladmandic/pilogger":"^0.2.14",chokidar:"^3.5.1",dayjs:"^1.10.4",esbuild:"^0.8.50",eslint:"^7.20.0","eslint-config-airbnb-base":"^14.2.1","eslint-plugin-import":"^2.22.1","eslint-plugin-json":"^2.1.2","eslint-plugin-node":"^11.1.0","eslint-plugin-promise":"^4.3.1",rimraf:"^3.0.2",seedrandom:"^3.0.5","simple-git":"^2.35.1",tslib:"^2.1.0",typescript:"^4.3.0-dev.20210221"},C0={start:"node --trace-warnings --unhandled-rejections=strict --trace-uncaught --no-deprecation src/node.js",lint:"eslint src demo server",dev:"npm install && node server/serve.js",build:"rimraf dist/* && rimraf types/* && node server/build.js && node server/changelog.js",update:"npm update --depth 20 --force && npm dedupe && npm prune && npm audit"},G0=["tensorflowjs","face-detection","face-geometry","face-embedding","face-recognition","body-tracking","hand-tracking","iris-tracking","age-estimation","emotion-detection","gender-prediction","gesture-recognition"],s5={name:O0,version:W1,description:I0,sideEffects:Z0,main:V0,module:X0,browser:L0,types:k0,author:H0,bugs:F0,homepage:q0,license:Y0,engines:B0,repository:J0,dependencies:U0,peerDependencies:K0,devDependencies:D0,scripts:C0,keywords:G0};var T=()=>typeof performance!="undefined"?performance.now():parseInt((Number(process.hrtime.bigint())/1e3/1e3).toString());function xe(...t){let e=n=>n&&typeof n=="object";return t.reduce((n,r)=>(Object.keys(r||{}).forEach(A=>{let c=n[A],_=r[A];Array.isArray(c)&&Array.isArray(_)?n[A]=c.concat(..._):e(c)&&e(_)?n[A]=xe(c,_):n[A]=_}),n),{})}var et=class{constructor(e={}){this.tf=Q0,this.package=S1,this.version=W1,this.config=xe(j0,e),this.fx=null,this.state="idle",this.numTensors=0,this.analyzeMemoryLeaks=!1,this.checkSanity=!1,this.firstRun=!0,this.perf={},this.models={facemesh:null,posenet:null,handpose:null,iris:null,age:null,gender:null,emotion:null},this.facemesh=$0,this.age=Be,this.gender=Ke,this.emotion=e1,this.body=m1,this.hand=P1}profile(){return this.config.profile?Fe:{}}analyze(...e){if(!this.analyzeMemoryLeaks)return;let n=this.tf.engine().state.numTensors,r=this.numTensors;this.numTensors=n;let A=n-r;A!==0&&u(...e,A)}sanity(e){if(!this.checkSanity)return null;if(!e)return"input is not defined";if(this.tf.ENV.flags.IS_NODE&&!(e instanceof this.tf.Tensor))return"input must be a tensor";try{this.tf.getBackend()}catch(n){return"backend not loaded"}return null}simmilarity(e,n){return this.config.face.embedding.enabled?$1(e,n):0}async load(e=null){this.state="load";let n=T();e&&(this.config=xe(this.config,e)),this.firstRun&&(u(`version: ${this.version} TensorFlow/JS version: ${this.tf.version_core}`),await this.checkBackend(!0),this.tf.ENV.flags.IS_BROWSER&&(u("configuration:",this.config),u("tf flags:",this.tf.ENV.flags)));let r=this.config.face.detector.modelPath.includes("faceboxes")?qe:$0;this.config.async?[this.models.face,this.models.age,this.models.gender,this.models.emotion,this.models.embedding,this.models.posenet,this.models.handpose]=await Promise.all([this.models.face||(this.config.face.enabled?r.load(this.config):null),this.models.age||(this.config.face.enabled&&this.config.face.age.enabled?Je(this.config):null),this.models.gender||(this.config.face.enabled&&this.config.face.gender.enabled?Qe(this.config):null),this.models.emotion||(this.config.face.enabled&&this.config.face.emotion.enabled?r1(this.config):null),this.models.embedding||(this.config.face.enabled&&this.config.face.embedding.enabled?c1(this.config):null),this.models.posenet||(this.config.body.enabled?p1(this.config):null),this.models.handpose||(this.config.hand.enabled?M1(this.config):null)]):(this.config.face.enabled&&!this.models.face&&(this.models.face=await r.load(this.config)),this.config.face.enabled&&this.config.face.age.enabled&&!this.models.age&&(this.models.age=await Je(this.config)),this.config.face.enabled&&this.config.face.gender.enabled&&!this.models.gender&&(this.models.gender=await Qe(this.config)),this.config.face.enabled&&this.config.face.emotion.enabled&&!this.models.emotion&&(this.models.emotion=await r1(this.config)),this.config.face.enabled&&this.config.face.embedding.enabled&&!this.models.embedding&&(this.models.embedding=await c1(this.config)),this.config.body.enabled&&!this.models.posenet&&(this.models.posenet=await p1(this.config)),this.config.hand.enabled&&!this.models.handpose&&(this.models.handpose=await M1(this.config))),this.firstRun&&(u("tf engine state:",this.tf.engine().state.numBytes,"bytes",this.tf.engine().state.numTensors,"tensors"),this.firstRun=!1);let A=Math.trunc(T()-n);A>(this.perf.load||0)&&(this.perf.load=A)}async checkBackend(e=!1){if(this.config.backend&&this.config.backend!==""&&e||this.tf.getBackend()!==this.config.backend){let n=T();this.state="backend",u("setting backend:",this.config.backend),this.config.backend==="wasm"&&(u("settings wasm path:",this.config.wasmPath),this.tf.setWasmPaths(this.config.wasmPath),await this.tf.env().getAsync("WASM_HAS_SIMD_SUPPORT")||u("warning: wasm simd support is not enabled")),this.config.backend==="humangl"&&X1();try{await this.tf.setBackend(this.config.backend)}catch(r){u("error: cannot set backend:",this.config.backend,r)}if(this.tf.enableProdMode(),this.tf.getBackend()==="webgl"){this.config.deallocate&&(u("changing webgl: WEBGL_DELETE_TEXTURE_THRESHOLD:",this.config.deallocate),this.tf.ENV.set("WEBGL_DELETE_TEXTURE_THRESHOLD",this.config.deallocate?0:-1)),this.tf.ENV.set("WEBGL_FORCE_F16_TEXTURES",!0),this.tf.ENV.set("WEBGL_PACK_DEPTHWISECONV",!0);let r=await this.tf.backend().getGPGPUContext().gl;u(`gl version:${r.getParameter(r.VERSION)} renderer:${r.getParameter(r.RENDERER)}`)}await this.tf.ready(),this.perf.backend=Math.trunc(T()-n)}}async detectFace(e){var o,i,s,a,d,l;let n,r,A,c,_,h=[];this.state="run:face",n=T();let x=await((o=this.models.face)==null?void 0:o.estimateFaces(e,this.config));this.perf.face=Math.trunc(T()-n);for(let y of x){if(this.analyze("Get Face"),!y.image||y.image.isDisposedInternal){u("Face object is disposed:",y.image);continue}this.analyze("Start Age:"),this.config.async?r=this.config.face.age.enabled?Ue(y.image,this.config):{}:(this.state="run:age",n=T(),r=this.config.face.age.enabled?await Ue(y.image,this.config):{},this.perf.age=Math.trunc(T()-n)),this.analyze("Start Gender:"),this.config.async?A=this.config.face.gender.enabled?$e(y.image,this.config):{}:(this.state="run:gender",n=T(),A=this.config.face.gender.enabled?await $e(y.image,this.config):{},this.perf.gender=Math.trunc(T()-n)),this.analyze("Start Emotion:"),this.config.async?c=this.config.face.emotion.enabled?A1(y.image,this.config):{}:(this.state="run:emotion",n=T(),c=this.config.face.emotion.enabled?await A1(y.image,this.config):{},this.perf.emotion=Math.trunc(T()-n)),this.analyze("End Emotion:"),this.analyze("Start Embedding:"),this.config.async?_=this.config.face.embedding.enabled?_1(y.image,this.config):{}:(this.state="run:embedding",n=T(),_=this.config.face.embedding.enabled?await _1(y.image,this.config):{},this.perf.embedding=Math.trunc(T()-n)),this.analyze("End Emotion:"),this.config.async&&([r,A,c,_]=await Promise.all([r,A,c,_])),this.analyze("Finish Face:"),!this.config.face.iris.enabled&&((i=y==null?void 0:y.annotations)==null?void 0:i.leftEyeIris)&&((s=y==null?void 0:y.annotations)==null?void 0:s.rightEyeIris)&&(delete y.annotations.leftEyeIris,delete y.annotations.rightEyeIris);let O=((a=y.annotations)==null?void 0:a.leftEyeIris)&&((d=y.annotations)==null?void 0:d.rightEyeIris)?11.7*Math.max(Math.abs(y.annotations.leftEyeIris[3][0]-y.annotations.leftEyeIris[1][0]),Math.abs(y.annotations.rightEyeIris[4][1]-y.annotations.rightEyeIris[2][1])):0;h.push({confidence:y.confidence,box:y.box,mesh:y.mesh,boxRaw:y.boxRaw,meshRaw:y.meshRaw,annotations:y.annotations,age:r.age,gender:A.gender,genderConfidence:A.confidence,emotion:c,embedding:_,iris:O!==0?Math.trunc(O)/100:0}),(l=y.image)==null||l.dispose(),this.analyze("End Face")}return this.analyze("End FaceMesh:"),this.config.async&&(this.perf.face&&delete this.perf.face,this.perf.age&&delete this.perf.age,this.perf.gender&&delete this.perf.gender,this.perf.emotion&&delete this.perf.emotion),h}async detect(e,n={}){return new Promise(async r=>{var a,d,l,y;this.state="config";let A;this.config=xe(this.config,n),this.state="check";let c=this.sanity(e);c&&(u(c,e),r({error:c}));let _,h,x,o=T();await this.checkBackend(),await this.load(),this.config.scoped&&this.tf.engine().startScope(),this.analyze("Start Scope:"),A=T();let i=N0(e,this.config);if(!i||!i.tensor){u("could not convert input to tensor"),r({error:"could not convert input to tensor"});return}this.perf.image=Math.trunc(T()-A),this.analyze("Get Image:"),this.config.async?(x=this.config.face.enabled?this.detectFace(i.tensor):[],this.perf.face&&delete this.perf.face):(this.state="run:face",A=T(),x=this.config.face.enabled?await this.detectFace(i.tensor):[],this.perf.face=Math.trunc(T()-A)),this.analyze("Start Body:"),this.config.async?(_=this.config.body.enabled?(a=this.models.posenet)==null?void 0:a.estimatePoses(i.tensor,this.config):[],this.perf.body&&delete this.perf.body):(this.state="run:body",A=T(),_=this.config.body.enabled?await((d=this.models.posenet)==null?void 0:d.estimatePoses(i.tensor,this.config)):[],this.perf.body=Math.trunc(T()-A)),this.analyze("End Body:"),this.analyze("Start Hand:"),this.config.async?(h=this.config.hand.enabled?(l=this.models.handpose)==null?void 0:l.estimateHands(i.tensor,this.config):[],this.perf.hand&&delete this.perf.hand):(this.state="run:hand",A=T(),h=this.config.hand.enabled?await((y=this.models.handpose)==null?void 0:y.estimateHands(i.tensor,this.config)):[],this.perf.hand=Math.trunc(T()-A)),this.analyze("End Hand:"),this.config.async&&([x,_,h]=await Promise.all([x,_,h])),i.tensor.dispose(),this.config.scoped&&this.tf.engine().endScope(),this.analyze("End Scope:");let s=[];this.config.gesture.enabled&&(A=T(),s=[...z0(x),...E0(_),...S0(h),...M0(x)],this.config.async?this.perf.gesture&&delete this.perf.gesture:this.perf.gesture=Math.trunc(T()-A)),this.perf.total=Math.trunc(T()-o),this.state="idle",r({face:x,body:_,hand:h,gesture:s,performance:this.perf,canvas:i.canvas})})}async warmupBitmap(){let e=(A,c="application/octet-stream")=>fetch(`data:${c};base64,${A}`).then(_=>_.blob()),n,r;switch(this.config.warmup){case"face":n=await e(Re);break;case"full":n=await e(Ee);break;default:n=null}if(n){let A=await createImageBitmap(n);r=await this.detect(A,this.config),A.close()}return r}async warmupCanvas(){return new Promise(e=>{let n,r=0;switch(this.config.warmup){case"face":r=256,n="data:image/jpeg;base64,"+Re;break;case"full":r=1200,n="data:image/jpeg;base64,"+Ee;break;default:n=null}let A=new Image(r,r);A.onload=()=>{let c=typeof OffscreenCanvas!="undefined"?new OffscreenCanvas(r,r):document.createElement("canvas");c.width=r,c.height=r;let _=c.getContext("2d");_==null||_.drawImage(A,0,0);let h=_==null?void 0:_.getImageData(0,0,r,r);this.detect(h,this.config).then(x=>e(x))},n?A.src=n:e(null)})}async warmupNode(){let e=_=>Buffer.from(_,"base64"),n=this.config.warmup==="face"?e(Re):e(Ee),r=Q0.node.decodeJpeg(n),A=r.expandDims(0);this.tf.dispose(r);let c=await this.detect(A,this.config);return this.tf.dispose(A),c}async warmup(e){let n=T();e&&(this.config=xe(this.config,e));let r=this.config.videoOptimized;this.config.videoOptimized=!1;let A;typeof createImageBitmap=="function"?A=await this.warmupBitmap():typeof Image!="undefined"?A=await this.warmupCanvas():A=await this.warmupNode(),this.config.videoOptimized=r;let c=T();return u("Warmup",this.config.warmup,Math.round(c-n),"ms",A),A}}; //# sourceMappingURL=human.node.js.map diff --git a/dist/human.node.js.map b/dist/human.node.js.map index e7c2886d..d4b60522 100644 --- a/dist/human.node.js.map +++ b/dist/human.node.js.map @@ -1,7 +1,7 @@ { "version": 3, "sources": ["../src/tfjs/tf-node.ts", "../src/blazeface/facemesh.ts", "../src/posenet/keypoints.ts", "../src/human.ts", "../src/log.ts", "../src/tfjs/backend.ts", "../src/blazeface/blazeface.ts", "../src/blazeface/facepipeline.ts", "../src/blazeface/box.ts", "../src/blazeface/util.ts", "../src/blazeface/coords.ts", "../src/faceboxes/faceboxes.ts", "../src/profile.ts", "../src/age/age.ts", "../src/gender/gender.ts", "../src/emotion/emotion.ts", "../src/embedding/embedding.ts", "../src/posenet/posenet.ts", "../src/posenet/modelBase.ts", "../src/posenet/heapSort.ts", "../src/posenet/buildParts.ts", "../src/posenet/decodePose.ts", "../src/posenet/vectors.ts", "../src/posenet/decoders.ts", "../src/posenet/decodeMultiple.ts", "../src/posenet/util.ts", "../src/handpose/handpose.ts", "../src/handpose/handdetector.ts", "../src/handpose/box.ts", "../src/handpose/handpipeline.ts", "../src/handpose/util.ts", "../src/handpose/anchors.ts", "../src/gesture/gesture.ts", "../src/image.ts", "../src/imagefx.js", "../config.js", "../src/sample.ts"], - "sourcesContent": ["export * from '@tensorflow/tfjs-node';\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as blazeface from './blazeface';\nimport * as facepipeline from './facepipeline';\nimport * as coords from './coords';\n\nexport class MediaPipeFaceMesh {\n facePipeline: any;\n config: any;\n\n constructor(blazeFace, blazeMeshModel, irisModel, config) {\n this.facePipeline = new facepipeline.Pipeline(blazeFace, blazeMeshModel, irisModel, config);\n this.config = config;\n }\n\n async estimateFaces(input, config) {\n const predictions = await this.facePipeline.predict(input, config);\n const results: Array<{}> = [];\n for (const prediction of (predictions || [])) {\n if (prediction.isDisposedInternal) continue; // guard against disposed tensors on long running operations such as pause in middle of processing\n const mesh = prediction.coords ? prediction.coords.arraySync() : null;\n const meshRaw = prediction.rawCoords;\n const annotations = {};\n if (mesh && mesh.length > 0) {\n for (const key of Object.keys(coords.MESH_ANNOTATIONS)) {\n annotations[key] = coords.MESH_ANNOTATIONS[key].map((index) => mesh[index]);\n }\n }\n const boxRaw = (config.face.mesh.returnRawData && prediction.box) ? { topLeft: prediction.box.startPoint, bottomRight: prediction.box.endPoint } : null;\n const box = prediction.box ? [\n Math.max(0, prediction.box.startPoint[0]),\n Math.max(0, prediction.box.startPoint[1]),\n Math.min(input.shape[2], prediction.box.endPoint[0]) - prediction.box.startPoint[0],\n Math.min(input.shape[1], prediction.box.endPoint[1]) - prediction.box.startPoint[1],\n ] : 0;\n results.push({ confidence: prediction.confidence || 0, box, mesh, boxRaw, meshRaw, annotations, image: prediction.image ? tf.clone(prediction.image) : null });\n if (prediction.coords) prediction.coords.dispose();\n if (prediction.image) prediction.image.dispose();\n }\n return results;\n }\n}\n\nlet faceModels = [null, null, null];\nexport async function load(config) {\n // @ts-ignore\n faceModels = await Promise.all([\n (!faceModels[0] && config.face.enabled) ? blazeface.load(config) : null,\n (!faceModels[1] && config.face.mesh.enabled) ? tf.loadGraphModel(config.face.mesh.modelPath, { fromTFHub: config.face.mesh.modelPath.includes('tfhub.dev') }) : null,\n (!faceModels[2] && config.face.iris.enabled) ? tf.loadGraphModel(config.face.iris.modelPath, { fromTFHub: config.face.iris.modelPath.includes('tfhub.dev') }) : null,\n ]);\n const faceMesh = new MediaPipeFaceMesh(faceModels[0], faceModels[1], faceModels[2], config);\n if (config.face.mesh.enabled) log(`load model: ${config.face.mesh.modelPath.match(/\\/(.*)\\./)[1]}`);\n if (config.face.iris.enabled) log(`load model: ${config.face.iris.modelPath.match(/\\/(.*)\\./)[1]}`);\n return faceMesh;\n}\n\nexports.triangulation = coords.TRI468;\n", "export const partNames = [\n 'nose', 'leftEye', 'rightEye', 'leftEar', 'rightEar', 'leftShoulder',\n 'rightShoulder', 'leftElbow', 'rightElbow', 'leftWrist', 'rightWrist',\n 'leftHip', 'rightHip', 'leftKnee', 'rightKnee', 'leftAnkle', 'rightAnkle',\n];\n\nexport const NUM_KEYPOINTS = exports.partNames.length;\n\nexport const partIds = exports.partNames.reduce((result, jointName, i) => {\n result[jointName] = i;\n return result;\n}, {});\n\nconst connectedPartNames = [\n ['leftHip', 'leftShoulder'], ['leftElbow', 'leftShoulder'],\n ['leftElbow', 'leftWrist'], ['leftHip', 'leftKnee'],\n ['leftKnee', 'leftAnkle'], ['rightHip', 'rightShoulder'],\n ['rightElbow', 'rightShoulder'], ['rightElbow', 'rightWrist'],\n ['rightHip', 'rightKnee'], ['rightKnee', 'rightAnkle'],\n ['leftShoulder', 'rightShoulder'], ['leftHip', 'rightHip'],\n];\nexport const connectedPartIndices = connectedPartNames.map(([jointNameA, jointNameB]) => ([partIds[jointNameA], partIds[jointNameB]]));\n\nexport const poseChain = [\n ['nose', 'leftEye'], ['leftEye', 'leftEar'], ['nose', 'rightEye'],\n ['rightEye', 'rightEar'], ['nose', 'leftShoulder'],\n ['leftShoulder', 'leftElbow'], ['leftElbow', 'leftWrist'],\n ['leftShoulder', 'leftHip'], ['leftHip', 'leftKnee'],\n ['leftKnee', 'leftAnkle'], ['nose', 'rightShoulder'],\n ['rightShoulder', 'rightElbow'], ['rightElbow', 'rightWrist'],\n ['rightShoulder', 'rightHip'], ['rightHip', 'rightKnee'],\n ['rightKnee', 'rightAnkle'],\n];\n\nexport const partChannels = [\n 'left_face',\n 'right_face',\n 'right_upper_leg_front',\n 'right_lower_leg_back',\n 'right_upper_leg_back',\n 'left_lower_leg_front',\n 'left_upper_leg_front',\n 'left_upper_leg_back',\n 'left_lower_leg_back',\n 'right_feet',\n 'right_lower_leg_front',\n 'left_feet',\n 'torso_front',\n 'torso_back',\n 'right_upper_arm_front',\n 'right_upper_arm_back',\n 'right_lower_arm_back',\n 'left_lower_arm_front',\n 'left_upper_arm_front',\n 'left_upper_arm_back',\n 'left_lower_arm_back',\n 'right_hand',\n 'right_lower_arm_front',\n 'left_hand',\n];\n", "import { log } from './log';\nimport * as tf from '../dist/tfjs.esm.js';\nimport * as backend from './tfjs/backend';\nimport * as facemesh from './blazeface/facemesh';\nimport * as faceboxes from './faceboxes/faceboxes';\nimport * as age from './age/age';\nimport * as gender from './gender/gender';\nimport * as emotion from './emotion/emotion';\nimport * as embedding from './embedding/embedding';\nimport * as posenet from './posenet/posenet';\nimport * as handpose from './handpose/handpose';\nimport * as gesture from './gesture/gesture';\nimport * as image from './image';\nimport * as profile from './profile';\nimport * as config from '../config';\nimport * as sample from './sample';\nimport * as app from '../package.json';\n\n// helper function: gets elapsed time on both browser and nodejs\nconst now = () => {\n if (typeof performance !== 'undefined') return performance.now();\n return parseInt((Number(process.hrtime.bigint()) / 1000 / 1000).toString());\n};\n\n// helper function: perform deep merge of multiple objects so it allows full inheriance with overrides\nfunction mergeDeep(...objects) {\n const isObject = (obj) => obj && typeof obj === 'object';\n return objects.reduce((prev, obj) => {\n Object.keys(obj || {}).forEach((key) => {\n const pVal = prev[key];\n const oVal = obj[key];\n if (Array.isArray(pVal) && Array.isArray(oVal)) {\n prev[key] = pVal.concat(...oVal);\n } else if (isObject(pVal) && isObject(oVal)) {\n prev[key] = mergeDeep(pVal, oVal);\n } else {\n prev[key] = oVal;\n }\n });\n return prev;\n }, {});\n}\n\nclass Human {\n tf: any;\n package: any;\n version: string;\n config: any;\n fx: any;\n state: string;\n numTensors: number;\n analyzeMemoryLeaks: boolean;\n checkSanity: boolean;\n firstRun: boolean;\n perf: any;\n models: any;\n // models\n facemesh: any;\n age: any;\n gender: any;\n emotion: any;\n body: any;\n hand: any;\n\n constructor(userConfig = {}) {\n this.tf = tf;\n this.package = app;\n this.version = app.version;\n this.config = mergeDeep(config.default, userConfig);\n this.fx = null;\n this.state = 'idle';\n this.numTensors = 0;\n this.analyzeMemoryLeaks = false;\n this.checkSanity = false;\n this.firstRun = true;\n this.perf = {};\n // object that contains all initialized models\n this.models = {\n facemesh: null,\n posenet: null,\n handpose: null,\n iris: null,\n age: null,\n gender: null,\n emotion: null,\n };\n // export raw access to underlying models\n this.facemesh = facemesh;\n this.age = age;\n this.gender = gender;\n this.emotion = emotion;\n this.body = posenet;\n this.hand = handpose;\n }\n\n profile() {\n if (this.config.profile) return profile.data;\n return {};\n }\n\n // helper function: measure tensor leak\n analyze(...msg) {\n if (!this.analyzeMemoryLeaks) return;\n const current = this.tf.engine().state.numTensors;\n const previous = this.numTensors;\n this.numTensors = current;\n const leaked = current - previous;\n if (leaked !== 0) log(...msg, leaked);\n }\n\n // quick sanity check on inputs\n sanity(input) {\n if (!this.checkSanity) return null;\n if (!input) return 'input is not defined';\n if (this.tf.ENV.flags.IS_NODE && !(input instanceof this.tf.Tensor)) {\n return 'input must be a tensor';\n }\n try {\n this.tf.getBackend();\n } catch {\n return 'backend not loaded';\n }\n return null;\n }\n\n simmilarity(embedding1, embedding2) {\n if (this.config.face.embedding.enabled) return embedding.simmilarity(embedding1, embedding2);\n return 0;\n }\n\n // preload models, not explicitly required as it's done automatically on first use\n async load(userConfig = null) {\n this.state = 'load';\n const timeStamp = now();\n if (userConfig) this.config = mergeDeep(this.config, userConfig);\n\n if (this.firstRun) {\n log(`version: ${this.version} TensorFlow/JS version: ${this.tf.version_core}`);\n await this.checkBackend(true);\n if (this.tf.ENV.flags.IS_BROWSER) {\n log('configuration:', this.config);\n log('tf flags:', this.tf.ENV.flags);\n }\n }\n const face = this.config.face.detector.modelPath.includes('faceboxes') ? faceboxes : facemesh;\n if (this.config.async) {\n [\n this.models.face,\n this.models.age,\n this.models.gender,\n this.models.emotion,\n this.models.embedding,\n this.models.posenet,\n this.models.handpose,\n ] = await Promise.all([\n this.models.face || (this.config.face.enabled ? face.load(this.config) : null),\n this.models.age || ((this.config.face.enabled && this.config.face.age.enabled) ? age.load(this.config) : null),\n this.models.gender || ((this.config.face.enabled && this.config.face.gender.enabled) ? gender.load(this.config) : null),\n this.models.emotion || ((this.config.face.enabled && this.config.face.emotion.enabled) ? emotion.load(this.config) : null),\n this.models.embedding || ((this.config.face.enabled && this.config.face.embedding.enabled) ? embedding.load(this.config) : null),\n this.models.posenet || (this.config.body.enabled ? posenet.load(this.config) : null),\n this.models.handpose || (this.config.hand.enabled ? handpose.load(this.config) : null),\n ]);\n } else {\n if (this.config.face.enabled && !this.models.face) this.models.face = await face.load(this.config);\n if (this.config.face.enabled && this.config.face.age.enabled && !this.models.age) this.models.age = await age.load(this.config);\n if (this.config.face.enabled && this.config.face.gender.enabled && !this.models.gender) this.models.gender = await gender.load(this.config);\n if (this.config.face.enabled && this.config.face.emotion.enabled && !this.models.emotion) this.models.emotion = await emotion.load(this.config);\n if (this.config.face.enabled && this.config.face.embedding.enabled && !this.models.embedding) this.models.embedding = await embedding.load(this.config);\n if (this.config.body.enabled && !this.models.posenet) this.models.posenet = await posenet.load(this.config);\n if (this.config.hand.enabled && !this.models.handpose) this.models.handpose = await handpose.load(this.config);\n }\n\n if (this.firstRun) {\n log('tf engine state:', this.tf.engine().state.numBytes, 'bytes', this.tf.engine().state.numTensors, 'tensors');\n this.firstRun = false;\n }\n\n const current = Math.trunc(now() - timeStamp);\n if (current > (this.perf.load || 0)) this.perf.load = current;\n }\n\n // check if backend needs initialization if it changed\n async checkBackend(force = false) {\n if (this.config.backend && (this.config.backend !== '') && force || (this.tf.getBackend() !== this.config.backend)) {\n const timeStamp = now();\n this.state = 'backend';\n /* force backend reload\n if (this.config.backend in tf.engine().registry) {\n const backendFactory = tf.findBackendFactory(this.config.backend);\n tf.removeBackend(this.config.backend);\n tf.registerBackend(this.config.backend, backendFactory);\n } else {\n log('Backend not registred:', this.config.backend);\n }\n */\n\n log('setting backend:', this.config.backend);\n\n if (this.config.backend === 'wasm') {\n log('settings wasm path:', this.config.wasmPath);\n this.tf.setWasmPaths(this.config.wasmPath);\n const simd = await this.tf.env().getAsync('WASM_HAS_SIMD_SUPPORT');\n if (!simd) log('warning: wasm simd support is not enabled');\n }\n\n if (this.config.backend === 'humangl') backend.register();\n try {\n await this.tf.setBackend(this.config.backend);\n } catch (err) {\n log('error: cannot set backend:', this.config.backend, err);\n }\n this.tf.enableProdMode();\n /* debug mode is really too mcuh\n tf.enableDebugMode();\n */\n if (this.tf.getBackend() === 'webgl') {\n if (this.config.deallocate) {\n log('changing webgl: WEBGL_DELETE_TEXTURE_THRESHOLD:', this.config.deallocate);\n this.tf.ENV.set('WEBGL_DELETE_TEXTURE_THRESHOLD', this.config.deallocate ? 0 : -1);\n }\n this.tf.ENV.set('WEBGL_FORCE_F16_TEXTURES', true);\n this.tf.ENV.set('WEBGL_PACK_DEPTHWISECONV', true);\n const gl = await this.tf.backend().getGPGPUContext().gl;\n log(`gl version:${gl.getParameter(gl.VERSION)} renderer:${gl.getParameter(gl.RENDERER)}`);\n }\n await this.tf.ready();\n this.perf.backend = Math.trunc(now() - timeStamp);\n }\n }\n\n async detectFace(input) {\n // run facemesh, includes blazeface and iris\n // eslint-disable-next-line no-async-promise-executor\n let timeStamp;\n let ageRes;\n let genderRes;\n let emotionRes;\n let embeddingRes;\n const faceRes: Array<{ confidence: number, box: any, mesh: any, meshRaw: any, boxRaw: any, annotations: any, age: number, gender: string, genderConfidence: number, emotion: string, embedding: any, iris: number }> = [];\n this.state = 'run:face';\n timeStamp = now();\n const faces = await this.models.face?.estimateFaces(input, this.config);\n this.perf.face = Math.trunc(now() - timeStamp);\n for (const face of faces) {\n this.analyze('Get Face');\n\n // is something went wrong, skip the face\n if (!face.image || face.image.isDisposedInternal) {\n log('Face object is disposed:', face.image);\n continue;\n }\n\n // run age, inherits face from blazeface\n this.analyze('Start Age:');\n if (this.config.async) {\n ageRes = this.config.face.age.enabled ? age.predict(face.image, this.config) : {};\n } else {\n this.state = 'run:age';\n timeStamp = now();\n ageRes = this.config.face.age.enabled ? await age.predict(face.image, this.config) : {};\n this.perf.age = Math.trunc(now() - timeStamp);\n }\n\n // run gender, inherits face from blazeface\n this.analyze('Start Gender:');\n if (this.config.async) {\n genderRes = this.config.face.gender.enabled ? gender.predict(face.image, this.config) : {};\n } else {\n this.state = 'run:gender';\n timeStamp = now();\n genderRes = this.config.face.gender.enabled ? await gender.predict(face.image, this.config) : {};\n this.perf.gender = Math.trunc(now() - timeStamp);\n }\n\n // run emotion, inherits face from blazeface\n this.analyze('Start Emotion:');\n if (this.config.async) {\n emotionRes = this.config.face.emotion.enabled ? emotion.predict(face.image, this.config) : {};\n } else {\n this.state = 'run:emotion';\n timeStamp = now();\n emotionRes = this.config.face.emotion.enabled ? await emotion.predict(face.image, this.config) : {};\n this.perf.emotion = Math.trunc(now() - timeStamp);\n }\n this.analyze('End Emotion:');\n\n // run emotion, inherits face from blazeface\n this.analyze('Start Embedding:');\n if (this.config.async) {\n embeddingRes = this.config.face.embedding.enabled ? embedding.predict(face.image, this.config) : {};\n } else {\n this.state = 'run:embedding';\n timeStamp = now();\n embeddingRes = this.config.face.embedding.enabled ? await embedding.predict(face.image, this.config) : {};\n this.perf.embedding = Math.trunc(now() - timeStamp);\n }\n this.analyze('End Emotion:');\n\n // if async wait for results\n if (this.config.async) {\n [ageRes, genderRes, emotionRes, embeddingRes] = await Promise.all([ageRes, genderRes, emotionRes, embeddingRes]);\n }\n\n this.analyze('Finish Face:');\n\n // calculate iris distance\n // iris: array[ center, left, top, right, bottom]\n if (!this.config.face.iris.enabled && face?.annotations?.leftEyeIris && face?.annotations?.rightEyeIris) {\n delete face.annotations.leftEyeIris;\n delete face.annotations.rightEyeIris;\n }\n const irisSize = (face.annotations?.leftEyeIris && face.annotations?.rightEyeIris)\n /* average human iris size is 11.7mm */\n ? 11.7 * Math.max(Math.abs(face.annotations.leftEyeIris[3][0] - face.annotations.leftEyeIris[1][0]), Math.abs(face.annotations.rightEyeIris[4][1] - face.annotations.rightEyeIris[2][1]))\n : 0;\n\n // combine results\n faceRes.push({\n confidence: face.confidence,\n box: face.box,\n mesh: face.mesh,\n boxRaw: face.boxRaw,\n meshRaw: face.meshRaw,\n annotations: face.annotations,\n age: ageRes.age,\n gender: genderRes.gender,\n genderConfidence: genderRes.confidence,\n emotion: emotionRes,\n embedding: embeddingRes,\n iris: (irisSize !== 0) ? Math.trunc(irisSize) / 100 : 0,\n // image: face.image.toInt().squeeze(),\n });\n\n // dont need face anymore\n face.image?.dispose();\n this.analyze('End Face');\n }\n this.analyze('End FaceMesh:');\n if (this.config.async) {\n if (this.perf.face) delete this.perf.face;\n if (this.perf.age) delete this.perf.age;\n if (this.perf.gender) delete this.perf.gender;\n if (this.perf.emotion) delete this.perf.emotion;\n }\n return faceRes;\n }\n\n /*\n async processImage(input, userConfig = {}) {\n this.state = 'image';\n this.config = mergeDeep(this.config, userConfig);\n const process = image.process(input, this.config);\n process?.tensor?.dispose();\n return process?.canvas;\n }\n */\n\n // main detect function\n async detect(input, userConfig = {}) {\n // detection happens inside a promise\n return new Promise(async (resolve) => {\n this.state = 'config';\n let timeStamp;\n\n // update configuration\n this.config = mergeDeep(this.config, userConfig);\n\n // sanity checks\n this.state = 'check';\n const error = this.sanity(input);\n if (error) {\n log(error, input);\n resolve({ error });\n }\n\n let poseRes;\n let handRes;\n let faceRes;\n\n const timeStart = now();\n\n // configure backend\n await this.checkBackend();\n\n // load models if enabled\n await this.load();\n\n if (this.config.scoped) this.tf.engine().startScope();\n this.analyze('Start Scope:');\n\n timeStamp = now();\n const process = image.process(input, this.config);\n if (!process || !process.tensor) {\n log('could not convert input to tensor');\n resolve({ error: 'could not convert input to tensor' });\n return;\n }\n this.perf.image = Math.trunc(now() - timeStamp);\n this.analyze('Get Image:');\n\n // run face detection followed by all models that rely on face bounding box: face mesh, age, gender, emotion\n if (this.config.async) {\n faceRes = this.config.face.enabled ? this.detectFace(process.tensor) : [];\n if (this.perf.face) delete this.perf.face;\n } else {\n this.state = 'run:face';\n timeStamp = now();\n faceRes = this.config.face.enabled ? await this.detectFace(process.tensor) : [];\n this.perf.face = Math.trunc(now() - timeStamp);\n }\n\n // run posenet\n this.analyze('Start Body:');\n if (this.config.async) {\n poseRes = this.config.body.enabled ? this.models.posenet?.estimatePoses(process.tensor, this.config) : [];\n if (this.perf.body) delete this.perf.body;\n } else {\n this.state = 'run:body';\n timeStamp = now();\n poseRes = this.config.body.enabled ? await this.models.posenet?.estimatePoses(process.tensor, this.config) : [];\n this.perf.body = Math.trunc(now() - timeStamp);\n }\n this.analyze('End Body:');\n\n // run handpose\n this.analyze('Start Hand:');\n if (this.config.async) {\n handRes = this.config.hand.enabled ? this.models.handpose?.estimateHands(process.tensor, this.config) : [];\n if (this.perf.hand) delete this.perf.hand;\n } else {\n this.state = 'run:hand';\n timeStamp = now();\n handRes = this.config.hand.enabled ? await this.models.handpose?.estimateHands(process.tensor, this.config) : [];\n this.perf.hand = Math.trunc(now() - timeStamp);\n }\n this.analyze('End Hand:');\n\n // if async wait for results\n if (this.config.async) {\n [faceRes, poseRes, handRes] = await Promise.all([faceRes, poseRes, handRes]);\n }\n process.tensor.dispose();\n\n if (this.config.scoped) this.tf.engine().endScope();\n this.analyze('End Scope:');\n\n let gestureRes = [];\n if (this.config.gesture.enabled) {\n timeStamp = now();\n // @ts-ignore\n gestureRes = [...gesture.face(faceRes), ...gesture.body(poseRes), ...gesture.hand(handRes), ...gesture.iris(faceRes)];\n if (!this.config.async) this.perf.gesture = Math.trunc(now() - timeStamp);\n else if (this.perf.gesture) delete this.perf.gesture;\n }\n\n this.perf.total = Math.trunc(now() - timeStart);\n this.state = 'idle';\n resolve({ face: faceRes, body: poseRes, hand: handRes, gesture: gestureRes, performance: this.perf, canvas: process.canvas });\n });\n }\n\n async warmupBitmap() {\n const b64toBlob = (base64, type = 'application/octet-stream') => fetch(`data:${type};base64,${base64}`).then((res) => res.blob());\n let blob;\n let res;\n switch (this.config.warmup) {\n case 'face': blob = await b64toBlob(sample.face); break;\n case 'full': blob = await b64toBlob(sample.body); break;\n default: blob = null;\n }\n if (blob) {\n const bitmap = await createImageBitmap(blob);\n res = await this.detect(bitmap, this.config);\n bitmap.close();\n }\n return res;\n }\n\n async warmupCanvas() {\n return new Promise((resolve) => {\n let src;\n let size = 0;\n switch (this.config.warmup) {\n case 'face':\n size = 256;\n src = 'data:image/jpeg;base64,' + sample.face;\n break;\n case 'full':\n size = 1200;\n src = 'data:image/jpeg;base64,' + sample.body;\n break;\n default:\n src = null;\n }\n const img = new Image(size, size);\n img.onload = () => {\n const canvas = (typeof OffscreenCanvas !== 'undefined') ? new OffscreenCanvas(size, size) : document.createElement('canvas');\n canvas.width = size;\n canvas.height = size;\n const ctx = canvas.getContext('2d');\n ctx?.drawImage(img, 0, 0);\n const data = ctx?.getImageData(0, 0, size, size);\n this.detect(data, this.config).then((res) => resolve(res));\n };\n if (src) img.src = src;\n else resolve(null);\n });\n }\n\n async warmupNode() {\n const atob = (str) => Buffer.from(str, 'base64');\n const img = this.config.warmup === 'face' ? atob(sample.face) : atob(sample.body);\n // @ts-ignore\n const data = tf.node.decodeJpeg(img); // tf.node is only defined when compiling for nodejs\n const expanded = data.expandDims(0);\n this.tf.dispose(data);\n // log('Input:', expanded);\n const res = await this.detect(expanded, this.config);\n this.tf.dispose(expanded);\n return res;\n }\n\n async warmup(userConfig) {\n const t0 = now();\n if (userConfig) this.config = mergeDeep(this.config, userConfig);\n const video = this.config.videoOptimized;\n this.config.videoOptimized = false;\n let res;\n if (typeof createImageBitmap === 'function') res = await this.warmupBitmap();\n else if (typeof Image !== 'undefined') res = await this.warmupCanvas();\n else res = await this.warmupNode();\n this.config.videoOptimized = video;\n const t1 = now();\n log('Warmup', this.config.warmup, Math.round(t1 - t0), 'ms', res);\n return res;\n }\n}\n\nexport { Human as default };\n", "// helper function: wrapper around console output\nexport function log(...msg) {\n const dt = new Date();\n const ts = `${dt.getHours().toString().padStart(2, '0')}:${dt.getMinutes().toString().padStart(2, '0')}:${dt.getSeconds().toString().padStart(2, '0')}.${dt.getMilliseconds().toString().padStart(3, '0')}`;\n // eslint-disable-next-line no-console\n if (msg) console.log(ts, 'Human:', ...msg);\n}\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\n\nexport const config = {\n name: 'humangl',\n priority: 99,\n canvas: null,\n gl: null,\n width: 1024,\n height: 1024,\n webGLattr: { // https://www.khronos.org/registry/webgl/specs/latest/1.0/#5.2\n alpha: false,\n antialias: false,\n premultipliedAlpha: false,\n preserveDrawingBuffer: false,\n depth: false,\n stencil: false,\n failIfMajorPerformanceCaveat: false,\n desynchronized: true,\n },\n};\n\nexport function register() {\n if (!tf.findBackend(config.name)) {\n log('backend registration:', config.name);\n try {\n // @ts-ignore\n config.canvas = (typeof OffscreenCanvas !== 'undefined') ? new OffscreenCanvas(config.width, config.height) : document.createElement('canvas');\n } catch (err) {\n log('error: cannot create canvas:', err);\n return;\n }\n try {\n // @ts-ignore\n config.gl = config.canvas.getContext('webgl2', config.webGLattr);\n } catch (err) {\n log('error: cannot get WebGL2 context:', err);\n return;\n }\n try {\n tf.setWebGLContext(2, config.gl);\n } catch (err) {\n log('error: cannot set WebGL2 context:', err);\n return;\n }\n try {\n const ctx = new tf.GPGPUContext(config.gl);\n tf.registerBackend(config.name, () => new tf.MathBackendWebGL(ctx), config.priority);\n } catch (err) {\n log('error: cannot register WebGL backend:', err);\n return;\n }\n try {\n const kernels = tf.getKernelsForBackend('webgl');\n kernels.forEach((kernelConfig) => {\n const newKernelConfig = { ...kernelConfig, backendName: config.name };\n tf.registerKernel(newKernelConfig);\n });\n } catch (err) {\n log('error: cannot update WebGL backend registration:', err);\n return;\n }\n try {\n tf.ENV.set('WEBGL_VERSION', 2);\n // @ts-ignore\n tf.ENV.set('WEBGL_MAX_TEXTURE_SIZE', config.gl.getParameter(config.gl.MAX_TEXTURE_SIZE));\n tf.ENV.set('WEBGL_FORCE_F16_TEXTURES', true);\n tf.ENV.set('WEBGL_PACK_DEPTHWISECONV', true);\n } catch (err) {\n log('error: cannot set WebGL backend flags:', err);\n return;\n }\n log('backend registered:', config.name);\n }\n}\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\n\nconst NUM_LANDMARKS = 6;\n\nfunction generateAnchors(inputSize) {\n const spec = { strides: [inputSize / 16, inputSize / 8], anchors: [2, 6] };\n const anchors: Array<[number, number]> = [];\n for (let i = 0; i < spec.strides.length; i++) {\n const stride = spec.strides[i];\n const gridRows = Math.floor((inputSize + stride - 1) / stride);\n const gridCols = Math.floor((inputSize + stride - 1) / stride);\n const anchorsNum = spec.anchors[i];\n for (let gridY = 0; gridY < gridRows; gridY++) {\n const anchorY = stride * (gridY + 0.5);\n for (let gridX = 0; gridX < gridCols; gridX++) {\n const anchorX = stride * (gridX + 0.5);\n for (let n = 0; n < anchorsNum; n++) {\n anchors.push([anchorX, anchorY]);\n }\n }\n }\n }\n return anchors;\n}\n\nexport const disposeBox = (box) => {\n box.startEndTensor.dispose();\n box.startPoint.dispose();\n box.endPoint.dispose();\n};\n\nconst createBox = (startEndTensor) => ({\n startEndTensor,\n startPoint: tf.slice(startEndTensor, [0, 0], [-1, 2]),\n endPoint: tf.slice(startEndTensor, [0, 2], [-1, 2]),\n});\n\nfunction decodeBounds(boxOutputs, anchors, inputSize) {\n const boxStarts = tf.slice(boxOutputs, [0, 1], [-1, 2]);\n const centers = tf.add(boxStarts, anchors);\n const boxSizes = tf.slice(boxOutputs, [0, 3], [-1, 2]);\n const boxSizesNormalized = tf.div(boxSizes, inputSize);\n const centersNormalized = tf.div(centers, inputSize);\n const halfBoxSize = tf.div(boxSizesNormalized, 2);\n const starts = tf.sub(centersNormalized, halfBoxSize);\n const ends = tf.add(centersNormalized, halfBoxSize);\n const startNormalized = tf.mul(starts, inputSize);\n const endNormalized = tf.mul(ends, inputSize);\n const concatAxis = 1;\n return tf.concat2d([startNormalized, endNormalized], concatAxis);\n}\n\nexport class BlazeFaceModel {\n blazeFaceModel: any;\n width: number;\n height: number;\n anchorsData: any;\n anchors: any;\n inputSize: number;\n config: any;\n scaleFaces: number;\n\n constructor(model, config) {\n this.blazeFaceModel = model;\n this.width = config.face.detector.inputSize;\n this.height = config.face.detector.inputSize;\n this.anchorsData = generateAnchors(config.face.detector.inputSize);\n this.anchors = tf.tensor2d(this.anchorsData);\n this.inputSize = tf.tensor1d([this.width, this.height]);\n this.config = config;\n this.scaleFaces = 0.8;\n }\n\n async getBoundingBoxes(inputImage) {\n // sanity check on input\n if ((!inputImage) || (inputImage.isDisposedInternal) || (inputImage.shape.length !== 4) || (inputImage.shape[1] < 1) || (inputImage.shape[2] < 1)) return null;\n const [detectedOutputs, boxes, scores] = tf.tidy(() => {\n const resizedImage = inputImage.resizeBilinear([this.width, this.height]);\n // const normalizedImage = tf.mul(tf.sub(resizedImage.div(255), 0.5), 2);\n const normalizedImage = tf.sub(resizedImage.div(127.5), 1);\n const batchedPrediction = this.blazeFaceModel.predict(normalizedImage);\n let prediction;\n // are we using tfhub or pinto converted model?\n if (Array.isArray(batchedPrediction)) {\n const sorted = batchedPrediction.sort((a, b) => a.size - b.size);\n const concat384 = tf.concat([sorted[0], sorted[2]], 2); // dim: 384, 1 + 16\n const concat512 = tf.concat([sorted[1], sorted[3]], 2); // dim: 512, 1 + 16\n const concat = tf.concat([concat512, concat384], 1);\n prediction = concat.squeeze(0);\n } else {\n prediction = batchedPrediction.squeeze(); // when using tfhub model\n }\n const decodedBounds = decodeBounds(prediction, this.anchors, this.inputSize);\n const logits = tf.slice(prediction, [0, 0], [-1, 1]);\n const scoresOut = tf.sigmoid(logits).squeeze();\n return [prediction, decodedBounds, scoresOut];\n });\n const boxIndicesTensor = await tf.image.nonMaxSuppressionAsync(boxes, scores, this.config.face.detector.maxFaces, this.config.face.detector.iouThreshold, this.config.face.detector.scoreThreshold);\n const boxIndices = boxIndicesTensor.arraySync();\n boxIndicesTensor.dispose();\n const boundingBoxesMap = boxIndices.map((boxIndex) => tf.slice(boxes, [boxIndex, 0], [1, -1]));\n const boundingBoxes = boundingBoxesMap.map((boundingBox) => {\n const vals = boundingBox.arraySync();\n boundingBox.dispose();\n return vals;\n });\n\n const scoresVal = scores.dataSync();\n const annotatedBoxes: Array<{ box: any, landmarks: any, anchor: any, confidence: number }> = [];\n for (let i = 0; i < boundingBoxes.length; i++) {\n const boxIndex = boxIndices[i];\n const confidence = scoresVal[boxIndex];\n if (confidence > this.config.face.detector.minConfidence) {\n const box = createBox(boundingBoxes[i]);\n const anchor = this.anchorsData[boxIndex];\n const landmarks = tf.tidy(() => tf.slice(detectedOutputs, [boxIndex, NUM_LANDMARKS - 1], [1, -1]).squeeze().reshape([NUM_LANDMARKS, -1]));\n annotatedBoxes.push({ box, landmarks, anchor, confidence });\n }\n }\n detectedOutputs.dispose();\n boxes.dispose();\n scores.dispose();\n detectedOutputs.dispose();\n return {\n boxes: annotatedBoxes,\n scaleFactor: [inputImage.shape[2] / this.width, inputImage.shape[1] / this.height],\n };\n }\n}\n\nexport async function load(config) {\n const blazeface = await tf.loadGraphModel(config.face.detector.modelPath, { fromTFHub: config.face.detector.modelPath.includes('tfhub.dev') });\n const model = new BlazeFaceModel(blazeface, config);\n log(`load model: ${config.face.detector.modelPath.match(/\\/(.*)\\./)[1]}`);\n return model;\n}\n", "/* eslint-disable class-methods-use-this */\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as bounding from './box';\nimport * as util from './util';\nimport * as coords from './coords';\n\nconst LANDMARKS_COUNT = 468;\nconst MESH_MOUTH_INDEX = 13;\nconst MESH_KEYPOINTS_LINE_OF_SYMMETRY_INDICES = [MESH_MOUTH_INDEX, coords.MESH_ANNOTATIONS['midwayBetweenEyes'][0]];\nconst BLAZEFACE_MOUTH_INDEX = 3;\nconst BLAZEFACE_NOSE_INDEX = 2;\nconst BLAZEFACE_KEYPOINTS_LINE_OF_SYMMETRY_INDICES = [BLAZEFACE_MOUTH_INDEX, BLAZEFACE_NOSE_INDEX];\nconst LEFT_EYE_OUTLINE = coords.MESH_ANNOTATIONS['leftEyeLower0'];\nconst LEFT_EYE_BOUNDS = [LEFT_EYE_OUTLINE[0], LEFT_EYE_OUTLINE[LEFT_EYE_OUTLINE.length - 1]];\nconst RIGHT_EYE_OUTLINE = coords.MESH_ANNOTATIONS['rightEyeLower0'];\nconst RIGHT_EYE_BOUNDS = [RIGHT_EYE_OUTLINE[0], RIGHT_EYE_OUTLINE[RIGHT_EYE_OUTLINE.length - 1]];\nconst IRIS_UPPER_CENTER_INDEX = 3;\nconst IRIS_LOWER_CENTER_INDEX = 4;\nconst IRIS_IRIS_INDEX = 71;\nconst IRIS_NUM_COORDINATES = 76;\n\n// Replace the raw coordinates returned by facemesh with refined iris model coordinates. Update the z coordinate to be an average of the original and the new. This produces the best visual effect.\nfunction replaceRawCoordinates(rawCoords, newCoords, prefix, keys = null) {\n for (let i = 0; i < coords.MESH_TO_IRIS_INDICES_MAP.length; i++) {\n const { key, indices } = coords.MESH_TO_IRIS_INDICES_MAP[i];\n const originalIndices = coords.MESH_ANNOTATIONS[`${prefix}${key}`];\n // @ts-ignore\n if (!keys || keys.includes(key)) {\n for (let j = 0; j < indices.length; j++) {\n const index = indices[j];\n rawCoords[originalIndices[j]] = [\n newCoords[index][0], newCoords[index][1],\n (newCoords[index][2] + rawCoords[originalIndices[j]][2]) / 2,\n ];\n }\n }\n }\n}\n// The Pipeline coordinates between the bounding box and skeleton models.\nexport class Pipeline {\n storedBoxes: any;\n runsWithoutFaceDetector: number;\n boundingBoxDetector: any;\n meshDetector: any;\n irisModel: any;\n meshWidth: number;\n meshHeight: number;\n irisSize: number;\n irisEnlarge: number;\n skipped: number;\n detectedFaces: number;\n\n constructor(boundingBoxDetector, meshDetector, irisModel, config) {\n // An array of facial bounding boxes.\n this.storedBoxes = [];\n this.runsWithoutFaceDetector = 0;\n this.boundingBoxDetector = boundingBoxDetector;\n this.meshDetector = meshDetector;\n this.irisModel = irisModel;\n this.meshWidth = config.face.mesh.inputSize;\n this.meshHeight = config.face.mesh.inputSize;\n this.irisSize = config.face.iris.inputSize;\n this.irisEnlarge = 2.3;\n this.skipped = 0;\n this.detectedFaces = 0;\n }\n\n transformRawCoords(rawCoords, box, angle, rotationMatrix) {\n const boxSize = bounding.getBoxSize({ startPoint: box.startPoint, endPoint: box.endPoint });\n const scaleFactor = [boxSize[0] / this.meshWidth, boxSize[1] / this.meshHeight];\n const coordsScaled = rawCoords.map((coord) => ([\n scaleFactor[0] * (coord[0] - this.meshWidth / 2),\n scaleFactor[1] * (coord[1] - this.meshHeight / 2), coord[2],\n ]));\n const coordsRotationMatrix = (angle !== 0) ? util.buildRotationMatrix(angle, [0, 0]) : util.IDENTITY_MATRIX;\n const coordsRotated = (angle !== 0) ? coordsScaled.map((coord) => ([...util.rotatePoint(coord, coordsRotationMatrix), coord[2]])) : coordsScaled;\n const inverseRotationMatrix = (angle !== 0) ? util.invertTransformMatrix(rotationMatrix) : util.IDENTITY_MATRIX;\n const boxCenter = [...bounding.getBoxCenter({ startPoint: box.startPoint, endPoint: box.endPoint }), 1];\n return coordsRotated.map((coord) => ([\n coord[0] + util.dot(boxCenter, inverseRotationMatrix[0]),\n coord[1] + util.dot(boxCenter, inverseRotationMatrix[1]),\n coord[2],\n ]));\n }\n\n getLeftToRightEyeDepthDifference(rawCoords) {\n const leftEyeZ = rawCoords[LEFT_EYE_BOUNDS[0]][2];\n const rightEyeZ = rawCoords[RIGHT_EYE_BOUNDS[0]][2];\n return leftEyeZ - rightEyeZ;\n }\n\n // Returns a box describing a cropped region around the eye fit for passing to the iris model.\n getEyeBox(rawCoords, face, eyeInnerCornerIndex, eyeOuterCornerIndex, flip = false) {\n const box = bounding.squarifyBox(bounding.enlargeBox(this.calculateLandmarksBoundingBox([rawCoords[eyeInnerCornerIndex], rawCoords[eyeOuterCornerIndex]]), this.irisEnlarge));\n const boxSize = bounding.getBoxSize(box);\n let crop = tf.image.cropAndResize(face, [[\n box.startPoint[1] / this.meshHeight,\n box.startPoint[0] / this.meshWidth, box.endPoint[1] / this.meshHeight,\n box.endPoint[0] / this.meshWidth,\n ]], [0], [this.irisSize, this.irisSize]);\n if (flip) {\n crop = tf.image.flipLeftRight(crop);\n }\n return { box, boxSize, crop };\n }\n\n // Given a cropped image of an eye, returns the coordinates of the contours surrounding the eye and the iris.\n getEyeCoords(eyeData, eyeBox, eyeBoxSize, flip = false) {\n const eyeRawCoords: Array = [];\n for (let i = 0; i < IRIS_NUM_COORDINATES; i++) {\n const x = eyeData[i * 3];\n const y = eyeData[i * 3 + 1];\n const z = eyeData[i * 3 + 2];\n eyeRawCoords.push([\n (flip ? (1 - (x / this.irisSize)) : (x / this.irisSize)) * eyeBoxSize[0] + eyeBox.startPoint[0],\n (y / this.irisSize) * eyeBoxSize[1] + eyeBox.startPoint[1], z,\n ]);\n }\n return { rawCoords: eyeRawCoords, iris: eyeRawCoords.slice(IRIS_IRIS_INDEX) };\n }\n\n // The z-coordinates returned for the iris are unreliable, so we take the z values from the surrounding keypoints.\n getAdjustedIrisCoords(rawCoords, irisCoords, direction) {\n const upperCenterZ = rawCoords[coords.MESH_ANNOTATIONS[`${direction}EyeUpper0`][IRIS_UPPER_CENTER_INDEX]][2];\n const lowerCenterZ = rawCoords[coords.MESH_ANNOTATIONS[`${direction}EyeLower0`][IRIS_LOWER_CENTER_INDEX]][2];\n const averageZ = (upperCenterZ + lowerCenterZ) / 2;\n // Iris indices: 0: center | 1: right | 2: above | 3: left | 4: below\n return irisCoords.map((coord, i) => {\n let z = averageZ;\n if (i === 2) {\n z = upperCenterZ;\n } else if (i === 4) {\n z = lowerCenterZ;\n }\n return [coord[0], coord[1], z];\n });\n }\n\n async predict(input, config) {\n let useFreshBox = false;\n // run new detector every skipFrames unless we only want box to start with\n let detector;\n if ((this.skipped === 0) || (this.skipped > config.face.detector.skipFrames) || !config.face.mesh.enabled || !config.videoOptimized) {\n detector = await this.boundingBoxDetector.getBoundingBoxes(input);\n this.skipped = 0;\n }\n if (config.videoOptimized) this.skipped++;\n\n // if detector result count doesn't match current working set, use it to reset current working set\n if (detector && detector.boxes && (!config.face.mesh.enabled || (detector.boxes.length !== this.detectedFaces) && (this.detectedFaces !== config.face.detector.maxFaces))) {\n this.storedBoxes = [];\n this.detectedFaces = 0;\n for (const possible of detector.boxes) {\n this.storedBoxes.push({ startPoint: possible.box.startPoint.dataSync(), endPoint: possible.box.endPoint.dataSync(), landmarks: possible.landmarks, confidence: possible.confidence });\n }\n if (this.storedBoxes.length > 0) useFreshBox = true;\n }\n\n if (useFreshBox) {\n if (!detector || !detector.boxes || (detector.boxes.length === 0)) {\n this.storedBoxes = [];\n this.detectedFaces = 0;\n return null;\n }\n for (let i = 0; i < this.storedBoxes.length; i++) {\n const scaledBox = bounding.scaleBoxCoordinates({ startPoint: this.storedBoxes[i].startPoint, endPoint: this.storedBoxes[i].endPoint }, detector.scaleFactor);\n const enlargedBox = bounding.enlargeBox(scaledBox);\n const squarifiedBox = bounding.squarifyBox(enlargedBox);\n const landmarks = this.storedBoxes[i].landmarks.arraySync();\n const confidence = this.storedBoxes[i].confidence;\n this.storedBoxes[i] = { ...squarifiedBox, confidence, landmarks };\n }\n this.runsWithoutFaceDetector = 0;\n }\n if (detector && detector.boxes) {\n detector.boxes.forEach((prediction) => {\n prediction.box.startPoint.dispose();\n prediction.box.endPoint.dispose();\n prediction.landmarks.dispose();\n });\n }\n\n // log('face', `skipped: ${this.skipped} max: ${config.face.detector.maxFaces} detected: ${this.detectedFaces} stored: ${this.storedBoxes.length} new: ${detector?.boxes?.length}`);\n let results = tf.tidy(() => this.storedBoxes.map((box, i) => {\n // The facial bounding box landmarks could come either from blazeface (if we are using a fresh box), or from the mesh model (if we are reusing an old box).\n let face;\n let angle = 0;\n let rotationMatrix;\n if (config.face.detector.rotation) {\n const [indexOfMouth, indexOfForehead] = (box.landmarks.length >= LANDMARKS_COUNT) ? MESH_KEYPOINTS_LINE_OF_SYMMETRY_INDICES : BLAZEFACE_KEYPOINTS_LINE_OF_SYMMETRY_INDICES;\n angle = util.computeRotation(box.landmarks[indexOfMouth], box.landmarks[indexOfForehead]);\n const faceCenter = bounding.getBoxCenter({ startPoint: box.startPoint, endPoint: box.endPoint });\n const faceCenterNormalized = [faceCenter[0] / input.shape[2], faceCenter[1] / input.shape[1]];\n const rotatedImage = tf.image.rotateWithOffset(input, angle, 0, faceCenterNormalized);\n rotationMatrix = util.buildRotationMatrix(-angle, faceCenter);\n face = bounding.cutBoxFromImageAndResize({ startPoint: box.startPoint, endPoint: box.endPoint }, rotatedImage, [this.meshHeight, this.meshWidth]).div(255);\n } else {\n rotationMatrix = util.IDENTITY_MATRIX;\n const cloned = input.clone();\n face = bounding.cutBoxFromImageAndResize({ startPoint: box.startPoint, endPoint: box.endPoint }, cloned, [this.meshHeight, this.meshWidth]).div(255);\n }\n\n // if we're not going to produce mesh, don't spend time with further processing\n if (!config.face.mesh.enabled) {\n const prediction = {\n coords: null,\n box,\n faceConfidence: null,\n confidence: box.confidence,\n image: face,\n };\n return prediction;\n }\n\n const [, confidence, contourCoords] = this.meshDetector.predict(face); // The first returned tensor represents facial contours, which are included in the coordinates.\n const faceConfidence = confidence.dataSync()[0];\n if (faceConfidence < config.face.detector.minConfidence) return null; // if below confidence just exit\n const coordsReshaped = tf.reshape(contourCoords, [-1, 3]);\n let rawCoords = coordsReshaped.arraySync();\n\n if (config.face.iris.enabled) {\n const { box: leftEyeBox, boxSize: leftEyeBoxSize, crop: leftEyeCrop } = this.getEyeBox(rawCoords, face, LEFT_EYE_BOUNDS[0], LEFT_EYE_BOUNDS[1], true);\n const { box: rightEyeBox, boxSize: rightEyeBoxSize, crop: rightEyeCrop } = this.getEyeBox(rawCoords, face, RIGHT_EYE_BOUNDS[0], RIGHT_EYE_BOUNDS[1]);\n const eyePredictions = this.irisModel.predict(tf.concat([leftEyeCrop, rightEyeCrop]));\n const eyePredictionsData = eyePredictions.dataSync();\n const leftEyeData = eyePredictionsData.slice(0, IRIS_NUM_COORDINATES * 3);\n const { rawCoords: leftEyeRawCoords, iris: leftIrisRawCoords } = this.getEyeCoords(leftEyeData, leftEyeBox, leftEyeBoxSize, true);\n const rightEyeData = eyePredictionsData.slice(IRIS_NUM_COORDINATES * 3);\n const { rawCoords: rightEyeRawCoords, iris: rightIrisRawCoords } = this.getEyeCoords(rightEyeData, rightEyeBox, rightEyeBoxSize);\n const leftToRightEyeDepthDifference = this.getLeftToRightEyeDepthDifference(rawCoords);\n if (Math.abs(leftToRightEyeDepthDifference) < 30) { // User is looking straight ahead.\n replaceRawCoordinates(rawCoords, leftEyeRawCoords, 'left');\n replaceRawCoordinates(rawCoords, rightEyeRawCoords, 'right');\n // If the user is looking to the left or to the right, the iris coordinates tend to diverge too much from the mesh coordinates for them to be merged. So we only update a single contour line above and below the eye.\n } else if (leftToRightEyeDepthDifference < 1) { // User is looking towards the right.\n // @ts-ignore\n replaceRawCoordinates(rawCoords, leftEyeRawCoords, 'left', ['EyeUpper0', 'EyeLower0']);\n } else { // User is looking towards the left.\n // @ts-ignore\n replaceRawCoordinates(rawCoords, rightEyeRawCoords, 'right', ['EyeUpper0', 'EyeLower0']);\n }\n const adjustedLeftIrisCoords = this.getAdjustedIrisCoords(rawCoords, leftIrisRawCoords, 'left');\n const adjustedRightIrisCoords = this.getAdjustedIrisCoords(rawCoords, rightIrisRawCoords, 'right');\n rawCoords = rawCoords.concat(adjustedLeftIrisCoords).concat(adjustedRightIrisCoords);\n }\n\n const transformedCoordsData = this.transformRawCoords(rawCoords, box, angle, rotationMatrix);\n const landmarksBox = bounding.enlargeBox(this.calculateLandmarksBoundingBox(transformedCoordsData));\n const squarifiedLandmarksBox = bounding.squarifyBox(landmarksBox);\n const transformedCoords = tf.tensor2d(transformedCoordsData);\n const prediction = {\n coords: transformedCoords,\n box: landmarksBox,\n faceConfidence,\n confidence: box.confidence,\n image: face,\n rawCoords,\n };\n if (!config.face.mesh.returnRawData) delete prediction.rawCoords;\n this.storedBoxes[i] = { ...squarifiedLandmarksBox, landmarks: transformedCoords.arraySync(), confidence: box.confidence, faceConfidence };\n\n return prediction;\n }));\n results = results.filter((a) => a !== null);\n this.detectedFaces = results.length;\n return results;\n }\n\n calculateLandmarksBoundingBox(landmarks) {\n const xs = landmarks.map((d) => d[0]);\n const ys = landmarks.map((d) => d[1]);\n const startPoint = [Math.min(...xs), Math.min(...ys)];\n const endPoint = [Math.max(...xs), Math.max(...ys)];\n return { startPoint, endPoint, landmarks };\n }\n}\n", "import * as tf from '../../dist/tfjs.esm.js';\n\nexport function scaleBoxCoordinates(box, factor) {\n const startPoint = [box.startPoint[0] * factor[0], box.startPoint[1] * factor[1]];\n const endPoint = [box.endPoint[0] * factor[0], box.endPoint[1] * factor[1]];\n return { startPoint, endPoint };\n}\n\nexport function getBoxSize(box) {\n return [\n Math.abs(box.endPoint[0] - box.startPoint[0]),\n Math.abs(box.endPoint[1] - box.startPoint[1]),\n ];\n}\n\nexport function getBoxCenter(box) {\n return [\n box.startPoint[0] + (box.endPoint[0] - box.startPoint[0]) / 2,\n box.startPoint[1] + (box.endPoint[1] - box.startPoint[1]) / 2,\n ];\n}\n\nexport function cutBoxFromImageAndResize(box, image, cropSize) {\n const h = image.shape[1];\n const w = image.shape[2];\n const boxes = [[\n box.startPoint[1] / h, box.startPoint[0] / w, box.endPoint[1] / h,\n box.endPoint[0] / w,\n ]];\n return tf.image.cropAndResize(image, boxes, [0], cropSize);\n}\n\nexport function enlargeBox(box, factor = 1.5) {\n const center = getBoxCenter(box);\n const size = getBoxSize(box);\n const newHalfSize = [factor * size[0] / 2, factor * size[1] / 2];\n const startPoint = [center[0] - newHalfSize[0], center[1] - newHalfSize[1]];\n const endPoint = [center[0] + newHalfSize[0], center[1] + newHalfSize[1]];\n return { startPoint, endPoint, landmarks: box.landmarks };\n}\n\nexport function squarifyBox(box) {\n const centers = getBoxCenter(box);\n const size = getBoxSize(box);\n const maxEdge = Math.max(...size);\n const halfSize = maxEdge / 2;\n const startPoint = [centers[0] - halfSize, centers[1] - halfSize];\n const endPoint = [centers[0] + halfSize, centers[1] + halfSize];\n return { startPoint, endPoint, landmarks: box.landmarks };\n}\n", "export const IDENTITY_MATRIX = [[1, 0, 0], [0, 1, 0], [0, 0, 1]];\n/**\n * Normalizes the provided angle to the range -pi to pi.\n * @param angle The angle in radians to be normalized.\n */\nexport function normalizeRadians(angle) {\n return angle - 2 * Math.PI * Math.floor((angle + Math.PI) / (2 * Math.PI));\n}\n\n/**\n * Computes the angle of rotation between two anchor points.\n * @param point1 First anchor point\n * @param point2 Second anchor point\n */\nexport function computeRotation(point1, point2) {\n const radians = Math.PI / 2 - Math.atan2(-(point2[1] - point1[1]), point2[0] - point1[0]);\n return normalizeRadians(radians);\n}\n\nexport function radToDegrees(rad) {\n return rad * 180 / Math.PI;\n}\n\nexport function buildTranslationMatrix(x, y) {\n return [[1, 0, x], [0, 1, y], [0, 0, 1]];\n}\n\nexport function dot(v1, v2) {\n let product = 0;\n for (let i = 0; i < v1.length; i++) {\n product += v1[i] * v2[i];\n }\n return product;\n}\n\nexport function getColumnFrom2DArr(arr, columnIndex) {\n const column: Array = [];\n for (let i = 0; i < arr.length; i++) {\n column.push(arr[i][columnIndex]);\n }\n return column;\n}\n\nexport function multiplyTransformMatrices(mat1, mat2) {\n const product: Array = [];\n const size = mat1.length;\n for (let row = 0; row < size; row++) {\n product.push([]);\n for (let col = 0; col < size; col++) {\n product[row].push(dot(mat1[row], getColumnFrom2DArr(mat2, col)));\n }\n }\n return product;\n}\n\nexport function buildRotationMatrix(rotation, center) {\n const cosA = Math.cos(rotation);\n const sinA = Math.sin(rotation);\n const rotationMatrix = [[cosA, -sinA, 0], [sinA, cosA, 0], [0, 0, 1]];\n const translationMatrix = buildTranslationMatrix(center[0], center[1]);\n const translationTimesRotation = multiplyTransformMatrices(translationMatrix, rotationMatrix);\n const negativeTranslationMatrix = buildTranslationMatrix(-center[0], -center[1]);\n return multiplyTransformMatrices(translationTimesRotation, negativeTranslationMatrix);\n}\n\nexport function invertTransformMatrix(matrix) {\n const rotationComponent = [[matrix[0][0], matrix[1][0]], [matrix[0][1], matrix[1][1]]];\n const translationComponent = [matrix[0][2], matrix[1][2]];\n const invertedTranslation = [\n -dot(rotationComponent[0], translationComponent),\n -dot(rotationComponent[1], translationComponent),\n ];\n return [\n rotationComponent[0].concat(invertedTranslation[0]),\n rotationComponent[1].concat(invertedTranslation[1]),\n [0, 0, 1],\n ];\n}\n\nexport function rotatePoint(homogeneousCoordinate, rotationMatrix) {\n return [\n dot(homogeneousCoordinate, rotationMatrix[0]),\n dot(homogeneousCoordinate, rotationMatrix[1]),\n ];\n}\n\nexport function xyDistanceBetweenPoints(a, b) {\n return Math.sqrt(((a[0] - b[0]) ** 2) + ((a[1] - b[1]) ** 2));\n}\n", "export const MESH_ANNOTATIONS = {\n silhouette: [\n 10, 338, 297, 332, 284, 251, 389, 356, 454, 323, 361, 288,\n 397, 365, 379, 378, 400, 377, 152, 148, 176, 149, 150, 136,\n 172, 58, 132, 93, 234, 127, 162, 21, 54, 103, 67, 109,\n ],\n lipsUpperOuter: [61, 185, 40, 39, 37, 0, 267, 269, 270, 409, 291],\n lipsLowerOuter: [146, 91, 181, 84, 17, 314, 405, 321, 375, 291],\n lipsUpperInner: [78, 191, 80, 81, 82, 13, 312, 311, 310, 415, 308],\n lipsLowerInner: [78, 95, 88, 178, 87, 14, 317, 402, 318, 324, 308],\n rightEyeUpper0: [246, 161, 160, 159, 158, 157, 173],\n rightEyeLower0: [33, 7, 163, 144, 145, 153, 154, 155, 133],\n rightEyeUpper1: [247, 30, 29, 27, 28, 56, 190],\n rightEyeLower1: [130, 25, 110, 24, 23, 22, 26, 112, 243],\n rightEyeUpper2: [113, 225, 224, 223, 222, 221, 189],\n rightEyeLower2: [226, 31, 228, 229, 230, 231, 232, 233, 244],\n rightEyeLower3: [143, 111, 117, 118, 119, 120, 121, 128, 245],\n rightEyebrowUpper: [156, 70, 63, 105, 66, 107, 55, 193],\n rightEyebrowLower: [35, 124, 46, 53, 52, 65],\n rightEyeIris: [473, 474, 475, 476, 477],\n leftEyeUpper0: [466, 388, 387, 386, 385, 384, 398],\n leftEyeLower0: [263, 249, 390, 373, 374, 380, 381, 382, 362],\n leftEyeUpper1: [467, 260, 259, 257, 258, 286, 414],\n leftEyeLower1: [359, 255, 339, 254, 253, 252, 256, 341, 463],\n leftEyeUpper2: [342, 445, 444, 443, 442, 441, 413],\n leftEyeLower2: [446, 261, 448, 449, 450, 451, 452, 453, 464],\n leftEyeLower3: [372, 340, 346, 347, 348, 349, 350, 357, 465],\n leftEyebrowUpper: [383, 300, 293, 334, 296, 336, 285, 417],\n leftEyebrowLower: [265, 353, 276, 283, 282, 295],\n leftEyeIris: [468, 469, 470, 471, 472],\n midwayBetweenEyes: [168],\n noseTip: [1],\n noseBottom: [2],\n noseRightCorner: [98],\n noseLeftCorner: [327],\n rightCheek: [205],\n leftCheek: [425],\n};\n\nexport const MESH_TO_IRIS_INDICES_MAP = [ // A mapping from facemesh model keypoints to iris model keypoints.\n { key: 'EyeUpper0', indices: [9, 10, 11, 12, 13, 14, 15] },\n { key: 'EyeUpper1', indices: [25, 26, 27, 28, 29, 30, 31] },\n { key: 'EyeUpper2', indices: [41, 42, 43, 44, 45, 46, 47] },\n { key: 'EyeLower0', indices: [0, 1, 2, 3, 4, 5, 6, 7, 8] },\n { key: 'EyeLower1', indices: [16, 17, 18, 19, 20, 21, 22, 23, 24] },\n { key: 'EyeLower2', indices: [32, 33, 34, 35, 36, 37, 38, 39, 40] },\n { key: 'EyeLower3', indices: [54, 55, 56, 57, 58, 59, 60, 61, 62] },\n // { key: 'EyebrowUpper', indices: [63, 64, 65, 66, 67, 68, 69, 70] },\n // { key: 'EyebrowLower', indices: [48, 49, 50, 51, 52, 53] },\n];\n\nexport const UV468 = [\n [0.499976992607117, 0.652534008026123],\n [0.500025987625122, 0.547487020492554],\n [0.499974012374878, 0.602371990680695],\n [0.482113003730774, 0.471979022026062],\n [0.500150978565216, 0.527155995368958],\n [0.499909996986389, 0.498252987861633],\n [0.499523013830185, 0.40106201171875],\n [0.289712011814117, 0.380764007568359],\n [0.499954998493195, 0.312398016452789],\n [0.499987006187439, 0.269918978214264],\n [0.500023007392883, 0.107050001621246],\n [0.500023007392883, 0.666234016418457],\n [0.5000159740448, 0.679224014282227],\n [0.500023007392883, 0.692348003387451],\n [0.499976992607117, 0.695277988910675],\n [0.499976992607117, 0.70593398809433],\n [0.499976992607117, 0.719385027885437],\n [0.499976992607117, 0.737019002437592],\n [0.499967992305756, 0.781370997428894],\n [0.499816000461578, 0.562981009483337],\n [0.473773002624512, 0.573909997940063],\n [0.104906998574734, 0.254140973091125],\n [0.365929991006851, 0.409575998783112],\n [0.338757991790771, 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0.924192011356354],\n [0.88577002286911, 0.615028977394104],\n [0.551338016986847, 0.695277988910675],\n [0.551980018615723, 0.704632043838501],\n [0.552887976169586, 0.715808033943176],\n [0.555167973041534, 0.730794012546539],\n [0.569944024085999, 0.767035007476807],\n [0.593203008174896, 0.685675978660583],\n [0.599261999130249, 0.681069016456604],\n [0.607599973678589, 0.677703022956848],\n [0.631937980651855, 0.663500010967255],\n [0.752032995223999, 0.601315021514893],\n [0.547226011753082, 0.420395016670227],\n [0.563543975353241, 0.359827995300293],\n [0.583841025829315, 0.368713974952698],\n [0.586614012718201, 0.692366003990173],\n [0.771915018558502, 0.683578014373779],\n [0.531597018241882, 0.352482974529266],\n [0.588370978832245, 0.804440975189209],\n [0.52079701423645, 0.442565023899078],\n [0.567984998226166, 0.493479013442993],\n [0.543282985687256, 0.819254994392395],\n [0.655317008495331, 0.745514988899231],\n [0.621008992195129, 0.574018001556396],\n [0.625559985637665, 0.78031200170517],\n [0.680198013782501, 0.570719003677368],\n [0.64276397228241, 0.604337990283966],\n [0.704662978649139, 0.621529996395111],\n [0.552012026309967, 0.862591981887817],\n [0.589071989059448, 0.508637011051178],\n [0.685944974422455, 0.775357007980347],\n [0.645735025405884, 0.812640011310577],\n [0.675342977046967, 0.703978002071381],\n [0.810858011245728, 0.646304965019226],\n [0.72012197971344, 0.714666962623596],\n [0.866151988506317, 0.682704985141754],\n [0.663187026977539, 0.644596993923187],\n [0.570082008838654, 0.466325998306274],\n [0.544561982154846, 0.548375964164734],\n [0.562758982181549, 0.558784961700439],\n [0.531987011432648, 0.530140042304993],\n [0.585271000862122, 0.335177004337311],\n [0.622952997684479, 0.32277899980545],\n [0.655896008014679, 0.320163011550903],\n [0.687132000923157, 0.322345972061157],\n [0.716481983661652, 0.333200991153717],\n [0.758756995201111, 0.382786989212036],\n [0.897013008594513, 0.468769013881683],\n [0.732392013072968, 0.424547016620636],\n [0.70211398601532, 0.433162987232208],\n [0.66652500629425, 0.433866024017334],\n [0.633504986763, 0.426087975502014],\n [0.603875994682312, 0.416586995124817],\n [0.579657971858978, 0.409945011138916],\n [0.992439985275269, 0.480777025222778],\n [0.567192018032074, 0.569419980049133],\n [0.54136598110199, 0.478899002075195],\n [0.526564002037048, 0.546118021011353],\n [0.523913025856018, 0.563830018043518],\n [0.531529009342194, 0.555056989192963],\n [0.566035985946655, 0.582329034805298],\n [0.51631098985672, 0.563053965568542],\n [0.5174720287323, 0.577877044677734],\n [0.573594987392426, 0.389806985855103],\n [0.560697972774506, 0.395331978797913],\n [0.549755990505219, 0.399751007556915],\n [0.710287988185883, 0.368252992630005],\n [0.723330020904541, 0.363372981548309],\n];\n\nexport const TRI468 = [\n 127, 34, 139, 11, 0, 37, 232, 231, 120, 72, 37, 39, 128, 121, 47, 232, 121, 128, 104, 69, 67, 175, 171, 148, 157, 154, 155, 118, 50, 101, 73, 39, 40, 9,\n 151, 108, 48, 115, 131, 194, 204, 211, 74, 40, 185, 80, 42, 183, 40, 92, 186, 230, 229, 118, 202, 212, 214, 83, 18, 17, 76, 61, 146, 160, 29, 30, 56,\n 157, 173, 106, 204, 194, 135, 214, 192, 203, 165, 98, 21, 71, 68, 51, 45, 4, 144, 24, 23, 77, 146, 91, 205, 50, 187, 201, 200, 18, 91, 106, 182, 90, 91,\n 181, 85, 84, 17, 206, 203, 36, 148, 171, 140, 92, 40, 39, 193, 189, 244, 159, 158, 28, 247, 246, 161, 236, 3, 196, 54, 68, 104, 193, 168, 8, 117,\n 228, 31, 189, 193, 55, 98, 97, 99, 126, 47, 100, 166, 79, 218, 155, 154, 26, 209, 49, 131, 135, 136, 150, 47, 126, 217, 223, 52, 53, 45, 51, 134, 211,\n 170, 140, 67, 69, 108, 43, 106, 91, 230, 119, 120, 226, 130, 247, 63, 53, 52, 238, 20, 242, 46, 70, 156, 78, 62, 96, 46, 53, 63, 143, 34, 227, 173,\n 155, 133, 123, 117, 111, 44, 125, 19, 236, 134, 51, 216, 206, 205, 154, 153, 22, 39, 37, 167, 200, 201, 208, 36, 142, 100, 57, 212, 202, 20, 60, 99, 28,\n 158, 157, 35, 226, 113, 160, 159, 27, 204, 202, 210, 113, 225, 46, 43, 202, 204, 62, 76, 77, 137, 123, 116, 41, 38, 72, 203, 129, 142, 64, 98, 240, 49,\n 102, 64, 41, 73, 74, 212, 216, 207, 42, 74, 184, 169, 170, 211, 170, 149, 176, 105, 66, 69, 122, 6, 168, 123, 147, 187, 96, 77, 90, 65, 55, 107, 89,\n 90, 180, 101, 100, 120, 63, 105, 104, 93, 137, 227, 15, 86, 85, 129, 102, 49, 14, 87, 86, 55, 8, 9, 100, 47, 121, 145, 23, 22, 88, 89, 179, 6, 122,\n 196, 88, 95, 96, 138, 172, 136, 215, 58, 172, 115, 48, 219, 42, 80, 81, 195, 3, 51, 43, 146, 61, 171, 175, 199, 81, 82, 38, 53, 46, 225, 144, 163, 110,\n 246, 33, 7, 52, 65, 66, 229, 228, 117, 34, 127, 234, 107, 108, 69, 109, 108, 151, 48, 64, 235, 62, 78, 191, 129, 209, 126, 111, 35, 143, 163, 161, 246,\n 117, 123, 50, 222, 65, 52, 19, 125, 141, 221, 55, 65, 3, 195, 197, 25, 7, 33, 220, 237, 44, 70, 71, 139, 122, 193, 245, 247, 130, 33, 71, 21, 162,\n 153, 158, 159, 170, 169, 150, 188, 174, 196, 216, 186, 92, 144, 160, 161, 2, 97, 167, 141, 125, 241, 164, 167, 37, 72, 38, 12, 145, 159, 160, 38, 82, 13,\n 63, 68, 71, 226, 35, 111, 158, 153, 154, 101, 50, 205, 206, 92, 165, 209, 198, 217, 165, 167, 97, 220, 115, 218, 133, 112, 243, 239, 238, 241, 214,\n 135, 169, 190, 173, 133, 171, 208, 32, 125, 44, 237, 86, 87, 178, 85, 86, 179, 84, 85, 180, 83, 84, 181, 201, 83, 182, 137, 93, 132, 76, 62, 183, 61,\n 76, 184, 57, 61, 185, 212, 57, 186, 214, 207, 187, 34, 143, 156, 79, 239, 237, 123, 137, 177, 44, 1, 4, 201, 194, 32, 64, 102, 129, 213, 215, 138, 59,\n 166, 219, 242, 99, 97, 2, 94, 141, 75, 59, 235, 24, 110, 228, 25, 130, 226, 23, 24, 229, 22, 23, 230, 26, 22, 231, 112, 26, 232, 189, 190, 243, 221, 56,\n 190, 28, 56, 221, 27, 28, 222, 29, 27, 223, 30, 29, 224, 247, 30, 225, 238, 79, 20, 166, 59, 75, 60, 75, 240, 147, 177, 215, 20, 79, 166, 187, 147, 213,\n 112, 233, 244, 233, 128, 245, 128, 114, 188, 114, 217, 174, 131, 115, 220, 217, 198, 236, 198, 131, 134, 177, 132, 58, 143, 35, 124, 110, 163, 7, 228,\n 110, 25, 356, 389, 368, 11, 302, 267, 452, 350, 349, 302, 303, 269, 357, 343, 277, 452, 453, 357, 333, 332, 297, 175, 152, 377, 384, 398, 382, 347,\n 348, 330, 303, 304, 270, 9, 336, 337, 278, 279, 360, 418, 262, 431, 304, 408, 409, 310, 415, 407, 270, 409, 410, 450, 348, 347, 422, 430, 434, 313,\n 314, 17, 306, 307, 375, 387, 388, 260, 286, 414, 398, 335, 406, 418, 364, 367, 416, 423, 358, 327, 251, 284, 298, 281, 5, 4, 373, 374, 253, 307, 320,\n 321, 425, 427, 411, 421, 313, 18, 321, 405, 406, 320, 404, 405, 315, 16, 17, 426, 425, 266, 377, 400, 369, 322, 391, 269, 417, 465, 464, 386, 257, 258,\n 466, 260, 388, 456, 399, 419, 284, 332, 333, 417, 285, 8, 346, 340, 261, 413, 441, 285, 327, 460, 328, 355, 371, 329, 392, 439, 438, 382, 341, 256,\n 429, 420, 360, 364, 394, 379, 277, 343, 437, 443, 444, 283, 275, 440, 363, 431, 262, 369, 297, 338, 337, 273, 375, 321, 450, 451, 349, 446, 342, 467,\n 293, 334, 282, 458, 461, 462, 276, 353, 383, 308, 324, 325, 276, 300, 293, 372, 345, 447, 382, 398, 362, 352, 345, 340, 274, 1, 19, 456, 248, 281, 436,\n 427, 425, 381, 256, 252, 269, 391, 393, 200, 199, 428, 266, 330, 329, 287, 273, 422, 250, 462, 328, 258, 286, 384, 265, 353, 342, 387, 259, 257, 424,\n 431, 430, 342, 353, 276, 273, 335, 424, 292, 325, 307, 366, 447, 345, 271, 303, 302, 423, 266, 371, 294, 455, 460, 279, 278, 294, 271, 272, 304, 432,\n 434, 427, 272, 407, 408, 394, 430, 431, 395, 369, 400, 334, 333, 299, 351, 417, 168, 352, 280, 411, 325, 319, 320, 295, 296, 336, 319, 403, 404, 330,\n 348, 349, 293, 298, 333, 323, 454, 447, 15, 16, 315, 358, 429, 279, 14, 15, 316, 285, 336, 9, 329, 349, 350, 374, 380, 252, 318, 402, 403, 6, 197, 419,\n 318, 319, 325, 367, 364, 365, 435, 367, 397, 344, 438, 439, 272, 271, 311, 195, 5, 281, 273, 287, 291, 396, 428, 199, 311, 271, 268, 283, 444, 445,\n 373, 254, 339, 263, 466, 249, 282, 334, 296, 449, 347, 346, 264, 447, 454, 336, 296, 299, 338, 10, 151, 278, 439, 455, 292, 407, 415, 358, 371, 355,\n 340, 345, 372, 390, 249, 466, 346, 347, 280, 442, 443, 282, 19, 94, 370, 441, 442, 295, 248, 419, 197, 263, 255, 359, 440, 275, 274, 300, 383, 368,\n 351, 412, 465, 263, 467, 466, 301, 368, 389, 380, 374, 386, 395, 378, 379, 412, 351, 419, 436, 426, 322, 373, 390, 388, 2, 164, 393, 370, 462, 461,\n 164, 0, 267, 302, 11, 12, 374, 373, 387, 268, 12, 13, 293, 300, 301, 446, 261, 340, 385, 384, 381, 330, 266, 425, 426, 423, 391, 429, 355, 437, 391,\n 327, 326, 440, 457, 438, 341, 382, 362, 459, 457, 461, 434, 430, 394, 414, 463, 362, 396, 369, 262, 354, 461, 457, 316, 403, 402, 315, 404, 403, 314,\n 405, 404, 313, 406, 405, 421, 418, 406, 366, 401, 361, 306, 408, 407, 291, 409, 408, 287, 410, 409, 432, 436, 410, 434, 416, 411, 264, 368, 383, 309,\n 438, 457, 352, 376, 401, 274, 275, 4, 421, 428, 262, 294, 327, 358, 433, 416, 367, 289, 455, 439, 462, 370, 326, 2, 326, 370, 305, 460, 455, 254,\n 449, 448, 255, 261, 446, 253, 450, 449, 252, 451, 450, 256, 452, 451, 341, 453, 452, 413, 464, 463, 441, 413, 414, 258, 442, 441, 257, 443, 442, 259,\n 444, 443, 260, 445, 444, 467, 342, 445, 459, 458, 250, 289, 392, 290, 290, 328, 460, 376, 433, 435, 250, 290, 392, 411, 416, 433, 341, 463, 464, 453,\n 464, 465, 357, 465, 412, 343, 412, 399, 360, 363, 440, 437, 399, 456, 420, 456, 363, 401, 435, 288, 372, 383, 353, 339, 255, 249, 448, 261, 255, 133,\n 243, 190, 133, 155, 112, 33, 246, 247, 33, 130, 25, 398, 384, 286, 362, 398, 414, 362, 463, 341, 263, 359, 467, 263, 249, 255, 466, 467, 260, 75, 60,\n 166, 238, 239, 79, 162, 127, 139, 72, 11, 37, 121, 232, 120, 73, 72, 39, 114, 128, 47, 233, 232, 128, 103, 104, 67, 152, 175, 148, 173, 157, 155,\n 119, 118, 101, 74, 73, 40, 107, 9, 108, 49, 48, 131, 32, 194, 211, 184, 74, 185, 191, 80, 183, 185, 40, 186, 119, 230, 118, 210, 202, 214, 84, 83, 17,\n 77, 76, 146, 161, 160, 30, 190, 56, 173, 182, 106, 194, 138, 135, 192, 129, 203, 98, 54, 21, 68, 5, 51, 4, 145, 144, 23, 90, 77, 91, 207, 205, 187, 83,\n 201, 18, 181, 91, 182, 180, 90, 181, 16, 85, 17, 205, 206, 36, 176, 148, 140, 165, 92, 39, 245, 193, 244, 27, 159, 28, 30, 247, 161, 174, 236, 196,\n 103, 54, 104, 55, 193, 8, 111, 117, 31, 221, 189, 55, 240, 98, 99, 142, 126, 100, 219, 166, 218, 112, 155, 26, 198, 209, 131, 169, 135, 150, 114, 47,\n 217, 224, 223, 53, 220, 45, 134, 32, 211, 140, 109, 67, 108, 146, 43, 91, 231, 230, 120, 113, 226, 247, 105, 63, 52, 241, 238, 242, 124, 46, 156, 95,\n 78, 96, 70, 46, 63, 116, 143, 227, 116, 123, 111, 1, 44, 19, 3, 236, 51, 207, 216, 205, 26, 154, 22, 165, 39, 167, 199, 200, 208, 101, 36, 100, 43,\n 57, 202, 242, 20, 99, 56, 28, 157, 124, 35, 113, 29, 160, 27, 211, 204, 210, 124, 113, 46, 106, 43, 204, 96, 62, 77, 227, 137, 116, 73, 41, 72, 36, 203,\n 142, 235, 64, 240, 48, 49, 64, 42, 41, 74, 214, 212, 207, 183, 42, 184, 210, 169, 211, 140, 170, 176, 104, 105, 69, 193, 122, 168, 50, 123, 187, 89, 96,\n 90, 66, 65, 107, 179, 89, 180, 119, 101, 120, 68, 63, 104, 234, 93, 227, 16, 15, 85, 209, 129, 49, 15, 14, 86, 107, 55, 9, 120, 100, 121, 153, 145, 22,\n 178, 88, 179, 197, 6, 196, 89, 88, 96, 135, 138, 136, 138, 215, 172, 218, 115, 219, 41, 42, 81, 5, 195, 51, 57, 43, 61, 208, 171, 199, 41, 81, 38,\n 224, 53, 225, 24, 144, 110, 105, 52, 66, 118, 229, 117, 227, 34, 234, 66, 107, 69, 10, 109, 151, 219, 48, 235, 183, 62, 191, 142, 129, 126, 116, 111,\n 143, 7, 163, 246, 118, 117, 50, 223, 222, 52, 94, 19, 141, 222, 221, 65, 196, 3, 197, 45, 220, 44, 156, 70, 139, 188, 122, 245, 139, 71, 162, 145,\n 153, 159, 149, 170, 150, 122, 188, 196, 206, 216, 92, 163, 144, 161, 164, 2, 167, 242, 141, 241, 0, 164, 37, 11, 72, 12, 144, 145, 160, 12, 38, 13, 70,\n 63, 71, 31, 226, 111, 157, 158, 154, 36, 101, 205, 203, 206, 165, 126, 209, 217, 98, 165, 97, 237, 220, 218, 237, 239, 241, 210, 214, 169, 140, 171, 32,\n 241, 125, 237, 179, 86, 178, 180, 85, 179, 181, 84, 180, 182, 83, 181, 194, 201, 182, 177, 137, 132, 184, 76, 183, 185, 61, 184, 186, 57, 185, 216, 212,\n 186, 192, 214, 187, 139, 34, 156, 218, 79, 237, 147, 123, 177, 45, 44, 4, 208, 201, 32, 98, 64, 129, 192, 213, 138, 235, 59, 219, 141, 242, 97, 97, 2,\n 141, 240, 75, 235, 229, 24, 228, 31, 25, 226, 230, 23, 229, 231, 22, 230, 232, 26, 231, 233, 112, 232, 244, 189, 243, 189, 221, 190, 222, 28, 221,\n 223, 27, 222, 224, 29, 223, 225, 30, 224, 113, 247, 225, 99, 60, 240, 213, 147, 215, 60, 20, 166, 192, 187, 213, 243, 112, 244, 244, 233, 245, 245,\n 128, 188, 188, 114, 174, 134, 131, 220, 174, 217, 236, 236, 198, 134, 215, 177, 58, 156, 143, 124, 25, 110, 7, 31, 228, 25, 264, 356, 368, 0, 11, 267,\n 451, 452, 349, 267, 302, 269, 350, 357, 277, 350, 452, 357, 299, 333, 297, 396, 175, 377, 381, 384, 382, 280, 347, 330, 269, 303, 270, 151, 9, 337,\n 344, 278, 360, 424, 418, 431, 270, 304, 409, 272, 310, 407, 322, 270, 410, 449, 450, 347, 432, 422, 434, 18, 313, 17, 291, 306, 375, 259, 387, 260,\n 424, 335, 418, 434, 364, 416, 391, 423, 327, 301, 251, 298, 275, 281, 4, 254, 373, 253, 375, 307, 321, 280, 425, 411, 200, 421, 18, 335, 321, 406,\n 321, 320, 405, 314, 315, 17, 423, 426, 266, 396, 377, 369, 270, 322, 269, 413, 417, 464, 385, 386, 258, 248, 456, 419, 298, 284, 333, 168, 417, 8,\n 448, 346, 261, 417, 413, 285, 326, 327, 328, 277, 355, 329, 309, 392, 438, 381, 382, 256, 279, 429, 360, 365, 364, 379, 355, 277, 437, 282, 443, 283,\n 281, 275, 363, 395, 431, 369, 299, 297, 337, 335, 273, 321, 348, 450, 349, 359, 446, 467, 283, 293, 282, 250, 458, 462, 300, 276, 383, 292, 308, 325,\n 283, 276, 293, 264, 372, 447, 346, 352, 340, 354, 274, 19, 363, 456, 281, 426, 436, 425, 380, 381, 252, 267, 269, 393, 421, 200, 428, 371, 266, 329,\n 432, 287, 422, 290, 250, 328, 385, 258, 384, 446, 265, 342, 386, 387, 257, 422, 424, 430, 445, 342, 276, 422, 273, 424, 306, 292, 307, 352, 366, 345,\n 268, 271, 302, 358, 423, 371, 327, 294, 460, 331, 279, 294, 303, 271, 304, 436, 432, 427, 304, 272, 408, 395, 394, 431, 378, 395, 400, 296, 334, 299,\n 6, 351, 168, 376, 352, 411, 307, 325, 320, 285, 295, 336, 320, 319, 404, 329, 330, 349, 334, 293, 333, 366, 323, 447, 316, 15, 315, 331, 358, 279,\n 317, 14, 316, 8, 285, 9, 277, 329, 350, 253, 374, 252, 319, 318, 403, 351, 6, 419, 324, 318, 325, 397, 367, 365, 288, 435, 397, 278, 344, 439, 310,\n 272, 311, 248, 195, 281, 375, 273, 291, 175, 396, 199, 312, 311, 268, 276, 283, 445, 390, 373, 339, 295, 282, 296, 448, 449, 346, 356, 264, 454, 337,\n 336, 299, 337, 338, 151, 294, 278, 455, 308, 292, 415, 429, 358, 355, 265, 340, 372, 388, 390, 466, 352, 346, 280, 295, 442, 282, 354, 19, 370, 285,\n 441, 295, 195, 248, 197, 457, 440, 274, 301, 300, 368, 417, 351, 465, 251, 301, 389, 385, 380, 386, 394, 395, 379, 399, 412, 419, 410, 436, 322, 387,\n 373, 388, 326, 2, 393, 354, 370, 461, 393, 164, 267, 268, 302, 12, 386, 374, 387, 312, 268, 13, 298, 293, 301, 265, 446, 340, 380, 385, 381, 280, 330,\n 425, 322, 426, 391, 420, 429, 437, 393, 391, 326, 344, 440, 438, 458, 459, 461, 364, 434, 394, 428, 396, 262, 274, 354, 457, 317, 316, 402, 316, 315,\n 403, 315, 314, 404, 314, 313, 405, 313, 421, 406, 323, 366, 361, 292, 306, 407, 306, 291, 408, 291, 287, 409, 287, 432, 410, 427, 434, 411, 372, 264,\n 383, 459, 309, 457, 366, 352, 401, 1, 274, 4, 418, 421, 262, 331, 294, 358, 435, 433, 367, 392, 289, 439, 328, 462, 326, 94, 2, 370, 289, 305, 455, 339,\n 254, 448, 359, 255, 446, 254, 253, 449, 253, 252, 450, 252, 256, 451, 256, 341, 452, 414, 413, 463, 286, 441, 414, 286, 258, 441, 258, 257, 442, 257,\n 259, 443, 259, 260, 444, 260, 467, 445, 309, 459, 250, 305, 289, 290, 305, 290, 460, 401, 376, 435, 309, 250, 392, 376, 411, 433, 453, 341, 464, 357,\n 453, 465, 343, 357, 412, 437, 343, 399, 344, 360, 440, 420, 437, 456, 360, 420, 363, 361, 401, 288, 265, 372, 353, 390, 339, 249, 339, 448, 255];\n\nexport const TRI68 = [0, 1, 36, 0, 36, 17, 1, 2, 41, 1, 41, 36, 2, 3, 31, 2, 31, 41, 3, 4, 48, 3, 48, 31, 4, 5, 48, 5, 6, 48, 6, 7, 59, 6, 59, 48, 7, 8, 58, 7, 58, 59,\n 8, 9, 56, 8, 56, 57, 8, 57, 58, 9, 10, 55, 9, 55, 56, 10, 11, 54, 10, 54, 55, 11, 12, 54, 12, 13, 54, 13, 14, 35, 13, 35, 54, 14, 15, 46, 14, 46, 35, 15, 16,\n 45, 15, 45, 46, 16, 26, 45, 17, 36, 18, 18, 37, 19, 18, 36, 37, 19, 38, 20, 19, 37, 38, 20, 39, 21, 20, 38, 39, 21, 39, 27, 22, 42, 23, 22, 27, 42, 23, 43, 24,\n 23, 42, 43, 24, 44, 25, 24, 43, 44, 25, 45, 26, 25, 44, 45, 27, 39, 28, 27, 28, 42, 28, 39, 29, 28, 29, 42, 29, 31, 30, 29, 30, 35, 29, 40, 31, 29, 35, 47, 29,\n 39, 40, 29, 47, 42, 30, 31, 32, 30, 32, 33, 30, 33, 34, 30, 34, 35, 31, 50, 32, 31, 40, 41, 31, 48, 49, 31, 49, 50, 32, 51, 33, 32, 50, 51, 33, 51, 34, 34, 52,\n 35, 34, 51, 52, 35, 46, 47, 35, 52, 53, 35, 53, 54, 36, 41, 37, 37, 40, 38, 37, 41, 40, 38, 40, 39, 42, 47, 43, 43, 47, 44, 44, 46, 45, 44, 47, 46, 48, 60, 49,\n 48, 59, 60, 49, 61, 50, 49, 60, 61, 50, 62, 51, 50, 61, 62, 51, 62, 52, 52, 63, 53, 52, 62, 63, 53, 64, 54, 53, 63, 64, 54, 64, 55, 55, 65, 56, 55, 64, 65, 56,\n 66, 57, 56, 65, 66, 57, 66, 58, 58, 67, 59, 58, 66, 67, 59, 67, 60, 60, 67, 61, 61, 66, 62, 61, 67, 66, 62, 66, 63, 63, 65, 64, 63, 66, 65, 21, 27, 22];\n\nexport const TRI33 = [\n /* eyes */ 0, 8, 7, 7, 8, 1, 2, 10, 9, 9, 10, 3,\n /* brows */ 17, 0, 18, 18, 0, 7, 18, 7, 19, 19, 7, 1, 19, 1, 11, 19, 11, 20, 21, 3, 22, 21, 9, 3, 20, 9, 21, 20, 2, 9, 20, 11, 2,\n /* 4head */ 23, 17, 18, 25, 21, 22, 24, 19, 20, 24, 18, 19, 24, 20, 21, 24, 23, 18, 24, 21, 25,\n /* nose */ 11, 12, 4, 11, 4, 13, 1, 12, 11, 11, 13, 2, 12, 14, 4, 4, 14, 13,\n /* up-lip */ 14, 5, 15, 14, 15, 6, 12, 5, 14, 14, 6, 13,\n /* cheeks */ 8, 12, 1, 2, 13, 10, 8, 26, 12, 10, 13, 27, 26, 5, 12, 13, 6, 27, 0, 26, 8, 10, 27, 3,\n /* chin */ 5, 32, 16, 16, 32, 6, 5, 30, 32, 6, 32, 31,\n /* cont */ 26, 30, 5, 27, 6, 31, 0, 28, 26, 3, 27, 29, 17, 28, 0, 3, 29, 22, 23, 28, 17, 22, 29, 25, 28, 30, 26, 27, 31, 29,\n];\n\nexport const TRI7 = [0, 4, 1, 2, 4, 3, 4, 5, 6];\n\nexport const VTX68 = [\n /* cont */ 127, 234, 132, 58, 172, 150, 149, 148, 152, 377, 378, 379, 397, 288, 361, 454, 356,\n /* brows */ 70, 63, 105, 66, 107, 336, 296, 334, 293, 300,\n /* nose */ 168, 6, 195, 4, 98, 97, 2, 326, 327,\n /* eyes */ 33, 160, 158, 133, 153, 144, 362, 385, 387, 263, 373, 380,\n /* lip */ 57, 40, 37, 0, 267, 270, 287, 321, 314, 17, 84, 91,\n /* mouth */ 78, 81, 13, 311, 308, 402, 14, 178,\n];\n\nexport const VTX33 = [33, 133, 362, 263, 1, 62, 308, 159, 145, 386, 374, 6, 102, 331, 2, 13, 14, 70, 105, 107, 336, 334, 300, 54, 10, 284, 50, 280, 234, 454, 58, 288, 152];\n\nexport const VTX7 = [33, 133, 362, 263, 1, 78, 308];\n\nexport const UV68 = VTX68.map((x) => UV468[x]);\n\nexport const UV33 = VTX33.map((x) => UV468[x]);\n\nexport const UV7 = VTX7.map((x) => UV468[x]);\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as profile from '../profile';\n\nexport class FaceBoxes {\n enlarge: number;\n model: any;\n config: any;\n\n constructor(model, config) {\n this.enlarge = 1.1;\n this.model = model;\n this.config = config;\n }\n\n async estimateFaces(input, config) {\n if (config) this.config = config;\n const results: Array<{ confidence: number, box: any, boxRaw: any, image: any }> = [];\n const resizeT = tf.image.resizeBilinear(input, [this.config.face.detector.inputSize, this.config.face.detector.inputSize]);\n const castT = resizeT.toInt();\n let scores;\n let boxes;\n if (!config.profile) {\n const [scoresT, boxesT, numT] = await this.model.executeAsync(castT);\n scores = scoresT.dataSync();\n const squeezeT = boxesT.squeeze();\n boxes = squeezeT.arraySync();\n scoresT.dispose();\n boxesT.dispose();\n squeezeT.dispose();\n numT.dispose();\n } else {\n const profileData = await tf.profile(() => this.model.executeAsync(castT));\n scores = profileData.result[0].dataSync();\n const squeezeT = profileData.result[1].squeeze();\n boxes = squeezeT.arraySync();\n profileData.result.forEach((t) => t.dispose());\n profile.run('faceboxes', profileData);\n }\n castT.dispose();\n resizeT.dispose();\n for (const i in boxes) {\n if (scores[i] && scores[i] > this.config.face.detector.minConfidence) {\n const crop = [boxes[i][0] / this.enlarge, boxes[i][1] / this.enlarge, boxes[i][2] * this.enlarge, boxes[i][3] * this.enlarge];\n const boxRaw = [crop[1], crop[0], (crop[3]) - (crop[1]), (crop[2]) - (crop[0])];\n const box = [\n parseInt((boxRaw[0] * input.shape[2]).toString()),\n parseInt((boxRaw[1] * input.shape[1]).toString()),\n parseInt((boxRaw[2] * input.shape[2]).toString()),\n parseInt((boxRaw[3] * input.shape[1]).toString())];\n const resized = tf.image.cropAndResize(input, [crop], [0], [this.config.face.detector.inputSize, this.config.face.detector.inputSize]);\n const image = resized.div([255]);\n resized.dispose();\n results.push({ confidence: scores[i], box, boxRaw: this.config.face.mesh.returnRawData ? boxRaw : null, image });\n // add mesh, meshRaw, annotations,\n }\n }\n return results;\n }\n}\n\nexport async function load(config) {\n const model = await tf.loadGraphModel(config.face.detector.modelPath);\n log(`load model: ${config.face.detector.modelPath.match(/\\/(.*)\\./)[1]}`);\n const faceboxes = new FaceBoxes(model, config);\n if (config.face.mesh.enabled) log(`load model: ${config.face.mesh.modelPath.match(/\\/(.*)\\./)[1]}`);\n if (config.face.iris.enabled) log(`load model: ${config.face.iris.modelPath.match(/\\/(.*)\\./)[1]}`);\n return faceboxes;\n}\n", "import { log } from './log';\n\nexport const data = {};\n\nexport function run(name: string, raw: any) {\n if (!raw || !raw.kernels) return;\n const maxResults = 5;\n const time = raw.kernels\n .filter((a) => a.kernelTimeMs > 0)\n .reduce((a, b) => a += b.kernelTimeMs, 0);\n const slowest = raw.kernels\n .map((a, i) => { a.id = i; return a; })\n .filter((a) => a.kernelTimeMs > 0)\n .sort((a, b) => b.kernelTimeMs - a.kernelTimeMs);\n const largest = raw.kernels\n .map((a, i) => { a.id = i; return a; })\n .filter((a) => a.totalBytesSnapshot > 0)\n .sort((a, b) => b.totalBytesSnapshot - a.totalBytesSnapshot);\n if (slowest.length > maxResults) slowest.length = maxResults;\n if (largest.length > maxResults) largest.length = maxResults;\n const res = { newBytes: raw.newBytes, newTensors: raw.newTensors, peakBytes: raw.peakBytes, numKernelOps: raw.kernels.length, timeKernelOps: time, slowestKernelOps: slowest, largestKernelOps: largest };\n data[name] = res;\n log('Human profiler', name, res);\n}\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as profile from '../profile';\n\nlet model;\nlet last = { age: 0 };\nlet skipped = Number.MAX_SAFE_INTEGER;\n\nexport async function load(config) {\n if (!model) {\n model = await tf.loadGraphModel(config.face.age.modelPath);\n log(`load model: ${config.face.age.modelPath.match(/\\/(.*)\\./)[1]}`);\n }\n return model;\n}\n\nexport async function predict(image, config) {\n if (!model) return null;\n if ((skipped < config.face.age.skipFrames) && config.videoOptimized && last.age && (last.age > 0)) {\n skipped++;\n return last;\n }\n if (config.videoOptimized) skipped = 0;\n else skipped = Number.MAX_SAFE_INTEGER;\n return new Promise(async (resolve) => {\n /*\n const zoom = [0, 0]; // 0..1 meaning 0%..100%\n const box = [[\n (image.shape[1] * zoom[0]) / image.shape[1],\n (image.shape[2] * zoom[1]) / image.shape[2],\n (image.shape[1] - (image.shape[1] * zoom[0])) / image.shape[1],\n (image.shape[2] - (image.shape[2] * zoom[1])) / image.shape[2],\n ]];\n const resize = tf.image.cropAndResize(image, box, [0], [config.face.age.inputSize, config.face.age.inputSize]);\n */\n const resize = tf.image.resizeBilinear(image, [config.face.age.inputSize, config.face.age.inputSize], false);\n const enhance = tf.mul(resize, [255.0]);\n tf.dispose(resize);\n\n let ageT;\n const obj = { age: 0 };\n\n if (!config.profile) {\n if (config.face.age.enabled) ageT = await model.predict(enhance);\n } else {\n const profileAge = config.face.age.enabled ? await tf.profile(() => model.predict(enhance)) : {};\n ageT = profileAge.result.clone();\n profileAge.result.dispose();\n profile.run('age', profileAge);\n }\n enhance.dispose();\n\n if (ageT) {\n const data = ageT.dataSync();\n obj.age = Math.trunc(10 * data[0]) / 10;\n }\n ageT.dispose();\n\n last = obj;\n resolve(obj);\n });\n}\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as profile from '../profile';\n\nlet model;\nlet last = { gender: '' };\nlet skipped = Number.MAX_SAFE_INTEGER;\nlet alternative = false;\n\n// tuning values\nconst rgb = [0.2989, 0.5870, 0.1140]; // factors for red/green/blue colors when converting to grayscale\n\nexport async function load(config) {\n if (!model) {\n model = await tf.loadGraphModel(config.face.gender.modelPath);\n alternative = model.inputs[0].shape[3] === 1;\n log(`load model: ${config.face.gender.modelPath.match(/\\/(.*)\\./)[1]}`);\n }\n return model;\n}\n\nexport async function predict(image, config) {\n if (!model) return null;\n if ((skipped < config.face.gender.skipFrames) && config.videoOptimized && last.gender !== '') {\n skipped++;\n return last;\n }\n if (config.videoOptimized) skipped = 0;\n else skipped = Number.MAX_SAFE_INTEGER;\n return new Promise(async (resolve) => {\n const resize = tf.image.resizeBilinear(image, [config.face.gender.inputSize, config.face.gender.inputSize], false);\n let enhance;\n if (alternative) {\n enhance = tf.tidy(() => {\n const [red, green, blue] = tf.split(resize, 3, 3);\n const redNorm = tf.mul(red, rgb[0]);\n const greenNorm = tf.mul(green, rgb[1]);\n const blueNorm = tf.mul(blue, rgb[2]);\n const grayscale = tf.addN([redNorm, greenNorm, blueNorm]);\n return grayscale.sub(0.5).mul(2);\n });\n } else {\n enhance = tf.mul(resize, [255.0]);\n }\n tf.dispose(resize);\n\n let genderT;\n const obj = { gender: '', confidence: 0 };\n\n if (!config.profile) {\n if (config.face.gender.enabled) genderT = await model.predict(enhance);\n } else {\n const profileGender = config.face.gender.enabled ? await tf.profile(() => model.predict(enhance)) : {};\n genderT = profileGender.result.clone();\n profileGender.result.dispose();\n profile.run('gender', profileGender);\n }\n enhance.dispose();\n\n if (genderT) {\n const data = genderT.dataSync();\n if (alternative) {\n // returns two values 0..1, bigger one is prediction\n const confidence = Math.trunc(100 * Math.abs(data[0] - data[1])) / 100;\n if (confidence > config.face.gender.minConfidence) {\n obj.gender = data[0] > data[1] ? 'female' : 'male';\n obj.confidence = confidence;\n }\n } else {\n // returns one value 0..1, .5 is prediction threshold\n const confidence = Math.trunc(200 * Math.abs((data[0] - 0.5))) / 100;\n if (confidence > config.face.gender.minConfidence) {\n obj.gender = data[0] <= 0.5 ? 'female' : 'male';\n obj.confidence = Math.min(0.99, confidence);\n }\n }\n }\n genderT.dispose();\n\n last = obj;\n resolve(obj);\n });\n}\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as profile from '../profile';\n\nconst annotations = ['angry', 'disgust', 'fear', 'happy', 'sad', 'surprise', 'neutral'];\nlet model;\nlet last: Array<{ score: number, emotion: string }> = [];\nlet skipped = Number.MAX_SAFE_INTEGER;\n\n// tuning values\nconst rgb = [0.2989, 0.5870, 0.1140]; // factors for red/green/blue colors when converting to grayscale\nconst scale = 1; // score multiplication factor\n\nexport async function load(config) {\n if (!model) {\n model = await tf.loadGraphModel(config.face.emotion.modelPath);\n log(`load model: ${config.face.emotion.modelPath.match(/\\/(.*)\\./)[1]}`);\n }\n return model;\n}\n\nexport async function predict(image, config) {\n if (!model) return null;\n if ((skipped < config.face.emotion.skipFrames) && config.videoOptimized && (last.length > 0)) {\n skipped++;\n return last;\n }\n if (config.videoOptimized) skipped = 0;\n else skipped = Number.MAX_SAFE_INTEGER;\n return new Promise(async (resolve) => {\n /*\n const zoom = [0, 0]; // 0..1 meaning 0%..100%\n const box = [[\n (image.shape[1] * zoom[0]) / image.shape[1],\n (image.shape[2] * zoom[1]) / image.shape[2],\n (image.shape[1] - (image.shape[1] * zoom[0])) / image.shape[1],\n (image.shape[2] - (image.shape[2] * zoom[1])) / image.shape[2],\n ]];\n const resize = tf.image.cropAndResize(image, box, [0], [config.face.emotion.inputSize, config.face.emotion.inputSize]);\n */\n const resize = tf.image.resizeBilinear(image, [config.face.emotion.inputSize, config.face.emotion.inputSize], false);\n const [red, green, blue] = tf.split(resize, 3, 3);\n resize.dispose();\n // weighted rgb to grayscale: https://www.mathworks.com/help/matlab/ref/rgb2gray.html\n const redNorm = tf.mul(red, rgb[0]);\n const greenNorm = tf.mul(green, rgb[1]);\n const blueNorm = tf.mul(blue, rgb[2]);\n red.dispose();\n green.dispose();\n blue.dispose();\n const grayscale = tf.addN([redNorm, greenNorm, blueNorm]);\n redNorm.dispose();\n greenNorm.dispose();\n blueNorm.dispose();\n const normalize = tf.tidy(() => grayscale.sub(0.5).mul(2));\n grayscale.dispose();\n const obj: Array<{ score: number, emotion: string }> = [];\n if (config.face.emotion.enabled) {\n let data;\n if (!config.profile) {\n const emotionT = await model.predict(normalize);\n data = emotionT.dataSync();\n tf.dispose(emotionT);\n } else {\n const profileData = await tf.profile(() => model.predict(normalize));\n data = profileData.result.dataSync();\n profileData.result.dispose();\n profile.run('emotion', profileData);\n }\n for (let i = 0; i < data.length; i++) {\n if (scale * data[i] > config.face.emotion.minConfidence) obj.push({ score: Math.min(0.99, Math.trunc(100 * scale * data[i]) / 100), emotion: annotations[i] });\n }\n obj.sort((a, b) => b.score - a.score);\n }\n normalize.dispose();\n last = obj;\n resolve(obj);\n });\n}\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as profile from '../profile';\n\n// based on https://github.com/sirius-ai/MobileFaceNet_TF\n// model converted from https://github.com/sirius-ai/MobileFaceNet_TF/files/3551493/FaceMobileNet192_train_false.zip\n\nlet model;\n\nexport async function load(config) {\n if (!model) {\n model = await tf.loadGraphModel(config.face.embedding.modelPath);\n log(`load model: ${config.face.embedding.modelPath.match(/\\/(.*)\\./)[1]}`);\n }\n return model;\n}\n\nexport function simmilarity(embedding1, embedding2) {\n if (embedding1?.length !== embedding2?.length) return 0;\n // general minkowski distance\n // euclidean distance is limited case where order is 2\n const order = 2;\n const distance = 10.0 * ((embedding1.map((val, i) => (val - embedding2[i])).reduce((dist, diff) => dist + (diff ** order), 0) ** (1 / order)));\n return (Math.trunc(1000 * (1 - distance)) / 1000);\n}\n\nexport async function predict(image, config) {\n if (!model) return null;\n return new Promise(async (resolve) => {\n const resize = tf.image.resizeBilinear(image, [config.face.embedding.inputSize, config.face.embedding.inputSize], false);\n // const normalize = tf.tidy(() => resize.div(127.5).sub(0.5)); // this is -0.5...0.5 ???\n let data: Array<[]> = [];\n if (config.face.embedding.enabled) {\n if (!config.profile) {\n const embeddingT = await model.predict({ img_inputs: resize });\n data = [...embeddingT.dataSync()]; // convert object array to standard array\n tf.dispose(embeddingT);\n } else {\n const profileData = await tf.profile(() => model.predict({ img_inputs: resize }));\n data = [...profileData.result.dataSync()];\n profileData.result.dispose();\n profile.run('emotion', profileData);\n }\n }\n resize.dispose();\n // normalize.dispose();\n resolve(data);\n });\n}\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as modelBase from './modelBase';\nimport * as decodeMultiple from './decodeMultiple';\nimport * as decodePose from './decodePose';\nimport * as util from './util';\n\nasync function estimateMultiple(input, res, config) {\n return new Promise(async (resolve) => {\n const height = input.shape[1];\n const width = input.shape[2];\n const allTensorBuffers = await util.toTensorBuffers3D([res.heatmapScores, res.offsets, res.displacementFwd, res.displacementBwd]);\n const scoresBuffer = allTensorBuffers[0];\n const offsetsBuffer = allTensorBuffers[1];\n const displacementsFwdBuffer = allTensorBuffers[2];\n const displacementsBwdBuffer = allTensorBuffers[3];\n const poses = await decodeMultiple.decodeMultiplePoses(scoresBuffer, offsetsBuffer, displacementsFwdBuffer, displacementsBwdBuffer, config);\n const scaled = util.scaleAndFlipPoses(poses, [height, width], [config.body.inputSize, config.body.inputSize]);\n resolve(scaled);\n });\n}\n\nasync function estimateSingle(input, res, config) {\n return new Promise(async (resolve) => {\n const height = input.shape[1];\n const width = input.shape[2];\n const pose = await decodePose.decodeSinglePose(res.heatmapScores, res.offsets, config);\n const poses = [pose];\n const scaled = util.scaleAndFlipPoses(poses, [height, width], [config.body.inputSize, config.body.inputSize]);\n resolve(scaled);\n });\n}\n\nexport class PoseNet {\n baseModel: any;\n constructor(model) {\n this.baseModel = model;\n }\n\n async estimatePoses(input, config) {\n const resized = util.resizeTo(input, [config.body.inputSize, config.body.inputSize]);\n const res = this.baseModel.predict(resized, config);\n\n const poses = (config.body.maxDetections < 2) ? await estimateSingle(input, res, config) : await estimateMultiple(input, res, config);\n\n res.heatmapScores.dispose();\n res.offsets.dispose();\n res.displacementFwd.dispose();\n res.displacementBwd.dispose();\n resized.dispose();\n\n return poses;\n }\n\n dispose() {\n this.baseModel.dispose();\n }\n}\n\nexport async function load(config) {\n const model = await tf.loadGraphModel(config.body.modelPath);\n const mobilenet = new modelBase.BaseModel(model);\n log(`load model: ${config.body.modelPath.match(/\\/(.*)\\./)[1]}`);\n return new PoseNet(mobilenet);\n}\n", "import * as tf from '../../dist/tfjs.esm.js';\n\nconst imageNetMean = [-123.15, -115.90, -103.06];\n\nfunction nameOutputResultsMobileNet(results) {\n const [offsets, heatmap, displacementFwd, displacementBwd] = results;\n return { offsets, heatmap, displacementFwd, displacementBwd };\n}\n\nfunction nameOutputResultsResNet(results) {\n const [displacementFwd, displacementBwd, offsets, heatmap] = results;\n return { offsets, heatmap, displacementFwd, displacementBwd };\n}\n\nexport class BaseModel {\n model: any;\n constructor(model) {\n this.model = model;\n }\n\n predict(input, config) {\n return tf.tidy(() => {\n const asFloat = (config.body.modelType === 'ResNet') ? input.toFloat().add(imageNetMean) : input.toFloat().div(127.5).sub(1.0);\n const asBatch = asFloat.expandDims(0);\n const results = this.model.predict(asBatch);\n const results3d = results.map((y) => y.squeeze([0]));\n const namedResults = (config.body.modelType === 'ResNet') ? nameOutputResultsResNet(results3d) : nameOutputResultsMobileNet(results3d);\n return {\n heatmapScores: namedResults.heatmap.sigmoid(),\n offsets: namedResults.offsets,\n displacementFwd: namedResults.displacementFwd,\n displacementBwd: namedResults.displacementBwd,\n };\n });\n }\n\n dispose() {\n this.model.dispose();\n }\n}\n", "// algorithm based on Coursera Lecture from Algorithms, Part 1: https://www.coursera.org/learn/algorithms-part1/lecture/ZjoSM/heapsort\nfunction half(k) {\n return Math.floor(k / 2);\n}\nexport class MaxHeap {\n priorityQueue: any;\n numberOfElements: number;\n getElementValue: any;\n\n constructor(maxSize, getElementValue) {\n this.priorityQueue = new Array(maxSize);\n this.numberOfElements = -1;\n this.getElementValue = getElementValue;\n }\n\n enqueue(x) {\n this.priorityQueue[++this.numberOfElements] = x;\n this.swim(this.numberOfElements);\n }\n\n dequeue() {\n const max = this.priorityQueue[0];\n this.exchange(0, this.numberOfElements--);\n this.sink(0);\n this.priorityQueue[this.numberOfElements + 1] = null;\n return max;\n }\n\n empty() {\n return this.numberOfElements === -1;\n }\n\n size() {\n return this.numberOfElements + 1;\n }\n\n all() {\n return this.priorityQueue.slice(0, this.numberOfElements + 1);\n }\n\n max() {\n return this.priorityQueue[0];\n }\n\n swim(k) {\n while (k > 0 && this.less(half(k), k)) {\n this.exchange(k, half(k));\n k = half(k);\n }\n }\n\n sink(k) {\n while (2 * k <= this.numberOfElements) {\n let j = 2 * k;\n if (j < this.numberOfElements && this.less(j, j + 1)) j++;\n if (!this.less(k, j)) break;\n this.exchange(k, j);\n k = j;\n }\n }\n\n getValueAt(i) {\n return this.getElementValue(this.priorityQueue[i]);\n }\n\n less(i, j) {\n return this.getValueAt(i) < this.getValueAt(j);\n }\n\n exchange(i, j) {\n const t = this.priorityQueue[i];\n this.priorityQueue[i] = this.priorityQueue[j];\n this.priorityQueue[j] = t;\n }\n}\n", "import * as heapSort from './heapSort';\n\nfunction scoreIsMaximumInLocalWindow(keypointId, score, heatmapY, heatmapX, localMaximumRadius, scores) {\n const [height, width] = scores.shape;\n let localMaximum = true;\n const yStart = Math.max(heatmapY - localMaximumRadius, 0);\n const yEnd = Math.min(heatmapY + localMaximumRadius + 1, height);\n for (let yCurrent = yStart; yCurrent < yEnd; ++yCurrent) {\n const xStart = Math.max(heatmapX - localMaximumRadius, 0);\n const xEnd = Math.min(heatmapX + localMaximumRadius + 1, width);\n for (let xCurrent = xStart; xCurrent < xEnd; ++xCurrent) {\n if (scores.get(yCurrent, xCurrent, keypointId) > score) {\n localMaximum = false;\n break;\n }\n }\n if (!localMaximum) break;\n }\n return localMaximum;\n}\n\nexport function buildPartWithScoreQueue(scoreThreshold, localMaximumRadius, scores) {\n const [height, width, numKeypoints] = scores.shape;\n const queue = new heapSort.MaxHeap(height * width * numKeypoints, ({ score }) => score);\n for (let heatmapY = 0; heatmapY < height; ++heatmapY) {\n for (let heatmapX = 0; heatmapX < width; ++heatmapX) {\n for (let keypointId = 0; keypointId < numKeypoints; ++keypointId) {\n const score = scores.get(heatmapY, heatmapX, keypointId);\n // Only consider parts with score greater or equal to threshold as root candidates.\n if (score < scoreThreshold) continue;\n // Only consider keypoints whose score is maximum in a local window.\n if (scoreIsMaximumInLocalWindow(keypointId, score, heatmapY, heatmapX, localMaximumRadius, scores)) {\n queue.enqueue({ score, part: { heatmapY, heatmapX, id: keypointId } });\n }\n }\n }\n }\n return queue;\n}\n", "import * as keypoints from './keypoints';\nimport * as vectors from './vectors';\nimport * as decoders from './decoders';\n\nconst parentChildrenTuples = keypoints.poseChain.map(([parentJoinName, childJoinName]) => ([keypoints.partIds[parentJoinName], keypoints.partIds[childJoinName]]));\nconst parentToChildEdges = parentChildrenTuples.map(([, childJointId]) => childJointId);\nconst childToParentEdges = parentChildrenTuples.map(([parentJointId]) => parentJointId);\nfunction getDisplacement(edgeId, point, displacements) {\n const numEdges = displacements.shape[2] / 2;\n return {\n y: displacements.get(point.y, point.x, edgeId),\n x: displacements.get(point.y, point.x, numEdges + edgeId),\n };\n}\nfunction getStridedIndexNearPoint(point, outputStride, height, width) {\n return {\n y: vectors.clamp(Math.round(point.y / outputStride), 0, height - 1),\n x: vectors.clamp(Math.round(point.x / outputStride), 0, width - 1),\n };\n}\n\nfunction traverseToTargetKeypoint(edgeId, sourceKeypoint, targetKeypointId, scoresBuffer, offsets, outputStride, displacements, offsetRefineStep = 2) {\n const [height, width] = scoresBuffer.shape;\n // Nearest neighbor interpolation for the source->target displacements.\n const sourceKeypointIndices = getStridedIndexNearPoint(sourceKeypoint.position, outputStride, height, width);\n const displacement = getDisplacement(edgeId, sourceKeypointIndices, displacements);\n const displacedPoint = vectors.addVectors(sourceKeypoint.position, displacement);\n let targetKeypoint = displacedPoint;\n for (let i = 0; i < offsetRefineStep; i++) {\n const targetKeypointIndices = getStridedIndexNearPoint(targetKeypoint, outputStride, height, width);\n const offsetPoint = vectors.getOffsetPoint(targetKeypointIndices.y, targetKeypointIndices.x, targetKeypointId, offsets);\n targetKeypoint = vectors.addVectors({\n x: targetKeypointIndices.x * outputStride,\n y: targetKeypointIndices.y * outputStride,\n }, { x: offsetPoint.x, y: offsetPoint.y });\n }\n const targetKeyPointIndices = getStridedIndexNearPoint(targetKeypoint, outputStride, height, width);\n const score = scoresBuffer.get(targetKeyPointIndices.y, targetKeyPointIndices.x, targetKeypointId);\n return { position: targetKeypoint, part: keypoints.partNames[targetKeypointId], score };\n}\n\nexport function decodePose(root, scores, offsets, outputStride, displacementsFwd, displacementsBwd) {\n const numParts = scores.shape[2];\n const numEdges = parentToChildEdges.length;\n const instanceKeypoints = new Array(numParts);\n // Start a new detection instance at the position of the root.\n const { part: rootPart, score: rootScore } = root;\n const rootPoint = vectors.getImageCoords(rootPart, outputStride, offsets);\n instanceKeypoints[rootPart.id] = {\n score: rootScore,\n part: keypoints.partNames[rootPart.id],\n position: rootPoint,\n };\n // Decode the part positions upwards in the tree, following the backward displacements.\n for (let edge = numEdges - 1; edge >= 0; --edge) {\n const sourceKeypointId = parentToChildEdges[edge];\n const targetKeypointId = childToParentEdges[edge];\n if (instanceKeypoints[sourceKeypointId] && !instanceKeypoints[targetKeypointId]) {\n instanceKeypoints[targetKeypointId] = traverseToTargetKeypoint(edge, instanceKeypoints[sourceKeypointId], targetKeypointId, scores, offsets, outputStride, displacementsBwd);\n }\n }\n // Decode the part positions downwards in the tree, following the forward displacements.\n for (let edge = 0; edge < numEdges; ++edge) {\n const sourceKeypointId = childToParentEdges[edge];\n const targetKeypointId = parentToChildEdges[edge];\n if (instanceKeypoints[sourceKeypointId] && !instanceKeypoints[targetKeypointId]) {\n instanceKeypoints[targetKeypointId] = traverseToTargetKeypoint(edge, instanceKeypoints[sourceKeypointId], targetKeypointId, scores, offsets, outputStride, displacementsFwd);\n }\n }\n return instanceKeypoints;\n}\n\nexport async function decodeSinglePose(heatmapScores, offsets, config) {\n let totalScore = 0.0;\n const heatmapValues = decoders.argmax2d(heatmapScores);\n const allTensorBuffers = await Promise.all([heatmapScores.buffer(), offsets.buffer(), heatmapValues.buffer()]);\n const scoresBuffer = allTensorBuffers[0];\n const offsetsBuffer = allTensorBuffers[1];\n const heatmapValuesBuffer = allTensorBuffers[2];\n const offsetPoints = decoders.getOffsetPoints(heatmapValuesBuffer, config.body.outputStride, offsetsBuffer);\n const offsetPointsBuffer = await offsetPoints.buffer();\n const keypointConfidence = Array.from(decoders.getPointsConfidence(scoresBuffer, heatmapValuesBuffer));\n const instanceKeypoints = keypointConfidence.map((score, i) => {\n totalScore += score;\n return {\n position: {\n y: offsetPointsBuffer.get(i, 0),\n x: offsetPointsBuffer.get(i, 1),\n },\n part: keypoints.partNames[i],\n score,\n };\n });\n const filteredKeypoints = instanceKeypoints.filter((kpt) => kpt.score > config.body.scoreThreshold);\n heatmapValues.dispose();\n offsetPoints.dispose();\n return { keypoints: filteredKeypoints, score: totalScore / instanceKeypoints.length };\n}\n", "import * as kpt from './keypoints';\n\nexport function getOffsetPoint(y, x, keypoint, offsets) {\n return {\n y: offsets.get(y, x, keypoint),\n x: offsets.get(y, x, keypoint + kpt.NUM_KEYPOINTS),\n };\n}\n\nexport function getImageCoords(part, outputStride, offsets) {\n const { heatmapY, heatmapX, id: keypoint } = part;\n const { y, x } = getOffsetPoint(heatmapY, heatmapX, keypoint, offsets);\n return {\n x: part.heatmapX * outputStride + x,\n y: part.heatmapY * outputStride + y,\n };\n}\n\nexport function fillArray(element, size) {\n const result = new Array(size);\n for (let i = 0; i < size; i++) {\n result[i] = element;\n }\n return result;\n}\n\nexport function clamp(a, min, max) {\n if (a < min) return min;\n if (a > max) return max;\n return a;\n}\n\nexport function squaredDistance(y1, x1, y2, x2) {\n const dy = y2 - y1;\n const dx = x2 - x1;\n return dy * dy + dx * dx;\n}\n\nexport function addVectors(a, b) {\n return { x: a.x + b.x, y: a.y + b.y };\n}\n\nexport function clampVector(a, min, max) {\n return { y: clamp(a.y, min, max), x: clamp(a.x, min, max) };\n}\n", "import * as tf from '../../dist/tfjs.esm.js';\nimport * as kpt from './keypoints';\n\nexport function getPointsConfidence(heatmapScores, heatMapCoords) {\n const numKeypoints = heatMapCoords.shape[0];\n const result = new Float32Array(numKeypoints);\n for (let keypoint = 0; keypoint < numKeypoints; keypoint++) {\n const y = heatMapCoords.get(keypoint, 0);\n const x = heatMapCoords.get(keypoint, 1);\n result[keypoint] = heatmapScores.get(y, x, keypoint);\n }\n return result;\n}\n\nfunction getOffsetPoint(y, x, keypoint, offsetsBuffer) {\n return {\n y: offsetsBuffer.get(y, x, keypoint),\n x: offsetsBuffer.get(y, x, keypoint + kpt.NUM_KEYPOINTS),\n };\n}\n\nexport function getOffsetVectors(heatMapCoordsBuffer, offsetsBuffer) {\n const result: Array = [];\n for (let keypoint = 0; keypoint < kpt.NUM_KEYPOINTS; keypoint++) {\n const heatmapY = heatMapCoordsBuffer.get(keypoint, 0).valueOf();\n const heatmapX = heatMapCoordsBuffer.get(keypoint, 1).valueOf();\n const { x, y } = getOffsetPoint(heatmapY, heatmapX, keypoint, offsetsBuffer);\n result.push(y);\n result.push(x);\n }\n return tf.tensor2d(result, [kpt.NUM_KEYPOINTS, 2]);\n}\n\nexport function getOffsetPoints(heatMapCoordsBuffer, outputStride, offsetsBuffer) {\n return tf.tidy(() => heatMapCoordsBuffer.toTensor().mul(tf.scalar(outputStride, 'int32')).toFloat().add(getOffsetVectors(heatMapCoordsBuffer, offsetsBuffer)));\n}\n\nfunction mod(a, b) {\n return tf.tidy(() => {\n const floored = a.div(tf.scalar(b, 'int32'));\n return a.sub(floored.mul(tf.scalar(b, 'int32')));\n });\n}\n\nexport function argmax2d(inputs) {\n const [height, width, depth] = inputs.shape;\n return tf.tidy(() => {\n const reshaped = inputs.reshape([height * width, depth]);\n const coords = reshaped.argMax(0);\n const yCoords = coords.div(tf.scalar(width, 'int32')).expandDims(1);\n const xCoords = mod(coords, width).expandDims(1);\n return tf.concat([yCoords, xCoords], 1);\n });\n}\n", "import * as buildParts from './buildParts';\nimport * as decodePose from './decodePose';\nimport * as vectors from './vectors';\n\nconst kLocalMaximumRadius = 1;\n\nfunction withinNmsRadiusOfCorrespondingPoint(poses, squaredNmsRadius, { x, y }, keypointId) {\n return poses.some(({ keypoints }) => {\n const correspondingKeypoint = keypoints[keypointId].position;\n return vectors.squaredDistance(y, x, correspondingKeypoint.y, correspondingKeypoint.x) <= squaredNmsRadius;\n });\n}\n\nfunction getInstanceScore(existingPoses, squaredNmsRadius, instanceKeypoints) {\n const notOverlappedKeypointScores = instanceKeypoints.reduce((result, { position, score }, keypointId) => {\n if (!withinNmsRadiusOfCorrespondingPoint(existingPoses, squaredNmsRadius, position, keypointId)) result += score;\n return result;\n }, 0.0);\n return notOverlappedKeypointScores / instanceKeypoints.length;\n}\n\nexport function decodeMultiplePoses(scoresBuffer, offsetsBuffer, displacementsFwdBuffer, displacementsBwdBuffer, config) {\n const poses: Array<{ keypoints: any, score: number }> = [];\n const queue = buildParts.buildPartWithScoreQueue(config.body.scoreThreshold, kLocalMaximumRadius, scoresBuffer);\n const squaredNmsRadius = config.body.nmsRadius ^ 2;\n // Generate at most maxDetections object instances per image in decreasing root part score order.\n while (poses.length < config.body.maxDetections && !queue.empty()) {\n // The top element in the queue is the next root candidate.\n const root = queue.dequeue();\n // Part-based non-maximum suppression: We reject a root candidate if it is within a disk of `nmsRadius` pixels from the corresponding part of a previously detected instance.\n const rootImageCoords = vectors.getImageCoords(root.part, config.body.outputStride, offsetsBuffer);\n if (withinNmsRadiusOfCorrespondingPoint(poses, squaredNmsRadius, rootImageCoords, root.part.id)) continue;\n // Else start a new detection instance at the position of the root.\n const keypoints = decodePose.decodePose(root, scoresBuffer, offsetsBuffer, config.body.outputStride, displacementsFwdBuffer, displacementsBwdBuffer);\n const score = getInstanceScore(poses, squaredNmsRadius, keypoints);\n if (score > config.body.scoreThreshold) poses.push({ keypoints, score });\n }\n return poses;\n}\n", "import * as kpt from './keypoints';\n\nexport function eitherPointDoesntMeetConfidence(a, b, minConfidence) {\n return (a < minConfidence || b < minConfidence);\n}\n\nexport function getAdjacentKeyPoints(keypoints, minConfidence) {\n return kpt.connectedPartIndices.reduce((result, [leftJoint, rightJoint]) => {\n if (eitherPointDoesntMeetConfidence(keypoints[leftJoint].score, keypoints[rightJoint].score, minConfidence)) {\n return result;\n }\n result.push([keypoints[leftJoint], keypoints[rightJoint]]);\n return result;\n }, []);\n}\n\nconst { NEGATIVE_INFINITY, POSITIVE_INFINITY } = Number;\nexport function getBoundingBox(keypoints) {\n return keypoints.reduce(({ maxX, maxY, minX, minY }, { position: { x, y } }) => ({\n maxX: Math.max(maxX, x),\n maxY: Math.max(maxY, y),\n minX: Math.min(minX, x),\n minY: Math.min(minY, y),\n }), {\n maxX: NEGATIVE_INFINITY,\n maxY: NEGATIVE_INFINITY,\n minX: POSITIVE_INFINITY,\n minY: POSITIVE_INFINITY,\n });\n}\n\nexport function getBoundingBoxPoints(keypoints) {\n const { minX, minY, maxX, maxY } = getBoundingBox(keypoints);\n return [{ x: minX, y: minY }, { x: maxX, y: minY }, { x: maxX, y: maxY }, { x: minX, y: maxY }];\n}\n\nexport async function toTensorBuffers3D(tensors) {\n return Promise.all(tensors.map((tensor) => tensor.buffer()));\n}\n\nexport function scalePose(pose, scaleY, scaleX) {\n return {\n score: pose.score,\n keypoints: pose.keypoints.map(({ score, part, position }) => ({\n score,\n part,\n position: { x: position.x * scaleX, y: position.y * scaleY },\n })),\n };\n}\n\nexport function resizeTo(image, [targetH, targetW]) {\n const input = image.squeeze(0);\n const resized = input.resizeBilinear([targetH, targetW]);\n input.dispose();\n return resized;\n}\n\nexport function scaleAndFlipPoses(poses, [height, width], [inputResolutionHeight, inputResolutionWidth]) {\n const scaledPoses = poses.map((pose) => scalePose(pose, height / inputResolutionHeight, width / inputResolutionWidth));\n return scaledPoses;\n}\n", "// https://storage.googleapis.com/tfjs-models/demos/handpose/index.html\n\nimport { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as handdetector from './handdetector';\nimport * as handpipeline from './handpipeline';\nimport * as anchors from './anchors';\n\nconst MESH_ANNOTATIONS = {\n thumb: [1, 2, 3, 4],\n indexFinger: [5, 6, 7, 8],\n middleFinger: [9, 10, 11, 12],\n ringFinger: [13, 14, 15, 16],\n pinky: [17, 18, 19, 20],\n palmBase: [0],\n};\n\nexport class HandPose {\n handPipeline: any;\n\n constructor(handPipeline) {\n this.handPipeline = handPipeline;\n }\n\n static getAnnotations() {\n return MESH_ANNOTATIONS;\n }\n\n async estimateHands(input, config) {\n const predictions = await this.handPipeline.estimateHands(input, config);\n if (!predictions) return [];\n const hands: Array<{ confidence: number, box: any, landmarks: any, annotations: any }> = [];\n for (const prediction of predictions) {\n const annotations = {};\n if (prediction.landmarks) {\n for (const key of Object.keys(MESH_ANNOTATIONS)) {\n annotations[key] = MESH_ANNOTATIONS[key].map((index) => prediction.landmarks[index]);\n }\n }\n const box = prediction.box ? [\n Math.max(0, prediction.box.topLeft[0]),\n Math.max(0, prediction.box.topLeft[1]),\n Math.min(input.shape[2], prediction.box.bottomRight[0]) - prediction.box.topLeft[0],\n Math.min(input.shape[1], prediction.box.bottomRight[1]) - prediction.box.topLeft[1],\n ] : 0;\n hands.push({ confidence: prediction.confidence, box, landmarks: prediction.landmarks, annotations });\n }\n return hands;\n }\n}\n\nexport async function load(config) {\n const [handDetectorModel, handPoseModel] = await Promise.all([\n config.hand.enabled ? tf.loadGraphModel(config.hand.detector.modelPath, { fromTFHub: config.hand.detector.modelPath.includes('tfhub.dev') }) : null,\n config.hand.landmarks ? tf.loadGraphModel(config.hand.skeleton.modelPath, { fromTFHub: config.hand.skeleton.modelPath.includes('tfhub.dev') }) : null,\n ]);\n const handDetector = new handdetector.HandDetector(handDetectorModel, config.hand.inputSize, anchors.anchors);\n const handPipeline = new handpipeline.HandPipeline(handDetector, handPoseModel, config.hand.inputSize);\n const handPose = new HandPose(handPipeline);\n if (config.hand.enabled) log(`load model: ${config.hand.detector.modelPath.match(/\\/(.*)\\./)[1]}`);\n if (config.hand.landmarks) log(`load model: ${config.hand.skeleton.modelPath.match(/\\/(.*)\\./)[1]}`);\n return handPose;\n}\n", "import * as tf from '../../dist/tfjs.esm.js';\nimport * as box from './box';\n\nexport class HandDetector {\n model: any;\n anchors: any;\n anchorsTensor: any;\n inputSizeTensor: any;\n doubleInputSizeTensor: any;\n\n constructor(model, inputSize, anchorsAnnotated) {\n this.model = model;\n this.anchors = anchorsAnnotated.map((anchor) => [anchor.x_center, anchor.y_center]);\n this.anchorsTensor = tf.tensor2d(this.anchors);\n this.inputSizeTensor = tf.tensor1d([inputSize, inputSize]);\n this.doubleInputSizeTensor = tf.tensor1d([inputSize * 2, inputSize * 2]);\n }\n\n normalizeBoxes(boxes) {\n return tf.tidy(() => {\n const boxOffsets = tf.slice(boxes, [0, 0], [-1, 2]);\n const boxSizes = tf.slice(boxes, [0, 2], [-1, 2]);\n const boxCenterPoints = tf.add(tf.div(boxOffsets, this.inputSizeTensor), this.anchorsTensor);\n const halfBoxSizes = tf.div(boxSizes, this.doubleInputSizeTensor);\n const startPoints = tf.mul(tf.sub(boxCenterPoints, halfBoxSizes), this.inputSizeTensor);\n const endPoints = tf.mul(tf.add(boxCenterPoints, halfBoxSizes), this.inputSizeTensor);\n return tf.concat2d([startPoints, endPoints], 1);\n });\n }\n\n normalizeLandmarks(rawPalmLandmarks, index) {\n return tf.tidy(() => {\n const landmarks = tf.add(tf.div(rawPalmLandmarks.reshape([-1, 7, 2]), this.inputSizeTensor), this.anchors[index]);\n return tf.mul(landmarks, this.inputSizeTensor);\n });\n }\n\n async getBoxes(input, config) {\n const batched = this.model.predict(input);\n const predictions = batched.squeeze();\n batched.dispose();\n const scoresT = tf.tidy(() => tf.sigmoid(tf.slice(predictions, [0, 0], [-1, 1])).squeeze());\n const scores = scoresT.dataSync();\n const rawBoxes = tf.slice(predictions, [0, 1], [-1, 4]);\n const boxes = this.normalizeBoxes(rawBoxes);\n rawBoxes.dispose();\n const filteredT = await tf.image.nonMaxSuppressionAsync(boxes, scores, config.hand.maxHands, config.hand.iouThreshold, config.hand.scoreThreshold);\n const filtered = filteredT.arraySync();\n\n scoresT.dispose();\n filteredT.dispose();\n const hands: Array<{ box: any, palmLandmarks: any, confidence: number }> = [];\n for (const index of filtered) {\n if (scores[index] >= config.hand.minConfidence) {\n const matchingBox = tf.slice(boxes, [index, 0], [1, -1]);\n const rawPalmLandmarks = tf.slice(predictions, [index, 5], [1, 14]);\n const palmLandmarks = tf.tidy(() => this.normalizeLandmarks(rawPalmLandmarks, index).reshape([-1, 2]));\n rawPalmLandmarks.dispose();\n hands.push({ box: matchingBox, palmLandmarks, confidence: scores[index] });\n }\n }\n predictions.dispose();\n boxes.dispose();\n return hands;\n }\n\n async estimateHandBounds(input, config) {\n const inputHeight = input.shape[1];\n const inputWidth = input.shape[2];\n const image = tf.tidy(() => input.resizeBilinear([config.hand.inputSize, config.hand.inputSize]).div(127.5).sub(1));\n const predictions = await this.getBoxes(image, config);\n image.dispose();\n const hands: Array<{}> = [];\n if (!predictions || predictions.length === 0) return hands;\n for (const prediction of predictions) {\n const boxes = prediction.box.dataSync();\n const startPoint = boxes.slice(0, 2);\n const endPoint = boxes.slice(2, 4);\n const palmLandmarks = prediction.palmLandmarks.arraySync();\n prediction.box.dispose();\n prediction.palmLandmarks.dispose();\n hands.push(box.scaleBoxCoordinates({ startPoint, endPoint, palmLandmarks, confidence: prediction.confidence }, [inputWidth / config.hand.inputSize, inputHeight / config.hand.inputSize]));\n }\n return hands;\n }\n}\n", "import * as tf from '../../dist/tfjs.esm.js';\n\nexport function getBoxSize(box) {\n return [\n Math.abs(box.endPoint[0] - box.startPoint[0]),\n Math.abs(box.endPoint[1] - box.startPoint[1]),\n ];\n}\n\nexport function getBoxCenter(box) {\n return [\n box.startPoint[0] + (box.endPoint[0] - box.startPoint[0]) / 2,\n box.startPoint[1] + (box.endPoint[1] - box.startPoint[1]) / 2,\n ];\n}\n\nexport function cutBoxFromImageAndResize(box, image, cropSize) {\n const h = image.shape[1];\n const w = image.shape[2];\n const boxes = [[\n box.startPoint[1] / h,\n box.startPoint[0] / w,\n box.endPoint[1] / h,\n box.endPoint[0] / w,\n ]];\n return tf.image.cropAndResize(image, boxes, [0], cropSize);\n}\n\nexport function scaleBoxCoordinates(box, factor) {\n const startPoint = [box.startPoint[0] * factor[0], box.startPoint[1] * factor[1]];\n const endPoint = [box.endPoint[0] * factor[0], box.endPoint[1] * factor[1]];\n const palmLandmarks = box.palmLandmarks.map((coord) => {\n const scaledCoord = [coord[0] * factor[0], coord[1] * factor[1]];\n return scaledCoord;\n });\n return { startPoint, endPoint, palmLandmarks, confidence: box.confidence };\n}\n\nexport function enlargeBox(box, factor = 1.5) {\n const center = getBoxCenter(box);\n const size = getBoxSize(box);\n const newHalfSize = [factor * size[0] / 2, factor * size[1] / 2];\n const startPoint = [center[0] - newHalfSize[0], center[1] - newHalfSize[1]];\n const endPoint = [center[0] + newHalfSize[0], center[1] + newHalfSize[1]];\n return { startPoint, endPoint, palmLandmarks: box.palmLandmarks };\n}\n\nexport function squarifyBox(box) {\n const centers = getBoxCenter(box);\n const size = getBoxSize(box);\n const maxEdge = Math.max(...size);\n const halfSize = maxEdge / 2;\n const startPoint = [centers[0] - halfSize, centers[1] - halfSize];\n const endPoint = [centers[0] + halfSize, centers[1] + halfSize];\n return { startPoint, endPoint, palmLandmarks: box.palmLandmarks };\n}\n\nexport function shiftBox(box, shiftFactor) {\n const boxSize = [\n box.endPoint[0] - box.startPoint[0],\n box.endPoint[1] - box.startPoint[1],\n ];\n const shiftVector = [boxSize[0] * shiftFactor[0], boxSize[1] * shiftFactor[1]];\n const startPoint = [box.startPoint[0] + shiftVector[0], box.startPoint[1] + shiftVector[1]];\n const endPoint = [box.endPoint[0] + shiftVector[0], box.endPoint[1] + shiftVector[1]];\n return { startPoint, endPoint, palmLandmarks: box.palmLandmarks };\n}\n", "import * as tf from '../../dist/tfjs.esm.js';\nimport * as box from './box';\nimport * as util from './util';\n\n// const PALM_BOX_SHIFT_VECTOR = [0, -0.4];\nconst PALM_BOX_ENLARGE_FACTOR = 5; // default 3\n// const HAND_BOX_SHIFT_VECTOR = [0, -0.1]; // move detected hand box by x,y to ease landmark detection\nconst HAND_BOX_ENLARGE_FACTOR = 1.65; // default 1.65\nconst PALM_LANDMARK_IDS = [0, 5, 9, 13, 17, 1, 2];\nconst PALM_LANDMARKS_INDEX_OF_PALM_BASE = 0;\nconst PALM_LANDMARKS_INDEX_OF_MIDDLE_FINGER_BASE = 2;\n\nexport class HandPipeline {\n handDetector: any;\n landmarkDetector: any;\n inputSize: number;\n storedBoxes: any;\n skipped: number;\n detectedHands: number;\n\n constructor(handDetector, landmarkDetector, inputSize) {\n this.handDetector = handDetector;\n this.landmarkDetector = landmarkDetector;\n this.inputSize = inputSize;\n this.storedBoxes = [];\n this.skipped = 0;\n this.detectedHands = 0;\n }\n\n getBoxForPalmLandmarks(palmLandmarks, rotationMatrix) {\n const rotatedPalmLandmarks = palmLandmarks.map((coord) => util.rotatePoint([...coord, 1], rotationMatrix));\n const boxAroundPalm = this.calculateLandmarksBoundingBox(rotatedPalmLandmarks);\n // return box.enlargeBox(box.squarifyBox(box.shiftBox(boxAroundPalm, PALM_BOX_SHIFT_VECTOR)), PALM_BOX_ENLARGE_FACTOR);\n return box.enlargeBox(box.squarifyBox(boxAroundPalm), PALM_BOX_ENLARGE_FACTOR);\n }\n\n getBoxForHandLandmarks(landmarks) {\n const boundingBox = this.calculateLandmarksBoundingBox(landmarks);\n // const boxAroundHand = box.enlargeBox(box.squarifyBox(box.shiftBox(boundingBox, HAND_BOX_SHIFT_VECTOR)), HAND_BOX_ENLARGE_FACTOR);\n const boxAroundHand = box.enlargeBox(box.squarifyBox(boundingBox), HAND_BOX_ENLARGE_FACTOR);\n boxAroundHand.palmLandmarks = [];\n for (let i = 0; i < PALM_LANDMARK_IDS.length; i++) {\n boxAroundHand.palmLandmarks.push(landmarks[PALM_LANDMARK_IDS[i]].slice(0, 2));\n }\n return boxAroundHand;\n }\n\n transformRawCoords(rawCoords, box2, angle, rotationMatrix) {\n const boxSize = box.getBoxSize(box2);\n const scaleFactor = [boxSize[0] / this.inputSize, boxSize[1] / this.inputSize, (boxSize[0] + boxSize[1]) / this.inputSize / 2];\n const coordsScaled = rawCoords.map((coord) => [\n scaleFactor[0] * (coord[0] - this.inputSize / 2),\n scaleFactor[1] * (coord[1] - this.inputSize / 2),\n scaleFactor[2] * coord[2],\n ]);\n const coordsRotationMatrix = util.buildRotationMatrix(angle, [0, 0]);\n const coordsRotated = coordsScaled.map((coord) => {\n const rotated = util.rotatePoint(coord, coordsRotationMatrix);\n return [...rotated, coord[2]];\n });\n const inverseRotationMatrix = util.invertTransformMatrix(rotationMatrix);\n const boxCenter = [...box.getBoxCenter(box2), 1];\n const originalBoxCenter = [\n util.dot(boxCenter, inverseRotationMatrix[0]),\n util.dot(boxCenter, inverseRotationMatrix[1]),\n ];\n return coordsRotated.map((coord) => [\n coord[0] + originalBoxCenter[0],\n coord[1] + originalBoxCenter[1],\n coord[2],\n ]);\n }\n\n async estimateHands(image, config) {\n let useFreshBox = false;\n\n // run new detector every skipFrames unless we only want box to start with\n let boxes;\n if ((this.skipped === 0) || (this.skipped > config.hand.skipFrames) || !config.hand.landmarks || !config.videoOptimized) {\n boxes = await this.handDetector.estimateHandBounds(image, config);\n this.skipped = 0;\n }\n if (config.videoOptimized) this.skipped++;\n\n // if detector result count doesn't match current working set, use it to reset current working set\n if (boxes && (boxes.length > 0) && ((boxes.length !== this.detectedHands) && (this.detectedHands !== config.hand.maxHands) || !config.hand.landmarks)) {\n this.detectedHands = 0;\n this.storedBoxes = [...boxes];\n // for (const possible of boxes) this.storedBoxes.push(possible);\n if (this.storedBoxes.length > 0) useFreshBox = true;\n }\n const hands: Array<{}> = [];\n // log('hand', `skipped: ${this.skipped} max: ${config.hand.maxHands} detected: ${this.detectedHands} stored: ${this.storedBoxes.length} new: ${boxes?.length}`);\n\n // go through working set of boxes\n for (let i = 0; i < this.storedBoxes.length; i++) {\n const currentBox = this.storedBoxes[i];\n if (!currentBox) continue;\n if (config.hand.landmarks) {\n const angle = config.hand.rotation ? util.computeRotation(currentBox.palmLandmarks[PALM_LANDMARKS_INDEX_OF_PALM_BASE], currentBox.palmLandmarks[PALM_LANDMARKS_INDEX_OF_MIDDLE_FINGER_BASE]) : 0;\n const palmCenter = box.getBoxCenter(currentBox);\n const palmCenterNormalized = [palmCenter[0] / image.shape[2], palmCenter[1] / image.shape[1]];\n const rotatedImage = config.hand.rotation ? tf.image.rotateWithOffset(image, angle, 0, palmCenterNormalized) : image.clone();\n const rotationMatrix = util.buildRotationMatrix(-angle, palmCenter);\n const newBox = useFreshBox ? this.getBoxForPalmLandmarks(currentBox.palmLandmarks, rotationMatrix) : currentBox;\n const croppedInput = box.cutBoxFromImageAndResize(newBox, rotatedImage, [this.inputSize, this.inputSize]);\n const handImage = croppedInput.div(255);\n croppedInput.dispose();\n rotatedImage.dispose();\n const [confidenceT, keypoints] = await this.landmarkDetector.predict(handImage);\n handImage.dispose();\n const confidence = confidenceT.dataSync()[0];\n confidenceT.dispose();\n if (confidence >= config.hand.minConfidence) {\n const keypointsReshaped = tf.reshape(keypoints, [-1, 3]);\n const rawCoords = keypointsReshaped.arraySync();\n keypoints.dispose();\n keypointsReshaped.dispose();\n const coords = this.transformRawCoords(rawCoords, newBox, angle, rotationMatrix);\n const nextBoundingBox = this.getBoxForHandLandmarks(coords);\n this.storedBoxes[i] = nextBoundingBox;\n const result = {\n landmarks: coords,\n confidence,\n box: { topLeft: nextBoundingBox.startPoint, bottomRight: nextBoundingBox.endPoint },\n };\n hands.push(result);\n } else {\n this.storedBoxes[i] = null;\n }\n keypoints.dispose();\n } else {\n // const enlarged = box.enlargeBox(box.squarifyBox(box.shiftBox(currentBox, HAND_BOX_SHIFT_VECTOR)), HAND_BOX_ENLARGE_FACTOR);\n const enlarged = box.enlargeBox(box.squarifyBox(currentBox), HAND_BOX_ENLARGE_FACTOR);\n const result = {\n confidence: currentBox.confidence,\n box: { topLeft: enlarged.startPoint, bottomRight: enlarged.endPoint },\n };\n hands.push(result);\n }\n }\n this.storedBoxes = this.storedBoxes.filter((a) => a !== null);\n this.detectedHands = hands.length;\n return hands;\n }\n\n // eslint-disable-next-line class-methods-use-this\n calculateLandmarksBoundingBox(landmarks) {\n const xs = landmarks.map((d) => d[0]);\n const ys = landmarks.map((d) => d[1]);\n const startPoint = [Math.min(...xs), Math.min(...ys)];\n const endPoint = [Math.max(...xs), Math.max(...ys)];\n return { startPoint, endPoint };\n }\n}\n", "export function normalizeRadians(angle) {\n return angle - 2 * Math.PI * Math.floor((angle + Math.PI) / (2 * Math.PI));\n}\n\nexport function computeRotation(point1, point2) {\n const radians = Math.PI / 2 - Math.atan2(-(point2[1] - point1[1]), point2[0] - point1[0]);\n return normalizeRadians(radians);\n}\n\nexport const buildTranslationMatrix = (x, y) => [[1, 0, x], [0, 1, y], [0, 0, 1]];\n\nexport function dot(v1, v2) {\n let product = 0;\n for (let i = 0; i < v1.length; i++) {\n product += v1[i] * v2[i];\n }\n return product;\n}\n\nexport function getColumnFrom2DArr(arr, columnIndex) {\n const column: Array = [];\n for (let i = 0; i < arr.length; i++) {\n column.push(arr[i][columnIndex]);\n }\n return column;\n}\n\nexport function multiplyTransformMatrices(mat1, mat2) {\n const product: Array = [];\n const size = mat1.length;\n for (let row = 0; row < size; row++) {\n product.push([]);\n for (let col = 0; col < size; col++) {\n product[row].push(dot(mat1[row], getColumnFrom2DArr(mat2, col)));\n }\n }\n return product;\n}\n\nexport function buildRotationMatrix(rotation, center) {\n const cosA = Math.cos(rotation);\n const sinA = Math.sin(rotation);\n const rotationMatrix = [[cosA, -sinA, 0], [sinA, cosA, 0], [0, 0, 1]];\n const translationMatrix = buildTranslationMatrix(center[0], center[1]);\n const translationTimesRotation = multiplyTransformMatrices(translationMatrix, rotationMatrix);\n const negativeTranslationMatrix = buildTranslationMatrix(-center[0], -center[1]);\n return multiplyTransformMatrices(translationTimesRotation, negativeTranslationMatrix);\n}\n\nexport function invertTransformMatrix(matrix) {\n const rotationComponent = [[matrix[0][0], matrix[1][0]], [matrix[0][1], matrix[1][1]]];\n const translationComponent = [matrix[0][2], matrix[1][2]];\n const invertedTranslation = [\n -dot(rotationComponent[0], translationComponent),\n -dot(rotationComponent[1], translationComponent),\n ];\n return [\n rotationComponent[0].concat(invertedTranslation[0]),\n rotationComponent[1].concat(invertedTranslation[1]),\n [0, 0, 1],\n ];\n}\n\nexport function rotatePoint(homogeneousCoordinate, rotationMatrix) {\n return [\n dot(homogeneousCoordinate, rotationMatrix[0]),\n dot(homogeneousCoordinate, rotationMatrix[1]),\n ];\n}\n", "export const anchors = [\n {\n w: 1,\n h: 1,\n x_center: 0.015625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.015625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.046875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.046875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.078125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.078125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.109375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.109375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.140625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.140625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.171875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.171875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.203125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.203125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.234375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.234375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.265625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.265625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.296875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.296875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.328125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.328125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.359375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.359375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.390625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.390625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.421875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.421875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.453125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.453125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.484375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.484375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.515625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.515625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.546875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.546875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.578125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.578125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.609375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.609375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.640625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.640625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.671875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.671875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.703125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.703125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.734375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.734375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.765625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.765625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.796875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.796875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.828125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.828125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.859375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.859375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.890625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.890625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.921875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.921875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.953125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.953125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.984375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.984375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.015625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.015625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.046875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.046875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.078125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.078125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.109375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.109375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.140625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.140625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.171875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.171875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.203125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.203125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.234375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.234375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.265625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.265625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.296875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.296875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.328125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.328125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.359375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.359375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.390625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.390625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.421875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.421875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.453125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.453125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.484375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.484375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.515625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.515625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.546875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.546875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.578125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.578125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.609375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.609375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.640625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.640625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.671875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.671875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.703125,\n y_center: 0.046875,\n },\n {\n w: 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{\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.4375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.4375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.4375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.4375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.4375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.4375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.4375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.4375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.4375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.4375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.9375,\n },\n];\n", "export const body = (res) => {\n if (!res) return [];\n const gestures: Array<{ body: number, gesture: string }> = [];\n for (let i = 0; i < res.length; i++) {\n // raising hands\n const leftWrist = res[i].keypoints.find((a) => (a.part === 'leftWrist'));\n const rightWrist = res[i].keypoints.find((a) => (a.part === 'rightWrist'));\n const nose = res[i].keypoints.find((a) => (a.part === 'nose'));\n if (nose && leftWrist && rightWrist && (leftWrist.position.y < nose.position.y) && (rightWrist.position.y < nose.position.y)) gestures.push({ body: i, gesture: 'i give up' });\n else if (nose && leftWrist && (leftWrist.position.y < nose.position.y)) gestures.push({ body: i, gesture: 'raise left hand' });\n else if (nose && rightWrist && (rightWrist.position.y < nose.position.y)) gestures.push({ body: i, gesture: 'raise right hand' });\n\n // leaning\n const leftShoulder = res[i].keypoints.find((a) => (a.part === 'leftShoulder'));\n const rightShoulder = res[i].keypoints.find((a) => (a.part === 'rightShoulder'));\n if (leftShoulder && rightShoulder) gestures.push({ body: i, gesture: `leaning ${(leftShoulder.position.y > rightShoulder.position.y) ? 'left' : 'right'}` });\n }\n return gestures;\n};\n\nexport const face = (res) => {\n if (!res) return [];\n const gestures: Array<{ face: number, gesture: string }> = [];\n for (let i = 0; i < res.length; i++) {\n if (res[i].mesh && res[i].mesh.length > 0) {\n const eyeFacing = res[i].mesh[35][2] - res[i].mesh[263][2];\n if (Math.abs(eyeFacing) < 10) gestures.push({ face: i, gesture: 'facing camera' });\n else gestures.push({ face: i, gesture: `facing ${eyeFacing < 0 ? 'right' : 'left'}` });\n const openLeft = Math.abs(res[i].mesh[374][1] - res[i].mesh[386][1]) / Math.abs(res[i].mesh[443][1] - res[i].mesh[450][1]); // center of eye inner lid y coord div center of wider eye border y coord\n if (openLeft < 0.2) gestures.push({ face: i, gesture: 'blink left eye' });\n const openRight = Math.abs(res[i].mesh[145][1] - res[i].mesh[159][1]) / Math.abs(res[i].mesh[223][1] - res[i].mesh[230][1]); // center of eye inner lid y coord div center of wider eye border y coord\n if (openRight < 0.2) gestures.push({ face: i, gesture: 'blink right eye' });\n const mouthOpen = Math.min(100, 500 * Math.abs(res[i].mesh[13][1] - res[i].mesh[14][1]) / Math.abs(res[i].mesh[10][1] - res[i].mesh[152][1]));\n if (mouthOpen > 10) gestures.push({ face: i, gesture: `mouth ${Math.trunc(mouthOpen)}% open` });\n const chinDepth = res[i].mesh[152][2];\n if (Math.abs(chinDepth) > 10) gestures.push({ face: i, gesture: `head ${chinDepth < 0 ? 'up' : 'down'}` });\n }\n }\n return gestures;\n};\n\nexport const iris = (res) => {\n if (!res) return [];\n const gestures: Array<{ iris: number, gesture: string }> = [];\n for (let i = 0; i < res.length; i++) {\n if (!res[i].annotations || !res[i].annotations.leftEyeIris || !res[i].annotations.rightEyeIris) continue;\n const sizeXLeft = res[i].annotations.leftEyeIris[3][0] - res[i].annotations.leftEyeIris[1][0];\n const sizeYLeft = res[i].annotations.leftEyeIris[4][1] - res[i].annotations.leftEyeIris[2][1];\n const areaLeft = Math.abs(sizeXLeft * sizeYLeft);\n\n const sizeXRight = res[i].annotations.rightEyeIris[3][0] - res[i].annotations.rightEyeIris[1][0];\n const sizeYRight = res[i].annotations.rightEyeIris[4][1] - res[i].annotations.rightEyeIris[2][1];\n const areaRight = Math.abs(sizeXRight * sizeYRight);\n\n const difference = Math.abs(areaLeft - areaRight) / Math.max(areaLeft, areaRight);\n if (difference < 0.25) gestures.push({ iris: i, gesture: 'looking at camera' });\n }\n return gestures;\n};\n\nexport const hand = (res) => {\n if (!res) return [];\n const gestures: Array<{ hand: number, gesture: string }> = [];\n for (let i = 0; i < res.length; i++) {\n const fingers: Array<{ name: string, position: number }> = [];\n for (const [finger, pos] of Object.entries(res[i]['annotations'])) {\n // @ts-ignore\n if (finger !== 'palmBase') fingers.push({ name: finger.toLowerCase(), position: pos[0] }); // get tip of each finger\n }\n if (fingers && fingers.length > 0) {\n const closest = fingers.reduce((best, a) => (best.position[2] < a.position[2] ? best : a));\n const highest = fingers.reduce((best, a) => (best.position[1] < a.position[1] ? best : a));\n gestures.push({ hand: i, gesture: `${closest.name} forward ${highest.name} up` });\n }\n }\n return gestures;\n};\n", "// @ts-nocheck\n\nimport { log } from './log';\nimport * as tf from '../dist/tfjs.esm.js';\nimport * as fxImage from './imagefx';\n\n// internal temp canvases\nlet inCanvas = null;\nlet outCanvas = null;\n// instance of fximage\nlet fx = null;\n\n// process input image and return tensor\n// input can be tensor, imagedata, htmlimageelement, htmlvideoelement\n// input is resized and run through imagefx filter\nexport function process(input, config) {\n let tensor;\n if (input instanceof tf.Tensor) {\n tensor = tf.clone(input);\n } else {\n const originalWidth = input.naturalWidth || input.videoWidth || input.width || (input.shape && (input.shape[1] > 0));\n const originalHeight = input.naturalHeight || input.videoHeight || input.height || (input.shape && (input.shape[2] > 0));\n let targetWidth = originalWidth;\n let targetHeight = originalHeight;\n if (config.filter.width > 0) targetWidth = config.filter.width;\n else if (config.filter.height > 0) targetWidth = originalWidth * (config.filter.height / originalHeight);\n if (config.filter.height > 0) targetHeight = config.filter.height;\n else if (config.filter.width > 0) targetHeight = originalHeight * (config.filter.width / originalWidth);\n if (!targetWidth || !targetHeight) {\n log('Human: invalid input', input);\n return null;\n }\n if (!inCanvas || (inCanvas.width !== targetWidth) || (inCanvas.height !== targetHeight)) {\n inCanvas = (typeof OffscreenCanvas !== 'undefined') ? new OffscreenCanvas(targetWidth, targetHeight) : document.createElement('canvas');\n if (inCanvas.width !== targetWidth) inCanvas.width = targetWidth;\n if (inCanvas.height !== targetHeight) inCanvas.height = targetHeight;\n }\n const ctx = inCanvas.getContext('2d');\n if (input instanceof ImageData) ctx.putImageData(input, 0, 0);\n else ctx.drawImage(input, 0, 0, originalWidth, originalHeight, 0, 0, inCanvas.width, inCanvas.height);\n if (config.filter.enabled) {\n if (!fx || !outCanvas || (inCanvas.width !== outCanvas.width) || (inCanvas.height !== outCanvas.height)) {\n outCanvas = (typeof OffscreenCanvas !== 'undefined') ? new OffscreenCanvas(inCanvas.width, inCanvas.height) : document.createElement('canvas');\n if (outCanvas.width !== inCanvas.width) outCanvas.width = inCanvas.width;\n if (outCanvas.height !== inCanvas.height) outCanvas.height = inCanvas.height;\n log('created FX filter');\n fx = tf.ENV.flags.IS_BROWSER ? new fxImage.GLImageFilter({ canvas: outCanvas }) : null; // && (typeof document !== 'undefined')\n }\n if (!fx) return inCanvas;\n fx.reset();\n fx.addFilter('brightness', config.filter.brightness); // must have at least one filter enabled\n if (config.filter.contrast !== 0) fx.addFilter('contrast', config.filter.contrast);\n if (config.filter.sharpness !== 0) fx.addFilter('sharpen', config.filter.sharpness);\n if (config.filter.blur !== 0) fx.addFilter('blur', config.filter.blur);\n if (config.filter.saturation !== 0) fx.addFilter('saturation', config.filter.saturation);\n if (config.filter.hue !== 0) fx.addFilter('hue', config.filter.hue);\n if (config.filter.negative) fx.addFilter('negative');\n if (config.filter.sepia) fx.addFilter('sepia');\n if (config.filter.vintage) fx.addFilter('brownie');\n if (config.filter.sepia) fx.addFilter('sepia');\n if (config.filter.kodachrome) fx.addFilter('kodachrome');\n if (config.filter.technicolor) fx.addFilter('technicolor');\n if (config.filter.polaroid) fx.addFilter('polaroid');\n if (config.filter.pixelate !== 0) fx.addFilter('pixelate', config.filter.pixelate);\n fx.apply(inCanvas);\n // read pixel data\n /*\n const gl = outCanvas.getContext('webgl');\n if (gl) {\n const glBuffer = new Uint8Array(outCanvas.width * outCanvas.height * 4);\n const pixBuffer = new Uint8Array(outCanvas.width * outCanvas.height * 3);\n gl.readPixels(0, 0, outCanvas.width, outCanvas.height, gl.RGBA, gl.UNSIGNED_BYTE, glBuffer);\n // gl returns rbga while we only need rgb, so discarding alpha channel\n // gl returns starting point as lower left, so need to invert vertical\n let i = 0;\n for (let y = outCanvas.height - 1; y >= 0; y--) {\n for (let x = 0; x < outCanvas.width; x++) {\n const index = (x + y * outCanvas.width) * 4;\n pixBuffer[i++] = glBuffer[index + 0];\n pixBuffer[i++] = glBuffer[index + 1];\n pixBuffer[i++] = glBuffer[index + 2];\n }\n }\n outCanvas.data = pixBuffer;\n }\n */\n } else {\n outCanvas = inCanvas;\n if (fx) fx = null;\n }\n let pixels;\n if (outCanvas.data) {\n const shape = [outCanvas.height, outCanvas.width, 3];\n pixels = tf.tensor3d(outCanvas.data, shape, 'int32');\n } else if ((config.backend === 'webgl') || (outCanvas instanceof ImageData)) {\n // tf kernel-optimized method to get imagedata, also if input is imagedata, just use it\n pixels = tf.browser.fromPixels(outCanvas);\n } else {\n // cpu and wasm kernel does not implement efficient fromPixels method nor we can use canvas as-is, so we do a silly one more canvas\n const tempCanvas = (typeof OffscreenCanvas !== 'undefined') ? new OffscreenCanvas(targetWidth, targetHeight) : document.createElement('canvas');\n tempCanvas.width = targetWidth;\n tempCanvas.height = targetHeight;\n const tempCtx = tempCanvas.getContext('2d');\n tempCtx?.drawImage(outCanvas, 0, 0);\n const data = tempCtx?.getImageData(0, 0, targetWidth, targetHeight);\n pixels = tf.browser.fromPixels(data);\n }\n const casted = pixels.toFloat();\n tensor = casted.expandDims(0);\n pixels.dispose();\n casted.dispose();\n }\n return { tensor, canvas: config.filter.return ? outCanvas : null };\n}\n", "/*\nWebGLImageFilter - MIT Licensed\n2013, Dominic Szablewski - phoboslab.org\n\n*/\n\nfunction GLProgram(gl, vertexSource, fragmentSource) {\n const _collect = function (source, prefix, collection) {\n const r = new RegExp('\\\\b' + prefix + ' \\\\w+ (\\\\w+)', 'ig');\n source.replace(r, (match, name) => {\n collection[name] = 0;\n return match;\n });\n };\n\n const _compile = function (source, type) {\n const shader = gl.createShader(type);\n gl.shaderSource(shader, source);\n gl.compileShader(shader);\n if (!gl.getShaderParameter(shader, gl.COMPILE_STATUS)) {\n // @ts-ignore\n throw new Error('Filter: GL compile failed', gl.getShaderInfoLog(shader));\n }\n return shader;\n };\n\n this.uniform = {};\n this.attribute = {};\n const _vsh = _compile(vertexSource, gl.VERTEX_SHADER);\n const _fsh = _compile(fragmentSource, gl.FRAGMENT_SHADER);\n this.id = gl.createProgram();\n gl.attachShader(this.id, _vsh);\n gl.attachShader(this.id, _fsh);\n gl.linkProgram(this.id);\n\n if (!gl.getProgramParameter(this.id, gl.LINK_STATUS)) {\n // @ts-ignore\n throw new Error('Filter: GL link failed', gl.getProgramInfoLog(this.id));\n }\n\n gl.useProgram(this.id);\n // Collect attributes\n _collect(vertexSource, 'attribute', this.attribute);\n for (const a in this.attribute) this.attribute[a] = gl.getAttribLocation(this.id, a);\n // Collect uniforms\n _collect(vertexSource, 'uniform', this.uniform);\n _collect(fragmentSource, 'uniform', this.uniform);\n for (const u in this.uniform) this.uniform[u] = gl.getUniformLocation(this.id, u);\n}\n\n// export const GLImageFilter = function (params) {\nexport function GLImageFilter(params) {\n if (!params) params = { };\n let _drawCount = 0;\n let _sourceTexture = null;\n let _lastInChain = false;\n let _currentFramebufferIndex = -1;\n let _tempFramebuffers = [null, null];\n let _filterChain = [];\n let _width = -1;\n let _height = -1;\n let _vertexBuffer = null;\n let _currentProgram = null;\n const _filter = {};\n const _canvas = params.canvas || document.createElement('canvas');\n // key is the shader program source, value is the compiled program\n const _shaderProgramCache = { };\n const DRAW = { INTERMEDIATE: 1 };\n const gl = _canvas.getContext('webgl');\n if (!gl) throw new Error('Filter: getContext() failed');\n\n this.addFilter = function (name) {\n // eslint-disable-next-line prefer-rest-params\n const args = Array.prototype.slice.call(arguments, 1);\n const filter = _filter[name];\n _filterChain.push({ func: filter, args });\n };\n\n this.reset = function () {\n _filterChain = [];\n };\n\n const _resize = function (width, height) {\n // Same width/height? Nothing to do here\n if (width === _width && height === _height) { return; }\n _canvas.width = width;\n _width = width;\n _canvas.height = height;\n _height = height;\n // Create the context if we don't have it yet\n if (!_vertexBuffer) {\n // Create the vertex buffer for the two triangles [x, y, u, v] * 6\n const vertices = new Float32Array([\n -1, -1, 0, 1, 1, -1, 1, 1, -1, 1, 0, 0,\n -1, 1, 0, 0, 1, -1, 1, 1, 1, 1, 1, 0,\n ]);\n // eslint-disable-next-line no-unused-expressions\n (_vertexBuffer = gl.createBuffer(), gl.bindBuffer(gl.ARRAY_BUFFER, _vertexBuffer));\n gl.bufferData(gl.ARRAY_BUFFER, vertices, gl.STATIC_DRAW);\n gl.pixelStorei(gl.UNPACK_PREMULTIPLY_ALPHA_WEBGL, true);\n }\n gl.viewport(0, 0, _width, _height);\n // Delete old temp framebuffers\n _tempFramebuffers = [null, null];\n };\n\n const _createFramebufferTexture = function (width, height) {\n const fbo = gl.createFramebuffer();\n gl.bindFramebuffer(gl.FRAMEBUFFER, fbo);\n const renderbuffer = gl.createRenderbuffer();\n gl.bindRenderbuffer(gl.RENDERBUFFER, renderbuffer);\n const texture = gl.createTexture();\n gl.bindTexture(gl.TEXTURE_2D, texture);\n gl.texImage2D(gl.TEXTURE_2D, 0, gl.RGBA, width, height, 0, gl.RGBA, gl.UNSIGNED_BYTE, null);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MAG_FILTER, gl.LINEAR);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MIN_FILTER, gl.LINEAR);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_S, gl.CLAMP_TO_EDGE);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_T, gl.CLAMP_TO_EDGE);\n gl.framebufferTexture2D(gl.FRAMEBUFFER, gl.COLOR_ATTACHMENT0, gl.TEXTURE_2D, texture, 0);\n gl.bindTexture(gl.TEXTURE_2D, null);\n gl.bindFramebuffer(gl.FRAMEBUFFER, null);\n return { fbo, texture };\n };\n\n const _getTempFramebuffer = function (index) {\n // @ts-ignore\n _tempFramebuffers[index] = _tempFramebuffers[index] || _createFramebufferTexture(_width, _height);\n return _tempFramebuffers[index];\n };\n\n const _draw = function (flags = null) {\n let source = null;\n let target = null;\n let flipY = false;\n // Set up the source\n if (_drawCount === 0) {\n // First draw call - use the source texture\n source = _sourceTexture;\n } else {\n // All following draw calls use the temp buffer last drawn to\n // @ts-ignore\n source = _getTempFramebuffer(_currentFramebufferIndex)?.texture;\n }\n _drawCount++;\n // Set up the target\n if (_lastInChain && !(flags & DRAW.INTERMEDIATE)) {\n // Last filter in our chain - draw directly to the WebGL Canvas. We may\n // also have to flip the image vertically now\n target = null;\n flipY = _drawCount % 2 === 0;\n } else {\n // Intermediate draw call - get a temp buffer to draw to\n _currentFramebufferIndex = (_currentFramebufferIndex + 1) % 2;\n // @ts-ignore\n target = _getTempFramebuffer(_currentFramebufferIndex)?.fbo;\n }\n // Bind the source and target and draw the two triangles\n gl.bindTexture(gl.TEXTURE_2D, source);\n gl.bindFramebuffer(gl.FRAMEBUFFER, target);\n gl.uniform1f(_currentProgram.uniform.flipY, (flipY ? -1 : 1));\n gl.drawArrays(gl.TRIANGLES, 0, 6);\n };\n\n this.apply = function (image) {\n _resize(image.width, image.height);\n _drawCount = 0;\n // Create the texture for the input image if we haven't yet\n if (!_sourceTexture) _sourceTexture = gl.createTexture();\n gl.bindTexture(gl.TEXTURE_2D, _sourceTexture);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_S, gl.CLAMP_TO_EDGE);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_T, gl.CLAMP_TO_EDGE);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MIN_FILTER, gl.NEAREST);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MAG_FILTER, gl.NEAREST);\n gl.texImage2D(gl.TEXTURE_2D, 0, gl.RGBA, gl.RGBA, gl.UNSIGNED_BYTE, image);\n // No filters? Just draw\n if (_filterChain.length === 0) {\n // const program = _compileShader(SHADER.FRAGMENT_IDENTITY);\n _draw();\n return _canvas;\n }\n for (let i = 0; i < _filterChain.length; i++) {\n _lastInChain = (i === _filterChain.length - 1);\n const f = _filterChain[i];\n f.func.apply(this, f.args || []);\n }\n return _canvas;\n };\n\n const _compileShader = function (fragmentSource) {\n if (_shaderProgramCache[fragmentSource]) {\n _currentProgram = _shaderProgramCache[fragmentSource];\n gl.useProgram(_currentProgram.id);\n return _currentProgram;\n }\n // Compile shaders\n const SHADER = {};\n SHADER.VERTEX_IDENTITY = [\n 'precision highp float;',\n 'attribute vec2 pos;',\n 'attribute vec2 uv;',\n 'varying vec2 vUv;',\n 'uniform float flipY;',\n 'void main(void) {',\n 'vUv = uv;',\n 'gl_Position = vec4(pos.x, pos.y*flipY, 0.0, 1.);',\n '}',\n ].join('\\n');\n SHADER.FRAGMENT_IDENTITY = [\n 'precision highp float;',\n 'varying vec2 vUv;',\n 'uniform sampler2D texture;',\n 'void main(void) {',\n 'gl_FragColor = texture2D(texture, vUv);',\n '}',\n ].join('\\n');\n _currentProgram = new GLProgram(gl, SHADER.VERTEX_IDENTITY, fragmentSource);\n const floatSize = Float32Array.BYTES_PER_ELEMENT;\n const vertSize = 4 * floatSize;\n gl.enableVertexAttribArray(_currentProgram.attribute.pos);\n gl.vertexAttribPointer(_currentProgram.attribute.pos, 2, gl.FLOAT, false, vertSize, 0 * floatSize);\n gl.enableVertexAttribArray(_currentProgram.attribute.uv);\n gl.vertexAttribPointer(_currentProgram.attribute.uv, 2, gl.FLOAT, false, vertSize, 2 * floatSize);\n _shaderProgramCache[fragmentSource] = _currentProgram;\n return _currentProgram;\n };\n\n // -------------------------------------------------------------------------\n // Color Matrix Filter\n _filter.colorMatrix = function (matrix) {\n // Create a Float32 Array and normalize the offset component to 0-1\n const m = new Float32Array(matrix);\n m[4] /= 255;\n m[9] /= 255;\n m[14] /= 255;\n m[19] /= 255;\n // Can we ignore the alpha value? Makes things a bit faster.\n const shader = (m[18] === 1 && m[3] === 0 && m[8] === 0 && m[13] === 0 && m[15] === 0 && m[16] === 0 && m[17] === 0 && m[19] === 0)\n ? _filter.colorMatrix.SHADER.WITHOUT_ALPHA\n : _filter.colorMatrix.SHADER.WITH_ALPHA;\n const program = _compileShader(shader);\n gl.uniform1fv(program.uniform.m, m);\n _draw();\n };\n _filter.colorMatrix.SHADER = {};\n _filter.colorMatrix.SHADER.WITH_ALPHA = [\n 'precision highp float;',\n 'varying vec2 vUv;',\n 'uniform sampler2D texture;',\n 'uniform float m[20];',\n 'void main(void) {',\n 'vec4 c = texture2D(texture, vUv);',\n 'gl_FragColor.r = m[0] * c.r + m[1] * c.g + m[2] * c.b + m[3] * c.a + m[4];',\n 'gl_FragColor.g = m[5] * c.r + m[6] * c.g + m[7] * c.b + m[8] * c.a + m[9];',\n 'gl_FragColor.b = m[10] * c.r + m[11] * c.g + m[12] * c.b + m[13] * c.a + m[14];',\n 'gl_FragColor.a = m[15] * c.r + m[16] * c.g + m[17] * c.b + m[18] * c.a + m[19];',\n '}',\n ].join('\\n');\n _filter.colorMatrix.SHADER.WITHOUT_ALPHA = [\n 'precision highp float;',\n 'varying vec2 vUv;',\n 'uniform sampler2D texture;',\n 'uniform float m[20];',\n 'void main(void) {',\n 'vec4 c = texture2D(texture, vUv);',\n 'gl_FragColor.r = m[0] * c.r + m[1] * c.g + m[2] * c.b + m[4];',\n 'gl_FragColor.g = m[5] * c.r + m[6] * c.g + m[7] * c.b + m[9];',\n 'gl_FragColor.b = m[10] * c.r + m[11] * c.g + m[12] * c.b + m[14];',\n 'gl_FragColor.a = c.a;',\n '}',\n ].join('\\n');\n\n _filter.brightness = function (brightness) {\n const b = (brightness || 0) + 1;\n _filter.colorMatrix([\n b, 0, 0, 0, 0,\n 0, b, 0, 0, 0,\n 0, 0, b, 0, 0,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.saturation = function (amount) {\n const x = (amount || 0) * 2 / 3 + 1;\n const y = ((x - 1) * -0.5);\n _filter.colorMatrix([\n x, y, y, 0, 0,\n y, x, y, 0, 0,\n y, y, x, 0, 0,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.desaturate = function () {\n _filter.saturation(-1);\n };\n\n _filter.contrast = function (amount) {\n const v = (amount || 0) + 1;\n const o = -128 * (v - 1);\n\n _filter.colorMatrix([\n v, 0, 0, 0, o,\n 0, v, 0, 0, o,\n 0, 0, v, 0, o,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.negative = function () {\n _filter.contrast(-2);\n };\n\n _filter.hue = function (rotation) {\n rotation = (rotation || 0) / 180 * Math.PI;\n const cos = Math.cos(rotation);\n const sin = Math.sin(rotation);\n const lumR = 0.213;\n const lumG = 0.715;\n const lumB = 0.072;\n\n _filter.colorMatrix([\n lumR + cos * (1 - lumR) + sin * (-lumR), lumG + cos * (-lumG) + sin * (-lumG), lumB + cos * (-lumB) + sin * (1 - lumB), 0, 0,\n lumR + cos * (-lumR) + sin * (0.143), lumG + cos * (1 - lumG) + sin * (0.140), lumB + cos * (-lumB) + sin * (-0.283), 0, 0,\n lumR + cos * (-lumR) + sin * (-(1 - lumR)), lumG + cos * (-lumG) + sin * (lumG), lumB + cos * (1 - lumB) + sin * (lumB), 0, 0,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.desaturateLuminance = function () {\n _filter.colorMatrix([\n 0.2764723, 0.9297080, 0.0938197, 0, -37.1,\n 0.2764723, 0.9297080, 0.0938197, 0, -37.1,\n 0.2764723, 0.9297080, 0.0938197, 0, -37.1,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.sepia = function () {\n _filter.colorMatrix([\n 0.393, 0.7689999, 0.18899999, 0, 0,\n 0.349, 0.6859999, 0.16799999, 0, 0,\n 0.272, 0.5339999, 0.13099999, 0, 0,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.brownie = function () {\n _filter.colorMatrix([\n 0.5997023498159715, 0.34553243048391263, -0.2708298674538042, 0, 47.43192855600873,\n -0.037703249837783157, 0.8609577587992641, 0.15059552388459913, 0, -36.96841498319127,\n 0.24113635128153335, -0.07441037908422492, 0.44972182064877153, 0, -7.562075277591283,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.vintagePinhole = function () {\n _filter.colorMatrix([\n 0.6279345635605994, 0.3202183420819367, -0.03965408211312453, 0, 9.651285835294123,\n 0.02578397704808868, 0.6441188644374771, 0.03259127616149294, 0, 7.462829176470591,\n 0.0466055556782719, -0.0851232987247891, 0.5241648018700465, 0, 5.159190588235296,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.kodachrome = function () {\n _filter.colorMatrix([\n 1.1285582396593525, -0.3967382283601348, -0.03992559172921793, 0, 63.72958762196502,\n -0.16404339962244616, 1.0835251566291304, -0.05498805115633132, 0, 24.732407896706203,\n -0.16786010706155763, -0.5603416277695248, 1.6014850761964943, 0, 35.62982807460946,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.technicolor = function () {\n _filter.colorMatrix([\n 1.9125277891456083, -0.8545344976951645, -0.09155508482755585, 0, 11.793603434377337,\n -0.3087833385928097, 1.7658908555458428, -0.10601743074722245, 0, -70.35205161461398,\n -0.231103377548616, -0.7501899197440212, 1.847597816108189, 0, 30.950940869491138,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.polaroid = function () {\n _filter.colorMatrix([\n 1.438, -0.062, -0.062, 0, 0,\n -0.122, 1.378, -0.122, 0, 0,\n -0.016, -0.016, 1.483, 0, 0,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.shiftToBGR = function () {\n _filter.colorMatrix([\n 0, 0, 1, 0, 0,\n 0, 1, 0, 0, 0,\n 1, 0, 0, 0, 0,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n // -------------------------------------------------------------------------\n // Convolution Filter\n _filter.convolution = function (matrix) {\n const m = new Float32Array(matrix);\n const pixelSizeX = 1 / _width;\n const pixelSizeY = 1 / _height;\n const program = _compileShader(_filter.convolution.SHADER);\n gl.uniform1fv(program.uniform.m, m);\n gl.uniform2f(program.uniform.px, pixelSizeX, pixelSizeY);\n _draw();\n };\n\n _filter.convolution.SHADER = [\n 'precision highp float;',\n 'varying vec2 vUv;',\n 'uniform sampler2D texture;',\n 'uniform vec2 px;',\n 'uniform float m[9];',\n 'void main(void) {',\n 'vec4 c11 = texture2D(texture, vUv - px);', // top left\n 'vec4 c12 = texture2D(texture, vec2(vUv.x, vUv.y - px.y));', // top center\n 'vec4 c13 = texture2D(texture, vec2(vUv.x + px.x, vUv.y - px.y));', // top right\n 'vec4 c21 = texture2D(texture, vec2(vUv.x - px.x, vUv.y) );', // mid left\n 'vec4 c22 = texture2D(texture, vUv);', // mid center\n 'vec4 c23 = texture2D(texture, vec2(vUv.x + px.x, vUv.y) );', // mid right\n 'vec4 c31 = texture2D(texture, vec2(vUv.x - px.x, vUv.y + px.y) );', // bottom left\n 'vec4 c32 = texture2D(texture, vec2(vUv.x, vUv.y + px.y) );', // bottom center\n 'vec4 c33 = texture2D(texture, vUv + px );', // bottom right\n 'gl_FragColor = ',\n 'c11 * m[0] + c12 * m[1] + c22 * m[2] +',\n 'c21 * m[3] + c22 * m[4] + c23 * m[5] +',\n 'c31 * m[6] + c32 * m[7] + c33 * m[8];',\n 'gl_FragColor.a = c22.a;',\n '}',\n ].join('\\n');\n\n _filter.detectEdges = function () {\n _filter.convolution.call(this, [\n 0, 1, 0,\n 1, -4, 1,\n 0, 1, 0,\n ]);\n };\n\n _filter.sobelX = function () {\n _filter.convolution.call(this, [\n -1, 0, 1,\n -2, 0, 2,\n -1, 0, 1,\n ]);\n };\n\n _filter.sobelY = function () {\n _filter.convolution.call(this, [\n -1, -2, -1,\n 0, 0, 0,\n 1, 2, 1,\n ]);\n };\n\n _filter.sharpen = function (amount) {\n const a = amount || 1;\n _filter.convolution.call(this, [\n 0, -1 * a, 0,\n -1 * a, 1 + 4 * a, -1 * a,\n 0, -1 * a, 0,\n ]);\n };\n\n _filter.emboss = function (size) {\n const s = size || 1;\n _filter.convolution.call(this, [\n -2 * s, -1 * s, 0,\n -1 * s, 1, 1 * s,\n 0, 1 * s, 2 * s,\n ]);\n };\n\n // -------------------------------------------------------------------------\n // Blur Filter\n _filter.blur = function (size) {\n const blurSizeX = (size / 7) / _width;\n const blurSizeY = (size / 7) / _height;\n const program = _compileShader(_filter.blur.SHADER);\n // Vertical\n gl.uniform2f(program.uniform.px, 0, blurSizeY);\n _draw(DRAW.INTERMEDIATE);\n // Horizontal\n gl.uniform2f(program.uniform.px, blurSizeX, 0);\n _draw();\n };\n\n _filter.blur.SHADER = [\n 'precision highp float;',\n 'varying vec2 vUv;',\n 'uniform sampler2D texture;',\n 'uniform vec2 px;',\n 'void main(void) {',\n 'gl_FragColor = vec4(0.0);',\n 'gl_FragColor += texture2D(texture, vUv + vec2(-7.0*px.x, -7.0*px.y))*0.0044299121055113265;',\n 'gl_FragColor += texture2D(texture, vUv + vec2(-6.0*px.x, -6.0*px.y))*0.00895781211794;',\n 'gl_FragColor += texture2D(texture, vUv + vec2(-5.0*px.x, -5.0*px.y))*0.0215963866053;',\n 'gl_FragColor += texture2D(texture, vUv + vec2(-4.0*px.x, -4.0*px.y))*0.0443683338718;',\n 'gl_FragColor += texture2D(texture, vUv + vec2(-3.0*px.x, -3.0*px.y))*0.0776744219933;',\n 'gl_FragColor += texture2D(texture, vUv + vec2(-2.0*px.x, -2.0*px.y))*0.115876621105;',\n 'gl_FragColor += texture2D(texture, vUv + vec2(-1.0*px.x, -1.0*px.y))*0.147308056121;',\n 'gl_FragColor += texture2D(texture, vUv )*0.159576912161;',\n 'gl_FragColor += texture2D(texture, vUv + vec2( 1.0*px.x, 1.0*px.y))*0.147308056121;',\n 'gl_FragColor += texture2D(texture, vUv + vec2( 2.0*px.x, 2.0*px.y))*0.115876621105;',\n 'gl_FragColor += texture2D(texture, vUv + vec2( 3.0*px.x, 3.0*px.y))*0.0776744219933;',\n 'gl_FragColor += texture2D(texture, vUv + vec2( 4.0*px.x, 4.0*px.y))*0.0443683338718;',\n 'gl_FragColor += texture2D(texture, vUv + vec2( 5.0*px.x, 5.0*px.y))*0.0215963866053;',\n 'gl_FragColor += texture2D(texture, vUv + vec2( 6.0*px.x, 6.0*px.y))*0.00895781211794;',\n 'gl_FragColor += texture2D(texture, vUv + vec2( 7.0*px.x, 7.0*px.y))*0.0044299121055113265;',\n '}',\n ].join('\\n');\n\n // -------------------------------------------------------------------------\n // Pixelate Filter\n _filter.pixelate = function (size) {\n const blurSizeX = (size) / _width;\n const blurSizeY = (size) / _height;\n const program = _compileShader(_filter.pixelate.SHADER);\n // Horizontal\n gl.uniform2f(program.uniform.size, blurSizeX, blurSizeY);\n _draw();\n };\n\n _filter.pixelate.SHADER = [\n 'precision highp float;',\n 'varying vec2 vUv;',\n 'uniform vec2 size;',\n 'uniform sampler2D texture;',\n 'vec2 pixelate(vec2 coord, vec2 size) {',\n 'return floor( coord / size ) * size;',\n '}',\n 'void main(void) {',\n 'gl_FragColor = vec4(0.0);',\n 'vec2 coord = pixelate(vUv, size);',\n 'gl_FragColor += texture2D(texture, coord);',\n '}',\n ].join('\\n');\n}\n", "/* eslint-disable indent */\n/* eslint-disable no-multi-spaces */\n\nexport default {\n backend: 'webgl', // select tfjs backend to use\n wasmPath: '../assets/', // path for wasm binaries\n // only used for backend: wasm\n async: true, // execute enabled models in parallel\n // this disables per-model performance data but\n // slightly increases performance\n // cannot be used if profiling is enabled\n profile: false, // enable tfjs profiling\n // this has significant performance impact\n // only enable for debugging purposes\n // currently only implemented for age,gender,emotion models\n deallocate: false, // aggresively deallocate gpu memory after each usage\n // only valid for webgl backend and only during first call\n // cannot be changed unless library is reloaded\n // this has significant performance impact\n // only enable on low-memory devices\n scoped: false, // enable scoped runs\n // some models *may* have memory leaks,\n // this wrapps everything in a local scope at a cost of performance\n // typically not needed\n videoOptimized: true, // perform additional optimizations when input is video,\n // must be disabled for images\n // basically this skips object box boundary detection for every n frames\n // while maintaining in-box detection since objects cannot move that fast\n warmup: 'face', // what to use for human.warmup(), can be 'none', 'face', 'full'\n // warmup pre-initializes all models for faster inference but can take\n // significant time on startup\n filter: {\n enabled: true, // enable image pre-processing filters\n width: 0, // resize input width\n height: 0, // resize input height\n // if both width and height are set to 0, there is no resizing\n // if just one is set, second one is scaled automatically\n // if both are set, values are used as-is\n return: true, // return processed canvas imagedata in result\n brightness: 0, // range: -1 (darken) to 1 (lighten)\n contrast: 0, // range: -1 (reduce contrast) to 1 (increase contrast)\n sharpness: 0, // range: 0 (no sharpening) to 1 (maximum sharpening)\n blur: 0, // range: 0 (no blur) to N (blur radius in pixels)\n saturation: 0, // range: -1 (reduce saturation) to 1 (increase saturation)\n hue: 0, // range: 0 (no change) to 360 (hue rotation in degrees)\n negative: false, // image negative\n sepia: false, // image sepia colors\n vintage: false, // image vintage colors\n kodachrome: false, // image kodachrome colors\n technicolor: false, // image technicolor colors\n polaroid: false, // image polaroid camera effect\n pixelate: 0, // range: 0 (no pixelate) to N (number of pixels to pixelate)\n },\n\n gesture: {\n enabled: true, // enable simple gesture recognition\n },\n\n face: {\n enabled: true, // controls if specified modul is enabled\n // face.enabled is required for all face models:\n // detector, mesh, iris, age, gender, emotion\n // (note: module is not loaded until it is required)\n detector: {\n modelPath: '../models/blazeface-back.json', // can be 'blazeface-front', 'blazeface-front' or 'faceboxes'\n // 'blazeface-front' is blazeface model optimized for large faces such as front-facing camera\n // 'blazeface-back' is blazeface model optimized for smaller and/or distanct faces\n // 'faceboxes' is alternative model to 'blazeface\n inputSize: 256, // fixed value: 128 for front and 256 for 'back'\n rotation: false, // use best-guess rotated face image or just box with rotation as-is\n // false means higher performance, but incorrect mesh mapping if face angle is above 20 degrees\n maxFaces: 10, // maximum number of faces detected in the input\n // should be set to the minimum number for performance\n skipFrames: 11, // how many frames to go without re-running the face bounding box detector\n // only used for video inputs\n // e.g., if model is running st 25 FPS, we can re-use existing bounding\n // box for updated face analysis as the head probably hasn't moved much\n // in short time (10 * 1/25 = 0.25 sec)\n minConfidence: 0.5, // threshold for discarding a prediction\n iouThreshold: 0.2, // threshold for deciding whether boxes overlap too much in\n // non-maximum suppression (0.1 means drop if overlap 10%)\n scoreThreshold: 0.5, // threshold for deciding when to remove boxes based on score\n // in non-maximum suppression,\n // this is applied on detection objects only and before minConfidence\n },\n\n mesh: {\n enabled: true,\n modelPath: '../models/facemesh.json',\n inputSize: 192, // fixed value\n returnRawData: false, // in addition to standard mesh and box values, return raw normalized values as well\n },\n\n iris: {\n enabled: true,\n modelPath: '../models/iris.json',\n inputSize: 64, // fixed value\n },\n\n age: {\n enabled: true,\n modelPath: '../models/age-ssrnet-imdb.json', // can be 'age-ssrnet-imdb' or 'age-ssrnet-wiki'\n // which determines training set for model\n inputSize: 64, // fixed value\n skipFrames: 31, // how many frames to go without re-running the detector\n // only used for video inputs\n },\n\n gender: {\n enabled: true,\n minConfidence: 0.1, // threshold for discarding a prediction\n modelPath: '../models/gender-ssrnet-imdb.json', // can be 'gender', 'gender-ssrnet-imdb' or 'gender-ssrnet-wiki'\n inputSize: 64, // fixed value\n skipFrames: 41, // how many frames to go without re-running the detector\n // only used for video inputs\n },\n\n emotion: {\n enabled: true,\n inputSize: 64, // fixed value\n minConfidence: 0.2, // threshold for discarding a prediction\n skipFrames: 21, // how many frames to go without re-running the detector\n modelPath: '../models/emotion-large.json', // can be 'mini', 'large'\n },\n\n embedding: {\n enabled: false,\n inputSize: 112, // fixed value\n modelPath: '../models/mobilefacenet.json',\n },\n },\n\n body: {\n enabled: true,\n modelPath: '../models/posenet.json',\n inputSize: 257, // fixed value\n maxDetections: 10, // maximum number of people detected in the input\n // should be set to the minimum number for performance\n scoreThreshold: 0.5, // threshold for deciding when to remove boxes based on score\n // in non-maximum suppression\n nmsRadius: 20, // radius for deciding points are too close in non-maximum suppression\n outputStride: 16, // size of block in which to run point detectopn, smaller value means higher resolution\n // defined by model itself, can be 8, 16, or 32\n modelType: 'MobileNet', // Human includes MobileNet version, but you can switch to ResNet\n },\n\n hand: {\n enabled: true,\n rotation: false, // use best-guess rotated hand image or just box with rotation as-is\n // false means higher performance, but incorrect finger mapping if hand is inverted\n inputSize: 256, // fixed value\n skipFrames: 12, // how many frames to go without re-running the hand bounding box detector\n // only used for video inputs\n // e.g., if model is running st 25 FPS, we can re-use existing bounding\n // box for updated hand skeleton analysis as the hand probably\n // hasn't moved much in short time (10 * 1/25 = 0.25 sec)\n minConfidence: 0.1, // threshold for discarding a prediction\n iouThreshold: 0.1, // threshold for deciding whether boxes overlap too much\n // in non-maximum suppression\n scoreThreshold: 0.5, // threshold for deciding when to remove boxes based on\n // score in non-maximum suppression\n maxHands: 1, // maximum number of hands detected in the input\n // should be set to the minimum number for performance\n landmarks: true, // detect hand landmarks or just hand boundary box\n detector: {\n modelPath: '../models/handdetect.json',\n },\n skeleton: {\n modelPath: '../models/handskeleton.json',\n },\n },\n};\n", "// data:image/jpeg;base64,\nexport const face = 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+ "sourcesContent": ["export * from '@tensorflow/tfjs-node';\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as blazeface from './blazeface';\nimport * as facepipeline from './facepipeline';\nimport * as coords from './coords';\n\nexport class MediaPipeFaceMesh {\n facePipeline: any;\n config: any;\n\n constructor(blazeFace, blazeMeshModel, irisModel, config) {\n this.facePipeline = new facepipeline.Pipeline(blazeFace, blazeMeshModel, irisModel, config);\n this.config = config;\n }\n\n async estimateFaces(input, config) {\n const predictions = await this.facePipeline.predict(input, config);\n const results: Array<{}> = [];\n for (const prediction of (predictions || [])) {\n if (prediction.isDisposedInternal) continue; // guard against disposed tensors on long running operations such as pause in middle of processing\n const mesh = prediction.coords ? prediction.coords.arraySync() : null;\n const meshRaw = prediction.rawCoords;\n const annotations = {};\n if (mesh && mesh.length > 0) {\n for (const key of Object.keys(coords.MESH_ANNOTATIONS)) {\n annotations[key] = coords.MESH_ANNOTATIONS[key].map((index) => mesh[index]);\n }\n }\n const boxRaw = (config.face.mesh.returnRawData && prediction.box) ? { topLeft: prediction.box.startPoint, bottomRight: prediction.box.endPoint } : null;\n const box = prediction.box ? [\n Math.max(0, prediction.box.startPoint[0]),\n Math.max(0, prediction.box.startPoint[1]),\n Math.min(input.shape[2], prediction.box.endPoint[0]) - prediction.box.startPoint[0],\n Math.min(input.shape[1], prediction.box.endPoint[1]) - prediction.box.startPoint[1],\n ] : 0;\n results.push({ confidence: prediction.confidence || 0, box, mesh, boxRaw, meshRaw, annotations, image: prediction.image ? tf.clone(prediction.image) : null });\n if (prediction.coords) prediction.coords.dispose();\n if (prediction.image) prediction.image.dispose();\n }\n return results;\n }\n}\n\nlet faceModels = [null, null, null];\nexport async function load(config) {\n // @ts-ignore\n faceModels = await Promise.all([\n (!faceModels[0] && config.face.enabled) ? blazeface.load(config) : null,\n (!faceModels[1] && config.face.mesh.enabled) ? tf.loadGraphModel(config.face.mesh.modelPath, { fromTFHub: config.face.mesh.modelPath.includes('tfhub.dev') }) : null,\n (!faceModels[2] && config.face.iris.enabled) ? tf.loadGraphModel(config.face.iris.modelPath, { fromTFHub: config.face.iris.modelPath.includes('tfhub.dev') }) : null,\n ]);\n const faceMesh = new MediaPipeFaceMesh(faceModels[0], faceModels[1], faceModels[2], config);\n if (config.face.mesh.enabled) log(`load model: ${config.face.mesh.modelPath.match(/\\/(.*)\\./)[1]}`);\n if (config.face.iris.enabled) log(`load model: ${config.face.iris.modelPath.match(/\\/(.*)\\./)[1]}`);\n return faceMesh;\n}\n\nexports.triangulation = coords.TRI468;\n", "export const partNames = [\n 'nose', 'leftEye', 'rightEye', 'leftEar', 'rightEar', 'leftShoulder',\n 'rightShoulder', 'leftElbow', 'rightElbow', 'leftWrist', 'rightWrist',\n 'leftHip', 'rightHip', 'leftKnee', 'rightKnee', 'leftAnkle', 'rightAnkle',\n];\n\nexport const NUM_KEYPOINTS = exports.partNames.length;\n\nexport const partIds = exports.partNames.reduce((result, jointName, i) => {\n result[jointName] = i;\n return result;\n}, {});\n\nconst connectedPartNames = [\n ['leftHip', 'leftShoulder'], ['leftElbow', 'leftShoulder'],\n ['leftElbow', 'leftWrist'], ['leftHip', 'leftKnee'],\n ['leftKnee', 'leftAnkle'], ['rightHip', 'rightShoulder'],\n ['rightElbow', 'rightShoulder'], ['rightElbow', 'rightWrist'],\n ['rightHip', 'rightKnee'], ['rightKnee', 'rightAnkle'],\n ['leftShoulder', 'rightShoulder'], ['leftHip', 'rightHip'],\n];\nexport const connectedPartIndices = connectedPartNames.map(([jointNameA, jointNameB]) => ([partIds[jointNameA], partIds[jointNameB]]));\n\nexport const poseChain = [\n ['nose', 'leftEye'], ['leftEye', 'leftEar'], ['nose', 'rightEye'],\n ['rightEye', 'rightEar'], ['nose', 'leftShoulder'],\n ['leftShoulder', 'leftElbow'], ['leftElbow', 'leftWrist'],\n ['leftShoulder', 'leftHip'], ['leftHip', 'leftKnee'],\n ['leftKnee', 'leftAnkle'], ['nose', 'rightShoulder'],\n ['rightShoulder', 'rightElbow'], ['rightElbow', 'rightWrist'],\n ['rightShoulder', 'rightHip'], ['rightHip', 'rightKnee'],\n ['rightKnee', 'rightAnkle'],\n];\n\nexport const partChannels = [\n 'left_face',\n 'right_face',\n 'right_upper_leg_front',\n 'right_lower_leg_back',\n 'right_upper_leg_back',\n 'left_lower_leg_front',\n 'left_upper_leg_front',\n 'left_upper_leg_back',\n 'left_lower_leg_back',\n 'right_feet',\n 'right_lower_leg_front',\n 'left_feet',\n 'torso_front',\n 'torso_back',\n 'right_upper_arm_front',\n 'right_upper_arm_back',\n 'right_lower_arm_back',\n 'left_lower_arm_front',\n 'left_upper_arm_front',\n 'left_upper_arm_back',\n 'left_lower_arm_back',\n 'right_hand',\n 'right_lower_arm_front',\n 'left_hand',\n];\n", "import { log } from './log';\nimport * as tf from '../dist/tfjs.esm.js';\nimport * as backend from './tfjs/backend';\nimport * as facemesh from './blazeface/facemesh';\nimport * as faceboxes from './faceboxes/faceboxes';\nimport * as age from './age/age';\nimport * as gender from './gender/gender';\nimport * as emotion from './emotion/emotion';\nimport * as embedding from './embedding/embedding';\nimport * as posenet from './posenet/posenet';\nimport * as handpose from './handpose/handpose';\nimport * as gesture from './gesture/gesture';\nimport * as image from './image';\nimport * as profile from './profile';\nimport * as config from '../config';\nimport * as sample from './sample';\nimport * as app from '../package.json';\n\n// helper function: gets elapsed time on both browser and nodejs\nconst now = () => {\n if (typeof performance !== 'undefined') return performance.now();\n return parseInt((Number(process.hrtime.bigint()) / 1000 / 1000).toString());\n};\n\n// helper function: perform deep merge of multiple objects so it allows full inheriance with overrides\nfunction mergeDeep(...objects) {\n const isObject = (obj) => obj && typeof obj === 'object';\n return objects.reduce((prev, obj) => {\n Object.keys(obj || {}).forEach((key) => {\n const pVal = prev[key];\n const oVal = obj[key];\n if (Array.isArray(pVal) && Array.isArray(oVal)) {\n prev[key] = pVal.concat(...oVal);\n } else if (isObject(pVal) && isObject(oVal)) {\n prev[key] = mergeDeep(pVal, oVal);\n } else {\n prev[key] = oVal;\n }\n });\n return prev;\n }, {});\n}\n\nclass Human {\n tf: any;\n package: any;\n version: string;\n config: any;\n fx: any;\n state: string;\n numTensors: number;\n analyzeMemoryLeaks: boolean;\n checkSanity: boolean;\n firstRun: boolean;\n perf: any;\n models: any;\n // models\n facemesh: any;\n age: any;\n gender: any;\n emotion: any;\n body: any;\n hand: any;\n\n constructor(userConfig = {}) {\n this.tf = tf;\n this.package = app;\n this.version = app.version;\n this.config = mergeDeep(config.default, userConfig);\n this.fx = null;\n this.state = 'idle';\n this.numTensors = 0;\n this.analyzeMemoryLeaks = false;\n this.checkSanity = false;\n this.firstRun = true;\n this.perf = {};\n // object that contains all initialized models\n this.models = {\n facemesh: null,\n posenet: null,\n handpose: null,\n iris: null,\n age: null,\n gender: null,\n emotion: null,\n };\n // export raw access to underlying models\n this.facemesh = facemesh;\n this.age = age;\n this.gender = gender;\n this.emotion = emotion;\n this.body = posenet;\n this.hand = handpose;\n }\n\n profile() {\n if (this.config.profile) return profile.data;\n return {};\n }\n\n // helper function: measure tensor leak\n analyze(...msg) {\n if (!this.analyzeMemoryLeaks) return;\n const current = this.tf.engine().state.numTensors;\n const previous = this.numTensors;\n this.numTensors = current;\n const leaked = current - previous;\n if (leaked !== 0) log(...msg, leaked);\n }\n\n // quick sanity check on inputs\n sanity(input) {\n if (!this.checkSanity) return null;\n if (!input) return 'input is not defined';\n if (this.tf.ENV.flags.IS_NODE && !(input instanceof this.tf.Tensor)) {\n return 'input must be a tensor';\n }\n try {\n this.tf.getBackend();\n } catch {\n return 'backend not loaded';\n }\n return null;\n }\n\n simmilarity(embedding1, embedding2) {\n if (this.config.face.embedding.enabled) return embedding.simmilarity(embedding1, embedding2);\n return 0;\n }\n\n // preload models, not explicitly required as it's done automatically on first use\n async load(userConfig = null) {\n this.state = 'load';\n const timeStamp = now();\n if (userConfig) this.config = mergeDeep(this.config, userConfig);\n\n if (this.firstRun) {\n log(`version: ${this.version} TensorFlow/JS version: ${this.tf.version_core}`);\n await this.checkBackend(true);\n if (this.tf.ENV.flags.IS_BROWSER) {\n log('configuration:', this.config);\n log('tf flags:', this.tf.ENV.flags);\n }\n }\n const face = this.config.face.detector.modelPath.includes('faceboxes') ? faceboxes : facemesh;\n if (this.config.async) {\n [\n this.models.face,\n this.models.age,\n this.models.gender,\n this.models.emotion,\n this.models.embedding,\n this.models.posenet,\n this.models.handpose,\n ] = await Promise.all([\n this.models.face || (this.config.face.enabled ? face.load(this.config) : null),\n this.models.age || ((this.config.face.enabled && this.config.face.age.enabled) ? age.load(this.config) : null),\n this.models.gender || ((this.config.face.enabled && this.config.face.gender.enabled) ? gender.load(this.config) : null),\n this.models.emotion || ((this.config.face.enabled && this.config.face.emotion.enabled) ? emotion.load(this.config) : null),\n this.models.embedding || ((this.config.face.enabled && this.config.face.embedding.enabled) ? embedding.load(this.config) : null),\n this.models.posenet || (this.config.body.enabled ? posenet.load(this.config) : null),\n this.models.handpose || (this.config.hand.enabled ? handpose.load(this.config) : null),\n ]);\n } else {\n if (this.config.face.enabled && !this.models.face) this.models.face = await face.load(this.config);\n if (this.config.face.enabled && this.config.face.age.enabled && !this.models.age) this.models.age = await age.load(this.config);\n if (this.config.face.enabled && this.config.face.gender.enabled && !this.models.gender) this.models.gender = await gender.load(this.config);\n if (this.config.face.enabled && this.config.face.emotion.enabled && !this.models.emotion) this.models.emotion = await emotion.load(this.config);\n if (this.config.face.enabled && this.config.face.embedding.enabled && !this.models.embedding) this.models.embedding = await embedding.load(this.config);\n if (this.config.body.enabled && !this.models.posenet) this.models.posenet = await posenet.load(this.config);\n if (this.config.hand.enabled && !this.models.handpose) this.models.handpose = await handpose.load(this.config);\n }\n\n if (this.firstRun) {\n log('tf engine state:', this.tf.engine().state.numBytes, 'bytes', this.tf.engine().state.numTensors, 'tensors');\n this.firstRun = false;\n }\n\n const current = Math.trunc(now() - timeStamp);\n if (current > (this.perf.load || 0)) this.perf.load = current;\n }\n\n // check if backend needs initialization if it changed\n async checkBackend(force = false) {\n if (this.config.backend && (this.config.backend !== '') && force || (this.tf.getBackend() !== this.config.backend)) {\n const timeStamp = now();\n this.state = 'backend';\n /* force backend reload\n if (this.config.backend in tf.engine().registry) {\n const backendFactory = tf.findBackendFactory(this.config.backend);\n tf.removeBackend(this.config.backend);\n tf.registerBackend(this.config.backend, backendFactory);\n } else {\n log('Backend not registred:', this.config.backend);\n }\n */\n\n log('setting backend:', this.config.backend);\n\n if (this.config.backend === 'wasm') {\n log('settings wasm path:', this.config.wasmPath);\n this.tf.setWasmPaths(this.config.wasmPath);\n const simd = await this.tf.env().getAsync('WASM_HAS_SIMD_SUPPORT');\n if (!simd) log('warning: wasm simd support is not enabled');\n }\n\n if (this.config.backend === 'humangl') backend.register();\n try {\n await this.tf.setBackend(this.config.backend);\n } catch (err) {\n log('error: cannot set backend:', this.config.backend, err);\n }\n this.tf.enableProdMode();\n /* debug mode is really too mcuh\n tf.enableDebugMode();\n */\n if (this.tf.getBackend() === 'webgl') {\n if (this.config.deallocate) {\n log('changing webgl: WEBGL_DELETE_TEXTURE_THRESHOLD:', this.config.deallocate);\n this.tf.ENV.set('WEBGL_DELETE_TEXTURE_THRESHOLD', this.config.deallocate ? 0 : -1);\n }\n this.tf.ENV.set('WEBGL_FORCE_F16_TEXTURES', true);\n this.tf.ENV.set('WEBGL_PACK_DEPTHWISECONV', true);\n const gl = await this.tf.backend().getGPGPUContext().gl;\n log(`gl version:${gl.getParameter(gl.VERSION)} renderer:${gl.getParameter(gl.RENDERER)}`);\n }\n await this.tf.ready();\n this.perf.backend = Math.trunc(now() - timeStamp);\n }\n }\n\n async detectFace(input) {\n // run facemesh, includes blazeface and iris\n // eslint-disable-next-line no-async-promise-executor\n let timeStamp;\n let ageRes;\n let genderRes;\n let emotionRes;\n let embeddingRes;\n const faceRes: Array<{ confidence: number, box: any, mesh: any, meshRaw: any, boxRaw: any, annotations: any, age: number, gender: string, genderConfidence: number, emotion: string, embedding: any, iris: number }> = [];\n this.state = 'run:face';\n timeStamp = now();\n const faces = await this.models.face?.estimateFaces(input, this.config);\n this.perf.face = Math.trunc(now() - timeStamp);\n for (const face of faces) {\n this.analyze('Get Face');\n\n // is something went wrong, skip the face\n if (!face.image || face.image.isDisposedInternal) {\n log('Face object is disposed:', face.image);\n continue;\n }\n\n // run age, inherits face from blazeface\n this.analyze('Start Age:');\n if (this.config.async) {\n ageRes = this.config.face.age.enabled ? age.predict(face.image, this.config) : {};\n } else {\n this.state = 'run:age';\n timeStamp = now();\n ageRes = this.config.face.age.enabled ? await age.predict(face.image, this.config) : {};\n this.perf.age = Math.trunc(now() - timeStamp);\n }\n\n // run gender, inherits face from blazeface\n this.analyze('Start Gender:');\n if (this.config.async) {\n genderRes = this.config.face.gender.enabled ? gender.predict(face.image, this.config) : {};\n } else {\n this.state = 'run:gender';\n timeStamp = now();\n genderRes = this.config.face.gender.enabled ? await gender.predict(face.image, this.config) : {};\n this.perf.gender = Math.trunc(now() - timeStamp);\n }\n\n // run emotion, inherits face from blazeface\n this.analyze('Start Emotion:');\n if (this.config.async) {\n emotionRes = this.config.face.emotion.enabled ? emotion.predict(face.image, this.config) : {};\n } else {\n this.state = 'run:emotion';\n timeStamp = now();\n emotionRes = this.config.face.emotion.enabled ? await emotion.predict(face.image, this.config) : {};\n this.perf.emotion = Math.trunc(now() - timeStamp);\n }\n this.analyze('End Emotion:');\n\n // run emotion, inherits face from blazeface\n this.analyze('Start Embedding:');\n if (this.config.async) {\n embeddingRes = this.config.face.embedding.enabled ? embedding.predict(face.image, this.config) : {};\n } else {\n this.state = 'run:embedding';\n timeStamp = now();\n embeddingRes = this.config.face.embedding.enabled ? await embedding.predict(face.image, this.config) : {};\n this.perf.embedding = Math.trunc(now() - timeStamp);\n }\n this.analyze('End Emotion:');\n\n // if async wait for results\n if (this.config.async) {\n [ageRes, genderRes, emotionRes, embeddingRes] = await Promise.all([ageRes, genderRes, emotionRes, embeddingRes]);\n }\n\n this.analyze('Finish Face:');\n\n // calculate iris distance\n // iris: array[ center, left, top, right, bottom]\n if (!this.config.face.iris.enabled && face?.annotations?.leftEyeIris && face?.annotations?.rightEyeIris) {\n delete face.annotations.leftEyeIris;\n delete face.annotations.rightEyeIris;\n }\n const irisSize = (face.annotations?.leftEyeIris && face.annotations?.rightEyeIris)\n /* average human iris size is 11.7mm */\n ? 11.7 * Math.max(Math.abs(face.annotations.leftEyeIris[3][0] - face.annotations.leftEyeIris[1][0]), Math.abs(face.annotations.rightEyeIris[4][1] - face.annotations.rightEyeIris[2][1]))\n : 0;\n\n // combine results\n faceRes.push({\n confidence: face.confidence,\n box: face.box,\n mesh: face.mesh,\n boxRaw: face.boxRaw,\n meshRaw: face.meshRaw,\n annotations: face.annotations,\n age: ageRes.age,\n gender: genderRes.gender,\n genderConfidence: genderRes.confidence,\n emotion: emotionRes,\n embedding: embeddingRes,\n iris: (irisSize !== 0) ? Math.trunc(irisSize) / 100 : 0,\n // image: face.image.toInt().squeeze(),\n });\n\n // dont need face anymore\n face.image?.dispose();\n this.analyze('End Face');\n }\n this.analyze('End FaceMesh:');\n if (this.config.async) {\n if (this.perf.face) delete this.perf.face;\n if (this.perf.age) delete this.perf.age;\n if (this.perf.gender) delete this.perf.gender;\n if (this.perf.emotion) delete this.perf.emotion;\n }\n return faceRes;\n }\n\n /*\n async processImage(input, userConfig = {}) {\n this.state = 'image';\n this.config = mergeDeep(this.config, userConfig);\n const process = image.process(input, this.config);\n process?.tensor?.dispose();\n return process?.canvas;\n }\n */\n\n // main detect function\n async detect(input, userConfig = {}) {\n // detection happens inside a promise\n return new Promise(async (resolve) => {\n this.state = 'config';\n let timeStamp;\n\n // update configuration\n this.config = mergeDeep(this.config, userConfig);\n\n // sanity checks\n this.state = 'check';\n const error = this.sanity(input);\n if (error) {\n log(error, input);\n resolve({ error });\n }\n\n let poseRes;\n let handRes;\n let faceRes;\n\n const timeStart = now();\n\n // configure backend\n await this.checkBackend();\n\n // load models if enabled\n await this.load();\n\n if (this.config.scoped) this.tf.engine().startScope();\n this.analyze('Start Scope:');\n\n timeStamp = now();\n const process = image.process(input, this.config);\n if (!process || !process.tensor) {\n log('could not convert input to tensor');\n resolve({ error: 'could not convert input to tensor' });\n return;\n }\n this.perf.image = Math.trunc(now() - timeStamp);\n this.analyze('Get Image:');\n\n // run face detection followed by all models that rely on face bounding box: face mesh, age, gender, emotion\n if (this.config.async) {\n faceRes = this.config.face.enabled ? this.detectFace(process.tensor) : [];\n if (this.perf.face) delete this.perf.face;\n } else {\n this.state = 'run:face';\n timeStamp = now();\n faceRes = this.config.face.enabled ? await this.detectFace(process.tensor) : [];\n this.perf.face = Math.trunc(now() - timeStamp);\n }\n\n // run posenet\n this.analyze('Start Body:');\n if (this.config.async) {\n poseRes = this.config.body.enabled ? this.models.posenet?.estimatePoses(process.tensor, this.config) : [];\n if (this.perf.body) delete this.perf.body;\n } else {\n this.state = 'run:body';\n timeStamp = now();\n poseRes = this.config.body.enabled ? await this.models.posenet?.estimatePoses(process.tensor, this.config) : [];\n this.perf.body = Math.trunc(now() - timeStamp);\n }\n this.analyze('End Body:');\n\n // run handpose\n this.analyze('Start Hand:');\n if (this.config.async) {\n handRes = this.config.hand.enabled ? this.models.handpose?.estimateHands(process.tensor, this.config) : [];\n if (this.perf.hand) delete this.perf.hand;\n } else {\n this.state = 'run:hand';\n timeStamp = now();\n handRes = this.config.hand.enabled ? await this.models.handpose?.estimateHands(process.tensor, this.config) : [];\n this.perf.hand = Math.trunc(now() - timeStamp);\n }\n this.analyze('End Hand:');\n\n // if async wait for results\n if (this.config.async) {\n [faceRes, poseRes, handRes] = await Promise.all([faceRes, poseRes, handRes]);\n }\n process.tensor.dispose();\n\n if (this.config.scoped) this.tf.engine().endScope();\n this.analyze('End Scope:');\n\n let gestureRes = [];\n if (this.config.gesture.enabled) {\n timeStamp = now();\n // @ts-ignore\n gestureRes = [...gesture.face(faceRes), ...gesture.body(poseRes), ...gesture.hand(handRes), ...gesture.iris(faceRes)];\n if (!this.config.async) this.perf.gesture = Math.trunc(now() - timeStamp);\n else if (this.perf.gesture) delete this.perf.gesture;\n }\n\n this.perf.total = Math.trunc(now() - timeStart);\n this.state = 'idle';\n resolve({ face: faceRes, body: poseRes, hand: handRes, gesture: gestureRes, performance: this.perf, canvas: process.canvas });\n });\n }\n\n async warmupBitmap() {\n const b64toBlob = (base64, type = 'application/octet-stream') => fetch(`data:${type};base64,${base64}`).then((res) => res.blob());\n let blob;\n let res;\n switch (this.config.warmup) {\n case 'face': blob = await b64toBlob(sample.face); break;\n case 'full': blob = await b64toBlob(sample.body); break;\n default: blob = null;\n }\n if (blob) {\n const bitmap = await createImageBitmap(blob);\n res = await this.detect(bitmap, this.config);\n bitmap.close();\n }\n return res;\n }\n\n async warmupCanvas() {\n return new Promise((resolve) => {\n let src;\n let size = 0;\n switch (this.config.warmup) {\n case 'face':\n size = 256;\n src = 'data:image/jpeg;base64,' + sample.face;\n break;\n case 'full':\n size = 1200;\n src = 'data:image/jpeg;base64,' + sample.body;\n break;\n default:\n src = null;\n }\n const img = new Image(size, size);\n img.onload = () => {\n const canvas = (typeof OffscreenCanvas !== 'undefined') ? new OffscreenCanvas(size, size) : document.createElement('canvas');\n canvas.width = size;\n canvas.height = size;\n const ctx = canvas.getContext('2d');\n ctx?.drawImage(img, 0, 0);\n const data = ctx?.getImageData(0, 0, size, size);\n this.detect(data, this.config).then((res) => resolve(res));\n };\n if (src) img.src = src;\n else resolve(null);\n });\n }\n\n async warmupNode() {\n const atob = (str) => Buffer.from(str, 'base64');\n const img = this.config.warmup === 'face' ? atob(sample.face) : atob(sample.body);\n // @ts-ignore\n const data = tf.node.decodeJpeg(img); // tf.node is only defined when compiling for nodejs\n const expanded = data.expandDims(0);\n this.tf.dispose(data);\n // log('Input:', expanded);\n const res = await this.detect(expanded, this.config);\n this.tf.dispose(expanded);\n return res;\n }\n\n async warmup(userConfig) {\n const t0 = now();\n if (userConfig) this.config = mergeDeep(this.config, userConfig);\n const video = this.config.videoOptimized;\n this.config.videoOptimized = false;\n let res;\n if (typeof createImageBitmap === 'function') res = await this.warmupBitmap();\n else if (typeof Image !== 'undefined') res = await this.warmupCanvas();\n else res = await this.warmupNode();\n this.config.videoOptimized = video;\n const t1 = now();\n log('Warmup', this.config.warmup, Math.round(t1 - t0), 'ms', res);\n return res;\n }\n}\n\nexport { Human as default };\n", "// helper function: wrapper around console output\nexport function log(...msg) {\n const dt = new Date();\n const ts = `${dt.getHours().toString().padStart(2, '0')}:${dt.getMinutes().toString().padStart(2, '0')}:${dt.getSeconds().toString().padStart(2, '0')}.${dt.getMilliseconds().toString().padStart(3, '0')}`;\n // eslint-disable-next-line no-console\n if (msg) console.log(ts, 'Human:', ...msg);\n}\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\n\nexport const config = {\n name: 'humangl',\n priority: 99,\n canvas: null,\n gl: null,\n width: 1024,\n height: 1024,\n webGLattr: { // https://www.khronos.org/registry/webgl/specs/latest/1.0/#5.2\n alpha: false,\n antialias: false,\n premultipliedAlpha: false,\n preserveDrawingBuffer: false,\n depth: false,\n stencil: false,\n failIfMajorPerformanceCaveat: false,\n desynchronized: true,\n },\n};\n\nexport function register() {\n if (!tf.findBackend(config.name)) {\n log('backend registration:', config.name);\n try {\n // @ts-ignore\n config.canvas = (typeof OffscreenCanvas !== 'undefined') ? new OffscreenCanvas(config.width, config.height) : document.createElement('canvas');\n } catch (err) {\n log('error: cannot create canvas:', err);\n return;\n }\n try {\n // @ts-ignore\n config.gl = config.canvas.getContext('webgl2', config.webGLattr);\n } catch (err) {\n log('error: cannot get WebGL2 context:', err);\n return;\n }\n try {\n tf.setWebGLContext(2, config.gl);\n } catch (err) {\n log('error: cannot set WebGL2 context:', err);\n return;\n }\n try {\n const ctx = new tf.GPGPUContext(config.gl);\n tf.registerBackend(config.name, () => new tf.MathBackendWebGL(ctx), config.priority);\n } catch (err) {\n log('error: cannot register WebGL backend:', err);\n return;\n }\n try {\n const kernels = tf.getKernelsForBackend('webgl');\n kernels.forEach((kernelConfig) => {\n const newKernelConfig = { ...kernelConfig, backendName: config.name };\n tf.registerKernel(newKernelConfig);\n });\n } catch (err) {\n log('error: cannot update WebGL backend registration:', err);\n return;\n }\n try {\n tf.ENV.set('WEBGL_VERSION', 2);\n // @ts-ignore\n tf.ENV.set('WEBGL_MAX_TEXTURE_SIZE', config.gl.getParameter(config.gl.MAX_TEXTURE_SIZE));\n tf.ENV.set('WEBGL_FORCE_F16_TEXTURES', true);\n tf.ENV.set('WEBGL_PACK_DEPTHWISECONV', true);\n } catch (err) {\n log('error: cannot set WebGL backend flags:', err);\n return;\n }\n log('backend registered:', config.name);\n }\n}\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\n\nconst NUM_LANDMARKS = 6;\n\nfunction generateAnchors(inputSize) {\n const spec = { strides: [inputSize / 16, inputSize / 8], anchors: [2, 6] };\n const anchors: Array<[number, number]> = [];\n for (let i = 0; i < spec.strides.length; i++) {\n const stride = spec.strides[i];\n const gridRows = Math.floor((inputSize + stride - 1) / stride);\n const gridCols = Math.floor((inputSize + stride - 1) / stride);\n const anchorsNum = spec.anchors[i];\n for (let gridY = 0; gridY < gridRows; gridY++) {\n const anchorY = stride * (gridY + 0.5);\n for (let gridX = 0; gridX < gridCols; gridX++) {\n const anchorX = stride * (gridX + 0.5);\n for (let n = 0; n < anchorsNum; n++) {\n anchors.push([anchorX, anchorY]);\n }\n }\n }\n }\n return anchors;\n}\n\nexport const disposeBox = (box) => {\n box.startEndTensor.dispose();\n box.startPoint.dispose();\n box.endPoint.dispose();\n};\n\nconst createBox = (startEndTensor) => ({\n startEndTensor,\n startPoint: tf.slice(startEndTensor, [0, 0], [-1, 2]),\n endPoint: tf.slice(startEndTensor, [0, 2], [-1, 2]),\n});\n\nfunction decodeBounds(boxOutputs, anchors, inputSize) {\n const boxStarts = tf.slice(boxOutputs, [0, 1], [-1, 2]);\n const centers = tf.add(boxStarts, anchors);\n const boxSizes = tf.slice(boxOutputs, [0, 3], [-1, 2]);\n const boxSizesNormalized = tf.div(boxSizes, inputSize);\n const centersNormalized = tf.div(centers, inputSize);\n const halfBoxSize = tf.div(boxSizesNormalized, 2);\n const starts = tf.sub(centersNormalized, halfBoxSize);\n const ends = tf.add(centersNormalized, halfBoxSize);\n const startNormalized = tf.mul(starts, inputSize);\n const endNormalized = tf.mul(ends, inputSize);\n const concatAxis = 1;\n return tf.concat2d([startNormalized, endNormalized], concatAxis);\n}\n\nexport class BlazeFaceModel {\n blazeFaceModel: any;\n width: number;\n height: number;\n anchorsData: any;\n anchors: any;\n inputSize: number;\n config: any;\n scaleFaces: number;\n\n constructor(model, config) {\n this.blazeFaceModel = model;\n this.width = config.face.detector.inputSize;\n this.height = config.face.detector.inputSize;\n this.anchorsData = generateAnchors(config.face.detector.inputSize);\n this.anchors = tf.tensor2d(this.anchorsData);\n this.inputSize = tf.tensor1d([this.width, this.height]);\n this.config = config;\n this.scaleFaces = 0.8;\n }\n\n async getBoundingBoxes(inputImage) {\n // sanity check on input\n if ((!inputImage) || (inputImage.isDisposedInternal) || (inputImage.shape.length !== 4) || (inputImage.shape[1] < 1) || (inputImage.shape[2] < 1)) return null;\n const [detectedOutputs, boxes, scores] = tf.tidy(() => {\n const resizedImage = inputImage.resizeBilinear([this.width, this.height]);\n // const normalizedImage = tf.mul(tf.sub(resizedImage.div(255), 0.5), 2);\n const normalizedImage = tf.sub(resizedImage.div(127.5), 1);\n const batchedPrediction = this.blazeFaceModel.predict(normalizedImage);\n let prediction;\n // are we using tfhub or pinto converted model?\n if (Array.isArray(batchedPrediction)) {\n const sorted = batchedPrediction.sort((a, b) => a.size - b.size);\n const concat384 = tf.concat([sorted[0], sorted[2]], 2); // dim: 384, 1 + 16\n const concat512 = tf.concat([sorted[1], sorted[3]], 2); // dim: 512, 1 + 16\n const concat = tf.concat([concat512, concat384], 1);\n prediction = concat.squeeze(0);\n } else {\n prediction = batchedPrediction.squeeze(); // when using tfhub model\n }\n const decodedBounds = decodeBounds(prediction, this.anchors, this.inputSize);\n const logits = tf.slice(prediction, [0, 0], [-1, 1]);\n const scoresOut = tf.sigmoid(logits).squeeze();\n return [prediction, decodedBounds, scoresOut];\n });\n const boxIndicesTensor = await tf.image.nonMaxSuppressionAsync(boxes, scores, this.config.face.detector.maxFaces, this.config.face.detector.iouThreshold, this.config.face.detector.scoreThreshold);\n const boxIndices = boxIndicesTensor.arraySync();\n boxIndicesTensor.dispose();\n const boundingBoxesMap = boxIndices.map((boxIndex) => tf.slice(boxes, [boxIndex, 0], [1, -1]));\n const boundingBoxes = boundingBoxesMap.map((boundingBox) => {\n const vals = boundingBox.arraySync();\n boundingBox.dispose();\n return vals;\n });\n\n const scoresVal = scores.dataSync();\n const annotatedBoxes: Array<{ box: any, landmarks: any, anchor: any, confidence: number }> = [];\n for (let i = 0; i < boundingBoxes.length; i++) {\n const boxIndex = boxIndices[i];\n const confidence = scoresVal[boxIndex];\n if (confidence > this.config.face.detector.minConfidence) {\n const box = createBox(boundingBoxes[i]);\n const anchor = this.anchorsData[boxIndex];\n const landmarks = tf.tidy(() => tf.slice(detectedOutputs, [boxIndex, NUM_LANDMARKS - 1], [1, -1]).squeeze().reshape([NUM_LANDMARKS, -1]));\n annotatedBoxes.push({ box, landmarks, anchor, confidence });\n }\n }\n detectedOutputs.dispose();\n boxes.dispose();\n scores.dispose();\n detectedOutputs.dispose();\n return {\n boxes: annotatedBoxes,\n scaleFactor: [inputImage.shape[2] / this.width, inputImage.shape[1] / this.height],\n };\n }\n}\n\nexport async function load(config) {\n const blazeface = await tf.loadGraphModel(config.face.detector.modelPath, { fromTFHub: config.face.detector.modelPath.includes('tfhub.dev') });\n const model = new BlazeFaceModel(blazeface, config);\n log(`load model: ${config.face.detector.modelPath.match(/\\/(.*)\\./)[1]}`);\n return model;\n}\n", "/* eslint-disable class-methods-use-this */\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as bounding from './box';\nimport * as util from './util';\nimport * as coords from './coords';\n\nconst LANDMARKS_COUNT = 468;\nconst MESH_MOUTH_INDEX = 13;\nconst MESH_KEYPOINTS_LINE_OF_SYMMETRY_INDICES = [MESH_MOUTH_INDEX, coords.MESH_ANNOTATIONS['midwayBetweenEyes'][0]];\nconst BLAZEFACE_MOUTH_INDEX = 3;\nconst BLAZEFACE_NOSE_INDEX = 2;\nconst BLAZEFACE_KEYPOINTS_LINE_OF_SYMMETRY_INDICES = [BLAZEFACE_MOUTH_INDEX, BLAZEFACE_NOSE_INDEX];\nconst LEFT_EYE_OUTLINE = coords.MESH_ANNOTATIONS['leftEyeLower0'];\nconst LEFT_EYE_BOUNDS = [LEFT_EYE_OUTLINE[0], LEFT_EYE_OUTLINE[LEFT_EYE_OUTLINE.length - 1]];\nconst RIGHT_EYE_OUTLINE = coords.MESH_ANNOTATIONS['rightEyeLower0'];\nconst RIGHT_EYE_BOUNDS = [RIGHT_EYE_OUTLINE[0], RIGHT_EYE_OUTLINE[RIGHT_EYE_OUTLINE.length - 1]];\nconst IRIS_UPPER_CENTER_INDEX = 3;\nconst IRIS_LOWER_CENTER_INDEX = 4;\nconst IRIS_IRIS_INDEX = 71;\nconst IRIS_NUM_COORDINATES = 76;\n\n// Replace the raw coordinates returned by facemesh with refined iris model coordinates. Update the z coordinate to be an average of the original and the new. This produces the best visual effect.\nfunction replaceRawCoordinates(rawCoords, newCoords, prefix, keys = null) {\n for (let i = 0; i < coords.MESH_TO_IRIS_INDICES_MAP.length; i++) {\n const { key, indices } = coords.MESH_TO_IRIS_INDICES_MAP[i];\n const originalIndices = coords.MESH_ANNOTATIONS[`${prefix}${key}`];\n // @ts-ignore\n if (!keys || keys.includes(key)) {\n for (let j = 0; j < indices.length; j++) {\n const index = indices[j];\n rawCoords[originalIndices[j]] = [\n newCoords[index][0], newCoords[index][1],\n (newCoords[index][2] + rawCoords[originalIndices[j]][2]) / 2,\n ];\n }\n }\n }\n}\n// The Pipeline coordinates between the bounding box and skeleton models.\nexport class Pipeline {\n storedBoxes: any;\n runsWithoutFaceDetector: number;\n boundingBoxDetector: any;\n meshDetector: any;\n irisModel: any;\n meshWidth: number;\n meshHeight: number;\n irisSize: number;\n irisEnlarge: number;\n skipped: number;\n detectedFaces: number;\n\n constructor(boundingBoxDetector, meshDetector, irisModel, config) {\n // An array of facial bounding boxes.\n this.storedBoxes = [];\n this.runsWithoutFaceDetector = 0;\n this.boundingBoxDetector = boundingBoxDetector;\n this.meshDetector = meshDetector;\n this.irisModel = irisModel;\n this.meshWidth = config.face.mesh.inputSize;\n this.meshHeight = config.face.mesh.inputSize;\n this.irisSize = config.face.iris.inputSize;\n this.irisEnlarge = 2.3;\n this.skipped = 0;\n this.detectedFaces = 0;\n }\n\n transformRawCoords(rawCoords, box, angle, rotationMatrix) {\n const boxSize = bounding.getBoxSize({ startPoint: box.startPoint, endPoint: box.endPoint });\n const scaleFactor = [boxSize[0] / this.meshWidth, boxSize[1] / this.meshHeight];\n const coordsScaled = rawCoords.map((coord) => ([\n scaleFactor[0] * (coord[0] - this.meshWidth / 2),\n scaleFactor[1] * (coord[1] - this.meshHeight / 2), coord[2],\n ]));\n const coordsRotationMatrix = (angle !== 0) ? util.buildRotationMatrix(angle, [0, 0]) : util.IDENTITY_MATRIX;\n const coordsRotated = (angle !== 0) ? coordsScaled.map((coord) => ([...util.rotatePoint(coord, coordsRotationMatrix), coord[2]])) : coordsScaled;\n const inverseRotationMatrix = (angle !== 0) ? util.invertTransformMatrix(rotationMatrix) : util.IDENTITY_MATRIX;\n const boxCenter = [...bounding.getBoxCenter({ startPoint: box.startPoint, endPoint: box.endPoint }), 1];\n return coordsRotated.map((coord) => ([\n coord[0] + util.dot(boxCenter, inverseRotationMatrix[0]),\n coord[1] + util.dot(boxCenter, inverseRotationMatrix[1]),\n coord[2],\n ]));\n }\n\n getLeftToRightEyeDepthDifference(rawCoords) {\n const leftEyeZ = rawCoords[LEFT_EYE_BOUNDS[0]][2];\n const rightEyeZ = rawCoords[RIGHT_EYE_BOUNDS[0]][2];\n return leftEyeZ - rightEyeZ;\n }\n\n // Returns a box describing a cropped region around the eye fit for passing to the iris model.\n getEyeBox(rawCoords, face, eyeInnerCornerIndex, eyeOuterCornerIndex, flip = false) {\n const box = bounding.squarifyBox(bounding.enlargeBox(this.calculateLandmarksBoundingBox([rawCoords[eyeInnerCornerIndex], rawCoords[eyeOuterCornerIndex]]), this.irisEnlarge));\n const boxSize = bounding.getBoxSize(box);\n let crop = tf.image.cropAndResize(face, [[\n box.startPoint[1] / this.meshHeight,\n box.startPoint[0] / this.meshWidth, box.endPoint[1] / this.meshHeight,\n box.endPoint[0] / this.meshWidth,\n ]], [0], [this.irisSize, this.irisSize]);\n if (flip) {\n crop = tf.image.flipLeftRight(crop);\n }\n return { box, boxSize, crop };\n }\n\n // Given a cropped image of an eye, returns the coordinates of the contours surrounding the eye and the iris.\n getEyeCoords(eyeData, eyeBox, eyeBoxSize, flip = false) {\n const eyeRawCoords: Array = [];\n for (let i = 0; i < IRIS_NUM_COORDINATES; i++) {\n const x = eyeData[i * 3];\n const y = eyeData[i * 3 + 1];\n const z = eyeData[i * 3 + 2];\n eyeRawCoords.push([\n (flip ? (1 - (x / this.irisSize)) : (x / this.irisSize)) * eyeBoxSize[0] + eyeBox.startPoint[0],\n (y / this.irisSize) * eyeBoxSize[1] + eyeBox.startPoint[1], z,\n ]);\n }\n return { rawCoords: eyeRawCoords, iris: eyeRawCoords.slice(IRIS_IRIS_INDEX) };\n }\n\n // The z-coordinates returned for the iris are unreliable, so we take the z values from the surrounding keypoints.\n getAdjustedIrisCoords(rawCoords, irisCoords, direction) {\n const upperCenterZ = rawCoords[coords.MESH_ANNOTATIONS[`${direction}EyeUpper0`][IRIS_UPPER_CENTER_INDEX]][2];\n const lowerCenterZ = rawCoords[coords.MESH_ANNOTATIONS[`${direction}EyeLower0`][IRIS_LOWER_CENTER_INDEX]][2];\n const averageZ = (upperCenterZ + lowerCenterZ) / 2;\n // Iris indices: 0: center | 1: right | 2: above | 3: left | 4: below\n return irisCoords.map((coord, i) => {\n let z = averageZ;\n if (i === 2) {\n z = upperCenterZ;\n } else if (i === 4) {\n z = lowerCenterZ;\n }\n return [coord[0], coord[1], z];\n });\n }\n\n async predict(input, config) {\n let useFreshBox = false;\n // run new detector every skipFrames unless we only want box to start with\n let detector;\n if ((this.skipped === 0) || (this.skipped > config.face.detector.skipFrames) || !config.face.mesh.enabled || !config.videoOptimized) {\n detector = await this.boundingBoxDetector.getBoundingBoxes(input);\n this.skipped = 0;\n }\n if (config.videoOptimized) this.skipped++;\n\n // if detector result count doesn't match current working set, use it to reset current working set\n if (detector && detector.boxes && (!config.face.mesh.enabled || (detector.boxes.length !== this.detectedFaces) && (this.detectedFaces !== config.face.detector.maxFaces))) {\n this.storedBoxes = [];\n this.detectedFaces = 0;\n for (const possible of detector.boxes) {\n this.storedBoxes.push({ startPoint: possible.box.startPoint.dataSync(), endPoint: possible.box.endPoint.dataSync(), landmarks: possible.landmarks, confidence: possible.confidence });\n }\n if (this.storedBoxes.length > 0) useFreshBox = true;\n }\n\n if (useFreshBox) {\n if (!detector || !detector.boxes || (detector.boxes.length === 0)) {\n this.storedBoxes = [];\n this.detectedFaces = 0;\n return null;\n }\n for (let i = 0; i < this.storedBoxes.length; i++) {\n const scaledBox = bounding.scaleBoxCoordinates({ startPoint: this.storedBoxes[i].startPoint, endPoint: this.storedBoxes[i].endPoint }, detector.scaleFactor);\n const enlargedBox = bounding.enlargeBox(scaledBox);\n const squarifiedBox = bounding.squarifyBox(enlargedBox);\n const landmarks = this.storedBoxes[i].landmarks.arraySync();\n const confidence = this.storedBoxes[i].confidence;\n this.storedBoxes[i] = { ...squarifiedBox, confidence, landmarks };\n }\n this.runsWithoutFaceDetector = 0;\n }\n if (detector && detector.boxes) {\n detector.boxes.forEach((prediction) => {\n prediction.box.startPoint.dispose();\n prediction.box.endPoint.dispose();\n prediction.landmarks.dispose();\n });\n }\n\n // log('face', `skipped: ${this.skipped} max: ${config.face.detector.maxFaces} detected: ${this.detectedFaces} stored: ${this.storedBoxes.length} new: ${detector?.boxes?.length}`);\n let results = tf.tidy(() => this.storedBoxes.map((box, i) => {\n // The facial bounding box landmarks could come either from blazeface (if we are using a fresh box), or from the mesh model (if we are reusing an old box).\n let face;\n let angle = 0;\n let rotationMatrix;\n if (config.face.detector.rotation) {\n const [indexOfMouth, indexOfForehead] = (box.landmarks.length >= LANDMARKS_COUNT) ? MESH_KEYPOINTS_LINE_OF_SYMMETRY_INDICES : BLAZEFACE_KEYPOINTS_LINE_OF_SYMMETRY_INDICES;\n angle = util.computeRotation(box.landmarks[indexOfMouth], box.landmarks[indexOfForehead]);\n const faceCenter = bounding.getBoxCenter({ startPoint: box.startPoint, endPoint: box.endPoint });\n const faceCenterNormalized = [faceCenter[0] / input.shape[2], faceCenter[1] / input.shape[1]];\n const rotatedImage = tf.image.rotateWithOffset(input, angle, 0, faceCenterNormalized);\n rotationMatrix = util.buildRotationMatrix(-angle, faceCenter);\n face = bounding.cutBoxFromImageAndResize({ startPoint: box.startPoint, endPoint: box.endPoint }, rotatedImage, [this.meshHeight, this.meshWidth]).div(255);\n } else {\n rotationMatrix = util.IDENTITY_MATRIX;\n const cloned = input.clone();\n face = bounding.cutBoxFromImageAndResize({ startPoint: box.startPoint, endPoint: box.endPoint }, cloned, [this.meshHeight, this.meshWidth]).div(255);\n }\n\n // if we're not going to produce mesh, don't spend time with further processing\n if (!config.face.mesh.enabled) {\n const prediction = {\n coords: null,\n box,\n faceConfidence: null,\n confidence: box.confidence,\n image: face,\n };\n return prediction;\n }\n\n const [, confidence, contourCoords] = this.meshDetector.predict(face); // The first returned tensor represents facial contours, which are included in the coordinates.\n const faceConfidence = confidence.dataSync()[0];\n if (faceConfidence < config.face.detector.minConfidence) return null; // if below confidence just exit\n const coordsReshaped = tf.reshape(contourCoords, [-1, 3]);\n let rawCoords = coordsReshaped.arraySync();\n\n if (config.face.iris.enabled) {\n const { box: leftEyeBox, boxSize: leftEyeBoxSize, crop: leftEyeCrop } = this.getEyeBox(rawCoords, face, LEFT_EYE_BOUNDS[0], LEFT_EYE_BOUNDS[1], true);\n const { box: rightEyeBox, boxSize: rightEyeBoxSize, crop: rightEyeCrop } = this.getEyeBox(rawCoords, face, RIGHT_EYE_BOUNDS[0], RIGHT_EYE_BOUNDS[1]);\n const eyePredictions = this.irisModel.predict(tf.concat([leftEyeCrop, rightEyeCrop]));\n const eyePredictionsData = eyePredictions.dataSync();\n const leftEyeData = eyePredictionsData.slice(0, IRIS_NUM_COORDINATES * 3);\n const { rawCoords: leftEyeRawCoords, iris: leftIrisRawCoords } = this.getEyeCoords(leftEyeData, leftEyeBox, leftEyeBoxSize, true);\n const rightEyeData = eyePredictionsData.slice(IRIS_NUM_COORDINATES * 3);\n const { rawCoords: rightEyeRawCoords, iris: rightIrisRawCoords } = this.getEyeCoords(rightEyeData, rightEyeBox, rightEyeBoxSize);\n const leftToRightEyeDepthDifference = this.getLeftToRightEyeDepthDifference(rawCoords);\n if (Math.abs(leftToRightEyeDepthDifference) < 30) { // User is looking straight ahead.\n replaceRawCoordinates(rawCoords, leftEyeRawCoords, 'left');\n replaceRawCoordinates(rawCoords, rightEyeRawCoords, 'right');\n // If the user is looking to the left or to the right, the iris coordinates tend to diverge too much from the mesh coordinates for them to be merged. So we only update a single contour line above and below the eye.\n } else if (leftToRightEyeDepthDifference < 1) { // User is looking towards the right.\n // @ts-ignore\n replaceRawCoordinates(rawCoords, leftEyeRawCoords, 'left', ['EyeUpper0', 'EyeLower0']);\n } else { // User is looking towards the left.\n // @ts-ignore\n replaceRawCoordinates(rawCoords, rightEyeRawCoords, 'right', ['EyeUpper0', 'EyeLower0']);\n }\n const adjustedLeftIrisCoords = this.getAdjustedIrisCoords(rawCoords, leftIrisRawCoords, 'left');\n const adjustedRightIrisCoords = this.getAdjustedIrisCoords(rawCoords, rightIrisRawCoords, 'right');\n rawCoords = rawCoords.concat(adjustedLeftIrisCoords).concat(adjustedRightIrisCoords);\n }\n\n const transformedCoordsData = this.transformRawCoords(rawCoords, box, angle, rotationMatrix);\n const landmarksBox = bounding.enlargeBox(this.calculateLandmarksBoundingBox(transformedCoordsData));\n const squarifiedLandmarksBox = bounding.squarifyBox(landmarksBox);\n const transformedCoords = tf.tensor2d(transformedCoordsData);\n const prediction = {\n coords: transformedCoords,\n box: landmarksBox,\n faceConfidence,\n confidence: box.confidence,\n image: face,\n rawCoords,\n };\n if (!config.face.mesh.returnRawData) delete prediction.rawCoords;\n this.storedBoxes[i] = { ...squarifiedLandmarksBox, landmarks: transformedCoords.arraySync(), confidence: box.confidence, faceConfidence };\n\n return prediction;\n }));\n results = results.filter((a) => a !== null);\n this.detectedFaces = results.length;\n return results;\n }\n\n calculateLandmarksBoundingBox(landmarks) {\n const xs = landmarks.map((d) => d[0]);\n const ys = landmarks.map((d) => d[1]);\n const startPoint = [Math.min(...xs), Math.min(...ys)];\n const endPoint = [Math.max(...xs), Math.max(...ys)];\n return { startPoint, endPoint, landmarks };\n }\n}\n", "import * as tf from '../../dist/tfjs.esm.js';\n\nexport function scaleBoxCoordinates(box, factor) {\n const startPoint = [box.startPoint[0] * factor[0], box.startPoint[1] * factor[1]];\n const endPoint = [box.endPoint[0] * factor[0], box.endPoint[1] * factor[1]];\n return { startPoint, endPoint };\n}\n\nexport function getBoxSize(box) {\n return [\n Math.abs(box.endPoint[0] - box.startPoint[0]),\n Math.abs(box.endPoint[1] - box.startPoint[1]),\n ];\n}\n\nexport function getBoxCenter(box) {\n return [\n box.startPoint[0] + (box.endPoint[0] - box.startPoint[0]) / 2,\n box.startPoint[1] + (box.endPoint[1] - box.startPoint[1]) / 2,\n ];\n}\n\nexport function cutBoxFromImageAndResize(box, image, cropSize) {\n const h = image.shape[1];\n const w = image.shape[2];\n const boxes = [[\n box.startPoint[1] / h, box.startPoint[0] / w, box.endPoint[1] / h,\n box.endPoint[0] / w,\n ]];\n return tf.image.cropAndResize(image, boxes, [0], cropSize);\n}\n\nexport function enlargeBox(box, factor = 1.5) {\n const center = getBoxCenter(box);\n const size = getBoxSize(box);\n const newHalfSize = [factor * size[0] / 2, factor * size[1] / 2];\n const startPoint = [center[0] - newHalfSize[0], center[1] - newHalfSize[1]];\n const endPoint = [center[0] + newHalfSize[0], center[1] + newHalfSize[1]];\n return { startPoint, endPoint, landmarks: box.landmarks };\n}\n\nexport function squarifyBox(box) {\n const centers = getBoxCenter(box);\n const size = getBoxSize(box);\n const maxEdge = Math.max(...size);\n const halfSize = maxEdge / 2;\n const startPoint = [centers[0] - halfSize, centers[1] - halfSize];\n const endPoint = [centers[0] + halfSize, centers[1] + halfSize];\n return { startPoint, endPoint, landmarks: box.landmarks };\n}\n", "export const IDENTITY_MATRIX = [[1, 0, 0], [0, 1, 0], [0, 0, 1]];\n/**\n * Normalizes the provided angle to the range -pi to pi.\n * @param angle The angle in radians to be normalized.\n */\nexport function normalizeRadians(angle) {\n return angle - 2 * Math.PI * Math.floor((angle + Math.PI) / (2 * Math.PI));\n}\n\n/**\n * Computes the angle of rotation between two anchor points.\n * @param point1 First anchor point\n * @param point2 Second anchor point\n */\nexport function computeRotation(point1, point2) {\n const radians = Math.PI / 2 - Math.atan2(-(point2[1] - point1[1]), point2[0] - point1[0]);\n return normalizeRadians(radians);\n}\n\nexport function radToDegrees(rad) {\n return rad * 180 / Math.PI;\n}\n\nexport function buildTranslationMatrix(x, y) {\n return [[1, 0, x], [0, 1, y], [0, 0, 1]];\n}\n\nexport function dot(v1, v2) {\n let product = 0;\n for (let i = 0; i < v1.length; i++) {\n product += v1[i] * v2[i];\n }\n return product;\n}\n\nexport function getColumnFrom2DArr(arr, columnIndex) {\n const column: Array = [];\n for (let i = 0; i < arr.length; i++) {\n column.push(arr[i][columnIndex]);\n }\n return column;\n}\n\nexport function multiplyTransformMatrices(mat1, mat2) {\n const product: Array = [];\n const size = mat1.length;\n for (let row = 0; row < size; row++) {\n product.push([]);\n for (let col = 0; col < size; col++) {\n product[row].push(dot(mat1[row], getColumnFrom2DArr(mat2, col)));\n }\n }\n return product;\n}\n\nexport function buildRotationMatrix(rotation, center) {\n const cosA = Math.cos(rotation);\n const sinA = Math.sin(rotation);\n const rotationMatrix = [[cosA, -sinA, 0], [sinA, cosA, 0], [0, 0, 1]];\n const translationMatrix = buildTranslationMatrix(center[0], center[1]);\n const translationTimesRotation = multiplyTransformMatrices(translationMatrix, rotationMatrix);\n const negativeTranslationMatrix = buildTranslationMatrix(-center[0], -center[1]);\n return multiplyTransformMatrices(translationTimesRotation, negativeTranslationMatrix);\n}\n\nexport function invertTransformMatrix(matrix) {\n const rotationComponent = [[matrix[0][0], matrix[1][0]], [matrix[0][1], matrix[1][1]]];\n const translationComponent = [matrix[0][2], matrix[1][2]];\n const invertedTranslation = [\n -dot(rotationComponent[0], translationComponent),\n -dot(rotationComponent[1], translationComponent),\n ];\n return [\n rotationComponent[0].concat(invertedTranslation[0]),\n rotationComponent[1].concat(invertedTranslation[1]),\n [0, 0, 1],\n ];\n}\n\nexport function rotatePoint(homogeneousCoordinate, rotationMatrix) {\n return [\n dot(homogeneousCoordinate, rotationMatrix[0]),\n dot(homogeneousCoordinate, rotationMatrix[1]),\n ];\n}\n\nexport function xyDistanceBetweenPoints(a, b) {\n return Math.sqrt(((a[0] - b[0]) ** 2) + ((a[1] - b[1]) ** 2));\n}\n", "export const MESH_ANNOTATIONS = {\n silhouette: [\n 10, 338, 297, 332, 284, 251, 389, 356, 454, 323, 361, 288,\n 397, 365, 379, 378, 400, 377, 152, 148, 176, 149, 150, 136,\n 172, 58, 132, 93, 234, 127, 162, 21, 54, 103, 67, 109,\n ],\n lipsUpperOuter: [61, 185, 40, 39, 37, 0, 267, 269, 270, 409, 291],\n lipsLowerOuter: [146, 91, 181, 84, 17, 314, 405, 321, 375, 291],\n lipsUpperInner: [78, 191, 80, 81, 82, 13, 312, 311, 310, 415, 308],\n lipsLowerInner: [78, 95, 88, 178, 87, 14, 317, 402, 318, 324, 308],\n rightEyeUpper0: [246, 161, 160, 159, 158, 157, 173],\n rightEyeLower0: [33, 7, 163, 144, 145, 153, 154, 155, 133],\n rightEyeUpper1: [247, 30, 29, 27, 28, 56, 190],\n rightEyeLower1: [130, 25, 110, 24, 23, 22, 26, 112, 243],\n rightEyeUpper2: [113, 225, 224, 223, 222, 221, 189],\n rightEyeLower2: [226, 31, 228, 229, 230, 231, 232, 233, 244],\n rightEyeLower3: [143, 111, 117, 118, 119, 120, 121, 128, 245],\n rightEyebrowUpper: [156, 70, 63, 105, 66, 107, 55, 193],\n rightEyebrowLower: [35, 124, 46, 53, 52, 65],\n rightEyeIris: [473, 474, 475, 476, 477],\n leftEyeUpper0: [466, 388, 387, 386, 385, 384, 398],\n leftEyeLower0: [263, 249, 390, 373, 374, 380, 381, 382, 362],\n leftEyeUpper1: [467, 260, 259, 257, 258, 286, 414],\n leftEyeLower1: [359, 255, 339, 254, 253, 252, 256, 341, 463],\n leftEyeUpper2: [342, 445, 444, 443, 442, 441, 413],\n leftEyeLower2: [446, 261, 448, 449, 450, 451, 452, 453, 464],\n leftEyeLower3: [372, 340, 346, 347, 348, 349, 350, 357, 465],\n leftEyebrowUpper: [383, 300, 293, 334, 296, 336, 285, 417],\n leftEyebrowLower: [265, 353, 276, 283, 282, 295],\n leftEyeIris: [468, 469, 470, 471, 472],\n midwayBetweenEyes: [168],\n noseTip: [1],\n noseBottom: [2],\n noseRightCorner: [98],\n noseLeftCorner: [327],\n rightCheek: [205],\n leftCheek: [425],\n};\n\nexport const MESH_TO_IRIS_INDICES_MAP = [ // A mapping from facemesh model keypoints to iris model keypoints.\n { key: 'EyeUpper0', indices: [9, 10, 11, 12, 13, 14, 15] },\n { key: 'EyeUpper1', indices: [25, 26, 27, 28, 29, 30, 31] },\n { key: 'EyeUpper2', indices: [41, 42, 43, 44, 45, 46, 47] },\n { key: 'EyeLower0', indices: [0, 1, 2, 3, 4, 5, 6, 7, 8] },\n { key: 'EyeLower1', indices: [16, 17, 18, 19, 20, 21, 22, 23, 24] },\n { key: 'EyeLower2', indices: [32, 33, 34, 35, 36, 37, 38, 39, 40] },\n { key: 'EyeLower3', indices: [54, 55, 56, 57, 58, 59, 60, 61, 62] },\n // { key: 'EyebrowUpper', indices: [63, 64, 65, 66, 67, 68, 69, 70] },\n // { key: 'EyebrowLower', indices: [48, 49, 50, 51, 52, 53] },\n];\n\nexport const UV468 = [\n [0.499976992607117, 0.652534008026123],\n [0.500025987625122, 0.547487020492554],\n [0.499974012374878, 0.602371990680695],\n [0.482113003730774, 0.471979022026062],\n [0.500150978565216, 0.527155995368958],\n [0.499909996986389, 0.498252987861633],\n [0.499523013830185, 0.40106201171875],\n [0.289712011814117, 0.380764007568359],\n [0.499954998493195, 0.312398016452789],\n [0.499987006187439, 0.269918978214264],\n [0.500023007392883, 0.107050001621246],\n [0.500023007392883, 0.666234016418457],\n [0.5000159740448, 0.679224014282227],\n [0.500023007392883, 0.692348003387451],\n [0.499976992607117, 0.695277988910675],\n [0.499976992607117, 0.70593398809433],\n [0.499976992607117, 0.719385027885437],\n [0.499976992607117, 0.737019002437592],\n [0.499967992305756, 0.781370997428894],\n [0.499816000461578, 0.562981009483337],\n [0.473773002624512, 0.573909997940063],\n [0.104906998574734, 0.254140973091125],\n [0.365929991006851, 0.409575998783112],\n [0.338757991790771, 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0.924192011356354],\n [0.88577002286911, 0.615028977394104],\n [0.551338016986847, 0.695277988910675],\n [0.551980018615723, 0.704632043838501],\n [0.552887976169586, 0.715808033943176],\n [0.555167973041534, 0.730794012546539],\n [0.569944024085999, 0.767035007476807],\n [0.593203008174896, 0.685675978660583],\n [0.599261999130249, 0.681069016456604],\n [0.607599973678589, 0.677703022956848],\n [0.631937980651855, 0.663500010967255],\n [0.752032995223999, 0.601315021514893],\n [0.547226011753082, 0.420395016670227],\n [0.563543975353241, 0.359827995300293],\n [0.583841025829315, 0.368713974952698],\n [0.586614012718201, 0.692366003990173],\n [0.771915018558502, 0.683578014373779],\n [0.531597018241882, 0.352482974529266],\n [0.588370978832245, 0.804440975189209],\n [0.52079701423645, 0.442565023899078],\n [0.567984998226166, 0.493479013442993],\n [0.543282985687256, 0.819254994392395],\n [0.655317008495331, 0.745514988899231],\n [0.621008992195129, 0.574018001556396],\n [0.625559985637665, 0.78031200170517],\n [0.680198013782501, 0.570719003677368],\n [0.64276397228241, 0.604337990283966],\n [0.704662978649139, 0.621529996395111],\n [0.552012026309967, 0.862591981887817],\n [0.589071989059448, 0.508637011051178],\n [0.685944974422455, 0.775357007980347],\n [0.645735025405884, 0.812640011310577],\n [0.675342977046967, 0.703978002071381],\n [0.810858011245728, 0.646304965019226],\n [0.72012197971344, 0.714666962623596],\n [0.866151988506317, 0.682704985141754],\n [0.663187026977539, 0.644596993923187],\n [0.570082008838654, 0.466325998306274],\n [0.544561982154846, 0.548375964164734],\n [0.562758982181549, 0.558784961700439],\n [0.531987011432648, 0.530140042304993],\n [0.585271000862122, 0.335177004337311],\n [0.622952997684479, 0.32277899980545],\n [0.655896008014679, 0.320163011550903],\n [0.687132000923157, 0.322345972061157],\n [0.716481983661652, 0.333200991153717],\n [0.758756995201111, 0.382786989212036],\n [0.897013008594513, 0.468769013881683],\n [0.732392013072968, 0.424547016620636],\n [0.70211398601532, 0.433162987232208],\n [0.66652500629425, 0.433866024017334],\n [0.633504986763, 0.426087975502014],\n [0.603875994682312, 0.416586995124817],\n [0.579657971858978, 0.409945011138916],\n [0.992439985275269, 0.480777025222778],\n [0.567192018032074, 0.569419980049133],\n [0.54136598110199, 0.478899002075195],\n [0.526564002037048, 0.546118021011353],\n [0.523913025856018, 0.563830018043518],\n [0.531529009342194, 0.555056989192963],\n [0.566035985946655, 0.582329034805298],\n [0.51631098985672, 0.563053965568542],\n [0.5174720287323, 0.577877044677734],\n [0.573594987392426, 0.389806985855103],\n [0.560697972774506, 0.395331978797913],\n [0.549755990505219, 0.399751007556915],\n [0.710287988185883, 0.368252992630005],\n [0.723330020904541, 0.363372981548309],\n];\n\nexport const TRI468 = [\n 127, 34, 139, 11, 0, 37, 232, 231, 120, 72, 37, 39, 128, 121, 47, 232, 121, 128, 104, 69, 67, 175, 171, 148, 157, 154, 155, 118, 50, 101, 73, 39, 40, 9,\n 151, 108, 48, 115, 131, 194, 204, 211, 74, 40, 185, 80, 42, 183, 40, 92, 186, 230, 229, 118, 202, 212, 214, 83, 18, 17, 76, 61, 146, 160, 29, 30, 56,\n 157, 173, 106, 204, 194, 135, 214, 192, 203, 165, 98, 21, 71, 68, 51, 45, 4, 144, 24, 23, 77, 146, 91, 205, 50, 187, 201, 200, 18, 91, 106, 182, 90, 91,\n 181, 85, 84, 17, 206, 203, 36, 148, 171, 140, 92, 40, 39, 193, 189, 244, 159, 158, 28, 247, 246, 161, 236, 3, 196, 54, 68, 104, 193, 168, 8, 117,\n 228, 31, 189, 193, 55, 98, 97, 99, 126, 47, 100, 166, 79, 218, 155, 154, 26, 209, 49, 131, 135, 136, 150, 47, 126, 217, 223, 52, 53, 45, 51, 134, 211,\n 170, 140, 67, 69, 108, 43, 106, 91, 230, 119, 120, 226, 130, 247, 63, 53, 52, 238, 20, 242, 46, 70, 156, 78, 62, 96, 46, 53, 63, 143, 34, 227, 173,\n 155, 133, 123, 117, 111, 44, 125, 19, 236, 134, 51, 216, 206, 205, 154, 153, 22, 39, 37, 167, 200, 201, 208, 36, 142, 100, 57, 212, 202, 20, 60, 99, 28,\n 158, 157, 35, 226, 113, 160, 159, 27, 204, 202, 210, 113, 225, 46, 43, 202, 204, 62, 76, 77, 137, 123, 116, 41, 38, 72, 203, 129, 142, 64, 98, 240, 49,\n 102, 64, 41, 73, 74, 212, 216, 207, 42, 74, 184, 169, 170, 211, 170, 149, 176, 105, 66, 69, 122, 6, 168, 123, 147, 187, 96, 77, 90, 65, 55, 107, 89,\n 90, 180, 101, 100, 120, 63, 105, 104, 93, 137, 227, 15, 86, 85, 129, 102, 49, 14, 87, 86, 55, 8, 9, 100, 47, 121, 145, 23, 22, 88, 89, 179, 6, 122,\n 196, 88, 95, 96, 138, 172, 136, 215, 58, 172, 115, 48, 219, 42, 80, 81, 195, 3, 51, 43, 146, 61, 171, 175, 199, 81, 82, 38, 53, 46, 225, 144, 163, 110,\n 246, 33, 7, 52, 65, 66, 229, 228, 117, 34, 127, 234, 107, 108, 69, 109, 108, 151, 48, 64, 235, 62, 78, 191, 129, 209, 126, 111, 35, 143, 163, 161, 246,\n 117, 123, 50, 222, 65, 52, 19, 125, 141, 221, 55, 65, 3, 195, 197, 25, 7, 33, 220, 237, 44, 70, 71, 139, 122, 193, 245, 247, 130, 33, 71, 21, 162,\n 153, 158, 159, 170, 169, 150, 188, 174, 196, 216, 186, 92, 144, 160, 161, 2, 97, 167, 141, 125, 241, 164, 167, 37, 72, 38, 12, 145, 159, 160, 38, 82, 13,\n 63, 68, 71, 226, 35, 111, 158, 153, 154, 101, 50, 205, 206, 92, 165, 209, 198, 217, 165, 167, 97, 220, 115, 218, 133, 112, 243, 239, 238, 241, 214,\n 135, 169, 190, 173, 133, 171, 208, 32, 125, 44, 237, 86, 87, 178, 85, 86, 179, 84, 85, 180, 83, 84, 181, 201, 83, 182, 137, 93, 132, 76, 62, 183, 61,\n 76, 184, 57, 61, 185, 212, 57, 186, 214, 207, 187, 34, 143, 156, 79, 239, 237, 123, 137, 177, 44, 1, 4, 201, 194, 32, 64, 102, 129, 213, 215, 138, 59,\n 166, 219, 242, 99, 97, 2, 94, 141, 75, 59, 235, 24, 110, 228, 25, 130, 226, 23, 24, 229, 22, 23, 230, 26, 22, 231, 112, 26, 232, 189, 190, 243, 221, 56,\n 190, 28, 56, 221, 27, 28, 222, 29, 27, 223, 30, 29, 224, 247, 30, 225, 238, 79, 20, 166, 59, 75, 60, 75, 240, 147, 177, 215, 20, 79, 166, 187, 147, 213,\n 112, 233, 244, 233, 128, 245, 128, 114, 188, 114, 217, 174, 131, 115, 220, 217, 198, 236, 198, 131, 134, 177, 132, 58, 143, 35, 124, 110, 163, 7, 228,\n 110, 25, 356, 389, 368, 11, 302, 267, 452, 350, 349, 302, 303, 269, 357, 343, 277, 452, 453, 357, 333, 332, 297, 175, 152, 377, 384, 398, 382, 347,\n 348, 330, 303, 304, 270, 9, 336, 337, 278, 279, 360, 418, 262, 431, 304, 408, 409, 310, 415, 407, 270, 409, 410, 450, 348, 347, 422, 430, 434, 313,\n 314, 17, 306, 307, 375, 387, 388, 260, 286, 414, 398, 335, 406, 418, 364, 367, 416, 423, 358, 327, 251, 284, 298, 281, 5, 4, 373, 374, 253, 307, 320,\n 321, 425, 427, 411, 421, 313, 18, 321, 405, 406, 320, 404, 405, 315, 16, 17, 426, 425, 266, 377, 400, 369, 322, 391, 269, 417, 465, 464, 386, 257, 258,\n 466, 260, 388, 456, 399, 419, 284, 332, 333, 417, 285, 8, 346, 340, 261, 413, 441, 285, 327, 460, 328, 355, 371, 329, 392, 439, 438, 382, 341, 256,\n 429, 420, 360, 364, 394, 379, 277, 343, 437, 443, 444, 283, 275, 440, 363, 431, 262, 369, 297, 338, 337, 273, 375, 321, 450, 451, 349, 446, 342, 467,\n 293, 334, 282, 458, 461, 462, 276, 353, 383, 308, 324, 325, 276, 300, 293, 372, 345, 447, 382, 398, 362, 352, 345, 340, 274, 1, 19, 456, 248, 281, 436,\n 427, 425, 381, 256, 252, 269, 391, 393, 200, 199, 428, 266, 330, 329, 287, 273, 422, 250, 462, 328, 258, 286, 384, 265, 353, 342, 387, 259, 257, 424,\n 431, 430, 342, 353, 276, 273, 335, 424, 292, 325, 307, 366, 447, 345, 271, 303, 302, 423, 266, 371, 294, 455, 460, 279, 278, 294, 271, 272, 304, 432,\n 434, 427, 272, 407, 408, 394, 430, 431, 395, 369, 400, 334, 333, 299, 351, 417, 168, 352, 280, 411, 325, 319, 320, 295, 296, 336, 319, 403, 404, 330,\n 348, 349, 293, 298, 333, 323, 454, 447, 15, 16, 315, 358, 429, 279, 14, 15, 316, 285, 336, 9, 329, 349, 350, 374, 380, 252, 318, 402, 403, 6, 197, 419,\n 318, 319, 325, 367, 364, 365, 435, 367, 397, 344, 438, 439, 272, 271, 311, 195, 5, 281, 273, 287, 291, 396, 428, 199, 311, 271, 268, 283, 444, 445,\n 373, 254, 339, 263, 466, 249, 282, 334, 296, 449, 347, 346, 264, 447, 454, 336, 296, 299, 338, 10, 151, 278, 439, 455, 292, 407, 415, 358, 371, 355,\n 340, 345, 372, 390, 249, 466, 346, 347, 280, 442, 443, 282, 19, 94, 370, 441, 442, 295, 248, 419, 197, 263, 255, 359, 440, 275, 274, 300, 383, 368,\n 351, 412, 465, 263, 467, 466, 301, 368, 389, 380, 374, 386, 395, 378, 379, 412, 351, 419, 436, 426, 322, 373, 390, 388, 2, 164, 393, 370, 462, 461,\n 164, 0, 267, 302, 11, 12, 374, 373, 387, 268, 12, 13, 293, 300, 301, 446, 261, 340, 385, 384, 381, 330, 266, 425, 426, 423, 391, 429, 355, 437, 391,\n 327, 326, 440, 457, 438, 341, 382, 362, 459, 457, 461, 434, 430, 394, 414, 463, 362, 396, 369, 262, 354, 461, 457, 316, 403, 402, 315, 404, 403, 314,\n 405, 404, 313, 406, 405, 421, 418, 406, 366, 401, 361, 306, 408, 407, 291, 409, 408, 287, 410, 409, 432, 436, 410, 434, 416, 411, 264, 368, 383, 309,\n 438, 457, 352, 376, 401, 274, 275, 4, 421, 428, 262, 294, 327, 358, 433, 416, 367, 289, 455, 439, 462, 370, 326, 2, 326, 370, 305, 460, 455, 254,\n 449, 448, 255, 261, 446, 253, 450, 449, 252, 451, 450, 256, 452, 451, 341, 453, 452, 413, 464, 463, 441, 413, 414, 258, 442, 441, 257, 443, 442, 259,\n 444, 443, 260, 445, 444, 467, 342, 445, 459, 458, 250, 289, 392, 290, 290, 328, 460, 376, 433, 435, 250, 290, 392, 411, 416, 433, 341, 463, 464, 453,\n 464, 465, 357, 465, 412, 343, 412, 399, 360, 363, 440, 437, 399, 456, 420, 456, 363, 401, 435, 288, 372, 383, 353, 339, 255, 249, 448, 261, 255, 133,\n 243, 190, 133, 155, 112, 33, 246, 247, 33, 130, 25, 398, 384, 286, 362, 398, 414, 362, 463, 341, 263, 359, 467, 263, 249, 255, 466, 467, 260, 75, 60,\n 166, 238, 239, 79, 162, 127, 139, 72, 11, 37, 121, 232, 120, 73, 72, 39, 114, 128, 47, 233, 232, 128, 103, 104, 67, 152, 175, 148, 173, 157, 155,\n 119, 118, 101, 74, 73, 40, 107, 9, 108, 49, 48, 131, 32, 194, 211, 184, 74, 185, 191, 80, 183, 185, 40, 186, 119, 230, 118, 210, 202, 214, 84, 83, 17,\n 77, 76, 146, 161, 160, 30, 190, 56, 173, 182, 106, 194, 138, 135, 192, 129, 203, 98, 54, 21, 68, 5, 51, 4, 145, 144, 23, 90, 77, 91, 207, 205, 187, 83,\n 201, 18, 181, 91, 182, 180, 90, 181, 16, 85, 17, 205, 206, 36, 176, 148, 140, 165, 92, 39, 245, 193, 244, 27, 159, 28, 30, 247, 161, 174, 236, 196,\n 103, 54, 104, 55, 193, 8, 111, 117, 31, 221, 189, 55, 240, 98, 99, 142, 126, 100, 219, 166, 218, 112, 155, 26, 198, 209, 131, 169, 135, 150, 114, 47,\n 217, 224, 223, 53, 220, 45, 134, 32, 211, 140, 109, 67, 108, 146, 43, 91, 231, 230, 120, 113, 226, 247, 105, 63, 52, 241, 238, 242, 124, 46, 156, 95,\n 78, 96, 70, 46, 63, 116, 143, 227, 116, 123, 111, 1, 44, 19, 3, 236, 51, 207, 216, 205, 26, 154, 22, 165, 39, 167, 199, 200, 208, 101, 36, 100, 43,\n 57, 202, 242, 20, 99, 56, 28, 157, 124, 35, 113, 29, 160, 27, 211, 204, 210, 124, 113, 46, 106, 43, 204, 96, 62, 77, 227, 137, 116, 73, 41, 72, 36, 203,\n 142, 235, 64, 240, 48, 49, 64, 42, 41, 74, 214, 212, 207, 183, 42, 184, 210, 169, 211, 140, 170, 176, 104, 105, 69, 193, 122, 168, 50, 123, 187, 89, 96,\n 90, 66, 65, 107, 179, 89, 180, 119, 101, 120, 68, 63, 104, 234, 93, 227, 16, 15, 85, 209, 129, 49, 15, 14, 86, 107, 55, 9, 120, 100, 121, 153, 145, 22,\n 178, 88, 179, 197, 6, 196, 89, 88, 96, 135, 138, 136, 138, 215, 172, 218, 115, 219, 41, 42, 81, 5, 195, 51, 57, 43, 61, 208, 171, 199, 41, 81, 38,\n 224, 53, 225, 24, 144, 110, 105, 52, 66, 118, 229, 117, 227, 34, 234, 66, 107, 69, 10, 109, 151, 219, 48, 235, 183, 62, 191, 142, 129, 126, 116, 111,\n 143, 7, 163, 246, 118, 117, 50, 223, 222, 52, 94, 19, 141, 222, 221, 65, 196, 3, 197, 45, 220, 44, 156, 70, 139, 188, 122, 245, 139, 71, 162, 145,\n 153, 159, 149, 170, 150, 122, 188, 196, 206, 216, 92, 163, 144, 161, 164, 2, 167, 242, 141, 241, 0, 164, 37, 11, 72, 12, 144, 145, 160, 12, 38, 13, 70,\n 63, 71, 31, 226, 111, 157, 158, 154, 36, 101, 205, 203, 206, 165, 126, 209, 217, 98, 165, 97, 237, 220, 218, 237, 239, 241, 210, 214, 169, 140, 171, 32,\n 241, 125, 237, 179, 86, 178, 180, 85, 179, 181, 84, 180, 182, 83, 181, 194, 201, 182, 177, 137, 132, 184, 76, 183, 185, 61, 184, 186, 57, 185, 216, 212,\n 186, 192, 214, 187, 139, 34, 156, 218, 79, 237, 147, 123, 177, 45, 44, 4, 208, 201, 32, 98, 64, 129, 192, 213, 138, 235, 59, 219, 141, 242, 97, 97, 2,\n 141, 240, 75, 235, 229, 24, 228, 31, 25, 226, 230, 23, 229, 231, 22, 230, 232, 26, 231, 233, 112, 232, 244, 189, 243, 189, 221, 190, 222, 28, 221,\n 223, 27, 222, 224, 29, 223, 225, 30, 224, 113, 247, 225, 99, 60, 240, 213, 147, 215, 60, 20, 166, 192, 187, 213, 243, 112, 244, 244, 233, 245, 245,\n 128, 188, 188, 114, 174, 134, 131, 220, 174, 217, 236, 236, 198, 134, 215, 177, 58, 156, 143, 124, 25, 110, 7, 31, 228, 25, 264, 356, 368, 0, 11, 267,\n 451, 452, 349, 267, 302, 269, 350, 357, 277, 350, 452, 357, 299, 333, 297, 396, 175, 377, 381, 384, 382, 280, 347, 330, 269, 303, 270, 151, 9, 337,\n 344, 278, 360, 424, 418, 431, 270, 304, 409, 272, 310, 407, 322, 270, 410, 449, 450, 347, 432, 422, 434, 18, 313, 17, 291, 306, 375, 259, 387, 260,\n 424, 335, 418, 434, 364, 416, 391, 423, 327, 301, 251, 298, 275, 281, 4, 254, 373, 253, 375, 307, 321, 280, 425, 411, 200, 421, 18, 335, 321, 406,\n 321, 320, 405, 314, 315, 17, 423, 426, 266, 396, 377, 369, 270, 322, 269, 413, 417, 464, 385, 386, 258, 248, 456, 419, 298, 284, 333, 168, 417, 8,\n 448, 346, 261, 417, 413, 285, 326, 327, 328, 277, 355, 329, 309, 392, 438, 381, 382, 256, 279, 429, 360, 365, 364, 379, 355, 277, 437, 282, 443, 283,\n 281, 275, 363, 395, 431, 369, 299, 297, 337, 335, 273, 321, 348, 450, 349, 359, 446, 467, 283, 293, 282, 250, 458, 462, 300, 276, 383, 292, 308, 325,\n 283, 276, 293, 264, 372, 447, 346, 352, 340, 354, 274, 19, 363, 456, 281, 426, 436, 425, 380, 381, 252, 267, 269, 393, 421, 200, 428, 371, 266, 329,\n 432, 287, 422, 290, 250, 328, 385, 258, 384, 446, 265, 342, 386, 387, 257, 422, 424, 430, 445, 342, 276, 422, 273, 424, 306, 292, 307, 352, 366, 345,\n 268, 271, 302, 358, 423, 371, 327, 294, 460, 331, 279, 294, 303, 271, 304, 436, 432, 427, 304, 272, 408, 395, 394, 431, 378, 395, 400, 296, 334, 299,\n 6, 351, 168, 376, 352, 411, 307, 325, 320, 285, 295, 336, 320, 319, 404, 329, 330, 349, 334, 293, 333, 366, 323, 447, 316, 15, 315, 331, 358, 279,\n 317, 14, 316, 8, 285, 9, 277, 329, 350, 253, 374, 252, 319, 318, 403, 351, 6, 419, 324, 318, 325, 397, 367, 365, 288, 435, 397, 278, 344, 439, 310,\n 272, 311, 248, 195, 281, 375, 273, 291, 175, 396, 199, 312, 311, 268, 276, 283, 445, 390, 373, 339, 295, 282, 296, 448, 449, 346, 356, 264, 454, 337,\n 336, 299, 337, 338, 151, 294, 278, 455, 308, 292, 415, 429, 358, 355, 265, 340, 372, 388, 390, 466, 352, 346, 280, 295, 442, 282, 354, 19, 370, 285,\n 441, 295, 195, 248, 197, 457, 440, 274, 301, 300, 368, 417, 351, 465, 251, 301, 389, 385, 380, 386, 394, 395, 379, 399, 412, 419, 410, 436, 322, 387,\n 373, 388, 326, 2, 393, 354, 370, 461, 393, 164, 267, 268, 302, 12, 386, 374, 387, 312, 268, 13, 298, 293, 301, 265, 446, 340, 380, 385, 381, 280, 330,\n 425, 322, 426, 391, 420, 429, 437, 393, 391, 326, 344, 440, 438, 458, 459, 461, 364, 434, 394, 428, 396, 262, 274, 354, 457, 317, 316, 402, 316, 315,\n 403, 315, 314, 404, 314, 313, 405, 313, 421, 406, 323, 366, 361, 292, 306, 407, 306, 291, 408, 291, 287, 409, 287, 432, 410, 427, 434, 411, 372, 264,\n 383, 459, 309, 457, 366, 352, 401, 1, 274, 4, 418, 421, 262, 331, 294, 358, 435, 433, 367, 392, 289, 439, 328, 462, 326, 94, 2, 370, 289, 305, 455, 339,\n 254, 448, 359, 255, 446, 254, 253, 449, 253, 252, 450, 252, 256, 451, 256, 341, 452, 414, 413, 463, 286, 441, 414, 286, 258, 441, 258, 257, 442, 257,\n 259, 443, 259, 260, 444, 260, 467, 445, 309, 459, 250, 305, 289, 290, 305, 290, 460, 401, 376, 435, 309, 250, 392, 376, 411, 433, 453, 341, 464, 357,\n 453, 465, 343, 357, 412, 437, 343, 399, 344, 360, 440, 420, 437, 456, 360, 420, 363, 361, 401, 288, 265, 372, 353, 390, 339, 249, 339, 448, 255];\n\nexport const TRI68 = [0, 1, 36, 0, 36, 17, 1, 2, 41, 1, 41, 36, 2, 3, 31, 2, 31, 41, 3, 4, 48, 3, 48, 31, 4, 5, 48, 5, 6, 48, 6, 7, 59, 6, 59, 48, 7, 8, 58, 7, 58, 59,\n 8, 9, 56, 8, 56, 57, 8, 57, 58, 9, 10, 55, 9, 55, 56, 10, 11, 54, 10, 54, 55, 11, 12, 54, 12, 13, 54, 13, 14, 35, 13, 35, 54, 14, 15, 46, 14, 46, 35, 15, 16,\n 45, 15, 45, 46, 16, 26, 45, 17, 36, 18, 18, 37, 19, 18, 36, 37, 19, 38, 20, 19, 37, 38, 20, 39, 21, 20, 38, 39, 21, 39, 27, 22, 42, 23, 22, 27, 42, 23, 43, 24,\n 23, 42, 43, 24, 44, 25, 24, 43, 44, 25, 45, 26, 25, 44, 45, 27, 39, 28, 27, 28, 42, 28, 39, 29, 28, 29, 42, 29, 31, 30, 29, 30, 35, 29, 40, 31, 29, 35, 47, 29,\n 39, 40, 29, 47, 42, 30, 31, 32, 30, 32, 33, 30, 33, 34, 30, 34, 35, 31, 50, 32, 31, 40, 41, 31, 48, 49, 31, 49, 50, 32, 51, 33, 32, 50, 51, 33, 51, 34, 34, 52,\n 35, 34, 51, 52, 35, 46, 47, 35, 52, 53, 35, 53, 54, 36, 41, 37, 37, 40, 38, 37, 41, 40, 38, 40, 39, 42, 47, 43, 43, 47, 44, 44, 46, 45, 44, 47, 46, 48, 60, 49,\n 48, 59, 60, 49, 61, 50, 49, 60, 61, 50, 62, 51, 50, 61, 62, 51, 62, 52, 52, 63, 53, 52, 62, 63, 53, 64, 54, 53, 63, 64, 54, 64, 55, 55, 65, 56, 55, 64, 65, 56,\n 66, 57, 56, 65, 66, 57, 66, 58, 58, 67, 59, 58, 66, 67, 59, 67, 60, 60, 67, 61, 61, 66, 62, 61, 67, 66, 62, 66, 63, 63, 65, 64, 63, 66, 65, 21, 27, 22];\n\nexport const TRI33 = [\n /* eyes */ 0, 8, 7, 7, 8, 1, 2, 10, 9, 9, 10, 3,\n /* brows */ 17, 0, 18, 18, 0, 7, 18, 7, 19, 19, 7, 1, 19, 1, 11, 19, 11, 20, 21, 3, 22, 21, 9, 3, 20, 9, 21, 20, 2, 9, 20, 11, 2,\n /* 4head */ 23, 17, 18, 25, 21, 22, 24, 19, 20, 24, 18, 19, 24, 20, 21, 24, 23, 18, 24, 21, 25,\n /* nose */ 11, 12, 4, 11, 4, 13, 1, 12, 11, 11, 13, 2, 12, 14, 4, 4, 14, 13,\n /* up-lip */ 14, 5, 15, 14, 15, 6, 12, 5, 14, 14, 6, 13,\n /* cheeks */ 8, 12, 1, 2, 13, 10, 8, 26, 12, 10, 13, 27, 26, 5, 12, 13, 6, 27, 0, 26, 8, 10, 27, 3,\n /* chin */ 5, 32, 16, 16, 32, 6, 5, 30, 32, 6, 32, 31,\n /* cont */ 26, 30, 5, 27, 6, 31, 0, 28, 26, 3, 27, 29, 17, 28, 0, 3, 29, 22, 23, 28, 17, 22, 29, 25, 28, 30, 26, 27, 31, 29,\n];\n\nexport const TRI7 = [0, 4, 1, 2, 4, 3, 4, 5, 6];\n\nexport const VTX68 = [\n /* cont */ 127, 234, 132, 58, 172, 150, 149, 148, 152, 377, 378, 379, 397, 288, 361, 454, 356,\n /* brows */ 70, 63, 105, 66, 107, 336, 296, 334, 293, 300,\n /* nose */ 168, 6, 195, 4, 98, 97, 2, 326, 327,\n /* eyes */ 33, 160, 158, 133, 153, 144, 362, 385, 387, 263, 373, 380,\n /* lip */ 57, 40, 37, 0, 267, 270, 287, 321, 314, 17, 84, 91,\n /* mouth */ 78, 81, 13, 311, 308, 402, 14, 178,\n];\n\nexport const VTX33 = [33, 133, 362, 263, 1, 62, 308, 159, 145, 386, 374, 6, 102, 331, 2, 13, 14, 70, 105, 107, 336, 334, 300, 54, 10, 284, 50, 280, 234, 454, 58, 288, 152];\n\nexport const VTX7 = [33, 133, 362, 263, 1, 78, 308];\n\nexport const UV68 = VTX68.map((x) => UV468[x]);\n\nexport const UV33 = VTX33.map((x) => UV468[x]);\n\nexport const UV7 = VTX7.map((x) => UV468[x]);\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as profile from '../profile';\n\nexport class FaceBoxes {\n enlarge: number;\n model: any;\n config: any;\n\n constructor(model, config) {\n this.enlarge = 1.1;\n this.model = model;\n this.config = config;\n }\n\n async estimateFaces(input, config) {\n if (config) this.config = config;\n const results: Array<{ confidence: number, box: any, boxRaw: any, image: any }> = [];\n const resizeT = tf.image.resizeBilinear(input, [this.config.face.detector.inputSize, this.config.face.detector.inputSize]);\n const castT = resizeT.toInt();\n let scores;\n let boxes;\n if (!config.profile) {\n const [scoresT, boxesT, numT] = await this.model.executeAsync(castT);\n scores = scoresT.dataSync();\n const squeezeT = boxesT.squeeze();\n boxes = squeezeT.arraySync();\n scoresT.dispose();\n boxesT.dispose();\n squeezeT.dispose();\n numT.dispose();\n } else {\n const profileData = await tf.profile(() => this.model.executeAsync(castT));\n scores = profileData.result[0].dataSync();\n const squeezeT = profileData.result[1].squeeze();\n boxes = squeezeT.arraySync();\n profileData.result.forEach((t) => t.dispose());\n profile.run('faceboxes', profileData);\n }\n castT.dispose();\n resizeT.dispose();\n for (const i in boxes) {\n if (scores[i] && scores[i] > this.config.face.detector.minConfidence) {\n const crop = [boxes[i][0] / this.enlarge, boxes[i][1] / this.enlarge, boxes[i][2] * this.enlarge, boxes[i][3] * this.enlarge];\n const boxRaw = [crop[1], crop[0], (crop[3]) - (crop[1]), (crop[2]) - (crop[0])];\n const box = [\n parseInt((boxRaw[0] * input.shape[2]).toString()),\n parseInt((boxRaw[1] * input.shape[1]).toString()),\n parseInt((boxRaw[2] * input.shape[2]).toString()),\n parseInt((boxRaw[3] * input.shape[1]).toString())];\n const resized = tf.image.cropAndResize(input, [crop], [0], [this.config.face.detector.inputSize, this.config.face.detector.inputSize]);\n const image = resized.div([255]);\n resized.dispose();\n results.push({ confidence: scores[i], box, boxRaw: this.config.face.mesh.returnRawData ? boxRaw : null, image });\n // add mesh, meshRaw, annotations,\n }\n }\n return results;\n }\n}\n\nexport async function load(config) {\n const model = await tf.loadGraphModel(config.face.detector.modelPath);\n log(`load model: ${config.face.detector.modelPath.match(/\\/(.*)\\./)[1]}`);\n const faceboxes = new FaceBoxes(model, config);\n if (config.face.mesh.enabled) log(`load model: ${config.face.mesh.modelPath.match(/\\/(.*)\\./)[1]}`);\n if (config.face.iris.enabled) log(`load model: ${config.face.iris.modelPath.match(/\\/(.*)\\./)[1]}`);\n return faceboxes;\n}\n", "import { log } from './log';\n\nexport const data = {};\n\nexport function run(name: string, raw: any) {\n if (!raw || !raw.kernels) return;\n const maxResults = 5;\n const time = raw.kernels\n .filter((a) => a.kernelTimeMs > 0)\n .reduce((a, b) => a += b.kernelTimeMs, 0);\n const slowest = raw.kernels\n .map((a, i) => { a.id = i; return a; })\n .filter((a) => a.kernelTimeMs > 0)\n .sort((a, b) => b.kernelTimeMs - a.kernelTimeMs);\n const largest = raw.kernels\n .map((a, i) => { a.id = i; return a; })\n .filter((a) => a.totalBytesSnapshot > 0)\n .sort((a, b) => b.totalBytesSnapshot - a.totalBytesSnapshot);\n if (slowest.length > maxResults) slowest.length = maxResults;\n if (largest.length > maxResults) largest.length = maxResults;\n const res = { newBytes: raw.newBytes, newTensors: raw.newTensors, peakBytes: raw.peakBytes, numKernelOps: raw.kernels.length, timeKernelOps: time, slowestKernelOps: slowest, largestKernelOps: largest };\n data[name] = res;\n log('Human profiler', name, res);\n}\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as profile from '../profile';\n\nlet model;\nlet last = { age: 0 };\nlet skipped = Number.MAX_SAFE_INTEGER;\n\nexport async function load(config) {\n if (!model) {\n model = await tf.loadGraphModel(config.face.age.modelPath);\n log(`load model: ${config.face.age.modelPath.match(/\\/(.*)\\./)[1]}`);\n }\n return model;\n}\n\nexport async function predict(image, config) {\n if (!model) return null;\n if ((skipped < config.face.age.skipFrames) && config.videoOptimized && last.age && (last.age > 0)) {\n skipped++;\n return last;\n }\n if (config.videoOptimized) skipped = 0;\n else skipped = Number.MAX_SAFE_INTEGER;\n return new Promise(async (resolve) => {\n /*\n const zoom = [0, 0]; // 0..1 meaning 0%..100%\n const box = [[\n (image.shape[1] * zoom[0]) / image.shape[1],\n (image.shape[2] * zoom[1]) / image.shape[2],\n (image.shape[1] - (image.shape[1] * zoom[0])) / image.shape[1],\n (image.shape[2] - (image.shape[2] * zoom[1])) / image.shape[2],\n ]];\n const resize = tf.image.cropAndResize(image, box, [0], [config.face.age.inputSize, config.face.age.inputSize]);\n */\n const resize = tf.image.resizeBilinear(image, [config.face.age.inputSize, config.face.age.inputSize], false);\n const enhance = tf.mul(resize, [255.0]);\n tf.dispose(resize);\n\n let ageT;\n const obj = { age: 0 };\n\n if (!config.profile) {\n if (config.face.age.enabled) ageT = await model.predict(enhance);\n } else {\n const profileAge = config.face.age.enabled ? await tf.profile(() => model.predict(enhance)) : {};\n ageT = profileAge.result.clone();\n profileAge.result.dispose();\n profile.run('age', profileAge);\n }\n enhance.dispose();\n\n if (ageT) {\n const data = ageT.dataSync();\n obj.age = Math.trunc(10 * data[0]) / 10;\n }\n ageT.dispose();\n\n last = obj;\n resolve(obj);\n });\n}\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as profile from '../profile';\n\nlet model;\nlet last = { gender: '' };\nlet skipped = Number.MAX_SAFE_INTEGER;\nlet alternative = false;\n\n// tuning values\nconst rgb = [0.2989, 0.5870, 0.1140]; // factors for red/green/blue colors when converting to grayscale\n\nexport async function load(config) {\n if (!model) {\n model = await tf.loadGraphModel(config.face.gender.modelPath);\n alternative = model.inputs[0].shape[3] === 1;\n log(`load model: ${config.face.gender.modelPath.match(/\\/(.*)\\./)[1]}`);\n }\n return model;\n}\n\nexport async function predict(image, config) {\n if (!model) return null;\n if ((skipped < config.face.gender.skipFrames) && config.videoOptimized && last.gender !== '') {\n skipped++;\n return last;\n }\n if (config.videoOptimized) skipped = 0;\n else skipped = Number.MAX_SAFE_INTEGER;\n return new Promise(async (resolve) => {\n const resize = tf.image.resizeBilinear(image, [config.face.gender.inputSize, config.face.gender.inputSize], false);\n let enhance;\n if (alternative) {\n enhance = tf.tidy(() => {\n const [red, green, blue] = tf.split(resize, 3, 3);\n const redNorm = tf.mul(red, rgb[0]);\n const greenNorm = tf.mul(green, rgb[1]);\n const blueNorm = tf.mul(blue, rgb[2]);\n const grayscale = tf.addN([redNorm, greenNorm, blueNorm]);\n return grayscale.sub(0.5).mul(2);\n });\n } else {\n enhance = tf.mul(resize, [255.0]);\n }\n tf.dispose(resize);\n\n let genderT;\n const obj = { gender: '', confidence: 0 };\n\n if (!config.profile) {\n if (config.face.gender.enabled) genderT = await model.predict(enhance);\n } else {\n const profileGender = config.face.gender.enabled ? await tf.profile(() => model.predict(enhance)) : {};\n genderT = profileGender.result.clone();\n profileGender.result.dispose();\n profile.run('gender', profileGender);\n }\n enhance.dispose();\n\n if (genderT) {\n const data = genderT.dataSync();\n if (alternative) {\n // returns two values 0..1, bigger one is prediction\n const confidence = Math.trunc(100 * Math.abs(data[0] - data[1])) / 100;\n if (confidence > config.face.gender.minConfidence) {\n obj.gender = data[0] > data[1] ? 'female' : 'male';\n obj.confidence = confidence;\n }\n } else {\n // returns one value 0..1, .5 is prediction threshold\n const confidence = Math.trunc(200 * Math.abs((data[0] - 0.5))) / 100;\n if (confidence > config.face.gender.minConfidence) {\n obj.gender = data[0] <= 0.5 ? 'female' : 'male';\n obj.confidence = Math.min(0.99, confidence);\n }\n }\n }\n genderT.dispose();\n\n last = obj;\n resolve(obj);\n });\n}\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as profile from '../profile';\n\nconst annotations = ['angry', 'disgust', 'fear', 'happy', 'sad', 'surprise', 'neutral'];\nlet model;\nlet last: Array<{ score: number, emotion: string }> = [];\nlet skipped = Number.MAX_SAFE_INTEGER;\n\n// tuning values\nconst rgb = [0.2989, 0.5870, 0.1140]; // factors for red/green/blue colors when converting to grayscale\nconst scale = 1; // score multiplication factor\n\nexport async function load(config) {\n if (!model) {\n model = await tf.loadGraphModel(config.face.emotion.modelPath);\n log(`load model: ${config.face.emotion.modelPath.match(/\\/(.*)\\./)[1]}`);\n }\n return model;\n}\n\nexport async function predict(image, config) {\n if (!model) return null;\n if ((skipped < config.face.emotion.skipFrames) && config.videoOptimized && (last.length > 0)) {\n skipped++;\n return last;\n }\n if (config.videoOptimized) skipped = 0;\n else skipped = Number.MAX_SAFE_INTEGER;\n return new Promise(async (resolve) => {\n /*\n const zoom = [0, 0]; // 0..1 meaning 0%..100%\n const box = [[\n (image.shape[1] * zoom[0]) / image.shape[1],\n (image.shape[2] * zoom[1]) / image.shape[2],\n (image.shape[1] - (image.shape[1] * zoom[0])) / image.shape[1],\n (image.shape[2] - (image.shape[2] * zoom[1])) / image.shape[2],\n ]];\n const resize = tf.image.cropAndResize(image, box, [0], [config.face.emotion.inputSize, config.face.emotion.inputSize]);\n */\n const resize = tf.image.resizeBilinear(image, [config.face.emotion.inputSize, config.face.emotion.inputSize], false);\n const [red, green, blue] = tf.split(resize, 3, 3);\n resize.dispose();\n // weighted rgb to grayscale: https://www.mathworks.com/help/matlab/ref/rgb2gray.html\n const redNorm = tf.mul(red, rgb[0]);\n const greenNorm = tf.mul(green, rgb[1]);\n const blueNorm = tf.mul(blue, rgb[2]);\n red.dispose();\n green.dispose();\n blue.dispose();\n const grayscale = tf.addN([redNorm, greenNorm, blueNorm]);\n redNorm.dispose();\n greenNorm.dispose();\n blueNorm.dispose();\n const normalize = tf.tidy(() => grayscale.sub(0.5).mul(2));\n grayscale.dispose();\n const obj: Array<{ score: number, emotion: string }> = [];\n if (config.face.emotion.enabled) {\n let data;\n if (!config.profile) {\n const emotionT = await model.predict(normalize);\n data = emotionT.dataSync();\n tf.dispose(emotionT);\n } else {\n const profileData = await tf.profile(() => model.predict(normalize));\n data = profileData.result.dataSync();\n profileData.result.dispose();\n profile.run('emotion', profileData);\n }\n for (let i = 0; i < data.length; i++) {\n if (scale * data[i] > config.face.emotion.minConfidence) obj.push({ score: Math.min(0.99, Math.trunc(100 * scale * data[i]) / 100), emotion: annotations[i] });\n }\n obj.sort((a, b) => b.score - a.score);\n }\n normalize.dispose();\n last = obj;\n resolve(obj);\n });\n}\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as profile from '../profile';\n\n// based on https://github.com/sirius-ai/MobileFaceNet_TF\n// model converted from https://github.com/sirius-ai/MobileFaceNet_TF/files/3551493/FaceMobileNet192_train_false.zip\n\nlet model;\n\nexport async function load(config) {\n if (!model) {\n model = await tf.loadGraphModel(config.face.embedding.modelPath);\n log(`load model: ${config.face.embedding.modelPath.match(/\\/(.*)\\./)[1]}`);\n }\n return model;\n}\n\nexport function simmilarity(embedding1, embedding2) {\n if (!embedding1 || embedding2) return 0;\n if (embedding1?.length === 0 || embedding2?.length === 0) return 0;\n if (embedding1?.length !== embedding2?.length) return 0;\n // general minkowski distance\n // euclidean distance is limited case where order is 2\n const order = 2;\n const distance = 10.0 * ((embedding1.map((val, i) => (val - embedding2[i])).reduce((dist, diff) => dist + (diff ** order), 0) ** (1 / order)));\n return (Math.trunc(1000 * (1 - distance)) / 1000);\n}\n\nexport async function predict(image, config) {\n if (!model) return null;\n return new Promise(async (resolve) => {\n const resize = tf.image.resizeBilinear(image, [config.face.embedding.inputSize, config.face.embedding.inputSize], false);\n // const normalize = tf.tidy(() => resize.div(127.5).sub(0.5)); // this is -0.5...0.5 ???\n let data: Array<[]> = [];\n if (config.face.embedding.enabled) {\n if (!config.profile) {\n const embeddingT = await model.predict({ img_inputs: resize });\n data = [...embeddingT.dataSync()]; // convert object array to standard array\n tf.dispose(embeddingT);\n } else {\n const profileData = await tf.profile(() => model.predict({ img_inputs: resize }));\n data = [...profileData.result.dataSync()];\n profileData.result.dispose();\n profile.run('emotion', profileData);\n }\n }\n resize.dispose();\n // normalize.dispose();\n resolve(data);\n });\n}\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as modelBase from './modelBase';\nimport * as decodeMultiple from './decodeMultiple';\nimport * as decodePose from './decodePose';\nimport * as util from './util';\n\nasync function estimateMultiple(input, res, config) {\n return new Promise(async (resolve) => {\n const height = input.shape[1];\n const width = input.shape[2];\n const allTensorBuffers = await util.toTensorBuffers3D([res.heatmapScores, res.offsets, res.displacementFwd, res.displacementBwd]);\n const scoresBuffer = allTensorBuffers[0];\n const offsetsBuffer = allTensorBuffers[1];\n const displacementsFwdBuffer = allTensorBuffers[2];\n const displacementsBwdBuffer = allTensorBuffers[3];\n const poses = await decodeMultiple.decodeMultiplePoses(scoresBuffer, offsetsBuffer, displacementsFwdBuffer, displacementsBwdBuffer, config);\n const scaled = util.scaleAndFlipPoses(poses, [height, width], [config.body.inputSize, config.body.inputSize]);\n resolve(scaled);\n });\n}\n\nasync function estimateSingle(input, res, config) {\n return new Promise(async (resolve) => {\n const height = input.shape[1];\n const width = input.shape[2];\n const pose = await decodePose.decodeSinglePose(res.heatmapScores, res.offsets, config);\n const poses = [pose];\n const scaled = util.scaleAndFlipPoses(poses, [height, width], [config.body.inputSize, config.body.inputSize]);\n resolve(scaled);\n });\n}\n\nexport class PoseNet {\n baseModel: any;\n constructor(model) {\n this.baseModel = model;\n }\n\n async estimatePoses(input, config) {\n const resized = util.resizeTo(input, [config.body.inputSize, config.body.inputSize]);\n const res = this.baseModel.predict(resized, config);\n\n const poses = (config.body.maxDetections < 2) ? await estimateSingle(input, res, config) : await estimateMultiple(input, res, config);\n\n res.heatmapScores.dispose();\n res.offsets.dispose();\n res.displacementFwd.dispose();\n res.displacementBwd.dispose();\n resized.dispose();\n\n return poses;\n }\n\n dispose() {\n this.baseModel.dispose();\n }\n}\n\nexport async function load(config) {\n const model = await tf.loadGraphModel(config.body.modelPath);\n const mobilenet = new modelBase.BaseModel(model);\n log(`load model: ${config.body.modelPath.match(/\\/(.*)\\./)[1]}`);\n return new PoseNet(mobilenet);\n}\n", "import * as tf from '../../dist/tfjs.esm.js';\n\nconst imageNetMean = [-123.15, -115.90, -103.06];\n\nfunction nameOutputResultsMobileNet(results) {\n const [offsets, heatmap, displacementFwd, displacementBwd] = results;\n return { offsets, heatmap, displacementFwd, displacementBwd };\n}\n\nfunction nameOutputResultsResNet(results) {\n const [displacementFwd, displacementBwd, offsets, heatmap] = results;\n return { offsets, heatmap, displacementFwd, displacementBwd };\n}\n\nexport class BaseModel {\n model: any;\n constructor(model) {\n this.model = model;\n }\n\n predict(input, config) {\n return tf.tidy(() => {\n const asFloat = (config.body.modelType === 'ResNet') ? input.toFloat().add(imageNetMean) : input.toFloat().div(127.5).sub(1.0);\n const asBatch = asFloat.expandDims(0);\n const results = this.model.predict(asBatch);\n const results3d = results.map((y) => y.squeeze([0]));\n const namedResults = (config.body.modelType === 'ResNet') ? nameOutputResultsResNet(results3d) : nameOutputResultsMobileNet(results3d);\n return {\n heatmapScores: namedResults.heatmap.sigmoid(),\n offsets: namedResults.offsets,\n displacementFwd: namedResults.displacementFwd,\n displacementBwd: namedResults.displacementBwd,\n };\n });\n }\n\n dispose() {\n this.model.dispose();\n }\n}\n", "// algorithm based on Coursera Lecture from Algorithms, Part 1: https://www.coursera.org/learn/algorithms-part1/lecture/ZjoSM/heapsort\nfunction half(k) {\n return Math.floor(k / 2);\n}\nexport class MaxHeap {\n priorityQueue: any;\n numberOfElements: number;\n getElementValue: any;\n\n constructor(maxSize, getElementValue) {\n this.priorityQueue = new Array(maxSize);\n this.numberOfElements = -1;\n this.getElementValue = getElementValue;\n }\n\n enqueue(x) {\n this.priorityQueue[++this.numberOfElements] = x;\n this.swim(this.numberOfElements);\n }\n\n dequeue() {\n const max = this.priorityQueue[0];\n this.exchange(0, this.numberOfElements--);\n this.sink(0);\n this.priorityQueue[this.numberOfElements + 1] = null;\n return max;\n }\n\n empty() {\n return this.numberOfElements === -1;\n }\n\n size() {\n return this.numberOfElements + 1;\n }\n\n all() {\n return this.priorityQueue.slice(0, this.numberOfElements + 1);\n }\n\n max() {\n return this.priorityQueue[0];\n }\n\n swim(k) {\n while (k > 0 && this.less(half(k), k)) {\n this.exchange(k, half(k));\n k = half(k);\n }\n }\n\n sink(k) {\n while (2 * k <= this.numberOfElements) {\n let j = 2 * k;\n if (j < this.numberOfElements && this.less(j, j + 1)) j++;\n if (!this.less(k, j)) break;\n this.exchange(k, j);\n k = j;\n }\n }\n\n getValueAt(i) {\n return this.getElementValue(this.priorityQueue[i]);\n }\n\n less(i, j) {\n return this.getValueAt(i) < this.getValueAt(j);\n }\n\n exchange(i, j) {\n const t = this.priorityQueue[i];\n this.priorityQueue[i] = this.priorityQueue[j];\n this.priorityQueue[j] = t;\n }\n}\n", "import * as heapSort from './heapSort';\n\nfunction scoreIsMaximumInLocalWindow(keypointId, score, heatmapY, heatmapX, localMaximumRadius, scores) {\n const [height, width] = scores.shape;\n let localMaximum = true;\n const yStart = Math.max(heatmapY - localMaximumRadius, 0);\n const yEnd = Math.min(heatmapY + localMaximumRadius + 1, height);\n for (let yCurrent = yStart; yCurrent < yEnd; ++yCurrent) {\n const xStart = Math.max(heatmapX - localMaximumRadius, 0);\n const xEnd = Math.min(heatmapX + localMaximumRadius + 1, width);\n for (let xCurrent = xStart; xCurrent < xEnd; ++xCurrent) {\n if (scores.get(yCurrent, xCurrent, keypointId) > score) {\n localMaximum = false;\n break;\n }\n }\n if (!localMaximum) break;\n }\n return localMaximum;\n}\n\nexport function buildPartWithScoreQueue(scoreThreshold, localMaximumRadius, scores) {\n const [height, width, numKeypoints] = scores.shape;\n const queue = new heapSort.MaxHeap(height * width * numKeypoints, ({ score }) => score);\n for (let heatmapY = 0; heatmapY < height; ++heatmapY) {\n for (let heatmapX = 0; heatmapX < width; ++heatmapX) {\n for (let keypointId = 0; keypointId < numKeypoints; ++keypointId) {\n const score = scores.get(heatmapY, heatmapX, keypointId);\n // Only consider parts with score greater or equal to threshold as root candidates.\n if (score < scoreThreshold) continue;\n // Only consider keypoints whose score is maximum in a local window.\n if (scoreIsMaximumInLocalWindow(keypointId, score, heatmapY, heatmapX, localMaximumRadius, scores)) {\n queue.enqueue({ score, part: { heatmapY, heatmapX, id: keypointId } });\n }\n }\n }\n }\n return queue;\n}\n", "import * as keypoints from './keypoints';\nimport * as vectors from './vectors';\nimport * as decoders from './decoders';\n\nconst parentChildrenTuples = keypoints.poseChain.map(([parentJoinName, childJoinName]) => ([keypoints.partIds[parentJoinName], keypoints.partIds[childJoinName]]));\nconst parentToChildEdges = parentChildrenTuples.map(([, childJointId]) => childJointId);\nconst childToParentEdges = parentChildrenTuples.map(([parentJointId]) => parentJointId);\nfunction getDisplacement(edgeId, point, displacements) {\n const numEdges = displacements.shape[2] / 2;\n return {\n y: displacements.get(point.y, point.x, edgeId),\n x: displacements.get(point.y, point.x, numEdges + edgeId),\n };\n}\nfunction getStridedIndexNearPoint(point, outputStride, height, width) {\n return {\n y: vectors.clamp(Math.round(point.y / outputStride), 0, height - 1),\n x: vectors.clamp(Math.round(point.x / outputStride), 0, width - 1),\n };\n}\n\nfunction traverseToTargetKeypoint(edgeId, sourceKeypoint, targetKeypointId, scoresBuffer, offsets, outputStride, displacements, offsetRefineStep = 2) {\n const [height, width] = scoresBuffer.shape;\n // Nearest neighbor interpolation for the source->target displacements.\n const sourceKeypointIndices = getStridedIndexNearPoint(sourceKeypoint.position, outputStride, height, width);\n const displacement = getDisplacement(edgeId, sourceKeypointIndices, displacements);\n const displacedPoint = vectors.addVectors(sourceKeypoint.position, displacement);\n let targetKeypoint = displacedPoint;\n for (let i = 0; i < offsetRefineStep; i++) {\n const targetKeypointIndices = getStridedIndexNearPoint(targetKeypoint, outputStride, height, width);\n const offsetPoint = vectors.getOffsetPoint(targetKeypointIndices.y, targetKeypointIndices.x, targetKeypointId, offsets);\n targetKeypoint = vectors.addVectors({\n x: targetKeypointIndices.x * outputStride,\n y: targetKeypointIndices.y * outputStride,\n }, { x: offsetPoint.x, y: offsetPoint.y });\n }\n const targetKeyPointIndices = getStridedIndexNearPoint(targetKeypoint, outputStride, height, width);\n const score = scoresBuffer.get(targetKeyPointIndices.y, targetKeyPointIndices.x, targetKeypointId);\n return { position: targetKeypoint, part: keypoints.partNames[targetKeypointId], score };\n}\n\nexport function decodePose(root, scores, offsets, outputStride, displacementsFwd, displacementsBwd) {\n const numParts = scores.shape[2];\n const numEdges = parentToChildEdges.length;\n const instanceKeypoints = new Array(numParts);\n // Start a new detection instance at the position of the root.\n const { part: rootPart, score: rootScore } = root;\n const rootPoint = vectors.getImageCoords(rootPart, outputStride, offsets);\n instanceKeypoints[rootPart.id] = {\n score: rootScore,\n part: keypoints.partNames[rootPart.id],\n position: rootPoint,\n };\n // Decode the part positions upwards in the tree, following the backward displacements.\n for (let edge = numEdges - 1; edge >= 0; --edge) {\n const sourceKeypointId = parentToChildEdges[edge];\n const targetKeypointId = childToParentEdges[edge];\n if (instanceKeypoints[sourceKeypointId] && !instanceKeypoints[targetKeypointId]) {\n instanceKeypoints[targetKeypointId] = traverseToTargetKeypoint(edge, instanceKeypoints[sourceKeypointId], targetKeypointId, scores, offsets, outputStride, displacementsBwd);\n }\n }\n // Decode the part positions downwards in the tree, following the forward displacements.\n for (let edge = 0; edge < numEdges; ++edge) {\n const sourceKeypointId = childToParentEdges[edge];\n const targetKeypointId = parentToChildEdges[edge];\n if (instanceKeypoints[sourceKeypointId] && !instanceKeypoints[targetKeypointId]) {\n instanceKeypoints[targetKeypointId] = traverseToTargetKeypoint(edge, instanceKeypoints[sourceKeypointId], targetKeypointId, scores, offsets, outputStride, displacementsFwd);\n }\n }\n return instanceKeypoints;\n}\n\nexport async function decodeSinglePose(heatmapScores, offsets, config) {\n let totalScore = 0.0;\n const heatmapValues = decoders.argmax2d(heatmapScores);\n const allTensorBuffers = await Promise.all([heatmapScores.buffer(), offsets.buffer(), heatmapValues.buffer()]);\n const scoresBuffer = allTensorBuffers[0];\n const offsetsBuffer = allTensorBuffers[1];\n const heatmapValuesBuffer = allTensorBuffers[2];\n const offsetPoints = decoders.getOffsetPoints(heatmapValuesBuffer, config.body.outputStride, offsetsBuffer);\n const offsetPointsBuffer = await offsetPoints.buffer();\n const keypointConfidence = Array.from(decoders.getPointsConfidence(scoresBuffer, heatmapValuesBuffer));\n const instanceKeypoints = keypointConfidence.map((score, i) => {\n totalScore += score;\n return {\n position: {\n y: offsetPointsBuffer.get(i, 0),\n x: offsetPointsBuffer.get(i, 1),\n },\n part: keypoints.partNames[i],\n score,\n };\n });\n const filteredKeypoints = instanceKeypoints.filter((kpt) => kpt.score > config.body.scoreThreshold);\n heatmapValues.dispose();\n offsetPoints.dispose();\n return { keypoints: filteredKeypoints, score: totalScore / instanceKeypoints.length };\n}\n", "import * as kpt from './keypoints';\n\nexport function getOffsetPoint(y, x, keypoint, offsets) {\n return {\n y: offsets.get(y, x, keypoint),\n x: offsets.get(y, x, keypoint + kpt.NUM_KEYPOINTS),\n };\n}\n\nexport function getImageCoords(part, outputStride, offsets) {\n const { heatmapY, heatmapX, id: keypoint } = part;\n const { y, x } = getOffsetPoint(heatmapY, heatmapX, keypoint, offsets);\n return {\n x: part.heatmapX * outputStride + x,\n y: part.heatmapY * outputStride + y,\n };\n}\n\nexport function fillArray(element, size) {\n const result = new Array(size);\n for (let i = 0; i < size; i++) {\n result[i] = element;\n }\n return result;\n}\n\nexport function clamp(a, min, max) {\n if (a < min) return min;\n if (a > max) return max;\n return a;\n}\n\nexport function squaredDistance(y1, x1, y2, x2) {\n const dy = y2 - y1;\n const dx = x2 - x1;\n return dy * dy + dx * dx;\n}\n\nexport function addVectors(a, b) {\n return { x: a.x + b.x, y: a.y + b.y };\n}\n\nexport function clampVector(a, min, max) {\n return { y: clamp(a.y, min, max), x: clamp(a.x, min, max) };\n}\n", "import * as tf from '../../dist/tfjs.esm.js';\nimport * as kpt from './keypoints';\n\nexport function getPointsConfidence(heatmapScores, heatMapCoords) {\n const numKeypoints = heatMapCoords.shape[0];\n const result = new Float32Array(numKeypoints);\n for (let keypoint = 0; keypoint < numKeypoints; keypoint++) {\n const y = heatMapCoords.get(keypoint, 0);\n const x = heatMapCoords.get(keypoint, 1);\n result[keypoint] = heatmapScores.get(y, x, keypoint);\n }\n return result;\n}\n\nfunction getOffsetPoint(y, x, keypoint, offsetsBuffer) {\n return {\n y: offsetsBuffer.get(y, x, keypoint),\n x: offsetsBuffer.get(y, x, keypoint + kpt.NUM_KEYPOINTS),\n };\n}\n\nexport function getOffsetVectors(heatMapCoordsBuffer, offsetsBuffer) {\n const result: Array = [];\n for (let keypoint = 0; keypoint < kpt.NUM_KEYPOINTS; keypoint++) {\n const heatmapY = heatMapCoordsBuffer.get(keypoint, 0).valueOf();\n const heatmapX = heatMapCoordsBuffer.get(keypoint, 1).valueOf();\n const { x, y } = getOffsetPoint(heatmapY, heatmapX, keypoint, offsetsBuffer);\n result.push(y);\n result.push(x);\n }\n return tf.tensor2d(result, [kpt.NUM_KEYPOINTS, 2]);\n}\n\nexport function getOffsetPoints(heatMapCoordsBuffer, outputStride, offsetsBuffer) {\n return tf.tidy(() => heatMapCoordsBuffer.toTensor().mul(tf.scalar(outputStride, 'int32')).toFloat().add(getOffsetVectors(heatMapCoordsBuffer, offsetsBuffer)));\n}\n\nfunction mod(a, b) {\n return tf.tidy(() => {\n const floored = a.div(tf.scalar(b, 'int32'));\n return a.sub(floored.mul(tf.scalar(b, 'int32')));\n });\n}\n\nexport function argmax2d(inputs) {\n const [height, width, depth] = inputs.shape;\n return tf.tidy(() => {\n const reshaped = inputs.reshape([height * width, depth]);\n const coords = reshaped.argMax(0);\n const yCoords = coords.div(tf.scalar(width, 'int32')).expandDims(1);\n const xCoords = mod(coords, width).expandDims(1);\n return tf.concat([yCoords, xCoords], 1);\n });\n}\n", "import * as buildParts from './buildParts';\nimport * as decodePose from './decodePose';\nimport * as vectors from './vectors';\n\nconst kLocalMaximumRadius = 1;\n\nfunction withinNmsRadiusOfCorrespondingPoint(poses, squaredNmsRadius, { x, y }, keypointId) {\n return poses.some(({ keypoints }) => {\n const correspondingKeypoint = keypoints[keypointId].position;\n return vectors.squaredDistance(y, x, correspondingKeypoint.y, correspondingKeypoint.x) <= squaredNmsRadius;\n });\n}\n\nfunction getInstanceScore(existingPoses, squaredNmsRadius, instanceKeypoints) {\n const notOverlappedKeypointScores = instanceKeypoints.reduce((result, { position, score }, keypointId) => {\n if (!withinNmsRadiusOfCorrespondingPoint(existingPoses, squaredNmsRadius, position, keypointId)) result += score;\n return result;\n }, 0.0);\n return notOverlappedKeypointScores / instanceKeypoints.length;\n}\n\nexport function decodeMultiplePoses(scoresBuffer, offsetsBuffer, displacementsFwdBuffer, displacementsBwdBuffer, config) {\n const poses: Array<{ keypoints: any, score: number }> = [];\n const queue = buildParts.buildPartWithScoreQueue(config.body.scoreThreshold, kLocalMaximumRadius, scoresBuffer);\n const squaredNmsRadius = config.body.nmsRadius ^ 2;\n // Generate at most maxDetections object instances per image in decreasing root part score order.\n while (poses.length < config.body.maxDetections && !queue.empty()) {\n // The top element in the queue is the next root candidate.\n const root = queue.dequeue();\n // Part-based non-maximum suppression: We reject a root candidate if it is within a disk of `nmsRadius` pixels from the corresponding part of a previously detected instance.\n const rootImageCoords = vectors.getImageCoords(root.part, config.body.outputStride, offsetsBuffer);\n if (withinNmsRadiusOfCorrespondingPoint(poses, squaredNmsRadius, rootImageCoords, root.part.id)) continue;\n // Else start a new detection instance at the position of the root.\n const keypoints = decodePose.decodePose(root, scoresBuffer, offsetsBuffer, config.body.outputStride, displacementsFwdBuffer, displacementsBwdBuffer);\n const score = getInstanceScore(poses, squaredNmsRadius, keypoints);\n if (score > config.body.scoreThreshold) poses.push({ keypoints, score });\n }\n return poses;\n}\n", "import * as kpt from './keypoints';\n\nexport function eitherPointDoesntMeetConfidence(a, b, minConfidence) {\n return (a < minConfidence || b < minConfidence);\n}\n\nexport function getAdjacentKeyPoints(keypoints, minConfidence) {\n return kpt.connectedPartIndices.reduce((result, [leftJoint, rightJoint]) => {\n if (eitherPointDoesntMeetConfidence(keypoints[leftJoint].score, keypoints[rightJoint].score, minConfidence)) {\n return result;\n }\n result.push([keypoints[leftJoint], keypoints[rightJoint]]);\n return result;\n }, []);\n}\n\nconst { NEGATIVE_INFINITY, POSITIVE_INFINITY } = Number;\nexport function getBoundingBox(keypoints) {\n return keypoints.reduce(({ maxX, maxY, minX, minY }, { position: { x, y } }) => ({\n maxX: Math.max(maxX, x),\n maxY: Math.max(maxY, y),\n minX: Math.min(minX, x),\n minY: Math.min(minY, y),\n }), {\n maxX: NEGATIVE_INFINITY,\n maxY: NEGATIVE_INFINITY,\n minX: POSITIVE_INFINITY,\n minY: POSITIVE_INFINITY,\n });\n}\n\nexport function getBoundingBoxPoints(keypoints) {\n const { minX, minY, maxX, maxY } = getBoundingBox(keypoints);\n return [{ x: minX, y: minY }, { x: maxX, y: minY }, { x: maxX, y: maxY }, { x: minX, y: maxY }];\n}\n\nexport async function toTensorBuffers3D(tensors) {\n return Promise.all(tensors.map((tensor) => tensor.buffer()));\n}\n\nexport function scalePose(pose, scaleY, scaleX) {\n return {\n score: pose.score,\n keypoints: pose.keypoints.map(({ score, part, position }) => ({\n score,\n part,\n position: { x: position.x * scaleX, y: position.y * scaleY },\n })),\n };\n}\n\nexport function resizeTo(image, [targetH, targetW]) {\n const input = image.squeeze(0);\n const resized = input.resizeBilinear([targetH, targetW]);\n input.dispose();\n return resized;\n}\n\nexport function scaleAndFlipPoses(poses, [height, width], [inputResolutionHeight, inputResolutionWidth]) {\n const scaledPoses = poses.map((pose) => scalePose(pose, height / inputResolutionHeight, width / inputResolutionWidth));\n return scaledPoses;\n}\n", "// https://storage.googleapis.com/tfjs-models/demos/handpose/index.html\n\nimport { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as handdetector from './handdetector';\nimport * as handpipeline from './handpipeline';\nimport * as anchors from './anchors';\n\nconst MESH_ANNOTATIONS = {\n thumb: [1, 2, 3, 4],\n indexFinger: [5, 6, 7, 8],\n middleFinger: [9, 10, 11, 12],\n ringFinger: [13, 14, 15, 16],\n pinky: [17, 18, 19, 20],\n palmBase: [0],\n};\n\nexport class HandPose {\n handPipeline: any;\n\n constructor(handPipeline) {\n this.handPipeline = handPipeline;\n }\n\n static getAnnotations() {\n return MESH_ANNOTATIONS;\n }\n\n async estimateHands(input, config) {\n const predictions = await this.handPipeline.estimateHands(input, config);\n if (!predictions) return [];\n const hands: Array<{ confidence: number, box: any, landmarks: any, annotations: any }> = [];\n for (const prediction of predictions) {\n const annotations = {};\n if (prediction.landmarks) {\n for (const key of Object.keys(MESH_ANNOTATIONS)) {\n annotations[key] = MESH_ANNOTATIONS[key].map((index) => prediction.landmarks[index]);\n }\n }\n const box = prediction.box ? [\n Math.max(0, prediction.box.topLeft[0]),\n Math.max(0, prediction.box.topLeft[1]),\n Math.min(input.shape[2], prediction.box.bottomRight[0]) - prediction.box.topLeft[0],\n Math.min(input.shape[1], prediction.box.bottomRight[1]) - prediction.box.topLeft[1],\n ] : 0;\n hands.push({ confidence: prediction.confidence, box, landmarks: prediction.landmarks, annotations });\n }\n return hands;\n }\n}\n\nexport async function load(config) {\n const [handDetectorModel, handPoseModel] = await Promise.all([\n config.hand.enabled ? tf.loadGraphModel(config.hand.detector.modelPath, { fromTFHub: config.hand.detector.modelPath.includes('tfhub.dev') }) : null,\n config.hand.landmarks ? tf.loadGraphModel(config.hand.skeleton.modelPath, { fromTFHub: config.hand.skeleton.modelPath.includes('tfhub.dev') }) : null,\n ]);\n const handDetector = new handdetector.HandDetector(handDetectorModel, config.hand.inputSize, anchors.anchors);\n const handPipeline = new handpipeline.HandPipeline(handDetector, handPoseModel, config.hand.inputSize);\n const handPose = new HandPose(handPipeline);\n if (config.hand.enabled) log(`load model: ${config.hand.detector.modelPath.match(/\\/(.*)\\./)[1]}`);\n if (config.hand.landmarks) log(`load model: ${config.hand.skeleton.modelPath.match(/\\/(.*)\\./)[1]}`);\n return handPose;\n}\n", "import * as tf from '../../dist/tfjs.esm.js';\nimport * as box from './box';\n\nexport class HandDetector {\n model: any;\n anchors: any;\n anchorsTensor: any;\n inputSizeTensor: any;\n doubleInputSizeTensor: any;\n\n constructor(model, inputSize, anchorsAnnotated) {\n this.model = model;\n this.anchors = anchorsAnnotated.map((anchor) => [anchor.x_center, anchor.y_center]);\n this.anchorsTensor = tf.tensor2d(this.anchors);\n this.inputSizeTensor = tf.tensor1d([inputSize, inputSize]);\n this.doubleInputSizeTensor = tf.tensor1d([inputSize * 2, inputSize * 2]);\n }\n\n normalizeBoxes(boxes) {\n return tf.tidy(() => {\n const boxOffsets = tf.slice(boxes, [0, 0], [-1, 2]);\n const boxSizes = tf.slice(boxes, [0, 2], [-1, 2]);\n const boxCenterPoints = tf.add(tf.div(boxOffsets, this.inputSizeTensor), this.anchorsTensor);\n const halfBoxSizes = tf.div(boxSizes, this.doubleInputSizeTensor);\n const startPoints = tf.mul(tf.sub(boxCenterPoints, halfBoxSizes), this.inputSizeTensor);\n const endPoints = tf.mul(tf.add(boxCenterPoints, halfBoxSizes), this.inputSizeTensor);\n return tf.concat2d([startPoints, endPoints], 1);\n });\n }\n\n normalizeLandmarks(rawPalmLandmarks, index) {\n return tf.tidy(() => {\n const landmarks = tf.add(tf.div(rawPalmLandmarks.reshape([-1, 7, 2]), this.inputSizeTensor), this.anchors[index]);\n return tf.mul(landmarks, this.inputSizeTensor);\n });\n }\n\n async getBoxes(input, config) {\n const batched = this.model.predict(input);\n const predictions = batched.squeeze();\n batched.dispose();\n const scoresT = tf.tidy(() => tf.sigmoid(tf.slice(predictions, [0, 0], [-1, 1])).squeeze());\n const scores = scoresT.dataSync();\n const rawBoxes = tf.slice(predictions, [0, 1], [-1, 4]);\n const boxes = this.normalizeBoxes(rawBoxes);\n rawBoxes.dispose();\n const filteredT = await tf.image.nonMaxSuppressionAsync(boxes, scores, config.hand.maxHands, config.hand.iouThreshold, config.hand.scoreThreshold);\n const filtered = filteredT.arraySync();\n\n scoresT.dispose();\n filteredT.dispose();\n const hands: Array<{ box: any, palmLandmarks: any, confidence: number }> = [];\n for (const index of filtered) {\n if (scores[index] >= config.hand.minConfidence) {\n const matchingBox = tf.slice(boxes, [index, 0], [1, -1]);\n const rawPalmLandmarks = tf.slice(predictions, [index, 5], [1, 14]);\n const palmLandmarks = tf.tidy(() => this.normalizeLandmarks(rawPalmLandmarks, index).reshape([-1, 2]));\n rawPalmLandmarks.dispose();\n hands.push({ box: matchingBox, palmLandmarks, confidence: scores[index] });\n }\n }\n predictions.dispose();\n boxes.dispose();\n return hands;\n }\n\n async estimateHandBounds(input, config) {\n const inputHeight = input.shape[1];\n const inputWidth = input.shape[2];\n const image = tf.tidy(() => input.resizeBilinear([config.hand.inputSize, config.hand.inputSize]).div(127.5).sub(1));\n const predictions = await this.getBoxes(image, config);\n image.dispose();\n const hands: Array<{}> = [];\n if (!predictions || predictions.length === 0) return hands;\n for (const prediction of predictions) {\n const boxes = prediction.box.dataSync();\n const startPoint = boxes.slice(0, 2);\n const endPoint = boxes.slice(2, 4);\n const palmLandmarks = prediction.palmLandmarks.arraySync();\n prediction.box.dispose();\n prediction.palmLandmarks.dispose();\n hands.push(box.scaleBoxCoordinates({ startPoint, endPoint, palmLandmarks, confidence: prediction.confidence }, [inputWidth / config.hand.inputSize, inputHeight / config.hand.inputSize]));\n }\n return hands;\n }\n}\n", "import * as tf from '../../dist/tfjs.esm.js';\n\nexport function getBoxSize(box) {\n return [\n Math.abs(box.endPoint[0] - box.startPoint[0]),\n Math.abs(box.endPoint[1] - box.startPoint[1]),\n ];\n}\n\nexport function getBoxCenter(box) {\n return [\n box.startPoint[0] + (box.endPoint[0] - box.startPoint[0]) / 2,\n box.startPoint[1] + (box.endPoint[1] - box.startPoint[1]) / 2,\n ];\n}\n\nexport function cutBoxFromImageAndResize(box, image, cropSize) {\n const h = image.shape[1];\n const w = image.shape[2];\n const boxes = [[\n box.startPoint[1] / h,\n box.startPoint[0] / w,\n box.endPoint[1] / h,\n box.endPoint[0] / w,\n ]];\n return tf.image.cropAndResize(image, boxes, [0], cropSize);\n}\n\nexport function scaleBoxCoordinates(box, factor) {\n const startPoint = [box.startPoint[0] * factor[0], box.startPoint[1] * factor[1]];\n const endPoint = [box.endPoint[0] * factor[0], box.endPoint[1] * factor[1]];\n const palmLandmarks = box.palmLandmarks.map((coord) => {\n const scaledCoord = [coord[0] * factor[0], coord[1] * factor[1]];\n return scaledCoord;\n });\n return { startPoint, endPoint, palmLandmarks, confidence: box.confidence };\n}\n\nexport function enlargeBox(box, factor = 1.5) {\n const center = getBoxCenter(box);\n const size = getBoxSize(box);\n const newHalfSize = [factor * size[0] / 2, factor * size[1] / 2];\n const startPoint = [center[0] - newHalfSize[0], center[1] - newHalfSize[1]];\n const endPoint = [center[0] + newHalfSize[0], center[1] + newHalfSize[1]];\n return { startPoint, endPoint, palmLandmarks: box.palmLandmarks };\n}\n\nexport function squarifyBox(box) {\n const centers = getBoxCenter(box);\n const size = getBoxSize(box);\n const maxEdge = Math.max(...size);\n const halfSize = maxEdge / 2;\n const startPoint = [centers[0] - halfSize, centers[1] - halfSize];\n const endPoint = [centers[0] + halfSize, centers[1] + halfSize];\n return { startPoint, endPoint, palmLandmarks: box.palmLandmarks };\n}\n\nexport function shiftBox(box, shiftFactor) {\n const boxSize = [\n box.endPoint[0] - box.startPoint[0],\n box.endPoint[1] - box.startPoint[1],\n ];\n const shiftVector = [boxSize[0] * shiftFactor[0], boxSize[1] * shiftFactor[1]];\n const startPoint = [box.startPoint[0] + shiftVector[0], box.startPoint[1] + shiftVector[1]];\n const endPoint = [box.endPoint[0] + shiftVector[0], box.endPoint[1] + shiftVector[1]];\n return { startPoint, endPoint, palmLandmarks: box.palmLandmarks };\n}\n", "import * as tf from '../../dist/tfjs.esm.js';\nimport * as box from './box';\nimport * as util from './util';\n\n// const PALM_BOX_SHIFT_VECTOR = [0, -0.4];\nconst PALM_BOX_ENLARGE_FACTOR = 5; // default 3\n// const HAND_BOX_SHIFT_VECTOR = [0, -0.1]; // move detected hand box by x,y to ease landmark detection\nconst HAND_BOX_ENLARGE_FACTOR = 1.65; // default 1.65\nconst PALM_LANDMARK_IDS = [0, 5, 9, 13, 17, 1, 2];\nconst PALM_LANDMARKS_INDEX_OF_PALM_BASE = 0;\nconst PALM_LANDMARKS_INDEX_OF_MIDDLE_FINGER_BASE = 2;\n\nexport class HandPipeline {\n handDetector: any;\n landmarkDetector: any;\n inputSize: number;\n storedBoxes: any;\n skipped: number;\n detectedHands: number;\n\n constructor(handDetector, landmarkDetector, inputSize) {\n this.handDetector = handDetector;\n this.landmarkDetector = landmarkDetector;\n this.inputSize = inputSize;\n this.storedBoxes = [];\n this.skipped = 0;\n this.detectedHands = 0;\n }\n\n getBoxForPalmLandmarks(palmLandmarks, rotationMatrix) {\n const rotatedPalmLandmarks = palmLandmarks.map((coord) => util.rotatePoint([...coord, 1], rotationMatrix));\n const boxAroundPalm = this.calculateLandmarksBoundingBox(rotatedPalmLandmarks);\n // return box.enlargeBox(box.squarifyBox(box.shiftBox(boxAroundPalm, PALM_BOX_SHIFT_VECTOR)), PALM_BOX_ENLARGE_FACTOR);\n return box.enlargeBox(box.squarifyBox(boxAroundPalm), PALM_BOX_ENLARGE_FACTOR);\n }\n\n getBoxForHandLandmarks(landmarks) {\n const boundingBox = this.calculateLandmarksBoundingBox(landmarks);\n // const boxAroundHand = box.enlargeBox(box.squarifyBox(box.shiftBox(boundingBox, HAND_BOX_SHIFT_VECTOR)), HAND_BOX_ENLARGE_FACTOR);\n const boxAroundHand = box.enlargeBox(box.squarifyBox(boundingBox), HAND_BOX_ENLARGE_FACTOR);\n boxAroundHand.palmLandmarks = [];\n for (let i = 0; i < PALM_LANDMARK_IDS.length; i++) {\n boxAroundHand.palmLandmarks.push(landmarks[PALM_LANDMARK_IDS[i]].slice(0, 2));\n }\n return boxAroundHand;\n }\n\n transformRawCoords(rawCoords, box2, angle, rotationMatrix) {\n const boxSize = box.getBoxSize(box2);\n const scaleFactor = [boxSize[0] / this.inputSize, boxSize[1] / this.inputSize, (boxSize[0] + boxSize[1]) / this.inputSize / 2];\n const coordsScaled = rawCoords.map((coord) => [\n scaleFactor[0] * (coord[0] - this.inputSize / 2),\n scaleFactor[1] * (coord[1] - this.inputSize / 2),\n scaleFactor[2] * coord[2],\n ]);\n const coordsRotationMatrix = util.buildRotationMatrix(angle, [0, 0]);\n const coordsRotated = coordsScaled.map((coord) => {\n const rotated = util.rotatePoint(coord, coordsRotationMatrix);\n return [...rotated, coord[2]];\n });\n const inverseRotationMatrix = util.invertTransformMatrix(rotationMatrix);\n const boxCenter = [...box.getBoxCenter(box2), 1];\n const originalBoxCenter = [\n util.dot(boxCenter, inverseRotationMatrix[0]),\n util.dot(boxCenter, inverseRotationMatrix[1]),\n ];\n return coordsRotated.map((coord) => [\n coord[0] + originalBoxCenter[0],\n coord[1] + originalBoxCenter[1],\n coord[2],\n ]);\n }\n\n async estimateHands(image, config) {\n let useFreshBox = false;\n\n // run new detector every skipFrames unless we only want box to start with\n let boxes;\n if ((this.skipped === 0) || (this.skipped > config.hand.skipFrames) || !config.hand.landmarks || !config.videoOptimized) {\n boxes = await this.handDetector.estimateHandBounds(image, config);\n this.skipped = 0;\n }\n if (config.videoOptimized) this.skipped++;\n\n // if detector result count doesn't match current working set, use it to reset current working set\n if (boxes && (boxes.length > 0) && ((boxes.length !== this.detectedHands) && (this.detectedHands !== config.hand.maxHands) || !config.hand.landmarks)) {\n this.detectedHands = 0;\n this.storedBoxes = [...boxes];\n // for (const possible of boxes) this.storedBoxes.push(possible);\n if (this.storedBoxes.length > 0) useFreshBox = true;\n }\n const hands: Array<{}> = [];\n // log('hand', `skipped: ${this.skipped} max: ${config.hand.maxHands} detected: ${this.detectedHands} stored: ${this.storedBoxes.length} new: ${boxes?.length}`);\n\n // go through working set of boxes\n for (let i = 0; i < this.storedBoxes.length; i++) {\n const currentBox = this.storedBoxes[i];\n if (!currentBox) continue;\n if (config.hand.landmarks) {\n const angle = config.hand.rotation ? util.computeRotation(currentBox.palmLandmarks[PALM_LANDMARKS_INDEX_OF_PALM_BASE], currentBox.palmLandmarks[PALM_LANDMARKS_INDEX_OF_MIDDLE_FINGER_BASE]) : 0;\n const palmCenter = box.getBoxCenter(currentBox);\n const palmCenterNormalized = [palmCenter[0] / image.shape[2], palmCenter[1] / image.shape[1]];\n const rotatedImage = config.hand.rotation ? tf.image.rotateWithOffset(image, angle, 0, palmCenterNormalized) : image.clone();\n const rotationMatrix = util.buildRotationMatrix(-angle, palmCenter);\n const newBox = useFreshBox ? this.getBoxForPalmLandmarks(currentBox.palmLandmarks, rotationMatrix) : currentBox;\n const croppedInput = box.cutBoxFromImageAndResize(newBox, rotatedImage, [this.inputSize, this.inputSize]);\n const handImage = croppedInput.div(255);\n croppedInput.dispose();\n rotatedImage.dispose();\n const [confidenceT, keypoints] = await this.landmarkDetector.predict(handImage);\n handImage.dispose();\n const confidence = confidenceT.dataSync()[0];\n confidenceT.dispose();\n if (confidence >= config.hand.minConfidence) {\n const keypointsReshaped = tf.reshape(keypoints, [-1, 3]);\n const rawCoords = keypointsReshaped.arraySync();\n keypoints.dispose();\n keypointsReshaped.dispose();\n const coords = this.transformRawCoords(rawCoords, newBox, angle, rotationMatrix);\n const nextBoundingBox = this.getBoxForHandLandmarks(coords);\n this.storedBoxes[i] = nextBoundingBox;\n const result = {\n landmarks: coords,\n confidence,\n box: { topLeft: nextBoundingBox.startPoint, bottomRight: nextBoundingBox.endPoint },\n };\n hands.push(result);\n } else {\n this.storedBoxes[i] = null;\n }\n keypoints.dispose();\n } else {\n // const enlarged = box.enlargeBox(box.squarifyBox(box.shiftBox(currentBox, HAND_BOX_SHIFT_VECTOR)), HAND_BOX_ENLARGE_FACTOR);\n const enlarged = box.enlargeBox(box.squarifyBox(currentBox), HAND_BOX_ENLARGE_FACTOR);\n const result = {\n confidence: currentBox.confidence,\n box: { topLeft: enlarged.startPoint, bottomRight: enlarged.endPoint },\n };\n hands.push(result);\n }\n }\n this.storedBoxes = this.storedBoxes.filter((a) => a !== null);\n this.detectedHands = hands.length;\n return hands;\n }\n\n // eslint-disable-next-line class-methods-use-this\n calculateLandmarksBoundingBox(landmarks) {\n const xs = landmarks.map((d) => d[0]);\n const ys = landmarks.map((d) => d[1]);\n const startPoint = [Math.min(...xs), Math.min(...ys)];\n const endPoint = [Math.max(...xs), Math.max(...ys)];\n return { startPoint, endPoint };\n }\n}\n", "export function normalizeRadians(angle) {\n return angle - 2 * Math.PI * Math.floor((angle + Math.PI) / (2 * Math.PI));\n}\n\nexport function computeRotation(point1, point2) {\n const radians = Math.PI / 2 - Math.atan2(-(point2[1] - point1[1]), point2[0] - point1[0]);\n return normalizeRadians(radians);\n}\n\nexport const buildTranslationMatrix = (x, y) => [[1, 0, x], [0, 1, y], [0, 0, 1]];\n\nexport function dot(v1, v2) {\n let product = 0;\n for (let i = 0; i < v1.length; i++) {\n product += v1[i] * v2[i];\n }\n return product;\n}\n\nexport function getColumnFrom2DArr(arr, columnIndex) {\n const column: Array = [];\n for (let i = 0; i < arr.length; i++) {\n column.push(arr[i][columnIndex]);\n }\n return column;\n}\n\nexport function multiplyTransformMatrices(mat1, mat2) {\n const product: Array = [];\n const size = mat1.length;\n for (let row = 0; row < size; row++) {\n product.push([]);\n for (let col = 0; col < size; col++) {\n product[row].push(dot(mat1[row], getColumnFrom2DArr(mat2, col)));\n }\n }\n return product;\n}\n\nexport function buildRotationMatrix(rotation, center) {\n const cosA = Math.cos(rotation);\n const sinA = Math.sin(rotation);\n const rotationMatrix = [[cosA, -sinA, 0], [sinA, cosA, 0], [0, 0, 1]];\n const translationMatrix = buildTranslationMatrix(center[0], center[1]);\n const translationTimesRotation = multiplyTransformMatrices(translationMatrix, rotationMatrix);\n const negativeTranslationMatrix = buildTranslationMatrix(-center[0], -center[1]);\n return multiplyTransformMatrices(translationTimesRotation, negativeTranslationMatrix);\n}\n\nexport function invertTransformMatrix(matrix) {\n const rotationComponent = [[matrix[0][0], matrix[1][0]], [matrix[0][1], matrix[1][1]]];\n const translationComponent = [matrix[0][2], matrix[1][2]];\n const invertedTranslation = [\n -dot(rotationComponent[0], translationComponent),\n -dot(rotationComponent[1], translationComponent),\n ];\n return [\n rotationComponent[0].concat(invertedTranslation[0]),\n rotationComponent[1].concat(invertedTranslation[1]),\n [0, 0, 1],\n ];\n}\n\nexport function rotatePoint(homogeneousCoordinate, rotationMatrix) {\n return [\n dot(homogeneousCoordinate, rotationMatrix[0]),\n dot(homogeneousCoordinate, rotationMatrix[1]),\n ];\n}\n", "export const anchors = [\n {\n w: 1,\n h: 1,\n x_center: 0.015625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.015625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.046875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.046875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.078125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.078125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.109375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.109375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.140625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.140625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.171875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.171875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.203125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.203125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.234375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.234375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.265625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.265625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.296875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.296875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.328125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.328125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.359375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.359375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.390625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.390625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.421875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.421875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.453125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.453125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.484375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.484375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.515625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.515625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.546875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.546875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.578125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.578125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.609375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.609375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.640625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.640625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.671875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.671875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.703125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.703125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.734375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.734375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.765625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.765625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.796875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.796875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.828125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.828125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.859375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.859375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.890625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.890625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.921875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.921875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.953125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.953125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.984375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.984375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.015625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.015625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.046875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.046875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.078125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.078125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.109375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.109375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.140625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.140625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.171875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.171875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.203125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.203125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.234375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.234375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.265625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.265625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.296875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.296875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.328125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.328125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.359375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.359375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.390625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.390625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.421875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.421875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.453125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.453125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.484375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.484375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.515625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.515625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.546875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.546875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.578125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.578125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.609375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.609375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.640625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.640625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.671875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.671875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.703125,\n y_center: 0.046875,\n },\n {\n w: 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{\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.4375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.4375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.4375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.4375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.4375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.4375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.4375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.4375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.4375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.4375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.9375,\n },\n];\n", "export const body = (res) => {\n if (!res) return [];\n const gestures: Array<{ body: number, gesture: string }> = [];\n for (let i = 0; i < res.length; i++) {\n // raising hands\n const leftWrist = res[i].keypoints.find((a) => (a.part === 'leftWrist'));\n const rightWrist = res[i].keypoints.find((a) => (a.part === 'rightWrist'));\n const nose = res[i].keypoints.find((a) => (a.part === 'nose'));\n if (nose && leftWrist && rightWrist && (leftWrist.position.y < nose.position.y) && (rightWrist.position.y < nose.position.y)) gestures.push({ body: i, gesture: 'i give up' });\n else if (nose && leftWrist && (leftWrist.position.y < nose.position.y)) gestures.push({ body: i, gesture: 'raise left hand' });\n else if (nose && rightWrist && (rightWrist.position.y < nose.position.y)) gestures.push({ body: i, gesture: 'raise right hand' });\n\n // leaning\n const leftShoulder = res[i].keypoints.find((a) => (a.part === 'leftShoulder'));\n const rightShoulder = res[i].keypoints.find((a) => (a.part === 'rightShoulder'));\n if (leftShoulder && rightShoulder) gestures.push({ body: i, gesture: `leaning ${(leftShoulder.position.y > rightShoulder.position.y) ? 'left' : 'right'}` });\n }\n return gestures;\n};\n\nexport const face = (res) => {\n if (!res) return [];\n const gestures: Array<{ face: number, gesture: string }> = [];\n for (let i = 0; i < res.length; i++) {\n if (res[i].mesh && res[i].mesh.length > 0) {\n const eyeFacing = res[i].mesh[35][2] - res[i].mesh[263][2];\n if (Math.abs(eyeFacing) < 10) gestures.push({ face: i, gesture: 'facing camera' });\n else gestures.push({ face: i, gesture: `facing ${eyeFacing < 0 ? 'right' : 'left'}` });\n const openLeft = Math.abs(res[i].mesh[374][1] - res[i].mesh[386][1]) / Math.abs(res[i].mesh[443][1] - res[i].mesh[450][1]); // center of eye inner lid y coord div center of wider eye border y coord\n if (openLeft < 0.2) gestures.push({ face: i, gesture: 'blink left eye' });\n const openRight = Math.abs(res[i].mesh[145][1] - res[i].mesh[159][1]) / Math.abs(res[i].mesh[223][1] - res[i].mesh[230][1]); // center of eye inner lid y coord div center of wider eye border y coord\n if (openRight < 0.2) gestures.push({ face: i, gesture: 'blink right eye' });\n const mouthOpen = Math.min(100, 500 * Math.abs(res[i].mesh[13][1] - res[i].mesh[14][1]) / Math.abs(res[i].mesh[10][1] - res[i].mesh[152][1]));\n if (mouthOpen > 10) gestures.push({ face: i, gesture: `mouth ${Math.trunc(mouthOpen)}% open` });\n const chinDepth = res[i].mesh[152][2];\n if (Math.abs(chinDepth) > 10) gestures.push({ face: i, gesture: `head ${chinDepth < 0 ? 'up' : 'down'}` });\n }\n }\n return gestures;\n};\n\nexport const iris = (res) => {\n if (!res) return [];\n const gestures: Array<{ iris: number, gesture: string }> = [];\n for (let i = 0; i < res.length; i++) {\n if (!res[i].annotations || !res[i].annotations.leftEyeIris || !res[i].annotations.rightEyeIris) continue;\n const sizeXLeft = res[i].annotations.leftEyeIris[3][0] - res[i].annotations.leftEyeIris[1][0];\n const sizeYLeft = res[i].annotations.leftEyeIris[4][1] - res[i].annotations.leftEyeIris[2][1];\n const areaLeft = Math.abs(sizeXLeft * sizeYLeft);\n\n const sizeXRight = res[i].annotations.rightEyeIris[3][0] - res[i].annotations.rightEyeIris[1][0];\n const sizeYRight = res[i].annotations.rightEyeIris[4][1] - res[i].annotations.rightEyeIris[2][1];\n const areaRight = Math.abs(sizeXRight * sizeYRight);\n\n const difference = Math.abs(areaLeft - areaRight) / Math.max(areaLeft, areaRight);\n if (difference < 0.25) gestures.push({ iris: i, gesture: 'looking at camera' });\n }\n return gestures;\n};\n\nexport const hand = (res) => {\n if (!res) return [];\n const gestures: Array<{ hand: number, gesture: string }> = [];\n for (let i = 0; i < res.length; i++) {\n const fingers: Array<{ name: string, position: number }> = [];\n for (const [finger, pos] of Object.entries(res[i]['annotations'])) {\n // @ts-ignore\n if (finger !== 'palmBase') fingers.push({ name: finger.toLowerCase(), position: pos[0] }); // get tip of each finger\n }\n if (fingers && fingers.length > 0) {\n const closest = fingers.reduce((best, a) => (best.position[2] < a.position[2] ? best : a));\n const highest = fingers.reduce((best, a) => (best.position[1] < a.position[1] ? best : a));\n gestures.push({ hand: i, gesture: `${closest.name} forward ${highest.name} up` });\n }\n }\n return gestures;\n};\n", "// @ts-nocheck\n\nimport { log } from './log';\nimport * as tf from '../dist/tfjs.esm.js';\nimport * as fxImage from './imagefx';\n\n// internal temp canvases\nlet inCanvas = null;\nlet outCanvas = null;\n// instance of fximage\nlet fx = null;\n\n// process input image and return tensor\n// input can be tensor, imagedata, htmlimageelement, htmlvideoelement\n// input is resized and run through imagefx filter\nexport function process(input, config) {\n let tensor;\n if (input instanceof tf.Tensor) {\n tensor = tf.clone(input);\n } else {\n const originalWidth = input.naturalWidth || input.videoWidth || input.width || (input.shape && (input.shape[1] > 0));\n const originalHeight = input.naturalHeight || input.videoHeight || input.height || (input.shape && (input.shape[2] > 0));\n let targetWidth = originalWidth;\n let targetHeight = originalHeight;\n if (config.filter.width > 0) targetWidth = config.filter.width;\n else if (config.filter.height > 0) targetWidth = originalWidth * (config.filter.height / originalHeight);\n if (config.filter.height > 0) targetHeight = config.filter.height;\n else if (config.filter.width > 0) targetHeight = originalHeight * (config.filter.width / originalWidth);\n if (!targetWidth || !targetHeight) {\n log('Human: invalid input', input);\n return null;\n }\n if (!inCanvas || (inCanvas.width !== targetWidth) || (inCanvas.height !== targetHeight)) {\n inCanvas = (typeof OffscreenCanvas !== 'undefined') ? new OffscreenCanvas(targetWidth, targetHeight) : document.createElement('canvas');\n if (inCanvas.width !== targetWidth) inCanvas.width = targetWidth;\n if (inCanvas.height !== targetHeight) inCanvas.height = targetHeight;\n }\n const ctx = inCanvas.getContext('2d');\n if (input instanceof ImageData) ctx.putImageData(input, 0, 0);\n else ctx.drawImage(input, 0, 0, originalWidth, originalHeight, 0, 0, inCanvas.width, inCanvas.height);\n if (config.filter.enabled) {\n if (!fx || !outCanvas || (inCanvas.width !== outCanvas.width) || (inCanvas.height !== outCanvas.height)) {\n outCanvas = (typeof OffscreenCanvas !== 'undefined') ? new OffscreenCanvas(inCanvas.width, inCanvas.height) : document.createElement('canvas');\n if (outCanvas.width !== inCanvas.width) outCanvas.width = inCanvas.width;\n if (outCanvas.height !== inCanvas.height) outCanvas.height = inCanvas.height;\n log('created FX filter');\n fx = tf.ENV.flags.IS_BROWSER ? new fxImage.GLImageFilter({ canvas: outCanvas }) : null; // && (typeof document !== 'undefined')\n }\n if (!fx) return inCanvas;\n fx.reset();\n fx.addFilter('brightness', config.filter.brightness); // must have at least one filter enabled\n if (config.filter.contrast !== 0) fx.addFilter('contrast', config.filter.contrast);\n if (config.filter.sharpness !== 0) fx.addFilter('sharpen', config.filter.sharpness);\n if (config.filter.blur !== 0) fx.addFilter('blur', config.filter.blur);\n if (config.filter.saturation !== 0) fx.addFilter('saturation', config.filter.saturation);\n if (config.filter.hue !== 0) fx.addFilter('hue', config.filter.hue);\n if (config.filter.negative) fx.addFilter('negative');\n if (config.filter.sepia) fx.addFilter('sepia');\n if (config.filter.vintage) fx.addFilter('brownie');\n if (config.filter.sepia) fx.addFilter('sepia');\n if (config.filter.kodachrome) fx.addFilter('kodachrome');\n if (config.filter.technicolor) fx.addFilter('technicolor');\n if (config.filter.polaroid) fx.addFilter('polaroid');\n if (config.filter.pixelate !== 0) fx.addFilter('pixelate', config.filter.pixelate);\n fx.apply(inCanvas);\n // read pixel data\n /*\n const gl = outCanvas.getContext('webgl');\n if (gl) {\n const glBuffer = new Uint8Array(outCanvas.width * outCanvas.height * 4);\n const pixBuffer = new Uint8Array(outCanvas.width * outCanvas.height * 3);\n gl.readPixels(0, 0, outCanvas.width, outCanvas.height, gl.RGBA, gl.UNSIGNED_BYTE, glBuffer);\n // gl returns rbga while we only need rgb, so discarding alpha channel\n // gl returns starting point as lower left, so need to invert vertical\n let i = 0;\n for (let y = outCanvas.height - 1; y >= 0; y--) {\n for (let x = 0; x < outCanvas.width; x++) {\n const index = (x + y * outCanvas.width) * 4;\n pixBuffer[i++] = glBuffer[index + 0];\n pixBuffer[i++] = glBuffer[index + 1];\n pixBuffer[i++] = glBuffer[index + 2];\n }\n }\n outCanvas.data = pixBuffer;\n }\n */\n } else {\n outCanvas = inCanvas;\n if (fx) fx = null;\n }\n let pixels;\n if (outCanvas.data) {\n const shape = [outCanvas.height, outCanvas.width, 3];\n pixels = tf.tensor3d(outCanvas.data, shape, 'int32');\n } else if ((config.backend === 'webgl') || (outCanvas instanceof ImageData)) {\n // tf kernel-optimized method to get imagedata, also if input is imagedata, just use it\n pixels = tf.browser.fromPixels(outCanvas);\n } else {\n // cpu and wasm kernel does not implement efficient fromPixels method nor we can use canvas as-is, so we do a silly one more canvas\n const tempCanvas = (typeof OffscreenCanvas !== 'undefined') ? new OffscreenCanvas(targetWidth, targetHeight) : document.createElement('canvas');\n tempCanvas.width = targetWidth;\n tempCanvas.height = targetHeight;\n const tempCtx = tempCanvas.getContext('2d');\n tempCtx?.drawImage(outCanvas, 0, 0);\n const data = tempCtx?.getImageData(0, 0, targetWidth, targetHeight);\n pixels = tf.browser.fromPixels(data);\n }\n const casted = pixels.toFloat();\n tensor = casted.expandDims(0);\n pixels.dispose();\n casted.dispose();\n }\n return { tensor, canvas: config.filter.return ? outCanvas : null };\n}\n", "/*\nWebGLImageFilter - MIT Licensed\n2013, Dominic Szablewski - phoboslab.org\n\n*/\n\nfunction GLProgram(gl, vertexSource, fragmentSource) {\n const _collect = function (source, prefix, collection) {\n const r = new RegExp('\\\\b' + prefix + ' \\\\w+ (\\\\w+)', 'ig');\n source.replace(r, (match, name) => {\n collection[name] = 0;\n return match;\n });\n };\n\n const _compile = function (source, type) {\n const shader = gl.createShader(type);\n gl.shaderSource(shader, source);\n gl.compileShader(shader);\n if (!gl.getShaderParameter(shader, gl.COMPILE_STATUS)) {\n // @ts-ignore\n throw new Error('Filter: GL compile failed', gl.getShaderInfoLog(shader));\n }\n return shader;\n };\n\n this.uniform = {};\n this.attribute = {};\n const _vsh = _compile(vertexSource, gl.VERTEX_SHADER);\n const _fsh = _compile(fragmentSource, gl.FRAGMENT_SHADER);\n this.id = gl.createProgram();\n gl.attachShader(this.id, _vsh);\n gl.attachShader(this.id, _fsh);\n gl.linkProgram(this.id);\n\n if (!gl.getProgramParameter(this.id, gl.LINK_STATUS)) {\n // @ts-ignore\n throw new Error('Filter: GL link failed', gl.getProgramInfoLog(this.id));\n }\n\n gl.useProgram(this.id);\n // Collect attributes\n _collect(vertexSource, 'attribute', this.attribute);\n for (const a in this.attribute) this.attribute[a] = gl.getAttribLocation(this.id, a);\n // Collect uniforms\n _collect(vertexSource, 'uniform', this.uniform);\n _collect(fragmentSource, 'uniform', this.uniform);\n for (const u in this.uniform) this.uniform[u] = gl.getUniformLocation(this.id, u);\n}\n\n// export const GLImageFilter = function (params) {\nexport function GLImageFilter(params) {\n if (!params) params = { };\n let _drawCount = 0;\n let _sourceTexture = null;\n let _lastInChain = false;\n let _currentFramebufferIndex = -1;\n let _tempFramebuffers = [null, null];\n let _filterChain = [];\n let _width = -1;\n let _height = -1;\n let _vertexBuffer = null;\n let _currentProgram = null;\n const _filter = {};\n const _canvas = params.canvas || document.createElement('canvas');\n // key is the shader program source, value is the compiled program\n const _shaderProgramCache = { };\n const DRAW = { INTERMEDIATE: 1 };\n const gl = _canvas.getContext('webgl');\n if (!gl) throw new Error('Filter: getContext() failed');\n\n this.addFilter = function (name) {\n // eslint-disable-next-line prefer-rest-params\n const args = Array.prototype.slice.call(arguments, 1);\n const filter = _filter[name];\n _filterChain.push({ func: filter, args });\n };\n\n this.reset = function () {\n _filterChain = [];\n };\n\n const _resize = function (width, height) {\n // Same width/height? Nothing to do here\n if (width === _width && height === _height) { return; }\n _canvas.width = width;\n _width = width;\n _canvas.height = height;\n _height = height;\n // Create the context if we don't have it yet\n if (!_vertexBuffer) {\n // Create the vertex buffer for the two triangles [x, y, u, v] * 6\n const vertices = new Float32Array([\n -1, -1, 0, 1, 1, -1, 1, 1, -1, 1, 0, 0,\n -1, 1, 0, 0, 1, -1, 1, 1, 1, 1, 1, 0,\n ]);\n // eslint-disable-next-line no-unused-expressions\n (_vertexBuffer = gl.createBuffer(), gl.bindBuffer(gl.ARRAY_BUFFER, _vertexBuffer));\n gl.bufferData(gl.ARRAY_BUFFER, vertices, gl.STATIC_DRAW);\n gl.pixelStorei(gl.UNPACK_PREMULTIPLY_ALPHA_WEBGL, true);\n }\n gl.viewport(0, 0, _width, _height);\n // Delete old temp framebuffers\n _tempFramebuffers = [null, null];\n };\n\n const _createFramebufferTexture = function (width, height) {\n const fbo = gl.createFramebuffer();\n gl.bindFramebuffer(gl.FRAMEBUFFER, fbo);\n const renderbuffer = gl.createRenderbuffer();\n gl.bindRenderbuffer(gl.RENDERBUFFER, renderbuffer);\n const texture = gl.createTexture();\n gl.bindTexture(gl.TEXTURE_2D, texture);\n gl.texImage2D(gl.TEXTURE_2D, 0, gl.RGBA, width, height, 0, gl.RGBA, gl.UNSIGNED_BYTE, null);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MAG_FILTER, gl.LINEAR);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MIN_FILTER, gl.LINEAR);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_S, gl.CLAMP_TO_EDGE);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_T, gl.CLAMP_TO_EDGE);\n gl.framebufferTexture2D(gl.FRAMEBUFFER, gl.COLOR_ATTACHMENT0, gl.TEXTURE_2D, texture, 0);\n gl.bindTexture(gl.TEXTURE_2D, null);\n gl.bindFramebuffer(gl.FRAMEBUFFER, null);\n return { fbo, texture };\n };\n\n const _getTempFramebuffer = function (index) {\n // @ts-ignore\n _tempFramebuffers[index] = _tempFramebuffers[index] || _createFramebufferTexture(_width, _height);\n return _tempFramebuffers[index];\n };\n\n const _draw = function (flags = null) {\n let source = null;\n let target = null;\n let flipY = false;\n // Set up the source\n if (_drawCount === 0) {\n // First draw call - use the source texture\n source = _sourceTexture;\n } else {\n // All following draw calls use the temp buffer last drawn to\n // @ts-ignore\n source = _getTempFramebuffer(_currentFramebufferIndex)?.texture;\n }\n _drawCount++;\n // Set up the target\n if (_lastInChain && !(flags & DRAW.INTERMEDIATE)) {\n // Last filter in our chain - draw directly to the WebGL Canvas. We may\n // also have to flip the image vertically now\n target = null;\n flipY = _drawCount % 2 === 0;\n } else {\n // Intermediate draw call - get a temp buffer to draw to\n _currentFramebufferIndex = (_currentFramebufferIndex + 1) % 2;\n // @ts-ignore\n target = _getTempFramebuffer(_currentFramebufferIndex)?.fbo;\n }\n // Bind the source and target and draw the two triangles\n gl.bindTexture(gl.TEXTURE_2D, source);\n gl.bindFramebuffer(gl.FRAMEBUFFER, target);\n gl.uniform1f(_currentProgram.uniform.flipY, (flipY ? -1 : 1));\n gl.drawArrays(gl.TRIANGLES, 0, 6);\n };\n\n this.apply = function (image) {\n _resize(image.width, image.height);\n _drawCount = 0;\n // Create the texture for the input image if we haven't yet\n if (!_sourceTexture) _sourceTexture = gl.createTexture();\n gl.bindTexture(gl.TEXTURE_2D, _sourceTexture);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_S, gl.CLAMP_TO_EDGE);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_T, gl.CLAMP_TO_EDGE);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MIN_FILTER, gl.NEAREST);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MAG_FILTER, gl.NEAREST);\n gl.texImage2D(gl.TEXTURE_2D, 0, gl.RGBA, gl.RGBA, gl.UNSIGNED_BYTE, image);\n // No filters? Just draw\n if (_filterChain.length === 0) {\n // const program = _compileShader(SHADER.FRAGMENT_IDENTITY);\n _draw();\n return _canvas;\n }\n for (let i = 0; i < _filterChain.length; i++) {\n _lastInChain = (i === _filterChain.length - 1);\n const f = _filterChain[i];\n f.func.apply(this, f.args || []);\n }\n return _canvas;\n };\n\n const _compileShader = function (fragmentSource) {\n if (_shaderProgramCache[fragmentSource]) {\n _currentProgram = _shaderProgramCache[fragmentSource];\n gl.useProgram(_currentProgram.id);\n return _currentProgram;\n }\n // Compile shaders\n const SHADER = {};\n SHADER.VERTEX_IDENTITY = [\n 'precision highp float;',\n 'attribute vec2 pos;',\n 'attribute vec2 uv;',\n 'varying vec2 vUv;',\n 'uniform float flipY;',\n 'void main(void) {',\n 'vUv = uv;',\n 'gl_Position = vec4(pos.x, pos.y*flipY, 0.0, 1.);',\n '}',\n ].join('\\n');\n SHADER.FRAGMENT_IDENTITY = [\n 'precision highp float;',\n 'varying vec2 vUv;',\n 'uniform sampler2D texture;',\n 'void main(void) {',\n 'gl_FragColor = texture2D(texture, vUv);',\n '}',\n ].join('\\n');\n _currentProgram = new GLProgram(gl, SHADER.VERTEX_IDENTITY, fragmentSource);\n const floatSize = Float32Array.BYTES_PER_ELEMENT;\n const vertSize = 4 * floatSize;\n gl.enableVertexAttribArray(_currentProgram.attribute.pos);\n gl.vertexAttribPointer(_currentProgram.attribute.pos, 2, gl.FLOAT, false, vertSize, 0 * floatSize);\n gl.enableVertexAttribArray(_currentProgram.attribute.uv);\n gl.vertexAttribPointer(_currentProgram.attribute.uv, 2, gl.FLOAT, false, vertSize, 2 * floatSize);\n _shaderProgramCache[fragmentSource] = _currentProgram;\n return _currentProgram;\n };\n\n // -------------------------------------------------------------------------\n // Color Matrix Filter\n _filter.colorMatrix = function (matrix) {\n // Create a Float32 Array and normalize the offset component to 0-1\n const m = new Float32Array(matrix);\n m[4] /= 255;\n m[9] /= 255;\n m[14] /= 255;\n m[19] /= 255;\n // Can we ignore the alpha value? Makes things a bit faster.\n const shader = (m[18] === 1 && m[3] === 0 && m[8] === 0 && m[13] === 0 && m[15] === 0 && m[16] === 0 && m[17] === 0 && m[19] === 0)\n ? _filter.colorMatrix.SHADER.WITHOUT_ALPHA\n : _filter.colorMatrix.SHADER.WITH_ALPHA;\n const program = _compileShader(shader);\n gl.uniform1fv(program.uniform.m, m);\n _draw();\n };\n _filter.colorMatrix.SHADER = {};\n _filter.colorMatrix.SHADER.WITH_ALPHA = [\n 'precision highp float;',\n 'varying vec2 vUv;',\n 'uniform sampler2D texture;',\n 'uniform float m[20];',\n 'void main(void) {',\n 'vec4 c = texture2D(texture, vUv);',\n 'gl_FragColor.r = m[0] * c.r + m[1] * c.g + m[2] * c.b + m[3] * c.a + m[4];',\n 'gl_FragColor.g = m[5] * c.r + m[6] * c.g + m[7] * c.b + m[8] * c.a + m[9];',\n 'gl_FragColor.b = m[10] * c.r + m[11] * c.g + m[12] * c.b + m[13] * c.a + m[14];',\n 'gl_FragColor.a = m[15] * c.r + m[16] * c.g + m[17] * c.b + m[18] * c.a + m[19];',\n '}',\n ].join('\\n');\n _filter.colorMatrix.SHADER.WITHOUT_ALPHA = [\n 'precision highp float;',\n 'varying vec2 vUv;',\n 'uniform sampler2D texture;',\n 'uniform float m[20];',\n 'void main(void) {',\n 'vec4 c = texture2D(texture, vUv);',\n 'gl_FragColor.r = m[0] * c.r + m[1] * c.g + m[2] * c.b + m[4];',\n 'gl_FragColor.g = m[5] * c.r + m[6] * c.g + m[7] * c.b + m[9];',\n 'gl_FragColor.b = m[10] * c.r + m[11] * c.g + m[12] * c.b + m[14];',\n 'gl_FragColor.a = c.a;',\n '}',\n ].join('\\n');\n\n _filter.brightness = function (brightness) {\n const b = (brightness || 0) + 1;\n _filter.colorMatrix([\n b, 0, 0, 0, 0,\n 0, b, 0, 0, 0,\n 0, 0, b, 0, 0,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.saturation = function (amount) {\n const x = (amount || 0) * 2 / 3 + 1;\n const y = ((x - 1) * -0.5);\n _filter.colorMatrix([\n x, y, y, 0, 0,\n y, x, y, 0, 0,\n y, y, x, 0, 0,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.desaturate = function () {\n _filter.saturation(-1);\n };\n\n _filter.contrast = function (amount) {\n const v = (amount || 0) + 1;\n const o = -128 * (v - 1);\n\n _filter.colorMatrix([\n v, 0, 0, 0, o,\n 0, v, 0, 0, o,\n 0, 0, v, 0, o,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.negative = function () {\n _filter.contrast(-2);\n };\n\n _filter.hue = function (rotation) {\n rotation = (rotation || 0) / 180 * Math.PI;\n const cos = Math.cos(rotation);\n const sin = Math.sin(rotation);\n const lumR = 0.213;\n const lumG = 0.715;\n const lumB = 0.072;\n\n _filter.colorMatrix([\n lumR + cos * (1 - lumR) + sin * (-lumR), lumG + cos * (-lumG) + sin * (-lumG), lumB + cos * (-lumB) + sin * (1 - lumB), 0, 0,\n lumR + cos * (-lumR) + sin * (0.143), lumG + cos * (1 - lumG) + sin * (0.140), lumB + cos * (-lumB) + sin * (-0.283), 0, 0,\n lumR + cos * (-lumR) + sin * (-(1 - lumR)), lumG + cos * (-lumG) + sin * (lumG), lumB + cos * (1 - lumB) + sin * (lumB), 0, 0,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.desaturateLuminance = function () {\n _filter.colorMatrix([\n 0.2764723, 0.9297080, 0.0938197, 0, -37.1,\n 0.2764723, 0.9297080, 0.0938197, 0, -37.1,\n 0.2764723, 0.9297080, 0.0938197, 0, -37.1,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.sepia = function () {\n _filter.colorMatrix([\n 0.393, 0.7689999, 0.18899999, 0, 0,\n 0.349, 0.6859999, 0.16799999, 0, 0,\n 0.272, 0.5339999, 0.13099999, 0, 0,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.brownie = function () {\n _filter.colorMatrix([\n 0.5997023498159715, 0.34553243048391263, -0.2708298674538042, 0, 47.43192855600873,\n -0.037703249837783157, 0.8609577587992641, 0.15059552388459913, 0, -36.96841498319127,\n 0.24113635128153335, -0.07441037908422492, 0.44972182064877153, 0, -7.562075277591283,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.vintagePinhole = function () {\n _filter.colorMatrix([\n 0.6279345635605994, 0.3202183420819367, -0.03965408211312453, 0, 9.651285835294123,\n 0.02578397704808868, 0.6441188644374771, 0.03259127616149294, 0, 7.462829176470591,\n 0.0466055556782719, -0.0851232987247891, 0.5241648018700465, 0, 5.159190588235296,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.kodachrome = function () {\n _filter.colorMatrix([\n 1.1285582396593525, -0.3967382283601348, -0.03992559172921793, 0, 63.72958762196502,\n -0.16404339962244616, 1.0835251566291304, -0.05498805115633132, 0, 24.732407896706203,\n -0.16786010706155763, -0.5603416277695248, 1.6014850761964943, 0, 35.62982807460946,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.technicolor = function () {\n _filter.colorMatrix([\n 1.9125277891456083, -0.8545344976951645, -0.09155508482755585, 0, 11.793603434377337,\n -0.3087833385928097, 1.7658908555458428, -0.10601743074722245, 0, -70.35205161461398,\n -0.231103377548616, -0.7501899197440212, 1.847597816108189, 0, 30.950940869491138,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.polaroid = function () {\n _filter.colorMatrix([\n 1.438, -0.062, -0.062, 0, 0,\n -0.122, 1.378, -0.122, 0, 0,\n -0.016, -0.016, 1.483, 0, 0,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.shiftToBGR = function () {\n _filter.colorMatrix([\n 0, 0, 1, 0, 0,\n 0, 1, 0, 0, 0,\n 1, 0, 0, 0, 0,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n // -------------------------------------------------------------------------\n // Convolution Filter\n _filter.convolution = function (matrix) {\n const m = new Float32Array(matrix);\n const pixelSizeX = 1 / _width;\n const pixelSizeY = 1 / _height;\n const program = _compileShader(_filter.convolution.SHADER);\n gl.uniform1fv(program.uniform.m, m);\n gl.uniform2f(program.uniform.px, pixelSizeX, pixelSizeY);\n _draw();\n };\n\n _filter.convolution.SHADER = [\n 'precision highp float;',\n 'varying vec2 vUv;',\n 'uniform sampler2D texture;',\n 'uniform vec2 px;',\n 'uniform float m[9];',\n 'void main(void) {',\n 'vec4 c11 = texture2D(texture, vUv - px);', // top left\n 'vec4 c12 = texture2D(texture, vec2(vUv.x, vUv.y - px.y));', // top center\n 'vec4 c13 = texture2D(texture, vec2(vUv.x + px.x, vUv.y - px.y));', // top right\n 'vec4 c21 = texture2D(texture, vec2(vUv.x - px.x, vUv.y) );', // mid left\n 'vec4 c22 = texture2D(texture, vUv);', // mid center\n 'vec4 c23 = texture2D(texture, vec2(vUv.x + px.x, vUv.y) );', // mid right\n 'vec4 c31 = texture2D(texture, vec2(vUv.x - px.x, vUv.y + px.y) );', // bottom left\n 'vec4 c32 = texture2D(texture, vec2(vUv.x, vUv.y + px.y) );', // bottom center\n 'vec4 c33 = texture2D(texture, vUv + px );', // bottom right\n 'gl_FragColor = ',\n 'c11 * m[0] + c12 * m[1] + c22 * m[2] +',\n 'c21 * m[3] + c22 * m[4] + c23 * m[5] +',\n 'c31 * m[6] + c32 * m[7] + c33 * m[8];',\n 'gl_FragColor.a = c22.a;',\n '}',\n ].join('\\n');\n\n _filter.detectEdges = function () {\n _filter.convolution.call(this, [\n 0, 1, 0,\n 1, -4, 1,\n 0, 1, 0,\n ]);\n };\n\n _filter.sobelX = function () {\n _filter.convolution.call(this, [\n -1, 0, 1,\n -2, 0, 2,\n -1, 0, 1,\n ]);\n };\n\n _filter.sobelY = function () {\n _filter.convolution.call(this, [\n -1, -2, -1,\n 0, 0, 0,\n 1, 2, 1,\n ]);\n };\n\n _filter.sharpen = function (amount) {\n const a = amount || 1;\n _filter.convolution.call(this, [\n 0, -1 * a, 0,\n -1 * a, 1 + 4 * a, -1 * a,\n 0, -1 * a, 0,\n ]);\n };\n\n _filter.emboss = function (size) {\n const s = size || 1;\n _filter.convolution.call(this, [\n -2 * s, -1 * s, 0,\n -1 * s, 1, 1 * s,\n 0, 1 * s, 2 * s,\n ]);\n };\n\n // -------------------------------------------------------------------------\n // Blur Filter\n _filter.blur = function (size) {\n const blurSizeX = (size / 7) / _width;\n const blurSizeY = (size / 7) / _height;\n const program = _compileShader(_filter.blur.SHADER);\n // Vertical\n gl.uniform2f(program.uniform.px, 0, blurSizeY);\n _draw(DRAW.INTERMEDIATE);\n // Horizontal\n gl.uniform2f(program.uniform.px, blurSizeX, 0);\n _draw();\n };\n\n _filter.blur.SHADER = [\n 'precision highp float;',\n 'varying vec2 vUv;',\n 'uniform sampler2D texture;',\n 'uniform vec2 px;',\n 'void main(void) {',\n 'gl_FragColor = vec4(0.0);',\n 'gl_FragColor += texture2D(texture, vUv + vec2(-7.0*px.x, -7.0*px.y))*0.0044299121055113265;',\n 'gl_FragColor += texture2D(texture, vUv + vec2(-6.0*px.x, -6.0*px.y))*0.00895781211794;',\n 'gl_FragColor += texture2D(texture, vUv + vec2(-5.0*px.x, -5.0*px.y))*0.0215963866053;',\n 'gl_FragColor += texture2D(texture, vUv + vec2(-4.0*px.x, -4.0*px.y))*0.0443683338718;',\n 'gl_FragColor += texture2D(texture, vUv + vec2(-3.0*px.x, -3.0*px.y))*0.0776744219933;',\n 'gl_FragColor += texture2D(texture, vUv + vec2(-2.0*px.x, -2.0*px.y))*0.115876621105;',\n 'gl_FragColor += texture2D(texture, vUv + vec2(-1.0*px.x, -1.0*px.y))*0.147308056121;',\n 'gl_FragColor += texture2D(texture, vUv )*0.159576912161;',\n 'gl_FragColor += texture2D(texture, vUv + vec2( 1.0*px.x, 1.0*px.y))*0.147308056121;',\n 'gl_FragColor += texture2D(texture, vUv + vec2( 2.0*px.x, 2.0*px.y))*0.115876621105;',\n 'gl_FragColor += texture2D(texture, vUv + vec2( 3.0*px.x, 3.0*px.y))*0.0776744219933;',\n 'gl_FragColor += texture2D(texture, vUv + vec2( 4.0*px.x, 4.0*px.y))*0.0443683338718;',\n 'gl_FragColor += texture2D(texture, vUv + vec2( 5.0*px.x, 5.0*px.y))*0.0215963866053;',\n 'gl_FragColor += texture2D(texture, vUv + vec2( 6.0*px.x, 6.0*px.y))*0.00895781211794;',\n 'gl_FragColor += texture2D(texture, vUv + vec2( 7.0*px.x, 7.0*px.y))*0.0044299121055113265;',\n '}',\n ].join('\\n');\n\n // -------------------------------------------------------------------------\n // Pixelate Filter\n _filter.pixelate = function (size) {\n const blurSizeX = (size) / _width;\n const blurSizeY = (size) / _height;\n const program = _compileShader(_filter.pixelate.SHADER);\n // Horizontal\n gl.uniform2f(program.uniform.size, blurSizeX, blurSizeY);\n _draw();\n };\n\n _filter.pixelate.SHADER = [\n 'precision highp float;',\n 'varying vec2 vUv;',\n 'uniform vec2 size;',\n 'uniform sampler2D texture;',\n 'vec2 pixelate(vec2 coord, vec2 size) {',\n 'return floor( coord / size ) * size;',\n '}',\n 'void main(void) {',\n 'gl_FragColor = vec4(0.0);',\n 'vec2 coord = pixelate(vUv, size);',\n 'gl_FragColor += texture2D(texture, coord);',\n '}',\n ].join('\\n');\n}\n", "/* eslint-disable indent */\n/* eslint-disable no-multi-spaces */\n\nexport default {\n backend: 'webgl', // select tfjs backend to use\n wasmPath: '../assets/', // path for wasm binaries\n // only used for backend: wasm\n async: true, // execute enabled models in parallel\n // this disables per-model performance data but\n // slightly increases performance\n // cannot be used if profiling is enabled\n profile: false, // enable tfjs profiling\n // this has significant performance impact\n // only enable for debugging purposes\n // currently only implemented for age,gender,emotion models\n deallocate: false, // aggresively deallocate gpu memory after each usage\n // only valid for webgl backend and only during first call\n // cannot be changed unless library is reloaded\n // this has significant performance impact\n // only enable on low-memory devices\n scoped: false, // enable scoped runs\n // some models *may* have memory leaks,\n // this wrapps everything in a local scope at a cost of performance\n // typically not needed\n videoOptimized: true, // perform additional optimizations when input is video,\n // must be disabled for images\n // basically this skips object box boundary detection for every n frames\n // while maintaining in-box detection since objects cannot move that fast\n warmup: 'face', // what to use for human.warmup(), can be 'none', 'face', 'full'\n // warmup pre-initializes all models for faster inference but can take\n // significant time on startup\n filter: {\n enabled: true, // enable image pre-processing filters\n width: 0, // resize input width\n height: 0, // resize input height\n // if both width and height are set to 0, there is no resizing\n // if just one is set, second one is scaled automatically\n // if both are set, values are used as-is\n return: true, // return processed canvas imagedata in result\n brightness: 0, // range: -1 (darken) to 1 (lighten)\n contrast: 0, // range: -1 (reduce contrast) to 1 (increase contrast)\n sharpness: 0, // range: 0 (no sharpening) to 1 (maximum sharpening)\n blur: 0, // range: 0 (no blur) to N (blur radius in pixels)\n saturation: 0, // range: -1 (reduce saturation) to 1 (increase saturation)\n hue: 0, // range: 0 (no change) to 360 (hue rotation in degrees)\n negative: false, // image negative\n sepia: false, // image sepia colors\n vintage: false, // image vintage colors\n kodachrome: false, // image kodachrome colors\n technicolor: false, // image technicolor colors\n polaroid: false, // image polaroid camera effect\n pixelate: 0, // range: 0 (no pixelate) to N (number of pixels to pixelate)\n },\n\n gesture: {\n enabled: true, // enable simple gesture recognition\n },\n\n face: {\n enabled: true, // controls if specified modul is enabled\n // face.enabled is required for all face models:\n // detector, mesh, iris, age, gender, emotion\n // (note: module is not loaded until it is required)\n detector: {\n modelPath: '../models/blazeface-back.json', // can be 'blazeface-front', 'blazeface-front' or 'faceboxes'\n // 'blazeface-front' is blazeface model optimized for large faces such as front-facing camera\n // 'blazeface-back' is blazeface model optimized for smaller and/or distanct faces\n // 'faceboxes' is alternative model to 'blazeface\n inputSize: 256, // fixed value: 128 for front and 256 for 'back'\n rotation: false, // use best-guess rotated face image or just box with rotation as-is\n // false means higher performance, but incorrect mesh mapping if face angle is above 20 degrees\n maxFaces: 10, // maximum number of faces detected in the input\n // should be set to the minimum number for performance\n skipFrames: 11, // how many frames to go without re-running the face bounding box detector\n // only used for video inputs\n // e.g., if model is running st 25 FPS, we can re-use existing bounding\n // box for updated face analysis as the head probably hasn't moved much\n // in short time (10 * 1/25 = 0.25 sec)\n minConfidence: 0.5, // threshold for discarding a prediction\n iouThreshold: 0.2, // threshold for deciding whether boxes overlap too much in\n // non-maximum suppression (0.1 means drop if overlap 10%)\n scoreThreshold: 0.5, // threshold for deciding when to remove boxes based on score\n // in non-maximum suppression,\n // this is applied on detection objects only and before minConfidence\n },\n\n mesh: {\n enabled: true,\n modelPath: '../models/facemesh.json',\n inputSize: 192, // fixed value\n returnRawData: false, // in addition to standard mesh and box values, return raw normalized values as well\n },\n\n iris: {\n enabled: true,\n modelPath: '../models/iris.json',\n inputSize: 64, // fixed value\n },\n\n age: {\n enabled: true,\n modelPath: '../models/age-ssrnet-imdb.json', // can be 'age-ssrnet-imdb' or 'age-ssrnet-wiki'\n // which determines training set for model\n inputSize: 64, // fixed value\n skipFrames: 31, // how many frames to go without re-running the detector\n // only used for video inputs\n },\n\n gender: {\n enabled: true,\n minConfidence: 0.1, // threshold for discarding a prediction\n modelPath: '../models/gender-ssrnet-imdb.json', // can be 'gender', 'gender-ssrnet-imdb' or 'gender-ssrnet-wiki'\n inputSize: 64, // fixed value\n skipFrames: 41, // how many frames to go without re-running the detector\n // only used for video inputs\n },\n\n emotion: {\n enabled: true,\n inputSize: 64, // fixed value\n minConfidence: 0.2, // threshold for discarding a prediction\n skipFrames: 21, // how many frames to go without re-running the detector\n modelPath: '../models/emotion-large.json', // can be 'mini', 'large'\n },\n\n embedding: {\n enabled: false,\n inputSize: 112, // fixed value\n modelPath: '../models/mobilefacenet.json',\n },\n },\n\n body: {\n enabled: true,\n modelPath: '../models/posenet.json',\n inputSize: 257, // fixed value\n maxDetections: 10, // maximum number of people detected in the input\n // should be set to the minimum number for performance\n scoreThreshold: 0.5, // threshold for deciding when to remove boxes based on score\n // in non-maximum suppression\n nmsRadius: 20, // radius for deciding points are too close in non-maximum suppression\n outputStride: 16, // size of block in which to run point detectopn, smaller value means higher resolution\n // defined by model itself, can be 8, 16, or 32\n modelType: 'MobileNet', // Human includes MobileNet version, but you can switch to ResNet\n },\n\n hand: {\n enabled: true,\n rotation: false, // use best-guess rotated hand image or just box with rotation as-is\n // false means higher performance, but incorrect finger mapping if hand is inverted\n inputSize: 256, // fixed value\n skipFrames: 12, // how many frames to go without re-running the hand bounding box detector\n // only used for video inputs\n // e.g., if model is running st 25 FPS, we can re-use existing bounding\n // box for updated hand skeleton analysis as the hand probably\n // hasn't moved much in short time (10 * 1/25 = 0.25 sec)\n minConfidence: 0.1, // threshold for discarding a prediction\n iouThreshold: 0.1, // threshold for deciding whether boxes overlap too much\n // in non-maximum suppression\n scoreThreshold: 0.5, // threshold for deciding when to remove boxes based on\n // score in non-maximum suppression\n maxHands: 1, // maximum number of hands detected in the input\n // should be set to the minimum number for performance\n landmarks: true, // detect hand landmarks or just hand boundary box\n detector: {\n modelPath: '../models/handdetect.json',\n },\n skeleton: {\n modelPath: '../models/handskeleton.json',\n },\n },\n};\n", "// data:image/jpeg;base64,\nexport const face = 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"names": [] } diff --git a/dist/human.node.json b/dist/human.node.json index 72fccb62..78961c4f 100644 --- a/dist/human.node.json +++ b/dist/human.node.json @@ -175,7 +175,7 @@ ] }, "src/embedding/embedding.ts": { - "bytes": 1909, + "bytes": 2022, "imports": [ { "path": "src/log.ts", @@ -499,7 +499,7 @@ "imports": [], "exports": [], "inputs": {}, - "bytes": 705270 + "bytes": 705433 }, "dist/human.node-gpu.js": { "imports": [], @@ -554,7 +554,7 @@ "bytesInOutput": 1247 }, "src/embedding/embedding.ts": { - "bytesInOutput": 769 + "bytesInOutput": 838 }, "src/posenet/posenet.ts": { "bytesInOutput": 1030 @@ -620,7 +620,7 @@ "bytesInOutput": 2569 } }, - "bytes": 276775 + "bytes": 276844 } } } diff --git a/dist/human.ts b/dist/human.ts index d52ca29a..a403423a 100644 --- a/dist/human.ts +++ b/dist/human.ts @@ -4045,7 +4045,7 @@ return a / b;`,aj=` tensor.shape[0], but sum of lengths is ${r}, and tensor's shape is: ${e.shape}`);let s=e.shape.slice(1),i=zy(s,n),o=r===0?0:e.size/r,l=W(()=>{let 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r=I("image",e,t,n),a=I("boxes",e,t,n),s=I("boxInd",e,t,n),i=I("cropSize",e,t,n),o=I("method",e,t,n),l=I("extrapolationValue",e,t,n);return[Je.cropAndResize(r,a,s,i,o,l)]}default:throw TypeError(`Node type ${e.op} is not implemented`)}},Vne=(e,t,n)=>{switch(e.op){case"Equal":return[va(I("a",e,t,n),I("b",e,t,n))];case"NotEqual":return[ti(I("a",e,t,n),I("b",e,t,n))];case"Greater":return[Qn(I("a",e,t,n),I("b",e,t,n))];case"GreaterEqual":return[Ia(I("a",e,t,n),I("b",e,t,n))];case"Less":return[hd(I("a",e,t,n),I("b",e,t,n))];case"LessEqual":return[Qs(I("a",e,t,n),I("b",e,t,n))];case"LogicalAnd":return[er(I("a",e,t,n),I("b",e,t,n))];case"LogicalNot":return[Bu(I("a",e,t,n))];case"LogicalOr":return[md(I("a",e,t,n),I("b",e,t,n))];case"Select":case"SelectV2":return[pn(I("condition",e,t,n),I("a",e,t,n),I("b",e,t,n))];default:throw TypeError(`Node type ${e.op} is not 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Consider providing the following inputs: [${c}]. ${g}`)}return p}processStack(e,t,n,r,a,s,i,o,l){let c=[];for(;t.length>0;){let u=t.pop();n.currentContext=u.contexts;let h="";if(u.node.op==="Enter"&&I("isConstant",u.node,r,n)&&([h]=sa(u.node.name,n)),r[u.node.name]==null){let d=sv(u.node,r,n,this._resourceManager);h||([h]=sa(u.node.name,n));let p=n.currentContext;k.isPromise(d)?c.push(d.then(f=>(r[h]=f,n.currentContext=p,this.checkTensorForDisposal(h,u.node,r,n,s,i,o),this.processChildNodes(u.node,t,n,r,a,l),f))):(r[h]=d,this.checkTensorForDisposal(h,u.node,r,n,s,i,o),this.processChildNodes(u.node,t,n,r,a,l))}else this.processChildNodes(u.node,t,n,r,a,l)}return c}processChildNodes(e,t,n,r,a,s){e.children.forEach(i=>{let[o]=sa(i.name,n);a[o]||!s.has(i.name)||(i.op==="Merge"?i.inputNames.some(l=>!!xn(l,r,n))&&(a[o]=!0,t.push({contexts:n.currentContext,node:i})):i.inputNames.every(l=>!!xn(l,r,n))&&(a[o]=!0,t.push({contexts:n.currentContext,node:i})))})}dispose(){Object.keys(this.weightMap).forEach(e=>this.weightMap[e].forEach(t=>t.dispose()))}checkInputShapeAndType(e){Object.keys(e).forEach(t=>{let n=e[t],[r]=Mn(t),a=this.graph.nodes[r];if(a.attrParams.shape&&a.attrParams.shape.value){let s=a.attrParams.shape.value,i=s.length===n.shape.length&&n.shape.every((o,l)=>s[l]===-1||s[l]===o);k.assert(i,()=>`The shape of dict['${a.name}'] provided in model.execute(dict) must be [${s}], but was [${n.shape}]`)}a.attrParams.dtype&&a.attrParams.dtype.value&&k.assert(n.dtype===a.attrParams.dtype.value,()=>`The dtype of dict['${a.name}'] provided in model.execute(dict) must be ${a.attrParams.dtype.value}, but was ${n.dtype}`)})}mapInputs(e){let t={};for(let n in e)if(this._signature!=null&&this._signature.inputs!=null&&this._signature.inputs[n]!=null){let r=this._signature.inputs[n];t[r.name]=e[n]}else t[n]=e[n];return t}checkInputs(e){let t=Object.keys(e).filter(n=>{let[r]=Mn(n);return this.graph.nodes[r]==null});if(t.length>0)throw new Error(`The dict provided in model.execute(dict) has keys: [${t}] that are not part of graph`)}mapOutputs(e){return e.map(t=>this._signature!=null&&this._signature.outputs!=null&&this._signature.outputs[t]!=null?this._signature.outputs[t].name:t,{})}checkOutputs(e){e.forEach(t=>{let[n]=Mn(t);if(!this.graph.nodes[n])throw new Error(`The output '${t}' is not found in the graph`)})}},tre=class{constructor(e={},t={}){this.hashTableNameToHandle=e,this.hashTableMap=t}addHashTable(e,t){this.hashTableNameToHandle[e]=t.handle,this.hashTableMap[t.id]=t}getHashTableHandleByName(e){return this.hashTableNameToHandle[e]}getHashTableById(e){return this.hashTableMap[e]}dispose(){for(let e in this.hashTableMap)this.hashTableMap[e].clearAndClose(),delete this.hashTableMap[e];for(let e in this.hashTableNameToHandle)this.hashTableNameToHandle[e].dispose(),delete this.hashTableNameToHandle[e]}},nre="?tfjs-format=file",rre="model.json",uv=class{constructor(e,t={}){this.modelUrl=e,this.loadOptions=t,this.version="n/a",t==null&&(this.loadOptions={}),this.resourceManager=new tre}get modelVersion(){return this.version}get inputNodes(){return this.executor.inputNodes}get outputNodes(){return this.executor.outputNodes}get inputs(){return this.executor.inputs}get outputs(){return this.executor.outputs}get weights(){return this.executor.weightMap}get metadata(){return this.artifacts.userDefinedMetadata}get modelSignature(){return this.signature}findIOHandler(){let e=this.modelUrl;if(e.load!=null)this.handler=e;else if(this.loadOptions.requestInit!=null)this.handler=hn.browserHTTPRequest(e,this.loadOptions);else{let t=hn.getLoadHandlers(e,this.loadOptions);if(t.length===0)t.push(hn.browserHTTPRequest(e,this.loadOptions));else if(t.length>1)throw new Error(`Found more than one (${t.length}) load handlers for URL '${[e]}'`);this.handler=t[0]}}async load(){if(this.findIOHandler(),this.handler.load==null)throw new Error("Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.");let e=await this.handler.load();return this.loadSync(e)}loadSync(e){this.artifacts=e;let t=this.artifacts.modelTopology,n;this.artifacts.userDefinedMetadata!=null&&this.artifacts.userDefinedMetadata.signature!=null?n=this.artifacts.userDefinedMetadata.signature:n=this.artifacts.signature,this.signature=n,this.version=`${t.versions.producer}.${t.versions.minConsumer}`;let r=hn.decodeWeights(this.artifacts.weightData,this.artifacts.weightSpecs);if(this.executor=new Ly(ev.Instance.transformGraph(t,this.signature)),this.executor.weightMap=this.convertTensorMapToTensorsMap(r),this.executor.resourceManager=this.resourceManager,e.modelInitializer!=null&&e.modelInitializer.node!=null){let a=ev.Instance.transformGraph(e.modelInitializer);this.initializer=new Ly(a),this.initializer.weightMap=this.executor.weightMap,this.initializer.resourceManager=this.resourceManager,this.initializer.executeAsync({},[])}return!0}async save(e,t){if(typeof e=="string"){let n=hn.getSaveHandlers(e);if(n.length===0)throw new Error(`Cannot find any save handlers for URL '${e}'`);if(n.length>1)throw new Error(`Found more than one (${n.length}) save handlers for URL '${e}'`);e=n[0]}if(e.save==null)throw new Error("GraphModel.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.");return e.save(this.artifacts)}predict(e,t){return this.execute(e,this.outputNodes)}normalizeInputs(e){if(!(e instanceof Ze)&&!Array.isArray(e))return e;if(e=Array.isArray(e)?e:[e],e.length!==this.inputNodes.length)throw new Error(`Input tensor count mismatch,the graph model has ${this.inputNodes.length} placeholders, while there are ${e.length} input tensors.`);return this.inputNodes.reduce((t,n,r)=>(t[n]=e[r],t),{})}normalizeOutputs(e){return e=e||this.outputNodes,Array.isArray(e)?e:[e]}execute(e,t){e=this.normalizeInputs(e),t=this.normalizeOutputs(t);let n=this.executor.execute(e,t);return n.length>1?n:n[0]}async executeAsync(e,t){e=this.normalizeInputs(e),t=this.normalizeOutputs(t);let n=await this.executor.executeAsync(e,t);return n.length>1?n:n[0]}convertTensorMapToTensorsMap(e){return Object.keys(e).reduce((t,n)=>(t[n]=[e[n]],t),{})}dispose(){this.executor.dispose(),this.initializer&&this.initializer.dispose(),this.resourceManager.dispose()}};async function Tt(e,t={}){if(e==null)throw new Error("modelUrl in loadGraphModel() cannot be null. Please provide a url or an IOHandler that loads the model");t==null&&(t={}),t.fromTFHub&&e.load==null&&(e.endsWith("/")||(e=e+"/"),e=`${e}${rre}${nre}`);let n=new uv(e,t);return await n.load(),n}var are="3.1.0",cv={};Oe(cv,{CSVDataset:()=>dv,Dataset:()=>Fl,FileDataSource:()=>pv,TextLineDataset:()=>hv,URLDataSource:()=>fv,array:()=>sre,csv:()=>ore,func:()=>lre,generator:()=>ure,microphone:()=>hre,version_data:()=>dre,webcam:()=>cre,zip:()=>ire});var pre=Di(ng()),fre=Di(ng());function mre(e,t){return Yp(e,t)}function Yp(e,t,n=new Map,r=new Set){if(e==null)return null;if(r.has(e))throw new Error("Circular references are not supported.");if(n.has(e))return n.get(e);let a=t(e);if(a.recurse&&a.value!==null)throw new Error("A deep map function may not return both a value and recurse=true.");if(a.recurse)if(Ml(e)){let s=Array.isArray(e)?[]:{};r.add(e);for(let i in e){let o=e[i],l=Yp(o,t,n,r);s[i]=l}return r.delete(e),s}else throw new Error(`Can't recurse into non-iterable type: ${e}`);else return n.set(e,a.value),a.value}function Are(e,t=Av){return mv(e,t)}function mv(e,t,n=new Set){let r=e[0];if(n.has(r))throw new Error("Circular references are not supported.");let a=t(e);if(a.recurse&&a.value!==null)throw new Error("A deep zip function may not return both a value and recurse=true.");if(a.recurse)if(Ml(r)){let s=Array.isArray(r)?[]:{};n.add(r);for(let i in r){let o=e.map(c=>c[i]),l=mv(o,t,n);s[i]=l}return n.delete(r),s}else throw new Error(`Can't recurse into non-iterable type: ${r}`);else return a.value}function Av(e){return e===null?null:Ml(e[0])?{value:null,recurse:!0}:{value:e,recurse:!1}}async function yv(e,t){let n=new Map;Yp(e,t,n);for(let r of Array.from(n.keys())){let a=n.get(r);if(k.isPromise(a)){let s=await a;n.set(r,s)}}return Yp(e,t,n)}function Ml(e){return e!=null&&!ArrayBuffer.isView(e)&&(Array.isArray(e)||typeof e=="object"&&!(e instanceof Ze))}function gre(e){return e==null||yre(e)||Array.isArray(e)||typeof e=="object"&&e instanceof 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Gt{constructor(e){super();this.upstream=e,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> Serial`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){return this.upstream.next()}},Sre=class extends Gt{constructor(e,t){super();this.upstream=e,this.maxCount=t,this.count=0,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> Skip`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){for(;this.count++ Take`}async next(){return this.count++>=this.maxCount?{value:null,done:!0}:this.upstream.next()}},Ere=class extends Gt{constructor(e,t,n=!0){super();this.upstream=e,this.batchSize=t,this.enableSmallLastBatch=n,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> RowMajorBatch`}async next(){return 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Gt{constructor(e,t){super();this.upstream=e,this.handler=t,this.count=0,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> handleErrors`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){for(;;)try{return await this.upstream.next()}catch(e){if(!this.handler(e))return{value:null,done:!0}}}},_v=class extends Gt{constructor(e,t){super();this.upstream=e,this.transform=t}summary(){return`${this.upstream.summary()} -> AsyncMap`}async next(){let e=await this.upstream.next();if(e.done)return{value:null,done:!0};let t=cr.getTensorsInContainer(e.value),n=await this.transform(e.value),r=cr.getTensorsInContainer(n);for(let a of t)cr.isTensorInList(a,r)||a.dispose();return{value:n,done:!1}}},Vy=class extends Gt{constructor(){super();this.outputQueue=new Wy,this.lastRead=Promise.resolve({value:null,done:!1})}async next(){return 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this.moreIterators.next();if(n.done)return{value:null,done:!0};this.iterator=n.value,this.baseErrorHandler!=null&&(this.iterator=this.iterator.handleErrors(this.baseErrorHandler))}let t=await this.iterator.next();return t.done?(this.iterator=null,this.readFromChain(e)):t}},Pa;(function(e){e[e.FAIL=0]="FAIL",e[e.SHORTEST=1]="SHORTEST",e[e.LONGEST=2]="LONGEST"})(Pa||(Pa={}));var kre=class extends Gt{constructor(e,t=Pa.FAIL){super();this.iterators=e,this.mismatchMode=t,this.count=0,this.currentPromise=null}summary(){return"{TODO: fill in upstream of zip summaries} -> Zip"}async nextState(e){await e;let t=0,n=0;function r(s){return s instanceof Gt?{value:s.next().then(i=>(t++,i.done&&n++,i.value)),recurse:!1}:{value:null,recurse:!0}}let a=await yv(this.iterators,r);if(t===n)return{value:null,done:!0};if(n>0)switch(this.mismatchMode){case Pa.FAIL:throw new Error(`Zipped streams should have the same length. 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If your data fits in main memory (for regular JS objects), and/or GPU memory (for \`tf.Tensor\`s), consider setting bufferSize to the dataset size (${this.size} elements)`);let r=this,a=pre.alea(t||k.now().toString());return $n(async()=>{let s=a.int32();return n&&(s+=a.int32()),(await r.iterator()).shuffle(e,s.toString())},this.size)}take(e){let t=this,n;return this.size!=null&&this.size>e?n=e:this.size!=null&&this.size<=e?n=this.size:n=null,$n(async()=>(await t.iterator()).take(e),n)}async toArray(){if(this.size===Infinity)throw new Error("Can not convert infinite data stream to array.");return(await this.iterator()).toArray()}async toArrayForTest(){if(this.size===Infinity)throw new Error("Can not convert infinite data stream to array.");return(await this.iterator()).toArrayForTest()}};Fl.MAX_BUFFER_SIZE=1e4;function $n(e,t=null){return new class extends Fl{constructor(){super(...arguments);this.size=t}async iterator(){return e()}}}function sre(e){return $n(async()=>xv(e),e.length)}function ire(e){if(!Ml(e))throw new Error("The argument to zip() must be an object or array.");let t;if(Array.isArray(e))for(let n=0;n{let n=await yv(e,r=>{if(r instanceof Fl)return{value:r.iterator(),recurse:!1};if(Ml(r))return{value:null,recurse:!0};throw new Error("Leaves of the structure passed to zip() must be Datasets, not primitives.")});return Ire(n,Pa.SHORTEST)},t)}function Ore(e){if(e===null)return null;let t=e[0];return gre(t)?{value:Dre(e),recurse:!1}:{value:null,recurse:!0}}function Dre(e){if(e.length===0)throw new Error("Can't make a batch of zero elements.");return e[0]instanceof Ze?Tn(e):hr(e)}var hv=class extends Fl{constructor(e){super();this.input=e}async iterator(){return(await this.input.iterator()).decodeUTF8().split(` -`).map(e=>(e.endsWith("\r")&&(e=e.slice(0,-1)),e))}},Jp='"',Mc=Symbol("out"),vv=Symbol("field"),Qp=Symbol("quote"),Uy=Symbol("quoteafterquote"),kv=Symbol("quoteinquote"),dv=class extends Fl{constructor(e,t){super();this.input=e,this.hasHeader=!0,this.fullColumnNames=null,this.columnNamesValidated=!1,this.columnConfigs=null,this.configuredColumnsOnly=!1,this.delimiter=",",this.delimWhitespace=!1,this.base=new hv(e),t||(t={}),this.hasHeader=t.hasHeader!==!1,this.fullColumnNames=t.columnNames,this.columnConfigs=t.columnConfigs,this.configuredColumnsOnly=t.configuredColumnsOnly,t.delimWhitespace?(k.assert(t.delimiter==null,()=>"Delimiter should not be provided when delimWhitespace is true."),this.delimWhitespace=!0,this.delimiter=" "):this.delimiter=t.delimiter?t.delimiter:","}async columnNames(){return this.columnNamesValidated||await this.setColumnNames(),this.configuredColumnsOnly?Object.keys(this.columnConfigs):this.fullColumnNames}async setColumnNames(){let e=await this.maybeReadHeaderLine();if(!this.fullColumnNames&&!e)throw new Error("Column names must be provided if there is no header line.");this.fullColumnNames&&e&&k.assert(e.length===this.fullColumnNames.length,()=>"The length of provided columnNames ("+this.fullColumnNames.length.toString()+") does not match the length of the header line read from file ("+e.length.toString()+")."),this.fullColumnNames||(this.fullColumnNames=e);let t=this.fullColumnNames.reduce((r,a)=>(r[a]=r[a]+1||1,r),{}),n=Object.keys(t).filter(r=>t[r]>1);if(k.assert(n.length===0,()=>"Duplicate column names found: "+n.toString()),this.columnConfigs){for(let r of Object.keys(this.columnConfigs))if(this.fullColumnNames.indexOf(r)===-1)throw new Error('The key "'+r+'" provided in columnConfigs does not match any of the column names ('+this.fullColumnNames.toString()+").")}this.columnNamesValidated=!0}async maybeReadHeaderLine(){if(this.hasHeader){let e=await(await this.base.iterator()).next();if(e.done)throw new Error("No data was found for CSV parsing.");let t=e.value;return this.parseRow(t,!1)}else return null}async iterator(){this.columnNamesValidated||await this.setColumnNames();let e=await this.base.iterator();return this.hasHeader&&(e=e.skip(1)),e.map(t=>this.makeDataElement(t))}makeDataElement(e){let t=this.parseRow(e),n={},r={};for(let a=0;a14||!Number.isInteger(t))throw new Error(`Invalid fftSize: it must be a power of 2 between 2 to 4 and 2 to 14, but got ${this.fftSize}`);if(this.numFrames=e.numFramesPerSpectrogram||43,this.sampleRateHz=e.sampleRateHz,this.columnTruncateLength=e.columnTruncateLength||this.fftSize,this.audioTrackConstraints=e.audioTrackConstraints,this.smoothingTimeConstant=e.smoothingTimeConstant||0,this.includeSpectrogram=e.includeSpectrogram!==!1,this.includeWaveform=e.includeWaveform===!0,!this.includeSpectrogram&&!this.includeWaveform)throw new Error("Both includeSpectrogram and includeWaveform are false. At least one type of data should be returned.")}summary(){return"microphone"}static async create(e={}){if(Q().get("IS_NODE"))throw new Error("microphone API is only supported in browser environment.");let t=new Iv(e);return await t.start(),t}async start(){try{this.stream=await navigator.mediaDevices.getUserMedia({audio:this.audioTrackConstraints==null?!0:this.audioTrackConstraints,video:!1})}catch(n){throw new Error(`Error thrown while initializing video stream: ${n.message}`)}if(!this.stream)throw new Error("Could not obtain audio from microphone.");let e=window.AudioContext||window.webkitAudioContext;if(this.audioContext=new e,!this.sampleRateHz)this.sampleRateHz=this.audioContext.sampleRate;else if(this.audioContext.sampleRate!==this.sampleRateHz)throw new Error(`Mismatch in sampling rate: Expected: ${this.sampleRateHz}; Actual: ${this.audioContext.sampleRate}`);let t=this.audioContext.createMediaStreamSource(this.stream);this.analyser=this.audioContext.createAnalyser(),this.analyser.fftSize=this.fftSize*2,this.analyser.smoothingTimeConstant=this.smoothingTimeConstant,t.connect(this.analyser),this.freqData=new Float32Array(this.fftSize),this.timeData=new Float32Array(this.fftSize)}async next(){if(this.isClosed)return{value:null,done:!0};let e,t,n=await this.getAudioData();if(this.includeSpectrogram){let r=this.flattenQueue(n.freqDataQueue);e=this.getTensorFromAudioDataArray(r,[this.numFrames,this.columnTruncateLength,1])}if(this.includeWaveform){let r=this.flattenQueue(n.timeDataQueue);t=this.getTensorFromAudioDataArray(r,[this.numFrames*this.fftSize,1])}return{value:{spectrogram:e,waveform:t},done:!1}}async capture(){return(await this.next()).value}async getAudioData(){let e=[],t=[],n=0;return new Promise(r=>{let a=setInterval(()=>{this.includeSpectrogram&&(this.analyser.getFloatFrequencyData(this.freqData),this.freqData[0]===-Infinity&&r({freqDataQueue:e,timeDataQueue:t}),e.push(this.freqData.slice(0,this.columnTruncateLength))),this.includeWaveform&&(this.analyser.getFloatTimeDomainData(this.timeData),t.push(this.timeData.slice())),++n===this.numFrames&&(clearInterval(a),r({freqDataQueue:e,timeDataQueue:t}))},this.fftSize/this.sampleRateHz*1e3)})}stop(){this.isClosed||(this.isClosed=!0,this.analyser.disconnect(),this.audioContext.close(),this.stream!=null&&this.stream.getTracks().length>0&&this.stream.getTracks()[0].stop())}toArray(){throw new Error("Can not convert infinite audio stream to array.")}getSampleRate(){return this.sampleRateHz}flattenQueue(e){let t=e[0].length,n=new Float32Array(e.length*t);return e.forEach((r,a)=>n.set(r,a*t)),n}getTensorFromAudioDataArray(e,t){let n=new Float32Array(k.sizeFromShape(t));return n.set(e,n.length-e.length),hr(n,t)}},Nv=class extends Gt{constructor(e,t){super();if(this.webcamVideoElement=e,this.webcamConfig=t,this.isClosed=!0,this.resize=!1,this.needToResize())if(this.resize=!0,this.cropSize=[this.webcamConfig.resizeHeight,this.webcamConfig.resizeWidth],this.cropBoxInd=Bt([0],"int32"),this.webcamConfig.centerCrop){let n=this.webcamConfig.resizeWidth*1/this.webcamVideoElement.width,r=this.webcamConfig.resizeHeight*1/this.webcamVideoElement.height,a=(1-n)/2,s=(1-r)/2,i=a+n,o=r+s;this.cropBox=fn([s,a,o,i],[1,4])}else this.cropBox=fn([0,0,1,1],[1,4])}summary(){return"webcam"}static async create(e,t={}){if(Q().get("IS_NODE"))throw new Error("tf.data.webcam is only supported in browser environment.");if(!e){if(e=document.createElement("video"),!t.resizeWidth||!t.resizeHeight)throw new Error("Please provide webcam video element, or resizeWidth and resizeHeight to create a hidden video element.");e.width=t.resizeWidth,e.height=t.resizeHeight}let n=new Nv(e,t);return await n.start(),n}async start(){this.webcamConfig.facingMode&&k.assert(this.webcamConfig.facingMode==="user"||this.webcamConfig.facingMode==="environment",()=>`Invalid webcam facing mode: ${this.webcamConfig.facingMode}. Please provide 'user' or 'environment'`);try{this.stream=await navigator.mediaDevices.getUserMedia({video:{deviceId:this.webcamConfig.deviceId,facingMode:this.webcamConfig.facingMode?this.webcamConfig.facingMode:"user",width:this.webcamVideoElement.width,height:this.webcamVideoElement.height}})}catch(e){throw e.message=`Error thrown while initializing video stream: ${e.message}`,e}if(!this.stream)throw new Error("Could not obtain video from webcam.");try{this.webcamVideoElement.srcObject=this.stream}catch(e){console.log(e),this.webcamVideoElement.src=window.URL.createObjectURL(this.stream)}return this.webcamVideoElement.play(),this.isClosed=!1,new Promise(e=>{this.webcamVideoElement.onloadedmetadata=()=>{e()}})}async next(){if(this.isClosed)return{value:null,done:!0};let e;try{e=Ho.fromPixels(this.webcamVideoElement)}catch(t){throw new Error(`Error thrown converting video to pixels: ${JSON.stringify(t)}`)}if(this.resize)try{return{value:this.cropAndResizeFrame(e),done:!1}}catch(t){throw new Error(`Error thrown cropping the video: ${t.message}`)}finally{e.dispose()}else return{value:e,done:!1}}needToResize(){return!!(this.webcamConfig.resizeWidth&&this.webcamConfig.resizeHeight&&(this.webcamVideoElement.width!==this.webcamConfig.resizeWidth||this.webcamVideoElement.height!==this.webcamConfig.resizeHeight))}cropAndResizeFrame(e){return W(()=>{let t=kn(me(e,"float32"),0),n;n=Je.cropAndResize(t,this.cropBox,this.cropBoxInd,this.cropSize,"bilinear");let r=n.shape;return q(n,r.slice(1))})}async capture(){return(await this.next()).value}stop(){this.stream.getTracks().forEach(e=>e.stop());try{this.webcamVideoElement.srcObject=null}catch(e){console.log(e),this.webcamVideoElement.src=null}this.isClosed=!0}toArray(){throw new Error("Can not convert infinite video stream to array.")}},Sv=class{},Tv=class extends Gt{split(e){return new zre(this,e)}},zre=class extends Tv{constructor(e,t){super();this.upstream=e,this.impl=new Pre(e,t)}summary(){return this.impl.summary()}async next(){return this.impl.next()}},Pre=class extends Vy{constructor(e,t){super();this.upstream=e,this.separator=t,this.carryover=""}summary(){return`${this.upstream.summary()} -> Split('${this.separator}')`}async pump(){let e=await this.upstream.next();if(e.done)return this.carryover===""?!1:(this.outputQueue.push(this.carryover),this.carryover="",!0);let t=e.value.split(this.separator);t[0]=this.carryover+t[0];for(let n of t.slice(0,-1))this.outputQueue.push(n);return this.carryover=t[t.length-1],!0}},Wre=class extends Gt{decodeUTF8(){return new Lre(this)}},Lre=class extends Tv{constructor(e){super();this.upstream=e,this.impl=new Bre(e)}summary(){return this.impl.summary()}async next(){return this.impl.next()}},Bre=class extends Vy{constructor(e){super();if(this.upstream=e,Q().get("IS_BROWSER"))this.decoder=new TextDecoder("utf-8");else{let{StringDecoder:t}=U8();this.decoder=new t("utf8")}}summary(){return`${this.upstream.summary()} -> Utf8`}async pump(){let e=await this.upstream.next(),t;if(e.done)return!1;t=e.value;let n;return Q().get("IS_BROWSER")?n=this.decoder.decode(t,{stream:!0}):n=this.decoder.write(Buffer.from(t.buffer)),this.outputQueue.push(n),!0}},Ev=class extends Wre{constructor(e,t={}){super();this.file=e,this.options=t,k.assert(e instanceof Uint8Array||(Q().get("IS_BROWSER")?e instanceof File||e instanceof Blob:!1),()=>"FileChunkIterator only supports File, Blob and Uint8Array right now."),this.offset=t.offset||0,this.chunkSize=t.chunkSize||1024*1024}summary(){return`FileChunks ${this.file}`}async next(){return this.offset>=(this.file instanceof Uint8Array?this.file.byteLength:this.file.size)?{value:null,done:!0}:{value:await new Promise((e,t)=>{let n=this.offset+this.chunkSize;if(this.file instanceof Uint8Array)e(new Uint8Array(this.file.slice(this.offset,n)));else{let r=new FileReader;r.onload=s=>{let i=r.result;if(i instanceof ArrayBuffer&&(i=new Uint8Array(i)),!(i instanceof Uint8Array))return t(new TypeError("FileReader returned unknown type."));e(i)},r.onabort=s=>t(new Error("Aborted")),r.onerror=s=>t(new Error(s.type));let a=this.file.slice(this.offset,n);r.readAsArrayBuffer(a)}this.offset=n}),done:!1}}};async function Ure(e,t={}){let n,r;typeof e=="string"?n=e:(n=e.url,r=Vre(e));let a=await k.fetch(n,r);if(a.ok){let s=new Uint8Array(await a.arrayBuffer());return new Ev(s,t)}else throw new Error(a.statusText)}var Vre=e=>({method:e.method,headers:e.headers,body:e.body,mode:e.mode,credentials:e.credentials,cache:e.cache,redirect:e.redirect,referrer:e.referrer,integrity:e.integrity});function Cv(e){return typeof e=="string"&&e.substr(0,7)==="file://"}var pv=class extends Sv{constructor(e,t={}){super();this.input=e,this.options=t}async iterator(){if(Cv(this.input)&&Q().get("IS_NODE")){let e=require("fs");this.input=e.readFileSync(this.input.substr(7))}return new Ev(this.input,this.options)}},fv=class extends Sv{constructor(e,t={}){super();this.url=e,this.fileOptions=t}async iterator(){return Cv(this.url)?new pv(this.url,this.fileOptions).iterator():Ure(this.url,this.fileOptions)}};function ore(e,t={}){return new dv(new fv(e),t)}function lre(e){let t=By(e);return $n(async()=>t)}function ure(e){return $n(async()=>{let t=await e();return By(()=>t.next())})}async function cre(e,t){return Nv.create(e,t)}async function hre(e){return Iv.create(e)}var dre="3.1.0",jre={tfjs:j8,"tfjs-core":G8,"tfjs-data":H8,"tfjs-layers":q8,"tfjs-converter":X8,"tfjs-backend-cpu":Rx,"tfjs-backend-webgl":Jw,"tfjs-backend-wasm":Vb};var un={name:"humangl",priority:99,canvas:null,gl:null,width:1024,height:1024,webGLattr:{alpha:!1,antialias:!1,premultipliedAlpha:!1,preserveDrawingBuffer:!1,depth:!1,stencil:!1,failIfMajorPerformanceCaveat:!1,desynchronized:!0}};function Rv(){if(!uf(un.name)){Te("backend registration:",un.name);try{un.canvas=typeof OffscreenCanvas!="undefined"?new OffscreenCanvas(un.width,un.height):document.createElement("canvas")}catch(e){Te("error: cannot create canvas:",e);return}try{un.gl=un.canvas.getContext("webgl2",un.webGLattr)}catch(e){Te("error: cannot get WebGL2 context:",e);return}try{Yd(2,un.gl)}catch(e){Te("error: cannot set WebGL2 context:",e);return}try{let e=new tp(un.gl);Xo(un.name,()=>new wl(e),un.priority)}catch(e){Te("error: cannot register WebGL backend:",e);return}try{Wo("webgl").forEach(t=>{let n={...t,backendName:un.name};Gs(n)})}catch(e){Te("error: cannot update WebGL backend registration:",e);return}try{kr.set("WEBGL_VERSION",2),kr.set("WEBGL_MAX_TEXTURE_SIZE",un.gl.getParameter(un.gl.MAX_TEXTURE_SIZE)),kr.set("WEBGL_FORCE_F16_TEXTURES",!0),kr.set("WEBGL_PACK_DEPTHWISECONV",!0)}catch(e){Te("error: cannot set WebGL backend flags:",e);return}Te("backend registered:",un.name)}}var Fv=6;function Gre(e){let t={strides:[e/16,e/8],anchors:[2,6]},n=[];for(let r=0;r({startEndTensor:e,startPoint:Ee(e,[0,0],[-1,2]),endPoint:Ee(e,[0,2],[-1,2])});function qre(e,t,n){let r=Ee(e,[0,1],[-1,2]),a=se(r,t),s=Ee(e,[0,3],[-1,2]),i=be(s,n),o=be(a,n),l=be(i,2),c=Ae(o,l),u=se(o,l),h=L(c,n),d=L(u,n);return Jo([h,d],1)}var Mv=class{constructor(t,n){this.blazeFaceModel=t,this.width=n.face.detector.inputSize,this.height=n.face.detector.inputSize,this.anchorsData=Gre(n.face.detector.inputSize),this.anchors=fn(this.anchorsData),this.inputSize=Bt([this.width,this.height]),this.config=n,this.scaleFaces=.8}async getBoundingBoxes(t){if(!t||t.isDisposedInternal||t.shape.length!==4||t.shape[1]<1||t.shape[2]<1)return null;let[n,r,a]=W(()=>{let h=t.resizeBilinear([this.width,this.height]),d=Ae(h.div(127.5),1),p=this.blazeFaceModel.predict(d),f;if(Array.isArray(p)){let g=p.sort((w,N)=>w.size-N.size),b=rt([g[0],g[2]],2),x=rt([g[1],g[3]],2);f=rt([x,b],1).squeeze(0)}else f=p.squeeze();let m=qre(f,this.anchors,this.inputSize),A=Ee(f,[0,0],[-1,1]),y=vn(A).squeeze();return[f,m,y]}),s=await Je.nonMaxSuppressionAsync(r,a,this.config.face.detector.maxFaces,this.config.face.detector.iouThreshold,this.config.face.detector.scoreThreshold),i=s.arraySync();s.dispose();let l=i.map(h=>Ee(r,[h,0],[1,-1])).map(h=>{let d=h.arraySync();return h.dispose(),d}),c=a.dataSync(),u=[];for(let h=0;hthis.config.face.detector.minConfidence){let f=Hre(l[h]),m=this.anchorsData[d],A=W(()=>Ee(n,[d,Fv-1],[1,-1]).squeeze().reshape([Fv,-1]));u.push({box:f,landmarks:A,anchor:m,confidence:p})}}return n.dispose(),r.dispose(),a.dispose(),n.dispose(),{boxes:u,scaleFactor:[t.shape[2]/this.width,t.shape[1]/this.height]}}};async function $v(e){let t=await Tt(e.face.detector.modelPath,{fromTFHub:e.face.detector.modelPath.includes("tfhub.dev")}),n=new Mv(t,e);return Te(`load model: ${e.face.detector.modelPath.match(/\/(.*)\./)[1]}`),n}function Ov(e,t){let n=[e.startPoint[0]*t[0],e.startPoint[1]*t[1]],r=[e.endPoint[0]*t[0],e.endPoint[1]*t[1]];return{startPoint:n,endPoint:r}}function $c(e){return[Math.abs(e.endPoint[0]-e.startPoint[0]),Math.abs(e.endPoint[1]-e.startPoint[1])]}function Oc(e){return[e.startPoint[0]+(e.endPoint[0]-e.startPoint[0])/2,e.startPoint[1]+(e.endPoint[1]-e.startPoint[1])/2]}function jy(e,t,n){let r=t.shape[1],a=t.shape[2],s=[[e.startPoint[1]/r,e.startPoint[0]/a,e.endPoint[1]/r,e.endPoint[0]/a]];return Je.cropAndResize(t,s,[0],n)}function e0(e,t=1.5){let n=Oc(e),r=$c(e),a=[t*r[0]/2,t*r[1]/2],s=[n[0]-a[0],n[1]-a[1]],i=[n[0]+a[0],n[1]+a[1]];return{startPoint:s,endPoint:i,landmarks:e.landmarks}}function t0(e){let t=Oc(e),n=$c(e),a=Math.max(...n)/2,s=[t[0]-a,t[1]-a],i=[t[0]+a,t[1]+a];return{startPoint:s,endPoint:i,landmarks:e.landmarks}}var n0=[[1,0,0],[0,1,0],[0,0,1]];function Xre(e){return e-2*Math.PI*Math.floor((e+Math.PI)/(2*Math.PI))}function Dv(e,t){let n=Math.PI/2-Math.atan2(-(t[1]-e[1]),t[0]-e[0]);return 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Sae(e,t,n){return{score:e.score,keypoints:e.keypoints.map(({score:r,part:a,position:s})=>({score:r,part:a,position:{x:s.x*n,y:s.y*t}}))}}function i6(e,[t,n]){let r=e.squeeze(0),a=r.resizeBilinear([t,n]);return r.dispose(),a}function C2(e,[t,n],[r,a]){return e.map(i=>Sae(i,t/r,n/a))}async function Tae(e,t,n){return new Promise(async r=>{let a=e.shape[1],s=e.shape[2],i=await s6([t.heatmapScores,t.offsets,t.displacementFwd,t.displacementBwd]),o=i[0],l=i[1],c=i[2],u=i[3],h=await a6(o,l,c,u,n),d=C2(h,[a,s],[n.body.inputSize,n.body.inputSize]);r(d)})}async function Eae(e,t,n){return new Promise(async r=>{let a=e.shape[1],s=e.shape[2],o=[await n6(t.heatmapScores,t.offsets,n)],l=C2(o,[a,s],[n.body.inputSize,n.body.inputSize]);r(l)})}var F2=class{constructor(t){this.baseModel=t}async estimatePoses(t,n){let r=i6(t,[n.body.inputSize,n.body.inputSize]),a=this.baseModel.predict(r,n),s=n.body.maxDetections<2?await Eae(t,a,n):await Tae(t,a,n);return a.heatmapScores.dispose(),a.offsets.dispose(),a.displacementFwd.dispose(),a.displacementBwd.dispose(),r.dispose(),s}dispose(){this.baseModel.dispose()}};async function M2(e){let t=await Tt(e.body.modelPath),n=new w2(t);return Te(`load model: ${e.body.modelPath.match(/\/(.*)\./)[1]}`),new F2(n)}var P2={};ur(P2,{HandPose:()=>W2,load:()=>B2});function h0(e){return[Math.abs(e.endPoint[0]-e.startPoint[0]),Math.abs(e.endPoint[1]-e.startPoint[1])]}function Dc(e){return[e.startPoint[0]+(e.endPoint[0]-e.startPoint[0])/2,e.startPoint[1]+(e.endPoint[1]-e.startPoint[1])/2]}function o6(e,t,n){let r=t.shape[1],a=t.shape[2],s=[[e.startPoint[1]/r,e.startPoint[0]/a,e.endPoint[1]/r,e.endPoint[0]/a]];return Je.cropAndResize(t,s,[0],n)}function l6(e,t){let n=[e.startPoint[0]*t[0],e.startPoint[1]*t[1]],r=[e.endPoint[0]*t[0],e.endPoint[1]*t[1]],a=e.palmLandmarks.map(s=>[s[0]*t[0],s[1]*t[1]]);return{startPoint:n,endPoint:r,palmLandmarks:a,confidence:e.confidence}}function d0(e,t=1.5){let n=Dc(e),r=h0(e),a=[t*r[0]/2,t*r[1]/2],s=[n[0]-a[0],n[1]-a[1]],i=[n[0]+a[0],n[1]+a[1]];return{startPoint:s,endPoint:i,palmLandmarks:e.palmLandmarks}}function p0(e){let t=Dc(e),n=h0(e),a=Math.max(...n)/2,s=[t[0]-a,t[1]-a],i=[t[0]+a,t[1]+a];return{startPoint:s,endPoint:i,palmLandmarks:e.palmLandmarks}}var $2=class{constructor(t,n,r){this.model=t,this.anchors=r.map(a=>[a.x_center,a.y_center]),this.anchorsTensor=fn(this.anchors),this.inputSizeTensor=Bt([n,n]),this.doubleInputSizeTensor=Bt([n*2,n*2])}normalizeBoxes(t){return W(()=>{let n=Ee(t,[0,0],[-1,2]),r=Ee(t,[0,2],[-1,2]),a=se(be(n,this.inputSizeTensor),this.anchorsTensor),s=be(r,this.doubleInputSizeTensor),i=L(Ae(a,s),this.inputSizeTensor),o=L(se(a,s),this.inputSizeTensor);return Jo([i,o],1)})}normalizeLandmarks(t,n){return W(()=>{let r=se(be(t.reshape([-1,7,2]),this.inputSizeTensor),this.anchors[n]);return L(r,this.inputSizeTensor)})}async getBoxes(t,n){let r=this.model.predict(t),a=r.squeeze();r.dispose();let s=W(()=>vn(Ee(a,[0,0],[-1,1])).squeeze()),i=s.dataSync(),o=Ee(a,[0,1],[-1,4]),l=this.normalizeBoxes(o);o.dispose();let c=await Je.nonMaxSuppressionAsync(l,i,n.hand.maxHands,n.hand.iouThreshold,n.hand.scoreThreshold),u=c.arraySync();s.dispose(),c.dispose();let h=[];for(let d of u)if(i[d]>=n.hand.minConfidence){let p=Ee(l,[d,0],[1,-1]),f=Ee(a,[d,5],[1,14]),m=W(()=>this.normalizeLandmarks(f,d).reshape([-1,2]));f.dispose(),h.push({box:p,palmLandmarks:m,confidence:i[d]})}return a.dispose(),l.dispose(),h}async estimateHandBounds(t,n){let r=t.shape[1],a=t.shape[2],s=W(()=>t.resizeBilinear([n.hand.inputSize,n.hand.inputSize]).div(127.5).sub(1)),i=await this.getBoxes(s,n);s.dispose();let o=[];if(!i||i.length===0)return o;for(let l of i){let c=l.box.dataSync(),u=c.slice(0,2),h=c.slice(2,4),d=l.palmLandmarks.arraySync();l.box.dispose(),l.palmLandmarks.dispose(),o.push(l6({startPoint:u,endPoint:h,palmLandmarks:d,confidence:l.confidence},[a/n.hand.inputSize,r/n.hand.inputSize]))}return o}};function Cae(e){return e-2*Math.PI*Math.floor((e+Math.PI)/(2*Math.PI))}function u6(e,t){let n=Math.PI/2-Math.atan2(-(t[1]-e[1]),t[0]-e[0]);return Cae(n)}var c6=(e,t)=>[[1,0,e],[0,1,t],[0,0,1]];function Wa(e,t){let n=0;for(let r=0;rD2([...s,1],n)),a=this.calculateLandmarksBoundingBox(r);return d0(p0(a),Fae)}getBoxForHandLandmarks(t){let n=this.calculateLandmarksBoundingBox(t),r=d0(p0(n),p6);r.palmLandmarks=[];for(let a=0;a[i[0]*(p[0]-this.inputSize/2),i[1]*(p[1]-this.inputSize/2),i[2]*p[2]]),l=O2(r,[0,0]),c=o.map(p=>[...D2(p,l),p[2]]),u=d6(a),h=[...Dc(n),1],d=[Wa(h,u[0]),Wa(h,u[1])];return c.map(p=>[p[0]+d[0],p[1]+d[1],p[2]])}async estimateHands(t,n){let r=!1,a;(this.skipped===0||this.skipped>n.hand.skipFrames||!n.hand.landmarks||!n.videoOptimized)&&(a=await this.handDetector.estimateHandBounds(t,n),this.skipped=0),n.videoOptimized&&this.skipped++,a&&a.length>0&&(a.length!==this.detectedHands&&this.detectedHands!==n.hand.maxHands||!n.hand.landmarks)&&(this.detectedHands=0,this.storedBoxes=[...a],this.storedBoxes.length>0&&(r=!0));let s=[];for(let i=0;i=n.hand.minConfidence){let b=q(y,[-1,3]),x=b.arraySync();y.dispose(),b.dispose();let _=this.transformRawCoords(x,p,l,d),w=this.getBoxForHandLandmarks(_);this.storedBoxes[i]=w;let N={landmarks:_,confidence:g,box:{topLeft:w.startPoint,bottomRight:w.endPoint}};s.push(N)}else this.storedBoxes[i]=null;y.dispose()}else{let l=d0(p0(o),p6),c={confidence:o.confidence,box:{topLeft:l.startPoint,bottomRight:l.endPoint}};s.push(c)}}return this.storedBoxes=this.storedBoxes.filter(i=>i!==null),this.detectedHands=s.length,s}calculateLandmarksBoundingBox(t){let n=t.map(i=>i[0]),r=t.map(i=>i[1]),a=[Math.min(...n),Math.min(...r)],s=[Math.max(...n),Math.max(...r)];return{startPoint:a,endPoint:s}}};var 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z2(r,n,e.hand.inputSize),s=new W2(a);return e.hand.enabled&&Te(`load model: ${e.hand.detector.modelPath.match(/\/(.*)\./)[1]}`),e.hand.landmarks&&Te(`load model: ${e.hand.skeleton.modelPath.match(/\/(.*)\./)[1]}`),s}var A6=e=>{if(!e)return[];let t=[];for(let n=0;nl.part==="leftWrist"),a=e[n].keypoints.find(l=>l.part==="rightWrist"),s=e[n].keypoints.find(l=>l.part==="nose");s&&r&&a&&r.position.yl.part==="leftShoulder"),o=e[n].keypoints.find(l=>l.part==="rightShoulder");i&&o&&t.push({body:n,gesture:`leaning ${i.position.y>o.position.y?"left":"right"}`})}return t},y6=e=>{if(!e)return[];let t=[];for(let n=0;n0){let r=e[n].mesh[35][2]-e[n].mesh[263][2];Math.abs(r)<10?t.push({face:n,gesture:"facing camera"}):t.push({face:n,gesture:`facing ${r<0?"right":"left"}`}),Math.abs(e[n].mesh[374][1]-e[n].mesh[386][1])/Math.abs(e[n].mesh[443][1]-e[n].mesh[450][1])<.2&&t.push({face:n,gesture:"blink left eye"}),Math.abs(e[n].mesh[145][1]-e[n].mesh[159][1])/Math.abs(e[n].mesh[223][1]-e[n].mesh[230][1])<.2&&t.push({face:n,gesture:"blink right eye"});let i=Math.min(100,500*Math.abs(e[n].mesh[13][1]-e[n].mesh[14][1])/Math.abs(e[n].mesh[10][1]-e[n].mesh[152][1]));i>10&&t.push({face:n,gesture:`mouth ${Math.trunc(i)}% open`});let o=e[n].mesh[152][2];Math.abs(o)>10&&t.push({face:n,gesture:`head ${o<0?"up":"down"}`})}return t},g6=e=>{if(!e)return[];let t=[];for(let n=0;n{if(!e)return[];let t=[];for(let n=0;n0){let a=r.reduce((i,o)=>i.position[2]i.position[1](c[d]=0,h))},a=function(o,l){let c=e.createShader(l);if(e.shaderSource(c,o),e.compileShader(c),!e.getShaderParameter(c,e.COMPILE_STATUS))throw new Error("Filter: GL compile failed",e.getShaderInfoLog(c));return c};this.uniform={},this.attribute={};let 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s[_]=s[_]||y(o,l),s[_]},b=function(_=null){var E,M;let w=null,N=null,T=!1;t===0?w=n:w=(E=g(a))==null?void 0:E.texture,t++,r&&!(_&f.INTERMEDIATE)?(N=null,T=t%2==0):(a=(a+1)%2,N=(M=g(a))==null?void 0:M.fbo),m.bindTexture(m.TEXTURE_2D,w),m.bindFramebuffer(m.FRAMEBUFFER,N),m.uniform1f(u.uniform.flipY,T?-1:1),m.drawArrays(m.TRIANGLES,0,6)};this.apply=function(_){if(A(_.width,_.height),t=0,n||(n=m.createTexture()),m.bindTexture(m.TEXTURE_2D,n),m.texParameteri(m.TEXTURE_2D,m.TEXTURE_WRAP_S,m.CLAMP_TO_EDGE),m.texParameteri(m.TEXTURE_2D,m.TEXTURE_WRAP_T,m.CLAMP_TO_EDGE),m.texParameteri(m.TEXTURE_2D,m.TEXTURE_MIN_FILTER,m.NEAREST),m.texParameteri(m.TEXTURE_2D,m.TEXTURE_MAG_FILTER,m.NEAREST),m.texImage2D(m.TEXTURE_2D,0,m.RGBA,m.RGBA,m.UNSIGNED_BYTE,_),i.length===0)return b(),d;for(let w=0;w(e.endsWith("\r")&&(e=e.slice(0,-1)),e))}},Jp='"',Mc=Symbol("out"),vv=Symbol("field"),Qp=Symbol("quote"),Uy=Symbol("quoteafterquote"),kv=Symbol("quoteinquote"),dv=class extends Fl{constructor(e,t){super();this.input=e,this.hasHeader=!0,this.fullColumnNames=null,this.columnNamesValidated=!1,this.columnConfigs=null,this.configuredColumnsOnly=!1,this.delimiter=",",this.delimWhitespace=!1,this.base=new hv(e),t||(t={}),this.hasHeader=t.hasHeader!==!1,this.fullColumnNames=t.columnNames,this.columnConfigs=t.columnConfigs,this.configuredColumnsOnly=t.configuredColumnsOnly,t.delimWhitespace?(k.assert(t.delimiter==null,()=>"Delimiter should not be provided when delimWhitespace is true."),this.delimWhitespace=!0,this.delimiter=" "):this.delimiter=t.delimiter?t.delimiter:","}async columnNames(){return this.columnNamesValidated||await this.setColumnNames(),this.configuredColumnsOnly?Object.keys(this.columnConfigs):this.fullColumnNames}async setColumnNames(){let e=await this.maybeReadHeaderLine();if(!this.fullColumnNames&&!e)throw new Error("Column names must be provided if there is no header line.");this.fullColumnNames&&e&&k.assert(e.length===this.fullColumnNames.length,()=>"The length of provided columnNames ("+this.fullColumnNames.length.toString()+") does not match the length of the header line read from file ("+e.length.toString()+")."),this.fullColumnNames||(this.fullColumnNames=e);let t=this.fullColumnNames.reduce((r,a)=>(r[a]=r[a]+1||1,r),{}),n=Object.keys(t).filter(r=>t[r]>1);if(k.assert(n.length===0,()=>"Duplicate column names found: "+n.toString()),this.columnConfigs){for(let r of Object.keys(this.columnConfigs))if(this.fullColumnNames.indexOf(r)===-1)throw new Error('The key "'+r+'" provided in columnConfigs does not match any of the column names ('+this.fullColumnNames.toString()+").")}this.columnNamesValidated=!0}async maybeReadHeaderLine(){if(this.hasHeader){let e=await(await this.base.iterator()).next();if(e.done)throw new Error("No data was found for CSV parsing.");let t=e.value;return this.parseRow(t,!1)}else return null}async iterator(){this.columnNamesValidated||await this.setColumnNames();let e=await this.base.iterator();return this.hasHeader&&(e=e.skip(1)),e.map(t=>this.makeDataElement(t))}makeDataElement(e){let t=this.parseRow(e),n={},r={};for(let a=0;a14||!Number.isInteger(t))throw new Error(`Invalid fftSize: it must be a power of 2 between 2 to 4 and 2 to 14, but got ${this.fftSize}`);if(this.numFrames=e.numFramesPerSpectrogram||43,this.sampleRateHz=e.sampleRateHz,this.columnTruncateLength=e.columnTruncateLength||this.fftSize,this.audioTrackConstraints=e.audioTrackConstraints,this.smoothingTimeConstant=e.smoothingTimeConstant||0,this.includeSpectrogram=e.includeSpectrogram!==!1,this.includeWaveform=e.includeWaveform===!0,!this.includeSpectrogram&&!this.includeWaveform)throw new Error("Both includeSpectrogram and includeWaveform are false. At least one type of data should be returned.")}summary(){return"microphone"}static async create(e={}){if(Q().get("IS_NODE"))throw new Error("microphone API is only supported in browser environment.");let t=new Iv(e);return await t.start(),t}async start(){try{this.stream=await navigator.mediaDevices.getUserMedia({audio:this.audioTrackConstraints==null?!0:this.audioTrackConstraints,video:!1})}catch(n){throw new Error(`Error thrown while initializing video stream: ${n.message}`)}if(!this.stream)throw new Error("Could not obtain audio from microphone.");let e=window.AudioContext||window.webkitAudioContext;if(this.audioContext=new e,!this.sampleRateHz)this.sampleRateHz=this.audioContext.sampleRate;else if(this.audioContext.sampleRate!==this.sampleRateHz)throw new Error(`Mismatch in sampling rate: Expected: ${this.sampleRateHz}; Actual: ${this.audioContext.sampleRate}`);let t=this.audioContext.createMediaStreamSource(this.stream);this.analyser=this.audioContext.createAnalyser(),this.analyser.fftSize=this.fftSize*2,this.analyser.smoothingTimeConstant=this.smoothingTimeConstant,t.connect(this.analyser),this.freqData=new Float32Array(this.fftSize),this.timeData=new Float32Array(this.fftSize)}async next(){if(this.isClosed)return{value:null,done:!0};let e,t,n=await this.getAudioData();if(this.includeSpectrogram){let r=this.flattenQueue(n.freqDataQueue);e=this.getTensorFromAudioDataArray(r,[this.numFrames,this.columnTruncateLength,1])}if(this.includeWaveform){let r=this.flattenQueue(n.timeDataQueue);t=this.getTensorFromAudioDataArray(r,[this.numFrames*this.fftSize,1])}return{value:{spectrogram:e,waveform:t},done:!1}}async capture(){return(await this.next()).value}async getAudioData(){let e=[],t=[],n=0;return new Promise(r=>{let a=setInterval(()=>{this.includeSpectrogram&&(this.analyser.getFloatFrequencyData(this.freqData),this.freqData[0]===-Infinity&&r({freqDataQueue:e,timeDataQueue:t}),e.push(this.freqData.slice(0,this.columnTruncateLength))),this.includeWaveform&&(this.analyser.getFloatTimeDomainData(this.timeData),t.push(this.timeData.slice())),++n===this.numFrames&&(clearInterval(a),r({freqDataQueue:e,timeDataQueue:t}))},this.fftSize/this.sampleRateHz*1e3)})}stop(){this.isClosed||(this.isClosed=!0,this.analyser.disconnect(),this.audioContext.close(),this.stream!=null&&this.stream.getTracks().length>0&&this.stream.getTracks()[0].stop())}toArray(){throw new Error("Can not convert infinite audio stream to array.")}getSampleRate(){return this.sampleRateHz}flattenQueue(e){let t=e[0].length,n=new Float32Array(e.length*t);return e.forEach((r,a)=>n.set(r,a*t)),n}getTensorFromAudioDataArray(e,t){let n=new Float32Array(k.sizeFromShape(t));return n.set(e,n.length-e.length),hr(n,t)}},Nv=class extends Gt{constructor(e,t){super();if(this.webcamVideoElement=e,this.webcamConfig=t,this.isClosed=!0,this.resize=!1,this.needToResize())if(this.resize=!0,this.cropSize=[this.webcamConfig.resizeHeight,this.webcamConfig.resizeWidth],this.cropBoxInd=Bt([0],"int32"),this.webcamConfig.centerCrop){let n=this.webcamConfig.resizeWidth*1/this.webcamVideoElement.width,r=this.webcamConfig.resizeHeight*1/this.webcamVideoElement.height,a=(1-n)/2,s=(1-r)/2,i=a+n,o=r+s;this.cropBox=fn([s,a,o,i],[1,4])}else this.cropBox=fn([0,0,1,1],[1,4])}summary(){return"webcam"}static async create(e,t={}){if(Q().get("IS_NODE"))throw new Error("tf.data.webcam is only supported in browser environment.");if(!e){if(e=document.createElement("video"),!t.resizeWidth||!t.resizeHeight)throw new Error("Please provide webcam video element, or resizeWidth and resizeHeight to create a hidden video element.");e.width=t.resizeWidth,e.height=t.resizeHeight}let n=new Nv(e,t);return await n.start(),n}async start(){this.webcamConfig.facingMode&&k.assert(this.webcamConfig.facingMode==="user"||this.webcamConfig.facingMode==="environment",()=>`Invalid webcam facing mode: ${this.webcamConfig.facingMode}. Please provide 'user' or 'environment'`);try{this.stream=await navigator.mediaDevices.getUserMedia({video:{deviceId:this.webcamConfig.deviceId,facingMode:this.webcamConfig.facingMode?this.webcamConfig.facingMode:"user",width:this.webcamVideoElement.width,height:this.webcamVideoElement.height}})}catch(e){throw e.message=`Error thrown while initializing video stream: ${e.message}`,e}if(!this.stream)throw new Error("Could not obtain video from webcam.");try{this.webcamVideoElement.srcObject=this.stream}catch(e){console.log(e),this.webcamVideoElement.src=window.URL.createObjectURL(this.stream)}return this.webcamVideoElement.play(),this.isClosed=!1,new Promise(e=>{this.webcamVideoElement.onloadedmetadata=()=>{e()}})}async next(){if(this.isClosed)return{value:null,done:!0};let e;try{e=Ho.fromPixels(this.webcamVideoElement)}catch(t){throw new Error(`Error thrown converting video to pixels: 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Tv{constructor(e,t){super();this.upstream=e,this.impl=new Pre(e,t)}summary(){return this.impl.summary()}async next(){return this.impl.next()}},Pre=class extends Vy{constructor(e,t){super();this.upstream=e,this.separator=t,this.carryover=""}summary(){return`${this.upstream.summary()} -> Split('${this.separator}')`}async pump(){let e=await this.upstream.next();if(e.done)return this.carryover===""?!1:(this.outputQueue.push(this.carryover),this.carryover="",!0);let t=e.value.split(this.separator);t[0]=this.carryover+t[0];for(let n of t.slice(0,-1))this.outputQueue.push(n);return this.carryover=t[t.length-1],!0}},Wre=class extends Gt{decodeUTF8(){return new Lre(this)}},Lre=class extends Tv{constructor(e){super();this.upstream=e,this.impl=new Bre(e)}summary(){return this.impl.summary()}async next(){return this.impl.next()}},Bre=class extends Vy{constructor(e){super();if(this.upstream=e,Q().get("IS_BROWSER"))this.decoder=new TextDecoder("utf-8");else{let{StringDecoder:t}=U8();this.decoder=new t("utf8")}}summary(){return`${this.upstream.summary()} -> Utf8`}async pump(){let e=await this.upstream.next(),t;if(e.done)return!1;t=e.value;let n;return Q().get("IS_BROWSER")?n=this.decoder.decode(t,{stream:!0}):n=this.decoder.write(Buffer.from(t.buffer)),this.outputQueue.push(n),!0}},Ev=class extends Wre{constructor(e,t={}){super();this.file=e,this.options=t,k.assert(e instanceof Uint8Array||(Q().get("IS_BROWSER")?e instanceof File||e instanceof Blob:!1),()=>"FileChunkIterator only supports File, Blob and Uint8Array right now."),this.offset=t.offset||0,this.chunkSize=t.chunkSize||1024*1024}summary(){return`FileChunks ${this.file}`}async next(){return this.offset>=(this.file instanceof Uint8Array?this.file.byteLength:this.file.size)?{value:null,done:!0}:{value:await new Promise((e,t)=>{let n=this.offset+this.chunkSize;if(this.file instanceof Uint8Array)e(new Uint8Array(this.file.slice(this.offset,n)));else{let r=new FileReader;r.onload=s=>{let i=r.result;if(i instanceof ArrayBuffer&&(i=new Uint8Array(i)),!(i instanceof Uint8Array))return t(new TypeError("FileReader returned unknown type."));e(i)},r.onabort=s=>t(new Error("Aborted")),r.onerror=s=>t(new Error(s.type));let a=this.file.slice(this.offset,n);r.readAsArrayBuffer(a)}this.offset=n}),done:!1}}};async function Ure(e,t={}){let n,r;typeof e=="string"?n=e:(n=e.url,r=Vre(e));let a=await k.fetch(n,r);if(a.ok){let s=new Uint8Array(await a.arrayBuffer());return new Ev(s,t)}else throw new Error(a.statusText)}var Vre=e=>({method:e.method,headers:e.headers,body:e.body,mode:e.mode,credentials:e.credentials,cache:e.cache,redirect:e.redirect,referrer:e.referrer,integrity:e.integrity});function Cv(e){return typeof e=="string"&&e.substr(0,7)==="file://"}var pv=class extends Sv{constructor(e,t={}){super();this.input=e,this.options=t}async iterator(){if(Cv(this.input)&&Q().get("IS_NODE")){let e=require("fs");this.input=e.readFileSync(this.input.substr(7))}return new Ev(this.input,this.options)}},fv=class extends Sv{constructor(e,t={}){super();this.url=e,this.fileOptions=t}async iterator(){return Cv(this.url)?new pv(this.url,this.fileOptions).iterator():Ure(this.url,this.fileOptions)}};function ore(e,t={}){return new dv(new fv(e),t)}function lre(e){let t=By(e);return $n(async()=>t)}function ure(e){return $n(async()=>{let t=await e();return By(()=>t.next())})}async function cre(e,t){return Nv.create(e,t)}async function hre(e){return Iv.create(e)}var dre="3.1.0",jre={tfjs:j8,"tfjs-core":G8,"tfjs-data":H8,"tfjs-layers":q8,"tfjs-converter":X8,"tfjs-backend-cpu":Rx,"tfjs-backend-webgl":Jw,"tfjs-backend-wasm":Vb};var un={name:"humangl",priority:99,canvas:null,gl:null,width:1024,height:1024,webGLattr:{alpha:!1,antialias:!1,premultipliedAlpha:!1,preserveDrawingBuffer:!1,depth:!1,stencil:!1,failIfMajorPerformanceCaveat:!1,desynchronized:!0}};function Rv(){if(!uf(un.name)){Te("backend registration:",un.name);try{un.canvas=typeof OffscreenCanvas!="undefined"?new 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r=0;r({startEndTensor:e,startPoint:Ee(e,[0,0],[-1,2]),endPoint:Ee(e,[0,2],[-1,2])});function qre(e,t,n){let r=Ee(e,[0,1],[-1,2]),a=se(r,t),s=Ee(e,[0,3],[-1,2]),i=be(s,n),o=be(a,n),l=be(i,2),c=Ae(o,l),u=se(o,l),h=L(c,n),d=L(u,n);return Jo([h,d],1)}var Mv=class{constructor(t,n){this.blazeFaceModel=t,this.width=n.face.detector.inputSize,this.height=n.face.detector.inputSize,this.anchorsData=Gre(n.face.detector.inputSize),this.anchors=fn(this.anchorsData),this.inputSize=Bt([this.width,this.height]),this.config=n,this.scaleFaces=.8}async getBoundingBoxes(t){if(!t||t.isDisposedInternal||t.shape.length!==4||t.shape[1]<1||t.shape[2]<1)return null;let[n,r,a]=W(()=>{let h=t.resizeBilinear([this.width,this.height]),d=Ae(h.div(127.5),1),p=this.blazeFaceModel.predict(d),f;if(Array.isArray(p)){let g=p.sort((w,N)=>w.size-N.size),b=rt([g[0],g[2]],2),x=rt([g[1],g[3]],2);f=rt([x,b],1).squeeze(0)}else f=p.squeeze();let 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n=[e.startPoint[0]*t[0],e.startPoint[1]*t[1]],r=[e.endPoint[0]*t[0],e.endPoint[1]*t[1]];return{startPoint:n,endPoint:r}}function $c(e){return[Math.abs(e.endPoint[0]-e.startPoint[0]),Math.abs(e.endPoint[1]-e.startPoint[1])]}function Oc(e){return[e.startPoint[0]+(e.endPoint[0]-e.startPoint[0])/2,e.startPoint[1]+(e.endPoint[1]-e.startPoint[1])/2]}function jy(e,t,n){let r=t.shape[1],a=t.shape[2],s=[[e.startPoint[1]/r,e.startPoint[0]/a,e.endPoint[1]/r,e.endPoint[0]/a]];return Je.cropAndResize(t,s,[0],n)}function e0(e,t=1.5){let n=Oc(e),r=$c(e),a=[t*r[0]/2,t*r[1]/2],s=[n[0]-a[0],n[1]-a[1]],i=[n[0]+a[0],n[1]+a[1]];return{startPoint:s,endPoint:i,landmarks:e.landmarks}}function t0(e){let t=Oc(e),n=$c(e),a=Math.max(...n)/2,s=[t[0]-a,t[1]-a],i=[t[0]+a,t[1]+a];return{startPoint:s,endPoint:i,landmarks:e.landmarks}}var n0=[[1,0,0],[0,1,0],[0,0,1]];function Xre(e){return e-2*Math.PI*Math.floor((e+Math.PI)/(2*Math.PI))}function Dv(e,t){let n=Math.PI/2-Math.atan2(-(t[1]-e[1]),t[0]-e[0]);return 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Sae(e,t,n){return{score:e.score,keypoints:e.keypoints.map(({score:r,part:a,position:s})=>({score:r,part:a,position:{x:s.x*n,y:s.y*t}}))}}function i6(e,[t,n]){let r=e.squeeze(0),a=r.resizeBilinear([t,n]);return r.dispose(),a}function C2(e,[t,n],[r,a]){return e.map(i=>Sae(i,t/r,n/a))}async function Tae(e,t,n){return new Promise(async r=>{let a=e.shape[1],s=e.shape[2],i=await s6([t.heatmapScores,t.offsets,t.displacementFwd,t.displacementBwd]),o=i[0],l=i[1],c=i[2],u=i[3],h=await a6(o,l,c,u,n),d=C2(h,[a,s],[n.body.inputSize,n.body.inputSize]);r(d)})}async function Eae(e,t,n){return new Promise(async r=>{let a=e.shape[1],s=e.shape[2],o=[await n6(t.heatmapScores,t.offsets,n)],l=C2(o,[a,s],[n.body.inputSize,n.body.inputSize]);r(l)})}var F2=class{constructor(t){this.baseModel=t}async estimatePoses(t,n){let r=i6(t,[n.body.inputSize,n.body.inputSize]),a=this.baseModel.predict(r,n),s=n.body.maxDetections<2?await Eae(t,a,n):await Tae(t,a,n);return a.heatmapScores.dispose(),a.offsets.dispose(),a.displacementFwd.dispose(),a.displacementBwd.dispose(),r.dispose(),s}dispose(){this.baseModel.dispose()}};async function M2(e){let t=await Tt(e.body.modelPath),n=new w2(t);return Te(`load model: ${e.body.modelPath.match(/\/(.*)\./)[1]}`),new F2(n)}var P2={};ur(P2,{HandPose:()=>W2,load:()=>B2});function h0(e){return[Math.abs(e.endPoint[0]-e.startPoint[0]),Math.abs(e.endPoint[1]-e.startPoint[1])]}function Dc(e){return[e.startPoint[0]+(e.endPoint[0]-e.startPoint[0])/2,e.startPoint[1]+(e.endPoint[1]-e.startPoint[1])/2]}function o6(e,t,n){let r=t.shape[1],a=t.shape[2],s=[[e.startPoint[1]/r,e.startPoint[0]/a,e.endPoint[1]/r,e.endPoint[0]/a]];return Je.cropAndResize(t,s,[0],n)}function l6(e,t){let n=[e.startPoint[0]*t[0],e.startPoint[1]*t[1]],r=[e.endPoint[0]*t[0],e.endPoint[1]*t[1]],a=e.palmLandmarks.map(s=>[s[0]*t[0],s[1]*t[1]]);return{startPoint:n,endPoint:r,palmLandmarks:a,confidence:e.confidence}}function d0(e,t=1.5){let n=Dc(e),r=h0(e),a=[t*r[0]/2,t*r[1]/2],s=[n[0]-a[0],n[1]-a[1]],i=[n[0]+a[0],n[1]+a[1]];return{startPoint:s,endPoint:i,palmLandmarks:e.palmLandmarks}}function p0(e){let t=Dc(e),n=h0(e),a=Math.max(...n)/2,s=[t[0]-a,t[1]-a],i=[t[0]+a,t[1]+a];return{startPoint:s,endPoint:i,palmLandmarks:e.palmLandmarks}}var $2=class{constructor(t,n,r){this.model=t,this.anchors=r.map(a=>[a.x_center,a.y_center]),this.anchorsTensor=fn(this.anchors),this.inputSizeTensor=Bt([n,n]),this.doubleInputSizeTensor=Bt([n*2,n*2])}normalizeBoxes(t){return W(()=>{let n=Ee(t,[0,0],[-1,2]),r=Ee(t,[0,2],[-1,2]),a=se(be(n,this.inputSizeTensor),this.anchorsTensor),s=be(r,this.doubleInputSizeTensor),i=L(Ae(a,s),this.inputSizeTensor),o=L(se(a,s),this.inputSizeTensor);return Jo([i,o],1)})}normalizeLandmarks(t,n){return W(()=>{let r=se(be(t.reshape([-1,7,2]),this.inputSizeTensor),this.anchors[n]);return L(r,this.inputSizeTensor)})}async getBoxes(t,n){let r=this.model.predict(t),a=r.squeeze();r.dispose();let s=W(()=>vn(Ee(a,[0,0],[-1,1])).squeeze()),i=s.dataSync(),o=Ee(a,[0,1],[-1,4]),l=this.normalizeBoxes(o);o.dispose();let c=await Je.nonMaxSuppressionAsync(l,i,n.hand.maxHands,n.hand.iouThreshold,n.hand.scoreThreshold),u=c.arraySync();s.dispose(),c.dispose();let h=[];for(let d of u)if(i[d]>=n.hand.minConfidence){let p=Ee(l,[d,0],[1,-1]),f=Ee(a,[d,5],[1,14]),m=W(()=>this.normalizeLandmarks(f,d).reshape([-1,2]));f.dispose(),h.push({box:p,palmLandmarks:m,confidence:i[d]})}return a.dispose(),l.dispose(),h}async estimateHandBounds(t,n){let r=t.shape[1],a=t.shape[2],s=W(()=>t.resizeBilinear([n.hand.inputSize,n.hand.inputSize]).div(127.5).sub(1)),i=await this.getBoxes(s,n);s.dispose();let o=[];if(!i||i.length===0)return o;for(let l of i){let c=l.box.dataSync(),u=c.slice(0,2),h=c.slice(2,4),d=l.palmLandmarks.arraySync();l.box.dispose(),l.palmLandmarks.dispose(),o.push(l6({startPoint:u,endPoint:h,palmLandmarks:d,confidence:l.confidence},[a/n.hand.inputSize,r/n.hand.inputSize]))}return o}};function Cae(e){return e-2*Math.PI*Math.floor((e+Math.PI)/(2*Math.PI))}function u6(e,t){let n=Math.PI/2-Math.atan2(-(t[1]-e[1]),t[0]-e[0]);return Cae(n)}var c6=(e,t)=>[[1,0,e],[0,1,t],[0,0,1]];function Wa(e,t){let n=0;for(let r=0;rD2([...s,1],n)),a=this.calculateLandmarksBoundingBox(r);return d0(p0(a),Fae)}getBoxForHandLandmarks(t){let n=this.calculateLandmarksBoundingBox(t),r=d0(p0(n),p6);r.palmLandmarks=[];for(let a=0;a[i[0]*(p[0]-this.inputSize/2),i[1]*(p[1]-this.inputSize/2),i[2]*p[2]]),l=O2(r,[0,0]),c=o.map(p=>[...D2(p,l),p[2]]),u=d6(a),h=[...Dc(n),1],d=[Wa(h,u[0]),Wa(h,u[1])];return c.map(p=>[p[0]+d[0],p[1]+d[1],p[2]])}async estimateHands(t,n){let r=!1,a;(this.skipped===0||this.skipped>n.hand.skipFrames||!n.hand.landmarks||!n.videoOptimized)&&(a=await this.handDetector.estimateHandBounds(t,n),this.skipped=0),n.videoOptimized&&this.skipped++,a&&a.length>0&&(a.length!==this.detectedHands&&this.detectedHands!==n.hand.maxHands||!n.hand.landmarks)&&(this.detectedHands=0,this.storedBoxes=[...a],this.storedBoxes.length>0&&(r=!0));let s=[];for(let i=0;i=n.hand.minConfidence){let b=q(y,[-1,3]),x=b.arraySync();y.dispose(),b.dispose();let _=this.transformRawCoords(x,p,l,d),w=this.getBoxForHandLandmarks(_);this.storedBoxes[i]=w;let N={landmarks:_,confidence:g,box:{topLeft:w.startPoint,bottomRight:w.endPoint}};s.push(N)}else this.storedBoxes[i]=null;y.dispose()}else{let l=d0(p0(o),p6),c={confidence:o.confidence,box:{topLeft:l.startPoint,bottomRight:l.endPoint}};s.push(c)}}return this.storedBoxes=this.storedBoxes.filter(i=>i!==null),this.detectedHands=s.length,s}calculateLandmarksBoundingBox(t){let n=t.map(i=>i[0]),r=t.map(i=>i[1]),a=[Math.min(...n),Math.min(...r)],s=[Math.max(...n),Math.max(...r)];return{startPoint:a,endPoint:s}}};var 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z2(r,n,e.hand.inputSize),s=new W2(a);return e.hand.enabled&&Te(`load model: ${e.hand.detector.modelPath.match(/\/(.*)\./)[1]}`),e.hand.landmarks&&Te(`load model: ${e.hand.skeleton.modelPath.match(/\/(.*)\./)[1]}`),s}var A6=e=>{if(!e)return[];let t=[];for(let n=0;nl.part==="leftWrist"),a=e[n].keypoints.find(l=>l.part==="rightWrist"),s=e[n].keypoints.find(l=>l.part==="nose");s&&r&&a&&r.position.yl.part==="leftShoulder"),o=e[n].keypoints.find(l=>l.part==="rightShoulder");i&&o&&t.push({body:n,gesture:`leaning ${i.position.y>o.position.y?"left":"right"}`})}return t},y6=e=>{if(!e)return[];let t=[];for(let n=0;n0){let r=e[n].mesh[35][2]-e[n].mesh[263][2];Math.abs(r)<10?t.push({face:n,gesture:"facing camera"}):t.push({face:n,gesture:`facing ${r<0?"right":"left"}`}),Math.abs(e[n].mesh[374][1]-e[n].mesh[386][1])/Math.abs(e[n].mesh[443][1]-e[n].mesh[450][1])<.2&&t.push({face:n,gesture:"blink left eye"}),Math.abs(e[n].mesh[145][1]-e[n].mesh[159][1])/Math.abs(e[n].mesh[223][1]-e[n].mesh[230][1])<.2&&t.push({face:n,gesture:"blink right eye"});let i=Math.min(100,500*Math.abs(e[n].mesh[13][1]-e[n].mesh[14][1])/Math.abs(e[n].mesh[10][1]-e[n].mesh[152][1]));i>10&&t.push({face:n,gesture:`mouth ${Math.trunc(i)}% open`});let o=e[n].mesh[152][2];Math.abs(o)>10&&t.push({face:n,gesture:`head ${o<0?"up":"down"}`})}return t},g6=e=>{if(!e)return[];let t=[];for(let n=0;n{if(!e)return[];let t=[];for(let n=0;n0){let a=r.reduce((i,o)=>i.position[2]i.position[1](c[d]=0,h))},a=function(o,l){let c=e.createShader(l);if(e.shaderSource(c,o),e.compileShader(c),!e.getShaderParameter(c,e.COMPILE_STATUS))throw new Error("Filter: GL compile failed",e.getShaderInfoLog(c));return c};this.uniform={},this.attribute={};let 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e.reduce((n,r)=>(Object.keys(r||{}).forEach(a=>{let s=n[a],i=r[a];Array.isArray(s)&&Array.isArray(i)?n[a]=s.concat(...i):t(s)&&t(i)?n[a]=zc(s,i):n[a]=i}),n),{})}var j2=class{constructor(t={}){this.tf=uh,this.package=V2,this.version=U2,this.config=zc(b6,t),this.fx=null,this.state="idle",this.numTensors=0,this.analyzeMemoryLeaks=!1,this.checkSanity=!1,this.firstRun=!0,this.perf={},this.models={facemesh:null,posenet:null,handpose:null,iris:null,age:null,gender:null,emotion:null},this.facemesh=B6,this.age=a2,this.gender=o2,this.emotion=p2,this.body=R2,this.hand=P2}profile(){return this.config.profile?t2:{}}analyze(...t){if(!this.analyzeMemoryLeaks)return;let n=this.tf.engine().state.numTensors,r=this.numTensors;this.numTensors=n;let a=n-r;a!==0&&Te(...t,a)}sanity(t){if(!this.checkSanity)return null;if(!t)return"input is not defined";if(this.tf.ENV.flags.IS_NODE&&!(t instanceof this.tf.Tensor))return"input must be a tensor";try{this.tf.getBackend()}catch(n){return"backend not loaded"}return null}simmilarity(t,n){return this.config.face.embedding.enabled?Gv(t,n):0}async load(t=null){this.state="load";let n=dt();t&&(this.config=zc(this.config,t)),this.firstRun&&(Te(`version: ${this.version} TensorFlow/JS version: ${this.tf.version_core}`),await this.checkBackend(!0),this.tf.ENV.flags.IS_BROWSER&&(Te("configuration:",this.config),Te("tf flags:",this.tf.ENV.flags)));let r=this.config.face.detector.modelPath.includes("faceboxes")?n2:B6;this.config.async?[this.models.face,this.models.age,this.models.gender,this.models.emotion,this.models.embedding,this.models.posenet,this.models.handpose]=await Promise.all([this.models.face||(this.config.face.enabled?r.load(this.config):null),this.models.age||(this.config.face.enabled&&this.config.face.age.enabled?s2(this.config):null),this.models.gender||(this.config.face.enabled&&this.config.face.gender.enabled?h2(this.config):null),this.models.emotion||(this.config.face.enabled&&this.config.face.emotion.enabled?A2(this.config):null),this.models.embedding||(this.config.face.enabled&&this.config.face.embedding.enabled?g2(this.config):null),this.models.posenet||(this.config.body.enabled?M2(this.config):null),this.models.handpose||(this.config.hand.enabled?B2(this.config):null)]):(this.config.face.enabled&&!this.models.face&&(this.models.face=await r.load(this.config)),this.config.face.enabled&&this.config.face.age.enabled&&!this.models.age&&(this.models.age=await s2(this.config)),this.config.face.enabled&&this.config.face.gender.enabled&&!this.models.gender&&(this.models.gender=await h2(this.config)),this.config.face.enabled&&this.config.face.emotion.enabled&&!this.models.emotion&&(this.models.emotion=await A2(this.config)),this.config.face.enabled&&this.config.face.embedding.enabled&&!this.models.embedding&&(this.models.embedding=await g2(this.config)),this.config.body.enabled&&!this.models.posenet&&(this.models.posenet=await M2(this.config)),this.config.hand.enabled&&!this.models.handpose&&(this.models.handpose=await B2(this.config))),this.firstRun&&(Te("tf engine state:",this.tf.engine().state.numBytes,"bytes",this.tf.engine().state.numTensors,"tensors"),this.firstRun=!1);let a=Math.trunc(dt()-n);a>(this.perf.load||0)&&(this.perf.load=a)}async checkBackend(t=!1){if(this.config.backend&&this.config.backend!==""&&t||this.tf.getBackend()!==this.config.backend){let n=dt();this.state="backend",Te("setting backend:",this.config.backend),this.config.backend==="wasm"&&(Te("settings wasm path:",this.config.wasmPath),this.tf.setWasmPaths(this.config.wasmPath),await this.tf.env().getAsync("WASM_HAS_SIMD_SUPPORT")||Te("warning: wasm simd support is not enabled")),this.config.backend==="humangl"&&Rv();try{await this.tf.setBackend(this.config.backend)}catch(r){Te("error: cannot set backend:",this.config.backend,r)}if(this.tf.enableProdMode(),this.tf.getBackend()==="webgl"){this.config.deallocate&&(Te("changing webgl: WEBGL_DELETE_TEXTURE_THRESHOLD:",this.config.deallocate),this.tf.ENV.set("WEBGL_DELETE_TEXTURE_THRESHOLD",this.config.deallocate?0:-1)),this.tf.ENV.set("WEBGL_FORCE_F16_TEXTURES",!0),this.tf.ENV.set("WEBGL_PACK_DEPTHWISECONV",!0);let r=await this.tf.backend().getGPGPUContext().gl;Te(`gl version:${r.getParameter(r.VERSION)} renderer:${r.getParameter(r.RENDERER)}`)}await this.tf.ready(),this.perf.backend=Math.trunc(dt()-n)}}async detectFace(t){var c,u,h,d,p,f;let n,r,a,s,i,o=[];this.state="run:face",n=dt();let l=await((c=this.models.face)==null?void 0:c.estimateFaces(t,this.config));this.perf.face=Math.trunc(dt()-n);for(let m of l){if(this.analyze("Get Face"),!m.image||m.image.isDisposedInternal){Te("Face object is disposed:",m.image);continue}this.analyze("Start Age:"),this.config.async?r=this.config.face.age.enabled?i2(m.image,this.config):{}:(this.state="run:age",n=dt(),r=this.config.face.age.enabled?await i2(m.image,this.config):{},this.perf.age=Math.trunc(dt()-n)),this.analyze("Start Gender:"),this.config.async?a=this.config.face.gender.enabled?d2(m.image,this.config):{}:(this.state="run:gender",n=dt(),a=this.config.face.gender.enabled?await d2(m.image,this.config):{},this.perf.gender=Math.trunc(dt()-n)),this.analyze("Start Emotion:"),this.config.async?s=this.config.face.emotion.enabled?y2(m.image,this.config):{}:(this.state="run:emotion",n=dt(),s=this.config.face.emotion.enabled?await y2(m.image,this.config):{},this.perf.emotion=Math.trunc(dt()-n)),this.analyze("End Emotion:"),this.analyze("Start Embedding:"),this.config.async?i=this.config.face.embedding.enabled?x2(m.image,this.config):{}:(this.state="run:embedding",n=dt(),i=this.config.face.embedding.enabled?await x2(m.image,this.config):{},this.perf.embedding=Math.trunc(dt()-n)),this.analyze("End Emotion:"),this.config.async&&([r,a,s,i]=await Promise.all([r,a,s,i])),this.analyze("Finish Face:"),!this.config.face.iris.enabled&&((u=m==null?void 0:m.annotations)==null?void 0:u.leftEyeIris)&&((h=m==null?void 0:m.annotations)==null?void 0:h.rightEyeIris)&&(delete m.annotations.leftEyeIris,delete m.annotations.rightEyeIris);let A=((d=m.annotations)==null?void 0:d.leftEyeIris)&&((p=m.annotations)==null?void 0:p.rightEyeIris)?11.7*Math.max(Math.abs(m.annotations.leftEyeIris[3][0]-m.annotations.leftEyeIris[1][0]),Math.abs(m.annotations.rightEyeIris[4][1]-m.annotations.rightEyeIris[2][1])):0;o.push({confidence:m.confidence,box:m.box,mesh:m.mesh,boxRaw:m.boxRaw,meshRaw:m.meshRaw,annotations:m.annotations,age:r.age,gender:a.gender,genderConfidence:a.confidence,emotion:s,embedding:i,iris:A!==0?Math.trunc(A)/100:0}),(f=m.image)==null||f.dispose(),this.analyze("End Face")}return this.analyze("End FaceMesh:"),this.config.async&&(this.perf.face&&delete this.perf.face,this.perf.age&&delete this.perf.age,this.perf.gender&&delete this.perf.gender,this.perf.emotion&&delete this.perf.emotion),o}async detect(t,n={}){return new Promise(async r=>{var d,p,f,m;this.state="config";let a;this.config=zc(this.config,n),this.state="check";let s=this.sanity(t);s&&(Te(s,t),r({error:s}));let i,o,l,c=dt();await this.checkBackend(),await this.load(),this.config.scoped&&this.tf.engine().startScope(),this.analyze("Start Scope:"),a=dt();let u=_6(t,this.config);if(!u||!u.tensor){Te("could not convert input to tensor"),r({error:"could not convert input to tensor"});return}this.perf.image=Math.trunc(dt()-a),this.analyze("Get Image:"),this.config.async?(l=this.config.face.enabled?this.detectFace(u.tensor):[],this.perf.face&&delete this.perf.face):(this.state="run:face",a=dt(),l=this.config.face.enabled?await this.detectFace(u.tensor):[],this.perf.face=Math.trunc(dt()-a)),this.analyze("Start Body:"),this.config.async?(i=this.config.body.enabled?(d=this.models.posenet)==null?void 0:d.estimatePoses(u.tensor,this.config):[],this.perf.body&&delete this.perf.body):(this.state="run:body",a=dt(),i=this.config.body.enabled?await((p=this.models.posenet)==null?void 0:p.estimatePoses(u.tensor,this.config)):[],this.perf.body=Math.trunc(dt()-a)),this.analyze("End Body:"),this.analyze("Start Hand:"),this.config.async?(o=this.config.hand.enabled?(f=this.models.handpose)==null?void 0:f.estimateHands(u.tensor,this.config):[],this.perf.hand&&delete this.perf.hand):(this.state="run:hand",a=dt(),o=this.config.hand.enabled?await((m=this.models.handpose)==null?void 0:m.estimateHands(u.tensor,this.config)):[],this.perf.hand=Math.trunc(dt()-a)),this.analyze("End Hand:"),this.config.async&&([l,i,o]=await Promise.all([l,i,o])),u.tensor.dispose(),this.config.scoped&&this.tf.engine().endScope(),this.analyze("End Scope:");let h=[];this.config.gesture.enabled&&(a=dt(),h=[...y6(l),...A6(i),...x6(o),...g6(l)],this.config.async?this.perf.gesture&&delete this.perf.gesture:this.perf.gesture=Math.trunc(dt()-a)),this.perf.total=Math.trunc(dt()-c),this.state="idle",r({face:l,body:i,hand:o,gesture:h,performance:this.perf,canvas:u.canvas})})}async warmupBitmap(){let t=(a,s="application/octet-stream")=>fetch(`data:${s};base64,${a}`).then(i=>i.blob()),n,r;switch(this.config.warmup){case"face":n=await t(f0);break;case"full":n=await t(m0);break;default:n=null}if(n){let a=await createImageBitmap(n);r=await this.detect(a,this.config),a.close()}return r}async warmupCanvas(){return new Promise(t=>{let n,r=0;switch(this.config.warmup){case"face":r=256,n="data:image/jpeg;base64,"+f0;break;case"full":r=1200,n="data:image/jpeg;base64,"+m0;break;default:n=null}let a=new Image(r,r);a.onload=()=>{let s=typeof OffscreenCanvas!="undefined"?new OffscreenCanvas(r,r):document.createElement("canvas");s.width=r,s.height=r;let i=s.getContext("2d");i==null||i.drawImage(a,0,0);let o=i==null?void 0:i.getImageData(0,0,r,r);this.detect(o,this.config).then(l=>t(l))},n?a.src=n:t(null)})}async warmupNode(){let t=i=>Buffer.from(i,"base64"),n=this.config.warmup==="face"?t(f0):t(m0),r=(void 0).decodeJpeg(n),a=r.expandDims(0);this.tf.dispose(r);let s=await this.detect(a,this.config);return this.tf.dispose(a),s}async warmup(t){let n=dt();t&&(this.config=zc(this.config,t));let r=this.config.videoOptimized;this.config.videoOptimized=!1;let a;typeof createImageBitmap=="function"?a=await this.warmupBitmap():typeof Image!="undefined"?a=await this.warmupCanvas():a=await this.warmupNode(),this.config.videoOptimized=r;let s=dt();return Te("Warmup",this.config.warmup,Math.round(s-n),"ms",a),a}};return zae;})(); /** * @license * Copyright 2017 Google LLC. All Rights Reserved. diff --git a/dist/human.ts.map b/dist/human.ts.map index 31080eb7..66bf293c 100644 --- a/dist/human.ts.map +++ b/dist/human.ts.map @@ -1,7 +1,7 @@ { "version": 3, "sources": ["../src/blazeface/facemesh.ts", "../src/posenet/keypoints.ts", "../src/human.ts", "../src/log.ts", "../node_modules/node-fetch/browser.js", "../node_modules/@tensorflow/tfjs-core/node_modules/seedrandom/lib/alea.js", "../node_modules/@tensorflow/tfjs-core/node_modules/seedrandom/lib/xor128.js", "../node_modules/@tensorflow/tfjs-core/node_modules/seedrandom/lib/xorwow.js", "../node_modules/@tensorflow/tfjs-core/node_modules/seedrandom/lib/xorshift7.js", "../node_modules/@tensorflow/tfjs-core/node_modules/seedrandom/lib/xor4096.js", "../node_modules/@tensorflow/tfjs-core/node_modules/seedrandom/lib/tychei.js", "(disabled):crypto", "../node_modules/@tensorflow/tfjs-core/node_modules/seedrandom/seedrandom.js", "../node_modules/@tensorflow/tfjs-core/node_modules/seedrandom/index.js", "../node_modules/@tensorflow/tfjs-backend-cpu/node_modules/seedrandom/lib/alea.js", "../node_modules/@tensorflow/tfjs-backend-cpu/node_modules/seedrandom/lib/xor128.js", "../node_modules/@tensorflow/tfjs-backend-cpu/node_modules/seedrandom/lib/xorwow.js", "../node_modules/@tensorflow/tfjs-backend-cpu/node_modules/seedrandom/lib/xorshift7.js", "../node_modules/@tensorflow/tfjs-backend-cpu/node_modules/seedrandom/lib/xor4096.js", "../node_modules/@tensorflow/tfjs-backend-cpu/node_modules/seedrandom/lib/tychei.js", "../node_modules/@tensorflow/tfjs-backend-cpu/node_modules/seedrandom/seedrandom.js", "../node_modules/@tensorflow/tfjs-backend-cpu/node_modules/seedrandom/index.js", "(disabled):path", "(disabled):worker_threads", "(disabled):perf_hooks", "../node_modules/@tensorflow/tfjs-backend-wasm/wasm-out/tfjs-backend-wasm-threaded-simd.js", "../node_modules/@tensorflow/tfjs-backend-wasm/wasm-out/tfjs-backend-wasm.js", "../node_modules/seedrandom/lib/alea.js", 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"../node_modules/@tensorflow/tfjs-core/src/tensor.ts", "../node_modules/@tensorflow/tfjs-core/src/tensor_util.ts", "../node_modules/@tensorflow/tfjs-core/src/types.ts", "../node_modules/@tensorflow/tfjs-core/src/engine.ts", "../node_modules/@tensorflow/tfjs-core/src/device_util.ts", "../node_modules/@tensorflow/tfjs-core/src/flags.ts", "../node_modules/@tensorflow/tfjs-core/src/tensor_util_env.ts", "../node_modules/@tensorflow/tfjs-core/src/ops/operation.ts", "../node_modules/@tensorflow/tfjs-core/src/ops/complex.ts", "../node_modules/@tensorflow/tfjs-core/src/ops/tensor_ops_util.ts", "../node_modules/@tensorflow/tfjs-core/src/ops/tensor.ts", "../node_modules/@tensorflow/tfjs-core/src/io/types.ts", "../node_modules/@tensorflow/tfjs-core/src/io/io_utils.ts", "../node_modules/@tensorflow/tfjs-core/src/io/router_registry.ts", "../node_modules/@tensorflow/tfjs-core/src/io/indexed_db.ts", "../node_modules/@tensorflow/tfjs-core/src/io/local_storage.ts", "../node_modules/@tensorflow/tfjs-core/src/io/model_management.ts", "../node_modules/@tensorflow/tfjs-core/src/platforms/platform_browser.ts", "../node_modules/@tensorflow/tfjs-core/src/platforms/platform_node.ts", "../node_modules/@tensorflow/tfjs-core/src/ops/buffer.ts", "../node_modules/@tensorflow/tfjs-core/src/ops/cast.ts", "../node_modules/@tensorflow/tfjs-core/src/ops/clone.ts", "../node_modules/@tensorflow/tfjs-core/src/ops/print.ts", "../node_modules/@tensorflow/tfjs-core/src/base_side_effects.ts", "../node_modules/@tensorflow/tfjs-core/src/io/io.ts", "../node_modules/@tensorflow/tfjs-core/src/io/browser_files.ts", "../node_modules/@tensorflow/tfjs-core/src/io/progress.ts", "../node_modules/@tensorflow/tfjs-core/src/io/weights_loader.ts", "../node_modules/@tensorflow/tfjs-core/src/io/http.ts", "../node_modules/@tensorflow/tfjs-core/src/io/passthrough.ts", "../node_modules/@tensorflow/tfjs-core/src/math.ts", "../node_modules/@tensorflow/tfjs-core/src/ops/mat_mul.ts", "../node_modules/@tensorflow/tfjs-core/src/ops/one_hot.ts", "../node_modules/@tensorflow/tfjs-core/src/ops/transpose.ts", "../node_modules/@tensorflow/tfjs-core/src/ops/confusion_matrix.ts", "../node_modules/@tensorflow/tfjs-core/src/ops/browser.ts", "../node_modules/@tensorflow/tfjs-core/src/ops/tensor3d.ts", "../node_modules/@tensorflow/tfjs-core/src/ops/gather_nd_util.ts", "../node_modules/@tensorflow/tfjs-core/src/ops/scatter_nd_util.ts", "../node_modules/@tensorflow/tfjs-core/src/ops/slice_util.ts", "../node_modules/@tensorflow/tfjs-core/src/serialization.ts", "../node_modules/@tensorflow/tfjs-core/src/test_util.ts", "../node_modules/@tensorflow/tfjs-core/src/version.ts", "../node_modules/@tensorflow/tfjs-core/src/globals.ts", "../node_modules/@tensorflow/tfjs-core/src/ops/add.ts", "../node_modules/@tensorflow/tfjs-core/src/ops/floorDiv.ts", "../node_modules/@tensorflow/tfjs-core/src/ops/div.ts", "../node_modules/@tensorflow/tfjs-core/src/ops/mul.ts", 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"../node_modules/@tensorflow/tfjs-data/src/sources/url_data_source.ts", "../node_modules/@tensorflow/tfjs-data/src/readers.ts", "../node_modules/@tensorflow/tfjs-data/src/version.ts", "../src/tfjs/tf-browser.ts", "../src/tfjs/backend.ts", "../src/blazeface/blazeface.ts", "../src/blazeface/box.ts", "../src/blazeface/util.ts", "../src/blazeface/coords.ts", "../src/blazeface/facepipeline.ts", "../src/faceboxes/faceboxes.ts", "../src/profile.ts", "../src/age/age.ts", "../src/gender/gender.ts", "../src/emotion/emotion.ts", "../src/embedding/embedding.ts", "../src/posenet/posenet.ts", "../src/posenet/modelBase.ts", "../src/posenet/heapSort.ts", "../src/posenet/buildParts.ts", "../src/posenet/decodePose.ts", "../src/posenet/vectors.ts", "../src/posenet/decoders.ts", "../src/posenet/decodeMultiple.ts", "../src/posenet/util.ts", "../src/handpose/handpose.ts", "../src/handpose/box.ts", "../src/handpose/handdetector.ts", "../src/handpose/util.ts", "../src/handpose/handpipeline.ts", "../src/handpose/anchors.ts", "../src/gesture/gesture.ts", "../src/imagefx.js", "../src/image.ts", "../config.js", "../src/sample.ts"], - "sourcesContent": ["import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as blazeface from './blazeface';\nimport * as facepipeline from './facepipeline';\nimport * as coords from './coords';\n\nexport class MediaPipeFaceMesh {\n facePipeline: any;\n config: any;\n\n constructor(blazeFace, blazeMeshModel, irisModel, config) {\n this.facePipeline = new facepipeline.Pipeline(blazeFace, blazeMeshModel, irisModel, config);\n this.config = config;\n }\n\n async estimateFaces(input, config) {\n const predictions = await this.facePipeline.predict(input, config);\n const results: Array<{}> = [];\n for (const prediction of (predictions || [])) {\n if (prediction.isDisposedInternal) continue; // guard against disposed tensors on long running operations such as pause in middle of processing\n const mesh = prediction.coords ? prediction.coords.arraySync() : null;\n const meshRaw = prediction.rawCoords;\n const annotations = {};\n if (mesh && mesh.length > 0) {\n for (const key of Object.keys(coords.MESH_ANNOTATIONS)) {\n annotations[key] = coords.MESH_ANNOTATIONS[key].map((index) => mesh[index]);\n }\n }\n const boxRaw = (config.face.mesh.returnRawData && prediction.box) ? { topLeft: prediction.box.startPoint, bottomRight: prediction.box.endPoint } : null;\n const box = prediction.box ? [\n Math.max(0, prediction.box.startPoint[0]),\n Math.max(0, prediction.box.startPoint[1]),\n Math.min(input.shape[2], prediction.box.endPoint[0]) - prediction.box.startPoint[0],\n Math.min(input.shape[1], prediction.box.endPoint[1]) - prediction.box.startPoint[1],\n ] : 0;\n results.push({ confidence: prediction.confidence || 0, box, mesh, boxRaw, meshRaw, annotations, image: prediction.image ? tf.clone(prediction.image) : null });\n if (prediction.coords) prediction.coords.dispose();\n if (prediction.image) prediction.image.dispose();\n }\n return results;\n }\n}\n\nlet faceModels = [null, null, null];\nexport async function load(config) {\n // @ts-ignore\n faceModels = await Promise.all([\n (!faceModels[0] && config.face.enabled) ? blazeface.load(config) : null,\n (!faceModels[1] && config.face.mesh.enabled) ? tf.loadGraphModel(config.face.mesh.modelPath, { fromTFHub: config.face.mesh.modelPath.includes('tfhub.dev') }) : null,\n (!faceModels[2] && config.face.iris.enabled) ? tf.loadGraphModel(config.face.iris.modelPath, { fromTFHub: config.face.iris.modelPath.includes('tfhub.dev') }) : null,\n ]);\n const faceMesh = new MediaPipeFaceMesh(faceModels[0], faceModels[1], faceModels[2], config);\n if (config.face.mesh.enabled) log(`load model: ${config.face.mesh.modelPath.match(/\\/(.*)\\./)[1]}`);\n if (config.face.iris.enabled) log(`load model: ${config.face.iris.modelPath.match(/\\/(.*)\\./)[1]}`);\n return faceMesh;\n}\n\nexports.triangulation = coords.TRI468;\n", "export const partNames = [\n 'nose', 'leftEye', 'rightEye', 'leftEar', 'rightEar', 'leftShoulder',\n 'rightShoulder', 'leftElbow', 'rightElbow', 'leftWrist', 'rightWrist',\n 'leftHip', 'rightHip', 'leftKnee', 'rightKnee', 'leftAnkle', 'rightAnkle',\n];\n\nexport const NUM_KEYPOINTS = exports.partNames.length;\n\nexport const partIds = exports.partNames.reduce((result, jointName, i) => {\n result[jointName] = i;\n return result;\n}, {});\n\nconst connectedPartNames = [\n ['leftHip', 'leftShoulder'], ['leftElbow', 'leftShoulder'],\n ['leftElbow', 'leftWrist'], ['leftHip', 'leftKnee'],\n ['leftKnee', 'leftAnkle'], ['rightHip', 'rightShoulder'],\n ['rightElbow', 'rightShoulder'], ['rightElbow', 'rightWrist'],\n ['rightHip', 'rightKnee'], ['rightKnee', 'rightAnkle'],\n ['leftShoulder', 'rightShoulder'], ['leftHip', 'rightHip'],\n];\nexport const connectedPartIndices = connectedPartNames.map(([jointNameA, jointNameB]) => ([partIds[jointNameA], partIds[jointNameB]]));\n\nexport const poseChain = [\n ['nose', 'leftEye'], ['leftEye', 'leftEar'], ['nose', 'rightEye'],\n ['rightEye', 'rightEar'], ['nose', 'leftShoulder'],\n ['leftShoulder', 'leftElbow'], ['leftElbow', 'leftWrist'],\n ['leftShoulder', 'leftHip'], ['leftHip', 'leftKnee'],\n ['leftKnee', 'leftAnkle'], ['nose', 'rightShoulder'],\n ['rightShoulder', 'rightElbow'], ['rightElbow', 'rightWrist'],\n ['rightShoulder', 'rightHip'], ['rightHip', 'rightKnee'],\n ['rightKnee', 'rightAnkle'],\n];\n\nexport const partChannels = [\n 'left_face',\n 'right_face',\n 'right_upper_leg_front',\n 'right_lower_leg_back',\n 'right_upper_leg_back',\n 'left_lower_leg_front',\n 'left_upper_leg_front',\n 'left_upper_leg_back',\n 'left_lower_leg_back',\n 'right_feet',\n 'right_lower_leg_front',\n 'left_feet',\n 'torso_front',\n 'torso_back',\n 'right_upper_arm_front',\n 'right_upper_arm_back',\n 'right_lower_arm_back',\n 'left_lower_arm_front',\n 'left_upper_arm_front',\n 'left_upper_arm_back',\n 'left_lower_arm_back',\n 'right_hand',\n 'right_lower_arm_front',\n 'left_hand',\n];\n", "import { log } from './log';\nimport * as tf from '../dist/tfjs.esm.js';\nimport * as backend from './tfjs/backend';\nimport * as facemesh from './blazeface/facemesh';\nimport * as faceboxes from './faceboxes/faceboxes';\nimport * as age from './age/age';\nimport * as gender from './gender/gender';\nimport * as emotion from './emotion/emotion';\nimport * as embedding from './embedding/embedding';\nimport * as posenet from './posenet/posenet';\nimport * as handpose from './handpose/handpose';\nimport * as gesture from './gesture/gesture';\nimport * as image from './image';\nimport * as profile from './profile';\nimport * as config from '../config';\nimport * as sample from './sample';\nimport * as app from '../package.json';\n\n// helper function: gets elapsed time on both browser and nodejs\nconst now = () => {\n if (typeof performance !== 'undefined') return performance.now();\n return parseInt((Number(process.hrtime.bigint()) / 1000 / 1000).toString());\n};\n\n// helper function: perform deep merge of multiple objects so it allows full inheriance with overrides\nfunction mergeDeep(...objects) {\n const isObject = (obj) => obj && typeof obj === 'object';\n return objects.reduce((prev, obj) => {\n Object.keys(obj || {}).forEach((key) => {\n const pVal = prev[key];\n const oVal = obj[key];\n if (Array.isArray(pVal) && Array.isArray(oVal)) {\n prev[key] = pVal.concat(...oVal);\n } else if (isObject(pVal) && isObject(oVal)) {\n prev[key] = mergeDeep(pVal, oVal);\n } else {\n prev[key] = oVal;\n }\n });\n return prev;\n }, {});\n}\n\nclass Human {\n tf: any;\n package: any;\n version: string;\n config: any;\n fx: any;\n state: string;\n numTensors: number;\n analyzeMemoryLeaks: boolean;\n checkSanity: boolean;\n firstRun: boolean;\n perf: any;\n models: any;\n // models\n facemesh: any;\n age: any;\n gender: any;\n emotion: any;\n body: any;\n hand: any;\n\n constructor(userConfig = {}) {\n this.tf = tf;\n this.package = app;\n this.version = app.version;\n this.config = mergeDeep(config.default, userConfig);\n this.fx = null;\n this.state = 'idle';\n this.numTensors = 0;\n this.analyzeMemoryLeaks = false;\n this.checkSanity = false;\n this.firstRun = true;\n this.perf = {};\n // object that contains all initialized models\n this.models = {\n facemesh: null,\n posenet: null,\n handpose: null,\n iris: null,\n age: null,\n gender: null,\n emotion: null,\n };\n // export raw access to underlying models\n this.facemesh = facemesh;\n this.age = age;\n this.gender = gender;\n this.emotion = emotion;\n this.body = posenet;\n this.hand = handpose;\n }\n\n profile() {\n if (this.config.profile) return profile.data;\n return {};\n }\n\n // helper function: measure tensor leak\n analyze(...msg) {\n if (!this.analyzeMemoryLeaks) return;\n const current = this.tf.engine().state.numTensors;\n const previous = this.numTensors;\n this.numTensors = current;\n const leaked = current - previous;\n if (leaked !== 0) log(...msg, leaked);\n }\n\n // quick sanity check on inputs\n sanity(input) {\n if (!this.checkSanity) return null;\n if (!input) return 'input is not defined';\n if (this.tf.ENV.flags.IS_NODE && !(input instanceof this.tf.Tensor)) {\n return 'input must be a tensor';\n }\n try {\n this.tf.getBackend();\n } catch {\n return 'backend not loaded';\n }\n return null;\n }\n\n simmilarity(embedding1, embedding2) {\n if (this.config.face.embedding.enabled) return embedding.simmilarity(embedding1, embedding2);\n return 0;\n }\n\n // preload models, not explicitly required as it's done automatically on first use\n async load(userConfig = null) {\n this.state = 'load';\n const timeStamp = now();\n if (userConfig) this.config = mergeDeep(this.config, userConfig);\n\n if (this.firstRun) {\n log(`version: ${this.version} TensorFlow/JS version: ${this.tf.version_core}`);\n await this.checkBackend(true);\n if (this.tf.ENV.flags.IS_BROWSER) {\n log('configuration:', this.config);\n log('tf flags:', this.tf.ENV.flags);\n }\n }\n const face = this.config.face.detector.modelPath.includes('faceboxes') ? faceboxes : facemesh;\n if (this.config.async) {\n [\n this.models.face,\n this.models.age,\n this.models.gender,\n this.models.emotion,\n this.models.embedding,\n this.models.posenet,\n this.models.handpose,\n ] = await Promise.all([\n this.models.face || (this.config.face.enabled ? face.load(this.config) : null),\n this.models.age || ((this.config.face.enabled && this.config.face.age.enabled) ? age.load(this.config) : null),\n this.models.gender || ((this.config.face.enabled && this.config.face.gender.enabled) ? gender.load(this.config) : null),\n this.models.emotion || ((this.config.face.enabled && this.config.face.emotion.enabled) ? emotion.load(this.config) : null),\n this.models.embedding || ((this.config.face.enabled && this.config.face.embedding.enabled) ? embedding.load(this.config) : null),\n this.models.posenet || (this.config.body.enabled ? posenet.load(this.config) : null),\n this.models.handpose || (this.config.hand.enabled ? handpose.load(this.config) : null),\n ]);\n } else {\n if (this.config.face.enabled && !this.models.face) this.models.face = await face.load(this.config);\n if (this.config.face.enabled && this.config.face.age.enabled && !this.models.age) this.models.age = await age.load(this.config);\n if (this.config.face.enabled && this.config.face.gender.enabled && !this.models.gender) this.models.gender = await gender.load(this.config);\n if (this.config.face.enabled && this.config.face.emotion.enabled && !this.models.emotion) this.models.emotion = await emotion.load(this.config);\n if (this.config.face.enabled && this.config.face.embedding.enabled && !this.models.embedding) this.models.embedding = await embedding.load(this.config);\n if (this.config.body.enabled && !this.models.posenet) this.models.posenet = await posenet.load(this.config);\n if (this.config.hand.enabled && !this.models.handpose) this.models.handpose = await handpose.load(this.config);\n }\n\n if (this.firstRun) {\n log('tf engine state:', this.tf.engine().state.numBytes, 'bytes', this.tf.engine().state.numTensors, 'tensors');\n this.firstRun = false;\n }\n\n const current = Math.trunc(now() - timeStamp);\n if (current > (this.perf.load || 0)) this.perf.load = current;\n }\n\n // check if backend needs initialization if it changed\n async checkBackend(force = false) {\n if (this.config.backend && (this.config.backend !== '') && force || (this.tf.getBackend() !== this.config.backend)) {\n const timeStamp = now();\n this.state = 'backend';\n /* force backend reload\n if (this.config.backend in tf.engine().registry) {\n const backendFactory = tf.findBackendFactory(this.config.backend);\n tf.removeBackend(this.config.backend);\n tf.registerBackend(this.config.backend, backendFactory);\n } else {\n log('Backend not registred:', this.config.backend);\n }\n */\n\n log('setting backend:', this.config.backend);\n\n if (this.config.backend === 'wasm') {\n log('settings wasm path:', this.config.wasmPath);\n this.tf.setWasmPaths(this.config.wasmPath);\n const simd = await this.tf.env().getAsync('WASM_HAS_SIMD_SUPPORT');\n if (!simd) log('warning: wasm simd support is not enabled');\n }\n\n if (this.config.backend === 'humangl') backend.register();\n try {\n await this.tf.setBackend(this.config.backend);\n } catch (err) {\n log('error: cannot set backend:', this.config.backend, err);\n }\n this.tf.enableProdMode();\n /* debug mode is really too mcuh\n tf.enableDebugMode();\n */\n if (this.tf.getBackend() === 'webgl') {\n if (this.config.deallocate) {\n log('changing webgl: WEBGL_DELETE_TEXTURE_THRESHOLD:', this.config.deallocate);\n this.tf.ENV.set('WEBGL_DELETE_TEXTURE_THRESHOLD', this.config.deallocate ? 0 : -1);\n }\n this.tf.ENV.set('WEBGL_FORCE_F16_TEXTURES', true);\n this.tf.ENV.set('WEBGL_PACK_DEPTHWISECONV', true);\n const gl = await this.tf.backend().getGPGPUContext().gl;\n log(`gl version:${gl.getParameter(gl.VERSION)} renderer:${gl.getParameter(gl.RENDERER)}`);\n }\n await this.tf.ready();\n this.perf.backend = Math.trunc(now() - timeStamp);\n }\n }\n\n async detectFace(input) {\n // run facemesh, includes blazeface and iris\n // eslint-disable-next-line no-async-promise-executor\n let timeStamp;\n let ageRes;\n let genderRes;\n let emotionRes;\n let embeddingRes;\n const faceRes: Array<{ confidence: number, box: any, mesh: any, meshRaw: any, boxRaw: any, annotations: any, age: number, gender: string, genderConfidence: number, emotion: string, embedding: any, iris: number }> = [];\n this.state = 'run:face';\n timeStamp = now();\n const faces = await this.models.face?.estimateFaces(input, this.config);\n this.perf.face = Math.trunc(now() - timeStamp);\n for (const face of faces) {\n this.analyze('Get Face');\n\n // is something went wrong, skip the face\n if (!face.image || face.image.isDisposedInternal) {\n log('Face object is disposed:', face.image);\n continue;\n }\n\n // run age, inherits face from blazeface\n this.analyze('Start Age:');\n if (this.config.async) {\n ageRes = this.config.face.age.enabled ? age.predict(face.image, this.config) : {};\n } else {\n this.state = 'run:age';\n timeStamp = now();\n ageRes = this.config.face.age.enabled ? await age.predict(face.image, this.config) : {};\n this.perf.age = Math.trunc(now() - timeStamp);\n }\n\n // run gender, inherits face from blazeface\n this.analyze('Start Gender:');\n if (this.config.async) {\n genderRes = this.config.face.gender.enabled ? gender.predict(face.image, this.config) : {};\n } else {\n this.state = 'run:gender';\n timeStamp = now();\n genderRes = this.config.face.gender.enabled ? await gender.predict(face.image, this.config) : {};\n this.perf.gender = Math.trunc(now() - timeStamp);\n }\n\n // run emotion, inherits face from blazeface\n this.analyze('Start Emotion:');\n if (this.config.async) {\n emotionRes = this.config.face.emotion.enabled ? emotion.predict(face.image, this.config) : {};\n } else {\n this.state = 'run:emotion';\n timeStamp = now();\n emotionRes = this.config.face.emotion.enabled ? await emotion.predict(face.image, this.config) : {};\n this.perf.emotion = Math.trunc(now() - timeStamp);\n }\n this.analyze('End Emotion:');\n\n // run emotion, inherits face from blazeface\n this.analyze('Start Embedding:');\n if (this.config.async) {\n embeddingRes = this.config.face.embedding.enabled ? embedding.predict(face.image, this.config) : {};\n } else {\n this.state = 'run:embedding';\n timeStamp = now();\n embeddingRes = this.config.face.embedding.enabled ? await embedding.predict(face.image, this.config) : {};\n this.perf.embedding = Math.trunc(now() - timeStamp);\n }\n this.analyze('End Emotion:');\n\n // if async wait for results\n if (this.config.async) {\n [ageRes, genderRes, emotionRes, embeddingRes] = await Promise.all([ageRes, genderRes, emotionRes, embeddingRes]);\n }\n\n this.analyze('Finish Face:');\n\n // calculate iris distance\n // iris: array[ center, left, top, right, bottom]\n if (!this.config.face.iris.enabled && face?.annotations?.leftEyeIris && face?.annotations?.rightEyeIris) {\n delete face.annotations.leftEyeIris;\n delete face.annotations.rightEyeIris;\n }\n const irisSize = (face.annotations?.leftEyeIris && face.annotations?.rightEyeIris)\n /* average human iris size is 11.7mm */\n ? 11.7 * Math.max(Math.abs(face.annotations.leftEyeIris[3][0] - face.annotations.leftEyeIris[1][0]), Math.abs(face.annotations.rightEyeIris[4][1] - face.annotations.rightEyeIris[2][1]))\n : 0;\n\n // combine results\n faceRes.push({\n confidence: face.confidence,\n box: face.box,\n mesh: face.mesh,\n boxRaw: face.boxRaw,\n meshRaw: face.meshRaw,\n annotations: face.annotations,\n age: ageRes.age,\n gender: genderRes.gender,\n genderConfidence: genderRes.confidence,\n emotion: emotionRes,\n embedding: embeddingRes,\n iris: (irisSize !== 0) ? Math.trunc(irisSize) / 100 : 0,\n // image: face.image.toInt().squeeze(),\n });\n\n // dont need face anymore\n face.image?.dispose();\n this.analyze('End Face');\n }\n this.analyze('End FaceMesh:');\n if (this.config.async) {\n if (this.perf.face) delete this.perf.face;\n if (this.perf.age) delete this.perf.age;\n if (this.perf.gender) delete this.perf.gender;\n if (this.perf.emotion) delete this.perf.emotion;\n }\n return faceRes;\n }\n\n /*\n async processImage(input, userConfig = {}) {\n this.state = 'image';\n this.config = mergeDeep(this.config, userConfig);\n const process = image.process(input, this.config);\n process?.tensor?.dispose();\n return process?.canvas;\n }\n */\n\n // main detect function\n async detect(input, userConfig = {}) {\n // detection happens inside a promise\n return new Promise(async (resolve) => {\n this.state = 'config';\n let timeStamp;\n\n // update configuration\n this.config = mergeDeep(this.config, userConfig);\n\n // sanity checks\n this.state = 'check';\n const error = this.sanity(input);\n if (error) {\n log(error, input);\n resolve({ error });\n }\n\n let poseRes;\n let handRes;\n let faceRes;\n\n const timeStart = now();\n\n // configure backend\n await this.checkBackend();\n\n // load models if enabled\n await this.load();\n\n if (this.config.scoped) this.tf.engine().startScope();\n this.analyze('Start Scope:');\n\n timeStamp = now();\n const process = image.process(input, this.config);\n if (!process || !process.tensor) {\n log('could not convert input to tensor');\n resolve({ error: 'could not convert input to tensor' });\n return;\n }\n this.perf.image = Math.trunc(now() - timeStamp);\n this.analyze('Get Image:');\n\n // run face detection followed by all models that rely on face bounding box: face mesh, age, gender, emotion\n if (this.config.async) {\n faceRes = this.config.face.enabled ? this.detectFace(process.tensor) : [];\n if (this.perf.face) delete this.perf.face;\n } else {\n this.state = 'run:face';\n timeStamp = now();\n faceRes = this.config.face.enabled ? await this.detectFace(process.tensor) : [];\n this.perf.face = Math.trunc(now() - timeStamp);\n }\n\n // run posenet\n this.analyze('Start Body:');\n if (this.config.async) {\n poseRes = this.config.body.enabled ? this.models.posenet?.estimatePoses(process.tensor, this.config) : [];\n if (this.perf.body) delete this.perf.body;\n } else {\n this.state = 'run:body';\n timeStamp = now();\n poseRes = this.config.body.enabled ? await this.models.posenet?.estimatePoses(process.tensor, this.config) : [];\n this.perf.body = Math.trunc(now() - timeStamp);\n }\n this.analyze('End Body:');\n\n // run handpose\n this.analyze('Start Hand:');\n if (this.config.async) {\n handRes = this.config.hand.enabled ? this.models.handpose?.estimateHands(process.tensor, this.config) : [];\n if (this.perf.hand) delete this.perf.hand;\n } else {\n this.state = 'run:hand';\n timeStamp = now();\n handRes = this.config.hand.enabled ? await this.models.handpose?.estimateHands(process.tensor, this.config) : [];\n this.perf.hand = Math.trunc(now() - timeStamp);\n }\n this.analyze('End Hand:');\n\n // if async wait for results\n if (this.config.async) {\n [faceRes, poseRes, handRes] = await Promise.all([faceRes, poseRes, handRes]);\n }\n process.tensor.dispose();\n\n if (this.config.scoped) this.tf.engine().endScope();\n this.analyze('End Scope:');\n\n let gestureRes = [];\n if (this.config.gesture.enabled) {\n timeStamp = now();\n // @ts-ignore\n gestureRes = [...gesture.face(faceRes), ...gesture.body(poseRes), ...gesture.hand(handRes), ...gesture.iris(faceRes)];\n if (!this.config.async) this.perf.gesture = Math.trunc(now() - timeStamp);\n else if (this.perf.gesture) delete this.perf.gesture;\n }\n\n this.perf.total = Math.trunc(now() - timeStart);\n this.state = 'idle';\n resolve({ face: faceRes, body: poseRes, hand: handRes, gesture: gestureRes, performance: this.perf, canvas: process.canvas });\n });\n }\n\n async warmupBitmap() {\n const b64toBlob = (base64, type = 'application/octet-stream') => fetch(`data:${type};base64,${base64}`).then((res) => res.blob());\n let blob;\n let res;\n switch (this.config.warmup) {\n case 'face': blob = await b64toBlob(sample.face); break;\n case 'full': blob = await b64toBlob(sample.body); break;\n default: blob = null;\n }\n if (blob) {\n const bitmap = await createImageBitmap(blob);\n res = await this.detect(bitmap, this.config);\n bitmap.close();\n }\n return res;\n }\n\n async warmupCanvas() {\n return new Promise((resolve) => {\n let src;\n let size = 0;\n switch (this.config.warmup) {\n case 'face':\n size = 256;\n src = 'data:image/jpeg;base64,' + sample.face;\n break;\n case 'full':\n size = 1200;\n src = 'data:image/jpeg;base64,' + sample.body;\n break;\n default:\n src = null;\n }\n const img = new Image(size, size);\n img.onload = () => {\n const canvas = (typeof OffscreenCanvas !== 'undefined') ? new OffscreenCanvas(size, size) : document.createElement('canvas');\n canvas.width = size;\n canvas.height = size;\n const ctx = canvas.getContext('2d');\n ctx?.drawImage(img, 0, 0);\n const data = ctx?.getImageData(0, 0, size, size);\n this.detect(data, this.config).then((res) => resolve(res));\n };\n if (src) img.src = src;\n else resolve(null);\n });\n }\n\n async warmupNode() {\n const atob = (str) => Buffer.from(str, 'base64');\n const img = this.config.warmup === 'face' ? atob(sample.face) : atob(sample.body);\n // @ts-ignore\n const data = tf.node.decodeJpeg(img); // tf.node is only defined when compiling for nodejs\n const expanded = data.expandDims(0);\n this.tf.dispose(data);\n // log('Input:', expanded);\n const res = await this.detect(expanded, this.config);\n this.tf.dispose(expanded);\n return res;\n }\n\n async warmup(userConfig) {\n const t0 = now();\n if (userConfig) this.config = mergeDeep(this.config, userConfig);\n const video = this.config.videoOptimized;\n this.config.videoOptimized = false;\n let res;\n if (typeof createImageBitmap === 'function') res = await this.warmupBitmap();\n else if (typeof Image !== 'undefined') res = await this.warmupCanvas();\n else res = await this.warmupNode();\n this.config.videoOptimized = video;\n const t1 = now();\n log('Warmup', this.config.warmup, Math.round(t1 - t0), 'ms', res);\n return res;\n }\n}\n\nexport { Human as default };\n", "// helper function: wrapper around console output\nexport function log(...msg) {\n const dt = new Date();\n const ts = `${dt.getHours().toString().padStart(2, '0')}:${dt.getMinutes().toString().padStart(2, '0')}:${dt.getSeconds().toString().padStart(2, '0')}.${dt.getMilliseconds().toString().padStart(3, '0')}`;\n // eslint-disable-next-line no-console\n if (msg) console.log(ts, 'Human:', ...msg);\n}\n", "", "// A port of an algorithm by Johannes Baag\u00F8e , 2010\n// http://baagoe.com/en/RandomMusings/javascript/\n// https://github.com/nquinlan/better-random-numbers-for-javascript-mirror\n// Original work is under MIT license -\n\n// Copyright (C) 2010 by Johannes Baag\u00F8e \n//\n// Permission is hereby granted, free of charge, to any person obtaining a copy\n// of this software and associated documentation files (the \"Software\"), to deal\n// in the Software without restriction, including without limitation the rights\n// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell\n// copies of the Software, and to permit persons to whom the Software is\n// furnished to do so, subject to the following conditions:\n// \n// The above copyright notice and this permission notice shall be included in\n// all copies or substantial portions of the Software.\n// \n// THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\n// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\n// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN\n// THE SOFTWARE.\n\n\n\n(function(global, module, define) {\n\nfunction Alea(seed) {\n var me = this, mash = Mash();\n\n me.next = function() {\n var t = 2091639 * me.s0 + me.c * 2.3283064365386963e-10; // 2^-32\n me.s0 = me.s1;\n me.s1 = me.s2;\n return me.s2 = t - (me.c = t | 0);\n };\n\n // Apply the seeding algorithm from Baagoe.\n me.c = 1;\n me.s0 = mash(' ');\n me.s1 = mash(' ');\n me.s2 = mash(' ');\n me.s0 -= mash(seed);\n if (me.s0 < 0) { me.s0 += 1; }\n me.s1 -= mash(seed);\n if (me.s1 < 0) { me.s1 += 1; }\n me.s2 -= mash(seed);\n if (me.s2 < 0) { me.s2 += 1; }\n mash = null;\n}\n\nfunction copy(f, t) {\n t.c = f.c;\n t.s0 = f.s0;\n t.s1 = f.s1;\n t.s2 = f.s2;\n return t;\n}\n\nfunction impl(seed, opts) {\n var xg = new Alea(seed),\n state = opts && opts.state,\n prng = xg.next;\n prng.int32 = function() { return (xg.next() * 0x100000000) | 0; }\n prng.double = function() {\n return prng() + (prng() * 0x200000 | 0) * 1.1102230246251565e-16; // 2^-53\n };\n prng.quick = prng;\n if (state) {\n if (typeof(state) == 'object') copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nfunction Mash() {\n var n = 0xefc8249d;\n\n var mash = function(data) {\n data = data.toString();\n for (var i = 0; i < data.length; i++) {\n n += data.charCodeAt(i);\n var h = 0.02519603282416938 * n;\n n = h >>> 0;\n h -= n;\n h *= n;\n n = h >>> 0;\n h -= n;\n n += h * 0x100000000; // 2^32\n }\n return (n >>> 0) * 2.3283064365386963e-10; // 2^-32\n };\n\n return mash;\n}\n\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.alea = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n\n", "// A Javascript implementaion of the \"xor128\" prng algorithm by\n// George Marsaglia. See http://www.jstatsoft.org/v08/i14/paper\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this, strseed = '';\n\n me.x = 0;\n me.y = 0;\n me.z = 0;\n me.w = 0;\n\n // Set up generator function.\n me.next = function() {\n var t = me.x ^ (me.x << 11);\n me.x = me.y;\n me.y = me.z;\n me.z = me.w;\n return me.w ^= (me.w >>> 19) ^ t ^ (t >>> 8);\n };\n\n if (seed === (seed | 0)) {\n // Integer seed.\n me.x = seed;\n } else {\n // String seed.\n strseed += seed;\n }\n\n // Mix in string seed, then discard an initial batch of 64 values.\n for (var k = 0; k < strseed.length + 64; k++) {\n me.x ^= strseed.charCodeAt(k) | 0;\n me.next();\n }\n}\n\nfunction copy(f, t) {\n t.x = f.x;\n t.y = f.y;\n t.z = f.z;\n t.w = f.w;\n return t;\n}\n\nfunction impl(seed, opts) {\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (typeof(state) == 'object') copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.xor128 = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n\n", "// A Javascript implementaion of the \"xorwow\" prng algorithm by\n// George Marsaglia. See http://www.jstatsoft.org/v08/i14/paper\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this, strseed = '';\n\n // Set up generator function.\n me.next = function() {\n var t = (me.x ^ (me.x >>> 2));\n me.x = me.y; me.y = me.z; me.z = me.w; me.w = me.v;\n return (me.d = (me.d + 362437 | 0)) +\n (me.v = (me.v ^ (me.v << 4)) ^ (t ^ (t << 1))) | 0;\n };\n\n me.x = 0;\n me.y = 0;\n me.z = 0;\n me.w = 0;\n me.v = 0;\n\n if (seed === (seed | 0)) {\n // Integer seed.\n me.x = seed;\n } else {\n // String seed.\n strseed += seed;\n }\n\n // Mix in string seed, then discard an initial batch of 64 values.\n for (var k = 0; k < strseed.length + 64; k++) {\n me.x ^= strseed.charCodeAt(k) | 0;\n if (k == strseed.length) {\n me.d = me.x << 10 ^ me.x >>> 4;\n }\n me.next();\n }\n}\n\nfunction copy(f, t) {\n t.x = f.x;\n t.y = f.y;\n t.z = f.z;\n t.w = f.w;\n t.v = f.v;\n t.d = f.d;\n return t;\n}\n\nfunction impl(seed, opts) {\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (typeof(state) == 'object') copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.xorwow = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n\n", "// A Javascript implementaion of the \"xorshift7\" algorithm by\n// Fran\u00E7ois Panneton and Pierre L'ecuyer:\n// \"On the Xorgshift Random Number Generators\"\n// http://saluc.engr.uconn.edu/refs/crypto/rng/panneton05onthexorshift.pdf\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this;\n\n // Set up generator function.\n me.next = function() {\n // Update xor generator.\n var X = me.x, i = me.i, t, v, w;\n t = X[i]; t ^= (t >>> 7); v = t ^ (t << 24);\n t = X[(i + 1) & 7]; v ^= t ^ (t >>> 10);\n t = X[(i + 3) & 7]; v ^= t ^ (t >>> 3);\n t = X[(i + 4) & 7]; v ^= t ^ (t << 7);\n t = X[(i + 7) & 7]; t = t ^ (t << 13); v ^= t ^ (t << 9);\n X[i] = v;\n me.i = (i + 1) & 7;\n return v;\n };\n\n function init(me, seed) {\n var j, w, X = [];\n\n if (seed === (seed | 0)) {\n // Seed state array using a 32-bit integer.\n w = X[0] = seed;\n } else {\n // Seed state using a string.\n seed = '' + seed;\n for (j = 0; j < seed.length; ++j) {\n X[j & 7] = (X[j & 7] << 15) ^\n (seed.charCodeAt(j) + X[(j + 1) & 7] << 13);\n }\n }\n // Enforce an array length of 8, not all zeroes.\n while (X.length < 8) X.push(0);\n for (j = 0; j < 8 && X[j] === 0; ++j);\n if (j == 8) w = X[7] = -1; else w = X[j];\n\n me.x = X;\n me.i = 0;\n\n // Discard an initial 256 values.\n for (j = 256; j > 0; --j) {\n me.next();\n }\n }\n\n init(me, seed);\n}\n\nfunction copy(f, t) {\n t.x = f.x.slice();\n t.i = f.i;\n return t;\n}\n\nfunction impl(seed, opts) {\n if (seed == null) seed = +(new Date);\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (state.x) copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.xorshift7 = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n", "// A Javascript implementaion of Richard Brent's Xorgens xor4096 algorithm.\n//\n// This fast non-cryptographic random number generator is designed for\n// use in Monte-Carlo algorithms. It combines a long-period xorshift\n// generator with a Weyl generator, and it passes all common batteries\n// of stasticial tests for randomness while consuming only a few nanoseconds\n// for each prng generated. For background on the generator, see Brent's\n// paper: \"Some long-period random number generators using shifts and xors.\"\n// http://arxiv.org/pdf/1004.3115v1.pdf\n//\n// Usage:\n//\n// var xor4096 = require('xor4096');\n// random = xor4096(1); // Seed with int32 or string.\n// assert.equal(random(), 0.1520436450538547); // (0, 1) range, 53 bits.\n// assert.equal(random.int32(), 1806534897); // signed int32, 32 bits.\n//\n// For nonzero numeric keys, this impelementation provides a sequence\n// identical to that by Brent's xorgens 3 implementaion in C. This\n// implementation also provides for initalizing the generator with\n// string seeds, or for saving and restoring the state of the generator.\n//\n// On Chrome, this prng benchmarks about 2.1 times slower than\n// Javascript's built-in Math.random().\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this;\n\n // Set up generator function.\n me.next = function() {\n var w = me.w,\n X = me.X, i = me.i, t, v;\n // Update Weyl generator.\n me.w = w = (w + 0x61c88647) | 0;\n // Update xor generator.\n v = X[(i + 34) & 127];\n t = X[i = ((i + 1) & 127)];\n v ^= v << 13;\n t ^= t << 17;\n v ^= v >>> 15;\n t ^= t >>> 12;\n // Update Xor generator array state.\n v = X[i] = v ^ t;\n me.i = i;\n // Result is the combination.\n return (v + (w ^ (w >>> 16))) | 0;\n };\n\n function init(me, seed) {\n var t, v, i, j, w, X = [], limit = 128;\n if (seed === (seed | 0)) {\n // Numeric seeds initialize v, which is used to generates X.\n v = seed;\n seed = null;\n } else {\n // String seeds are mixed into v and X one character at a time.\n seed = seed + '\\0';\n v = 0;\n limit = Math.max(limit, seed.length);\n }\n // Initialize circular array and weyl value.\n for (i = 0, j = -32; j < limit; ++j) {\n // Put the unicode characters into the array, and shuffle them.\n if (seed) v ^= seed.charCodeAt((j + 32) % seed.length);\n // After 32 shuffles, take v as the starting w value.\n if (j === 0) w = v;\n v ^= v << 10;\n v ^= v >>> 15;\n v ^= v << 4;\n v ^= v >>> 13;\n if (j >= 0) {\n w = (w + 0x61c88647) | 0; // Weyl.\n t = (X[j & 127] ^= (v + w)); // Combine xor and weyl to init array.\n i = (0 == t) ? i + 1 : 0; // Count zeroes.\n }\n }\n // We have detected all zeroes; make the key nonzero.\n if (i >= 128) {\n X[(seed && seed.length || 0) & 127] = -1;\n }\n // Run the generator 512 times to further mix the state before using it.\n // Factoring this as a function slows the main generator, so it is just\n // unrolled here. The weyl generator is not advanced while warming up.\n i = 127;\n for (j = 4 * 128; j > 0; --j) {\n v = X[(i + 34) & 127];\n t = X[i = ((i + 1) & 127)];\n v ^= v << 13;\n t ^= t << 17;\n v ^= v >>> 15;\n t ^= t >>> 12;\n X[i] = v ^ t;\n }\n // Storing state as object members is faster than using closure variables.\n me.w = w;\n me.X = X;\n me.i = i;\n }\n\n init(me, seed);\n}\n\nfunction copy(f, t) {\n t.i = f.i;\n t.w = f.w;\n t.X = f.X.slice();\n return t;\n};\n\nfunction impl(seed, opts) {\n if (seed == null) seed = +(new Date);\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (state.X) copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.xor4096 = impl;\n}\n\n})(\n this, // window object or global\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n", "// A Javascript implementaion of the \"Tyche-i\" prng algorithm by\n// Samuel Neves and Filipe Araujo.\n// See https://eden.dei.uc.pt/~sneves/pubs/2011-snfa2.pdf\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this, strseed = '';\n\n // Set up generator function.\n me.next = function() {\n var b = me.b, c = me.c, d = me.d, a = me.a;\n b = (b << 25) ^ (b >>> 7) ^ c;\n c = (c - d) | 0;\n d = (d << 24) ^ (d >>> 8) ^ a;\n a = (a - b) | 0;\n me.b = b = (b << 20) ^ (b >>> 12) ^ c;\n me.c = c = (c - d) | 0;\n me.d = (d << 16) ^ (c >>> 16) ^ a;\n return me.a = (a - b) | 0;\n };\n\n /* The following is non-inverted tyche, which has better internal\n * bit diffusion, but which is about 25% slower than tyche-i in JS.\n me.next = function() {\n var a = me.a, b = me.b, c = me.c, d = me.d;\n a = (me.a + me.b | 0) >>> 0;\n d = me.d ^ a; d = d << 16 ^ d >>> 16;\n c = me.c + d | 0;\n b = me.b ^ c; b = b << 12 ^ d >>> 20;\n me.a = a = a + b | 0;\n d = d ^ a; me.d = d = d << 8 ^ d >>> 24;\n me.c = c = c + d | 0;\n b = b ^ c;\n return me.b = (b << 7 ^ b >>> 25);\n }\n */\n\n me.a = 0;\n me.b = 0;\n me.c = 2654435769 | 0;\n me.d = 1367130551;\n\n if (seed === Math.floor(seed)) {\n // Integer seed.\n me.a = (seed / 0x100000000) | 0;\n me.b = seed | 0;\n } else {\n // String seed.\n strseed += seed;\n }\n\n // Mix in string seed, then discard an initial batch of 64 values.\n for (var k = 0; k < strseed.length + 20; k++) {\n me.b ^= strseed.charCodeAt(k) | 0;\n me.next();\n }\n}\n\nfunction copy(f, t) {\n t.a = f.a;\n t.b = f.b;\n t.c = f.c;\n t.d = f.d;\n return t;\n};\n\nfunction impl(seed, opts) {\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (typeof(state) == 'object') copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.tychei = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n\n", "", "/*\nCopyright 2014 David Bau.\n\nPermission is hereby granted, free of charge, to any person obtaining\na copy of this software and associated documentation files (the\n\"Software\"), to deal in the Software without restriction, including\nwithout limitation the rights to use, copy, modify, merge, publish,\ndistribute, sublicense, and/or sell copies of the Software, and to\npermit persons to whom the Software is furnished to do so, subject to\nthe following conditions:\n\nThe above copyright notice and this permission notice shall be\nincluded in all copies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND,\nEXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF\nMERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.\nIN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY\nCLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,\nTORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE\nSOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.\n\n*/\n\n(function (pool, math) {\n//\n// The following constants are related to IEEE 754 limits.\n//\nvar global = this,\n width = 256, // each RC4 output is 0 <= x < 256\n chunks = 6, // at least six RC4 outputs for each double\n digits = 52, // there are 52 significant digits in a double\n rngname = 'random', // rngname: name for Math.random and Math.seedrandom\n startdenom = math.pow(width, chunks),\n significance = math.pow(2, digits),\n overflow = significance * 2,\n mask = width - 1,\n nodecrypto; // node.js crypto module, initialized at the bottom.\n\n//\n// seedrandom()\n// This is the seedrandom function described above.\n//\nfunction seedrandom(seed, options, callback) {\n var key = [];\n options = (options == true) ? { entropy: true } : (options || {});\n\n // Flatten the seed string or build one from local entropy if needed.\n var shortseed = mixkey(flatten(\n options.entropy ? [seed, tostring(pool)] :\n (seed == null) ? autoseed() : seed, 3), key);\n\n // Use the seed to initialize an ARC4 generator.\n var arc4 = new ARC4(key);\n\n // This function returns a random double in [0, 1) that contains\n // randomness in every bit of the mantissa of the IEEE 754 value.\n var prng = function() {\n var n = arc4.g(chunks), // Start with a numerator n < 2 ^ 48\n d = startdenom, // and denominator d = 2 ^ 48.\n x = 0; // and no 'extra last byte'.\n while (n < significance) { // Fill up all significant digits by\n n = (n + x) * width; // shifting numerator and\n d *= width; // denominator and generating a\n x = arc4.g(1); // new least-significant-byte.\n }\n while (n >= overflow) { // To avoid rounding up, before adding\n n /= 2; // last byte, shift everything\n d /= 2; // right using integer math until\n x >>>= 1; // we have exactly the desired bits.\n }\n return (n + x) / d; // Form the number within [0, 1).\n };\n\n prng.int32 = function() { return arc4.g(4) | 0; }\n prng.quick = function() { return arc4.g(4) / 0x100000000; }\n prng.double = prng;\n\n // Mix the randomness into accumulated entropy.\n mixkey(tostring(arc4.S), pool);\n\n // Calling convention: what to return as a function of prng, seed, is_math.\n return (options.pass || callback ||\n function(prng, seed, is_math_call, state) {\n if (state) {\n // Load the arc4 state from the given state if it has an S array.\n if (state.S) { copy(state, arc4); }\n // Only provide the .state method if requested via options.state.\n prng.state = function() { return copy(arc4, {}); }\n }\n\n // If called as a method of Math (Math.seedrandom()), mutate\n // Math.random because that is how seedrandom.js has worked since v1.0.\n if (is_math_call) { math[rngname] = prng; return seed; }\n\n // Otherwise, it is a newer calling convention, so return the\n // prng directly.\n else return prng;\n })(\n prng,\n shortseed,\n 'global' in options ? options.global : (this == math),\n options.state);\n}\nmath['seed' + rngname] = seedrandom;\n\n//\n// ARC4\n//\n// An ARC4 implementation. The constructor takes a key in the form of\n// an array of at most (width) integers that should be 0 <= x < (width).\n//\n// The g(count) method returns a pseudorandom integer that concatenates\n// the next (count) outputs from ARC4. Its return value is a number x\n// that is in the range 0 <= x < (width ^ count).\n//\nfunction ARC4(key) {\n var t, keylen = key.length,\n me = this, i = 0, j = me.i = me.j = 0, s = me.S = [];\n\n // The empty key [] is treated as [0].\n if (!keylen) { key = [keylen++]; }\n\n // Set up S using the standard key scheduling algorithm.\n while (i < width) {\n s[i] = i++;\n }\n for (i = 0; i < width; i++) {\n s[i] = s[j = mask & (j + key[i % keylen] + (t = s[i]))];\n s[j] = t;\n }\n\n // The \"g\" method returns the next (count) outputs as one number.\n (me.g = function(count) {\n // Using instance members instead of closure state nearly doubles speed.\n var t, r = 0,\n i = me.i, j = me.j, s = me.S;\n while (count--) {\n t = s[i = mask & (i + 1)];\n r = r * width + s[mask & ((s[i] = s[j = mask & (j + t)]) + (s[j] = t))];\n }\n me.i = i; me.j = j;\n return r;\n // For robust unpredictability, the function call below automatically\n // discards an initial batch of values. This is called RC4-drop[256].\n // See http://google.com/search?q=rsa+fluhrer+response&btnI\n })(width);\n}\n\n//\n// copy()\n// Copies internal state of ARC4 to or from a plain object.\n//\nfunction copy(f, t) {\n t.i = f.i;\n t.j = f.j;\n t.S = f.S.slice();\n return t;\n};\n\n//\n// flatten()\n// Converts an object tree to nested arrays of strings.\n//\nfunction flatten(obj, depth) {\n var result = [], typ = (typeof obj), prop;\n if (depth && typ == 'object') {\n for (prop in obj) {\n try { result.push(flatten(obj[prop], depth - 1)); } catch (e) {}\n }\n }\n return (result.length ? result : typ == 'string' ? obj : obj + '\\0');\n}\n\n//\n// mixkey()\n// Mixes a string seed into a key that is an array of integers, and\n// returns a shortened string seed that is equivalent to the result key.\n//\nfunction mixkey(seed, key) {\n var stringseed = seed + '', smear, j = 0;\n while (j < stringseed.length) {\n key[mask & j] =\n mask & ((smear ^= key[mask & j] * 19) + stringseed.charCodeAt(j++));\n }\n return tostring(key);\n}\n\n//\n// autoseed()\n// Returns an object for autoseeding, using window.crypto and Node crypto\n// module if available.\n//\nfunction autoseed() {\n try {\n var out;\n if (nodecrypto && (out = nodecrypto.randomBytes)) {\n // The use of 'out' to remember randomBytes makes tight minified code.\n out = out(width);\n } else {\n out = new Uint8Array(width);\n (global.crypto || global.msCrypto).getRandomValues(out);\n }\n return tostring(out);\n } catch (e) {\n var browser = global.navigator,\n plugins = browser && browser.plugins;\n return [+new Date, global, plugins, global.screen, tostring(pool)];\n }\n}\n\n//\n// tostring()\n// Converts an array of charcodes to a string\n//\nfunction tostring(a) {\n return String.fromCharCode.apply(0, a);\n}\n\n//\n// When seedrandom.js is loaded, we immediately mix a few bits\n// from the built-in RNG into the entropy pool. Because we do\n// not want to interfere with deterministic PRNG state later,\n// seedrandom will not call math.random on its own again after\n// initialization.\n//\nmixkey(math.random(), pool);\n\n//\n// Nodejs and AMD support: export the implementation as a module using\n// either convention.\n//\nif ((typeof module) == 'object' && module.exports) {\n module.exports = seedrandom;\n // When in node.js, try using crypto package for autoseeding.\n try {\n nodecrypto = require('crypto');\n } catch (ex) {}\n} else if ((typeof define) == 'function' && define.amd) {\n define(function() { return seedrandom; });\n}\n\n// End anonymous scope, and pass initial values.\n})(\n [], // pool: entropy pool starts empty\n Math // math: package containing random, pow, and seedrandom\n);\n", "// A library of seedable RNGs implemented in Javascript.\n//\n// Usage:\n//\n// var seedrandom = require('seedrandom');\n// var random = seedrandom(1); // or any seed.\n// var x = random(); // 0 <= x < 1. Every bit is random.\n// var x = random.quick(); // 0 <= x < 1. 32 bits of randomness.\n\n// alea, a 53-bit multiply-with-carry generator by Johannes Baag\u00F8e.\n// Period: ~2^116\n// Reported to pass all BigCrush tests.\nvar alea = require('./lib/alea');\n\n// xor128, a pure xor-shift generator by George Marsaglia.\n// Period: 2^128-1.\n// Reported to fail: MatrixRank and LinearComp.\nvar xor128 = require('./lib/xor128');\n\n// xorwow, George Marsaglia's 160-bit xor-shift combined plus weyl.\n// Period: 2^192-2^32\n// Reported to fail: CollisionOver, SimpPoker, and LinearComp.\nvar xorwow = require('./lib/xorwow');\n\n// xorshift7, by Fran\u00E7ois Panneton and Pierre L'ecuyer, takes\n// a different approach: it adds robustness by allowing more shifts\n// than Marsaglia's original three. It is a 7-shift generator\n// with 256 bits, that passes BigCrush with no systmatic failures.\n// Period 2^256-1.\n// No systematic BigCrush failures reported.\nvar xorshift7 = require('./lib/xorshift7');\n\n// xor4096, by Richard Brent, is a 4096-bit xor-shift with a\n// very long period that also adds a Weyl generator. It also passes\n// BigCrush with no systematic failures. Its long period may\n// be useful if you have many generators and need to avoid\n// collisions.\n// Period: 2^4128-2^32.\n// No systematic BigCrush failures reported.\nvar xor4096 = require('./lib/xor4096');\n\n// Tyche-i, by Samuel Neves and Filipe Araujo, is a bit-shifting random\n// number generator derived from ChaCha, a modern stream cipher.\n// https://eden.dei.uc.pt/~sneves/pubs/2011-snfa2.pdf\n// Period: ~2^127\n// No systematic BigCrush failures reported.\nvar tychei = require('./lib/tychei');\n\n// The original ARC4-based prng included in this library.\n// Period: ~2^1600\nvar sr = require('./seedrandom');\n\nsr.alea = alea;\nsr.xor128 = xor128;\nsr.xorwow = xorwow;\nsr.xorshift7 = xorshift7;\nsr.xor4096 = xor4096;\nsr.tychei = tychei;\n\nmodule.exports = sr;\n", "// A port of an algorithm by Johannes Baag\u00F8e , 2010\n// http://baagoe.com/en/RandomMusings/javascript/\n// https://github.com/nquinlan/better-random-numbers-for-javascript-mirror\n// Original work is under MIT license -\n\n// Copyright (C) 2010 by Johannes Baag\u00F8e \n//\n// Permission is hereby granted, free of charge, to any person obtaining a copy\n// of this software and associated documentation files (the \"Software\"), to deal\n// in the Software without restriction, including without limitation the rights\n// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell\n// copies of the Software, and to permit persons to whom the Software is\n// furnished to do so, subject to the following conditions:\n// \n// The above copyright notice and this permission notice shall be included in\n// all copies or substantial portions of the Software.\n// \n// THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\n// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\n// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN\n// THE SOFTWARE.\n\n\n\n(function(global, module, define) {\n\nfunction Alea(seed) {\n var me = this, mash = Mash();\n\n me.next = function() {\n var t = 2091639 * me.s0 + me.c * 2.3283064365386963e-10; // 2^-32\n me.s0 = me.s1;\n me.s1 = me.s2;\n return me.s2 = t - (me.c = t | 0);\n };\n\n // Apply the seeding algorithm from Baagoe.\n me.c = 1;\n me.s0 = mash(' ');\n me.s1 = mash(' ');\n me.s2 = mash(' ');\n me.s0 -= mash(seed);\n if (me.s0 < 0) { me.s0 += 1; }\n me.s1 -= mash(seed);\n if (me.s1 < 0) { me.s1 += 1; }\n me.s2 -= mash(seed);\n if (me.s2 < 0) { me.s2 += 1; }\n mash = null;\n}\n\nfunction copy(f, t) {\n t.c = f.c;\n t.s0 = f.s0;\n t.s1 = f.s1;\n t.s2 = f.s2;\n return t;\n}\n\nfunction impl(seed, opts) {\n var xg = new Alea(seed),\n state = opts && opts.state,\n prng = xg.next;\n prng.int32 = function() { return (xg.next() * 0x100000000) | 0; }\n prng.double = function() {\n return prng() + (prng() * 0x200000 | 0) * 1.1102230246251565e-16; // 2^-53\n };\n prng.quick = prng;\n if (state) {\n if (typeof(state) == 'object') copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nfunction Mash() {\n var n = 0xefc8249d;\n\n var mash = function(data) {\n data = data.toString();\n for (var i = 0; i < data.length; i++) {\n n += data.charCodeAt(i);\n var h = 0.02519603282416938 * n;\n n = h >>> 0;\n h -= n;\n h *= n;\n n = h >>> 0;\n h -= n;\n n += h * 0x100000000; // 2^32\n }\n return (n >>> 0) * 2.3283064365386963e-10; // 2^-32\n };\n\n return mash;\n}\n\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.alea = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n\n", "// A Javascript implementaion of the \"xor128\" prng algorithm by\n// George Marsaglia. See http://www.jstatsoft.org/v08/i14/paper\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this, strseed = '';\n\n me.x = 0;\n me.y = 0;\n me.z = 0;\n me.w = 0;\n\n // Set up generator function.\n me.next = function() {\n var t = me.x ^ (me.x << 11);\n me.x = me.y;\n me.y = me.z;\n me.z = me.w;\n return me.w ^= (me.w >>> 19) ^ t ^ (t >>> 8);\n };\n\n if (seed === (seed | 0)) {\n // Integer seed.\n me.x = seed;\n } else {\n // String seed.\n strseed += seed;\n }\n\n // Mix in string seed, then discard an initial batch of 64 values.\n for (var k = 0; k < strseed.length + 64; k++) {\n me.x ^= strseed.charCodeAt(k) | 0;\n me.next();\n }\n}\n\nfunction copy(f, t) {\n t.x = f.x;\n t.y = f.y;\n t.z = f.z;\n t.w = f.w;\n return t;\n}\n\nfunction impl(seed, opts) {\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (typeof(state) == 'object') copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.xor128 = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n\n", "// A Javascript implementaion of the \"xorwow\" prng algorithm by\n// George Marsaglia. See http://www.jstatsoft.org/v08/i14/paper\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this, strseed = '';\n\n // Set up generator function.\n me.next = function() {\n var t = (me.x ^ (me.x >>> 2));\n me.x = me.y; me.y = me.z; me.z = me.w; me.w = me.v;\n return (me.d = (me.d + 362437 | 0)) +\n (me.v = (me.v ^ (me.v << 4)) ^ (t ^ (t << 1))) | 0;\n };\n\n me.x = 0;\n me.y = 0;\n me.z = 0;\n me.w = 0;\n me.v = 0;\n\n if (seed === (seed | 0)) {\n // Integer seed.\n me.x = seed;\n } else {\n // String seed.\n strseed += seed;\n }\n\n // Mix in string seed, then discard an initial batch of 64 values.\n for (var k = 0; k < strseed.length + 64; k++) {\n me.x ^= strseed.charCodeAt(k) | 0;\n if (k == strseed.length) {\n me.d = me.x << 10 ^ me.x >>> 4;\n }\n me.next();\n }\n}\n\nfunction copy(f, t) {\n t.x = f.x;\n t.y = f.y;\n t.z = f.z;\n t.w = f.w;\n t.v = f.v;\n t.d = f.d;\n return t;\n}\n\nfunction impl(seed, opts) {\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (typeof(state) == 'object') copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.xorwow = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n\n", "// A Javascript implementaion of the \"xorshift7\" algorithm by\n// Fran\u00E7ois Panneton and Pierre L'ecuyer:\n// \"On the Xorgshift Random Number Generators\"\n// http://saluc.engr.uconn.edu/refs/crypto/rng/panneton05onthexorshift.pdf\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this;\n\n // Set up generator function.\n me.next = function() {\n // Update xor generator.\n var X = me.x, i = me.i, t, v, w;\n t = X[i]; t ^= (t >>> 7); v = t ^ (t << 24);\n t = X[(i + 1) & 7]; v ^= t ^ (t >>> 10);\n t = X[(i + 3) & 7]; v ^= t ^ (t >>> 3);\n t = X[(i + 4) & 7]; v ^= t ^ (t << 7);\n t = X[(i + 7) & 7]; t = t ^ (t << 13); v ^= t ^ (t << 9);\n X[i] = v;\n me.i = (i + 1) & 7;\n return v;\n };\n\n function init(me, seed) {\n var j, w, X = [];\n\n if (seed === (seed | 0)) {\n // Seed state array using a 32-bit integer.\n w = X[0] = seed;\n } else {\n // Seed state using a string.\n seed = '' + seed;\n for (j = 0; j < seed.length; ++j) {\n X[j & 7] = (X[j & 7] << 15) ^\n (seed.charCodeAt(j) + X[(j + 1) & 7] << 13);\n }\n }\n // Enforce an array length of 8, not all zeroes.\n while (X.length < 8) X.push(0);\n for (j = 0; j < 8 && X[j] === 0; ++j);\n if (j == 8) w = X[7] = -1; else w = X[j];\n\n me.x = X;\n me.i = 0;\n\n // Discard an initial 256 values.\n for (j = 256; j > 0; --j) {\n me.next();\n }\n }\n\n init(me, seed);\n}\n\nfunction copy(f, t) {\n t.x = f.x.slice();\n t.i = f.i;\n return t;\n}\n\nfunction impl(seed, opts) {\n if (seed == null) seed = +(new Date);\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (state.x) copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.xorshift7 = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n", "// A Javascript implementaion of Richard Brent's Xorgens xor4096 algorithm.\n//\n// This fast non-cryptographic random number generator is designed for\n// use in Monte-Carlo algorithms. It combines a long-period xorshift\n// generator with a Weyl generator, and it passes all common batteries\n// of stasticial tests for randomness while consuming only a few nanoseconds\n// for each prng generated. For background on the generator, see Brent's\n// paper: \"Some long-period random number generators using shifts and xors.\"\n// http://arxiv.org/pdf/1004.3115v1.pdf\n//\n// Usage:\n//\n// var xor4096 = require('xor4096');\n// random = xor4096(1); // Seed with int32 or string.\n// assert.equal(random(), 0.1520436450538547); // (0, 1) range, 53 bits.\n// assert.equal(random.int32(), 1806534897); // signed int32, 32 bits.\n//\n// For nonzero numeric keys, this impelementation provides a sequence\n// identical to that by Brent's xorgens 3 implementaion in C. This\n// implementation also provides for initalizing the generator with\n// string seeds, or for saving and restoring the state of the generator.\n//\n// On Chrome, this prng benchmarks about 2.1 times slower than\n// Javascript's built-in Math.random().\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this;\n\n // Set up generator function.\n me.next = function() {\n var w = me.w,\n X = me.X, i = me.i, t, v;\n // Update Weyl generator.\n me.w = w = (w + 0x61c88647) | 0;\n // Update xor generator.\n v = X[(i + 34) & 127];\n t = X[i = ((i + 1) & 127)];\n v ^= v << 13;\n t ^= t << 17;\n v ^= v >>> 15;\n t ^= t >>> 12;\n // Update Xor generator array state.\n v = X[i] = v ^ t;\n me.i = i;\n // Result is the combination.\n return (v + (w ^ (w >>> 16))) | 0;\n };\n\n function init(me, seed) {\n var t, v, i, j, w, X = [], limit = 128;\n if (seed === (seed | 0)) {\n // Numeric seeds initialize v, which is used to generates X.\n v = seed;\n seed = null;\n } else {\n // String seeds are mixed into v and X one character at a time.\n seed = seed + '\\0';\n v = 0;\n limit = Math.max(limit, seed.length);\n }\n // Initialize circular array and weyl value.\n for (i = 0, j = -32; j < limit; ++j) {\n // Put the unicode characters into the array, and shuffle them.\n if (seed) v ^= seed.charCodeAt((j + 32) % seed.length);\n // After 32 shuffles, take v as the starting w value.\n if (j === 0) w = v;\n v ^= v << 10;\n v ^= v >>> 15;\n v ^= v << 4;\n v ^= v >>> 13;\n if (j >= 0) {\n w = (w + 0x61c88647) | 0; // Weyl.\n t = (X[j & 127] ^= (v + w)); // Combine xor and weyl to init array.\n i = (0 == t) ? i + 1 : 0; // Count zeroes.\n }\n }\n // We have detected all zeroes; make the key nonzero.\n if (i >= 128) {\n X[(seed && seed.length || 0) & 127] = -1;\n }\n // Run the generator 512 times to further mix the state before using it.\n // Factoring this as a function slows the main generator, so it is just\n // unrolled here. The weyl generator is not advanced while warming up.\n i = 127;\n for (j = 4 * 128; j > 0; --j) {\n v = X[(i + 34) & 127];\n t = X[i = ((i + 1) & 127)];\n v ^= v << 13;\n t ^= t << 17;\n v ^= v >>> 15;\n t ^= t >>> 12;\n X[i] = v ^ t;\n }\n // Storing state as object members is faster than using closure variables.\n me.w = w;\n me.X = X;\n me.i = i;\n }\n\n init(me, seed);\n}\n\nfunction copy(f, t) {\n t.i = f.i;\n t.w = f.w;\n t.X = f.X.slice();\n return t;\n};\n\nfunction impl(seed, opts) {\n if (seed == null) seed = +(new Date);\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (state.X) copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.xor4096 = impl;\n}\n\n})(\n this, // window object or global\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n", "// A Javascript implementaion of the \"Tyche-i\" prng algorithm by\n// Samuel Neves and Filipe Araujo.\n// See https://eden.dei.uc.pt/~sneves/pubs/2011-snfa2.pdf\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this, strseed = '';\n\n // Set up generator function.\n me.next = function() {\n var b = me.b, c = me.c, d = me.d, a = me.a;\n b = (b << 25) ^ (b >>> 7) ^ c;\n c = (c - d) | 0;\n d = (d << 24) ^ (d >>> 8) ^ a;\n a = (a - b) | 0;\n me.b = b = (b << 20) ^ (b >>> 12) ^ c;\n me.c = c = (c - d) | 0;\n me.d = (d << 16) ^ (c >>> 16) ^ a;\n return me.a = (a - b) | 0;\n };\n\n /* The following is non-inverted tyche, which has better internal\n * bit diffusion, but which is about 25% slower than tyche-i in JS.\n me.next = function() {\n var a = me.a, b = me.b, c = me.c, d = me.d;\n a = (me.a + me.b | 0) >>> 0;\n d = me.d ^ a; d = d << 16 ^ d >>> 16;\n c = me.c + d | 0;\n b = me.b ^ c; b = b << 12 ^ d >>> 20;\n me.a = a = a + b | 0;\n d = d ^ a; me.d = d = d << 8 ^ d >>> 24;\n me.c = c = c + d | 0;\n b = b ^ c;\n return me.b = (b << 7 ^ b >>> 25);\n }\n */\n\n me.a = 0;\n me.b = 0;\n me.c = 2654435769 | 0;\n me.d = 1367130551;\n\n if (seed === Math.floor(seed)) {\n // Integer seed.\n me.a = (seed / 0x100000000) | 0;\n me.b = seed | 0;\n } else {\n // String seed.\n strseed += seed;\n }\n\n // Mix in string seed, then discard an initial batch of 64 values.\n for (var k = 0; k < strseed.length + 20; k++) {\n me.b ^= strseed.charCodeAt(k) | 0;\n me.next();\n }\n}\n\nfunction copy(f, t) {\n t.a = f.a;\n t.b = f.b;\n t.c = f.c;\n t.d = f.d;\n return t;\n};\n\nfunction impl(seed, opts) {\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (typeof(state) == 'object') copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.tychei = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n\n", "/*\nCopyright 2014 David Bau.\n\nPermission is hereby granted, free of charge, to any person obtaining\na copy of this software and associated documentation files (the\n\"Software\"), to deal in the Software without restriction, including\nwithout limitation the rights to use, copy, modify, merge, publish,\ndistribute, sublicense, and/or sell copies of the Software, and to\npermit persons to whom the Software is furnished to do so, subject to\nthe following conditions:\n\nThe above copyright notice and this permission notice shall be\nincluded in all copies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND,\nEXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF\nMERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.\nIN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY\nCLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,\nTORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE\nSOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.\n\n*/\n\n(function (pool, math) {\n//\n// The following constants are related to IEEE 754 limits.\n//\nvar global = this,\n width = 256, // each RC4 output is 0 <= x < 256\n chunks = 6, // at least six RC4 outputs for each double\n digits = 52, // there are 52 significant digits in a double\n rngname = 'random', // rngname: name for Math.random and Math.seedrandom\n startdenom = math.pow(width, chunks),\n significance = math.pow(2, digits),\n overflow = significance * 2,\n mask = width - 1,\n nodecrypto; // node.js crypto module, initialized at the bottom.\n\n//\n// seedrandom()\n// This is the seedrandom function described above.\n//\nfunction seedrandom(seed, options, callback) {\n var key = [];\n options = (options == true) ? { entropy: true } : (options || {});\n\n // Flatten the seed string or build one from local entropy if needed.\n var shortseed = mixkey(flatten(\n options.entropy ? [seed, tostring(pool)] :\n (seed == null) ? autoseed() : seed, 3), key);\n\n // Use the seed to initialize an ARC4 generator.\n var arc4 = new ARC4(key);\n\n // This function returns a random double in [0, 1) that contains\n // randomness in every bit of the mantissa of the IEEE 754 value.\n var prng = function() {\n var n = arc4.g(chunks), // Start with a numerator n < 2 ^ 48\n d = startdenom, // and denominator d = 2 ^ 48.\n x = 0; // and no 'extra last byte'.\n while (n < significance) { // Fill up all significant digits by\n n = (n + x) * width; // shifting numerator and\n d *= width; // denominator and generating a\n x = arc4.g(1); // new least-significant-byte.\n }\n while (n >= overflow) { // To avoid rounding up, before adding\n n /= 2; // last byte, shift everything\n d /= 2; // right using integer math until\n x >>>= 1; // we have exactly the desired bits.\n }\n return (n + x) / d; // Form the number within [0, 1).\n };\n\n prng.int32 = function() { return arc4.g(4) | 0; }\n prng.quick = function() { return arc4.g(4) / 0x100000000; }\n prng.double = prng;\n\n // Mix the randomness into accumulated entropy.\n mixkey(tostring(arc4.S), pool);\n\n // Calling convention: what to return as a function of prng, seed, is_math.\n return (options.pass || callback ||\n function(prng, seed, is_math_call, state) {\n if (state) {\n // Load the arc4 state from the given state if it has an S array.\n if (state.S) { copy(state, arc4); }\n // Only provide the .state method if requested via options.state.\n prng.state = function() { return copy(arc4, {}); }\n }\n\n // If called as a method of Math (Math.seedrandom()), mutate\n // Math.random because that is how seedrandom.js has worked since v1.0.\n if (is_math_call) { math[rngname] = prng; return seed; }\n\n // Otherwise, it is a newer calling convention, so return the\n // prng directly.\n else return prng;\n })(\n prng,\n shortseed,\n 'global' in options ? options.global : (this == math),\n options.state);\n}\nmath['seed' + rngname] = seedrandom;\n\n//\n// ARC4\n//\n// An ARC4 implementation. The constructor takes a key in the form of\n// an array of at most (width) integers that should be 0 <= x < (width).\n//\n// The g(count) method returns a pseudorandom integer that concatenates\n// the next (count) outputs from ARC4. Its return value is a number x\n// that is in the range 0 <= x < (width ^ count).\n//\nfunction ARC4(key) {\n var t, keylen = key.length,\n me = this, i = 0, j = me.i = me.j = 0, s = me.S = [];\n\n // The empty key [] is treated as [0].\n if (!keylen) { key = [keylen++]; }\n\n // Set up S using the standard key scheduling algorithm.\n while (i < width) {\n s[i] = i++;\n }\n for (i = 0; i < width; i++) {\n s[i] = s[j = mask & (j + key[i % keylen] + (t = s[i]))];\n s[j] = t;\n }\n\n // The \"g\" method returns the next (count) outputs as one number.\n (me.g = function(count) {\n // Using instance members instead of closure state nearly doubles speed.\n var t, r = 0,\n i = me.i, j = me.j, s = me.S;\n while (count--) {\n t = s[i = mask & (i + 1)];\n r = r * width + s[mask & ((s[i] = s[j = mask & (j + t)]) + (s[j] = t))];\n }\n me.i = i; me.j = j;\n return r;\n // For robust unpredictability, the function call below automatically\n // discards an initial batch of values. This is called RC4-drop[256].\n // See http://google.com/search?q=rsa+fluhrer+response&btnI\n })(width);\n}\n\n//\n// copy()\n// Copies internal state of ARC4 to or from a plain object.\n//\nfunction copy(f, t) {\n t.i = f.i;\n t.j = f.j;\n t.S = f.S.slice();\n return t;\n};\n\n//\n// flatten()\n// Converts an object tree to nested arrays of strings.\n//\nfunction flatten(obj, depth) {\n var result = [], typ = (typeof obj), prop;\n if (depth && typ == 'object') {\n for (prop in obj) {\n try { result.push(flatten(obj[prop], depth - 1)); } catch (e) {}\n }\n }\n return (result.length ? result : typ == 'string' ? obj : obj + '\\0');\n}\n\n//\n// mixkey()\n// Mixes a string seed into a key that is an array of integers, and\n// returns a shortened string seed that is equivalent to the result key.\n//\nfunction mixkey(seed, key) {\n var stringseed = seed + '', smear, j = 0;\n while (j < stringseed.length) {\n key[mask & j] =\n mask & ((smear ^= key[mask & j] * 19) + stringseed.charCodeAt(j++));\n }\n return tostring(key);\n}\n\n//\n// autoseed()\n// Returns an object for autoseeding, using window.crypto and Node crypto\n// module if available.\n//\nfunction autoseed() {\n try {\n var out;\n if (nodecrypto && (out = nodecrypto.randomBytes)) {\n // The use of 'out' to remember randomBytes makes tight minified code.\n out = out(width);\n } else {\n out = new Uint8Array(width);\n (global.crypto || global.msCrypto).getRandomValues(out);\n }\n return tostring(out);\n } catch (e) {\n var browser = global.navigator,\n plugins = browser && browser.plugins;\n return [+new Date, global, plugins, global.screen, tostring(pool)];\n }\n}\n\n//\n// tostring()\n// Converts an array of charcodes to a string\n//\nfunction tostring(a) {\n return String.fromCharCode.apply(0, a);\n}\n\n//\n// When seedrandom.js is loaded, we immediately mix a few bits\n// from the built-in RNG into the entropy pool. Because we do\n// not want to interfere with deterministic PRNG state later,\n// seedrandom will not call math.random on its own again after\n// initialization.\n//\nmixkey(math.random(), pool);\n\n//\n// Nodejs and AMD support: export the implementation as a module using\n// either convention.\n//\nif ((typeof module) == 'object' && module.exports) {\n module.exports = seedrandom;\n // When in node.js, try using crypto package for autoseeding.\n try {\n nodecrypto = require('crypto');\n } catch (ex) {}\n} else if ((typeof define) == 'function' && define.amd) {\n define(function() { return seedrandom; });\n}\n\n// End anonymous scope, and pass initial values.\n})(\n [], // pool: entropy pool starts empty\n Math // math: package containing random, pow, and seedrandom\n);\n", "// A library of seedable RNGs implemented in Javascript.\n//\n// Usage:\n//\n// var seedrandom = require('seedrandom');\n// var random = seedrandom(1); // or any seed.\n// var x = random(); // 0 <= x < 1. Every bit is random.\n// var x = random.quick(); // 0 <= x < 1. 32 bits of randomness.\n\n// alea, a 53-bit multiply-with-carry generator by Johannes Baag\u00F8e.\n// Period: ~2^116\n// Reported to pass all BigCrush tests.\nvar alea = require('./lib/alea');\n\n// xor128, a pure xor-shift generator by George Marsaglia.\n// Period: 2^128-1.\n// Reported to fail: MatrixRank and LinearComp.\nvar xor128 = require('./lib/xor128');\n\n// xorwow, George Marsaglia's 160-bit xor-shift combined plus weyl.\n// Period: 2^192-2^32\n// Reported to fail: CollisionOver, SimpPoker, and LinearComp.\nvar xorwow = require('./lib/xorwow');\n\n// xorshift7, by Fran\u00E7ois Panneton and Pierre L'ecuyer, takes\n// a different approach: it adds robustness by allowing more shifts\n// than Marsaglia's original three. It is a 7-shift generator\n// with 256 bits, that passes BigCrush with no systmatic failures.\n// Period 2^256-1.\n// No systematic BigCrush failures reported.\nvar xorshift7 = require('./lib/xorshift7');\n\n// xor4096, by Richard Brent, is a 4096-bit xor-shift with a\n// very long period that also adds a Weyl generator. It also passes\n// BigCrush with no systematic failures. Its long period may\n// be useful if you have many generators and need to avoid\n// collisions.\n// Period: 2^4128-2^32.\n// No systematic BigCrush failures reported.\nvar xor4096 = require('./lib/xor4096');\n\n// Tyche-i, by Samuel Neves and Filipe Araujo, is a bit-shifting random\n// number generator derived from ChaCha, a modern stream cipher.\n// https://eden.dei.uc.pt/~sneves/pubs/2011-snfa2.pdf\n// Period: ~2^127\n// No systematic BigCrush failures reported.\nvar tychei = require('./lib/tychei');\n\n// The original ARC4-based prng included in this library.\n// Period: ~2^1600\nvar sr = require('./seedrandom');\n\nsr.alea = alea;\nsr.xor128 = xor128;\nsr.xorwow = xorwow;\nsr.xorshift7 = xorshift7;\nsr.xor4096 = xor4096;\nsr.tychei = tychei;\n\nmodule.exports = sr;\n", "", "", "", "\nvar WasmBackendModuleThreadedSimd = (function() {\n var _scriptDir = typeof document !== 'undefined' && document.currentScript ? document.currentScript.src : undefined;\n if (typeof __filename !== 'undefined') _scriptDir = _scriptDir || __filename;\n return (\nfunction(WasmBackendModuleThreadedSimd) {\n WasmBackendModuleThreadedSimd = WasmBackendModuleThreadedSimd || {};\n\nfunction GROWABLE_HEAP_I8(){if(wasmMemory.buffer!=buffer){updateGlobalBufferAndViews(wasmMemory.buffer)}return HEAP8}function GROWABLE_HEAP_U8(){if(wasmMemory.buffer!=buffer){updateGlobalBufferAndViews(wasmMemory.buffer)}return HEAPU8}function GROWABLE_HEAP_I32(){if(wasmMemory.buffer!=buffer){updateGlobalBufferAndViews(wasmMemory.buffer)}return HEAP32}function GROWABLE_HEAP_U32(){if(wasmMemory.buffer!=buffer){updateGlobalBufferAndViews(wasmMemory.buffer)}return HEAPU32}function GROWABLE_HEAP_F64(){if(wasmMemory.buffer!=buffer){updateGlobalBufferAndViews(wasmMemory.buffer)}return HEAPF64}var Module=typeof WasmBackendModuleThreadedSimd!==\"undefined\"?WasmBackendModuleThreadedSimd:{};var moduleOverrides={};var key;for(key in Module){if(Module.hasOwnProperty(key)){moduleOverrides[key]=Module[key]}}var arguments_=[];var thisProgram=\"./this.program\";var quit_=function(status,toThrow){throw toThrow};var ENVIRONMENT_IS_WEB=false;var ENVIRONMENT_IS_WORKER=false;var ENVIRONMENT_IS_NODE=false;var ENVIRONMENT_IS_SHELL=false;ENVIRONMENT_IS_WEB=typeof window===\"object\";ENVIRONMENT_IS_WORKER=typeof importScripts===\"function\";ENVIRONMENT_IS_NODE=typeof process===\"object\"&&typeof process.versions===\"object\"&&typeof process.versions.node===\"string\";ENVIRONMENT_IS_SHELL=!ENVIRONMENT_IS_WEB&&!ENVIRONMENT_IS_NODE&&!ENVIRONMENT_IS_WORKER;var ENVIRONMENT_IS_PTHREAD=Module[\"ENVIRONMENT_IS_PTHREAD\"]||false;if(ENVIRONMENT_IS_PTHREAD){buffer=Module[\"buffer\"];DYNAMIC_BASE=Module[\"DYNAMIC_BASE\"];DYNAMICTOP_PTR=Module[\"DYNAMICTOP_PTR\"]}var scriptDirectory=\"\";function locateFile(path){if(Module[\"locateFile\"]){return Module[\"locateFile\"](path,scriptDirectory)}return scriptDirectory+path}var read_,readAsync,readBinary,setWindowTitle;var nodeFS;var nodePath;if(ENVIRONMENT_IS_NODE){if(ENVIRONMENT_IS_WORKER){scriptDirectory=require(\"path\").dirname(scriptDirectory)+\"/\"}else{scriptDirectory=__dirname+\"/\"}read_=function shell_read(filename,binary){if(!nodeFS)nodeFS=require(\"fs\");if(!nodePath)nodePath=require(\"path\");filename=nodePath[\"normalize\"](filename);return nodeFS[\"readFileSync\"](filename,binary?null:\"utf8\")};readBinary=function readBinary(filename){var ret=read_(filename,true);if(!ret.buffer){ret=new Uint8Array(ret)}assert(ret.buffer);return ret};if(process[\"argv\"].length>1){thisProgram=process[\"argv\"][1].replace(/\\\\/g,\"/\")}arguments_=process[\"argv\"].slice(2);process[\"on\"](\"uncaughtException\",function(ex){if(!(ex instanceof ExitStatus)){throw ex}});process[\"on\"](\"unhandledRejection\",abort);quit_=function(status){process[\"exit\"](status)};Module[\"inspect\"]=function(){return\"[Emscripten Module object]\"};var nodeWorkerThreads;try{nodeWorkerThreads=require(\"worker_threads\")}catch(e){console.error('The \"worker_threads\" module is not supported in this node.js build - perhaps a newer version is needed?');throw e}Worker=nodeWorkerThreads.Worker}else if(ENVIRONMENT_IS_SHELL){if(typeof read!=\"undefined\"){read_=function shell_read(f){return read(f)}}readBinary=function readBinary(f){var data;if(typeof readbuffer===\"function\"){return new Uint8Array(readbuffer(f))}data=read(f,\"binary\");assert(typeof data===\"object\");return data};if(typeof scriptArgs!=\"undefined\"){arguments_=scriptArgs}else if(typeof arguments!=\"undefined\"){arguments_=arguments}if(typeof quit===\"function\"){quit_=function(status){quit(status)}}if(typeof print!==\"undefined\"){if(typeof console===\"undefined\")console={};console.log=print;console.warn=console.error=typeof printErr!==\"undefined\"?printErr:print}}else if(ENVIRONMENT_IS_WEB||ENVIRONMENT_IS_WORKER){if(ENVIRONMENT_IS_WORKER){scriptDirectory=self.location.href}else if(document.currentScript){scriptDirectory=document.currentScript.src}if(typeof _scriptDir !== \"undefined\" && _scriptDir){scriptDirectory=_scriptDir}if(scriptDirectory.indexOf(\"blob:\")!==0){scriptDirectory=scriptDirectory.substr(0,scriptDirectory.lastIndexOf(\"/\")+1)}else{scriptDirectory=\"\"}if(ENVIRONMENT_IS_NODE){read_=function shell_read(filename,binary){if(!nodeFS)nodeFS=require(\"fs\");if(!nodePath)nodePath=require(\"path\");filename=nodePath[\"normalize\"](filename);return nodeFS[\"readFileSync\"](filename,binary?null:\"utf8\")};readBinary=function readBinary(filename){var ret=read_(filename,true);if(!ret.buffer){ret=new Uint8Array(ret)}assert(ret.buffer);return ret}}else{read_=function shell_read(url){var xhr=new XMLHttpRequest;xhr.open(\"GET\",url,false);xhr.send(null);return xhr.responseText};if(ENVIRONMENT_IS_WORKER){readBinary=function readBinary(url){var xhr=new XMLHttpRequest;xhr.open(\"GET\",url,false);xhr.responseType=\"arraybuffer\";xhr.send(null);return new Uint8Array(xhr.response)}}readAsync=function readAsync(url,onload,onerror){var xhr=new XMLHttpRequest;xhr.open(\"GET\",url,true);xhr.responseType=\"arraybuffer\";xhr.onload=function xhr_onload(){if(xhr.status==200||xhr.status==0&&xhr.response){onload(xhr.response);return}onerror()};xhr.onerror=onerror;xhr.send(null)}}setWindowTitle=function(title){document.title=title}}else{}if(ENVIRONMENT_IS_NODE){if(typeof performance===\"undefined\"){performance=require(\"perf_hooks\").performance}}var out=Module[\"print\"]||console.log.bind(console);var err=Module[\"printErr\"]||console.warn.bind(console);for(key in moduleOverrides){if(moduleOverrides.hasOwnProperty(key)){Module[key]=moduleOverrides[key]}}moduleOverrides=null;if(Module[\"arguments\"])arguments_=Module[\"arguments\"];if(Module[\"thisProgram\"])thisProgram=Module[\"thisProgram\"];if(Module[\"quit\"])quit_=Module[\"quit\"];var Atomics_load=Atomics.load;var Atomics_store=Atomics.store;var Atomics_compareExchange=Atomics.compareExchange;var wasmBinary;if(Module[\"wasmBinary\"])wasmBinary=Module[\"wasmBinary\"];var noExitRuntime;if(Module[\"noExitRuntime\"])noExitRuntime=Module[\"noExitRuntime\"];if(typeof WebAssembly!==\"object\"){err(\"no native wasm support detected\")}var wasmMemory;var wasmTable=new WebAssembly.Table({\"initial\":171,\"maximum\":171+0,\"element\":\"anyfunc\"});var wasmModule;var threadInfoStruct=0;var selfThreadId=0;var ABORT=false;var EXITSTATUS=0;function assert(condition,text){if(!condition){abort(\"Assertion failed: \"+text)}}function getCFunc(ident){var func=Module[\"_\"+ident];assert(func,\"Cannot call unknown function \"+ident+\", make sure it is exported\");return func}function ccall(ident,returnType,argTypes,args,opts){var toC={\"string\":function(str){var ret=0;if(str!==null&&str!==undefined&&str!==0){var len=(str.length<<2)+1;ret=stackAlloc(len);stringToUTF8(str,ret,len)}return ret},\"array\":function(arr){var ret=stackAlloc(arr.length);writeArrayToMemory(arr,ret);return ret}};function convertReturnValue(ret){if(returnType===\"string\")return UTF8ToString(ret);if(returnType===\"boolean\")return Boolean(ret);return ret}var func=getCFunc(ident);var cArgs=[];var stack=0;if(args){for(var i=0;i=endIdx)){var u0=heap[idx++];if(!u0)return str;if(!(u0&128)){str+=String.fromCharCode(u0);continue}var u1=heap[idx++]&63;if((u0&224)==192){str+=String.fromCharCode((u0&31)<<6|u1);continue}var u2=heap[idx++]&63;if((u0&240)==224){u0=(u0&15)<<12|u1<<6|u2}else{u0=(u0&7)<<18|u1<<12|u2<<6|heap[idx++]&63}if(u0<65536){str+=String.fromCharCode(u0)}else{var ch=u0-65536;str+=String.fromCharCode(55296|ch>>10,56320|ch&1023)}}return str}function UTF8ToString(ptr,maxBytesToRead){return ptr?UTF8ArrayToString(GROWABLE_HEAP_U8(),ptr,maxBytesToRead):\"\"}function stringToUTF8Array(str,heap,outIdx,maxBytesToWrite){if(!(maxBytesToWrite>0))return 0;var startIdx=outIdx;var endIdx=outIdx+maxBytesToWrite-1;for(var i=0;i=55296&&u<=57343){var u1=str.charCodeAt(++i);u=65536+((u&1023)<<10)|u1&1023}if(u<=127){if(outIdx>=endIdx)break;heap[outIdx++]=u}else if(u<=2047){if(outIdx+1>=endIdx)break;heap[outIdx++]=192|u>>6;heap[outIdx++]=128|u&63}else if(u<=65535){if(outIdx+2>=endIdx)break;heap[outIdx++]=224|u>>12;heap[outIdx++]=128|u>>6&63;heap[outIdx++]=128|u&63}else{if(outIdx+3>=endIdx)break;heap[outIdx++]=240|u>>18;heap[outIdx++]=128|u>>12&63;heap[outIdx++]=128|u>>6&63;heap[outIdx++]=128|u&63}}heap[outIdx]=0;return outIdx-startIdx}function stringToUTF8(str,outPtr,maxBytesToWrite){return stringToUTF8Array(str,GROWABLE_HEAP_U8(),outPtr,maxBytesToWrite)}function lengthBytesUTF8(str){var len=0;for(var i=0;i=55296&&u<=57343)u=65536+((u&1023)<<10)|str.charCodeAt(++i)&1023;if(u<=127)++len;else if(u<=2047)len+=2;else if(u<=65535)len+=3;else len+=4}return len}function writeArrayToMemory(array,buffer){GROWABLE_HEAP_I8().set(array,buffer)}var WASM_PAGE_SIZE=65536;function alignUp(x,multiple){if(x%multiple>0){x+=multiple-x%multiple}return x}var buffer,HEAP8,HEAPU8,HEAP16,HEAPU16,HEAP32,HEAPU32,HEAPF32,HEAPF64;function updateGlobalBufferAndViews(buf){buffer=buf;Module[\"HEAP8\"]=HEAP8=new Int8Array(buf);Module[\"HEAP16\"]=HEAP16=new Int16Array(buf);Module[\"HEAP32\"]=HEAP32=new Int32Array(buf);Module[\"HEAPU8\"]=HEAPU8=new Uint8Array(buf);Module[\"HEAPU16\"]=HEAPU16=new Uint16Array(buf);Module[\"HEAPU32\"]=HEAPU32=new Uint32Array(buf);Module[\"HEAPF32\"]=HEAPF32=new Float32Array(buf);Module[\"HEAPF64\"]=HEAPF64=new Float64Array(buf)}var STACK_BASE=5256464,STACKTOP=STACK_BASE,STACK_MAX=13584,DYNAMIC_BASE=5256464,DYNAMICTOP_PTR=12656;if(ENVIRONMENT_IS_PTHREAD){}var INITIAL_INITIAL_MEMORY=Module[\"INITIAL_MEMORY\"]||16777216;if(ENVIRONMENT_IS_PTHREAD){wasmMemory=Module[\"wasmMemory\"];buffer=Module[\"buffer\"]}else{if(Module[\"wasmMemory\"]){wasmMemory=Module[\"wasmMemory\"]}else{wasmMemory=new WebAssembly.Memory({\"initial\":INITIAL_INITIAL_MEMORY/WASM_PAGE_SIZE,\"maximum\":2147483648/WASM_PAGE_SIZE,\"shared\":true});if(!(wasmMemory.buffer instanceof SharedArrayBuffer)){err(\"requested a shared WebAssembly.Memory but the returned buffer is not a SharedArrayBuffer, indicating that while the browser has SharedArrayBuffer it does not have WebAssembly threads support - you may need to set a flag\");if(ENVIRONMENT_IS_NODE){console.log(\"(on node you may need: --experimental-wasm-threads --experimental-wasm-bulk-memory and also use a recent version)\")}throw Error(\"bad memory\")}}}if(wasmMemory){buffer=wasmMemory.buffer}INITIAL_INITIAL_MEMORY=buffer.byteLength;updateGlobalBufferAndViews(buffer);if(!ENVIRONMENT_IS_PTHREAD){GROWABLE_HEAP_I32()[DYNAMICTOP_PTR>>2]=DYNAMIC_BASE}function callRuntimeCallbacks(callbacks){while(callbacks.length>0){var callback=callbacks.shift();if(typeof callback==\"function\"){callback(Module);continue}var func=callback.func;if(typeof func===\"number\"){if(callback.arg===undefined){Module[\"dynCall_v\"](func)}else{Module[\"dynCall_vi\"](func,callback.arg)}}else{func(callback.arg===undefined?null:callback.arg)}}}var __ATPRERUN__=[];var __ATINIT__=[];var __ATMAIN__=[];var __ATEXIT__=[];var __ATPOSTRUN__=[];var runtimeInitialized=false;if(ENVIRONMENT_IS_PTHREAD)runtimeInitialized=true;function preRun(){if(ENVIRONMENT_IS_PTHREAD)return;if(Module[\"preRun\"]){if(typeof Module[\"preRun\"]==\"function\")Module[\"preRun\"]=[Module[\"preRun\"]];while(Module[\"preRun\"].length){addOnPreRun(Module[\"preRun\"].shift())}}callRuntimeCallbacks(__ATPRERUN__)}function initRuntime(){runtimeInitialized=true;callRuntimeCallbacks(__ATINIT__)}function preMain(){if(ENVIRONMENT_IS_PTHREAD)return;callRuntimeCallbacks(__ATMAIN__)}function postRun(){if(ENVIRONMENT_IS_PTHREAD)return;if(Module[\"postRun\"]){if(typeof Module[\"postRun\"]==\"function\")Module[\"postRun\"]=[Module[\"postRun\"]];while(Module[\"postRun\"].length){addOnPostRun(Module[\"postRun\"].shift())}}callRuntimeCallbacks(__ATPOSTRUN__)}function addOnPreRun(cb){__ATPRERUN__.unshift(cb)}function addOnPostRun(cb){__ATPOSTRUN__.unshift(cb)}var Math_ceil=Math.ceil;var Math_floor=Math.floor;var runDependencies=0;var runDependencyWatcher=null;var dependenciesFulfilled=null;function addRunDependency(id){assert(!ENVIRONMENT_IS_PTHREAD,\"addRunDependency cannot be used in a pthread worker\");runDependencies++;if(Module[\"monitorRunDependencies\"]){Module[\"monitorRunDependencies\"](runDependencies)}}function removeRunDependency(id){runDependencies--;if(Module[\"monitorRunDependencies\"]){Module[\"monitorRunDependencies\"](runDependencies)}if(runDependencies==0){if(runDependencyWatcher!==null){clearInterval(runDependencyWatcher);runDependencyWatcher=null}if(dependenciesFulfilled){var callback=dependenciesFulfilled;dependenciesFulfilled=null;callback()}}}Module[\"preloadedImages\"]={};Module[\"preloadedAudios\"]={};function abort(what){if(Module[\"onAbort\"]){Module[\"onAbort\"](what)}if(ENVIRONMENT_IS_PTHREAD)console.error(\"Pthread aborting at \"+(new Error).stack);what+=\"\";out(what);err(what);ABORT=true;EXITSTATUS=1;what=\"abort(\"+what+\"). Build with -s ASSERTIONS=1 for more info.\";throw new WebAssembly.RuntimeError(what)}function hasPrefix(str,prefix){return String.prototype.startsWith?str.startsWith(prefix):str.indexOf(prefix)===0}var dataURIPrefix=\"data:application/octet-stream;base64,\";function isDataURI(filename){return hasPrefix(filename,dataURIPrefix)}var fileURIPrefix=\"file://\";function isFileURI(filename){return hasPrefix(filename,fileURIPrefix)}var wasmBinaryFile=\"tfjs-backend-wasm-threaded-simd.wasm\";if(!isDataURI(wasmBinaryFile)){wasmBinaryFile=locateFile(wasmBinaryFile)}function getBinary(){try{if(wasmBinary){return new Uint8Array(wasmBinary)}if(readBinary){return readBinary(wasmBinaryFile)}else{throw\"both async and sync fetching of the wasm failed\"}}catch(err){abort(err)}}function getBinaryPromise(){if(!wasmBinary&&(ENVIRONMENT_IS_WEB||ENVIRONMENT_IS_WORKER)&&typeof fetch===\"function\"&&!isFileURI(wasmBinaryFile)){return fetch(wasmBinaryFile,{credentials:\"same-origin\"}).then(function(response){if(!response[\"ok\"]){throw\"failed to load wasm binary file at '\"+wasmBinaryFile+\"'\"}return response[\"arrayBuffer\"]()}).catch(function(){return getBinary()})}return new Promise(function(resolve,reject){resolve(getBinary())})}function createWasm(){var info={\"a\":asmLibraryArg};function receiveInstance(instance,module){var exports=instance.exports;Module[\"asm\"]=exports;wasmModule=module;if(!ENVIRONMENT_IS_PTHREAD){var numWorkersToLoad=PThread.unusedWorkers.length;PThread.unusedWorkers.forEach(function(w){PThread.loadWasmModuleToWorker(w,function(){if(!--numWorkersToLoad)removeRunDependency(\"wasm-instantiate\")})})}}if(!ENVIRONMENT_IS_PTHREAD){addRunDependency(\"wasm-instantiate\")}function receiveInstantiatedSource(output){receiveInstance(output[\"instance\"],output[\"module\"])}function instantiateArrayBuffer(receiver){return getBinaryPromise().then(function(binary){return WebAssembly.instantiate(binary,info)}).then(receiver,function(reason){err(\"failed to asynchronously prepare wasm: \"+reason);abort(reason)})}function instantiateAsync(){if(!wasmBinary&&typeof WebAssembly.instantiateStreaming===\"function\"&&!isDataURI(wasmBinaryFile)&&!isFileURI(wasmBinaryFile)&&typeof fetch===\"function\"){fetch(wasmBinaryFile,{credentials:\"same-origin\"}).then(function(response){var result=WebAssembly.instantiateStreaming(response,info);return result.then(receiveInstantiatedSource,function(reason){err(\"wasm streaming compile failed: \"+reason);err(\"falling back to ArrayBuffer instantiation\");instantiateArrayBuffer(receiveInstantiatedSource)})})}else{return instantiateArrayBuffer(receiveInstantiatedSource)}}if(Module[\"instantiateWasm\"]){try{var exports=Module[\"instantiateWasm\"](info,receiveInstance);return exports}catch(e){err(\"Module.instantiateWasm callback failed with error: \"+e);return false}}instantiateAsync();return{}}var ASM_CONSTS={};function initPthreadsJS(){PThread.initRuntime()}if(!ENVIRONMENT_IS_PTHREAD)__ATINIT__.push({func:function(){___wasm_call_ctors()}});var __pthread_ptr=0;var __pthread_is_main_runtime_thread=0;var __pthread_is_main_browser_thread=0;function __register_pthread_ptr(pthreadPtr,isMainBrowserThread,isMainRuntimeThread){pthreadPtr=pthreadPtr|0;isMainBrowserThread=isMainBrowserThread|0;isMainRuntimeThread=isMainRuntimeThread|0;__pthread_ptr=pthreadPtr;__pthread_is_main_browser_thread=isMainBrowserThread;__pthread_is_main_runtime_thread=isMainRuntimeThread}Module[\"__register_pthread_ptr\"]=__register_pthread_ptr;var ERRNO_CODES={EPERM:63,ENOENT:44,ESRCH:71,EINTR:27,EIO:29,ENXIO:60,E2BIG:1,ENOEXEC:45,EBADF:8,ECHILD:12,EAGAIN:6,EWOULDBLOCK:6,ENOMEM:48,EACCES:2,EFAULT:21,ENOTBLK:105,EBUSY:10,EEXIST:20,EXDEV:75,ENODEV:43,ENOTDIR:54,EISDIR:31,EINVAL:28,ENFILE:41,EMFILE:33,ENOTTY:59,ETXTBSY:74,EFBIG:22,ENOSPC:51,ESPIPE:70,EROFS:69,EMLINK:34,EPIPE:64,EDOM:18,ERANGE:68,ENOMSG:49,EIDRM:24,ECHRNG:106,EL2NSYNC:156,EL3HLT:107,EL3RST:108,ELNRNG:109,EUNATCH:110,ENOCSI:111,EL2HLT:112,EDEADLK:16,ENOLCK:46,EBADE:113,EBADR:114,EXFULL:115,ENOANO:104,EBADRQC:103,EBADSLT:102,EDEADLOCK:16,EBFONT:101,ENOSTR:100,ENODATA:116,ETIME:117,ENOSR:118,ENONET:119,ENOPKG:120,EREMOTE:121,ENOLINK:47,EADV:122,ESRMNT:123,ECOMM:124,EPROTO:65,EMULTIHOP:36,EDOTDOT:125,EBADMSG:9,ENOTUNIQ:126,EBADFD:127,EREMCHG:128,ELIBACC:129,ELIBBAD:130,ELIBSCN:131,ELIBMAX:132,ELIBEXEC:133,ENOSYS:52,ENOTEMPTY:55,ENAMETOOLONG:37,ELOOP:32,EOPNOTSUPP:138,EPFNOSUPPORT:139,ECONNRESET:15,ENOBUFS:42,EAFNOSUPPORT:5,EPROTOTYPE:67,ENOTSOCK:57,ENOPROTOOPT:50,ESHUTDOWN:140,ECONNREFUSED:14,EADDRINUSE:3,ECONNABORTED:13,ENETUNREACH:40,ENETDOWN:38,ETIMEDOUT:73,EHOSTDOWN:142,EHOSTUNREACH:23,EINPROGRESS:26,EALREADY:7,EDESTADDRREQ:17,EMSGSIZE:35,EPROTONOSUPPORT:66,ESOCKTNOSUPPORT:137,EADDRNOTAVAIL:4,ENETRESET:39,EISCONN:30,ENOTCONN:53,ETOOMANYREFS:141,EUSERS:136,EDQUOT:19,ESTALE:72,ENOTSUP:138,ENOMEDIUM:148,EILSEQ:25,EOVERFLOW:61,ECANCELED:11,ENOTRECOVERABLE:56,EOWNERDEAD:62,ESTRPIPE:135};var __main_thread_futex_wait_address=13568;function _emscripten_futex_wake(addr,count){if(addr<=0||addr>GROWABLE_HEAP_I8().length||addr&3!=0||count<0)return-28;if(count==0)return 0;if(count>=2147483647)count=Infinity;var mainThreadWaitAddress=Atomics.load(GROWABLE_HEAP_I32(),__main_thread_futex_wait_address>>2);var mainThreadWoken=0;if(mainThreadWaitAddress==addr){var loadedAddr=Atomics.compareExchange(GROWABLE_HEAP_I32(),__main_thread_futex_wait_address>>2,mainThreadWaitAddress,0);if(loadedAddr==mainThreadWaitAddress){--count;mainThreadWoken=1;if(count<=0)return 1}}var ret=Atomics.notify(GROWABLE_HEAP_I32(),addr>>2,count);if(ret>=0)return ret+mainThreadWoken;throw\"Atomics.notify returned an unexpected value \"+ret}Module[\"_emscripten_futex_wake\"]=_emscripten_futex_wake;function __kill_thread(pthread_ptr){if(ENVIRONMENT_IS_PTHREAD)throw\"Internal Error! _kill_thread() can only ever be called from main application thread!\";if(!pthread_ptr)throw\"Internal Error! Null pthread_ptr in _kill_thread!\";GROWABLE_HEAP_I32()[pthread_ptr+12>>2]=0;var pthread=PThread.pthreads[pthread_ptr];pthread.worker.terminate();PThread.freeThreadData(pthread);PThread.runningWorkers.splice(PThread.runningWorkers.indexOf(pthread.worker),1);pthread.worker.pthread=undefined}function __cancel_thread(pthread_ptr){if(ENVIRONMENT_IS_PTHREAD)throw\"Internal Error! _cancel_thread() can only ever be called from main application thread!\";if(!pthread_ptr)throw\"Internal Error! Null pthread_ptr in _cancel_thread!\";var pthread=PThread.pthreads[pthread_ptr];pthread.worker.postMessage({\"cmd\":\"cancel\"})}function __cleanup_thread(pthread_ptr){if(ENVIRONMENT_IS_PTHREAD)throw\"Internal Error! _cleanup_thread() can only ever be called from main application thread!\";if(!pthread_ptr)throw\"Internal Error! Null pthread_ptr in _cleanup_thread!\";GROWABLE_HEAP_I32()[pthread_ptr+12>>2]=0;var pthread=PThread.pthreads[pthread_ptr];if(pthread){var worker=pthread.worker;PThread.returnWorkerToPool(worker)}}var PThread={MAIN_THREAD_ID:1,mainThreadInfo:{schedPolicy:0,schedPrio:0},unusedWorkers:[],runningWorkers:[],initRuntime:function(){__register_pthread_ptr(PThread.mainThreadBlock,!ENVIRONMENT_IS_WORKER,1);_emscripten_register_main_browser_thread_id(PThread.mainThreadBlock)},initMainThreadBlock:function(){var pthreadPoolSize=8;for(var i=0;i>2]=PThread.mainThreadBlock;var headPtr=PThread.mainThreadBlock+156;GROWABLE_HEAP_I32()[headPtr>>2]=headPtr;var tlsMemory=13056;for(var i=0;i<128;++i)GROWABLE_HEAP_U32()[tlsMemory/4+i]=0;Atomics.store(GROWABLE_HEAP_U32(),PThread.mainThreadBlock+104>>2,tlsMemory);Atomics.store(GROWABLE_HEAP_U32(),PThread.mainThreadBlock+40>>2,PThread.mainThreadBlock);Atomics.store(GROWABLE_HEAP_U32(),PThread.mainThreadBlock+44>>2,42)},initWorker:function(){},pthreads:{},exitHandlers:null,setThreadStatus:function(){},runExitHandlers:function(){if(PThread.exitHandlers!==null){while(PThread.exitHandlers.length>0){PThread.exitHandlers.pop()()}PThread.exitHandlers=null}if(ENVIRONMENT_IS_PTHREAD&&threadInfoStruct)___pthread_tsd_run_dtors()},threadExit:function(exitCode){var tb=_pthread_self();if(tb){Atomics.store(GROWABLE_HEAP_U32(),tb+4>>2,exitCode);Atomics.store(GROWABLE_HEAP_U32(),tb+0>>2,1);Atomics.store(GROWABLE_HEAP_U32(),tb+60>>2,1);Atomics.store(GROWABLE_HEAP_U32(),tb+64>>2,0);PThread.runExitHandlers();_emscripten_futex_wake(tb+0,2147483647);__register_pthread_ptr(0,0,0);threadInfoStruct=0;if(ENVIRONMENT_IS_PTHREAD){postMessage({\"cmd\":\"exit\"})}}},threadCancel:function(){PThread.runExitHandlers();Atomics.store(GROWABLE_HEAP_U32(),threadInfoStruct+4>>2,-1);Atomics.store(GROWABLE_HEAP_U32(),threadInfoStruct+0>>2,1);_emscripten_futex_wake(threadInfoStruct+0,2147483647);threadInfoStruct=selfThreadId=0;__register_pthread_ptr(0,0,0);postMessage({\"cmd\":\"cancelDone\"})},terminateAllThreads:function(){for(var t in PThread.pthreads){var pthread=PThread.pthreads[t];if(pthread&&pthread.worker){PThread.returnWorkerToPool(pthread.worker)}}PThread.pthreads={};for(var i=0;i>2];GROWABLE_HEAP_I32()[pthread.threadInfoStruct+104>>2]=0;_free(tlsMemory);_free(pthread.threadInfoStruct)}pthread.threadInfoStruct=0;if(pthread.allocatedOwnStack&&pthread.stackBase)_free(pthread.stackBase);pthread.stackBase=0;if(pthread.worker)pthread.worker.pthread=null},returnWorkerToPool:function(worker){delete PThread.pthreads[worker.pthread.thread];PThread.unusedWorkers.push(worker);PThread.runningWorkers.splice(PThread.runningWorkers.indexOf(worker),1);PThread.freeThreadData(worker.pthread);worker.pthread=undefined},receiveObjectTransfer:function(data){},loadWasmModuleToWorker:function(worker,onFinishedLoading){worker.onmessage=function(e){var d=e[\"data\"];var cmd=d[\"cmd\"];if(worker.pthread)PThread.currentProxiedOperationCallerThread=worker.pthread.threadInfoStruct;if(d[\"targetThread\"]&&d[\"targetThread\"]!=_pthread_self()){var thread=PThread.pthreads[d.targetThread];if(thread){thread.worker.postMessage(e.data,d[\"transferList\"])}else{console.error('Internal error! Worker sent a message \"'+cmd+'\" to target pthread '+d[\"targetThread\"]+\", but that thread no longer exists!\")}PThread.currentProxiedOperationCallerThread=undefined;return}if(cmd===\"processQueuedMainThreadWork\"){_emscripten_main_thread_process_queued_calls()}else if(cmd===\"spawnThread\"){__spawn_thread(e.data)}else if(cmd===\"cleanupThread\"){__cleanup_thread(d[\"thread\"])}else if(cmd===\"killThread\"){__kill_thread(d[\"thread\"])}else if(cmd===\"cancelThread\"){__cancel_thread(d[\"thread\"])}else if(cmd===\"loaded\"){worker.loaded=true;if(onFinishedLoading)onFinishedLoading(worker);if(worker.runPthread){worker.runPthread();delete worker.runPthread}}else if(cmd===\"print\"){out(\"Thread \"+d[\"threadId\"]+\": \"+d[\"text\"])}else if(cmd===\"printErr\"){err(\"Thread \"+d[\"threadId\"]+\": \"+d[\"text\"])}else if(cmd===\"alert\"){alert(\"Thread \"+d[\"threadId\"]+\": \"+d[\"text\"])}else if(cmd===\"exit\"){var detached=worker.pthread&&Atomics.load(GROWABLE_HEAP_U32(),worker.pthread.thread+68>>2);if(detached){PThread.returnWorkerToPool(worker)}}else if(cmd===\"cancelDone\"){PThread.returnWorkerToPool(worker)}else if(cmd===\"objectTransfer\"){PThread.receiveObjectTransfer(e.data)}else if(e.data.target===\"setimmediate\"){worker.postMessage(e.data)}else{err(\"worker sent an unknown command \"+cmd)}PThread.currentProxiedOperationCallerThread=undefined};worker.onerror=function(e){err(\"pthread sent an error! \"+e.filename+\":\"+e.lineno+\": \"+e.message)};if(ENVIRONMENT_IS_NODE){worker.on(\"message\",function(data){worker.onmessage({data:data})});worker.on(\"error\",function(data){worker.onerror(data)});worker.on(\"exit\",function(data){console.log(\"worker exited - TODO: update the worker queue?\")})}worker.postMessage({\"cmd\":\"load\",\"urlOrBlob\":Module[\"mainScriptUrlOrBlob\"]||_scriptDir,\"wasmMemory\":wasmMemory,\"wasmModule\":wasmModule,\"DYNAMIC_BASE\":DYNAMIC_BASE,\"DYNAMICTOP_PTR\":DYNAMICTOP_PTR})},allocateUnusedWorker:function(){var pthreadMainJs=locateFile(\"tfjs-backend-wasm-threaded-simd.worker.js\");PThread.unusedWorkers.push(new Worker(pthreadMainJs))},getNewWorker:function(){if(PThread.unusedWorkers.length==0){PThread.allocateUnusedWorker();PThread.loadWasmModuleToWorker(PThread.unusedWorkers[0])}if(PThread.unusedWorkers.length>0)return PThread.unusedWorkers.pop();else return null},busySpinWait:function(msecs){var t=performance.now()+msecs;while(performance.now()>2]=value;return value}function _atexit(func,arg){if(ENVIRONMENT_IS_PTHREAD)return _emscripten_proxy_to_main_thread_js(1,1,func,arg);__ATEXIT__.unshift({func:func,arg:arg})}function __emscripten_notify_thread_queue(targetThreadId,mainThreadId){if(targetThreadId==mainThreadId){postMessage({\"cmd\":\"processQueuedMainThreadWork\"})}else if(ENVIRONMENT_IS_PTHREAD){postMessage({\"targetThread\":targetThreadId,\"cmd\":\"processThreadQueue\"})}else{var pthread=PThread.pthreads[targetThreadId];var worker=pthread&&pthread.worker;if(!worker){return}worker.postMessage({\"cmd\":\"processThreadQueue\"})}return 1}function _abort(){abort()}function _emscripten_conditional_set_current_thread_status(expectedStatus,newStatus){expectedStatus=expectedStatus|0;newStatus=newStatus|0}function _emscripten_futex_wait(addr,val,timeout){if(addr<=0||addr>GROWABLE_HEAP_I8().length||addr&3!=0)return-28;if(ENVIRONMENT_IS_WORKER){var ret=Atomics.wait(GROWABLE_HEAP_I32(),addr>>2,val,timeout);if(ret===\"timed-out\")return-73;if(ret===\"not-equal\")return-6;if(ret===\"ok\")return 0;throw\"Atomics.wait returned an unexpected value \"+ret}else{var loadedVal=Atomics.load(GROWABLE_HEAP_I32(),addr>>2);if(val!=loadedVal)return-6;var tNow=performance.now();var tEnd=tNow+timeout;Atomics.store(GROWABLE_HEAP_I32(),__main_thread_futex_wait_address>>2,addr);var ourWaitAddress=addr;while(addr==ourWaitAddress){tNow=performance.now();if(tNow>tEnd){return-73}_emscripten_main_thread_process_queued_calls();addr=Atomics.load(GROWABLE_HEAP_I32(),__main_thread_futex_wait_address>>2)}return 0}}function _emscripten_is_main_browser_thread(){return __pthread_is_main_browser_thread|0}function _emscripten_is_main_runtime_thread(){return __pthread_is_main_runtime_thread|0}function _emscripten_memcpy_big(dest,src,num){GROWABLE_HEAP_U8().copyWithin(dest,src,src+num)}function _emscripten_num_logical_cores(){return navigator[\"hardwareConcurrency\"]}function _emscripten_proxy_to_main_thread_js(index,sync){var numCallArgs=arguments.length-2;var stack=stackSave();var args=stackAlloc(numCallArgs*8);var b=args>>3;for(var i=0;i>3]);buf+=8}else{buf=buf+3&~3;args.push(GROWABLE_HEAP_I32()[buf>>2]);buf+=4}}return args}function _emscripten_receive_on_main_thread_js(index,numCallArgs,args){_emscripten_receive_on_main_thread_js_callArgs.length=numCallArgs;var b=args>>3;for(var i=0;i>>16);updateGlobalBufferAndViews(wasmMemory.buffer);return 1}catch(e){}}function _emscripten_resize_heap(requestedSize){requestedSize=requestedSize>>>0;var oldSize=_emscripten_get_heap_size();if(requestedSize<=oldSize){return false}var PAGE_MULTIPLE=65536;var maxHeapSize=2147483648;if(requestedSize>maxHeapSize){return false}var minHeapSize=16777216;for(var cutDown=1;cutDown<=4;cutDown*=2){var overGrownHeapSize=oldSize*(1+.2/cutDown);overGrownHeapSize=Math.min(overGrownHeapSize,requestedSize+100663296);var newSize=Math.min(maxHeapSize,alignUp(Math.max(minHeapSize,requestedSize,overGrownHeapSize),PAGE_MULTIPLE));var replacement=emscripten_realloc_buffer(newSize);if(replacement){return true}}return false}var JSEvents={keyEvent:0,mouseEvent:0,wheelEvent:0,uiEvent:0,focusEvent:0,deviceOrientationEvent:0,deviceMotionEvent:0,fullscreenChangeEvent:0,pointerlockChangeEvent:0,visibilityChangeEvent:0,touchEvent:0,previousFullscreenElement:null,previousScreenX:null,previousScreenY:null,removeEventListenersRegistered:false,removeAllEventListeners:function(){for(var i=JSEvents.eventHandlers.length-1;i>=0;--i){JSEvents._removeHandler(i)}JSEvents.eventHandlers=[];JSEvents.deferredCalls=[]},registerRemoveEventListeners:function(){if(!JSEvents.removeEventListenersRegistered){__ATEXIT__.push(JSEvents.removeAllEventListeners);JSEvents.removeEventListenersRegistered=true}},deferredCalls:[],deferCall:function(targetFunction,precedence,argsList){function arraysHaveEqualContent(arrA,arrB){if(arrA.length!=arrB.length)return false;for(var i in arrA){if(arrA[i]!=arrB[i])return false}return true}for(var i in JSEvents.deferredCalls){var call=JSEvents.deferredCalls[i];if(call.targetFunction==targetFunction&&arraysHaveEqualContent(call.argsList,argsList)){return}}JSEvents.deferredCalls.push({targetFunction:targetFunction,precedence:precedence,argsList:argsList});JSEvents.deferredCalls.sort(function(x,y){return x.precedence>2]=eventTypeId;GROWABLE_HEAP_I32()[varargs+4>>2]=eventData;GROWABLE_HEAP_I32()[varargs+8>>2]=userData;_emscripten_async_queue_on_thread_(targetThread,637534208,eventHandlerFunc,eventData,varargs);stackRestore(stackTop)},getTargetThreadForEventCallback:function(targetThread){switch(targetThread){case 1:return 0;case 2:return PThread.currentProxiedOperationCallerThread;default:return targetThread}},getNodeNameForTarget:function(target){if(!target)return\"\";if(target==window)return\"#window\";if(target==screen)return\"#screen\";return target&&target.nodeName?target.nodeName:\"\"},fullscreenEnabled:function(){return document.fullscreenEnabled||document.webkitFullscreenEnabled}};function stringToNewUTF8(jsString){var length=lengthBytesUTF8(jsString)+1;var cString=_malloc(length);stringToUTF8(jsString,cString,length);return cString}function _emscripten_set_offscreencanvas_size_on_target_thread_js(targetThread,targetCanvas,width,height){var stackTop=stackSave();var varargs=stackAlloc(12);var targetCanvasPtr=0;if(targetCanvas){targetCanvasPtr=stringToNewUTF8(targetCanvas)}GROWABLE_HEAP_I32()[varargs>>2]=targetCanvasPtr;GROWABLE_HEAP_I32()[varargs+4>>2]=width;GROWABLE_HEAP_I32()[varargs+8>>2]=height;_emscripten_async_queue_on_thread_(targetThread,657457152,0,targetCanvasPtr,varargs);stackRestore(stackTop)}function _emscripten_set_offscreencanvas_size_on_target_thread(targetThread,targetCanvas,width,height){targetCanvas=targetCanvas?UTF8ToString(targetCanvas):\"\";_emscripten_set_offscreencanvas_size_on_target_thread_js(targetThread,targetCanvas,width,height)}function __maybeCStringToJsString(cString){return cString>2?UTF8ToString(cString):cString}var specialHTMLTargets=[0,typeof document!==\"undefined\"?document:0,typeof window!==\"undefined\"?window:0];function __findEventTarget(target){target=__maybeCStringToJsString(target);var domElement=specialHTMLTargets[target]||(typeof document!==\"undefined\"?document.querySelector(target):undefined);return domElement}function __findCanvasEventTarget(target){return __findEventTarget(target)}function _emscripten_set_canvas_element_size_calling_thread(target,width,height){var canvas=__findCanvasEventTarget(target);if(!canvas)return-4;if(canvas.canvasSharedPtr){GROWABLE_HEAP_I32()[canvas.canvasSharedPtr>>2]=width;GROWABLE_HEAP_I32()[canvas.canvasSharedPtr+4>>2]=height}if(canvas.offscreenCanvas||!canvas.controlTransferredOffscreen){if(canvas.offscreenCanvas)canvas=canvas.offscreenCanvas;var autoResizeViewport=false;if(canvas.GLctxObject&&canvas.GLctxObject.GLctx){var prevViewport=canvas.GLctxObject.GLctx.getParameter(2978);autoResizeViewport=prevViewport[0]===0&&prevViewport[1]===0&&prevViewport[2]===canvas.width&&prevViewport[3]===canvas.height}canvas.width=width;canvas.height=height;if(autoResizeViewport){canvas.GLctxObject.GLctx.viewport(0,0,width,height)}}else if(canvas.canvasSharedPtr){var targetThread=GROWABLE_HEAP_I32()[canvas.canvasSharedPtr+8>>2];_emscripten_set_offscreencanvas_size_on_target_thread(targetThread,target,width,height);return 1}else{return-4}return 0}function _emscripten_set_canvas_element_size_main_thread(target,width,height){if(ENVIRONMENT_IS_PTHREAD)return _emscripten_proxy_to_main_thread_js(2,1,target,width,height);return _emscripten_set_canvas_element_size_calling_thread(target,width,height)}function _emscripten_set_canvas_element_size(target,width,height){var canvas=__findCanvasEventTarget(target);if(canvas){return _emscripten_set_canvas_element_size_calling_thread(target,width,height)}else{return _emscripten_set_canvas_element_size_main_thread(target,width,height)}}function _emscripten_set_current_thread_status(newStatus){newStatus=newStatus|0}function _emscripten_set_thread_name(threadId,name){threadId=threadId|0;name=name|0}function __webgl_enable_ANGLE_instanced_arrays(ctx){var ext=ctx.getExtension(\"ANGLE_instanced_arrays\");if(ext){ctx[\"vertexAttribDivisor\"]=function(index,divisor){ext[\"vertexAttribDivisorANGLE\"](index,divisor)};ctx[\"drawArraysInstanced\"]=function(mode,first,count,primcount){ext[\"drawArraysInstancedANGLE\"](mode,first,count,primcount)};ctx[\"drawElementsInstanced\"]=function(mode,count,type,indices,primcount){ext[\"drawElementsInstancedANGLE\"](mode,count,type,indices,primcount)};return 1}}function __webgl_enable_OES_vertex_array_object(ctx){var ext=ctx.getExtension(\"OES_vertex_array_object\");if(ext){ctx[\"createVertexArray\"]=function(){return ext[\"createVertexArrayOES\"]()};ctx[\"deleteVertexArray\"]=function(vao){ext[\"deleteVertexArrayOES\"](vao)};ctx[\"bindVertexArray\"]=function(vao){ext[\"bindVertexArrayOES\"](vao)};ctx[\"isVertexArray\"]=function(vao){return ext[\"isVertexArrayOES\"](vao)};return 1}}function __webgl_enable_WEBGL_draw_buffers(ctx){var ext=ctx.getExtension(\"WEBGL_draw_buffers\");if(ext){ctx[\"drawBuffers\"]=function(n,bufs){ext[\"drawBuffersWEBGL\"](n,bufs)};return 1}}var GL={counter:1,lastError:0,buffers:[],mappedBuffers:{},programs:[],framebuffers:[],renderbuffers:[],textures:[],uniforms:[],shaders:[],vaos:[],contexts:{},currentContext:null,offscreenCanvases:{},timerQueriesEXT:[],programInfos:{},stringCache:{},unpackAlignment:4,init:function(){var miniTempFloatBuffer=new Float32Array(GL.MINI_TEMP_BUFFER_SIZE);for(var i=0;i>2]:-1;source+=UTF8ToString(GROWABLE_HEAP_I32()[string+i*4>>2],len<0?undefined:len)}return source},createContext:function(canvas,webGLContextAttributes){var ctx=canvas.getContext(\"webgl\",webGLContextAttributes);if(!ctx)return 0;var handle=GL.registerContext(ctx,webGLContextAttributes);return handle},registerContext:function(ctx,webGLContextAttributes){var handle=_malloc(8);GROWABLE_HEAP_I32()[handle+4>>2]=_pthread_self();var context={handle:handle,attributes:webGLContextAttributes,version:webGLContextAttributes.majorVersion,GLctx:ctx};if(ctx.canvas)ctx.canvas.GLctxObject=context;GL.contexts[handle]=context;if(typeof webGLContextAttributes.enableExtensionsByDefault===\"undefined\"||webGLContextAttributes.enableExtensionsByDefault){GL.initExtensions(context)}return handle},makeContextCurrent:function(contextHandle){GL.currentContext=GL.contexts[contextHandle];Module.ctx=GLctx=GL.currentContext&&GL.currentContext.GLctx;return!(contextHandle&&!GLctx)},getContext:function(contextHandle){return GL.contexts[contextHandle]},deleteContext:function(contextHandle){if(GL.currentContext===GL.contexts[contextHandle])GL.currentContext=null;if(typeof JSEvents===\"object\")JSEvents.removeAllHandlersOnTarget(GL.contexts[contextHandle].GLctx.canvas);if(GL.contexts[contextHandle]&&GL.contexts[contextHandle].GLctx.canvas)GL.contexts[contextHandle].GLctx.canvas.GLctxObject=undefined;_free(GL.contexts[contextHandle].handle);GL.contexts[contextHandle]=null},initExtensions:function(context){if(!context)context=GL.currentContext;if(context.initExtensionsDone)return;context.initExtensionsDone=true;var GLctx=context.GLctx;__webgl_enable_ANGLE_instanced_arrays(GLctx);__webgl_enable_OES_vertex_array_object(GLctx);__webgl_enable_WEBGL_draw_buffers(GLctx);GLctx.disjointTimerQueryExt=GLctx.getExtension(\"EXT_disjoint_timer_query\");var automaticallyEnabledExtensions=[\"OES_texture_float\",\"OES_texture_half_float\",\"OES_standard_derivatives\",\"OES_vertex_array_object\",\"WEBGL_compressed_texture_s3tc\",\"WEBGL_depth_texture\",\"OES_element_index_uint\",\"EXT_texture_filter_anisotropic\",\"EXT_frag_depth\",\"WEBGL_draw_buffers\",\"ANGLE_instanced_arrays\",\"OES_texture_float_linear\",\"OES_texture_half_float_linear\",\"EXT_blend_minmax\",\"EXT_shader_texture_lod\",\"EXT_texture_norm16\",\"WEBGL_compressed_texture_pvrtc\",\"EXT_color_buffer_half_float\",\"WEBGL_color_buffer_float\",\"EXT_sRGB\",\"WEBGL_compressed_texture_etc1\",\"EXT_disjoint_timer_query\",\"WEBGL_compressed_texture_etc\",\"WEBGL_compressed_texture_astc\",\"EXT_color_buffer_float\",\"WEBGL_compressed_texture_s3tc_srgb\",\"EXT_disjoint_timer_query_webgl2\",\"WEBKIT_WEBGL_compressed_texture_pvrtc\"];var exts=GLctx.getSupportedExtensions()||[];exts.forEach(function(ext){if(automaticallyEnabledExtensions.indexOf(ext)!=-1){GLctx.getExtension(ext)}})},populateUniformTable:function(program){var p=GL.programs[program];var ptable=GL.programInfos[program]={uniforms:{},maxUniformLength:0,maxAttributeLength:-1,maxUniformBlockNameLength:-1};var utable=ptable.uniforms;var numUniforms=GLctx.getProgramParameter(p,35718);for(var i=0;i>2;contextAttributes[\"alpha\"]=!!GROWABLE_HEAP_I32()[a+(0>>2)];contextAttributes[\"depth\"]=!!GROWABLE_HEAP_I32()[a+(4>>2)];contextAttributes[\"stencil\"]=!!GROWABLE_HEAP_I32()[a+(8>>2)];contextAttributes[\"antialias\"]=!!GROWABLE_HEAP_I32()[a+(12>>2)];contextAttributes[\"premultipliedAlpha\"]=!!GROWABLE_HEAP_I32()[a+(16>>2)];contextAttributes[\"preserveDrawingBuffer\"]=!!GROWABLE_HEAP_I32()[a+(20>>2)];var powerPreference=GROWABLE_HEAP_I32()[a+(24>>2)];contextAttributes[\"powerPreference\"]=__emscripten_webgl_power_preferences[powerPreference];contextAttributes[\"failIfMajorPerformanceCaveat\"]=!!GROWABLE_HEAP_I32()[a+(28>>2)];contextAttributes.majorVersion=GROWABLE_HEAP_I32()[a+(32>>2)];contextAttributes.minorVersion=GROWABLE_HEAP_I32()[a+(36>>2)];contextAttributes.enableExtensionsByDefault=GROWABLE_HEAP_I32()[a+(40>>2)];contextAttributes.explicitSwapControl=GROWABLE_HEAP_I32()[a+(44>>2)];contextAttributes.proxyContextToMainThread=GROWABLE_HEAP_I32()[a+(48>>2)];contextAttributes.renderViaOffscreenBackBuffer=GROWABLE_HEAP_I32()[a+(52>>2)];var canvas=__findCanvasEventTarget(target);if(!canvas){return-4}if(contextAttributes.explicitSwapControl){return-1}var contextHandle=GL.createContext(canvas,contextAttributes);return contextHandle}function _emscripten_webgl_create_context(a0,a1){return _emscripten_webgl_do_create_context(a0,a1)}var PATH={splitPath:function(filename){var splitPathRe=/^(\\/?|)([\\s\\S]*?)((?:\\.{1,2}|[^\\/]+?|)(\\.[^.\\/]*|))(?:[\\/]*)$/;return splitPathRe.exec(filename).slice(1)},normalizeArray:function(parts,allowAboveRoot){var up=0;for(var i=parts.length-1;i>=0;i--){var last=parts[i];if(last===\".\"){parts.splice(i,1)}else if(last===\"..\"){parts.splice(i,1);up++}else if(up){parts.splice(i,1);up--}}if(allowAboveRoot){for(;up;up--){parts.unshift(\"..\")}}return parts},normalize:function(path){var isAbsolute=path.charAt(0)===\"/\",trailingSlash=path.substr(-1)===\"/\";path=PATH.normalizeArray(path.split(\"/\").filter(function(p){return!!p}),!isAbsolute).join(\"/\");if(!path&&!isAbsolute){path=\".\"}if(path&&trailingSlash){path+=\"/\"}return(isAbsolute?\"/\":\"\")+path},dirname:function(path){var result=PATH.splitPath(path),root=result[0],dir=result[1];if(!root&&!dir){return\".\"}if(dir){dir=dir.substr(0,dir.length-1)}return root+dir},basename:function(path){if(path===\"/\")return\"/\";var lastSlash=path.lastIndexOf(\"/\");if(lastSlash===-1)return path;return path.substr(lastSlash+1)},extname:function(path){return PATH.splitPath(path)[3]},join:function(){var paths=Array.prototype.slice.call(arguments,0);return PATH.normalize(paths.join(\"/\"))},join2:function(l,r){return PATH.normalize(l+\"/\"+r)}};var SYSCALLS={mappings:{},buffers:[null,[],[]],printChar:function(stream,curr){var buffer=SYSCALLS.buffers[stream];if(curr===0||curr===10){(stream===1?out:err)(UTF8ArrayToString(buffer,0));buffer.length=0}else{buffer.push(curr)}},varargs:undefined,get:function(){SYSCALLS.varargs+=4;var ret=GROWABLE_HEAP_I32()[SYSCALLS.varargs-4>>2];return ret},getStr:function(ptr){var ret=UTF8ToString(ptr);return ret},get64:function(low,high){return low}};function _fd_close(fd){if(ENVIRONMENT_IS_PTHREAD)return _emscripten_proxy_to_main_thread_js(3,1,fd);return 0}function _fd_seek(fd,offset_low,offset_high,whence,newOffset){if(ENVIRONMENT_IS_PTHREAD)return _emscripten_proxy_to_main_thread_js(4,1,fd,offset_low,offset_high,whence,newOffset)}function _fd_write(fd,iov,iovcnt,pnum){if(ENVIRONMENT_IS_PTHREAD)return _emscripten_proxy_to_main_thread_js(5,1,fd,iov,iovcnt,pnum);var num=0;for(var i=0;i>2];var len=GROWABLE_HEAP_I32()[iov+(i*8+4)>>2];for(var j=0;j>2]=num;return 0}function _pthread_cleanup_pop(execute){var routine=PThread.exitHandlers.pop();if(execute)routine()}function _pthread_cleanup_push(routine,arg){if(PThread.exitHandlers===null){PThread.exitHandlers=[]}PThread.exitHandlers.push(function(){dynCall_vi(routine,arg)})}function __spawn_thread(threadParams){if(ENVIRONMENT_IS_PTHREAD)throw\"Internal Error! _spawn_thread() can only ever be called from main application thread!\";var worker=PThread.getNewWorker();if(worker.pthread!==undefined)throw\"Internal error!\";if(!threadParams.pthread_ptr)throw\"Internal error, no pthread ptr!\";PThread.runningWorkers.push(worker);var tlsMemory=_malloc(128*4);for(var i=0;i<128;++i){GROWABLE_HEAP_I32()[tlsMemory+i*4>>2]=0}var stackHigh=threadParams.stackBase+threadParams.stackSize;var pthread=PThread.pthreads[threadParams.pthread_ptr]={worker:worker,stackBase:threadParams.stackBase,stackSize:threadParams.stackSize,allocatedOwnStack:threadParams.allocatedOwnStack,thread:threadParams.pthread_ptr,threadInfoStruct:threadParams.pthread_ptr};var tis=pthread.threadInfoStruct>>2;Atomics.store(GROWABLE_HEAP_U32(),tis+(0>>2),0);Atomics.store(GROWABLE_HEAP_U32(),tis+(4>>2),0);Atomics.store(GROWABLE_HEAP_U32(),tis+(8>>2),0);Atomics.store(GROWABLE_HEAP_U32(),tis+(68>>2),threadParams.detached);Atomics.store(GROWABLE_HEAP_U32(),tis+(104>>2),tlsMemory);Atomics.store(GROWABLE_HEAP_U32(),tis+(48>>2),0);Atomics.store(GROWABLE_HEAP_U32(),tis+(40>>2),pthread.threadInfoStruct);Atomics.store(GROWABLE_HEAP_U32(),tis+(44>>2),42);Atomics.store(GROWABLE_HEAP_U32(),tis+(108>>2),threadParams.stackSize);Atomics.store(GROWABLE_HEAP_U32(),tis+(84>>2),threadParams.stackSize);Atomics.store(GROWABLE_HEAP_U32(),tis+(80>>2),stackHigh);Atomics.store(GROWABLE_HEAP_U32(),tis+(108+8>>2),stackHigh);Atomics.store(GROWABLE_HEAP_U32(),tis+(108+12>>2),threadParams.detached);Atomics.store(GROWABLE_HEAP_U32(),tis+(108+20>>2),threadParams.schedPolicy);Atomics.store(GROWABLE_HEAP_U32(),tis+(108+24>>2),threadParams.schedPrio);var global_libc=_emscripten_get_global_libc();var global_locale=global_libc+40;Atomics.store(GROWABLE_HEAP_U32(),tis+(176>>2),global_locale);worker.pthread=pthread;var msg={\"cmd\":\"run\",\"start_routine\":threadParams.startRoutine,\"arg\":threadParams.arg,\"threadInfoStruct\":threadParams.pthread_ptr,\"selfThreadId\":threadParams.pthread_ptr,\"parentThreadId\":threadParams.parent_pthread_ptr,\"stackBase\":threadParams.stackBase,\"stackSize\":threadParams.stackSize};worker.runPthread=function(){msg.time=performance.now();worker.postMessage(msg,threadParams.transferList)};if(worker.loaded){worker.runPthread();delete worker.runPthread}}function _pthread_getschedparam(thread,policy,schedparam){if(!policy&&!schedparam)return ERRNO_CODES.EINVAL;if(!thread){err(\"pthread_getschedparam called with a null thread pointer!\");return ERRNO_CODES.ESRCH}var self=GROWABLE_HEAP_I32()[thread+12>>2];if(self!==thread){err(\"pthread_getschedparam attempted on thread \"+thread+\", which does not point to a 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schedPrio=0;if(attr){stackSize=GROWABLE_HEAP_I32()[attr>>2];stackSize+=81920;stackBase=GROWABLE_HEAP_I32()[attr+8>>2];detached=GROWABLE_HEAP_I32()[attr+12>>2]!==0;var inheritSched=GROWABLE_HEAP_I32()[attr+16>>2]===0;if(inheritSched){var prevSchedPolicy=GROWABLE_HEAP_I32()[attr+20>>2];var prevSchedPrio=GROWABLE_HEAP_I32()[attr+24>>2];var parentThreadPtr=PThread.currentProxiedOperationCallerThread?PThread.currentProxiedOperationCallerThread:_pthread_self();_pthread_getschedparam(parentThreadPtr,attr+20,attr+24);schedPolicy=GROWABLE_HEAP_I32()[attr+20>>2];schedPrio=GROWABLE_HEAP_I32()[attr+24>>2];GROWABLE_HEAP_I32()[attr+20>>2]=prevSchedPolicy;GROWABLE_HEAP_I32()[attr+24>>2]=prevSchedPrio}else{schedPolicy=GROWABLE_HEAP_I32()[attr+20>>2];schedPrio=GROWABLE_HEAP_I32()[attr+24>>2]}}else{stackSize=2097152}var allocatedOwnStack=stackBase==0;if(allocatedOwnStack){stackBase=_memalign(16,stackSize)}else{stackBase-=stackSize;assert(stackBase>0)}var threadInfoStruct=_malloc(232);for(var i=0;i<232>>2;++i)GROWABLE_HEAP_U32()[(threadInfoStruct>>2)+i]=0;GROWABLE_HEAP_I32()[pthread_ptr>>2]=threadInfoStruct;GROWABLE_HEAP_I32()[threadInfoStruct+12>>2]=threadInfoStruct;var headPtr=threadInfoStruct+156;GROWABLE_HEAP_I32()[headPtr>>2]=headPtr;var threadParams={stackBase:stackBase,stackSize:stackSize,allocatedOwnStack:allocatedOwnStack,schedPolicy:schedPolicy,schedPrio:schedPrio,detached:detached,startRoutine:start_routine,pthread_ptr:threadInfoStruct,parent_pthread_ptr:_pthread_self(),arg:arg,transferList:transferList};if(ENVIRONMENT_IS_PTHREAD){threadParams.cmd=\"spawnThread\";postMessage(threadParams,transferList)}else{__spawn_thread(threadParams)}return 0}function _roundf(d){d=+d;return d>=+0?+Math_floor(d+ +.5):+Math_ceil(d-+.5)}function _sysconf(name){if(ENVIRONMENT_IS_PTHREAD)return _emscripten_proxy_to_main_thread_js(6,1,name);switch(name){case 30:return 16384;case 85:var maxHeapSize=2147483648;return maxHeapSize/16384;case 132:case 133:case 12:case 137:case 138:case 15:case 235:case 16:case 17:case 18:case 19:case 20:case 149:case 13:case 10:case 236:case 153:case 9:case 21:case 22:case 159:case 154:case 14:case 77:case 78:case 139:case 80:case 81:case 82:case 68:case 67:case 164:case 11:case 29:case 47:case 48:case 95:case 52:case 51:case 46:case 79:return 200809;case 27:case 246:case 127:case 128:case 23:case 24:case 160:case 161:case 181:case 182:case 242:case 183:case 184:case 243:case 244:case 245:case 165:case 178:case 179:case 49:case 50:case 168:case 169:case 175:case 170:case 171:case 172:case 97:case 76:case 32:case 173:case 35:return-1;case 176:case 177:case 7:case 155:case 8:case 157:case 125:case 126:case 92:case 93:case 129:case 130:case 131:case 94:case 91:return 1;case 74:case 60:case 69:case 70:case 4:return 1024;case 31:case 42:case 72:return 32;case 87:case 26:case 33:return 2147483647;case 34:case 1:return 47839;case 38:case 36:return 99;case 43:case 37:return 2048;case 0:return 2097152;case 3:return 65536;case 28:return 32768;case 44:return 32767;case 75:return 16384;case 39:return 1e3;case 89:return 700;case 71:return 256;case 40:return 255;case 2:return 100;case 180:return 64;case 25:return 20;case 5:return 16;case 6:return 6;case 73:return 4;case 84:{if(typeof navigator===\"object\")return navigator[\"hardwareConcurrency\"]||1;return 1}}setErrNo(28);return-1}if(!ENVIRONMENT_IS_PTHREAD)PThread.initMainThreadBlock();else PThread.initWorker();var GLctx;GL.init();var proxiedFunctionTable=[null,_atexit,_emscripten_set_canvas_element_size_main_thread,_fd_close,_fd_seek,_fd_write,_sysconf];var asmLibraryArg={\"e\":___assert_fail,\"r\":___call_main,\"w\":__emscripten_notify_thread_queue,\"a\":_abort,\"l\":_emscripten_conditional_set_current_thread_status,\"d\":_emscripten_futex_wait,\"c\":_emscripten_futex_wake,\"h\":_emscripten_get_now,\"g\":_emscripten_is_main_browser_thread,\"x\":_emscripten_is_main_runtime_thread,\"q\":_emscripten_memcpy_big,\"B\":_emscripten_num_logical_cores,\"t\":_emscripten_receive_on_main_thread_js,\"A\":_emscripten_resize_heap,\"u\":_emscripten_set_canvas_element_size,\"k\":_emscripten_set_current_thread_status,\"s\":_emscripten_set_thread_name,\"v\":_emscripten_webgl_create_context,\"m\":_fd_close,\"o\":_fd_seek,\"i\":_fd_write,\"p\":initPthreadsJS,\"memory\":wasmMemory||Module[\"wasmMemory\"],\"y\":_pthread_cleanup_pop,\"z\":_pthread_cleanup_push,\"j\":_pthread_create,\"b\":_pthread_self,\"f\":_roundf,\"n\":_sysconf,\"table\":wasmTable};var asm=createWasm();Module[\"asm\"]=asm;var ___wasm_call_ctors=Module[\"___wasm_call_ctors\"]=function(){return(___wasm_call_ctors=Module[\"___wasm_call_ctors\"]=Module[\"asm\"][\"C\"]).apply(null,arguments)};var _init=Module[\"_init\"]=function(){return(_init=Module[\"_init\"]=Module[\"asm\"][\"D\"]).apply(null,arguments)};var _register_tensor=Module[\"_register_tensor\"]=function(){return(_register_tensor=Module[\"_register_tensor\"]=Module[\"asm\"][\"E\"]).apply(null,arguments)};var _dispose_data=Module[\"_dispose_data\"]=function(){return(_dispose_data=Module[\"_dispose_data\"]=Module[\"asm\"][\"F\"]).apply(null,arguments)};var _dispose=Module[\"_dispose\"]=function(){return(_dispose=Module[\"_dispose\"]=Module[\"asm\"][\"G\"]).apply(null,arguments)};var _Abs=Module[\"_Abs\"]=function(){return(_Abs=Module[\"_Abs\"]=Module[\"asm\"][\"H\"]).apply(null,arguments)};var _Add=Module[\"_Add\"]=function(){return(_Add=Module[\"_Add\"]=Module[\"asm\"][\"I\"]).apply(null,arguments)};var 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_Equal=Module[\"_Equal\"]=function(){return(_Equal=Module[\"_Equal\"]=Module[\"asm\"][\"W\"]).apply(null,arguments)};var _Exp=Module[\"_Exp\"]=function(){return(_Exp=Module[\"_Exp\"]=Module[\"asm\"][\"X\"]).apply(null,arguments)};var _FlipLeftRight=Module[\"_FlipLeftRight\"]=function(){return(_FlipLeftRight=Module[\"_FlipLeftRight\"]=Module[\"asm\"][\"Y\"]).apply(null,arguments)};var _Floor=Module[\"_Floor\"]=function(){return(_Floor=Module[\"_Floor\"]=Module[\"asm\"][\"Z\"]).apply(null,arguments)};var _FloorDiv=Module[\"_FloorDiv\"]=function(){return(_FloorDiv=Module[\"_FloorDiv\"]=Module[\"asm\"][\"_\"]).apply(null,arguments)};var _FusedBatchNorm=Module[\"_FusedBatchNorm\"]=function(){return(_FusedBatchNorm=Module[\"_FusedBatchNorm\"]=Module[\"asm\"][\"$\"]).apply(null,arguments)};var _FusedConv2D=Module[\"_FusedConv2D\"]=function(){return(_FusedConv2D=Module[\"_FusedConv2D\"]=Module[\"asm\"][\"aa\"]).apply(null,arguments)};var _FusedDepthwiseConv2D=Module[\"_FusedDepthwiseConv2D\"]=function(){return(_FusedDepthwiseConv2D=Module[\"_FusedDepthwiseConv2D\"]=Module[\"asm\"][\"ba\"]).apply(null,arguments)};var _Gather=Module[\"_Gather\"]=function(){return(_Gather=Module[\"_Gather\"]=Module[\"asm\"][\"ca\"]).apply(null,arguments)};var _GatherNd=Module[\"_GatherNd\"]=function(){return(_GatherNd=Module[\"_GatherNd\"]=Module[\"asm\"][\"da\"]).apply(null,arguments)};var _Greater=Module[\"_Greater\"]=function(){return(_Greater=Module[\"_Greater\"]=Module[\"asm\"][\"ea\"]).apply(null,arguments)};var _GreaterEqual=Module[\"_GreaterEqual\"]=function(){return(_GreaterEqual=Module[\"_GreaterEqual\"]=Module[\"asm\"][\"fa\"]).apply(null,arguments)};var _LeakyRelu=Module[\"_LeakyRelu\"]=function(){return(_LeakyRelu=Module[\"_LeakyRelu\"]=Module[\"asm\"][\"ga\"]).apply(null,arguments)};var _Less=Module[\"_Less\"]=function(){return(_Less=Module[\"_Less\"]=Module[\"asm\"][\"ha\"]).apply(null,arguments)};var 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WasmBackendModuleThreadedSimd; });\n else if (typeof exports === 'object')\n exports[\"WasmBackendModuleThreadedSimd\"] = WasmBackendModuleThreadedSimd;\n ", "\nvar WasmBackendModule = (function() {\n var _scriptDir = typeof document !== 'undefined' && document.currentScript ? document.currentScript.src : undefined;\n if (typeof __filename !== 'undefined') _scriptDir = _scriptDir || __filename;\n return (\nfunction(WasmBackendModule) {\n WasmBackendModule = WasmBackendModule || {};\n\nvar Module=typeof WasmBackendModule!==\"undefined\"?WasmBackendModule:{};var moduleOverrides={};var key;for(key in Module){if(Module.hasOwnProperty(key)){moduleOverrides[key]=Module[key]}}var arguments_=[];var thisProgram=\"./this.program\";var quit_=function(status,toThrow){throw toThrow};var ENVIRONMENT_IS_WEB=false;var ENVIRONMENT_IS_WORKER=false;var ENVIRONMENT_IS_NODE=false;var ENVIRONMENT_IS_SHELL=false;ENVIRONMENT_IS_WEB=typeof window===\"object\";ENVIRONMENT_IS_WORKER=typeof 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assert(condition,text){if(!condition){abort(\"Assertion failed: \"+text)}}function getCFunc(ident){var func=Module[\"_\"+ident];assert(func,\"Cannot call unknown function \"+ident+\", make sure it is exported\");return func}function ccall(ident,returnType,argTypes,args,opts){var toC={\"string\":function(str){var ret=0;if(str!==null&&str!==undefined&&str!==0){var len=(str.length<<2)+1;ret=stackAlloc(len);stringToUTF8(str,ret,len)}return ret},\"array\":function(arr){var ret=stackAlloc(arr.length);writeArrayToMemory(arr,ret);return ret}};function convertReturnValue(ret){if(returnType===\"string\")return UTF8ToString(ret);if(returnType===\"boolean\")return Boolean(ret);return ret}var func=getCFunc(ident);var cArgs=[];var stack=0;if(args){for(var i=0;i=endIdx))++endPtr;if(endPtr-idx>16&&heap.subarray&&UTF8Decoder){return UTF8Decoder.decode(heap.subarray(idx,endPtr))}else{var str=\"\";while(idx>10,56320|ch&1023)}}}return str}function UTF8ToString(ptr,maxBytesToRead){return 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instantiateAsync(){if(!wasmBinary&&typeof WebAssembly.instantiateStreaming===\"function\"&&!isDataURI(wasmBinaryFile)&&!isFileURI(wasmBinaryFile)&&typeof fetch===\"function\"){fetch(wasmBinaryFile,{credentials:\"same-origin\"}).then(function(response){var result=WebAssembly.instantiateStreaming(response,info);return result.then(receiveInstantiatedSource,function(reason){err(\"wasm streaming compile failed: \"+reason);err(\"falling back to ArrayBuffer instantiation\");instantiateArrayBuffer(receiveInstantiatedSource)})})}else{return instantiateArrayBuffer(receiveInstantiatedSource)}}if(Module[\"instantiateWasm\"]){try{var exports=Module[\"instantiateWasm\"](info,receiveInstance);return exports}catch(e){err(\"Module.instantiateWasm callback failed with error: \"+e);return false}}instantiateAsync();return{}}__ATINIT__.push();function _emscripten_notify_memory_growth(memoryIndex){updateGlobalBufferAndViews(wasmMemory.buffer)}var PATH={splitPath:function(filename){var splitPathRe=/^(\\/?|)([\\s\\S]*?)((?:\\.{1,2}|[^\\/]+?|)(\\.[^.\\/]*|))(?:[\\/]*)$/;return splitPathRe.exec(filename).slice(1)},normalizeArray:function(parts,allowAboveRoot){var up=0;for(var i=parts.length-1;i>=0;i--){var last=parts[i];if(last===\".\"){parts.splice(i,1)}else if(last===\"..\"){parts.splice(i,1);up++}else if(up){parts.splice(i,1);up--}}if(allowAboveRoot){for(;up;up--){parts.unshift(\"..\")}}return parts},normalize:function(path){var isAbsolute=path.charAt(0)===\"/\",trailingSlash=path.substr(-1)===\"/\";path=PATH.normalizeArray(path.split(\"/\").filter(function(p){return!!p}),!isAbsolute).join(\"/\");if(!path&&!isAbsolute){path=\".\"}if(path&&trailingSlash){path+=\"/\"}return(isAbsolute?\"/\":\"\")+path},dirname:function(path){var result=PATH.splitPath(path),root=result[0],dir=result[1];if(!root&&!dir){return\".\"}if(dir){dir=dir.substr(0,dir.length-1)}return root+dir},basename:function(path){if(path===\"/\")return\"/\";var 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shouldRunNow=true;if(Module[\"noInitialRun\"])shouldRunNow=false;noExitRuntime=true;run();\n\n\n return WasmBackendModule\n}\n);\n})();\nif (typeof exports === 'object' && typeof module === 'object')\n module.exports = WasmBackendModule;\n else if (typeof define === 'function' && define['amd'])\n define([], function() { return WasmBackendModule; });\n else if (typeof exports === 'object')\n exports[\"WasmBackendModule\"] = WasmBackendModule;\n ", "// A port of an algorithm by Johannes Baag\u00F8e , 2010\n// http://baagoe.com/en/RandomMusings/javascript/\n// https://github.com/nquinlan/better-random-numbers-for-javascript-mirror\n// Original work is under MIT license -\n\n// Copyright (C) 2010 by Johannes Baag\u00F8e \n//\n// Permission is hereby granted, free of charge, to any person obtaining a copy\n// of this software and associated documentation files (the \"Software\"), to deal\n// in the Software without restriction, including without limitation the rights\n// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell\n// copies of the Software, and to permit persons to whom the Software is\n// furnished to do so, subject to the following conditions:\n//\n// The above copyright notice and this permission notice shall be included in\n// all copies or substantial portions of the Software.\n//\n// THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\n// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\n// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN\n// THE SOFTWARE.\n\n\n\n(function(global, module, define) {\n\nfunction Alea(seed) {\n var me = this, mash = Mash();\n\n me.next = function() {\n var t = 2091639 * me.s0 + me.c * 2.3283064365386963e-10; // 2^-32\n me.s0 = me.s1;\n me.s1 = me.s2;\n return me.s2 = t - (me.c = t | 0);\n };\n\n // Apply the seeding algorithm from Baagoe.\n me.c = 1;\n me.s0 = mash(' ');\n me.s1 = mash(' ');\n me.s2 = mash(' ');\n me.s0 -= mash(seed);\n if (me.s0 < 0) { me.s0 += 1; }\n me.s1 -= mash(seed);\n if (me.s1 < 0) { me.s1 += 1; }\n me.s2 -= mash(seed);\n if (me.s2 < 0) { me.s2 += 1; }\n mash = null;\n}\n\nfunction copy(f, t) {\n t.c = f.c;\n t.s0 = f.s0;\n t.s1 = f.s1;\n t.s2 = f.s2;\n return t;\n}\n\nfunction impl(seed, opts) {\n var xg = new Alea(seed),\n state = opts && opts.state,\n prng = xg.next;\n prng.int32 = function() { return (xg.next() * 0x100000000) | 0; }\n prng.double = function() {\n return prng() + (prng() * 0x200000 | 0) * 1.1102230246251565e-16; // 2^-53\n };\n prng.quick = prng;\n if (state) {\n if (typeof(state) == 'object') copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nfunction Mash() {\n var n = 0xefc8249d;\n\n var mash = function(data) {\n data = String(data);\n for (var i = 0; i < data.length; i++) {\n n += data.charCodeAt(i);\n var h = 0.02519603282416938 * n;\n n = h >>> 0;\n h -= n;\n h *= n;\n n = h >>> 0;\n h -= n;\n n += h * 0x100000000; // 2^32\n }\n return (n >>> 0) * 2.3283064365386963e-10; // 2^-32\n };\n\n return mash;\n}\n\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.alea = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n\n", "// A Javascript implementaion of the \"xor128\" prng algorithm by\n// George Marsaglia. See http://www.jstatsoft.org/v08/i14/paper\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this, strseed = '';\n\n me.x = 0;\n me.y = 0;\n me.z = 0;\n me.w = 0;\n\n // Set up generator function.\n me.next = function() {\n var t = me.x ^ (me.x << 11);\n me.x = me.y;\n me.y = me.z;\n me.z = me.w;\n return me.w ^= (me.w >>> 19) ^ t ^ (t >>> 8);\n };\n\n if (seed === (seed | 0)) {\n // Integer seed.\n me.x = seed;\n } else {\n // String seed.\n strseed += seed;\n }\n\n // Mix in string seed, then discard an initial batch of 64 values.\n for (var k = 0; k < strseed.length + 64; k++) {\n me.x ^= strseed.charCodeAt(k) | 0;\n me.next();\n }\n}\n\nfunction copy(f, t) {\n t.x = f.x;\n t.y = f.y;\n t.z = f.z;\n t.w = f.w;\n return t;\n}\n\nfunction impl(seed, opts) {\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (typeof(state) == 'object') copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.xor128 = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n\n", "// A Javascript implementaion of the \"xorwow\" prng algorithm by\n// George Marsaglia. See http://www.jstatsoft.org/v08/i14/paper\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this, strseed = '';\n\n // Set up generator function.\n me.next = function() {\n var t = (me.x ^ (me.x >>> 2));\n me.x = me.y; me.y = me.z; me.z = me.w; me.w = me.v;\n return (me.d = (me.d + 362437 | 0)) +\n (me.v = (me.v ^ (me.v << 4)) ^ (t ^ (t << 1))) | 0;\n };\n\n me.x = 0;\n me.y = 0;\n me.z = 0;\n me.w = 0;\n me.v = 0;\n\n if (seed === (seed | 0)) {\n // Integer seed.\n me.x = seed;\n } else {\n // String seed.\n strseed += seed;\n }\n\n // Mix in string seed, then discard an initial batch of 64 values.\n for (var k = 0; k < strseed.length + 64; k++) {\n me.x ^= strseed.charCodeAt(k) | 0;\n if (k == strseed.length) {\n me.d = me.x << 10 ^ me.x >>> 4;\n }\n me.next();\n }\n}\n\nfunction copy(f, t) {\n t.x = f.x;\n t.y = f.y;\n t.z = f.z;\n t.w = f.w;\n t.v = f.v;\n t.d = f.d;\n return t;\n}\n\nfunction impl(seed, opts) {\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (typeof(state) == 'object') copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.xorwow = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n\n", "// A Javascript implementaion of the \"xorshift7\" algorithm by\n// Fran\u00E7ois Panneton and Pierre L'ecuyer:\n// \"On the Xorgshift Random Number Generators\"\n// http://saluc.engr.uconn.edu/refs/crypto/rng/panneton05onthexorshift.pdf\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this;\n\n // Set up generator function.\n me.next = function() {\n // Update xor generator.\n var X = me.x, i = me.i, t, v, w;\n t = X[i]; t ^= (t >>> 7); v = t ^ (t << 24);\n t = X[(i + 1) & 7]; v ^= t ^ (t >>> 10);\n t = X[(i + 3) & 7]; v ^= t ^ (t >>> 3);\n t = X[(i + 4) & 7]; v ^= t ^ (t << 7);\n t = X[(i + 7) & 7]; t = t ^ (t << 13); v ^= t ^ (t << 9);\n X[i] = v;\n me.i = (i + 1) & 7;\n return v;\n };\n\n function init(me, seed) {\n var j, w, X = [];\n\n if (seed === (seed | 0)) {\n // Seed state array using a 32-bit integer.\n w = X[0] = seed;\n } else {\n // Seed state using a string.\n seed = '' + seed;\n for (j = 0; j < seed.length; ++j) {\n X[j & 7] = (X[j & 7] << 15) ^\n (seed.charCodeAt(j) + X[(j + 1) & 7] << 13);\n }\n }\n // Enforce an array length of 8, not all zeroes.\n while (X.length < 8) X.push(0);\n for (j = 0; j < 8 && X[j] === 0; ++j);\n if (j == 8) w = X[7] = -1; else w = X[j];\n\n me.x = X;\n me.i = 0;\n\n // Discard an initial 256 values.\n for (j = 256; j > 0; --j) {\n me.next();\n }\n }\n\n init(me, seed);\n}\n\nfunction copy(f, t) {\n t.x = f.x.slice();\n t.i = f.i;\n return t;\n}\n\nfunction impl(seed, opts) {\n if (seed == null) seed = +(new Date);\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (state.x) copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.xorshift7 = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n", "// A Javascript implementaion of Richard Brent's Xorgens xor4096 algorithm.\n//\n// This fast non-cryptographic random number generator is designed for\n// use in Monte-Carlo algorithms. It combines a long-period xorshift\n// generator with a Weyl generator, and it passes all common batteries\n// of stasticial tests for randomness while consuming only a few nanoseconds\n// for each prng generated. For background on the generator, see Brent's\n// paper: \"Some long-period random number generators using shifts and xors.\"\n// http://arxiv.org/pdf/1004.3115v1.pdf\n//\n// Usage:\n//\n// var xor4096 = require('xor4096');\n// random = xor4096(1); // Seed with int32 or string.\n// assert.equal(random(), 0.1520436450538547); // (0, 1) range, 53 bits.\n// assert.equal(random.int32(), 1806534897); // signed int32, 32 bits.\n//\n// For nonzero numeric keys, this impelementation provides a sequence\n// identical to that by Brent's xorgens 3 implementaion in C. This\n// implementation also provides for initalizing the generator with\n// string seeds, or for saving and restoring the state of the generator.\n//\n// On Chrome, this prng benchmarks about 2.1 times slower than\n// Javascript's built-in Math.random().\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this;\n\n // Set up generator function.\n me.next = function() {\n var w = me.w,\n X = me.X, i = me.i, t, v;\n // Update Weyl generator.\n me.w = w = (w + 0x61c88647) | 0;\n // Update xor generator.\n v = X[(i + 34) & 127];\n t = X[i = ((i + 1) & 127)];\n v ^= v << 13;\n t ^= t << 17;\n v ^= v >>> 15;\n t ^= t >>> 12;\n // Update Xor generator array state.\n v = X[i] = v ^ t;\n me.i = i;\n // Result is the combination.\n return (v + (w ^ (w >>> 16))) | 0;\n };\n\n function init(me, seed) {\n var t, v, i, j, w, X = [], limit = 128;\n if (seed === (seed | 0)) {\n // Numeric seeds initialize v, which is used to generates X.\n v = seed;\n seed = null;\n } else {\n // String seeds are mixed into v and X one character at a time.\n seed = seed + '\\0';\n v = 0;\n limit = Math.max(limit, seed.length);\n }\n // Initialize circular array and weyl value.\n for (i = 0, j = -32; j < limit; ++j) {\n // Put the unicode characters into the array, and shuffle them.\n if (seed) v ^= seed.charCodeAt((j + 32) % seed.length);\n // After 32 shuffles, take v as the starting w value.\n if (j === 0) w = v;\n v ^= v << 10;\n v ^= v >>> 15;\n v ^= v << 4;\n v ^= v >>> 13;\n if (j >= 0) {\n w = (w + 0x61c88647) | 0; // Weyl.\n t = (X[j & 127] ^= (v + w)); // Combine xor and weyl to init array.\n i = (0 == t) ? i + 1 : 0; // Count zeroes.\n }\n }\n // We have detected all zeroes; make the key nonzero.\n if (i >= 128) {\n X[(seed && seed.length || 0) & 127] = -1;\n }\n // Run the generator 512 times to further mix the state before using it.\n // Factoring this as a function slows the main generator, so it is just\n // unrolled here. The weyl generator is not advanced while warming up.\n i = 127;\n for (j = 4 * 128; j > 0; --j) {\n v = X[(i + 34) & 127];\n t = X[i = ((i + 1) & 127)];\n v ^= v << 13;\n t ^= t << 17;\n v ^= v >>> 15;\n t ^= t >>> 12;\n X[i] = v ^ t;\n }\n // Storing state as object members is faster than using closure variables.\n me.w = w;\n me.X = X;\n me.i = i;\n }\n\n init(me, seed);\n}\n\nfunction copy(f, t) {\n t.i = f.i;\n t.w = f.w;\n t.X = f.X.slice();\n return t;\n};\n\nfunction impl(seed, opts) {\n if (seed == null) seed = +(new Date);\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (state.X) copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.xor4096 = impl;\n}\n\n})(\n this, // window object or global\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n", "// A Javascript implementaion of the \"Tyche-i\" prng algorithm by\n// Samuel Neves and Filipe Araujo.\n// See https://eden.dei.uc.pt/~sneves/pubs/2011-snfa2.pdf\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this, strseed = '';\n\n // Set up generator function.\n me.next = function() {\n var b = me.b, c = me.c, d = me.d, a = me.a;\n b = (b << 25) ^ (b >>> 7) ^ c;\n c = (c - d) | 0;\n d = (d << 24) ^ (d >>> 8) ^ a;\n a = (a - b) | 0;\n me.b = b = (b << 20) ^ (b >>> 12) ^ c;\n me.c = c = (c - d) | 0;\n me.d = (d << 16) ^ (c >>> 16) ^ a;\n return me.a = (a - b) | 0;\n };\n\n /* The following is non-inverted tyche, which has better internal\n * bit diffusion, but which is about 25% slower than tyche-i in JS.\n me.next = function() {\n var a = me.a, b = me.b, c = me.c, d = me.d;\n a = (me.a + me.b | 0) >>> 0;\n d = me.d ^ a; d = d << 16 ^ d >>> 16;\n c = me.c + d | 0;\n b = me.b ^ c; b = b << 12 ^ d >>> 20;\n me.a = a = a + b | 0;\n d = d ^ a; me.d = d = d << 8 ^ d >>> 24;\n me.c = c = c + d | 0;\n b = b ^ c;\n return me.b = (b << 7 ^ b >>> 25);\n }\n */\n\n me.a = 0;\n me.b = 0;\n me.c = 2654435769 | 0;\n me.d = 1367130551;\n\n if (seed === Math.floor(seed)) {\n // Integer seed.\n me.a = (seed / 0x100000000) | 0;\n me.b = seed | 0;\n } else {\n // String seed.\n strseed += seed;\n }\n\n // Mix in string seed, then discard an initial batch of 64 values.\n for (var k = 0; k < strseed.length + 20; k++) {\n me.b ^= strseed.charCodeAt(k) | 0;\n me.next();\n }\n}\n\nfunction copy(f, t) {\n t.a = f.a;\n t.b = f.b;\n t.c = f.c;\n t.d = f.d;\n return t;\n};\n\nfunction impl(seed, opts) {\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (typeof(state) == 'object') copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.tychei = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n\n", "/*\nCopyright 2019 David Bau.\n\nPermission is hereby granted, free of charge, to any person obtaining\na copy of this software and associated documentation files (the\n\"Software\"), to deal in the Software without restriction, including\nwithout limitation the rights to use, copy, modify, merge, publish,\ndistribute, sublicense, and/or sell copies of the Software, and to\npermit persons to whom the Software is furnished to do so, subject to\nthe following conditions:\n\nThe above copyright notice and this permission notice shall be\nincluded in all copies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND,\nEXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF\nMERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.\nIN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY\nCLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,\nTORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE\nSOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.\n\n*/\n\n(function (global, pool, math) {\n//\n// The following constants are related to IEEE 754 limits.\n//\n\nvar width = 256, // each RC4 output is 0 <= x < 256\n chunks = 6, // at least six RC4 outputs for each double\n digits = 52, // there are 52 significant digits in a double\n rngname = 'random', // rngname: name for Math.random and Math.seedrandom\n startdenom = math.pow(width, chunks),\n significance = math.pow(2, digits),\n overflow = significance * 2,\n mask = width - 1,\n nodecrypto; // node.js crypto module, initialized at the bottom.\n\n//\n// seedrandom()\n// This is the seedrandom function described above.\n//\nfunction seedrandom(seed, options, callback) {\n var key = [];\n options = (options == true) ? { entropy: true } : (options || {});\n\n // Flatten the seed string or build one from local entropy if needed.\n var shortseed = mixkey(flatten(\n options.entropy ? [seed, tostring(pool)] :\n (seed == null) ? autoseed() : seed, 3), key);\n\n // Use the seed to initialize an ARC4 generator.\n var arc4 = new ARC4(key);\n\n // This function returns a random double in [0, 1) that contains\n // randomness in every bit of the mantissa of the IEEE 754 value.\n var prng = function() {\n var n = arc4.g(chunks), // Start with a numerator n < 2 ^ 48\n d = startdenom, // and denominator d = 2 ^ 48.\n x = 0; // and no 'extra last byte'.\n while (n < significance) { // Fill up all significant digits by\n n = (n + x) * width; // shifting numerator and\n d *= width; // denominator and generating a\n x = arc4.g(1); // new least-significant-byte.\n }\n while (n >= overflow) { // To avoid rounding up, before adding\n n /= 2; // last byte, shift everything\n d /= 2; // right using integer math until\n x >>>= 1; // we have exactly the desired bits.\n }\n return (n + x) / d; // Form the number within [0, 1).\n };\n\n prng.int32 = function() { return arc4.g(4) | 0; }\n prng.quick = function() { return arc4.g(4) / 0x100000000; }\n prng.double = prng;\n\n // Mix the randomness into accumulated entropy.\n mixkey(tostring(arc4.S), pool);\n\n // Calling convention: what to return as a function of prng, seed, is_math.\n return (options.pass || callback ||\n function(prng, seed, is_math_call, state) {\n if (state) {\n // Load the arc4 state from the given state if it has an S array.\n if (state.S) { copy(state, arc4); }\n // Only provide the .state method if requested via options.state.\n prng.state = function() { return copy(arc4, {}); }\n }\n\n // If called as a method of Math (Math.seedrandom()), mutate\n // Math.random because that is how seedrandom.js has worked since v1.0.\n if (is_math_call) { math[rngname] = prng; return seed; }\n\n // Otherwise, it is a newer calling convention, so return the\n // prng directly.\n else return prng;\n })(\n prng,\n shortseed,\n 'global' in options ? options.global : (this == math),\n options.state);\n}\n\n//\n// ARC4\n//\n// An ARC4 implementation. The constructor takes a key in the form of\n// an array of at most (width) integers that should be 0 <= x < (width).\n//\n// The g(count) method returns a pseudorandom integer that concatenates\n// the next (count) outputs from ARC4. Its return value is a number x\n// that is in the range 0 <= x < (width ^ count).\n//\nfunction ARC4(key) {\n var t, keylen = key.length,\n me = this, i = 0, j = me.i = me.j = 0, s = me.S = [];\n\n // The empty key [] is treated as [0].\n if (!keylen) { key = [keylen++]; }\n\n // Set up S using the standard key scheduling algorithm.\n while (i < width) {\n s[i] = i++;\n }\n for (i = 0; i < width; i++) {\n s[i] = s[j = mask & (j + key[i % keylen] + (t = s[i]))];\n s[j] = t;\n }\n\n // The \"g\" method returns the next (count) outputs as one number.\n (me.g = function(count) {\n // Using instance members instead of closure state nearly doubles speed.\n var t, r = 0,\n i = me.i, j = me.j, s = me.S;\n while (count--) {\n t = s[i = mask & (i + 1)];\n r = r * width + s[mask & ((s[i] = s[j = mask & (j + t)]) + (s[j] = t))];\n }\n me.i = i; me.j = j;\n return r;\n // For robust unpredictability, the function call below automatically\n // discards an initial batch of values. This is called RC4-drop[256].\n // See http://google.com/search?q=rsa+fluhrer+response&btnI\n })(width);\n}\n\n//\n// copy()\n// Copies internal state of ARC4 to or from a plain object.\n//\nfunction copy(f, t) {\n t.i = f.i;\n t.j = f.j;\n t.S = f.S.slice();\n return t;\n};\n\n//\n// flatten()\n// Converts an object tree to nested arrays of strings.\n//\nfunction flatten(obj, depth) {\n var result = [], typ = (typeof obj), prop;\n if (depth && typ == 'object') {\n for (prop in obj) {\n try { result.push(flatten(obj[prop], depth - 1)); } catch (e) {}\n }\n }\n return (result.length ? result : typ == 'string' ? obj : obj + '\\0');\n}\n\n//\n// mixkey()\n// Mixes a string seed into a key that is an array of integers, and\n// returns a shortened string seed that is equivalent to the result key.\n//\nfunction mixkey(seed, key) {\n var stringseed = seed + '', smear, j = 0;\n while (j < stringseed.length) {\n key[mask & j] =\n mask & ((smear ^= key[mask & j] * 19) + stringseed.charCodeAt(j++));\n }\n return tostring(key);\n}\n\n//\n// autoseed()\n// Returns an object for autoseeding, using window.crypto and Node crypto\n// module if available.\n//\nfunction autoseed() {\n try {\n var out;\n if (nodecrypto && (out = nodecrypto.randomBytes)) {\n // The use of 'out' to remember randomBytes makes tight minified code.\n out = out(width);\n } else {\n out = new Uint8Array(width);\n (global.crypto || global.msCrypto).getRandomValues(out);\n }\n return tostring(out);\n } catch (e) {\n var browser = global.navigator,\n plugins = browser && browser.plugins;\n return [+new Date, global, plugins, global.screen, tostring(pool)];\n }\n}\n\n//\n// tostring()\n// Converts an array of charcodes to a string\n//\nfunction tostring(a) {\n return String.fromCharCode.apply(0, a);\n}\n\n//\n// When seedrandom.js is loaded, we immediately mix a few bits\n// from the built-in RNG into the entropy pool. Because we do\n// not want to interfere with deterministic PRNG state later,\n// seedrandom will not call math.random on its own again after\n// initialization.\n//\nmixkey(math.random(), pool);\n\n//\n// Nodejs and AMD support: export the implementation as a module using\n// either convention.\n//\nif ((typeof module) == 'object' && module.exports) {\n module.exports = seedrandom;\n // When in node.js, try using crypto package for autoseeding.\n try {\n nodecrypto = require('crypto');\n } catch (ex) {}\n} else if ((typeof define) == 'function' && define.amd) {\n define(function() { return seedrandom; });\n} else {\n // When included as a plain script, set up Math.seedrandom global.\n math['seed' + rngname] = seedrandom;\n}\n\n\n// End anonymous scope, and pass initial values.\n})(\n // global: `self` in browsers (including strict mode and web workers),\n // otherwise `this` in Node and other environments\n (typeof self !== 'undefined') ? self : this,\n [], // pool: entropy pool starts empty\n Math // math: package containing random, pow, and seedrandom\n);\n", "// A library of seedable RNGs implemented in Javascript.\n//\n// Usage:\n//\n// var seedrandom = require('seedrandom');\n// var random = seedrandom(1); // or any seed.\n// var x = random(); // 0 <= x < 1. Every bit is random.\n// var x = random.quick(); // 0 <= x < 1. 32 bits of randomness.\n\n// alea, a 53-bit multiply-with-carry generator by Johannes Baag\u00F8e.\n// Period: ~2^116\n// Reported to pass all BigCrush tests.\nvar alea = require('./lib/alea');\n\n// xor128, a pure xor-shift generator by George Marsaglia.\n// Period: 2^128-1.\n// Reported to fail: MatrixRank and LinearComp.\nvar xor128 = require('./lib/xor128');\n\n// xorwow, George Marsaglia's 160-bit xor-shift combined plus weyl.\n// Period: 2^192-2^32\n// Reported to fail: CollisionOver, SimpPoker, and LinearComp.\nvar xorwow = require('./lib/xorwow');\n\n// xorshift7, by Fran\u00E7ois Panneton and Pierre L'ecuyer, takes\n// a different approach: it adds robustness by allowing more shifts\n// than Marsaglia's original three. It is a 7-shift generator\n// with 256 bits, that passes BigCrush with no systmatic failures.\n// Period 2^256-1.\n// No systematic BigCrush failures reported.\nvar xorshift7 = require('./lib/xorshift7');\n\n// xor4096, by Richard Brent, is a 4096-bit xor-shift with a\n// very long period that also adds a Weyl generator. It also passes\n// BigCrush with no systematic failures. Its long period may\n// be useful if you have many generators and need to avoid\n// collisions.\n// Period: 2^4128-2^32.\n// No systematic BigCrush failures reported.\nvar xor4096 = require('./lib/xor4096');\n\n// Tyche-i, by Samuel Neves and Filipe Araujo, is a bit-shifting random\n// number generator derived from ChaCha, a modern stream cipher.\n// https://eden.dei.uc.pt/~sneves/pubs/2011-snfa2.pdf\n// Period: ~2^127\n// No systematic BigCrush failures reported.\nvar tychei = require('./lib/tychei');\n\n// The original ARC4-based prng included in this library.\n// Period: ~2^1600\nvar sr = require('./seedrandom');\n\nsr.alea = alea;\nsr.xor128 = xor128;\nsr.xorwow = xorwow;\nsr.xorshift7 = xorshift7;\nsr.xor4096 = xor4096;\nsr.tychei = tychei;\n\nmodule.exports = sr;\n", "", null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, "export const wasmWorkerContents = 'var threadInfoStruct=0;var selfThreadId=0;var parentThreadId=0;var Module={};function threadPrintErr(){var text=Array.prototype.slice.call(arguments).join(\" \");console.error(text)}function threadAlert(){var text=Array.prototype.slice.call(arguments).join(\" \");postMessage({cmd:\"alert\",text:text,threadId:selfThreadId})}var err=threadPrintErr;this.alert=threadAlert;Module[\"instantiateWasm\"]=function(info,receiveInstance){var instance=new WebAssembly.Instance(Module[\"wasmModule\"],info);Module[\"wasmModule\"]=null;receiveInstance(instance);return instance.exports};this.onmessage=function(e){try{if(e.data.cmd===\"load\"){Module[\"DYNAMIC_BASE\"]=e.data.DYNAMIC_BASE;Module[\"DYNAMICTOP_PTR\"]=e.data.DYNAMICTOP_PTR;Module[\"wasmModule\"]=e.data.wasmModule;Module[\"wasmMemory\"]=e.data.wasmMemory;Module[\"buffer\"]=Module[\"wasmMemory\"].buffer;Module[\"ENVIRONMENT_IS_PTHREAD\"]=true;if(typeof e.data.urlOrBlob===\"string\"){importScripts(e.data.urlOrBlob)}else{var objectUrl=URL.createObjectURL(e.data.urlOrBlob);importScripts(objectUrl);URL.revokeObjectURL(objectUrl)}Module=WasmBackendModuleThreadedSimd(Module);postMessage({\"cmd\":\"loaded\"})}else if(e.data.cmd===\"objectTransfer\"){Module[\"PThread\"].receiveObjectTransfer(e.data)}else if(e.data.cmd===\"run\"){Module[\"__performance_now_clock_drift\"]=performance.now()-e.data.time;threadInfoStruct=e.data.threadInfoStruct;Module[\"__register_pthread_ptr\"](threadInfoStruct,0,0);selfThreadId=e.data.selfThreadId;parentThreadId=e.data.parentThreadId;var max=e.data.stackBase;var top=e.data.stackBase+e.data.stackSize;Module[\"establishStackSpace\"](top,max);Module[\"_emscripten_tls_init\"]();Module[\"PThread\"].receiveObjectTransfer(e.data);Module[\"PThread\"].setThreadStatus(Module[\"_pthread_self\"](),1);try{var result=Module[\"dynCall_ii\"](e.data.start_routine,e.data.arg);if(!Module[\"getNoExitRuntime\"]())Module[\"PThread\"].threadExit(result)}catch(ex){if(ex===\"Canceled!\"){Module[\"PThread\"].threadCancel()}else if(ex!=\"unwind\"){Atomics.store(Module[\"HEAPU32\"],threadInfoStruct+4>>2,ex instanceof Module[\"ExitStatus\"]?ex.status:-2);Atomics.store(Module[\"HEAPU32\"],threadInfoStruct+0>>2,1);Module[\"_emscripten_futex_wake\"](threadInfoStruct+0,2147483647);if(!(ex instanceof Module[\"ExitStatus\"]))throw ex}}}else if(e.data.cmd===\"cancel\"){if(threadInfoStruct){Module[\"PThread\"].threadCancel()}}else if(e.data.target===\"setimmediate\"){}else if(e.data.cmd===\"processThreadQueue\"){if(threadInfoStruct){Module[\"_emscripten_current_thread_process_queued_calls\"]()}}else{err(\"worker.js received unknown command \"+e.data.cmd);err(e.data)}}catch(ex){err(\"worker.js onmessage() captured an uncaught exception: \"+ex);if(ex.stack)err(ex.stack);throw ex}};if(typeof process===\"object\"&&typeof process.versions===\"object\"&&typeof process.versions.node===\"string\"){self={location:{href:__filename}};var onmessage=this.onmessage;var nodeWorkerThreads=require(\"worker_threads\");Worker=nodeWorkerThreads.Worker;var parentPort=nodeWorkerThreads.parentPort;parentPort.on(\"message\",function(data){onmessage({data:data})});var nodeFS=require(\"fs\");var nodeRead=function(filename){return nodeFS.readFileSync(filename,\"utf8\")};function globalEval(x){global.require=require;global.Module=Module;eval.call(null,x)}importScripts=function(f){globalEval(nodeRead(f))};postMessage=function(msg){parentPort.postMessage(msg)};if(typeof performance===\"undefined\"){performance={now:function(){return Date.now()}}}}';", null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, "// wrapper to load tfjs in a single place so version can be changed quickly\n\n// simplified\n// { modules: 1061, moduleBytes: 3772720, outputBytes: 1531035 }\n\n// export * from '@tensorflow/tfjs/dist/index.js';\n// export * from '@tensorflow/tfjs-backend-wasm';\n\n// modular\n// { modules: 1064, moduleBytes: 3793219, outputBytes: 1535600 }\n\n// get versions of all packages.\nimport * as packageBundle from '@tensorflow/tfjs/package.json';\nimport * as packageCore from '@tensorflow/tfjs-core/package.json';\nimport * as packageData from '@tensorflow/tfjs-data/package.json';\nimport * as packageLayers from '@tensorflow/tfjs-layers/package.json';\nimport * as packageConverter from '@tensorflow/tfjs-converter/package.json';\n// for backends, get version from source so it can register backend during import\nimport { version_cpu } from '@tensorflow/tfjs-backend-cpu/dist/index.js';\nimport { version_webgl } from '@tensorflow/tfjs-backend-webgl/dist/index.js';\nimport { version_wasm } from '@tensorflow/tfjs-backend-wasm/dist/index.js';\n\n// export all\nexport * from '@tensorflow/tfjs-core/dist/index.js';\nexport * from '@tensorflow/tfjs-layers/dist/index.js';\nexport * from '@tensorflow/tfjs-converter/dist/index.js';\nexport * as data from '@tensorflow/tfjs-data/dist/index.js';\nexport * from '@tensorflow/tfjs-backend-cpu/dist/index.js';\nexport * from '@tensorflow/tfjs-backend-webgl/dist/index.js';\nexport * from '@tensorflow/tfjs-backend-wasm/dist/index.js';\n\n// export versions\nexport const version = {\n tfjs: packageBundle.version,\n 'tfjs-core': packageCore.version,\n 'tfjs-data': packageData.version,\n 'tfjs-layers': packageLayers.version,\n 'tfjs-converter': packageConverter.version,\n 'tfjs-backend-cpu': version_cpu,\n 'tfjs-backend-webgl': version_webgl,\n 'tfjs-backend-wasm': version_wasm,\n};\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\n\nexport const config = {\n name: 'humangl',\n priority: 99,\n canvas: null,\n gl: null,\n width: 1024,\n height: 1024,\n webGLattr: { // https://www.khronos.org/registry/webgl/specs/latest/1.0/#5.2\n alpha: false,\n antialias: false,\n premultipliedAlpha: false,\n preserveDrawingBuffer: false,\n depth: false,\n stencil: false,\n failIfMajorPerformanceCaveat: false,\n desynchronized: true,\n },\n};\n\nexport function register() {\n if (!tf.findBackend(config.name)) {\n log('backend registration:', config.name);\n try {\n // @ts-ignore\n config.canvas = (typeof OffscreenCanvas !== 'undefined') ? new OffscreenCanvas(config.width, config.height) : document.createElement('canvas');\n } catch (err) {\n log('error: cannot create canvas:', err);\n return;\n }\n try {\n // @ts-ignore\n config.gl = config.canvas.getContext('webgl2', config.webGLattr);\n } catch (err) {\n log('error: cannot get WebGL2 context:', err);\n return;\n }\n try {\n tf.setWebGLContext(2, config.gl);\n } catch (err) {\n log('error: cannot set WebGL2 context:', err);\n return;\n }\n try {\n const ctx = new tf.GPGPUContext(config.gl);\n tf.registerBackend(config.name, () => new tf.MathBackendWebGL(ctx), config.priority);\n } catch (err) {\n log('error: cannot register WebGL backend:', err);\n return;\n }\n try {\n const kernels = tf.getKernelsForBackend('webgl');\n kernels.forEach((kernelConfig) => {\n const newKernelConfig = { ...kernelConfig, backendName: config.name };\n tf.registerKernel(newKernelConfig);\n });\n } catch (err) {\n log('error: cannot update WebGL backend registration:', err);\n return;\n }\n try {\n tf.ENV.set('WEBGL_VERSION', 2);\n // @ts-ignore\n tf.ENV.set('WEBGL_MAX_TEXTURE_SIZE', config.gl.getParameter(config.gl.MAX_TEXTURE_SIZE));\n tf.ENV.set('WEBGL_FORCE_F16_TEXTURES', true);\n tf.ENV.set('WEBGL_PACK_DEPTHWISECONV', true);\n } catch (err) {\n log('error: cannot set WebGL backend flags:', err);\n return;\n }\n log('backend registered:', config.name);\n }\n}\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\n\nconst NUM_LANDMARKS = 6;\n\nfunction generateAnchors(inputSize) {\n const spec = { strides: [inputSize / 16, inputSize / 8], anchors: [2, 6] };\n const anchors: Array<[number, number]> = [];\n for (let i = 0; i < spec.strides.length; i++) {\n const stride = spec.strides[i];\n const gridRows = Math.floor((inputSize + stride - 1) / stride);\n const gridCols = Math.floor((inputSize + stride - 1) / stride);\n const anchorsNum = spec.anchors[i];\n for (let gridY = 0; gridY < gridRows; gridY++) {\n const anchorY = stride * (gridY + 0.5);\n for (let gridX = 0; gridX < gridCols; gridX++) {\n const anchorX = stride * (gridX + 0.5);\n for (let n = 0; n < anchorsNum; n++) {\n anchors.push([anchorX, anchorY]);\n }\n }\n }\n }\n return anchors;\n}\n\nexport const disposeBox = (box) => {\n box.startEndTensor.dispose();\n box.startPoint.dispose();\n box.endPoint.dispose();\n};\n\nconst createBox = (startEndTensor) => ({\n startEndTensor,\n startPoint: tf.slice(startEndTensor, [0, 0], [-1, 2]),\n endPoint: tf.slice(startEndTensor, [0, 2], [-1, 2]),\n});\n\nfunction decodeBounds(boxOutputs, anchors, inputSize) {\n const boxStarts = tf.slice(boxOutputs, [0, 1], [-1, 2]);\n const centers = tf.add(boxStarts, anchors);\n const boxSizes = tf.slice(boxOutputs, [0, 3], [-1, 2]);\n const boxSizesNormalized = tf.div(boxSizes, inputSize);\n const centersNormalized = tf.div(centers, inputSize);\n const halfBoxSize = tf.div(boxSizesNormalized, 2);\n const starts = tf.sub(centersNormalized, halfBoxSize);\n const ends = tf.add(centersNormalized, halfBoxSize);\n const startNormalized = tf.mul(starts, inputSize);\n const endNormalized = tf.mul(ends, inputSize);\n const concatAxis = 1;\n return tf.concat2d([startNormalized, endNormalized], concatAxis);\n}\n\nexport class BlazeFaceModel {\n blazeFaceModel: any;\n width: number;\n height: number;\n anchorsData: any;\n anchors: any;\n inputSize: number;\n config: any;\n scaleFaces: number;\n\n constructor(model, config) {\n this.blazeFaceModel = model;\n this.width = config.face.detector.inputSize;\n this.height = config.face.detector.inputSize;\n this.anchorsData = generateAnchors(config.face.detector.inputSize);\n this.anchors = tf.tensor2d(this.anchorsData);\n this.inputSize = tf.tensor1d([this.width, this.height]);\n this.config = config;\n this.scaleFaces = 0.8;\n }\n\n async getBoundingBoxes(inputImage) {\n // sanity check on input\n if ((!inputImage) || (inputImage.isDisposedInternal) || (inputImage.shape.length !== 4) || (inputImage.shape[1] < 1) || (inputImage.shape[2] < 1)) return null;\n const [detectedOutputs, boxes, scores] = tf.tidy(() => {\n const resizedImage = inputImage.resizeBilinear([this.width, this.height]);\n // const normalizedImage = tf.mul(tf.sub(resizedImage.div(255), 0.5), 2);\n const normalizedImage = tf.sub(resizedImage.div(127.5), 1);\n const batchedPrediction = this.blazeFaceModel.predict(normalizedImage);\n let prediction;\n // are we using tfhub or pinto converted model?\n if (Array.isArray(batchedPrediction)) {\n const sorted = batchedPrediction.sort((a, b) => a.size - b.size);\n const concat384 = tf.concat([sorted[0], sorted[2]], 2); // dim: 384, 1 + 16\n const concat512 = tf.concat([sorted[1], sorted[3]], 2); // dim: 512, 1 + 16\n const concat = tf.concat([concat512, concat384], 1);\n prediction = concat.squeeze(0);\n } else {\n prediction = batchedPrediction.squeeze(); // when using tfhub model\n }\n const decodedBounds = decodeBounds(prediction, this.anchors, this.inputSize);\n const logits = tf.slice(prediction, [0, 0], [-1, 1]);\n const scoresOut = tf.sigmoid(logits).squeeze();\n return [prediction, decodedBounds, scoresOut];\n });\n const boxIndicesTensor = await tf.image.nonMaxSuppressionAsync(boxes, scores, this.config.face.detector.maxFaces, this.config.face.detector.iouThreshold, this.config.face.detector.scoreThreshold);\n const boxIndices = boxIndicesTensor.arraySync();\n boxIndicesTensor.dispose();\n const boundingBoxesMap = boxIndices.map((boxIndex) => tf.slice(boxes, [boxIndex, 0], [1, -1]));\n const boundingBoxes = boundingBoxesMap.map((boundingBox) => {\n const vals = boundingBox.arraySync();\n boundingBox.dispose();\n return vals;\n });\n\n const scoresVal = scores.dataSync();\n const annotatedBoxes: Array<{ box: any, landmarks: any, anchor: any, confidence: number }> = [];\n for (let i = 0; i < boundingBoxes.length; i++) {\n const boxIndex = boxIndices[i];\n const confidence = scoresVal[boxIndex];\n if (confidence > this.config.face.detector.minConfidence) {\n const box = createBox(boundingBoxes[i]);\n const anchor = this.anchorsData[boxIndex];\n const landmarks = tf.tidy(() => tf.slice(detectedOutputs, [boxIndex, NUM_LANDMARKS - 1], [1, -1]).squeeze().reshape([NUM_LANDMARKS, -1]));\n annotatedBoxes.push({ box, landmarks, anchor, confidence });\n }\n }\n detectedOutputs.dispose();\n boxes.dispose();\n scores.dispose();\n detectedOutputs.dispose();\n return {\n boxes: annotatedBoxes,\n scaleFactor: [inputImage.shape[2] / this.width, inputImage.shape[1] / this.height],\n };\n }\n}\n\nexport async function load(config) {\n const blazeface = await tf.loadGraphModel(config.face.detector.modelPath, { fromTFHub: config.face.detector.modelPath.includes('tfhub.dev') });\n const model = new BlazeFaceModel(blazeface, config);\n log(`load model: ${config.face.detector.modelPath.match(/\\/(.*)\\./)[1]}`);\n return model;\n}\n", "import * as tf from '../../dist/tfjs.esm.js';\n\nexport function scaleBoxCoordinates(box, factor) {\n const startPoint = [box.startPoint[0] * factor[0], box.startPoint[1] * factor[1]];\n const endPoint = [box.endPoint[0] * factor[0], box.endPoint[1] * factor[1]];\n return { startPoint, endPoint };\n}\n\nexport function getBoxSize(box) {\n return [\n Math.abs(box.endPoint[0] - box.startPoint[0]),\n Math.abs(box.endPoint[1] - box.startPoint[1]),\n ];\n}\n\nexport function getBoxCenter(box) {\n return [\n box.startPoint[0] + (box.endPoint[0] - box.startPoint[0]) / 2,\n box.startPoint[1] + (box.endPoint[1] - box.startPoint[1]) / 2,\n ];\n}\n\nexport function cutBoxFromImageAndResize(box, image, cropSize) {\n const h = image.shape[1];\n const w = image.shape[2];\n const boxes = [[\n box.startPoint[1] / h, box.startPoint[0] / w, box.endPoint[1] / h,\n box.endPoint[0] / w,\n ]];\n return tf.image.cropAndResize(image, boxes, [0], cropSize);\n}\n\nexport function enlargeBox(box, factor = 1.5) {\n const center = getBoxCenter(box);\n const size = getBoxSize(box);\n const newHalfSize = [factor * size[0] / 2, factor * size[1] / 2];\n const startPoint = [center[0] - newHalfSize[0], center[1] - newHalfSize[1]];\n const endPoint = [center[0] + newHalfSize[0], center[1] + newHalfSize[1]];\n return { startPoint, endPoint, landmarks: box.landmarks };\n}\n\nexport function squarifyBox(box) {\n const centers = getBoxCenter(box);\n const size = getBoxSize(box);\n const maxEdge = Math.max(...size);\n const halfSize = maxEdge / 2;\n const startPoint = [centers[0] - halfSize, centers[1] - halfSize];\n const endPoint = [centers[0] + halfSize, centers[1] + halfSize];\n return { startPoint, endPoint, landmarks: box.landmarks };\n}\n", "export const IDENTITY_MATRIX = [[1, 0, 0], [0, 1, 0], [0, 0, 1]];\n/**\n * Normalizes the provided angle to the range -pi to pi.\n * @param angle The angle in radians to be normalized.\n */\nexport function normalizeRadians(angle) {\n return angle - 2 * Math.PI * Math.floor((angle + Math.PI) / (2 * Math.PI));\n}\n\n/**\n * Computes the angle of rotation between two anchor points.\n * @param point1 First anchor point\n * @param point2 Second anchor point\n */\nexport function computeRotation(point1, point2) {\n const radians = Math.PI / 2 - Math.atan2(-(point2[1] - point1[1]), point2[0] - point1[0]);\n return normalizeRadians(radians);\n}\n\nexport function radToDegrees(rad) {\n return rad * 180 / Math.PI;\n}\n\nexport function buildTranslationMatrix(x, y) {\n return [[1, 0, x], [0, 1, y], [0, 0, 1]];\n}\n\nexport function dot(v1, v2) {\n let product = 0;\n for (let i = 0; i < v1.length; i++) {\n product += v1[i] * v2[i];\n }\n return product;\n}\n\nexport function getColumnFrom2DArr(arr, columnIndex) {\n const column: Array = [];\n for (let i = 0; i < arr.length; i++) {\n column.push(arr[i][columnIndex]);\n }\n return column;\n}\n\nexport function multiplyTransformMatrices(mat1, mat2) {\n const product: Array = [];\n const size = mat1.length;\n for (let row = 0; row < size; row++) {\n product.push([]);\n for (let col = 0; col < size; col++) {\n product[row].push(dot(mat1[row], getColumnFrom2DArr(mat2, col)));\n }\n }\n return product;\n}\n\nexport function buildRotationMatrix(rotation, center) {\n const cosA = Math.cos(rotation);\n const sinA = Math.sin(rotation);\n const rotationMatrix = [[cosA, -sinA, 0], [sinA, cosA, 0], [0, 0, 1]];\n const translationMatrix = buildTranslationMatrix(center[0], center[1]);\n const translationTimesRotation = multiplyTransformMatrices(translationMatrix, rotationMatrix);\n const negativeTranslationMatrix = buildTranslationMatrix(-center[0], -center[1]);\n return multiplyTransformMatrices(translationTimesRotation, negativeTranslationMatrix);\n}\n\nexport function invertTransformMatrix(matrix) {\n const rotationComponent = [[matrix[0][0], matrix[1][0]], [matrix[0][1], matrix[1][1]]];\n const translationComponent = [matrix[0][2], matrix[1][2]];\n const invertedTranslation = [\n -dot(rotationComponent[0], translationComponent),\n -dot(rotationComponent[1], translationComponent),\n ];\n return [\n rotationComponent[0].concat(invertedTranslation[0]),\n rotationComponent[1].concat(invertedTranslation[1]),\n [0, 0, 1],\n ];\n}\n\nexport function rotatePoint(homogeneousCoordinate, rotationMatrix) {\n return [\n dot(homogeneousCoordinate, rotationMatrix[0]),\n dot(homogeneousCoordinate, rotationMatrix[1]),\n ];\n}\n\nexport function xyDistanceBetweenPoints(a, b) {\n return Math.sqrt(((a[0] - b[0]) ** 2) + ((a[1] - b[1]) ** 2));\n}\n", "export const MESH_ANNOTATIONS = {\n silhouette: [\n 10, 338, 297, 332, 284, 251, 389, 356, 454, 323, 361, 288,\n 397, 365, 379, 378, 400, 377, 152, 148, 176, 149, 150, 136,\n 172, 58, 132, 93, 234, 127, 162, 21, 54, 103, 67, 109,\n ],\n lipsUpperOuter: [61, 185, 40, 39, 37, 0, 267, 269, 270, 409, 291],\n lipsLowerOuter: [146, 91, 181, 84, 17, 314, 405, 321, 375, 291],\n lipsUpperInner: [78, 191, 80, 81, 82, 13, 312, 311, 310, 415, 308],\n lipsLowerInner: [78, 95, 88, 178, 87, 14, 317, 402, 318, 324, 308],\n rightEyeUpper0: [246, 161, 160, 159, 158, 157, 173],\n rightEyeLower0: [33, 7, 163, 144, 145, 153, 154, 155, 133],\n rightEyeUpper1: [247, 30, 29, 27, 28, 56, 190],\n rightEyeLower1: [130, 25, 110, 24, 23, 22, 26, 112, 243],\n rightEyeUpper2: [113, 225, 224, 223, 222, 221, 189],\n rightEyeLower2: [226, 31, 228, 229, 230, 231, 232, 233, 244],\n rightEyeLower3: [143, 111, 117, 118, 119, 120, 121, 128, 245],\n rightEyebrowUpper: [156, 70, 63, 105, 66, 107, 55, 193],\n rightEyebrowLower: [35, 124, 46, 53, 52, 65],\n rightEyeIris: [473, 474, 475, 476, 477],\n leftEyeUpper0: [466, 388, 387, 386, 385, 384, 398],\n leftEyeLower0: [263, 249, 390, 373, 374, 380, 381, 382, 362],\n leftEyeUpper1: [467, 260, 259, 257, 258, 286, 414],\n leftEyeLower1: [359, 255, 339, 254, 253, 252, 256, 341, 463],\n leftEyeUpper2: [342, 445, 444, 443, 442, 441, 413],\n leftEyeLower2: [446, 261, 448, 449, 450, 451, 452, 453, 464],\n leftEyeLower3: [372, 340, 346, 347, 348, 349, 350, 357, 465],\n leftEyebrowUpper: [383, 300, 293, 334, 296, 336, 285, 417],\n leftEyebrowLower: [265, 353, 276, 283, 282, 295],\n leftEyeIris: [468, 469, 470, 471, 472],\n midwayBetweenEyes: [168],\n noseTip: [1],\n noseBottom: [2],\n noseRightCorner: [98],\n noseLeftCorner: [327],\n rightCheek: [205],\n leftCheek: [425],\n};\n\nexport const MESH_TO_IRIS_INDICES_MAP = [ // A mapping from facemesh model keypoints to iris model keypoints.\n { key: 'EyeUpper0', indices: [9, 10, 11, 12, 13, 14, 15] },\n { key: 'EyeUpper1', indices: [25, 26, 27, 28, 29, 30, 31] },\n { key: 'EyeUpper2', indices: [41, 42, 43, 44, 45, 46, 47] },\n { key: 'EyeLower0', indices: [0, 1, 2, 3, 4, 5, 6, 7, 8] },\n { key: 'EyeLower1', indices: [16, 17, 18, 19, 20, 21, 22, 23, 24] },\n { key: 'EyeLower2', indices: [32, 33, 34, 35, 36, 37, 38, 39, 40] },\n { key: 'EyeLower3', indices: [54, 55, 56, 57, 58, 59, 60, 61, 62] },\n // { key: 'EyebrowUpper', indices: [63, 64, 65, 66, 67, 68, 69, 70] },\n // { key: 'EyebrowLower', indices: [48, 49, 50, 51, 52, 53] },\n];\n\nexport const UV468 = [\n [0.499976992607117, 0.652534008026123],\n [0.500025987625122, 0.547487020492554],\n [0.499974012374878, 0.602371990680695],\n [0.482113003730774, 0.471979022026062],\n [0.500150978565216, 0.527155995368958],\n [0.499909996986389, 0.498252987861633],\n [0.499523013830185, 0.40106201171875],\n [0.289712011814117, 0.380764007568359],\n [0.499954998493195, 0.312398016452789],\n [0.499987006187439, 0.269918978214264],\n [0.500023007392883, 0.107050001621246],\n [0.500023007392883, 0.666234016418457],\n [0.5000159740448, 0.679224014282227],\n [0.500023007392883, 0.692348003387451],\n [0.499976992607117, 0.695277988910675],\n [0.499976992607117, 0.70593398809433],\n [0.499976992607117, 0.719385027885437],\n [0.499976992607117, 0.737019002437592],\n [0.499967992305756, 0.781370997428894],\n [0.499816000461578, 0.562981009483337],\n [0.473773002624512, 0.573909997940063],\n [0.104906998574734, 0.254140973091125],\n [0.365929991006851, 0.409575998783112],\n [0.338757991790771, 0.41302502155304],\n [0.311120003461838, 0.409460008144379],\n [0.274657994508743, 0.389131009578705],\n [0.393361985683441, 0.403706014156342],\n [0.345234006643295, 0.344011008739471],\n [0.370094001293182, 0.346076011657715],\n [0.319321990013123, 0.347265005111694],\n [0.297903001308441, 0.353591024875641],\n [0.24779200553894, 0.410809993743896],\n [0.396889001131058, 0.842755019664764],\n [0.280097991228104, 0.375599980354309],\n [0.106310002505779, 0.399955987930298],\n [0.2099249958992, 0.391353011131287],\n [0.355807989835739, 0.534406006336212],\n [0.471751004457474, 0.65040397644043],\n [0.474155008792877, 0.680191993713379],\n [0.439785003662109, 0.657229006290436],\n [0.414617002010345, 0.66654098033905],\n [0.450374007225037, 0.680860996246338],\n [0.428770989179611, 0.682690978050232],\n [0.374971002340317, 0.727805018424988],\n [0.486716985702515, 0.547628998756409],\n [0.485300987958908, 0.527395009994507],\n [0.257764995098114, 0.314490020275116],\n [0.401223003864288, 0.455172002315521],\n [0.429818987846375, 0.548614978790283],\n [0.421351999044418, 0.533740997314453],\n [0.276895999908447, 0.532056987285614],\n [0.483370006084442, 0.499586999416351],\n [0.33721199631691, 0.282882988452911],\n [0.296391993761063, 0.293242990970612],\n [0.169294998049736, 0.193813979625702],\n [0.447580009698868, 0.302609980106354],\n [0.392390012741089, 0.353887975215912],\n [0.354490011930466, 0.696784019470215],\n [0.067304998636246, 0.730105042457581],\n [0.442739009857178, 0.572826027870178],\n [0.457098007202148, 0.584792017936707],\n [0.381974011659622, 0.694710969924927],\n [0.392388999462128, 0.694203019142151],\n [0.277076005935669, 0.271932005882263],\n [0.422551989555359, 0.563233017921448],\n [0.385919004678726, 0.281364023685455],\n [0.383103013038635, 0.255840003490448],\n [0.331431001424789, 0.119714021682739],\n [0.229923993349075, 0.232002973556519],\n [0.364500999450684, 0.189113974571228],\n [0.229622006416321, 0.299540996551514],\n [0.173287004232407, 0.278747975826263],\n [0.472878992557526, 0.666198015213013],\n [0.446828007698059, 0.668527007102966],\n [0.422762006521225, 0.673889994621277],\n [0.445307999849319, 0.580065965652466],\n [0.388103008270264, 0.693961024284363],\n [0.403039008378983, 0.706539988517761],\n [0.403629004955292, 0.693953037261963],\n [0.460041999816895, 0.557139039039612],\n [0.431158006191254, 0.692366003990173],\n [0.452181994915009, 0.692366003990173],\n [0.475387006998062, 0.692366003990173],\n [0.465828001499176, 0.779190003871918],\n [0.472328990697861, 0.736225962638855],\n [0.473087012767792, 0.717857003211975],\n [0.473122000694275, 0.704625964164734],\n [0.473033010959625, 0.695277988910675],\n [0.427942007780075, 0.695277988910675],\n [0.426479011774063, 0.703539967536926],\n [0.423162013292313, 0.711845993995667],\n [0.4183090031147, 0.720062971115112],\n [0.390094995498657, 0.639572978019714],\n [0.013953999616206, 0.560034036636353],\n [0.499913990497589, 0.58014702796936],\n [0.413199990987778, 0.69539999961853],\n [0.409626007080078, 0.701822996139526],\n [0.468080013990402, 0.601534962654114],\n [0.422728985548019, 0.585985004901886],\n [0.463079988956451, 0.593783974647522],\n [0.37211999297142, 0.47341400384903],\n [0.334562003612518, 0.496073007583618],\n [0.411671012639999, 0.546965003013611],\n [0.242175996303558, 0.14767599105835],\n [0.290776997804642, 0.201445996761322],\n [0.327338010072708, 0.256527006626129],\n [0.399509996175766, 0.748921036720276],\n [0.441727995872498, 0.261676013469696],\n [0.429764986038208, 0.187834024429321],\n [0.412198007106781, 0.108901023864746],\n [0.288955003023148, 0.398952007293701],\n [0.218936994671822, 0.435410976409912],\n [0.41278201341629, 0.398970007896423],\n [0.257135003805161, 0.355440020561218],\n [0.427684992551804, 0.437960982322693],\n [0.448339998722076, 0.536936044692993],\n [0.178560003638268, 0.45755398273468],\n [0.247308000922203, 0.457193970680237],\n [0.286267012357712, 0.467674970626831],\n [0.332827985286713, 0.460712015628815],\n [0.368755996227264, 0.447206974029541],\n [0.398963987827301, 0.432654976844788],\n [0.476410001516342, 0.405806005001068],\n [0.189241006970406, 0.523923993110657],\n [0.228962004184723, 0.348950982093811],\n [0.490725994110107, 0.562400996685028],\n [0.404670000076294, 0.485132992267609],\n [0.019469000399113, 0.401564002037048],\n [0.426243007183075, 0.420431017875671],\n [0.396993011236191, 0.548797011375427],\n [0.266469985246658, 0.376977026462555],\n [0.439121007919312, 0.51895797252655],\n [0.032313998788595, 0.644356966018677],\n [0.419054001569748, 0.387154996395111],\n [0.462783008813858, 0.505746960639954],\n [0.238978996872902, 0.779744982719421],\n [0.198220998048782, 0.831938028335571],\n [0.107550002634525, 0.540755033493042],\n [0.183610007166862, 0.740257024765015],\n [0.134409993886948, 0.333683013916016],\n [0.385764002799988, 0.883153975009918],\n [0.490967005491257, 0.579378008842468],\n [0.382384985685349, 0.508572995662689],\n [0.174399003386497, 0.397670984268188],\n [0.318785011768341, 0.39623498916626],\n [0.343364000320435, 0.400596976280212],\n [0.396100014448166, 0.710216999053955],\n [0.187885001301765, 0.588537991046906],\n [0.430987000465393, 0.944064974784851],\n [0.318993002176285, 0.898285031318665],\n [0.266247987747192, 0.869701027870178],\n [0.500023007392883, 0.190576016902924],\n [0.499976992607117, 0.954452991485596],\n [0.366169989109039, 0.398822009563446],\n [0.393207013607025, 0.39553701877594],\n [0.410373002290726, 0.391080021858215],\n [0.194993004202843, 0.342101991176605],\n [0.388664990663528, 0.362284004688263],\n [0.365961998701096, 0.355970978736877],\n [0.343364000320435, 0.355356991291046],\n [0.318785011768341, 0.35834002494812],\n [0.301414996385574, 0.363156020641327],\n [0.058132998645306, 0.319076001644135],\n [0.301414996385574, 0.387449026107788],\n [0.499987989664078, 0.618434011936188],\n [0.415838003158569, 0.624195992946625],\n [0.445681989192963, 0.566076993942261],\n [0.465844005346298, 0.620640993118286],\n [0.49992299079895, 0.351523995399475],\n [0.288718998432159, 0.819945991039276],\n [0.335278987884521, 0.852819979190826],\n [0.440512001514435, 0.902418971061707],\n [0.128294005990028, 0.791940987110138],\n [0.408771991729736, 0.373893976211548],\n [0.455606997013092, 0.451801002025604],\n [0.499877005815506, 0.908990025520325],\n [0.375436991453171, 0.924192011356354],\n [0.11421000212431, 0.615022003650665],\n [0.448662012815475, 0.695277988910675],\n [0.4480200111866, 0.704632043838501],\n [0.447111994028091, 0.715808033943176],\n [0.444831997156143, 0.730794012546539],\n [0.430011987686157, 0.766808986663818],\n [0.406787008047104, 0.685672998428345],\n [0.400738000869751, 0.681069016456604],\n [0.392399996519089, 0.677703022956848],\n [0.367855995893478, 0.663918972015381],\n [0.247923001646996, 0.601333022117615],\n [0.452769994735718, 0.420849978923798],\n [0.43639200925827, 0.359887003898621],\n [0.416164010763168, 0.368713974952698],\n [0.413385987281799, 0.692366003990173],\n [0.228018000721931, 0.683571994304657],\n [0.468268007040024, 0.352671027183533],\n [0.411361992359161, 0.804327011108398],\n [0.499989002943039, 0.469825029373169],\n [0.479153990745544, 0.442654013633728],\n [0.499974012374878, 0.439637005329132],\n [0.432112008333206, 0.493588984012604],\n [0.499886006116867, 0.866917014122009],\n [0.49991300702095, 0.821729004383087],\n [0.456548988819122, 0.819200992584229],\n [0.344549000263214, 0.745438992977142],\n [0.37890899181366, 0.574010014533997],\n [0.374292999505997, 0.780184984207153],\n [0.319687992334366, 0.570737957954407],\n [0.357154995203018, 0.604269981384277],\n [0.295284003019333, 0.621580958366394],\n [0.447750002145767, 0.862477004528046],\n [0.410986006259918, 0.508723020553589],\n [0.31395098567009, 0.775308012962341],\n [0.354128003120422, 0.812552988529205],\n [0.324548006057739, 0.703992962837219],\n [0.189096003770828, 0.646299958229065],\n [0.279776990413666, 0.71465802192688],\n [0.1338230073452, 0.682700991630554],\n [0.336768001317978, 0.644733011722565],\n [0.429883986711502, 0.466521978378296],\n [0.455527991056442, 0.548622965812683],\n [0.437114000320435, 0.558896005153656],\n [0.467287987470627, 0.529924988746643],\n [0.414712011814117, 0.335219979286194],\n [0.37704598903656, 0.322777986526489],\n [0.344107985496521, 0.320150971412659],\n [0.312875986099243, 0.32233202457428],\n [0.283526003360748, 0.333190023899078],\n [0.241245999932289, 0.382785975933075],\n [0.102986000478268, 0.468762993812561],\n [0.267612010240555, 0.424560010433197],\n [0.297879010438919, 0.433175981044769],\n [0.333433985710144, 0.433878004550934],\n [0.366427004337311, 0.426115989685059],\n [0.396012008190155, 0.416696012020111],\n [0.420121014118195, 0.41022801399231],\n [0.007561000064015, 0.480777025222778],\n [0.432949006557465, 0.569517970085144],\n [0.458638995885849, 0.479089021682739],\n [0.473466008901596, 0.545744001865387],\n [0.476087987422943, 0.563830018043518],\n [0.468472003936768, 0.555056989192963],\n [0.433990985155106, 0.582361996173859],\n [0.483518004417419, 0.562983989715576],\n [0.482482999563217, 0.57784903049469],\n [0.42645001411438, 0.389798998832703],\n [0.438998997211456, 0.39649498462677],\n [0.450067013502121, 0.400434017181396],\n [0.289712011814117, 0.368252992630005],\n [0.276670008897781, 0.363372981548309],\n [0.517862021923065, 0.471948027610779],\n [0.710287988185883, 0.380764007568359],\n [0.526226997375488, 0.573909997940063],\n [0.895093023777008, 0.254140973091125],\n [0.634069979190826, 0.409575998783112],\n [0.661242008209229, 0.41302502155304],\n [0.688880026340485, 0.409460008144379],\n [0.725341975688934, 0.389131009578705],\n [0.606630027294159, 0.40370500087738],\n [0.654766023159027, 0.344011008739471],\n [0.629905998706818, 0.346076011657715],\n [0.680678009986877, 0.347265005111694],\n [0.702096998691559, 0.353591024875641],\n [0.75221198797226, 0.410804986953735],\n [0.602918028831482, 0.842862963676453],\n [0.719901978969574, 0.375599980354309],\n [0.893692970275879, 0.399959981441498],\n [0.790081977844238, 0.391354024410248],\n [0.643998026847839, 0.534487962722778],\n [0.528249025344849, 0.65040397644043],\n [0.525849997997284, 0.680191040039062],\n [0.560214996337891, 0.657229006290436],\n [0.585384011268616, 0.66654098033905],\n [0.549625992774963, 0.680860996246338],\n [0.57122802734375, 0.682691991329193],\n [0.624852001667023, 0.72809898853302],\n [0.513050019741058, 0.547281980514526],\n [0.51509702205658, 0.527251958847046],\n [0.742246985435486, 0.314507007598877],\n [0.598631024360657, 0.454979002475739],\n [0.570338010787964, 0.548575043678284],\n [0.578631997108459, 0.533622980117798],\n [0.723087012767792, 0.532054007053375],\n [0.516445994377136, 0.499638974666595],\n [0.662801027297974, 0.282917976379395],\n [0.70362401008606, 0.293271005153656],\n [0.830704987049103, 0.193813979625702],\n [0.552385985851288, 0.302568018436432],\n [0.607609987258911, 0.353887975215912],\n [0.645429015159607, 0.696707010269165],\n [0.932694971561432, 0.730105042457581],\n [0.557260990142822, 0.572826027870178],\n [0.542901992797852, 0.584792017936707],\n [0.6180260181427, 0.694710969924927],\n [0.607590973377228, 0.694203019142151],\n [0.722943007946014, 0.271963000297546],\n [0.577413976192474, 0.563166975975037],\n [0.614082992076874, 0.281386971473694],\n [0.616907000541687, 0.255886018276215],\n [0.668509006500244, 0.119913995265961],\n [0.770092010498047, 0.232020974159241],\n [0.635536015033722, 0.189248979091644],\n [0.77039098739624, 0.299556016921997],\n [0.826722025871277, 0.278755009174347],\n [0.527121007442474, 0.666198015213013],\n [0.553171992301941, 0.668527007102966],\n [0.577238023281097, 0.673889994621277],\n [0.554691970348358, 0.580065965652466],\n [0.611896991729736, 0.693961024284363],\n [0.59696102142334, 0.706539988517761],\n [0.596370995044708, 0.693953037261963],\n [0.539958000183105, 0.557139039039612],\n [0.568841993808746, 0.692366003990173],\n [0.547818005084991, 0.692366003990173],\n [0.52461302280426, 0.692366003990173],\n [0.534089982509613, 0.779141008853912],\n [0.527670979499817, 0.736225962638855],\n [0.526912987232208, 0.717857003211975],\n [0.526877999305725, 0.704625964164734],\n [0.526966989040375, 0.695277988910675],\n [0.572058022022247, 0.695277988910675],\n [0.573521018028259, 0.703539967536926],\n [0.57683801651001, 0.711845993995667],\n [0.581691026687622, 0.720062971115112],\n [0.609944999217987, 0.639909982681274],\n [0.986046016216278, 0.560034036636353],\n [0.5867999792099, 0.69539999961853],\n [0.590372025966644, 0.701822996139526],\n [0.531915009021759, 0.601536989212036],\n [0.577268004417419, 0.585934996604919],\n [0.536915004253387, 0.593786001205444],\n [0.627542972564697, 0.473352015018463],\n [0.665585994720459, 0.495950996875763],\n [0.588353991508484, 0.546862006187439],\n [0.757824003696442, 0.14767599105835],\n [0.709249973297119, 0.201507985591888],\n [0.672684013843536, 0.256581008434296],\n [0.600408971309662, 0.74900496006012],\n [0.55826598405838, 0.261672019958496],\n [0.570303976535797, 0.187870979309082],\n [0.588165998458862, 0.109044015407562],\n [0.711045026779175, 0.398952007293701],\n [0.781069993972778, 0.435405015945435],\n [0.587247014045715, 0.398931980133057],\n [0.742869973182678, 0.355445981025696],\n [0.572156012058258, 0.437651991844177],\n [0.55186802148819, 0.536570012569427],\n [0.821442008018494, 0.457556009292603],\n [0.752701997756958, 0.457181990146637],\n [0.71375697851181, 0.467626988887787],\n [0.66711300611496, 0.460672974586487],\n [0.631101012229919, 0.447153985500336],\n [0.6008620262146, 0.432473003864288],\n [0.523481011390686, 0.405627012252808],\n [0.810747981071472, 0.523926019668579],\n [0.771045982837677, 0.348959028720856],\n [0.509127020835876, 0.562718033790588],\n [0.595292985439301, 0.485023975372314],\n [0.980530977249146, 0.401564002037048],\n [0.573499977588654, 0.420000016689301],\n [0.602994978427887, 0.548687994480133],\n [0.733529984951019, 0.376977026462555],\n [0.560611009597778, 0.519016981124878],\n [0.967685997486115, 0.644356966018677],\n [0.580985009670258, 0.387160003185272],\n [0.537728011608124, 0.505385041236877],\n [0.760966002941132, 0.779752969741821],\n [0.801778972148895, 0.831938028335571],\n [0.892440974712372, 0.54076099395752],\n [0.816350996494293, 0.740260004997253],\n [0.865594983100891, 0.333687007427216],\n [0.614073991775513, 0.883246004581451],\n [0.508952975273132, 0.579437971115112],\n [0.617941975593567, 0.508316040039062],\n [0.825608015060425, 0.397674977779388],\n [0.681214988231659, 0.39623498916626],\n [0.656635999679565, 0.400596976280212],\n [0.603900015354156, 0.710216999053955],\n [0.81208598613739, 0.588539004325867],\n [0.56801301240921, 0.944564998149872],\n [0.681007981300354, 0.898285031318665],\n [0.733752012252808, 0.869701027870178],\n [0.633830010890961, 0.398822009563446],\n [0.606792986392975, 0.39553701877594],\n [0.589659988880157, 0.391062021255493],\n [0.805015981197357, 0.342108011245728],\n [0.611334979534149, 0.362284004688263],\n [0.634037971496582, 0.355970978736877],\n [0.656635999679565, 0.355356991291046],\n [0.681214988231659, 0.35834002494812],\n [0.698584973812103, 0.363156020641327],\n [0.941866993904114, 0.319076001644135],\n [0.698584973812103, 0.387449026107788],\n [0.584177017211914, 0.624107003211975],\n [0.554318010807037, 0.566076993942261],\n [0.534153997898102, 0.62064003944397],\n [0.711217999458313, 0.819975018501282],\n [0.664629995822906, 0.852871000766754],\n [0.559099972248077, 0.902631998062134],\n [0.871706008911133, 0.791940987110138],\n [0.591234028339386, 0.373893976211548],\n [0.544341027736664, 0.451583981513977],\n [0.624562978744507, 0.924192011356354],\n [0.88577002286911, 0.615028977394104],\n [0.551338016986847, 0.695277988910675],\n [0.551980018615723, 0.704632043838501],\n [0.552887976169586, 0.715808033943176],\n [0.555167973041534, 0.730794012546539],\n [0.569944024085999, 0.767035007476807],\n [0.593203008174896, 0.685675978660583],\n [0.599261999130249, 0.681069016456604],\n [0.607599973678589, 0.677703022956848],\n [0.631937980651855, 0.663500010967255],\n [0.752032995223999, 0.601315021514893],\n [0.547226011753082, 0.420395016670227],\n [0.563543975353241, 0.359827995300293],\n [0.583841025829315, 0.368713974952698],\n [0.586614012718201, 0.692366003990173],\n [0.771915018558502, 0.683578014373779],\n [0.531597018241882, 0.352482974529266],\n [0.588370978832245, 0.804440975189209],\n [0.52079701423645, 0.442565023899078],\n [0.567984998226166, 0.493479013442993],\n [0.543282985687256, 0.819254994392395],\n [0.655317008495331, 0.745514988899231],\n [0.621008992195129, 0.574018001556396],\n [0.625559985637665, 0.78031200170517],\n [0.680198013782501, 0.570719003677368],\n [0.64276397228241, 0.604337990283966],\n [0.704662978649139, 0.621529996395111],\n [0.552012026309967, 0.862591981887817],\n [0.589071989059448, 0.508637011051178],\n [0.685944974422455, 0.775357007980347],\n [0.645735025405884, 0.812640011310577],\n [0.675342977046967, 0.703978002071381],\n [0.810858011245728, 0.646304965019226],\n [0.72012197971344, 0.714666962623596],\n [0.866151988506317, 0.682704985141754],\n [0.663187026977539, 0.644596993923187],\n [0.570082008838654, 0.466325998306274],\n [0.544561982154846, 0.548375964164734],\n [0.562758982181549, 0.558784961700439],\n [0.531987011432648, 0.530140042304993],\n [0.585271000862122, 0.335177004337311],\n [0.622952997684479, 0.32277899980545],\n [0.655896008014679, 0.320163011550903],\n [0.687132000923157, 0.322345972061157],\n [0.716481983661652, 0.333200991153717],\n [0.758756995201111, 0.382786989212036],\n [0.897013008594513, 0.468769013881683],\n [0.732392013072968, 0.424547016620636],\n [0.70211398601532, 0.433162987232208],\n [0.66652500629425, 0.433866024017334],\n [0.633504986763, 0.426087975502014],\n [0.603875994682312, 0.416586995124817],\n [0.579657971858978, 0.409945011138916],\n [0.992439985275269, 0.480777025222778],\n [0.567192018032074, 0.569419980049133],\n [0.54136598110199, 0.478899002075195],\n [0.526564002037048, 0.546118021011353],\n [0.523913025856018, 0.563830018043518],\n [0.531529009342194, 0.555056989192963],\n [0.566035985946655, 0.582329034805298],\n [0.51631098985672, 0.563053965568542],\n [0.5174720287323, 0.577877044677734],\n [0.573594987392426, 0.389806985855103],\n [0.560697972774506, 0.395331978797913],\n [0.549755990505219, 0.399751007556915],\n [0.710287988185883, 0.368252992630005],\n [0.723330020904541, 0.363372981548309],\n];\n\nexport const TRI468 = [\n 127, 34, 139, 11, 0, 37, 232, 231, 120, 72, 37, 39, 128, 121, 47, 232, 121, 128, 104, 69, 67, 175, 171, 148, 157, 154, 155, 118, 50, 101, 73, 39, 40, 9,\n 151, 108, 48, 115, 131, 194, 204, 211, 74, 40, 185, 80, 42, 183, 40, 92, 186, 230, 229, 118, 202, 212, 214, 83, 18, 17, 76, 61, 146, 160, 29, 30, 56,\n 157, 173, 106, 204, 194, 135, 214, 192, 203, 165, 98, 21, 71, 68, 51, 45, 4, 144, 24, 23, 77, 146, 91, 205, 50, 187, 201, 200, 18, 91, 106, 182, 90, 91,\n 181, 85, 84, 17, 206, 203, 36, 148, 171, 140, 92, 40, 39, 193, 189, 244, 159, 158, 28, 247, 246, 161, 236, 3, 196, 54, 68, 104, 193, 168, 8, 117,\n 228, 31, 189, 193, 55, 98, 97, 99, 126, 47, 100, 166, 79, 218, 155, 154, 26, 209, 49, 131, 135, 136, 150, 47, 126, 217, 223, 52, 53, 45, 51, 134, 211,\n 170, 140, 67, 69, 108, 43, 106, 91, 230, 119, 120, 226, 130, 247, 63, 53, 52, 238, 20, 242, 46, 70, 156, 78, 62, 96, 46, 53, 63, 143, 34, 227, 173,\n 155, 133, 123, 117, 111, 44, 125, 19, 236, 134, 51, 216, 206, 205, 154, 153, 22, 39, 37, 167, 200, 201, 208, 36, 142, 100, 57, 212, 202, 20, 60, 99, 28,\n 158, 157, 35, 226, 113, 160, 159, 27, 204, 202, 210, 113, 225, 46, 43, 202, 204, 62, 76, 77, 137, 123, 116, 41, 38, 72, 203, 129, 142, 64, 98, 240, 49,\n 102, 64, 41, 73, 74, 212, 216, 207, 42, 74, 184, 169, 170, 211, 170, 149, 176, 105, 66, 69, 122, 6, 168, 123, 147, 187, 96, 77, 90, 65, 55, 107, 89,\n 90, 180, 101, 100, 120, 63, 105, 104, 93, 137, 227, 15, 86, 85, 129, 102, 49, 14, 87, 86, 55, 8, 9, 100, 47, 121, 145, 23, 22, 88, 89, 179, 6, 122,\n 196, 88, 95, 96, 138, 172, 136, 215, 58, 172, 115, 48, 219, 42, 80, 81, 195, 3, 51, 43, 146, 61, 171, 175, 199, 81, 82, 38, 53, 46, 225, 144, 163, 110,\n 246, 33, 7, 52, 65, 66, 229, 228, 117, 34, 127, 234, 107, 108, 69, 109, 108, 151, 48, 64, 235, 62, 78, 191, 129, 209, 126, 111, 35, 143, 163, 161, 246,\n 117, 123, 50, 222, 65, 52, 19, 125, 141, 221, 55, 65, 3, 195, 197, 25, 7, 33, 220, 237, 44, 70, 71, 139, 122, 193, 245, 247, 130, 33, 71, 21, 162,\n 153, 158, 159, 170, 169, 150, 188, 174, 196, 216, 186, 92, 144, 160, 161, 2, 97, 167, 141, 125, 241, 164, 167, 37, 72, 38, 12, 145, 159, 160, 38, 82, 13,\n 63, 68, 71, 226, 35, 111, 158, 153, 154, 101, 50, 205, 206, 92, 165, 209, 198, 217, 165, 167, 97, 220, 115, 218, 133, 112, 243, 239, 238, 241, 214,\n 135, 169, 190, 173, 133, 171, 208, 32, 125, 44, 237, 86, 87, 178, 85, 86, 179, 84, 85, 180, 83, 84, 181, 201, 83, 182, 137, 93, 132, 76, 62, 183, 61,\n 76, 184, 57, 61, 185, 212, 57, 186, 214, 207, 187, 34, 143, 156, 79, 239, 237, 123, 137, 177, 44, 1, 4, 201, 194, 32, 64, 102, 129, 213, 215, 138, 59,\n 166, 219, 242, 99, 97, 2, 94, 141, 75, 59, 235, 24, 110, 228, 25, 130, 226, 23, 24, 229, 22, 23, 230, 26, 22, 231, 112, 26, 232, 189, 190, 243, 221, 56,\n 190, 28, 56, 221, 27, 28, 222, 29, 27, 223, 30, 29, 224, 247, 30, 225, 238, 79, 20, 166, 59, 75, 60, 75, 240, 147, 177, 215, 20, 79, 166, 187, 147, 213,\n 112, 233, 244, 233, 128, 245, 128, 114, 188, 114, 217, 174, 131, 115, 220, 217, 198, 236, 198, 131, 134, 177, 132, 58, 143, 35, 124, 110, 163, 7, 228,\n 110, 25, 356, 389, 368, 11, 302, 267, 452, 350, 349, 302, 303, 269, 357, 343, 277, 452, 453, 357, 333, 332, 297, 175, 152, 377, 384, 398, 382, 347,\n 348, 330, 303, 304, 270, 9, 336, 337, 278, 279, 360, 418, 262, 431, 304, 408, 409, 310, 415, 407, 270, 409, 410, 450, 348, 347, 422, 430, 434, 313,\n 314, 17, 306, 307, 375, 387, 388, 260, 286, 414, 398, 335, 406, 418, 364, 367, 416, 423, 358, 327, 251, 284, 298, 281, 5, 4, 373, 374, 253, 307, 320,\n 321, 425, 427, 411, 421, 313, 18, 321, 405, 406, 320, 404, 405, 315, 16, 17, 426, 425, 266, 377, 400, 369, 322, 391, 269, 417, 465, 464, 386, 257, 258,\n 466, 260, 388, 456, 399, 419, 284, 332, 333, 417, 285, 8, 346, 340, 261, 413, 441, 285, 327, 460, 328, 355, 371, 329, 392, 439, 438, 382, 341, 256,\n 429, 420, 360, 364, 394, 379, 277, 343, 437, 443, 444, 283, 275, 440, 363, 431, 262, 369, 297, 338, 337, 273, 375, 321, 450, 451, 349, 446, 342, 467,\n 293, 334, 282, 458, 461, 462, 276, 353, 383, 308, 324, 325, 276, 300, 293, 372, 345, 447, 382, 398, 362, 352, 345, 340, 274, 1, 19, 456, 248, 281, 436,\n 427, 425, 381, 256, 252, 269, 391, 393, 200, 199, 428, 266, 330, 329, 287, 273, 422, 250, 462, 328, 258, 286, 384, 265, 353, 342, 387, 259, 257, 424,\n 431, 430, 342, 353, 276, 273, 335, 424, 292, 325, 307, 366, 447, 345, 271, 303, 302, 423, 266, 371, 294, 455, 460, 279, 278, 294, 271, 272, 304, 432,\n 434, 427, 272, 407, 408, 394, 430, 431, 395, 369, 400, 334, 333, 299, 351, 417, 168, 352, 280, 411, 325, 319, 320, 295, 296, 336, 319, 403, 404, 330,\n 348, 349, 293, 298, 333, 323, 454, 447, 15, 16, 315, 358, 429, 279, 14, 15, 316, 285, 336, 9, 329, 349, 350, 374, 380, 252, 318, 402, 403, 6, 197, 419,\n 318, 319, 325, 367, 364, 365, 435, 367, 397, 344, 438, 439, 272, 271, 311, 195, 5, 281, 273, 287, 291, 396, 428, 199, 311, 271, 268, 283, 444, 445,\n 373, 254, 339, 263, 466, 249, 282, 334, 296, 449, 347, 346, 264, 447, 454, 336, 296, 299, 338, 10, 151, 278, 439, 455, 292, 407, 415, 358, 371, 355,\n 340, 345, 372, 390, 249, 466, 346, 347, 280, 442, 443, 282, 19, 94, 370, 441, 442, 295, 248, 419, 197, 263, 255, 359, 440, 275, 274, 300, 383, 368,\n 351, 412, 465, 263, 467, 466, 301, 368, 389, 380, 374, 386, 395, 378, 379, 412, 351, 419, 436, 426, 322, 373, 390, 388, 2, 164, 393, 370, 462, 461,\n 164, 0, 267, 302, 11, 12, 374, 373, 387, 268, 12, 13, 293, 300, 301, 446, 261, 340, 385, 384, 381, 330, 266, 425, 426, 423, 391, 429, 355, 437, 391,\n 327, 326, 440, 457, 438, 341, 382, 362, 459, 457, 461, 434, 430, 394, 414, 463, 362, 396, 369, 262, 354, 461, 457, 316, 403, 402, 315, 404, 403, 314,\n 405, 404, 313, 406, 405, 421, 418, 406, 366, 401, 361, 306, 408, 407, 291, 409, 408, 287, 410, 409, 432, 436, 410, 434, 416, 411, 264, 368, 383, 309,\n 438, 457, 352, 376, 401, 274, 275, 4, 421, 428, 262, 294, 327, 358, 433, 416, 367, 289, 455, 439, 462, 370, 326, 2, 326, 370, 305, 460, 455, 254,\n 449, 448, 255, 261, 446, 253, 450, 449, 252, 451, 450, 256, 452, 451, 341, 453, 452, 413, 464, 463, 441, 413, 414, 258, 442, 441, 257, 443, 442, 259,\n 444, 443, 260, 445, 444, 467, 342, 445, 459, 458, 250, 289, 392, 290, 290, 328, 460, 376, 433, 435, 250, 290, 392, 411, 416, 433, 341, 463, 464, 453,\n 464, 465, 357, 465, 412, 343, 412, 399, 360, 363, 440, 437, 399, 456, 420, 456, 363, 401, 435, 288, 372, 383, 353, 339, 255, 249, 448, 261, 255, 133,\n 243, 190, 133, 155, 112, 33, 246, 247, 33, 130, 25, 398, 384, 286, 362, 398, 414, 362, 463, 341, 263, 359, 467, 263, 249, 255, 466, 467, 260, 75, 60,\n 166, 238, 239, 79, 162, 127, 139, 72, 11, 37, 121, 232, 120, 73, 72, 39, 114, 128, 47, 233, 232, 128, 103, 104, 67, 152, 175, 148, 173, 157, 155,\n 119, 118, 101, 74, 73, 40, 107, 9, 108, 49, 48, 131, 32, 194, 211, 184, 74, 185, 191, 80, 183, 185, 40, 186, 119, 230, 118, 210, 202, 214, 84, 83, 17,\n 77, 76, 146, 161, 160, 30, 190, 56, 173, 182, 106, 194, 138, 135, 192, 129, 203, 98, 54, 21, 68, 5, 51, 4, 145, 144, 23, 90, 77, 91, 207, 205, 187, 83,\n 201, 18, 181, 91, 182, 180, 90, 181, 16, 85, 17, 205, 206, 36, 176, 148, 140, 165, 92, 39, 245, 193, 244, 27, 159, 28, 30, 247, 161, 174, 236, 196,\n 103, 54, 104, 55, 193, 8, 111, 117, 31, 221, 189, 55, 240, 98, 99, 142, 126, 100, 219, 166, 218, 112, 155, 26, 198, 209, 131, 169, 135, 150, 114, 47,\n 217, 224, 223, 53, 220, 45, 134, 32, 211, 140, 109, 67, 108, 146, 43, 91, 231, 230, 120, 113, 226, 247, 105, 63, 52, 241, 238, 242, 124, 46, 156, 95,\n 78, 96, 70, 46, 63, 116, 143, 227, 116, 123, 111, 1, 44, 19, 3, 236, 51, 207, 216, 205, 26, 154, 22, 165, 39, 167, 199, 200, 208, 101, 36, 100, 43,\n 57, 202, 242, 20, 99, 56, 28, 157, 124, 35, 113, 29, 160, 27, 211, 204, 210, 124, 113, 46, 106, 43, 204, 96, 62, 77, 227, 137, 116, 73, 41, 72, 36, 203,\n 142, 235, 64, 240, 48, 49, 64, 42, 41, 74, 214, 212, 207, 183, 42, 184, 210, 169, 211, 140, 170, 176, 104, 105, 69, 193, 122, 168, 50, 123, 187, 89, 96,\n 90, 66, 65, 107, 179, 89, 180, 119, 101, 120, 68, 63, 104, 234, 93, 227, 16, 15, 85, 209, 129, 49, 15, 14, 86, 107, 55, 9, 120, 100, 121, 153, 145, 22,\n 178, 88, 179, 197, 6, 196, 89, 88, 96, 135, 138, 136, 138, 215, 172, 218, 115, 219, 41, 42, 81, 5, 195, 51, 57, 43, 61, 208, 171, 199, 41, 81, 38,\n 224, 53, 225, 24, 144, 110, 105, 52, 66, 118, 229, 117, 227, 34, 234, 66, 107, 69, 10, 109, 151, 219, 48, 235, 183, 62, 191, 142, 129, 126, 116, 111,\n 143, 7, 163, 246, 118, 117, 50, 223, 222, 52, 94, 19, 141, 222, 221, 65, 196, 3, 197, 45, 220, 44, 156, 70, 139, 188, 122, 245, 139, 71, 162, 145,\n 153, 159, 149, 170, 150, 122, 188, 196, 206, 216, 92, 163, 144, 161, 164, 2, 167, 242, 141, 241, 0, 164, 37, 11, 72, 12, 144, 145, 160, 12, 38, 13, 70,\n 63, 71, 31, 226, 111, 157, 158, 154, 36, 101, 205, 203, 206, 165, 126, 209, 217, 98, 165, 97, 237, 220, 218, 237, 239, 241, 210, 214, 169, 140, 171, 32,\n 241, 125, 237, 179, 86, 178, 180, 85, 179, 181, 84, 180, 182, 83, 181, 194, 201, 182, 177, 137, 132, 184, 76, 183, 185, 61, 184, 186, 57, 185, 216, 212,\n 186, 192, 214, 187, 139, 34, 156, 218, 79, 237, 147, 123, 177, 45, 44, 4, 208, 201, 32, 98, 64, 129, 192, 213, 138, 235, 59, 219, 141, 242, 97, 97, 2,\n 141, 240, 75, 235, 229, 24, 228, 31, 25, 226, 230, 23, 229, 231, 22, 230, 232, 26, 231, 233, 112, 232, 244, 189, 243, 189, 221, 190, 222, 28, 221,\n 223, 27, 222, 224, 29, 223, 225, 30, 224, 113, 247, 225, 99, 60, 240, 213, 147, 215, 60, 20, 166, 192, 187, 213, 243, 112, 244, 244, 233, 245, 245,\n 128, 188, 188, 114, 174, 134, 131, 220, 174, 217, 236, 236, 198, 134, 215, 177, 58, 156, 143, 124, 25, 110, 7, 31, 228, 25, 264, 356, 368, 0, 11, 267,\n 451, 452, 349, 267, 302, 269, 350, 357, 277, 350, 452, 357, 299, 333, 297, 396, 175, 377, 381, 384, 382, 280, 347, 330, 269, 303, 270, 151, 9, 337,\n 344, 278, 360, 424, 418, 431, 270, 304, 409, 272, 310, 407, 322, 270, 410, 449, 450, 347, 432, 422, 434, 18, 313, 17, 291, 306, 375, 259, 387, 260,\n 424, 335, 418, 434, 364, 416, 391, 423, 327, 301, 251, 298, 275, 281, 4, 254, 373, 253, 375, 307, 321, 280, 425, 411, 200, 421, 18, 335, 321, 406,\n 321, 320, 405, 314, 315, 17, 423, 426, 266, 396, 377, 369, 270, 322, 269, 413, 417, 464, 385, 386, 258, 248, 456, 419, 298, 284, 333, 168, 417, 8,\n 448, 346, 261, 417, 413, 285, 326, 327, 328, 277, 355, 329, 309, 392, 438, 381, 382, 256, 279, 429, 360, 365, 364, 379, 355, 277, 437, 282, 443, 283,\n 281, 275, 363, 395, 431, 369, 299, 297, 337, 335, 273, 321, 348, 450, 349, 359, 446, 467, 283, 293, 282, 250, 458, 462, 300, 276, 383, 292, 308, 325,\n 283, 276, 293, 264, 372, 447, 346, 352, 340, 354, 274, 19, 363, 456, 281, 426, 436, 425, 380, 381, 252, 267, 269, 393, 421, 200, 428, 371, 266, 329,\n 432, 287, 422, 290, 250, 328, 385, 258, 384, 446, 265, 342, 386, 387, 257, 422, 424, 430, 445, 342, 276, 422, 273, 424, 306, 292, 307, 352, 366, 345,\n 268, 271, 302, 358, 423, 371, 327, 294, 460, 331, 279, 294, 303, 271, 304, 436, 432, 427, 304, 272, 408, 395, 394, 431, 378, 395, 400, 296, 334, 299,\n 6, 351, 168, 376, 352, 411, 307, 325, 320, 285, 295, 336, 320, 319, 404, 329, 330, 349, 334, 293, 333, 366, 323, 447, 316, 15, 315, 331, 358, 279,\n 317, 14, 316, 8, 285, 9, 277, 329, 350, 253, 374, 252, 319, 318, 403, 351, 6, 419, 324, 318, 325, 397, 367, 365, 288, 435, 397, 278, 344, 439, 310,\n 272, 311, 248, 195, 281, 375, 273, 291, 175, 396, 199, 312, 311, 268, 276, 283, 445, 390, 373, 339, 295, 282, 296, 448, 449, 346, 356, 264, 454, 337,\n 336, 299, 337, 338, 151, 294, 278, 455, 308, 292, 415, 429, 358, 355, 265, 340, 372, 388, 390, 466, 352, 346, 280, 295, 442, 282, 354, 19, 370, 285,\n 441, 295, 195, 248, 197, 457, 440, 274, 301, 300, 368, 417, 351, 465, 251, 301, 389, 385, 380, 386, 394, 395, 379, 399, 412, 419, 410, 436, 322, 387,\n 373, 388, 326, 2, 393, 354, 370, 461, 393, 164, 267, 268, 302, 12, 386, 374, 387, 312, 268, 13, 298, 293, 301, 265, 446, 340, 380, 385, 381, 280, 330,\n 425, 322, 426, 391, 420, 429, 437, 393, 391, 326, 344, 440, 438, 458, 459, 461, 364, 434, 394, 428, 396, 262, 274, 354, 457, 317, 316, 402, 316, 315,\n 403, 315, 314, 404, 314, 313, 405, 313, 421, 406, 323, 366, 361, 292, 306, 407, 306, 291, 408, 291, 287, 409, 287, 432, 410, 427, 434, 411, 372, 264,\n 383, 459, 309, 457, 366, 352, 401, 1, 274, 4, 418, 421, 262, 331, 294, 358, 435, 433, 367, 392, 289, 439, 328, 462, 326, 94, 2, 370, 289, 305, 455, 339,\n 254, 448, 359, 255, 446, 254, 253, 449, 253, 252, 450, 252, 256, 451, 256, 341, 452, 414, 413, 463, 286, 441, 414, 286, 258, 441, 258, 257, 442, 257,\n 259, 443, 259, 260, 444, 260, 467, 445, 309, 459, 250, 305, 289, 290, 305, 290, 460, 401, 376, 435, 309, 250, 392, 376, 411, 433, 453, 341, 464, 357,\n 453, 465, 343, 357, 412, 437, 343, 399, 344, 360, 440, 420, 437, 456, 360, 420, 363, 361, 401, 288, 265, 372, 353, 390, 339, 249, 339, 448, 255];\n\nexport const TRI68 = [0, 1, 36, 0, 36, 17, 1, 2, 41, 1, 41, 36, 2, 3, 31, 2, 31, 41, 3, 4, 48, 3, 48, 31, 4, 5, 48, 5, 6, 48, 6, 7, 59, 6, 59, 48, 7, 8, 58, 7, 58, 59,\n 8, 9, 56, 8, 56, 57, 8, 57, 58, 9, 10, 55, 9, 55, 56, 10, 11, 54, 10, 54, 55, 11, 12, 54, 12, 13, 54, 13, 14, 35, 13, 35, 54, 14, 15, 46, 14, 46, 35, 15, 16,\n 45, 15, 45, 46, 16, 26, 45, 17, 36, 18, 18, 37, 19, 18, 36, 37, 19, 38, 20, 19, 37, 38, 20, 39, 21, 20, 38, 39, 21, 39, 27, 22, 42, 23, 22, 27, 42, 23, 43, 24,\n 23, 42, 43, 24, 44, 25, 24, 43, 44, 25, 45, 26, 25, 44, 45, 27, 39, 28, 27, 28, 42, 28, 39, 29, 28, 29, 42, 29, 31, 30, 29, 30, 35, 29, 40, 31, 29, 35, 47, 29,\n 39, 40, 29, 47, 42, 30, 31, 32, 30, 32, 33, 30, 33, 34, 30, 34, 35, 31, 50, 32, 31, 40, 41, 31, 48, 49, 31, 49, 50, 32, 51, 33, 32, 50, 51, 33, 51, 34, 34, 52,\n 35, 34, 51, 52, 35, 46, 47, 35, 52, 53, 35, 53, 54, 36, 41, 37, 37, 40, 38, 37, 41, 40, 38, 40, 39, 42, 47, 43, 43, 47, 44, 44, 46, 45, 44, 47, 46, 48, 60, 49,\n 48, 59, 60, 49, 61, 50, 49, 60, 61, 50, 62, 51, 50, 61, 62, 51, 62, 52, 52, 63, 53, 52, 62, 63, 53, 64, 54, 53, 63, 64, 54, 64, 55, 55, 65, 56, 55, 64, 65, 56,\n 66, 57, 56, 65, 66, 57, 66, 58, 58, 67, 59, 58, 66, 67, 59, 67, 60, 60, 67, 61, 61, 66, 62, 61, 67, 66, 62, 66, 63, 63, 65, 64, 63, 66, 65, 21, 27, 22];\n\nexport const TRI33 = [\n /* eyes */ 0, 8, 7, 7, 8, 1, 2, 10, 9, 9, 10, 3,\n /* brows */ 17, 0, 18, 18, 0, 7, 18, 7, 19, 19, 7, 1, 19, 1, 11, 19, 11, 20, 21, 3, 22, 21, 9, 3, 20, 9, 21, 20, 2, 9, 20, 11, 2,\n /* 4head */ 23, 17, 18, 25, 21, 22, 24, 19, 20, 24, 18, 19, 24, 20, 21, 24, 23, 18, 24, 21, 25,\n /* nose */ 11, 12, 4, 11, 4, 13, 1, 12, 11, 11, 13, 2, 12, 14, 4, 4, 14, 13,\n /* up-lip */ 14, 5, 15, 14, 15, 6, 12, 5, 14, 14, 6, 13,\n /* cheeks */ 8, 12, 1, 2, 13, 10, 8, 26, 12, 10, 13, 27, 26, 5, 12, 13, 6, 27, 0, 26, 8, 10, 27, 3,\n /* chin */ 5, 32, 16, 16, 32, 6, 5, 30, 32, 6, 32, 31,\n /* cont */ 26, 30, 5, 27, 6, 31, 0, 28, 26, 3, 27, 29, 17, 28, 0, 3, 29, 22, 23, 28, 17, 22, 29, 25, 28, 30, 26, 27, 31, 29,\n];\n\nexport const TRI7 = [0, 4, 1, 2, 4, 3, 4, 5, 6];\n\nexport const VTX68 = [\n /* cont */ 127, 234, 132, 58, 172, 150, 149, 148, 152, 377, 378, 379, 397, 288, 361, 454, 356,\n /* brows */ 70, 63, 105, 66, 107, 336, 296, 334, 293, 300,\n /* nose */ 168, 6, 195, 4, 98, 97, 2, 326, 327,\n /* eyes */ 33, 160, 158, 133, 153, 144, 362, 385, 387, 263, 373, 380,\n /* lip */ 57, 40, 37, 0, 267, 270, 287, 321, 314, 17, 84, 91,\n /* mouth */ 78, 81, 13, 311, 308, 402, 14, 178,\n];\n\nexport const VTX33 = [33, 133, 362, 263, 1, 62, 308, 159, 145, 386, 374, 6, 102, 331, 2, 13, 14, 70, 105, 107, 336, 334, 300, 54, 10, 284, 50, 280, 234, 454, 58, 288, 152];\n\nexport const VTX7 = [33, 133, 362, 263, 1, 78, 308];\n\nexport const UV68 = VTX68.map((x) => UV468[x]);\n\nexport const UV33 = VTX33.map((x) => UV468[x]);\n\nexport const UV7 = VTX7.map((x) => UV468[x]);\n", "/* eslint-disable class-methods-use-this */\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as bounding from './box';\nimport * as util from './util';\nimport * as coords from './coords';\n\nconst LANDMARKS_COUNT = 468;\nconst MESH_MOUTH_INDEX = 13;\nconst MESH_KEYPOINTS_LINE_OF_SYMMETRY_INDICES = [MESH_MOUTH_INDEX, coords.MESH_ANNOTATIONS['midwayBetweenEyes'][0]];\nconst BLAZEFACE_MOUTH_INDEX = 3;\nconst BLAZEFACE_NOSE_INDEX = 2;\nconst BLAZEFACE_KEYPOINTS_LINE_OF_SYMMETRY_INDICES = [BLAZEFACE_MOUTH_INDEX, BLAZEFACE_NOSE_INDEX];\nconst LEFT_EYE_OUTLINE = coords.MESH_ANNOTATIONS['leftEyeLower0'];\nconst LEFT_EYE_BOUNDS = [LEFT_EYE_OUTLINE[0], LEFT_EYE_OUTLINE[LEFT_EYE_OUTLINE.length - 1]];\nconst RIGHT_EYE_OUTLINE = coords.MESH_ANNOTATIONS['rightEyeLower0'];\nconst RIGHT_EYE_BOUNDS = [RIGHT_EYE_OUTLINE[0], RIGHT_EYE_OUTLINE[RIGHT_EYE_OUTLINE.length - 1]];\nconst IRIS_UPPER_CENTER_INDEX = 3;\nconst IRIS_LOWER_CENTER_INDEX = 4;\nconst IRIS_IRIS_INDEX = 71;\nconst IRIS_NUM_COORDINATES = 76;\n\n// Replace the raw coordinates returned by facemesh with refined iris model coordinates. Update the z coordinate to be an average of the original and the new. This produces the best visual effect.\nfunction replaceRawCoordinates(rawCoords, newCoords, prefix, keys = null) {\n for (let i = 0; i < coords.MESH_TO_IRIS_INDICES_MAP.length; i++) {\n const { key, indices } = coords.MESH_TO_IRIS_INDICES_MAP[i];\n const originalIndices = coords.MESH_ANNOTATIONS[`${prefix}${key}`];\n // @ts-ignore\n if (!keys || keys.includes(key)) {\n for (let j = 0; j < indices.length; j++) {\n const index = indices[j];\n rawCoords[originalIndices[j]] = [\n newCoords[index][0], newCoords[index][1],\n (newCoords[index][2] + rawCoords[originalIndices[j]][2]) / 2,\n ];\n }\n }\n }\n}\n// The Pipeline coordinates between the bounding box and skeleton models.\nexport class Pipeline {\n storedBoxes: any;\n runsWithoutFaceDetector: number;\n boundingBoxDetector: any;\n meshDetector: any;\n irisModel: any;\n meshWidth: number;\n meshHeight: number;\n irisSize: number;\n irisEnlarge: number;\n skipped: number;\n detectedFaces: number;\n\n constructor(boundingBoxDetector, meshDetector, irisModel, config) {\n // An array of facial bounding boxes.\n this.storedBoxes = [];\n this.runsWithoutFaceDetector = 0;\n this.boundingBoxDetector = boundingBoxDetector;\n this.meshDetector = meshDetector;\n this.irisModel = irisModel;\n this.meshWidth = config.face.mesh.inputSize;\n this.meshHeight = config.face.mesh.inputSize;\n this.irisSize = config.face.iris.inputSize;\n this.irisEnlarge = 2.3;\n this.skipped = 0;\n this.detectedFaces = 0;\n }\n\n transformRawCoords(rawCoords, box, angle, rotationMatrix) {\n const boxSize = bounding.getBoxSize({ startPoint: box.startPoint, endPoint: box.endPoint });\n const scaleFactor = [boxSize[0] / this.meshWidth, boxSize[1] / this.meshHeight];\n const coordsScaled = rawCoords.map((coord) => ([\n scaleFactor[0] * (coord[0] - this.meshWidth / 2),\n scaleFactor[1] * (coord[1] - this.meshHeight / 2), coord[2],\n ]));\n const coordsRotationMatrix = (angle !== 0) ? util.buildRotationMatrix(angle, [0, 0]) : util.IDENTITY_MATRIX;\n const coordsRotated = (angle !== 0) ? coordsScaled.map((coord) => ([...util.rotatePoint(coord, coordsRotationMatrix), coord[2]])) : coordsScaled;\n const inverseRotationMatrix = (angle !== 0) ? util.invertTransformMatrix(rotationMatrix) : util.IDENTITY_MATRIX;\n const boxCenter = [...bounding.getBoxCenter({ startPoint: box.startPoint, endPoint: box.endPoint }), 1];\n return coordsRotated.map((coord) => ([\n coord[0] + util.dot(boxCenter, inverseRotationMatrix[0]),\n coord[1] + util.dot(boxCenter, inverseRotationMatrix[1]),\n coord[2],\n ]));\n }\n\n getLeftToRightEyeDepthDifference(rawCoords) {\n const leftEyeZ = rawCoords[LEFT_EYE_BOUNDS[0]][2];\n const rightEyeZ = rawCoords[RIGHT_EYE_BOUNDS[0]][2];\n return leftEyeZ - rightEyeZ;\n }\n\n // Returns a box describing a cropped region around the eye fit for passing to the iris model.\n getEyeBox(rawCoords, face, eyeInnerCornerIndex, eyeOuterCornerIndex, flip = false) {\n const box = bounding.squarifyBox(bounding.enlargeBox(this.calculateLandmarksBoundingBox([rawCoords[eyeInnerCornerIndex], rawCoords[eyeOuterCornerIndex]]), this.irisEnlarge));\n const boxSize = bounding.getBoxSize(box);\n let crop = tf.image.cropAndResize(face, [[\n box.startPoint[1] / this.meshHeight,\n box.startPoint[0] / this.meshWidth, box.endPoint[1] / this.meshHeight,\n box.endPoint[0] / this.meshWidth,\n ]], [0], [this.irisSize, this.irisSize]);\n if (flip) {\n crop = tf.image.flipLeftRight(crop);\n }\n return { box, boxSize, crop };\n }\n\n // Given a cropped image of an eye, returns the coordinates of the contours surrounding the eye and the iris.\n getEyeCoords(eyeData, eyeBox, eyeBoxSize, flip = false) {\n const eyeRawCoords: Array = [];\n for (let i = 0; i < IRIS_NUM_COORDINATES; i++) {\n const x = eyeData[i * 3];\n const y = eyeData[i * 3 + 1];\n const z = eyeData[i * 3 + 2];\n eyeRawCoords.push([\n (flip ? (1 - (x / this.irisSize)) : (x / this.irisSize)) * eyeBoxSize[0] + eyeBox.startPoint[0],\n (y / this.irisSize) * eyeBoxSize[1] + eyeBox.startPoint[1], z,\n ]);\n }\n return { rawCoords: eyeRawCoords, iris: eyeRawCoords.slice(IRIS_IRIS_INDEX) };\n }\n\n // The z-coordinates returned for the iris are unreliable, so we take the z values from the surrounding keypoints.\n getAdjustedIrisCoords(rawCoords, irisCoords, direction) {\n const upperCenterZ = rawCoords[coords.MESH_ANNOTATIONS[`${direction}EyeUpper0`][IRIS_UPPER_CENTER_INDEX]][2];\n const lowerCenterZ = rawCoords[coords.MESH_ANNOTATIONS[`${direction}EyeLower0`][IRIS_LOWER_CENTER_INDEX]][2];\n const averageZ = (upperCenterZ + lowerCenterZ) / 2;\n // Iris indices: 0: center | 1: right | 2: above | 3: left | 4: below\n return irisCoords.map((coord, i) => {\n let z = averageZ;\n if (i === 2) {\n z = upperCenterZ;\n } else if (i === 4) {\n z = lowerCenterZ;\n }\n return [coord[0], coord[1], z];\n });\n }\n\n async predict(input, config) {\n let useFreshBox = false;\n // run new detector every skipFrames unless we only want box to start with\n let detector;\n if ((this.skipped === 0) || (this.skipped > config.face.detector.skipFrames) || !config.face.mesh.enabled || !config.videoOptimized) {\n detector = await this.boundingBoxDetector.getBoundingBoxes(input);\n this.skipped = 0;\n }\n if (config.videoOptimized) this.skipped++;\n\n // if detector result count doesn't match current working set, use it to reset current working set\n if (detector && detector.boxes && (!config.face.mesh.enabled || (detector.boxes.length !== this.detectedFaces) && (this.detectedFaces !== config.face.detector.maxFaces))) {\n this.storedBoxes = [];\n this.detectedFaces = 0;\n for (const possible of detector.boxes) {\n this.storedBoxes.push({ startPoint: possible.box.startPoint.dataSync(), endPoint: possible.box.endPoint.dataSync(), landmarks: possible.landmarks, confidence: possible.confidence });\n }\n if (this.storedBoxes.length > 0) useFreshBox = true;\n }\n\n if (useFreshBox) {\n if (!detector || !detector.boxes || (detector.boxes.length === 0)) {\n this.storedBoxes = [];\n this.detectedFaces = 0;\n return null;\n }\n for (let i = 0; i < this.storedBoxes.length; i++) {\n const scaledBox = bounding.scaleBoxCoordinates({ startPoint: this.storedBoxes[i].startPoint, endPoint: this.storedBoxes[i].endPoint }, detector.scaleFactor);\n const enlargedBox = bounding.enlargeBox(scaledBox);\n const squarifiedBox = bounding.squarifyBox(enlargedBox);\n const landmarks = this.storedBoxes[i].landmarks.arraySync();\n const confidence = this.storedBoxes[i].confidence;\n this.storedBoxes[i] = { ...squarifiedBox, confidence, landmarks };\n }\n this.runsWithoutFaceDetector = 0;\n }\n if (detector && detector.boxes) {\n detector.boxes.forEach((prediction) => {\n prediction.box.startPoint.dispose();\n prediction.box.endPoint.dispose();\n prediction.landmarks.dispose();\n });\n }\n\n // log('face', `skipped: ${this.skipped} max: ${config.face.detector.maxFaces} detected: ${this.detectedFaces} stored: ${this.storedBoxes.length} new: ${detector?.boxes?.length}`);\n let results = tf.tidy(() => this.storedBoxes.map((box, i) => {\n // The facial bounding box landmarks could come either from blazeface (if we are using a fresh box), or from the mesh model (if we are reusing an old box).\n let face;\n let angle = 0;\n let rotationMatrix;\n if (config.face.detector.rotation) {\n const [indexOfMouth, indexOfForehead] = (box.landmarks.length >= LANDMARKS_COUNT) ? MESH_KEYPOINTS_LINE_OF_SYMMETRY_INDICES : BLAZEFACE_KEYPOINTS_LINE_OF_SYMMETRY_INDICES;\n angle = util.computeRotation(box.landmarks[indexOfMouth], box.landmarks[indexOfForehead]);\n const faceCenter = bounding.getBoxCenter({ startPoint: box.startPoint, endPoint: box.endPoint });\n const faceCenterNormalized = [faceCenter[0] / input.shape[2], faceCenter[1] / input.shape[1]];\n const rotatedImage = tf.image.rotateWithOffset(input, angle, 0, faceCenterNormalized);\n rotationMatrix = util.buildRotationMatrix(-angle, faceCenter);\n face = bounding.cutBoxFromImageAndResize({ startPoint: box.startPoint, endPoint: box.endPoint }, rotatedImage, [this.meshHeight, this.meshWidth]).div(255);\n } else {\n rotationMatrix = util.IDENTITY_MATRIX;\n const cloned = input.clone();\n face = bounding.cutBoxFromImageAndResize({ startPoint: box.startPoint, endPoint: box.endPoint }, cloned, [this.meshHeight, this.meshWidth]).div(255);\n }\n\n // if we're not going to produce mesh, don't spend time with further processing\n if (!config.face.mesh.enabled) {\n const prediction = {\n coords: null,\n box,\n faceConfidence: null,\n confidence: box.confidence,\n image: face,\n };\n return prediction;\n }\n\n const [, confidence, contourCoords] = this.meshDetector.predict(face); // The first returned tensor represents facial contours, which are included in the coordinates.\n const faceConfidence = confidence.dataSync()[0];\n if (faceConfidence < config.face.detector.minConfidence) return null; // if below confidence just exit\n const coordsReshaped = tf.reshape(contourCoords, [-1, 3]);\n let rawCoords = coordsReshaped.arraySync();\n\n if (config.face.iris.enabled) {\n const { box: leftEyeBox, boxSize: leftEyeBoxSize, crop: leftEyeCrop } = this.getEyeBox(rawCoords, face, LEFT_EYE_BOUNDS[0], LEFT_EYE_BOUNDS[1], true);\n const { box: rightEyeBox, boxSize: rightEyeBoxSize, crop: rightEyeCrop } = this.getEyeBox(rawCoords, face, RIGHT_EYE_BOUNDS[0], RIGHT_EYE_BOUNDS[1]);\n const eyePredictions = this.irisModel.predict(tf.concat([leftEyeCrop, rightEyeCrop]));\n const eyePredictionsData = eyePredictions.dataSync();\n const leftEyeData = eyePredictionsData.slice(0, IRIS_NUM_COORDINATES * 3);\n const { rawCoords: leftEyeRawCoords, iris: leftIrisRawCoords } = this.getEyeCoords(leftEyeData, leftEyeBox, leftEyeBoxSize, true);\n const rightEyeData = eyePredictionsData.slice(IRIS_NUM_COORDINATES * 3);\n const { rawCoords: rightEyeRawCoords, iris: rightIrisRawCoords } = this.getEyeCoords(rightEyeData, rightEyeBox, rightEyeBoxSize);\n const leftToRightEyeDepthDifference = this.getLeftToRightEyeDepthDifference(rawCoords);\n if (Math.abs(leftToRightEyeDepthDifference) < 30) { // User is looking straight ahead.\n replaceRawCoordinates(rawCoords, leftEyeRawCoords, 'left');\n replaceRawCoordinates(rawCoords, rightEyeRawCoords, 'right');\n // If the user is looking to the left or to the right, the iris coordinates tend to diverge too much from the mesh coordinates for them to be merged. So we only update a single contour line above and below the eye.\n } else if (leftToRightEyeDepthDifference < 1) { // User is looking towards the right.\n // @ts-ignore\n replaceRawCoordinates(rawCoords, leftEyeRawCoords, 'left', ['EyeUpper0', 'EyeLower0']);\n } else { // User is looking towards the left.\n // @ts-ignore\n replaceRawCoordinates(rawCoords, rightEyeRawCoords, 'right', ['EyeUpper0', 'EyeLower0']);\n }\n const adjustedLeftIrisCoords = this.getAdjustedIrisCoords(rawCoords, leftIrisRawCoords, 'left');\n const adjustedRightIrisCoords = this.getAdjustedIrisCoords(rawCoords, rightIrisRawCoords, 'right');\n rawCoords = rawCoords.concat(adjustedLeftIrisCoords).concat(adjustedRightIrisCoords);\n }\n\n const transformedCoordsData = this.transformRawCoords(rawCoords, box, angle, rotationMatrix);\n const landmarksBox = bounding.enlargeBox(this.calculateLandmarksBoundingBox(transformedCoordsData));\n const squarifiedLandmarksBox = bounding.squarifyBox(landmarksBox);\n const transformedCoords = tf.tensor2d(transformedCoordsData);\n const prediction = {\n coords: transformedCoords,\n box: landmarksBox,\n faceConfidence,\n confidence: box.confidence,\n image: face,\n rawCoords,\n };\n if (!config.face.mesh.returnRawData) delete prediction.rawCoords;\n this.storedBoxes[i] = { ...squarifiedLandmarksBox, landmarks: transformedCoords.arraySync(), confidence: box.confidence, faceConfidence };\n\n return prediction;\n }));\n results = results.filter((a) => a !== null);\n this.detectedFaces = results.length;\n return results;\n }\n\n calculateLandmarksBoundingBox(landmarks) {\n const xs = landmarks.map((d) => d[0]);\n const ys = landmarks.map((d) => d[1]);\n const startPoint = [Math.min(...xs), Math.min(...ys)];\n const endPoint = [Math.max(...xs), Math.max(...ys)];\n return { startPoint, endPoint, landmarks };\n }\n}\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as profile from '../profile';\n\nexport class FaceBoxes {\n enlarge: number;\n model: any;\n config: any;\n\n constructor(model, config) {\n this.enlarge = 1.1;\n this.model = model;\n this.config = config;\n }\n\n async estimateFaces(input, config) {\n if (config) this.config = config;\n const results: Array<{ confidence: number, box: any, boxRaw: any, image: any }> = [];\n const resizeT = tf.image.resizeBilinear(input, [this.config.face.detector.inputSize, this.config.face.detector.inputSize]);\n const castT = resizeT.toInt();\n let scores;\n let boxes;\n if (!config.profile) {\n const [scoresT, boxesT, numT] = await this.model.executeAsync(castT);\n scores = scoresT.dataSync();\n const squeezeT = boxesT.squeeze();\n boxes = squeezeT.arraySync();\n scoresT.dispose();\n boxesT.dispose();\n squeezeT.dispose();\n numT.dispose();\n } else {\n const profileData = await tf.profile(() => this.model.executeAsync(castT));\n scores = profileData.result[0].dataSync();\n const squeezeT = profileData.result[1].squeeze();\n boxes = squeezeT.arraySync();\n profileData.result.forEach((t) => t.dispose());\n profile.run('faceboxes', profileData);\n }\n castT.dispose();\n resizeT.dispose();\n for (const i in boxes) {\n if (scores[i] && scores[i] > this.config.face.detector.minConfidence) {\n const crop = [boxes[i][0] / this.enlarge, boxes[i][1] / this.enlarge, boxes[i][2] * this.enlarge, boxes[i][3] * this.enlarge];\n const boxRaw = [crop[1], crop[0], (crop[3]) - (crop[1]), (crop[2]) - (crop[0])];\n const box = [\n parseInt((boxRaw[0] * input.shape[2]).toString()),\n parseInt((boxRaw[1] * input.shape[1]).toString()),\n parseInt((boxRaw[2] * input.shape[2]).toString()),\n parseInt((boxRaw[3] * input.shape[1]).toString())];\n const resized = tf.image.cropAndResize(input, [crop], [0], [this.config.face.detector.inputSize, this.config.face.detector.inputSize]);\n const image = resized.div([255]);\n resized.dispose();\n results.push({ confidence: scores[i], box, boxRaw: this.config.face.mesh.returnRawData ? boxRaw : null, image });\n // add mesh, meshRaw, annotations,\n }\n }\n return results;\n }\n}\n\nexport async function load(config) {\n const model = await tf.loadGraphModel(config.face.detector.modelPath);\n log(`load model: ${config.face.detector.modelPath.match(/\\/(.*)\\./)[1]}`);\n const faceboxes = new FaceBoxes(model, config);\n if (config.face.mesh.enabled) log(`load model: ${config.face.mesh.modelPath.match(/\\/(.*)\\./)[1]}`);\n if (config.face.iris.enabled) log(`load model: ${config.face.iris.modelPath.match(/\\/(.*)\\./)[1]}`);\n return faceboxes;\n}\n", "import { log } from './log';\n\nexport const data = {};\n\nexport function run(name: string, raw: any) {\n if (!raw || !raw.kernels) return;\n const maxResults = 5;\n const time = raw.kernels\n .filter((a) => a.kernelTimeMs > 0)\n .reduce((a, b) => a += b.kernelTimeMs, 0);\n const slowest = raw.kernels\n .map((a, i) => { a.id = i; return a; })\n .filter((a) => a.kernelTimeMs > 0)\n .sort((a, b) => b.kernelTimeMs - a.kernelTimeMs);\n const largest = raw.kernels\n .map((a, i) => { a.id = i; return a; })\n .filter((a) => a.totalBytesSnapshot > 0)\n .sort((a, b) => b.totalBytesSnapshot - a.totalBytesSnapshot);\n if (slowest.length > maxResults) slowest.length = maxResults;\n if (largest.length > maxResults) largest.length = maxResults;\n const res = { newBytes: raw.newBytes, newTensors: raw.newTensors, peakBytes: raw.peakBytes, numKernelOps: raw.kernels.length, timeKernelOps: time, slowestKernelOps: slowest, largestKernelOps: largest };\n data[name] = res;\n log('Human profiler', name, res);\n}\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as profile from '../profile';\n\nlet model;\nlet last = { age: 0 };\nlet skipped = Number.MAX_SAFE_INTEGER;\n\nexport async function load(config) {\n if (!model) {\n model = await tf.loadGraphModel(config.face.age.modelPath);\n log(`load model: ${config.face.age.modelPath.match(/\\/(.*)\\./)[1]}`);\n }\n return model;\n}\n\nexport async function predict(image, config) {\n if (!model) return null;\n if ((skipped < config.face.age.skipFrames) && config.videoOptimized && last.age && (last.age > 0)) {\n skipped++;\n return last;\n }\n if (config.videoOptimized) skipped = 0;\n else skipped = Number.MAX_SAFE_INTEGER;\n return new Promise(async (resolve) => {\n /*\n const zoom = [0, 0]; // 0..1 meaning 0%..100%\n const box = [[\n (image.shape[1] * zoom[0]) / image.shape[1],\n (image.shape[2] * zoom[1]) / image.shape[2],\n (image.shape[1] - (image.shape[1] * zoom[0])) / image.shape[1],\n (image.shape[2] - (image.shape[2] * zoom[1])) / image.shape[2],\n ]];\n const resize = tf.image.cropAndResize(image, box, [0], [config.face.age.inputSize, config.face.age.inputSize]);\n */\n const resize = tf.image.resizeBilinear(image, [config.face.age.inputSize, config.face.age.inputSize], false);\n const enhance = tf.mul(resize, [255.0]);\n tf.dispose(resize);\n\n let ageT;\n const obj = { age: 0 };\n\n if (!config.profile) {\n if (config.face.age.enabled) ageT = await model.predict(enhance);\n } else {\n const profileAge = config.face.age.enabled ? await tf.profile(() => model.predict(enhance)) : {};\n ageT = profileAge.result.clone();\n profileAge.result.dispose();\n profile.run('age', profileAge);\n }\n enhance.dispose();\n\n if (ageT) {\n const data = ageT.dataSync();\n obj.age = Math.trunc(10 * data[0]) / 10;\n }\n ageT.dispose();\n\n last = obj;\n resolve(obj);\n });\n}\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as profile from '../profile';\n\nlet model;\nlet last = { gender: '' };\nlet skipped = Number.MAX_SAFE_INTEGER;\nlet alternative = false;\n\n// tuning values\nconst rgb = [0.2989, 0.5870, 0.1140]; // factors for red/green/blue colors when converting to grayscale\n\nexport async function load(config) {\n if (!model) {\n model = await tf.loadGraphModel(config.face.gender.modelPath);\n alternative = model.inputs[0].shape[3] === 1;\n log(`load model: ${config.face.gender.modelPath.match(/\\/(.*)\\./)[1]}`);\n }\n return model;\n}\n\nexport async function predict(image, config) {\n if (!model) return null;\n if ((skipped < config.face.gender.skipFrames) && config.videoOptimized && last.gender !== '') {\n skipped++;\n return last;\n }\n if (config.videoOptimized) skipped = 0;\n else skipped = Number.MAX_SAFE_INTEGER;\n return new Promise(async (resolve) => {\n const resize = tf.image.resizeBilinear(image, [config.face.gender.inputSize, config.face.gender.inputSize], false);\n let enhance;\n if (alternative) {\n enhance = tf.tidy(() => {\n const [red, green, blue] = tf.split(resize, 3, 3);\n const redNorm = tf.mul(red, rgb[0]);\n const greenNorm = tf.mul(green, rgb[1]);\n const blueNorm = tf.mul(blue, rgb[2]);\n const grayscale = tf.addN([redNorm, greenNorm, blueNorm]);\n return grayscale.sub(0.5).mul(2);\n });\n } else {\n enhance = tf.mul(resize, [255.0]);\n }\n tf.dispose(resize);\n\n let genderT;\n const obj = { gender: '', confidence: 0 };\n\n if (!config.profile) {\n if (config.face.gender.enabled) genderT = await model.predict(enhance);\n } else {\n const profileGender = config.face.gender.enabled ? await tf.profile(() => model.predict(enhance)) : {};\n genderT = profileGender.result.clone();\n profileGender.result.dispose();\n profile.run('gender', profileGender);\n }\n enhance.dispose();\n\n if (genderT) {\n const data = genderT.dataSync();\n if (alternative) {\n // returns two values 0..1, bigger one is prediction\n const confidence = Math.trunc(100 * Math.abs(data[0] - data[1])) / 100;\n if (confidence > config.face.gender.minConfidence) {\n obj.gender = data[0] > data[1] ? 'female' : 'male';\n obj.confidence = confidence;\n }\n } else {\n // returns one value 0..1, .5 is prediction threshold\n const confidence = Math.trunc(200 * Math.abs((data[0] - 0.5))) / 100;\n if (confidence > config.face.gender.minConfidence) {\n obj.gender = data[0] <= 0.5 ? 'female' : 'male';\n obj.confidence = Math.min(0.99, confidence);\n }\n }\n }\n genderT.dispose();\n\n last = obj;\n resolve(obj);\n });\n}\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as profile from '../profile';\n\nconst annotations = ['angry', 'disgust', 'fear', 'happy', 'sad', 'surprise', 'neutral'];\nlet model;\nlet last: Array<{ score: number, emotion: string }> = [];\nlet skipped = Number.MAX_SAFE_INTEGER;\n\n// tuning values\nconst rgb = [0.2989, 0.5870, 0.1140]; // factors for red/green/blue colors when converting to grayscale\nconst scale = 1; // score multiplication factor\n\nexport async function load(config) {\n if (!model) {\n model = await tf.loadGraphModel(config.face.emotion.modelPath);\n log(`load model: ${config.face.emotion.modelPath.match(/\\/(.*)\\./)[1]}`);\n }\n return model;\n}\n\nexport async function predict(image, config) {\n if (!model) return null;\n if ((skipped < config.face.emotion.skipFrames) && config.videoOptimized && (last.length > 0)) {\n skipped++;\n return last;\n }\n if (config.videoOptimized) skipped = 0;\n else skipped = Number.MAX_SAFE_INTEGER;\n return new Promise(async (resolve) => {\n /*\n const zoom = [0, 0]; // 0..1 meaning 0%..100%\n const box = [[\n (image.shape[1] * zoom[0]) / image.shape[1],\n (image.shape[2] * zoom[1]) / image.shape[2],\n (image.shape[1] - (image.shape[1] * zoom[0])) / image.shape[1],\n (image.shape[2] - (image.shape[2] * zoom[1])) / image.shape[2],\n ]];\n const resize = tf.image.cropAndResize(image, box, [0], [config.face.emotion.inputSize, config.face.emotion.inputSize]);\n */\n const resize = tf.image.resizeBilinear(image, [config.face.emotion.inputSize, config.face.emotion.inputSize], false);\n const [red, green, blue] = tf.split(resize, 3, 3);\n resize.dispose();\n // weighted rgb to grayscale: https://www.mathworks.com/help/matlab/ref/rgb2gray.html\n const redNorm = tf.mul(red, rgb[0]);\n const greenNorm = tf.mul(green, rgb[1]);\n const blueNorm = tf.mul(blue, rgb[2]);\n red.dispose();\n green.dispose();\n blue.dispose();\n const grayscale = tf.addN([redNorm, greenNorm, blueNorm]);\n redNorm.dispose();\n greenNorm.dispose();\n blueNorm.dispose();\n const normalize = tf.tidy(() => grayscale.sub(0.5).mul(2));\n grayscale.dispose();\n const obj: Array<{ score: number, emotion: string }> = [];\n if (config.face.emotion.enabled) {\n let data;\n if (!config.profile) {\n const emotionT = await model.predict(normalize);\n data = emotionT.dataSync();\n tf.dispose(emotionT);\n } else {\n const profileData = await tf.profile(() => model.predict(normalize));\n data = profileData.result.dataSync();\n profileData.result.dispose();\n profile.run('emotion', profileData);\n }\n for (let i = 0; i < data.length; i++) {\n if (scale * data[i] > config.face.emotion.minConfidence) obj.push({ score: Math.min(0.99, Math.trunc(100 * scale * data[i]) / 100), emotion: annotations[i] });\n }\n obj.sort((a, b) => b.score - a.score);\n }\n normalize.dispose();\n last = obj;\n resolve(obj);\n });\n}\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as profile from '../profile';\n\n// based on https://github.com/sirius-ai/MobileFaceNet_TF\n// model converted from https://github.com/sirius-ai/MobileFaceNet_TF/files/3551493/FaceMobileNet192_train_false.zip\n\nlet model;\n\nexport async function load(config) {\n if (!model) {\n model = await tf.loadGraphModel(config.face.embedding.modelPath);\n log(`load model: ${config.face.embedding.modelPath.match(/\\/(.*)\\./)[1]}`);\n }\n return model;\n}\n\nexport function simmilarity(embedding1, embedding2) {\n if (embedding1?.length !== embedding2?.length) return 0;\n // general minkowski distance\n // euclidean distance is limited case where order is 2\n const order = 2;\n const distance = 10.0 * ((embedding1.map((val, i) => (val - embedding2[i])).reduce((dist, diff) => dist + (diff ** order), 0) ** (1 / order)));\n return (Math.trunc(1000 * (1 - distance)) / 1000);\n}\n\nexport async function predict(image, config) {\n if (!model) return null;\n return new Promise(async (resolve) => {\n const resize = tf.image.resizeBilinear(image, [config.face.embedding.inputSize, config.face.embedding.inputSize], false);\n // const normalize = tf.tidy(() => resize.div(127.5).sub(0.5)); // this is -0.5...0.5 ???\n let data: Array<[]> = [];\n if (config.face.embedding.enabled) {\n if (!config.profile) {\n const embeddingT = await model.predict({ img_inputs: resize });\n data = [...embeddingT.dataSync()]; // convert object array to standard array\n tf.dispose(embeddingT);\n } else {\n const profileData = await tf.profile(() => model.predict({ img_inputs: resize }));\n data = [...profileData.result.dataSync()];\n profileData.result.dispose();\n profile.run('emotion', profileData);\n }\n }\n resize.dispose();\n // normalize.dispose();\n resolve(data);\n });\n}\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as modelBase from './modelBase';\nimport * as decodeMultiple from './decodeMultiple';\nimport * as decodePose from './decodePose';\nimport * as util from './util';\n\nasync function estimateMultiple(input, res, config) {\n return new Promise(async (resolve) => {\n const height = input.shape[1];\n const width = input.shape[2];\n const allTensorBuffers = await util.toTensorBuffers3D([res.heatmapScores, res.offsets, res.displacementFwd, res.displacementBwd]);\n const scoresBuffer = allTensorBuffers[0];\n const offsetsBuffer = allTensorBuffers[1];\n const displacementsFwdBuffer = allTensorBuffers[2];\n const displacementsBwdBuffer = allTensorBuffers[3];\n const poses = await decodeMultiple.decodeMultiplePoses(scoresBuffer, offsetsBuffer, displacementsFwdBuffer, displacementsBwdBuffer, config);\n const scaled = util.scaleAndFlipPoses(poses, [height, width], [config.body.inputSize, config.body.inputSize]);\n resolve(scaled);\n });\n}\n\nasync function estimateSingle(input, res, config) {\n return new Promise(async (resolve) => {\n const height = input.shape[1];\n const width = input.shape[2];\n const pose = await decodePose.decodeSinglePose(res.heatmapScores, res.offsets, config);\n const poses = [pose];\n const scaled = util.scaleAndFlipPoses(poses, [height, width], [config.body.inputSize, config.body.inputSize]);\n resolve(scaled);\n });\n}\n\nexport class PoseNet {\n baseModel: any;\n constructor(model) {\n this.baseModel = model;\n }\n\n async estimatePoses(input, config) {\n const resized = util.resizeTo(input, [config.body.inputSize, config.body.inputSize]);\n const res = this.baseModel.predict(resized, config);\n\n const poses = (config.body.maxDetections < 2) ? await estimateSingle(input, res, config) : await estimateMultiple(input, res, config);\n\n res.heatmapScores.dispose();\n res.offsets.dispose();\n res.displacementFwd.dispose();\n res.displacementBwd.dispose();\n resized.dispose();\n\n return poses;\n }\n\n dispose() {\n this.baseModel.dispose();\n }\n}\n\nexport async function load(config) {\n const model = await tf.loadGraphModel(config.body.modelPath);\n const mobilenet = new modelBase.BaseModel(model);\n log(`load model: ${config.body.modelPath.match(/\\/(.*)\\./)[1]}`);\n return new PoseNet(mobilenet);\n}\n", "import * as tf from '../../dist/tfjs.esm.js';\n\nconst imageNetMean = [-123.15, -115.90, -103.06];\n\nfunction nameOutputResultsMobileNet(results) {\n const [offsets, heatmap, displacementFwd, displacementBwd] = results;\n return { offsets, heatmap, displacementFwd, displacementBwd };\n}\n\nfunction nameOutputResultsResNet(results) {\n const [displacementFwd, displacementBwd, offsets, heatmap] = results;\n return { offsets, heatmap, displacementFwd, displacementBwd };\n}\n\nexport class BaseModel {\n model: any;\n constructor(model) {\n this.model = model;\n }\n\n predict(input, config) {\n return tf.tidy(() => {\n const asFloat = (config.body.modelType === 'ResNet') ? input.toFloat().add(imageNetMean) : input.toFloat().div(127.5).sub(1.0);\n const asBatch = asFloat.expandDims(0);\n const results = this.model.predict(asBatch);\n const results3d = results.map((y) => y.squeeze([0]));\n const namedResults = (config.body.modelType === 'ResNet') ? nameOutputResultsResNet(results3d) : nameOutputResultsMobileNet(results3d);\n return {\n heatmapScores: namedResults.heatmap.sigmoid(),\n offsets: namedResults.offsets,\n displacementFwd: namedResults.displacementFwd,\n displacementBwd: namedResults.displacementBwd,\n };\n });\n }\n\n dispose() {\n this.model.dispose();\n }\n}\n", "// algorithm based on Coursera Lecture from Algorithms, Part 1: https://www.coursera.org/learn/algorithms-part1/lecture/ZjoSM/heapsort\nfunction half(k) {\n return Math.floor(k / 2);\n}\nexport class MaxHeap {\n priorityQueue: any;\n numberOfElements: number;\n getElementValue: any;\n\n constructor(maxSize, getElementValue) {\n this.priorityQueue = new Array(maxSize);\n this.numberOfElements = -1;\n this.getElementValue = getElementValue;\n }\n\n enqueue(x) {\n this.priorityQueue[++this.numberOfElements] = x;\n this.swim(this.numberOfElements);\n }\n\n dequeue() {\n const max = this.priorityQueue[0];\n this.exchange(0, this.numberOfElements--);\n this.sink(0);\n this.priorityQueue[this.numberOfElements + 1] = null;\n return max;\n }\n\n empty() {\n return this.numberOfElements === -1;\n }\n\n size() {\n return this.numberOfElements + 1;\n }\n\n all() {\n return this.priorityQueue.slice(0, this.numberOfElements + 1);\n }\n\n max() {\n return this.priorityQueue[0];\n }\n\n swim(k) {\n while (k > 0 && this.less(half(k), k)) {\n this.exchange(k, half(k));\n k = half(k);\n }\n }\n\n sink(k) {\n while (2 * k <= this.numberOfElements) {\n let j = 2 * k;\n if (j < this.numberOfElements && this.less(j, j + 1)) j++;\n if (!this.less(k, j)) break;\n this.exchange(k, j);\n k = j;\n }\n }\n\n getValueAt(i) {\n return this.getElementValue(this.priorityQueue[i]);\n }\n\n less(i, j) {\n return this.getValueAt(i) < this.getValueAt(j);\n }\n\n exchange(i, j) {\n const t = this.priorityQueue[i];\n this.priorityQueue[i] = this.priorityQueue[j];\n this.priorityQueue[j] = t;\n }\n}\n", "import * as heapSort from './heapSort';\n\nfunction scoreIsMaximumInLocalWindow(keypointId, score, heatmapY, heatmapX, localMaximumRadius, scores) {\n const [height, width] = scores.shape;\n let localMaximum = true;\n const yStart = Math.max(heatmapY - localMaximumRadius, 0);\n const yEnd = Math.min(heatmapY + localMaximumRadius + 1, height);\n for (let yCurrent = yStart; yCurrent < yEnd; ++yCurrent) {\n const xStart = Math.max(heatmapX - localMaximumRadius, 0);\n const xEnd = Math.min(heatmapX + localMaximumRadius + 1, width);\n for (let xCurrent = xStart; xCurrent < xEnd; ++xCurrent) {\n if (scores.get(yCurrent, xCurrent, keypointId) > score) {\n localMaximum = false;\n break;\n }\n }\n if (!localMaximum) break;\n }\n return localMaximum;\n}\n\nexport function buildPartWithScoreQueue(scoreThreshold, localMaximumRadius, scores) {\n const [height, width, numKeypoints] = scores.shape;\n const queue = new heapSort.MaxHeap(height * width * numKeypoints, ({ score }) => score);\n for (let heatmapY = 0; heatmapY < height; ++heatmapY) {\n for (let heatmapX = 0; heatmapX < width; ++heatmapX) {\n for (let keypointId = 0; keypointId < numKeypoints; ++keypointId) {\n const score = scores.get(heatmapY, heatmapX, keypointId);\n // Only consider parts with score greater or equal to threshold as root candidates.\n if (score < scoreThreshold) continue;\n // Only consider keypoints whose score is maximum in a local window.\n if (scoreIsMaximumInLocalWindow(keypointId, score, heatmapY, heatmapX, localMaximumRadius, scores)) {\n queue.enqueue({ score, part: { heatmapY, heatmapX, id: keypointId } });\n }\n }\n }\n }\n return queue;\n}\n", "import * as keypoints from './keypoints';\nimport * as vectors from './vectors';\nimport * as decoders from './decoders';\n\nconst parentChildrenTuples = keypoints.poseChain.map(([parentJoinName, childJoinName]) => ([keypoints.partIds[parentJoinName], keypoints.partIds[childJoinName]]));\nconst parentToChildEdges = parentChildrenTuples.map(([, childJointId]) => childJointId);\nconst childToParentEdges = parentChildrenTuples.map(([parentJointId]) => parentJointId);\nfunction getDisplacement(edgeId, point, displacements) {\n const numEdges = displacements.shape[2] / 2;\n return {\n y: displacements.get(point.y, point.x, edgeId),\n x: displacements.get(point.y, point.x, numEdges + edgeId),\n };\n}\nfunction getStridedIndexNearPoint(point, outputStride, height, width) {\n return {\n y: vectors.clamp(Math.round(point.y / outputStride), 0, height - 1),\n x: vectors.clamp(Math.round(point.x / outputStride), 0, width - 1),\n };\n}\n\nfunction traverseToTargetKeypoint(edgeId, sourceKeypoint, targetKeypointId, scoresBuffer, offsets, outputStride, displacements, offsetRefineStep = 2) {\n const [height, width] = scoresBuffer.shape;\n // Nearest neighbor interpolation for the source->target displacements.\n const sourceKeypointIndices = getStridedIndexNearPoint(sourceKeypoint.position, outputStride, height, width);\n const displacement = getDisplacement(edgeId, sourceKeypointIndices, displacements);\n const displacedPoint = vectors.addVectors(sourceKeypoint.position, displacement);\n let targetKeypoint = displacedPoint;\n for (let i = 0; i < offsetRefineStep; i++) {\n const targetKeypointIndices = getStridedIndexNearPoint(targetKeypoint, outputStride, height, width);\n const offsetPoint = vectors.getOffsetPoint(targetKeypointIndices.y, targetKeypointIndices.x, targetKeypointId, offsets);\n targetKeypoint = vectors.addVectors({\n x: targetKeypointIndices.x * outputStride,\n y: targetKeypointIndices.y * outputStride,\n }, { x: offsetPoint.x, y: offsetPoint.y });\n }\n const targetKeyPointIndices = getStridedIndexNearPoint(targetKeypoint, outputStride, height, width);\n const score = scoresBuffer.get(targetKeyPointIndices.y, targetKeyPointIndices.x, targetKeypointId);\n return { position: targetKeypoint, part: keypoints.partNames[targetKeypointId], score };\n}\n\nexport function decodePose(root, scores, offsets, outputStride, displacementsFwd, displacementsBwd) {\n const numParts = scores.shape[2];\n const numEdges = parentToChildEdges.length;\n const instanceKeypoints = new Array(numParts);\n // Start a new detection instance at the position of the root.\n const { part: rootPart, score: rootScore } = root;\n const rootPoint = vectors.getImageCoords(rootPart, outputStride, offsets);\n instanceKeypoints[rootPart.id] = {\n score: rootScore,\n part: keypoints.partNames[rootPart.id],\n position: rootPoint,\n };\n // Decode the part positions upwards in the tree, following the backward displacements.\n for (let edge = numEdges - 1; edge >= 0; --edge) {\n const sourceKeypointId = parentToChildEdges[edge];\n const targetKeypointId = childToParentEdges[edge];\n if (instanceKeypoints[sourceKeypointId] && !instanceKeypoints[targetKeypointId]) {\n instanceKeypoints[targetKeypointId] = traverseToTargetKeypoint(edge, instanceKeypoints[sourceKeypointId], targetKeypointId, scores, offsets, outputStride, displacementsBwd);\n }\n }\n // Decode the part positions downwards in the tree, following the forward displacements.\n for (let edge = 0; edge < numEdges; ++edge) {\n const sourceKeypointId = childToParentEdges[edge];\n const targetKeypointId = parentToChildEdges[edge];\n if (instanceKeypoints[sourceKeypointId] && !instanceKeypoints[targetKeypointId]) {\n instanceKeypoints[targetKeypointId] = traverseToTargetKeypoint(edge, instanceKeypoints[sourceKeypointId], targetKeypointId, scores, offsets, outputStride, displacementsFwd);\n }\n }\n return instanceKeypoints;\n}\n\nexport async function decodeSinglePose(heatmapScores, offsets, config) {\n let totalScore = 0.0;\n const heatmapValues = decoders.argmax2d(heatmapScores);\n const allTensorBuffers = await Promise.all([heatmapScores.buffer(), offsets.buffer(), heatmapValues.buffer()]);\n const scoresBuffer = allTensorBuffers[0];\n const offsetsBuffer = allTensorBuffers[1];\n const heatmapValuesBuffer = allTensorBuffers[2];\n const offsetPoints = decoders.getOffsetPoints(heatmapValuesBuffer, config.body.outputStride, offsetsBuffer);\n const offsetPointsBuffer = await offsetPoints.buffer();\n const keypointConfidence = Array.from(decoders.getPointsConfidence(scoresBuffer, heatmapValuesBuffer));\n const instanceKeypoints = keypointConfidence.map((score, i) => {\n totalScore += score;\n return {\n position: {\n y: offsetPointsBuffer.get(i, 0),\n x: offsetPointsBuffer.get(i, 1),\n },\n part: keypoints.partNames[i],\n score,\n };\n });\n const filteredKeypoints = instanceKeypoints.filter((kpt) => kpt.score > config.body.scoreThreshold);\n heatmapValues.dispose();\n offsetPoints.dispose();\n return { keypoints: filteredKeypoints, score: totalScore / instanceKeypoints.length };\n}\n", "import * as kpt from './keypoints';\n\nexport function getOffsetPoint(y, x, keypoint, offsets) {\n return {\n y: offsets.get(y, x, keypoint),\n x: offsets.get(y, x, keypoint + kpt.NUM_KEYPOINTS),\n };\n}\n\nexport function getImageCoords(part, outputStride, offsets) {\n const { heatmapY, heatmapX, id: keypoint } = part;\n const { y, x } = getOffsetPoint(heatmapY, heatmapX, keypoint, offsets);\n return {\n x: part.heatmapX * outputStride + x,\n y: part.heatmapY * outputStride + y,\n };\n}\n\nexport function fillArray(element, size) {\n const result = new Array(size);\n for (let i = 0; i < size; i++) {\n result[i] = element;\n }\n return result;\n}\n\nexport function clamp(a, min, max) {\n if (a < min) return min;\n if (a > max) return max;\n return a;\n}\n\nexport function squaredDistance(y1, x1, y2, x2) {\n const dy = y2 - y1;\n const dx = x2 - x1;\n return dy * dy + dx * dx;\n}\n\nexport function addVectors(a, b) {\n return { x: a.x + b.x, y: a.y + b.y };\n}\n\nexport function clampVector(a, min, max) {\n return { y: clamp(a.y, min, max), x: clamp(a.x, min, max) };\n}\n", "import * as tf from '../../dist/tfjs.esm.js';\nimport * as kpt from './keypoints';\n\nexport function getPointsConfidence(heatmapScores, heatMapCoords) {\n const numKeypoints = heatMapCoords.shape[0];\n const result = new Float32Array(numKeypoints);\n for (let keypoint = 0; keypoint < numKeypoints; keypoint++) {\n const y = heatMapCoords.get(keypoint, 0);\n const x = heatMapCoords.get(keypoint, 1);\n result[keypoint] = heatmapScores.get(y, x, keypoint);\n }\n return result;\n}\n\nfunction getOffsetPoint(y, x, keypoint, offsetsBuffer) {\n return {\n y: offsetsBuffer.get(y, x, keypoint),\n x: offsetsBuffer.get(y, x, keypoint + kpt.NUM_KEYPOINTS),\n };\n}\n\nexport function getOffsetVectors(heatMapCoordsBuffer, offsetsBuffer) {\n const result: Array = [];\n for (let keypoint = 0; keypoint < kpt.NUM_KEYPOINTS; keypoint++) {\n const heatmapY = heatMapCoordsBuffer.get(keypoint, 0).valueOf();\n const heatmapX = heatMapCoordsBuffer.get(keypoint, 1).valueOf();\n const { x, y } = getOffsetPoint(heatmapY, heatmapX, keypoint, offsetsBuffer);\n result.push(y);\n result.push(x);\n }\n return tf.tensor2d(result, [kpt.NUM_KEYPOINTS, 2]);\n}\n\nexport function getOffsetPoints(heatMapCoordsBuffer, outputStride, offsetsBuffer) {\n return tf.tidy(() => heatMapCoordsBuffer.toTensor().mul(tf.scalar(outputStride, 'int32')).toFloat().add(getOffsetVectors(heatMapCoordsBuffer, offsetsBuffer)));\n}\n\nfunction mod(a, b) {\n return tf.tidy(() => {\n const floored = a.div(tf.scalar(b, 'int32'));\n return a.sub(floored.mul(tf.scalar(b, 'int32')));\n });\n}\n\nexport function argmax2d(inputs) {\n const [height, width, depth] = inputs.shape;\n return tf.tidy(() => {\n const reshaped = inputs.reshape([height * width, depth]);\n const coords = reshaped.argMax(0);\n const yCoords = coords.div(tf.scalar(width, 'int32')).expandDims(1);\n const xCoords = mod(coords, width).expandDims(1);\n return tf.concat([yCoords, xCoords], 1);\n });\n}\n", "import * as buildParts from './buildParts';\nimport * as decodePose from './decodePose';\nimport * as vectors from './vectors';\n\nconst kLocalMaximumRadius = 1;\n\nfunction withinNmsRadiusOfCorrespondingPoint(poses, squaredNmsRadius, { x, y }, keypointId) {\n return poses.some(({ keypoints }) => {\n const correspondingKeypoint = keypoints[keypointId].position;\n return vectors.squaredDistance(y, x, correspondingKeypoint.y, correspondingKeypoint.x) <= squaredNmsRadius;\n });\n}\n\nfunction getInstanceScore(existingPoses, squaredNmsRadius, instanceKeypoints) {\n const notOverlappedKeypointScores = instanceKeypoints.reduce((result, { position, score }, keypointId) => {\n if (!withinNmsRadiusOfCorrespondingPoint(existingPoses, squaredNmsRadius, position, keypointId)) result += score;\n return result;\n }, 0.0);\n return notOverlappedKeypointScores / instanceKeypoints.length;\n}\n\nexport function decodeMultiplePoses(scoresBuffer, offsetsBuffer, displacementsFwdBuffer, displacementsBwdBuffer, config) {\n const poses: Array<{ keypoints: any, score: number }> = [];\n const queue = buildParts.buildPartWithScoreQueue(config.body.scoreThreshold, kLocalMaximumRadius, scoresBuffer);\n const squaredNmsRadius = config.body.nmsRadius ^ 2;\n // Generate at most maxDetections object instances per image in decreasing root part score order.\n while (poses.length < config.body.maxDetections && !queue.empty()) {\n // The top element in the queue is the next root candidate.\n const root = queue.dequeue();\n // Part-based non-maximum suppression: We reject a root candidate if it is within a disk of `nmsRadius` pixels from the corresponding part of a previously detected instance.\n const rootImageCoords = vectors.getImageCoords(root.part, config.body.outputStride, offsetsBuffer);\n if (withinNmsRadiusOfCorrespondingPoint(poses, squaredNmsRadius, rootImageCoords, root.part.id)) continue;\n // Else start a new detection instance at the position of the root.\n const keypoints = decodePose.decodePose(root, scoresBuffer, offsetsBuffer, config.body.outputStride, displacementsFwdBuffer, displacementsBwdBuffer);\n const score = getInstanceScore(poses, squaredNmsRadius, keypoints);\n if (score > config.body.scoreThreshold) poses.push({ keypoints, score });\n }\n return poses;\n}\n", "import * as kpt from './keypoints';\n\nexport function eitherPointDoesntMeetConfidence(a, b, minConfidence) {\n return (a < minConfidence || b < minConfidence);\n}\n\nexport function getAdjacentKeyPoints(keypoints, minConfidence) {\n return kpt.connectedPartIndices.reduce((result, [leftJoint, rightJoint]) => {\n if (eitherPointDoesntMeetConfidence(keypoints[leftJoint].score, keypoints[rightJoint].score, minConfidence)) {\n return result;\n }\n result.push([keypoints[leftJoint], keypoints[rightJoint]]);\n return result;\n }, []);\n}\n\nconst { NEGATIVE_INFINITY, POSITIVE_INFINITY } = Number;\nexport function getBoundingBox(keypoints) {\n return keypoints.reduce(({ maxX, maxY, minX, minY }, { position: { x, y } }) => ({\n maxX: Math.max(maxX, x),\n maxY: Math.max(maxY, y),\n minX: Math.min(minX, x),\n minY: Math.min(minY, y),\n }), {\n maxX: NEGATIVE_INFINITY,\n maxY: NEGATIVE_INFINITY,\n minX: POSITIVE_INFINITY,\n minY: POSITIVE_INFINITY,\n });\n}\n\nexport function getBoundingBoxPoints(keypoints) {\n const { minX, minY, maxX, maxY } = getBoundingBox(keypoints);\n return [{ x: minX, y: minY }, { x: maxX, y: minY }, { x: maxX, y: maxY }, { x: minX, y: maxY }];\n}\n\nexport async function toTensorBuffers3D(tensors) {\n return Promise.all(tensors.map((tensor) => tensor.buffer()));\n}\n\nexport function scalePose(pose, scaleY, scaleX) {\n return {\n score: pose.score,\n keypoints: pose.keypoints.map(({ score, part, position }) => ({\n score,\n part,\n position: { x: position.x * scaleX, y: position.y * scaleY },\n })),\n };\n}\n\nexport function resizeTo(image, [targetH, targetW]) {\n const input = image.squeeze(0);\n const resized = input.resizeBilinear([targetH, targetW]);\n input.dispose();\n return resized;\n}\n\nexport function scaleAndFlipPoses(poses, [height, width], [inputResolutionHeight, inputResolutionWidth]) {\n const scaledPoses = poses.map((pose) => scalePose(pose, height / inputResolutionHeight, width / inputResolutionWidth));\n return scaledPoses;\n}\n", "// https://storage.googleapis.com/tfjs-models/demos/handpose/index.html\n\nimport { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as handdetector from './handdetector';\nimport * as handpipeline from './handpipeline';\nimport * as anchors from './anchors';\n\nconst MESH_ANNOTATIONS = {\n thumb: [1, 2, 3, 4],\n indexFinger: [5, 6, 7, 8],\n middleFinger: [9, 10, 11, 12],\n ringFinger: [13, 14, 15, 16],\n pinky: [17, 18, 19, 20],\n palmBase: [0],\n};\n\nexport class HandPose {\n handPipeline: any;\n\n constructor(handPipeline) {\n this.handPipeline = handPipeline;\n }\n\n static getAnnotations() {\n return MESH_ANNOTATIONS;\n }\n\n async estimateHands(input, config) {\n const predictions = await this.handPipeline.estimateHands(input, config);\n if (!predictions) return [];\n const hands: Array<{ confidence: number, box: any, landmarks: any, annotations: any }> = [];\n for (const prediction of predictions) {\n const annotations = {};\n if (prediction.landmarks) {\n for (const key of Object.keys(MESH_ANNOTATIONS)) {\n annotations[key] = MESH_ANNOTATIONS[key].map((index) => prediction.landmarks[index]);\n }\n }\n const box = prediction.box ? [\n Math.max(0, prediction.box.topLeft[0]),\n Math.max(0, prediction.box.topLeft[1]),\n Math.min(input.shape[2], prediction.box.bottomRight[0]) - prediction.box.topLeft[0],\n Math.min(input.shape[1], prediction.box.bottomRight[1]) - prediction.box.topLeft[1],\n ] : 0;\n hands.push({ confidence: prediction.confidence, box, landmarks: prediction.landmarks, annotations });\n }\n return hands;\n }\n}\n\nexport async function load(config) {\n const [handDetectorModel, handPoseModel] = await Promise.all([\n config.hand.enabled ? tf.loadGraphModel(config.hand.detector.modelPath, { fromTFHub: config.hand.detector.modelPath.includes('tfhub.dev') }) : null,\n config.hand.landmarks ? tf.loadGraphModel(config.hand.skeleton.modelPath, { fromTFHub: config.hand.skeleton.modelPath.includes('tfhub.dev') }) : null,\n ]);\n const handDetector = new handdetector.HandDetector(handDetectorModel, config.hand.inputSize, anchors.anchors);\n const handPipeline = new handpipeline.HandPipeline(handDetector, handPoseModel, config.hand.inputSize);\n const handPose = new HandPose(handPipeline);\n if (config.hand.enabled) log(`load model: ${config.hand.detector.modelPath.match(/\\/(.*)\\./)[1]}`);\n if (config.hand.landmarks) log(`load model: ${config.hand.skeleton.modelPath.match(/\\/(.*)\\./)[1]}`);\n return handPose;\n}\n", "import * as tf from '../../dist/tfjs.esm.js';\n\nexport function getBoxSize(box) {\n return [\n Math.abs(box.endPoint[0] - box.startPoint[0]),\n Math.abs(box.endPoint[1] - box.startPoint[1]),\n ];\n}\n\nexport function getBoxCenter(box) {\n return [\n box.startPoint[0] + (box.endPoint[0] - box.startPoint[0]) / 2,\n box.startPoint[1] + (box.endPoint[1] - box.startPoint[1]) / 2,\n ];\n}\n\nexport function cutBoxFromImageAndResize(box, image, cropSize) {\n const h = image.shape[1];\n const w = image.shape[2];\n const boxes = [[\n box.startPoint[1] / h,\n box.startPoint[0] / w,\n box.endPoint[1] / h,\n box.endPoint[0] / w,\n ]];\n return tf.image.cropAndResize(image, boxes, [0], cropSize);\n}\n\nexport function scaleBoxCoordinates(box, factor) {\n const startPoint = [box.startPoint[0] * factor[0], box.startPoint[1] * factor[1]];\n const endPoint = [box.endPoint[0] * factor[0], box.endPoint[1] * factor[1]];\n const palmLandmarks = box.palmLandmarks.map((coord) => {\n const scaledCoord = [coord[0] * factor[0], coord[1] * factor[1]];\n return scaledCoord;\n });\n return { startPoint, endPoint, palmLandmarks, confidence: box.confidence };\n}\n\nexport function enlargeBox(box, factor = 1.5) {\n const center = getBoxCenter(box);\n const size = getBoxSize(box);\n const newHalfSize = [factor * size[0] / 2, factor * size[1] / 2];\n const startPoint = [center[0] - newHalfSize[0], center[1] - newHalfSize[1]];\n const endPoint = [center[0] + newHalfSize[0], center[1] + newHalfSize[1]];\n return { startPoint, endPoint, palmLandmarks: box.palmLandmarks };\n}\n\nexport function squarifyBox(box) {\n const centers = getBoxCenter(box);\n const size = getBoxSize(box);\n const maxEdge = Math.max(...size);\n const halfSize = maxEdge / 2;\n const startPoint = [centers[0] - halfSize, centers[1] - halfSize];\n const endPoint = [centers[0] + halfSize, centers[1] + halfSize];\n return { startPoint, endPoint, palmLandmarks: box.palmLandmarks };\n}\n\nexport function shiftBox(box, shiftFactor) {\n const boxSize = [\n box.endPoint[0] - box.startPoint[0],\n box.endPoint[1] - box.startPoint[1],\n ];\n const shiftVector = [boxSize[0] * shiftFactor[0], boxSize[1] * shiftFactor[1]];\n const startPoint = [box.startPoint[0] + shiftVector[0], box.startPoint[1] + shiftVector[1]];\n const endPoint = [box.endPoint[0] + shiftVector[0], box.endPoint[1] + shiftVector[1]];\n return { startPoint, endPoint, palmLandmarks: box.palmLandmarks };\n}\n", "import * as tf from '../../dist/tfjs.esm.js';\nimport * as box from './box';\n\nexport class HandDetector {\n model: any;\n anchors: any;\n anchorsTensor: any;\n inputSizeTensor: any;\n doubleInputSizeTensor: any;\n\n constructor(model, inputSize, anchorsAnnotated) {\n this.model = model;\n this.anchors = anchorsAnnotated.map((anchor) => [anchor.x_center, anchor.y_center]);\n this.anchorsTensor = tf.tensor2d(this.anchors);\n this.inputSizeTensor = tf.tensor1d([inputSize, inputSize]);\n this.doubleInputSizeTensor = tf.tensor1d([inputSize * 2, inputSize * 2]);\n }\n\n normalizeBoxes(boxes) {\n return tf.tidy(() => {\n const boxOffsets = tf.slice(boxes, [0, 0], [-1, 2]);\n const boxSizes = tf.slice(boxes, [0, 2], [-1, 2]);\n const boxCenterPoints = tf.add(tf.div(boxOffsets, this.inputSizeTensor), this.anchorsTensor);\n const halfBoxSizes = tf.div(boxSizes, this.doubleInputSizeTensor);\n const startPoints = tf.mul(tf.sub(boxCenterPoints, halfBoxSizes), this.inputSizeTensor);\n const endPoints = tf.mul(tf.add(boxCenterPoints, halfBoxSizes), this.inputSizeTensor);\n return tf.concat2d([startPoints, endPoints], 1);\n });\n }\n\n normalizeLandmarks(rawPalmLandmarks, index) {\n return tf.tidy(() => {\n const landmarks = tf.add(tf.div(rawPalmLandmarks.reshape([-1, 7, 2]), this.inputSizeTensor), this.anchors[index]);\n return tf.mul(landmarks, this.inputSizeTensor);\n });\n }\n\n async getBoxes(input, config) {\n const batched = this.model.predict(input);\n const predictions = batched.squeeze();\n batched.dispose();\n const scoresT = tf.tidy(() => tf.sigmoid(tf.slice(predictions, [0, 0], [-1, 1])).squeeze());\n const scores = scoresT.dataSync();\n const rawBoxes = tf.slice(predictions, [0, 1], [-1, 4]);\n const boxes = this.normalizeBoxes(rawBoxes);\n rawBoxes.dispose();\n const filteredT = await tf.image.nonMaxSuppressionAsync(boxes, scores, config.hand.maxHands, config.hand.iouThreshold, config.hand.scoreThreshold);\n const filtered = filteredT.arraySync();\n\n scoresT.dispose();\n filteredT.dispose();\n const hands: Array<{ box: any, palmLandmarks: any, confidence: number }> = [];\n for (const index of filtered) {\n if (scores[index] >= config.hand.minConfidence) {\n const matchingBox = tf.slice(boxes, [index, 0], [1, -1]);\n const rawPalmLandmarks = tf.slice(predictions, [index, 5], [1, 14]);\n const palmLandmarks = tf.tidy(() => this.normalizeLandmarks(rawPalmLandmarks, index).reshape([-1, 2]));\n rawPalmLandmarks.dispose();\n hands.push({ box: matchingBox, palmLandmarks, confidence: scores[index] });\n }\n }\n predictions.dispose();\n boxes.dispose();\n return hands;\n }\n\n async estimateHandBounds(input, config) {\n const inputHeight = input.shape[1];\n const inputWidth = input.shape[2];\n const image = tf.tidy(() => input.resizeBilinear([config.hand.inputSize, config.hand.inputSize]).div(127.5).sub(1));\n const predictions = await this.getBoxes(image, config);\n image.dispose();\n const hands: Array<{}> = [];\n if (!predictions || predictions.length === 0) return hands;\n for (const prediction of predictions) {\n const boxes = prediction.box.dataSync();\n const startPoint = boxes.slice(0, 2);\n const endPoint = boxes.slice(2, 4);\n const palmLandmarks = prediction.palmLandmarks.arraySync();\n prediction.box.dispose();\n prediction.palmLandmarks.dispose();\n hands.push(box.scaleBoxCoordinates({ startPoint, endPoint, palmLandmarks, confidence: prediction.confidence }, [inputWidth / config.hand.inputSize, inputHeight / config.hand.inputSize]));\n }\n return hands;\n }\n}\n", "export function normalizeRadians(angle) {\n return angle - 2 * Math.PI * Math.floor((angle + Math.PI) / (2 * Math.PI));\n}\n\nexport function computeRotation(point1, point2) {\n const radians = Math.PI / 2 - Math.atan2(-(point2[1] - point1[1]), point2[0] - point1[0]);\n return normalizeRadians(radians);\n}\n\nexport const buildTranslationMatrix = (x, y) => [[1, 0, x], [0, 1, y], [0, 0, 1]];\n\nexport function dot(v1, v2) {\n let product = 0;\n for (let i = 0; i < v1.length; i++) {\n product += v1[i] * v2[i];\n }\n return product;\n}\n\nexport function getColumnFrom2DArr(arr, columnIndex) {\n const column: Array = [];\n for (let i = 0; i < arr.length; i++) {\n column.push(arr[i][columnIndex]);\n }\n return column;\n}\n\nexport function multiplyTransformMatrices(mat1, mat2) {\n const product: Array = [];\n const size = mat1.length;\n for (let row = 0; row < size; row++) {\n product.push([]);\n for (let col = 0; col < size; col++) {\n product[row].push(dot(mat1[row], getColumnFrom2DArr(mat2, col)));\n }\n }\n return product;\n}\n\nexport function buildRotationMatrix(rotation, center) {\n const cosA = Math.cos(rotation);\n const sinA = Math.sin(rotation);\n const rotationMatrix = [[cosA, -sinA, 0], [sinA, cosA, 0], [0, 0, 1]];\n const translationMatrix = buildTranslationMatrix(center[0], center[1]);\n const translationTimesRotation = multiplyTransformMatrices(translationMatrix, rotationMatrix);\n const negativeTranslationMatrix = buildTranslationMatrix(-center[0], -center[1]);\n return multiplyTransformMatrices(translationTimesRotation, negativeTranslationMatrix);\n}\n\nexport function invertTransformMatrix(matrix) {\n const rotationComponent = [[matrix[0][0], matrix[1][0]], [matrix[0][1], matrix[1][1]]];\n const translationComponent = [matrix[0][2], matrix[1][2]];\n const invertedTranslation = [\n -dot(rotationComponent[0], translationComponent),\n -dot(rotationComponent[1], translationComponent),\n ];\n return [\n rotationComponent[0].concat(invertedTranslation[0]),\n rotationComponent[1].concat(invertedTranslation[1]),\n [0, 0, 1],\n ];\n}\n\nexport function rotatePoint(homogeneousCoordinate, rotationMatrix) {\n return [\n dot(homogeneousCoordinate, rotationMatrix[0]),\n dot(homogeneousCoordinate, rotationMatrix[1]),\n ];\n}\n", "import * as tf from '../../dist/tfjs.esm.js';\nimport * as box from './box';\nimport * as util from './util';\n\n// const PALM_BOX_SHIFT_VECTOR = [0, -0.4];\nconst PALM_BOX_ENLARGE_FACTOR = 5; // default 3\n// const HAND_BOX_SHIFT_VECTOR = [0, -0.1]; // move detected hand box by x,y to ease landmark detection\nconst HAND_BOX_ENLARGE_FACTOR = 1.65; // default 1.65\nconst PALM_LANDMARK_IDS = [0, 5, 9, 13, 17, 1, 2];\nconst PALM_LANDMARKS_INDEX_OF_PALM_BASE = 0;\nconst PALM_LANDMARKS_INDEX_OF_MIDDLE_FINGER_BASE = 2;\n\nexport class HandPipeline {\n handDetector: any;\n landmarkDetector: any;\n inputSize: number;\n storedBoxes: any;\n skipped: number;\n detectedHands: number;\n\n constructor(handDetector, landmarkDetector, inputSize) {\n this.handDetector = handDetector;\n this.landmarkDetector = landmarkDetector;\n this.inputSize = inputSize;\n this.storedBoxes = [];\n this.skipped = 0;\n this.detectedHands = 0;\n }\n\n getBoxForPalmLandmarks(palmLandmarks, rotationMatrix) {\n const rotatedPalmLandmarks = palmLandmarks.map((coord) => util.rotatePoint([...coord, 1], rotationMatrix));\n const boxAroundPalm = this.calculateLandmarksBoundingBox(rotatedPalmLandmarks);\n // return box.enlargeBox(box.squarifyBox(box.shiftBox(boxAroundPalm, PALM_BOX_SHIFT_VECTOR)), PALM_BOX_ENLARGE_FACTOR);\n return box.enlargeBox(box.squarifyBox(boxAroundPalm), PALM_BOX_ENLARGE_FACTOR);\n }\n\n getBoxForHandLandmarks(landmarks) {\n const boundingBox = this.calculateLandmarksBoundingBox(landmarks);\n // const boxAroundHand = box.enlargeBox(box.squarifyBox(box.shiftBox(boundingBox, HAND_BOX_SHIFT_VECTOR)), HAND_BOX_ENLARGE_FACTOR);\n const boxAroundHand = box.enlargeBox(box.squarifyBox(boundingBox), HAND_BOX_ENLARGE_FACTOR);\n boxAroundHand.palmLandmarks = [];\n for (let i = 0; i < PALM_LANDMARK_IDS.length; i++) {\n boxAroundHand.palmLandmarks.push(landmarks[PALM_LANDMARK_IDS[i]].slice(0, 2));\n }\n return boxAroundHand;\n }\n\n transformRawCoords(rawCoords, box2, angle, rotationMatrix) {\n const boxSize = box.getBoxSize(box2);\n const scaleFactor = [boxSize[0] / this.inputSize, boxSize[1] / this.inputSize, (boxSize[0] + boxSize[1]) / this.inputSize / 2];\n const coordsScaled = rawCoords.map((coord) => [\n scaleFactor[0] * (coord[0] - this.inputSize / 2),\n scaleFactor[1] * (coord[1] - this.inputSize / 2),\n scaleFactor[2] * coord[2],\n ]);\n const coordsRotationMatrix = util.buildRotationMatrix(angle, [0, 0]);\n const coordsRotated = coordsScaled.map((coord) => {\n const rotated = util.rotatePoint(coord, coordsRotationMatrix);\n return [...rotated, coord[2]];\n });\n const inverseRotationMatrix = util.invertTransformMatrix(rotationMatrix);\n const boxCenter = [...box.getBoxCenter(box2), 1];\n const originalBoxCenter = [\n util.dot(boxCenter, inverseRotationMatrix[0]),\n util.dot(boxCenter, inverseRotationMatrix[1]),\n ];\n return coordsRotated.map((coord) => [\n coord[0] + originalBoxCenter[0],\n coord[1] + originalBoxCenter[1],\n coord[2],\n ]);\n }\n\n async estimateHands(image, config) {\n let useFreshBox = false;\n\n // run new detector every skipFrames unless we only want box to start with\n let boxes;\n if ((this.skipped === 0) || (this.skipped > config.hand.skipFrames) || !config.hand.landmarks || !config.videoOptimized) {\n boxes = await this.handDetector.estimateHandBounds(image, config);\n this.skipped = 0;\n }\n if (config.videoOptimized) this.skipped++;\n\n // if detector result count doesn't match current working set, use it to reset current working set\n if (boxes && (boxes.length > 0) && ((boxes.length !== this.detectedHands) && (this.detectedHands !== config.hand.maxHands) || !config.hand.landmarks)) {\n this.detectedHands = 0;\n this.storedBoxes = [...boxes];\n // for (const possible of boxes) this.storedBoxes.push(possible);\n if (this.storedBoxes.length > 0) useFreshBox = true;\n }\n const hands: Array<{}> = [];\n // log('hand', `skipped: ${this.skipped} max: ${config.hand.maxHands} detected: ${this.detectedHands} stored: ${this.storedBoxes.length} new: ${boxes?.length}`);\n\n // go through working set of boxes\n for (let i = 0; i < this.storedBoxes.length; i++) {\n const currentBox = this.storedBoxes[i];\n if (!currentBox) continue;\n if (config.hand.landmarks) {\n const angle = config.hand.rotation ? util.computeRotation(currentBox.palmLandmarks[PALM_LANDMARKS_INDEX_OF_PALM_BASE], currentBox.palmLandmarks[PALM_LANDMARKS_INDEX_OF_MIDDLE_FINGER_BASE]) : 0;\n const palmCenter = box.getBoxCenter(currentBox);\n const palmCenterNormalized = [palmCenter[0] / image.shape[2], palmCenter[1] / image.shape[1]];\n const rotatedImage = config.hand.rotation ? tf.image.rotateWithOffset(image, angle, 0, palmCenterNormalized) : image.clone();\n const rotationMatrix = util.buildRotationMatrix(-angle, palmCenter);\n const newBox = useFreshBox ? this.getBoxForPalmLandmarks(currentBox.palmLandmarks, rotationMatrix) : currentBox;\n const croppedInput = box.cutBoxFromImageAndResize(newBox, rotatedImage, [this.inputSize, this.inputSize]);\n const handImage = croppedInput.div(255);\n croppedInput.dispose();\n rotatedImage.dispose();\n const [confidenceT, keypoints] = await this.landmarkDetector.predict(handImage);\n handImage.dispose();\n const confidence = confidenceT.dataSync()[0];\n confidenceT.dispose();\n if (confidence >= config.hand.minConfidence) {\n const keypointsReshaped = tf.reshape(keypoints, [-1, 3]);\n const rawCoords = keypointsReshaped.arraySync();\n keypoints.dispose();\n keypointsReshaped.dispose();\n const coords = this.transformRawCoords(rawCoords, newBox, angle, rotationMatrix);\n const nextBoundingBox = this.getBoxForHandLandmarks(coords);\n this.storedBoxes[i] = nextBoundingBox;\n const result = {\n landmarks: coords,\n confidence,\n box: { topLeft: nextBoundingBox.startPoint, bottomRight: nextBoundingBox.endPoint },\n };\n hands.push(result);\n } else {\n this.storedBoxes[i] = null;\n }\n keypoints.dispose();\n } else {\n // const enlarged = box.enlargeBox(box.squarifyBox(box.shiftBox(currentBox, HAND_BOX_SHIFT_VECTOR)), HAND_BOX_ENLARGE_FACTOR);\n const enlarged = box.enlargeBox(box.squarifyBox(currentBox), HAND_BOX_ENLARGE_FACTOR);\n const result = {\n confidence: currentBox.confidence,\n box: { topLeft: enlarged.startPoint, bottomRight: enlarged.endPoint },\n };\n hands.push(result);\n }\n }\n this.storedBoxes = this.storedBoxes.filter((a) => a !== null);\n this.detectedHands = hands.length;\n return hands;\n }\n\n // eslint-disable-next-line class-methods-use-this\n calculateLandmarksBoundingBox(landmarks) {\n const xs = landmarks.map((d) => d[0]);\n const ys = landmarks.map((d) => d[1]);\n const startPoint = [Math.min(...xs), Math.min(...ys)];\n const endPoint = [Math.max(...xs), Math.max(...ys)];\n return { startPoint, endPoint };\n }\n}\n", "export const anchors = [\n {\n w: 1,\n h: 1,\n x_center: 0.015625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.015625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.046875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.046875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.078125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.078125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.109375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.109375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.140625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.140625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.171875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.171875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.203125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.203125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.234375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.234375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.265625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.265625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.296875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.296875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.328125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.328125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.359375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.359375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.390625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.390625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.421875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.421875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.453125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.453125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.484375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.484375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.515625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.515625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.546875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.546875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.578125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.578125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.609375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.609375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.640625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.640625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.671875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.671875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.703125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.703125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.734375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.734375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.765625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.765625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.796875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.796875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.828125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.828125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.859375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.859375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.890625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.890625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.921875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.921875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.953125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.953125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.984375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.984375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.015625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.015625,\n 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x_center: 0.9375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.9375,\n },\n];\n", "export const body = (res) => {\n if (!res) return [];\n const gestures: Array<{ body: number, gesture: string }> = [];\n for (let i = 0; i < res.length; i++) {\n // raising hands\n const leftWrist = res[i].keypoints.find((a) => (a.part === 'leftWrist'));\n const rightWrist = res[i].keypoints.find((a) => (a.part === 'rightWrist'));\n const nose = res[i].keypoints.find((a) => (a.part === 'nose'));\n if (nose && leftWrist && rightWrist && (leftWrist.position.y < nose.position.y) && (rightWrist.position.y < nose.position.y)) gestures.push({ body: i, gesture: 'i give up' });\n else if (nose && leftWrist && (leftWrist.position.y < nose.position.y)) gestures.push({ body: i, gesture: 'raise left hand' });\n else if (nose && rightWrist && (rightWrist.position.y < nose.position.y)) gestures.push({ body: i, gesture: 'raise right hand' });\n\n // leaning\n const leftShoulder = res[i].keypoints.find((a) => (a.part === 'leftShoulder'));\n const rightShoulder = res[i].keypoints.find((a) => (a.part === 'rightShoulder'));\n if (leftShoulder && rightShoulder) gestures.push({ body: i, gesture: `leaning ${(leftShoulder.position.y > rightShoulder.position.y) ? 'left' : 'right'}` });\n }\n return gestures;\n};\n\nexport const face = (res) => {\n if (!res) return [];\n const gestures: Array<{ face: number, gesture: string }> = [];\n for (let i = 0; i < res.length; i++) {\n if (res[i].mesh && res[i].mesh.length > 0) {\n const eyeFacing = res[i].mesh[35][2] - res[i].mesh[263][2];\n if (Math.abs(eyeFacing) < 10) gestures.push({ face: i, gesture: 'facing camera' });\n else gestures.push({ face: i, gesture: `facing ${eyeFacing < 0 ? 'right' : 'left'}` });\n const openLeft = Math.abs(res[i].mesh[374][1] - res[i].mesh[386][1]) / Math.abs(res[i].mesh[443][1] - res[i].mesh[450][1]); // center of eye inner lid y coord div center of wider eye border y coord\n if (openLeft < 0.2) gestures.push({ face: i, gesture: 'blink left eye' });\n const openRight = Math.abs(res[i].mesh[145][1] - res[i].mesh[159][1]) / Math.abs(res[i].mesh[223][1] - res[i].mesh[230][1]); // center of eye inner lid y coord div center of wider eye border y coord\n if (openRight < 0.2) gestures.push({ face: i, gesture: 'blink right eye' });\n const mouthOpen = Math.min(100, 500 * Math.abs(res[i].mesh[13][1] - res[i].mesh[14][1]) / Math.abs(res[i].mesh[10][1] - res[i].mesh[152][1]));\n if (mouthOpen > 10) gestures.push({ face: i, gesture: `mouth ${Math.trunc(mouthOpen)}% open` });\n const chinDepth = res[i].mesh[152][2];\n if (Math.abs(chinDepth) > 10) gestures.push({ face: i, gesture: `head ${chinDepth < 0 ? 'up' : 'down'}` });\n }\n }\n return gestures;\n};\n\nexport const iris = (res) => {\n if (!res) return [];\n const gestures: Array<{ iris: number, gesture: string }> = [];\n for (let i = 0; i < res.length; i++) {\n if (!res[i].annotations || !res[i].annotations.leftEyeIris || !res[i].annotations.rightEyeIris) continue;\n const sizeXLeft = res[i].annotations.leftEyeIris[3][0] - res[i].annotations.leftEyeIris[1][0];\n const sizeYLeft = res[i].annotations.leftEyeIris[4][1] - res[i].annotations.leftEyeIris[2][1];\n const areaLeft = Math.abs(sizeXLeft * sizeYLeft);\n\n const sizeXRight = res[i].annotations.rightEyeIris[3][0] - res[i].annotations.rightEyeIris[1][0];\n const sizeYRight = res[i].annotations.rightEyeIris[4][1] - res[i].annotations.rightEyeIris[2][1];\n const areaRight = Math.abs(sizeXRight * sizeYRight);\n\n const difference = Math.abs(areaLeft - areaRight) / Math.max(areaLeft, areaRight);\n if (difference < 0.25) gestures.push({ iris: i, gesture: 'looking at camera' });\n }\n return gestures;\n};\n\nexport const hand = (res) => {\n if (!res) return [];\n const gestures: Array<{ hand: number, gesture: string }> = [];\n for (let i = 0; i < res.length; i++) {\n const fingers: Array<{ name: string, position: number }> = [];\n for (const [finger, pos] of Object.entries(res[i]['annotations'])) {\n // @ts-ignore\n if (finger !== 'palmBase') fingers.push({ name: finger.toLowerCase(), position: pos[0] }); // get tip of each finger\n }\n if (fingers && fingers.length > 0) {\n const closest = fingers.reduce((best, a) => (best.position[2] < a.position[2] ? best : a));\n const highest = fingers.reduce((best, a) => (best.position[1] < a.position[1] ? best : a));\n gestures.push({ hand: i, gesture: `${closest.name} forward ${highest.name} up` });\n }\n }\n return gestures;\n};\n", "/*\nWebGLImageFilter - MIT Licensed\n2013, Dominic Szablewski - phoboslab.org\n\n*/\n\nfunction GLProgram(gl, vertexSource, fragmentSource) {\n const _collect = function (source, prefix, collection) {\n const r = new RegExp('\\\\b' + prefix + ' \\\\w+ (\\\\w+)', 'ig');\n source.replace(r, (match, name) => {\n collection[name] = 0;\n return match;\n });\n };\n\n const _compile = function (source, type) {\n const shader = gl.createShader(type);\n gl.shaderSource(shader, source);\n gl.compileShader(shader);\n if (!gl.getShaderParameter(shader, gl.COMPILE_STATUS)) {\n // @ts-ignore\n throw new Error('Filter: GL compile failed', gl.getShaderInfoLog(shader));\n }\n return shader;\n };\n\n this.uniform = {};\n this.attribute = {};\n const _vsh = _compile(vertexSource, gl.VERTEX_SHADER);\n const _fsh = _compile(fragmentSource, gl.FRAGMENT_SHADER);\n this.id = gl.createProgram();\n gl.attachShader(this.id, _vsh);\n gl.attachShader(this.id, _fsh);\n gl.linkProgram(this.id);\n\n if (!gl.getProgramParameter(this.id, gl.LINK_STATUS)) {\n // @ts-ignore\n throw new Error('Filter: GL link failed', gl.getProgramInfoLog(this.id));\n }\n\n gl.useProgram(this.id);\n // Collect attributes\n _collect(vertexSource, 'attribute', this.attribute);\n for (const a in this.attribute) this.attribute[a] = gl.getAttribLocation(this.id, a);\n // Collect uniforms\n _collect(vertexSource, 'uniform', this.uniform);\n _collect(fragmentSource, 'uniform', this.uniform);\n for (const u in this.uniform) this.uniform[u] = gl.getUniformLocation(this.id, u);\n}\n\n// export const GLImageFilter = function (params) {\nexport function GLImageFilter(params) {\n if (!params) params = { };\n let _drawCount = 0;\n let _sourceTexture = null;\n let _lastInChain = false;\n let _currentFramebufferIndex = -1;\n let _tempFramebuffers = [null, null];\n let _filterChain = [];\n let _width = -1;\n let _height = -1;\n let _vertexBuffer = null;\n let _currentProgram = null;\n const _filter = {};\n const _canvas = params.canvas || document.createElement('canvas');\n // key is the shader program source, value is the compiled program\n const _shaderProgramCache = { };\n const DRAW = { INTERMEDIATE: 1 };\n const gl = _canvas.getContext('webgl');\n if (!gl) throw new Error('Filter: getContext() failed');\n\n this.addFilter = function (name) {\n // eslint-disable-next-line prefer-rest-params\n const args = Array.prototype.slice.call(arguments, 1);\n const filter = _filter[name];\n _filterChain.push({ func: filter, args });\n };\n\n this.reset = function () {\n _filterChain = [];\n };\n\n const _resize = function (width, height) {\n // Same width/height? Nothing to do here\n if (width === _width && height === _height) { return; }\n _canvas.width = width;\n _width = width;\n _canvas.height = height;\n _height = height;\n // Create the context if we don't have it yet\n if (!_vertexBuffer) {\n // Create the vertex buffer for the two triangles [x, y, u, v] * 6\n const vertices = new Float32Array([\n -1, -1, 0, 1, 1, -1, 1, 1, -1, 1, 0, 0,\n -1, 1, 0, 0, 1, -1, 1, 1, 1, 1, 1, 0,\n ]);\n // eslint-disable-next-line no-unused-expressions\n (_vertexBuffer = gl.createBuffer(), gl.bindBuffer(gl.ARRAY_BUFFER, _vertexBuffer));\n gl.bufferData(gl.ARRAY_BUFFER, vertices, gl.STATIC_DRAW);\n gl.pixelStorei(gl.UNPACK_PREMULTIPLY_ALPHA_WEBGL, true);\n }\n gl.viewport(0, 0, _width, _height);\n // Delete old temp framebuffers\n _tempFramebuffers = [null, null];\n };\n\n const _createFramebufferTexture = function (width, height) {\n const fbo = gl.createFramebuffer();\n gl.bindFramebuffer(gl.FRAMEBUFFER, fbo);\n const renderbuffer = gl.createRenderbuffer();\n gl.bindRenderbuffer(gl.RENDERBUFFER, renderbuffer);\n const texture = gl.createTexture();\n gl.bindTexture(gl.TEXTURE_2D, texture);\n gl.texImage2D(gl.TEXTURE_2D, 0, gl.RGBA, width, height, 0, gl.RGBA, gl.UNSIGNED_BYTE, null);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MAG_FILTER, gl.LINEAR);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MIN_FILTER, gl.LINEAR);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_S, gl.CLAMP_TO_EDGE);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_T, gl.CLAMP_TO_EDGE);\n gl.framebufferTexture2D(gl.FRAMEBUFFER, gl.COLOR_ATTACHMENT0, gl.TEXTURE_2D, texture, 0);\n gl.bindTexture(gl.TEXTURE_2D, null);\n gl.bindFramebuffer(gl.FRAMEBUFFER, null);\n return { fbo, texture };\n };\n\n const _getTempFramebuffer = function (index) {\n // @ts-ignore\n _tempFramebuffers[index] = _tempFramebuffers[index] || _createFramebufferTexture(_width, _height);\n return _tempFramebuffers[index];\n };\n\n const _draw = function (flags = null) {\n let source = null;\n let target = null;\n let flipY = false;\n // Set up the source\n if (_drawCount === 0) {\n // First draw call - use the source texture\n source = _sourceTexture;\n } else {\n // All following draw calls use the temp buffer last drawn to\n // @ts-ignore\n source = _getTempFramebuffer(_currentFramebufferIndex)?.texture;\n }\n _drawCount++;\n // Set up the target\n if (_lastInChain && !(flags & DRAW.INTERMEDIATE)) {\n // Last filter in our chain - draw directly to the WebGL Canvas. We may\n // also have to flip the image vertically now\n target = null;\n flipY = _drawCount % 2 === 0;\n } else {\n // Intermediate draw call - get a temp buffer to draw to\n _currentFramebufferIndex = (_currentFramebufferIndex + 1) % 2;\n // @ts-ignore\n target = _getTempFramebuffer(_currentFramebufferIndex)?.fbo;\n }\n // Bind the source and target and draw the two triangles\n gl.bindTexture(gl.TEXTURE_2D, source);\n gl.bindFramebuffer(gl.FRAMEBUFFER, target);\n gl.uniform1f(_currentProgram.uniform.flipY, (flipY ? -1 : 1));\n gl.drawArrays(gl.TRIANGLES, 0, 6);\n };\n\n this.apply = function (image) {\n _resize(image.width, image.height);\n _drawCount = 0;\n // Create the texture for the input image if we haven't yet\n if (!_sourceTexture) _sourceTexture = gl.createTexture();\n gl.bindTexture(gl.TEXTURE_2D, _sourceTexture);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_S, gl.CLAMP_TO_EDGE);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_T, gl.CLAMP_TO_EDGE);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MIN_FILTER, gl.NEAREST);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MAG_FILTER, gl.NEAREST);\n gl.texImage2D(gl.TEXTURE_2D, 0, gl.RGBA, gl.RGBA, gl.UNSIGNED_BYTE, image);\n // No filters? Just draw\n if (_filterChain.length === 0) {\n // const program = _compileShader(SHADER.FRAGMENT_IDENTITY);\n _draw();\n return _canvas;\n }\n for (let i = 0; i < _filterChain.length; i++) {\n _lastInChain = (i === _filterChain.length - 1);\n const f = _filterChain[i];\n f.func.apply(this, f.args || []);\n }\n return _canvas;\n };\n\n const _compileShader = function (fragmentSource) {\n if (_shaderProgramCache[fragmentSource]) {\n _currentProgram = _shaderProgramCache[fragmentSource];\n gl.useProgram(_currentProgram.id);\n return _currentProgram;\n }\n // Compile shaders\n const SHADER = {};\n SHADER.VERTEX_IDENTITY = [\n 'precision highp float;',\n 'attribute vec2 pos;',\n 'attribute vec2 uv;',\n 'varying vec2 vUv;',\n 'uniform float flipY;',\n 'void main(void) {',\n 'vUv = uv;',\n 'gl_Position = vec4(pos.x, pos.y*flipY, 0.0, 1.);',\n '}',\n ].join('\\n');\n SHADER.FRAGMENT_IDENTITY = [\n 'precision highp float;',\n 'varying vec2 vUv;',\n 'uniform sampler2D texture;',\n 'void main(void) {',\n 'gl_FragColor = texture2D(texture, vUv);',\n '}',\n ].join('\\n');\n _currentProgram = new GLProgram(gl, SHADER.VERTEX_IDENTITY, fragmentSource);\n const floatSize = Float32Array.BYTES_PER_ELEMENT;\n const vertSize = 4 * floatSize;\n gl.enableVertexAttribArray(_currentProgram.attribute.pos);\n gl.vertexAttribPointer(_currentProgram.attribute.pos, 2, gl.FLOAT, false, vertSize, 0 * floatSize);\n gl.enableVertexAttribArray(_currentProgram.attribute.uv);\n gl.vertexAttribPointer(_currentProgram.attribute.uv, 2, gl.FLOAT, false, vertSize, 2 * floatSize);\n _shaderProgramCache[fragmentSource] = _currentProgram;\n return _currentProgram;\n };\n\n // -------------------------------------------------------------------------\n // Color Matrix Filter\n _filter.colorMatrix = function (matrix) {\n // Create a Float32 Array and normalize the offset component to 0-1\n const m = new Float32Array(matrix);\n m[4] /= 255;\n m[9] /= 255;\n m[14] /= 255;\n m[19] /= 255;\n // Can we ignore the alpha value? Makes things a bit faster.\n const shader = (m[18] === 1 && m[3] === 0 && m[8] === 0 && m[13] === 0 && m[15] === 0 && m[16] === 0 && m[17] === 0 && m[19] === 0)\n ? _filter.colorMatrix.SHADER.WITHOUT_ALPHA\n : _filter.colorMatrix.SHADER.WITH_ALPHA;\n const program = _compileShader(shader);\n gl.uniform1fv(program.uniform.m, m);\n _draw();\n };\n _filter.colorMatrix.SHADER = {};\n _filter.colorMatrix.SHADER.WITH_ALPHA = [\n 'precision highp float;',\n 'varying vec2 vUv;',\n 'uniform sampler2D texture;',\n 'uniform float m[20];',\n 'void main(void) {',\n 'vec4 c = texture2D(texture, vUv);',\n 'gl_FragColor.r = m[0] * c.r + m[1] * c.g + m[2] * c.b + m[3] * c.a + m[4];',\n 'gl_FragColor.g = m[5] * c.r + m[6] * c.g + m[7] * c.b + m[8] * c.a + m[9];',\n 'gl_FragColor.b = m[10] * c.r + m[11] * c.g + m[12] * c.b + m[13] * c.a + m[14];',\n 'gl_FragColor.a = m[15] * c.r + m[16] * c.g + m[17] * c.b + m[18] * c.a + m[19];',\n '}',\n ].join('\\n');\n _filter.colorMatrix.SHADER.WITHOUT_ALPHA = [\n 'precision highp float;',\n 'varying vec2 vUv;',\n 'uniform sampler2D texture;',\n 'uniform float m[20];',\n 'void main(void) {',\n 'vec4 c = texture2D(texture, vUv);',\n 'gl_FragColor.r = m[0] * c.r + m[1] * c.g + m[2] * c.b + m[4];',\n 'gl_FragColor.g = m[5] * c.r + m[6] * c.g + m[7] * c.b + m[9];',\n 'gl_FragColor.b = m[10] * c.r + m[11] * c.g + m[12] * c.b + m[14];',\n 'gl_FragColor.a = c.a;',\n '}',\n ].join('\\n');\n\n _filter.brightness = function (brightness) {\n const b = (brightness || 0) + 1;\n _filter.colorMatrix([\n b, 0, 0, 0, 0,\n 0, b, 0, 0, 0,\n 0, 0, b, 0, 0,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.saturation = function (amount) {\n const x = (amount || 0) * 2 / 3 + 1;\n const y = ((x - 1) * -0.5);\n _filter.colorMatrix([\n x, y, y, 0, 0,\n y, x, y, 0, 0,\n y, y, x, 0, 0,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.desaturate = function () {\n _filter.saturation(-1);\n };\n\n _filter.contrast = function (amount) {\n const v = (amount || 0) + 1;\n const o = -128 * (v - 1);\n\n _filter.colorMatrix([\n v, 0, 0, 0, o,\n 0, v, 0, 0, o,\n 0, 0, v, 0, o,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.negative = function () {\n _filter.contrast(-2);\n };\n\n _filter.hue = function (rotation) {\n rotation = (rotation || 0) / 180 * Math.PI;\n const cos = Math.cos(rotation);\n const sin = Math.sin(rotation);\n const lumR = 0.213;\n const lumG = 0.715;\n const lumB = 0.072;\n\n _filter.colorMatrix([\n lumR + cos * (1 - lumR) + sin * (-lumR), lumG + cos * (-lumG) + sin * (-lumG), lumB + cos * (-lumB) + sin * (1 - lumB), 0, 0,\n lumR + cos * (-lumR) + sin * (0.143), lumG + cos * (1 - lumG) + sin * (0.140), lumB + cos * (-lumB) + sin * (-0.283), 0, 0,\n lumR + cos * (-lumR) + sin * (-(1 - lumR)), lumG + cos * (-lumG) + sin * (lumG), lumB + cos * (1 - lumB) + sin * (lumB), 0, 0,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.desaturateLuminance = function () {\n _filter.colorMatrix([\n 0.2764723, 0.9297080, 0.0938197, 0, -37.1,\n 0.2764723, 0.9297080, 0.0938197, 0, -37.1,\n 0.2764723, 0.9297080, 0.0938197, 0, -37.1,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.sepia = function () {\n _filter.colorMatrix([\n 0.393, 0.7689999, 0.18899999, 0, 0,\n 0.349, 0.6859999, 0.16799999, 0, 0,\n 0.272, 0.5339999, 0.13099999, 0, 0,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.brownie = function () {\n _filter.colorMatrix([\n 0.5997023498159715, 0.34553243048391263, -0.2708298674538042, 0, 47.43192855600873,\n -0.037703249837783157, 0.8609577587992641, 0.15059552388459913, 0, -36.96841498319127,\n 0.24113635128153335, -0.07441037908422492, 0.44972182064877153, 0, -7.562075277591283,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.vintagePinhole = function () {\n _filter.colorMatrix([\n 0.6279345635605994, 0.3202183420819367, -0.03965408211312453, 0, 9.651285835294123,\n 0.02578397704808868, 0.6441188644374771, 0.03259127616149294, 0, 7.462829176470591,\n 0.0466055556782719, -0.0851232987247891, 0.5241648018700465, 0, 5.159190588235296,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.kodachrome = function () {\n _filter.colorMatrix([\n 1.1285582396593525, -0.3967382283601348, -0.03992559172921793, 0, 63.72958762196502,\n -0.16404339962244616, 1.0835251566291304, -0.05498805115633132, 0, 24.732407896706203,\n -0.16786010706155763, -0.5603416277695248, 1.6014850761964943, 0, 35.62982807460946,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.technicolor = function () {\n _filter.colorMatrix([\n 1.9125277891456083, -0.8545344976951645, -0.09155508482755585, 0, 11.793603434377337,\n -0.3087833385928097, 1.7658908555458428, -0.10601743074722245, 0, -70.35205161461398,\n -0.231103377548616, -0.7501899197440212, 1.847597816108189, 0, 30.950940869491138,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.polaroid = function () {\n _filter.colorMatrix([\n 1.438, -0.062, -0.062, 0, 0,\n -0.122, 1.378, -0.122, 0, 0,\n -0.016, -0.016, 1.483, 0, 0,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.shiftToBGR = function () {\n _filter.colorMatrix([\n 0, 0, 1, 0, 0,\n 0, 1, 0, 0, 0,\n 1, 0, 0, 0, 0,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n // -------------------------------------------------------------------------\n // Convolution Filter\n _filter.convolution = function (matrix) {\n const m = new Float32Array(matrix);\n const pixelSizeX = 1 / _width;\n const pixelSizeY = 1 / _height;\n const program = _compileShader(_filter.convolution.SHADER);\n gl.uniform1fv(program.uniform.m, m);\n gl.uniform2f(program.uniform.px, pixelSizeX, pixelSizeY);\n _draw();\n };\n\n _filter.convolution.SHADER = [\n 'precision highp float;',\n 'varying vec2 vUv;',\n 'uniform sampler2D texture;',\n 'uniform vec2 px;',\n 'uniform float m[9];',\n 'void main(void) {',\n 'vec4 c11 = texture2D(texture, vUv - px);', // top left\n 'vec4 c12 = texture2D(texture, vec2(vUv.x, vUv.y - px.y));', // top center\n 'vec4 c13 = texture2D(texture, vec2(vUv.x + px.x, vUv.y - px.y));', // top right\n 'vec4 c21 = texture2D(texture, vec2(vUv.x - px.x, vUv.y) );', // mid left\n 'vec4 c22 = texture2D(texture, vUv);', // mid center\n 'vec4 c23 = texture2D(texture, vec2(vUv.x + px.x, vUv.y) );', // mid right\n 'vec4 c31 = texture2D(texture, vec2(vUv.x - px.x, vUv.y + px.y) );', // bottom left\n 'vec4 c32 = texture2D(texture, vec2(vUv.x, vUv.y + px.y) );', // bottom center\n 'vec4 c33 = texture2D(texture, vUv + px );', // bottom right\n 'gl_FragColor = ',\n 'c11 * m[0] + c12 * m[1] + c22 * m[2] +',\n 'c21 * m[3] + c22 * m[4] + c23 * m[5] +',\n 'c31 * m[6] + c32 * m[7] + c33 * m[8];',\n 'gl_FragColor.a = c22.a;',\n '}',\n ].join('\\n');\n\n _filter.detectEdges = function () {\n _filter.convolution.call(this, [\n 0, 1, 0,\n 1, -4, 1,\n 0, 1, 0,\n ]);\n };\n\n _filter.sobelX = function () {\n _filter.convolution.call(this, [\n -1, 0, 1,\n -2, 0, 2,\n -1, 0, 1,\n ]);\n };\n\n _filter.sobelY = function () {\n _filter.convolution.call(this, [\n -1, -2, -1,\n 0, 0, 0,\n 1, 2, 1,\n ]);\n };\n\n _filter.sharpen = function (amount) {\n const a = amount || 1;\n _filter.convolution.call(this, [\n 0, -1 * a, 0,\n -1 * a, 1 + 4 * a, -1 * a,\n 0, -1 * a, 0,\n ]);\n };\n\n _filter.emboss = function (size) {\n const s = size || 1;\n _filter.convolution.call(this, [\n -2 * s, -1 * s, 0,\n -1 * s, 1, 1 * s,\n 0, 1 * s, 2 * s,\n ]);\n };\n\n // -------------------------------------------------------------------------\n // Blur Filter\n _filter.blur = function (size) {\n const blurSizeX = (size / 7) / _width;\n const blurSizeY = (size / 7) / _height;\n const program = _compileShader(_filter.blur.SHADER);\n // Vertical\n gl.uniform2f(program.uniform.px, 0, blurSizeY);\n _draw(DRAW.INTERMEDIATE);\n // Horizontal\n gl.uniform2f(program.uniform.px, blurSizeX, 0);\n _draw();\n };\n\n _filter.blur.SHADER = [\n 'precision highp float;',\n 'varying vec2 vUv;',\n 'uniform sampler2D texture;',\n 'uniform vec2 px;',\n 'void main(void) {',\n 'gl_FragColor = vec4(0.0);',\n 'gl_FragColor += texture2D(texture, vUv + vec2(-7.0*px.x, -7.0*px.y))*0.0044299121055113265;',\n 'gl_FragColor += texture2D(texture, vUv + vec2(-6.0*px.x, -6.0*px.y))*0.00895781211794;',\n 'gl_FragColor += texture2D(texture, vUv + vec2(-5.0*px.x, -5.0*px.y))*0.0215963866053;',\n 'gl_FragColor += texture2D(texture, vUv + vec2(-4.0*px.x, -4.0*px.y))*0.0443683338718;',\n 'gl_FragColor += texture2D(texture, vUv + vec2(-3.0*px.x, -3.0*px.y))*0.0776744219933;',\n 'gl_FragColor += texture2D(texture, vUv + vec2(-2.0*px.x, -2.0*px.y))*0.115876621105;',\n 'gl_FragColor += texture2D(texture, vUv + vec2(-1.0*px.x, -1.0*px.y))*0.147308056121;',\n 'gl_FragColor += texture2D(texture, vUv )*0.159576912161;',\n 'gl_FragColor += texture2D(texture, vUv + vec2( 1.0*px.x, 1.0*px.y))*0.147308056121;',\n 'gl_FragColor += texture2D(texture, vUv + vec2( 2.0*px.x, 2.0*px.y))*0.115876621105;',\n 'gl_FragColor += texture2D(texture, vUv + vec2( 3.0*px.x, 3.0*px.y))*0.0776744219933;',\n 'gl_FragColor += texture2D(texture, vUv + vec2( 4.0*px.x, 4.0*px.y))*0.0443683338718;',\n 'gl_FragColor += texture2D(texture, vUv + vec2( 5.0*px.x, 5.0*px.y))*0.0215963866053;',\n 'gl_FragColor += texture2D(texture, vUv + vec2( 6.0*px.x, 6.0*px.y))*0.00895781211794;',\n 'gl_FragColor += texture2D(texture, vUv + vec2( 7.0*px.x, 7.0*px.y))*0.0044299121055113265;',\n '}',\n ].join('\\n');\n\n // -------------------------------------------------------------------------\n // Pixelate Filter\n _filter.pixelate = function (size) {\n const blurSizeX = (size) / _width;\n const blurSizeY = (size) / _height;\n const program = _compileShader(_filter.pixelate.SHADER);\n // Horizontal\n gl.uniform2f(program.uniform.size, blurSizeX, blurSizeY);\n _draw();\n };\n\n _filter.pixelate.SHADER = [\n 'precision highp float;',\n 'varying vec2 vUv;',\n 'uniform vec2 size;',\n 'uniform sampler2D texture;',\n 'vec2 pixelate(vec2 coord, vec2 size) {',\n 'return floor( coord / size ) * size;',\n '}',\n 'void main(void) {',\n 'gl_FragColor = vec4(0.0);',\n 'vec2 coord = pixelate(vUv, size);',\n 'gl_FragColor += texture2D(texture, coord);',\n '}',\n ].join('\\n');\n}\n", "// @ts-nocheck\n\nimport { log } from './log';\nimport * as tf from '../dist/tfjs.esm.js';\nimport * as fxImage from './imagefx';\n\n// internal temp canvases\nlet inCanvas = null;\nlet outCanvas = null;\n// instance of fximage\nlet fx = null;\n\n// process input image and return tensor\n// input can be tensor, imagedata, htmlimageelement, htmlvideoelement\n// input is resized and run through imagefx filter\nexport function process(input, config) {\n let tensor;\n if (input instanceof tf.Tensor) {\n tensor = tf.clone(input);\n } else {\n const originalWidth = input.naturalWidth || input.videoWidth || input.width || (input.shape && (input.shape[1] > 0));\n const originalHeight = input.naturalHeight || input.videoHeight || input.height || (input.shape && (input.shape[2] > 0));\n let targetWidth = originalWidth;\n let targetHeight = originalHeight;\n if (config.filter.width > 0) targetWidth = config.filter.width;\n else if (config.filter.height > 0) targetWidth = originalWidth * (config.filter.height / originalHeight);\n if (config.filter.height > 0) targetHeight = config.filter.height;\n else if (config.filter.width > 0) targetHeight = originalHeight * (config.filter.width / originalWidth);\n if (!targetWidth || !targetHeight) {\n log('Human: invalid input', input);\n return null;\n }\n if (!inCanvas || (inCanvas.width !== targetWidth) || (inCanvas.height !== targetHeight)) {\n inCanvas = (typeof OffscreenCanvas !== 'undefined') ? new OffscreenCanvas(targetWidth, targetHeight) : document.createElement('canvas');\n if (inCanvas.width !== targetWidth) inCanvas.width = targetWidth;\n if (inCanvas.height !== targetHeight) inCanvas.height = targetHeight;\n }\n const ctx = inCanvas.getContext('2d');\n if (input instanceof ImageData) ctx.putImageData(input, 0, 0);\n else ctx.drawImage(input, 0, 0, originalWidth, originalHeight, 0, 0, inCanvas.width, inCanvas.height);\n if (config.filter.enabled) {\n if (!fx || !outCanvas || (inCanvas.width !== outCanvas.width) || (inCanvas.height !== outCanvas.height)) {\n outCanvas = (typeof OffscreenCanvas !== 'undefined') ? new OffscreenCanvas(inCanvas.width, inCanvas.height) : document.createElement('canvas');\n if (outCanvas.width !== inCanvas.width) outCanvas.width = inCanvas.width;\n if (outCanvas.height !== inCanvas.height) outCanvas.height = inCanvas.height;\n log('created FX filter');\n fx = tf.ENV.flags.IS_BROWSER ? new fxImage.GLImageFilter({ canvas: outCanvas }) : null; // && (typeof document !== 'undefined')\n }\n if (!fx) return inCanvas;\n fx.reset();\n fx.addFilter('brightness', config.filter.brightness); // must have at least one filter enabled\n if (config.filter.contrast !== 0) fx.addFilter('contrast', config.filter.contrast);\n if (config.filter.sharpness !== 0) fx.addFilter('sharpen', config.filter.sharpness);\n if (config.filter.blur !== 0) fx.addFilter('blur', config.filter.blur);\n if (config.filter.saturation !== 0) fx.addFilter('saturation', config.filter.saturation);\n if (config.filter.hue !== 0) fx.addFilter('hue', config.filter.hue);\n if (config.filter.negative) fx.addFilter('negative');\n if (config.filter.sepia) fx.addFilter('sepia');\n if (config.filter.vintage) fx.addFilter('brownie');\n if (config.filter.sepia) fx.addFilter('sepia');\n if (config.filter.kodachrome) fx.addFilter('kodachrome');\n if (config.filter.technicolor) fx.addFilter('technicolor');\n if (config.filter.polaroid) fx.addFilter('polaroid');\n if (config.filter.pixelate !== 0) fx.addFilter('pixelate', config.filter.pixelate);\n fx.apply(inCanvas);\n // read pixel data\n /*\n const gl = outCanvas.getContext('webgl');\n if (gl) {\n const glBuffer = new Uint8Array(outCanvas.width * outCanvas.height * 4);\n const pixBuffer = new Uint8Array(outCanvas.width * outCanvas.height * 3);\n gl.readPixels(0, 0, outCanvas.width, outCanvas.height, gl.RGBA, gl.UNSIGNED_BYTE, glBuffer);\n // gl returns rbga while we only need rgb, so discarding alpha channel\n // gl returns starting point as lower left, so need to invert vertical\n let i = 0;\n for (let y = outCanvas.height - 1; y >= 0; y--) {\n for (let x = 0; x < outCanvas.width; x++) {\n const index = (x + y * outCanvas.width) * 4;\n pixBuffer[i++] = glBuffer[index + 0];\n pixBuffer[i++] = glBuffer[index + 1];\n pixBuffer[i++] = glBuffer[index + 2];\n }\n }\n outCanvas.data = pixBuffer;\n }\n */\n } else {\n outCanvas = inCanvas;\n if (fx) fx = null;\n }\n let pixels;\n if (outCanvas.data) {\n const shape = [outCanvas.height, outCanvas.width, 3];\n pixels = tf.tensor3d(outCanvas.data, shape, 'int32');\n } else if ((config.backend === 'webgl') || (outCanvas instanceof ImageData)) {\n // tf kernel-optimized method to get imagedata, also if input is imagedata, just use it\n pixels = tf.browser.fromPixels(outCanvas);\n } else {\n // cpu and wasm kernel does not implement efficient fromPixels method nor we can use canvas as-is, so we do a silly one more canvas\n const tempCanvas = (typeof OffscreenCanvas !== 'undefined') ? new OffscreenCanvas(targetWidth, targetHeight) : document.createElement('canvas');\n tempCanvas.width = targetWidth;\n tempCanvas.height = targetHeight;\n const tempCtx = tempCanvas.getContext('2d');\n tempCtx?.drawImage(outCanvas, 0, 0);\n const data = tempCtx?.getImageData(0, 0, targetWidth, targetHeight);\n pixels = tf.browser.fromPixels(data);\n }\n const casted = pixels.toFloat();\n tensor = casted.expandDims(0);\n pixels.dispose();\n casted.dispose();\n }\n return { tensor, canvas: config.filter.return ? outCanvas : null };\n}\n", "/* eslint-disable indent */\n/* eslint-disable no-multi-spaces */\n\nexport default {\n backend: 'webgl', // select tfjs backend to use\n wasmPath: '../assets/', // path for wasm binaries\n // only used for backend: wasm\n async: true, // execute enabled models in parallel\n // this disables per-model performance data but\n // slightly increases performance\n // cannot be used if profiling is enabled\n profile: false, // enable tfjs profiling\n // this has significant performance impact\n // only enable for debugging purposes\n // currently only implemented for age,gender,emotion models\n deallocate: false, // aggresively deallocate gpu memory after each usage\n // only valid for webgl backend and only during first call\n // cannot be changed unless library is reloaded\n // this has significant performance impact\n // only enable on low-memory devices\n scoped: false, // enable scoped runs\n // some models *may* have memory leaks,\n // this wrapps everything in a local scope at a cost of performance\n // typically not needed\n videoOptimized: true, // perform additional optimizations when input is video,\n // must be disabled for images\n // basically this skips object box boundary detection for every n frames\n // while maintaining in-box detection since objects cannot move that fast\n warmup: 'face', // what to use for human.warmup(), can be 'none', 'face', 'full'\n // warmup pre-initializes all models for faster inference but can take\n // significant time on startup\n filter: {\n enabled: true, // enable image pre-processing filters\n width: 0, // resize input width\n height: 0, // resize input height\n // if both width and height are set to 0, there is no resizing\n // if just one is set, second one is scaled automatically\n // if both are set, values are used as-is\n return: true, // return processed canvas imagedata in result\n brightness: 0, // range: -1 (darken) to 1 (lighten)\n contrast: 0, // range: -1 (reduce contrast) to 1 (increase contrast)\n sharpness: 0, // range: 0 (no sharpening) to 1 (maximum sharpening)\n blur: 0, // range: 0 (no blur) to N (blur radius in pixels)\n saturation: 0, // range: -1 (reduce saturation) to 1 (increase saturation)\n hue: 0, // range: 0 (no change) to 360 (hue rotation in degrees)\n negative: false, // image negative\n sepia: false, // image sepia colors\n vintage: false, // image vintage colors\n kodachrome: false, // image kodachrome colors\n technicolor: false, // image technicolor colors\n polaroid: false, // image polaroid camera effect\n pixelate: 0, // range: 0 (no pixelate) to N (number of pixels to pixelate)\n },\n\n gesture: {\n enabled: true, // enable simple gesture recognition\n },\n\n face: {\n enabled: true, // controls if specified modul is enabled\n // face.enabled is required for all face models:\n // detector, mesh, iris, age, gender, emotion\n // (note: module is not loaded until it is required)\n detector: {\n modelPath: '../models/blazeface-back.json', // can be 'blazeface-front', 'blazeface-front' or 'faceboxes'\n // 'blazeface-front' is blazeface model optimized for large faces such as front-facing camera\n // 'blazeface-back' is blazeface model optimized for smaller and/or distanct faces\n // 'faceboxes' is alternative model to 'blazeface\n inputSize: 256, // fixed value: 128 for front and 256 for 'back'\n rotation: false, // use best-guess rotated face image or just box with rotation as-is\n // false means higher performance, but incorrect mesh mapping if face angle is above 20 degrees\n maxFaces: 10, // maximum number of faces detected in the input\n // should be set to the minimum number for performance\n skipFrames: 11, // how many frames to go without re-running the face bounding box detector\n // only used for video inputs\n // e.g., if model is running st 25 FPS, we can re-use existing bounding\n // box for updated face analysis as the head probably hasn't moved much\n // in short time (10 * 1/25 = 0.25 sec)\n minConfidence: 0.5, // threshold for discarding a prediction\n iouThreshold: 0.2, // threshold for deciding whether boxes overlap too much in\n // non-maximum suppression (0.1 means drop if overlap 10%)\n scoreThreshold: 0.5, // threshold for deciding when to remove boxes based on score\n // in non-maximum suppression,\n // this is applied on detection objects only and before minConfidence\n },\n\n mesh: {\n enabled: true,\n modelPath: '../models/facemesh.json',\n inputSize: 192, // fixed value\n returnRawData: false, // in addition to standard mesh and box values, return raw normalized values as well\n },\n\n iris: {\n enabled: true,\n modelPath: '../models/iris.json',\n inputSize: 64, // fixed value\n },\n\n age: {\n enabled: true,\n modelPath: '../models/age-ssrnet-imdb.json', // can be 'age-ssrnet-imdb' or 'age-ssrnet-wiki'\n // which determines training set for model\n inputSize: 64, // fixed value\n skipFrames: 31, // how many frames to go without re-running the detector\n // only used for video inputs\n },\n\n gender: {\n enabled: true,\n minConfidence: 0.1, // threshold for discarding a prediction\n modelPath: '../models/gender-ssrnet-imdb.json', // can be 'gender', 'gender-ssrnet-imdb' or 'gender-ssrnet-wiki'\n inputSize: 64, // fixed value\n skipFrames: 41, // how many frames to go without re-running the detector\n // only used for video inputs\n },\n\n emotion: {\n enabled: true,\n inputSize: 64, // fixed value\n minConfidence: 0.2, // threshold for discarding a prediction\n skipFrames: 21, // how many frames to go without re-running the detector\n modelPath: '../models/emotion-large.json', // can be 'mini', 'large'\n },\n\n embedding: {\n enabled: false,\n inputSize: 112, // fixed value\n modelPath: '../models/mobilefacenet.json',\n },\n },\n\n body: {\n enabled: true,\n modelPath: '../models/posenet.json',\n inputSize: 257, // fixed value\n maxDetections: 10, // maximum number of people detected in the input\n // should be set to the minimum number for performance\n scoreThreshold: 0.5, // threshold for deciding when to remove boxes based on score\n // in non-maximum suppression\n nmsRadius: 20, // radius for deciding points are too close in non-maximum suppression\n outputStride: 16, // size of block in which to run point detectopn, smaller value means higher resolution\n // defined by model itself, can be 8, 16, or 32\n modelType: 'MobileNet', // Human includes MobileNet version, but you can switch to ResNet\n },\n\n hand: {\n enabled: true,\n rotation: false, // use best-guess rotated hand image or just box with rotation as-is\n // false means higher performance, but incorrect finger mapping if hand is inverted\n inputSize: 256, // fixed value\n skipFrames: 12, // how many frames to go without re-running the hand bounding box detector\n // only used for video inputs\n // e.g., if model is running st 25 FPS, we can re-use existing bounding\n // box for updated hand skeleton analysis as the hand probably\n // hasn't moved much in short time (10 * 1/25 = 0.25 sec)\n minConfidence: 0.1, // threshold for discarding a prediction\n iouThreshold: 0.1, // threshold for deciding whether boxes overlap too much\n // in non-maximum suppression\n scoreThreshold: 0.5, // threshold for deciding when to remove boxes based on\n // score in non-maximum suppression\n maxHands: 1, // maximum number of hands detected in the input\n // should be set to the minimum number for performance\n landmarks: true, // detect hand landmarks or just hand boundary box\n detector: {\n modelPath: '../models/handdetect.json',\n },\n skeleton: {\n modelPath: '../models/handskeleton.json',\n },\n },\n};\n", "// data:image/jpeg;base64,\nexport const face = 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+ "sourcesContent": ["import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as blazeface from './blazeface';\nimport * as facepipeline from './facepipeline';\nimport * as coords from './coords';\n\nexport class MediaPipeFaceMesh {\n facePipeline: any;\n config: any;\n\n constructor(blazeFace, blazeMeshModel, irisModel, config) {\n this.facePipeline = new facepipeline.Pipeline(blazeFace, blazeMeshModel, irisModel, config);\n this.config = config;\n }\n\n async estimateFaces(input, config) {\n const predictions = await this.facePipeline.predict(input, config);\n const results: Array<{}> = [];\n for (const prediction of (predictions || [])) {\n if (prediction.isDisposedInternal) continue; // guard against disposed tensors on long running operations such as pause in middle of processing\n const mesh = prediction.coords ? prediction.coords.arraySync() : null;\n const meshRaw = prediction.rawCoords;\n const annotations = {};\n if (mesh && mesh.length > 0) {\n for (const key of Object.keys(coords.MESH_ANNOTATIONS)) {\n annotations[key] = coords.MESH_ANNOTATIONS[key].map((index) => mesh[index]);\n }\n }\n const boxRaw = (config.face.mesh.returnRawData && prediction.box) ? { topLeft: prediction.box.startPoint, bottomRight: prediction.box.endPoint } : null;\n const box = prediction.box ? [\n Math.max(0, prediction.box.startPoint[0]),\n Math.max(0, prediction.box.startPoint[1]),\n Math.min(input.shape[2], prediction.box.endPoint[0]) - prediction.box.startPoint[0],\n Math.min(input.shape[1], prediction.box.endPoint[1]) - prediction.box.startPoint[1],\n ] : 0;\n results.push({ confidence: prediction.confidence || 0, box, mesh, boxRaw, meshRaw, annotations, image: prediction.image ? tf.clone(prediction.image) : null });\n if (prediction.coords) prediction.coords.dispose();\n if (prediction.image) prediction.image.dispose();\n }\n return results;\n }\n}\n\nlet faceModels = [null, null, null];\nexport async function load(config) {\n // @ts-ignore\n faceModels = await Promise.all([\n (!faceModels[0] && config.face.enabled) ? blazeface.load(config) : null,\n (!faceModels[1] && config.face.mesh.enabled) ? tf.loadGraphModel(config.face.mesh.modelPath, { fromTFHub: config.face.mesh.modelPath.includes('tfhub.dev') }) : null,\n (!faceModels[2] && config.face.iris.enabled) ? tf.loadGraphModel(config.face.iris.modelPath, { fromTFHub: config.face.iris.modelPath.includes('tfhub.dev') }) : null,\n ]);\n const faceMesh = new MediaPipeFaceMesh(faceModels[0], faceModels[1], faceModels[2], config);\n if (config.face.mesh.enabled) log(`load model: ${config.face.mesh.modelPath.match(/\\/(.*)\\./)[1]}`);\n if (config.face.iris.enabled) log(`load model: ${config.face.iris.modelPath.match(/\\/(.*)\\./)[1]}`);\n return faceMesh;\n}\n\nexports.triangulation = coords.TRI468;\n", "export const partNames = [\n 'nose', 'leftEye', 'rightEye', 'leftEar', 'rightEar', 'leftShoulder',\n 'rightShoulder', 'leftElbow', 'rightElbow', 'leftWrist', 'rightWrist',\n 'leftHip', 'rightHip', 'leftKnee', 'rightKnee', 'leftAnkle', 'rightAnkle',\n];\n\nexport const NUM_KEYPOINTS = exports.partNames.length;\n\nexport const partIds = exports.partNames.reduce((result, jointName, i) => {\n result[jointName] = i;\n return result;\n}, {});\n\nconst connectedPartNames = [\n ['leftHip', 'leftShoulder'], ['leftElbow', 'leftShoulder'],\n ['leftElbow', 'leftWrist'], ['leftHip', 'leftKnee'],\n ['leftKnee', 'leftAnkle'], ['rightHip', 'rightShoulder'],\n ['rightElbow', 'rightShoulder'], ['rightElbow', 'rightWrist'],\n ['rightHip', 'rightKnee'], ['rightKnee', 'rightAnkle'],\n ['leftShoulder', 'rightShoulder'], ['leftHip', 'rightHip'],\n];\nexport const connectedPartIndices = connectedPartNames.map(([jointNameA, jointNameB]) => ([partIds[jointNameA], partIds[jointNameB]]));\n\nexport const poseChain = [\n ['nose', 'leftEye'], ['leftEye', 'leftEar'], ['nose', 'rightEye'],\n ['rightEye', 'rightEar'], ['nose', 'leftShoulder'],\n ['leftShoulder', 'leftElbow'], ['leftElbow', 'leftWrist'],\n ['leftShoulder', 'leftHip'], ['leftHip', 'leftKnee'],\n ['leftKnee', 'leftAnkle'], ['nose', 'rightShoulder'],\n ['rightShoulder', 'rightElbow'], ['rightElbow', 'rightWrist'],\n ['rightShoulder', 'rightHip'], ['rightHip', 'rightKnee'],\n ['rightKnee', 'rightAnkle'],\n];\n\nexport const partChannels = [\n 'left_face',\n 'right_face',\n 'right_upper_leg_front',\n 'right_lower_leg_back',\n 'right_upper_leg_back',\n 'left_lower_leg_front',\n 'left_upper_leg_front',\n 'left_upper_leg_back',\n 'left_lower_leg_back',\n 'right_feet',\n 'right_lower_leg_front',\n 'left_feet',\n 'torso_front',\n 'torso_back',\n 'right_upper_arm_front',\n 'right_upper_arm_back',\n 'right_lower_arm_back',\n 'left_lower_arm_front',\n 'left_upper_arm_front',\n 'left_upper_arm_back',\n 'left_lower_arm_back',\n 'right_hand',\n 'right_lower_arm_front',\n 'left_hand',\n];\n", "import { log } from './log';\nimport * as tf from '../dist/tfjs.esm.js';\nimport * as backend from './tfjs/backend';\nimport * as facemesh from './blazeface/facemesh';\nimport * as faceboxes from './faceboxes/faceboxes';\nimport * as age from './age/age';\nimport * as gender from './gender/gender';\nimport * as emotion from './emotion/emotion';\nimport * as embedding from './embedding/embedding';\nimport * as posenet from './posenet/posenet';\nimport * as handpose from './handpose/handpose';\nimport * as gesture from './gesture/gesture';\nimport * as image from './image';\nimport * as profile from './profile';\nimport * as config from '../config';\nimport * as sample from './sample';\nimport * as app from '../package.json';\n\n// helper function: gets elapsed time on both browser and nodejs\nconst now = () => {\n if (typeof performance !== 'undefined') return performance.now();\n return parseInt((Number(process.hrtime.bigint()) / 1000 / 1000).toString());\n};\n\n// helper function: perform deep merge of multiple objects so it allows full inheriance with overrides\nfunction mergeDeep(...objects) {\n const isObject = (obj) => obj && typeof obj === 'object';\n return objects.reduce((prev, obj) => {\n Object.keys(obj || {}).forEach((key) => {\n const pVal = prev[key];\n const oVal = obj[key];\n if (Array.isArray(pVal) && Array.isArray(oVal)) {\n prev[key] = pVal.concat(...oVal);\n } else if (isObject(pVal) && isObject(oVal)) {\n prev[key] = mergeDeep(pVal, oVal);\n } else {\n prev[key] = oVal;\n }\n });\n return prev;\n }, {});\n}\n\nclass Human {\n tf: any;\n package: any;\n version: string;\n config: any;\n fx: any;\n state: string;\n numTensors: number;\n analyzeMemoryLeaks: boolean;\n checkSanity: boolean;\n firstRun: boolean;\n perf: any;\n models: any;\n // models\n facemesh: any;\n age: any;\n gender: any;\n emotion: any;\n body: any;\n hand: any;\n\n constructor(userConfig = {}) {\n this.tf = tf;\n this.package = app;\n this.version = app.version;\n this.config = mergeDeep(config.default, userConfig);\n this.fx = null;\n this.state = 'idle';\n this.numTensors = 0;\n this.analyzeMemoryLeaks = false;\n this.checkSanity = false;\n this.firstRun = true;\n this.perf = {};\n // object that contains all initialized models\n this.models = {\n facemesh: null,\n posenet: null,\n handpose: null,\n iris: null,\n age: null,\n gender: null,\n emotion: null,\n };\n // export raw access to underlying models\n this.facemesh = facemesh;\n this.age = age;\n this.gender = gender;\n this.emotion = emotion;\n this.body = posenet;\n this.hand = handpose;\n }\n\n profile() {\n if (this.config.profile) return profile.data;\n return {};\n }\n\n // helper function: measure tensor leak\n analyze(...msg) {\n if (!this.analyzeMemoryLeaks) return;\n const current = this.tf.engine().state.numTensors;\n const previous = this.numTensors;\n this.numTensors = current;\n const leaked = current - previous;\n if (leaked !== 0) log(...msg, leaked);\n }\n\n // quick sanity check on inputs\n sanity(input) {\n if (!this.checkSanity) return null;\n if (!input) return 'input is not defined';\n if (this.tf.ENV.flags.IS_NODE && !(input instanceof this.tf.Tensor)) {\n return 'input must be a tensor';\n }\n try {\n this.tf.getBackend();\n } catch {\n return 'backend not loaded';\n }\n return null;\n }\n\n simmilarity(embedding1, embedding2) {\n if (this.config.face.embedding.enabled) return embedding.simmilarity(embedding1, embedding2);\n return 0;\n }\n\n // preload models, not explicitly required as it's done automatically on first use\n async load(userConfig = null) {\n this.state = 'load';\n const timeStamp = now();\n if (userConfig) this.config = mergeDeep(this.config, userConfig);\n\n if (this.firstRun) {\n log(`version: ${this.version} TensorFlow/JS version: ${this.tf.version_core}`);\n await this.checkBackend(true);\n if (this.tf.ENV.flags.IS_BROWSER) {\n log('configuration:', this.config);\n log('tf flags:', this.tf.ENV.flags);\n }\n }\n const face = this.config.face.detector.modelPath.includes('faceboxes') ? faceboxes : facemesh;\n if (this.config.async) {\n [\n this.models.face,\n this.models.age,\n this.models.gender,\n this.models.emotion,\n this.models.embedding,\n this.models.posenet,\n this.models.handpose,\n ] = await Promise.all([\n this.models.face || (this.config.face.enabled ? face.load(this.config) : null),\n this.models.age || ((this.config.face.enabled && this.config.face.age.enabled) ? age.load(this.config) : null),\n this.models.gender || ((this.config.face.enabled && this.config.face.gender.enabled) ? gender.load(this.config) : null),\n this.models.emotion || ((this.config.face.enabled && this.config.face.emotion.enabled) ? emotion.load(this.config) : null),\n this.models.embedding || ((this.config.face.enabled && this.config.face.embedding.enabled) ? embedding.load(this.config) : null),\n this.models.posenet || (this.config.body.enabled ? posenet.load(this.config) : null),\n this.models.handpose || (this.config.hand.enabled ? handpose.load(this.config) : null),\n ]);\n } else {\n if (this.config.face.enabled && !this.models.face) this.models.face = await face.load(this.config);\n if (this.config.face.enabled && this.config.face.age.enabled && !this.models.age) this.models.age = await age.load(this.config);\n if (this.config.face.enabled && this.config.face.gender.enabled && !this.models.gender) this.models.gender = await gender.load(this.config);\n if (this.config.face.enabled && this.config.face.emotion.enabled && !this.models.emotion) this.models.emotion = await emotion.load(this.config);\n if (this.config.face.enabled && this.config.face.embedding.enabled && !this.models.embedding) this.models.embedding = await embedding.load(this.config);\n if (this.config.body.enabled && !this.models.posenet) this.models.posenet = await posenet.load(this.config);\n if (this.config.hand.enabled && !this.models.handpose) this.models.handpose = await handpose.load(this.config);\n }\n\n if (this.firstRun) {\n log('tf engine state:', this.tf.engine().state.numBytes, 'bytes', this.tf.engine().state.numTensors, 'tensors');\n this.firstRun = false;\n }\n\n const current = Math.trunc(now() - timeStamp);\n if (current > (this.perf.load || 0)) this.perf.load = current;\n }\n\n // check if backend needs initialization if it changed\n async checkBackend(force = false) {\n if (this.config.backend && (this.config.backend !== '') && force || (this.tf.getBackend() !== this.config.backend)) {\n const timeStamp = now();\n this.state = 'backend';\n /* force backend reload\n if (this.config.backend in tf.engine().registry) {\n const backendFactory = tf.findBackendFactory(this.config.backend);\n tf.removeBackend(this.config.backend);\n tf.registerBackend(this.config.backend, backendFactory);\n } else {\n log('Backend not registred:', this.config.backend);\n }\n */\n\n log('setting backend:', this.config.backend);\n\n if (this.config.backend === 'wasm') {\n log('settings wasm path:', this.config.wasmPath);\n this.tf.setWasmPaths(this.config.wasmPath);\n const simd = await this.tf.env().getAsync('WASM_HAS_SIMD_SUPPORT');\n if (!simd) log('warning: wasm simd support is not enabled');\n }\n\n if (this.config.backend === 'humangl') backend.register();\n try {\n await this.tf.setBackend(this.config.backend);\n } catch (err) {\n log('error: cannot set backend:', this.config.backend, err);\n }\n this.tf.enableProdMode();\n /* debug mode is really too mcuh\n tf.enableDebugMode();\n */\n if (this.tf.getBackend() === 'webgl') {\n if (this.config.deallocate) {\n log('changing webgl: WEBGL_DELETE_TEXTURE_THRESHOLD:', this.config.deallocate);\n this.tf.ENV.set('WEBGL_DELETE_TEXTURE_THRESHOLD', this.config.deallocate ? 0 : -1);\n }\n this.tf.ENV.set('WEBGL_FORCE_F16_TEXTURES', true);\n this.tf.ENV.set('WEBGL_PACK_DEPTHWISECONV', true);\n const gl = await this.tf.backend().getGPGPUContext().gl;\n log(`gl version:${gl.getParameter(gl.VERSION)} renderer:${gl.getParameter(gl.RENDERER)}`);\n }\n await this.tf.ready();\n this.perf.backend = Math.trunc(now() - timeStamp);\n }\n }\n\n async detectFace(input) {\n // run facemesh, includes blazeface and iris\n // eslint-disable-next-line no-async-promise-executor\n let timeStamp;\n let ageRes;\n let genderRes;\n let emotionRes;\n let embeddingRes;\n const faceRes: Array<{ confidence: number, box: any, mesh: any, meshRaw: any, boxRaw: any, annotations: any, age: number, gender: string, genderConfidence: number, emotion: string, embedding: any, iris: number }> = [];\n this.state = 'run:face';\n timeStamp = now();\n const faces = await this.models.face?.estimateFaces(input, this.config);\n this.perf.face = Math.trunc(now() - timeStamp);\n for (const face of faces) {\n this.analyze('Get Face');\n\n // is something went wrong, skip the face\n if (!face.image || face.image.isDisposedInternal) {\n log('Face object is disposed:', face.image);\n continue;\n }\n\n // run age, inherits face from blazeface\n this.analyze('Start Age:');\n if (this.config.async) {\n ageRes = this.config.face.age.enabled ? age.predict(face.image, this.config) : {};\n } else {\n this.state = 'run:age';\n timeStamp = now();\n ageRes = this.config.face.age.enabled ? await age.predict(face.image, this.config) : {};\n this.perf.age = Math.trunc(now() - timeStamp);\n }\n\n // run gender, inherits face from blazeface\n this.analyze('Start Gender:');\n if (this.config.async) {\n genderRes = this.config.face.gender.enabled ? gender.predict(face.image, this.config) : {};\n } else {\n this.state = 'run:gender';\n timeStamp = now();\n genderRes = this.config.face.gender.enabled ? await gender.predict(face.image, this.config) : {};\n this.perf.gender = Math.trunc(now() - timeStamp);\n }\n\n // run emotion, inherits face from blazeface\n this.analyze('Start Emotion:');\n if (this.config.async) {\n emotionRes = this.config.face.emotion.enabled ? emotion.predict(face.image, this.config) : {};\n } else {\n this.state = 'run:emotion';\n timeStamp = now();\n emotionRes = this.config.face.emotion.enabled ? await emotion.predict(face.image, this.config) : {};\n this.perf.emotion = Math.trunc(now() - timeStamp);\n }\n this.analyze('End Emotion:');\n\n // run emotion, inherits face from blazeface\n this.analyze('Start Embedding:');\n if (this.config.async) {\n embeddingRes = this.config.face.embedding.enabled ? embedding.predict(face.image, this.config) : {};\n } else {\n this.state = 'run:embedding';\n timeStamp = now();\n embeddingRes = this.config.face.embedding.enabled ? await embedding.predict(face.image, this.config) : {};\n this.perf.embedding = Math.trunc(now() - timeStamp);\n }\n this.analyze('End Emotion:');\n\n // if async wait for results\n if (this.config.async) {\n [ageRes, genderRes, emotionRes, embeddingRes] = await Promise.all([ageRes, genderRes, emotionRes, embeddingRes]);\n }\n\n this.analyze('Finish Face:');\n\n // calculate iris distance\n // iris: array[ center, left, top, right, bottom]\n if (!this.config.face.iris.enabled && face?.annotations?.leftEyeIris && face?.annotations?.rightEyeIris) {\n delete face.annotations.leftEyeIris;\n delete face.annotations.rightEyeIris;\n }\n const irisSize = (face.annotations?.leftEyeIris && face.annotations?.rightEyeIris)\n /* average human iris size is 11.7mm */\n ? 11.7 * Math.max(Math.abs(face.annotations.leftEyeIris[3][0] - face.annotations.leftEyeIris[1][0]), Math.abs(face.annotations.rightEyeIris[4][1] - face.annotations.rightEyeIris[2][1]))\n : 0;\n\n // combine results\n faceRes.push({\n confidence: face.confidence,\n box: face.box,\n mesh: face.mesh,\n boxRaw: face.boxRaw,\n meshRaw: face.meshRaw,\n annotations: face.annotations,\n age: ageRes.age,\n gender: genderRes.gender,\n genderConfidence: genderRes.confidence,\n emotion: emotionRes,\n embedding: embeddingRes,\n iris: (irisSize !== 0) ? Math.trunc(irisSize) / 100 : 0,\n // image: face.image.toInt().squeeze(),\n });\n\n // dont need face anymore\n face.image?.dispose();\n this.analyze('End Face');\n }\n this.analyze('End FaceMesh:');\n if (this.config.async) {\n if (this.perf.face) delete this.perf.face;\n if (this.perf.age) delete this.perf.age;\n if (this.perf.gender) delete this.perf.gender;\n if (this.perf.emotion) delete this.perf.emotion;\n }\n return faceRes;\n }\n\n /*\n async processImage(input, userConfig = {}) {\n this.state = 'image';\n this.config = mergeDeep(this.config, userConfig);\n const process = image.process(input, this.config);\n process?.tensor?.dispose();\n return process?.canvas;\n }\n */\n\n // main detect function\n async detect(input, userConfig = {}) {\n // detection happens inside a promise\n return new Promise(async (resolve) => {\n this.state = 'config';\n let timeStamp;\n\n // update configuration\n this.config = mergeDeep(this.config, userConfig);\n\n // sanity checks\n this.state = 'check';\n const error = this.sanity(input);\n if (error) {\n log(error, input);\n resolve({ error });\n }\n\n let poseRes;\n let handRes;\n let faceRes;\n\n const timeStart = now();\n\n // configure backend\n await this.checkBackend();\n\n // load models if enabled\n await this.load();\n\n if (this.config.scoped) this.tf.engine().startScope();\n this.analyze('Start Scope:');\n\n timeStamp = now();\n const process = image.process(input, this.config);\n if (!process || !process.tensor) {\n log('could not convert input to tensor');\n resolve({ error: 'could not convert input to tensor' });\n return;\n }\n this.perf.image = Math.trunc(now() - timeStamp);\n this.analyze('Get Image:');\n\n // run face detection followed by all models that rely on face bounding box: face mesh, age, gender, emotion\n if (this.config.async) {\n faceRes = this.config.face.enabled ? this.detectFace(process.tensor) : [];\n if (this.perf.face) delete this.perf.face;\n } else {\n this.state = 'run:face';\n timeStamp = now();\n faceRes = this.config.face.enabled ? await this.detectFace(process.tensor) : [];\n this.perf.face = Math.trunc(now() - timeStamp);\n }\n\n // run posenet\n this.analyze('Start Body:');\n if (this.config.async) {\n poseRes = this.config.body.enabled ? this.models.posenet?.estimatePoses(process.tensor, this.config) : [];\n if (this.perf.body) delete this.perf.body;\n } else {\n this.state = 'run:body';\n timeStamp = now();\n poseRes = this.config.body.enabled ? await this.models.posenet?.estimatePoses(process.tensor, this.config) : [];\n this.perf.body = Math.trunc(now() - timeStamp);\n }\n this.analyze('End Body:');\n\n // run handpose\n this.analyze('Start Hand:');\n if (this.config.async) {\n handRes = this.config.hand.enabled ? this.models.handpose?.estimateHands(process.tensor, this.config) : [];\n if (this.perf.hand) delete this.perf.hand;\n } else {\n this.state = 'run:hand';\n timeStamp = now();\n handRes = this.config.hand.enabled ? await this.models.handpose?.estimateHands(process.tensor, this.config) : [];\n this.perf.hand = Math.trunc(now() - timeStamp);\n }\n this.analyze('End Hand:');\n\n // if async wait for results\n if (this.config.async) {\n [faceRes, poseRes, handRes] = await Promise.all([faceRes, poseRes, handRes]);\n }\n process.tensor.dispose();\n\n if (this.config.scoped) this.tf.engine().endScope();\n this.analyze('End Scope:');\n\n let gestureRes = [];\n if (this.config.gesture.enabled) {\n timeStamp = now();\n // @ts-ignore\n gestureRes = [...gesture.face(faceRes), ...gesture.body(poseRes), ...gesture.hand(handRes), ...gesture.iris(faceRes)];\n if (!this.config.async) this.perf.gesture = Math.trunc(now() - timeStamp);\n else if (this.perf.gesture) delete this.perf.gesture;\n }\n\n this.perf.total = Math.trunc(now() - timeStart);\n this.state = 'idle';\n resolve({ face: faceRes, body: poseRes, hand: handRes, gesture: gestureRes, performance: this.perf, canvas: process.canvas });\n });\n }\n\n async warmupBitmap() {\n const b64toBlob = (base64, type = 'application/octet-stream') => fetch(`data:${type};base64,${base64}`).then((res) => res.blob());\n let blob;\n let res;\n switch (this.config.warmup) {\n case 'face': blob = await b64toBlob(sample.face); break;\n case 'full': blob = await b64toBlob(sample.body); break;\n default: blob = null;\n }\n if (blob) {\n const bitmap = await createImageBitmap(blob);\n res = await this.detect(bitmap, this.config);\n bitmap.close();\n }\n return res;\n }\n\n async warmupCanvas() {\n return new Promise((resolve) => {\n let src;\n let size = 0;\n switch (this.config.warmup) {\n case 'face':\n size = 256;\n src = 'data:image/jpeg;base64,' + sample.face;\n break;\n case 'full':\n size = 1200;\n src = 'data:image/jpeg;base64,' + sample.body;\n break;\n default:\n src = null;\n }\n const img = new Image(size, size);\n img.onload = () => {\n const canvas = (typeof OffscreenCanvas !== 'undefined') ? new OffscreenCanvas(size, size) : document.createElement('canvas');\n canvas.width = size;\n canvas.height = size;\n const ctx = canvas.getContext('2d');\n ctx?.drawImage(img, 0, 0);\n const data = ctx?.getImageData(0, 0, size, size);\n this.detect(data, this.config).then((res) => resolve(res));\n };\n if (src) img.src = src;\n else resolve(null);\n });\n }\n\n async warmupNode() {\n const atob = (str) => Buffer.from(str, 'base64');\n const img = this.config.warmup === 'face' ? atob(sample.face) : atob(sample.body);\n // @ts-ignore\n const data = tf.node.decodeJpeg(img); // tf.node is only defined when compiling for nodejs\n const expanded = data.expandDims(0);\n this.tf.dispose(data);\n // log('Input:', expanded);\n const res = await this.detect(expanded, this.config);\n this.tf.dispose(expanded);\n return res;\n }\n\n async warmup(userConfig) {\n const t0 = now();\n if (userConfig) this.config = mergeDeep(this.config, userConfig);\n const video = this.config.videoOptimized;\n this.config.videoOptimized = false;\n let res;\n if (typeof createImageBitmap === 'function') res = await this.warmupBitmap();\n else if (typeof Image !== 'undefined') res = await this.warmupCanvas();\n else res = await this.warmupNode();\n this.config.videoOptimized = video;\n const t1 = now();\n log('Warmup', this.config.warmup, Math.round(t1 - t0), 'ms', res);\n return res;\n }\n}\n\nexport { Human as default };\n", "// helper function: wrapper around console output\nexport function log(...msg) {\n const dt = new Date();\n const ts = `${dt.getHours().toString().padStart(2, '0')}:${dt.getMinutes().toString().padStart(2, '0')}:${dt.getSeconds().toString().padStart(2, '0')}.${dt.getMilliseconds().toString().padStart(3, '0')}`;\n // eslint-disable-next-line no-console\n if (msg) console.log(ts, 'Human:', ...msg);\n}\n", "", "// A port of an algorithm by Johannes Baag\u00F8e , 2010\n// http://baagoe.com/en/RandomMusings/javascript/\n// https://github.com/nquinlan/better-random-numbers-for-javascript-mirror\n// Original work is under MIT license -\n\n// Copyright (C) 2010 by Johannes Baag\u00F8e \n//\n// Permission is hereby granted, free of charge, to any person obtaining a copy\n// of this software and associated documentation files (the \"Software\"), to deal\n// in the Software without restriction, including without limitation the rights\n// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell\n// copies of the Software, and to permit persons to whom the Software is\n// furnished to do so, subject to the following conditions:\n// \n// The above copyright notice and this permission notice shall be included in\n// all copies or substantial portions of the Software.\n// \n// THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\n// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\n// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN\n// THE SOFTWARE.\n\n\n\n(function(global, module, define) {\n\nfunction Alea(seed) {\n var me = this, mash = Mash();\n\n me.next = function() {\n var t = 2091639 * me.s0 + me.c * 2.3283064365386963e-10; // 2^-32\n me.s0 = me.s1;\n me.s1 = me.s2;\n return me.s2 = t - (me.c = t | 0);\n };\n\n // Apply the seeding algorithm from Baagoe.\n me.c = 1;\n me.s0 = mash(' ');\n me.s1 = mash(' ');\n me.s2 = mash(' ');\n me.s0 -= mash(seed);\n if (me.s0 < 0) { me.s0 += 1; }\n me.s1 -= mash(seed);\n if (me.s1 < 0) { me.s1 += 1; }\n me.s2 -= mash(seed);\n if (me.s2 < 0) { me.s2 += 1; }\n mash = null;\n}\n\nfunction copy(f, t) {\n t.c = f.c;\n t.s0 = f.s0;\n t.s1 = f.s1;\n t.s2 = f.s2;\n return t;\n}\n\nfunction impl(seed, opts) {\n var xg = new Alea(seed),\n state = opts && opts.state,\n prng = xg.next;\n prng.int32 = function() { return (xg.next() * 0x100000000) | 0; }\n prng.double = function() {\n return prng() + (prng() * 0x200000 | 0) * 1.1102230246251565e-16; // 2^-53\n };\n prng.quick = prng;\n if (state) {\n if (typeof(state) == 'object') copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nfunction Mash() {\n var n = 0xefc8249d;\n\n var mash = function(data) {\n data = data.toString();\n for (var i = 0; i < data.length; i++) {\n n += data.charCodeAt(i);\n var h = 0.02519603282416938 * n;\n n = h >>> 0;\n h -= n;\n h *= n;\n n = h >>> 0;\n h -= n;\n n += h * 0x100000000; // 2^32\n }\n return (n >>> 0) * 2.3283064365386963e-10; // 2^-32\n };\n\n return mash;\n}\n\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.alea = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n\n", "// A Javascript implementaion of the \"xor128\" prng algorithm by\n// George Marsaglia. See http://www.jstatsoft.org/v08/i14/paper\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this, strseed = '';\n\n me.x = 0;\n me.y = 0;\n me.z = 0;\n me.w = 0;\n\n // Set up generator function.\n me.next = function() {\n var t = me.x ^ (me.x << 11);\n me.x = me.y;\n me.y = me.z;\n me.z = me.w;\n return me.w ^= (me.w >>> 19) ^ t ^ (t >>> 8);\n };\n\n if (seed === (seed | 0)) {\n // Integer seed.\n me.x = seed;\n } else {\n // String seed.\n strseed += seed;\n }\n\n // Mix in string seed, then discard an initial batch of 64 values.\n for (var k = 0; k < strseed.length + 64; k++) {\n me.x ^= strseed.charCodeAt(k) | 0;\n me.next();\n }\n}\n\nfunction copy(f, t) {\n t.x = f.x;\n t.y = f.y;\n t.z = f.z;\n t.w = f.w;\n return t;\n}\n\nfunction impl(seed, opts) {\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (typeof(state) == 'object') copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.xor128 = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n\n", "// A Javascript implementaion of the \"xorwow\" prng algorithm by\n// George Marsaglia. See http://www.jstatsoft.org/v08/i14/paper\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this, strseed = '';\n\n // Set up generator function.\n me.next = function() {\n var t = (me.x ^ (me.x >>> 2));\n me.x = me.y; me.y = me.z; me.z = me.w; me.w = me.v;\n return (me.d = (me.d + 362437 | 0)) +\n (me.v = (me.v ^ (me.v << 4)) ^ (t ^ (t << 1))) | 0;\n };\n\n me.x = 0;\n me.y = 0;\n me.z = 0;\n me.w = 0;\n me.v = 0;\n\n if (seed === (seed | 0)) {\n // Integer seed.\n me.x = seed;\n } else {\n // String seed.\n strseed += seed;\n }\n\n // Mix in string seed, then discard an initial batch of 64 values.\n for (var k = 0; k < strseed.length + 64; k++) {\n me.x ^= strseed.charCodeAt(k) | 0;\n if (k == strseed.length) {\n me.d = me.x << 10 ^ me.x >>> 4;\n }\n me.next();\n }\n}\n\nfunction copy(f, t) {\n t.x = f.x;\n t.y = f.y;\n t.z = f.z;\n t.w = f.w;\n t.v = f.v;\n t.d = f.d;\n return t;\n}\n\nfunction impl(seed, opts) {\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (typeof(state) == 'object') copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.xorwow = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n\n", "// A Javascript implementaion of the \"xorshift7\" algorithm by\n// Fran\u00E7ois Panneton and Pierre L'ecuyer:\n// \"On the Xorgshift Random Number Generators\"\n// http://saluc.engr.uconn.edu/refs/crypto/rng/panneton05onthexorshift.pdf\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this;\n\n // Set up generator function.\n me.next = function() {\n // Update xor generator.\n var X = me.x, i = me.i, t, v, w;\n t = X[i]; t ^= (t >>> 7); v = t ^ (t << 24);\n t = X[(i + 1) & 7]; v ^= t ^ (t >>> 10);\n t = X[(i + 3) & 7]; v ^= t ^ (t >>> 3);\n t = X[(i + 4) & 7]; v ^= t ^ (t << 7);\n t = X[(i + 7) & 7]; t = t ^ (t << 13); v ^= t ^ (t << 9);\n X[i] = v;\n me.i = (i + 1) & 7;\n return v;\n };\n\n function init(me, seed) {\n var j, w, X = [];\n\n if (seed === (seed | 0)) {\n // Seed state array using a 32-bit integer.\n w = X[0] = seed;\n } else {\n // Seed state using a string.\n seed = '' + seed;\n for (j = 0; j < seed.length; ++j) {\n X[j & 7] = (X[j & 7] << 15) ^\n (seed.charCodeAt(j) + X[(j + 1) & 7] << 13);\n }\n }\n // Enforce an array length of 8, not all zeroes.\n while (X.length < 8) X.push(0);\n for (j = 0; j < 8 && X[j] === 0; ++j);\n if (j == 8) w = X[7] = -1; else w = X[j];\n\n me.x = X;\n me.i = 0;\n\n // Discard an initial 256 values.\n for (j = 256; j > 0; --j) {\n me.next();\n }\n }\n\n init(me, seed);\n}\n\nfunction copy(f, t) {\n t.x = f.x.slice();\n t.i = f.i;\n return t;\n}\n\nfunction impl(seed, opts) {\n if (seed == null) seed = +(new Date);\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (state.x) copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.xorshift7 = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n", "// A Javascript implementaion of Richard Brent's Xorgens xor4096 algorithm.\n//\n// This fast non-cryptographic random number generator is designed for\n// use in Monte-Carlo algorithms. It combines a long-period xorshift\n// generator with a Weyl generator, and it passes all common batteries\n// of stasticial tests for randomness while consuming only a few nanoseconds\n// for each prng generated. For background on the generator, see Brent's\n// paper: \"Some long-period random number generators using shifts and xors.\"\n// http://arxiv.org/pdf/1004.3115v1.pdf\n//\n// Usage:\n//\n// var xor4096 = require('xor4096');\n// random = xor4096(1); // Seed with int32 or string.\n// assert.equal(random(), 0.1520436450538547); // (0, 1) range, 53 bits.\n// assert.equal(random.int32(), 1806534897); // signed int32, 32 bits.\n//\n// For nonzero numeric keys, this impelementation provides a sequence\n// identical to that by Brent's xorgens 3 implementaion in C. This\n// implementation also provides for initalizing the generator with\n// string seeds, or for saving and restoring the state of the generator.\n//\n// On Chrome, this prng benchmarks about 2.1 times slower than\n// Javascript's built-in Math.random().\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this;\n\n // Set up generator function.\n me.next = function() {\n var w = me.w,\n X = me.X, i = me.i, t, v;\n // Update Weyl generator.\n me.w = w = (w + 0x61c88647) | 0;\n // Update xor generator.\n v = X[(i + 34) & 127];\n t = X[i = ((i + 1) & 127)];\n v ^= v << 13;\n t ^= t << 17;\n v ^= v >>> 15;\n t ^= t >>> 12;\n // Update Xor generator array state.\n v = X[i] = v ^ t;\n me.i = i;\n // Result is the combination.\n return (v + (w ^ (w >>> 16))) | 0;\n };\n\n function init(me, seed) {\n var t, v, i, j, w, X = [], limit = 128;\n if (seed === (seed | 0)) {\n // Numeric seeds initialize v, which is used to generates X.\n v = seed;\n seed = null;\n } else {\n // String seeds are mixed into v and X one character at a time.\n seed = seed + '\\0';\n v = 0;\n limit = Math.max(limit, seed.length);\n }\n // Initialize circular array and weyl value.\n for (i = 0, j = -32; j < limit; ++j) {\n // Put the unicode characters into the array, and shuffle them.\n if (seed) v ^= seed.charCodeAt((j + 32) % seed.length);\n // After 32 shuffles, take v as the starting w value.\n if (j === 0) w = v;\n v ^= v << 10;\n v ^= v >>> 15;\n v ^= v << 4;\n v ^= v >>> 13;\n if (j >= 0) {\n w = (w + 0x61c88647) | 0; // Weyl.\n t = (X[j & 127] ^= (v + w)); // Combine xor and weyl to init array.\n i = (0 == t) ? i + 1 : 0; // Count zeroes.\n }\n }\n // We have detected all zeroes; make the key nonzero.\n if (i >= 128) {\n X[(seed && seed.length || 0) & 127] = -1;\n }\n // Run the generator 512 times to further mix the state before using it.\n // Factoring this as a function slows the main generator, so it is just\n // unrolled here. The weyl generator is not advanced while warming up.\n i = 127;\n for (j = 4 * 128; j > 0; --j) {\n v = X[(i + 34) & 127];\n t = X[i = ((i + 1) & 127)];\n v ^= v << 13;\n t ^= t << 17;\n v ^= v >>> 15;\n t ^= t >>> 12;\n X[i] = v ^ t;\n }\n // Storing state as object members is faster than using closure variables.\n me.w = w;\n me.X = X;\n me.i = i;\n }\n\n init(me, seed);\n}\n\nfunction copy(f, t) {\n t.i = f.i;\n t.w = f.w;\n t.X = f.X.slice();\n return t;\n};\n\nfunction impl(seed, opts) {\n if (seed == null) seed = +(new Date);\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (state.X) copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.xor4096 = impl;\n}\n\n})(\n this, // window object or global\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n", "// A Javascript implementaion of the \"Tyche-i\" prng algorithm by\n// Samuel Neves and Filipe Araujo.\n// See https://eden.dei.uc.pt/~sneves/pubs/2011-snfa2.pdf\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this, strseed = '';\n\n // Set up generator function.\n me.next = function() {\n var b = me.b, c = me.c, d = me.d, a = me.a;\n b = (b << 25) ^ (b >>> 7) ^ c;\n c = (c - d) | 0;\n d = (d << 24) ^ (d >>> 8) ^ a;\n a = (a - b) | 0;\n me.b = b = (b << 20) ^ (b >>> 12) ^ c;\n me.c = c = (c - d) | 0;\n me.d = (d << 16) ^ (c >>> 16) ^ a;\n return me.a = (a - b) | 0;\n };\n\n /* The following is non-inverted tyche, which has better internal\n * bit diffusion, but which is about 25% slower than tyche-i in JS.\n me.next = function() {\n var a = me.a, b = me.b, c = me.c, d = me.d;\n a = (me.a + me.b | 0) >>> 0;\n d = me.d ^ a; d = d << 16 ^ d >>> 16;\n c = me.c + d | 0;\n b = me.b ^ c; b = b << 12 ^ d >>> 20;\n me.a = a = a + b | 0;\n d = d ^ a; me.d = d = d << 8 ^ d >>> 24;\n me.c = c = c + d | 0;\n b = b ^ c;\n return me.b = (b << 7 ^ b >>> 25);\n }\n */\n\n me.a = 0;\n me.b = 0;\n me.c = 2654435769 | 0;\n me.d = 1367130551;\n\n if (seed === Math.floor(seed)) {\n // Integer seed.\n me.a = (seed / 0x100000000) | 0;\n me.b = seed | 0;\n } else {\n // String seed.\n strseed += seed;\n }\n\n // Mix in string seed, then discard an initial batch of 64 values.\n for (var k = 0; k < strseed.length + 20; k++) {\n me.b ^= strseed.charCodeAt(k) | 0;\n me.next();\n }\n}\n\nfunction copy(f, t) {\n t.a = f.a;\n t.b = f.b;\n t.c = f.c;\n t.d = f.d;\n return t;\n};\n\nfunction impl(seed, opts) {\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (typeof(state) == 'object') copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.tychei = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n\n", "", "/*\nCopyright 2014 David Bau.\n\nPermission is hereby granted, free of charge, to any person obtaining\na copy of this software and associated documentation files (the\n\"Software\"), to deal in the Software without restriction, including\nwithout limitation the rights to use, copy, modify, merge, publish,\ndistribute, sublicense, and/or sell copies of the Software, and to\npermit persons to whom the Software is furnished to do so, subject to\nthe following conditions:\n\nThe above copyright notice and this permission notice shall be\nincluded in all copies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND,\nEXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF\nMERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.\nIN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY\nCLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,\nTORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE\nSOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.\n\n*/\n\n(function (pool, math) {\n//\n// The following constants are related to IEEE 754 limits.\n//\nvar global = this,\n width = 256, // each RC4 output is 0 <= x < 256\n chunks = 6, // at least six RC4 outputs for each double\n digits = 52, // there are 52 significant digits in a double\n rngname = 'random', // rngname: name for Math.random and Math.seedrandom\n startdenom = math.pow(width, chunks),\n significance = math.pow(2, digits),\n overflow = significance * 2,\n mask = width - 1,\n nodecrypto; // node.js crypto module, initialized at the bottom.\n\n//\n// seedrandom()\n// This is the seedrandom function described above.\n//\nfunction seedrandom(seed, options, callback) {\n var key = [];\n options = (options == true) ? { entropy: true } : (options || {});\n\n // Flatten the seed string or build one from local entropy if needed.\n var shortseed = mixkey(flatten(\n options.entropy ? [seed, tostring(pool)] :\n (seed == null) ? autoseed() : seed, 3), key);\n\n // Use the seed to initialize an ARC4 generator.\n var arc4 = new ARC4(key);\n\n // This function returns a random double in [0, 1) that contains\n // randomness in every bit of the mantissa of the IEEE 754 value.\n var prng = function() {\n var n = arc4.g(chunks), // Start with a numerator n < 2 ^ 48\n d = startdenom, // and denominator d = 2 ^ 48.\n x = 0; // and no 'extra last byte'.\n while (n < significance) { // Fill up all significant digits by\n n = (n + x) * width; // shifting numerator and\n d *= width; // denominator and generating a\n x = arc4.g(1); // new least-significant-byte.\n }\n while (n >= overflow) { // To avoid rounding up, before adding\n n /= 2; // last byte, shift everything\n d /= 2; // right using integer math until\n x >>>= 1; // we have exactly the desired bits.\n }\n return (n + x) / d; // Form the number within [0, 1).\n };\n\n prng.int32 = function() { return arc4.g(4) | 0; }\n prng.quick = function() { return arc4.g(4) / 0x100000000; }\n prng.double = prng;\n\n // Mix the randomness into accumulated entropy.\n mixkey(tostring(arc4.S), pool);\n\n // Calling convention: what to return as a function of prng, seed, is_math.\n return (options.pass || callback ||\n function(prng, seed, is_math_call, state) {\n if (state) {\n // Load the arc4 state from the given state if it has an S array.\n if (state.S) { copy(state, arc4); }\n // Only provide the .state method if requested via options.state.\n prng.state = function() { return copy(arc4, {}); }\n }\n\n // If called as a method of Math (Math.seedrandom()), mutate\n // Math.random because that is how seedrandom.js has worked since v1.0.\n if (is_math_call) { math[rngname] = prng; return seed; }\n\n // Otherwise, it is a newer calling convention, so return the\n // prng directly.\n else return prng;\n })(\n prng,\n shortseed,\n 'global' in options ? options.global : (this == math),\n options.state);\n}\nmath['seed' + rngname] = seedrandom;\n\n//\n// ARC4\n//\n// An ARC4 implementation. The constructor takes a key in the form of\n// an array of at most (width) integers that should be 0 <= x < (width).\n//\n// The g(count) method returns a pseudorandom integer that concatenates\n// the next (count) outputs from ARC4. Its return value is a number x\n// that is in the range 0 <= x < (width ^ count).\n//\nfunction ARC4(key) {\n var t, keylen = key.length,\n me = this, i = 0, j = me.i = me.j = 0, s = me.S = [];\n\n // The empty key [] is treated as [0].\n if (!keylen) { key = [keylen++]; }\n\n // Set up S using the standard key scheduling algorithm.\n while (i < width) {\n s[i] = i++;\n }\n for (i = 0; i < width; i++) {\n s[i] = s[j = mask & (j + key[i % keylen] + (t = s[i]))];\n s[j] = t;\n }\n\n // The \"g\" method returns the next (count) outputs as one number.\n (me.g = function(count) {\n // Using instance members instead of closure state nearly doubles speed.\n var t, r = 0,\n i = me.i, j = me.j, s = me.S;\n while (count--) {\n t = s[i = mask & (i + 1)];\n r = r * width + s[mask & ((s[i] = s[j = mask & (j + t)]) + (s[j] = t))];\n }\n me.i = i; me.j = j;\n return r;\n // For robust unpredictability, the function call below automatically\n // discards an initial batch of values. This is called RC4-drop[256].\n // See http://google.com/search?q=rsa+fluhrer+response&btnI\n })(width);\n}\n\n//\n// copy()\n// Copies internal state of ARC4 to or from a plain object.\n//\nfunction copy(f, t) {\n t.i = f.i;\n t.j = f.j;\n t.S = f.S.slice();\n return t;\n};\n\n//\n// flatten()\n// Converts an object tree to nested arrays of strings.\n//\nfunction flatten(obj, depth) {\n var result = [], typ = (typeof obj), prop;\n if (depth && typ == 'object') {\n for (prop in obj) {\n try { result.push(flatten(obj[prop], depth - 1)); } catch (e) {}\n }\n }\n return (result.length ? result : typ == 'string' ? obj : obj + '\\0');\n}\n\n//\n// mixkey()\n// Mixes a string seed into a key that is an array of integers, and\n// returns a shortened string seed that is equivalent to the result key.\n//\nfunction mixkey(seed, key) {\n var stringseed = seed + '', smear, j = 0;\n while (j < stringseed.length) {\n key[mask & j] =\n mask & ((smear ^= key[mask & j] * 19) + stringseed.charCodeAt(j++));\n }\n return tostring(key);\n}\n\n//\n// autoseed()\n// Returns an object for autoseeding, using window.crypto and Node crypto\n// module if available.\n//\nfunction autoseed() {\n try {\n var out;\n if (nodecrypto && (out = nodecrypto.randomBytes)) {\n // The use of 'out' to remember randomBytes makes tight minified code.\n out = out(width);\n } else {\n out = new Uint8Array(width);\n (global.crypto || global.msCrypto).getRandomValues(out);\n }\n return tostring(out);\n } catch (e) {\n var browser = global.navigator,\n plugins = browser && browser.plugins;\n return [+new Date, global, plugins, global.screen, tostring(pool)];\n }\n}\n\n//\n// tostring()\n// Converts an array of charcodes to a string\n//\nfunction tostring(a) {\n return String.fromCharCode.apply(0, a);\n}\n\n//\n// When seedrandom.js is loaded, we immediately mix a few bits\n// from the built-in RNG into the entropy pool. Because we do\n// not want to interfere with deterministic PRNG state later,\n// seedrandom will not call math.random on its own again after\n// initialization.\n//\nmixkey(math.random(), pool);\n\n//\n// Nodejs and AMD support: export the implementation as a module using\n// either convention.\n//\nif ((typeof module) == 'object' && module.exports) {\n module.exports = seedrandom;\n // When in node.js, try using crypto package for autoseeding.\n try {\n nodecrypto = require('crypto');\n } catch (ex) {}\n} else if ((typeof define) == 'function' && define.amd) {\n define(function() { return seedrandom; });\n}\n\n// End anonymous scope, and pass initial values.\n})(\n [], // pool: entropy pool starts empty\n Math // math: package containing random, pow, and seedrandom\n);\n", "// A library of seedable RNGs implemented in Javascript.\n//\n// Usage:\n//\n// var seedrandom = require('seedrandom');\n// var random = seedrandom(1); // or any seed.\n// var x = random(); // 0 <= x < 1. Every bit is random.\n// var x = random.quick(); // 0 <= x < 1. 32 bits of randomness.\n\n// alea, a 53-bit multiply-with-carry generator by Johannes Baag\u00F8e.\n// Period: ~2^116\n// Reported to pass all BigCrush tests.\nvar alea = require('./lib/alea');\n\n// xor128, a pure xor-shift generator by George Marsaglia.\n// Period: 2^128-1.\n// Reported to fail: MatrixRank and LinearComp.\nvar xor128 = require('./lib/xor128');\n\n// xorwow, George Marsaglia's 160-bit xor-shift combined plus weyl.\n// Period: 2^192-2^32\n// Reported to fail: CollisionOver, SimpPoker, and LinearComp.\nvar xorwow = require('./lib/xorwow');\n\n// xorshift7, by Fran\u00E7ois Panneton and Pierre L'ecuyer, takes\n// a different approach: it adds robustness by allowing more shifts\n// than Marsaglia's original three. It is a 7-shift generator\n// with 256 bits, that passes BigCrush with no systmatic failures.\n// Period 2^256-1.\n// No systematic BigCrush failures reported.\nvar xorshift7 = require('./lib/xorshift7');\n\n// xor4096, by Richard Brent, is a 4096-bit xor-shift with a\n// very long period that also adds a Weyl generator. It also passes\n// BigCrush with no systematic failures. Its long period may\n// be useful if you have many generators and need to avoid\n// collisions.\n// Period: 2^4128-2^32.\n// No systematic BigCrush failures reported.\nvar xor4096 = require('./lib/xor4096');\n\n// Tyche-i, by Samuel Neves and Filipe Araujo, is a bit-shifting random\n// number generator derived from ChaCha, a modern stream cipher.\n// https://eden.dei.uc.pt/~sneves/pubs/2011-snfa2.pdf\n// Period: ~2^127\n// No systematic BigCrush failures reported.\nvar tychei = require('./lib/tychei');\n\n// The original ARC4-based prng included in this library.\n// Period: ~2^1600\nvar sr = require('./seedrandom');\n\nsr.alea = alea;\nsr.xor128 = xor128;\nsr.xorwow = xorwow;\nsr.xorshift7 = xorshift7;\nsr.xor4096 = xor4096;\nsr.tychei = tychei;\n\nmodule.exports = sr;\n", "// A port of an algorithm by Johannes Baag\u00F8e , 2010\n// http://baagoe.com/en/RandomMusings/javascript/\n// https://github.com/nquinlan/better-random-numbers-for-javascript-mirror\n// Original work is under MIT license -\n\n// Copyright (C) 2010 by Johannes Baag\u00F8e \n//\n// Permission is hereby granted, free of charge, to any person obtaining a copy\n// of this software and associated documentation files (the \"Software\"), to deal\n// in the Software without restriction, including without limitation the rights\n// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell\n// copies of the Software, and to permit persons to whom the Software is\n// furnished to do so, subject to the following conditions:\n// \n// The above copyright notice and this permission notice shall be included in\n// all copies or substantial portions of the Software.\n// \n// THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\n// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\n// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN\n// THE SOFTWARE.\n\n\n\n(function(global, module, define) {\n\nfunction Alea(seed) {\n var me = this, mash = Mash();\n\n me.next = function() {\n var t = 2091639 * me.s0 + me.c * 2.3283064365386963e-10; // 2^-32\n me.s0 = me.s1;\n me.s1 = me.s2;\n return me.s2 = t - (me.c = t | 0);\n };\n\n // Apply the seeding algorithm from Baagoe.\n me.c = 1;\n me.s0 = mash(' ');\n me.s1 = mash(' ');\n me.s2 = mash(' ');\n me.s0 -= mash(seed);\n if (me.s0 < 0) { me.s0 += 1; }\n me.s1 -= mash(seed);\n if (me.s1 < 0) { me.s1 += 1; }\n me.s2 -= mash(seed);\n if (me.s2 < 0) { me.s2 += 1; }\n mash = null;\n}\n\nfunction copy(f, t) {\n t.c = f.c;\n t.s0 = f.s0;\n t.s1 = f.s1;\n t.s2 = f.s2;\n return t;\n}\n\nfunction impl(seed, opts) {\n var xg = new Alea(seed),\n state = opts && opts.state,\n prng = xg.next;\n prng.int32 = function() { return (xg.next() * 0x100000000) | 0; }\n prng.double = function() {\n return prng() + (prng() * 0x200000 | 0) * 1.1102230246251565e-16; // 2^-53\n };\n prng.quick = prng;\n if (state) {\n if (typeof(state) == 'object') copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nfunction Mash() {\n var n = 0xefc8249d;\n\n var mash = function(data) {\n data = data.toString();\n for (var i = 0; i < data.length; i++) {\n n += data.charCodeAt(i);\n var h = 0.02519603282416938 * n;\n n = h >>> 0;\n h -= n;\n h *= n;\n n = h >>> 0;\n h -= n;\n n += h * 0x100000000; // 2^32\n }\n return (n >>> 0) * 2.3283064365386963e-10; // 2^-32\n };\n\n return mash;\n}\n\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.alea = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n\n", "// A Javascript implementaion of the \"xor128\" prng algorithm by\n// George Marsaglia. See http://www.jstatsoft.org/v08/i14/paper\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this, strseed = '';\n\n me.x = 0;\n me.y = 0;\n me.z = 0;\n me.w = 0;\n\n // Set up generator function.\n me.next = function() {\n var t = me.x ^ (me.x << 11);\n me.x = me.y;\n me.y = me.z;\n me.z = me.w;\n return me.w ^= (me.w >>> 19) ^ t ^ (t >>> 8);\n };\n\n if (seed === (seed | 0)) {\n // Integer seed.\n me.x = seed;\n } else {\n // String seed.\n strseed += seed;\n }\n\n // Mix in string seed, then discard an initial batch of 64 values.\n for (var k = 0; k < strseed.length + 64; k++) {\n me.x ^= strseed.charCodeAt(k) | 0;\n me.next();\n }\n}\n\nfunction copy(f, t) {\n t.x = f.x;\n t.y = f.y;\n t.z = f.z;\n t.w = f.w;\n return t;\n}\n\nfunction impl(seed, opts) {\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (typeof(state) == 'object') copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.xor128 = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n\n", "// A Javascript implementaion of the \"xorwow\" prng algorithm by\n// George Marsaglia. See http://www.jstatsoft.org/v08/i14/paper\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this, strseed = '';\n\n // Set up generator function.\n me.next = function() {\n var t = (me.x ^ (me.x >>> 2));\n me.x = me.y; me.y = me.z; me.z = me.w; me.w = me.v;\n return (me.d = (me.d + 362437 | 0)) +\n (me.v = (me.v ^ (me.v << 4)) ^ (t ^ (t << 1))) | 0;\n };\n\n me.x = 0;\n me.y = 0;\n me.z = 0;\n me.w = 0;\n me.v = 0;\n\n if (seed === (seed | 0)) {\n // Integer seed.\n me.x = seed;\n } else {\n // String seed.\n strseed += seed;\n }\n\n // Mix in string seed, then discard an initial batch of 64 values.\n for (var k = 0; k < strseed.length + 64; k++) {\n me.x ^= strseed.charCodeAt(k) | 0;\n if (k == strseed.length) {\n me.d = me.x << 10 ^ me.x >>> 4;\n }\n me.next();\n }\n}\n\nfunction copy(f, t) {\n t.x = f.x;\n t.y = f.y;\n t.z = f.z;\n t.w = f.w;\n t.v = f.v;\n t.d = f.d;\n return t;\n}\n\nfunction impl(seed, opts) {\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (typeof(state) == 'object') copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.xorwow = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n\n", "// A Javascript implementaion of the \"xorshift7\" algorithm by\n// Fran\u00E7ois Panneton and Pierre L'ecuyer:\n// \"On the Xorgshift Random Number Generators\"\n// http://saluc.engr.uconn.edu/refs/crypto/rng/panneton05onthexorshift.pdf\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this;\n\n // Set up generator function.\n me.next = function() {\n // Update xor generator.\n var X = me.x, i = me.i, t, v, w;\n t = X[i]; t ^= (t >>> 7); v = t ^ (t << 24);\n t = X[(i + 1) & 7]; v ^= t ^ (t >>> 10);\n t = X[(i + 3) & 7]; v ^= t ^ (t >>> 3);\n t = X[(i + 4) & 7]; v ^= t ^ (t << 7);\n t = X[(i + 7) & 7]; t = t ^ (t << 13); v ^= t ^ (t << 9);\n X[i] = v;\n me.i = (i + 1) & 7;\n return v;\n };\n\n function init(me, seed) {\n var j, w, X = [];\n\n if (seed === (seed | 0)) {\n // Seed state array using a 32-bit integer.\n w = X[0] = seed;\n } else {\n // Seed state using a string.\n seed = '' + seed;\n for (j = 0; j < seed.length; ++j) {\n X[j & 7] = (X[j & 7] << 15) ^\n (seed.charCodeAt(j) + X[(j + 1) & 7] << 13);\n }\n }\n // Enforce an array length of 8, not all zeroes.\n while (X.length < 8) X.push(0);\n for (j = 0; j < 8 && X[j] === 0; ++j);\n if (j == 8) w = X[7] = -1; else w = X[j];\n\n me.x = X;\n me.i = 0;\n\n // Discard an initial 256 values.\n for (j = 256; j > 0; --j) {\n me.next();\n }\n }\n\n init(me, seed);\n}\n\nfunction copy(f, t) {\n t.x = f.x.slice();\n t.i = f.i;\n return t;\n}\n\nfunction impl(seed, opts) {\n if (seed == null) seed = +(new Date);\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (state.x) copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.xorshift7 = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n", "// A Javascript implementaion of Richard Brent's Xorgens xor4096 algorithm.\n//\n// This fast non-cryptographic random number generator is designed for\n// use in Monte-Carlo algorithms. It combines a long-period xorshift\n// generator with a Weyl generator, and it passes all common batteries\n// of stasticial tests for randomness while consuming only a few nanoseconds\n// for each prng generated. For background on the generator, see Brent's\n// paper: \"Some long-period random number generators using shifts and xors.\"\n// http://arxiv.org/pdf/1004.3115v1.pdf\n//\n// Usage:\n//\n// var xor4096 = require('xor4096');\n// random = xor4096(1); // Seed with int32 or string.\n// assert.equal(random(), 0.1520436450538547); // (0, 1) range, 53 bits.\n// assert.equal(random.int32(), 1806534897); // signed int32, 32 bits.\n//\n// For nonzero numeric keys, this impelementation provides a sequence\n// identical to that by Brent's xorgens 3 implementaion in C. This\n// implementation also provides for initalizing the generator with\n// string seeds, or for saving and restoring the state of the generator.\n//\n// On Chrome, this prng benchmarks about 2.1 times slower than\n// Javascript's built-in Math.random().\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this;\n\n // Set up generator function.\n me.next = function() {\n var w = me.w,\n X = me.X, i = me.i, t, v;\n // Update Weyl generator.\n me.w = w = (w + 0x61c88647) | 0;\n // Update xor generator.\n v = X[(i + 34) & 127];\n t = X[i = ((i + 1) & 127)];\n v ^= v << 13;\n t ^= t << 17;\n v ^= v >>> 15;\n t ^= t >>> 12;\n // Update Xor generator array state.\n v = X[i] = v ^ t;\n me.i = i;\n // Result is the combination.\n return (v + (w ^ (w >>> 16))) | 0;\n };\n\n function init(me, seed) {\n var t, v, i, j, w, X = [], limit = 128;\n if (seed === (seed | 0)) {\n // Numeric seeds initialize v, which is used to generates X.\n v = seed;\n seed = null;\n } else {\n // String seeds are mixed into v and X one character at a time.\n seed = seed + '\\0';\n v = 0;\n limit = Math.max(limit, seed.length);\n }\n // Initialize circular array and weyl value.\n for (i = 0, j = -32; j < limit; ++j) {\n // Put the unicode characters into the array, and shuffle them.\n if (seed) v ^= seed.charCodeAt((j + 32) % seed.length);\n // After 32 shuffles, take v as the starting w value.\n if (j === 0) w = v;\n v ^= v << 10;\n v ^= v >>> 15;\n v ^= v << 4;\n v ^= v >>> 13;\n if (j >= 0) {\n w = (w + 0x61c88647) | 0; // Weyl.\n t = (X[j & 127] ^= (v + w)); // Combine xor and weyl to init array.\n i = (0 == t) ? i + 1 : 0; // Count zeroes.\n }\n }\n // We have detected all zeroes; make the key nonzero.\n if (i >= 128) {\n X[(seed && seed.length || 0) & 127] = -1;\n }\n // Run the generator 512 times to further mix the state before using it.\n // Factoring this as a function slows the main generator, so it is just\n // unrolled here. The weyl generator is not advanced while warming up.\n i = 127;\n for (j = 4 * 128; j > 0; --j) {\n v = X[(i + 34) & 127];\n t = X[i = ((i + 1) & 127)];\n v ^= v << 13;\n t ^= t << 17;\n v ^= v >>> 15;\n t ^= t >>> 12;\n X[i] = v ^ t;\n }\n // Storing state as object members is faster than using closure variables.\n me.w = w;\n me.X = X;\n me.i = i;\n }\n\n init(me, seed);\n}\n\nfunction copy(f, t) {\n t.i = f.i;\n t.w = f.w;\n t.X = f.X.slice();\n return t;\n};\n\nfunction impl(seed, opts) {\n if (seed == null) seed = +(new Date);\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (state.X) copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.xor4096 = impl;\n}\n\n})(\n this, // window object or global\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n", "// A Javascript implementaion of the \"Tyche-i\" prng algorithm by\n// Samuel Neves and Filipe Araujo.\n// See https://eden.dei.uc.pt/~sneves/pubs/2011-snfa2.pdf\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this, strseed = '';\n\n // Set up generator function.\n me.next = function() {\n var b = me.b, c = me.c, d = me.d, a = me.a;\n b = (b << 25) ^ (b >>> 7) ^ c;\n c = (c - d) | 0;\n d = (d << 24) ^ (d >>> 8) ^ a;\n a = (a - b) | 0;\n me.b = b = (b << 20) ^ (b >>> 12) ^ c;\n me.c = c = (c - d) | 0;\n me.d = (d << 16) ^ (c >>> 16) ^ a;\n return me.a = (a - b) | 0;\n };\n\n /* The following is non-inverted tyche, which has better internal\n * bit diffusion, but which is about 25% slower than tyche-i in JS.\n me.next = function() {\n var a = me.a, b = me.b, c = me.c, d = me.d;\n a = (me.a + me.b | 0) >>> 0;\n d = me.d ^ a; d = d << 16 ^ d >>> 16;\n c = me.c + d | 0;\n b = me.b ^ c; b = b << 12 ^ d >>> 20;\n me.a = a = a + b | 0;\n d = d ^ a; me.d = d = d << 8 ^ d >>> 24;\n me.c = c = c + d | 0;\n b = b ^ c;\n return me.b = (b << 7 ^ b >>> 25);\n }\n */\n\n me.a = 0;\n me.b = 0;\n me.c = 2654435769 | 0;\n me.d = 1367130551;\n\n if (seed === Math.floor(seed)) {\n // Integer seed.\n me.a = (seed / 0x100000000) | 0;\n me.b = seed | 0;\n } else {\n // String seed.\n strseed += seed;\n }\n\n // Mix in string seed, then discard an initial batch of 64 values.\n for (var k = 0; k < strseed.length + 20; k++) {\n me.b ^= strseed.charCodeAt(k) | 0;\n me.next();\n }\n}\n\nfunction copy(f, t) {\n t.a = f.a;\n t.b = f.b;\n t.c = f.c;\n t.d = f.d;\n return t;\n};\n\nfunction impl(seed, opts) {\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (typeof(state) == 'object') copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.tychei = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n\n", "/*\nCopyright 2014 David Bau.\n\nPermission is hereby granted, free of charge, to any person obtaining\na copy of this software and associated documentation files (the\n\"Software\"), to deal in the Software without restriction, including\nwithout limitation the rights to use, copy, modify, merge, publish,\ndistribute, sublicense, and/or sell copies of the Software, and to\npermit persons to whom the Software is furnished to do so, subject to\nthe following conditions:\n\nThe above copyright notice and this permission notice shall be\nincluded in all copies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND,\nEXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF\nMERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.\nIN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY\nCLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,\nTORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE\nSOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.\n\n*/\n\n(function (pool, math) {\n//\n// The following constants are related to IEEE 754 limits.\n//\nvar global = this,\n width = 256, // each RC4 output is 0 <= x < 256\n chunks = 6, // at least six RC4 outputs for each double\n digits = 52, // there are 52 significant digits in a double\n rngname = 'random', // rngname: name for Math.random and Math.seedrandom\n startdenom = math.pow(width, chunks),\n significance = math.pow(2, digits),\n overflow = significance * 2,\n mask = width - 1,\n nodecrypto; // node.js crypto module, initialized at the bottom.\n\n//\n// seedrandom()\n// This is the seedrandom function described above.\n//\nfunction seedrandom(seed, options, callback) {\n var key = [];\n options = (options == true) ? { entropy: true } : (options || {});\n\n // Flatten the seed string or build one from local entropy if needed.\n var shortseed = mixkey(flatten(\n options.entropy ? [seed, tostring(pool)] :\n (seed == null) ? autoseed() : seed, 3), key);\n\n // Use the seed to initialize an ARC4 generator.\n var arc4 = new ARC4(key);\n\n // This function returns a random double in [0, 1) that contains\n // randomness in every bit of the mantissa of the IEEE 754 value.\n var prng = function() {\n var n = arc4.g(chunks), // Start with a numerator n < 2 ^ 48\n d = startdenom, // and denominator d = 2 ^ 48.\n x = 0; // and no 'extra last byte'.\n while (n < significance) { // Fill up all significant digits by\n n = (n + x) * width; // shifting numerator and\n d *= width; // denominator and generating a\n x = arc4.g(1); // new least-significant-byte.\n }\n while (n >= overflow) { // To avoid rounding up, before adding\n n /= 2; // last byte, shift everything\n d /= 2; // right using integer math until\n x >>>= 1; // we have exactly the desired bits.\n }\n return (n + x) / d; // Form the number within [0, 1).\n };\n\n prng.int32 = function() { return arc4.g(4) | 0; }\n prng.quick = function() { return arc4.g(4) / 0x100000000; }\n prng.double = prng;\n\n // Mix the randomness into accumulated entropy.\n mixkey(tostring(arc4.S), pool);\n\n // Calling convention: what to return as a function of prng, seed, is_math.\n return (options.pass || callback ||\n function(prng, seed, is_math_call, state) {\n if (state) {\n // Load the arc4 state from the given state if it has an S array.\n if (state.S) { copy(state, arc4); }\n // Only provide the .state method if requested via options.state.\n prng.state = function() { return copy(arc4, {}); }\n }\n\n // If called as a method of Math (Math.seedrandom()), mutate\n // Math.random because that is how seedrandom.js has worked since v1.0.\n if (is_math_call) { math[rngname] = prng; return seed; }\n\n // Otherwise, it is a newer calling convention, so return the\n // prng directly.\n else return prng;\n })(\n prng,\n shortseed,\n 'global' in options ? options.global : (this == math),\n options.state);\n}\nmath['seed' + rngname] = seedrandom;\n\n//\n// ARC4\n//\n// An ARC4 implementation. The constructor takes a key in the form of\n// an array of at most (width) integers that should be 0 <= x < (width).\n//\n// The g(count) method returns a pseudorandom integer that concatenates\n// the next (count) outputs from ARC4. Its return value is a number x\n// that is in the range 0 <= x < (width ^ count).\n//\nfunction ARC4(key) {\n var t, keylen = key.length,\n me = this, i = 0, j = me.i = me.j = 0, s = me.S = [];\n\n // The empty key [] is treated as [0].\n if (!keylen) { key = [keylen++]; }\n\n // Set up S using the standard key scheduling algorithm.\n while (i < width) {\n s[i] = i++;\n }\n for (i = 0; i < width; i++) {\n s[i] = s[j = mask & (j + key[i % keylen] + (t = s[i]))];\n s[j] = t;\n }\n\n // The \"g\" method returns the next (count) outputs as one number.\n (me.g = function(count) {\n // Using instance members instead of closure state nearly doubles speed.\n var t, r = 0,\n i = me.i, j = me.j, s = me.S;\n while (count--) {\n t = s[i = mask & (i + 1)];\n r = r * width + s[mask & ((s[i] = s[j = mask & (j + t)]) + (s[j] = t))];\n }\n me.i = i; me.j = j;\n return r;\n // For robust unpredictability, the function call below automatically\n // discards an initial batch of values. This is called RC4-drop[256].\n // See http://google.com/search?q=rsa+fluhrer+response&btnI\n })(width);\n}\n\n//\n// copy()\n// Copies internal state of ARC4 to or from a plain object.\n//\nfunction copy(f, t) {\n t.i = f.i;\n t.j = f.j;\n t.S = f.S.slice();\n return t;\n};\n\n//\n// flatten()\n// Converts an object tree to nested arrays of strings.\n//\nfunction flatten(obj, depth) {\n var result = [], typ = (typeof obj), prop;\n if (depth && typ == 'object') {\n for (prop in obj) {\n try { result.push(flatten(obj[prop], depth - 1)); } catch (e) {}\n }\n }\n return (result.length ? result : typ == 'string' ? obj : obj + '\\0');\n}\n\n//\n// mixkey()\n// Mixes a string seed into a key that is an array of integers, and\n// returns a shortened string seed that is equivalent to the result key.\n//\nfunction mixkey(seed, key) {\n var stringseed = seed + '', smear, j = 0;\n while (j < stringseed.length) {\n key[mask & j] =\n mask & ((smear ^= key[mask & j] * 19) + stringseed.charCodeAt(j++));\n }\n return tostring(key);\n}\n\n//\n// autoseed()\n// Returns an object for autoseeding, using window.crypto and Node crypto\n// module if available.\n//\nfunction autoseed() {\n try {\n var out;\n if (nodecrypto && (out = nodecrypto.randomBytes)) {\n // The use of 'out' to remember randomBytes makes tight minified code.\n out = out(width);\n } else {\n out = new Uint8Array(width);\n (global.crypto || global.msCrypto).getRandomValues(out);\n }\n return tostring(out);\n } catch (e) {\n var browser = global.navigator,\n plugins = browser && browser.plugins;\n return [+new Date, global, plugins, global.screen, tostring(pool)];\n }\n}\n\n//\n// tostring()\n// Converts an array of charcodes to a string\n//\nfunction tostring(a) {\n return String.fromCharCode.apply(0, a);\n}\n\n//\n// When seedrandom.js is loaded, we immediately mix a few bits\n// from the built-in RNG into the entropy pool. Because we do\n// not want to interfere with deterministic PRNG state later,\n// seedrandom will not call math.random on its own again after\n// initialization.\n//\nmixkey(math.random(), pool);\n\n//\n// Nodejs and AMD support: export the implementation as a module using\n// either convention.\n//\nif ((typeof module) == 'object' && module.exports) {\n module.exports = seedrandom;\n // When in node.js, try using crypto package for autoseeding.\n try {\n nodecrypto = require('crypto');\n } catch (ex) {}\n} else if ((typeof define) == 'function' && define.amd) {\n define(function() { return seedrandom; });\n}\n\n// End anonymous scope, and pass initial values.\n})(\n [], // pool: entropy pool starts empty\n Math // math: package containing random, pow, and seedrandom\n);\n", "// A library of seedable RNGs implemented in Javascript.\n//\n// Usage:\n//\n// var seedrandom = require('seedrandom');\n// var random = seedrandom(1); // or any seed.\n// var x = random(); // 0 <= x < 1. Every bit is random.\n// var x = random.quick(); // 0 <= x < 1. 32 bits of randomness.\n\n// alea, a 53-bit multiply-with-carry generator by Johannes Baag\u00F8e.\n// Period: ~2^116\n// Reported to pass all BigCrush tests.\nvar alea = require('./lib/alea');\n\n// xor128, a pure xor-shift generator by George Marsaglia.\n// Period: 2^128-1.\n// Reported to fail: MatrixRank and LinearComp.\nvar xor128 = require('./lib/xor128');\n\n// xorwow, George Marsaglia's 160-bit xor-shift combined plus weyl.\n// Period: 2^192-2^32\n// Reported to fail: CollisionOver, SimpPoker, and LinearComp.\nvar xorwow = require('./lib/xorwow');\n\n// xorshift7, by Fran\u00E7ois Panneton and Pierre L'ecuyer, takes\n// a different approach: it adds robustness by allowing more shifts\n// than Marsaglia's original three. It is a 7-shift generator\n// with 256 bits, that passes BigCrush with no systmatic failures.\n// Period 2^256-1.\n// No systematic BigCrush failures reported.\nvar xorshift7 = require('./lib/xorshift7');\n\n// xor4096, by Richard Brent, is a 4096-bit xor-shift with a\n// very long period that also adds a Weyl generator. It also passes\n// BigCrush with no systematic failures. Its long period may\n// be useful if you have many generators and need to avoid\n// collisions.\n// Period: 2^4128-2^32.\n// No systematic BigCrush failures reported.\nvar xor4096 = require('./lib/xor4096');\n\n// Tyche-i, by Samuel Neves and Filipe Araujo, is a bit-shifting random\n// number generator derived from ChaCha, a modern stream cipher.\n// https://eden.dei.uc.pt/~sneves/pubs/2011-snfa2.pdf\n// Period: ~2^127\n// No systematic BigCrush failures reported.\nvar tychei = require('./lib/tychei');\n\n// The original ARC4-based prng included in this library.\n// Period: ~2^1600\nvar sr = require('./seedrandom');\n\nsr.alea = alea;\nsr.xor128 = xor128;\nsr.xorwow = xorwow;\nsr.xorshift7 = xorshift7;\nsr.xor4096 = xor4096;\nsr.tychei = tychei;\n\nmodule.exports = sr;\n", "", "", "", "\nvar WasmBackendModuleThreadedSimd = (function() {\n var _scriptDir = typeof document !== 'undefined' && document.currentScript ? document.currentScript.src : undefined;\n if (typeof __filename !== 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xhr=new XMLHttpRequest;xhr.open(\"GET\",url,false);xhr.responseType=\"arraybuffer\";xhr.send(null);return new Uint8Array(xhr.response)}}readAsync=function readAsync(url,onload,onerror){var xhr=new XMLHttpRequest;xhr.open(\"GET\",url,true);xhr.responseType=\"arraybuffer\";xhr.onload=function xhr_onload(){if(xhr.status==200||xhr.status==0&&xhr.response){onload(xhr.response);return}onerror()};xhr.onerror=onerror;xhr.send(null)}}setWindowTitle=function(title){document.title=title}}else{}if(ENVIRONMENT_IS_NODE){if(typeof performance===\"undefined\"){performance=require(\"perf_hooks\").performance}}var out=Module[\"print\"]||console.log.bind(console);var err=Module[\"printErr\"]||console.warn.bind(console);for(key in moduleOverrides){if(moduleOverrides.hasOwnProperty(key)){Module[key]=moduleOverrides[key]}}moduleOverrides=null;if(Module[\"arguments\"])arguments_=Module[\"arguments\"];if(Module[\"thisProgram\"])thisProgram=Module[\"thisProgram\"];if(Module[\"quit\"])quit_=Module[\"quit\"];var Atomics_load=Atomics.load;var Atomics_store=Atomics.store;var Atomics_compareExchange=Atomics.compareExchange;var wasmBinary;if(Module[\"wasmBinary\"])wasmBinary=Module[\"wasmBinary\"];var noExitRuntime;if(Module[\"noExitRuntime\"])noExitRuntime=Module[\"noExitRuntime\"];if(typeof WebAssembly!==\"object\"){err(\"no native wasm support detected\")}var wasmMemory;var wasmTable=new WebAssembly.Table({\"initial\":171,\"maximum\":171+0,\"element\":\"anyfunc\"});var wasmModule;var threadInfoStruct=0;var selfThreadId=0;var ABORT=false;var EXITSTATUS=0;function assert(condition,text){if(!condition){abort(\"Assertion failed: \"+text)}}function getCFunc(ident){var func=Module[\"_\"+ident];assert(func,\"Cannot call unknown function \"+ident+\", make sure it is exported\");return func}function ccall(ident,returnType,argTypes,args,opts){var toC={\"string\":function(str){var ret=0;if(str!==null&&str!==undefined&&str!==0){var len=(str.length<<2)+1;ret=stackAlloc(len);stringToUTF8(str,ret,len)}return ret},\"array\":function(arr){var ret=stackAlloc(arr.length);writeArrayToMemory(arr,ret);return ret}};function convertReturnValue(ret){if(returnType===\"string\")return UTF8ToString(ret);if(returnType===\"boolean\")return Boolean(ret);return ret}var func=getCFunc(ident);var cArgs=[];var stack=0;if(args){for(var i=0;i=endIdx)){var u0=heap[idx++];if(!u0)return str;if(!(u0&128)){str+=String.fromCharCode(u0);continue}var u1=heap[idx++]&63;if((u0&224)==192){str+=String.fromCharCode((u0&31)<<6|u1);continue}var u2=heap[idx++]&63;if((u0&240)==224){u0=(u0&15)<<12|u1<<6|u2}else{u0=(u0&7)<<18|u1<<12|u2<<6|heap[idx++]&63}if(u0<65536){str+=String.fromCharCode(u0)}else{var ch=u0-65536;str+=String.fromCharCode(55296|ch>>10,56320|ch&1023)}}return str}function UTF8ToString(ptr,maxBytesToRead){return ptr?UTF8ArrayToString(GROWABLE_HEAP_U8(),ptr,maxBytesToRead):\"\"}function stringToUTF8Array(str,heap,outIdx,maxBytesToWrite){if(!(maxBytesToWrite>0))return 0;var startIdx=outIdx;var endIdx=outIdx+maxBytesToWrite-1;for(var i=0;i=55296&&u<=57343){var u1=str.charCodeAt(++i);u=65536+((u&1023)<<10)|u1&1023}if(u<=127){if(outIdx>=endIdx)break;heap[outIdx++]=u}else if(u<=2047){if(outIdx+1>=endIdx)break;heap[outIdx++]=192|u>>6;heap[outIdx++]=128|u&63}else if(u<=65535){if(outIdx+2>=endIdx)break;heap[outIdx++]=224|u>>12;heap[outIdx++]=128|u>>6&63;heap[outIdx++]=128|u&63}else{if(outIdx+3>=endIdx)break;heap[outIdx++]=240|u>>18;heap[outIdx++]=128|u>>12&63;heap[outIdx++]=128|u>>6&63;heap[outIdx++]=128|u&63}}heap[outIdx]=0;return outIdx-startIdx}function stringToUTF8(str,outPtr,maxBytesToWrite){return stringToUTF8Array(str,GROWABLE_HEAP_U8(),outPtr,maxBytesToWrite)}function lengthBytesUTF8(str){var len=0;for(var i=0;i=55296&&u<=57343)u=65536+((u&1023)<<10)|str.charCodeAt(++i)&1023;if(u<=127)++len;else if(u<=2047)len+=2;else if(u<=65535)len+=3;else len+=4}return len}function writeArrayToMemory(array,buffer){GROWABLE_HEAP_I8().set(array,buffer)}var WASM_PAGE_SIZE=65536;function alignUp(x,multiple){if(x%multiple>0){x+=multiple-x%multiple}return x}var buffer,HEAP8,HEAPU8,HEAP16,HEAPU16,HEAP32,HEAPU32,HEAPF32,HEAPF64;function updateGlobalBufferAndViews(buf){buffer=buf;Module[\"HEAP8\"]=HEAP8=new Int8Array(buf);Module[\"HEAP16\"]=HEAP16=new Int16Array(buf);Module[\"HEAP32\"]=HEAP32=new Int32Array(buf);Module[\"HEAPU8\"]=HEAPU8=new Uint8Array(buf);Module[\"HEAPU16\"]=HEAPU16=new Uint16Array(buf);Module[\"HEAPU32\"]=HEAPU32=new Uint32Array(buf);Module[\"HEAPF32\"]=HEAPF32=new Float32Array(buf);Module[\"HEAPF64\"]=HEAPF64=new Float64Array(buf)}var STACK_BASE=5256464,STACKTOP=STACK_BASE,STACK_MAX=13584,DYNAMIC_BASE=5256464,DYNAMICTOP_PTR=12656;if(ENVIRONMENT_IS_PTHREAD){}var INITIAL_INITIAL_MEMORY=Module[\"INITIAL_MEMORY\"]||16777216;if(ENVIRONMENT_IS_PTHREAD){wasmMemory=Module[\"wasmMemory\"];buffer=Module[\"buffer\"]}else{if(Module[\"wasmMemory\"]){wasmMemory=Module[\"wasmMemory\"]}else{wasmMemory=new WebAssembly.Memory({\"initial\":INITIAL_INITIAL_MEMORY/WASM_PAGE_SIZE,\"maximum\":2147483648/WASM_PAGE_SIZE,\"shared\":true});if(!(wasmMemory.buffer instanceof SharedArrayBuffer)){err(\"requested a shared WebAssembly.Memory but the returned buffer is not a SharedArrayBuffer, indicating that while the browser has SharedArrayBuffer it does not have WebAssembly threads support - you may need to set a flag\");if(ENVIRONMENT_IS_NODE){console.log(\"(on node you may need: --experimental-wasm-threads --experimental-wasm-bulk-memory and also use a recent version)\")}throw Error(\"bad memory\")}}}if(wasmMemory){buffer=wasmMemory.buffer}INITIAL_INITIAL_MEMORY=buffer.byteLength;updateGlobalBufferAndViews(buffer);if(!ENVIRONMENT_IS_PTHREAD){GROWABLE_HEAP_I32()[DYNAMICTOP_PTR>>2]=DYNAMIC_BASE}function callRuntimeCallbacks(callbacks){while(callbacks.length>0){var callback=callbacks.shift();if(typeof callback==\"function\"){callback(Module);continue}var func=callback.func;if(typeof func===\"number\"){if(callback.arg===undefined){Module[\"dynCall_v\"](func)}else{Module[\"dynCall_vi\"](func,callback.arg)}}else{func(callback.arg===undefined?null:callback.arg)}}}var __ATPRERUN__=[];var __ATINIT__=[];var __ATMAIN__=[];var __ATEXIT__=[];var __ATPOSTRUN__=[];var runtimeInitialized=false;if(ENVIRONMENT_IS_PTHREAD)runtimeInitialized=true;function preRun(){if(ENVIRONMENT_IS_PTHREAD)return;if(Module[\"preRun\"]){if(typeof Module[\"preRun\"]==\"function\")Module[\"preRun\"]=[Module[\"preRun\"]];while(Module[\"preRun\"].length){addOnPreRun(Module[\"preRun\"].shift())}}callRuntimeCallbacks(__ATPRERUN__)}function initRuntime(){runtimeInitialized=true;callRuntimeCallbacks(__ATINIT__)}function preMain(){if(ENVIRONMENT_IS_PTHREAD)return;callRuntimeCallbacks(__ATMAIN__)}function postRun(){if(ENVIRONMENT_IS_PTHREAD)return;if(Module[\"postRun\"]){if(typeof Module[\"postRun\"]==\"function\")Module[\"postRun\"]=[Module[\"postRun\"]];while(Module[\"postRun\"].length){addOnPostRun(Module[\"postRun\"].shift())}}callRuntimeCallbacks(__ATPOSTRUN__)}function addOnPreRun(cb){__ATPRERUN__.unshift(cb)}function addOnPostRun(cb){__ATPOSTRUN__.unshift(cb)}var Math_ceil=Math.ceil;var Math_floor=Math.floor;var runDependencies=0;var runDependencyWatcher=null;var dependenciesFulfilled=null;function addRunDependency(id){assert(!ENVIRONMENT_IS_PTHREAD,\"addRunDependency cannot be used in a pthread worker\");runDependencies++;if(Module[\"monitorRunDependencies\"]){Module[\"monitorRunDependencies\"](runDependencies)}}function removeRunDependency(id){runDependencies--;if(Module[\"monitorRunDependencies\"]){Module[\"monitorRunDependencies\"](runDependencies)}if(runDependencies==0){if(runDependencyWatcher!==null){clearInterval(runDependencyWatcher);runDependencyWatcher=null}if(dependenciesFulfilled){var callback=dependenciesFulfilled;dependenciesFulfilled=null;callback()}}}Module[\"preloadedImages\"]={};Module[\"preloadedAudios\"]={};function abort(what){if(Module[\"onAbort\"]){Module[\"onAbort\"](what)}if(ENVIRONMENT_IS_PTHREAD)console.error(\"Pthread aborting at \"+(new Error).stack);what+=\"\";out(what);err(what);ABORT=true;EXITSTATUS=1;what=\"abort(\"+what+\"). Build with -s ASSERTIONS=1 for more info.\";throw new WebAssembly.RuntimeError(what)}function hasPrefix(str,prefix){return String.prototype.startsWith?str.startsWith(prefix):str.indexOf(prefix)===0}var dataURIPrefix=\"data:application/octet-stream;base64,\";function isDataURI(filename){return hasPrefix(filename,dataURIPrefix)}var fileURIPrefix=\"file://\";function isFileURI(filename){return hasPrefix(filename,fileURIPrefix)}var wasmBinaryFile=\"tfjs-backend-wasm-threaded-simd.wasm\";if(!isDataURI(wasmBinaryFile)){wasmBinaryFile=locateFile(wasmBinaryFile)}function getBinary(){try{if(wasmBinary){return new Uint8Array(wasmBinary)}if(readBinary){return readBinary(wasmBinaryFile)}else{throw\"both async and sync fetching of the wasm failed\"}}catch(err){abort(err)}}function getBinaryPromise(){if(!wasmBinary&&(ENVIRONMENT_IS_WEB||ENVIRONMENT_IS_WORKER)&&typeof fetch===\"function\"&&!isFileURI(wasmBinaryFile)){return fetch(wasmBinaryFile,{credentials:\"same-origin\"}).then(function(response){if(!response[\"ok\"]){throw\"failed to load wasm binary file at '\"+wasmBinaryFile+\"'\"}return response[\"arrayBuffer\"]()}).catch(function(){return getBinary()})}return new Promise(function(resolve,reject){resolve(getBinary())})}function createWasm(){var info={\"a\":asmLibraryArg};function receiveInstance(instance,module){var exports=instance.exports;Module[\"asm\"]=exports;wasmModule=module;if(!ENVIRONMENT_IS_PTHREAD){var numWorkersToLoad=PThread.unusedWorkers.length;PThread.unusedWorkers.forEach(function(w){PThread.loadWasmModuleToWorker(w,function(){if(!--numWorkersToLoad)removeRunDependency(\"wasm-instantiate\")})})}}if(!ENVIRONMENT_IS_PTHREAD){addRunDependency(\"wasm-instantiate\")}function receiveInstantiatedSource(output){receiveInstance(output[\"instance\"],output[\"module\"])}function instantiateArrayBuffer(receiver){return getBinaryPromise().then(function(binary){return WebAssembly.instantiate(binary,info)}).then(receiver,function(reason){err(\"failed to asynchronously prepare wasm: \"+reason);abort(reason)})}function instantiateAsync(){if(!wasmBinary&&typeof WebAssembly.instantiateStreaming===\"function\"&&!isDataURI(wasmBinaryFile)&&!isFileURI(wasmBinaryFile)&&typeof fetch===\"function\"){fetch(wasmBinaryFile,{credentials:\"same-origin\"}).then(function(response){var result=WebAssembly.instantiateStreaming(response,info);return result.then(receiveInstantiatedSource,function(reason){err(\"wasm streaming compile failed: \"+reason);err(\"falling back to ArrayBuffer instantiation\");instantiateArrayBuffer(receiveInstantiatedSource)})})}else{return instantiateArrayBuffer(receiveInstantiatedSource)}}if(Module[\"instantiateWasm\"]){try{var exports=Module[\"instantiateWasm\"](info,receiveInstance);return exports}catch(e){err(\"Module.instantiateWasm callback failed with error: \"+e);return false}}instantiateAsync();return{}}var ASM_CONSTS={};function initPthreadsJS(){PThread.initRuntime()}if(!ENVIRONMENT_IS_PTHREAD)__ATINIT__.push({func:function(){___wasm_call_ctors()}});var __pthread_ptr=0;var __pthread_is_main_runtime_thread=0;var __pthread_is_main_browser_thread=0;function __register_pthread_ptr(pthreadPtr,isMainBrowserThread,isMainRuntimeThread){pthreadPtr=pthreadPtr|0;isMainBrowserThread=isMainBrowserThread|0;isMainRuntimeThread=isMainRuntimeThread|0;__pthread_ptr=pthreadPtr;__pthread_is_main_browser_thread=isMainBrowserThread;__pthread_is_main_runtime_thread=isMainRuntimeThread}Module[\"__register_pthread_ptr\"]=__register_pthread_ptr;var ERRNO_CODES={EPERM:63,ENOENT:44,ESRCH:71,EINTR:27,EIO:29,ENXIO:60,E2BIG:1,ENOEXEC:45,EBADF:8,ECHILD:12,EAGAIN:6,EWOULDBLOCK:6,ENOMEM:48,EACCES:2,EFAULT:21,ENOTBLK:105,EBUSY:10,EEXIST:20,EXDEV:75,ENODEV:43,ENOTDIR:54,EISDIR:31,EINVAL:28,ENFILE:41,EMFILE:33,ENOTTY:59,ETXTBSY:74,EFBIG:22,ENOSPC:51,ESPIPE:70,EROFS:69,EMLINK:34,EPIPE:64,EDOM:18,ERANGE:68,ENOMSG:49,EIDRM:24,ECHRNG:106,EL2NSYNC:156,EL3HLT:107,EL3RST:108,ELNRNG:109,EUNATCH:110,ENOCSI:111,EL2HLT:112,EDEADLK:16,ENOLCK:46,EBADE:113,EBADR:114,EXFULL:115,ENOANO:104,EBADRQC:103,EBADSLT:102,EDEADLOCK:16,EBFONT:101,ENOSTR:100,ENODATA:116,ETIME:117,ENOSR:118,ENONET:119,ENOPKG:120,EREMOTE:121,ENOLINK:47,EADV:122,ESRMNT:123,ECOMM:124,EPROTO:65,EMULTIHOP:36,EDOTDOT:125,EBADMSG:9,ENOTUNIQ:126,EBADFD:127,EREMCHG:128,ELIBACC:129,ELIBBAD:130,ELIBSCN:131,ELIBMAX:132,ELIBEXEC:133,ENOSYS:52,ENOTEMPTY:55,ENAMETOOLONG:37,ELOOP:32,EOPNOTSUPP:138,EPFNOSUPPORT:139,ECONNRESET:15,ENOBUFS:42,EAFNOSUPPORT:5,EPROTOTYPE:67,ENOTSOCK:57,ENOPROTOOPT:50,ESHUTDOWN:140,ECONNREFUSED:14,EADDRINUSE:3,ECONNABORTED:13,ENETUNREACH:40,ENETDOWN:38,ETIMEDOUT:73,EHOSTDOWN:142,EHOSTUNREACH:23,EINPROGRESS:26,EALREADY:7,EDESTADDRREQ:17,EMSGSIZE:35,EPROTONOSUPPORT:66,ESOCKTNOSUPPORT:137,EADDRNOTAVAIL:4,ENETRESET:39,EISCONN:30,ENOTCONN:53,ETOOMANYREFS:141,EUSERS:136,EDQUOT:19,ESTALE:72,ENOTSUP:138,ENOMEDIUM:148,EILSEQ:25,EOVERFLOW:61,ECANCELED:11,ENOTRECOVERABLE:56,EOWNERDEAD:62,ESTRPIPE:135};var __main_thread_futex_wait_address=13568;function _emscripten_futex_wake(addr,count){if(addr<=0||addr>GROWABLE_HEAP_I8().length||addr&3!=0||count<0)return-28;if(count==0)return 0;if(count>=2147483647)count=Infinity;var mainThreadWaitAddress=Atomics.load(GROWABLE_HEAP_I32(),__main_thread_futex_wait_address>>2);var mainThreadWoken=0;if(mainThreadWaitAddress==addr){var loadedAddr=Atomics.compareExchange(GROWABLE_HEAP_I32(),__main_thread_futex_wait_address>>2,mainThreadWaitAddress,0);if(loadedAddr==mainThreadWaitAddress){--count;mainThreadWoken=1;if(count<=0)return 1}}var ret=Atomics.notify(GROWABLE_HEAP_I32(),addr>>2,count);if(ret>=0)return ret+mainThreadWoken;throw\"Atomics.notify returned an unexpected value \"+ret}Module[\"_emscripten_futex_wake\"]=_emscripten_futex_wake;function __kill_thread(pthread_ptr){if(ENVIRONMENT_IS_PTHREAD)throw\"Internal Error! _kill_thread() can only ever be called from main application thread!\";if(!pthread_ptr)throw\"Internal Error! Null pthread_ptr in _kill_thread!\";GROWABLE_HEAP_I32()[pthread_ptr+12>>2]=0;var pthread=PThread.pthreads[pthread_ptr];pthread.worker.terminate();PThread.freeThreadData(pthread);PThread.runningWorkers.splice(PThread.runningWorkers.indexOf(pthread.worker),1);pthread.worker.pthread=undefined}function __cancel_thread(pthread_ptr){if(ENVIRONMENT_IS_PTHREAD)throw\"Internal Error! _cancel_thread() can only ever be called from main application thread!\";if(!pthread_ptr)throw\"Internal Error! Null pthread_ptr in _cancel_thread!\";var pthread=PThread.pthreads[pthread_ptr];pthread.worker.postMessage({\"cmd\":\"cancel\"})}function __cleanup_thread(pthread_ptr){if(ENVIRONMENT_IS_PTHREAD)throw\"Internal Error! _cleanup_thread() can only ever be called from main application thread!\";if(!pthread_ptr)throw\"Internal Error! Null pthread_ptr in _cleanup_thread!\";GROWABLE_HEAP_I32()[pthread_ptr+12>>2]=0;var pthread=PThread.pthreads[pthread_ptr];if(pthread){var worker=pthread.worker;PThread.returnWorkerToPool(worker)}}var PThread={MAIN_THREAD_ID:1,mainThreadInfo:{schedPolicy:0,schedPrio:0},unusedWorkers:[],runningWorkers:[],initRuntime:function(){__register_pthread_ptr(PThread.mainThreadBlock,!ENVIRONMENT_IS_WORKER,1);_emscripten_register_main_browser_thread_id(PThread.mainThreadBlock)},initMainThreadBlock:function(){var pthreadPoolSize=8;for(var i=0;i>2]=PThread.mainThreadBlock;var headPtr=PThread.mainThreadBlock+156;GROWABLE_HEAP_I32()[headPtr>>2]=headPtr;var tlsMemory=13056;for(var i=0;i<128;++i)GROWABLE_HEAP_U32()[tlsMemory/4+i]=0;Atomics.store(GROWABLE_HEAP_U32(),PThread.mainThreadBlock+104>>2,tlsMemory);Atomics.store(GROWABLE_HEAP_U32(),PThread.mainThreadBlock+40>>2,PThread.mainThreadBlock);Atomics.store(GROWABLE_HEAP_U32(),PThread.mainThreadBlock+44>>2,42)},initWorker:function(){},pthreads:{},exitHandlers:null,setThreadStatus:function(){},runExitHandlers:function(){if(PThread.exitHandlers!==null){while(PThread.exitHandlers.length>0){PThread.exitHandlers.pop()()}PThread.exitHandlers=null}if(ENVIRONMENT_IS_PTHREAD&&threadInfoStruct)___pthread_tsd_run_dtors()},threadExit:function(exitCode){var tb=_pthread_self();if(tb){Atomics.store(GROWABLE_HEAP_U32(),tb+4>>2,exitCode);Atomics.store(GROWABLE_HEAP_U32(),tb+0>>2,1);Atomics.store(GROWABLE_HEAP_U32(),tb+60>>2,1);Atomics.store(GROWABLE_HEAP_U32(),tb+64>>2,0);PThread.runExitHandlers();_emscripten_futex_wake(tb+0,2147483647);__register_pthread_ptr(0,0,0);threadInfoStruct=0;if(ENVIRONMENT_IS_PTHREAD){postMessage({\"cmd\":\"exit\"})}}},threadCancel:function(){PThread.runExitHandlers();Atomics.store(GROWABLE_HEAP_U32(),threadInfoStruct+4>>2,-1);Atomics.store(GROWABLE_HEAP_U32(),threadInfoStruct+0>>2,1);_emscripten_futex_wake(threadInfoStruct+0,2147483647);threadInfoStruct=selfThreadId=0;__register_pthread_ptr(0,0,0);postMessage({\"cmd\":\"cancelDone\"})},terminateAllThreads:function(){for(var t in PThread.pthreads){var pthread=PThread.pthreads[t];if(pthread&&pthread.worker){PThread.returnWorkerToPool(pthread.worker)}}PThread.pthreads={};for(var i=0;i>2];GROWABLE_HEAP_I32()[pthread.threadInfoStruct+104>>2]=0;_free(tlsMemory);_free(pthread.threadInfoStruct)}pthread.threadInfoStruct=0;if(pthread.allocatedOwnStack&&pthread.stackBase)_free(pthread.stackBase);pthread.stackBase=0;if(pthread.worker)pthread.worker.pthread=null},returnWorkerToPool:function(worker){delete PThread.pthreads[worker.pthread.thread];PThread.unusedWorkers.push(worker);PThread.runningWorkers.splice(PThread.runningWorkers.indexOf(worker),1);PThread.freeThreadData(worker.pthread);worker.pthread=undefined},receiveObjectTransfer:function(data){},loadWasmModuleToWorker:function(worker,onFinishedLoading){worker.onmessage=function(e){var d=e[\"data\"];var cmd=d[\"cmd\"];if(worker.pthread)PThread.currentProxiedOperationCallerThread=worker.pthread.threadInfoStruct;if(d[\"targetThread\"]&&d[\"targetThread\"]!=_pthread_self()){var thread=PThread.pthreads[d.targetThread];if(thread){thread.worker.postMessage(e.data,d[\"transferList\"])}else{console.error('Internal error! Worker sent a message \"'+cmd+'\" to target pthread '+d[\"targetThread\"]+\", but that thread no longer exists!\")}PThread.currentProxiedOperationCallerThread=undefined;return}if(cmd===\"processQueuedMainThreadWork\"){_emscripten_main_thread_process_queued_calls()}else if(cmd===\"spawnThread\"){__spawn_thread(e.data)}else if(cmd===\"cleanupThread\"){__cleanup_thread(d[\"thread\"])}else if(cmd===\"killThread\"){__kill_thread(d[\"thread\"])}else if(cmd===\"cancelThread\"){__cancel_thread(d[\"thread\"])}else if(cmd===\"loaded\"){worker.loaded=true;if(onFinishedLoading)onFinishedLoading(worker);if(worker.runPthread){worker.runPthread();delete worker.runPthread}}else if(cmd===\"print\"){out(\"Thread \"+d[\"threadId\"]+\": \"+d[\"text\"])}else if(cmd===\"printErr\"){err(\"Thread \"+d[\"threadId\"]+\": \"+d[\"text\"])}else if(cmd===\"alert\"){alert(\"Thread \"+d[\"threadId\"]+\": \"+d[\"text\"])}else if(cmd===\"exit\"){var detached=worker.pthread&&Atomics.load(GROWABLE_HEAP_U32(),worker.pthread.thread+68>>2);if(detached){PThread.returnWorkerToPool(worker)}}else if(cmd===\"cancelDone\"){PThread.returnWorkerToPool(worker)}else if(cmd===\"objectTransfer\"){PThread.receiveObjectTransfer(e.data)}else if(e.data.target===\"setimmediate\"){worker.postMessage(e.data)}else{err(\"worker sent an unknown command \"+cmd)}PThread.currentProxiedOperationCallerThread=undefined};worker.onerror=function(e){err(\"pthread sent an error! \"+e.filename+\":\"+e.lineno+\": \"+e.message)};if(ENVIRONMENT_IS_NODE){worker.on(\"message\",function(data){worker.onmessage({data:data})});worker.on(\"error\",function(data){worker.onerror(data)});worker.on(\"exit\",function(data){console.log(\"worker exited - TODO: update the worker queue?\")})}worker.postMessage({\"cmd\":\"load\",\"urlOrBlob\":Module[\"mainScriptUrlOrBlob\"]||_scriptDir,\"wasmMemory\":wasmMemory,\"wasmModule\":wasmModule,\"DYNAMIC_BASE\":DYNAMIC_BASE,\"DYNAMICTOP_PTR\":DYNAMICTOP_PTR})},allocateUnusedWorker:function(){var pthreadMainJs=locateFile(\"tfjs-backend-wasm-threaded-simd.worker.js\");PThread.unusedWorkers.push(new Worker(pthreadMainJs))},getNewWorker:function(){if(PThread.unusedWorkers.length==0){PThread.allocateUnusedWorker();PThread.loadWasmModuleToWorker(PThread.unusedWorkers[0])}if(PThread.unusedWorkers.length>0)return PThread.unusedWorkers.pop();else return null},busySpinWait:function(msecs){var t=performance.now()+msecs;while(performance.now()>2]=value;return value}function _atexit(func,arg){if(ENVIRONMENT_IS_PTHREAD)return _emscripten_proxy_to_main_thread_js(1,1,func,arg);__ATEXIT__.unshift({func:func,arg:arg})}function __emscripten_notify_thread_queue(targetThreadId,mainThreadId){if(targetThreadId==mainThreadId){postMessage({\"cmd\":\"processQueuedMainThreadWork\"})}else if(ENVIRONMENT_IS_PTHREAD){postMessage({\"targetThread\":targetThreadId,\"cmd\":\"processThreadQueue\"})}else{var pthread=PThread.pthreads[targetThreadId];var worker=pthread&&pthread.worker;if(!worker){return}worker.postMessage({\"cmd\":\"processThreadQueue\"})}return 1}function _abort(){abort()}function _emscripten_conditional_set_current_thread_status(expectedStatus,newStatus){expectedStatus=expectedStatus|0;newStatus=newStatus|0}function _emscripten_futex_wait(addr,val,timeout){if(addr<=0||addr>GROWABLE_HEAP_I8().length||addr&3!=0)return-28;if(ENVIRONMENT_IS_WORKER){var ret=Atomics.wait(GROWABLE_HEAP_I32(),addr>>2,val,timeout);if(ret===\"timed-out\")return-73;if(ret===\"not-equal\")return-6;if(ret===\"ok\")return 0;throw\"Atomics.wait returned an unexpected value \"+ret}else{var loadedVal=Atomics.load(GROWABLE_HEAP_I32(),addr>>2);if(val!=loadedVal)return-6;var tNow=performance.now();var tEnd=tNow+timeout;Atomics.store(GROWABLE_HEAP_I32(),__main_thread_futex_wait_address>>2,addr);var ourWaitAddress=addr;while(addr==ourWaitAddress){tNow=performance.now();if(tNow>tEnd){return-73}_emscripten_main_thread_process_queued_calls();addr=Atomics.load(GROWABLE_HEAP_I32(),__main_thread_futex_wait_address>>2)}return 0}}function _emscripten_is_main_browser_thread(){return __pthread_is_main_browser_thread|0}function _emscripten_is_main_runtime_thread(){return __pthread_is_main_runtime_thread|0}function _emscripten_memcpy_big(dest,src,num){GROWABLE_HEAP_U8().copyWithin(dest,src,src+num)}function _emscripten_num_logical_cores(){return navigator[\"hardwareConcurrency\"]}function _emscripten_proxy_to_main_thread_js(index,sync){var numCallArgs=arguments.length-2;var stack=stackSave();var args=stackAlloc(numCallArgs*8);var b=args>>3;for(var i=0;i>3]);buf+=8}else{buf=buf+3&~3;args.push(GROWABLE_HEAP_I32()[buf>>2]);buf+=4}}return args}function _emscripten_receive_on_main_thread_js(index,numCallArgs,args){_emscripten_receive_on_main_thread_js_callArgs.length=numCallArgs;var b=args>>3;for(var i=0;i>>16);updateGlobalBufferAndViews(wasmMemory.buffer);return 1}catch(e){}}function _emscripten_resize_heap(requestedSize){requestedSize=requestedSize>>>0;var oldSize=_emscripten_get_heap_size();if(requestedSize<=oldSize){return false}var PAGE_MULTIPLE=65536;var maxHeapSize=2147483648;if(requestedSize>maxHeapSize){return false}var minHeapSize=16777216;for(var cutDown=1;cutDown<=4;cutDown*=2){var overGrownHeapSize=oldSize*(1+.2/cutDown);overGrownHeapSize=Math.min(overGrownHeapSize,requestedSize+100663296);var newSize=Math.min(maxHeapSize,alignUp(Math.max(minHeapSize,requestedSize,overGrownHeapSize),PAGE_MULTIPLE));var replacement=emscripten_realloc_buffer(newSize);if(replacement){return true}}return false}var JSEvents={keyEvent:0,mouseEvent:0,wheelEvent:0,uiEvent:0,focusEvent:0,deviceOrientationEvent:0,deviceMotionEvent:0,fullscreenChangeEvent:0,pointerlockChangeEvent:0,visibilityChangeEvent:0,touchEvent:0,previousFullscreenElement:null,previousScreenX:null,previousScreenY:null,removeEventListenersRegistered:false,removeAllEventListeners:function(){for(var i=JSEvents.eventHandlers.length-1;i>=0;--i){JSEvents._removeHandler(i)}JSEvents.eventHandlers=[];JSEvents.deferredCalls=[]},registerRemoveEventListeners:function(){if(!JSEvents.removeEventListenersRegistered){__ATEXIT__.push(JSEvents.removeAllEventListeners);JSEvents.removeEventListenersRegistered=true}},deferredCalls:[],deferCall:function(targetFunction,precedence,argsList){function arraysHaveEqualContent(arrA,arrB){if(arrA.length!=arrB.length)return false;for(var i in arrA){if(arrA[i]!=arrB[i])return false}return true}for(var i in JSEvents.deferredCalls){var call=JSEvents.deferredCalls[i];if(call.targetFunction==targetFunction&&arraysHaveEqualContent(call.argsList,argsList)){return}}JSEvents.deferredCalls.push({targetFunction:targetFunction,precedence:precedence,argsList:argsList});JSEvents.deferredCalls.sort(function(x,y){return x.precedence>2]=eventTypeId;GROWABLE_HEAP_I32()[varargs+4>>2]=eventData;GROWABLE_HEAP_I32()[varargs+8>>2]=userData;_emscripten_async_queue_on_thread_(targetThread,637534208,eventHandlerFunc,eventData,varargs);stackRestore(stackTop)},getTargetThreadForEventCallback:function(targetThread){switch(targetThread){case 1:return 0;case 2:return PThread.currentProxiedOperationCallerThread;default:return targetThread}},getNodeNameForTarget:function(target){if(!target)return\"\";if(target==window)return\"#window\";if(target==screen)return\"#screen\";return target&&target.nodeName?target.nodeName:\"\"},fullscreenEnabled:function(){return document.fullscreenEnabled||document.webkitFullscreenEnabled}};function stringToNewUTF8(jsString){var length=lengthBytesUTF8(jsString)+1;var cString=_malloc(length);stringToUTF8(jsString,cString,length);return cString}function _emscripten_set_offscreencanvas_size_on_target_thread_js(targetThread,targetCanvas,width,height){var stackTop=stackSave();var varargs=stackAlloc(12);var targetCanvasPtr=0;if(targetCanvas){targetCanvasPtr=stringToNewUTF8(targetCanvas)}GROWABLE_HEAP_I32()[varargs>>2]=targetCanvasPtr;GROWABLE_HEAP_I32()[varargs+4>>2]=width;GROWABLE_HEAP_I32()[varargs+8>>2]=height;_emscripten_async_queue_on_thread_(targetThread,657457152,0,targetCanvasPtr,varargs);stackRestore(stackTop)}function _emscripten_set_offscreencanvas_size_on_target_thread(targetThread,targetCanvas,width,height){targetCanvas=targetCanvas?UTF8ToString(targetCanvas):\"\";_emscripten_set_offscreencanvas_size_on_target_thread_js(targetThread,targetCanvas,width,height)}function __maybeCStringToJsString(cString){return cString>2?UTF8ToString(cString):cString}var specialHTMLTargets=[0,typeof document!==\"undefined\"?document:0,typeof window!==\"undefined\"?window:0];function __findEventTarget(target){target=__maybeCStringToJsString(target);var domElement=specialHTMLTargets[target]||(typeof document!==\"undefined\"?document.querySelector(target):undefined);return domElement}function __findCanvasEventTarget(target){return __findEventTarget(target)}function _emscripten_set_canvas_element_size_calling_thread(target,width,height){var canvas=__findCanvasEventTarget(target);if(!canvas)return-4;if(canvas.canvasSharedPtr){GROWABLE_HEAP_I32()[canvas.canvasSharedPtr>>2]=width;GROWABLE_HEAP_I32()[canvas.canvasSharedPtr+4>>2]=height}if(canvas.offscreenCanvas||!canvas.controlTransferredOffscreen){if(canvas.offscreenCanvas)canvas=canvas.offscreenCanvas;var autoResizeViewport=false;if(canvas.GLctxObject&&canvas.GLctxObject.GLctx){var prevViewport=canvas.GLctxObject.GLctx.getParameter(2978);autoResizeViewport=prevViewport[0]===0&&prevViewport[1]===0&&prevViewport[2]===canvas.width&&prevViewport[3]===canvas.height}canvas.width=width;canvas.height=height;if(autoResizeViewport){canvas.GLctxObject.GLctx.viewport(0,0,width,height)}}else if(canvas.canvasSharedPtr){var targetThread=GROWABLE_HEAP_I32()[canvas.canvasSharedPtr+8>>2];_emscripten_set_offscreencanvas_size_on_target_thread(targetThread,target,width,height);return 1}else{return-4}return 0}function _emscripten_set_canvas_element_size_main_thread(target,width,height){if(ENVIRONMENT_IS_PTHREAD)return _emscripten_proxy_to_main_thread_js(2,1,target,width,height);return _emscripten_set_canvas_element_size_calling_thread(target,width,height)}function _emscripten_set_canvas_element_size(target,width,height){var canvas=__findCanvasEventTarget(target);if(canvas){return _emscripten_set_canvas_element_size_calling_thread(target,width,height)}else{return _emscripten_set_canvas_element_size_main_thread(target,width,height)}}function _emscripten_set_current_thread_status(newStatus){newStatus=newStatus|0}function _emscripten_set_thread_name(threadId,name){threadId=threadId|0;name=name|0}function __webgl_enable_ANGLE_instanced_arrays(ctx){var ext=ctx.getExtension(\"ANGLE_instanced_arrays\");if(ext){ctx[\"vertexAttribDivisor\"]=function(index,divisor){ext[\"vertexAttribDivisorANGLE\"](index,divisor)};ctx[\"drawArraysInstanced\"]=function(mode,first,count,primcount){ext[\"drawArraysInstancedANGLE\"](mode,first,count,primcount)};ctx[\"drawElementsInstanced\"]=function(mode,count,type,indices,primcount){ext[\"drawElementsInstancedANGLE\"](mode,count,type,indices,primcount)};return 1}}function __webgl_enable_OES_vertex_array_object(ctx){var ext=ctx.getExtension(\"OES_vertex_array_object\");if(ext){ctx[\"createVertexArray\"]=function(){return ext[\"createVertexArrayOES\"]()};ctx[\"deleteVertexArray\"]=function(vao){ext[\"deleteVertexArrayOES\"](vao)};ctx[\"bindVertexArray\"]=function(vao){ext[\"bindVertexArrayOES\"](vao)};ctx[\"isVertexArray\"]=function(vao){return ext[\"isVertexArrayOES\"](vao)};return 1}}function __webgl_enable_WEBGL_draw_buffers(ctx){var ext=ctx.getExtension(\"WEBGL_draw_buffers\");if(ext){ctx[\"drawBuffers\"]=function(n,bufs){ext[\"drawBuffersWEBGL\"](n,bufs)};return 1}}var GL={counter:1,lastError:0,buffers:[],mappedBuffers:{},programs:[],framebuffers:[],renderbuffers:[],textures:[],uniforms:[],shaders:[],vaos:[],contexts:{},currentContext:null,offscreenCanvases:{},timerQueriesEXT:[],programInfos:{},stringCache:{},unpackAlignment:4,init:function(){var miniTempFloatBuffer=new Float32Array(GL.MINI_TEMP_BUFFER_SIZE);for(var i=0;i>2]:-1;source+=UTF8ToString(GROWABLE_HEAP_I32()[string+i*4>>2],len<0?undefined:len)}return source},createContext:function(canvas,webGLContextAttributes){var ctx=canvas.getContext(\"webgl\",webGLContextAttributes);if(!ctx)return 0;var handle=GL.registerContext(ctx,webGLContextAttributes);return handle},registerContext:function(ctx,webGLContextAttributes){var handle=_malloc(8);GROWABLE_HEAP_I32()[handle+4>>2]=_pthread_self();var context={handle:handle,attributes:webGLContextAttributes,version:webGLContextAttributes.majorVersion,GLctx:ctx};if(ctx.canvas)ctx.canvas.GLctxObject=context;GL.contexts[handle]=context;if(typeof webGLContextAttributes.enableExtensionsByDefault===\"undefined\"||webGLContextAttributes.enableExtensionsByDefault){GL.initExtensions(context)}return handle},makeContextCurrent:function(contextHandle){GL.currentContext=GL.contexts[contextHandle];Module.ctx=GLctx=GL.currentContext&&GL.currentContext.GLctx;return!(contextHandle&&!GLctx)},getContext:function(contextHandle){return GL.contexts[contextHandle]},deleteContext:function(contextHandle){if(GL.currentContext===GL.contexts[contextHandle])GL.currentContext=null;if(typeof JSEvents===\"object\")JSEvents.removeAllHandlersOnTarget(GL.contexts[contextHandle].GLctx.canvas);if(GL.contexts[contextHandle]&&GL.contexts[contextHandle].GLctx.canvas)GL.contexts[contextHandle].GLctx.canvas.GLctxObject=undefined;_free(GL.contexts[contextHandle].handle);GL.contexts[contextHandle]=null},initExtensions:function(context){if(!context)context=GL.currentContext;if(context.initExtensionsDone)return;context.initExtensionsDone=true;var GLctx=context.GLctx;__webgl_enable_ANGLE_instanced_arrays(GLctx);__webgl_enable_OES_vertex_array_object(GLctx);__webgl_enable_WEBGL_draw_buffers(GLctx);GLctx.disjointTimerQueryExt=GLctx.getExtension(\"EXT_disjoint_timer_query\");var automaticallyEnabledExtensions=[\"OES_texture_float\",\"OES_texture_half_float\",\"OES_standard_derivatives\",\"OES_vertex_array_object\",\"WEBGL_compressed_texture_s3tc\",\"WEBGL_depth_texture\",\"OES_element_index_uint\",\"EXT_texture_filter_anisotropic\",\"EXT_frag_depth\",\"WEBGL_draw_buffers\",\"ANGLE_instanced_arrays\",\"OES_texture_float_linear\",\"OES_texture_half_float_linear\",\"EXT_blend_minmax\",\"EXT_shader_texture_lod\",\"EXT_texture_norm16\",\"WEBGL_compressed_texture_pvrtc\",\"EXT_color_buffer_half_float\",\"WEBGL_color_buffer_float\",\"EXT_sRGB\",\"WEBGL_compressed_texture_etc1\",\"EXT_disjoint_timer_query\",\"WEBGL_compressed_texture_etc\",\"WEBGL_compressed_texture_astc\",\"EXT_color_buffer_float\",\"WEBGL_compressed_texture_s3tc_srgb\",\"EXT_disjoint_timer_query_webgl2\",\"WEBKIT_WEBGL_compressed_texture_pvrtc\"];var exts=GLctx.getSupportedExtensions()||[];exts.forEach(function(ext){if(automaticallyEnabledExtensions.indexOf(ext)!=-1){GLctx.getExtension(ext)}})},populateUniformTable:function(program){var p=GL.programs[program];var ptable=GL.programInfos[program]={uniforms:{},maxUniformLength:0,maxAttributeLength:-1,maxUniformBlockNameLength:-1};var utable=ptable.uniforms;var numUniforms=GLctx.getProgramParameter(p,35718);for(var i=0;i>2;contextAttributes[\"alpha\"]=!!GROWABLE_HEAP_I32()[a+(0>>2)];contextAttributes[\"depth\"]=!!GROWABLE_HEAP_I32()[a+(4>>2)];contextAttributes[\"stencil\"]=!!GROWABLE_HEAP_I32()[a+(8>>2)];contextAttributes[\"antialias\"]=!!GROWABLE_HEAP_I32()[a+(12>>2)];contextAttributes[\"premultipliedAlpha\"]=!!GROWABLE_HEAP_I32()[a+(16>>2)];contextAttributes[\"preserveDrawingBuffer\"]=!!GROWABLE_HEAP_I32()[a+(20>>2)];var powerPreference=GROWABLE_HEAP_I32()[a+(24>>2)];contextAttributes[\"powerPreference\"]=__emscripten_webgl_power_preferences[powerPreference];contextAttributes[\"failIfMajorPerformanceCaveat\"]=!!GROWABLE_HEAP_I32()[a+(28>>2)];contextAttributes.majorVersion=GROWABLE_HEAP_I32()[a+(32>>2)];contextAttributes.minorVersion=GROWABLE_HEAP_I32()[a+(36>>2)];contextAttributes.enableExtensionsByDefault=GROWABLE_HEAP_I32()[a+(40>>2)];contextAttributes.explicitSwapControl=GROWABLE_HEAP_I32()[a+(44>>2)];contextAttributes.proxyContextToMainThread=GROWABLE_HEAP_I32()[a+(48>>2)];contextAttributes.renderViaOffscreenBackBuffer=GROWABLE_HEAP_I32()[a+(52>>2)];var canvas=__findCanvasEventTarget(target);if(!canvas){return-4}if(contextAttributes.explicitSwapControl){return-1}var contextHandle=GL.createContext(canvas,contextAttributes);return contextHandle}function _emscripten_webgl_create_context(a0,a1){return _emscripten_webgl_do_create_context(a0,a1)}var PATH={splitPath:function(filename){var splitPathRe=/^(\\/?|)([\\s\\S]*?)((?:\\.{1,2}|[^\\/]+?|)(\\.[^.\\/]*|))(?:[\\/]*)$/;return splitPathRe.exec(filename).slice(1)},normalizeArray:function(parts,allowAboveRoot){var up=0;for(var i=parts.length-1;i>=0;i--){var last=parts[i];if(last===\".\"){parts.splice(i,1)}else if(last===\"..\"){parts.splice(i,1);up++}else if(up){parts.splice(i,1);up--}}if(allowAboveRoot){for(;up;up--){parts.unshift(\"..\")}}return parts},normalize:function(path){var isAbsolute=path.charAt(0)===\"/\",trailingSlash=path.substr(-1)===\"/\";path=PATH.normalizeArray(path.split(\"/\").filter(function(p){return!!p}),!isAbsolute).join(\"/\");if(!path&&!isAbsolute){path=\".\"}if(path&&trailingSlash){path+=\"/\"}return(isAbsolute?\"/\":\"\")+path},dirname:function(path){var result=PATH.splitPath(path),root=result[0],dir=result[1];if(!root&&!dir){return\".\"}if(dir){dir=dir.substr(0,dir.length-1)}return root+dir},basename:function(path){if(path===\"/\")return\"/\";var lastSlash=path.lastIndexOf(\"/\");if(lastSlash===-1)return path;return path.substr(lastSlash+1)},extname:function(path){return PATH.splitPath(path)[3]},join:function(){var paths=Array.prototype.slice.call(arguments,0);return PATH.normalize(paths.join(\"/\"))},join2:function(l,r){return PATH.normalize(l+\"/\"+r)}};var SYSCALLS={mappings:{},buffers:[null,[],[]],printChar:function(stream,curr){var buffer=SYSCALLS.buffers[stream];if(curr===0||curr===10){(stream===1?out:err)(UTF8ArrayToString(buffer,0));buffer.length=0}else{buffer.push(curr)}},varargs:undefined,get:function(){SYSCALLS.varargs+=4;var ret=GROWABLE_HEAP_I32()[SYSCALLS.varargs-4>>2];return ret},getStr:function(ptr){var ret=UTF8ToString(ptr);return ret},get64:function(low,high){return low}};function _fd_close(fd){if(ENVIRONMENT_IS_PTHREAD)return _emscripten_proxy_to_main_thread_js(3,1,fd);return 0}function _fd_seek(fd,offset_low,offset_high,whence,newOffset){if(ENVIRONMENT_IS_PTHREAD)return _emscripten_proxy_to_main_thread_js(4,1,fd,offset_low,offset_high,whence,newOffset)}function _fd_write(fd,iov,iovcnt,pnum){if(ENVIRONMENT_IS_PTHREAD)return _emscripten_proxy_to_main_thread_js(5,1,fd,iov,iovcnt,pnum);var num=0;for(var i=0;i>2];var len=GROWABLE_HEAP_I32()[iov+(i*8+4)>>2];for(var j=0;j>2]=num;return 0}function _pthread_cleanup_pop(execute){var routine=PThread.exitHandlers.pop();if(execute)routine()}function _pthread_cleanup_push(routine,arg){if(PThread.exitHandlers===null){PThread.exitHandlers=[]}PThread.exitHandlers.push(function(){dynCall_vi(routine,arg)})}function __spawn_thread(threadParams){if(ENVIRONMENT_IS_PTHREAD)throw\"Internal Error! _spawn_thread() can only ever be called from main application thread!\";var worker=PThread.getNewWorker();if(worker.pthread!==undefined)throw\"Internal error!\";if(!threadParams.pthread_ptr)throw\"Internal error, no pthread ptr!\";PThread.runningWorkers.push(worker);var tlsMemory=_malloc(128*4);for(var i=0;i<128;++i){GROWABLE_HEAP_I32()[tlsMemory+i*4>>2]=0}var stackHigh=threadParams.stackBase+threadParams.stackSize;var pthread=PThread.pthreads[threadParams.pthread_ptr]={worker:worker,stackBase:threadParams.stackBase,stackSize:threadParams.stackSize,allocatedOwnStack:threadParams.allocatedOwnStack,thread:threadParams.pthread_ptr,threadInfoStruct:threadParams.pthread_ptr};var tis=pthread.threadInfoStruct>>2;Atomics.store(GROWABLE_HEAP_U32(),tis+(0>>2),0);Atomics.store(GROWABLE_HEAP_U32(),tis+(4>>2),0);Atomics.store(GROWABLE_HEAP_U32(),tis+(8>>2),0);Atomics.store(GROWABLE_HEAP_U32(),tis+(68>>2),threadParams.detached);Atomics.store(GROWABLE_HEAP_U32(),tis+(104>>2),tlsMemory);Atomics.store(GROWABLE_HEAP_U32(),tis+(48>>2),0);Atomics.store(GROWABLE_HEAP_U32(),tis+(40>>2),pthread.threadInfoStruct);Atomics.store(GROWABLE_HEAP_U32(),tis+(44>>2),42);Atomics.store(GROWABLE_HEAP_U32(),tis+(108>>2),threadParams.stackSize);Atomics.store(GROWABLE_HEAP_U32(),tis+(84>>2),threadParams.stackSize);Atomics.store(GROWABLE_HEAP_U32(),tis+(80>>2),stackHigh);Atomics.store(GROWABLE_HEAP_U32(),tis+(108+8>>2),stackHigh);Atomics.store(GROWABLE_HEAP_U32(),tis+(108+12>>2),threadParams.detached);Atomics.store(GROWABLE_HEAP_U32(),tis+(108+20>>2),threadParams.schedPolicy);Atomics.store(GROWABLE_HEAP_U32(),tis+(108+24>>2),threadParams.schedPrio);var global_libc=_emscripten_get_global_libc();var global_locale=global_libc+40;Atomics.store(GROWABLE_HEAP_U32(),tis+(176>>2),global_locale);worker.pthread=pthread;var msg={\"cmd\":\"run\",\"start_routine\":threadParams.startRoutine,\"arg\":threadParams.arg,\"threadInfoStruct\":threadParams.pthread_ptr,\"selfThreadId\":threadParams.pthread_ptr,\"parentThreadId\":threadParams.parent_pthread_ptr,\"stackBase\":threadParams.stackBase,\"stackSize\":threadParams.stackSize};worker.runPthread=function(){msg.time=performance.now();worker.postMessage(msg,threadParams.transferList)};if(worker.loaded){worker.runPthread();delete worker.runPthread}}function _pthread_getschedparam(thread,policy,schedparam){if(!policy&&!schedparam)return ERRNO_CODES.EINVAL;if(!thread){err(\"pthread_getschedparam called with a null thread pointer!\");return ERRNO_CODES.ESRCH}var self=GROWABLE_HEAP_I32()[thread+12>>2];if(self!==thread){err(\"pthread_getschedparam attempted on thread \"+thread+\", which does not point to a valid thread, or does not exist anymore!\");return ERRNO_CODES.ESRCH}var schedPolicy=Atomics.load(GROWABLE_HEAP_U32(),thread+108+20>>2);var schedPrio=Atomics.load(GROWABLE_HEAP_U32(),thread+108+24>>2);if(policy)GROWABLE_HEAP_I32()[policy>>2]=schedPolicy;if(schedparam)GROWABLE_HEAP_I32()[schedparam>>2]=schedPrio;return 0}function _pthread_self(){return __pthread_ptr|0}Module[\"_pthread_self\"]=_pthread_self;function _pthread_create(pthread_ptr,attr,start_routine,arg){if(typeof SharedArrayBuffer===\"undefined\"){err(\"Current environment does not support SharedArrayBuffer, pthreads are not available!\");return 6}if(!pthread_ptr){err(\"pthread_create called with a null thread pointer!\");return 28}var transferList=[];var error=0;if(ENVIRONMENT_IS_PTHREAD&&(transferList.length===0||error)){return _emscripten_sync_run_in_main_thread_4(687865856,pthread_ptr,attr,start_routine,arg)}if(error)return error;var stackSize=0;var stackBase=0;var detached=0;var schedPolicy=0;var schedPrio=0;if(attr){stackSize=GROWABLE_HEAP_I32()[attr>>2];stackSize+=81920;stackBase=GROWABLE_HEAP_I32()[attr+8>>2];detached=GROWABLE_HEAP_I32()[attr+12>>2]!==0;var inheritSched=GROWABLE_HEAP_I32()[attr+16>>2]===0;if(inheritSched){var prevSchedPolicy=GROWABLE_HEAP_I32()[attr+20>>2];var prevSchedPrio=GROWABLE_HEAP_I32()[attr+24>>2];var parentThreadPtr=PThread.currentProxiedOperationCallerThread?PThread.currentProxiedOperationCallerThread:_pthread_self();_pthread_getschedparam(parentThreadPtr,attr+20,attr+24);schedPolicy=GROWABLE_HEAP_I32()[attr+20>>2];schedPrio=GROWABLE_HEAP_I32()[attr+24>>2];GROWABLE_HEAP_I32()[attr+20>>2]=prevSchedPolicy;GROWABLE_HEAP_I32()[attr+24>>2]=prevSchedPrio}else{schedPolicy=GROWABLE_HEAP_I32()[attr+20>>2];schedPrio=GROWABLE_HEAP_I32()[attr+24>>2]}}else{stackSize=2097152}var allocatedOwnStack=stackBase==0;if(allocatedOwnStack){stackBase=_memalign(16,stackSize)}else{stackBase-=stackSize;assert(stackBase>0)}var threadInfoStruct=_malloc(232);for(var i=0;i<232>>2;++i)GROWABLE_HEAP_U32()[(threadInfoStruct>>2)+i]=0;GROWABLE_HEAP_I32()[pthread_ptr>>2]=threadInfoStruct;GROWABLE_HEAP_I32()[threadInfoStruct+12>>2]=threadInfoStruct;var headPtr=threadInfoStruct+156;GROWABLE_HEAP_I32()[headPtr>>2]=headPtr;var threadParams={stackBase:stackBase,stackSize:stackSize,allocatedOwnStack:allocatedOwnStack,schedPolicy:schedPolicy,schedPrio:schedPrio,detached:detached,startRoutine:start_routine,pthread_ptr:threadInfoStruct,parent_pthread_ptr:_pthread_self(),arg:arg,transferList:transferList};if(ENVIRONMENT_IS_PTHREAD){threadParams.cmd=\"spawnThread\";postMessage(threadParams,transferList)}else{__spawn_thread(threadParams)}return 0}function _roundf(d){d=+d;return d>=+0?+Math_floor(d+ +.5):+Math_ceil(d-+.5)}function _sysconf(name){if(ENVIRONMENT_IS_PTHREAD)return _emscripten_proxy_to_main_thread_js(6,1,name);switch(name){case 30:return 16384;case 85:var maxHeapSize=2147483648;return maxHeapSize/16384;case 132:case 133:case 12:case 137:case 138:case 15:case 235:case 16:case 17:case 18:case 19:case 20:case 149:case 13:case 10:case 236:case 153:case 9:case 21:case 22:case 159:case 154:case 14:case 77:case 78:case 139:case 80:case 81:case 82:case 68:case 67:case 164:case 11:case 29:case 47:case 48:case 95:case 52:case 51:case 46:case 79:return 200809;case 27:case 246:case 127:case 128:case 23:case 24:case 160:case 161:case 181:case 182:case 242:case 183:case 184:case 243:case 244:case 245:case 165:case 178:case 179:case 49:case 50:case 168:case 169:case 175:case 170:case 171:case 172:case 97:case 76:case 32:case 173:case 35:return-1;case 176:case 177:case 7:case 155:case 8:case 157:case 125:case 126:case 92:case 93:case 129:case 130:case 131:case 94:case 91:return 1;case 74:case 60:case 69:case 70:case 4:return 1024;case 31:case 42:case 72:return 32;case 87:case 26:case 33:return 2147483647;case 34:case 1:return 47839;case 38:case 36:return 99;case 43:case 37:return 2048;case 0:return 2097152;case 3:return 65536;case 28:return 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WasmBackendModuleThreadedSimd; });\n else if (typeof exports === 'object')\n exports[\"WasmBackendModuleThreadedSimd\"] = WasmBackendModuleThreadedSimd;\n ", "\nvar WasmBackendModule = (function() {\n var _scriptDir = typeof document !== 'undefined' && document.currentScript ? document.currentScript.src : undefined;\n if (typeof __filename !== 'undefined') _scriptDir = _scriptDir || __filename;\n return (\nfunction(WasmBackendModule) {\n WasmBackendModule = WasmBackendModule || {};\n\nvar Module=typeof WasmBackendModule!==\"undefined\"?WasmBackendModule:{};var moduleOverrides={};var key;for(key in Module){if(Module.hasOwnProperty(key)){moduleOverrides[key]=Module[key]}}var arguments_=[];var thisProgram=\"./this.program\";var quit_=function(status,toThrow){throw toThrow};var ENVIRONMENT_IS_WEB=false;var ENVIRONMENT_IS_WORKER=false;var ENVIRONMENT_IS_NODE=false;var ENVIRONMENT_IS_SHELL=false;ENVIRONMENT_IS_WEB=typeof window===\"object\";ENVIRONMENT_IS_WORKER=typeof importScripts===\"function\";ENVIRONMENT_IS_NODE=typeof process===\"object\"&&typeof process.versions===\"object\"&&typeof process.versions.node===\"string\";ENVIRONMENT_IS_SHELL=!ENVIRONMENT_IS_WEB&&!ENVIRONMENT_IS_NODE&&!ENVIRONMENT_IS_WORKER;var scriptDirectory=\"\";function locateFile(path){if(Module[\"locateFile\"]){return Module[\"locateFile\"](path,scriptDirectory)}return scriptDirectory+path}var read_,readAsync,readBinary,setWindowTitle;var nodeFS;var nodePath;if(ENVIRONMENT_IS_NODE){if(ENVIRONMENT_IS_WORKER){scriptDirectory=require(\"path\").dirname(scriptDirectory)+\"/\"}else{scriptDirectory=__dirname+\"/\"}read_=function shell_read(filename,binary){if(!nodeFS)nodeFS=require(\"fs\");if(!nodePath)nodePath=require(\"path\");filename=nodePath[\"normalize\"](filename);return nodeFS[\"readFileSync\"](filename,binary?null:\"utf8\")};readBinary=function readBinary(filename){var ret=read_(filename,true);if(!ret.buffer){ret=new Uint8Array(ret)}assert(ret.buffer);return ret};if(process[\"argv\"].length>1){thisProgram=process[\"argv\"][1].replace(/\\\\/g,\"/\")}arguments_=process[\"argv\"].slice(2);process[\"on\"](\"uncaughtException\",function(ex){if(!(ex instanceof ExitStatus)){throw ex}});process[\"on\"](\"unhandledRejection\",abort);quit_=function(status){process[\"exit\"](status)};Module[\"inspect\"]=function(){return\"[Emscripten Module object]\"}}else if(ENVIRONMENT_IS_SHELL){if(typeof read!=\"undefined\"){read_=function shell_read(f){return read(f)}}readBinary=function readBinary(f){var data;if(typeof readbuffer===\"function\"){return new Uint8Array(readbuffer(f))}data=read(f,\"binary\");assert(typeof data===\"object\");return data};if(typeof scriptArgs!=\"undefined\"){arguments_=scriptArgs}else if(typeof arguments!=\"undefined\"){arguments_=arguments}if(typeof quit===\"function\"){quit_=function(status){quit(status)}}if(typeof print!==\"undefined\"){if(typeof console===\"undefined\")console={};console.log=print;console.warn=console.error=typeof printErr!==\"undefined\"?printErr:print}}else if(ENVIRONMENT_IS_WEB||ENVIRONMENT_IS_WORKER){if(ENVIRONMENT_IS_WORKER){scriptDirectory=self.location.href}else if(document.currentScript){scriptDirectory=document.currentScript.src}if(_scriptDir){scriptDirectory=_scriptDir}if(scriptDirectory.indexOf(\"blob:\")!==0){scriptDirectory=scriptDirectory.substr(0,scriptDirectory.lastIndexOf(\"/\")+1)}else{scriptDirectory=\"\"}{read_=function shell_read(url){var xhr=new XMLHttpRequest;xhr.open(\"GET\",url,false);xhr.send(null);return xhr.responseText};if(ENVIRONMENT_IS_WORKER){readBinary=function readBinary(url){var xhr=new XMLHttpRequest;xhr.open(\"GET\",url,false);xhr.responseType=\"arraybuffer\";xhr.send(null);return new Uint8Array(xhr.response)}}readAsync=function readAsync(url,onload,onerror){var xhr=new XMLHttpRequest;xhr.open(\"GET\",url,true);xhr.responseType=\"arraybuffer\";xhr.onload=function xhr_onload(){if(xhr.status==200||xhr.status==0&&xhr.response){onload(xhr.response);return}onerror()};xhr.onerror=onerror;xhr.send(null)}}setWindowTitle=function(title){document.title=title}}else{}var out=Module[\"print\"]||console.log.bind(console);var err=Module[\"printErr\"]||console.warn.bind(console);for(key in moduleOverrides){if(moduleOverrides.hasOwnProperty(key)){Module[key]=moduleOverrides[key]}}moduleOverrides=null;if(Module[\"arguments\"])arguments_=Module[\"arguments\"];if(Module[\"thisProgram\"])thisProgram=Module[\"thisProgram\"];if(Module[\"quit\"])quit_=Module[\"quit\"];var wasmBinary;if(Module[\"wasmBinary\"])wasmBinary=Module[\"wasmBinary\"];var noExitRuntime;if(Module[\"noExitRuntime\"])noExitRuntime=Module[\"noExitRuntime\"];if(typeof WebAssembly!==\"object\"){err(\"no native wasm support detected\")}var wasmMemory;var wasmTable=new WebAssembly.Table({\"initial\":153,\"maximum\":153+0,\"element\":\"anyfunc\"});var ABORT=false;var EXITSTATUS=0;function assert(condition,text){if(!condition){abort(\"Assertion failed: \"+text)}}function getCFunc(ident){var func=Module[\"_\"+ident];assert(func,\"Cannot call unknown function \"+ident+\", make sure it is exported\");return func}function ccall(ident,returnType,argTypes,args,opts){var toC={\"string\":function(str){var ret=0;if(str!==null&&str!==undefined&&str!==0){var len=(str.length<<2)+1;ret=stackAlloc(len);stringToUTF8(str,ret,len)}return ret},\"array\":function(arr){var ret=stackAlloc(arr.length);writeArrayToMemory(arr,ret);return ret}};function convertReturnValue(ret){if(returnType===\"string\")return UTF8ToString(ret);if(returnType===\"boolean\")return Boolean(ret);return ret}var func=getCFunc(ident);var cArgs=[];var stack=0;if(args){for(var i=0;i=endIdx))++endPtr;if(endPtr-idx>16&&heap.subarray&&UTF8Decoder){return UTF8Decoder.decode(heap.subarray(idx,endPtr))}else{var str=\"\";while(idx>10,56320|ch&1023)}}}return str}function UTF8ToString(ptr,maxBytesToRead){return ptr?UTF8ArrayToString(HEAPU8,ptr,maxBytesToRead):\"\"}function stringToUTF8Array(str,heap,outIdx,maxBytesToWrite){if(!(maxBytesToWrite>0))return 0;var startIdx=outIdx;var endIdx=outIdx+maxBytesToWrite-1;for(var i=0;i=55296&&u<=57343){var u1=str.charCodeAt(++i);u=65536+((u&1023)<<10)|u1&1023}if(u<=127){if(outIdx>=endIdx)break;heap[outIdx++]=u}else if(u<=2047){if(outIdx+1>=endIdx)break;heap[outIdx++]=192|u>>6;heap[outIdx++]=128|u&63}else if(u<=65535){if(outIdx+2>=endIdx)break;heap[outIdx++]=224|u>>12;heap[outIdx++]=128|u>>6&63;heap[outIdx++]=128|u&63}else{if(outIdx+3>=endIdx)break;heap[outIdx++]=240|u>>18;heap[outIdx++]=128|u>>12&63;heap[outIdx++]=128|u>>6&63;heap[outIdx++]=128|u&63}}heap[outIdx]=0;return outIdx-startIdx}function stringToUTF8(str,outPtr,maxBytesToWrite){return stringToUTF8Array(str,HEAPU8,outPtr,maxBytesToWrite)}function writeArrayToMemory(array,buffer){HEAP8.set(array,buffer)}var buffer,HEAP8,HEAPU8,HEAP16,HEAPU16,HEAP32,HEAPU32,HEAPF32,HEAPF64;function updateGlobalBufferAndViews(buf){buffer=buf;Module[\"HEAP8\"]=HEAP8=new Int8Array(buf);Module[\"HEAP16\"]=HEAP16=new Int16Array(buf);Module[\"HEAP32\"]=HEAP32=new Int32Array(buf);Module[\"HEAPU8\"]=HEAPU8=new Uint8Array(buf);Module[\"HEAPU16\"]=HEAPU16=new Uint16Array(buf);Module[\"HEAPU32\"]=HEAPU32=new Uint32Array(buf);Module[\"HEAPF32\"]=HEAPF32=new Float32Array(buf);Module[\"HEAPF64\"]=HEAPF64=new Float64Array(buf)}var INITIAL_INITIAL_MEMORY=Module[\"INITIAL_MEMORY\"]||16777216;function callRuntimeCallbacks(callbacks){while(callbacks.length>0){var callback=callbacks.shift();if(typeof callback==\"function\"){callback(Module);continue}var func=callback.func;if(typeof func===\"number\"){if(callback.arg===undefined){Module[\"dynCall_v\"](func)}else{Module[\"dynCall_vi\"](func,callback.arg)}}else{func(callback.arg===undefined?null:callback.arg)}}}var __ATPRERUN__=[];var __ATINIT__=[];var __ATMAIN__=[];var __ATPOSTRUN__=[];var runtimeInitialized=false;var runtimeExited=false;function preRun(){if(Module[\"preRun\"]){if(typeof Module[\"preRun\"]==\"function\")Module[\"preRun\"]=[Module[\"preRun\"]];while(Module[\"preRun\"].length){addOnPreRun(Module[\"preRun\"].shift())}}callRuntimeCallbacks(__ATPRERUN__)}function initRuntime(){runtimeInitialized=true;callRuntimeCallbacks(__ATINIT__)}function preMain(){callRuntimeCallbacks(__ATMAIN__)}function exitRuntime(){runtimeExited=true}function postRun(){if(Module[\"postRun\"]){if(typeof Module[\"postRun\"]==\"function\")Module[\"postRun\"]=[Module[\"postRun\"]];while(Module[\"postRun\"].length){addOnPostRun(Module[\"postRun\"].shift())}}callRuntimeCallbacks(__ATPOSTRUN__)}function addOnPreRun(cb){__ATPRERUN__.unshift(cb)}function addOnPostRun(cb){__ATPOSTRUN__.unshift(cb)}var Math_ceil=Math.ceil;var Math_floor=Math.floor;var runDependencies=0;var runDependencyWatcher=null;var dependenciesFulfilled=null;function addRunDependency(id){runDependencies++;if(Module[\"monitorRunDependencies\"]){Module[\"monitorRunDependencies\"](runDependencies)}}function removeRunDependency(id){runDependencies--;if(Module[\"monitorRunDependencies\"]){Module[\"monitorRunDependencies\"](runDependencies)}if(runDependencies==0){if(runDependencyWatcher!==null){clearInterval(runDependencyWatcher);runDependencyWatcher=null}if(dependenciesFulfilled){var callback=dependenciesFulfilled;dependenciesFulfilled=null;callback()}}}Module[\"preloadedImages\"]={};Module[\"preloadedAudios\"]={};function abort(what){if(Module[\"onAbort\"]){Module[\"onAbort\"](what)}what+=\"\";out(what);err(what);ABORT=true;EXITSTATUS=1;what=\"abort(\"+what+\"). Build with -s ASSERTIONS=1 for more info.\";throw new WebAssembly.RuntimeError(what)}function hasPrefix(str,prefix){return String.prototype.startsWith?str.startsWith(prefix):str.indexOf(prefix)===0}var dataURIPrefix=\"data:application/octet-stream;base64,\";function isDataURI(filename){return hasPrefix(filename,dataURIPrefix)}var fileURIPrefix=\"file://\";function isFileURI(filename){return hasPrefix(filename,fileURIPrefix)}var wasmBinaryFile=\"tfjs-backend-wasm.wasm\";if(!isDataURI(wasmBinaryFile)){wasmBinaryFile=locateFile(wasmBinaryFile)}function getBinary(){try{if(wasmBinary){return new Uint8Array(wasmBinary)}if(readBinary){return readBinary(wasmBinaryFile)}else{throw\"both async and sync fetching of the wasm failed\"}}catch(err){abort(err)}}function getBinaryPromise(){if(!wasmBinary&&(ENVIRONMENT_IS_WEB||ENVIRONMENT_IS_WORKER)&&typeof fetch===\"function\"&&!isFileURI(wasmBinaryFile)){return fetch(wasmBinaryFile,{credentials:\"same-origin\"}).then(function(response){if(!response[\"ok\"]){throw\"failed to load wasm binary file at '\"+wasmBinaryFile+\"'\"}return response[\"arrayBuffer\"]()}).catch(function(){return getBinary()})}return new Promise(function(resolve,reject){resolve(getBinary())})}function createWasm(){var info={\"env\":asmLibraryArg,\"wasi_snapshot_preview1\":asmLibraryArg};function receiveInstance(instance,module){var exports=instance.exports;Module[\"asm\"]=exports;wasmMemory=exports[\"memory\"];updateGlobalBufferAndViews(wasmMemory.buffer);removeRunDependency(\"wasm-instantiate\")}addRunDependency(\"wasm-instantiate\");function receiveInstantiatedSource(output){receiveInstance(output[\"instance\"])}function instantiateArrayBuffer(receiver){return getBinaryPromise().then(function(binary){return WebAssembly.instantiate(binary,info)}).then(receiver,function(reason){err(\"failed to asynchronously prepare wasm: \"+reason);abort(reason)})}function instantiateAsync(){if(!wasmBinary&&typeof WebAssembly.instantiateStreaming===\"function\"&&!isDataURI(wasmBinaryFile)&&!isFileURI(wasmBinaryFile)&&typeof fetch===\"function\"){fetch(wasmBinaryFile,{credentials:\"same-origin\"}).then(function(response){var result=WebAssembly.instantiateStreaming(response,info);return result.then(receiveInstantiatedSource,function(reason){err(\"wasm streaming compile failed: \"+reason);err(\"falling back to ArrayBuffer instantiation\");instantiateArrayBuffer(receiveInstantiatedSource)})})}else{return instantiateArrayBuffer(receiveInstantiatedSource)}}if(Module[\"instantiateWasm\"]){try{var exports=Module[\"instantiateWasm\"](info,receiveInstance);return exports}catch(e){err(\"Module.instantiateWasm callback failed with error: \"+e);return false}}instantiateAsync();return{}}__ATINIT__.push();function _emscripten_notify_memory_growth(memoryIndex){updateGlobalBufferAndViews(wasmMemory.buffer)}var PATH={splitPath:function(filename){var splitPathRe=/^(\\/?|)([\\s\\S]*?)((?:\\.{1,2}|[^\\/]+?|)(\\.[^.\\/]*|))(?:[\\/]*)$/;return splitPathRe.exec(filename).slice(1)},normalizeArray:function(parts,allowAboveRoot){var up=0;for(var i=parts.length-1;i>=0;i--){var last=parts[i];if(last===\".\"){parts.splice(i,1)}else if(last===\"..\"){parts.splice(i,1);up++}else if(up){parts.splice(i,1);up--}}if(allowAboveRoot){for(;up;up--){parts.unshift(\"..\")}}return parts},normalize:function(path){var isAbsolute=path.charAt(0)===\"/\",trailingSlash=path.substr(-1)===\"/\";path=PATH.normalizeArray(path.split(\"/\").filter(function(p){return!!p}),!isAbsolute).join(\"/\");if(!path&&!isAbsolute){path=\".\"}if(path&&trailingSlash){path+=\"/\"}return(isAbsolute?\"/\":\"\")+path},dirname:function(path){var result=PATH.splitPath(path),root=result[0],dir=result[1];if(!root&&!dir){return\".\"}if(dir){dir=dir.substr(0,dir.length-1)}return root+dir},basename:function(path){if(path===\"/\")return\"/\";var lastSlash=path.lastIndexOf(\"/\");if(lastSlash===-1)return path;return path.substr(lastSlash+1)},extname:function(path){return PATH.splitPath(path)[3]},join:function(){var paths=Array.prototype.slice.call(arguments,0);return PATH.normalize(paths.join(\"/\"))},join2:function(l,r){return PATH.normalize(l+\"/\"+r)}};var SYSCALLS={mappings:{},buffers:[null,[],[]],printChar:function(stream,curr){var buffer=SYSCALLS.buffers[stream];if(curr===0||curr===10){(stream===1?out:err)(UTF8ArrayToString(buffer,0));buffer.length=0}else{buffer.push(curr)}},varargs:undefined,get:function(){SYSCALLS.varargs+=4;var ret=HEAP32[SYSCALLS.varargs-4>>2];return ret},getStr:function(ptr){var ret=UTF8ToString(ptr);return ret},get64:function(low,high){return low}};function _fd_close(fd){return 0}function _fd_seek(fd,offset_low,offset_high,whence,newOffset){}function _fd_write(fd,iov,iovcnt,pnum){var num=0;for(var i=0;i>2];var len=HEAP32[iov+(i*8+4)>>2];for(var j=0;j>2]=num;return 0}function _exit(status){exit(status)}function _proc_exit(code){_exit(code)}function _roundf(d){d=+d;return d>=+0?+Math_floor(d+ +.5):+Math_ceil(d-+.5)}var asmLibraryArg={\"emscripten_notify_memory_growth\":_emscripten_notify_memory_growth,\"fd_close\":_fd_close,\"fd_seek\":_fd_seek,\"fd_write\":_fd_write,\"proc_exit\":_proc_exit,\"roundf\":_roundf};var asm=createWasm();Module[\"asm\"]=asm;var _init=Module[\"_init\"]=function(){return(_init=Module[\"_init\"]=Module[\"asm\"][\"init\"]).apply(null,arguments)};var _register_tensor=Module[\"_register_tensor\"]=function(){return(_register_tensor=Module[\"_register_tensor\"]=Module[\"asm\"][\"register_tensor\"]).apply(null,arguments)};var _dispose_data=Module[\"_dispose_data\"]=function(){return(_dispose_data=Module[\"_dispose_data\"]=Module[\"asm\"][\"dispose_data\"]).apply(null,arguments)};var _dispose=Module[\"_dispose\"]=function(){return(_dispose=Module[\"_dispose\"]=Module[\"asm\"][\"dispose\"]).apply(null,arguments)};var _Abs=Module[\"_Abs\"]=function(){return(_Abs=Module[\"_Abs\"]=Module[\"asm\"][\"Abs\"]).apply(null,arguments)};var _Add=Module[\"_Add\"]=function(){return(_Add=Module[\"_Add\"]=Module[\"asm\"][\"Add\"]).apply(null,arguments)};var _AddN=Module[\"_AddN\"]=function(){return(_AddN=Module[\"_AddN\"]=Module[\"asm\"][\"AddN\"]).apply(null,arguments)};var _ArgMax=Module[\"_ArgMax\"]=function(){return(_ArgMax=Module[\"_ArgMax\"]=Module[\"asm\"][\"ArgMax\"]).apply(null,arguments)};var _AvgPool=Module[\"_AvgPool\"]=function(){return(_AvgPool=Module[\"_AvgPool\"]=Module[\"asm\"][\"AvgPool\"]).apply(null,arguments)};var _BatchMatMul=Module[\"_BatchMatMul\"]=function(){return(_BatchMatMul=Module[\"_BatchMatMul\"]=Module[\"asm\"][\"BatchMatMul\"]).apply(null,arguments)};var _Ceil=Module[\"_Ceil\"]=function(){return(_Ceil=Module[\"_Ceil\"]=Module[\"asm\"][\"Ceil\"]).apply(null,arguments)};var _ClipByValue=Module[\"_ClipByValue\"]=function(){return(_ClipByValue=Module[\"_ClipByValue\"]=Module[\"asm\"][\"ClipByValue\"]).apply(null,arguments)};var _Conv2D=Module[\"_Conv2D\"]=function(){return(_Conv2D=Module[\"_Conv2D\"]=Module[\"asm\"][\"Conv2D\"]).apply(null,arguments)};var _Conv2DBackpropInput=Module[\"_Conv2DBackpropInput\"]=function(){return(_Conv2DBackpropInput=Module[\"_Conv2DBackpropInput\"]=Module[\"asm\"][\"Conv2DBackpropInput\"]).apply(null,arguments)};var _Cos=Module[\"_Cos\"]=function(){return(_Cos=Module[\"_Cos\"]=Module[\"asm\"][\"Cos\"]).apply(null,arguments)};var _CropAndResize=Module[\"_CropAndResize\"]=function(){return(_CropAndResize=Module[\"_CropAndResize\"]=Module[\"asm\"][\"CropAndResize\"]).apply(null,arguments)};var _Cumsum=Module[\"_Cumsum\"]=function(){return(_Cumsum=Module[\"_Cumsum\"]=Module[\"asm\"][\"Cumsum\"]).apply(null,arguments)};var _DepthToSpace=Module[\"_DepthToSpace\"]=function(){return(_DepthToSpace=Module[\"_DepthToSpace\"]=Module[\"asm\"][\"DepthToSpace\"]).apply(null,arguments)};var _DepthwiseConv2dNative=Module[\"_DepthwiseConv2dNative\"]=function(){return(_DepthwiseConv2dNative=Module[\"_DepthwiseConv2dNative\"]=Module[\"asm\"][\"DepthwiseConv2dNative\"]).apply(null,arguments)};var _Equal=Module[\"_Equal\"]=function(){return(_Equal=Module[\"_Equal\"]=Module[\"asm\"][\"Equal\"]).apply(null,arguments)};var _Exp=Module[\"_Exp\"]=function(){return(_Exp=Module[\"_Exp\"]=Module[\"asm\"][\"Exp\"]).apply(null,arguments)};var _FlipLeftRight=Module[\"_FlipLeftRight\"]=function(){return(_FlipLeftRight=Module[\"_FlipLeftRight\"]=Module[\"asm\"][\"FlipLeftRight\"]).apply(null,arguments)};var _Floor=Module[\"_Floor\"]=function(){return(_Floor=Module[\"_Floor\"]=Module[\"asm\"][\"Floor\"]).apply(null,arguments)};var _FloorDiv=Module[\"_FloorDiv\"]=function(){return(_FloorDiv=Module[\"_FloorDiv\"]=Module[\"asm\"][\"FloorDiv\"]).apply(null,arguments)};var _FusedBatchNorm=Module[\"_FusedBatchNorm\"]=function(){return(_FusedBatchNorm=Module[\"_FusedBatchNorm\"]=Module[\"asm\"][\"FusedBatchNorm\"]).apply(null,arguments)};var _FusedConv2D=Module[\"_FusedConv2D\"]=function(){return(_FusedConv2D=Module[\"_FusedConv2D\"]=Module[\"asm\"][\"FusedConv2D\"]).apply(null,arguments)};var _FusedDepthwiseConv2D=Module[\"_FusedDepthwiseConv2D\"]=function(){return(_FusedDepthwiseConv2D=Module[\"_FusedDepthwiseConv2D\"]=Module[\"asm\"][\"FusedDepthwiseConv2D\"]).apply(null,arguments)};var _Gather=Module[\"_Gather\"]=function(){return(_Gather=Module[\"_Gather\"]=Module[\"asm\"][\"Gather\"]).apply(null,arguments)};var _GatherNd=Module[\"_GatherNd\"]=function(){return(_GatherNd=Module[\"_GatherNd\"]=Module[\"asm\"][\"GatherNd\"]).apply(null,arguments)};var _Greater=Module[\"_Greater\"]=function(){return(_Greater=Module[\"_Greater\"]=Module[\"asm\"][\"Greater\"]).apply(null,arguments)};var _GreaterEqual=Module[\"_GreaterEqual\"]=function(){return(_GreaterEqual=Module[\"_GreaterEqual\"]=Module[\"asm\"][\"GreaterEqual\"]).apply(null,arguments)};var _LeakyRelu=Module[\"_LeakyRelu\"]=function(){return(_LeakyRelu=Module[\"_LeakyRelu\"]=Module[\"asm\"][\"LeakyRelu\"]).apply(null,arguments)};var _Less=Module[\"_Less\"]=function(){return(_Less=Module[\"_Less\"]=Module[\"asm\"][\"Less\"]).apply(null,arguments)};var _LessEqual=Module[\"_LessEqual\"]=function(){return(_LessEqual=Module[\"_LessEqual\"]=Module[\"asm\"][\"LessEqual\"]).apply(null,arguments)};var _Log=Module[\"_Log\"]=function(){return(_Log=Module[\"_Log\"]=Module[\"asm\"][\"Log\"]).apply(null,arguments)};var _LogicalAnd=Module[\"_LogicalAnd\"]=function(){return(_LogicalAnd=Module[\"_LogicalAnd\"]=Module[\"asm\"][\"LogicalAnd\"]).apply(null,arguments)};var 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shouldRunNow=true;if(Module[\"noInitialRun\"])shouldRunNow=false;noExitRuntime=true;run();\n\n\n return WasmBackendModule\n}\n);\n})();\nif (typeof exports === 'object' && typeof module === 'object')\n module.exports = WasmBackendModule;\n else if (typeof define === 'function' && define['amd'])\n define([], function() { return WasmBackendModule; });\n else if (typeof exports === 'object')\n exports[\"WasmBackendModule\"] = WasmBackendModule;\n ", "// A port of an algorithm by Johannes Baag\u00F8e , 2010\n// http://baagoe.com/en/RandomMusings/javascript/\n// https://github.com/nquinlan/better-random-numbers-for-javascript-mirror\n// Original work is under MIT license -\n\n// Copyright (C) 2010 by Johannes Baag\u00F8e \n//\n// Permission is hereby granted, free of charge, to any person obtaining a copy\n// of this software and associated documentation files (the \"Software\"), to deal\n// in the Software without restriction, including without limitation the rights\n// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell\n// copies of the Software, and to permit persons to whom the Software is\n// furnished to do so, subject to the following conditions:\n//\n// The above copyright notice and this permission notice shall be included in\n// all copies or substantial portions of the Software.\n//\n// THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\n// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\n// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN\n// THE SOFTWARE.\n\n\n\n(function(global, module, define) {\n\nfunction Alea(seed) {\n var me = this, mash = Mash();\n\n me.next = function() {\n var t = 2091639 * me.s0 + me.c * 2.3283064365386963e-10; // 2^-32\n me.s0 = me.s1;\n me.s1 = me.s2;\n return me.s2 = t - (me.c = t | 0);\n };\n\n // Apply the seeding algorithm from Baagoe.\n me.c = 1;\n me.s0 = mash(' ');\n me.s1 = mash(' ');\n me.s2 = mash(' ');\n me.s0 -= mash(seed);\n if (me.s0 < 0) { me.s0 += 1; }\n me.s1 -= mash(seed);\n if (me.s1 < 0) { me.s1 += 1; }\n me.s2 -= mash(seed);\n if (me.s2 < 0) { me.s2 += 1; }\n mash = null;\n}\n\nfunction copy(f, t) {\n t.c = f.c;\n t.s0 = f.s0;\n t.s1 = f.s1;\n t.s2 = f.s2;\n return t;\n}\n\nfunction impl(seed, opts) {\n var xg = new Alea(seed),\n state = opts && opts.state,\n prng = xg.next;\n prng.int32 = function() { return (xg.next() * 0x100000000) | 0; }\n prng.double = function() {\n return prng() + (prng() * 0x200000 | 0) * 1.1102230246251565e-16; // 2^-53\n };\n prng.quick = prng;\n if (state) {\n if (typeof(state) == 'object') copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nfunction Mash() {\n var n = 0xefc8249d;\n\n var mash = function(data) {\n data = String(data);\n for (var i = 0; i < data.length; i++) {\n n += data.charCodeAt(i);\n var h = 0.02519603282416938 * n;\n n = h >>> 0;\n h -= n;\n h *= n;\n n = h >>> 0;\n h -= n;\n n += h * 0x100000000; // 2^32\n }\n return (n >>> 0) * 2.3283064365386963e-10; // 2^-32\n };\n\n return mash;\n}\n\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.alea = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n\n", "// A Javascript implementaion of the \"xor128\" prng algorithm by\n// George Marsaglia. See http://www.jstatsoft.org/v08/i14/paper\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this, strseed = '';\n\n me.x = 0;\n me.y = 0;\n me.z = 0;\n me.w = 0;\n\n // Set up generator function.\n me.next = function() {\n var t = me.x ^ (me.x << 11);\n me.x = me.y;\n me.y = me.z;\n me.z = me.w;\n return me.w ^= (me.w >>> 19) ^ t ^ (t >>> 8);\n };\n\n if (seed === (seed | 0)) {\n // Integer seed.\n me.x = seed;\n } else {\n // String seed.\n strseed += seed;\n }\n\n // Mix in string seed, then discard an initial batch of 64 values.\n for (var k = 0; k < strseed.length + 64; k++) {\n me.x ^= strseed.charCodeAt(k) | 0;\n me.next();\n }\n}\n\nfunction copy(f, t) {\n t.x = f.x;\n t.y = f.y;\n t.z = f.z;\n t.w = f.w;\n return t;\n}\n\nfunction impl(seed, opts) {\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (typeof(state) == 'object') copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.xor128 = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n\n", "// A Javascript implementaion of the \"xorwow\" prng algorithm by\n// George Marsaglia. See http://www.jstatsoft.org/v08/i14/paper\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this, strseed = '';\n\n // Set up generator function.\n me.next = function() {\n var t = (me.x ^ (me.x >>> 2));\n me.x = me.y; me.y = me.z; me.z = me.w; me.w = me.v;\n return (me.d = (me.d + 362437 | 0)) +\n (me.v = (me.v ^ (me.v << 4)) ^ (t ^ (t << 1))) | 0;\n };\n\n me.x = 0;\n me.y = 0;\n me.z = 0;\n me.w = 0;\n me.v = 0;\n\n if (seed === (seed | 0)) {\n // Integer seed.\n me.x = seed;\n } else {\n // String seed.\n strseed += seed;\n }\n\n // Mix in string seed, then discard an initial batch of 64 values.\n for (var k = 0; k < strseed.length + 64; k++) {\n me.x ^= strseed.charCodeAt(k) | 0;\n if (k == strseed.length) {\n me.d = me.x << 10 ^ me.x >>> 4;\n }\n me.next();\n }\n}\n\nfunction copy(f, t) {\n t.x = f.x;\n t.y = f.y;\n t.z = f.z;\n t.w = f.w;\n t.v = f.v;\n t.d = f.d;\n return t;\n}\n\nfunction impl(seed, opts) {\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (typeof(state) == 'object') copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.xorwow = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n\n", "// A Javascript implementaion of the \"xorshift7\" algorithm by\n// Fran\u00E7ois Panneton and Pierre L'ecuyer:\n// \"On the Xorgshift Random Number Generators\"\n// http://saluc.engr.uconn.edu/refs/crypto/rng/panneton05onthexorshift.pdf\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this;\n\n // Set up generator function.\n me.next = function() {\n // Update xor generator.\n var X = me.x, i = me.i, t, v, w;\n t = X[i]; t ^= (t >>> 7); v = t ^ (t << 24);\n t = X[(i + 1) & 7]; v ^= t ^ (t >>> 10);\n t = X[(i + 3) & 7]; v ^= t ^ (t >>> 3);\n t = X[(i + 4) & 7]; v ^= t ^ (t << 7);\n t = X[(i + 7) & 7]; t = t ^ (t << 13); v ^= t ^ (t << 9);\n X[i] = v;\n me.i = (i + 1) & 7;\n return v;\n };\n\n function init(me, seed) {\n var j, w, X = [];\n\n if (seed === (seed | 0)) {\n // Seed state array using a 32-bit integer.\n w = X[0] = seed;\n } else {\n // Seed state using a string.\n seed = '' + seed;\n for (j = 0; j < seed.length; ++j) {\n X[j & 7] = (X[j & 7] << 15) ^\n (seed.charCodeAt(j) + X[(j + 1) & 7] << 13);\n }\n }\n // Enforce an array length of 8, not all zeroes.\n while (X.length < 8) X.push(0);\n for (j = 0; j < 8 && X[j] === 0; ++j);\n if (j == 8) w = X[7] = -1; else w = X[j];\n\n me.x = X;\n me.i = 0;\n\n // Discard an initial 256 values.\n for (j = 256; j > 0; --j) {\n me.next();\n }\n }\n\n init(me, seed);\n}\n\nfunction copy(f, t) {\n t.x = f.x.slice();\n t.i = f.i;\n return t;\n}\n\nfunction impl(seed, opts) {\n if (seed == null) seed = +(new Date);\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (state.x) copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.xorshift7 = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n", "// A Javascript implementaion of Richard Brent's Xorgens xor4096 algorithm.\n//\n// This fast non-cryptographic random number generator is designed for\n// use in Monte-Carlo algorithms. It combines a long-period xorshift\n// generator with a Weyl generator, and it passes all common batteries\n// of stasticial tests for randomness while consuming only a few nanoseconds\n// for each prng generated. For background on the generator, see Brent's\n// paper: \"Some long-period random number generators using shifts and xors.\"\n// http://arxiv.org/pdf/1004.3115v1.pdf\n//\n// Usage:\n//\n// var xor4096 = require('xor4096');\n// random = xor4096(1); // Seed with int32 or string.\n// assert.equal(random(), 0.1520436450538547); // (0, 1) range, 53 bits.\n// assert.equal(random.int32(), 1806534897); // signed int32, 32 bits.\n//\n// For nonzero numeric keys, this impelementation provides a sequence\n// identical to that by Brent's xorgens 3 implementaion in C. This\n// implementation also provides for initalizing the generator with\n// string seeds, or for saving and restoring the state of the generator.\n//\n// On Chrome, this prng benchmarks about 2.1 times slower than\n// Javascript's built-in Math.random().\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this;\n\n // Set up generator function.\n me.next = function() {\n var w = me.w,\n X = me.X, i = me.i, t, v;\n // Update Weyl generator.\n me.w = w = (w + 0x61c88647) | 0;\n // Update xor generator.\n v = X[(i + 34) & 127];\n t = X[i = ((i + 1) & 127)];\n v ^= v << 13;\n t ^= t << 17;\n v ^= v >>> 15;\n t ^= t >>> 12;\n // Update Xor generator array state.\n v = X[i] = v ^ t;\n me.i = i;\n // Result is the combination.\n return (v + (w ^ (w >>> 16))) | 0;\n };\n\n function init(me, seed) {\n var t, v, i, j, w, X = [], limit = 128;\n if (seed === (seed | 0)) {\n // Numeric seeds initialize v, which is used to generates X.\n v = seed;\n seed = null;\n } else {\n // String seeds are mixed into v and X one character at a time.\n seed = seed + '\\0';\n v = 0;\n limit = Math.max(limit, seed.length);\n }\n // Initialize circular array and weyl value.\n for (i = 0, j = -32; j < limit; ++j) {\n // Put the unicode characters into the array, and shuffle them.\n if (seed) v ^= seed.charCodeAt((j + 32) % seed.length);\n // After 32 shuffles, take v as the starting w value.\n if (j === 0) w = v;\n v ^= v << 10;\n v ^= v >>> 15;\n v ^= v << 4;\n v ^= v >>> 13;\n if (j >= 0) {\n w = (w + 0x61c88647) | 0; // Weyl.\n t = (X[j & 127] ^= (v + w)); // Combine xor and weyl to init array.\n i = (0 == t) ? i + 1 : 0; // Count zeroes.\n }\n }\n // We have detected all zeroes; make the key nonzero.\n if (i >= 128) {\n X[(seed && seed.length || 0) & 127] = -1;\n }\n // Run the generator 512 times to further mix the state before using it.\n // Factoring this as a function slows the main generator, so it is just\n // unrolled here. The weyl generator is not advanced while warming up.\n i = 127;\n for (j = 4 * 128; j > 0; --j) {\n v = X[(i + 34) & 127];\n t = X[i = ((i + 1) & 127)];\n v ^= v << 13;\n t ^= t << 17;\n v ^= v >>> 15;\n t ^= t >>> 12;\n X[i] = v ^ t;\n }\n // Storing state as object members is faster than using closure variables.\n me.w = w;\n me.X = X;\n me.i = i;\n }\n\n init(me, seed);\n}\n\nfunction copy(f, t) {\n t.i = f.i;\n t.w = f.w;\n t.X = f.X.slice();\n return t;\n};\n\nfunction impl(seed, opts) {\n if (seed == null) seed = +(new Date);\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (state.X) copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.xor4096 = impl;\n}\n\n})(\n this, // window object or global\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n", "// A Javascript implementaion of the \"Tyche-i\" prng algorithm by\n// Samuel Neves and Filipe Araujo.\n// See https://eden.dei.uc.pt/~sneves/pubs/2011-snfa2.pdf\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this, strseed = '';\n\n // Set up generator function.\n me.next = function() {\n var b = me.b, c = me.c, d = me.d, a = me.a;\n b = (b << 25) ^ (b >>> 7) ^ c;\n c = (c - d) | 0;\n d = (d << 24) ^ (d >>> 8) ^ a;\n a = (a - b) | 0;\n me.b = b = (b << 20) ^ (b >>> 12) ^ c;\n me.c = c = (c - d) | 0;\n me.d = (d << 16) ^ (c >>> 16) ^ a;\n return me.a = (a - b) | 0;\n };\n\n /* The following is non-inverted tyche, which has better internal\n * bit diffusion, but which is about 25% slower than tyche-i in JS.\n me.next = function() {\n var a = me.a, b = me.b, c = me.c, d = me.d;\n a = (me.a + me.b | 0) >>> 0;\n d = me.d ^ a; d = d << 16 ^ d >>> 16;\n c = me.c + d | 0;\n b = me.b ^ c; b = b << 12 ^ d >>> 20;\n me.a = a = a + b | 0;\n d = d ^ a; me.d = d = d << 8 ^ d >>> 24;\n me.c = c = c + d | 0;\n b = b ^ c;\n return me.b = (b << 7 ^ b >>> 25);\n }\n */\n\n me.a = 0;\n me.b = 0;\n me.c = 2654435769 | 0;\n me.d = 1367130551;\n\n if (seed === Math.floor(seed)) {\n // Integer seed.\n me.a = (seed / 0x100000000) | 0;\n me.b = seed | 0;\n } else {\n // String seed.\n strseed += seed;\n }\n\n // Mix in string seed, then discard an initial batch of 64 values.\n for (var k = 0; k < strseed.length + 20; k++) {\n me.b ^= strseed.charCodeAt(k) | 0;\n me.next();\n }\n}\n\nfunction copy(f, t) {\n t.a = f.a;\n t.b = f.b;\n t.c = f.c;\n t.d = f.d;\n return t;\n};\n\nfunction impl(seed, opts) {\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (typeof(state) == 'object') copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.tychei = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n\n", "/*\nCopyright 2019 David Bau.\n\nPermission is hereby granted, free of charge, to any person obtaining\na copy of this software and associated documentation files (the\n\"Software\"), to deal in the Software without restriction, including\nwithout limitation the rights to use, copy, modify, merge, publish,\ndistribute, sublicense, and/or sell copies of the Software, and to\npermit persons to whom the Software is furnished to do so, subject to\nthe following conditions:\n\nThe above copyright notice and this permission notice shall be\nincluded in all copies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND,\nEXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF\nMERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.\nIN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY\nCLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,\nTORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE\nSOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.\n\n*/\n\n(function (global, pool, math) {\n//\n// The following constants are related to IEEE 754 limits.\n//\n\nvar width = 256, // each RC4 output is 0 <= x < 256\n chunks = 6, // at least six RC4 outputs for each double\n digits = 52, // there are 52 significant digits in a double\n rngname = 'random', // rngname: name for Math.random and Math.seedrandom\n startdenom = math.pow(width, chunks),\n significance = math.pow(2, digits),\n overflow = significance * 2,\n mask = width - 1,\n nodecrypto; // node.js crypto module, initialized at the bottom.\n\n//\n// seedrandom()\n// This is the seedrandom function described above.\n//\nfunction seedrandom(seed, options, callback) {\n var key = [];\n options = (options == true) ? { entropy: true } : (options || {});\n\n // Flatten the seed string or build one from local entropy if needed.\n var shortseed = mixkey(flatten(\n options.entropy ? [seed, tostring(pool)] :\n (seed == null) ? autoseed() : seed, 3), key);\n\n // Use the seed to initialize an ARC4 generator.\n var arc4 = new ARC4(key);\n\n // This function returns a random double in [0, 1) that contains\n // randomness in every bit of the mantissa of the IEEE 754 value.\n var prng = function() {\n var n = arc4.g(chunks), // Start with a numerator n < 2 ^ 48\n d = startdenom, // and denominator d = 2 ^ 48.\n x = 0; // and no 'extra last byte'.\n while (n < significance) { // Fill up all significant digits by\n n = (n + x) * width; // shifting numerator and\n d *= width; // denominator and generating a\n x = arc4.g(1); // new least-significant-byte.\n }\n while (n >= overflow) { // To avoid rounding up, before adding\n n /= 2; // last byte, shift everything\n d /= 2; // right using integer math until\n x >>>= 1; // we have exactly the desired bits.\n }\n return (n + x) / d; // Form the number within [0, 1).\n };\n\n prng.int32 = function() { return arc4.g(4) | 0; }\n prng.quick = function() { return arc4.g(4) / 0x100000000; }\n prng.double = prng;\n\n // Mix the randomness into accumulated entropy.\n mixkey(tostring(arc4.S), pool);\n\n // Calling convention: what to return as a function of prng, seed, is_math.\n return (options.pass || callback ||\n function(prng, seed, is_math_call, state) {\n if (state) {\n // Load the arc4 state from the given state if it has an S array.\n if (state.S) { copy(state, arc4); }\n // Only provide the .state method if requested via options.state.\n prng.state = function() { return copy(arc4, {}); }\n }\n\n // If called as a method of Math (Math.seedrandom()), mutate\n // Math.random because that is how seedrandom.js has worked since v1.0.\n if (is_math_call) { math[rngname] = prng; return seed; }\n\n // Otherwise, it is a newer calling convention, so return the\n // prng directly.\n else return prng;\n })(\n prng,\n shortseed,\n 'global' in options ? options.global : (this == math),\n options.state);\n}\n\n//\n// ARC4\n//\n// An ARC4 implementation. The constructor takes a key in the form of\n// an array of at most (width) integers that should be 0 <= x < (width).\n//\n// The g(count) method returns a pseudorandom integer that concatenates\n// the next (count) outputs from ARC4. Its return value is a number x\n// that is in the range 0 <= x < (width ^ count).\n//\nfunction ARC4(key) {\n var t, keylen = key.length,\n me = this, i = 0, j = me.i = me.j = 0, s = me.S = [];\n\n // The empty key [] is treated as [0].\n if (!keylen) { key = [keylen++]; }\n\n // Set up S using the standard key scheduling algorithm.\n while (i < width) {\n s[i] = i++;\n }\n for (i = 0; i < width; i++) {\n s[i] = s[j = mask & (j + key[i % keylen] + (t = s[i]))];\n s[j] = t;\n }\n\n // The \"g\" method returns the next (count) outputs as one number.\n (me.g = function(count) {\n // Using instance members instead of closure state nearly doubles speed.\n var t, r = 0,\n i = me.i, j = me.j, s = me.S;\n while (count--) {\n t = s[i = mask & (i + 1)];\n r = r * width + s[mask & ((s[i] = s[j = mask & (j + t)]) + (s[j] = t))];\n }\n me.i = i; me.j = j;\n return r;\n // For robust unpredictability, the function call below automatically\n // discards an initial batch of values. This is called RC4-drop[256].\n // See http://google.com/search?q=rsa+fluhrer+response&btnI\n })(width);\n}\n\n//\n// copy()\n// Copies internal state of ARC4 to or from a plain object.\n//\nfunction copy(f, t) {\n t.i = f.i;\n t.j = f.j;\n t.S = f.S.slice();\n return t;\n};\n\n//\n// flatten()\n// Converts an object tree to nested arrays of strings.\n//\nfunction flatten(obj, depth) {\n var result = [], typ = (typeof obj), prop;\n if (depth && typ == 'object') {\n for (prop in obj) {\n try { result.push(flatten(obj[prop], depth - 1)); } catch (e) {}\n }\n }\n return (result.length ? result : typ == 'string' ? obj : obj + '\\0');\n}\n\n//\n// mixkey()\n// Mixes a string seed into a key that is an array of integers, and\n// returns a shortened string seed that is equivalent to the result key.\n//\nfunction mixkey(seed, key) {\n var stringseed = seed + '', smear, j = 0;\n while (j < stringseed.length) {\n key[mask & j] =\n mask & ((smear ^= key[mask & j] * 19) + stringseed.charCodeAt(j++));\n }\n return tostring(key);\n}\n\n//\n// autoseed()\n// Returns an object for autoseeding, using window.crypto and Node crypto\n// module if available.\n//\nfunction autoseed() {\n try {\n var out;\n if (nodecrypto && (out = nodecrypto.randomBytes)) {\n // The use of 'out' to remember randomBytes makes tight minified code.\n out = out(width);\n } else {\n out = new Uint8Array(width);\n (global.crypto || global.msCrypto).getRandomValues(out);\n }\n return tostring(out);\n } catch (e) {\n var browser = global.navigator,\n plugins = browser && browser.plugins;\n return [+new Date, global, plugins, global.screen, tostring(pool)];\n }\n}\n\n//\n// tostring()\n// Converts an array of charcodes to a string\n//\nfunction tostring(a) {\n return String.fromCharCode.apply(0, a);\n}\n\n//\n// When seedrandom.js is loaded, we immediately mix a few bits\n// from the built-in RNG into the entropy pool. Because we do\n// not want to interfere with deterministic PRNG state later,\n// seedrandom will not call math.random on its own again after\n// initialization.\n//\nmixkey(math.random(), pool);\n\n//\n// Nodejs and AMD support: export the implementation as a module using\n// either convention.\n//\nif ((typeof module) == 'object' && module.exports) {\n module.exports = seedrandom;\n // When in node.js, try using crypto package for autoseeding.\n try {\n nodecrypto = require('crypto');\n } catch (ex) {}\n} else if ((typeof define) == 'function' && define.amd) {\n define(function() { return seedrandom; });\n} else {\n // When included as a plain script, set up Math.seedrandom global.\n math['seed' + rngname] = seedrandom;\n}\n\n\n// End anonymous scope, and pass initial values.\n})(\n // global: `self` in browsers (including strict mode and web workers),\n // otherwise `this` in Node and other environments\n (typeof self !== 'undefined') ? self : this,\n [], // pool: entropy pool starts empty\n Math // math: package containing random, pow, and seedrandom\n);\n", "// A library of seedable RNGs implemented in Javascript.\n//\n// Usage:\n//\n// var seedrandom = require('seedrandom');\n// var random = seedrandom(1); // or any seed.\n// var x = random(); // 0 <= x < 1. Every bit is random.\n// var x = random.quick(); // 0 <= x < 1. 32 bits of randomness.\n\n// alea, a 53-bit multiply-with-carry generator by Johannes Baag\u00F8e.\n// Period: ~2^116\n// Reported to pass all BigCrush tests.\nvar alea = require('./lib/alea');\n\n// xor128, a pure xor-shift generator by George Marsaglia.\n// Period: 2^128-1.\n// Reported to fail: MatrixRank and LinearComp.\nvar xor128 = require('./lib/xor128');\n\n// xorwow, George Marsaglia's 160-bit xor-shift combined plus weyl.\n// Period: 2^192-2^32\n// Reported to fail: CollisionOver, SimpPoker, and LinearComp.\nvar xorwow = require('./lib/xorwow');\n\n// xorshift7, by Fran\u00E7ois Panneton and Pierre L'ecuyer, takes\n// a different approach: it adds robustness by allowing more shifts\n// than Marsaglia's original three. It is a 7-shift generator\n// with 256 bits, that passes BigCrush with no systmatic failures.\n// Period 2^256-1.\n// No systematic BigCrush failures reported.\nvar xorshift7 = require('./lib/xorshift7');\n\n// xor4096, by Richard Brent, is a 4096-bit xor-shift with a\n// very long period that also adds a Weyl generator. It also passes\n// BigCrush with no systematic failures. Its long period may\n// be useful if you have many generators and need to avoid\n// collisions.\n// Period: 2^4128-2^32.\n// No systematic BigCrush failures reported.\nvar xor4096 = require('./lib/xor4096');\n\n// Tyche-i, by Samuel Neves and Filipe Araujo, is a bit-shifting random\n// number generator derived from ChaCha, a modern stream cipher.\n// https://eden.dei.uc.pt/~sneves/pubs/2011-snfa2.pdf\n// Period: ~2^127\n// No systematic BigCrush failures reported.\nvar tychei = require('./lib/tychei');\n\n// The original ARC4-based prng included in this library.\n// Period: ~2^1600\nvar sr = require('./seedrandom');\n\nsr.alea = alea;\nsr.xor128 = xor128;\nsr.xorwow = xorwow;\nsr.xorshift7 = xorshift7;\nsr.xor4096 = xor4096;\nsr.tychei = tychei;\n\nmodule.exports = sr;\n", "", null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, "export const wasmWorkerContents = 'var threadInfoStruct=0;var selfThreadId=0;var parentThreadId=0;var Module={};function 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null, null, null, "// wrapper to load tfjs in a single place so version can be changed quickly\n\n// simplified\n// { modules: 1061, moduleBytes: 3772720, outputBytes: 1531035 }\n\n// export * from '@tensorflow/tfjs/dist/index.js';\n// export * from '@tensorflow/tfjs-backend-wasm';\n\n// modular\n// { modules: 1064, moduleBytes: 3793219, outputBytes: 1535600 }\n\n// get versions of all packages.\nimport * as packageBundle from '@tensorflow/tfjs/package.json';\nimport * as packageCore from '@tensorflow/tfjs-core/package.json';\nimport * as packageData from '@tensorflow/tfjs-data/package.json';\nimport * as packageLayers from '@tensorflow/tfjs-layers/package.json';\nimport * as packageConverter from '@tensorflow/tfjs-converter/package.json';\n// for backends, get version from source so it can register backend during import\nimport { version_cpu } from '@tensorflow/tfjs-backend-cpu/dist/index.js';\nimport { version_webgl } from '@tensorflow/tfjs-backend-webgl/dist/index.js';\nimport { version_wasm } from '@tensorflow/tfjs-backend-wasm/dist/index.js';\n\n// export all\nexport * from '@tensorflow/tfjs-core/dist/index.js';\nexport * from '@tensorflow/tfjs-layers/dist/index.js';\nexport * from '@tensorflow/tfjs-converter/dist/index.js';\nexport * as data from '@tensorflow/tfjs-data/dist/index.js';\nexport * from '@tensorflow/tfjs-backend-cpu/dist/index.js';\nexport * from '@tensorflow/tfjs-backend-webgl/dist/index.js';\nexport * from '@tensorflow/tfjs-backend-wasm/dist/index.js';\n\n// export versions\nexport const version = {\n tfjs: packageBundle.version,\n 'tfjs-core': packageCore.version,\n 'tfjs-data': packageData.version,\n 'tfjs-layers': packageLayers.version,\n 'tfjs-converter': packageConverter.version,\n 'tfjs-backend-cpu': version_cpu,\n 'tfjs-backend-webgl': version_webgl,\n 'tfjs-backend-wasm': version_wasm,\n};\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\n\nexport const config = {\n name: 'humangl',\n priority: 99,\n canvas: null,\n gl: null,\n width: 1024,\n height: 1024,\n webGLattr: { // https://www.khronos.org/registry/webgl/specs/latest/1.0/#5.2\n alpha: false,\n antialias: false,\n premultipliedAlpha: false,\n preserveDrawingBuffer: false,\n depth: false,\n stencil: false,\n failIfMajorPerformanceCaveat: false,\n desynchronized: true,\n },\n};\n\nexport function register() {\n if (!tf.findBackend(config.name)) {\n log('backend registration:', config.name);\n try {\n // @ts-ignore\n config.canvas = (typeof OffscreenCanvas !== 'undefined') ? new OffscreenCanvas(config.width, config.height) : document.createElement('canvas');\n } catch (err) {\n log('error: cannot create canvas:', err);\n return;\n }\n try {\n // @ts-ignore\n config.gl = config.canvas.getContext('webgl2', config.webGLattr);\n } catch (err) {\n log('error: cannot get WebGL2 context:', err);\n return;\n }\n try {\n tf.setWebGLContext(2, config.gl);\n } catch (err) {\n log('error: cannot set WebGL2 context:', err);\n return;\n }\n try {\n const ctx = new tf.GPGPUContext(config.gl);\n tf.registerBackend(config.name, () => new tf.MathBackendWebGL(ctx), config.priority);\n } catch (err) {\n log('error: cannot register WebGL backend:', err);\n return;\n }\n try {\n const kernels = tf.getKernelsForBackend('webgl');\n kernels.forEach((kernelConfig) => {\n const newKernelConfig = { ...kernelConfig, backendName: config.name };\n tf.registerKernel(newKernelConfig);\n });\n } catch (err) {\n log('error: cannot update WebGL backend registration:', err);\n return;\n }\n try {\n tf.ENV.set('WEBGL_VERSION', 2);\n // @ts-ignore\n tf.ENV.set('WEBGL_MAX_TEXTURE_SIZE', config.gl.getParameter(config.gl.MAX_TEXTURE_SIZE));\n tf.ENV.set('WEBGL_FORCE_F16_TEXTURES', true);\n tf.ENV.set('WEBGL_PACK_DEPTHWISECONV', true);\n } catch (err) {\n log('error: cannot set WebGL backend flags:', err);\n return;\n }\n log('backend registered:', config.name);\n }\n}\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\n\nconst NUM_LANDMARKS = 6;\n\nfunction generateAnchors(inputSize) {\n const spec = { strides: [inputSize / 16, inputSize / 8], anchors: [2, 6] };\n const anchors: Array<[number, number]> = [];\n for (let i = 0; i < spec.strides.length; i++) {\n const stride = spec.strides[i];\n const gridRows = Math.floor((inputSize + stride - 1) / stride);\n const gridCols = Math.floor((inputSize + stride - 1) / stride);\n const anchorsNum = spec.anchors[i];\n for (let gridY = 0; gridY < gridRows; gridY++) {\n const anchorY = stride * (gridY + 0.5);\n for (let gridX = 0; gridX < gridCols; gridX++) {\n const anchorX = stride * (gridX + 0.5);\n for (let n = 0; n < anchorsNum; n++) {\n anchors.push([anchorX, anchorY]);\n }\n }\n }\n }\n return anchors;\n}\n\nexport const disposeBox = (box) => {\n box.startEndTensor.dispose();\n box.startPoint.dispose();\n box.endPoint.dispose();\n};\n\nconst createBox = (startEndTensor) => ({\n startEndTensor,\n startPoint: tf.slice(startEndTensor, [0, 0], [-1, 2]),\n endPoint: tf.slice(startEndTensor, [0, 2], [-1, 2]),\n});\n\nfunction decodeBounds(boxOutputs, anchors, inputSize) {\n const boxStarts = tf.slice(boxOutputs, [0, 1], [-1, 2]);\n const centers = tf.add(boxStarts, anchors);\n const boxSizes = tf.slice(boxOutputs, [0, 3], [-1, 2]);\n const boxSizesNormalized = tf.div(boxSizes, inputSize);\n const centersNormalized = tf.div(centers, inputSize);\n const halfBoxSize = tf.div(boxSizesNormalized, 2);\n const starts = tf.sub(centersNormalized, halfBoxSize);\n const ends = tf.add(centersNormalized, halfBoxSize);\n const startNormalized = tf.mul(starts, inputSize);\n const endNormalized = tf.mul(ends, inputSize);\n const concatAxis = 1;\n return tf.concat2d([startNormalized, endNormalized], concatAxis);\n}\n\nexport class BlazeFaceModel {\n blazeFaceModel: any;\n width: number;\n height: number;\n anchorsData: any;\n anchors: any;\n inputSize: number;\n config: any;\n scaleFaces: number;\n\n constructor(model, config) {\n this.blazeFaceModel = model;\n this.width = config.face.detector.inputSize;\n this.height = config.face.detector.inputSize;\n this.anchorsData = generateAnchors(config.face.detector.inputSize);\n this.anchors = tf.tensor2d(this.anchorsData);\n this.inputSize = tf.tensor1d([this.width, this.height]);\n this.config = config;\n this.scaleFaces = 0.8;\n }\n\n async getBoundingBoxes(inputImage) {\n // sanity check on input\n if ((!inputImage) || (inputImage.isDisposedInternal) || (inputImage.shape.length !== 4) || (inputImage.shape[1] < 1) || (inputImage.shape[2] < 1)) return null;\n const [detectedOutputs, boxes, scores] = tf.tidy(() => {\n const resizedImage = inputImage.resizeBilinear([this.width, this.height]);\n // const normalizedImage = tf.mul(tf.sub(resizedImage.div(255), 0.5), 2);\n const normalizedImage = tf.sub(resizedImage.div(127.5), 1);\n const batchedPrediction = this.blazeFaceModel.predict(normalizedImage);\n let prediction;\n // are we using tfhub or pinto converted model?\n if (Array.isArray(batchedPrediction)) {\n const sorted = batchedPrediction.sort((a, b) => a.size - b.size);\n const concat384 = tf.concat([sorted[0], sorted[2]], 2); // dim: 384, 1 + 16\n const concat512 = tf.concat([sorted[1], sorted[3]], 2); // dim: 512, 1 + 16\n const concat = tf.concat([concat512, concat384], 1);\n prediction = concat.squeeze(0);\n } else {\n prediction = batchedPrediction.squeeze(); // when using tfhub model\n }\n const decodedBounds = decodeBounds(prediction, this.anchors, this.inputSize);\n const logits = tf.slice(prediction, [0, 0], [-1, 1]);\n const scoresOut = tf.sigmoid(logits).squeeze();\n return [prediction, decodedBounds, scoresOut];\n });\n const boxIndicesTensor = await tf.image.nonMaxSuppressionAsync(boxes, scores, this.config.face.detector.maxFaces, this.config.face.detector.iouThreshold, this.config.face.detector.scoreThreshold);\n const boxIndices = boxIndicesTensor.arraySync();\n boxIndicesTensor.dispose();\n const boundingBoxesMap = boxIndices.map((boxIndex) => tf.slice(boxes, [boxIndex, 0], [1, -1]));\n const boundingBoxes = boundingBoxesMap.map((boundingBox) => {\n const vals = boundingBox.arraySync();\n boundingBox.dispose();\n return vals;\n });\n\n const scoresVal = scores.dataSync();\n const annotatedBoxes: Array<{ box: any, landmarks: any, anchor: any, confidence: number }> = [];\n for (let i = 0; i < boundingBoxes.length; i++) {\n const boxIndex = boxIndices[i];\n const confidence = scoresVal[boxIndex];\n if (confidence > this.config.face.detector.minConfidence) {\n const box = createBox(boundingBoxes[i]);\n const anchor = this.anchorsData[boxIndex];\n const landmarks = tf.tidy(() => tf.slice(detectedOutputs, [boxIndex, NUM_LANDMARKS - 1], [1, -1]).squeeze().reshape([NUM_LANDMARKS, -1]));\n annotatedBoxes.push({ box, landmarks, anchor, confidence });\n }\n }\n detectedOutputs.dispose();\n boxes.dispose();\n scores.dispose();\n detectedOutputs.dispose();\n return {\n boxes: annotatedBoxes,\n scaleFactor: [inputImage.shape[2] / this.width, inputImage.shape[1] / this.height],\n };\n }\n}\n\nexport async function load(config) {\n const blazeface = await tf.loadGraphModel(config.face.detector.modelPath, { fromTFHub: config.face.detector.modelPath.includes('tfhub.dev') });\n const model = new BlazeFaceModel(blazeface, config);\n log(`load model: ${config.face.detector.modelPath.match(/\\/(.*)\\./)[1]}`);\n return model;\n}\n", "import * as tf from '../../dist/tfjs.esm.js';\n\nexport function scaleBoxCoordinates(box, factor) {\n const startPoint = [box.startPoint[0] * factor[0], box.startPoint[1] * factor[1]];\n const endPoint = [box.endPoint[0] * factor[0], box.endPoint[1] * factor[1]];\n return { startPoint, endPoint };\n}\n\nexport function getBoxSize(box) {\n return [\n Math.abs(box.endPoint[0] - box.startPoint[0]),\n Math.abs(box.endPoint[1] - box.startPoint[1]),\n ];\n}\n\nexport function getBoxCenter(box) {\n return [\n box.startPoint[0] + (box.endPoint[0] - box.startPoint[0]) / 2,\n box.startPoint[1] + (box.endPoint[1] - box.startPoint[1]) / 2,\n ];\n}\n\nexport function cutBoxFromImageAndResize(box, image, cropSize) {\n const h = image.shape[1];\n const w = image.shape[2];\n const boxes = [[\n box.startPoint[1] / h, box.startPoint[0] / w, box.endPoint[1] / h,\n box.endPoint[0] / w,\n ]];\n return tf.image.cropAndResize(image, boxes, [0], cropSize);\n}\n\nexport function enlargeBox(box, factor = 1.5) {\n const center = getBoxCenter(box);\n const size = getBoxSize(box);\n const newHalfSize = [factor * size[0] / 2, factor * size[1] / 2];\n const startPoint = [center[0] - newHalfSize[0], center[1] - newHalfSize[1]];\n const endPoint = [center[0] + newHalfSize[0], center[1] + newHalfSize[1]];\n return { startPoint, endPoint, landmarks: box.landmarks };\n}\n\nexport function squarifyBox(box) {\n const centers = getBoxCenter(box);\n const size = getBoxSize(box);\n const maxEdge = Math.max(...size);\n const halfSize = maxEdge / 2;\n const startPoint = [centers[0] - halfSize, centers[1] - halfSize];\n const endPoint = [centers[0] + halfSize, centers[1] + halfSize];\n return { startPoint, endPoint, landmarks: box.landmarks };\n}\n", "export const IDENTITY_MATRIX = [[1, 0, 0], [0, 1, 0], [0, 0, 1]];\n/**\n * Normalizes the provided angle to the range -pi to pi.\n * @param angle The angle in radians to be normalized.\n */\nexport function normalizeRadians(angle) {\n return angle - 2 * Math.PI * Math.floor((angle + Math.PI) / (2 * Math.PI));\n}\n\n/**\n * Computes the angle of rotation between two anchor points.\n * @param point1 First anchor point\n * @param point2 Second anchor point\n */\nexport function computeRotation(point1, point2) {\n const radians = Math.PI / 2 - Math.atan2(-(point2[1] - point1[1]), point2[0] - point1[0]);\n return normalizeRadians(radians);\n}\n\nexport function radToDegrees(rad) {\n return rad * 180 / Math.PI;\n}\n\nexport function buildTranslationMatrix(x, y) {\n return [[1, 0, x], [0, 1, y], [0, 0, 1]];\n}\n\nexport function dot(v1, v2) {\n let product = 0;\n for (let i = 0; i < v1.length; i++) {\n product += v1[i] * v2[i];\n }\n return product;\n}\n\nexport function getColumnFrom2DArr(arr, columnIndex) {\n const column: Array = [];\n for (let i = 0; i < arr.length; i++) {\n column.push(arr[i][columnIndex]);\n }\n return column;\n}\n\nexport function multiplyTransformMatrices(mat1, mat2) {\n const product: Array = [];\n const size = mat1.length;\n for (let row = 0; row < size; row++) {\n product.push([]);\n for (let col = 0; col < size; col++) {\n product[row].push(dot(mat1[row], getColumnFrom2DArr(mat2, col)));\n }\n }\n return product;\n}\n\nexport function buildRotationMatrix(rotation, center) {\n const cosA = Math.cos(rotation);\n const sinA = Math.sin(rotation);\n const rotationMatrix = [[cosA, -sinA, 0], [sinA, cosA, 0], [0, 0, 1]];\n const translationMatrix = buildTranslationMatrix(center[0], center[1]);\n const translationTimesRotation = multiplyTransformMatrices(translationMatrix, rotationMatrix);\n const negativeTranslationMatrix = buildTranslationMatrix(-center[0], -center[1]);\n return multiplyTransformMatrices(translationTimesRotation, negativeTranslationMatrix);\n}\n\nexport function invertTransformMatrix(matrix) {\n const rotationComponent = [[matrix[0][0], matrix[1][0]], [matrix[0][1], matrix[1][1]]];\n const translationComponent = [matrix[0][2], matrix[1][2]];\n const invertedTranslation = [\n -dot(rotationComponent[0], translationComponent),\n -dot(rotationComponent[1], translationComponent),\n ];\n return [\n rotationComponent[0].concat(invertedTranslation[0]),\n rotationComponent[1].concat(invertedTranslation[1]),\n [0, 0, 1],\n ];\n}\n\nexport function rotatePoint(homogeneousCoordinate, rotationMatrix) {\n return [\n dot(homogeneousCoordinate, rotationMatrix[0]),\n dot(homogeneousCoordinate, rotationMatrix[1]),\n ];\n}\n\nexport function xyDistanceBetweenPoints(a, b) {\n return Math.sqrt(((a[0] - b[0]) ** 2) + ((a[1] - b[1]) ** 2));\n}\n", "export const MESH_ANNOTATIONS = {\n silhouette: [\n 10, 338, 297, 332, 284, 251, 389, 356, 454, 323, 361, 288,\n 397, 365, 379, 378, 400, 377, 152, 148, 176, 149, 150, 136,\n 172, 58, 132, 93, 234, 127, 162, 21, 54, 103, 67, 109,\n ],\n lipsUpperOuter: [61, 185, 40, 39, 37, 0, 267, 269, 270, 409, 291],\n lipsLowerOuter: [146, 91, 181, 84, 17, 314, 405, 321, 375, 291],\n lipsUpperInner: [78, 191, 80, 81, 82, 13, 312, 311, 310, 415, 308],\n lipsLowerInner: [78, 95, 88, 178, 87, 14, 317, 402, 318, 324, 308],\n rightEyeUpper0: [246, 161, 160, 159, 158, 157, 173],\n rightEyeLower0: [33, 7, 163, 144, 145, 153, 154, 155, 133],\n rightEyeUpper1: [247, 30, 29, 27, 28, 56, 190],\n rightEyeLower1: [130, 25, 110, 24, 23, 22, 26, 112, 243],\n rightEyeUpper2: [113, 225, 224, 223, 222, 221, 189],\n rightEyeLower2: [226, 31, 228, 229, 230, 231, 232, 233, 244],\n rightEyeLower3: [143, 111, 117, 118, 119, 120, 121, 128, 245],\n rightEyebrowUpper: [156, 70, 63, 105, 66, 107, 55, 193],\n rightEyebrowLower: [35, 124, 46, 53, 52, 65],\n rightEyeIris: [473, 474, 475, 476, 477],\n leftEyeUpper0: [466, 388, 387, 386, 385, 384, 398],\n leftEyeLower0: [263, 249, 390, 373, 374, 380, 381, 382, 362],\n leftEyeUpper1: [467, 260, 259, 257, 258, 286, 414],\n leftEyeLower1: [359, 255, 339, 254, 253, 252, 256, 341, 463],\n leftEyeUpper2: [342, 445, 444, 443, 442, 441, 413],\n leftEyeLower2: [446, 261, 448, 449, 450, 451, 452, 453, 464],\n leftEyeLower3: [372, 340, 346, 347, 348, 349, 350, 357, 465],\n leftEyebrowUpper: [383, 300, 293, 334, 296, 336, 285, 417],\n leftEyebrowLower: [265, 353, 276, 283, 282, 295],\n leftEyeIris: [468, 469, 470, 471, 472],\n midwayBetweenEyes: [168],\n noseTip: [1],\n noseBottom: [2],\n noseRightCorner: [98],\n noseLeftCorner: [327],\n rightCheek: [205],\n leftCheek: [425],\n};\n\nexport const MESH_TO_IRIS_INDICES_MAP = [ // A mapping from facemesh model keypoints to iris model keypoints.\n { key: 'EyeUpper0', indices: [9, 10, 11, 12, 13, 14, 15] },\n { key: 'EyeUpper1', indices: [25, 26, 27, 28, 29, 30, 31] },\n { key: 'EyeUpper2', indices: [41, 42, 43, 44, 45, 46, 47] },\n { key: 'EyeLower0', indices: [0, 1, 2, 3, 4, 5, 6, 7, 8] },\n { key: 'EyeLower1', indices: [16, 17, 18, 19, 20, 21, 22, 23, 24] },\n { key: 'EyeLower2', indices: [32, 33, 34, 35, 36, 37, 38, 39, 40] },\n { key: 'EyeLower3', indices: [54, 55, 56, 57, 58, 59, 60, 61, 62] },\n // { key: 'EyebrowUpper', indices: [63, 64, 65, 66, 67, 68, 69, 70] },\n // { key: 'EyebrowLower', indices: [48, 49, 50, 51, 52, 53] },\n];\n\nexport const UV468 = [\n [0.499976992607117, 0.652534008026123],\n [0.500025987625122, 0.547487020492554],\n [0.499974012374878, 0.602371990680695],\n [0.482113003730774, 0.471979022026062],\n [0.500150978565216, 0.527155995368958],\n [0.499909996986389, 0.498252987861633],\n [0.499523013830185, 0.40106201171875],\n [0.289712011814117, 0.380764007568359],\n [0.499954998493195, 0.312398016452789],\n [0.499987006187439, 0.269918978214264],\n [0.500023007392883, 0.107050001621246],\n [0.500023007392883, 0.666234016418457],\n [0.5000159740448, 0.679224014282227],\n [0.500023007392883, 0.692348003387451],\n [0.499976992607117, 0.695277988910675],\n [0.499976992607117, 0.70593398809433],\n [0.499976992607117, 0.719385027885437],\n [0.499976992607117, 0.737019002437592],\n [0.499967992305756, 0.781370997428894],\n [0.499816000461578, 0.562981009483337],\n [0.473773002624512, 0.573909997940063],\n [0.104906998574734, 0.254140973091125],\n [0.365929991006851, 0.409575998783112],\n [0.338757991790771, 0.41302502155304],\n [0.311120003461838, 0.409460008144379],\n [0.274657994508743, 0.389131009578705],\n [0.393361985683441, 0.403706014156342],\n [0.345234006643295, 0.344011008739471],\n [0.370094001293182, 0.346076011657715],\n [0.319321990013123, 0.347265005111694],\n [0.297903001308441, 0.353591024875641],\n [0.24779200553894, 0.410809993743896],\n [0.396889001131058, 0.842755019664764],\n [0.280097991228104, 0.375599980354309],\n [0.106310002505779, 0.399955987930298],\n [0.2099249958992, 0.391353011131287],\n [0.355807989835739, 0.534406006336212],\n [0.471751004457474, 0.65040397644043],\n [0.474155008792877, 0.680191993713379],\n [0.439785003662109, 0.657229006290436],\n [0.414617002010345, 0.66654098033905],\n [0.450374007225037, 0.680860996246338],\n [0.428770989179611, 0.682690978050232],\n [0.374971002340317, 0.727805018424988],\n [0.486716985702515, 0.547628998756409],\n [0.485300987958908, 0.527395009994507],\n [0.257764995098114, 0.314490020275116],\n [0.401223003864288, 0.455172002315521],\n [0.429818987846375, 0.548614978790283],\n [0.421351999044418, 0.533740997314453],\n [0.276895999908447, 0.532056987285614],\n [0.483370006084442, 0.499586999416351],\n [0.33721199631691, 0.282882988452911],\n [0.296391993761063, 0.293242990970612],\n [0.169294998049736, 0.193813979625702],\n [0.447580009698868, 0.302609980106354],\n [0.392390012741089, 0.353887975215912],\n [0.354490011930466, 0.696784019470215],\n [0.067304998636246, 0.730105042457581],\n [0.442739009857178, 0.572826027870178],\n [0.457098007202148, 0.584792017936707],\n [0.381974011659622, 0.694710969924927],\n [0.392388999462128, 0.694203019142151],\n [0.277076005935669, 0.271932005882263],\n [0.422551989555359, 0.563233017921448],\n [0.385919004678726, 0.281364023685455],\n [0.383103013038635, 0.255840003490448],\n [0.331431001424789, 0.119714021682739],\n [0.229923993349075, 0.232002973556519],\n [0.364500999450684, 0.189113974571228],\n [0.229622006416321, 0.299540996551514],\n [0.173287004232407, 0.278747975826263],\n [0.472878992557526, 0.666198015213013],\n [0.446828007698059, 0.668527007102966],\n [0.422762006521225, 0.673889994621277],\n [0.445307999849319, 0.580065965652466],\n [0.388103008270264, 0.693961024284363],\n [0.403039008378983, 0.706539988517761],\n [0.403629004955292, 0.693953037261963],\n [0.460041999816895, 0.557139039039612],\n [0.431158006191254, 0.692366003990173],\n [0.452181994915009, 0.692366003990173],\n [0.475387006998062, 0.692366003990173],\n [0.465828001499176, 0.779190003871918],\n [0.472328990697861, 0.736225962638855],\n [0.473087012767792, 0.717857003211975],\n [0.473122000694275, 0.704625964164734],\n [0.473033010959625, 0.695277988910675],\n [0.427942007780075, 0.695277988910675],\n [0.426479011774063, 0.703539967536926],\n [0.423162013292313, 0.711845993995667],\n [0.4183090031147, 0.720062971115112],\n [0.390094995498657, 0.639572978019714],\n [0.013953999616206, 0.560034036636353],\n [0.499913990497589, 0.58014702796936],\n [0.413199990987778, 0.69539999961853],\n [0.409626007080078, 0.701822996139526],\n [0.468080013990402, 0.601534962654114],\n [0.422728985548019, 0.585985004901886],\n [0.463079988956451, 0.593783974647522],\n [0.37211999297142, 0.47341400384903],\n [0.334562003612518, 0.496073007583618],\n [0.411671012639999, 0.546965003013611],\n [0.242175996303558, 0.14767599105835],\n [0.290776997804642, 0.201445996761322],\n [0.327338010072708, 0.256527006626129],\n [0.399509996175766, 0.748921036720276],\n [0.441727995872498, 0.261676013469696],\n [0.429764986038208, 0.187834024429321],\n [0.412198007106781, 0.108901023864746],\n [0.288955003023148, 0.398952007293701],\n [0.218936994671822, 0.435410976409912],\n [0.41278201341629, 0.398970007896423],\n [0.257135003805161, 0.355440020561218],\n [0.427684992551804, 0.437960982322693],\n [0.448339998722076, 0.536936044692993],\n [0.178560003638268, 0.45755398273468],\n [0.247308000922203, 0.457193970680237],\n [0.286267012357712, 0.467674970626831],\n [0.332827985286713, 0.460712015628815],\n [0.368755996227264, 0.447206974029541],\n [0.398963987827301, 0.432654976844788],\n [0.476410001516342, 0.405806005001068],\n [0.189241006970406, 0.523923993110657],\n [0.228962004184723, 0.348950982093811],\n [0.490725994110107, 0.562400996685028],\n [0.404670000076294, 0.485132992267609],\n [0.019469000399113, 0.401564002037048],\n [0.426243007183075, 0.420431017875671],\n [0.396993011236191, 0.548797011375427],\n [0.266469985246658, 0.376977026462555],\n [0.439121007919312, 0.51895797252655],\n [0.032313998788595, 0.644356966018677],\n [0.419054001569748, 0.387154996395111],\n [0.462783008813858, 0.505746960639954],\n [0.238978996872902, 0.779744982719421],\n [0.198220998048782, 0.831938028335571],\n [0.107550002634525, 0.540755033493042],\n [0.183610007166862, 0.740257024765015],\n [0.134409993886948, 0.333683013916016],\n [0.385764002799988, 0.883153975009918],\n [0.490967005491257, 0.579378008842468],\n [0.382384985685349, 0.508572995662689],\n [0.174399003386497, 0.397670984268188],\n [0.318785011768341, 0.39623498916626],\n [0.343364000320435, 0.400596976280212],\n [0.396100014448166, 0.710216999053955],\n [0.187885001301765, 0.588537991046906],\n [0.430987000465393, 0.944064974784851],\n [0.318993002176285, 0.898285031318665],\n [0.266247987747192, 0.869701027870178],\n [0.500023007392883, 0.190576016902924],\n [0.499976992607117, 0.954452991485596],\n [0.366169989109039, 0.398822009563446],\n [0.393207013607025, 0.39553701877594],\n [0.410373002290726, 0.391080021858215],\n [0.194993004202843, 0.342101991176605],\n [0.388664990663528, 0.362284004688263],\n [0.365961998701096, 0.355970978736877],\n [0.343364000320435, 0.355356991291046],\n [0.318785011768341, 0.35834002494812],\n [0.301414996385574, 0.363156020641327],\n [0.058132998645306, 0.319076001644135],\n [0.301414996385574, 0.387449026107788],\n [0.499987989664078, 0.618434011936188],\n [0.415838003158569, 0.624195992946625],\n [0.445681989192963, 0.566076993942261],\n [0.465844005346298, 0.620640993118286],\n [0.49992299079895, 0.351523995399475],\n [0.288718998432159, 0.819945991039276],\n [0.335278987884521, 0.852819979190826],\n [0.440512001514435, 0.902418971061707],\n [0.128294005990028, 0.791940987110138],\n [0.408771991729736, 0.373893976211548],\n [0.455606997013092, 0.451801002025604],\n [0.499877005815506, 0.908990025520325],\n [0.375436991453171, 0.924192011356354],\n [0.11421000212431, 0.615022003650665],\n [0.448662012815475, 0.695277988910675],\n [0.4480200111866, 0.704632043838501],\n [0.447111994028091, 0.715808033943176],\n [0.444831997156143, 0.730794012546539],\n [0.430011987686157, 0.766808986663818],\n [0.406787008047104, 0.685672998428345],\n [0.400738000869751, 0.681069016456604],\n [0.392399996519089, 0.677703022956848],\n [0.367855995893478, 0.663918972015381],\n [0.247923001646996, 0.601333022117615],\n [0.452769994735718, 0.420849978923798],\n [0.43639200925827, 0.359887003898621],\n [0.416164010763168, 0.368713974952698],\n [0.413385987281799, 0.692366003990173],\n [0.228018000721931, 0.683571994304657],\n [0.468268007040024, 0.352671027183533],\n [0.411361992359161, 0.804327011108398],\n [0.499989002943039, 0.469825029373169],\n [0.479153990745544, 0.442654013633728],\n [0.499974012374878, 0.439637005329132],\n [0.432112008333206, 0.493588984012604],\n [0.499886006116867, 0.866917014122009],\n [0.49991300702095, 0.821729004383087],\n [0.456548988819122, 0.819200992584229],\n [0.344549000263214, 0.745438992977142],\n [0.37890899181366, 0.574010014533997],\n [0.374292999505997, 0.780184984207153],\n [0.319687992334366, 0.570737957954407],\n [0.357154995203018, 0.604269981384277],\n [0.295284003019333, 0.621580958366394],\n [0.447750002145767, 0.862477004528046],\n [0.410986006259918, 0.508723020553589],\n [0.31395098567009, 0.775308012962341],\n [0.354128003120422, 0.812552988529205],\n [0.324548006057739, 0.703992962837219],\n [0.189096003770828, 0.646299958229065],\n [0.279776990413666, 0.71465802192688],\n [0.1338230073452, 0.682700991630554],\n [0.336768001317978, 0.644733011722565],\n [0.429883986711502, 0.466521978378296],\n [0.455527991056442, 0.548622965812683],\n [0.437114000320435, 0.558896005153656],\n [0.467287987470627, 0.529924988746643],\n [0.414712011814117, 0.335219979286194],\n [0.37704598903656, 0.322777986526489],\n [0.344107985496521, 0.320150971412659],\n [0.312875986099243, 0.32233202457428],\n [0.283526003360748, 0.333190023899078],\n [0.241245999932289, 0.382785975933075],\n [0.102986000478268, 0.468762993812561],\n [0.267612010240555, 0.424560010433197],\n [0.297879010438919, 0.433175981044769],\n [0.333433985710144, 0.433878004550934],\n [0.366427004337311, 0.426115989685059],\n [0.396012008190155, 0.416696012020111],\n [0.420121014118195, 0.41022801399231],\n [0.007561000064015, 0.480777025222778],\n [0.432949006557465, 0.569517970085144],\n [0.458638995885849, 0.479089021682739],\n [0.473466008901596, 0.545744001865387],\n [0.476087987422943, 0.563830018043518],\n [0.468472003936768, 0.555056989192963],\n [0.433990985155106, 0.582361996173859],\n [0.483518004417419, 0.562983989715576],\n [0.482482999563217, 0.57784903049469],\n [0.42645001411438, 0.389798998832703],\n [0.438998997211456, 0.39649498462677],\n [0.450067013502121, 0.400434017181396],\n [0.289712011814117, 0.368252992630005],\n [0.276670008897781, 0.363372981548309],\n [0.517862021923065, 0.471948027610779],\n [0.710287988185883, 0.380764007568359],\n [0.526226997375488, 0.573909997940063],\n [0.895093023777008, 0.254140973091125],\n [0.634069979190826, 0.409575998783112],\n [0.661242008209229, 0.41302502155304],\n [0.688880026340485, 0.409460008144379],\n [0.725341975688934, 0.389131009578705],\n [0.606630027294159, 0.40370500087738],\n [0.654766023159027, 0.344011008739471],\n [0.629905998706818, 0.346076011657715],\n [0.680678009986877, 0.347265005111694],\n [0.702096998691559, 0.353591024875641],\n [0.75221198797226, 0.410804986953735],\n [0.602918028831482, 0.842862963676453],\n [0.719901978969574, 0.375599980354309],\n [0.893692970275879, 0.399959981441498],\n [0.790081977844238, 0.391354024410248],\n [0.643998026847839, 0.534487962722778],\n [0.528249025344849, 0.65040397644043],\n [0.525849997997284, 0.680191040039062],\n [0.560214996337891, 0.657229006290436],\n [0.585384011268616, 0.66654098033905],\n [0.549625992774963, 0.680860996246338],\n [0.57122802734375, 0.682691991329193],\n [0.624852001667023, 0.72809898853302],\n [0.513050019741058, 0.547281980514526],\n [0.51509702205658, 0.527251958847046],\n [0.742246985435486, 0.314507007598877],\n [0.598631024360657, 0.454979002475739],\n [0.570338010787964, 0.548575043678284],\n [0.578631997108459, 0.533622980117798],\n [0.723087012767792, 0.532054007053375],\n [0.516445994377136, 0.499638974666595],\n [0.662801027297974, 0.282917976379395],\n [0.70362401008606, 0.293271005153656],\n [0.830704987049103, 0.193813979625702],\n [0.552385985851288, 0.302568018436432],\n [0.607609987258911, 0.353887975215912],\n [0.645429015159607, 0.696707010269165],\n [0.932694971561432, 0.730105042457581],\n [0.557260990142822, 0.572826027870178],\n [0.542901992797852, 0.584792017936707],\n [0.6180260181427, 0.694710969924927],\n [0.607590973377228, 0.694203019142151],\n [0.722943007946014, 0.271963000297546],\n [0.577413976192474, 0.563166975975037],\n [0.614082992076874, 0.281386971473694],\n [0.616907000541687, 0.255886018276215],\n [0.668509006500244, 0.119913995265961],\n [0.770092010498047, 0.232020974159241],\n [0.635536015033722, 0.189248979091644],\n [0.77039098739624, 0.299556016921997],\n [0.826722025871277, 0.278755009174347],\n [0.527121007442474, 0.666198015213013],\n [0.553171992301941, 0.668527007102966],\n [0.577238023281097, 0.673889994621277],\n [0.554691970348358, 0.580065965652466],\n [0.611896991729736, 0.693961024284363],\n [0.59696102142334, 0.706539988517761],\n [0.596370995044708, 0.693953037261963],\n [0.539958000183105, 0.557139039039612],\n [0.568841993808746, 0.692366003990173],\n [0.547818005084991, 0.692366003990173],\n [0.52461302280426, 0.692366003990173],\n [0.534089982509613, 0.779141008853912],\n [0.527670979499817, 0.736225962638855],\n [0.526912987232208, 0.717857003211975],\n [0.526877999305725, 0.704625964164734],\n [0.526966989040375, 0.695277988910675],\n [0.572058022022247, 0.695277988910675],\n [0.573521018028259, 0.703539967536926],\n [0.57683801651001, 0.711845993995667],\n [0.581691026687622, 0.720062971115112],\n [0.609944999217987, 0.639909982681274],\n [0.986046016216278, 0.560034036636353],\n [0.5867999792099, 0.69539999961853],\n [0.590372025966644, 0.701822996139526],\n [0.531915009021759, 0.601536989212036],\n [0.577268004417419, 0.585934996604919],\n [0.536915004253387, 0.593786001205444],\n [0.627542972564697, 0.473352015018463],\n [0.665585994720459, 0.495950996875763],\n [0.588353991508484, 0.546862006187439],\n [0.757824003696442, 0.14767599105835],\n [0.709249973297119, 0.201507985591888],\n [0.672684013843536, 0.256581008434296],\n [0.600408971309662, 0.74900496006012],\n [0.55826598405838, 0.261672019958496],\n [0.570303976535797, 0.187870979309082],\n [0.588165998458862, 0.109044015407562],\n [0.711045026779175, 0.398952007293701],\n [0.781069993972778, 0.435405015945435],\n [0.587247014045715, 0.398931980133057],\n [0.742869973182678, 0.355445981025696],\n [0.572156012058258, 0.437651991844177],\n [0.55186802148819, 0.536570012569427],\n [0.821442008018494, 0.457556009292603],\n [0.752701997756958, 0.457181990146637],\n [0.71375697851181, 0.467626988887787],\n [0.66711300611496, 0.460672974586487],\n [0.631101012229919, 0.447153985500336],\n [0.6008620262146, 0.432473003864288],\n [0.523481011390686, 0.405627012252808],\n [0.810747981071472, 0.523926019668579],\n [0.771045982837677, 0.348959028720856],\n [0.509127020835876, 0.562718033790588],\n [0.595292985439301, 0.485023975372314],\n [0.980530977249146, 0.401564002037048],\n [0.573499977588654, 0.420000016689301],\n [0.602994978427887, 0.548687994480133],\n [0.733529984951019, 0.376977026462555],\n [0.560611009597778, 0.519016981124878],\n [0.967685997486115, 0.644356966018677],\n [0.580985009670258, 0.387160003185272],\n [0.537728011608124, 0.505385041236877],\n [0.760966002941132, 0.779752969741821],\n [0.801778972148895, 0.831938028335571],\n [0.892440974712372, 0.54076099395752],\n [0.816350996494293, 0.740260004997253],\n [0.865594983100891, 0.333687007427216],\n [0.614073991775513, 0.883246004581451],\n [0.508952975273132, 0.579437971115112],\n [0.617941975593567, 0.508316040039062],\n [0.825608015060425, 0.397674977779388],\n [0.681214988231659, 0.39623498916626],\n [0.656635999679565, 0.400596976280212],\n [0.603900015354156, 0.710216999053955],\n [0.81208598613739, 0.588539004325867],\n [0.56801301240921, 0.944564998149872],\n [0.681007981300354, 0.898285031318665],\n [0.733752012252808, 0.869701027870178],\n [0.633830010890961, 0.398822009563446],\n [0.606792986392975, 0.39553701877594],\n [0.589659988880157, 0.391062021255493],\n [0.805015981197357, 0.342108011245728],\n [0.611334979534149, 0.362284004688263],\n [0.634037971496582, 0.355970978736877],\n [0.656635999679565, 0.355356991291046],\n [0.681214988231659, 0.35834002494812],\n [0.698584973812103, 0.363156020641327],\n [0.941866993904114, 0.319076001644135],\n [0.698584973812103, 0.387449026107788],\n [0.584177017211914, 0.624107003211975],\n [0.554318010807037, 0.566076993942261],\n [0.534153997898102, 0.62064003944397],\n [0.711217999458313, 0.819975018501282],\n [0.664629995822906, 0.852871000766754],\n [0.559099972248077, 0.902631998062134],\n [0.871706008911133, 0.791940987110138],\n [0.591234028339386, 0.373893976211548],\n [0.544341027736664, 0.451583981513977],\n [0.624562978744507, 0.924192011356354],\n [0.88577002286911, 0.615028977394104],\n [0.551338016986847, 0.695277988910675],\n [0.551980018615723, 0.704632043838501],\n [0.552887976169586, 0.715808033943176],\n [0.555167973041534, 0.730794012546539],\n [0.569944024085999, 0.767035007476807],\n [0.593203008174896, 0.685675978660583],\n [0.599261999130249, 0.681069016456604],\n [0.607599973678589, 0.677703022956848],\n [0.631937980651855, 0.663500010967255],\n [0.752032995223999, 0.601315021514893],\n [0.547226011753082, 0.420395016670227],\n [0.563543975353241, 0.359827995300293],\n [0.583841025829315, 0.368713974952698],\n [0.586614012718201, 0.692366003990173],\n [0.771915018558502, 0.683578014373779],\n [0.531597018241882, 0.352482974529266],\n [0.588370978832245, 0.804440975189209],\n [0.52079701423645, 0.442565023899078],\n [0.567984998226166, 0.493479013442993],\n [0.543282985687256, 0.819254994392395],\n [0.655317008495331, 0.745514988899231],\n [0.621008992195129, 0.574018001556396],\n [0.625559985637665, 0.78031200170517],\n [0.680198013782501, 0.570719003677368],\n [0.64276397228241, 0.604337990283966],\n [0.704662978649139, 0.621529996395111],\n [0.552012026309967, 0.862591981887817],\n [0.589071989059448, 0.508637011051178],\n [0.685944974422455, 0.775357007980347],\n [0.645735025405884, 0.812640011310577],\n [0.675342977046967, 0.703978002071381],\n [0.810858011245728, 0.646304965019226],\n [0.72012197971344, 0.714666962623596],\n [0.866151988506317, 0.682704985141754],\n [0.663187026977539, 0.644596993923187],\n [0.570082008838654, 0.466325998306274],\n [0.544561982154846, 0.548375964164734],\n [0.562758982181549, 0.558784961700439],\n [0.531987011432648, 0.530140042304993],\n [0.585271000862122, 0.335177004337311],\n [0.622952997684479, 0.32277899980545],\n [0.655896008014679, 0.320163011550903],\n [0.687132000923157, 0.322345972061157],\n [0.716481983661652, 0.333200991153717],\n [0.758756995201111, 0.382786989212036],\n [0.897013008594513, 0.468769013881683],\n [0.732392013072968, 0.424547016620636],\n [0.70211398601532, 0.433162987232208],\n [0.66652500629425, 0.433866024017334],\n [0.633504986763, 0.426087975502014],\n [0.603875994682312, 0.416586995124817],\n [0.579657971858978, 0.409945011138916],\n [0.992439985275269, 0.480777025222778],\n [0.567192018032074, 0.569419980049133],\n [0.54136598110199, 0.478899002075195],\n [0.526564002037048, 0.546118021011353],\n [0.523913025856018, 0.563830018043518],\n [0.531529009342194, 0.555056989192963],\n [0.566035985946655, 0.582329034805298],\n [0.51631098985672, 0.563053965568542],\n [0.5174720287323, 0.577877044677734],\n [0.573594987392426, 0.389806985855103],\n [0.560697972774506, 0.395331978797913],\n [0.549755990505219, 0.399751007556915],\n [0.710287988185883, 0.368252992630005],\n [0.723330020904541, 0.363372981548309],\n];\n\nexport const TRI468 = [\n 127, 34, 139, 11, 0, 37, 232, 231, 120, 72, 37, 39, 128, 121, 47, 232, 121, 128, 104, 69, 67, 175, 171, 148, 157, 154, 155, 118, 50, 101, 73, 39, 40, 9,\n 151, 108, 48, 115, 131, 194, 204, 211, 74, 40, 185, 80, 42, 183, 40, 92, 186, 230, 229, 118, 202, 212, 214, 83, 18, 17, 76, 61, 146, 160, 29, 30, 56,\n 157, 173, 106, 204, 194, 135, 214, 192, 203, 165, 98, 21, 71, 68, 51, 45, 4, 144, 24, 23, 77, 146, 91, 205, 50, 187, 201, 200, 18, 91, 106, 182, 90, 91,\n 181, 85, 84, 17, 206, 203, 36, 148, 171, 140, 92, 40, 39, 193, 189, 244, 159, 158, 28, 247, 246, 161, 236, 3, 196, 54, 68, 104, 193, 168, 8, 117,\n 228, 31, 189, 193, 55, 98, 97, 99, 126, 47, 100, 166, 79, 218, 155, 154, 26, 209, 49, 131, 135, 136, 150, 47, 126, 217, 223, 52, 53, 45, 51, 134, 211,\n 170, 140, 67, 69, 108, 43, 106, 91, 230, 119, 120, 226, 130, 247, 63, 53, 52, 238, 20, 242, 46, 70, 156, 78, 62, 96, 46, 53, 63, 143, 34, 227, 173,\n 155, 133, 123, 117, 111, 44, 125, 19, 236, 134, 51, 216, 206, 205, 154, 153, 22, 39, 37, 167, 200, 201, 208, 36, 142, 100, 57, 212, 202, 20, 60, 99, 28,\n 158, 157, 35, 226, 113, 160, 159, 27, 204, 202, 210, 113, 225, 46, 43, 202, 204, 62, 76, 77, 137, 123, 116, 41, 38, 72, 203, 129, 142, 64, 98, 240, 49,\n 102, 64, 41, 73, 74, 212, 216, 207, 42, 74, 184, 169, 170, 211, 170, 149, 176, 105, 66, 69, 122, 6, 168, 123, 147, 187, 96, 77, 90, 65, 55, 107, 89,\n 90, 180, 101, 100, 120, 63, 105, 104, 93, 137, 227, 15, 86, 85, 129, 102, 49, 14, 87, 86, 55, 8, 9, 100, 47, 121, 145, 23, 22, 88, 89, 179, 6, 122,\n 196, 88, 95, 96, 138, 172, 136, 215, 58, 172, 115, 48, 219, 42, 80, 81, 195, 3, 51, 43, 146, 61, 171, 175, 199, 81, 82, 38, 53, 46, 225, 144, 163, 110,\n 246, 33, 7, 52, 65, 66, 229, 228, 117, 34, 127, 234, 107, 108, 69, 109, 108, 151, 48, 64, 235, 62, 78, 191, 129, 209, 126, 111, 35, 143, 163, 161, 246,\n 117, 123, 50, 222, 65, 52, 19, 125, 141, 221, 55, 65, 3, 195, 197, 25, 7, 33, 220, 237, 44, 70, 71, 139, 122, 193, 245, 247, 130, 33, 71, 21, 162,\n 153, 158, 159, 170, 169, 150, 188, 174, 196, 216, 186, 92, 144, 160, 161, 2, 97, 167, 141, 125, 241, 164, 167, 37, 72, 38, 12, 145, 159, 160, 38, 82, 13,\n 63, 68, 71, 226, 35, 111, 158, 153, 154, 101, 50, 205, 206, 92, 165, 209, 198, 217, 165, 167, 97, 220, 115, 218, 133, 112, 243, 239, 238, 241, 214,\n 135, 169, 190, 173, 133, 171, 208, 32, 125, 44, 237, 86, 87, 178, 85, 86, 179, 84, 85, 180, 83, 84, 181, 201, 83, 182, 137, 93, 132, 76, 62, 183, 61,\n 76, 184, 57, 61, 185, 212, 57, 186, 214, 207, 187, 34, 143, 156, 79, 239, 237, 123, 137, 177, 44, 1, 4, 201, 194, 32, 64, 102, 129, 213, 215, 138, 59,\n 166, 219, 242, 99, 97, 2, 94, 141, 75, 59, 235, 24, 110, 228, 25, 130, 226, 23, 24, 229, 22, 23, 230, 26, 22, 231, 112, 26, 232, 189, 190, 243, 221, 56,\n 190, 28, 56, 221, 27, 28, 222, 29, 27, 223, 30, 29, 224, 247, 30, 225, 238, 79, 20, 166, 59, 75, 60, 75, 240, 147, 177, 215, 20, 79, 166, 187, 147, 213,\n 112, 233, 244, 233, 128, 245, 128, 114, 188, 114, 217, 174, 131, 115, 220, 217, 198, 236, 198, 131, 134, 177, 132, 58, 143, 35, 124, 110, 163, 7, 228,\n 110, 25, 356, 389, 368, 11, 302, 267, 452, 350, 349, 302, 303, 269, 357, 343, 277, 452, 453, 357, 333, 332, 297, 175, 152, 377, 384, 398, 382, 347,\n 348, 330, 303, 304, 270, 9, 336, 337, 278, 279, 360, 418, 262, 431, 304, 408, 409, 310, 415, 407, 270, 409, 410, 450, 348, 347, 422, 430, 434, 313,\n 314, 17, 306, 307, 375, 387, 388, 260, 286, 414, 398, 335, 406, 418, 364, 367, 416, 423, 358, 327, 251, 284, 298, 281, 5, 4, 373, 374, 253, 307, 320,\n 321, 425, 427, 411, 421, 313, 18, 321, 405, 406, 320, 404, 405, 315, 16, 17, 426, 425, 266, 377, 400, 369, 322, 391, 269, 417, 465, 464, 386, 257, 258,\n 466, 260, 388, 456, 399, 419, 284, 332, 333, 417, 285, 8, 346, 340, 261, 413, 441, 285, 327, 460, 328, 355, 371, 329, 392, 439, 438, 382, 341, 256,\n 429, 420, 360, 364, 394, 379, 277, 343, 437, 443, 444, 283, 275, 440, 363, 431, 262, 369, 297, 338, 337, 273, 375, 321, 450, 451, 349, 446, 342, 467,\n 293, 334, 282, 458, 461, 462, 276, 353, 383, 308, 324, 325, 276, 300, 293, 372, 345, 447, 382, 398, 362, 352, 345, 340, 274, 1, 19, 456, 248, 281, 436,\n 427, 425, 381, 256, 252, 269, 391, 393, 200, 199, 428, 266, 330, 329, 287, 273, 422, 250, 462, 328, 258, 286, 384, 265, 353, 342, 387, 259, 257, 424,\n 431, 430, 342, 353, 276, 273, 335, 424, 292, 325, 307, 366, 447, 345, 271, 303, 302, 423, 266, 371, 294, 455, 460, 279, 278, 294, 271, 272, 304, 432,\n 434, 427, 272, 407, 408, 394, 430, 431, 395, 369, 400, 334, 333, 299, 351, 417, 168, 352, 280, 411, 325, 319, 320, 295, 296, 336, 319, 403, 404, 330,\n 348, 349, 293, 298, 333, 323, 454, 447, 15, 16, 315, 358, 429, 279, 14, 15, 316, 285, 336, 9, 329, 349, 350, 374, 380, 252, 318, 402, 403, 6, 197, 419,\n 318, 319, 325, 367, 364, 365, 435, 367, 397, 344, 438, 439, 272, 271, 311, 195, 5, 281, 273, 287, 291, 396, 428, 199, 311, 271, 268, 283, 444, 445,\n 373, 254, 339, 263, 466, 249, 282, 334, 296, 449, 347, 346, 264, 447, 454, 336, 296, 299, 338, 10, 151, 278, 439, 455, 292, 407, 415, 358, 371, 355,\n 340, 345, 372, 390, 249, 466, 346, 347, 280, 442, 443, 282, 19, 94, 370, 441, 442, 295, 248, 419, 197, 263, 255, 359, 440, 275, 274, 300, 383, 368,\n 351, 412, 465, 263, 467, 466, 301, 368, 389, 380, 374, 386, 395, 378, 379, 412, 351, 419, 436, 426, 322, 373, 390, 388, 2, 164, 393, 370, 462, 461,\n 164, 0, 267, 302, 11, 12, 374, 373, 387, 268, 12, 13, 293, 300, 301, 446, 261, 340, 385, 384, 381, 330, 266, 425, 426, 423, 391, 429, 355, 437, 391,\n 327, 326, 440, 457, 438, 341, 382, 362, 459, 457, 461, 434, 430, 394, 414, 463, 362, 396, 369, 262, 354, 461, 457, 316, 403, 402, 315, 404, 403, 314,\n 405, 404, 313, 406, 405, 421, 418, 406, 366, 401, 361, 306, 408, 407, 291, 409, 408, 287, 410, 409, 432, 436, 410, 434, 416, 411, 264, 368, 383, 309,\n 438, 457, 352, 376, 401, 274, 275, 4, 421, 428, 262, 294, 327, 358, 433, 416, 367, 289, 455, 439, 462, 370, 326, 2, 326, 370, 305, 460, 455, 254,\n 449, 448, 255, 261, 446, 253, 450, 449, 252, 451, 450, 256, 452, 451, 341, 453, 452, 413, 464, 463, 441, 413, 414, 258, 442, 441, 257, 443, 442, 259,\n 444, 443, 260, 445, 444, 467, 342, 445, 459, 458, 250, 289, 392, 290, 290, 328, 460, 376, 433, 435, 250, 290, 392, 411, 416, 433, 341, 463, 464, 453,\n 464, 465, 357, 465, 412, 343, 412, 399, 360, 363, 440, 437, 399, 456, 420, 456, 363, 401, 435, 288, 372, 383, 353, 339, 255, 249, 448, 261, 255, 133,\n 243, 190, 133, 155, 112, 33, 246, 247, 33, 130, 25, 398, 384, 286, 362, 398, 414, 362, 463, 341, 263, 359, 467, 263, 249, 255, 466, 467, 260, 75, 60,\n 166, 238, 239, 79, 162, 127, 139, 72, 11, 37, 121, 232, 120, 73, 72, 39, 114, 128, 47, 233, 232, 128, 103, 104, 67, 152, 175, 148, 173, 157, 155,\n 119, 118, 101, 74, 73, 40, 107, 9, 108, 49, 48, 131, 32, 194, 211, 184, 74, 185, 191, 80, 183, 185, 40, 186, 119, 230, 118, 210, 202, 214, 84, 83, 17,\n 77, 76, 146, 161, 160, 30, 190, 56, 173, 182, 106, 194, 138, 135, 192, 129, 203, 98, 54, 21, 68, 5, 51, 4, 145, 144, 23, 90, 77, 91, 207, 205, 187, 83,\n 201, 18, 181, 91, 182, 180, 90, 181, 16, 85, 17, 205, 206, 36, 176, 148, 140, 165, 92, 39, 245, 193, 244, 27, 159, 28, 30, 247, 161, 174, 236, 196,\n 103, 54, 104, 55, 193, 8, 111, 117, 31, 221, 189, 55, 240, 98, 99, 142, 126, 100, 219, 166, 218, 112, 155, 26, 198, 209, 131, 169, 135, 150, 114, 47,\n 217, 224, 223, 53, 220, 45, 134, 32, 211, 140, 109, 67, 108, 146, 43, 91, 231, 230, 120, 113, 226, 247, 105, 63, 52, 241, 238, 242, 124, 46, 156, 95,\n 78, 96, 70, 46, 63, 116, 143, 227, 116, 123, 111, 1, 44, 19, 3, 236, 51, 207, 216, 205, 26, 154, 22, 165, 39, 167, 199, 200, 208, 101, 36, 100, 43,\n 57, 202, 242, 20, 99, 56, 28, 157, 124, 35, 113, 29, 160, 27, 211, 204, 210, 124, 113, 46, 106, 43, 204, 96, 62, 77, 227, 137, 116, 73, 41, 72, 36, 203,\n 142, 235, 64, 240, 48, 49, 64, 42, 41, 74, 214, 212, 207, 183, 42, 184, 210, 169, 211, 140, 170, 176, 104, 105, 69, 193, 122, 168, 50, 123, 187, 89, 96,\n 90, 66, 65, 107, 179, 89, 180, 119, 101, 120, 68, 63, 104, 234, 93, 227, 16, 15, 85, 209, 129, 49, 15, 14, 86, 107, 55, 9, 120, 100, 121, 153, 145, 22,\n 178, 88, 179, 197, 6, 196, 89, 88, 96, 135, 138, 136, 138, 215, 172, 218, 115, 219, 41, 42, 81, 5, 195, 51, 57, 43, 61, 208, 171, 199, 41, 81, 38,\n 224, 53, 225, 24, 144, 110, 105, 52, 66, 118, 229, 117, 227, 34, 234, 66, 107, 69, 10, 109, 151, 219, 48, 235, 183, 62, 191, 142, 129, 126, 116, 111,\n 143, 7, 163, 246, 118, 117, 50, 223, 222, 52, 94, 19, 141, 222, 221, 65, 196, 3, 197, 45, 220, 44, 156, 70, 139, 188, 122, 245, 139, 71, 162, 145,\n 153, 159, 149, 170, 150, 122, 188, 196, 206, 216, 92, 163, 144, 161, 164, 2, 167, 242, 141, 241, 0, 164, 37, 11, 72, 12, 144, 145, 160, 12, 38, 13, 70,\n 63, 71, 31, 226, 111, 157, 158, 154, 36, 101, 205, 203, 206, 165, 126, 209, 217, 98, 165, 97, 237, 220, 218, 237, 239, 241, 210, 214, 169, 140, 171, 32,\n 241, 125, 237, 179, 86, 178, 180, 85, 179, 181, 84, 180, 182, 83, 181, 194, 201, 182, 177, 137, 132, 184, 76, 183, 185, 61, 184, 186, 57, 185, 216, 212,\n 186, 192, 214, 187, 139, 34, 156, 218, 79, 237, 147, 123, 177, 45, 44, 4, 208, 201, 32, 98, 64, 129, 192, 213, 138, 235, 59, 219, 141, 242, 97, 97, 2,\n 141, 240, 75, 235, 229, 24, 228, 31, 25, 226, 230, 23, 229, 231, 22, 230, 232, 26, 231, 233, 112, 232, 244, 189, 243, 189, 221, 190, 222, 28, 221,\n 223, 27, 222, 224, 29, 223, 225, 30, 224, 113, 247, 225, 99, 60, 240, 213, 147, 215, 60, 20, 166, 192, 187, 213, 243, 112, 244, 244, 233, 245, 245,\n 128, 188, 188, 114, 174, 134, 131, 220, 174, 217, 236, 236, 198, 134, 215, 177, 58, 156, 143, 124, 25, 110, 7, 31, 228, 25, 264, 356, 368, 0, 11, 267,\n 451, 452, 349, 267, 302, 269, 350, 357, 277, 350, 452, 357, 299, 333, 297, 396, 175, 377, 381, 384, 382, 280, 347, 330, 269, 303, 270, 151, 9, 337,\n 344, 278, 360, 424, 418, 431, 270, 304, 409, 272, 310, 407, 322, 270, 410, 449, 450, 347, 432, 422, 434, 18, 313, 17, 291, 306, 375, 259, 387, 260,\n 424, 335, 418, 434, 364, 416, 391, 423, 327, 301, 251, 298, 275, 281, 4, 254, 373, 253, 375, 307, 321, 280, 425, 411, 200, 421, 18, 335, 321, 406,\n 321, 320, 405, 314, 315, 17, 423, 426, 266, 396, 377, 369, 270, 322, 269, 413, 417, 464, 385, 386, 258, 248, 456, 419, 298, 284, 333, 168, 417, 8,\n 448, 346, 261, 417, 413, 285, 326, 327, 328, 277, 355, 329, 309, 392, 438, 381, 382, 256, 279, 429, 360, 365, 364, 379, 355, 277, 437, 282, 443, 283,\n 281, 275, 363, 395, 431, 369, 299, 297, 337, 335, 273, 321, 348, 450, 349, 359, 446, 467, 283, 293, 282, 250, 458, 462, 300, 276, 383, 292, 308, 325,\n 283, 276, 293, 264, 372, 447, 346, 352, 340, 354, 274, 19, 363, 456, 281, 426, 436, 425, 380, 381, 252, 267, 269, 393, 421, 200, 428, 371, 266, 329,\n 432, 287, 422, 290, 250, 328, 385, 258, 384, 446, 265, 342, 386, 387, 257, 422, 424, 430, 445, 342, 276, 422, 273, 424, 306, 292, 307, 352, 366, 345,\n 268, 271, 302, 358, 423, 371, 327, 294, 460, 331, 279, 294, 303, 271, 304, 436, 432, 427, 304, 272, 408, 395, 394, 431, 378, 395, 400, 296, 334, 299,\n 6, 351, 168, 376, 352, 411, 307, 325, 320, 285, 295, 336, 320, 319, 404, 329, 330, 349, 334, 293, 333, 366, 323, 447, 316, 15, 315, 331, 358, 279,\n 317, 14, 316, 8, 285, 9, 277, 329, 350, 253, 374, 252, 319, 318, 403, 351, 6, 419, 324, 318, 325, 397, 367, 365, 288, 435, 397, 278, 344, 439, 310,\n 272, 311, 248, 195, 281, 375, 273, 291, 175, 396, 199, 312, 311, 268, 276, 283, 445, 390, 373, 339, 295, 282, 296, 448, 449, 346, 356, 264, 454, 337,\n 336, 299, 337, 338, 151, 294, 278, 455, 308, 292, 415, 429, 358, 355, 265, 340, 372, 388, 390, 466, 352, 346, 280, 295, 442, 282, 354, 19, 370, 285,\n 441, 295, 195, 248, 197, 457, 440, 274, 301, 300, 368, 417, 351, 465, 251, 301, 389, 385, 380, 386, 394, 395, 379, 399, 412, 419, 410, 436, 322, 387,\n 373, 388, 326, 2, 393, 354, 370, 461, 393, 164, 267, 268, 302, 12, 386, 374, 387, 312, 268, 13, 298, 293, 301, 265, 446, 340, 380, 385, 381, 280, 330,\n 425, 322, 426, 391, 420, 429, 437, 393, 391, 326, 344, 440, 438, 458, 459, 461, 364, 434, 394, 428, 396, 262, 274, 354, 457, 317, 316, 402, 316, 315,\n 403, 315, 314, 404, 314, 313, 405, 313, 421, 406, 323, 366, 361, 292, 306, 407, 306, 291, 408, 291, 287, 409, 287, 432, 410, 427, 434, 411, 372, 264,\n 383, 459, 309, 457, 366, 352, 401, 1, 274, 4, 418, 421, 262, 331, 294, 358, 435, 433, 367, 392, 289, 439, 328, 462, 326, 94, 2, 370, 289, 305, 455, 339,\n 254, 448, 359, 255, 446, 254, 253, 449, 253, 252, 450, 252, 256, 451, 256, 341, 452, 414, 413, 463, 286, 441, 414, 286, 258, 441, 258, 257, 442, 257,\n 259, 443, 259, 260, 444, 260, 467, 445, 309, 459, 250, 305, 289, 290, 305, 290, 460, 401, 376, 435, 309, 250, 392, 376, 411, 433, 453, 341, 464, 357,\n 453, 465, 343, 357, 412, 437, 343, 399, 344, 360, 440, 420, 437, 456, 360, 420, 363, 361, 401, 288, 265, 372, 353, 390, 339, 249, 339, 448, 255];\n\nexport const TRI68 = [0, 1, 36, 0, 36, 17, 1, 2, 41, 1, 41, 36, 2, 3, 31, 2, 31, 41, 3, 4, 48, 3, 48, 31, 4, 5, 48, 5, 6, 48, 6, 7, 59, 6, 59, 48, 7, 8, 58, 7, 58, 59,\n 8, 9, 56, 8, 56, 57, 8, 57, 58, 9, 10, 55, 9, 55, 56, 10, 11, 54, 10, 54, 55, 11, 12, 54, 12, 13, 54, 13, 14, 35, 13, 35, 54, 14, 15, 46, 14, 46, 35, 15, 16,\n 45, 15, 45, 46, 16, 26, 45, 17, 36, 18, 18, 37, 19, 18, 36, 37, 19, 38, 20, 19, 37, 38, 20, 39, 21, 20, 38, 39, 21, 39, 27, 22, 42, 23, 22, 27, 42, 23, 43, 24,\n 23, 42, 43, 24, 44, 25, 24, 43, 44, 25, 45, 26, 25, 44, 45, 27, 39, 28, 27, 28, 42, 28, 39, 29, 28, 29, 42, 29, 31, 30, 29, 30, 35, 29, 40, 31, 29, 35, 47, 29,\n 39, 40, 29, 47, 42, 30, 31, 32, 30, 32, 33, 30, 33, 34, 30, 34, 35, 31, 50, 32, 31, 40, 41, 31, 48, 49, 31, 49, 50, 32, 51, 33, 32, 50, 51, 33, 51, 34, 34, 52,\n 35, 34, 51, 52, 35, 46, 47, 35, 52, 53, 35, 53, 54, 36, 41, 37, 37, 40, 38, 37, 41, 40, 38, 40, 39, 42, 47, 43, 43, 47, 44, 44, 46, 45, 44, 47, 46, 48, 60, 49,\n 48, 59, 60, 49, 61, 50, 49, 60, 61, 50, 62, 51, 50, 61, 62, 51, 62, 52, 52, 63, 53, 52, 62, 63, 53, 64, 54, 53, 63, 64, 54, 64, 55, 55, 65, 56, 55, 64, 65, 56,\n 66, 57, 56, 65, 66, 57, 66, 58, 58, 67, 59, 58, 66, 67, 59, 67, 60, 60, 67, 61, 61, 66, 62, 61, 67, 66, 62, 66, 63, 63, 65, 64, 63, 66, 65, 21, 27, 22];\n\nexport const TRI33 = [\n /* eyes */ 0, 8, 7, 7, 8, 1, 2, 10, 9, 9, 10, 3,\n /* brows */ 17, 0, 18, 18, 0, 7, 18, 7, 19, 19, 7, 1, 19, 1, 11, 19, 11, 20, 21, 3, 22, 21, 9, 3, 20, 9, 21, 20, 2, 9, 20, 11, 2,\n /* 4head */ 23, 17, 18, 25, 21, 22, 24, 19, 20, 24, 18, 19, 24, 20, 21, 24, 23, 18, 24, 21, 25,\n /* nose */ 11, 12, 4, 11, 4, 13, 1, 12, 11, 11, 13, 2, 12, 14, 4, 4, 14, 13,\n /* up-lip */ 14, 5, 15, 14, 15, 6, 12, 5, 14, 14, 6, 13,\n /* cheeks */ 8, 12, 1, 2, 13, 10, 8, 26, 12, 10, 13, 27, 26, 5, 12, 13, 6, 27, 0, 26, 8, 10, 27, 3,\n /* chin */ 5, 32, 16, 16, 32, 6, 5, 30, 32, 6, 32, 31,\n /* cont */ 26, 30, 5, 27, 6, 31, 0, 28, 26, 3, 27, 29, 17, 28, 0, 3, 29, 22, 23, 28, 17, 22, 29, 25, 28, 30, 26, 27, 31, 29,\n];\n\nexport const TRI7 = [0, 4, 1, 2, 4, 3, 4, 5, 6];\n\nexport const VTX68 = [\n /* cont */ 127, 234, 132, 58, 172, 150, 149, 148, 152, 377, 378, 379, 397, 288, 361, 454, 356,\n /* brows */ 70, 63, 105, 66, 107, 336, 296, 334, 293, 300,\n /* nose */ 168, 6, 195, 4, 98, 97, 2, 326, 327,\n /* eyes */ 33, 160, 158, 133, 153, 144, 362, 385, 387, 263, 373, 380,\n /* lip */ 57, 40, 37, 0, 267, 270, 287, 321, 314, 17, 84, 91,\n /* mouth */ 78, 81, 13, 311, 308, 402, 14, 178,\n];\n\nexport const VTX33 = [33, 133, 362, 263, 1, 62, 308, 159, 145, 386, 374, 6, 102, 331, 2, 13, 14, 70, 105, 107, 336, 334, 300, 54, 10, 284, 50, 280, 234, 454, 58, 288, 152];\n\nexport const VTX7 = [33, 133, 362, 263, 1, 78, 308];\n\nexport const UV68 = VTX68.map((x) => UV468[x]);\n\nexport const UV33 = VTX33.map((x) => UV468[x]);\n\nexport const UV7 = VTX7.map((x) => UV468[x]);\n", "/* eslint-disable class-methods-use-this */\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as bounding from './box';\nimport * as util from './util';\nimport * as coords from './coords';\n\nconst LANDMARKS_COUNT = 468;\nconst MESH_MOUTH_INDEX = 13;\nconst MESH_KEYPOINTS_LINE_OF_SYMMETRY_INDICES = [MESH_MOUTH_INDEX, coords.MESH_ANNOTATIONS['midwayBetweenEyes'][0]];\nconst BLAZEFACE_MOUTH_INDEX = 3;\nconst BLAZEFACE_NOSE_INDEX = 2;\nconst BLAZEFACE_KEYPOINTS_LINE_OF_SYMMETRY_INDICES = [BLAZEFACE_MOUTH_INDEX, BLAZEFACE_NOSE_INDEX];\nconst LEFT_EYE_OUTLINE = coords.MESH_ANNOTATIONS['leftEyeLower0'];\nconst LEFT_EYE_BOUNDS = [LEFT_EYE_OUTLINE[0], LEFT_EYE_OUTLINE[LEFT_EYE_OUTLINE.length - 1]];\nconst RIGHT_EYE_OUTLINE = coords.MESH_ANNOTATIONS['rightEyeLower0'];\nconst RIGHT_EYE_BOUNDS = [RIGHT_EYE_OUTLINE[0], RIGHT_EYE_OUTLINE[RIGHT_EYE_OUTLINE.length - 1]];\nconst IRIS_UPPER_CENTER_INDEX = 3;\nconst IRIS_LOWER_CENTER_INDEX = 4;\nconst IRIS_IRIS_INDEX = 71;\nconst IRIS_NUM_COORDINATES = 76;\n\n// Replace the raw coordinates returned by facemesh with refined iris model coordinates. Update the z coordinate to be an average of the original and the new. This produces the best visual effect.\nfunction replaceRawCoordinates(rawCoords, newCoords, prefix, keys = null) {\n for (let i = 0; i < coords.MESH_TO_IRIS_INDICES_MAP.length; i++) {\n const { key, indices } = coords.MESH_TO_IRIS_INDICES_MAP[i];\n const originalIndices = coords.MESH_ANNOTATIONS[`${prefix}${key}`];\n // @ts-ignore\n if (!keys || keys.includes(key)) {\n for (let j = 0; j < indices.length; j++) {\n const index = indices[j];\n rawCoords[originalIndices[j]] = [\n newCoords[index][0], newCoords[index][1],\n (newCoords[index][2] + rawCoords[originalIndices[j]][2]) / 2,\n ];\n }\n }\n }\n}\n// The Pipeline coordinates between the bounding box and skeleton models.\nexport class Pipeline {\n storedBoxes: any;\n runsWithoutFaceDetector: number;\n boundingBoxDetector: any;\n meshDetector: any;\n irisModel: any;\n meshWidth: number;\n meshHeight: number;\n irisSize: number;\n irisEnlarge: number;\n skipped: number;\n detectedFaces: number;\n\n constructor(boundingBoxDetector, meshDetector, irisModel, config) {\n // An array of facial bounding boxes.\n this.storedBoxes = [];\n this.runsWithoutFaceDetector = 0;\n this.boundingBoxDetector = boundingBoxDetector;\n this.meshDetector = meshDetector;\n this.irisModel = irisModel;\n this.meshWidth = config.face.mesh.inputSize;\n this.meshHeight = config.face.mesh.inputSize;\n this.irisSize = config.face.iris.inputSize;\n this.irisEnlarge = 2.3;\n this.skipped = 0;\n this.detectedFaces = 0;\n }\n\n transformRawCoords(rawCoords, box, angle, rotationMatrix) {\n const boxSize = bounding.getBoxSize({ startPoint: box.startPoint, endPoint: box.endPoint });\n const scaleFactor = [boxSize[0] / this.meshWidth, boxSize[1] / this.meshHeight];\n const coordsScaled = rawCoords.map((coord) => ([\n scaleFactor[0] * (coord[0] - this.meshWidth / 2),\n scaleFactor[1] * (coord[1] - this.meshHeight / 2), coord[2],\n ]));\n const coordsRotationMatrix = (angle !== 0) ? util.buildRotationMatrix(angle, [0, 0]) : util.IDENTITY_MATRIX;\n const coordsRotated = (angle !== 0) ? coordsScaled.map((coord) => ([...util.rotatePoint(coord, coordsRotationMatrix), coord[2]])) : coordsScaled;\n const inverseRotationMatrix = (angle !== 0) ? util.invertTransformMatrix(rotationMatrix) : util.IDENTITY_MATRIX;\n const boxCenter = [...bounding.getBoxCenter({ startPoint: box.startPoint, endPoint: box.endPoint }), 1];\n return coordsRotated.map((coord) => ([\n coord[0] + util.dot(boxCenter, inverseRotationMatrix[0]),\n coord[1] + util.dot(boxCenter, inverseRotationMatrix[1]),\n coord[2],\n ]));\n }\n\n getLeftToRightEyeDepthDifference(rawCoords) {\n const leftEyeZ = rawCoords[LEFT_EYE_BOUNDS[0]][2];\n const rightEyeZ = rawCoords[RIGHT_EYE_BOUNDS[0]][2];\n return leftEyeZ - rightEyeZ;\n }\n\n // Returns a box describing a cropped region around the eye fit for passing to the iris model.\n getEyeBox(rawCoords, face, eyeInnerCornerIndex, eyeOuterCornerIndex, flip = false) {\n const box = bounding.squarifyBox(bounding.enlargeBox(this.calculateLandmarksBoundingBox([rawCoords[eyeInnerCornerIndex], rawCoords[eyeOuterCornerIndex]]), this.irisEnlarge));\n const boxSize = bounding.getBoxSize(box);\n let crop = tf.image.cropAndResize(face, [[\n box.startPoint[1] / this.meshHeight,\n box.startPoint[0] / this.meshWidth, box.endPoint[1] / this.meshHeight,\n box.endPoint[0] / this.meshWidth,\n ]], [0], [this.irisSize, this.irisSize]);\n if (flip) {\n crop = tf.image.flipLeftRight(crop);\n }\n return { box, boxSize, crop };\n }\n\n // Given a cropped image of an eye, returns the coordinates of the contours surrounding the eye and the iris.\n getEyeCoords(eyeData, eyeBox, eyeBoxSize, flip = false) {\n const eyeRawCoords: Array = [];\n for (let i = 0; i < IRIS_NUM_COORDINATES; i++) {\n const x = eyeData[i * 3];\n const y = eyeData[i * 3 + 1];\n const z = eyeData[i * 3 + 2];\n eyeRawCoords.push([\n (flip ? (1 - (x / this.irisSize)) : (x / this.irisSize)) * eyeBoxSize[0] + eyeBox.startPoint[0],\n (y / this.irisSize) * eyeBoxSize[1] + eyeBox.startPoint[1], z,\n ]);\n }\n return { rawCoords: eyeRawCoords, iris: eyeRawCoords.slice(IRIS_IRIS_INDEX) };\n }\n\n // The z-coordinates returned for the iris are unreliable, so we take the z values from the surrounding keypoints.\n getAdjustedIrisCoords(rawCoords, irisCoords, direction) {\n const upperCenterZ = rawCoords[coords.MESH_ANNOTATIONS[`${direction}EyeUpper0`][IRIS_UPPER_CENTER_INDEX]][2];\n const lowerCenterZ = rawCoords[coords.MESH_ANNOTATIONS[`${direction}EyeLower0`][IRIS_LOWER_CENTER_INDEX]][2];\n const averageZ = (upperCenterZ + lowerCenterZ) / 2;\n // Iris indices: 0: center | 1: right | 2: above | 3: left | 4: below\n return irisCoords.map((coord, i) => {\n let z = averageZ;\n if (i === 2) {\n z = upperCenterZ;\n } else if (i === 4) {\n z = lowerCenterZ;\n }\n return [coord[0], coord[1], z];\n });\n }\n\n async predict(input, config) {\n let useFreshBox = false;\n // run new detector every skipFrames unless we only want box to start with\n let detector;\n if ((this.skipped === 0) || (this.skipped > config.face.detector.skipFrames) || !config.face.mesh.enabled || !config.videoOptimized) {\n detector = await this.boundingBoxDetector.getBoundingBoxes(input);\n this.skipped = 0;\n }\n if (config.videoOptimized) this.skipped++;\n\n // if detector result count doesn't match current working set, use it to reset current working set\n if (detector && detector.boxes && (!config.face.mesh.enabled || (detector.boxes.length !== this.detectedFaces) && (this.detectedFaces !== config.face.detector.maxFaces))) {\n this.storedBoxes = [];\n this.detectedFaces = 0;\n for (const possible of detector.boxes) {\n this.storedBoxes.push({ startPoint: possible.box.startPoint.dataSync(), endPoint: possible.box.endPoint.dataSync(), landmarks: possible.landmarks, confidence: possible.confidence });\n }\n if (this.storedBoxes.length > 0) useFreshBox = true;\n }\n\n if (useFreshBox) {\n if (!detector || !detector.boxes || (detector.boxes.length === 0)) {\n this.storedBoxes = [];\n this.detectedFaces = 0;\n return null;\n }\n for (let i = 0; i < this.storedBoxes.length; i++) {\n const scaledBox = bounding.scaleBoxCoordinates({ startPoint: this.storedBoxes[i].startPoint, endPoint: this.storedBoxes[i].endPoint }, detector.scaleFactor);\n const enlargedBox = bounding.enlargeBox(scaledBox);\n const squarifiedBox = bounding.squarifyBox(enlargedBox);\n const landmarks = this.storedBoxes[i].landmarks.arraySync();\n const confidence = this.storedBoxes[i].confidence;\n this.storedBoxes[i] = { ...squarifiedBox, confidence, landmarks };\n }\n this.runsWithoutFaceDetector = 0;\n }\n if (detector && detector.boxes) {\n detector.boxes.forEach((prediction) => {\n prediction.box.startPoint.dispose();\n prediction.box.endPoint.dispose();\n prediction.landmarks.dispose();\n });\n }\n\n // log('face', `skipped: ${this.skipped} max: ${config.face.detector.maxFaces} detected: ${this.detectedFaces} stored: ${this.storedBoxes.length} new: ${detector?.boxes?.length}`);\n let results = tf.tidy(() => this.storedBoxes.map((box, i) => {\n // The facial bounding box landmarks could come either from blazeface (if we are using a fresh box), or from the mesh model (if we are reusing an old box).\n let face;\n let angle = 0;\n let rotationMatrix;\n if (config.face.detector.rotation) {\n const [indexOfMouth, indexOfForehead] = (box.landmarks.length >= LANDMARKS_COUNT) ? MESH_KEYPOINTS_LINE_OF_SYMMETRY_INDICES : BLAZEFACE_KEYPOINTS_LINE_OF_SYMMETRY_INDICES;\n angle = util.computeRotation(box.landmarks[indexOfMouth], box.landmarks[indexOfForehead]);\n const faceCenter = bounding.getBoxCenter({ startPoint: box.startPoint, endPoint: box.endPoint });\n const faceCenterNormalized = [faceCenter[0] / input.shape[2], faceCenter[1] / input.shape[1]];\n const rotatedImage = tf.image.rotateWithOffset(input, angle, 0, faceCenterNormalized);\n rotationMatrix = util.buildRotationMatrix(-angle, faceCenter);\n face = bounding.cutBoxFromImageAndResize({ startPoint: box.startPoint, endPoint: box.endPoint }, rotatedImage, [this.meshHeight, this.meshWidth]).div(255);\n } else {\n rotationMatrix = util.IDENTITY_MATRIX;\n const cloned = input.clone();\n face = bounding.cutBoxFromImageAndResize({ startPoint: box.startPoint, endPoint: box.endPoint }, cloned, [this.meshHeight, this.meshWidth]).div(255);\n }\n\n // if we're not going to produce mesh, don't spend time with further processing\n if (!config.face.mesh.enabled) {\n const prediction = {\n coords: null,\n box,\n faceConfidence: null,\n confidence: box.confidence,\n image: face,\n };\n return prediction;\n }\n\n const [, confidence, contourCoords] = this.meshDetector.predict(face); // The first returned tensor represents facial contours, which are included in the coordinates.\n const faceConfidence = confidence.dataSync()[0];\n if (faceConfidence < config.face.detector.minConfidence) return null; // if below confidence just exit\n const coordsReshaped = tf.reshape(contourCoords, [-1, 3]);\n let rawCoords = coordsReshaped.arraySync();\n\n if (config.face.iris.enabled) {\n const { box: leftEyeBox, boxSize: leftEyeBoxSize, crop: leftEyeCrop } = this.getEyeBox(rawCoords, face, LEFT_EYE_BOUNDS[0], LEFT_EYE_BOUNDS[1], true);\n const { box: rightEyeBox, boxSize: rightEyeBoxSize, crop: rightEyeCrop } = this.getEyeBox(rawCoords, face, RIGHT_EYE_BOUNDS[0], RIGHT_EYE_BOUNDS[1]);\n const eyePredictions = this.irisModel.predict(tf.concat([leftEyeCrop, rightEyeCrop]));\n const eyePredictionsData = eyePredictions.dataSync();\n const leftEyeData = eyePredictionsData.slice(0, IRIS_NUM_COORDINATES * 3);\n const { rawCoords: leftEyeRawCoords, iris: leftIrisRawCoords } = this.getEyeCoords(leftEyeData, leftEyeBox, leftEyeBoxSize, true);\n const rightEyeData = eyePredictionsData.slice(IRIS_NUM_COORDINATES * 3);\n const { rawCoords: rightEyeRawCoords, iris: rightIrisRawCoords } = this.getEyeCoords(rightEyeData, rightEyeBox, rightEyeBoxSize);\n const leftToRightEyeDepthDifference = this.getLeftToRightEyeDepthDifference(rawCoords);\n if (Math.abs(leftToRightEyeDepthDifference) < 30) { // User is looking straight ahead.\n replaceRawCoordinates(rawCoords, leftEyeRawCoords, 'left');\n replaceRawCoordinates(rawCoords, rightEyeRawCoords, 'right');\n // If the user is looking to the left or to the right, the iris coordinates tend to diverge too much from the mesh coordinates for them to be merged. So we only update a single contour line above and below the eye.\n } else if (leftToRightEyeDepthDifference < 1) { // User is looking towards the right.\n // @ts-ignore\n replaceRawCoordinates(rawCoords, leftEyeRawCoords, 'left', ['EyeUpper0', 'EyeLower0']);\n } else { // User is looking towards the left.\n // @ts-ignore\n replaceRawCoordinates(rawCoords, rightEyeRawCoords, 'right', ['EyeUpper0', 'EyeLower0']);\n }\n const adjustedLeftIrisCoords = this.getAdjustedIrisCoords(rawCoords, leftIrisRawCoords, 'left');\n const adjustedRightIrisCoords = this.getAdjustedIrisCoords(rawCoords, rightIrisRawCoords, 'right');\n rawCoords = rawCoords.concat(adjustedLeftIrisCoords).concat(adjustedRightIrisCoords);\n }\n\n const transformedCoordsData = this.transformRawCoords(rawCoords, box, angle, rotationMatrix);\n const landmarksBox = bounding.enlargeBox(this.calculateLandmarksBoundingBox(transformedCoordsData));\n const squarifiedLandmarksBox = bounding.squarifyBox(landmarksBox);\n const transformedCoords = tf.tensor2d(transformedCoordsData);\n const prediction = {\n coords: transformedCoords,\n box: landmarksBox,\n faceConfidence,\n confidence: box.confidence,\n image: face,\n rawCoords,\n };\n if (!config.face.mesh.returnRawData) delete prediction.rawCoords;\n this.storedBoxes[i] = { ...squarifiedLandmarksBox, landmarks: transformedCoords.arraySync(), confidence: box.confidence, faceConfidence };\n\n return prediction;\n }));\n results = results.filter((a) => a !== null);\n this.detectedFaces = results.length;\n return results;\n }\n\n calculateLandmarksBoundingBox(landmarks) {\n const xs = landmarks.map((d) => d[0]);\n const ys = landmarks.map((d) => d[1]);\n const startPoint = [Math.min(...xs), Math.min(...ys)];\n const endPoint = [Math.max(...xs), Math.max(...ys)];\n return { startPoint, endPoint, landmarks };\n }\n}\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as profile from '../profile';\n\nexport class FaceBoxes {\n enlarge: number;\n model: any;\n config: any;\n\n constructor(model, config) {\n this.enlarge = 1.1;\n this.model = model;\n this.config = config;\n }\n\n async estimateFaces(input, config) {\n if (config) this.config = config;\n const results: Array<{ confidence: number, box: any, boxRaw: any, image: any }> = [];\n const resizeT = tf.image.resizeBilinear(input, [this.config.face.detector.inputSize, this.config.face.detector.inputSize]);\n const castT = resizeT.toInt();\n let scores;\n let boxes;\n if (!config.profile) {\n const [scoresT, boxesT, numT] = await this.model.executeAsync(castT);\n scores = scoresT.dataSync();\n const squeezeT = boxesT.squeeze();\n boxes = squeezeT.arraySync();\n scoresT.dispose();\n boxesT.dispose();\n squeezeT.dispose();\n numT.dispose();\n } else {\n const profileData = await tf.profile(() => this.model.executeAsync(castT));\n scores = profileData.result[0].dataSync();\n const squeezeT = profileData.result[1].squeeze();\n boxes = squeezeT.arraySync();\n profileData.result.forEach((t) => t.dispose());\n profile.run('faceboxes', profileData);\n }\n castT.dispose();\n resizeT.dispose();\n for (const i in boxes) {\n if (scores[i] && scores[i] > this.config.face.detector.minConfidence) {\n const crop = [boxes[i][0] / this.enlarge, boxes[i][1] / this.enlarge, boxes[i][2] * this.enlarge, boxes[i][3] * this.enlarge];\n const boxRaw = [crop[1], crop[0], (crop[3]) - (crop[1]), (crop[2]) - (crop[0])];\n const box = [\n parseInt((boxRaw[0] * input.shape[2]).toString()),\n parseInt((boxRaw[1] * input.shape[1]).toString()),\n parseInt((boxRaw[2] * input.shape[2]).toString()),\n parseInt((boxRaw[3] * input.shape[1]).toString())];\n const resized = tf.image.cropAndResize(input, [crop], [0], [this.config.face.detector.inputSize, this.config.face.detector.inputSize]);\n const image = resized.div([255]);\n resized.dispose();\n results.push({ confidence: scores[i], box, boxRaw: this.config.face.mesh.returnRawData ? boxRaw : null, image });\n // add mesh, meshRaw, annotations,\n }\n }\n return results;\n }\n}\n\nexport async function load(config) {\n const model = await tf.loadGraphModel(config.face.detector.modelPath);\n log(`load model: ${config.face.detector.modelPath.match(/\\/(.*)\\./)[1]}`);\n const faceboxes = new FaceBoxes(model, config);\n if (config.face.mesh.enabled) log(`load model: ${config.face.mesh.modelPath.match(/\\/(.*)\\./)[1]}`);\n if (config.face.iris.enabled) log(`load model: ${config.face.iris.modelPath.match(/\\/(.*)\\./)[1]}`);\n return faceboxes;\n}\n", "import { log } from './log';\n\nexport const data = {};\n\nexport function run(name: string, raw: any) {\n if (!raw || !raw.kernels) return;\n const maxResults = 5;\n const time = raw.kernels\n .filter((a) => a.kernelTimeMs > 0)\n .reduce((a, b) => a += b.kernelTimeMs, 0);\n const slowest = raw.kernels\n .map((a, i) => { a.id = i; return a; })\n .filter((a) => a.kernelTimeMs > 0)\n .sort((a, b) => b.kernelTimeMs - a.kernelTimeMs);\n const largest = raw.kernels\n .map((a, i) => { a.id = i; return a; })\n .filter((a) => a.totalBytesSnapshot > 0)\n .sort((a, b) => b.totalBytesSnapshot - a.totalBytesSnapshot);\n if (slowest.length > maxResults) slowest.length = maxResults;\n if (largest.length > maxResults) largest.length = maxResults;\n const res = { newBytes: raw.newBytes, newTensors: raw.newTensors, peakBytes: raw.peakBytes, numKernelOps: raw.kernels.length, timeKernelOps: time, slowestKernelOps: slowest, largestKernelOps: largest };\n data[name] = res;\n log('Human profiler', name, res);\n}\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as profile from '../profile';\n\nlet model;\nlet last = { age: 0 };\nlet skipped = Number.MAX_SAFE_INTEGER;\n\nexport async function load(config) {\n if (!model) {\n model = await tf.loadGraphModel(config.face.age.modelPath);\n log(`load model: ${config.face.age.modelPath.match(/\\/(.*)\\./)[1]}`);\n }\n return model;\n}\n\nexport async function predict(image, config) {\n if (!model) return null;\n if ((skipped < config.face.age.skipFrames) && config.videoOptimized && last.age && (last.age > 0)) {\n skipped++;\n return last;\n }\n if (config.videoOptimized) skipped = 0;\n else skipped = Number.MAX_SAFE_INTEGER;\n return new Promise(async (resolve) => {\n /*\n const zoom = [0, 0]; // 0..1 meaning 0%..100%\n const box = [[\n (image.shape[1] * zoom[0]) / image.shape[1],\n (image.shape[2] * zoom[1]) / image.shape[2],\n (image.shape[1] - (image.shape[1] * zoom[0])) / image.shape[1],\n (image.shape[2] - (image.shape[2] * zoom[1])) / image.shape[2],\n ]];\n const resize = tf.image.cropAndResize(image, box, [0], [config.face.age.inputSize, config.face.age.inputSize]);\n */\n const resize = tf.image.resizeBilinear(image, [config.face.age.inputSize, config.face.age.inputSize], false);\n const enhance = tf.mul(resize, [255.0]);\n tf.dispose(resize);\n\n let ageT;\n const obj = { age: 0 };\n\n if (!config.profile) {\n if (config.face.age.enabled) ageT = await model.predict(enhance);\n } else {\n const profileAge = config.face.age.enabled ? await tf.profile(() => model.predict(enhance)) : {};\n ageT = profileAge.result.clone();\n profileAge.result.dispose();\n profile.run('age', profileAge);\n }\n enhance.dispose();\n\n if (ageT) {\n const data = ageT.dataSync();\n obj.age = Math.trunc(10 * data[0]) / 10;\n }\n ageT.dispose();\n\n last = obj;\n resolve(obj);\n });\n}\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as profile from '../profile';\n\nlet model;\nlet last = { gender: '' };\nlet skipped = Number.MAX_SAFE_INTEGER;\nlet alternative = false;\n\n// tuning values\nconst rgb = [0.2989, 0.5870, 0.1140]; // factors for red/green/blue colors when converting to grayscale\n\nexport async function load(config) {\n if (!model) {\n model = await tf.loadGraphModel(config.face.gender.modelPath);\n alternative = model.inputs[0].shape[3] === 1;\n log(`load model: ${config.face.gender.modelPath.match(/\\/(.*)\\./)[1]}`);\n }\n return model;\n}\n\nexport async function predict(image, config) {\n if (!model) return null;\n if ((skipped < config.face.gender.skipFrames) && config.videoOptimized && last.gender !== '') {\n skipped++;\n return last;\n }\n if (config.videoOptimized) skipped = 0;\n else skipped = Number.MAX_SAFE_INTEGER;\n return new Promise(async (resolve) => {\n const resize = tf.image.resizeBilinear(image, [config.face.gender.inputSize, config.face.gender.inputSize], false);\n let enhance;\n if (alternative) {\n enhance = tf.tidy(() => {\n const [red, green, blue] = tf.split(resize, 3, 3);\n const redNorm = tf.mul(red, rgb[0]);\n const greenNorm = tf.mul(green, rgb[1]);\n const blueNorm = tf.mul(blue, rgb[2]);\n const grayscale = tf.addN([redNorm, greenNorm, blueNorm]);\n return grayscale.sub(0.5).mul(2);\n });\n } else {\n enhance = tf.mul(resize, [255.0]);\n }\n tf.dispose(resize);\n\n let genderT;\n const obj = { gender: '', confidence: 0 };\n\n if (!config.profile) {\n if (config.face.gender.enabled) genderT = await model.predict(enhance);\n } else {\n const profileGender = config.face.gender.enabled ? await tf.profile(() => model.predict(enhance)) : {};\n genderT = profileGender.result.clone();\n profileGender.result.dispose();\n profile.run('gender', profileGender);\n }\n enhance.dispose();\n\n if (genderT) {\n const data = genderT.dataSync();\n if (alternative) {\n // returns two values 0..1, bigger one is prediction\n const confidence = Math.trunc(100 * Math.abs(data[0] - data[1])) / 100;\n if (confidence > config.face.gender.minConfidence) {\n obj.gender = data[0] > data[1] ? 'female' : 'male';\n obj.confidence = confidence;\n }\n } else {\n // returns one value 0..1, .5 is prediction threshold\n const confidence = Math.trunc(200 * Math.abs((data[0] - 0.5))) / 100;\n if (confidence > config.face.gender.minConfidence) {\n obj.gender = data[0] <= 0.5 ? 'female' : 'male';\n obj.confidence = Math.min(0.99, confidence);\n }\n }\n }\n genderT.dispose();\n\n last = obj;\n resolve(obj);\n });\n}\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as profile from '../profile';\n\nconst annotations = ['angry', 'disgust', 'fear', 'happy', 'sad', 'surprise', 'neutral'];\nlet model;\nlet last: Array<{ score: number, emotion: string }> = [];\nlet skipped = Number.MAX_SAFE_INTEGER;\n\n// tuning values\nconst rgb = [0.2989, 0.5870, 0.1140]; // factors for red/green/blue colors when converting to grayscale\nconst scale = 1; // score multiplication factor\n\nexport async function load(config) {\n if (!model) {\n model = await tf.loadGraphModel(config.face.emotion.modelPath);\n log(`load model: ${config.face.emotion.modelPath.match(/\\/(.*)\\./)[1]}`);\n }\n return model;\n}\n\nexport async function predict(image, config) {\n if (!model) return null;\n if ((skipped < config.face.emotion.skipFrames) && config.videoOptimized && (last.length > 0)) {\n skipped++;\n return last;\n }\n if (config.videoOptimized) skipped = 0;\n else skipped = Number.MAX_SAFE_INTEGER;\n return new Promise(async (resolve) => {\n /*\n const zoom = [0, 0]; // 0..1 meaning 0%..100%\n const box = [[\n (image.shape[1] * zoom[0]) / image.shape[1],\n (image.shape[2] * zoom[1]) / image.shape[2],\n (image.shape[1] - (image.shape[1] * zoom[0])) / image.shape[1],\n (image.shape[2] - (image.shape[2] * zoom[1])) / image.shape[2],\n ]];\n const resize = tf.image.cropAndResize(image, box, [0], [config.face.emotion.inputSize, config.face.emotion.inputSize]);\n */\n const resize = tf.image.resizeBilinear(image, [config.face.emotion.inputSize, config.face.emotion.inputSize], false);\n const [red, green, blue] = tf.split(resize, 3, 3);\n resize.dispose();\n // weighted rgb to grayscale: https://www.mathworks.com/help/matlab/ref/rgb2gray.html\n const redNorm = tf.mul(red, rgb[0]);\n const greenNorm = tf.mul(green, rgb[1]);\n const blueNorm = tf.mul(blue, rgb[2]);\n red.dispose();\n green.dispose();\n blue.dispose();\n const grayscale = tf.addN([redNorm, greenNorm, blueNorm]);\n redNorm.dispose();\n greenNorm.dispose();\n blueNorm.dispose();\n const normalize = tf.tidy(() => grayscale.sub(0.5).mul(2));\n grayscale.dispose();\n const obj: Array<{ score: number, emotion: string }> = [];\n if (config.face.emotion.enabled) {\n let data;\n if (!config.profile) {\n const emotionT = await model.predict(normalize);\n data = emotionT.dataSync();\n tf.dispose(emotionT);\n } else {\n const profileData = await tf.profile(() => model.predict(normalize));\n data = profileData.result.dataSync();\n profileData.result.dispose();\n profile.run('emotion', profileData);\n }\n for (let i = 0; i < data.length; i++) {\n if (scale * data[i] > config.face.emotion.minConfidence) obj.push({ score: Math.min(0.99, Math.trunc(100 * scale * data[i]) / 100), emotion: annotations[i] });\n }\n obj.sort((a, b) => b.score - a.score);\n }\n normalize.dispose();\n last = obj;\n resolve(obj);\n });\n}\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as profile from '../profile';\n\n// based on https://github.com/sirius-ai/MobileFaceNet_TF\n// model converted from https://github.com/sirius-ai/MobileFaceNet_TF/files/3551493/FaceMobileNet192_train_false.zip\n\nlet model;\n\nexport async function load(config) {\n if (!model) {\n model = await tf.loadGraphModel(config.face.embedding.modelPath);\n log(`load model: ${config.face.embedding.modelPath.match(/\\/(.*)\\./)[1]}`);\n }\n return model;\n}\n\nexport function simmilarity(embedding1, embedding2) {\n if (!embedding1 || embedding2) return 0;\n if (embedding1?.length === 0 || embedding2?.length === 0) return 0;\n if (embedding1?.length !== embedding2?.length) return 0;\n // general minkowski distance\n // euclidean distance is limited case where order is 2\n const order = 2;\n const distance = 10.0 * ((embedding1.map((val, i) => (val - embedding2[i])).reduce((dist, diff) => dist + (diff ** order), 0) ** (1 / order)));\n return (Math.trunc(1000 * (1 - distance)) / 1000);\n}\n\nexport async function predict(image, config) {\n if (!model) return null;\n return new Promise(async (resolve) => {\n const resize = tf.image.resizeBilinear(image, [config.face.embedding.inputSize, config.face.embedding.inputSize], false);\n // const normalize = tf.tidy(() => resize.div(127.5).sub(0.5)); // this is -0.5...0.5 ???\n let data: Array<[]> = [];\n if (config.face.embedding.enabled) {\n if (!config.profile) {\n const embeddingT = await model.predict({ img_inputs: resize });\n data = [...embeddingT.dataSync()]; // convert object array to standard array\n tf.dispose(embeddingT);\n } else {\n const profileData = await tf.profile(() => model.predict({ img_inputs: resize }));\n data = [...profileData.result.dataSync()];\n profileData.result.dispose();\n profile.run('emotion', profileData);\n }\n }\n resize.dispose();\n // normalize.dispose();\n resolve(data);\n });\n}\n", "import { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as modelBase from './modelBase';\nimport * as decodeMultiple from './decodeMultiple';\nimport * as decodePose from './decodePose';\nimport * as util from './util';\n\nasync function estimateMultiple(input, res, config) {\n return new Promise(async (resolve) => {\n const height = input.shape[1];\n const width = input.shape[2];\n const allTensorBuffers = await util.toTensorBuffers3D([res.heatmapScores, res.offsets, res.displacementFwd, res.displacementBwd]);\n const scoresBuffer = allTensorBuffers[0];\n const offsetsBuffer = allTensorBuffers[1];\n const displacementsFwdBuffer = allTensorBuffers[2];\n const displacementsBwdBuffer = allTensorBuffers[3];\n const poses = await decodeMultiple.decodeMultiplePoses(scoresBuffer, offsetsBuffer, displacementsFwdBuffer, displacementsBwdBuffer, config);\n const scaled = util.scaleAndFlipPoses(poses, [height, width], [config.body.inputSize, config.body.inputSize]);\n resolve(scaled);\n });\n}\n\nasync function estimateSingle(input, res, config) {\n return new Promise(async (resolve) => {\n const height = input.shape[1];\n const width = input.shape[2];\n const pose = await decodePose.decodeSinglePose(res.heatmapScores, res.offsets, config);\n const poses = [pose];\n const scaled = util.scaleAndFlipPoses(poses, [height, width], [config.body.inputSize, config.body.inputSize]);\n resolve(scaled);\n });\n}\n\nexport class PoseNet {\n baseModel: any;\n constructor(model) {\n this.baseModel = model;\n }\n\n async estimatePoses(input, config) {\n const resized = util.resizeTo(input, [config.body.inputSize, config.body.inputSize]);\n const res = this.baseModel.predict(resized, config);\n\n const poses = (config.body.maxDetections < 2) ? await estimateSingle(input, res, config) : await estimateMultiple(input, res, config);\n\n res.heatmapScores.dispose();\n res.offsets.dispose();\n res.displacementFwd.dispose();\n res.displacementBwd.dispose();\n resized.dispose();\n\n return poses;\n }\n\n dispose() {\n this.baseModel.dispose();\n }\n}\n\nexport async function load(config) {\n const model = await tf.loadGraphModel(config.body.modelPath);\n const mobilenet = new modelBase.BaseModel(model);\n log(`load model: ${config.body.modelPath.match(/\\/(.*)\\./)[1]}`);\n return new PoseNet(mobilenet);\n}\n", "import * as tf from '../../dist/tfjs.esm.js';\n\nconst imageNetMean = [-123.15, -115.90, -103.06];\n\nfunction nameOutputResultsMobileNet(results) {\n const [offsets, heatmap, displacementFwd, displacementBwd] = results;\n return { offsets, heatmap, displacementFwd, displacementBwd };\n}\n\nfunction nameOutputResultsResNet(results) {\n const [displacementFwd, displacementBwd, offsets, heatmap] = results;\n return { offsets, heatmap, displacementFwd, displacementBwd };\n}\n\nexport class BaseModel {\n model: any;\n constructor(model) {\n this.model = model;\n }\n\n predict(input, config) {\n return tf.tidy(() => {\n const asFloat = (config.body.modelType === 'ResNet') ? input.toFloat().add(imageNetMean) : input.toFloat().div(127.5).sub(1.0);\n const asBatch = asFloat.expandDims(0);\n const results = this.model.predict(asBatch);\n const results3d = results.map((y) => y.squeeze([0]));\n const namedResults = (config.body.modelType === 'ResNet') ? nameOutputResultsResNet(results3d) : nameOutputResultsMobileNet(results3d);\n return {\n heatmapScores: namedResults.heatmap.sigmoid(),\n offsets: namedResults.offsets,\n displacementFwd: namedResults.displacementFwd,\n displacementBwd: namedResults.displacementBwd,\n };\n });\n }\n\n dispose() {\n this.model.dispose();\n }\n}\n", "// algorithm based on Coursera Lecture from Algorithms, Part 1: https://www.coursera.org/learn/algorithms-part1/lecture/ZjoSM/heapsort\nfunction half(k) {\n return Math.floor(k / 2);\n}\nexport class MaxHeap {\n priorityQueue: any;\n numberOfElements: number;\n getElementValue: any;\n\n constructor(maxSize, getElementValue) {\n this.priorityQueue = new Array(maxSize);\n this.numberOfElements = -1;\n this.getElementValue = getElementValue;\n }\n\n enqueue(x) {\n this.priorityQueue[++this.numberOfElements] = x;\n this.swim(this.numberOfElements);\n }\n\n dequeue() {\n const max = this.priorityQueue[0];\n this.exchange(0, this.numberOfElements--);\n this.sink(0);\n this.priorityQueue[this.numberOfElements + 1] = null;\n return max;\n }\n\n empty() {\n return this.numberOfElements === -1;\n }\n\n size() {\n return this.numberOfElements + 1;\n }\n\n all() {\n return this.priorityQueue.slice(0, this.numberOfElements + 1);\n }\n\n max() {\n return this.priorityQueue[0];\n }\n\n swim(k) {\n while (k > 0 && this.less(half(k), k)) {\n this.exchange(k, half(k));\n k = half(k);\n }\n }\n\n sink(k) {\n while (2 * k <= this.numberOfElements) {\n let j = 2 * k;\n if (j < this.numberOfElements && this.less(j, j + 1)) j++;\n if (!this.less(k, j)) break;\n this.exchange(k, j);\n k = j;\n }\n }\n\n getValueAt(i) {\n return this.getElementValue(this.priorityQueue[i]);\n }\n\n less(i, j) {\n return this.getValueAt(i) < this.getValueAt(j);\n }\n\n exchange(i, j) {\n const t = this.priorityQueue[i];\n this.priorityQueue[i] = this.priorityQueue[j];\n this.priorityQueue[j] = t;\n }\n}\n", "import * as heapSort from './heapSort';\n\nfunction scoreIsMaximumInLocalWindow(keypointId, score, heatmapY, heatmapX, localMaximumRadius, scores) {\n const [height, width] = scores.shape;\n let localMaximum = true;\n const yStart = Math.max(heatmapY - localMaximumRadius, 0);\n const yEnd = Math.min(heatmapY + localMaximumRadius + 1, height);\n for (let yCurrent = yStart; yCurrent < yEnd; ++yCurrent) {\n const xStart = Math.max(heatmapX - localMaximumRadius, 0);\n const xEnd = Math.min(heatmapX + localMaximumRadius + 1, width);\n for (let xCurrent = xStart; xCurrent < xEnd; ++xCurrent) {\n if (scores.get(yCurrent, xCurrent, keypointId) > score) {\n localMaximum = false;\n break;\n }\n }\n if (!localMaximum) break;\n }\n return localMaximum;\n}\n\nexport function buildPartWithScoreQueue(scoreThreshold, localMaximumRadius, scores) {\n const [height, width, numKeypoints] = scores.shape;\n const queue = new heapSort.MaxHeap(height * width * numKeypoints, ({ score }) => score);\n for (let heatmapY = 0; heatmapY < height; ++heatmapY) {\n for (let heatmapX = 0; heatmapX < width; ++heatmapX) {\n for (let keypointId = 0; keypointId < numKeypoints; ++keypointId) {\n const score = scores.get(heatmapY, heatmapX, keypointId);\n // Only consider parts with score greater or equal to threshold as root candidates.\n if (score < scoreThreshold) continue;\n // Only consider keypoints whose score is maximum in a local window.\n if (scoreIsMaximumInLocalWindow(keypointId, score, heatmapY, heatmapX, localMaximumRadius, scores)) {\n queue.enqueue({ score, part: { heatmapY, heatmapX, id: keypointId } });\n }\n }\n }\n }\n return queue;\n}\n", "import * as keypoints from './keypoints';\nimport * as vectors from './vectors';\nimport * as decoders from './decoders';\n\nconst parentChildrenTuples = keypoints.poseChain.map(([parentJoinName, childJoinName]) => ([keypoints.partIds[parentJoinName], keypoints.partIds[childJoinName]]));\nconst parentToChildEdges = parentChildrenTuples.map(([, childJointId]) => childJointId);\nconst childToParentEdges = parentChildrenTuples.map(([parentJointId]) => parentJointId);\nfunction getDisplacement(edgeId, point, displacements) {\n const numEdges = displacements.shape[2] / 2;\n return {\n y: displacements.get(point.y, point.x, edgeId),\n x: displacements.get(point.y, point.x, numEdges + edgeId),\n };\n}\nfunction getStridedIndexNearPoint(point, outputStride, height, width) {\n return {\n y: vectors.clamp(Math.round(point.y / outputStride), 0, height - 1),\n x: vectors.clamp(Math.round(point.x / outputStride), 0, width - 1),\n };\n}\n\nfunction traverseToTargetKeypoint(edgeId, sourceKeypoint, targetKeypointId, scoresBuffer, offsets, outputStride, displacements, offsetRefineStep = 2) {\n const [height, width] = scoresBuffer.shape;\n // Nearest neighbor interpolation for the source->target displacements.\n const sourceKeypointIndices = getStridedIndexNearPoint(sourceKeypoint.position, outputStride, height, width);\n const displacement = getDisplacement(edgeId, sourceKeypointIndices, displacements);\n const displacedPoint = vectors.addVectors(sourceKeypoint.position, displacement);\n let targetKeypoint = displacedPoint;\n for (let i = 0; i < offsetRefineStep; i++) {\n const targetKeypointIndices = getStridedIndexNearPoint(targetKeypoint, outputStride, height, width);\n const offsetPoint = vectors.getOffsetPoint(targetKeypointIndices.y, targetKeypointIndices.x, targetKeypointId, offsets);\n targetKeypoint = vectors.addVectors({\n x: targetKeypointIndices.x * outputStride,\n y: targetKeypointIndices.y * outputStride,\n }, { x: offsetPoint.x, y: offsetPoint.y });\n }\n const targetKeyPointIndices = getStridedIndexNearPoint(targetKeypoint, outputStride, height, width);\n const score = scoresBuffer.get(targetKeyPointIndices.y, targetKeyPointIndices.x, targetKeypointId);\n return { position: targetKeypoint, part: keypoints.partNames[targetKeypointId], score };\n}\n\nexport function decodePose(root, scores, offsets, outputStride, displacementsFwd, displacementsBwd) {\n const numParts = scores.shape[2];\n const numEdges = parentToChildEdges.length;\n const instanceKeypoints = new Array(numParts);\n // Start a new detection instance at the position of the root.\n const { part: rootPart, score: rootScore } = root;\n const rootPoint = vectors.getImageCoords(rootPart, outputStride, offsets);\n instanceKeypoints[rootPart.id] = {\n score: rootScore,\n part: keypoints.partNames[rootPart.id],\n position: rootPoint,\n };\n // Decode the part positions upwards in the tree, following the backward displacements.\n for (let edge = numEdges - 1; edge >= 0; --edge) {\n const sourceKeypointId = parentToChildEdges[edge];\n const targetKeypointId = childToParentEdges[edge];\n if (instanceKeypoints[sourceKeypointId] && !instanceKeypoints[targetKeypointId]) {\n instanceKeypoints[targetKeypointId] = traverseToTargetKeypoint(edge, instanceKeypoints[sourceKeypointId], targetKeypointId, scores, offsets, outputStride, displacementsBwd);\n }\n }\n // Decode the part positions downwards in the tree, following the forward displacements.\n for (let edge = 0; edge < numEdges; ++edge) {\n const sourceKeypointId = childToParentEdges[edge];\n const targetKeypointId = parentToChildEdges[edge];\n if (instanceKeypoints[sourceKeypointId] && !instanceKeypoints[targetKeypointId]) {\n instanceKeypoints[targetKeypointId] = traverseToTargetKeypoint(edge, instanceKeypoints[sourceKeypointId], targetKeypointId, scores, offsets, outputStride, displacementsFwd);\n }\n }\n return instanceKeypoints;\n}\n\nexport async function decodeSinglePose(heatmapScores, offsets, config) {\n let totalScore = 0.0;\n const heatmapValues = decoders.argmax2d(heatmapScores);\n const allTensorBuffers = await Promise.all([heatmapScores.buffer(), offsets.buffer(), heatmapValues.buffer()]);\n const scoresBuffer = allTensorBuffers[0];\n const offsetsBuffer = allTensorBuffers[1];\n const heatmapValuesBuffer = allTensorBuffers[2];\n const offsetPoints = decoders.getOffsetPoints(heatmapValuesBuffer, config.body.outputStride, offsetsBuffer);\n const offsetPointsBuffer = await offsetPoints.buffer();\n const keypointConfidence = Array.from(decoders.getPointsConfidence(scoresBuffer, heatmapValuesBuffer));\n const instanceKeypoints = keypointConfidence.map((score, i) => {\n totalScore += score;\n return {\n position: {\n y: offsetPointsBuffer.get(i, 0),\n x: offsetPointsBuffer.get(i, 1),\n },\n part: keypoints.partNames[i],\n score,\n };\n });\n const filteredKeypoints = instanceKeypoints.filter((kpt) => kpt.score > config.body.scoreThreshold);\n heatmapValues.dispose();\n offsetPoints.dispose();\n return { keypoints: filteredKeypoints, score: totalScore / instanceKeypoints.length };\n}\n", "import * as kpt from './keypoints';\n\nexport function getOffsetPoint(y, x, keypoint, offsets) {\n return {\n y: offsets.get(y, x, keypoint),\n x: offsets.get(y, x, keypoint + kpt.NUM_KEYPOINTS),\n };\n}\n\nexport function getImageCoords(part, outputStride, offsets) {\n const { heatmapY, heatmapX, id: keypoint } = part;\n const { y, x } = getOffsetPoint(heatmapY, heatmapX, keypoint, offsets);\n return {\n x: part.heatmapX * outputStride + x,\n y: part.heatmapY * outputStride + y,\n };\n}\n\nexport function fillArray(element, size) {\n const result = new Array(size);\n for (let i = 0; i < size; i++) {\n result[i] = element;\n }\n return result;\n}\n\nexport function clamp(a, min, max) {\n if (a < min) return min;\n if (a > max) return max;\n return a;\n}\n\nexport function squaredDistance(y1, x1, y2, x2) {\n const dy = y2 - y1;\n const dx = x2 - x1;\n return dy * dy + dx * dx;\n}\n\nexport function addVectors(a, b) {\n return { x: a.x + b.x, y: a.y + b.y };\n}\n\nexport function clampVector(a, min, max) {\n return { y: clamp(a.y, min, max), x: clamp(a.x, min, max) };\n}\n", "import * as tf from '../../dist/tfjs.esm.js';\nimport * as kpt from './keypoints';\n\nexport function getPointsConfidence(heatmapScores, heatMapCoords) {\n const numKeypoints = heatMapCoords.shape[0];\n const result = new Float32Array(numKeypoints);\n for (let keypoint = 0; keypoint < numKeypoints; keypoint++) {\n const y = heatMapCoords.get(keypoint, 0);\n const x = heatMapCoords.get(keypoint, 1);\n result[keypoint] = heatmapScores.get(y, x, keypoint);\n }\n return result;\n}\n\nfunction getOffsetPoint(y, x, keypoint, offsetsBuffer) {\n return {\n y: offsetsBuffer.get(y, x, keypoint),\n x: offsetsBuffer.get(y, x, keypoint + kpt.NUM_KEYPOINTS),\n };\n}\n\nexport function getOffsetVectors(heatMapCoordsBuffer, offsetsBuffer) {\n const result: Array = [];\n for (let keypoint = 0; keypoint < kpt.NUM_KEYPOINTS; keypoint++) {\n const heatmapY = heatMapCoordsBuffer.get(keypoint, 0).valueOf();\n const heatmapX = heatMapCoordsBuffer.get(keypoint, 1).valueOf();\n const { x, y } = getOffsetPoint(heatmapY, heatmapX, keypoint, offsetsBuffer);\n result.push(y);\n result.push(x);\n }\n return tf.tensor2d(result, [kpt.NUM_KEYPOINTS, 2]);\n}\n\nexport function getOffsetPoints(heatMapCoordsBuffer, outputStride, offsetsBuffer) {\n return tf.tidy(() => heatMapCoordsBuffer.toTensor().mul(tf.scalar(outputStride, 'int32')).toFloat().add(getOffsetVectors(heatMapCoordsBuffer, offsetsBuffer)));\n}\n\nfunction mod(a, b) {\n return tf.tidy(() => {\n const floored = a.div(tf.scalar(b, 'int32'));\n return a.sub(floored.mul(tf.scalar(b, 'int32')));\n });\n}\n\nexport function argmax2d(inputs) {\n const [height, width, depth] = inputs.shape;\n return tf.tidy(() => {\n const reshaped = inputs.reshape([height * width, depth]);\n const coords = reshaped.argMax(0);\n const yCoords = coords.div(tf.scalar(width, 'int32')).expandDims(1);\n const xCoords = mod(coords, width).expandDims(1);\n return tf.concat([yCoords, xCoords], 1);\n });\n}\n", "import * as buildParts from './buildParts';\nimport * as decodePose from './decodePose';\nimport * as vectors from './vectors';\n\nconst kLocalMaximumRadius = 1;\n\nfunction withinNmsRadiusOfCorrespondingPoint(poses, squaredNmsRadius, { x, y }, keypointId) {\n return poses.some(({ keypoints }) => {\n const correspondingKeypoint = keypoints[keypointId].position;\n return vectors.squaredDistance(y, x, correspondingKeypoint.y, correspondingKeypoint.x) <= squaredNmsRadius;\n });\n}\n\nfunction getInstanceScore(existingPoses, squaredNmsRadius, instanceKeypoints) {\n const notOverlappedKeypointScores = instanceKeypoints.reduce((result, { position, score }, keypointId) => {\n if (!withinNmsRadiusOfCorrespondingPoint(existingPoses, squaredNmsRadius, position, keypointId)) result += score;\n return result;\n }, 0.0);\n return notOverlappedKeypointScores / instanceKeypoints.length;\n}\n\nexport function decodeMultiplePoses(scoresBuffer, offsetsBuffer, displacementsFwdBuffer, displacementsBwdBuffer, config) {\n const poses: Array<{ keypoints: any, score: number }> = [];\n const queue = buildParts.buildPartWithScoreQueue(config.body.scoreThreshold, kLocalMaximumRadius, scoresBuffer);\n const squaredNmsRadius = config.body.nmsRadius ^ 2;\n // Generate at most maxDetections object instances per image in decreasing root part score order.\n while (poses.length < config.body.maxDetections && !queue.empty()) {\n // The top element in the queue is the next root candidate.\n const root = queue.dequeue();\n // Part-based non-maximum suppression: We reject a root candidate if it is within a disk of `nmsRadius` pixels from the corresponding part of a previously detected instance.\n const rootImageCoords = vectors.getImageCoords(root.part, config.body.outputStride, offsetsBuffer);\n if (withinNmsRadiusOfCorrespondingPoint(poses, squaredNmsRadius, rootImageCoords, root.part.id)) continue;\n // Else start a new detection instance at the position of the root.\n const keypoints = decodePose.decodePose(root, scoresBuffer, offsetsBuffer, config.body.outputStride, displacementsFwdBuffer, displacementsBwdBuffer);\n const score = getInstanceScore(poses, squaredNmsRadius, keypoints);\n if (score > config.body.scoreThreshold) poses.push({ keypoints, score });\n }\n return poses;\n}\n", "import * as kpt from './keypoints';\n\nexport function eitherPointDoesntMeetConfidence(a, b, minConfidence) {\n return (a < minConfidence || b < minConfidence);\n}\n\nexport function getAdjacentKeyPoints(keypoints, minConfidence) {\n return kpt.connectedPartIndices.reduce((result, [leftJoint, rightJoint]) => {\n if (eitherPointDoesntMeetConfidence(keypoints[leftJoint].score, keypoints[rightJoint].score, minConfidence)) {\n return result;\n }\n result.push([keypoints[leftJoint], keypoints[rightJoint]]);\n return result;\n }, []);\n}\n\nconst { NEGATIVE_INFINITY, POSITIVE_INFINITY } = Number;\nexport function getBoundingBox(keypoints) {\n return keypoints.reduce(({ maxX, maxY, minX, minY }, { position: { x, y } }) => ({\n maxX: Math.max(maxX, x),\n maxY: Math.max(maxY, y),\n minX: Math.min(minX, x),\n minY: Math.min(minY, y),\n }), {\n maxX: NEGATIVE_INFINITY,\n maxY: NEGATIVE_INFINITY,\n minX: POSITIVE_INFINITY,\n minY: POSITIVE_INFINITY,\n });\n}\n\nexport function getBoundingBoxPoints(keypoints) {\n const { minX, minY, maxX, maxY } = getBoundingBox(keypoints);\n return [{ x: minX, y: minY }, { x: maxX, y: minY }, { x: maxX, y: maxY }, { x: minX, y: maxY }];\n}\n\nexport async function toTensorBuffers3D(tensors) {\n return Promise.all(tensors.map((tensor) => tensor.buffer()));\n}\n\nexport function scalePose(pose, scaleY, scaleX) {\n return {\n score: pose.score,\n keypoints: pose.keypoints.map(({ score, part, position }) => ({\n score,\n part,\n position: { x: position.x * scaleX, y: position.y * scaleY },\n })),\n };\n}\n\nexport function resizeTo(image, [targetH, targetW]) {\n const input = image.squeeze(0);\n const resized = input.resizeBilinear([targetH, targetW]);\n input.dispose();\n return resized;\n}\n\nexport function scaleAndFlipPoses(poses, [height, width], [inputResolutionHeight, inputResolutionWidth]) {\n const scaledPoses = poses.map((pose) => scalePose(pose, height / inputResolutionHeight, width / inputResolutionWidth));\n return scaledPoses;\n}\n", "// https://storage.googleapis.com/tfjs-models/demos/handpose/index.html\n\nimport { log } from '../log';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as handdetector from './handdetector';\nimport * as handpipeline from './handpipeline';\nimport * as anchors from './anchors';\n\nconst MESH_ANNOTATIONS = {\n thumb: [1, 2, 3, 4],\n indexFinger: [5, 6, 7, 8],\n middleFinger: [9, 10, 11, 12],\n ringFinger: [13, 14, 15, 16],\n pinky: [17, 18, 19, 20],\n palmBase: [0],\n};\n\nexport class HandPose {\n handPipeline: any;\n\n constructor(handPipeline) {\n this.handPipeline = handPipeline;\n }\n\n static getAnnotations() {\n return MESH_ANNOTATIONS;\n }\n\n async estimateHands(input, config) {\n const predictions = await this.handPipeline.estimateHands(input, config);\n if (!predictions) return [];\n const hands: Array<{ confidence: number, box: any, landmarks: any, annotations: any }> = [];\n for (const prediction of predictions) {\n const annotations = {};\n if (prediction.landmarks) {\n for (const key of Object.keys(MESH_ANNOTATIONS)) {\n annotations[key] = MESH_ANNOTATIONS[key].map((index) => prediction.landmarks[index]);\n }\n }\n const box = prediction.box ? [\n Math.max(0, prediction.box.topLeft[0]),\n Math.max(0, prediction.box.topLeft[1]),\n Math.min(input.shape[2], prediction.box.bottomRight[0]) - prediction.box.topLeft[0],\n Math.min(input.shape[1], prediction.box.bottomRight[1]) - prediction.box.topLeft[1],\n ] : 0;\n hands.push({ confidence: prediction.confidence, box, landmarks: prediction.landmarks, annotations });\n }\n return hands;\n }\n}\n\nexport async function load(config) {\n const [handDetectorModel, handPoseModel] = await Promise.all([\n config.hand.enabled ? tf.loadGraphModel(config.hand.detector.modelPath, { fromTFHub: config.hand.detector.modelPath.includes('tfhub.dev') }) : null,\n config.hand.landmarks ? tf.loadGraphModel(config.hand.skeleton.modelPath, { fromTFHub: config.hand.skeleton.modelPath.includes('tfhub.dev') }) : null,\n ]);\n const handDetector = new handdetector.HandDetector(handDetectorModel, config.hand.inputSize, anchors.anchors);\n const handPipeline = new handpipeline.HandPipeline(handDetector, handPoseModel, config.hand.inputSize);\n const handPose = new HandPose(handPipeline);\n if (config.hand.enabled) log(`load model: ${config.hand.detector.modelPath.match(/\\/(.*)\\./)[1]}`);\n if (config.hand.landmarks) log(`load model: ${config.hand.skeleton.modelPath.match(/\\/(.*)\\./)[1]}`);\n return handPose;\n}\n", "import * as tf from '../../dist/tfjs.esm.js';\n\nexport function getBoxSize(box) {\n return [\n Math.abs(box.endPoint[0] - box.startPoint[0]),\n Math.abs(box.endPoint[1] - box.startPoint[1]),\n ];\n}\n\nexport function getBoxCenter(box) {\n return [\n box.startPoint[0] + (box.endPoint[0] - box.startPoint[0]) / 2,\n box.startPoint[1] + (box.endPoint[1] - box.startPoint[1]) / 2,\n ];\n}\n\nexport function cutBoxFromImageAndResize(box, image, cropSize) {\n const h = image.shape[1];\n const w = image.shape[2];\n const boxes = [[\n box.startPoint[1] / h,\n box.startPoint[0] / w,\n box.endPoint[1] / h,\n box.endPoint[0] / w,\n ]];\n return tf.image.cropAndResize(image, boxes, [0], cropSize);\n}\n\nexport function scaleBoxCoordinates(box, factor) {\n const startPoint = [box.startPoint[0] * factor[0], box.startPoint[1] * factor[1]];\n const endPoint = [box.endPoint[0] * factor[0], box.endPoint[1] * factor[1]];\n const palmLandmarks = box.palmLandmarks.map((coord) => {\n const scaledCoord = [coord[0] * factor[0], coord[1] * factor[1]];\n return scaledCoord;\n });\n return { startPoint, endPoint, palmLandmarks, confidence: box.confidence };\n}\n\nexport function enlargeBox(box, factor = 1.5) {\n const center = getBoxCenter(box);\n const size = getBoxSize(box);\n const newHalfSize = [factor * size[0] / 2, factor * size[1] / 2];\n const startPoint = [center[0] - newHalfSize[0], center[1] - newHalfSize[1]];\n const endPoint = [center[0] + newHalfSize[0], center[1] + newHalfSize[1]];\n return { startPoint, endPoint, palmLandmarks: box.palmLandmarks };\n}\n\nexport function squarifyBox(box) {\n const centers = getBoxCenter(box);\n const size = getBoxSize(box);\n const maxEdge = Math.max(...size);\n const halfSize = maxEdge / 2;\n const startPoint = [centers[0] - halfSize, centers[1] - halfSize];\n const endPoint = [centers[0] + halfSize, centers[1] + halfSize];\n return { startPoint, endPoint, palmLandmarks: box.palmLandmarks };\n}\n\nexport function shiftBox(box, shiftFactor) {\n const boxSize = [\n box.endPoint[0] - box.startPoint[0],\n box.endPoint[1] - box.startPoint[1],\n ];\n const shiftVector = [boxSize[0] * shiftFactor[0], boxSize[1] * shiftFactor[1]];\n const startPoint = [box.startPoint[0] + shiftVector[0], box.startPoint[1] + shiftVector[1]];\n const endPoint = [box.endPoint[0] + shiftVector[0], box.endPoint[1] + shiftVector[1]];\n return { startPoint, endPoint, palmLandmarks: box.palmLandmarks };\n}\n", "import * as tf from '../../dist/tfjs.esm.js';\nimport * as box from './box';\n\nexport class HandDetector {\n model: any;\n anchors: any;\n anchorsTensor: any;\n inputSizeTensor: any;\n doubleInputSizeTensor: any;\n\n constructor(model, inputSize, anchorsAnnotated) {\n this.model = model;\n this.anchors = anchorsAnnotated.map((anchor) => [anchor.x_center, anchor.y_center]);\n this.anchorsTensor = tf.tensor2d(this.anchors);\n this.inputSizeTensor = tf.tensor1d([inputSize, inputSize]);\n this.doubleInputSizeTensor = tf.tensor1d([inputSize * 2, inputSize * 2]);\n }\n\n normalizeBoxes(boxes) {\n return tf.tidy(() => {\n const boxOffsets = tf.slice(boxes, [0, 0], [-1, 2]);\n const boxSizes = tf.slice(boxes, [0, 2], [-1, 2]);\n const boxCenterPoints = tf.add(tf.div(boxOffsets, this.inputSizeTensor), this.anchorsTensor);\n const halfBoxSizes = tf.div(boxSizes, this.doubleInputSizeTensor);\n const startPoints = tf.mul(tf.sub(boxCenterPoints, halfBoxSizes), this.inputSizeTensor);\n const endPoints = tf.mul(tf.add(boxCenterPoints, halfBoxSizes), this.inputSizeTensor);\n return tf.concat2d([startPoints, endPoints], 1);\n });\n }\n\n normalizeLandmarks(rawPalmLandmarks, index) {\n return tf.tidy(() => {\n const landmarks = tf.add(tf.div(rawPalmLandmarks.reshape([-1, 7, 2]), this.inputSizeTensor), this.anchors[index]);\n return tf.mul(landmarks, this.inputSizeTensor);\n });\n }\n\n async getBoxes(input, config) {\n const batched = this.model.predict(input);\n const predictions = batched.squeeze();\n batched.dispose();\n const scoresT = tf.tidy(() => tf.sigmoid(tf.slice(predictions, [0, 0], [-1, 1])).squeeze());\n const scores = scoresT.dataSync();\n const rawBoxes = tf.slice(predictions, [0, 1], [-1, 4]);\n const boxes = this.normalizeBoxes(rawBoxes);\n rawBoxes.dispose();\n const filteredT = await tf.image.nonMaxSuppressionAsync(boxes, scores, config.hand.maxHands, config.hand.iouThreshold, config.hand.scoreThreshold);\n const filtered = filteredT.arraySync();\n\n scoresT.dispose();\n filteredT.dispose();\n const hands: Array<{ box: any, palmLandmarks: any, confidence: number }> = [];\n for (const index of filtered) {\n if (scores[index] >= config.hand.minConfidence) {\n const matchingBox = tf.slice(boxes, [index, 0], [1, -1]);\n const rawPalmLandmarks = tf.slice(predictions, [index, 5], [1, 14]);\n const palmLandmarks = tf.tidy(() => this.normalizeLandmarks(rawPalmLandmarks, index).reshape([-1, 2]));\n rawPalmLandmarks.dispose();\n hands.push({ box: matchingBox, palmLandmarks, confidence: scores[index] });\n }\n }\n predictions.dispose();\n boxes.dispose();\n return hands;\n }\n\n async estimateHandBounds(input, config) {\n const inputHeight = input.shape[1];\n const inputWidth = input.shape[2];\n const image = tf.tidy(() => input.resizeBilinear([config.hand.inputSize, config.hand.inputSize]).div(127.5).sub(1));\n const predictions = await this.getBoxes(image, config);\n image.dispose();\n const hands: Array<{}> = [];\n if (!predictions || predictions.length === 0) return hands;\n for (const prediction of predictions) {\n const boxes = prediction.box.dataSync();\n const startPoint = boxes.slice(0, 2);\n const endPoint = boxes.slice(2, 4);\n const palmLandmarks = prediction.palmLandmarks.arraySync();\n prediction.box.dispose();\n prediction.palmLandmarks.dispose();\n hands.push(box.scaleBoxCoordinates({ startPoint, endPoint, palmLandmarks, confidence: prediction.confidence }, [inputWidth / config.hand.inputSize, inputHeight / config.hand.inputSize]));\n }\n return hands;\n }\n}\n", "export function normalizeRadians(angle) {\n return angle - 2 * Math.PI * Math.floor((angle + Math.PI) / (2 * Math.PI));\n}\n\nexport function computeRotation(point1, point2) {\n const radians = Math.PI / 2 - Math.atan2(-(point2[1] - point1[1]), point2[0] - point1[0]);\n return normalizeRadians(radians);\n}\n\nexport const buildTranslationMatrix = (x, y) => [[1, 0, x], [0, 1, y], [0, 0, 1]];\n\nexport function dot(v1, v2) {\n let product = 0;\n for (let i = 0; i < v1.length; i++) {\n product += v1[i] * v2[i];\n }\n return product;\n}\n\nexport function getColumnFrom2DArr(arr, columnIndex) {\n const column: Array = [];\n for (let i = 0; i < arr.length; i++) {\n column.push(arr[i][columnIndex]);\n }\n return column;\n}\n\nexport function multiplyTransformMatrices(mat1, mat2) {\n const product: Array = [];\n const size = mat1.length;\n for (let row = 0; row < size; row++) {\n product.push([]);\n for (let col = 0; col < size; col++) {\n product[row].push(dot(mat1[row], getColumnFrom2DArr(mat2, col)));\n }\n }\n return product;\n}\n\nexport function buildRotationMatrix(rotation, center) {\n const cosA = Math.cos(rotation);\n const sinA = Math.sin(rotation);\n const rotationMatrix = [[cosA, -sinA, 0], [sinA, cosA, 0], [0, 0, 1]];\n const translationMatrix = buildTranslationMatrix(center[0], center[1]);\n const translationTimesRotation = multiplyTransformMatrices(translationMatrix, rotationMatrix);\n const negativeTranslationMatrix = buildTranslationMatrix(-center[0], -center[1]);\n return multiplyTransformMatrices(translationTimesRotation, negativeTranslationMatrix);\n}\n\nexport function invertTransformMatrix(matrix) {\n const rotationComponent = [[matrix[0][0], matrix[1][0]], [matrix[0][1], matrix[1][1]]];\n const translationComponent = [matrix[0][2], matrix[1][2]];\n const invertedTranslation = [\n -dot(rotationComponent[0], translationComponent),\n -dot(rotationComponent[1], translationComponent),\n ];\n return [\n rotationComponent[0].concat(invertedTranslation[0]),\n rotationComponent[1].concat(invertedTranslation[1]),\n [0, 0, 1],\n ];\n}\n\nexport function rotatePoint(homogeneousCoordinate, rotationMatrix) {\n return [\n dot(homogeneousCoordinate, rotationMatrix[0]),\n dot(homogeneousCoordinate, rotationMatrix[1]),\n ];\n}\n", "import * as tf from '../../dist/tfjs.esm.js';\nimport * as box from './box';\nimport * as util from './util';\n\n// const PALM_BOX_SHIFT_VECTOR = [0, -0.4];\nconst PALM_BOX_ENLARGE_FACTOR = 5; // default 3\n// const HAND_BOX_SHIFT_VECTOR = [0, -0.1]; // move detected hand box by x,y to ease landmark detection\nconst HAND_BOX_ENLARGE_FACTOR = 1.65; // default 1.65\nconst PALM_LANDMARK_IDS = [0, 5, 9, 13, 17, 1, 2];\nconst PALM_LANDMARKS_INDEX_OF_PALM_BASE = 0;\nconst PALM_LANDMARKS_INDEX_OF_MIDDLE_FINGER_BASE = 2;\n\nexport class HandPipeline {\n handDetector: any;\n landmarkDetector: any;\n inputSize: number;\n storedBoxes: any;\n skipped: number;\n detectedHands: number;\n\n constructor(handDetector, landmarkDetector, inputSize) {\n this.handDetector = handDetector;\n this.landmarkDetector = landmarkDetector;\n this.inputSize = inputSize;\n this.storedBoxes = [];\n this.skipped = 0;\n this.detectedHands = 0;\n }\n\n getBoxForPalmLandmarks(palmLandmarks, rotationMatrix) {\n const rotatedPalmLandmarks = palmLandmarks.map((coord) => util.rotatePoint([...coord, 1], rotationMatrix));\n const boxAroundPalm = this.calculateLandmarksBoundingBox(rotatedPalmLandmarks);\n // return box.enlargeBox(box.squarifyBox(box.shiftBox(boxAroundPalm, PALM_BOX_SHIFT_VECTOR)), PALM_BOX_ENLARGE_FACTOR);\n return box.enlargeBox(box.squarifyBox(boxAroundPalm), PALM_BOX_ENLARGE_FACTOR);\n }\n\n getBoxForHandLandmarks(landmarks) {\n const boundingBox = this.calculateLandmarksBoundingBox(landmarks);\n // const boxAroundHand = box.enlargeBox(box.squarifyBox(box.shiftBox(boundingBox, HAND_BOX_SHIFT_VECTOR)), HAND_BOX_ENLARGE_FACTOR);\n const boxAroundHand = box.enlargeBox(box.squarifyBox(boundingBox), HAND_BOX_ENLARGE_FACTOR);\n boxAroundHand.palmLandmarks = [];\n for (let i = 0; i < PALM_LANDMARK_IDS.length; i++) {\n boxAroundHand.palmLandmarks.push(landmarks[PALM_LANDMARK_IDS[i]].slice(0, 2));\n }\n return boxAroundHand;\n }\n\n transformRawCoords(rawCoords, box2, angle, rotationMatrix) {\n const boxSize = box.getBoxSize(box2);\n const scaleFactor = [boxSize[0] / this.inputSize, boxSize[1] / this.inputSize, (boxSize[0] + boxSize[1]) / this.inputSize / 2];\n const coordsScaled = rawCoords.map((coord) => [\n scaleFactor[0] * (coord[0] - this.inputSize / 2),\n scaleFactor[1] * (coord[1] - this.inputSize / 2),\n scaleFactor[2] * coord[2],\n ]);\n const coordsRotationMatrix = util.buildRotationMatrix(angle, [0, 0]);\n const coordsRotated = coordsScaled.map((coord) => {\n const rotated = util.rotatePoint(coord, coordsRotationMatrix);\n return [...rotated, coord[2]];\n });\n const inverseRotationMatrix = util.invertTransformMatrix(rotationMatrix);\n const boxCenter = [...box.getBoxCenter(box2), 1];\n const originalBoxCenter = [\n util.dot(boxCenter, inverseRotationMatrix[0]),\n util.dot(boxCenter, inverseRotationMatrix[1]),\n ];\n return coordsRotated.map((coord) => [\n coord[0] + originalBoxCenter[0],\n coord[1] + originalBoxCenter[1],\n coord[2],\n ]);\n }\n\n async estimateHands(image, config) {\n let useFreshBox = false;\n\n // run new detector every skipFrames unless we only want box to start with\n let boxes;\n if ((this.skipped === 0) || (this.skipped > config.hand.skipFrames) || !config.hand.landmarks || !config.videoOptimized) {\n boxes = await this.handDetector.estimateHandBounds(image, config);\n this.skipped = 0;\n }\n if (config.videoOptimized) this.skipped++;\n\n // if detector result count doesn't match current working set, use it to reset current working set\n if (boxes && (boxes.length > 0) && ((boxes.length !== this.detectedHands) && (this.detectedHands !== config.hand.maxHands) || !config.hand.landmarks)) {\n this.detectedHands = 0;\n this.storedBoxes = [...boxes];\n // for (const possible of boxes) this.storedBoxes.push(possible);\n if (this.storedBoxes.length > 0) useFreshBox = true;\n }\n const hands: Array<{}> = [];\n // log('hand', `skipped: ${this.skipped} max: ${config.hand.maxHands} detected: ${this.detectedHands} stored: ${this.storedBoxes.length} new: ${boxes?.length}`);\n\n // go through working set of boxes\n for (let i = 0; i < this.storedBoxes.length; i++) {\n const currentBox = this.storedBoxes[i];\n if (!currentBox) continue;\n if (config.hand.landmarks) {\n const angle = config.hand.rotation ? util.computeRotation(currentBox.palmLandmarks[PALM_LANDMARKS_INDEX_OF_PALM_BASE], currentBox.palmLandmarks[PALM_LANDMARKS_INDEX_OF_MIDDLE_FINGER_BASE]) : 0;\n const palmCenter = box.getBoxCenter(currentBox);\n const palmCenterNormalized = [palmCenter[0] / image.shape[2], palmCenter[1] / image.shape[1]];\n const rotatedImage = config.hand.rotation ? tf.image.rotateWithOffset(image, angle, 0, palmCenterNormalized) : image.clone();\n const rotationMatrix = util.buildRotationMatrix(-angle, palmCenter);\n const newBox = useFreshBox ? this.getBoxForPalmLandmarks(currentBox.palmLandmarks, rotationMatrix) : currentBox;\n const croppedInput = box.cutBoxFromImageAndResize(newBox, rotatedImage, [this.inputSize, this.inputSize]);\n const handImage = croppedInput.div(255);\n croppedInput.dispose();\n rotatedImage.dispose();\n const [confidenceT, keypoints] = await this.landmarkDetector.predict(handImage);\n handImage.dispose();\n const confidence = confidenceT.dataSync()[0];\n confidenceT.dispose();\n if (confidence >= config.hand.minConfidence) {\n const keypointsReshaped = tf.reshape(keypoints, [-1, 3]);\n const rawCoords = keypointsReshaped.arraySync();\n keypoints.dispose();\n keypointsReshaped.dispose();\n const coords = this.transformRawCoords(rawCoords, newBox, angle, rotationMatrix);\n const nextBoundingBox = this.getBoxForHandLandmarks(coords);\n this.storedBoxes[i] = nextBoundingBox;\n const result = {\n landmarks: coords,\n confidence,\n box: { topLeft: nextBoundingBox.startPoint, bottomRight: nextBoundingBox.endPoint },\n };\n hands.push(result);\n } else {\n this.storedBoxes[i] = null;\n }\n keypoints.dispose();\n } else {\n // const enlarged = box.enlargeBox(box.squarifyBox(box.shiftBox(currentBox, HAND_BOX_SHIFT_VECTOR)), HAND_BOX_ENLARGE_FACTOR);\n const enlarged = box.enlargeBox(box.squarifyBox(currentBox), HAND_BOX_ENLARGE_FACTOR);\n const result = {\n confidence: currentBox.confidence,\n box: { topLeft: enlarged.startPoint, bottomRight: enlarged.endPoint },\n };\n hands.push(result);\n }\n }\n this.storedBoxes = this.storedBoxes.filter((a) => a !== null);\n this.detectedHands = hands.length;\n return hands;\n }\n\n // eslint-disable-next-line class-methods-use-this\n calculateLandmarksBoundingBox(landmarks) {\n const xs = landmarks.map((d) => d[0]);\n const ys = landmarks.map((d) => d[1]);\n const startPoint = [Math.min(...xs), Math.min(...ys)];\n const endPoint = [Math.max(...xs), Math.max(...ys)];\n return { startPoint, endPoint };\n }\n}\n", "export const anchors = [\n {\n w: 1,\n h: 1,\n x_center: 0.015625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.015625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.046875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.046875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.078125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.078125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.109375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.109375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.140625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.140625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.171875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.171875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.203125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.203125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.234375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.234375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.265625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.265625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.296875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.296875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.328125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.328125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.359375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.359375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.390625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.390625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.421875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.421875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.453125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.453125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.484375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.484375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.515625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.515625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.546875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.546875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.578125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.578125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.609375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.609375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.640625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.640625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.671875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.671875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.703125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.703125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.734375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.734375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.765625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.765625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.796875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.796875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.828125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.828125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.859375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.859375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.890625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.890625,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.921875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.921875,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.953125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.953125,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.984375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.984375,\n y_center: 0.015625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.015625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.015625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.046875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.046875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.078125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.078125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.109375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.109375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.140625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.140625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.171875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.171875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.203125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.203125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.234375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.234375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.265625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.265625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.296875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.296875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.328125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.328125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.359375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.359375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.390625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.390625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.421875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.421875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.453125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.453125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.484375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.484375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.515625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.515625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.546875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.546875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.578125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.578125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.609375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.609375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.640625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.640625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.671875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.671875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.703125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.703125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.734375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.734375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.765625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.765625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.796875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.796875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.828125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.828125,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.859375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.859375,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.890625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.890625,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.921875,\n y_center: 0.046875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.921875,\n 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x_center: 0.0625,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.5625,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.6875,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.8125,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.0625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.1875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.3125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.4375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.5625,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.6875,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.8125,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.9375,\n },\n {\n w: 1,\n h: 1,\n x_center: 0.9375,\n y_center: 0.9375,\n },\n];\n", "export const body = (res) => {\n if (!res) return [];\n const gestures: Array<{ body: number, gesture: string }> = [];\n for (let i = 0; i < res.length; i++) {\n // raising hands\n const leftWrist = res[i].keypoints.find((a) => (a.part === 'leftWrist'));\n const rightWrist = res[i].keypoints.find((a) => (a.part === 'rightWrist'));\n const nose = res[i].keypoints.find((a) => (a.part === 'nose'));\n if (nose && leftWrist && rightWrist && (leftWrist.position.y < nose.position.y) && (rightWrist.position.y < nose.position.y)) gestures.push({ body: i, gesture: 'i give up' });\n else if (nose && leftWrist && (leftWrist.position.y < nose.position.y)) gestures.push({ body: i, gesture: 'raise left hand' });\n else if (nose && rightWrist && (rightWrist.position.y < nose.position.y)) gestures.push({ body: i, gesture: 'raise right hand' });\n\n // leaning\n const leftShoulder = res[i].keypoints.find((a) => (a.part === 'leftShoulder'));\n const rightShoulder = res[i].keypoints.find((a) => (a.part === 'rightShoulder'));\n if (leftShoulder && rightShoulder) gestures.push({ body: i, gesture: `leaning ${(leftShoulder.position.y > rightShoulder.position.y) ? 'left' : 'right'}` });\n }\n return gestures;\n};\n\nexport const face = (res) => {\n if (!res) return [];\n const gestures: Array<{ face: number, gesture: string }> = [];\n for (let i = 0; i < res.length; i++) {\n if (res[i].mesh && res[i].mesh.length > 0) {\n const eyeFacing = res[i].mesh[35][2] - res[i].mesh[263][2];\n if (Math.abs(eyeFacing) < 10) gestures.push({ face: i, gesture: 'facing camera' });\n else gestures.push({ face: i, gesture: `facing ${eyeFacing < 0 ? 'right' : 'left'}` });\n const openLeft = Math.abs(res[i].mesh[374][1] - res[i].mesh[386][1]) / Math.abs(res[i].mesh[443][1] - res[i].mesh[450][1]); // center of eye inner lid y coord div center of wider eye border y coord\n if (openLeft < 0.2) gestures.push({ face: i, gesture: 'blink left eye' });\n const openRight = Math.abs(res[i].mesh[145][1] - res[i].mesh[159][1]) / Math.abs(res[i].mesh[223][1] - res[i].mesh[230][1]); // center of eye inner lid y coord div center of wider eye border y coord\n if (openRight < 0.2) gestures.push({ face: i, gesture: 'blink right eye' });\n const mouthOpen = Math.min(100, 500 * Math.abs(res[i].mesh[13][1] - res[i].mesh[14][1]) / Math.abs(res[i].mesh[10][1] - res[i].mesh[152][1]));\n if (mouthOpen > 10) gestures.push({ face: i, gesture: `mouth ${Math.trunc(mouthOpen)}% open` });\n const chinDepth = res[i].mesh[152][2];\n if (Math.abs(chinDepth) > 10) gestures.push({ face: i, gesture: `head ${chinDepth < 0 ? 'up' : 'down'}` });\n }\n }\n return gestures;\n};\n\nexport const iris = (res) => {\n if (!res) return [];\n const gestures: Array<{ iris: number, gesture: string }> = [];\n for (let i = 0; i < res.length; i++) {\n if (!res[i].annotations || !res[i].annotations.leftEyeIris || !res[i].annotations.rightEyeIris) continue;\n const sizeXLeft = res[i].annotations.leftEyeIris[3][0] - res[i].annotations.leftEyeIris[1][0];\n const sizeYLeft = res[i].annotations.leftEyeIris[4][1] - res[i].annotations.leftEyeIris[2][1];\n const areaLeft = Math.abs(sizeXLeft * sizeYLeft);\n\n const sizeXRight = res[i].annotations.rightEyeIris[3][0] - res[i].annotations.rightEyeIris[1][0];\n const sizeYRight = res[i].annotations.rightEyeIris[4][1] - res[i].annotations.rightEyeIris[2][1];\n const areaRight = Math.abs(sizeXRight * sizeYRight);\n\n const difference = Math.abs(areaLeft - areaRight) / Math.max(areaLeft, areaRight);\n if (difference < 0.25) gestures.push({ iris: i, gesture: 'looking at camera' });\n }\n return gestures;\n};\n\nexport const hand = (res) => {\n if (!res) return [];\n const gestures: Array<{ hand: number, gesture: string }> = [];\n for (let i = 0; i < res.length; i++) {\n const fingers: Array<{ name: string, position: number }> = [];\n for (const [finger, pos] of Object.entries(res[i]['annotations'])) {\n // @ts-ignore\n if (finger !== 'palmBase') fingers.push({ name: finger.toLowerCase(), position: pos[0] }); // get tip of each finger\n }\n if (fingers && fingers.length > 0) {\n const closest = fingers.reduce((best, a) => (best.position[2] < a.position[2] ? best : a));\n const highest = fingers.reduce((best, a) => (best.position[1] < a.position[1] ? best : a));\n gestures.push({ hand: i, gesture: `${closest.name} forward ${highest.name} up` });\n }\n }\n return gestures;\n};\n", "/*\nWebGLImageFilter - MIT Licensed\n2013, Dominic Szablewski - phoboslab.org\n\n*/\n\nfunction GLProgram(gl, vertexSource, fragmentSource) {\n const _collect = function (source, prefix, collection) {\n const r = new RegExp('\\\\b' + prefix + ' \\\\w+ (\\\\w+)', 'ig');\n source.replace(r, (match, name) => {\n collection[name] = 0;\n return match;\n });\n };\n\n const _compile = function (source, type) {\n const shader = gl.createShader(type);\n gl.shaderSource(shader, source);\n gl.compileShader(shader);\n if (!gl.getShaderParameter(shader, gl.COMPILE_STATUS)) {\n // @ts-ignore\n throw new Error('Filter: GL compile failed', gl.getShaderInfoLog(shader));\n }\n return shader;\n };\n\n this.uniform = {};\n this.attribute = {};\n const _vsh = _compile(vertexSource, gl.VERTEX_SHADER);\n const _fsh = _compile(fragmentSource, gl.FRAGMENT_SHADER);\n this.id = gl.createProgram();\n gl.attachShader(this.id, _vsh);\n gl.attachShader(this.id, _fsh);\n gl.linkProgram(this.id);\n\n if (!gl.getProgramParameter(this.id, gl.LINK_STATUS)) {\n // @ts-ignore\n throw new Error('Filter: GL link failed', gl.getProgramInfoLog(this.id));\n }\n\n gl.useProgram(this.id);\n // Collect attributes\n _collect(vertexSource, 'attribute', this.attribute);\n for (const a in this.attribute) this.attribute[a] = gl.getAttribLocation(this.id, a);\n // Collect uniforms\n _collect(vertexSource, 'uniform', this.uniform);\n _collect(fragmentSource, 'uniform', this.uniform);\n for (const u in this.uniform) this.uniform[u] = gl.getUniformLocation(this.id, u);\n}\n\n// export const GLImageFilter = function (params) {\nexport function GLImageFilter(params) {\n if (!params) params = { };\n let _drawCount = 0;\n let _sourceTexture = null;\n let _lastInChain = false;\n let _currentFramebufferIndex = -1;\n let _tempFramebuffers = [null, null];\n let _filterChain = [];\n let _width = -1;\n let _height = -1;\n let _vertexBuffer = null;\n let _currentProgram = null;\n const _filter = {};\n const _canvas = params.canvas || document.createElement('canvas');\n // key is the shader program source, value is the compiled program\n const _shaderProgramCache = { };\n const DRAW = { INTERMEDIATE: 1 };\n const gl = _canvas.getContext('webgl');\n if (!gl) throw new Error('Filter: getContext() failed');\n\n this.addFilter = function (name) {\n // eslint-disable-next-line prefer-rest-params\n const args = Array.prototype.slice.call(arguments, 1);\n const filter = _filter[name];\n _filterChain.push({ func: filter, args });\n };\n\n this.reset = function () {\n _filterChain = [];\n };\n\n const _resize = function (width, height) {\n // Same width/height? Nothing to do here\n if (width === _width && height === _height) { return; }\n _canvas.width = width;\n _width = width;\n _canvas.height = height;\n _height = height;\n // Create the context if we don't have it yet\n if (!_vertexBuffer) {\n // Create the vertex buffer for the two triangles [x, y, u, v] * 6\n const vertices = new Float32Array([\n -1, -1, 0, 1, 1, -1, 1, 1, -1, 1, 0, 0,\n -1, 1, 0, 0, 1, -1, 1, 1, 1, 1, 1, 0,\n ]);\n // eslint-disable-next-line no-unused-expressions\n (_vertexBuffer = gl.createBuffer(), gl.bindBuffer(gl.ARRAY_BUFFER, _vertexBuffer));\n gl.bufferData(gl.ARRAY_BUFFER, vertices, gl.STATIC_DRAW);\n gl.pixelStorei(gl.UNPACK_PREMULTIPLY_ALPHA_WEBGL, true);\n }\n gl.viewport(0, 0, _width, _height);\n // Delete old temp framebuffers\n _tempFramebuffers = [null, null];\n };\n\n const _createFramebufferTexture = function (width, height) {\n const fbo = gl.createFramebuffer();\n gl.bindFramebuffer(gl.FRAMEBUFFER, fbo);\n const renderbuffer = gl.createRenderbuffer();\n gl.bindRenderbuffer(gl.RENDERBUFFER, renderbuffer);\n const texture = gl.createTexture();\n gl.bindTexture(gl.TEXTURE_2D, texture);\n gl.texImage2D(gl.TEXTURE_2D, 0, gl.RGBA, width, height, 0, gl.RGBA, gl.UNSIGNED_BYTE, null);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MAG_FILTER, gl.LINEAR);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MIN_FILTER, gl.LINEAR);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_S, gl.CLAMP_TO_EDGE);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_T, gl.CLAMP_TO_EDGE);\n gl.framebufferTexture2D(gl.FRAMEBUFFER, gl.COLOR_ATTACHMENT0, gl.TEXTURE_2D, texture, 0);\n gl.bindTexture(gl.TEXTURE_2D, null);\n gl.bindFramebuffer(gl.FRAMEBUFFER, null);\n return { fbo, texture };\n };\n\n const _getTempFramebuffer = function (index) {\n // @ts-ignore\n _tempFramebuffers[index] = _tempFramebuffers[index] || _createFramebufferTexture(_width, _height);\n return _tempFramebuffers[index];\n };\n\n const _draw = function (flags = null) {\n let source = null;\n let target = null;\n let flipY = false;\n // Set up the source\n if (_drawCount === 0) {\n // First draw call - use the source texture\n source = _sourceTexture;\n } else {\n // All following draw calls use the temp buffer last drawn to\n // @ts-ignore\n source = _getTempFramebuffer(_currentFramebufferIndex)?.texture;\n }\n _drawCount++;\n // Set up the target\n if (_lastInChain && !(flags & DRAW.INTERMEDIATE)) {\n // Last filter in our chain - draw directly to the WebGL Canvas. We may\n // also have to flip the image vertically now\n target = null;\n flipY = _drawCount % 2 === 0;\n } else {\n // Intermediate draw call - get a temp buffer to draw to\n _currentFramebufferIndex = (_currentFramebufferIndex + 1) % 2;\n // @ts-ignore\n target = _getTempFramebuffer(_currentFramebufferIndex)?.fbo;\n }\n // Bind the source and target and draw the two triangles\n gl.bindTexture(gl.TEXTURE_2D, source);\n gl.bindFramebuffer(gl.FRAMEBUFFER, target);\n gl.uniform1f(_currentProgram.uniform.flipY, (flipY ? -1 : 1));\n gl.drawArrays(gl.TRIANGLES, 0, 6);\n };\n\n this.apply = function (image) {\n _resize(image.width, image.height);\n _drawCount = 0;\n // Create the texture for the input image if we haven't yet\n if (!_sourceTexture) _sourceTexture = gl.createTexture();\n gl.bindTexture(gl.TEXTURE_2D, _sourceTexture);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_S, gl.CLAMP_TO_EDGE);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_T, gl.CLAMP_TO_EDGE);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MIN_FILTER, gl.NEAREST);\n gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MAG_FILTER, gl.NEAREST);\n gl.texImage2D(gl.TEXTURE_2D, 0, gl.RGBA, gl.RGBA, gl.UNSIGNED_BYTE, image);\n // No filters? Just draw\n if (_filterChain.length === 0) {\n // const program = _compileShader(SHADER.FRAGMENT_IDENTITY);\n _draw();\n return _canvas;\n }\n for (let i = 0; i < _filterChain.length; i++) {\n _lastInChain = (i === _filterChain.length - 1);\n const f = _filterChain[i];\n f.func.apply(this, f.args || []);\n }\n return _canvas;\n };\n\n const _compileShader = function (fragmentSource) {\n if (_shaderProgramCache[fragmentSource]) {\n _currentProgram = _shaderProgramCache[fragmentSource];\n gl.useProgram(_currentProgram.id);\n return _currentProgram;\n }\n // Compile shaders\n const SHADER = {};\n SHADER.VERTEX_IDENTITY = [\n 'precision highp float;',\n 'attribute vec2 pos;',\n 'attribute vec2 uv;',\n 'varying vec2 vUv;',\n 'uniform float flipY;',\n 'void main(void) {',\n 'vUv = uv;',\n 'gl_Position = vec4(pos.x, pos.y*flipY, 0.0, 1.);',\n '}',\n ].join('\\n');\n SHADER.FRAGMENT_IDENTITY = [\n 'precision highp float;',\n 'varying vec2 vUv;',\n 'uniform sampler2D texture;',\n 'void main(void) {',\n 'gl_FragColor = texture2D(texture, vUv);',\n '}',\n ].join('\\n');\n _currentProgram = new GLProgram(gl, SHADER.VERTEX_IDENTITY, fragmentSource);\n const floatSize = Float32Array.BYTES_PER_ELEMENT;\n const vertSize = 4 * floatSize;\n gl.enableVertexAttribArray(_currentProgram.attribute.pos);\n gl.vertexAttribPointer(_currentProgram.attribute.pos, 2, gl.FLOAT, false, vertSize, 0 * floatSize);\n gl.enableVertexAttribArray(_currentProgram.attribute.uv);\n gl.vertexAttribPointer(_currentProgram.attribute.uv, 2, gl.FLOAT, false, vertSize, 2 * floatSize);\n _shaderProgramCache[fragmentSource] = _currentProgram;\n return _currentProgram;\n };\n\n // -------------------------------------------------------------------------\n // Color Matrix Filter\n _filter.colorMatrix = function (matrix) {\n // Create a Float32 Array and normalize the offset component to 0-1\n const m = new Float32Array(matrix);\n m[4] /= 255;\n m[9] /= 255;\n m[14] /= 255;\n m[19] /= 255;\n // Can we ignore the alpha value? Makes things a bit faster.\n const shader = (m[18] === 1 && m[3] === 0 && m[8] === 0 && m[13] === 0 && m[15] === 0 && m[16] === 0 && m[17] === 0 && m[19] === 0)\n ? _filter.colorMatrix.SHADER.WITHOUT_ALPHA\n : _filter.colorMatrix.SHADER.WITH_ALPHA;\n const program = _compileShader(shader);\n gl.uniform1fv(program.uniform.m, m);\n _draw();\n };\n _filter.colorMatrix.SHADER = {};\n _filter.colorMatrix.SHADER.WITH_ALPHA = [\n 'precision highp float;',\n 'varying vec2 vUv;',\n 'uniform sampler2D texture;',\n 'uniform float m[20];',\n 'void main(void) {',\n 'vec4 c = texture2D(texture, vUv);',\n 'gl_FragColor.r = m[0] * c.r + m[1] * c.g + m[2] * c.b + m[3] * c.a + m[4];',\n 'gl_FragColor.g = m[5] * c.r + m[6] * c.g + m[7] * c.b + m[8] * c.a + m[9];',\n 'gl_FragColor.b = m[10] * c.r + m[11] * c.g + m[12] * c.b + m[13] * c.a + m[14];',\n 'gl_FragColor.a = m[15] * c.r + m[16] * c.g + m[17] * c.b + m[18] * c.a + m[19];',\n '}',\n ].join('\\n');\n _filter.colorMatrix.SHADER.WITHOUT_ALPHA = [\n 'precision highp float;',\n 'varying vec2 vUv;',\n 'uniform sampler2D texture;',\n 'uniform float m[20];',\n 'void main(void) {',\n 'vec4 c = texture2D(texture, vUv);',\n 'gl_FragColor.r = m[0] * c.r + m[1] * c.g + m[2] * c.b + m[4];',\n 'gl_FragColor.g = m[5] * c.r + m[6] * c.g + m[7] * c.b + m[9];',\n 'gl_FragColor.b = m[10] * c.r + m[11] * c.g + m[12] * c.b + m[14];',\n 'gl_FragColor.a = c.a;',\n '}',\n ].join('\\n');\n\n _filter.brightness = function (brightness) {\n const b = (brightness || 0) + 1;\n _filter.colorMatrix([\n b, 0, 0, 0, 0,\n 0, b, 0, 0, 0,\n 0, 0, b, 0, 0,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.saturation = function (amount) {\n const x = (amount || 0) * 2 / 3 + 1;\n const y = ((x - 1) * -0.5);\n _filter.colorMatrix([\n x, y, y, 0, 0,\n y, x, y, 0, 0,\n y, y, x, 0, 0,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.desaturate = function () {\n _filter.saturation(-1);\n };\n\n _filter.contrast = function (amount) {\n const v = (amount || 0) + 1;\n const o = -128 * (v - 1);\n\n _filter.colorMatrix([\n v, 0, 0, 0, o,\n 0, v, 0, 0, o,\n 0, 0, v, 0, o,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.negative = function () {\n _filter.contrast(-2);\n };\n\n _filter.hue = function (rotation) {\n rotation = (rotation || 0) / 180 * Math.PI;\n const cos = Math.cos(rotation);\n const sin = Math.sin(rotation);\n const lumR = 0.213;\n const lumG = 0.715;\n const lumB = 0.072;\n\n _filter.colorMatrix([\n lumR + cos * (1 - lumR) + sin * (-lumR), lumG + cos * (-lumG) + sin * (-lumG), lumB + cos * (-lumB) + sin * (1 - lumB), 0, 0,\n lumR + cos * (-lumR) + sin * (0.143), lumG + cos * (1 - lumG) + sin * (0.140), lumB + cos * (-lumB) + sin * (-0.283), 0, 0,\n lumR + cos * (-lumR) + sin * (-(1 - lumR)), lumG + cos * (-lumG) + sin * (lumG), lumB + cos * (1 - lumB) + sin * (lumB), 0, 0,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.desaturateLuminance = function () {\n _filter.colorMatrix([\n 0.2764723, 0.9297080, 0.0938197, 0, -37.1,\n 0.2764723, 0.9297080, 0.0938197, 0, -37.1,\n 0.2764723, 0.9297080, 0.0938197, 0, -37.1,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.sepia = function () {\n _filter.colorMatrix([\n 0.393, 0.7689999, 0.18899999, 0, 0,\n 0.349, 0.6859999, 0.16799999, 0, 0,\n 0.272, 0.5339999, 0.13099999, 0, 0,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.brownie = function () {\n _filter.colorMatrix([\n 0.5997023498159715, 0.34553243048391263, -0.2708298674538042, 0, 47.43192855600873,\n -0.037703249837783157, 0.8609577587992641, 0.15059552388459913, 0, -36.96841498319127,\n 0.24113635128153335, -0.07441037908422492, 0.44972182064877153, 0, -7.562075277591283,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.vintagePinhole = function () {\n _filter.colorMatrix([\n 0.6279345635605994, 0.3202183420819367, -0.03965408211312453, 0, 9.651285835294123,\n 0.02578397704808868, 0.6441188644374771, 0.03259127616149294, 0, 7.462829176470591,\n 0.0466055556782719, -0.0851232987247891, 0.5241648018700465, 0, 5.159190588235296,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.kodachrome = function () {\n _filter.colorMatrix([\n 1.1285582396593525, -0.3967382283601348, -0.03992559172921793, 0, 63.72958762196502,\n -0.16404339962244616, 1.0835251566291304, -0.05498805115633132, 0, 24.732407896706203,\n -0.16786010706155763, -0.5603416277695248, 1.6014850761964943, 0, 35.62982807460946,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.technicolor = function () {\n _filter.colorMatrix([\n 1.9125277891456083, -0.8545344976951645, -0.09155508482755585, 0, 11.793603434377337,\n -0.3087833385928097, 1.7658908555458428, -0.10601743074722245, 0, -70.35205161461398,\n -0.231103377548616, -0.7501899197440212, 1.847597816108189, 0, 30.950940869491138,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.polaroid = function () {\n _filter.colorMatrix([\n 1.438, -0.062, -0.062, 0, 0,\n -0.122, 1.378, -0.122, 0, 0,\n -0.016, -0.016, 1.483, 0, 0,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n _filter.shiftToBGR = function () {\n _filter.colorMatrix([\n 0, 0, 1, 0, 0,\n 0, 1, 0, 0, 0,\n 1, 0, 0, 0, 0,\n 0, 0, 0, 1, 0,\n ]);\n };\n\n // -------------------------------------------------------------------------\n // Convolution Filter\n _filter.convolution = function (matrix) {\n const m = new Float32Array(matrix);\n const pixelSizeX = 1 / _width;\n const pixelSizeY = 1 / _height;\n const program = _compileShader(_filter.convolution.SHADER);\n gl.uniform1fv(program.uniform.m, m);\n gl.uniform2f(program.uniform.px, pixelSizeX, pixelSizeY);\n _draw();\n };\n\n _filter.convolution.SHADER = [\n 'precision highp float;',\n 'varying vec2 vUv;',\n 'uniform sampler2D texture;',\n 'uniform vec2 px;',\n 'uniform float m[9];',\n 'void main(void) {',\n 'vec4 c11 = texture2D(texture, vUv - px);', // top left\n 'vec4 c12 = texture2D(texture, vec2(vUv.x, vUv.y - px.y));', // top center\n 'vec4 c13 = texture2D(texture, vec2(vUv.x + px.x, vUv.y - px.y));', // top right\n 'vec4 c21 = texture2D(texture, vec2(vUv.x - px.x, vUv.y) );', // mid left\n 'vec4 c22 = texture2D(texture, vUv);', // mid center\n 'vec4 c23 = texture2D(texture, vec2(vUv.x + px.x, vUv.y) );', // mid right\n 'vec4 c31 = texture2D(texture, vec2(vUv.x - px.x, vUv.y + px.y) );', // bottom left\n 'vec4 c32 = texture2D(texture, vec2(vUv.x, vUv.y + px.y) );', // bottom center\n 'vec4 c33 = texture2D(texture, vUv + px );', // bottom right\n 'gl_FragColor = ',\n 'c11 * m[0] + c12 * m[1] + c22 * m[2] +',\n 'c21 * m[3] + c22 * m[4] + c23 * m[5] +',\n 'c31 * m[6] + c32 * m[7] + c33 * m[8];',\n 'gl_FragColor.a = c22.a;',\n '}',\n ].join('\\n');\n\n _filter.detectEdges = function () {\n _filter.convolution.call(this, [\n 0, 1, 0,\n 1, -4, 1,\n 0, 1, 0,\n ]);\n };\n\n _filter.sobelX = function () {\n _filter.convolution.call(this, [\n -1, 0, 1,\n -2, 0, 2,\n -1, 0, 1,\n ]);\n };\n\n _filter.sobelY = function () {\n _filter.convolution.call(this, [\n -1, -2, -1,\n 0, 0, 0,\n 1, 2, 1,\n ]);\n };\n\n _filter.sharpen = function (amount) {\n const a = amount || 1;\n _filter.convolution.call(this, [\n 0, -1 * a, 0,\n -1 * a, 1 + 4 * a, -1 * a,\n 0, -1 * a, 0,\n ]);\n };\n\n _filter.emboss = function (size) {\n const s = size || 1;\n _filter.convolution.call(this, [\n -2 * s, -1 * s, 0,\n -1 * s, 1, 1 * s,\n 0, 1 * s, 2 * s,\n ]);\n };\n\n // -------------------------------------------------------------------------\n // Blur Filter\n _filter.blur = function (size) {\n const blurSizeX = (size / 7) / _width;\n const blurSizeY = (size / 7) / _height;\n const program = _compileShader(_filter.blur.SHADER);\n // Vertical\n gl.uniform2f(program.uniform.px, 0, blurSizeY);\n _draw(DRAW.INTERMEDIATE);\n // Horizontal\n gl.uniform2f(program.uniform.px, blurSizeX, 0);\n _draw();\n };\n\n _filter.blur.SHADER = [\n 'precision highp float;',\n 'varying vec2 vUv;',\n 'uniform sampler2D texture;',\n 'uniform vec2 px;',\n 'void main(void) {',\n 'gl_FragColor = vec4(0.0);',\n 'gl_FragColor += texture2D(texture, vUv + vec2(-7.0*px.x, -7.0*px.y))*0.0044299121055113265;',\n 'gl_FragColor += texture2D(texture, vUv + vec2(-6.0*px.x, -6.0*px.y))*0.00895781211794;',\n 'gl_FragColor += texture2D(texture, vUv + vec2(-5.0*px.x, -5.0*px.y))*0.0215963866053;',\n 'gl_FragColor += texture2D(texture, vUv + vec2(-4.0*px.x, -4.0*px.y))*0.0443683338718;',\n 'gl_FragColor += texture2D(texture, vUv + vec2(-3.0*px.x, -3.0*px.y))*0.0776744219933;',\n 'gl_FragColor += texture2D(texture, vUv + vec2(-2.0*px.x, -2.0*px.y))*0.115876621105;',\n 'gl_FragColor += texture2D(texture, vUv + vec2(-1.0*px.x, -1.0*px.y))*0.147308056121;',\n 'gl_FragColor += texture2D(texture, vUv )*0.159576912161;',\n 'gl_FragColor += texture2D(texture, vUv + vec2( 1.0*px.x, 1.0*px.y))*0.147308056121;',\n 'gl_FragColor += texture2D(texture, vUv + vec2( 2.0*px.x, 2.0*px.y))*0.115876621105;',\n 'gl_FragColor += texture2D(texture, vUv + vec2( 3.0*px.x, 3.0*px.y))*0.0776744219933;',\n 'gl_FragColor += texture2D(texture, vUv + vec2( 4.0*px.x, 4.0*px.y))*0.0443683338718;',\n 'gl_FragColor += texture2D(texture, vUv + vec2( 5.0*px.x, 5.0*px.y))*0.0215963866053;',\n 'gl_FragColor += texture2D(texture, vUv + vec2( 6.0*px.x, 6.0*px.y))*0.00895781211794;',\n 'gl_FragColor += texture2D(texture, vUv + vec2( 7.0*px.x, 7.0*px.y))*0.0044299121055113265;',\n '}',\n ].join('\\n');\n\n // -------------------------------------------------------------------------\n // Pixelate Filter\n _filter.pixelate = function (size) {\n const blurSizeX = (size) / _width;\n const blurSizeY = (size) / _height;\n const program = _compileShader(_filter.pixelate.SHADER);\n // Horizontal\n gl.uniform2f(program.uniform.size, blurSizeX, blurSizeY);\n _draw();\n };\n\n _filter.pixelate.SHADER = [\n 'precision highp float;',\n 'varying vec2 vUv;',\n 'uniform vec2 size;',\n 'uniform sampler2D texture;',\n 'vec2 pixelate(vec2 coord, vec2 size) {',\n 'return floor( coord / size ) * size;',\n '}',\n 'void main(void) {',\n 'gl_FragColor = vec4(0.0);',\n 'vec2 coord = pixelate(vUv, size);',\n 'gl_FragColor += texture2D(texture, coord);',\n '}',\n ].join('\\n');\n}\n", "// @ts-nocheck\n\nimport { log } from './log';\nimport * as tf from '../dist/tfjs.esm.js';\nimport * as fxImage from './imagefx';\n\n// internal temp canvases\nlet inCanvas = null;\nlet outCanvas = null;\n// instance of fximage\nlet fx = null;\n\n// process input image and return tensor\n// input can be tensor, imagedata, htmlimageelement, htmlvideoelement\n// input is resized and run through imagefx filter\nexport function process(input, config) {\n let tensor;\n if (input instanceof tf.Tensor) {\n tensor = tf.clone(input);\n } else {\n const originalWidth = input.naturalWidth || input.videoWidth || input.width || (input.shape && (input.shape[1] > 0));\n const originalHeight = input.naturalHeight || input.videoHeight || input.height || (input.shape && (input.shape[2] > 0));\n let targetWidth = originalWidth;\n let targetHeight = originalHeight;\n if (config.filter.width > 0) targetWidth = config.filter.width;\n else if (config.filter.height > 0) targetWidth = originalWidth * (config.filter.height / originalHeight);\n if (config.filter.height > 0) targetHeight = config.filter.height;\n else if (config.filter.width > 0) targetHeight = originalHeight * (config.filter.width / originalWidth);\n if (!targetWidth || !targetHeight) {\n log('Human: invalid input', input);\n return null;\n }\n if (!inCanvas || (inCanvas.width !== targetWidth) || (inCanvas.height !== targetHeight)) {\n inCanvas = (typeof OffscreenCanvas !== 'undefined') ? new OffscreenCanvas(targetWidth, targetHeight) : document.createElement('canvas');\n if (inCanvas.width !== targetWidth) inCanvas.width = targetWidth;\n if (inCanvas.height !== targetHeight) inCanvas.height = targetHeight;\n }\n const ctx = inCanvas.getContext('2d');\n if (input instanceof ImageData) ctx.putImageData(input, 0, 0);\n else ctx.drawImage(input, 0, 0, originalWidth, originalHeight, 0, 0, inCanvas.width, inCanvas.height);\n if (config.filter.enabled) {\n if (!fx || !outCanvas || (inCanvas.width !== outCanvas.width) || (inCanvas.height !== outCanvas.height)) {\n outCanvas = (typeof OffscreenCanvas !== 'undefined') ? new OffscreenCanvas(inCanvas.width, inCanvas.height) : document.createElement('canvas');\n if (outCanvas.width !== inCanvas.width) outCanvas.width = inCanvas.width;\n if (outCanvas.height !== inCanvas.height) outCanvas.height = inCanvas.height;\n log('created FX filter');\n fx = tf.ENV.flags.IS_BROWSER ? new fxImage.GLImageFilter({ canvas: outCanvas }) : null; // && (typeof document !== 'undefined')\n }\n if (!fx) return inCanvas;\n fx.reset();\n fx.addFilter('brightness', config.filter.brightness); // must have at least one filter enabled\n if (config.filter.contrast !== 0) fx.addFilter('contrast', config.filter.contrast);\n if (config.filter.sharpness !== 0) fx.addFilter('sharpen', config.filter.sharpness);\n if (config.filter.blur !== 0) fx.addFilter('blur', config.filter.blur);\n if (config.filter.saturation !== 0) fx.addFilter('saturation', config.filter.saturation);\n if (config.filter.hue !== 0) fx.addFilter('hue', config.filter.hue);\n if (config.filter.negative) fx.addFilter('negative');\n if (config.filter.sepia) fx.addFilter('sepia');\n if (config.filter.vintage) fx.addFilter('brownie');\n if (config.filter.sepia) fx.addFilter('sepia');\n if (config.filter.kodachrome) fx.addFilter('kodachrome');\n if (config.filter.technicolor) fx.addFilter('technicolor');\n if (config.filter.polaroid) fx.addFilter('polaroid');\n if (config.filter.pixelate !== 0) fx.addFilter('pixelate', config.filter.pixelate);\n fx.apply(inCanvas);\n // read pixel data\n /*\n const gl = outCanvas.getContext('webgl');\n if (gl) {\n const glBuffer = new Uint8Array(outCanvas.width * outCanvas.height * 4);\n const pixBuffer = new Uint8Array(outCanvas.width * outCanvas.height * 3);\n gl.readPixels(0, 0, outCanvas.width, outCanvas.height, gl.RGBA, gl.UNSIGNED_BYTE, glBuffer);\n // gl returns rbga while we only need rgb, so discarding alpha channel\n // gl returns starting point as lower left, so need to invert vertical\n let i = 0;\n for (let y = outCanvas.height - 1; y >= 0; y--) {\n for (let x = 0; x < outCanvas.width; x++) {\n const index = (x + y * outCanvas.width) * 4;\n pixBuffer[i++] = glBuffer[index + 0];\n pixBuffer[i++] = glBuffer[index + 1];\n pixBuffer[i++] = glBuffer[index + 2];\n }\n }\n outCanvas.data = pixBuffer;\n }\n */\n } else {\n outCanvas = inCanvas;\n if (fx) fx = null;\n }\n let pixels;\n if (outCanvas.data) {\n const shape = [outCanvas.height, outCanvas.width, 3];\n pixels = tf.tensor3d(outCanvas.data, shape, 'int32');\n } else if ((config.backend === 'webgl') || (outCanvas instanceof ImageData)) {\n // tf kernel-optimized method to get imagedata, also if input is imagedata, just use it\n pixels = tf.browser.fromPixels(outCanvas);\n } else {\n // cpu and wasm kernel does not implement efficient fromPixels method nor we can use canvas as-is, so we do a silly one more canvas\n const tempCanvas = (typeof OffscreenCanvas !== 'undefined') ? new OffscreenCanvas(targetWidth, targetHeight) : document.createElement('canvas');\n tempCanvas.width = targetWidth;\n tempCanvas.height = targetHeight;\n const tempCtx = tempCanvas.getContext('2d');\n tempCtx?.drawImage(outCanvas, 0, 0);\n const data = tempCtx?.getImageData(0, 0, targetWidth, targetHeight);\n pixels = tf.browser.fromPixels(data);\n }\n const casted = pixels.toFloat();\n tensor = casted.expandDims(0);\n pixels.dispose();\n casted.dispose();\n }\n return { tensor, canvas: config.filter.return ? outCanvas : null };\n}\n", "/* eslint-disable indent */\n/* eslint-disable no-multi-spaces */\n\nexport default {\n backend: 'webgl', // select tfjs backend to use\n wasmPath: '../assets/', // path for wasm binaries\n // only used for backend: wasm\n async: true, // execute enabled models in parallel\n // this disables per-model performance data but\n // slightly increases performance\n // cannot be used if profiling is enabled\n profile: false, // enable tfjs profiling\n // this has significant performance impact\n // only enable for debugging purposes\n // currently only implemented for age,gender,emotion models\n deallocate: false, // aggresively deallocate gpu memory after each usage\n // only valid for webgl backend and only during first call\n // cannot be changed unless library is reloaded\n // this has significant performance impact\n // only enable on low-memory devices\n scoped: false, // enable scoped runs\n // some models *may* have memory leaks,\n // this wrapps everything in a local scope at a cost of performance\n // typically not needed\n videoOptimized: true, // perform additional optimizations when input is video,\n // must be disabled for images\n // basically this skips object box boundary detection for every n frames\n // while maintaining in-box detection since objects cannot move that fast\n warmup: 'face', // what to use for human.warmup(), can be 'none', 'face', 'full'\n // warmup pre-initializes all models for faster inference but can take\n // significant time on startup\n filter: {\n enabled: true, // enable image pre-processing filters\n width: 0, // resize input width\n height: 0, // resize input height\n // if both width and height are set to 0, there is no resizing\n // if just one is set, second one is scaled automatically\n // if both are set, values are used as-is\n return: true, // return processed canvas imagedata in result\n brightness: 0, // range: -1 (darken) to 1 (lighten)\n contrast: 0, // range: -1 (reduce contrast) to 1 (increase contrast)\n sharpness: 0, // range: 0 (no sharpening) to 1 (maximum sharpening)\n blur: 0, // range: 0 (no blur) to N (blur radius in pixels)\n saturation: 0, // range: -1 (reduce saturation) to 1 (increase saturation)\n hue: 0, // range: 0 (no change) to 360 (hue rotation in degrees)\n negative: false, // image negative\n sepia: false, // image sepia colors\n vintage: false, // image vintage colors\n kodachrome: false, // image kodachrome colors\n technicolor: false, // image technicolor colors\n polaroid: false, // image polaroid camera effect\n pixelate: 0, // range: 0 (no pixelate) to N (number of pixels to pixelate)\n },\n\n gesture: {\n enabled: true, // enable simple gesture recognition\n },\n\n face: {\n enabled: true, // controls if specified modul is enabled\n // face.enabled is required for all face models:\n // detector, mesh, iris, age, gender, emotion\n // (note: module is not loaded until it is required)\n detector: {\n modelPath: '../models/blazeface-back.json', // can be 'blazeface-front', 'blazeface-front' or 'faceboxes'\n // 'blazeface-front' is blazeface model optimized for large faces such as front-facing camera\n // 'blazeface-back' is blazeface model optimized for smaller and/or distanct faces\n // 'faceboxes' is alternative model to 'blazeface\n inputSize: 256, // fixed value: 128 for front and 256 for 'back'\n rotation: false, // use best-guess rotated face image or just box with rotation as-is\n // false means higher performance, but incorrect mesh mapping if face angle is above 20 degrees\n maxFaces: 10, // maximum number of faces detected in the input\n // should be set to the minimum number for performance\n skipFrames: 11, // how many frames to go without re-running the face bounding box detector\n // only used for video inputs\n // e.g., if model is running st 25 FPS, we can re-use existing bounding\n // box for updated face analysis as the head probably hasn't moved much\n // in short time (10 * 1/25 = 0.25 sec)\n minConfidence: 0.5, // threshold for discarding a prediction\n iouThreshold: 0.2, // threshold for deciding whether boxes overlap too much in\n // non-maximum suppression (0.1 means drop if overlap 10%)\n scoreThreshold: 0.5, // threshold for deciding when to remove boxes based on score\n // in non-maximum suppression,\n // this is applied on detection objects only and before minConfidence\n },\n\n mesh: {\n enabled: true,\n modelPath: '../models/facemesh.json',\n inputSize: 192, // fixed value\n returnRawData: false, // in addition to standard mesh and box values, return raw normalized values as well\n },\n\n iris: {\n enabled: true,\n modelPath: '../models/iris.json',\n inputSize: 64, // fixed value\n },\n\n age: {\n enabled: true,\n modelPath: '../models/age-ssrnet-imdb.json', // can be 'age-ssrnet-imdb' or 'age-ssrnet-wiki'\n // which determines training set for model\n inputSize: 64, // fixed value\n skipFrames: 31, // how many frames to go without re-running the detector\n // only used for video inputs\n },\n\n gender: {\n enabled: true,\n minConfidence: 0.1, // threshold for discarding a prediction\n modelPath: '../models/gender-ssrnet-imdb.json', // can be 'gender', 'gender-ssrnet-imdb' or 'gender-ssrnet-wiki'\n inputSize: 64, // fixed value\n skipFrames: 41, // how many frames to go without re-running the detector\n // only used for video inputs\n },\n\n emotion: {\n enabled: true,\n inputSize: 64, // fixed value\n minConfidence: 0.2, // threshold for discarding a prediction\n skipFrames: 21, // how many frames to go without re-running the detector\n modelPath: '../models/emotion-large.json', // can be 'mini', 'large'\n },\n\n embedding: {\n enabled: false,\n inputSize: 112, // fixed value\n modelPath: '../models/mobilefacenet.json',\n },\n },\n\n body: {\n enabled: true,\n modelPath: '../models/posenet.json',\n inputSize: 257, // fixed value\n maxDetections: 10, // maximum number of people detected in the input\n // should be set to the minimum number for performance\n scoreThreshold: 0.5, // threshold for deciding when to remove boxes based on score\n // in non-maximum suppression\n nmsRadius: 20, // radius for deciding points are too close in non-maximum suppression\n outputStride: 16, // size of block in which to run point detectopn, smaller value means higher resolution\n // defined by model itself, can be 8, 16, or 32\n modelType: 'MobileNet', // Human includes MobileNet version, but you can switch to ResNet\n },\n\n hand: {\n enabled: true,\n rotation: false, // use best-guess rotated hand image or just box with rotation as-is\n // false means higher performance, but incorrect finger mapping if hand is inverted\n inputSize: 256, // fixed value\n skipFrames: 12, // how many frames to go without re-running the hand bounding box detector\n // only used for video inputs\n // e.g., if model is running st 25 FPS, we can re-use existing bounding\n // box for updated hand skeleton analysis as the hand probably\n // hasn't moved much in short time (10 * 1/25 = 0.25 sec)\n minConfidence: 0.1, // threshold for discarding a prediction\n iouThreshold: 0.1, // threshold for deciding whether boxes overlap too much\n // in non-maximum suppression\n scoreThreshold: 0.5, // threshold for deciding when to remove boxes based on\n // score in non-maximum suppression\n maxHands: 1, // maximum number of hands detected in the input\n // should be set to the minimum number for performance\n landmarks: true, // detect hand landmarks or just hand boundary box\n detector: {\n modelPath: '../models/handdetect.json',\n },\n skeleton: {\n modelPath: '../models/handskeleton.json',\n },\n },\n};\n", "// data:image/jpeg;base64,\nexport const face = 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"names": [] } diff --git a/dist/human.tson b/dist/human.tson index f6bbd438..1ef951f0 100644 --- a/dist/human.tson +++ b/dist/human.tson @@ -175,7 +175,7 @@ ] }, "src/embedding/embedding.ts": { - "bytes": 1909, + "bytes": 2022, "imports": [ { "path": "src/log.ts", @@ -499,7 +499,7 @@ "imports": [], "exports": [], "inputs": {}, - "bytes": 1924696 + "bytes": 1924859 }, "dist/human.ts": { "imports": [], @@ -554,7 +554,7 @@ "bytesInOutput": 1180 }, "src/embedding/embedding.ts": { - "bytesInOutput": 725 + "bytesInOutput": 794 }, "src/posenet/posenet.ts": { "bytesInOutput": 1007 @@ -620,7 +620,7 @@ "bytesInOutput": 2572 } }, - "bytes": 1347264 + "bytes": 1347333 } } } diff --git a/dist/tfjs.esm.js b/dist/tfjs.esm.js index 4f578cbc..ab8b4247 100644 --- a/dist/tfjs.esm.js +++ b/dist/tfjs.esm.js @@ -5,5 +5,4219 @@ author: ' */ -var s=Object.create,r=Object.defineProperty,d=Object.getPrototypeOf,g=Object.prototype.hasOwnProperty,j=Object.getOwnPropertyNames,l=Object.getOwnPropertyDescriptor;var 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in conv3dDerInput: depth of output (${u}) must match output depth for filter ${t.shape[4]}.`);let c={dy:a,filter:t},p={pad:o,strides:n,inputShape:s},m=D.runKernel(Xl,c,p);return i?z(m,[m.shape[1],m.shape[2],m.shape[3],m.shape[4]]):m}var fg=T({conv3DBackpropInput_:Mj});function Lj(r,e,t,n,o){let s=v(r,"x","conv3dTranspose"),a=v(e,"filter","conv3dTranspose");return fg(t,s,a,n,o)}var zj=T({conv3dTranspose_:Lj});function Bj(r){let t={x:v(r,"x","cos")};return D.runKernel(eo,t)}var Ia=T({cos_:Bj});function Vj(r){let t={x:v(r,"x","cosh")};return D.runKernel(ri,t)}var Nu=T({cosh_:Vj});function Gj(r,e=0,t=!1,n=!1){let s={x:v(r,"x","cumsum")},a={axis:e,exclusive:t,reverse:n};return D.runKernel(to,s,a)}var Su=T({cumsum_:Gj});function jj(r,e,t,n=!1){let o=v(r,"x","denseBincount"),s=v(e,"weights","denseBincount");A(o.dtype==="int32",()=>`Error in denseBincount: input dtype must be int32, but got ${o.dtype}`),A(o.rank<=2,()=>`Error in denseBincount: input must be at most rank 2, but got rank 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Jj(r){let t={x:v(r,"x","zerosLike")};return D.runKernel(_s,t)}var Ie=T({zerosLike_:Jj});function Qj(r,e){let t=v(r,"a","div"),n=v(e,"b","div");[t,n]=Ge(t,n);let o=de(t,n),s=Ie(o),a=wn(n,s);return Rt(a,s,o)}var jm=T({divNoNan_:Qj});function eW(r,e){let t=v(r,"t1","dot"),n=v(e,"t2","dot");A((t.rank===1||t.rank===2)&&(n.rank===1||n.rank===2),()=>`Error in dot: inputs must all be rank 1 or 2, but got ranks ${t.rank} and ${n.rank}.`);let o=t.rank===1?t.size:t.shape[1],s=n.rank===1?n.size:n.shape[0];if(A(o===s,()=>`Error in dot: inner dimensions of inputs must match, but got ${o} and ${s}.`),t.rank===1&&n.rank===1){let a=z(t,[1,-1]),i=z(n,[-1,1]),l=je(a,i);return z(l,[])}else if(t.rank===1&&n.rank===2){let a=z(t,[1,-1]),i=z(n,[n.shape[0],n.shape[1]]),l=je(a,i);return z(l,[l.size])}else if(t.rank===2&&n.rank===1){let a=z(n,[-1,1]),i=je(t,a);return z(i,[i.size])}else{let a=z(n,[n.shape[0],n.shape[1]]);return je(t,a)}}var Rw=T({dot_:eW});function tW(r){let t={x:v(r,"x","elu")};return D.runKernel(si,t)}var Ss=T({elu_:tW});function rW(r){let e=v(r,"x","erf");A(e.dtype==="int32"||e.dtype==="float32",()=>"Input dtype must be `int32` or `float32`."),e.dtype==="int32"&&(e=ne(e,"float32"));let t={x:e};return D.runKernel(ii,t)}var Wm=T({erf_:rW});function nW(r){let t={x:v(r,"x","exp")};return D.runKernel(oo,t)}var Yt=T({exp_:nW});function oW(r,e=0){let t=v(r,"x","expandDims","string_or_numeric");A(e<=t.rank,()=>"Axis must be <= rank of the tensor");let n={input:t},o={dim:e};return D.runKernel(ps,n,o)}var ir=T({expandDims_:oW});function sW(r){let t={x:v(r,"x","expm1")};return D.runKernel(li,t)}var Um=T({expm1_:sW});function iW(r,e){let t=v(r,"x","tile","string_or_numeric");A(t.rank===e.length,()=>`Error in transpose: rank of input ${t.rank} must match length of reps ${e}.`);let n={x:t},o={reps:e};return D.runKernel(yn,n,o)}var Mn=T({tile_:iW});function aW(r,e,t,n="float32"){e==null&&(e=r);let o=Ce([r,e],n),s=r<=e?r:e;for(let i=0;i`Error in localResponseNormalization: x must 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s=v(r,"labels","huberLoss"),a=v(e,"predictions","huberLoss"),i=null;t!=null&&(i=v(t,"weights","huberLoss")),St(s.shape,a.shape,"Error in huberLoss: ");let l=le(n),u=Et(ue(a,s)),c=As(u,l),p=ue(u,c),m=Q(P(le(.5),Pe(c)),P(l,p));return Sr(m,i,o)}var IS=T({huberLoss_:yq});function bq(r,e,t,n=1e-7,o=jt.SUM_BY_NONZERO_WEIGHTS){let s=v(r,"labels","logLoss"),a=v(e,"predictions","logLoss"),i=null;t!=null&&(i=v(t,"weights","logLoss")),St(s.shape,a.shape,"Error in logLoss: ");let l=le(1),u=le(n),c=Ue(P(s,ar(Q(a,u)))),p=P(ue(l,s),ar(Q(ue(l,a),u))),m=ue(c,p);return Sr(m,i,o)}var NS=T({logLoss_:bq});function wq(r,e,t,n=jt.SUM_BY_NONZERO_WEIGHTS){let o=v(r,"labels","meanSquaredError"),s=v(e,"predictions","meanSquaredError"),a=null;t!=null&&(a=v(t,"weights","meanSquaredError")),St(o.shape,s.shape,"Error in meanSquaredError: ");let i=Vu(o,s);return Sr(i,a,n)}var SS=T({meanSquaredError_:wq});function _q(r,e){let t=v(r,"labels","sigmoidCrossEntropyWithLogits"),n=v(e,"logits","sigmoidCrossEntropyWithLogits");St(t.shape,n.shape,"Error in sigmoidCrossEntropyWithLogits: ");let o=Nr(n),s=P(n,t),a=Au(Yt(Ue(Et(n))));return Q(ue(o,s),a)}function kq(r,e,t,n=0,o=jt.SUM_BY_NONZERO_WEIGHTS){let s=v(r,"multiClassLabels","sigmoidCrossEntropy"),a=v(e,"logits","sigmoidCrossEntropy"),i=null;if(t!=null&&(i=v(t,"weights","sigmoidCrossEntropy")),St(s.shape,a.shape,"Error in sigmoidCrossEntropy: "),n>0){let u=le(n),c=le(1),p=le(.5);s=Q(P(s,ue(c,u)),P(p,u))}let l=_q(s,a);return Sr(l,i,o)}var TS=T({sigmoidCrossEntropy_:kq});function vq(r,e,t=-1){if(t===-1&&(t=e.rank-1),t!==e.rank-1)throw Error(`Softmax cross entropy along a non-last dimension is not yet supported. Labels / logits was rank ${e.rank} and dim was ${t}`);return qr((o,s,a)=>{let l=Km(s,[t],!0),u=ue(ne(s,"float32"),l);a([o,u]);let c=Ue(P(u,o));return{value:ye(c,[t]),gradFunc:(f,d)=>{let[h,g]=d,x=Vo(f.shape,[t]);return[P(z(f,x),ue(ne(h,"float32"),Yt(g))),P(z(f,x),ue(Yt(g),ne(h,"float32")))]}}})(r,e)}function Cq(r,e,t,n=0,o=jt.SUM_BY_NONZERO_WEIGHTS){let s=v(r,"onehotLabels","softmaxCrossEntropy"),a=v(e,"logits","softmaxCrossEntropy"),i=null;if(t!=null&&(i=v(t,"weights","softmaxCrossEntropy")),St(s.shape,a.shape,"Error in softmaxCrossEntropy: "),n>0){let u=le(n),c=le(1),p=le(s.shape[1]);s=Q(P(s,ue(c,u)),de(u,p))}let l=vq(s,a);return Sr(l,i,o)}var ES=T({softmaxCrossEntropy_:Cq});var Iq={fft:Ra,ifft:Bi,rfft:Fa,irfft:Bu},Nq={hammingWindow:sS,hannWindow:vg,frame:Cg,stft:iS},Rs={flipLeftRight:lS,resizeNearestNeighbor:Ng,resizeBilinear:Ig,rotateWithOffset:uS,cropAndResize:aS,nonMaxSuppression:cS,nonMaxSuppressionAsync:fS,nonMaxSuppressionWithScore:dS,nonMaxSuppressionWithScoreAsync:hS,nonMaxSuppressionPadded:gS,nonMaxSuppressionPaddedAsync:xS},p_={bandPart:yS,gramSchmidt:bS,qr:_S},Sq={absoluteDifference:kS,computeWeightedLoss:Sr,cosineDistance:vS,hingeLoss:CS,huberLoss:IS,logLoss:NS,meanSquaredError:SS,sigmoidCrossEntropy:TS,softmaxCrossEntropy:ES};var Or=class extends cg{minimize(e,t=!1,n){let{value:o,grads:s}=this.computeGradients(e,n);if(n!=null){let a=n.map(i=>({name:i.name,tensor:s[i.name]}));this.applyGradients(a)}else this.applyGradients(s);return Ee(s),t?o:(o.dispose(),null)}get iterations(){return this.iterations_==null&&(this.iterations_=0),this.iterations_}incrementIterations(){this.iterations_=this.iterations+1}computeGradients(e,t){return hg(e,t)}dispose(){this.iterations_!=null&&Ee(this.iterations_)}async saveIterations(){return this.iterations_==null&&(this.iterations_=0),{name:"iter",tensor:le(this.iterations_,"int32")}}async getWeights(){throw new Error("getWeights() is not implemented for this optimizer yet.")}async setWeights(e){throw new Error(`setWeights() is not implemented for this optimizer class ${this.getClassName()}`)}async extractIterations(e){return this.iterations_=(await e[0].tensor.data())[0],e.slice(1)}};Object.defineProperty(Or,Symbol.hasInstance,{value:r=>r.minimize!=null&&r.computeGradients!=null&&r.applyGradients!=null});var sp=class extends Or{constructor(e,t,n=null){super();this.learningRate=e,this.rho=t,this.epsilon=n,this.accumulatedGrads=[],this.accumulatedUpdates=[],n==null&&(this.epsilon=D.backend.epsilon())}applyGradients(e){(Array.isArray(e)?e.map(n=>n.name):Object.keys(e)).forEach((n,o)=>{let s=D.registeredVariables[n],a=!1;this.accumulatedGrads[o]==null&&(this.accumulatedGrads[o]={originalName:`${n}/accum_grad`,variable:V(()=>Ie(s).variable(a))}),this.accumulatedUpdates[o]==null&&(this.accumulatedUpdates[o]={originalName:`${n}/accum_var`,variable:V(()=>Ie(s).variable(a))});let i=Array.isArray(e)?e[o].tensor:e[n];if(i==null)return;let l=this.accumulatedGrads[o].variable,u=this.accumulatedUpdates[o].variable;V(()=>{let c=Q(P(l,this.rho),P(Pe(i),1-this.rho)),p=P(de(yt(Q(u,this.epsilon)),yt(Q(l,this.epsilon))),i),m=Q(P(u,this.rho),P(Pe(p),1-this.rho));l.assign(c),u.assign(m);let f=Q(P(p,-this.learningRate),s);s.assign(f)})}),this.incrementIterations()}dispose(){this.accumulatedUpdates!=null&&(Ee(this.accumulatedGrads.map(e=>e.variable)),Ee(this.accumulatedUpdates.map(e=>e.variable)))}async getWeights(){let e=[...this.accumulatedGrads,...this.accumulatedUpdates];return[await this.saveIterations()].concat(e.map(t=>({name:t.originalName,tensor:t.variable})))}async setWeights(e){e=await this.extractIterations(e);let t=e.length/2,n=!1;this.accumulatedGrads=e.slice(0,t).map(o=>({originalName:o.name,variable:o.tensor.variable(n)})),this.accumulatedUpdates=e.slice(t,t*2).map(o=>({originalName:o.name,variable:o.tensor.variable(n)}))}getConfig(){return{learningRate:this.learningRate,rho:this.rho,epsilon:this.epsilon}}static fromConfig(e,t){return new e(t.learningRate,t.rho,t.epsilon)}};sp.className="Adadelta";en(sp);var ip=class extends Or{constructor(e,t=.1){super();this.learningRate=e,this.initialAccumulatorValue=t,this.accumulatedGrads=[]}applyGradients(e){(Array.isArray(e)?e.map(n=>n.name):Object.keys(e)).forEach((n,o)=>{let s=D.registeredVariables[n];if(this.accumulatedGrads[o]==null){let l=!1;this.accumulatedGrads[o]={originalName:`${n}/accumulator`,variable:V(()=>Na(s.shape,this.initialAccumulatorValue).variable(l))}}let a=Array.isArray(e)?e[o].tensor:e[n];if(a==null)return;let i=this.accumulatedGrads[o].variable;V(()=>{let l=Q(i,Pe(a));i.assign(l);let u=Q(P(de(a,yt(Q(l,D.backend.epsilon()))),-this.learningRate),s);s.assign(u)})}),this.incrementIterations()}dispose(){this.accumulatedGrads!=null&&Ee(this.accumulatedGrads.map(e=>e.variable))}async getWeights(){return[await this.saveIterations()].concat(this.accumulatedGrads.map(e=>({name:e.originalName,tensor:e.variable})))}async setWeights(e){e=await this.extractIterations(e);let t=!1;this.accumulatedGrads=e.map(n=>({originalName:n.name,variable:n.tensor.variable(t)}))}getConfig(){return{learningRate:this.learningRate,initialAccumulatorValue:this.initialAccumulatorValue}}static fromConfig(e,t){return new e(t.learningRate,t.initialAccumulatorValue)}};ip.className="Adagrad";en(ip);var ap=class extends Or{constructor(e,t,n,o=null){super();this.learningRate=e,this.beta1=t,this.beta2=n,this.epsilon=o,this.accumulatedFirstMoment=[],this.accumulatedSecondMoment=[],V(()=>{this.accBeta1=le(t).variable(),this.accBeta2=le(n).variable()}),o==null&&(this.epsilon=D.backend.epsilon())}applyGradients(e){let t=Array.isArray(e)?e.map(n=>n.name):Object.keys(e);V(()=>{let n=ue(1,this.accBeta1),o=ue(1,this.accBeta2);t.forEach((s,a)=>{let i=D.registeredVariables[s],l=!1;this.accumulatedFirstMoment[a]==null&&(this.accumulatedFirstMoment[a]={originalName:`${s}/m`,variable:V(()=>Ie(i).variable(l))}),this.accumulatedSecondMoment[a]==null&&(this.accumulatedSecondMoment[a]={originalName:`${s}/v`,variable:V(()=>Ie(i).variable(l))});let u=Array.isArray(e)?e[a].tensor:e[s];if(u==null)return;let c=this.accumulatedFirstMoment[a].variable,p=this.accumulatedSecondMoment[a].variable,m=Q(P(c,this.beta1),P(u,1-this.beta1)),f=Q(P(p,this.beta2),P(Pe(u),1-this.beta2)),d=de(m,n),h=de(f,o);c.assign(m),p.assign(f);let g=Q(P(de(d,Q(yt(h),this.epsilon)),-this.learningRate),i);i.assign(g)}),this.accBeta1.assign(P(this.accBeta1,this.beta1)),this.accBeta2.assign(P(this.accBeta2,this.beta2))}),this.incrementIterations()}dispose(){this.accBeta1.dispose(),this.accBeta2.dispose(),this.accumulatedFirstMoment!=null&&Ee(this.accumulatedFirstMoment.map(e=>e.variable)),this.accumulatedSecondMoment!=null&&Ee(this.accumulatedSecondMoment.map(e=>e.variable))}async getWeights(){let e=[...this.accumulatedFirstMoment,...this.accumulatedSecondMoment];return[await this.saveIterations()].concat(e.map(t=>({name:t.originalName,tensor:t.variable})))}async setWeights(e){e=await this.extractIterations(e),V(()=>{this.accBeta1.assign(Fr(this.beta1,this.iterations_+1)),this.accBeta2.assign(Fr(this.beta2,this.iterations_+1))});let t=e.length/2,n=!1;this.accumulatedFirstMoment=e.slice(0,t).map(o=>({originalName:o.name,variable:o.tensor.variable(n)})),this.accumulatedSecondMoment=e.slice(t,t*2).map(o=>({originalName:o.name,variable:o.tensor.variable(n)}))}getConfig(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon}}static fromConfig(e,t){return new e(t.learningRate,t.beta1,t.beta2,t.epsilon)}};ap.className="Adam";en(ap);var lp=class extends Or{constructor(e,t,n,o=null,s=0){super();this.learningRate=e,this.beta1=t,this.beta2=n,this.epsilon=o,this.decay=s,this.accumulatedFirstMoment=[],this.accumulatedWeightedInfNorm=[],V(()=>{this.iteration=le(0).variable(),this.accBeta1=le(t).variable()}),o==null&&(this.epsilon=D.backend.epsilon())}applyGradients(e){let t=Array.isArray(e)?e.map(n=>n.name):Object.keys(e);V(()=>{let n=ue(1,this.accBeta1),o=de(-this.learningRate,Q(P(this.iteration,this.decay),1));t.forEach((s,a)=>{let i=D.registeredVariables[s],l=!1;this.accumulatedFirstMoment[a]==null&&(this.accumulatedFirstMoment[a]={originalName:`${s}/m`,variable:Ie(i).variable(l)}),this.accumulatedWeightedInfNorm[a]==null&&(this.accumulatedWeightedInfNorm[a]={originalName:`${s}/v`,variable:Ie(i).variable(l)});let u=Array.isArray(e)?e[a].tensor:e[s];if(u==null)return;let c=this.accumulatedFirstMoment[a].variable,p=this.accumulatedWeightedInfNorm[a].variable,m=Q(P(c,this.beta1),P(u,1-this.beta1)),f=P(p,this.beta2),d=Et(u),h=Hr(f,d);c.assign(m),p.assign(h);let g=Q(P(de(o,n),de(m,Q(h,this.epsilon))),i);i.assign(g)}),this.iteration.assign(Q(this.iteration,1)),this.accBeta1.assign(P(this.accBeta1,this.beta1))}),this.incrementIterations()}dispose(){this.accBeta1.dispose(),this.iteration.dispose(),this.accumulatedFirstMoment!=null&&Ee(this.accumulatedFirstMoment.map(e=>e.variable)),this.accumulatedWeightedInfNorm!=null&&Ee(this.accumulatedWeightedInfNorm.map(e=>e.variable))}async getWeights(){throw new Error("getWeights() is not implemented for Adamax yet.")}async setWeights(e){throw new Error("setWeights() is not implemented for Adamax yet.")}getConfig(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon,decay:this.decay}}static fromConfig(e,t){return new e(t.learningRate,t.beta1,t.beta2,t.epsilon,t.decay)}};lp.className="Adamax";en(lp);var cl=class extends Or{constructor(e){super();this.learningRate=e,this.setLearningRate(e)}applyGradients(e){(Array.isArray(e)?e.map(n=>n.name):Object.keys(e)).forEach((n,o)=>{let s=Array.isArray(e)?e[o].tensor:e[n];if(s==null)return;let a=D.registeredVariables[n];V(()=>{let i=Q(P(this.c,s),a);a.assign(i)})}),this.incrementIterations()}setLearningRate(e){this.learningRate=e,this.c!=null&&this.c.dispose(),this.c=$t(le(-e))}dispose(){this.c.dispose()}async getWeights(){return[await this.saveIterations()]}async setWeights(e){if(e=await this.extractIterations(e),e.length!==0)throw new Error("SGD optimizer does not have settable weights.")}getConfig(){return{learningRate:this.learningRate}}static fromConfig(e,t){return new e(t.learningRate)}};cl.className="SGD";en(cl);var up=class extends cl{constructor(e,t,n=!1){super(e);this.learningRate=e,this.momentum=t,this.useNesterov=n,this.accumulations=[],this.m=le(this.momentum)}applyGradients(e){(Array.isArray(e)?e.map(n=>n.name):Object.keys(e)).forEach((n,o)=>{let s=D.registeredVariables[n];if(this.accumulations[o]==null){let l=!1;this.accumulations[o]={originalName:`${n}/momentum`,variable:V(()=>Ie(s).variable(l))}}let a=this.accumulations[o].variable,i=Array.isArray(e)?e[o].tensor:e[n];i!=null&&V(()=>{let l,u=Q(P(this.m,a),i);this.useNesterov?l=Q(P(this.c,Q(i,P(u,this.m))),s):l=Q(P(this.c,u),s),a.assign(u),s.assign(l)})}),this.incrementIterations()}dispose(){this.m.dispose(),this.accumulations!=null&&Ee(this.accumulations.map(e=>e.variable))}setMomentum(e){this.momentum=e}async getWeights(){return[await this.saveIterations()].concat(this.accumulations.map(e=>({name:e.originalName,tensor:e.variable})))}async setWeights(e){e=await this.extractIterations(e);let t=!1;this.accumulations=e.map(n=>({originalName:n.name,variable:n.tensor.variable(t)}))}getConfig(){return{learningRate:this.learningRate,momentum:this.momentum,useNesterov:this.useNesterov}}static fromConfig(e,t){return new e(t.learningRate,t.momentum,t.useNesterov)}};up.className="Momentum";en(up);var cp=class extends Or{constructor(e,t=.9,n=0,o=null,s=!1){super();if(this.learningRate=e,this.decay=t,this.momentum=n,this.epsilon=o,this.accumulatedMeanSquares=[],this.accumulatedMoments=[],this.accumulatedMeanGrads=[],this.centered=s,o==null&&(this.epsilon=D.backend.epsilon()),e==null)throw new Error("learningRate for RMSPropOptimizer must be defined.")}applyGradients(e){(Array.isArray(e)?e.map(n=>n.name):Object.keys(e)).forEach((n,o)=>{let s=D.registeredVariables[n],a=!1;this.accumulatedMeanSquares[o]==null&&(this.accumulatedMeanSquares[o]={originalName:`${n}/rms`,variable:V(()=>Ie(s).variable(a))}),this.accumulatedMoments[o]==null&&(this.accumulatedMoments[o]={originalName:`${n}/momentum`,variable:V(()=>Ie(s).variable(a))}),this.accumulatedMeanGrads[o]==null&&this.centered&&(this.accumulatedMeanGrads[o]={originalName:`${n}/mg`,variable:V(()=>Ie(s).variable(a))});let i=Array.isArray(e)?e[o].tensor:e[n];if(i==null)return;let l=this.accumulatedMeanSquares[o].variable,u=this.accumulatedMoments[o].variable;V(()=>{let c=Q(P(l,this.decay),P(Pe(i),1-this.decay));if(this.centered){let p=this.accumulatedMeanGrads[o].variable,m=Q(P(p,this.decay),P(i,1-this.decay)),f=de(P(i,this.learningRate),yt(ue(c,Q(Pe(m),this.epsilon)))),d=Q(P(u,this.momentum),f);l.assign(c),p.assign(m),u.assign(d);let h=ue(s,d);s.assign(h)}else{let p=Q(P(l,this.decay),P(Pe(i),1-this.decay)),m=Q(P(u,this.momentum),de(P(i,this.learningRate),yt(Q(p,this.epsilon))));l.assign(p),u.assign(m);let f=ue(s,m);s.assign(f)}})}),this.incrementIterations()}dispose(){this.accumulatedMeanSquares!=null&&Ee(this.accumulatedMeanSquares.map(e=>e.variable)),this.accumulatedMeanGrads!=null&&this.centered&&Ee(this.accumulatedMeanGrads.map(e=>e.variable)),this.accumulatedMoments!=null&&Ee(this.accumulatedMoments.map(e=>e.variable))}async getWeights(){let e=[...this.accumulatedMeanSquares,...this.accumulatedMoments];return this.centered&&e.push(...this.accumulatedMeanGrads),[await this.saveIterations()].concat(e.map(t=>({name:t.originalName,tensor:t.variable})))}async setWeights(e){e=await this.extractIterations(e);let t=this.centered?e.length/3:e.length/2,n=!1;this.accumulatedMeanSquares=e.slice(0,t).map(o=>({originalName:o.name,variable:o.tensor.variable(n)})),this.accumulatedMoments=e.slice(t,t*2).map(o=>({originalName:o.name,variable:o.tensor.variable(n)})),this.centered&&(this.accumulatedMeanGrads=e.slice(t*2,t*3).map(o=>({originalName:o.name,variable:o.tensor.variable(n)})))}getConfig(){return{learningRate:this.learningRate,decay:this.decay,momentum:this.momentum,epsilon:this.epsilon,centered:this.centered}}static fromConfig(e,t){return new e(t.learningRate,t.decay,t.momentum,t.epsilon,t.centered)}};cp.className="RMSProp";en(cp);var Oa=class{static sgd(e){return new cl(e)}static momentum(e,t,n=!1){return new up(e,t,n)}static rmsprop(e,t=.9,n=0,o=null,s=!1){return new cp(e,t,n,o,s)}static adam(e=.001,t=.9,n=.999,o=null){return new ap(e,t,n,o)}static adadelta(e=.001,t=.95,n=null){return new sp(e,t,n)}static adamax(e=.002,t=.9,n=.999,o=null,s=0){return new lp(e,t,n,o,s)}static adagrad(e,t=.1){return new ip(e,t)}};var pl={sgd:Oa.sgd,momentum:Oa.momentum,adadelta:Oa.adadelta,adagrad:Oa.adagrad,rmsprop:Oa.rmsprop,adamax:Oa.adamax,adam:Oa.adam};var Tq=(()=>typeof requestAnimationFrame!="undefined"?requestAnimationFrame:typeof setImmediate!="undefined"?setImmediate:r=>r())();function mf(){return new Promise(r=>Tq(()=>r()))}var 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GH(r){let{inputs:e,backend:t,attrs:n}=r,{dy:o,input:s}=e,a=s;ee([o,s],"avgPoolGrad");let{filterSize:i,strides:l,pad:u}=n,c=N.computePool2DInfo(a.shape,i,l,1,u),p=c.strideHeight,m=c.strideWidth,f=c.filterHeight,d=c.filterWidth,h=c.dilationHeight,g=c.dilationWidth,x=c.effectiveFilterHeight,b=c.effectiveFilterWidth,w=b-1-c.padInfo.left,_=x-1-c.padInfo.top,k=Ce(a.shape,"float32"),E=1/(f*d),S=t.data.get(o.dataId).values,R=Ce(o.shape,"float32",S);for(let F=0;F=c.outHeight||Math.floor(te)!==te))for(let X=0;X=c.outWidth||Math.floor(re)!==re)continue;K+=R.get(F,te,re,L)}}k.set(K*E,F,G,j,L)}return t.makeTensorInfo(k.shape,k.dtype,k.values)}var GT={kernelName:jl,backendName:"cpu",kernelFunc:GH};function jH(r){let{inputs:e,backend:t,attrs:n}=r,{x:o,scale:s,offset:a,mean:i,variance:l}=e;y.assert(i.shape.length===l.shape.length,()=>"Batch normalization gradient requires mean and variance to have equal ranks."),y.assert(a==null||i.shape.length===a.shape.length,()=>"Batch normalization gradient 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tt({inputs:{x:h},backend:t,attrs:{shape:[-1,g]}})}),c=u.map(h=>({vals:t.data.get(h.dataId).values,shape:h.shape}));a=N.computeOutShape(u.map(h=>h.shape),1);let p=u[0].shape[0]===1,m=df(c,a,e[0].dtype,p),f=N.computeOutShape(i.map(h=>h.shape),s),d=t.makeTensorInfo(f,e[0].dtype,m);return u.forEach(h=>t.disposeIntermediateTensorInfo(h)),d}var XT={kernelName:cs,backendName:"cpu",kernelFunc:ml};function A_(r){let{inputs:e,backend:t,attrs:n}=r,{x:o,filter:s}=e,{strides:a,pad:i,dataFormat:l,dilations:u,dimRoundingMode:c}=n;ee([o,s],"conv2d");let p=N.convertConv2DDataFormat(l),m=N.computeConv2DInfo(o.shape,s.shape,a,u,i,c,!1,p),f=m.filterHeight,d=m.filterWidth,h=m.dilationHeight,g=m.dilationWidth,x=m.padInfo.left,b=m.padInfo.top,w=m.dataFormat==="channelsLast",_=new ct(m.outShape,o.dtype),k=y.computeStrides(o.shape),E=y.computeStrides(s.shape),S=k[0],R=w?k[1]:k[2],F=w?k[2]:1,L=w?1:k[1],G=_.strides[0],j=w?_.strides[1]:_.strides[2],U=w?_.strides[2]:1,Y=w?1:_.strides[1],K=t.data.get(o.dataId).values,Z=t.data.get(s.dataId).values,te=_.values;for(let X=0;X=m.inHeight)continue;let we=xe*E[0],ke=re+ge*R;for(let De=0;De=m.inWidth)continue;let kt=we+qe*E[1],vt=ke+ut*F,pt=kt;for(let Ct=0;Ct=u.inDepth)continue;let X=Z*F[0],re=G+te*R[1];for(let ie=0;ie=u.inHeight)continue;let ge=X+ae*F[1],we=re+xe*R[2];for(let ke=0;ke=u.inWidth)continue;let ut=ge+Re*F[2],kt=we+qe*u.inChannels,vt=ut;for(let pt=0;ptMath.cos(r)),r1={kernelName:eo,backendName:"cpu",kernelFunc:QH};var eK=Ae(ri,r=>Math.cosh(r)),n1={kernelName:ri,backendName:"cpu",kernelFunc:eK};function tK(r){let{inputs:e,backend:t,attrs:n}=r,{image:o,boxes:s,boxInd:a}=e,{cropSize:i,method:l,extrapolationValue:u}=n,[c,p,m,f]=o.shape,d=s.shape[0],[h,g]=i,x=Ce([d,h,g,f],"float32"),b=t.data.get(s.dataId).values,w=t.data.get(a.dataId).values,_=t.data.get(o.dataId).values,k=y.computeStrides(o.shape),E=y.computeStrides(x.shape);for(let S=0;S=c)continue;let Y=h>1?(G-F)*(p-1)/(h-1):0,K=g>1?(j-L)*(m-1)/(g-1):0;for(let Z=0;Z1?F*(p-1)+Z*Y:.5*(F+G)*(p-1);if(te<0||te>p-1){for(let X=0;X1?L*(m-1)+se*K:.5*(L+j)*(m-1);if(pe<0||pe>m-1){for(let we=0;we1?L*(m-1)+X*K:.5*(L+j)*(m-1);if(re<0||re>m-1){for(let pe=0;pex+d-b-1:(x,b)=>x+b;for(let x=0;x`Only NHWC dataFormat supported on CPU for depthToSpace. 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pe=y.locToIndex([K,Z,X,ie],j,y.computeStrides(L));U[pe]=se}}}return{dataId:l.write(y.toTypedArray(U,n.dtype),L,n.dtype),shape:L,dtype:n.dtype}}};var f1={kernelName:Mc,backendName:"cpu",kernelFunc:({inputs:r,backend:e,attrs:t})=>{let{x:n,filter:o,dy:s}=r,{strides:a,pad:i,dilations:l}=t,u=e,c=y.toNestedArray(n.shape,u.data.get(n.dataId).values),p=y.toNestedArray(o.shape,u.data.get(o.dataId).values),{batchSize:m,inHeight:f,inWidth:d,inChannels:h,outHeight:g,outWidth:x,padInfo:b,strideHeight:w,strideWidth:_,filterHeight:k,filterWidth:E,dilationHeight:S,dilationWidth:R,outShape:F}=N.computeDilation2DInfo(n.shape,o.shape,a,i,"NHWC",l);y.assert(s.rank===F.length,()=>`Error in ${Mc}, dy must have the same rank as output ${F.length}, but got ${s.rank}`);let L=y.toNestedArray(F,u.data.get(s.dataId).values),G=y.makeZerosNestedTypedArray(o.shape,o.dtype);for(let 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es",e="in",t="out",n="in",o="texture",s="outputColor",a="out vec4 outputColor;",i=` + bool isnan_custom(float val) { + return (val > 0.0 || val < 0.0) ? false : val != 0.0; + } + + bvec4 isnan_custom(vec4 val) { + return bvec4(isnan_custom(val.x), + isnan_custom(val.y), isnan_custom(val.z), isnan_custom(val.w)); + } + + #define isnan(value) isnan_custom(value) + `,l="",u=` + #define round(value) newRound(value) + int newRound(float value) { + return int(floor(value + 0.5)); + } + + ivec4 newRound(vec4 value) { + return ivec4(floor(value + vec4(0.5))); + } + `):(r="",e="attribute",t="varying",n="varying",o="texture2D",s="gl_FragColor",a="",i=` + #define isnan(value) isnan_custom(value) + bool isnan_custom(float val) { + return (val > 0. || val < 1. || val == 0.) ? false : true; + } + bvec4 isnan_custom(vec4 val) { + return bvec4(isnan(val.x), isnan(val.y), isnan(val.z), isnan(val.w)); + } + `,l=` + uniform float INFINITY; + + bool isinf(float val) { + return abs(val) == INFINITY; + } + bvec4 isinf(vec4 val) { + return equal(abs(val), vec4(INFINITY)); + } + `,u=` + int round(float value) { + return int(floor(value + 0.5)); + } + + ivec4 round(vec4 value) { + return ivec4(floor(value + vec4(0.5))); + } + `),{version:r,attribute:e,varyingVs:t,varyingFs:n,texture2D:o,output:s,defineOutput:a,defineSpecialNaN:i,defineSpecialInf:l,defineRound:u}}function Os(r,e,t="index"){let n=y.computeStrides(e);return n.map((o,s)=>{let a=`int ${r[s]} = ${t} / ${o}`,i=s===n.length-1?`int ${r[s+1]} = ${t} - ${r[s]} * ${o}`:`index -= ${r[s]} * ${o}`;return`${a}; ${i};`}).join("")}function yp(r){let e=y.computeStrides(r).map(t=>t.toString());return` + int getFlatIndex(ivec3 coords) { + return coords.x * ${e[0]} + coords.y * ${e[1]} + coords.z; + } +`}var Gg=` + const float FLOAT_MAX = 1.70141184e38; + const float FLOAT_MIN = 1.17549435e-38; + + lowp vec4 encode_float(highp float v) { + if (isnan(v)) { + return vec4(255, 255, 255, 255); + } + + highp float av = abs(v); + + if(av < FLOAT_MIN) { + return vec4(0.0, 0.0, 0.0, 0.0); + } else if(v > FLOAT_MAX) { + return vec4(0.0, 0.0, 128.0, 127.0) / 255.0; + } else if(v < -FLOAT_MAX) { + return vec4(0.0, 0.0, 128.0, 255.0) / 255.0; + } + + highp vec4 c = vec4(0,0,0,0); + + highp float e = floor(log2(av)); + highp float m = exp2(fract(log2(av))) - 1.0; + + c[2] = floor(128.0 * m); + m -= c[2] / 128.0; + c[1] = floor(32768.0 * m); + m -= c[1] / 32768.0; + c[0] = floor(8388608.0 * m); + + highp float ebias = e + 127.0; + c[3] = floor(ebias / 2.0); + ebias -= c[3] * 2.0; + c[2] += floor(ebias) * 128.0; + + c[3] += 128.0 * step(0.0, -v); + + return c / 255.0; + } +`;var mk=class{constructor(e){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outPackingScheme=fl.DENSE;let t=dl(e),n=Pt();this.outputShape=e,this.userCode=` + ivec3 outCoordsFromFlatIndex(int index) { + ${Os(["r","c","d"],e)} + return ivec3(r, c, d); + } + + void main() { + ivec2 resTexRC = ivec2(resultUV.yx * + vec2(${t[0]}, ${t[1]})); + int index = 4 * (resTexRC.x * ${t[1]} + resTexRC.y); + + vec4 result = vec4(0.); + + for (int i=0; i<4; i++) { + int flatIndex = index + i; + ivec3 rc = outCoordsFromFlatIndex(flatIndex); + result[i] = getA(rc.x, rc.y, rc.z); + } + + ${n.output} = result; + } + `}};var fk=class{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outPackingScheme=fl.DENSE;let t=dl(e),n=Pt();this.outputShape=e,this.userCode=` + ivec3 outCoordsFromFlatIndex(int index) { + ${Os(["r","c","d"],e)} + return ivec3(r, c, d); + } + + void main() { + ivec2 resTexRC = ivec2(resultUV.yx * + vec2(${t[0]}, ${t[1]})); + int index = 4 * (resTexRC.x * ${t[1]} + resTexRC.y); + + vec4 result = vec4(0.); + + for (int i=0; i<4; i++) { + int flatIndex = index + i; + ivec3 rc = outCoordsFromFlatIndex(flatIndex); + result[i] = getChannel(getA(rc.x, rc.y, rc.z), vec2(rc.y, rc.z)); + } + + ${n.output} = result; + } + `}};var dk=class{constructor(e){this.variableNames=["A"],this.outTexUsage=Ar.DOWNLOAD;let t=Pt();this.outputShape=e,this.userCode=` + ${Gg} + + void main() { + float x = getAAtOutCoords(); + ${t.output} = encode_float(x); + } + `}};var hk=class{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outTexUsage=Ar.DOWNLOAD;let t=Pt();this.outputShape=e,this.userCode=` + ${Gg} + + void main() { + ivec3 coords = getOutputCoords(); + float x = getChannel(getAAtOutCoords(), vec2(coords.y, coords.z)); + ${t.output} = encode_float(x); + } + `}};var gk=class{constructor(e,t,n=!1){this.variableNames=["A"];let o=Pt(),[s,a]=t;this.outputShape=e;let i="result";n&&(i="floor(result * 255. + 0.5)"),this.userCode=` + ${yp(e)} + + void main() { + ivec3 coords = getOutputCoords(); + + int flatIndex = getFlatIndex(coords); + int offset = imod(flatIndex, 4); + + flatIndex = idiv(flatIndex, 4, 1.); + + int r = flatIndex / ${a}; + int c = imod(flatIndex, ${a}); + vec2 uv = (vec2(c, r) + halfCR) / vec2(${a}.0, ${s}.0); + vec4 values = ${o.texture2D}(A, uv); + + float result; + + if(offset == 0) { + result = values[0]; + } else if(offset == 1) { + result = values[1]; + } else if(offset == 2) { + result = values[2]; + } else { + result = values[3]; + } + + ${o.output} = vec4(${i}, 0., 0., 0.); + } + `}};var xk=class{constructor(e,t,n=!1){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;let o=Pt(),[s,a]=t;this.outputShape=e;let i="",l="result";n&&(l="floor(result * 255. + 0.5)");for(let u=0;u<=1;u++)for(let c=0;c<=1;c++){let p=u*2+c;i+=` + localCoords = coords; + if(localCoords[2] + ${c} < ${e[2]}) { + localCoords[2] += ${c}; + if(localCoords[1] + ${u} < ${e[1]}) { + localCoords[1] += ${u}; + + flatIndex = getFlatIndex(localCoords); + offset = imod(flatIndex, 4); + + flatIndex = idiv(flatIndex, 4, 1.); + + r = flatIndex / ${a}; + c = imod(flatIndex, ${a}); + uv = (vec2(c, r) + halfCR) / vec2(${a}.0, ${s}.0); + values = ${o.texture2D}(A, uv); + + if(offset == 0) { + result[${p}] = values[0]; + } else if(offset == 1) { + result[${p}] = values[1]; + } else if(offset == 2) { + result[${p}] = values[2]; + } else { + result[${p}] = values[3]; + } + } + } + `}this.userCode=` + ${yp(e)} + + void main() { + ivec3 coords = getOutputCoords(); + + vec4 result = vec4(0.); + int flatIndex, r, c, offset; + ivec3 localCoords; + vec2 uv; + vec4 values; + + ${i} + + ${o.output} = ${l}; + } + `}};var cA={};Ye(cA,{bindVertexProgramAttributeStreams:()=>Nk,createBufferFromOutputTexture:()=>Ek,createFloat16MatrixTexture:()=>kk,createFloat16PackedMatrixTexture:()=>Ik,createFloat32MatrixTexture:()=>_k,createIndexBuffer:()=>wk,createPackedMatrixTexture:()=>Ck,createUnsignedBytesMatrixTexture:()=>vk,createVertexBuffer:()=>bk,createVertexShader:()=>yk,downloadByteEncodedFloatMatrixFromOutputTexture:()=>Dk,downloadFloat32MatrixFromBuffer:()=>Ak,downloadMatrixFromPackedOutputTexture:()=>Rk,downloadPackedMatrixFromBuffer:()=>$k,getInternalFormatForFloat16MatrixTexture:()=>Wg,getInternalFormatForFloat16PackedMatrixTexture:()=>Hg,getInternalFormatForFloat32MatrixTexture:()=>jg,getInternalFormatForPackedMatrixTexture:()=>qg,getInternalFormatForUnsignedBytesMatrixTexture:()=>Ug,uploadDenseMatrixToTexture:()=>Sk,uploadPixelDataToTexture:()=>Tk});function yk(r){let e=Pt(),t=`${e.version} + precision highp float; + ${e.attribute} vec3 clipSpacePos; + ${e.attribute} vec2 uv; + ${e.varyingVs} vec2 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${r.texture2D}(textureSampler, uv).r; + } + `}function h5(r){return` + void setOutput(float val) { + ${r.output} = vec4(val, 0, 0, 0); + } + `}function g5(r){return` + void setOutput(vec4 val) { + ${r.output} = val; + } + `}function x5(r){return`${r.version} + precision highp float; + precision highp int; + precision highp sampler2D; + ${r.varyingFs} vec2 resultUV; + ${r.defineOutput} + const vec2 halfCR = vec2(0.5, 0.5); + + struct ivec5 + { + int x; + int y; + int z; + int w; + int u; + }; + + struct ivec6 + { + int x; + int y; + int z; + int w; + int u; + int v; + }; + + uniform float NAN; + ${r.defineSpecialNaN} + ${r.defineSpecialInf} + ${r.defineRound} + + int imod(int x, int y) { + return x - y * (x / y); + } + + int idiv(int a, int b, float sign) { + int res = a / b; + int mod = imod(a, b); + if (sign < 0. && mod != 0) { + res -= 1; + } + return res; + } + + //Based on the work of Dave Hoskins + //https://www.shadertoy.com/view/4djSRW + #define HASHSCALE1 443.8975 + float random(float seed){ + vec2 p = resultUV * seed; + vec3 p3 = fract(vec3(p.xyx) * HASHSCALE1); + p3 += dot(p3, p3.yzx + 19.19); + return fract((p3.x + p3.y) * p3.z); + } + + ${j5} + ${W5} + ${U5} + `}var j5=` +vec2 uvFromFlat(int texNumR, int texNumC, int index) { + int texR = index / texNumC; + int texC = index - texR * texNumC; + return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR); +} +vec2 packedUVfrom1D(int texNumR, int texNumC, int index) { + int texelIndex = index / 2; + int texR = texelIndex / texNumC; + int texC = texelIndex - texR * texNumC; + return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR); +} +`,W5=` +vec2 packedUVfrom2D(int texelsInLogicalRow, int texNumR, + int texNumC, int row, int col) { + int texelIndex = (row / 2) * texelsInLogicalRow + (col / 2); + int texR = texelIndex / texNumC; + int texC = texelIndex - texR * texNumC; + return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR); +} +`,U5=` +vec2 packedUVfrom3D(int texNumR, int texNumC, + int 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vec2(${t[0]}, ${t[1]})); + return 2 * (resTexRC.x * ${t[1]} + resTexRC.y); + } + `}function M5(r,e){return e[0]===1?` + int getOutputCoords() { + return int(resultUV.x * ${e[1]}.0); + } + `:e[1]===1?` + int getOutputCoords() { + return int(resultUV.y * ${e[0]}.0); + } + `:` + int getOutputCoords() { + ivec2 resTexRC = ivec2(resultUV.yx * + vec2(${e[0]}, ${e[1]})); + return resTexRC.x * ${e[1]} + resTexRC.y; + } + `}function F5(r,e){let t=[Math.ceil(e[0]/2),Math.ceil(e[1]/2)],n=Math.ceil(r[2]/2),o=n*Math.ceil(r[1]/2);return` + ivec3 getOutputCoords() { + ivec2 resTexRC = ivec2(resultUV.yx * + vec2(${t[0]}, ${t[1]})); + int index = resTexRC.x * ${t[1]} + resTexRC.y; + + int b = index / ${o}; + index -= b * ${o}; + + int r = 2 * (index / ${n}); + int c = imod(index, ${n}) * 2; + + return ivec3(b, r, c); + } + `}function L5(r,e){let t=Os(["r","c","d"],r);return` + ivec3 getOutputCoords() { + ivec2 resTexRC = ivec2(resultUV.yx * + vec2(${e[0]}, ${e[1]})); + int index = resTexRC.x * ${e[1]} 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${c} + vec4 outputValue = get${n}(${m}); + ${f} + } + `}function $5(r,e){let t=r.name,n=t.charAt(0).toUpperCase()+t.slice(1),o="get"+n+"AtOutCoords",s=e.texShape,a=r.shapeInfo.texShape,i=r.shapeInfo.logicalShape.length,l=e.logicalShape.length;if(!r.shapeInfo.isUniform&&i===l&&r.shapeInfo.flatOffset==null&&y.arraysEqual(a,s))return` + float ${o}() { + return sampleTexture(${t}, resultUV); + } + `;let u=Le(l),c=pA(r.shapeInfo.logicalShape,e.logicalShape),p=l-i,m,f=["x","y","z","w","u","v"];i===0?m="":l<2&&c.length>=1?m="coords = 0;":m=c.map(h=>`coords.${f[h+p]} = 0;`).join(` +`);let d="";return l<2&&i>0?d="coords":d=r.shapeInfo.logicalShape.map((h,g)=>`coords.${f[g+p]}`).join(", "),` + float ${o}() { + ${u} coords = getOutputCoords(); + ${m} + return get${n}(${d}); + } + `}function Le(r){if(r<=1)return"int";if(r===2)return"ivec2";if(r===3)return"ivec3";if(r===4)return"ivec4";if(r===5)return"ivec5";if(r===6)return"ivec6";throw Error(`GPU for rank ${r} is not yet supported`)}function 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+ bool rEdge = rp1 >= ${t}; + `}function K5(r,e){let t=r.length,n=X5(t,e);return t===1?`getA(rc), + rc + 1 >= ${r[0]} ? 0. : getA(rc + 1), + 0, 0`:`getA(${n[0]}), + cEdge ? 0. : getA(${n[1]}), + rEdge ? 0. : getA(${n[2]}), + rEdge || cEdge ? 0. : getA(${n[3]})`}var Ef=class{constructor(e,t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e;let n="";for(let o=0;o<4;o++){let s="thisRC = rc;";o%2==1&&(s+="thisRC.z += 1;"),o>1&&(s+="thisRC.y += 1;"),n+=` + ${s} + ${o>0?"if(thisRC.y < rows && thisRC.z < cols){":""} + int flatIndex = getFlatIndex(thisRC); + + ivec3 inputRC = inputCoordsFromReshapedOutCoords(flatIndex); + vec2 inputRCInnerDims = vec2(float(inputRC.y),float(inputRC.z)); + + result[${o}] = + getChannel(getA(inputRC.x, inputRC.y, inputRC.z), inputRCInnerDims); + ${o>0?"}":""} + `}this.userCode=` + ${Y5(t)} + ${yp(e)} + + void main() { + ivec3 rc = getOutputCoords(); + + vec4 result = vec4(0.); + + ivec3 thisRC; + int rows = ${e[1]}; + int cols = ${e[2]}; + + ${n} + + setOutput(result); + } + `}};function Y5(r){return` + ivec3 inputCoordsFromReshapedOutCoords(int index) { + ${Os(["r","c","d"],r)} + return ivec3(r, c, d); + } + `}var Pk=class{constructor(e){this.gpgpu=e,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0,this.freeTextures={},this.logEnabled=!1,this.usedTextures={}}acquireTexture(e,t,n){let o=HA(t,n),s=KA(e,o,n);s in this.freeTextures||(this.freeTextures[s]=[]),s in this.usedTextures||(this.usedTextures[s]=[]);let a=qA(e,o,this.gpgpu.gl,this.gpgpu.textureConfig,n);if(this.freeTextures[s].length>0){this.numFreeTextures--,this.numUsedTextures++,this._numBytesFree-=a,this.log();let l=this.freeTextures[s].shift();return this.usedTextures[s].push(l),l}let i;return o===wr.PACKED_2X2_FLOAT32?i=this.gpgpu.createPackedMatrixTexture(e[0],e[1]):o===wr.PACKED_2X2_FLOAT16?i=this.gpgpu.createFloat16PackedMatrixTexture(e[0],e[1]):o===wr.UNPACKED_FLOAT32?i=this.gpgpu.createFloat32MatrixTexture(e[0],e[1]):o===wr.UNPACKED_FLOAT16?i=this.gpgpu.createFloat16MatrixTexture(e[0],e[1]):o===wr.PACKED_4X1_UNSIGNED_BYTE&&(i=this.gpgpu.createUnsignedBytesMatrixTexture(e[0],e[1])),this.usedTextures[s].push(i),this.numUsedTextures++,this._numBytesAllocated+=a,this.log(),i}releaseTexture(e,t,n,o){if(this.freeTextures==null)return;let s=HA(n,o),a=KA(t,s,o);a in this.freeTextures||(this.freeTextures[a]=[]);let i=qA(t,s,this.gpgpu.gl,this.gpgpu.textureConfig,o),l=W().get("WEBGL_DELETE_TEXTURE_THRESHOLD");l!==-1&&this._numBytesAllocated>l?(this.gpgpu.deleteMatrixTexture(e),this._numBytesAllocated-=i):(this.freeTextures[a].push(e),this.numFreeTextures++,this._numBytesFree+=i),this.numUsedTextures--;let u=this.usedTextures[a],c=u.indexOf(e);if(c<0)throw new Error("Cannot release a texture that was never provided by this texture manager");u.splice(c,1),this.log()}log(){if(!this.logEnabled)return;let e=this.numFreeTextures+this.numUsedTextures;console.log("Free/Used",`${this.numFreeTextures} / ${this.numUsedTextures}`,`(${e})`);let t=this._numBytesFree/this._numBytesAllocated;console.log(`Bytes allocated: ${this._numBytesAllocated}`),console.log(`Bytes unused: ${this._numBytesFree} (${Math.round(100*t)}%)`)}get numBytesAllocated(){return this._numBytesAllocated}get numBytesFree(){return this._numBytesFree}getNumUsedTextures(){return this.numUsedTextures}getNumFreeTextures(){return this.numFreeTextures}dispose(){if(this.freeTextures!=null){for(let e in this.freeTextures)this.freeTextures[e].forEach(t=>{this.gpgpu.deleteMatrixTexture(t)});for(let e in this.usedTextures)this.usedTextures[e].forEach(t=>{this.gpgpu.deleteMatrixTexture(t)});this.freeTextures=null,this.usedTextures=null,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0}}};function Z5(r,e){let t=r;if(e===t.R32F)return 4;if(e===t.R16F)return 2;if(e===t.RGBA32F)return 16;if(e===r.RGBA)return 16;if(e===t.RGBA16F)return 8;throw new Error(`Unknown internal format ${e}`)}function qA(r,e,t,n,o){let s=J5(e,n),a;if(o){let[l,u]=ji(r[0],r[1]);a=l*u}else{let[l,u]=Ju(r[0],r[1]);a=l*u}let i=Z5(t,s);return a*i}function J5(r,e){switch(r){case wr.PACKED_2X2_FLOAT32:return qg(e);case wr.PACKED_2X2_FLOAT16:return Hg(e);case wr.UNPACKED_FLOAT32:return jg(e);case wr.UNPACKED_FLOAT16:return Wg(e);case wr.PACKED_4X1_UNSIGNED_BYTE:return Ug(e);default:throw new Error(`Unknown physical texture type ${r}`)}}function Q5(r){return W().getBool("WEBGL_RENDER_FLOAT32_ENABLED")?r?wr.PACKED_2X2_FLOAT32:wr.UNPACKED_FLOAT32:r?wr.PACKED_2X2_FLOAT16:wr.UNPACKED_FLOAT16}function HA(r,e){if(r===Ar.UPLOAD)return wr.PACKED_2X2_FLOAT32;if(r===Ar.RENDER||r==null)return Q5(e);if(r===Ar.DOWNLOAD||r===Ar.PIXELS)return wr.PACKED_4X1_UNSIGNED_BYTE;throw new Error(`Unknown logical texture type ${r}`)}function KA(r,e,t){return`${r[0]}_${r[1]}_${e}_${t}`}var rn=class{constructor(e,t){this.variableNames=["A"],this.outputShape=e,this.userCode=` + float unaryOperation(float x) { + ${t} + } + + void main() { + float x = getAAtOutCoords(); 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+ result.b = isNaN.b ? x.b : result.b; + result.a = isNaN.a ? x.a : result.a; + + return result; +`,Ps=class{constructor(e,t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.userCode=` + vec4 unaryOperation(vec4 x) { + ${t} + } + + void main() { + vec4 x = getAAtOutCoords(); + vec4 y = unaryOperation(x); + + setOutput(y); + } + `}};var Lk=class{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outputShape=e;let t=e.length,n=Wt("rc",t),o=Le(t),s=UA(t,n),a=n.slice(-2),i=t<=1?"rc":`vec2(${a.join(",")})`;this.userCode=` + void main() { + ${o} rc = getOutputCoords(); + vec4 packedInput = getA(${s}); + + setOutput(getChannel(packedInput, ${i})); + } + `}};var e8=Tr.whereImpl,t8=1e-7,r8=1e-4,Zg={};function n8(r){return r in Zg||(Zg[r]={}),Zg[r]}var o8=128,s8=600;function i8(){return W().global.screen==null?1024:W().global.screen.height*W().global.screen.width*window.devicePixelRatio*s8/1024/1024}var ec=class extends qs{constructor(e){super();if(this.pendingRead=new WeakMap,this.pendingDisposal=new WeakSet,this.dataRefCount=new WeakMap,this.numBytesInGPU=0,this.uploadWaitMs=0,this.downloadWaitMs=0,this.warnedAboutMemory=!1,this.warnedAboutCPUBackend=!1,this.pendingDeletes=0,this.disposed=!1,!W().getBool("HAS_WEBGL"))throw new Error("WebGL is not supported on this device");if(e==null){let t=zn(W().getNumber("WEBGL_VERSION"));this.binaryCache=n8(W().getNumber("WEBGL_VERSION")),this.gpgpu=new Kg(t),this.canvas=t.canvas,this.gpgpuCreatedLocally=!0}else this.gpgpu=e,this.binaryCache={},this.gpgpuCreatedLocally=!1,this.canvas=e.gl.canvas;this.textureManager=new Pk(this.gpgpu),this.numMBBeforeWarning=i8(),this.texData=new Ja(this,On())}nextDataId(){return ec.nextDataId++}numDataIds(){return this.texData.numDataIds()+(this.cpuBackend?this.cpuBackend.numDataIds():0)-this.pendingDeletes}write(e,t,n){if((W().getBool("WEBGL_CHECK_NUMERICAL_PROBLEMS")||W().getBool("DEBUG"))&&this.checkNumericalProblems(e),n==="complex64"&&e!=null)throw new Error("Cannot write to a complex64 dtype. 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t=this.texData.get(e),{values:n,shape:o,slice:s,dtype:a,complexTensorInfos:i,isPacked:l}=t;if(s!=null){let d;l?d=new Ps(o,Af):d=new rn(o,Af);let h=this.runWebGLProgram(d,[{dataId:e,shape:o,dtype:a}],a),g=this.read(h.dataId);return this.disposeIntermediateTensorInfo(h),g}if(n!=null)return this.convertAndCacheOnCPU(e);if(!W().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")&&W().getNumber("WEBGL_VERSION")===2)throw new Error("tensor.data() with WEBGL_DOWNLOAD_FLOAT_ENABLED=false and WEBGL_VERSION=2 not yet supported.");let u=null,c;if(a!=="complex64"&&W().get("WEBGL_BUFFER_SUPPORTED")){c=this.decode(e);let d=this.texData.get(c.dataId);u=this.gpgpu.createBufferFromTexture(d.texture,...dl(o))}this.pendingRead.set(e,[]),a!=="complex64"&&await this.gpgpu.createAndWaitForFence();let p;if(a==="complex64"){let d=await Promise.all([this.read(i.real.dataId),this.read(i.imag.dataId)]),h=d[0],g=d[1];p=N.mergeRealAndImagArrays(h,g)}else if(u==null)p=this.getValuesFromTexture(e);else{let d=y.sizeFromShape(o);p=this.gpgpu.downloadFloat32MatrixFromBuffer(u,d)}c!=null&&this.disposeIntermediateTensorInfo(c);let m=this.convertAndCacheOnCPU(e,p),f=this.pendingRead.get(e);return this.pendingRead.delete(e),f.forEach(d=>d(m)),this.pendingDisposal.has(e)&&(this.pendingDisposal.delete(e),this.disposeData(e)&&On().removeDataId(e,this),this.pendingDeletes--),m}bufferSync(e){let t=this.readSync(e.dataId),n=t;if(e.dtype==="string")try{n=t.map(o=>y.decodeString(o))}catch(o){throw new Error("Failed to decode encoded string bytes into utf-8")}return Ce(e.shape,e.dtype,n)}checkNumericalProblems(e){if(e!=null)for(let t=0;t0}async time(e){let t=this.activeTimers,n=[],o=!1;this.programTimersStack==null?(this.programTimersStack=n,o=!0):this.activeTimers.push(n),this.activeTimers=n,e();let s=y.flatten(this.activeTimers.map(l=>l.query)).filter(l=>l!=null),a=y.flatten(this.activeTimers.map(l=>l.name)).filter(l=>l!=null);this.activeTimers=t,o&&(this.programTimersStack=null);let i={uploadWaitMs:this.uploadWaitMs,downloadWaitMs:this.downloadWaitMs,kernelMs:null,wallMs:null};if(W().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0){let l=await Promise.all(s);i.kernelMs=y.sum(l),i.getExtraProfileInfo=()=>l.map((u,c)=>({name:a[c],ms:u})).map(u=>`${u.name}: ${u.ms}`).join(", ")}else i.kernelMs={error:"WebGL query timers are not supported in this environment."};return this.uploadWaitMs=0,this.downloadWaitMs=0,i}memory(){return{unreliable:!1,numBytesInGPU:this.numBytesInGPU,numBytesInGPUAllocated:this.textureManager.numBytesAllocated,numBytesInGPUFree:this.textureManager.numBytesFree}}startTimer(){return W().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?this.gpgpu.beginQuery():{startMs:y.now(),endMs:null}}endTimer(e){return W().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?(this.gpgpu.endQuery(),e):(e.endMs=y.now(),e)}async getQueryTime(e){if(W().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0)return this.gpgpu.waitForQueryAndGetTime(e);let t=e;return t.endMs-t.startMs}disposeData(e,t=!1){if(this.pendingDisposal.has(e))return!1;if(!this.texData.has(e))return!0;if(t?this.texData.get(e).refCount=0:this.texData.get(e).refCount--,!t&&this.texData.get(e).refCount>0)return!1;if(this.pendingRead.has(e))return this.pendingDisposal.add(e),this.pendingDeletes++,!1;this.releaseGPUData(e);let{complexTensorInfos:n}=this.texData.get(e);return n!=null&&(this.disposeData(n.real.dataId,t),this.disposeData(n.imag.dataId,t)),this.texData.delete(e),!0}releaseGPUData(e){let{texture:t,dtype:n,texShape:o,usage:s,isPacked:a,slice:i}=this.texData.get(e),l=i&&i.origDataId||e,u=this.dataRefCount.get(l);u>1?this.dataRefCount.set(l,u-1):(this.dataRefCount.delete(l),t!=null&&(this.numBytesInGPU-=this.computeBytes(o,n),this.textureManager.releaseTexture(t,o,s,a)));let c=this.texData.get(e);c.texture=null,c.texShape=null,c.isPacked=!1,c.slice=null}getTexture(e){return this.uploadToGPU(e),this.texData.get(e).texture}getDataInfo(e){return this.texData.get(e)}getCPUBackend(){return W().getBool("WEBGL_CPU_FORWARD")?(this.cpuBackend==null&&(this.cpuBackend=On().findBackend("cpu")),this.cpuBackend):null}shouldExecuteOnCPU(e,t=o8){let n=this.getCPUBackend();return!W().getBool("IS_TEST")&&!this.warnedAboutCPUBackend&&n==null&&(console.warn("Your application contains ops that are small enough to be executed on the CPU backend, however the CPU backend cannot be found. 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NAN : result.r; + result.g = isNaN.g > 0. ? NAN : result.g; + result.b = isNaN.b > 0. ? NAN : result.b; + result.a = isNaN.a > 0. ? NAN : result.a; +`;var Ms=class{constructor(e,t,n,o=!1){this.variableNames=["A","B"],this.supportsBroadcasting=!0,this.packedInputs=!0,this.packedOutput=!0,this.outputShape=N.assertAndGetBroadcastShape(t,n);let s=this.outputShape.length,a="";if(o)if(s===0||y.sizeFromShape(this.outputShape)===1)a=` + result.y = 0.; + result.z = 0.; + result.w = 0.; + `;else if(a=` + ${Le(s)} coords = getOutputCoords(); + `,s===1)a+=` + result.y = (coords + 1) >= ${this.outputShape[0]} ? 0. : result.y; + result.z = 0.; + result.w = 0.; + `;else{let l=Wt("coords",s);a+=` + bool nextRowOutOfBounds = + (${l[s-2]} + 1) >= ${this.outputShape[s-2]}; + bool nextColOutOfBounds = + (${l[s-1]} + 1) >= ${this.outputShape[s-1]}; + result.y = nextColOutOfBounds ? 0. : result.y; + result.z = nextRowOutOfBounds ? 0. : result.z; + result.w = nextColOutOfBounds || nextRowOutOfBounds ? 0. : result.w; + `}this.userCode=` + vec4 binaryOperation(vec4 a, vec4 b) { + ${e} + } + + void main() { + vec4 a = getAAtOutCoords(); + vec4 b = getBAtOutCoords(); + + vec4 result = binaryOperation(a, b); + ${a} + + setOutput(result); + } + `}};function Ut(r){let{inputs:e,backend:t}=r,{x:n}=e;return t.incRef(n.dataId),{dataId:n.dataId,shape:n.shape,dtype:n.dtype}}var n2={kernelName:$n,backendName:"webgl",kernelFunc:Ut};function nn(r){let{inputs:e,backend:t}=r,{real:n,imag:o}=e,s=t.makeTensorInfo(n.shape,"complex64"),a=t.texData.get(s.dataId),i=Ut({inputs:{x:n},backend:t}),l=Ut({inputs:{x:o},backend:t});return a.complexTensorInfos={real:i,imag:l},s}var o2={kernelName:ql,backendName:"webgl",kernelFunc:nn};var Vk="return (a < 0.) ? b * a : a;",Gk=` + vec4 aLessThanZero = vec4(lessThan(a, vec4(0.))); + return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a); +`;function u8(r){let{inputs:e,backend:t,attrs:n}=r,{x:o}=e,{alpha:s}=n,a=t.makeTensorInfo([],"float32",y.createScalarValue(s,"float32")),i=W().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Ms(Gk,o.shape,a.shape):new Yo(Vk,o.shape,a.shape),l=t.runWebGLProgram(i,[o,a],o.dtype);return t.disposeIntermediateTensorInfo(a),l}var s2={kernelName:uo,backendName:"webgl",kernelFunc:u8};var jk="return (a < 0.) ? b * a : a;",Wk=` + vec4 aLessThanZero = vec4(lessThan(a, vec4(0.))); + return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a); +`;function c8(r){let{inputs:e,backend:t}=r,{x:n,alpha:o}=e,s=W().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Ms(Wk,n.shape,o.shape):new Yo(jk,n.shape,o.shape);return t.runWebGLProgram(s,[n,o],n.dtype)}var i2={kernelName:ko,backendName:"webgl",kernelFunc:c8};var Qg="if (isnan(x)) return x;",a2=` + if (isnan(a)) return a; + if (isnan(b)) return b; +`,l2=` + result.r = isNaN.r > 0. ? NAN : result.r; + result.g = isNaN.g > 0. ? NAN : result.g; + result.b = isNaN.b > 0. ? NAN : result.b; + result.a = isNaN.a > 0. ? NAN : result.a; +`;function ve({opSnippet:r,packedOpSnippet:e,cpuKernelImpl:t,dtype:n}){return({inputs:o,backend:s})=>{let{x:a}=o,i=s,l=n||a.dtype;if(i.shouldExecuteOnCPU([a])&&t!=null){let p=i.texData.get(a.dataId),m=t(p.values,l);return i.makeTensorInfo(a.shape,l,m)}let u=W().getBool("WEBGL_PACK_UNARY_OPERATIONS")&&e!=null,c;return u?c=new Ps(a.shape,e):c=new rn(a.shape,r),i.runWebGLProgram(c,[a],l)}}function it({opSnippet:r,packedOpSnippet:e,checkOutOfBounds:t=!1,supportsComplex:n=!1,cpuKernelImpl:o,dtype:s}){return({inputs:a,backend:i})=>{let{a:l,b:u}=a,c=i;if(n&&l.dtype==="complex64"){let d=c.texData.get(l.dataId),h=c.texData.get(u.dataId),[g,x]=[[d.complexTensorInfos.real,h.complexTensorInfos.real],[d.complexTensorInfos.imag,h.complexTensorInfos.imag]].map(w=>{let[_,k]=w,E={dataId:_.dataId,dtype:_.dtype,shape:l.shape},S={dataId:k.dataId,dtype:k.dtype,shape:u.shape},R=new Yo(r,l.shape,u.shape);return c.runWebGLProgram(R,[E,S],fr(_.dtype,k.dtype))}),b=nn({inputs:{real:g,imag:x},backend:c});return c.disposeIntermediateTensorInfo(g),c.disposeIntermediateTensorInfo(x),b}let p=s||fr(l.dtype,u.dtype);if(c.shouldExecuteOnCPU([l,u])&&o!=null){let d=c.texData.get(l.dataId),h=c.texData.get(u.dataId),[g,x]=o(l.shape,u.shape,d.values,h.values,p),b=c.makeTensorInfo(x,p),w=c.texData.get(b.dataId);return w.values=g,b}let m=W().getBool("WEBGL_PACK_BINARY_OPERATIONS")&&e!=null,f;return m?f=new Ms(e,l.shape,u.shape,t):f=new Yo(r,l.shape,u.shape),c.runWebGLProgram(f,[l,u],p)}}function xl(r,e=!1){if(r==="linear")return e?QA:XA;if(r==="relu")return e?t2:ZA;if(r==="elu")return e?e2:YA;if(r==="relu6")return e?r2:JA;if(r==="prelu")return e?Wk:jk;if(r==="leakyrelu")return e?Gk:Vk;throw new Error(`Activation ${r} has not been implemented for the WebGL backend.`)}var Df=class{constructor(e,t,n,o=!1,s=!1,a=!1,i=null,l=!1,u=!1){this.variableNames=["matrixA","matrixB"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=n;let c=o?e[1]:e[2],p=Math.ceil(c/2),m=o?"i * 2, rc.y":"rc.y, i * 2",f=s?"rc.z, i * 2":"i * 2, rc.z",d=o?["a.xxyy","a.zzww"]:["a.xxzz","a.yyww"],h=s?["b.xzxz","b.ywyw"]:["b.xyxy","b.zwzw"],g="",x="";i&&(l?g=`vec4 activation(vec4 a) { + vec4 b = getPreluActivationWeightsAtOutCoords(); + ${i} + }`:u?g=`vec4 activation(vec4 a) { + vec4 b = getLeakyreluAlphaAtOutCoords(); + ${i} + }`:g=`vec4 activation(vec4 x) { + ${i} + }`,x="result = activation(result);");let b=a?"result += getBiasAtOutCoords();":"";a&&this.variableNames.push("bias"),l&&this.variableNames.push("preluActivationWeights"),u&&this.variableNames.push("leakyreluAlpha");let w="rc.x",_="rc.x";e[0]`The new shape (${l}) has ${u} elements and the old shape (${o.shape}) has ${i} elements. The new shape and old shape must have the same number of elements.`);let c=a.texData.get(o.dataId);return c.isPacked&&!hl(o.shape,l)&&!(c.texture!==null&&hl(c.shape,l))?p2(o,l,a):(a.incRef(o.dataId),{dataId:o.dataId,shape:l,dtype:o.dtype})}var m2={kernelName:gs,backendName:"webgl",kernelFunc:ce};var tx=class{constructor(e,t){this.variableNames=["x"];let{windowSize:n,batchSize:o,inSize:s,outSize:a}=e;this.outputShape=[o,a];let i=Math.floor(n/4)*4,l=n%4,u="sumValue += dot(values, ones);";if(t!=null){let p=1/t;u=`sumValue += dot(values * ${y.isInt(p)?p.toPrecision(2):p}, ones);`}let c="";s%n>0&&(c=` + if (inIdx < 0 || inIdx >= ${s}) { + return 0.0; + } + `),this.userCode=` + const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0); + + float getValue(int batch, int inIdx) { + ${c} + return getX(batch, inIdx); + } + + void main() { + ivec2 coords = getOutputCoords(); + int batch = coords[0]; + int outIdx = coords[1]; + int inOffset = outIdx * ${n}; + + float sumValue = 0.0; + + for (int i = 0; i < ${i}; i += 4) { + int inIdx = inOffset + i; + vec4 values = vec4( + getValue(batch, inIdx), + getValue(batch, inIdx + 1), + getValue(batch, inIdx + 2), + getValue(batch, inIdx + 3) + ); + + ${u} + } + + int inIdx = inOffset + ${i}; + if (${l===1}) { + vec4 values = vec4(getValue(batch, inIdx), 0.0, 0.0, 0.0); + + ${u} + } else if (${l===2}) { + vec4 values = vec4( + getValue(batch, inIdx), + getValue(batch, inIdx + 1), 0.0, 0.0); + + ${u} + } else if (${l===3}) { + vec4 values = vec4( + getValue(batch, inIdx), + getValue(batch, inIdx + 1), + getValue(batch, inIdx + 2), 0.0); + + ${u} + } + setOutput(sumValue); + } + `}};var Hk=class{constructor(e,t){this.variableNames=["x"];let{windowSize:n,batchSize:o,inSize:s,outSize:a}=e;this.outputShape=[o,a];let i="0.0",l="";t==="prod"?i="1.0":t==="min"?(i="1.0 / 1e-20",l="min"):t==="max"&&(i="-1.0 / 1e-20",l="max");let u=`${t}(${t}(${t}(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])`;t==="sum"?u="sumValue":t==="prod"?u="prodValue":t==="all"?u="allValue":t==="any"&&(u="anyValue");let c=Math.floor(n/4)*4,p=n%4,m=` + if (${t==="sum"}) { + sumValue += dot(values, ones); + } else if (${t==="prod"}) { + vec2 tmp = vec2(values[0], values[1]) * vec2(values[2], values[3]); + prodValue *= tmp[0] * tmp[1]; + } else { + minMaxValue = ${l}(values, minMaxValue); + } + `,f="vec4";t==="all"?(i="1.0",m=` + bool reducedAllValue = all(values); + float floatedReducedAllValue = float(reducedAllValue); + allValue = float(allValue >= 1.0 && floatedReducedAllValue >= 1.0); + `,f="bvec4"):t==="any"&&(i="0.0",m=` + bool reducedAnyValue = any(values); + float floatedReducedAnyValue = float(reducedAnyValue); + anyValue = float(anyValue >= 1.0 || floatedReducedAnyValue >= 1.0); + `,f="bvec4");let d="";s%n>0&&(d=` + if (inIdx < 0 || inIdx >= ${s}) { + return initializationValue; + } + `),this.userCode=` + const float initializationValue = ${i}; + const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0); + + float getValue(int batch, int inIdx) { + ${d} + return getX(batch, inIdx); + } + + void main() { + ivec2 coords = getOutputCoords(); + int batch = coords[0]; + int outIdx = coords[1]; + int inOffset = outIdx * ${n}; + + vec4 minMaxValue = vec4(${i}); + float prodValue = 1.0; + float sumValue = 0.0; + float allValue = 1.0; + float anyValue = 0.0; + + for (int i = 0; i < ${c}; i += 4) { + int inIdx = inOffset + i; + ${f} values = ${f}( + getValue(batch, inIdx), + getValue(batch, inIdx + 1), + getValue(batch, inIdx + 2), + getValue(batch, inIdx + 3) + ); + + ${m} + } + + int inIdx = inOffset + ${c}; + if (${p===1}) { + ${f} values = ${f}( + getValue(batch, inIdx), + initializationValue, + initializationValue, + initializationValue + ); + + ${m} + } else if (${p===2}) { + ${f} values = ${f}( + getValue(batch, inIdx), + getValue(batch, inIdx + 1), + initializationValue, + initializationValue + ); + + ${m} + } else if (${p===3}) { + ${f} values = ${f}( + getValue(batch, inIdx), + getValue(batch, inIdx + 1), + getValue(batch, inIdx + 2), + initializationValue + ); + + ${m} + } + setOutput(${u}); + } + `}};function p8(r){let e=[];for(;e.length===0||e[e.length-1].outSize!==1;){let t=e.length?e[e.length-1].outSize:r[1],n=N.computeOptimalWindowSize(t);e.push({inSize:t,windowSize:n,outSize:Math.ceil(t/n)})}return e}function vn(r,e,t,n){let o=p8(r.shape),s=r;for(let a=0;a6)throw Error(`Transpose for rank ${e} is not yet supported`);let t=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u","resRC.v"],n=new Array(e);for(let o=0;o6)throw Error(`Packed transpose for rank ${this.rank} is not yet supported.`);let o=Le(this.rank),s=Fk("rc",this.rank),a=new Array(this.rank);for(let c=0;c=2&&c>=2&&w,()=>`Error in matMul: the input batch dimensions must either be the same or at least one input batch dimension must be 1. Got input batch dimensions of (${h}) and (${g}).`);let k=(x>b?r.shape.slice(0,-2):e.shape.slice(0,-2)).concat([f,d]);y.assert(p===m,()=>`Error in matMul: inner shapes (${p}) and (${m}) of Tensors with shapes ${r.shape} and ${e.shape} and transposeA=${t} and transposeB=${n} must match.`);let E=t?[x,p,f]:[x,f,p],S=n?[b,d,m]:[b,m,d],R=ce({inputs:{x:r},backend:o,attrs:{shape:E}}),F=ce({inputs:{x:e},backend:o,attrs:{shape:S}}),L=[R,F],G=Math.max(x,b),j=t?R.shape[1]:R.shape[2],U=s!=null,Y=a!=null,K=l==="leakyrelu",Z=l!=null?xl(l,!0):null,te=U||Y||K||Z!=null,X;if((f===1||d===1)&&j>Yk&&te===!1){let ie=R,se=F;t&&(ie=zt({inputs:{x:R},backend:o,attrs:{perm:[0,2,1]}}),L.push(ie)),n&&(se=zt({inputs:{x:F},backend:o,attrs:{perm:[0,2,1]}}),L.push(se));let pe=d!==1,ae=d===1,xe=ie;pe&&(xe=ce({inputs:{x:ie},backend:o,attrs:{shape:[G,j,1]}}),L.push(xe));let ge=d===1?2:1,we=se;ae&&(we=ce({inputs:{x:se},backend:o,attrs:{shape:[G,1,j]}}),L.push(we));let ke=qk({inputs:{a:xe,b:we},backend:o});X=$f({inputs:{x:ke},backend:o,attrs:{axis:ge,keepDims:!0}}),L.push(ke)}else{let ie=fr(r.dtype,e.dtype),se=new Df(E,S,[G,f,d],t,n,U,Z,Y,K),pe=[R,F];if(s!=null&&pe.push(s),Y&&pe.push(a),K){let ae=o.makeTensorInfo([],"float32",y.createScalarValue(i,"float32"));pe.push(ae),L.push(ae)}X=o.runWebGLProgram(se,pe,ie)}let re=ce({inputs:{x:X},backend:o,attrs:{shape:k}});L.push(X);for(let ie of L)o.disposeIntermediateTensorInfo(ie);return re}function f8(r){let{inputs:e,backend:t,attrs:n}=r,{a:o,b:s,bias:a,preluActivationWeights:i}=e,{transposeA:l,transposeB:u,activation:c,leakyreluAlpha:p}=n;return tc({a:o,b:s,transposeA:l,transposeB:u,backend:t,bias:a,preluActivationWeights:i,leakyreluAlpha:p,activation:c})}var g2={kernelName:ks,backendName:"webgl",kernelFunc:f8};var x2="return abs(x);";function d8(r){let{inputs:e,backend:t}=r,{x:n}=e;if(t.shouldExecuteOnCPU([n])&&n.dtype!=="complex64"){let s=t.texData.get(n.dataId),a=Yg(s.values);return t.makeTensorInfo(n.shape,n.dtype,a)}let o;return W().getBool("WEBGL_PACK_UNARY_OPERATIONS")?o=new Ps(n.shape,x2):o=new rn(n.shape,x2),t.runWebGLProgram(o,[n],n.dtype)}var y2={kernelName:us,backendName:"webgl",kernelFunc:d8};var h8=hr+` + if (abs(x) > 1.) { + return NAN; + } + return acos(x); +`,g8=ve({opSnippet:h8}),b2={kernelName:Xs,backendName:"webgl",kernelFunc:g8};var x8=hr+` + if (x < 1.0) return NAN; +return log(x + sqrt(x * x - 1.0));`,y8=ve({opSnippet:x8}),w2={kernelName:Ys,backendName:"webgl",kernelFunc:y8};var _2="return a + b;",b8=it({opSnippet:_2,packedOpSnippet:_2,supportsComplex:!0,cpuKernelImpl:bA}),k2={kernelName:xn,backendName:"webgl",kernelFunc:b8};var Zk=class{constructor(e,t){this.outputShape=[],this.outputShape=e,this.variableNames=t.map((s,a)=>`T${a}`);let n=[];this.variableNames.forEach(s=>{n.push(`float v${s} = get${s}AtOutCoords();`)});let o=this.variableNames.map(s=>`v${s}`).join(" + ");this.userCode=` + void main() { + ${n.join(` + `)} + + float result = ${o}; + setOutput(result); + } + `}};var Jk=class{constructor(e,t){this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.variableNames=t.map((s,a)=>`T${a}`);let n=[];this.variableNames.forEach(s=>{n.push(`vec4 v${s} = get${s}AtOutCoords();`)});let o=this.variableNames.map(s=>`v${s}`).join(" + ");this.userCode=` + void main() { + ${n.join(` + `)} + + vec4 result = ${o}; + setOutput(result); + } + `}};function rx(r){let{inputs:e,backend:t}=r,n=e;if(n.length===1)return Ut({inputs:{x:n[0]},backend:t});if(n.length>W().get("WEBGL_MAX_TEXTURES_IN_SHADER")){let l=Math.floor(n.length/2),u=rx({inputs:n.slice(0,l),backend:t}),c=rx({inputs:n.slice(l),backend:t});return rx({inputs:[u,c],backend:t})}let o=n.map(l=>l.dtype).reduce((l,u)=>fr(l,u)),s=n.map(l=>l.shape),i=W().getBool("WEBGL_PACK")?new Jk(n[0].shape,s):new Zk(n[0].shape,s);return t.runWebGLProgram(i,n,o)}var v2={kernelName:Hn,backendName:"webgl",kernelFunc:rx};function w8(r){let{inputs:e,backend:t,attrs:n}=r,{x:o}=e,{axis:s,keepDims:a}=n,i=o.shape.length,l=y.parseAxisParam(s,o.shape),u=l,c=N.getAxesPermutation(u,i),p=o;c!=null&&(p=zt({inputs:{x:o},backend:t,attrs:{perm:c}}),u=N.getInnerMostAxes(u.length,i)),N.assertAxesAreInnerMostDims("all",u,i);let[m,f]=N.computeOutAndReduceShapes(p.shape,u),d=y.sizeFromShape(f),h=ce({inputs:{x:p},backend:t,attrs:{shape:[-1,d]}}),g=vn(h,h.dtype,"all",t),x;if(a){let b=N.expandShapeToKeepDim(m,l);x=ce({inputs:{x:g},backend:t,attrs:{shape:b}})}else x=ce({inputs:{x:g},backend:t,attrs:{shape:m}});return t.disposeIntermediateTensorInfo(h),t.disposeIntermediateTensorInfo(g),c!=null&&t.disposeIntermediateTensorInfo(p),x}var C2={kernelName:Vl,backendName:"webgl",kernelFunc:w8};function _8(r){let{inputs:e,backend:t,attrs:n}=r,{x:o}=e,{axis:s,keepDims:a}=n,i=o.shape.length,l=y.parseAxisParam(s,o.shape),u=l,c=N.getAxesPermutation(u,i),p=o;c!=null&&(p=zt({inputs:{x:o},backend:t,attrs:{perm:c}}),u=N.getInnerMostAxes(u.length,i)),N.assertAxesAreInnerMostDims("any",u,i);let[m,f]=N.computeOutAndReduceShapes(p.shape,u),d=y.sizeFromShape(f),h=ce({inputs:{x:p},backend:t,attrs:{shape:[-1,d]}}),g=vn(h,h.dtype,"any",t),x;if(a){let b=N.expandShapeToKeepDim(m,l);x=ce({inputs:{x:g},backend:t,attrs:{shape:b}})}else x=ce({inputs:{x:g},backend:t,attrs:{shape:m}});return t.disposeIntermediateTensorInfo(h),t.disposeIntermediateTensorInfo(g),c!=null&&t.disposeIntermediateTensorInfo(p),x}var I2={kernelName:Gl,backendName:"webgl",kernelFunc:_8};var Qk=class{constructor(e,t,n){this.variableNames=["A"];let{windowSize:o,batchSize:s,outSize:a}=e;n||this.variableNames.push("bestIndicesA"),this.outputShape=[s,a];let i=t==="max"?">":"<",l=n?"inOffset + i;":"round(getBestIndicesA(batch, inOffset + i));";this.userCode=` + void main() { + ivec2 coords = getOutputCoords(); + int batch = coords[0]; + int outIdx = coords[1]; + int inOffset = outIdx * ${o}; + + int bestIndex = inOffset; + float bestValue = getA(batch, bestIndex); + + for (int i = 0; i < ${o}; i++) { + int inIdx = ${l}; + float candidate = getA(batch, inIdx); + if (candidate ${i} bestValue) { + bestValue = candidate; + bestIndex = inIdx; + } + } + setOutput(float(bestIndex)); + } + `}};var ev=class{constructor(e,t,n,o){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,y.assert(e.length>2,()=>`Packed arg${n.charAt(0).toUpperCase()+n.slice(1)} supports only inputs with rank above 2.`);let s=e[e.length-1],a=Math.ceil(s/t);this.outputShape=e.slice(0,-1),a>1&&this.outputShape.push(a),o||this.variableNames.push("bestIndicesA");let i=this.outputShape,l=i.length,u=Le(l),c=Wt("coords",l),p,m;if(a===1){m=l+1;let R=Le(m);p=` + ${R} sourceLocR = ${R}(${c.join()}, 0); + ++${c[l-1]}; + ${R} sourceLocG = ${R}(${c.join()}, 0); + ++${c[l-2]}; + ${R} sourceLocA = ${R}(${c.join()}, 0); + --${c[l-1]}; + ${R} sourceLocB = ${R}(${c.join()}, 0); + --${c[l-2]};`}else m=l,p=` + ${u} sourceLocR = coords; + ++${c[l-1]}; + ${u} sourceLocG = coords; + ++${c[l-2]}; + ${u} sourceLocA = coords; + --${c[l-1]}; + ${u} sourceLocB = coords; + --${c[l-2]};`;let f=["x","y","z","w","u","v"].slice(0,m),d="."+f[m-1],h=f.map(R=>"int "+R),g=Wt("sourceLocR",m-1).concat("inIdx.r"),x=Wt("sourceLocG",m-1).concat("inIdx.g"),b=Wt("sourceLocB",m-1).concat("inIdx.b"),w=Wt("sourceLocA",m-1).concat("inIdx.a"),_=n==="max"?"greaterThan":"lessThan",k=o?"":` + inIdx = round(vec4(getBestIndicesAChannel(${g.join()}), + getBestIndicesAChannel(${x.join()}), + getBestIndicesAChannel(${b.join()}), + getBestIndicesAChannel(${w.join()})));`,E=`vec4( + getAChannel(${g.join()}), + hasNextCol ? getAChannel(${x.join()}) : 0., + hasNextRow ? getAChannel(${b.join()}) : 0., + hasNextRow && hasNextCol ? getAChannel(${w.join()}) : 0.)`,S=o?"":` + float getBestIndicesAChannel(${h.join()}) { + return getChannel(getBestIndicesA(${f.join()}), + vec2(${f.slice(-2).join()})); + }`;this.userCode=` + float getAChannel(${h.join()}) { + return getChannel(getA(${f.join()}), + vec2(${f.slice(-2).join()})); + } + ${S} + void main() { + ${u} coords = getOutputCoords(); + bool hasNextCol = ${c[l-1]} < ${i[l-1]-1}; + bool hasNextRow = ${c[l-2]} < ${i[l-2]-1}; + ${p} + ivec4 srcIdx = ivec4(sourceLocR${d}, sourceLocG${d}, + sourceLocB${d}, sourceLocA${d}) * ${t}; + ivec4 inIdx = srcIdx; + vec4 bestIndex = vec4(inIdx); + vec4 bestValue = ${E}; + + for (int i = 0; i < ${t}; i++) { + inIdx = srcIdx; + ${k} + vec4 candidate = ${E}; + bvec4 nan = isnan(candidate); + bvec4 replace = bvec4( + vec4(${_}(candidate, bestValue)) * (vec4(1.0) - vec4(nan))); + + bestValue = vec4(replace.x ? candidate.x : bestValue.x, + replace.y ? candidate.y : bestValue.y, + replace.z ? candidate.z : bestValue.z, + replace.w ? candidate.w : bestValue.w); + bestIndex = mix(bestIndex, vec4(inIdx), vec4(replace)); + srcIdx++; + } + setOutput(bestIndex); + } + `}};function N2(r,e,t,n=null){let o=e.shape[0],s=e.shape[1];n!=null&&(o=n.shape[0],s=n.shape[1]);let a=N.computeOptimalWindowSize(s),i={windowSize:a,inSize:s,batchSize:o,outSize:Math.ceil(s/a)},l=new Qk(i,t,n==null),u=[e];n!=null&&u.push(n);let c=r.runWebGLProgram(l,u,"int32");if(c.shape[1]===1)return c;let p=N2(r,e,t,c);return r.disposeIntermediateTensorInfo(c),p}function S2(r,e,t,n=null){let o=n!=null?n.shape:e.shape,s=o[o.length-1],a=N.computeOptimalWindowSize(s),i=new ev(o,a,t,n==null),l=n==null?[e]:[e,n],u=r.runWebGLProgram(i,l,"int32");if(u.shape.length===e.shape.length){let c=S2(r,e,t,u);return r.disposeIntermediateTensorInfo(u),c}return u}function nx(r,e,t,n){let o=[t];if(N.assertAxesAreInnerMostDims("arg"+n.charAt(0).toUpperCase()+n.slice(1),o,e.shape.length),!W().getBool("WEBGL_PACK_REDUCE")||e.shape.length<=2){let s=[],[a,i]=N.computeOutAndReduceShapes(e.shape,o),l=y.sizeFromShape(i),u=ce({inputs:{x:e},backend:r,attrs:{shape:[-1,l]}});s.push(u);let c=N2(r,u,n);s.push(c);let p=ce({inputs:{x:c},backend:r,attrs:{shape:a}});return s.forEach(m=>r.disposeIntermediateTensorInfo(m)),p}return S2(r,e,n)}function k8(r){let{inputs:e,backend:t,attrs:n}=r,{x:o}=e,{axis:s}=n,a=y.parseAxisParam(s,o.shape),i=N.getAxesPermutation(a,o.shape.length),l=o,u=[];i!=null&&(l=zt({inputs:{x:o},backend:t,attrs:{perm:i}}),u.push(l),a=N.getInnerMostAxes(a.length,l.shape.length)),N.assertAxesAreInnerMostDims("argMax",[a[0]],l.shape.length);let c=nx(t,l,a[0],"max");return u.forEach(p=>t.disposeIntermediateTensorInfo(p)),c}var T2={kernelName:Kn,backendName:"webgl",kernelFunc:k8};function v8(r){let{inputs:e,backend:t,attrs:n}=r,{x:o}=e,{axis:s}=n,a=y.parseAxisParam(s,o.shape),i=N.getAxesPermutation(a,o.shape.length),l=o,u=[];i!=null&&(l=zt({inputs:{x:o},backend:t,attrs:{perm:i}}),u.push(l),a=N.getInnerMostAxes(a.length,l.shape.length)),N.assertAxesAreInnerMostDims("argMin",[a[0]],l.shape.length);let c=nx(t,l,a[0],"min");return u.forEach(p=>t.disposeIntermediateTensorInfo(p)),c}var E2={kernelName:na,backendName:"webgl",kernelFunc:v8};var C8=hr+` + if (abs(x) > 1.) { + return NAN; + } + return asin(x); +`,I8=ve({opSnippet:C8}),A2={kernelName:Zs,backendName:"webgl",kernelFunc:I8};var N8=hr+"return log(x + sqrt(x * x + 1.0));",S8=ve({opSnippet:N8}),D2={kernelName:Js,backendName:"webgl",kernelFunc:S8};var T8=hr+` + return atan(x); +`,E8=ve({opSnippet:T8}),$2={kernelName:Qs,backendName:"webgl",kernelFunc:E8};var A8=a2+` + return atan(a, b); +`,D8=` + vec4 result = atan(a, b); + vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0)); + `+l2+` + return result; +`,$8=it({opSnippet:A8,packedOpSnippet:D8}),R2={kernelName:ti,backendName:"webgl",kernelFunc:$8};var R8=hr+` + if ((x < -1.0) || (x > 1.0)) return NAN; +return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,F8=ve({opSnippet:R8}),F2={kernelName:ei,backendName:"webgl",kernelFunc:F8};var Wi=class{constructor(e,t,n,o=!1,s=!1){if(this.variableNames=["x"],t==="avg"&&n)throw new Error("Cannot compute positions for average pool.");let a=e.filterWidth,i=e.strideHeight,l=e.strideWidth,u=e.dilationHeight,c=e.dilationWidth,p=e.effectiveFilterHeight,m=e.effectiveFilterWidth,f=e.padInfo.top,d=e.padInfo.left;this.outputShape=e.outShape;let h=t==="avg",g=`((batch * ${e.inHeight} + xR) * ${e.inWidth} + xC) * ${e.inChannels} + d`,x=`(xR * ${e.inWidth} + xC) * ${e.inChannels} + d`,b="0.0";if(h||(b="-1.0 / 1e-20"),n){let R=">=";this.userCode=` + const ivec2 strides = ivec2(${i}, ${l}); + const ivec2 pads = ivec2(${f}, ${d}); + + void main() { + ivec4 coords = getOutputCoords(); + int batch = coords[0]; + int d = coords[3]; + + ivec2 xRCCorner = coords.yz * strides - pads; + int xRCorner = xRCCorner.x; + int xCCorner = xRCCorner.y; + + // max/min x(?, ?, d) to get y(yR, yC, d). + // ? = to be determined + float minMaxValue = 0.0; + float minMaxValueFound = 0.0; + int minMaxPosition = 0; + float avgValue = 0.0; + + for (int wR = 0; wR < ${p}; + wR += ${u}) { + int xR = xRCorner + wR; + + if (xR < 0 || xR >= ${e.inHeight}) { + continue; + } + + for (int wC = 0; wC < ${m}; + wC += ${c}) { + int xC = xCCorner + wC; + + if (xC < 0 || xC >= ${e.inWidth}) { + continue; + } + + float value = getX(batch, xR, xC, d); + + // If a min / max value has already been found, use it. If not, + // use the current value. + float currMinMaxValue = mix( + value, minMaxValue, minMaxValueFound); + if (value ${R} currMinMaxValue) { + minMaxValue = value; + minMaxValueFound = 1.0; + minMaxPosition = ${o?s?g:x:`wR * ${m} + wC`}; + } + } + } + setOutput(float(minMaxPosition)); + } + `;return}let w="max",_=`${t}(${t}(${t}(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])`;t==="avg"&&(_="avgValue / count");let k=Math.floor(a/4)*4,E=a%4,S=` + if (${h}) { + avgValue += dot(values, ones); + } else { + minMaxValue = ${w}(values, minMaxValue); + } + `;this.userCode=` + const ivec2 strides = ivec2(${i}, ${l}); + const ivec2 pads = ivec2(${f}, ${d}); + const float initializationValue = ${b}; + const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0); + + float count = 0.0; + + float getValue(int batch, int xR, int xC, int d) { + if (xC < 0 || xC >= ${e.inWidth}) { + return initializationValue; + } + count += 1.0; + return getX(batch, xR, xC, d); + } + + void main() { + ivec4 coords = getOutputCoords(); + int batch = coords[0]; + int d = coords[3]; + + ivec2 xRCCorner = coords.yz * strides - pads; + int xRCorner = xRCCorner.x; + int xCCorner = xRCCorner.y; + + // max/min x(?, ?, d) to get y(yR, yC, d). + // ? = to be determined + vec4 minMaxValue = vec4(${b}); + float avgValue = 0.0; + count = 0.0; + + for (int wR = 0; wR < ${p}; + wR += ${u}) { + int xR = xRCorner + wR; + + if (xR < 0 || xR >= ${e.inHeight}) { + continue; + } + + for (int wC = 0; wC < ${k}; wC += 4) { + int xC = xCCorner + wC * ${c}; + + vec4 values = vec4( + getValue(batch, xR, xC, d), + getValue(batch, xR, xC + ${c}, d), + getValue(batch, xR, xC + 2 * ${c}, d), + getValue(batch, xR, xC + 3 * ${c}, d) + ); + + ${S} + } + + int xC = xCCorner + ${k}; + if (${E===1}) { + vec4 values = vec4( + getValue(batch, xR, xC, d), + initializationValue, + initializationValue, + initializationValue + ); + + ${S} + } else if (${E===2}) { + vec4 values = vec4( + getValue(batch, xR, xC, d), + getValue(batch, xR, xC + ${c}, d), + initializationValue, + initializationValue + ); + + ${S} + } else if (${E===3}) { + vec4 values = vec4( + getValue(batch, xR, xC, d), + getValue(batch, xR, xC + ${c}, d), + getValue(batch, xR, xC + 2 * ${c}, d), + initializationValue + ); + + ${S} + } + } + setOutput(${_}); + } + `}},rc=class{constructor(e,t,n,o=!1,s=!1){if(this.variableNames=["x"],t==="avg"&&n)throw new Error("Cannot compute positions for average pool.");let a=e.filterWidth,i=e.strideDepth,l=e.strideHeight,u=e.strideWidth,c=e.dilationDepth,p=e.dilationHeight,m=e.dilationWidth,f=e.effectiveFilterDepth,d=e.effectiveFilterHeight,h=e.effectiveFilterWidth,g=e.padInfo.front,x=e.padInfo.top,b=e.padInfo.left;this.outputShape=e.outShape;let w=t==="avg",_="0.0";if(w||(_="-1.0 / 1e-20"),n){let L=">=";this.userCode=` + const ivec3 strides = + ivec3(${i}, ${l}, ${u}); + const ivec3 pads = ivec3(${g}, ${x}, ${b}); + + void main() { + ivec5 coords = getOutputCoords(); + int batch = coords.x; + int ch = coords.u; + + ivec3 xCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads; + int xDCorner = xCorner.x; + int xRCorner = xCorner.y; + int xCCorner = xCorner.z; + + // max/min x(?, ?, ?, ch) to get y(yD, yR, yC, ch). + // ? = to be determined + float minMaxValue = 0.0; + float minMaxValueFound = 0.0; + int minMaxPosition = 0; + + for (int wD = 0; wD < ${f}; + wD += ${c}) { + int xD = xDCorner + wD; + + if (xD < 0 || xD >= ${e.inDepth}) { + continue; + } + + for (int wR = 0; wR < ${d}; + wR += ${p}) { + int xR = xRCorner + wR; + + if (xR < 0 || xR >= ${e.inHeight}) { + continue; + } + + for (int wC = 0; wC < ${h}; + wC += ${m}) { + int xC = xCCorner + wC; + + if (xC < 0 || xC >= ${e.inWidth}) { + continue; + } + + float value = getX(batch, xD, xR, xC, ch); + + // If a min / max value has already been found, use it. If not, + // use the current value. + float currMinMaxValue = mix( + value, minMaxValue, minMaxValueFound); + if (value ${L} currMinMaxValue) { + minMaxValue = value; + minMaxValueFound = 1.0; + minMaxPosition = ${o?s?`(((batch * ${e.inDepth} + xD) * ${e.inHeight} + xR) * ${e.inWidth} + xC) * ${e.inChannels} + ch`:`((xD * ${e.inHeight} + xR) * ${e.inWidth} + xC) * ${e.inChannels} + ch`:`wD * ${d} * ${h} + + wR * ${h} + wC`}; + } + } + } + } + setOutput(float(minMaxPosition)); + } + `;return}let k="max",E=`${t}(${t}(${t}(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])`;t==="avg"&&(E="avgValue / count");let S=Math.floor(a/4)*4,R=a%4,F=` + if (${w}) { + avgValue += dot(values, ones); + } else { + minMaxValue = ${k}(values, minMaxValue); + } + `;this.userCode=` + const ivec3 strides = + ivec3(${i}, ${l}, ${u}); + const ivec3 pads = ivec3(${g}, ${x}, ${b}); + const float initializationValue = ${_}; + const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0); + + float count = 0.0; + + float getValue(int batch, int xD, int xR, int xC, int ch) { + if (xC < 0 || xC >= ${e.inWidth}) { + return initializationValue; + } + count += 1.0; + return getX(batch, xD, xR, xC, ch); + } + + void main() { + ivec5 coords = getOutputCoords(); + int batch = coords.x; + int ch = coords.u; + + ivec3 xCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads; + int xDCorner = xCorner.x; + int xRCorner = xCorner.y; + int xCCorner = xCorner.z; + + // max/min x(?, ?, ?, d) to get y(yD, yR, yC, ch). + // ? = to be determined + vec4 minMaxValue = vec4(${_}); + float avgValue = 0.0; + count = 0.0; + + for (int wD = 0; wD < ${f}; + wD += ${c}) { + int xD = xDCorner + wD; + + if (xD < 0 || xD >= ${e.inDepth}) { + continue; + } + + for (int wR = 0; wR < ${d}; + wR += ${p}) { + int xR = xRCorner + wR; + + if (xR < 0 || xR >= ${e.inHeight}) { + continue; + } + + for (int wC = 0; wC < ${S}; wC += 4) { + int xC = xCCorner + wC * ${m}; + + vec4 values = vec4( + getValue(batch, xD, xR, xC, ch), + getValue(batch, xD, xR, xC + ${m}, ch), + getValue(batch, xD, xR, xC + 2 * ${m}, ch), + getValue(batch, xD, xR, xC + 3 * ${m}, ch) + ); + + ${F} + } + + int xC = xCCorner + ${S}; + if (${R===1}) { + vec4 values = vec4( + getValue(batch, xD, xR, xC, ch), + initializationValue, + initializationValue, + initializationValue + ); + + ${F} + } else if (${R===2}) { + vec4 values = vec4( + getValue(batch, xD, xR, xC, ch), + getValue(batch, xD, xR, xC + ${m}, ch), + initializationValue, + initializationValue + ); + + ${F} + } else if (${R===3}) { + vec4 values = vec4( + getValue(batch, xD, xR, xC, ch), + getValue(batch, xD, xR, xC + ${m}, ch), + getValue(batch, xD, xR, xC + 2 * ${m}, ch), + initializationValue + ); + + ${F} + } + } + setOutput(${E}); + } + } + `}};function O8(r){let{inputs:e,backend:t,attrs:n}=r,{x:o}=e;Fs(o,"avgPool");let{filterSize:s,strides:a,pad:i,dimRoundingMode:l}=n,u=1;y.assert(N.eitherStridesOrDilationsAreOne(a,u),()=>`Error in avgPool: Either strides or dilations must be 1. Got strides ${a} and dilations '${u}'`);let c=N.computePool2DInfo(o.shape,s,a,u,i,l);if(c.filterWidth===1&&c.filterHeight===1&&y.arraysEqual(c.inShape,c.outShape))return Ut({inputs:{x:o},backend:t});let p=new Wi(c,"avg",!1);return t.runWebGLProgram(p,[o],"float32")}var O2={kernelName:Xn,backendName:"webgl",kernelFunc:O8};function P8(r){let{inputs:e,backend:t,attrs:n}=r,{x:o}=e,{filterSize:s,strides:a,pad:i,dimRoundingMode:l,dataFormat:u}=n,c=[1,1,1],p=N.computePool3DInfo(o.shape,s,a,c,i,l,u),m=new rc(p,"avg",!1);return t.runWebGLProgram(m,[o],"float32")}var P2={kernelName:oa,backendName:"webgl",kernelFunc:P8};var tv=class{constructor(e){this.variableNames=["dy"],this.outputShape=e.inShape;let t=e.filterHeight,n=e.filterWidth,o=e.strideHeight,s=e.strideWidth,a=e.dilationHeight,i=e.dilationWidth,l=e.effectiveFilterHeight,u=e.effectiveFilterWidth,c=l-1-e.padInfo.top,p=u-1-e.padInfo.left,m=1/(t*n);this.userCode=` + const ivec2 pads = ivec2(${c}, ${p}); + const float avgMultiplier = float(${m}); + + void main() { + ivec4 coords = getOutputCoords(); + int b = coords[0]; + int d = coords[3]; + + ivec2 dyRCCorner = coords.yz - pads; + int dyRCorner = dyRCCorner.x; + int dyCCorner = dyRCCorner.y; + + // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d). + // ? = to be determined. : = across all values in that axis. + float dotProd = 0.0; + for (int wR = 0; wR < ${l}; + wR += ${a}) { + float dyR = float(dyRCorner + wR) / ${o}.0; + + if (dyR < 0.0 || dyR >= ${e.outHeight}.0 || fract(dyR) > 0.0) { + continue; + } + int idyR = int(dyR); + + for (int wC = 0; wC < ${u}; + wC+= ${i}) { + float dyC = float(dyCCorner + wC) / ${s}.0; + + if (dyC < 0.0 || dyC >= ${e.outWidth}.0 || + fract(dyC) > 0.0) { + continue; + } + int idyC = int(dyC); + + float dyValue = getDy(b, idyR, idyC, d); + + dotProd += dyValue * avgMultiplier; + } + } + setOutput(dotProd); + } + `}},rv=class{constructor(e){this.variableNames=["dy"],this.outputShape=e.inShape;let t=e.filterDepth,n=e.filterHeight,o=e.filterWidth,s=e.strideDepth,a=e.strideHeight,i=e.strideWidth,l=e.dilationDepth,u=e.dilationHeight,c=e.dilationWidth,p=e.effectiveFilterDepth,m=e.effectiveFilterHeight,f=e.effectiveFilterWidth,d=p-1-e.padInfo.front,h=m-1-e.padInfo.top,g=f-1-e.padInfo.left,x=1/(t*n*o);this.userCode=` + const ivec3 pads = ivec3(${d}, ${h}, ${g}); + const float avgMultiplier = float(${x}); + + void main() { + ivec5 coords = getOutputCoords(); + int batch = coords.x; + int ch = coords.u; + + ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads; + int dyDCorner = dyCorner.x; + int dyRCorner = dyCorner.y; + int dyCCorner = dyCorner.z; + + // Convolve dy(?, ?, ?, d) with pos mask(:, :, :, ch) to get + // dx(xD, xR, xC, ch). + // ? = to be determined. : = across all values in that axis. + float dotProd = 0.0; + + for (int wD = 0; wD < ${p}; + wD += ${l}) { + float dyD = float(dyDCorner + wD) / ${s}.0; + + if (dyD < 0.0 || dyD >= ${e.outDepth}.0 || fract(dyD) > 0.0) { + continue; + } + int idyD = int(dyD); + + for (int wR = 0; wR < ${m}; + wR += ${u}) { + float dyR = float(dyRCorner + wR) / ${a}.0; + + if (dyR < 0.0 || dyR >= ${e.outHeight}.0 || + fract(dyR) > 0.0) { + continue; + } + int idyR = int(dyR); + + for (int wC = 0; wC < ${f}; + wC += ${c}) { + float dyC = float(dyCCorner + wC) / ${i}.0; + + if (dyC < 0.0 || dyC >= ${e.outWidth}.0 || + fract(dyC) > 0.0) { + continue; + } + int idyC = int(dyC); + + float dyValue = getDy(batch, idyD, idyR, idyC, ch); + + dotProd += dyValue * avgMultiplier; + } + } + } + setOutput(dotProd); + } + `}};function M8(r){let{inputs:e,backend:t,attrs:n}=r,{dy:o,input:s}=e,a=s,{filterSize:i,strides:l,pad:u,dimRoundingMode:c}=n,p=[1,1,1],m=N.computePool3DInfo(a.shape,i,l,p,u,c),f=new rv(m);return t.runWebGLProgram(f,[o],a.dtype)}var M2={kernelName:Wl,backendName:"webgl",kernelFunc:M8};function L8(r){let{inputs:e,backend:t,attrs:n}=r,{dy:o,input:s}=e,a=s;Fs([o,s],"avgPoolGrad");let{filterSize:i,strides:l,pad:u}=n,c=N.computePool2DInfo(a.shape,i,l,1,u),p=new tv(c);return t.runWebGLProgram(p,[o],a.dtype)}var L2={kernelName:jl,backendName:"webgl",kernelFunc:L8};function z8(r){let{inputs:e,backend:t,attrs:n}=r,{a:o,b:s}=e,{transposeA:a,transposeB:i}=n;return tc({a:o,b:s,transposeA:a,transposeB:i,backend:t})}var z2={kernelName:Yn,backendName:"webgl",kernelFunc:z8};var nv=class{constructor(e,t,n,o,s,a){this.outputShape=[],this.variableNames=["x","mean","variance"],N.assertAndGetBroadcastShape(e,t),N.assertAndGetBroadcastShape(e,n);let i="0.0";o!=null&&(N.assertAndGetBroadcastShape(e,o),this.variableNames.push("offset"),i="getOffsetAtOutCoords()");let l="1.0";s!=null&&(N.assertAndGetBroadcastShape(e,s),this.variableNames.push("scale"),l="getScaleAtOutCoords()"),this.outputShape=e,this.userCode=` + void main() { + float x = getXAtOutCoords(); + float mean = getMeanAtOutCoords(); + float variance = getVarianceAtOutCoords(); + float offset = ${i}; + float scale = ${l}; + float inv = scale * inversesqrt(variance + float(${a})); + setOutput(dot(vec3(x, -mean, offset), vec3(inv, inv, 1))); + } + `}};var ov=class{constructor(e,t,n,o,s,a){this.packedInputs=!0,this.packedOutput=!0,this.variableNames=["x","mean","variance"],N.assertAndGetBroadcastShape(e,t),N.assertAndGetBroadcastShape(e,n);let i="vec4(0.0)";o!=null&&(N.assertAndGetBroadcastShape(e,o),this.variableNames.push("offset"),i="getOffsetAtOutCoords()");let l="vec4(1.0)";s!=null&&(N.assertAndGetBroadcastShape(e,s),this.variableNames.push("scale"),l="getScaleAtOutCoords()"),this.outputShape=e,this.userCode=` + void main() { + vec4 offset = ${i}; + vec4 scale = ${l}; + + vec4 x = getXAtOutCoords(); + vec4 mean = getMeanAtOutCoords(); + vec4 variance = getVarianceAtOutCoords(); + + vec4 inv = scale * inversesqrt(variance + vec4(${a})); + + setOutput((x - mean) * inv + offset); + } + `}};var B8=({inputs:r,backend:e,attrs:t})=>{let{x:n,mean:o,variance:s,offset:a,scale:i}=r;y.assert(o.shape.length===s.shape.length,()=>"Batch normalization gradient requires mean and variance to have equal ranks."),y.assert(a==null||o.shape.length===a.shape.length,()=>"Batch normalization gradient requires mean and offset to have equal ranks."),y.assert(i==null||o.shape.length===i.shape.length,()=>"Batch normalization gradient requires mean and scale to have equal ranks.");let{varianceEpsilon:l}=t;l==null&&(l=.001);let u=[n,o,s],c=null;a!=null&&(c=a.shape,u.push(a));let p=null;i!=null&&(p=i.shape,u.push(i));let m=W().getBool("WEBGL_PACK_NORMALIZATION")?new ov(n.shape,o.shape,s.shape,c,p,l):new nv(n.shape,o.shape,s.shape,c,p,l);return e.runWebGLProgram(m,u,u[0].dtype)},B2={kernelName:ao,backendName:"webgl",kernelFunc:B8};var sv=class{constructor(e){this.variableNames=["source"],this.outputShape=e,this.rank=e.length;let t=Le(this.rank),n=`uniform int start[${this.rank}];`,o=V8(this.rank),s,a=e.map((i,l)=>`sourceLoc.${iv[l]} = start[${l}] + coords.${iv[l]};`);s=` + ${t} sourceLoc; + ${t} coords = getOutputCoords(); + ${a.join(` +`)} + `,this.userCode=` + ${n} + void main() { + ${s} + setOutput(getSource(${o})); + } + `}getCustomSetupFunc(e){if(e.length!==this.rank)throw Error(`The rank (${this.rank}) of the program must match the length of start (${e.length})`);return(t,n)=>{this.startLoc==null&&(this.startLoc=t.getUniformLocationNoThrow(n,"start"),this.startLoc==null)||t.gl.uniform1iv(this.startLoc,e)}}},iv=["x","y","z","w","u","v"];function V8(r){if(r===1)return"sourceLoc";if(r<=6)return iv.slice(0,r).map(e=>"sourceLoc."+e).join(",");throw Error(`Slicing for rank ${r} is not yet supported`)}var av=class{constructor(e){this.variableNames=["source"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.rank=e.length;let t=Le(this.rank),n=Wt("coords",this.rank),o=Wt("sourceLoc",this.rank),s=this.rank===1?"sourceLoc":`vec2(${o.slice(-2).join()})`,a=`getChannel(getSource(${o.join()}), ${s})`,i=` + result.x = ${a}; + if (++${n[this.rank-1]} < ${e[this.rank-1]}) { + ++${o[this.rank-1]}; + result.y = ${a}; + --${o[this.rank-1]}; + } + `,l=this.rank===1?"":` + --${n[this.rank-1]}; + if (++${n[this.rank-2]} < ${e[this.rank-2]}) { + ++${o[this.rank-2]}; + result.z = ${a}; + if (++${n[this.rank-1]} < ${e[this.rank-1]}) { + ++${o[this.rank-1]}; + result.w = ${a}; + } + } + `,u=this.rank<=4?`sourceLoc = coords + + ${t}(${e.map((c,p)=>`start[${p}]`).join()});`:e.map((c,p)=>`${o[p]} = ${n[p]} + start[${p}];`).join(` +`);this.userCode=` + uniform int start[${this.rank}]; + void main() { + ${t} coords = getOutputCoords(); + ${t} sourceLoc; + ${u} + vec4 result = vec4(0.); + ${i} + ${l} + setOutput(result); + } + `}getCustomSetupFunc(e){if(e.length!==this.rank)throw Error(`The rank (${this.rank}) of the program must match the length of start (${e.length})`);return(t,n)=>{this.startLoc==null&&(this.startLoc=t.getUniformLocationNoThrow(n,"start"),this.startLoc==null)||t.gl.uniform1iv(this.startLoc,e)}}};function G8(r,e,t,n){let o=n.texData.get(r.dataId),s=n.makeTensorInfo(t,r.dtype),a=n.texData.get(s.dataId);Object.assign(a,o),a.refCount=1,a.shape=t,a.dtype=r.dtype;let i=or.computeFlatOffset(e,y.computeStrides(r.shape));o.slice&&(i+=o.slice.flatOffset),a.slice={flatOffset:i,origDataId:o.slice&&o.slice.origDataId||r.dataId};let l=n.dataRefCount.get(a.slice.origDataId)||1;return n.dataRefCount.set(a.slice.origDataId,l+1),s}function Ba(r){let{inputs:e,backend:t,attrs:n}=r,{x:o}=e,{begin:s,size:a}=n,[i,l]=or.parseSliceParams(o,s,a);if(or.assertParamsValid(o,i,l),y.sizeFromShape(l)===0)return t.makeTensorInfo(l,o.dtype,[]);if(t.shouldExecuteOnCPU([o])||o.dtype==="string"){let p=t.texData.get(o.dataId),m=zA(p.values,i,l,o.shape,o.dtype);return t.makeTensorInfo(l,o.dtype,m)}let{isPacked:u}=t.texData.get(o.dataId),c=or.isSliceContinous(o.shape,i,l);if(u||!c){let p=W().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new av(l):new sv(l),m=p.getCustomSetupFunc(i);return t.runWebGLProgram(p,[o],o.dtype,m)}return t.uploadToGPU(o.dataId),G8(o,i,l,t)}var V2={kernelName:ys,backendName:"webgl",kernelFunc:Ba};var j8=r=>{let{inputs:e,backend:t,attrs:n}=r,{x:o}=e,{blockShape:s,crops:a}=n;y.assert(o.shape.length<=4,()=>"batchToSpaceND for rank > 4 with a WebGL backend not implemented yet");let i=s.reduce((b,w)=>b*w),l=N.getReshaped(o.shape,s,i),u=N.getPermuted(l.length,s.length),c=N.getReshapedPermuted(o.shape,s,i),p=N.getSliceBeginCoords(a,s.length),m=N.getSliceSize(c,a,s.length),f=[],d=ce({inputs:{x:o},backend:t,attrs:{shape:l}}),h=zt({inputs:{x:d},backend:t,attrs:{perm:u}}),g=ce({inputs:{x:h},backend:t,attrs:{shape:c}}),x=Ba({inputs:{x:g},backend:t,attrs:{begin:p,size:m}});return f.push(d),f.push(h),f.push(g),f.forEach(b=>t.disposeIntermediateTensorInfo(b)),x},G2={kernelName:sa,backendName:"webgl",kernelFunc:j8};function W8(r){let{inputs:e,backend:t,attrs:n}=r,{x:o,weights:s}=e,{size:a}=n,i=t.readSync(o.dataId),l=t.readSync(s.dataId),u=Xg(i,l,s.dtype,s.shape,a);return t.makeTensorInfo([a],s.dtype,u)}var j2={kernelName:Ul,backendName:"webgl",kernelFunc:W8};var U8="return float(a != b);",lv=it({opSnippet:U8,dtype:"bool"}),W2={kernelName:wi,backendName:"webgl",kernelFunc:lv};function Va(r){let{inputs:e,backend:t}=r,{input:n}=e,o=t.texData.get(n.dataId);return Ut({inputs:{x:o.complexTensorInfos.real},backend:t})}var U2={kernelName:cu,backendName:"webgl",kernelFunc:Va};var q8="return float(int(x));";function q2(r,e){let t=new rn(r.shape,q8),n=e.runWebGLProgram(t,[r],"int32");return{dataId:n.dataId,shape:n.shape,dtype:n.dtype}}function uv(r){let{inputs:e,backend:t,attrs:n}=r,{x:o}=e,{dtype:s}=n;if(s==="complex64"){if(o.dtype==="complex64")return Ut({inputs:{x:o},backend:t});let a=xt(o.shape),i=uv({inputs:{x:o},backend:t,attrs:{dtype:"float32"}}),l=nn({inputs:{real:i,imag:a},backend:t});return a.dispose(),t.disposeIntermediateTensorInfo(i),l}if(o.dtype==="complex64"){let a=Va({inputs:{input:o},backend:t}),i=uv({inputs:{x:a},backend:t,attrs:{dtype:s}});return t.disposeIntermediateTensorInfo(a),i}if(!y.hasEncodingLoss(o.dtype,s)){let a=Ut({inputs:{x:o},backend:t});return{dataId:a.dataId,shape:a.shape,dtype:s}}if(s==="int32")return q2(o,t);if(s==="bool"){let a=t.makeTensorInfo([],"bool",y.getTypedArrayFromDType("bool",1)),l=lv({inputs:{a:o,b:a},backend:t});return t.disposeIntermediateTensorInfo(a),l}throw new Error(`Error in Cast: failed to cast ${o.dtype} to ${s}`)}var H2={kernelName:An,backendName:"webgl",kernelFunc:uv};var K2="return ceil(x);",H8=ve({opSnippet:K2,packedOpSnippet:K2,cpuKernelImpl:_A}),X2={kernelName:Zn,backendName:"webgl",kernelFunc:H8};var cv=class{constructor(e){this.variableNames=["A"],this.outputShape=e,this.userCode=` + uniform float minVal; + uniform float maxVal; + + void main() { + float value = getAAtOutCoords(); + if (isnan(value)) { + setOutput(value); + return; + } + + setOutput(clamp(value, minVal, maxVal)); + } + `}getCustomSetupFunc(e,t){return(n,o)=>{this.minLoc==null&&(this.minLoc=n.getUniformLocationNoThrow(o,"minVal"),this.maxLoc=n.getUniformLocationNoThrow(o,"maxVal")),n.gl.uniform1f(this.minLoc,e),n.gl.uniform1f(this.maxLoc,t)}}};var pv=class{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.userCode=` + uniform float minVal; + uniform float maxVal; + + void main() { + vec4 value = getAAtOutCoords(); + + if (any(isnan(value))) { + setOutput(value); + return; + } + + setOutput(clamp(value, vec4(minVal), vec4(maxVal))); + } + `}getCustomSetupFunc(e,t){return(n,o)=>{this.minLoc==null&&(this.minLoc=n.getUniformLocationNoThrow(o,"minVal"),this.maxLoc=n.getUniformLocationNoThrow(o,"maxVal")),n.gl.uniform1f(this.minLoc,e),n.gl.uniform1f(this.maxLoc,t)}}};function K8(r){let{inputs:e,backend:t,attrs:n}=r,{x:o}=e,{clipValueMin:s,clipValueMax:a}=n,i;W().getBool("WEBGL_PACK_CLIP")?i=new pv(o.shape):i=new cv(o.shape);let l=i.getCustomSetupFunc(s,a);return t.runWebGLProgram(i,[o],o.dtype,l)}var Y2={kernelName:Dn,backendName:"webgl",kernelFunc:K8};var mv=class{constructor(e){this.variableNames=["real","imag"],this.outputShape=e,this.userCode=` + void main() { + float re = abs(getRealAtOutCoords()); + float im = abs(getImagAtOutCoords()); + float mx = max(re, im); + + // sadly the length function in glsl is not underflow-safe + // (at least not on Intel GPUs). So the safe solution is + // to ensure underflow-safety in all cases. + setOutput( + mx == 0.0 ? 0.0 : mx * length(vec2(1, min(re, im)/mx)) + ); + } + `}};function Z2(r,e){return{dataId:e.dataId,dtype:e.dtype,shape:r.shape}}function X8(r){let{inputs:e,backend:t}=r,{x:n}=e,o=t.texData.get(n.dataId),s=new mv(n.shape),a=[Z2(n,o.complexTensorInfos.real),Z2(n,o.complexTensorInfos.imag)];return t.runWebGLProgram(s,a,a[0].dtype)}var J2={kernelName:ia,backendName:"webgl",kernelFunc:X8};var fv=class{constructor(e){this.outputShape=[],this.outputShape=N.computeOutShape(e,1),this.variableNames=e.map((a,i)=>`T${i}`);let t=new Array(e.length-1);t[0]=e[0][1];for(let a=1;a`T${g}`);let l=new Array(e.length-1);l[0]=e[0][t];for(let h=1;h= ${l[h-1]}) { + return getChannel( + getT${h}(${ox(i,u,g)}), + vec2(${ox(c,u,g)})); + }`}let f=l.length,d=l[l.length-1];m+=` + return getChannel( + getT${f}(${ox(i,u,d)}), + vec2(${ox(c,u,d)}));`,this.userCode=` + float getValue(${i.map(h=>"int "+h)}) { + ${m} + } + + void main() { + ${s} coords = getOutputCoords(); + vec4 result = vec4(getValue(${a}), 0., 0., 0.); + + ${a[o-1]} = ${a[o-1]} + 1; + if (${a[o-1]} < ${n[o-1]}) { + result.g = getValue(${a}); + } + + ${a[o-2]} = ${a[o-2]} + 1; + if (${a[o-2]} < ${n[o-2]}) { + result.a = getValue(${a}); + } + + ${a[o-1]} = ${a[o-1]} - 1; + if (${a[o-2]} < ${n[o-2]} && + ${a[o-1]} < ${n[o-1]}) { + result.b = getValue(${a}); + } + setOutput(result); + } + `}};function ox(r,e,t){let n=r.indexOf(e);return r.map((s,a)=>a===n?`${s} - ${t}`:s).join()}function nc(r){let{inputs:e,backend:t}=r,{input:n}=e,o=t.texData.get(n.dataId);return Ut({inputs:{x:o.complexTensorInfos.imag},backend:t})}var Q2={kernelName:nu,backendName:"webgl",kernelFunc:nc};function oc(r,e,t){let n=r[0].dtype;if(n==="complex64"){let u=r.map(d=>Va({inputs:{input:d},backend:t})),c=r.map(d=>nc({inputs:{input:d},backend:t})),p=oc(u,e,t),m=oc(c,e,t),f=nn({inputs:{real:p,imag:m},backend:t});return u.forEach(d=>t.disposeIntermediateTensorInfo(d)),c.forEach(d=>t.disposeIntermediateTensorInfo(d)),t.disposeIntermediateTensorInfo(p),t.disposeIntermediateTensorInfo(m),f}if(n==="string"){let{tensors2D:u,outShape:c}=eD(r,e,t),p=u.map(g=>({vals:t.readSync(g.dataId),shape:g.shape})),m=u[0].shape[0]===1,f=kA(p,c,n,m),d=N.computeOutShape(r.map(g=>g.shape),e),h=t.makeTensorInfo(d,n,f);return u.forEach(g=>t.disposeIntermediateTensorInfo(g)),h}if(r.length>W().getNumber("WEBGL_MAX_TEXTURES_IN_SHADER")){let u=Math.floor(r.length/2),c=oc(r.slice(0,u),e,t),p=oc(r.slice(u),e,t),m=oc([c,p],e,t);return t.disposeIntermediateTensorInfo(c),t.disposeIntermediateTensorInfo(p),m}if(W().getBool("WEBGL_PACK_ARRAY_OPERATIONS")&&r[0].shape.length>1){let u=new dv(r.map(c=>c.shape),e);return t.runWebGLProgram(u,r,n)}let{tensors2D:o,outShape:s}=eD(r,e,t),a=new fv(o.map(u=>u.shape)),i=t.runWebGLProgram(a,o,n);o.forEach(u=>t.disposeIntermediateTensorInfo(u));let l=ce({inputs:{x:i},attrs:{shape:s},backend:t});return t.disposeIntermediateTensorInfo(i),l}function eD(r,e,t){let n=N.computeOutShape(r.map(s=>s.shape),e);return{tensors2D:r.map(s=>ce({inputs:{x:s},attrs:{shape:[-1,y.sizeFromShape(s.shape.slice(e))]},backend:t})),outShape:n}}function hv(r){let{inputs:e,backend:t,attrs:n}=r,{axis:o}=n,s=y.parseAxisParam(o,e[0].shape)[0],a=N.computeOutShape(e.map(u=>u.shape),s);if(y.sizeFromShape(a)===0)return t.makeTensorInfo(a,e[0].dtype,[]);let i=e.filter(u=>y.sizeFromShape(u.shape)>0);if(i.length===1)return Ut({inputs:{x:i[0]},backend:t});let l=i.map(u=>u.shape);return N.assertParamsConsistent(l,s),oc(i,s,t)}var tD={kernelName:cs,backendName:"webgl",kernelFunc:hv};var Rf=class{constructor(e,t=!1,n=null,o=!1,s=!1){this.variableNames=["x","W"],this.outputShape=e.outShape;let a=e.padInfo.top,i=e.padInfo.left,l=e.strideHeight,u=e.strideWidth,c=e.dilationHeight,p=e.dilationWidth,m=e.filterHeight,f=e.filterWidth,d=Math.floor(e.inChannels/4)*4,h=e.inChannels%4,g=e.dataFormat==="channelsLast",x=g?1:2,b=g?2:3,w=g?3:1,_="",k="";n&&(o?_=`float activation(float a) { + float b = getPreluActivationWeightsAtOutCoords(); + ${n} + }`:s?_=`float activation(float a) { + float b = getLeakyreluAlphaAtOutCoords(); + ${n} + }`:_=` + float activation(float x) { + ${n} + } + `,k="result = activation(result);");let E=t?"result += getBiasAtOutCoords();":"";t&&this.variableNames.push("bias"),o&&this.variableNames.push("preluActivationWeights"),s&&this.variableNames.push("leakyreluAlpha"),this.userCode=` + ${_} + + const ivec2 strides = ivec2(${l}, ${u}); + const ivec2 pads = ivec2(${a}, ${i}); + + void main() { + ivec4 coords = getOutputCoords(); + int batch = coords[0]; + int d2 = coords[${w}]; + + ivec2 xRCCorner = + ivec2(coords[${x}], coords[${b}]) * strides - pads; + int xRCorner = xRCCorner.x; + int xCCorner = xRCCorner.y; + + // Convolve x(?, ?, d1) with w(:, :, d1, d2) to get y(yR, yC, d2). + // ? = to be determined. : = across all values in that axis. + float dotProd = 0.0; + for (int wR = 0; wR < ${m}; wR++) { + int xR = xRCorner + wR * ${c}; + + if (xR < 0 || xR >= ${e.inHeight}) { + continue; + } + + for (int wC = 0; wC < ${f}; wC++) { + int xC = xCCorner + wC * ${p}; + + if (xC < 0 || xC >= ${e.inWidth}) { + continue; + } + + for (int d1 = 0; d1 < ${d}; d1 += 4) { + vec4 wValues = vec4( + getW(wR, wC, d1, d2), + getW(wR, wC, d1 + 1, d2), + getW(wR, wC, d1 + 2, d2), + getW(wR, wC, d1 + 3, d2) + ); + + if (${g}) { + vec4 xValues = vec4( + getX(batch, xR, xC, d1), + getX(batch, xR, xC, d1 + 1), + getX(batch, xR, xC, d1 + 2), + getX(batch, xR, xC, d1 + 3) + ); + dotProd += dot(xValues, wValues); + } else { + vec4 xValues = vec4( + getX(batch, d1, xR, xC), + getX(batch, d1 + 1, xR, xC), + getX(batch, d1 + 2, xR, xC), + getX(batch, d1 + 3, xR, xC) + ); + dotProd += dot(xValues, wValues); + } + } + + if (${h===1}) { + + if (${g}) { + dotProd += + getX(batch, xR, xC, ${d}) * + getW(wR, wC, ${d}, d2); + } else { + dotProd += + getX(batch, ${d}, xR, xC) * + getW(wR, wC, ${d}, d2); + } + + } else if (${h===2}) { + vec2 wValues = vec2( + getW(wR, wC, ${d}, d2), + getW(wR, wC, ${d} + 1, d2) + ); + + if (${g}) { + vec2 xValues = vec2( + getX(batch, xR, xC, ${d}), + getX(batch, xR, xC, ${d} + 1) + ); + dotProd += dot(xValues, wValues); + } else { + vec2 xValues = vec2( + getX(batch, ${d}, xR, xC), + getX(batch, ${d} + 1, xR, xC) + ); + dotProd += dot(xValues, wValues); + } + + } else if (${h===3}) { + vec3 wValues = vec3( + getW(wR, wC, ${d}, d2), + getW(wR, wC, ${d} + 1, d2), + getW(wR, wC, ${d} + 2, d2) + ); + + if (${g}) { + vec3 xValues = vec3( + getX(batch, xR, xC, ${d}), + getX(batch, xR, xC, ${d} + 1), + getX(batch, xR, xC, ${d} + 2) + ); + dotProd += dot(xValues, wValues); + } else { + vec3 xValues = vec3( + getX(batch, ${d}, xR, xC), + getX(batch, ${d} + 1, xR, xC), + getX(batch, ${d} + 2, xR, xC) + ); + dotProd += dot(xValues, wValues); + } + + } + } + } + + float result = dotProd; + ${E} + ${k} + setOutput(result); + } + `}},gv=class{constructor(e){this.variableNames=["x","W"],this.outputShape=e.outShape;let t=e.padInfo.front,n=e.padInfo.top,o=e.padInfo.left,s=e.strideDepth,a=e.strideHeight,i=e.strideWidth,l=e.dilationDepth,u=e.dilationHeight,c=e.dilationWidth,p=e.filterDepth,m=e.filterHeight,f=e.filterWidth,d=Math.floor(e.inChannels/4)*4,h=e.inChannels%4;this.userCode=` + const ivec3 strides = ivec3(${s}, ${a}, ${i}); + const ivec3 pads = ivec3(${t}, ${n}, ${o}); + + void main() { + ivec5 coords = getOutputCoords(); + int batch = coords.x; + int d2 = coords.u; + + ivec3 xFRCCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads; + int xFCorner = xFRCCorner.x; + int xRCorner = xFRCCorner.y; + int xCCorner = xFRCCorner.z; + + // Convolve x(?, ?, ?, d1) with w(:, :, :, d1, d2) to get + // y(yF, yR, yC, d2). ? = to be determined. : = across all + // values in that axis. + float dotProd = 0.0; + for (int wF = 0; wF < ${p}; wF++) { + int xF = xFCorner + wF * ${l}; + + if (xF < 0 || xF >= ${e.inDepth}) { + continue; + } + + for (int wR = 0; wR < ${m}; wR++) { + int xR = xRCorner + wR * ${u}; + + if (xR < 0 || xR >= ${e.inHeight}) { + continue; + } + + for (int wC = 0; wC < ${f}; wC++) { + int xC = xCCorner + wC * ${c}; + + if (xC < 0 || xC >= ${e.inWidth}) { + continue; + } + + for (int d1 = 0; d1 < ${d}; d1 += 4) { + vec4 xValues = vec4( + getX(batch, xF, xR, xC, d1), + getX(batch, xF, xR, xC, d1 + 1), + getX(batch, xF, xR, xC, d1 + 2), + getX(batch, xF, xR, xC, d1 + 3) + ); + vec4 wValues = vec4( + getW(wF, wR, wC, d1, d2), + getW(wF, wR, wC, d1 + 1, d2), + getW(wF, wR, wC, d1 + 2, d2), + getW(wF, wR, wC, d1 + 3, d2) + ); + + dotProd += dot(xValues, wValues); + } + + if (${h===1}) { + dotProd += + getX(batch, xF, xR, xC, ${d}) * + getW(wF, wR, wC, ${d}, d2); + } else if (${h===2}) { + vec2 xValues = vec2( + getX(batch, xF, xR, xC, ${d}), + getX(batch, xF, xR, xC, ${d} + 1) + ); + vec2 wValues = vec2( + getW(wF, wR, wC, ${d}, d2), + getW(wF, wR, wC, ${d} + 1, d2) + ); + dotProd += dot(xValues, wValues); + } else if (${h===3}) { + vec3 xValues = vec3( + getX(batch, xF, xR, xC, ${d}), + getX(batch, xF, xR, xC, ${d} + 1), + getX(batch, xF, xR, xC, ${d} + 2) + ); + vec3 wValues = vec3( + getW(wF, wR, wC, ${d}, d2), + getW(wF, wR, wC, ${d} + 1, d2), + getW(wF, wR, wC, ${d} + 2, d2) + ); + dotProd += dot(xValues, wValues); + } + } + } + } + setOutput(dotProd); + } + `}};var xv=class{constructor(e,t,n){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e;let{filterWidth:o,inChannels:s,strideWidth:a,strideHeight:i,padInfo:l,outWidth:u,dilationWidth:c,dilationHeight:p,dataFormat:m}=n,{left:f,top:d}=l,h=s*o,g=Pt(),x=m==="channelsLast",b=x?0:1,w=x?1:2,_="";for(let k=0;k<=1;k++)for(let E=0;E<=1;E++)_+=` + blockIndex = rc.y + ${E}; + pos = rc.x + ${k}; + + if(blockIndex < ${e[1]} && pos < ${e[0]}) { + offsetY = int(blockIndex / (${u})) * ${i} - ${d}; + d0 = offsetY + ${p} * (pos / ${h}); + + if(d0 < ${t[b]} && d0 >= 0) { + + offsetX = int(mod(float(blockIndex), ${u}.) * ${a}. - ${f}.); + d1 = offsetX + ${c} * (int(mod(float(pos), ${h}.) / ${s}.)); + + if(d1 < ${t[w]} && d1 >= 0) { + + ch = int(mod(float(pos), ${s}.)); + + if (${x}) { + innerDims = vec2(d1, ch); + result[${k*2+E}] = getChannel( + getA(d0, int(innerDims.x), + int(innerDims.y)), innerDims); + } else { + innerDims = vec2(d0, d1); + result[${k*2+E}] = getChannel( + getA(ch, int(innerDims.x), + int(innerDims.y)), innerDims); + } + } + } + } + `;this.userCode=` + void main() { + ivec2 rc = getOutputCoords(); + + vec4 result = vec4(0); + + int blockIndex, pos, offsetY, d0, offsetX, d1, ch; + vec2 innerDims; + + ${_} + + ${g.output} = result; + } + `}};function sx({x:r,filter:e,convInfo:t,backend:n,bias:o=null,preluActivationWeights:s=null,leakyreluAlpha:a=0,activation:i=null}){let l=r.shape,u=n.texData.get(r.dataId),c=t.inChannels,p=l[0]*l[1]*l[2],m=t.outChannels,f=t.dataFormat==="channelsLast",d=!1,h=!1,g,x=[],b=(p===1||m===1)&&c>Yk,w=l[2]%2!=0&&!!u.isPacked;if(b||!W().getBool("WEBGL_LAZILY_UNPACK")||!W().getBool("WEBGL_PACK_BINARY_OPERATIONS")||!w){let _=f?l[0]*l[1]*l[2]:l[0]*l[2]*l[3],k=ce({inputs:{x:r},backend:n,attrs:{shape:[1,_,t.inChannels]}}),E=ce({inputs:{x:e},backend:n,attrs:{shape:[1,t.inChannels,t.outChannels]}}),S=tc({a:k,b:E,transposeA:d,transposeB:h,backend:n,bias:o,activation:i,preluActivationWeights:s,leakyreluAlpha:a});g=ce({inputs:{x:S},backend:n,attrs:{shape:t.outShape}}),x.push(k),x.push(E),x.push(S)}else{let _=f?l[0]*l[1]*(l[2]+1):l[0]*l[2]*(l[3]+1),k={dataId:r.dataId,shape:[1,_,t.inChannels],dtype:r.dtype},E=u.shape;u.shape=u.shape.slice(),u.shape[u.shape.length-2]++,y.assert(hl(u.shape,k.shape),()=>`packed reshape ${u.shape} to ${k.shape} isn't free`);let S=ce({inputs:{x:e},backend:n,attrs:{shape:[1,t.inChannels,t.outChannels]}});x.push(S);let R=tc({a:k,b:S,backend:n,transposeA:d,transposeB:h,bias:o,activation:i,preluActivationWeights:s,leakyreluAlpha:a}),F=n.texData.get(R.dataId);y.assert(F.isPacked,()=>"batchMatMul result is expected to be packed"),u.shape=E,F.shape=t.outShape,g=Ut({inputs:{x:R},backend:n}),g.shape=t.outShape,x.push(R)}for(let _ of x)n.disposeIntermediateTensorInfo(_);return g}function ix({x:r,filter:e,convInfo:t,backend:n,bias:o=null,preluActivationWeights:s=null,leakyreluAlpha:a=0,activation:i=null}){let{filterWidth:l,filterHeight:u,inChannels:c,outWidth:p,outHeight:m,dataFormat:f}=t,d=f==="channelsLast",h=l*u*c,g=m*p,x=[h,g],b=!0,w=!1,_=[],k=ce({inputs:{x:r},backend:n,attrs:{shape:r.shape.slice(1)}}),E=ce({inputs:{x:e},backend:n,attrs:{shape:[1,h,y.sizeFromShape(e.shape)/h]}});_.push(k),_.push(E);let S=new xv(x,k.shape,t),R=n.runWebGLProgram(S,[k],"float32"),F=ce({inputs:{x:R},backend:n,attrs:{shape:[1,x[0],x[1]]}});_.push(R),_.push(F);let L=o!=null,G=s!=null,j=i==="leakyrelu",U=i?xl(i,!0):null,Y=new Df(F.shape,E.shape,[1,g,t.outChannels],b,w,L,U,G,j),K=[F,E];if(o&&K.push(o),G&&K.push(s),j){let re=n.makeTensorInfo([],"float32",y.createScalarValue(a,"float32"));K.push(re),_.push(re)}let Z=n.runWebGLProgram(Y,K,"float32"),te=d?[1,m,p,t.outChannels]:[1,t.outChannels,m,p],X=ce({inputs:{x:Z},backend:n,attrs:{shape:te}});_.push(Z);for(let re of _)n.disposeIntermediateTensorInfo(re);return X}function Y8(r){let{inputs:e,backend:t,attrs:n}=r,{x:o,filter:s}=e,{strides:a,pad:i,dataFormat:l,dilations:u,dimRoundingMode:c}=n,p=N.convertConv2DDataFormat(l),m=N.computeConv2DInfo(o.shape,s.shape,a,u,i,c,!1,p),f;if(m.filterHeight===1&&m.filterWidth===1&&m.dilationHeight===1&&m.dilationWidth===1&&m.strideHeight===1&&m.strideWidth===1&&(m.padInfo.type==="SAME"||m.padInfo.type==="VALID"))f=sx({x:o,filter:s,convInfo:m,backend:t});else if(W().getBool("WEBGL_CONV_IM2COL")&&o.shape[0]===1)f=ix({x:o,filter:s,convInfo:m,backend:t});else{let h=new Rf(m);f=t.runWebGLProgram(h,[o,s],"float32")}let d=ce({inputs:{x:f},backend:t,attrs:{shape:m.outShape}});return t.disposeIntermediateTensorInfo(f),d}var rD={kernelName:Jn,backendName:"webgl",kernelFunc:Y8};var yv=class{constructor(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;let t=e.strideHeight,n=e.strideWidth,o=e.padInfo.top,s=e.padInfo.left,a=e.dataFormat==="channelsLast";this.userCode=` + void main() { + ivec4 coords = getOutputCoords(); + int wR = coords.x; + int wC = coords.y; + int d1 = coords.z; + int d2 = coords.w; + + // Convolve x(?, ?, d1) with dy(:, :, d2) to get dw(wR, wC, d1, d2). + // ? = to be determined. : = across all values in that axis. + float dotProd = 0.0; + + for (int b = 0; b < ${e.batchSize}; b++) { + for (int yR = 0; yR < ${e.outHeight}; yR++) { + int xR = wR + yR * ${t} - ${o}; + + if (xR < 0 || xR >= ${e.inHeight}) { + continue; + } + + for (int yC = 0; yC < ${e.outWidth}; yC++) { + int xC = wC + yC * ${n} - ${s}; + + if (xC < 0 || xC >= ${e.inWidth}) { + continue; + } + + if (${a}) { + float dyValue = getDy(b, yR, yC, d2); + float xValue = getX(b, xR, xC, d1); + dotProd += (xValue * dyValue); + } else { + float dyValue = getDy(b, d2, yR, yC); + float xValue = getX(b, d1, xR, xC); + dotProd += (xValue * dyValue); + } + + } + } + } + setOutput(dotProd); + } + `}},bv=class{constructor(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;let t=e.filterHeight,n=e.filterWidth,o=e.strideHeight,s=e.strideWidth,a=e.dataFormat==="channelsLast",i=t-1-e.padInfo.top,l=n-1-e.padInfo.left,u=a?1:2,c=a?2:3,p=a?3:1;this.userCode=` + const ivec2 pads = ivec2(${i}, ${l}); + + void main() { + ivec4 coords = getOutputCoords(); + int batch = coords[0]; + int d1 = coords[${p}]; + + ivec2 dyCorner = ivec2(coords[${u}], coords[${c}]) - pads; + int dyRCorner = dyCorner.x; + int dyCCorner = dyCorner.y; + + // Convolve dy(?, ?, d2) with w(:, :, d1, d2) to compute dx(xR, xC, d1). + // ? = to be determined. : = across all values in that axis. + float dotProd = 0.0; + for (int wR = 0; wR < ${t}; wR++) { + float dyR = float(dyRCorner + wR) / ${o}.0; + + if (dyR < 0.0 || dyR >= ${e.outHeight}.0 || fract(dyR) > 0.0) { + continue; + } + int idyR = int(dyR); + + int wRPerm = ${t} - 1 - wR; + + for (int wC = 0; wC < ${n}; wC++) { + float dyC = float(dyCCorner + wC) / ${s}.0; + + if (dyC < 0.0 || dyC >= ${e.outWidth}.0 || + fract(dyC) > 0.0) { + continue; + } + int idyC = int(dyC); + + int wCPerm = ${n} - 1 - wC; + + for (int d2 = 0; d2 < ${e.outChannels}; d2++) { + + if (${a}) { + float xValue = getDy(batch, idyR, idyC, d2); + float wValue = getW(wRPerm, wCPerm, d1, d2); + dotProd += xValue * wValue; + } else { + float xValue = getDy(batch, d2, idyR, idyC); + float wValue = getW(wRPerm, wCPerm, d1, d2); + dotProd += xValue * wValue; + } + + } + } + } + setOutput(dotProd); + } + `}},wv=class{constructor(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;let t=e.strideDepth,n=e.strideHeight,o=e.strideWidth,s=e.padInfo.front,a=e.padInfo.top,i=e.padInfo.left;this.userCode=` + void main() { + ivec5 coords = getOutputCoords(); + int wF = coords.x; + int wR = coords.y; + int wC = coords.z; + int d1 = coords.w; + int d2 = coords.u; + + float dotProd = 0.0; + + for (int b = 0; b < ${e.batchSize}; b++) { + for (int yF = 0; yF < ${e.outDepth}; yF++) { + int xF = wF + yF * ${t} - ${s}; + + if (xF < 0 || xF >= ${e.inDepth}) { + continue; + } + + for (int yR = 0; yR < ${e.outHeight}; yR++) { + int xR = wR + yR * ${n} - ${a}; + + if (xR < 0 || xR >= ${e.inHeight}) { + continue; + } + + for (int yC = 0; yC < ${e.outWidth}; yC++) { + int xC = wC + yC * ${o} - ${i}; + + if (xC < 0 || xC >= ${e.inWidth}) { + continue; + } + + float dyValue = getDy(b, yF, yR, yC, d2); + float xValue = getX(b, xF, xR, xC, d1); + dotProd += (xValue * dyValue); + } + } + } + } + setOutput(dotProd); + } + `}},_v=class{constructor(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;let t=e.filterDepth,n=e.filterHeight,o=e.filterWidth,s=e.strideDepth,a=e.strideHeight,i=e.strideWidth,l=t-1-e.padInfo.front,u=n-1-e.padInfo.top,c=o-1-e.padInfo.left;this.userCode=` + const ivec3 pads = ivec3(${l}, ${u}, ${c}); + + void main() { + ivec5 coords = getOutputCoords(); + int batch = coords.x; + int d1 = coords.u; + + + ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads; + int dyFCorner = dyCorner.x; + int dyRCorner = dyCorner.y; + int dyCCorner = dyCorner.z; + + float dotProd = 0.0; + for (int wF = 0; wF < ${t}; wF++) { + float dyF = float(dyFCorner + wF) / ${s}.0; + + if (dyF < 0.0 || dyF >= ${e.outDepth}.0 || fract(dyF) > 0.0) { + continue; + } + int idyF = int(dyF); + + int wFPerm = ${t} - 1 - wF; + + for (int wR = 0; wR < ${n}; wR++) { + float dyR = float(dyRCorner + wR) / ${a}.0; + + if (dyR < 0.0 || dyR >= ${e.outHeight}.0 || + fract(dyR) > 0.0) { + continue; + } + int idyR = int(dyR); + + int wRPerm = ${n} - 1 - wR; + + for (int wC = 0; wC < ${o}; wC++) { + float dyC = float(dyCCorner + wC) / ${i}.0; + + if (dyC < 0.0 || dyC >= ${e.outWidth}.0 || + fract(dyC) > 0.0) { + continue; + } + int idyC = int(dyC); + + int wCPerm = ${o} - 1 - wC; + + for (int d2 = 0; d2 < ${e.outChannels}; d2++) { + float xValue = getDy(batch, idyF, idyR, idyC, d2); + float wValue = getW(wFPerm, wRPerm, wCPerm, d1, d2); + dotProd += xValue * wValue; + } + } + } + } + setOutput(dotProd); + } + `}};function Z8(r){let{inputs:e,backend:t,attrs:n}=r,{x:o,dy:s}=e,{strides:a,pad:i,dataFormat:l,dimRoundingMode:u,filterShape:c}=n,p=N.convertConv2DDataFormat(l),m=N.computeConv2DInfo(o.shape,c,a,1,i,u,!1,p),f=new yv(m);return t.runWebGLProgram(f,[o,s],"float32")}var nD={kernelName:Hl,backendName:"webgl",kernelFunc:Z8};function J8(r){let{inputs:e,backend:t,attrs:n}=r,{dy:o,filter:s}=e,{inputShape:a,strides:i,pad:l,dataFormat:u,dimRoundingMode:c}=n,p=N.convertConv2DDataFormat(u),m=N.computeConv2DInfo(a,s.shape,i,1,l,c,!1,p),f=new bv(m);return t.runWebGLProgram(f,[o,s],"float32")}var oD={kernelName:Qn,backendName:"webgl",kernelFunc:J8};function Q8(r){let{inputs:e,backend:t,attrs:n}=r,{x:o,filter:s}=e,{strides:a,pad:i,dilations:l}=n,u=N.computeConv3DInfo(o.shape,s.shape,a,l,i),c=new gv(u);return t.runWebGLProgram(c,[o,s],"float32")}var sD={kernelName:aa,backendName:"webgl",kernelFunc:Q8};function eX(r){let{inputs:e,backend:t,attrs:n}=r,{x:o,dy:s}=e,{strides:a,pad:i,filterShape:l}=n,u=N.computeConv3DInfo(o.shape,l,a,1,i),c=new wv(u);return t.runWebGLProgram(c,[o,s],"float32")}var iD={kernelName:Kl,backendName:"webgl",kernelFunc:eX};function tX(r){let{inputs:e,backend:t,attrs:n}=r,{dy:o,filter:s}=e,{pad:a,strides:i,inputShape:l}=n,u=N.computeConv3DInfo(l,s.shape,i,1,a),c=new _v(u);return t.runWebGLProgram(c,[o,s],"float32")}var aD={kernelName:Xl,backendName:"webgl",kernelFunc:tX};var rX=Qg+` + return cos(x); +`,nX=ve({opSnippet:rX}),lD={kernelName:eo,backendName:"webgl",kernelFunc:nX};var oX=` + float e2x = exp(-x); + return (e2x + 1.0 / e2x) / 2.0; +`,sX=ve({opSnippet:oX}),uD={kernelName:ri,backendName:"webgl",kernelFunc:sX};var kv=class{constructor(e,t,n,o,s){this.variableNames=["Image","Boxes","BoxInd"],this.outputShape=[];let[a,i,l,u]=e,[c]=t,[p,m]=n;this.outputShape=[c,p,m,u];let f=o==="bilinear"?1:0,[d,h]=[`${i-1}.0`,`${l-1}.0`],[g,x,b]=p>1?[`${(i-1)/(p-1)}`,"(y2-y1) * height_ratio",`y1*${d} + float(y)*(height_scale)`]:["0.0","0.0",`0.5 * (y1+y2) * ${d}`],[w,_,k]=m>1?[`${(l-1)/(m-1)}`,"(x2-x1) * width_ratio",`x1*${h} + float(x)*(width_scale)`]:["0.0","0.0",`0.5 * (x1+x2) * ${h}`];this.userCode=` + const float height_ratio = float(${g}); + const float width_ratio = float(${w}); + void main() { + ivec4 coords = getOutputCoords(); + int b = coords[0]; + int y = coords[1]; + int x = coords[2]; + int d = coords[3]; + + // get box vals + float y1 = getBoxes(b,0); + float x1 = getBoxes(b,1); + float y2 = getBoxes(b,2); + float x2 = getBoxes(b,3); + + // get image in batch index + int bInd = round(getBoxInd(b)); + if(bInd < 0 || bInd >= ${a}) { + return; + } + + float height_scale = ${x}; + float width_scale = ${_}; + + float in_y = ${b}; + if( in_y < 0.0 || in_y > ${d} ) { + setOutput(float(${s})); + return; + } + float in_x = ${k}; + if( in_x < 0.0 || in_x > ${h} ) { + setOutput(float(${s})); + return; + } + + vec2 sourceFracIndexCR = vec2(in_x,in_y); + if(${f} == 1) { + // Compute the four integer indices. + ivec2 sourceFloorCR = ivec2(sourceFracIndexCR); + ivec2 sourceCeilCR = ivec2(ceil(sourceFracIndexCR)); + + float topLeft = getImage(b, sourceFloorCR.y, sourceFloorCR.x, d); + float bottomLeft = getImage(b, sourceCeilCR.y, sourceFloorCR.x, d); + float topRight = getImage(b, sourceFloorCR.y, sourceCeilCR.x, d); + float bottomRight = getImage(b, sourceCeilCR.y, sourceCeilCR.x, d); + + vec2 fracCR = sourceFracIndexCR - vec2(sourceFloorCR); + + float top = topLeft + (topRight - topLeft) * fracCR.x; + float bottom = bottomLeft + (bottomRight - bottomLeft) * fracCR.x; + float newValue = top + (bottom - top) * fracCR.y; + setOutput(newValue); + } else { + // Compute the coordinators of nearest neighbor point. + ivec2 sourceNearestCR = ivec2(floor( + sourceFracIndexCR + vec2(0.5,0.5))); + float newValue = getImage(b, sourceNearestCR.y, sourceNearestCR.x, d); + setOutput(newValue); + } + } + `}};var iX=r=>{let{inputs:e,backend:t,attrs:n}=r,{image:o,boxes:s,boxInd:a}=e,{cropSize:i,method:l,extrapolationValue:u}=n,c=new kv(o.shape,s.shape,i,l,u);return t.runWebGLProgram(c,[o,s,a],"float32")},cD={kernelName:ni,backendName:"webgl",kernelFunc:iX};var ax=class{constructor(e,t,n){this.variableNames=["x"],this.outputShape=e;let o=e.length,s=t?"0.0":`getX(${pD(o,"coords")})`,a=e[e.length-1],i="",l="";t?(i=n?`end != ${a-1}`:"end != 0",l=n?"end + 1":"end - 1"):(i=n?`end + pow2 < ${a}`:"end >= pow2",l=n?"end + pow2":"end - pow2"),this.userCode=` + uniform float index; + void main() { + ${Le(o)} coords = getOutputCoords(); + int end = ${mD(o,"coords")}; + float val = ${s}; + int pow2 = int(pow(2.0, index)); + if (${i}) { + int idx = ${l}; + ${mD(o,"coords")} = idx; + val += getX(${pD(o,"coords")}); + } + setOutput(val); + } + `}getCustomSetupFunc(e){return(t,n)=>{this.index==null&&(this.index=t.getUniformLocation(n,"index")),t.gl.uniform1f(this.index,e)}}};function pD(r,e){if(r===1)return`${e}`;if(r===2)return`${e}.x, ${e}.y`;if(r===3)return`${e}.x, ${e}.y, ${e}.z`;if(r===4)return`${e}.x, ${e}.y, ${e}.z, ${e}.w`;throw Error(`Cumulative sum for rank ${r} is not yet supported`)}function mD(r,e){if(r===1)return`${e}`;if(r===2)return`${e}.y`;if(r===3)return`${e}.z`;if(r===4)return`${e}.w`;throw Error(`Cumulative sum for rank ${r} is not yet supported`)}function aX(r){let{inputs:e,backend:t,attrs:n}=r,{x:o}=e,{axis:s,exclusive:a,reverse:i}=n,l=o.shape.length,u=N.getAxesPermutation([s],l),c=o;u!=null&&(c=zt({inputs:{x:o},backend:t,attrs:{perm:u}}));let p=N.getInnerMostAxes(1,l)[0];if(p!==l-1)throw new Error(`WebGL cumsum shader expects an inner-most axis=${o.shape.length-1} but got axis=${s}`);let m=c.shape[p],f=Ut({inputs:{x:c},backend:t});for(let d=0;d<=Math.ceil(Math.log2(m))-1;d++){let h=new ax(c.shape,!1,i),g=h.getCustomSetupFunc(d),x=f;f=t.runWebGLProgram(h,[f],f.dtype,g),t.disposeIntermediateTensorInfo(x)}if(a){let d=new ax(c.shape,a,i),h=f;f=t.runWebGLProgram(d,[f],f.dtype),t.disposeIntermediateTensorInfo(h)}if(u!=null){let d=N.getUndoAxesPermutation(u),h=zt({inputs:{x:f},backend:t,attrs:{perm:d}});return t.disposeIntermediateTensorInfo(f),t.disposeIntermediateTensorInfo(c),h}return f}var fD={kernelName:to,backendName:"webgl",kernelFunc:aX};function lX(r){let{inputs:e,backend:t,attrs:n}=r,{x:o,weights:s}=e,{size:a,binaryOutput:i}=n;if(o.shape.length===1){let l=t.readSync(o.dataId),u=t.readSync(s.dataId),c=Xg(l,u,s.dtype,s.shape,a);return t.makeTensorInfo([a],s.dtype,c)}else if(o.shape.length===2){let l=t.bufferSync(o),u=t.bufferSync(s),c=wA(l,u,a,i);return t.makeTensorInfo(c.shape,s.dtype,c.values)}throw new Error(`Error in denseBincount: input must be at most rank 2, but got rank${o.shape.length}.`)}var dD={kernelName:Yl,backendName:"webgl",kernelFunc:lX};var vv=class{constructor(e,t,n){this.variableNames=["x"],this.outputShape=[],this.outputShape=e,this.blockSize=t,this.dataFormat=n,this.userCode=` + void main() { + ivec4 coords = getOutputCoords(); + int b = coords[0]; + int h = ${this.getHeightCoordString()}; + int w = ${this.getWidthCoordString()}; + int d = ${this.getDepthCoordString()}; + + int in_h = h / ${t}; + int offset_h = imod(h, ${t}); + int in_w = w / ${t}; + int offset_w = imod(w, ${t}); + int offset_d = (offset_h * ${t} + offset_w) * + ${this.getOutputDepthSize()}; + int in_d = d + offset_d; + + float result = ${this.getInputSamplingString()}; + setOutput(result); + } + `}getHeightCoordString(){return this.dataFormat==="NHWC"?"coords[1]":"coords[2]"}getWidthCoordString(){return this.dataFormat==="NHWC"?"coords[2]":"coords[3]"}getDepthCoordString(){return this.dataFormat==="NHWC"?"coords[3]":"coords[1]"}getOutputDepthSize(){return this.dataFormat==="NHWC"?this.outputShape[3]:this.outputShape[1]}getInputSamplingString(){return this.dataFormat==="NHWC"?"getX(b, in_h, in_w, in_d)":"getX(b, in_d, in_h, in_w)"}};function uX(r){let{inputs:e,backend:t,attrs:n}=r,{x:o}=e,{blockSize:s,dataFormat:a}=n;y.assert(s>1,()=>`blockSize should be > 1 for depthToSpace, but was: ${s}`);let i=o.shape[0],l=a==="NHWC"?o.shape[1]:o.shape[2],u=a==="NHWC"?o.shape[2]:o.shape[3],c=a==="NHWC"?o.shape[3]:o.shape[1],p=l*s,m=u*s,f=c/(s*s),d=a==="NHWC"?[i,p,m,f]:[i,f,p,m],h=new vv(d,s,a);return t.runWebGLProgram(h,[o],o.dtype)}var hD={kernelName:oi,backendName:"webgl",kernelFunc:uX};var Ff=class{constructor(e,t=!1,n=null,o=!1,s=!1){this.variableNames=["x","W"],this.outputShape=e.outShape;let a=e.inHeight,i=e.inWidth,l=e.padInfo.top,u=e.padInfo.left,c=e.strideHeight,p=e.strideWidth,m=e.dilationHeight,f=e.dilationWidth,d=e.filterHeight,h=e.filterWidth,g=e.outChannels/e.inChannels,x="",b="";n&&(o?x=`float activation(float a) { + float b = getPreluActivationWeightsAtOutCoords(); + ${n} + }`:s?x=`float activation(float a) { + float b = getLeakyreluAlphaAtOutCoords(); + ${n} + }`:x=` + float activation(float x) { + ${n} + } + `,b="result = activation(result);");let w=t?"result += getBiasAtOutCoords();":"";t&&this.variableNames.push("bias"),o&&this.variableNames.push("preluActivationWeights"),s&&this.variableNames.push("leakyreluAlpha"),this.userCode=` + ${x} + + const ivec2 strides = ivec2(${c}, ${p}); + const ivec2 pads = ivec2(${l}, ${u}); + + void main() { + ivec4 coords = getOutputCoords(); + int batch = coords.x; + ivec2 xRCCorner = coords.yz * strides - pads; + int d2 = coords.w; + int d1 = d2 / ${g}; + int q = d2 - d1 * ${g}; + + int xRCorner = xRCCorner.x; + int xCCorner = xRCCorner.y; + + // Convolve x(?, ?, d1) with w(:, :, d1, q) to get y(yR, yC, d2). + // ? = to be determined. : = across all values in that axis. + float dotProd = 0.0; + // TO DO(dsmilkov): Flatten the two for loops and vec4 the operations. + for (int wR = 0; wR < ${d}; wR++) { + int xR = xRCorner + wR * ${m}; + + if (xR < 0 || xR >= ${a}) { + continue; + } + + for (int wC = 0; wC < ${h}; wC++) { + int xC = xCCorner + wC * ${f}; + + if (xC < 0 || xC >= ${i}) { + continue; + } + + float xVal = getX(batch, xR, xC, d1); + float wVal = getW(wR, wC, d1, q); + dotProd += xVal * wVal; + } + } + + float result = dotProd; + ${w} + ${b} + setOutput(result); + } + `}};var Of=class{constructor(e,t=!1,n=null,o=!1,s=!1){this.variableNames=["x","W"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e.outShape;let a=e.inHeight,i=e.inWidth,l=e.padInfo.top,u=e.padInfo.left,c=e.strideHeight,p=e.strideWidth,m=e.dilationHeight,f=e.dilationWidth,d=e.filterHeight,h=e.filterWidth,g=h,x="int xR; int xC; int xCOffset;";for(let k=0;k= 0 && xR < ${a} && xCOffset >= 0 && xCOffset < ${i}) { + xTexelR${k}C${S} = getX(batch, xR, xCOffset, d1); + + // Need to manually clear unused channels in case + // we're reading from recycled texture. + if(xCOffset + 1 >= ${i}) { + xTexelR${k}C${S}.zw = vec2(0.); + } + } else { + xTexelR${k}C${S} = vec4(0.); + } + + xCOffset = xC + 1 - 2; + if(xR >= 0 && xR < ${a} && xCOffset >= 0 && xCOffset < ${i}) { + vec4 previous = getX(batch, xR, xCOffset, d1); + + // Need to manually clear unused channels in case + // we're reading from recycled texture. + if(xCOffset + 1 >= ${i}) { + previous.zw = vec2(0.); + } + + xR${k}C${S} = vec4(previous.zw, xTexelR${k}C${S}.xy); + } else { + xR${k}C${S} = vec4(0, 0, xTexelR${k}C${S}.xy); + } + `:x+=` + if(xR >= 0 && xR < ${a} && xC >= 0 && xC < ${i}) { + xTexelR${k}C${S} = getX(batch, xR, xC, d1); + } else { + xTexelR${k}C${S} = vec4(0.); + } + + xR${k}C${S} = xTexelR${k}C${S}; + `,S+1= 0 && xR < ${a} && + xCOffset >= 0 && xCOffset < ${i}) { + xTexelR${k}C${S+2} = getX(batch, xR, xCOffset, d1); + } + `,f>1&&(x+=` + xCOffset -= 2; + if(xR >= 0 && xR < ${a} && + xCOffset >= 0 && xCOffset < ${i}) { + xTexelR${k}C${S} = getX(batch, xR, xCOffset, d1); + } else { + xTexelR${k}C${S} = vec4(0.); + } + `),x+=` + xR${k}C${S+1} = vec4( + xTexelR${k}C${S}.zw, xTexelR${k}C${S+2}.xy); + `):x+=` + xCOffset = xC + ${R}; + + if(xR >= 0 && xR < ${a} && + xCOffset >= 0 && xCOffset < ${i}) { + xTexelR${k}C${S+2} = getX(batch, xR, xCOffset, d1); + } + + xR${k}C${S+1} = xTexelR${k}C${S+2}; + `}}else S= 0 && xR < ${a}) { + `,u%2==1?(x+=` + xCOffset = xC + 1 - ${p}; + if(xCOffset >= 0 && xCOffset < ${i}) { + xTexelR${k}C${S} = getX(batch, xR, xCOffset, d1); + } else { + xTexelR${k}C${S} = vec4(0.); + } + + if(xC + 1 >= 0 && xC + 1 < ${i}) { + xTexelR${k}C${S+2} = getX(batch, xR, xC + 1, d1); + } else { + xTexelR${k}C${S+2} = vec4(0.); + } + + xR${k}C${S} = vec4( + xTexelR${k}C${S}.zw, xTexelR${k}C${S+2}.zw); + `,S+1= 0 && xCOffset < ${i}) { + final = getX(batch, xR, xCOffset, d1); + } + xR${k}C${S+1} = vec4(xTexelR${k}C${S+2}.xy, final.xy); + `)):(x+=` + if(xC >= 0 && xC < ${i}) { + xTexelR${k}C${S} = getX(batch, xR, xC, d1); + } else { + xTexelR${k}C${S} = vec4(0.); + } + + xCOffset = xC + ${p}; + if(xCOffset >= 0 && xCOffset < ${i}) { + xTexelR${k}C${S+2} = getX(batch, xR, xCOffset, d1); + } else { + xTexelR${k}C${S+2} = vec4(0.); + } + + xR${k}C${S} = vec4( + xTexelR${k}C${S}.xy, xTexelR${k}C${S+2}.xy); + `,S+1`Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides ${a} and dilations '${c}'`);let p=N.computeConv2DInfo(o.shape,s.shape,a,c,i,u,!0),m;return W().getBool("WEBGL_PACK_DEPTHWISECONV")&&p.strideWidth<=2&&p.outChannels/p.inChannels==1?m=new Of(p):m=new Ff(p),t.runWebGLProgram(m,[o,s],"float32")}var gD={kernelName:ro,backendName:"webgl",kernelFunc:cX};var Cv=class{constructor(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;let t=e.strideHeight,n=e.strideWidth,o=e.padInfo.top,s=e.padInfo.left,a=e.outChannels/e.inChannels;this.userCode=` + void main() { + ivec4 coords = getOutputCoords(); + int wR = coords.x; + int wC = coords.y; + int d1 = coords.z; + int dm = coords.w; + int d2 = d1 * ${a} + dm; + + float dotProd = 0.0; + + // TO DO: Vec4 over the batch size + for (int b = 0; b < ${e.batchSize}; b++) { + for (int yR = 0; yR < ${e.outHeight}; yR++) { + int xR = wR + yR * ${t} - ${o}; + + if (xR < 0 || xR >= ${e.inHeight}) { + continue; + } + + for (int yC = 0; yC < ${e.outWidth}; yC++) { + int xC = wC + yC * ${n} - ${s}; + + if (xC < 0 || xC >= ${e.inWidth}) { + continue; + } + + float dyValue = getDy(b, yR, yC, d2); + float xValue = getX(b, xR, xC, d1); + dotProd += (xValue * dyValue); + } + } + } + setOutput(dotProd); + } + `}},Iv=class{constructor(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;let t=e.filterHeight,n=e.filterWidth,o=e.strideHeight,s=e.strideWidth,a=t-1-e.padInfo.top,i=n-1-e.padInfo.left,l=e.outChannels/e.inChannels;this.userCode=` + const ivec2 pads = ivec2(${a}, ${i}); + + void main() { + ivec4 coords = getOutputCoords(); + int batch = coords[0]; + int d1 = coords[3]; + ivec2 dyCorner = coords.yz - pads; + int dyRCorner = dyCorner.x; + int dyCCorner = dyCorner.y; + + float dotProd = 0.0; + + for (int wR = 0; wR < ${t}; wR++) { + float dyR = float(dyRCorner + wR) / ${o}.0; + + if (dyR < 0.0 || dyR >= ${e.outHeight}.0 || fract(dyR) > 0.0) { + continue; + } + int idyR = int(dyR); + + int wRPerm = ${t} - 1 - wR; + + for (int wC = 0; wC < ${n}; wC++) { + float dyC = float(dyCCorner + wC) / ${s}.0; + + if (dyC < 0.0 || dyC >= ${e.outWidth}.0 || + fract(dyC) > 0.0) { + continue; + } + int idyC = int(dyC); + + int wCPerm = ${n} - 1 - wC; + + // TO DO: Vec4 over the channelMul + for (int dm = 0; dm < ${l}; dm++) { + int d2 = d1 * ${l} + dm; + float xValue = getDy(batch, idyR, idyC, d2); + float wValue = getW(wRPerm, wCPerm, d1, dm); + dotProd += xValue * wValue; + } + } + } + setOutput(dotProd); + } + `}};function pX(r){let{inputs:e,backend:t,attrs:n}=r,{x:o,dy:s}=e,{strides:a,dilations:i,pad:l,dimRoundingMode:u,filterShape:c}=n,p=N.computeConv2DInfo(o.shape,c,a,i,l,u,!0),m=new Cv(p);return t.runWebGLProgram(m,[o,s],"float32")}var xD={kernelName:Zl,backendName:"webgl",kernelFunc:pX};function mX(r){let{inputs:e,backend:t,attrs:n}=r,{dy:o,filter:s}=e,{strides:a,dilations:i,pad:l,dimRoundingMode:u,inputShape:c}=n,p=N.computeConv2DInfo(c,s.shape,a,i,l,u,!0),m=new Iv(p);return t.runWebGLProgram(m,[o,s],"float32")}var yD={kernelName:Jl,backendName:"webgl",kernelFunc:mX};var Nv=class{constructor(e){this.variableNames=["X"],this.outputShape=[e,e],this.userCode=` + void main() { + ivec2 coords = getOutputCoords(); + float val = coords[0] == coords[1] ? getX(coords[0]) : 0.0; + setOutput(val); + } + `}};function fX(r){let{inputs:e,backend:t}=r,{x:n}=e,o=[...n.shape,...n.shape],s=y.sizeFromShape(n.shape),a=ce({inputs:{x:n},backend:t,attrs:{shape:[s]}}),i=new Nv(s),l=t.runWebGLProgram(i,[a],a.dtype),u=ce({inputs:{x:l},backend:t,attrs:{shape:o}});return t.disposeIntermediateTensorInfo(a),t.disposeIntermediateTensorInfo(l),u}var bD={kernelName:Ql,backendName:"webgl",kernelFunc:fX};var Sv=class{constructor(e){this.variableNames=["x","W"],this.outputShape=e.outShape;let{inHeight:t,inWidth:n,padInfo:o,strideHeight:s,strideWidth:a,filterHeight:i,filterWidth:l,dilationHeight:u,dilationWidth:c}=e,{top:p,left:m}=o;this.userCode=` + const ivec2 strides = ivec2(${s}, ${a}); + const ivec2 pads = ivec2(${p}, ${m}); + const float neg_infinity = -3.4e38; + + void main() { + ivec4 coords = getOutputCoords(); + int batch = coords.x; + int d1 = coords.w; + ivec2 outTopLeftCorner = + coords.yz * strides - pads; + int hBeg = outTopLeftCorner.x; + int wBeg = outTopLeftCorner.y; + + float curVal = neg_infinity; + for (int h = 0; h < ${i}; h++) { + int hIn = hBeg + h * ${u}; + + if (hIn >= 0 && hIn < ${t}) { + for (int w = 0; w < ${l}; w++) { + int wIn = wBeg + w * ${c}; + + if (wIn >= 0 && wIn < ${n}) { + float xVal = getX(batch, hIn, wIn, d1); + float wVal = getW(h, w, d1); + + float val = xVal + wVal; + if (val > curVal) { + curVal = val; + } + } + } + } + } + + float result = curVal; + setOutput(result); + } + `}};function dX(r){let{inputs:e,backend:t,attrs:n}=r,{x:o,filter:s}=e,{strides:a,pad:i,dilations:l}=n,u=N.computeDilation2DInfo(o.shape,s.shape,a,i,"NHWC",l),c,p=new Sv(u);c=t.runWebGLProgram(p,[o,s],"float32");let m=ce({inputs:{x:c},backend:t,attrs:{shape:u.outShape}});return t.disposeIntermediateTensorInfo(c),m}var wD={kernelName:la,backendName:"webgl",kernelFunc:dX};var hX="return (x >= 0.0) ? x : (exp(x) - 1.0);",gX=` + vec4 result; + + result.r = (x.r >= 0.0) ? x.r : (exp(x.r) - 1.0); + result.g = (x.g >= 0.0) ? x.g : (exp(x.g) - 1.0); + result.b = (x.b >= 0.0) ? x.b : (exp(x.b) - 1.0); + result.a = (x.a >= 0.0) ? x.a : (exp(x.a) - 1.0); + + return result; +`,xX=ve({opSnippet:hX,packedOpSnippet:gX}),_D={kernelName:si,backendName:"webgl",kernelFunc:xX};var yX="return (b >= 1.0) ? a : a * (b + 1.0);",bX=` + vec4 bGTEZero = vec4(greaterThanEqual(b, vec4(0.))); + return (bGTEZero * a) + ((vec4(1.0) - bGTEZero) * (a * (b + vec4(1.0)))); +`,wX=r=>{let{inputs:e,backend:t}=r,{dy:n,y:o}=e,s=W().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Ms(bX,n.shape,o.shape):new Yo(yX,n.shape,o.shape);return t.runWebGLProgram(s,[n,o],n.dtype)},kD={kernelName:eu,backendName:"webgl",kernelFunc:wX};var _X=` + return vec4(equal(a, b)); +`,kX="return float(a == b);",vX=it({opSnippet:kX,packedOpSnippet:_X,dtype:"bool"}),vD={kernelName:ai,backendName:"webgl",kernelFunc:vX};var CX=` + // Error function is calculated approximately with elementary function. + // See "Handbook of Mathematical Functions with Formulas, + // Graphs, and Mathematical Tables", Abramowitz and Stegun. + float p = ${N.ERF_P}; + float a1 = ${N.ERF_A1}; + float a2 = ${N.ERF_A2}; + float a3 = ${N.ERF_A3}; + float a4 = ${N.ERF_A4}; + float a5 = ${N.ERF_A5}; + + float sign = sign(x); + x = abs(x); + float t = 1.0 / (1.0 + p * x); + return sign * (1.0 - (((((a5*t + a4)*t) + a3)*t + a2)*t + a1)*t*exp(-x*x)); +`,IX=ve({opSnippet:CX}),CD={kernelName:ii,backendName:"webgl",kernelFunc:IX};var ID="return exp(x);",Tv=ve({opSnippet:ID,packedOpSnippet:ID,cpuKernelImpl:vA}),ND={kernelName:oo,backendName:"webgl",kernelFunc:Tv};function lx(r){let{inputs:e,attrs:t,backend:n}=r,{dim:o}=t,{input:s}=e,a=s.shape.length,i=s.shape.slice(),l=o;return o<0&&(y.assert(-(a+1)<=o,()=>`Axis must be in the interval [${-(a+1)}, ${a}]`),l=a+o+1),i.splice(l,0,1),ce({inputs:{x:s},backend:n,attrs:{shape:i}})}var SD={kernelName:ps,backendName:"webgl",kernelFunc:lx};var TD="return exp(x) - 1.0;",NX=ve({opSnippet:TD,packedOpSnippet:TD,cpuKernelImpl:CA}),ED={kernelName:li,backendName:"webgl",kernelFunc:NX};var ux=class{constructor(e,t,n){this.variableNames=["real","imag"];let o=t[1];this.outputShape=t;let s=n?`2.0 * ${Math.PI}`:`-2.0 * ${Math.PI}`,a=n?`${o}.0`:"1.0",i;if(e==="real")i="return real * expR - imag * expI;";else if(e==="imag")i="return real * expI + imag * expR;";else throw new Error(`FFT component must be either "real" or "imag", got ${e}.`);this.userCode=` + const float exponentMultiplier = ${s}; + + float unaryOpComplex(float real, float expR, float imag, float expI) { + ${i} + } + + float mulMatDFT(int batch, int index) { + float indexRatio = float(index) / float(${o}); + float exponentMultiplierTimesIndexRatio = + exponentMultiplier * indexRatio; + + float result = 0.0; + + for (int i = 0; i < ${o}; i++) { + // x = (-2|2 * PI / N) * index * i; + float x = exponentMultiplierTimesIndexRatio * float(i); + float expR = cos(x); + float expI = sin(x); + float real = getReal(batch, i); + float imag = getImag(batch, i); + + result += + unaryOpComplex(real, expR, imag, expI) / ${a}; + } + + return result; + } + + void main() { + ivec2 coords = getOutputCoords(); + setOutput(mulMatDFT(coords[0], coords[1])); + } + `}};function cx(r,e,t){let n=t.texData.get(r.dataId),o=y.sizeFromShape(r.shape),s=r.shape[r.shape.length-1],a=o/s,i=ce({inputs:{x:r},backend:t,attrs:{shape:[a,s]}}),l=i.shape,u=new ux("real",l,e),c=new ux("imag",l,e),p=[{dataId:n.complexTensorInfos.real.dataId,dtype:n.complexTensorInfos.real.dtype,shape:l},{dataId:n.complexTensorInfos.imag.dataId,dtype:n.complexTensorInfos.imag.dtype,shape:l}],m=t.runWebGLProgram(u,p,"float32"),f=t.runWebGLProgram(c,p,"float32"),d=nn({inputs:{real:m,imag:f},backend:t});t.disposeIntermediateTensorInfo(m),t.disposeIntermediateTensorInfo(f);let h=ce({inputs:{x:d},backend:t,attrs:{shape:r.shape}});return t.disposeIntermediateTensorInfo(i),t.disposeIntermediateTensorInfo(d),h}function SX(r){let{inputs:e,backend:t}=r,{input:n}=e;return cx(n,!1,t)}var AD={kernelName:tu,backendName:"webgl",kernelFunc:SX};var Ev=class{constructor(e,t){this.outputShape=[],this.variableNames=["x"],this.outputShape=e,this.userCode=` + uniform float value; + void main() { + // Input can be obtained from uniform value. + setOutput(value); + } + `}getCustomSetupFunc(e){return(t,n)=>{this.valueLoc==null&&(this.valueLoc=t.getUniformLocationNoThrow(n,"value")),t.gl.uniform1f(this.valueLoc,e)}}};function Pf(r){let{backend:e,attrs:t}=r,{shape:n,value:o}=t,{dtype:s}=t;if(s=s||y.inferDtype(o),s==="string"){let a=y.getArrayFromDType(s,y.sizeFromShape(n));return a.fill(o),e.makeTensorInfo(n,s,a)}else{let a=new Ev(n,o),i=a.getCustomSetupFunc(o);return e.runWebGLProgram(a,[],s,i)}}var DD={kernelName:ua,backendName:"webgl",kernelFunc:Pf};var Av=class{constructor(e){this.variableNames=["Image"],this.outputShape=[];let t=e[2];this.outputShape=e,this.userCode=` + void main() { + ivec4 coords = getOutputCoords(); + int x = coords[2]; + + int coordX = ${t} - x; + float outputValue; + if(coordX >= 0 && coordX < ${t}) { + outputValue = getImage(coords[0], coords[1], coordX, coords[3]); + } else { + outputValue = getImage(coords[0], coords[1], coords[2], coords[3]); + } + setOutput(outputValue); + } + `}};var $D={kernelName:ui,backendName:"webgl",kernelFunc:({inputs:r,backend:e})=>{let{image:t}=r,n=e,o=new Av(t.shape);return n.runWebGLProgram(o,[t],t.dtype)}};var RD="return floor(x);",TX=ve({opSnippet:RD,packedOpSnippet:RD,cpuKernelImpl:IA}),FD={kernelName:so,backendName:"webgl",kernelFunc:TX};var EX=` + float s = sign(a) * sign(b); + int ia = round(a); + int ib = round(b); + if (ib != 0) { + // Windows (D3D) wants guaranteed non-zero int division at compile-time. + return float(idiv(ia, ib, s)); + } else { + return NAN; + } +`,AX=` + ivec4 ia = round(a); + ivec4 ib = round(b); + bvec4 cond = notEqual(ib, ivec4(0)); + ivec4 result = ivec4(0); + vec4 s = sign(a) * sign(b); + + // Windows (D3D) wants guaranteed non-zero int division at compile-time. + if (cond[0]) { + result[0] = idiv(ia[0], ib[0], s[0]); + } + if (cond[1]) { + result[1] = idiv(ia[1], ib[1], s[1]); + } + if (cond[2]) { + result[2] = idiv(ia[2], ib[2], s[2]); + } + if (cond[3]) { + result[3] = idiv(ia[3], ib[3], s[3]); + } + return vec4(result); +`,DX=it({opSnippet:EX,packedOpSnippet:AX,dtype:"int32"}),OD={kernelName:io,backendName:"webgl",kernelFunc:DX};var Dv=class{constructor(e){this.variableNames=["A"];let t=Pt(),[n,o]=e;this.outputShape=e,this.userCode=` + void main() { + ivec3 coords = getOutputCoords(); + int texR = coords[0]; + int texC = coords[1]; + int depth = coords[2]; + vec2 uv = (vec2(texC, texR) + halfCR) / vec2(${o}.0, ${n}.0); + + vec4 values = ${t.texture2D}(A, uv); + float value; + if (depth == 0) { + value = values.r; + } else if (depth == 1) { + value = values.g; + } else if (depth == 2) { + value = values.b; + } else if (depth == 3) { + value = values.a; + } + + setOutput(floor(value * 255.0 + 0.5)); + } + `}};var $v=class{constructor(e){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;let t=Pt(),[n,o]=e;this.outputShape=e,this.userCode=` + void main() { + ivec3 coords = getOutputCoords(); + int texR = coords[0]; + int texC = coords[1]; + int depth = coords[2]; + + vec4 result = vec4(0.); + + for(int row=0; row<=1; row++) { + for(int col=0; col<=1; col++) { + texC = coords[1] + row; + depth = coords[2] + col; + + vec2 uv = (vec2(texC, texR) + halfCR) / + vec2(${o}.0, ${n}.0); + vec4 values = ${t.texture2D}(A, uv); + float value; + if (depth == 0) { + value = values.r; + } else if (depth == 1) { + value = values.g; + } else if (depth == 2) { + value = values.b; + } else if (depth == 3) { + value = values.a; + } + + result[row * 2 + col] = floor(value * 255.0 + 0.5); + } + } + + ${t.output} = result; + } + `}};var PD={kernelName:Lc,backendName:"webgl",kernelFunc:$X},Cp;function $X(r){let{inputs:e,backend:t,attrs:n}=r,{pixels:o}=e,{numChannels:s}=n,a=typeof HTMLVideoElement!="undefined"&&o instanceof HTMLVideoElement,i=typeof HTMLImageElement!="undefined"&&o instanceof HTMLImageElement,l=typeof ImageBitmap!="undefined"&&o instanceof ImageBitmap,[u,c]=a?[o.videoWidth,o.videoHeight]:[o.width,o.height],p=[c,u],m=[c,u,s];(i||a||l)&&(Cp==null&&(Cp=document.createElement("canvas").getContext("2d")),Cp.canvas.width=u,Cp.canvas.height=c,Cp.drawImage(o,0,0,u,c),o=Cp.canvas);let f=t.makeTensorInfo(p,"int32");t.texData.get(f.dataId).usage=Ar.PIXELS,t.gpgpu.uploadPixelDataToTexture(t.getTexture(f.dataId),o);let d=W().getBool("WEBGL_PACK")?new $v(m):new Dv(m),h=t.runWebGLProgram(d,[f],"int32");return t.disposeData(f.dataId),h}function RX(r){let{inputs:e,backend:t,attrs:n}=r,{x:o,filter:s,bias:a,preluActivationWeights:i}=e,{strides:l,pad:u,dataFormat:c,dilations:p,dimRoundingMode:m,activation:f,leakyreluAlpha:d}=n,h=N.convertConv2DDataFormat(c),g=N.computeConv2DInfo(o.shape,s.shape,l,p,u,m,!1,h),x,b=[];if(g.filterHeight===1&&g.filterWidth===1&&g.dilationHeight===1&&g.dilationWidth===1&&g.strideHeight===1&&g.strideWidth===1&&(g.padInfo.type==="SAME"||g.padInfo.type==="VALID"))x=sx({x:o,filter:s,convInfo:g,backend:t,bias:a,activation:f,preluActivationWeights:i,leakyreluAlpha:d});else if(W().getBool("WEBGL_CONV_IM2COL")&&o.shape[0]===1)x=ix({x:o,filter:s,convInfo:g,backend:t,bias:a,activation:f,preluActivationWeights:i,leakyreluAlpha:d});else{let _=a!=null,k=i!=null,E=f==="leakyrelu",S=f?xl(f,!1):null,R=new Rf(g,_,S,k,E),F=[o,s];if(a&&F.push(a),i&&F.push(i),E){let L=t.makeTensorInfo([],"float32",y.createScalarValue(d,"float32"));F.push(L),b.push(L)}x=t.runWebGLProgram(R,F,"float32")}let w=ce({inputs:{x},backend:t,attrs:{shape:g.outShape}});return b.push(x),b.forEach(_=>t.disposeIntermediateTensorInfo(_)),w}var MD={kernelName:vs,backendName:"webgl",kernelFunc:RX};function FX(r){let{inputs:e,backend:t,attrs:n}=r,{x:o,filter:s,bias:a,preluActivationWeights:i}=e,{strides:l,pad:u,dilations:c,dimRoundingMode:p,activation:m,leakyreluAlpha:f}=n,d=[],h=c;h==null&&(h=[1,1]),y.assert(N.eitherStridesOrDilationsAreOne(l,h),()=>`Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides ${l} and dilations '${h}'`);let g=N.computeConv2DInfo(o.shape,s.shape,l,h,u,p,!0),x=W().getBool("WEBGL_PACK_DEPTHWISECONV")&&g.strideWidth<=2&&g.outChannels/g.inChannels==1,b=m?xl(m,x):null,w=[o,s],_=a!=null,k=i!=null,E=m==="leakyrelu";if(_&&w.push(a),k&&w.push(i),E){let F=t.makeTensorInfo([],"float32",y.createScalarValue(f,"float32"));w.push(F),d.push(F)}let S;x?S=new Of(g,_,b,k,E):S=new Ff(g,_,b,k,E);let R=t.runWebGLProgram(S,w,"float32");return d.forEach(F=>t.disposeIntermediateTensorInfo(F)),R}var LD={kernelName:Cs,backendName:"webgl",kernelFunc:FX};var Rv=class{constructor(e,t,n){this.sliceDim=e,this.strides=t,this.variableNames=["x","indices"],this.outputShape=n;let o=Le(t.length),s=Le(n.length),a=this.sliceDim>1?"strides[j]":"strides";this.userCode=` + ${o} strides = ${o}(${this.strides}); + void main() { + ${s} coords = getOutputCoords(); + int flattenIndex = 0; + for (int j = 0; j < ${this.sliceDim}; j++) { + int index = round(getIndices(coords[0], j)); + flattenIndex += index * ${a}; + } + setOutput(getX(flattenIndex, coords[1])); + } + `}};function OX(r){let{inputs:e,backend:t}=r,{params:n,indices:o}=e,s=o.shape,a=s[s.length-1],[i,l,u,c]=N.prepareAndValidate(n,o),p=ce({inputs:{x:o},backend:t,attrs:{shape:[l,a]}}),m=ce({inputs:{x:n},backend:t,attrs:{shape:[y.sizeFromShape(n.shape)/u,u]}}),f=new Rv(a,c,[l,u]),d=t.runWebGLProgram(f,[m,p],m.dtype),h=ce({inputs:{x:d},backend:t,attrs:{shape:i}});return t.disposeIntermediateTensorInfo(p),t.disposeIntermediateTensorInfo(m),t.disposeIntermediateTensorInfo(d),h}var zD={kernelName:ci,backendName:"webgl",kernelFunc:OX};var Fv=class{constructor(e,t){this.variableNames=["A","indices"],this.outputShape=t,this.rank=t.length;let n=Le(this.rank),o=PX(e,2);this.userCode=` + void main() { + ${n} resRC = getOutputCoords(); + setOutput(getA(${o})); + } + `}};function PX(r,e){let t=["resRC.x","resRC.y","resRC.z","resRC.w"],n=[];for(let o=0;ot.disposeIntermediateTensorInfo(k)),t.makeTensorInfo(u.outputShape,_.dtype,_.values)}let h=new Fv(m.shape,d),g=t.runWebGLProgram(h,[m,f],m.dtype);p.push(g);let x=ce({inputs:{x:g},backend:t,attrs:{shape:u.outputShape}});return p.forEach(b=>t.disposeIntermediateTensorInfo(b)),x}var BD={kernelName:ms,backendName:"webgl",kernelFunc:MX};var LX="return float(a > b);",zX=` + return vec4(greaterThan(a, b)); +`,BX=it({opSnippet:LX,packedOpSnippet:zX,cpuKernelImpl:SA,dtype:"bool"}),VD={kernelName:pi,backendName:"webgl",kernelFunc:BX};var VX="return float(a >= b);",GX=` + return vec4(greaterThanEqual(a, b)); +`,jX=it({opSnippet:VX,packedOpSnippet:GX,dtype:"bool"}),GD={kernelName:lo,backendName:"webgl",kernelFunc:jX};function WX(r){let{inputs:e,backend:t}=r,{input:n}=e;return cx(n,!0,t)}var jD={kernelName:ru,backendName:"webgl",kernelFunc:WX};var UX="return float(!isnan(x) && !isinf(x));",qX=ve({opSnippet:UX,dtype:"bool"}),WD={kernelName:mi,backendName:"webgl",kernelFunc:qX};var HX="return float(isinf(x));",KX=ve({opSnippet:HX,dtype:"bool"}),UD={kernelName:fi,backendName:"webgl",kernelFunc:KX};var XX="return float(isnan(x));",YX=ve({opSnippet:XX,dtype:"bool"}),qD={kernelName:di,backendName:"webgl",kernelFunc:YX};var ZX="return float(a < b);",JX=` + return vec4(lessThan(a, b)); +`,QX=it({opSnippet:ZX,packedOpSnippet:JX,cpuKernelImpl:TA,dtype:"bool"}),HD={kernelName:hi,backendName:"webgl",kernelFunc:QX};var e7="return float(a <= b);",t7=` + return vec4(lessThanEqual(a, b)); +`,r7=it({opSnippet:e7,packedOpSnippet:t7,dtype:"bool"}),KD={kernelName:gi,backendName:"webgl",kernelFunc:r7};function n7(r){let{backend:e,attrs:t}=r,{start:n,stop:o,num:s}=t,a=EA(n,o,s);return e.makeTensorInfo([a.length],"float32",a)}var XD={kernelName:ou,backendName:"webgl",kernelFunc:n7};var o7=`if (x < 0.0) return NAN; + return log(x);`,s7=` + vec4 result = log(x); + vec4 isNaN = vec4(lessThan(x, vec4(0.0))); + result.r = isNaN.r == 1.0 ? NAN : result.r; + result.g = isNaN.g == 1.0 ? NAN : result.g; + result.b = isNaN.b == 1.0 ? NAN : result.b; + result.a = isNaN.a == 1.0 ? NAN : result.a; + + return result; +`,i7=ve({opSnippet:o7,packedOpSnippet:s7,cpuKernelImpl:AA}),YD={kernelName:co,backendName:"webgl",kernelFunc:i7};var a7="return log(1.0 + x);",l7=ve({opSnippet:a7}),ZD={kernelName:xi,backendName:"webgl",kernelFunc:l7};var u7="return float(a >= 1.0 && b >= 1.0);",c7=` + return vec4( + vec4(greaterThanEqual(a, vec4(1.0))) * + vec4(greaterThanEqual(b, vec4(1.0)))); +`,p7=it({opSnippet:u7,packedOpSnippet:c7,dtype:"bool"}),JD={kernelName:yi,backendName:"webgl",kernelFunc:p7};var m7="return float(!(x >= 1.0));",f7=ve({opSnippet:m7}),QD={kernelName:Qa,backendName:"webgl",kernelFunc:f7};var d7="return float(a >= 1.0 || b >= 1.0);",h7=` + return min( + vec4(greaterThanEqual(a, vec4(1.0))) + + vec4(greaterThanEqual(b, vec4(1.0))), + vec4(1.0)); +`,g7=it({opSnippet:d7,packedOpSnippet:h7,dtype:"bool"}),e$={kernelName:el,backendName:"webgl",kernelFunc:g7};var Ov=class{constructor(e,t,n,o,s){this.variableNames=["x"],this.outputShape=[];let a=t,i=e[3]-1;this.outputShape=e;let l,u=`float(${n}) + float(${o}) * sum`;s===.5?l=`inversesqrt(${u})`:s===1?l=`1.0/(${u})`:l=`exp(log(${u}) * float(-${s}));`,this.userCode=` + void main() { + ivec4 coords = getOutputCoords(); + int b = coords[0]; + int r = coords[1]; + int c = coords[2]; + int d = coords[3]; + float x = getX(b, r, c, d); + float sum = 0.0; + for (int j = -${a}; j <= ${a}; j++) { + int idx = d + j; + if (idx >= 0 && idx <= ${i}) { + float z = getX(b, r, c, idx); + sum += z * z; + } + } + float val = x * ${l}; + setOutput(val); + } + `}};var Pv=class{constructor(e,t,n,o,s){this.variableNames=["x"],this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0;let a=t,i=e[3]-1;this.outputShape=e;let l,u=`float(${n}) + float(${o}) * sum`;s===.5?l=`inversesqrt(${u})`:s===1?l=`1.0/(${u})`:l=`exp(log(${u}) * float(-${s}));`,this.userCode=` + void main() { + ivec4 coords = getOutputCoords(); + int b = coords.x; + int r = coords.y; + int c = coords.z; + int d = coords.w; + + bool hasNextCol = d < ${this.outputShape[3]}; + bool hasNextRow = c < ${this.outputShape[2]}; + + vec4 sum = vec4(0.); + vec4 xFragAtOutputCoords = getX(b, r, c, d); + + vec4 xAtOutputCoords = vec4( + getChannel(xFragAtOutputCoords, vec2(c, d)), + hasNextCol ? + getChannel(xFragAtOutputCoords, vec2(c, d + 1)) : 0.0, + hasNextRow ? + getChannel(xFragAtOutputCoords , vec2(c + 1, d)) : 0.0, + (hasNextRow && hasNextCol) ? + getChannel(xFragAtOutputCoords, vec2(c + 1, d + 1)) : 0.0 + ); + + int firstChannel = d - ${a}; + vec2 cache = vec2(0.); + if(firstChannel >= 0){ + vec4 firstChannelFrag = getX(b, r, c, firstChannel); + cache.x = getChannel(firstChannelFrag, vec2(c, firstChannel)); + if(hasNextRow){ + cache.y = getChannel(firstChannelFrag, vec2(c + 1, firstChannel)); + } + } + + ivec2 depth = ivec2(d, d + 1); + for (int j = - ${a}; j <= ${a}; j++) { + ivec2 idx = depth + j; + bvec2 aboveLowerBound = greaterThanEqual(idx, ivec2(0)); + bvec2 belowUpperBound = lessThanEqual(idx, ivec2(${i})); + + bool depthInRange = aboveLowerBound.x && belowUpperBound.x; + bool depthPlusOneInRange = aboveLowerBound.y && belowUpperBound.y; + + if(depthInRange || depthPlusOneInRange){ + vec4 z = vec4(0.); + vec4 xFragAtCurrentDepth; + z.xz = cache.xy; + if(depthPlusOneInRange && hasNextCol){ + xFragAtCurrentDepth = idx.y != d ? + getX(b, r, c, idx.y) : xFragAtOutputCoords; + z.y = getChannel(xFragAtCurrentDepth, vec2(c, idx.y)); + if(hasNextRow){ + z.w = getChannel(xFragAtCurrentDepth, vec2(c + 1, idx.y)); + } + } + cache.xy = z.yw; + sum += z * z; + } + } + vec4 result = xAtOutputCoords * ${l}; + setOutput(result); + } + `}};var x7=r=>{let{inputs:e,backend:t,attrs:n}=r,{x:o}=e,{depthRadius:s,bias:a,alpha:i,beta:l}=n,u=W().getBool("WEBGL_PACK_NORMALIZATION")?new Pv(o.shape,s,a,i,l):new Ov(o.shape,s,a,i,l);return t.runWebGLProgram(u,[o],o.dtype)},t$={kernelName:ca,backendName:"webgl",kernelFunc:x7};var Mv=class{constructor(e,t,n,o,s){this.variableNames=["inputImage","outputImage","dy"],this.outputShape=[],this.outputShape=e,this.depth=e[3],this.depthRadius=t,this.bias=n,this.alpha=o,this.beta=s,this.userCode=` + void main() { + ivec4 coords = getOutputCoords(); + int b = coords[0]; + int r = coords[1]; + int c = coords[2]; + + float result = 0.0; + for (int d = 0; d < ${this.depth}; ++d) { + int depthBegin = int(max(0.0, float(d - ${t}))); + int depthEnd = int(min(float(${this.depth}), + float(d + ${t} + 1))); + + const int MIN_DEPTH_BEGIN = 0; + const int MAX_DEPTH_END = ${this.depth}; + + float norm = 0.0; + for (int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k) { + if (k < depthBegin){ + continue; + } + else if (k >= depthBegin && k < depthEnd) { + norm += getInputImage(b, r, c, k) * getInputImage(b, r, c, k); + } + else { + break; + } + } + + norm = float(${o}) * norm + float(${n}); + + for(int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k){ + if (k < depthBegin){ + continue; + } + else if (k >= depthBegin && k < depthEnd){ + float dyi = -2.0 * float(${o}) + * float(${s}) + * getInputImage(b ,r ,c, k) * getOutputImage(b, r, c, d) + / norm; + if (k == d) { + dyi += pow(norm, -1.0 * ${s}); + } + if (k == coords[3]) { + dyi *= getDy(b, r, c, d); + result += dyi; + } + } + else { + break; + } + } + } + setOutput(result); + } + `}};var y7=r=>{let{inputs:e,backend:t,attrs:n}=r,{x:o,y:s,dy:a}=e,{depthRadius:i,bias:l,alpha:u,beta:c}=n,p=new Mv(o.shape,i,l,u,c);return t.runWebGLProgram(p,[o,s,a],o.dtype)},r$={kernelName:su,backendName:"webgl",kernelFunc:y7};function n$(r,e,t,n){let o=y.sizeFromShape(e),a=y.sizeFromShape(r.shape)/o,i=ce({inputs:{x:r},attrs:{shape:[a,o]},backend:n}),l=vn(i,r.dtype,"max",n),u=ce({inputs:{x:l},attrs:{shape:t},backend:n});return n.disposeIntermediateTensorInfo(i),n.disposeIntermediateTensorInfo(l),u}function Lv(r){let{inputs:e,backend:t,attrs:n}=r,{x:o}=e,{reductionIndices:s,keepDims:a}=n,i=o.shape.length,l=y.parseAxisParam(s,o.shape),u=l,c=N.getAxesPermutation(u,i),p=c!=null,m=t.shouldExecuteOnCPU([o]),f=o;if(p){if(m){let w=t.texData.get(f.dataId).values,_=new Array(i);for(let S=0;S<_.length;S++)_[S]=o.shape[c[S]];let k=vp(w,o.shape,o.dtype,c,_);f=t.makeTensorInfo(_,o.dtype);let E=t.texData.get(f.dataId);E.values=k}else f=yl(o,c,t);u=N.getInnerMostAxes(u.length,i)}N.assertAxesAreInnerMostDims("max",u,i);let[d,h]=N.computeOutAndReduceShapes(f.shape,u),g=d;a&&(g=N.expandShapeToKeepDim(d,l));let x;if(m){let w=t.texData.get(f.dataId).values,_=DA(w,y.sizeFromShape(h),g,o.dtype);x=t.makeTensorInfo(g,o.dtype);let k=t.texData.get(x.dataId);k.values=_}else x=n$(f,h,g,t);return p&&t.disposeIntermediateTensorInfo(f),x}var o$={kernelName:po,backendName:"webgl",kernelFunc:Lv};var b7=Jg+` + return max(a, b); +`,w7=` + vec4 result = vec4(max(a, b)); + vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0)); + `+gl+` + return result; +`,_7=it({opSnippet:b7,packedOpSnippet:w7,cpuKernelImpl:$A}),s$={kernelName:mo,backendName:"webgl",kernelFunc:_7};function k7(r){let{inputs:e,backend:t,attrs:n}=r,{x:o}=e;Fs(o,"maxPool");let{filterSize:s,strides:a,pad:i,dimRoundingMode:l}=n,u=1;y.assert(N.eitherStridesOrDilationsAreOne(a,u),()=>`Error in maxPool: Either strides or dilations must be 1. Got strides ${a} and dilations '${u}'`);let c=N.computePool2DInfo(o.shape,s,a,u,i,l);if(c.filterWidth===1&&c.filterHeight===1&&y.arraysEqual(c.inShape,c.outShape))return Ut({inputs:{x:o},backend:t});let p=new Wi(c,"max",!1);return t.runWebGLProgram(p,[o],o.dtype)}var i$={kernelName:fo,backendName:"webgl",kernelFunc:k7};function v7(r){let{inputs:e,backend:t,attrs:n}=r,{x:o}=e,{filterSize:s,strides:a,pad:i,dataFormat:l,dimRoundingMode:u}=n,c=[1,1,1],p=N.computePool3DInfo(o.shape,s,a,c,i,u,l),m=new rc(p,"max",!1);return t.runWebGLProgram(m,[o],o.dtype)}var a$={kernelName:pa,backendName:"webgl",kernelFunc:v7};var zv=class{constructor(e){this.variableNames=["dy","maxPos"],this.outputShape=e.inShape;let t=e.strideHeight,n=e.strideWidth,o=e.dilationHeight,s=e.effectiveFilterHeight,a=e.effectiveFilterWidth,i=s-1-e.padInfo.top,l=a-1-e.padInfo.left,u=s*a-1;this.userCode=` + const ivec2 pads = ivec2(${i}, ${l}); + + void main() { + ivec4 coords = getOutputCoords(); + int b = coords[0]; + int d = coords[3]; + + ivec2 dyRCCorner = coords.yz - pads; + int dyRCorner = dyRCCorner.x; + int dyCCorner = dyRCCorner.y; + + // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d). + // ? = to be determined. : = across all values in that axis. + float dotProd = 0.0; + for (int wR = 0; wR < ${s}; + wR += ${o}) { + float dyR = float(dyRCorner + wR) / ${t}.0; + + if (dyR < 0.0 || dyR >= ${e.outHeight}.0 || fract(dyR) > 0.0) { + continue; + } + int idyR = int(dyR); + + for (int wC = 0; wC < ${a}; wC++) { + float dyC = float(dyCCorner + wC) / ${n}.0; + + if (dyC < 0.0 || dyC >= ${e.outWidth}.0 || + fract(dyC) > 0.0) { + continue; + } + int idyC = int(dyC); + + float dyValue = getDy(b, idyR, idyC, d); + int maxPosValue = ${u} - int(getMaxPos(b, idyR, idyC, d)); + + // Get the current value, check it against the value from the + // position matrix. + int curPosValue = wR * ${a} + wC; + float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0); + + dotProd += dyValue * mask; + } + } + setOutput(dotProd); + } + `}},Bv=class{constructor(e){this.variableNames=["dy","maxPos"],this.outputShape=e.inShape;let t=e.strideDepth,n=e.strideHeight,o=e.strideWidth,s=e.dilationDepth,a=e.dilationHeight,i=e.dilationWidth,l=e.effectiveFilterDepth,u=e.effectiveFilterHeight,c=e.effectiveFilterWidth,p=l-1-e.padInfo.front,m=u-1-e.padInfo.top,f=c-1-e.padInfo.left,d=l*u*c-1;this.userCode=` + const ivec3 pads = ivec3(${p}, ${m}, ${f}); + + void main() { + ivec5 coords = getOutputCoords(); + int batch = coords.x; + int ch = coords.u; + + ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads; + int dyDCorner = dyCorner.x; + int dyRCorner = dyCorner.y; + int dyCCorner = dyCorner.z; + + // Convolve dy(?, ?, ?, ch) with pos mask(:, :, :, d) to get + // dx(xD, xR, xC, ch). + // ? = to be determined. : = across all values in that axis. + float dotProd = 0.0; + + for (int wD = 0; wD < ${l}; + wD += ${s}) { + float dyD = float(dyDCorner + wD) / ${t}.0; + + if (dyD < 0.0 || dyD >= ${e.outDepth}.0 || fract(dyD) > 0.0) { + continue; + } + int idyD = int(dyD); + + for (int wR = 0; wR < ${u}; + wR += ${a}) { + float dyR = float(dyRCorner + wR) / ${n}.0; + + if (dyR < 0.0 || dyR >= ${e.outHeight}.0 || + fract(dyR) > 0.0) { + continue; + } + int idyR = int(dyR); + + for (int wC = 0; wC < ${c}; + wC += ${i}) { + float dyC = float(dyCCorner + wC) / ${o}.0; + + if (dyC < 0.0 || dyC >= ${e.outWidth}.0 || + fract(dyC) > 0.0) { + continue; + } + int idyC = int(dyC); + + float dyValue = getDy(batch, idyD, idyR, idyC, ch); + int maxPosValue = ${d} - + int(getMaxPos(batch, idyD, idyR, idyC, ch)); + + // Get the current value, check it against the value from the + // position matrix. + int curPosValue = + wD * ${u} * ${c} + + wR * ${c} + wC; + float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0); + + dotProd += dyValue * mask; + } + } + } + setOutput(dotProd); + } + `}};function C7(r){let{inputs:e,backend:t,attrs:n}=r,{dy:o,input:s}=e,a=s,{filterSize:i,strides:l,pad:u,dimRoundingMode:c}=n,p=[1,1,1],m=N.computePool3DInfo(a.shape,i,l,p,u,c),f=new rc(m,"max",!0),d=t.runWebGLProgram(f,[a],a.dtype),h=new Bv(m),g=t.runWebGLProgram(h,[o,d],a.dtype);return t.disposeIntermediateTensorInfo(d),g}var l$={kernelName:au,backendName:"webgl",kernelFunc:C7};function I7(r){let{inputs:e,backend:t,attrs:n}=r,{dy:o,input:s,output:a}=e,i=s;Fs([s,a],"maxPoolGrad");let{filterSize:l,strides:u,pad:c,dimRoundingMode:p}=n,m=N.computePool2DInfo(i.shape,l,u,1,c,p),f=!0,d=new Wi(m,"max",f),h=t.runWebGLProgram(d,[i],i.dtype),g=new zv(m),x=t.runWebGLProgram(g,[o,h],i.dtype);return t.disposeIntermediateTensorInfo(h),x}var u$={kernelName:iu,backendName:"webgl",kernelFunc:I7};function c$(r,e,t,n){let o=new Wi(t,"max",!1),s=n.runWebGLProgram(o,[r],"float32");o=new Wi(t,"max",!0,!0,e);let a=n.runWebGLProgram(o,[r],"float32");return[s,a]}var p$={kernelName:lu,backendName:"webgl",kernelFunc:({inputs:r,attrs:e,backend:t})=>{let{x:n}=r,{filterSize:o,strides:s,pad:a,includeBatchInIndex:i}=e,l=t;y.assert(n.shape.length===4,()=>`Error in maxPool: input must be rank 4 but got rank ${n.shape.length}.`);let u=[1,1];y.assert(N.eitherStridesOrDilationsAreOne(s,u),()=>`Error in maxPool: Either strides or dilations must be 1. Got strides ${s} and dilations '${u}'`);let c=N.computePool2DInfo(n.shape,o,s,u,a),[p,m]=c$(n,i,c,l);return[p,m]}};function m$(r,e,t,n){let o=y.sizeFromShape(e),a=y.sizeFromShape(r.shape)/o,i=ce({inputs:{x:r},attrs:{shape:[a,o]},backend:n}),l=vn(i,"float32","mean",n),u=ce({inputs:{x:l},attrs:{shape:t},backend:n});return n.disposeIntermediateTensorInfo(i),n.disposeIntermediateTensorInfo(l),u}var f$={kernelName:ho,backendName:"webgl",kernelFunc:({inputs:r,attrs:e,backend:t})=>{let{x:n}=r,{keepDims:o,axis:s}=e,a=t,i=n.shape.length,l=y.parseAxisParam(s,n.shape),u=l,c=N.getAxesPermutation(u,i),p=c!=null,m=a.shouldExecuteOnCPU([n]),f=[],d=n;if(p){if(m){let _=a.texData.get(d.dataId).values,k=new Array(i);for(let R=0;Rc[0]+e[p]+c[1]);let o=e.length,s=Le(o),a=t.map(c=>c[0]).join(","),i=t.map((c,p)=>c[0]+e[p]).join(","),l=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,o),u=n==="reflect"?0:1;if(o===1){this.userCode=` + int start = ${a}; + int end = ${i}; + + void main() { + int outC = getOutputCoords(); + if (outC < start) { + outC = start * 2 - outC - ${u}; + } else if(outC >= end) { + outC = (end - 1) * 2 - outC + ${u}; + } + setOutput(getX(outC - start)); + } + `;return}this.userCode=` + ${s} start = ${s}(${a}); + ${s} end = ${s}(${i}); + + void main() { + ${s} outC = getOutputCoords(); + for (int i = 0; i < ${o}; i++) { + if (outC[i] < start[i]) { + outC[i] = start[i] * 2 - outC[i] - ${u}; + } else if(outC[i] >= end[i]) { + outC[i] = (end[i] - 1) * 2 - outC[i] + ${u}; + } + } + ${s} coords = outC - start; + setOutput(getX(${l})); + } + `}};var Gv=class{constructor(e,t,n){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t.map((d,h)=>d[0]+e[h]+d[1]);let o=e.length,s=Le(o),a=t.map(d=>d[0]).join(","),i=t.map((d,h)=>d[0]+e[h]).join(","),l=Wt("rc",o),u=Wt("source",o),c=`${l[o-1]} < ${this.outputShape[o-1]}`,p=o===1?"source":`vec2(${u.slice(-2).join()})`,m=n==="reflect"?0:1,f="";if(o===1){let d=` + ${s} source = rc; + if (source < start) { + source = start * 2 - source - ${m}; + } else if (source >= end) { + source = (end - 1) * 2 - source + ${m}; + } + source -= start; + `;f=` + ${s} rc = outputLoc; + ${d} + result[0] = getChannel(getX(${u.join()}), ${p}); + ${l[o-1]} += 1; + if(${c}) { + ${d} + result[1] = getChannel(getX(${u.join()}), ${p}); + } + `}else{let d=` + ${s} source = rc; + ${s} lt = ${s}(lessThan(source, start)); + ${s} gte = ${s}(greaterThanEqual(source, end)); + ${s} orig = 1 - (lt + gte); + source = orig * source + + lt * (start * 2 - source - ${m}) + + gte * ((end - 1) * 2 - source + ${m}); + source -= start; + `;f=` + ${s} rc = outputLoc; + ${d} + result[0] = getChannel(getX(${u.join()}), ${p}); + ${l[o-1]} += 1; + if(${c}) { + ${d} + result[1] = getChannel(getX(${u.join()}), ${p}); + } + rc = outputLoc; + ${l[o-2]} += 1; + if(${l[o-2]} < ${this.outputShape[o-2]}) { + ${d} + result[2] = getChannel(getX(${u.join()}), ${p}); + ${l[o-1]} += 1; + if(${c}) { + ${d} + result[3] = getChannel(getX(${u.join()}), ${p}); + } + } + `}this.userCode=` + const ${s} start = ${s}(${a}); + const ${s} end = ${s}(${i}); + + void main() { + ${s} outputLoc = getOutputCoords(); + vec4 result = vec4(0.); + ${f} + setOutput(result); + } + `}};var A7=({inputs:r,backend:e,attrs:t})=>{let{x:n}=r,{paddings:o,mode:s}=t,a=W().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new Gv(n.shape,o,s):new Vv(n.shape,o,s);return e.runWebGLProgram(a,[n],n.dtype)},g$={kernelName:ma,backendName:"webgl",kernelFunc:A7};var D7=`if (b == 0.0) return NAN; + return mod(a, b);`,$7=` + vec4 result = mod(a, b); + vec4 isNaN = vec4(equal(b, vec4(0.0))); + `+gl+` + return result; +`,R7=it({opSnippet:D7,packedOpSnippet:$7}),x$={kernelName:bi,backendName:"webgl",kernelFunc:R7};var jv=class{constructor(e,t,n){this.variableNames=["probs"],this.outputShape=[e,n],this.userCode=` + uniform float seed; + + void main() { + ivec2 coords = getOutputCoords(); + int batch = coords[0]; + + float r = random(seed); + float cdf = 0.0; + + for (int i = 0; i < ${t-1}; i++) { + cdf += getProbs(batch, i); + + if (r < cdf) { + setOutput(float(i)); + return; + } + } + + // If no other event happened, last event happened. + setOutput(float(${t-1})); + } + `}getCustomSetupFunc(e){return(t,n)=>{this.seedLoc==null&&(this.seedLoc=t.getUniformLocation(n,"seed")),t.gl.uniform1f(this.seedLoc,e)}}};var F7=` +if (a == b) { + return 1.0; +}; +return a / b;`,O7=` + // vec4 one = vec4(equal(a, b)); + // return one + (vec4(1.0) - one) * a / b; + vec4 result = a / b; + if(a.x == b.x) { + result.x = 1.; + } + if(a.y == b.y) { + result.y = 1.; + } + if(a.z == b.z) { + result.z = 1.; + } + if(a.w == b.w) { + result.w = 1.; + } + + return result; +`,Wv=it({opSnippet:F7,packedOpSnippet:O7,checkOutOfBounds:!0}),y$={kernelName:no,backendName:"webgl",kernelFunc:Wv};var b$="return a - b;",Uv=it({opSnippet:b$,packedOpSnippet:b$,supportsComplex:!0,cpuKernelImpl:VA}),w$={kernelName:Oo,backendName:"webgl",kernelFunc:Uv};function qv(r){let{inputs:e,backend:t,attrs:n}=r,{logits:o}=e,{dim:s}=n,a=y.parseAxisParam([s],o.shape),i=Lv({inputs:{x:o},backend:t,attrs:{reductionIndices:a,keepDims:!1}}),l=N.expandShapeToKeepDim(i.shape,a),u=ce({inputs:{x:i},backend:t,attrs:{shape:l}}),c=Uv({inputs:{a:o,b:u},backend:t}),p=Tv({inputs:{x:c},backend:t}),m=$f({inputs:{x:p},backend:t,attrs:{axis:a,keepDims:!1}}),f=ce({inputs:{x:m},backend:t,attrs:{shape:l}}),d=Wv({inputs:{a:p,b:f},backend:t});return t.disposeIntermediateTensorInfo(i),t.disposeIntermediateTensorInfo(u),t.disposeIntermediateTensorInfo(c),t.disposeIntermediateTensorInfo(p),t.disposeIntermediateTensorInfo(m),t.disposeIntermediateTensorInfo(f),d}var _$={kernelName:Ro,backendName:"webgl",kernelFunc:qv};function P7(r){let{inputs:e,backend:t,attrs:n}=r,{logits:o}=e,{numSamples:s,seed:a,normalized:i}=n,l=i?o:qv({inputs:{logits:o},backend:t,attrs:{dim:o.shape.length-1}}),u=l.shape[0],c=l.shape[1],p=new jv(u,c,s),m=p.getCustomSetupFunc(a),f=t.runWebGLProgram(p,[l],"int32",m);return i||t.disposeIntermediateTensorInfo(l),f}var k$={kernelName:uu,backendName:"webgl",kernelFunc:P7};var v$="return -x;";function M7(r){let{inputs:e,backend:t}=r,{x:n}=e;if(t.shouldExecuteOnCPU([n])){let s=t.texData.get(n.dataId),[a,i]=OA(s.values,n.shape,n.dtype);return t.makeTensorInfo(i,n.dtype,a)}let o;return W().getBool("WEBGL_PACK_UNARY_OPERATIONS")?o=new Ps(n.shape,v$):o=new rn(n.shape,v$),t.runWebGLProgram(o,[n],n.dtype)}var C$={kernelName:fs,backendName:"webgl",kernelFunc:M7};var L7=Tr.nonMaxSuppressionV3Impl;function z7(r){N.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");let{inputs:e,backend:t,attrs:n}=r,{boxes:o,scores:s}=e,{maxOutputSize:a,iouThreshold:i,scoreThreshold:l}=n,u=t.readSync(o.dataId),c=t.readSync(s.dataId),{selectedIndices:p}=L7(u,c,a,i,l);return t.makeTensorInfo([p.length],"int32",new Int32Array(p))}var I$={kernelName:_i,backendName:"webgl",kernelFunc:z7};var B7=Tr.nonMaxSuppressionV4Impl;function V7(r){N.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");let{inputs:e,backend:t,attrs:n}=r,{boxes:o,scores:s}=e,{maxOutputSize:a,iouThreshold:i,scoreThreshold:l,padToMaxOutputSize:u}=n,c=t.readSync(o.dataId),p=t.readSync(s.dataId),{selectedIndices:m,validOutputs:f}=B7(c,p,a,i,l,u);return[t.makeTensorInfo([m.length],"int32",new Int32Array(m)),t.makeTensorInfo([],"int32",new Int32Array([f]))]}var N$={kernelName:ki,backendName:"webgl",kernelFunc:V7};var G7=Tr.nonMaxSuppressionV5Impl;function j7(r){N.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");let{inputs:e,backend:t,attrs:n}=r,{boxes:o,scores:s}=e,{maxOutputSize:a,iouThreshold:i,scoreThreshold:l,softNmsSigma:u}=n,c=t.readSync(o.dataId),p=t.readSync(s.dataId),m=a,f=i,d=l,h=u,{selectedIndices:g,selectedScores:x}=G7(c,p,m,f,d,h);return[t.makeTensorInfo([g.length],"int32",new Int32Array(g)),t.makeTensorInfo([x.length],"float32",new Float32Array(x))]}var S$={kernelName:vi,backendName:"webgl",kernelFunc:j7};var Hv=class{constructor(e,t,n,o){this.variableNames=["indices"],this.outputShape=[e,t],this.userCode=` + void main() { + ivec2 coords = getOutputCoords(); + int index = round(getIndices(coords.x)); + setOutput(mix(float(${o}), float(${n}), + float(index == coords.y))); + } + `}};var W7=r=>{let{inputs:e,backend:t,attrs:n}=r,{indices:o}=e,{depth:s,onValue:a,offValue:i}=n,l=y.sizeFromShape(o.shape),u=new Hv(l,s,a,i),c=ce({inputs:{x:o},backend:t,attrs:{shape:[l]}}),p=t.runWebGLProgram(u,[c],o.dtype);t.disposeIntermediateTensorInfo(c);let m=[...o.shape,s],f=ce({inputs:{x:p},backend:t,attrs:{shape:m}});return t.disposeIntermediateTensorInfo(p),f},T$={kernelName:bo,backendName:"webgl",kernelFunc:W7};function Mf(r){let{inputs:e,backend:t}=r,{x:n}=e;if(n.dtype==="complex64"){let o=Va({inputs:{input:n},backend:t}),s=Mf({inputs:{x:o},backend:t}),a=nc({inputs:{input:n},backend:t}),i=Mf({inputs:{x:a},backend:t}),l=nn({inputs:{real:s,imag:i},backend:t});return t.disposeIntermediateTensorInfo(o),t.disposeIntermediateTensorInfo(s),t.disposeIntermediateTensorInfo(a),t.disposeIntermediateTensorInfo(i),l}else return Pf({attrs:{shape:n.shape,dtype:n.dtype,value:n.dtype==="string"?"":0},backend:t})}var E$={kernelName:_s,backendName:"webgl",kernelFunc:Mf};function A$(r){let{inputs:e,backend:t}=r,{x:n}=e;if(n.dtype==="string")throw new Error("onesLike is not supported under string dtype");if(n.dtype==="complex64"){let o=Va({inputs:{input:n},backend:t}),s=A$({inputs:{x:o},backend:t}),a=nc({inputs:{input:n},backend:t}),i=Mf({inputs:{x:a},backend:t}),l=nn({inputs:{real:s,imag:i},backend:t});return t.disposeIntermediateTensorInfo(o),t.disposeIntermediateTensorInfo(s),t.disposeIntermediateTensorInfo(a),t.disposeIntermediateTensorInfo(i),l}else return Pf({attrs:{shape:n.shape,dtype:n.dtype,value:1},backend:t})}var D$={kernelName:ds,backendName:"webgl",kernelFunc:A$};function U7(r){let{inputs:e,backend:t,attrs:n}=r,{axis:o}=n;if(e.length===1)return lx({inputs:{input:e[0]},backend:t,attrs:{dim:o}});let s=e[0].shape,a=e[0].dtype;e.forEach(c=>{y.assertShapesMatch(s,c.shape,"All tensors passed to stack must have matching shapes"),y.assert(a===c.dtype,()=>"All tensors passed to stack must have matching dtypes")});let i=[],l=e.map(c=>{let p=lx({inputs:{input:c},backend:t,attrs:{dim:o}});return i.push(p),p}),u=hv({inputs:l,backend:t,attrs:{axis:o}});return i.forEach(c=>t.disposeIntermediateTensorInfo(c)),u}var $$={kernelName:hs,backendName:"webgl",kernelFunc:U7};var Kv=class{constructor(e,t,n){this.variableNames=["x"],this.outputShape=t.map((u,c)=>u[0]+e[c]+u[1]);let o=e.length,s=Le(o),a=t.map(u=>u[0]).join(","),i=t.map((u,c)=>u[0]+e[c]).join(","),l=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,o);if(o===1){this.userCode=` + int start = ${a}; + int end = ${i}; + + void main() { + int outC = getOutputCoords(); + if (outC < start || outC >= end) { + setOutput(float(${n})); + } else { + setOutput(getX(outC - start)); + } + } + `;return}this.userCode=` + ${s} start = ${s}(${a}); + ${s} end = ${s}(${i}); + + void main() { + ${s} outC = getOutputCoords(); + if (any(lessThan(outC, start)) || any(greaterThanEqual(outC, end))) { + setOutput(float(${n})); + } else { + ${s} coords = outC - start; + setOutput(getX(${l})); + } + } + `}};var Xv=class{constructor(e,t,n){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t.map((h,g)=>h[0]+e[g]+h[1]);let o=e.length,s=Le(o),a=t.map(h=>h[0]).join(","),i=t.map((h,g)=>h[0]+e[g]).join(","),l=Wt("rc",o),u=Wt("source",o),c=`${l[o-1]} < ${this.outputShape[o-1]}`,p=o===1?"source":`vec2(${u.slice(-2).join()})`,m=[`${s} rc = outputLoc;`,`${l[o-1]} += 1; + if(${c}) { + `,o===1?"":`} + rc = outputLoc; + ${l[o-2]} += 1; + if(${l[o-2]} < ${this.outputShape[o-2]}) {`,o===1?"":` ${l[o-1]} += 1; + if(${c}) {`],f=o===1?"rc < start || rc >= end":"any(lessThan(rc, start)) || any(greaterThanEqual(rc, end))",d="";for(let h=0,g=o===1?2:4;h{let{inputs:e,backend:t,attrs:n}=r,{x:o}=e,{paddings:s,constantValue:a}=n,i=W().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new Xv(o.shape,s,a):new Kv(o.shape,s,a);return t.runWebGLProgram(i,[o],o.dtype)},R$={kernelName:wo,backendName:"webgl",kernelFunc:Yv};var q7=` + if(a < 0.0 && floor(b) < b){ + return NAN; + } + if (b == 0.0) { + return 1.0; + } + return (round(mod(b, 2.0)) != 1) ? + pow(abs(a), b) : sign(a) * pow(abs(a), b); +`,H7=` + // isModRound1 has 1 for components with round(mod(b, 2.0)) == 1, 0 otherwise. + vec4 isModRound1 = vec4(equal(round(mod(b, 2.0)), ivec4(1))); + vec4 multiplier = sign(a) * isModRound1 + (vec4(1.0) - isModRound1); + vec4 result = multiplier * pow(abs(a), b); + + // Ensure that a^0 = 1, including 0^0 = 1 as this correspond to TF and JS + bvec4 isExpZero = equal(b, vec4(0.0)); + result.r = isExpZero.r ? 1.0 : result.r; + result.g = isExpZero.g ? 1.0 : result.g; + result.b = isExpZero.b ? 1.0 : result.b; + result.a = isExpZero.a ? 1.0 : result.a; + + vec4 isNaN = vec4(lessThan(a, vec4(0.0))) * vec4(lessThan(floor(b), b)); + `+gl+` + return result; +`,K7=it({opSnippet:q7,packedOpSnippet:H7}),F$={kernelName:_o,backendName:"webgl",kernelFunc:K7};function X7(r){let{inputs:e,backend:t,attrs:n}=r,{x:o}=e,{axis:s,keepDims:a}=n,i=o.shape.length,l=[],u=y.parseAxisParam(s,o.shape),c=u,p=N.getAxesPermutation(c,i),m=o;p!=null&&(m=zt({inputs:{x:o},backend:t,attrs:{perm:p}}),c=N.getInnerMostAxes(c.length,i),l.push(m)),N.assertAxesAreInnerMostDims("prod",c,i);let f;if(t.shouldExecuteOnCPU([m])){let d=t.texData.get(m.dataId).values,{outVals:h,outShape:g,outDtype:x}=PA(m.shape,m.dtype,d,c);f=t.makeTensorInfo(g,x,h)}else{let[d,h]=N.computeOutAndReduceShapes(m.shape,c),g=y.sizeFromShape(h),x=ce({inputs:{x:m},backend:t,attrs:{shape:[-1,g]}}),b=gu(o.dtype),w=vn(x,b,"prod",t);f=ce({inputs:{x:w},backend:t,attrs:{shape:d}}),l.push(x),l.push(w)}if(a){l.push(f);let d=N.expandShapeToKeepDim(f.shape,u);f=ce({inputs:{x:f},backend:t,attrs:{shape:d}})}return l.forEach(d=>t.disposeIntermediateTensorInfo(d)),f}var O$={kernelName:Ci,backendName:"webgl",kernelFunc:X7};var Zv=r=>{let{backend:e,attrs:t}=r,{start:n,stop:o,step:s,dtype:a}=t,i=MA(n,o,s,a);return e.makeTensorInfo([i.length],a,i)},P$={kernelName:fa,backendName:"webgl",kernelFunc:Zv};var Y7="return 1.0 / x;",Z7=ve({opSnippet:Y7}),M$={kernelName:Ii,backendName:"webgl",kernelFunc:Z7};var J7=hr+` + return (x < 0.0) ? 0.0 : x; +`,Q7=` + vec4 result = x * vec4(greaterThanEqual(x, vec4(0.0))); + bvec4 isNaN = isnan(x); + + result.r = isNaN.r ? x.r : result.r; + result.g = isNaN.g ? x.g : result.g; + result.b = isNaN.b ? x.b : result.b; + result.a = isNaN.a ? x.a : result.a; + + return result; +`,eY=ve({opSnippet:J7,packedOpSnippet:Q7}),L$={kernelName:vo,backendName:"webgl",kernelFunc:eY};var tY=hr+` + return (x < 0.0) ? 0.0 : min(6.0, x); +`,rY=` + vec4 result = min(x, vec4(6.)) * vec4(greaterThanEqual(x, vec4(0.0))); + bvec4 isNaN = isnan(x); + + result.r = isNaN.r ? x.r : result.r; + result.g = isNaN.g ? x.g : result.g; + result.b = isNaN.b ? x.b : result.b; + result.a = isNaN.a ? x.a : result.a; + + return result; +`,nY=ve({opSnippet:tY,packedOpSnippet:rY}),z$={kernelName:Io,backendName:"webgl",kernelFunc:nY};var Jv=class{constructor(e,t,n,o,s){this.variableNames=["A"],this.outputShape=[];let[a,i,l,u]=e;this.outputShape=[a,t,n,u];let c=[o&&t>1?i-1:i,o&&n>1?l-1:l],p=[o&&t>1?t-1:t,o&&n>1?n-1:n],m;s?m="(vec2(yRC) + vec2(0.5)) * effectiveInputOverOutputRatioRC - vec2(0.5)":m="vec2(yRC) * effectiveInputOverOutputRatioRC",this.userCode=` + const vec2 effectiveInputOverOutputRatioRC = vec2( + ${c[0]/p[0]}, + ${c[1]/p[1]}); + const vec2 inputShapeRC = vec2(${i}.0, ${l}.0); + + void main() { + ivec4 coords = getOutputCoords(); + int b = coords[0]; + int d = coords[3]; + ivec2 yRC = coords.yz; + + // Fractional source index. + vec2 sourceFracIndexRC = ${m}; + + // Compute the four integer indices. + ivec2 sourceFloorRC = ivec2(max(sourceFracIndexRC, vec2(0.0))); + ivec2 sourceCeilRC = ivec2( + min(inputShapeRC - 1.0, ceil(sourceFracIndexRC))); + + float topLeft = getA(b, sourceFloorRC.x, sourceFloorRC.y, d); + float bottomLeft = getA(b, sourceCeilRC.x, sourceFloorRC.y, d); + float topRight = getA(b, sourceFloorRC.x, sourceCeilRC.y, d); + float bottomRight = getA(b, sourceCeilRC.x, sourceCeilRC.y, d); + + vec2 fracRC = sourceFracIndexRC - vec2(sourceFloorRC); + + float top = topLeft + (topRight - topLeft) * fracRC.y; + float bottom = bottomLeft + (bottomRight - bottomLeft) * fracRC.y; + float newValue = top + (bottom - top) * fracRC.x; + + setOutput(newValue); + } + `}};var Qv=class{constructor(e,t,n,o,s){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];let[a,i,l,u]=e;this.outputShape=[a,t,n,u];let c=[o&&t>1?i-1:i,o&&n>1?l-1:l],p=[o&&t>1?t-1:t,o&&n>1?n-1:n],m;s?m="(vec3(yRC) + vec3(0.5)) * effectiveInputOverOutputRatioRC - vec3(0.5)":m="vec3(yRC) * effectiveInputOverOutputRatioRC",this.userCode=` + const vec3 effectiveInputOverOutputRatioRC = vec3( + ${c[0]/p[0]}, + ${c[1]/p[1]}, + ${c[1]/p[1]}); + const vec3 inputShapeRC = vec3(${i}.0, ${l}.0, + ${l}.0); + + float getAValue(int b, int r, int c, int d) { + return getChannel(getA(b, r, c, d), vec2(c, d)); + } + + void main() { + ivec4 coords = getOutputCoords(); + int b = coords[0]; + int d = coords[3]; + // Calculate values for next column in yRC.z. + ivec3 yRC = coords.yzz + ivec3(0, 0, 1); + + // Fractional source index. + vec3 sourceFracIndexRC = ${m}; + + // Compute the four integer indices. + ivec3 sourceFloorRC = ivec3(max(sourceFracIndexRC, vec3(0.0))); + ivec3 sourceCeilRC = ivec3( + min(inputShapeRC - 1.0, ceil(sourceFracIndexRC))); + + // Should we calculate next column and row elements in 2x2 packed cell. + bool hasNextCol = d < ${u-1}; + bool hasNextRow = coords.z < ${n-1}; + + // In parallel, construct four corners for all four components in + // packed 2x2 cell. + vec4 topLeft = vec4( + getAValue(b, sourceFloorRC.x, sourceFloorRC.y, d), + hasNextCol ? getAValue(b, sourceFloorRC.x, sourceFloorRC.y, d + 1) + : 0.0, + hasNextRow ? getAValue(b, sourceFloorRC.x, sourceFloorRC.z, d) + : 0.0, + (hasNextRow && hasNextCol) ? + getAValue(b, sourceFloorRC.x, sourceFloorRC.z, d + 1) : 0.0); + + vec4 bottomLeft = vec4( + getAValue(b, sourceCeilRC.x, sourceFloorRC.y, d), + hasNextCol ? getAValue(b, sourceCeilRC.x, sourceFloorRC.y, d + 1) + : 0.0, + hasNextRow ? getAValue(b, sourceCeilRC.x, sourceFloorRC.z, d) + : 0.0, + (hasNextRow && hasNextCol) ? + getAValue(b, sourceCeilRC.x, sourceFloorRC.z, d + 1) : 0.0); + + vec4 topRight = vec4( + getAValue(b, sourceFloorRC.x, sourceCeilRC.y, d), + hasNextCol ? getAValue(b, sourceFloorRC.x, sourceCeilRC.y, d + 1) + : 0.0, + hasNextRow ? getAValue(b, sourceFloorRC.x, sourceCeilRC.z, d) + : 0.0, + (hasNextRow && hasNextCol) ? + getAValue(b, sourceFloorRC.x, sourceCeilRC.z, d + 1) : 0.0); + + vec4 bottomRight = vec4( + getAValue(b, sourceCeilRC.x, sourceCeilRC.y, d), + hasNextCol ? getAValue(b, sourceCeilRC.x, sourceCeilRC.y, d + 1) + : 0.0, + hasNextRow ? getAValue(b, sourceCeilRC.x, sourceCeilRC.z, d) + : 0.0, + (hasNextRow && hasNextCol) ? + getAValue(b, sourceCeilRC.x, sourceCeilRC.z, d + 1) : 0.0); + + vec3 fracRC = sourceFracIndexRC - vec3(sourceFloorRC); + + vec4 top = mix(topLeft, topRight, fracRC.yyzz); + vec4 bottom = mix(bottomLeft, bottomRight, fracRC.yyzz); + vec4 newValue = mix(top, bottom, fracRC.x); + + setOutput(newValue); + } + `}};function oY(r){let{inputs:e,backend:t,attrs:n}=r,{images:o}=e,{alignCorners:s,halfPixelCenters:a,size:i}=n,[l,u]=i,c=W().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new Qv(o.shape,l,u,s,a):new Jv(o.shape,l,u,s,a);return t.runWebGLProgram(c,[o],"float32")}var B$={kernelName:Co,backendName:"webgl",kernelFunc:oY};var e0=class{constructor(e,t,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=t;let[,o,s]=t,[,a,i]=e,l=[n&&a>1?o-1:o,n&&i>1?s-1:s],u=[n&&a>1?a-1:a,n&&i>1?i-1:i],c=l[0]/u[0],p=l[1]/u[1],m=1/c,f=1/p,d=Math.ceil(m)*2+2,h=Math.ceil(f)*2+2;this.userCode=` + void main() { + ivec4 coords = getOutputCoords(); + int b = coords[0]; + int d = coords[3]; + int r = coords[1]; + int c = coords[2]; + + float accumulator = 0.0; + + const float heightScale = float(${c}); + const float widthScale = float(${p}); + + const float invHeightScale = float(${m}); + const float invWidthScale = float(${f}); + + const int winHeight = int(${d}); + const int winWidth = int(${h}); + + // Compute bounds for where in dy we will look + float startRLerp = floor(float(r) * invHeightScale); + int startDyR = int(startRLerp - float(winHeight / 2)); + + float startCLerp = floor(float(c) * invWidthScale); + int startDyC = int(startCLerp - float(winWidth / 2)); + + // Loop over dy + for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) { + int dyR = dyROffset + startDyR; + + // Guard against the window exceeding the bounds of dy + if (dyR < 0 || dyR >= ${a}) { + continue; + } + + for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) { + int dyC = dyCOffset + startDyC; + + // Guard against the window exceeding the bounds of dy + if (dyC < 0 || dyC >= ${i}) { + continue; + } + + float dxR = float(dyR) * heightScale; + int topDxRIndex = int(floor(dxR)); + int bottomDxRIndex = int(min(ceil(dxR), ${o-1}.0)); + float dxRLerp = dxR - float(topDxRIndex); + float inverseDxRLerp = 1.0 - dxRLerp; + + float dxC = float(dyC) * widthScale; + int leftDxCIndex = int(floor(dxC)); + int rightDxCIndex = int(min(ceil(dxC), ${s-1}.0)); + float dxCLerp = dxC - float(leftDxCIndex); + float inverseDxCLerp = 1.0 - dxCLerp; + + if (r == topDxRIndex && c == leftDxCIndex) { + // topLeft + accumulator += + getDy(b, dyR, dyC, d) * inverseDxRLerp * inverseDxCLerp; + } + + if (r == topDxRIndex && c == rightDxCIndex) { + // topRight + accumulator += getDy(b, dyR, dyC, d) * inverseDxRLerp * dxCLerp; + } + + if (r == bottomDxRIndex && c == leftDxCIndex) { + // bottomLeft + accumulator += getDy(b, dyR, dyC, d) * dxRLerp * inverseDxCLerp; + } + + if (r == bottomDxRIndex && c == rightDxCIndex) { + // bottomRight + accumulator += getDy(b, dyR, dyC, d) * dxRLerp * dxCLerp; + } + } + } + // End loop over dy + + setOutput(accumulator); + } + `}};function sY(r){let{inputs:e,backend:t,attrs:n}=r,{images:o,dy:s}=e,{alignCorners:a}=n,i=new e0(s.shape,o.shape,a);return t.runWebGLProgram(i,[s],s.dtype)}var V$={kernelName:mu,backendName:"webgl",kernelFunc:sY};var t0=class{constructor(e,t,n,o,s){this.variableNames=["A"],this.outputShape=[];let[a,i,l,u]=e;this.outputShape=[a,t,n,u];let c=[o&&t>1?i-1:i,o&&n>1?l-1:l],p=[o&&t>1?t-1:t,o&&n>1?n-1:n],m=o?"0.5":"0.0",f;s?f="max((vec2(yRC) + vec2(0.5)) * effectiveInputOverOutputRatioRC, vec2(0.0))":f="vec2(yRC) * effectiveInputOverOutputRatioRC",this.userCode=` + const vec2 effectiveInputOverOutputRatioRC = vec2( + ${c[0]/p[0]}, + ${c[1]/p[1]}); + const vec2 inputShapeRC = vec2(${i}.0, ${l}.0); + + void main() { + ivec4 coords = getOutputCoords(); + int b = coords[0]; + int d = coords[3]; + ivec2 yRC = coords.yz; + + // Fractional source index. + vec2 sourceFracIndexRC = ${f}; + + // Compute the coordinators of nearest neighbor point. + ivec2 sourceNearestRC = ivec2( + min(inputShapeRC - 1.0, floor(sourceFracIndexRC + ${m}))); + float newValue = getA(b, sourceNearestRC.x, sourceNearestRC.y, d); + + setOutput(newValue); + } + `}};function iY(r){let{inputs:e,backend:t,attrs:n}=r,{images:o}=e,{alignCorners:s,halfPixelCenters:a,size:i}=n,[l,u]=i,c=new t0(o.shape,l,u,s,a);return t.runWebGLProgram(c,[o],o.dtype)}var G$={kernelName:da,backendName:"webgl",kernelFunc:iY};var r0=class{constructor(e,t,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=t;let[,o,s]=t,[,a,i]=e,l=[n&&a>1?o-1:o,n&&i>1?s-1:s],u=[n&&a>1?a-1:a,n&&i>1?i-1:i],c=l[0]/u[0],p=l[1]/u[1],m=1/c,f=1/p,d=Math.ceil(m)*2+2,h=Math.ceil(f)*2+2;this.userCode=` + void main() { + ivec4 coords = getOutputCoords(); + int b = coords[0]; + int d = coords[3]; + int r = coords[1]; + int c = coords[2]; + + float accumulator = 0.0; + + const float heightScale = float(${c}); + const float widthScale = float(${p}); + + const float invHeightScale = float(${m}); + const float invWidthScale = float(${f}); + + const int winHeight = int(${d}); + const int winWidth = int(${h}); + + // Compute bounds for where in dy we will look + float startRLerp = floor(float(r) * invHeightScale); + int startDyR = int(floor(startRLerp - float(winHeight / 2))); + + float startCLerp = floor(float(c) * invWidthScale); + int startDyC = int(floor(startCLerp - float(winWidth / 2))); + + // Loop over dy + for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) { + int dyR = dyROffset + startDyR; + + // Guard against the window exceeding the bounds of dy + if (dyR < 0 || dyR >= ${a}) { + continue; + } + + for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) { + int dyC = dyCOffset + startDyC; + + // Guard against the window exceeding the bounds of dy + if (dyC < 0 || dyC >= ${i}) { + continue; + } + + float sourceFracRow = + float(${l[0]}) * + (float(dyR) / float(${u[0]})); + + float sourceFracCol = + float(${l[1]}) * + (float(dyC) / float(${u[1]})); + + int sourceNearestRow = int(min( + float(int(${o}) - 1), + ${n} ? float(round(sourceFracRow)) : + float(floor(sourceFracRow)))); + + int sourceNearestCol = int(min( + float(int(${s}) - 1), + ${n} ? float(round(sourceFracCol)) : + float(floor(sourceFracCol)))); + + if (r == sourceNearestRow && c == sourceNearestCol) { + accumulator += getDy(b, dyR, dyC, d); + } + } + } + // End loop over dy + + setOutput(accumulator); + } + `}};function aY(r){let{inputs:e,backend:t,attrs:n}=r,{images:o,dy:s}=e,{alignCorners:a}=n,i=new r0(s.shape,o.shape,a);return t.runWebGLProgram(i,[s],s.dtype)}var j$={kernelName:pu,backendName:"webgl",kernelFunc:aY};var n0=class{constructor(e,t){this.variableNames=["x"];let n=e.length;if(n>4)throw new Error(`WebGL backend: Reverse of rank-${n} tensor is not yet supported`);if(this.outputShape=e,n===1){this.userCode=` + void main() { + int coord = getOutputCoords(); + setOutput(getX(${e[0]} - coord - 1)); + } + `;return}let o=i=>t.indexOf(i)!==-1&&e[i]!==1?`${e[i]} - coords[${i}] - 1`:`coords[${i}]`,s=e.map((i,l)=>o(l)).join(","),a=Le(n);this.userCode=` + void main() { + ${a} coords = getOutputCoords(); + setOutput(getX(${s})); + } + `}};var o0=class{constructor(e,t){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0;let n=e.length;if(n>4)throw new Error(`WebGL backend: Reverse of rank-${n} tensor is not yet supported`);this.outputShape=e;let o=Wt("rc",n),s=`${o[n-1]} + 1 < ${this.outputShape[n-1]}`,a=`${o[n-2]} + 1 < ${this.outputShape[n-2]}`,i=Le(n);n===1?this.userCode=` + void main(){ + int rc = getOutputCoords(); + vec4 result = vec4(0.); + result.r = getChannel(getX(${e[0]} - rc - 1), + ${e[0]} - rc - 1); + if(${s}){ + result.g = getChannel(getX(${e[0]} - (rc + 1) - 1), + ${e[0]} - (rc + 1) - 1); + } + setOutput(result); + } + `:this.userCode=` + void main() { + ${i} rc = getOutputCoords(); + vec4 result = vec4(0.); + result.r = ${l(o.slice())}; + if(${s}){ + result.g = ${u(o.slice())}; + } + if(${a}) { + result.b = ${c(o.slice())}; + if(${s}) { + result.a = ${p(o.slice())}; + } + } + setOutput(result); + } + `;function l(d){return m(d)}function u(d){return d[n-1]="("+d[n-1]+" + 1)",m(d)}function c(d){return d[n-2]="("+d[n-2]+" + 1)",m(d)}function p(d){return d[n-1]="("+d[n-1]+" + 1)",d[n-2]="("+d[n-2]+" + 1)",m(d)}function m(d){let h=e.map((b,w)=>f(w,d)),g=h.join(","),x=h.slice(-2).join(",");return`getChannel(getX(${g}), vec2(${x}))`}function f(d,h){return t.indexOf(d)!==-1&&e[d]!==1?`${e[d]} - ${h[d]} - 1`:`${h[d]}`}}};function lY(r){let{inputs:e,backend:t,attrs:n}=r,{x:o}=e,{dims:s}=n,a=o.shape.length,i=y.parseAxisParam(s,o.shape);if(a===0)return Ut({inputs:{x:o},backend:t});let l=W().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new o0(o.shape,i):new n0(o.shape,i);return t.runWebGLProgram(l,[o],o.dtype)}var W$={kernelName:No,backendName:"webgl",kernelFunc:lY};var s0=class{constructor(e,t,n,o){this.variableNames=["Image"],this.outputShape=[];let s=e[1],a=e[2],i=Math.sin(t).toFixed(3),l=Math.cos(t).toFixed(3);this.outputShape=e;let[u,c]=N.getImageCenter(o,s,a),p=u.toFixed(3),m=c.toFixed(3),f="";typeof n=="number"?f=`float outputValue = ${n.toFixed(2)};`:f=` + vec3 fill = vec3(${n.join(",")}); + float outputValue = fill[coords[3]];`,this.userCode=` + void main() { + ivec4 coords = getOutputCoords(); + int x = coords[2]; + int y = coords[1]; + float coordXFloat = (float(x) - ${p}) * ${l} - (float(y) - ${m}) * ${i}; + float coordYFloat = (float(x) - ${p}) * ${i} + (float(y) - ${m}) * ${l}; + int coordX = int(round(coordXFloat + ${p})); + int coordY = int(round(coordYFloat + ${m})); + ${f} + if(coordX >= 0 && coordX < ${a} && coordY >= 0 && coordY < ${s}) { + outputValue = getImage(coords[0], coordY, coordX, coords[3]); + } + setOutput(outputValue); + } + `}};var U$={kernelName:Fi,backendName:"webgl",kernelFunc:({inputs:r,attrs:e,backend:t})=>{let{image:n}=r,{radians:o,fillValue:s,center:a}=e,i=t,l=new s0(n.shape,o,s,a);return i.runWebGLProgram(l,[n],n.dtype)}};var uY=` + // OpenGL ES does not support round function. + // The algorithm is based on banker's rounding. + float base = floor(x); + if ((x - base) < 0.5) { + return floor(x); + } else if ((x - base) > 0.5) { + return ceil(x); + } else { + if (mod(base, 2.0) == 0.0) { + return base; + } else { + return base + 1.0; + } + } +`,cY=ve({opSnippet:uY}),q$={kernelName:So,backendName:"webgl",kernelFunc:cY};var pY="return inversesqrt(x);",mY=ve({opSnippet:pY,cpuKernelImpl:LA}),H$={kernelName:To,backendName:"webgl",kernelFunc:mY};var Lf=class{constructor(e,t,n,o,s,a,i=!0){this.variableNames=["updates","indices","defaultValue"],this.outputShape=a;let l=Le(s.length),u=Le(a.length),c="";n===1?c="i":n===2&&(c="i, j");let p=`getIndices(${c})`,m="";o===1?m="i":o===2&&(m="i, coords[1]");let f=`getUpdates(${m})`,d=t>1?"strides[j]":"strides";this.userCode=` + ${l} strides = ${l}(${s}); + + void main() { + ${u} coords = getOutputCoords(); + float sum = 0.0; + bool found = false; + for (int i = 0; i < ${e}; i++) { + int flattenedIndex = 0; + for (int j = 0; j < ${t}; j++) { + int index = round(${p}); + flattenedIndex += index * ${d}; + } + if (flattenedIndex == coords[0]) { + sum += ${f}; + found = true; + } + } + setOutput(mix(getDefaultValue(), sum, float(found))); + } + `}};function fY(r){let{inputs:e,backend:t,attrs:n}=r,{indices:o,updates:s}=e,{shape:a}=n,{sliceRank:i,numUpdates:l,sliceSize:u,strides:c,outputSize:p}=N.calculateShapes(s,o,a),m=[p/u,u];if(p===0)return t.makeTensorInfo(a,o.dtype);let f=ce({inputs:{x:o},backend:t,attrs:{shape:[l,i]}}),d=ce({inputs:{x:s},backend:t,attrs:{shape:[l,u]}}),h=t.makeTensorInfo([],"float32",new Float32Array([0])),g=new Lf(l,i,f.shape.length,d.shape.length,c,m),x=t.runWebGLProgram(g,[d,f,h],d.dtype),b=ce({inputs:{x},backend:t,attrs:{shape:a}});return t.disposeIntermediateTensorInfo(f),t.disposeIntermediateTensorInfo(d),t.disposeIntermediateTensorInfo(x),t.disposeIntermediateTensorInfo(h),b}var K$={kernelName:Ni,backendName:"webgl",kernelFunc:fY};var i0=class{constructor(e,t,n){this.variableNames=["c","a","b"],this.outputShape=t;let o,s;if(n>4)throw Error(`Where for rank ${n} is not yet supported`);if(n===1)s="resRC",o="resRC";else{let i=["resRC.x","resRC.y","resRC.z","resRC.w"],l=[],u=[];for(let c=0;c= 1.0) { + setOutput(getA(${s})); + } else { + setOutput(getB(${s})); + } + } + `}};function dY(r){let{inputs:e,backend:t}=r,{condition:n,t:o,e:s}=e,a=new i0(n.shape.length,o.shape,o.shape.length);return t.runWebGLProgram(a,[n,o,s],fr(o.dtype,s.dtype))}var X$={kernelName:xs,backendName:"webgl",kernelFunc:dY};var hY=` + // Stable and Attracting Fixed Point (0, 1) for Normalized Weights. + // see: https://arxiv.org/abs/1706.02515 + float scaleAlpha = ${N.SELU_SCALEALPHA}; + float scale = ${N.SELU_SCALE}; + return (x >= 0.0) ? scale * x : scaleAlpha * (exp(x) - 1.0); +`,gY=ve({opSnippet:hY}),Y$={kernelName:Si,backendName:"webgl",kernelFunc:gY};var xY="return 1.0 / (1.0 + exp(-1.0 * x));",yY=ve({opSnippet:xY}),Z$={kernelName:Ao,backendName:"webgl",kernelFunc:yY};var bY=` + if (isnan(x)) { return 0.0; } + return sign(x); +`,wY=ve({opSnippet:bY}),J$={kernelName:Ei,backendName:"webgl",kernelFunc:wY};var _Y=Qg+` + return sin(x); +`,kY=ve({opSnippet:_Y}),Q$={kernelName:Eo,backendName:"webgl",kernelFunc:kY};var vY=` + float e2x = exp(x); + return (e2x - 1.0 / e2x) / 2.0; +`,CY=ve({opSnippet:vY}),eR={kernelName:Ti,backendName:"webgl",kernelFunc:CY};var IY=` + float epsilon = 1.1920928955078125e-7; + float threshold = log(epsilon) + 2.0; + + bool too_large = x > -threshold; + bool too_small = x < threshold; + + float result; + float exp_x = exp(x); + + if (too_large){ + result = x; + } + else if (too_small){ + result = exp_x; + } + else{ + result = log(exp_x + 1.0); + } + return result; +`,NY=ve({opSnippet:IY}),tR={kernelName:Ai,backendName:"webgl",kernelFunc:NY};var SY=r=>{let{inputs:e,backend:t,attrs:n}=r,{x:o}=e,{blockShape:s,paddings:a}=n;y.assert(o.shape.length<=4,()=>"spaceToBatchND for rank > 4 with a WebGL backend not implemented yet");let i=s.reduce((x,b)=>x*b),l=[[0,0]];l.push(...a);for(let x=1+s.length;xt.disposeIntermediateTensorInfo(x)),g},rR={kernelName:ha,backendName:"webgl",kernelFunc:SY};function TY(r){let{inputs:e,backend:t,attrs:n}=r,{sparseIndices:o,sparseValues:s,defaultValue:a}=e,{outputShape:i}=n,{sliceRank:l,numUpdates:u,strides:c,outputSize:p}=N.calculateShapes(s,o,i),m=!1,f=new Lf(u,l,o.shape.length,s.shape.length,c,[p,1],m),d=t.runWebGLProgram(f,[s,o,a],s.dtype),h=ce({inputs:{x:d},backend:t,attrs:{shape:i}});return t.disposeIntermediateTensorInfo(d),h}var nR={kernelName:fu,backendName:"webgl",kernelFunc:TY};function EY(r){let{inputs:e,backend:t,attrs:n}=r,{x:o}=e,{numOrSizeSplits:s,axis:a}=n,i=y.parseAxisParam(a,o.shape)[0],l=N.prepareSplitSize(o,s,i),u=o.shape.length,c=new Array(u).fill(0),p=o.shape.slice();return 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begin[${c}]`)).join(",")}this.userCode=` + ${s} begin = ${s}(${e}); + ${s} strides = ${s}(${t}); + + void main() { + ${a} coords = getOutputCoords(); + setOutput(getX(${i})); + } + `}};function PY(r){let{inputs:e,backend:t,attrs:n}=r,{x:o}=e,{begin:s,end:a,strides:i,beginMask:l,endMask:u,ellipsisMask:c,newAxisMask:p,shrinkAxisMask:m}=n,{nonStrided:f,$begin:d,$strides:h,size:g,newShape:x,outShape:b}=or.sliceInfo(o.shape,s,a,i,l,u,c,p,m),w=ce({inputs:{x:o},backend:t,attrs:{shape:x}}),_;if(f){let E=Ba({inputs:{x:w},backend:t,attrs:{begin:d,size:g}});_=ce({inputs:{x:E},backend:t,attrs:{shape:b}}),t.disposeIntermediateTensorInfo(E)}else if(b.some(E=>E===0))_=t.makeTensorInfo(b,o.dtype,[]);else if(t.shouldExecuteOnCPU([w])){let R=t.texData.get(w.dataId).values,F=Ce(w.shape,w.dtype,R),L=BA(b,F,h,d);_=t.makeTensorInfo(b,w.dtype,L.values)}else{let S=new a0(d,h,b);_=t.runWebGLProgram(S,[w],w.dtype)}let k=ce({inputs:{x:_},backend:t,attrs:{shape:b}});return 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c0=class{constructor(e,t){this.variableNames=["x","segmentIds"];let n=e.windowSize,o=e.batchSize,s=e.inSize,a=e.numSegments,i=a*Math.ceil(s/n);this.outputShape=[o,i];let l="0.0",u="sumValue",c=Math.floor(n/4)*4,p=n%4,m=` + sumValue += dot(values, segFilter); + `,f="";s%n>0&&(f=` + if (inIdx < 0 || inIdx >= ${s}) { + return initializationValue; + } + `);let d="";s%n>0&&(d=` + if (inIdx < 0 || inIdx >= ${s}) { + return -1.0; + } + `),this.userCode=` + const float initializationValue = ${l}; + + float getValue(int batch, int inIdx) { + ${f} + return getX(batch, inIdx); + } + + float getSegmentIdAtIndex(int inIdx) { + ${d} + return getSegmentIds(inIdx); + } + + void main() { + ivec2 coords = getOutputCoords(); + int batch = coords[0]; + int outIdx = coords[1]; + int inOffset = int(floor(float(outIdx) / float( + ${a})) * float(${n})); + int currentSeg = int(mod(float(outIdx), float(${a}))); + + float sumValue = 0.0; + + for (int i = 0; i < ${c}; i += 4) { + int inIdx = inOffset + i; + vec4 values = vec4( + getValue(batch, inIdx), + getValue(batch, inIdx + 1), + getValue(batch, inIdx + 2), + getValue(batch, inIdx + 3) + ); + + vec4 segFilter = vec4( + int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0, + int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0, + int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0, + int(getSegmentIdAtIndex(inIdx + 3)) == currentSeg ? 1 : 0 + ); + + ${m} + } + + int inIdx = inOffset + ${c}; + if (${p===1}) { + vec4 values = vec4( + getValue(batch, inIdx), + initializationValue, + initializationValue, + initializationValue + ); + + int inIdxSeg = int(getSegmentIdAtIndex(inIdx)); + + vec4 segFilter = vec4( + int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0, + 0, + 0, + 0 + ); + + ${m} + } else if (${p===2}) { + vec4 values = vec4( + getValue(batch, inIdx), + getValue(batch, inIdx + 1), + initializationValue, + initializationValue + ); + + vec4 segFilter = vec4( + int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0, + int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0, + 0, + 0 + ); + + ${m} + } else if (${p===3}) { + vec4 values = vec4( + getValue(batch, inIdx), + getValue(batch, inIdx + 1), + getValue(batch, inIdx + 2), + initializationValue + ); + + vec4 segFilter = vec4( + int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0, + int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0, + int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0, + 0 + ); + + ${m} + } + setOutput(${u}); + } + `}};function UY(r){let{inputs:e,backend:t,attrs:n}=r,{x:o,segmentIds:s}=e,{numSegments:a}=n,i=o.shape.length,l=[],u=0,c=N.getAxesPermutation([u],i),p=o;c!=null&&(p=zt({inputs:{x:o},backend:t,attrs:{perm:c}}),l.push(p),u=N.getInnerMostAxes(1,i)[0]);let m=N.segment_util.computeOutShape(p.shape,u,a),f=y.sizeFromShape([p.shape[u]]),d=ce({inputs:{x:p},backend:t,attrs:{shape:[-1,f]}});l.push(d);let h=gu(o.dtype),g=(_,k,E,S,R)=>{let 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bR={kernelName:ks,backendName:"wasm",setupFunc:HY,kernelFunc:KY};function At(r){let e;function t(o){e=o.wasm.cwrap(r,null,["number","number"])}function n(o){let{backend:s,inputs:{x:a}}=o,i=s.dataIdMap.get(a.dataId).id,l=s.makeOutput(a.shape,a.dtype),u=s.dataIdMap.get(l.dataId).id;return y.sizeFromShape(l.shape)===0||e(i,u),l}return{kernelName:r,backendName:"wasm",setupFunc:t,kernelFunc:n}}var wR=At(us);function bt(r,e,t){let n;function o(a){n=a.wasm.cwrap(r,null,["number","array","number","number","array","number","number","number"])}function s(a){let{backend:i,inputs:l}=a,{a:u,b:c}=l,p=i.dataIdMap.get(u.dataId).id,m=i.dataIdMap.get(c.dataId).id,f=t!=null?t:u.dtype,d=N.assertAndGetBroadcastShape(u.shape,c.shape),h=i.makeOutput(d,f);if(y.sizeFromShape(d)===0)return h;let g=new Uint8Array(new Int32Array(u.shape).buffer),x=new Uint8Array(new 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Me{constructor(e){super(e==null?{}:e);if(this.DEFAULT_ALPHA_INITIALIZER="zeros",e==null&&(e={}),this.supportsMasking=!0,this.alphaInitializer=dt(e.alphaInitializer||this.DEFAULT_ALPHA_INITIALIZER),this.alphaRegularizer=_t(e.alphaRegularizer),this.alphaConstraint=Lt(e.alphaConstraint),e.sharedAxes==null)this.sharedAxes=null;else if(Array.isArray(e.sharedAxes))this.sharedAxes=e.sharedAxes;else if(typeof e.sharedAxes=="number")this.sharedAxes=[e.sharedAxes];else throw new B(`Expected sharedAxes to be a number or an array of numbers, but got ${e.sharedAxes}`)}build(e){e=et(e);let t=e.slice(1);if(this.sharedAxes!=null)for(let o of this.sharedAxes)t[o-1]=1;this.alpha=this.addWeight("alpha",t,"float32",this.alphaInitializer,this.alphaRegularizer,!0,this.alphaConstraint);let n={};if(this.sharedAxes!=null)for(let o=1;o(Ft(e),e==="channelsFirst"?We(r,[0,2,3,1]):r))}function sC(r,e){return V(()=>(Ft(e),e==="channelsFirst"?We(r,[0,2,3,4,1]):r))}function EQ(r,e,t,n=1,o="valid",s,a=1){return V(()=>{if(s==null&&(s=Kr()),Ft(s),r.shape.length!==3)throw new B(`The input of a conv1dWithBias operation should be 3, but is ${r.shape.length} instead.`);if(e.shape.length!==3)throw new B(`The kernel for a conv1dWithBias operation should be 3, but is ${e.shape.length} instead`);if(t!=null&&t.shape.length!==1)throw new B(`The bias for a conv1dWithBias operation should be 1, but is ${e.shape.length} instead`);if(s==="channelsFirst"&&(r=We(r,[0,2,1])),o==="causal")throw new Se("The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.");let i=Cu(r,e,n,o==="same"?"same":"valid","NWC",a);return t!=null&&(i=on(i,t)),i})}function qL(r,e,t,n=[1,1],o="valid",s,a,i=null){return V(()=>{if(s==null&&(s=Kr()),Ft(s),r.rank!==3&&r.rank!==4)throw new B(`conv2dWithBiasActivation expects input to be of rank 3 or 4, but received ${r.rank}.`);if(e.rank!==3&&e.rank!==4)throw new B(`conv2dWithBiasActivation expects kernel to be of rank 3 or 4, but received ${r.rank}.`);let l=wd(r,s);if(o==="causal")throw new Se("The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.");return l=jo.conv2d({x:l,filter:e,strides:n,pad:o==="same"?"same":"valid",dilations:a,dataFormat:"NHWC",bias:t,activation:i}),s==="channelsFirst"&&(l=We(l,[0,3,1,2])),l})}function AQ(r,e,t,n=[1,1,1],o="valid",s,a){return V(()=>{if(s==null&&(s=Kr()),Ft(s),r.rank!==4&&r.rank!==5)throw new B(`conv3dWithBias expects input to be of rank 4 or 5, but received ${r.rank}.`);if(e.rank!==4&&e.rank!==5)throw new B(`conv3dWithBias expects kernel to be of rank 4 or 5, but received ${r.rank}.`);let i=sC(r,s);if(o==="causal")throw new Se("The support for CAUSAL padding mode in conv3dWithBias is not implemented yet.");return i=Bm(i,e,n,o==="same"?"same":"valid","NDHWC",a),t!=null&&(i=on(i,t)),s==="channelsFirst"&&(i=We(i,[0,4,1,2,3])),i})}var Hp=class extends Me{constructor(e,t){super(t);if(this.bias=null,this.DEFAULT_KERNEL_INITIALIZER="glorotNormal",this.DEFAULT_BIAS_INITIALIZER="zeros",Hp.verifyArgs(t),this.rank=e,qt(this.rank,"rank"),this.rank!==1&&this.rank!==2&&this.rank!==3)throw new Se(`Convolution layer for rank other than 1, 2, or 3 (${this.rank}) is not implemented yet.`);if(this.kernelSize=Nl(t.kernelSize,e,"kernelSize"),this.strides=Nl(t.strides==null?1:t.strides,e,"strides"),this.padding=t.padding==null?"valid":t.padding,Xr(this.padding),this.dataFormat=t.dataFormat==null?"channelsLast":t.dataFormat,Ft(this.dataFormat),this.activation=Gs(t.activation),this.useBias=t.useBias==null?!0:t.useBias,this.biasInitializer=dt(t.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.biasConstraint=Lt(t.biasConstraint),this.biasRegularizer=_t(t.biasRegularizer),this.activityRegularizer=_t(t.activityRegularizer),this.dilationRate=Nl(t.dilationRate==null?1:t.dilationRate,e,"dilationRate"),this.rank===1&&Array.isArray(this.dilationRate)&&this.dilationRate.length!==1)throw new B(`dilationRate must be a number or an array of a single number for 1D convolution, but received ${JSON.stringify(this.dilationRate)}`);if(this.rank===2){if(typeof this.dilationRate=="number")this.dilationRate=[this.dilationRate,this.dilationRate];else if(this.dilationRate.length!==2)throw new B(`dilationRate must be a number or array of two numbers for 2D convolution, but received ${JSON.stringify(this.dilationRate)}`)}else if(this.rank===3){if(typeof this.dilationRate=="number")this.dilationRate=[this.dilationRate,this.dilationRate,this.dilationRate];else if(this.dilationRate.length!==3)throw new B(`dilationRate must be a number or array of three numbers for 3D convolution, but received ${JSON.stringify(this.dilationRate)}`)}}static verifyArgs(e){if(Bn("kernelSize"in e,"required key 'kernelSize' not in config"),typeof e.kernelSize!="number"&&!yx(e.kernelSize,"number",1,3))throw new B(`BaseConv expects config.kernelSize to be number or number[] with length 1, 2, or 3, but received ${JSON.stringify(e.kernelSize)}.`)}getConfig(){let e={kernelSize:this.kernelSize,strides:this.strides,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,activation:Vs(this.activation),useBias:this.useBias,biasInitializer:Nt(this.biasInitializer),biasRegularizer:lt(this.biasRegularizer),activityRegularizer:lt(this.activityRegularizer),biasConstraint:Mt(this.biasConstraint)},t=super.getConfig();return Object.assign(e,t),e}},hc=class extends Hp{constructor(e,t){super(e,t);this.kernel=null,hc.verifyArgs(t),this.filters=t.filters,qt(this.filters,"filters"),this.kernelInitializer=dt(t.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.kernelConstraint=Lt(t.kernelConstraint),this.kernelRegularizer=_t(t.kernelRegularizer)}build(e){e=et(e);let t=this.dataFormat==="channelsFirst"?1:e.length-1;if(e[t]==null)throw new B(`The channel dimension of the input should be defined. Found ${e[t]}`);let n=e[t],o=this.kernelSize.concat([n,this.filters]);this.kernel=this.addWeight("kernel",o,null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.filters],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[{ndim:this.rank+2,axes:{[t]:n}}],this.built=!0}call(e,t){return V(()=>{e=Oe(e);let n,o=this.bias==null?null:this.bias.read(),s=bx(this.activation.getClassName());if(s!=null&&this.rank===2)n=qL(e,this.kernel.read(),o,this.strides,this.padding,this.dataFormat,this.dilationRate,s);else{if(this.rank===1)n=EQ(e,this.kernel.read(),o,this.strides[0],this.padding,this.dataFormat,this.dilationRate[0]);else if(this.rank===2)n=qL(e,this.kernel.read(),o,this.strides,this.padding,this.dataFormat,this.dilationRate);else if(this.rank===3)n=AQ(e,this.kernel.read(),o,this.strides,this.padding,this.dataFormat,this.dilationRate);else throw new Se("convolutions greater than 3D are not implemented yet.");this.activation!=null&&(n=this.activation.apply(n))}return n})}computeOutputShape(e){e=et(e);let t=[],n=this.dataFormat==="channelsLast"?e.slice(1,e.length-1):e.slice(2);for(let s=0;s 0 but got ${JSON.stringify(e.filters)}`)}},Sl=class extends hc{constructor(e){super(2,e);Sl.verifyArgs(e)}getConfig(){let e=super.getConfig();return delete e.rank,e}static verifyArgs(e){if(typeof e.kernelSize!="number"&&!yx(e.kernelSize,"number",1,2))throw new B(`Conv2D expects config.kernelSize to be number or number[] with length 1 or 2, but received ${JSON.stringify(e.kernelSize)}.`)}};Sl.className="Conv2D";J.registerClass(Sl);var gc=class extends hc{constructor(e){super(3,e);gc.verifyArgs(e)}getConfig(){let e=super.getConfig();return delete e.rank,e}static verifyArgs(e){if(typeof e.kernelSize!="number"&&!(Array.isArray(e.kernelSize)&&(e.kernelSize.length===1||e.kernelSize.length===3)))throw new B(`Conv3D expects config.kernelSize to be number or [number, number, number], but received ${JSON.stringify(e.kernelSize)}.`)}};gc.className="Conv3D";J.registerClass(gc);var _d=class extends Sl{constructor(e){super(e);if(this.inputSpec=[new Dt({ndim:4})],this.padding!=="same"&&this.padding!=="valid")throw new B(`Conv2DTranspose currently supports only padding modes 'same' and 'valid', but received padding mode ${this.padding}`)}build(e){if(e=et(e),e.length!==4)throw new B("Input should have rank 4; Received input shape: "+JSON.stringify(e));let t=this.dataFormat==="channelsFirst"?1:e.length-1;if(e[t]==null)throw new B("The channel dimension of the inputs should be defined. Found `None`.");let n=e[t],o=this.kernelSize.concat([this.filters,n]);this.kernel=this.addWeight("kernel",o,"float32",this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.filters],"float32",this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[new Dt({ndim:4,axes:{[t]:n}})],this.built=!0}call(e,t){return V(()=>{let n=Oe(e);if(n.shape.length!==4)throw new B(`Conv2DTranspose.call() expects input tensor to be rank-4, but received a tensor of rank-${n.shape.length}`);let o=n.shape,s=o[0],a,i;this.dataFormat==="channelsFirst"?(a=2,i=3):(a=1,i=2);let l=o[a],u=o[i],c=this.kernelSize[0],p=this.kernelSize[1],m=this.strides[0],f=this.strides[1],d=bd(l,m,c,this.padding),h=bd(u,f,p,this.padding),g=[s,d,h,this.filters];this.dataFormat!=="channelsLast"&&(n=We(n,[0,2,3,1]));let x=Iu(n,this.kernel.read(),g,this.strides,this.padding);return this.dataFormat!=="channelsLast"&&(x=We(x,[0,3,1,2])),this.bias!=null&&(x=on(x,this.bias.read(),this.dataFormat)),this.activation!=null&&(x=this.activation.apply(x)),x})}computeOutputShape(e){e=et(e);let t=e.slice(),n,o,s;this.dataFormat==="channelsFirst"?(n=1,o=2,s=3):(n=3,o=1,s=2);let a=this.kernelSize[0],i=this.kernelSize[1],l=this.strides[0],u=this.strides[1];return t[n]=this.filters,t[o]=bd(t[o],l,a,this.padding),t[s]=bd(t[s],u,i,this.padding),t}getConfig(){let e=super.getConfig();return delete e.dilationRate,e}};_d.className="Conv2DTranspose";J.registerClass(_d);var iC=class extends hc{constructor(e,t){super(e,t);if(this.DEFAULT_DEPTHWISE_INITIALIZER="glorotUniform",this.DEFAULT_POINTWISE_INITIALIZER="glorotUniform",this.depthwiseKernel=null,this.pointwiseKernel=null,t.filters==null)throw new B("The `filters` configuration field is required by SeparableConv, but is unspecified.");if(t.kernelInitializer!=null||t.kernelRegularizer!=null||t.kernelConstraint!=null)throw new B("Fields kernelInitializer, kernelRegularizer and kernelConstraint are invalid for SeparableConv2D. Use depthwiseInitializer, depthwiseRegularizer, depthwiseConstraint, pointwiseInitializer, pointwiseRegularizer and pointwiseConstraint instead.");if(t.padding!=null&&t.padding!=="same"&&t.padding!=="valid")throw new B(`SeparableConv${this.rank}D supports only padding modes: 'same' and 'valid', but received ${JSON.stringify(t.padding)}`);this.depthMultiplier=t.depthMultiplier==null?1:t.depthMultiplier,this.depthwiseInitializer=dt(t.depthwiseInitializer||this.DEFAULT_DEPTHWISE_INITIALIZER),this.depthwiseRegularizer=_t(t.depthwiseRegularizer),this.depthwiseConstraint=Lt(t.depthwiseConstraint),this.pointwiseInitializer=dt(t.depthwiseInitializer||this.DEFAULT_POINTWISE_INITIALIZER),this.pointwiseRegularizer=_t(t.pointwiseRegularizer),this.pointwiseConstraint=Lt(t.pointwiseConstraint)}build(e){if(e=et(e),e.length{e=Oe(e);let n;if(this.rank===1)throw new Se("1D separable convolution is not implemented yet.");return this.rank===2&&(this.dataFormat==="channelsFirst"&&(e=We(e,[0,2,3,1])),n=ef(e,this.depthwiseKernel.read(),this.pointwiseKernel.read(),this.strides,this.padding,this.dilationRate,"NHWC")),this.useBias&&(n=on(n,this.bias.read(),this.dataFormat)),this.activation!=null&&(n=this.activation.apply(n)),this.dataFormat==="channelsFirst"&&(n=We(n,[0,3,1,2])),n})}getConfig(){let e=super.getConfig();return delete e.rank,delete e.kernelInitializer,delete e.kernelRegularizer,delete e.kernelConstraint,e.depthwiseInitializer=Nt(this.depthwiseInitializer),e.pointwiseInitializer=Nt(this.pointwiseInitializer),e.depthwiseRegularizer=lt(this.depthwiseRegularizer),e.pointwiseRegularizer=lt(this.pointwiseRegularizer),e.depthwiseConstraint=Mt(this.depthwiseConstraint),e.pointwiseConstraint=Mt(this.pointwiseConstraint),e}};iC.className="SeparableConv";var kd=class extends iC{constructor(e){super(2,e)}};kd.className="SeparableConv2D";J.registerClass(kd);var xc=class extends hc{constructor(e){super(1,e);xc.verifyArgs(e),this.inputSpec=[{ndim:3}]}getConfig(){let e=super.getConfig();return delete e.rank,delete e.dataFormat,e}static verifyArgs(e){if(typeof e.kernelSize!="number"&&!yx(e.kernelSize,"number",1,1))throw new B(`Conv1D expects config.kernelSize to be number or number[] with length 1, but received ${JSON.stringify(e.kernelSize)}.`)}};xc.className="Conv1D";J.registerClass(xc);var vd=class extends Me{constructor(e){super(e);typeof e.cropping=="number"?this.cropping=[[e.cropping,e.cropping],[e.cropping,e.cropping]]:typeof e.cropping[0]=="number"?this.cropping=[[e.cropping[0],e.cropping[0]],[e.cropping[1],e.cropping[1]]]:this.cropping=e.cropping,this.dataFormat=e.dataFormat===void 0?"channelsLast":e.dataFormat,this.inputSpec=[{ndim:4}]}computeOutputShape(e){return this.dataFormat==="channelsFirst"?[e[0],e[1],e[2]-this.cropping[0][0]-this.cropping[0][1],e[3]-this.cropping[1][0]-this.cropping[1][1]]:[e[0],e[1]-this.cropping[0][0]-this.cropping[0][1],e[2]-this.cropping[1][0]-this.cropping[1][1],e[3]]}call(e,t){return V(()=>{if(e=Oe(e),this.dataFormat==="channelsLast"){let n=Xf(e,this.cropping[0][0],e.shape[1]-this.cropping[0][0]-this.cropping[0][1],2);return Xf(n,this.cropping[1][0],e.shape[2]-this.cropping[1][1]-this.cropping[1][0],3)}else{let n=Xf(e,this.cropping[0][0],e.shape[2]-this.cropping[0][0]-this.cropping[0][1],3);return Xf(n,this.cropping[1][0],e.shape[3]-this.cropping[1][1]-this.cropping[1][0],4)}})}getConfig(){let e={cropping:this.cropping,dataFormat:this.dataFormat},t=super.getConfig();return Object.assign(e,t),e}};vd.className="Cropping2D";J.registerClass(vd);var Cd=class extends Me{constructor(e){super(e);this.DEFAULT_SIZE=[2,2],this.inputSpec=[{ndim:4}],this.size=e.size==null?this.DEFAULT_SIZE:e.size,this.dataFormat=e.dataFormat==null?"channelsLast":e.dataFormat,Ft(this.dataFormat),this.interpolation=e.interpolation==null?"nearest":e.interpolation,QM(this.interpolation)}computeOutputShape(e){if(this.dataFormat==="channelsFirst"){let t=e[2]==null?null:this.size[0]*e[2],n=e[3]==null?null:this.size[1]*e[3];return[e[0],e[1],t,n]}else{let t=e[1]==null?null:this.size[0]*e[1],n=e[2]==null?null:this.size[1]*e[2];return[e[0],t,n,e[3]]}}call(e,t){return V(()=>{let n=Oe(e),o=n.shape;if(this.dataFormat==="channelsFirst"){n=We(n,[0,2,3,1]);let s=this.size[0]*o[2],a=this.size[1]*o[3],i=this.interpolation==="nearest"?n.resizeNearestNeighbor([s,a]):n.resizeBilinear([s,a]);return We(i,[0,3,1,2])}else{let s=this.size[0]*o[1],a=this.size[1]*o[2];return this.interpolation==="nearest"?n.resizeNearestNeighbor([s,a]):n.resizeBilinear([s,a])}})}getConfig(){let e={size:this.size,dataFormat:this.dataFormat},t=super.getConfig();return Object.assign(e,t),e}};Cd.className="UpSampling2D";J.registerClass(Cd);function DQ(r,e,t=[1,1],n="valid",o,s){return V(()=>{o==null&&(o=Kr()),Ft(o);let a=wd(r,o);if(r.rank!==4)throw new B(`Input for depthwiseConv2d is required to be 4-D, but is instead ${r.rank}-D`);if(e.rank!==4)throw new B(`depthwiseKernel is required to be 4-D, but is instead ${e.rank}-D`);return a=Ns(a,e,t,n==="same"?"same":"valid","NHWC",s),o==="channelsFirst"&&(a=We(a,[0,3,1,2])),a})}var Id=class extends Hp{constructor(e){super(2,e);this.depthwiseKernel=null,this.depthMultiplier=e.depthMultiplier==null?1:e.depthMultiplier,this.depthwiseInitializer=dt(e.depthwiseInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.depthwiseConstraint=Lt(e.depthwiseConstraint),this.depthwiseRegularizer=_t(e.depthwiseRegularizer)}build(e){if(e=et(e),e.length<4)throw new B(`Inputs to DepthwiseConv2D should have rank 4. Received input shape: ${JSON.stringify(e)}.`);let t=this.dataFormat==="channelsFirst"?1:3;if(e[t]==null||e[t]<0)throw new B(`The channel dimension of the inputs to DepthwiseConv2D should be defined, but is not (${e[t]}).`);let n=e[t],o=[this.kernelSize[0],this.kernelSize[1],n,this.depthMultiplier];this.depthwiseKernel=this.addWeight("depthwise_kernel",o,null,this.depthwiseInitializer,this.depthwiseRegularizer,!0,this.depthwiseConstraint),this.useBias?this.bias=this.addWeight("bias",[n*this.depthMultiplier],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0}call(e,t){return V(()=>{e=Oe(e);let n=DQ(e,this.depthwiseKernel.read(),this.strides,this.padding,this.dataFormat,null);return this.useBias&&(n=on(n,this.bias.read(),this.dataFormat)),this.activation!=null&&(n=this.activation.apply(n)),n})}computeOutputShape(e){e=et(e);let t=this.dataFormat==="channelsFirst"?e[2]:e[1],n=this.dataFormat==="channelsFirst"?e[3]:e[2],o=this.dataFormat==="channelsFirst"?e[1]*this.depthMultiplier:e[3]*this.depthMultiplier,s=un(t,this.kernelSize[0],this.padding,this.strides[0]),a=un(n,this.kernelSize[1],this.padding,this.strides[1]);return this.dataFormat==="channelsFirst"?[e[0],o,s,a]:[e[0],s,a,o]}getConfig(){let e=super.getConfig();return e.depthMultiplier=this.depthMultiplier,e.depthwiseInitializer=Nt(this.depthwiseInitializer),e.depthwiseRegularizer=lt(this.depthwiseRegularizer),e.depthwiseConstraint=Mt(this.depthwiseRegularizer),e}};Id.className="DepthwiseConv2D";J.registerClass(Id);function aC(r,e,t,n){if(Array.isArray(r)){if(e!=null||t!=null)throw new B("When inputs is an array, neither initialState or constants should be provided");n!=null&&(t=r.slice(r.length-n,r.length),r=r.slice(0,r.length-n)),r.length>1&&(e=r.slice(1,r.length)),r=r[0]}function o(s){return s==null||Array.isArray(s)?s:[s]}return e=o(e),t=o(t),{inputs:r,initialState:e,constants:t}}function lC(r,e,t,n=!1,o,s,a=!1,i=!1){return V(()=>{let l=e.shape.length;if(l<3)throw new B(`Input should be at least 3D, but is ${l}D.`);let u=[1,0].concat(Lr(2,l));if(e=We(e,u),s!=null)throw new Se("The rnn() functoin of the deeplearn.js backend does not support constants yet.");a&&console.warn("Backend rnn(): the unroll = true option is not applicable to the imperative deeplearn.js backend."),o!=null&&(o=o.asType("bool").asType("float32"),o.rank===l-1&&(o=ir(o,-1)),o=We(o,u)),n&&(e=Kt(e,0),o!=null&&(o=Kt(o,0)));let c=[],p,m=t,f=e.shape[0],d=cr(e),h;o!=null&&(h=cr(o));for(let x=0;xr(b,m));if(o==null)p=w[0],m=w[1];else{let _=V(()=>{let k=h[x],E=tr(k).sub(k),S=w[0].mul(k).add(m[0].mul(E)),R=m.map((F,L)=>w[1][L].mul(k).add(F.mul(E)));return{output:S,newStates:R}});p=_.output,m=_.newStates}i&&c.push(p)}let g;return i&&(g=Vt(c,1)),[p,g,m]})}var cn=class extends Me{constructor(e){super(e);let t;if(e.cell==null)throw new B("cell property is missing for the constructor of RNN.");if(Array.isArray(e.cell)?t=new Kp({cells:e.cell}):t=e.cell,t.stateSize==null)throw new B("The RNN cell should have an attribute `stateSize` (tuple of integers, one integer per RNN state).");this.cell=t,this.returnSequences=e.returnSequences==null?!1:e.returnSequences,this.returnState=e.returnState==null?!1:e.returnState,this.goBackwards=e.goBackwards==null?!1:e.goBackwards,this._stateful=e.stateful==null?!1:e.stateful,this.unroll=e.unroll==null?!1:e.unroll,this.supportsMasking=!0,this.inputSpec=[new Dt({ndim:3})],this.stateSpec=null,this.states_=null,this.numConstants=null,this.keptStates=[]}getStates(){if(this.states_==null){let e=Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1;return Lr(0,e).map(t=>null)}else return this.states_}setStates(e){this.states_=e}computeOutputShape(e){Sx(e)&&(e=e[0]),e=e;let t=this.cell.stateSize;Array.isArray(t)||(t=[t]);let n=t[0],o;if(this.returnSequences?o=[e[0],e[1],n]:o=[e[0],n],this.returnState){let s=[];for(let a of t)s.push([e[0],a]);return[o].concat(s)}else return o}computeMask(e,t){return V(()=>{Array.isArray(t)&&(t=t[0]);let n=this.returnSequences?t:null;if(this.returnState){let o=this.states.map(s=>null);return[n].concat(o)}else return n})}get states(){if(this.states_==null){let e=Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1,t=[];for(let n=0;ni.shape[i.shape.length-1]),a))throw new B(`An initialState was passed that is not compatible with cell.stateSize. Received stateSpec=${this.stateSpec}; However cell.stateSize is ${this.cell.stateSize}`)}else this.stateSpec=a.map(i=>new Dt({shape:[null,i]}));this.stateful&&this.resetStates()}resetStates(e,t=!1){V(()=>{if(!this.stateful)throw new Cn("Cannot call resetStates() on an RNN Layer that is not stateful.");let n=this.inputSpec[0].shape[0];if(n==null)throw new B("If an RNN is stateful, it needs to know its batch size. Specify the batch size of your input tensors: \n- If using a Sequential model, specify the batch size by passing a `batchInputShape` option to your first layer.\n- If using the functional API, specify the batch size by passing a `batchShape` option to your Input layer.");if(this.states_==null)Array.isArray(this.cell.stateSize)?this.states_=this.cell.stateSize.map(o=>xt([n,o])):this.states_=[xt([n,this.cell.stateSize])];else if(e==null)Ee(this.states_),this.keptStates!=null&&(Ee(this.keptStates),this.keptStates=[]),Array.isArray(this.cell.stateSize)?this.states_=this.cell.stateSize.map(o=>xt([n,o])):this.states_[0]=xt([n,this.cell.stateSize]);else{if(Array.isArray(e)||(e=[e]),e.length!==this.states_.length)throw new B(`Layer ${this.name} expects ${this.states_.length} state(s), but it received ${e.length} state value(s). Input received: ${e}`);t===!0?this.keptStates.push(this.states_.slice()):Ee(this.states_);for(let o=0;o$t(o.clone()))})}apply(e,t){let n=t==null?null:t.initialState,o=t==null?null:t.constants;t==null&&(t={});let s=aC(e,n,o,this.numConstants);e=s.inputs,n=s.initialState,o=s.constants;let a=[],i=[];if(n!=null){t.initialState=n,a=a.concat(n),this.stateSpec=[];for(let u of n)this.stateSpec.push(new Dt({shape:u.shape}));i=i.concat(this.stateSpec)}if(o!=null&&(t.constants=o,a=a.concat(o),this.numConstants=o.length),a[0]instanceof Br){let u=[e].concat(a),c=this.inputSpec.concat(i),p=this.inputSpec;this.inputSpec=c;let m=super.apply(u,t);return this.inputSpec=p,m}else return super.apply(e,t)}call(e,t){return V(()=>{let n=t==null?null:t.mask,o=t==null?null:t.training,s=t==null?null:t.initialState;e=Oe(e),s==null&&(this.stateful?s=this.states_:s=this.getInitialState(e));let a=Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1;if(s.length!==a)throw new B(`RNN Layer has ${a} state(s) but was passed ${s.length} initial state(s).`);this.unroll&&console.warn("Ignoring unroll = true for RNN layer, due to imperative backend.");let i={training:o},u=lC((d,h)=>{let g=this.cell.call([d].concat(h),i);return[g[0],g.slice(1)]},e,s,this.goBackwards,n,null,this.unroll,this.returnSequences),c=u[0],p=u[1],m=u[2];this.stateful&&this.resetStates(m,o);let f=this.returnSequences?p:c;return this.returnState?[f].concat(m):f})}getInitialState(e){return V(()=>{let t=xt(e.shape);return t=ye(t,[1,2]),t=Wa(t),Array.isArray(this.cell.stateSize)?this.cell.stateSize.map(n=>n>1?kx(t,[1,n]):t):this.cell.stateSize>1?[kx(t,[1,this.cell.stateSize])]:[t]})}get trainableWeights(){return this.trainable?this.cell.trainableWeights:[]}get nonTrainableWeights(){return this.trainable?this.cell.nonTrainableWeights:this.cell.weights}setFastWeightInitDuringBuild(e){super.setFastWeightInitDuringBuild(e),this.cell!=null&&this.cell.setFastWeightInitDuringBuild(e)}getConfig(){let e=super.getConfig(),t={returnSequences:this.returnSequences,returnState:this.returnState,goBackwards:this.goBackwards,stateful:this.stateful,unroll:this.unroll};this.numConstants!=null&&(t.numConstants=this.numConstants);let n=this.cell.getConfig();return this.getClassName()===cn.className&&(t.cell={className:this.cell.getClassName(),config:n}),Object.assign({},n,e,t)}static fromConfig(e,t,n={}){let o=t.cell,s=Yr(o,n);return new e(Object.assign(t,{cell:s}))}};cn.className="RNN";J.registerClass(cn);var Tl=class extends Me{},Xp=class extends Tl{constructor(e){super(e);this.DEFAULT_ACTIVATION="tanh",this.DEFAULT_KERNEL_INITIALIZER="glorotNormal",this.DEFAULT_RECURRENT_INITIALIZER="orthogonal",this.DEFAULT_BIAS_INITIALIZER="zeros",this.units=e.units,qt(this.units,"units"),this.activation=Gs(e.activation==null?this.DEFAULT_ACTIVATION:e.activation),this.useBias=e.useBias==null?!0:e.useBias,this.kernelInitializer=dt(e.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.recurrentInitializer=dt(e.recurrentInitializer||this.DEFAULT_RECURRENT_INITIALIZER),this.biasInitializer=dt(e.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.kernelRegularizer=_t(e.kernelRegularizer),this.recurrentRegularizer=_t(e.recurrentRegularizer),this.biasRegularizer=_t(e.biasRegularizer),this.kernelConstraint=Lt(e.kernelConstraint),this.recurrentConstraint=Lt(e.recurrentConstraint),this.biasConstraint=Lt(e.biasConstraint),this.dropout=lc([1,zs([0,e.dropout==null?0:e.dropout])]),this.recurrentDropout=lc([1,zs([0,e.recurrentDropout==null?0:e.recurrentDropout])]),this.stateSize=this.units,this.dropoutMask=null,this.recurrentDropoutMask=null}build(e){e=et(e),this.kernel=this.addWeight("kernel",[e[e.length-1],this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight("bias",[this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0}call(e,t){return V(()=>{if(e=e,e.length!==2)throw new B(`SimpleRNNCell expects 2 input Tensors, got ${e.length}.`);let n=e[1];e=e[0];let o=t.training==null?!1:t.training;0tr(e),rate:this.dropout,training:o})),0tr(n),rate:this.recurrentDropout,training:o}));let s,a=this.dropoutMask,i=this.recurrentDropoutMask;a!=null?s=ns(P(e,a),this.kernel.read()):s=ns(e,this.kernel.read()),this.bias!=null&&(s=on(s,this.bias.read())),i!=null&&(n=P(n,i));let l=Q(s,ns(n,this.recurrentKernel.read()));return this.activation!=null&&(l=this.activation.apply(l)),[l,l]})}getConfig(){let e=super.getConfig(),t={units:this.units,activation:Vs(this.activation),useBias:this.useBias,kernelInitializer:Nt(this.kernelInitializer),recurrentInitializer:Nt(this.recurrentInitializer),biasInitializer:Nt(this.biasInitializer),kernelRegularizer:lt(this.kernelRegularizer),recurrentRegularizer:lt(this.recurrentRegularizer),biasRegularizer:lt(this.biasRegularizer),activityRegularizer:lt(this.activityRegularizer),kernelConstraint:Mt(this.kernelConstraint),recurrentConstraint:Mt(this.recurrentConstraint),biasConstraint:Mt(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout};return Object.assign({},e,t)}};Xp.className="SimpleRNNCell";J.registerClass(Xp);var Nd=class extends cn{constructor(e){e.cell=new Xp(e),super(e)}call(e,t){return V(()=>{this.cell.dropoutMask!=null&&(Ee(this.cell.dropoutMask),this.cell.dropoutMask=null),this.cell.recurrentDropoutMask!=null&&(Ee(this.cell.recurrentDropoutMask),this.cell.recurrentDropoutMask=null);let n=t==null?null:t.mask,o=t==null?null:t.training,s=t==null?null:t.initialState;return super.call(e,{mask:n,training:o,initialState:s})})}static fromConfig(e,t){return new e(t)}};Nd.className="SimpleRNN";J.registerClass(Nd);var Yp=class extends Tl{constructor(e){super(e);if(this.DEFAULT_ACTIVATION="tanh",this.DEFAULT_RECURRENT_ACTIVATION="hardSigmoid",this.DEFAULT_KERNEL_INITIALIZER="glorotNormal",this.DEFAULT_RECURRENT_INITIALIZER="orthogonal",this.DEFAULT_BIAS_INITIALIZER="zeros",e.resetAfter)throw new B("GRUCell does not support reset_after parameter set to true.");this.units=e.units,qt(this.units,"units"),this.activation=Gs(e.activation===void 0?this.DEFAULT_ACTIVATION:e.activation),this.recurrentActivation=Gs(e.recurrentActivation===void 0?this.DEFAULT_RECURRENT_ACTIVATION:e.recurrentActivation),this.useBias=e.useBias==null?!0:e.useBias,this.kernelInitializer=dt(e.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.recurrentInitializer=dt(e.recurrentInitializer||this.DEFAULT_RECURRENT_INITIALIZER),this.biasInitializer=dt(e.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.kernelRegularizer=_t(e.kernelRegularizer),this.recurrentRegularizer=_t(e.recurrentRegularizer),this.biasRegularizer=_t(e.biasRegularizer),this.kernelConstraint=Lt(e.kernelConstraint),this.recurrentConstraint=Lt(e.recurrentConstraint),this.biasConstraint=Lt(e.biasConstraint),this.dropout=lc([1,zs([0,e.dropout==null?0:e.dropout])]),this.recurrentDropout=lc([1,zs([0,e.recurrentDropout==null?0:e.recurrentDropout])]),this.implementation=e.implementation,this.stateSize=this.units,this.dropoutMask=null,this.recurrentDropoutMask=null}build(e){e=et(e);let t=e[e.length-1];this.kernel=this.addWeight("kernel",[t,this.units*3],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,this.units*3],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight("bias",[this.units*3],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0}call(e,t){return V(()=>{if(e=e,e.length!==2)throw new B(`GRUCell expects 2 input Tensors (inputs, h, c), got ${e.length}.`);let n=t.training==null?!1:t.training,o=e[1];e=e[0],0tr(e),rate:this.dropout,training:n,count:3})),0tr(o),rate:this.recurrentDropout,training:n,count:3}));let s=this.dropoutMask,a=this.recurrentDropoutMask,i,l,u;0{this.cell.dropoutMask!=null&&(Ee(this.cell.dropoutMask),this.cell.dropoutMask=null),this.cell.recurrentDropoutMask!=null&&(Ee(this.cell.recurrentDropoutMask),this.cell.recurrentDropoutMask=null);let n=t==null?null:t.mask,o=t==null?null:t.training,s=t==null?null:t.initialState;return super.call(e,{mask:n,training:o,initialState:s})})}static fromConfig(e,t){return t.implmentation===0&&(t.implementation=1),new e(t)}};Sd.className="GRU";J.registerClass(Sd);var El=class extends Tl{constructor(e){super(e);this.DEFAULT_ACTIVATION="tanh",this.DEFAULT_RECURRENT_ACTIVATION="hardSigmoid",this.DEFAULT_KERNEL_INITIALIZER="glorotNormal",this.DEFAULT_RECURRENT_INITIALIZER="orthogonal",this.DEFAULT_BIAS_INITIALIZER="zeros",this.units=e.units,qt(this.units,"units"),this.activation=Gs(e.activation===void 0?this.DEFAULT_ACTIVATION:e.activation),this.recurrentActivation=Gs(e.recurrentActivation===void 0?this.DEFAULT_RECURRENT_ACTIVATION:e.recurrentActivation),this.useBias=e.useBias==null?!0:e.useBias,this.kernelInitializer=dt(e.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.recurrentInitializer=dt(e.recurrentInitializer||this.DEFAULT_RECURRENT_INITIALIZER),this.biasInitializer=dt(e.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.unitForgetBias=e.unitForgetBias,this.kernelRegularizer=_t(e.kernelRegularizer),this.recurrentRegularizer=_t(e.recurrentRegularizer),this.biasRegularizer=_t(e.biasRegularizer),this.kernelConstraint=Lt(e.kernelConstraint),this.recurrentConstraint=Lt(e.recurrentConstraint),this.biasConstraint=Lt(e.biasConstraint),this.dropout=lc([1,zs([0,e.dropout==null?0:e.dropout])]),this.recurrentDropout=lc([1,zs([0,e.recurrentDropout==null?0:e.recurrentDropout])]),this.implementation=e.implementation,this.stateSize=[this.units,this.units],this.dropoutMask=null,this.recurrentDropoutMask=null}build(e){var t;e=et(e);let n=e[e.length-1];this.kernel=this.addWeight("kernel",[n,this.units*4],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,this.units*4],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint);let o;if(this.useBias){if(this.unitForgetBias){let s=this.biasInitializer,a=this.units;o=new(t=class extends sn{apply(l,u){let c=s.apply([a]),p=new cc().apply([a]),m=s.apply([a*2]);return $0($0(c,p),m)}},t.className="CustomInit",t)}else o=this.biasInitializer;this.bias=this.addWeight("bias",[this.units*4],null,o,this.biasRegularizer,!0,this.biasConstraint)}else this.bias=null;this.built=!0}call(e,t){return V(()=>{let n=t.training==null?!1:t.training;if(e=e,e.length!==3)throw new B(`LSTMCell expects 3 input Tensors (inputs, h, c), got ${e.length}.`);let o=e[1],s=e[2];e=e[0],0tr(e),rate:this.dropout,training:n,count:4})),0tr(o),rate:this.recurrentDropout,training:n,count:4}));let a=this.dropoutMask,i=this.recurrentDropoutMask,l,u,c,p;0{this.cell.dropoutMask!=null&&(Ee(this.cell.dropoutMask),this.cell.dropoutMask=null),this.cell.recurrentDropoutMask!=null&&(Ee(this.cell.recurrentDropoutMask),this.cell.recurrentDropoutMask=null);let n=t==null?null:t.mask,o=t==null?null:t.training,s=t==null?null:t.initialState;return super.call(e,{mask:n,training:o,initialState:s})})}static fromConfig(e,t){return t.implmentation===0&&(t.implementation=1),new e(t)}};Td.className="LSTM";J.registerClass(Td);var Kp=class extends Tl{constructor(e){super(e);this.cells=e.cells}get stateSize(){let e=[];for(let t of this.cells.slice().reverse())Array.isArray(t.stateSize)?e.push(...t.stateSize):e.push(t.stateSize);return e}call(e,t){return V(()=>{e=e;let n=e.slice(1),o=[];for(let i of this.cells.slice().reverse())Array.isArray(i.stateSize)?o.push(n.splice(0,i.stateSize.length)):o.push(n.splice(0,1));o.reverse();let s=[],a;for(let i=0;i{Ls(`RNNCell_${o}`,()=>{n.build(e),Array.isArray(n.stateSize)?t=n.stateSize[0]:t=n.stateSize,e=[e[0],t]})}),this.built=!0}getConfig(){let e=super.getConfig(),t=s=>({className:s.getClassName(),config:s.getConfig()}),o={cells:this.cells.map(t)};return Object.assign({},e,o)}static fromConfig(e,t,n={}){let o=[];for(let s of t.cells)o.push(Yr(s,n));return new e({cells:o})}get trainableWeights(){if(!this.trainable)return[];let e=[];for(let t of this.cells)e.push(...t.trainableWeights);return e}get nonTrainableWeights(){let e=[];for(let t of this.cells)e.push(...t.nonTrainableWeights);if(!this.trainable){let t=[];for(let n of this.cells)t.push(...n.trainableWeights);return t.concat(e)}return e}getWeights(){let e=[];for(let t of this.cells)e.push(...t.weights);return od(e)}setWeights(e){let t=[];for(let n of this.cells){let o=n.weights.length,s=e.splice(o);for(let a=0;aCx(e(),t),a=()=>wl(s,e,n);return!o||o<=1?$t(a().clone()):Array(o).fill(void 0).map(a).map(l=>$t(l.clone()))}var $Q=function(r,e){var t={};for(var n in r)Object.prototype.hasOwnProperty.call(r,n)&&e.indexOf(n)<0&&(t[n]=r[n]);if(r!=null&&typeof Object.getOwnPropertySymbols=="function")for(var o=0,n=Object.getOwnPropertySymbols(r);o{if(this.cell.dropoutMask!=null&&(Ee(this.cell.dropoutMask),this.cell.dropoutMask=null),this.cell.recurrentDropoutMask!=null&&(Ee(this.cell.recurrentDropoutMask),this.cell.recurrentDropoutMask=null),t&&t.constants)throw new B("ConvRNN2D cell does not support constants");let n=t==null?null:t.mask,o=t==null?null:t.training,s=t==null?null:t.initialState;return super.call(e,{mask:n,training:o,initialState:s})})}computeOutputShape(e){let t=this.computeSingleOutputShape(e);return this.returnSequences||(t=[t[0],...t.slice(2)]),this.returnState&&(t=[t,...Array(2).fill([e[0],...t.slice(-3)])]),t}getInitialState(e){return V(()=>{let{stateSize:t}=this.cell,n=e.shape,o=this.computeSingleOutputShape(n),s=[o[0],...o.slice(2)],a=xt(s);return Array.isArray(t)?Array(t.length).fill(a):[a]})}resetStates(e,t=!1){V(()=>{if(!this.stateful)throw new Cn("Cannot call resetStates() on an RNN Layer that is not stateful.");let n=this.inputSpec[0].shape,o=this.computeSingleOutputShape(n),s=[o[0],...o.slice(2)];if(n[0]==null)throw new B("If an RNN is stateful, it needs to know its batch size. Specify the batch size of your input tensors: \n- If using a Sequential model, specify the batch size by passing a `batchInputShape` option to your first layer.\n- If using the functional API, specify the batch size by passing a `batchShape` option to your Input layer.");if(this.getStates()==null)Array.isArray(this.cell.stateSize)?this.states_=this.cell.stateSize.map(()=>xt(s)):this.states_=[xt(s)];else if(e==null)Ee(this.states_),this.keptStates!=null&&(Ee(this.keptStates),this.keptStates=[]),Array.isArray(this.cell.stateSize)?this.states_=this.cell.stateSize.map(()=>xt(s)):this.states_[0]=xt(s);else{if(Array.isArray(e)||(e=[e]),e.length!==this.states_.length)throw new B(`Layer ${this.name} expects ${this.states_.length} state(s), but it received ${e.length} state value(s). Input received: ${e}`);t?this.keptStates.push(this.states_.slice()):Ee(this.states_);for(let i=0;i$t(i.clone()))})}computeSingleOutputShape(e){let{dataFormat:t,filters:n,kernelSize:o,padding:s,strides:a,dilationRate:i}=this.cell,l=t==="channelsFirst",u=e[l?3:2],c=e[l?4:3],p=un(u,o[0],s,a[0],i[0]),m=un(c,o[1],s,a[1],i[1]);return[...e.slice(0,2),...l?[n,p,m]:[p,m,n]]}};uC.className="ConvRNN2D";var Zp=class extends El{constructor(e){let{filters:t,kernelSize:n,strides:o,padding:s,dataFormat:a,dilationRate:i}=e;super(Object.assign({},e,{units:t}));this.filters=t,qt(this.filters,"filters"),this.kernelSize=Nl(n,2,"kernelSize"),this.kernelSize.forEach(l=>qt(l,"kernelSize")),this.strides=Nl(o||1,2,"strides"),this.strides.forEach(l=>qt(l,"strides")),this.padding=s||"valid",Xr(this.padding),this.dataFormat=a||"channelsLast",Ft(this.dataFormat),this.dilationRate=Nl(i||1,2,"dilationRate"),this.dilationRate.forEach(l=>qt(l,"dilationRate"))}build(e){var t;e=et(e);let n=this.dataFormat==="channelsFirst"?1:e.length-1;if(e[n]==null)throw new B(`The channel dimension of the input should be defined. Found ${e[n]}`);let o=e[n],s=4,a=this.kernelSize.concat([o,this.filters*s]);this.kernel=this.addWeight("kernel",a,null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint);let i=this.kernelSize.concat([this.filters,this.filters*s]);if(this.recurrentKernel=this.addWeight("recurrent_kernel",i,null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias){let l;if(this.unitForgetBias){let u=this.biasInitializer,c=this.filters;l=new(t=class extends sn{apply(m,f){let d=u.apply([c]),h=Ir([c]),g=u.apply([c*2]);return Dp([d,h,g])}},t.className="CustomInit",t)}else l=this.biasInitializer;this.bias=this.addWeight("bias",[this.filters*s],null,l,this.biasRegularizer,!0,this.biasConstraint)}this.built=!0}call(e,t){return V(()=>{if(e.length!==3)throw new B(`ConvLSTM2DCell expects 3 input Tensors (inputs, h, c), got ${e.length}.`);let n=t.training||!1,o=e[0],s=e[1],a=e[2],i=4;0tr(o),rate:this.dropout,training:n,count:i}));let l=this.dropoutMask,u=(ie,se,pe)=>!se||!se[pe]?ie:P(se[pe],ie),c=u(o,l,0),p=u(o,l,1),m=u(o,l,2),f=u(o,l,3);0tr(s),rate:this.recurrentDropout,training:n,count:i}));let d=this.recurrentDropoutMask,h=u(s,d,0),g=u(s,d,1),x=u(s,d,2),b=u(s,d,3),w=3,[_,k,E,S]=ur(this.kernel.read(),i,w),[R,F,L,G]=this.useBias?ur(this.bias.read(),i):[null,null,null,null];c=this.inputConv(c,_,R,this.padding),p=this.inputConv(p,k,F,this.padding),m=this.inputConv(m,E,L,this.padding),f=this.inputConv(f,S,G,this.padding);let[j,U,Y,K]=ur(this.recurrentKernel.read(),i,w);h=this.recurrentConv(h,j),g=this.recurrentConv(g,U),x=this.recurrentConv(x,Y),b=this.recurrentConv(b,K);let Z=this.recurrentActivation.apply(Q(c,h)),te=this.recurrentActivation.apply(Q(p,g)),X=Q(P(te,a),P(Z,this.activation.apply(Q(m,x)))),re=P(this.recurrentActivation.apply(Q(f,b)),this.activation.apply(X));return[re,re,X]})}getConfig(){let e=super.getConfig(),{units:t}=e,n=$Q(e,["units"]),o={filters:this.filters,kernelSize:this.kernelSize,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,strides:this.strides};return Object.assign({},n,o)}inputConv(e,t,n,o){let s=Ur(e,t,this.strides,o||"valid",this.dataFormat==="channelsFirst"?"NCHW":"NHWC",this.dilationRate);return n?on(s,n,this.dataFormat):s}recurrentConv(e,t){return Ur(e,t,1,"same",this.dataFormat==="channelsFirst"?"NCHW":"NHWC")}};Zp.className="ConvLSTM2DCell";J.registerClass(Zp);var Ed=class extends uC{constructor(e){let t=new Zp(e);super(Object.assign({},e,{cell:t}))}static fromConfig(e,t){return new e(t)}};Ed.className="ConvLSTM2D";J.registerClass(Ed);var Jp=class extends Me{constructor(e){super(e);this.rate=Math.max(Math.min(e.rate,1),0),this.noiseShape=e.noiseShape,this.seed=e.seed,this.supportsMasking=!0}getNoiseShape(e){if(this.noiseShape==null)return this.noiseShape;let t=e.shape,n=[];for(let o=0;o{this.invokeCallHook(e,t);let n=Oe(e);if(0Cx(n,this.rate,s,this.seed),()=>n,o)}return e})}getConfig(){let e={rate:this.rate,noiseShape:this.noiseShape,seed:this.seed},t=super.getConfig();return Object.assign(e,t),e}dispose(){return super.dispose()}};Jp.className="Dropout";J.registerClass(Jp);var Ad=class extends Jp{constructor(e){super(e);this.inputSpec=[{ndim:3}]}getNoiseShape(e){let t=e.shape;return[t[0],1,t[2]]}};Ad.className="SpatialDropout1D";J.registerClass(Ad);var Dd=class extends Me{constructor(e){super(e);if(this.activation=null,this.useBias=!0,this.kernel=null,this.bias=null,this.DEFAULT_KERNEL_INITIALIZER="glorotNormal",this.DEFAULT_BIAS_INITIALIZER="zeros",e.batchInputShape==null&&e.inputShape==null&&e.inputDim!=null){let t=null;e.batchSize!=null&&(t=e.batchSize),this.batchInputShape=[t,e.inputDim]}this.units=e.units,qt(this.units,"units"),this.activation=Gs(e.activation),e.useBias!=null&&(this.useBias=e.useBias),this.kernelInitializer=dt(e.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.biasInitializer=dt(e.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.kernelConstraint=Lt(e.kernelConstraint),this.biasConstraint=Lt(e.biasConstraint),this.kernelRegularizer=_t(e.kernelRegularizer),this.biasRegularizer=_t(e.biasRegularizer),this.activityRegularizer=_t(e.activityRegularizer),this.supportsMasking=!0,this.inputSpec=[{minNDim:2}]}build(e){e=et(e);let t=e[e.length-1];this.kernel==null&&(this.kernel=this.addWeight("kernel",[t,this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint))),this.inputSpec=[{minNDim:2,axes:{[-1]:t}}],this.built=!0}computeOutputShape(e){e=et(e);let t=e.slice();return t[t.length-1]=this.units,t}call(e,t){return V(()=>{this.invokeCallHook(e,t);let n=Oe(e),o=bx(this.activation.getClassName()),s;return o!=null?s=ns(n,this.kernel.read(),o,this.bias?this.bias.read():null):(s=ns(n,this.kernel.read()),this.bias!=null&&(s=on(s,this.bias.read())),this.activation!=null&&(s=this.activation.apply(s))),s})}getConfig(){let e={units:this.units,activation:Vs(this.activation),useBias:this.useBias,kernelInitializer:Nt(this.kernelInitializer),biasInitializer:Nt(this.biasInitializer),kernelRegularizer:lt(this.kernelRegularizer),biasRegularizer:lt(this.biasRegularizer),activityRegularizer:lt(this.activityRegularizer),kernelConstraint:Mt(this.kernelConstraint),biasConstraint:Mt(this.biasConstraint)},t=super.getConfig();return Object.assign(e,t),e}};Dd.className="Dense";J.registerClass(Dd);var $d=class extends Me{constructor(e){e=e||{},super(e),this.inputSpec=[{minNDim:3}],this.dataFormat=e.dataFormat}computeOutputShape(e){e=et(e);for(let t of e.slice(1))if(t==null)throw new B(`The shape of the input to "Flatten" is not fully defined (got ${e.slice(1)}). 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${r.shape.length}`),y.assert(r.shape.length>=2,()=>`batchDot requires the rank of y to be >= 2, but got ${e.shape.length}`),typeof t=="number"&&(t=[t,t]),r.dtype==="complex64"||e.dtype==="complex64")throw new Se("batchDot is not implemented for complex64-type Tensors yet.");let n=r.shape.length,o=e.shape.length;t==null&&(t=[n-1,o-2]);let s=t;return V(()=>{let a;if(n>o){a=n-o;let l=[];for(let u=0;un){a=o-n;let l=[];for(let u=0;u0){let l;n>o?l=n+o-3:l=n-1;let u=[];for(let c=l;c"A `Dot` layer should be called on a list of exactly 2 inputs.");let t=e[0],n=e[1];if(t.length>3||n.length>3)throw new Se("Dot layer does not support tensors of 4D or higher rank yet.");let o=this.interpretAxes(t,n);if(t[o[0]]!==n[o[1]])throw new B(`Dimension incompatibility: ${t[o[0]]} !== ${n[o[1]]}`)}mergeFunction(e){if(e.length!==2)throw new B(`A \`Dot\` layer must be called on exactly 2 inputs, but received ${e.length} input(s).`);let t=e[0],n=e[1],o;return Array.isArray(this.axes)?o=this.axes.map((s,a)=>Ud(s,e[a].shape.length)):o=[Ud(this.axes,t.shape.length),Ud(this.axes,n.shape.length)],this.normalize&&(t=sd(t,o[0]),n=sd(n,o[1])),RQ(t,n,o)}interpretAxes(e,t){let n;return Array.isArray(this.axes)?n=this.axes:n=[Ud(this.axes,e.length),Ud(this.axes,t.length)],n}computeOutputShape(e){y.assert(Array.isArray(e)&&e.length===2&&Array.isArray(e[0])&&Array.isArray(e[1]),()=>"A `Dot` layer should be called on a list of exactly 2 inputs.");let t=e[0].slice(),n=e[1].slice();if(t.length>3||n.length>3)throw new Se("Dot layer does not support tensors of 4D or higher rank yet.");let o=this.interpretAxes(t,n);t.splice(o[0],1),n.splice(o[1],1),n.splice(0,1);let s=t.concat(n);return s.length===1&&s.push(1),s}computeMask(e,t){return null}getConfig(){let e={axes:this.axes,normalize:this.normalize},t=super.getConfig();return Object.assign(e,t),e}};qd.className="Dot";J.registerClass(qd);var Hd=class extends Me{constructor(e){super(e);this.supportsMasking=!0,this.stddev=e.stddev}computeOutputShape(e){return e}getConfig(){let e=super.getConfig(),t={stddev:this.stddev};return Object.assign(t,e),t}call(e,t){return V(()=>{this.invokeCallHook(e,t);let n=Oe(e);return wl(()=>$p(n.shape,0,this.stddev).add(n),()=>n,t.training||!1)})}};Hd.className="GaussianNoise";J.registerClass(Hd);var Kd=class extends Me{constructor(e){super(e);this.supportsMasking=!0,this.rate=e.rate}computeOutputShape(e){return e}getConfig(){let e=super.getConfig(),t={rate:this.rate};return Object.assign(t,e),t}call(e,t){return V(()=>{this.invokeCallHook(e,t);let n=Oe(e);return this.rate>0&&this.rate<1?wl(()=>{let s=Math.sqrt(this.rate/(1-this.rate));return n.mul($p(n.shape,1,s))},()=>n,t.training||!1):n})}};Kd.className="GaussianDropout";J.registerClass(Kd);var Xd=class extends Me{constructor(e){super(e);this.supportsMasking=!0,this.rate=e.rate,this.noiseShape=e.noiseShape}_getNoiseShape(e){return this.noiseShape||Oe(e).shape}computeOutputShape(e){return e}getConfig(){let e=super.getConfig(),t={rate:this.rate};return Object.assign(t,e),t}call(e,t){return V(()=>{if(this.rate<1&&this.rate>0){let n=this._getNoiseShape(e);return wl(()=>{let s=Oe(e),a=1.6732632423543772,i=1.0507009873554805,l=-a*i,u=tn(Ds(n),this.rate);u=ja(u,"float32");let c=((1-this.rate)*(1+this.rate*l**2))**-.5,p=-c*l*this.rate;return s.mul(u).add(u.add(-1).mul(l)).mul(c).add(p)},()=>Oe(e),t.training||!1)}return e})}};Xd.className="AlphaDropout";J.registerClass(Xd);function Yd(r,e,t,n,o,s=.001){let a;if(r.rank===2)a=Cw(r,e,t,n,o,s);else if(r.rank===3)a=Iw(r,e,t,n,o,s);else if(r.rank===4)a=Nw(r,e,t,n,o,s);else throw new Se(`batchNormalization is not implemented for array of rank ${r.rank} yet`);return a}function FQ(r,e,t,n,o=.001){return V(()=>{let s=Qc(r,n),a=s.mean,i=s.variance;return[Yd(r,a,i,t,e,o),a,i]})}function OQ(r,e,t,n,o=.001){return V(()=>{let s=Qc(r,n),a=s.mean,i=s.variance,l=[];for(let d of Lr(0,r.rank))n.indexOf(d)!==-1?l.push(1):l.push(r.shape[d]);let u=a.reshape(l),c=i.reshape(l),p=e==null?null:e.reshape(l),m=t==null?null:t.reshape(l);return[Yd(r,u,c,m,p,o),a,i]})}function PQ(r,e,t,n,o=.001){return y.arraysEqual(n.slice().sort(),Lr(0,r.rank-1))?FQ(r,e,t,n,o):OQ(r,e,t,n,o)}var Zd=class extends Me{constructor(e){e==null&&(e={}),super(e),this.supportsMasking=!0,this.axis=e.axis==null?-1:e.axis,this.momentum=e.momentum==null?.99:e.momentum,this.epsilon=e.epsilon==null?.001:e.epsilon,this.center=e.center==null?!0:e.center,this.scale=e.scale==null?!0:e.scale,this.betaInitializer=dt(e.betaInitializer||"zeros"),this.gammaInitializer=dt(e.gammaInitializer||"ones"),this.movingMeanInitializer=dt(e.movingMeanInitializer||"zeros"),this.movingVarianceInitializer=dt(e.movingVarianceInitializer||"ones"),this.betaConstraint=Lt(e.betaConstraint),this.gammaConstraint=Lt(e.gammaConstraint),this.betaRegularizer=_t(e.betaRegularizer),this.gammaRegularizer=_t(e.gammaRegularizer)}build(e){e=et(e);let t=this.axis>=0?this.axis:this.axis+e.length,n=e[t];if(n==null)throw new B(`Axis ${t} of input tensor should have a defined dimension but the layer received an input with shape ${JSON.stringify(e)}.`);this.inputSpec=[new Dt({ndim:e.length,axes:{[t]:n}})];let o=[n];this.scale&&(this.gamma=this.addWeight("gamma",o,null,this.gammaInitializer,this.gammaRegularizer,!0,this.gammaConstraint)),this.center&&(this.beta=this.addWeight("beta",o,null,this.betaInitializer,this.betaRegularizer,!0,this.betaConstraint)),this.movingMean=this.addWeight("moving_mean",o,null,this.movingMeanInitializer,null,!1),this.movingVariance=this.addWeight("moving_variance",o,null,this.movingVarianceInitializer,null,!1),this.built=!0}call(e,t){return V(()=>{let n=t.training==null?!1:t.training,o=Oe(e),s=o.shape,a=s.length,i=Lr(0,a),l=this.axis>=0?this.axis:this.axis+a;i.splice(l,1);let u=Jo(1,a);u[l]=s[l];let c=i.slice();c.sort();let p=!y.arraysEqual(c,Lr(0,a).slice(0,a-1)),m=()=>{if(p){let b=this.movingMean.read().reshape(u),w=this.movingVariance.read().reshape(u),_=this.center?this.beta.read().reshape(u):null,k=this.scale?this.gamma.read().reshape(u):null;return Yd(o,b,w,_,k,this.epsilon)}else return Yd(o,this.movingMean.read(),this.movingVariance.read(),this.beta==null?null:this.beta.read(),this.gamma==null?null:this.gamma.read(),this.epsilon)};if(!n)return m();let[f,d,h]=PQ(o,this.gamma.read(),this.beta.read(),i,this.epsilon),g=(b,w,_)=>{V(()=>{let k=1-_,E=b.read(),S=E.sub(w).mul(k);b.write(E.sub(S))})};return(()=>{g(this.movingMean,d,this.momentum),g(this.movingVariance,h,this.momentum)})(),f})}getConfig(){let e={axis:this.axis,momentum:this.momentum,epsilon:this.epsilon,center:this.center,scale:this.scale,betaInitializer:Nt(this.betaInitializer),gammaInitializer:Nt(this.gammaInitializer),movingMeanInitializer:Nt(this.movingMeanInitializer),movingVarianceInitializer:Nt(this.movingVarianceInitializer),betaRegularizer:lt(this.betaRegularizer),gammaRegularizer:lt(this.gammaRegularizer),betaConstraint:Mt(this.betaConstraint),gammaConstraint:Mt(this.gammaConstraint)},t=super.getConfig();return Object.assign(e,t),e}};Zd.className="BatchNormalization";J.registerClass(Zd);var Jd=class extends Me{constructor(e){if(e==null&&(e={}),super(e),this.axis=e.axis==null?-1:e.axis,typeof this.axis=="number"){if(!Number.isInteger(this.axis))throw new Error(`Expected axis to be an integer, but received ${this.axis}`)}else if(Array.isArray(this.axis)){for(let t of this.axis)if(!Number.isInteger(t))throw new Error(`Expected axis to be an array of integers, but received ${JSON.stringify(this.axis)}`)}else throw new Error(`Expected axis to be an integer or an array of integers, but received ${JSON.stringify(this.axis)}`);this.epsilon=e.epsilon==null?.001:e.epsilon,this.center=e.center==null?!0:e.center,this.scale=e.scale==null?!0:e.scale,this.betaInitializer=dt(e.betaInitializer||"zeros"),this.gammaInitializer=dt(e.gammaInitializer||"ones"),this.betaRegularizer=_t(e.betaRegularizer),this.gammaRegularizer=_t(e.gammaRegularizer),this.supportsMasking=!0}build(e){e=et(e);let t=e.length;typeof this.axis=="number"&&(this.axis=[this.axis]);for(let s=0;s=t)throw new Error(`Invalid axis: ${s}`);if(this.axis.length!==ts(this.axis).length)throw new Error(`Found duplicate axes in: ${this.axis}`);let n=this.axis.map(s=>e[s]),o=!0;this.scale?this.gamma=this.addWeight("gamma",n,"float32",this.gammaInitializer,this.gammaRegularizer,o):this.gamma=null,this.center?this.beta=this.addWeight("beta",n,"float32",this.betaInitializer,this.betaRegularizer,o):this.beta=null,this.built=!0}call(e,t){let n=Oe(e),o=n.shape,s=o.length;return V(()=>{let a=!0,{mean:i,variance:l}=Qc(n,this.axis,a),u=Jo(1,s);for(let h of this.axis)u[h]=o[h];let c=h=>h!=null&&h.shape.length!==s&&this.axis!==[s-1]?h.reshape(u):h,p=c(this.gamma.read()),m=c(this.beta.read()),f=[],d=[];for(let h=0;h{if(r.rank!==4)throw new B(`temporalPadding expects input tensor to be 4-D, but received a ${r.rank}-D tensor.`);if(e==null&&(e=[[1,1],[1,1]]),e.length!==2||e[0].length!==2||e[1].length!==2)throw new B("spatial2dPadding expects `padding` to be an Array of two Arrays, each of which is an Array of two integers.");if(t==null&&(t=Kr()),t!=="channelsLast"&&t!=="channelsFirst")throw new B(`Unknown data format: ${t}. 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s==="max"?a=Ea(r,e,t,i):a=va(r,e,t,i),o==="channelsFirst"&&(a=We(a,[0,3,1,2])),a})}function HL(r,e,t,n,o,s){return V(()=>{Ft(o),A0(s),Xr(n),t==null&&(t=[1,1,1]),n==null&&(n="valid"),o==null&&(o=Kr()),s==null&&(s="max"),r=sC(r,o);let a,i=n==="same"?"same":"valid";return s==="max"?a=Xm(r,e,t,i):a=Lm(r,e,t,i),o==="channelsFirst"&&(a=We(a,[0,4,1,2,3])),a})}var cC=class extends Me{constructor(e){if(e.poolSize==null&&(e.poolSize=2),super(e),typeof e.poolSize=="number")this.poolSize=[e.poolSize];else if(Array.isArray(e.poolSize)&&e.poolSize.length===1&&typeof e.poolSize[0]=="number")this.poolSize=e.poolSize;else throw new B(`poolSize for 1D convolutional layer must be a number or an Array of a single number, but received ${JSON.stringify(e.poolSize)}`);if(qt(this.poolSize,"poolSize"),e.strides==null)this.strides=this.poolSize;else if(typeof e.strides=="number")this.strides=[e.strides];else if(Array.isArray(e.strides)&&e.strides.length===1&&typeof 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Ft(s),Xr(o),Hx(e,t,n,o,s,"avg")}};th.className="AveragePooling1D";J.registerClass(th);var pC=class extends Me{constructor(e){if(e.poolSize==null&&(e.poolSize=[2,2]),super(e),this.poolSize=Array.isArray(e.poolSize)?e.poolSize:[e.poolSize,e.poolSize],e.strides==null)this.strides=this.poolSize;else if(Array.isArray(e.strides)){if(e.strides.length!==2)throw new B(`If the strides property of a 2D pooling layer is an Array, it is expected to have a length of 2, but received length ${e.strides.length}.`);this.strides=e.strides}else this.strides=[e.strides,e.strides];qt(this.poolSize,"poolSize"),qt(this.strides,"strides"),this.padding=e.padding==null?"valid":e.padding,this.dataFormat=e.dataFormat==null?"channelsLast":e.dataFormat,Ft(this.dataFormat),Xr(this.padding),this.inputSpec=[new Dt({ndim:4})]}computeOutputShape(e){e=et(e);let t=this.dataFormat==="channelsFirst"?e[2]:e[1],n=this.dataFormat==="channelsFirst"?e[3]:e[2];return t=un(t,this.poolSize[0],this.padding,this.strides[0]),n=un(n,this.poolSize[1],this.padding,this.strides[1]),this.dataFormat==="channelsFirst"?[e[0],e[1],t,n]:[e[0],t,n,e[3]]}call(e,t){return V(()=>(this.invokeCallHook(e,t),this.poolingFunction(Oe(e),this.poolSize,this.strides,this.padding,this.dataFormat)))}getConfig(){let e={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},t=super.getConfig();return Object.assign(e,t),e}},rh=class extends pC{constructor(e){super(e)}poolingFunction(e,t,n,o,s){return Ft(s),Xr(o),Hx(e,t,n,o,s,"max")}};rh.className="MaxPooling2D";J.registerClass(rh);var nh=class extends pC{constructor(e){super(e)}poolingFunction(e,t,n,o,s){return Ft(s),Xr(o),Hx(e,t,n,o,s,"avg")}};nh.className="AveragePooling2D";J.registerClass(nh);var mC=class extends Me{constructor(e){if(e.poolSize==null&&(e.poolSize=[2,2,2]),super(e),this.poolSize=Array.isArray(e.poolSize)?e.poolSize:[e.poolSize,e.poolSize,e.poolSize],e.strides==null)this.strides=this.poolSize;else if(Array.isArray(e.strides)){if(e.strides.length!==3)throw new B(`If the strides property of a 3D pooling layer is an Array, it is expected to have a length of 3, but received length ${e.strides.length}.`);this.strides=e.strides}else this.strides=[e.strides,e.strides,e.strides];qt(this.poolSize,"poolSize"),qt(this.strides,"strides"),this.padding=e.padding==null?"valid":e.padding,this.dataFormat=e.dataFormat==null?"channelsLast":e.dataFormat,Ft(this.dataFormat),Xr(this.padding),this.inputSpec=[new Dt({ndim:5})]}computeOutputShape(e){e=et(e);let t=this.dataFormat==="channelsFirst"?e[2]:e[1],n=this.dataFormat==="channelsFirst"?e[3]:e[2],o=this.dataFormat==="channelsFirst"?e[4]:e[3];return t=un(t,this.poolSize[0],this.padding,this.strides[0]),n=un(n,this.poolSize[1],this.padding,this.strides[1]),o=un(o,this.poolSize[2],this.padding,this.strides[2]),this.dataFormat==="channelsFirst"?[e[0],e[1],t,n,o]:[e[0],t,n,o,e[4]]}call(e,t){return V(()=>(this.invokeCallHook(e,t),this.poolingFunction(Oe(e),this.poolSize,this.strides,this.padding,this.dataFormat)))}getConfig(){let e={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},t=super.getConfig();return Object.assign(e,t),e}},oh=class extends mC{constructor(e){super(e)}poolingFunction(e,t,n,o,s){return Ft(s),Xr(o),HL(e,t,n,o,s,"max")}};oh.className="MaxPooling3D";J.registerClass(oh);var sh=class extends mC{constructor(e){super(e)}poolingFunction(e,t,n,o,s){return Ft(s),Xr(o),HL(e,t,n,o,s,"avg")}};sh.className="AveragePooling3D";J.registerClass(sh);var fC=class extends Me{constructor(e){super(e);this.inputSpec=[new Dt({ndim:3})]}computeOutputShape(e){return[e[0],e[2]]}call(e,t){throw new 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n=C("blockShape",r,e,t),o=C("paddings",r,e,t);return[Aa(C("x",r,e,t),n,o)]}case"BatchToSpaceND":{let n=C("blockShape",r,e,t),o=C("crops",r,e,t);return[Ca(C("x",r,e,t),n,o)]}case"DepthToSpace":{let n=C("blockSize",r,e,t),o=C("dataFormat",r,e,t).toUpperCase();return[Vm(C("x",r,e,t),n,o)]}case"BroadcastTo":return[ll(C("x",r,e,t),C("shape",r,e,t))];default:throw TypeError(`Node type ${r.op} is not implemented`)}};function qC(r,e,t,n){let o=((s,a,i)=>{switch(s.category){case"arithmetic":return V(()=>az(s,a,i));case"basic_math":return V(()=>lz(s,a,i));case"control":return dz(s,a,i);case"convolution":return V(()=>gz(s,a,i));case"creation":return V(()=>xz(s,a,i));case"dynamic":return yz(s,a,i);case"evaluation":return V(()=>bz(s,a,i));case"image":return V(()=>kz(s,a,i));case"graph":return V(()=>wz(s,a,i));case"logical":return V(()=>vz(s,a,i));case"matrices":return V(()=>Cz(s,a,i));case"normalization":return V(()=>Iz(s,a,i));case"reduction":return V(()=>Nz(s,a,i));case"slice_join":return V(()=>Sz(s,a,i));case"spectral":return V(()=>Tz(s,a,i));case"transformation":return V(()=>Ez(s,a,i));case"hash_table":return _z(s,a,i,n);case"custom":let l=Zx(s.op);if(l&&l.customExecutor)return l.customExecutor(new GC(s,a,i));throw TypeError(`Custom op ${s.op} is not registered.`);default:throw TypeError(`Unknown op '${s.op}'. File an issue at https://github.com/tensorflow/tfjs/issues so we can add it, or register a custom execution with tf.registerOp()`)}})(r,e,t);return y.isPromise(o)?o.then(s=>[].concat(s)):[].concat(o)}var py=class{constructor(e={},t={},n={},o={}){this.weightMap=e,this.tensorArrayMap=t,this.tensorListMap=n,this.functionMap=o,this.rootContext={id:0,frameName:"",iterationId:0},this.contexts=[this.rootContext],this.lastId=0,this.generateCurrentContextIds()}newFrame(e,t){return{id:e,frameName:t,iterationId:0}}set currentContext(e){this.contexts!==e&&(this.contexts=e,this.generateCurrentContextIds())}get currentContext(){return this.contexts}get currentContextId(){return this._currentContextIds[0]}get currentContextIds(){return this._currentContextIds}generateCurrentContextIds(){let e=[];for(let t=0;tt.id===0&&t.iterationId===0?"":`${t.frameName}-${t.iterationId}`).join("/"):""}enterFrame(e){this.contexts&&(this.lastId++,this.contexts=this.contexts.slice(),this.contexts.push(this.newFrame(this.lastId,e)),this._currentContextIds.unshift(this.contextIdforContexts(this.contexts)))}exitFrame(){if(this.contexts&&this.contexts.length>1)this.contexts=this.contexts.slice(),this.contexts.splice(-1),this.currentContextIds.shift();else throw new Error("Cannot exit frame, the context is empty")}nextIteration(){if(this.contexts&&this.contexts.length>0){this.contexts=this.contexts.slice(),this.lastId++;let e=Object.assign({},this.contexts[this.contexts.length-1]);e.iterationId+=1,e.id=this.lastId,this.contexts.splice(-1,1,e),this._currentContextIds.splice(0,1,this.contextIdforContexts(this.contexts))}else throw new Error("Cannot increase frame iteration, the context is empty")}getWeight(e){return this.weightMap[e]}addTensorArray(e){this.tensorArrayMap[e.id]=e}getTensorArray(e){return this.tensorArrayMap[e]}addTensorList(e){this.tensorListMap[e.id]=e}getTensorList(e){return this.tensorListMap[e]}dispose(e){for(let t in this.tensorArrayMap)this.tensorArrayMap[t].clearAndClose(e);for(let t in this.tensorListMap)this.tensorListMap[t].clearAndClose(e)}};function KC(r,e,t,n){let o=new Set,s=[],a=null,i=null,l=new Set,u=Object.keys(r).map(m=>Zr(m)[0]),c=[];n!=null&&(c=n.map(m=>Zr(m.name)[0]));let p=[...e];for(;p.length>0;){let m=p.pop();if((HC(m)||$te(m)||Rte(m))&&a==null&&(a=m,i=a.children.map(f=>f.name).filter(f=>o.has(f))),o.add(m.name),t[m.name]==null&&u.indexOf(m.name)===-1&&c.indexOf(m.name)===-1){if(m.inputs.length===0){s.push(m.name);continue}m.inputs.forEach(f=>{l.has(f.name)||(l.add(f.name),p.push(f))})}}return{inputs:r,outputs:e,usedNodes:o,missingInputs:s,dynamicNode:a,syncInputs:i}}function Az(r,e,t){let{usedNodes:n,inputs:o}=t,s=[],a=Object.keys(o).map(c=>Zr(c)[0]).map(c=>r.nodes[c]),i=r.initNodes;a.forEach(c=>{n.has(c.name)&&s.push(c)}),r.weights.forEach(c=>{n.has(c.name)&&s.push(c)}),i!=null&&i.forEach(c=>{n.has(c.name)&&s.push(c)});let l=new Set,u=[];for(;s.length>0;){let c=s.pop();l.add(c.name),e[c.name]||u.push(c),c.children.forEach(p=>{!l.has(p.name)&&n.has(p.name)&&p.inputs.every(m=>l.has(m.name))&&s.push(p)})}return u}var Fte=["Switch","Merge","Enter","Exit","NextIteration","StatelessIf","StatelessWhile","if","While"],Ote=["NonMaxSuppressionV2","NonMaxSuppressionV3","NonMaxSuppressionV5","Where"],Pte=["HashTable","HashTableV2","LookupTableImport","LookupTableImportV2","LookupTableFind","LookupTableFindV2"];function HC(r){return Fte.indexOf(r.op)>=0}function $te(r){return Ote.indexOf(r.op)>=0}function Rte(r){return Pte.indexOf(r.op)>=0}var em=class{constructor(e,t){this.graph=e,this.parent=t,this.compiledMap=new Map,this._weightMap={},this.SEPERATOR=",",this._functions={},this._functionExecutorMap={},this._outputs=e.outputs,this._inputs=e.inputs,this._initNodes=e.initNodes,this._signature=e.signature,this._functions=e.functions,e.functions!=null&&Object.keys(e.functions).forEach(n=>{this._functionExecutorMap[n]=new em(e.functions[n],this)})}get weightIds(){return this.parent?this.parent.weightIds:this._weightIds}get functionExecutorMap(){return this.parent?this.parent.functionExecutorMap:this._functionExecutorMap}get weightMap(){return this.parent?this.parent.weightMap:this._weightMap}set weightMap(e){let t=Object.keys(e).map(n=>e[n].map(o=>o.id));this._weightIds=[].concat(...t),this._weightMap=e}set resourceManager(e){this._resourceManager=e}get inputs(){return this._inputs.map(e=>({name:e.name,shape:e.attrParams.shape?e.attrParams.shape.value:void 0,dtype:e.attrParams.dtype?e.attrParams.dtype.value:void 0}))}get outputs(){return this._outputs.map(e=>({name:e.name,shape:e.attrParams.shape?e.attrParams.shape.value:void 0,dtype:e.attrParams.dtype?e.attrParams.dtype.value:void 0}))}get inputNodes(){return this._inputs.map(e=>e.signatureKey||e.name)}get outputNodes(){return this._outputs.map(e=>{let t=e.signatureKey||e.name;return e.defaultOutput?`${t}:${e.defaultOutput}`:t})}get functions(){return Object.keys(this._functions).reduce((e,t)=>(e[t]=this._functions[t].signature,e),{})}getCompilationKey(e,t){let n=e.map(s=>s.name).sort(),o=t.map(s=>s.name).sort();return n.join(this.SEPERATOR)+"--"+o.join(this.SEPERATOR)}compile(e,t){let n=KC(e,t,this.weightMap,this._initNodes),{missingInputs:o,dynamicNode:s,syncInputs:a}=n;if(s!=null)throw new Error(`This execution contains the node '${s.name}', which has the dynamic op '${s.op}'. 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c}processChildNodes(e,t,n,o,s,a){e.children.forEach(i=>{let[l]=js(i.name,n);s[l]||!a.has(i.name)||(i.op==="Merge"?i.inputNames.some(u=>!!xr(u,o,n))&&(s[l]=!0,t.push({contexts:n.currentContext,node:i})):i.inputNames.every(u=>!!xr(u,o,n))&&(s[l]=!0,t.push({contexts:n.currentContext,node:i})))})}dispose(){Object.keys(this.weightMap).forEach(e=>this.weightMap[e].forEach(t=>t.dispose()))}checkInputShapeAndType(e){Object.keys(e).forEach(t=>{let n=e[t],[o]=Zr(t),s=this.graph.nodes[o];if(s.attrParams.shape&&s.attrParams.shape.value){let a=s.attrParams.shape.value,i=a.length===n.shape.length&&n.shape.every((l,u)=>a[u]===-1||a[u]===l);y.assert(i,()=>`The shape of dict['${s.name}'] provided in model.execute(dict) must be [${a}], but was [${n.shape}]`)}s.attrParams.dtype&&s.attrParams.dtype.value&&y.assert(n.dtype===s.attrParams.dtype.value,()=>`The dtype of dict['${s.name}'] provided in model.execute(dict) must be ${s.attrParams.dtype.value}, but was ${n.dtype}`)})}mapInputs(e){let t={};for(let n in e)if(this._signature!=null&&this._signature.inputs!=null&&this._signature.inputs[n]!=null){let o=this._signature.inputs[n];t[o.name]=e[n]}else t[n]=e[n];return t}checkInputs(e){let t=Object.keys(e).filter(n=>{let[o]=Zr(n);return this.graph.nodes[o]==null});if(t.length>0)throw new Error(`The dict provided in model.execute(dict) has keys: [${t}] that are not part of graph`)}mapOutputs(e){return e.map(t=>this._signature!=null&&this._signature.outputs!=null&&this._signature.outputs[t]!=null?this._signature.outputs[t].name:t,{})}checkOutputs(e){e.forEach(t=>{let[n]=Zr(t);if(!this.graph.nodes[n])throw new Error(`The output '${t}' is not found in the graph`)})}};var XC=class{constructor(e={},t={}){this.hashTableNameToHandle=e,this.hashTableMap=t}addHashTable(e,t){this.hashTableNameToHandle[e]=t.handle,this.hashTableMap[t.id]=t}getHashTableHandleByName(e){return this.hashTableNameToHandle[e]}getHashTableById(e){return this.hashTableMap[e]}dispose(){for(let e in 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t=Cr.getLoadHandlers(e,this.loadOptions);if(t.length===0)t.push(Cr.browserHTTPRequest(e,this.loadOptions));else if(t.length>1)throw new Error(`Found more than one (${t.length}) load handlers for URL '${[e]}'`);this.handler=t[0]}}async load(){if(this.findIOHandler(),this.handler.load==null)throw new Error("Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.");let e=await this.handler.load();return this.loadSync(e)}loadSync(e){this.artifacts=e;let t=this.artifacts.modelTopology,n;this.artifacts.userDefinedMetadata!=null&&this.artifacts.userDefinedMetadata.signature!=null?n=this.artifacts.userDefinedMetadata.signature:n=this.artifacts.signature,this.signature=n,this.version=`${t.versions.producer}.${t.versions.minConsumer}`;let o=Cr.decodeWeights(this.artifacts.weightData,this.artifacts.weightSpecs);if(this.executor=new em(Qx.Instance.transformGraph(t,this.signature)),this.executor.weightMap=this.convertTensorMapToTensorsMap(o),this.executor.resourceManager=this.resourceManager,e.modelInitializer!=null&&e.modelInitializer.node!=null){let s=Qx.Instance.transformGraph(e.modelInitializer);this.initializer=new em(s),this.initializer.weightMap=this.executor.weightMap,this.initializer.resourceManager=this.resourceManager,this.initializer.executeAsync({},[])}return!0}async save(e,t){if(typeof e=="string"){let n=Cr.getSaveHandlers(e);if(n.length===0)throw new Error(`Cannot find any save handlers for URL '${e}'`);if(n.length>1)throw new Error(`Found more than one (${n.length}) save handlers for URL '${e}'`);e=n[0]}if(e.save==null)throw new Error("GraphModel.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.");return e.save(this.artifacts)}predict(e,t){return this.execute(e,this.outputNodes)}normalizeInputs(e){if(!(e instanceof Ve)&&!Array.isArray(e))return e;if(e=Array.isArray(e)?e:[e],e.length!==this.inputNodes.length)throw new Error(`Input tensor count mismatch,the graph model has ${this.inputNodes.length} placeholders, while there are ${e.length} input tensors.`);return this.inputNodes.reduce((t,n,o)=>(t[n]=e[o],t),{})}normalizeOutputs(e){return e=e||this.outputNodes,Array.isArray(e)?e:[e]}execute(e,t){e=this.normalizeInputs(e),t=this.normalizeOutputs(t);let n=this.executor.execute(e,t);return n.length>1?n:n[0]}async executeAsync(e,t){e=this.normalizeInputs(e),t=this.normalizeOutputs(t);let n=await this.executor.executeAsync(e,t);return n.length>1?n:n[0]}convertTensorMapToTensorsMap(e){return Object.keys(e).reduce((t,n)=>(t[n]=[e[n]],t),{})}dispose(){this.executor.dispose(),this.initializer&&this.initializer.dispose(),this.resourceManager.dispose()}};async function Dz(r,e={}){if(r==null)throw new Error("modelUrl in loadGraphModel() cannot be null. 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t.set(r,o.value),o.value}function Yz(r,e=nI){return Xz(r,e)}function Xz(r,e,t=new Set){let n=r[0];if(t.has(n))throw new Error("Circular references are not supported.");let o=e(r);if(o.recurse&&o.value!==null)throw new Error("A deep zip function may not return both a value and recurse=true.");if(o.recurse)if(Dl(n)){let s=Array.isArray(n)?[]:{};t.add(n);for(let a in n){let i=r.map(u=>u[a]),l=Xz(i,e,t);s[a]=l}return t.delete(n),s}else throw new Error(`Can't recurse into non-iterable type: ${n}`);else return o.value}function nI(r){return r===null?null:Dl(r[0])?{value:null,recurse:!0}:{value:r,recurse:!1}}async function hy(r,e){let t=new Map;dy(r,e,t);for(let o of Array.from(t.keys())){let s=t.get(o);if(y.isPromise(s)){let a=await s;t.set(o,a)}}return dy(r,e,t)}function Dl(r){return r!=null&&!ArrayBuffer.isView(r)&&(Array.isArray(r)||typeof r=="object"&&!(r instanceof Ve))}function Zz(r){return r==null||Ute(r)||Array.isArray(r)||typeof r=="object"&&r instanceof 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Xt{constructor(e){super();this.upstream=e,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> Serial`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){return this.upstream.next()}},i3=class extends Xt{constructor(e,t){super();this.upstream=e,this.maxCount=t,this.count=0,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> Skip`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){for(;this.count++ Take`}async next(){return this.count++>=this.maxCount?{value:null,done:!0}:this.upstream.next()}},l3=class extends Xt{constructor(e,t,n=!0){super();this.upstream=e,this.batchSize=t,this.enableSmallLastBatch=n,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> RowMajorBatch`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){let e=[];for(;e.length0?{value:e,done:!1}:{value:null,done:!0};e.push(t.value)}return{value:e,done:!1}}},u3=class extends Xt{constructor(e,t){super();this.upstream=e,this.predicate=t,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> Filter`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){for(;;){let e=await this.upstream.next();if(e.done||this.predicate(e.value))return e;Ee(e.value)}}},c3=class extends Xt{constructor(e,t){super();this.upstream=e,this.transform=t}summary(){return`${this.upstream.summary()} -> Map`}async next(){let e=await this.upstream.next();if(e.done)return{value:null,done:!0};let t=Lo.getTensorsInContainer(e.value),n=this.transform(e.value),o=Lo.getTensorsInContainer(n);for(let s of t)Lo.isTensorInList(s,o)||s.dispose();return{value:n,done:!1}}},p3=class extends Xt{constructor(e,t){super();this.upstream=e,this.handler=t,this.count=0,this.lastRead=Promise.resolve({value:null,done:!1})}summary(){return`${this.upstream.summary()} -> handleErrors`}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){for(;;)try{return await this.upstream.next()}catch(e){if(!this.handler(e))return{value:null,done:!0}}}},iI=class extends Xt{constructor(e,t){super();this.upstream=e,this.transform=t}summary(){return`${this.upstream.summary()} -> AsyncMap`}async next(){let e=await this.upstream.next();if(e.done)return{value:null,done:!0};let t=Lo.getTensorsInContainer(e.value),n=await this.transform(e.value),o=Lo.getTensorsInContainer(n);for(let s of t)Lo.isTensorInList(s,o)||s.dispose();return{value:n,done:!1}}},rm=class extends Xt{constructor(){super();this.outputQueue=new tm,this.lastRead=Promise.resolve({value:null,done:!1})}async next(){return this.lastRead=this.lastRead.then(()=>this.serialNext()),this.lastRead}async serialNext(){for(;this.outputQueue.length()===0;)if(!await this.pump())return{value:null,done:!0};return{value:this.outputQueue.shift(),done:!1}}},m3=class extends rm{constructor(e,t){super();this.upstream=e,this.transform=t}summary(){return`${this.upstream.summary()} -> Flatmap`}async pump(){let e=await this.upstream.next();if(e.done)return!1;let t=Lo.getTensorsInContainer(e.value),n=this.transform(e.value),o=Lo.getTensorsInContainer(n);this.outputQueue.pushAll(n);for(let s of t)Lo.isTensorInList(s,o)||s.dispose();return!0}},sI=class extends Xt{constructor(e,t){super();this.baseErrorHandler=t,this.lastRead=null,this.iterator=null,this.moreIterators=e}summary(){return"TODO: fill in upstream of chained summaries -> Chained"}async next(){return this.lastRead=this.readFromChain(this.lastRead),this.lastRead}async readFromChain(e){if(await e,this.iterator==null){let n=await 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At least one type of data should be returned.")}summary(){return"microphone"}static async create(e={}){if(W().get("IS_NODE"))throw new Error("microphone API is only supported in browser environment.");let t=new yh(e);return await t.start(),t}async start(){try{this.stream=await navigator.mediaDevices.getUserMedia({audio:this.audioTrackConstraints==null?!0:this.audioTrackConstraints,video:!1})}catch(n){throw new Error(`Error thrown while initializing video stream: ${n.message}`)}if(!this.stream)throw new Error("Could not obtain audio from microphone.");let e=window.AudioContext||window.webkitAudioContext;if(this.audioContext=new e,!this.sampleRateHz)this.sampleRateHz=this.audioContext.sampleRate;else if(this.audioContext.sampleRate!==this.sampleRateHz)throw new Error(`Mismatch in sampling rate: Expected: ${this.sampleRateHz}; Actual: ${this.audioContext.sampleRate}`);let t=this.audioContext.createMediaStreamSource(this.stream);this.analyser=this.audioContext.createAnalyser(),this.analyser.fftSize=this.fftSize*2,this.analyser.smoothingTimeConstant=this.smoothingTimeConstant,t.connect(this.analyser),this.freqData=new Float32Array(this.fftSize),this.timeData=new Float32Array(this.fftSize)}async next(){if(this.isClosed)return{value:null,done:!0};let e,t,n=await this.getAudioData();if(this.includeSpectrogram){let o=this.flattenQueue(n.freqDataQueue);e=this.getTensorFromAudioDataArray(o,[this.numFrames,this.columnTruncateLength,1])}if(this.includeWaveform){let o=this.flattenQueue(n.timeDataQueue);t=this.getTensorFromAudioDataArray(o,[this.numFrames*this.fftSize,1])}return{value:{spectrogram:e,waveform:t},done:!1}}async capture(){return(await this.next()).value}async getAudioData(){let e=[],t=[],n=0;return new Promise(o=>{let s=setInterval(()=>{this.includeSpectrogram&&(this.analyser.getFloatFrequencyData(this.freqData),this.freqData[0]===-Infinity&&o({freqDataQueue:e,timeDataQueue:t}),e.push(this.freqData.slice(0,this.columnTruncateLength))),this.includeWaveform&&(this.analyser.getFloatTimeDomainData(this.timeData),t.push(this.timeData.slice())),++n===this.numFrames&&(clearInterval(s),o({freqDataQueue:e,timeDataQueue:t}))},this.fftSize/this.sampleRateHz*1e3)})}stop(){this.isClosed||(this.isClosed=!0,this.analyser.disconnect(),this.audioContext.close(),this.stream!=null&&this.stream.getTracks().length>0&&this.stream.getTracks()[0].stop())}toArray(){throw new Error("Can not convert infinite audio stream to array.")}getSampleRate(){return this.sampleRateHz}flattenQueue(e){let t=e[0].length,n=new Float32Array(e.length*t);return e.forEach((o,s)=>n.set(o,s*t)),n}getTensorFromAudioDataArray(e,t){let n=new Float32Array(y.sizeFromShape(t));return n.set(e,n.length-e.length),$r(n,t)}};var bh=class extends Xt{constructor(e,t){super();if(this.webcamVideoElement=e,this.webcamConfig=t,this.isClosed=!0,this.resize=!1,this.needToResize())if(this.resize=!0,this.cropSize=[this.webcamConfig.resizeHeight,this.webcamConfig.resizeWidth],this.cropBoxInd=Gt([0],"int32"),this.webcamConfig.centerCrop){let n=this.webcamConfig.resizeWidth*1/this.webcamVideoElement.width,o=this.webcamConfig.resizeHeight*1/this.webcamVideoElement.height,s=(1-n)/2,a=(1-o)/2,i=s+n,l=o+a;this.cropBox=Vi([a,s,l,i],[1,4])}else this.cropBox=Vi([0,0,1,1],[1,4])}summary(){return"webcam"}static async create(e,t={}){if(W().get("IS_NODE"))throw new Error("tf.data.webcam is only supported in browser environment.");if(!e){if(e=document.createElement("video"),!t.resizeWidth||!t.resizeHeight)throw new Error("Please provide webcam video element, or resizeWidth and resizeHeight to create a hidden video element.");e.width=t.resizeWidth,e.height=t.resizeHeight}let n=new bh(e,t);return await n.start(),n}async start(){this.webcamConfig.facingMode&&y.assert(this.webcamConfig.facingMode==="user"||this.webcamConfig.facingMode==="environment",()=>`Invalid webcam facing mode: ${this.webcamConfig.facingMode}. Please provide 'user' or 'environment'`);try{this.stream=await navigator.mediaDevices.getUserMedia({video:{deviceId:this.webcamConfig.deviceId,facingMode:this.webcamConfig.facingMode?this.webcamConfig.facingMode:"user",width:this.webcamVideoElement.width,height:this.webcamVideoElement.height}})}catch(e){throw e.message=`Error thrown while initializing video stream: ${e.message}`,e}if(!this.stream)throw new Error("Could not obtain video from webcam.");try{this.webcamVideoElement.srcObject=this.stream}catch(e){console.log(e),this.webcamVideoElement.src=window.URL.createObjectURL(this.stream)}return this.webcamVideoElement.play(),this.isClosed=!1,new Promise(e=>{this.webcamVideoElement.onloadedmetadata=()=>{e()}})}async next(){if(this.isClosed)return{value:null,done:!0};let e;try{e=sg.fromPixels(this.webcamVideoElement)}catch(t){throw new Error(`Error thrown converting video to pixels: ${JSON.stringify(t)}`)}if(this.resize)try{return{value:this.cropAndResizeFrame(e),done:!1}}catch(t){throw new Error(`Error thrown cropping the video: ${t.message}`)}finally{e.dispose()}else return{value:e,done:!1}}needToResize(){return!!(this.webcamConfig.resizeWidth&&this.webcamConfig.resizeHeight&&(this.webcamVideoElement.width!==this.webcamConfig.resizeWidth||this.webcamVideoElement.height!==this.webcamConfig.resizeHeight))}cropAndResizeFrame(e){return V(()=>{let t=ir(ne(e,"float32"),0),n;n=Rs.cropAndResize(t,this.cropBox,this.cropBoxInd,this.cropSize,"bilinear");let o=n.shape;return z(n,o.slice(1))})}async capture(){return(await this.next()).value}stop(){this.stream.getTracks().forEach(t=>t.stop());try{this.webcamVideoElement.srcObject=null}catch(t){console.log(t),this.webcamVideoElement.src=null}this.isClosed=!0}toArray(){throw new Error("Can not convert infinite video stream to array.")}};var wh=class{};var yy=class extends Xt{split(e){return new b3(this,e)}},b3=class extends yy{constructor(e,t){super();this.upstream=e,this.impl=new w3(e,t)}summary(){return this.impl.summary()}async next(){return this.impl.next()}},w3=class extends rm{constructor(e,t){super();this.upstream=e,this.separator=t,this.carryover=""}summary(){return`${this.upstream.summary()} -> Split('${this.separator}')`}async pump(){let e=await this.upstream.next();if(e.done)return this.carryover===""?!1:(this.outputQueue.push(this.carryover),this.carryover="",!0);let t=e.value.split(this.separator);t[0]=this.carryover+t[0];for(let n of t.slice(0,-1))this.outputQueue.push(n);return this.carryover=t[t.length-1],!0}};var uI=class extends Xt{decodeUTF8(){return new k3(this)}},k3=class extends yy{constructor(e){super();this.upstream=e,this.impl=new v3(e)}summary(){return this.impl.summary()}async next(){return this.impl.next()}},v3=class extends rm{constructor(e){super();if(this.upstream=e,W().get("IS_BROWSER"))this.decoder=new TextDecoder("utf-8");else{let{StringDecoder:t}=_3();this.decoder=new t("utf8")}}summary(){return`${this.upstream.summary()} -> Utf8`}async pump(){let e=await this.upstream.next(),t;if(e.done)return!1;t=e.value;let n;return W().get("IS_BROWSER")?n=this.decoder.decode(t,{stream:!0}):n=this.decoder.write(Buffer.from(t.buffer)),this.outputQueue.push(n),!0}};var _h=class extends uI{constructor(e,t={}){super();this.file=e,this.options=t,y.assert(e instanceof Uint8Array||(W().get("IS_BROWSER")?e instanceof File||e instanceof Blob:!1),()=>"FileChunkIterator only supports File, Blob and Uint8Array right now."),this.offset=t.offset||0,this.chunkSize=t.chunkSize||1024*1024}summary(){return`FileChunks ${this.file}`}async next(){return this.offset>=(this.file instanceof Uint8Array?this.file.byteLength:this.file.size)?{value:null,done:!0}:{value:await new Promise((t,n)=>{let o=this.offset+this.chunkSize;if(this.file instanceof Uint8Array)t(new Uint8Array(this.file.slice(this.offset,o)));else{let s=new FileReader;s.onload=i=>{let l=s.result;if(l instanceof ArrayBuffer&&(l=new Uint8Array(l)),!(l instanceof Uint8Array))return n(new TypeError("FileReader returned unknown type."));t(l)},s.onabort=i=>n(new Error("Aborted")),s.onerror=i=>n(new Error(i.type));let a=this.file.slice(this.offset,o);s.readAsArrayBuffer(a)}this.offset=o}),done:!1}}};async function C3(r,e={}){let t,n;typeof r=="string"?t=r:(t=r.url,n=Xte(r));let o=await y.fetch(t,n);if(o.ok){let s=new Uint8Array(await o.arrayBuffer());return new _h(s,e)}else throw new Error(o.statusText)}var Xte=r=>({method:r.method,headers:r.headers,body:r.body,mode:r.mode,credentials:r.credentials,cache:r.cache,redirect:r.redirect,referrer:r.referrer,integrity:r.integrity});function by(r){return typeof r=="string"&&r.substr(0,7)==="file://"}var kh=class extends wh{constructor(e,t={}){super();this.input=e,this.options=t}async iterator(){if(by(this.input)&&W().get("IS_NODE")){let e=require("fs");this.input=e.readFileSync(this.input.substr(7))}return new _h(this.input,this.options)}};var vh=class extends wh{constructor(e,t={}){super();this.url=e,this.fileOptions=t}async iterator(){return by(this.url)?new kh(this.url,this.fileOptions).iterator():C3(this.url,this.fileOptions)}};function I3(r,e={}){return new xh(new vh(r),e)}function N3(r){let e=dh(r);return pn(async()=>e)}function S3(r){return pn(async()=>{let e=await r();return dh(()=>e.next())})}async function T3(r,e){return bh.create(r,e)}async function E3(r){return yh.create(r)}var A3="3.1.0";var Yte={tfjs:wI,"tfjs-core":_I,"tfjs-data":kI,"tfjs-layers":vI,"tfjs-converter":CI,"tfjs-backend-cpu":v_,"tfjs-backend-webgl":zk,"tfjs-backend-wasm":w0};export{us as Abs,Xs as Acos,Ys as Acosh,sp as AdadeltaOptimizer,ip as AdagradOptimizer,ap as AdamOptimizer,lp as AdamaxOptimizer,xn as Add,Hn as AddN,Vl as All,Gl as Any,Kn as ArgMax,na as ArgMin,Zs as Asin,Js as Asinh,Qs as Atan,ti as Atan2,ei as Atanh,Xn as AvgPool,oa as AvgPool3D,Wl as AvgPool3DGrad,jl as AvgPoolGrad,dx as BackendWasm,Yn as BatchMatMul,sa as BatchToSpaceND,Ul as Bincount,zb as BroadcastTo,Kx as Callback,Ax as CallbackList,An as Cast,Zn as Ceil,Dn as ClipByValue,ql as Complex,ia as ComplexAbs,cs as Concat,Jn as Conv2D,Hl as Conv2DBackpropFilter,Qn as Conv2DBackpropInput,aa as Conv3D,Kl as Conv3DBackpropFilterV2,Xl as Conv3DBackpropInputV2,eo as Cos,ri as Cosh,ni as CropAndResize,to as Cumsum,$x as CustomCallback,Ja as DataStorage,Yl as DenseBincount,oi as DepthToSpace,ro as DepthwiseConv2dNative,Zl as DepthwiseConv2dNativeBackpropFilter,Jl as DepthwiseConv2dNativeBackpropInput,Ql as Diag,la as Dilation2D,Mc as Dilation2DBackpropFilter,Pc as Dilation2DBackpropInput,Pb as ENV,Yx as EarlyStopping,si as Elu,eu as EluGrad,Xh as Environment,ai as Equal,ii as Erf,oo as Exp,ps as ExpandDims,li as Expm1,tu as FFT,ua as Fill,ui as FlipLeftRight,so as Floor,io as FloorDiv,Lc as FromPixels,ao as FusedBatchNorm,vs as FusedConv2D,Cs as FusedDepthwiseConv2D,Kg as GPGPUContext,ci as GatherNd,ms as GatherV2,my as GraphModel,pi as Greater,lo as GreaterEqual,Dx as History,ru as IFFT,$n as Identity,nu as Imag,Dt as InputSpec,mi as IsFinite,fi as IsInf,di as IsNan,qs as KernelBackend,ca as LRN,su as LRNGrad,nd as LayerVariable,In as LayersModel,uo as LeakyRelu,hi as Less,gi as LessEqual,ou as LinSpace,co as Log,xi as Log1p,Bb as LogSoftmax,yi as LogicalAnd,Qa as LogicalNot,el as LogicalOr,Ku as MathBackendCPU,ec as MathBackendWebGL,po as Max,fo as MaxPool,pa as MaxPool3D,au as MaxPool3DGrad,iu as MaxPoolGrad,lu as MaxPoolWithArgmax,mo as Maximum,ho as Mean,go as Min,xo as Minimum,ma as MirrorPad,bi as Mod,up as MomentumOptimizer,uu as Multinomial,yo as Multiply,fs as Neg,_i as NonMaxSuppressionV3,ki as NonMaxSuppressionV4,vi as NonMaxSuppressionV5,wi as NotEqual,jI as OP_SCOPE_SUFFIX,bo as OneHot,ds as OnesLike,Or as Optimizer,hs as Pack,wo as PadV2,bV as Pool,_o as Pow,ko as Prelu,Ci as Prod,cp as RMSPropOptimizer,cn as RNN,fa as Range,Ub as Rank,cu as Real,no as RealDiv,Ii as Reciprocal,jt as Reduction,vo as Relu,Io as Relu6,gs as Reshape,Co as ResizeBilinear,mu as ResizeBilinearGrad,da as ResizeNearestNeighbor,pu as ResizeNearestNeighborGrad,No as Reverse,Fi as RotateWithOffset,So as Round,To as Rsqrt,cl as SGDOptimizer,Ni as ScatterNd,xs as Select,Si as Selu,Yi as Sequential,Ao as Sigmoid,Ei as Sign,Eo as Sin,Ti as Sinh,ys as Slice,Ro as Softmax,Ai as Softplus,ha as SpaceToBatchND,fu as SparseToDense,bs as SplitV,Do as Sqrt,ga as Square,Fo as SquaredDifference,Rn as Step,Di as StridedSlice,Oo as Sub,$o as Sum,Br as SymbolicTensor,$i as Tan,Po as Tanh,Ve as Tensor,ct as TensorBuffer,yn as Tile,Ri as TopK,Mo as Transpose,du as Unique,ws as Unpack,xa as UnsortedSegmentSum,nl as Variable,_s as ZerosLike,ks as _FusedMatMul,Et as abs,Am as acos,Dm as acosh,Q as add,ww as addN,_u as all,il as any,al as argMax,$m as argMin,Rm as asin,Fm as asinh,Om as atan,Pm as atan2,Mm as atanh,va as avgPool,Lm as avgPool3d,bw as backend,N as backend_util,yj as basicLSTMCell,zo as batchNorm,Cw as batchNorm2d,Iw as batchNorm3d,Nw as batchNorm4d,Ca as batchToSpaceND,Sw as bincount,NU as booleanMaskAsync,ll as broadcastTo,sg as browser,Ce as buffer,QL as callbacks,ne as cast,zm as ceil,sr as clipByValue,Fn as clone,bn as complex,Qe as concat,Tw as concat1d,Ew as concat2d,Aw as concat3d,Dw as concat4d,E0 as constraints,Cu as conv1d,Ur as conv2d,Iu as conv2dTranspose,Bm as conv3d,zj as conv3dTranspose,kV as copyRegisteredKernels,Ia as cos,Nu as cosh,pf as cosineWindow,Su as cumsum,qr as customGrad,wy as data,$w as denseBincount,pg as deprecationWarn,Vm as depthToSpace,Ns as depthwiseConv2d,rz as deregisterOp,Wc as device_util,Hj as diag,Gm as dilation2d,DG as disableDeprecationWarnings,Ee as dispose,$G as disposeVariables,de as div,jm as divNoNan,Rw as dot,s_ as dropout,Ss as elu,AG as enableDebugMode,EG as enableProdMode,i_ as enclosingPowerOfTwo,On as engine,W as env,wn as equal,Wm as erf,Yt as exp,ir as expandDims,Um as expm1,Jc as eye,Ra as fft,Na as fill,LG as findBackend,zG as findBackendFactory,Ts as floor,wu as floorDiv,Bk as forceHalfFloat,jo as fused,Bo as gather,o_ as gatherND,ig as gather_util,PG as getBackend,Yh as getGradient,Bc as getKernel,Cm as getKernelsForBackend,cA as gpgpu_util,kW as grad,vW as grads,er as greater,tn as greaterEqual,Bi as ifft,Tu as imag,Rs as image,OU as inTopKAsync,F0 as initializers,qx as input,Cr as io,Bu as irfft,Fw as isFinite,Ow as isInf,Pw as isNaN,$t as keep,Tr as kernel_impls,gC as layers,Sa as leakyRelu,Eu as less,Ln as lessEqual,p_ as linalg,Mw as linspace,Dz as loadGraphModel,BL as loadLayersModel,qm as localResponseNormalization,ar as log,Au as log1p,Lw as logSigmoid,Du as logSoftmax,Km as logSumExp,dr as logicalAnd,Ta as logicalNot,$u as logicalOr,Gw as logicalXor,Sq as losses,je as matMul,wN as math,lr as max,Ea as maxPool,Xm as maxPool3d,jw as maxPoolWithArgmax,Hr as maximum,gt as mean,Xc as memory,wC as metrics,zi as min,As as minimum,Ym as mirrorPad,Zm as mod,LL as model,_C as models,Qc as moments,EU as movingAverage,P as mul,JW as multiRNNCell,Ww as multinomial,Ue as neg,mf as nextFrame,ju as norm,Go as notEqual,Is as oneHot,Ir as ones,tr as onesLike,T as op,n4 as outerProduct,Rr as pad,i4 as pad1d,l4 as pad2d,c4 as pad3d,m4 as pad4d,Uw as pool,Fr as pow,Da as prelu,uw as print,Ru as prod,RG as profile,_4 as rand,E4 as randomGamma,bg as randomNormal,Ds as randomUniform,tp as range,OG as ready,ul as real,Jm as reciprocal,bu as registerBackend,VL as registerCallbackConstructor,Gb as registerGradient,tl as registerKernel,tz as registerOp,kC as regularizers,Nr as relu,Ou as relu6,MG as removeBackend,z as reshape,Kt as reverse,L4 as reverse1d,B4 as reverse2d,G4 as reverse3d,W4 as reverse4d,Fa as rfft,Qm as round,Pu as rsqrt,le as scalar,n_ as scatterND,ag as scatter_util,Mu as selu,ef as separableConv2d,zL as sequential,J as serialization,PN as setBackend,BG as setPlatform,rJ as setWasmPath,nJ as setWasmPaths,W_ as setWebGLContext,e_ as setdiff1dAsync,Eg as shared,Wr as sigmoid,tf as sign,Nq as signal,Lu as sin,zu as sinh,Fe as slice,rf as slice1d,wg as slice2d,nf as slice3d,rp as slice4d,or as slice_util,$a as softmax,Es as softplus,Aa as spaceToBatchND,cf as sparseToDense,Iq as spectral,ur as split,yt as sqrt,Pe as square,Vu as squaredDifference,_n as squeeze,Vt as stack,$s as step,of as stridedSlice,ue as sub,ye as sum,gu as sumOutType,sf as tan,Li as tanh,$r as tensor,Gt as tensor1d,Vi as tensor2d,fw as tensor3d,gU as tensor4d,xU as tensor5d,yU as tensor6d,Lo as tensor_util,RN as test_util,V as tidy,Mn as tile,FG as time,af as topk,pl as train,We as transpose,Gu as truncatedNormal,np as unique,_V as unregisterGradient,wV as unregisterKernel,lf as unsortedSegmentSum,cr as unstack,fr as upcastType,y as util,CW as valueAndGrad,IW as valueAndGrads,t_ as variable,hg as variableGrads,Yte as version,$z as version_converter,TG as version_core,v_ as version_cpu,Up as version_layers,w0 as version_wasm,zk as version_webgl,l8 as webgl,sA as webgl_util,Rt as where,uf as whereAsync,xt as zeros,Ie as zerosLike}; +/** + * @license + * Copyright 2017 Google LLC. All Rights Reserved. + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + * ============================================================================= + */ +/** + * @license + * Copyright 2018 Google LLC + * + * Use of this source code is governed by an MIT-style + * license that can be found in the LICENSE file or at + * https://opensource.org/licenses/MIT. + * ============================================================================= + */ +/** + * @license + * Copyright 2018 Google LLC. All Rights Reserved. + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + * + * ============================================================================= + */ +/** + * @license + * Copyright 2018 Google LLC. All Rights Reserved. + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + * ============================================================================= + */ +/** + * @license + * Copyright 2019 Google LLC + * + * Use of this source code is governed by an MIT-style + * license that can be found in the LICENSE file or at + * https://opensource.org/licenses/MIT. + * ============================================================================= + */ +/** + * @license + * Copyright 2019 Google LLC. All Rights Reserved. + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + * + * ============================================================================= + */ +/** + * @license + * Copyright 2019 Google LLC. All Rights Reserved. + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + * ============================================================================= + */ +/** + * @license + * Copyright 2020 Google Inc. All Rights Reserved. + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + * ============================================================================= + */ +/** + * @license + * Copyright 2020 Google LLC + * + * Use of this source code is governed by an MIT-style + * license that can be found in the LICENSE file or at + * https://opensource.org/licenses/MIT. + * ============================================================================= + */ +/** + * @license + * Copyright 2020 Google LLC. All Rights Reserved. + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + * ============================================================================= + */ +/** + * @license + * Copyright 2020 Google LLC. All Rights Reserved. + * Licensed under the Apache License, Version 2.0 (the License); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + * ============================================================================= + */ +/** + * @license + * Copyright 2021 Google LLC. All Rights Reserved. + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + * ============================================================================= + */ +/** @license See the LICENSE file. */ //# sourceMappingURL=tfjs.esm.js.map diff --git a/dist/tfjs.esm.js.map b/dist/tfjs.esm.js.map index 6a1f5ea0..690a0386 100644 --- a/dist/tfjs.esm.js.map +++ b/dist/tfjs.esm.js.map @@ -1,7 +1,7 @@ { "version": 3, - "sources": ["../src/tfjs/tf-node-gpu.ts"], - "sourcesContent": ["export * 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"../src/tfjs/tf-browser.ts"], + "sourcesContent": ["", "// A port of an algorithm by Johannes Baag\u00F8e , 2010\n// http://baagoe.com/en/RandomMusings/javascript/\n// https://github.com/nquinlan/better-random-numbers-for-javascript-mirror\n// Original work is under MIT license -\n\n// Copyright (C) 2010 by Johannes Baag\u00F8e \n//\n// Permission is hereby granted, free of charge, to any person obtaining a copy\n// of this software and associated documentation files (the \"Software\"), to deal\n// in the Software without restriction, including without limitation the rights\n// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell\n// copies of the Software, and to permit persons to whom the Software is\n// furnished to do so, subject to the following conditions:\n// \n// The above copyright notice and this permission notice shall be included in\n// all copies or substantial portions of the Software.\n// \n// THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\n// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\n// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN\n// THE SOFTWARE.\n\n\n\n(function(global, module, define) {\n\nfunction Alea(seed) {\n var me = this, mash = Mash();\n\n me.next = function() {\n var t = 2091639 * me.s0 + me.c * 2.3283064365386963e-10; // 2^-32\n me.s0 = me.s1;\n me.s1 = me.s2;\n return me.s2 = t - (me.c = t | 0);\n };\n\n // Apply the seeding algorithm from Baagoe.\n me.c = 1;\n me.s0 = mash(' ');\n me.s1 = mash(' ');\n me.s2 = mash(' ');\n me.s0 -= mash(seed);\n if (me.s0 < 0) { me.s0 += 1; }\n me.s1 -= mash(seed);\n if (me.s1 < 0) { me.s1 += 1; }\n me.s2 -= mash(seed);\n if (me.s2 < 0) { me.s2 += 1; }\n mash = null;\n}\n\nfunction copy(f, t) {\n t.c = f.c;\n t.s0 = f.s0;\n t.s1 = f.s1;\n t.s2 = f.s2;\n return t;\n}\n\nfunction impl(seed, opts) {\n var xg = new Alea(seed),\n state = opts && opts.state,\n prng = xg.next;\n prng.int32 = function() { return (xg.next() * 0x100000000) | 0; }\n prng.double = function() {\n return prng() + (prng() * 0x200000 | 0) * 1.1102230246251565e-16; // 2^-53\n };\n prng.quick = prng;\n if (state) {\n if (typeof(state) == 'object') copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nfunction Mash() {\n var n = 0xefc8249d;\n\n var mash = function(data) {\n data = data.toString();\n for (var i = 0; i < data.length; i++) {\n n += data.charCodeAt(i);\n var h = 0.02519603282416938 * n;\n n = h >>> 0;\n h -= n;\n h *= n;\n n = h >>> 0;\n h -= n;\n n += h * 0x100000000; // 2^32\n }\n return (n >>> 0) * 2.3283064365386963e-10; // 2^-32\n };\n\n return mash;\n}\n\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.alea = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n\n", "// A Javascript implementaion of the \"xor128\" prng algorithm by\n// George Marsaglia. See http://www.jstatsoft.org/v08/i14/paper\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this, strseed = '';\n\n me.x = 0;\n me.y = 0;\n me.z = 0;\n me.w = 0;\n\n // Set up generator function.\n me.next = function() {\n var t = me.x ^ (me.x << 11);\n me.x = me.y;\n me.y = me.z;\n me.z = me.w;\n return me.w ^= (me.w >>> 19) ^ t ^ (t >>> 8);\n };\n\n if (seed === (seed | 0)) {\n // Integer seed.\n me.x = seed;\n } else {\n // String seed.\n strseed += seed;\n }\n\n // Mix in string seed, then discard an initial batch of 64 values.\n for (var k = 0; k < strseed.length + 64; k++) {\n me.x ^= strseed.charCodeAt(k) | 0;\n me.next();\n }\n}\n\nfunction copy(f, t) {\n t.x = f.x;\n t.y = f.y;\n t.z = f.z;\n t.w = f.w;\n return t;\n}\n\nfunction impl(seed, opts) {\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (typeof(state) == 'object') copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.xor128 = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n\n", "// A Javascript implementaion of the \"xorwow\" prng algorithm by\n// George Marsaglia. See http://www.jstatsoft.org/v08/i14/paper\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this, strseed = '';\n\n // Set up generator function.\n me.next = function() {\n var t = (me.x ^ (me.x >>> 2));\n me.x = me.y; me.y = me.z; me.z = me.w; me.w = me.v;\n return (me.d = (me.d + 362437 | 0)) +\n (me.v = (me.v ^ (me.v << 4)) ^ (t ^ (t << 1))) | 0;\n };\n\n me.x = 0;\n me.y = 0;\n me.z = 0;\n me.w = 0;\n me.v = 0;\n\n if (seed === (seed | 0)) {\n // Integer seed.\n me.x = seed;\n } else {\n // String seed.\n strseed += seed;\n }\n\n // Mix in string seed, then discard an initial batch of 64 values.\n for (var k = 0; k < strseed.length + 64; k++) {\n me.x ^= strseed.charCodeAt(k) | 0;\n if (k == strseed.length) {\n me.d = me.x << 10 ^ me.x >>> 4;\n }\n me.next();\n }\n}\n\nfunction copy(f, t) {\n t.x = f.x;\n t.y = f.y;\n t.z = f.z;\n t.w = f.w;\n t.v = f.v;\n t.d = f.d;\n return t;\n}\n\nfunction impl(seed, opts) {\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (typeof(state) == 'object') copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.xorwow = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n\n", "// A Javascript implementaion of the \"xorshift7\" algorithm by\n// Fran\u00E7ois Panneton and Pierre L'ecuyer:\n// \"On the Xorgshift Random Number Generators\"\n// http://saluc.engr.uconn.edu/refs/crypto/rng/panneton05onthexorshift.pdf\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this;\n\n // Set up generator function.\n me.next = function() {\n // Update xor generator.\n var X = me.x, i = me.i, t, v, w;\n t = X[i]; t ^= (t >>> 7); v = t ^ (t << 24);\n t = X[(i + 1) & 7]; v ^= t ^ (t >>> 10);\n t = X[(i + 3) & 7]; v ^= t ^ (t >>> 3);\n t = X[(i + 4) & 7]; v ^= t ^ (t << 7);\n t = X[(i + 7) & 7]; t = t ^ (t << 13); v ^= t ^ (t << 9);\n X[i] = v;\n me.i = (i + 1) & 7;\n return v;\n };\n\n function init(me, seed) {\n var j, w, X = [];\n\n if (seed === (seed | 0)) {\n // Seed state array using a 32-bit integer.\n w = X[0] = seed;\n } else {\n // Seed state using a string.\n seed = '' + seed;\n for (j = 0; j < seed.length; ++j) {\n X[j & 7] = (X[j & 7] << 15) ^\n (seed.charCodeAt(j) + X[(j + 1) & 7] << 13);\n }\n }\n // Enforce an array length of 8, not all zeroes.\n while (X.length < 8) X.push(0);\n for (j = 0; j < 8 && X[j] === 0; ++j);\n if (j == 8) w = X[7] = -1; else w = X[j];\n\n me.x = X;\n me.i = 0;\n\n // Discard an initial 256 values.\n for (j = 256; j > 0; --j) {\n me.next();\n }\n }\n\n init(me, seed);\n}\n\nfunction copy(f, t) {\n t.x = f.x.slice();\n t.i = f.i;\n return t;\n}\n\nfunction impl(seed, opts) {\n if (seed == null) seed = +(new Date);\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (state.x) copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.xorshift7 = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n", "// A Javascript implementaion of Richard Brent's Xorgens xor4096 algorithm.\n//\n// This fast non-cryptographic random number generator is designed for\n// use in Monte-Carlo algorithms. It combines a long-period xorshift\n// generator with a Weyl generator, and it passes all common batteries\n// of stasticial tests for randomness while consuming only a few nanoseconds\n// for each prng generated. For background on the generator, see Brent's\n// paper: \"Some long-period random number generators using shifts and xors.\"\n// http://arxiv.org/pdf/1004.3115v1.pdf\n//\n// Usage:\n//\n// var xor4096 = require('xor4096');\n// random = xor4096(1); // Seed with int32 or string.\n// assert.equal(random(), 0.1520436450538547); // (0, 1) range, 53 bits.\n// assert.equal(random.int32(), 1806534897); // signed int32, 32 bits.\n//\n// For nonzero numeric keys, this impelementation provides a sequence\n// identical to that by Brent's xorgens 3 implementaion in C. This\n// implementation also provides for initalizing the generator with\n// string seeds, or for saving and restoring the state of the generator.\n//\n// On Chrome, this prng benchmarks about 2.1 times slower than\n// Javascript's built-in Math.random().\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this;\n\n // Set up generator function.\n me.next = function() {\n var w = me.w,\n X = me.X, i = me.i, t, v;\n // Update Weyl generator.\n me.w = w = (w + 0x61c88647) | 0;\n // Update xor generator.\n v = X[(i + 34) & 127];\n t = X[i = ((i + 1) & 127)];\n v ^= v << 13;\n t ^= t << 17;\n v ^= v >>> 15;\n t ^= t >>> 12;\n // Update Xor generator array state.\n v = X[i] = v ^ t;\n me.i = i;\n // Result is the combination.\n return (v + (w ^ (w >>> 16))) | 0;\n };\n\n function init(me, seed) {\n var t, v, i, j, w, X = [], limit = 128;\n if (seed === (seed | 0)) {\n // Numeric seeds initialize v, which is used to generates X.\n v = seed;\n seed = null;\n } else {\n // String seeds are mixed into v and X one character at a time.\n seed = seed + '\\0';\n v = 0;\n limit = Math.max(limit, seed.length);\n }\n // Initialize circular array and weyl value.\n for (i = 0, j = -32; j < limit; ++j) {\n // Put the unicode characters into the array, and shuffle them.\n if (seed) v ^= seed.charCodeAt((j + 32) % seed.length);\n // After 32 shuffles, take v as the starting w value.\n if (j === 0) w = v;\n v ^= v << 10;\n v ^= v >>> 15;\n v ^= v << 4;\n v ^= v >>> 13;\n if (j >= 0) {\n w = (w + 0x61c88647) | 0; // Weyl.\n t = (X[j & 127] ^= (v + w)); // Combine xor and weyl to init array.\n i = (0 == t) ? i + 1 : 0; // Count zeroes.\n }\n }\n // We have detected all zeroes; make the key nonzero.\n if (i >= 128) {\n X[(seed && seed.length || 0) & 127] = -1;\n }\n // Run the generator 512 times to further mix the state before using it.\n // Factoring this as a function slows the main generator, so it is just\n // unrolled here. The weyl generator is not advanced while warming up.\n i = 127;\n for (j = 4 * 128; j > 0; --j) {\n v = X[(i + 34) & 127];\n t = X[i = ((i + 1) & 127)];\n v ^= v << 13;\n t ^= t << 17;\n v ^= v >>> 15;\n t ^= t >>> 12;\n X[i] = v ^ t;\n }\n // Storing state as object members is faster than using closure variables.\n me.w = w;\n me.X = X;\n me.i = i;\n }\n\n init(me, seed);\n}\n\nfunction copy(f, t) {\n t.i = f.i;\n t.w = f.w;\n t.X = f.X.slice();\n return t;\n};\n\nfunction impl(seed, opts) {\n if (seed == null) seed = +(new Date);\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (state.X) copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.xor4096 = impl;\n}\n\n})(\n this, // window object or global\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n", "// A Javascript implementaion of the \"Tyche-i\" prng algorithm by\n// Samuel Neves and Filipe Araujo.\n// See https://eden.dei.uc.pt/~sneves/pubs/2011-snfa2.pdf\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this, strseed = '';\n\n // Set up generator function.\n me.next = function() {\n var b = me.b, c = me.c, d = me.d, a = me.a;\n b = (b << 25) ^ (b >>> 7) ^ c;\n c = (c - d) | 0;\n d = (d << 24) ^ (d >>> 8) ^ a;\n a = (a - b) | 0;\n me.b = b = (b << 20) ^ (b >>> 12) ^ c;\n me.c = c = (c - d) | 0;\n me.d = (d << 16) ^ (c >>> 16) ^ a;\n return me.a = (a - b) | 0;\n };\n\n /* The following is non-inverted tyche, which has better internal\n * bit diffusion, but which is about 25% slower than tyche-i in JS.\n me.next = function() {\n var a = me.a, b = me.b, c = me.c, d = me.d;\n a = (me.a + me.b | 0) >>> 0;\n d = me.d ^ a; d = d << 16 ^ d >>> 16;\n c = me.c + d | 0;\n b = me.b ^ c; b = b << 12 ^ d >>> 20;\n me.a = a = a + b | 0;\n d = d ^ a; me.d = d = d << 8 ^ d >>> 24;\n me.c = c = c + d | 0;\n b = b ^ c;\n return me.b = (b << 7 ^ b >>> 25);\n }\n */\n\n me.a = 0;\n me.b = 0;\n me.c = 2654435769 | 0;\n me.d = 1367130551;\n\n if (seed === Math.floor(seed)) {\n // Integer seed.\n me.a = (seed / 0x100000000) | 0;\n me.b = seed | 0;\n } else {\n // String seed.\n strseed += seed;\n }\n\n // Mix in string seed, then discard an initial batch of 64 values.\n for (var k = 0; k < strseed.length + 20; k++) {\n me.b ^= strseed.charCodeAt(k) | 0;\n me.next();\n }\n}\n\nfunction copy(f, t) {\n t.a = f.a;\n t.b = f.b;\n t.c = f.c;\n t.d = f.d;\n return t;\n};\n\nfunction impl(seed, opts) {\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (typeof(state) == 'object') copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.tychei = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n\n", "", "/*\nCopyright 2014 David Bau.\n\nPermission is hereby granted, free of charge, to any person obtaining\na copy of this software and associated documentation files (the\n\"Software\"), to deal in the Software without restriction, including\nwithout limitation the rights to use, copy, modify, merge, publish,\ndistribute, sublicense, and/or sell copies of the Software, and to\npermit persons to whom the Software is furnished to do so, subject to\nthe following conditions:\n\nThe above copyright notice and this permission notice shall be\nincluded in all copies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND,\nEXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF\nMERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.\nIN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY\nCLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,\nTORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE\nSOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.\n\n*/\n\n(function (pool, math) {\n//\n// The following constants are related to IEEE 754 limits.\n//\nvar global = this,\n width = 256, // each RC4 output is 0 <= x < 256\n chunks = 6, // at least six RC4 outputs for each double\n digits = 52, // there are 52 significant digits in a double\n rngname = 'random', // rngname: name for Math.random and Math.seedrandom\n startdenom = math.pow(width, chunks),\n significance = math.pow(2, digits),\n overflow = significance * 2,\n mask = width - 1,\n nodecrypto; // node.js crypto module, initialized at the bottom.\n\n//\n// seedrandom()\n// This is the seedrandom function described above.\n//\nfunction seedrandom(seed, options, callback) {\n var key = [];\n options = (options == true) ? { entropy: true } : (options || {});\n\n // Flatten the seed string or build one from local entropy if needed.\n var shortseed = mixkey(flatten(\n options.entropy ? [seed, tostring(pool)] :\n (seed == null) ? autoseed() : seed, 3), key);\n\n // Use the seed to initialize an ARC4 generator.\n var arc4 = new ARC4(key);\n\n // This function returns a random double in [0, 1) that contains\n // randomness in every bit of the mantissa of the IEEE 754 value.\n var prng = function() {\n var n = arc4.g(chunks), // Start with a numerator n < 2 ^ 48\n d = startdenom, // and denominator d = 2 ^ 48.\n x = 0; // and no 'extra last byte'.\n while (n < significance) { // Fill up all significant digits by\n n = (n + x) * width; // shifting numerator and\n d *= width; // denominator and generating a\n x = arc4.g(1); // new least-significant-byte.\n }\n while (n >= overflow) { // To avoid rounding up, before adding\n n /= 2; // last byte, shift everything\n d /= 2; // right using integer math until\n x >>>= 1; // we have exactly the desired bits.\n }\n return (n + x) / d; // Form the number within [0, 1).\n };\n\n prng.int32 = function() { return arc4.g(4) | 0; }\n prng.quick = function() { return arc4.g(4) / 0x100000000; }\n prng.double = prng;\n\n // Mix the randomness into accumulated entropy.\n mixkey(tostring(arc4.S), pool);\n\n // Calling convention: what to return as a function of prng, seed, is_math.\n return (options.pass || callback ||\n function(prng, seed, is_math_call, state) {\n if (state) {\n // Load the arc4 state from the given state if it has an S array.\n if (state.S) { copy(state, arc4); }\n // Only provide the .state method if requested via options.state.\n prng.state = function() { return copy(arc4, {}); }\n }\n\n // If called as a method of Math (Math.seedrandom()), mutate\n // Math.random because that is how seedrandom.js has worked since v1.0.\n if (is_math_call) { math[rngname] = prng; return seed; }\n\n // Otherwise, it is a newer calling convention, so return the\n // prng directly.\n else return prng;\n })(\n prng,\n shortseed,\n 'global' in options ? options.global : (this == math),\n options.state);\n}\nmath['seed' + rngname] = seedrandom;\n\n//\n// ARC4\n//\n// An ARC4 implementation. The constructor takes a key in the form of\n// an array of at most (width) integers that should be 0 <= x < (width).\n//\n// The g(count) method returns a pseudorandom integer that concatenates\n// the next (count) outputs from ARC4. Its return value is a number x\n// that is in the range 0 <= x < (width ^ count).\n//\nfunction ARC4(key) {\n var t, keylen = key.length,\n me = this, i = 0, j = me.i = me.j = 0, s = me.S = [];\n\n // The empty key [] is treated as [0].\n if (!keylen) { key = [keylen++]; }\n\n // Set up S using the standard key scheduling algorithm.\n while (i < width) {\n s[i] = i++;\n }\n for (i = 0; i < width; i++) {\n s[i] = s[j = mask & (j + key[i % keylen] + (t = s[i]))];\n s[j] = t;\n }\n\n // The \"g\" method returns the next (count) outputs as one number.\n (me.g = function(count) {\n // Using instance members instead of closure state nearly doubles speed.\n var t, r = 0,\n i = me.i, j = me.j, s = me.S;\n while (count--) {\n t = s[i = mask & (i + 1)];\n r = r * width + s[mask & ((s[i] = s[j = mask & (j + t)]) + (s[j] = t))];\n }\n me.i = i; me.j = j;\n return r;\n // For robust unpredictability, the function call below automatically\n // discards an initial batch of values. This is called RC4-drop[256].\n // See http://google.com/search?q=rsa+fluhrer+response&btnI\n })(width);\n}\n\n//\n// copy()\n// Copies internal state of ARC4 to or from a plain object.\n//\nfunction copy(f, t) {\n t.i = f.i;\n t.j = f.j;\n t.S = f.S.slice();\n return t;\n};\n\n//\n// flatten()\n// Converts an object tree to nested arrays of strings.\n//\nfunction flatten(obj, depth) {\n var result = [], typ = (typeof obj), prop;\n if (depth && typ == 'object') {\n for (prop in obj) {\n try { result.push(flatten(obj[prop], depth - 1)); } catch (e) {}\n }\n }\n return (result.length ? result : typ == 'string' ? obj : obj + '\\0');\n}\n\n//\n// mixkey()\n// Mixes a string seed into a key that is an array of integers, and\n// returns a shortened string seed that is equivalent to the result key.\n//\nfunction mixkey(seed, key) {\n var stringseed = seed + '', smear, j = 0;\n while (j < stringseed.length) {\n key[mask & j] =\n mask & ((smear ^= key[mask & j] * 19) + stringseed.charCodeAt(j++));\n }\n return tostring(key);\n}\n\n//\n// autoseed()\n// Returns an object for autoseeding, using window.crypto and Node crypto\n// module if available.\n//\nfunction autoseed() {\n try {\n var out;\n if (nodecrypto && (out = nodecrypto.randomBytes)) {\n // The use of 'out' to remember randomBytes makes tight minified code.\n out = out(width);\n } else {\n out = new Uint8Array(width);\n (global.crypto || global.msCrypto).getRandomValues(out);\n }\n return tostring(out);\n } catch (e) {\n var browser = global.navigator,\n plugins = browser && browser.plugins;\n return [+new Date, global, plugins, global.screen, tostring(pool)];\n }\n}\n\n//\n// tostring()\n// Converts an array of charcodes to a string\n//\nfunction tostring(a) {\n return String.fromCharCode.apply(0, a);\n}\n\n//\n// When seedrandom.js is loaded, we immediately mix a few bits\n// from the built-in RNG into the entropy pool. Because we do\n// not want to interfere with deterministic PRNG state later,\n// seedrandom will not call math.random on its own again after\n// initialization.\n//\nmixkey(math.random(), pool);\n\n//\n// Nodejs and AMD support: export the implementation as a module using\n// either convention.\n//\nif ((typeof module) == 'object' && module.exports) {\n module.exports = seedrandom;\n // When in node.js, try using crypto package for autoseeding.\n try {\n nodecrypto = require('crypto');\n } catch (ex) {}\n} else if ((typeof define) == 'function' && define.amd) {\n define(function() { return seedrandom; });\n}\n\n// End anonymous scope, and pass initial values.\n})(\n [], // pool: entropy pool starts empty\n Math // math: package containing random, pow, and seedrandom\n);\n", "// A library of seedable RNGs implemented in Javascript.\n//\n// Usage:\n//\n// var seedrandom = require('seedrandom');\n// var random = seedrandom(1); // or any seed.\n// var x = random(); // 0 <= x < 1. Every bit is random.\n// var x = random.quick(); // 0 <= x < 1. 32 bits of randomness.\n\n// alea, a 53-bit multiply-with-carry generator by Johannes Baag\u00F8e.\n// Period: ~2^116\n// Reported to pass all BigCrush tests.\nvar alea = require('./lib/alea');\n\n// xor128, a pure xor-shift generator by George Marsaglia.\n// Period: 2^128-1.\n// Reported to fail: MatrixRank and LinearComp.\nvar xor128 = require('./lib/xor128');\n\n// xorwow, George Marsaglia's 160-bit xor-shift combined plus weyl.\n// Period: 2^192-2^32\n// Reported to fail: CollisionOver, SimpPoker, and LinearComp.\nvar xorwow = require('./lib/xorwow');\n\n// xorshift7, by Fran\u00E7ois Panneton and Pierre L'ecuyer, takes\n// a different approach: it adds robustness by allowing more shifts\n// than Marsaglia's original three. It is a 7-shift generator\n// with 256 bits, that passes BigCrush with no systmatic failures.\n// Period 2^256-1.\n// No systematic BigCrush failures reported.\nvar xorshift7 = require('./lib/xorshift7');\n\n// xor4096, by Richard Brent, is a 4096-bit xor-shift with a\n// very long period that also adds a Weyl generator. It also passes\n// BigCrush with no systematic failures. Its long period may\n// be useful if you have many generators and need to avoid\n// collisions.\n// Period: 2^4128-2^32.\n// No systematic BigCrush failures reported.\nvar xor4096 = require('./lib/xor4096');\n\n// Tyche-i, by Samuel Neves and Filipe Araujo, is a bit-shifting random\n// number generator derived from ChaCha, a modern stream cipher.\n// https://eden.dei.uc.pt/~sneves/pubs/2011-snfa2.pdf\n// Period: ~2^127\n// No systematic BigCrush failures reported.\nvar tychei = require('./lib/tychei');\n\n// The original ARC4-based prng included in this library.\n// Period: ~2^1600\nvar sr = require('./seedrandom');\n\nsr.alea = alea;\nsr.xor128 = xor128;\nsr.xorwow = xorwow;\nsr.xorshift7 = xorshift7;\nsr.xor4096 = xor4096;\nsr.tychei = tychei;\n\nmodule.exports = sr;\n", "// A port of an algorithm by Johannes Baag\u00F8e , 2010\n// http://baagoe.com/en/RandomMusings/javascript/\n// https://github.com/nquinlan/better-random-numbers-for-javascript-mirror\n// Original work is under MIT license -\n\n// Copyright (C) 2010 by Johannes Baag\u00F8e \n//\n// Permission is hereby granted, free of charge, to any person obtaining a copy\n// of this software and associated documentation files (the \"Software\"), to deal\n// in the Software without restriction, including without limitation the rights\n// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell\n// copies of the Software, and to permit persons to whom the Software is\n// furnished to do so, subject to the following conditions:\n// \n// The above copyright notice and this permission notice shall be included in\n// all copies or substantial portions of the Software.\n// \n// THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\n// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\n// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN\n// THE SOFTWARE.\n\n\n\n(function(global, module, define) {\n\nfunction Alea(seed) {\n var me = this, mash = Mash();\n\n me.next = function() {\n var t = 2091639 * me.s0 + me.c * 2.3283064365386963e-10; // 2^-32\n me.s0 = me.s1;\n me.s1 = me.s2;\n return me.s2 = t - (me.c = t | 0);\n };\n\n // Apply the seeding algorithm from Baagoe.\n me.c = 1;\n me.s0 = mash(' ');\n me.s1 = mash(' ');\n me.s2 = mash(' ');\n me.s0 -= mash(seed);\n if (me.s0 < 0) { me.s0 += 1; }\n me.s1 -= mash(seed);\n if (me.s1 < 0) { me.s1 += 1; }\n me.s2 -= mash(seed);\n if (me.s2 < 0) { me.s2 += 1; }\n mash = null;\n}\n\nfunction copy(f, t) {\n t.c = f.c;\n t.s0 = f.s0;\n t.s1 = f.s1;\n t.s2 = f.s2;\n return t;\n}\n\nfunction impl(seed, opts) {\n var xg = new Alea(seed),\n state = opts && opts.state,\n prng = xg.next;\n prng.int32 = function() { return (xg.next() * 0x100000000) | 0; }\n prng.double = function() {\n return prng() + (prng() * 0x200000 | 0) * 1.1102230246251565e-16; // 2^-53\n };\n prng.quick = prng;\n if (state) {\n if (typeof(state) == 'object') copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nfunction Mash() {\n var n = 0xefc8249d;\n\n var mash = function(data) {\n data = data.toString();\n for (var i = 0; i < data.length; i++) {\n n += data.charCodeAt(i);\n var h = 0.02519603282416938 * n;\n n = h >>> 0;\n h -= n;\n h *= n;\n n = h >>> 0;\n h -= n;\n n += h * 0x100000000; // 2^32\n }\n return (n >>> 0) * 2.3283064365386963e-10; // 2^-32\n };\n\n return mash;\n}\n\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.alea = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n\n", "// A Javascript implementaion of the \"xor128\" prng algorithm by\n// George Marsaglia. See http://www.jstatsoft.org/v08/i14/paper\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this, strseed = '';\n\n me.x = 0;\n me.y = 0;\n me.z = 0;\n me.w = 0;\n\n // Set up generator function.\n me.next = function() {\n var t = me.x ^ (me.x << 11);\n me.x = me.y;\n me.y = me.z;\n me.z = me.w;\n return me.w ^= (me.w >>> 19) ^ t ^ (t >>> 8);\n };\n\n if (seed === (seed | 0)) {\n // Integer seed.\n me.x = seed;\n } else {\n // String seed.\n strseed += seed;\n }\n\n // Mix in string seed, then discard an initial batch of 64 values.\n for (var k = 0; k < strseed.length + 64; k++) {\n me.x ^= strseed.charCodeAt(k) | 0;\n me.next();\n }\n}\n\nfunction copy(f, t) {\n t.x = f.x;\n t.y = f.y;\n t.z = f.z;\n t.w = f.w;\n return t;\n}\n\nfunction impl(seed, opts) {\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (typeof(state) == 'object') copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.xor128 = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n\n", "// A Javascript implementaion of the \"xorwow\" prng algorithm by\n// George Marsaglia. See http://www.jstatsoft.org/v08/i14/paper\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this, strseed = '';\n\n // Set up generator function.\n me.next = function() {\n var t = (me.x ^ (me.x >>> 2));\n me.x = me.y; me.y = me.z; me.z = me.w; me.w = me.v;\n return (me.d = (me.d + 362437 | 0)) +\n (me.v = (me.v ^ (me.v << 4)) ^ (t ^ (t << 1))) | 0;\n };\n\n me.x = 0;\n me.y = 0;\n me.z = 0;\n me.w = 0;\n me.v = 0;\n\n if (seed === (seed | 0)) {\n // Integer seed.\n me.x = seed;\n } else {\n // String seed.\n strseed += seed;\n }\n\n // Mix in string seed, then discard an initial batch of 64 values.\n for (var k = 0; k < strseed.length + 64; k++) {\n me.x ^= strseed.charCodeAt(k) | 0;\n if (k == strseed.length) {\n me.d = me.x << 10 ^ me.x >>> 4;\n }\n me.next();\n }\n}\n\nfunction copy(f, t) {\n t.x = f.x;\n t.y = f.y;\n t.z = f.z;\n t.w = f.w;\n t.v = f.v;\n t.d = f.d;\n return t;\n}\n\nfunction impl(seed, opts) {\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (typeof(state) == 'object') copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.xorwow = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n\n", "// A Javascript implementaion of the \"xorshift7\" algorithm by\n// Fran\u00E7ois Panneton and Pierre L'ecuyer:\n// \"On the Xorgshift Random Number Generators\"\n// http://saluc.engr.uconn.edu/refs/crypto/rng/panneton05onthexorshift.pdf\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this;\n\n // Set up generator function.\n me.next = function() {\n // Update xor generator.\n var X = me.x, i = me.i, t, v, w;\n t = X[i]; t ^= (t >>> 7); v = t ^ (t << 24);\n t = X[(i + 1) & 7]; v ^= t ^ (t >>> 10);\n t = X[(i + 3) & 7]; v ^= t ^ (t >>> 3);\n t = X[(i + 4) & 7]; v ^= t ^ (t << 7);\n t = X[(i + 7) & 7]; t = t ^ (t << 13); v ^= t ^ (t << 9);\n X[i] = v;\n me.i = (i + 1) & 7;\n return v;\n };\n\n function init(me, seed) {\n var j, w, X = [];\n\n if (seed === (seed | 0)) {\n // Seed state array using a 32-bit integer.\n w = X[0] = seed;\n } else {\n // Seed state using a string.\n seed = '' + seed;\n for (j = 0; j < seed.length; ++j) {\n X[j & 7] = (X[j & 7] << 15) ^\n (seed.charCodeAt(j) + X[(j + 1) & 7] << 13);\n }\n }\n // Enforce an array length of 8, not all zeroes.\n while (X.length < 8) X.push(0);\n for (j = 0; j < 8 && X[j] === 0; ++j);\n if (j == 8) w = X[7] = -1; else w = X[j];\n\n me.x = X;\n me.i = 0;\n\n // Discard an initial 256 values.\n for (j = 256; j > 0; --j) {\n me.next();\n }\n }\n\n init(me, seed);\n}\n\nfunction copy(f, t) {\n t.x = f.x.slice();\n t.i = f.i;\n return t;\n}\n\nfunction impl(seed, opts) {\n if (seed == null) seed = +(new Date);\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (state.x) copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.xorshift7 = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n", "// A Javascript implementaion of Richard Brent's Xorgens xor4096 algorithm.\n//\n// This fast non-cryptographic random number generator is designed for\n// use in Monte-Carlo algorithms. It combines a long-period xorshift\n// generator with a Weyl generator, and it passes all common batteries\n// of stasticial tests for randomness while consuming only a few nanoseconds\n// for each prng generated. For background on the generator, see Brent's\n// paper: \"Some long-period random number generators using shifts and xors.\"\n// http://arxiv.org/pdf/1004.3115v1.pdf\n//\n// Usage:\n//\n// var xor4096 = require('xor4096');\n// random = xor4096(1); // Seed with int32 or string.\n// assert.equal(random(), 0.1520436450538547); // (0, 1) range, 53 bits.\n// assert.equal(random.int32(), 1806534897); // signed int32, 32 bits.\n//\n// For nonzero numeric keys, this impelementation provides a sequence\n// identical to that by Brent's xorgens 3 implementaion in C. This\n// implementation also provides for initalizing the generator with\n// string seeds, or for saving and restoring the state of the generator.\n//\n// On Chrome, this prng benchmarks about 2.1 times slower than\n// Javascript's built-in Math.random().\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this;\n\n // Set up generator function.\n me.next = function() {\n var w = me.w,\n X = me.X, i = me.i, t, v;\n // Update Weyl generator.\n me.w = w = (w + 0x61c88647) | 0;\n // Update xor generator.\n v = X[(i + 34) & 127];\n t = X[i = ((i + 1) & 127)];\n v ^= v << 13;\n t ^= t << 17;\n v ^= v >>> 15;\n t ^= t >>> 12;\n // Update Xor generator array state.\n v = X[i] = v ^ t;\n me.i = i;\n // Result is the combination.\n return (v + (w ^ (w >>> 16))) | 0;\n };\n\n function init(me, seed) {\n var t, v, i, j, w, X = [], limit = 128;\n if (seed === (seed | 0)) {\n // Numeric seeds initialize v, which is used to generates X.\n v = seed;\n seed = null;\n } else {\n // String seeds are mixed into v and X one character at a time.\n seed = seed + '\\0';\n v = 0;\n limit = Math.max(limit, seed.length);\n }\n // Initialize circular array and weyl value.\n for (i = 0, j = -32; j < limit; ++j) {\n // Put the unicode characters into the array, and shuffle them.\n if (seed) v ^= seed.charCodeAt((j + 32) % seed.length);\n // After 32 shuffles, take v as the starting w value.\n if (j === 0) w = v;\n v ^= v << 10;\n v ^= v >>> 15;\n v ^= v << 4;\n v ^= v >>> 13;\n if (j >= 0) {\n w = (w + 0x61c88647) | 0; // Weyl.\n t = (X[j & 127] ^= (v + w)); // Combine xor and weyl to init array.\n i = (0 == t) ? i + 1 : 0; // Count zeroes.\n }\n }\n // We have detected all zeroes; make the key nonzero.\n if (i >= 128) {\n X[(seed && seed.length || 0) & 127] = -1;\n }\n // Run the generator 512 times to further mix the state before using it.\n // Factoring this as a function slows the main generator, so it is just\n // unrolled here. The weyl generator is not advanced while warming up.\n i = 127;\n for (j = 4 * 128; j > 0; --j) {\n v = X[(i + 34) & 127];\n t = X[i = ((i + 1) & 127)];\n v ^= v << 13;\n t ^= t << 17;\n v ^= v >>> 15;\n t ^= t >>> 12;\n X[i] = v ^ t;\n }\n // Storing state as object members is faster than using closure variables.\n me.w = w;\n me.X = X;\n me.i = i;\n }\n\n init(me, seed);\n}\n\nfunction copy(f, t) {\n t.i = f.i;\n t.w = f.w;\n t.X = f.X.slice();\n return t;\n};\n\nfunction impl(seed, opts) {\n if (seed == null) seed = +(new Date);\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (state.X) copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.xor4096 = impl;\n}\n\n})(\n this, // window object or global\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n", "// A Javascript implementaion of the \"Tyche-i\" prng algorithm by\n// Samuel Neves and Filipe Araujo.\n// See https://eden.dei.uc.pt/~sneves/pubs/2011-snfa2.pdf\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this, strseed = '';\n\n // Set up generator function.\n me.next = function() {\n var b = me.b, c = me.c, d = me.d, a = me.a;\n b = (b << 25) ^ (b >>> 7) ^ c;\n c = (c - d) | 0;\n d = (d << 24) ^ (d >>> 8) ^ a;\n a = (a - b) | 0;\n me.b = b = (b << 20) ^ (b >>> 12) ^ c;\n me.c = c = (c - d) | 0;\n me.d = (d << 16) ^ (c >>> 16) ^ a;\n return me.a = (a - b) | 0;\n };\n\n /* The following is non-inverted tyche, which has better internal\n * bit diffusion, but which is about 25% slower than tyche-i in JS.\n me.next = function() {\n var a = me.a, b = me.b, c = me.c, d = me.d;\n a = (me.a + me.b | 0) >>> 0;\n d = me.d ^ a; d = d << 16 ^ d >>> 16;\n c = me.c + d | 0;\n b = me.b ^ c; b = b << 12 ^ d >>> 20;\n me.a = a = a + b | 0;\n d = d ^ a; me.d = d = d << 8 ^ d >>> 24;\n me.c = c = c + d | 0;\n b = b ^ c;\n return me.b = (b << 7 ^ b >>> 25);\n }\n */\n\n me.a = 0;\n me.b = 0;\n me.c = 2654435769 | 0;\n me.d = 1367130551;\n\n if (seed === Math.floor(seed)) {\n // Integer seed.\n me.a = (seed / 0x100000000) | 0;\n me.b = seed | 0;\n } else {\n // String seed.\n strseed += seed;\n }\n\n // Mix in string seed, then discard an initial batch of 64 values.\n for (var k = 0; k < strseed.length + 20; k++) {\n me.b ^= strseed.charCodeAt(k) | 0;\n me.next();\n }\n}\n\nfunction copy(f, t) {\n t.a = f.a;\n t.b = f.b;\n t.c = f.c;\n t.d = f.d;\n return t;\n};\n\nfunction impl(seed, opts) {\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (typeof(state) == 'object') copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.tychei = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n\n", "/*\nCopyright 2014 David Bau.\n\nPermission is hereby granted, free of charge, to any person obtaining\na copy of this software and associated documentation files (the\n\"Software\"), to deal in the Software without restriction, including\nwithout limitation the rights to use, copy, modify, merge, publish,\ndistribute, sublicense, and/or sell copies of the Software, and to\npermit persons to whom the Software is furnished to do so, subject to\nthe following conditions:\n\nThe above copyright notice and this permission notice shall be\nincluded in all copies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND,\nEXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF\nMERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.\nIN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY\nCLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,\nTORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE\nSOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.\n\n*/\n\n(function (pool, math) {\n//\n// The following constants are related to IEEE 754 limits.\n//\nvar global = this,\n width = 256, // each RC4 output is 0 <= x < 256\n chunks = 6, // at least six RC4 outputs for each double\n digits = 52, // there are 52 significant digits in a double\n rngname = 'random', // rngname: name for Math.random and Math.seedrandom\n startdenom = math.pow(width, chunks),\n significance = math.pow(2, digits),\n overflow = significance * 2,\n mask = width - 1,\n nodecrypto; // node.js crypto module, initialized at the bottom.\n\n//\n// seedrandom()\n// This is the seedrandom function described above.\n//\nfunction seedrandom(seed, options, callback) {\n var key = [];\n options = (options == true) ? { entropy: true } : (options || {});\n\n // Flatten the seed string or build one from local entropy if needed.\n var shortseed = mixkey(flatten(\n options.entropy ? [seed, tostring(pool)] :\n (seed == null) ? autoseed() : seed, 3), key);\n\n // Use the seed to initialize an ARC4 generator.\n var arc4 = new ARC4(key);\n\n // This function returns a random double in [0, 1) that contains\n // randomness in every bit of the mantissa of the IEEE 754 value.\n var prng = function() {\n var n = arc4.g(chunks), // Start with a numerator n < 2 ^ 48\n d = startdenom, // and denominator d = 2 ^ 48.\n x = 0; // and no 'extra last byte'.\n while (n < significance) { // Fill up all significant digits by\n n = (n + x) * width; // shifting numerator and\n d *= width; // denominator and generating a\n x = arc4.g(1); // new least-significant-byte.\n }\n while (n >= overflow) { // To avoid rounding up, before adding\n n /= 2; // last byte, shift everything\n d /= 2; // right using integer math until\n x >>>= 1; // we have exactly the desired bits.\n }\n return (n + x) / d; // Form the number within [0, 1).\n };\n\n prng.int32 = function() { return arc4.g(4) | 0; }\n prng.quick = function() { return arc4.g(4) / 0x100000000; }\n prng.double = prng;\n\n // Mix the randomness into accumulated entropy.\n mixkey(tostring(arc4.S), pool);\n\n // Calling convention: what to return as a function of prng, seed, is_math.\n return (options.pass || callback ||\n function(prng, seed, is_math_call, state) {\n if (state) {\n // Load the arc4 state from the given state if it has an S array.\n if (state.S) { copy(state, arc4); }\n // Only provide the .state method if requested via options.state.\n prng.state = function() { return copy(arc4, {}); }\n }\n\n // If called as a method of Math (Math.seedrandom()), mutate\n // Math.random because that is how seedrandom.js has worked since v1.0.\n if (is_math_call) { math[rngname] = prng; return seed; }\n\n // Otherwise, it is a newer calling convention, so return the\n // prng directly.\n else return prng;\n })(\n prng,\n shortseed,\n 'global' in options ? options.global : (this == math),\n options.state);\n}\nmath['seed' + rngname] = seedrandom;\n\n//\n// ARC4\n//\n// An ARC4 implementation. The constructor takes a key in the form of\n// an array of at most (width) integers that should be 0 <= x < (width).\n//\n// The g(count) method returns a pseudorandom integer that concatenates\n// the next (count) outputs from ARC4. Its return value is a number x\n// that is in the range 0 <= x < (width ^ count).\n//\nfunction ARC4(key) {\n var t, keylen = key.length,\n me = this, i = 0, j = me.i = me.j = 0, s = me.S = [];\n\n // The empty key [] is treated as [0].\n if (!keylen) { key = [keylen++]; }\n\n // Set up S using the standard key scheduling algorithm.\n while (i < width) {\n s[i] = i++;\n }\n for (i = 0; i < width; i++) {\n s[i] = s[j = mask & (j + key[i % keylen] + (t = s[i]))];\n s[j] = t;\n }\n\n // The \"g\" method returns the next (count) outputs as one number.\n (me.g = function(count) {\n // Using instance members instead of closure state nearly doubles speed.\n var t, r = 0,\n i = me.i, j = me.j, s = me.S;\n while (count--) {\n t = s[i = mask & (i + 1)];\n r = r * width + s[mask & ((s[i] = s[j = mask & (j + t)]) + (s[j] = t))];\n }\n me.i = i; me.j = j;\n return r;\n // For robust unpredictability, the function call below automatically\n // discards an initial batch of values. This is called RC4-drop[256].\n // See http://google.com/search?q=rsa+fluhrer+response&btnI\n })(width);\n}\n\n//\n// copy()\n// Copies internal state of ARC4 to or from a plain object.\n//\nfunction copy(f, t) {\n t.i = f.i;\n t.j = f.j;\n t.S = f.S.slice();\n return t;\n};\n\n//\n// flatten()\n// Converts an object tree to nested arrays of strings.\n//\nfunction flatten(obj, depth) {\n var result = [], typ = (typeof obj), prop;\n if (depth && typ == 'object') {\n for (prop in obj) {\n try { result.push(flatten(obj[prop], depth - 1)); } catch (e) {}\n }\n }\n return (result.length ? result : typ == 'string' ? obj : obj + '\\0');\n}\n\n//\n// mixkey()\n// Mixes a string seed into a key that is an array of integers, and\n// returns a shortened string seed that is equivalent to the result key.\n//\nfunction mixkey(seed, key) {\n var stringseed = seed + '', smear, j = 0;\n while (j < stringseed.length) {\n key[mask & j] =\n mask & ((smear ^= key[mask & j] * 19) + stringseed.charCodeAt(j++));\n }\n return tostring(key);\n}\n\n//\n// autoseed()\n// Returns an object for autoseeding, using window.crypto and Node crypto\n// module if available.\n//\nfunction autoseed() {\n try {\n var out;\n if (nodecrypto && (out = nodecrypto.randomBytes)) {\n // The use of 'out' to remember randomBytes makes tight minified code.\n out = out(width);\n } else {\n out = new Uint8Array(width);\n (global.crypto || global.msCrypto).getRandomValues(out);\n }\n return tostring(out);\n } catch (e) {\n var browser = global.navigator,\n plugins = browser && browser.plugins;\n return [+new Date, global, plugins, global.screen, tostring(pool)];\n }\n}\n\n//\n// tostring()\n// Converts an array of charcodes to a string\n//\nfunction tostring(a) {\n return String.fromCharCode.apply(0, a);\n}\n\n//\n// When seedrandom.js is loaded, we immediately mix a few bits\n// from the built-in RNG into the entropy pool. Because we do\n// not want to interfere with deterministic PRNG state later,\n// seedrandom will not call math.random on its own again after\n// initialization.\n//\nmixkey(math.random(), pool);\n\n//\n// Nodejs and AMD support: export the implementation as a module using\n// either convention.\n//\nif ((typeof module) == 'object' && module.exports) {\n module.exports = seedrandom;\n // When in node.js, try using crypto package for autoseeding.\n try {\n nodecrypto = require('crypto');\n } catch (ex) {}\n} else if ((typeof define) == 'function' && define.amd) {\n define(function() { return seedrandom; });\n}\n\n// End anonymous scope, and pass initial values.\n})(\n [], // pool: entropy pool starts empty\n Math // math: package containing random, pow, and seedrandom\n);\n", "// A library of seedable RNGs implemented in Javascript.\n//\n// Usage:\n//\n// var seedrandom = require('seedrandom');\n// var random = seedrandom(1); // or any seed.\n// var x = random(); // 0 <= x < 1. Every bit is random.\n// var x = random.quick(); // 0 <= x < 1. 32 bits of randomness.\n\n// alea, a 53-bit multiply-with-carry generator by Johannes Baag\u00F8e.\n// Period: ~2^116\n// Reported to pass all BigCrush tests.\nvar alea = require('./lib/alea');\n\n// xor128, a pure xor-shift generator by George Marsaglia.\n// Period: 2^128-1.\n// Reported to fail: MatrixRank and LinearComp.\nvar xor128 = require('./lib/xor128');\n\n// xorwow, George Marsaglia's 160-bit xor-shift combined plus weyl.\n// Period: 2^192-2^32\n// Reported to fail: CollisionOver, SimpPoker, and LinearComp.\nvar xorwow = require('./lib/xorwow');\n\n// xorshift7, by Fran\u00E7ois Panneton and Pierre L'ecuyer, takes\n// a different approach: it adds robustness by allowing more shifts\n// than Marsaglia's original three. It is a 7-shift generator\n// with 256 bits, that passes BigCrush with no systmatic failures.\n// Period 2^256-1.\n// No systematic BigCrush failures reported.\nvar xorshift7 = require('./lib/xorshift7');\n\n// xor4096, by Richard Brent, is a 4096-bit xor-shift with a\n// very long period that also adds a Weyl generator. It also passes\n// BigCrush with no systematic failures. Its long period may\n// be useful if you have many generators and need to avoid\n// collisions.\n// Period: 2^4128-2^32.\n// No systematic BigCrush failures reported.\nvar xor4096 = require('./lib/xor4096');\n\n// Tyche-i, by Samuel Neves and Filipe Araujo, is a bit-shifting random\n// number generator derived from ChaCha, a modern stream cipher.\n// https://eden.dei.uc.pt/~sneves/pubs/2011-snfa2.pdf\n// Period: ~2^127\n// No systematic BigCrush failures reported.\nvar tychei = require('./lib/tychei');\n\n// The original ARC4-based prng included in this library.\n// Period: ~2^1600\nvar sr = require('./seedrandom');\n\nsr.alea = alea;\nsr.xor128 = xor128;\nsr.xorwow = xorwow;\nsr.xorshift7 = xorshift7;\nsr.xor4096 = xor4096;\nsr.tychei = tychei;\n\nmodule.exports = sr;\n", "", "", "", "\nvar WasmBackendModuleThreadedSimd = (function() {\n var _scriptDir = typeof document !== 'undefined' && document.currentScript ? document.currentScript.src : undefined;\n if (typeof __filename !== 'undefined') _scriptDir = _scriptDir || __filename;\n return (\nfunction(WasmBackendModuleThreadedSimd) {\n WasmBackendModuleThreadedSimd = WasmBackendModuleThreadedSimd || {};\n\nfunction GROWABLE_HEAP_I8(){if(wasmMemory.buffer!=buffer){updateGlobalBufferAndViews(wasmMemory.buffer)}return HEAP8}function GROWABLE_HEAP_U8(){if(wasmMemory.buffer!=buffer){updateGlobalBufferAndViews(wasmMemory.buffer)}return HEAPU8}function GROWABLE_HEAP_I32(){if(wasmMemory.buffer!=buffer){updateGlobalBufferAndViews(wasmMemory.buffer)}return HEAP32}function GROWABLE_HEAP_U32(){if(wasmMemory.buffer!=buffer){updateGlobalBufferAndViews(wasmMemory.buffer)}return HEAPU32}function GROWABLE_HEAP_F64(){if(wasmMemory.buffer!=buffer){updateGlobalBufferAndViews(wasmMemory.buffer)}return HEAPF64}var Module=typeof WasmBackendModuleThreadedSimd!==\"undefined\"?WasmBackendModuleThreadedSimd:{};var moduleOverrides={};var key;for(key in Module){if(Module.hasOwnProperty(key)){moduleOverrides[key]=Module[key]}}var arguments_=[];var thisProgram=\"./this.program\";var quit_=function(status,toThrow){throw toThrow};var ENVIRONMENT_IS_WEB=false;var ENVIRONMENT_IS_WORKER=false;var ENVIRONMENT_IS_NODE=false;var ENVIRONMENT_IS_SHELL=false;ENVIRONMENT_IS_WEB=typeof window===\"object\";ENVIRONMENT_IS_WORKER=typeof importScripts===\"function\";ENVIRONMENT_IS_NODE=typeof process===\"object\"&&typeof process.versions===\"object\"&&typeof process.versions.node===\"string\";ENVIRONMENT_IS_SHELL=!ENVIRONMENT_IS_WEB&&!ENVIRONMENT_IS_NODE&&!ENVIRONMENT_IS_WORKER;var ENVIRONMENT_IS_PTHREAD=Module[\"ENVIRONMENT_IS_PTHREAD\"]||false;if(ENVIRONMENT_IS_PTHREAD){buffer=Module[\"buffer\"];DYNAMIC_BASE=Module[\"DYNAMIC_BASE\"];DYNAMICTOP_PTR=Module[\"DYNAMICTOP_PTR\"]}var scriptDirectory=\"\";function locateFile(path){if(Module[\"locateFile\"]){return Module[\"locateFile\"](path,scriptDirectory)}return scriptDirectory+path}var read_,readAsync,readBinary,setWindowTitle;var nodeFS;var nodePath;if(ENVIRONMENT_IS_NODE){if(ENVIRONMENT_IS_WORKER){scriptDirectory=require(\"path\").dirname(scriptDirectory)+\"/\"}else{scriptDirectory=__dirname+\"/\"}read_=function shell_read(filename,binary){if(!nodeFS)nodeFS=require(\"fs\");if(!nodePath)nodePath=require(\"path\");filename=nodePath[\"normalize\"](filename);return nodeFS[\"readFileSync\"](filename,binary?null:\"utf8\")};readBinary=function readBinary(filename){var ret=read_(filename,true);if(!ret.buffer){ret=new Uint8Array(ret)}assert(ret.buffer);return ret};if(process[\"argv\"].length>1){thisProgram=process[\"argv\"][1].replace(/\\\\/g,\"/\")}arguments_=process[\"argv\"].slice(2);process[\"on\"](\"uncaughtException\",function(ex){if(!(ex instanceof ExitStatus)){throw ex}});process[\"on\"](\"unhandledRejection\",abort);quit_=function(status){process[\"exit\"](status)};Module[\"inspect\"]=function(){return\"[Emscripten Module object]\"};var nodeWorkerThreads;try{nodeWorkerThreads=require(\"worker_threads\")}catch(e){console.error('The \"worker_threads\" module is not supported in this node.js build - perhaps a newer version is needed?');throw e}Worker=nodeWorkerThreads.Worker}else if(ENVIRONMENT_IS_SHELL){if(typeof read!=\"undefined\"){read_=function shell_read(f){return read(f)}}readBinary=function readBinary(f){var data;if(typeof readbuffer===\"function\"){return new Uint8Array(readbuffer(f))}data=read(f,\"binary\");assert(typeof data===\"object\");return data};if(typeof scriptArgs!=\"undefined\"){arguments_=scriptArgs}else if(typeof arguments!=\"undefined\"){arguments_=arguments}if(typeof quit===\"function\"){quit_=function(status){quit(status)}}if(typeof print!==\"undefined\"){if(typeof console===\"undefined\")console={};console.log=print;console.warn=console.error=typeof printErr!==\"undefined\"?printErr:print}}else if(ENVIRONMENT_IS_WEB||ENVIRONMENT_IS_WORKER){if(ENVIRONMENT_IS_WORKER){scriptDirectory=self.location.href}else if(document.currentScript){scriptDirectory=document.currentScript.src}if(typeof _scriptDir !== \"undefined\" && _scriptDir){scriptDirectory=_scriptDir}if(scriptDirectory.indexOf(\"blob:\")!==0){scriptDirectory=scriptDirectory.substr(0,scriptDirectory.lastIndexOf(\"/\")+1)}else{scriptDirectory=\"\"}if(ENVIRONMENT_IS_NODE){read_=function shell_read(filename,binary){if(!nodeFS)nodeFS=require(\"fs\");if(!nodePath)nodePath=require(\"path\");filename=nodePath[\"normalize\"](filename);return nodeFS[\"readFileSync\"](filename,binary?null:\"utf8\")};readBinary=function readBinary(filename){var ret=read_(filename,true);if(!ret.buffer){ret=new Uint8Array(ret)}assert(ret.buffer);return ret}}else{read_=function shell_read(url){var xhr=new XMLHttpRequest;xhr.open(\"GET\",url,false);xhr.send(null);return xhr.responseText};if(ENVIRONMENT_IS_WORKER){readBinary=function readBinary(url){var xhr=new XMLHttpRequest;xhr.open(\"GET\",url,false);xhr.responseType=\"arraybuffer\";xhr.send(null);return new Uint8Array(xhr.response)}}readAsync=function readAsync(url,onload,onerror){var xhr=new XMLHttpRequest;xhr.open(\"GET\",url,true);xhr.responseType=\"arraybuffer\";xhr.onload=function xhr_onload(){if(xhr.status==200||xhr.status==0&&xhr.response){onload(xhr.response);return}onerror()};xhr.onerror=onerror;xhr.send(null)}}setWindowTitle=function(title){document.title=title}}else{}if(ENVIRONMENT_IS_NODE){if(typeof performance===\"undefined\"){performance=require(\"perf_hooks\").performance}}var out=Module[\"print\"]||console.log.bind(console);var err=Module[\"printErr\"]||console.warn.bind(console);for(key in moduleOverrides){if(moduleOverrides.hasOwnProperty(key)){Module[key]=moduleOverrides[key]}}moduleOverrides=null;if(Module[\"arguments\"])arguments_=Module[\"arguments\"];if(Module[\"thisProgram\"])thisProgram=Module[\"thisProgram\"];if(Module[\"quit\"])quit_=Module[\"quit\"];var Atomics_load=Atomics.load;var Atomics_store=Atomics.store;var Atomics_compareExchange=Atomics.compareExchange;var wasmBinary;if(Module[\"wasmBinary\"])wasmBinary=Module[\"wasmBinary\"];var noExitRuntime;if(Module[\"noExitRuntime\"])noExitRuntime=Module[\"noExitRuntime\"];if(typeof WebAssembly!==\"object\"){err(\"no native wasm support detected\")}var wasmMemory;var wasmTable=new WebAssembly.Table({\"initial\":171,\"maximum\":171+0,\"element\":\"anyfunc\"});var wasmModule;var threadInfoStruct=0;var selfThreadId=0;var ABORT=false;var EXITSTATUS=0;function assert(condition,text){if(!condition){abort(\"Assertion failed: \"+text)}}function getCFunc(ident){var func=Module[\"_\"+ident];assert(func,\"Cannot call unknown function \"+ident+\", make sure it is exported\");return func}function ccall(ident,returnType,argTypes,args,opts){var toC={\"string\":function(str){var ret=0;if(str!==null&&str!==undefined&&str!==0){var len=(str.length<<2)+1;ret=stackAlloc(len);stringToUTF8(str,ret,len)}return ret},\"array\":function(arr){var ret=stackAlloc(arr.length);writeArrayToMemory(arr,ret);return ret}};function convertReturnValue(ret){if(returnType===\"string\")return UTF8ToString(ret);if(returnType===\"boolean\")return Boolean(ret);return ret}var func=getCFunc(ident);var cArgs=[];var stack=0;if(args){for(var i=0;i=endIdx)){var u0=heap[idx++];if(!u0)return str;if(!(u0&128)){str+=String.fromCharCode(u0);continue}var u1=heap[idx++]&63;if((u0&224)==192){str+=String.fromCharCode((u0&31)<<6|u1);continue}var u2=heap[idx++]&63;if((u0&240)==224){u0=(u0&15)<<12|u1<<6|u2}else{u0=(u0&7)<<18|u1<<12|u2<<6|heap[idx++]&63}if(u0<65536){str+=String.fromCharCode(u0)}else{var ch=u0-65536;str+=String.fromCharCode(55296|ch>>10,56320|ch&1023)}}return str}function UTF8ToString(ptr,maxBytesToRead){return ptr?UTF8ArrayToString(GROWABLE_HEAP_U8(),ptr,maxBytesToRead):\"\"}function stringToUTF8Array(str,heap,outIdx,maxBytesToWrite){if(!(maxBytesToWrite>0))return 0;var startIdx=outIdx;var endIdx=outIdx+maxBytesToWrite-1;for(var i=0;i=55296&&u<=57343){var u1=str.charCodeAt(++i);u=65536+((u&1023)<<10)|u1&1023}if(u<=127){if(outIdx>=endIdx)break;heap[outIdx++]=u}else if(u<=2047){if(outIdx+1>=endIdx)break;heap[outIdx++]=192|u>>6;heap[outIdx++]=128|u&63}else if(u<=65535){if(outIdx+2>=endIdx)break;heap[outIdx++]=224|u>>12;heap[outIdx++]=128|u>>6&63;heap[outIdx++]=128|u&63}else{if(outIdx+3>=endIdx)break;heap[outIdx++]=240|u>>18;heap[outIdx++]=128|u>>12&63;heap[outIdx++]=128|u>>6&63;heap[outIdx++]=128|u&63}}heap[outIdx]=0;return outIdx-startIdx}function stringToUTF8(str,outPtr,maxBytesToWrite){return stringToUTF8Array(str,GROWABLE_HEAP_U8(),outPtr,maxBytesToWrite)}function lengthBytesUTF8(str){var len=0;for(var i=0;i=55296&&u<=57343)u=65536+((u&1023)<<10)|str.charCodeAt(++i)&1023;if(u<=127)++len;else if(u<=2047)len+=2;else if(u<=65535)len+=3;else len+=4}return len}function writeArrayToMemory(array,buffer){GROWABLE_HEAP_I8().set(array,buffer)}var WASM_PAGE_SIZE=65536;function alignUp(x,multiple){if(x%multiple>0){x+=multiple-x%multiple}return x}var buffer,HEAP8,HEAPU8,HEAP16,HEAPU16,HEAP32,HEAPU32,HEAPF32,HEAPF64;function updateGlobalBufferAndViews(buf){buffer=buf;Module[\"HEAP8\"]=HEAP8=new Int8Array(buf);Module[\"HEAP16\"]=HEAP16=new Int16Array(buf);Module[\"HEAP32\"]=HEAP32=new Int32Array(buf);Module[\"HEAPU8\"]=HEAPU8=new Uint8Array(buf);Module[\"HEAPU16\"]=HEAPU16=new Uint16Array(buf);Module[\"HEAPU32\"]=HEAPU32=new Uint32Array(buf);Module[\"HEAPF32\"]=HEAPF32=new Float32Array(buf);Module[\"HEAPF64\"]=HEAPF64=new Float64Array(buf)}var STACK_BASE=5256464,STACKTOP=STACK_BASE,STACK_MAX=13584,DYNAMIC_BASE=5256464,DYNAMICTOP_PTR=12656;if(ENVIRONMENT_IS_PTHREAD){}var INITIAL_INITIAL_MEMORY=Module[\"INITIAL_MEMORY\"]||16777216;if(ENVIRONMENT_IS_PTHREAD){wasmMemory=Module[\"wasmMemory\"];buffer=Module[\"buffer\"]}else{if(Module[\"wasmMemory\"]){wasmMemory=Module[\"wasmMemory\"]}else{wasmMemory=new WebAssembly.Memory({\"initial\":INITIAL_INITIAL_MEMORY/WASM_PAGE_SIZE,\"maximum\":2147483648/WASM_PAGE_SIZE,\"shared\":true});if(!(wasmMemory.buffer instanceof SharedArrayBuffer)){err(\"requested a shared WebAssembly.Memory but the returned buffer is not a SharedArrayBuffer, indicating that while the browser has SharedArrayBuffer it does not have WebAssembly threads support - you may need to set a flag\");if(ENVIRONMENT_IS_NODE){console.log(\"(on node you may need: --experimental-wasm-threads --experimental-wasm-bulk-memory and also use a recent version)\")}throw Error(\"bad memory\")}}}if(wasmMemory){buffer=wasmMemory.buffer}INITIAL_INITIAL_MEMORY=buffer.byteLength;updateGlobalBufferAndViews(buffer);if(!ENVIRONMENT_IS_PTHREAD){GROWABLE_HEAP_I32()[DYNAMICTOP_PTR>>2]=DYNAMIC_BASE}function callRuntimeCallbacks(callbacks){while(callbacks.length>0){var callback=callbacks.shift();if(typeof callback==\"function\"){callback(Module);continue}var func=callback.func;if(typeof func===\"number\"){if(callback.arg===undefined){Module[\"dynCall_v\"](func)}else{Module[\"dynCall_vi\"](func,callback.arg)}}else{func(callback.arg===undefined?null:callback.arg)}}}var __ATPRERUN__=[];var __ATINIT__=[];var __ATMAIN__=[];var __ATEXIT__=[];var __ATPOSTRUN__=[];var runtimeInitialized=false;if(ENVIRONMENT_IS_PTHREAD)runtimeInitialized=true;function preRun(){if(ENVIRONMENT_IS_PTHREAD)return;if(Module[\"preRun\"]){if(typeof Module[\"preRun\"]==\"function\")Module[\"preRun\"]=[Module[\"preRun\"]];while(Module[\"preRun\"].length){addOnPreRun(Module[\"preRun\"].shift())}}callRuntimeCallbacks(__ATPRERUN__)}function initRuntime(){runtimeInitialized=true;callRuntimeCallbacks(__ATINIT__)}function preMain(){if(ENVIRONMENT_IS_PTHREAD)return;callRuntimeCallbacks(__ATMAIN__)}function postRun(){if(ENVIRONMENT_IS_PTHREAD)return;if(Module[\"postRun\"]){if(typeof Module[\"postRun\"]==\"function\")Module[\"postRun\"]=[Module[\"postRun\"]];while(Module[\"postRun\"].length){addOnPostRun(Module[\"postRun\"].shift())}}callRuntimeCallbacks(__ATPOSTRUN__)}function addOnPreRun(cb){__ATPRERUN__.unshift(cb)}function addOnPostRun(cb){__ATPOSTRUN__.unshift(cb)}var Math_ceil=Math.ceil;var Math_floor=Math.floor;var runDependencies=0;var runDependencyWatcher=null;var dependenciesFulfilled=null;function addRunDependency(id){assert(!ENVIRONMENT_IS_PTHREAD,\"addRunDependency cannot be used in a pthread worker\");runDependencies++;if(Module[\"monitorRunDependencies\"]){Module[\"monitorRunDependencies\"](runDependencies)}}function removeRunDependency(id){runDependencies--;if(Module[\"monitorRunDependencies\"]){Module[\"monitorRunDependencies\"](runDependencies)}if(runDependencies==0){if(runDependencyWatcher!==null){clearInterval(runDependencyWatcher);runDependencyWatcher=null}if(dependenciesFulfilled){var callback=dependenciesFulfilled;dependenciesFulfilled=null;callback()}}}Module[\"preloadedImages\"]={};Module[\"preloadedAudios\"]={};function abort(what){if(Module[\"onAbort\"]){Module[\"onAbort\"](what)}if(ENVIRONMENT_IS_PTHREAD)console.error(\"Pthread aborting at \"+(new Error).stack);what+=\"\";out(what);err(what);ABORT=true;EXITSTATUS=1;what=\"abort(\"+what+\"). Build with -s ASSERTIONS=1 for more info.\";throw new WebAssembly.RuntimeError(what)}function hasPrefix(str,prefix){return String.prototype.startsWith?str.startsWith(prefix):str.indexOf(prefix)===0}var dataURIPrefix=\"data:application/octet-stream;base64,\";function isDataURI(filename){return hasPrefix(filename,dataURIPrefix)}var fileURIPrefix=\"file://\";function isFileURI(filename){return hasPrefix(filename,fileURIPrefix)}var wasmBinaryFile=\"tfjs-backend-wasm-threaded-simd.wasm\";if(!isDataURI(wasmBinaryFile)){wasmBinaryFile=locateFile(wasmBinaryFile)}function getBinary(){try{if(wasmBinary){return new Uint8Array(wasmBinary)}if(readBinary){return readBinary(wasmBinaryFile)}else{throw\"both async and sync fetching of the wasm failed\"}}catch(err){abort(err)}}function getBinaryPromise(){if(!wasmBinary&&(ENVIRONMENT_IS_WEB||ENVIRONMENT_IS_WORKER)&&typeof fetch===\"function\"&&!isFileURI(wasmBinaryFile)){return fetch(wasmBinaryFile,{credentials:\"same-origin\"}).then(function(response){if(!response[\"ok\"]){throw\"failed to load wasm binary file at '\"+wasmBinaryFile+\"'\"}return response[\"arrayBuffer\"]()}).catch(function(){return getBinary()})}return new Promise(function(resolve,reject){resolve(getBinary())})}function createWasm(){var info={\"a\":asmLibraryArg};function receiveInstance(instance,module){var exports=instance.exports;Module[\"asm\"]=exports;wasmModule=module;if(!ENVIRONMENT_IS_PTHREAD){var numWorkersToLoad=PThread.unusedWorkers.length;PThread.unusedWorkers.forEach(function(w){PThread.loadWasmModuleToWorker(w,function(){if(!--numWorkersToLoad)removeRunDependency(\"wasm-instantiate\")})})}}if(!ENVIRONMENT_IS_PTHREAD){addRunDependency(\"wasm-instantiate\")}function receiveInstantiatedSource(output){receiveInstance(output[\"instance\"],output[\"module\"])}function instantiateArrayBuffer(receiver){return getBinaryPromise().then(function(binary){return WebAssembly.instantiate(binary,info)}).then(receiver,function(reason){err(\"failed to asynchronously prepare wasm: \"+reason);abort(reason)})}function instantiateAsync(){if(!wasmBinary&&typeof WebAssembly.instantiateStreaming===\"function\"&&!isDataURI(wasmBinaryFile)&&!isFileURI(wasmBinaryFile)&&typeof fetch===\"function\"){fetch(wasmBinaryFile,{credentials:\"same-origin\"}).then(function(response){var result=WebAssembly.instantiateStreaming(response,info);return result.then(receiveInstantiatedSource,function(reason){err(\"wasm streaming compile failed: \"+reason);err(\"falling back to ArrayBuffer instantiation\");instantiateArrayBuffer(receiveInstantiatedSource)})})}else{return instantiateArrayBuffer(receiveInstantiatedSource)}}if(Module[\"instantiateWasm\"]){try{var exports=Module[\"instantiateWasm\"](info,receiveInstance);return exports}catch(e){err(\"Module.instantiateWasm callback failed with error: \"+e);return false}}instantiateAsync();return{}}var ASM_CONSTS={};function initPthreadsJS(){PThread.initRuntime()}if(!ENVIRONMENT_IS_PTHREAD)__ATINIT__.push({func:function(){___wasm_call_ctors()}});var __pthread_ptr=0;var __pthread_is_main_runtime_thread=0;var __pthread_is_main_browser_thread=0;function __register_pthread_ptr(pthreadPtr,isMainBrowserThread,isMainRuntimeThread){pthreadPtr=pthreadPtr|0;isMainBrowserThread=isMainBrowserThread|0;isMainRuntimeThread=isMainRuntimeThread|0;__pthread_ptr=pthreadPtr;__pthread_is_main_browser_thread=isMainBrowserThread;__pthread_is_main_runtime_thread=isMainRuntimeThread}Module[\"__register_pthread_ptr\"]=__register_pthread_ptr;var ERRNO_CODES={EPERM:63,ENOENT:44,ESRCH:71,EINTR:27,EIO:29,ENXIO:60,E2BIG:1,ENOEXEC:45,EBADF:8,ECHILD:12,EAGAIN:6,EWOULDBLOCK:6,ENOMEM:48,EACCES:2,EFAULT:21,ENOTBLK:105,EBUSY:10,EEXIST:20,EXDEV:75,ENODEV:43,ENOTDIR:54,EISDIR:31,EINVAL:28,ENFILE:41,EMFILE:33,ENOTTY:59,ETXTBSY:74,EFBIG:22,ENOSPC:51,ESPIPE:70,EROFS:69,EMLINK:34,EPIPE:64,EDOM:18,ERANGE:68,ENOMSG:49,EIDRM:24,ECHRNG:106,EL2NSYNC:156,EL3HLT:107,EL3RST:108,ELNRNG:109,EUNATCH:110,ENOCSI:111,EL2HLT:112,EDEADLK:16,ENOLCK:46,EBADE:113,EBADR:114,EXFULL:115,ENOANO:104,EBADRQC:103,EBADSLT:102,EDEADLOCK:16,EBFONT:101,ENOSTR:100,ENODATA:116,ETIME:117,ENOSR:118,ENONET:119,ENOPKG:120,EREMOTE:121,ENOLINK:47,EADV:122,ESRMNT:123,ECOMM:124,EPROTO:65,EMULTIHOP:36,EDOTDOT:125,EBADMSG:9,ENOTUNIQ:126,EBADFD:127,EREMCHG:128,ELIBACC:129,ELIBBAD:130,ELIBSCN:131,ELIBMAX:132,ELIBEXEC:133,ENOSYS:52,ENOTEMPTY:55,ENAMETOOLONG:37,ELOOP:32,EOPNOTSUPP:138,EPFNOSUPPORT:139,ECONNRESET:15,ENOBUFS:42,EAFNOSUPPORT:5,EPROTOTYPE:67,ENOTSOCK:57,ENOPROTOOPT:50,ESHUTDOWN:140,ECONNREFUSED:14,EADDRINUSE:3,ECONNABORTED:13,ENETUNREACH:40,ENETDOWN:38,ETIMEDOUT:73,EHOSTDOWN:142,EHOSTUNREACH:23,EINPROGRESS:26,EALREADY:7,EDESTADDRREQ:17,EMSGSIZE:35,EPROTONOSUPPORT:66,ESOCKTNOSUPPORT:137,EADDRNOTAVAIL:4,ENETRESET:39,EISCONN:30,ENOTCONN:53,ETOOMANYREFS:141,EUSERS:136,EDQUOT:19,ESTALE:72,ENOTSUP:138,ENOMEDIUM:148,EILSEQ:25,EOVERFLOW:61,ECANCELED:11,ENOTRECOVERABLE:56,EOWNERDEAD:62,ESTRPIPE:135};var __main_thread_futex_wait_address=13568;function _emscripten_futex_wake(addr,count){if(addr<=0||addr>GROWABLE_HEAP_I8().length||addr&3!=0||count<0)return-28;if(count==0)return 0;if(count>=2147483647)count=Infinity;var mainThreadWaitAddress=Atomics.load(GROWABLE_HEAP_I32(),__main_thread_futex_wait_address>>2);var mainThreadWoken=0;if(mainThreadWaitAddress==addr){var loadedAddr=Atomics.compareExchange(GROWABLE_HEAP_I32(),__main_thread_futex_wait_address>>2,mainThreadWaitAddress,0);if(loadedAddr==mainThreadWaitAddress){--count;mainThreadWoken=1;if(count<=0)return 1}}var ret=Atomics.notify(GROWABLE_HEAP_I32(),addr>>2,count);if(ret>=0)return ret+mainThreadWoken;throw\"Atomics.notify returned an unexpected value \"+ret}Module[\"_emscripten_futex_wake\"]=_emscripten_futex_wake;function __kill_thread(pthread_ptr){if(ENVIRONMENT_IS_PTHREAD)throw\"Internal Error! _kill_thread() can only ever be called from main application thread!\";if(!pthread_ptr)throw\"Internal Error! Null pthread_ptr in _kill_thread!\";GROWABLE_HEAP_I32()[pthread_ptr+12>>2]=0;var pthread=PThread.pthreads[pthread_ptr];pthread.worker.terminate();PThread.freeThreadData(pthread);PThread.runningWorkers.splice(PThread.runningWorkers.indexOf(pthread.worker),1);pthread.worker.pthread=undefined}function __cancel_thread(pthread_ptr){if(ENVIRONMENT_IS_PTHREAD)throw\"Internal Error! _cancel_thread() can only ever be called from main application thread!\";if(!pthread_ptr)throw\"Internal Error! Null pthread_ptr in _cancel_thread!\";var pthread=PThread.pthreads[pthread_ptr];pthread.worker.postMessage({\"cmd\":\"cancel\"})}function __cleanup_thread(pthread_ptr){if(ENVIRONMENT_IS_PTHREAD)throw\"Internal Error! _cleanup_thread() can only ever be called from main application thread!\";if(!pthread_ptr)throw\"Internal Error! Null pthread_ptr in _cleanup_thread!\";GROWABLE_HEAP_I32()[pthread_ptr+12>>2]=0;var pthread=PThread.pthreads[pthread_ptr];if(pthread){var worker=pthread.worker;PThread.returnWorkerToPool(worker)}}var PThread={MAIN_THREAD_ID:1,mainThreadInfo:{schedPolicy:0,schedPrio:0},unusedWorkers:[],runningWorkers:[],initRuntime:function(){__register_pthread_ptr(PThread.mainThreadBlock,!ENVIRONMENT_IS_WORKER,1);_emscripten_register_main_browser_thread_id(PThread.mainThreadBlock)},initMainThreadBlock:function(){var pthreadPoolSize=8;for(var i=0;i>2]=PThread.mainThreadBlock;var headPtr=PThread.mainThreadBlock+156;GROWABLE_HEAP_I32()[headPtr>>2]=headPtr;var tlsMemory=13056;for(var i=0;i<128;++i)GROWABLE_HEAP_U32()[tlsMemory/4+i]=0;Atomics.store(GROWABLE_HEAP_U32(),PThread.mainThreadBlock+104>>2,tlsMemory);Atomics.store(GROWABLE_HEAP_U32(),PThread.mainThreadBlock+40>>2,PThread.mainThreadBlock);Atomics.store(GROWABLE_HEAP_U32(),PThread.mainThreadBlock+44>>2,42)},initWorker:function(){},pthreads:{},exitHandlers:null,setThreadStatus:function(){},runExitHandlers:function(){if(PThread.exitHandlers!==null){while(PThread.exitHandlers.length>0){PThread.exitHandlers.pop()()}PThread.exitHandlers=null}if(ENVIRONMENT_IS_PTHREAD&&threadInfoStruct)___pthread_tsd_run_dtors()},threadExit:function(exitCode){var tb=_pthread_self();if(tb){Atomics.store(GROWABLE_HEAP_U32(),tb+4>>2,exitCode);Atomics.store(GROWABLE_HEAP_U32(),tb+0>>2,1);Atomics.store(GROWABLE_HEAP_U32(),tb+60>>2,1);Atomics.store(GROWABLE_HEAP_U32(),tb+64>>2,0);PThread.runExitHandlers();_emscripten_futex_wake(tb+0,2147483647);__register_pthread_ptr(0,0,0);threadInfoStruct=0;if(ENVIRONMENT_IS_PTHREAD){postMessage({\"cmd\":\"exit\"})}}},threadCancel:function(){PThread.runExitHandlers();Atomics.store(GROWABLE_HEAP_U32(),threadInfoStruct+4>>2,-1);Atomics.store(GROWABLE_HEAP_U32(),threadInfoStruct+0>>2,1);_emscripten_futex_wake(threadInfoStruct+0,2147483647);threadInfoStruct=selfThreadId=0;__register_pthread_ptr(0,0,0);postMessage({\"cmd\":\"cancelDone\"})},terminateAllThreads:function(){for(var t in PThread.pthreads){var pthread=PThread.pthreads[t];if(pthread&&pthread.worker){PThread.returnWorkerToPool(pthread.worker)}}PThread.pthreads={};for(var i=0;i>2];GROWABLE_HEAP_I32()[pthread.threadInfoStruct+104>>2]=0;_free(tlsMemory);_free(pthread.threadInfoStruct)}pthread.threadInfoStruct=0;if(pthread.allocatedOwnStack&&pthread.stackBase)_free(pthread.stackBase);pthread.stackBase=0;if(pthread.worker)pthread.worker.pthread=null},returnWorkerToPool:function(worker){delete PThread.pthreads[worker.pthread.thread];PThread.unusedWorkers.push(worker);PThread.runningWorkers.splice(PThread.runningWorkers.indexOf(worker),1);PThread.freeThreadData(worker.pthread);worker.pthread=undefined},receiveObjectTransfer:function(data){},loadWasmModuleToWorker:function(worker,onFinishedLoading){worker.onmessage=function(e){var d=e[\"data\"];var cmd=d[\"cmd\"];if(worker.pthread)PThread.currentProxiedOperationCallerThread=worker.pthread.threadInfoStruct;if(d[\"targetThread\"]&&d[\"targetThread\"]!=_pthread_self()){var thread=PThread.pthreads[d.targetThread];if(thread){thread.worker.postMessage(e.data,d[\"transferList\"])}else{console.error('Internal error! Worker sent a message \"'+cmd+'\" to target pthread '+d[\"targetThread\"]+\", but that thread no longer exists!\")}PThread.currentProxiedOperationCallerThread=undefined;return}if(cmd===\"processQueuedMainThreadWork\"){_emscripten_main_thread_process_queued_calls()}else if(cmd===\"spawnThread\"){__spawn_thread(e.data)}else if(cmd===\"cleanupThread\"){__cleanup_thread(d[\"thread\"])}else if(cmd===\"killThread\"){__kill_thread(d[\"thread\"])}else if(cmd===\"cancelThread\"){__cancel_thread(d[\"thread\"])}else if(cmd===\"loaded\"){worker.loaded=true;if(onFinishedLoading)onFinishedLoading(worker);if(worker.runPthread){worker.runPthread();delete worker.runPthread}}else if(cmd===\"print\"){out(\"Thread \"+d[\"threadId\"]+\": \"+d[\"text\"])}else if(cmd===\"printErr\"){err(\"Thread \"+d[\"threadId\"]+\": \"+d[\"text\"])}else if(cmd===\"alert\"){alert(\"Thread \"+d[\"threadId\"]+\": \"+d[\"text\"])}else if(cmd===\"exit\"){var detached=worker.pthread&&Atomics.load(GROWABLE_HEAP_U32(),worker.pthread.thread+68>>2);if(detached){PThread.returnWorkerToPool(worker)}}else if(cmd===\"cancelDone\"){PThread.returnWorkerToPool(worker)}else if(cmd===\"objectTransfer\"){PThread.receiveObjectTransfer(e.data)}else if(e.data.target===\"setimmediate\"){worker.postMessage(e.data)}else{err(\"worker sent an unknown command \"+cmd)}PThread.currentProxiedOperationCallerThread=undefined};worker.onerror=function(e){err(\"pthread sent an error! \"+e.filename+\":\"+e.lineno+\": \"+e.message)};if(ENVIRONMENT_IS_NODE){worker.on(\"message\",function(data){worker.onmessage({data:data})});worker.on(\"error\",function(data){worker.onerror(data)});worker.on(\"exit\",function(data){console.log(\"worker exited - TODO: update the worker queue?\")})}worker.postMessage({\"cmd\":\"load\",\"urlOrBlob\":Module[\"mainScriptUrlOrBlob\"]||_scriptDir,\"wasmMemory\":wasmMemory,\"wasmModule\":wasmModule,\"DYNAMIC_BASE\":DYNAMIC_BASE,\"DYNAMICTOP_PTR\":DYNAMICTOP_PTR})},allocateUnusedWorker:function(){var pthreadMainJs=locateFile(\"tfjs-backend-wasm-threaded-simd.worker.js\");PThread.unusedWorkers.push(new Worker(pthreadMainJs))},getNewWorker:function(){if(PThread.unusedWorkers.length==0){PThread.allocateUnusedWorker();PThread.loadWasmModuleToWorker(PThread.unusedWorkers[0])}if(PThread.unusedWorkers.length>0)return PThread.unusedWorkers.pop();else return null},busySpinWait:function(msecs){var t=performance.now()+msecs;while(performance.now()>2]=value;return value}function _atexit(func,arg){if(ENVIRONMENT_IS_PTHREAD)return _emscripten_proxy_to_main_thread_js(1,1,func,arg);__ATEXIT__.unshift({func:func,arg:arg})}function __emscripten_notify_thread_queue(targetThreadId,mainThreadId){if(targetThreadId==mainThreadId){postMessage({\"cmd\":\"processQueuedMainThreadWork\"})}else if(ENVIRONMENT_IS_PTHREAD){postMessage({\"targetThread\":targetThreadId,\"cmd\":\"processThreadQueue\"})}else{var pthread=PThread.pthreads[targetThreadId];var worker=pthread&&pthread.worker;if(!worker){return}worker.postMessage({\"cmd\":\"processThreadQueue\"})}return 1}function _abort(){abort()}function _emscripten_conditional_set_current_thread_status(expectedStatus,newStatus){expectedStatus=expectedStatus|0;newStatus=newStatus|0}function _emscripten_futex_wait(addr,val,timeout){if(addr<=0||addr>GROWABLE_HEAP_I8().length||addr&3!=0)return-28;if(ENVIRONMENT_IS_WORKER){var ret=Atomics.wait(GROWABLE_HEAP_I32(),addr>>2,val,timeout);if(ret===\"timed-out\")return-73;if(ret===\"not-equal\")return-6;if(ret===\"ok\")return 0;throw\"Atomics.wait returned an unexpected value \"+ret}else{var loadedVal=Atomics.load(GROWABLE_HEAP_I32(),addr>>2);if(val!=loadedVal)return-6;var tNow=performance.now();var tEnd=tNow+timeout;Atomics.store(GROWABLE_HEAP_I32(),__main_thread_futex_wait_address>>2,addr);var ourWaitAddress=addr;while(addr==ourWaitAddress){tNow=performance.now();if(tNow>tEnd){return-73}_emscripten_main_thread_process_queued_calls();addr=Atomics.load(GROWABLE_HEAP_I32(),__main_thread_futex_wait_address>>2)}return 0}}function _emscripten_is_main_browser_thread(){return __pthread_is_main_browser_thread|0}function _emscripten_is_main_runtime_thread(){return __pthread_is_main_runtime_thread|0}function _emscripten_memcpy_big(dest,src,num){GROWABLE_HEAP_U8().copyWithin(dest,src,src+num)}function _emscripten_num_logical_cores(){return navigator[\"hardwareConcurrency\"]}function _emscripten_proxy_to_main_thread_js(index,sync){var numCallArgs=arguments.length-2;var stack=stackSave();var args=stackAlloc(numCallArgs*8);var b=args>>3;for(var i=0;i>3]);buf+=8}else{buf=buf+3&~3;args.push(GROWABLE_HEAP_I32()[buf>>2]);buf+=4}}return args}function _emscripten_receive_on_main_thread_js(index,numCallArgs,args){_emscripten_receive_on_main_thread_js_callArgs.length=numCallArgs;var b=args>>3;for(var i=0;i>>16);updateGlobalBufferAndViews(wasmMemory.buffer);return 1}catch(e){}}function _emscripten_resize_heap(requestedSize){requestedSize=requestedSize>>>0;var oldSize=_emscripten_get_heap_size();if(requestedSize<=oldSize){return false}var PAGE_MULTIPLE=65536;var maxHeapSize=2147483648;if(requestedSize>maxHeapSize){return false}var minHeapSize=16777216;for(var cutDown=1;cutDown<=4;cutDown*=2){var overGrownHeapSize=oldSize*(1+.2/cutDown);overGrownHeapSize=Math.min(overGrownHeapSize,requestedSize+100663296);var newSize=Math.min(maxHeapSize,alignUp(Math.max(minHeapSize,requestedSize,overGrownHeapSize),PAGE_MULTIPLE));var replacement=emscripten_realloc_buffer(newSize);if(replacement){return true}}return false}var JSEvents={keyEvent:0,mouseEvent:0,wheelEvent:0,uiEvent:0,focusEvent:0,deviceOrientationEvent:0,deviceMotionEvent:0,fullscreenChangeEvent:0,pointerlockChangeEvent:0,visibilityChangeEvent:0,touchEvent:0,previousFullscreenElement:null,previousScreenX:null,previousScreenY:null,removeEventListenersRegistered:false,removeAllEventListeners:function(){for(var i=JSEvents.eventHandlers.length-1;i>=0;--i){JSEvents._removeHandler(i)}JSEvents.eventHandlers=[];JSEvents.deferredCalls=[]},registerRemoveEventListeners:function(){if(!JSEvents.removeEventListenersRegistered){__ATEXIT__.push(JSEvents.removeAllEventListeners);JSEvents.removeEventListenersRegistered=true}},deferredCalls:[],deferCall:function(targetFunction,precedence,argsList){function arraysHaveEqualContent(arrA,arrB){if(arrA.length!=arrB.length)return false;for(var i in arrA){if(arrA[i]!=arrB[i])return false}return true}for(var i in JSEvents.deferredCalls){var call=JSEvents.deferredCalls[i];if(call.targetFunction==targetFunction&&arraysHaveEqualContent(call.argsList,argsList)){return}}JSEvents.deferredCalls.push({targetFunction:targetFunction,precedence:precedence,argsList:argsList});JSEvents.deferredCalls.sort(function(x,y){return x.precedence>2]=eventTypeId;GROWABLE_HEAP_I32()[varargs+4>>2]=eventData;GROWABLE_HEAP_I32()[varargs+8>>2]=userData;_emscripten_async_queue_on_thread_(targetThread,637534208,eventHandlerFunc,eventData,varargs);stackRestore(stackTop)},getTargetThreadForEventCallback:function(targetThread){switch(targetThread){case 1:return 0;case 2:return PThread.currentProxiedOperationCallerThread;default:return targetThread}},getNodeNameForTarget:function(target){if(!target)return\"\";if(target==window)return\"#window\";if(target==screen)return\"#screen\";return target&&target.nodeName?target.nodeName:\"\"},fullscreenEnabled:function(){return document.fullscreenEnabled||document.webkitFullscreenEnabled}};function stringToNewUTF8(jsString){var length=lengthBytesUTF8(jsString)+1;var cString=_malloc(length);stringToUTF8(jsString,cString,length);return cString}function _emscripten_set_offscreencanvas_size_on_target_thread_js(targetThread,targetCanvas,width,height){var stackTop=stackSave();var varargs=stackAlloc(12);var targetCanvasPtr=0;if(targetCanvas){targetCanvasPtr=stringToNewUTF8(targetCanvas)}GROWABLE_HEAP_I32()[varargs>>2]=targetCanvasPtr;GROWABLE_HEAP_I32()[varargs+4>>2]=width;GROWABLE_HEAP_I32()[varargs+8>>2]=height;_emscripten_async_queue_on_thread_(targetThread,657457152,0,targetCanvasPtr,varargs);stackRestore(stackTop)}function _emscripten_set_offscreencanvas_size_on_target_thread(targetThread,targetCanvas,width,height){targetCanvas=targetCanvas?UTF8ToString(targetCanvas):\"\";_emscripten_set_offscreencanvas_size_on_target_thread_js(targetThread,targetCanvas,width,height)}function __maybeCStringToJsString(cString){return cString>2?UTF8ToString(cString):cString}var specialHTMLTargets=[0,typeof document!==\"undefined\"?document:0,typeof window!==\"undefined\"?window:0];function __findEventTarget(target){target=__maybeCStringToJsString(target);var domElement=specialHTMLTargets[target]||(typeof document!==\"undefined\"?document.querySelector(target):undefined);return domElement}function __findCanvasEventTarget(target){return __findEventTarget(target)}function _emscripten_set_canvas_element_size_calling_thread(target,width,height){var canvas=__findCanvasEventTarget(target);if(!canvas)return-4;if(canvas.canvasSharedPtr){GROWABLE_HEAP_I32()[canvas.canvasSharedPtr>>2]=width;GROWABLE_HEAP_I32()[canvas.canvasSharedPtr+4>>2]=height}if(canvas.offscreenCanvas||!canvas.controlTransferredOffscreen){if(canvas.offscreenCanvas)canvas=canvas.offscreenCanvas;var autoResizeViewport=false;if(canvas.GLctxObject&&canvas.GLctxObject.GLctx){var prevViewport=canvas.GLctxObject.GLctx.getParameter(2978);autoResizeViewport=prevViewport[0]===0&&prevViewport[1]===0&&prevViewport[2]===canvas.width&&prevViewport[3]===canvas.height}canvas.width=width;canvas.height=height;if(autoResizeViewport){canvas.GLctxObject.GLctx.viewport(0,0,width,height)}}else if(canvas.canvasSharedPtr){var targetThread=GROWABLE_HEAP_I32()[canvas.canvasSharedPtr+8>>2];_emscripten_set_offscreencanvas_size_on_target_thread(targetThread,target,width,height);return 1}else{return-4}return 0}function _emscripten_set_canvas_element_size_main_thread(target,width,height){if(ENVIRONMENT_IS_PTHREAD)return _emscripten_proxy_to_main_thread_js(2,1,target,width,height);return _emscripten_set_canvas_element_size_calling_thread(target,width,height)}function _emscripten_set_canvas_element_size(target,width,height){var canvas=__findCanvasEventTarget(target);if(canvas){return _emscripten_set_canvas_element_size_calling_thread(target,width,height)}else{return _emscripten_set_canvas_element_size_main_thread(target,width,height)}}function _emscripten_set_current_thread_status(newStatus){newStatus=newStatus|0}function _emscripten_set_thread_name(threadId,name){threadId=threadId|0;name=name|0}function __webgl_enable_ANGLE_instanced_arrays(ctx){var ext=ctx.getExtension(\"ANGLE_instanced_arrays\");if(ext){ctx[\"vertexAttribDivisor\"]=function(index,divisor){ext[\"vertexAttribDivisorANGLE\"](index,divisor)};ctx[\"drawArraysInstanced\"]=function(mode,first,count,primcount){ext[\"drawArraysInstancedANGLE\"](mode,first,count,primcount)};ctx[\"drawElementsInstanced\"]=function(mode,count,type,indices,primcount){ext[\"drawElementsInstancedANGLE\"](mode,count,type,indices,primcount)};return 1}}function __webgl_enable_OES_vertex_array_object(ctx){var ext=ctx.getExtension(\"OES_vertex_array_object\");if(ext){ctx[\"createVertexArray\"]=function(){return ext[\"createVertexArrayOES\"]()};ctx[\"deleteVertexArray\"]=function(vao){ext[\"deleteVertexArrayOES\"](vao)};ctx[\"bindVertexArray\"]=function(vao){ext[\"bindVertexArrayOES\"](vao)};ctx[\"isVertexArray\"]=function(vao){return ext[\"isVertexArrayOES\"](vao)};return 1}}function __webgl_enable_WEBGL_draw_buffers(ctx){var ext=ctx.getExtension(\"WEBGL_draw_buffers\");if(ext){ctx[\"drawBuffers\"]=function(n,bufs){ext[\"drawBuffersWEBGL\"](n,bufs)};return 1}}var GL={counter:1,lastError:0,buffers:[],mappedBuffers:{},programs:[],framebuffers:[],renderbuffers:[],textures:[],uniforms:[],shaders:[],vaos:[],contexts:{},currentContext:null,offscreenCanvases:{},timerQueriesEXT:[],programInfos:{},stringCache:{},unpackAlignment:4,init:function(){var miniTempFloatBuffer=new Float32Array(GL.MINI_TEMP_BUFFER_SIZE);for(var i=0;i>2]:-1;source+=UTF8ToString(GROWABLE_HEAP_I32()[string+i*4>>2],len<0?undefined:len)}return source},createContext:function(canvas,webGLContextAttributes){var ctx=canvas.getContext(\"webgl\",webGLContextAttributes);if(!ctx)return 0;var handle=GL.registerContext(ctx,webGLContextAttributes);return handle},registerContext:function(ctx,webGLContextAttributes){var handle=_malloc(8);GROWABLE_HEAP_I32()[handle+4>>2]=_pthread_self();var context={handle:handle,attributes:webGLContextAttributes,version:webGLContextAttributes.majorVersion,GLctx:ctx};if(ctx.canvas)ctx.canvas.GLctxObject=context;GL.contexts[handle]=context;if(typeof webGLContextAttributes.enableExtensionsByDefault===\"undefined\"||webGLContextAttributes.enableExtensionsByDefault){GL.initExtensions(context)}return handle},makeContextCurrent:function(contextHandle){GL.currentContext=GL.contexts[contextHandle];Module.ctx=GLctx=GL.currentContext&&GL.currentContext.GLctx;return!(contextHandle&&!GLctx)},getContext:function(contextHandle){return GL.contexts[contextHandle]},deleteContext:function(contextHandle){if(GL.currentContext===GL.contexts[contextHandle])GL.currentContext=null;if(typeof JSEvents===\"object\")JSEvents.removeAllHandlersOnTarget(GL.contexts[contextHandle].GLctx.canvas);if(GL.contexts[contextHandle]&&GL.contexts[contextHandle].GLctx.canvas)GL.contexts[contextHandle].GLctx.canvas.GLctxObject=undefined;_free(GL.contexts[contextHandle].handle);GL.contexts[contextHandle]=null},initExtensions:function(context){if(!context)context=GL.currentContext;if(context.initExtensionsDone)return;context.initExtensionsDone=true;var GLctx=context.GLctx;__webgl_enable_ANGLE_instanced_arrays(GLctx);__webgl_enable_OES_vertex_array_object(GLctx);__webgl_enable_WEBGL_draw_buffers(GLctx);GLctx.disjointTimerQueryExt=GLctx.getExtension(\"EXT_disjoint_timer_query\");var automaticallyEnabledExtensions=[\"OES_texture_float\",\"OES_texture_half_float\",\"OES_standard_derivatives\",\"OES_vertex_array_object\",\"WEBGL_compressed_texture_s3tc\",\"WEBGL_depth_texture\",\"OES_element_index_uint\",\"EXT_texture_filter_anisotropic\",\"EXT_frag_depth\",\"WEBGL_draw_buffers\",\"ANGLE_instanced_arrays\",\"OES_texture_float_linear\",\"OES_texture_half_float_linear\",\"EXT_blend_minmax\",\"EXT_shader_texture_lod\",\"EXT_texture_norm16\",\"WEBGL_compressed_texture_pvrtc\",\"EXT_color_buffer_half_float\",\"WEBGL_color_buffer_float\",\"EXT_sRGB\",\"WEBGL_compressed_texture_etc1\",\"EXT_disjoint_timer_query\",\"WEBGL_compressed_texture_etc\",\"WEBGL_compressed_texture_astc\",\"EXT_color_buffer_float\",\"WEBGL_compressed_texture_s3tc_srgb\",\"EXT_disjoint_timer_query_webgl2\",\"WEBKIT_WEBGL_compressed_texture_pvrtc\"];var exts=GLctx.getSupportedExtensions()||[];exts.forEach(function(ext){if(automaticallyEnabledExtensions.indexOf(ext)!=-1){GLctx.getExtension(ext)}})},populateUniformTable:function(program){var p=GL.programs[program];var ptable=GL.programInfos[program]={uniforms:{},maxUniformLength:0,maxAttributeLength:-1,maxUniformBlockNameLength:-1};var utable=ptable.uniforms;var numUniforms=GLctx.getProgramParameter(p,35718);for(var i=0;i>2;contextAttributes[\"alpha\"]=!!GROWABLE_HEAP_I32()[a+(0>>2)];contextAttributes[\"depth\"]=!!GROWABLE_HEAP_I32()[a+(4>>2)];contextAttributes[\"stencil\"]=!!GROWABLE_HEAP_I32()[a+(8>>2)];contextAttributes[\"antialias\"]=!!GROWABLE_HEAP_I32()[a+(12>>2)];contextAttributes[\"premultipliedAlpha\"]=!!GROWABLE_HEAP_I32()[a+(16>>2)];contextAttributes[\"preserveDrawingBuffer\"]=!!GROWABLE_HEAP_I32()[a+(20>>2)];var powerPreference=GROWABLE_HEAP_I32()[a+(24>>2)];contextAttributes[\"powerPreference\"]=__emscripten_webgl_power_preferences[powerPreference];contextAttributes[\"failIfMajorPerformanceCaveat\"]=!!GROWABLE_HEAP_I32()[a+(28>>2)];contextAttributes.majorVersion=GROWABLE_HEAP_I32()[a+(32>>2)];contextAttributes.minorVersion=GROWABLE_HEAP_I32()[a+(36>>2)];contextAttributes.enableExtensionsByDefault=GROWABLE_HEAP_I32()[a+(40>>2)];contextAttributes.explicitSwapControl=GROWABLE_HEAP_I32()[a+(44>>2)];contextAttributes.proxyContextToMainThread=GROWABLE_HEAP_I32()[a+(48>>2)];contextAttributes.renderViaOffscreenBackBuffer=GROWABLE_HEAP_I32()[a+(52>>2)];var canvas=__findCanvasEventTarget(target);if(!canvas){return-4}if(contextAttributes.explicitSwapControl){return-1}var contextHandle=GL.createContext(canvas,contextAttributes);return contextHandle}function _emscripten_webgl_create_context(a0,a1){return _emscripten_webgl_do_create_context(a0,a1)}var PATH={splitPath:function(filename){var splitPathRe=/^(\\/?|)([\\s\\S]*?)((?:\\.{1,2}|[^\\/]+?|)(\\.[^.\\/]*|))(?:[\\/]*)$/;return splitPathRe.exec(filename).slice(1)},normalizeArray:function(parts,allowAboveRoot){var up=0;for(var i=parts.length-1;i>=0;i--){var last=parts[i];if(last===\".\"){parts.splice(i,1)}else if(last===\"..\"){parts.splice(i,1);up++}else if(up){parts.splice(i,1);up--}}if(allowAboveRoot){for(;up;up--){parts.unshift(\"..\")}}return parts},normalize:function(path){var isAbsolute=path.charAt(0)===\"/\",trailingSlash=path.substr(-1)===\"/\";path=PATH.normalizeArray(path.split(\"/\").filter(function(p){return!!p}),!isAbsolute).join(\"/\");if(!path&&!isAbsolute){path=\".\"}if(path&&trailingSlash){path+=\"/\"}return(isAbsolute?\"/\":\"\")+path},dirname:function(path){var result=PATH.splitPath(path),root=result[0],dir=result[1];if(!root&&!dir){return\".\"}if(dir){dir=dir.substr(0,dir.length-1)}return root+dir},basename:function(path){if(path===\"/\")return\"/\";var lastSlash=path.lastIndexOf(\"/\");if(lastSlash===-1)return path;return path.substr(lastSlash+1)},extname:function(path){return PATH.splitPath(path)[3]},join:function(){var paths=Array.prototype.slice.call(arguments,0);return PATH.normalize(paths.join(\"/\"))},join2:function(l,r){return PATH.normalize(l+\"/\"+r)}};var SYSCALLS={mappings:{},buffers:[null,[],[]],printChar:function(stream,curr){var buffer=SYSCALLS.buffers[stream];if(curr===0||curr===10){(stream===1?out:err)(UTF8ArrayToString(buffer,0));buffer.length=0}else{buffer.push(curr)}},varargs:undefined,get:function(){SYSCALLS.varargs+=4;var ret=GROWABLE_HEAP_I32()[SYSCALLS.varargs-4>>2];return ret},getStr:function(ptr){var ret=UTF8ToString(ptr);return ret},get64:function(low,high){return low}};function _fd_close(fd){if(ENVIRONMENT_IS_PTHREAD)return _emscripten_proxy_to_main_thread_js(3,1,fd);return 0}function _fd_seek(fd,offset_low,offset_high,whence,newOffset){if(ENVIRONMENT_IS_PTHREAD)return _emscripten_proxy_to_main_thread_js(4,1,fd,offset_low,offset_high,whence,newOffset)}function _fd_write(fd,iov,iovcnt,pnum){if(ENVIRONMENT_IS_PTHREAD)return _emscripten_proxy_to_main_thread_js(5,1,fd,iov,iovcnt,pnum);var num=0;for(var i=0;i>2];var len=GROWABLE_HEAP_I32()[iov+(i*8+4)>>2];for(var j=0;j>2]=num;return 0}function _pthread_cleanup_pop(execute){var routine=PThread.exitHandlers.pop();if(execute)routine()}function _pthread_cleanup_push(routine,arg){if(PThread.exitHandlers===null){PThread.exitHandlers=[]}PThread.exitHandlers.push(function(){dynCall_vi(routine,arg)})}function __spawn_thread(threadParams){if(ENVIRONMENT_IS_PTHREAD)throw\"Internal Error! _spawn_thread() can only ever be called from main application thread!\";var worker=PThread.getNewWorker();if(worker.pthread!==undefined)throw\"Internal error!\";if(!threadParams.pthread_ptr)throw\"Internal error, no pthread ptr!\";PThread.runningWorkers.push(worker);var tlsMemory=_malloc(128*4);for(var i=0;i<128;++i){GROWABLE_HEAP_I32()[tlsMemory+i*4>>2]=0}var stackHigh=threadParams.stackBase+threadParams.stackSize;var pthread=PThread.pthreads[threadParams.pthread_ptr]={worker:worker,stackBase:threadParams.stackBase,stackSize:threadParams.stackSize,allocatedOwnStack:threadParams.allocatedOwnStack,thread:threadParams.pthread_ptr,threadInfoStruct:threadParams.pthread_ptr};var tis=pthread.threadInfoStruct>>2;Atomics.store(GROWABLE_HEAP_U32(),tis+(0>>2),0);Atomics.store(GROWABLE_HEAP_U32(),tis+(4>>2),0);Atomics.store(GROWABLE_HEAP_U32(),tis+(8>>2),0);Atomics.store(GROWABLE_HEAP_U32(),tis+(68>>2),threadParams.detached);Atomics.store(GROWABLE_HEAP_U32(),tis+(104>>2),tlsMemory);Atomics.store(GROWABLE_HEAP_U32(),tis+(48>>2),0);Atomics.store(GROWABLE_HEAP_U32(),tis+(40>>2),pthread.threadInfoStruct);Atomics.store(GROWABLE_HEAP_U32(),tis+(44>>2),42);Atomics.store(GROWABLE_HEAP_U32(),tis+(108>>2),threadParams.stackSize);Atomics.store(GROWABLE_HEAP_U32(),tis+(84>>2),threadParams.stackSize);Atomics.store(GROWABLE_HEAP_U32(),tis+(80>>2),stackHigh);Atomics.store(GROWABLE_HEAP_U32(),tis+(108+8>>2),stackHigh);Atomics.store(GROWABLE_HEAP_U32(),tis+(108+12>>2),threadParams.detached);Atomics.store(GROWABLE_HEAP_U32(),tis+(108+20>>2),threadParams.schedPolicy);Atomics.store(GROWABLE_HEAP_U32(),tis+(108+24>>2),threadParams.schedPrio);var global_libc=_emscripten_get_global_libc();var global_locale=global_libc+40;Atomics.store(GROWABLE_HEAP_U32(),tis+(176>>2),global_locale);worker.pthread=pthread;var msg={\"cmd\":\"run\",\"start_routine\":threadParams.startRoutine,\"arg\":threadParams.arg,\"threadInfoStruct\":threadParams.pthread_ptr,\"selfThreadId\":threadParams.pthread_ptr,\"parentThreadId\":threadParams.parent_pthread_ptr,\"stackBase\":threadParams.stackBase,\"stackSize\":threadParams.stackSize};worker.runPthread=function(){msg.time=performance.now();worker.postMessage(msg,threadParams.transferList)};if(worker.loaded){worker.runPthread();delete worker.runPthread}}function _pthread_getschedparam(thread,policy,schedparam){if(!policy&&!schedparam)return ERRNO_CODES.EINVAL;if(!thread){err(\"pthread_getschedparam called with a null thread pointer!\");return ERRNO_CODES.ESRCH}var self=GROWABLE_HEAP_I32()[thread+12>>2];if(self!==thread){err(\"pthread_getschedparam attempted on thread \"+thread+\", which does not point to a valid thread, or does not exist anymore!\");return ERRNO_CODES.ESRCH}var schedPolicy=Atomics.load(GROWABLE_HEAP_U32(),thread+108+20>>2);var schedPrio=Atomics.load(GROWABLE_HEAP_U32(),thread+108+24>>2);if(policy)GROWABLE_HEAP_I32()[policy>>2]=schedPolicy;if(schedparam)GROWABLE_HEAP_I32()[schedparam>>2]=schedPrio;return 0}function _pthread_self(){return __pthread_ptr|0}Module[\"_pthread_self\"]=_pthread_self;function _pthread_create(pthread_ptr,attr,start_routine,arg){if(typeof SharedArrayBuffer===\"undefined\"){err(\"Current environment does not support SharedArrayBuffer, pthreads are not available!\");return 6}if(!pthread_ptr){err(\"pthread_create called with a null thread pointer!\");return 28}var transferList=[];var error=0;if(ENVIRONMENT_IS_PTHREAD&&(transferList.length===0||error)){return _emscripten_sync_run_in_main_thread_4(687865856,pthread_ptr,attr,start_routine,arg)}if(error)return error;var stackSize=0;var stackBase=0;var detached=0;var schedPolicy=0;var schedPrio=0;if(attr){stackSize=GROWABLE_HEAP_I32()[attr>>2];stackSize+=81920;stackBase=GROWABLE_HEAP_I32()[attr+8>>2];detached=GROWABLE_HEAP_I32()[attr+12>>2]!==0;var inheritSched=GROWABLE_HEAP_I32()[attr+16>>2]===0;if(inheritSched){var prevSchedPolicy=GROWABLE_HEAP_I32()[attr+20>>2];var prevSchedPrio=GROWABLE_HEAP_I32()[attr+24>>2];var parentThreadPtr=PThread.currentProxiedOperationCallerThread?PThread.currentProxiedOperationCallerThread:_pthread_self();_pthread_getschedparam(parentThreadPtr,attr+20,attr+24);schedPolicy=GROWABLE_HEAP_I32()[attr+20>>2];schedPrio=GROWABLE_HEAP_I32()[attr+24>>2];GROWABLE_HEAP_I32()[attr+20>>2]=prevSchedPolicy;GROWABLE_HEAP_I32()[attr+24>>2]=prevSchedPrio}else{schedPolicy=GROWABLE_HEAP_I32()[attr+20>>2];schedPrio=GROWABLE_HEAP_I32()[attr+24>>2]}}else{stackSize=2097152}var allocatedOwnStack=stackBase==0;if(allocatedOwnStack){stackBase=_memalign(16,stackSize)}else{stackBase-=stackSize;assert(stackBase>0)}var threadInfoStruct=_malloc(232);for(var i=0;i<232>>2;++i)GROWABLE_HEAP_U32()[(threadInfoStruct>>2)+i]=0;GROWABLE_HEAP_I32()[pthread_ptr>>2]=threadInfoStruct;GROWABLE_HEAP_I32()[threadInfoStruct+12>>2]=threadInfoStruct;var headPtr=threadInfoStruct+156;GROWABLE_HEAP_I32()[headPtr>>2]=headPtr;var threadParams={stackBase:stackBase,stackSize:stackSize,allocatedOwnStack:allocatedOwnStack,schedPolicy:schedPolicy,schedPrio:schedPrio,detached:detached,startRoutine:start_routine,pthread_ptr:threadInfoStruct,parent_pthread_ptr:_pthread_self(),arg:arg,transferList:transferList};if(ENVIRONMENT_IS_PTHREAD){threadParams.cmd=\"spawnThread\";postMessage(threadParams,transferList)}else{__spawn_thread(threadParams)}return 0}function _roundf(d){d=+d;return d>=+0?+Math_floor(d+ +.5):+Math_ceil(d-+.5)}function _sysconf(name){if(ENVIRONMENT_IS_PTHREAD)return _emscripten_proxy_to_main_thread_js(6,1,name);switch(name){case 30:return 16384;case 85:var maxHeapSize=2147483648;return maxHeapSize/16384;case 132:case 133:case 12:case 137:case 138:case 15:case 235:case 16:case 17:case 18:case 19:case 20:case 149:case 13:case 10:case 236:case 153:case 9:case 21:case 22:case 159:case 154:case 14:case 77:case 78:case 139:case 80:case 81:case 82:case 68:case 67:case 164:case 11:case 29:case 47:case 48:case 95:case 52:case 51:case 46:case 79:return 200809;case 27:case 246:case 127:case 128:case 23:case 24:case 160:case 161:case 181:case 182:case 242:case 183:case 184:case 243:case 244:case 245:case 165:case 178:case 179:case 49:case 50:case 168:case 169:case 175:case 170:case 171:case 172:case 97:case 76:case 32:case 173:case 35:return-1;case 176:case 177:case 7:case 155:case 8:case 157:case 125:case 126:case 92:case 93:case 129:case 130:case 131:case 94:case 91:return 1;case 74:case 60:case 69:case 70:case 4:return 1024;case 31:case 42:case 72:return 32;case 87:case 26:case 33:return 2147483647;case 34:case 1:return 47839;case 38:case 36:return 99;case 43:case 37:return 2048;case 0:return 2097152;case 3:return 65536;case 28:return 32768;case 44:return 32767;case 75:return 16384;case 39:return 1e3;case 89:return 700;case 71:return 256;case 40:return 255;case 2:return 100;case 180:return 64;case 25:return 20;case 5:return 16;case 6:return 6;case 73:return 4;case 84:{if(typeof navigator===\"object\")return navigator[\"hardwareConcurrency\"]||1;return 1}}setErrNo(28);return-1}if(!ENVIRONMENT_IS_PTHREAD)PThread.initMainThreadBlock();else PThread.initWorker();var GLctx;GL.init();var proxiedFunctionTable=[null,_atexit,_emscripten_set_canvas_element_size_main_thread,_fd_close,_fd_seek,_fd_write,_sysconf];var asmLibraryArg={\"e\":___assert_fail,\"r\":___call_main,\"w\":__emscripten_notify_thread_queue,\"a\":_abort,\"l\":_emscripten_conditional_set_current_thread_status,\"d\":_emscripten_futex_wait,\"c\":_emscripten_futex_wake,\"h\":_emscripten_get_now,\"g\":_emscripten_is_main_browser_thread,\"x\":_emscripten_is_main_runtime_thread,\"q\":_emscripten_memcpy_big,\"B\":_emscripten_num_logical_cores,\"t\":_emscripten_receive_on_main_thread_js,\"A\":_emscripten_resize_heap,\"u\":_emscripten_set_canvas_element_size,\"k\":_emscripten_set_current_thread_status,\"s\":_emscripten_set_thread_name,\"v\":_emscripten_webgl_create_context,\"m\":_fd_close,\"o\":_fd_seek,\"i\":_fd_write,\"p\":initPthreadsJS,\"memory\":wasmMemory||Module[\"wasmMemory\"],\"y\":_pthread_cleanup_pop,\"z\":_pthread_cleanup_push,\"j\":_pthread_create,\"b\":_pthread_self,\"f\":_roundf,\"n\":_sysconf,\"table\":wasmTable};var asm=createWasm();Module[\"asm\"]=asm;var ___wasm_call_ctors=Module[\"___wasm_call_ctors\"]=function(){return(___wasm_call_ctors=Module[\"___wasm_call_ctors\"]=Module[\"asm\"][\"C\"]).apply(null,arguments)};var _init=Module[\"_init\"]=function(){return(_init=Module[\"_init\"]=Module[\"asm\"][\"D\"]).apply(null,arguments)};var _register_tensor=Module[\"_register_tensor\"]=function(){return(_register_tensor=Module[\"_register_tensor\"]=Module[\"asm\"][\"E\"]).apply(null,arguments)};var _dispose_data=Module[\"_dispose_data\"]=function(){return(_dispose_data=Module[\"_dispose_data\"]=Module[\"asm\"][\"F\"]).apply(null,arguments)};var _dispose=Module[\"_dispose\"]=function(){return(_dispose=Module[\"_dispose\"]=Module[\"asm\"][\"G\"]).apply(null,arguments)};var _Abs=Module[\"_Abs\"]=function(){return(_Abs=Module[\"_Abs\"]=Module[\"asm\"][\"H\"]).apply(null,arguments)};var _Add=Module[\"_Add\"]=function(){return(_Add=Module[\"_Add\"]=Module[\"asm\"][\"I\"]).apply(null,arguments)};var _AddN=Module[\"_AddN\"]=function(){return(_AddN=Module[\"_AddN\"]=Module[\"asm\"][\"J\"]).apply(null,arguments)};var _ArgMax=Module[\"_ArgMax\"]=function(){return(_ArgMax=Module[\"_ArgMax\"]=Module[\"asm\"][\"K\"]).apply(null,arguments)};var _AvgPool=Module[\"_AvgPool\"]=function(){return(_AvgPool=Module[\"_AvgPool\"]=Module[\"asm\"][\"L\"]).apply(null,arguments)};var _BatchMatMul=Module[\"_BatchMatMul\"]=function(){return(_BatchMatMul=Module[\"_BatchMatMul\"]=Module[\"asm\"][\"M\"]).apply(null,arguments)};var _Ceil=Module[\"_Ceil\"]=function(){return(_Ceil=Module[\"_Ceil\"]=Module[\"asm\"][\"N\"]).apply(null,arguments)};var _ClipByValue=Module[\"_ClipByValue\"]=function(){return(_ClipByValue=Module[\"_ClipByValue\"]=Module[\"asm\"][\"O\"]).apply(null,arguments)};var _Conv2D=Module[\"_Conv2D\"]=function(){return(_Conv2D=Module[\"_Conv2D\"]=Module[\"asm\"][\"P\"]).apply(null,arguments)};var _Conv2DBackpropInput=Module[\"_Conv2DBackpropInput\"]=function(){return(_Conv2DBackpropInput=Module[\"_Conv2DBackpropInput\"]=Module[\"asm\"][\"Q\"]).apply(null,arguments)};var _Cos=Module[\"_Cos\"]=function(){return(_Cos=Module[\"_Cos\"]=Module[\"asm\"][\"R\"]).apply(null,arguments)};var _CropAndResize=Module[\"_CropAndResize\"]=function(){return(_CropAndResize=Module[\"_CropAndResize\"]=Module[\"asm\"][\"S\"]).apply(null,arguments)};var _Cumsum=Module[\"_Cumsum\"]=function(){return(_Cumsum=Module[\"_Cumsum\"]=Module[\"asm\"][\"T\"]).apply(null,arguments)};var _DepthToSpace=Module[\"_DepthToSpace\"]=function(){return(_DepthToSpace=Module[\"_DepthToSpace\"]=Module[\"asm\"][\"U\"]).apply(null,arguments)};var _DepthwiseConv2dNative=Module[\"_DepthwiseConv2dNative\"]=function(){return(_DepthwiseConv2dNative=Module[\"_DepthwiseConv2dNative\"]=Module[\"asm\"][\"V\"]).apply(null,arguments)};var _Equal=Module[\"_Equal\"]=function(){return(_Equal=Module[\"_Equal\"]=Module[\"asm\"][\"W\"]).apply(null,arguments)};var _Exp=Module[\"_Exp\"]=function(){return(_Exp=Module[\"_Exp\"]=Module[\"asm\"][\"X\"]).apply(null,arguments)};var _FlipLeftRight=Module[\"_FlipLeftRight\"]=function(){return(_FlipLeftRight=Module[\"_FlipLeftRight\"]=Module[\"asm\"][\"Y\"]).apply(null,arguments)};var _Floor=Module[\"_Floor\"]=function(){return(_Floor=Module[\"_Floor\"]=Module[\"asm\"][\"Z\"]).apply(null,arguments)};var _FloorDiv=Module[\"_FloorDiv\"]=function(){return(_FloorDiv=Module[\"_FloorDiv\"]=Module[\"asm\"][\"_\"]).apply(null,arguments)};var _FusedBatchNorm=Module[\"_FusedBatchNorm\"]=function(){return(_FusedBatchNorm=Module[\"_FusedBatchNorm\"]=Module[\"asm\"][\"$\"]).apply(null,arguments)};var _FusedConv2D=Module[\"_FusedConv2D\"]=function(){return(_FusedConv2D=Module[\"_FusedConv2D\"]=Module[\"asm\"][\"aa\"]).apply(null,arguments)};var _FusedDepthwiseConv2D=Module[\"_FusedDepthwiseConv2D\"]=function(){return(_FusedDepthwiseConv2D=Module[\"_FusedDepthwiseConv2D\"]=Module[\"asm\"][\"ba\"]).apply(null,arguments)};var _Gather=Module[\"_Gather\"]=function(){return(_Gather=Module[\"_Gather\"]=Module[\"asm\"][\"ca\"]).apply(null,arguments)};var _GatherNd=Module[\"_GatherNd\"]=function(){return(_GatherNd=Module[\"_GatherNd\"]=Module[\"asm\"][\"da\"]).apply(null,arguments)};var _Greater=Module[\"_Greater\"]=function(){return(_Greater=Module[\"_Greater\"]=Module[\"asm\"][\"ea\"]).apply(null,arguments)};var _GreaterEqual=Module[\"_GreaterEqual\"]=function(){return(_GreaterEqual=Module[\"_GreaterEqual\"]=Module[\"asm\"][\"fa\"]).apply(null,arguments)};var _LeakyRelu=Module[\"_LeakyRelu\"]=function(){return(_LeakyRelu=Module[\"_LeakyRelu\"]=Module[\"asm\"][\"ga\"]).apply(null,arguments)};var _Less=Module[\"_Less\"]=function(){return(_Less=Module[\"_Less\"]=Module[\"asm\"][\"ha\"]).apply(null,arguments)};var _LessEqual=Module[\"_LessEqual\"]=function(){return(_LessEqual=Module[\"_LessEqual\"]=Module[\"asm\"][\"ia\"]).apply(null,arguments)};var _Log=Module[\"_Log\"]=function(){return(_Log=Module[\"_Log\"]=Module[\"asm\"][\"ja\"]).apply(null,arguments)};var _LogicalAnd=Module[\"_LogicalAnd\"]=function(){return(_LogicalAnd=Module[\"_LogicalAnd\"]=Module[\"asm\"][\"ka\"]).apply(null,arguments)};var _Max=Module[\"_Max\"]=function(){return(_Max=Module[\"_Max\"]=Module[\"asm\"][\"la\"]).apply(null,arguments)};var _MaxPool=Module[\"_MaxPool\"]=function(){return(_MaxPool=Module[\"_MaxPool\"]=Module[\"asm\"][\"ma\"]).apply(null,arguments)};var _Maximum=Module[\"_Maximum\"]=function(){return(_Maximum=Module[\"_Maximum\"]=Module[\"asm\"][\"na\"]).apply(null,arguments)};var _Mean=Module[\"_Mean\"]=function(){return(_Mean=Module[\"_Mean\"]=Module[\"asm\"][\"oa\"]).apply(null,arguments)};var _Min=Module[\"_Min\"]=function(){return(_Min=Module[\"_Min\"]=Module[\"asm\"][\"pa\"]).apply(null,arguments)};var 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stackRestore=Module[\"stackRestore\"]=function(){return(stackRestore=Module[\"stackRestore\"]=Module[\"asm\"][\"stackRestore\"]).apply(null,arguments)};Module[\"asm\"]=asm;Module[\"cwrap\"]=cwrap;var calledRun;Module[\"then\"]=function(func){if(calledRun){func(Module)}else{var old=Module[\"onRuntimeInitialized\"];Module[\"onRuntimeInitialized\"]=function(){if(old)old();func(Module)}}return Module};function ExitStatus(status){this.name=\"ExitStatus\";this.message=\"Program terminated with exit(\"+status+\")\";this.status=status}var calledMain=false;dependenciesFulfilled=function runCaller(){if(!calledRun)run();if(!calledRun)dependenciesFulfilled=runCaller};function callMain(args){var entryFunction=Module[\"__start\"];try{entryFunction();var ret=0;exit(ret,true)}catch(e){if(e instanceof ExitStatus){return}else if(e==\"unwind\"){noExitRuntime=true;return}else{var toLog=e;if(e&&typeof e===\"object\"&&e.stack){toLog=[e,e.stack]}err(\"exception thrown: 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shouldRunNow=true;if(Module[\"noInitialRun\"])shouldRunNow=false;noExitRuntime=true;run();\n\n\n return WasmBackendModule\n}\n);\n})();\nif (typeof exports === 'object' && typeof module === 'object')\n module.exports = WasmBackendModule;\n else if (typeof define === 'function' && define['amd'])\n define([], function() { return WasmBackendModule; });\n else if (typeof exports === 'object')\n exports[\"WasmBackendModule\"] = WasmBackendModule;\n ", "// A port of an algorithm by Johannes Baag\u00F8e , 2010\n// http://baagoe.com/en/RandomMusings/javascript/\n// https://github.com/nquinlan/better-random-numbers-for-javascript-mirror\n// Original work is under MIT license -\n\n// Copyright (C) 2010 by Johannes Baag\u00F8e \n//\n// Permission is hereby granted, free of charge, to any person obtaining a copy\n// of this software and associated documentation files (the \"Software\"), to deal\n// in the Software without restriction, including without limitation the rights\n// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell\n// copies of the Software, and to permit persons to whom the Software is\n// furnished to do so, subject to the following conditions:\n//\n// The above copyright notice and this permission notice shall be included in\n// all copies or substantial portions of the Software.\n//\n// THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\n// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\n// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN\n// THE SOFTWARE.\n\n\n\n(function(global, module, define) {\n\nfunction Alea(seed) {\n var me = this, mash = Mash();\n\n me.next = function() {\n var t = 2091639 * me.s0 + me.c * 2.3283064365386963e-10; // 2^-32\n me.s0 = me.s1;\n me.s1 = me.s2;\n return me.s2 = t - (me.c = t | 0);\n };\n\n // Apply the seeding algorithm from Baagoe.\n me.c = 1;\n me.s0 = mash(' ');\n me.s1 = mash(' ');\n me.s2 = mash(' ');\n me.s0 -= mash(seed);\n if (me.s0 < 0) { me.s0 += 1; }\n me.s1 -= mash(seed);\n if (me.s1 < 0) { me.s1 += 1; }\n me.s2 -= mash(seed);\n if (me.s2 < 0) { me.s2 += 1; }\n mash = null;\n}\n\nfunction copy(f, t) {\n t.c = f.c;\n t.s0 = f.s0;\n t.s1 = f.s1;\n t.s2 = f.s2;\n return t;\n}\n\nfunction impl(seed, opts) {\n var xg = new Alea(seed),\n state = opts && opts.state,\n prng = xg.next;\n prng.int32 = function() { return (xg.next() * 0x100000000) | 0; }\n prng.double = function() {\n return prng() + (prng() * 0x200000 | 0) * 1.1102230246251565e-16; // 2^-53\n };\n prng.quick = prng;\n if (state) {\n if (typeof(state) == 'object') copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nfunction Mash() {\n var n = 0xefc8249d;\n\n var mash = function(data) {\n data = String(data);\n for (var i = 0; i < data.length; i++) {\n n += data.charCodeAt(i);\n var h = 0.02519603282416938 * n;\n n = h >>> 0;\n h -= n;\n h *= n;\n n = h >>> 0;\n h -= n;\n n += h * 0x100000000; // 2^32\n }\n return (n >>> 0) * 2.3283064365386963e-10; // 2^-32\n };\n\n return mash;\n}\n\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.alea = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n\n", "// A Javascript implementaion of the \"xor128\" prng algorithm by\n// George Marsaglia. See http://www.jstatsoft.org/v08/i14/paper\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this, strseed = '';\n\n me.x = 0;\n me.y = 0;\n me.z = 0;\n me.w = 0;\n\n // Set up generator function.\n me.next = function() {\n var t = me.x ^ (me.x << 11);\n me.x = me.y;\n me.y = me.z;\n me.z = me.w;\n return me.w ^= (me.w >>> 19) ^ t ^ (t >>> 8);\n };\n\n if (seed === (seed | 0)) {\n // Integer seed.\n me.x = seed;\n } else {\n // String seed.\n strseed += seed;\n }\n\n // Mix in string seed, then discard an initial batch of 64 values.\n for (var k = 0; k < strseed.length + 64; k++) {\n me.x ^= strseed.charCodeAt(k) | 0;\n me.next();\n }\n}\n\nfunction copy(f, t) {\n t.x = f.x;\n t.y = f.y;\n t.z = f.z;\n t.w = f.w;\n return t;\n}\n\nfunction impl(seed, opts) {\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (typeof(state) == 'object') copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.xor128 = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n\n", "// A Javascript implementaion of the \"xorwow\" prng algorithm by\n// George Marsaglia. See http://www.jstatsoft.org/v08/i14/paper\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this, strseed = '';\n\n // Set up generator function.\n me.next = function() {\n var t = (me.x ^ (me.x >>> 2));\n me.x = me.y; me.y = me.z; me.z = me.w; me.w = me.v;\n return (me.d = (me.d + 362437 | 0)) +\n (me.v = (me.v ^ (me.v << 4)) ^ (t ^ (t << 1))) | 0;\n };\n\n me.x = 0;\n me.y = 0;\n me.z = 0;\n me.w = 0;\n me.v = 0;\n\n if (seed === (seed | 0)) {\n // Integer seed.\n me.x = seed;\n } else {\n // String seed.\n strseed += seed;\n }\n\n // Mix in string seed, then discard an initial batch of 64 values.\n for (var k = 0; k < strseed.length + 64; k++) {\n me.x ^= strseed.charCodeAt(k) | 0;\n if (k == strseed.length) {\n me.d = me.x << 10 ^ me.x >>> 4;\n }\n me.next();\n }\n}\n\nfunction copy(f, t) {\n t.x = f.x;\n t.y = f.y;\n t.z = f.z;\n t.w = f.w;\n t.v = f.v;\n t.d = f.d;\n return t;\n}\n\nfunction impl(seed, opts) {\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (typeof(state) == 'object') copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.xorwow = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n\n", "// A Javascript implementaion of the \"xorshift7\" algorithm by\n// Fran\u00E7ois Panneton and Pierre L'ecuyer:\n// \"On the Xorgshift Random Number Generators\"\n// http://saluc.engr.uconn.edu/refs/crypto/rng/panneton05onthexorshift.pdf\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this;\n\n // Set up generator function.\n me.next = function() {\n // Update xor generator.\n var X = me.x, i = me.i, t, v, w;\n t = X[i]; t ^= (t >>> 7); v = t ^ (t << 24);\n t = X[(i + 1) & 7]; v ^= t ^ (t >>> 10);\n t = X[(i + 3) & 7]; v ^= t ^ (t >>> 3);\n t = X[(i + 4) & 7]; v ^= t ^ (t << 7);\n t = X[(i + 7) & 7]; t = t ^ (t << 13); v ^= t ^ (t << 9);\n X[i] = v;\n me.i = (i + 1) & 7;\n return v;\n };\n\n function init(me, seed) {\n var j, w, X = [];\n\n if (seed === (seed | 0)) {\n // Seed state array using a 32-bit integer.\n w = X[0] = seed;\n } else {\n // Seed state using a string.\n seed = '' + seed;\n for (j = 0; j < seed.length; ++j) {\n X[j & 7] = (X[j & 7] << 15) ^\n (seed.charCodeAt(j) + X[(j + 1) & 7] << 13);\n }\n }\n // Enforce an array length of 8, not all zeroes.\n while (X.length < 8) X.push(0);\n for (j = 0; j < 8 && X[j] === 0; ++j);\n if (j == 8) w = X[7] = -1; else w = X[j];\n\n me.x = X;\n me.i = 0;\n\n // Discard an initial 256 values.\n for (j = 256; j > 0; --j) {\n me.next();\n }\n }\n\n init(me, seed);\n}\n\nfunction copy(f, t) {\n t.x = f.x.slice();\n t.i = f.i;\n return t;\n}\n\nfunction impl(seed, opts) {\n if (seed == null) seed = +(new Date);\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (state.x) copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.xorshift7 = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n", "// A Javascript implementaion of Richard Brent's Xorgens xor4096 algorithm.\n//\n// This fast non-cryptographic random number generator is designed for\n// use in Monte-Carlo algorithms. It combines a long-period xorshift\n// generator with a Weyl generator, and it passes all common batteries\n// of stasticial tests for randomness while consuming only a few nanoseconds\n// for each prng generated. For background on the generator, see Brent's\n// paper: \"Some long-period random number generators using shifts and xors.\"\n// http://arxiv.org/pdf/1004.3115v1.pdf\n//\n// Usage:\n//\n// var xor4096 = require('xor4096');\n// random = xor4096(1); // Seed with int32 or string.\n// assert.equal(random(), 0.1520436450538547); // (0, 1) range, 53 bits.\n// assert.equal(random.int32(), 1806534897); // signed int32, 32 bits.\n//\n// For nonzero numeric keys, this impelementation provides a sequence\n// identical to that by Brent's xorgens 3 implementaion in C. This\n// implementation also provides for initalizing the generator with\n// string seeds, or for saving and restoring the state of the generator.\n//\n// On Chrome, this prng benchmarks about 2.1 times slower than\n// Javascript's built-in Math.random().\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this;\n\n // Set up generator function.\n me.next = function() {\n var w = me.w,\n X = me.X, i = me.i, t, v;\n // Update Weyl generator.\n me.w = w = (w + 0x61c88647) | 0;\n // Update xor generator.\n v = X[(i + 34) & 127];\n t = X[i = ((i + 1) & 127)];\n v ^= v << 13;\n t ^= t << 17;\n v ^= v >>> 15;\n t ^= t >>> 12;\n // Update Xor generator array state.\n v = X[i] = v ^ t;\n me.i = i;\n // Result is the combination.\n return (v + (w ^ (w >>> 16))) | 0;\n };\n\n function init(me, seed) {\n var t, v, i, j, w, X = [], limit = 128;\n if (seed === (seed | 0)) {\n // Numeric seeds initialize v, which is used to generates X.\n v = seed;\n seed = null;\n } else {\n // String seeds are mixed into v and X one character at a time.\n seed = seed + '\\0';\n v = 0;\n limit = Math.max(limit, seed.length);\n }\n // Initialize circular array and weyl value.\n for (i = 0, j = -32; j < limit; ++j) {\n // Put the unicode characters into the array, and shuffle them.\n if (seed) v ^= seed.charCodeAt((j + 32) % seed.length);\n // After 32 shuffles, take v as the starting w value.\n if (j === 0) w = v;\n v ^= v << 10;\n v ^= v >>> 15;\n v ^= v << 4;\n v ^= v >>> 13;\n if (j >= 0) {\n w = (w + 0x61c88647) | 0; // Weyl.\n t = (X[j & 127] ^= (v + w)); // Combine xor and weyl to init array.\n i = (0 == t) ? i + 1 : 0; // Count zeroes.\n }\n }\n // We have detected all zeroes; make the key nonzero.\n if (i >= 128) {\n X[(seed && seed.length || 0) & 127] = -1;\n }\n // Run the generator 512 times to further mix the state before using it.\n // Factoring this as a function slows the main generator, so it is just\n // unrolled here. The weyl generator is not advanced while warming up.\n i = 127;\n for (j = 4 * 128; j > 0; --j) {\n v = X[(i + 34) & 127];\n t = X[i = ((i + 1) & 127)];\n v ^= v << 13;\n t ^= t << 17;\n v ^= v >>> 15;\n t ^= t >>> 12;\n X[i] = v ^ t;\n }\n // Storing state as object members is faster than using closure variables.\n me.w = w;\n me.X = X;\n me.i = i;\n }\n\n init(me, seed);\n}\n\nfunction copy(f, t) {\n t.i = f.i;\n t.w = f.w;\n t.X = f.X.slice();\n return t;\n};\n\nfunction impl(seed, opts) {\n if (seed == null) seed = +(new Date);\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (state.X) copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.xor4096 = impl;\n}\n\n})(\n this, // window object or global\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n", "// A Javascript implementaion of the \"Tyche-i\" prng algorithm by\n// Samuel Neves and Filipe Araujo.\n// See https://eden.dei.uc.pt/~sneves/pubs/2011-snfa2.pdf\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n var me = this, strseed = '';\n\n // Set up generator function.\n me.next = function() {\n var b = me.b, c = me.c, d = me.d, a = me.a;\n b = (b << 25) ^ (b >>> 7) ^ c;\n c = (c - d) | 0;\n d = (d << 24) ^ (d >>> 8) ^ a;\n a = (a - b) | 0;\n me.b = b = (b << 20) ^ (b >>> 12) ^ c;\n me.c = c = (c - d) | 0;\n me.d = (d << 16) ^ (c >>> 16) ^ a;\n return me.a = (a - b) | 0;\n };\n\n /* The following is non-inverted tyche, which has better internal\n * bit diffusion, but which is about 25% slower than tyche-i in JS.\n me.next = function() {\n var a = me.a, b = me.b, c = me.c, d = me.d;\n a = (me.a + me.b | 0) >>> 0;\n d = me.d ^ a; d = d << 16 ^ d >>> 16;\n c = me.c + d | 0;\n b = me.b ^ c; b = b << 12 ^ d >>> 20;\n me.a = a = a + b | 0;\n d = d ^ a; me.d = d = d << 8 ^ d >>> 24;\n me.c = c = c + d | 0;\n b = b ^ c;\n return me.b = (b << 7 ^ b >>> 25);\n }\n */\n\n me.a = 0;\n me.b = 0;\n me.c = 2654435769 | 0;\n me.d = 1367130551;\n\n if (seed === Math.floor(seed)) {\n // Integer seed.\n me.a = (seed / 0x100000000) | 0;\n me.b = seed | 0;\n } else {\n // String seed.\n strseed += seed;\n }\n\n // Mix in string seed, then discard an initial batch of 64 values.\n for (var k = 0; k < strseed.length + 20; k++) {\n me.b ^= strseed.charCodeAt(k) | 0;\n me.next();\n }\n}\n\nfunction copy(f, t) {\n t.a = f.a;\n t.b = f.b;\n t.c = f.c;\n t.d = f.d;\n return t;\n};\n\nfunction impl(seed, opts) {\n var xg = new XorGen(seed),\n state = opts && opts.state,\n prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n prng.double = function() {\n do {\n var top = xg.next() >>> 11,\n bot = (xg.next() >>> 0) / 0x100000000,\n result = (top + bot) / (1 << 21);\n } while (result === 0);\n return result;\n };\n prng.int32 = xg.next;\n prng.quick = prng;\n if (state) {\n if (typeof(state) == 'object') copy(state, xg);\n prng.state = function() { return copy(xg, {}); }\n }\n return prng;\n}\n\nif (module && module.exports) {\n module.exports = impl;\n} else if (define && define.amd) {\n define(function() { return impl; });\n} else {\n this.tychei = impl;\n}\n\n})(\n this,\n (typeof module) == 'object' && module, // present in node.js\n (typeof define) == 'function' && define // present with an AMD loader\n);\n\n\n", "/*\nCopyright 2019 David Bau.\n\nPermission is hereby granted, free of charge, to any person obtaining\na copy of this software and associated documentation files (the\n\"Software\"), to deal in the Software without restriction, including\nwithout limitation the rights to use, copy, modify, merge, publish,\ndistribute, sublicense, and/or sell copies of the Software, and to\npermit persons to whom the Software is furnished to do so, subject to\nthe following conditions:\n\nThe above copyright notice and this permission notice shall be\nincluded in all copies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND,\nEXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF\nMERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.\nIN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY\nCLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,\nTORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE\nSOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.\n\n*/\n\n(function (global, pool, math) {\n//\n// The following constants are related to IEEE 754 limits.\n//\n\nvar width = 256, // each RC4 output is 0 <= x < 256\n chunks = 6, // at least six RC4 outputs for each double\n digits = 52, // there are 52 significant digits in a double\n rngname = 'random', // rngname: name for Math.random and Math.seedrandom\n startdenom = math.pow(width, chunks),\n significance = math.pow(2, digits),\n overflow = significance * 2,\n mask = width - 1,\n nodecrypto; // node.js crypto module, initialized at the bottom.\n\n//\n// seedrandom()\n// This is the seedrandom function described above.\n//\nfunction seedrandom(seed, options, callback) {\n var key = [];\n options = (options == true) ? { entropy: true } : (options || {});\n\n // Flatten the seed string or build one from local entropy if needed.\n var shortseed = mixkey(flatten(\n options.entropy ? [seed, tostring(pool)] :\n (seed == null) ? autoseed() : seed, 3), key);\n\n // Use the seed to initialize an ARC4 generator.\n var arc4 = new ARC4(key);\n\n // This function returns a random double in [0, 1) that contains\n // randomness in every bit of the mantissa of the IEEE 754 value.\n var prng = function() {\n var n = arc4.g(chunks), // Start with a numerator n < 2 ^ 48\n d = startdenom, // and denominator d = 2 ^ 48.\n x = 0; // and no 'extra last byte'.\n while (n < significance) { // Fill up all significant digits by\n n = (n + x) * width; // shifting numerator and\n d *= width; // denominator and generating a\n x = arc4.g(1); // new least-significant-byte.\n }\n while (n >= overflow) { // To avoid rounding up, before adding\n n /= 2; // last byte, shift everything\n d /= 2; // right using integer math until\n x >>>= 1; // we have exactly the desired bits.\n }\n return (n + x) / d; // Form the number within [0, 1).\n };\n\n prng.int32 = function() { return arc4.g(4) | 0; }\n prng.quick = function() { return arc4.g(4) / 0x100000000; }\n prng.double = prng;\n\n // Mix the randomness into accumulated entropy.\n mixkey(tostring(arc4.S), pool);\n\n // Calling convention: what to return as a function of prng, seed, is_math.\n return (options.pass || callback ||\n function(prng, seed, is_math_call, state) {\n if (state) {\n // Load the arc4 state from the given state if it has an S array.\n if (state.S) { copy(state, arc4); }\n // Only provide the .state method if requested via options.state.\n prng.state = function() { return copy(arc4, {}); }\n }\n\n // If called as a method of Math (Math.seedrandom()), mutate\n // Math.random because that is how seedrandom.js has worked since v1.0.\n if (is_math_call) { math[rngname] = prng; return seed; }\n\n // Otherwise, it is a newer calling convention, so return the\n // prng directly.\n else return prng;\n })(\n prng,\n shortseed,\n 'global' in options ? options.global : (this == math),\n options.state);\n}\n\n//\n// ARC4\n//\n// An ARC4 implementation. The constructor takes a key in the form of\n// an array of at most (width) integers that should be 0 <= x < (width).\n//\n// The g(count) method returns a pseudorandom integer that concatenates\n// the next (count) outputs from ARC4. Its return value is a number x\n// that is in the range 0 <= x < (width ^ count).\n//\nfunction ARC4(key) {\n var t, keylen = key.length,\n me = this, i = 0, j = me.i = me.j = 0, s = me.S = [];\n\n // The empty key [] is treated as [0].\n if (!keylen) { key = [keylen++]; }\n\n // Set up S using the standard key scheduling algorithm.\n while (i < width) {\n s[i] = i++;\n }\n for (i = 0; i < width; i++) {\n s[i] = s[j = mask & (j + key[i % keylen] + (t = s[i]))];\n s[j] = t;\n }\n\n // The \"g\" method returns the next (count) outputs as one number.\n (me.g = function(count) {\n // Using instance members instead of closure state nearly doubles speed.\n var t, r = 0,\n i = me.i, j = me.j, s = me.S;\n while (count--) {\n t = s[i = mask & (i + 1)];\n r = r * width + s[mask & ((s[i] = s[j = mask & (j + t)]) + (s[j] = t))];\n }\n me.i = i; me.j = j;\n return r;\n // For robust unpredictability, the function call below automatically\n // discards an initial batch of values. This is called RC4-drop[256].\n // See http://google.com/search?q=rsa+fluhrer+response&btnI\n })(width);\n}\n\n//\n// copy()\n// Copies internal state of ARC4 to or from a plain object.\n//\nfunction copy(f, t) {\n t.i = f.i;\n t.j = f.j;\n t.S = f.S.slice();\n return t;\n};\n\n//\n// flatten()\n// Converts an object tree to nested arrays of strings.\n//\nfunction flatten(obj, depth) {\n var result = [], typ = (typeof obj), prop;\n if (depth && typ == 'object') {\n for (prop in obj) {\n try { result.push(flatten(obj[prop], depth - 1)); } catch (e) {}\n }\n }\n return (result.length ? result : typ == 'string' ? obj : obj + '\\0');\n}\n\n//\n// mixkey()\n// Mixes a string seed into a key that is an array of integers, and\n// returns a shortened string seed that is equivalent to the result key.\n//\nfunction mixkey(seed, key) {\n var stringseed = seed + '', smear, j = 0;\n while (j < stringseed.length) {\n key[mask & j] =\n mask & ((smear ^= key[mask & j] * 19) + stringseed.charCodeAt(j++));\n }\n return tostring(key);\n}\n\n//\n// autoseed()\n// Returns an object for autoseeding, using window.crypto and Node crypto\n// module if available.\n//\nfunction autoseed() {\n try {\n var out;\n if (nodecrypto && (out = nodecrypto.randomBytes)) {\n // The use of 'out' to remember randomBytes makes tight minified code.\n out = out(width);\n } else {\n out = new Uint8Array(width);\n (global.crypto || global.msCrypto).getRandomValues(out);\n }\n return tostring(out);\n } catch (e) {\n var browser = global.navigator,\n plugins = browser && browser.plugins;\n return [+new Date, global, plugins, global.screen, tostring(pool)];\n }\n}\n\n//\n// tostring()\n// Converts an array of charcodes to a string\n//\nfunction tostring(a) {\n return String.fromCharCode.apply(0, a);\n}\n\n//\n// When seedrandom.js is loaded, we immediately mix a few bits\n// from the built-in RNG into the entropy pool. Because we do\n// not want to interfere with deterministic PRNG state later,\n// seedrandom will not call math.random on its own again after\n// initialization.\n//\nmixkey(math.random(), pool);\n\n//\n// Nodejs and AMD support: export the implementation as a module using\n// either convention.\n//\nif ((typeof module) == 'object' && module.exports) {\n module.exports = seedrandom;\n // When in node.js, try using crypto package for autoseeding.\n try {\n nodecrypto = require('crypto');\n } catch (ex) {}\n} else if ((typeof define) == 'function' && define.amd) {\n define(function() { return seedrandom; });\n} else {\n // When included as a plain script, set up Math.seedrandom global.\n math['seed' + rngname] = seedrandom;\n}\n\n\n// End anonymous scope, and pass initial values.\n})(\n // global: `self` in browsers (including strict mode and web workers),\n // otherwise `this` in Node and other environments\n (typeof self !== 'undefined') ? self : this,\n [], // pool: entropy pool starts empty\n Math // math: package containing random, pow, and seedrandom\n);\n", "// A library of seedable RNGs implemented in Javascript.\n//\n// Usage:\n//\n// var seedrandom = require('seedrandom');\n// var random = seedrandom(1); // or any seed.\n// var x = random(); // 0 <= x < 1. Every bit is random.\n// var x = random.quick(); // 0 <= x < 1. 32 bits of randomness.\n\n// alea, a 53-bit multiply-with-carry generator by Johannes Baag\u00F8e.\n// Period: ~2^116\n// Reported to pass all BigCrush tests.\nvar alea = require('./lib/alea');\n\n// xor128, a pure xor-shift generator by George Marsaglia.\n// Period: 2^128-1.\n// Reported to fail: MatrixRank and LinearComp.\nvar xor128 = require('./lib/xor128');\n\n// xorwow, George Marsaglia's 160-bit xor-shift combined plus weyl.\n// Period: 2^192-2^32\n// Reported to fail: CollisionOver, SimpPoker, and LinearComp.\nvar xorwow = require('./lib/xorwow');\n\n// xorshift7, by Fran\u00E7ois Panneton and Pierre L'ecuyer, takes\n// a different approach: it adds robustness by allowing more shifts\n// than Marsaglia's original three. It is a 7-shift generator\n// with 256 bits, that passes BigCrush with no systmatic failures.\n// Period 2^256-1.\n// No systematic BigCrush failures reported.\nvar xorshift7 = require('./lib/xorshift7');\n\n// xor4096, by Richard Brent, is a 4096-bit xor-shift with a\n// very long period that also adds a Weyl generator. It also passes\n// BigCrush with no systematic failures. Its long period may\n// be useful if you have many generators and need to avoid\n// collisions.\n// Period: 2^4128-2^32.\n// No systematic BigCrush failures reported.\nvar xor4096 = require('./lib/xor4096');\n\n// Tyche-i, by Samuel Neves and Filipe Araujo, is a bit-shifting random\n// number generator derived from ChaCha, a modern stream cipher.\n// https://eden.dei.uc.pt/~sneves/pubs/2011-snfa2.pdf\n// Period: ~2^127\n// No systematic BigCrush failures reported.\nvar tychei = require('./lib/tychei');\n\n// The original ARC4-based prng included in this library.\n// Period: ~2^1600\nvar sr = require('./seedrandom');\n\nsr.alea = alea;\nsr.xor128 = xor128;\nsr.xorwow = xorwow;\nsr.xorshift7 = xorshift7;\nsr.xor4096 = xor4096;\nsr.tychei = tychei;\n\nmodule.exports = sr;\n", "", null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, "export const wasmWorkerContents = 'var threadInfoStruct=0;var selfThreadId=0;var parentThreadId=0;var Module={};function threadPrintErr(){var text=Array.prototype.slice.call(arguments).join(\" \");console.error(text)}function threadAlert(){var text=Array.prototype.slice.call(arguments).join(\" \");postMessage({cmd:\"alert\",text:text,threadId:selfThreadId})}var err=threadPrintErr;this.alert=threadAlert;Module[\"instantiateWasm\"]=function(info,receiveInstance){var instance=new WebAssembly.Instance(Module[\"wasmModule\"],info);Module[\"wasmModule\"]=null;receiveInstance(instance);return instance.exports};this.onmessage=function(e){try{if(e.data.cmd===\"load\"){Module[\"DYNAMIC_BASE\"]=e.data.DYNAMIC_BASE;Module[\"DYNAMICTOP_PTR\"]=e.data.DYNAMICTOP_PTR;Module[\"wasmModule\"]=e.data.wasmModule;Module[\"wasmMemory\"]=e.data.wasmMemory;Module[\"buffer\"]=Module[\"wasmMemory\"].buffer;Module[\"ENVIRONMENT_IS_PTHREAD\"]=true;if(typeof e.data.urlOrBlob===\"string\"){importScripts(e.data.urlOrBlob)}else{var objectUrl=URL.createObjectURL(e.data.urlOrBlob);importScripts(objectUrl);URL.revokeObjectURL(objectUrl)}Module=WasmBackendModuleThreadedSimd(Module);postMessage({\"cmd\":\"loaded\"})}else if(e.data.cmd===\"objectTransfer\"){Module[\"PThread\"].receiveObjectTransfer(e.data)}else if(e.data.cmd===\"run\"){Module[\"__performance_now_clock_drift\"]=performance.now()-e.data.time;threadInfoStruct=e.data.threadInfoStruct;Module[\"__register_pthread_ptr\"](threadInfoStruct,0,0);selfThreadId=e.data.selfThreadId;parentThreadId=e.data.parentThreadId;var max=e.data.stackBase;var top=e.data.stackBase+e.data.stackSize;Module[\"establishStackSpace\"](top,max);Module[\"_emscripten_tls_init\"]();Module[\"PThread\"].receiveObjectTransfer(e.data);Module[\"PThread\"].setThreadStatus(Module[\"_pthread_self\"](),1);try{var result=Module[\"dynCall_ii\"](e.data.start_routine,e.data.arg);if(!Module[\"getNoExitRuntime\"]())Module[\"PThread\"].threadExit(result)}catch(ex){if(ex===\"Canceled!\"){Module[\"PThread\"].threadCancel()}else if(ex!=\"unwind\"){Atomics.store(Module[\"HEAPU32\"],threadInfoStruct+4>>2,ex instanceof Module[\"ExitStatus\"]?ex.status:-2);Atomics.store(Module[\"HEAPU32\"],threadInfoStruct+0>>2,1);Module[\"_emscripten_futex_wake\"](threadInfoStruct+0,2147483647);if(!(ex instanceof Module[\"ExitStatus\"]))throw ex}}}else if(e.data.cmd===\"cancel\"){if(threadInfoStruct){Module[\"PThread\"].threadCancel()}}else if(e.data.target===\"setimmediate\"){}else if(e.data.cmd===\"processThreadQueue\"){if(threadInfoStruct){Module[\"_emscripten_current_thread_process_queued_calls\"]()}}else{err(\"worker.js received unknown command \"+e.data.cmd);err(e.data)}}catch(ex){err(\"worker.js onmessage() captured an uncaught exception: \"+ex);if(ex.stack)err(ex.stack);throw ex}};if(typeof process===\"object\"&&typeof process.versions===\"object\"&&typeof process.versions.node===\"string\"){self={location:{href:__filename}};var onmessage=this.onmessage;var nodeWorkerThreads=require(\"worker_threads\");Worker=nodeWorkerThreads.Worker;var parentPort=nodeWorkerThreads.parentPort;parentPort.on(\"message\",function(data){onmessage({data:data})});var nodeFS=require(\"fs\");var nodeRead=function(filename){return nodeFS.readFileSync(filename,\"utf8\")};function globalEval(x){global.require=require;global.Module=Module;eval.call(null,x)}importScripts=function(f){globalEval(nodeRead(f))};postMessage=function(msg){parentPort.postMessage(msg)};if(typeof performance===\"undefined\"){performance={now:function(){return Date.now()}}}}';", null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, "// wrapper to load tfjs in a single place so version can be changed quickly\n\n// simplified\n// { modules: 1061, moduleBytes: 3772720, outputBytes: 1531035 }\n\n// export * from '@tensorflow/tfjs/dist/index.js';\n// export * from '@tensorflow/tfjs-backend-wasm';\n\n// modular\n// { modules: 1064, moduleBytes: 3793219, outputBytes: 1535600 }\n\n// get versions of all packages.\nimport * as packageBundle from '@tensorflow/tfjs/package.json';\nimport * as packageCore from '@tensorflow/tfjs-core/package.json';\nimport * as packageData from '@tensorflow/tfjs-data/package.json';\nimport * as packageLayers from '@tensorflow/tfjs-layers/package.json';\nimport * as packageConverter from '@tensorflow/tfjs-converter/package.json';\n// for backends, get version from source so it can register backend during import\nimport { version_cpu } from '@tensorflow/tfjs-backend-cpu/dist/index.js';\nimport { version_webgl } from '@tensorflow/tfjs-backend-webgl/dist/index.js';\nimport { version_wasm } from '@tensorflow/tfjs-backend-wasm/dist/index.js';\n\n// export all\nexport * from '@tensorflow/tfjs-core/dist/index.js';\nexport * from '@tensorflow/tfjs-layers/dist/index.js';\nexport * from '@tensorflow/tfjs-converter/dist/index.js';\nexport * as data from '@tensorflow/tfjs-data/dist/index.js';\nexport * from '@tensorflow/tfjs-backend-cpu/dist/index.js';\nexport * from '@tensorflow/tfjs-backend-webgl/dist/index.js';\nexport * from '@tensorflow/tfjs-backend-wasm/dist/index.js';\n\n// export versions\nexport const version = {\n tfjs: packageBundle.version,\n 'tfjs-core': packageCore.version,\n 'tfjs-data': packageData.version,\n 'tfjs-layers': packageLayers.version,\n 'tfjs-converter': packageConverter.version,\n 'tfjs-backend-cpu': version_cpu,\n 'tfjs-backend-webgl': version_webgl,\n 'tfjs-backend-wasm': version_wasm,\n};\n"], + "mappings": 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}, + node: { + platform: 'node', + format: 'cjs', + metafile: 'dist/human.node.json', + entryPoints: ['src/human.ts'], + outfile: 'dist/human.node-gpu.js', + external: ['@tensorflow'], + }, + }, + browserNoBundle: { tfjs: { platform: 'browser', @@ -117,42 +154,6 @@ const targets = { external: ['fs', 'buffer', 'util'], }, }, - node: { - tfjs: { - platform: 'node', - format: 'cjs', - metafile: 'dist/tfjs.esm.json', - entryPoints: ['src/tfjs/tf-node.ts'], - outfile: 'dist/tfjs.esm.js', - external: ['@tensorflow'], - }, - node: { - platform: 'node', - format: 'cjs', - metafile: 'dist/human.node.json', - entryPoints: ['src/human.ts'], - outfile: 'dist/human.node.js', - external: ['@tensorflow'], - }, - }, - nodeGPU: { - tfjs: { - platform: 'node', - format: 'cjs', - metafile: 'dist/tfjs.esm.json', - entryPoints: ['src/tfjs/tf-node-gpu.ts'], - outfile: 'dist/tfjs.esm.js', - external: ['@tensorflow'], - }, - node: { - platform: 'node', - format: 'cjs', - metafile: 'dist/human.node.json', - entryPoints: ['src/human.ts'], - outfile: 'dist/human.node-gpu.js', - external: ['@tensorflow'], - }, - }, }; async function getStats(metafile) { diff --git a/src/embedding/embedding.ts b/src/embedding/embedding.ts index cd7fba1b..d113c828 100644 --- a/src/embedding/embedding.ts +++ b/src/embedding/embedding.ts @@ -16,6 +16,8 @@ export async function load(config) { } export function simmilarity(embedding1, embedding2) { + if (!embedding1 || embedding2) return 0; + if (embedding1?.length === 0 || embedding2?.length === 0) return 0; if (embedding1?.length !== embedding2?.length) return 0; // general minkowski distance // euclidean distance is limited case where order is 2