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human
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human/dist/human.node-gpu.js

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/*
Human library
homepage: <https://github.com/vladmandic/human>
author: <https://github.com/vladmandic>'
*/
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h=H.tidy(()=>a.sub(.5).mul(2));a.dispose();let y=[];if(t.face.emotion.enabled){let m;if(t.profile){let p=await H.profile(()=>se.predict(h));m=p.result.dataSync(),p.result.dispose(),B("emotion",p)}else{let p=await se.predict(h);m=p.dataSync(),H.dispose(p)}for(let p=0;p<m.length;p++)m[p]>t.face.emotion.minConfidence&&y.push({score:Math.min(.99,Math.trunc(100*m[p])/100),emotion:nn[p]});y.sort((p,x)=>x.score-p.score)}h.dispose(),S1=y,n(y)})):null}var W=k(O());var re;async function N1(e){return re||(re=await W.loadGraphModel(e.face.embedding.modelPath),e.debug&&g(`load model: ${e.face.embedding.modelPath.match(/\/(.*)\./)[1]}`)),re}function Zt(e,t,n=2){if(!e||!t||(e==null?void 0:e.length)===0||(t==null?void 0:t.length)===0||(e==null?void 0:e.length)!==(t==null?void 0:t.length))return 0;let c=e.map((_,A)=>Math.abs(e[A]-t[A])**n).reduce((_,A)=>_+A,0)**(1/n);return Math.max(Math.trunc(1e3*(1-c))/1e3,0)}function rn(e){return W.tidy(()=>{let n=[[.05,.15,.85,.85]],c=e.image||e.tensor;if(!(c 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F.loadGraphModel(e.face.description.modelPath),e.debug&&g(`load model: ${e.face.description.modelPath.match(/\/(.*)\./)[1]}`)),ce}function Z1(e,t,n=2){if(!e||!t||(e==null?void 0:e.length)===0||(t==null?void 0:t.length)===0||(e==null?void 0:e.length)!==(t==null?void 0:t.length))return 0;let c=4*e.map((_,A)=>Math.abs(e[A]-t[A])**n).reduce((_,A)=>_+A,0)**(1/n);return Math.max(0,100-c)/100}function Vt(e,t,n=0){let c={similarity:0,name:"",source:"",embedding:[]};if(!e||!t||!Array.isArray(e)||!Array.isArray(t))return c;for(let r of t)if(r.embedding&&r.name){let _=Z1(e,r.embedding);_>n&&_>c.similarity&&(c={...r,similarity:_})}return c}function V1(e){return F.tidy(()=>{let n=e.image||e.tensor||e;if(!(n instanceof F.Tensor))return null;let c=[[.05,.15,.85,.85]];return(n.shape.length===3?F.image.cropAndResize(F.expandDims(n,0),c,[0],[ce.inputs[0].shape[2],ce.inputs[0].shape[1]]):F.image.cropAndResize(n,c,[0],[ce.inputs[0].shape[2],ce.inputs[0].shape[1]])).mul(255)})}async function Ue(e,t){return ce?Ke<t.face.description.skipFrames&&t.videoOptimized&&Je.age&&Je.age>0?(Ke++,Je):(t.videoOptimized?Ke=0:Ke=Number.MAX_SAFE_INTEGER,new Promise(async n=>{let c=V1(e),r,_={age:0,gender:"unknown",genderConfidence:0,descriptor:[]};if(!t.profile)t.face.description.enabled&&(r=await ce.predict(c));else{let A=t.face.description.enabled?await F.profile(()=>ce.predict(c)):{};r=A.result,B("faceres",A)}F.dispose(c),r&&(F.tidy(()=>{let A=r.find(h=>h.shape[1]===1).dataSync(),o=Math.trunc(200*Math.abs(A[0]-.5))/100;o>t.face.gender.minConfidence&&(_.gender=A[0]<=.5?"female":"male",_.genderConfidence=Math.min(.99,o));let s=r.find(h=>h.shape[1]===100).argMax(1).dataSync()[0],i=r.find(h=>h.shape[1]===100).dataSync();_.age=Math.round(i[s-1]>i[s+1]?10*s-100*i[s-1]:10*s+100*i[s+1])/10;let a=r.find(h=>h.shape[1]===1024);_.descriptor=[...a.dataSync()]}),r.forEach(A=>F.dispose(A))),Je=_,n(_)})):null}var cn=(e,t)=>{let n=d=>d*180/Math.PI,c=d=>{let f=Math.sqrt(d[0]*d[0]+d[1]*d[1]+d[2]*d[2]);return 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n,c,r,_,A,o,s=[];e.state="run:face",n=M();let i=await((a=e.models.face)==null?void 0:a.estimateFaces(t,e.config));if(e.perf.face=Math.trunc(M()-n),!i)return[];for(let f of i){if(e.analyze("Get Face"),!f.image||f.image.isDisposedInternal){g("Face object is disposed:",f.image);continue}let T=cn(f,[t.shape[2],t.shape[1]]);e.analyze("Start Age:"),e.config.async?c=e.config.face.age.enabled?Fe(f.image,e.config):{}:(e.state="run:age",n=M(),c=e.config.face.age.enabled?await Fe(f.image,e.config):{},e.perf.age=Math.trunc(M()-n)),e.analyze("Start Gender:"),e.config.async?r=e.config.face.gender.enabled?Ce(f.image,e.config):{}:(e.state="run:gender",n=M(),r=e.config.face.gender.enabled?await Ce(f.image,e.config):{},e.perf.gender=Math.trunc(M()-n)),e.analyze("Start Emotion:"),e.config.async?_=e.config.face.emotion.enabled?Ye(f.image,e.config):{}:(e.state="run:emotion",n=M(),_=e.config.face.emotion.enabled?await Ye(f.image,e.config):{},e.perf.emotion=Math.trunc(M()-n)),e.analyze("End Emotion:"),e.analyze("Start Embedding:"),e.config.async?A=e.config.face.embedding.enabled?O1(f,e.config):[]:(e.state="run:embedding",n=M(),A=e.config.face.embedding.enabled?await O1(f,e.config):[],e.perf.embedding=Math.trunc(M()-n)),e.analyze("End Embedding:"),e.analyze("Start Description:"),e.config.async?o=e.config.face.description.enabled?Ue(f,e.config):[]:(e.state="run:description",n=M(),o=e.config.face.description.enabled?await Ue(f.image,e.config):[],e.perf.embedding=Math.trunc(M()-n)),e.analyze("End Description:"),e.config.async&&([c,r,_,A,o]=await Promise.all([c,r,_,A,o])),e.analyze("Finish Face:"),!e.config.face.iris.enabled&&((h=f==null?void 0:f.annotations)==null?void 0:h.leftEyeIris)&&((y=f==null?void 0:f.annotations)==null?void 0:y.rightEyeIris)&&(delete f.annotations.leftEyeIris,delete f.annotations.rightEyeIris);let S=((m=f.annotations)==null?void 0:m.leftEyeIris)&&((p=f.annotations)==null?void 0:p.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;s.push({...f,age:o.age||c.age,gender:o.gender||r.gender,genderConfidence:o.genderConfidence||r.confidence,embedding:o.descriptor||A,emotion:_,iris:S!==0?Math.trunc(S)/100:0,rotation:T,tensor:e.config.face.detector.return?(x=f.image)==null?void 0:x.squeeze():null}),(d=f.image)==null||d.dispose(),e.analyze("End Face")}return e.analyze("End FaceMesh:"),e.config.async&&(e.perf.face&&delete e.perf.face,e.perf.age&&delete e.perf.age,e.perf.gender&&delete e.perf.gender,e.perf.emotion&&delete e.perf.emotion),s};var B1={};ee(B1,{MediaPipeFaceMesh:()=>J1,load:()=>K1,triangulation:()=>Ut,uvmap:()=>Dt});var Y1=k(O());var z=k(O()),Lt=6;function An(e){let t={strides:[e/16,e/8],anchors:[2,6]},n=[];for(let c=0;c<t.strides.length;c++){let 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an=[127,234,132,58,172,150,149,148,152,377,378,379,397,288,361,454,356,70,63,105,66,107,336,296,334,293,300,168,6,195,4,98,97,2,326,327,33,160,158,133,153,144,362,385,387,263,373,380,57,40,37,0,267,270,287,321,314,17,84,91,78,81,13,311,308,402,14,178],xn=[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],yn=[33,133,362,263,1,78,308],lr=an.map(e=>Ee[e]),dr=xn.map(e=>Ee[e]),fr=yn.map(e=>Ee[e]);var F1=Ae.leftEyeLower0,q1=Ae.rightEyeLower0,ge={leftBounds:[F1[0],F1[F1.length-1]],rightBounds:[q1[0],q1[q1.length-1]]},e1={count:468,mouth:13,symmetryLine:[13,Ae.midwayBetweenEyes[0]]},Kt={leftEye:0,rightEye:1,nose:2,mouth:3,leftEar:4,rightEar:5,symmetryLine:[3,2]},Te={upperCenter:3,lowerCenter:4,index:71,numCoordinates:76};function t1(e,t,n,c){for(let r=0;r<X1.length;r++){let{key:_,indices:A}=X1[r],o=Ae[`${n}${_}`];if(!c||c.includes(_))for(let s=0;s<A.length;s++){let i=A[s];e[o[s]]=[t[i][0],t[i][1],(t[i][2]+e[o[s]][2])/2]}}}var C1=class{constructor(t,n,c){var r,_;this.storedBoxes=[],this.boundingBoxDetector=t,this.meshDetector=n,this.irisModel=c,this.boxSize=((r=t==null?void 0:t.model)==null?void 0:r.inputs[0].shape[2])||0,this.meshSize=(n==null?void 0:n.inputs[0].shape[2])||((_=t==null?void 0:t.model)==null?void 0:_.inputs[0].shape[2]),this.irisSize=(c==null?void 0:c.inputs[0].shape[1])||0,this.irisEnlarge=2.3,this.skipped=0,this.detectedFaces=0}transformRawCoords(t,n,c,r){let _=Re({startPoint:n.startPoint,endPoint:n.endPoint}),A=t.map(h=>[_[0]/this.meshSize*(h[0]-this.meshSize/2),_[1]/this.meshSize*(h[1]-this.meshSize/2),h[2]]),o=c!==0?$e(c,[0,0]):Qe,s=c!==0?A.map(h=>[...Jt(h,o),h[2]]):A,i=c!==0?Yt(r):Qe,a=[...ue({startPoint:n.startPoint,endPoint:n.endPoint}),1];return s.map(h=>[h[0]+he(a,i[0]),h[1]+he(a,i[1]),h[2]])}getLeftToRightEyeDepthDifference(t){let n=t[ge.leftBounds[0]][2],c=t[ge.rightBounds[0]][2];return n-c}getEyeBox(t,n,c,r,_=!1){let A=Ge(De(this.calculateLandmarksBoundingBox([t[c],t[r]]),this.irisEnlarge)),o=Re(A),s=q.image.cropAndResize(n,[[A.startPoint[1]/this.meshSize,A.startPoint[0]/this.meshSize,A.endPoint[1]/this.meshSize,A.endPoint[0]/this.meshSize]],[0],[this.irisSize,this.irisSize]);return _&&q.ENV.flags.IS_BROWSER&&(s=q.image.flipLeftRight(s)),{box:A,boxSize:o,crop:s}}getEyeCoords(t,n,c,r=!1){let _=[];for(let A=0;A<Te.numCoordinates;A++){let o=t[A*3],s=t[A*3+1],i=t[A*3+2];_.push([(r?1-o/this.irisSize:o/this.irisSize)*c[0]+n.startPoint[0],s/this.irisSize*c[1]+n.startPoint[1],i])}return{rawCoords:_,iris:_.slice(Te.index)}}getAdjustedIrisCoords(t,n,c){let r=t[Ae[`${c}EyeUpper0`][Te.upperCenter]][2],_=t[Ae[`${c}EyeLower0`][Te.lowerCenter]][2],A=(r+_)/2;return n.map((o,s)=>{let i=A;return s===2?i=r:s===4&&(i=_),[o[0],o[1],i]})}async predict(t,n){let c=!1,r;if((this.skipped===0||this.skipped>n.face.detector.skipFrames||!n.face.mesh.enabled||!n.videoOptimized)&&(r=await this.boundingBoxDetector.getBoundingBoxes(t),this.skipped=0),n.videoOptimized&&this.skipped++,!n.videoOptimized||r&&r.boxes&&(!n.face.mesh.enabled||r.boxes.length!==this.detectedFaces&&this.detectedFaces!==n.face.detector.maxFaces)){this.storedBoxes=[],this.detectedFaces=0;for(let A of r.boxes)this.storedBoxes.push({startPoint:A.box.startPoint.dataSync(),endPoint:A.box.endPoint.dataSync(),landmarks:A.landmarks,confidence:A.confidence});this.storedBoxes.length>0&&(c=!0)}if(n.face.detector.skipInitial&&this.detectedFaces===0&&(this.skipped=0),c){if(!r||!r.boxes||r.boxes.length===0)return this.storedBoxes=[],this.detectedFaces=0,null;for(let A=0;A<this.storedBoxes.length;A++){let o=qt({startPoint:this.storedBoxes[A].startPoint,endPoint:this.storedBoxes[A].endPoint},r.scaleFactor),s=De(o),i=Ge(s),a=this.storedBoxes[A].landmarks.arraySync(),h=this.storedBoxes[A].confidence;this.storedBoxes[A]={...i,confidence:h,landmarks:a}}}r&&r.boxes&&r.boxes.forEach(A=>{A.box.startPoint.dispose(),A.box.endPoint.dispose(),A.landmarks.dispose()});let _=q.tidy(()=>this.storedBoxes.map((A,o)=>{let s=A.confidence,i,a=0,h;if(n.face.detector.rotation&&n.face.mesh.enabled&&q.ENV.flags.IS_BROWSER){let[u,w]=A.landmarks.length>=e1.count?e1.symmetryLine:Kt.symmetryLine;a=H1(A.landmarks[u],A.landmarks[w]);let b=ue({startPoint:A.startPoint,endPoint:A.endPoint}),v=[b[0]/t.shape[2],b[1]/t.shape[1]],R=q.image.rotateWithOffset(t,a,0,v);h=$e(-a,b),n.face.mesh.enabled?i=be({startPoint:A.startPoint,endPoint:A.endPoint},R,[this.meshSize,this.meshSize]).div(255):i=be({startPoint:A.startPoint,endPoint:A.endPoint},R,[this.boxSize,this.boxSize]).div(255)}else{h=Qe;let u=t.clone();n.face.mesh.enabled?i=be({startPoint:A.startPoint,endPoint:A.endPoint},u,[this.meshSize,this.meshSize]).div(255):i=be({startPoint:A.startPoint,endPoint:A.endPoint},u,[this.boxSize,this.boxSize]).div(255)}if(!n.face.mesh.enabled)return{coords:null,box:A,faceConfidence:null,boxConfidence:s,confidence:A.confidence,image:i};let[,y,m]=this.meshDetector.predict(i),p=y.dataSync()[0];if(p<n.face.detector.minConfidence)return null;let d=q.reshape(m,[-1,3]).arraySync();if(n.face.iris.enabled){let{box:u,boxSize:w,crop:b}=this.getEyeBox(d,i,ge.leftBounds[0],ge.leftBounds[1],!0),{box:v,boxSize:R,crop:V}=this.getEyeBox(d,i,ge.rightBounds[0],ge.rightBounds[1]),Y=this.irisModel.predict(q.concat([b,V])).dataSync(),p1=Y.slice(0,Te.numCoordinates*3),{rawCoords:Ze,iris:we}=this.getEyeCoords(p1,u,w,!0),L0=Y.slice(Te.numCoordinates*3),{rawCoords:Et,iris:H0}=this.getEyeCoords(L0,v,R),St=this.getLeftToRightEyeDepthDifference(d);Math.abs(St)<30?(t1(d,Ze,"left",null),t1(d,Et,"right",null)):St<1?t1(d,Ze,"left",["EyeUpper0","EyeLower0"]):t1(d,Et,"right",["EyeUpper0","EyeLower0"]);let X0=this.getAdjustedIrisCoords(d,we,"left"),F0=this.getAdjustedIrisCoords(d,H0,"right");d=d.concat(X0).concat(F0)}let f=this.transformRawCoords(d,A,a,h);A=De(this.calculateLandmarksBoundingBox(f),1.5);let T=q.tensor2d(f);if(n.face.detector.rotation&&n.face.mesh.enabled&&(n.face.description.enabled||n.face.embedding.enabled)&&q.ENV.flags.IS_BROWSER){let[u,w]=A.landmarks.length>=e1.count?e1.symmetryLine:Kt.symmetryLine;a=H1(A.landmarks[u],A.landmarks[w]);let b=ue({startPoint:A.startPoint,endPoint:A.endPoint}),v=[b[0]/t.shape[2],b[1]/t.shape[1]],R=q.image.rotateWithOffset(t,a,0,v);h=$e(-a,b),i=be({startPoint:A.startPoint,endPoint:A.endPoint},R,[this.meshSize,this.meshSize]).div(255)}let S={coords:T,box:A,faceConfidence:p,boxConfidence:s,image:i,rawCoords:d},N=Ge(A);return this.storedBoxes[o]={...N,landmarks:f,confidence:A.confidence,faceConfidence:p},S}));return _=_.filter(A=>A!==null),n.face.mesh.enabled&&(this.storedBoxes=this.storedBoxes.filter(A=>A.faceConfidence>n.face.detector.minConfidence)),this.detectedFaces=_.length,_}calculateLandmarksBoundingBox(t){let n=t.map(A=>A[0]),c=t.map(A=>A[1]),r=[Math.min(...n),Math.min(...c)],_=[Math.max(...n),Math.max(...c)];return{startPoint:r,endPoint:_,landmarks:t}}};var J1=class{constructor(t,n,c,r){this.facePipeline=new C1(t,n,c),this.config=r}async estimateFaces(t,n){let c=await this.facePipeline.predict(t,n),r=[];for(let _ of c||[]){if(_.isDisposedInternal)continue;let A=_.coords?_.coords.arraySync():[],o=A.map(h=>[h[0]/t.shape[2],h[1]/t.shape[1],h[2]/this.facePipeline.meshSize]),s={};if(A&&A.length>0)for(let h of Object.keys(Ae))s[h]=Ae[h].map(y=>A[y]);let i=_.box?[Math.max(0,_.box.startPoint[0]),Math.max(0,_.box.startPoint[1]),Math.min(t.shape[2],_.box.endPoint[0])-Math.max(0,_.box.startPoint[0]),Math.min(t.shape[1],_.box.endPoint[1])-Math.max(0,_.box.startPoint[1])]:0,a=_.box?[_.box.startPoint[0]/t.shape[2],_.box.startPoint[1]/t.shape[1],(_.box.endPoint[0]-_.box.startPoint[0])/t.shape[2],(_.box.endPoint[1]-_.box.startPoint[1])/t.shape[1]]:[];r.push({confidence:Math.round(100*_.faceConfidence||100*_.boxConfidence||0)/100,boxConfidence:Math.round(100*_.boxConfidence)/100,faceConfidence:Math.round(100*_.faceConfidence)/100,box:i,boxRaw:a,mesh:A,meshRaw:o,annotations:s,image:_.image?_.image.clone():null}),_.coords&&_.coords.dispose(),_.image&&_.image.dispose()}return r}},fe=[null,null,null];async function K1(e){fe=await Promise.all([!fe[0]&&e.face.enabled?Xt(e):null,!fe[1]&&e.face.mesh.enabled?Y1.loadGraphModel(e.face.mesh.modelPath,{fromTFHub:e.face.mesh.modelPath.includes("tfhub.dev")}):null,!fe[2]&&e.face.iris.enabled?Y1.loadGraphModel(e.face.iris.modelPath,{fromTFHub:e.face.iris.modelPath.includes("tfhub.dev")}):null]);let t=new J1(fe[0],fe[1],fe[2],e);return e.face.mesh.enabled&&e.debug&&g(`load model: ${e.face.mesh.modelPath.match(/\/(.*)\./)[1]}`),e.face.iris.enabled&&e.debug&&g(`load model: ${e.face.iris.modelPath.match(/\/(.*)\./)[1]}`),t}var Ut=de,Dt=Ee;var ct={};ee(ct,{PoseNet:()=>At,load:()=>_t});var w0=k(O());var Gt=k(O());function wn(e){let[t,n,c,r]=e;return{offsets:t,heatmap:n,displacementFwd:c,displacementBwd:r}}var U1=class{constructor(t){this.model=t}predict(t){return Gt.tidy(()=>{let c=t.toFloat().div(127.5).sub(1).expandDims(0),_=this.model.predict(c).map(o=>o.squeeze([0])),A=wn(_);return{heatmapScores:A.heatmap.sigmoid(),offsets:A.offsets,displacementFwd:A.displacementFwd,displacementBwd:A.displacementBwd}})}dispose(){this.model.dispose()}};function D1(e){return Math.floor(e/2)}var G1=class{constructor(t,n){this.priorityQueue=new Array(t),this.numberOfElements=-1,this.getElementValue=n}enqueue(t){this.priorityQueue[++this.numberOfElements]=t,this.swim(this.numberOfElements)}dequeue(){let t=this.priorityQueue[0];return this.exchange(0,this.numberOfElements--),this.sink(0),this.priorityQueue[this.numberOfElements+1]=null,t}empty(){return this.numberOfElements===-1}size(){return this.numberOfElements+1}all(){return this.priorityQueue.slice(0,this.numberOfElements+1)}max(){return this.priorityQueue[0]}swim(t){for(;t>0&&this.less(D1(t),t);)this.exchange(t,D1(t)),t=D1(t)}sink(t){for(;2*t<=this.numberOfElements;){let n=2*t;if(n<this.numberOfElements&&this.less(n,n+1)&&n++,!this.less(t,n))break;this.exchange(t,n),t=n}}getValueAt(t){return this.getElementValue(this.priorityQueue[t])}less(t,n){return this.getValueAt(t)<this.getValueAt(n)}exchange(t,n){let c=this.priorityQueue[t];this.priorityQueue[t]=this.priorityQueue[n],this.priorityQueue[n]=c}};function ln(e,t,n,c,r,_){let[A,o]=_.shape,s=!0,i=Math.max(n-r,0),a=Math.min(n+r+1,A);for(let h=i;h<a;++h){let y=Math.max(c-r,0),m=Math.min(c+r+1,o);for(let p=y;p<m;++p)if(_.get(h,p,e)>t){s=!1;break}if(!s)break}return s}function Qt(e,t,n){let[c,r,_]=n.shape,A=new G1(c*r*_,({score:o})=>o);for(let o=0;o<c;++o)for(let s=0;s<r;++s)for(let i=0;i<_;++i){let a=n.get(o,s,i);a<e||ln(i,a,o,s,t,n)&&A.enqueue({score:a,part:{heatmapY:o,heatmapX:s,id:i}})}return A}var Pe=["nose","leftEye","rightEye","leftEar","rightEar","leftShoulder","rightShoulder","leftElbow","rightElbow","leftWrist","rightWrist","leftHip","rightHip","leftKnee","rightKnee","leftAnkle","rightAnkle"],ve=Pe.length,Se=Pe.reduce((e,t,n)=>(e[t]=n,e),{}),dn=[["leftHip","leftShoulder"],["leftElbow","leftShoulder"],["leftElbow","leftWrist"],["leftHip","leftKnee"],["leftKnee","leftAnkle"],["rightHip","rightShoulder"],["rightElbow","rightShoulder"],["rightElbow","rightWrist"],["rightHip","rightKnee"],["rightKnee","rightAnkle"],["leftShoulder","rightShoulder"],["leftHip","rightHip"]],jr=dn.map(([e,t])=>[Se[e],Se[t]]),$t=[["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"]];function Q1(e,t,n,c){return{y:c.get(e,t,n),x:c.get(e,t,n+ve)}}function n1(e,t,n){let{heatmapY:c,heatmapX:r,id:_}=e,{y:A,x:o}=Q1(c,r,_,n);return{x:e.heatmapX*t+o,y:e.heatmapY*t+A}}function $1(e,t,n){return e<t?t:e>n?n:e}function e0(e,t,n,c){let r=n-e,_=c-t;return r*r+_*_}function et(e,t){return{x:e.x+t.x,y:e.y+t.y}}var K=k(O());function t0(e,t){let n=t.shape[0],c=new Float32Array(n);for(let r=0;r<n;r++){let _=t.get(r,0),A=t.get(r,1);c[r]=e.get(_,A,r)}return c}function fn(e,t,n,c){return{y:c.get(e,t,n),x:c.get(e,t,n+ve)}}function mn(e,t){let n=[];for(let c=0;c<ve;c++){let r=e.get(c,0).valueOf(),_=e.get(c,1).valueOf(),{x:A,y:o}=fn(r,_,c,t);n.push(o),n.push(A)}return K.tensor2d(n,[ve,2])}function n0(e,t,n){return K.tidy(()=>e.toTensor().mul(K.scalar(t,"int32")).toFloat().add(mn(e,n)))}function pn(e,t){return K.tidy(()=>{let n=e.div(K.scalar(t,"int32"));return e.sub(n.mul(K.scalar(t,"int32")))})}function r0(e){let[t,n,c]=e.shape;return K.tidy(()=>{let _=e.reshape([t*n,c]).argMax(0),A=_.div(K.scalar(n,"int32")).expandDims(1),o=pn(_,n).expandDims(1);return K.concat([A,o],1)})}var c0=$t.map(([e,t])=>[Se[e],Se[t]]),tt=c0.map(([,e])=>e),A0=c0.map(([e])=>e),un=16;function bn(e,t,n){let c=n.shape[2]/2;return{y:n.get(t.y,t.x,e),x:n.get(t.y,t.x,c+e)}}function nt(e,t,n,c){return{y:$1(Math.round(e.y/t),0,n-1),x:$1(Math.round(e.x/t),0,c-1)}}function _0(e,t,n,c,r,_,A,o=2){let[s,i]=c.shape,a=nt(t.position,_,s,i),h=bn(e,a,A),m=et(t.position,h);for(let d=0;d<o;d++){let f=nt(m,_,s,i),T=Q1(f.y,f.x,n,r);m=et({x:f.x*_,y:f.y*_},{x:T.x,y:T.y})}let p=nt(m,_,s,i),x=c.get(p.y,p.x,n);return{position:m,part:Pe[n],score:x}}function o0(e,t,n,c,r,_){let A=t.shape[2],o=tt.length,s=new Array(A),{part:i,score:a}=e,h=n1(i,c,n);s[i.id]={score:a,part:Pe[i.id],position:h};for(let y=o-1;y>=0;--y){let m=tt[y],p=A0[y];s[m]&&!s[p]&&(s[p]=_0(y,s[m],p,t,n,c,_))}for(let y=0;y<o;++y){let m=A0[y],p=tt[y];s[m]&&!s[p]&&(s[p]=_0(y,s[m],p,t,n,c,r))}return s}async function s0(e,t,n){let c=0,r=r0(e),_=await Promise.all([e.buffer(),t.buffer(),r.buffer()]),A=_[0],o=_[1],s=_[2],i=n0(s,un,o),a=await i.buffer(),y=Array.from(t0(A,s)).map((p,x)=>(c+=p,{position:{y:a.get(x,0),x:a.get(x,1)},part:Pe[x],score:p})),m=y.filter(p=>p.score>n);return r.dispose(),i.dispose(),{keypoints:m,score:c/y.length}}var gn=1,h0=16;function i0(e,t,{x:n,y:c},r){return e.some(({keypoints:_})=>{let A=_[r].position;return e0(c,n,A.y,A.x)<=t})}function Tn(e,t,n){return n.reduce((r,{position:_,score:A},o)=>(i0(e,t,_,o)||(r+=A),r),0)/n.length}function a0(e,t,n,c,r,_,A){let o=[],s=Qt(A,gn,e),i=r^2;for(;o.length<_&&!s.empty();){let a=s.dequeue(),h=n1(a.part,h0,t);if(i0(o,i,h,a.part.id))continue;let y=o0(a,e,t,h0,n,c),m=Tn(o,i,y);m>A&&o.push({keypoints:y,score:Math.round(100*m)/100})}return o}async function x0(e){return Promise.all(e.map(t=>t.buffer()))}function Pn(e,t,n){return{score:e.score,keypoints:e.keypoints.map(({score:c,part:r,position:_})=>({score:c,part:r,position:{x:Math.trunc(_.x*n),y:Math.trunc(_.y*t)}}))}}function y0(e,[t,n]){let c=e.squeeze(0),r=c.resizeBilinear([t,n]);return c.dispose(),r}function rt(e,[t,n],[c,r]){return e.map(A=>Pn(A,t/c,n/r))}async function vn(e,t,n,c){return new Promise(async r=>{let _=await x0([t.heatmapScores,t.offsets,t.displacementFwd,t.displacementBwd]),A=_[0],o=_[1],s=_[2],i=_[3],a=await a0(A,o,s,i,n.body.nmsRadius,n.body.maxDetections,n.body.scoreThreshold),h=rt(a,[e.shape[1],e.shape[2]],[c,c]);r(h)})}async function zn(e,t,n,c){return new Promise(async r=>{let _=await s0(t.heatmapScores,t.offsets,n.body.scoreThreshold),A=rt([_],[e.shape[1],e.shape[2]],[c,c]);r(A)})}var At=class{constructor(t){this.baseModel=t,this.inputSize=t.model.inputs[0].shape[1],this.inputSize<128&&(this.inputSize=257)}async estimatePoses(t,n){let c=y0(t,[this.inputSize,this.inputSize]),r=this.baseModel.predict(c,n),_=n.body.maxDetections<2?await zn(t,r,n,this.inputSize):await vn(t,r,n,this.inputSize);return r.heatmapScores.dispose(),r.offsets.dispose(),r.displacementFwd.dispose(),r.displacementBwd.dispose(),c.dispose(),_}dispose(){this.baseModel.dispose()}};async function _t(e){let t=await w0.loadGraphModel(e.body.modelPath),n=new U1(t);return e.debug&&g(`load model: ${e.body.modelPath.match(/\/(.*)\./)[1]}`),new At(n)}var at={};ee(at,{HandPose:()=>wt,load:()=>lt});var xt=k(O());var P=k(O());var l0=k(O());function r1(e){return[Math.abs(e.endPoint[0]-e.startPoint[0]),Math.abs(e.endPoint[1]-e.startPoint[1])]}function je(e){return[e.startPoint[0]+(e.endPoint[0]-e.startPoint[0])/2,e.startPoint[1]+(e.endPoint[1]-e.startPoint[1])/2]}function d0(e,t,n){let c=t.shape[1],r=t.shape[2],_=[[e.startPoint[1]/c,e.startPoint[0]/r,e.endPoint[1]/c,e.endPoint[0]/r]];return l0.image.cropAndResize(t,_,[0],n)}function f0(e,t){let n=[e.startPoint[0]*t[0],e.startPoint[1]*t[1]],c=[e.endPoint[0]*t[0],e.endPoint[1]*t[1]],r=e.palmLandmarks.map(_=>[_[0]*t[0],_[1]*t[1]]);return{startPoint:n,endPoint:c,palmLandmarks:r,confidence:e.confidence}}function c1(e,t=1.5){let n=je(e),c=r1(e),r=[t*c[0]/2,t*c[1]/2],_=[n[0]-r[0],n[1]-r[1]],A=[n[0]+r[0],n[1]+r[1]];return{startPoint:_,endPoint:A,palmLandmarks:e.palmLandmarks}}function A1(e){let t=je(e),n=r1(e),r=Math.max(...n)/2,_=[t[0]-r,t[1]-r],A=[t[0]+r,t[1]+r];return{startPoint:_,endPoint:A,palmLandmarks:e.palmLandmarks}}var ot=class{constructor(t,n,c){this.model=t,this.anchors=c.map(r=>[r.x_center,r.y_center]),this.anchorsTensor=P.tensor2d(this.anchors),this.inputSize=n,this.inputSizeTensor=P.tensor1d([n,n]),this.doubleInputSizeTensor=P.tensor1d([n*2,n*2])}normalizeBoxes(t){return P.tidy(()=>{let 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n=t.map(A=>A[0]),c=t.map(A=>A[1]),r=[Math.min(...n),Math.min(...c)],_=[Math.max(...n),Math.max(...c)];return{startPoint:r,endPoint:_}}};var 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v0=["nose","leftEyeInside","leftEye","leftEyeOutside","rightEyeInside","rightEye","rightEyeOutside","leftEar","rightEar","leftMouth","rightMouth","leftShoulder","rightShoulder","leftElbow","rightElbow","leftWrist","rightWrist","leftPalm","rightPalm","leftIndex","rightIndex","leftPinky","rightPinky","leftHip","rightHip","leftKnee","rightKnee","leftAnkle","rightAnkle","leftHeel","rightHeel","leftFoot","rightFoot","midHip","forehead","leftThumb","leftHand","rightThumb","rightHand"],z0=["nose","leftEyeInside","leftEye","leftEyeOutside","rightEyeInside","rightEye","rightEyeOutside","leftEar","rightEar","leftMouth","rightMouth","leftShoulder","rightShoulder","leftElbow","rightElbow","left:15","right:16","left:17","right:18","left:19","right:20","left:21","right:22","leftChest","rightChest","neck","forehead","left:27","right:28","left:29","right:30"];var D;async function ft(e){return D||(D=await ae.loadGraphModel(e.body.modelPath),D.width=parseInt(D.signature.inputs["input_1:0"].tensorShape.dim[2].size),D.height=parseInt(D.signature.inputs["input_1:0"].tensorShape.dim[1].size),e.debug&&g(`load model: ${e.body.modelPath.match(/\/(.*)\./)[1]}`)),D}async function mt(e,t){if(!D||!t.body.enabled)return null;let n={width:e.shape[2],height:e.shape[1]},c=ae.image.resizeBilinear(e,[D.width,D.height],!1),r=ae.div(c,[255]);c.dispose();let _;if(t.profile){let a=await ae.profile(()=>D.predict(r));_=a.result.find(h=>h.size===195||h.size===155).dataSync(),a.result.forEach(h=>h.dispose()),B("blazepose",a)}else{let a=await D.predict(r);_=a.find(h=>h.size===195||h.size===155).dataSync(),a.forEach(h=>h.dispose())}r.dispose();let A=[],o=_.length===195?v0:z0,s=5;for(let 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2Q==`;var Z0="1.3.1";var Me,Oe,ke,me,l1,Ie,d1,f1,m1,V0=class{constructor(t={}){Me.set(this,void 0);Oe.set(this,void 0);ke.set(this,void 0);me.set(this,void 0);this.analyze=(...t)=>{if(!U(this,Oe))return;let n=this.tf.engine().state.numTensors,c=U(this,Me);le(this,Me,n);let r=n-c;r!==0&&g(...t,r)};l1.set(this,t=>{if(!U(this,ke))return null;if(!t)return"input is not defined";if(this.tf.ENV.flags.IS_NODE&&!(t instanceof Rt.Tensor))return"input must be a tensor";try{this.tf.getBackend()}catch(n){return"backend not loaded"}return null});Ie.set(this,async(t=!1)=>{if(this.config.backend&&this.config.backend!==""&&t||this.tf.getBackend()!==this.config.backend){let n=M();if(this.state="backend",this.config.backend&&this.config.backend!==""){if(this.tf.ENV.flags.IS_BROWSER&&this.config.backend==="tensorflow"&&(this.config.backend="webgl"),this.tf.ENV.flags.IS_NODE&&(this.config.backend==="webgl"||this.config.backend==="wasm")&&(this.config.backend="tensorflow"),this.config.debug&&g("setting backend:",this.config.backend),this.config.backend==="wasm"){this.config.debug&&g("wasm path:",this.config.wasmPath),this.tf.setWasmPaths(this.config.wasmPath);let c=await this.tf.env().getAsync("WASM_HAS_SIMD_SUPPORT"),r=await this.tf.env().getAsync("WASM_HAS_MULTITHREAD_SUPPORT");this.config.debug&&g(`wasm execution: ${c?"SIMD":"no SIMD"} ${r?"multithreaded":"singlethreaded"}`),c||g("warning: wasm simd support is not enabled")}this.config.backend==="humangl"&&It();try{await this.tf.setBackend(this.config.backend)}catch(c){g("error: cannot set backend:",this.config.backend,c)}}if(this.tf.enableProdMode(),this.tf.getBackend()==="webgl"||this.tf.getBackend()==="humangl"){this.tf.ENV.set("CHECK_COMPUTATION_FOR_ERRORS",!1),this.tf.ENV.set("WEBGL_PACK_DEPTHWISECONV",!0),this.config.deallocate&&(g("changing webgl: WEBGL_DELETE_TEXTURE_THRESHOLD:",this.config.deallocate),this.tf.ENV.set("WEBGL_DELETE_TEXTURE_THRESHOLD",this.config.deallocate?0:-1));let c=await this.tf.backend().getGPGPUContext().gl;this.config.debug&&g(`gl version:${c.getParameter(c.VERSION)} renderer:${c.getParameter(c.RENDERER)}`)}await this.tf.ready(),this.perf.backend=Math.trunc(M()-n)}});d1.set(this,async()=>{let t=(r,_="application/octet-stream")=>fetch(`data:${_};base64,${r}`).then(A=>A.blob()),n,c;switch(this.config.warmup){case"face":n=await t(y1);break;case"full":n=await t(w1);break;default:n=null}if(n){let r=await createImageBitmap(n);c=await this.detect(r,this.config),r.close()}return c});f1.set(this,async()=>new Promise(t=>{let n,c=0;switch(this.config.warmup){case"face":c=256,n="data:image/jpeg;base64,"+y1;break;case"full":case"body":c=1200,n="data:image/jpeg;base64,"+w1;break;default:n=null}let r=new Image;r.onload=async()=>{let _=typeof OffscreenCanvas!="undefined"?new OffscreenCanvas(c,c):document.createElement("canvas");_.width=r.naturalWidth,_.height=r.naturalHeight;let A=_.getContext("2d");A==null||A.drawImage(r,0,0);let o=await this.detect(_,this.config);t(o)},n?r.src=n:t(null)}));m1.set(this,async()=>{let t=A=>Buffer.from(A,"base64"),n=this.config.warmup==="face"?t(y1):t(w1),c=Rt.node.decodeJpeg(n),r=c.expandDims(0);this.tf.dispose(c);let _=await this.detect(r,this.config);return this.tf.dispose(r),_});this.tf=Rt,this.draw=zt,this.version=Z0,this.config=pe(j,t),this.state="idle",le(this,Me,0),le(this,Oe,!1),le(this,ke,!1),le(this,me,!0),this.perf={},this.models={face:null,posenet:null,blazepose:null,efficientpose:null,handpose:null,iris:null,age:null,gender:null,emotion:null,embedding:null,nanodet:null,faceres:null},this.image=n=>vt(n,this.config),this.classes={facemesh:B1,age:g1,gender:P1,emotion:E1,faceres:k1,body:this.config.body.modelPath.includes("posenet")?ct:dt,hand:at,nanodet:bt},this.faceTriangulation=Ut,this.faceUVMap=Dt,this.sysinfo=Nt()}profileData(){return this.config.profile?Le:{}}similarity(t,n){return this.config.face.description.enabled?Z1(t,n):this.config.face.embedding.enabled?Zt(t,n):0}enhance(t){return V1(t)}match(t,n,c=0){return Vt(t,n,c)}async load(t={}){this.state="load";let n=M();t&&(this.config=pe(this.config,t)),U(this,me)&&(this.config.debug&&g(`version: ${this.version}`),this.config.debug&&g(`tfjs version: ${this.tf.version_core}`),this.config.debug&&g("platform:",this.sysinfo.platform),this.config.debug&&g("agent:",this.sysinfo.agent),await U(this,Ie).call(this,!0),this.tf.ENV.flags.IS_BROWSER&&(this.config.debug&&g("configuration:",this.config),this.config.debug&&g("tf flags:",this.tf.ENV.flags))),this.config.async?[this.models.face,this.models.age,this.models.gender,this.models.emotion,this.models.embedding,this.models.handpose,this.models.posenet,this.models.blazepose,this.models.efficientpose,this.models.nanodet,this.models.faceres]=await Promise.all([this.models.face||(this.config.face.enabled?K1(this.config):null),this.models.age||(this.config.face.enabled&&this.config.face.age.enabled?T1(this.config):null),this.models.gender||(this.config.face.enabled&&this.config.face.gender.enabled?R1(this.config):null),this.models.emotion||(this.config.face.enabled&&this.config.face.emotion.enabled?W1(this.config):null),this.models.embedding||(this.config.face.enabled&&this.config.face.embedding.enabled?N1(this.config):null),this.models.handpose||(this.config.hand.enabled?lt(this.config):null),this.models.posenet||(this.config.body.enabled&&this.config.body.modelPath.includes("posenet")?_t(this.config):null),this.models.blazepose||(this.config.body.enabled&&this.config.body.modelPath.includes("blazepose")?ft(this.config):null),this.models.efficientpose||(this.config.body.enabled&&this.config.body.modelPath.includes("efficientpose")?pt(this.config):null),this.models.nanodet||(this.config.object.enabled?Tt(this.config):null),this.models.faceres||(this.config.face.enabled&&this.config.face.description.enabled?I1(this.config):null)]):(this.config.face.enabled&&!this.models.face&&(this.models.face=await K1(this.config)),this.config.face.enabled&&this.config.face.age.enabled&&!this.models.age&&(this.models.age=await T1(this.config)),this.config.face.enabled&&this.config.face.gender.enabled&&!this.models.gender&&(this.models.gender=await R1(this.config)),this.config.face.enabled&&this.config.face.emotion.enabled&&!this.models.emotion&&(this.models.emotion=await W1(this.config)),this.config.face.enabled&&this.config.face.embedding.enabled&&!this.models.embedding&&(this.models.embedding=await N1(this.config)),this.config.hand.enabled&&!this.models.handpose&&(this.models.handpose=await lt(this.config)),this.config.body.enabled&&!this.models.posenet&&this.config.body.modelPath.includes("posenet")&&(this.models.posenet=await _t(this.config)),this.config.body.enabled&&!this.models.blazepose&&this.config.body.modelPath.includes("blazepose")&&(this.models.blazepose=await ft(this.config)),this.config.body.enabled&&!this.models.efficientpose&&this.config.body.modelPath.includes("efficientpose")&&(this.models.efficientpose=await pt(this.config)),this.config.object.enabled&&!this.models.nanodet&&(this.models.nanodet=await Tt(this.config)),this.config.face.enabled&&this.config.face.description.enabled&&!this.models.faceres&&(this.models.faceres=await I1(this.config))),U(this,me)&&(this.config.debug&&g("tf engine state:",this.tf.engine().state.numBytes,"bytes",this.tf.engine().state.numTensors,"tensors"),le(this,me,!1));let c=Math.trunc(M()-n);c>(this.perf.load||0)&&(this.perf.load=c)}async detect(t,n={}){return new Promise(async c=>{var x,d,f,T;this.state="config";let r;this.config=pe(this.config,n),this.state="check";let _=U(this,l1).call(this,t);_&&(g(_,t),c({error:_}));let A=M();await U(this,Ie).call(this),await this.load(),this.config.scoped&&this.tf.engine().startScope(),this.analyze("Start Scope:"),r=M();let o=vt(t,this.config);if(!o||!o.tensor){g("could not convert input to tensor"),c({error:"could not convert input to tensor"});return}this.perf.image=Math.trunc(M()-r),this.analyze("Get Image:");let s,i,a,h,y;this.config.async?(a=this.config.face.enabled?L1(this,o.tensor):[],this.perf.face&&delete this.perf.face):(this.state="run:face",r=M(),a=this.config.face.enabled?await L1(this,o.tensor):[],y=Math.trunc(M()-r),y>0&&(this.perf.face=y)),this.analyze("Start Body:"),this.config.async?(this.config.body.modelPath.includes("posenet")?s=this.config.body.enabled?(x=this.models.posenet)==null?void 0:x.estimatePoses(o.tensor,this.config):[]:this.config.body.modelPath.includes("blazepose")?s=this.config.body.enabled?mt(o.tensor,this.config):[]:this.config.body.modelPath.includes("efficientpose")&&(s=this.config.body.enabled?ut(o.tensor,this.config):[]),this.perf.body&&delete this.perf.body):(this.state="run:body",r=M(),this.config.body.modelPath.includes("posenet")?s=this.config.body.enabled?await((d=this.models.posenet)==null?void 0:d.estimatePoses(o.tensor,this.config)):[]:this.config.body.modelPath.includes("blazepose")?s=this.config.body.enabled?await mt(o.tensor,this.config):[]:this.config.body.modelPath.includes("efficientpose")&&(s=this.config.body.enabled?await ut(o.tensor,this.config):[]),y=Math.trunc(M()-r),y>0&&(this.perf.body=y)),this.analyze("End Body:"),this.analyze("Start Hand:"),this.config.async?(i=this.config.hand.enabled?(f=this.models.handpose)==null?void 0:f.estimateHands(o.tensor,this.config):[],this.perf.hand&&delete this.perf.hand):(this.state="run:hand",r=M(),i=this.config.hand.enabled?await((T=this.models.handpose)==null?void 0:T.estimateHands(o.tensor,this.config)):[],y=Math.trunc(M()-r),y>0&&(this.perf.hand=y)),this.analyze("End Hand:"),this.analyze("Start Object:"),this.config.async?(h=this.config.object.enabled?Pt(o.tensor,this.config):[],this.perf.object&&delete this.perf.object):(this.state="run:object",r=M(),h=this.config.object.enabled?await Pt(o.tensor,this.config):[],y=Math.trunc(M()-r),y>0&&(this.perf.object=y)),this.analyze("End Object:"),this.config.async&&([a,s,i,h]=await Promise.all([a,s,i,h])),o.tensor.dispose(),this.config.scoped&&this.tf.engine().endScope(),this.analyze("End Scope:");let m=[];this.config.gesture.enabled&&(r=M(),m=[...R0(a),...M0(s),...S0(i),...E0(a)],this.config.async?this.perf.gesture&&delete this.perf.gesture:this.perf.gesture=Math.trunc(M()-r)),this.perf.total=Math.trunc(M()-A),this.state="idle";let p={face:a,body:s,hand:i,gesture:m,object:h,performance:this.perf,canvas:o.canvas};c(p)})}async warmup(t={}){let n=M();t&&(this.config=pe(this.config,t));let c=this.config.videoOptimized;this.config.videoOptimized=!1;let r;typeof createImageBitmap=="function"?r=await U(this,d1).call(this):typeof Image!="undefined"?r=await U(this,f1).call(this):r=await U(this,m1).call(this),this.config.videoOptimized=c;let _=M();return this.config.debug&&g("Warmup",this.config.warmup,Math.round(_-n),"ms",r),r}};Me=new WeakMap,Oe=new WeakMap,ke=new WeakMap,me=new WeakMap,l1=new WeakMap,Ie=new WeakMap,d1=new WeakMap,f1=new WeakMap,m1=new WeakMap;0&&(module.exports={Human});
//# sourceMappingURL=human.node-gpu.js.map
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