/*
  Human library
  homepage: <https://github.com/vladmandic/human>
  author: <https://github.com/vladmandic>'
  */

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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]]},$e={count:468,mouth:13,symmetryLine:[13,Ae.midwayBetweenEyes[0]]},Kt={leftEye:0,rightEye:1,nose:2,mouth:3,leftEar:4,rightEar:5,symmetryLine:[3,2]},Te={upperCenter:3,lowerCenter:4,index:71,numCoordinates:76};function e1(e,t,n,c){for(let r=0;r<X1.length;r++){let{key:A,indices:_}=X1[r],o=Ae[`${n}${A}`];if(!c||c.includes(A))for(let s=0;s<_.length;s++){let h=_[s];e[o[s]]=[t[h][0],t[h][1],(t[h][2]+e[o[s]][2])/2]}}}var C1=class{constructor(t,n,c){var r,A;this.storedBoxes=[],this.boundingBoxDetector=t,this.meshDetector=n,this.irisModel=c,this.boxSize=((r=t==null?void 0:t.model)==null?void 0:r.inputs[0].shape[2])||0,this.meshSize=(n==null?void 0:n.inputs[0].shape[2])||((A=t==null?void 0:t.model)==null?void 0:A.inputs[0].shape[2]),this.irisSize=(c==null?void 0:c.inputs[0].shape[1])||0,this.irisEnlarge=2.3,this.skipped=0,this.detectedFaces=0}transformRawCoords(t,n,c,r){let A=Re({startPoint:n.startPoint,endPoint:n.endPoint}),_=t.map(i=>[A[0]/this.meshSize*(i[0]-this.meshSize/2),A[1]/this.meshSize*(i[1]-this.meshSize/2),i[2]]),o=c!==0?Qe(c,[0,0]):Ge,s=c!==0?_.map(i=>[...Jt(i,o),i[2]]):_,h=c!==0?Yt(r):Ge,x=[...ue({startPoint:n.startPoint,endPoint:n.endPoint}),1];return s.map(i=>[i[0]+he(x,h[0]),i[1]+he(x,h[1]),i[2]])}getLeftToRightEyeDepthDifference(t){let n=t[ge.leftBounds[0]][2],c=t[ge.rightBounds[0]][2];return n-c}getEyeBox(t,n,c,r,A=!1){let _=De(Ue(this.calculateLandmarksBoundingBox([t[c],t[r]]),this.irisEnlarge)),o=Re(_),s=q.image.cropAndResize(n,[[_.startPoint[1]/this.meshSize,_.startPoint[0]/this.meshSize,_.endPoint[1]/this.meshSize,_.endPoint[0]/this.meshSize]],[0],[this.irisSize,this.irisSize]);return A&&q.ENV.flags.IS_BROWSER&&(s=q.image.flipLeftRight(s)),{box:_,boxSize:o,crop:s}}getEyeCoords(t,n,c,r=!1){let A=[];for(let _=0;_<Te.numCoordinates;_++){let o=t[_*3],s=t[_*3+1],h=t[_*3+2];A.push([(r?1-o/this.irisSize:o/this.irisSize)*c[0]+n.startPoint[0],s/this.irisSize*c[1]+n.startPoint[1],h])}return{rawCoords:A,iris:A.slice(Te.index)}}getAdjustedIrisCoords(t,n,c){let r=t[Ae[`${c}EyeUpper0`][Te.upperCenter]][2],A=t[Ae[`${c}EyeLower0`][Te.lowerCenter]][2],_=(r+A)/2;return n.map((o,s)=>{let h=_;return s===2?h=r:s===4&&(h=A),[o[0],o[1],h]})}async predict(t,n){let c=!1,r;if((this.skipped===0||this.skipped>n.face.detector.skipFrames||!n.face.mesh.enabled||!n.videoOptimized)&&(r=await this.boundingBoxDetector.getBoundingBoxes(t),this.skipped=0),n.videoOptimized&&this.skipped++,!n.videoOptimized||r&&r.boxes&&(!n.face.mesh.enabled||r.boxes.length!==this.detectedFaces&&this.detectedFaces!==n.face.detector.maxFaces)){this.storedBoxes=[],this.detectedFaces=0;for(let _ of r.boxes)this.storedBoxes.push({startPoint:_.box.startPoint.dataSync(),endPoint:_.box.endPoint.dataSync(),landmarks:_.landmarks,confidence:_.confidence});this.storedBoxes.length>0&&(c=!0)}if(n.face.detector.skipInitial&&this.detectedFaces===0&&(this.skipped=0),c){if(!r||!r.boxes||r.boxes.length===0)return this.storedBoxes=[],this.detectedFaces=0,null;for(let _=0;_<this.storedBoxes.length;_++){let o=qt({startPoint:this.storedBoxes[_].startPoint,endPoint:this.storedBoxes[_].endPoint},r.scaleFactor),s=Ue(o),h=De(s),x=this.storedBoxes[_].landmarks.arraySync(),i=this.storedBoxes[_].confidence;this.storedBoxes[_]={...h,confidence:i,landmarks:x}}}r&&r.boxes&&r.boxes.forEach(_=>{_.box.startPoint.dispose(),_.box.endPoint.dispose(),_.landmarks.dispose()});let A=q.tidy(()=>this.storedBoxes.map((_,o)=>{let s=_.confidence,h,x=0,i;if(n.face.detector.rotation&&n.face.mesh.enabled&&q.ENV.flags.IS_BROWSER){let[u,w]=_.landmarks.length>=$e.count?$e.symmetryLine:Kt.symmetryLine;x=H1(_.landmarks[u],_.landmarks[w]);let b=ue({startPoint:_.startPoint,endPoint:_.endPoint}),v=[b[0]/t.shape[2],b[1]/t.shape[1]],R=q.image.rotateWithOffset(t,x,0,v);i=Qe(-x,b),n.face.mesh.enabled?h=be({startPoint:_.startPoint,endPoint:_.endPoint},R,[this.meshSize,this.meshSize]).div(255):h=be({startPoint:_.startPoint,endPoint:_.endPoint},R,[this.boxSize,this.boxSize]).div(255)}else{i=Ge;let u=t.clone();n.face.mesh.enabled?h=be({startPoint:_.startPoint,endPoint:_.endPoint},u,[this.meshSize,this.meshSize]).div(255):h=be({startPoint:_.startPoint,endPoint:_.endPoint},u,[this.boxSize,this.boxSize]).div(255)}if(!n.face.mesh.enabled)return{coords:null,box:_,faceConfidence:null,boxConfidence:s,confidence:_.confidence,image:h};let[,y,m]=this.meshDetector.predict(h),p=y.dataSync()[0];if(p<n.face.detector.minConfidence)return null;let d=q.reshape(m,[-1,3]).arraySync();if(n.face.iris.enabled){let{box:u,boxSize:w,crop:b}=this.getEyeBox(d,h,ge.leftBounds[0],ge.leftBounds[1],!0),{box:v,boxSize:R,crop:V}=this.getEyeBox(d,h,ge.rightBounds[0],ge.rightBounds[1]),Y=this.irisModel.predict(q.concat([b,V])).dataSync(),p1=Y.slice(0,Te.numCoordinates*3),{rawCoords:Ie,iris:we}=this.getEyeCoords(p1,u,w,!0),L0=Y.slice(Te.numCoordinates*3),{rawCoords:Et,iris:H0}=this.getEyeCoords(L0,v,R),St=this.getLeftToRightEyeDepthDifference(d);Math.abs(St)<30?(e1(d,Ie,"left",null),e1(d,Et,"right",null)):St<1?e1(d,Ie,"left",["EyeUpper0","EyeLower0"]):e1(d,Et,"right",["EyeUpper0","EyeLower0"]);let X0=this.getAdjustedIrisCoords(d,we,"left"),F0=this.getAdjustedIrisCoords(d,H0,"right");d=d.concat(X0).concat(F0)}let f=this.transformRawCoords(d,_,x,i);_=Ue(this.calculateLandmarksBoundingBox(f),1.5);let T=q.tensor2d(f);if(n.face.detector.rotation&&n.face.mesh.enabled&&(n.face.description.enabled||n.face.embedding.enabled)&&q.ENV.flags.IS_BROWSER){let[u,w]=_.landmarks.length>=$e.count?$e.symmetryLine:Kt.symmetryLine;x=H1(_.landmarks[u],_.landmarks[w]);let b=ue({startPoint:_.startPoint,endPoint:_.endPoint}),v=[b[0]/t.shape[2],b[1]/t.shape[1]],R=q.image.rotateWithOffset(t,x,0,v);i=Qe(-x,b),h=be({startPoint:_.startPoint,endPoint:_.endPoint},R,[this.meshSize,this.meshSize]).div(255)}let S={coords:T,box:_,faceConfidence:p,boxConfidence:s,image:h,rawCoords:d},N=De(_);return this.storedBoxes[o]={...N,landmarks:f,confidence:_.confidence,faceConfidence:p},S}));return A=A.filter(_=>_!==null),n.face.mesh.enabled&&(this.storedBoxes=this.storedBoxes.filter(_=>_.faceConfidence>n.face.detector.minConfidence)),this.detectedFaces=A.length,A}calculateLandmarksBoundingBox(t){let n=t.map(_=>_[0]),c=t.map(_=>_[1]),r=[Math.min(...n),Math.min(...c)],A=[Math.max(...n),Math.max(...c)];return{startPoint:r,endPoint:A,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 A of c||[]){if(A.isDisposedInternal)continue;let _=A.coords?A.coords.arraySync():[],o=_.map(i=>[i[0]/t.shape[2],i[1]/t.shape[1],i[2]/this.facePipeline.meshSize]),s={};if(_&&_.length>0)for(let i of Object.keys(Ae))s[i]=Ae[i].map(y=>_[y]);let h=A.box?[Math.max(0,A.box.startPoint[0]),Math.max(0,A.box.startPoint[1]),Math.min(t.shape[2],A.box.endPoint[0])-Math.max(0,A.box.startPoint[0]),Math.min(t.shape[1],A.box.endPoint[1])-Math.max(0,A.box.startPoint[1])]:0,x=A.box?[A.box.startPoint[0]/t.shape[2],A.box.startPoint[1]/t.shape[1],(A.box.endPoint[0]-A.box.startPoint[0])/t.shape[2],(A.box.endPoint[1]-A.box.startPoint[1])/t.shape[1]]:[];r.push({confidence:A.faceConfidence||A.boxConfidence||0,boxConfidence:A.boxConfidence,faceConfidence:A.faceConfidence,box:h,boxRaw:x,mesh:_,meshRaw:o,annotations:s,image:A.image?A.image.clone():null}),A.coords&&A.coords.dispose(),A.image&&A.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),A=this.model.predict(c).map(o=>o.squeeze([0])),_=wn(A);return{heatmapScores:_.heatmap.sigmoid(),offsets:_.offsets,displacementFwd:_.displacementFwd,displacementBwd:_.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,A){let[_,o]=A.shape,s=!0,h=Math.max(n-r,0),x=Math.min(n+r+1,_);for(let i=h;i<x;++i){let y=Math.max(c-r,0),m=Math.min(c+r+1,o);for(let p=y;p<m;++p)if(A.get(i,p,e)>t){s=!1;break}if(!s)break}return s}function Qt(e,t,n){let[c,r,A]=n.shape,_=new G1(c*r*A,({score:o})=>o);for(let o=0;o<c;++o)for(let s=0;s<r;++s)for(let h=0;h<A;++h){let x=n.get(o,s,h);x<e||ln(h,x,o,s,t,n)&&_.enqueue({score:x,part:{heatmapY:o,heatmapX:s,id:h}})}return _}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 t1(e,t,n){let{heatmapY:c,heatmapX:r,id:A}=e,{y:_,x:o}=Q1(c,r,A,n);return{x:e.heatmapX*t+o,y:e.heatmapY*t+_}}function $1(e,t,n){return e<t?t:e>n?n:e}function e0(e,t,n,c){let r=n-e,A=c-t;return r*r+A*A}function et(e,t){return{x:e.x+t.x,y:e.y+t.y}}var K=k(O());function t0(e,t){let n=t.shape[0],c=new Float32Array(n);for(let r=0;r<n;r++){let A=t.get(r,0),_=t.get(r,1);c[r]=e.get(A,_,r)}return c}function fn(e,t,n,c){return{y:c.get(e,t,n),x:c.get(e,t,n+ve)}}function mn(e,t){let n=[];for(let c=0;c<ve;c++){let r=e.get(c,0).valueOf(),A=e.get(c,1).valueOf(),{x:_,y:o}=fn(r,A,c,t);n.push(o),n.push(_)}return K.tensor2d(n,[ve,2])}function n0(e,t,n){return K.tidy(()=>e.toTensor().mul(K.scalar(t,"int32")).toFloat().add(mn(e,n)))}function pn(e,t){return K.tidy(()=>{let n=e.div(K.scalar(t,"int32"));return e.sub(n.mul(K.scalar(t,"int32")))})}function r0(e){let[t,n,c]=e.shape;return K.tidy(()=>{let A=e.reshape([t*n,c]).argMax(0),_=A.div(K.scalar(n,"int32")).expandDims(1),o=pn(A,n).expandDims(1);return K.concat([_,o],1)})}var c0=$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,h]=c.shape,x=nt(t.position,A,s,h),i=bn(e,x,_),m=et(t.position,i);for(let d=0;d<o;d++){let f=nt(m,A,s,h),T=Q1(f.y,f.x,n,r);m=et({x:f.x*A,y:f.y*A},{x:T.x,y:T.y})}let p=nt(m,A,s,h),a=c.get(p.y,p.x,n);return{position:m,part:Pe[n],score:a}}function o0(e,t,n,c,r,A){let _=t.shape[2],o=tt.length,s=new Array(_),{part:h,score:x}=e,i=t1(h,c,n);s[h.id]={score:x,part:Pe[h.id],position:i};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,A))}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),A=await Promise.all([e.buffer(),t.buffer(),r.buffer()]),_=A[0],o=A[1],s=A[2],h=n0(s,un,o),x=await h.buffer(),y=Array.from(t0(_,s)).map((p,a)=>(c+=p,{position:{y:x.get(a,0),x:x.get(a,1)},part:Pe[a],score:p})),m=y.filter(p=>p.score>n);return r.dispose(),h.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:A})=>{let _=A[r].position;return e0(c,n,_.y,_.x)<=t})}function Tn(e,t,n){return n.reduce((r,{position:A,score:_},o)=>(i0(e,t,A,o)||(r+=_),r),0)/n.length}function a0(e,t,n,c,r,A,_){let o=[],s=Qt(_,gn,e),h=r^2;for(;o.length<A&&!s.empty();){let x=s.dequeue(),i=t1(x.part,h0,t);if(i0(o,h,i,x.part.id))continue;let y=o0(x,e,t,h0,n,c),m=Tn(o,h,y);m>_&&o.push({keypoints:y,score:m})}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:A})=>({score:c,part:r,position:{x:Math.trunc(A.x*n),y:Math.trunc(A.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(_=>Pn(_,t/c,n/r))}async function vn(e,t,n,c){return new Promise(async r=>{let A=await x0([t.heatmapScores,t.offsets,t.displacementFwd,t.displacementBwd]),_=A[0],o=A[1],s=A[2],h=A[3],x=await a0(_,o,s,h,n.body.nmsRadius,n.body.maxDetections,n.body.scoreThreshold),i=rt(x,[e.shape[1],e.shape[2]],[c,c]);r(i)})}async function zn(e,t,n,c){return new Promise(async r=>{let A=await s0(t.heatmapScores,t.offsets,n.body.scoreThreshold),_=rt([A],[e.shape[1],e.shape[2]],[c,c]);r(_)})}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),A=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(),A}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 n1(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],A=[[e.startPoint[1]/c,e.startPoint[0]/r,e.endPoint[1]/c,e.endPoint[0]/r]];return l0.image.cropAndResize(t,A,[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(A=>[A[0]*t[0],A[1]*t[1]]);return{startPoint:n,endPoint:c,palmLandmarks:r,confidence:e.confidence}}function r1(e,t=1.5){let n=je(e),c=n1(e),r=[t*c[0]/2,t*c[1]/2],A=[n[0]-r[0],n[1]-r[1]],_=[n[0]+r[0],n[1]+r[1]];return{startPoint:A,endPoint:_,palmLandmarks:e.palmLandmarks}}function c1(e){let t=je(e),n=n1(e),r=Math.max(...n)/2,A=[t[0]-r,t[1]-r],_=[t[0]+r,t[1]+r];return{startPoint:A,endPoint:_,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(_=>_[0]),c=t.map(_=>_[1]),r=[Math.min(...n),Math.min(...c)],A=[Math.max(...n),Math.max(...c)];return{startPoint:r,endPoint:A}}};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 A;if(t.profile){let h=await ae.profile(()=>D.predict(r));A=h.result.find(x=>x.size===195||x.size===155).dataSync(),h.result.forEach(x=>x.dispose()),B("blazepose",h)}else{let h=await D.predict(r);A=h.find(x=>x.size===195||x.size===155).dataSync(),h.forEach(x=>x.dispose())}r.dispose();let _=[],o=A.length===195?v0:z0,s=5;for(let 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2Q==`;var Z0="1.3.0";var Me,Ne,Oe,me,l1,ke,d1,f1,m1,V0=class{constructor(t={}){Me.set(this,void 0);Ne.set(this,void 0);Oe.set(this,void 0);me.set(this,void 0);this.analyze=(...t)=>{if(!U(this,Ne))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,Oe))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});ke.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:${c.getParameter(c.RENDERER)}`)}await this.tf.ready(),this.perf.backend=Math.trunc(M()-n)}});d1.set(this,async()=>{let t=(r,A="application/octet-stream")=>fetch(`data:${A};base64,${r}`).then(_=>_.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 A=typeof OffscreenCanvas!="undefined"?new OffscreenCanvas(c,c):document.createElement("canvas");A.width=r.naturalWidth,A.height=r.naturalHeight;let _=A.getContext("2d");_==null||_.drawImage(r,0,0);let o=await this.detect(A,this.config);t(o)},n?r.src=n:t(null)}));m1.set(this,async()=>{let t=_=>Buffer.from(_,"base64"),n=this.config.warmup==="face"?t(y1):t(w1),c=Rt.node.decodeJpeg(n),r=c.expandDims(0);this.tf.dispose(c);let A=await this.detect(r,this.config);return this.tf.dispose(r),A});this.tf=Rt,this.draw=zt,this.version=Z0,this.config=pe(j,t),this.state="idle",le(this,Me,0),le(this,Ne,!1),le(this,Oe,!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?Ve:{}}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,ke).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 a,d,f,T;this.state="config";let r;this.config=pe(this.config,n),this.state="check";let A=U(this,l1).call(this,t);A&&(g(A,t),c({error:A}));let _=M();await U(this,ke).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,h,x,i,y;this.config.async?(x=this.config.face.enabled?L1(this,o.tensor):[],this.perf.face&&delete this.perf.face):(this.state="run:face",r=M(),x=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?(a=this.models.posenet)==null?void 0:a.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?(h=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(),h=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?(i=this.config.object.enabled?Pt(o.tensor,this.config):[],this.perf.object&&delete this.perf.object):(this.state="run:object",r=M(),i=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&&([x,s,h,i]=await Promise.all([x,s,h,i])),o.tensor.dispose(),this.config.scoped&&this.tf.engine().endScope(),this.analyze("End Scope:");let m=[];this.config.gesture.enabled&&(r=M(),m=[...R0(x),...M0(s),...S0(h),...E0(x)],this.config.async?this.perf.gesture&&delete this.perf.gesture:this.perf.gesture=Math.trunc(M()-r)),this.perf.total=Math.trunc(M()-_),this.state="idle";let p={face:x,body:s,hand:h,gesture:m,object:i,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 A=M();return this.config.debug&&g("Warmup",this.config.warmup,Math.round(A-n),"ms",r),r}};Me=new WeakMap,Ne=new WeakMap,Oe=new WeakMap,me=new WeakMap,l1=new WeakMap,ke=new WeakMap,d1=new WeakMap,f1=new WeakMap,m1=new WeakMap;0&&(module.exports={Human});
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