human/dist/human.esm-nobundle.js

    /*
      Human library
      homepage: <https://github.com/vladmandic/human>
      author: <https://github.com/vladmandic>'
    */
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we=[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],Se=[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],We=[33,133,362,263,1,78,308],N2=we.map(A=>R0[A]),O2=Se.map(A=>R0[A]),L2=We.map(A=>R0[A]);var l5=t0.leftEyeLower0,c5=t0.rightEyeLower0,p0={leftBounds:[l5[0],l5[l5.length-1]],rightBounds:[c5[0],c5[c5.length-1]]},X0={count:468,mouth:13,symmetryLine:[13,t0.midwayBetweenEyes[0]]},zA={leftEye:0,rightEye:1,nose:2,mouth:3,leftEar:4,rightEar:5,symmetryLine:[3,2]},b0={upperCenter:3,lowerCenter:4,index:71,numCoordinates:76};function F0(A,e,t,o){for(let n=0;n<y5.length;n++){let{key:x,indices:r}=y5[n],a=t0[`${t}${x}`];if(!o||o.includes(x))for(let y=0;y<r.length;y++){let i=r[y];A[a[y]]=[e[i][0],e[i][1],(e[i][2]+A[a[y]][2])/2]}}}var d5=class{constructor(e,t,o){var n,x;this.storedBoxes=[],this.boundingBoxDetector=e,this.meshDetector=t,this.irisModel=o,this.boxSize=((n=e==null?void 0:e.model)==null?void 0:n.inputs[0].shape[2])||0,this.meshSize=(t==null?void 0:t.inputs[0].shape[2])||((x=e==null?void 0:e.model)==null?void 0:x.inputs[0].shape[2]),this.irisSize=(o==null?void 0:o.inputs[0].shape[1])||0,this.irisEnlarge=2.3,this.skipped=0,this.detectedFaces=0}transformRawCoords(e,t,o,n){let x=E0({startPoint:t.startPoint,endPoint:t.endPoint}),r=e.map(l=>[x[0]/this.meshSize*(l[0]-this.meshSize/2),x[1]/this.meshSize*(l[1]-this.meshSize/2),l[2]]),a=o!==0?V0(o,[0,0]):Z0,y=o!==0?r.map(l=>[...bA(l,a),l[2]]):r,i=o!==0?pA(n):Z0,c=[...h0({startPoint:t.startPoint,endPoint:t.endPoint}),1];return y.map(l=>[Math.round(l[0]+r0(c,i[0])),Math.round(l[1]+r0(c,i[1])),Math.round(l[2])])}getLeftToRightEyeDepthDifference(e){let t=e[p0.leftBounds[0]][2],o=e[p0.rightBounds[0]][2];return t-o}getEyeBox(e,t,o,n,x=!1){let r=H0(L0(a5([e[o],e[n]]),this.irisEnlarge)),a=E0(r),y=s.image.cropAndResize(t,[[r.startPoint[1]/this.meshSize,r.startPoint[0]/this.meshSize,r.endPoint[1]/this.meshSize,r.endPoint[0]/this.meshSize]],[0],[this.irisSize,this.irisSize]);return x&&s.ENV.flags.IS_BROWSER&&(y=s.image.flipLeftRight(y)),{box:r,boxSize:a,crop:y}}getEyeCoords(e,t,o,n=!1){let x=[];for(let r=0;r<b0.numCoordinates;r++){let a=e[r*3],y=e[r*3+1],i=e[r*3+2];x.push([(n?1-a/this.irisSize:a/this.irisSize)*o[0]+t.startPoint[0],y/this.irisSize*o[1]+t.startPoint[1],i])}return{rawCoords:x,iris:x.slice(b0.index)}}getAdjustedIrisCoords(e,t,o){let n=e[t0[`${o}EyeUpper0`][b0.upperCenter]][2],x=e[t0[`${o}EyeLower0`][b0.lowerCenter]][2],r=(n+x)/2;return t.map((a,y)=>{let i=r;return y===2?i=n:y===4&&(i=x),[a[0],a[1],i]})}async predict(e,t){let o=!1,n;if((this.skipped===0||this.skipped>t.face.detector.skipFrames||!t.face.mesh.enabled||!t.skipFrame)&&(n=await this.boundingBoxDetector.getBoundingBoxes(e),this.skipped=0),t.skipFrame&&this.skipped++,!t.skipFrame||n&&n.boxes&&(!t.face.mesh.enabled||n.boxes.length!==this.detectedFaces&&this.detectedFaces!==t.face.detector.maxDetected)){this.storedBoxes=[],this.detectedFaces=0;for(let r of n.boxes)this.storedBoxes.push({startPoint:r.box.startPoint.dataSync(),endPoint:r.box.endPoint.dataSync(),landmarks:r.landmarks.arraySync(),confidence:r.confidence});this.storedBoxes.length>0&&(o=!0)}if(o){if(!n||!n.boxes||n.boxes.length===0)return this.storedBoxes=[],this.detectedFaces=0,null;for(let r=0;r<this.storedBoxes.length;r++){let a=fA({startPoint:this.storedBoxes[r].startPoint,endPoint:this.storedBoxes[r].endPoint},n.scaleFactor),y=L0(a),i=H0(y),c=this.storedBoxes[r].landmarks,l=this.storedBoxes[r].confidence;this.storedBoxes[r]={...i,confidence:l,landmarks:c}}}n&&n.boxes&&n.boxes.forEach(r=>{r.box.startPoint.dispose(),r.box.endPoint.dispose(),r.landmarks.dispose()});let x=s.tidy(()=>this.storedBoxes.map((r,a)=>{let y,i=0,c;if(t.face.detector.rotation&&t.face.mesh.enabled&&s.ENV.flags.IS_BROWSER){let[R,W]=r.landmarks.length>=X0.count?X0.symmetryLine:zA.symmetryLine;i=x5(r.landmarks[R],r.landmarks[W]);let M=h0({startPoint:r.startPoint,endPoint:r.endPoint}),p=[M[0]/e.shape[2],M[1]/e.shape[1]],T=s.image.rotateWithOffset(e,i,0,p);c=V0(-i,M),t.face.mesh.enabled?y=u0({startPoint:r.startPoint,endPoint:r.endPoint},T,[this.meshSize,this.meshSize]).div(255):y=u0({startPoint:r.startPoint,endPoint:r.endPoint},T,[this.boxSize,this.boxSize]).div(255)}else{c=Z0;let R=e.clone();t.face.mesh.enabled?y=u0({startPoint:r.startPoint,endPoint:r.endPoint},R,[this.meshSize,this.meshSize]).div(255):y=u0({startPoint:r.startPoint,endPoint:r.endPoint},R,[this.boxSize,this.boxSize]).div(255)}if(!t.face.mesh.enabled)return{mesh:[],box:r,faceConfidence:null,boxConfidence:r.confidence,confidence:r.confidence,image:y};let[,l,f]=this.meshDetector.execute(y),h=l.dataSync()[0];if(h<t.face.detector.minConfidence)return this.storedBoxes[a].confidence=h,null;let d=s.reshape(f,[-1,3]).arraySync();if(t.face.iris.enabled){let{box:R,boxSize:W,crop:M}=this.getEyeBox(d,y,p0.leftBounds[0],p0.leftBounds[1],!0),{box:p,boxSize:T,crop:P}=this.getEyeBox(d,y,p0.rightBounds[0],p0.rightBounds[1]),k=this.irisModel.predict(s.concat([M,P])).dataSync(),Z=k.slice(0,b0.numCoordinates*3),{rawCoords:N,iris:O}=this.getEyeCoords(Z,R,W,!0),z=k.slice(b0.numCoordinates*3),{rawCoords:F,iris:s0}=this.getEyeCoords(z,p,T),m0=this.getLeftToRightEyeDepthDifference(d);Math.abs(m0)<30?(F0(d,N,"left",null),F0(d,F,"right",null)):m0<1?F0(d,N,"left",["EyeUpper0","EyeLower0"]):F0(d,F,"right",["EyeUpper0","EyeLower0"]);let v0=this.getAdjustedIrisCoords(d,O,"left"),i5=this.getAdjustedIrisCoords(d,s0,"right");d=d.concat(v0).concat(i5)}let m=this.transformRawCoords(d,r,i,c),v=r.confidence;if(r=L0(a5(m),1.5),r.confidence=v,t.face.detector.rotation&&t.face.mesh.enabled&&t.face.description.enabled&&s.ENV.flags.IS_BROWSER){let[R,W]=r.landmarks.length>=X0.count?X0.symmetryLine:zA.symmetryLine;i=x5(r.landmarks[R],r.landmarks[W]);let M=h0({startPoint:r.startPoint,endPoint:r.endPoint}),p=[M[0]/e.shape[2],M[1]/e.shape[1]],T=s.image.rotateWithOffset(e.toFloat(),i,0,p);c=V0(-i,M),y=u0({startPoint:r.startPoint,endPoint:r.endPoint},T,[this.meshSize,this.meshSize]).div(255)}let w={mesh:m,box:r,faceConfidence:h,boxConfidence:r.confidence,image:y};return this.storedBoxes[a]={...H0(r),confidence:r.confidence,faceConfidence:h},w}));return t.face.mesh.enabled&&(this.storedBoxes=this.storedBoxes.filter(r=>r.confidence>t.face.detector.minConfidence)),this.detectedFaces=x.length,x}};var V=[null,null,null],f5;async function vA(A,e){let t=await f5.predict(A,e),o=[],n=0;for(let x of t||[]){if(!x||x.isDisposedInternal)continue;let r=x.mesh.map(c=>[c[0]/(A.shape[2]||0),c[1]/(A.shape[1]||0),c[2]/f5.meshSize]),a={};if(x.mesh&&x.mesh.length>0)for(let c of Object.keys(t0))a[c]=t0[c].map(l=>x.mesh[l]);let y=x.box?[Math.trunc(Math.max(0,x.box.startPoint[0])),Math.trunc(Math.max(0,x.box.startPoint[1])),Math.trunc(Math.min(A.shape[2]||0,x.box.endPoint[0])-Math.max(0,x.box.startPoint[0])),Math.trunc(Math.min(A.shape[1]||0,x.box.endPoint[1])-Math.max(0,x.box.startPoint[1]))]:[0,0,0,0],i=x.box?[x.box.startPoint[0]/(A.shape[2]||0),x.box.startPoint[1]/(A.shape[1]||0),(x.box.endPoint[0]-x.box.startPoint[0])/(A.shape[2]||0),(x.box.endPoint[1]-x.box.startPoint[1])/(A.shape[1]||0)]:[0,0,0,0];o.push({id:n++,score:Math.round(100*x.faceConfidence||100*x.boxConfidence||0)/100,boxScore:Math.round(100*x.boxConfidence)/100,faceScore:Math.round(100*x.faceConfidence)/100,box:y,boxRaw:i,mesh:x.mesh,meshRaw:r,annotations:a,image:x.image,tensor:x.image}),x.coords&&x.coords.dispose()}return o}async function m5(A){return!V[0]&&A.face.enabled||!V[1]&&A.face.mesh.enabled||!V[2]&&A.face.iris.enabled?(V=await Promise.all([!V[0]&&A.face.enabled?PA(A):null,!V[1]&&A.face.mesh.enabled?s.loadGraphModel(L(A.modelBasePath,A.face.mesh.modelPath),{fromTFHub:A.face.mesh.modelPath.includes("tfhub.dev")}):null,!V[2]&&A.face.iris.enabled?s.loadGraphModel(L(A.modelBasePath,A.face.iris.modelPath),{fromTFHub:A.face.iris.modelPath.includes("tfhub.dev")}):null]),A.face.mesh.enabled&&(!V[1]||!V[1].modelUrl?g("load model failed:",A.face.mesh.modelPath):A.debug&&g("load model:",V[1].modelUrl)),A.face.iris.enabled&&(!V[2]||!V[2].modelUrl?g("load model failed:",A.face.iris.modelPath):A.debug&&g("load model:",V[2].modelUrl))):A.debug&&(V[0]&&g("cached model:",V[0].model.modelUrl),V[1]&&g("cached model:",V[1].modelUrl),V[2]&&g("cached model:",V[2].modelUrl)),f5=new d5(V[0],V[1],V[2]),V}var EA=l0,RA=R0;var ke=["angry","disgust","fear","happy","sad","surprise","neutral"],$,C0=[],jA=0,h5=Number.MAX_SAFE_INTEGER,u5=[.2989,.587,.114];async function p5(A){return $?A.debug&&g("cached model:",$.modelUrl):($=await s.loadGraphModel(L(A.modelBasePath,A.face.emotion.modelPath)),!$||!$.modelUrl?g("load model failed:",A.face.emotion.modelPath):A.debug&&g("load model:",$.modelUrl)),$}async function b5(A,e,t,o){return $?h5<e.face.emotion.skipFrames&&e.skipFrame&&jA===o&&C0[t]&&C0[t].length>0?(h5++,C0[t]):(h5=0,new Promise(async n=>{let x=s.image.resizeBilinear(A,[$.inputs[0].shape[2],$.inputs[0].shape[1]],!1),[r,a,y]=s.split(x,3,3);x.dispose();let i=s.mul(r,u5[0]),c=s.mul(a,u5[1]),l=s.mul(y,u5[2]);r.dispose(),a.dispose(),y.dispose();let f=s.addN([i,c,l]);i.dispose(),c.dispose(),l.dispose();let h=s.tidy(()=>f.sub(.5).mul(2));f.dispose();let E=[];if(e.face.emotion.enabled){let d=await $.predict(h),m=d.dataSync();s.dispose(d);for(let v=0;v<m.length;v++)m[v]>e.face.emotion.minConfidence&&E.push({score:Math.min(.99,Math.trunc(100*m[v])/100),emotion:ke[v]});E.sort((v,w)=>w.score-v.score)}h.dispose(),C0[t]=E,jA=o,n(E)})):null}var A0,q0=[],wA=0,g5=Number.MAX_SAFE_INTEGER;async function M5(A){let e=L(A.modelBasePath,A.face.description.modelPath);return A0?A.debug&&g("cached model:",e):(A0=await s.loadGraphModel(e),A0?A.debug&&g("load model:",e):g("load model failed:",A.face.description.modelPath)),A0}function T5(A,e,t=2){if(!A||!e||(A==null?void 0:A.length)===0||(e==null?void 0:e.length)===0||(A==null?void 0:A.length)!==(e==null?void 0:e.length))return 0;let o=5*A.map((x,r)=>Math.abs(A[r]-e[r])**t).reduce((x,r)=>x+r,0)**(1/t);return Math.max(0,100-o)/100}function SA(A,e,t=0){let o={similarity:0,name:"",source:"",embedding:[]};if(!A||!e||!Array.isArray(A)||!Array.isArray(e))return o;for(let n of e)if(n.embedding&&n.name){let x=T5(A,n.embedding);x>t&&x>o.similarity&&(o={...n,similarity:x})}return o}function P5(A){return s.tidy(()=>{let t=A.image||A.tensor||A;if(!(t instanceof s.Tensor))return null;let o=[[.05,.15,.85,.85]];return A0.inputs[0].shape?(t.shape.length===3?s.image.cropAndResize(s.expandDims(t,0),o,[0],[A0.inputs[0].shape[2],A0.inputs[0].shape[1]]):s.image.cropAndResize(t,o,[0],[A0.inputs[0].shape[2],A0.inputs[0].shape[1]])).mul(255):null})}async function z5(A,e,t,o){var n,x;return A0?g5<e.face.description.skipFrames&&e.skipFrame&&wA===o&&((n=q0[t])==null?void 0:n.age)&&((x=q0[t])==null?void 0:x.age)>0?(g5++,q0[t]):(g5=0,new Promise(async r=>{let a=P5(A),y,i={age:0,gender:"unknown",genderScore:0,descriptor:[]};e.face.description.enabled&&(y=await A0.predict(a)),s.dispose(a),y&&(s.tidy(()=>{let c=y.find(d=>d.shape[1]===1).dataSync(),l=Math.trunc(200*Math.abs(c[0]-.5))/100;l>e.face.description.minConfidence&&(i.gender=c[0]<=.5?"female":"male",i.genderScore=Math.min(.99,l));let f=y.find(d=>d.shape[1]===100).argMax(1).dataSync()[0],h=y.find(d=>d.shape[1]===100).dataSync();i.age=Math.round(h[f-1]>h[f+1]?10*f-100*h[f-1]:10*f+100*h[f+1])/10;let E=y.find(d=>d.shape[1]===1024);i.descriptor=[...E.dataSync()]}),y.forEach(c=>s.dispose(c))),q0[t]=i,wA=o,r(i)})):null}var Ie=A=>{let e=(l,f)=>Math.atan2(l[1]-f[1],l[0]-f[0]);if(!A.annotations.rightEyeIris||!A.annotations.leftEyeIris)return{bearing:0,strength:0};let t=[0,-.1],o=1,n=A.mesh[33][2]>A.mesh[263][2],x=n?A.mesh[473]:A.mesh[468],r=n?[(A.mesh[133][0]+A.mesh[33][0])/2,(A.mesh[133][1]+A.mesh[33][1])/2]:[(A.mesh[263][0]+A.mesh[362][0])/2,(A.mesh[263][1]+A.mesh[362][1])/2],a=n?[A.mesh[133][0]-A.mesh[33][0],A.mesh[23][1]-A.mesh[27][1]]:[A.mesh[263][0]-A.mesh[362][0],A.mesh[253][1]-A.mesh[257][1]],y=[(r[0]-x[0])/a[0]-t[0],o*(x[1]-r[1])/a[1]-t[1]],i=Math.sqrt(y[0]**2+y[1]**2);return i=Math.min(i,A.boxRaw[2]/2,A.boxRaw[3]/2),{bearing:(e([0,0],y)+Math.PI/2)%Math.PI,strength:i}},Ne=(A,e)=>{let t=m=>{let v=Math.sqrt(m[0]*m[0]+m[1]*m[1]+m[2]*m[2]);return m[0]/=v,m[1]/=v,m[2]/=v,m},o=(m,v)=>{let w=m[0]-v[0],R=m[1]-v[1],W=m[2]-v[2];return[w,R,W]},n=(m,v)=>{let w=m[1]*v[2]-m[2]*v[1],R=m[2]*v[0]-m[0]*v[2],W=m[0]*v[1]-m[1]*v[0];return[w,R,W]},x=m=>{let[v,w,R,W,M,p,T,P,b]=m,k,Z,N;return W<1?W>-1?(N=Math.asin(W),Z=Math.atan2(-T,v),k=Math.atan2(-p,M)):(N=-Math.PI/2,Z=-Math.atan2(P,b),k=0):(N=Math.PI/2,Z=Math.atan2(P,b),k=0),{pitch:2*-k,yaw:2*-Z,roll:2*-N}},r=m=>{let v=(R,W,M,p)=>Math.atan2(p-W,M-R);return{pitch:v(m[10][1],m[10][2],m[152][1],m[152][2]),yaw:v(m[33][0],m[33][2],m[263][0],m[263][2]),roll:v(m[33][0],m[33][1],m[263][0],m[263][1])}},a=A.meshRaw;if(!a||a.length<300)return{angle:{pitch:0,yaw:0,roll:0},matrix:[1,0,0,0,1,0,0,0,1],gaze:{bearing:0,strength:0}};let y=Math.max(A.boxRaw[2]*e[0],A.boxRaw[3]*e[1])/1.5,i=[a[10],a[152],a[234],a[454]].map(m=>[m[0]*e[0]/y,m[1]*e[1]/y,m[2]]),c=t(o(i[1],i[0])),l=t(o(i[3],i[2])),f=t(n(l,c));l=n(c,f);let h=[l[0],l[1],l[2],c[0],c[1],c[2],f[0],f[1],f[2]],E=x(h),d=a.length===478?Ie(A):{bearing:0,strength:0};return{angle:E,matrix:h,gaze:d}},v5=async(A,e)=>{var c,l,f,h,E,d;let t,o,n,x,r,a,y=[];A.state="run:face",t=I();let i=await vA(e,A.config);if(A.performance.face=Math.trunc(I()-t),!e.shape||e.shape.length!==4)return[];if(!i)return[];for(let m=0;m<i.length;m++){if(A.analyze("Get Face"),!i[m].image||i[m].image.isDisposedInternal){g("Face object is disposed:",i[m].image);continue}let v=Ne(i[m],[e.shape[2],e.shape[1]]);A.analyze("Start Emotion:"),A.config.async?x=A.config.face.emotion.enabled?b5(i[m].image||s.tensor([]),A.config,m,i.length):{}:(A.state="run:emotion",t=I(),x=A.config.face.emotion.enabled?await b5(i[m].image||s.tensor([]),A.config,m,i.length):{},A.performance.emotion=Math.trunc(I()-t)),A.analyze("End Emotion:"),A.analyze("Start Description:"),A.config.async?a=A.config.face.description.enabled?z5(i[m].image||s.tensor([]),A.config,m,i.length):[]:(A.state="run:description",t=I(),a=A.config.face.description.enabled?await z5(i[m].image||s.tensor([]),A.config,m,i.length):[],A.performance.embedding=Math.trunc(I()-t)),A.analyze("End Description:"),A.config.async&&([o,n,x,r,a]=await Promise.all([o,n,x,r,a])),A.analyze("Finish Face:"),!A.config.face.iris.enabled&&((l=(c=i[m])==null?void 0:c.annotations)==null?void 0:l.leftEyeIris)&&((h=(f=i[m])==null?void 0:f.annotations)==null?void 0:h.rightEyeIris)&&(delete i[m].annotations.leftEyeIris,delete i[m].annotations.rightEyeIris);let w=((E=i[m].annotations)==null?void 0:E.leftEyeIris)&&((d=i[m].annotations)==null?void 0:d.rightEyeIris)?Math.max(Math.abs(i[m].annotations.leftEyeIris[3][0]-i[m].annotations.leftEyeIris[1][0]),Math.abs(i[m].annotations.rightEyeIris[4][1]-i[m].annotations.rightEyeIris[2][1]))/e.shape[2]:0;y.push({...i[m],id:m,age:a.age,gender:a.gender,genderScore:a.genderScore,embedding:a.descriptor,emotion:x,iris:w!==0?Math.trunc(500/w/11.7)/100:0,rotation:v,tensor:A.config.face.detector.return?s.squeeze(i[m].image):null}),s.dispose(i[m].image),i[m].image&&delete i[m].image,A.analyze("End Face")}return A.analyze("End FaceMesh:"),A.config.async&&(A.performance.face&&delete A.performance.face,A.performance.age&&delete A.performance.age,A.performance.gender&&delete A.performance.gender,A.performance.emotion&&delete A.performance.emotion),y};var j0=["nose","leftEye","rightEye","leftEar","rightEar","leftShoulder","rightShoulder","leftElbow","rightElbow","leftWrist","rightWrist","leftHip","rightHip","leftKnee","rightKnee","leftAnkle","rightAnkle"],WA=j0.length,w0=j0.reduce((A,e,t)=>(A[e]=t,A),{}),Oe=[["leftHip","leftShoulder"],["leftElbow","leftShoulder"],["leftElbow","leftWrist"],["leftHip","leftKnee"],["leftKnee","leftAnkle"],["rightHip","rightShoulder"],["rightElbow","rightShoulder"],["rightElbow","rightWrist"],["rightHip","rightKnee"],["rightKnee","rightAnkle"],["leftShoulder","rightShoulder"],["leftHip","rightHip"]],Le=Oe.map(([A,e])=>[w0[A],w0[e]]),kA=[["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 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x=s.tidy(()=>s.sigmoid(s.slice(n,[0,0],[-1,1])).squeeze()),r=x.dataSync(),a=s.slice(n,[0,1],[-1,4]),y=this.normalizeBoxes(a);a.dispose();let i=await s.image.nonMaxSuppressionAsync(y,r,t.hand.maxDetected,t.hand.iouThreshold,t.hand.minConfidence),c=i.arraySync();x.dispose(),i.dispose();let l=[];for(let f of c)if(r[f]>=t.hand.minConfidence){let h=s.slice(y,[f,0],[1,-1]),E=s.slice(n,[f,5],[1,14]),d=s.tidy(()=>this.normalizeLandmarks(E,f).reshape([-1,2]));E.dispose(),l.push({box:h,palmLandmarks:d,confidence:r[f]})}return n.dispose(),y.dispose(),l}async estimateHandBounds(e,t){let o=e.shape[1],n=e.shape[2],x=s.tidy(()=>e.resizeBilinear([this.inputSize,this.inputSize]).div(127.5).sub(1)),r=await this.getBoxes(x,t);x.dispose();let a=[];if(!r||r.length===0)return a;for(let y of r){let i=y.box.dataSync(),c=i.slice(0,2),l=i.slice(2,4),f=y.palmLandmarks.arraySync();y.box.dispose(),y.palmLandmarks.dispose(),a.push(XA({startPoint:c,endPoint:l,palmLandmarks:f,confidence:y.confidence},[n/this.inputSize,o/this.inputSize]))}return a}};function qe(A){return A-2*Math.PI*Math.floor((A+Math.PI)/(2*Math.PI))}function CA(A,e){let t=Math.PI/2-Math.atan2(-(e[1]-A[1]),e[0]-A[0]);return qe(t)}var qA=(A,e)=>[[1,0,A],[0,1,e],[0,0,1]];function i0(A,e){let t=0;for(let o=0;o<A.length;o++)t+=A[o]*e[o];return t}function Be(A,e){let t=[];for(let o=0;o<A.length;o++)t.push(A[o][e]);return t}function BA(A,e){let t=[],o=A.length;for(let n=0;n<o;n++){t.push([]);for(let x=0;x<o;x++)t[n].push(i0(A[n],Be(e,x)))}return t}function N5(A,e){let t=Math.cos(A),o=Math.sin(A),n=[[t,-o,0],[o,t,0],[0,0,1]],x=qA(e[0],e[1]),r=BA(x,n),a=qA(-e[0],-e[1]);return BA(r,a)}function UA(A){let e=[[A[0][0],A[1][0]],[A[0][1],A[1][1]]],t=[A[0][2],A[1][2]],o=[-i0(e[0],t),-i0(e[1],t)];return[e[0].concat(o[0]),e[1].concat(o[1]),[0,0,1]]}function O5(A,e){return[i0(A,e[0]),i0(A,e[1])]}var Ue=5,JA=1.65,YA=[0,5,9,13,17,1,2],Je=0,Ye=2,L5=class{constructor(e,t){var o;this.handDetector=e,this.handPoseModel=t,this.inputSize=(o=this.handPoseModel)==null?void 0:o.inputs[0].shape[2],this.storedBoxes=[],this.skipped=0,this.detectedHands=0}calculateLandmarksBoundingBox(e){let t=e.map(r=>r[0]),o=e.map(r=>r[1]),n=[Math.min(...t),Math.min(...o)],x=[Math.max(...t),Math.max(...o)];return{startPoint:n,endPoint:x}}getBoxForPalmLandmarks(e,t){let o=e.map(x=>O5([...x,1],t)),n=this.calculateLandmarksBoundingBox(o);return J0(Y0(n),Ue)}getBoxForHandLandmarks(e){let t=this.calculateLandmarksBoundingBox(e),o=J0(Y0(t),JA);o.palmLandmarks=[];for(let n=0;n<YA.length;n++)o.palmLandmarks.push(e[YA[n]].slice(0,2));return o}transformRawCoords(e,t,o,n){let x=U0(t),r=[x[0]/this.inputSize,x[1]/this.inputSize,(x[0]+x[1])/this.inputSize/2],a=e.map(h=>[r[0]*(h[0]-this.inputSize/2),r[1]*(h[1]-this.inputSize/2),r[2]*h[2]]),y=N5(o,[0,0]),i=a.map(h=>[...O5(h,y),h[2]]),c=UA(n),l=[...S0(t),1],f=[i0(l,c[0]),i0(l,c[1])];return i.map(h=>[Math.trunc(h[0]+f[0]),Math.trunc(h[1]+f[1]),Math.trunc(h[2])])}async estimateHands(e,t){let o=!1,n;(this.skipped===0||this.skipped>t.hand.skipFrames||!t.hand.landmarks||!t.skipFrame)&&(n=await this.handDetector.estimateHandBounds(e,t),this.skipped=0),t.skipFrame&&this.skipped++,n&&n.length>0&&(n.length!==this.detectedHands&&this.detectedHands!==t.hand.maxDetected||!t.hand.landmarks)&&(this.detectedHands=0,this.storedBoxes=[...n],this.storedBoxes.length>0&&(o=!0));let x=[];for(let r=0;r<this.storedBoxes.length;r++){let a=this.storedBoxes[r];if(!!a)if(t.hand.landmarks){let y=t.hand.rotation?CA(a.palmLandmarks[Je],a.palmLandmarks[Ye]):0,i=S0(a),c=[i[0]/e.shape[2],i[1]/e.shape[1]],l=t.hand.rotation&&s.ENV.flags.IS_BROWSER?s.image.rotateWithOffset(e,y,0,c):e.clone(),f=N5(-y,i),h=o?this.getBoxForPalmLandmarks(a.palmLandmarks,f):a,E=VA(h,l,[this.inputSize,this.inputSize]),d=E.div(255);E.dispose(),l.dispose();let[m,v]=await this.handPoseModel.predict(d);d.dispose();let w=m.dataSync()[0];if(m.dispose(),w>=t.hand.minConfidence){let R=s.reshape(v,[-1,3]),W=R.arraySync();v.dispose(),R.dispose();let M=this.transformRawCoords(W,h,y,f),p=this.getBoxForHandLandmarks(M);this.storedBoxes[r]={...p,confidence:w};let T={landmarks:M,confidence:w,box:{topLeft:p.startPoint,bottomRight:p.endPoint}};x.push(T)}else this.storedBoxes[r]=null;v.dispose()}else{let y=J0(Y0(a),JA),i={confidence:a.confidence,box:{topLeft:y.startPoint,bottomRight:y.endPoint}};x.push(i)}}return this.storedBoxes=this.storedBoxes.filter(r=>r!==null),this.detectedHands=x.length,x}};var GA={thumb:[1,2,3,4],indexFinger:[5,6,7,8],middleFinger:[9,10,11,12],ringFinger:[13,14,15,16],pinky:[17,18,19,20],palmBase:[0]},a0,x0,DA;async function H5(A,e){let t=await DA.estimateHands(A,e);if(!t)return[];let o=[];for(let n=0;n<t.length;n++){let x={};if(t[n].landmarks)for(let i of Object.keys(GA))x[i]=GA[i].map(c=>t[n].landmarks[c]);let r=t[n].landmarks,a=[Number.MAX_SAFE_INTEGER,Number.MAX_SAFE_INTEGER,0,0],y=[0,0,0,0];if(r&&r.length>0){for(let i of r)i[0]<a[0]&&(a[0]=i[0]),i[1]<a[1]&&(a[1]=i[1]),i[0]>a[2]&&(a[2]=i[0]),i[1]>a[3]&&(a[3]=i[1]);a[2]-=a[0],a[3]-=a[1],y=[a[0]/(A.shape[2]||0),a[1]/(A.shape[1]||0),a[2]/(A.shape[2]||0),a[3]/(A.shape[1]||0)]}else a=t[n].box?[Math.trunc(Math.max(0,t[n].box.topLeft[0])),Math.trunc(Math.max(0,t[n].box.topLeft[1])),Math.trunc(Math.min(A.shape[2]||0,t[n].box.bottomRight[0])-Math.max(0,t[n].box.topLeft[0])),Math.trunc(Math.min(A.shape[1]||0,t[n].box.bottomRight[1])-Math.max(0,t[n].box.topLeft[1]))]:[0,0,0,0],y=[t[n].box.topLeft[0]/(A.shape[2]||0),t[n].box.topLeft[1]/(A.shape[1]||0),(t[n].box.bottomRight[0]-t[n].box.topLeft[0])/(A.shape[2]||0),(t[n].box.bottomRight[1]-t[n].box.topLeft[1])/(A.shape[1]||0)];o.push({id:n,score:Math.round(100*t[n].confidence)/100,box:a,boxRaw:y,keypoints:r,annotations:x})}return o}async function Z5(A){!a0||!x0?([a0,x0]=await Promise.all([A.hand.enabled?s.loadGraphModel(L(A.modelBasePath,A.hand.detector.modelPath),{fromTFHub:A.hand.detector.modelPath.includes("tfhub.dev")}):null,A.hand.landmarks?s.loadGraphModel(L(A.modelBasePath,A.hand.skeleton.modelPath),{fromTFHub:A.hand.skeleton.modelPath.includes("tfhub.dev")}):null]),A.hand.enabled&&(!a0||!a0.modelUrl?g("load model failed:",A.hand.detector.modelPath):A.debug&&g("load model:",a0.modelUrl),!x0||!x0.modelUrl?g("load model failed:",A.hand.skeleton.modelPath):A.debug&&g("load model:",x0.modelUrl))):(A.debug&&g("cached model:",a0.modelUrl),A.debug&&g("cached model:",x0.modelUrl));let e=new I5(a0);return DA=new L5(e,x0),[a0,x0]}var KA=["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"],QA=["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 q;async function G0(A){return q?A.debug&&g("cached model:",q.modelUrl):(q=await s.loadGraphModel(L(A.modelBasePath,A.body.modelPath)),q.width=parseInt(q.signature.inputs["input_1:0"].tensorShape.dim[2].size),q.height=parseInt(q.signature.inputs["input_1:0"].tensorShape.dim[1].size),!q||!q.modelUrl?g("load model failed:",A.body.modelPath):A.debug&&g("load model:",q.modelUrl)),q}async function V5(A,e){var d;if(!q)return[];if(!e.body.enabled)return[];let t={width:A.shape[2]||0,height:A.shape[1]||0},o=s.image.resizeBilinear(A,[q.width,q.height],!1),n=s.div(o,[255]);o.dispose();let x=await q.predict(n),r=((d=x.find(m=>m.size===195||m.size===155))==null?void 0:d.dataSync())||[];x.forEach(m=>m.dispose()),n.dispose();let a=[],y=(r==null?void 0:r.length)===195?KA:QA,i=5;for(let m=0;m<r.length/i;m++)a.push({id:m,part:y[m],position:[Math.trunc(t.width*r[i*m+0]/255),Math.trunc(t.height*r[i*m+1]/255),Math.trunc(r[i*m+2])+0],positionRaw:[r[i*m+0]/255,r[i*m+1]/255,r[i*m+2]+0],score:(100-Math.trunc(100/(1+Math.exp(r[i*m+3]))))/100,presence:(100-Math.trunc(100/(1+Math.exp(r[i*m+4]))))/100});let c=a.map(m=>m.position[0]),l=a.map(m=>m.position[1]),f=[Math.min(...c),Math.min(...l),Math.max(...c)-Math.min(...c),Math.max(...l)-Math.min(...c)],h=[0,0,0,0],E=a.reduce((m,v)=>v.score>m?v.score:m,0);return[{id:0,score:E,box:f,boxRaw:h,keypoints:a}]}var B,n0=[],X5=[0,0,0,0],F5=[0,0,0,0],D0=0,C5=Number.MAX_SAFE_INTEGER,Ge=["head","neck","rightShoulder","rightElbow","rightWrist","chest","leftShoulder","leftElbow","leftWrist","pelvis","rightHip","rightKnee","rightAnkle","leftHip","leftKnee","leftAnkle"];async function _A(A){return B?A.debug&&g("cached model:",B.modelUrl):(B=await s.loadGraphModel(L(A.modelBasePath,A.body.modelPath)),!B||!B.modelUrl?g("load model failed:",A.body.modelPath):A.debug&&g("load model:",B.modelUrl)),B}function De(A,e){let[t,o]=A.shape;return s.tidy(()=>{let n=(a,y)=>s.sub(a,s.mul(s.div(a,s.scalar(y,"int32")),s.scalar(y,"int32"))),x=s.reshape(A,[o*t]),r=s.max(x,0).dataSync()[0];if(r>e){let a=s.argMax(x,0),y=n(a,t).dataSync()[0],i=s.div(a,s.scalar(t,"int32")).dataSync()[0];return[y,i,r]}return[0,0,r]})}async function q5(A,e){return C5<e.body.skipFrames&&e.skipFrame&&Object.keys(n0).length>0?(C5++,[{id:0,score:D0,box:X5,boxRaw:F5,keypoints:n0}]):(C5=0,new Promise(async t=>{let o=s.tidy(()=>{if(!B.inputs[0].shape)return null;let i=s.image.resizeBilinear(A,[B.inputs[0].shape[2],B.inputs[0].shape[1]],!1);return s.mul(i,2).sub(1)}),n;if(e.body.enabled&&(n=await B.predict(o)),o.dispose(),n){n0.length=0;let i=n.squeeze();s.dispose(n);let c=i.unstack(2);s.dispose(i);for(let l=0;l<c.length;l++){let[f,h,E]=De(c[l],e.body.minConfidence);D0>e.body.minConfidence&&n0.push({score:Math.round(100*E)/100,part:Ge[l],positionRaw:[f/B.inputs[0].shape[2],h/B.inputs[0].shape[1]],position:[Math.round(A.shape[2]*f/B.inputs[0].shape[2]),Math.round(A.shape[1]*h/B.inputs[0].shape[1])]})}c.forEach(l=>s.dispose(l))}D0=n0.reduce((i,c)=>c.score>i?c.score:i,0);let x=n0.map(i=>i.position[0]),r=n0.map(i=>i.position[1]);X5=[Math.min(...x),Math.min(...r),Math.max(...x)-Math.min(...x),Math.max(...r)-Math.min(...r)];let a=n0.map(i=>i.positionRaw[0]),y=n0.map(i=>i.positionRaw[1]);F5=[Math.min(...a),Math.min(...y),Math.max(...a)-Math.min(...a),Math.max(...y)-Math.min(...y)],t([{id:0,score:D0,box:X5,boxRaw:F5,keypoints:n0}])}))}var e0,o0=[],B5=[0,0,0,0],U5=[0,0,0,0],M0=0,J5=Number.MAX_SAFE_INTEGER,Ke=["nose","leftEye","rightEye","leftEar","rightEar","leftShoulder","rightShoulder","leftElbow","rightElbow","leftWrist","rightWrist","leftHip","rightHip","leftKnee","rightKnee","leftAnkle","rightAnkle"];async function Y5(A){return e0?A.debug&&g("cached model:",e0.modelUrl):(e0=await s.loadGraphModel(L(A.modelBasePath,A.body.modelPath)),!e0||!e0.modelUrl?g("load model failed:",A.body.modelPath):A.debug&&g("load model:",e0.modelUrl)),e0}async function G5(A,e){return J5<e.body.skipFrames&&e.skipFrame&&Object.keys(o0).length>0?(J5++,[{id:0,score:M0,box:B5,boxRaw:U5,keypoints:o0}]):(J5=0,new Promise(async t=>{let o=s.tidy(()=>{if(!e0.inputs[0].shape)return null;let i=s.image.resizeBilinear(A,[e0.inputs[0].shape[2],e0.inputs[0].shape[1]],!1);return s.cast(i,"int32")}),n;if(e.body.enabled&&(n=await e0.predict(o)),o.dispose(),n){o0.length=0;let i=n.arraySync();s.dispose(n);let c=i[0][0];for(let l=0;l<c.length;l++)M0=c[l][2],M0>e.body.minConfidence&&o0.push({score:Math.round(100*M0)/100,part:Ke[l],positionRaw:[c[l][1],c[l][0]],position:[Math.round((A.shape[2]||0)*c[l][1]),Math.round((A.shape[1]||0)*c[l][0])]})}M0=o0.reduce((i,c)=>c.score>i?c.score:i,0);let x=o0.map(i=>i.position[0]),r=o0.map(i=>i.position[1]);B5=[Math.min(...x),Math.min(...r),Math.max(...x)-Math.min(...x),Math.max(...r)-Math.min(...r)];let a=o0.map(i=>i.positionRaw[0]),y=o0.map(i=>i.positionRaw[1]);U5=[Math.min(...a),Math.min(...y),Math.max(...a)-Math.min(...a),Math.max(...y)-Math.min(...y)],t([{id:0,score:M0,box:B5,boxRaw:U5,keypoints:o0}])}))}var T0=[{class:1,label:"person"},{class:2,label:"bicycle"},{class:3,label:"car"},{class:4,label:"motorcycle"},{class:5,label:"airplane"},{class:6,label:"bus"},{class:7,label:"train"},{class:8,label:"truck"},{class:9,label:"boat"},{class:10,label:"traffic light"},{class:11,label:"fire hydrant"},{class:12,label:"stop sign"},{class:13,label:"parking meter"},{class:14,label:"bench"},{class:15,label:"bird"},{class:16,label:"cat"},{class:17,label:"dog"},{class:18,label:"horse"},{class:19,label:"sheep"},{class:20,label:"cow"},{class:21,label:"elephant"},{class:22,label:"bear"},{class:23,label:"zebra"},{class:24,label:"giraffe"},{class:25,label:"backpack"},{class:26,label:"umbrella"},{class:27,label:"handbag"},{class:28,label:"tie"},{class:29,label:"suitcase"},{class:30,label:"frisbee"},{class:31,label:"skis"},{class:32,label:"snowboard"},{class:33,label:"sports ball"},{class:34,label:"kite"},{class:35,label:"baseball bat"},{class:36,label:"baseball glove"},{class:37,label:"skateboard"},{class:38,label:"surfboard"},{class:39,label:"tennis racket"},{class:40,label:"bottle"},{class:41,label:"wine glass"},{class:42,label:"cup"},{class:43,label:"fork"},{class:44,label:"knife"},{class:45,label:"spoon"},{class:46,label:"bowl"},{class:47,label:"banana"},{class:48,label:"apple"},{class:49,label:"sandwich"},{class:50,label:"orange"},{class:51,label:"broccoli"},{class:52,label:"carrot"},{class:53,label:"hot dog"},{class:54,label:"pizza"},{class:55,label:"donut"},{class:56,label:"cake"},{class:57,label:"chair"},{class:58,label:"couch"},{class:59,label:"potted plant"},{class:60,label:"bed"},{class:61,label:"dining table"},{class:62,label:"toilet"},{class:63,label:"tv"},{class:64,label:"laptop"},{class:65,label:"mouse"},{class:66,label:"remote"},{class:67,label:"keyboard"},{class:68,label:"cell phone"},{class:69,label:"microwave"},{class:70,label:"oven"},{class:71,label:"toaster"},{class:72,label:"sink"},{class:73,label:"refrigerator"},{class:74,label:"book"},{class:75,label:"clock"},{class:76,label:"vase"},{class:77,label:"scissors"},{class:78,label:"teddy bear"},{class:79,label:"hair drier"},{class:80,label:"toothbrush"}];var G,D5=[],K5=Number.MAX_SAFE_INTEGER,K0=2.5;async function Q5(A){if(G)A.debug&&g("cached model:",G.modelUrl);else{G=await s.loadGraphModel(L(A.modelBasePath,A.object.modelPath));let e=Object.values(G.modelSignature.inputs);if(G.inputSize=Array.isArray(e)?parseInt(e[0].tensorShape.dim[2].size):null,!G.inputSize)throw new Error(`Human: Cannot determine model inputSize: ${A.object.modelPath}`);!G||!G.modelUrl?g("load model failed:",A.object.modelPath):A.debug&&g("load model:",G.modelUrl)}return G}async function Qe(A,e,t,o){let n=0,x=[];for(let i of[1,2,4])s.tidy(()=>{var m,v;let c=i*13,l=(m=A.find(w=>w.shape[1]===c**2&&w.shape[2]===T0.length))==null?void 0:m.squeeze(),f=(v=A.find(w=>w.shape[1]===c**2&&w.shape[2]<T0.length))==null?void 0:v.squeeze(),E=f.reshape([-1,4,f.shape[1]/4]).argMax(2).arraySync(),d=l.arraySync();for(let w=0;w<l.shape[0];w++)for(let R=0;R<l.shape[1];R++){let W=d[w][R];if(W>o.object.minConfidence&&R!==61){let 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r=0;r<e.length;r++){if(n.strokeStyle=o.color,n.fillStyle=o.color,n.lineWidth=o.lineWidth,n.font=o.font,o.drawBoxes&&e[r].box&&((x=e[r].box)==null?void 0:x.length)===4&&(W0(n,e[r].box[0],e[r].box[1],e[r].box[2],e[r].box[3],o),o.drawLabels&&(o.shadowColor&&o.shadowColor!==""&&(n.fillStyle=o.shadowColor,n.fillText(`body ${100*e[r].score}%`,e[r].box[0]+3,1+e[r].box[1]+o.lineHeight,e[r].box[2])),n.fillStyle=o.labelColor,n.fillText(`body ${100*e[r].score}%`,e[r].box[0]+2,0+e[r].box[1]+o.lineHeight,e[r].box[2]))),o.drawPoints)for(let a=0;a<e[r].keypoints.length;a++)n.fillStyle=o.useDepth&&e[r].keypoints[a].position[2]?`rgba(${127.5+2*(e[r].keypoints[a].position[2]||0)}, ${127.5-2*(e[r].keypoints[a].position[2]||0)}, 255, 0.5)`:o.color,nA(n,e[r].keypoints[a].position[0],e[r].keypoints[a].position[1],0,o);if(o.drawLabels&&(n.font=o.font,e[r].keypoints))for(let a of e[r].keypoints)n.fillStyle=o.useDepth&&a.position[2]?`rgba(${127.5+2*a.position[2]}, ${127.5-2*a.position[2]}, 255, 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r=`${Math.round(100*x.score)}% ${x.label}`;o.shadowColor&&o.shadowColor!==""&&(n.fillStyle=o.shadowColor,n.fillText(r,x.box[0]+3,1+x.box[1]+o.lineHeight,x.box[2])),n.fillStyle=o.labelColor,n.fillText(r,x.box[0]+2,0+x.box[1]+o.lineHeight,x.box[2])}n.stroke()}}}async function A2(A,e,t){let o=U(y0,t);if(!e||!A||!(A instanceof HTMLCanvasElement))return;let n=A.getContext("2d");if(!!n){n.lineJoin="round",n.font=o.font;for(let x=0;x<e.length;x++)if(o.drawBoxes){if(n.strokeStyle=o.color,n.fillStyle=o.color,W0(n,e[x].box[0],e[x].box[1],e[x].box[2],e[x].box[3],o),o.drawLabels){let r=`person #${x}`;o.shadowColor&&o.shadowColor!==""&&(n.fillStyle=o.shadowColor,n.fillText(r,e[x].box[0]+3,1+e[x].box[1]+o.lineHeight,e[x].box[2])),n.fillStyle=o.labelColor,n.fillText(r,e[x].box[0]+2,0+e[x].box[1]+o.lineHeight,e[x].box[2])}n.stroke()}}}async function e2(A,e){if(!A||!e||!(A instanceof HTMLCanvasElement)||!(e instanceof HTMLCanvasElement))return;let t=A.getContext("2d");t==null||t.drawImage(A,0,0)}async function t2(A,e,t){let o=I(),n=U(y0,t);!e||!A||A instanceof HTMLCanvasElement&&(se(A,e.face,n),re(A,e.body,n),ie(A,e.hand,n),ae(A,e.object,n),oe(A,e.gesture,n),e.performance.draw=Math.trunc(I()-o))}function xe(A,e,t,o,n){var a,y,i,c,l,f,h,E,d,m,v,w,R,W,M,p;let x=0,r=[];for(let T of A){let P={id:x++,face:T,body:null,hands:{left:null,right:null},gestures:[],box:[0,0,0,0]};for(let z of e)T.box[0]>z.box[0]&&T.box[0]<z.box[0]+z.box[2]&&T.box[1]+T.box[3]>z.box[1]&&T.box[1]+T.box[3]<z.box[1]+z.box[3]&&(P.body=z);if(P.body)for(let z of t)z.box[0]+z.box[2]>P.body.box[0]&&z.box[0]+z.box[2]<P.body.box[0]+P.body.box[2]&&z.box[1]+z.box[3]>P.body.box[1]&&z.box[1]+z.box[3]<P.body.box[1]+P.body.box[3]&&P.hands&&(P.hands.left=z),z.box[0]<P.body.box[0]+P.body.box[2]&&z.box[0]>P.body.box[0]&&z.box[1]+z.box[3]>P.body.box[1]&&z.box[1]+z.box[3]<P.body.box[1]+P.body.box[3]&&P.hands&&(P.hands.right=z);for(let z of o)z.face!==void 0&&z.face===T.id?(a=P.gestures)==null||a.push(z):z.iris!==void 0&&z.iris===T.id?(y=P.gestures)==null||y.push(z):z.body!==void 0&&z.body===((i=P.body)==null?void 0:i.id)?(c=P.gestures)==null||c.push(z):z.hand!==void 0&&z.hand===((f=(l=P.hands)==null?void 0:l.left)==null?void 0:f.id)?(h=P.gestures)==null||h.push(z):z.hand!==void 0&&z.hand===((d=(E=P.hands)==null?void 0:E.right)==null?void 0:d.id)&&((m=P.gestures)==null||m.push(z));let b=[],k=[],Z=z=>{z&&z.length===4&&(b.push(z[0],z[0]+z[2]),k.push(z[1],z[1]+z[3]))};Z((v=P.face)==null?void 0:v.box),Z((w=P.body)==null?void 0:w.box),Z((W=(R=P.hands)==null?void 0:R.left)==null?void 0:W.box),Z((p=(M=P.hands)==null?void 0:M.right)==null?void 0:p.box);let N=Math.min(...b),O=Math.min(...k);P.box=[N,O,Math.max(...b)-N,Math.max(...k)-O],n&&n.length===4&&(P.boxRaw=[P.box[0]/n[2],P.box[1]/n[1],P.box[2]/n[2],P.box[3]/n[1]]),r.push(P)}return r}var S={face:[],body:[],hand:[],gesture:[],object:[],persons:[],performance:{},timestamp:0};function ye(A){var n,x,r,a,y,i,c,l,f,h,E,d,m,v,w,R,W,M,p,T,P;let e=Date.now()-A.timestamp,t=e<1e3?8-Math.log(e):1;if(S.canvas=A.canvas,!S.body||A.body.length!==S.body.length)S.body=JSON.parse(JSON.stringify(A.body));else for(let b=0;b<A.body.length;b++){let k=A.body[b].box.map((O,z)=>((t-1)*S.body[b].box[z]+O)/t),Z=A.body[b].boxRaw.map((O,z)=>((t-1)*S.body[b].boxRaw[z]+O)/t),N=A.body[b].keypoints.map((O,z)=>({score:O.score,part:O.part,position:[S.body[b].keypoints[z]?((t-1)*S.body[b].keypoints[z].position[0]+O.position[0])/t:O.position[0],S.body[b].keypoints[z]?((t-1)*S.body[b].keypoints[z].position[1]+O.position[1])/t:O.position[1]],positionRaw:[S.body[b].keypoints[z]?((t-1)*S.body[b].keypoints[z].positionRaw[0]+O.positionRaw[0])/t:O.position[0],S.body[b].keypoints[z]?((t-1)*S.body[b].keypoints[z].positionRaw[1]+O.positionRaw[1])/t:O.position[1]]}));S.body[b]={...A.body[b],box:k,boxRaw:Z,keypoints:N}}if(!S.hand||A.hand.length!==S.hand.length)S.hand=JSON.parse(JSON.stringify(A.hand));else for(let b=0;b<A.hand.length;b++){let k=A.hand[b].box.map((F,s0)=>((t-1)*S.hand[b].box[s0]+F)/t),Z=A.hand[b].boxRaw.map((F,s0)=>((t-1)*S.hand[b].boxRaw[s0]+F)/t),N=A.hand[b].keypoints.map((F,s0)=>F.map((m0,v0)=>((t-1)*S.hand[b].keypoints[s0][v0]+m0)/t)),O=Object.keys(A.hand[b].annotations),z={};for(let F of O)z[F]=A.hand[b].annotations[F].map((s0,m0)=>s0.map((v0,i5)=>((t-1)*S.hand[b].annotations[F][m0][i5]+v0)/t));S.hand[b]={...A.hand[b],box:k,boxRaw:Z,keypoints:N,annotations:z}}if(!S.face||A.face.length!==S.face.length)S.face=JSON.parse(JSON.stringify(A.face));else for(let b=0;b<A.face.length;b++){let k=A.face[b].box.map((O,z)=>((t-1)*S.face[b].box[z]+O)/t),Z=A.face[b].boxRaw.map((O,z)=>((t-1)*S.face[b].boxRaw[z]+O)/t),N={matrix:[0,0,0,0,0,0,0,0,0],angle:{roll:0,yaw:0,pitch:0},gaze:{bearing:0,strength:0}};N.matrix=(n=A.face[b].rotation)==null?void 0:n.matrix,N.angle={roll:((t-1)*(((r=(x=S.face[b].rotation)==null?void 0:x.angle)==null?void 0:r.roll)||0)+(((y=(a=A.face[b].rotation)==null?void 0:a.angle)==null?void 0:y.roll)||0))/t,yaw:((t-1)*(((c=(i=S.face[b].rotation)==null?void 0:i.angle)==null?void 0:c.yaw)||0)+(((f=(l=A.face[b].rotation)==null?void 0:l.angle)==null?void 0:f.yaw)||0))/t,pitch:((t-1)*(((E=(h=S.face[b].rotation)==null?void 0:h.angle)==null?void 0:E.pitch)||0)+(((m=(d=A.face[b].rotation)==null?void 0:d.angle)==null?void 0:m.pitch)||0))/t},N.gaze={bearing:((t-1)*(((w=(v=S.face[b].rotation)==null?void 0:v.gaze)==null?void 0:w.bearing)||0)+(((W=(R=A.face[b].rotation)==null?void 0:R.gaze)==null?void 0:W.bearing)||0))/t,strength:((t-1)*(((p=(M=S.face[b].rotation)==null?void 0:M.gaze)==null?void 0:p.strength)||0)+(((P=(T=A.face[b].rotation)==null?void 0:T.gaze)==null?void 0:P.strength)||0))/t},S.face[b]={...A.face[b],rotation:N,box:k,boxRaw:Z}}if(!S.object||A.object.length!==S.object.length)S.object=JSON.parse(JSON.stringify(A.object));else for(let b=0;b<A.object.length;b++){let 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le(e,t,this.config)}enhance(e){return P5(e)}match(e,t,o=0){return SA(e,t,o)}async load(e){this.state="load";let t=I();e&&(this.config=U(this.config,e)),C(this,d0)&&(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 C(this,O0).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.emotion,this.models.handpose,this.models.posenet,this.models.blazepose,this.models.efficientpose,this.models.movenet,this.models.nanodet,this.models.centernet,this.models.faceres,this.models.segmentation]=await Promise.all([this.models.face||(this.config.face.enabled?m5(this.config):null),this.models.emotion||(this.config.face.enabled&&this.config.face.emotion.enabled?p5(this.config):null),this.models.handpose||(this.config.hand.enabled?Z5(this.config):null),this.models.posenet||(this.config.body.enabled&&this.config.body.modelPath.includes("posenet")?k5(this.config):null),this.models.blazepose||(this.config.body.enabled&&this.config.body.modelPath.includes("blazepose")?G0(this.config):null),this.models.efficientpose||(this.config.body.enabled&&this.config.body.modelPath.includes("efficientpose")?_A(this.config):null),this.models.movenet||(this.config.body.enabled&&this.config.body.modelPath.includes("movenet")?Y5(this.config):null),this.models.nanodet||(this.config.object.enabled&&this.config.object.modelPath.includes("nanodet")?Q5(this.config):null),this.models.centernet||(this.config.object.enabled&&this.config.object.modelPath.includes("centernet")?eA(this.config):null),this.models.faceres||(this.config.face.enabled&&this.config.face.description.enabled?M5(this.config):null),this.models.segmentation||(this.config.segmentation.enabled?$0(this.config):null)]):(this.config.face.enabled&&!this.models.face&&(this.models.face=await m5(this.config)),this.config.face.enabled&&this.config.face.emotion.enabled&&!this.models.emotion&&(this.models.emotion=await p5(this.config)),this.config.hand.enabled&&!this.models.handpose&&(this.models.handpose=await Z5(this.config)),this.config.body.enabled&&!this.models.posenet&&this.config.body.modelPath.includes("posenet")&&(this.models.posenet=await k5(this.config)),this.config.body.enabled&&!this.models.blazepose&&this.config.body.modelPath.includes("blazepose")&&(this.models.blazepose=await G0(this.config)),this.config.body.enabled&&!this.models.efficientpose&&this.config.body.modelPath.includes("efficientpose")&&(this.models.efficientpose=await G0(this.config)),this.config.body.enabled&&!this.models.movenet&&this.config.body.modelPath.includes("movenet")&&(this.models.movenet=await Y5(this.config)),this.config.object.enabled&&!this.models.nanodet&&this.config.object.modelPath.includes("nanodet")&&(this.models.nanodet=await Q5(this.config)),this.config.object.enabled&&!this.models.centernet&&this.config.object.modelPath.includes("centernet")&&(this.models.centernet=await eA(this.config)),this.config.face.enabled&&this.config.face.description.enabled&&!this.models.faceres&&(this.models.faceres=await M5(this.config)),this.config.segmentation.enabled&&!this.models.segmentation&&(this.models.segmentation=await $0(this.config))),C(this,d0)&&(this.config.debug&&g("tf engine state:",this.tf.engine().state.numBytes,"bytes",this.tf.engine().state.numTensors,"tensors"),_(this,d0,!1));let o=Math.trunc(I()-t);o>(this.performance.load||0)&&(this.performance.load=o)}async detect(e,t){return new Promise(async o=>{this.state="config";let n,x;this.config=U(this.config,t),this.state="check";let r=C(this,t5).call(this,e);r&&(g(r,e),o({error:r}));let a=I();await C(this,O0).call(this),await this.load(),n=I();let y=c0(e,this.config);if(this.performance.image=Math.trunc(I()-n),this.analyze("Get Image:"),this.config.segmentation.enabled&&y&&y.tensor&&(this.analyze("Start Segmentation:"),this.state="run:segmentation",n=I(),await iA(y),x=Math.trunc(I()-n),x>0&&(this.performance.segmentation=x),y.canvas&&(y.tensor.dispose(),y=c0(y.canvas,this.config)),this.analyze("End Segmentation:")),!y||!y.tensor){g("could not convert input to tensor"),o({error:"could not convert input to tensor"});return}n=I(),this.config.skipFrame=await C(this,n5).call(this,y.tensor),this.performance.frames||(this.performance.frames=0),this.performance.cached||(this.performance.cached=0),this.performance.frames++,this.config.skipFrame&&this.performance.cached++,this.performance.changed=Math.trunc(I()-n),this.analyze("Check Changed:");let i,c,l,f;this.config.async?(i=this.config.face.enabled?v5(this,y.tensor):[],this.performance.face&&delete this.performance.face):(this.state="run:face",n=I(),i=this.config.face.enabled?await v5(this,y.tensor):[],x=Math.trunc(I()-n),x>0&&(this.performance.face=x)),this.analyze("Start Body:"),this.config.async?(this.config.body.modelPath.includes("posenet")?c=this.config.body.enabled?W5(y.tensor,this.config):[]:this.config.body.modelPath.includes("blazepose")?c=this.config.body.enabled?V5(y.tensor,this.config):[]:this.config.body.modelPath.includes("efficientpose")?c=this.config.body.enabled?q5(y.tensor,this.config):[]:this.config.body.modelPath.includes("movenet")&&(c=this.config.body.enabled?G5(y.tensor,this.config):[]),this.performance.body&&delete this.performance.body):(this.state="run:body",n=I(),this.config.body.modelPath.includes("posenet")?c=this.config.body.enabled?await W5(y.tensor,this.config):[]:this.config.body.modelPath.includes("blazepose")?c=this.config.body.enabled?await V5(y.tensor,this.config):[]:this.config.body.modelPath.includes("efficientpose")?c=this.config.body.enabled?await q5(y.tensor,this.config):[]:this.config.body.modelPath.includes("movenet")&&(c=this.config.body.enabled?await G5(y.tensor,this.config):[]),x=Math.trunc(I()-n),x>0&&(this.performance.body=x)),this.analyze("End Body:"),this.analyze("Start Hand:"),this.config.async?(l=this.config.hand.enabled?H5(y.tensor,this.config):[],this.performance.hand&&delete this.performance.hand):(this.state="run:hand",n=I(),l=this.config.hand.enabled?await H5(y.tensor,this.config):[],x=Math.trunc(I()-n),x>0&&(this.performance.hand=x)),this.analyze("End Hand:"),this.analyze("Start Object:"),this.config.async?(this.config.object.modelPath.includes("nanodet")?f=this.config.object.enabled?_5(y.tensor,this.config):[]:this.config.object.modelPath.includes("centernet")&&(f=this.config.object.enabled?tA(y.tensor,this.config):[]),this.performance.object&&delete this.performance.object):(this.state="run:object",n=I(),this.config.object.modelPath.includes("nanodet")?f=this.config.object.enabled?await _5(y.tensor,this.config):[]:this.config.object.modelPath.includes("centernet")&&(f=this.config.object.enabled?await tA(y.tensor,this.config):[]),x=Math.trunc(I()-n),x>0&&(this.performance.object=x)),this.analyze("End Object:"),this.config.async&&([i,c,l,f]=await Promise.all([i,c,l,f]));let h=[];this.config.gesture.enabled&&(n=I(),h=[...Ae(i),...$A(c),...te(l),...ee(i)],this.config.async?this.performance.gesture&&delete this.performance.gesture:this.performance.gesture=Math.trunc(I()-n)),this.performance.total=Math.trunc(I()-a),this.state="idle",this.result={face:i,body:c,hand:l,gesture:h,object:f,performance:this.performance,canvas:y.canvas,timestamp:Date.now(),get persons(){var E;return xe(i,c,l,h,(E=y==null?void 0:y.tensor)==null?void 0:E.shape)}},s.dispose(y.tensor),o(this.result)})}async warmup(e){let t=I();if(e&&(this.config=U(this.config,e)),!this.config.warmup||this.config.warmup==="none")return{error:"null"};let o;typeof createImageBitmap=="function"?o=await C(this,o5).call(this):typeof Image!="undefined"?o=await C(this,s5).call(this):o=await C(this,r5).call(this);let n=I();return this.config.debug&&g("Warmup",this.config.warmup,Math.round(n-t),"ms",o),o}};P0=new WeakMap,I0=new WeakMap,N0=new WeakMap,d0=new WeakMap,f0=new WeakMap,z0=new WeakMap,t5=new WeakMap,O0=new WeakMap,n5=new WeakMap,o5=new WeakMap,s5=new WeakMap,r5=new WeakMap;export{o2 as Human,o2 as default};
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