human/dist/human.esm-nobundle.js

736 lines
238 KiB
JavaScript

/*
Human library
homepage: <https://github.com/vladmandic/human>
author: <https://github.com/vladmandic>'
*/
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W2=[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],k2=[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],N2=[33,133,362,263,1,78,308],ke=W2.map(A=>P0[A]),Ne=k2.map(A=>P0[A]),Ie=N2.map(A=>P0[A]);var i5=A0.leftEyeLower0,a5=A0.rightEyeLower0,m0={leftBounds:[i5[0],i5[i5.length-1]],rightBounds:[a5[0],a5[a5.length-1]]},L0={count:468,mouth:13,symmetryLine:[13,A0.midwayBetweenEyes[0]]},WA={leftEye:0,rightEye:1,nose:2,mouth:3,leftEar:4,rightEar:5,symmetryLine:[3,2]},h0={upperCenter:3,lowerCenter:4,index:71,numCoordinates:76};function Z0(A,e,t,n){for(let o=0;o<r5.length;o++){let{key:x,indices:i}=r5[o],s=A0[`${t}${x}`];if(!n||n.includes(x))for(let y=0;y<i.length;y++){let r=i[y];A[s[y]]=[e[r][0],e[r][1],(e[r][2]+A[s[y]][2])/2]}}}var x5=class{constructor(e,t,n){var o,x;this.storedBoxes=[],this.boundingBoxDetector=e,this.meshDetector=t,this.irisModel=n,this.boxSize=((o=e==null?void 0:e.model)==null?void 0:o.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=(n==null?void 0:n.inputs[0].shape[1])||0,this.irisEnlarge=2.3,this.skipped=0,this.detectedFaces=0}transformRawCoords(e,t,n,o){let x=T0({startPoint:t.startPoint,endPoint:t.endPoint}),i=e.map(l=>[x[0]/this.meshSize*(l[0]-this.meshSize/2),x[1]/this.meshSize*(l[1]-this.meshSize/2),l[2]]),s=n!==0?O0(n,[0,0]):I0,y=n!==0?i.map(l=>[...EA(l,s),l[2]]):i,r=n!==0?vA(o):I0,c=[...d0({startPoint:t.startPoint,endPoint:t.endPoint}),1];return y.map(l=>[Math.round(l[0]+o0(c,r[0])),Math.round(l[1]+o0(c,r[1])),Math.round(l[2])])}getLeftToRightEyeDepthDifference(e){let t=e[m0.leftBounds[0]][2],n=e[m0.rightBounds[0]][2];return t-n}getEyeBox(e,t,n,o,x=!1){let i=N0(k0(o5([e[n],e[o]]),this.irisEnlarge)),s=T0(i),y=a.image.cropAndResize(t,[[i.startPoint[1]/this.meshSize,i.startPoint[0]/this.meshSize,i.endPoint[1]/this.meshSize,i.endPoint[0]/this.meshSize]],[0],[this.irisSize,this.irisSize]);return x&&a.ENV.flags.IS_BROWSER&&(y=a.image.flipLeftRight(y)),{box:i,boxSize:s,crop:y}}getEyeCoords(e,t,n,o=!1){let x=[];for(let i=0;i<h0.numCoordinates;i++){let s=e[i*3],y=e[i*3+1],r=e[i*3+2];x.push([(o?1-s/this.irisSize:s/this.irisSize)*n[0]+t.startPoint[0],y/this.irisSize*n[1]+t.startPoint[1],r])}return{rawCoords:x,iris:x.slice(h0.index)}}getAdjustedIrisCoords(e,t,n){let o=e[A0[`${n}EyeUpper0`][h0.upperCenter]][2],x=e[A0[`${n}EyeLower0`][h0.lowerCenter]][2],i=(o+x)/2;return t.map((s,y)=>{let r=i;return y===2?r=o:y===4&&(r=x),[s[0],s[1],r]})}async predict(e,t){let n=!1,o;if((this.skipped===0||this.skipped>t.face.detector.skipFrames||!t.face.mesh.enabled||!t.skipFrame)&&(o=await this.boundingBoxDetector.getBoundingBoxes(e),this.skipped=0),t.skipFrame&&this.skipped++,!t.skipFrame||o&&o.boxes&&(!t.face.mesh.enabled||o.boxes.length!==this.detectedFaces&&this.detectedFaces!==t.face.detector.maxDetected)){this.storedBoxes=[],this.detectedFaces=0;for(let i of o.boxes)this.storedBoxes.push({startPoint:i.box.startPoint.dataSync(),endPoint:i.box.endPoint.dataSync(),landmarks:i.landmarks.arraySync(),confidence:i.confidence});this.storedBoxes.length>0&&(n=!0)}if(n){if(!o||!o.boxes||o.boxes.length===0)return this.storedBoxes=[],this.detectedFaces=0,null;for(let i=0;i<this.storedBoxes.length;i++){let s=MA({startPoint:this.storedBoxes[i].startPoint,endPoint:this.storedBoxes[i].endPoint},o.scaleFactor),y=k0(s),r=N0(y),c=this.storedBoxes[i].landmarks,l=this.storedBoxes[i].confidence;this.storedBoxes[i]={...r,confidence:l,landmarks:c}}}o&&o.boxes&&o.boxes.forEach(i=>{i.box.startPoint.dispose(),i.box.endPoint.dispose(),i.landmarks.dispose()});let x=a.tidy(()=>this.storedBoxes.map((i,s)=>{let y,r=0,c;if(t.face.detector.rotation&&t.face.mesh.enabled&&a.ENV.flags.IS_BROWSER){let[j,w]=i.landmarks.length>=L0.count?L0.symmetryLine:WA.symmetryLine;r=s5(i.landmarks[j],i.landmarks[w]);let g=d0({startPoint:i.startPoint,endPoint:i.endPoint}),h=[g[0]/e.shape[2],g[1]/e.shape[1]],M=a.image.rotateWithOffset(e,r,0,h);c=O0(-r,g),t.face.mesh.enabled?y=f0({startPoint:i.startPoint,endPoint:i.endPoint},M,[this.meshSize,this.meshSize]).div(255):y=f0({startPoint:i.startPoint,endPoint:i.endPoint},M,[this.boxSize,this.boxSize]).div(255)}else{c=I0;let j=e.clone();t.face.mesh.enabled?y=f0({startPoint:i.startPoint,endPoint:i.endPoint},j,[this.meshSize,this.meshSize]).div(255):y=f0({startPoint:i.startPoint,endPoint:i.endPoint},j,[this.boxSize,this.boxSize]).div(255)}if(!t.face.mesh.enabled)return{mesh:[],box:i,faceConfidence:null,boxConfidence:i.confidence,confidence:i.confidence,image:y};let[,l,f]=this.meshDetector.execute(y),u=l.dataSync()[0];if(u<t.face.detector.minConfidence)return this.storedBoxes[s].confidence=u,null;let d=a.reshape(f,[-1,3]).arraySync();if(t.face.iris.enabled){let{box:j,boxSize:w,crop:g}=this.getEyeBox(d,y,m0.leftBounds[0],m0.leftBounds[1],!0),{box:h,boxSize:M,crop:P}=this.getEyeBox(d,y,m0.rightBounds[0],m0.rightBounds[1]),N=this.irisModel.predict(a.concat([g,P])).dataSync(),Y=N.slice(0,h0.numCoordinates*3),{rawCoords:H,iris:c0}=this.getEyeCoords(Y,j,w,!0),R=N.slice(h0.numCoordinates*3),{rawCoords:n0,iris:u2}=this.getEyeCoords(R,h,M),yA=this.getLeftToRightEyeDepthDifference(d);Math.abs(yA)<30?(Z0(d,H,"left",null),Z0(d,n0,"right",null)):yA<1?Z0(d,H,"left",["EyeUpper0","EyeLower0"]):Z0(d,n0,"right",["EyeUpper0","EyeLower0"]);let p2=this.getAdjustedIrisCoords(d,c0,"left"),b2=this.getAdjustedIrisCoords(d,u2,"right");d=d.concat(p2).concat(b2)}let p=this.transformRawCoords(d,i,r,c),z=i.confidence;if(i=k0(o5(p),1.5),i.confidence=z,t.face.detector.rotation&&t.face.mesh.enabled&&t.face.description.enabled&&a.ENV.flags.IS_BROWSER){let[j,w]=i.landmarks.length>=L0.count?L0.symmetryLine:WA.symmetryLine;r=s5(i.landmarks[j],i.landmarks[w]);let g=d0({startPoint:i.startPoint,endPoint:i.endPoint}),h=[g[0]/e.shape[2],g[1]/e.shape[1]],M=a.image.rotateWithOffset(e.toFloat(),r,0,h);c=O0(-r,g),y=f0({startPoint:i.startPoint,endPoint:i.endPoint},M,[this.meshSize,this.meshSize]).div(255)}let T={mesh:p,box:i,faceConfidence:u,boxConfidence:i.confidence,image:y};return this.storedBoxes[s]={...N0(i),confidence:i.confidence,faceConfidence:u},T}));return t.face.mesh.enabled&&(this.storedBoxes=this.storedBoxes.filter(i=>i.confidence>t.face.detector.minConfidence)),this.detectedFaces=x.length,x}};var L=[null,null,null],y5;async function l5(A,e){let t=await y5.predict(A,e),n=[];for(let o of t||[]){if(!o||o.isDisposedInternal)continue;let x=o.mesh.map(r=>[r[0]/A.shape[2],r[1]/A.shape[1],r[2]/y5.meshSize]),i={};if(o.mesh&&o.mesh.length>0)for(let r of Object.keys(A0))i[r]=A0[r].map(c=>o.mesh[c]);let s=o.box?[Math.max(0,o.box.startPoint[0]),Math.max(0,o.box.startPoint[1]),Math.min(A.shape[2],o.box.endPoint[0])-Math.max(0,o.box.startPoint[0]),Math.min(A.shape[1],o.box.endPoint[1])-Math.max(0,o.box.startPoint[1])]:0,y=o.box?[o.box.startPoint[0]/A.shape[2],o.box.startPoint[1]/A.shape[1],(o.box.endPoint[0]-o.box.startPoint[0])/A.shape[2],(o.box.endPoint[1]-o.box.startPoint[1])/A.shape[1]]:[];n.push({confidence:Math.round(100*o.faceConfidence||100*o.boxConfidence||0)/100,boxConfidence:Math.round(100*o.boxConfidence)/100,faceConfidence:Math.round(100*o.faceConfidence)/100,box:s,boxRaw:y,mesh:o.mesh,meshRaw:x,annotations:i,image:o.image}),o.coords&&o.coords.dispose()}return n}async function c5(A){return!L[0]&&A.face.enabled||!L[1]&&A.face.mesh.enabled||!L[2]&&A.face.iris.enabled?(L=await Promise.all([!L[0]&&A.face.enabled?wA(A):null,!L[1]&&A.face.mesh.enabled?a.loadGraphModel(O(A.modelBasePath,A.face.mesh.modelPath),{fromTFHub:A.face.mesh.modelPath.includes("tfhub.dev")}):null,!L[2]&&A.face.iris.enabled?a.loadGraphModel(O(A.modelBasePath,A.face.iris.modelPath),{fromTFHub:A.face.iris.modelPath.includes("tfhub.dev")}):null]),A.face.mesh.enabled&&(!L[1]||!L[1].modelUrl?b("load model failed:",A.face.mesh.modelPath):A.debug&&b("load model:",L[1].modelUrl)),A.face.iris.enabled&&(!L[2]||!L[2].modelUrl?b("load model failed:",A.face.iris.modelPath):A.debug&&b("load model:",L[2].modelUrl))):A.debug&&(L[0]&&b("cached model:",L[0].model.modelUrl),L[1]&&b("cached model:",L[1].modelUrl),L[2]&&b("cached model:",L[2].modelUrl)),y5=new x5(L[0],L[1],L[2]),L}var kA=x0,NA=P0;var u5={};$(u5,{load:()=>h5,predict:()=>V0});var I2=["angry","disgust","fear","happy","sad","surprise","neutral"],D,H0=[],IA=0,f5=Number.MAX_SAFE_INTEGER,m5=[.2989,.587,.114];async function h5(A){return D?A.debug&&b("cached model:",D.modelUrl):(D=await a.loadGraphModel(O(A.modelBasePath,A.face.emotion.modelPath)),!D||!D.modelUrl?b("load model failed:",A.face.emotion.modelPath):A.debug&&b("load model:",D.modelUrl)),D}async function V0(A,e,t,n){return D?f5<e.face.emotion.skipFrames&&e.skipFrame&&IA===n&&H0[t]&&H0[t].length>0?(f5++,H0[t]):(f5=0,new Promise(async o=>{let x=a.image.resizeBilinear(A,[D.inputs[0].shape[2],D.inputs[0].shape[1]],!1),[i,s,y]=a.split(x,3,3);x.dispose();let r=a.mul(i,m5[0]),c=a.mul(s,m5[1]),l=a.mul(y,m5[2]);i.dispose(),s.dispose(),y.dispose();let f=a.addN([r,c,l]);r.dispose(),c.dispose(),l.dispose();let u=a.tidy(()=>f.sub(.5).mul(2));f.dispose();let v=[];if(e.face.emotion.enabled){let d=await D.predict(u),p=d.dataSync();a.dispose(d);for(let z=0;z<p.length;z++)p[z]>e.face.emotion.minConfidence&&v.push({score:Math.min(.99,Math.trunc(100*p[z])/100),emotion:I2[z]});v.sort((z,T)=>T.score-z.score)}u.dispose(),H0[t]=v,IA=n,o(v)})):null}var T5={};$(T5,{enhance:()=>M5,load:()=>b5,match:()=>LA,predict:()=>X0,similarity:()=>g5});var Q,F0=[],OA=0,p5=Number.MAX_SAFE_INTEGER;async function b5(A){let e=O(A.modelBasePath,A.face.description.modelPath);return Q?A.debug&&b("cached model:",e):(Q=await a.loadGraphModel(e),Q?A.debug&&b("load model:",e):b("load model failed:",A.face.description.modelPath)),Q}function g5(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 n=5*A.map((x,i)=>Math.abs(A[i]-e[i])**t).reduce((x,i)=>x+i,0)**(1/t);return Math.max(0,100-n)/100}function LA(A,e,t=0){let n={similarity:0,name:"",source:"",embedding:[]};if(!A||!e||!Array.isArray(A)||!Array.isArray(e))return n;for(let o of e)if(o.embedding&&o.name){let x=g5(A,o.embedding);x>t&&x>n.similarity&&(n={...o,similarity:x})}return n}function M5(A){return a.tidy(()=>{let t=A.image||A.tensor||A;if(!(t instanceof a.Tensor))return null;let n=[[.05,.15,.85,.85]];return Q.inputs[0].shape?(t.shape.length===3?a.image.cropAndResize(a.expandDims(t,0),n,[0],[Q.inputs[0].shape[2],Q.inputs[0].shape[1]]):a.image.cropAndResize(t,n,[0],[Q.inputs[0].shape[2],Q.inputs[0].shape[1]])).mul(255):null})}async function X0(A,e,t,n){var o,x;return Q?p5<e.face.description.skipFrames&&e.skipFrame&&OA===n&&((o=F0[t])==null?void 0:o.age)&&((x=F0[t])==null?void 0:x.age)>0?(p5++,F0):(p5=0,new Promise(async i=>{let s=M5(A),y,r={age:0,gender:"unknown",genderConfidence:0,descriptor:[]};e.face.description.enabled&&(y=await Q.predict(s)),a.dispose(s),y&&(a.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&&(r.gender=c[0]<=.5?"female":"male",r.genderConfidence=Math.min(.99,l));let f=y.find(d=>d.shape[1]===100).argMax(1).dataSync()[0],u=y.find(d=>d.shape[1]===100).dataSync();r.age=Math.round(u[f-1]>u[f+1]?10*f-100*u[f-1]:10*f+100*u[f+1])/10;let v=y.find(d=>d.shape[1]===1024);r.descriptor=[...v.dataSync()]}),y.forEach(c=>a.dispose(c))),F0[t]=r,OA=n,i(r)})):null}var O2=(A,e)=>{let t=(f,u)=>Math.atan2(f[1]-u[1],f[0]-u[0]),n=[0,-.1],o=1,x=A[33][2]>A[263][2],i=x?A[473]:A[468],s=x?[(A[133][0]+A[33][0])/2,(A[133][1]+A[33][1])/2]:[(A[263][0]+A[362][0])/2,(A[263][1]+A[362][1])/2],y=x?[A[133][0]-A[33][0],A[23][1]-A[27][1]]:[A[263][0]-A[362][0],A[253][1]-A[257][1]],r=[(s[0]-i[0])/y[0]-n[0],o*(i[1]-s[1])/y[1]-n[1]],c=Math.sqrt(r[0]**2+r[1]**2);return c=Math.min(c,e[2]/2,e[3]/2),{bearing:t([0,0],r),strength:c}},L2=(A,e)=>{let t=p=>{let z=Math.sqrt(p[0]*p[0]+p[1]*p[1]+p[2]*p[2]);return p[0]/=z,p[1]/=z,p[2]/=z,p},n=(p,z)=>{let T=p[0]-z[0],j=p[1]-z[1],w=p[2]-z[2];return[T,j,w]},o=(p,z)=>{let T=p[1]*z[2]-p[2]*z[1],j=p[2]*z[0]-p[0]*z[2],w=p[0]*z[1]-p[1]*z[0];return[T,j,w]},x=p=>{let[z,T,j,w,g,h,M,P,k]=p,N,Y,H;return w<1?w>-1?(H=Math.asin(w),Y=Math.atan2(-M,z),N=Math.atan2(-h,g)):(H=-Math.PI/2,Y=-Math.atan2(P,k),N=0):(H=Math.PI/2,Y=Math.atan2(P,k),N=0),{pitch:2*-N,yaw:2*-Y,roll:2*-H}},i=p=>{let z=(j,w,g,h)=>Math.atan2(h-w,g-j);return{pitch:z(p[10][1],p[10][2],p[152][1],p[152][2]),yaw:z(p[33][0],p[33][2],p[263][0],p[263][2]),roll:z(p[33][0],p[33][1],p[263][0],p[263][1])}},s=A.meshRaw;if(!s||s.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,r=[s[10],s[152],s[234],s[454]].map(p=>[p[0]*e[0]/y,p[1]*e[1]/y,p[2]]),c=t(n(r[1],r[0])),l=t(n(r[3],r[2])),f=t(o(l,c));l=o(c,f);let u=[l[0],l[1],l[2],c[0],c[1],c[2],f[0],f[1],f[2]],v=x(u),d=s.length===478?O2(s,A.box):{bearing:0,strength:0};return{angle:v,matrix:u,gaze:d}},P5=async(A,e)=>{var c,l,f,u,v,d,p,z;let t,n,o,x,i,s,y=[];A.state="run:face",t=W();let r=await l5(e,A.config);if(A.perf.face=Math.trunc(W()-t),!r)return[];for(let T=0;T<r.length;T++){if(A.analyze("Get Face"),!r[T].image||r[T].image.isDisposedInternal){b("Face object is disposed:",r[T].image);continue}let j=L2(r[T],[e.shape[2],e.shape[1]]);A.analyze("Start Emotion:"),A.config.async?x=A.config.face.emotion.enabled?V0(r[T].image,A.config,T,r.length):{}:(A.state="run:emotion",t=W(),x=A.config.face.emotion.enabled?await V0(r[T].image,A.config,T,r.length):{},A.perf.emotion=Math.trunc(W()-t)),A.analyze("End Emotion:"),A.analyze("Start Description:"),A.config.async?s=A.config.face.description.enabled?X0(r[T],A.config,T,r.length):[]:(A.state="run:description",t=W(),s=A.config.face.description.enabled?await X0(r[T].image,A.config,T,r.length):[],A.perf.embedding=Math.trunc(W()-t)),A.analyze("End Description:"),A.config.async&&([n,o,x,i,s]=await Promise.all([n,o,x,i,s])),A.analyze("Finish Face:"),!A.config.face.iris.enabled&&((l=(c=r[T])==null?void 0:c.annotations)==null?void 0:l.leftEyeIris)&&((u=(f=r[T])==null?void 0:f.annotations)==null?void 0:u.rightEyeIris)&&(delete r[T].annotations.leftEyeIris,delete r[T].annotations.rightEyeIris);let w=((v=r[T].annotations)==null?void 0:v.leftEyeIris)&&((d=r[T].annotations)==null?void 0:d.rightEyeIris)?Math.max(Math.abs(r[T].annotations.leftEyeIris[3][0]-r[T].annotations.leftEyeIris[1][0]),Math.abs(r[T].annotations.rightEyeIris[4][1]-r[T].annotations.rightEyeIris[2][1]))/e.shape[2]:0;y.push({id:T,...r[T],age:s.age,gender:s.gender,genderConfidence:s.genderConfidence,embedding:s.descriptor,emotion:x,iris:w!==0?Math.trunc(500/w/11.7)/100:0,rotation:j,tensor:A.config.face.detector.return?(p=r[T].image)==null?void 0:p.squeeze():null}),(z=r[T].image)==null||z.dispose(),A.analyze("End Face")}return A.analyze("End FaceMesh:"),A.config.async&&(A.perf.face&&delete A.perf.face,A.perf.age&&delete A.perf.age,A.perf.gender&&delete A.perf.gender,A.perf.emotion&&delete A.perf.emotion),y};var W5={};$(W5,{load:()=>w5,predict:()=>S5});var z0=["nose","leftEye","rightEye","leftEar","rightEar","leftShoulder","rightShoulder","leftElbow","rightElbow","leftWrist","rightWrist","leftHip","rightHip","leftKnee","rightKnee","leftAnkle","rightAnkle"],ZA=z0.length,v0=z0.reduce((A,e,t)=>(A[e]=t,A),{}),Z2=[["leftHip","leftShoulder"],["leftElbow","leftShoulder"],["leftElbow","leftWrist"],["leftHip","leftKnee"],["leftKnee","leftAnkle"],["rightHip","rightShoulder"],["rightElbow","rightShoulder"],["rightElbow","rightWrist"],["rightHip","rightKnee"],["rightKnee","rightAnkle"],["leftShoulder","rightShoulder"],["leftHip","rightHip"]],H2=Z2.map(([A,e])=>[v0[A],v0[e]]),HA=[["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=a.tidy(()=>a.sigmoid(a.slice(o,[0,0],[-1,1])).squeeze()),i=x.dataSync(),s=a.slice(o,[0,1],[-1,4]),y=this.normalizeBoxes(s);s.dispose();let r=await a.image.nonMaxSuppressionAsync(y,i,t.hand.maxDetected,t.hand.iouThreshold,t.hand.minConfidence),c=r.arraySync();x.dispose(),r.dispose();let l=[];for(let f of c)if(i[f]>=t.hand.minConfidence){let u=a.slice(y,[f,0],[1,-1]),v=a.slice(o,[f,5],[1,14]),d=a.tidy(()=>this.normalizeLandmarks(v,f).reshape([-1,2]));v.dispose(),l.push({box:u,palmLandmarks:d,confidence:i[f]})}return o.dispose(),y.dispose(),l}async estimateHandBounds(e,t){let n=e.shape[1],o=e.shape[2],x=a.tidy(()=>e.resizeBilinear([this.inputSize,this.inputSize]).div(127.5).sub(1)),i=await this.getBoxes(x,t);x.dispose();let s=[];if(!i||i.length===0)return s;for(let y of i){let r=y.box.dataSync(),c=r.slice(0,2),l=r.slice(2,4),f=y.palmLandmarks.arraySync();y.box.dispose(),y.palmLandmarks.dispose(),s.push(JA({startPoint:c,endPoint:l,palmLandmarks:f,confidence:y.confidence},[o/this.inputSize,n/this.inputSize]))}return s}};function U2(A){return A-2*Math.PI*Math.floor((A+Math.PI)/(2*Math.PI))}function GA(A,e){let t=Math.PI/2-Math.atan2(-(e[1]-A[1]),e[0]-A[0]);return U2(t)}var KA=(A,e)=>[[1,0,A],[0,1,e],[0,0,1]];function s0(A,e){let t=0;for(let n=0;n<A.length;n++)t+=A[n]*e[n];return t}function J2(A,e){let t=[];for(let n=0;n<A.length;n++)t.push(A[n][e]);return t}function DA(A,e){let t=[],n=A.length;for(let o=0;o<n;o++){t.push([]);for(let x=0;x<n;x++)t[o].push(s0(A[o],J2(e,x)))}return t}function N5(A,e){let t=Math.cos(A),n=Math.sin(A),o=[[t,-n,0],[n,t,0],[0,0,1]],x=KA(e[0],e[1]),i=DA(x,o),s=KA(-e[0],-e[1]);return DA(i,s)}function QA(A){let e=[[A[0][0],A[1][0]],[A[0][1],A[1][1]]],t=[A[0][2],A[1][2]],n=[-s0(e[0],t),-s0(e[1],t)];return[e[0].concat(n[0]),e[1].concat(n[1]),[0,0,1]]}function I5(A,e){return[s0(A,e[0]),s0(A,e[1])]}var Y2=5,_A=1.65,$A=[0,5,9,13,17,1,2],G2=0,K2=2,O5=class{constructor(e,t){var n;this.handDetector=e,this.handPoseModel=t,this.inputSize=(n=this.handPoseModel)==null?void 0:n.inputs[0].shape[2],this.storedBoxes=[],this.skipped=0,this.detectedHands=0}calculateLandmarksBoundingBox(e){let t=e.map(i=>i[0]),n=e.map(i=>i[1]),o=[Math.min(...t),Math.min(...n)],x=[Math.max(...t),Math.max(...n)];return{startPoint:o,endPoint:x}}getBoxForPalmLandmarks(e,t){let n=e.map(x=>I5([...x,1],t)),o=this.calculateLandmarksBoundingBox(n);return B0(U0(o),Y2)}getBoxForHandLandmarks(e){let t=this.calculateLandmarksBoundingBox(e),n=B0(U0(t),_A);n.palmLandmarks=[];for(let o=0;o<$A.length;o++)n.palmLandmarks.push(e[$A[o]].slice(0,2));return n}transformRawCoords(e,t,n,o){let x=C0(t),i=[x[0]/this.inputSize,x[1]/this.inputSize,(x[0]+x[1])/this.inputSize/2],s=e.map(u=>[i[0]*(u[0]-this.inputSize/2),i[1]*(u[1]-this.inputSize/2),i[2]*u[2]]),y=N5(n,[0,0]),r=s.map(u=>[...I5(u,y),u[2]]),c=QA(o),l=[...E0(t),1],f=[s0(l,c[0]),s0(l,c[1])];return r.map(u=>[u[0]+f[0],u[1]+f[1],u[2]])}async estimateHands(e,t){let n=!1,o;(this.skipped===0||this.skipped>t.hand.skipFrames||!t.hand.landmarks||!t.skipFrame)&&(o=await this.handDetector.estimateHandBounds(e,t),this.skipped=0),t.skipFrame&&this.skipped++,o&&o.length>0&&(o.length!==this.detectedHands&&this.detectedHands!==t.hand.maxDetected||!t.hand.landmarks)&&(this.detectedHands=0,this.storedBoxes=[...o],this.storedBoxes.length>0&&(n=!0));let x=[];for(let i=0;i<this.storedBoxes.length;i++){let s=this.storedBoxes[i];if(!!s)if(t.hand.landmarks){let y=t.hand.rotation?GA(s.palmLandmarks[G2],s.palmLandmarks[K2]):0,r=E0(s),c=[r[0]/e.shape[2],r[1]/e.shape[1]],l=t.hand.rotation?a.image.rotateWithOffset(e,y,0,c):e.clone(),f=N5(-y,r),u=n?this.getBoxForPalmLandmarks(s.palmLandmarks,f):s,v=UA(u,l,[this.inputSize,this.inputSize]),d=v.div(255);v.dispose(),l.dispose();let[p,z]=await this.handPoseModel.predict(d);d.dispose();let T=p.dataSync()[0];if(p.dispose(),T>=t.hand.minConfidence){let j=a.reshape(z,[-1,3]),w=j.arraySync();z.dispose(),j.dispose();let g=this.transformRawCoords(w,u,y,f),h=this.getBoxForHandLandmarks(g);this.storedBoxes[i]={...h,confidence:T};let M={landmarks:g,confidence:T,box:{topLeft:h.startPoint,bottomRight:h.endPoint}};x.push(M)}else this.storedBoxes[i]=null;z.dispose()}else{let y=B0(U0(s),_A),r={confidence:s.confidence,box:{topLeft:y.startPoint,bottomRight:y.endPoint}};x.push(r)}}return this.storedBoxes=this.storedBoxes.filter(i=>i!==null),this.detectedHands=x.length,x}};var A2={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]},r0,i0,e2;async function L5(A,e){let t=await e2.estimateHands(A,e);if(!t)return[];let n=[];for(let o=0;o<t.length;o++){let x={};if(t[o].landmarks)for(let r of Object.keys(A2))x[r]=A2[r].map(c=>t[o].landmarks[c]);let i=t[o].landmarks,s=[Number.MAX_SAFE_INTEGER,Number.MAX_SAFE_INTEGER,0,0],y=[0,0,0,0];if(i&&i.length>0){for(let r of i)r[0]<s[0]&&(s[0]=r[0]),r[1]<s[1]&&(s[1]=r[1]),r[0]>s[2]&&(s[2]=r[0]),r[1]>s[3]&&(s[3]=r[1]);s[2]-=s[0],s[3]-=s[1],y=[s[0]/A.shape[2],s[1]/A.shape[1],s[2]/A.shape[2],s[3]/A.shape[1]]}else s=t[o].box?[Math.max(0,t[o].box.topLeft[0]),Math.max(0,t[o].box.topLeft[1]),Math.min(A.shape[2],t[o].box.bottomRight[0])-Math.max(0,t[o].box.topLeft[0]),Math.min(A.shape[1],t[o].box.bottomRight[1])-Math.max(0,t[o].box.topLeft[1])]:[0,0,0,0],y=[t[o].box.topLeft[0]/A.shape[2],t[o].box.topLeft[1]/A.shape[1],(t[o].box.bottomRight[0]-t[o].box.topLeft[0])/A.shape[2],(t[o].box.bottomRight[1]-t[o].box.topLeft[1])/A.shape[1]];n.push({id:o,confidence:Math.round(100*t[o].confidence)/100,box:s,boxRaw:y,landmarks:i,annotations:x})}return n}async function Z5(A){!r0||!i0?([r0,i0]=await Promise.all([A.hand.enabled?a.loadGraphModel(O(A.modelBasePath,A.hand.detector.modelPath),{fromTFHub:A.hand.detector.modelPath.includes("tfhub.dev")}):null,A.hand.landmarks?a.loadGraphModel(O(A.modelBasePath,A.hand.skeleton.modelPath),{fromTFHub:A.hand.skeleton.modelPath.includes("tfhub.dev")}):null]),A.hand.enabled&&(!r0||!r0.modelUrl?b("load model failed:",A.hand.detector.modelPath):A.debug&&b("load model:",r0.modelUrl),!i0||!i0.modelUrl?b("load model failed:",A.hand.skeleton.modelPath):A.debug&&b("load model:",i0.modelUrl))):(A.debug&&b("cached model:",r0.modelUrl),A.debug&&b("cached model:",i0.modelUrl));let e=new k5(r0);return e2=new O5(e,i0),[r0,i0]}var F5={};$(F5,{load:()=>J0,predict:()=>V5});var t2=["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"],n2=["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 F;async function J0(A){return F?A.debug&&b("cached model:",F.modelUrl):(F=await a.loadGraphModel(O(A.modelBasePath,A.body.modelPath)),F.width=parseInt(F.signature.inputs["input_1:0"].tensorShape.dim[2].size),F.height=parseInt(F.signature.inputs["input_1:0"].tensorShape.dim[1].size),!F||!F.modelUrl?b("load model failed:",A.body.modelPath):A.debug&&b("load model:",F.modelUrl)),F}async function V5(A,e){var d;if(!F)return[];if(!e.body.enabled)return[];let t={width:A.shape[2],height:A.shape[1]},n=a.image.resizeBilinear(A,[F.width,F.height],!1),o=a.div(n,[255]);n.dispose();let x=await F.predict(o),i=((d=x.find(p=>p.size===195||p.size===155))==null?void 0:d.dataSync())||[];x.forEach(p=>p.dispose()),o.dispose();let s=[],y=(i==null?void 0:i.length)===195?t2:n2,r=5;for(let p=0;p<i.length/r;p++)s.push({id:p,part:y[p],position:{x:Math.trunc(t.width*i[r*p+0]/255),y:Math.trunc(t.height*i[r*p+1]/255),z:Math.trunc(i[r*p+2])+0},score:(100-Math.trunc(100/(1+Math.exp(i[r*p+3]))))/100,presence:(100-Math.trunc(100/(1+Math.exp(i[r*p+4]))))/100});let c=s.map(p=>p.position.x),l=s.map(p=>p.position.y),f=[Math.min(...c),Math.min(...l),Math.max(...c)-Math.min(...c),Math.max(...l)-Math.min(...c)],u=[0,0,0,0],v=s.reduce((p,z)=>z.score>p?z.score:p,0);return[{id:0,score:v,box:f,boxRaw:u,keypoints:s}]}var X,e0=[],X5=[0,0,0,0],q5=[0,0,0,0],Y0=0,C5=Number.MAX_SAFE_INTEGER,D2=["head","neck","rightShoulder","rightElbow","rightWrist","chest","leftShoulder","leftElbow","leftWrist","pelvis","rightHip","rightKnee","rightAnkle","leftHip","leftKnee","leftAnkle"];async function o2(A){return X?A.debug&&b("cached model:",X.modelUrl):(X=await a.loadGraphModel(O(A.modelBasePath,A.body.modelPath)),!X||!X.modelUrl?b("load model failed:",A.body.modelPath):A.debug&&b("load model:",X.modelUrl)),X}function Q2(A,e){let[t,n]=A.shape;return a.tidy(()=>{let o=(s,y)=>a.sub(s,a.mul(a.div(s,a.scalar(y,"int32")),a.scalar(y,"int32"))),x=a.reshape(A,[n*t]),i=a.max(x,0).dataSync()[0];if(i>e){let s=a.argMax(x,0),y=o(s,t).dataSync()[0],r=a.div(s,a.scalar(t,"int32")).dataSync()[0];return[y,r,i]}return[0,0,i]})}async function B5(A,e){return C5<e.body.skipFrames&&e.skipFrame&&Object.keys(e0).length>0?(C5++,[{id:0,score:Y0,box:X5,boxRaw:q5,keypoints:e0}]):(C5=0,new Promise(async t=>{let n=a.tidy(()=>{if(!X.inputs[0].shape)return null;let r=a.image.resizeBilinear(A,[X.inputs[0].shape[2],X.inputs[0].shape[1]],!1);return a.mul(r,2).sub(1)}),o;if(e.body.enabled&&(o=await X.predict(n)),n.dispose(),o){e0.length=0;let r=o.squeeze();a.dispose(o);let c=r.unstack(2);a.dispose(r);for(let l=0;l<c.length;l++){let[f,u,v]=Q2(c[l],e.body.minConfidence);Y0>e.body.minConfidence&&e0.push({score:Math.round(100*v)/100,part:D2[l],positionRaw:{x:f/X.inputs[0].shape[2],y:u/X.inputs[0].shape[1]},position:{x:Math.round(A.shape[2]*f/X.inputs[0].shape[2]),y:Math.round(A.shape[1]*u/X.inputs[0].shape[1])}})}c.forEach(l=>a.dispose(l))}Y0=e0.reduce((r,c)=>c.score>r?c.score:r,0);let x=e0.map(r=>r.position.x),i=e0.map(r=>r.position.y);X5=[Math.min(...x),Math.min(...i),Math.max(...x)-Math.min(...x),Math.max(...i)-Math.min(...i)];let s=e0.map(r=>r.positionRaw.x),y=e0.map(r=>r.positionRaw.y);q5=[Math.min(...s),Math.min(...y),Math.max(...s)-Math.min(...s),Math.max(...y)-Math.min(...y)],t([{id:0,score:Y0,box:X5,boxRaw:q5,keypoints:e0}])}))}var _,t0=[],U5=[0,0,0,0],J5=[0,0,0,0],p0=0,Y5=Number.MAX_SAFE_INTEGER,_2=["nose","leftEye","rightEye","leftEar","rightEar","leftShoulder","rightShoulder","leftElbow","rightElbow","leftWrist","rightWrist","leftHip","rightHip","leftKnee","rightKnee","leftAnkle","rightAnkle"];async function G5(A){return _?A.debug&&b("cached model:",_.modelUrl):(_=await a.loadGraphModel(O(A.modelBasePath,A.body.modelPath)),!_||!_.modelUrl?b("load model failed:",A.body.modelPath):A.debug&&b("load model:",_.modelUrl)),_}async function K5(A,e){return Y5<e.body.skipFrames&&e.skipFrame&&Object.keys(t0).length>0?(Y5++,[{id:0,score:p0,box:U5,boxRaw:J5,keypoints:t0}]):(Y5=0,new Promise(async t=>{let n=a.tidy(()=>{if(!_.inputs[0].shape)return null;let r=a.image.resizeBilinear(A,[_.inputs[0].shape[2],_.inputs[0].shape[1]],!1);return a.cast(r,"int32")}),o;if(e.body.enabled&&(o=await _.predict(n)),n.dispose(),o){t0.length=0;let r=o.arraySync();a.dispose(o);let c=r[0][0];for(let l=0;l<c.length;l++)p0=c[l][2],p0>e.body.minConfidence&&t0.push({score:Math.round(100*p0)/100,part:_2[l],positionRaw:{x:c[l][1],y:c[l][0]},position:{x:Math.round(A.shape[2]*c[l][1]),y:Math.round(A.shape[1]*c[l][0])}})}p0=t0.reduce((r,c)=>c.score>r?c.score:r,0);let x=t0.map(r=>r.position.x),i=t0.map(r=>r.position.y);U5=[Math.min(...x),Math.min(...i),Math.max(...x)-Math.min(...x),Math.max(...i)-Math.min(...i)];let s=t0.map(r=>r.positionRaw.x),y=t0.map(r=>r.positionRaw.y);J5=[Math.min(...s),Math.min(...y),Math.max(...s)-Math.min(...s),Math.max(...y)-Math.min(...y)],t([{id:0,score:p0,box:U5,boxRaw:J5,keypoints:t0}])}))}var AA={};$(AA,{load:()=>_5,predict:()=>$5});var b0=[{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 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drier"},{class:80,label:"toothbrush"}];var U,D5=[],Q5=Number.MAX_SAFE_INTEGER,G0=2.5;async function _5(A){if(U)A.debug&&b("cached model:",U.modelUrl);else{U=await a.loadGraphModel(O(A.modelBasePath,A.object.modelPath));let e=Object.values(U.modelSignature.inputs);if(U.inputSize=Array.isArray(e)?parseInt(e[0].tensorShape.dim[2].size):null,!U.inputSize)throw new Error(`Human: Cannot determine model inputSize: ${A.object.modelPath}`);!U||!U.modelUrl?b("load model failed:",A.object.modelPath):A.debug&&b("load model:",U.modelUrl)}return U}async function $2(A,e,t,n){let o=0,x=[];for(let r of[1,2,4])a.tidy(()=>{var p,z;let c=r*13,l=(p=A.find(T=>T.shape[1]===c**2&&T.shape[2]===b0.length))==null?void 0:p.squeeze(),f=(z=A.find(T=>T.shape[1]===c**2&&T.shape[2]<b0.length))==null?void 0:z.squeeze(),v=f.reshape([-1,4,f.shape[1]/4]).argMax(2).arraySync(),d=l.arraySync();for(let T=0;T<l.shape[0];T++)for(let j=0;j<l.shape[1];j++){let w=d[T][j];if(w>n.object.minConfidence&&j!==61){let 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function d2(A,e,t){let n=q(a0,t);if(!e||!A||!(A instanceof HTMLCanvasElement))return;let o=A.getContext("2d");if(!!o){o.lineJoin="round",o.font=n.font;for(let x of e){if(n.drawBoxes&&(o.strokeStyle=n.color,o.fillStyle=n.color,R0(o,x.box[0],x.box[1],x.box[2],x.box[3],n),n.drawLabels&&(n.shadowColor&&n.shadowColor!==""&&(o.fillStyle=n.shadowColor,o.fillText("hand",x.box[0]+3,1+x.box[1]+n.lineHeight,x.box[2])),o.fillStyle=n.labelColor,o.fillText("hand",x.box[0]+2,0+x.box[1]+n.lineHeight,x.box[2])),o.stroke()),n.drawPoints&&x.landmarks&&x.landmarks.length>0)for(let i of x.landmarks)o.fillStyle=n.useDepth?`rgba(${127.5+2*i[2]}, ${127.5-2*i[2]}, 255, 0.5)`:n.color,iA(o,i[0],i[1],0,n);if(n.drawLabels){let i=(s,y)=>{o.fillStyle=n.useDepth?`rgba(${127.5+2*s[s.length-1][2]}, ${127.5-2*s[s.length-1][2]}, 255, 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i=`${Math.round(100*x.score)}% ${x.label}`;n.shadowColor&&n.shadowColor!==""&&(o.fillStyle=n.shadowColor,o.fillText(i,x.box[0]+3,1+x.box[1]+n.lineHeight,x.box[2])),o.fillStyle=n.labelColor,o.fillText(i,x.box[0]+2,0+x.box[1]+n.lineHeight,x.box[2])}o.stroke()}}}async function te(A,e,t){let n=q(a0,t);if(!e||!A||!(A instanceof HTMLCanvasElement))return;let o=A.getContext("2d");if(!!o){o.lineJoin="round",o.font=n.font;for(let x=0;x<e.length;x++)if(n.drawBoxes){if(o.strokeStyle=n.color,o.fillStyle=n.color,R0(o,e[x].box[0],e[x].box[1],e[x].box[2],e[x].box[3],n),n.drawLabels){let i=`person #${x}`;n.shadowColor&&n.shadowColor!==""&&(o.fillStyle=n.shadowColor,o.fillText(i,e[x].box[0]+3,1+e[x].box[1]+n.lineHeight,e[x].box[2])),o.fillStyle=n.labelColor,o.fillText(i,e[x].box[0]+2,0+e[x].box[1]+n.lineHeight,e[x].box[2])}o.stroke()}}}function ne(A,e){if(!S.body||A.body.length!==S.body.length)S.body=JSON.parse(JSON.stringify(A.body));else for(let n=0;n<A.body.length;n++){let 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o=A.hand[n].box.map((r,c)=>((e.bufferedFactor-1)*S.hand[n].box[c]+r)/e.bufferedFactor),x=A.hand[n].boxRaw.map((r,c)=>((e.bufferedFactor-1)*S.hand[n].boxRaw[c]+r)/e.bufferedFactor),i=A.hand[n].landmarks.map((r,c)=>r.map((l,f)=>((e.bufferedFactor-1)*S.hand[n].landmarks[c][f]+l)/e.bufferedFactor)),s=Object.keys(A.hand[n].annotations),y={};for(let r of s)y[r]=A.hand[n].annotations[r].map((c,l)=>c.map((f,u)=>((e.bufferedFactor-1)*S.hand[n].annotations[r][l][u]+f)/e.bufferedFactor));S.hand[n]={...A.hand[n],box:o,boxRaw:x,landmarks:i,annotations:y}}if(!S.face||A.face.length!==S.face.length)S.face=JSON.parse(JSON.stringify(A.face));else for(let n=0;n<A.face.length;n++){let 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_5(this.config)),this.config.object.enabled&&!this.models.centernet&&this.config.object.modelPath.includes("centernet")&&(this.models.centernet=await nA(this.config)),this.config.face.enabled&&this.config.face.description.enabled&&!this.models.faceres&&(this.models.faceres=await b5(this.config))),V(this,y0)&&(this.config.debug&&b("tf engine state:",this.tf.engine().state.numBytes,"bytes",this.tf.engine().state.numTensors,"tensors"),K(this,y0,!1));let n=Math.trunc(W()-t);n>(this.perf.load||0)&&(this.perf.load=n)}async detect(e,t={}){return new Promise(async n=>{this.state="config";let o;this.config=q(this.config,t),this.state="check";let x=V(this,$0).call(this,e);x&&(b(x,e),n({error:x}));let i=W();await V(this,W0).call(this),await this.load(),o=W();let s=rA(e,this.config);if(!s||!s.tensor){b("could not convert input to tensor"),n({error:"could not convert input to tensor"});return}this.perf.image=Math.trunc(W()-o),this.analyze("Get Image:"),o=W(),this.config.skipFrame=await 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this.perf.body):(this.state="run:body",o=W(),this.config.body.modelPath.includes("posenet")?r=this.config.body.enabled?await S5(s.tensor,this.config):[]:this.config.body.modelPath.includes("blazepose")?r=this.config.body.enabled?await V5(s.tensor,this.config):[]:this.config.body.modelPath.includes("efficientpose")?r=this.config.body.enabled?await B5(s.tensor,this.config):[]:this.config.body.modelPath.includes("movenet")&&(r=this.config.body.enabled?await K5(s.tensor,this.config):[]),f=Math.trunc(W()-o),f>0&&(this.perf.body=f)),this.analyze("End Body:"),this.analyze("Start Hand:"),this.config.async?(c=this.config.hand.enabled?L5(s.tensor,this.config):[],this.perf.hand&&delete this.perf.hand):(this.state="run:hand",o=W(),c=this.config.hand.enabled?await L5(s.tensor,this.config):[],f=Math.trunc(W()-o),f>0&&(this.perf.hand=f)),this.analyze("End Hand:"),this.analyze("Start Object:"),this.config.async?(this.config.object.modelPath.includes("nanodet")?l=this.config.object.enabled?$5(s.tensor,this.config):[]:this.config.object.modelPath.includes("centernet")&&(l=this.config.object.enabled?oA(s.tensor,this.config):[]),this.perf.object&&delete this.perf.object):(this.state="run:object",o=W(),this.config.object.modelPath.includes("nanodet")?l=this.config.object.enabled?await $5(s.tensor,this.config):[]:this.config.object.modelPath.includes("centernet")&&(l=this.config.object.enabled?await oA(s.tensor,this.config):[]),f=Math.trunc(W()-o),f>0&&(this.perf.object=f)),this.analyze("End Object:"),this.config.async&&([y,r,c,l]=await Promise.all([y,r,c,l]));let u=[];this.config.gesture.enabled&&(o=W(),u=[...r2(y),...s2(r),...a2(c),...i2(y)],this.config.async?this.perf.gesture&&delete this.perf.gesture:this.perf.gesture=Math.trunc(W()-o)),this.perf.total=Math.trunc(W()-i),this.state="idle",this.result={face:y,body:r,hand:c,gesture:u,object:l,performance:this.perf,canvas:s.canvas,timestamp:Date.now(),get persons(){var v;return m2(y,r,c,u,(v=s==null?void 0:s.tensor)==null?void 0:v.shape)}},a.dispose(s.tensor),n(this.result)})}async warmup(e={}){let t=W();if(e&&(this.config=q(this.config,e)),!this.config.warmup||this.config.warmup==="none")return{error:"null"};let n;typeof createImageBitmap=="function"?n=await V(this,e5).call(this):typeof Image!="undefined"?n=await V(this,t5).call(this):n=await V(this,n5).call(this);let o=W();return this.config.debug&&b("Warmup",this.config.warmup,Math.round(o-t),"ms",n),n}};g0=new WeakMap,S0=new WeakMap,w0=new WeakMap,y0=new WeakMap,l0=new WeakMap,M0=new WeakMap,$0=new WeakMap,W0=new WeakMap,A5=new WeakMap,e5=new WeakMap,t5=new WeakMap,n5=new WeakMap;export{ie as Human,ie as default};
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