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

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f2=[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],m2=[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],h2=[33,133,362,263,1,78,308],le=f2.map(A=>p0[A]),ce=m2.map(A=>p0[A]),de=h2.map(A=>p0[A]);var $0=_.leftEyeLower0,A5=_.rightEyeLower0,l0={leftBounds:[$0[0],$0[$0.length-1]],rightBounds:[A5[0],A5[A5.length-1]]},W0={count:468,mouth:13,symmetryLine:[13,_.midwayBetweenEyes[0]]},mA={leftEye:0,rightEye:1,nose:2,mouth:3,leftEar:4,rightEar:5,symmetryLine:[3,2]},c0={upperCenter:3,lowerCenter:4,index:71,numCoordinates:76};function k0(A,e,t,n){for(let o=0;o<_0.length;o++){let{key:i,indices:r}=_0[o],s=_[`${t}${i}`];if(!n||n.includes(i))for(let y=0;y<r.length;y++){let x=r[y];A[s[y]]=[e[x][0],e[x][1],(e[x][2]+A[s[y]][2])/2]}}}var e5=class{constructor(e,t,n){var o,i;this.storedBoxes=[],this.boundingBoxDetector=e,this.meshDetector=t,this.irisModel=n,this.boxSize=((o=e==null?void 0:e.model)==null?void 0:o.inputs[0].shape[2])||0,this.meshSize=(t==null?void 0:t.inputs[0].shape[2])||((i=e==null?void 0:e.model)==null?void 0:i.inputs[0].shape[2]),this.irisSize=(n==null?void 0:n.inputs[0].shape[1])||0,this.irisEnlarge=2.3,this.skipped=0,this.detectedFaces=0}transformRawCoords(e,t,n,o){let i=u0({startPoint:t.startPoint,endPoint:t.endPoint}),r=e.map(l=>[i[0]/this.meshSize*(l[0]-this.meshSize/2),i[1]/this.meshSize*(l[1]-this.meshSize/2),l[2]]),s=n!==0?w0(n,[0,0]):S0,y=n!==0?r.map(l=>[...yA(l,s),l[2]]):r,x=n!==0?xA(o):S0,d=[...x0({startPoint:t.startPoint,endPoint:t.endPoint}),1];return y.map(l=>[Math.round(l[0]+A0(d,x[0])),Math.round(l[1]+A0(d,x[1])),Math.round(l[2])])}getLeftToRightEyeDepthDifference(e){let t=e[l0.leftBounds[0]][2],n=e[l0.rightBounds[0]][2];return t-n}getEyeBox(e,t,n,o,i=!1){let r=j0(R0(D0([e[n],e[o]]),this.irisEnlarge)),s=u0(r),y=a.image.cropAndResize(t,[[r.startPoint[1]/this.meshSize,r.startPoint[0]/this.meshSize,r.endPoint[1]/this.meshSize,r.endPoint[0]/this.meshSize]],[0],[this.irisSize,this.irisSize]);return i&&a.ENV.flags.IS_BROWSER&&(y=a.image.flipLeftRight(y)),{box:r,boxSize:s,crop:y}}getEyeCoords(e,t,n,o=!1){let i=[];for(let r=0;r<c0.numCoordinates;r++){let s=e[r*3],y=e[r*3+1],x=e[r*3+2];i.push([(o?1-s/this.irisSize:s/this.irisSize)*n[0]+t.startPoint[0],y/this.irisSize*n[1]+t.startPoint[1],x])}return{rawCoords:i,iris:i.slice(c0.index)}}getAdjustedIrisCoords(e,t,n){let o=e[_[`${n}EyeUpper0`][c0.upperCenter]][2],i=e[_[`${n}EyeLower0`][c0.lowerCenter]][2],r=(o+i)/2;return t.map((s,y)=>{let x=r;return y===2?x=o:y===4&&(x=i),[s[0],s[1],x]})}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 r of o.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&&(n=!0)}if(n){if(!o||!o.boxes||o.boxes.length===0)return this.storedBoxes=[],this.detectedFaces=0,null;for(let r=0;r<this.storedBoxes.length;r++){let s=sA({startPoint:this.storedBoxes[r].startPoint,endPoint:this.storedBoxes[r].endPoint},o.scaleFactor),y=R0(s),x=j0(y),d=this.storedBoxes[r].landmarks,l=this.storedBoxes[r].confidence;this.storedBoxes[r]={...x,confidence:l,landmarks:d}}}o&&o.boxes&&o.boxes.forEach(r=>{r.box.startPoint.dispose(),r.box.endPoint.dispose(),r.landmarks.dispose()});let i=a.tidy(()=>this.storedBoxes.map((r,s)=>{let y,x=0,d;if(t.face.detector.rotation&&t.face.mesh.enabled&&a.ENV.flags.IS_BROWSER){let[j,S]=r.landmarks.length>=W0.count?W0.symmetryLine:mA.symmetryLine;x=Q0(r.landmarks[j],r.landmarks[S]);let g=x0({startPoint:r.startPoint,endPoint:r.endPoint}),h=[g[0]/e.shape[2],g[1]/e.shape[1]],T=a.image.rotateWithOffset(e,x,0,h);d=w0(-x,g),t.face.mesh.enabled?y=y0({startPoint:r.startPoint,endPoint:r.endPoint},T,[this.meshSize,this.meshSize]).div(255):y=y0({startPoint:r.startPoint,endPoint:r.endPoint},T,[this.boxSize,this.boxSize]).div(255)}else{d=S0;let j=e.clone();t.face.mesh.enabled?y=y0({startPoint:r.startPoint,endPoint:r.endPoint},j,[this.meshSize,this.meshSize]).div(255):y=y0({startPoint:r.startPoint,endPoint:r.endPoint},j,[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),p=l.dataSync()[0];if(p<t.face.detector.minConfidence)return this.storedBoxes[s].confidence=p,null;let c=a.reshape(f,[-1,3]).arraySync();if(t.face.iris.enabled){let{box:j,boxSize:S,crop:g}=this.getEyeBox(c,y,l0.leftBounds[0],l0.leftBounds[1],!0),{box:h,boxSize:T,crop:M}=this.getEyeBox(c,y,l0.rightBounds[0],l0.rightBounds[1]),N=this.irisModel.predict(a.concat([g,M])).dataSync(),J=N.slice(0,c0.numCoordinates*3),{rawCoords:V,iris:a0}=this.getEyeCoords(J,j,S,!0),R=N.slice(c0.numCoordinates*3),{rawCoords:$,iris:A2}=this.getEyeCoords(R,h,T),K5=this.getLeftToRightEyeDepthDifference(c);Math.abs(K5)<30?(k0(c,V,"left",null),k0(c,$,"right",null)):K5<1?k0(c,V,"left",["EyeUpper0","EyeLower0"]):k0(c,$,"right",["EyeUpper0","EyeLower0"]);let e2=this.getAdjustedIrisCoords(c,a0,"left"),t2=this.getAdjustedIrisCoords(c,A2,"right");c=c.concat(e2).concat(t2)}let u=this.transformRawCoords(c,r,x,d),z=r.confidence;if(r=R0(D0(u),1.5),r.confidence=z,t.face.detector.rotation&&t.face.mesh.enabled&&t.face.description.enabled&&a.ENV.flags.IS_BROWSER){let[j,S]=r.landmarks.length>=W0.count?W0.symmetryLine:mA.symmetryLine;x=Q0(r.landmarks[j],r.landmarks[S]);let g=x0({startPoint:r.startPoint,endPoint:r.endPoint}),h=[g[0]/e.shape[2],g[1]/e.shape[1]],T=a.image.rotateWithOffset(e.toFloat(),x,0,h);d=w0(-x,g),y=y0({startPoint:r.startPoint,endPoint:r.endPoint},T,[this.meshSize,this.meshSize]).div(255)}let P={mesh:u,box:r,faceConfidence:p,boxConfidence:r.confidence,image:y};return this.storedBoxes[s]={...j0(r),confidence:r.confidence,faceConfidence:p},P}));return t.face.mesh.enabled&&(this.storedBoxes=this.storedBoxes.filter(r=>r.confidence>t.face.detector.minConfidence)),this.detectedFaces=i.length,i}};var O=[null,null,null],t5;async function n5(A,e){let t=await t5.predict(A,e),n=[];for(let o of t||[]){if(!o||o.isDisposedInternal)continue;let i=o.mesh.map(x=>[x[0]/A.shape[2],x[1]/A.shape[1],x[2]/t5.meshSize]),r={};if(o.mesh&&o.mesh.length>0)for(let x of Object.keys(_))r[x]=_[x].map(d=>o.mesh[d]);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:i,annotations:r,image:o.image}),o.coords&&o.coords.dispose()}return n}async function o5(A){return!O[0]&&A.face.enabled||!O[1]&&A.face.mesh.enabled||!O[2]&&A.face.iris.enabled?(O=await Promise.all([!O[0]&&A.face.enabled?fA(A):null,!O[1]&&A.face.mesh.enabled?a.loadGraphModel(Z(A.modelBasePath,A.face.mesh.modelPath),{fromTFHub:A.face.mesh.modelPath.includes("tfhub.dev")}):null,!O[2]&&A.face.iris.enabled?a.loadGraphModel(Z(A.modelBasePath,A.face.iris.modelPath),{fromTFHub:A.face.iris.modelPath.includes("tfhub.dev")}):null]),A.face.mesh.enabled&&(!O[1]||!O[1].modelUrl?b("load model failed:",A.face.mesh.modelPath):A.debug&&b("load model:",O[1].modelUrl)),A.face.iris.enabled&&(!O[2]||!O[2].modelUrl?b("load model failed:",A.face.iris.modelPath):A.debug&&b("load model:",O[2].modelUrl))):A.debug&&(O[0]&&b("cached model:",O[0].model.modelUrl),O[1]&&b("cached model:",O[1].modelUrl),O[2]&&b("cached model:",O[2].modelUrl)),t5=new e5(O[0],O[1],O[2]),O}var hA=s0,uA=p0;var x5={};Q(x5,{load:()=>a5,predict:()=>I0});var u2=["angry","disgust","fear","happy","sad","surprise","neutral"],G,N0=[],pA=0,r5=Number.MAX_SAFE_INTEGER,i5=[.2989,.587,.114];async function a5(A){return G?A.debug&&b("cached model:",G.modelUrl):(G=await a.loadGraphModel(Z(A.modelBasePath,A.face.emotion.modelPath)),!G||!G.modelUrl?b("load model failed:",A.face.emotion.modelPath):A.debug&&b("load model:",G.modelUrl)),G}async function I0(A,e,t,n){return G?r5<e.face.emotion.skipFrames&&e.skipFrame&&pA===n&&N0[t]&&N0[t].length>0?(r5++,N0[t]):(r5=0,new Promise(async o=>{let i=a.image.resizeBilinear(A,[G.inputs[0].shape[2],G.inputs[0].shape[1]],!1),[r,s,y]=a.split(i,3,3);i.dispose();let x=a.mul(r,i5[0]),d=a.mul(s,i5[1]),l=a.mul(y,i5[2]);r.dispose(),s.dispose(),y.dispose();let f=a.addN([x,d,l]);x.dispose(),d.dispose(),l.dispose();let p=a.tidy(()=>f.sub(.5).mul(2));f.dispose();let v=[];if(e.face.emotion.enabled){let c=await G.predict(p),u=c.dataSync();a.dispose(c);for(let z=0;z<u.length;z++)u[z]>e.face.emotion.minConfidence&&v.push({score:Math.min(.99,Math.trunc(100*u[z])/100),emotion:u2[z]});v.sort((z,P)=>P.score-z.score)}p.dispose(),N0[t]=v,pA=n,o(v)})):null}var f5={};Q(f5,{enhance:()=>d5,load:()=>l5,match:()=>gA,predict:()=>L0,similarity:()=>c5});var D,O0=[],bA=0,y5=Number.MAX_SAFE_INTEGER;async function l5(A){let e=Z(A.modelBasePath,A.face.description.modelPath);return D?A.debug&&b("cached model:",e):(D=await a.loadGraphModel(e),D?A.debug&&b("load model:",e):b("load model failed:",A.face.description.modelPath)),D}function c5(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((i,r)=>Math.abs(A[r]-e[r])**t).reduce((i,r)=>i+r,0)**(1/t);return Math.max(0,100-n)/100}function gA(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 i=c5(A,o.embedding);i>t&&i>n.similarity&&(n={...o,similarity:i})}return n}function d5(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 D.inputs[0].shape?(t.shape.length===3?a.image.cropAndResize(a.expandDims(t,0),n,[0],[D.inputs[0].shape[2],D.inputs[0].shape[1]]):a.image.cropAndResize(t,n,[0],[D.inputs[0].shape[2],D.inputs[0].shape[1]])).mul(255):null})}async function L0(A,e,t,n){var o,i;return D?y5<e.face.description.skipFrames&&e.skipFrame&&bA===n&&((o=O0[t])==null?void 0:o.age)&&((i=O0[t])==null?void 0:i.age)>0?(y5++,O0):(y5=0,new Promise(async r=>{let s=d5(A),y,x={age:0,gender:"unknown",genderConfidence:0,descriptor:[]};e.face.description.enabled&&(y=await D.predict(s)),a.dispose(s),y&&(a.tidy(()=>{let d=y.find(c=>c.shape[1]===1).dataSync(),l=Math.trunc(200*Math.abs(d[0]-.5))/100;l>e.face.description.minConfidence&&(x.gender=d[0]<=.5?"female":"male",x.genderConfidence=Math.min(.99,l));let f=y.find(c=>c.shape[1]===100).argMax(1).dataSync()[0],p=y.find(c=>c.shape[1]===100).dataSync();x.age=Math.round(p[f-1]>p[f+1]?10*f-100*p[f-1]:10*f+100*p[f+1])/10;let v=y.find(c=>c.shape[1]===1024);x.descriptor=[...v.dataSync()]}),y.forEach(d=>a.dispose(d))),O0[t]=x,bA=n,r(x)})):null}var p2=(A,e)=>{let t=u=>u*180/Math.PI,n=u=>{let z=Math.sqrt(u[0]*u[0]+u[1]*u[1]+u[2]*u[2]);return u[0]/=z,u[1]/=z,u[2]/=z,u},o=(u,z)=>{let P=u[0]-z[0],j=u[1]-z[1],S=u[2]-z[2];return[P,j,S]},i=(u,z)=>{let P=u[1]*z[2]-u[2]*z[1],j=u[2]*z[0]-u[0]*z[2],S=u[0]*z[1]-u[1]*z[0];return[P,j,S]},r=u=>{let[z,P,j,S,g,h,T,M,k]=u,N,J,V;return S<1?S>-1?(V=Math.asin(S),J=Math.atan2(-T,z),N=Math.atan2(-h,g)):(V=-Math.PI/2,J=-Math.atan2(M,k),N=0):(V=Math.PI/2,J=Math.atan2(M,k),N=0),{pitch:2*-N,yaw:2*-J,roll:2*-V}},s=u=>{let z=(j,S,g,h)=>Math.atan2(h-S,g-j);return{pitch:z(u[10][1],u[10][2],u[152][1],u[152][2]),yaw:z(u[33][0],u[33][2],u[263][0],u[263][2]),roll:z(u[33][0],u[33][1],u[263][0],u[263][1])}},y=A.meshRaw;if(!y||y.length<300)return{angle:{pitch:0,yaw:0,roll:0},matrix:[1,0,0,0,1,0,0,0,1]};let x=Math.max(A.boxRaw[2]*e[0],A.boxRaw[3]*e[1])/1.5,d=[y[10],y[152],y[234],y[454]].map(u=>[u[0]*e[0]/x,u[1]*e[1]/x,u[2]]),l=n(o(d[1],d[0])),f=n(o(d[3],d[2])),p=n(i(f,l));f=i(l,p);let v=[f[0],f[1],f[2],l[0],l[1],l[2],p[0],p[1],p[2]];return{angle:r(v),matrix:v}},m5=async(A,e)=>{var d,l,f,p,v,c,u,z;let t,n,o,i,r,s,y=[];A.state="run:face",t=W();let x=await n5(e,A.config);if(A.perf.face=Math.trunc(W()-t),!x)return[];for(let P=0;P<x.length;P++){if(A.analyze("Get Face"),!x[P].image||x[P].image.isDisposedInternal){b("Face object is disposed:",x[P].image);continue}let j=p2(x[P],[e.shape[2],e.shape[1]]);A.analyze("Start Emotion:"),A.config.async?i=A.config.face.emotion.enabled?I0(x[P].image,A.config,P,x.length):{}:(A.state="run:emotion",t=W(),i=A.config.face.emotion.enabled?await I0(x[P].image,A.config,P,x.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?L0(x[P],A.config,P,x.length):[]:(A.state="run:description",t=W(),s=A.config.face.description.enabled?await L0(x[P].image,A.config,P,x.length):[],A.perf.embedding=Math.trunc(W()-t)),A.analyze("End Description:"),A.config.async&&([n,o,i,r,s]=await Promise.all([n,o,i,r,s])),A.analyze("Finish Face:"),!A.config.face.iris.enabled&&((l=(d=x[P])==null?void 0:d.annotations)==null?void 0:l.leftEyeIris)&&((p=(f=x[P])==null?void 0:f.annotations)==null?void 0:p.rightEyeIris)&&(delete x[P].annotations.leftEyeIris,delete x[P].annotations.rightEyeIris);let S=((v=x[P].annotations)==null?void 0:v.leftEyeIris)&&((c=x[P].annotations)==null?void 0:c.rightEyeIris)?Math.max(Math.abs(x[P].annotations.leftEyeIris[3][0]-x[P].annotations.leftEyeIris[1][0]),Math.abs(x[P].annotations.rightEyeIris[4][1]-x[P].annotations.rightEyeIris[2][1]))/e.shape[2]:0;y.push({id:P,...x[P],age:s.age,gender:s.gender,genderConfidence:s.genderConfidence,embedding:s.descriptor,emotion:i,iris:S!==0?Math.trunc(500/S/11.7)/100:0,rotation:j,tensor:A.config.face.detector.return?(u=x[P].image)==null?void 0:u.squeeze():null}),(z=x[P].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 M5={};Q(M5,{load:()=>P5,predict:()=>T5});var b0=["nose","leftEye","rightEye","leftEar","rightEar","leftShoulder","rightShoulder","leftElbow","rightElbow","leftWrist","rightWrist","leftHip","rightHip","leftKnee","rightKnee","leftAnkle","rightAnkle"],TA=b0.length,g0=b0.reduce((A,e,t)=>(A[e]=t,A),{}),b2=[["leftHip","leftShoulder"],["leftElbow","leftShoulder"],["leftElbow","leftWrist"],["leftHip","leftKnee"],["leftKnee","leftAnkle"],["rightHip","rightShoulder"],["rightElbow","rightShoulder"],["rightElbow","rightWrist"],["rightHip","rightKnee"],["rightKnee","rightAnkle"],["leftShoulder","rightShoulder"],["leftHip","rightHip"]],g2=b2.map(([A,e])=>[g0[A],g0[e]]),PA=[["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 MA(A){let e=A.reduce(({maxX:t,maxY:n,minX:o,minY:i},{position:{x:r,y:s}})=>({maxX:Math.max(t,r),maxY:Math.max(n,s),minX:Math.min(o,r),minY:Math.min(i,s)}),{maxX:Number.NEGATIVE_INFINITY,maxY:Number.NEGATIVE_INFINITY,minX:Number.POSITIVE_INFINITY,minY:Number.POSITIVE_INFINITY});return[e.minX,e.minY,e.maxX-e.minX,e.maxY-e.minY]}function zA(A,[e,t],[n,o]){let i=e/n,r=t/o,s=(x,d)=>({id:d,score:x.score,boxRaw:[x.box[0]/o,x.box[1]/n,x.box[2]/o,x.box[3]/n],box:[Math.trunc(x.box[0]*r),Math.trunc(x.box[1]*i),Math.trunc(x.box[2]*r),Math.trunc(x.box[3]*i)],keypoints:x.keypoints.map(({score:l,part:f,position:p})=>({score:l,part:f,position:{x:Math.trunc(p.x*r),y:Math.trunc(p.y*i)}}))});return A.map((x,d)=>s(x,d))}var h5=class{constructor(e,t){this.priorityQueue=new Array(e),this.numberOfElements=-1,this.getElementValue=t}enqueue(e){this.priorityQueue[++this.numberOfElements]=e,this.swim(this.numberOfElements)}dequeue(){let e=this.priorityQueue[0];return 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i=a.tidy(()=>a.sigmoid(a.slice(o,[0,0],[-1,1])).squeeze()),r=i.dataSync(),s=a.slice(o,[0,1],[-1,4]),y=this.normalizeBoxes(s);s.dispose();let x=await a.image.nonMaxSuppressionAsync(y,r,t.hand.maxDetected,t.hand.iouThreshold,t.hand.minConfidence),d=x.arraySync();i.dispose(),x.dispose();let l=[];for(let f of d)if(r[f]>=t.hand.minConfidence){let p=a.slice(y,[f,0],[1,-1]),v=a.slice(o,[f,5],[1,14]),c=a.tidy(()=>this.normalizeLandmarks(v,f).reshape([-1,2]));v.dispose(),l.push({box:p,palmLandmarks:c,confidence:r[f]})}return o.dispose(),y.dispose(),l}async estimateHandBounds(e,t){let n=e.shape[1],o=e.shape[2],i=a.tidy(()=>e.resizeBilinear([this.inputSize,this.inputSize]).div(127.5).sub(1)),r=await this.getBoxes(i,t);i.dispose();let s=[];if(!r||r.length===0)return s;for(let y of r){let x=y.box.dataSync(),d=x.slice(0,2),l=x.slice(2,4),f=y.palmLandmarks.arraySync();y.box.dispose(),y.palmLandmarks.dispose(),s.push(wA({startPoint:d,endPoint:l,palmLandmarks:f,confidence:y.confidence},[o/this.inputSize,n/this.inputSize]))}return s}};function R2(A){return A-2*Math.PI*Math.floor((A+Math.PI)/(2*Math.PI))}function kA(A,e){let t=Math.PI/2-Math.atan2(-(e[1]-A[1]),e[0]-A[0]);return R2(t)}var NA=(A,e)=>[[1,0,A],[0,1,e],[0,0,1]];function e0(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 IA(A,e){let t=[],n=A.length;for(let o=0;o<n;o++){t.push([]);for(let i=0;i<n;i++)t[o].push(e0(A[o],j2(e,i)))}return t}function v5(A,e){let t=Math.cos(A),n=Math.sin(A),o=[[t,-n,0],[n,t,0],[0,0,1]],i=NA(e[0],e[1]),r=IA(i,o),s=NA(-e[0],-e[1]);return IA(r,s)}function OA(A){let e=[[A[0][0],A[1][0]],[A[0][1],A[1][1]]],t=[A[0][2],A[1][2]],n=[-e0(e[0],t),-e0(e[1],t)];return[e[0].concat(n[0]),e[1].concat(n[1]),[0,0,1]]}function E5(A,e){return[e0(A,e[0]),e0(A,e[1])]}var S2=5,LA=1.65,ZA=[0,5,9,13,17,1,2],w2=0,W2=2,R5=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(r=>r[0]),n=e.map(r=>r[1]),o=[Math.min(...t),Math.min(...n)],i=[Math.max(...t),Math.max(...n)];return{startPoint:o,endPoint:i}}getBoxForPalmLandmarks(e,t){let n=e.map(i=>E5([...i,1],t)),o=this.calculateLandmarksBoundingBox(n);return H0(X0(o),S2)}getBoxForHandLandmarks(e){let t=this.calculateLandmarksBoundingBox(e),n=H0(X0(t),LA);n.palmLandmarks=[];for(let o=0;o<ZA.length;o++)n.palmLandmarks.push(e[ZA[o]].slice(0,2));return n}transformRawCoords(e,t,n,o){let i=V0(t),r=[i[0]/this.inputSize,i[1]/this.inputSize,(i[0]+i[1])/this.inputSize/2],s=e.map(p=>[r[0]*(p[0]-this.inputSize/2),r[1]*(p[1]-this.inputSize/2),r[2]*p[2]]),y=v5(n,[0,0]),x=s.map(p=>[...E5(p,y),p[2]]),d=OA(o),l=[...T0(t),1],f=[e0(l,d[0]),e0(l,d[1])];return x.map(p=>[p[0]+f[0],p[1]+f[1],p[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 i=[];for(let r=0;r<this.storedBoxes.length;r++){let s=this.storedBoxes[r];if(!!s)if(t.hand.landmarks){let y=t.hand.rotation?kA(s.palmLandmarks[w2],s.palmLandmarks[W2]):0,x=T0(s),d=[x[0]/e.shape[2],x[1]/e.shape[1]],l=t.hand.rotation?a.image.rotateWithOffset(e,y,0,d):e.clone(),f=v5(-y,x),p=n?this.getBoxForPalmLandmarks(s.palmLandmarks,f):s,v=SA(p,l,[this.inputSize,this.inputSize]),c=v.div(255);v.dispose(),l.dispose();let[u,z]=await this.handPoseModel.predict(c);c.dispose();let P=u.dataSync()[0];if(u.dispose(),P>=t.hand.minConfidence){let j=a.reshape(z,[-1,3]),S=j.arraySync();z.dispose(),j.dispose();let g=this.transformRawCoords(S,p,y,f),h=this.getBoxForHandLandmarks(g);this.storedBoxes[r]={...h,confidence:P};let T={landmarks:g,confidence:P,box:{topLeft:h.startPoint,bottomRight:h.endPoint}};i.push(T)}else this.storedBoxes[r]=null;z.dispose()}else{let y=H0(X0(s),LA),x={confidence:s.confidence,box:{topLeft:y.startPoint,bottomRight:y.endPoint}};i.push(x)}}return this.storedBoxes=this.storedBoxes.filter(r=>r!==null),this.detectedHands=i.length,i}};var VA={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]},t0,n0,HA;async function j5(A,e){let t=await HA.estimateHands(A,e);if(!t)return[];let n=[];for(let o=0;o<t.length;o++){let i={};if(t[o].landmarks)for(let x of Object.keys(VA))i[x]=VA[x].map(d=>t[o].landmarks[d]);let r=t[o].landmarks,s=[Number.MAX_SAFE_INTEGER,Number.MAX_SAFE_INTEGER,0,0],y=[0,0,0,0];if(r&&r.length>0){for(let x of r)x[0]<s[0]&&(s[0]=x[0]),x[1]<s[1]&&(s[1]=x[1]),x[0]>s[2]&&(s[2]=x[0]),x[1]>s[3]&&(s[3]=x[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:r,annotations:i})}return n}async function S5(A){!t0||!n0?([t0,n0]=await Promise.all([A.hand.enabled?a.loadGraphModel(Z(A.modelBasePath,A.hand.detector.modelPath),{fromTFHub:A.hand.detector.modelPath.includes("tfhub.dev")}):null,A.hand.landmarks?a.loadGraphModel(Z(A.modelBasePath,A.hand.skeleton.modelPath),{fromTFHub:A.hand.skeleton.modelPath.includes("tfhub.dev")}):null]),A.hand.enabled&&(!t0||!t0.modelUrl?b("load model failed:",A.hand.detector.modelPath):A.debug&&b("load model:",t0.modelUrl),!n0||!n0.modelUrl?b("load model failed:",A.hand.skeleton.modelPath):A.debug&&b("load model:",n0.modelUrl))):(A.debug&&b("cached model:",t0.modelUrl),A.debug&&b("cached model:",n0.modelUrl));let e=new z5(t0);return HA=new R5(e,n0),[t0,n0]}var N5={};Q(N5,{load:()=>W5,predict:()=>k5});var XA=["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"],FA=["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 X;async function W5(A){return X?A.debug&&b("cached model:",X.modelUrl):(X=await a.loadGraphModel(Z(A.modelBasePath,A.body.modelPath)),X.width=parseInt(X.signature.inputs["input_1:0"].tensorShape.dim[2].size),X.height=parseInt(X.signature.inputs["input_1:0"].tensorShape.dim[1].size),!X||!X.modelUrl?b("load model failed:",A.body.modelPath):A.debug&&b("load model:",X.modelUrl)),X}async function k5(A,e){var c;if(!X)return[];if(!e.body.enabled)return[];let t={width:A.shape[2],height:A.shape[1]},n=a.image.resizeBilinear(A,[X.width,X.height],!1),o=a.div(n,[255]);n.dispose();let i=await X.predict(o),r=((c=i.find(u=>u.size===195||u.size===155))==null?void 0:c.dataSync())||[];i.forEach(u=>u.dispose()),o.dispose();let s=[],y=(r==null?void 0:r.length)===195?XA:FA,x=5;for(let u=0;u<r.length/x;u++)s.push({id:u,part:y[u],position:{x:Math.trunc(t.width*r[x*u+0]/255),y:Math.trunc(t.height*r[x*u+1]/255),z:Math.trunc(r[x*u+2])+0},score:(100-Math.trunc(100/(1+Math.exp(r[x*u+3]))))/100,presence:(100-Math.trunc(100/(1+Math.exp(r[x*u+4]))))/100});let d=s.map(u=>u.position.x),l=s.map(u=>u.position.x),f=[Math.min(...d),Math.min(...l),Math.max(...d)-Math.min(...d),Math.max(...l)-Math.min(...d)],p=[0,0,0,0],v=s.reduce((u,z)=>z.score>u?z.score:u,0);return[{id:0,score:v,box:f,boxRaw:p,keypoints:s}]}var V5={};Q(V5,{load:()=>L5,predict:()=>Z5});var f0=[{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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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 B,I5=[],O5=Number.MAX_SAFE_INTEGER,F0=2.5;async function L5(A){if(B)A.debug&&b("cached model:",B.modelUrl);else{B=await a.loadGraphModel(Z(A.modelBasePath,A.object.modelPath));let e=Object.values(B.modelSignature.inputs);if(B.inputSize=Array.isArray(e)?parseInt(e[0].tensorShape.dim[2].size):null,!B.inputSize)throw new Error(`Human: Cannot determine model inputSize: ${A.object.modelPath}`);!B||!B.modelUrl?b("load model failed:",A.object.modelPath):A.debug&&b("load model:",B.modelUrl)}return B}async function k2(A,e,t,n){let o=0,i=[];for(let x of[1,2,4])a.tidy(()=>{var u,z;let d=x*13,l=(u=A.find(P=>P.shape[1]===d**2&&P.shape[2]===f0.length))==null?void 0:u.squeeze(),f=(z=A.find(P=>P.shape[1]===d**2&&P.shape[2]<f0.length))==null?void 0:z.squeeze(),v=f.reshape([-1,4,f.shape[1]/4]).argMax(2).arraySync(),c=l.arraySync();for(let P=0;P<l.shape[0];P++)for(let j=0;j<l.shape[1];j++){let S=c[P][j];if(S>n.object.minConfidence&&j!==61){let g=(.5+Math.trunc(P%d))/d,h=(.5+Math.trunc(P/d))/d,T=v[P].map($=>$*(d/x/e)),[M,k]=[g-F0/x*T[0],h-F0/x*T[1]],[N,J]=[g+F0/x*T[2]-M,h+F0/x*T[3]-k],V=[M,k,N,J];V=V.map($=>Math.max(0,Math.min($,1)));let a0=[V[0]*t[0],V[1]*t[1],V[2]*t[0],V[3]*t[1]],R={id:o++,strideSize:x,score:Math.round(100*S)/100,class:j+1,label:f0[j].label,center:[Math.trunc(t[0]*g),Math.trunc(t[1]*h)],centerRaw:[g,h],box:a0.map($=>Math.trunc($)),boxRaw:V};i.push(R)}}});A.forEach(x=>a.dispose(x));let r=i.map(x=>[x.boxRaw[1],x.boxRaw[0],x.boxRaw[3],x.boxRaw[2]]),s=i.map(x=>x.score),y=[];if(r&&r.length>0){let x=await a.image.nonMaxSuppressionAsync(r,s,n.object.maxDetected,n.object.iouThreshold,n.object.minConfidence);y=x.dataSync(),a.dispose(x)}return i=i.filter((x,d)=>y.includes(d)).sort((x,d)=>d.score-x.score),i}async function Z5(A,e){return O5<e.object.skipFrames&&e.skipFrame&&I5.length>0?(O5++,I5):(O5=0,new Promise(async t=>{let n=[A.shape[2],A.shape[1]],o=a.image.resizeBilinear(A,[B.inputSize,B.inputSize],!1),i=o.div(255),r=i.transpose([0,3,1,2]);i.dispose(),o.dispose();let s;e.object.enabled&&(s=await B.predict(r)),r.dispose();let y=await k2(s,B.inputSize,n,e);I5=y,t(y)}))}var C5={};Q(C5,{load:()=>F5,predict:()=>q5});var Y,H5=[],X5=Number.MAX_SAFE_INTEGER;async function F5(A){if(Y)A.debug&&b("cached model:",Y.modelUrl);else{Y=await a.loadGraphModel(Z(A.modelBasePath,A.object.modelPath));let e=Object.values(Y.modelSignature.inputs);if(Y.inputSize=Array.isArray(e)?parseInt(e[0].tensorShape.dim[2].size):null,!Y.inputSize)throw new Error(`Human: Cannot determine model inputSize: ${A.object.modelPath}`);!Y||!Y.modelUrl?b("load model failed:",A.object.modelPath):A.debug&&b("load model:",Y.modelUrl)}return Y}async function N2(A,e,t,n){let o=[],i=A.arraySync(),r=a.squeeze(A);A.dispose();let s=a.split(r,6,1);r.dispose();let x=a.stack([s[1],s[0],s[3],s[2]],1).squeeze(),d=s[4].squeeze(),l=s[5].squeeze();s.forEach(c=>c.dispose());let f=await a.image.nonMaxSuppressionAsync(x,d,n.object.maxDetected,n.object.iouThreshold,n.object.minConfidence);x.dispose(),d.dispose(),l.dispose();let p=f.dataSync();f.dispose();let v=0;for(let c of p){let u=i[0][c][4],z=i[0][c][5],P=f0[z].label,j=[i[0][c][0]/e,i[0][c][1]/e,i[0][c][2]/e,i[0][c][3]/e],S=[Math.trunc(j[0]*t[0]),Math.trunc(j[1]*t[1]),Math.trunc(j[2]*t[0]),Math.trunc(j[3]*t[1])];o.push({id:v++,score:u,class:z,label:P,box:S,boxRaw:j})}return o}async function q5(A,e){return X5<e.object.skipFrames&&e.skipFrame&&H5.length>0?(X5++,H5):(X5=0,new Promise(async t=>{let n=[A.shape[2],A.shape[1]],o=a.image.resizeBilinear(A,[Y.inputSize,Y.inputSize],!1),i;e.object.enabled&&(i=Y.execute(o,"tower_0/detections")),o.dispose();let r=await N2(i,Y.inputSize,n,e);H5=r,t(r)}))}var qA=A=>{if(!A)return[];let e=[];for(let t=0;t<A.length;t++){let n=A[t].keypoints.find(y=>y.part==="leftWrist"),o=A[t].keypoints.find(y=>y.part==="rightWrist"),i=A[t].keypoints.find(y=>y.part==="nose");i&&n&&o&&n.position.y<i.position.y&&o.position.y<i.position.y?e.push({body:t,gesture:"i give up"}):i&&n&&n.position.y<i.position.y?e.push({body:t,gesture:"raise left hand"}):i&&o&&o.position.y<i.position.y&&e.push({body:t,gesture:"raise right hand"});let r=A[t].keypoints.find(y=>y.part==="leftShoulder"),s=A[t].keypoints.find(y=>y.part==="rightShoulder");r&&s&&e.push({body:t,gesture:`leaning ${r.position.y>s.position.y?"left":"right"}`})}return e},CA=A=>{if(!A)return[];let e=[];for(let t=0;t<A.length;t++)if(A[t].mesh&&A[t].mesh.length>0){let n=A[t].mesh[33][2]-A[t].mesh[263][2];Math.abs(n)<10?e.push({face:t,gesture:"facing center"}):e.push({face:t,gesture:`facing ${n<0?"left":"right"}`}),Math.abs(A[t].mesh[374][1]-A[t].mesh[386][1])/Math.abs(A[t].mesh[443][1]-A[t].mesh[450][1])<.2&&e.push({face:t,gesture:"blink left 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function DA(A,e,t){let n=F(o0,t);if(!e||!A||!(A instanceof HTMLCanvasElement))return;let o=A.getContext("2d");if(!!o){o.lineJoin="round",o.font=n.font;for(let i of e){if(n.drawBoxes&&(o.strokeStyle=n.color,o.fillStyle=n.color,P0(o,i.box[0],i.box[1],i.box[2],i.box[3],n),n.drawLabels&&(n.shadowColor&&n.shadowColor!==""&&(o.fillStyle=n.shadowColor,o.fillText("hand",i.box[0]+3,1+i.box[1]+n.lineHeight,i.box[2])),o.fillStyle=n.labelColor,o.fillText("hand",i.box[0]+2,0+i.box[1]+n.lineHeight,i.box[2])),o.stroke()),n.drawPoints&&i.landmarks&&i.landmarks.length>0)for(let r of i.landmarks)o.fillStyle=n.useDepth?`rgba(${127.5+2*r[2]}, ${127.5-2*r[2]}, 255, 0.5)`:n.color,Y5(o,r[0],r[1],0,n);if(n.drawLabels){let r=(s,y)=>{o.fillStyle=n.useDepth?`rgba(${127.5+2*s[s.length-1][2]}, ${127.5-2*s[s.length-1][2]}, 255, 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state:",this.tf.engine().state.numBytes,"bytes",this.tf.engine().state.numTensors,"tensors"),K(this,r0,!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=F(this.config,t),this.state="check";let i=H(this,Y0).call(this,e);i&&(b(i,e),n({error:i}));let r=W();await H(this,E0).call(this),await this.load(),o=W();let s=B5(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 H(this,J0).call(this,s.tensor),this.perf.frames||(this.perf.frames=0),this.perf.cached||(this.perf.cached=0),this.perf.frames++,this.config.skipFrame&&this.perf.cached++,this.perf.changed=Math.trunc(W()-o),this.analyze("Check Changed:");let y,x,d,l,f;this.config.async?(y=this.config.face.enabled?m5(this,s.tensor):[],this.perf.face&&delete this.perf.face):(this.state="run:face",o=W(),y=this.config.face.enabled?await m5(this,s.tensor):[],f=Math.trunc(W()-o),f>0&&(this.perf.face=f)),this.analyze("Start Body:"),this.config.async?(this.config.body.modelPath.includes("posenet")?x=this.config.body.enabled?T5(s.tensor,this.config):[]:this.config.body.modelPath.includes("blazepose")&&(x=this.config.body.enabled?k5(s.tensor,this.config):[]),this.perf.body&&delete this.perf.body):(this.state="run:body",o=W(),this.config.body.modelPath.includes("posenet")?x=this.config.body.enabled?await T5(s.tensor,this.config):[]:this.config.body.modelPath.includes("blazepose")&&(x=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?(d=this.config.hand.enabled?j5(s.tensor,this.config):[],this.perf.hand&&delete this.perf.hand):(this.state="run:hand",o=W(),d=this.config.hand.enabled?await j5(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?Z5(s.tensor,this.config):[]:this.config.object.modelPath.includes("centernet")&&(l=this.config.object.enabled?q5(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 Z5(s.tensor,this.config):[]:this.config.object.modelPath.includes("centernet")&&(l=this.config.object.enabled?await q5(s.tensor,this.config):[]),f=Math.trunc(W()-o),f>0&&(this.perf.object=f)),this.analyze("End Object:"),this.config.async&&([y,x,d,l]=await Promise.all([y,x,d,l]));let p=[];this.config.gesture.enabled&&(o=W(),p=[...CA(y),...qA(x),...YA(d),...BA(y)],this.config.async?this.perf.gesture&&delete this.perf.gesture:this.perf.gesture=Math.trunc(W()-o)),this.perf.total=Math.trunc(W()-r),this.state="idle";let v={face:y,body:x,hand:d,gesture:p,object:l,performance:this.perf,canvas:s.canvas,timestamp:Date.now(),get persons(){var c;return _A(y,x,d,p,(c=s==null?void 0:s.tensor)==null?void 0:c.shape)}};a.dispose(s.tensor),n(v)})}async warmup(e={}){let t=W();if(e&&(this.config=F(this.config,e)),!this.config.warmup||this.config.warmup==="none")return{error:"null"};let n;typeof createImageBitmap=="function"?n=await H(this,U0).call(this):typeof Image!="undefined"?n=await H(this,K0).call(this):n=await H(this,G0).call(this);let o=W();return this.config.debug&&b("Warmup",this.config.warmup,Math.round(o-t),"ms",n),n}};m0=new WeakMap,z0=new WeakMap,v0=new WeakMap,r0=new WeakMap,i0=new WeakMap,h0=new WeakMap,Y0=new WeakMap,E0=new WeakMap,J0=new WeakMap,U0=new WeakMap,K0=new WeakMap,G0=new WeakMap;export{X2 as Human,X2 as default};
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