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human
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human/dist/human.esm-nobundle.js

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/*
Human library
homepage: <https://github.com/vladmandic/human>
author: <https://github.com/vladmandic>'
*/
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h=Math.trunc(200*Math.abs(s[0]-.5))/100;h>t.face.gender.minConfidence&&(n.gender=s[0]<=.5?"female":"male",n.confidence=Math.min(.99,h))}c.dispose()}i1=n,r(n)})):null}var w1={};J(w1,{load:()=>f1,predict:()=>ke});var b0=["angry","disgust","fear","happy","sad","surprise","neutral"],D,l1=[],Ne=Number.MAX_SAFE_INTEGER,d1=[.2989,.587,.114];async function f1(e){return D?e.debug&&f("cached model:",D.modelUrl):(D=await o.loadGraphModel(W(e.modelBasePath,e.face.emotion.modelPath)),!D||!D.modelUrl?f("load model failed:",e.face.emotion.modelPath):e.debug&&f("load model:",D.modelUrl)),D}async function ke(e,t){return D?Ne<t.face.emotion.skipFrames&&t.videoOptimized&&l1.length>0?(Ne++,l1):(t.videoOptimized?Ne=0:Ne=Number.MAX_SAFE_INTEGER,new Promise(async r=>{let A=o.image.resizeBilinear(e,[D.inputs[0].shape[2],D.inputs[0].shape[1]],!1),[_,c,n]=o.split(A,3,3);A.dispose();let s=o.mul(_,d1[0]),h=o.mul(c,d1[1]),a=o.mul(n,d1[2]);_.dispose(),c.dispose(),n.dispose();let 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Math.max(Math.trunc(1e3*(1-A))/1e3,0)}function g0(e){return o.tidy(()=>{let r=[[.05,.15,.85,.85]],A=e.image||e.tensor;if(!(A instanceof o.Tensor))return null;let _=A.shape.length===3?o.image.cropAndResize(o.expandDims(A,0),r,[0],[q.inputs[0].shape[2],q.inputs[0].shape[1]]):o.image.cropAndResize(A,r,[0],[q.inputs[0].shape[2],q.inputs[0].shape[1]]),c=[.2989,.587,.114],[n,s,h]=o.split(_,3,3),a=o.mul(n,c[0]),y=o.mul(s,c[1]),i=o.mul(h,c[2]),d=o.addN([a,y,i]),p=o.stack([d,d,d],3).squeeze(4),T=p.sub(p.min());return T.div(T.max())})}async function p1(e,t){return q?new Promise(async r=>{let A=[];if(t.face.embedding.enabled){let _=g0(e);if(!t.profile)A=o.tidy(()=>[...q.predict(_).reshape([128,2]).logSumExp(1).dataSync()]);else{let c=await o.profile(()=>q.predict({img_inputs:_}));A=[...c.result.dataSync()],c.result.dispose(),L("emotion",c)}o.dispose(_)}r(A)}):[]}var u1={};J(u1,{enhance:()=>T1,load:()=>b1,match:()=>ut,predict:()=>Le,similarity:()=>g1});var 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A=[[.05,.15,.85,.85]];return(r.shape.length===3?o.image.cropAndResize(o.expandDims(r,0),A,[0],[B.inputs[0].shape[2],B.inputs[0].shape[1]]):o.image.cropAndResize(r,A,[0],[B.inputs[0].shape[2],B.inputs[0].shape[1]])).mul(255)})}async function Le(e,t){return B?Oe<t.face.description.skipFrames&&t.videoOptimized&&Ie.age&&Ie.age>0?(Oe++,Ie):(t.videoOptimized?Oe=0:Oe=Number.MAX_SAFE_INTEGER,new Promise(async r=>{let A=T1(e),_,c={age:0,gender:"unknown",genderConfidence:0,descriptor:[]};if(!t.profile)t.face.description.enabled&&(_=await B.predict(A));else{let n=t.face.description.enabled?await o.profile(()=>B.predict(A)):{};_=n.result,L("faceres",n)}o.dispose(A),_&&(o.tidy(()=>{let n=_.find(i=>i.shape[1]===1).dataSync(),s=Math.trunc(200*Math.abs(n[0]-.5))/100;s>t.face.gender.minConfidence&&(c.gender=n[0]<=.5?"female":"male",c.genderConfidence=Math.min(.99,s));let h=_.find(i=>i.shape[1]===100).argMax(1).dataSync()[0],a=_.find(i=>i.shape[1]===100).dataSync();c.age=Math.round(a[h-1]>a[h+1]?10*h-100*a[h-1]:10*h+100*a[h+1])/10;let y=_.find(i=>i.shape[1]===1024);c.descriptor=[...y.dataSync()]}),_.forEach(n=>o.dispose(n))),Ie=c,r(c)})):null}var T0=(e,t)=>{let r=m=>m*180/Math.PI,A=m=>{let u=Math.sqrt(m[0]*m[0]+m[1]*m[1]+m[2]*m[2]);return m[0]/=u,m[1]/=u,m[2]/=u,m},_=(m,u)=>{let M=m[0]-u[0],z=m[1]-u[1],j=m[2]-u[2];return[M,z,j]},c=(m,u)=>{let M=m[1]*u[2]-m[2]*u[1],z=m[2]*u[0]-m[0]*u[2],j=m[0]*u[1]-m[1]*u[0];return[M,z,j]},n=m=>{let[u,M,z,j,b,l,g,E,R]=m,I,ce,X;return j<1?j>-1?(X=Math.asin(j),ce=Math.atan2(-g,u),I=Math.atan2(-l,b)):(X=-Math.PI/2,ce=-Math.atan2(E,R),I=0):(X=Math.PI/2,ce=Math.atan2(E,R),I=0),{pitch:2*-I,yaw:2*-ce,roll:2*-X}},s=m=>{let u=(z,j,b,l)=>Math.atan2(l-j,b-z);return{pitch:u(m[10][1],m[10][2],m[152][1],m[152][2]),yaw:u(m[33][0],m[33][2],m[263][0],m[263][2]),roll:u(m[33][0],m[33][1],m[263][0],m[263][1])}},h=e.meshRaw;if(!h||h.length<300)return{angle:{pitch:0,yaw:0,roll:0},matrix:[1,0,0,0,1,0,0,0,1]};let a=Math.max(e.boxRaw[2]*t[0],e.boxRaw[3]*t[1])/1.5,y=[h[10],h[152],h[234],h[454]].map(m=>[m[0]*t[0]/a,m[1]*t[1]/a,m[2]]),i=A(_(y[1],y[0])),d=A(_(y[3],y[2])),p=A(c(d,i));d=c(i,p);let T=[d[0],d[1],d[2],i[0],i[1],i[2],p[0],p[1],p[2]];return{angle:n(T),matrix:T}},P1=async(e,t)=>{var y,i,d,p,T,x,m;let r,A,_,c,n,s,h=[];e.state="run:face",r=v();let a=await((y=e.models.face)==null?void 0:y.estimateFaces(t,e.config));if(e.perf.face=Math.trunc(v()-r),!a)return[];for(let u of a){if(e.analyze("Get Face"),!u.image||u.image.isDisposedInternal){f("Face object is disposed:",u.image);continue}let M=T0(u,[t.shape[2],t.shape[1]]);e.analyze("Start Age:"),e.config.async?A=e.config.face.age.enabled?je(u.image,e.config):{}:(e.state="run:age",r=v(),A=e.config.face.age.enabled?await je(u.image,e.config):{},e.perf.age=Math.trunc(v()-r)),e.analyze("Start Gender:"),e.config.async?_=e.config.face.gender.enabled?We(u.image,e.config):{}:(e.state="run:gender",r=v(),_=e.config.face.gender.enabled?await We(u.image,e.config):{},e.perf.gender=Math.trunc(v()-r)),e.analyze("Start Emotion:"),e.config.async?c=e.config.face.emotion.enabled?ke(u.image,e.config):{}:(e.state="run:emotion",r=v(),c=e.config.face.emotion.enabled?await ke(u.image,e.config):{},e.perf.emotion=Math.trunc(v()-r)),e.analyze("End Emotion:"),e.analyze("Start Embedding:"),e.config.async?n=e.config.face.embedding.enabled?p1(u,e.config):[]:(e.state="run:embedding",r=v(),n=e.config.face.embedding.enabled?await p1(u,e.config):[],e.perf.embedding=Math.trunc(v()-r)),e.analyze("End Embedding:"),e.analyze("Start Description:"),e.config.async?s=e.config.face.description.enabled?Le(u,e.config):[]:(e.state="run:description",r=v(),s=e.config.face.description.enabled?await Le(u.image,e.config):[],e.perf.embedding=Math.trunc(v()-r)),e.analyze("End Description:"),e.config.async&&([A,_,c,n,s]=await Promise.all([A,_,c,n,s])),e.analyze("Finish Face:"),!e.config.face.iris.enabled&&((i=u==null?void 0:u.annotations)==null?void 0:i.leftEyeIris)&&((d=u==null?void 0:u.annotations)==null?void 0:d.rightEyeIris)&&(delete u.annotations.leftEyeIris,delete u.annotations.rightEyeIris);let z=((p=u.annotations)==null?void 0:p.leftEyeIris)&&((T=u.annotations)==null?void 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R0=[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],j0=[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],S0=[33,133,362,263,1,78,308],Yn=R0.map(e=>fe[e]),Jn=j0.map(e=>fe[e]),Cn=S0.map(e=>fe[e]);var E1=Q.leftEyeLower0,v1=Q.rightEyeLower0,ye={leftBounds:[E1[0],E1[E1.length-1]],rightBounds:[v1[0],v1[v1.length-1]]},Fe={count:468,mouth:13,symmetryLine:[13,Q.midwayBetweenEyes[0]]},Rt={leftEye:0,rightEye:1,nose:2,mouth:3,leftEar:4,rightEar:5,symmetryLine:[3,2]},we={upperCenter:3,lowerCenter:4,index:71,numCoordinates:76};function qe(e,t,r,A){for(let _=0;_<z1.length;_++){let{key:c,indices:n}=z1[_],s=Q[`${r}${c}`];if(!A||A.includes(c))for(let h=0;h<n.length;h++){let a=n[h];e[s[h]]=[t[a][0],t[a][1],(t[a][2]+e[s[h]][2])/2]}}}var R1=class{constructor(t,r,A){var _,c;this.storedBoxes=[],this.boundingBoxDetector=t,this.meshDetector=r,this.irisModel=A,this.boxSize=((_=t==null?void 0:t.model)==null?void 0:_.inputs[0].shape[2])||0,this.meshSize=(r==null?void 0:r.inputs[0].shape[2])||((c=t==null?void 0:t.model)==null?void 0:c.inputs[0].shape[2]),this.irisSize=(A==null?void 0:A.inputs[0].shape[1])||0,this.irisEnlarge=2.3,this.skipped=0,this.detectedFaces=0}transformRawCoords(t,r,A,_){let c=de({startPoint:r.startPoint,endPoint:r.endPoint}),n=t.map(i=>[c[0]/this.meshSize*(i[0]-this.meshSize/2),c[1]/this.meshSize*(i[1]-this.meshSize/2),i[2]]),s=A!==0?Xe(A,[0,0]):Ve,h=A!==0?n.map(i=>[...vt(i,s),i[2]]):n,a=A!==0?Et(_):Ve,y=[...ae({startPoint:r.startPoint,endPoint:r.endPoint}),1];return h.map(i=>[i[0]+te(y,a[0]),i[1]+te(y,a[1]),i[2]])}getLeftToRightEyeDepthDifference(t){let r=t[ye.leftBounds[0]][2],A=t[ye.rightBounds[0]][2];return r-A}getEyeBox(t,r,A,_,c=!1){let n=He(Ze(this.calculateLandmarksBoundingBox([t[A],t[_]]),this.irisEnlarge)),s=de(n),h=o.image.cropAndResize(r,[[n.startPoint[1]/this.meshSize,n.startPoint[0]/this.meshSize,n.endPoint[1]/this.meshSize,n.endPoint[0]/this.meshSize]],[0],[this.irisSize,this.irisSize]);return c&&o.ENV.flags.IS_BROWSER&&(h=o.image.flipLeftRight(h)),{box:n,boxSize:s,crop:h}}getEyeCoords(t,r,A,_=!1){let c=[];for(let n=0;n<we.numCoordinates;n++){let s=t[n*3],h=t[n*3+1],a=t[n*3+2];c.push([(_?1-s/this.irisSize:s/this.irisSize)*A[0]+r.startPoint[0],h/this.irisSize*A[1]+r.startPoint[1],a])}return{rawCoords:c,iris:c.slice(we.index)}}getAdjustedIrisCoords(t,r,A){let _=t[Q[`${A}EyeUpper0`][we.upperCenter]][2],c=t[Q[`${A}EyeLower0`][we.lowerCenter]][2],n=(_+c)/2;return r.map((s,h)=>{let a=n;return h===2?a=_:h===4&&(a=c),[s[0],s[1],a]})}async predict(t,r){let A=!1,_;if((this.skipped===0||this.skipped>r.face.detector.skipFrames||!r.face.mesh.enabled||!r.videoOptimized)&&(_=await this.boundingBoxDetector.getBoundingBoxes(t),this.skipped=0),r.videoOptimized&&this.skipped++,!r.videoOptimized||_&&_.boxes&&(!r.face.mesh.enabled||_.boxes.length!==this.detectedFaces&&this.detectedFaces!==r.face.detector.maxFaces)){this.storedBoxes=[],this.detectedFaces=0;for(let n of _.boxes)this.storedBoxes.push({startPoint:n.box.startPoint.dataSync(),endPoint:n.box.endPoint.dataSync(),landmarks:n.landmarks,confidence:n.confidence});this.storedBoxes.length>0&&(A=!0)}if(r.face.detector.skipInitial&&this.detectedFaces===0&&(this.skipped=0),A){if(!_||!_.boxes||_.boxes.length===0)return this.storedBoxes=[],this.detectedFaces=0,null;for(let n=0;n<this.storedBoxes.length;n++){let s=Pt({startPoint:this.storedBoxes[n].startPoint,endPoint:this.storedBoxes[n].endPoint},_.scaleFactor),h=Ze(s),a=He(h),y=this.storedBoxes[n].landmarks.arraySync(),i=this.storedBoxes[n].confidence;this.storedBoxes[n]={...a,confidence:i,landmarks:y}}}_&&_.boxes&&_.boxes.forEach(n=>{n.box.startPoint.dispose(),n.box.endPoint.dispose(),n.landmarks.dispose()});let c=o.tidy(()=>this.storedBoxes.map((n,s)=>{let h=n.confidence,a,y=0,i;if(r.face.detector.rotation&&r.face.mesh.enabled&&o.ENV.flags.IS_BROWSER){let[b,l]=n.landmarks.length>=Fe.count?Fe.symmetryLine:Rt.symmetryLine;y=M1(n.landmarks[b],n.landmarks[l]);let g=ae({startPoint:n.startPoint,endPoint:n.endPoint}),E=[g[0]/t.shape[2],g[1]/t.shape[1]],R=o.image.rotateWithOffset(t,y,0,E);i=Xe(-y,g),r.face.mesh.enabled?a=xe({startPoint:n.startPoint,endPoint:n.endPoint},R,[this.meshSize,this.meshSize]).div(255):a=xe({startPoint:n.startPoint,endPoint:n.endPoint},R,[this.boxSize,this.boxSize]).div(255)}else{i=Ve;let b=t.clone();r.face.mesh.enabled?a=xe({startPoint:n.startPoint,endPoint:n.endPoint},b,[this.meshSize,this.meshSize]).div(255):a=xe({startPoint:n.startPoint,endPoint:n.endPoint},b,[this.boxSize,this.boxSize]).div(255)}if(!r.face.mesh.enabled)return{coords:null,box:n,faceConfidence:null,boxConfidence:h,confidence:n.confidence,image:a};let[,d,p]=this.meshDetector.predict(a),T=d.dataSync()[0];if(T<r.face.detector.minConfidence)return null;let m=o.reshape(p,[-1,3]).arraySync();if(r.face.iris.enabled){let{box:b,boxSize:l,crop:g}=this.getEyeBox(m,a,ye.leftBounds[0],ye.leftBounds[1],!0),{box:E,boxSize:R,crop:I}=this.getEyeBox(m,a,ye.rightBounds[0],ye.rightBounds[1]),X=this.irisModel.predict(o.concat([g,I])).dataSync(),_1=X.slice(0,we.numCoordinates*3),{rawCoords:ze,iris:Ae}=this.getEyeCoords(_1,b,l,!0),h0=X.slice(we.numCoordinates*3),{rawCoords:st,iris:i0}=this.getEyeCoords(h0,E,R),ht=this.getLeftToRightEyeDepthDifference(m);Math.abs(ht)<30?(qe(m,ze,"left",null),qe(m,st,"right",null)):ht<1?qe(m,ze,"left",["EyeUpper0","EyeLower0"]):qe(m,st,"right",["EyeUpper0","EyeLower0"]);let a0=this.getAdjustedIrisCoords(m,Ae,"left"),x0=this.getAdjustedIrisCoords(m,i0,"right");m=m.concat(a0).concat(x0)}let u=this.transformRawCoords(m,n,y,i);n=Ze(this.calculateLandmarksBoundingBox(u),1.5);let M=o.tensor2d(u);if(r.face.detector.rotation&&r.face.mesh.enabled&&(r.face.description.enabled||r.face.embedding.enabled)&&o.ENV.flags.IS_BROWSER){let[b,l]=n.landmarks.length>=Fe.count?Fe.symmetryLine:Rt.symmetryLine;y=M1(n.landmarks[b],n.landmarks[l]);let g=ae({startPoint:n.startPoint,endPoint:n.endPoint}),E=[g[0]/t.shape[2],g[1]/t.shape[1]],R=o.image.rotateWithOffset(t.toFloat(),y,0,E);i=Xe(-y,g),a=xe({startPoint:n.startPoint,endPoint:n.endPoint},R,[this.meshSize,this.meshSize]).div(255)}let z={coords:M,box:n,faceConfidence:T,boxConfidence:h,image:a,rawCoords:m},j=He(n);return this.storedBoxes[s]={...j,landmarks:u,confidence:n.confidence,faceConfidence:T},z}));return c=c.filter(n=>n!==null),r.face.mesh.enabled&&(this.storedBoxes=this.storedBoxes.filter(n=>n.faceConfidence>r.face.detector.minConfidence)),this.detectedFaces=c.length,c}calculateLandmarksBoundingBox(t){let r=t.map(n=>n[0]),A=t.map(n=>n[1]),_=[Math.min(...r),Math.min(...A)],c=[Math.max(...r),Math.max(...A)];return{startPoint:_,endPoint:c,landmarks:t}}};var S1=class{constructor(t,r,A,_){this.facePipeline=new R1(t,r,A),this.config=_}async estimateFaces(t,r){let A=await this.facePipeline.predict(t,r),_=[];for(let c of A||[]){if(c.isDisposedInternal)continue;let n=c.coords?c.coords.arraySync():[],s=n.map(i=>[i[0]/t.shape[2],i[1]/t.shape[1],i[2]/this.facePipeline.meshSize]),h={};if(n&&n.length>0)for(let i of Object.keys(Q))h[i]=Q[i].map(d=>n[d]);let a=c.box?[Math.max(0,c.box.startPoint[0]),Math.max(0,c.box.startPoint[1]),Math.min(t.shape[2],c.box.endPoint[0])-Math.max(0,c.box.startPoint[0]),Math.min(t.shape[1],c.box.endPoint[1])-Math.max(0,c.box.startPoint[1])]:0,y=c.box?[c.box.startPoint[0]/t.shape[2],c.box.startPoint[1]/t.shape[1],(c.box.endPoint[0]-c.box.startPoint[0])/t.shape[2],(c.box.endPoint[1]-c.box.startPoint[1])/t.shape[1]]:[];_.push({confidence:Math.round(100*c.faceConfidence||100*c.boxConfidence||0)/100,boxConfidence:Math.round(100*c.boxConfidence)/100,faceConfidence:Math.round(100*c.faceConfidence)/100,box:a,boxRaw:y,mesh:n,meshRaw:s,annotations:h,image:c.image?c.image.clone():null}),c.coords&&c.coords.dispose(),c.image&&c.image.dispose()}return _}},O=[null,null,null];async function W1(e){return!O[0]&&e.face.enabled||!O[1]&&e.face.mesh.enabled||!O[2]&&e.face.iris.enabled?(O=await Promise.all([!O[0]&&e.face.enabled?Tt(e):null,!O[1]&&e.face.mesh.enabled?o.loadGraphModel(W(e.modelBasePath,e.face.mesh.modelPath),{fromTFHub:e.face.mesh.modelPath.includes("tfhub.dev")}):null,!O[2]&&e.face.iris.enabled?o.loadGraphModel(W(e.modelBasePath,e.face.iris.modelPath),{fromTFHub:e.face.iris.modelPath.includes("tfhub.dev")}):null]),e.face.mesh.enabled&&(!O[1]||!O[1].modelUrl?f("load model failed:",e.face.mesh.modelPath):e.debug&&f("load model:",O[1].modelUrl)),e.face.iris.enabled&&(!O[2]||!O[1].modelUrl?f("load model failed:",e.face.iris.modelPath):e.debug&&f("load model:",O[2].modelUrl))):e.debug&&(f("cached model:",O[0].model.modelUrl),f("cached model:",O[1].modelUrl),f("cached model:",O[2].modelUrl)),new S1(O[0],O[1],O[2],e)}var jt=oe,St=fe;var Z1={};J(Z1,{load:()=>V1,predict:()=>H1});var me=["nose","leftEye","rightEye","leftEar","rightEar","leftShoulder","rightShoulder","leftElbow","rightElbow","leftWrist","rightWrist","leftHip","rightHip","leftKnee","rightKnee","leftAnkle","rightAnkle"],Wt=me.length,pe=me.reduce((e,t,r)=>(e[t]=r,e),{}),W0=[["leftHip","leftShoulder"],["leftElbow","leftShoulder"],["leftElbow","leftWrist"],["leftHip","leftKnee"],["leftKnee","leftAnkle"],["rightHip","rightShoulder"],["rightElbow","rightShoulder"],["rightElbow","rightWrist"],["rightHip","rightKnee"],["rightKnee","rightAnkle"],["leftShoulder","rightShoulder"],["leftHip","rightHip"]],N0=W0.map(([e,t])=>[pe[e],pe[t]]),Nt=[["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 kt(e){let t=e.reduce(({maxX:r,maxY:A,minX:_,minY:c},{position:{x:n,y:s}})=>({maxX:Math.max(r,n),maxY:Math.max(A,s),minX:Math.min(_,n),minY:Math.min(c,s)}),{maxX:Number.NEGATIVE_INFINITY,maxY:Number.NEGATIVE_INFINITY,minX:Number.POSITIVE_INFINITY,minY:Number.POSITIVE_INFINITY});return[t.minX,t.minY,t.maxX-t.minX,t.maxY-t.minY]}function It(e,[t,r],[A,_]){let c=(s,h,a)=>({score:s.score,box:[Math.trunc(s.box[0]*a),Math.trunc(s.box[1]*h),Math.trunc(s.box[2]*a),Math.trunc(s.box[3]*h)],keypoints:s.keypoints.map(({score:y,part:i,position:d})=>({score:y,part:i,position:{x:Math.trunc(d.x*a),y:Math.trunc(d.y*h)}}))});return e.map(s=>c(s,t/A,r/_))}var N1=class{constructor(t,r){this.priorityQueue=new Array(t),this.numberOfElements=-1,this.getElementValue=r}enqueue(t){this.priorityQueue[++this.numberOfElements]=t,this.swim(this.numberOfElements)}dequeue(){let t=this.priorityQueue[0];return this.exchange(0,this.numberOfElements--),this.sink(0),this.priorityQueue[this.numberOfElements+1]=null,t}empty(){return this.numberOfElements===-1}size(){return this.numberOfElements+1}all(){return this.priorityQueue.slice(0,this.numberOfElements+1)}max(){return this.priorityQueue[0]}swim(t){for(;t>0&&this.less(Math.floor(t/2),t);)this.exchange(t,Math.floor(t/2)),t=Math.floor(t/2)}sink(t){for(;2*t<=this.numberOfElements;){let r=2*t;if(r<this.numberOfElements&&this.less(r,r+1)&&r++,!this.less(t,r))break;this.exchange(t,r),t=r}}getValueAt(t){return this.getElementValue(this.priorityQueue[t])}less(t,r){return this.getValueAt(t)<this.getValueAt(r)}exchange(t,r){let A=this.priorityQueue[t];this.priorityQueue[t]=this.priorityQueue[r],this.priorityQueue[r]=A}};function k1(e,t,r,A){return{y:A.get(e,t,r),x:A.get(e,t,r+Wt)}}function I1(e,t,r){let{heatmapY:A,heatmapX:_,id:c}=e,{y:n,x:s}=k1(A,_,c,r);return{x:e.heatmapX*t+s,y:e.heatmapY*t+n}}function O1(e,t,r){return e<t?t:e>r?r:e}function Ot(e,t,r,A){let _=r-e,c=A-t;return _*_+c*c}function L1(e,t){return{x:e.x+t.x,y:e.y+t.y}}var Be=1,Lt=16;function Zt(e,t,r,A,_,c,n,s=2){let h=M=>({y:n.get(M.y,M.x,e),x:n.get(M.y,M.x,n.shape[2]/2+e)}),a=(M,z,j)=>({y:O1(Math.round(M.y/c),0,z-1),x:O1(Math.round(M.x/c),0,j-1)}),[y,i]=A.shape,d=a(t.position,y,i),p=h(d),x=L1(t.position,p);for(let M=0;M<s;M++){let z=a(x,y,i),j=k1(z.y,z.x,r,_);x=L1({x:z.x*c,y:z.y*c},{x:j.x,y:j.y})}let m=a(x,y,i),u=A.get(m.y,m.x,r);return{position:x,part:me[r],score:u}}function k0(e,t,r,A,_,c){let n=Nt.map(([x,m])=>[pe[x],pe[m]]),s=n.map(([,x])=>x),h=n.map(([x])=>x),a=t.shape[2],y=s.length,i=new Array(a),{part:d,score:p}=e,T=I1(d,A,r);i[d.id]={score:p,part:me[d.id],position:T};for(let x=y-1;x>=0;--x){let m=s[x],u=h[x];i[m]&&!i[u]&&(i[u]=Zt(x,i[m],u,t,r,A,c))}for(let x=0;x<y;++x){let m=h[x],u=s[x];i[m]&&!i[u]&&(i[u]=Zt(x,i[m],u,t,r,A,_))}return i}function I0(e,t,r,A,_){let[c,n]=_.shape,s=!0,h=Math.max(r-Be,0),a=Math.min(r+Be+1,c);for(let y=h;y<a;++y){let i=Math.max(A-Be,0),d=Math.min(A+Be+1,n);for(let p=i;p<d;++p)if(_.get(y,p,e)>t){s=!1;break}if(!s)break}return s}function O0(e,t){let[r,A,_]=t.shape,c=new N1(r*A*_,({score:n})=>n);for(let n=0;n<r;++n)for(let s=0;s<A;++s)for(let h=0;h<_;++h){let a=t.get(n,s,h);a<e||I0(h,a,n,s,t)&&c.enqueue({score:a,part:{heatmapY:n,heatmapX:s,id:h}})}return c}function Ht(e,t,{x:r,y:A},_){return e.some(({keypoints:c})=>{let n=c[_].position;return Ot(A,r,n.y,n.x)<=t})}function L0(e,t,r){return r.reduce((_,{position:c,score:n},s)=>(Ht(e,t,c,s)||(_+=n),_),0)/r.length}function Vt(e,t,r,A,_,c,n){let s=[],h=O0(n,t),a=_**2;for(;s.length<c&&!h.empty();){let y=h.dequeue(),i=I1(y.part,Lt,e);if(Ht(s,a,i,y.part.id))continue;let p=k0(y,t,e,Lt,r,A).filter(m=>m.score>n),T=L0(s,a,p),x=kt(p);T>n&&s.push({keypoints:p,box:x,score:Math.round(100*T)/100})}return s}var G,Z0=["MobilenetV1/offset_2/BiasAdd","MobilenetV1/heatmap_2/BiasAdd","MobilenetV1/displacement_fwd_2/BiasAdd","MobilenetV1/displacement_bwd_2/BiasAdd"];async function H1(e,t){let r=o.tidy(()=>{let s=e.resizeBilinear([G.inputs[0].shape[2],G.inputs[0].shape[1]]).toFloat().div(127.5).sub(1),a=G.execute(s,Z0).map(y=>y.squeeze([0]));return a[1]=a[1].sigmoid(),a}),A=await Promise.all(r.map(n=>n.buffer()));for(let n of r)n.dispose();let _=await Vt(A[0],A[1],A[2],A[3],t.body.nmsRadius,t.body.maxDetections,t.body.scoreThreshold);return It(_,[e.shape[1],e.shape[2]],[G.inputs[0].shape[2],G.inputs[0].shape[1]])}async function V1(e){return G?e.debug&&f("cached model:",G.modelUrl):(G=await o.loadGraphModel(W(e.modelBasePath,e.body.modelPath)),!G||!G.modelUrl?f("load model failed:",e.body.modelPath):e.debug&&f("load model:",G.modelUrl)),G}var U1={};J(U1,{HandPose:()=>J1,load:()=>C1});function Ue(e){return[Math.abs(e.endPoint[0]-e.startPoint[0]),Math.abs(e.endPoint[1]-e.startPoint[1])]}function ue(e){return[e.startPoint[0]+(e.endPoint[0]-e.startPoint[0])/2,e.startPoint[1]+(e.endPoint[1]-e.startPoint[1])/2]}function Xt(e,t,r){let A=t.shape[1],_=t.shape[2],c=[[e.startPoint[1]/A,e.startPoint[0]/_,e.endPoint[1]/A,e.endPoint[0]/_]];return o.image.cropAndResize(t,c,[0],r)}function Ft(e,t){let r=[e.startPoint[0]*t[0],e.startPoint[1]*t[1]],A=[e.endPoint[0]*t[0],e.endPoint[1]*t[1]],_=e.palmLandmarks.map(c=>[c[0]*t[0],c[1]*t[1]]);return{startPoint:r,endPoint:A,palmLandmarks:_,confidence:e.confidence}}function Ye(e,t=1.5){let r=ue(e),A=Ue(e),_=[t*A[0]/2,t*A[1]/2],c=[r[0]-_[0],r[1]-_[1]],n=[r[0]+_[0],r[1]+_[1]];return{startPoint:c,endPoint:n,palmLandmarks:e.palmLandmarks}}function Je(e){let t=ue(e),r=Ue(e),_=Math.max(...r)/2,c=[t[0]-_,t[1]-_],n=[t[0]+_,t[1]+_];return{startPoint:c,endPoint:n,palmLandmarks:e.palmLandmarks}}var X1=class{constructor(t,r,A){this.model=t,this.anchors=A.map(_=>[_.x_center,_.y_center]),this.anchorsTensor=o.tensor2d(this.anchors),this.inputSize=r,this.inputSizeTensor=o.tensor1d([r,r]),this.doubleInputSizeTensor=o.tensor1d([r*2,r*2])}normalizeBoxes(t){return o.tidy(()=>{let r=o.slice(t,[0,0],[-1,2]),A=o.slice(t,[0,2],[-1,2]),_=o.add(o.div(r,this.inputSizeTensor),this.anchorsTensor),c=o.div(A,this.doubleInputSizeTensor),n=o.mul(o.sub(_,c),this.inputSizeTensor),s=o.mul(o.add(_,c),this.inputSizeTensor);return o.concat2d([n,s],1)})}normalizeLandmarks(t,r){return o.tidy(()=>{let A=o.add(o.div(t.reshape([-1,7,2]),this.inputSizeTensor),this.anchors[r]);return o.mul(A,this.inputSizeTensor)})}async getBoxes(t,r){let A=this.model.predict(t),_=A.squeeze();A.dispose();let c=o.tidy(()=>o.sigmoid(o.slice(_,[0,0],[-1,1])).squeeze()),n=c.dataSync(),s=o.slice(_,[0,1],[-1,4]),h=this.normalizeBoxes(s);s.dispose();let a=await o.image.nonMaxSuppressionAsync(h,n,r.hand.maxHands,r.hand.iouThreshold,r.hand.scoreThreshold),y=a.arraySync();c.dispose(),a.dispose();let i=[];for(let d of y)if(n[d]>=r.hand.minConfidence){let p=o.slice(h,[d,0],[1,-1]),T=o.slice(_,[d,5],[1,14]),x=o.tidy(()=>this.normalizeLandmarks(T,d).reshape([-1,2]));T.dispose(),i.push({box:p,palmLandmarks:x,confidence:n[d]})}return _.dispose(),h.dispose(),i}async estimateHandBounds(t,r){let A=t.shape[1],_=t.shape[2],c=o.tidy(()=>t.resizeBilinear([this.inputSize,this.inputSize]).div(127.5).sub(1)),n=await this.getBoxes(c,r);c.dispose();let s=[];if(!n||n.length===0)return s;for(let h of n){let a=h.box.dataSync(),y=a.slice(0,2),i=a.slice(2,4),d=h.palmLandmarks.arraySync();h.box.dispose(),h.palmLandmarks.dispose(),s.push(Ft({startPoint:y,endPoint:i,palmLandmarks:d,confidence:h.confidence},[_/this.inputSize,A/this.inputSize]))}return s}};function H0(e){return e-2*Math.PI*Math.floor((e+Math.PI)/(2*Math.PI))}function qt(e,t){let r=Math.PI/2-Math.atan2(-(t[1]-e[1]),t[0]-e[0]);return H0(r)}var Bt=(e,t)=>[[1,0,e],[0,1,t],[0,0,1]];function ne(e,t){let r=0;for(let A=0;A<e.length;A++)r+=e[A]*t[A];return r}function V0(e,t){let r=[];for(let A=0;A<e.length;A++)r.push(e[A][t]);return r}function Ut(e,t){let r=[],A=e.length;for(let _=0;_<A;_++){r.push([]);for(let c=0;c<A;c++)r[_].push(ne(e[_],V0(t,c)))}return r}function F1(e,t){let r=Math.cos(e),A=Math.sin(e),_=[[r,-A,0],[A,r,0],[0,0,1]],c=Bt(t[0],t[1]),n=Ut(c,_),s=Bt(-t[0],-t[1]);return Ut(n,s)}function Yt(e){let t=[[e[0][0],e[1][0]],[e[0][1],e[1][1]]],r=[e[0][2],e[1][2]],A=[-ne(t[0],r),-ne(t[1],r)];return[t[0].concat(A[0]),t[1].concat(A[1]),[0,0,1]]}function q1(e,t){return[ne(e,t[0]),ne(e,t[1])]}var X0=5,Jt=1.65,Ct=[0,5,9,13,17,1,2],F0=0,q0=2,B1=class{constructor(t,r,A){this.handDetector=t,this.landmarkDetector=r,this.inputSize=A,this.storedBoxes=[],this.skipped=0,this.detectedHands=0}getBoxForPalmLandmarks(t,r){let A=t.map(c=>q1([...c,1],r)),_=this.calculateLandmarksBoundingBox(A);return Ye(Je(_),X0)}getBoxForHandLandmarks(t){let r=this.calculateLandmarksBoundingBox(t),A=Ye(Je(r),Jt);A.palmLandmarks=[];for(let _=0;_<Ct.length;_++)A.palmLandmarks.push(t[Ct[_]].slice(0,2));return A}transformRawCoords(t,r,A,_){let c=Ue(r),n=[c[0]/this.inputSize,c[1]/this.inputSize,(c[0]+c[1])/this.inputSize/2],s=t.map(p=>[n[0]*(p[0]-this.inputSize/2),n[1]*(p[1]-this.inputSize/2),n[2]*p[2]]),h=F1(A,[0,0]),a=s.map(p=>[...q1(p,h),p[2]]),y=Yt(_),i=[...ue(r),1],d=[ne(i,y[0]),ne(i,y[1])];return a.map(p=>[p[0]+d[0],p[1]+d[1],p[2]])}async estimateHands(t,r){let A=!1,_;(this.skipped===0||this.skipped>r.hand.skipFrames||!r.hand.landmarks||!r.videoOptimized)&&(_=await this.handDetector.estimateHandBounds(t,r),this.skipped=0),r.videoOptimized&&this.skipped++,_&&_.length>0&&(_.length!==this.detectedHands&&this.detectedHands!==r.hand.maxHands||!r.hand.landmarks)&&(this.detectedHands=0,this.storedBoxes=[..._],this.storedBoxes.length>0&&(A=!0));let c=[];r.hand.skipInitial&&this.detectedHands===0&&(this.skipped=0);for(let n=0;n<this.storedBoxes.length;n++){let s=this.storedBoxes[n];if(!!s)if(r.hand.landmarks){let h=r.hand.rotation?qt(s.palmLandmarks[F0],s.palmLandmarks[q0]):0,a=ue(s),y=[a[0]/t.shape[2],a[1]/t.shape[1]],i=r.hand.rotation?o.image.rotateWithOffset(t,h,0,y):t.clone(),d=F1(-h,a),p=A?this.getBoxForPalmLandmarks(s.palmLandmarks,d):s,T=Xt(p,i,[this.inputSize,this.inputSize]),x=T.div(255);T.dispose(),i.dispose();let[m,u]=await this.landmarkDetector.predict(x);x.dispose();let M=m.dataSync()[0];if(m.dispose(),M>=r.hand.minConfidence){let z=o.reshape(u,[-1,3]),j=z.arraySync();u.dispose(),z.dispose();let b=this.transformRawCoords(j,p,h,d),l=this.getBoxForHandLandmarks(b);this.storedBoxes[n]=l;let g={landmarks:b,confidence:M,box:{topLeft:l.startPoint,bottomRight:l.endPoint}};c.push(g)}else this.storedBoxes[n]=null;u.dispose()}else{let h=Ye(Je(s),Jt),a={confidence:s.confidence,box:{topLeft:h.startPoint,bottomRight:h.endPoint}};c.push(a)}}return this.storedBoxes=this.storedBoxes.filter(n=>n!==null),this.detectedHands=c.length,c}calculateLandmarksBoundingBox(t){let r=t.map(n=>n[0]),A=t.map(n=>n[1]),_=[Math.min(...r),Math.min(...A)],c=[Math.max(...r),Math.max(...A)];return{startPoint:_,endPoint:c}}};var 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Dt=["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"],Gt=["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 Z;async function D1(e){return Z?e.debug&&f("cached model:",Z.modelUrl):(Z=await o.loadGraphModel(W(e.modelBasePath,e.body.modelPath)),Z.width=parseInt(Z.signature.inputs["input_1:0"].tensorShape.dim[2].size),Z.height=parseInt(Z.signature.inputs["input_1:0"].tensorShape.dim[1].size),!Z||!Z.modelUrl?f("load model failed:",e.body.modelPath):e.debug&&f("load model:",Z.modelUrl)),Z}async function G1(e,t){if(!Z||!t.body.enabled)return null;let r={width:e.shape[2],height:e.shape[1]},A=o.image.resizeBilinear(e,[Z.width,Z.height],!1),_=o.div(A,[255]);A.dispose();let c;if(t.profile){let y=await o.profile(()=>Z.predict(_));c=y.result.find(i=>i.size===195||i.size===155).dataSync(),y.result.forEach(i=>i.dispose()),L("blazepose",y)}else{let y=await Z.predict(_);c=y.find(i=>i.size===195||i.size===155).dataSync(),y.forEach(i=>i.dispose())}_.dispose();let n=[],s=c.length===195?Dt:Gt,h=5;for(let 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2Q==`;var s0="1.6.1";var le,Te,Pe,ie,n1,Me,r1,c1,A1,G0=class{constructor(t={}){le.set(this,void 0);Te.set(this,void 0);Pe.set(this,void 0);ie.set(this,void 0);this.analyze=(...t)=>{if(!C(this,Te))return;let r=this.tf.engine().state.numTensors,A=C(this,le);_e(this,le,r);let _=r-A;_!==0&&f(...t,_)};n1.set(this,t=>{if(!C(this,Pe))return null;if(!t)return"input is not defined";if(this.tf.ENV.flags.IS_NODE&&!(t instanceof o.Tensor))return"input must be a tensor";try{this.tf.getBackend()}catch(r){return"backend not loaded"}return null});Me.set(this,async(t=!1)=>{var r;if(this.config.backend&&this.config.backend.length>0&&t||this.tf.getBackend()!==this.config.backend){let A=v();if(this.state="backend",this.config.backend&&this.config.backend.length>0){if(this.tf.ENV.flags.IS_BROWSER&&this.config.backend==="tensorflow"&&(this.config.backend="webgl"),this.tf.ENV.flags.IS_NODE&&(this.config.backend==="webgl"||this.config.backend==="humangl")&&(this.config.backend="tensorflow"),this.config.debug&&f("setting backend:",this.config.backend),this.config.backend==="wasm"){if(this.config.debug&&f("wasm path:",this.config.wasmPath),typeof((r=this.tf)==null?void 0:r.setWasmPaths)!="undefined")this.tf.setWasmPaths(this.config.wasmPath);else throw new Error("Human: WASM backend is not loaded");let _=await this.tf.env().getAsync("WASM_HAS_SIMD_SUPPORT"),c=await this.tf.env().getAsync("WASM_HAS_MULTITHREAD_SUPPORT");this.config.debug&&f(`wasm execution: ${_?"SIMD":"no SIMD"} ${c?"multithreaded":"singlethreaded"}`),this.config.debug&&!_&&f("warning: wasm simd support is not enabled")}this.config.backend==="humangl"&&mt();try{await this.tf.setBackend(this.config.backend)}catch(_){f("error: cannot set backend:",this.config.backend,_)}}if(this.tf.enableProdMode(),this.tf.getBackend()==="webgl"||this.tf.getBackend()==="humangl"){this.tf.ENV.set("CHECK_COMPUTATION_FOR_ERRORS",!1),this.tf.ENV.set("WEBGL_PACK_DEPTHWISECONV",!0),this.config.deallocate&&(f("changing webgl: WEBGL_DELETE_TEXTURE_THRESHOLD:",this.config.deallocate),this.tf.ENV.set("WEBGL_DELETE_TEXTURE_THRESHOLD",this.config.deallocate?0:-1));let _=await this.tf.backend().getGPGPUContext().gl;this.config.debug&&f(`gl version:${_.getParameter(_.VERSION)} renderer:${_.getParameter(_.RENDERER)}`)}await this.tf.ready(),this.perf.backend=Math.trunc(v()-A)}});r1.set(this,async()=>{let t=(_,c="application/octet-stream")=>fetch(`data:${c};base64,${_}`).then(n=>n.blob()),r,A;switch(this.config.warmup){case"face":r=await t(e1);break;case"full":r=await t(t1);break;default:r=null}if(r){let _=await createImageBitmap(r);A=await this.detect(_,this.config),_.close()}return A});c1.set(this,async()=>new Promise(t=>{let r,A=0;switch(this.config.warmup){case"face":A=256,r="data:image/jpeg;base64,"+e1;break;case"full":case"body":A=1200,r="data:image/jpeg;base64,"+t1;break;default:r=null}let _=new Image;_.onload=async()=>{let c=typeof OffscreenCanvas!="undefined"?new OffscreenCanvas(A,A):document.createElement("canvas");c.width=_.naturalWidth,c.height=_.naturalHeight;let n=c.getContext("2d");n==null||n.drawImage(_,0,0);let s=await this.detect(c,this.config);t(s)},r?_.src=r:t(null)}));A1.set(this,async()=>{let t=_=>Buffer.from(_,"base64"),r;if(this.config.warmup==="face"&&(r=t(e1)),(this.config.warmup==="body"||this.config.warmup==="full")&&(r=t(t1)),!r)return null;let A;if(typeof o.node!="undefined"){let _=o.node.decodeJpeg(r),c=_.expandDims(0);this.tf.dispose(_),A=await this.detect(c,this.config),this.tf.dispose(c)}else this.config.debug&&f("Warmup tfjs-node not loaded");return A});this.tf=o,this.draw=_t,this.version=s0,this.config=U(S,t),this.state="idle",_e(this,le,0),_e(this,Te,!1),_e(this,Pe,!1),_e(this,ie,!0),this.perf={},this.models={face:null,posenet:null,blazepose:null,efficientpose:null,handpose:null,iris:null,age:null,gender:null,emotion:null,embedding:null,nanodet:null,faceres:null},this.image=r=>At(r,this.config),this.classes={facemesh:j1,age:o1,gender:h1,emotion:w1,faceres:u1,body:this.config.body.modelPath.includes("posenet")?Z1:K1,hand:U1,nanodet:et},this.faceTriangulation=jt,this.faceUVMap=St,this.sysinfo=xt()}profileData(){return this.config.profile?Ee:{}}similarity(t,r){return this.config.face.description.enabled?g1(t,r):this.config.face.embedding.enabled?pt(t,r):0}enhance(t){return T1(t)}match(t,r,A=0){return ut(t,r,A)}async load(t={}){this.state="load";let r=v();t&&(this.config=U(this.config,t)),C(this,ie)&&(this.config.debug&&f(`version: ${this.version}`),this.config.debug&&f(`tfjs version: ${this.tf.version_core}`),this.config.debug&&f("platform:",this.sysinfo.platform),this.config.debug&&f("agent:",this.sysinfo.agent),await C(this,Me).call(this,!0),this.tf.ENV.flags.IS_BROWSER&&(this.config.debug&&f("configuration:",this.config),this.config.debug&&f("tf flags:",this.tf.ENV.flags))),this.config.async?[this.models.face,this.models.age,this.models.gender,this.models.emotion,this.models.embedding,this.models.handpose,this.models.posenet,this.models.blazepose,this.models.efficientpose,this.models.nanodet,this.models.faceres]=await Promise.all([this.models.face||(this.config.face.enabled?W1(this.config):null),this.models.age||(this.config.face.enabled&&this.config.face.age.enabled?s1(this.config):null),this.models.gender||(this.config.face.enabled&&this.config.face.gender.enabled?y1(this.config):null),this.models.emotion||(this.config.face.enabled&&this.config.face.emotion.enabled?f1(this.config):null),this.models.embedding||(this.config.face.enabled&&this.config.face.embedding.enabled?m1(this.config):null),this.models.handpose||(this.config.hand.enabled?C1(this.config):null),this.models.posenet||(this.config.body.enabled&&this.config.body.modelPath.includes("posenet")?V1(this.config):null),this.models.blazepose||(this.config.body.enabled&&this.config.body.modelPath.includes("blazepose")?D1(this.config):null),this.models.efficientpose||(this.config.body.enabled&&this.config.body.modelPath.includes("efficientpose")?Q1(this.config):null),this.models.nanodet||(this.config.object.enabled?nt(this.config):null),this.models.faceres||(this.config.face.enabled&&this.config.face.description.enabled?b1(this.config):null)]):(this.config.face.enabled&&!this.models.face&&(this.models.face=await W1(this.config)),this.config.face.enabled&&this.config.face.age.enabled&&!this.models.age&&(this.models.age=await s1(this.config)),this.config.face.enabled&&this.config.face.gender.enabled&&!this.models.gender&&(this.models.gender=await y1(this.config)),this.config.face.enabled&&this.config.face.emotion.enabled&&!this.models.emotion&&(this.models.emotion=await f1(this.config)),this.config.face.enabled&&this.config.face.embedding.enabled&&!this.models.embedding&&(this.models.embedding=await m1(this.config)),this.config.hand.enabled&&!this.models.handpose&&(this.models.handpose=await C1(this.config)),this.config.body.enabled&&!this.models.posenet&&this.config.body.modelPath.includes("posenet")&&(this.models.posenet=await V1(this.config)),this.config.body.enabled&&!this.models.blazepose&&this.config.body.modelPath.includes("blazepose")&&(this.models.blazepose=await D1(this.config)),this.config.body.enabled&&!this.models.efficientpose&&this.config.body.modelPath.includes("efficientpose")&&(this.models.efficientpose=await Q1(this.config)),this.config.object.enabled&&!this.models.nanodet&&(this.models.nanodet=await nt(this.config)),this.config.face.enabled&&this.config.face.description.enabled&&!this.models.faceres&&(this.models.faceres=await b1(this.config))),C(this,ie)&&(this.config.debug&&f("tf engine state:",this.tf.engine().state.numBytes,"bytes",this.tf.engine().state.numTensors,"tensors"),_e(this,ie,!1));let A=Math.trunc(v()-r);A>(this.perf.load||0)&&(this.perf.load=A)}async detect(t,r={}){return new Promise(async A=>{var m,u;this.state="config";let _;this.config=U(this.config,r),this.state="check";let c=C(this,n1).call(this,t);c&&(f(c,t),A({error:c}));let n=v();await C(this,Me).call(this),await this.load(),this.config.scoped&&this.tf.engine().startScope(),this.analyze("Start Scope:");let s;t&&this.config.videoOptimized&&(typeof HTMLImageElement!="undefined"&&t instanceof HTMLImageElement||typeof Image!="undefined"&&t instanceof Image||typeof ImageData!="undefined"&&t instanceof ImageData||typeof ImageBitmap!="undefined"&&ct instanceof ImageBitmap)&&(f("disabling video optimization"),s=this.config.videoOptimized,this.config.videoOptimized=!1),_=v();let h=At(t,this.config);if(!h||!h.tensor){f("could not convert input to tensor"),A({error:"could not convert input to tensor"});return}this.perf.image=Math.trunc(v()-_),this.analyze("Get Image:");let a,y,i,d,p;this.config.async?(i=this.config.face.enabled?P1(this,h.tensor):[],this.perf.face&&delete this.perf.face):(this.state="run:face",_=v(),i=this.config.face.enabled?await P1(this,h.tensor):[],p=Math.trunc(v()-_),p>0&&(this.perf.face=p)),this.analyze("Start Body:"),this.config.async?(this.config.body.modelPath.includes("posenet")?a=this.config.body.enabled?H1(h.tensor,this.config):[]:this.config.body.modelPath.includes("blazepose")?a=this.config.body.enabled?G1(h.tensor,this.config):[]:this.config.body.modelPath.includes("efficientpose")&&(a=this.config.body.enabled?$1(h.tensor,this.config):[]),this.perf.body&&delete this.perf.body):(this.state="run:body",_=v(),this.config.body.modelPath.includes("posenet")?a=this.config.body.enabled?await H1(h.tensor,this.config):[]:this.config.body.modelPath.includes("blazepose")?a=this.config.body.enabled?await G1(h.tensor,this.config):[]:this.config.body.modelPath.includes("efficientpose")&&(a=this.config.body.enabled?await $1(h.tensor,this.config):[]),p=Math.trunc(v()-_),p>0&&(this.perf.body=p)),this.analyze("End Body:"),this.analyze("Start Hand:"),this.config.async?(y=this.config.hand.enabled?(m=this.models.handpose)==null?void 0:m.estimateHands(h.tensor,this.config):[],this.perf.hand&&delete this.perf.hand):(this.state="run:hand",_=v(),y=this.config.hand.enabled?await((u=this.models.handpose)==null?void 0:u.estimateHands(h.tensor,this.config)):[],p=Math.trunc(v()-_),p>0&&(this.perf.hand=p)),this.analyze("End Hand:"),this.analyze("Start Object:"),this.config.async?(d=this.config.object.enabled?rt(h.tensor,this.config):[],this.perf.object&&delete this.perf.object):(this.state="run:object",_=v(),d=this.config.object.enabled?await rt(h.tensor,this.config):[],p=Math.trunc(v()-_),p>0&&(this.perf.object=p)),this.analyze("End Object:"),this.config.async&&([i,a,y,d]=await Promise.all([i,a,y,d])),o.dispose(h.tensor),this.config.scoped&&this.tf.engine().endScope(),this.analyze("End Scope:");let T=[];this.config.gesture.enabled&&(_=v(),T=[...$t(i),...Qt(a),...t0(y),...e0(i)],this.config.async?this.perf.gesture&&delete this.perf.gesture:this.perf.gesture=Math.trunc(v()-_)),s&&(this.config.videoOptimized=s),this.perf.total=Math.trunc(v()-n),this.state="idle";let x={face:i,body:a,hand:y,gesture:T,object:d,performance:this.perf,canvas:h.canvas};A(x)})}async warmup(t={}){let r=v();if(t&&(this.config=U(this.config,t)),!this.config.warmup||this.config.warmup==="none")return{error:"null"};let A=this.config.videoOptimized;this.config.videoOptimized=!1;let _;typeof createImageBitmap=="function"?_=await C(this,r1).call(this):typeof Image!="undefined"?_=await C(this,c1).call(this):_=await C(this,A1).call(this),this.config.videoOptimized=A;let c=v();return this.config.debug&&f("Warmup",this.config.warmup,Math.round(c-r),"ms",_),_}};le=new WeakMap,Te=new WeakMap,Pe=new WeakMap,ie=new WeakMap,n1=new WeakMap,Me=new WeakMap,r1=new WeakMap,c1=new WeakMap,A1=new WeakMap;export{G0 as Human,G0 as default};
//# sourceMappingURL=human.esm-nobundle.js.map
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