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

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Z0=[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],H0=[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],V0=[33,133,362,263,1,78,308],_r=Z0.map(e=>pe[e]),or=H0.map(e=>pe[e]),sr=V0.map(e=>pe[e]);var Rt=G.leftEyeLower0,St=G.rightEyeLower0,ye={leftBounds:[Rt[0],Rt[Rt.length-1]],rightBounds:[St[0],St[St.length-1]]},qe={count:468,mouth:13,symmetryLine:[13,G.midwayBetweenEyes[0]]},k1={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 Be(e,t,r,A){for(let _=0;_<vt.length;_++){let{key:c,indices:n}=vt[_],s=G[`${r}${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 jt=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=me({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?Fe(A,[0,0]):Xe,h=A!==0?n.map(i=>[...N1(i,s),i[2]]):n,a=A!==0?W1(_):Xe,x=[...ae({startPoint:r.startPoint,endPoint:r.endPoint}),1];return h.map(i=>[i[0]+ee(x,a[0]),i[1]+ee(x,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=Ve(He(this.calculateLandmarksBoundingBox([t[A],t[_]]),this.irisEnlarge)),s=me(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[G[`${A}EyeUpper0`][we.upperCenter]][2],c=t[G[`${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=R1({startPoint:this.storedBoxes[n].startPoint,endPoint:this.storedBoxes[n].endPoint},_.scaleFactor),h=He(s),a=Ve(h),x=this.storedBoxes[n].landmarks.arraySync(),i=this.storedBoxes[n].confidence;this.storedBoxes[n]={...a,confidence:i,landmarks:x}}}_&&_.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,x=0,i;if(r.face.detector.rotation&&r.face.mesh.enabled&&o.ENV.flags.IS_BROWSER){let[g,d]=n.landmarks.length>=qe.count?qe.symmetryLine:k1.symmetryLine;x=Et(n.landmarks[g],n.landmarks[d]);let T=ae({startPoint:n.startPoint,endPoint:n.endPoint}),z=[T[0]/t.shape[2],T[1]/t.shape[1]],R=o.image.rotateWithOffset(t,x,0,z);i=Fe(-x,T),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=Xe;let g=t.clone();r.face.mesh.enabled?a=xe({startPoint:n.startPoint,endPoint:n.endPoint},g,[this.meshSize,this.meshSize]).div(255):a=xe({startPoint:n.startPoint,endPoint:n.endPoint},g,[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[,w,m]=this.meshDetector.predict(a),p=w.dataSync()[0];if(p<r.face.detector.minConfidence)return null;let u=o.reshape(m,[-1,3]).arraySync();if(r.face.iris.enabled){let{box:g,boxSize:d,crop:T}=this.getEyeBox(u,a,ye.leftBounds[0],ye.leftBounds[1],!0),{box:z,boxSize:R,crop:I}=this.getEyeBox(u,a,ye.rightBounds[0],ye.rightBounds[1]),X=this.irisModel.predict(o.concat([T,I])).dataSync(),st=X.slice(0,we.numCoordinates*3),{rawCoords:Ee,iris:ce}=this.getEyeCoords(st,g,d,!0),m0=X.slice(we.numCoordinates*3),{rawCoords:y1,iris:p0}=this.getEyeCoords(m0,z,R),w1=this.getLeftToRightEyeDepthDifference(u);Math.abs(w1)<30?(Be(u,Ee,"left",null),Be(u,y1,"right",null)):w1<1?Be(u,Ee,"left",["EyeUpper0","EyeLower0"]):Be(u,y1,"right",["EyeUpper0","EyeLower0"]);let u0=this.getAdjustedIrisCoords(u,ce,"left"),b0=this.getAdjustedIrisCoords(u,p0,"right");u=u.concat(u0).concat(b0)}let b=this.transformRawCoords(u,n,x,i);n=He(this.calculateLandmarksBoundingBox(b),1.5);let M=o.tensor2d(b);if(r.face.detector.rotation&&r.face.mesh.enabled&&(r.face.description.enabled||r.face.embedding.enabled)&&o.ENV.flags.IS_BROWSER){let[g,d]=n.landmarks.length>=qe.count?qe.symmetryLine:k1.symmetryLine;x=Et(n.landmarks[g],n.landmarks[d]);let T=ae({startPoint:n.startPoint,endPoint:n.endPoint}),z=[T[0]/t.shape[2],T[1]/t.shape[1]],R=o.image.rotateWithOffset(t.toFloat(),x,0,z);i=Fe(-x,T),a=xe({startPoint:n.startPoint,endPoint:n.endPoint},R,[this.meshSize,this.meshSize]).div(255)}let v={coords:M,box:n,faceConfidence:p,boxConfidence:h,image:a,rawCoords:u},N=Ve(n);return this.storedBoxes[s]={...N,landmarks:b,confidence:n.confidence,faceConfidence:p},v}));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 Nt=class{constructor(t,r,A,_){this.facePipeline=new jt(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(G))h[i]=G[i].map(w=>n[w]);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,x=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:x,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 kt(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?v1(e):null,!O[1]&&e.face.mesh.enabled?o.loadGraphModel(j(e.modelBasePath,e.face.mesh.modelPath),{fromTFHub:e.face.mesh.modelPath.includes("tfhub.dev")}):null,!O[2]&&e.face.iris.enabled?o.loadGraphModel(j(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 Nt(O[0],O[1],O[2],e)}var I1=_e,O1=pe;var qt={};C(qt,{PoseNet:()=>Bt,load:()=>Ut});var X0=["MobilenetV1/offset_2/BiasAdd","MobilenetV1/heatmap_2/BiasAdd","MobilenetV1/displacement_fwd_2/BiasAdd","MobilenetV1/displacement_bwd_2/BiasAdd"];function F0(e){let[t,r,A,_]=e;return{offsets:t,heatmap:r,displacementFwd:A,displacementBwd:_}}var It=class{constructor(t){this.model=t,this.inputSize=t.inputs[0].shape[1]}predict(t){return o.tidy(()=>{let A=t.resizeBilinear([this.inputSize,this.inputSize]).toFloat().div(127.5).sub(1),c=this.model.execute(A,X0).map(s=>s.squeeze([0])),n=F0(c);return{heatmapScores:n.heatmap.sigmoid(),offsets:n.offsets,displacementFwd:n.displacementFwd,displacementBwd:n.displacementBwd}})}dispose(){this.model.dispose()}};var le=["nose","leftEye","rightEye","leftEar","rightEar","leftShoulder","rightShoulder","leftElbow","rightElbow","leftWrist","rightWrist","leftHip","rightHip","leftKnee","rightKnee","leftAnkle","rightAnkle"],de=le.length,ue=le.reduce((e,t,r)=>(e[t]=r,e),{}),q0=[["leftHip","leftShoulder"],["leftElbow","leftShoulder"],["leftElbow","leftWrist"],["leftHip","leftKnee"],["leftKnee","leftAnkle"],["rightHip","rightShoulder"],["rightElbow","rightShoulder"],["rightElbow","rightWrist"],["rightHip","rightKnee"],["rightKnee","rightAnkle"],["leftShoulder","rightShoulder"],["leftHip","rightHip"]],B0=q0.map(([e,t])=>[ue[e],ue[t]]),L1=[["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 Z1(e,t){let r=de,A=[];for(let _=0;_<r;_++){let c=t.get(_,0),n=t.get(_,1);A.push(e.get(c,n,_))}return A}function H1(e,t,r){let A=(c,n,s)=>[r.get(c,n,s),r.get(c,n,s+de)],_=()=>{let c=[];for(let n=0;n<de;n++){let s=e.get(n,0),h=e.get(n,1);c.push(A(s,h,n))}return c};return o.tidy(()=>e.toTensor().mul(o.scalar(t,"int32")).toFloat().add(_()))}function V1(e){let t=(c,n)=>o.tidy(()=>{let s=c.div(o.scalar(n,"int32"));return c.sub(s.mul(o.scalar(n,"int32")))}),[r,A,_]=e.shape;return o.tidy(()=>{let n=e.reshape([r*A,_]).argMax(0),s=n.div(o.scalar(A,"int32")).expandDims(1),h=t(n,A).expandDims(1);return o.concat([s,h],1)})}function Ue(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 Ot(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:x,part:i,position:w})=>({score:x,part:i,position:{x:Math.trunc(w.x*a),y:Math.trunc(w.y*h)}}))});return e.map(s=>c(s,t/A,r/_))}var Lt=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 Zt(e,t,r,A){return{y:A.get(e,t,r),x:A.get(e,t,r+de)}}function Ye(e,t,r){let{heatmapY:A,heatmapX:_,id:c}=e,{y:n,x:s}=Zt(A,_,c,r);return{x:e.heatmapX*t+s,y:e.heatmapY*t+n}}function Ht(e,t,r){return e<t?t:e>r?r:e}function X1(e,t,r,A){let _=r-e,c=A-t;return _*_+c*c}function Vt(e,t){return{x:e.x+t.x,y:e.y+t.y}}var F1=L1.map(([e,t])=>[ue[e],ue[t]]),Xt=F1.map(([,e])=>e),q1=F1.map(([e])=>e),U0=16;function Y0(e,t,r){let A=r.shape[2]/2;return{y:r.get(t.y,t.x,e),x:r.get(t.y,t.x,A+e)}}function Ft(e,t,r,A){return{y:Ht(Math.round(e.y/t),0,r-1),x:Ht(Math.round(e.x/t),0,A-1)}}function B1(e,t,r,A,_,c,n,s=2){let[h,a]=A.shape,x=Ft(t.position,c,h,a),i=Y0(e,x,n),m=Vt(t.position,i);for(let u=0;u<s;u++){let b=Ft(m,c,h,a),M=Zt(b.y,b.x,r,_);m=Vt({x:b.x*c,y:b.y*c},{x:M.x,y:M.y})}let p=Ft(m,c,h,a),y=A.get(p.y,p.x,r);return{position:m,part:le[r],score:y}}function U1(e,t,r,A,_,c){let n=t.shape[2],s=Xt.length,h=new Array(n),{part:a,score:x}=e,i=Ye(a,A,r);h[a.id]={score:x,part:le[a.id],position:i};for(let w=s-1;w>=0;--w){let m=Xt[w],p=q1[w];h[m]&&!h[p]&&(h[p]=B1(w,h[m],p,t,r,A,c))}for(let w=0;w<s;++w){let m=q1[w],p=Xt[w];h[m]&&!h[p]&&(h[p]=B1(w,h[m],p,t,r,A,_))}return h}async function Y1(e,t,r){let A=V1(e),_=await Promise.all([e.buffer(),t.buffer(),A.buffer()]),c=_[0],n=_[1],s=_[2],h=H1(s,U0,n),a=h.dataSync(),x=Z1(c,s),i=0,w=x.filter(p=>p>r).map((p,y)=>(i+=p,{position:{y:a[2*y+0],x:a[2*y+1]},part:le[y],score:p}));A.dispose(),h.dispose();let m=Ue(w);return{keypoints:w,box:m,score:Math.round(100*i/w.length)/100}}var C0=1,C1=16;function J0(e,t,r,A,_,c){let[n,s]=c.shape,h=!0,a=Math.max(r-_,0),x=Math.min(r+_+1,n);for(let i=a;i<x;++i){let w=Math.max(A-_,0),m=Math.min(A+_+1,s);for(let p=w;p<m;++p)if(c.get(i,p,e)>t){h=!1;break}if(!h)break}return h}function K0(e,t,r){let[A,_,c]=r.shape,n=new Lt(A*_*c,({score:s})=>s);for(let s=0;s<A;++s)for(let h=0;h<_;++h)for(let a=0;a<c;++a){let x=r.get(s,h,a);x<e||J0(a,x,s,h,t,r)&&n.enqueue({score:x,part:{heatmapY:s,heatmapX:h,id:a}})}return n}function J1(e,t,{x:r,y:A},_){return e.some(({keypoints:c})=>{let n=c[_].position;return X1(A,r,n.y,n.x)<=t})}function D0(e,t,r){return r.reduce((_,{position:c,score:n},s)=>(J1(e,t,c,s)||(_+=n),_),0)/r.length}function K1(e,t,r,A,_,c,n){let s=[],h=K0(n,C0,e),a=_^2;for(;s.length<c&&!h.empty();){let x=h.dequeue(),i=Ye(x.part,C1,t);if(J1(s,a,i,x.part.id))continue;let w=U1(x,e,t,C1,r,A),m=D0(s,a,w),p=Ue(w);m>n&&s.push({keypoints:w,box:p,score:Math.round(100*m)/100})}return s}var oe;async function G0(e,t,r,A){let _=c=>Promise.all(c.map(n=>n.buffer()));return new Promise(async c=>{let n=await _([t.heatmapScores,t.offsets,t.displacementFwd,t.displacementBwd]),s=n[0],h=n[1],a=n[2],x=n[3],i=await K1(s,h,a,x,r.body.nmsRadius,r.body.maxDetections,r.body.scoreThreshold),w=Ot(i,[e.shape[1],e.shape[2]],[A,A]);c(w)})}async function Q0(e,t,r,A){return new Promise(async _=>{let c=await Y1(t.heatmapScores,t.offsets,r.body.scoreThreshold),n=Ot([c],[e.shape[1],e.shape[2]],[A,A]);_(n)})}var Bt=class{constructor(t){this.baseModel=t,this.inputSize=t.model.inputs[0].shape[1]}async estimatePoses(t,r){let A=this.baseModel.predict(t,r),_=r.body.maxDetections<2?await Q0(t,A,r,this.inputSize):await G0(t,A,r,this.inputSize);return A.heatmapScores.dispose(),A.offsets.dispose(),A.displacementFwd.dispose(),A.displacementBwd.dispose(),_}dispose(){this.baseModel.dispose()}};async function Ut(e){oe?e.debug&&f("cached model:",oe.modelUrl):(oe=await 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r=be(e),A=Ce(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 Ke(e){let t=be(e),r=Ce(e),_=Math.max(...r)/2,c=[t[0]-_,t[1]-_],n=[t[0]+_,t[1]+_];return{startPoint:c,endPoint:n,palmLandmarks:e.palmLandmarks}}var Yt=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 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M=u.dataSync()[0];if(u.dispose(),M>=r.hand.minConfidence){let v=o.reshape(b,[-1,3]),N=v.arraySync();b.dispose(),v.dispose();let g=this.transformRawCoords(N,m,h,w),d=this.getBoxForHandLandmarks(g);this.storedBoxes[n]=d;let T={landmarks:g,confidence:M,box:{topLeft:d.startPoint,bottomRight:d.endPoint}};c.push(T)}else this.storedBoxes[n]=null;b.dispose()}else{let h=Je(Ke(s),n0),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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A0=["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"],_0=["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 t1(e){return Z?e.debug&&f("cached model:",Z.modelUrl):(Z=await o.loadGraphModel(j(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 n1(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 x=await o.profile(()=>Z.predict(_));c=x.result.find(i=>i.size===195||i.size===155).dataSync(),x.result.forEach(i=>i.dispose()),L("blazepose",x)}else{let x=await Z.predict(_);c=x.find(i=>i.size===195||i.size===155).dataSync(),x.forEach(i=>i.dispose())}_.dispose();let n=[],s=c.length===195?A0:_0,h=5;for(let x=0;x<c.length/h;x++)n.push({id:x,part:s[x],position:{x:Math.trunc(r.width*c[h*x+0]/255),y:Math.trunc(r.height*c[h*x+1]/255),z:Math.trunc(c[h*x+2])+0},score:(100-Math.trunc(100/(1+Math.exp(c[h*x+3]))))/100,presence:(100-Math.trunc(100/(1+Math.exp(c[h*x+4]))))/100});return[{score:n.reduce((x,i)=>i.score>x?i.score:x,0),keypoints:n}]}var H,ge=[],De=Number.MAX_SAFE_INTEGER,cn=["head","neck","rightShoulder","rightElbow","rightWrist","chest","leftShoulder","leftElbow","leftWrist","pelvis","rightHip","rightKnee","rightAnkle","leftHip","leftKnee","leftAnkle"];async function r1(e){return H?e.debug&&f("cached model:",H.modelUrl):(H=await o.loadGraphModel(j(e.modelBasePath,e.body.modelPath)),!H||!H.modelUrl?f("load model failed:",e.body.modelPath):e.debug&&f("load model:",H.modelUrl)),H}function An(e,t){let[r,A]=e.shape;return o.tidy(()=>{let _=(s,h)=>o.sub(s,o.mul(o.div(s,o.scalar(h,"int32")),o.scalar(h,"int32"))),c=o.reshape(e,[A*r]),n=o.max(c,0).dataSync()[0];if(n>t){let 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2Q==`;var f0="1.6.1";var fe,Pe,Me,ie,ct,ze,At,_t,ot,xn=class{constructor(t={}){fe.set(this,void 0);Pe.set(this,void 0);Me.set(this,void 0);ie.set(this,void 0);this.analyze=(...t)=>{if(!J(this,Pe))return;let r=this.tf.engine().state.numTensors,A=J(this,fe);Ae(this,fe,r);let _=r-A;_!==0&&f(...t,_)};ct.set(this,t=>{if(!J(this,Me))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});ze.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=E();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"} ${c?"multithreaded":"singlethreaded"}`),this.config.debug&&!_&&f("warning: wasm simd support is not enabled")}this.config.backend==="humangl"&&T1();try{await this.tf.setBackend(this.config.backend)}catch(_){f("error: cannot set backend:",this.config.backend,_)}}if(this.tf.enableProdMode(),this.tf.getBackend()==="webgl"||this.tf.getBackend()==="humangl"){this.tf.ENV.set("CHECK_COMPUTATION_FOR_ERRORS",!1),this.tf.ENV.set("WEBGL_PACK_DEPTHWISECONV",!0),this.config.deallocate&&(f("changing webgl: WEBGL_DELETE_TEXTURE_THRESHOLD:",this.config.deallocate),this.tf.ENV.set("WEBGL_DELETE_TEXTURE_THRESHOLD",this.config.deallocate?0:-1));let _=await this.tf.backend().getGPGPUContext().gl;this.config.debug&&f(`gl version:${_.getParameter(_.VERSION)} renderer:${_.getParameter(_.RENDERER)}`)}await this.tf.ready(),this.perf.backend=Math.trunc(E()-A)}});At.set(this,async()=>{let t=(_,c="application/octet-stream")=>fetch(`data:${c};base64,${_}`).then(n=>n.blob()),r,A;switch(this.config.warmup){case"face":r=await t(nt);break;case"full":r=await t(rt);break;default:r=null}if(r){let _=await createImageBitmap(r);A=await this.detect(_,this.config),_.close()}return A});_t.set(this,async()=>new Promise(t=>{let r,A=0;switch(this.config.warmup){case"face":A=256,r="data:image/jpeg;base64,"+nt;break;case"full":case"body":A=1200,r="data:image/jpeg;base64,"+rt;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)}));ot.set(this,async()=>{let t=_=>Buffer.from(_,"base64"),r;if(this.config.warmup==="face"&&(r=t(nt)),(this.config.warmup==="body"||this.config.warmup==="full")&&(r=t(rt)),!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=a1,this.version=f0,this.config=U(S,t),this.state="idle",Ae(this,fe,0),Ae(this,Pe,!1),Ae(this,Me,!1),Ae(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=>i1(r,this.config),this.classes={facemesh:Wt,age:ht,gender:at,emotion:dt,faceres:gt,body:this.config.body.modelPath.includes("posenet")?qt:e1,hand:Dt,nanodet:A1},this.faceTriangulation=I1,this.faceUVMap=O1,this.sysinfo=f1()}profileData(){return this.config.profile?ve:{}}similarity(t,r){return this.config.face.description.enabled?Pt(t,r):this.config.face.embedding.enabled?P1(t,r):0}enhance(t){return Mt(t)}match(t,r,A=0){return M1(t,r,A)}async load(t={}){this.state="load";let r=E();t&&(this.config=U(this.config,t)),J(this,ie)&&(this.config.debug&&f(`version: ${this.version}`),this.config.debug&&f(`tfjs version: ${this.tf.version_core}`),this.config.debug&&f("platform:",this.sysinfo.platform),this.config.debug&&f("agent:",this.sysinfo.agent),await J(this,ze).call(this,!0),this.tf.ENV.flags.IS_BROWSER&&(this.config.debug&&f("configuration:",this.config),this.config.debug&&f("tf flags:",this.tf.ENV.flags))),this.config.async?[this.models.face,this.models.age,this.models.gender,this.models.emotion,this.models.embedding,this.models.handpose,this.models.posenet,this.models.blazepose,this.models.efficientpose,this.models.nanodet,this.models.faceres]=await Promise.all([this.models.face||(this.config.face.enabled?kt(this.config):null),this.models.age||(this.config.face.enabled&&this.config.face.age.enabled?it(this.config):null),this.models.gender||(this.config.face.enabled&&this.config.face.gender.enabled?lt(this.config):null),this.models.emotion||(this.config.face.enabled&&this.config.face.emotion.enabled?pt(this.config):null),this.models.embedding||(this.config.face.enabled&&this.config.face.embedding.enabled?ut(this.config):null),this.models.handpose||(this.config.hand.enabled?$t(this.config):null),this.models.posenet||(this.config.body.enabled&&this.config.body.modelPath.includes("posenet")?Ut(this.config):null),this.models.blazepose||(this.config.body.enabled&&this.config.body.modelPath.includes("blazepose")?t1(this.config):null),this.models.efficientpose||(this.config.body.enabled&&this.config.body.modelPath.includes("efficientpose")?r1(this.config):null),this.models.nanodet||(this.config.object.enabled?o1(this.config):null),this.models.faceres||(this.config.face.enabled&&this.config.face.description.enabled?Tt(this.config):null)]):(this.config.face.enabled&&!this.models.face&&(this.models.face=await kt(this.config)),this.config.face.enabled&&this.config.face.age.enabled&&!this.models.age&&(this.models.age=await it(this.config)),this.config.face.enabled&&this.config.face.gender.enabled&&!this.models.gender&&(this.models.gender=await lt(this.config)),this.config.face.enabled&&this.config.face.emotion.enabled&&!this.models.emotion&&(this.models.emotion=await pt(this.config)),this.config.face.enabled&&this.config.face.embedding.enabled&&!this.models.embedding&&(this.models.embedding=await ut(this.config)),this.config.hand.enabled&&!this.models.handpose&&(this.models.handpose=await $t(this.config)),this.config.body.enabled&&!this.models.posenet&&this.config.body.modelPath.includes("posenet")&&(this.models.posenet=await Ut(this.config)),this.config.body.enabled&&!this.models.blazepose&&this.config.body.modelPath.includes("blazepose")&&(this.models.blazepose=await t1(this.config)),this.config.body.enabled&&!this.models.efficientpose&&this.config.body.modelPath.includes("efficientpose")&&(this.models.efficientpose=await r1(this.config)),this.config.object.enabled&&!this.models.nanodet&&(this.models.nanodet=await o1(this.config)),this.config.face.enabled&&this.config.face.description.enabled&&!this.models.faceres&&(this.models.faceres=await Tt(this.config))),J(this,ie)&&(this.config.debug&&f("tf engine state:",this.tf.engine().state.numBytes,"bytes",this.tf.engine().state.numTensors,"tensors"),Ae(this,ie,!1));let A=Math.trunc(E()-r);A>(this.perf.load||0)&&(this.perf.load=A)}async detect(t,r={}){return new Promise(async A=>{var u,b,M,v;this.state="config";let _;this.config=U(this.config,r),this.state="check";let c=J(this,ct).call(this,t);c&&(f(c,t),A({error:c}));let n=E();await J(this,ze).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"&&h1 instanceof ImageBitmap)&&(f("disabling video optimization"),s=this.config.videoOptimized,this.config.videoOptimized=!1),_=E();let h=i1(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(E()-_),this.analyze("Get Image:");let a,x,i,w,m;this.config.async?(i=this.config.face.enabled?zt(this,h.tensor):[],this.perf.face&&delete this.perf.face):(this.state="run:face",_=E(),i=this.config.face.enabled?await zt(this,h.tensor):[],m=Math.trunc(E()-_),m>0&&(this.perf.face=m)),this.analyze("Start Body:"),this.config.async?(this.config.body.modelPath.includes("posenet")?a=this.config.body.enabled?(u=this.models.posenet)==null?void 0:u.estimatePoses(h.tensor,this.config):[]:this.config.body.modelPath.includes("blazepose")?a=this.config.body.enabled?n1(h.tensor,this.config):[]:this.config.body.modelPath.includes("efficientpose")&&(a=this.config.body.enabled?c1(h.tensor,this.config):[]),this.perf.body&&delete this.perf.body):(this.state="run:body",_=E(),this.config.body.modelPath.includes("posenet")?a=this.config.body.enabled?await((b=this.models.posenet)==null?void 0:b.estimatePoses(h.tensor,this.config)):[]:this.config.body.modelPath.includes("blazepose")?a=this.config.body.enabled?await n1(h.tensor,this.config):[]:this.config.body.modelPath.includes("efficientpose")&&(a=this.config.body.enabled?await c1(h.tensor,this.config):[]),m=Math.trunc(E()-_),m>0&&(this.perf.body=m)),this.analyze("End Body:"),this.analyze("Start Hand:"),this.config.async?(x=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",_=E(),x=this.config.hand.enabled?await((v=this.models.handpose)==null?void 0:v.estimateHands(h.tensor,this.config)):[],m=Math.trunc(E()-_),m>0&&(this.perf.hand=m)),this.analyze("End Hand:"),this.analyze("Start Object:"),this.config.async?(w=this.config.object.enabled?s1(h.tensor,this.config):[],this.perf.object&&delete this.perf.object):(this.state="run:object",_=E(),w=this.config.object.enabled?await s1(h.tensor,this.config):[],m=Math.trunc(E()-_),m>0&&(this.perf.object=m)),this.analyze("End Object:"),this.config.async&&([i,a,x,w]=await Promise.all([i,a,x,w])),o.dispose(h.tensor),this.config.scoped&&this.tf.engine().endScope(),this.analyze("End Scope:");let p=[];this.config.gesture.enabled&&(_=E(),p=[...s0(i),...o0(a),...i0(x),...h0(i)],this.config.async?this.perf.gesture&&delete this.perf.gesture:this.perf.gesture=Math.trunc(E()-_)),s&&(this.config.videoOptimized=s),this.perf.total=Math.trunc(E()-n),this.state="idle";let y={face:i,body:a,hand:x,gesture:p,object:w,performance:this.perf,canvas:h.canvas};A(y)})}async warmup(t={}){let r=E();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 J(this,At).call(this):typeof Image!="undefined"?_=await J(this,_t).call(this):_=await J(this,ot).call(this),this.config.videoOptimized=A;let c=E();return this.config.debug&&f("Warmup",this.config.warmup,Math.round(c-r),"ms",_),_}};fe=new WeakMap,Pe=new WeakMap,Me=new WeakMap,ie=new WeakMap,ct=new WeakMap,ze=new WeakMap,At=new WeakMap,_t=new WeakMap,ot=new WeakMap;export{xn as Human,xn as default};
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