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

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xn=[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],wn=[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],ln=[33,133,362,263,1,78,308],fr=xn.map(e=>Ne[e]),mr=wn.map(e=>Ne[e]),ur=ln.map(e=>Ne[e]);var Jt=ie.leftEyeLower0,Kt=ie.rightEyeLower0,Ee={leftBounds:[Jt[0],Jt[Jt.length-1]],rightBounds:[Kt[0],Kt[Kt.length-1]]},At={count:468,mouth:13,symmetryLine:[13,ie.midwayBetweenEyes[0]]},$1={leftEye:0,rightEye:1,nose:2,mouth:3,leftEar:4,rightEar:5,symmetryLine:[3,2]},Re={upperCenter:3,lowerCenter:4,index:71,numCoordinates:76};function _t(e,t,r,c){for(let _=0;_<Ct.length;_++){let{key:A,indices:n}=Ct[_],o=ie[`${r}${A}`];if(!c||c.includes(A))for(let s=0;s<n.length;s++){let i=n[s];e[o[s]]=[t[i][0],t[i][1],(t[i][2]+e[o[s]][2])/2]}}}var Dt=class{constructor(t,r,c){var _,A;this.storedBoxes=[],this.boundingBoxDetector=t,this.meshDetector=r,this.irisModel=c,this.boxSize=((_=t==null?void 0:t.model)==null?void 0:_.inputs[0].shape[2])||0,this.meshSize=(r==null?void 0:r.inputs[0].shape[2])||((A=t==null?void 0:t.model)==null?void 0:A.inputs[0].shape[2]),this.irisSize=(c==null?void 0:c.inputs[0].shape[1])||0,this.irisEnlarge=2.3,this.skipped=0,this.detectedFaces=0}transformRawCoords(t,r,c,_){let A=We({startPoint:r.startPoint,endPoint:r.endPoint}),n=t.map(h=>[A[0]/this.meshSize*(h[0]-this.meshSize/2),A[1]/this.meshSize*(h[1]-this.meshSize/2),h[2]]),o=c!==0?ct(c,[0,0]):rt,s=c!==0?n.map(h=>[...Q1(h,o),h[2]]):n,i=c!==0?G1(_):rt,a=[...Me({startPoint:r.startPoint,endPoint:r.endPoint}),1];return s.map(h=>[h[0]+xe(a,i[0]),h[1]+xe(a,i[1]),h[2]])}getLeftToRightEyeDepthDifference(t){let r=t[Ee.leftBounds[0]][2],c=t[Ee.rightBounds[0]][2];return r-c}getEyeBox(t,r,c,_,A=!1){let n=nt(tt(this.calculateLandmarksBoundingBox([t[c],t[_]]),this.irisEnlarge)),o=We(n),s=B.image.cropAndResize(r,[[n.startPoint[1]/this.meshSize,n.startPoint[0]/this.meshSize,n.endPoint[1]/this.meshSize,n.endPoint[0]/this.meshSize]],[0],[this.irisSize,this.irisSize]);return A&&B.ENV.flags.IS_BROWSER&&(s=B.image.flipLeftRight(s)),{box:n,boxSize:o,crop:s}}getEyeCoords(t,r,c,_=!1){let A=[];for(let n=0;n<Re.numCoordinates;n++){let o=t[n*3],s=t[n*3+1],i=t[n*3+2];A.push([(_?1-o/this.irisSize:o/this.irisSize)*c[0]+r.startPoint[0],s/this.irisSize*c[1]+r.startPoint[1],i])}return{rawCoords:A,iris:A.slice(Re.index)}}getAdjustedIrisCoords(t,r,c){let _=t[ie[`${c}EyeUpper0`][Re.upperCenter]][2],A=t[ie[`${c}EyeLower0`][Re.lowerCenter]][2],n=(_+A)/2;return r.map((o,s)=>{let i=n;return s===2?i=_:s===4&&(i=A),[o[0],o[1],i]})}async predict(t,r){let c=!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&&(c=!0)}if(r.face.detector.skipInitial&&this.detectedFaces===0&&(this.skipped=0),c){if(!_||!_.boxes||_.boxes.length===0)return this.storedBoxes=[],this.detectedFaces=0,null;for(let n=0;n<this.storedBoxes.length;n++){let o=J1({startPoint:this.storedBoxes[n].startPoint,endPoint:this.storedBoxes[n].endPoint},_.scaleFactor),s=tt(o),i=nt(s),a=this.storedBoxes[n].landmarks.arraySync(),h=this.storedBoxes[n].confidence;this.storedBoxes[n]={...i,confidence:h,landmarks:a}}}_&&_.boxes&&_.boxes.forEach(n=>{n.box.startPoint.dispose(),n.box.endPoint.dispose(),n.landmarks.dispose()});let A=B.tidy(()=>this.storedBoxes.map((n,o)=>{let s=n.confidence,i,a=0,h;if(r.face.detector.rotation&&r.face.mesh.enabled&&B.ENV.flags.IS_BROWSER){let[p,w]=n.landmarks.length>=At.count?At.symmetryLine:$1.symmetryLine;a=Yt(n.landmarks[p],n.landmarks[w]);let b=Me({startPoint:n.startPoint,endPoint:n.endPoint}),M=[b[0]/t.shape[2],b[1]/t.shape[1]],v=B.image.rotateWithOffset(t,a,0,M);h=ct(-a,b),r.face.mesh.enabled?i=ze({startPoint:n.startPoint,endPoint:n.endPoint},v,[this.meshSize,this.meshSize]).div(255):i=ze({startPoint:n.startPoint,endPoint:n.endPoint},v,[this.boxSize,this.boxSize]).div(255)}else{h=rt;let p=t.clone();r.face.mesh.enabled?i=ze({startPoint:n.startPoint,endPoint:n.endPoint},p,[this.meshSize,this.meshSize]).div(255):i=ze({startPoint:n.startPoint,endPoint:n.endPoint},p,[this.boxSize,this.boxSize]).div(255)}if(!r.face.mesh.enabled)return{coords:null,box:n,faceConfidence:null,boxConfidence:s,confidence:n.confidence,image:i};let[,x,d]=this.meshDetector.predict(i),f=x.dataSync()[0];if(f<r.face.detector.minConfidence)return null;let m=B.reshape(d,[-1,3]).arraySync();if(r.face.iris.enabled){let{box:p,boxSize:w,crop:b}=this.getEyeBox(m,i,Ee.leftBounds[0],Ee.leftBounds[1],!0),{box:M,boxSize:v,crop:H}=this.getEyeBox(m,i,Ee.rightBounds[0],Ee.rightBounds[1]),D=this.irisModel.predict(B.concat([b,H])).dataSync(),Mt=D.slice(0,Re.numCoordinates*3),{rawCoords:Fe,iris:me}=this.getEyeCoords(Mt,p,w,!0),X0=D.slice(Re.numCoordinates*3),{rawCoords:O1,iris:F0}=this.getEyeCoords(X0,M,v),I1=this.getLeftToRightEyeDepthDifference(m);Math.abs(I1)<30?(_t(m,Fe,"left",null),_t(m,O1,"right",null)):I1<1?_t(m,Fe,"left",["EyeUpper0","EyeLower0"]):_t(m,O1,"right",["EyeUpper0","EyeLower0"]);let q0=this.getAdjustedIrisCoords(m,me,"left"),B0=this.getAdjustedIrisCoords(m,F0,"right");m=m.concat(q0).concat(B0)}let u=this.transformRawCoords(m,n,a,h);n=tt(this.calculateLandmarksBoundingBox(u),1.5);let T=B.tensor2d(u);if(r.face.detector.rotation&&r.face.mesh.enabled&&(r.face.description.enabled||r.face.embedding.enabled)&&B.ENV.flags.IS_BROWSER){let[p,w]=n.landmarks.length>=At.count?At.symmetryLine:$1.symmetryLine;a=Yt(n.landmarks[p],n.landmarks[w]);let b=Me({startPoint:n.startPoint,endPoint:n.endPoint}),M=[b[0]/t.shape[2],b[1]/t.shape[1]],v=B.image.rotateWithOffset(t.toFloat(),a,0,M);h=ct(-a,b),i=ze({startPoint:n.startPoint,endPoint:n.endPoint},v,[this.meshSize,this.meshSize]).div(255)}let R={coords:T,box:n,faceConfidence:f,boxConfidence:s,image:i,rawCoords:m},I=nt(n);return this.storedBoxes[o]={...I,landmarks:u,confidence:n.confidence,faceConfidence:f},R}));return A=A.filter(n=>n!==null),r.face.mesh.enabled&&(this.storedBoxes=this.storedBoxes.filter(n=>n.faceConfidence>r.face.detector.minConfidence)),this.detectedFaces=A.length,A}calculateLandmarksBoundingBox(t){let r=t.map(n=>n[0]),c=t.map(n=>n[1]),_=[Math.min(...r),Math.min(...c)],A=[Math.max(...r),Math.max(...c)];return{startPoint:_,endPoint:A,landmarks:t}}};var $t=class{constructor(t,r,c,_){this.facePipeline=new Dt(t,r,c),this.config=_}async estimateFaces(t,r){let c=await this.facePipeline.predict(t,r),_=[];for(let A of c||[]){if(A.isDisposedInternal)continue;let n=A.coords?A.coords.arraySync():[],o=n.map(h=>[h[0]/t.shape[2],h[1]/t.shape[1],h[2]/this.facePipeline.meshSize]),s={};if(n&&n.length>0)for(let h of Object.keys(ie))s[h]=ie[h].map(x=>n[x]);let i=A.box?[Math.max(0,A.box.startPoint[0]),Math.max(0,A.box.startPoint[1]),Math.min(t.shape[2],A.box.endPoint[0])-Math.max(0,A.box.startPoint[0]),Math.min(t.shape[1],A.box.endPoint[1])-Math.max(0,A.box.startPoint[1])]:0,a=A.box?[A.box.startPoint[0]/t.shape[2],A.box.startPoint[1]/t.shape[1],(A.box.endPoint[0]-A.box.startPoint[0])/t.shape[2],(A.box.endPoint[1]-A.box.startPoint[1])/t.shape[1]]:[];_.push({confidence:Math.round(100*A.faceConfidence||100*A.boxConfidence||0)/100,boxConfidence:Math.round(100*A.boxConfidence)/100,faceConfidence:Math.round(100*A.faceConfidence)/100,box:i,boxRaw:a,mesh:n,meshRaw:o,annotations:s,image:A.image?A.image.clone():null}),A.coords&&A.coords.dispose(),A.image&&A.image.dispose()}return _}},X=[null,null,null];async function e1(e){return!X[0]&&e.face.enabled||!X[1]&&e.face.mesh.enabled||!X[2]&&e.face.iris.enabled?(X=await Promise.all([!X[0]&&e.face.enabled?Y1(e):null,!X[1]&&e.face.mesh.enabled?Qt.loadGraphModel(W(e.modelBasePath,e.face.mesh.modelPath),{fromTFHub:e.face.mesh.modelPath.includes("tfhub.dev")}):null,!X[2]&&e.face.iris.enabled?Qt.loadGraphModel(W(e.modelBasePath,e.face.iris.modelPath),{fromTFHub:e.face.iris.modelPath.includes("tfhub.dev")}):null]),e.face.mesh.enabled&&(!X[1]||!X[1].modelUrl?l("load model failed:",e.face.mesh.modelPath):e.debug&&l("load model:",X[1].modelUrl)),e.face.iris.enabled&&(!X[2]||!X[1].modelUrl?l("load model failed:",e.face.iris.modelPath):e.debug&&l("load model:",X[2].modelUrl))):e.debug&&(l("cached model:",X[0].model.modelUrl),l("cached model:",X[1].modelUrl),l("cached model:",X[2].modelUrl)),new $t(X[0],X[1],X[2],e)}var e0=pe,t0=Ne;var h1={};re(h1,{PoseNet:()=>i1,load:()=>a1});var d0=L(k());var n0=L(k()),dn=["MobilenetV1/offset_2/BiasAdd","MobilenetV1/heatmap_2/BiasAdd","MobilenetV1/displacement_fwd_2/BiasAdd","MobilenetV1/displacement_bwd_2/BiasAdd"];function fn(e){let[t,r,c,_]=e;return{offsets:t,heatmap:r,displacementFwd:c,displacementBwd:_}}var t1=class{constructor(t){this.model=t,this.inputSize=t.inputs[0].shape[1]}predict(t){return n0.tidy(()=>{let c=t.resizeBilinear([this.inputSize,this.inputSize]).toFloat().div(127.5).sub(1),A=this.model.execute(c,dn).map(o=>o.squeeze([0])),n=fn(A);return{heatmapScores:n.heatmap.sigmoid(),offsets:n.offsets,displacementFwd:n.displacementFwd,displacementBwd:n.displacementBwd}})}dispose(){this.model.dispose()}};var ve=["nose","leftEye","rightEye","leftEar","rightEar","leftShoulder","rightShoulder","leftElbow","rightElbow","leftWrist","rightWrist","leftHip","rightHip","leftKnee","rightKnee","leftAnkle","rightAnkle"],Se=ve.length,Oe=ve.reduce((e,t,r)=>(e[t]=r,e),{}),mn=[["leftHip","leftShoulder"],["leftElbow","leftShoulder"],["leftElbow","leftWrist"],["leftHip","leftKnee"],["leftKnee","leftAnkle"],["rightHip","rightShoulder"],["rightElbow","rightShoulder"],["rightElbow","rightWrist"],["rightHip","rightKnee"],["rightKnee","rightAnkle"],["leftShoulder","rightShoulder"],["leftHip","rightHip"]],un=mn.map(([e,t])=>[Oe[e],Oe[t]]),r0=[["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"]];var se=L(k());function c0(e,t){let r=Se,c=[];for(let _=0;_<r;_++){let A=t.get(_,0),n=t.get(_,1);c.push(e.get(A,n,_))}return c}function A0(e,t,r){let c=(A,n,o)=>[r.get(A,n,o),r.get(A,n,o+Se)],_=()=>{let A=[];for(let n=0;n<Se;n++){let o=e.get(n,0),s=e.get(n,1);A.push(c(o,s,n))}return A};return se.tidy(()=>e.toTensor().mul(se.scalar(t,"int32")).toFloat().add(_()))}function _0(e){let t=(A,n)=>se.tidy(()=>{let o=A.div(se.scalar(n,"int32"));return A.sub(o.mul(se.scalar(n,"int32")))}),[r,c,_]=e.shape;return se.tidy(()=>{let n=e.reshape([r*c,_]).argMax(0),o=n.div(se.scalar(c,"int32")).expandDims(1),s=t(n,c).expandDims(1);return se.concat([o,s],1)})}function ot(e){let t=e.reduce(({maxX:r,maxY:c,minX:_,minY:A},{position:{x:n,y:o}})=>({maxX:Math.max(r,n),maxY:Math.max(c,o),minX:Math.min(_,n),minY:Math.min(A,o)}),{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 n1(e,[t,r],[c,_]){let A=(o,s,i)=>({score:o.score,box:[Math.trunc(o.box[0]*i),Math.trunc(o.box[1]*s),Math.trunc(o.box[2]*i),Math.trunc(o.box[3]*s)],keypoints:o.keypoints.map(({score:a,part:h,position:x})=>({score:a,part:h,position:{x:Math.trunc(x.x*i),y:Math.trunc(x.y*s)}}))});return e.map(o=>A(o,t/c,r/_))}var r1=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 c=this.priorityQueue[t];this.priorityQueue[t]=this.priorityQueue[r],this.priorityQueue[r]=c}};function c1(e,t,r,c){return{y:c.get(e,t,r),x:c.get(e,t,r+Se)}}function st(e,t,r){let{heatmapY:c,heatmapX:_,id:A}=e,{y:n,x:o}=c1(c,_,A,r);return{x:e.heatmapX*t+o,y:e.heatmapY*t+n}}function A1(e,t,r){return e<t?t:e>r?r:e}function o0(e,t,r,c){let _=r-e,A=c-t;return _*_+A*A}function _1(e,t){return{x:e.x+t.x,y:e.y+t.y}}var s0=r0.map(([e,t])=>[Oe[e],Oe[t]]),o1=s0.map(([,e])=>e),h0=s0.map(([e])=>e),pn=16;function bn(e,t,r){let c=r.shape[2]/2;return{y:r.get(t.y,t.x,e),x:r.get(t.y,t.x,c+e)}}function s1(e,t,r,c){return{y:A1(Math.round(e.y/t),0,r-1),x:A1(Math.round(e.x/t),0,c-1)}}function i0(e,t,r,c,_,A,n,o=2){let[s,i]=c.shape,a=s1(t.position,A,s,i),h=bn(e,a,n),d=_1(t.position,h);for(let m=0;m<o;m++){let u=s1(d,A,s,i),T=c1(u.y,u.x,r,_);d=_1({x:u.x*A,y:u.y*A},{x:T.x,y:T.y})}let f=s1(d,A,s,i),y=c.get(f.y,f.x,r);return{position:d,part:ve[r],score:y}}function a0(e,t,r,c,_,A){let n=t.shape[2],o=o1.length,s=new Array(n),{part:i,score:a}=e,h=st(i,c,r);s[i.id]={score:a,part:ve[i.id],position:h};for(let x=o-1;x>=0;--x){let d=o1[x],f=h0[x];s[d]&&!s[f]&&(s[f]=i0(x,s[d],f,t,r,c,A))}for(let x=0;x<o;++x){let d=h0[x],f=o1[x];s[d]&&!s[f]&&(s[f]=i0(x,s[d],f,t,r,c,_))}return s}async function y0(e,t,r){let c=_0(e),_=await Promise.all([e.buffer(),t.buffer(),c.buffer()]),A=_[0],n=_[1],o=_[2],s=A0(o,pn,n),i=s.dataSync(),a=c0(A,o),h=0,x=a.filter(f=>f>r).map((f,y)=>(h+=f,{position:{y:i[2*y+0],x:i[2*y+1]},part:ve[y],score:f}));c.dispose(),s.dispose();let d=ot(x);return{keypoints:x,box:d,score:Math.round(100*h/x.length)/100}}var gn=1,x0=16;function Tn(e,t,r,c,_,A){let[n,o]=A.shape,s=!0,i=Math.max(r-_,0),a=Math.min(r+_+1,n);for(let h=i;h<a;++h){let x=Math.max(c-_,0),d=Math.min(c+_+1,o);for(let f=x;f<d;++f)if(A.get(h,f,e)>t){s=!1;break}if(!s)break}return s}function Pn(e,t,r){let[c,_,A]=r.shape,n=new r1(c*_*A,({score:o})=>o);for(let o=0;o<c;++o)for(let s=0;s<_;++s)for(let i=0;i<A;++i){let a=r.get(o,s,i);a<e||Tn(i,a,o,s,t,r)&&n.enqueue({score:a,part:{heatmapY:o,heatmapX:s,id:i}})}return n}function w0(e,t,{x:r,y:c},_){return e.some(({keypoints:A})=>{let n=A[_].position;return o0(c,r,n.y,n.x)<=t})}function Mn(e,t,r){return r.reduce((_,{position:A,score:n},o)=>(w0(e,t,A,o)||(_+=n),_),0)/r.length}function l0(e,t,r,c,_,A,n){let o=[],s=Pn(n,gn,e),i=_^2;for(;o.length<A&&!s.empty();){let a=s.dequeue(),h=st(a.part,x0,t);if(w0(o,i,h,a.part.id))continue;let x=a0(a,e,t,x0,r,c),d=Mn(o,i,x),f=ot(x);d>n&&o.push({keypoints:x,box:f,score:Math.round(100*d)/100})}return o}var be;async function zn(e,t,r,c){let _=A=>Promise.all(A.map(n=>n.buffer()));return new Promise(async A=>{let n=await _([t.heatmapScores,t.offsets,t.displacementFwd,t.displacementBwd]),o=n[0],s=n[1],i=n[2],a=n[3],h=await l0(o,s,i,a,r.body.nmsRadius,r.body.maxDetections,r.body.scoreThreshold),x=n1(h,[e.shape[1],e.shape[2]],[c,c]);A(x)})}async function En(e,t,r,c){return new Promise(async _=>{let A=await y0(t.heatmapScores,t.offsets,r.body.scoreThreshold),n=n1([A],[e.shape[1],e.shape[2]],[c,c]);_(n)})}var i1=class{constructor(t){this.baseModel=t,this.inputSize=t.model.inputs[0].shape[1]}async estimatePoses(t,r){let c=this.baseModel.predict(t,r),_=r.body.maxDetections<2?await En(t,c,r,this.inputSize):await zn(t,c,r,this.inputSize);return c.heatmapScores.dispose(),c.offsets.dispose(),c.displacementFwd.dispose(),c.displacementBwd.dispose(),_}dispose(){this.baseModel.dispose()}};async function a1(e){be?e.debug&&l("cached model:",be.modelUrl):(be=await 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r=Ie(e),c=ht(e),_=[t*c[0]/2,t*c[1]/2],A=[r[0]-_[0],r[1]-_[1]],n=[r[0]+_[0],r[1]+_[1]];return{startPoint:A,endPoint:n,palmLandmarks:e.palmLandmarks}}function at(e){let t=Ie(e),r=ht(e),_=Math.max(...r)/2,A=[t[0]-_,t[1]-_],n=[t[0]+_,t[1]+_];return{startPoint:A,endPoint:n,palmLandmarks:e.palmLandmarks}}var y1=class{constructor(t,r,c){this.model=t,this.anchors=c.map(_=>[_.x_center,_.y_center]),this.anchorsTensor=P.tensor2d(this.anchors),this.inputSize=r,this.inputSizeTensor=P.tensor1d([r,r]),this.doubleInputSizeTensor=P.tensor1d([r*2,r*2])}normalizeBoxes(t){return P.tidy(()=>{let r=P.slice(t,[0,0],[-1,2]),c=P.slice(t,[0,2],[-1,2]),_=P.add(P.div(r,this.inputSizeTensor),this.anchorsTensor),A=P.div(c,this.doubleInputSizeTensor),n=P.mul(P.sub(_,A),this.inputSizeTensor),o=P.mul(P.add(_,A),this.inputSizeTensor);return P.concat2d([n,o],1)})}normalizeLandmarks(t,r){return P.tidy(()=>{let c=P.add(P.div(t.reshape([-1,7,2]),this.inputSizeTensor),this.anchors[r]);return 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T=m.dataSync()[0];if(m.dispose(),T>=r.hand.minConfidence){let R=yt.reshape(u,[-1,3]),I=R.arraySync();u.dispose(),R.dispose();let p=this.transformRawCoords(I,d,s,x),w=this.getBoxForHandLandmarks(p);this.storedBoxes[n]=w;let b={landmarks:p,confidence:T,box:{topLeft:w.startPoint,bottomRight:w.endPoint}};A.push(b)}else this.storedBoxes[n]=null;u.dispose()}else{let s=it(at(o),P0),i={confidence:o.confidence,box:{topLeft:s.startPoint,bottomRight:s.endPoint}};A.push(i)}}return this.storedBoxes=this.storedBoxes.filter(n=>n!==null),this.detectedHands=A.length,A}calculateLandmarksBoundingBox(t){let r=t.map(n=>n[0]),c=t.map(n=>n[1]),_=[Math.min(...r),Math.min(...c)],A=[Math.max(...r),Math.max(...c)];return{startPoint:_,endPoint:A}}};var 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E0=["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"],R0=["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 C;async function g1(e){return C?e.debug&&l("cached model:",C.modelUrl):(C=await le.loadGraphModel(W(e.modelBasePath,e.body.modelPath)),C.width=parseInt(C.signature.inputs["input_1:0"].tensorShape.dim[2].size),C.height=parseInt(C.signature.inputs["input_1:0"].tensorShape.dim[1].size),!C||!C.modelUrl?l("load model failed:",e.body.modelPath):e.debug&&l("load model:",C.modelUrl)),C}async function T1(e,t){if(!C||!t.body.enabled)return null;let r={width:e.shape[2],height:e.shape[1]},c=le.image.resizeBilinear(e,[C.width,C.height],!1),_=le.div(c,[255]);c.dispose();let A;if(t.profile){let a=await le.profile(()=>C.predict(_));A=a.result.find(h=>h.size===195||h.size===155).dataSync(),a.result.forEach(h=>h.dispose()),Y("blazepose",a)}else{let a=await C.predict(_);A=a.find(h=>h.size===195||h.size===155).dataSync(),a.forEach(h=>h.dispose())}_.dispose();let n=[],o=A.length===195?E0:R0,s=5;for(let 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A=0;A<t.length;A++){if(!de[A]&&c.bufferedOutput&&(de[A]={...t[A]}),_.strokeStyle=c.color,_.fillStyle=c.color,_.lineWidth=c.lineWidth,_.font=c.font,c.drawBoxes&&(Te(_,t[A].box[0],t[A].box[1],t[A].box[2],t[A].box[3],c),c.drawLabels&&(c.shadowColor&&c.shadowColor!==""&&(_.fillStyle=c.shadowColor,_.fillText(`body ${100*t[A].score}%`,t[A].box[0]+3,1+t[A].box[1]+c.lineHeight,t[A].box[2])),_.fillStyle=c.labelColor,_.fillText(`body ${100*t[A].score}%`,t[A].box[0]+2,0+t[A].box[1]+c.lineHeight,t[A].box[2]))),c.drawPoints)for(let n=0;n<t[A].keypoints.length;n++)_.fillStyle=c.useDepth&&t[A].keypoints[n].position.z?`rgba(${127.5+2*t[A].keypoints[n].position.z}, ${127.5-2*t[A].keypoints[n].position.z}, 255, 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n,o=[];o.length=0,n=t[A].keypoints.find(s=>s.part==="leftShoulder"),n&&n.score>j.body.scoreThreshold&&o.push([n.position.x,n.position.y]),n=t[A].keypoints.find(s=>s.part==="rightShoulder"),n&&n.score>j.body.scoreThreshold&&o.push([n.position.x,n.position.y]),Le(_,o,c),o.length=0,n=t[A].keypoints.find(s=>s.part==="rightShoulder"),n&&n.score>j.body.scoreThreshold&&o.push([n.position.x,n.position.y]),n=t[A].keypoints.find(s=>s.part==="rightHip"),n&&n.score>j.body.scoreThreshold&&o.push([n.position.x,n.position.y]),n=t[A].keypoints.find(s=>s.part==="leftHip"),n&&n.score>j.body.scoreThreshold&&o.push([n.position.x,n.position.y]),n=t[A].keypoints.find(s=>s.part==="leftShoulder"),n&&n.score>j.body.scoreThreshold&&o.push([n.position.x,n.position.y]),o.length===4&&N1(_,o,c),o.length=0,n=t[A].keypoints.find(s=>s.part==="leftHip"),n&&n.score>j.body.scoreThreshold&&o.push([n.position.x,n.position.y]),n=t[A].keypoints.find(s=>s.part==="leftKnee"),n&&n.score>j.body.scoreThreshold&&o.push([n.position.x,n.position.y]),n=t[A].keypoints.find(s=>s.part==="leftAnkle"),n&&n.score>j.body.scoreThreshold&&o.push([n.position.x,n.position.y]),n=t[A].keypoints.find(s=>s.part==="leftHeel"),n&&n.score>j.body.scoreThreshold&&o.push([n.position.x,n.position.y]),n=t[A].keypoints.find(s=>s.part==="leftFoot"),n&&n.score>j.body.scoreThreshold&&o.push([n.position.x,n.position.y]),Le(_,o,c),o.length=0,n=t[A].keypoints.find(s=>s.part==="rightHip"),n&&n.score>j.body.scoreThreshold&&o.push([n.position.x,n.position.y]),n=t[A].keypoints.find(s=>s.part==="rightKnee"),n&&n.score>j.body.scoreThreshold&&o.push([n.position.x,n.position.y]),n=t[A].keypoints.find(s=>s.part==="rightAnkle"),n&&n.score>j.body.scoreThreshold&&o.push([n.position.x,n.position.y]),n=t[A].keypoints.find(s=>s.part==="rightHeel"),n&&n.score>j.body.scoreThreshold&&o.push([n.position.x,n.position.y]),n=t[A].keypoints.find(s=>s.part==="rightFoot"),n&&n.score>j.body.scoreThreshold&&o.push([n.position.x,n.position.y]),Le(_,o,c),o.length=0,n=t[A].keypoints.find(s=>s.part==="leftShoulder"),n&&n.score>j.body.scoreThreshold&&o.push([n.position.x,n.position.y]),n=t[A].keypoints.find(s=>s.part==="leftElbow"),n&&n.score>j.body.scoreThreshold&&o.push([n.position.x,n.position.y]),n=t[A].keypoints.find(s=>s.part==="leftWrist"),n&&n.score>j.body.scoreThreshold&&o.push([n.position.x,n.position.y]),n=t[A].keypoints.find(s=>s.part==="leftPalm"),n&&n.score>j.body.scoreThreshold&&o.push([n.position.x,n.position.y]),Le(_,o,c),o.length=0,n=t[A].keypoints.find(s=>s.part==="rightShoulder"),n&&n.score>j.body.scoreThreshold&&o.push([n.position.x,n.position.y]),n=t[A].keypoints.find(s=>s.part==="rightElbow"),n&&n.score>j.body.scoreThreshold&&o.push([n.position.x,n.position.y]),n=t[A].keypoints.find(s=>s.part==="rightWrist"),n&&n.score>j.body.scoreThreshold&&o.push([n.position.x,n.position.y]),n=t[A].keypoints.find(s=>s.part==="rightPalm"),n&&n.score>j.body.scoreThreshold&&o.push([n.position.x,n.position.y]),Le(_,o,c)}}}}async 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2Q==`;var H0="1.6.1";var je,He,Ve,Pe,bt,Xe,gt,Tt,Pt,V0=class{constructor(t={}){je.set(this,void 0);He.set(this,void 0);Ve.set(this,void 0);Pe.set(this,void 0);this.analyze=(...t)=>{if(!ce(this,He))return;let r=this.tf.engine().state.numTensors,c=ce(this,je);ue(this,je,r);let _=r-c;_!==0&&l(...t,_)};bt.set(this,t=>{if(!ce(this,Ve))return null;if(!t)return"input is not defined";if(this.tf.ENV.flags.IS_NODE&&!(t instanceof Ze.Tensor))return"input must be a tensor";try{this.tf.getBackend()}catch(r){return"backend not loaded"}return null});Xe.set(this,async(t=!1)=>{var r;if(this.config.backend&&this.config.backend.length>0&&t||this.tf.getBackend()!==this.config.backend){let c=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&&l("setting backend:",this.config.backend),this.config.backend==="wasm"){if(this.config.debug&&l("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"),A=await this.tf.env().getAsync("WASM_HAS_MULTITHREAD_SUPPORT");this.config.debug&&l(`wasm execution: ${_?"SIMD":"no SIMD"} ${A?"multithreaded":"singlethreaded"}`),this.config.debug&&!_&&l("warning: wasm simd support is not enabled")}this.config.backend==="humangl"&&X1();try{await this.tf.setBackend(this.config.backend)}catch(_){l("error: cannot set backend:",this.config.backend,_)}}if(this.tf.enableProdMode(),this.tf.getBackend()==="webgl"||this.tf.getBackend()==="humangl"){this.tf.ENV.set("CHECK_COMPUTATION_FOR_ERRORS",!1),this.tf.ENV.set("WEBGL_PACK_DEPTHWISECONV",!0),this.config.deallocate&&(l("changing webgl: WEBGL_DELETE_TEXTURE_THRESHOLD:",this.config.deallocate),this.tf.ENV.set("WEBGL_DELETE_TEXTURE_THRESHOLD",this.config.deallocate?0:-1));let _=await this.tf.backend().getGPGPUContext().gl;this.config.debug&&l(`gl version:${_.getParameter(_.VERSION)} renderer:${_.getParameter(_.RENDERER)}`)}await this.tf.ready(),this.perf.backend=Math.trunc(E()-c)}});gt.set(this,async()=>{let t=(_,A="application/octet-stream")=>fetch(`data:${A};base64,${_}`).then(n=>n.blob()),r,c;switch(this.config.warmup){case"face":r=await t(ut);break;case"full":r=await t(pt);break;default:r=null}if(r){let _=await createImageBitmap(r);c=await this.detect(_,this.config),_.close()}return c});Tt.set(this,async()=>new Promise(t=>{let r,c=0;switch(this.config.warmup){case"face":c=256,r="data:image/jpeg;base64,"+ut;break;case"full":case"body":c=1200,r="data:image/jpeg;base64,"+pt;break;default:r=null}let _=new Image;_.onload=async()=>{let A=typeof OffscreenCanvas!="undefined"?new OffscreenCanvas(c,c):document.createElement("canvas");A.width=_.naturalWidth,A.height=_.naturalHeight;let n=A.getContext("2d");n==null||n.drawImage(_,0,0);let o=await this.detect(A,this.config);t(o)},r?_.src=r:t(null)}));Pt.set(this,async()=>{let t=_=>Buffer.from(_,"base64"),r;if(this.config.warmup==="face"&&(r=t(ut)),(this.config.warmup==="body"||this.config.warmup==="full")&&(r=t(pt)),!r)return null;let c;if(typeof Ze.node!="undefined"){let _=Ze.node.decodeJpeg(r),A=_.expandDims(0);this.tf.dispose(_),c=await this.detect(A,this.config),this.tf.dispose(A)}else this.config.debug&&l("Warmup tfjs-node not loaded");return c});this.tf=Ze,this.draw=W1,this.version=H0,this.config=ee(j,t),this.state="idle",ue(this,je,0),ue(this,He,!1),ue(this,Ve,!1),ue(this,Pe,!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=>j1(r,this.config),this.classes={facemesh:Gt,age:Rt,gender:St,emotion:It,faceres:Xt,body:this.config.body.modelPath.includes("posenet")?h1:b1,hand:d1,nanodet:z1},this.faceTriangulation=e0,this.faceUVMap=t0,this.sysinfo=Z1()}profileData(){return this.config.profile?Be:{}}similarity(t,r){return this.config.face.description.enabled?qt(t,r):this.config.face.embedding.enabled?F1(t,r):0}enhance(t){return Bt(t)}match(t,r,c=0){return q1(t,r,c)}async load(t={}){this.state="load";let r=E();t&&(this.config=ee(this.config,t)),ce(this,Pe)&&(this.config.debug&&l(`version: ${this.version}`),this.config.debug&&l(`tfjs version: ${this.tf.version_core}`),this.config.debug&&l("platform:",this.sysinfo.platform),this.config.debug&&l("agent:",this.sysinfo.agent),await ce(this,Xe).call(this,!0),this.tf.ENV.flags.IS_BROWSER&&(this.config.debug&&l("configuration:",this.config),this.config.debug&&l("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?e1(this.config):null),this.models.age||(this.config.face.enabled&&this.config.face.age.enabled?vt(this.config):null),this.models.gender||(this.config.face.enabled&&this.config.face.gender.enabled?Ot(this.config):null),this.models.emotion||(this.config.face.enabled&&this.config.face.emotion.enabled?Zt(this.config):null),this.models.embedding||(this.config.face.enabled&&this.config.face.embedding.enabled?Ht(this.config):null),this.models.handpose||(this.config.hand.enabled?p1(this.config):null),this.models.posenet||(this.config.body.enabled&&this.config.body.modelPath.includes("posenet")?a1(this.config):null),this.models.blazepose||(this.config.body.enabled&&this.config.body.modelPath.includes("blazepose")?g1(this.config):null),this.models.efficientpose||(this.config.body.enabled&&this.config.body.modelPath.includes("efficientpose")?P1(this.config):null),this.models.nanodet||(this.config.object.enabled?R1(this.config):null),this.models.faceres||(this.config.face.enabled&&this.config.face.description.enabled?Ft(this.config):null)]):(this.config.face.enabled&&!this.models.face&&(this.models.face=await e1(this.config)),this.config.face.enabled&&this.config.face.age.enabled&&!this.models.age&&(this.models.age=await vt(this.config)),this.config.face.enabled&&this.config.face.gender.enabled&&!this.models.gender&&(this.models.gender=await Ot(this.config)),this.config.face.enabled&&this.config.face.emotion.enabled&&!this.models.emotion&&(this.models.emotion=await Zt(this.config)),this.config.face.enabled&&this.config.face.embedding.enabled&&!this.models.embedding&&(this.models.embedding=await Ht(this.config)),this.config.hand.enabled&&!this.models.handpose&&(this.models.handpose=await p1(this.config)),this.config.body.enabled&&!this.models.posenet&&this.config.body.modelPath.includes("posenet")&&(this.models.posenet=await a1(this.config)),this.config.body.enabled&&!this.models.blazepose&&this.config.body.modelPath.includes("blazepose")&&(this.models.blazepose=await g1(this.config)),this.config.body.enabled&&!this.models.efficientpose&&this.config.body.modelPath.includes("efficientpose")&&(this.models.efficientpose=await P1(this.config)),this.config.object.enabled&&!this.models.nanodet&&(this.models.nanodet=await R1(this.config)),this.config.face.enabled&&this.config.face.description.enabled&&!this.models.faceres&&(this.models.faceres=await Ft(this.config))),ce(this,Pe)&&(this.config.debug&&l("tf engine state:",this.tf.engine().state.numBytes,"bytes",this.tf.engine().state.numTensors,"tensors"),ue(this,Pe,!1));let c=Math.trunc(E()-r);c>(this.perf.load||0)&&(this.perf.load=c)}async detect(t,r={}){return new Promise(async c=>{var m,u,T,R;this.state="config";let _;this.config=ee(this.config,r),this.state="check";let A=ce(this,bt).call(this,t);A&&(l(A,t),c({error:A}));let n=E();await ce(this,Xe).call(this),await this.load(),this.config.scoped&&this.tf.engine().startScope(),this.analyze("Start Scope:");let o;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"&&S1 instanceof ImageBitmap)&&(l("disabling video optimization"),o=this.config.videoOptimized,this.config.videoOptimized=!1),_=E();let s=j1(t,this.config);if(!s||!s.tensor){l("could not convert input to tensor"),c({error:"could not convert input to tensor"});return}this.perf.image=Math.trunc(E()-_),this.analyze("Get Image:");let i,a,h,x,d;this.config.async?(h=this.config.face.enabled?Ut(this,s.tensor):[],this.perf.face&&delete this.perf.face):(this.state="run:face",_=E(),h=this.config.face.enabled?await Ut(this,s.tensor):[],d=Math.trunc(E()-_),d>0&&(this.perf.face=d)),this.analyze("Start Body:"),this.config.async?(this.config.body.modelPath.includes("posenet")?i=this.config.body.enabled?(m=this.models.posenet)==null?void 0:m.estimatePoses(s.tensor,this.config):[]:this.config.body.modelPath.includes("blazepose")?i=this.config.body.enabled?T1(s.tensor,this.config):[]:this.config.body.modelPath.includes("efficientpose")&&(i=this.config.body.enabled?M1(s.tensor,this.config):[]),this.perf.body&&delete this.perf.body):(this.state="run:body",_=E(),this.config.body.modelPath.includes("posenet")?i=this.config.body.enabled?await((u=this.models.posenet)==null?void 0:u.estimatePoses(s.tensor,this.config)):[]:this.config.body.modelPath.includes("blazepose")?i=this.config.body.enabled?await T1(s.tensor,this.config):[]:this.config.body.modelPath.includes("efficientpose")&&(i=this.config.body.enabled?await M1(s.tensor,this.config):[]),d=Math.trunc(E()-_),d>0&&(this.perf.body=d)),this.analyze("End Body:"),this.analyze("Start Hand:"),this.config.async?(a=this.config.hand.enabled?(T=this.models.handpose)==null?void 0:T.estimateHands(s.tensor,this.config):[],this.perf.hand&&delete this.perf.hand):(this.state="run:hand",_=E(),a=this.config.hand.enabled?await((R=this.models.handpose)==null?void 0:R.estimateHands(s.tensor,this.config)):[],d=Math.trunc(E()-_),d>0&&(this.perf.hand=d)),this.analyze("End Hand:"),this.analyze("Start Object:"),this.config.async?(x=this.config.object.enabled?v1(s.tensor,this.config):[],this.perf.object&&delete this.perf.object):(this.state="run:object",_=E(),x=this.config.object.enabled?await v1(s.tensor,this.config):[],d=Math.trunc(E()-_),d>0&&(this.perf.object=d)),this.analyze("End Object:"),this.config.async&&([h,i,a,x]=await Promise.all([h,i,a,x])),Ze.dispose(s.tensor),this.config.scoped&&this.tf.engine().endScope(),this.analyze("End Scope:");let f=[];this.config.gesture.enabled&&(_=E(),f=[...S0(h),...v0(i),...W0(a),...j0(h)],this.config.async?this.perf.gesture&&delete this.perf.gesture:this.perf.gesture=Math.trunc(E()-_)),o&&(this.config.videoOptimized=o),this.perf.total=Math.trunc(E()-n),this.state="idle";let y={face:h,body:i,hand:a,gesture:f,object:x,performance:this.perf,canvas:s.canvas};c(y)})}async warmup(t={}){let r=E();if(t&&(this.config=ee(this.config,t)),!this.config.warmup||this.config.warmup==="none")return{error:"null"};let c=this.config.videoOptimized;this.config.videoOptimized=!1;let _;typeof createImageBitmap=="function"?_=await ce(this,gt).call(this):typeof Image!="undefined"?_=await ce(this,Tt).call(this):_=await ce(this,Pt).call(this),this.config.videoOptimized=c;let A=E();return this.config.debug&&l("Warmup",this.config.warmup,Math.round(A-r),"ms",_),_}};je=new WeakMap,He=new WeakMap,Ve=new WeakMap,Pe=new WeakMap,bt=new WeakMap,Xe=new WeakMap,gt=new WeakMap,Tt=new WeakMap,Pt=new WeakMap;0&&(module.exports={Human});
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