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

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Mt=[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],zt=[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],Et=[33,133,362,263,1,78,308],sn=Mt.map(e=>be[e]),an=zt.map(e=>be[e]),xn=Et.map(e=>be[e]);var p1=ee.leftEyeLower0,b1=ee.rightEyeLower0,de={leftBounds:[p1[0],p1[p1.length-1]],rightBounds:[b1[0],b1[b1.length-1]]},Xe={count:468,mouth:13,symmetryLine:[13,ee.midwayBetweenEyes[0]]},u0={leftEye:0,rightEye:1,nose:2,mouth:3,leftEar:4,rightEar:5,symmetryLine:[3,2]},fe={upperCenter:3,lowerCenter:4,index:71,numCoordinates:76};function Fe(e,t,n,A){for(let _=0;_<u1.length;_++){let{key:c,indices:r}=u1[_],h=ee[`${n}${c}`];if(!A||A.includes(c))for(let o=0;o<r.length;o++){let i=r[o];e[h[o]]=[t[i][0],t[i][1],(t[i][2]+e[h[o]][2])/2]}}}var g1=class{constructor(t,n,A){var _,c;this.storedBoxes=[],this.boundingBoxDetector=t,this.meshDetector=n,this.irisModel=A,this.boxSize=((_=t==null?void 0:t.model)==null?void 0:_.inputs[0].shape[2])||0,this.meshSize=(n==null?void 0:n.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,n,A,_){let c=pe({startPoint:n.startPoint,endPoint:n.endPoint}),r=t.map(s=>[c[0]/this.meshSize*(s[0]-this.meshSize/2),c[1]/this.meshSize*(s[1]-this.meshSize/2),s[2]]),h=A!==0?He(A,[0,0]):Ve,o=A!==0?r.map(s=>[...m0(s,h),s[2]]):r,i=A!==0?f0(_):Ve,x=[...we({startPoint:n.startPoint,endPoint:n.endPoint}),1];return o.map(s=>[s[0]+Ae(x,i[0]),s[1]+Ae(x,i[1]),s[2]])}getLeftToRightEyeDepthDifference(t){let n=t[de.leftBounds[0]][2],A=t[de.rightBounds[0]][2];return n-A}getEyeBox(t,n,A,_,c=!1){let r=Ze(Le(this.calculateLandmarksBoundingBox([t[A],t[_]]),this.irisEnlarge)),h=pe(r),o=Z.image.cropAndResize(n,[[r.startPoint[1]/this.meshSize,r.startPoint[0]/this.meshSize,r.endPoint[1]/this.meshSize,r.endPoint[0]/this.meshSize]],[0],[this.irisSize,this.irisSize]);return c&&Z.ENV.flags.IS_BROWSER&&(o=Z.image.flipLeftRight(o)),{box:r,boxSize:h,crop:o}}getEyeCoords(t,n,A,_=!1){let c=[];for(let r=0;r<fe.numCoordinates;r++){let h=t[r*3],o=t[r*3+1],i=t[r*3+2];c.push([(_?1-h/this.irisSize:h/this.irisSize)*A[0]+n.startPoint[0],o/this.irisSize*A[1]+n.startPoint[1],i])}return{rawCoords:c,iris:c.slice(fe.index)}}getAdjustedIrisCoords(t,n,A){let _=t[ee[`${A}EyeUpper0`][fe.upperCenter]][2],c=t[ee[`${A}EyeLower0`][fe.lowerCenter]][2],r=(_+c)/2;return n.map((h,o)=>{let i=r;return o===2?i=_:o===4&&(i=c),[h[0],h[1],i]})}async predict(t,n){let A=!1,_;if((this.skipped===0||this.skipped>n.face.detector.skipFrames||!n.face.mesh.enabled||!n.videoOptimized)&&(_=await this.boundingBoxDetector.getBoundingBoxes(t),this.skipped=0),n.videoOptimized&&this.skipped++,!n.videoOptimized||_&&_.boxes&&(!n.face.mesh.enabled||_.boxes.length!==this.detectedFaces&&this.detectedFaces!==n.face.detector.maxDetected)){this.storedBoxes=[],this.detectedFaces=0;for(let r of _.boxes)this.storedBoxes.push({startPoint:r.box.startPoint.dataSync(),endPoint:r.box.endPoint.dataSync(),landmarks:r.landmarks,confidence:r.confidence});this.storedBoxes.length>0&&(A=!0)}if(n.face.detector.skipInitial&&this.detectedFaces===0&&(this.skipped=0),A){if(!_||!_.boxes||_.boxes.length===0)return this.storedBoxes=[],this.detectedFaces=0,null;for(let r=0;r<this.storedBoxes.length;r++){let h=w0({startPoint:this.storedBoxes[r].startPoint,endPoint:this.storedBoxes[r].endPoint},_.scaleFactor),o=Le(h),i=Ze(o),x=this.storedBoxes[r].landmarks.arraySync(),s=this.storedBoxes[r].confidence;this.storedBoxes[r]={...i,confidence:s,landmarks:x}}}_&&_.boxes&&_.boxes.forEach(r=>{r.box.startPoint.dispose(),r.box.endPoint.dispose(),r.landmarks.dispose()});let c=Z.tidy(()=>this.storedBoxes.map((r,h)=>{let o=r.confidence,i,x=0,s;if(n.face.detector.rotation&&n.face.mesh.enabled&&Z.ENV.flags.IS_BROWSER){let[u,y]=r.landmarks.length>=Xe.count?Xe.symmetryLine:u0.symmetryLine;x=m1(r.landmarks[u],r.landmarks[y]);let p=we({startPoint:r.startPoint,endPoint:r.endPoint}),z=[p[0]/t.shape[2],p[1]/t.shape[1]],v=Z.image.rotateWithOffset(t,x,0,z);s=He(-x,p),n.face.mesh.enabled?i=le({startPoint:r.startPoint,endPoint:r.endPoint},v,[this.meshSize,this.meshSize]).div(255):i=le({startPoint:r.startPoint,endPoint:r.endPoint},v,[this.boxSize,this.boxSize]).div(255)}else{s=Ve;let u=t.clone();n.face.mesh.enabled?i=le({startPoint:r.startPoint,endPoint:r.endPoint},u,[this.meshSize,this.meshSize]).div(255):i=le({startPoint:r.startPoint,endPoint:r.endPoint},u,[this.boxSize,this.boxSize]).div(255)}if(!n.face.mesh.enabled)return{coords:null,box:r,faceConfidence:null,boxConfidence:o,confidence:r.confidence,image:i};let[,w,f]=this.meshDetector.predict(i),g=w.dataSync()[0];if(g<n.face.detector.minConfidence)return null;let l=Z.reshape(f,[-1,3]).arraySync();if(n.face.iris.enabled){let{box:u,boxSize:y,crop:p}=this.getEyeBox(l,i,de.leftBounds[0],de.leftBounds[1],!0),{box:z,boxSize:v,crop:I}=this.getEyeBox(l,i,de.rightBounds[0],de.rightBounds[1]),F=this.irisModel.predict(Z.concat([p,I])).dataSync(),_1=F.slice(0,fe.numCoordinates*3),{rawCoords:Se,iris:oe}=this.getEyeCoords(_1,u,y,!0),tt=F.slice(fe.numCoordinates*3),{rawCoords:t0,iris:nt}=this.getEyeCoords(tt,z,v),n0=this.getLeftToRightEyeDepthDifference(l);Math.abs(n0)<30?(Fe(l,Se,"left",null),Fe(l,t0,"right",null)):n0<1?Fe(l,Se,"left",["EyeUpper0","EyeLower0"]):Fe(l,t0,"right",["EyeUpper0","EyeLower0"]);let rt=this.getAdjustedIrisCoords(l,oe,"left"),At=this.getAdjustedIrisCoords(l,nt,"right");l=l.concat(rt).concat(At)}let d=this.transformRawCoords(l,r,x,s);r=Le(this.calculateLandmarksBoundingBox(d),1.5);let T=Z.tensor2d(d);if(n.face.detector.rotation&&n.face.mesh.enabled&&n.face.description.enabled&&Z.ENV.flags.IS_BROWSER){let[u,y]=r.landmarks.length>=Xe.count?Xe.symmetryLine:u0.symmetryLine;x=m1(r.landmarks[u],r.landmarks[y]);let p=we({startPoint:r.startPoint,endPoint:r.endPoint}),z=[p[0]/t.shape[2],p[1]/t.shape[1]],v=Z.image.rotateWithOffset(t.toFloat(),x,0,z);s=He(-x,p),i=le({startPoint:r.startPoint,endPoint:r.endPoint},v,[this.meshSize,this.meshSize]).div(255)}let M={coords:T,box:r,faceConfidence:g,boxConfidence:o,image:i,rawCoords:l},R=Ze(r);return this.storedBoxes[h]={...R,landmarks:d,confidence:r.confidence,faceConfidence:g},M}));return c=c.filter(r=>r!==null),n.face.mesh.enabled&&(this.storedBoxes=this.storedBoxes.filter(r=>r.faceConfidence>n.face.detector.minConfidence)),this.detectedFaces=c.length,c}calculateLandmarksBoundingBox(t){let n=t.map(r=>r[0]),A=t.map(r=>r[1]),_=[Math.min(...n),Math.min(...A)],c=[Math.max(...n),Math.max(...A)];return{startPoint:_,endPoint:c,landmarks:t}}};var M1=class{constructor(t,n,A,_){this.facePipeline=new g1(t,n,A),this.config=_}async estimateFaces(t,n){let A=await this.facePipeline.predict(t,n),_=[];for(let c of A||[]){if(c.isDisposedInternal)continue;let r=c.coords?c.coords.arraySync():[],h=r.map(s=>[s[0]/t.shape[2],s[1]/t.shape[1],s[2]/this.facePipeline.meshSize]),o={};if(r&&r.length>0)for(let s of Object.keys(ee))o[s]=ee[s].map(w=>r[w]);let i=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:i,boxRaw:x,mesh:r,meshRaw:h,annotations:o,image:c.image?c.image.clone():null}),c.coords&&c.coords.dispose(),c.image&&c.image.dispose()}return _}},O=[null,null,null];async function z1(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?x0(e):null,!O[1]&&e.face.mesh.enabled?P1.loadGraphModel(k(e.modelBasePath,e.face.mesh.modelPath),{fromTFHub:e.face.mesh.modelPath.includes("tfhub.dev")}):null,!O[2]&&e.face.iris.enabled?P1.loadGraphModel(k(e.modelBasePath,e.face.iris.modelPath),{fromTFHub:e.face.iris.modelPath.includes("tfhub.dev")}):null]),e.face.mesh.enabled&&(!O[1]||!O[1].modelUrl?m("load model failed:",e.face.mesh.modelPath):e.debug&&m("load model:",O[1].modelUrl)),e.face.iris.enabled&&(!O[2]||!O[1].modelUrl?m("load model failed:",e.face.iris.modelPath):e.debug&&m("load model:",O[2].modelUrl))):e.debug&&(m("cached model:",O[0].model.modelUrl),m("cached model:",O[1].modelUrl),m("cached model:",O[2].modelUrl)),new M1(O[0],O[1],O[2],e)}var p0=ie,b0=be;var W1={};$(W1,{load:()=>I1,predict:()=>N1});var Ce=V(L());var ge=["nose","leftEye","rightEye","leftEar","rightEar","leftShoulder","rightShoulder","leftElbow","rightElbow","leftWrist","rightWrist","leftHip","rightHip","leftKnee","rightKnee","leftAnkle","rightAnkle"],g0=ge.length,Te=ge.reduce((e,t,n)=>(e[t]=n,e),{}),vt=[["leftHip","leftShoulder"],["leftElbow","leftShoulder"],["leftElbow","leftWrist"],["leftHip","leftKnee"],["leftKnee","leftAnkle"],["rightHip","rightShoulder"],["rightElbow","rightShoulder"],["rightElbow","rightWrist"],["rightHip","rightKnee"],["rightKnee","rightAnkle"],["leftShoulder","rightShoulder"],["leftHip","rightHip"]],Rt=vt.map(([e,t])=>[Te[e],Te[t]]),T0=[["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 P0(e){let t=e.reduce(({maxX:n,maxY:A,minX:_,minY:c},{position:{x:r,y:h}})=>({maxX:Math.max(n,r),maxY:Math.max(A,h),minX:Math.min(_,r),minY:Math.min(c,h)}),{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 M0(e,[t,n],[A,_]){let c=(h,o,i)=>({score:h.score,box:[Math.trunc(h.box[0]*i),Math.trunc(h.box[1]*o),Math.trunc(h.box[2]*i),Math.trunc(h.box[3]*o)],keypoints:h.keypoints.map(({score:x,part:s,position:w})=>({score:x,part:s,position:{x:Math.trunc(w.x*i),y:Math.trunc(w.y*o)}}))});return e.map(h=>c(h,t/A,n/_))}var E1=class{constructor(t,n){this.priorityQueue=new Array(t),this.numberOfElements=-1,this.getElementValue=n}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 n=2*t;if(n<this.numberOfElements&&this.less(n,n+1)&&n++,!this.less(t,n))break;this.exchange(t,n),t=n}}getValueAt(t){return this.getElementValue(this.priorityQueue[t])}less(t,n){return this.getValueAt(t)<this.getValueAt(n)}exchange(t,n){let A=this.priorityQueue[t];this.priorityQueue[t]=this.priorityQueue[n],this.priorityQueue[n]=A}};function v1(e,t,n,A){return{y:A.get(e,t,n),x:A.get(e,t,n+g0)}}function R1(e,t,n){let{heatmapY:A,heatmapX:_,id:c}=e,{y:r,x:h}=v1(A,_,c,n);return{x:e.heatmapX*t+h,y:e.heatmapY*t+r}}function S1(e,t,n){return e<t?t:e>n?n:e}function z0(e,t,n,A){let _=n-e,c=A-t;return _*_+c*c}function j1(e,t){return{x:e.x+t.x,y:e.y+t.y}}var qe=1,E0=16,St=20**2;function v0(e,t,n,A,_,c,r,h=2){let o=T=>({y:r.get(T.y,T.x,e),x:r.get(T.y,T.x,r.shape[2]/2+e)}),i=(T,M,R)=>({y:S1(Math.round(T.y/c),0,M-1),x:S1(Math.round(T.x/c),0,R-1)}),[x,s]=A.shape,w=i(t.position,x,s),f=o(w),a=j1(t.position,f);for(let T=0;T<h;T++){let M=i(a,x,s),R=v1(M.y,M.x,n,_);a=j1({x:M.x*c,y:M.y*c},{x:R.x,y:R.y})}let l=i(a,x,s),d=A.get(l.y,l.x,n);return{position:a,part:ge[n],score:d}}function jt(e,t,n,A,_,c){let r=T0.map(([a,l])=>[Te[a],Te[l]]),h=r.map(([,a])=>a),o=r.map(([a])=>a),i=t.shape[2],x=h.length,s=new Array(i),{part:w,score:f}=e,g=R1(w,A,n);s[w.id]={score:f,part:ge[w.id],position:g};for(let a=x-1;a>=0;--a){let l=h[a],d=o[a];s[l]&&!s[d]&&(s[d]=v0(a,s[l],d,t,n,A,c))}for(let a=0;a<x;++a){let l=o[a],d=h[a];s[l]&&!s[d]&&(s[d]=v0(a,s[l],d,t,n,A,_))}return s}function Wt(e,t,n,A,_){let[c,r]=_.shape,h=!0,o=Math.max(n-qe,0),i=Math.min(n+qe+1,c);for(let x=o;x<i;++x){let s=Math.max(A-qe,0),w=Math.min(A+qe+1,r);for(let f=s;f<w;++f)if(_.get(x,f,e)>t){h=!1;break}if(!h)break}return h}function Nt(e,t){let[n,A,_]=t.shape,c=new E1(n*A*_,({score:r})=>r);for(let r=0;r<n;++r)for(let h=0;h<A;++h)for(let o=0;o<_;++o){let i=t.get(r,h,o);i<e||Wt(o,i,r,h,t)&&c.enqueue({score:i,part:{heatmapY:r,heatmapX:h,id:o}})}return c}function R0(e,{x:t,y:n},A){return e.some(({keypoints:_})=>{let c=_[A].position;return z0(n,t,c.y,c.x)<=St})}function It(e,t){return t.reduce((A,{position:_,score:c},r)=>(R0(e,_,r)||(A+=c),A),0)/t.length}function S0(e,t,n,A,_,c){let r=[],h=Nt(c,t);for(;r.length<_&&!h.empty();){let o=h.dequeue(),i=R1(o.part,E0,e);if(R0(r,i,o.part.id))continue;let s=jt(o,t,e,E0,n,A).filter(g=>g.score>c),w=It(r,s),f=P0(s);w>c&&r.push({keypoints:s,box:f,score:Math.round(100*w)/100})}return r}var G,Ot=["MobilenetV1/offset_2/BiasAdd","MobilenetV1/heatmap_2/BiasAdd","MobilenetV1/displacement_fwd_2/BiasAdd","MobilenetV1/displacement_bwd_2/BiasAdd"];async function N1(e,t){let n=Ce.tidy(()=>{let h=e.resizeBilinear([G.inputs[0].shape[2],G.inputs[0].shape[1]]).toFloat().div(127.5).sub(1),i=G.execute(h,Ot).map(x=>x.squeeze([0]));return i[1]=i[1].sigmoid(),i}),A=await Promise.all(n.map(r=>r.buffer()));for(let r of n)r.dispose();let _=await S0(A[0],A[1],A[2],A[3],t.body.maxDetected,t.body.minConfidence);return M0(_,[e.shape[1],e.shape[2]],[G.inputs[0].shape[2],G.inputs[0].shape[1]])}async function I1(e){return G?e.debug&&m("cached model:",G.modelUrl):(G=await Ce.loadGraphModel(k(e.modelBasePath,e.body.modelPath)),!G||!G.modelUrl?m("load model failed:",e.body.modelPath):e.debug&&m("load model:",G.modelUrl)),G}var V1={};$(V1,{HandPose:()=>F1,load:()=>q1});var H1=V(L());var P=V(L());var j0=V(L());function Be(e){return[Math.abs(e.endPoint[0]-e.startPoint[0]),Math.abs(e.endPoint[1]-e.startPoint[1])]}function Pe(e){return[e.startPoint[0]+(e.endPoint[0]-e.startPoint[0])/2,e.startPoint[1]+(e.endPoint[1]-e.startPoint[1])/2]}function W0(e,t,n){let A=t.shape[1],_=t.shape[2],c=[[e.startPoint[1]/A,e.startPoint[0]/_,e.endPoint[1]/A,e.endPoint[0]/_]];return j0.image.cropAndResize(t,c,[0],n)}function N0(e,t){let n=[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:n,endPoint:A,palmLandmarks:_,confidence:e.confidence}}function Ue(e,t=1.5){let n=Pe(e),A=Be(e),_=[t*A[0]/2,t*A[1]/2],c=[n[0]-_[0],n[1]-_[1]],r=[n[0]+_[0],n[1]+_[1]];return{startPoint:c,endPoint:r,palmLandmarks:e.palmLandmarks}}function Ye(e){let t=Pe(e),n=Be(e),_=Math.max(...n)/2,c=[t[0]-_,t[1]-_],r=[t[0]+_,t[1]+_];return{startPoint:c,endPoint:r,palmLandmarks:e.palmLandmarks}}var O1=class{constructor(t,n,A){this.model=t,this.anchors=A.map(_=>[_.x_center,_.y_center]),this.anchorsTensor=P.tensor2d(this.anchors),this.inputSize=n,this.inputSizeTensor=P.tensor1d([n,n]),this.doubleInputSizeTensor=P.tensor1d([n*2,n*2])}normalizeBoxes(t){return P.tidy(()=>{let n=P.slice(t,[0,0],[-1,2]),A=P.slice(t,[0,2],[-1,2]),_=P.add(P.div(n,this.inputSizeTensor),this.anchorsTensor),c=P.div(A,this.doubleInputSizeTensor),r=P.mul(P.sub(_,c),this.inputSizeTensor),h=P.mul(P.add(_,c),this.inputSizeTensor);return P.concat2d([r,h],1)})}normalizeLandmarks(t,n){return P.tidy(()=>{let A=P.add(P.div(t.reshape([-1,7,2]),this.inputSizeTensor),this.anchors[n]);return P.mul(A,this.inputSizeTensor)})}async getBoxes(t,n){let A=this.model.predict(t),_=A.squeeze();A.dispose();let c=P.tidy(()=>P.sigmoid(P.slice(_,[0,0],[-1,1])).squeeze()),r=c.dataSync(),h=P.slice(_,[0,1],[-1,4]),o=this.normalizeBoxes(h);h.dispose();let i=await P.image.nonMaxSuppressionAsync(o,r,n.hand.maxDetected,n.hand.iouThreshold,n.hand.minConfidence),x=i.arraySync();c.dispose(),i.dispose();let s=[];for(let w of x)if(r[w]>=n.hand.minConfidence){let f=P.slice(o,[w,0],[1,-1]),g=P.slice(_,[w,5],[1,14]),a=P.tidy(()=>this.normalizeLandmarks(g,w).reshape([-1,2]));g.dispose(),s.push({box:f,palmLandmarks:a,confidence:r[w]})}return _.dispose(),o.dispose(),s}async estimateHandBounds(t,n){let A=t.shape[1],_=t.shape[2],c=P.tidy(()=>t.resizeBilinear([this.inputSize,this.inputSize]).div(127.5).sub(1)),r=await this.getBoxes(c,n);c.dispose();let h=[];if(!r||r.length===0)return h;for(let o of r){let i=o.box.dataSync(),x=i.slice(0,2),s=i.slice(2,4),w=o.palmLandmarks.arraySync();o.box.dispose(),o.palmLandmarks.dispose(),h.push(N0({startPoint:x,endPoint:s,palmLandmarks:w,confidence:o.confidence},[_/this.inputSize,A/this.inputSize]))}return h}};var Je=V(L());function kt(e){return e-2*Math.PI*Math.floor((e+Math.PI)/(2*Math.PI))}function I0(e,t){let n=Math.PI/2-Math.atan2(-(t[1]-e[1]),t[0]-e[0]);return kt(n)}var O0=(e,t)=>[[1,0,e],[0,1,t],[0,0,1]];function ce(e,t){let n=0;for(let A=0;A<e.length;A++)n+=e[A]*t[A];return n}function Lt(e,t){let n=[];for(let A=0;A<e.length;A++)n.push(e[A][t]);return n}function k0(e,t){let n=[],A=e.length;for(let _=0;_<A;_++){n.push([]);for(let c=0;c<A;c++)n[_].push(ce(e[_],Lt(t,c)))}return n}function k1(e,t){let n=Math.cos(e),A=Math.sin(e),_=[[n,-A,0],[A,n,0],[0,0,1]],c=O0(t[0],t[1]),r=k0(c,_),h=O0(-t[0],-t[1]);return k0(r,h)}function L0(e){let t=[[e[0][0],e[1][0]],[e[0][1],e[1][1]]],n=[e[0][2],e[1][2]],A=[-ce(t[0],n),-ce(t[1],n)];return[t[0].concat(A[0]),t[1].concat(A[1]),[0,0,1]]}function L1(e,t){return[ce(e,t[0]),ce(e,t[1])]}var Zt=5,Z0=1.65,V0=[0,5,9,13,17,1,2],Vt=0,Ht=2,Z1=class{constructor(t,n,A){this.handDetector=t,this.landmarkDetector=n,this.inputSize=A,this.storedBoxes=[],this.skipped=0,this.detectedHands=0}getBoxForPalmLandmarks(t,n){let A=t.map(c=>L1([...c,1],n)),_=this.calculateLandmarksBoundingBox(A);return Ue(Ye(_),Zt)}getBoxForHandLandmarks(t){let n=this.calculateLandmarksBoundingBox(t),A=Ue(Ye(n),Z0);A.palmLandmarks=[];for(let _=0;_<V0.length;_++)A.palmLandmarks.push(t[V0[_]].slice(0,2));return A}transformRawCoords(t,n,A,_){let c=Be(n),r=[c[0]/this.inputSize,c[1]/this.inputSize,(c[0]+c[1])/this.inputSize/2],h=t.map(f=>[r[0]*(f[0]-this.inputSize/2),r[1]*(f[1]-this.inputSize/2),r[2]*f[2]]),o=k1(A,[0,0]),i=h.map(f=>[...L1(f,o),f[2]]),x=L0(_),s=[...Pe(n),1],w=[ce(s,x[0]),ce(s,x[1])];return i.map(f=>[f[0]+w[0],f[1]+w[1],f[2]])}async estimateHands(t,n){let A=!1,_;(this.skipped===0||this.skipped>n.hand.skipFrames||!n.hand.landmarks||!n.videoOptimized)&&(_=await this.handDetector.estimateHandBounds(t,n),this.skipped=0),n.videoOptimized&&this.skipped++,_&&_.length>0&&(_.length!==this.detectedHands&&this.detectedHands!==n.hand.maxDetected||!n.hand.landmarks)&&(this.detectedHands=0,this.storedBoxes=[..._],this.storedBoxes.length>0&&(A=!0));let c=[];n.hand.skipInitial&&this.detectedHands===0&&(this.skipped=0);for(let r=0;r<this.storedBoxes.length;r++){let h=this.storedBoxes[r];if(!!h)if(n.hand.landmarks){let o=n.hand.rotation?I0(h.palmLandmarks[Vt],h.palmLandmarks[Ht]):0,i=Pe(h),x=[i[0]/t.shape[2],i[1]/t.shape[1]],s=n.hand.rotation?Je.image.rotateWithOffset(t,o,0,x):t.clone(),w=k1(-o,i),f=A?this.getBoxForPalmLandmarks(h.palmLandmarks,w):h,g=W0(f,s,[this.inputSize,this.inputSize]),a=g.div(255);g.dispose(),s.dispose();let[l,d]=await this.landmarkDetector.predict(a);a.dispose();let T=l.dataSync()[0];if(l.dispose(),T>=n.hand.minConfidence){let M=Je.reshape(d,[-1,3]),R=M.arraySync();d.dispose(),M.dispose();let u=this.transformRawCoords(R,f,o,w),y=this.getBoxForHandLandmarks(u);this.storedBoxes[r]=y;let p={landmarks:u,confidence:T,box:{topLeft:y.startPoint,bottomRight:y.endPoint}};c.push(p)}else this.storedBoxes[r]=null;d.dispose()}else{let o=Ue(Ye(h),Z0),i={confidence:h.confidence,box:{topLeft:o.startPoint,bottomRight:o.endPoint}};c.push(i)}}return this.storedBoxes=this.storedBoxes.filter(r=>r!==null),this.detectedHands=c.length,c}calculateLandmarksBoundingBox(t){let n=t.map(r=>r[0]),A=t.map(r=>r[1]),_=[Math.min(...n),Math.min(...A)],c=[Math.max(...n),Math.max(...A)];return{startPoint:_,endPoint:c}}};var 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X0=["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"],F0=["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 B1(e){return C?e.debug&&m("cached model:",C.modelUrl):(C=await me.loadGraphModel(k(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?m("load model failed:",e.body.modelPath):e.debug&&m("load model:",C.modelUrl)),C}async function U1(e,t){if(!C||!t.body.enabled)return null;let n={width:e.shape[2],height:e.shape[1]},A=me.image.resizeBilinear(e,[C.width,C.height],!1),_=me.div(A,[255]);A.dispose();let c=await C.predict(_),r=c.find(s=>s.size===195||s.size===155).dataSync();c.forEach(s=>s.dispose()),_.dispose();let h=[],o=r.length===195?X0:F0,i=5;for(let s=0;s<r.length/i;s++)h.push({id:s,part:o[s],position:{x:Math.trunc(n.width*r[i*s+0]/255),y:Math.trunc(n.height*r[i*s+1]/255),z:Math.trunc(r[i*s+2])+0},score:(100-Math.trunc(100/(1+Math.exp(r[i*s+3]))))/100,presence:(100-Math.trunc(100/(1+Math.exp(r[i*s+4]))))/100});return[{score:h.reduce((s,w)=>w.score>s?w.score:s,0),keypoints:h}]}var 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Promise.all([this.models.face||(this.config.face.enabled?z1(this.config):null),this.models.emotion||(this.config.face.enabled&&this.config.face.emotion.enabled?x1(this.config):null),this.models.handpose||(this.config.hand.enabled?q1(this.config):null),this.models.posenet||(this.config.body.enabled&&this.config.body.modelPath.includes("posenet")?I1(this.config):null),this.models.blazepose||(this.config.body.enabled&&this.config.body.modelPath.includes("blazepose")?B1(this.config):null),this.models.nanodet||(this.config.object.enabled?K1(this.config):null),this.models.faceres||(this.config.face.enabled&&this.config.face.description.enabled?w1(this.config):null)]):(this.config.face.enabled&&!this.models.face&&(this.models.face=await z1(this.config)),this.config.face.enabled&&this.config.face.emotion.enabled&&!this.models.emotion&&(this.models.emotion=await x1(this.config)),this.config.hand.enabled&&!this.models.handpose&&(this.models.handpose=await 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h;t&&this.config.videoOptimized&&typeof window!="undefined"&&typeof WorkerGlobalScope!="undefined"&&(typeof HTMLImageElement!="undefined"&&t instanceof HTMLImageElement||typeof Image!="undefined"&&t instanceof Image||typeof ImageData!="undefined"&&t instanceof ImageData||typeof ImageBitmap!="undefined"&&G1 instanceof ImageBitmap)&&(m("disabling video optimization"),h=this.config.videoOptimized,this.config.videoOptimized=!1),_=S();let o=Q1(t,this.config);if(!o||!o.tensor){m("could not convert input to tensor"),A({error:"could not convert input to tensor"});return}this.perf.image=Math.trunc(S()-_),this.analyze("Get Image:");let i,x,s,w,f;this.config.async?(s=this.config.face.enabled?f1(this,o.tensor):[],this.perf.face&&delete this.perf.face):(this.state="run:face",_=S(),s=this.config.face.enabled?await f1(this,o.tensor):[],f=Math.trunc(S()-_),f>0&&(this.perf.face=f)),this.analyze("Start 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Hand:"),this.analyze("Start Object:"),this.config.async?(w=this.config.object.enabled?D1(o.tensor,this.config):[],this.perf.object&&delete this.perf.object):(this.state="run:object",_=S(),w=this.config.object.enabled?await D1(o.tensor,this.config):[],f=Math.trunc(S()-_),f>0&&(this.perf.object=f)),this.analyze("End Object:"),this.config.async&&([s,i,x,w]=await Promise.all([s,i,x,w])),ze.dispose(o.tensor);let g=[];this.config.gesture.enabled&&(_=S(),g=[...C0(s),...q0(i),...U0(x),...B0(s)],this.config.async?this.perf.gesture&&delete this.perf.gesture:this.perf.gesture=Math.trunc(S()-_)),h&&(this.config.videoOptimized=h),this.perf.total=Math.trunc(S()-r),this.state="idle";let a={face:s,body:i,hand:x,gesture:g,object:w,performance:this.perf,canvas:o.canvas};A(a)})}async warmup(t={}){let n=S();if(t&&(this.config=Y(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 D(this,r1).call(this):typeof Image!="undefined"?_=await D(this,A1).call(this):_=await D(this,c1).call(this),this.config.videoOptimized=A;let c=S();return this.config.debug&&m("Warmup",this.config.warmup,Math.round(c-n),"ms",_),_}};ue=new WeakMap,Ee=new WeakMap,ve=new WeakMap,ye=new WeakMap,n1=new WeakMap,Re=new WeakMap,r1=new WeakMap,A1=new WeakMap,c1=new WeakMap;0&&(module.exports={Human});