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

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Et=[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],Rt=[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],vt=[33,133,362,263,1,78,308],ln=Et.map(t=>ge[t]),dn=Rt.map(t=>ge[t]),fn=vt.map(t=>ge[t]);var T1=te.leftEyeLower0,P1=te.rightEyeLower0,me={leftBounds:[T1[0],T1[T1.length-1]],rightBounds:[P1[0],P1[P1.length-1]]},Be={count:468,mouth:13,symmetryLine:[13,te.midwayBetweenEyes[0]]},g0={leftEye:0,rightEye:1,nose:2,mouth:3,leftEar:4,rightEar:5,symmetryLine:[3,2]},ue={upperCenter:3,lowerCenter:4,index:71,numCoordinates:76};function Ue(t,e,r,A){for(let _=0;_<g1.length;_++){let{key:c,indices:n}=g1[_],h=te[`${r}${c}`];if(!A||A.includes(c))for(let o=0;o<n.length;o++){let i=n[o];t[h[o]]=[e[i][0],e[i][1],(e[i][2]+t[h[o]][2])/2]}}}var M1=class{constructor(e,r,A){var _,c;this.storedBoxes=[],this.boundingBoxDetector=e,this.meshDetector=r,this.irisModel=A,this.boxSize=((_=e==null?void 0:e.model)==null?void 0:_.inputs[0].shape[2])||0,this.meshSize=(r==null?void 0:r.inputs[0].shape[2])||((c=e==null?void 0:e.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(e,r,A,_){let c=be({startPoint:r.startPoint,endPoint:r.endPoint}),n=e.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?qe(A,[0,0]):Fe,o=A!==0?n.map(s=>[...b0(s,h),s[2]]):n,i=A!==0?p0(_):Fe,x=[...de({startPoint:r.startPoint,endPoint:r.endPoint}),1];return o.map(s=>[s[0]+ce(x,i[0]),s[1]+ce(x,i[1]),s[2]])}getLeftToRightEyeDepthDifference(e){let r=e[me.leftBounds[0]][2],A=e[me.rightBounds[0]][2];return r-A}getEyeBox(e,r,A,_,c=!1){let n=Xe(Ve(this.calculateLandmarksBoundingBox([e[A],e[_]]),this.irisEnlarge)),h=be(n),o=V.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&&V.ENV.flags.IS_BROWSER&&(o=V.image.flipLeftRight(o)),{box:n,boxSize:h,crop:o}}getEyeCoords(e,r,A,_=!1){let c=[];for(let n=0;n<ue.numCoordinates;n++){let h=e[n*3],o=e[n*3+1],i=e[n*3+2];c.push([(_?1-h/this.irisSize:h/this.irisSize)*A[0]+r.startPoint[0],o/this.irisSize*A[1]+r.startPoint[1],i])}return{rawCoords:c,iris:c.slice(ue.index)}}getAdjustedIrisCoords(e,r,A){let _=e[te[`${A}EyeUpper0`][ue.upperCenter]][2],c=e[te[`${A}EyeLower0`][ue.lowerCenter]][2],n=(_+c)/2;return r.map((h,o)=>{let i=n;return o===2?i=_:o===4&&(i=c),[h[0],h[1],i]})}async predict(e,r){let A=!1,_;if((this.skipped===0||this.skipped>r.face.detector.skipFrames||!r.face.mesh.enabled||!r.videoOptimized)&&(_=await this.boundingBoxDetector.getBoundingBoxes(e),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 h=f0({startPoint:this.storedBoxes[n].startPoint,endPoint:this.storedBoxes[n].endPoint},_.scaleFactor),o=Ve(h),i=Xe(o),x=this.storedBoxes[n].landmarks.arraySync(),s=this.storedBoxes[n].confidence;this.storedBoxes[n]={...i,confidence:s,landmarks:x}}}_&&_.boxes&&_.boxes.forEach(n=>{n.box.startPoint.dispose(),n.box.endPoint.dispose(),n.landmarks.dispose()});let c=V.tidy(()=>this.storedBoxes.map((n,h)=>{let o=n.confidence,i,x=0,s;if(r.face.detector.rotation&&r.face.mesh.enabled&&V.ENV.flags.IS_BROWSER){let[u,y]=n.landmarks.length>=Be.count?Be.symmetryLine:g0.symmetryLine;x=b1(n.landmarks[u],n.landmarks[y]);let p=de({startPoint:n.startPoint,endPoint:n.endPoint}),z=[p[0]/e.shape[2],p[1]/e.shape[1]],R=V.image.rotateWithOffset(e,x,0,z);s=qe(-x,p),r.face.mesh.enabled?i=fe({startPoint:n.startPoint,endPoint:n.endPoint},R,[this.meshSize,this.meshSize]).div(255):i=fe({startPoint:n.startPoint,endPoint:n.endPoint},R,[this.boxSize,this.boxSize]).div(255)}else{s=Fe;let u=e.clone();r.face.mesh.enabled?i=fe({startPoint:n.startPoint,endPoint:n.endPoint},u,[this.meshSize,this.meshSize]).div(255):i=fe({startPoint:n.startPoint,endPoint:n.endPoint},u,[this.boxSize,this.boxSize]).div(255)}if(!r.face.mesh.enabled)return{coords:null,box:n,faceConfidence:null,boxConfidence:o,confidence:n.confidence,image:i};let[,w,d]=this.meshDetector.predict(i),b=w.dataSync()[0];if(b<r.face.detector.minConfidence)return null;let l=V.reshape(d,[-1,3]).arraySync();if(r.face.iris.enabled){let{box:u,boxSize:y,crop:p}=this.getEyeBox(l,i,me.leftBounds[0],me.leftBounds[1],!0),{box:z,boxSize:R,crop:I}=this.getEyeBox(l,i,me.rightBounds[0],me.rightBounds[1]),U=this.irisModel.predict(V.concat([p,I])).dataSync(),s1=U.slice(0,ue.numCoordinates*3),{rawCoords:je,iris:ie}=this.getEyeCoords(s1,u,y,!0),At=U.slice(ue.numCoordinates*3),{rawCoords:A0,iris:ct}=this.getEyeCoords(At,z,R),c0=this.getLeftToRightEyeDepthDifference(l);Math.abs(c0)<30?(Ue(l,je,"left",null),Ue(l,A0,"right",null)):c0<1?Ue(l,je,"left",["EyeUpper0","EyeLower0"]):Ue(l,A0,"right",["EyeUpper0","EyeLower0"]);let _t=this.getAdjustedIrisCoords(l,ie,"left"),ht=this.getAdjustedIrisCoords(l,ct,"right");l=l.concat(_t).concat(ht)}let f=this.transformRawCoords(l,n,x,s);n=Ve(this.calculateLandmarksBoundingBox(f),1.5);let T=V.tensor2d(f);if(r.face.detector.rotation&&r.face.mesh.enabled&&r.face.description.enabled&&V.ENV.flags.IS_BROWSER){let[u,y]=n.landmarks.length>=Be.count?Be.symmetryLine:g0.symmetryLine;x=b1(n.landmarks[u],n.landmarks[y]);let p=de({startPoint:n.startPoint,endPoint:n.endPoint}),z=[p[0]/e.shape[2],p[1]/e.shape[1]],R=V.image.rotateWithOffset(e.toFloat(),x,0,z);s=qe(-x,p),i=fe({startPoint:n.startPoint,endPoint:n.endPoint},R,[this.meshSize,this.meshSize]).div(255)}let M={coords:T,box:n,faceConfidence:b,boxConfidence:o,image:i,rawCoords:l},v=Xe(n);return this.storedBoxes[h]={...v,landmarks:f,confidence:n.confidence,faceConfidence:b},M}));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(e){let r=e.map(n=>n[0]),A=e.map(n=>n[1]),_=[Math.min(...r),Math.min(...A)],c=[Math.max(...r),Math.max(...A)];return{startPoint:_,endPoint:c,landmarks:e}}};var R1=class{constructor(e,r,A,_){this.facePipeline=new M1(e,r,A),this.config=_}async estimateFaces(e,r){let A=await this.facePipeline.predict(e,r),_=[];for(let c of A||[]){if(c.isDisposedInternal)continue;let n=c.coords?c.coords.arraySync():[],h=n.map(s=>[s[0]/e.shape[2],s[1]/e.shape[1],s[2]/this.facePipeline.meshSize]),o={};if(n&&n.length>0)for(let s of Object.keys(te))o[s]=te[s].map(w=>n[w]);let i=c.box?[Math.max(0,c.box.startPoint[0]),Math.max(0,c.box.startPoint[1]),Math.min(e.shape[2],c.box.endPoint[0])-Math.max(0,c.box.startPoint[0]),Math.min(e.shape[1],c.box.endPoint[1])-Math.max(0,c.box.startPoint[1])]:0,x=c.box?[c.box.startPoint[0]/e.shape[2],c.box.startPoint[1]/e.shape[1],(c.box.endPoint[0]-c.box.startPoint[0])/e.shape[2],(c.box.endPoint[1]-c.box.startPoint[1])/e.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:n,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 v1(t){return!O[0]&&t.face.enabled||!O[1]&&t.face.mesh.enabled||!O[2]&&t.face.iris.enabled?(O=await Promise.all([!O[0]&&t.face.enabled?l0(t):null,!O[1]&&t.face.mesh.enabled?E1.loadGraphModel(k(t.modelBasePath,t.face.mesh.modelPath),{fromTFHub:t.face.mesh.modelPath.includes("tfhub.dev")}):null,!O[2]&&t.face.iris.enabled?E1.loadGraphModel(k(t.modelBasePath,t.face.iris.modelPath),{fromTFHub:t.face.iris.modelPath.includes("tfhub.dev")}):null]),t.face.mesh.enabled&&(!O[1]||!O[1].modelUrl?m("load model failed:",t.face.mesh.modelPath):t.debug&&m("load model:",O[1].modelUrl)),t.face.iris.enabled&&(!O[2]||!O[1].modelUrl?m("load model failed:",t.face.iris.modelPath):t.debug&&m("load model:",O[2].modelUrl))):t.debug&&(m("cached model:",O[0].model.modelUrl),m("cached model:",O[1].modelUrl),m("cached model:",O[2].modelUrl)),new R1(O[0],O[1],O[2],t)}var T0=xe,P0=ge;var O1={};ee(O1,{load:()=>L1,predict:()=>k1});var Je=X(Z());var Te=["nose","leftEye","rightEye","leftEar","rightEar","leftShoulder","rightShoulder","leftElbow","rightElbow","leftWrist","rightWrist","leftHip","rightHip","leftKnee","rightKnee","leftAnkle","rightAnkle"],M0=Te.length,Pe=Te.reduce((t,e,r)=>(t[e]=r,t),{}),St=[["leftHip","leftShoulder"],["leftElbow","leftShoulder"],["leftElbow","leftWrist"],["leftHip","leftKnee"],["leftKnee","leftAnkle"],["rightHip","rightShoulder"],["rightElbow","rightShoulder"],["rightElbow","rightWrist"],["rightHip","rightKnee"],["rightKnee","rightAnkle"],["leftShoulder","rightShoulder"],["leftHip","rightHip"]],jt=St.map(([t,e])=>[Pe[t],Pe[e]]),z0=[["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 E0(t){let e=t.reduce(({maxX:r,maxY:A,minX:_,minY:c},{position:{x:n,y:h}})=>({maxX:Math.max(r,n),maxY:Math.max(A,h),minX:Math.min(_,n),minY:Math.min(c,h)}),{maxX:Number.NEGATIVE_INFINITY,maxY:Number.NEGATIVE_INFINITY,minX:Number.POSITIVE_INFINITY,minY:Number.POSITIVE_INFINITY});return[e.minX,e.minY,e.maxX-e.minX,e.maxY-e.minY]}function R0(t,[e,r],[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 t.map(h=>c(h,e/A,r/_))}var S1=class{constructor(e,r){this.priorityQueue=new Array(e),this.numberOfElements=-1,this.getElementValue=r}enqueue(e){this.priorityQueue[++this.numberOfElements]=e,this.swim(this.numberOfElements)}dequeue(){let e=this.priorityQueue[0];return this.exchange(0,this.numberOfElements--),this.sink(0),this.priorityQueue[this.numberOfElements+1]=null,e}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(e){for(;e>0&&this.less(Math.floor(e/2),e);)this.exchange(e,Math.floor(e/2)),e=Math.floor(e/2)}sink(e){for(;2*e<=this.numberOfElements;){let r=2*e;if(r<this.numberOfElements&&this.less(r,r+1)&&r++,!this.less(e,r))break;this.exchange(e,r),e=r}}getValueAt(e){return this.getElementValue(this.priorityQueue[e])}less(e,r){return this.getValueAt(e)<this.getValueAt(r)}exchange(e,r){let A=this.priorityQueue[e];this.priorityQueue[e]=this.priorityQueue[r],this.priorityQueue[r]=A}};function j1(t,e,r,A){return{y:A.get(t,e,r),x:A.get(t,e,r+M0)}}function W1(t,e,r){let{heatmapY:A,heatmapX:_,id:c}=t,{y:n,x:h}=j1(A,_,c,r);return{x:t.heatmapX*e+h,y:t.heatmapY*e+n}}function N1(t,e,r){return t<e?e:t>r?r:t}function v0(t,e,r,A){let _=r-t,c=A-e;return _*_+c*c}function I1(t,e){return{x:t.x+e.x,y:t.y+e.y}}var Ye=1,S0=16;function j0(t,e,r,A,_,c,n,h=2){let o=T=>({y:n.get(T.y,T.x,t),x:n.get(T.y,T.x,n.shape[2]/2+t)}),i=(T,M,v)=>({y:N1(Math.round(T.y/c),0,M-1),x:N1(Math.round(T.x/c),0,v-1)}),[x,s]=A.shape,w=i(e.position,x,s),d=o(w),a=I1(e.position,d);for(let T=0;T<h;T++){let M=i(a,x,s),v=j1(M.y,M.x,r,_);a=I1({x:M.x*c,y:M.y*c},{x:v.x,y:v.y})}let l=i(a,x,s),f=A.get(l.y,l.x,r);return{position:a,part:Te[r],score:f}}function Wt(t,e,r,A,_,c){let n=z0.map(([a,l])=>[Pe[a],Pe[l]]),h=n.map(([,a])=>a),o=n.map(([a])=>a),i=e.shape[2],x=h.length,s=new Array(i),{part:w,score:d}=t,b=W1(w,A,r);s[w.id]={score:d,part:Te[w.id],position:b};for(let a=x-1;a>=0;--a){let l=h[a],f=o[a];s[l]&&!s[f]&&(s[f]=j0(a,s[l],f,e,r,A,c))}for(let a=0;a<x;++a){let l=o[a],f=h[a];s[l]&&!s[f]&&(s[f]=j0(a,s[l],f,e,r,A,_))}return s}function Nt(t,e,r,A,_){let[c,n]=_.shape,h=!0,o=Math.max(r-Ye,0),i=Math.min(r+Ye+1,c);for(let x=o;x<i;++x){let s=Math.max(A-Ye,0),w=Math.min(A+Ye+1,n);for(let d=s;d<w;++d)if(_.get(x,d,t)>e){h=!1;break}if(!h)break}return h}function It(t,e){let[r,A,_]=e.shape,c=new S1(r*A*_,({score:n})=>n);for(let n=0;n<r;++n)for(let h=0;h<A;++h)for(let o=0;o<_;++o){let i=e.get(n,h,o);i<t||Nt(o,i,n,h,e)&&c.enqueue({score:i,part:{heatmapY:n,heatmapX:h,id:o}})}return c}function W0(t,e,{x:r,y:A},_){return t.some(({keypoints:c})=>{let n=c[_].position;return v0(A,r,n.y,n.x)<=e})}function Ot(t,e,r){return r.reduce((_,{position:c,score:n},h)=>(W0(t,e,c,h)||(_+=n),_),0)/r.length}function N0(t,e,r,A,_,c,n){let h=[],o=It(n,e),i=_**2;for(;h.length<c&&!o.empty();){let x=o.dequeue(),s=W1(x.part,S0,t);if(W0(h,i,s,x.part.id))continue;let d=Wt(x,e,t,S0,r,A).filter(l=>l.score>n),b=Ot(h,i,d),a=E0(d);b>n&&h.push({keypoints:d,box:a,score:Math.round(100*b)/100})}return h}var Q,kt=["MobilenetV1/offset_2/BiasAdd","MobilenetV1/heatmap_2/BiasAdd","MobilenetV1/displacement_fwd_2/BiasAdd","MobilenetV1/displacement_bwd_2/BiasAdd"];async function k1(t,e){let r=Je.tidy(()=>{let h=t.resizeBilinear([Q.inputs[0].shape[2],Q.inputs[0].shape[1]]).toFloat().div(127.5).sub(1),i=Q.execute(h,kt).map(x=>x.squeeze([0]));return i[1]=i[1].sigmoid(),i}),A=await Promise.all(r.map(n=>n.buffer()));for(let n of r)n.dispose();let _=await N0(A[0],A[1],A[2],A[3],e.body.nmsRadius,e.body.maxDetections,e.body.scoreThreshold);return R0(_,[t.shape[1],t.shape[2]],[Q.inputs[0].shape[2],Q.inputs[0].shape[1]])}async function L1(t){return Q?t.debug&&m("cached model:",Q.modelUrl):(Q=await Je.loadGraphModel(k(t.modelBasePath,t.body.modelPath)),!Q||!Q.modelUrl?m("load model failed:",t.body.modelPath):t.debug&&m("load model:",Q.modelUrl)),Q}var F1={};ee(F1,{HandPose:()=>U1,load:()=>Y1});var q1=X(Z());var P=X(Z());var I0=X(Z());function Ce(t){return[Math.abs(t.endPoint[0]-t.startPoint[0]),Math.abs(t.endPoint[1]-t.startPoint[1])]}function Me(t){return[t.startPoint[0]+(t.endPoint[0]-t.startPoint[0])/2,t.startPoint[1]+(t.endPoint[1]-t.startPoint[1])/2]}function O0(t,e,r){let A=e.shape[1],_=e.shape[2],c=[[t.startPoint[1]/A,t.startPoint[0]/_,t.endPoint[1]/A,t.endPoint[0]/_]];return I0.image.cropAndResize(e,c,[0],r)}function k0(t,e){let r=[t.startPoint[0]*e[0],t.startPoint[1]*e[1]],A=[t.endPoint[0]*e[0],t.endPoint[1]*e[1]],_=t.palmLandmarks.map(c=>[c[0]*e[0],c[1]*e[1]]);return{startPoint:r,endPoint:A,palmLandmarks:_,confidence:t.confidence}}function Ke(t,e=1.5){let r=Me(t),A=Ce(t),_=[e*A[0]/2,e*A[1]/2],c=[r[0]-_[0],r[1]-_[1]],n=[r[0]+_[0],r[1]+_[1]];return{startPoint:c,endPoint:n,palmLandmarks:t.palmLandmarks}}function De(t){let e=Me(t),r=Ce(t),_=Math.max(...r)/2,c=[e[0]-_,e[1]-_],n=[e[0]+_,e[1]+_];return{startPoint:c,endPoint:n,palmLandmarks:t.palmLandmarks}}var Z1=class{constructor(e,r,A){this.model=e,this.anchors=A.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(e){return P.tidy(()=>{let r=P.slice(e,[0,0],[-1,2]),A=P.slice(e,[0,2],[-1,2]),_=P.add(P.div(r,this.inputSizeTensor),this.anchorsTensor),c=P.div(A,this.doubleInputSizeTensor),n=P.mul(P.sub(_,c),this.inputSizeTensor),h=P.mul(P.add(_,c),this.inputSizeTensor);return P.concat2d([n,h],1)})}normalizeLandmarks(e,r){return P.tidy(()=>{let A=P.add(P.div(e.reshape([-1,7,2]),this.inputSizeTensor),this.anchors[r]);return P.mul(A,this.inputSizeTensor)})}async getBoxes(e,r){let A=this.model.predict(e),_=A.squeeze();A.dispose();let c=P.tidy(()=>P.sigmoid(P.slice(_,[0,0],[-1,1])).squeeze()),n=c.dataSync(),h=P.slice(_,[0,1],[-1,4]),o=this.normalizeBoxes(h);h.dispose();let i=await P.image.nonMaxSuppressionAsync(o,n,r.hand.maxHands,r.hand.iouThreshold,r.hand.scoreThreshold),x=i.arraySync();c.dispose(),i.dispose();let s=[];for(let w of x)if(n[w]>=r.hand.minConfidence){let d=P.slice(o,[w,0],[1,-1]),b=P.slice(_,[w,5],[1,14]),a=P.tidy(()=>this.normalizeLandmarks(b,w).reshape([-1,2]));b.dispose(),s.push({box:d,palmLandmarks:a,confidence:n[w]})}return _.dispose(),o.dispose(),s}async estimateHandBounds(e,r){let A=e.shape[1],_=e.shape[2],c=P.tidy(()=>e.resizeBilinear([this.inputSize,this.inputSize]).div(127.5).sub(1)),n=await this.getBoxes(c,r);c.dispose();let h=[];if(!n||n.length===0)return h;for(let o of n){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(k0({startPoint:x,endPoint:s,palmLandmarks:w,confidence:o.confidence},[_/this.inputSize,A/this.inputSize]))}return h}};var Ge=X(Z());function Lt(t){return t-2*Math.PI*Math.floor((t+Math.PI)/(2*Math.PI))}function L0(t,e){let r=Math.PI/2-Math.atan2(-(e[1]-t[1]),e[0]-t[0]);return Lt(r)}var Z0=(t,e)=>[[1,0,t],[0,1,e],[0,0,1]];function _e(t,e){let r=0;for(let A=0;A<t.length;A++)r+=t[A]*e[A];return r}function Zt(t,e){let r=[];for(let A=0;A<t.length;A++)r.push(t[A][e]);return r}function H0(t,e){let r=[],A=t.length;for(let _=0;_<A;_++){r.push([]);for(let c=0;c<A;c++)r[_].push(_e(t[_],Zt(e,c)))}return r}function H1(t,e){let r=Math.cos(t),A=Math.sin(t),_=[[r,-A,0],[A,r,0],[0,0,1]],c=Z0(e[0],e[1]),n=H0(c,_),h=Z0(-e[0],-e[1]);return H0(n,h)}function V0(t){let e=[[t[0][0],t[1][0]],[t[0][1],t[1][1]]],r=[t[0][2],t[1][2]],A=[-_e(e[0],r),-_e(e[1],r)];return[e[0].concat(A[0]),e[1].concat(A[1]),[0,0,1]]}function V1(t,e){return[_e(t,e[0]),_e(t,e[1])]}var Ht=5,X0=1.65,F0=[0,5,9,13,17,1,2],Vt=0,Xt=2,X1=class{constructor(e,r,A){this.handDetector=e,this.landmarkDetector=r,this.inputSize=A,this.storedBoxes=[],this.skipped=0,this.detectedHands=0}getBoxForPalmLandmarks(e,r){let A=e.map(c=>V1([...c,1],r)),_=this.calculateLandmarksBoundingBox(A);return Ke(De(_),Ht)}getBoxForHandLandmarks(e){let r=this.calculateLandmarksBoundingBox(e),A=Ke(De(r),X0);A.palmLandmarks=[];for(let _=0;_<F0.length;_++)A.palmLandmarks.push(e[F0[_]].slice(0,2));return A}transformRawCoords(e,r,A,_){let c=Ce(r),n=[c[0]/this.inputSize,c[1]/this.inputSize,(c[0]+c[1])/this.inputSize/2],h=e.map(d=>[n[0]*(d[0]-this.inputSize/2),n[1]*(d[1]-this.inputSize/2),n[2]*d[2]]),o=H1(A,[0,0]),i=h.map(d=>[...V1(d,o),d[2]]),x=V0(_),s=[...Me(r),1],w=[_e(s,x[0]),_e(s,x[1])];return i.map(d=>[d[0]+w[0],d[1]+w[1],d[2]])}async estimateHands(e,r){let A=!1,_;(this.skipped===0||this.skipped>r.hand.skipFrames||!r.hand.landmarks||!r.videoOptimized)&&(_=await 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u=this.transformRawCoords(v,d,o,w),y=this.getBoxForHandLandmarks(u);this.storedBoxes[n]=y;let p={landmarks:u,confidence:T,box:{topLeft:y.startPoint,bottomRight:y.endPoint}};c.push(p)}else this.storedBoxes[n]=null;f.dispose()}else{let o=Ke(De(h),X0),i={confidence:h.confidence,box:{topLeft:o.startPoint,bottomRight:o.endPoint}};c.push(i)}}return this.storedBoxes=this.storedBoxes.filter(n=>n!==null),this.detectedHands=c.length,c}calculateLandmarksBoundingBox(e){let r=e.map(n=>n[0]),A=e.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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B0=["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"],U0=["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 q;async function C1(t){return q?t.debug&&m("cached model:",q.modelUrl):(q=await he.loadGraphModel(k(t.modelBasePath,t.body.modelPath)),q.width=parseInt(q.signature.inputs["input_1:0"].tensorShape.dim[2].size),q.height=parseInt(q.signature.inputs["input_1:0"].tensorShape.dim[1].size),!q||!q.modelUrl?m("load model failed:",t.body.modelPath):t.debug&&m("load model:",q.modelUrl)),q}async function K1(t,e){if(!q||!e.body.enabled)return null;let r={width:t.shape[2],height:t.shape[1]},A=he.image.resizeBilinear(t,[q.width,q.height],!1),_=he.div(A,[255]);A.dispose();let c;if(e.profile){let x=await he.profile(()=>q.predict(_));c=x.result.find(s=>s.size===195||s.size===155).dataSync(),x.result.forEach(s=>s.dispose()),Ae("blazepose",x)}else{let x=await q.predict(_);c=x.find(s=>s.size===195||s.size===155).dataSync(),x.forEach(s=>s.dispose())}_.dispose();let n=[],h=c.length===195?B0:U0,o=5;for(let 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ye={color:"rgba(173, 216, 230, 0.3)",labelColor:"rgba(173, 216, 230, 1)",shadowColor:"black",font:'small-caps 16px "Segoe UI"',lineHeight:24,lineWidth:6,pointSize:2,roundRect:28,drawPoints:!1,drawLabels:!0,drawBoxes:!1,drawPolygons:!0,fillPolygons:!1,useDepth:!0,useCurves:!1,bufferedOutput:!1,useRawBoxes:!1,calculateHandBox:!0};function n1(t,e,r,A=0,_){t.fillStyle=_.useDepth&&A?`rgba(${127.5+2*A}, ${127.5-2*A}, 255, 0.3)`:_.color,t.beginPath(),t.arc(e,r,_.pointSize,0,2*Math.PI),t.fill()}function we(t,e,r,A,_,c){if(t.beginPath(),c.useCurves){let n=(e+e+A)/2,h=(r+r+_)/2;t.ellipse(n,h,A/2,_/2,0,0,2*Math.PI)}else t.lineWidth=c.lineWidth,t.moveTo(e+c.roundRect,r),t.lineTo(e+A-c.roundRect,r),t.quadraticCurveTo(e+A,r,e+A,r+c.roundRect),t.lineTo(e+A,r+_-c.roundRect),t.quadraticCurveTo(e+A,r+_,e+A-c.roundRect,r+_),t.lineTo(e+c.roundRect,r+_),t.quadraticCurveTo(e,r+_,e,r+_-c.roundRect),t.lineTo(e,r+c.roundRect),t.quadraticCurveTo(e,r,e+c.roundRect,r),t.closePath();t.stroke()}function 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A=S();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&&m("setting backend:",this.config.backend),this.config.backend==="wasm"){if(this.config.debug&&m("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&&m(`wasm execution: ${_?"SIMD":"no SIMD"} ${c?"multithreaded":"singlethreaded"}`),this.config.debug&&!_&&m("warning: wasm simd support is not enabled")}this.config.backend==="humangl"&&a0();try{await this.tf.setBackend(this.config.backend)}catch(_){m("error: cannot set backend:",this.config.backend,_)}}if(this.tf.enableProdMode(),this.tf.getBackend()==="webgl"||this.tf.getBackend()==="humangl"){this.tf.ENV.set("CHECK_COMPUTATION_FOR_ERRORS",!1),this.tf.ENV.set("WEBGL_PACK_DEPTHWISECONV",!0),this.config.deallocate&&(m("changing webgl: WEBGL_DELETE_TEXTURE_THRESHOLD:",this.config.deallocate),this.tf.ENV.set("WEBGL_DELETE_TEXTURE_THRESHOLD",this.config.deallocate?0:-1));let _=await this.tf.backend().getGPGPUContext().gl;this.config.debug&&m(`gl version:${_.getParameter(_.VERSION)} renderer:${_.getParameter(_.RENDERER)}`)}await this.tf.ready(),this.perf.backend=Math.trunc(S()-A)}});_1.set(this,async()=>{let e=(_,c="application/octet-stream")=>fetch(`data:${c};base64,${_}`).then(n=>n.blob()),r,A;switch(this.config.warmup){case"face":r=await e(r1);break;case"full":r=await e(A1);break;default:r=null}if(r){let _=await createImageBitmap(r);A=await this.detect(_,this.config),_.close()}return A});h1.set(this,async()=>new Promise(e=>{let r,A=0;switch(this.config.warmup){case"face":A=256,r="data:image/jpeg;base64,"+r1;break;case"full":case"body":A=1200,r="data:image/jpeg;base64,"+A1;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 h=await this.detect(c,this.config);e(h)},r?_.src=r:e(null)}));o1.set(this,async()=>{let e=_=>Buffer.from(_,"base64"),r;if(this.config.warmup==="face"&&(r=e(r1)),(this.config.warmup==="body"||this.config.warmup==="full")&&(r=e(A1)),!r)return null;let A;if(typeof Ee.node!="undefined"){let _=Ee.node.decodeJpeg(r),c=_.expandDims(0);this.tf.dispose(_),A=await this.detect(c,this.config),this.tf.dispose(c)}else this.config.debug&&m("Warmup tfjs-node not loaded");return A});this.tf=Ee,this.draw=n0,this.version=nt,this.config=C(j,e),this.state="idle",ae(this,pe,0),ae(this,Re,!1),ae(this,ve,!1),ae(this,le,!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=>t0(r,this.config),this.classes={facemesh:z1,emotion:x1,faceres:d1,body:this.config.body.modelPath.includes("posenet")?O1:J1,hand:F1,nanodet:D1},this.faceTriangulation=T0,this.faceUVMap=P0,this.sysinfo=o0()}profileData(){return this.config.profile?Ie:{}}similarity(e,r){return m1(e,r)}enhance(e){return u1(e)}match(e,r,A=0){return x0(e,r,A)}async load(e={}){this.state="load";let r=S();e&&(this.config=C(this.config,e)),D(this,le)&&(this.config.debug&&m(`version: ${this.version}`),this.config.debug&&m(`tfjs version: ${this.tf.version_core}`),this.config.debug&&m("platform:",this.sysinfo.platform),this.config.debug&&m("agent:",this.sysinfo.agent),await D(this,Se).call(this,!0),this.tf.ENV.flags.IS_BROWSER&&(this.config.debug&&m("configuration:",this.config),this.config.debug&&m("tf flags:",this.tf.ENV.flags))),this.config.async?[this.models.face,this.models.emotion,this.models.handpose,this.models.posenet,this.models.blazepose,this.models.nanodet,this.models.faceres]=await Promise.all([this.models.face||(this.config.face.enabled?v1(this.config):null),this.models.emotion||(this.config.face.enabled&&this.config.face.emotion.enabled?l1(this.config):null),this.models.handpose||(this.config.hand.enabled?Y1(this.config):null),this.models.posenet||(this.config.body.enabled&&this.config.body.modelPath.includes("posenet")?L1(this.config):null),this.models.blazepose||(this.config.body.enabled&&this.config.body.modelPath.includes("blazepose")?C1(this.config):null),this.models.nanodet||(this.config.object.enabled?Q1(this.config):null),this.models.faceres||(this.config.face.enabled&&this.config.face.description.enabled?f1(this.config):null)]):(this.config.face.enabled&&!this.models.face&&(this.models.face=await v1(this.config)),this.config.face.enabled&&this.config.face.emotion.enabled&&!this.models.emotion&&(this.models.emotion=await l1(this.config)),this.config.hand.enabled&&!this.models.handpose&&(this.models.handpose=await Y1(this.config)),this.config.body.enabled&&!this.models.posenet&&this.config.body.modelPath.includes("posenet")&&(this.models.posenet=await L1(this.config)),this.config.body.enabled&&!this.models.blazepose&&this.config.body.modelPath.includes("blazepose")&&(this.models.blazepose=await C1(this.config)),this.config.object.enabled&&!this.models.nanodet&&(this.models.nanodet=await Q1(this.config)),this.config.face.enabled&&this.config.face.description.enabled&&!this.models.faceres&&(this.models.faceres=await f1(this.config))),D(this,le)&&(this.config.debug&&m("tf engine state:",this.tf.engine().state.numBytes,"bytes",this.tf.engine().state.numTensors,"tensors"),ae(this,le,!1));let A=Math.trunc(S()-r);A>(this.perf.load||0)&&(this.perf.load=A)}async detect(e,r={}){return new Promise(async A=>{var l,f;this.state="config";let _;this.config=C(this.config,r),this.state="check";let c=D(this,c1).call(this,e);c&&(m(c,e),A({error:c}));let n=S();await D(this,Se).call(this),await this.load(),this.config.scoped&&this.tf.engine().startScope(),this.analyze("Start Scope:");let h;e&&this.config.videoOptimized&&(typeof HTMLImageElement!="undefined"&&e instanceof HTMLImageElement||typeof Image!="undefined"&&e instanceof Image||typeof ImageData!="undefined"&&e instanceof ImageData||typeof ImageBitmap!="undefined"&&e0 instanceof ImageBitmap)&&(m("disabling video optimization"),h=this.config.videoOptimized,this.config.videoOptimized=!1),_=S();let o=t0(e,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,d;this.config.async?(s=this.config.face.enabled?p1(this,o.tensor):[],this.perf.face&&delete this.perf.face):(this.state="run:face",_=S(),s=this.config.face.enabled?await p1(this,o.tensor):[],d=Math.trunc(S()-_),d>0&&(this.perf.face=d)),this.analyze("Start Body:"),this.config.async?(this.config.body.modelPath.includes("posenet")?i=this.config.body.enabled?k1(o.tensor,this.config):[]:this.config.body.modelPath.includes("blazepose")&&(i=this.config.body.enabled?K1(o.tensor,this.config):[]),this.perf.body&&delete this.perf.body):(this.state="run:body",_=S(),this.config.body.modelPath.includes("posenet")?i=this.config.body.enabled?await k1(o.tensor,this.config):[]:this.config.body.modelPath.includes("blazepose")&&(i=this.config.body.enabled?await K1(o.tensor,this.config):[]),d=Math.trunc(S()-_),d>0&&(this.perf.body=d)),this.analyze("End Body:"),this.analyze("Start Hand:"),this.config.async?(x=this.config.hand.enabled?(l=this.models.handpose)==null?void 0:l.estimateHands(o.tensor,this.config):[],this.perf.hand&&delete this.perf.hand):(this.state="run:hand",_=S(),x=this.config.hand.enabled?await((f=this.models.handpose)==null?void 0:f.estimateHands(o.tensor,this.config)):[],d=Math.trunc(S()-_),d>0&&(this.perf.hand=d)),this.analyze("End Hand:"),this.analyze("Start Object:"),this.config.async?(w=this.config.object.enabled?$1(o.tensor,this.config):[],this.perf.object&&delete this.perf.object):(this.state="run:object",_=S(),w=this.config.object.enabled?await $1(o.tensor,this.config):[],d=Math.trunc(S()-_),d>0&&(this.perf.object=d)),this.analyze("End Object:"),this.config.async&&([s,i,x,w]=await Promise.all([s,i,x,w])),Ee.dispose(o.tensor),this.config.scoped&&this.tf.engine().endScope(),this.analyze("End Scope:");let b=[];this.config.gesture.enabled&&(_=S(),b=[...J0(s),...Y0(i),...K0(x),...C0(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()-n),this.state="idle";let a={face:s,body:i,hand:x,gesture:b,object:w,performance:this.perf,canvas:o.canvas};A(a)})}async warmup(e={}){let r=S();if(e&&(this.config=C(this.config,e)),!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,_1).call(this):typeof Image!="undefined"?_=await D(this,h1).call(this):_=await D(this,o1).call(this),this.config.videoOptimized=A;let c=S();return this.config.debug&&m("Warmup",this.config.warmup,Math.round(c-r),"ms",_),_}};pe=new WeakMap,Re=new WeakMap,ve=new WeakMap,le=new WeakMap,c1=new WeakMap,Se=new WeakMap,_1=new WeakMap,h1=new WeakMap,o1=new WeakMap;0&&(module.exports={Human});
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