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

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rt=[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],At=[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],ct=[33,133,362,263,1,78,308],tn=rt.map(t=>xe[t]),nn=At.map(t=>xe[t]),rn=ct.map(t=>xe[t]);var c1=Y.leftEyeLower0,_1=Y.rightEyeLower0,oe={leftBounds:[c1[0],c1[c1.length-1]],rightBounds:[_1[0],_1[_1.length-1]]},je={count:468,mouth:13,symmetryLine:[13,Y.midwayBetweenEyes[0]]},A0={leftEye:0,rightEye:1,nose:2,mouth:3,leftEar:4,rightEar:5,symmetryLine:[3,2]},se={upperCenter:3,lowerCenter:4,index:71,numCoordinates:76};function Se(t,e,r,A){for(let _=0;_<A1.length;_++){let{key:c,indices:n}=A1[_],o=Y[`${r}${c}`];if(!A||A.includes(c))for(let s=0;s<n.length;s++){let a=n[s];t[o[s]]=[e[a][0],e[a][1],(e[a][2]+t[o[s]][2])/2]}}}var h1=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=ae({startPoint:r.startPoint,endPoint:r.endPoint}),n=e.map(i=>[c[0]/this.meshSize*(i[0]-this.meshSize/2),c[1]/this.meshSize*(i[1]-this.meshSize/2),i[2]]),o=A!==0?Re(A,[0,0]):Ee,s=A!==0?n.map(i=>[...r0(i,o),i[2]]):n,a=A!==0?n0(_):Ee,y=[..._e({startPoint:r.startPoint,endPoint:r.endPoint}),1];return s.map(i=>[i[0]+D(y,a[0]),i[1]+D(y,a[1]),i[2]])}getLeftToRightEyeDepthDifference(e){let r=e[oe.leftBounds[0]][2],A=e[oe.rightBounds[0]][2];return r-A}getEyeBox(e,r,A,_,c=!1){let n=ze(ve(this.calculateLandmarksBoundingBox([e[A],e[_]]),this.irisEnlarge)),o=ae(n),s=h.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&&h.ENV.flags.IS_BROWSER&&(s=h.image.flipLeftRight(s)),{box:n,boxSize:o,crop:s}}getEyeCoords(e,r,A,_=!1){let c=[];for(let n=0;n<se.numCoordinates;n++){let o=e[n*3],s=e[n*3+1],a=e[n*3+2];c.push([(_?1-o/this.irisSize:o/this.irisSize)*A[0]+r.startPoint[0],s/this.irisSize*A[1]+r.startPoint[1],a])}return{rawCoords:c,iris:c.slice(se.index)}}getAdjustedIrisCoords(e,r,A){let _=e[Y[`${A}EyeUpper0`][se.upperCenter]][2],c=e[Y[`${A}EyeLower0`][se.lowerCenter]][2],n=(_+c)/2;return r.map((o,s)=>{let a=n;return s===2?a=_:s===4&&(a=c),[o[0],o[1],a]})}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.maxDetected)){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 o=$1({startPoint:this.storedBoxes[n].startPoint,endPoint:this.storedBoxes[n].endPoint},_.scaleFactor),s=ve(o),a=ze(s),y=this.storedBoxes[n].landmarks.arraySync(),i=this.storedBoxes[n].confidence;this.storedBoxes[n]={...a,confidence:i,landmarks:y}}}_&&_.boxes&&_.boxes.forEach(n=>{n.box.startPoint.dispose(),n.box.endPoint.dispose(),n.landmarks.dispose()});let c=h.tidy(()=>this.storedBoxes.map((n,o)=>{let s=n.confidence,a,y=0,i;if(r.face.detector.rotation&&r.face.mesh.enabled&&h.ENV.flags.IS_BROWSER){let[b,l]=n.landmarks.length>=je.count?je.symmetryLine:A0.symmetryLine;y=r1(n.landmarks[b],n.landmarks[l]);let g=_e({startPoint:n.startPoint,endPoint:n.endPoint}),z=[g[0]/e.shape[2],g[1]/e.shape[1]],E=h.image.rotateWithOffset(e,y,0,z);i=Re(-y,g),r.face.mesh.enabled?a=he({startPoint:n.startPoint,endPoint:n.endPoint},E,[this.meshSize,this.meshSize]).div(255):a=he({startPoint:n.startPoint,endPoint:n.endPoint},E,[this.boxSize,this.boxSize]).div(255)}else{i=Ee;let b=e.clone();r.face.mesh.enabled?a=he({startPoint:n.startPoint,endPoint:n.endPoint},b,[this.meshSize,this.meshSize]).div(255):a=he({startPoint:n.startPoint,endPoint:n.endPoint},b,[this.boxSize,this.boxSize]).div(255)}if(!r.face.mesh.enabled)return{coords:null,box:n,faceConfidence:null,boxConfidence:s,confidence:n.confidence,image:a};let[,d,u]=this.meshDetector.predict(a),P=d.dataSync()[0];if(P<r.face.detector.minConfidence)return null;let f=h.reshape(u,[-1,3]).arraySync();if(r.face.iris.enabled){let{box:b,boxSize:l,crop:g}=this.getEyeBox(f,a,oe.leftBounds[0],oe.leftBounds[1],!0),{box:z,boxSize:E,crop:I}=this.getEyeBox(f,a,oe.rightBounds[0],oe.rightBounds[1]),L=this.irisModel.predict(h.concat([g,I])).dataSync(),Ye=L.slice(0,se.numCoordinates*3),{rawCoords:pe,iris:ee}=this.getEyeCoords(Ye,b,l,!0),Z0=L.slice(se.numCoordinates*3),{rawCoords:Z1,iris:V0}=this.getEyeCoords(Z0,z,E),V1=this.getLeftToRightEyeDepthDifference(f);Math.abs(V1)<30?(Se(f,pe,"left",null),Se(f,Z1,"right",null)):V1<1?Se(f,pe,"left",["EyeUpper0","EyeLower0"]):Se(f,Z1,"right",["EyeUpper0","EyeLower0"]);let H0=this.getAdjustedIrisCoords(f,ee,"left"),X0=this.getAdjustedIrisCoords(f,V0,"right");f=f.concat(H0).concat(X0)}let m=this.transformRawCoords(f,n,y,i);n=ve(this.calculateLandmarksBoundingBox(m),1.5);let M=h.tensor2d(m);if(r.face.detector.rotation&&r.face.mesh.enabled&&r.face.description.enabled&&h.ENV.flags.IS_BROWSER){let[b,l]=n.landmarks.length>=je.count?je.symmetryLine:A0.symmetryLine;y=r1(n.landmarks[b],n.landmarks[l]);let g=_e({startPoint:n.startPoint,endPoint:n.endPoint}),z=[g[0]/e.shape[2],g[1]/e.shape[1]],E=h.image.rotateWithOffset(e.toFloat(),y,0,z);i=Re(-y,g),a=he({startPoint:n.startPoint,endPoint:n.endPoint},E,[this.meshSize,this.meshSize]).div(255)}let v={coords:M,box:n,faceConfidence:P,boxConfidence:s,image:a,rawCoords:f},R=ze(n);return this.storedBoxes[o]={...R,landmarks:m,confidence:n.confidence,faceConfidence:P},v}));return c=c.filter(n=>n!==null),r.face.mesh.enabled&&(this.storedBoxes=this.storedBoxes.filter(n=>n.faceConfidence>r.face.detector.minConfidence)),this.detectedFaces=c.length,c}calculateLandmarksBoundingBox(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 s1=class{constructor(e,r,A,_){this.facePipeline=new h1(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():[],o=n.map(i=>[i[0]/e.shape[2],i[1]/e.shape[1],i[2]/this.facePipeline.meshSize]),s={};if(n&&n.length>0)for(let i of Object.keys(Y))s[i]=Y[i].map(d=>n[d]);let a=c.box?[Math.max(0,c.box.startPoint[0]),Math.max(0,c.box.startPoint[1]),Math.min(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,y=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:a,boxRaw:y,mesh:n,meshRaw:o,annotations:s,image:c.image?c.image.clone():null}),c.coords&&c.coords.dispose(),c.image&&c.image.dispose()}return _}},k=[null,null,null];async function i1(t){return!k[0]&&t.face.enabled||!k[1]&&t.face.mesh.enabled||!k[2]&&t.face.iris.enabled?(k=await Promise.all([!k[0]&&t.face.enabled?Q1(t):null,!k[1]&&t.face.mesh.enabled?h.loadGraphModel(O(t.modelBasePath,t.face.mesh.modelPath),{fromTFHub:t.face.mesh.modelPath.includes("tfhub.dev")}):null,!k[2]&&t.face.iris.enabled?h.loadGraphModel(O(t.modelBasePath,t.face.iris.modelPath),{fromTFHub:t.face.iris.modelPath.includes("tfhub.dev")}):null]),t.face.mesh.enabled&&(!k[1]||!k[1].modelUrl?p("load model failed:",t.face.mesh.modelPath):t.debug&&p("load model:",k[1].modelUrl)),t.face.iris.enabled&&(!k[2]||!k[1].modelUrl?p("load model failed:",t.face.iris.modelPath):t.debug&&p("load model:",k[2].modelUrl))):t.debug&&(p("cached model:",k[0].model.modelUrl),p("cached model:",k[1].modelUrl),p("cached model:",k[2].modelUrl)),new s1(k[0],k[1],k[2],t)}var c0=ne,_0=xe;var d1={};U(d1,{load:()=>m1,predict:()=>f1});var ye=["nose","leftEye","rightEye","leftEar","rightEar","leftShoulder","rightShoulder","leftElbow","rightElbow","leftWrist","rightWrist","leftHip","rightHip","leftKnee","rightKnee","leftAnkle","rightAnkle"],h0=ye.length,we=ye.reduce((t,e,r)=>(t[e]=r,t),{}),_t=[["leftHip","leftShoulder"],["leftElbow","leftShoulder"],["leftElbow","leftWrist"],["leftHip","leftKnee"],["leftKnee","leftAnkle"],["rightHip","rightShoulder"],["rightElbow","rightShoulder"],["rightElbow","rightWrist"],["rightHip","rightKnee"],["rightKnee","rightAnkle"],["leftShoulder","rightShoulder"],["leftHip","rightHip"]],ht=_t.map(([t,e])=>[we[t],we[e]]),o0=[["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 s0(t){let e=t.reduce(({maxX:r,maxY:A,minX:_,minY:c},{position:{x:n,y:o}})=>({maxX:Math.max(r,n),maxY:Math.max(A,o),minX:Math.min(_,n),minY:Math.min(c,o)}),{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 i0(t,[e,r],[A,_]){let c=(o,s,a)=>({score:o.score,box:[Math.trunc(o.box[0]*a),Math.trunc(o.box[1]*s),Math.trunc(o.box[2]*a),Math.trunc(o.box[3]*s)],keypoints:o.keypoints.map(({score:y,part:i,position:d})=>({score:y,part:i,position:{x:Math.trunc(d.x*a),y:Math.trunc(d.y*s)}}))});return t.map(o=>c(o,e/A,r/_))}var a1=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 x1(t,e,r,A){return{y:A.get(t,e,r),x:A.get(t,e,r+h0)}}function y1(t,e,r){let{heatmapY:A,heatmapX:_,id:c}=t,{y:n,x:o}=x1(A,_,c,r);return{x:t.heatmapX*e+o,y:t.heatmapY*e+n}}function w1(t,e,r){return t<e?e:t>r?r:t}function a0(t,e,r,A){let _=r-t,c=A-e;return _*_+c*c}function l1(t,e){return{x:t.x+e.x,y:t.y+e.y}}var We=1,x0=16,ot=20**2;function y0(t,e,r,A,_,c,n,o=2){let s=M=>({y:n.get(M.y,M.x,t),x:n.get(M.y,M.x,n.shape[2]/2+t)}),a=(M,v,R)=>({y:w1(Math.round(M.y/c),0,v-1),x:w1(Math.round(M.x/c),0,R-1)}),[y,i]=A.shape,d=a(e.position,y,i),u=s(d),x=l1(e.position,u);for(let M=0;M<o;M++){let v=a(x,y,i),R=x1(v.y,v.x,r,_);x=l1({x:v.x*c,y:v.y*c},{x:R.x,y:R.y})}let f=a(x,y,i),m=A.get(f.y,f.x,r);return{position:x,part:ye[r],score:m}}function st(t,e,r,A,_,c){let n=o0.map(([x,f])=>[we[x],we[f]]),o=n.map(([,x])=>x),s=n.map(([x])=>x),a=e.shape[2],y=o.length,i=new Array(a),{part:d,score:u}=t,P=y1(d,A,r);i[d.id]={score:u,part:ye[d.id],position:P};for(let x=y-1;x>=0;--x){let f=o[x],m=s[x];i[f]&&!i[m]&&(i[m]=y0(x,i[f],m,e,r,A,c))}for(let x=0;x<y;++x){let f=s[x],m=o[x];i[f]&&!i[m]&&(i[m]=y0(x,i[f],m,e,r,A,_))}return i}function it(t,e,r,A,_){let[c,n]=_.shape,o=!0,s=Math.max(r-We,0),a=Math.min(r+We+1,c);for(let y=s;y<a;++y){let i=Math.max(A-We,0),d=Math.min(A+We+1,n);for(let u=i;u<d;++u)if(_.get(y,u,t)>e){o=!1;break}if(!o)break}return o}function at(t,e){let[r,A,_]=e.shape,c=new a1(r*A*_,({score:n})=>n);for(let n=0;n<r;++n)for(let o=0;o<A;++o)for(let s=0;s<_;++s){let a=e.get(n,o,s);a<t||it(s,a,n,o,e)&&c.enqueue({score:a,part:{heatmapY:n,heatmapX:o,id:s}})}return c}function w0(t,{x:e,y:r},A){return t.some(({keypoints:_})=>{let c=_[A].position;return a0(r,e,c.y,c.x)<=ot})}function xt(t,e){return e.reduce((A,{position:_,score:c},n)=>(w0(t,_,n)||(A+=c),A),0)/e.length}function l0(t,e,r,A,_,c){let n=[],o=at(c,e);for(;n.length<_&&!o.empty();){let s=o.dequeue(),a=y1(s.part,x0,t);if(w0(n,a,s.part.id))continue;let i=st(s,e,t,x0,r,A).filter(P=>P.score>c),d=xt(n,i),u=s0(i);d>c&&n.push({keypoints:i,box:u,score:Math.round(100*d)/100})}return n}var C,yt=["MobilenetV1/offset_2/BiasAdd","MobilenetV1/heatmap_2/BiasAdd","MobilenetV1/displacement_fwd_2/BiasAdd","MobilenetV1/displacement_bwd_2/BiasAdd"];async function f1(t,e){let r=h.tidy(()=>{let o=t.resizeBilinear([C.inputs[0].shape[2],C.inputs[0].shape[1]]).toFloat().div(127.5).sub(1),a=C.execute(o,yt).map(y=>y.squeeze([0]));return a[1]=a[1].sigmoid(),a}),A=await Promise.all(r.map(n=>n.buffer()));for(let n of r)n.dispose();let _=await l0(A[0],A[1],A[2],A[3],e.body.maxDetected,e.body.minConfidence);return i0(_,[t.shape[1],t.shape[2]],[C.inputs[0].shape[2],C.inputs[0].shape[1]])}async function m1(t){return C?t.debug&&p("cached model:",C.modelUrl):(C=await h.loadGraphModel(O(t.modelBasePath,t.body.modelPath)),!C||!C.modelUrl?p("load model failed:",t.body.modelPath):t.debug&&p("load model:",C.modelUrl)),C}var T1={};U(T1,{HandPose:()=>M1,load:()=>v1});function Ne(t){return[Math.abs(t.endPoint[0]-t.startPoint[0]),Math.abs(t.endPoint[1]-t.startPoint[1])]}function le(t){return[t.startPoint[0]+(t.endPoint[0]-t.startPoint[0])/2,t.startPoint[1]+(t.endPoint[1]-t.startPoint[1])/2]}function d0(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 h.image.cropAndResize(e,c,[0],r)}function f0(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 Ie(t,e=1.5){let r=le(t),A=Ne(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 ke(t){let e=le(t),r=Ne(t),_=Math.max(...r)/2,c=[e[0]-_,e[1]-_],n=[e[0]+_,e[1]+_];return{startPoint:c,endPoint:n,palmLandmarks:t.palmLandmarks}}var u1=class{constructor(e,r,A){this.model=e,this.anchors=A.map(_=>[_.x_center,_.y_center]),this.anchorsTensor=h.tensor2d(this.anchors),this.inputSize=r,this.inputSizeTensor=h.tensor1d([r,r]),this.doubleInputSizeTensor=h.tensor1d([r*2,r*2])}normalizeBoxes(e){return h.tidy(()=>{let r=h.slice(e,[0,0],[-1,2]),A=h.slice(e,[0,2],[-1,2]),_=h.add(h.div(r,this.inputSizeTensor),this.anchorsTensor),c=h.div(A,this.doubleInputSizeTensor),n=h.mul(h.sub(_,c),this.inputSizeTensor),o=h.mul(h.add(_,c),this.inputSizeTensor);return h.concat2d([n,o],1)})}normalizeLandmarks(e,r){return h.tidy(()=>{let A=h.add(h.div(e.reshape([-1,7,2]),this.inputSizeTensor),this.anchors[r]);return h.mul(A,this.inputSizeTensor)})}async getBoxes(e,r){let A=this.model.predict(e),_=A.squeeze();A.dispose();let c=h.tidy(()=>h.sigmoid(h.slice(_,[0,0],[-1,1])).squeeze()),n=c.dataSync(),o=h.slice(_,[0,1],[-1,4]),s=this.normalizeBoxes(o);o.dispose();let a=await h.image.nonMaxSuppressionAsync(s,n,r.hand.maxDetected,r.hand.iouThreshold,r.hand.minConfidence),y=a.arraySync();c.dispose(),a.dispose();let i=[];for(let d of y)if(n[d]>=r.hand.minConfidence){let u=h.slice(s,[d,0],[1,-1]),P=h.slice(_,[d,5],[1,14]),x=h.tidy(()=>this.normalizeLandmarks(P,d).reshape([-1,2]));P.dispose(),i.push({box:u,palmLandmarks:x,confidence:n[d]})}return _.dispose(),s.dispose(),i}async estimateHandBounds(e,r){let A=e.shape[1],_=e.shape[2],c=h.tidy(()=>e.resizeBilinear([this.inputSize,this.inputSize]).div(127.5).sub(1)),n=await this.getBoxes(c,r);c.dispose();let o=[];if(!n||n.length===0)return o;for(let s of n){let a=s.box.dataSync(),y=a.slice(0,2),i=a.slice(2,4),d=s.palmLandmarks.arraySync();s.box.dispose(),s.palmLandmarks.dispose(),o.push(f0({startPoint:y,endPoint:i,palmLandmarks:d,confidence:s.confidence},[_/this.inputSize,A/this.inputSize]))}return o}};function wt(t){return t-2*Math.PI*Math.floor((t+Math.PI)/(2*Math.PI))}function m0(t,e){let r=Math.PI/2-Math.atan2(-(e[1]-t[1]),e[0]-t[0]);return wt(r)}var u0=(t,e)=>[[1,0,t],[0,1,e],[0,0,1]];function G(t,e){let r=0;for(let A=0;A<t.length;A++)r+=t[A]*e[A];return r}function lt(t,e){let r=[];for(let A=0;A<t.length;A++)r.push(t[A][e]);return r}function p0(t,e){let r=[],A=t.length;for(let _=0;_<A;_++){r.push([]);for(let c=0;c<A;c++)r[_].push(G(t[_],lt(e,c)))}return r}function p1(t,e){let r=Math.cos(t),A=Math.sin(t),_=[[r,-A,0],[A,r,0],[0,0,1]],c=u0(e[0],e[1]),n=p0(c,_),o=u0(-e[0],-e[1]);return p0(n,o)}function b0(t){let e=[[t[0][0],t[1][0]],[t[0][1],t[1][1]]],r=[t[0][2],t[1][2]],A=[-G(e[0],r),-G(e[1],r)];return[e[0].concat(A[0]),e[1].concat(A[1]),[0,0,1]]}function b1(t,e){return[G(t,e[0]),G(t,e[1])]}var dt=5,g0=1.65,T0=[0,5,9,13,17,1,2],ft=0,mt=2,g1=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=>b1([...c,1],r)),_=this.calculateLandmarksBoundingBox(A);return Ie(ke(_),dt)}getBoxForHandLandmarks(e){let r=this.calculateLandmarksBoundingBox(e),A=Ie(ke(r),g0);A.palmLandmarks=[];for(let _=0;_<T0.length;_++)A.palmLandmarks.push(e[T0[_]].slice(0,2));return A}transformRawCoords(e,r,A,_){let c=Ne(r),n=[c[0]/this.inputSize,c[1]/this.inputSize,(c[0]+c[1])/this.inputSize/2],o=e.map(u=>[n[0]*(u[0]-this.inputSize/2),n[1]*(u[1]-this.inputSize/2),n[2]*u[2]]),s=p1(A,[0,0]),a=o.map(u=>[...b1(u,s),u[2]]),y=b0(_),i=[...le(r),1],d=[G(i,y[0]),G(i,y[1])];return a.map(u=>[u[0]+d[0],u[1]+d[1],u[2]])}async estimateHands(e,r){let A=!1,_;(this.skipped===0||this.skipped>r.hand.skipFrames||!r.hand.landmarks||!r.videoOptimized)&&(_=await this.handDetector.estimateHandBounds(e,r),this.skipped=0),r.videoOptimized&&this.skipped++,_&&_.length>0&&(_.length!==this.detectedHands&&this.detectedHands!==r.hand.maxDetected||!r.hand.landmarks)&&(this.detectedHands=0,this.storedBoxes=[..._],this.storedBoxes.length>0&&(A=!0));let c=[];r.hand.skipInitial&&this.detectedHands===0&&(this.skipped=0);for(let n=0;n<this.storedBoxes.length;n++){let o=this.storedBoxes[n];if(!!o)if(r.hand.landmarks){let s=r.hand.rotation?m0(o.palmLandmarks[ft],o.palmLandmarks[mt]):0,a=le(o),y=[a[0]/e.shape[2],a[1]/e.shape[1]],i=r.hand.rotation?h.image.rotateWithOffset(e,s,0,y):e.clone(),d=p1(-s,a),u=A?this.getBoxForPalmLandmarks(o.palmLandmarks,d):o,P=d0(u,i,[this.inputSize,this.inputSize]),x=P.div(255);P.dispose(),i.dispose();let[f,m]=await this.landmarkDetector.predict(x);x.dispose();let M=f.dataSync()[0];if(f.dispose(),M>=r.hand.minConfidence){let v=h.reshape(m,[-1,3]),R=v.arraySync();m.dispose(),v.dispose();let b=this.transformRawCoords(R,u,s,d),l=this.getBoxForHandLandmarks(b);this.storedBoxes[n]=l;let g={landmarks:b,confidence:M,box:{topLeft:l.startPoint,bottomRight:l.endPoint}};c.push(g)}else this.storedBoxes[n]=null;m.dispose()}else{let s=Ie(ke(o),g0),a={confidence:o.confidence,box:{topLeft:s.startPoint,bottomRight:s.endPoint}};c.push(a)}}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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M0=["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"],v0=["nose","leftEyeInside","leftEye","leftEyeOutside","rightEyeInside","rightEye","rightEyeOutside","leftEar","rightEar","leftMouth","rightMouth","leftShoulder","rightShoulder","leftElbow","rightElbow","left:15","right:16","left:17","right:18","left:19","right:20","left:21","right:22","leftChest","rightChest","neck","forehead","left:27","right:28","left:29","right:30"];var Z;async function E1(t){return Z?t.debug&&p("cached model:",Z.modelUrl):(Z=await h.loadGraphModel(O(t.modelBasePath,t.body.modelPath)),Z.width=parseInt(Z.signature.inputs["input_1:0"].tensorShape.dim[2].size),Z.height=parseInt(Z.signature.inputs["input_1:0"].tensorShape.dim[1].size),!Z||!Z.modelUrl?p("load model failed:",t.body.modelPath):t.debug&&p("load model:",Z.modelUrl)),Z}async function R1(t,e){if(!Z||!e.body.enabled)return null;let r={width:t.shape[2],height:t.shape[1]},A=h.image.resizeBilinear(t,[Z.width,Z.height],!1),_=h.div(A,[255]);A.dispose();let c=await Z.predict(_),n=c.find(i=>i.size===195||i.size===155).dataSync();c.forEach(i=>i.dispose()),_.dispose();let o=[],s=n.length===195?M0:v0,a=5;for(let i=0;i<n.length/a;i++)o.push({id:i,part:s[i],position:{x:Math.trunc(r.width*n[a*i+0]/255),y:Math.trunc(r.height*n[a*i+1]/255),z:Math.trunc(n[a*i+2])+0},score:(100-Math.trunc(100/(1+Math.exp(n[a*i+3]))))/100,presence:(100-Math.trunc(100/(1+Math.exp(n[a*i+4]))))/100});return[{score:o.reduce((i,d)=>d.score>i?d.score:i,0),keypoints:o}]}var 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2Q==`;var L0="1.8.0";var ie,fe,me,ce,qe,ue,Ce,Be,Ue,Pt=class{constructor(e={}){ie.set(this,void 0);fe.set(this,void 0);me.set(this,void 0);ce.set(this,void 0);this.analyze=(...e)=>{if(!q(this,fe))return;let r=this.tf.engine().state.numTensors,A=q(this,ie);te(this,ie,r);let _=r-A;_!==0&&p(...e,_)};qe.set(this,e=>{if(!q(this,me))return null;if(!e)return"input is not defined";if(this.tf.ENV.flags.IS_NODE&&!(e instanceof h.Tensor))return"input must be a tensor";try{this.tf.getBackend()}catch(r){return"backend not loaded"}return null});ue.set(this,async(e=!1)=>{var r;if(this.config.backend&&this.config.backend.length>0&&e||this.tf.getBackend()!==this.config.backend){let A=j();if(this.state="backend",this.config.backend&&this.config.backend.length>0){if(typeof window=="undefined"&&typeof WorkerGlobalScope!="undefined"&&this.config.debug&&p("running inside web worker"),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&&p("setting backend:",this.config.backend),this.config.backend==="wasm"){if(this.config.debug&&p("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&&p(`wasm execution: ${_?"SIMD":"no SIMD"} ${c?"multithreaded":"singlethreaded"}`),this.config.debug&&!_&&p("warning: wasm simd support is not enabled")}this.config.backend==="humangl"&&J1();try{await this.tf.setBackend(this.config.backend)}catch(_){p("error: cannot set backend:",this.config.backend,_)}}if(this.tf.enableProdMode(),this.tf.getBackend()==="webgl"||this.tf.getBackend()==="humangl"){this.tf.ENV.set("CHECK_COMPUTATION_FOR_ERRORS",!1),this.tf.ENV.set("WEBGL_PACK_DEPTHWISECONV",!0),typeof this.config.deallocate!="undefined"&&(p("changing webgl: WEBGL_DELETE_TEXTURE_THRESHOLD:",!0),this.tf.ENV.set("WEBGL_DELETE_TEXTURE_THRESHOLD",0));let _=await this.tf.backend().getGPGPUContext().gl;this.config.debug&&p(`gl version:${_.getParameter(_.VERSION)} renderer:${_.getParameter(_.RENDERER)}`)}await this.tf.ready(),this.perf.backend=Math.trunc(j()-A)}});Ce.set(this,async()=>{let e=(_,c="application/octet-stream")=>fetch(`data:${c};base64,${_}`).then(n=>n.blob()),r,A;switch(this.config.warmup){case"face":r=await e(Xe);break;case"full":r=await e(Fe);break;default:r=null}if(r){let _=await createImageBitmap(r);A=await this.detect(_,this.config),_.close()}return A});Be.set(this,async()=>new Promise(e=>{let r,A=0;switch(this.config.warmup){case"face":A=256,r="data:image/jpeg;base64,"+Xe;break;case"full":case"body":A=1200,r="data:image/jpeg;base64,"+Fe;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 o=await this.detect(c,this.config);e(o)},r?_.src=r:e(null)}));Ue.set(this,async()=>{let e=_=>Buffer.from(_,"base64"),r;if(this.config.warmup==="face"&&(r=e(Xe)),(this.config.warmup==="body"||this.config.warmup==="full")&&(r=e(Fe)),!r)return null;let A;if(typeof h.node!="undefined"){let _=h.node.decodeJpeg(r),c=_.expandDims(0);this.tf.dispose(_),A=await this.detect(c,this.config),this.tf.dispose(c)}else this.config.debug&&p("Warmup tfjs-node not loaded");return A});this.tf=h,this.draw=O1,this.version=L0,this.config=X(S,e),this.state="idle",te(this,ie,0),te(this,fe,!1),te(this,me,!1),te(this,ce,!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=>k1(r,this.config),this.classes={facemesh:o1,emotion:Je,faceres:Qe,body:this.config.body.modelPath.includes("posenet")?d1:z1,hand:T1,nanodet:j1},this.faceTriangulation=c0,this.faceUVMap=_0,this.sysinfo=F1()}similarity(e,r){return e1(e,r)}enhance(e){return t1(e)}match(e,r,A=0){return K1(e,r,A)}async load(e={}){this.state="load";let r=j();e&&(this.config=X(this.config,e)),q(this,ce)&&(this.config.debug&&p(`version: ${this.version}`),this.config.debug&&p(`tfjs version: ${this.tf.version_core}`),this.config.debug&&p("platform:",this.sysinfo.platform),this.config.debug&&p("agent:",this.sysinfo.agent),await q(this,ue).call(this,!0),this.tf.ENV.flags.IS_BROWSER&&(this.config.debug&&p("configuration:",this.config),this.config.debug&&p("tf flags:",this.tf.ENV.flags))),this.config.async?[this.models.face,this.models.emotion,this.models.handpose,this.models.posenet,this.models.blazepose,this.models.nanodet,this.models.faceres]=await Promise.all([this.models.face||(this.config.face.enabled?i1(this.config):null),this.models.emotion||(this.config.face.enabled&&this.config.face.emotion.enabled?Ge(this.config):null),this.models.handpose||(this.config.hand.enabled?v1(this.config):null),this.models.posenet||(this.config.body.enabled&&this.config.body.modelPath.includes("posenet")?m1(this.config):null),this.models.blazepose||(this.config.body.enabled&&this.config.body.modelPath.includes("blazepose")?E1(this.config):null),this.models.nanodet||(this.config.object.enabled?W1(this.config):null),this.models.faceres||(this.config.face.enabled&&this.config.face.description.enabled?$e(this.config):null)]):(this.config.face.enabled&&!this.models.face&&(this.models.face=await i1(this.config)),this.config.face.enabled&&this.config.face.emotion.enabled&&!this.models.emotion&&(this.models.emotion=await Ge(this.config)),this.config.hand.enabled&&!this.models.handpose&&(this.models.handpose=await v1(this.config)),this.config.body.enabled&&!this.models.posenet&&this.config.body.modelPath.includes("posenet")&&(this.models.posenet=await m1(this.config)),this.config.body.enabled&&!this.models.blazepose&&this.config.body.modelPath.includes("blazepose")&&(this.models.blazepose=await E1(this.config)),this.config.object.enabled&&!this.models.nanodet&&(this.models.nanodet=await W1(this.config)),this.config.face.enabled&&this.config.face.description.enabled&&!this.models.faceres&&(this.models.faceres=await $e(this.config))),q(this,ce)&&(this.config.debug&&p("tf engine state:",this.tf.engine().state.numBytes,"bytes",this.tf.engine().state.numTensors,"tensors"),te(this,ce,!1));let A=Math.trunc(j()-r);A>(this.perf.load||0)&&(this.perf.load=A)}async detect(e,r={}){return new Promise(async A=>{var f,m;this.state="config";let _;this.config=X(this.config,r),this.state="check";let c=q(this,qe).call(this,e);c&&(p(c,e),A({error:c}));let n=j();await q(this,ue).call(this),await this.load();let o;e&&this.config.videoOptimized&&typeof window!="undefined"&&typeof WorkerGlobalScope!="undefined"&&(typeof HTMLImageElement!="undefined"&&e instanceof HTMLImageElement||typeof Image!="undefined"&&e instanceof Image||typeof ImageData!="undefined"&&e instanceof ImageData||typeof ImageBitmap!="undefined"&&I1 instanceof ImageBitmap)&&(p("disabling video optimization"),o=this.config.videoOptimized,this.config.videoOptimized=!1),_=j();let s=k1(e,this.config);if(!s||!s.tensor){p("could not convert input to tensor"),A({error:"could not convert input to tensor"});return}this.perf.image=Math.trunc(j()-_),this.analyze("Get Image:");let a,y,i,d,u;this.config.async?(i=this.config.face.enabled?n1(this,s.tensor):[],this.perf.face&&delete this.perf.face):(this.state="run:face",_=j(),i=this.config.face.enabled?await n1(this,s.tensor):[],u=Math.trunc(j()-_),u>0&&(this.perf.face=u)),this.analyze("Start Body:"),this.config.async?(this.config.body.modelPath.includes("posenet")?a=this.config.body.enabled?f1(s.tensor,this.config):[]:this.config.body.modelPath.includes("blazepose")&&(a=this.config.body.enabled?R1(s.tensor,this.config):[]),this.perf.body&&delete this.perf.body):(this.state="run:body",_=j(),this.config.body.modelPath.includes("posenet")?a=this.config.body.enabled?await f1(s.tensor,this.config):[]:this.config.body.modelPath.includes("blazepose")&&(a=this.config.body.enabled?await R1(s.tensor,this.config):[]),u=Math.trunc(j()-_),u>0&&(this.perf.body=u)),this.analyze("End Body:"),this.analyze("Start Hand:"),this.config.async?(y=this.config.hand.enabled?(f=this.models.handpose)==null?void 0:f.estimateHands(s.tensor,this.config):[],this.perf.hand&&delete this.perf.hand):(this.state="run:hand",_=j(),y=this.config.hand.enabled?await((m=this.models.handpose)==null?void 0:m.estimateHands(s.tensor,this.config)):[],u=Math.trunc(j()-_),u>0&&(this.perf.hand=u)),this.analyze("End Hand:"),this.analyze("Start Object:"),this.config.async?(d=this.config.object.enabled?N1(s.tensor,this.config):[],this.perf.object&&delete this.perf.object):(this.state="run:object",_=j(),d=this.config.object.enabled?await N1(s.tensor,this.config):[],u=Math.trunc(j()-_),u>0&&(this.perf.object=u)),this.analyze("End Object:"),this.config.async&&([i,a,y,d]=await Promise.all([i,a,y,d])),h.dispose(s.tensor);let P=[];this.config.gesture.enabled&&(_=j(),P=[...E0(i),...z0(a),...j0(y),...R0(i)],this.config.async?this.perf.gesture&&delete this.perf.gesture:this.perf.gesture=Math.trunc(j()-_)),o&&(this.config.videoOptimized=o),this.perf.total=Math.trunc(j()-n),this.state="idle";let x={face:i,body:a,hand:y,gesture:P,object:d,performance:this.perf,canvas:s.canvas};A(x)})}async warmup(e={}){let r=j();if(e&&(this.config=X(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 q(this,Ce).call(this):typeof Image!="undefined"?_=await q(this,Be).call(this):_=await q(this,Ue).call(this),this.config.videoOptimized=A;let c=j();return this.config.debug&&p("Warmup",this.config.warmup,Math.round(c-r),"ms",_),_}};ie=new WeakMap,fe=new WeakMap,me=new WeakMap,ce=new WeakMap,qe=new WeakMap,ue=new WeakMap,Ce=new WeakMap,Be=new WeakMap,Ue=new WeakMap;export{Pt as Human,Pt as default};
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