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

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ln=[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],dn=[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],fn=[33,133,362,263,1,78,308],ur=ln.map(e=>Ne[e]),br=dn.map(e=>Ne[e]),gr=fn.map(e=>Ne[e]);var Jt=ie.leftEyeLower0,Ct=ie.rightEyeLower0,ze={leftBounds:[Jt[0],Jt[Jt.length-1]],rightBounds:[Ct[0],Ct[Ct.length-1]]},At={count:468,mouth:13,symmetryLine:[13,ie.midwayBetweenEyes[0]]},Q1={leftEye:0,rightEye:1,nose:2,mouth:3,leftEar:4,rightEar:5,symmetryLine:[3,2]},Ee={upperCenter:3,lowerCenter:4,index:71,numCoordinates:76};function _t(e,t,n,c){for(let r=0;r<Yt.length;r++){let{key:_,indices:A}=Yt[r],o=ie[`${n}${_}`];if(!c||c.includes(_))for(let s=0;s<A.length;s++){let i=A[s];e[o[s]]=[t[i][0],t[i][1],(t[i][2]+e[o[s]][2])/2]}}}var Kt=class{constructor(t,n,c){var r,_;this.storedBoxes=[],this.boundingBoxDetector=t,this.meshDetector=n,this.irisModel=c,this.boxSize=((r=t==null?void 0:t.model)==null?void 0:r.inputs[0].shape[2])||0,this.meshSize=(n==null?void 0:n.inputs[0].shape[2])||((_=t==null?void 0:t.model)==null?void 0:_.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,n,c,r){let _=We({startPoint:n.startPoint,endPoint:n.endPoint}),A=t.map(h=>[_[0]/this.meshSize*(h[0]-this.meshSize/2),_[1]/this.meshSize*(h[1]-this.meshSize/2),h[2]]),o=c!==0?ct(c,[0,0]):rt,s=c!==0?A.map(h=>[...G1(h,o),h[2]]):A,i=c!==0?D1(r):rt,a=[...Pe({startPoint:n.startPoint,endPoint:n.endPoint}),1];return s.map(h=>[h[0]+ye(a,i[0]),h[1]+ye(a,i[1]),h[2]])}getLeftToRightEyeDepthDifference(t){let n=t[ze.leftBounds[0]][2],c=t[ze.rightBounds[0]][2];return n-c}getEyeBox(t,n,c,r,_=!1){let A=nt(tt(this.calculateLandmarksBoundingBox([t[c],t[r]]),this.irisEnlarge)),o=We(A),s=U.image.cropAndResize(n,[[A.startPoint[1]/this.meshSize,A.startPoint[0]/this.meshSize,A.endPoint[1]/this.meshSize,A.endPoint[0]/this.meshSize]],[0],[this.irisSize,this.irisSize]);return _&&U.ENV.flags.IS_BROWSER&&(s=U.image.flipLeftRight(s)),{box:A,boxSize:o,crop:s}}getEyeCoords(t,n,c,r=!1){let _=[];for(let A=0;A<Ee.numCoordinates;A++){let o=t[A*3],s=t[A*3+1],i=t[A*3+2];_.push([(r?1-o/this.irisSize:o/this.irisSize)*c[0]+n.startPoint[0],s/this.irisSize*c[1]+n.startPoint[1],i])}return{rawCoords:_,iris:_.slice(Ee.index)}}getAdjustedIrisCoords(t,n,c){let r=t[ie[`${c}EyeUpper0`][Ee.upperCenter]][2],_=t[ie[`${c}EyeLower0`][Ee.lowerCenter]][2],A=(r+_)/2;return n.map((o,s)=>{let i=A;return s===2?i=r:s===4&&(i=_),[o[0],o[1],i]})}async predict(t,n){let c=!1,r;if((this.skipped===0||this.skipped>n.face.detector.skipFrames||!n.face.mesh.enabled||!n.videoOptimized)&&(r=await this.boundingBoxDetector.getBoundingBoxes(t),this.skipped=0),n.videoOptimized&&this.skipped++,!n.videoOptimized||r&&r.boxes&&(!n.face.mesh.enabled||r.boxes.length!==this.detectedFaces&&this.detectedFaces!==n.face.detector.maxFaces)){this.storedBoxes=[],this.detectedFaces=0;for(let A of r.boxes)this.storedBoxes.push({startPoint:A.box.startPoint.dataSync(),endPoint:A.box.endPoint.dataSync(),landmarks:A.landmarks,confidence:A.confidence});this.storedBoxes.length>0&&(c=!0)}if(n.face.detector.skipInitial&&this.detectedFaces===0&&(this.skipped=0),c){if(!r||!r.boxes||r.boxes.length===0)return this.storedBoxes=[],this.detectedFaces=0,null;for(let A=0;A<this.storedBoxes.length;A++){let o=J1({startPoint:this.storedBoxes[A].startPoint,endPoint:this.storedBoxes[A].endPoint},r.scaleFactor),s=tt(o),i=nt(s),a=this.storedBoxes[A].landmarks.arraySync(),h=this.storedBoxes[A].confidence;this.storedBoxes[A]={...i,confidence:h,landmarks:a}}}r&&r.boxes&&r.boxes.forEach(A=>{A.box.startPoint.dispose(),A.box.endPoint.dispose(),A.landmarks.dispose()});let _=U.tidy(()=>this.storedBoxes.map((A,o)=>{let s=A.confidence,i,a=0,h;if(n.face.detector.rotation&&n.face.mesh.enabled&&U.ENV.flags.IS_BROWSER){let[b,w]=A.landmarks.length>=At.count?At.symmetryLine:Q1.symmetryLine;a=Ut(A.landmarks[b],A.landmarks[w]);let g=Pe({startPoint:A.startPoint,endPoint:A.endPoint}),z=[g[0]/t.shape[2],g[1]/t.shape[1]],S=U.image.rotateWithOffset(t,a,0,z);h=ct(-a,g),n.face.mesh.enabled?i=Me({startPoint:A.startPoint,endPoint:A.endPoint},S,[this.meshSize,this.meshSize]).div(255):i=Me({startPoint:A.startPoint,endPoint:A.endPoint},S,[this.boxSize,this.boxSize]).div(255)}else{h=rt;let b=t.clone();n.face.mesh.enabled?i=Me({startPoint:A.startPoint,endPoint:A.endPoint},b,[this.meshSize,this.meshSize]).div(255):i=Me({startPoint:A.startPoint,endPoint:A.endPoint},b,[this.boxSize,this.boxSize]).div(255)}if(!n.face.mesh.enabled)return{coords:null,box:A,faceConfidence:null,boxConfidence:s,confidence:A.confidence,image:i};let[,y,f]=this.meshDetector.predict(i),u=y.dataSync()[0];if(u<n.face.detector.minConfidence)return null;let m=U.reshape(f,[-1,3]).arraySync();if(n.face.iris.enabled){let{box:b,boxSize:w,crop:g}=this.getEyeBox(m,i,ze.leftBounds[0],ze.leftBounds[1],!0),{box:z,boxSize:S,crop:V}=this.getEyeBox(m,i,ze.rightBounds[0],ze.rightBounds[1]),G=this.irisModel.predict(U.concat([g,V])).dataSync(),Pt=G.slice(0,Ee.numCoordinates*3),{rawCoords:Fe,iris:me}=this.getEyeCoords(Pt,b,w,!0),q0=G.slice(Ee.numCoordinates*3),{rawCoords:N1,iris:B0}=this.getEyeCoords(q0,z,S),O1=this.getLeftToRightEyeDepthDifference(m);Math.abs(O1)<30?(_t(m,Fe,"left",null),_t(m,N1,"right",null)):O1<1?_t(m,Fe,"left",["EyeUpper0","EyeLower0"]):_t(m,N1,"right",["EyeUpper0","EyeLower0"]);let U0=this.getAdjustedIrisCoords(m,me,"left"),Y0=this.getAdjustedIrisCoords(m,B0,"right");m=m.concat(U0).concat(Y0)}let p=this.transformRawCoords(m,A,a,h);A=tt(this.calculateLandmarksBoundingBox(p),1.5);let P=U.tensor2d(p);if(n.face.detector.rotation&&n.face.mesh.enabled&&(n.face.description.enabled||n.face.embedding.enabled)&&U.ENV.flags.IS_BROWSER){let[b,w]=A.landmarks.length>=At.count?At.symmetryLine:Q1.symmetryLine;a=Ut(A.landmarks[b],A.landmarks[w]);let g=Pe({startPoint:A.startPoint,endPoint:A.endPoint}),z=[g[0]/t.shape[2],g[1]/t.shape[1]],S=U.image.rotateWithOffset(t,a,0,z);h=ct(-a,g),i=Me({startPoint:A.startPoint,endPoint:A.endPoint},S,[this.meshSize,this.meshSize]).div(255)}let R={coords:P,box:A,faceConfidence:u,boxConfidence:s,image:i,rawCoords:m},I=nt(A);return this.storedBoxes[o]={...I,landmarks:p,confidence:A.confidence,faceConfidence:u},R}));return _=_.filter(A=>A!==null),n.face.mesh.enabled&&(this.storedBoxes=this.storedBoxes.filter(A=>A.faceConfidence>n.face.detector.minConfidence)),this.detectedFaces=_.length,_}calculateLandmarksBoundingBox(t){let n=t.map(A=>A[0]),c=t.map(A=>A[1]),r=[Math.min(...n),Math.min(...c)],_=[Math.max(...n),Math.max(...c)];return{startPoint:r,endPoint:_,landmarks:t}}};var Qt=class{constructor(t,n,c,r){this.facePipeline=new Kt(t,n,c),this.config=r}async estimateFaces(t,n){let c=await this.facePipeline.predict(t,n),r=[];for(let _ of c||[]){if(_.isDisposedInternal)continue;let A=_.coords?_.coords.arraySync():[],o=A.map(h=>[h[0]/t.shape[2],h[1]/t.shape[1],h[2]/this.facePipeline.meshSize]),s={};if(A&&A.length>0)for(let h of Object.keys(ie))s[h]=ie[h].map(y=>A[y]);let i=_.box?[Math.max(0,_.box.startPoint[0]),Math.max(0,_.box.startPoint[1]),Math.min(t.shape[2],_.box.endPoint[0])-Math.max(0,_.box.startPoint[0]),Math.min(t.shape[1],_.box.endPoint[1])-Math.max(0,_.box.startPoint[1])]:0,a=_.box?[_.box.startPoint[0]/t.shape[2],_.box.startPoint[1]/t.shape[1],(_.box.endPoint[0]-_.box.startPoint[0])/t.shape[2],(_.box.endPoint[1]-_.box.startPoint[1])/t.shape[1]]:[];r.push({confidence:Math.round(100*_.faceConfidence||100*_.boxConfidence||0)/100,boxConfidence:Math.round(100*_.boxConfidence)/100,faceConfidence:Math.round(100*_.faceConfidence)/100,box:i,boxRaw:a,mesh:A,meshRaw:o,annotations:s,image:_.image?_.image.clone():null}),_.coords&&_.coords.dispose(),_.image&&_.image.dispose()}return r}},F=[null,null,null];async function $t(e){return!F[0]&&e.face.enabled||!F[1]&&e.face.mesh.enabled||!F[2]&&e.face.iris.enabled?(F=await Promise.all([!F[0]&&e.face.enabled?U1(e):null,!F[1]&&e.face.mesh.enabled?Gt.loadGraphModel(N(e.modelBasePath,e.face.mesh.modelPath),{fromTFHub:e.face.mesh.modelPath.includes("tfhub.dev")}):null,!F[2]&&e.face.iris.enabled?Gt.loadGraphModel(N(e.modelBasePath,e.face.iris.modelPath),{fromTFHub:e.face.iris.modelPath.includes("tfhub.dev")}):null]),e.face.mesh.enabled&&(!F[1]||!F[1].modelUrl?d("load model failed:",e.face.mesh.modelPath):e.debug&&d("load model:",F[1].modelUrl)),e.face.iris.enabled&&(!F[2]||!F[1].modelUrl?d("load model failed:",e.face.iris.modelPath):e.debug&&d("load model:",F[2].modelUrl))):e.debug&&(d("cached model:",F[0].model.modelUrl),d("cached model:",F[1].modelUrl),d("cached model:",F[2].modelUrl)),new Qt(F[0],F[1],F[2],e)}var $1=ue,e0=Ne;var h1={};se(h1,{PoseNet:()=>i1,load:()=>a1});var m0=Z(L());var t0=Z(L());function mn(e){let[t,n,c,r]=e;return{offsets:t,heatmap:n,displacementFwd:c,displacementBwd:r}}var e1=class{constructor(t){this.model=t}predict(t){return t0.tidy(()=>{let c=t.toFloat().div(127.5).sub(1).expandDims(0),_=this.model.predict(c).map(o=>o.squeeze([0])),A=mn(_);return{heatmapScores:A.heatmap.sigmoid(),offsets:A.offsets,displacementFwd:A.displacementFwd,displacementBwd:A.displacementBwd}})}dispose(){this.model.dispose()}};function t1(e){return Math.floor(e/2)}var n1=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(t1(t),t);)this.exchange(t,t1(t)),t=t1(t)}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 c=this.priorityQueue[t];this.priorityQueue[t]=this.priorityQueue[n],this.priorityQueue[n]=c}};function pn(e,t,n,c,r,_){let[A,o]=_.shape,s=!0,i=Math.max(n-r,0),a=Math.min(n+r+1,A);for(let h=i;h<a;++h){let y=Math.max(c-r,0),f=Math.min(c+r+1,o);for(let u=y;u<f;++u)if(_.get(h,u,e)>t){s=!1;break}if(!s)break}return s}function n0(e,t,n){let[c,r,_]=n.shape,A=new n1(c*r*_,({score:o})=>o);for(let o=0;o<c;++o)for(let s=0;s<r;++s)for(let i=0;i<_;++i){let a=n.get(o,s,i);a<e||pn(i,a,o,s,t,n)&&A.enqueue({score:a,part:{heatmapY:o,heatmapX:s,id:i}})}return A}var ve=["nose","leftEye","rightEye","leftEar","rightEar","leftShoulder","rightShoulder","leftElbow","rightElbow","leftWrist","rightWrist","leftHip","rightHip","leftKnee","rightKnee","leftAnkle","rightAnkle"],Re=ve.length,Oe=ve.reduce((e,t,n)=>(e[t]=n,e),{}),un=[["leftHip","leftShoulder"],["leftElbow","leftShoulder"],["leftElbow","leftWrist"],["leftHip","leftKnee"],["leftKnee","leftAnkle"],["rightHip","rightShoulder"],["rightElbow","rightShoulder"],["rightElbow","rightWrist"],["rightHip","rightKnee"],["rightKnee","rightAnkle"],["leftShoulder","rightShoulder"],["leftHip","rightHip"]],Ir=un.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"]];function r1(e,t,n,c){return{y:c.get(e,t,n),x:c.get(e,t,n+Re)}}function ot(e,t,n){let{heatmapY:c,heatmapX:r,id:_}=e,{y:A,x:o}=r1(c,r,_,n);return{x:e.heatmapX*t+o,y:e.heatmapY*t+A}}function c1(e,t,n){return e<t?t:e>n?n:e}function c0(e,t,n,c){let r=n-e,_=c-t;return r*r+_*_}function A1(e,t){return{x:e.x+t.x,y:e.y+t.y}}var ne=Z(L());function A0(e,t){let n=t.shape[0],c=new Float32Array(n);for(let r=0;r<n;r++){let _=t.get(r,0),A=t.get(r,1);c[r]=e.get(_,A,r)}return c}function bn(e,t,n,c){return{y:c.get(e,t,n),x:c.get(e,t,n+Re)}}function gn(e,t){let n=[];for(let c=0;c<Re;c++){let r=e.get(c,0).valueOf(),_=e.get(c,1).valueOf(),{x:A,y:o}=bn(r,_,c,t);n.push(o),n.push(A)}return ne.tensor2d(n,[Re,2])}function _0(e,t,n){return ne.tidy(()=>e.toTensor().mul(ne.scalar(t,"int32")).toFloat().add(gn(e,n)))}function Tn(e,t){return ne.tidy(()=>{let n=e.div(ne.scalar(t,"int32"));return e.sub(n.mul(ne.scalar(t,"int32")))})}function o0(e){let[t,n,c]=e.shape;return ne.tidy(()=>{let _=e.reshape([t*n,c]).argMax(0),A=_.div(ne.scalar(n,"int32")).expandDims(1),o=Tn(_,n).expandDims(1);return ne.concat([A,o],1)})}var s0=r0.map(([e,t])=>[Oe[e],Oe[t]]),_1=s0.map(([,e])=>e),h0=s0.map(([e])=>e),Pn=16;function Mn(e,t,n){let c=n.shape[2]/2;return{y:n.get(t.y,t.x,e),x:n.get(t.y,t.x,c+e)}}function o1(e,t,n,c){return{y:c1(Math.round(e.y/t),0,n-1),x:c1(Math.round(e.x/t),0,c-1)}}function i0(e,t,n,c,r,_,A,o=2){let[s,i]=c.shape,a=o1(t.position,_,s,i),h=Mn(e,a,A),f=A1(t.position,h);for(let m=0;m<o;m++){let p=o1(f,_,s,i),P=r1(p.y,p.x,n,r);f=A1({x:p.x*_,y:p.y*_},{x:P.x,y:P.y})}let u=o1(f,_,s,i),x=c.get(u.y,u.x,n);return{position:f,part:ve[n],score:x}}function a0(e,t,n,c,r,_){let A=t.shape[2],o=_1.length,s=new Array(A),{part:i,score:a}=e,h=ot(i,c,n);s[i.id]={score:a,part:ve[i.id],position:h};for(let y=o-1;y>=0;--y){let f=_1[y],u=h0[y];s[f]&&!s[u]&&(s[u]=i0(y,s[f],u,t,n,c,_))}for(let y=0;y<o;++y){let f=h0[y],u=_1[y];s[f]&&!s[u]&&(s[u]=i0(y,s[f],u,t,n,c,r))}return s}async function x0(e,t,n){let c=0,r=o0(e),_=await Promise.all([e.buffer(),t.buffer(),r.buffer()]),A=_[0],o=_[1],s=_[2],i=_0(s,Pn,o),a=await i.buffer(),y=Array.from(A0(A,s)).map((u,x)=>(c+=u,{position:{y:a.get(x,0),x:a.get(x,1)},part:ve[x],score:u})),f=y.filter(u=>u.score>n);return r.dispose(),i.dispose(),{keypoints:f,score:c/y.length}}var zn=1,y0=16;function w0(e,t,{x:n,y:c},r){return e.some(({keypoints:_})=>{let A=_[r].position;return c0(c,n,A.y,A.x)<=t})}function En(e,t,n){return n.reduce((r,{position:_,score:A},o)=>(w0(e,t,_,o)||(r+=A),r),0)/n.length}function l0(e,t,n,c,r,_,A){let o=[],s=n0(A,zn,e),i=r^2;for(;o.length<_&&!s.empty();){let a=s.dequeue(),h=ot(a.part,y0,t);if(w0(o,i,h,a.part.id))continue;let y=a0(a,e,t,y0,n,c),f=En(o,i,y);f>A&&o.push({keypoints:y,score:Math.round(100*f)/100})}return o}async function d0(e){return Promise.all(e.map(t=>t.buffer()))}function vn(e,t,n){return{score:e.score,keypoints:e.keypoints.map(({score:c,part:r,position:_})=>({score:c,part:r,position:{x:Math.trunc(_.x*n),y:Math.trunc(_.y*t)}}))}}function f0(e,[t,n]){let c=e.squeeze(0),r=c.resizeBilinear([t,n]);return c.dispose(),r}function s1(e,[t,n],[c,r]){return e.map(A=>vn(A,t/c,n/r))}var be;async function Rn(e,t,n,c){return new Promise(async r=>{let _=await d0([t.heatmapScores,t.offsets,t.displacementFwd,t.displacementBwd]),A=_[0],o=_[1],s=_[2],i=_[3],a=await l0(A,o,s,i,n.body.nmsRadius,n.body.maxDetections,n.body.scoreThreshold),h=s1(a,[e.shape[1],e.shape[2]],[c,c]);r(h)})}async function Sn(e,t,n,c){return new Promise(async r=>{let _=await x0(t.heatmapScores,t.offsets,n.body.scoreThreshold),A=s1([_],[e.shape[1],e.shape[2]],[c,c]);r(A)})}var i1=class{constructor(t){this.baseModel=t,this.inputSize=t.model.inputs[0].shape[1],this.inputSize<128&&(this.inputSize=257)}async estimatePoses(t,n){let c=f0(t,[this.inputSize,this.inputSize]),r=this.baseModel.predict(c,n),_=n.body.maxDetections<2?await Sn(t,r,n,this.inputSize):await Rn(t,r,n,this.inputSize);return r.heatmapScores.dispose(),r.offsets.dispose(),r.displacementFwd.dispose(),r.displacementBwd.dispose(),c.dispose(),_}dispose(){this.baseModel.dispose()}};async function a1(e){be?e.debug&&d("cached model:",be.modelUrl):(be=await m0.loadGraphModel(N(e.modelBasePath,e.body.modelPath)),!be||!be.modelUrl?d("load model failed:",e.body.modelPath):e.debug&&d("load model:",be.modelUrl));let t=new e1(be);return new i1(t)}var d1={};se(d1,{HandPose:()=>p1,load:()=>u1});var f1=Z(L());var M=Z(L());var p0=Z(L());function st(e){return[Math.abs(e.endPoint[0]-e.startPoint[0]),Math.abs(e.endPoint[1]-e.startPoint[1])]}function ke(e){return[e.startPoint[0]+(e.endPoint[0]-e.startPoint[0])/2,e.startPoint[1]+(e.endPoint[1]-e.startPoint[1])/2]}function u0(e,t,n){let 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n=t.map(A=>A[0]),c=t.map(A=>A[1]),r=[Math.min(...n),Math.min(...c)],_=[Math.max(...n),Math.max(...c)];return{startPoint:r,endPoint:_}}};var 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R0=["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"],S0=["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&&d("cached model:",C.modelUrl):(C=await le.loadGraphModel(N(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?d("load model failed:",e.body.modelPath):e.debug&&d("load model:",C.modelUrl)),C}async function T1(e,t){if(!C||!t.body.enabled)return null;let n={width:e.shape[2],height:e.shape[1]},c=le.image.resizeBilinear(e,[C.width,C.height],!1),r=le.div(c,[255]);c.dispose();let _;if(t.profile){let a=await le.profile(()=>C.predict(r));_=a.result.find(h=>h.size===195||h.size===155).dataSync(),a.result.forEach(h=>h.dispose()),J("blazepose",a)}else{let a=await C.predict(r);_=a.find(h=>h.size===195||h.size===155).dataSync(),a.forEach(h=>h.dispose())}r.dispose();let A=[],o=_.length===195?R0:S0,s=5;for(let 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r,_=[];_.length=0,r=t[c].keypoints.find(A=>A.part==="leftShoulder"),r&&r.score>W.body.scoreThreshold&&_.push([r.position.x,r.position.y]),r=t[c].keypoints.find(A=>A.part==="rightShoulder"),r&&r.score>W.body.scoreThreshold&&_.push([r.position.x,r.position.y]),Le(n,_),_.length=0,r=t[c].keypoints.find(A=>A.part==="rightShoulder"),r&&r.score>W.body.scoreThreshold&&_.push([r.position.x,r.position.y]),r=t[c].keypoints.find(A=>A.part==="rightHip"),r&&r.score>W.body.scoreThreshold&&_.push([r.position.x,r.position.y]),r=t[c].keypoints.find(A=>A.part==="leftHip"),r&&r.score>W.body.scoreThreshold&&_.push([r.position.x,r.position.y]),r=t[c].keypoints.find(A=>A.part==="leftShoulder"),r&&r.score>W.body.scoreThreshold&&_.push([r.position.x,r.position.y]),_.length===4&&W1(n,_),_.length=0,r=t[c].keypoints.find(A=>A.part==="leftHip"),r&&r.score>W.body.scoreThreshold&&_.push([r.position.x,r.position.y]),r=t[c].keypoints.find(A=>A.part==="leftKnee"),r&&r.score>W.body.scoreThreshold&&_.push([r.position.x,r.position.y]),r=t[c].keypoints.find(A=>A.part==="leftAnkle"),r&&r.score>W.body.scoreThreshold&&_.push([r.position.x,r.position.y]),r=t[c].keypoints.find(A=>A.part==="leftHeel"),r&&r.score>W.body.scoreThreshold&&_.push([r.position.x,r.position.y]),r=t[c].keypoints.find(A=>A.part==="leftFoot"),r&&r.score>W.body.scoreThreshold&&_.push([r.position.x,r.position.y]),Le(n,_),_.length=0,r=t[c].keypoints.find(A=>A.part==="rightHip"),r&&r.score>W.body.scoreThreshold&&_.push([r.position.x,r.position.y]),r=t[c].keypoints.find(A=>A.part==="rightKnee"),r&&r.score>W.body.scoreThreshold&&_.push([r.position.x,r.position.y]),r=t[c].keypoints.find(A=>A.part==="rightAnkle"),r&&r.score>W.body.scoreThreshold&&_.push([r.position.x,r.position.y]),r=t[c].keypoints.find(A=>A.part==="rightHeel"),r&&r.score>W.body.scoreThreshold&&_.push([r.position.x,r.position.y]),r=t[c].keypoints.find(A=>A.part==="rightFoot"),r&&r.score>W.body.scoreThreshold&&_.push([r.position.x,r.position.y]),Le(n,_),_.length=0,r=t[c].keypoints.find(A=>A.part==="leftShoulder"),r&&r.score>W.body.scoreThreshold&&_.push([r.position.x,r.position.y]),r=t[c].keypoints.find(A=>A.part==="leftElbow"),r&&r.score>W.body.scoreThreshold&&_.push([r.position.x,r.position.y]),r=t[c].keypoints.find(A=>A.part==="leftWrist"),r&&r.score>W.body.scoreThreshold&&_.push([r.position.x,r.position.y]),r=t[c].keypoints.find(A=>A.part==="leftPalm"),r&&r.score>W.body.scoreThreshold&&_.push([r.position.x,r.position.y]),Le(n,_),_.length=0,r=t[c].keypoints.find(A=>A.part==="rightShoulder"),r&&r.score>W.body.scoreThreshold&&_.push([r.position.x,r.position.y]),r=t[c].keypoints.find(A=>A.part==="rightElbow"),r&&r.score>W.body.scoreThreshold&&_.push([r.position.x,r.position.y]),r=t[c].keypoints.find(A=>A.part==="rightWrist"),r&&r.score>W.body.scoreThreshold&&_.push([r.position.x,r.position.y]),r=t[c].keypoints.find(A=>A.part==="rightPalm"),r&&r.score>W.body.scoreThreshold&&_.push([r.position.x,r.position.y]),Le(n,_)}}}}async 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2Q==`;var X0="1.4.1";var je,He,Ve,ge,ut,Xe,bt,gt,Tt,F0=class{constructor(t={}){je.set(this,void 0);He.set(this,void 0);Ve.set(this,void 0);ge.set(this,void 0);this.analyze=(...t)=>{if(!ce(this,He))return;let n=this.tf.engine().state.numTensors,c=ce(this,je);pe(this,je,n);let r=n-c;r!==0&&d(...t,r)};ut.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(n){return"backend not loaded"}return null});Xe.set(this,async(t=!1)=>{if(this.config.backend&&this.config.backend!==""&&t||this.tf.getBackend()!==this.config.backend){let n=v();if(this.state="backend",this.config.backend&&this.config.backend!==""){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==="wasm")&&(this.config.backend="tensorflow"),this.config.debug&&d("setting backend:",this.config.backend),this.config.backend==="wasm"){this.config.debug&&d("wasm path:",this.config.wasmPath),this.tf.setWasmPaths(this.config.wasmPath);let c=await this.tf.env().getAsync("WASM_HAS_SIMD_SUPPORT"),r=await this.tf.env().getAsync("WASM_HAS_MULTITHREAD_SUPPORT");this.config.debug&&d(`wasm execution: ${c?"SIMD":"no SIMD"} ${r?"multithreaded":"singlethreaded"}`),c||d("warning: wasm simd support is not enabled")}this.config.backend==="humangl"&&V1();try{await this.tf.setBackend(this.config.backend)}catch(c){d("error: cannot set backend:",this.config.backend,c)}}if(this.tf.enableProdMode(),this.tf.getBackend()==="webgl"||this.tf.getBackend()==="humangl"){this.tf.ENV.set("CHECK_COMPUTATION_FOR_ERRORS",!1),this.tf.ENV.set("WEBGL_PACK_DEPTHWISECONV",!0),this.config.deallocate&&(d("changing webgl: WEBGL_DELETE_TEXTURE_THRESHOLD:",this.config.deallocate),this.tf.ENV.set("WEBGL_DELETE_TEXTURE_THRESHOLD",this.config.deallocate?0:-1));let c=await this.tf.backend().getGPGPUContext().gl;this.config.debug&&d(`gl version:${c.getParameter(c.VERSION)} renderer:${c.getParameter(c.RENDERER)}`)}await this.tf.ready(),this.perf.backend=Math.trunc(v()-n)}});bt.set(this,async()=>{let t=(r,_="application/octet-stream")=>fetch(`data:${_};base64,${r}`).then(A=>A.blob()),n,c;switch(this.config.warmup){case"face":n=await t(mt);break;case"full":n=await t(pt);break;default:n=null}if(n){let r=await createImageBitmap(n);c=await this.detect(r,this.config),r.close()}return c});gt.set(this,async()=>new Promise(t=>{let n,c=0;switch(this.config.warmup){case"face":c=256,n="data:image/jpeg;base64,"+mt;break;case"full":case"body":c=1200,n="data:image/jpeg;base64,"+pt;break;default:n=null}let r=new Image;r.onload=async()=>{let _=typeof OffscreenCanvas!="undefined"?new OffscreenCanvas(c,c):document.createElement("canvas");_.width=r.naturalWidth,_.height=r.naturalHeight;let A=_.getContext("2d");A==null||A.drawImage(r,0,0);let o=await this.detect(_,this.config);t(o)},n?r.src=n:t(null)}));Tt.set(this,async()=>{var A;let t=o=>Buffer.from(o,"base64"),n=this.config.warmup==="face"?t(mt):t(pt),c=(A=Ze.node)==null?void 0:A.decodeJpeg(n),r=c.expandDims(0);this.tf.dispose(c);let _=await this.detect(r,this.config);return this.tf.dispose(r),_});this.tf=Ze,this.draw=j1,this.version=X0,this.config=Te(W,t),this.state="idle",pe(this,je,0),pe(this,He,!1),pe(this,Ve,!1),pe(this,ge,!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=n=>S1(n,this.config),this.classes={facemesh:Dt,age:Et,gender:Rt,emotion:Ot,faceres:Vt,body:this.config.body.modelPath.includes("posenet")?h1:b1,hand:d1,nanodet:z1},this.faceTriangulation=$1,this.faceUVMap=e0,this.sysinfo=L1()}profileData(){return this.config.profile?Be:{}}similarity(t,n){return this.config.face.description.enabled?Ft(t,n):this.config.face.embedding.enabled?X1(t,n):0}enhance(t){return qt(t)}match(t,n,c=0){return F1(t,n,c)}async load(t={}){this.state="load";let n=v();t&&(this.config=Te(this.config,t)),ce(this,ge)&&(this.config.debug&&d(`version: ${this.version}`),this.config.debug&&d(`tfjs version: ${this.tf.version_core}`),this.config.debug&&d("platform:",this.sysinfo.platform),this.config.debug&&d("agent:",this.sysinfo.agent),await ce(this,Xe).call(this,!0),this.tf.ENV.flags.IS_BROWSER&&(this.config.debug&&d("configuration:",this.config),this.config.debug&&d("tf flags:",this.tf.ENV.flags))),this.config.async?[this.models.face,this.models.age,this.models.gender,this.models.emotion,this.models.embedding,this.models.handpose,this.models.posenet,this.models.blazepose,this.models.efficientpose,this.models.nanodet,this.models.faceres]=await Promise.all([this.models.face||(this.config.face.enabled?$t(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?Nt(this.config):null),this.models.emotion||(this.config.face.enabled&&this.config.face.emotion.enabled?Lt(this.config):null),this.models.embedding||(this.config.face.enabled&&this.config.face.embedding.enabled?Zt(this.config):null),this.models.handpose||(this.config.hand.enabled?u1(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?v1(this.config):null),this.models.faceres||(this.config.face.enabled&&this.config.face.description.enabled?Xt(this.config):null)]):(this.config.face.enabled&&!this.models.face&&(this.models.face=await $t(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 Nt(this.config)),this.config.face.enabled&&this.config.face.emotion.enabled&&!this.models.emotion&&(this.models.emotion=await Lt(this.config)),this.config.face.enabled&&this.config.face.embedding.enabled&&!this.models.embedding&&(this.models.embedding=await Zt(this.config)),this.config.hand.enabled&&!this.models.handpose&&(this.models.handpose=await u1(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 v1(this.config)),this.config.face.enabled&&this.config.face.description.enabled&&!this.models.faceres&&(this.models.faceres=await Xt(this.config))),ce(this,ge)&&(this.config.debug&&d("tf engine state:",this.tf.engine().state.numBytes,"bytes",this.tf.engine().state.numTensors,"tensors"),pe(this,ge,!1));let c=Math.trunc(v()-n);c>(this.perf.load||0)&&(this.perf.load=c)}async detect(t,n={}){return new Promise(async c=>{var m,p,P,R;this.state="config";let r;this.config=Te(this.config,n),this.state="check";let _=ce(this,ut).call(this,t);_&&(d(_,t),c({error:_}));let A=v();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&&(t instanceof HTMLImageElement||t instanceof Image||t instanceof ImageData||t instanceof ImageBitmap||t instanceof Ze.Tensor)&&(d("disabling video optimization"),o=this.config.videoOptimized,this.config.videoOptimized=!1),r=v();let s=S1(t,this.config);if(!s||!s.tensor){d("could not convert input to tensor"),c({error:"could not convert input to tensor"});return}this.perf.image=Math.trunc(v()-r),this.analyze("Get Image:");let i,a,h,y,f;this.config.async?(h=this.config.face.enabled?Bt(this,s.tensor):[],this.perf.face&&delete this.perf.face):(this.state="run:face",r=v(),h=this.config.face.enabled?await Bt(this,s.tensor):[],f=Math.trunc(v()-r),f>0&&(this.perf.face=f)),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",r=v(),this.config.body.modelPath.includes("posenet")?i=this.config.body.enabled?await((p=this.models.posenet)==null?void 0:p.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):[]),f=Math.trunc(v()-r),f>0&&(this.perf.body=f)),this.analyze("End Body:"),this.analyze("Start Hand:"),this.config.async?(a=this.config.hand.enabled?(P=this.models.handpose)==null?void 0:P.estimateHands(s.tensor,this.config):[],this.perf.hand&&delete this.perf.hand):(this.state="run:hand",r=v(),a=this.config.hand.enabled?await((R=this.models.handpose)==null?void 0:R.estimateHands(s.tensor,this.config)):[],f=Math.trunc(v()-r),f>0&&(this.perf.hand=f)),this.analyze("End Hand:"),this.analyze("Start Object:"),this.config.async?(y=this.config.object.enabled?R1(s.tensor,this.config):[],this.perf.object&&delete this.perf.object):(this.state="run:object",r=v(),y=this.config.object.enabled?await R1(s.tensor,this.config):[],f=Math.trunc(v()-r),f>0&&(this.perf.object=f)),this.analyze("End Object:"),this.config.async&&([h,i,a,y]=await Promise.all([h,i,a,y])),Ze.dispose(s.tensor),this.config.scoped&&this.tf.engine().endScope(),this.analyze("End Scope:");let u=[];this.config.gesture.enabled&&(r=v(),u=[...W0(h),...j0(i),...O0(a),...N0(h)],this.config.async?this.perf.gesture&&delete this.perf.gesture:this.perf.gesture=Math.trunc(v()-r)),o&&(this.config.videoOptimized=o),this.perf.total=Math.trunc(v()-A),this.state="idle";let x={face:h,body:i,hand:a,gesture:u,object:y,performance:this.perf,canvas:s.canvas};c(x)})}async warmup(t={}){let n=v();t&&(this.config=Te(this.config,t));let c=this.config.videoOptimized;this.config.videoOptimized=!1;let r;typeof createImageBitmap=="function"?r=await ce(this,bt).call(this):typeof Image!="undefined"?r=await ce(this,gt).call(this):r=await ce(this,Tt).call(this),this.config.videoOptimized=c;let _=v();return this.config.debug&&d("Warmup",this.config.warmup,Math.round(_-n),"ms",r),r}};je=new WeakMap,He=new WeakMap,Ve=new WeakMap,ge=new WeakMap,ut=new WeakMap,Xe=new WeakMap,bt=new WeakMap,gt=new WeakMap,Tt=new WeakMap;0&&(module.exports={Human});
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