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

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t0=v($1=>{var B=m(S()),O=m(K1()),H=m(Q1()),Q=m($e()),p5=468,b5=13,g5=[b5,Q.MESH_ANNOTATIONS.midwayBetweenEyes[0]],T5=3,P5=2,v5=[T5,P5],e1=Q.MESH_ANNOTATIONS.leftEyeLower0,t1=[e1[0],e1[e1.length-1]],n1=Q.MESH_ANNOTATIONS.rightEyeLower0,r1=[n1[0],n1[n1.length-1]],R5=3,E5=4,z5=71,A1=76;function Oe(t,e,n,r){for(let A=0;A<Q.MESH_TO_IRIS_INDICES_MAP.length;A++){let{key:c,indices:_}=Q.MESH_TO_IRIS_INDICES_MAP[A],h=Q.MESH_ANNOTATIONS[`${n}${c}`];if(r==null||r.includes(c))for(let o=0;o<_.length;o++){let i=_[o];t[h[o]]=[e[i][0],e[i][1],(e[i][2]+t[h[o]][2])/2]}}}var e0=class{constructor(e,n,r,A){this.storedBoxes=[],this.runsWithoutFaceDetector=0,this.boundingBoxDetector=e,this.meshDetector=n,this.irisModel=r,this.meshWidth=A.face.mesh.inputSize,this.meshHeight=A.face.mesh.inputSize,this.irisSize=A.face.iris.inputSize,this.irisEnlarge=2.3,this.skipped=0,this.detectedFaces=0}transformRawCoords(e,n,r,A){let c=O.getBoxSize({startPoint:n.startPoint,endPoint:n.endPoint}),_=[c[0]/this.meshWidth,c[1]/this.meshHeight],h=e.map(d=>[_[0]*(d[0]-this.meshWidth/2),_[1]*(d[1]-this.meshHeight/2),d[2]]),s=r!==0?H.buildRotationMatrix(r,[0,0]):H.IDENTITY_MATRIX,o=r!==0?h.map(d=>[...H.rotatePoint(d,s),d[2]]):h,i=r!==0?H.invertTransformMatrix(A):H.IDENTITY_MATRIX,a=[...O.getBoxCenter({startPoint:n.startPoint,endPoint:n.endPoint}),1];return o.map(d=>[d[0]+H.dot(a,i[0]),d[1]+H.dot(a,i[1]),d[2]])}getLeftToRightEyeDepthDifference(e){let n=e[t1[0]][2],r=e[r1[0]][2];return n-r}getEyeBox(e,n,r,A,c=!1){let _=O.squarifyBox(O.enlargeBox(this.calculateLandmarksBoundingBox([e[r],e[A]]),this.irisEnlarge)),h=O.getBoxSize(_),s=B.image.cropAndResize(n,[[_.startPoint[1]/this.meshHeight,_.startPoint[0]/this.meshWidth,_.endPoint[1]/this.meshHeight,_.endPoint[0]/this.meshWidth]],[0],[this.irisSize,this.irisSize]);return c&&(s=B.image.flipLeftRight(s)),{box:_,boxSize:h,crop:s}}getEyeCoords(e,n,r,A=!1){let c=[];for(let _=0;_<A1;_++){let h=e[_*3],s=e[_*3+1],o=e[_*3+2];c.push([(A?1-h/this.irisSize:h/this.irisSize)*r[0]+n.startPoint[0],s/this.irisSize*r[1]+n.startPoint[1],o])}return{rawCoords:c,iris:c.slice(z5)}}getAdjustedIrisCoords(e,n,r){let A=e[Q.MESH_ANNOTATIONS[`${r}EyeUpper0`][R5]][2],c=e[Q.MESH_ANNOTATIONS[`${r}EyeLower0`][E5]][2],_=(A+c)/2;return n.map((h,s)=>{let o=_;return s===2?o=A:s===4&&(o=c),[h[0],h[1],o]})}async predict(e,n){let r=!1,A;if((this.skipped===0||this.skipped>n.face.detector.skipFrames||!n.face.mesh.enabled||!n.videoOptimized)&&(A=await this.boundingBoxDetector.getBoundingBoxes(e),this.skipped=0),n.videoOptimized&&this.skipped++,A&&A.boxes&&(!n.face.mesh.enabled||A.boxes.length!==this.detectedFaces&&this.detectedFaces!==n.face.detector.maxFaces)){this.storedBoxes=[],this.detectedFaces=0;for(let _ of A.boxes)this.storedBoxes.push({startPoint:_.box.startPoint.dataSync(),endPoint:_.box.endPoint.dataSync(),landmarks:_.landmarks,confidence:_.confidence});this.storedBoxes.length>0&&(r=!0)}if(r){if(!A||!A.boxes||A.boxes.length===0)return this.storedBoxes=[],this.detectedFaces=0,null;for(let _=0;_<this.storedBoxes.length;_++){let h=O.scaleBoxCoordinates({startPoint:this.storedBoxes[_].startPoint,endPoint:this.storedBoxes[_].endPoint},A.scaleFactor),s=O.enlargeBox(h),o=O.squarifyBox(s),i=this.storedBoxes[_].landmarks.arraySync(),a=this.storedBoxes[_].confidence;this.storedBoxes[_]={...o,confidence:a,landmarks:i}}this.runsWithoutFaceDetector=0}A&&A.boxes&&A.boxes.forEach(_=>{_.box.startPoint.dispose(),_.box.endPoint.dispose(),_.landmarks.dispose()});let c=B.tidy(()=>this.storedBoxes.map((_,h)=>{let s,o=0,i;if(n.face.detector.rotation){let[f,p]=_.landmarks.length>=p5?g5:v5;o=H.computeRotation(_.landmarks[f],_.landmarks[p]);let w=O.getBoxCenter({startPoint:_.startPoint,endPoint:_.endPoint}),g=[w[0]/e.shape[2],w[1]/e.shape[1]],E=B.image.rotateWithOffset(e,o,0,g);i=H.buildRotationMatrix(-o,w),s=O.cutBoxFromImageAndResize({startPoint:_.startPoint,endPoint:_.endPoint},E,[this.meshHeight,this.meshWidth]).div(255)}else{i=H.IDENTITY_MATRIX;let f=e.clone();s=O.cutBoxFromImageAndResize({startPoint:_.startPoint,endPoint:_.endPoint},f,[this.meshHeight,this.meshWidth]).div(255)}if(!n.face.mesh.enabled)return{coords:null,box:_,faceConfidence:null,confidence:_.confidence,image:s};let[,a,d]=this.meshDetector.predict(s),x=a.dataSync()[0];if(x<n.face.detector.minConfidence)return null;let l=B.reshape(d,[-1,3]).arraySync();if(n.face.iris.enabled){let{box:f,boxSize:p,crop:w}=this.getEyeBox(l,s,t1[0],t1[1],!0),{box:g,boxSize:E,crop:N}=this.getEyeBox(l,s,r1[0],r1[1]),I1=this.irisModel.predict(B.concat([w,N])).dataSync(),zt=I1.slice(0,A1*3),{rawCoords:Z1,iris:Mt}=this.getEyeCoords(zt,f,p,!0),jt=I1.slice(A1*3),{rawCoords:V1,iris:Nt}=this.getEyeCoords(jt,g,E),k1=this.getLeftToRightEyeDepthDifference(l);Math.abs(k1)<30?(Oe(l,Z1,"left"),Oe(l,V1,"right")):k1<1?Oe(l,Z1,"left",["EyeUpper0","EyeLower0"]):Oe(l,V1,"right",["EyeUpper0","EyeLower0"]);let St=this.getAdjustedIrisCoords(l,Mt,"left"),Wt=this.getAdjustedIrisCoords(l,Nt,"right");l=l.concat(St).concat(Wt)}let k=this.transformRawCoords(l,_,o,i),j=O.enlargeBox(this.calculateLandmarksBoundingBox(k)),X=O.squarifyBox(j),D=B.tensor2d(k),G={coords:D,box:j,faceConfidence:x,confidence:_.confidence,image:s};return n.face.mesh.returnRawData&&(G.rawCoords=l),this.storedBoxes[h]={...X,landmarks:D.arraySync(),confidence:_.confidence,faceConfidence:x},G}));return c=c.filter(_=>_!==null),this.detectedFaces=c.length,c}calculateLandmarksBoundingBox(e){let n=e.map(_=>_[0]),r=e.map(_=>_[1]),A=[Math.min(...n),Math.min(...r)],c=[Math.max(...n),Math.max(...r)];return{startPoint:A,endPoint:c,landmarks:e}}};$1.Pipeline=e0});var A0=v(Ie=>{var Te=m(S()),n0=m(Y1()),r0=m(t0()),Pe=m($e()),c1=class{constructor(e,n,r,A){this.facePipeline=new r0.Pipeline(e,n,r,A),this.config=A}async estimateFaces(e,n){let r=await this.facePipeline.predict(e,n),A=[];for(let c of r||[]){if(c.isDisposedInternal)continue;let _=c.coords?c.coords.arraySync():null,h=c.rawCoords,s={};if(_&&_.length>0)for(let a of Object.keys(Pe.MESH_ANNOTATIONS))s[a]=Pe.MESH_ANNOTATIONS[a].map(d=>_[d]);let o=n.face.mesh.returnRawData&&c.box?{topLeft:c.box.startPoint,bottomRight:c.box.endPoint}:null,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])-c.box.startPoint[0],Math.min(e.shape[1],c.box.endPoint[1])-c.box.startPoint[1]]:0;A.push({confidence:c.confidence||0,box:i,mesh:_,boxRaw:o,meshRaw:h,annotations:s,image:c.image?Te.clone(c.image):null}),c.coords&&c.coords.dispose(),c.image&&c.image.dispose()}return A}},oe=[null,null,null];async function M5(t){oe=await Promise.all([!oe[0]&&t.face.enabled?n0.load(t):null,!oe[1]&&t.face.mesh.enabled?Te.loadGraphModel(t.face.mesh.modelPath,{fromTFHub:t.face.mesh.modelPath.includes("tfhub.dev")}):null,!oe[2]&&t.face.iris.enabled?Te.loadGraphModel(t.face.iris.modelPath,{fromTFHub:t.face.iris.modelPath.includes("tfhub.dev")}):null]);let e=new c1(oe[0],oe[1],oe[2],t);return t.face.mesh.enabled&&b(`load model: ${t.face.mesh.modelPath.match(/\/(.*)\./)[1]}`),t.face.iris.enabled&&b(`load model: ${t.face.iris.modelPath.match(/\/(.*)\./)[1]}`),e}Ie.load=M5;Ie.MediaPipeFaceMesh=c1;Ie.triangulation=Pe.TRI468});var ie=v(c0=>{var j5={};function N5(t,e){if(!e||!e.kernels)return;let n=5,r=e.kernels.filter(h=>h.kernelTimeMs>0).reduce((h,s)=>h+=s.kernelTimeMs,0),A=e.kernels.map((h,s)=>(h.id=s,h)).filter(h=>h.kernelTimeMs>0).sort((h,s)=>s.kernelTimeMs-h.kernelTimeMs),c=e.kernels.map((h,s)=>(h.id=s,h)).filter(h=>h.totalBytesSnapshot>0).sort((h,s)=>s.totalBytesSnapshot-h.totalBytesSnapshot);A.length>n&&(A.length=n),c.length>n&&(c.length=n);let _={newBytes:e.newBytes,newTensors:e.newTensors,peakBytes:e.peakBytes,numKernelOps:e.kernels.length,timeKernelOps:r,slowestKernelOps:A,largestKernelOps:c};j5[t]=_,b("Human profiler",t,_)}c0.run=N5});var h0=v(_1=>{var ae=m(S()),_0=m(ie()),h1=class{constructor(e,n){this.model=e,this.config=n}async estimateFaces(e,n){n&&(this.config=n);let r=[],A=ae.image.resizeBilinear(e,[this.config.face.detector.inputSize,this.config.face.detector.inputSize]),c=A.toInt(),_,h;if(n.profile){let s=await ae.profile(()=>this.model.executeAsync(c));_=s.result[0].dataSync(),h=s.result[1].squeeze().arraySync(),s.result.forEach(i=>i.dispose()),_0.run("faceboxes",s)}else{let[s,o,i]=await this.model.executeAsync(c);_=s.dataSync();let a=o.squeeze();h=a.arraySync(),s.dispose(),o.dispose(),a.dispose(),i.dispose()}c.dispose(),A.dispose();for(let s in h)if(_[s]&&_[s]>this.config.face.detector.minConfidence){let o=1.05,i=[h[s][0]/o,h[s][1]/o,h[s][2]*o,h[s][3]*o],a=[i[1],i[0],i[3]-i[1],i[2]-i[0]],d=[parseInt(a[0]*e.shape[2]),parseInt(a[1]*e.shape[1]),parseInt(a[2]*e.shape[2]),parseInt(a[3]*e.shape[1])],x=ae.image.cropAndResize(e,[i],[0],[this.config.face.detector.inputSize,this.config.face.detector.inputSize]);r.push({confidence:_[s],box:d,boxRaw:a,image:x})}return r}};async function S5(t){let e=await 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P=m(S()),et=class{constructor(e,n,r){this.model=e,this.anchors=r.map(A=>[A.x_center,A.y_center]),this.anchorsTensor=P.tensor2d(this.anchors),this.inputSizeTensor=P.tensor1d([n,n]),this.doubleInputSizeTensor=P.tensor1d([n*2,n*2])}normalizeBoxes(e){return P.tidy(()=>{let n=P.slice(e,[0,0],[-1,2]),r=P.slice(e,[0,2],[-1,2]),A=P.add(P.div(n,this.inputSizeTensor),this.anchorsTensor),c=P.div(r,this.doubleInputSizeTensor),_=P.mul(P.sub(A,c),this.inputSizeTensor),h=P.mul(P.add(A,c),this.inputSizeTensor);return P.concat2d([_,h],1)})}normalizeLandmarks(e,n){return P.tidy(()=>{let r=P.add(P.div(e.reshape([-1,7,2]),this.inputSizeTensor),this.anchors[n]);return P.mul(r,this.inputSizeTensor)})}async getBoxes(e,n){let r=this.model.predict(e),A=r.squeeze();r.dispose();let c=P.tidy(()=>P.sigmoid(P.slice(A,[0,0],[-1,1])).squeeze()),_=c.dataSync(),h=P.slice(A,[0,1],[-1,4]),s=this.normalizeBoxes(h);h.dispose();let o=await P.image.nonMaxSuppressionAsync(s,_,n.hand.maxHands,n.hand.iouThreshold,n.hand.scoreThreshold),i=o.arraySync();c.dispose(),o.dispose();let a=[];for(let d of i)if(_[d]>=n.hand.minConfidence){let x=P.slice(s,[d,0],[1,-1]),u=P.slice(A,[d,5],[1,14]),l=P.tidy(()=>this.normalizeLandmarks(u,d).reshape([-1,2]));u.dispose(),a.push({box:x,palmLandmarks:l,confidence:_[d]})}return A.dispose(),s.dispose(),a}async estimateHandBounds(e,n){let r=e.shape[1],A=e.shape[2],c=P.tidy(()=>e.resizeBilinear([n.hand.inputSize,n.hand.inputSize]).div(127.5).sub(1)),_=await this.getBoxes(c,n);c.dispose();let h=[];if(!_||_.length===0)return h;for(let s of _){let o=s.box.dataSync(),i=o.slice(0,2),a=o.slice(2,4),d=s.palmLandmarks.arraySync();s.box.dispose(),s.palmLandmarks.dispose(),h.push(Q0({startPoint:i,endPoint:a,palmLandmarks:d,confidence:s.confidence},[A/n.hand.inputSize,r/n.hand.inputSize]))}return h}};$0.HandDetector=et});var yt=v(_t=>{var Ke=m(S()),Tn=5,ht=1.65,st=[0,5,9,13,17,1,2],Pn=0,vn=2,xt=class{constructor(e,n,r){this.handDetector=e,this.landmarkDetector=n,this.inputSize=r,this.storedBoxes=[],this.skipped=0,this.detectedHands=0}getBoxForPalmLandmarks(e,n){let r=e.map(c=>E1([...c,1],n)),A=this.calculateLandmarksBoundingBox(r);return Ye(Je(A),Tn)}getBoxForHandLandmarks(e){let n=this.calculateLandmarksBoundingBox(e),r=Ye(Je(n),ht);r.palmLandmarks=[];for(let A=0;A<st.length;A++)r.palmLandmarks.push(e[st[A]].slice(0,2));return r}transformRawCoords(e,n,r,A){let c=Be(n),_=[c[0]/this.inputSize,c[1]/this.inputSize,(c[0]+c[1])/this.inputSize/2],h=e.map(x=>[_[0]*(x[0]-this.inputSize/2),_[1]*(x[1]-this.inputSize/2),_[2]*x[2]]),s=R1(r,[0,0]),o=h.map(x=>[...E1(x,s),x[2]]),i=ct(A),a=[...Re(n),1],d=[he(a,i[0]),he(a,i[1])];return o.map(x=>[x[0]+d[0],x[1]+d[1],x[2]])}async estimateHands(e,n){let r=!1,A;(this.skipped===0||this.skipped>n.hand.skipFrames||!n.hand.landmarks||!n.videoOptimized)&&(A=await this.handDetector.estimateHandBounds(e,n),this.skipped=0),n.videoOptimized&&this.skipped++,A&&A.length>0&&(A.length!==this.detectedHands&&this.detectedHands!==n.hand.maxHands||!n.hand.landmarks)&&(this.detectedHands=0,this.storedBoxes=[...A],this.storedBoxes.length>0&&(r=!0));let c=[];for(let _=0;_<this.storedBoxes.length;_++){let h=this.storedBoxes[_];if(!!h)if(n.hand.landmarks){let s=n.hand.rotation?nt(h.palmLandmarks[Pn],h.palmLandmarks[vn]):0,o=Re(h),i=[o[0]/e.shape[2],o[1]/e.shape[1]],a=n.hand.rotation?Ke.image.rotateWithOffset(e,s,0,i):e.clone(),d=R1(-s,o),x=r?this.getBoxForPalmLandmarks(h.palmLandmarks,d):h,u=G0(x,a,[this.inputSize,this.inputSize]),l=u.div(255);u.dispose(),a.dispose();let[k,j]=await this.landmarkDetector.predict(l);l.dispose();let X=k.dataSync()[0];if(k.dispose(),X>=n.hand.minConfidence){let D=Ke.reshape(j,[-1,3]),G=D.arraySync();j.dispose(),D.dispose();let f=this.transformRawCoords(G,x,s,d),p=this.getBoxForHandLandmarks(f);this.storedBoxes[_]=p;let w={landmarks:f,confidence:X,box:{topLeft:p.startPoint,bottomRight:p.endPoint}};c.push(w)}else this.storedBoxes[_]=null;j.dispose()}else{let s=Ye(Je(h),ht),o={confidence:h.confidence,box:{topLeft:s.startPoint,bottomRight:s.endPoint}};c.push(o)}}return this.storedBoxes=this.storedBoxes.filter(_=>_!==null),this.detectedHands=c.length,c}calculateLandmarksBoundingBox(e){let n=e.map(_=>_[0]),r=e.map(_=>_[1]),A=[Math.min(...n),Math.min(...r)],c=[Math.max(...n),Math.max(...r)];return{startPoint:A,endPoint:c}}};_t.HandPipeline=xt});var 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Promise.all([t.hand.enabled?M1.loadGraphModel(t.hand.detector.modelPath,{fromTFHub:t.hand.detector.modelPath.includes("tfhub.dev")}):null,t.hand.landmarks?M1.loadGraphModel(t.hand.skeleton.modelPath,{fromTFHub:t.hand.skeleton.modelPath.includes("tfhub.dev")}):null]),r=new at.HandDetector(e,t.hand.inputSize,dt.anchors),A=new wt.HandPipeline(r,n,t.hand.inputSize),c=new N1(A);return t.hand.enabled&&b(`load model: ${t.hand.detector.modelPath.match(/\/(.*)\./)[1]}`),t.hand.landmarks&&b(`load model: ${t.hand.skeleton.modelPath.match(/\/(.*)\./)[1]}`),c}z1.load=Rn});var ft=v(Ee=>{Ee.body=t=>{if(!t)return[];let e=[];for(let n=0;n<t.length;n++){let r=t[n].keypoints.find(s=>s.part==="leftWrist"),A=t[n].keypoints.find(s=>s.part==="rightWrist"),c=t[n].keypoints.find(s=>s.part==="nose");c&&r&&A&&r.position.y<c.position.y&&A.position.y<c.position.y?e.push({body:n,gesture:"i give up"}):c&&r&&r.position.y<c.position.y?e.push({body:n,gesture:"raise left hand"}):c&&A&&A.position.y<c.position.y&&e.push({body:n,gesture:"raise right hand"});let _=t[n].keypoints.find(s=>s.part==="leftShoulder"),h=t[n].keypoints.find(s=>s.part==="rightShoulder");_&&h&&e.push({body:n,gesture:`leaning ${_.position.y>h.position.y?"left":"right"}`})}return e};Ee.face=t=>{if(!t)return[];let e=[];for(let n=0;n<t.length;n++)if(t[n].mesh&&t[n].mesh.length>0){let r=t[n].mesh[35][2]-t[n].mesh[263][2];Math.abs(r)<10?e.push({face:n,gesture:"facing camera"}):e.push({face:n,gesture:`facing ${r<0?"right":"left"}`}),Math.abs(t[n].mesh[374][1]-t[n].mesh[386][1])/Math.abs(t[n].mesh[443][1]-t[n].mesh[450][1])<.2&&e.push({face:n,gesture:"blink left eye"}),Math.abs(t[n].mesh[145][1]-t[n].mesh[159][1])/Math.abs(t[n].mesh[223][1]-t[n].mesh[230][1])<.2&&e.push({face:n,gesture:"blink right eye"});let _=Math.min(100,500*Math.abs(t[n].mesh[13][1]-t[n].mesh[14][1])/Math.abs(t[n].mesh[10][1]-t[n].mesh[152][1]));_>10&&e.push({face:n,gesture:`mouth ${Math.trunc(_)}% open`});let 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2Q==`;var Pt="0.11.4";var R=()=>typeof performance!="undefined"?performance.now():parseInt(Number(process.hrtime.bigint())/1e3/1e3);function ge(...t){let e=n=>n&&typeof n=="object";return t.reduce((n,r)=>(Object.keys(r||{}).forEach(A=>{let c=n[A],_=r[A];Array.isArray(c)&&Array.isArray(_)?n[A]=c.concat(..._):e(c)&&e(_)?n[A]=ge(c,_):n[A]=_}),n),{})}var Et=class{constructor(e={}){this.tf=z,this.version=Pt,this.config=ge(Tt,e),this.fx=null,this.state="idle",this.numTensors=0,this.analyzeMemoryLeaks=!1,this.checkSanity=!1,this.firstRun=!0,this.perf={},this.models={facemesh:null,posenet:null,handpose:null,iris:null,age:null,gender:null,emotion:null},this.facemesh=vt,this.age=ze,this.gender=Me,this.emotion=je,this.body=S1,this.hand=W1}profile(){return this.config.profile?Rt.data:{}}analyze(...e){if(!this.analyzeMemoryLeaks)return;let n=z.engine().state.numTensors,r=this.numTensors;this.numTensors=n;let A=n-r;A!==0&&b(...e,A)}sanity(e){if(!this.checkSanity)return null;if(!e)return"input is not defined";if(z.ENV.flags.IS_NODE&&!(e instanceof z.Tensor))return"input must be a tensor";try{z.getBackend()}catch(n){return"backend not loaded"}return null}simmilarity(e,n){return this.config.face.embedding.enabled?se.simmilarity(e,n):0}async load(e){this.state="load";let n=R();e&&(this.config=ge(this.config,e)),this.firstRun&&(b(`version: ${this.version} TensorFlow/JS version: ${z.version_core}`),await this.checkBackend(!0),z.ENV.flags.IS_BROWSER&&(b("configuration:",this.config),b("tf flags:",z.ENV.flags)));let r=this.config.face.detector.modelPath.includes("faceboxes")?jn:vt;this.config.async?[this.models.face,this.models.age,this.models.gender,this.models.emotion,this.models.embedding,this.models.posenet,this.models.handpose]=await Promise.all([this.models.face||(this.config.face.enabled?r.load(this.config):null),this.models.age||(this.config.face.enabled&&this.config.face.age.enabled?ze.load(this.config):null),this.models.gender||(this.config.face.enabled&&this.config.face.gender.enabled?Me.load(this.config):null),this.models.emotion||(this.config.face.enabled&&this.config.face.emotion.enabled?je.load(this.config):null),this.models.embedding||(this.config.face.enabled&&this.config.face.embedding.enabled?se.load(this.config):null),this.models.posenet||(this.config.body.enabled?S1.load(this.config):null),this.models.handpose||(this.config.hand.enabled?W1.load(this.config):null)]):(this.config.face.enabled&&!this.models.face&&(this.models.face=await r.load(this.config)),this.config.face.enabled&&this.config.face.age.enabled&&!this.models.age&&(this.models.age=await ze.load(this.config)),this.config.face.enabled&&this.config.face.gender.enabled&&!this.models.gender&&(this.models.gender=await Me.load(this.config)),this.config.face.enabled&&this.config.face.emotion.enabled&&!this.models.emotion&&(this.models.emotion=await je.load(this.config)),this.config.face.enabled&&this.config.face.embedding.enabled&&!this.models.embedding&&(this.models.embedding=await se.load(this.config)),this.config.body.enabled&&!this.models.posenet&&(this.models.posenet=await S1.load(this.config)),this.config.hand.enabled&&!this.models.handpose&&(this.models.handpose=await W1.load(this.config))),this.firstRun&&(b("tf engine state:",z.engine().state.numBytes,"bytes",z.engine().state.numTensors,"tensors"),this.firstRun=!1);let A=Math.trunc(R()-n);A>(this.perf.load||0)&&(this.perf.load=A)}async checkBackend(e){if(this.config.backend&&this.config.backend!==""&&e||z.getBackend()!==this.config.backend){let n=R();this.state="backend",b("setting backend:",this.config.backend),this.config.backend==="wasm"&&(b("settings wasm path:",this.config.wasmPath),z.setWasmPaths(this.config.wasmPath),await z.env().getAsync("WASM_HAS_SIMD_SUPPORT")||b("warning: wasm simd support is not enabled")),this.config.backend==="humangl"&&L1();try{await z.setBackend(this.config.backend)}catch(r){b("error: cannot set backend:",this.config.backend,r)}if(z.enableProdMode(),z.getBackend()==="webgl"){this.config.deallocate&&(b("changing webgl: WEBGL_DELETE_TEXTURE_THRESHOLD:",this.config.deallocate),z.ENV.set("WEBGL_DELETE_TEXTURE_THRESHOLD",this.config.deallocate?0:-1)),z.ENV.set("WEBGL_FORCE_F16_TEXTURES",!0),z.ENV.set("WEBGL_PACK_DEPTHWISECONV",!0);let r=await z.backend().getGPGPUContext().gl;b(`gl version:${r.getParameter(r.VERSION)} renderer:${r.getParameter(r.RENDERER)}`)}await z.ready(),this.perf.backend=Math.trunc(R()-n)}}async detectFace(e){var o,i,a,d,x,u;let n,r,A,c,_,h=[];this.state="run:face",n=R();let s=await((o=this.models.face)==null?void 0:o.estimateFaces(e,this.config));this.perf.face=Math.trunc(R()-n);for(let l of s){if(this.analyze("Get Face"),!l.image||l.image.isDisposedInternal){b("Face object is disposed:",l.image);continue}this.analyze("Start Age:"),this.config.async?r=this.config.face.age.enabled?ze.predict(l.image,this.config):{}:(this.state="run:age",n=R(),r=this.config.face.age.enabled?await ze.predict(l.image,this.config):{},this.perf.age=Math.trunc(R()-n)),this.analyze("Start Gender:"),this.config.async?A=this.config.face.gender.enabled?Me.predict(l.image,this.config):{}:(this.state="run:gender",n=R(),A=this.config.face.gender.enabled?await Me.predict(l.image,this.config):{},this.perf.gender=Math.trunc(R()-n)),this.analyze("Start Emotion:"),this.config.async?c=this.config.face.emotion.enabled?je.predict(l.image,this.config):{}:(this.state="run:emotion",n=R(),c=this.config.face.emotion.enabled?await je.predict(l.image,this.config):{},this.perf.emotion=Math.trunc(R()-n)),this.analyze("End Emotion:"),this.analyze("Start Embedding:"),this.config.async?_=this.config.face.embedding.enabled?se.predict(l.image,this.config):{}:(this.state="run:embedding",n=R(),_=this.config.face.embedding.enabled?await se.predict(l.image,this.config):{},this.perf.embedding=Math.trunc(R()-n)),this.analyze("End Emotion:"),this.config.async&&([r,A,c,_]=await Promise.all([r,A,c,_])),this.analyze("Finish Face:"),!this.config.face.iris.enabled&&((i=l==null?void 0:l.annotations)==null?void 0:i.leftEyeIris)&&((a=l==null?void 0:l.annotations)==null?void 0:a.rightEyeIris)&&(delete l.annotations.leftEyeIris,delete l.annotations.rightEyeIris);let k=((d=l.annotations)==null?void 0:d.leftEyeIris)&&((x=l.annotations)==null?void 0:x.rightEyeIris)?11.7*Math.max(Math.abs(l.annotations.leftEyeIris[3][0]-l.annotations.leftEyeIris[1][0]),Math.abs(l.annotations.rightEyeIris[4][1]-l.annotations.rightEyeIris[2][1])):0;h.push({confidence:l.confidence,box:l.box,mesh:l.mesh,boxRaw:l.boxRaw,meshRaw:l.meshRaw,annotations:l.annotations,age:r.age,gender:A.gender,genderConfidence:A.confidence,emotion:c,embedding:_,iris:k!==0?Math.trunc(k)/100:0,image:l.image.toInt().squeeze()}),(u=l.image)==null||u.dispose(),this.analyze("End Face")}return this.analyze("End FaceMesh:"),this.config.async&&(this.perf.face&&delete this.perf.face,this.perf.age&&delete this.perf.age,this.perf.gender&&delete this.perf.gender,this.perf.emotion&&delete this.perf.emotion),h}async image(e,n={}){this.state="image",this.config=ge(this.config,n);let r=O1.process(e,this.config);return r.tensor.dispose(),r.canvas}async detect(e,n={}){return new Promise(async r=>{var d,x,u,l;this.state="config";let A;this.config=ge(this.config,n),this.state="check";let c=this.sanity(e);c&&(b(c,e),r({error:c}));let _,h,s,o=R();await this.checkBackend(),await this.load(),this.config.scoped&&z.engine().startScope(),this.analyze("Start Scope:"),A=R();let i=O1.process(e,this.config);if(!i||!i.tensor){b("could not convert input to tensor"),r({error:"could not convert input to tensor"});return}this.perf.image=Math.trunc(R()-A),this.analyze("Get Image:"),this.config.async?(s=this.config.face.enabled?this.detectFace(i.tensor):[],this.perf.face&&delete this.perf.face):(this.state="run:face",A=R(),s=this.config.face.enabled?await this.detectFace(i.tensor):[],this.perf.face=Math.trunc(R()-A)),this.analyze("Start Body:"),this.config.async?(_=this.config.body.enabled?(d=this.models.posenet)==null?void 0:d.estimatePoses(i.tensor,this.config):[],this.perf.body&&delete this.perf.body):(this.state="run:body",A=R(),_=this.config.body.enabled?await((x=this.models.posenet)==null?void 0:x.estimatePoses(i.tensor,this.config)):[],this.perf.body=Math.trunc(R()-A)),this.analyze("End Body:"),this.analyze("Start Hand:"),this.config.async?(h=this.config.hand.enabled?(u=this.models.handpose)==null?void 0:u.estimateHands(i.tensor,this.config):[],this.perf.hand&&delete this.perf.hand):(this.state="run:hand",A=R(),h=this.config.hand.enabled?await((l=this.models.handpose)==null?void 0:l.estimateHands(i.tensor,this.config)):[],this.perf.hand=Math.trunc(R()-A)),this.analyze("End Hand:"),this.config.async&&([s,_,h]=await Promise.all([s,_,h])),i.tensor.dispose(),this.config.scoped&&z.engine().endScope(),this.analyze("End Scope:");let a=[];this.config.gesture.enabled&&(A=R(),a=[...xe.face(s),...xe.body(_),...xe.hand(h),...xe.iris(s)],this.config.async?this.perf.gesture&&delete this.perf.gesture:this.perf.gesture=Math.trunc(R()-A)),this.perf.total=Math.trunc(R()-o),this.state="idle",r({face:s,body:_,hand:h,gesture:a,performance:this.perf,canvas:i.canvas})})}async warmupBitmap(){let e=(A,c="application/octet-stream")=>fetch(`data:${c};base64,${A}`).then(_=>_.blob()),n,r;switch(this.config.warmup){case"face":n=await e(Ue);break;case"full":n=await e(Ce);break;default:n=null}if(n){let A=await createImageBitmap(n);r=await this.detect(A,this.config),A.close()}return r}async warmupCanvas(){return new Promise(e=>{let n,r=0;switch(this.config.warmup){case"face":r=256,n="data:image/jpeg;base64,"+Ue;break;case"full":r=1200,n="data:image/jpeg;base64,"+Ce;break;default:n=null}let A=new Image(r,r);A.onload=()=>{let c=typeof OffscreenCanvas!="undefined"?new OffscreenCanvas(r,r):document.createElement("canvas");c.width=r,c.height=r;let _=c.getContext("2d");_.drawImage(A,0,0);let h=_.getImageData(0,0,r,r);this.detect(h,this.config).then(s=>e(s))},n?A.src=n:e(null)})}async warmupNode(){let e=_=>Buffer.from(_,"base64"),n=this.config.warmup==="face"?e(Ue):e(Ce),r=z.node.decodeJpeg(n),A=r.expandDims(0);z.dispose(r);let c=await this.detect(A,this.config);return z.dispose(A),c}async warmup(e){let n=R();e&&(this.config=ge(this.config,e));let r=this.config.videoOptimized;this.config.videoOptimized=!1;let A;typeof createImageBitmap=="function"?A=await this.warmupBitmap():typeof Image!="undefined"?A=await this.warmupCanvas():A=await this.warmupNode(),this.config.videoOptimized=r;let c=R();return b("Warmup",this.config.warmup,Math.round(c-n),"ms",A),A}};export{Et as default};
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