var a1=Object.defineProperty,q0=e=>a1(e,"__esModule",{value:!0}),g=(e,t)=>()=>(t||(t={exports:{}},e(t.exports,t)),t.exports),ye=(e,t)=>{q0(e);for(var n in t)a1(e,n,{get:t[n],enumerable:!0})},m1=g(we=>{const b=require("@tensorflow/tfjs"),l1=6;function W0(e){const t={strides:[e/16,e/8],anchors:[2,6]},n=[];for(let r=0;r<t.strides.length;r++){const c=t.strides[r],_=Math.floor((e+c-1)/c),o=Math.floor((e+c-1)/c),h=t.anchors[r];for(let s=0;s<_;s++){const x=c*(s+.5);for(let w=0;w<o;w++){const l=c*(w+.5);for(let y=0;y<h;y++)n.push([l,x])}}}return n}const d1=e=>{e.startEndTensor.dispose(),e.startPoint.dispose(),e.endPoint.dispose()},u1=e=>({startEndTensor:e,startPoint:b.slice(e,[0,0],[-1,2]),endPoint:b.slice(e,[0,2],[-1,2])}),f1=(e,t)=>{const n=b.mul(e.startPoint,t),r=b.mul(e.endPoint,t),c=b.concat2d([n,r],1);return u1(c)};function G0(e,t,n){const r=b.slice(e,[0,1],[-1,2]),c=b.add(r,t),_=b.slice(e,[0,3],[-1,2]),o=b.div(_,n),h=b.div(c,n),s=b.div(o,2),x=b.sub(h,s),w=b.add(h,s),l=b.mul(x,n),y=b.mul(w,n),i=1;return b.concat2d([l,y],i)}function X0(e,t){return b.tidy(()=>{const n=e.box?e.box:e;return f1(n,t).startEndTensor.squeeze()})}class p1{constructor(e,t){this.blazeFaceModel=e,this.width=t.detector.inputSize,this.height=t.detector.inputSize,this.anchorsData=W0(t.detector.inputSize),this.anchors=b.tensor2d(this.anchorsData),this.inputSize=b.tensor1d([this.width,this.height]),this.config=t,this.scaleFaces=.8}async getBoundingBoxes(e){if(!e||e.isDisposedInternal||e.shape.length!==4||e.shape[1]<1||e.shape[2]<1)return null;const[t,n,r]=b.tidy(()=>{const x=e.resizeBilinear([this.width,this.height]),w=b.sub(x.div(127.5),1),l=this.blazeFaceModel.predict(w);let y;if(Array.isArray(l)){const E=l.sort((L,d)=>L.size-d.size),v=b.concat([E[0],E[2]],2),I=b.concat([E[1],E[3]],2),F=b.concat([I,v],1);y=F.squeeze(0)}else y=l.squeeze();const i=G0(y,this.anchors,this.inputSize),f=b.slice(y,[0,0],[-1,1]),m=f.squeeze();return[y,i,m]}),c=await b.image.nonMaxSuppressionAsync(n,r,this.config.detector.maxFaces,this.config.detector.iouThreshold,this.config.detector.scoreThreshold),_=c.arraySync();c.dispose();const o=_.map(x=>b.slice(n,[x,0],[1,-1])),h=o.map(x=>{const w=x.arraySync();return x.dispose(),w}),s=[];for(let x=0;x<h.length;x++){const w=h[x],l=u1(w),y=_[x],i=this.anchorsData[y],f=b.slice(t,[y,l1-1],[1,-1]),m=f.squeeze(),E=m.reshape([l1,-1]),v=b.slice(r,[y],[1]),I={box:l,landmarks:E,probability:v,anchor:i};s.push(I),f.dispose(),m.dispose()}return t.dispose(),n.dispose(),r.dispose(),t.dispose(),{boxes:s,scaleFactor:[e.shape[2]/this.width,e.shape[1]/this.height]}}async estimateFaces(e){const{boxes:t,scaleFactor:n}=await this.getBoundingBoxes(e),r=[];for(const c of t){const _=c.landmarks.arraySync(),o=X0(c,n),h=f1.arraySync(),s=c.probability.arraySync(),x=c.anchor,[w,l]=n,y=_.map(f=>[(f[0]+x[0])*w,(f[1]+x[1])*l]),i={topLeft:h.slice(0,2),bottomRight:h.slice(2),landmarks:y,probability:s};d1(c.box),c.landmarks.dispose(),c.probability.dispose(),o.dispose(),r.push(i)}return r}}async function Y0(e){const t=await b.loadGraphModel(e.detector.modelPath,{fromTFHub:e.detector.modelPath.includes("tfhub.dev")}),n=new p1(t,e);return console.log(`Human: load model: ${e.detector.modelPath.match(/\/(.*)\./)[1]}`),n}we.load=Y0;we.BlazeFaceModel=p1;we.disposeBox=d1}),Ee=g(be=>{be.MESH_ANNOTATIONS={silhouette:[10,338,297,332,284,251,389,356,454,323,361,288,397,365,379,378,400,377,152,148,176,149,150,136,172,58,132,93,234,127,162,21,54,103,67,109],lipsUpperOuter:[61,185,40,39,37,0,267,269,270,409,291],lipsLowerOuter:[146,91,181,84,17,314,405,321,375,291],lipsUpperInner:[78,191,80,81,82,13,312,311,310,415,308],lipsLowerInner:[78,95,88,178,87,14,317,402,318,324,308],rightEyeUpper0:[246,161,160,159,158,157,173],rightEyeLower0:[33,7,163,144,145,153,154,155,133],rightEyeUpper1:[247,30,29,27,28,56,190],rightEyeLower1:[130,25,110,24,23,22,26,112,243],rightEyeUpper2:[113,225,224,223,222,221,189],rightEyeLower2:[226,31,228,229,230,231,232,233,244],rightEyeLower3:[143,111,117,118,119,120,121,128,245],rightEyebrowUpper:[156,70,63,105,66,107,55,193],rightEyebrowLower:[35,124,46,53,52,65],rightEyeIris:[473,474,475,476,477],leftEyeUpper0:[466,388,387,386,385,384,398],leftEyeLower0:[263,249,390,373,374,380,381,382,362],leftEyeUpper1:[467,260,259,257,258,286,414],leftEyeLower1:[359,255,339,254,253,252,256,341,463],leftEyeUpper2:[342,445,444,443,442,441,413],leftEyeLower2:[446,261,448,449,450,451,452,453,464],leftEyeLower3:[372,340,346,347,348,349,350,357,465],leftEyebrowUpper:[383,300,293,334,296,336,285,417],leftEyebrowLower:[265,353,276,283,282,295],leftEyeIris:[468,469,470,471,472],midwayBetweenEyes:[168],noseTip:[1],noseBottom:[2],noseRightCorner:[98],noseLeftCorner:[327],rightCheek:[205],leftCheek:[425]};be.MESH_TO_IRIS_INDICES_MAP=[{key:"EyeUpper0",indices:[9,10,11,12,13,14,15]},{key:"EyeUpper1",indices:[25,26,27,28,29,30,31]},{key:"EyeUpper2",indices:[41,42,43,44,45,46,47]},{key:"EyeLower0",indices:[0,1,2,3,4,5,6,7,8]},{key:"EyeLower1",indices:[16,17,18,19,20,21,22,23,24]},{key:"EyeLower2",indices:[32,33,34,35,36,37,38,39,40]},{key:"EyeLower3",indices:[54,55,56,57,58,59,60,61,62]},{key:"EyebrowUpper",indices:[63,64,65,66,67,68,69,70]},{key:"EyebrowLower",indices:[48,49,50,51,52,53]}]}),g1=g(V=>{const V0=require("@tensorflow/tfjs");function K0(e,t){const n=[e.startPoint[0]*t[0],e.startPoint[1]*t[1]],r=[e.endPoint[0]*t[0],e.endPoint[1]*t[1]];return{startPoint:n,endPoint:r}}V.scaleBoxCoordinates=K0;function ve(e){return[Math.abs(e.endPoint[0]-e.startPoint[0]),Math.abs(e.endPoint[1]-e.startPoint[1])]}V.getBoxSize=ve;function Pe(e){return[e.startPoint[0]+(e.endPoint[0]-e.startPoint[0])/2,e.startPoint[1]+(e.endPoint[1]-e.startPoint[1])/2]}V.getBoxCenter=Pe;function $0(e,t,n){const r=t.shape[1],c=t.shape[2],_=[[e.startPoint[1]/r,e.startPoint[0]/c,e.endPoint[1]/r,e.endPoint[0]/c]];return V0.image.cropAndResize(t,_,[0],n)}V.cutBoxFromImageAndResize=$0;function Q0(e,t=1.5){const n=Pe(e),r=ve(e),c=[t*r[0]/2,t*r[1]/2],_=[n[0]-c[0],n[1]-c[1]],o=[n[0]+c[0],n[1]+c[1]];return{startPoint:_,endPoint:o,landmarks:e.landmarks}}V.enlargeBox=Q0;function Z0(e){const t=Pe(e),n=ve(e),r=Math.max(...n),c=r/2,_=[t[0]-c,t[1]-c],o=[t[0]+c,t[1]+c];return{startPoint:_,endPoint:o,landmarks:e.landmarks}}V.squarifyBox=Z0}),S1=g(D=>{D.IDENTITY_MATRIX=[[1,0,0],[0,1,0],[0,0,1]];function b1(e){return e-2*Math.PI*Math.floor((e+Math.PI)/(2*Math.PI))}D.normalizeRadians=b1;function J0(e,t){const n=Math.PI/2-Math.atan2(-(t[1]-e[1]),t[0]-e[0]);return b1(n)}D.computeRotation=J0;function et(e){return e*180/Math.PI}D.radToDegrees=et;function E1(e,t){return[[1,0,e],[0,1,t],[0,0,1]]}function K(e,t){let n=0;for(let r=0;r<e.length;r++)n+=e[r]*t[r];return n}D.dot=K;function v1(e,t){const n=[];for(let r=0;r<e.length;r++)n.push(e[r][t]);return n}D.getColumnFrom2DArr=v1;function P1(e,t){const n=[],r=e.length;for(let c=0;c<r;c++){n.push([]);for(let _=0;_<r;_++)n[c].push(K(e[c],v1(t,_)))}return n}function tt(e,t){const n=Math.cos(e),r=Math.sin(e),c=[[n,-r,0],[r,n,0],[0,0,1]],_=E1(t[0],t[1]),o=P1(_,c),h=E1(-t[0],-t[1]);return P1(o,h)}D.buildRotationMatrix=tt;function nt(e){const t=[[e[0][0],e[1][0]],[e[0][1],e[1][1]]],n=[e[0][2],e[1][2]],r=[-K(t[0],n),-K(t[1],n)];return[t[0].concat(r[0]),t[1].concat(r[1]),[0,0,1]]}D.invertTransformMatrix=nt;function rt(e,t){return[K(e,t[0]),K(e,t[1])]}D.rotatePoint=rt;function ct(e,t){return Math.sqrt((e[0]-t[0])**2+(e[1]-t[1])**2)}D.xyDistanceBetweenPoints=ct}),I1=g(T1=>{const j=require("@tensorflow/tfjs"),O=g1(),q=Ee(),W=S1(),_t=468,ht=.25,ot=13,st=[ot,q.MESH_ANNOTATIONS.midwayBetweenEyes[0]],it=3,xt=2,yt=[it,xt],Se=q.MESH_ANNOTATIONS.leftEyeLower0,Te=[Se[0],Se[Se.length-1]],Ie=q.MESH_ANNOTATIONS.rightEyeLower0,Me=[Ie[0],Ie[Ie.length-1]],wt=3,at=4,lt=71,Re=76;function ae(e,t,n,r){for(let c=0;c<q.MESH_TO_IRIS_INDICES_MAP.length;c++){const{key:_,indices:o}=q.MESH_TO_IRIS_INDICES_MAP[c],h=q.MESH_ANNOTATIONS[`${n}${_}`],s=r==null;if(s||r.includes(_))for(let x=0;x<o.length;x++){const w=o[x];e[h[x]]=[t[w][0],t[w][1],(t[w][2]+e[h[x]][2])/2]}}}class dt{constructor(e,t,n,r){this.regionsOfInterest=[],this.runsWithoutFaceDetector=0,this.boundingBoxDetector=e,this.meshDetector=t,this.irisModel=n,this.meshWidth=r.mesh.inputSize,this.meshHeight=r.mesh.inputSize,this.irisSize=r.iris.inputSize,this.irisEnlarge=r.iris.enlargeFactor}transformRawCoords(e,t,n,r){const c=O.getBoxSize({startPoint:t.startPoint,endPoint:t.endPoint}),_=[c[0]/this.meshWidth,c[1]/this.meshHeight],o=e.map(y=>[_[0]*(y[0]-this.meshWidth/2),_[1]*(y[1]-this.meshHeight/2),y[2]]),h=W.buildRotationMatrix(n,[0,0]),s=o.map(y=>[...W.rotatePoint(y,h),y[2]]),x=W.invertTransformMatrix(r),w=[...O.getBoxCenter({startPoint:t.startPoint,endPoint:t.endPoint}),1],l=[W.dot(w,x[0]),W.dot(w,x[1])];return s.map(y=>[y[0]+l[0],y[1]+l[1],y[2]])}getLeftToRightEyeDepthDifference(e){const t=e[Te[0]][2],n=e[Me[0]][2];return t-n}getEyeBox(e,t,n,r,c=!1){const _=O.squarifyBox(O.enlargeBox(this.calculateLandmarksBoundingBox([e[n],e[r]]),this.irisEnlarge)),o=O.getBoxSize(_);let h=j.image.cropAndResize(t,[[_.startPoint[1]/this.meshHeight,_.startPoint[0]/this.meshWidth,_.endPoint[1]/this.meshHeight,_.endPoint[0]/this.meshWidth]],[0],[this.irisSize,this.irisSize]);return c&&(h=j.image.flipLeftRight(h)),{box:_,boxSize:o,crop:h}}getEyeCoords(e,t,n,r=!1){const c=[];for(let _=0;_<Re;_++){const o=e[_*3],h=e[_*3+1],s=e[_*3+2];c.push([(r?1-o/this.irisSize:o/this.irisSize)*n[0]+t.startPoint[0],h/this.irisSize*n[1]+t.startPoint[1],s])}return{rawCoords:c,iris:c.slice(lt)}}getAdjustedIrisCoords(e,t,n){const r=e[q.MESH_ANNOTATIONS[`${n}EyeUpper0`][wt]][2],c=e[q.MESH_ANNOTATIONS[`${n}EyeLower0`][at]][2],_=(r+c)/2;return t.map((o,h)=>{let s=_;return h===2?s=r:h===4&&(s=c),[o[0],o[1],s]})}async predict(e,t){this.runsWithoutFaceDetector+=1;let n=this.detectedFaces===0||this.detectedFaces!==this.regionsOfInterest.length,r;if((n||this.runsWithoutFaceDetector>t.detector.skipFrames)&&(r=await this.boundingBoxDetector.getBoundingBoxes(e)),t.detector.maxFaces>1&&r&&r.boxes&&r.boxes.length>0&&r.boxes.length!==this.detectedFaces&&(n=!0),n){if(!r||!r.boxes||r.boxes.length===0)return this.regionsOfInterest=[],this.detectedFaces=0,null;const _=r.boxes.map(o=>{const h=o.box.startPoint.squeeze(),s=o.box.endPoint.squeeze(),x={startPoint:h.arraySync(),endPoint:s.arraySync()};h.dispose(),s.dispose();const w=O.scaleBoxCoordinates(x,r.scaleFactor),l=O.enlargeBox(w),y=o.landmarks.arraySync();return{...l,landmarks:y}});this.updateRegionsOfInterest(_),this.runsWithoutFaceDetector=0}r&&r.boxes&&r.boxes.forEach(_=>{_.box.startPoint.dispose(),_.box.endPoint.dispose(),_.landmarks.dispose(),_.probability.dispose()});let c=j.tidy(()=>this.regionsOfInterest.map((_,o)=>{let h=0;const s=_.landmarks.length>=_t;let[x,w]=st;s===!1&&([x,w]=yt),h=W.computeRotation(_.landmarks[x],_.landmarks[w]);const l=O.getBoxCenter({startPoint:_.startPoint,endPoint:_.endPoint}),y=[l[0]/e.shape[2],l[1]/e.shape[1]];let i=e,f=W.IDENTITY_MATRIX;h!==0&&(i=j.image.rotateWithOffset(e,h,0,y),f=W.buildRotationMatrix(-h,l));const m={startPoint:_.startPoint,endPoint:_.endPoint},E=O.cutBoxFromImageAndResize(m,i,[this.meshHeight,this.meshWidth]).div(255),[,v,I]=this.meshDetector.predict(E),F=v.dataSync()[0];if(v.dispose(),F<t.detector.minConfidence)return I.dispose(),null;const L=j.reshape(I,[-1,3]);let d=L.arraySync();if(t.iris.enabled){const{box:P,boxSize:R,crop:z}=this.getEyeBox(d,E,Te[0],Te[1],!0),{box:D0,boxSize:N0,crop:C0}=this.getEyeBox(d,E,Me[0],Me[1]),s1=this.irisModel.predict(j.concat([z,C0])),i1=s1.dataSync();s1.dispose();const L0=i1.slice(0,Re*3),{rawCoords:x1,iris:z0}=this.getEyeCoords(L0,P,R,!0),O0=i1.slice(Re*3),{rawCoords:y1,iris:H0}=this.getEyeCoords(O0,D0,N0),w1=this.getLeftToRightEyeDepthDifference(d);Math.abs(w1)<30?(ae(d,x1,"left"),ae(d,y1,"right")):w1<1?ae(d,x1,"left",["EyeUpper0","EyeLower0"]):ae(d,y1,"right",["EyeUpper0","EyeLower0"]);const U0=this.getAdjustedIrisCoords(d,z0,"left"),j0=this.getAdjustedIrisCoords(d,H0,"right");d=d.concat(U0).concat(j0)}const u=this.transformRawCoords(d,_,h,f);j.dispose(d);const a=O.enlargeBox(this.calculateLandmarksBoundingBox(u)),p={coords:null,box:a,confidence:F,image:E};if(t.mesh.enabled){const P=j.tensor2d(u);this.regionsOfInterest[o]={...a,landmarks:P.arraySync()},p.coords=P}return p}));return c=c.filter(_=>_!==null),this.detectedFaces=c.length,c}updateRegionsOfInterest(e){for(let t=0;t<e.length;t++){const n=e[t],r=this.regionsOfInterest[t];let c=0;if(r&&r.startPoint){const[_,o]=n.startPoint,[h,s]=n.endPoint,[x,w]=r.startPoint,[l,y]=r.endPoint,i=Math.max(_,x),f=Math.max(o,w),m=Math.min(h,l),E=Math.min(s,y),v=(m-i)*(E-f),I=(h-_)*(s-o),F=(l-x)*(y-o);c=v/(I+F-v)}c<ht&&(this.regionsOfInterest[t]=n)}this.regionsOfInterest=this.regionsOfInterest.slice(0,e.length)}clearRegionOfInterest(e){this.regionsOfInterest[e]!=null&&(this.regionsOfInterest=[...this.regionsOfInterest.slice(0,e),...this.regionsOfInterest.slice(e+1)])}calculateLandmarksBoundingBox(e){const 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ke=require("@tensorflow/tfjs"),pt=m1(),A1=Ee(),mt=I1(),gt=R1(),bt=k1().default;class B1{constructor(e,t,n,r){this.pipeline=new mt.Pipeline(e,t,n,r),r&&(this.config=r)}async estimateFaces(e,t){t&&(this.config=t);const n=await this.pipeline.predict(e,t),r=[];for(const c of n||[]){if(c.isDisposedInternal)continue;const _=c.coords?c.coords.arraySync():null,o={};if(_&&_.length>0)for(const h in A1.MESH_ANNOTATIONS)(this.config.iris.enabled||h.includes("Iris")===!1)&&(o[h]=A1.MESH_ANNOTATIONS[h].map(s=>_[s]));r.push({confidence:c.confidence||0,box:c.box?[c.box.startPoint[0],c.box.startPoint[1],c.box.endPoint[0]-c.box.startPoint[0],c.box.endPoint[1]-c.box.startPoint[1]]:0,mesh:_,annotations:o,image:c.image?ke.clone(c.image):null}),c.coords&&c.coords.dispose(),c.image&&c.image.dispose()}return r}}async function Et(e){const t=await Promise.all([pt.load(e),ke.loadGraphModel(e.mesh.modelPath,{fromTFHub:e.mesh.modelPath.includes("tfhub.dev")}),ke.loadGraphModel(e.iris.modelPath,{fromTFHub:e.iris.modelPath.includes("tfhub.dev")})]),n=new B1(t[0],t[1],t[2],e);return console.log(`Human: load model: ${e.mesh.modelPath.match(/\/(.*)\./)[1]}`),console.log(`Human: load model: ${e.iris.modelPath.match(/\/(.*)\./)[1]}`),n}J.load=Et;J.MediaPipeFaceMesh=B1;J.uv_coords=gt;J.triangulation=bt}),ee=g(Ae=>{const D1={};function vt(e,t){if(!t||!t.kernels)return;const n=5,r=t.kernels.filter(h=>h.kernelTimeMs>0).reduce((h,s)=>h+=s.kernelTimeMs,0),c=t.kernels.map((h,s)=>(h.id=s,h)).filter(h=>h.kernelTimeMs>0).sort((h,s)=>s.kernelTimeMs-h.kernelTimeMs),_=t.kernels.map((h,s)=>(h.id=s,h)).filter(h=>h.totalBytesSnapshot>0).sort((h,s)=>s.totalBytesSnapshot-h.totalBytesSnapshot);c.length>n&&(c.length=n),_.length>n&&(_.length=n);const 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te.profile(()=>ne.age.predict(_)):{};o=s.result.clone(),s.result.dispose(),Pt.run("age",s)}if(_.dispose(),o){const s=o.dataSync();h.age=Math.trunc(10*s[0])/10}o.dispose(),le=h,n(h)}))}Be.predict=Tt;Be.load=St}),C1=g(De=>{const N=require("@tensorflow/tfjs"),It=ee(),$={};let Ne={gender:""},Ce=Number.MAX_SAFE_INTEGER,Le=!1;const ue=[0,0],ze=[.2989,.587,.114];async function Mt(e){return $.gender||($.gender=await N.loadGraphModel(e.face.gender.modelPath),Le=$.gender.inputs[0].shape[3]===1,console.log(`Human: load model: ${e.face.gender.modelPath.match(/\/(.*)\./)[1]}`)),$.gender}async function Rt(e,t){return Ce<t.face.gender.skipFrames&&Ne.gender!==""?(Ce+=1,Ne):(Ce=0,new Promise(async n=>{const r=[[e.shape[1]*ue[0]/e.shape[1],e.shape[2]*ue[1]/e.shape[2],(e.shape[1]-e.shape[1]*ue[0])/e.shape[1],(e.shape[2]-e.shape[2]*ue[1])/e.shape[2]]],c=N.image.cropAndResize(e,r,[0],[t.face.gender.inputSize,t.face.gender.inputSize]);let 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S.image.nonMaxSuppressionAsync(o,c,t.maxHands,t.iouThreshold,t.scoreThreshold),s=h.arraySync(),x=[n,h,r,o,_,c],w=[];for(const l of s){const y=S.slice(o,[l,0],[1,-1]),i=S.slice(r,[l,5],[1,14]),f=S.tidy(()=>this.normalizeLandmarks(i,l).reshape([-1,2]));i.dispose(),w.push({box:y,palmLandmarks:f})}return x.forEach(l=>l.dispose()),w}async estimateHandBounds(e,t){const n=e.shape[1],r=e.shape[2],c=S.tidy(()=>e.resizeBilinear([t.inputSize,t.inputSize]).div(127.5).sub(1)),_=await this.getBoxes(c,t);if(c.dispose(),!_||_.length===0)return null;const o=[];for(const h of _){const s=h.box.dataSync(),x=s.slice(0,2),w=s.slice(2,4),l=h.palmLandmarks.arraySync();h.box.dispose(),h.palmLandmarks.dispose(),o.push(Pn.scaleBoxCoordinates({startPoint:x,endPoint:w,palmLandmarks:l},[r/t.inputSize,n/t.inputSize]))}return 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kn(e,t){return[Z(e,t[0]),Z(e,t[1])]}}),g0=g(f0=>{const p0=require("@tensorflow/tfjs"),U=t1(),Y=u0(),An=.8,Bn=[0,-.4],Fn=3,Dn=[0,-.1],Nn=1.65,m0=[0,5,9,13,17,1,2],Cn=0,Ln=2;class zn{constructor(e,t,n){this.boxDetector=e,this.meshDetector=t,this.inputSize=n,this.storedBoxes=[],this.skipped=0,this.detectedHands=0}getBoxForPalmLandmarks(e,t){const n=e.map(c=>{const _=[...c,1];return Y.rotatePoint(_,t)}),r=this.calculateLandmarksBoundingBox(n);return U.enlargeBox(U.squarifyBox(U.shiftBox(r,Bn)),Fn)}getBoxForHandLandmarks(e){const t=this.calculateLandmarksBoundingBox(e),n=U.enlargeBox(U.squarifyBox(U.shiftBox(t,Dn)),Nn),r=[];for(let c=0;c<m0.length;c++)r.push(e[m0[c]].slice(0,2));return n.palmLandmarks=r,n}transformRawCoords(e,t,n,r){const c=U.getBoxSize(t),_=[c[0]/this.inputSize,c[1]/this.inputSize],o=e.map(y=>[_[0]*(y[0]-this.inputSize/2),_[1]*(y[1]-this.inputSize/2),y[2]]),h=Y.buildRotationMatrix(n,[0,0]),s=o.map(y=>{const i=Y.rotatePoint(y,h);return[...i,y[2]]}),x=Y.invertTransformMatrix(r),w=[...U.getBoxCenter(t),1],l=[Y.dot(w,x[0]),Y.dot(w,x[1])];return s.map(y=>[y[0]+l[0],y[1]+l[1],y[2]])}async estimateHands(e,t){this.skipped++;let n=!1;const r=this.skipped>t.skipFrames?await this.boxDetector.estimateHandBounds(e,t):null;if(r&&r.length!==this.detectedHands&&this.detectedHands!==t.maxHands){this.storedBoxes=[],this.detectedHands=0;for(const _ of r)this.storedBoxes.push(_);this.storedBoxes.length>0&&(n=!0),this.skipped=0}const c=[];for(const _ in this.storedBoxes){const o=this.storedBoxes[_];if(!o)continue;const h=Y.computeRotation(o.palmLandmarks[Cn],o.palmLandmarks[Ln]),s=U.getBoxCenter(o),x=[s[0]/e.shape[2],s[1]/e.shape[1]],w=p0.image.rotateWithOffset(e,h,0,x),l=Y.buildRotationMatrix(-h,s),y=n?this.getBoxForPalmLandmarks(o.palmLandmarks,l):o,i=U.cutBoxFromImageAndResize(y,w,[this.inputSize,this.inputSize]),f=i.div(255);i.dispose(),w.dispose();const[m,E]=await this.meshDetector.predict(f);f.dispose();const v=m.dataSync()[0];if(m.dispose(),v>=t.minConfidence){const I=p0.reshape(E,[-1,3]),F=I.arraySync();E.dispose(),I.dispose();const L=this.transformRawCoords(F,y,h,l),d=this.getBoxForHandLandmarks(L);this.updateStoredBoxes(d,_);const u={landmarks:L,handInViewConfidence:v,boundingBox:{topLeft:d.startPoint,bottomRight:d.endPoint}};c.push(u)}else this.updateStoredBoxes(null,_);E.dispose()}return this.storedBoxes=this.storedBoxes.filter(_=>_!==null),this.detectedHands=c.length,c}calculateLandmarksBoundingBox(e){const t=e.map(_=>_[0]),n=e.map(_=>_[1]),r=[Math.min(...t),Math.min(...n)],c=[Math.max(...t),Math.max(...n)];return{startPoint:r,endPoint:c}}updateStoredBoxes(e,t){const n=this.storedBoxes[t];let 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On.HandDetector(t,e.inputSize,Un.anchors),c=new Hn.HandPipeline(r,n,e.inputSize),_=new P0(c);return console.log(`Human: load model: ${e.detector.modelPath.match(/\/(.*)\./)[1]}`),console.log(`Human: load model: ${e.skeleton.modelPath.match(/\/(.*)\./)[1]}`),_}n1.load=jn}),T0=g(me=>{me.body=e=>{if(!e)return[];const t=[];for(const n of e){const r=n.keypoints.find(s=>s.part==="leftWrist"),c=n.keypoints.find(s=>s.part==="rightWrist"),_=n.keypoints.find(s=>s.part==="nose");_&&r&&c&&r.position.y<_.position.y&&c.position.y<_.position.y?t.push("i give up"):_&&r&&r.position.y<_.position.y?t.push("raise left hand"):_&&c&&c.position.y<_.position.y&&t.push("raise right hand");const o=n.keypoints.find(s=>s.part==="leftShoulder"),h=n.keypoints.find(s=>s.part==="rightShoulder");o&&h&&t.push(`leaning ${o.position.y>h.position.y?"left":"right"}`)}return t};me.face=e=>{if(!e)return[];const t=[];for(const n of e)n.annotations.rightCheek&&n.annotations.leftCheek&&n.annotations.rightCheek.length>0&&n.annotations.leftCheek.length>0&&t.push(`facing ${n.annotations.rightCheek[0][2]>0||n.annotations.leftCheek[0][2]<0?"right":"left"}`);return t};me.hand=e=>{if(!e)return[];const t=[];for(const n of e){const r=[];for(const[c,_]of Object.entries(n.annotations))c!=="palmBase"&&r.push({name:c.toLowerCase(),position:_[0]});if(r&&r.length>0){const c=r.reduce((o,h)=>o.position[2]<h.position[2]?o:h),_=r.reduce((o,h)=>o.position[1]<h.position[1]?o:h);t.push(`${c.name} forward ${_.name} up`)}}return t}}),M0=g(I0=>{const qn=function(e,t,n){const r=function(h,s,x){const w=new RegExp("\\b"+s+" \\w+ (\\w+)","ig");h.replace(w,(l,y)=>(x[y]=0,l))},c=function(h,s){const x=e.createShader(s);if(e.shaderSource(x,h),e.compileShader(x),!e.getShaderParameter(x,e.COMPILE_STATUS))throw new Error("Filter: GL compile failed",e.getShaderInfoLog(x));return x};this.uniform={},this.attribute={};const 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Vn={backend:"webgl",console:!0,async:!0,profile:!1,deallocate:!1,scoped:!1,videoOptimized:!0,filter:{enabled:!0,width:0,height:0,return:!0,brightness:0,contrast:0,sharpness:0,blur:0,saturation:0,hue:0,negative:!1,sepia:!1,vintage:!1,kodachrome:!1,technicolor:!1,polaroid:!1,pixelate:0},gesture:{enabled:!0},face:{enabled:!0,detector:{modelPath:"../models/blazeface-back.json",inputSize:256,maxFaces:10,skipFrames:15,minConfidence:.1,iouThreshold:.1,scoreThreshold:.2},mesh:{enabled:!0,modelPath:"../models/facemesh.json",inputSize:192},iris:{enabled:!0,modelPath:"../models/iris.json",enlargeFactor:2.3,inputSize:64},age:{enabled:!0,modelPath:"../models/age-ssrnet-imdb.json",inputSize:64,skipFrames:15},gender:{enabled:!0,minConfidence:.1,modelPath:"../models/gender-ssrnet-imdb.json",inputSize:64,skipFrames:15},emotion:{enabled:!0,inputSize:64,minConfidence:.2,skipFrames:15,modelPath:"../models/emotion-large.json"}},body:{enabled:!0,modelPath:"../models/posenet.json",inputResolution:257,outputStride:16,maxDetections:10,scoreThreshold:.8,nmsRadius:20},hand:{enabled:!0,inputSize:256,skipFrames:15,minConfidence:.5,iouThreshold:.1,scoreThreshold:.8,enlargeFactor:1.65,maxHands:1,detector:{modelPath:"../models/handdetect.json"},skeleton:{modelPath:"../models/handskeleton.json"}}}}),F0=g((N5,B0)=>{B0.exports={name:"@vladmandic/human",version:"0.8.1",description:"human: 3D Face Detection, Body Pose, Hand & Finger Tracking, Iris Tracking, Age & Gender Prediction, Emotion Prediction & Gesture Recognition",sideEffects:!1,main:"dist/human.node.js",module:"dist/human.esm.js",browser:"dist/human.esm.js",author:"Vladimir Mandic <mandic00@live.com>",bugs:{url:"https://github.com/vladmandic/human/issues"},homepage:"https://github.com/vladmandic/human#readme",license:"MIT",engines:{node:">=14.0.0"},repository:{type:"git",url:"git+https://github.com/vladmandic/human.git"},dependencies:{},peerDependencies:{},devDependencies:{"@tensorflow/tfjs":"^2.7.0","@tensorflow/tfjs-node":"^2.7.0","@vladmandic/pilogger":"^0.2.7",chokidar:"^3.4.3",dayjs:"^1.9.5",esbuild:"^0.7.22",eslint:"^7.13.0","eslint-config-airbnb-base":"^14.2.1","eslint-plugin-import":"^2.22.1","eslint-plugin-json":"^2.1.2","eslint-plugin-node":"^11.1.0","eslint-plugin-promise":"^4.2.1",rimraf:"^3.0.2",seedrandom:"^3.0.5","simple-git":"^2.21.0"},scripts:{start:"node --trace-warnings --unhandled-rejections=strict --trace-uncaught --no-deprecation src/node.js",lint:"eslint src/*.js demo/*.js",dev:"npm install && node --trace-warnings --unhandled-rejections=strict --trace-uncaught --no-deprecation dev-server.js","build-iife":"esbuild --bundle --minify --platform=browser --sourcemap --target=es2018 --format=iife --external:fs --global-name=Human --metafile=dist/human.json --outfile=dist/human.js src/human.js","build-esm-bundle":"esbuild --bundle --minify --platform=browser --sourcemap --target=es2018 --format=esm --external:fs --metafile=dist/human.esm.json --outfile=dist/human.esm.js src/human.js","build-esm-nobundle":"esbuild --bundle --minify --platform=browser --sourcemap --target=es2018 --format=esm --external:@tensorflow --external:fs --metafile=dist/human.esm-nobundle.json --outfile=dist/human.esm-nobundle.js src/human.js","build-node":"esbuild --bundle --minify --platform=node --sourcemap --target=es2018 --format=cjs --metafile=dist/human.node.json --outfile=dist/human.node.js src/human.js","build-node-nobundle":"esbuild --bundle --minify --platform=node --sourcemap --target=es2018 --format=cjs --external:@tensorflow --metafile=dist/human.node.json --outfile=dist/human.node-nobundle.js src/human.js","build-demo":"esbuild --bundle --log-level=error --platform=browser --sourcemap --target=es2018 --format=esm --external:fs --metafile=dist/demo-browser-index.json --outfile=dist/demo-browser-index.js demo/browser.js",build:"rimraf dist/* && npm run build-iife && npm run build-esm-bundle && npm run build-esm-nobundle && npm run build-node && npm run build-node-nobundle && npm run build-demo",update:"npm update --depth 20 --force && npm dedupe && npm prune && npm audit",changelog:"node changelog.js"},keywords:["tensorflowjs","face-detection","face-geometry","body-tracking","hand-tracking","iris-tracking","age-estimation","emotion-detection","gender-prediction","gesture-recognition"]}});const A=require("@tensorflow/tfjs"),c1=F1(),se=N1(),ie=C1(),xe=z1(),_1=i0(),h1=S0(),o1=T0(),Kn=k0(),$n=ee(),Qn=A0().default,Zn=F0(),Jn={face:{detector:{skipFrames:0},age:{skipFrames:0},gender:{skipFrames:0},emotion:{skipFrames:0}},hand:{skipFrames:0}},T=()=>typeof performance!="undefined"?performance.now():parseInt(Number(process.hrtime.bigint())/1e3/1e3);function ge(...e){const t=n=>n&&typeof n=="object";return e.reduce((n,r)=>(Object.keys(r||{}).forEach(c=>{const _=n[c],o=r[c];Array.isArray(_)&&Array.isArray(o)?n[c]=_.concat(...o):t(_)&&t(o)?n[c]=ge(_,o):n[c]=o}),n),{})}class e5{constructor(){this.tf=A,this.version=Zn.version,this.config=Qn,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=c1,this.age=se,this.gender=ie,this.emotion=xe,this.body=_1,this.hand=h1}log(...e){e&&this.config.console&&console.log("Human:",...e)}profile(){return this.config.profile?$n.data:{}}analyze(...e){if(!this.analyzeMemoryLeaks)return;const t=A.engine().state.numTensors,n=this.numTensors;this.numTensors=t;const r=t-n;r!==0&&this.log(...e,r)}sanity(e){if(!this.checkSanity)return null;if(!e)return"input is not defined";if(A.ENV.flags.IS_NODE&&!(e instanceof A.Tensor))return"input must be a tensor";try{A.getBackend()}catch(t){return"backend not loaded"}return null}async load(e){this.state="load";const t=T();e&&(this.config=ge(this.config,e)),this.firstRun&&(this.checkBackend(!0),this.log(`version: ${this.version} TensorFlow/JS version: ${A.version_core}`),this.log("configuration:",this.config),this.log("flags:",A.ENV.flags),this.firstRun=!1),this.config.async?[this.models.age,this.models.gender,this.models.emotion,this.models.facemesh,this.models.posenet,this.models.handpose]=await Promise.all([this.models.age||se.load(this.config),this.models.gender||ie.load(this.config),this.models.emotion||xe.load(this.config),this.models.facemesh||c1.load(this.config.face),this.models.posenet||_1.load(this.config.body),this.models.handpose||h1.load(this.config.hand)]):(this.config.face.enabled&&!this.models.facemesh&&(this.models.facemesh=await c1.load(this.config.face)),this.config.body.enabled&&!this.models.posenet&&(this.models.posenet=await _1.load(this.config.body)),this.config.hand.enabled&&!this.models.handpose&&(this.models.handpose=await h1.load(this.config.hand)),this.config.face.enabled&&this.config.face.age.enabled&&!this.models.age&&(this.models.age=await se.load(this.config)),this.config.face.enabled&&this.config.face.gender.enabled&&!this.models.gender&&(this.models.gender=await ie.load(this.config)),this.config.face.enabled&&this.config.face.emotion.enabled&&!this.models.emotion&&(this.models.emotion=await xe.load(this.config)));const n=Math.trunc(T()-t);n>(this.perf.load||0)&&(this.perf.load=n)}async checkBackend(e){const t=T();(e||A.getBackend()!==this.config.backend)&&(this.state="backend",this.log("setting backend:",this.config.backend),await A.setBackend(this.config.backend),A.enableProdMode(),this.config.deallocate&&this.config.backend==="webgl"&&(this.log("Changing WebGL: WEBGL_DELETE_TEXTURE_THRESHOLD:",this.config.deallocate),A.ENV.set("WEBGL_DELETE_TEXTURE_THRESHOLD",this.config.deallocate?0:-1)),A.ENV.set("WEBGL_PACK_DEPTHWISECONV",!0),await A.ready());const n=Math.trunc(T()-t);n>(this.perf.backend||0)&&(this.perf.backend=n)}async detectFace(e){let t,n,r,c;const _=[];this.state="run:face",t=T();const o=await this.models.facemesh.estimateFaces(e,this.config.face);this.perf.face=Math.trunc(T()-t);for(const h of o){if(this.analyze("Get Face"),!h.image||h.image.isDisposedInternal){this.log("Face object is disposed:",h.image);continue}this.analyze("Start Age:"),this.config.async?n=this.config.face.age.enabled?se.predict(h.image,this.config):{}:(this.state="run:age",t=T(),n=this.config.face.age.enabled?await se.predict(h.image,this.config):{},this.perf.age=Math.trunc(T()-t)),this.analyze("Start Gender:"),this.config.async?r=this.config.face.gender.enabled?ie.predict(h.image,this.config):{}:(this.state="run:gender",t=T(),r=this.config.face.gender.enabled?await ie.predict(h.image,this.config):{},this.perf.gender=Math.trunc(T()-t)),this.analyze("Start Emotion:"),this.config.async?c=this.config.face.emotion.enabled?xe.predict(h.image,this.config):{}:(this.state="run:emotion",t=T(),c=this.config.face.emotion.enabled?await xe.predict(h.image,this.config):{},this.perf.emotion=Math.trunc(T()-t)),this.analyze("End Emotion:"),this.config.async&&([n,r,c]=await Promise.all([n,r,c])),this.analyze("Finish Face:"),h.image.dispose();const s=h.annotations.leftEyeIris&&h.annotations.rightEyeIris?Math.max(h.annotations.leftEyeIris[3][0]-h.annotations.leftEyeIris[1][0],h.annotations.rightEyeIris[3][0]-h.annotations.rightEyeIris[1][0]):0;_.push({confidence:h.confidence,box:h.box,mesh:h.mesh,annotations:h.annotations,age:n.age,gender:r.gender,genderConfidence:r.confidence,emotion:c,iris:s!==0?Math.trunc(100*11.7/s)/100:0}),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),_}async detect(e,t={}){this.state="config";let n;this.config=ge(this.config,t),this.config.videoOptimized||(this.config=ge(this.config,Jn)),this.state="check";const r=this.sanity(e);return r?(this.log(r,e),{error:r}):new Promise(async c=>{let _,o,h;const s=T();await this.checkBackend(),await this.load(),this.config.scoped&&A.engine().startScope(),this.analyze("Start Scope:"),n=T();const x=Kn.process(e,this.config);this.perf.image=Math.trunc(T()-n),this.analyze("Get Image:"),this.config.async?(h=this.config.face.enabled?this.detectFace(x.tensor):[],this.perf.face&&delete this.perf.face):(this.state="run:face",n=T(),h=this.config.face.enabled?await this.detectFace(x.tensor):[],this.perf.face=Math.trunc(T()-n)),this.analyze("Start Body:"),this.config.async?(_=this.config.body.enabled?this.models.posenet.estimatePoses(x.tensor,this.config.body):[],this.perf.body&&delete this.perf.body):(this.state="run:body",n=T(),_=this.config.body.enabled?await this.models.posenet.estimatePoses(x.tensor,this.config.body):[],this.perf.body=Math.trunc(T()-n)),this.analyze("End Body:"),this.analyze("Start Hand:"),this.config.async?(o=this.config.hand.enabled?this.models.handpose.estimateHands(x.tensor,this.config.hand):[],this.perf.hand&&delete this.perf.hand):(this.state="run:hand",n=T(),o=this.config.hand.enabled?await this.models.handpose.estimateHands(x.tensor,this.config.hand):[],this.perf.hand=Math.trunc(T()-n)),this.config.async&&([h,_,o]=await Promise.all([h,_,o])),x.tensor.dispose(),this.config.scoped&&A.engine().endScope(),this.analyze("End Scope:");let w=[];this.config.gesture.enabled&&(n=T(),w={body:o1.body(_),hand:o1.hand(o),face:o1.face(h)},this.config.async?this.perf.gesture&&delete this.perf.gesture:this.perf.gesture=Math.trunc(T()-n)),this.perf.total=Math.trunc(T()-s),this.state="idle",c({face:h,body:_,hand:o,gesture:w,performance:this.perf,canvas:x.canvas})})}}export{e5 as default};
/**
 * @license
 * Copyright 2020 Google LLC. All Rights Reserved.
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * https://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 * =============================================================================
 */
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