mirror of https://github.com/vladmandic/human
3 lines
68 KiB
JavaScript
3 lines
68 KiB
JavaScript
var Ge=Object.defineProperty;var x=(e,t)=>()=>(t||(t={exports:{}},e(t.exports,t)),t.exports),N0=e=>Ge(e,"__esModule",{value:!0}),Qe=(e,t)=>{N0(e);for(var n in t)Ge(e,n,{get:t[n],enumerable:!0})};var tt=x(ae=>{const g=require("@tensorflow/tfjs"),Ze=6;function R0(e){const t={strides:[e/16,e/8],anchors:[2,6]},n=[];for(let o=0;o<t.strides.length;o++){const i=t.strides[o],s=Math.floor((e+i-1)/i),r=Math.floor((e+i-1)/i),a=t.anchors[o];for(let c=0;c<s;c++){const d=i*(c+.5);for(let u=0;u<r;u++){const h=i*(u+.5);for(let l=0;l<a;l++)n.push([h,d])}}}return n}const $e=e=>{e.startEndTensor.dispose(),e.startPoint.dispose(),e.endPoint.dispose()},Je=e=>({startEndTensor:e,startPoint:g.slice(e,[0,0],[-1,2]),endPoint:g.slice(e,[0,2],[-1,2])}),z0=(e,t)=>{const n=g.mul(e.startPoint,t),o=g.mul(e.endPoint,t),i=g.concat2d([n,o],1);return Je(i)};function A0(e,t,n){const o=g.slice(e,[0,1],[-1,2]),i=g.add(o,t),s=g.slice(e,[0,3],[-1,2]),r=g.div(s,n),a=g.div(i,n),c=g.div(r,2),d=g.sub(a,c),u=g.add(a,c),h=g.mul(d,n),l=g.mul(u,n),m=1;return g.concat2d([h,l],m)}function O0(e,t){return g.tidy(()=>{const n=e.box?e.box:e;return z0(n,t).startEndTensor.squeeze()})}class et{constructor(e,t){this.blazeFaceModel=e,this.width=t.detector.inputSize,this.height=t.detector.inputSize,this.maxFaces=t.detector.maxFaces,this.anchorsData=R0(t.detector.inputSize),this.anchors=g.tensor2d(this.anchorsData),this.inputSize=g.tensor1d([this.width,this.height]),this.iouThreshold=t.detector.iouThreshold,this.scaleFaces=.8,this.scoreThreshold=t.detector.scoreThreshold}async getBoundingBoxes(e){if(!e||e.isDisposedInternal||e.shape.length!==4||e.shape[1]<1||e.shape[2]<1)return null;const[t,n,o]=g.tidy(()=>{const d=e.resizeBilinear([this.width,this.height]),u=g.mul(g.sub(d.div(255),.5),2),h=this.blazeFaceModel.predict(u);let l;if(Array.isArray(h)){const b=h.sort((C,L)=>C.size-L.size),M=g.concat([b[0],b[2]],2),w=g.concat([b[1],b[3]],2),O=g.concat([w,M],1);l=O.squeeze(0)}else l=h.squeeze();const m=A0(l,this.anchors,this.inputSize),p=g.slice(l,[0,0],[-1,1]),P=g.sigmoid(p).squeeze();return[l,m,P]}),i=await g.image.nonMaxSuppressionAsync(n,o,this.maxFaces,this.iouThreshold,this.scoreThreshold),s=await i.array();i.dispose();const r=s.map(d=>g.slice(n,[d,0],[1,-1])),a=await Promise.all(r.map(async d=>{const u=await d.array();return d.dispose(),u})),c=[];for(let d=0;d<a.length;d++){const u=a[d],h=Je(u),l=s[d],m=this.anchorsData[l],p=g.slice(t,[l,Ze-1],[1,-1]),P=p.squeeze(),b=P.reshape([Ze,-1]),M=g.slice(o,[l],[1]),w={box:h,landmarks:b,probability:M,anchor:m};c.push(w),p.dispose(),P.dispose()}return t.dispose(),n.dispose(),o.dispose(),t.dispose(),{boxes:c,scaleFactor:[e.shape[2]/this.width,e.shape[1]/this.height]}}async estimateFaces(e){const t=e instanceof g.Tensor?e:g.browser.fromPixels(e),n=t.toFloat(),o=n.expandDims(0);t.dispose(),n.dispose();const{boxes:i,scaleFactor:s}=await this.getBoundingBoxes(o);return o.dispose(),Promise.all(i.map(async r=>{const a=O0(r,s),[c,d,u]=await Promise.all([r.landmarks,a,r.probability].map(async b=>b.array())),h=r.anchor,[l,m]=s,p=c.map(b=>[(b[0]+h[0])*l,(b[1]+h[1])*m]),P={topLeft:d.slice(0,2),bottomRight:d.slice(2),landmarks:p,probability:u};return $e(r.box),r.landmarks.dispose(),r.probability.dispose(),a.dispose(),P}))}}async function v0(e){const t=await g.loadGraphModel(e.detector.modelPath,{fromTFHub:e.detector.modelPath.includes("tfhub.dev")}),n=new et(t,e);return n}ae.load=v0;ae.BlazeFaceModel=et;ae.disposeBox=$e});var be=x(ge=>{ge.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]};ge.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]}]});var nt=x(X=>{const D0=require("@tensorflow/tfjs");function F0(e,t){const n=[e.startPoint[0]*t[0],e.startPoint[1]*t[1]],o=[e.endPoint[0]*t[0],e.endPoint[1]*t[1]];return{startPoint:n,endPoint:o}}X.scaleBoxCoordinates=F0;function ye(e){return[Math.abs(e.endPoint[0]-e.startPoint[0]),Math.abs(e.endPoint[1]-e.startPoint[1])]}X.getBoxSize=ye;function xe(e){return[e.startPoint[0]+(e.endPoint[0]-e.startPoint[0])/2,e.startPoint[1]+(e.endPoint[1]-e.startPoint[1])/2]}X.getBoxCenter=xe;function C0(e,t,n){const o=t.shape[1],i=t.shape[2],s=[[e.startPoint[1]/o,e.startPoint[0]/i,e.endPoint[1]/o,e.endPoint[0]/i]];return D0.image.cropAndResize(t,s,[0],n)}X.cutBoxFromImageAndResize=C0;function L0(e,t=1.5){const n=xe(e),o=ye(e),i=[t*o[0]/2,t*o[1]/2],s=[n[0]-i[0],n[1]-i[1]],r=[n[0]+i[0],n[1]+i[1]];return{startPoint:s,endPoint:r,landmarks:e.landmarks}}X.enlargeBox=L0;function H0(e){const t=xe(e),n=ye(e),o=Math.max(...n),i=o/2,s=[t[0]-i,t[1]-i],r=[t[0]+i,t[1]+i];return{startPoint:s,endPoint:r,landmarks:e.landmarks}}X.squarifyBox=H0});var at=x(R=>{R.IDENTITY_MATRIX=[[1,0,0],[0,1,0],[0,0,1]];function ot(e){return e-2*Math.PI*Math.floor((e+Math.PI)/(2*Math.PI))}R.normalizeRadians=ot;function q0(e,t){const n=Math.PI/2-Math.atan2(-(t[1]-e[1]),t[0]-e[0]);return ot(n)}R.computeRotation=q0;function j0(e){return e*180/Math.PI}R.radToDegrees=j0;function st(e,t){return[[1,0,e],[0,1,t],[0,0,1]]}function Z(e,t){let n=0;for(let o=0;o<e.length;o++)n+=e[o]*t[o];return n}R.dot=Z;function it(e,t){const n=[];for(let o=0;o<e.length;o++)n.push(e[o][t]);return n}R.getColumnFrom2DArr=it;function rt(e,t){const n=[],o=e.length;for(let i=0;i<o;i++){n.push([]);for(let s=0;s<o;s++)n[i].push(Z(e[i],it(t,s)))}return n}function U0(e,t){const n=Math.cos(e),o=Math.sin(e),i=[[n,-o,0],[o,n,0],[0,0,1]],s=st(t[0],t[1]),r=rt(s,i),a=st(-t[0],-t[1]);return rt(r,a)}R.buildRotationMatrix=U0;function W0(e){const t=[[e[0][0],e[1][0]],[e[0][1],e[1][1]]],n=[e[0][2],e[1][2]],o=[-Z(t[0],n),-Z(t[1],n)];return[t[0].concat(o[0]),t[1].concat(o[1]),[0,0,1]]}R.invertTransformMatrix=W0;function K0(e,t){return[Z(e,t[0]),Z(e,t[1])]}R.rotatePoint=K0;function Y0(e,t){return Math.sqrt((e[0]-t[0])**2+(e[1]-t[1])**2)}R.xyDistanceBetweenPoints=Y0});var dt=x(ct=>{const F=require("@tensorflow/tfjs"),v=nt(),H=be(),q=at(),V0=468,X0=.25,G0=13,Q0=[G0,H.MESH_ANNOTATIONS.midwayBetweenEyes[0]],Z0=3,$0=2,J0=[Z0,$0],we=H.MESH_ANNOTATIONS.leftEyeLower0,Pe=[we[0],we[we.length-1]],Me=H.MESH_ANNOTATIONS.rightEyeLower0,Ee=[Me[0],Me[Me.length-1]],en=3,tn=4,nn=71,Ie=76;function ce(e,t,n,o){for(let i=0;i<H.MESH_TO_IRIS_INDICES_MAP.length;i++){const{key:s,indices:r}=H.MESH_TO_IRIS_INDICES_MAP[i],a=H.MESH_ANNOTATIONS[`${n}${s}`],c=o==null;if(c||o.includes(s))for(let d=0;d<r.length;d++){const u=r[d];e[a[d]]=[t[u][0],t[u][1],(t[u][2]+e[a[d]][2])/2]}}}class on{constructor(e,t,n,o){this.regionsOfInterest=[],this.runsWithoutFaceDetector=0,this.boundingBoxDetector=e,this.meshDetector=t,this.irisModel=n,this.meshWidth=o.mesh.inputSize,this.meshHeight=o.mesh.inputSize,this.irisSize=o.iris.inputSize,this.irisEnlarge=o.iris.enlargeFactor}transformRawCoords(e,t,n,o){const i=v.getBoxSize({startPoint:t.startPoint,endPoint:t.endPoint}),s=[i[0]/this.meshWidth,i[1]/this.meshHeight],r=e.map(l=>[s[0]*(l[0]-this.meshWidth/2),s[1]*(l[1]-this.meshHeight/2),l[2]]),a=q.buildRotationMatrix(n,[0,0]),c=r.map(l=>[...q.rotatePoint(l,a),l[2]]),d=q.invertTransformMatrix(o),u=[...v.getBoxCenter({startPoint:t.startPoint,endPoint:t.endPoint}),1],h=[q.dot(u,d[0]),q.dot(u,d[1])];return c.map(l=>[l[0]+h[0],l[1]+h[1],l[2]])}getLeftToRightEyeDepthDifference(e){const t=e[Pe[0]][2],n=e[Ee[0]][2];return t-n}getEyeBox(e,t,n,o,i=!1){const s=v.squarifyBox(v.enlargeBox(this.calculateLandmarksBoundingBox([e[n],e[o]]),this.irisEnlarge)),r=v.getBoxSize(s);let a=F.image.cropAndResize(t,[[s.startPoint[1]/this.meshHeight,s.startPoint[0]/this.meshWidth,s.endPoint[1]/this.meshHeight,s.endPoint[0]/this.meshWidth]],[0],[this.irisSize,this.irisSize]);return i&&(a=F.image.flipLeftRight(a)),{box:s,boxSize:r,crop:a}}getEyeCoords(e,t,n,o=!1){const i=[];for(let s=0;s<Ie;s++){const r=e[s*3],a=e[s*3+1],c=e[s*3+2];i.push([(o?1-r/this.irisSize:r/this.irisSize)*n[0]+t.startPoint[0],a/this.irisSize*n[1]+t.startPoint[1],c])}return{rawCoords:i,iris:i.slice(nn)}}getAdjustedIrisCoords(e,t,n){const o=e[H.MESH_ANNOTATIONS[`${n}EyeUpper0`][en]][2],i=e[H.MESH_ANNOTATIONS[`${n}EyeLower0`][tn]][2],s=(o+i)/2;return t.map((r,a)=>{let c=s;return a===2?c=o:a===4&&(c=i),[r[0],r[1],c]})}async predict(e,t){if(this.skipFrames=t.detector.skipFrames,this.maxFaces=t.detector.maxFaces,this.runsWithoutFaceDetector++,this.shouldUpdateRegionsOfInterest()){const o=await this.boundingBoxDetector.getBoundingBoxes(e);if(o.boxes.length===0)return this.regionsOfInterest=[],null;const i=o.boxes.map(s=>{const r=s.box.startPoint.squeeze(),a=s.box.endPoint.squeeze(),c={startPoint:r.arraySync(),endPoint:a.arraySync()};r.dispose(),a.dispose();const d=v.scaleBoxCoordinates(c,o.scaleFactor),u=v.enlargeBox(d),h=s.landmarks.arraySync();return s.box.startPoint.dispose(),s.box.endPoint.dispose(),s.landmarks.dispose(),s.probability.dispose(),{...u,landmarks:h}});this.updateRegionsOfInterest(i),this.runsWithoutFaceDetector=0}const n=F.tidy(()=>this.regionsOfInterest.map((o,i)=>{let s=0;const r=o.landmarks.length>=V0;let[a,c]=Q0;r===!1&&([a,c]=J0),s=q.computeRotation(o.landmarks[a],o.landmarks[c]);const d=v.getBoxCenter({startPoint:o.startPoint,endPoint:o.endPoint}),u=[d[0]/e.shape[2],d[1]/e.shape[1]];let h=e,l=q.IDENTITY_MATRIX;s!==0&&(h=F.image.rotateWithOffset(e,s,0,u),l=q.buildRotationMatrix(-s,d));const m={startPoint:o.startPoint,endPoint:o.endPoint},p=v.cutBoxFromImageAndResize(m,h,[this.meshHeight,this.meshWidth]).div(255),[,P,b]=this.meshDetector.predict(p),M=F.reshape(b,[-1,3]);let w=M.arraySync();if(t.iris.enabled){const{box:re,boxSize:fe,crop:w0}=this.getEyeBox(w,p,Pe[0],Pe[1],!0),{box:P0,boxSize:M0,crop:E0}=this.getEyeBox(w,p,Ee[0],Ee[1]),We=this.irisModel.predict(F.concat([w0,E0])),Ke=We.dataSync();We.dispose();const I0=Ke.slice(0,Ie*3),{rawCoords:Ye,iris:S0}=this.getEyeCoords(I0,re,fe,!0),T0=Ke.slice(Ie*3),{rawCoords:Ve,iris:B0}=this.getEyeCoords(T0,P0,M0),Xe=this.getLeftToRightEyeDepthDifference(w);Math.abs(Xe)<30?(ce(w,Ye,"left"),ce(w,Ve,"right")):Xe<1?ce(w,Ye,"left",["EyeUpper0","EyeLower0"]):ce(w,Ve,"right",["EyeUpper0","EyeLower0"]);const k0=this.getAdjustedIrisCoords(w,S0,"left"),_0=this.getAdjustedIrisCoords(w,B0,"right");w=w.concat(k0).concat(_0)}const O=this.transformRawCoords(w,o,s,l);F.dispose(w);const C=v.enlargeBox(this.calculateLandmarksBoundingBox(O)),L=P.squeeze();if(F.dispose(P),t.mesh.enabled){const re=F.tensor2d(O);this.regionsOfInterest[i]={...C,landmarks:re.arraySync()};const fe={coords:re,box:C,confidence:L,image:p};return fe}const pe={coords:null,box:C,confidence:L,image:p};return pe}));return n}updateRegionsOfInterest(e){for(let t=0;t<e.length;t++){const n=e[t],o=this.regionsOfInterest[t];let i=0;if(o&&o.startPoint){const[s,r]=n.startPoint,[a,c]=n.endPoint,[d,u]=o.startPoint,[h,l]=o.endPoint,m=Math.max(s,d),p=Math.max(r,u),P=Math.min(a,h),b=Math.min(c,l),M=(P-m)*(b-p),w=(a-s)*(c-r),O=(h-d)*(l-r);i=M/(w+O-M)}i<X0&&(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)])}shouldUpdateRegionsOfInterest(){return this.regionsOfInterest.length===0?!0:this.regionsOfInterest.length!==this.maxFaces&&this.runsWithoutFaceDetector>=this.skipFrames}calculateLandmarksBoundingBox(e){const t=e.map(s=>s[0]),n=e.map(s=>s[1]),o=[Math.min(...t),Math.min(...n)],i=[Math.max(...t),Math.max(...n)];return{startPoint:o,endPoint:i,landmarks:e}}}ct.Pipeline=on});var 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St.tidy(()=>St.div(e,127.5).sub(1))}nameOutputResults(e){const[t,n,o,i]=e;return{offsets:t,heatmap:n,displacementFwd:o,displacementBwd:i}}}It.MobileNet=Mn});var Bt=x(Tt=>{function _e(e){return Math.floor(e/2)}class En{constructor(e,t){this.priorityQueue=new Array(e),this.numberOfElements=-1,this.getElementValue=t}enqueue(e){this.priorityQueue[++this.numberOfElements]=e,this.swim(this.numberOfElements)}dequeue(){const e=this.priorityQueue[0];return this.exchange(0,this.numberOfElements--),this.sink(0),this.priorityQueue[this.numberOfElements+1]=null,e}empty(){return this.numberOfElements===-1}size(){return this.numberOfElements+1}all(){return this.priorityQueue.slice(0,this.numberOfElements+1)}max(){return this.priorityQueue[0]}swim(e){for(;e>0&&this.less(_e(e),e);)this.exchange(e,_e(e)),e=_e(e)}sink(e){for(;2*e<=this.numberOfElements;){let t=2*e;if(t<this.numberOfElements&&this.less(t,t+1)&&t++,!this.less(e,t))break;this.exchange(e,t),e=t}}getValueAt(e){return this.getElementValue(this.priorityQueue[e])}less(e,t){return this.getValueAt(e)<this.getValueAt(t)}exchange(e,t){const n=this.priorityQueue[e];this.priorityQueue[e]=this.priorityQueue[t],this.priorityQueue[t]=n}}Tt.MaxHeap=En});var _t=x(kt=>{const In=Bt();function Sn(e,t,n,o,i,s){const[r,a]=s.shape;let c=!0;const d=Math.max(n-i,0),u=Math.min(n+i+1,r);for(let h=d;h<u;++h){const l=Math.max(o-i,0),m=Math.min(o+i+1,a);for(let p=l;p<m;++p)if(s.get(h,p,e)>t){c=!1;break}if(!c)break}return c}function Tn(e,t,n){const[o,i,s]=n.shape,r=new In.MaxHeap(o*i*s,({score:a})=>a);for(let a=0;a<o;++a)for(let c=0;c<i;++c)for(let d=0;d<s;++d){const u=n.get(a,c,d);if(u<e)continue;Sn(d,u,a,c,t,n)&&r.enqueue({score:u,part:{heatmapY:a,heatmapX:c,id:d}})}return r}kt.buildPartWithScoreQueue=Tn});var oe=x(z=>{z.partNames=["nose","leftEye","rightEye","leftEar","rightEar","leftShoulder","rightShoulder","leftElbow","rightElbow","leftWrist","rightWrist","leftHip","rightHip","leftKnee","rightKnee","leftAnkle","rightAnkle"];z.NUM_KEYPOINTS=z.partNames.length;z.partIds=z.partNames.reduce((e,t,n)=>(e[t]=n,e),{});const Bn=[["leftHip","leftShoulder"],["leftElbow","leftShoulder"],["leftElbow","leftWrist"],["leftHip","leftKnee"],["leftKnee","leftAnkle"],["rightHip","rightShoulder"],["rightElbow","rightShoulder"],["rightElbow","rightWrist"],["rightHip","rightKnee"],["rightKnee","rightAnkle"],["leftShoulder","rightShoulder"],["leftHip","rightHip"]];z.poseChain=[["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"]];z.connectedPartIndices=Bn.map(([e,t])=>[z.partIds[e],z.partIds[t]]);z.partChannels=["left_face","right_face","right_upper_leg_front","right_lower_leg_back","right_upper_leg_back","left_lower_leg_front","left_upper_leg_front","left_upper_leg_back","left_lower_leg_back","right_feet","right_lower_leg_front","left_feet","torso_front","torso_back","right_upper_arm_front","right_upper_arm_back","right_lower_arm_back","left_lower_arm_front","left_upper_arm_front","left_upper_arm_back","left_lower_arm_back","right_hand","right_lower_arm_front","left_hand"]});var Re=x(U=>{const kn=oe();function Nt(e,t,n,o){return{y:o.get(e,t,n),x:o.get(e,t,n+kn.NUM_KEYPOINTS)}}U.getOffsetPoint=Nt;function _n(e,t,n){const{heatmapY:o,heatmapX:i,id:s}=e,{y:r,x:a}=Nt(o,i,s,n);return{x:e.heatmapX*t+a,y:e.heatmapY*t+r}}U.getImageCoords=_n;function Nn(e,t){const n=new Array(t);for(let o=0;o<t;o++)n[o]=e;return n}U.fillArray=Nn;function Ne(e,t,n){return e<t?t:e>n?n:e}U.clamp=Ne;function Rn(e,t,n,o){const i=n-e,s=o-t;return i*i+s*s}U.squaredDistance=Rn;function zn(e,t){return{x:e.x+t.x,y:e.y+t.y}}U.addVectors=zn;function An(e,t,n){return{y:Ne(e.y,t,n),x:Ne(e.x,t,n)}}U.clampVector=An});var vt=x(Rt=>{const se=oe(),J=Re(),zt=se.poseChain.map(([e,t])=>[se.partIds[e],se.partIds[t]]),ze=zt.map(([,e])=>e),At=zt.map(([e])=>e);function On(e,t,n){const o=n.shape[2]/2;return{y:n.get(t.y,t.x,e),x:n.get(t.y,t.x,o+e)}}function Ae(e,t,n,o){return{y:J.clamp(Math.round(e.y/t),0,n-1),x:J.clamp(Math.round(e.x/t),0,o-1)}}function 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Promise.all(e.map(t=>t.buffer()))}_.toTensorBuffers3D=Kn;function jt(e,t,n,o=0,i=0){return{score:e.score,keypoints:e.keypoints.map(({score:s,part:r,position:a})=>({score:s,part:r,position:{x:a.x*n+i,y:a.y*t+o}}))}}_.scalePose=jt;function Ut(e,t,n,o=0,i=0){return n===1&&t===1&&o===0&&i===0?e:e.map(s=>jt(s,t,n,o,i))}_.scalePoses=Ut;function Wt(e){return e instanceof ee.Tensor?[e.shape[0],e.shape[1]]:[e.height,e.width]}_.getInputTensorDimensions=Wt;function ve(e){return e instanceof ee.Tensor?e:ee.browser.fromPixels(e)}_.toInputTensor=ve;function Yn(e,t,n){return ee.tidy(()=>{const o=ve(e);return o.resizeBilinear([t,n])})}_.toResizedInputTensor=Yn;function Vn(e,[t,n]){const[o,i]=Wt(e),s=n/t,r=i/o;let[a,c,d,u]=[0,0,0,0];r<s?(a=0,c=0,d=Math.round(.5*(s*o-i)),u=Math.round(.5*(s*o-i))):(a=Math.round(.5*(1/s*i-o)),c=Math.round(.5*(1/s*i-o)),d=0,u=0);const h=ee.tidy(()=>{let l=ve(e);return l=ee.pad3d(l,[[a,c],[d,u],[0,0]]),l.resizeBilinear([t,n])});return{resized:h,padding:{top:a,left:d,right:u,bottom:c}}}_.padAndResizeTo=Vn;function Xn(e,[t,n],[o,i],s){const r=(t+s.top+s.bottom)/o,a=(n+s.left+s.right)/i,c=Ut(e,r,a,-s.top,-s.left);return c}_.scaleAndFlipPoses=Xn});var Yt=x(Fe=>{const Gn=require("@tensorflow/tfjs"),Qn=ke(),Zn=Oe(),he=De();class Kt{constructor(e){this.baseModel=e}async estimatePoses(e,t){const n=t.outputStride,[o,i]=he.getInputTensorDimensions(e),{resized:s,padding:r}=he.padAndResizeTo(e,[t.inputResolution,t.inputResolution]),{heatmapScores:a,offsets:c,displacementFwd:d,displacementBwd:u}=this.baseModel.predict(s),h=await he.toTensorBuffers3D([a,c,d,u]),l=h[0],m=h[1],p=h[2],P=h[3],b=await Zn.decodeMultiplePoses(l,m,p,P,n,t.maxDetections,t.scoreThreshold,t.nmsRadius),M=he.scaleAndFlipPoses(b,[o,i],[t.inputResolution,t.inputResolution],r);return a.dispose(),c.dispose(),d.dispose(),u.dispose(),s.dispose(),M}dispose(){this.baseModel.dispose()}}Fe.PoseNet=Kt;async function $n(e){const t=await Gn.loadGraphModel(e.modelPath),n=new Qn.MobileNet(t,e.outputStride);return new Kt(n)}async function Jn(e){return $n(e)}Fe.load=Jn});var Xt=x(B=>{const eo=ke(),Vt=Yt(),to=Oe(),ue=oe(),ie=De();B.load=Vt.load;B.PoseNet=Vt.PoseNet;B.MobileNet=eo.MobileNet;B.decodeMultiplePoses=to.decodeMultiplePoses;B.partChannels=ue.partChannels;B.partIds=ue.partIds;B.partNames=ue.partNames;B.poseChain=ue.poseChain;B.getAdjacentKeyPoints=ie.getAdjacentKeyPoints;B.getBoundingBox=ie.getBoundingBox;B.getBoundingBoxPoints=ie.getBoundingBoxPoints;B.scaleAndFlipPoses=ie.scaleAndFlipPoses;B.scalePose=ie.scalePose});var He=x(W=>{const no=require("@tensorflow/tfjs");function Ce(e){return[Math.abs(e.endPoint[0]-e.startPoint[0]),Math.abs(e.endPoint[1]-e.startPoint[1])]}W.getBoxSize=Ce;function 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n=[e.endPoint[0]-e.startPoint[0],e.endPoint[1]-e.startPoint[1]],o=[n[0]*t[0],n[1]*t[1]],i=[e.startPoint[0]+o[0],e.startPoint[1]+o[1]],s=[e.endPoint[0]+o[0],e.endPoint[1]+o[1]];return{startPoint:i,endPoint:s,palmLandmarks:e.palmLandmarks}}W.shiftBox=ao});var Qt=x(Gt=>{const y=require("@tensorflow/tfjs"),co=He();class lo{constructor(e,t,n){this.model=e,this.width=n.inputSize,this.height=n.inputSize,this.anchors=t.map(o=>[o.x_center,o.y_center]),this.anchorsTensor=y.tensor2d(this.anchors),this.inputSizeTensor=y.tensor1d([n.inputSize,n.inputSize]),this.doubleInputSizeTensor=y.tensor1d([n.inputSize*2,n.inputSize*2])}normalizeBoxes(e){return y.tidy(()=>{const t=y.slice(e,[0,0],[-1,2]),n=y.slice(e,[0,2],[-1,2]),o=y.add(y.div(t,this.inputSizeTensor),this.anchorsTensor),i=y.div(n,this.doubleInputSizeTensor),s=y.mul(y.sub(o,i),this.inputSizeTensor),r=y.mul(y.add(o,i),this.inputSizeTensor);return y.concat2d([s,r],1)})}normalizeLandmarks(e,t){return y.tidy(()=>{const n=y.add(y.div(e.reshape([-1,7,2]),this.inputSizeTensor),this.anchors[t]);return y.mul(n,this.inputSizeTensor)})}async getBoundingBoxes(e){const t=y.tidy(()=>y.mul(y.sub(e,.5),2)),n=this.model.predict(t),o=n.squeeze(),i=y.tidy(()=>y.sigmoid(y.slice(o,[0,0],[-1,1])).squeeze()),s=y.slice(o,[0,1],[-1,4]),r=this.normalizeBoxes(s),a=await y.image.nonMaxSuppressionAsync(r,i,this.maxHands,this.iouThreshold,this.scoreThreshold),c=await a.array(),d=[t,n,a,o,r,s,i],u=y.tidy(()=>{const h=[];for(const l in c){const m=c[l],p=y.slice(r,[m,0],[1,-1]),P=y.slice(o,[m,5],[1,14]),b=y.tidy(()=>this.normalizeLandmarks(P,m).reshape([-1,2]));h.push({boxes:p,palmLandmarks:b})}return h});return d.forEach(h=>h.dispose()),u}async estimateHandBounds(e,t){const n=e.shape[1],o=e.shape[2];this.iouThreshold=t.iouThreshold,this.scoreThreshold=t.scoreThreshold,this.maxHands=t.maxHands;const i=y.tidy(()=>e.resizeBilinear([this.width,this.height]).div(255)),s=await this.getBoundingBoxes(i);if(i.dispose(),!s||s.length===0)return null;const r=[];for(const a in s){const c=s[a],d=await c.boxes.array(),u=d[0].slice(0,2),h=d[0].slice(2,4),l=await c.palmLandmarks.array();c.boxes.dispose(),c.palmLandmarks.dispose(),r.push(co.scaleBoxCoordinates({startPoint:u,endPoint:h,palmLandmarks:l},[o/this.width,n/this.height]))}return r}}Gt.HandDetector=lo});var $t=x(Zt=>{Zt.MESH_ANNOTATIONS={thumb:[1,2,3,4],indexFinger:[5,6,7,8],middleFinger:[9,10,11,12],ringFinger:[13,14,15,16],pinky:[17,18,19,20],palmBase:[0]}});var o0=x(K=>{function Jt(e){return e-2*Math.PI*Math.floor((e+Math.PI)/(2*Math.PI))}K.normalizeRadians=Jt;function ho(e,t){const n=Math.PI/2-Math.atan2(-(t[1]-e[1]),t[0]-e[0]);return Jt(n)}K.computeRotation=ho;const e0=(e,t)=>[[1,0,e],[0,1,t],[0,0,1]];function te(e,t){let n=0;for(let o=0;o<e.length;o++)n+=e[o]*t[o];return n}K.dot=te;function t0(e,t){const n=[];for(let o=0;o<e.length;o++)n.push(e[o][t]);return n}K.getColumnFrom2DArr=t0;function n0(e,t){const n=[],o=e.length;for(let i=0;i<o;i++){n.push([]);for(let s=0;s<o;s++)n[i].push(te(e[i],t0(t,s)))}return n}function uo(e,t){const n=Math.cos(e),o=Math.sin(e),i=[[n,-o,0],[o,n,0],[0,0,1]],s=e0(t[0],t[1]),r=n0(s,i),a=e0(-t[0],-t[1]);return n0(r,a)}K.buildRotationMatrix=uo;function mo(e){const t=[[e[0][0],e[1][0]],[e[0][1],e[1][1]]],n=[e[0][2],e[1][2]],o=[-te(t[0],n),-te(t[1],n)];return[t[0].concat(o[0]),t[1].concat(o[1]),[0,0,1]]}K.invertTransformMatrix=mo;function po(e,t){return[te(e,t[0]),te(e,t[1])]}K.rotatePoint=po});var a0=x(s0=>{const i0=require("@tensorflow/tfjs"),D=He(),Y=o0(),fo=.8,go=[0,-.4],bo=[0,-.1],yo=1.65,r0=[0,5,9,13,17,1,2],xo=0,wo=2;class Po{constructor(e,t,n){this.regionsOfInterest=[],this.runsWithoutHandDetector=0,this.boundingBoxDetector=e,this.meshDetector=t,this.meshWidth=n.inputSize,this.meshHeight=n.inputSize,this.enlargeFactor=n.enlargeFactor}getBoxForPalmLandmarks(e,t){const n=e.map(i=>{const s=[...i,1];return Y.rotatePoint(s,t)}),o=this.calculateLandmarksBoundingBox(n);return D.enlargeBox(D.squarifyBox(D.shiftBox(o,go)),this.enlargeFactor)}getBoxForHandLandmarks(e){const t=this.calculateLandmarksBoundingBox(e),n=D.enlargeBox(D.squarifyBox(D.shiftBox(t,bo)),yo),o=[];for(let i=0;i<r0.length;i++)o.push(e[r0[i]].slice(0,2));return n.palmLandmarks=o,n}transformRawCoords(e,t,n,o){const i=D.getBoxSize(t),s=[i[0]/this.meshWidth,i[1]/this.meshHeight],r=e.map(l=>[s[0]*(l[0]-this.meshWidth/2),s[1]*(l[1]-this.meshHeight/2),l[2]]),a=Y.buildRotationMatrix(n,[0,0]),c=r.map(l=>{const m=Y.rotatePoint(l,a);return[...m,l[2]]}),d=Y.invertTransformMatrix(o),u=[...D.getBoxCenter(t),1],h=[Y.dot(u,d[0]),Y.dot(u,d[1])];return c.map(l=>[l[0]+h[0],l[1]+h[1],l[2]])}async estimateHands(e,t){this.maxContinuousChecks=t.skipFrames,this.detectionConfidence=t.minConfidence,this.maxHands=t.maxHands,this.runsWithoutHandDetector++;const n=this.shouldUpdateRegionsOfInterest();if(n===!0){const i=await this.boundingBoxDetector.estimateHandBounds(e,t);this.regionsOfInterest=[];for(const s in i)this.updateRegionsOfInterest(i[s],!0,s);this.runsWithoutHandDetector=0}const o=[];if(!this.regionsOfInterest)return o;for(const i in this.regionsOfInterest){const s=this.regionsOfInterest[i][0];if(!s)return o;const r=Y.computeRotation(s.palmLandmarks[xo],s.palmLandmarks[wo]),a=D.getBoxCenter(s),c=[a[0]/e.shape[2],a[1]/e.shape[1]],d=i0.image.rotateWithOffset(e,r,0,c),u=Y.buildRotationMatrix(-r,a),h=n?this.getBoxForPalmLandmarks(s.palmLandmarks,u):s,l=D.cutBoxFromImageAndResize(h,d,[this.meshWidth,this.meshHeight]),m=l.div(255);l.dispose(),d.dispose();const p=this.meshDetector.predict(m),[P,b]=p;m.dispose();const M=P.dataSync()[0];if(P.dispose(),M<t.minConfidence)return b.dispose(),this.regionsOfInterest[i]=[],o;const w=i0.reshape(b,[-1,3]),O=await w.array();b.dispose(),w.dispose();const C=this.transformRawCoords(O,h,r,u),L=this.getBoxForHandLandmarks(C);this.updateRegionsOfInterest(L,!1,i);const pe={landmarks:C,confidence:M,box:{topLeft:L.startPoint,bottomRight:L.endPoint}};o.push(pe)}return o}calculateLandmarksBoundingBox(e){const t=e.map(s=>s[0]),n=e.map(s=>s[1]),o=[Math.min(...t),Math.min(...n)],i=[Math.max(...t),Math.max(...n)];return{startPoint:o,endPoint:i}}updateRegionsOfInterest(e,t,n){if(t)this.regionsOfInterest[n]=[e];else{const o=this.regionsOfInterest[n][0];let i=0;if(o!=null&&o.startPoint!=null){const[s,r]=e.startPoint,[a,c]=e.endPoint,[d,u]=o.startPoint,[h,l]=o.endPoint,m=Math.max(s,d),p=Math.max(r,u),P=Math.min(a,h),b=Math.min(c,l),M=(P-m)*(b-p),w=(a-s)*(c-r),O=(h-d)*(l-r);i=M/(w+O-M)}this.regionsOfInterest[n][0]=i>fo?o:e}}shouldUpdateRegionsOfInterest(){return!this.regionsOfInterest||this.regionsOfInterest.length===0||this.runsWithoutHandDetector>=this.skipFrames}}s0.HandPipeline=Po});var l0=x(qe=>{const G=require("@tensorflow/tfjs"),Mo=Qt(),c0=$t(),Eo=a0();class d0{constructor(e){this.pipeline=e}async estimateHands(e,t){this.skipFrames=t.skipFrames,this.detectionConfidence=t.minConfidence,this.maxHands=t.maxHands;const n=G.tidy(()=>(e instanceof G.Tensor||(e=G.browser.fromPixels(e)),e.toFloat().expandDims(0))),o=await this.pipeline.estimateHands(n,t);n.dispose();const i=[];if(!o)return i;for(const s of o){if(!s)return[];const r={};for(const a of Object.keys(c0.MESH_ANNOTATIONS))r[a]=c0.MESH_ANNOTATIONS[a].map(c=>s.landmarks[c]);i.push({confidence:s.confidence||0,box:s.box?[s.box.topLeft[0],s.box.topLeft[1],s.box.bottomRight[0]-s.box.topLeft[0],s.box.bottomRight[1]-s.box.topLeft[1]]:0,landmarks:s.landmarks,annotations:r})}return i}}qe.HandPose=d0;async function Io(e){if(G.env().features.IS_NODE){const t=require("fs"),n=await t.readFileSync(e.replace("file://",""));return JSON.parse(n)}return G.util.fetch(e).then(t=>t.json())}async function So(e){const[t,n,o]=await Promise.all([Io(e.detector.anchors),G.loadGraphModel(e.detector.modelPath,{fromTFHub:e.detector.modelPath.includes("tfhub.dev")}),G.loadGraphModel(e.skeleton.modelPath,{fromTFHub:e.skeleton.modelPath.includes("tfhub.dev")})]),i=new Mo.HandDetector(n,t,e),s=new Eo.HandPipeline(i,o,e),r=new d0(s);return r}qe.load=So});var h0=x(To=>{Qe(To,{default:()=>Bo});var Bo={backend:"webgl",console:!0,scoped:!1,face:{enabled:!0,detector:{modelPath:"../models/blazeface/back/model.json",inputSize:256,maxFaces:10,skipFrames:10,minConfidence:.5,iouThreshold:.3,scoreThreshold:.7},mesh:{enabled:!0,modelPath:"../models/facemesh/model.json",inputSize:192},iris:{enabled:!0,modelPath:"../models/iris/model.json",enlargeFactor:2.3,inputSize:64},age:{enabled:!0,modelPath:"../models/ssrnet-age/imdb/model.json",inputSize:64,skipFrames:10},gender:{enabled:!0,minConfidence:.8,modelPath:"../models/ssrnet-gender/imdb/model.json"},emotion:{enabled:!0,inputSize:64,minConfidence:.5,skipFrames:10,useGrayscale:!0,modelPath:"../models/emotion/model.json"}},body:{enabled:!0,modelPath:"../models/posenet/model.json",inputResolution:257,outputStride:16,maxDetections:10,scoreThreshold:.7,nmsRadius:20},hand:{enabled:!0,inputSize:256,skipFrames:10,minConfidence:.5,iouThreshold:.3,scoreThreshold:.7,enlargeFactor:1.65,maxHands:10,detector:{anchors:"../models/handdetect/anchors.json",modelPath:"../models/handdetect/model.json"},skeleton:{modelPath:"../models/handskeleton/model.json"}}}});var m0=x((ds,u0)=>{u0.exports={name:"@vladmandic/human",version:"0.3.8",description:"human: 3D Face Detection, Iris Tracking and Age & Gender Prediction",sideEffects:!1,main:"dist/human.cjs",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:{"@vladmandic/pilogger":"^0.2.6",dayjs:"^1.9.3","simple-git":"^2.21.0","@tensorflow/tfjs":"^2.6.0","@tensorflow/tfjs-node":"^2.6.0",esbuild:"^0.7.15",eslint:"^7.10.0","eslint-config-airbnb-base":"^14.2.0","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"},scripts:{start:"node --trace-warnings --unhandled-rejections=strict --trace-uncaught --no-deprecation demo/node.js",lint:"eslint src/*.js demo/*.js","build-iife":"esbuild --bundle --platform=browser --sourcemap --target=esnext --format=iife --minify --external:fs --global-name=human --metafile=dist/human.json --outfile=dist/human.js src/human.js","build-esm-bundle":"esbuild --bundle --platform=browser --sourcemap --target=esnext --format=esm --minify --external:fs --metafile=dist/human.esm.json --outfile=dist/human.esm.js src/human.js","build-esm-nobundle":"esbuild --bundle --platform=browser --sourcemap --target=esnext --format=esm --minify --external:@tensorflow --external:fs --metafile=dist/human.esm-nobundle.json --outfile=dist/human.esm-nobundle.js src/human.js","build-node":"esbuild --bundle --platform=node --sourcemap --target=esnext --format=cjs --external:@tensorflow --metafile=dist/human.cjs.json --outfile=dist/human.cjs src/human.js",build:"rimraf dist/* && npm run build-iife && npm run build-esm-bundle && npm run build-esm-nobundle && npm run build-node && ls -l dist/",update:"npm update --depth 20 && 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"]}});var x0=x(N=>{const T=require("@tensorflow/tfjs"),p0=ft(),me=bt(),f0=wt(),g0=Xt(),b0=l0(),je=h0().default,ko=m0();let f,A="idle";const I={facemesh:null,posenet:null,handpose:null,iris:null,age:null,gender:null,emotion:null},_o={face:{detector:{skipFrames:0},age:{skipFrames:0},emotion:{skipFrames:0}},hand:{skipFrames:0}},E=()=>typeof performance!="undefined"?performance.now():parseInt(Number(process.hrtime.bigint())/1e3/1e3),Q=(...e)=>{e&&f.console&&console.log(...e)};let y0=0;const No=!1,V=(...e)=>{if(!No)return;const t=T.engine().state.numTensors,n=y0;y0=t;const o=t-n;o!==0&&Q(...e,o)};function Ue(...e){const t=n=>n&&typeof n=="object";return e.reduce((n,o)=>(Object.keys(o||{}).forEach(i=>{const s=n[i],r=o[i];Array.isArray(s)&&Array.isArray(r)?n[i]=s.concat(...r):t(s)&&t(r)?n[i]=Ue(s,r):n[i]=r}),n),{})}function Ro(e){if(!e)return"input is not defined";if(T.ENV.flags.IS_BROWSER&&(e instanceof ImageData||e instanceof HTMLImageElement||e instanceof HTMLCanvasElement||e instanceof HTMLVideoElement||e instanceof HTMLMediaElement)){const t=e.naturalWidth||e.videoWidth||e.width||e.shape&&e.shape[1]>0;if(!t||t===0)return"input is empty"}if(T.ENV.flags.IS_BROWSER&&(e instanceof HTMLVideoElement||e instanceof HTMLMediaElement)&&(e.readyState&&e.readyState<=2))return"input is not ready";if(T.ENV.flags.IS_NODE&&!(e instanceof T.Tensor))return"input must be a tensor";try{T.getBackend()}catch{return"backend not loaded"}return null}async function zo(e){e&&(f=Ue(je,e)),f.face.enabled&&!I.facemesh&&(I.facemesh=await p0.load(f.face)),f.body.enabled&&!I.posenet&&(I.posenet=await g0.load(f.body)),f.hand.enabled&&!I.handpose&&(I.handpose=await b0.load(f.hand)),f.face.enabled&&f.face.age.enabled&&!I.age&&(I.age=await me.loadAge(f)),f.face.enabled&&f.face.gender.enabled&&!I.gender&&(I.gender=await me.loadGender(f)),f.face.enabled&&f.face.emotion.enabled&&!I.emotion&&(I.emotion=await f0.load(f))}async function Ao(e,t={}){A="config";const n={};let o;o=E();const i=T.ENV.flags.IS_NODE||T.ENV.flags.IS_BROWSER&&!(e instanceof HTMLVideoElement||e instanceof HTMLMediaElement);f=Ue(je,t,i?_o:{}),n.config=Math.trunc(E()-o),o=E(),A="check";const s=Ro(e);return s?(Q(s,e),{error:s}):(n.sanity=Math.trunc(E()-o),new Promise(async r=>{const a=E();o=E(),T.getBackend()!==f.backend&&(A="backend",Q("Human library setting backend:",f.backend),await T.setBackend(f.backend),await T.ready()),n.backend=Math.trunc(E()-o);const c=Object.values(I).filter(l=>l).length;c===0&&(Q("Human library starting"),Q("Configuration:",f),Q("Flags:",T.ENV.flags)),o=E(),A="load",await zo(),n.load=Math.trunc(E()-o),f.scoped&&T.engine().startScope(),V("Start Detect:"),A="run:body",o=E(),V("Start PoseNet");const d=f.body.enabled?await I.posenet.estimatePoses(e,f.body):[];V("End PoseNet:"),n.body=Math.trunc(E()-o),A="run:hand",o=E(),V("Start HandPose:");const u=f.hand.enabled?await I.handpose.estimateHands(e,f.hand):[];V("End HandPose:"),n.hand=Math.trunc(E()-o);const h=[];if(f.face.enabled){A="run:face",o=E(),V("Start FaceMesh:");const l=await I.facemesh.estimateFaces(e,f.face);n.face=Math.trunc(E()-o);for(const m of l){if(!m.image||m.image.isDisposedInternal){Q("face object is disposed:",m.image);continue}A="run:agegender",o=E();const p=f.face.age.enabled||f.face.gender.enabled?await me.predict(m.image,f):{};n.agegender=Math.trunc(E()-o),A="run:emotion",o=E();const P=f.face.emotion.enabled?await f0.predict(m.image,f):{};n.emotion=Math.trunc(E()-o),m.image.dispose();const b=m.annotations.leftEyeIris&&m.annotations.rightEyeIris?Math.max(m.annotations.leftEyeIris[3][0]-m.annotations.leftEyeIris[1][0],m.annotations.rightEyeIris[3][0]-m.annotations.rightEyeIris[1][0]):0;h.push({confidence:m.confidence,box:m.box,mesh:m.mesh,annotations:m.annotations,age:p.age,gender:p.gender,agConfidence:p.confidence,emotion:P,iris:b!==0?Math.trunc(100*11.7/b)/100:0})}V("End FaceMesh:")}A="idle",f.scoped&&T.engine().endScope(),V("End Scope:"),n.total=Math.trunc(E()-a),r({face:h,body:d,hand:u,performance:n})}))}N.detect=Ao;N.defaults=je;N.config=f;N.models=I;N.facemesh=p0;N.ssrnet=me;N.posenet=g0;N.handpose=b0;N.tf=T;N.version=ko.version;N.state=A});export default x0();
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