mirror of https://github.com/vladmandic/human
3 lines
67 KiB
JavaScript
3 lines
67 KiB
JavaScript
var Ve=Object.defineProperty;var b=(e,t)=>()=>(t||(t={exports:{}},e(t.exports,t)),t.exports),B0=e=>Ve(e,"__esModule",{value:!0}),Xe=(e,t)=>{B0(e);for(var n in t)Ve(e,n,{get:t[n],enumerable:!0})};var Je=b(se=>{const g=require("@tensorflow/tfjs"),Ge=6;function T0(e){const t={strides:[e/16,e/8],anchors:[2,6]},n=[];for(let o=0;o<t.strides.length;o++){const s=t.strides[o],i=Math.floor((e+s-1)/s),r=Math.floor((e+s-1)/s),a=t.anchors[o];for(let d=0;d<i;d++){const c=s*(d+.5);for(let h=0;h<r;h++){const p=s*(h+.5);for(let l=0;l<a;l++)n.push([p,c])}}}return n}const Qe=e=>{e.startEndTensor.dispose(),e.startPoint.dispose(),e.endPoint.dispose()},Ze=e=>({startEndTensor:e,startPoint:g.slice(e,[0,0],[-1,2]),endPoint:g.slice(e,[0,2],[-1,2])}),k0=(e,t)=>{const n=g.mul(e.startPoint,t),o=g.mul(e.endPoint,t),s=g.concat2d([n,o],1);return Ze(s)};function _0(e,t,n){const o=g.slice(e,[0,1],[-1,2]),s=g.add(o,t),i=g.slice(e,[0,3],[-1,2]),r=g.div(i,n),a=g.div(s,n),d=g.div(r,2),c=g.sub(a,d),h=g.add(a,d),p=g.mul(c,n),l=g.mul(h,n),m=1;return g.concat2d([p,l],m)}function N0(e,t){return g.tidy(()=>{const n=e.box?e.box:e;return k0(n,t).startEndTensor.squeeze()})}class $e{constructor(e,t){this.blazeFaceModel=e,this.width=t.detector.inputSize,this.height=t.detector.inputSize,this.maxFaces=t.detector.maxFaces,this.anchorsData=T0(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 c=e.resizeBilinear([this.width,this.height]),h=g.mul(g.sub(c.div(255),.5),2),p=this.blazeFaceModel.predict(h);let l;if(Array.isArray(p)){const P=p.sort((D,F)=>D.size-F.size),M=g.concat([P[0],P[2]],2),y=g.concat([P[1],P[3]],2),z=g.concat([y,M],1);l=z.squeeze(0)}else l=p.squeeze();const m=_0(l,this.anchors,this.inputSize),u=g.slice(l,[0,0],[-1,1]),w=g.sigmoid(u).squeeze();return[l,m,w]}),s=await g.image.nonMaxSuppressionAsync(n,o,this.maxFaces,this.iouThreshold,this.scoreThreshold),i=await s.array();s.dispose();const r=i.map(c=>g.slice(n,[c,0],[1,-1])),a=await Promise.all(r.map(async c=>{const h=await c.array();return c.dispose(),h})),d=[];for(let c=0;c<a.length;c++){const h=a[c],p=Ze(h),l=i[c],m=this.anchorsData[l],u=g.slice(t,[l,Ge-1],[1,-1]),w=u.squeeze(),P=w.reshape([Ge,-1]),M=g.slice(o,[l],[1]),y={box:p,landmarks:P,probability:M,anchor:m};d.push(y),u.dispose(),w.dispose()}return t.dispose(),n.dispose(),o.dispose(),t.dispose(),{boxes:d,scaleFactor:[e.shape[2]/this.width,e.shape[1]/this.height]}}async estimateFaces(e){const{boxes:t,scaleFactor:n}=await this.getBoundingBoxes(e);return Promise.all(t.map(async o=>{const s=N0(o,n),[i,r,a]=await Promise.all([o.landmarks,s,o.probability].map(async m=>m.array())),d=o.anchor,[c,h]=n,p=i.map(m=>[(m[0]+d[0])*c,(m[1]+d[1])*h]),l={topLeft:r.slice(0,2),bottomRight:r.slice(2),landmarks:p,probability:a};return Qe(o.box),o.landmarks.dispose(),o.probability.dispose(),s.dispose(),l}))}}async function z0(e){const t=await g.loadGraphModel(e.detector.modelPath,{fromTFHub:e.detector.modelPath.includes("tfhub.dev")}),n=new $e(t,e);return n}se.load=z0;se.BlazeFaceModel=$e;se.disposeBox=Qe});var pe=b(me=>{me.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]};me.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 et=b(X=>{const R0=require("@tensorflow/tfjs");function A0(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=A0;function fe(e){return[Math.abs(e.endPoint[0]-e.startPoint[0]),Math.abs(e.endPoint[1]-e.startPoint[1])]}X.getBoxSize=fe;function ge(e){return[e.startPoint[0]+(e.endPoint[0]-e.startPoint[0])/2,e.startPoint[1]+(e.endPoint[1]-e.startPoint[1])/2]}X.getBoxCenter=ge;function O0(e,t,n){const o=t.shape[1],s=t.shape[2],i=[[e.startPoint[1]/o,e.startPoint[0]/s,e.endPoint[1]/o,e.endPoint[0]/s]];return R0.image.cropAndResize(t,i,[0],n)}X.cutBoxFromImageAndResize=O0;function v0(e,t=1.5){const n=ge(e),o=fe(e),s=[t*o[0]/2,t*o[1]/2],i=[n[0]-s[0],n[1]-s[1]],r=[n[0]+s[0],n[1]+s[1]];return{startPoint:i,endPoint:r,landmarks:e.landmarks}}X.enlargeBox=v0;function D0(e){const t=ge(e),n=fe(e),o=Math.max(...n),s=o/2,i=[t[0]-s,t[1]-s],r=[t[0]+s,t[1]+s];return{startPoint:i,endPoint:r,landmarks:e.landmarks}}X.squarifyBox=D0});var it=b(k=>{k.IDENTITY_MATRIX=[[1,0,0],[0,1,0],[0,0,1]];function tt(e){return e-2*Math.PI*Math.floor((e+Math.PI)/(2*Math.PI))}k.normalizeRadians=tt;function F0(e,t){const n=Math.PI/2-Math.atan2(-(t[1]-e[1]),t[0]-e[0]);return tt(n)}k.computeRotation=F0;function C0(e){return e*180/Math.PI}k.radToDegrees=C0;function nt(e,t){return[[1,0,e],[0,1,t],[0,0,1]]}function Q(e,t){let n=0;for(let o=0;o<e.length;o++)n+=e[o]*t[o];return n}k.dot=Q;function ot(e,t){const n=[];for(let o=0;o<e.length;o++)n.push(e[o][t]);return n}k.getColumnFrom2DArr=ot;function st(e,t){const n=[],o=e.length;for(let s=0;s<o;s++){n.push([]);for(let i=0;i<o;i++)n[s].push(Q(e[s],ot(t,i)))}return n}function L0(e,t){const n=Math.cos(e),o=Math.sin(e),s=[[n,-o,0],[o,n,0],[0,0,1]],i=nt(t[0],t[1]),r=st(i,s),a=nt(-t[0],-t[1]);return st(r,a)}k.buildRotationMatrix=L0;function H0(e){const t=[[e[0][0],e[1][0]],[e[0][1],e[1][1]]],n=[e[0][2],e[1][2]],o=[-Q(t[0],n),-Q(t[1],n)];return[t[0].concat(o[0]),t[1].concat(o[1]),[0,0,1]]}k.invertTransformMatrix=H0;function q0(e,t){return[Q(e,t[0]),Q(e,t[1])]}k.rotatePoint=q0;function j0(e,t){return Math.sqrt((e[0]-t[0])**2+(e[1]-t[1])**2)}k.xyDistanceBetweenPoints=j0});var at=b(rt=>{const O=require("@tensorflow/tfjs"),R=et(),C=pe(),L=it(),U0=468,W0=.25,K0=13,Y0=[K0,C.MESH_ANNOTATIONS.midwayBetweenEyes[0]],V0=3,X0=2,G0=[V0,X0],be=C.MESH_ANNOTATIONS.leftEyeLower0,ye=[be[0],be[be.length-1]],xe=C.MESH_ANNOTATIONS.rightEyeLower0,we=[xe[0],xe[xe.length-1]],Q0=3,Z0=4,$0=71,Pe=76;function ie(e,t,n,o){for(let s=0;s<C.MESH_TO_IRIS_INDICES_MAP.length;s++){const{key:i,indices:r}=C.MESH_TO_IRIS_INDICES_MAP[s],a=C.MESH_ANNOTATIONS[`${n}${i}`],d=o==null;if(d||o.includes(i))for(let c=0;c<r.length;c++){const h=r[c];e[a[c]]=[t[h][0],t[h][1],(t[h][2]+e[a[c]][2])/2]}}}class J0{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 s=R.getBoxSize({startPoint:t.startPoint,endPoint:t.endPoint}),i=[s[0]/this.meshWidth,s[1]/this.meshHeight],r=e.map(l=>[i[0]*(l[0]-this.meshWidth/2),i[1]*(l[1]-this.meshHeight/2),l[2]]),a=L.buildRotationMatrix(n,[0,0]),d=r.map(l=>[...L.rotatePoint(l,a),l[2]]),c=L.invertTransformMatrix(o),h=[...R.getBoxCenter({startPoint:t.startPoint,endPoint:t.endPoint}),1],p=[L.dot(h,c[0]),L.dot(h,c[1])];return d.map(l=>[l[0]+p[0],l[1]+p[1],l[2]])}getLeftToRightEyeDepthDifference(e){const t=e[ye[0]][2],n=e[we[0]][2];return t-n}getEyeBox(e,t,n,o,s=!1){const i=R.squarifyBox(R.enlargeBox(this.calculateLandmarksBoundingBox([e[n],e[o]]),this.irisEnlarge)),r=R.getBoxSize(i);let a=O.image.cropAndResize(t,[[i.startPoint[1]/this.meshHeight,i.startPoint[0]/this.meshWidth,i.endPoint[1]/this.meshHeight,i.endPoint[0]/this.meshWidth]],[0],[this.irisSize,this.irisSize]);return s&&(a=O.image.flipLeftRight(a)),{box:i,boxSize:r,crop:a}}getEyeCoords(e,t,n,o=!1){const s=[];for(let i=0;i<Pe;i++){const r=e[i*3],a=e[i*3+1],d=e[i*3+2];s.push([(o?1-r/this.irisSize:r/this.irisSize)*n[0]+t.startPoint[0],a/this.irisSize*n[1]+t.startPoint[1],d])}return{rawCoords:s,iris:s.slice($0)}}getAdjustedIrisCoords(e,t,n){const o=e[C.MESH_ANNOTATIONS[`${n}EyeUpper0`][Q0]][2],s=e[C.MESH_ANNOTATIONS[`${n}EyeLower0`][Z0]][2],i=(o+s)/2;return t.map((r,a)=>{let d=i;return a===2?d=o:a===4&&(d=s),[r[0],r[1],d]})}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 s=o.boxes.map(i=>{const r=i.box.startPoint.squeeze(),a=i.box.endPoint.squeeze(),d={startPoint:r.arraySync(),endPoint:a.arraySync()};r.dispose(),a.dispose();const c=R.scaleBoxCoordinates(d,o.scaleFactor),h=R.enlargeBox(c),p=i.landmarks.arraySync();return i.box.startPoint.dispose(),i.box.endPoint.dispose(),i.landmarks.dispose(),i.probability.dispose(),{...h,landmarks:p}});this.updateRegionsOfInterest(s),this.runsWithoutFaceDetector=0}const n=O.tidy(()=>this.regionsOfInterest.map((o,s)=>{let i=0;const r=o.landmarks.length>=U0;let[a,d]=Y0;r===!1&&([a,d]=G0),i=L.computeRotation(o.landmarks[a],o.landmarks[d]);const c=R.getBoxCenter({startPoint:o.startPoint,endPoint:o.endPoint}),h=[c[0]/e.shape[2],c[1]/e.shape[1]];let p=e,l=L.IDENTITY_MATRIX;i!==0&&(p=O.image.rotateWithOffset(e,i,0,h),l=L.buildRotationMatrix(-i,c));const m={startPoint:o.startPoint,endPoint:o.endPoint},u=R.cutBoxFromImageAndResize(m,p,[this.meshHeight,this.meshWidth]).div(255),[,w,P]=this.meshDetector.predict(u),M=O.reshape(P,[-1,3]);let y=M.arraySync();if(t.iris.enabled){const{box:oe,boxSize:ue,crop:g0}=this.getEyeBox(y,u,ye[0],ye[1],!0),{box:b0,boxSize:y0,crop:x0}=this.getEyeBox(y,u,we[0],we[1]),je=this.irisModel.predict(O.concat([g0,x0])),Ue=je.dataSync();je.dispose();const w0=Ue.slice(0,Pe*3),{rawCoords:We,iris:P0}=this.getEyeCoords(w0,oe,ue,!0),M0=Ue.slice(Pe*3),{rawCoords:Ke,iris:E0}=this.getEyeCoords(M0,b0,y0),Ye=this.getLeftToRightEyeDepthDifference(y);Math.abs(Ye)<30?(ie(y,We,"left"),ie(y,Ke,"right")):Ye<1?ie(y,We,"left",["EyeUpper0","EyeLower0"]):ie(y,Ke,"right",["EyeUpper0","EyeLower0"]);const I0=this.getAdjustedIrisCoords(y,P0,"left"),S0=this.getAdjustedIrisCoords(y,E0,"right");y=y.concat(I0).concat(S0)}const z=this.transformRawCoords(y,o,i,l);O.dispose(y);const D=R.enlargeBox(this.calculateLandmarksBoundingBox(z)),F=w.squeeze();if(O.dispose(w),t.mesh.enabled){const oe=O.tensor2d(z);this.regionsOfInterest[s]={...D,landmarks:oe.arraySync()};const ue={coords:oe,box:D,confidence:F,image:u};return ue}const he={coords:null,box:D,confidence:F,image:u};return he}));return n}updateRegionsOfInterest(e){for(let t=0;t<e.length;t++){const n=e[t],o=this.regionsOfInterest[t];let s=0;if(o&&o.startPoint){const[i,r]=n.startPoint,[a,d]=n.endPoint,[c,h]=o.startPoint,[p,l]=o.endPoint,m=Math.max(i,c),u=Math.max(r,h),w=Math.min(a,p),P=Math.min(d,l),M=(w-m)*(P-u),y=(a-i)*(d-r),z=(p-c)*(l-r);s=M/(y+z-M)}s<W0&&(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(i=>i[0]),n=e.map(i=>i[1]),o=[Math.min(...t),Math.min(...n)],s=[Math.max(...t),Math.max(...n)];return{startPoint:o,endPoint:s,landmarks:e}}}rt.Pipeline=J0});var ct=b(dt=>{dt.UV_COORDS=[[.499976992607117,.652534008026123],[.500025987625122,.547487020492554],[.499974012374878,.602371990680695],[.482113003730774,.471979022026062],[.500150978565216,.527155995368958],[.499909996986389,.498252987861633],[.499523013830185,.40106201171875],[.289712011814117,.380764007568359],[.499954998493195,.312398016452789],[.499987006187439,.269918978214264],[.500023007392883,.107050001621246],[.500023007392883,.666234016418457],[.5000159740448,.679224014282227],[.500023007392883,.692348003387451],[.499976992607117,.695277988910675],[.499976992607117,.70593398809433],[.499976992607117,.719385027885437],[.499976992607117,.737019002437592],[.499967992305756,.781370997428894],[.499816000461578,.562981009483337],[.473773002624512,.573909997940063],[.104906998574734,.254140973091125],[.365929991006851,.409575998783112],[.338757991790771,.41302502155304],[.311120003461838,.409460008144379],[.274657994508743,.389131009578705],[.393361985683441,.403706014156342],[.345234006643295,.344011008739471],[.370094001293182,.346076011657715],[.319321990013123,.347265005111694],[.297903001308441,.353591024875641],[.24779200553894,.410809993743896],[.396889001131058,.842755019664764],[.280097991228104,.375599980354309],[.106310002505779,.399955987930298],[.2099249958992,.391353011131287],[.355807989835739,.534406006336212],[.471751004457474,.65040397644043],[.474155008792877,.680191993713379],[.439785003662109,.657229006290436],[.414617002010345,.66654098033905],[.450374007225037,.680860996246338],[.428770989179611,.682690978050232],[.374971002340317,.727805018424988],[.486716985702515,.547628998756409],[.485300987958908,.527395009994507],[.257764995098114,.314490020275116],[.401223003864288,.455172002315521],[.429818987846375,.548614978790283],[.421351999044418,.533740997314453],[.276895999908447,.532056987285614],[.483370006084442,.499586999416351],[.33721199631691,.282882988452911],[.296391993761063,.293242990970612],[.169294998049736,.193813979625702],[.447580009698868,.302609980106354],[.392390012741089,.353887975215912],[.354490011930466,.696784019470215],[.067304998636246,.730105042457581],[.442739009857178,.572826027870178],[.457098007202148,.584792017936707],[.381974011659622,.694710969924927],[.392388999462128,.694203019142151],[.277076005935669,.271932005882263],[.422551989555359,.563233017921448],[.385919004678726,.281364023685455],[.383103013038635,.255840003490448],[.331431001424789,.119714021682739],[.229923993349075,.232002973556519],[.364500999450684,.189113974571228],[.229622006416321,.299540996551514],[.173287004232407,.278747975826263],[.472878992557526,.666198015213013],[.446828007698059,.668527007102966],[.422762006521225,.673889994621277],[.445307999849319,.580065965652466],[.388103008270264,.693961024284363],[.403039008378983,.706539988517761],[.403629004955292,.693953037261963],[.460041999816895,.557139039039612],[.431158006191254,.692366003990173],[.452181994915009,.692366003990173],[.475387006998062,.692366003990173],[.465828001499176,.779190003871918],[.472328990697861,.736225962638855],[.473087012767792,.717857003211975],[.473122000694275,.704625964164734],[.473033010959625,.695277988910675],[.427942007780075,.695277988910675],[.426479011774063,.703539967536926],[.423162013292313,.711845993995667],[.4183090031147,.720062971115112],[.390094995498657,.639572978019714],[.013953999616206,.560034036636353],[.499913990497589,.58014702796936],[.413199990987778,.69539999961853],[.409626007080078,.701822996139526],[.468080013990402,.601534962654114],[.422728985548019,.585985004901886],[.463079988956451,.593783974647522],[.37211999297142,.47341400384903],[.334562003612518,.496073007583618],[.411671012639999,.546965003013611],[.242175996303558,.14767599105835],[.290776997804642,.201445996761322],[.327338010072708,.256527006626129],[.399509996175766,.748921036720276],[.441727995872498,.261676013469696],[.429764986038208,.187834024429321],[.412198007106781,.108901023864746],[.288955003023148,.398952007293701],[.218936994671822,.435410976409912],[.41278201341629,.398970007896423],[.257135003805161,.355440020561218],[.427684992551804,.437960982322693],[.448339998722076,.536936044692993],[.178560003638268,.45755398273468],[.247308000922203,.457193970680237],[.286267012357712,.467674970626831],[.332827985286713,.460712015628815],[.368755996227264,.447206974029541],[.398963987827301,.432654976844788],[.476410001516342,.405806005001068],[.189241006970406,.523923993110657],[.228962004184723,.348950982093811],[.490725994110107,.562400996685028],[.404670000076294,.485132992267609],[.019469000399113,.401564002037048],[.426243007183075,.420431017875671],[.396993011236191,.548797011375427],[.266469985246658,.376977026462555],[.439121007919312,.51895797252655],[.032313998788595,.644356966018677],[.419054001569748,.387154996395111],[.462783008813858,.505746960639954],[.238978996872902,.779744982719421],[.198220998048782,.831938028335571],[.107550002634525,.540755033493042],[.183610007166862,.740257024765015],[.134409993886948,.333683013916016],[.385764002799988,.883153975009918],[.490967005491257,.579378008842468],[.382384985685349,.508572995662689],[.174399003386497,.397670984268188],[.318785011768341,.39623498916626],[.343364000320435,.400596976280212],[.396100014448166,.710216999053955],[.187885001301765,.588537991046906],[.430987000465393,.944064974784851],[.318993002176285,.898285031318665],[.266247987747192,.869701027870178],[.500023007392883,.190576016902924],[.499976992607117,.954452991485596],[.366169989109039,.398822009563446],[.393207013607025,.39553701877594],[.410373002290726,.391080021858215],[.194993004202843,.342101991176605],[.388664990663528,.362284004688263],[.365961998701096,.355970978736877],[.343364000320435,.355356991291046],[.318785011768341,.35834002494812],[.301414996385574,.363156020641327],[.058132998645306,.319076001644135],[.301414996385574,.387449026107788],[.499987989664078,.618434011936188],[.415838003158569,.624195992946625],[.445681989192963,.566076993942261],[.465844005346298,.620640993118286],[.49992299079895,.351523995399475],[.288718998432159,.819945991039276],[.335278987884521,.852819979190826],[.440512001514435,.902418971061707],[.128294005990028,.791940987110138],[.408771991729736,.373893976211548],[.455606997013092,.451801002025604],[.499877005815506,.908990025520325],[.375436991453171,.924192011356354],[.11421000212431,.615022003650665],[.448662012815475,.695277988910675],[.4480200111866,.704632043838501],[.447111994028091,.715808033943176],[.444831997156143,.730794012546539],[.430011987686157,.766808986663818],[.406787008047104,.685672998428345],[.400738000869751,.681069016456604],[.392399996519089,.677703022956848],[.367855995893478,.663918972015381],[.247923001646996,.601333022117615],[.452769994735718,.420849978923798],[.43639200925827,.359887003898621],[.416164010763168,.368713974952698],[.413385987281799,.692366003990173],[.228018000721931,.683571994304657],[.468268007040024,.352671027183533],[.411361992359161,.804327011108398],[.499989002943039,.469825029373169],[.479153990745544,.442654013633728],[.499974012374878,.439637005329132],[.432112008333206,.493588984012604],[.499886006116867,.866917014122009],[.49991300702095,.821729004383087],[.456548988819122,.819200992584229],[.344549000263214,.745438992977142],[.37890899181366,.574010014533997],[.374292999505997,.780184984207153],[.319687992334366,.570737957954407],[.357154995203018,.604269981384277],[.295284003019333,.621580958366394],[.447750002145767,.862477004528046],[.410986006259918,.508723020553589],[.31395098567009,.775308012962341],[.354128003120422,.812552988529205],[.324548006057739,.703992962837219],[.189096003770828,.646299958229065],[.279776990413666,.71465802192688],[.1338230073452,.682700991630554],[.336768001317978,.644733011722565],[.429883986711502,.466521978378296],[.455527991056442,.548622965812683],[.437114000320435,.558896005153656],[.467287987470627,.529924988746643],[.414712011814117,.335219979286194],[.37704598903656,.322777986526489],[.344107985496521,.320150971412659],[.312875986099243,.32233202457428],[.283526003360748,.333190023899078],[.241245999932289,.382785975933075],[.102986000478268,.468762993812561],[.267612010240555,.424560010433197],[.297879010438919,.433175981044769],[.333433985710144,.433878004550934],[.366427004337311,.426115989685059],[.396012008190155,.416696012020111],[.420121014118195,.41022801399231],[.007561000064015,.480777025222778],[.432949006557465,.569517970085144],[.458638995885849,.479089021682739],[.473466008901596,.545744001865387],[.476087987422943,.563830018043518],[.468472003936768,.555056989192963],[.433990985155106,.582361996173859],[.483518004417419,.562983989715576],[.482482999563217,.57784903049469],[.42645001411438,.389798998832703],[.438998997211456,.39649498462677],[.450067013502121,.400434017181396],[.289712011814117,.368252992630005],[.276670008897781,.363372981548309],[.517862021923065,.471948027610779],[.710287988185883,.380764007568359],[.526226997375488,.573909997940063],[.895093023777008,.254140973091125],[.634069979190826,.409575998783112],[.661242008209229,.41302502155304],[.688880026340485,.409460008144379],[.725341975688934,.389131009578705],[.606630027294159,.40370500087738],[.654766023159027,.344011008739471],[.629905998706818,.346076011657715],[.680678009986877,.347265005111694],[.702096998691559,.353591024875641],[.75221198797226,.410804986953735],[.602918028831482,.842862963676453],[.719901978969574,.375599980354309],[.893692970275879,.399959981441498],[.790081977844238,.391354024410248],[.643998026847839,.534487962722778],[.528249025344849,.65040397644043],[.525849997997284,.680191040039062],[.560214996337891,.657229006290436],[.585384011268616,.66654098033905],[.549625992774963,.680860996246338],[.57122802734375,.682691991329193],[.624852001667023,.72809898853302],[.513050019741058,.547281980514526],[.51509702205658,.527251958847046],[.742246985435486,.314507007598877],[.598631024360657,.454979002475739],[.570338010787964,.548575043678284],[.578631997108459,.533622980117798],[.723087012767792,.532054007053375],[.516445994377136,.499638974666595],[.662801027297974,.282917976379395],[.70362401008606,.293271005153656],[.830704987049103,.193813979625702],[.552385985851288,.302568018436432],[.607609987258911,.353887975215912],[.645429015159607,.696707010269165],[.932694971561432,.730105042457581],[.557260990142822,.572826027870178],[.542901992797852,.584792017936707],[.6180260181427,.694710969924927],[.607590973377228,.694203019142151],[.722943007946014,.271963000297546],[.577413976192474,.563166975975037],[.614082992076874,.281386971473694],[.616907000541687,.255886018276215],[.668509006500244,.119913995265961],[.770092010498047,.232020974159241],[.635536015033722,.189248979091644],[.77039098739624,.299556016921997],[.826722025871277,.278755009174347],[.527121007442474,.666198015213013],[.553171992301941,.668527007102966],[.577238023281097,.673889994621277],[.554691970348358,.580065965652466],[.611896991729736,.693961024284363],[.59696102142334,.706539988517761],[.596370995044708,.693953037261963],[.539958000183105,.557139039039612],[.568841993808746,.692366003990173],[.547818005084991,.692366003990173],[.52461302280426,.692366003990173],[.534089982509613,.779141008853912],[.527670979499817,.736225962638855],[.526912987232208,.717857003211975],[.526877999305725,.704625964164734],[.526966989040375,.695277988910675],[.572058022022247,.695277988910675],[.573521018028259,.703539967536926],[.57683801651001,.711845993995667],[.581691026687622,.720062971115112],[.609944999217987,.639909982681274],[.986046016216278,.560034036636353],[.5867999792099,.69539999961853],[.590372025966644,.701822996139526],[.531915009021759,.601536989212036],[.577268004417419,.585934996604919],[.536915004253387,.593786001205444],[.627542972564697,.473352015018463],[.665585994720459,.495950996875763],[.588353991508484,.546862006187439],[.757824003696442,.14767599105835],[.709249973297119,.201507985591888],[.672684013843536,.256581008434296],[.600408971309662,.74900496006012],[.55826598405838,.261672019958496],[.570303976535797,.187870979309082],[.588165998458862,.109044015407562],[.711045026779175,.398952007293701],[.781069993972778,.435405015945435],[.587247014045715,.398931980133057],[.742869973182678,.355445981025696],[.572156012058258,.437651991844177],[.55186802148819,.536570012569427],[.821442008018494,.457556009292603],[.752701997756958,.457181990146637],[.71375697851181,.467626988887787],[.66711300611496,.460672974586487],[.631101012229919,.447153985500336],[.6008620262146,.432473003864288],[.523481011390686,.405627012252808],[.810747981071472,.523926019668579],[.771045982837677,.348959028720856],[.509127020835876,.562718033790588],[.595292985439301,.485023975372314],[.980530977249146,.401564002037048],[.573499977588654,.420000016689301],[.602994978427887,.548687994480133],[.733529984951019,.376977026462555],[.560611009597778,.519016981124878],[.967685997486115,.644356966018677],[.580985009670258,.387160003185272],[.537728011608124,.505385041236877],[.760966002941132,.779752969741821],[.801778972148895,.831938028335571],[.892440974712372,.54076099395752],[.816350996494293,.740260004997253],[.865594983100891,.333687007427216],[.614073991775513,.883246004581451],[.508952975273132,.579437971115112],[.617941975593567,.508316040039062],[.825608015060425,.397674977779388],[.681214988231659,.39623498916626],[.656635999679565,.400596976280212],[.603900015354156,.710216999053955],[.81208598613739,.588539004325867],[.56801301240921,.944564998149872],[.681007981300354,.898285031318665],[.733752012252808,.869701027870178],[.633830010890961,.398822009563446],[.606792986392975,.39553701877594],[.589659988880157,.391062021255493],[.805015981197357,.342108011245728],[.611334979534149,.362284004688263],[.634037971496582,.355970978736877],[.656635999679565,.355356991291046],[.681214988231659,.35834002494812],[.698584973812103,.363156020641327],[.941866993904114,.319076001644135],[.698584973812103,.387449026107788],[.584177017211914,.624107003211975],[.554318010807037,.566076993942261],[.534153997898102,.62064003944397],[.711217999458313,.819975018501282],[.664629995822906,.852871000766754],[.559099972248077,.902631998062134],[.871706008911133,.791940987110138],[.591234028339386,.373893976211548],[.544341027736664,.451583981513977],[.624562978744507,.924192011356354],[.88577002286911,.615028977394104],[.551338016986847,.695277988910675],[.551980018615723,.704632043838501],[.552887976169586,.715808033943176],[.555167973041534,.730794012546539],[.569944024085999,.767035007476807],[.593203008174896,.685675978660583],[.599261999130249,.681069016456604],[.607599973678589,.677703022956848],[.631937980651855,.663500010967255],[.752032995223999,.601315021514893],[.547226011753082,.420395016670227],[.563543975353241,.359827995300293],[.583841025829315,.368713974952698],[.586614012718201,.692366003990173],[.771915018558502,.683578014373779],[.531597018241882,.352482974529266],[.588370978832245,.804440975189209],[.52079701423645,.442565023899078],[.567984998226166,.493479013442993],[.543282985687256,.819254994392395],[.655317008495331,.745514988899231],[.621008992195129,.574018001556396],[.625559985637665,.78031200170517],[.680198013782501,.570719003677368],[.64276397228241,.604337990283966],[.704662978649139,.621529996395111],[.552012026309967,.862591981887817],[.589071989059448,.508637011051178],[.685944974422455,.775357007980347],[.645735025405884,.812640011310577],[.675342977046967,.703978002071381],[.810858011245728,.646304965019226],[.72012197971344,.714666962623596],[.866151988506317,.682704985141754],[.663187026977539,.644596993923187],[.570082008838654,.466325998306274],[.544561982154846,.548375964164734],[.562758982181549,.558784961700439],[.531987011432648,.530140042304993],[.585271000862122,.335177004337311],[.622952997684479,.32277899980545],[.655896008014679,.320163011550903],[.687132000923157,.322345972061157],[.716481983661652,.333200991153717],[.758756995201111,.382786989212036],[.897013008594513,.468769013881683],[.732392013072968,.424547016620636],[.70211398601532,.433162987232208],[.66652500629425,.433866024017334],[.633504986763,.426087975502014],[.603875994682312,.416586995124817],[.579657971858978,.409945011138916],[.992439985275269,.480777025222778],[.567192018032074,.569419980049133],[.54136598110199,.478899002075195],[.526564002037048,.546118021011353],[.523913025856018,.563830018043518],[.531529009342194,.555056989192963],[.566035985946655,.582329034805298],[.51631098985672,.563053965568542],[.5174720287323,.577877044677734],[.573594987392426,.389806985855103],[.560697972774506,.395331978797913],[.549755990505219,.399751007556915],[.710287988185883,.368252992630005],[.723330020904541,.363372981548309]]});var lt=b(en=>{Xe(en,{default:()=>tn});var tn=[127,34,139,11,0,37,232,231,120,72,37,39,128,121,47,232,121,128,104,69,67,175,171,148,157,154,155,118,50,101,73,39,40,9,151,108,48,115,131,194,204,211,74,40,185,80,42,183,40,92,186,230,229,118,202,212,214,83,18,17,76,61,146,160,29,30,56,157,173,106,204,194,135,214,192,203,165,98,21,71,68,51,45,4,144,24,23,77,146,91,205,50,187,201,200,18,91,106,182,90,91,181,85,84,17,206,203,36,148,171,140,92,40,39,193,189,244,159,158,28,247,246,161,236,3,196,54,68,104,193,168,8,117,228,31,189,193,55,98,97,99,126,47,100,166,79,218,155,154,26,209,49,131,135,136,150,47,126,217,223,52,53,45,51,134,211,170,140,67,69,108,43,106,91,230,119,120,226,130,247,63,53,52,238,20,242,46,70,156,78,62,96,46,53,63,143,34,227,173,155,133,123,117,111,44,125,19,236,134,51,216,206,205,154,153,22,39,37,167,200,201,208,36,142,100,57,212,202,20,60,99,28,158,157,35,226,113,160,159,27,204,202,210,113,225,46,43,202,204,62,76,77,137,123,116,41,38,72,203,129,142,64,98,240,49,102,64,41,73,74,212,216,207,42,74,184,169,170,211,170,149,176,105,66,69,122,6,168,123,147,187,96,77,90,65,55,107,89,90,180,101,100,120,63,105,104,93,137,227,15,86,85,129,102,49,14,87,86,55,8,9,100,47,121,145,23,22,88,89,179,6,122,196,88,95,96,138,172,136,215,58,172,115,48,219,42,80,81,195,3,51,43,146,61,171,175,199,81,82,38,53,46,225,144,163,110,246,33,7,52,65,66,229,228,117,34,127,234,107,108,69,109,108,151,48,64,235,62,78,191,129,209,126,111,35,143,163,161,246,117,123,50,222,65,52,19,125,141,221,55,65,3,195,197,25,7,33,220,237,44,70,71,139,122,193,245,247,130,33,71,21,162,153,158,159,170,169,150,188,174,196,216,186,92,144,160,161,2,97,167,141,125,241,164,167,37,72,38,12,145,159,160,38,82,13,63,68,71,226,35,111,158,153,154,101,50,205,206,92,165,209,198,217,165,167,97,220,115,218,133,112,243,239,238,241,214,135,169,190,173,133,171,208,32,125,44,237,86,87,178,85,86,179,84,85,180,83,84,181,201,83,182,137,93,132,76,62,183,61,76,184,57,61,185,212,57,186,214,207,187,34,143,156,79,239,237,123,137,177,44,1,4,201,194,32,64,102,129,213,215,138,59,166,219,242,99,97,2,94,141,75,59,235,24,110,228,25,130,226,23,24,229,22,23,230,26,22,231,112,26,232,189,190,243,221,56,190,28,56,221,27,28,222,29,27,223,30,29,224,247,30,225,238,79,20,166,59,75,60,75,240,147,177,215,20,79,166,187,147,213,112,233,244,233,128,245,128,114,188,114,217,174,131,115,220,217,198,236,198,131,134,177,132,58,143,35,124,110,163,7,228,110,25,356,389,368,11,302,267,452,350,349,302,303,269,357,343,277,452,453,357,333,332,297,175,152,377,384,398,382,347,348,330,303,304,270,9,336,337,278,279,360,418,262,431,304,408,409,310,415,407,270,409,410,450,348,347,422,430,434,313,314,17,306,307,375,387,388,260,286,414,398,335,406,418,364,367,416,423,358,327,251,284,298,281,5,4,373,374,253,307,320,321,425,427,411,421,313,18,321,405,406,320,404,405,315,16,17,426,425,266,377,400,369,322,391,269,417,465,464,386,257,258,466,260,388,456,399,419,284,332,333,417,285,8,346,340,261,413,441,285,327,460,328,355,371,329,392,439,438,382,341,256,429,420,360,364,394,379,277,343,437,443,444,283,275,440,363,431,262,369,297,338,337,273,375,321,450,451,349,446,342,467,293,334,282,458,461,462,276,353,383,308,324,325,276,300,293,372,345,447,382,398,362,352,345,340,274,1,19,456,248,281,436,427,425,381,256,252,269,391,393,200,199,428,266,330,329,287,273,422,250,462,328,258,286,384,265,353,342,387,259,257,424,431,430,342,353,276,273,335,424,292,325,307,366,447,345,271,303,302,423,266,371,294,455,460,279,278,294,271,272,304,432,434,427,272,407,408,394,430,431,395,369,400,334,333,299,351,417,168,352,280,411,325,319,320,295,296,336,319,403,404,330,348,349,293,298,333,323,454,447,15,16,315,358,429,279,14,15,316,285,336,9,329,349,350,374,380,252,318,402,403,6,197,419,318,319,325,367,364,365,435,367,397,344,438,439,272,271,311,195,5,281,273,287,291,396,428,199,311,271,268,283,444,445,373,254,339,263,466,249,282,334,296,449,347,346,264,447,454,336,296,299,338,10,151,278,439,455,292,407,415,358,371,355,340,345,372,390,249,466,346,347,280,442,443,282,19,94,370,441,442,295,248,419,197,263,255,359,440,275,274,300,383,368,351,412,465,263,467,466,301,368,389,380,374,386,395,378,379,412,351,419,436,426,322,373,390,388,2,164,393,370,462,461,164,0,267,302,11,12,374,373,387,268,12,13,293,300,301,446,261,340,385,384,381,330,266,425,426,423,391,429,355,437,391,327,326,440,457,438,341,382,362,459,457,461,434,430,394,414,463,362,396,369,262,354,461,457,316,403,402,315,404,403,314,405,404,313,406,405,421,418,406,366,401,361,306,408,407,291,409,408,287,410,409,432,436,410,434,416,411,264,368,383,309,438,457,352,376,401,274,275,4,421,428,262,294,327,358,433,416,367,289,455,439,462,370,326,2,326,370,305,460,455,254,449,448,255,261,446,253,450,449,252,451,450,256,452,451,341,453,452,413,464,463,441,413,414,258,442,441,257,443,442,259,444,443,260,445,444,467,342,445,459,458,250,289,392,290,290,328,460,376,433,435,250,290,392,411,416,433,341,463,464,453,464,465,357,465,412,343,412,399,360,363,440,437,399,456,420,456,363,401,435,288,372,383,353,339,255,249,448,261,255,133,243,190,133,155,112,33,246,247,33,130,25,398,384,286,362,398,414,362,463,341,263,359,467,263,249,255,466,467,260,75,60,166,238,239,79,162,127,139,72,11,37,121,232,120,73,72,39,114,128,47,233,232,128,103,104,67,152,175,148,173,157,155,119,118,101,74,73,40,107,9,108,49,48,131,32,194,211,184,74,185,191,80,183,185,40,186,119,230,118,210,202,214,84,83,17,77,76,146,161,160,30,190,56,173,182,106,194,138,135,192,129,203,98,54,21,68,5,51,4,145,144,23,90,77,91,207,205,187,83,201,18,181,91,182,180,90,181,16,85,17,205,206,36,176,148,140,165,92,39,245,193,244,27,159,28,30,247,161,174,236,196,103,54,104,55,193,8,111,117,31,221,189,55,240,98,99,142,126,100,219,166,218,112,155,26,198,209,131,169,135,150,114,47,217,224,223,53,220,45,134,32,211,140,109,67,108,146,43,91,231,230,120,113,226,247,105,63,52,241,238,242,124,46,156,95,78,96,70,46,63,116,143,227,116,123,111,1,44,19,3,236,51,207,216,205,26,154,22,165,39,167,199,200,208,101,36,100,43,57,202,242,20,99,56,28,157,124,35,113,29,160,27,211,204,210,124,113,46,106,43,204,96,62,77,227,137,116,73,41,72,36,203,142,235,64,240,48,49,64,42,41,74,214,212,207,183,42,184,210,169,211,140,170,176,104,105,69,193,122,168,50,123,187,89,96,90,66,65,107,179,89,180,119,101,120,68,63,104,234,93,227,16,15,85,209,129,49,15,14,86,107,55,9,120,100,121,153,145,22,178,88,179,197,6,196,89,88,96,135,138,136,138,215,172,218,115,219,41,42,81,5,195,51,57,43,61,208,171,199,41,81,38,224,53,225,24,144,110,105,52,66,118,229,117,227,34,234,66,107,69,10,109,151,219,48,235,183,62,191,142,129,126,116,111,143,7,163,246,118,117,50,223,222,52,94,19,141,222,221,65,196,3,197,45,220,44,156,70,139,188,122,245,139,71,162,145,153,159,149,170,150,122,188,196,206,216,92,163,144,161,164,2,167,242,141,241,0,164,37,11,72,12,144,145,160,12,38,13,70,63,71,31,226,111,157,158,154,36,101,205,203,206,165,126,209,217,98,165,97,237,220,218,237,239,241,210,214,169,140,171,32,241,125,237,179,86,178,180,85,179,181,84,180,182,83,181,194,201,182,177,137,132,184,76,183,185,61,184,186,57,185,216,212,186,192,214,187,139,34,156,218,79,237,147,123,177,45,44,4,208,201,32,98,64,129,192,213,138,235,59,219,141,242,97,97,2,141,240,75,235,229,24,228,31,25,226,230,23,229,231,22,230,232,26,231,233,112,232,244,189,243,189,221,190,222,28,221,223,27,222,224,29,223,225,30,224,113,247,225,99,60,240,213,147,215,60,20,166,192,187,213,243,112,244,244,233,245,245,128,188,188,114,174,134,131,220,174,217,236,236,198,134,215,177,58,156,143,124,25,110,7,31,228,25,264,356,368,0,11,267,451,452,349,267,302,269,350,357,277,350,452,357,299,333,297,396,175,377,381,384,382,280,347,330,269,303,270,151,9,337,344,278,360,424,418,431,270,304,409,272,310,407,322,270,410,449,450,347,432,422,434,18,313,17,291,306,375,259,387,260,424,335,418,434,364,416,391,423,327,301,251,298,275,281,4,254,373,253,375,307,321,280,425,411,200,421,18,335,321,406,321,320,405,314,315,17,423,426,266,396,377,369,270,322,269,413,417,464,385,386,258,248,456,419,298,284,333,168,417,8,448,346,261,417,413,285,326,327,328,277,355,329,309,392,438,381,382,256,279,429,360,365,364,379,355,277,437,282,443,283,281,275,363,395,431,369,299,297,337,335,273,321,348,450,349,359,446,467,283,293,282,250,458,462,300,276,383,292,308,325,283,276,293,264,372,447,346,352,340,354,274,19,363,456,281,426,436,425,380,381,252,267,269,393,421,200,428,371,266,329,432,287,422,290,250,328,385,258,384,446,265,342,386,387,257,422,424,430,445,342,276,422,273,424,306,292,307,352,366,345,268,271,302,358,423,371,327,294,460,331,279,294,303,271,304,436,432,427,304,272,408,395,394,431,378,395,400,296,334,299,6,351,168,376,352,411,307,325,320,285,295,336,320,319,404,329,330,349,334,293,333,366,323,447,316,15,315,331,358,279,317,14,316,8,285,9,277,329,350,253,374,252,319,318,403,351,6,419,324,318,325,397,367,365,288,435,397,278,344,439,310,272,311,248,195,281,375,273,291,175,396,199,312,311,268,276,283,445,390,373,339,295,282,296,448,449,346,356,264,454,337,336,299,337,338,151,294,278,455,308,292,415,429,358,355,265,340,372,388,390,466,352,346,280,295,442,282,354,19,370,285,441,295,195,248,197,457,440,274,301,300,368,417,351,465,251,301,389,385,380,386,394,395,379,399,412,419,410,436,322,387,373,388,326,2,393,354,370,461,393,164,267,268,302,12,386,374,387,312,268,13,298,293,301,265,446,340,380,385,381,280,330,425,322,426,391,420,429,437,393,391,326,344,440,438,458,459,461,364,434,394,428,396,262,274,354,457,317,316,402,316,315,403,315,314,404,314,313,405,313,421,406,323,366,361,292,306,407,306,291,408,291,287,409,287,432,410,427,434,411,372,264,383,459,309,457,366,352,401,1,274,4,418,421,262,331,294,358,435,433,367,392,289,439,328,462,326,94,2,370,289,305,455,339,254,448,359,255,446,254,253,449,253,252,450,252,256,451,256,341,452,414,413,463,286,441,414,286,258,441,258,257,442,257,259,443,259,260,444,260,467,445,309,459,250,305,289,290,305,290,460,401,376,435,309,250,392,376,411,433,453,341,464,357,453,465,343,357,412,437,343,399,344,360,440,420,437,456,360,420,363,361,401,288,265,372,353,390,339,249,339,448,255]});var mt=b(J=>{const Me=require("@tensorflow/tfjs"),nn=Je(),ht=pe(),on=at(),sn=ct(),rn=lt().default;class ut{constructor(e,t,n,o){this.pipeline=new on.Pipeline(e,t,n,o),o&&(this.config=o)}async estimateFaces(e,t){t&&(this.config=t);const n=await this.pipeline.predict(e,t),o=[];for(const s of n||[]){if(s.isDisposedInternal)continue;const i=s.confidence.arraySync();if(i>=this.config.detector.minConfidence){const r=s.coords?s.coords.arraySync():null,a={};if(r&&r.length>0)for(const d in ht.MESH_ANNOTATIONS)(this.config.iris.enabled||d.includes("Iris")===!1)&&(a[d]=ht.MESH_ANNOTATIONS[d].map(c=>r[c]));o.push({confidence:i||0,box:s.box?[s.box.startPoint[0],s.box.startPoint[1],s.box.endPoint[0]-s.box.startPoint[0],s.box.endPoint[1]-s.box.startPoint[1]]:0,mesh:r,annotations:a,image:s.image?Me.clone(s.image):null})}s.confidence&&s.confidence.dispose(),s.coords&&s.coords.dispose(),s.image&&s.image.dispose()}return o}}async function an(e){const t=await Promise.all([nn.load(e),Me.loadGraphModel(e.mesh.modelPath,{fromTFHub:e.mesh.modelPath.includes("tfhub.dev")}),Me.loadGraphModel(e.iris.modelPath,{fromTFHub:e.iris.modelPath.includes("tfhub.dev")})]),n=new ut(t[0],t[1],t[2],e);return n}J.load=an;J.MediaPipeFaceMesh=ut;J.uv_coords=sn;J.triangulation=rn});var ft=b(re=>{const H=require("@tensorflow/tfjs"),q={};let pt={age:0,gender:""},Ee=0;async function dn(e){return q.age||(q.age=await H.loadGraphModel(e.face.age.modelPath)),q.age}async function cn(e){return q.gender||(q.gender=await H.loadGraphModel(e.face.gender.modelPath)),q.gender}async function ln(e,t){if(Ee<t.face.age.skipFrames)return Ee+=1,pt;Ee=0;const n=H.image.resizeBilinear(e,[t.face.age.inputSize,t.face.age.inputSize],!1),o=H.mul(n,[255]);H.dispose(n);const s=[];let i,r;t.face.age.enabled&&s.push(i=q.age.predict(o)),t.face.gender.enabled&&s.push(r=q.gender.predict(o)),await Promise.all(s);const a={};if(i){const d=await i.data();a.age=Math.trunc(10*d[0])/10,H.dispose(i)}if(r){const d=await r.data(),c=Math.trunc(Math.abs(1.9*100*(d[0]-.5)))/100;c>t.face.gender.minConfidence&&(a.gender=d[0]<=.5?"female":"male",a.confidence=c),H.dispose(r)}return H.dispose(o),pt=a,a}re.predict=ln;re.loadAge=dn;re.loadGender=cn});var yt=b(Ie=>{const v=require("@tensorflow/tfjs"),hn=["angry","discust","fear","happy","sad","surpise","neutral"],ae={};let gt=[],Se=0;const bt=1.5;async function un(e){return ae.emotion||(ae.emotion=await v.loadGraphModel(e.face.emotion.modelPath)),ae.emotion}async function mn(e,t){if(Se<t.face.emotion.skipFrames)return Se+=1,gt;Se=0;const n=v.image.resizeBilinear(e,[t.face.emotion.inputSize,t.face.emotion.inputSize],!1),[o,s,i]=v.split(n,3,3);n.dispose();const r=v.mul(o,[.2989]),a=v.mul(s,[.587]),d=v.mul(i,[.114]);o.dispose(),s.dispose(),i.dispose();const c=v.addN([r,a,d]);r.dispose(),a.dispose(),d.dispose();const h=[];if(t.face.emotion.enabled){const p=await ae.emotion.predict(c),l=await p.data();for(let m=0;m<l.length;m++)bt*l[m]>t.face.emotion.minConfidence&&h.push({score:Math.min(.99,Math.trunc(100*bt*l[m])/100),emotion:hn[m]});h.sort((m,u)=>u.score-m.score),v.dispose(p)}return v.dispose(c),gt=h,h}Ie.predict=mn;Ie.load=un});var Pt=b(xt=>{const wt=require("@tensorflow/tfjs");class pn{constructor(e,t){this.model=e,this.outputStride=t;const n=this.model.inputs[0].shape;wt.util.assert(n[1]===-1&&n[2]===-1,()=>`Input shape [${n[1]}, ${n[2]}] must both be equal to or -1`)}predict(e){return wt.tidy(()=>{const t=this.preprocessInput(e.toFloat()),n=t.expandDims(0),o=this.model.predict(n),s=o.map(r=>r.squeeze([0])),i=this.nameOutputResults(s);return{heatmapScores:i.heatmap.sigmoid(),offsets:i.offsets,displacementFwd:i.displacementFwd,displacementBwd:i.displacementBwd}})}dispose(){this.model.dispose()}}xt.BaseModel=pn});var Be=b(Mt=>{const Et=require("@tensorflow/tfjs"),fn=Pt();class gn extends fn.BaseModel{preprocessInput(e){return Et.tidy(()=>Et.div(e,127.5).sub(1))}nameOutputResults(e){const[t,n,o,s]=e;return{offsets:t,heatmap:n,displacementFwd:o,displacementBwd:s}}}Mt.MobileNet=gn});var St=b(It=>{function Te(e){return Math.floor(e/2)}class bn{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(Te(e),e);)this.exchange(e,Te(e)),e=Te(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}}It.MaxHeap=bn});var Tt=b(Bt=>{const yn=St();function xn(e,t,n,o,s,i){const[r,a]=i.shape;let d=!0;const c=Math.max(n-s,0),h=Math.min(n+s+1,r);for(let p=c;p<h;++p){const l=Math.max(o-s,0),m=Math.min(o+s+1,a);for(let u=l;u<m;++u)if(i.get(p,u,e)>t){d=!1;break}if(!d)break}return d}function wn(e,t,n){const[o,s,i]=n.shape,r=new yn.MaxHeap(o*s*i,({score:a})=>a);for(let a=0;a<o;++a)for(let d=0;d<s;++d)for(let c=0;c<i;++c){const h=n.get(a,d,c);if(h<e)continue;xn(c,h,a,d,t,n)&&r.enqueue({score:h,part:{heatmapY:a,heatmapX:d,id:c}})}return r}Bt.buildPartWithScoreQueue=wn});var ee=b(_=>{_.partNames=["nose","leftEye","rightEye","leftEar","rightEar","leftShoulder","rightShoulder","leftElbow","rightElbow","leftWrist","rightWrist","leftHip","rightHip","leftKnee","rightKnee","leftAnkle","rightAnkle"];_.NUM_KEYPOINTS=_.partNames.length;_.partIds=_.partNames.reduce((e,t,n)=>(e[t]=n,e),{});const Pn=[["leftHip","leftShoulder"],["leftElbow","leftShoulder"],["leftElbow","leftWrist"],["leftHip","leftKnee"],["leftKnee","leftAnkle"],["rightHip","rightShoulder"],["rightElbow","rightShoulder"],["rightElbow","rightWrist"],["rightHip","rightKnee"],["rightKnee","rightAnkle"],["leftShoulder","rightShoulder"],["leftHip","rightHip"]];_.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"]];_.connectedPartIndices=Pn.map(([e,t])=>[_.partIds[e],_.partIds[t]]);_.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 _e=b(j=>{const Mn=ee();function kt(e,t,n,o){return{y:o.get(e,t,n),x:o.get(e,t,n+Mn.NUM_KEYPOINTS)}}j.getOffsetPoint=kt;function En(e,t,n){const{heatmapY:o,heatmapX:s,id:i}=e,{y:r,x:a}=kt(o,s,i,n);return{x:e.heatmapX*t+a,y:e.heatmapY*t+r}}j.getImageCoords=En;function In(e,t){const n=new Array(t);for(let o=0;o<t;o++)n[o]=e;return n}j.fillArray=In;function ke(e,t,n){return e<t?t:e>n?n:e}j.clamp=ke;function Sn(e,t,n,o){const s=n-e,i=o-t;return s*s+i*i}j.squaredDistance=Sn;function Bn(e,t){return{x:e.x+t.x,y:e.y+t.y}}j.addVectors=Bn;function Tn(e,t,n){return{y:ke(e.y,t,n),x:ke(e.x,t,n)}}j.clampVector=Tn});var At=b(_t=>{const te=ee(),Z=_e(),Nt=te.poseChain.map(([e,t])=>[te.partIds[e],te.partIds[t]]),Ne=Nt.map(([,e])=>e),zt=Nt.map(([e])=>e);function kn(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 ze(e,t,n,o){return{y:Z.clamp(Math.round(e.y/t),0,n-1),x:Z.clamp(Math.round(e.x/t),0,o-1)}}function Rt(e,t,n,o,s,i,r,a=2){const[d,c]=o.shape,h=ze(t.position,i,d,c),p=kn(e,h,r),l=Z.addVectors(t.position,p);let m=l;for(let P=0;P<a;P++){const M=ze(m,i,d,c),y=Z.getOffsetPoint(M.y,M.x,n,s);m=Z.addVectors({x:M.x*i,y:M.y*i},{x:y.x,y:y.y})}const u=ze(m,i,d,c),w=o.get(u.y,u.x,n);return{position:m,part:te.partNames[n],score:w}}function _n(e,t,n,o,s,i){const r=t.shape[2],a=Ne.length,d=new Array(r),{part:c,score:h}=e,p=Z.getImageCoords(c,o,n);d[c.id]={score:h,part:te.partNames[c.id],position:p};for(let l=a-1;l>=0;--l){const m=Ne[l],u=zt[l];d[m]&&!d[u]&&(d[u]=Rt(l,d[m],u,t,n,o,i))}for(let l=0;l<a;++l){const m=zt[l],u=Ne[l];d[m]&&!d[u]&&(d[u]=Rt(l,d[m],u,t,n,o,s))}return d}_t.decodePose=_n});var Re=b(Ot=>{const Nn=Tt(),zn=At(),vt=_e();function Dt(e,t,{x:n,y:o},s){return e.some(({keypoints:i})=>{const r=i[s].position;return vt.squaredDistance(o,n,r.y,r.x)<=t})}function Rn(e,t,n){const o=n.reduce((s,{position:i,score:r},a)=>(Dt(e,t,i,a)||(s+=r),s),0);return o/n.length}const An=1;function On(e,t,n,o,s,i,r=.5,a=20){const d=[],c=Nn.buildPartWithScoreQueue(r,An,e),h=a*a;for(;d.length<i&&!c.empty();){const p=c.dequeue(),l=vt.getImageCoords(p.part,s,t);if(Dt(d,h,l,p.part.id))continue;const m=zn.decodePose(p,e,t,s,n,o),u=Rn(d,h,m);d.push({keypoints:m,score:u})}return d}Ot.decodeMultiplePoses=On});var Ae=b(U=>{const vn=ee();function Dn(e,t,n){return e<n||t<n}function Fn(e,t){return vn.connectedPartIndices.reduce((n,[o,s])=>(Dn(e[o].score,e[s].score,t)||n.push([e[o],e[s]]),n),[])}U.getAdjacentKeyPoints=Fn;const{NEGATIVE_INFINITY:Ft,POSITIVE_INFINITY:Ct}=Number;function Lt(e){return e.reduce(({maxX:t,maxY:n,minX:o,minY:s},{position:{x:i,y:r}})=>({maxX:Math.max(t,i),maxY:Math.max(n,r),minX:Math.min(o,i),minY:Math.min(s,r)}),{maxX:Ft,maxY:Ft,minX:Ct,minY:Ct})}U.getBoundingBox=Lt;function Cn(e){const{minX:t,minY:n,maxX:o,maxY:s}=Lt(e);return[{x:t,y:n},{x:o,y:n},{x:o,y:s},{x:t,y:s}]}U.getBoundingBoxPoints=Cn;async function Ln(e){return Promise.all(e.map(t=>t.buffer()))}U.toTensorBuffers3D=Ln;function Ht(e,t,n){return{score:e.score,keypoints:e.keypoints.map(({score:o,part:s,position:i})=>({score:o,part:s,position:{x:i.x*n,y:i.y*t}}))}}U.scalePose=Ht;function Hn(e,[t,n]){const o=e.squeeze(0),s=o.resizeBilinear([t,n]);return o.dispose(),s}U.resizeTo=Hn;function qn(e,[t,n],[o,s]){const i=e.map(r=>Ht(r,t/o,n/s));return i}U.scaleAndFlipPoses=qn});var jt=b(Oe=>{const jn=require("@tensorflow/tfjs"),Un=Be(),Wn=Re(),ve=Ae();class qt{constructor(e){this.baseModel=e}async estimatePoses(e,t){const n=t.outputStride,o=e.shape[1],s=e.shape[2],i=ve.resizeTo(e,[t.inputResolution,t.inputResolution]),{heatmapScores:r,offsets:a,displacementFwd:d,displacementBwd:c}=this.baseModel.predict(i),h=await ve.toTensorBuffers3D([r,a,d,c]),p=h[0],l=h[1],m=h[2],u=h[3],w=await Wn.decodeMultiplePoses(p,l,m,u,n,t.maxDetections,t.scoreThreshold,t.nmsRadius),P=ve.scaleAndFlipPoses(w,[o,s],[t.inputResolution,t.inputResolution]);return r.dispose(),a.dispose(),d.dispose(),c.dispose(),i.dispose(),P}dispose(){this.baseModel.dispose()}}Oe.PoseNet=qt;async function Kn(e){const t=await jn.loadGraphModel(e.modelPath),n=new Un.MobileNet(t,e.outputStride);return new qt(n)}async function Yn(e){return Kn(e)}Oe.load=Yn});var Wt=b(B=>{const Vn=Be(),Ut=jt(),Xn=Re(),de=ee(),ne=Ae();B.load=Ut.load;B.PoseNet=Ut.PoseNet;B.MobileNet=Vn.MobileNet;B.decodeMultiplePoses=Xn.decodeMultiplePoses;B.partChannels=de.partChannels;B.partIds=de.partIds;B.partNames=de.partNames;B.poseChain=de.poseChain;B.getAdjacentKeyPoints=ne.getAdjacentKeyPoints;B.getBoundingBox=ne.getBoundingBox;B.getBoundingBoxPoints=ne.getBoundingBoxPoints;B.scaleAndFlipPoses=ne.scaleAndFlipPoses;B.scalePose=ne.scalePose});var Ce=b(W=>{const Gn=require("@tensorflow/tfjs");function De(e){return[Math.abs(e.endPoint[0]-e.startPoint[0]),Math.abs(e.endPoint[1]-e.startPoint[1])]}W.getBoxSize=De;function Fe(e){return[e.startPoint[0]+(e.endPoint[0]-e.startPoint[0])/2,e.startPoint[1]+(e.endPoint[1]-e.startPoint[1])/2]}W.getBoxCenter=Fe;function Qn(e,t,n){const o=t.shape[1],s=t.shape[2],i=[[e.startPoint[1]/o,e.startPoint[0]/s,e.endPoint[1]/o,e.endPoint[0]/s]];return Gn.image.cropAndResize(t,i,[0],n)}W.cutBoxFromImageAndResize=Qn;function Zn(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]],s=e.palmLandmarks.map(i=>{const r=[i[0]*t[0],i[1]*t[1]];return r});return{startPoint:n,endPoint:o,palmLandmarks:s}}W.scaleBoxCoordinates=Zn;function $n(e,t=1.5){const n=Fe(e),o=De(e),s=[t*o[0]/2,t*o[1]/2],i=[n[0]-s[0],n[1]-s[1]],r=[n[0]+s[0],n[1]+s[1]];return{startPoint:i,endPoint:r,palmLandmarks:e.palmLandmarks}}W.enlargeBox=$n;function Jn(e){const t=Fe(e),n=De(e),o=Math.max(...n),s=o/2,i=[t[0]-s,t[1]-s],r=[t[0]+s,t[1]+s];return{startPoint:i,endPoint:r,palmLandmarks:e.palmLandmarks}}W.squarifyBox=Jn;function eo(e,t){const n=[e.endPoint[0]-e.startPoint[0],e.endPoint[1]-e.startPoint[1]],o=[n[0]*t[0],n[1]*t[1]],s=[e.startPoint[0]+o[0],e.startPoint[1]+o[1]],i=[e.endPoint[0]+o[0],e.endPoint[1]+o[1]];return{startPoint:s,endPoint:i,palmLandmarks:e.palmLandmarks}}W.shiftBox=eo});var Yt=b(Kt=>{const x=require("@tensorflow/tfjs"),to=Ce();class no{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=x.tensor2d(this.anchors),this.inputSizeTensor=x.tensor1d([n.inputSize,n.inputSize]),this.doubleInputSizeTensor=x.tensor1d([n.inputSize*2,n.inputSize*2])}normalizeBoxes(e){return x.tidy(()=>{const t=x.slice(e,[0,0],[-1,2]),n=x.slice(e,[0,2],[-1,2]),o=x.add(x.div(t,this.inputSizeTensor),this.anchorsTensor),s=x.div(n,this.doubleInputSizeTensor),i=x.mul(x.sub(o,s),this.inputSizeTensor),r=x.mul(x.add(o,s),this.inputSizeTensor);return x.concat2d([i,r],1)})}normalizeLandmarks(e,t){return x.tidy(()=>{const n=x.add(x.div(e.reshape([-1,7,2]),this.inputSizeTensor),this.anchors[t]);return x.mul(n,this.inputSizeTensor)})}async getBoundingBoxes(e){const t=this.model.predict(e),n=t.squeeze();console.log(n);const o=x.tidy(()=>x.sigmoid(x.slice(n,[0,0],[-1,1])).squeeze()),s=x.slice(n,[0,1],[-1,4]),i=this.normalizeBoxes(s),r=await x.image.nonMaxSuppressionAsync(i,o,this.maxHands,this.iouThreshold,this.scoreThreshold),a=await r.array(),d=[t,r,n,i,s,o],c=x.tidy(()=>{const h=[];for(const p in a){const l=a[p],m=x.slice(i,[l,0],[1,-1]),u=x.slice(n,[l,5],[1,14]),w=x.tidy(()=>this.normalizeLandmarks(u,l).reshape([-1,2]));h.push({boxes:m,palmLandmarks:w})}return h});return d.forEach(h=>h.dispose()),c}async estimateHandBounds(e,t){this.iouThreshold=t.iouThreshold,this.scoreThreshold=t.scoreThreshold,this.maxHands=t.maxHands;const n=e.resizeBilinear([this.width,this.height]),o=n.div(255),s=o.sub(.5),i=s.mul(2);n.dispose(),o.dispose(),s.dispose();const r=await this.getBoundingBoxes(i);if(i.dispose(),!r||r.length===0)return null;const a=[];for(const d in r){const c=r[d],h=await c.boxes.array(),p=h[0].slice(0,2),l=h[0].slice(2,4),m=await c.palmLandmarks.array();c.boxes.dispose(),c.palmLandmarks.dispose(),a.push(to.scaleBoxCoordinates({startPoint:p,endPoint:l,palmLandmarks:m},[e.shape[2]/this.width,e.shape[1]/this.height]))}return a}}Kt.HandDetector=no});var Xt=b(Vt=>{Vt.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 Jt=b(K=>{function Gt(e){return e-2*Math.PI*Math.floor((e+Math.PI)/(2*Math.PI))}K.normalizeRadians=Gt;function oo(e,t){const n=Math.PI/2-Math.atan2(-(t[1]-e[1]),t[0]-e[0]);return Gt(n)}K.computeRotation=oo;const Qt=(e,t)=>[[1,0,e],[0,1,t],[0,0,1]];function $(e,t){let n=0;for(let o=0;o<e.length;o++)n+=e[o]*t[o];return n}K.dot=$;function Zt(e,t){const n=[];for(let o=0;o<e.length;o++)n.push(e[o][t]);return n}K.getColumnFrom2DArr=Zt;function $t(e,t){const n=[],o=e.length;for(let s=0;s<o;s++){n.push([]);for(let i=0;i<o;i++)n[s].push($(e[s],Zt(t,i)))}return n}function so(e,t){const n=Math.cos(e),o=Math.sin(e),s=[[n,-o,0],[o,n,0],[0,0,1]],i=Qt(t[0],t[1]),r=$t(i,s),a=Qt(-t[0],-t[1]);return $t(r,a)}K.buildRotationMatrix=so;function io(e){const t=[[e[0][0],e[1][0]],[e[0][1],e[1][1]]],n=[e[0][2],e[1][2]],o=[-$(t[0],n),-$(t[1],n)];return[t[0].concat(o[0]),t[1].concat(o[1]),[0,0,1]]}K.invertTransformMatrix=io;function ro(e,t){return[$(e,t[0]),$(e,t[1])]}K.rotatePoint=ro});var o0=b(e0=>{const t0=require("@tensorflow/tfjs"),A=Ce(),Y=Jt(),ao=.8,co=[0,-.4],lo=[0,-.1],ho=1.65,n0=[0,5,9,13,17,1,2],uo=0,mo=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(s=>{const i=[...s,1];return Y.rotatePoint(i,t)}),o=this.calculateLandmarksBoundingBox(n);return A.enlargeBox(A.squarifyBox(A.shiftBox(o,co)),this.enlargeFactor)}getBoxForHandLandmarks(e){const t=this.calculateLandmarksBoundingBox(e),n=A.enlargeBox(A.squarifyBox(A.shiftBox(t,lo)),ho),o=[];for(let s=0;s<n0.length;s++)o.push(e[n0[s]].slice(0,2));return n.palmLandmarks=o,n}transformRawCoords(e,t,n,o){const s=A.getBoxSize(t),i=[s[0]/this.meshWidth,s[1]/this.meshHeight],r=e.map(l=>[i[0]*(l[0]-this.meshWidth/2),i[1]*(l[1]-this.meshHeight/2),l[2]]),a=Y.buildRotationMatrix(n,[0,0]),d=r.map(l=>{const m=Y.rotatePoint(l,a);return[...m,l[2]]}),c=Y.invertTransformMatrix(o),h=[...A.getBoxCenter(t),1],p=[Y.dot(h,c[0]),Y.dot(h,c[1])];return d.map(l=>[l[0]+p[0],l[1]+p[1],l[2]])}async estimateHands(e,t){this.skipFrames=t.skipFrames,this.detectionConfidence=t.minConfidence,this.maxHands=t.maxHands,this.runsWithoutHandDetector++;const n=this.shouldUpdateRegionsOfInterest();if(n===!0){const s=await this.boundingBoxDetector.estimateHandBounds(e,t);this.regionsOfInterest=[];for(const i in s)this.updateRegionsOfInterest(s[i],!0,i);this.runsWithoutHandDetector=0}const o=[];if(!this.regionsOfInterest)return o;for(const s in this.regionsOfInterest){const i=this.regionsOfInterest[s][0];if(!i)return o;const r=Y.computeRotation(i.palmLandmarks[uo],i.palmLandmarks[mo]),a=A.getBoxCenter(i),d=[a[0]/e.shape[2],a[1]/e.shape[1]],c=t0.image.rotateWithOffset(e,r,0,d),h=Y.buildRotationMatrix(-r,a),p=n?this.getBoxForPalmLandmarks(i.palmLandmarks,h):i,l=A.cutBoxFromImageAndResize(p,c,[this.meshWidth,this.meshHeight]),m=l.div(255);l.dispose(),c.dispose();const u=this.meshDetector.predict(m),[w,P]=u;m.dispose();const M=w.dataSync()[0];if(w.dispose(),M<t.minConfidence)return P.dispose(),this.regionsOfInterest[s]=[],o;const y=t0.reshape(P,[-1,3]),z=await y.array();P.dispose(),y.dispose();const D=this.transformRawCoords(z,p,r,h),F=this.getBoxForHandLandmarks(D);this.updateRegionsOfInterest(F,!1,s);const he={landmarks:D,confidence:M,box:{topLeft:F.startPoint,bottomRight:F.endPoint}};o.push(he)}return o}calculateLandmarksBoundingBox(e){const t=e.map(i=>i[0]),n=e.map(i=>i[1]),o=[Math.min(...t),Math.min(...n)],s=[Math.max(...t),Math.max(...n)];return{startPoint:o,endPoint:s}}updateRegionsOfInterest(e,t,n){if(t)this.regionsOfInterest[n]=[e];else{const o=this.regionsOfInterest[n][0];let s=0;if(o!=null&&o.startPoint!=null){const[i,r]=e.startPoint,[a,d]=e.endPoint,[c,h]=o.startPoint,[p,l]=o.endPoint,m=Math.max(i,c),u=Math.max(r,h),w=Math.min(a,p),P=Math.min(d,l),M=(w-m)*(P-u),y=(a-i)*(d-r),z=(p-c)*(l-r);s=M/(y+z-M)}this.regionsOfInterest[n][0]=s>ao?o:e}}shouldUpdateRegionsOfInterest(){return!this.regionsOfInterest||this.regionsOfInterest.length===0||this.runsWithoutHandDetector>=this.skipFrames}}e0.HandPipeline=po});var r0=b(Le=>{const ce=require("@tensorflow/tfjs"),fo=Yt(),s0=Xt(),go=o0();class i0{constructor(e){this.pipeline=e}async estimateHands(e,t){this.skipFrames=t.skipFrames,this.detectionConfidence=t.minConfidence,this.maxHands=t.maxHands;const n=await this.pipeline.estimateHands(e,t),o=[];if(!n)return o;for(const s of n){if(!s)return[];const i={};for(const r of Object.keys(s0.MESH_ANNOTATIONS))i[r]=s0.MESH_ANNOTATIONS[r].map(a=>s.landmarks[a]);o.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:i})}return o}}Le.HandPose=i0;async function bo(e){if(ce.env().features.IS_NODE){const t=require("fs"),n=await t.readFileSync(e.replace("file://",""));return JSON.parse(n)}return ce.util.fetch(e).then(t=>t.json())}async function yo(e){const[t,n,o]=await Promise.all([bo(e.detector.anchors),ce.loadGraphModel(e.detector.modelPath,{fromTFHub:e.detector.modelPath.includes("tfhub.dev")}),ce.loadGraphModel(e.skeleton.modelPath,{fromTFHub:e.skeleton.modelPath.includes("tfhub.dev")})]),s=new fo.HandDetector(n,t,e),i=new go.HandPipeline(s,o,e),r=new i0(i);return r}Le.load=yo});var a0=b(xo=>{Xe(xo,{default:()=>wo});var wo={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,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 c0=b((os,d0)=>{d0.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 f0=b(T=>{const I=require("@tensorflow/tfjs"),l0=mt(),le=ft(),h0=yt(),u0=Wt(),m0=r0(),He=a0().default,Po=c0();let f,N="idle";const S={facemesh:null,posenet:null,handpose:null,iris:null,age:null,gender:null,emotion:null},Mo={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),G=(...e)=>{e&&f.console&&console.log(...e)};let p0=0;const Eo=!1,V=(...e)=>{if(!Eo)return;const t=I.engine().state.numTensors,n=p0;p0=t;const o=t-n;o!==0&&G(...e,o)};function qe(...e){const t=n=>n&&typeof n=="object";return e.reduce((n,o)=>(Object.keys(o||{}).forEach(s=>{const i=n[s],r=o[s];Array.isArray(i)&&Array.isArray(r)?n[s]=i.concat(...r):t(i)&&t(r)?n[s]=qe(i,r):n[s]=r}),n),{})}function Io(e){if(!e)return"input is not defined";if(!(e instanceof I.Tensor)||I.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(I.ENV.flags.IS_BROWSER&&(e instanceof HTMLVideoElement||e instanceof HTMLMediaElement)&&(e.readyState&&e.readyState<=2))return"input is not ready";if(I.ENV.flags.IS_NODE&&!(e instanceof I.Tensor))return"input must be a tensor";try{I.getBackend()}catch{return"backend not loaded"}return null}async function So(e){e&&(f=qe(He,e)),f.face.enabled&&!S.facemesh&&(S.facemesh=await l0.load(f.face)),f.body.enabled&&!S.posenet&&(S.posenet=await u0.load(f.body)),f.hand.enabled&&!S.handpose&&(S.handpose=await m0.load(f.hand)),f.face.enabled&&f.face.age.enabled&&!S.age&&(S.age=await le.loadAge(f)),f.face.enabled&&f.face.gender.enabled&&!S.gender&&(S.gender=await le.loadGender(f)),f.face.enabled&&f.face.emotion.enabled&&!S.emotion&&(S.emotion=await h0.load(f))}function Bo(e){let t;if(e instanceof I.Tensor)t=I.clone(e);else{const n=I.browser.fromPixels(e),o=n.toFloat();t=o.expandDims(0),n.dispose(),o.dispose()}return t}async function To(e,t={}){N="config";const n={};let o;o=E();const s=I.ENV.flags.IS_NODE||I.ENV.flags.IS_BROWSER&&!(e instanceof HTMLVideoElement||e instanceof HTMLMediaElement);f=qe(He,t,s?Mo:{}),n.config=Math.trunc(E()-o),o=E(),N="check";const i=Io(e);return i?(G(i,e),{error:i}):(n.sanity=Math.trunc(E()-o),new Promise(async r=>{const a=E();o=E(),I.getBackend()!==f.backend&&(N="backend",G("Human library setting backend:",f.backend),await I.setBackend(f.backend),await I.ready()),n.backend=Math.trunc(E()-o);const d=Object.values(S).filter(m=>m).length;d===0&&(G("Human library starting"),G("Configuration:",f),G("Flags:",I.ENV.flags)),o=E(),N="load",await So(),n.load=Math.trunc(E()-o),f.scoped&&I.engine().startScope(),V("Start Detect:");const c=Bo(e);N="run:body",o=E(),V("Start PoseNet");const h=f.body.enabled?await S.posenet.estimatePoses(c,f.body):[];V("End PoseNet:"),n.body=Math.trunc(E()-o),N="run:hand",o=E(),V("Start HandPose:");const p=f.hand.enabled?await S.handpose.estimateHands(c,f.hand):[];V("End HandPose:"),n.hand=Math.trunc(E()-o);const l=[];if(f.face.enabled){N="run:face",o=E(),V("Start FaceMesh:");const m=await S.facemesh.estimateFaces(c,f.face);n.face=Math.trunc(E()-o);for(const u of m){if(!u.image||u.image.isDisposedInternal){G("face object is disposed:",u.image);continue}N="run:agegender",o=E();const w=f.face.age.enabled||f.face.gender.enabled?await le.predict(u.image,f):{};n.agegender=Math.trunc(E()-o),N="run:emotion",o=E();const P=f.face.emotion.enabled?await h0.predict(u.image,f):{};n.emotion=Math.trunc(E()-o),u.image.dispose();const M=u.annotations.leftEyeIris&&u.annotations.rightEyeIris?Math.max(u.annotations.leftEyeIris[3][0]-u.annotations.leftEyeIris[1][0],u.annotations.rightEyeIris[3][0]-u.annotations.rightEyeIris[1][0]):0;l.push({confidence:u.confidence,box:u.box,mesh:u.mesh,annotations:u.annotations,age:w.age,gender:w.gender,agConfidence:w.confidence,emotion:P,iris:M!==0?Math.trunc(100*11.7/M)/100:0}),V("End FaceMesh:")}}c.dispose(),N="idle",f.scoped&&I.engine().endScope(),V("End Scope:"),n.total=Math.trunc(E()-a),r({face:l,body:h,hand:p,performance:n})}))}T.detect=To;T.defaults=He;T.config=f;T.models=S;T.facemesh=l0;T.ssrnet=le;T.posenet=u0;T.handpose=m0;T.tf=I;T.version=Po.version;T.state=N});export default f0();
|
|
//# sourceMappingURL=human.esm-nobundle.js.map
|