diff --git a/CHANGELOG.md b/CHANGELOG.md index 24f99635..f0a8340a 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -9,8 +9,12 @@ ## Changelog -### **HEAD -> main** 2021/10/25 mandic00@live.com +### **2.4.1** 2021/10/25 mandic00@live.com + +### **origin/main** 2021/10/25 mandic00@live.com + +- increase face similarity match resolution - time based caching - turn on minification - initial work on skiptime diff --git a/dist/human.custom.esm.js b/dist/human.custom.esm.js index 0f6e600a..5d437227 100644 --- a/dist/human.custom.esm.js +++ b/dist/human.custom.esm.js @@ -7078,7 +7078,7 @@ return a / b;`,lre=` gl_FragColor.a = c22.a; } `;var xx=(e,t,n)=>{let s=new RegExp("\\b"+t+" \\w+ (\\w+)","ig");e.replace(s,(r,a)=>(n[a]=0,r))},N6=class{constructor(t,n,s){de(this,"uniform",{});de(this,"attribute",{});de(this,"gl");de(this,"id");de(this,"compile",(t,n)=>{let 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ye.initial&&(Os=null),Os?e.debug&&ae("cached model:",Os.modelUrl):(Os=await st(at(e.modelBasePath,((t=e.face.detector)==null?void 0:t.modelPath)||"")),!Os||!Os.modelUrl?ae("load model failed:",(n=e.face.detector)==null?void 0:n.modelPath):e.debug&&ae("load model:",Os.modelUrl)),Ms=Os.inputs[0].shape?Os.inputs[0].shape[2]:0,Ms===-1&&(Ms=64),_x=W6(Ms),G6=ur(_x),Os}function oge(e){let t=_e(e,[0,1],[-1,2]),n=ie(t,G6),s=_e(e,[0,3],[-1,2]),r=fe(s,Ms),a=fe(n,Ms),o=fe(r,2),i=xe(a,o),l=ie(a,o),c=W(i,Ms),u=W(l,Ms);return ku([c,u],1)}async function j6(e,t){var c,u,d,p;if(!e||e.isDisposedInternal||e.shape.length!==4||e.shape[1]<1||e.shape[2]<1)return{boxes:[]};let[n,s,r]=j(()=>{let h=$e.resizeBilinear(e,[Ms,Ms]),f=xe(fe(h,127.5),.5),m=Os==null?void 0:Os.execute(f),g;if(Array.isArray(m)){let b=m.sort((E,$)=>E.size-$.size),w=It([b[0],b[2]],2),k=It([b[1],b[3]],2),S=It([k,w],1);g=pt(S,0)}else g=pt(m);let A=oge(g),y=_e(g,[0,0],[-1,1]),x=pt(hs(y));return[g,A,x]}),a=await 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Px=["nose","leftEyeInside","leftEye","leftEyeOutside","rightEyeInside","rightEye","rightEyeOutside","leftEar","rightEar","leftMouth","rightMouth","leftShoulder","rightShoulder","leftElbow","rightElbow","leftWrist","rightWrist","leftPalm","rightPalm","leftIndex","rightIndex","leftPinky","rightPinky","leftHip","rightHip","leftKnee","rightKnee","leftAnkle","rightAnkle","leftHeel","rightHeel","leftFoot","rightFoot","bodyCenter","bodyTop","leftThumb","leftHand","rightThumb","rightHand"],Fx={leftLeg:["leftHip","leftKnee","leftAnkle","leftHeel","leftFoot"],rightLeg:["rightHip","rightKnee","rightAnkle","rightHeel","rightFoot"],torso:["leftShoulder","rightShoulder","rightHip","leftHip","leftShoulder"],leftArm:["leftShoulder","leftElbow","leftWrist","leftPalm"],rightArm:["rightShoulder","rightElbow","rightWrist","rightPalm"],leftHand:[],rightHand:[],head:[]};var q6={initial:!0},dn=[null,null],Vo=[[0,0],[0,0]],Mx=Number.MAX_SAFE_INTEGER,zx,Gm=null,Uo=[[0,0],[0,0],[0,0],[0,0]],X6=0;async function K6(e){var t,n,s;if(q6.initial&&(dn[0]=null),!dn[0]&&((t=e.body.detector)==null?void 0:t.modelPath)){dn[0]=await st(at(e.modelBasePath,((n=e.body.detector)==null?void 0:n.modelPath)||""));let r=Object.values(dn[0].modelSignature.inputs);Vo[0][0]=Array.isArray(r)?parseInt(r[0].tensorShape.dim[1].size):0,Vo[0][1]=Array.isArray(r)?parseInt(r[0].tensorShape.dim[2].size):0,!dn[0]||!dn[0].modelUrl?ae("load model failed:",(s=e.body.detector)==null?void 0:s.modelPath):e.debug&&ae("load model:",dn[0].modelUrl)}else e.debug&&dn[0]&&ae("cached model:",dn[0].modelUrl);return dn[0]}async function Z6(e){var t;if(q6.initial&&(dn[1]=null),dn[1])e.debug&&ae("cached model:",dn[1].modelUrl);else{dn[1]=await st(at(e.modelBasePath,e.body.modelPath||""));let n=Object.values(dn[1].modelSignature.inputs);Vo[1][0]=Array.isArray(n)?parseInt(n[0].tensorShape.dim[1].size):0,Vo[1][1]=Array.isArray(n)?parseInt(n[0].tensorShape.dim[2].size):0,((t=e.body.modelPath)==null?void 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i=Zn.keypoints.map(p=>p.position[0]),l=Zn.keypoints.map(p=>p.position[1]);Zn.box=[Math.min(...i),Math.min(...l),Math.max(...i)-Math.min(...i),Math.max(...l)-Math.min(...l)];let c=Zn.keypoints.map(p=>p.positionRaw[0]),u=Zn.keypoints.map(p=>p.positionRaw[1]);Zn.boxRaw=[Math.min(...c),Math.min(...u),Math.max(...c)-Math.min(...c),Math.max(...u)-Math.min(...u)];for(let[p,h]of Object.entries(Ux)){let f=[];for(let m=0;my.part===h[m]),A=Zn.keypoints.find(y=>y.part===h[m+1]);g&&A&&g.score>(t.body.minConfidence||0)&&A.score>(t.body.minConfidence||0)&&f.push([g.position,A.position])}Zn.annotations[p]=f}r([Zn])}))}var hge=["angry","disgust","fear","happy","sad","surprise","neutral"],hn,jm=[],t8=0,n8=0,Xx=Number.MAX_SAFE_INTEGER,Kx=[.2989,.587,.114];async function s8(e){var t,n;return ye.initial&&(hn=null),hn?e.debug&&ae("cached model:",hn.modelUrl):(hn=await st(at(e.modelBasePath,((t=e.face.emotion)==null?void 0:t.modelPath)||"")),!hn||!hn.modelUrl?ae("load model 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0:d.minConfidence)||0)&&c.push({score:Math.min(.99,Math.trunc(100*k[S])/100),emotion:hge[S]});c.sort((S,E)=>E.score-S.score),Q(b)}jm[n]=c,t8=s,l(c)}))}var er,Go=0,fge=2.3,Yx=Lr.leftEyeLower0,Jx=Lr.rightEyeLower0,pc={leftBounds:[Yx[0],Yx[Yx.length-1]],rightBounds:[Jx[0],Jx[Jx.length-1]]},hc={upperCenter:3,lowerCenter:4,index:71,numCoordinates:76};async function r8(e){var t,n;return ye.initial&&(er=null),er?e.debug&&ae("cached model:",er.modelUrl):(er=await st(at(e.modelBasePath,((t=e.face.iris)==null?void 0:t.modelPath)||"")),!er||!er.modelUrl?ae("load model failed:",(n=e.face.iris)==null?void 0:n.modelPath):e.debug&&ae("load model:",er.modelUrl)),Go=er.inputs[0].shape?er.inputs[0].shape[2]:0,Go===-1&&(Go=64),er}function qm(e,t,n,s){for(let r=0;r{let t=e[pc.leftBounds[0]][2],n=e[pc.rightBounds[0]][2];return t-n},a8=(e,t,n,s,r=!1,a)=>{let o=fp(hp(Vm([e[n],e[s]]),fge)),i=pp(o),l=$e.cropAndResize(t,[[o.startPoint[1]/a,o.startPoint[0]/a,o.endPoint[1]/a,o.endPoint[0]/a]],[0],[Go,Go]);if(r&&ye.kernels.includes("flipleftright")){let c=$e.flipLeftRight(l);Q(l),l=c}return{box:o,boxSize:i,crop:l}},o8=(e,t,n,s=!1)=>{let r=[];for(let a=0;a{let s=e[Lr[`${n}EyeUpper0`][hc.upperCenter]][2],r=e[Lr[`${n}EyeLower0`][hc.lowerCenter]][2],a=(s+r)/2;return t.map((o,i)=>{let l=a;return i===2?l=s:i===4&&(l=r),[o[0],o[1],l]})};async function l8(e,t,n,s){if(!er)return n.debug&&ae("face mesh iris detection requested, but model is not loaded"),e;let{box:r,boxSize:a,crop:o}=a8(e,t,pc.leftBounds[0],pc.leftBounds[1],!0,s),{box:i,boxSize:l,crop:c}=a8(e,t,pc.rightBounds[0],pc.rightBounds[1],!0,s),u=It([o,c]);Q(o),Q(c);let d=er.predict(u);Q(u);let p=await d.data();Q(d);let h=p.slice(0,hc.numCoordinates*3),{rawCoords:f,iris:m}=o8(h,r,a,!0),g=p.slice(hc.numCoordinates*3),{rawCoords:A,iris:y}=o8(g,i,l),x=mge(e);Math.abs(x)<30?(qm(e,f,"left",null),qm(e,A,"right",null)):x<1?qm(e,f,"left",["EyeUpper0","EyeLower0"]):qm(e,A,"right",["EyeUpper0","EyeLower0"]);let b=i8(e,m,"left"),w=i8(e,y,"right");return e.concat(b).concat(w)}var Br=[],tr=null,xr=0,Qx=Number.MAX_SAFE_INTEGER,u8=0,c8=0;async function d8(e,t){var i,l,c,u,d,p,h,f,m,g,A;let n=(((i=t.face.detector)==null?void 0:i.skipTime)||0)>pe()-u8,s=Qx<(((l=t.face.detector)==null?void 0:l.skipFrames)||0);if(!t.skipAllowed||!n||!s||c8===0){let y=await j6(e,t);u8=pe(),Br=[];for(let x of y.boxes){let b=await x.box.startPoint.data(),w=await x.box.endPoint.data(),k=await x.landmarks.array();Br.push({startPoint:b,endPoint:w,landmarks:k,confidence:x.confidence})}y.boxes.forEach(x=>Q([x.box.startPoint,x.box.endPoint,x.landmarks]));for(let x=0;x[P[0]/(e.shape[2]||0),P[1]/(e.shape[1]||0),(P[2]||0)/xr]),y={...hp(Vm(w.mesh),1.5),confidence:y.confidence};for(let P of Object.keys(Lr))w.annotations[P]=Lr[P].map(T=>w.mesh[T]);((m=t.face.detector)==null?void 0:m.rotation)&&t.face.mesh.enabled&&((g=t.face.description)==null?void 0:g.enabled)&&ye.kernels.includes("rotatewithoffset")&&(Q(w.tensor),[x,b,w.tensor]=Dx(y,e,xr)),w.box=Ex(y,e),w.boxRaw=Rx(y,e),w.score=Math.round(100*$||100*y.confidence||0)/100,w.faceScore=Math.round(100*$)/100,y={...fp(y),confidence:y.confidence,faceConfidence:$}}}else{w.box=Ex(y,e),w.boxRaw=Rx(y,e),w.score=Math.round(100*y.confidence||0)/100,w.mesh=y.landmarks.map(k=>[(y.startPoint[0]+y.endPoint[0])/2+(y.endPoint[0]+y.startPoint[0])*k[0]/mp(),(y.startPoint[1]+y.endPoint[1])/2+(y.endPoint[1]+y.startPoint[1])*k[1]/mp()]),w.meshRaw=w.mesh.map(k=>[k[0]/(e.shape[2]||0),k[1]/(e.shape[1]||0),(k[2]||0)/xr]);for(let k of Object.keys(cp))w.annotations[k]=[w.mesh[cp[k]]]}r.push(w),a.push(y)}return((A=t.face.mesh)==null?void 0:A.enabled)&&(Br=a.filter(y=>{var x;return y.confidence>(((x=t.face.detector)==null?void 0:x.minConfidence)||0)})),c8=r.length,r}async function p8(e){var t,n;return ye.initial&&(tr=null),tr?e.debug&&ae("cached model:",tr.modelUrl):(tr=await st(at(e.modelBasePath,((t=e.face.mesh)==null?void 0:t.modelPath)||"")),!tr||!tr.modelUrl?ae("load model failed:",(n=e.face.mesh)==null?void 0:n.modelPath):e.debug&&ae("load model:",tr.modelUrl)),xr=tr.inputs[0].shape?tr.inputs[0].shape[2]:0,xr===-1&&(xr=64),tr}var h8=kl,f8=dp;var Yn,Xm=[],m8=0,g8=0,eb=Number.MAX_SAFE_INTEGER;async function A8(e){var n,s;let t=at(e.modelBasePath,((n=e.face.description)==null?void 0:n.modelPath)||"");return ye.initial&&(Yn=null),Yn?e.debug&&ae("cached model:",t):(Yn=await st(t),Yn?e.debug&&ae("load model:",t):ae("load model failed:",((s=e.face.description)==null?void 0:s.modelPath)||"")),Yn}function tb(e){return j(()=>{let n=e.image||e.tensor||e;if(!(n instanceof Ye))return null;let s=[[.05,.15,.85,.85]];if(!(Yn==null?void 0:Yn.inputs[0].shape))return null;let r=n.shape.length===3?$e.cropAndResize(Kt(n,0),s,[0],[Yn.inputs[0].shape[2],Yn.inputs[0].shape[1]]):$e.cropAndResize(n,s,[0],[Yn.inputs[0].shape[2],Yn.inputs[0].shape[1]]);return W(r,255)})}async function nb(e,t,n,s){var o,i,l,c;if(!Yn)return null;let r=eb<(((o=t.face.description)==null?void 0:o.skipFrames)||0),a=(((i=t.face.description)==null?void 0:i.skipTime)||0)>pe()-m8;return t.skipAllowed&&r&&a&&g8===s&&((l=Xm[n])==null?void 0:l.age)&&((c=Xm[n])==null?void 0:c.age)>0?(eb++,Xm[n]):(eb=0,new Promise(async u=>{var p,h;let d={age:0,gender:"unknown",genderScore:0,descriptor:[]};if((p=t.face.description)==null?void 0:p.enabled){let f=tb(e),m=await(Yn==null?void 0:Yn.predict(f));m8=pe(),Q(f);let A=await(await m.find($=>$.shape[1]===1)).data(),y=Math.trunc(200*Math.abs(A[0]-.5))/100;y>(((h=t.face.description)==null?void 0:h.minConfidence)||0)&&(d.gender=A[0]<=.5?"female":"male",d.genderScore=Math.min(.99,y));let x=Hs(m.find($=>$.shape[1]===100),1),b=(await x.data())[0];Q(x);let k=await m.find($=>$.shape[1]===100).data();d.age=Math.round(k[b-1]>k[b+1]?10*b-100*k[b-1]:10*b+100*k[b+1])/10;let S=m.find($=>$.shape[1]===1024),E=S?await S.data():[];d.descriptor=Array.from(E),m.forEach($=>Q($))}Xm[n]=d,g8=s,u(d)}))}function Km(e){return[Math.abs(e.endPoint[0]-e.startPoint[0]),Math.abs(e.endPoint[1]-e.startPoint[1])]}function gp(e){return[e.startPoint[0]+(e.endPoint[0]-e.startPoint[0])/2,e.startPoint[1]+(e.endPoint[1]-e.startPoint[1])/2]}function y8(e,t,n){let s=t.shape[1],r=t.shape[2],a=[[e.startPoint[1]/s,e.startPoint[0]/r,e.endPoint[1]/s,e.endPoint[0]/r]];return $e.cropAndResize(t,a,[0],n)}function x8(e,t){let n=[e.startPoint[0]*t[0],e.startPoint[1]*t[1]],s=[e.endPoint[0]*t[0],e.endPoint[1]*t[1]],r=e.palmLandmarks.map(a=>[a[0]*t[0],a[1]*t[1]]);return{startPoint:n,endPoint:s,palmLandmarks:r,confidence:e.confidence}}function Zm(e,t=1.5){let n=gp(e),s=Km(e),r=[t*s[0]/2,t*s[1]/2],a=[n[0]-r[0],n[1]-r[1]],o=[n[0]+r[0],n[1]+r[1]];return{startPoint:a,endPoint:o,palmLandmarks:e.palmLandmarks}}function Ym(e){let t=gp(e),n=Km(e),r=Math.max(...n)/2,a=[t[0]-r,t[1]-r],o=[t[0]+r,t[1]+r];return{startPoint:a,endPoint:o,palmLandmarks:e.palmLandmarks}}function gge(e){return e-2*Math.PI*Math.floor((e+Math.PI)/(2*Math.PI))}function b8(e,t){let n=Math.PI/2-Math.atan2(-(t[1]-e[1]),t[0]-e[0]);return gge(n)}var v8=(e,t)=>[[1,0,e],[0,1,t],[0,0,1]];function Ho(e,t){let n=0;for(let 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of[Ze.index,Ze.middle,Ze.ring,Ze.pinky])jo.addCurl(e,cs.full,1),jo.addDirection(e,qe.horizontalLeft,1),jo.addDirection(e,qe.horizontalRight,1);var tn=new Jm("victory");tn.addCurl(Ze.thumb,cs.half,.5);tn.addCurl(Ze.thumb,cs.none,.5);tn.addDirection(Ze.thumb,qe.verticalUp,1);tn.addDirection(Ze.thumb,qe.diagonalUpLeft,1);tn.addCurl(Ze.index,cs.none,1);tn.addDirection(Ze.index,qe.verticalUp,.75);tn.addDirection(Ze.index,qe.diagonalUpLeft,1);tn.addCurl(Ze.middle,cs.none,1);tn.addDirection(Ze.middle,qe.verticalUp,1);tn.addDirection(Ze.middle,qe.diagonalUpLeft,.75);tn.addCurl(Ze.ring,cs.full,1);tn.addDirection(Ze.ring,qe.verticalUp,.2);tn.addDirection(Ze.ring,qe.diagonalUpLeft,1);tn.addDirection(Ze.ring,qe.horizontalLeft,.2);tn.addCurl(Ze.pinky,cs.full,1);tn.addDirection(Ze.pinky,qe.verticalUp,.2);tn.addDirection(Ze.pinky,qe.diagonalUpLeft,1);tn.addDirection(Ze.pinky,qe.horizontalLeft,.2);tn.setWeight(Ze.index,2);tn.setWeight(Ze.middle,2);var N8=[jo,tn];var vge=.7,Cl={HALF_CURL_START_LIMIT:60,NO_CURL_START_LIMIT:130,DISTANCE_VOTE_POWER:1.1,SINGLE_ANGLE_VOTE_POWER:.9,TOTAL_ANGLE_VOTE_POWER:1.6};function E8(e,t,n,s){let r=(t-s)/(e-n),a=Math.atan(r)*180/Math.PI;return a<=0?a=-a:a>0&&(a=180-a),a}function R8(e,t){if(!e||!t)return[0,0];let n=E8(e[0],e[1],t[0],t[1]);if(e.length===2)return n;let s=E8(e[1],e[2],t[1],t[2]);return[n,s]}function $8(e,t=1){let n=0,s=0,r=0;return e>=75&&e<=105?n=1*t:e>=25&&e<=155?s=1*t:r=1*t,[n,s,r]}function wge(e,t,n){let s=e[0]-t[0],r=e[0]-n[0],a=t[0]-n[0],o=e[1]-t[1],i=e[1]-n[1],l=t[1]-n[1],c=e[2]-t[2],u=e[2]-n[2],d=t[2]-n[2],p=Math.sqrt(s*s+o*o+c*c),h=Math.sqrt(r*r+i*i+u*u),f=Math.sqrt(a*a+l*l+d*d),m=(f*f+p*p-h*h)/(2*f*p);m>1?m=1:m<-1&&(m=-1);let g=Math.acos(m);g=57.2958*g%180;let A;return g>Cl.NO_CURL_START_LIMIT?A=cs.none:g>Cl.HALF_CURL_START_LIMIT?A=cs.half:A=cs.full,A}function D8(e,t,n,s){let r;return s===Math.abs(e)?e>0?r=qe.horizontalLeft:r=qe.horizontalRight:s===Math.abs(t)?t>0?r=qe.horizontalLeft:r=qe.horizontalRight:n>0?r=qe.horizontalLeft:r=qe.horizontalRight,r}function _8(e,t,n,s){let r;return s===Math.abs(e)?e<0?r=qe.verticalDown:r=qe.verticalUp:s===Math.abs(t)?t<0?r=qe.verticalDown:r=qe.verticalUp:n<0?r=qe.verticalDown:r=qe.verticalUp,r}function kge(e,t,n,s,r,a,o,i){let l,c=_8(e,t,n,s),u=D8(r,a,o,i);return c===qe.verticalUp?u===qe.horizontalLeft?l=qe.diagonalUpLeft:l=qe.diagonalUpRight:u===qe.horizontalLeft?l=qe.diagonalDownLeft:l=qe.diagonalDownRight,l}function Ige(e,t,n,s){let r=e[0]-t[0],a=e[0]-n[0],o=t[0]-n[0],i=e[1]-t[1],l=e[1]-n[1],c=t[1]-n[1],u=Math.max(Math.abs(r),Math.abs(a),Math.abs(o)),d=Math.max(Math.abs(i),Math.abs(l),Math.abs(c)),p=0,h=0,f=0,m=d/(u+1e-5);m>1.5?p+=Cl.DISTANCE_VOTE_POWER:m>.66?h+=Cl.DISTANCE_VOTE_POWER:f+=Cl.DISTANCE_VOTE_POWER;let g=Math.sqrt(r*r+i*i),A=Math.sqrt(a*a+l*l),y=Math.sqrt(o*o+c*c),x=Math.max(g,A,y),b=e[0],w=e[1],k=n[0],S=n[1];x===g?(k=n[0],S=n[1]):x===y&&(b=t[0],w=t[1]);let F=R8([b,w],[k,S]),R=$8(F,Cl.TOTAL_ANGLE_VOTE_POWER);p+=R[0],h+=R[1],f+=R[2];for(let T of s){let M=$8(T,Cl.SINGLE_ANGLE_VOTE_POWER);p+=M[0],h+=M[1],f+=M[2]}let P;return p===Math.max(p,h,f)?P=_8(l,i,c,d):f===Math.max(h,f)?P=D8(a,r,o,u):P=kge(l,i,c,d,a,r,o,u),P}function P8(e){let t=[],n=[],s=[],r=[];if(!e)return{curls:s,directions:r};for(let a of Ze.all){let o=Ze.getPoints(a),i=[],l=[];for(let c of o){let u=e[c[0]],d=e[c[1]],p=R8(u,d),h=p[0],f=p[1];i.push(h),l.push(f)}t.push(i),n.push(l)}for(let a of Ze.all){let o=a===Ze.thumb?1:0,i=Ze.getPoints(a),l=e[i[o][0]],c=e[i[o+1][1]],u=e[i[3][1]],d=wge(l,c,u),p=Ige(l,c,u,t[a].slice(o));s[a]=d,r[a]=p}return{curls:s,directions:r}}function Qm(e){if(!e||e.length===0)return null;let t=P8(e),n={};for(let s of Ze.all)n[Ze.getName(s)]={curl:cs.getName(t.curls[s]),direction:qe.getName(t.directions[s])};return n}function F8(e){let t=[];if(!e||e.length===0)return t;let n=P8(e);for(let s of N8){let r=s.matchAgainst(n.curls,n.directions);r>=vge&&t.push({name:s.name,confidence:r})}return t}var O8={thumb:[1,2,3,4],index:[5,6,7,8],middle:[9,10,11,12],ring:[13,14,15,16],pinky:[17,18,19,20],palm:[0]},la,ua,M8;async function ib(e,t){let n=await M8.estimateHands(e,t);if(!n)return[];let s=[];for(let r=0;rn[r].landmarks[d]);let o=n[r].landmarks,i=[Number.MAX_SAFE_INTEGER,Number.MAX_SAFE_INTEGER,0,0],l=[0,0,0,0];if(o&&o.length>0){for(let u of o)u[0]i[2]&&(i[2]=u[0]),u[1]>i[3]&&(i[3]=u[1]);i[2]-=i[0],i[3]-=i[1],l=[i[0]/(e.shape[2]||0),i[1]/(e.shape[1]||0),i[2]/(e.shape[2]||0),i[3]/(e.shape[1]||0)]}else i=n[r].box?[Math.trunc(Math.max(0,n[r].box.topLeft[0])),Math.trunc(Math.max(0,n[r].box.topLeft[1])),Math.trunc(Math.min(e.shape[2]||0,n[r].box.bottomRight[0])-Math.max(0,n[r].box.topLeft[0])),Math.trunc(Math.min(e.shape[1]||0,n[r].box.bottomRight[1])-Math.max(0,n[r].box.topLeft[1]))]:[0,0,0,0],l=[n[r].box.topLeft[0]/(e.shape[2]||0),n[r].box.topLeft[1]/(e.shape[1]||0),(n[r].box.bottomRight[0]-n[r].box.topLeft[0])/(e.shape[2]||0),(n[r].box.bottomRight[1]-n[r].box.topLeft[1])/(e.shape[1]||0)];let c=Qm(o);s.push({id:r,score:Math.round(100*n[r].confidence)/100,boxScore:Math.round(100*n[r].boxConfidence)/100,fingerScore:Math.round(100*n[r].fingerConfidence)/100,label:"hand",box:i,boxRaw:l,keypoints:o,annotations:a,landmarks:c})}return s}async function lb(e){var n,s,r,a,o,i;ye.initial&&(la=null,ua=null),!la||!ua?([la,ua]=await Promise.all([e.hand.enabled?st(at(e.modelBasePath,((n=e.hand.detector)==null?void 0:n.modelPath)||""),{fromTFHub:(((s=e.hand.detector)==null?void 0:s.modelPath)||"").includes("tfhub.dev")}):null,e.hand.landmarks?st(at(e.modelBasePath,((r=e.hand.skeleton)==null?void 0:r.modelPath)||""),{fromTFHub:(((a=e.hand.skeleton)==null?void 0:a.modelPath)||"").includes("tfhub.dev")}):null]),e.hand.enabled&&(!la||!la.modelUrl?ae("load model failed:",((o=e.hand.detector)==null?void 0:o.modelPath)||""):e.debug&&ae("load model:",la.modelUrl),!ua||!ua.modelUrl?ae("load model failed:",((i=e.hand.skeleton)==null?void 0:i.modelPath)||""):e.debug&&ae("load model:",ua.modelUrl))):(e.debug&&ae("cached model:",la.modelUrl),e.debug&&ae("cached model:",ua.modelUrl));let t=new ab(la);return M8=new ob(t,ua),[la,ua]}function Tl(e,t=[1,1]){let n=[e.map(i=>i[0]),e.map(i=>i[1])],s=[Math.min(...n[0]),Math.min(...n[1])],r=[Math.max(...n[0]),Math.max(...n[1])],a=[s[0],s[1],r[0]-s[0],r[1]-s[1]],o=[a[0]/t[0],a[1]/t[1],a[2]/t[0],a[3]/t[1]];return{box:a,boxRaw:o}}function z8(e,t=[1,1]){let n=[e.map(c=>c[0]),e.map(c=>c[1])],s=[Math.min(...n[0]),Math.min(...n[1])],r=[Math.max(...n[0]),Math.max(...n[1])],a=[(s[0]+r[0])/2,(s[1]+r[1])/2],o=Math.max(a[0]-s[0],a[1]-s[1],-a[0]+r[0],-a[1]+r[1]),i=[Math.trunc(a[0]-o),Math.trunc(a[1]-o),Math.trunc(2*o),Math.trunc(2*o)],l=[i[0]/t[0],i[1]/t[1],i[2]/t[0],i[3]/t[1]];return{box:i,boxRaw:l}}function e0(e,t){let n=[e[2]*t,e[3]*t];return[e[0]-(n[0]-e[2])/2,e[1]-(n[1]-e[3])/2,n[0],n[1]]}function ub(e){return[Math.max(0,e[1]),Math.max(0,e[0]),Math.min(1,e[3]+e[1]),Math.min(1,e[2]+e[0])]}var Nt=[null,null],Sge=["StatefulPartitionedCall/Postprocessor/Slice","StatefulPartitionedCall/Postprocessor/ExpandDims_1"],qo=[[0,0],[0,0]],Cge=["hand","fist","pinch","point","face","tip","pinchtip"],L8=4,B8=1.6,Tge=512,Nge=1.4,t0=Number.MAX_SAFE_INTEGER,cb=0,ca=[0,0],Xt={boxes:[],hands:[]},W8={thumb:[1,2,3,4],index:[5,6,7,8],middle:[9,10,11,12],ring:[13,14,15,16],pinky:[17,18,19,20],palm:[0]};async function V8(e){var t,n;if(ye.initial&&(Nt[0]=null),Nt[0])e.debug&&ae("cached model:",Nt[0].modelUrl);else{dc(["tensorlistreserve","enter","tensorlistfromtensor","merge","loopcond","switch","exit","tensorliststack","nextiteration","tensorlistsetitem","tensorlistgetitem","reciprocal","shape","split","where"],e),Nt[0]=await st(at(e.modelBasePath,((t=e.hand.detector)==null?void 0:t.modelPath)||""));let s=Object.values(Nt[0].modelSignature.inputs);qo[0][0]=Array.isArray(s)?parseInt(s[0].tensorShape.dim[1].size):0,qo[0][1]=Array.isArray(s)?parseInt(s[0].tensorShape.dim[2].size):0,!Nt[0]||!Nt[0].modelUrl?ae("load model failed:",(n=e.hand.detector)==null?void 0:n.modelPath):e.debug&&ae("load model:",Nt[0].modelUrl)}return Nt[0]}async function U8(e){var t,n;if(ye.initial&&(Nt[1]=null),Nt[1])e.debug&&ae("cached model:",Nt[1].modelUrl);else{Nt[1]=await st(at(e.modelBasePath,((t=e.hand.skeleton)==null?void 0:t.modelPath)||""));let s=Object.values(Nt[1].modelSignature.inputs);qo[1][0]=Array.isArray(s)?parseInt(s[0].tensorShape.dim[1].size):0,qo[1][1]=Array.isArray(s)?parseInt(s[0].tensorShape.dim[2].size):0,!Nt[1]||!Nt[1].modelUrl?ae("load model failed:",(n=e.hand.skeleton)==null?void 0:n.modelPath):e.debug&&ae("load model:",Nt[1].modelUrl)}return Nt[1]}async function Ege(e,t){let n=[];if(!e||!Nt[0])return n;let s={},r=(e.shape[2]||1)/(e.shape[1]||1),a=Math.min(Math.round((e.shape[1]||0)/8)*8,Tge),o=Math.round(a*r/8)*8;s.resize=$e.resizeBilinear(e,[a,o]),s.cast=he(s.resize,"int32"),[s.rawScores,s.rawBoxes]=await Nt[0].executeAsync(s.cast,Sge),s.boxes=pt(s.rawBoxes,[0,2]),s.scores=pt(s.rawScores,[0]);let i=as(s.scores,1);Q(i[L8]),i.splice(L8,1),s.filtered=Pn(i,1),Q(i),s.max=rs(s.filtered,1),s.argmax=Hs(s.filtered,1);let l=0;s.nms=await $e.nonMaxSuppressionAsync(s.boxes,s.max,t.hand.maxDetected,t.hand.iouThreshold,t.hand.minConfidence);let c=await s.nms.data(),u=await s.max.data(),d=await s.argmax.data();for(let p of Array.from(c)){let h=_e(s.boxes,p,1),f=await h.data();Q(h);let m=[f[1],f[0],f[3]-f[1],f[2]-f[0]],g=e0(m,Nge),A=ub(g),y=[Math.trunc(m[0]*ca[0]),Math.trunc(m[1]*ca[1]),Math.trunc(m[2]*ca[0]),Math.trunc(m[3]*ca[1])],x=u[p],b=Cge[d[p]],w={id:l++,score:x,box:y,boxRaw:g,boxCrop:A,label:b};n.push(w)}return Object.keys(s).forEach(p=>Q(s[p])),n.sort((p,h)=>h.score-p.score),n.length>(t.hand.maxDetected||1)&&(n.length=t.hand.maxDetected||1),n}async function db(e,t,n){let s={id:t.id,score:Math.round(100*t.score)/100,boxScore:Math.round(100*t.score)/100,fingerScore:0,box:t.box,boxRaw:t.boxRaw,label:t.label,keypoints:[],landmarks:{},annotations:{}};if(e&&Nt[1]&&n.hand.landmarks&&t.score>(n.hand.minConfidence||0)){let r={};r.crop=$e.cropAndResize(e,[t.boxCrop],[0],[qo[1][0],qo[1][1]],"bilinear"),r.cast=he(r.crop,"float32"),r.div=fe(r.cast,255),[r.score,r.keypoints]=Nt[1].execute(r.div);let a=(await r.score.data())[0],o=(100-Math.trunc(100/(1+Math.exp(a))))/100;if(o>=(n.hand.minConfidence||0)){s.fingerScore=o,r.reshaped=G(r.keypoints,[-1,3]);let c=(await r.reshaped.array()).map(u=>[u[0]/qo[1][1],u[1]/qo[1][0],u[2]||0]).map(u=>[u[0]*t.boxRaw[2],u[1]*t.boxRaw[3],u[2]||0]);s.keypoints=c.map(u=>[ca[0]*(u[0]+t.boxRaw[0]),ca[1]*(u[1]+t.boxRaw[1]),u[2]||0]),s.landmarks=Qm(s.keypoints);for(let u of Object.keys(W8))s.annotations[u]=W8[u].map(d=>s.landmarks&&s.keypoints[d]?s.keypoints[d]:null)}Object.keys(r).forEach(i=>Q(r[i]))}return s}async function pb(e,t){var r,a;if(!Nt[0]||!Nt[1]||!((r=Nt[0])==null?void 0:r.inputs[0].shape)||!((a=Nt[1])==null?void 0:a.inputs[0].shape))return[];ca=[e.shape[2]||0,e.shape[1]||0],t0++;let n=(t.hand.skipTime||0)>pe()-cb,s=t0<(t.hand.skipFrames||0);return t.skipAllowed&&n&&s?Xt.hands:new Promise(async o=>{let i=3*(t.hand.skipTime||0)>pe()-cb,l=t0<3*(t.hand.skipFrames||0);t.skipAllowed&&Xt.hands.length===t.hand.maxDetected?Xt.hands=await Promise.all(Xt.boxes.map(u=>db(e,u,t))):t.skipAllowed&&i&&l&&Xt.hands.length>0?Xt.hands=await Promise.all(Xt.boxes.map(u=>db(e,u,t))):(Xt.boxes=await Ege(e,t),cb=pe(),Xt.hands=await Promise.all(Xt.boxes.map(u=>db(e,u,t))),t0=0);let c=[...Xt.boxes];if(Xt.boxes.length=0,t.cacheSensitivity>0)for(let u=0;u.05&&d.box[3]/(e.shape[1]||1)>.05&&Xt.hands[u].fingerScore&&Xt.hands[u].fingerScore>(t.hand.minConfidence||0)){let p=e0(d.box,B8),h=e0(d.boxRaw,B8),f=ub(h);Xt.boxes.push({...c[u],box:p,boxRaw:h,boxCrop:f})}}for(let u=0;us0,horizontal:()=>hb,kpt:()=>n0,relative:()=>mb,vertical:()=>fb});var n0=["nose","leftEye","rightEye","leftEar","rightEar","leftShoulder","rightShoulder","leftElbow","rightElbow","leftWrist","rightWrist","leftHip","rightHip","leftKnee","rightKnee","leftAnkle","rightAnkle"],hb=[["leftEye","rightEye"],["leftEar","rightEar"],["leftShoulder","rightShoulder"],["leftElbow","rightElbow"],["leftWrist","rightWrist"],["leftHip","rightHip"],["leftKnee","rightKnee"],["leftAnkle","rightAnkle"]],fb=[["leftKnee","leftShoulder"],["rightKnee","rightShoulder"],["leftAnkle","leftKnee"],["rightAnkle","rightKnee"]],mb=[[["leftHip","rightHip"],["leftShoulder","rightShoulder"]],[["leftElbow","rightElbow"],["leftShoulder","rightShoulder"]]],s0={leftLeg:["leftHip","leftKnee","leftAnkle"],rightLeg:["rightHip","rightKnee","rightAnkle"],torso:["leftShoulder","rightShoulder","rightHip","leftHip","leftShoulder"],leftArm:["leftShoulder","leftElbow","leftWrist"],rightArm:["rightShoulder","rightElbow","rightWrist"],head:[]};var G8=.005,vs={keypoints:[],padding:[[0,0],[0,0],[0,0],[0,0]]};function Ab(e){for(let t of hb){let n=e.keypoints.findIndex(r=>r.part===t[0]),s=e.keypoints.findIndex(r=>r.part===t[1]);if(e.keypoints[n]&&e.keypoints[s]&&e.keypoints[n].position[0]r&&r.part===t[0]),s=e.keypoints.findIndex(r=>r&&r.part===t[1]);e.keypoints[n]&&e.keypoints[s]&&e.keypoints[n].position[1]c&&c.part===t[0]),r=e.keypoints.findIndex(c=>c&&c.part===t[1]),a=e.keypoints.findIndex(c=>c&&c.part===n[0]),o=e.keypoints.findIndex(c=>c&&c.part===n[1]);if(!e.keypoints[a]||!e.keypoints[o])continue;let i=e.keypoints[s]?[Math.abs(e.keypoints[a].position[0]-e.keypoints[s].position[0]),Math.abs(e.keypoints[o].position[0]-e.keypoints[s].position[0])]:[0,0],l=e.keypoints[r]?[Math.abs(e.keypoints[o].position[0]-e.keypoints[r].position[0]),Math.abs(e.keypoints[a].position[0]-e.keypoints[r].position[0])]:[0,0];if(i[0]>i[1]||l[0]>l[1]){let c=e.keypoints[s];e.keypoints[s]=e.keypoints[r],e.keypoints[r]=c}}}function H8(e){for(let t=0;te.shape[1]?Math.trunc((e.shape[2]-e.shape[1])/2):0,e.shape[2]>e.shape[1]?Math.trunc((e.shape[2]-e.shape[1])/2):0],[e.shape[1]>e.shape[2]?Math.trunc((e.shape[1]-e.shape[2])/2):0,e.shape[1]>e.shape[2]?Math.trunc((e.shape[1]-e.shape[2])/2):0],[0,0]],n.pad=qs(e,vs.padding),n.resize=$e.resizeBilinear(n.pad,[t,t]);let s=he(n.resize,"int32");return Object.keys(n).forEach(r=>Q(n[r])),s}function q8(e,t){e.keypoints=e.keypoints.filter(s=>s&&s.position);for(let s of e.keypoints)s.position=[s.position[0]*(t[0]+vs.padding[2][0]+vs.padding[2][1])/t[0]-vs.padding[2][0],s.position[1]*(t[1]+vs.padding[1][0]+vs.padding[1][1])/t[1]-vs.padding[1][0]],s.positionRaw=[s.position[0]/t[0],s.position[1]/t[1]];let n=Tl(e.keypoints.map(s=>s.position),t);return e.box=n.box,e.boxRaw=n.boxRaw,e}var Fn,r0=0,yb=Number.MAX_SAFE_INTEGER,Nl={boxes:[],bodies:[],last:0};async function X8(e){return ye.initial&&(Fn=null),Fn?e.debug&&ae("cached model:",Fn.modelUrl):(dc(["size"],e),Fn=await st(at(e.modelBasePath,e.body.modelPath||"")),!Fn||!Fn.modelUrl?ae("load model failed:",e.body.modelPath):e.debug&&ae("load model:",Fn.modelUrl)),r0=Fn.inputs[0].shape?Fn.inputs[0].shape[2]:0,r0===-1&&(r0=256),Fn}async function Rge(e,t,n,s){let r=e[0][0],a=[],o=0;for(let d=0;dt.body.minConfidence){let p=[(s[3]-s[1])*r[d][1]+s[1],(s[2]-s[0])*r[d][0]+s[0]];a.push({score:Math.round(100*o)/100,part:n0[d],positionRaw:p,position:[Math.round((n.shape[2]||0)*p[0]),Math.round((n.shape[1]||0)*p[1])]})}o=a.reduce((d,p)=>p.score>d?p.score:d,0);let i=[],l=Tl(a.map(d=>d.position),[n.shape[2],n.shape[1]]),c={};for(let[d,p]of Object.entries(s0)){let h=[];for(let f=0;fA.part===p[f]),g=a.find(A=>A.part===p[f+1]);m&&g&&m.score>(t.body.minConfidence||0)&&g.score>(t.body.minConfidence||0)&&h.push([m.position,g.position])}c[d]=h}let u={id:0,score:o,box:l.box,boxRaw:l.boxRaw,keypoints:a,annotations:c};return Ab(u),i.push(u),i}async function $ge(e,t,n,s){let r=[];for(let a=0;at.body.minConfidence){let 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ye.initial&&(Os=null),Os?e.debug&&ae("cached model:",Os.modelUrl):(Os=await st(at(e.modelBasePath,((t=e.face.detector)==null?void 0:t.modelPath)||"")),!Os||!Os.modelUrl?ae("load model failed:",(n=e.face.detector)==null?void 0:n.modelPath):e.debug&&ae("load model:",Os.modelUrl)),Ms=Os.inputs[0].shape?Os.inputs[0].shape[2]:0,Ms===-1&&(Ms=64),_x=W6(Ms),G6=ur(_x),Os}function oge(e){let t=_e(e,[0,1],[-1,2]),n=ie(t,G6),s=_e(e,[0,3],[-1,2]),r=fe(s,Ms),a=fe(n,Ms),o=fe(r,2),i=xe(a,o),l=ie(a,o),c=W(i,Ms),u=W(l,Ms);return ku([c,u],1)}async function j6(e,t){var c,u,d,p;if(!e||e.isDisposedInternal||e.shape.length!==4||e.shape[1]<1||e.shape[2]<1)return{boxes:[]};let[n,s,r]=j(()=>{let h=$e.resizeBilinear(e,[Ms,Ms]),f=xe(fe(h,127.5),.5),m=Os==null?void 0:Os.execute(f),g;if(Array.isArray(m)){let b=m.sort((E,$)=>E.size-$.size),w=It([b[0],b[2]],2),k=It([b[1],b[3]],2),S=It([k,w],1);g=pt(S,0)}else g=pt(m);let A=oge(g),y=_e(g,[0,0],[-1,1]),x=pt(hs(y));return[g,A,x]}),a=await 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Px=["nose","leftEyeInside","leftEye","leftEyeOutside","rightEyeInside","rightEye","rightEyeOutside","leftEar","rightEar","leftMouth","rightMouth","leftShoulder","rightShoulder","leftElbow","rightElbow","leftWrist","rightWrist","leftPalm","rightPalm","leftIndex","rightIndex","leftPinky","rightPinky","leftHip","rightHip","leftKnee","rightKnee","leftAnkle","rightAnkle","leftHeel","rightHeel","leftFoot","rightFoot","bodyCenter","bodyTop","leftThumb","leftHand","rightThumb","rightHand"],Fx={leftLeg:["leftHip","leftKnee","leftAnkle","leftHeel","leftFoot"],rightLeg:["rightHip","rightKnee","rightAnkle","rightHeel","rightFoot"],torso:["leftShoulder","rightShoulder","rightHip","leftHip","leftShoulder"],leftArm:["leftShoulder","leftElbow","leftWrist","leftPalm"],rightArm:["rightShoulder","rightElbow","rightWrist","rightPalm"],leftHand:[],rightHand:[],head:[]};var q6={initial:!0},dn=[null,null],Vo=[[0,0],[0,0]],Mx=Number.MAX_SAFE_INTEGER,zx,Gm=null,Uo=[[0,0],[0,0],[0,0],[0,0]],X6=0;async function K6(e){var t,n,s;if(q6.initial&&(dn[0]=null),!dn[0]&&((t=e.body.detector)==null?void 0:t.modelPath)){dn[0]=await st(at(e.modelBasePath,((n=e.body.detector)==null?void 0:n.modelPath)||""));let r=Object.values(dn[0].modelSignature.inputs);Vo[0][0]=Array.isArray(r)?parseInt(r[0].tensorShape.dim[1].size):0,Vo[0][1]=Array.isArray(r)?parseInt(r[0].tensorShape.dim[2].size):0,!dn[0]||!dn[0].modelUrl?ae("load model failed:",(s=e.body.detector)==null?void 0:s.modelPath):e.debug&&ae("load model:",dn[0].modelUrl)}else e.debug&&dn[0]&&ae("cached model:",dn[0].modelUrl);return dn[0]}async function Z6(e){var t;if(q6.initial&&(dn[1]=null),dn[1])e.debug&&ae("cached model:",dn[1].modelUrl);else{dn[1]=await st(at(e.modelBasePath,e.body.modelPath||""));let n=Object.values(dn[1].modelSignature.inputs);Vo[1][0]=Array.isArray(n)?parseInt(n[0].tensorShape.dim[1].size):0,Vo[1][1]=Array.isArray(n)?parseInt(n[0].tensorShape.dim[2].size):0,((t=e.body.modelPath)==null?void 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i=Zn.keypoints.map(p=>p.position[0]),l=Zn.keypoints.map(p=>p.position[1]);Zn.box=[Math.min(...i),Math.min(...l),Math.max(...i)-Math.min(...i),Math.max(...l)-Math.min(...l)];let c=Zn.keypoints.map(p=>p.positionRaw[0]),u=Zn.keypoints.map(p=>p.positionRaw[1]);Zn.boxRaw=[Math.min(...c),Math.min(...u),Math.max(...c)-Math.min(...c),Math.max(...u)-Math.min(...u)];for(let[p,h]of Object.entries(Ux)){let f=[];for(let m=0;my.part===h[m]),A=Zn.keypoints.find(y=>y.part===h[m+1]);g&&A&&g.score>(t.body.minConfidence||0)&&A.score>(t.body.minConfidence||0)&&f.push([g.position,A.position])}Zn.annotations[p]=f}r([Zn])}))}var hge=["angry","disgust","fear","happy","sad","surprise","neutral"],hn,jm=[],t8=0,n8=0,Xx=Number.MAX_SAFE_INTEGER,Kx=[.2989,.587,.114];async function s8(e){var t,n;return ye.initial&&(hn=null),hn?e.debug&&ae("cached model:",hn.modelUrl):(hn=await st(at(e.modelBasePath,((t=e.face.emotion)==null?void 0:t.modelPath)||"")),!hn||!hn.modelUrl?ae("load model 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0:d.minConfidence)||0)&&c.push({score:Math.min(.99,Math.trunc(100*k[S])/100),emotion:hge[S]});c.sort((S,E)=>E.score-S.score),Q(b)}jm[n]=c,t8=s,l(c)}))}var er,Go=0,fge=2.3,Yx=Lr.leftEyeLower0,Jx=Lr.rightEyeLower0,pc={leftBounds:[Yx[0],Yx[Yx.length-1]],rightBounds:[Jx[0],Jx[Jx.length-1]]},hc={upperCenter:3,lowerCenter:4,index:71,numCoordinates:76};async function r8(e){var t,n;return ye.initial&&(er=null),er?e.debug&&ae("cached model:",er.modelUrl):(er=await st(at(e.modelBasePath,((t=e.face.iris)==null?void 0:t.modelPath)||"")),!er||!er.modelUrl?ae("load model failed:",(n=e.face.iris)==null?void 0:n.modelPath):e.debug&&ae("load model:",er.modelUrl)),Go=er.inputs[0].shape?er.inputs[0].shape[2]:0,Go===-1&&(Go=64),er}function qm(e,t,n,s){for(let r=0;r{let t=e[pc.leftBounds[0]][2],n=e[pc.rightBounds[0]][2];return t-n},a8=(e,t,n,s,r=!1,a)=>{let o=fp(hp(Vm([e[n],e[s]]),fge)),i=pp(o),l=$e.cropAndResize(t,[[o.startPoint[1]/a,o.startPoint[0]/a,o.endPoint[1]/a,o.endPoint[0]/a]],[0],[Go,Go]);if(r&&ye.kernels.includes("flipleftright")){let c=$e.flipLeftRight(l);Q(l),l=c}return{box:o,boxSize:i,crop:l}},o8=(e,t,n,s=!1)=>{let r=[];for(let a=0;a{let s=e[Lr[`${n}EyeUpper0`][hc.upperCenter]][2],r=e[Lr[`${n}EyeLower0`][hc.lowerCenter]][2],a=(s+r)/2;return t.map((o,i)=>{let l=a;return i===2?l=s:i===4&&(l=r),[o[0],o[1],l]})};async function l8(e,t,n,s){if(!er)return n.debug&&ae("face mesh iris detection requested, but model is not loaded"),e;let{box:r,boxSize:a,crop:o}=a8(e,t,pc.leftBounds[0],pc.leftBounds[1],!0,s),{box:i,boxSize:l,crop:c}=a8(e,t,pc.rightBounds[0],pc.rightBounds[1],!0,s),u=It([o,c]);Q(o),Q(c);let d=er.predict(u);Q(u);let p=await d.data();Q(d);let h=p.slice(0,hc.numCoordinates*3),{rawCoords:f,iris:m}=o8(h,r,a,!0),g=p.slice(hc.numCoordinates*3),{rawCoords:A,iris:y}=o8(g,i,l),x=mge(e);Math.abs(x)<30?(qm(e,f,"left",null),qm(e,A,"right",null)):x<1?qm(e,f,"left",["EyeUpper0","EyeLower0"]):qm(e,A,"right",["EyeUpper0","EyeLower0"]);let b=i8(e,m,"left"),w=i8(e,y,"right");return e.concat(b).concat(w)}var Br=[],tr=null,xr=0,Qx=Number.MAX_SAFE_INTEGER,u8=0,c8=0;async function d8(e,t){var i,l,c,u,d,p,h,f,m,g,A;let n=(((i=t.face.detector)==null?void 0:i.skipTime)||0)>pe()-u8,s=Qx<(((l=t.face.detector)==null?void 0:l.skipFrames)||0);if(!t.skipAllowed||!n||!s||c8===0){let y=await j6(e,t);u8=pe(),Br=[];for(let x of y.boxes){let b=await x.box.startPoint.data(),w=await x.box.endPoint.data(),k=await x.landmarks.array();Br.push({startPoint:b,endPoint:w,landmarks:k,confidence:x.confidence})}y.boxes.forEach(x=>Q([x.box.startPoint,x.box.endPoint,x.landmarks]));for(let x=0;x[P[0]/(e.shape[2]||0),P[1]/(e.shape[1]||0),(P[2]||0)/xr]),y={...hp(Vm(w.mesh),1.5),confidence:y.confidence};for(let P of Object.keys(Lr))w.annotations[P]=Lr[P].map(T=>w.mesh[T]);((m=t.face.detector)==null?void 0:m.rotation)&&t.face.mesh.enabled&&((g=t.face.description)==null?void 0:g.enabled)&&ye.kernels.includes("rotatewithoffset")&&(Q(w.tensor),[x,b,w.tensor]=Dx(y,e,xr)),w.box=Ex(y,e),w.boxRaw=Rx(y,e),w.score=Math.round(100*$||100*y.confidence||0)/100,w.faceScore=Math.round(100*$)/100,y={...fp(y),confidence:y.confidence,faceConfidence:$}}}else{w.box=Ex(y,e),w.boxRaw=Rx(y,e),w.score=Math.round(100*y.confidence||0)/100,w.mesh=y.landmarks.map(k=>[(y.startPoint[0]+y.endPoint[0])/2+(y.endPoint[0]+y.startPoint[0])*k[0]/mp(),(y.startPoint[1]+y.endPoint[1])/2+(y.endPoint[1]+y.startPoint[1])*k[1]/mp()]),w.meshRaw=w.mesh.map(k=>[k[0]/(e.shape[2]||0),k[1]/(e.shape[1]||0),(k[2]||0)/xr]);for(let k of Object.keys(cp))w.annotations[k]=[w.mesh[cp[k]]]}r.push(w),a.push(y)}return((A=t.face.mesh)==null?void 0:A.enabled)&&(Br=a.filter(y=>{var x;return y.confidence>(((x=t.face.detector)==null?void 0:x.minConfidence)||0)})),c8=r.length,r}async function p8(e){var t,n;return ye.initial&&(tr=null),tr?e.debug&&ae("cached model:",tr.modelUrl):(tr=await st(at(e.modelBasePath,((t=e.face.mesh)==null?void 0:t.modelPath)||"")),!tr||!tr.modelUrl?ae("load model failed:",(n=e.face.mesh)==null?void 0:n.modelPath):e.debug&&ae("load model:",tr.modelUrl)),xr=tr.inputs[0].shape?tr.inputs[0].shape[2]:0,xr===-1&&(xr=64),tr}var h8=kl,f8=dp;var Yn,Xm=[],m8=0,g8=0,eb=Number.MAX_SAFE_INTEGER;async function A8(e){var n,s;let t=at(e.modelBasePath,((n=e.face.description)==null?void 0:n.modelPath)||"");return ye.initial&&(Yn=null),Yn?e.debug&&ae("cached model:",t):(Yn=await st(t),Yn?e.debug&&ae("load model:",t):ae("load model failed:",((s=e.face.description)==null?void 0:s.modelPath)||"")),Yn}function tb(e){return j(()=>{let n=e.image||e.tensor||e;if(!(n instanceof Ye))return null;let s=[[.05,.15,.85,.85]];if(!(Yn==null?void 0:Yn.inputs[0].shape))return null;let r=n.shape.length===3?$e.cropAndResize(Kt(n,0),s,[0],[Yn.inputs[0].shape[2],Yn.inputs[0].shape[1]]):$e.cropAndResize(n,s,[0],[Yn.inputs[0].shape[2],Yn.inputs[0].shape[1]]);return W(r,255)})}async function nb(e,t,n,s){var o,i,l,c;if(!Yn)return null;let r=eb<(((o=t.face.description)==null?void 0:o.skipFrames)||0),a=(((i=t.face.description)==null?void 0:i.skipTime)||0)>pe()-m8;return t.skipAllowed&&r&&a&&g8===s&&((l=Xm[n])==null?void 0:l.age)&&((c=Xm[n])==null?void 0:c.age)>0?(eb++,Xm[n]):(eb=0,new Promise(async u=>{var p,h;let d={age:0,gender:"unknown",genderScore:0,descriptor:[]};if((p=t.face.description)==null?void 0:p.enabled){let f=tb(e),m=await(Yn==null?void 0:Yn.predict(f));m8=pe(),Q(f);let A=await(await m.find($=>$.shape[1]===1)).data(),y=Math.trunc(200*Math.abs(A[0]-.5))/100;y>(((h=t.face.description)==null?void 0:h.minConfidence)||0)&&(d.gender=A[0]<=.5?"female":"male",d.genderScore=Math.min(.99,y));let x=Hs(m.find($=>$.shape[1]===100),1),b=(await x.data())[0];Q(x);let k=await m.find($=>$.shape[1]===100).data();d.age=Math.round(k[b-1]>k[b+1]?10*b-100*k[b-1]:10*b+100*k[b+1])/10;let S=m.find($=>$.shape[1]===1024),E=S?await S.data():[];d.descriptor=Array.from(E),m.forEach($=>Q($))}Xm[n]=d,g8=s,u(d)}))}function Km(e){return[Math.abs(e.endPoint[0]-e.startPoint[0]),Math.abs(e.endPoint[1]-e.startPoint[1])]}function gp(e){return[e.startPoint[0]+(e.endPoint[0]-e.startPoint[0])/2,e.startPoint[1]+(e.endPoint[1]-e.startPoint[1])/2]}function y8(e,t,n){let s=t.shape[1],r=t.shape[2],a=[[e.startPoint[1]/s,e.startPoint[0]/r,e.endPoint[1]/s,e.endPoint[0]/r]];return $e.cropAndResize(t,a,[0],n)}function x8(e,t){let n=[e.startPoint[0]*t[0],e.startPoint[1]*t[1]],s=[e.endPoint[0]*t[0],e.endPoint[1]*t[1]],r=e.palmLandmarks.map(a=>[a[0]*t[0],a[1]*t[1]]);return{startPoint:n,endPoint:s,palmLandmarks:r,confidence:e.confidence}}function Zm(e,t=1.5){let n=gp(e),s=Km(e),r=[t*s[0]/2,t*s[1]/2],a=[n[0]-r[0],n[1]-r[1]],o=[n[0]+r[0],n[1]+r[1]];return{startPoint:a,endPoint:o,palmLandmarks:e.palmLandmarks}}function Ym(e){let t=gp(e),n=Km(e),r=Math.max(...n)/2,a=[t[0]-r,t[1]-r],o=[t[0]+r,t[1]+r];return{startPoint:a,endPoint:o,palmLandmarks:e.palmLandmarks}}function gge(e){return e-2*Math.PI*Math.floor((e+Math.PI)/(2*Math.PI))}function b8(e,t){let n=Math.PI/2-Math.atan2(-(t[1]-e[1]),t[0]-e[0]);return gge(n)}var v8=(e,t)=>[[1,0,e],[0,1,t],[0,0,1]];function Ho(e,t){let n=0;for(let 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of[Ze.index,Ze.middle,Ze.ring,Ze.pinky])jo.addCurl(e,cs.full,1),jo.addDirection(e,qe.horizontalLeft,1),jo.addDirection(e,qe.horizontalRight,1);var tn=new Jm("victory");tn.addCurl(Ze.thumb,cs.half,.5);tn.addCurl(Ze.thumb,cs.none,.5);tn.addDirection(Ze.thumb,qe.verticalUp,1);tn.addDirection(Ze.thumb,qe.diagonalUpLeft,1);tn.addCurl(Ze.index,cs.none,1);tn.addDirection(Ze.index,qe.verticalUp,.75);tn.addDirection(Ze.index,qe.diagonalUpLeft,1);tn.addCurl(Ze.middle,cs.none,1);tn.addDirection(Ze.middle,qe.verticalUp,1);tn.addDirection(Ze.middle,qe.diagonalUpLeft,.75);tn.addCurl(Ze.ring,cs.full,1);tn.addDirection(Ze.ring,qe.verticalUp,.2);tn.addDirection(Ze.ring,qe.diagonalUpLeft,1);tn.addDirection(Ze.ring,qe.horizontalLeft,.2);tn.addCurl(Ze.pinky,cs.full,1);tn.addDirection(Ze.pinky,qe.verticalUp,.2);tn.addDirection(Ze.pinky,qe.diagonalUpLeft,1);tn.addDirection(Ze.pinky,qe.horizontalLeft,.2);tn.setWeight(Ze.index,2);tn.setWeight(Ze.middle,2);var N8=[jo,tn];var vge=.7,Cl={HALF_CURL_START_LIMIT:60,NO_CURL_START_LIMIT:130,DISTANCE_VOTE_POWER:1.1,SINGLE_ANGLE_VOTE_POWER:.9,TOTAL_ANGLE_VOTE_POWER:1.6};function E8(e,t,n,s){let r=(t-s)/(e-n),a=Math.atan(r)*180/Math.PI;return a<=0?a=-a:a>0&&(a=180-a),a}function R8(e,t){if(!e||!t)return[0,0];let n=E8(e[0],e[1],t[0],t[1]);if(e.length===2)return n;let s=E8(e[1],e[2],t[1],t[2]);return[n,s]}function $8(e,t=1){let n=0,s=0,r=0;return e>=75&&e<=105?n=1*t:e>=25&&e<=155?s=1*t:r=1*t,[n,s,r]}function wge(e,t,n){let s=e[0]-t[0],r=e[0]-n[0],a=t[0]-n[0],o=e[1]-t[1],i=e[1]-n[1],l=t[1]-n[1],c=e[2]-t[2],u=e[2]-n[2],d=t[2]-n[2],p=Math.sqrt(s*s+o*o+c*c),h=Math.sqrt(r*r+i*i+u*u),f=Math.sqrt(a*a+l*l+d*d),m=(f*f+p*p-h*h)/(2*f*p);m>1?m=1:m<-1&&(m=-1);let g=Math.acos(m);g=57.2958*g%180;let A;return g>Cl.NO_CURL_START_LIMIT?A=cs.none:g>Cl.HALF_CURL_START_LIMIT?A=cs.half:A=cs.full,A}function D8(e,t,n,s){let r;return s===Math.abs(e)?e>0?r=qe.horizontalLeft:r=qe.horizontalRight:s===Math.abs(t)?t>0?r=qe.horizontalLeft:r=qe.horizontalRight:n>0?r=qe.horizontalLeft:r=qe.horizontalRight,r}function _8(e,t,n,s){let r;return s===Math.abs(e)?e<0?r=qe.verticalDown:r=qe.verticalUp:s===Math.abs(t)?t<0?r=qe.verticalDown:r=qe.verticalUp:n<0?r=qe.verticalDown:r=qe.verticalUp,r}function kge(e,t,n,s,r,a,o,i){let l,c=_8(e,t,n,s),u=D8(r,a,o,i);return c===qe.verticalUp?u===qe.horizontalLeft?l=qe.diagonalUpLeft:l=qe.diagonalUpRight:u===qe.horizontalLeft?l=qe.diagonalDownLeft:l=qe.diagonalDownRight,l}function Ige(e,t,n,s){let r=e[0]-t[0],a=e[0]-n[0],o=t[0]-n[0],i=e[1]-t[1],l=e[1]-n[1],c=t[1]-n[1],u=Math.max(Math.abs(r),Math.abs(a),Math.abs(o)),d=Math.max(Math.abs(i),Math.abs(l),Math.abs(c)),p=0,h=0,f=0,m=d/(u+1e-5);m>1.5?p+=Cl.DISTANCE_VOTE_POWER:m>.66?h+=Cl.DISTANCE_VOTE_POWER:f+=Cl.DISTANCE_VOTE_POWER;let g=Math.sqrt(r*r+i*i),A=Math.sqrt(a*a+l*l),y=Math.sqrt(o*o+c*c),x=Math.max(g,A,y),b=e[0],w=e[1],k=n[0],S=n[1];x===g?(k=n[0],S=n[1]):x===y&&(b=t[0],w=t[1]);let F=R8([b,w],[k,S]),R=$8(F,Cl.TOTAL_ANGLE_VOTE_POWER);p+=R[0],h+=R[1],f+=R[2];for(let T of s){let M=$8(T,Cl.SINGLE_ANGLE_VOTE_POWER);p+=M[0],h+=M[1],f+=M[2]}let P;return p===Math.max(p,h,f)?P=_8(l,i,c,d):f===Math.max(h,f)?P=D8(a,r,o,u):P=kge(l,i,c,d,a,r,o,u),P}function P8(e){let t=[],n=[],s=[],r=[];if(!e)return{curls:s,directions:r};for(let a of Ze.all){let o=Ze.getPoints(a),i=[],l=[];for(let c of o){let u=e[c[0]],d=e[c[1]],p=R8(u,d),h=p[0],f=p[1];i.push(h),l.push(f)}t.push(i),n.push(l)}for(let a of Ze.all){let o=a===Ze.thumb?1:0,i=Ze.getPoints(a),l=e[i[o][0]],c=e[i[o+1][1]],u=e[i[3][1]],d=wge(l,c,u),p=Ige(l,c,u,t[a].slice(o));s[a]=d,r[a]=p}return{curls:s,directions:r}}function Qm(e){if(!e||e.length===0)return null;let t=P8(e),n={};for(let s of Ze.all)n[Ze.getName(s)]={curl:cs.getName(t.curls[s]),direction:qe.getName(t.directions[s])};return n}function F8(e){let t=[];if(!e||e.length===0)return t;let n=P8(e);for(let s of N8){let r=s.matchAgainst(n.curls,n.directions);r>=vge&&t.push({name:s.name,confidence:r})}return t}var O8={thumb:[1,2,3,4],index:[5,6,7,8],middle:[9,10,11,12],ring:[13,14,15,16],pinky:[17,18,19,20],palm:[0]},la,ua,M8;async function ib(e,t){let n=await M8.estimateHands(e,t);if(!n)return[];let s=[];for(let r=0;rn[r].landmarks[d]);let o=n[r].landmarks,i=[Number.MAX_SAFE_INTEGER,Number.MAX_SAFE_INTEGER,0,0],l=[0,0,0,0];if(o&&o.length>0){for(let u of o)u[0]i[2]&&(i[2]=u[0]),u[1]>i[3]&&(i[3]=u[1]);i[2]-=i[0],i[3]-=i[1],l=[i[0]/(e.shape[2]||0),i[1]/(e.shape[1]||0),i[2]/(e.shape[2]||0),i[3]/(e.shape[1]||0)]}else i=n[r].box?[Math.trunc(Math.max(0,n[r].box.topLeft[0])),Math.trunc(Math.max(0,n[r].box.topLeft[1])),Math.trunc(Math.min(e.shape[2]||0,n[r].box.bottomRight[0])-Math.max(0,n[r].box.topLeft[0])),Math.trunc(Math.min(e.shape[1]||0,n[r].box.bottomRight[1])-Math.max(0,n[r].box.topLeft[1]))]:[0,0,0,0],l=[n[r].box.topLeft[0]/(e.shape[2]||0),n[r].box.topLeft[1]/(e.shape[1]||0),(n[r].box.bottomRight[0]-n[r].box.topLeft[0])/(e.shape[2]||0),(n[r].box.bottomRight[1]-n[r].box.topLeft[1])/(e.shape[1]||0)];let c=Qm(o);s.push({id:r,score:Math.round(100*n[r].confidence)/100,boxScore:Math.round(100*n[r].boxConfidence)/100,fingerScore:Math.round(100*n[r].fingerConfidence)/100,label:"hand",box:i,boxRaw:l,keypoints:o,annotations:a,landmarks:c})}return s}async function lb(e){var n,s,r,a,o,i;ye.initial&&(la=null,ua=null),!la||!ua?([la,ua]=await Promise.all([e.hand.enabled?st(at(e.modelBasePath,((n=e.hand.detector)==null?void 0:n.modelPath)||""),{fromTFHub:(((s=e.hand.detector)==null?void 0:s.modelPath)||"").includes("tfhub.dev")}):null,e.hand.landmarks?st(at(e.modelBasePath,((r=e.hand.skeleton)==null?void 0:r.modelPath)||""),{fromTFHub:(((a=e.hand.skeleton)==null?void 0:a.modelPath)||"").includes("tfhub.dev")}):null]),e.hand.enabled&&(!la||!la.modelUrl?ae("load model failed:",((o=e.hand.detector)==null?void 0:o.modelPath)||""):e.debug&&ae("load model:",la.modelUrl),!ua||!ua.modelUrl?ae("load model failed:",((i=e.hand.skeleton)==null?void 0:i.modelPath)||""):e.debug&&ae("load model:",ua.modelUrl))):(e.debug&&ae("cached model:",la.modelUrl),e.debug&&ae("cached model:",ua.modelUrl));let t=new ab(la);return M8=new ob(t,ua),[la,ua]}function Tl(e,t=[1,1]){let n=[e.map(i=>i[0]),e.map(i=>i[1])],s=[Math.min(...n[0]),Math.min(...n[1])],r=[Math.max(...n[0]),Math.max(...n[1])],a=[s[0],s[1],r[0]-s[0],r[1]-s[1]],o=[a[0]/t[0],a[1]/t[1],a[2]/t[0],a[3]/t[1]];return{box:a,boxRaw:o}}function z8(e,t=[1,1]){let n=[e.map(c=>c[0]),e.map(c=>c[1])],s=[Math.min(...n[0]),Math.min(...n[1])],r=[Math.max(...n[0]),Math.max(...n[1])],a=[(s[0]+r[0])/2,(s[1]+r[1])/2],o=Math.max(a[0]-s[0],a[1]-s[1],-a[0]+r[0],-a[1]+r[1]),i=[Math.trunc(a[0]-o),Math.trunc(a[1]-o),Math.trunc(2*o),Math.trunc(2*o)],l=[i[0]/t[0],i[1]/t[1],i[2]/t[0],i[3]/t[1]];return{box:i,boxRaw:l}}function e0(e,t){let n=[e[2]*t,e[3]*t];return[e[0]-(n[0]-e[2])/2,e[1]-(n[1]-e[3])/2,n[0],n[1]]}function ub(e){return[Math.max(0,e[1]),Math.max(0,e[0]),Math.min(1,e[3]+e[1]),Math.min(1,e[2]+e[0])]}var Nt=[null,null],Sge=["StatefulPartitionedCall/Postprocessor/Slice","StatefulPartitionedCall/Postprocessor/ExpandDims_1"],qo=[[0,0],[0,0]],Cge=["hand","fist","pinch","point","face","tip","pinchtip"],L8=4,B8=1.6,Tge=512,Nge=1.4,t0=Number.MAX_SAFE_INTEGER,cb=0,ca=[0,0],Xt={boxes:[],hands:[]},W8={thumb:[1,2,3,4],index:[5,6,7,8],middle:[9,10,11,12],ring:[13,14,15,16],pinky:[17,18,19,20],palm:[0]};async function V8(e){var t,n;if(ye.initial&&(Nt[0]=null),Nt[0])e.debug&&ae("cached model:",Nt[0].modelUrl);else{dc(["tensorlistreserve","enter","tensorlistfromtensor","merge","loopcond","switch","exit","tensorliststack","nextiteration","tensorlistsetitem","tensorlistgetitem","reciprocal","shape","split","where"],e),Nt[0]=await st(at(e.modelBasePath,((t=e.hand.detector)==null?void 0:t.modelPath)||""));let s=Object.values(Nt[0].modelSignature.inputs);qo[0][0]=Array.isArray(s)?parseInt(s[0].tensorShape.dim[1].size):0,qo[0][1]=Array.isArray(s)?parseInt(s[0].tensorShape.dim[2].size):0,!Nt[0]||!Nt[0].modelUrl?ae("load model failed:",(n=e.hand.detector)==null?void 0:n.modelPath):e.debug&&ae("load model:",Nt[0].modelUrl)}return Nt[0]}async function U8(e){var t,n;if(ye.initial&&(Nt[1]=null),Nt[1])e.debug&&ae("cached model:",Nt[1].modelUrl);else{Nt[1]=await st(at(e.modelBasePath,((t=e.hand.skeleton)==null?void 0:t.modelPath)||""));let s=Object.values(Nt[1].modelSignature.inputs);qo[1][0]=Array.isArray(s)?parseInt(s[0].tensorShape.dim[1].size):0,qo[1][1]=Array.isArray(s)?parseInt(s[0].tensorShape.dim[2].size):0,!Nt[1]||!Nt[1].modelUrl?ae("load model failed:",(n=e.hand.skeleton)==null?void 0:n.modelPath):e.debug&&ae("load model:",Nt[1].modelUrl)}return Nt[1]}async function Ege(e,t){let n=[];if(!e||!Nt[0])return n;let s={},r=(e.shape[2]||1)/(e.shape[1]||1),a=Math.min(Math.round((e.shape[1]||0)/8)*8,Tge),o=Math.round(a*r/8)*8;s.resize=$e.resizeBilinear(e,[a,o]),s.cast=he(s.resize,"int32"),[s.rawScores,s.rawBoxes]=await Nt[0].executeAsync(s.cast,Sge),s.boxes=pt(s.rawBoxes,[0,2]),s.scores=pt(s.rawScores,[0]);let i=as(s.scores,1);Q(i[L8]),i.splice(L8,1),s.filtered=Pn(i,1),Q(i),s.max=rs(s.filtered,1),s.argmax=Hs(s.filtered,1);let l=0;s.nms=await $e.nonMaxSuppressionAsync(s.boxes,s.max,t.hand.maxDetected,t.hand.iouThreshold,t.hand.minConfidence);let c=await s.nms.data(),u=await s.max.data(),d=await s.argmax.data();for(let p of Array.from(c)){let h=_e(s.boxes,p,1),f=await h.data();Q(h);let m=[f[1],f[0],f[3]-f[1],f[2]-f[0]],g=e0(m,Nge),A=ub(g),y=[Math.trunc(m[0]*ca[0]),Math.trunc(m[1]*ca[1]),Math.trunc(m[2]*ca[0]),Math.trunc(m[3]*ca[1])],x=u[p],b=Cge[d[p]],w={id:l++,score:x,box:y,boxRaw:g,boxCrop:A,label:b};n.push(w)}return Object.keys(s).forEach(p=>Q(s[p])),n.sort((p,h)=>h.score-p.score),n.length>(t.hand.maxDetected||1)&&(n.length=t.hand.maxDetected||1),n}async function db(e,t,n){let s={id:t.id,score:Math.round(100*t.score)/100,boxScore:Math.round(100*t.score)/100,fingerScore:0,box:t.box,boxRaw:t.boxRaw,label:t.label,keypoints:[],landmarks:{},annotations:{}};if(e&&Nt[1]&&n.hand.landmarks&&t.score>(n.hand.minConfidence||0)){let r={};r.crop=$e.cropAndResize(e,[t.boxCrop],[0],[qo[1][0],qo[1][1]],"bilinear"),r.cast=he(r.crop,"float32"),r.div=fe(r.cast,255),[r.score,r.keypoints]=Nt[1].execute(r.div);let a=(await r.score.data())[0],o=(100-Math.trunc(100/(1+Math.exp(a))))/100;if(o>=(n.hand.minConfidence||0)){s.fingerScore=o,r.reshaped=G(r.keypoints,[-1,3]);let c=(await r.reshaped.array()).map(u=>[u[0]/qo[1][1],u[1]/qo[1][0],u[2]||0]).map(u=>[u[0]*t.boxRaw[2],u[1]*t.boxRaw[3],u[2]||0]);s.keypoints=c.map(u=>[ca[0]*(u[0]+t.boxRaw[0]),ca[1]*(u[1]+t.boxRaw[1]),u[2]||0]),s.landmarks=Qm(s.keypoints);for(let u of Object.keys(W8))s.annotations[u]=W8[u].map(d=>s.landmarks&&s.keypoints[d]?s.keypoints[d]:null)}Object.keys(r).forEach(i=>Q(r[i]))}return s}async function pb(e,t){var r,a;if(!Nt[0]||!Nt[1]||!((r=Nt[0])==null?void 0:r.inputs[0].shape)||!((a=Nt[1])==null?void 0:a.inputs[0].shape))return[];ca=[e.shape[2]||0,e.shape[1]||0],t0++;let n=(t.hand.skipTime||0)>pe()-cb,s=t0<(t.hand.skipFrames||0);return t.skipAllowed&&n&&s?Xt.hands:new Promise(async o=>{let i=3*(t.hand.skipTime||0)>pe()-cb,l=t0<3*(t.hand.skipFrames||0);t.skipAllowed&&Xt.hands.length===t.hand.maxDetected?Xt.hands=await Promise.all(Xt.boxes.map(u=>db(e,u,t))):t.skipAllowed&&i&&l&&Xt.hands.length>0?Xt.hands=await Promise.all(Xt.boxes.map(u=>db(e,u,t))):(Xt.boxes=await Ege(e,t),cb=pe(),Xt.hands=await Promise.all(Xt.boxes.map(u=>db(e,u,t))),t0=0);let c=[...Xt.boxes];if(Xt.boxes.length=0,t.cacheSensitivity>0)for(let u=0;u.05&&d.box[3]/(e.shape[1]||1)>.05&&Xt.hands[u].fingerScore&&Xt.hands[u].fingerScore>(t.hand.minConfidence||0)){let p=e0(d.box,B8),h=e0(d.boxRaw,B8),f=ub(h);Xt.boxes.push({...c[u],box:p,boxRaw:h,boxCrop:f})}}for(let u=0;us0,horizontal:()=>hb,kpt:()=>n0,relative:()=>mb,vertical:()=>fb});var n0=["nose","leftEye","rightEye","leftEar","rightEar","leftShoulder","rightShoulder","leftElbow","rightElbow","leftWrist","rightWrist","leftHip","rightHip","leftKnee","rightKnee","leftAnkle","rightAnkle"],hb=[["leftEye","rightEye"],["leftEar","rightEar"],["leftShoulder","rightShoulder"],["leftElbow","rightElbow"],["leftWrist","rightWrist"],["leftHip","rightHip"],["leftKnee","rightKnee"],["leftAnkle","rightAnkle"]],fb=[["leftKnee","leftShoulder"],["rightKnee","rightShoulder"],["leftAnkle","leftKnee"],["rightAnkle","rightKnee"]],mb=[[["leftHip","rightHip"],["leftShoulder","rightShoulder"]],[["leftElbow","rightElbow"],["leftShoulder","rightShoulder"]]],s0={leftLeg:["leftHip","leftKnee","leftAnkle"],rightLeg:["rightHip","rightKnee","rightAnkle"],torso:["leftShoulder","rightShoulder","rightHip","leftHip","leftShoulder"],leftArm:["leftShoulder","leftElbow","leftWrist"],rightArm:["rightShoulder","rightElbow","rightWrist"],head:[]};var G8=.005,vs={keypoints:[],padding:[[0,0],[0,0],[0,0],[0,0]]};function Ab(e){for(let t of hb){let n=e.keypoints.findIndex(r=>r.part===t[0]),s=e.keypoints.findIndex(r=>r.part===t[1]);if(e.keypoints[n]&&e.keypoints[s]&&e.keypoints[n].position[0]r&&r.part===t[0]),s=e.keypoints.findIndex(r=>r&&r.part===t[1]);e.keypoints[n]&&e.keypoints[s]&&e.keypoints[n].position[1]c&&c.part===t[0]),r=e.keypoints.findIndex(c=>c&&c.part===t[1]),a=e.keypoints.findIndex(c=>c&&c.part===n[0]),o=e.keypoints.findIndex(c=>c&&c.part===n[1]);if(!e.keypoints[a]||!e.keypoints[o])continue;let i=e.keypoints[s]?[Math.abs(e.keypoints[a].position[0]-e.keypoints[s].position[0]),Math.abs(e.keypoints[o].position[0]-e.keypoints[s].position[0])]:[0,0],l=e.keypoints[r]?[Math.abs(e.keypoints[o].position[0]-e.keypoints[r].position[0]),Math.abs(e.keypoints[a].position[0]-e.keypoints[r].position[0])]:[0,0];if(i[0]>i[1]||l[0]>l[1]){let c=e.keypoints[s];e.keypoints[s]=e.keypoints[r],e.keypoints[r]=c}}}function H8(e){for(let t=0;te.shape[1]?Math.trunc((e.shape[2]-e.shape[1])/2):0,e.shape[2]>e.shape[1]?Math.trunc((e.shape[2]-e.shape[1])/2):0],[e.shape[1]>e.shape[2]?Math.trunc((e.shape[1]-e.shape[2])/2):0,e.shape[1]>e.shape[2]?Math.trunc((e.shape[1]-e.shape[2])/2):0],[0,0]],n.pad=qs(e,vs.padding),n.resize=$e.resizeBilinear(n.pad,[t,t]);let s=he(n.resize,"int32");return Object.keys(n).forEach(r=>Q(n[r])),s}function q8(e,t){e.keypoints=e.keypoints.filter(s=>s&&s.position);for(let s of e.keypoints)s.position=[s.position[0]*(t[0]+vs.padding[2][0]+vs.padding[2][1])/t[0]-vs.padding[2][0],s.position[1]*(t[1]+vs.padding[1][0]+vs.padding[1][1])/t[1]-vs.padding[1][0]],s.positionRaw=[s.position[0]/t[0],s.position[1]/t[1]];let n=Tl(e.keypoints.map(s=>s.position),t);return e.box=n.box,e.boxRaw=n.boxRaw,e}var Fn,r0=0,yb=Number.MAX_SAFE_INTEGER,Nl={boxes:[],bodies:[],last:0};async function X8(e){return ye.initial&&(Fn=null),Fn?e.debug&&ae("cached model:",Fn.modelUrl):(dc(["size"],e),Fn=await st(at(e.modelBasePath,e.body.modelPath||"")),!Fn||!Fn.modelUrl?ae("load model failed:",e.body.modelPath):e.debug&&ae("load model:",Fn.modelUrl)),r0=Fn.inputs[0].shape?Fn.inputs[0].shape[2]:0,r0===-1&&(r0=256),Fn}async function Rge(e,t,n,s){let r=e[0][0],a=[],o=0;for(let d=0;dt.body.minConfidence){let p=[(s[3]-s[1])*r[d][1]+s[1],(s[2]-s[0])*r[d][0]+s[0]];a.push({score:Math.round(100*o)/100,part:n0[d],positionRaw:p,position:[Math.round((n.shape[2]||0)*p[0]),Math.round((n.shape[1]||0)*p[1])]})}o=a.reduce((d,p)=>p.score>d?p.score:d,0);let i=[],l=Tl(a.map(d=>d.position),[n.shape[2],n.shape[1]]),c={};for(let[d,p]of Object.entries(s0)){let h=[];for(let f=0;fA.part===p[f]),g=a.find(A=>A.part===p[f+1]);m&&g&&m.score>(t.body.minConfidence||0)&&g.score>(t.body.minConfidence||0)&&h.push([m.position,g.position])}c[d]=h}let u={id:0,score:o,box:l.box,boxRaw:l.boxRaw,keypoints:a,annotations:c};return Ab(u),i.push(u),i}async function $ge(e,t,n,s){let r=[];for(let a=0;at.body.minConfidence){let 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o=Ln.keypoints.map(c=>c.position[0]),l=Ln.keypoints.map(c=>c.position[1]);Ln.box=[Math.min(...o),Math.min(...l),Math.max(...o)-Math.min(...o),Math.max(...l)-Math.min(...l)];let d=Ln.keypoints.map(c=>c.positionRaw[0]),u=Ln.keypoints.map(c=>c.positionRaw[1]);Ln.boxRaw=[Math.min(...d),Math.min(...u),Math.max(...d)-Math.min(...d),Math.max(...u)-Math.min(...u)];for(let[c,h]of Object.entries(Sx)){let f=[];for(let m=0;mA.part===h[m]),y=Ln.keypoints.find(A=>A.part===h[m+1]);g&&y&&g.score>(t.body.minConfidence||0)&&y.score>(t.body.minConfidence||0)&&f.push([g.position,y.position])}Ln.annotations[c]=f}r([Ln])}))}var ade=["angry","disgust","fear","happy","sad","surprise","neutral"],on,_f=[],E9=0,R9=0,Rx=Number.MAX_SAFE_INTEGER,Mx=[.2989,.587,.114];async function M9(e){var t,n;return ye.initial&&(on=null),on?e.debug&&se("cached model:",on.modelUrl):(on=await et(tt(e.modelBasePath,((t=e.face.emotion)==null?void 0:t.modelPath)||"")),!on||!on.modelUrl?se("load model 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0:p.minConfidence)||0)&&d.push({score:Math.min(.99,Math.trunc(100*k[T])/100),emotion:ade[T]});d.sort((T,C)=>C.score-T.score),Q(b)}_f[n]=d,E9=a,l(d)}))}var Ga,Ls=0,rde=2.3,Dx=Tr.leftEyeLower0,$x=Tr.rightEyeLower0,Hu={leftBounds:[Dx[0],Dx[Dx.length-1]],rightBounds:[$x[0],$x[$x.length-1]]},qu={upperCenter:3,lowerCenter:4,index:71,numCoordinates:76};async function F9(e){var t,n;return ye.initial&&(Ga=null),Ga?e.debug&&se("cached model:",Ga.modelUrl):(Ga=await et(tt(e.modelBasePath,((t=e.face.iris)==null?void 0:t.modelPath)||"")),!Ga||!Ga.modelUrl?se("load model failed:",(n=e.face.iris)==null?void 0:n.modelPath):e.debug&&se("load model:",Ga.modelUrl)),Ls=Ga.inputs[0].shape?Ga.inputs[0].shape[2]:0,Ls===-1&&(Ls=64),Ga}function Pf(e,t,n,a){for(let r=0;r{let t=e[Hu.leftBounds[0]][2],n=e[Hu.rightBounds[0]][2];return t-n},D9=(e,t,n,a,r=!1,s)=>{let i=Qp(Jp(Ff([e[n],e[a]]),rde)),o=Yp(i),l=Me.cropAndResize(t,[[i.startPoint[1]/s,i.startPoint[0]/s,i.endPoint[1]/s,i.endPoint[0]/s]],[0],[Ls,Ls]);if(r&&ye.kernels.includes("flipleftright")){let d=Me.flipLeftRight(l);Q(l),l=d}return{box:i,boxSize:o,crop:l}},$9=(e,t,n,a=!1)=>{let r=[];for(let s=0;s{let a=e[Tr[`${n}EyeUpper0`][qu.upperCenter]][2],r=e[Tr[`${n}EyeLower0`][qu.lowerCenter]][2],s=(a+r)/2;return t.map((i,o)=>{let l=s;return o===2?l=a:o===4&&(l=r),[i[0],i[1],l]})};async function _9(e,t,n,a){if(!Ga)return n.debug&&se("face mesh iris detection requested, but model is not loaded"),e;let{box:r,boxSize:s,crop:i}=D9(e,t,Hu.leftBounds[0],Hu.leftBounds[1],!0,a),{box:o,boxSize:l,crop:d}=D9(e,t,Hu.rightBounds[0],Hu.rightBounds[1],!0,a),u=mt([i,d]);Q(i),Q(d);let p=Ga.predict(u);Q(u);let c=await p.data();Q(p);let h=c.slice(0,qu.numCoordinates*3),{rawCoords:f,iris:m}=$9(h,r,s,!0),g=c.slice(qu.numCoordinates*3),{rawCoords:y,iris:A}=$9(g,o,l),x=sde(e);Math.abs(x)<30?(Pf(e,f,"left",null),Pf(e,y,"right",null)):x<1?Pf(e,f,"left",["EyeUpper0","EyeLower0"]):Pf(e,y,"right",["EyeUpper0","EyeLower0"]);let b=O9(e,m,"left"),v=O9(e,A,"right");return e.concat(b).concat(v)}var Cr=[],Ha=null,ur=0,Ox=Number.MAX_SAFE_INTEGER,P9=0,z9=0;async function L9(e,t){var o,l,d,u,p,c,h,f,m,g,y;let n=(((o=t.face.detector)==null?void 0:o.skipTime)||0)>he()-P9,a=Ox<(((l=t.face.detector)==null?void 0:l.skipFrames)||0);if(!t.skipAllowed||!n||!a||z9===0){let A=await b9(e,t);P9=he(),Cr=[];for(let x of A.boxes){let b=await x.box.startPoint.data(),v=await x.box.endPoint.data(),k=await x.landmarks.array();Cr.push({startPoint:b,endPoint:v,landmarks:k,confidence:x.confidence})}A.boxes.forEach(x=>Q([x.box.startPoint,x.box.endPoint,x.landmarks]));for(let x=0;x[S[0]/(e.shape[2]||0),S[1]/(e.shape[1]||0),(S[2]||0)/ur]),A={...Jp(Ff(v.mesh),1.5),confidence:A.confidence};for(let S of Object.keys(Tr))v.annotations[S]=Tr[S].map(P=>v.mesh[P]);((m=t.face.detector)==null?void 0:m.rotation)&&t.face.mesh.enabled&&((g=t.face.description)==null?void 0:g.enabled)&&ye.kernels.includes("rotatewithoffset")&&(Q(v.tensor),[x,b,v.tensor]=fx(A,e,ur)),v.box=px(A,e),v.boxRaw=cx(A,e),v.score=Math.round(100*E||100*A.confidence||0)/100,v.faceScore=Math.round(100*E)/100,A={...Qp(A),confidence:A.confidence,faceConfidence:E}}}else{v.box=px(A,e),v.boxRaw=cx(A,e),v.score=Math.round(100*A.confidence||0)/100,v.mesh=A.landmarks.map(k=>[(A.startPoint[0]+A.endPoint[0])/2+(A.endPoint[0]+A.startPoint[0])*k[0]/ec(),(A.startPoint[1]+A.endPoint[1])/2+(A.endPoint[1]+A.startPoint[1])*k[1]/ec()]),v.meshRaw=v.mesh.map(k=>[k[0]/(e.shape[2]||0),k[1]/(e.shape[1]||0),(k[2]||0)/ur]);for(let k of Object.keys(Kp))v.annotations[k]=[v.mesh[Kp[k]]]}r.push(v),s.push(A)}return((y=t.face.mesh)==null?void 0:y.enabled)&&(Cr=s.filter(A=>{var x;return A.confidence>(((x=t.face.detector)==null?void 0:x.minConfidence)||0)})),z9=r.length,r}async function W9(e){var t,n;return ye.initial&&(Ha=null),Ha?e.debug&&se("cached model:",Ha.modelUrl):(Ha=await et(tt(e.modelBasePath,((t=e.face.mesh)==null?void 0:t.modelPath)||"")),!Ha||!Ha.modelUrl?se("load model failed:",(n=e.face.mesh)==null?void 0:n.modelPath):e.debug&&se("load model:",Ha.modelUrl)),ur=Ha.inputs[0].shape?Ha.inputs[0].shape[2]:0,ur===-1&&(ur=64),Ha}var B9=Mo,V9=Zp;var Wn,zf=[],U9=0,j9=0,_x=Number.MAX_SAFE_INTEGER;async function G9(e){var n,a;let t=tt(e.modelBasePath,((n=e.face.description)==null?void 0:n.modelPath)||"");return ye.initial&&(Wn=null),Wn?e.debug&&se("cached model:",t):(Wn=await et(t),Wn?e.debug&&se("load model:",t):se("load model failed:",((a=e.face.description)==null?void 0:a.modelPath)||"")),Wn}function Px(e){return G(()=>{let n=e.image||e.tensor||e;if(!(n instanceof je))return null;let a=[[.05,.15,.85,.85]];if(!(Wn==null?void 0:Wn.inputs[0].shape))return null;let r=n.shape.length===3?Me.cropAndResize(Wt(n,0),a,[0],[Wn.inputs[0].shape[2],Wn.inputs[0].shape[1]]):Me.cropAndResize(n,a,[0],[Wn.inputs[0].shape[2],Wn.inputs[0].shape[1]]);return L(r,255)})}async function zx(e,t,n,a){var i,o,l,d;if(!Wn)return null;let r=_x<(((i=t.face.description)==null?void 0:i.skipFrames)||0),s=(((o=t.face.description)==null?void 0:o.skipTime)||0)>he()-U9;return t.skipAllowed&&r&&s&&j9===a&&((l=zf[n])==null?void 0:l.age)&&((d=zf[n])==null?void 0:d.age)>0?(_x++,zf[n]):(_x=0,new Promise(async u=>{var c,h;let p={age:0,gender:"unknown",genderScore:0,descriptor:[]};if((c=t.face.description)==null?void 0:c.enabled){let f=Px(e),m=await(Wn==null?void 0:Wn.predict(f));U9=he(),Q(f);let y=await(await m.find(E=>E.shape[1]===1)).data(),A=Math.trunc(200*Math.abs(y[0]-.5))/100;A>(((h=t.face.description)==null?void 0:h.minConfidence)||0)&&(p.gender=y[0]<=.5?"female":"male",p.genderScore=Math.min(.99,A));let x=ka(m.find(E=>E.shape[1]===100),1),b=(await x.data())[0];Q(x);let k=await m.find(E=>E.shape[1]===100).data();p.age=Math.round(k[b-1]>k[b+1]?10*b-100*k[b-1]:10*b+100*k[b+1])/10;let T=m.find(E=>E.shape[1]===1024),C=T?await T.data():[];p.descriptor=Array.from(C),m.forEach(E=>Q(E))}zf[n]=p,j9=a,u(p)}))}function Lf(e){return[Math.abs(e.endPoint[0]-e.startPoint[0]),Math.abs(e.endPoint[1]-e.startPoint[1])]}function tc(e){return[e.startPoint[0]+(e.endPoint[0]-e.startPoint[0])/2,e.startPoint[1]+(e.endPoint[1]-e.startPoint[1])/2]}function H9(e,t,n){let a=t.shape[1],r=t.shape[2],s=[[e.startPoint[1]/a,e.startPoint[0]/r,e.endPoint[1]/a,e.endPoint[0]/r]];return Me.cropAndResize(t,s,[0],n)}function q9(e,t){let n=[e.startPoint[0]*t[0],e.startPoint[1]*t[1]],a=[e.endPoint[0]*t[0],e.endPoint[1]*t[1]],r=e.palmLandmarks.map(s=>[s[0]*t[0],s[1]*t[1]]);return{startPoint:n,endPoint:a,palmLandmarks:r,confidence:e.confidence}}function Wf(e,t=1.5){let n=tc(e),a=Lf(e),r=[t*a[0]/2,t*a[1]/2],s=[n[0]-r[0],n[1]-r[1]],i=[n[0]+r[0],n[1]+r[1]];return{startPoint:s,endPoint:i,palmLandmarks:e.palmLandmarks}}function Bf(e){let t=tc(e),n=Lf(e),r=Math.max(...n)/2,s=[t[0]-r,t[1]-r],i=[t[0]+r,t[1]+r];return{startPoint:s,endPoint:i,palmLandmarks:e.palmLandmarks}}function ide(e){return e-2*Math.PI*Math.floor((e+Math.PI)/(2*Math.PI))}function X9(e,t){let n=Math.PI/2-Math.atan2(-(t[1]-e[1]),t[0]-e[0]);return ide(n)}var K9=(e,t)=>[[1,0,e],[0,1,t],[0,0,1]];function Ws(e,t){let n=0;for(let a=0;a[n.x,n.y]),this.anchorsTensor=Qa(this.anchors),this.inputSize=this.model&&this.model.inputs&&this.model.inputs[0].shape?this.model.inputs[0].shape[2]:0,this.inputSizeTensor=Ht([this.inputSize,this.inputSize]),this.doubleInputSizeTensor=Ht([this.inputSize*2,this.inputSize*2])}normalizeBoxes(t){return G(()=>{let n=De(t,[0,0],[-1,2]),a=De(t,[0,2],[-1,2]),r=le(fe(n,this.inputSizeTensor),this.anchorsTensor),s=fe(a,this.doubleInputSizeTensor),i=L(Ae(r,s),this.inputSizeTensor),o=L(le(r,s),this.inputSizeTensor);return iu([i,o],1)})}normalizeLandmarks(t,n){return G(()=>{let a=le(fe(V(t,[-1,7,2]),this.inputSizeTensor),this.anchors[n]);return L(a,this.inputSizeTensor)})}async getBoxes(t,n){let a={};a.batched=this.model.predict(t),a.predictions=st(a.batched),a.scores=G(()=>st(Kn(De(a.predictions,[0,0],[-1,1]))));let r=await a.scores.data();a.boxes=De(a.predictions,[0,1],[-1,4]),a.norm=this.normalizeBoxes(a.boxes),a.nms=await 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of[qe.index,qe.middle,qe.ring,qe.pinky])Bs.addCurl(e,na.full,1),Bs.addDirection(e,He.horizontalLeft,1),Bs.addDirection(e,He.horizontalRight,1);var Zt=new Vf("victory");Zt.addCurl(qe.thumb,na.half,.5);Zt.addCurl(qe.thumb,na.none,.5);Zt.addDirection(qe.thumb,He.verticalUp,1);Zt.addDirection(qe.thumb,He.diagonalUpLeft,1);Zt.addCurl(qe.index,na.none,1);Zt.addDirection(qe.index,He.verticalUp,.75);Zt.addDirection(qe.index,He.diagonalUpLeft,1);Zt.addCurl(qe.middle,na.none,1);Zt.addDirection(qe.middle,He.verticalUp,1);Zt.addDirection(qe.middle,He.diagonalUpLeft,.75);Zt.addCurl(qe.ring,na.full,1);Zt.addDirection(qe.ring,He.verticalUp,.2);Zt.addDirection(qe.ring,He.diagonalUpLeft,1);Zt.addDirection(qe.ring,He.horizontalLeft,.2);Zt.addCurl(qe.pinky,na.full,1);Zt.addDirection(qe.pinky,He.verticalUp,.2);Zt.addDirection(qe.pinky,He.diagonalUpLeft,1);Zt.addDirection(qe.pinky,He.horizontalLeft,.2);Zt.setWeight(qe.index,2);Zt.setWeight(qe.middle,2);var nI=[Bs,Zt];var pde=.7,$o={HALF_CURL_START_LIMIT:60,NO_CURL_START_LIMIT:130,DISTANCE_VOTE_POWER:1.1,SINGLE_ANGLE_VOTE_POWER:.9,TOTAL_ANGLE_VOTE_POWER:1.6};function aI(e,t,n,a){let r=(t-a)/(e-n),s=Math.atan(r)*180/Math.PI;return s<=0?s=-s:s>0&&(s=180-s),s}function rI(e,t){if(!e||!t)return[0,0];let n=aI(e[0],e[1],t[0],t[1]);if(e.length===2)return n;let a=aI(e[1],e[2],t[1],t[2]);return[n,a]}function sI(e,t=1){let n=0,a=0,r=0;return e>=75&&e<=105?n=1*t:e>=25&&e<=155?a=1*t:r=1*t,[n,a,r]}function cde(e,t,n){let a=e[0]-t[0],r=e[0]-n[0],s=t[0]-n[0],i=e[1]-t[1],o=e[1]-n[1],l=t[1]-n[1],d=e[2]-t[2],u=e[2]-n[2],p=t[2]-n[2],c=Math.sqrt(a*a+i*i+d*d),h=Math.sqrt(r*r+o*o+u*u),f=Math.sqrt(s*s+l*l+p*p),m=(f*f+c*c-h*h)/(2*f*c);m>1?m=1:m<-1&&(m=-1);let g=Math.acos(m);g=57.2958*g%180;let y;return g>$o.NO_CURL_START_LIMIT?y=na.none:g>$o.HALF_CURL_START_LIMIT?y=na.half:y=na.full,y}function iI(e,t,n,a){let r;return a===Math.abs(e)?e>0?r=He.horizontalLeft:r=He.horizontalRight:a===Math.abs(t)?t>0?r=He.horizontalLeft:r=He.horizontalRight:n>0?r=He.horizontalLeft:r=He.horizontalRight,r}function oI(e,t,n,a){let r;return a===Math.abs(e)?e<0?r=He.verticalDown:r=He.verticalUp:a===Math.abs(t)?t<0?r=He.verticalDown:r=He.verticalUp:n<0?r=He.verticalDown:r=He.verticalUp,r}function hde(e,t,n,a,r,s,i,o){let l,d=oI(e,t,n,a),u=iI(r,s,i,o);return d===He.verticalUp?u===He.horizontalLeft?l=He.diagonalUpLeft:l=He.diagonalUpRight:u===He.horizontalLeft?l=He.diagonalDownLeft:l=He.diagonalDownRight,l}function fde(e,t,n,a){let r=e[0]-t[0],s=e[0]-n[0],i=t[0]-n[0],o=e[1]-t[1],l=e[1]-n[1],d=t[1]-n[1],u=Math.max(Math.abs(r),Math.abs(s),Math.abs(i)),p=Math.max(Math.abs(o),Math.abs(l),Math.abs(d)),c=0,h=0,f=0,m=p/(u+1e-5);m>1.5?c+=$o.DISTANCE_VOTE_POWER:m>.66?h+=$o.DISTANCE_VOTE_POWER:f+=$o.DISTANCE_VOTE_POWER;let g=Math.sqrt(r*r+o*o),y=Math.sqrt(s*s+l*l),A=Math.sqrt(i*i+d*d),x=Math.max(g,y,A),b=e[0],v=e[1],k=n[0],T=n[1];x===g?(k=n[0],T=n[1]):x===A&&(b=t[0],v=t[1]);let O=rI([b,v],[k,T]),D=sI(O,$o.TOTAL_ANGLE_VOTE_POWER);c+=D[0],h+=D[1],f+=D[2];for(let P of a){let _=sI(P,$o.SINGLE_ANGLE_VOTE_POWER);c+=_[0],h+=_[1],f+=_[2]}let S;return c===Math.max(c,h,f)?S=oI(l,o,d,p):f===Math.max(h,f)?S=iI(s,r,i,u):S=hde(l,o,d,p,s,r,i,u),S}function lI(e){let t=[],n=[],a=[],r=[];if(!e)return{curls:a,directions:r};for(let s of qe.all){let i=qe.getPoints(s),o=[],l=[];for(let d of i){let u=e[d[0]],p=e[d[1]],c=rI(u,p),h=c[0],f=c[1];o.push(h),l.push(f)}t.push(o),n.push(l)}for(let s of qe.all){let i=s===qe.thumb?1:0,o=qe.getPoints(s),l=e[o[i][0]],d=e[o[i+1][1]],u=e[o[3][1]],p=cde(l,d,u),c=fde(l,d,u,t[s].slice(i));a[s]=p,r[s]=c}return{curls:a,directions:r}}function Uf(e){if(!e||e.length===0)return null;let t=lI(e),n={};for(let a of qe.all)n[qe.getName(a)]={curl:na.getName(t.curls[a]),direction:He.getName(t.directions[a])};return n}function uI(e){let t=[];if(!e||e.length===0)return t;let n=lI(e);for(let a of nI){let r=a.matchAgainst(n.curls,n.directions);r>=pde&&t.push({name:a.name,confidence:r})}return t}var dI={thumb:[1,2,3,4],index:[5,6,7,8],middle:[9,10,11,12],ring:[13,14,15,16],pinky:[17,18,19,20],palm:[0]},Hr,qr,pI;async function Ux(e,t){let n=await pI.estimateHands(e,t);if(!n)return[];let a=[];for(let r=0;rn[r].landmarks[p]);let i=n[r].landmarks,o=[Number.MAX_SAFE_INTEGER,Number.MAX_SAFE_INTEGER,0,0],l=[0,0,0,0];if(i&&i.length>0){for(let u of i)u[0]o[2]&&(o[2]=u[0]),u[1]>o[3]&&(o[3]=u[1]);o[2]-=o[0],o[3]-=o[1],l=[o[0]/(e.shape[2]||0),o[1]/(e.shape[1]||0),o[2]/(e.shape[2]||0),o[3]/(e.shape[1]||0)]}else o=n[r].box?[Math.trunc(Math.max(0,n[r].box.topLeft[0])),Math.trunc(Math.max(0,n[r].box.topLeft[1])),Math.trunc(Math.min(e.shape[2]||0,n[r].box.bottomRight[0])-Math.max(0,n[r].box.topLeft[0])),Math.trunc(Math.min(e.shape[1]||0,n[r].box.bottomRight[1])-Math.max(0,n[r].box.topLeft[1]))]:[0,0,0,0],l=[n[r].box.topLeft[0]/(e.shape[2]||0),n[r].box.topLeft[1]/(e.shape[1]||0),(n[r].box.bottomRight[0]-n[r].box.topLeft[0])/(e.shape[2]||0),(n[r].box.bottomRight[1]-n[r].box.topLeft[1])/(e.shape[1]||0)];let d=Uf(i);a.push({id:r,score:Math.round(100*n[r].confidence)/100,boxScore:Math.round(100*n[r].boxConfidence)/100,fingerScore:Math.round(100*n[r].fingerConfidence)/100,label:"hand",box:o,boxRaw:l,keypoints:i,annotations:s,landmarks:d})}return a}async function jx(e){var n,a,r,s,i,o;ye.initial&&(Hr=null,qr=null),!Hr||!qr?([Hr,qr]=await Promise.all([e.hand.enabled?et(tt(e.modelBasePath,((n=e.hand.detector)==null?void 0:n.modelPath)||""),{fromTFHub:(((a=e.hand.detector)==null?void 0:a.modelPath)||"").includes("tfhub.dev")}):null,e.hand.landmarks?et(tt(e.modelBasePath,((r=e.hand.skeleton)==null?void 0:r.modelPath)||""),{fromTFHub:(((s=e.hand.skeleton)==null?void 0:s.modelPath)||"").includes("tfhub.dev")}):null]),e.hand.enabled&&(!Hr||!Hr.modelUrl?se("load model failed:",((i=e.hand.detector)==null?void 0:i.modelPath)||""):e.debug&&se("load model:",Hr.modelUrl),!qr||!qr.modelUrl?se("load model failed:",((o=e.hand.skeleton)==null?void 0:o.modelPath)||""):e.debug&&se("load model:",qr.modelUrl))):(e.debug&&se("cached model:",Hr.modelUrl),e.debug&&se("cached model:",qr.modelUrl));let t=new Bx(Hr);return pI=new Vx(t,qr),[Hr,qr]}function Oo(e,t=[1,1]){let n=[e.map(o=>o[0]),e.map(o=>o[1])],a=[Math.min(...n[0]),Math.min(...n[1])],r=[Math.max(...n[0]),Math.max(...n[1])],s=[a[0],a[1],r[0]-a[0],r[1]-a[1]],i=[s[0]/t[0],s[1]/t[1],s[2]/t[0],s[3]/t[1]];return{box:s,boxRaw:i}}function cI(e,t=[1,1]){let n=[e.map(d=>d[0]),e.map(d=>d[1])],a=[Math.min(...n[0]),Math.min(...n[1])],r=[Math.max(...n[0]),Math.max(...n[1])],s=[(a[0]+r[0])/2,(a[1]+r[1])/2],i=Math.max(s[0]-a[0],s[1]-a[1],-s[0]+r[0],-s[1]+r[1]),o=[Math.trunc(s[0]-i),Math.trunc(s[1]-i),Math.trunc(2*i),Math.trunc(2*i)],l=[o[0]/t[0],o[1]/t[1],o[2]/t[0],o[3]/t[1]];return{box:o,boxRaw:l}}function jf(e,t){let n=[e[2]*t,e[3]*t];return[e[0]-(n[0]-e[2])/2,e[1]-(n[1]-e[3])/2,n[0],n[1]]}function Gx(e){return[Math.max(0,e[1]),Math.max(0,e[0]),Math.min(1,e[3]+e[1]),Math.min(1,e[2]+e[0])]}var kt=[null,null],mde=["StatefulPartitionedCall/Postprocessor/Slice","StatefulPartitionedCall/Postprocessor/ExpandDims_1"],Vs=[[0,0],[0,0]],gde=["hand","fist","pinch","point","face","tip","pinchtip"],hI=4,fI=1.6,yde=512,Ade=1.4,Gf=Number.MAX_SAFE_INTEGER,Hx=0,Xr=[0,0],Ut={boxes:[],hands:[]},mI={thumb:[1,2,3,4],index:[5,6,7,8],middle:[9,10,11,12],ring:[13,14,15,16],pinky:[17,18,19,20],palm:[0]};async function gI(e){var t,n;if(ye.initial&&(kt[0]=null),kt[0])e.debug&&se("cached model:",kt[0].modelUrl);else{Gu(["tensorlistreserve","enter","tensorlistfromtensor","merge","loopcond","switch","exit","tensorliststack","nextiteration","tensorlistsetitem","tensorlistgetitem","reciprocal","shape","split","where"],e),kt[0]=await et(tt(e.modelBasePath,((t=e.hand.detector)==null?void 0:t.modelPath)||""));let a=Object.values(kt[0].modelSignature.inputs);Vs[0][0]=Array.isArray(a)?parseInt(a[0].tensorShape.dim[1].size):0,Vs[0][1]=Array.isArray(a)?parseInt(a[0].tensorShape.dim[2].size):0,!kt[0]||!kt[0].modelUrl?se("load model failed:",(n=e.hand.detector)==null?void 0:n.modelPath):e.debug&&se("load model:",kt[0].modelUrl)}return kt[0]}async function yI(e){var t,n;if(ye.initial&&(kt[1]=null),kt[1])e.debug&&se("cached model:",kt[1].modelUrl);else{kt[1]=await et(tt(e.modelBasePath,((t=e.hand.skeleton)==null?void 0:t.modelPath)||""));let a=Object.values(kt[1].modelSignature.inputs);Vs[1][0]=Array.isArray(a)?parseInt(a[0].tensorShape.dim[1].size):0,Vs[1][1]=Array.isArray(a)?parseInt(a[0].tensorShape.dim[2].size):0,!kt[1]||!kt[1].modelUrl?se("load model failed:",(n=e.hand.skeleton)==null?void 0:n.modelPath):e.debug&&se("load model:",kt[1].modelUrl)}return kt[1]}async function xde(e,t){let n=[];if(!e||!kt[0])return n;let a={},r=(e.shape[2]||1)/(e.shape[1]||1),s=Math.min(Math.round((e.shape[1]||0)/8)*8,yde),i=Math.round(s*r/8)*8;a.resize=Me.resizeBilinear(e,[s,i]),a.cast=pe(a.resize,"int32"),[a.rawScores,a.rawBoxes]=await kt[0].executeAsync(a.cast,mde),a.boxes=st(a.rawBoxes,[0,2]),a.scores=st(a.rawScores,[0]);let o=Mn(a.scores,1);Q(o[hI]),o.splice(hI,1),a.filtered=xn(o,1),Q(o),a.max=Rn(a.filtered,1),a.argmax=ka(a.filtered,1);let l=0;a.nms=await Me.nonMaxSuppressionAsync(a.boxes,a.max,t.hand.maxDetected,t.hand.iouThreshold,t.hand.minConfidence);let d=await a.nms.data(),u=await a.max.data(),p=await a.argmax.data();for(let c of Array.from(d)){let h=De(a.boxes,c,1),f=await h.data();Q(h);let m=[f[1],f[0],f[3]-f[1],f[2]-f[0]],g=jf(m,Ade),y=Gx(g),A=[Math.trunc(m[0]*Xr[0]),Math.trunc(m[1]*Xr[1]),Math.trunc(m[2]*Xr[0]),Math.trunc(m[3]*Xr[1])],x=u[c],b=gde[p[c]],v={id:l++,score:x,box:A,boxRaw:g,boxCrop:y,label:b};n.push(v)}return Object.keys(a).forEach(c=>Q(a[c])),n.sort((c,h)=>h.score-c.score),n.length>(t.hand.maxDetected||1)&&(n.length=t.hand.maxDetected||1),n}async function qx(e,t,n){let a={id:t.id,score:Math.round(100*t.score)/100,boxScore:Math.round(100*t.score)/100,fingerScore:0,box:t.box,boxRaw:t.boxRaw,label:t.label,keypoints:[],landmarks:{},annotations:{}};if(e&&kt[1]&&n.hand.landmarks&&t.score>(n.hand.minConfidence||0)){let r={};r.crop=Me.cropAndResize(e,[t.boxCrop],[0],[Vs[1][0],Vs[1][1]],"bilinear"),r.cast=pe(r.crop,"float32"),r.div=fe(r.cast,255),[r.score,r.keypoints]=kt[1].execute(r.div);let s=(await r.score.data())[0],i=(100-Math.trunc(100/(1+Math.exp(s))))/100;if(i>=(n.hand.minConfidence||0)){a.fingerScore=i,r.reshaped=V(r.keypoints,[-1,3]);let d=(await r.reshaped.array()).map(u=>[u[0]/Vs[1][1],u[1]/Vs[1][0],u[2]||0]).map(u=>[u[0]*t.boxRaw[2],u[1]*t.boxRaw[3],u[2]||0]);a.keypoints=d.map(u=>[Xr[0]*(u[0]+t.boxRaw[0]),Xr[1]*(u[1]+t.boxRaw[1]),u[2]||0]),a.landmarks=Uf(a.keypoints);for(let u of Object.keys(mI))a.annotations[u]=mI[u].map(p=>a.landmarks&&a.keypoints[p]?a.keypoints[p]:null)}Object.keys(r).forEach(o=>Q(r[o]))}return a}async function Xx(e,t){var r,s;if(!kt[0]||!kt[1]||!((r=kt[0])==null?void 0:r.inputs[0].shape)||!((s=kt[1])==null?void 0:s.inputs[0].shape))return[];Xr=[e.shape[2]||0,e.shape[1]||0],Gf++;let n=(t.hand.skipTime||0)>he()-Hx,a=Gf<(t.hand.skipFrames||0);return t.skipAllowed&&n&&a?Ut.hands:new Promise(async i=>{let o=3*(t.hand.skipTime||0)>he()-Hx,l=Gf<3*(t.hand.skipFrames||0);t.skipAllowed&&Ut.hands.length===t.hand.maxDetected?Ut.hands=await Promise.all(Ut.boxes.map(u=>qx(e,u,t))):t.skipAllowed&&o&&l&&Ut.hands.length>0?Ut.hands=await Promise.all(Ut.boxes.map(u=>qx(e,u,t))):(Ut.boxes=await xde(e,t),Hx=he(),Ut.hands=await Promise.all(Ut.boxes.map(u=>qx(e,u,t))),Gf=0);let d=[...Ut.boxes];if(Ut.boxes.length=0,t.cacheSensitivity>0)for(let u=0;u.05&&p.box[3]/(e.shape[1]||1)>.05&&Ut.hands[u].fingerScore&&Ut.hands[u].fingerScore>(t.hand.minConfidence||0)){let c=jf(p.box,fI),h=jf(p.boxRaw,fI),f=Gx(h);Ut.boxes.push({...d[u],box:c,boxRaw:h,boxCrop:f})}}for(let u=0;uqf,horizontal:()=>Kx,kpt:()=>Hf,relative:()=>Yx,vertical:()=>Zx});var Hf=["nose","leftEye","rightEye","leftEar","rightEar","leftShoulder","rightShoulder","leftElbow","rightElbow","leftWrist","rightWrist","leftHip","rightHip","leftKnee","rightKnee","leftAnkle","rightAnkle"],Kx=[["leftEye","rightEye"],["leftEar","rightEar"],["leftShoulder","rightShoulder"],["leftElbow","rightElbow"],["leftWrist","rightWrist"],["leftHip","rightHip"],["leftKnee","rightKnee"],["leftAnkle","rightAnkle"]],Zx=[["leftKnee","leftShoulder"],["rightKnee","rightShoulder"],["leftAnkle","leftKnee"],["rightAnkle","rightKnee"]],Yx=[[["leftHip","rightHip"],["leftShoulder","rightShoulder"]],[["leftElbow","rightElbow"],["leftShoulder","rightShoulder"]]],qf={leftLeg:["leftHip","leftKnee","leftAnkle"],rightLeg:["rightHip","rightKnee","rightAnkle"],torso:["leftShoulder","rightShoulder","rightHip","leftHip","leftShoulder"],leftArm:["leftShoulder","leftElbow","leftWrist"],rightArm:["rightShoulder","rightElbow","rightWrist"],head:[]};var AI=.005,ga={keypoints:[],padding:[[0,0],[0,0],[0,0],[0,0]]};function Qx(e){for(let t of Kx){let n=e.keypoints.findIndex(r=>r.part===t[0]),a=e.keypoints.findIndex(r=>r.part===t[1]);if(e.keypoints[n]&&e.keypoints[a]&&e.keypoints[n].position[0]r&&r.part===t[0]),a=e.keypoints.findIndex(r=>r&&r.part===t[1]);e.keypoints[n]&&e.keypoints[a]&&e.keypoints[n].position[1]d&&d.part===t[0]),r=e.keypoints.findIndex(d=>d&&d.part===t[1]),s=e.keypoints.findIndex(d=>d&&d.part===n[0]),i=e.keypoints.findIndex(d=>d&&d.part===n[1]);if(!e.keypoints[s]||!e.keypoints[i])continue;let o=e.keypoints[a]?[Math.abs(e.keypoints[s].position[0]-e.keypoints[a].position[0]),Math.abs(e.keypoints[i].position[0]-e.keypoints[a].position[0])]:[0,0],l=e.keypoints[r]?[Math.abs(e.keypoints[i].position[0]-e.keypoints[r].position[0]),Math.abs(e.keypoints[s].position[0]-e.keypoints[r].position[0])]:[0,0];if(o[0]>o[1]||l[0]>l[1]){let d=e.keypoints[a];e.keypoints[a]=e.keypoints[r],e.keypoints[r]=d}}}function xI(e){for(let 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o=Ln.keypoints.map(c=>c.position[0]),l=Ln.keypoints.map(c=>c.position[1]);Ln.box=[Math.min(...o),Math.min(...l),Math.max(...o)-Math.min(...o),Math.max(...l)-Math.min(...l)];let d=Ln.keypoints.map(c=>c.positionRaw[0]),u=Ln.keypoints.map(c=>c.positionRaw[1]);Ln.boxRaw=[Math.min(...d),Math.min(...u),Math.max(...d)-Math.min(...d),Math.max(...u)-Math.min(...u)];for(let[c,h]of Object.entries(Sx)){let f=[];for(let m=0;mA.part===h[m]),y=Ln.keypoints.find(A=>A.part===h[m+1]);g&&y&&g.score>(t.body.minConfidence||0)&&y.score>(t.body.minConfidence||0)&&f.push([g.position,y.position])}Ln.annotations[c]=f}r([Ln])}))}var ade=["angry","disgust","fear","happy","sad","surprise","neutral"],on,_f=[],E9=0,R9=0,Rx=Number.MAX_SAFE_INTEGER,Mx=[.2989,.587,.114];async function M9(e){var t,n;return ye.initial&&(on=null),on?e.debug&&se("cached model:",on.modelUrl):(on=await et(tt(e.modelBasePath,((t=e.face.emotion)==null?void 0:t.modelPath)||"")),!on||!on.modelUrl?se("load model 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0:p.minConfidence)||0)&&d.push({score:Math.min(.99,Math.trunc(100*k[T])/100),emotion:ade[T]});d.sort((T,C)=>C.score-T.score),Q(b)}_f[n]=d,E9=a,l(d)}))}var Ga,Ls=0,rde=2.3,Dx=Tr.leftEyeLower0,$x=Tr.rightEyeLower0,Hu={leftBounds:[Dx[0],Dx[Dx.length-1]],rightBounds:[$x[0],$x[$x.length-1]]},qu={upperCenter:3,lowerCenter:4,index:71,numCoordinates:76};async function F9(e){var t,n;return ye.initial&&(Ga=null),Ga?e.debug&&se("cached model:",Ga.modelUrl):(Ga=await et(tt(e.modelBasePath,((t=e.face.iris)==null?void 0:t.modelPath)||"")),!Ga||!Ga.modelUrl?se("load model failed:",(n=e.face.iris)==null?void 0:n.modelPath):e.debug&&se("load model:",Ga.modelUrl)),Ls=Ga.inputs[0].shape?Ga.inputs[0].shape[2]:0,Ls===-1&&(Ls=64),Ga}function Pf(e,t,n,a){for(let r=0;r{let t=e[Hu.leftBounds[0]][2],n=e[Hu.rightBounds[0]][2];return t-n},D9=(e,t,n,a,r=!1,s)=>{let i=Qp(Jp(Ff([e[n],e[a]]),rde)),o=Yp(i),l=Me.cropAndResize(t,[[i.startPoint[1]/s,i.startPoint[0]/s,i.endPoint[1]/s,i.endPoint[0]/s]],[0],[Ls,Ls]);if(r&&ye.kernels.includes("flipleftright")){let d=Me.flipLeftRight(l);Q(l),l=d}return{box:i,boxSize:o,crop:l}},$9=(e,t,n,a=!1)=>{let r=[];for(let s=0;s{let a=e[Tr[`${n}EyeUpper0`][qu.upperCenter]][2],r=e[Tr[`${n}EyeLower0`][qu.lowerCenter]][2],s=(a+r)/2;return t.map((i,o)=>{let l=s;return o===2?l=a:o===4&&(l=r),[i[0],i[1],l]})};async function _9(e,t,n,a){if(!Ga)return n.debug&&se("face mesh iris detection requested, but model is not loaded"),e;let{box:r,boxSize:s,crop:i}=D9(e,t,Hu.leftBounds[0],Hu.leftBounds[1],!0,a),{box:o,boxSize:l,crop:d}=D9(e,t,Hu.rightBounds[0],Hu.rightBounds[1],!0,a),u=mt([i,d]);Q(i),Q(d);let p=Ga.predict(u);Q(u);let c=await p.data();Q(p);let h=c.slice(0,qu.numCoordinates*3),{rawCoords:f,iris:m}=$9(h,r,s,!0),g=c.slice(qu.numCoordinates*3),{rawCoords:y,iris:A}=$9(g,o,l),x=sde(e);Math.abs(x)<30?(Pf(e,f,"left",null),Pf(e,y,"right",null)):x<1?Pf(e,f,"left",["EyeUpper0","EyeLower0"]):Pf(e,y,"right",["EyeUpper0","EyeLower0"]);let b=O9(e,m,"left"),v=O9(e,A,"right");return e.concat(b).concat(v)}var Cr=[],Ha=null,ur=0,Ox=Number.MAX_SAFE_INTEGER,P9=0,z9=0;async function L9(e,t){var o,l,d,u,p,c,h,f,m,g,y;let n=(((o=t.face.detector)==null?void 0:o.skipTime)||0)>he()-P9,a=Ox<(((l=t.face.detector)==null?void 0:l.skipFrames)||0);if(!t.skipAllowed||!n||!a||z9===0){let A=await b9(e,t);P9=he(),Cr=[];for(let x of A.boxes){let b=await x.box.startPoint.data(),v=await x.box.endPoint.data(),k=await x.landmarks.array();Cr.push({startPoint:b,endPoint:v,landmarks:k,confidence:x.confidence})}A.boxes.forEach(x=>Q([x.box.startPoint,x.box.endPoint,x.landmarks]));for(let x=0;x[S[0]/(e.shape[2]||0),S[1]/(e.shape[1]||0),(S[2]||0)/ur]),A={...Jp(Ff(v.mesh),1.5),confidence:A.confidence};for(let S of Object.keys(Tr))v.annotations[S]=Tr[S].map(P=>v.mesh[P]);((m=t.face.detector)==null?void 0:m.rotation)&&t.face.mesh.enabled&&((g=t.face.description)==null?void 0:g.enabled)&&ye.kernels.includes("rotatewithoffset")&&(Q(v.tensor),[x,b,v.tensor]=fx(A,e,ur)),v.box=px(A,e),v.boxRaw=cx(A,e),v.score=Math.round(100*E||100*A.confidence||0)/100,v.faceScore=Math.round(100*E)/100,A={...Qp(A),confidence:A.confidence,faceConfidence:E}}}else{v.box=px(A,e),v.boxRaw=cx(A,e),v.score=Math.round(100*A.confidence||0)/100,v.mesh=A.landmarks.map(k=>[(A.startPoint[0]+A.endPoint[0])/2+(A.endPoint[0]+A.startPoint[0])*k[0]/ec(),(A.startPoint[1]+A.endPoint[1])/2+(A.endPoint[1]+A.startPoint[1])*k[1]/ec()]),v.meshRaw=v.mesh.map(k=>[k[0]/(e.shape[2]||0),k[1]/(e.shape[1]||0),(k[2]||0)/ur]);for(let k of Object.keys(Kp))v.annotations[k]=[v.mesh[Kp[k]]]}r.push(v),s.push(A)}return((y=t.face.mesh)==null?void 0:y.enabled)&&(Cr=s.filter(A=>{var x;return A.confidence>(((x=t.face.detector)==null?void 0:x.minConfidence)||0)})),z9=r.length,r}async function W9(e){var t,n;return ye.initial&&(Ha=null),Ha?e.debug&&se("cached model:",Ha.modelUrl):(Ha=await et(tt(e.modelBasePath,((t=e.face.mesh)==null?void 0:t.modelPath)||"")),!Ha||!Ha.modelUrl?se("load model failed:",(n=e.face.mesh)==null?void 0:n.modelPath):e.debug&&se("load model:",Ha.modelUrl)),ur=Ha.inputs[0].shape?Ha.inputs[0].shape[2]:0,ur===-1&&(ur=64),Ha}var B9=Mo,V9=Zp;var Wn,zf=[],U9=0,j9=0,_x=Number.MAX_SAFE_INTEGER;async function G9(e){var n,a;let t=tt(e.modelBasePath,((n=e.face.description)==null?void 0:n.modelPath)||"");return ye.initial&&(Wn=null),Wn?e.debug&&se("cached model:",t):(Wn=await et(t),Wn?e.debug&&se("load model:",t):se("load model failed:",((a=e.face.description)==null?void 0:a.modelPath)||"")),Wn}function Px(e){return G(()=>{let n=e.image||e.tensor||e;if(!(n instanceof je))return null;let a=[[.05,.15,.85,.85]];if(!(Wn==null?void 0:Wn.inputs[0].shape))return null;let r=n.shape.length===3?Me.cropAndResize(Wt(n,0),a,[0],[Wn.inputs[0].shape[2],Wn.inputs[0].shape[1]]):Me.cropAndResize(n,a,[0],[Wn.inputs[0].shape[2],Wn.inputs[0].shape[1]]);return L(r,255)})}async function zx(e,t,n,a){var i,o,l,d;if(!Wn)return null;let r=_x<(((i=t.face.description)==null?void 0:i.skipFrames)||0),s=(((o=t.face.description)==null?void 0:o.skipTime)||0)>he()-U9;return t.skipAllowed&&r&&s&&j9===a&&((l=zf[n])==null?void 0:l.age)&&((d=zf[n])==null?void 0:d.age)>0?(_x++,zf[n]):(_x=0,new Promise(async u=>{var c,h;let p={age:0,gender:"unknown",genderScore:0,descriptor:[]};if((c=t.face.description)==null?void 0:c.enabled){let f=Px(e),m=await(Wn==null?void 0:Wn.predict(f));U9=he(),Q(f);let y=await(await m.find(E=>E.shape[1]===1)).data(),A=Math.trunc(200*Math.abs(y[0]-.5))/100;A>(((h=t.face.description)==null?void 0:h.minConfidence)||0)&&(p.gender=y[0]<=.5?"female":"male",p.genderScore=Math.min(.99,A));let x=ka(m.find(E=>E.shape[1]===100),1),b=(await x.data())[0];Q(x);let k=await m.find(E=>E.shape[1]===100).data();p.age=Math.round(k[b-1]>k[b+1]?10*b-100*k[b-1]:10*b+100*k[b+1])/10;let T=m.find(E=>E.shape[1]===1024),C=T?await T.data():[];p.descriptor=Array.from(C),m.forEach(E=>Q(E))}zf[n]=p,j9=a,u(p)}))}function Lf(e){return[Math.abs(e.endPoint[0]-e.startPoint[0]),Math.abs(e.endPoint[1]-e.startPoint[1])]}function tc(e){return[e.startPoint[0]+(e.endPoint[0]-e.startPoint[0])/2,e.startPoint[1]+(e.endPoint[1]-e.startPoint[1])/2]}function H9(e,t,n){let a=t.shape[1],r=t.shape[2],s=[[e.startPoint[1]/a,e.startPoint[0]/r,e.endPoint[1]/a,e.endPoint[0]/r]];return Me.cropAndResize(t,s,[0],n)}function q9(e,t){let n=[e.startPoint[0]*t[0],e.startPoint[1]*t[1]],a=[e.endPoint[0]*t[0],e.endPoint[1]*t[1]],r=e.palmLandmarks.map(s=>[s[0]*t[0],s[1]*t[1]]);return{startPoint:n,endPoint:a,palmLandmarks:r,confidence:e.confidence}}function Wf(e,t=1.5){let n=tc(e),a=Lf(e),r=[t*a[0]/2,t*a[1]/2],s=[n[0]-r[0],n[1]-r[1]],i=[n[0]+r[0],n[1]+r[1]];return{startPoint:s,endPoint:i,palmLandmarks:e.palmLandmarks}}function Bf(e){let t=tc(e),n=Lf(e),r=Math.max(...n)/2,s=[t[0]-r,t[1]-r],i=[t[0]+r,t[1]+r];return{startPoint:s,endPoint:i,palmLandmarks:e.palmLandmarks}}function ide(e){return e-2*Math.PI*Math.floor((e+Math.PI)/(2*Math.PI))}function X9(e,t){let n=Math.PI/2-Math.atan2(-(t[1]-e[1]),t[0]-e[0]);return ide(n)}var K9=(e,t)=>[[1,0,e],[0,1,t],[0,0,1]];function Ws(e,t){let n=0;for(let a=0;a[n.x,n.y]),this.anchorsTensor=Qa(this.anchors),this.inputSize=this.model&&this.model.inputs&&this.model.inputs[0].shape?this.model.inputs[0].shape[2]:0,this.inputSizeTensor=Ht([this.inputSize,this.inputSize]),this.doubleInputSizeTensor=Ht([this.inputSize*2,this.inputSize*2])}normalizeBoxes(t){return G(()=>{let n=De(t,[0,0],[-1,2]),a=De(t,[0,2],[-1,2]),r=le(fe(n,this.inputSizeTensor),this.anchorsTensor),s=fe(a,this.doubleInputSizeTensor),i=L(Ae(r,s),this.inputSizeTensor),o=L(le(r,s),this.inputSizeTensor);return iu([i,o],1)})}normalizeLandmarks(t,n){return G(()=>{let a=le(fe(V(t,[-1,7,2]),this.inputSizeTensor),this.anchors[n]);return L(a,this.inputSizeTensor)})}async getBoxes(t,n){let a={};a.batched=this.model.predict(t),a.predictions=st(a.batched),a.scores=G(()=>st(Kn(De(a.predictions,[0,0],[-1,1]))));let r=await a.scores.data();a.boxes=De(a.predictions,[0,1],[-1,4]),a.norm=this.normalizeBoxes(a.boxes),a.nms=await 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of[qe.index,qe.middle,qe.ring,qe.pinky])Bs.addCurl(e,na.full,1),Bs.addDirection(e,He.horizontalLeft,1),Bs.addDirection(e,He.horizontalRight,1);var Zt=new Vf("victory");Zt.addCurl(qe.thumb,na.half,.5);Zt.addCurl(qe.thumb,na.none,.5);Zt.addDirection(qe.thumb,He.verticalUp,1);Zt.addDirection(qe.thumb,He.diagonalUpLeft,1);Zt.addCurl(qe.index,na.none,1);Zt.addDirection(qe.index,He.verticalUp,.75);Zt.addDirection(qe.index,He.diagonalUpLeft,1);Zt.addCurl(qe.middle,na.none,1);Zt.addDirection(qe.middle,He.verticalUp,1);Zt.addDirection(qe.middle,He.diagonalUpLeft,.75);Zt.addCurl(qe.ring,na.full,1);Zt.addDirection(qe.ring,He.verticalUp,.2);Zt.addDirection(qe.ring,He.diagonalUpLeft,1);Zt.addDirection(qe.ring,He.horizontalLeft,.2);Zt.addCurl(qe.pinky,na.full,1);Zt.addDirection(qe.pinky,He.verticalUp,.2);Zt.addDirection(qe.pinky,He.diagonalUpLeft,1);Zt.addDirection(qe.pinky,He.horizontalLeft,.2);Zt.setWeight(qe.index,2);Zt.setWeight(qe.middle,2);var nI=[Bs,Zt];var pde=.7,$o={HALF_CURL_START_LIMIT:60,NO_CURL_START_LIMIT:130,DISTANCE_VOTE_POWER:1.1,SINGLE_ANGLE_VOTE_POWER:.9,TOTAL_ANGLE_VOTE_POWER:1.6};function aI(e,t,n,a){let r=(t-a)/(e-n),s=Math.atan(r)*180/Math.PI;return s<=0?s=-s:s>0&&(s=180-s),s}function rI(e,t){if(!e||!t)return[0,0];let n=aI(e[0],e[1],t[0],t[1]);if(e.length===2)return n;let a=aI(e[1],e[2],t[1],t[2]);return[n,a]}function sI(e,t=1){let n=0,a=0,r=0;return e>=75&&e<=105?n=1*t:e>=25&&e<=155?a=1*t:r=1*t,[n,a,r]}function cde(e,t,n){let a=e[0]-t[0],r=e[0]-n[0],s=t[0]-n[0],i=e[1]-t[1],o=e[1]-n[1],l=t[1]-n[1],d=e[2]-t[2],u=e[2]-n[2],p=t[2]-n[2],c=Math.sqrt(a*a+i*i+d*d),h=Math.sqrt(r*r+o*o+u*u),f=Math.sqrt(s*s+l*l+p*p),m=(f*f+c*c-h*h)/(2*f*c);m>1?m=1:m<-1&&(m=-1);let g=Math.acos(m);g=57.2958*g%180;let y;return g>$o.NO_CURL_START_LIMIT?y=na.none:g>$o.HALF_CURL_START_LIMIT?y=na.half:y=na.full,y}function iI(e,t,n,a){let r;return a===Math.abs(e)?e>0?r=He.horizontalLeft:r=He.horizontalRight:a===Math.abs(t)?t>0?r=He.horizontalLeft:r=He.horizontalRight:n>0?r=He.horizontalLeft:r=He.horizontalRight,r}function oI(e,t,n,a){let r;return a===Math.abs(e)?e<0?r=He.verticalDown:r=He.verticalUp:a===Math.abs(t)?t<0?r=He.verticalDown:r=He.verticalUp:n<0?r=He.verticalDown:r=He.verticalUp,r}function hde(e,t,n,a,r,s,i,o){let l,d=oI(e,t,n,a),u=iI(r,s,i,o);return d===He.verticalUp?u===He.horizontalLeft?l=He.diagonalUpLeft:l=He.diagonalUpRight:u===He.horizontalLeft?l=He.diagonalDownLeft:l=He.diagonalDownRight,l}function fde(e,t,n,a){let r=e[0]-t[0],s=e[0]-n[0],i=t[0]-n[0],o=e[1]-t[1],l=e[1]-n[1],d=t[1]-n[1],u=Math.max(Math.abs(r),Math.abs(s),Math.abs(i)),p=Math.max(Math.abs(o),Math.abs(l),Math.abs(d)),c=0,h=0,f=0,m=p/(u+1e-5);m>1.5?c+=$o.DISTANCE_VOTE_POWER:m>.66?h+=$o.DISTANCE_VOTE_POWER:f+=$o.DISTANCE_VOTE_POWER;let g=Math.sqrt(r*r+o*o),y=Math.sqrt(s*s+l*l),A=Math.sqrt(i*i+d*d),x=Math.max(g,y,A),b=e[0],v=e[1],k=n[0],T=n[1];x===g?(k=n[0],T=n[1]):x===A&&(b=t[0],v=t[1]);let O=rI([b,v],[k,T]),D=sI(O,$o.TOTAL_ANGLE_VOTE_POWER);c+=D[0],h+=D[1],f+=D[2];for(let P of a){let _=sI(P,$o.SINGLE_ANGLE_VOTE_POWER);c+=_[0],h+=_[1],f+=_[2]}let S;return c===Math.max(c,h,f)?S=oI(l,o,d,p):f===Math.max(h,f)?S=iI(s,r,i,u):S=hde(l,o,d,p,s,r,i,u),S}function lI(e){let t=[],n=[],a=[],r=[];if(!e)return{curls:a,directions:r};for(let s of qe.all){let i=qe.getPoints(s),o=[],l=[];for(let d of i){let u=e[d[0]],p=e[d[1]],c=rI(u,p),h=c[0],f=c[1];o.push(h),l.push(f)}t.push(o),n.push(l)}for(let s of qe.all){let i=s===qe.thumb?1:0,o=qe.getPoints(s),l=e[o[i][0]],d=e[o[i+1][1]],u=e[o[3][1]],p=cde(l,d,u),c=fde(l,d,u,t[s].slice(i));a[s]=p,r[s]=c}return{curls:a,directions:r}}function Uf(e){if(!e||e.length===0)return null;let t=lI(e),n={};for(let a of qe.all)n[qe.getName(a)]={curl:na.getName(t.curls[a]),direction:He.getName(t.directions[a])};return n}function uI(e){let t=[];if(!e||e.length===0)return t;let n=lI(e);for(let a of nI){let r=a.matchAgainst(n.curls,n.directions);r>=pde&&t.push({name:a.name,confidence:r})}return t}var dI={thumb:[1,2,3,4],index:[5,6,7,8],middle:[9,10,11,12],ring:[13,14,15,16],pinky:[17,18,19,20],palm:[0]},Hr,qr,pI;async function Ux(e,t){let n=await pI.estimateHands(e,t);if(!n)return[];let a=[];for(let r=0;rn[r].landmarks[p]);let i=n[r].landmarks,o=[Number.MAX_SAFE_INTEGER,Number.MAX_SAFE_INTEGER,0,0],l=[0,0,0,0];if(i&&i.length>0){for(let u of i)u[0]o[2]&&(o[2]=u[0]),u[1]>o[3]&&(o[3]=u[1]);o[2]-=o[0],o[3]-=o[1],l=[o[0]/(e.shape[2]||0),o[1]/(e.shape[1]||0),o[2]/(e.shape[2]||0),o[3]/(e.shape[1]||0)]}else o=n[r].box?[Math.trunc(Math.max(0,n[r].box.topLeft[0])),Math.trunc(Math.max(0,n[r].box.topLeft[1])),Math.trunc(Math.min(e.shape[2]||0,n[r].box.bottomRight[0])-Math.max(0,n[r].box.topLeft[0])),Math.trunc(Math.min(e.shape[1]||0,n[r].box.bottomRight[1])-Math.max(0,n[r].box.topLeft[1]))]:[0,0,0,0],l=[n[r].box.topLeft[0]/(e.shape[2]||0),n[r].box.topLeft[1]/(e.shape[1]||0),(n[r].box.bottomRight[0]-n[r].box.topLeft[0])/(e.shape[2]||0),(n[r].box.bottomRight[1]-n[r].box.topLeft[1])/(e.shape[1]||0)];let d=Uf(i);a.push({id:r,score:Math.round(100*n[r].confidence)/100,boxScore:Math.round(100*n[r].boxConfidence)/100,fingerScore:Math.round(100*n[r].fingerConfidence)/100,label:"hand",box:o,boxRaw:l,keypoints:i,annotations:s,landmarks:d})}return a}async function jx(e){var n,a,r,s,i,o;ye.initial&&(Hr=null,qr=null),!Hr||!qr?([Hr,qr]=await Promise.all([e.hand.enabled?et(tt(e.modelBasePath,((n=e.hand.detector)==null?void 0:n.modelPath)||""),{fromTFHub:(((a=e.hand.detector)==null?void 0:a.modelPath)||"").includes("tfhub.dev")}):null,e.hand.landmarks?et(tt(e.modelBasePath,((r=e.hand.skeleton)==null?void 0:r.modelPath)||""),{fromTFHub:(((s=e.hand.skeleton)==null?void 0:s.modelPath)||"").includes("tfhub.dev")}):null]),e.hand.enabled&&(!Hr||!Hr.modelUrl?se("load model failed:",((i=e.hand.detector)==null?void 0:i.modelPath)||""):e.debug&&se("load model:",Hr.modelUrl),!qr||!qr.modelUrl?se("load model failed:",((o=e.hand.skeleton)==null?void 0:o.modelPath)||""):e.debug&&se("load model:",qr.modelUrl))):(e.debug&&se("cached model:",Hr.modelUrl),e.debug&&se("cached model:",qr.modelUrl));let t=new Bx(Hr);return pI=new Vx(t,qr),[Hr,qr]}function Oo(e,t=[1,1]){let n=[e.map(o=>o[0]),e.map(o=>o[1])],a=[Math.min(...n[0]),Math.min(...n[1])],r=[Math.max(...n[0]),Math.max(...n[1])],s=[a[0],a[1],r[0]-a[0],r[1]-a[1]],i=[s[0]/t[0],s[1]/t[1],s[2]/t[0],s[3]/t[1]];return{box:s,boxRaw:i}}function cI(e,t=[1,1]){let n=[e.map(d=>d[0]),e.map(d=>d[1])],a=[Math.min(...n[0]),Math.min(...n[1])],r=[Math.max(...n[0]),Math.max(...n[1])],s=[(a[0]+r[0])/2,(a[1]+r[1])/2],i=Math.max(s[0]-a[0],s[1]-a[1],-s[0]+r[0],-s[1]+r[1]),o=[Math.trunc(s[0]-i),Math.trunc(s[1]-i),Math.trunc(2*i),Math.trunc(2*i)],l=[o[0]/t[0],o[1]/t[1],o[2]/t[0],o[3]/t[1]];return{box:o,boxRaw:l}}function jf(e,t){let n=[e[2]*t,e[3]*t];return[e[0]-(n[0]-e[2])/2,e[1]-(n[1]-e[3])/2,n[0],n[1]]}function Gx(e){return[Math.max(0,e[1]),Math.max(0,e[0]),Math.min(1,e[3]+e[1]),Math.min(1,e[2]+e[0])]}var kt=[null,null],mde=["StatefulPartitionedCall/Postprocessor/Slice","StatefulPartitionedCall/Postprocessor/ExpandDims_1"],Vs=[[0,0],[0,0]],gde=["hand","fist","pinch","point","face","tip","pinchtip"],hI=4,fI=1.6,yde=512,Ade=1.4,Gf=Number.MAX_SAFE_INTEGER,Hx=0,Xr=[0,0],Ut={boxes:[],hands:[]},mI={thumb:[1,2,3,4],index:[5,6,7,8],middle:[9,10,11,12],ring:[13,14,15,16],pinky:[17,18,19,20],palm:[0]};async function gI(e){var t,n;if(ye.initial&&(kt[0]=null),kt[0])e.debug&&se("cached model:",kt[0].modelUrl);else{Gu(["tensorlistreserve","enter","tensorlistfromtensor","merge","loopcond","switch","exit","tensorliststack","nextiteration","tensorlistsetitem","tensorlistgetitem","reciprocal","shape","split","where"],e),kt[0]=await et(tt(e.modelBasePath,((t=e.hand.detector)==null?void 0:t.modelPath)||""));let a=Object.values(kt[0].modelSignature.inputs);Vs[0][0]=Array.isArray(a)?parseInt(a[0].tensorShape.dim[1].size):0,Vs[0][1]=Array.isArray(a)?parseInt(a[0].tensorShape.dim[2].size):0,!kt[0]||!kt[0].modelUrl?se("load model failed:",(n=e.hand.detector)==null?void 0:n.modelPath):e.debug&&se("load model:",kt[0].modelUrl)}return kt[0]}async function yI(e){var t,n;if(ye.initial&&(kt[1]=null),kt[1])e.debug&&se("cached model:",kt[1].modelUrl);else{kt[1]=await et(tt(e.modelBasePath,((t=e.hand.skeleton)==null?void 0:t.modelPath)||""));let a=Object.values(kt[1].modelSignature.inputs);Vs[1][0]=Array.isArray(a)?parseInt(a[0].tensorShape.dim[1].size):0,Vs[1][1]=Array.isArray(a)?parseInt(a[0].tensorShape.dim[2].size):0,!kt[1]||!kt[1].modelUrl?se("load model failed:",(n=e.hand.skeleton)==null?void 0:n.modelPath):e.debug&&se("load model:",kt[1].modelUrl)}return kt[1]}async function xde(e,t){let n=[];if(!e||!kt[0])return n;let a={},r=(e.shape[2]||1)/(e.shape[1]||1),s=Math.min(Math.round((e.shape[1]||0)/8)*8,yde),i=Math.round(s*r/8)*8;a.resize=Me.resizeBilinear(e,[s,i]),a.cast=pe(a.resize,"int32"),[a.rawScores,a.rawBoxes]=await kt[0].executeAsync(a.cast,mde),a.boxes=st(a.rawBoxes,[0,2]),a.scores=st(a.rawScores,[0]);let o=Mn(a.scores,1);Q(o[hI]),o.splice(hI,1),a.filtered=xn(o,1),Q(o),a.max=Rn(a.filtered,1),a.argmax=ka(a.filtered,1);let l=0;a.nms=await Me.nonMaxSuppressionAsync(a.boxes,a.max,t.hand.maxDetected,t.hand.iouThreshold,t.hand.minConfidence);let d=await a.nms.data(),u=await a.max.data(),p=await a.argmax.data();for(let c of Array.from(d)){let h=De(a.boxes,c,1),f=await h.data();Q(h);let m=[f[1],f[0],f[3]-f[1],f[2]-f[0]],g=jf(m,Ade),y=Gx(g),A=[Math.trunc(m[0]*Xr[0]),Math.trunc(m[1]*Xr[1]),Math.trunc(m[2]*Xr[0]),Math.trunc(m[3]*Xr[1])],x=u[c],b=gde[p[c]],v={id:l++,score:x,box:A,boxRaw:g,boxCrop:y,label:b};n.push(v)}return Object.keys(a).forEach(c=>Q(a[c])),n.sort((c,h)=>h.score-c.score),n.length>(t.hand.maxDetected||1)&&(n.length=t.hand.maxDetected||1),n}async function qx(e,t,n){let a={id:t.id,score:Math.round(100*t.score)/100,boxScore:Math.round(100*t.score)/100,fingerScore:0,box:t.box,boxRaw:t.boxRaw,label:t.label,keypoints:[],landmarks:{},annotations:{}};if(e&&kt[1]&&n.hand.landmarks&&t.score>(n.hand.minConfidence||0)){let r={};r.crop=Me.cropAndResize(e,[t.boxCrop],[0],[Vs[1][0],Vs[1][1]],"bilinear"),r.cast=pe(r.crop,"float32"),r.div=fe(r.cast,255),[r.score,r.keypoints]=kt[1].execute(r.div);let s=(await r.score.data())[0],i=(100-Math.trunc(100/(1+Math.exp(s))))/100;if(i>=(n.hand.minConfidence||0)){a.fingerScore=i,r.reshaped=V(r.keypoints,[-1,3]);let d=(await r.reshaped.array()).map(u=>[u[0]/Vs[1][1],u[1]/Vs[1][0],u[2]||0]).map(u=>[u[0]*t.boxRaw[2],u[1]*t.boxRaw[3],u[2]||0]);a.keypoints=d.map(u=>[Xr[0]*(u[0]+t.boxRaw[0]),Xr[1]*(u[1]+t.boxRaw[1]),u[2]||0]),a.landmarks=Uf(a.keypoints);for(let u of Object.keys(mI))a.annotations[u]=mI[u].map(p=>a.landmarks&&a.keypoints[p]?a.keypoints[p]:null)}Object.keys(r).forEach(o=>Q(r[o]))}return a}async function Xx(e,t){var r,s;if(!kt[0]||!kt[1]||!((r=kt[0])==null?void 0:r.inputs[0].shape)||!((s=kt[1])==null?void 0:s.inputs[0].shape))return[];Xr=[e.shape[2]||0,e.shape[1]||0],Gf++;let n=(t.hand.skipTime||0)>he()-Hx,a=Gf<(t.hand.skipFrames||0);return t.skipAllowed&&n&&a?Ut.hands:new Promise(async i=>{let o=3*(t.hand.skipTime||0)>he()-Hx,l=Gf<3*(t.hand.skipFrames||0);t.skipAllowed&&Ut.hands.length===t.hand.maxDetected?Ut.hands=await Promise.all(Ut.boxes.map(u=>qx(e,u,t))):t.skipAllowed&&o&&l&&Ut.hands.length>0?Ut.hands=await Promise.all(Ut.boxes.map(u=>qx(e,u,t))):(Ut.boxes=await xde(e,t),Hx=he(),Ut.hands=await Promise.all(Ut.boxes.map(u=>qx(e,u,t))),Gf=0);let d=[...Ut.boxes];if(Ut.boxes.length=0,t.cacheSensitivity>0)for(let u=0;u.05&&p.box[3]/(e.shape[1]||1)>.05&&Ut.hands[u].fingerScore&&Ut.hands[u].fingerScore>(t.hand.minConfidence||0)){let c=jf(p.box,fI),h=jf(p.boxRaw,fI),f=Gx(h);Ut.boxes.push({...d[u],box:c,boxRaw:h,boxCrop:f})}}for(let u=0;uqf,horizontal:()=>Kx,kpt:()=>Hf,relative:()=>Yx,vertical:()=>Zx});var Hf=["nose","leftEye","rightEye","leftEar","rightEar","leftShoulder","rightShoulder","leftElbow","rightElbow","leftWrist","rightWrist","leftHip","rightHip","leftKnee","rightKnee","leftAnkle","rightAnkle"],Kx=[["leftEye","rightEye"],["leftEar","rightEar"],["leftShoulder","rightShoulder"],["leftElbow","rightElbow"],["leftWrist","rightWrist"],["leftHip","rightHip"],["leftKnee","rightKnee"],["leftAnkle","rightAnkle"]],Zx=[["leftKnee","leftShoulder"],["rightKnee","rightShoulder"],["leftAnkle","leftKnee"],["rightAnkle","rightKnee"]],Yx=[[["leftHip","rightHip"],["leftShoulder","rightShoulder"]],[["leftElbow","rightElbow"],["leftShoulder","rightShoulder"]]],qf={leftLeg:["leftHip","leftKnee","leftAnkle"],rightLeg:["rightHip","rightKnee","rightAnkle"],torso:["leftShoulder","rightShoulder","rightHip","leftHip","leftShoulder"],leftArm:["leftShoulder","leftElbow","leftWrist"],rightArm:["rightShoulder","rightElbow","rightWrist"],head:[]};var AI=.005,ga={keypoints:[],padding:[[0,0],[0,0],[0,0],[0,0]]};function Qx(e){for(let t of Kx){let n=e.keypoints.findIndex(r=>r.part===t[0]),a=e.keypoints.findIndex(r=>r.part===t[1]);if(e.keypoints[n]&&e.keypoints[a]&&e.keypoints[n].position[0]r&&r.part===t[0]),a=e.keypoints.findIndex(r=>r&&r.part===t[1]);e.keypoints[n]&&e.keypoints[a]&&e.keypoints[n].position[1]d&&d.part===t[0]),r=e.keypoints.findIndex(d=>d&&d.part===t[1]),s=e.keypoints.findIndex(d=>d&&d.part===n[0]),i=e.keypoints.findIndex(d=>d&&d.part===n[1]);if(!e.keypoints[s]||!e.keypoints[i])continue;let o=e.keypoints[a]?[Math.abs(e.keypoints[s].position[0]-e.keypoints[a].position[0]),Math.abs(e.keypoints[i].position[0]-e.keypoints[a].position[0])]:[0,0],l=e.keypoints[r]?[Math.abs(e.keypoints[i].position[0]-e.keypoints[r].position[0]),Math.abs(e.keypoints[s].position[0]-e.keypoints[r].position[0])]:[0,0];if(o[0]>o[1]||l[0]>l[1]){let d=e.keypoints[a];e.keypoints[a]=e.keypoints[r],e.keypoints[r]=d}}}function xI(e){for(let 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p=u.box[0]+u.box[2]/2-u.box[3]*Ku(u.rotation.angle.yaw)/90,c=u.box[1]+u.box[3]/2+u.box[2]*Ku(u.rotation.angle.pitch)/90,h=new Path2D(` M ${u.box[0]+u.box[2]/2} ${u.box[1]} C ${p} ${u.box[1]}, diff --git a/dist/human.node-gpu.js b/dist/human.node-gpu.js index f7f4c3ca..7603786c 100644 --- a/dist/human.node-gpu.js +++ b/dist/human.node-gpu.js @@ -1291,7 +1291,7 @@ var env = new Env(); var tf28 = __toModule(require_tfjs_esm()); // package.json -var version = "2.4.0"; +var version = "2.4.1"; // src/tfjs/humangl.ts var tf24 = __toModule(require_tfjs_esm()); diff --git a/dist/human.node-wasm.js b/dist/human.node-wasm.js index b00a208a..34e9a151 100644 --- a/dist/human.node-wasm.js +++ b/dist/human.node-wasm.js @@ -1292,7 +1292,7 @@ var env = new Env(); var tf28 = __toModule(require_tfjs_esm()); // package.json -var version = "2.4.0"; +var version = "2.4.1"; // src/tfjs/humangl.ts var tf24 = __toModule(require_tfjs_esm()); diff --git a/dist/human.node.js b/dist/human.node.js index 58099a03..4d040511 100644 --- a/dist/human.node.js +++ b/dist/human.node.js @@ -1291,7 +1291,7 @@ var env = new Env(); var tf28 = __toModule(require_tfjs_esm()); // package.json -var version = "2.4.0"; +var version = "2.4.1"; // src/tfjs/humangl.ts var tf24 = __toModule(require_tfjs_esm()); diff --git a/package.json b/package.json index f2e6be0d..82267f1e 100644 --- a/package.json +++ b/package.json @@ -67,8 +67,8 @@ "@tensorflow/tfjs-node": "^3.10.0", "@tensorflow/tfjs-node-gpu": "^3.10.0", "@types/node": "^16.11.5", - "@typescript-eslint/eslint-plugin": "^5.1.0", - "@typescript-eslint/parser": "^5.1.0", + "@typescript-eslint/eslint-plugin": "^5.2.0", + "@typescript-eslint/parser": "^5.2.0", "@vladmandic/build": "^0.6.3", "@vladmandic/pilogger": "^0.3.3", "canvas": "^2.8.0", diff --git a/test/build.log b/test/build.log index 42c9d2e9..af6fd871 100644 --- a/test/build.log +++ b/test/build.log @@ -1,204 +1,26 @@ -2021-10-25 13:02:59 INFO:  @vladmandic/human version 2.4.0 -2021-10-25 13:02:59 INFO:  User: vlado Platform: linux Arch: x64 Node: v17.0.1 -2021-10-25 13:02:59 INFO:  Application: {"name":"@vladmandic/human","version":"2.4.0"} -2021-10-25 13:02:59 INFO:  Environment: {"profile":"production","config":".build.json","package":"package.json","tsconfig":true,"eslintrc":true,"git":true} -2021-10-25 13:02:59 INFO:  Toolchain: {"build":"0.6.3","esbuild":"0.13.9","typescript":"4.4.4","typedoc":"0.22.7","eslint":"8.1.0"} -2021-10-25 13:02:59 INFO:  Build: {"profile":"production","steps":["clean","compile","typings","typedoc","lint","changelog"]} -2021-10-25 13:02:59 STATE: Clean: {"locations":["dist/*","types/*","typedoc/*"]} -2021-10-25 13:02:59 STATE: Compile: {"name":"tfjs/nodejs/cpu","format":"cjs","platform":"node","input":"tfjs/tf-node.ts","output":"dist/tfjs.esm.js","files":1,"inputBytes":102,"outputBytes":1275} -2021-10-25 13:02:59 STATE: Compile: {"name":"human/nodejs/cpu","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node.js","files":55,"inputBytes":524815,"outputBytes":438967} -2021-10-25 13:02:59 STATE: Compile: {"name":"tfjs/nodejs/gpu","format":"cjs","platform":"node","input":"tfjs/tf-node-gpu.ts","output":"dist/tfjs.esm.js","files":1,"inputBytes":110,"outputBytes":1283} -2021-10-25 13:02:59 STATE: Compile: {"name":"human/nodejs/gpu","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node-gpu.js","files":55,"inputBytes":524823,"outputBytes":438971} -2021-10-25 13:02:59 STATE: Compile: {"name":"tfjs/nodejs/wasm","format":"cjs","platform":"node","input":"tfjs/tf-node-wasm.ts","output":"dist/tfjs.esm.js","files":1,"inputBytes":149,"outputBytes":1350} -2021-10-25 13:02:59 STATE: Compile: {"name":"human/nodejs/wasm","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node-wasm.js","files":55,"inputBytes":524890,"outputBytes":439043} -2021-10-25 13:02:59 STATE: Compile: {"name":"tfjs/browser/version","format":"esm","platform":"browser","input":"tfjs/tf-version.ts","output":"dist/tfjs.version.js","files":1,"inputBytes":1063,"outputBytes":1652} -2021-10-25 13:02:59 STATE: Compile: {"name":"tfjs/browser/esm/nobundle","format":"esm","platform":"browser","input":"tfjs/tf-browser.ts","output":"dist/tfjs.esm.js","files":2,"inputBytes":2323,"outputBytes":973} -2021-10-25 13:02:59 STATE: Compile: {"name":"human/browser/esm/nobundle","format":"esm","platform":"browser","input":"src/human.ts","output":"dist/human.esm-nobundle.js","files":55,"inputBytes":524513,"outputBytes":440910} -2021-10-25 13:02:59 STATE: Compile: {"name":"tfjs/browser/esm/custom","format":"esm","platform":"browser","input":"tfjs/tf-custom.ts","output":"dist/tfjs.esm.js","files":2,"inputBytes":2572202,"outputBytes":2491625} -2021-10-25 13:03:00 STATE: Compile: {"name":"human/browser/esm/custom","format":"esm","platform":"browser","input":"src/human.ts","output":"dist/human.custom.esm.js","files":55,"inputBytes":3015165,"outputBytes":1607407} -2021-10-25 13:03:01 STATE: Compile: {"name":"tfjs/browser/esm/bundle","format":"esm","platform":"browser","input":"tfjs/tf-browser.ts","output":"dist/tfjs.esm.js","files":8,"inputBytes":2323,"outputBytes":1155160} -2021-10-25 13:03:01 STATE: Compile: {"name":"human/browser/iife/bundle","format":"iife","platform":"browser","input":"src/human.ts","output":"dist/human.js","files":55,"inputBytes":1678700,"outputBytes":1431091} -2021-10-25 13:03:02 STATE: Compile: {"name":"human/browser/esm/bundle","format":"esm","platform":"browser","input":"src/human.ts","output":"dist/human.esm.js","files":55,"inputBytes":1678700,"outputBytes":1879499} -2021-10-25 13:03:20 STATE: Typings: {"input":"src/human.ts","output":"types","files":96} -2021-10-25 13:03:27 STATE: TypeDoc: {"input":"src/human.ts","output":"typedoc","objects":48,"generated":true} -2021-10-25 13:04:11 STATE: Lint: {"locations":["*.json","src/**/*.ts","test/**/*.js","demo/**/*.js"],"files":91,"errors":0,"warnings":0} -2021-10-25 13:04:11 STATE: ChangeLog: {"repository":"https://github.com/vladmandic/human","branch":"main","output":"CHANGELOG.md"} -2021-10-25 13:04:11 INFO:  Done... -2021-10-25 13:04:16 INFO:  @vladmandic/human version 2.4.0 -2021-10-25 13:04:16 INFO:  User: vlado Platform: linux Arch: x64 Node: v17.0.1 -2021-10-25 13:04:16 INFO:  Application: {"name":"@vladmandic/human","version":"2.4.0"} -2021-10-25 13:04:16 INFO:  Environment: {"profile":"development","config":".build.json","package":"package.json","tsconfig":true,"eslintrc":true,"git":true} -2021-10-25 13:04:16 INFO:  Toolchain: {"build":"0.6.3","esbuild":"0.13.9","typescript":"4.4.4","typedoc":"0.22.7","eslint":"8.1.0"} -2021-10-25 13:04:16 INFO:  Build: {"profile":"development","steps":["serve","watch","compile"]} 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{"name":"tfjs/browser/esm/nobundle","format":"esm","platform":"browser","input":"tfjs/tf-browser.ts","output":"dist/tfjs.esm.js","files":2,"inputBytes":2323,"outputBytes":973} -2021-10-25 13:04:17 STATE: Compile: {"name":"human/browser/esm/nobundle","format":"esm","platform":"browser","input":"src/human.ts","output":"dist/human.esm-nobundle.js","files":55,"inputBytes":524513,"outputBytes":440910} -2021-10-25 13:04:17 STATE: Compile: {"name":"tfjs/browser/esm/custom","format":"esm","platform":"browser","input":"tfjs/tf-custom.ts","output":"dist/tfjs.esm.js","files":2,"inputBytes":2572202,"outputBytes":2491625} -2021-10-25 13:04:18 STATE: Compile: {"name":"human/browser/esm/custom","format":"esm","platform":"browser","input":"src/human.ts","output":"dist/human.custom.esm.js","files":55,"inputBytes":3015165,"outputBytes":1607407} -2021-10-25 13:04:19 STATE: Compile: 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-2021-10-25 13:07:27 DATA:  HTTP: {"method":"GET","ver":"1.1","status":200,"mime":"text/javascript","size":43055,"url":"/typedoc/assets/main.js","remote":"::ffff:192.168.0.200"} -2021-10-25 13:07:27 DATA:  HTTP: {"method":"GET","ver":"1.1","status":200,"mime":"text/javascript","size":100244,"url":"/typedoc/assets/search.js","remote":"::ffff:192.168.0.200"} -2021-10-25 13:07:28 DATA:  HTTP: {"method":"GET","ver":"1.1","status":200,"mime":"text/css","size":35195,"url":"/typedoc/assets/icons.css","remote":"::ffff:192.168.0.200"} -2021-10-25 13:07:28 DATA:  HTTP: {"method":"GET","ver":"1.1","status":200,"mime":"image/png","size":855,"url":"/typedoc/assets/widgets@2x.png","remote":"::ffff:192.168.0.200"} -2021-10-25 13:07:28 DATA:  HTTP: {"method":"GET","ver":"1.1","status":200,"mime":"image/png","size":28144,"url":"/typedoc/assets/icons@2x.png","remote":"::ffff:192.168.0.200"} -2021-10-25 13:07:28 DATA:  HTTP: {"method":"GET","ver":"1.1","status":200,"mime":"image/x-icon","size":261950,"url":"/favicon.ico","remote":"::ffff:192.168.0.200"} -2021-10-25 13:07:29 DATA:  HTTP: {"method":"GET","ver":"1.1","status":200,"mime":"text/html","size":3241,"url":"/typedoc/modules/Tensor.html","remote":"::ffff:192.168.0.200"} -2021-10-25 13:07:29 DATA:  HTTP: {"method":"GET","ver":"1.1","status":200,"mime":"text/css","size":32529,"url":"/typedoc/assets/style.css","remote":"::ffff:192.168.0.200"} -2021-10-25 13:07:29 DATA:  HTTP: {"method":"GET","ver":"1.1","status":200,"mime":"text/css","size":480,"url":"/typedoc/assets/highlight.css","remote":"::ffff:192.168.0.200"} -2021-10-25 13:07:29 DATA:  HTTP: {"method":"GET","ver":"1.1","status":200,"mime":"text/javascript","size":43055,"url":"/typedoc/assets/main.js","remote":"::ffff:192.168.0.200"} -2021-10-25 13:07:29 DATA:  HTTP: {"method":"GET","ver":"1.1","status":200,"mime":"text/javascript","size":100244,"url":"/typedoc/assets/search.js","remote":"::ffff:192.168.0.200"} -2021-10-25 13:07:29 DATA:  HTTP: {"method":"GET","ver":"1.1","status":200,"mime":"text/css","size":35195,"url":"/typedoc/assets/icons.css","remote":"::ffff:192.168.0.200"} -2021-10-25 13:07:29 DATA:  HTTP: {"method":"GET","ver":"1.1","status":200,"mime":"image/png","size":855,"url":"/typedoc/assets/widgets@2x.png","remote":"::ffff:192.168.0.200"} -2021-10-25 13:07:29 DATA:  HTTP: {"method":"GET","ver":"1.1","status":200,"mime":"image/png","size":28144,"url":"/typedoc/assets/icons@2x.png","remote":"::ffff:192.168.0.200"} -2021-10-25 13:07:32 DATA:  HTTP: {"method":"GET","ver":"1.1","status":200,"mime":"text/html","size":3241,"url":"/typedoc/modules/Tensor.html","remote":"::ffff:192.168.0.200"} -2021-10-25 13:07:32 DATA:  HTTP: {"method":"GET","ver":"1.1","status":200,"mime":"text/css","size":32529,"url":"/typedoc/assets/style.css","remote":"::ffff:192.168.0.200"} -2021-10-25 13:07:32 DATA:  HTTP: {"method":"GET","ver":"1.1","status":200,"mime":"text/css","size":480,"url":"/typedoc/assets/highlight.css","remote":"::ffff:192.168.0.200"} -2021-10-25 13:07:32 DATA:  HTTP: {"method":"GET","ver":"1.1","status":200,"mime":"text/javascript","size":43055,"url":"/typedoc/assets/main.js","remote":"::ffff:192.168.0.200"} -2021-10-25 13:07:32 DATA:  HTTP: {"method":"GET","ver":"1.1","status":200,"mime":"text/javascript","size":100244,"url":"/typedoc/assets/search.js","remote":"::ffff:192.168.0.200"} -2021-10-25 13:07:32 DATA:  HTTP: {"method":"GET","ver":"1.1","status":200,"mime":"text/css","size":35195,"url":"/typedoc/assets/icons.css","remote":"::ffff:192.168.0.200"} -2021-10-25 13:07:32 DATA:  HTTP: {"method":"GET","ver":"1.1","status":200,"mime":"image/png","size":855,"url":"/typedoc/assets/widgets@2x.png","remote":"::ffff:192.168.0.200"} -2021-10-25 13:07:32 DATA:  HTTP: {"method":"GET","ver":"1.1","status":200,"mime":"image/png","size":28144,"url":"/typedoc/assets/icons@2x.png","remote":"::ffff:192.168.0.200"} -2021-10-25 13:07:32 DATA:  HTTP: {"method":"GET","ver":"1.1","status":200,"mime":"text/html","size":42321,"url":"/typedoc/index.html","remote":"::ffff:192.168.0.200"} -2021-10-25 13:07:32 DATA:  HTTP: {"method":"GET","ver":"1.1","status":200,"mime":"text/css","size":32529,"url":"/typedoc/assets/style.css","remote":"::ffff:192.168.0.200"} -2021-10-25 13:07:32 DATA:  HTTP: {"method":"GET","ver":"1.1","status":200,"mime":"text/css","size":480,"url":"/typedoc/assets/highlight.css","remote":"::ffff:192.168.0.200"} -2021-10-25 13:07:32 DATA:  HTTP: {"method":"GET","ver":"1.1","status":200,"mime":"text/javascript","size":43055,"url":"/typedoc/assets/main.js","remote":"::ffff:192.168.0.200"} -2021-10-25 13:07:32 DATA:  HTTP: {"method":"GET","ver":"1.1","status":200,"mime":"text/javascript","size":100244,"url":"/typedoc/assets/search.js","remote":"::ffff:192.168.0.200"} -2021-10-25 13:07:32 DATA:  HTTP: {"method":"GET","ver":"1.1","status":200,"mime":"text/css","size":35195,"url":"/typedoc/assets/icons.css","remote":"::ffff:192.168.0.200"} -2021-10-25 13:07:32 DATA:  HTTP: {"method":"GET","ver":"1.1","status":200,"mime":"image/png","size":855,"url":"/typedoc/assets/widgets@2x.png","remote":"::ffff:192.168.0.200"} -2021-10-25 13:07:32 DATA:  HTTP: {"method":"GET","ver":"1.1","status":200,"mime":"image/png","size":28144,"url":"/typedoc/assets/icons@2x.png","remote":"::ffff:192.168.0.200"} -2021-10-25 13:07:41 DATA:  HTTP: {"method":"GET","ver":"1.1","status":200,"mime":"text/html","size":43240,"url":"/typedoc/classes/Tensor.html","remote":"::ffff:192.168.0.200"} -2021-10-25 13:07:41 DATA:  HTTP: {"method":"GET","ver":"1.1","status":200,"mime":"text/css","size":32529,"url":"/typedoc/assets/style.css","remote":"::ffff:192.168.0.200"} -2021-10-25 13:07:41 DATA:  HTTP: {"method":"GET","ver":"1.1","status":200,"mime":"text/css","size":480,"url":"/typedoc/assets/highlight.css","remote":"::ffff:192.168.0.200"} -2021-10-25 13:07:41 DATA:  HTTP: {"method":"GET","ver":"1.1","status":200,"mime":"text/javascript","size":43055,"url":"/typedoc/assets/main.js","remote":"::ffff:192.168.0.200"} -2021-10-25 13:07:41 DATA:  HTTP: {"method":"GET","ver":"1.1","status":200,"mime":"text/javascript","size":100244,"url":"/typedoc/assets/search.js","remote":"::ffff:192.168.0.200"} -2021-10-25 13:07:41 DATA:  HTTP: {"method":"GET","ver":"1.1","status":200,"mime":"text/css","size":35195,"url":"/typedoc/assets/icons.css","remote":"::ffff:192.168.0.200"} -2021-10-25 13:07:41 DATA:  HTTP: {"method":"GET","ver":"1.1","status":200,"mime":"image/png","size":855,"url":"/typedoc/assets/widgets@2x.png","remote":"::ffff:192.168.0.200"} -2021-10-25 13:07:41 DATA:  HTTP: {"method":"GET","ver":"1.1","status":200,"mime":"image/png","size":28144,"url":"/typedoc/assets/icons@2x.png","remote":"::ffff:192.168.0.200"} +2021-10-25 13:20:16 INFO:  @vladmandic/human version 2.4.1 +2021-10-25 13:20:16 INFO:  User: vlado Platform: linux Arch: x64 Node: v16.10.0 +2021-10-25 13:20:16 INFO:  Application: {"name":"@vladmandic/human","version":"2.4.1"} +2021-10-25 13:20:16 INFO:  Environment: {"profile":"production","config":".build.json","package":"package.json","tsconfig":true,"eslintrc":true,"git":true} +2021-10-25 13:20:16 INFO:  Toolchain: {"build":"0.6.3","esbuild":"0.13.9","typescript":"4.4.4","typedoc":"0.22.7","eslint":"8.1.0"} +2021-10-25 13:20:16 INFO:  Build: {"profile":"production","steps":["clean","compile","typings","typedoc","lint","changelog"]} +2021-10-25 13:20:16 STATE: Clean: {"locations":["dist/*","types/*","typedoc/*"]} +2021-10-25 13:20:16 STATE: Compile: {"name":"tfjs/nodejs/cpu","format":"cjs","platform":"node","input":"tfjs/tf-node.ts","output":"dist/tfjs.esm.js","files":1,"inputBytes":102,"outputBytes":1275} +2021-10-25 13:20:16 STATE: Compile: {"name":"human/nodejs/cpu","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node.js","files":55,"inputBytes":524815,"outputBytes":438967} +2021-10-25 13:20:16 STATE: Compile: {"name":"tfjs/nodejs/gpu","format":"cjs","platform":"node","input":"tfjs/tf-node-gpu.ts","output":"dist/tfjs.esm.js","files":1,"inputBytes":110,"outputBytes":1283} +2021-10-25 13:20:16 STATE: Compile: {"name":"human/nodejs/gpu","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node-gpu.js","files":55,"inputBytes":524823,"outputBytes":438971} +2021-10-25 13:20:16 STATE: Compile: {"name":"tfjs/nodejs/wasm","format":"cjs","platform":"node","input":"tfjs/tf-node-wasm.ts","output":"dist/tfjs.esm.js","files":1,"inputBytes":149,"outputBytes":1350} +2021-10-25 13:20:16 STATE: Compile: {"name":"human/nodejs/wasm","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node-wasm.js","files":55,"inputBytes":524890,"outputBytes":439043} +2021-10-25 13:20:16 STATE: Compile: {"name":"tfjs/browser/version","format":"esm","platform":"browser","input":"tfjs/tf-version.ts","output":"dist/tfjs.version.js","files":1,"inputBytes":1063,"outputBytes":1652} +2021-10-25 13:20:16 STATE: Compile: {"name":"tfjs/browser/esm/nobundle","format":"esm","platform":"browser","input":"tfjs/tf-browser.ts","output":"dist/tfjs.esm.js","files":2,"inputBytes":2323,"outputBytes":973} +2021-10-25 13:20:16 STATE: Compile: {"name":"human/browser/esm/nobundle","format":"esm","platform":"browser","input":"src/human.ts","output":"dist/human.esm-nobundle.js","files":55,"inputBytes":524513,"outputBytes":440910} +2021-10-25 13:20:17 STATE: Compile: {"name":"tfjs/browser/esm/custom","format":"esm","platform":"browser","input":"tfjs/tf-custom.ts","output":"dist/tfjs.esm.js","files":2,"inputBytes":2572202,"outputBytes":2491625} +2021-10-25 13:20:17 STATE: Compile: {"name":"human/browser/esm/custom","format":"esm","platform":"browser","input":"src/human.ts","output":"dist/human.custom.esm.js","files":55,"inputBytes":3015165,"outputBytes":1607407} +2021-10-25 13:20:17 STATE: Compile: {"name":"tfjs/browser/esm/bundle","format":"esm","platform":"browser","input":"tfjs/tf-browser.ts","output":"dist/tfjs.esm.js","files":8,"inputBytes":2323,"outputBytes":1155160} +2021-10-25 13:20:18 STATE: Compile: {"name":"human/browser/iife/bundle","format":"iife","platform":"browser","input":"src/human.ts","output":"dist/human.js","files":55,"inputBytes":1678700,"outputBytes":1431091} +2021-10-25 13:20:18 STATE: Compile: {"name":"human/browser/esm/bundle","format":"esm","platform":"browser","input":"src/human.ts","output":"dist/human.esm.js","files":55,"inputBytes":1678700,"outputBytes":1879499} +2021-10-25 13:20:29 STATE: Typings: {"input":"src/human.ts","output":"types","files":96} +2021-10-25 13:20:34 STATE: TypeDoc: {"input":"src/human.ts","output":"typedoc","objects":48,"generated":true} +2021-10-25 13:21:01 STATE: Lint: {"locations":["*.json","src/**/*.ts","test/**/*.js","demo/**/*.js"],"files":91,"errors":0,"warnings":0} +2021-10-25 13:21:01 STATE: ChangeLog: {"repository":"https://github.com/vladmandic/human","branch":"main","output":"CHANGELOG.md"} +2021-10-25 13:21:01 INFO:  Done... diff --git a/test/test-main.js b/test/test-main.js index 7cacb83e..269f27f8 100644 --- a/test/test-main.js +++ b/test/test-main.js @@ -240,7 +240,7 @@ async function test(Human, inputConfig) { res1 = human.similarity(desc1, desc1); res2 = human.similarity(desc1, desc2); res3 = human.similarity(desc1, desc3); - if (res1 < 1 || res2 < 0.9 || res3 < 0.85) log('error', 'failed: face similarity ', { similarity: [res1, res2, res3], descriptors: [desc1?.length, desc2?.length, desc3?.length] }); + if (res1 < 1 || res2 < 0.55 || res3 < 0.5) log('error', 'failed: face similarity', { similarity: [res1, res2, res3], descriptors: [desc1?.length, desc2?.length, desc3?.length] }); else log('state', 'passed: face similarity', { similarity: [res1, res2, res3], descriptors: [desc1?.length, desc2?.length, desc3?.length] }); // test face matching @@ -252,7 +252,7 @@ async function test(Human, inputConfig) { res1 = human.match(desc1, arr); res2 = human.match(desc2, arr); res3 = human.match(desc3, arr); - if (res1.index !== 4 || res2.index !== 4 || res3.index !== 4) log('error', 'failed: face match ', res1, res2, res3); + if (res1.index !== 4 || res2.index !== 4 || res3.index !== 4) log('error', 'failed: face match', res1, res2, res3); else log('state', 'passed: face match', { first: { index: res1.index, similarity: res1.similarity } }, { second: { index: res2.index, similarity: res2.similarity } }, { third: { index: res3.index, similarity: res3.similarity } }); // test object detection diff --git a/test/test.log b/test/test.log index 75e136ea..7cbb262a 100644 --- a/test/test.log +++ b/test/test.log @@ -1,509 +1,509 @@ -2021-10-23 09:36:39 INFO:  @vladmandic/human version 2.4.0 -2021-10-23 09:36:39 INFO:  User: vlado Platform: linux Arch: x64 Node: v16.10.0 -2021-10-23 09:36:39 INFO:  tests: ["test-node.js","test-node-gpu.js","test-node-wasm.js"] -2021-10-23 09:36:39 INFO:  demos: ["../demo/nodejs/node.js","../demo/nodejs/node-canvas.js","../demo/nodejs/node-env.js","../demo/nodejs/node-event.js","../demo/nodejs/node-multiprocess.js"] -2021-10-23 09:36:39 INFO:  -2021-10-23 09:36:39 INFO:  test-node.js start -2021-10-23 09:36:40 STATE: test-node.js passed: configuration default validation [] -2021-10-23 09:36:40 STATE: test-node.js passed: configuration invalid validation [{"reason":"unknown property","where":"config.invalid = true"}] -2021-10-23 09:36:41 STATE: test-node.js passed: models loaded 21 10 [{"name":"age","loaded":false},{"name":"agegenderrace","loaded":false},{"name":"blazeposedetect","loaded":false},{"name":"blazepose","loaded":false},{"name":"centernet","loaded":true},{"name":"efficientpose","loaded":false},{"name":"embedding","loaded":false},{"name":"emotion","loaded":true},{"name":"facedetect","loaded":true},{"name":"faceiris","loaded":true},{"name":"facemesh","loaded":true},{"name":"faceres","loaded":true},{"name":"gender","loaded":false},{"name":"handpose","loaded":false},{"name":"handskeleton","loaded":true},{"name":"handtrack","loaded":true},{"name":"movenet","loaded":true},{"name":"nanodet","loaded":false},{"name":"posenet","loaded":false},{"name":"segmentation","loaded":true},{"name":"antispoof","loaded":false}] -2021-10-23 09:36:41 STATE: test-node.js passed: create human -2021-10-23 09:36:41 INFO:  test-node.js human version: 2.4.0 -2021-10-23 09:36:41 INFO:  test-node.js platform: linux x64 agent: NodeJS v16.10.0 -2021-10-23 09:36:41 INFO:  test-node.js tfjs version: 3.10.0 -2021-10-23 09:36:41 STATE: test-node.js passed: set backend: tensorflow -2021-10-23 09:36:41 STATE: test-node.js tensors 1920 -2021-10-23 09:36:41 STATE: test-node.js passed: load models -2021-10-23 09:36:41 STATE: test-node.js result: defined models: 21 loaded models: 10 -2021-10-23 09:36:41 STATE: test-node.js passed: warmup: none default -2021-10-23 09:36:41 STATE: test-node.js passed: warmup none result match -2021-10-23 09:36:41 STATE: test-node.js event: image -2021-10-23 09:36:43 STATE: test-node.js event: detect -2021-10-23 09:36:43 STATE: test-node.js event: warmup -2021-10-23 09:36:43 STATE: test-node.js passed: warmup: face default -2021-10-23 09:36:43 DATA:  test-node.js result: face: 1 body: 1 hand: 1 gesture: 6 object: 1 person: 1 {"score":1,"age":23.6,"gender":"female"} {"score":0.82,"class":"person"} {"score":0.42,"keypoints":4} -2021-10-23 09:36:43 DATA:  test-node.js result: performance: load: 457 total: 1995 -2021-10-23 09:36:43 STATE: test-node.js passed: warmup face result match -2021-10-23 09:36:43 STATE: test-node.js event: image -2021-10-23 09:36:44 STATE: test-node.js event: detect -2021-10-23 09:36:44 STATE: test-node.js event: warmup -2021-10-23 09:36:44 STATE: test-node.js passed: warmup: body default -2021-10-23 09:36:44 DATA:  test-node.js result: face: 1 body: 1 hand: 1 gesture: 5 object: 1 person: 1 {"score":1,"age":29.5,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} -2021-10-23 09:36:44 DATA:  test-node.js result: performance: load: 457 total: 1369 -2021-10-23 09:36:44 STATE: test-node.js passed: warmup body result match -2021-10-23 09:36:44 INFO:  test-node.js test default -2021-10-23 09:36:45 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} -2021-10-23 09:36:45 STATE: test-node.js event: image -2021-10-23 09:36:47 STATE: test-node.js event: detect -2021-10-23 09:36:47 STATE: test-node.js passed: detect: samples/in/ai-body.jpg default -2021-10-23 09:36:47 DATA:  test-node.js result: face: 1 body: 1 hand: 1 gesture: 5 object: 1 person: 1 {"score":1,"age":28.5,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} -2021-10-23 09:36:47 DATA:  test-node.js result: performance: load: 457 total: 1350 -2021-10-23 09:36:47 STATE: test-node.js passed: default result face match -2021-10-23 09:36:47 INFO:  test-node.js test sync -2021-10-23 09:36:48 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} -2021-10-23 09:36:48 STATE: test-node.js event: image -2021-10-23 09:36:49 STATE: test-node.js event: detect -2021-10-23 09:36:49 STATE: test-node.js passed: detect: samples/in/ai-body.jpg default -2021-10-23 09:36:49 DATA:  test-node.js result: face: 1 body: 1 hand: 1 gesture: 5 object: 1 person: 1 {"score":1,"age":28.5,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} -2021-10-23 09:36:49 DATA:  test-node.js result: performance: load: 457 total: 1354 -2021-10-23 09:36:49 STATE: test-node.js passed: default sync -2021-10-23 09:36:49 STATE: test-node.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34696120} -2021-10-23 09:36:49 STATE: test-node.js passed: image input null [1,256,256,3] -2021-10-23 09:36:49 STATE: test-node.js passed: invalid input {"error":"could not convert input to tensor"} -2021-10-23 09:36:49 INFO:  test-node.js test face similarity -2021-10-23 09:36:49 STATE: test-node.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34696120} -2021-10-23 09:36:49 STATE: test-node.js event: image -2021-10-23 09:36:50 STATE: test-node.js event: detect -2021-10-23 09:36:50 STATE: test-node.js passed: detect: samples/in/ai-face.jpg default -2021-10-23 09:36:50 DATA:  test-node.js result: face: 1 body: 1 hand: 1 gesture: 5 object: 1 person: 1 {"score":1,"age":23.6,"gender":"female"} {"score":0.82,"class":"person"} {"score":0.47,"keypoints":3} -2021-10-23 09:36:50 DATA:  test-node.js result: performance: load: 457 total: 1238 -2021-10-23 09:36:51 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} -2021-10-23 09:36:51 STATE: test-node.js event: image -2021-10-23 09:36:53 STATE: test-node.js event: detect -2021-10-23 09:36:53 STATE: test-node.js passed: detect: samples/in/ai-body.jpg default -2021-10-23 09:36:53 DATA:  test-node.js result: face: 1 body: 1 hand: 1 gesture: 5 object: 1 person: 1 {"score":1,"age":28.5,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} -2021-10-23 09:36:53 DATA:  test-node.js result: performance: load: 457 total: 1438 -2021-10-23 09:36:53 STATE: test-node.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151289040} -2021-10-23 09:36:53 STATE: test-node.js event: image -2021-10-23 09:36:54 STATE: test-node.js event: detect -2021-10-23 09:36:54 STATE: test-node.js passed: detect: samples/in/ai-upper.jpg default -2021-10-23 09:36:54 DATA:  test-node.js result: face: 1 body: 1 hand: 0 gesture: 3 object: 1 person: 1 {"score":1,"age":29.5,"gender":"female"} {"score":0.71,"class":"person"} {"score":0.75,"keypoints":7} -2021-10-23 09:36:54 DATA:  test-node.js result: performance: load: 457 total: 1084 -2021-10-23 09:36:54 STATE: test-node.js passed: face descriptor -2021-10-23 09:36:54 STATE: test-node.js passed: face similarity {"similarity":[1,0.9020035660133001,0.8971897628968076],"descriptors":[1024,1024,1024]} -2021-10-23 09:36:54 INFO:  test-node.js test face matching -2021-10-23 09:36:54 STATE: test-node.js passed: face database 57 -2021-10-23 09:36:54 STATE: test-node.js passed: face match {"first":{"index":4,"similarity":0.953739066390141}} {"second":{"index":4,"similarity":0.9028518469611467}} {"third":{"index":4,"similarity":0.9020967977212865}} -2021-10-23 09:36:54 INFO:  test-node.js test object -2021-10-23 09:36:55 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} -2021-10-23 09:36:55 STATE: test-node.js event: image -2021-10-23 09:36:56 STATE: test-node.js event: detect -2021-10-23 09:36:56 STATE: test-node.js passed: detect: samples/in/ai-body.jpg default -2021-10-23 09:36:56 DATA:  test-node.js result: face: 1 body: 1 hand: 1 gesture: 5 object: 1 person: 1 {"score":1,"age":28.5,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} -2021-10-23 09:36:56 DATA:  test-node.js result: performance: load: 457 total: 1231 -2021-10-23 09:36:56 STATE: test-node.js passed: object result match -2021-10-23 09:36:56 INFO:  test-node.js test sensitive -2021-10-23 09:36:57 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} -2021-10-23 09:36:57 STATE: test-node.js event: image -2021-10-23 09:36:59 STATE: test-node.js event: detect -2021-10-23 09:36:59 STATE: test-node.js passed: detect: samples/in/ai-body.jpg default -2021-10-23 09:36:59 DATA:  test-node.js result: face: 1 body: 1 hand: 2 gesture: 7 object: 1 person: 1 {"score":1,"age":28.5,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} -2021-10-23 09:36:59 DATA:  test-node.js result: performance: load: 457 total: 1408 -2021-10-23 09:36:59 STATE: test-node.js passed: sensitive result match -2021-10-23 09:36:59 STATE: test-node.js passed: sensitive face result match -2021-10-23 09:36:59 STATE: test-node.js passed: sensitive face emotion result mismatch 4 -2021-10-23 09:36:59 STATE: test-node.js passed: sensitive body result match -2021-10-23 09:36:59 STATE: test-node.js passed: sensitive hand result match -2021-10-23 09:36:59 INFO:  test-node.js test detectors -2021-10-23 09:37:00 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} -2021-10-23 09:37:00 STATE: test-node.js event: image -2021-10-23 09:37:01 STATE: test-node.js event: detect -2021-10-23 09:37:01 STATE: test-node.js passed: detect: samples/in/ai-body.jpg default -2021-10-23 09:37:01 DATA:  test-node.js result: face: 1 body: 1 hand: 1 gesture: 1 object: 1 person: 1 {"score":0.93} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} -2021-10-23 09:37:01 DATA:  test-node.js result: performance: load: 457 total: 867 -2021-10-23 09:37:01 STATE: test-node.js passed: detector result face match -2021-10-23 09:37:01 STATE: test-node.js passed: detector result hand match -2021-10-23 09:37:01 STATE: test-node.js event: image -2021-10-23 09:37:02 STATE: test-node.js event: detect -2021-10-23 09:37:02 STATE: test-node.js passed: detect: random default -2021-10-23 09:37:02 DATA:  test-node.js result: face: 0 body: 1 hand: 0 gesture: 1 object: 0 person: 0 {} {} {"score":0.07,"keypoints":15} -2021-10-23 09:37:02 DATA:  test-node.js result: performance: load: 457 total: 843 -2021-10-23 09:37:02 INFO:  test-node.js test: first instance -2021-10-23 09:37:02 STATE: test-node.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151289040} -2021-10-23 09:37:03 STATE: test-node.js passed: detect: samples/in/ai-upper.jpg default -2021-10-23 09:37:03 DATA:  test-node.js result: face: 1 body: 1 hand: 0 gesture: 1 object: 1 person: 1 {"score":0.96} {"score":0.71,"class":"person"} {"score":0.75,"keypoints":16} -2021-10-23 09:37:03 DATA:  test-node.js result: performance: load: 4 total: 816 -2021-10-23 09:37:03 INFO:  test-node.js test: second instance -2021-10-23 09:37:03 STATE: test-node.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151289040} -2021-10-23 09:37:04 STATE: test-node.js passed: detect: samples/in/ai-upper.jpg default -2021-10-23 09:37:04 DATA:  test-node.js result: face: 1 body: 1 hand: 0 gesture: 1 object: 1 person: 1 {"score":0.96} {"score":0.71,"class":"person"} {"score":0.75,"keypoints":16} -2021-10-23 09:37:04 DATA:  test-node.js result: performance: load: 2 total: 819 -2021-10-23 09:37:04 INFO:  test-node.js test: concurrent -2021-10-23 09:37:04 STATE: test-node.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34696120} -2021-10-23 09:37:04 STATE: test-node.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34696120} -2021-10-23 09:37:05 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} -2021-10-23 09:37:06 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} -2021-10-23 09:37:06 STATE: test-node.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151289040} -2021-10-23 09:37:07 STATE: test-node.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151289040} -2021-10-23 09:37:07 STATE: test-node.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34696120} -2021-10-23 09:37:08 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} -2021-10-23 09:37:08 STATE: test-node.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151289040} -2021-10-23 09:37:09 STATE: test-node.js event: image -2021-10-23 09:37:09 STATE: test-node.js event: image -2021-10-23 09:37:09 STATE: test-node.js event: image -2021-10-23 09:37:16 STATE: test-node.js passed: detect: samples/in/ai-upper.jpg default -2021-10-23 09:37:16 DATA:  test-node.js result: face: 1 body: 1 hand: 0 gesture: 1 object: 1 person: 1 {"score":0.96} {"score":0.71,"class":"person"} {"score":0.75,"keypoints":16} -2021-10-23 09:37:16 DATA:  test-node.js result: performance: load: 1367 total: 8866 -2021-10-23 09:37:16 STATE: test-node.js passed: detect: samples/in/ai-upper.jpg default -2021-10-23 09:37:16 DATA:  test-node.js result: face: 2 body: 1 hand: 0 gesture: 1 object: 1 person: 2 {"score":0.96} {"score":0.71,"class":"person"} {"score":0.75,"keypoints":16} -2021-10-23 09:37:16 DATA:  test-node.js result: performance: load: 1367 total: 8866 -2021-10-23 09:37:16 STATE: test-node.js passed: detect: samples/in/ai-face.jpg default -2021-10-23 09:37:16 DATA:  test-node.js result: face: 1 body: 1 hand: 1 gesture: 2 object: 1 person: 1 {"score":0.91} {"score":0.82,"class":"person"} {"score":0.47,"keypoints":17} -2021-10-23 09:37:16 DATA:  test-node.js result: performance: load: 1367 total: 8870 -2021-10-23 09:37:16 STATE: test-node.js passed: detect: samples/in/ai-face.jpg default -2021-10-23 09:37:16 DATA:  test-node.js result: face: 2 body: 1 hand: 1 gesture: 2 object: 1 person: 2 {"score":0.91} {"score":0.82,"class":"person"} {"score":0.47,"keypoints":17} -2021-10-23 09:37:16 DATA:  test-node.js result: performance: load: 1367 total: 8870 -2021-10-23 09:37:16 STATE: test-node.js passed: detect: samples/in/ai-body.jpg default -2021-10-23 09:37:16 DATA:  test-node.js result: face: 1 body: 1 hand: 1 gesture: 1 object: 1 person: 1 {"score":0.93} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} -2021-10-23 09:37:16 DATA:  test-node.js result: performance: load: 1367 total: 8870 -2021-10-23 09:37:16 STATE: test-node.js passed: detect: samples/in/ai-body.jpg default -2021-10-23 09:37:16 DATA:  test-node.js result: face: 2 body: 1 hand: 1 gesture: 1 object: 1 person: 2 {"score":0.93} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} -2021-10-23 09:37:16 DATA:  test-node.js result: performance: load: 1367 total: 8870 -2021-10-23 09:37:16 STATE: test-node.js event: detect -2021-10-23 09:37:16 STATE: test-node.js passed: detect: samples/in/ai-upper.jpg default -2021-10-23 09:37:16 DATA:  test-node.js result: face: 5 body: 1 hand: 0 gesture: 1 object: 1 person: 5 {"score":0.96} {"score":0.71,"class":"person"} {"score":0.75,"keypoints":16} -2021-10-23 09:37:16 DATA:  test-node.js result: performance: load: 2769 total: 7506 -2021-10-23 09:37:16 STATE: test-node.js event: detect -2021-10-23 09:37:16 STATE: test-node.js event: detect -2021-10-23 09:37:16 STATE: test-node.js passed: detect: samples/in/ai-face.jpg default -2021-10-23 09:37:16 DATA:  test-node.js result: face: 3 body: 1 hand: 1 gesture: 2 object: 1 person: 3 {"score":0.96} {"score":0.82,"class":"person"} {"score":0.47,"keypoints":17} -2021-10-23 09:37:16 DATA:  test-node.js result: performance: load: 2769 total: 7506 -2021-10-23 09:37:16 STATE: test-node.js passed: detect: samples/in/ai-body.jpg default -2021-10-23 09:37:16 DATA:  test-node.js result: face: 4 body: 1 hand: 1 gesture: 1 object: 1 person: 4 {"score":0.96} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} -2021-10-23 09:37:16 DATA:  test-node.js result: performance: load: 2769 total: 7506 -2021-10-23 09:37:16 STATE: test-node.js event: image -2021-10-23 09:37:16 STATE: test-node.js event: detect -2021-10-23 09:37:16 STATE: test-node.js passed: monkey patch -2021-10-23 09:37:17 STATE: test-node.js passed: segmentation [65536] -2021-10-23 09:37:17 STATE: test-node.js passeed: equal usage -2021-10-23 09:37:17 INFO:  test-node.js events: {"image":15,"detect":15,"warmup":2} -2021-10-23 09:37:17 INFO:  test-node.js tensors 1924 -2021-10-23 09:37:17 INFO:  test-node.js test complete: 36160 ms -2021-10-23 09:37:17 INFO:  -2021-10-23 09:37:17 INFO:  test-node-gpu.js start -2021-10-23 09:37:18 STATE: test-node-gpu.js passed: configuration default validation [] -2021-10-23 09:37:18 STATE: test-node-gpu.js passed: configuration invalid validation [{"reason":"unknown property","where":"config.invalid = true"}] -2021-10-23 09:37:19 STATE: test-node-gpu.js passed: models loaded 21 10 [{"name":"age","loaded":false},{"name":"agegenderrace","loaded":false},{"name":"blazeposedetect","loaded":false},{"name":"blazepose","loaded":false},{"name":"centernet","loaded":true},{"name":"efficientpose","loaded":false},{"name":"embedding","loaded":false},{"name":"emotion","loaded":true},{"name":"facedetect","loaded":true},{"name":"faceiris","loaded":true},{"name":"facemesh","loaded":true},{"name":"faceres","loaded":true},{"name":"gender","loaded":false},{"name":"handpose","loaded":false},{"name":"handskeleton","loaded":true},{"name":"handtrack","loaded":true},{"name":"movenet","loaded":true},{"name":"nanodet","loaded":false},{"name":"posenet","loaded":false},{"name":"segmentation","loaded":true},{"name":"antispoof","loaded":false}] -2021-10-23 09:37:19 STATE: test-node-gpu.js passed: create human -2021-10-23 09:37:19 INFO:  test-node-gpu.js human version: 2.4.0 -2021-10-23 09:37:19 INFO:  test-node-gpu.js platform: linux x64 agent: NodeJS v16.10.0 -2021-10-23 09:37:19 INFO:  test-node-gpu.js tfjs version: 3.10.0 -2021-10-23 09:37:19 STATE: test-node-gpu.js passed: set backend: tensorflow -2021-10-23 09:37:19 STATE: test-node-gpu.js tensors 1920 -2021-10-23 09:37:19 STATE: test-node-gpu.js passed: load models -2021-10-23 09:37:19 STATE: test-node-gpu.js result: defined models: 21 loaded models: 10 -2021-10-23 09:37:19 STATE: test-node-gpu.js passed: warmup: none default -2021-10-23 09:37:19 STATE: test-node-gpu.js passed: warmup none result match -2021-10-23 09:37:19 STATE: test-node-gpu.js event: image -2021-10-23 09:37:21 STATE: test-node-gpu.js event: detect -2021-10-23 09:37:21 STATE: test-node-gpu.js event: warmup -2021-10-23 09:37:21 STATE: test-node-gpu.js passed: warmup: face default -2021-10-23 09:37:21 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 1 gesture: 6 object: 1 person: 1 {"score":1,"age":23.6,"gender":"female"} {"score":0.82,"class":"person"} {"score":0.42,"keypoints":4} -2021-10-23 09:37:21 DATA:  test-node-gpu.js result: performance: load: 403 total: 1854 -2021-10-23 09:37:21 STATE: test-node-gpu.js passed: warmup face result match -2021-10-23 09:37:21 STATE: test-node-gpu.js event: image -2021-10-23 09:37:22 STATE: test-node-gpu.js event: detect -2021-10-23 09:37:22 STATE: test-node-gpu.js event: warmup -2021-10-23 09:37:22 STATE: test-node-gpu.js passed: warmup: body default -2021-10-23 09:37:22 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 1 gesture: 5 object: 1 person: 1 {"score":1,"age":29.5,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} -2021-10-23 09:37:22 DATA:  test-node-gpu.js result: performance: load: 403 total: 1337 -2021-10-23 09:37:22 STATE: test-node-gpu.js passed: warmup body result match -2021-10-23 09:37:22 INFO:  test-node-gpu.js test default -2021-10-23 09:37:23 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} -2021-10-23 09:37:23 STATE: test-node-gpu.js event: image -2021-10-23 09:37:24 STATE: test-node-gpu.js event: detect -2021-10-23 09:37:24 STATE: test-node-gpu.js passed: detect: samples/in/ai-body.jpg default -2021-10-23 09:37:24 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 1 gesture: 5 object: 1 person: 1 {"score":1,"age":28.5,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} -2021-10-23 09:37:24 DATA:  test-node-gpu.js result: performance: load: 403 total: 1261 -2021-10-23 09:37:24 STATE: test-node-gpu.js passed: default result face match -2021-10-23 09:37:24 INFO:  test-node-gpu.js test sync -2021-10-23 09:37:25 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} -2021-10-23 09:37:25 STATE: test-node-gpu.js event: image -2021-10-23 09:37:27 STATE: test-node-gpu.js event: detect -2021-10-23 09:37:27 STATE: test-node-gpu.js passed: detect: samples/in/ai-body.jpg default -2021-10-23 09:37:27 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 1 gesture: 5 object: 1 person: 1 {"score":1,"age":28.5,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} -2021-10-23 09:37:27 DATA:  test-node-gpu.js result: performance: load: 403 total: 1371 -2021-10-23 09:37:27 STATE: test-node-gpu.js passed: default sync -2021-10-23 09:37:27 STATE: test-node-gpu.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34696120} -2021-10-23 09:37:27 STATE: test-node-gpu.js passed: image input null [1,256,256,3] -2021-10-23 09:37:27 STATE: test-node-gpu.js passed: invalid input {"error":"could not convert input to tensor"} -2021-10-23 09:37:27 INFO:  test-node-gpu.js test face similarity -2021-10-23 09:37:27 STATE: test-node-gpu.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34696120} -2021-10-23 09:37:27 STATE: test-node-gpu.js event: image -2021-10-23 09:37:28 STATE: test-node-gpu.js event: detect -2021-10-23 09:37:28 STATE: test-node-gpu.js passed: detect: samples/in/ai-face.jpg default -2021-10-23 09:37:28 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 1 gesture: 5 object: 1 person: 1 {"score":1,"age":23.6,"gender":"female"} {"score":0.82,"class":"person"} {"score":0.47,"keypoints":3} -2021-10-23 09:37:28 DATA:  test-node-gpu.js result: performance: load: 403 total: 1227 -2021-10-23 09:37:29 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} -2021-10-23 09:37:29 STATE: test-node-gpu.js event: image -2021-10-23 09:37:30 STATE: test-node-gpu.js event: detect -2021-10-23 09:37:30 STATE: test-node-gpu.js passed: detect: samples/in/ai-body.jpg default -2021-10-23 09:37:30 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 1 gesture: 5 object: 1 person: 1 {"score":1,"age":28.5,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} -2021-10-23 09:37:30 DATA:  test-node-gpu.js result: performance: load: 403 total: 1254 -2021-10-23 09:37:31 STATE: test-node-gpu.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151289040} -2021-10-23 09:37:31 STATE: test-node-gpu.js event: image -2021-10-23 09:37:32 STATE: test-node-gpu.js event: detect -2021-10-23 09:37:32 STATE: test-node-gpu.js passed: detect: samples/in/ai-upper.jpg default -2021-10-23 09:37:32 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 0 gesture: 3 object: 1 person: 1 {"score":1,"age":29.5,"gender":"female"} {"score":0.71,"class":"person"} {"score":0.75,"keypoints":7} -2021-10-23 09:37:32 DATA:  test-node-gpu.js result: performance: load: 403 total: 1049 -2021-10-23 09:37:32 STATE: test-node-gpu.js passed: face descriptor -2021-10-23 09:37:32 STATE: test-node-gpu.js passed: face similarity {"similarity":[1,0.9020035660133001,0.8971897628968076],"descriptors":[1024,1024,1024]} -2021-10-23 09:37:32 INFO:  test-node-gpu.js test face matching -2021-10-23 09:37:32 STATE: test-node-gpu.js passed: face database 57 -2021-10-23 09:37:32 STATE: test-node-gpu.js passed: face match {"first":{"index":4,"similarity":0.953739066390141}} {"second":{"index":4,"similarity":0.9028518469611467}} {"third":{"index":4,"similarity":0.9020967977212865}} -2021-10-23 09:37:32 INFO:  test-node-gpu.js test object -2021-10-23 09:37:33 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} -2021-10-23 09:37:33 STATE: test-node-gpu.js event: image -2021-10-23 09:37:34 STATE: test-node-gpu.js event: detect -2021-10-23 09:37:34 STATE: test-node-gpu.js passed: detect: samples/in/ai-body.jpg default -2021-10-23 09:37:34 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 1 gesture: 5 object: 1 person: 1 {"score":1,"age":28.5,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} -2021-10-23 09:37:34 DATA:  test-node-gpu.js result: performance: load: 403 total: 1233 -2021-10-23 09:37:34 STATE: test-node-gpu.js passed: object result match -2021-10-23 09:37:34 INFO:  test-node-gpu.js test sensitive -2021-10-23 09:37:35 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} -2021-10-23 09:37:35 STATE: test-node-gpu.js event: image -2021-10-23 09:37:36 STATE: test-node-gpu.js event: detect -2021-10-23 09:37:36 STATE: test-node-gpu.js passed: detect: samples/in/ai-body.jpg default -2021-10-23 09:37:36 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 2 gesture: 7 object: 1 person: 1 {"score":1,"age":28.5,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} -2021-10-23 09:37:36 DATA:  test-node-gpu.js result: performance: load: 403 total: 1404 -2021-10-23 09:37:36 STATE: test-node-gpu.js passed: sensitive result match -2021-10-23 09:37:36 STATE: test-node-gpu.js passed: sensitive face result match -2021-10-23 09:37:36 STATE: test-node-gpu.js passed: sensitive face emotion result mismatch 4 -2021-10-23 09:37:36 STATE: test-node-gpu.js passed: sensitive body result match -2021-10-23 09:37:36 STATE: test-node-gpu.js passed: sensitive hand result match -2021-10-23 09:37:36 INFO:  test-node-gpu.js test detectors -2021-10-23 09:37:37 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} -2021-10-23 09:37:37 STATE: test-node-gpu.js event: image -2021-10-23 09:37:38 STATE: test-node-gpu.js event: detect -2021-10-23 09:37:38 STATE: test-node-gpu.js passed: detect: samples/in/ai-body.jpg default -2021-10-23 09:37:38 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 1 gesture: 1 object: 1 person: 1 {"score":0.93} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} -2021-10-23 09:37:38 DATA:  test-node-gpu.js result: performance: load: 403 total: 853 -2021-10-23 09:37:38 STATE: test-node-gpu.js passed: detector result face match -2021-10-23 09:37:38 STATE: test-node-gpu.js passed: detector result hand match -2021-10-23 09:37:38 STATE: test-node-gpu.js event: image -2021-10-23 09:37:39 STATE: test-node-gpu.js event: detect -2021-10-23 09:37:39 STATE: test-node-gpu.js passed: detect: random default -2021-10-23 09:37:39 DATA:  test-node-gpu.js result: face: 0 body: 1 hand: 0 gesture: 1 object: 0 person: 0 {} {} {"score":0.07,"keypoints":15} -2021-10-23 09:37:39 DATA:  test-node-gpu.js result: performance: load: 403 total: 799 -2021-10-23 09:37:39 INFO:  test-node-gpu.js test: first instance -2021-10-23 09:37:39 STATE: test-node-gpu.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151289040} -2021-10-23 09:37:40 STATE: test-node-gpu.js passed: detect: samples/in/ai-upper.jpg default -2021-10-23 09:37:40 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 0 gesture: 1 object: 1 person: 1 {"score":0.96} {"score":0.71,"class":"person"} {"score":0.75,"keypoints":16} -2021-10-23 09:37:40 DATA:  test-node-gpu.js result: performance: load: 5 total: 826 -2021-10-23 09:37:40 INFO:  test-node-gpu.js test: second instance -2021-10-23 09:37:41 STATE: test-node-gpu.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151289040} -2021-10-23 09:37:41 STATE: test-node-gpu.js passed: detect: samples/in/ai-upper.jpg default -2021-10-23 09:37:41 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 0 gesture: 1 object: 1 person: 1 {"score":0.96} {"score":0.71,"class":"person"} {"score":0.75,"keypoints":16} -2021-10-23 09:37:41 DATA:  test-node-gpu.js result: performance: load: 2 total: 779 -2021-10-23 09:37:41 INFO:  test-node-gpu.js test: concurrent -2021-10-23 09:37:41 STATE: test-node-gpu.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34696120} -2021-10-23 09:37:41 STATE: test-node-gpu.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34696120} -2021-10-23 09:37:42 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} -2021-10-23 09:37:43 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} -2021-10-23 09:37:44 STATE: test-node-gpu.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151289040} -2021-10-23 09:37:44 STATE: test-node-gpu.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151289040} -2021-10-23 09:37:44 STATE: test-node-gpu.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34696120} -2021-10-23 09:37:45 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} -2021-10-23 09:37:45 STATE: test-node-gpu.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151289040} -2021-10-23 09:37:46 STATE: test-node-gpu.js event: image -2021-10-23 09:37:46 STATE: test-node-gpu.js event: image -2021-10-23 09:37:46 STATE: test-node-gpu.js event: image -2021-10-23 09:37:53 STATE: test-node-gpu.js passed: detect: samples/in/ai-upper.jpg default -2021-10-23 09:37:53 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 0 gesture: 1 object: 1 person: 1 {"score":0.96} {"score":0.71,"class":"person"} {"score":0.75,"keypoints":16} -2021-10-23 09:37:53 DATA:  test-node-gpu.js result: performance: load: 1339 total: 8652 -2021-10-23 09:37:53 STATE: test-node-gpu.js passed: detect: samples/in/ai-upper.jpg default -2021-10-23 09:37:53 DATA:  test-node-gpu.js result: face: 2 body: 1 hand: 0 gesture: 1 object: 1 person: 2 {"score":0.96} {"score":0.71,"class":"person"} {"score":0.75,"keypoints":16} -2021-10-23 09:37:53 DATA:  test-node-gpu.js result: performance: load: 1339 total: 8652 -2021-10-23 09:37:53 STATE: test-node-gpu.js passed: detect: samples/in/ai-face.jpg default -2021-10-23 09:37:53 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 1 gesture: 2 object: 1 person: 1 {"score":0.91} {"score":0.82,"class":"person"} {"score":0.47,"keypoints":17} -2021-10-23 09:37:53 DATA:  test-node-gpu.js result: performance: load: 1339 total: 8656 -2021-10-23 09:37:53 STATE: test-node-gpu.js passed: detect: samples/in/ai-face.jpg default -2021-10-23 09:37:53 DATA:  test-node-gpu.js result: face: 2 body: 1 hand: 1 gesture: 2 object: 1 person: 2 {"score":0.91} {"score":0.82,"class":"person"} {"score":0.47,"keypoints":17} -2021-10-23 09:37:53 DATA:  test-node-gpu.js result: performance: load: 1339 total: 8656 -2021-10-23 09:37:53 STATE: test-node-gpu.js passed: detect: samples/in/ai-body.jpg default -2021-10-23 09:37:53 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 1 gesture: 1 object: 1 person: 1 {"score":0.93} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} -2021-10-23 09:37:53 DATA:  test-node-gpu.js result: performance: load: 1339 total: 8656 -2021-10-23 09:37:53 STATE: test-node-gpu.js passed: detect: samples/in/ai-body.jpg default -2021-10-23 09:37:53 DATA:  test-node-gpu.js result: face: 2 body: 1 hand: 1 gesture: 1 object: 1 person: 2 {"score":0.93} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} -2021-10-23 09:37:53 DATA:  test-node-gpu.js result: performance: load: 1339 total: 8656 -2021-10-23 09:37:53 STATE: test-node-gpu.js event: detect -2021-10-23 09:37:53 STATE: test-node-gpu.js passed: detect: samples/in/ai-upper.jpg default -2021-10-23 09:37:53 DATA:  test-node-gpu.js result: face: 5 body: 1 hand: 0 gesture: 1 object: 1 person: 5 {"score":0.96} {"score":0.71,"class":"person"} {"score":0.75,"keypoints":16} -2021-10-23 09:37:53 DATA:  test-node-gpu.js result: performance: load: 2734 total: 7318 -2021-10-23 09:37:53 STATE: test-node-gpu.js event: detect -2021-10-23 09:37:53 STATE: test-node-gpu.js event: detect -2021-10-23 09:37:53 STATE: test-node-gpu.js passed: detect: samples/in/ai-face.jpg default -2021-10-23 09:37:53 DATA:  test-node-gpu.js result: face: 3 body: 1 hand: 1 gesture: 2 object: 1 person: 3 {"score":0.96} {"score":0.82,"class":"person"} {"score":0.47,"keypoints":17} -2021-10-23 09:37:53 DATA:  test-node-gpu.js result: performance: load: 2734 total: 7318 -2021-10-23 09:37:53 STATE: test-node-gpu.js passed: detect: samples/in/ai-body.jpg default -2021-10-23 09:37:53 DATA:  test-node-gpu.js result: face: 4 body: 1 hand: 1 gesture: 1 object: 1 person: 4 {"score":0.96} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} -2021-10-23 09:37:53 DATA:  test-node-gpu.js result: performance: load: 2734 total: 7318 -2021-10-23 09:37:53 STATE: test-node-gpu.js event: image -2021-10-23 09:37:53 STATE: test-node-gpu.js event: detect -2021-10-23 09:37:53 STATE: test-node-gpu.js passed: monkey patch -2021-10-23 09:37:54 STATE: test-node-gpu.js passed: segmentation [65536] -2021-10-23 09:37:54 STATE: test-node-gpu.js passeed: equal usage -2021-10-23 09:37:54 INFO:  test-node-gpu.js events: {"image":15,"detect":15,"warmup":2} -2021-10-23 09:37:54 INFO:  test-node-gpu.js tensors 1924 -2021-10-23 09:37:54 INFO:  test-node-gpu.js test complete: 35331 ms -2021-10-23 09:37:54 INFO:  -2021-10-23 09:37:54 INFO:  test-node-wasm.js start -2021-10-23 09:37:55 STATE: test-node-wasm.js passed: model server: https://vladmandic.github.io/human/models/ -2021-10-23 09:37:55 STATE: test-node-wasm.js passed: configuration default validation [] -2021-10-23 09:37:55 STATE: test-node-wasm.js passed: configuration invalid validation [{"reason":"unknown property","where":"config.invalid = true"}] -2021-10-23 09:37:58 STATE: test-node-wasm.js passed: models loaded 21 10 [{"name":"age","loaded":false},{"name":"agegenderrace","loaded":false},{"name":"blazeposedetect","loaded":false},{"name":"blazepose","loaded":false},{"name":"centernet","loaded":true},{"name":"efficientpose","loaded":false},{"name":"embedding","loaded":false},{"name":"emotion","loaded":true},{"name":"facedetect","loaded":true},{"name":"faceiris","loaded":true},{"name":"facemesh","loaded":true},{"name":"faceres","loaded":true},{"name":"gender","loaded":false},{"name":"handpose","loaded":false},{"name":"handskeleton","loaded":true},{"name":"handtrack","loaded":true},{"name":"movenet","loaded":true},{"name":"nanodet","loaded":false},{"name":"posenet","loaded":false},{"name":"segmentation","loaded":true},{"name":"antispoof","loaded":false}] -2021-10-23 09:37:58 STATE: test-node-wasm.js passed: create human -2021-10-23 09:37:58 INFO:  test-node-wasm.js human version: 2.4.0 -2021-10-23 09:37:58 INFO:  test-node-wasm.js platform: linux x64 agent: NodeJS v16.10.0 -2021-10-23 09:37:58 INFO:  test-node-wasm.js tfjs version: 3.10.0 -2021-10-23 09:37:58 STATE: test-node-wasm.js passed: set backend: wasm -2021-10-23 09:37:58 STATE: test-node-wasm.js tensors 1920 -2021-10-23 09:37:58 STATE: test-node-wasm.js passed: load models -2021-10-23 09:37:58 STATE: test-node-wasm.js result: defined models: 21 loaded models: 10 -2021-10-23 09:37:58 STATE: test-node-wasm.js passed: warmup: none default -2021-10-23 09:37:58 STATE: test-node-wasm.js passed: warmup none result match -2021-10-23 09:37:58 STATE: test-node-wasm.js event: image -2021-10-23 09:38:00 STATE: test-node-wasm.js event: detect -2021-10-23 09:38:00 STATE: test-node-wasm.js event: warmup -2021-10-23 09:38:00 STATE: test-node-wasm.js passed: warmup: face default -2021-10-23 09:38:00 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 1 gesture: 5 object: 0 person: 1 {"score":1,"age":23.6,"gender":"female"} {} {"score":0.47,"keypoints":3} -2021-10-23 09:38:00 DATA:  test-node-wasm.js result: performance: load: 3713 total: 1331 -2021-10-23 09:38:00 ERROR: test-node-wasm.js failed: warmup face result mismatch 1 1 1 5 -2021-10-23 09:38:00 STATE: test-node-wasm.js event: image -2021-10-23 09:38:01 STATE: test-node-wasm.js event: detect -2021-10-23 09:38:01 STATE: test-node-wasm.js event: warmup -2021-10-23 09:38:01 STATE: test-node-wasm.js passed: warmup: body default -2021-10-23 09:38:01 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 1 gesture: 5 object: 0 person: 1 {"score":1,"age":28.5,"gender":"female"} {} {"score":0.92,"keypoints":17} -2021-10-23 09:38:01 DATA:  test-node-wasm.js result: performance: load: 3713 total: 968 -2021-10-23 09:38:01 STATE: test-node-wasm.js passed: warmup body result match -2021-10-23 09:38:01 INFO:  test-node-wasm.js test default -2021-10-23 09:38:03 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1038921856} -2021-10-23 09:38:03 STATE: test-node-wasm.js event: image -2021-10-23 09:38:04 STATE: test-node-wasm.js event: detect -2021-10-23 09:38:04 STATE: test-node-wasm.js passed: detect: samples/in/ai-body.jpg default -2021-10-23 09:38:04 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 1 gesture: 5 object: 0 person: 1 {"score":1,"age":28.5,"gender":"female"} {} {"score":0.92,"keypoints":17} -2021-10-23 09:38:04 DATA:  test-node-wasm.js result: performance: load: 3713 total: 1007 -2021-10-23 09:38:04 STATE: test-node-wasm.js passed: default result face match -2021-10-23 09:38:04 INFO:  test-node-wasm.js test sync -2021-10-23 09:38:06 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1038921856} -2021-10-23 09:38:06 STATE: test-node-wasm.js event: image -2021-10-23 09:38:07 STATE: test-node-wasm.js event: detect -2021-10-23 09:38:07 STATE: test-node-wasm.js passed: detect: samples/in/ai-body.jpg default -2021-10-23 09:38:07 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 1 gesture: 5 object: 0 person: 1 {"score":1,"age":28.5,"gender":"female"} {} {"score":0.92,"keypoints":17} -2021-10-23 09:38:07 DATA:  test-node-wasm.js result: performance: load: 3713 total: 998 -2021-10-23 09:38:07 STATE: test-node-wasm.js passed: default sync -2021-10-23 09:38:07 STATE: test-node-wasm.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34697856} -2021-10-23 09:38:07 STATE: test-node-wasm.js passed: image input null [1,256,256,3] -2021-10-23 09:38:07 STATE: test-node-wasm.js passed: invalid input {"error":"could not convert input to tensor"} -2021-10-23 09:38:07 INFO:  test-node-wasm.js test face similarity -2021-10-23 09:38:07 STATE: test-node-wasm.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34697856} -2021-10-23 09:38:07 STATE: test-node-wasm.js event: image -2021-10-23 09:38:08 STATE: test-node-wasm.js event: detect -2021-10-23 09:38:08 STATE: test-node-wasm.js passed: detect: samples/in/ai-face.jpg default -2021-10-23 09:38:08 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 1 gesture: 5 object: 0 person: 1 {"score":1,"age":28.4,"gender":"female"} {} {"score":0.47,"keypoints":3} -2021-10-23 09:38:08 DATA:  test-node-wasm.js result: performance: load: 3713 total: 841 -2021-10-23 09:38:10 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1038921856} -2021-10-23 09:38:10 STATE: test-node-wasm.js event: image -2021-10-23 09:38:11 STATE: test-node-wasm.js event: detect -2021-10-23 09:38:11 STATE: test-node-wasm.js passed: detect: samples/in/ai-body.jpg default -2021-10-23 09:38:11 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 1 gesture: 5 object: 0 person: 1 {"score":1,"age":28.5,"gender":"female"} {} {"score":0.92,"keypoints":17} -2021-10-23 09:38:11 DATA:  test-node-wasm.js result: performance: load: 3713 total: 994 -2021-10-23 09:38:12 STATE: test-node-wasm.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151155104} -2021-10-23 09:38:12 STATE: test-node-wasm.js event: image -2021-10-23 09:38:13 STATE: test-node-wasm.js event: detect -2021-10-23 09:38:13 STATE: test-node-wasm.js passed: detect: samples/in/ai-upper.jpg default -2021-10-23 09:38:13 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 0 gesture: 5 object: 0 person: 1 {"score":1,"age":29.5,"gender":"female"} {} {"score":0.75,"keypoints":7} -2021-10-23 09:38:13 DATA:  test-node-wasm.js result: performance: load: 3713 total: 750 -2021-10-23 09:38:13 STATE: test-node-wasm.js passed: face descriptor -2021-10-23 09:38:13 STATE: test-node-wasm.js passed: face similarity {"similarity":[1,0.9040641336882139,0.895983704095898],"descriptors":[1024,1024,1024]} -2021-10-23 09:38:13 INFO:  test-node-wasm.js test face matching -2021-10-23 09:38:13 STATE: test-node-wasm.js passed: face database 57 -2021-10-23 09:38:13 STATE: test-node-wasm.js passed: face match {"first":{"index":4,"similarity":0.9902354470817274}} {"second":{"index":4,"similarity":0.9045213429149392}} {"third":{"index":4,"similarity":0.8965257196777969}} -2021-10-23 09:38:13 INFO:  test-node-wasm.js test object -2021-10-23 09:38:15 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1038921856} -2021-10-23 09:38:15 STATE: test-node-wasm.js event: image -2021-10-23 09:38:16 STATE: test-node-wasm.js event: detect -2021-10-23 09:38:16 STATE: test-node-wasm.js passed: detect: samples/in/ai-body.jpg default -2021-10-23 09:38:16 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 1 gesture: 5 object: 0 person: 1 {"score":1,"age":28.5,"gender":"female"} {} {"score":0.92,"keypoints":17} -2021-10-23 09:38:16 DATA:  test-node-wasm.js result: performance: load: 3713 total: 992 -2021-10-23 09:38:16 ERROR: test-node-wasm.js failed: object result mismatch 0 -2021-10-23 09:38:16 INFO:  test-node-wasm.js test sensitive -2021-10-23 09:38:18 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1038921856} -2021-10-23 09:38:18 STATE: test-node-wasm.js event: image -2021-10-23 09:38:19 STATE: test-node-wasm.js event: detect -2021-10-23 09:38:19 STATE: test-node-wasm.js passed: detect: samples/in/ai-body.jpg default -2021-10-23 09:38:19 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 2 gesture: 7 object: 0 person: 1 {"score":1,"age":28.5,"gender":"female"} {} {"score":0.92,"keypoints":17} -2021-10-23 09:38:19 DATA:  test-node-wasm.js result: performance: load: 3713 total: 1156 -2021-10-23 09:38:19 STATE: test-node-wasm.js passed: sensitive result match -2021-10-23 09:38:19 STATE: test-node-wasm.js passed: sensitive face result match -2021-10-23 09:38:19 ERROR: test-node-wasm.js failed: sensitive face emotion result mismatch 3 -2021-10-23 09:38:19 STATE: test-node-wasm.js passed: sensitive body result match -2021-10-23 09:38:19 STATE: test-node-wasm.js passed: sensitive hand result match -2021-10-23 09:38:19 INFO:  test-node-wasm.js test detectors -2021-10-23 09:38:21 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1038921856} -2021-10-23 09:38:21 STATE: test-node-wasm.js event: image -2021-10-23 09:38:21 STATE: test-node-wasm.js event: detect -2021-10-23 09:38:21 STATE: test-node-wasm.js passed: detect: samples/in/ai-body.jpg default -2021-10-23 09:38:21 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 1 gesture: 1 object: 0 person: 1 {"score":0.93} {} {"score":0.92,"keypoints":17} -2021-10-23 09:38:21 DATA:  test-node-wasm.js result: performance: load: 3713 total: 426 -2021-10-23 09:38:21 STATE: test-node-wasm.js passed: detector result face match -2021-10-23 09:38:21 STATE: test-node-wasm.js passed: detector result hand match -2021-10-23 09:38:21 STATE: test-node-wasm.js event: image -2021-10-23 09:38:22 STATE: test-node-wasm.js event: detect -2021-10-23 09:38:22 STATE: test-node-wasm.js passed: detect: random default -2021-10-23 09:38:22 DATA:  test-node-wasm.js result: face: 0 body: 1 hand: 0 gesture: 2 object: 0 person: 0 {} {} {"score":0.07,"keypoints":15} -2021-10-23 09:38:22 DATA:  test-node-wasm.js result: performance: load: 3713 total: 400 -2021-10-23 09:38:22 INFO:  test-node-wasm.js test: first instance -2021-10-23 09:38:23 STATE: test-node-wasm.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151155104} -2021-10-23 09:38:23 STATE: test-node-wasm.js passed: detect: samples/in/ai-upper.jpg default -2021-10-23 09:38:23 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 0 gesture: 1 object: 0 person: 1 {"score":0.96} {} {"score":0.75,"keypoints":16} -2021-10-23 09:38:23 DATA:  test-node-wasm.js result: performance: load: 2 total: 397 -2021-10-23 09:38:23 INFO:  test-node-wasm.js test: second instance -2021-10-23 09:38:24 STATE: test-node-wasm.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151155104} -2021-10-23 09:38:24 STATE: test-node-wasm.js passed: detect: samples/in/ai-upper.jpg default -2021-10-23 09:38:24 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 0 gesture: 1 object: 0 person: 1 {"score":0.96} {} {"score":0.75,"keypoints":16} -2021-10-23 09:38:24 DATA:  test-node-wasm.js result: performance: load: 3 total: 399 -2021-10-23 09:38:24 INFO:  test-node-wasm.js test: concurrent -2021-10-23 09:38:24 STATE: test-node-wasm.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34697856} -2021-10-23 09:38:24 STATE: test-node-wasm.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34697856} -2021-10-23 09:38:26 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1038921856} -2021-10-23 09:38:28 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1038921856} -2021-10-23 09:38:29 STATE: test-node-wasm.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151155104} -2021-10-23 09:38:29 STATE: test-node-wasm.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151155104} -2021-10-23 09:38:30 STATE: test-node-wasm.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34697856} -2021-10-23 09:38:32 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1038921856} -2021-10-23 09:38:32 STATE: test-node-wasm.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151155104} -2021-10-23 09:38:33 STATE: test-node-wasm.js event: image -2021-10-23 09:38:33 STATE: test-node-wasm.js event: image -2021-10-23 09:38:33 STATE: test-node-wasm.js event: image -2021-10-23 09:38:36 STATE: test-node-wasm.js passed: detect: samples/in/ai-upper.jpg default -2021-10-23 09:38:36 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 0 gesture: 1 object: 0 person: 1 {"score":0.96} {} {"score":0.75,"keypoints":16} -2021-10-23 09:38:36 DATA:  test-node-wasm.js result: performance: load: 2764 total: 6558 -2021-10-23 09:38:36 STATE: test-node-wasm.js passed: detect: samples/in/ai-upper.jpg default -2021-10-23 09:38:36 DATA:  test-node-wasm.js result: face: 2 body: 1 hand: 0 gesture: 1 object: 0 person: 2 {"score":0.96} {} {"score":0.75,"keypoints":16} -2021-10-23 09:38:36 DATA:  test-node-wasm.js result: performance: load: 2764 total: 6558 -2021-10-23 09:38:36 STATE: test-node-wasm.js passed: detect: samples/in/ai-face.jpg default -2021-10-23 09:38:36 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 1 gesture: 2 object: 0 person: 1 {"score":0.91} {} {"score":0.47,"keypoints":17} -2021-10-23 09:38:36 DATA:  test-node-wasm.js result: performance: load: 2764 total: 6560 -2021-10-23 09:38:36 STATE: test-node-wasm.js passed: detect: samples/in/ai-face.jpg default -2021-10-23 09:38:36 DATA:  test-node-wasm.js result: face: 2 body: 1 hand: 1 gesture: 2 object: 0 person: 2 {"score":0.91} {} {"score":0.47,"keypoints":17} -2021-10-23 09:38:36 DATA:  test-node-wasm.js result: performance: load: 2764 total: 6560 -2021-10-23 09:38:36 STATE: test-node-wasm.js passed: detect: samples/in/ai-body.jpg default -2021-10-23 09:38:36 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 1 gesture: 1 object: 0 person: 1 {"score":0.93} {} {"score":0.92,"keypoints":17} -2021-10-23 09:38:36 DATA:  test-node-wasm.js result: performance: load: 2764 total: 6560 -2021-10-23 09:38:36 STATE: test-node-wasm.js passed: detect: samples/in/ai-body.jpg default -2021-10-23 09:38:36 DATA:  test-node-wasm.js result: face: 2 body: 1 hand: 1 gesture: 1 object: 0 person: 2 {"score":0.93} {} {"score":0.92,"keypoints":17} -2021-10-23 09:38:36 DATA:  test-node-wasm.js result: performance: load: 2764 total: 6560 -2021-10-23 09:38:36 STATE: test-node-wasm.js event: detect -2021-10-23 09:38:36 STATE: test-node-wasm.js passed: detect: samples/in/ai-upper.jpg default -2021-10-23 09:38:36 DATA:  test-node-wasm.js result: face: 5 body: 1 hand: 0 gesture: 1 object: 0 person: 5 {"score":0.96} {} {"score":0.75,"keypoints":16} -2021-10-23 09:38:36 DATA:  test-node-wasm.js result: performance: load: 5445 total: 3797 -2021-10-23 09:38:36 STATE: test-node-wasm.js event: detect -2021-10-23 09:38:36 STATE: test-node-wasm.js event: detect -2021-10-23 09:38:36 STATE: test-node-wasm.js passed: detect: samples/in/ai-face.jpg default -2021-10-23 09:38:36 DATA:  test-node-wasm.js result: face: 3 body: 1 hand: 1 gesture: 2 object: 0 person: 3 {"score":0.96} {} {"score":0.47,"keypoints":17} -2021-10-23 09:38:36 DATA:  test-node-wasm.js result: performance: load: 5445 total: 3798 -2021-10-23 09:38:36 STATE: test-node-wasm.js passed: detect: samples/in/ai-body.jpg default -2021-10-23 09:38:36 DATA:  test-node-wasm.js result: face: 4 body: 1 hand: 1 gesture: 1 object: 0 person: 4 {"score":0.96} {} {"score":0.92,"keypoints":17} -2021-10-23 09:38:36 DATA:  test-node-wasm.js result: performance: load: 5445 total: 3798 -2021-10-23 09:38:36 STATE: test-node-wasm.js event: image -2021-10-23 09:38:36 STATE: test-node-wasm.js event: detect -2021-10-23 09:38:36 STATE: test-node-wasm.js passed: monkey patch -2021-10-23 09:38:37 STATE: test-node-wasm.js passed: segmentation [65536] -2021-10-23 09:38:37 STATE: test-node-wasm.js passeed: equal usage -2021-10-23 09:38:37 INFO:  test-node-wasm.js events: {"image":15,"detect":15,"warmup":2} -2021-10-23 09:38:37 INFO:  test-node-wasm.js tensors 1926 -2021-10-23 09:38:37 INFO:  test-node-wasm.js test complete: 41946 ms -2021-10-23 09:38:37 INFO:  -2021-10-23 09:38:37 INFO:  failed [{"test":"test-node-wasm.js","data":["error",["failed: warmup face result mismatch",1,1,1,5]]},{"test":"test-node-wasm.js","data":["error",["failed: object result mismatch",0]]},{"test":"test-node-wasm.js","data":["error",["failed: sensitive face emotion result mismatch",3]]}] -2021-10-23 09:38:37 INFO:  status: {"test-node.js":{"passed":70,"failed":0},"test-node-gpu.js":{"passed":70,"failed":0},"test-node-wasm.js":{"passed":68,"failed":3}} +2021-10-25 13:27:33 INFO:  @vladmandic/human version 2.4.1 +2021-10-25 13:27:33 INFO:  User: vlado Platform: linux Arch: x64 Node: v16.10.0 +2021-10-25 13:27:33 INFO:  tests: ["test-node.js","test-node-gpu.js","test-node-wasm.js"] +2021-10-25 13:27:33 INFO:  demos: ["../demo/nodejs/node.js","../demo/nodejs/node-canvas.js","../demo/nodejs/node-env.js","../demo/nodejs/node-event.js","../demo/nodejs/node-multiprocess.js"] +2021-10-25 13:27:33 INFO:  +2021-10-25 13:27:33 INFO:  test-node.js start +2021-10-25 13:27:33 STATE: test-node.js passed: configuration default validation [] +2021-10-25 13:27:33 STATE: test-node.js passed: configuration invalid validation [{"reason":"unknown property","where":"config.invalid = true"}] +2021-10-25 13:27:33 STATE: test-node.js passed: models loaded 21 10 [{"name":"age","loaded":false},{"name":"agegenderrace","loaded":false},{"name":"blazeposedetect","loaded":false},{"name":"blazepose","loaded":false},{"name":"centernet","loaded":true},{"name":"efficientpose","loaded":false},{"name":"embedding","loaded":false},{"name":"emotion","loaded":true},{"name":"facedetect","loaded":true},{"name":"faceiris","loaded":true},{"name":"facemesh","loaded":true},{"name":"faceres","loaded":true},{"name":"gender","loaded":false},{"name":"handpose","loaded":false},{"name":"handskeleton","loaded":true},{"name":"handtrack","loaded":true},{"name":"movenet","loaded":true},{"name":"nanodet","loaded":false},{"name":"posenet","loaded":false},{"name":"segmentation","loaded":true},{"name":"antispoof","loaded":false}] +2021-10-25 13:27:33 STATE: test-node.js passed: create human +2021-10-25 13:27:33 INFO:  test-node.js human version: 2.4.1 +2021-10-25 13:27:33 INFO:  test-node.js platform: linux x64 agent: NodeJS v16.10.0 +2021-10-25 13:27:33 INFO:  test-node.js tfjs version: 3.10.0 +2021-10-25 13:27:33 STATE: test-node.js passed: set backend: tensorflow +2021-10-25 13:27:33 STATE: test-node.js tensors 1920 +2021-10-25 13:27:33 STATE: test-node.js passed: load models +2021-10-25 13:27:33 STATE: test-node.js result: defined models: 21 loaded models: 10 +2021-10-25 13:27:33 STATE: test-node.js passed: warmup: none default +2021-10-25 13:27:33 STATE: test-node.js passed: warmup none result match +2021-10-25 13:27:33 STATE: test-node.js event: image +2021-10-25 13:27:34 STATE: test-node.js event: detect +2021-10-25 13:27:34 STATE: test-node.js event: warmup +2021-10-25 13:27:34 STATE: test-node.js passed: warmup: face default +2021-10-25 13:27:34 DATA:  test-node.js result: face: 1 body: 1 hand: 1 gesture: 6 object: 1 person: 1 {"score":1,"age":23.6,"gender":"female"} {"score":0.82,"class":"person"} {"score":0.42,"keypoints":4} +2021-10-25 13:27:34 DATA:  test-node.js result: performance: load: 263 total: 711 +2021-10-25 13:27:34 STATE: test-node.js passed: warmup face result match +2021-10-25 13:27:34 STATE: test-node.js event: image +2021-10-25 13:27:35 STATE: test-node.js event: detect +2021-10-25 13:27:35 STATE: test-node.js event: warmup +2021-10-25 13:27:35 STATE: test-node.js passed: warmup: body default +2021-10-25 13:27:35 DATA:  test-node.js result: face: 1 body: 1 hand: 1 gesture: 5 object: 1 person: 1 {"score":1,"age":29.5,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} +2021-10-25 13:27:35 DATA:  test-node.js result: performance: load: 263 total: 592 +2021-10-25 13:27:35 STATE: test-node.js passed: warmup body result match +2021-10-25 13:27:35 INFO:  test-node.js test default +2021-10-25 13:27:35 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} +2021-10-25 13:27:35 STATE: test-node.js event: image +2021-10-25 13:27:36 STATE: test-node.js event: detect +2021-10-25 13:27:36 STATE: test-node.js passed: detect: samples/in/ai-body.jpg default +2021-10-25 13:27:36 DATA:  test-node.js result: face: 1 body: 1 hand: 1 gesture: 5 object: 1 person: 1 {"score":1,"age":28.5,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} +2021-10-25 13:27:36 DATA:  test-node.js result: performance: load: 263 total: 561 +2021-10-25 13:27:36 STATE: test-node.js passed: default result face match +2021-10-25 13:27:36 INFO:  test-node.js test sync +2021-10-25 13:27:36 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} +2021-10-25 13:27:36 STATE: test-node.js event: image +2021-10-25 13:27:37 STATE: test-node.js event: detect +2021-10-25 13:27:37 STATE: test-node.js passed: detect: samples/in/ai-body.jpg default +2021-10-25 13:27:37 DATA:  test-node.js result: face: 1 body: 1 hand: 1 gesture: 5 object: 1 person: 1 {"score":1,"age":28.5,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} +2021-10-25 13:27:37 DATA:  test-node.js result: performance: load: 263 total: 542 +2021-10-25 13:27:37 STATE: test-node.js passed: default sync +2021-10-25 13:27:37 STATE: test-node.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34696120} +2021-10-25 13:27:37 STATE: test-node.js passed: image input null [1,256,256,3] +2021-10-25 13:27:37 STATE: test-node.js passed: invalid input {"error":"could not convert input to tensor"} +2021-10-25 13:27:37 INFO:  test-node.js test face similarity +2021-10-25 13:27:37 STATE: test-node.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34696120} +2021-10-25 13:27:37 STATE: test-node.js event: image +2021-10-25 13:27:38 STATE: test-node.js event: detect +2021-10-25 13:27:38 STATE: test-node.js passed: detect: samples/in/ai-face.jpg default +2021-10-25 13:27:38 DATA:  test-node.js result: face: 1 body: 1 hand: 1 gesture: 5 object: 1 person: 1 {"score":1,"age":23.6,"gender":"female"} {"score":0.82,"class":"person"} {"score":0.47,"keypoints":3} +2021-10-25 13:27:38 DATA:  test-node.js result: performance: load: 263 total: 526 +2021-10-25 13:27:38 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} +2021-10-25 13:27:38 STATE: test-node.js event: image +2021-10-25 13:27:39 STATE: test-node.js event: detect +2021-10-25 13:27:39 STATE: test-node.js passed: detect: samples/in/ai-body.jpg default +2021-10-25 13:27:39 DATA:  test-node.js result: face: 1 body: 1 hand: 1 gesture: 5 object: 1 person: 1 {"score":1,"age":28.5,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} +2021-10-25 13:27:39 DATA:  test-node.js result: performance: load: 263 total: 526 +2021-10-25 13:27:39 STATE: test-node.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151289040} +2021-10-25 13:27:39 STATE: test-node.js event: image +2021-10-25 13:27:39 STATE: test-node.js event: detect +2021-10-25 13:27:39 STATE: test-node.js passed: detect: samples/in/ai-upper.jpg default +2021-10-25 13:27:39 DATA:  test-node.js result: face: 1 body: 1 hand: 0 gesture: 3 object: 1 person: 1 {"score":1,"age":29.5,"gender":"female"} {"score":0.71,"class":"person"} {"score":0.75,"keypoints":7} +2021-10-25 13:27:39 DATA:  test-node.js result: performance: load: 263 total: 451 +2021-10-25 13:27:39 STATE: test-node.js passed: face descriptor +2021-10-25 13:27:39 STATE: test-node.js passed: face similarity {"similarity":[1,0.5617466241063369,0.5402186421087815],"descriptors":[1024,1024,1024]} +2021-10-25 13:27:39 INFO:  test-node.js test face matching +2021-10-25 13:27:39 STATE: test-node.js passed: face database 57 +2021-10-25 13:27:39 STATE: test-node.js passed: face match {"first":{"index":4,"similarity":0.7931148154915015}} {"second":{"index":4,"similarity":0.5655402518331422}} {"third":{"index":4,"similarity":0.5621635689797688}} +2021-10-25 13:27:39 INFO:  test-node.js test object +2021-10-25 13:27:40 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} +2021-10-25 13:27:40 STATE: test-node.js event: image +2021-10-25 13:27:41 STATE: test-node.js event: detect +2021-10-25 13:27:41 STATE: test-node.js passed: detect: samples/in/ai-body.jpg default +2021-10-25 13:27:41 DATA:  test-node.js result: face: 1 body: 1 hand: 1 gesture: 5 object: 1 person: 1 {"score":1,"age":28.5,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} +2021-10-25 13:27:41 DATA:  test-node.js result: performance: load: 263 total: 565 +2021-10-25 13:27:41 STATE: test-node.js passed: object result match +2021-10-25 13:27:41 INFO:  test-node.js test sensitive +2021-10-25 13:27:41 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} +2021-10-25 13:27:41 STATE: test-node.js event: image +2021-10-25 13:27:42 STATE: test-node.js event: detect +2021-10-25 13:27:42 STATE: test-node.js passed: detect: samples/in/ai-body.jpg default +2021-10-25 13:27:42 DATA:  test-node.js result: face: 1 body: 1 hand: 2 gesture: 7 object: 1 person: 1 {"score":1,"age":28.5,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} +2021-10-25 13:27:42 DATA:  test-node.js result: performance: load: 263 total: 688 +2021-10-25 13:27:42 STATE: test-node.js passed: sensitive result match +2021-10-25 13:27:42 STATE: test-node.js passed: sensitive face result match +2021-10-25 13:27:42 STATE: test-node.js passed: sensitive face emotion result mismatch 4 +2021-10-25 13:27:42 STATE: test-node.js passed: sensitive body result match +2021-10-25 13:27:42 STATE: test-node.js passed: sensitive hand result match +2021-10-25 13:27:42 INFO:  test-node.js test detectors +2021-10-25 13:27:42 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} +2021-10-25 13:27:42 STATE: test-node.js event: image +2021-10-25 13:27:43 STATE: test-node.js event: detect +2021-10-25 13:27:43 STATE: test-node.js passed: detect: samples/in/ai-body.jpg default +2021-10-25 13:27:43 DATA:  test-node.js result: face: 1 body: 1 hand: 1 gesture: 1 object: 1 person: 1 {"score":0.93} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} +2021-10-25 13:27:43 DATA:  test-node.js result: performance: load: 263 total: 354 +2021-10-25 13:27:43 STATE: test-node.js passed: detector result face match +2021-10-25 13:27:43 STATE: test-node.js passed: detector result hand match +2021-10-25 13:27:43 STATE: test-node.js event: image +2021-10-25 13:27:43 STATE: test-node.js event: detect +2021-10-25 13:27:43 STATE: test-node.js passed: detect: random default +2021-10-25 13:27:43 DATA:  test-node.js result: face: 0 body: 1 hand: 0 gesture: 1 object: 0 person: 0 {} {} {"score":0.08,"keypoints":15} +2021-10-25 13:27:43 DATA:  test-node.js result: performance: load: 263 total: 336 +2021-10-25 13:27:43 INFO:  test-node.js test: first instance +2021-10-25 13:27:44 STATE: test-node.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151289040} +2021-10-25 13:27:44 STATE: test-node.js passed: detect: samples/in/ai-upper.jpg default +2021-10-25 13:27:44 DATA:  test-node.js result: face: 1 body: 1 hand: 0 gesture: 1 object: 1 person: 1 {"score":0.96} {"score":0.71,"class":"person"} {"score":0.75,"keypoints":16} +2021-10-25 13:27:44 DATA:  test-node.js result: performance: load: 2 total: 345 +2021-10-25 13:27:44 INFO:  test-node.js test: second instance +2021-10-25 13:27:44 STATE: test-node.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151289040} +2021-10-25 13:27:44 STATE: test-node.js passed: detect: samples/in/ai-upper.jpg default +2021-10-25 13:27:44 DATA:  test-node.js result: face: 1 body: 1 hand: 0 gesture: 1 object: 1 person: 1 {"score":0.96} {"score":0.71,"class":"person"} {"score":0.75,"keypoints":16} +2021-10-25 13:27:44 DATA:  test-node.js result: performance: load: 2 total: 344 +2021-10-25 13:27:44 INFO:  test-node.js test: concurrent +2021-10-25 13:27:44 STATE: test-node.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34696120} +2021-10-25 13:27:45 STATE: test-node.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34696120} +2021-10-25 13:27:45 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} +2021-10-25 13:27:46 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} +2021-10-25 13:27:46 STATE: test-node.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151289040} +2021-10-25 13:27:46 STATE: test-node.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151289040} +2021-10-25 13:27:46 STATE: test-node.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34696120} +2021-10-25 13:27:47 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} +2021-10-25 13:27:47 STATE: test-node.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151289040} +2021-10-25 13:27:47 STATE: test-node.js event: image +2021-10-25 13:27:47 STATE: test-node.js event: image +2021-10-25 13:27:47 STATE: test-node.js event: image +2021-10-25 13:27:50 STATE: test-node.js passed: detect: samples/in/ai-upper.jpg default +2021-10-25 13:27:50 DATA:  test-node.js result: face: 1 body: 1 hand: 0 gesture: 1 object: 1 person: 1 {"score":0.96} {"score":0.71,"class":"person"} {"score":0.75,"keypoints":16} +2021-10-25 13:27:50 DATA:  test-node.js result: performance: load: 889 total: 3990 +2021-10-25 13:27:50 STATE: test-node.js passed: detect: samples/in/ai-upper.jpg default +2021-10-25 13:27:50 DATA:  test-node.js result: face: 2 body: 1 hand: 0 gesture: 1 object: 1 person: 2 {"score":0.96} {"score":0.71,"class":"person"} {"score":0.75,"keypoints":16} +2021-10-25 13:27:50 DATA:  test-node.js result: performance: load: 889 total: 3990 +2021-10-25 13:27:50 STATE: test-node.js passed: detect: samples/in/ai-face.jpg default +2021-10-25 13:27:50 DATA:  test-node.js result: face: 1 body: 1 hand: 1 gesture: 2 object: 1 person: 1 {"score":0.91} {"score":0.82,"class":"person"} {"score":0.47,"keypoints":17} +2021-10-25 13:27:50 DATA:  test-node.js result: performance: load: 889 total: 3993 +2021-10-25 13:27:50 STATE: test-node.js passed: detect: samples/in/ai-face.jpg default +2021-10-25 13:27:50 DATA:  test-node.js result: face: 2 body: 1 hand: 1 gesture: 2 object: 1 person: 2 {"score":0.91} {"score":0.82,"class":"person"} {"score":0.47,"keypoints":17} +2021-10-25 13:27:50 DATA:  test-node.js result: performance: load: 889 total: 3993 +2021-10-25 13:27:50 STATE: test-node.js passed: detect: samples/in/ai-body.jpg default +2021-10-25 13:27:50 DATA:  test-node.js result: face: 1 body: 1 hand: 1 gesture: 1 object: 1 person: 1 {"score":0.93} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} +2021-10-25 13:27:50 DATA:  test-node.js result: performance: load: 889 total: 3993 +2021-10-25 13:27:50 STATE: test-node.js passed: detect: samples/in/ai-body.jpg default +2021-10-25 13:27:50 DATA:  test-node.js result: face: 2 body: 1 hand: 1 gesture: 1 object: 1 person: 2 {"score":0.93} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} +2021-10-25 13:27:50 DATA:  test-node.js result: performance: load: 889 total: 3993 +2021-10-25 13:27:50 STATE: test-node.js event: detect +2021-10-25 13:27:50 STATE: test-node.js passed: detect: samples/in/ai-upper.jpg default +2021-10-25 13:27:50 DATA:  test-node.js result: face: 5 body: 1 hand: 0 gesture: 1 object: 1 person: 5 {"score":0.96} {"score":0.71,"class":"person"} {"score":0.75,"keypoints":16} +2021-10-25 13:27:50 DATA:  test-node.js result: performance: load: 1690 total: 3103 +2021-10-25 13:27:50 STATE: test-node.js event: detect +2021-10-25 13:27:50 STATE: test-node.js event: detect +2021-10-25 13:27:50 STATE: test-node.js passed: detect: samples/in/ai-face.jpg default +2021-10-25 13:27:50 DATA:  test-node.js result: face: 3 body: 1 hand: 1 gesture: 2 object: 1 person: 3 {"score":0.96} {"score":0.82,"class":"person"} {"score":0.47,"keypoints":17} +2021-10-25 13:27:50 DATA:  test-node.js result: performance: load: 1690 total: 3104 +2021-10-25 13:27:50 STATE: test-node.js passed: detect: samples/in/ai-body.jpg default +2021-10-25 13:27:50 DATA:  test-node.js result: face: 4 body: 1 hand: 1 gesture: 1 object: 1 person: 4 {"score":0.96} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} +2021-10-25 13:27:50 DATA:  test-node.js result: performance: load: 1690 total: 3104 +2021-10-25 13:27:50 STATE: test-node.js event: image +2021-10-25 13:27:50 STATE: test-node.js event: detect +2021-10-25 13:27:50 STATE: test-node.js passed: monkey patch +2021-10-25 13:27:51 STATE: test-node.js passed: segmentation [65536] +2021-10-25 13:27:51 STATE: test-node.js passeed: equal usage +2021-10-25 13:27:51 INFO:  test-node.js events: {"image":15,"detect":15,"warmup":2} +2021-10-25 13:27:51 INFO:  test-node.js tensors 1924 +2021-10-25 13:27:51 INFO:  test-node.js test complete: 17451 ms +2021-10-25 13:27:51 INFO:  +2021-10-25 13:27:51 INFO:  test-node-gpu.js start +2021-10-25 13:27:51 STATE: test-node-gpu.js passed: configuration default validation [] +2021-10-25 13:27:51 STATE: test-node-gpu.js passed: configuration invalid validation [{"reason":"unknown property","where":"config.invalid = true"}] +2021-10-25 13:27:51 STATE: test-node-gpu.js passed: models loaded 21 10 [{"name":"age","loaded":false},{"name":"agegenderrace","loaded":false},{"name":"blazeposedetect","loaded":false},{"name":"blazepose","loaded":false},{"name":"centernet","loaded":true},{"name":"efficientpose","loaded":false},{"name":"embedding","loaded":false},{"name":"emotion","loaded":true},{"name":"facedetect","loaded":true},{"name":"faceiris","loaded":true},{"name":"facemesh","loaded":true},{"name":"faceres","loaded":true},{"name":"gender","loaded":false},{"name":"handpose","loaded":false},{"name":"handskeleton","loaded":true},{"name":"handtrack","loaded":true},{"name":"movenet","loaded":true},{"name":"nanodet","loaded":false},{"name":"posenet","loaded":false},{"name":"segmentation","loaded":true},{"name":"antispoof","loaded":false}] +2021-10-25 13:27:51 STATE: test-node-gpu.js passed: create human +2021-10-25 13:27:51 INFO:  test-node-gpu.js human version: 2.4.1 +2021-10-25 13:27:51 INFO:  test-node-gpu.js platform: linux x64 agent: NodeJS v16.10.0 +2021-10-25 13:27:51 INFO:  test-node-gpu.js tfjs version: 3.10.0 +2021-10-25 13:27:51 STATE: test-node-gpu.js passed: set backend: tensorflow +2021-10-25 13:27:51 STATE: test-node-gpu.js tensors 1920 +2021-10-25 13:27:51 STATE: test-node-gpu.js passed: load models +2021-10-25 13:27:51 STATE: test-node-gpu.js result: defined models: 21 loaded models: 10 +2021-10-25 13:27:51 STATE: test-node-gpu.js passed: warmup: none default +2021-10-25 13:27:51 STATE: test-node-gpu.js passed: warmup none result match +2021-10-25 13:27:51 STATE: test-node-gpu.js event: image +2021-10-25 13:27:52 STATE: test-node-gpu.js event: detect +2021-10-25 13:27:52 STATE: test-node-gpu.js event: warmup +2021-10-25 13:27:52 STATE: test-node-gpu.js passed: warmup: face default +2021-10-25 13:27:52 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 1 gesture: 6 object: 1 person: 1 {"score":1,"age":23.6,"gender":"female"} {"score":0.82,"class":"person"} {"score":0.42,"keypoints":4} +2021-10-25 13:27:52 DATA:  test-node-gpu.js result: performance: load: 264 total: 714 +2021-10-25 13:27:52 STATE: test-node-gpu.js passed: warmup face result match +2021-10-25 13:27:52 STATE: test-node-gpu.js event: image +2021-10-25 13:27:53 STATE: test-node-gpu.js event: detect +2021-10-25 13:27:53 STATE: test-node-gpu.js event: warmup +2021-10-25 13:27:53 STATE: test-node-gpu.js passed: warmup: body default +2021-10-25 13:27:53 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 1 gesture: 5 object: 1 person: 1 {"score":1,"age":29.5,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} +2021-10-25 13:27:53 DATA:  test-node-gpu.js result: performance: load: 264 total: 596 +2021-10-25 13:27:53 STATE: test-node-gpu.js passed: warmup body result match +2021-10-25 13:27:53 INFO:  test-node-gpu.js test default +2021-10-25 13:27:53 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} +2021-10-25 13:27:53 STATE: test-node-gpu.js event: image +2021-10-25 13:27:54 STATE: test-node-gpu.js event: detect +2021-10-25 13:27:54 STATE: test-node-gpu.js passed: detect: samples/in/ai-body.jpg default +2021-10-25 13:27:54 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 1 gesture: 5 object: 1 person: 1 {"score":1,"age":28.5,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} +2021-10-25 13:27:54 DATA:  test-node-gpu.js result: performance: load: 264 total: 558 +2021-10-25 13:27:54 STATE: test-node-gpu.js passed: default result face match +2021-10-25 13:27:54 INFO:  test-node-gpu.js test sync +2021-10-25 13:27:54 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} +2021-10-25 13:27:54 STATE: test-node-gpu.js event: image +2021-10-25 13:27:55 STATE: test-node-gpu.js event: detect +2021-10-25 13:27:55 STATE: test-node-gpu.js passed: detect: samples/in/ai-body.jpg default +2021-10-25 13:27:55 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 1 gesture: 5 object: 1 person: 1 {"score":1,"age":28.5,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} +2021-10-25 13:27:55 DATA:  test-node-gpu.js result: performance: load: 264 total: 546 +2021-10-25 13:27:55 STATE: test-node-gpu.js passed: default sync +2021-10-25 13:27:55 STATE: test-node-gpu.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34696120} +2021-10-25 13:27:55 STATE: test-node-gpu.js passed: image input null [1,256,256,3] +2021-10-25 13:27:55 STATE: test-node-gpu.js passed: invalid input {"error":"could not convert input to tensor"} +2021-10-25 13:27:55 INFO:  test-node-gpu.js test face similarity +2021-10-25 13:27:55 STATE: test-node-gpu.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34696120} +2021-10-25 13:27:55 STATE: test-node-gpu.js event: image +2021-10-25 13:27:55 STATE: test-node-gpu.js event: detect +2021-10-25 13:27:55 STATE: test-node-gpu.js passed: detect: samples/in/ai-face.jpg default +2021-10-25 13:27:55 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 1 gesture: 5 object: 1 person: 1 {"score":1,"age":23.6,"gender":"female"} {"score":0.82,"class":"person"} {"score":0.47,"keypoints":3} +2021-10-25 13:27:55 DATA:  test-node-gpu.js result: performance: load: 264 total: 517 +2021-10-25 13:27:56 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} +2021-10-25 13:27:56 STATE: test-node-gpu.js event: image +2021-10-25 13:27:57 STATE: test-node-gpu.js event: detect +2021-10-25 13:27:57 STATE: test-node-gpu.js passed: detect: samples/in/ai-body.jpg default +2021-10-25 13:27:57 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 1 gesture: 5 object: 1 person: 1 {"score":1,"age":28.5,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} +2021-10-25 13:27:57 DATA:  test-node-gpu.js result: performance: load: 264 total: 530 +2021-10-25 13:27:57 STATE: test-node-gpu.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151289040} +2021-10-25 13:27:57 STATE: test-node-gpu.js event: image +2021-10-25 13:27:57 STATE: test-node-gpu.js event: detect +2021-10-25 13:27:57 STATE: test-node-gpu.js passed: detect: samples/in/ai-upper.jpg default +2021-10-25 13:27:57 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 0 gesture: 3 object: 1 person: 1 {"score":1,"age":29.5,"gender":"female"} {"score":0.71,"class":"person"} {"score":0.75,"keypoints":7} +2021-10-25 13:27:57 DATA:  test-node-gpu.js result: performance: load: 264 total: 457 +2021-10-25 13:27:57 STATE: test-node-gpu.js passed: face descriptor +2021-10-25 13:27:57 STATE: test-node-gpu.js passed: face similarity {"similarity":[1,0.5617466241063369,0.5402186421087815],"descriptors":[1024,1024,1024]} +2021-10-25 13:27:57 INFO:  test-node-gpu.js test face matching +2021-10-25 13:27:57 STATE: test-node-gpu.js passed: face database 57 +2021-10-25 13:27:57 STATE: test-node-gpu.js passed: face match {"first":{"index":4,"similarity":0.7931148154915015}} {"second":{"index":4,"similarity":0.5655402518331422}} {"third":{"index":4,"similarity":0.5621635689797688}} +2021-10-25 13:27:57 INFO:  test-node-gpu.js test object +2021-10-25 13:27:58 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} +2021-10-25 13:27:58 STATE: test-node-gpu.js event: image +2021-10-25 13:27:58 STATE: test-node-gpu.js event: detect +2021-10-25 13:27:58 STATE: test-node-gpu.js passed: detect: samples/in/ai-body.jpg default +2021-10-25 13:27:58 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 1 gesture: 5 object: 1 person: 1 {"score":1,"age":28.5,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} +2021-10-25 13:27:58 DATA:  test-node-gpu.js result: performance: load: 264 total: 524 +2021-10-25 13:27:58 STATE: test-node-gpu.js passed: object result match +2021-10-25 13:27:58 INFO:  test-node-gpu.js test sensitive +2021-10-25 13:27:59 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} +2021-10-25 13:27:59 STATE: test-node-gpu.js event: image +2021-10-25 13:28:00 STATE: test-node-gpu.js event: detect +2021-10-25 13:28:00 STATE: test-node-gpu.js passed: detect: samples/in/ai-body.jpg default +2021-10-25 13:28:00 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 2 gesture: 7 object: 1 person: 1 {"score":1,"age":28.5,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} +2021-10-25 13:28:00 DATA:  test-node-gpu.js result: performance: load: 264 total: 592 +2021-10-25 13:28:00 STATE: test-node-gpu.js passed: sensitive result match +2021-10-25 13:28:00 STATE: test-node-gpu.js passed: sensitive face result match +2021-10-25 13:28:00 STATE: test-node-gpu.js passed: sensitive face emotion result mismatch 4 +2021-10-25 13:28:00 STATE: test-node-gpu.js passed: sensitive body result match +2021-10-25 13:28:00 STATE: test-node-gpu.js passed: sensitive hand result match +2021-10-25 13:28:00 INFO:  test-node-gpu.js test detectors +2021-10-25 13:28:00 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} +2021-10-25 13:28:00 STATE: test-node-gpu.js event: image +2021-10-25 13:28:00 STATE: test-node-gpu.js event: detect +2021-10-25 13:28:00 STATE: test-node-gpu.js passed: detect: samples/in/ai-body.jpg default +2021-10-25 13:28:00 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 1 gesture: 1 object: 1 person: 1 {"score":0.93} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} +2021-10-25 13:28:00 DATA:  test-node-gpu.js result: performance: load: 264 total: 348 +2021-10-25 13:28:00 STATE: test-node-gpu.js passed: detector result face match +2021-10-25 13:28:00 STATE: test-node-gpu.js passed: detector result hand match +2021-10-25 13:28:01 STATE: test-node-gpu.js event: image +2021-10-25 13:28:01 STATE: test-node-gpu.js event: detect +2021-10-25 13:28:01 STATE: test-node-gpu.js passed: detect: random default +2021-10-25 13:28:01 DATA:  test-node-gpu.js result: face: 0 body: 1 hand: 0 gesture: 1 object: 0 person: 0 {} {} {"score":0.07,"keypoints":15} +2021-10-25 13:28:01 DATA:  test-node-gpu.js result: performance: load: 264 total: 335 +2021-10-25 13:28:01 INFO:  test-node-gpu.js test: first instance +2021-10-25 13:28:01 STATE: test-node-gpu.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151289040} +2021-10-25 13:28:01 STATE: test-node-gpu.js passed: detect: samples/in/ai-upper.jpg default +2021-10-25 13:28:01 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 0 gesture: 1 object: 1 person: 1 {"score":0.96} {"score":0.71,"class":"person"} {"score":0.75,"keypoints":16} +2021-10-25 13:28:01 DATA:  test-node-gpu.js result: performance: load: 2 total: 347 +2021-10-25 13:28:01 INFO:  test-node-gpu.js test: second instance +2021-10-25 13:28:02 STATE: test-node-gpu.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151289040} +2021-10-25 13:28:02 STATE: test-node-gpu.js passed: detect: samples/in/ai-upper.jpg default +2021-10-25 13:28:02 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 0 gesture: 1 object: 1 person: 1 {"score":0.96} {"score":0.71,"class":"person"} {"score":0.75,"keypoints":16} +2021-10-25 13:28:02 DATA:  test-node-gpu.js result: performance: load: 1 total: 348 +2021-10-25 13:28:02 INFO:  test-node-gpu.js test: concurrent +2021-10-25 13:28:02 STATE: test-node-gpu.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34696120} +2021-10-25 13:28:02 STATE: test-node-gpu.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34696120} +2021-10-25 13:28:03 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} +2021-10-25 13:28:03 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} +2021-10-25 13:28:03 STATE: test-node-gpu.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151289040} +2021-10-25 13:28:04 STATE: test-node-gpu.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151289040} +2021-10-25 13:28:04 STATE: test-node-gpu.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34696120} +2021-10-25 13:28:04 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} +2021-10-25 13:28:05 STATE: test-node-gpu.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151289040} +2021-10-25 13:28:05 STATE: test-node-gpu.js event: image +2021-10-25 13:28:05 STATE: test-node-gpu.js event: image +2021-10-25 13:28:05 STATE: test-node-gpu.js event: image +2021-10-25 13:28:08 STATE: test-node-gpu.js passed: detect: samples/in/ai-upper.jpg default +2021-10-25 13:28:08 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 0 gesture: 1 object: 1 person: 1 {"score":0.96} {"score":0.71,"class":"person"} {"score":0.75,"keypoints":16} +2021-10-25 13:28:08 DATA:  test-node-gpu.js result: performance: load: 847 total: 4007 +2021-10-25 13:28:08 STATE: test-node-gpu.js passed: detect: samples/in/ai-upper.jpg default +2021-10-25 13:28:08 DATA:  test-node-gpu.js result: face: 2 body: 1 hand: 0 gesture: 1 object: 1 person: 2 {"score":0.96} {"score":0.71,"class":"person"} {"score":0.75,"keypoints":16} +2021-10-25 13:28:08 DATA:  test-node-gpu.js result: performance: load: 847 total: 4007 +2021-10-25 13:28:08 STATE: test-node-gpu.js passed: detect: samples/in/ai-face.jpg default +2021-10-25 13:28:08 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 1 gesture: 2 object: 1 person: 1 {"score":0.91} {"score":0.82,"class":"person"} {"score":0.47,"keypoints":17} +2021-10-25 13:28:08 DATA:  test-node-gpu.js result: performance: load: 847 total: 4010 +2021-10-25 13:28:08 STATE: test-node-gpu.js passed: detect: samples/in/ai-face.jpg default +2021-10-25 13:28:08 DATA:  test-node-gpu.js result: face: 2 body: 1 hand: 1 gesture: 2 object: 1 person: 2 {"score":0.91} {"score":0.82,"class":"person"} {"score":0.47,"keypoints":17} +2021-10-25 13:28:08 DATA:  test-node-gpu.js result: performance: load: 847 total: 4010 +2021-10-25 13:28:08 STATE: test-node-gpu.js passed: detect: samples/in/ai-body.jpg default +2021-10-25 13:28:08 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 1 gesture: 1 object: 1 person: 1 {"score":0.93} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} +2021-10-25 13:28:08 DATA:  test-node-gpu.js result: performance: load: 847 total: 4010 +2021-10-25 13:28:08 STATE: test-node-gpu.js passed: detect: samples/in/ai-body.jpg default +2021-10-25 13:28:08 DATA:  test-node-gpu.js result: face: 2 body: 1 hand: 1 gesture: 1 object: 1 person: 2 {"score":0.93} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} +2021-10-25 13:28:08 DATA:  test-node-gpu.js result: performance: load: 847 total: 4010 +2021-10-25 13:28:08 STATE: test-node-gpu.js event: detect +2021-10-25 13:28:08 STATE: test-node-gpu.js passed: detect: samples/in/ai-upper.jpg default +2021-10-25 13:28:08 DATA:  test-node-gpu.js result: face: 5 body: 1 hand: 0 gesture: 1 object: 1 person: 5 {"score":0.96} {"score":0.71,"class":"person"} {"score":0.75,"keypoints":16} +2021-10-25 13:28:08 DATA:  test-node-gpu.js result: performance: load: 1643 total: 3163 +2021-10-25 13:28:08 STATE: test-node-gpu.js event: detect +2021-10-25 13:28:08 STATE: test-node-gpu.js event: detect +2021-10-25 13:28:08 STATE: test-node-gpu.js passed: detect: samples/in/ai-face.jpg default +2021-10-25 13:28:08 DATA:  test-node-gpu.js result: face: 3 body: 1 hand: 1 gesture: 2 object: 1 person: 3 {"score":0.96} {"score":0.82,"class":"person"} {"score":0.47,"keypoints":17} +2021-10-25 13:28:08 DATA:  test-node-gpu.js result: performance: load: 1643 total: 3163 +2021-10-25 13:28:08 STATE: test-node-gpu.js passed: detect: samples/in/ai-body.jpg default +2021-10-25 13:28:08 DATA:  test-node-gpu.js result: face: 4 body: 1 hand: 1 gesture: 1 object: 1 person: 4 {"score":0.96} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} +2021-10-25 13:28:08 DATA:  test-node-gpu.js result: performance: load: 1643 total: 3163 +2021-10-25 13:28:08 STATE: test-node-gpu.js event: image +2021-10-25 13:28:08 STATE: test-node-gpu.js event: detect +2021-10-25 13:28:08 STATE: test-node-gpu.js passed: monkey patch +2021-10-25 13:28:08 STATE: test-node-gpu.js passed: segmentation [65536] +2021-10-25 13:28:08 STATE: test-node-gpu.js passeed: equal usage +2021-10-25 13:28:08 INFO:  test-node-gpu.js events: {"image":15,"detect":15,"warmup":2} +2021-10-25 13:28:08 INFO:  test-node-gpu.js tensors 1924 +2021-10-25 13:28:08 INFO:  test-node-gpu.js test complete: 17184 ms +2021-10-25 13:28:08 INFO:  +2021-10-25 13:28:08 INFO:  test-node-wasm.js start +2021-10-25 13:28:09 STATE: test-node-wasm.js passed: model server: https://vladmandic.github.io/human/models/ +2021-10-25 13:28:09 STATE: test-node-wasm.js passed: configuration default validation [] +2021-10-25 13:28:09 STATE: test-node-wasm.js passed: configuration invalid validation [{"reason":"unknown property","where":"config.invalid = true"}] +2021-10-25 13:28:12 STATE: test-node-wasm.js passed: models loaded 21 10 [{"name":"age","loaded":false},{"name":"agegenderrace","loaded":false},{"name":"blazeposedetect","loaded":false},{"name":"blazepose","loaded":false},{"name":"centernet","loaded":true},{"name":"efficientpose","loaded":false},{"name":"embedding","loaded":false},{"name":"emotion","loaded":true},{"name":"facedetect","loaded":true},{"name":"faceiris","loaded":true},{"name":"facemesh","loaded":true},{"name":"faceres","loaded":true},{"name":"gender","loaded":false},{"name":"handpose","loaded":false},{"name":"handskeleton","loaded":true},{"name":"handtrack","loaded":true},{"name":"movenet","loaded":true},{"name":"nanodet","loaded":false},{"name":"posenet","loaded":false},{"name":"segmentation","loaded":true},{"name":"antispoof","loaded":false}] +2021-10-25 13:28:12 STATE: test-node-wasm.js passed: create human +2021-10-25 13:28:12 INFO:  test-node-wasm.js human version: 2.4.1 +2021-10-25 13:28:12 INFO:  test-node-wasm.js platform: linux x64 agent: NodeJS v16.10.0 +2021-10-25 13:28:12 INFO:  test-node-wasm.js tfjs version: 3.10.0 +2021-10-25 13:28:12 STATE: test-node-wasm.js passed: set backend: wasm +2021-10-25 13:28:12 STATE: test-node-wasm.js tensors 1920 +2021-10-25 13:28:12 STATE: test-node-wasm.js passed: load models +2021-10-25 13:28:12 STATE: test-node-wasm.js result: defined models: 21 loaded models: 10 +2021-10-25 13:28:12 STATE: test-node-wasm.js passed: warmup: none default +2021-10-25 13:28:12 STATE: test-node-wasm.js passed: warmup none result match +2021-10-25 13:28:12 STATE: test-node-wasm.js event: image +2021-10-25 13:28:13 STATE: test-node-wasm.js event: detect +2021-10-25 13:28:13 STATE: test-node-wasm.js event: warmup +2021-10-25 13:28:13 STATE: test-node-wasm.js passed: warmup: face default +2021-10-25 13:28:13 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 1 gesture: 5 object: 0 person: 1 {"score":1,"age":23.6,"gender":"female"} {} {"score":0.47,"keypoints":3} +2021-10-25 13:28:13 DATA:  test-node-wasm.js result: performance: load: 3329 total: 832 +2021-10-25 13:28:13 ERROR: test-node-wasm.js failed: warmup face result mismatch 1 1 1 5 +2021-10-25 13:28:13 STATE: test-node-wasm.js event: image +2021-10-25 13:28:13 STATE: test-node-wasm.js event: detect +2021-10-25 13:28:13 STATE: test-node-wasm.js event: warmup +2021-10-25 13:28:13 STATE: test-node-wasm.js passed: warmup: body default +2021-10-25 13:28:13 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 1 gesture: 5 object: 0 person: 1 {"score":1,"age":28.5,"gender":"female"} {} {"score":0.92,"keypoints":17} +2021-10-25 13:28:13 DATA:  test-node-wasm.js result: performance: load: 3329 total: 561 +2021-10-25 13:28:13 STATE: test-node-wasm.js passed: warmup body result match +2021-10-25 13:28:13 INFO:  test-node-wasm.js test default +2021-10-25 13:28:15 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1038921856} +2021-10-25 13:28:15 STATE: test-node-wasm.js event: image +2021-10-25 13:28:15 STATE: test-node-wasm.js event: detect +2021-10-25 13:28:15 STATE: test-node-wasm.js passed: detect: samples/in/ai-body.jpg default +2021-10-25 13:28:15 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 1 gesture: 5 object: 0 person: 1 {"score":1,"age":28.5,"gender":"female"} {} {"score":0.92,"keypoints":17} +2021-10-25 13:28:15 DATA:  test-node-wasm.js result: performance: load: 3329 total: 601 +2021-10-25 13:28:15 STATE: test-node-wasm.js passed: default result face match +2021-10-25 13:28:15 INFO:  test-node-wasm.js test sync +2021-10-25 13:28:17 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1038921856} +2021-10-25 13:28:17 STATE: test-node-wasm.js event: image +2021-10-25 13:28:17 STATE: test-node-wasm.js event: detect +2021-10-25 13:28:17 STATE: test-node-wasm.js passed: detect: samples/in/ai-body.jpg default +2021-10-25 13:28:17 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 1 gesture: 5 object: 0 person: 1 {"score":1,"age":28.5,"gender":"female"} {} {"score":0.92,"keypoints":17} +2021-10-25 13:28:17 DATA:  test-node-wasm.js result: performance: load: 3329 total: 612 +2021-10-25 13:28:17 STATE: test-node-wasm.js passed: default sync +2021-10-25 13:28:17 STATE: test-node-wasm.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34697856} +2021-10-25 13:28:17 STATE: test-node-wasm.js passed: image input null [1,256,256,3] +2021-10-25 13:28:17 STATE: test-node-wasm.js passed: invalid input {"error":"could not convert input to tensor"} +2021-10-25 13:28:17 INFO:  test-node-wasm.js test face similarity +2021-10-25 13:28:17 STATE: test-node-wasm.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34697856} +2021-10-25 13:28:17 STATE: test-node-wasm.js event: image +2021-10-25 13:28:18 STATE: test-node-wasm.js event: detect +2021-10-25 13:28:18 STATE: test-node-wasm.js passed: detect: samples/in/ai-face.jpg default +2021-10-25 13:28:18 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 1 gesture: 5 object: 0 person: 1 {"score":1,"age":28.4,"gender":"female"} {} {"score":0.47,"keypoints":3} +2021-10-25 13:28:18 DATA:  test-node-wasm.js result: performance: load: 3329 total: 520 +2021-10-25 13:28:19 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1038921856} +2021-10-25 13:28:19 STATE: test-node-wasm.js event: image +2021-10-25 13:28:20 STATE: test-node-wasm.js event: detect +2021-10-25 13:28:20 STATE: test-node-wasm.js passed: detect: samples/in/ai-body.jpg default +2021-10-25 13:28:20 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 1 gesture: 5 object: 0 person: 1 {"score":1,"age":28.5,"gender":"female"} {} {"score":0.92,"keypoints":17} +2021-10-25 13:28:20 DATA:  test-node-wasm.js result: performance: load: 3329 total: 605 +2021-10-25 13:28:20 STATE: test-node-wasm.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151155104} +2021-10-25 13:28:20 STATE: test-node-wasm.js event: image +2021-10-25 13:28:21 STATE: test-node-wasm.js event: detect +2021-10-25 13:28:21 STATE: test-node-wasm.js passed: detect: samples/in/ai-upper.jpg default +2021-10-25 13:28:21 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 0 gesture: 5 object: 0 person: 1 {"score":1,"age":29.5,"gender":"female"} {} {"score":0.75,"keypoints":7} +2021-10-25 13:28:21 DATA:  test-node-wasm.js result: performance: load: 3329 total: 476 +2021-10-25 13:28:21 STATE: test-node-wasm.js passed: face descriptor +2021-10-25 13:28:21 STATE: test-node-wasm.js passed: face similarity {"similarity":[1,0.5709617628930286,0.5348249831813904],"descriptors":[1024,1024,1024]} +2021-10-25 13:28:21 INFO:  test-node-wasm.js test face matching +2021-10-25 13:28:21 STATE: test-node-wasm.js passed: face database 57 +2021-10-25 13:28:21 STATE: test-node-wasm.js passed: face match {"first":{"index":4,"similarity":0.9563315918096965}} {"second":{"index":4,"similarity":0.5730064647148242}} {"third":{"index":4,"similarity":0.53724895055337}} +2021-10-25 13:28:21 INFO:  test-node-wasm.js test object +2021-10-25 13:28:22 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1038921856} +2021-10-25 13:28:22 STATE: test-node-wasm.js event: image +2021-10-25 13:28:23 STATE: test-node-wasm.js event: detect +2021-10-25 13:28:23 STATE: test-node-wasm.js passed: detect: samples/in/ai-body.jpg default +2021-10-25 13:28:23 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 1 gesture: 5 object: 0 person: 1 {"score":1,"age":28.5,"gender":"female"} {} {"score":0.92,"keypoints":17} +2021-10-25 13:28:23 DATA:  test-node-wasm.js result: performance: load: 3329 total: 644 +2021-10-25 13:28:23 ERROR: test-node-wasm.js failed: object result mismatch 0 +2021-10-25 13:28:23 INFO:  test-node-wasm.js test sensitive +2021-10-25 13:28:24 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1038921856} +2021-10-25 13:28:24 STATE: test-node-wasm.js event: image +2021-10-25 13:28:25 STATE: test-node-wasm.js event: detect +2021-10-25 13:28:25 STATE: test-node-wasm.js passed: detect: samples/in/ai-body.jpg default +2021-10-25 13:28:25 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 2 gesture: 7 object: 0 person: 1 {"score":1,"age":28.5,"gender":"female"} {} {"score":0.92,"keypoints":17} +2021-10-25 13:28:25 DATA:  test-node-wasm.js result: performance: load: 3329 total: 766 +2021-10-25 13:28:25 STATE: test-node-wasm.js passed: sensitive result match +2021-10-25 13:28:25 STATE: test-node-wasm.js passed: sensitive face result match +2021-10-25 13:28:25 ERROR: test-node-wasm.js failed: sensitive face emotion result mismatch 3 +2021-10-25 13:28:25 STATE: test-node-wasm.js passed: sensitive body result match +2021-10-25 13:28:25 STATE: test-node-wasm.js passed: sensitive hand result match +2021-10-25 13:28:25 INFO:  test-node-wasm.js test detectors +2021-10-25 13:28:26 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1038921856} +2021-10-25 13:28:26 STATE: test-node-wasm.js event: image +2021-10-25 13:28:26 STATE: test-node-wasm.js event: detect +2021-10-25 13:28:26 STATE: test-node-wasm.js passed: detect: samples/in/ai-body.jpg default +2021-10-25 13:28:26 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 1 gesture: 1 object: 0 person: 1 {"score":0.93} {} {"score":0.92,"keypoints":17} +2021-10-25 13:28:26 DATA:  test-node-wasm.js result: performance: load: 3329 total: 242 +2021-10-25 13:28:26 STATE: test-node-wasm.js passed: detector result face match +2021-10-25 13:28:26 STATE: test-node-wasm.js passed: detector result hand match +2021-10-25 13:28:26 STATE: test-node-wasm.js event: image +2021-10-25 13:28:27 STATE: test-node-wasm.js event: detect +2021-10-25 13:28:27 STATE: test-node-wasm.js passed: detect: random default +2021-10-25 13:28:27 DATA:  test-node-wasm.js result: face: 0 body: 1 hand: 0 gesture: 1 object: 0 person: 0 {} {} {"score":0.08,"keypoints":15} +2021-10-25 13:28:27 DATA:  test-node-wasm.js result: performance: load: 3329 total: 217 +2021-10-25 13:28:27 INFO:  test-node-wasm.js test: first instance +2021-10-25 13:28:27 STATE: test-node-wasm.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151155104} +2021-10-25 13:28:27 STATE: test-node-wasm.js passed: detect: samples/in/ai-upper.jpg default +2021-10-25 13:28:27 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 0 gesture: 1 object: 0 person: 1 {"score":0.96} {} {"score":0.75,"keypoints":16} +2021-10-25 13:28:27 DATA:  test-node-wasm.js result: performance: load: 2 total: 266 +2021-10-25 13:28:27 INFO:  test-node-wasm.js test: second instance +2021-10-25 13:28:28 STATE: test-node-wasm.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151155104} +2021-10-25 13:28:28 STATE: test-node-wasm.js passed: detect: samples/in/ai-upper.jpg default +2021-10-25 13:28:28 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 0 gesture: 1 object: 0 person: 1 {"score":0.96} {} {"score":0.75,"keypoints":16} +2021-10-25 13:28:28 DATA:  test-node-wasm.js result: performance: load: 2 total: 271 +2021-10-25 13:28:28 INFO:  test-node-wasm.js test: concurrent +2021-10-25 13:28:28 STATE: test-node-wasm.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34697856} +2021-10-25 13:28:28 STATE: test-node-wasm.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34697856} +2021-10-25 13:28:30 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1038921856} +2021-10-25 13:28:31 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1038921856} +2021-10-25 13:28:32 STATE: test-node-wasm.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151155104} +2021-10-25 13:28:32 STATE: test-node-wasm.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151155104} +2021-10-25 13:28:32 STATE: test-node-wasm.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34697856} +2021-10-25 13:28:33 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1038921856} +2021-10-25 13:28:34 STATE: test-node-wasm.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151155104} +2021-10-25 13:28:34 STATE: test-node-wasm.js event: image +2021-10-25 13:28:34 STATE: test-node-wasm.js event: image +2021-10-25 13:28:34 STATE: test-node-wasm.js event: image +2021-10-25 13:28:36 STATE: test-node-wasm.js passed: detect: samples/in/ai-upper.jpg default +2021-10-25 13:28:36 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 0 gesture: 1 object: 0 person: 1 {"score":0.96} {} {"score":0.75,"keypoints":16} +2021-10-25 13:28:36 DATA:  test-node-wasm.js result: performance: load: 1824 total: 3907 +2021-10-25 13:28:36 STATE: test-node-wasm.js passed: detect: samples/in/ai-upper.jpg default +2021-10-25 13:28:36 DATA:  test-node-wasm.js result: face: 2 body: 1 hand: 0 gesture: 1 object: 0 person: 2 {"score":0.96} {} {"score":0.75,"keypoints":16} +2021-10-25 13:28:36 DATA:  test-node-wasm.js result: performance: load: 1824 total: 3907 +2021-10-25 13:28:36 STATE: test-node-wasm.js passed: detect: samples/in/ai-face.jpg default +2021-10-25 13:28:36 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 1 gesture: 2 object: 0 person: 1 {"score":0.91} {} {"score":0.47,"keypoints":17} +2021-10-25 13:28:36 DATA:  test-node-wasm.js result: performance: load: 1824 total: 3908 +2021-10-25 13:28:36 STATE: test-node-wasm.js passed: detect: samples/in/ai-face.jpg default +2021-10-25 13:28:36 DATA:  test-node-wasm.js result: face: 2 body: 1 hand: 1 gesture: 2 object: 0 person: 2 {"score":0.91} {} {"score":0.47,"keypoints":17} +2021-10-25 13:28:36 DATA:  test-node-wasm.js result: performance: load: 1824 total: 3908 +2021-10-25 13:28:36 STATE: test-node-wasm.js passed: detect: samples/in/ai-body.jpg default +2021-10-25 13:28:36 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 1 gesture: 1 object: 0 person: 1 {"score":0.93} {} {"score":0.92,"keypoints":17} +2021-10-25 13:28:36 DATA:  test-node-wasm.js result: performance: load: 1824 total: 3908 +2021-10-25 13:28:36 STATE: test-node-wasm.js passed: detect: samples/in/ai-body.jpg default +2021-10-25 13:28:36 DATA:  test-node-wasm.js result: face: 2 body: 1 hand: 1 gesture: 1 object: 0 person: 2 {"score":0.93} {} {"score":0.92,"keypoints":17} +2021-10-25 13:28:36 DATA:  test-node-wasm.js result: performance: load: 1824 total: 3908 +2021-10-25 13:28:36 STATE: test-node-wasm.js event: detect +2021-10-25 13:28:36 STATE: test-node-wasm.js passed: detect: samples/in/ai-upper.jpg default +2021-10-25 13:28:36 DATA:  test-node-wasm.js result: face: 5 body: 1 hand: 0 gesture: 1 object: 0 person: 5 {"score":0.96} {} {"score":0.75,"keypoints":16} +2021-10-25 13:28:36 DATA:  test-node-wasm.js result: performance: load: 3824 total: 2084 +2021-10-25 13:28:36 STATE: test-node-wasm.js event: detect +2021-10-25 13:28:36 STATE: test-node-wasm.js event: detect +2021-10-25 13:28:36 STATE: test-node-wasm.js passed: detect: samples/in/ai-face.jpg default +2021-10-25 13:28:36 DATA:  test-node-wasm.js result: face: 3 body: 1 hand: 1 gesture: 2 object: 0 person: 3 {"score":0.96} {} {"score":0.47,"keypoints":17} +2021-10-25 13:28:36 DATA:  test-node-wasm.js result: performance: load: 3824 total: 2085 +2021-10-25 13:28:36 STATE: test-node-wasm.js passed: detect: samples/in/ai-body.jpg default +2021-10-25 13:28:36 DATA:  test-node-wasm.js result: face: 4 body: 1 hand: 1 gesture: 1 object: 0 person: 4 {"score":0.96} {} {"score":0.92,"keypoints":17} +2021-10-25 13:28:36 DATA:  test-node-wasm.js result: performance: load: 3824 total: 2085 +2021-10-25 13:28:36 STATE: test-node-wasm.js event: image +2021-10-25 13:28:36 STATE: test-node-wasm.js event: detect +2021-10-25 13:28:36 STATE: test-node-wasm.js passed: monkey patch +2021-10-25 13:28:36 STATE: test-node-wasm.js passed: segmentation [65536] +2021-10-25 13:28:36 STATE: test-node-wasm.js passeed: equal usage +2021-10-25 13:28:36 INFO:  test-node-wasm.js events: {"image":15,"detect":15,"warmup":2} +2021-10-25 13:28:36 INFO:  test-node-wasm.js tensors 1926 +2021-10-25 13:28:36 INFO:  test-node-wasm.js test complete: 27661 ms +2021-10-25 13:28:36 INFO:  +2021-10-25 13:28:36 INFO:  failed [{"test":"test-node-wasm.js","data":["error",["failed: warmup face result mismatch",1,1,1,5]]},{"test":"test-node-wasm.js","data":["error",["failed: object result mismatch",0]]},{"test":"test-node-wasm.js","data":["error",["failed: sensitive face emotion result mismatch",3]]}] +2021-10-25 13:28:36 INFO:  status: {"test-node.js":{"passed":70,"failed":0},"test-node-gpu.js":{"passed":70,"failed":0},"test-node-wasm.js":{"passed":68,"failed":3}} diff --git a/typedoc/classes/Env.html b/typedoc/classes/Env.html index b0e91c22..76894d6b 100644 --- a/typedoc/classes/Env.html +++ b/typedoc/classes/Env.html @@ -1,4 +1,4 @@ -Env | @vladmandic/human - v2.4.0
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Class Env

+Env | @vladmandic/human - v2.4.1
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Class Env

Env class that holds detected capabilities

Hierarchy

  • Env

Index

Constructors

Properties

Methods

Constructors

constructor

Properties

Canvas

Canvas: undefined

MonkeyPatch for Canvas

diff --git a/typedoc/classes/Human.html b/typedoc/classes/Human.html index aa3ab79d..dbcd4348 100644 --- a/typedoc/classes/Human.html +++ b/typedoc/classes/Human.html @@ -1,4 +1,4 @@ -Human | @vladmandic/human - v2.4.0
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Class Human

+Human | @vladmandic/human - v2.4.1
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Class Human

Human* library main class

All methods and properties are available only as members of Human class

Events

Events: "create" | "load" | "image" | "result" | "warmup" | "error"

Events dispatched by human.events

  • create: triggered when Human object is instantiated
    • @@ -59,13 +59,13 @@
  • result: triggered when detection is complete
  • warmup: triggered when warmup is complete
-

ExternalCanvas

ExternalCanvas: typeof Canvas
+

ExternalCanvas

ExternalCanvas: typeof Canvas

Defines possible externally defined canvas

FaceGesture

FaceGesture: `facing ${"left" | "center" | "right"}` | `blink ${"left" | "right"} eye` | `mouth ${number}% open` | `head ${"up" | "down"}`

GestureResult

GestureResult: { face: number; gesture: FaceGesture } | { gesture: IrisGesture; iris: number } | { body: number; gesture: BodyGesture } | { gesture: HandGesture; hand: number }

Gesture combined results

-

HandGesture

HandGesture: `${"thumb" | "index" | "middle" | "ring" | "pinky"} forward` | `${"thumb" | "index" | "middle" | "ring" | "pinky"} up` | "victory" | "thumbs up"

ImageObjects

ImageObjects: ImageData | ImageBitmap
+

HandGesture

HandGesture: `${"thumb" | "index" | "middle" | "ring" | "pinky"} forward` | `${"thumb" | "index" | "middle" | "ring" | "pinky"} up` | "victory" | "thumbs up"

ImageObjects

ImageObjects: ImageData | ImageBitmap

Defines all possible image objects

-

Input

Input: Tensor | AnyCanvas | AnyImage | AnyVideo | ImageObjects | ExternalCanvas
+

Input

Input: Tensor | AnyCanvas | AnyImage | AnyVideo | ImageObjects | ExternalCanvas

Defines all possible input types for Human detection

IrisGesture

IrisGesture: "facing center" | `looking ${"left" | "right" | "up" | "down"}` | "looking center"

Point

Point: [number, number, number?]

generic point as [x, y, z?]

diff --git a/typedoc/interfaces/BodyConfig.html b/typedoc/interfaces/BodyConfig.html index fe46c1c5..b0d7b1d5 100644 --- a/typedoc/interfaces/BodyConfig.html +++ b/typedoc/interfaces/BodyConfig.html @@ -1,4 +1,4 @@ -BodyConfig | @vladmandic/human - v2.4.0
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Interface BodyConfig

+BodyConfig | @vladmandic/human - v2.4.1
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Interface BodyConfig

Configures all body detection specific options

Hierarchy

Index

Properties

Properties

Optional detector

detector?: { modelPath: string }

Type declaration

  • modelPath: string
    property

    path to optional body detector model json file

enabled

enabled: boolean
property

is module enabled?

diff --git a/typedoc/interfaces/BodyKeypoint.html b/typedoc/interfaces/BodyKeypoint.html index 39409e7d..cf9fa524 100644 --- a/typedoc/interfaces/BodyKeypoint.html +++ b/typedoc/interfaces/BodyKeypoint.html @@ -1,4 +1,4 @@ -BodyKeypoint | @vladmandic/human - v2.4.0
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Interface BodyKeypoint

Hierarchy

  • BodyKeypoint

Index

Properties

Properties

part

part: string
+BodyKeypoint | @vladmandic/human - v2.4.1
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Interface BodyKeypoint

Hierarchy

  • BodyKeypoint

Index

Properties

Properties

part

part: string

body part name

position

position: Point

body part position

diff --git a/typedoc/interfaces/BodyResult.html b/typedoc/interfaces/BodyResult.html index 924d2ef8..a1ac4ea0 100644 --- a/typedoc/interfaces/BodyResult.html +++ b/typedoc/interfaces/BodyResult.html @@ -1,4 +1,4 @@ -BodyResult | @vladmandic/human - v2.4.0
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Interface BodyResult

+BodyResult | @vladmandic/human - v2.4.1
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Interface BodyResult

Body results

Hierarchy

  • BodyResult

Index

Properties

Properties

annotations

annotations: Record<string, Point[][]>

detected body keypoints combined into annotated parts

diff --git a/typedoc/interfaces/Config.html b/typedoc/interfaces/Config.html index 60fbc6b5..a0027a9b 100644 --- a/typedoc/interfaces/Config.html +++ b/typedoc/interfaces/Config.html @@ -1,4 +1,4 @@ -Config | @vladmandic/human - v2.4.0
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Interface Config

+Config | @vladmandic/human - v2.4.1
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Interface Config

Configuration interface definition for Human library

Contains all configurable parameters

Hierarchy

  • Config

Index

Properties

Properties

async

async: boolean
diff --git a/typedoc/interfaces/FaceAntiSpoofConfig.html b/typedoc/interfaces/FaceAntiSpoofConfig.html index 38e8d824..82efb221 100644 --- a/typedoc/interfaces/FaceAntiSpoofConfig.html +++ b/typedoc/interfaces/FaceAntiSpoofConfig.html @@ -1,4 +1,4 @@ -FaceAntiSpoofConfig | @vladmandic/human - v2.4.0
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Interface FaceAntiSpoofConfig

+FaceAntiSpoofConfig | @vladmandic/human - v2.4.1
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Interface FaceAntiSpoofConfig

Anti-spoofing part of face configuration

Hierarchy

Index

Properties

Properties

enabled

enabled: boolean
property

is module enabled?

modelPath

modelPath: string
property

path to model json file

diff --git a/typedoc/interfaces/FaceConfig.html b/typedoc/interfaces/FaceConfig.html index 7b0ac1e0..495e5979 100644 --- a/typedoc/interfaces/FaceConfig.html +++ b/typedoc/interfaces/FaceConfig.html @@ -1,4 +1,4 @@ -FaceConfig | @vladmandic/human - v2.4.0
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Interface FaceConfig

+FaceConfig | @vladmandic/human - v2.4.1
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Interface FaceConfig

Configures all face-specific options: face detection, mesh analysis, age, gender, emotion detection and face description

Hierarchy

Index

Properties

Properties

antispoof

antispoof: Partial<FaceAntiSpoofConfig>

description

description: Partial<FaceDescriptionConfig>

detector

detector: Partial<FaceDetectorConfig>

emotion

emotion: Partial<FaceEmotionConfig>

enabled

enabled: boolean
property

is module enabled?

iris

iris: Partial<FaceIrisConfig>

mesh

mesh: Partial<FaceMeshConfig>

modelPath

modelPath: string
property

path to model json file

diff --git a/typedoc/interfaces/FaceDescriptionConfig.html b/typedoc/interfaces/FaceDescriptionConfig.html index 3a0f794f..d4d3399d 100644 --- a/typedoc/interfaces/FaceDescriptionConfig.html +++ b/typedoc/interfaces/FaceDescriptionConfig.html @@ -1,4 +1,4 @@ -FaceDescriptionConfig | @vladmandic/human - v2.4.0
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Interface FaceDescriptionConfig

+FaceDescriptionConfig | @vladmandic/human - v2.4.1
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Interface FaceDescriptionConfig

Description or face embedding part of face configuration