diff --git a/CHANGELOG.md b/CHANGELOG.md index 4c03089c..651a153b 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -1,6 +1,6 @@ # @vladmandic/human - Version: **2.8.0** + Version: **2.8.1** Description: **Human: AI-powered 3D Face Detection & Rotation Tracking, Face Description & Recognition, Body Pose Tracking, 3D Hand & Finger Tracking, Iris Analysis, Age & Gender & Emotion Prediction, Gesture Recognition** Author: **Vladimir Mandic ** @@ -9,11 +9,12 @@ ## Changelog -### **HEAD -> main** 2022/05/30 mandic00@live.com +### **2.8.1** 2022/06/08 mandic00@live.com -### **origin/main** 2022/05/29 mandic00@live.com +### **origin/main** 2022/06/02 mandic00@live.com +- add faceboxes prototype - full rebuild ### **2.7.4** 2022/05/24 mandic00@live.com diff --git a/TODO.md b/TODO.md index 408513ef..9a0c255a 100644 --- a/TODO.md +++ b/TODO.md @@ -47,18 +47,3 @@ Feature is automatically disabled in **NodeJS** without user impact

## Pending Release Changes - -- Updated **FaceMesh-Landmarks** models -- Added **FaceMesh-with-Attention** model is disabled by defauls, enable using - `config.face.mesh.attention = true` -- If **FaceMesh-with-Attention** model is enabled, Iris model gets disabled - as its functionality is superseded by attention model -- Results include more detailed face mesh annotations - `result.face[].annotations` -- Update benchmarks: `demo/benchmark` -- Slight performance improvement with canvas reads using `WASM` backend -- Default to RTM version of `WASM` binaries -- Enhanced `WebGPU` compatibility -- Support for **NodeJS v18** -- Updated **Known Issues** - See diff --git a/dist/human.esm-nobundle.js b/dist/human.esm-nobundle.js index 109c05db..486687cc 100644 --- a/dist/human.esm-nobundle.js +++ b/dist/human.esm-nobundle.js @@ -96,7 +96,7 @@ var Y2=Object.defineProperty;var ho=Object.getOwnPropertyDescriptor;var bo=Objec c31 * m[6] + c32 * m[7] + c33 * m[8]; gl_FragColor.a = c22.a; } -`;var 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u5=["nose","leftEyeInside","leftEye","leftEyeOutside","rightEyeInside","rightEye","rightEyeOutside","leftEar","rightEar","leftMouth","rightMouth","leftShoulder","rightShoulder","leftElbow","rightElbow","leftWrist","rightWrist","leftPinky","rightPinky","leftIndex","rightIndex","leftThumb","rightThumb","leftHip","rightHip","leftKnee","rightKnee","leftAnkle","rightAnkle","leftHeel","rightHeel","leftFoot","rightFoot","bodyCenter","bodyTop","leftPalm","leftHand","rightPalm","rightHand"],h5={shoulders:["leftShoulder","rightShoulder"],hips:["rightHip","leftHip"],mouth:["leftMouth","rightMouth"],leftLegUpper:["leftHip","leftKnee"],leftLegLower:["leftKnee","leftAnkle"],leftFoot:["leftAnkle","leftHeel","leftFoot"],leftTorso:["leftShoulder","leftHip"],leftArmUpper:["leftShoulder","leftElbow"],leftArmLower:["leftElbow","leftWrist"],leftHand:["leftWrist","leftPalm"],leftHandPinky:["leftPalm","leftPinky"],leftHandIndex:["leftPalm","leftIndex"],leftHandThumb:["leftPalm","leftThumb"],leftEyeOutline:["leftEyeInside","leftEyeOutside"],rightLegUpper:["rightHip","rightKnee"],rightLegLower:["rightKnee","rightAnkle"],rightFoot:["rightAnkle","rightHeel","rightFoot"],rightTorso:["rightShoulder","rightHip"],rightArmUpper:["rightShoulder","rightElbow"],rightArmLower:["rightElbow","rightWrist"],rightHand:["rightWrist","rightPalm"],rightHandPinky:["rightPalm","rightPinky"],rightHandIndex:["rightPalm","rightIndex"],rightHandThumb:["rightPalm","rightThumb"],rightEyeOutline:["rightEyeInside","rightEyeOutside"]};var 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Tt={initial:!0},d0={detector:null,landmarks:null},Re={detector:[224,224],landmarks:[256,256]},b5=Number.MAX_SAFE_INTEGER,sn={landmarks:["ld_3d","activation_segmentation","activation_heatmap","world_3d","output_poseflag"],detector:[]},P2=null,Je,U0=[[0,0],[0,0],[0,0],[0,0]],Mt=0,Rt=e=>1-1/(1+Math.exp(e));async function vt(e){if(Tt.initial&&(d0.detector=null),!d0.detector&&e.body.detector&&e.body.detector.modelPath){d0.detector=await L(e.body.detector.modelPath);let t=Object.values(d0.detector.modelSignature.inputs);Re.detector[0]=Array.isArray(t)?parseInt(t[0].tensorShape.dim[1].size):0,Re.detector[1]=Array.isArray(t)?parseInt(t[0].tensorShape.dim[2].size):0}else e.debug&&d0.detector&&u("cached model:",d0.detector.modelUrl);return await gt(),d0.detector}async function wt(e){if(Tt.initial&&(d0.landmarks=null),d0.landmarks)e.debug&&u("cached model:",d0.landmarks.modelUrl);else{d0.landmarks=await L(e.body.modelPath);let 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n.ld.data(),a=await n.world.data();Object.keys(n).forEach(p=>A.dispose(n[p]));let i=[],l=5;for(let p=0;pp.position),y=W0(d,[o[0],o[1]]),c={};for(let[p,R]of Object.entries(h5)){let P=[];for(let g=0;gC.part===R[g]),M=x.find(C=>C.part===R[g+1]);f&&M&&P.push([f.position,M.position])}c[p]=P}return{id:0,score:Math.trunc(100*r)/100,box:y.box,boxRaw:y.boxRaw,keypoints:x,annotations:c}}async function g5(e,t){let o=[e.shape[2]||0,e.shape[1]||0],n=(t.body.skipTime||0)>b()-Mt,r=b5<(t.body.skipFrames||0);if(t.skipAllowed&&n&&r&&P2!==null)b5++;else{let s={};s.landmarks=await an(e,256),P2=await xn(s.landmarks,t,o),Object.keys(s).forEach(a=>A.dispose(s[a])),Mt=b(),b5=0}return P2?[P2]:[]}var Te=[{class:1,label:"person"},{class:2,label:"bicycle"},{class:3,label:"car"},{class:4,label:"motorcycle"},{class:5,label:"airplane"},{class:6,label:"bus"},{class:7,label:"train"},{class:8,label:"truck"},{class:9,label:"boat"},{class:10,label:"traffic light"},{class:11,label:"fire hydrant"},{class:12,label:"stop 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drier"},{class:80,label:"toothbrush"}];var F0,ie=0,P5=[],Et=0,M5=Number.MAX_SAFE_INTEGER;async function zt(e){if(v.initial&&(F0=null),F0)e.debug&&u("cached model:",F0.modelUrl);else{F0=await L(e.object.modelPath);let t=Object.values(F0.modelSignature.inputs);ie=Array.isArray(t)?parseInt(t[0].tensorShape.dim[2].size):0}return F0}async function cn(e,t,o){if(!e)return[];let n={},r=[],s=await e.array();n.squeeze=A.squeeze(e);let a=A.split(n.squeeze,6,1);n.stack=A.stack([a[1],a[0],a[3],a[2]],1),n.boxes=A.squeeze(n.stack),n.scores=A.squeeze(a[4]),n.classes=A.squeeze(a[5]),A.dispose([e,...a]),n.nms=await A.image.nonMaxSuppressionAsync(n.boxes,n.scores,o.object.maxDetected,o.object.iouThreshold,o.object.minConfidence||0);let i=await n.nms.data(),l=0;for(let x of Array.from(i)){let d=Math.trunc(100*s[0][x][4])/100,y=s[0][x][5],c=Te[y].label,[m,h]=[s[0][x][0]/ie,s[0][x][1]/ie],p=[m,h,s[0][x][2]/ie-m,s[0][x][3]/ie-h],R=[Math.trunc(p[0]*t[0]),Math.trunc(p[1]*t[1]),Math.trunc(p[2]*t[0]),Math.trunc(p[3]*t[1])];r.push({id:l++,score:d,class:y,label:c,box:R,boxRaw:p})}return Object.keys(n).forEach(x=>A.dispose(n[x])),r}async function R5(e,t){let o=(t.object.skipTime||0)>b()-Et,n=M5<(t.object.skipFrames||0);return t.skipAllowed&&o&&n&&P5.length>0?(M5++,P5):(M5=0,new Promise(async r=>{let s=[e.shape[2]||0,e.shape[1]||0],a=A.image.resizeBilinear(e,[ie,ie]),i=t.object.enabled?F0==null?void 0:F0.execute(a,["tower_0/detections"]):null;Et=b(),A.dispose(a);let l=await cn(i,s,t);P5=l,r(l)}))}var M2={};ne(M2,{connected:()=>v5,kpt:()=>T5});var T5=["head","neck","rightShoulder","rightElbow","rightWrist","chest","leftShoulder","leftElbow","leftWrist","bodyCenter","rightHip","rightKnee","rightAnkle","leftHip","leftKnee","leftAnkle"],v5={leftLeg:["leftHip","leftKnee","leftAnkle"],rightLeg:["rightHip","rightKnee","rightAnkle"],torso:["leftShoulder","rightShoulder","rightHip","leftHip","leftShoulder"],leftArm:["leftShoulder","leftElbow","leftWrist"],rightArm:["rightShoulder","rightElbow","rightWrist"],head:[]};var A0,Ct=0,y0={id:0,keypoints:[],box:[0,0,0,0],boxRaw:[0,0,0,0],score:0,annotations:{}},w5=Number.MAX_SAFE_INTEGER;async function jt(e){return v.initial&&(A0=null),A0?e.debug&&u("cached model:",A0.modelUrl):A0=await L(e.body.modelPath),A0}async function dn(e,t){let[o,n]=e.shape,r=A.reshape(e,[n*o]),s=A.max(r,0),a=(await s.data())[0];if(A.dispose([r,s]),a>t){let i=A.argMax(r,0),l=A.mod(i,o),x=(await l.data())[0],d=A.div(i,A.scalar(o,"int32")),y=(await d.data())[0];return A.dispose([l,d]),[x,y,a]}return[0,0,a]}async function k5(e,t){let o=(t.body.skipTime||0)>b()-Ct,n=w5<(t.body.skipFrames||0);return t.skipAllowed&&o&&n&&Object.keys(y0.keypoints).length>0?(w5++,[y0]):(w5=0,new Promise(async r=>{var y;let s=A.tidy(()=>{if(!(A0!=null&&A0.inputs[0].shape))return null;let c=A.image.resizeBilinear(e,[A0.inputs[0].shape[2],A0.inputs[0].shape[1]],!1),m=A.mul(c,W.tf2);return A.sub(m,W.tf1)}),a;if(t.body.enabled&&(a=A0==null?void 0:A0.execute(s)),Ct=b(),A.dispose(s),a){y0.keypoints.length=0;let c=a.squeeze();A.dispose(a);let m=c.unstack(2);A.dispose(c);for(let h=0;h(((y=t.body)==null?void 0:y.minConfidence)||0)&&y0.keypoints.push({score:Math.round(100*P)/100,part:T5[h],positionRaw:[p/A0.inputs[0].shape[2],R/A0.inputs[0].shape[1]],position:[Math.round(e.shape[2]*p/A0.inputs[0].shape[2]),Math.round(e.shape[1]*R/A0.inputs[0].shape[1])]})}m.forEach(h=>A.dispose(h))}y0.score=y0.keypoints.reduce((c,m)=>m.score>c?m.score:c,0);let i=y0.keypoints.map(c=>c.position[0]),l=y0.keypoints.map(c=>c.position[1]);y0.box=[Math.min(...i),Math.min(...l),Math.max(...i)-Math.min(...i),Math.max(...l)-Math.min(...l)];let x=y0.keypoints.map(c=>c.positionRaw[0]),d=y0.keypoints.map(c=>c.positionRaw[1]);y0.boxRaw=[Math.min(...x),Math.min(...d),Math.max(...x)-Math.min(...x),Math.max(...d)-Math.min(...d)];for(let[c,m]of Object.entries(v5)){let h=[];for(let p=0;pg.part===m[p]),P=y0.keypoints.find(g=>g.part===m[p+1]);R&&P&&R.score>(t.body.minConfidence||0)&&P.score>(t.body.minConfidence||0)&&h.push([R.position,P.position])}y0.annotations[c]=h}r([y0])}))}var fn=["angry","disgust","fear","happy","sad","surprise","neutral"],g0,R2=[],Nt=0,Ot=0,E5=Number.MAX_SAFE_INTEGER;async function Lt(e){var t;return v.initial&&(g0=null),g0?e.debug&&u("cached model:",g0.modelUrl):g0=await L((t=e.face.emotion)==null?void 0:t.modelPath),g0}async function z5(e,t,o,n){var a,i;if(!g0)return[];let r=E5<(((a=t.face.emotion)==null?void 0:a.skipFrames)||0),s=(((i=t.face.emotion)==null?void 0:i.skipTime)||0)>b()-Ot;return t.skipAllowed&&s&&r&&Nt===n&&R2[o]&&R2[o].length>0?(E5++,R2[o]):(E5=0,new Promise(async l=>{var d,y;let x=[];if((d=t.face.emotion)!=null&&d.enabled){let c={},m=g0!=null&&g0.inputs[0].shape?g0.inputs[0].shape[2]:0;c.resize=A.image.resizeBilinear(e,[m,m],!1),c.channels=A.mul(c.resize,W.rgb),c.grayscale=A.sum(c.channels,3,!0),c.grayscaleSub=A.sub(c.grayscale,W.tf05),c.grayscaleMul=A.mul(c.grayscaleSub,W.tf2),c.emotion=g0==null?void 0:g0.execute(c.grayscaleMul),Ot=b();let h=await c.emotion.data();for(let p=0;p(((y=t.face.emotion)==null?void 0:y.minConfidence)||0)&&x.push({score:Math.min(.99,Math.trunc(100*h[p])/100),emotion:fn[p]});x.sort((p,R)=>R.score-p.score),Object.keys(c).forEach(p=>A.dispose(c[p]))}R2[o]=x,Nt=n,l(x)}))}var f0,S5=[],Ft=0,Gt=0,Bt=Number.MAX_SAFE_INTEGER;async function Ht(e){return v.initial&&(f0=null),f0?e.debug&&u("cached model:",f0.modelUrl):f0=await L(e.face.mobilefacenet.modelPath),f0}async function C5(e,t,o,n){var a,i;if(!f0)return[];let r=Bt<(((a=t.face.embedding)==null?void 0:a.skipFrames)||0),s=(((i=t.face.embedding)==null?void 0:i.skipTime)||0)>b()-Gt;return t.skipAllowed&&s&&r&&Ft===n&&S5[o]?(Bt++,S5[o]):new Promise(async l=>{var d;let x=[];if(((d=t.face.embedding)==null?void 0:d.enabled)&&(f0==null?void 0:f0.inputs[0].shape)){let y={};y.crop=A.image.resizeBilinear(e,[f0.inputs[0].shape[2],f0.inputs[0].shape[1]],!1),y.data=f0==null?void 0:f0.execute(y.crop);let c=await y.data.data();x=Array.from(c)}S5[o]=x,Ft=n,Gt=b(),l(x)})}var G0,Y0=0,mn=2.3,j5=T0.leftEyeLower0,I5=T0.rightEyeLower0,ve={leftBounds:[j5[0],j5[j5.length-1]],rightBounds:[I5[0],I5[I5.length-1]]},we={upperCenter:3,lowerCenter:4,index:71,numCoordinates:76};async function qt(e){var t;return v.initial&&(G0=null),G0?e.debug&&u("cached model:",G0.modelUrl):G0=await L((t=e.face.iris)==null?void 0:t.modelPath),Y0=G0.inputs[0].shape?G0.inputs[0].shape[2]:0,Y0===-1&&(Y0=64),G0}function T2(e,t,o,n){for(let r=0;r{let t=e[ve.leftBounds[0]][2],o=e[ve.rightBounds[0]][2];return t-o},Dt=(e,t,o,n,r,s=!1)=>{let a=p2(m2(it([e[o],e[n]]),mn)),i=Pe(a),l=A.image.cropAndResize(t,[[a.startPoint[1]/r,a.startPoint[0]/r,a.endPoint[1]/r,a.endPoint[0]/r]],[0],[Y0,Y0]);if(s&&v.kernels.includes("flipleftright")){let x=A.image.flipLeftRight(l);A.dispose(l),l=x}return{box:a,boxSize:i,crop:l}},Zt=(e,t,o,n=!1)=>{let r=[];for(let s=0;s{let n=e[T0[`${o}EyeUpper0`][we.upperCenter]][2],r=e[T0[`${o}EyeLower0`][we.lowerCenter]][2],s=(n+r)/2;return t.map((a,i)=>{let l=s;return i===2?l=n:i===4&&(l=r),[a[0],a[1],l]})};async function Ut(e,t,o,n){if(!G0)return o.debug&&u("face mesh iris detection requested, but model is not 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un=[[61,146],[146,91],[91,181],[181,84],[84,17],[17,314],[314,405],[405,321],[321,375],[375,291],[61,185],[185,40],[40,39],[39,37],[37,0],[0,267],[267,269],[269,270],[270,409],[409,291],[78,95],[95,88],[88,178],[178,87],[87,14],[14,317],[317,402],[402,318],[318,324],[324,308],[78,191],[191,80],[80,81],[81,82],[82,13],[13,312],[312,311],[311,310],[310,415],[415,308]],hn=[[263,249],[249,390],[390,373],[373,374],[374,380],[380,381],[381,382],[382,362],[263,466],[466,388],[388,387],[387,386],[386,385],[385,384],[384,398],[398,362]],bn=[[276,283],[283,282],[282,295],[295,285],[300,293],[293,334],[334,296],[296,336]],gn=[[474,475],[475,476],[476,477],[477,474]],Pn=[[33,7],[7,163],[163,144],[144,145],[145,153],[153,154],[154,155],[155,133],[33,246],[246,161],[161,160],[160,159],[159,158],[158,157],[157,173],[173,133]],Mn=[[46,53],[53,52],[52,65],[65,55],[70,63],[63,105],[105,66],[66,107]],Rn=[[469,470],[470,471],[471,472],[472,469]],Tn=[[10,338],[338,297],[297,332],[332,284],[284,251],[251,389],[389,356],[356,454],[454,323],[323,361],[361,288],[288,397],[397,365],[365,379],[379,378],[378,400],[400,377],[377,152],[152,148],[148,176],[176,149],[149,150],[150,136],[136,172],[172,58],[58,132],[132,93],[93,234],[234,127],[127,162],[162,21],[21,54],[54,103],[103,67],[67,109],[109,10]];function K0(e){let t=e.map(o=>o[0]);return t.push(e[e.length-1][1]),t}var vn={lips:K0(un),leftEye:K0(hn),leftEyebrow:K0(bn),leftIris:K0(gn),rightEye:K0(Pn),rightEyebrow:K0(Mn),rightIris:K0(Rn),faceOval:K0(Tn)},wn=Object.entries(vn).map(([e,t])=>t.map(o=>[o,e])).flat(),FA=new Map(wn),Qe=[61,146,91,181,84,17,314,405,321,375,291,185,40,39,37,0,267,269,270,409,78,95,88,178,87,14,317,402,318,324,308,191,80,81,82,13,312,311,310,415,76,77,90,180,85,16,315,404,320,307,306,184,74,73,72,11,302,303,304,408,62,96,89,179,86,15,316,403,319,325,292,183,42,41,38,12,268,271,272,407],le=[33,7,163,144,145,153,154,155,133,246,161,160,159,158,157,173,130,25,110,24,23,22,26,112,243,247,30,29,27,28,56,190,226,31,228,229,230,231,232,233,244,113,225,224,223,222,221,189,35,124,46,53,52,65,143,111,117,118,119,120,121,128,245,156,70,63,105,66,107,55,193],ye=[263,249,390,373,374,380,381,382,362,466,388,387,386,385,384,398,359,255,339,254,253,252,256,341,463,467,260,259,257,258,286,414,446,261,448,449,450,451,452,453,464,342,445,444,443,442,441,413,265,353,276,283,282,295,372,340,346,347,348,349,350,357,465,383,300,293,334,296,336,285,417];async function Jt(e,t){let o={lips:await t.filter(s=>s.size===160)[0].data(),irisL:await t.filter(s=>s.size===10)[0].data(),eyeL:await t.filter(s=>s.size===142)[0].data(),irisR:await t.filter(s=>s.size===10)[1].data(),eyeR:await t.filter(s=>s.size===142)[1].data()},n=le.reduce((s,a)=>s+=e[a][2],0)/le.length;for(let s=0;ss+=e[a][2],0)/ye.length;for(let s=0;sb()-S0.timestamp,n=S0.skipped<(((l=t.face.detector)==null?void 0:l.skipFrames)||0);!t.skipAllowed||!o||!n||S0.boxes.length===0?(S0.boxes=await ut(e,t),S0.timestamp=b(),S0.skipped=0):S0.skipped++;let r=[],s=[],a=0;for(let g=0;gF.shape[F.shape.length-1]===1),O=I.find(F=>F.shape[F.shape.length-1]===1404),Z=await j.data();k.faceScore=Math.round(100*Z[0])/100;let H=A.reshape(O,[-1,3]),D=await H.array();if(k.faceScore<(((m=t.face.detector)==null?void 0:m.minConfidence)||1)){if(f.confidence=k.faceScore,(h=t.face.mesh)!=null&&h.keepInvalid){k.box=d2(f,e),k.boxRaw=f2(f,e),k.score=k.boxScore,k.mesh=f.landmarks.map(F=>[(f.startPoint[0]+f.endPoint[0])/2+(f.endPoint[0]+f.startPoint[0])*F[0]/Me(),(f.startPoint[1]+f.endPoint[1])/2+(f.endPoint[1]+f.startPoint[1])*F[1]/Me()]),k.meshRaw=k.mesh.map(F=>[F[0]/(e.shape[2]||0),F[1]/(e.shape[1]||0),(F[2]||0)/xe]);for(let F of Object.keys(Ae))k.annotations[F]=[k.mesh[Ae[F]]]}}else{(p=t.face.attention)!=null&&p.enabled?D=await Jt(D,I):(R=t.face.iris)!=null&&R.enabled&&(D=await Ut(D,k.tensor,t,xe)),k.mesh=xt(D,f,M,C,xe),k.meshRaw=k.mesh.map(z=>[z[0]/(e.shape[2]||0),z[1]/(e.shape[1]||0),(z[2]||0)/xe]);for(let z of Object.keys(T0))k.annotations[z]=T0[z].map(h0=>k.mesh[h0]);k.score=k.faceScore;let F={...dt(k.mesh,f),confidence:f.confidence,landmarks:f.landmarks};k.box=d2(F,e),k.boxRaw=f2(F,e),s.push(F)}A.dispose([...I,H])}else{k.box=d2(f,e),k.boxRaw=f2(f,e),k.score=k.boxScore,k.mesh=f.landmarks.map(I=>[(f.startPoint[0]+f.endPoint[0])/2+(f.endPoint[0]+f.startPoint[0])*I[0]/Me(),(f.startPoint[1]+f.endPoint[1])/2+(f.endPoint[1]+f.startPoint[1])*I[1]/Me()]),k.meshRaw=k.mesh.map(I=>[I[0]/(e.shape[2]||0),I[1]/(e.shape[1]||0),(I[2]||0)/xe]);for(let I of Object.keys(Ae))k.annotations[I]=[k.mesh[Ae[I]]]}k.score>(((P=t.face.detector)==null?void 0:P.minConfidence)||1)?r.push(k):A.dispose(k.tensor)}return S0.boxes=s,r}async function _t(e){var t,o,n,r,s,a;return v.initial&&(s0=null),((o=(t=e==null?void 0:e.face)==null?void 0:t.attention)==null?void 0:o.enabled)&&(s0==null?void 0:s0.signature)&&Object.keys(((n=s0==null?void 0:s0.signature)==null?void 0:n.outputs)||{}).length<6&&(s0=null),s0?e.debug&&u("cached model:",s0.modelUrl):(r=e.face.attention)!=null&&r.enabled?s0=await L((s=e.face.attention)==null?void 0:s.modelPath):s0=await L((a=e.face.mesh)==null?void 0:a.modelPath),xe=s0.inputs[0].shape?s0.inputs[0].shape[2]:0,s0}var $t=se,e3=Ye;var m0,v2=[],t3=0,o3=0,O5=Number.MAX_SAFE_INTEGER;async function n3(e){var t;return v.initial&&(m0=null),m0?e.debug&&u("cached model:",m0.modelUrl):m0=await L((t=e.face.description)==null?void 0:t.modelPath),m0}function L5(e){let t=e.image||e.tensor||e;if(!(m0!=null&&m0.inputs[0].shape))return t;let o=A.image.resizeBilinear(t,[m0.inputs[0].shape[2],m0.inputs[0].shape[1]],!1),n=A.mul(o,W.tf255);return A.dispose(o),n}async function W5(e,t,o,n){var a,i,l,x;if(!m0)return{age:0,gender:"unknown",genderScore:0,descriptor:[]};let r=O5<(((a=t.face.description)==null?void 0:a.skipFrames)||0),s=(((i=t.face.description)==null?void 0:i.skipTime)||0)>b()-t3;return t.skipAllowed&&r&&s&&o3===n&&((l=v2[o])==null?void 0:l.age)&&((x=v2[o])==null?void 0:x.age)>0?(O5++,v2[o]):(O5=0,new Promise(async d=>{var c,m;let y={age:0,gender:"unknown",genderScore:0,descriptor:[]};if((c=t.face.description)!=null&&c.enabled){let h=L5(e),p=m0==null?void 0:m0.execute(h);t3=b(),A.dispose(h);let P=await(await p.find(O=>O.shape[1]===1)).data(),g=Math.trunc(200*Math.abs(P[0]-.5))/100;g>(((m=t.face.description)==null?void 0:m.minConfidence)||0)&&(y.gender=P[0]<=.5?"female":"male",y.genderScore=Math.min(.99,g));let f=A.argMax(p.find(O=>O.shape[1]===100),1),M=(await f.data())[0];A.dispose(f);let k=await p.find(O=>O.shape[1]===100).data();y.age=Math.round(k[M-1]>k[M+1]?10*M-100*k[M-1]:10*M+100*k[M+1])/10;let I=p.find(O=>O.shape[1]===1024),j=I?await I.data():[];y.descriptor=Array.from(j),p.forEach(O=>A.dispose(O))}v2[o]=y,o3=n,d(y)}))}function w2(e){return[Math.abs(e.endPoint[0]-e.startPoint[0]),Math.abs(e.endPoint[1]-e.startPoint[1])]}function _e(e){return[e.startPoint[0]+(e.endPoint[0]-e.startPoint[0])/2,e.startPoint[1]+(e.endPoint[1]-e.startPoint[1])/2]}function s3(e,t,o){let n=t.shape[1],r=t.shape[2],s=[[e.startPoint[1]/n,e.startPoint[0]/r,e.endPoint[1]/n,e.endPoint[0]/r]];return A.image.cropAndResize(t,s,[0],o)}function a3(e,t){let o=[e.startPoint[0]*t[0],e.startPoint[1]*t[1]],n=[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:o,endPoint:n,palmLandmarks:r,confidence:e.confidence}}function k2(e,t=1.5){let o=_e(e),n=w2(e),r=[t*n[0]/2,t*n[1]/2],s=[o[0]-r[0],o[1]-r[1]],a=[o[0]+r[0],o[1]+r[1]];return{startPoint:s,endPoint:a,palmLandmarks:e.palmLandmarks}}function E2(e){let t=_e(e),o=w2(e),r=Math.max(...o)/2,s=[t[0]-r,t[1]-r],a=[t[0]+r,t[1]+r];return{startPoint:s,endPoint:a,palmLandmarks:e.palmLandmarks}}function En(e){return e-2*Math.PI*Math.floor((e+Math.PI)/(2*Math.PI))}function i3(e,t){let o=Math.PI/2-Math.atan2(-(t[1]-e[1]),t[0]-e[0]);return En(o)}var r3=(e,t)=>[[1,0,e],[0,1,t],[0,0,1]];function J0(e,t){let o=0;for(let n=0;n[o.x,o.y]),this.anchorsTensor=A.tensor2d(this.anchors),this.inputSize=this.model&&this.model.inputs&&this.model.inputs[0].shape?this.model.inputs[0].shape[2]:0,this.inputSizeTensor=A.tensor1d([this.inputSize,this.inputSize]),this.doubleInputSizeTensor=A.tensor1d([this.inputSize*2,this.inputSize*2])}normalizeBoxes(t){let o={};o.boxOffsets=A.slice(t,[0,0],[-1,2]),o.boxSizes=A.slice(t,[0,2],[-1,2]),o.div=A.div(o.boxOffsets,this.inputSizeTensor),o.boxCenterPoints=A.add(o.div,this.anchorsTensor),o.halfBoxSizes=A.div(o.boxSizes,this.doubleInputSizeTensor),o.sub=A.sub(o.boxCenterPoints,o.halfBoxSizes),o.startPoints=A.mul(o.sub,this.inputSizeTensor),o.add=A.add(o.boxCenterPoints,o.halfBoxSizes),o.endPoints=A.mul(o.add,this.inputSizeTensor);let n=A.concat2d([o.startPoints,o.endPoints],1);return Object.keys(o).forEach(r=>A.dispose(o[r])),n}normalizeLandmarks(t,o){let n={};n.reshape=A.reshape(t,[-1,7,2]),n.div=A.div(n.reshape,this.inputSizeTensor),n.landmarks=A.add(n.div,this.anchors[o]);let r=A.mul(n.landmarks,this.inputSizeTensor);return Object.keys(n).forEach(s=>A.dispose(n[s])),r}async predict(t,o){let n={};n.resize=A.image.resizeBilinear(t,[this.inputSize,this.inputSize]),n.div=A.div(n.resize,W.tf127),n.image=A.sub(n.div,W.tf1),n.batched=this.model.execute(n.image),n.predictions=A.squeeze(n.batched),n.slice=A.slice(n.predictions,[0,0],[-1,1]),n.sigmoid=A.sigmoid(n.slice),n.scores=A.squeeze(n.sigmoid);let r=await n.scores.data();n.boxes=A.slice(n.predictions,[0,1],[-1,4]),n.norm=this.normalizeBoxes(n.boxes),n.nms=await A.image.nonMaxSuppressionAsync(n.norm,n.scores,3*o.hand.maxDetected,o.hand.iouThreshold,o.hand.minConfidence);let s=await n.nms.array(),a=[];for(let i of s){let l={};l.box=A.slice(n.norm,[i,0],[1,-1]),l.slice=A.slice(n.predictions,[i,5],[1,14]),l.norm=this.normalizeLandmarks(l.slice,i),l.palmLandmarks=A.reshape(l.norm,[-1,2]);let x=await l.box.data(),d=x.slice(0,2),y=x.slice(2,4),c=await l.palmLandmarks.array(),m={startPoint:d,endPoint:y,palmLandmarks:c,confidence:r[i]},h=a3(m,[t.shape[2]/this.inputSize,t.shape[1]/this.inputSize]);a.push(h),Object.keys(l).forEach(p=>A.dispose(l[p]))}return Object.keys(n).forEach(i=>A.dispose(n[i])),a}};var jn=5,c3=1.65,d3=[0,5,9,13,17,1,2],In=0,Nn=2,f3=0,S2=class{constructor(t,o){w(this,"handDetector");w(this,"handPoseModel");w(this,"inputSize");w(this,"storedBoxes");w(this,"skipped");w(this,"detectedHands");this.handDetector=t,this.handPoseModel=o,this.inputSize=this.handPoseModel&&this.handPoseModel.inputs[0].shape?this.handPoseModel.inputs[0].shape[2]:0,this.storedBoxes=[],this.skipped=Number.MAX_SAFE_INTEGER,this.detectedHands=0}calculateLandmarksBoundingBox(t){let o=t.map(a=>a[0]),n=t.map(a=>a[1]),r=[Math.min(...o),Math.min(...n)],s=[Math.max(...o),Math.max(...n)];return{startPoint:r,endPoint:s}}getBoxForPalmLandmarks(t,o){let n=t.map(s=>B5([...s,1],o)),r=this.calculateLandmarksBoundingBox(n);return k2(E2(r),jn)}getBoxForHandLandmarks(t){let o=this.calculateLandmarksBoundingBox(t),n=k2(E2(o),c3);n.palmLandmarks=[];for(let r=0;r[a[0]*(m[0]-this.inputSize/2),a[1]*(m[1]-this.inputSize/2),a[2]*m[2]]),l=G5(n,[0,0]),x=i.map(m=>[...B5(m,l),m[2]]),d=l3(r),y=[..._e(o),1],c=[J0(y,d[0]),J0(y,d[1])];return x.map(m=>[Math.trunc(m[0]+c[0]),Math.trunc(m[1]+c[1]),Math.trunc(m[2])])}async estimateHands(t,o){let n=!1,r,s=(o.hand.skipTime||0)>b()-f3,a=this.skipped<(o.hand.skipFrames||0);o.skipAllowed&&s&&a&&(r=await this.handDetector.predict(t,o),this.skipped=0),o.skipAllowed&&this.skipped++,r&&r.length>0&&(r.length!==this.detectedHands&&this.detectedHands!==o.hand.maxDetected||!o.hand.landmarks)&&(this.detectedHands=0,this.storedBoxes=[...r],this.storedBoxes.length>0&&(n=!0));let i=[];for(let l=0;l=o.hand.minConfidence/4){let C=A.reshape(f,[-1,3]),k=await C.array();A.dispose(f),A.dispose(C);let I=this.transformRawCoords(k,p,d,h),j=this.getBoxForHandLandmarks(I);this.storedBoxes[l]={...j,confidence:M};let O={landmarks:I,confidence:M,boxConfidence:x.confidence,fingerConfidence:M,box:{topLeft:j.startPoint,bottomRight:j.endPoint}};i.push(O)}else this.storedBoxes[l]=null;A.dispose(f)}else{let d=k2(E2(x),c3),y={confidence:x.confidence,boxConfidence:x.confidence,fingerConfidence:0,box:{topLeft:d.startPoint,bottomRight:d.endPoint},landmarks:[]};i.push(y)}}return this.storedBoxes=this.storedBoxes.filter(l=>l!==null),this.detectedHands=i.length,i.length>o.hand.maxDetected&&(i.length=o.hand.maxDetected),i}};var x0={thumb:0,index:1,middle:2,ring:3,pinky:4,all:[0,1,2,3,4],nameMapping:{0:"thumb",1:"index",2:"middle",3:"ring",4:"pinky"},pointsMapping:{0:[[0,1],[1,2],[2,3],[3,4]],1:[[0,5],[5,6],[6,7],[7,8]],2:[[0,9],[9,10],[10,11],[11,12]],3:[[0,13],[13,14],[14,15],[15,16]],4:[[0,17],[17,18],[18,19],[19,20]]},getName:e=>x0.nameMapping[e],getPoints:e=>x0.pointsMapping[e]},_0={none:0,half:1,full:2,nameMapping:{0:"none",1:"half",2:"full"},getName:e=>_0.nameMapping[e]},K={verticalUp:0,verticalDown:1,horizontalLeft:2,horizontalRight:3,diagonalUpRight:4,diagonalUpLeft:5,diagonalDownRight:6,diagonalDownLeft:7,nameMapping:{0:"verticalUp",1:"verticalDown",2:"horizontalLeft",3:"horizontalRight",4:"diagonalUpRight",5:"diagonalUpLeft",6:"diagonalDownRight",7:"diagonalDownLeft"},getName:e=>K.nameMapping[e]},Q0=class{constructor(t){w(this,"name");w(this,"curls");w(this,"directions");w(this,"weights");w(this,"weightsRelative");this.name=t,this.curls={},this.directions={},this.weights=[1,1,1,1,1],this.weightsRelative=[1,1,1,1,1]}curl(t,o,n){typeof this.curls[t]=="undefined"&&(this.curls[t]=[]),this.curls[t].push([o,n])}direction(t,o,n){this.directions[t]||(this.directions[t]=[]),this.directions[t].push([o,n])}weight(t,o){this.weights[t]=o;let n=this.weights.reduce((r,s)=>r+s,0);this.weightsRelative=this.weights.map(r=>r*5/n)}matchAgainst(t,o){let n=0;for(let r in t){let s=t[r],a=this.curls[r];if(typeof a=="undefined"){n+=this.weightsRelative[r];continue}for(let[i,l]of a)if(s===i){n+=l*this.weightsRelative[r];break}}for(let r in o){let s=o[r],a=this.directions[r];if(typeof a=="undefined"){n+=this.weightsRelative[r];continue}for(let[i,l]of a)if(s===i){n+=l*this.weightsRelative[r];break}}return n/10}};var{thumb:v0,index:B0,middle:H0,ring:ce,pinky:de}=x0,{none:w0,half:Ln,full:k0}=_0,{verticalUp:ke,verticalDown:$A,horizontalLeft:H5,horizontalRight:Wn,diagonalUpRight:Fn,diagonalUpLeft:Ee,diagonalDownRight:e7,diagonalDownLeft:t7}=K,$0=new Q0("thumbs 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b3(e,t,o,n){let r;return n===Math.abs(e)?e>0?r=K.horizontalLeft:r=K.horizontalRight:n===Math.abs(t)?t>0?r=K.horizontalLeft:r=K.horizontalRight:o>0?r=K.horizontalLeft:r=K.horizontalRight,r}function g3(e,t,o,n){let r;return n===Math.abs(e)?e<0?r=K.verticalDown:r=K.verticalUp:n===Math.abs(t)?t<0?r=K.verticalDown:r=K.verticalUp:o<0?r=K.verticalDown:r=K.verticalUp,r}function Hn(e,t,o,n,r,s,a,i){let l,x=g3(e,t,o,n),d=b3(r,s,a,i);return x===K.verticalUp?d===K.horizontalLeft?l=K.diagonalUpLeft:l=K.diagonalUpRight:d===K.horizontalLeft?l=K.diagonalDownLeft:l=K.diagonalDownRight,l}function Vn(e,t,o,n){let r=e[0]-t[0],s=e[0]-o[0],a=t[0]-o[0],i=e[1]-t[1],l=e[1]-o[1],x=t[1]-o[1],d=Math.max(Math.abs(r),Math.abs(s),Math.abs(a)),y=Math.max(Math.abs(i),Math.abs(l),Math.abs(x)),c=0,m=0,h=0,p=y/(d+1e-5);p>1.5?c+=fe.DISTANCE_VOTE_POWER:p>.66?m+=fe.DISTANCE_VOTE_POWER:h+=fe.DISTANCE_VOTE_POWER;let R=Math.sqrt(r*r+i*i),P=Math.sqrt(s*s+l*l),g=Math.sqrt(a*a+x*x),f=Math.max(R,P,g),M=e[0],C=e[1],k=o[0],I=o[1];f===R?(k=o[0],I=o[1]):f===g&&(M=t[0],C=t[1]);let Z=h3([M,C],[k,I]),H=u3(Z,fe.TOTAL_ANGLE_VOTE_POWER);c+=H[0],m+=H[1],h+=H[2];for(let F of n){let z=u3(F,fe.SINGLE_ANGLE_VOTE_POWER);c+=z[0],m+=z[1],h+=z[2]}let D;return c===Math.max(c,m,h)?D=g3(l,i,x,y):h===Math.max(m,h)?D=b3(s,r,a,d):D=Hn(l,i,x,y,s,r,a,d),D}function P3(e){let t=[],o=[],n=[],r=[];if(!e)return{curls:n,directions:r};for(let s of x0.all){let a=x0.getPoints(s),i=[],l=[];for(let x of a){let d=e[x[0]],y=e[x[1]],c=h3(d,y),m=c[0],h=c[1];i.push(m),l.push(h)}t.push(i),o.push(l)}for(let s of x0.all){let a=s===x0.thumb?1:0,i=x0.getPoints(s),l=e[i[a][0]],x=e[i[a+1][1]],d=e[i[3][1]],y=Bn(l,x,d),c=Vn(l,x,d,t[s].slice(a));n[s]=y,r[s]=c}return{curls:n,directions:r}}function C2(e){if(!e||e.length===0)return null;let t=P3(e),o={};for(let n of 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i=o[r].box?[Math.trunc(Math.max(0,o[r].box.topLeft[0])),Math.trunc(Math.max(0,o[r].box.topLeft[1])),Math.trunc(Math.min(e.shape[2]||0,o[r].box.bottomRight[0])-Math.max(0,o[r].box.topLeft[0])),Math.trunc(Math.min(e.shape[1]||0,o[r].box.bottomRight[1])-Math.max(0,o[r].box.topLeft[1]))]:[0,0,0,0],l=[o[r].box.topLeft[0]/(e.shape[2]||0),o[r].box.topLeft[1]/(e.shape[1]||0),(o[r].box.bottomRight[0]-o[r].box.topLeft[0])/(e.shape[2]||0),(o[r].box.bottomRight[1]-o[r].box.topLeft[1])/(e.shape[1]||0)];let x=C2(a);n.push({id:r,score:Math.round(100*o[r].confidence)/100,boxScore:Math.round(100*o[r].boxConfidence)/100,fingerScore:Math.round(100*o[r].fingerConfidence)/100,label:"hand",box:i,boxRaw:l,keypoints:a,annotations:s,landmarks:x})}return n}async function Z5(e){var o,n;v.initial&&(Se=null,Ce=null),!Se||!Ce?[Se,Ce]=await Promise.all([e.hand.enabled?L((o=e.hand.detector)==null?void 0:o.modelPath):null,e.hand.landmarks?L((n=e.hand.skeleton)==null?void 0:n.modelPath):null]):(e.debug&&u("cached model:",Se.modelUrl),e.debug&&u("cached model:",Ce.modelUrl));let t=new z2(Se);return T3=new S2(t,Ce),[Se,Ce]}var o0=[null,null],Dn=["StatefulPartitionedCall/Postprocessor/Slice","StatefulPartitionedCall/Postprocessor/ExpandDims_1"],oe=[[0,0],[0,0]],Zn=["hand","fist","pinch","point","face","tip","pinchtip"],w3=4,k3=1.6,Xn=512,qn=1.4,j2=Number.MAX_SAFE_INTEGER,X5=0,V0=[0,0],Q={boxes:[],hands:[]},E3={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],base:[0],palm:[0,17,13,9,5,1,0]};async function z3(e){var t;if(v.initial&&(o0[0]=null),o0[0])e.debug&&u("cached model:",o0[0].modelUrl);else{I2(["tensorlistreserve","enter","tensorlistfromtensor","merge","loopcond","switch","exit","tensorliststack","nextiteration","tensorlistsetitem","tensorlistgetitem","reciprocal","shape","split","where"],e),o0[0]=await L((t=e.hand.detector)==null?void 0:t.modelPath);let 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i=A.unstack(n.scores,1);A.dispose(i[w3]),i.splice(w3,1),n.filtered=A.stack(i,1),A.dispose(i),n.max=A.max(n.filtered,1),n.argmax=A.argMax(n.filtered,1);let l=0;n.nms=await A.image.nonMaxSuppressionAsync(n.boxes,n.max,(t.hand.maxDetected||0)+1,t.hand.iouThreshold||0,t.hand.minConfidence||1);let x=await n.nms.data(),d=await n.max.data(),y=await n.argmax.data();for(let c of Array.from(x)){let m=A.slice(n.boxes,c,1),h=await m.data();A.dispose(m);let p=[h[1],h[0],h[3]-h[1],h[2]-h[0]],R=b2(p,qn),P=[Math.trunc(p[0]*V0[0]),Math.trunc(p[1]*V0[1]),Math.trunc(p[2]*V0[0]),Math.trunc(p[3]*V0[1])],g=d[c],f=Zn[y[c]],M={id:l++,score:g,box:P,boxRaw:R,label:f};o.push(M)}return Object.keys(n).forEach(c=>A.dispose(n[c])),o.sort((c,m)=>m.score-c.score),o.length>(t.hand.maxDetected||1)&&(o.length=t.hand.maxDetected||1),o}async function q5(e,t,o){let n={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&&o0[1]&&o.hand.landmarks&&t.score>(o.hand.minConfidence||0)){let r={},s=[t.boxRaw[1],t.boxRaw[0],t.boxRaw[3]+t.boxRaw[1],t.boxRaw[2]+t.boxRaw[0]];r.crop=A.image.cropAndResize(e,[s],[0],[oe[1][0],oe[1][1]],"bilinear"),r.div=A.div(r.crop,W.tf255),[r.score,r.keypoints]=o0[1].execute(r.div,["Identity_1","Identity"]);let a=(await r.score.data())[0],i=(100-Math.trunc(100/(1+Math.exp(a))))/100;if(i>=(o.hand.minConfidence||0)){n.fingerScore=i,r.reshaped=A.reshape(r.keypoints,[-1,3]);let d=(await r.reshaped.array()).map(y=>[y[0]/oe[1][1],y[1]/oe[1][0],y[2]||0]).map(y=>[y[0]*t.boxRaw[2],y[1]*t.boxRaw[3],y[2]||0]);n.keypoints=d.map(y=>[V0[0]*(y[0]+t.boxRaw[0]),V0[1]*(y[1]+t.boxRaw[1]),y[2]||0]),n.landmarks=C2(n.keypoints);for(let y of 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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]],o.pad=A.pad(e,p0.padding),o.resize=A.image.resizeBilinear(o.pad,[t,t]);let n=A.cast(o.resize,"int32");return Object.keys(o).forEach(r=>A.dispose(o[r])),n}function G3(e,t){e.keypoints=e.keypoints.filter(n=>n&&n.position);for(let n of e.keypoints)n.position=[n.position[0]*(t[0]+p0.padding[2][0]+p0.padding[2][1])/t[0]-p0.padding[2][0],n.position[1]*(t[1]+p0.padding[1][0]+p0.padding[1][1])/t[1]-p0.padding[1][0]],n.positionRaw=[n.position[0]/t[0],n.position[1]/t[1]];let o=W0(e.keypoints.map(n=>n.position),t);return e.box=o.box,e.boxRaw=o.boxRaw,e}var u0,W2=0,e1=Number.MAX_SAFE_INTEGER,me={boxes:[],bodies:[],last:0};async function B3(e){return v.initial&&(u0=null),u0?e.debug&&u("cached model:",u0.modelUrl):(I2(["size"],e),u0=await L(e.body.modelPath)),W2=u0.inputs[0].shape?u0.inputs[0].shape[2]:0,W2<64&&(W2=256),u0}async function Kn(e,t,o){let n=e[0][0],r=[],s=0;for(let d=0;dt.body.minConfidence){let y=[n[d][1],n[d][0]];r.push({score:Math.round(100*s)/100,part:O2[d],positionRaw:y,position:[Math.round((o.shape[2]||0)*y[0]),Math.round((o.shape[1]||0)*y[1])]})}s=r.reduce((d,y)=>y.score>d?y.score:d,0);let a=[],i=W0(r.map(d=>d.position),[o.shape[2],o.shape[1]]),l={};for(let[d,y]of Object.entries(L2)){let c=[];for(let m=0;mR.part===y[m]),p=r.find(R=>R.part===y[m+1]);h&&p&&h.score>(t.body.minConfidence||0)&&p.score>(t.body.minConfidence||0)&&c.push([h.position,p.position])}l[d]=c}let x={id:0,score:s,box:i.box,boxRaw:i.boxRaw,keypoints:r,annotations:l};return $5(x),a.push(x),a}async function Jn(e,t,o){let n=[];for(let r=0;rt.body.minConfidence){let i=[];for(let y=0;y<17;y++){let c=s[3*y+2];if(c>t.body.minConfidence){let m=[s[3*y+1],s[3*y+0]];i.push({part:O2[y],score:Math.round(100*c)/100,positionRaw:m,position:[Math.round((o.shape[2]||0)*m[0]),Math.round((o.shape[1]||0)*m[1])]})}}let l=W0(i.map(y=>y.position),[o.shape[2],o.shape[1]]),x={};for(let[y,c]of Object.entries(L2)){let m=[];for(let h=0;hP.part===c[h]),R=i.find(P=>P.part===c[h+1]);p&&R&&p.score>(t.body.minConfidence||0)&&R.score>(t.body.minConfidence||0)&&m.push([p.position,R.position])}x[y]=m}let d={id:r,score:a,box:l.box,boxRaw:l.boxRaw,keypoints:[...i],annotations:x};$5(d),n.push(d)}}return n.sort((r,s)=>s.score-r.score),n.length>t.body.maxDetected&&(n.length=t.body.maxDetected),n}async function t1(e,t){if(!u0||!(u0!=null&&u0.inputs[0].shape))return[];t.skipAllowed||(me.boxes.length=0),e1++;let o=(t.body.skipTime||0)>b()-me.last,n=e1<(t.body.skipFrames||0);return t.skipAllowed&&o&&n?me.bodies:new Promise(async r=>{let s={};e1=0,s.input=F3(e,W2),s.res=u0==null?void 0:u0.execute(s.input),me.last=b();let a=await s.res.array();me.bodies=s.res.shape[2]===17?await Kn(a,t,e):await Jn(a,t,e);for(let i of me.bodies)G3(i,[e.shape[2]||1,e.shape[1]||1]),W3(i.keypoints);Object.keys(s).forEach(i=>A.dispose(s[i])),r(me.bodies)})}var je,F2=[],V3=0,o1=Number.MAX_SAFE_INTEGER,B2=0,G2=2.5;async function D3(e){if(!je||v.initial){je=await L(e.object.modelPath);let t=Object.values(je.modelSignature.inputs);B2=Array.isArray(t)?parseInt(t[0].tensorShape.dim[2].size):0}else e.debug&&u("cached model:",je.modelUrl);return je}async function Qn(e,t,o){let n=0,r=[];for(let l of[1,2,4])A.tidy(async()=>{let x=l*13,d=A.squeeze(e.find(p=>p.shape[1]===x**2&&(p.shape[2]||0)===Te.length)),y=A.squeeze(e.find(p=>p.shape[1]===x**2&&(p.shape[2]||0)(o.object.minConfidence||0)&&R!==61){let g=(.5+Math.trunc(p%x))/x,f=(.5+Math.trunc(p/x))/x,M=m[p].map(D=>D*(x/l/B2)),[C,k]=[g-G2/l*M[0],f-G2/l*M[1]],[I,j]=[g+G2/l*M[2]-C,f+G2/l*M[3]-k],O=[C,k,I,j];O=O.map(D=>Math.max(0,Math.min(D,1)));let Z=[O[0]*t[0],O[1]*t[1],O[2]*t[0],O[3]*t[1]],H={id:n++,score:Math.round(100*P)/100,class:R+1,label:Te[R].label,box:Z.map(D=>Math.trunc(D)),boxRaw:O};r.push(H)}}});e.forEach(l=>A.dispose(l));let s=r.map(l=>[l.boxRaw[1],l.boxRaw[0],l.boxRaw[3],l.boxRaw[2]]),a=r.map(l=>l.score),i=[];if(s&&s.length>0){let l=await A.image.nonMaxSuppressionAsync(s,a,o.object.maxDetected,o.object.iouThreshold,o.object.minConfidence);i=await l.data(),A.dispose(l)}return r=r.filter((l,x)=>i.includes(x)).sort((l,x)=>x.score-l.score),r}async function n1(e,t){let o=(t.object.skipTime||0)>b()-V3,n=o1<(t.object.skipFrames||0);return t.skipAllowed&&o&&n&&F2.length>0?(o1++,F2):(o1=0,!v.kernels.includes("mod")||!v.kernels.includes("sparsetodense")?F2:new Promise(async r=>{let s=[e.shape[2]||0,e.shape[1]||0],a=A.image.resizeBilinear(e,[B2,B2],!1),i=A.div(a,W.tf255),l=i.transpose([0,3,1,2]);A.dispose(i),A.dispose(a);let x;t.object.enabled&&(x=je.execute(l)),V3=b(),A.dispose(l);let d=await Qn(x,s,t);F2=d,r(d)}))}var t2=["nose","leftEye","rightEye","leftEar","rightEar","leftShoulder","rightShoulder","leftElbow","rightElbow","leftWrist","rightWrist","leftHip","rightHip","leftKnee","rightKnee","leftAnkle","rightAnkle"],_n=t2.length,e2=t2.reduce((e,t,o)=>(e[t]=o,e),{}),$n=[["leftHip","leftShoulder"],["leftElbow","leftShoulder"],["leftElbow","leftWrist"],["leftHip","leftKnee"],["leftKnee","leftAnkle"],["rightHip","rightShoulder"],["rightElbow","rightShoulder"],["rightElbow","rightWrist"],["rightHip","rightKnee"],["rightKnee","rightAnkle"],["leftShoulder","rightShoulder"],["leftHip","rightHip"]],v7=$n.map(([e,t])=>[e2[e],e2[t]]),X3=[["nose","leftEye"],["leftEye","leftEar"],["nose","rightEye"],["rightEye","rightEar"],["nose","leftShoulder"],["leftShoulder","leftElbow"],["leftElbow","leftWrist"],["leftShoulder","leftHip"],["leftHip","leftKnee"],["leftKnee","leftAnkle"],["nose","rightShoulder"],["rightShoulder","rightElbow"],["rightElbow","rightWrist"],["rightShoulder","rightHip"],["rightHip","rightKnee"],["rightKnee","rightAnkle"]];function q3(e){let t=e.reduce(({maxX:o,maxY:n,minX:r,minY:s},{position:{x:a,y:i}})=>({maxX:Math.max(o,a),maxY:Math.max(n,i),minX:Math.min(r,a),minY:Math.min(s,i)}),{maxX:Number.NEGATIVE_INFINITY,maxY:Number.NEGATIVE_INFINITY,minX:Number.POSITIVE_INFINITY,minY:Number.POSITIVE_INFINITY});return[t.minX,t.minY,t.maxX-t.minX,t.maxY-t.minY]}function U3(e,[t,o],[n,r]){let s=t/n,a=o/r,i=(x,d)=>({id:d,score:x.score,boxRaw:[x.box[0]/r,x.box[1]/n,x.box[2]/r,x.box[3]/n],box:[Math.trunc(x.box[0]*a),Math.trunc(x.box[1]*s),Math.trunc(x.box[2]*a),Math.trunc(x.box[3]*s)],keypoints:x.keypoints.map(({score:y,part:c,position:m})=>({score:y,part:c,position:[Math.trunc(m.x*a),Math.trunc(m.y*s)],positionRaw:[m.x/n,m.y/n]})),annotations:{}});return e.map((x,d)=>i(x,d))}var H2=class{constructor(t,o){w(this,"priorityQueue");w(this,"numberOfElements");w(this,"getElementValue");this.priorityQueue=new Array(t),this.numberOfElements=-1,this.getElementValue=o}enqueue(t){this.priorityQueue[++this.numberOfElements]=t,this.swim(this.numberOfElements)}dequeue(){let t=this.priorityQueue[0];return this.exchange(0,this.numberOfElements--),this.sink(0),this.priorityQueue[this.numberOfElements+1]=null,t}empty(){return this.numberOfElements===-1}size(){return this.numberOfElements+1}all(){return this.priorityQueue.slice(0,this.numberOfElements+1)}max(){return this.priorityQueue[0]}swim(t){for(;t>0&&this.less(Math.floor(t/2),t);)this.exchange(t,Math.floor(t/2)),t=Math.floor(t/2)}sink(t){for(;2*t<=this.numberOfElements;){let o=2*t;if(oo?o:e}function Y3(e,t,o,n){let r=o-e,s=n-t;return r*r+s*s}function a1(e,t){return{x:e.x+t.x,y:e.y+t.y}}var E0,tr=["MobilenetV1/offset_2/BiasAdd","MobilenetV1/heatmap_2/BiasAdd","MobilenetV1/displacement_fwd_2/BiasAdd","MobilenetV1/displacement_bwd_2/BiasAdd"],V2=1,Ie=16,or=50**2;function K3(e,t,o,n,r,s,a=2){let 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u5=["nose","leftEyeInside","leftEye","leftEyeOutside","rightEyeInside","rightEye","rightEyeOutside","leftEar","rightEar","leftMouth","rightMouth","leftShoulder","rightShoulder","leftElbow","rightElbow","leftWrist","rightWrist","leftPinky","rightPinky","leftIndex","rightIndex","leftThumb","rightThumb","leftHip","rightHip","leftKnee","rightKnee","leftAnkle","rightAnkle","leftHeel","rightHeel","leftFoot","rightFoot","bodyCenter","bodyTop","leftPalm","leftHand","rightPalm","rightHand"],h5={shoulders:["leftShoulder","rightShoulder"],hips:["rightHip","leftHip"],mouth:["leftMouth","rightMouth"],leftLegUpper:["leftHip","leftKnee"],leftLegLower:["leftKnee","leftAnkle"],leftFoot:["leftAnkle","leftHeel","leftFoot"],leftTorso:["leftShoulder","leftHip"],leftArmUpper:["leftShoulder","leftElbow"],leftArmLower:["leftElbow","leftWrist"],leftHand:["leftWrist","leftPalm"],leftHandPinky:["leftPalm","leftPinky"],leftHandIndex:["leftPalm","leftIndex"],leftHandThumb:["leftPalm","leftThumb"],leftEyeOutline:["leftEyeInside","leftEyeOutside"],rightLegUpper:["rightHip","rightKnee"],rightLegLower:["rightKnee","rightAnkle"],rightFoot:["rightAnkle","rightHeel","rightFoot"],rightTorso:["rightShoulder","rightHip"],rightArmUpper:["rightShoulder","rightElbow"],rightArmLower:["rightElbow","rightWrist"],rightHand:["rightWrist","rightPalm"],rightHandPinky:["rightPalm","rightPinky"],rightHandIndex:["rightPalm","rightIndex"],rightHandThumb:["rightPalm","rightThumb"],rightEyeOutline:["rightEyeInside","rightEyeOutside"]};var 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Tt={initial:!0},d0={detector:null,landmarks:null},Re={detector:[224,224],landmarks:[256,256]},b5=Number.MAX_SAFE_INTEGER,sn={landmarks:["ld_3d","activation_segmentation","activation_heatmap","world_3d","output_poseflag"],detector:[]},P2=null,Je,U0=[[0,0],[0,0],[0,0],[0,0]],Mt=0,Rt=e=>1-1/(1+Math.exp(e));async function vt(e){if(Tt.initial&&(d0.detector=null),!d0.detector&&e.body.detector&&e.body.detector.modelPath){d0.detector=await L(e.body.detector.modelPath);let t=Object.values(d0.detector.modelSignature.inputs);Re.detector[0]=Array.isArray(t)?parseInt(t[0].tensorShape.dim[1].size):0,Re.detector[1]=Array.isArray(t)?parseInt(t[0].tensorShape.dim[2].size):0}else e.debug&&d0.detector&&u("cached model:",d0.detector.modelUrl);return await gt(),d0.detector}async function wt(e){if(Tt.initial&&(d0.landmarks=null),d0.landmarks)e.debug&&u("cached model:",d0.landmarks.modelUrl);else{d0.landmarks=await L(e.body.modelPath);let 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n.ld.data(),a=await n.world.data();Object.keys(n).forEach(p=>A.dispose(n[p]));let i=[],l=5;for(let p=0;pp.position),y=W0(d,[o[0],o[1]]),c={};for(let[p,R]of Object.entries(h5)){let P=[];for(let g=0;gC.part===R[g]),M=x.find(C=>C.part===R[g+1]);f&&M&&P.push([f.position,M.position])}c[p]=P}return{id:0,score:Math.trunc(100*r)/100,box:y.box,boxRaw:y.boxRaw,keypoints:x,annotations:c}}async function g5(e,t){let o=[e.shape[2]||0,e.shape[1]||0],n=(t.body.skipTime||0)>b()-Mt,r=b5<(t.body.skipFrames||0);if(t.skipAllowed&&n&&r&&P2!==null)b5++;else{let s={};s.landmarks=await an(e,256),P2=await xn(s.landmarks,t,o),Object.keys(s).forEach(a=>A.dispose(s[a])),Mt=b(),b5=0}return P2?[P2]:[]}var Te=[{class:1,label:"person"},{class:2,label:"bicycle"},{class:3,label:"car"},{class:4,label:"motorcycle"},{class:5,label:"airplane"},{class:6,label:"bus"},{class:7,label:"train"},{class:8,label:"truck"},{class:9,label:"boat"},{class:10,label:"traffic light"},{class:11,label:"fire hydrant"},{class:12,label:"stop 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drier"},{class:80,label:"toothbrush"}];var F0,ie=0,P5=[],Et=0,M5=Number.MAX_SAFE_INTEGER;async function zt(e){if(v.initial&&(F0=null),F0)e.debug&&u("cached model:",F0.modelUrl);else{F0=await L(e.object.modelPath);let t=Object.values(F0.modelSignature.inputs);ie=Array.isArray(t)?parseInt(t[0].tensorShape.dim[2].size):0}return F0}async function cn(e,t,o){if(!e)return[];let n={},r=[],s=await e.array();n.squeeze=A.squeeze(e);let a=A.split(n.squeeze,6,1);n.stack=A.stack([a[1],a[0],a[3],a[2]],1),n.boxes=A.squeeze(n.stack),n.scores=A.squeeze(a[4]),n.classes=A.squeeze(a[5]),A.dispose([e,...a]),n.nms=await A.image.nonMaxSuppressionAsync(n.boxes,n.scores,o.object.maxDetected,o.object.iouThreshold,o.object.minConfidence||0);let i=await n.nms.data(),l=0;for(let x of Array.from(i)){let d=Math.trunc(100*s[0][x][4])/100,y=s[0][x][5],c=Te[y].label,[m,h]=[s[0][x][0]/ie,s[0][x][1]/ie],p=[m,h,s[0][x][2]/ie-m,s[0][x][3]/ie-h],R=[Math.trunc(p[0]*t[0]),Math.trunc(p[1]*t[1]),Math.trunc(p[2]*t[0]),Math.trunc(p[3]*t[1])];r.push({id:l++,score:d,class:y,label:c,box:R,boxRaw:p})}return Object.keys(n).forEach(x=>A.dispose(n[x])),r}async function R5(e,t){let o=(t.object.skipTime||0)>b()-Et,n=M5<(t.object.skipFrames||0);return t.skipAllowed&&o&&n&&P5.length>0?(M5++,P5):(M5=0,new Promise(async r=>{let s=[e.shape[2]||0,e.shape[1]||0],a=A.image.resizeBilinear(e,[ie,ie]),i=t.object.enabled?F0==null?void 0:F0.execute(a,["tower_0/detections"]):null;Et=b(),A.dispose(a);let l=await cn(i,s,t);P5=l,r(l)}))}var M2={};ne(M2,{connected:()=>v5,kpt:()=>T5});var T5=["head","neck","rightShoulder","rightElbow","rightWrist","chest","leftShoulder","leftElbow","leftWrist","bodyCenter","rightHip","rightKnee","rightAnkle","leftHip","leftKnee","leftAnkle"],v5={leftLeg:["leftHip","leftKnee","leftAnkle"],rightLeg:["rightHip","rightKnee","rightAnkle"],torso:["leftShoulder","rightShoulder","rightHip","leftHip","leftShoulder"],leftArm:["leftShoulder","leftElbow","leftWrist"],rightArm:["rightShoulder","rightElbow","rightWrist"],head:[]};var A0,Ct=0,y0={id:0,keypoints:[],box:[0,0,0,0],boxRaw:[0,0,0,0],score:0,annotations:{}},w5=Number.MAX_SAFE_INTEGER;async function jt(e){return v.initial&&(A0=null),A0?e.debug&&u("cached model:",A0.modelUrl):A0=await L(e.body.modelPath),A0}async function dn(e,t){let[o,n]=e.shape,r=A.reshape(e,[n*o]),s=A.max(r,0),a=(await s.data())[0];if(A.dispose([r,s]),a>t){let i=A.argMax(r,0),l=A.mod(i,o),x=(await l.data())[0],d=A.div(i,A.scalar(o,"int32")),y=(await d.data())[0];return A.dispose([l,d]),[x,y,a]}return[0,0,a]}async function k5(e,t){let o=(t.body.skipTime||0)>b()-Ct,n=w5<(t.body.skipFrames||0);return t.skipAllowed&&o&&n&&Object.keys(y0.keypoints).length>0?(w5++,[y0]):(w5=0,new Promise(async r=>{var y;let s=A.tidy(()=>{if(!(A0!=null&&A0.inputs[0].shape))return null;let c=A.image.resizeBilinear(e,[A0.inputs[0].shape[2],A0.inputs[0].shape[1]],!1),m=A.mul(c,W.tf2);return A.sub(m,W.tf1)}),a;if(t.body.enabled&&(a=A0==null?void 0:A0.execute(s)),Ct=b(),A.dispose(s),a){y0.keypoints.length=0;let c=a.squeeze();A.dispose(a);let m=c.unstack(2);A.dispose(c);for(let h=0;h(((y=t.body)==null?void 0:y.minConfidence)||0)&&y0.keypoints.push({score:Math.round(100*P)/100,part:T5[h],positionRaw:[p/A0.inputs[0].shape[2],R/A0.inputs[0].shape[1]],position:[Math.round(e.shape[2]*p/A0.inputs[0].shape[2]),Math.round(e.shape[1]*R/A0.inputs[0].shape[1])]})}m.forEach(h=>A.dispose(h))}y0.score=y0.keypoints.reduce((c,m)=>m.score>c?m.score:c,0);let i=y0.keypoints.map(c=>c.position[0]),l=y0.keypoints.map(c=>c.position[1]);y0.box=[Math.min(...i),Math.min(...l),Math.max(...i)-Math.min(...i),Math.max(...l)-Math.min(...l)];let x=y0.keypoints.map(c=>c.positionRaw[0]),d=y0.keypoints.map(c=>c.positionRaw[1]);y0.boxRaw=[Math.min(...x),Math.min(...d),Math.max(...x)-Math.min(...x),Math.max(...d)-Math.min(...d)];for(let[c,m]of Object.entries(v5)){let h=[];for(let p=0;pg.part===m[p]),P=y0.keypoints.find(g=>g.part===m[p+1]);R&&P&&R.score>(t.body.minConfidence||0)&&P.score>(t.body.minConfidence||0)&&h.push([R.position,P.position])}y0.annotations[c]=h}r([y0])}))}var fn=["angry","disgust","fear","happy","sad","surprise","neutral"],g0,R2=[],Nt=0,Ot=0,E5=Number.MAX_SAFE_INTEGER;async function Lt(e){var t;return v.initial&&(g0=null),g0?e.debug&&u("cached model:",g0.modelUrl):g0=await L((t=e.face.emotion)==null?void 0:t.modelPath),g0}async function z5(e,t,o,n){var a,i;if(!g0)return[];let r=E5<(((a=t.face.emotion)==null?void 0:a.skipFrames)||0),s=(((i=t.face.emotion)==null?void 0:i.skipTime)||0)>b()-Ot;return t.skipAllowed&&s&&r&&Nt===n&&R2[o]&&R2[o].length>0?(E5++,R2[o]):(E5=0,new Promise(async l=>{var d,y;let x=[];if((d=t.face.emotion)!=null&&d.enabled){let c={},m=g0!=null&&g0.inputs[0].shape?g0.inputs[0].shape[2]:0;c.resize=A.image.resizeBilinear(e,[m,m],!1),c.channels=A.mul(c.resize,W.rgb),c.grayscale=A.sum(c.channels,3,!0),c.grayscaleSub=A.sub(c.grayscale,W.tf05),c.grayscaleMul=A.mul(c.grayscaleSub,W.tf2),c.emotion=g0==null?void 0:g0.execute(c.grayscaleMul),Ot=b();let h=await c.emotion.data();for(let p=0;p(((y=t.face.emotion)==null?void 0:y.minConfidence)||0)&&x.push({score:Math.min(.99,Math.trunc(100*h[p])/100),emotion:fn[p]});x.sort((p,R)=>R.score-p.score),Object.keys(c).forEach(p=>A.dispose(c[p]))}R2[o]=x,Nt=n,l(x)}))}var f0,S5=[],Ft=0,Gt=0,Bt=Number.MAX_SAFE_INTEGER;async function Ht(e){return v.initial&&(f0=null),f0?e.debug&&u("cached model:",f0.modelUrl):f0=await L(e.face.mobilefacenet.modelPath),f0}async function C5(e,t,o,n){var a,i;if(!f0)return[];let r=Bt<(((a=t.face.embedding)==null?void 0:a.skipFrames)||0),s=(((i=t.face.embedding)==null?void 0:i.skipTime)||0)>b()-Gt;return t.skipAllowed&&s&&r&&Ft===n&&S5[o]?(Bt++,S5[o]):new Promise(async l=>{var d;let x=[];if(((d=t.face.embedding)==null?void 0:d.enabled)&&(f0==null?void 0:f0.inputs[0].shape)){let y={};y.crop=A.image.resizeBilinear(e,[f0.inputs[0].shape[2],f0.inputs[0].shape[1]],!1),y.data=f0==null?void 0:f0.execute(y.crop);let c=await y.data.data();x=Array.from(c)}S5[o]=x,Ft=n,Gt=b(),l(x)})}var G0,Y0=0,mn=2.3,j5=T0.leftEyeLower0,I5=T0.rightEyeLower0,ve={leftBounds:[j5[0],j5[j5.length-1]],rightBounds:[I5[0],I5[I5.length-1]]},we={upperCenter:3,lowerCenter:4,index:71,numCoordinates:76};async function qt(e){var t;return v.initial&&(G0=null),G0?e.debug&&u("cached model:",G0.modelUrl):G0=await L((t=e.face.iris)==null?void 0:t.modelPath),Y0=G0.inputs[0].shape?G0.inputs[0].shape[2]:0,Y0===-1&&(Y0=64),G0}function T2(e,t,o,n){for(let r=0;r{let t=e[ve.leftBounds[0]][2],o=e[ve.rightBounds[0]][2];return t-o},Dt=(e,t,o,n,r,s=!1)=>{let a=p2(m2(it([e[o],e[n]]),mn)),i=Pe(a),l=A.image.cropAndResize(t,[[a.startPoint[1]/r,a.startPoint[0]/r,a.endPoint[1]/r,a.endPoint[0]/r]],[0],[Y0,Y0]);if(s&&v.kernels.includes("flipleftright")){let x=A.image.flipLeftRight(l);A.dispose(l),l=x}return{box:a,boxSize:i,crop:l}},Zt=(e,t,o,n=!1)=>{let r=[];for(let s=0;s{let n=e[T0[`${o}EyeUpper0`][we.upperCenter]][2],r=e[T0[`${o}EyeLower0`][we.lowerCenter]][2],s=(n+r)/2;return t.map((a,i)=>{let l=s;return i===2?l=n:i===4&&(l=r),[a[0],a[1],l]})};async function Ut(e,t,o,n){if(!G0)return o.debug&&u("face mesh iris detection requested, but model is not 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un=[[61,146],[146,91],[91,181],[181,84],[84,17],[17,314],[314,405],[405,321],[321,375],[375,291],[61,185],[185,40],[40,39],[39,37],[37,0],[0,267],[267,269],[269,270],[270,409],[409,291],[78,95],[95,88],[88,178],[178,87],[87,14],[14,317],[317,402],[402,318],[318,324],[324,308],[78,191],[191,80],[80,81],[81,82],[82,13],[13,312],[312,311],[311,310],[310,415],[415,308]],hn=[[263,249],[249,390],[390,373],[373,374],[374,380],[380,381],[381,382],[382,362],[263,466],[466,388],[388,387],[387,386],[386,385],[385,384],[384,398],[398,362]],bn=[[276,283],[283,282],[282,295],[295,285],[300,293],[293,334],[334,296],[296,336]],gn=[[474,475],[475,476],[476,477],[477,474]],Pn=[[33,7],[7,163],[163,144],[144,145],[145,153],[153,154],[154,155],[155,133],[33,246],[246,161],[161,160],[160,159],[159,158],[158,157],[157,173],[173,133]],Mn=[[46,53],[53,52],[52,65],[65,55],[70,63],[63,105],[105,66],[66,107]],Rn=[[469,470],[470,471],[471,472],[472,469]],Tn=[[10,338],[338,297],[297,332],[332,284],[284,251],[251,389],[389,356],[356,454],[454,323],[323,361],[361,288],[288,397],[397,365],[365,379],[379,378],[378,400],[400,377],[377,152],[152,148],[148,176],[176,149],[149,150],[150,136],[136,172],[172,58],[58,132],[132,93],[93,234],[234,127],[127,162],[162,21],[21,54],[54,103],[103,67],[67,109],[109,10]];function K0(e){let t=e.map(o=>o[0]);return t.push(e[e.length-1][1]),t}var vn={lips:K0(un),leftEye:K0(hn),leftEyebrow:K0(bn),leftIris:K0(gn),rightEye:K0(Pn),rightEyebrow:K0(Mn),rightIris:K0(Rn),faceOval:K0(Tn)},wn=Object.entries(vn).map(([e,t])=>t.map(o=>[o,e])).flat(),FA=new Map(wn),Qe=[61,146,91,181,84,17,314,405,321,375,291,185,40,39,37,0,267,269,270,409,78,95,88,178,87,14,317,402,318,324,308,191,80,81,82,13,312,311,310,415,76,77,90,180,85,16,315,404,320,307,306,184,74,73,72,11,302,303,304,408,62,96,89,179,86,15,316,403,319,325,292,183,42,41,38,12,268,271,272,407],le=[33,7,163,144,145,153,154,155,133,246,161,160,159,158,157,173,130,25,110,24,23,22,26,112,243,247,30,29,27,28,56,190,226,31,228,229,230,231,232,233,244,113,225,224,223,222,221,189,35,124,46,53,52,65,143,111,117,118,119,120,121,128,245,156,70,63,105,66,107,55,193],ye=[263,249,390,373,374,380,381,382,362,466,388,387,386,385,384,398,359,255,339,254,253,252,256,341,463,467,260,259,257,258,286,414,446,261,448,449,450,451,452,453,464,342,445,444,443,442,441,413,265,353,276,283,282,295,372,340,346,347,348,349,350,357,465,383,300,293,334,296,336,285,417];async function Jt(e,t){let o={lips:await t.filter(s=>s.size===160)[0].data(),irisL:await t.filter(s=>s.size===10)[0].data(),eyeL:await t.filter(s=>s.size===142)[0].data(),irisR:await t.filter(s=>s.size===10)[1].data(),eyeR:await t.filter(s=>s.size===142)[1].data()},n=le.reduce((s,a)=>s+=e[a][2],0)/le.length;for(let s=0;ss+=e[a][2],0)/ye.length;for(let s=0;sb()-S0.timestamp,n=S0.skipped<(((l=t.face.detector)==null?void 0:l.skipFrames)||0);!t.skipAllowed||!o||!n||S0.boxes.length===0?(S0.boxes=await ut(e,t),S0.timestamp=b(),S0.skipped=0):S0.skipped++;let r=[],s=[],a=0;for(let g=0;gF.shape[F.shape.length-1]===1),O=I.find(F=>F.shape[F.shape.length-1]===1404),Z=await j.data();k.faceScore=Math.round(100*Z[0])/100;let H=A.reshape(O,[-1,3]),D=await H.array();if(k.faceScore<(((m=t.face.detector)==null?void 0:m.minConfidence)||1)){if(f.confidence=k.faceScore,(h=t.face.mesh)!=null&&h.keepInvalid){k.box=d2(f,e),k.boxRaw=f2(f,e),k.score=k.boxScore,k.mesh=f.landmarks.map(F=>[(f.startPoint[0]+f.endPoint[0])/2+(f.endPoint[0]+f.startPoint[0])*F[0]/Me(),(f.startPoint[1]+f.endPoint[1])/2+(f.endPoint[1]+f.startPoint[1])*F[1]/Me()]),k.meshRaw=k.mesh.map(F=>[F[0]/(e.shape[2]||0),F[1]/(e.shape[1]||0),(F[2]||0)/xe]);for(let F of Object.keys(Ae))k.annotations[F]=[k.mesh[Ae[F]]]}}else{(p=t.face.attention)!=null&&p.enabled?D=await Jt(D,I):(R=t.face.iris)!=null&&R.enabled&&(D=await Ut(D,k.tensor,t,xe)),k.mesh=xt(D,f,M,C,xe),k.meshRaw=k.mesh.map(z=>[z[0]/(e.shape[2]||0),z[1]/(e.shape[1]||0),(z[2]||0)/xe]);for(let z of Object.keys(T0))k.annotations[z]=T0[z].map(h0=>k.mesh[h0]);k.score=k.faceScore;let F={...dt(k.mesh,f),confidence:f.confidence,landmarks:f.landmarks};k.box=d2(F,e),k.boxRaw=f2(F,e),s.push(F)}A.dispose([...I,H])}else{k.box=d2(f,e),k.boxRaw=f2(f,e),k.score=k.boxScore,k.mesh=f.landmarks.map(I=>[(f.startPoint[0]+f.endPoint[0])/2+(f.endPoint[0]+f.startPoint[0])*I[0]/Me(),(f.startPoint[1]+f.endPoint[1])/2+(f.endPoint[1]+f.startPoint[1])*I[1]/Me()]),k.meshRaw=k.mesh.map(I=>[I[0]/(e.shape[2]||0),I[1]/(e.shape[1]||0),(I[2]||0)/xe]);for(let I of Object.keys(Ae))k.annotations[I]=[k.mesh[Ae[I]]]}k.score>(((P=t.face.detector)==null?void 0:P.minConfidence)||1)?r.push(k):A.dispose(k.tensor)}return S0.boxes=s,r}async function _t(e){var t,o,n,r,s,a;return v.initial&&(s0=null),((o=(t=e==null?void 0:e.face)==null?void 0:t.attention)==null?void 0:o.enabled)&&(s0==null?void 0:s0.signature)&&Object.keys(((n=s0==null?void 0:s0.signature)==null?void 0:n.outputs)||{}).length<6&&(s0=null),s0?e.debug&&u("cached model:",s0.modelUrl):(r=e.face.attention)!=null&&r.enabled?s0=await L((s=e.face.attention)==null?void 0:s.modelPath):s0=await L((a=e.face.mesh)==null?void 0:a.modelPath),xe=s0.inputs[0].shape?s0.inputs[0].shape[2]:0,s0}var $t=se,e3=Ye;var m0,v2=[],t3=0,o3=0,O5=Number.MAX_SAFE_INTEGER;async function n3(e){var t;return v.initial&&(m0=null),m0?e.debug&&u("cached model:",m0.modelUrl):m0=await L((t=e.face.description)==null?void 0:t.modelPath),m0}function L5(e){let t=e.image||e.tensor||e;if(!(m0!=null&&m0.inputs[0].shape))return t;let o=A.image.resizeBilinear(t,[m0.inputs[0].shape[2],m0.inputs[0].shape[1]],!1),n=A.mul(o,W.tf255);return A.dispose(o),n}async function W5(e,t,o,n){var a,i,l,x;if(!m0)return{age:0,gender:"unknown",genderScore:0,descriptor:[]};let r=O5<(((a=t.face.description)==null?void 0:a.skipFrames)||0),s=(((i=t.face.description)==null?void 0:i.skipTime)||0)>b()-t3;return t.skipAllowed&&r&&s&&o3===n&&((l=v2[o])==null?void 0:l.age)&&((x=v2[o])==null?void 0:x.age)>0?(O5++,v2[o]):(O5=0,new Promise(async d=>{var c,m;let y={age:0,gender:"unknown",genderScore:0,descriptor:[]};if((c=t.face.description)!=null&&c.enabled){let h=L5(e),p=m0==null?void 0:m0.execute(h);t3=b(),A.dispose(h);let P=await(await p.find(O=>O.shape[1]===1)).data(),g=Math.trunc(200*Math.abs(P[0]-.5))/100;g>(((m=t.face.description)==null?void 0:m.minConfidence)||0)&&(y.gender=P[0]<=.5?"female":"male",y.genderScore=Math.min(.99,g));let f=A.argMax(p.find(O=>O.shape[1]===100),1),M=(await f.data())[0];A.dispose(f);let k=await p.find(O=>O.shape[1]===100).data();y.age=Math.round(k[M-1]>k[M+1]?10*M-100*k[M-1]:10*M+100*k[M+1])/10;let I=p.find(O=>O.shape[1]===1024),j=I?await I.data():[];y.descriptor=Array.from(j),p.forEach(O=>A.dispose(O))}v2[o]=y,o3=n,d(y)}))}function w2(e){return[Math.abs(e.endPoint[0]-e.startPoint[0]),Math.abs(e.endPoint[1]-e.startPoint[1])]}function _e(e){return[e.startPoint[0]+(e.endPoint[0]-e.startPoint[0])/2,e.startPoint[1]+(e.endPoint[1]-e.startPoint[1])/2]}function s3(e,t,o){let n=t.shape[1],r=t.shape[2],s=[[e.startPoint[1]/n,e.startPoint[0]/r,e.endPoint[1]/n,e.endPoint[0]/r]];return A.image.cropAndResize(t,s,[0],o)}function a3(e,t){let o=[e.startPoint[0]*t[0],e.startPoint[1]*t[1]],n=[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:o,endPoint:n,palmLandmarks:r,confidence:e.confidence}}function k2(e,t=1.5){let o=_e(e),n=w2(e),r=[t*n[0]/2,t*n[1]/2],s=[o[0]-r[0],o[1]-r[1]],a=[o[0]+r[0],o[1]+r[1]];return{startPoint:s,endPoint:a,palmLandmarks:e.palmLandmarks}}function E2(e){let t=_e(e),o=w2(e),r=Math.max(...o)/2,s=[t[0]-r,t[1]-r],a=[t[0]+r,t[1]+r];return{startPoint:s,endPoint:a,palmLandmarks:e.palmLandmarks}}function En(e){return e-2*Math.PI*Math.floor((e+Math.PI)/(2*Math.PI))}function i3(e,t){let o=Math.PI/2-Math.atan2(-(t[1]-e[1]),t[0]-e[0]);return En(o)}var r3=(e,t)=>[[1,0,e],[0,1,t],[0,0,1]];function J0(e,t){let o=0;for(let n=0;n[o.x,o.y]),this.anchorsTensor=A.tensor2d(this.anchors),this.inputSize=this.model&&this.model.inputs&&this.model.inputs[0].shape?this.model.inputs[0].shape[2]:0,this.inputSizeTensor=A.tensor1d([this.inputSize,this.inputSize]),this.doubleInputSizeTensor=A.tensor1d([this.inputSize*2,this.inputSize*2])}normalizeBoxes(t){let o={};o.boxOffsets=A.slice(t,[0,0],[-1,2]),o.boxSizes=A.slice(t,[0,2],[-1,2]),o.div=A.div(o.boxOffsets,this.inputSizeTensor),o.boxCenterPoints=A.add(o.div,this.anchorsTensor),o.halfBoxSizes=A.div(o.boxSizes,this.doubleInputSizeTensor),o.sub=A.sub(o.boxCenterPoints,o.halfBoxSizes),o.startPoints=A.mul(o.sub,this.inputSizeTensor),o.add=A.add(o.boxCenterPoints,o.halfBoxSizes),o.endPoints=A.mul(o.add,this.inputSizeTensor);let n=A.concat2d([o.startPoints,o.endPoints],1);return Object.keys(o).forEach(r=>A.dispose(o[r])),n}normalizeLandmarks(t,o){let n={};n.reshape=A.reshape(t,[-1,7,2]),n.div=A.div(n.reshape,this.inputSizeTensor),n.landmarks=A.add(n.div,this.anchors[o]);let r=A.mul(n.landmarks,this.inputSizeTensor);return Object.keys(n).forEach(s=>A.dispose(n[s])),r}async predict(t,o){let n={};n.resize=A.image.resizeBilinear(t,[this.inputSize,this.inputSize]),n.div=A.div(n.resize,W.tf127),n.image=A.sub(n.div,W.tf1),n.batched=this.model.execute(n.image),n.predictions=A.squeeze(n.batched),n.slice=A.slice(n.predictions,[0,0],[-1,1]),n.sigmoid=A.sigmoid(n.slice),n.scores=A.squeeze(n.sigmoid);let r=await n.scores.data();n.boxes=A.slice(n.predictions,[0,1],[-1,4]),n.norm=this.normalizeBoxes(n.boxes),n.nms=await A.image.nonMaxSuppressionAsync(n.norm,n.scores,3*o.hand.maxDetected,o.hand.iouThreshold,o.hand.minConfidence);let s=await n.nms.array(),a=[];for(let i of s){let l={};l.box=A.slice(n.norm,[i,0],[1,-1]),l.slice=A.slice(n.predictions,[i,5],[1,14]),l.norm=this.normalizeLandmarks(l.slice,i),l.palmLandmarks=A.reshape(l.norm,[-1,2]);let x=await l.box.data(),d=x.slice(0,2),y=x.slice(2,4),c=await l.palmLandmarks.array(),m={startPoint:d,endPoint:y,palmLandmarks:c,confidence:r[i]},h=a3(m,[t.shape[2]/this.inputSize,t.shape[1]/this.inputSize]);a.push(h),Object.keys(l).forEach(p=>A.dispose(l[p]))}return Object.keys(n).forEach(i=>A.dispose(n[i])),a}};var jn=5,c3=1.65,d3=[0,5,9,13,17,1,2],In=0,Nn=2,f3=0,S2=class{constructor(t,o){w(this,"handDetector");w(this,"handPoseModel");w(this,"inputSize");w(this,"storedBoxes");w(this,"skipped");w(this,"detectedHands");this.handDetector=t,this.handPoseModel=o,this.inputSize=this.handPoseModel&&this.handPoseModel.inputs[0].shape?this.handPoseModel.inputs[0].shape[2]:0,this.storedBoxes=[],this.skipped=Number.MAX_SAFE_INTEGER,this.detectedHands=0}calculateLandmarksBoundingBox(t){let o=t.map(a=>a[0]),n=t.map(a=>a[1]),r=[Math.min(...o),Math.min(...n)],s=[Math.max(...o),Math.max(...n)];return{startPoint:r,endPoint:s}}getBoxForPalmLandmarks(t,o){let n=t.map(s=>B5([...s,1],o)),r=this.calculateLandmarksBoundingBox(n);return k2(E2(r),jn)}getBoxForHandLandmarks(t){let o=this.calculateLandmarksBoundingBox(t),n=k2(E2(o),c3);n.palmLandmarks=[];for(let r=0;r[a[0]*(m[0]-this.inputSize/2),a[1]*(m[1]-this.inputSize/2),a[2]*m[2]]),l=G5(n,[0,0]),x=i.map(m=>[...B5(m,l),m[2]]),d=l3(r),y=[..._e(o),1],c=[J0(y,d[0]),J0(y,d[1])];return x.map(m=>[Math.trunc(m[0]+c[0]),Math.trunc(m[1]+c[1]),Math.trunc(m[2])])}async estimateHands(t,o){let n=!1,r,s=(o.hand.skipTime||0)>b()-f3,a=this.skipped<(o.hand.skipFrames||0);o.skipAllowed&&s&&a&&(r=await this.handDetector.predict(t,o),this.skipped=0),o.skipAllowed&&this.skipped++,r&&r.length>0&&(r.length!==this.detectedHands&&this.detectedHands!==o.hand.maxDetected||!o.hand.landmarks)&&(this.detectedHands=0,this.storedBoxes=[...r],this.storedBoxes.length>0&&(n=!0));let i=[];for(let l=0;l=o.hand.minConfidence/4){let C=A.reshape(f,[-1,3]),k=await C.array();A.dispose(f),A.dispose(C);let I=this.transformRawCoords(k,p,d,h),j=this.getBoxForHandLandmarks(I);this.storedBoxes[l]={...j,confidence:M};let O={landmarks:I,confidence:M,boxConfidence:x.confidence,fingerConfidence:M,box:{topLeft:j.startPoint,bottomRight:j.endPoint}};i.push(O)}else this.storedBoxes[l]=null;A.dispose(f)}else{let d=k2(E2(x),c3),y={confidence:x.confidence,boxConfidence:x.confidence,fingerConfidence:0,box:{topLeft:d.startPoint,bottomRight:d.endPoint},landmarks:[]};i.push(y)}}return this.storedBoxes=this.storedBoxes.filter(l=>l!==null),this.detectedHands=i.length,i.length>o.hand.maxDetected&&(i.length=o.hand.maxDetected),i}};var x0={thumb:0,index:1,middle:2,ring:3,pinky:4,all:[0,1,2,3,4],nameMapping:{0:"thumb",1:"index",2:"middle",3:"ring",4:"pinky"},pointsMapping:{0:[[0,1],[1,2],[2,3],[3,4]],1:[[0,5],[5,6],[6,7],[7,8]],2:[[0,9],[9,10],[10,11],[11,12]],3:[[0,13],[13,14],[14,15],[15,16]],4:[[0,17],[17,18],[18,19],[19,20]]},getName:e=>x0.nameMapping[e],getPoints:e=>x0.pointsMapping[e]},_0={none:0,half:1,full:2,nameMapping:{0:"none",1:"half",2:"full"},getName:e=>_0.nameMapping[e]},K={verticalUp:0,verticalDown:1,horizontalLeft:2,horizontalRight:3,diagonalUpRight:4,diagonalUpLeft:5,diagonalDownRight:6,diagonalDownLeft:7,nameMapping:{0:"verticalUp",1:"verticalDown",2:"horizontalLeft",3:"horizontalRight",4:"diagonalUpRight",5:"diagonalUpLeft",6:"diagonalDownRight",7:"diagonalDownLeft"},getName:e=>K.nameMapping[e]},Q0=class{constructor(t){w(this,"name");w(this,"curls");w(this,"directions");w(this,"weights");w(this,"weightsRelative");this.name=t,this.curls={},this.directions={},this.weights=[1,1,1,1,1],this.weightsRelative=[1,1,1,1,1]}curl(t,o,n){typeof this.curls[t]=="undefined"&&(this.curls[t]=[]),this.curls[t].push([o,n])}direction(t,o,n){this.directions[t]||(this.directions[t]=[]),this.directions[t].push([o,n])}weight(t,o){this.weights[t]=o;let n=this.weights.reduce((r,s)=>r+s,0);this.weightsRelative=this.weights.map(r=>r*5/n)}matchAgainst(t,o){let n=0;for(let r in t){let s=t[r],a=this.curls[r];if(typeof a=="undefined"){n+=this.weightsRelative[r];continue}for(let[i,l]of a)if(s===i){n+=l*this.weightsRelative[r];break}}for(let r in o){let s=o[r],a=this.directions[r];if(typeof a=="undefined"){n+=this.weightsRelative[r];continue}for(let[i,l]of a)if(s===i){n+=l*this.weightsRelative[r];break}}return n/10}};var{thumb:v0,index:B0,middle:H0,ring:ce,pinky:de}=x0,{none:w0,half:Ln,full:k0}=_0,{verticalUp:ke,verticalDown:$A,horizontalLeft:H5,horizontalRight:Wn,diagonalUpRight:Fn,diagonalUpLeft:Ee,diagonalDownRight:e7,diagonalDownLeft:t7}=K,$0=new Q0("thumbs 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b3(e,t,o,n){let r;return n===Math.abs(e)?e>0?r=K.horizontalLeft:r=K.horizontalRight:n===Math.abs(t)?t>0?r=K.horizontalLeft:r=K.horizontalRight:o>0?r=K.horizontalLeft:r=K.horizontalRight,r}function g3(e,t,o,n){let r;return n===Math.abs(e)?e<0?r=K.verticalDown:r=K.verticalUp:n===Math.abs(t)?t<0?r=K.verticalDown:r=K.verticalUp:o<0?r=K.verticalDown:r=K.verticalUp,r}function Hn(e,t,o,n,r,s,a,i){let l,x=g3(e,t,o,n),d=b3(r,s,a,i);return x===K.verticalUp?d===K.horizontalLeft?l=K.diagonalUpLeft:l=K.diagonalUpRight:d===K.horizontalLeft?l=K.diagonalDownLeft:l=K.diagonalDownRight,l}function Vn(e,t,o,n){let r=e[0]-t[0],s=e[0]-o[0],a=t[0]-o[0],i=e[1]-t[1],l=e[1]-o[1],x=t[1]-o[1],d=Math.max(Math.abs(r),Math.abs(s),Math.abs(a)),y=Math.max(Math.abs(i),Math.abs(l),Math.abs(x)),c=0,m=0,h=0,p=y/(d+1e-5);p>1.5?c+=fe.DISTANCE_VOTE_POWER:p>.66?m+=fe.DISTANCE_VOTE_POWER:h+=fe.DISTANCE_VOTE_POWER;let R=Math.sqrt(r*r+i*i),P=Math.sqrt(s*s+l*l),g=Math.sqrt(a*a+x*x),f=Math.max(R,P,g),M=e[0],C=e[1],k=o[0],I=o[1];f===R?(k=o[0],I=o[1]):f===g&&(M=t[0],C=t[1]);let Z=h3([M,C],[k,I]),H=u3(Z,fe.TOTAL_ANGLE_VOTE_POWER);c+=H[0],m+=H[1],h+=H[2];for(let F of n){let z=u3(F,fe.SINGLE_ANGLE_VOTE_POWER);c+=z[0],m+=z[1],h+=z[2]}let D;return c===Math.max(c,m,h)?D=g3(l,i,x,y):h===Math.max(m,h)?D=b3(s,r,a,d):D=Hn(l,i,x,y,s,r,a,d),D}function P3(e){let t=[],o=[],n=[],r=[];if(!e)return{curls:n,directions:r};for(let s of x0.all){let a=x0.getPoints(s),i=[],l=[];for(let x of a){let d=e[x[0]],y=e[x[1]],c=h3(d,y),m=c[0],h=c[1];i.push(m),l.push(h)}t.push(i),o.push(l)}for(let s of x0.all){let a=s===x0.thumb?1:0,i=x0.getPoints(s),l=e[i[a][0]],x=e[i[a+1][1]],d=e[i[3][1]],y=Bn(l,x,d),c=Vn(l,x,d,t[s].slice(a));n[s]=y,r[s]=c}return{curls:n,directions:r}}function C2(e){if(!e||e.length===0)return null;let t=P3(e),o={};for(let n of 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i=o[r].box?[Math.trunc(Math.max(0,o[r].box.topLeft[0])),Math.trunc(Math.max(0,o[r].box.topLeft[1])),Math.trunc(Math.min(e.shape[2]||0,o[r].box.bottomRight[0])-Math.max(0,o[r].box.topLeft[0])),Math.trunc(Math.min(e.shape[1]||0,o[r].box.bottomRight[1])-Math.max(0,o[r].box.topLeft[1]))]:[0,0,0,0],l=[o[r].box.topLeft[0]/(e.shape[2]||0),o[r].box.topLeft[1]/(e.shape[1]||0),(o[r].box.bottomRight[0]-o[r].box.topLeft[0])/(e.shape[2]||0),(o[r].box.bottomRight[1]-o[r].box.topLeft[1])/(e.shape[1]||0)];let x=C2(a);n.push({id:r,score:Math.round(100*o[r].confidence)/100,boxScore:Math.round(100*o[r].boxConfidence)/100,fingerScore:Math.round(100*o[r].fingerConfidence)/100,label:"hand",box:i,boxRaw:l,keypoints:a,annotations:s,landmarks:x})}return n}async function Z5(e){var o,n;v.initial&&(Se=null,Ce=null),!Se||!Ce?[Se,Ce]=await Promise.all([e.hand.enabled?L((o=e.hand.detector)==null?void 0:o.modelPath):null,e.hand.landmarks?L((n=e.hand.skeleton)==null?void 0:n.modelPath):null]):(e.debug&&u("cached model:",Se.modelUrl),e.debug&&u("cached model:",Ce.modelUrl));let t=new z2(Se);return T3=new S2(t,Ce),[Se,Ce]}var o0=[null,null],Dn=["StatefulPartitionedCall/Postprocessor/Slice","StatefulPartitionedCall/Postprocessor/ExpandDims_1"],oe=[[0,0],[0,0]],Zn=["hand","fist","pinch","point","face","tip","pinchtip"],w3=4,k3=1.6,Xn=512,qn=1.4,j2=Number.MAX_SAFE_INTEGER,X5=0,V0=[0,0],Q={boxes:[],hands:[]},E3={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],base:[0],palm:[0,17,13,9,5,1,0]};async function z3(e){var t;if(v.initial&&(o0[0]=null),o0[0])e.debug&&u("cached model:",o0[0].modelUrl);else{I2(["tensorlistreserve","enter","tensorlistfromtensor","merge","loopcond","switch","exit","tensorliststack","nextiteration","tensorlistsetitem","tensorlistgetitem","reciprocal","shape","split","where"],e),o0[0]=await L((t=e.hand.detector)==null?void 0:t.modelPath);let 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i=A.unstack(n.scores,1);A.dispose(i[w3]),i.splice(w3,1),n.filtered=A.stack(i,1),A.dispose(i),n.max=A.max(n.filtered,1),n.argmax=A.argMax(n.filtered,1);let l=0;n.nms=await A.image.nonMaxSuppressionAsync(n.boxes,n.max,(t.hand.maxDetected||0)+1,t.hand.iouThreshold||0,t.hand.minConfidence||1);let x=await n.nms.data(),d=await n.max.data(),y=await n.argmax.data();for(let c of Array.from(x)){let m=A.slice(n.boxes,c,1),h=await m.data();A.dispose(m);let p=[h[1],h[0],h[3]-h[1],h[2]-h[0]],R=b2(p,qn),P=[Math.trunc(p[0]*V0[0]),Math.trunc(p[1]*V0[1]),Math.trunc(p[2]*V0[0]),Math.trunc(p[3]*V0[1])],g=d[c],f=Zn[y[c]],M={id:l++,score:g,box:P,boxRaw:R,label:f};o.push(M)}return Object.keys(n).forEach(c=>A.dispose(n[c])),o.sort((c,m)=>m.score-c.score),o.length>(t.hand.maxDetected||1)&&(o.length=t.hand.maxDetected||1),o}async function q5(e,t,o){let n={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&&o0[1]&&o.hand.landmarks&&t.score>(o.hand.minConfidence||0)){let r={},s=[t.boxRaw[1],t.boxRaw[0],t.boxRaw[3]+t.boxRaw[1],t.boxRaw[2]+t.boxRaw[0]];r.crop=A.image.cropAndResize(e,[s],[0],[oe[1][0],oe[1][1]],"bilinear"),r.div=A.div(r.crop,W.tf255),[r.score,r.keypoints]=o0[1].execute(r.div,["Identity_1","Identity"]);let a=(await r.score.data())[0],i=(100-Math.trunc(100/(1+Math.exp(a))))/100;if(i>=(o.hand.minConfidence||0)){n.fingerScore=i,r.reshaped=A.reshape(r.keypoints,[-1,3]);let d=(await r.reshaped.array()).map(y=>[y[0]/oe[1][1],y[1]/oe[1][0],y[2]||0]).map(y=>[y[0]*t.boxRaw[2],y[1]*t.boxRaw[3],y[2]||0]);n.keypoints=d.map(y=>[V0[0]*(y[0]+t.boxRaw[0]),V0[1]*(y[1]+t.boxRaw[1]),y[2]||0]),n.landmarks=C2(n.keypoints);for(let y of 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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]],o.pad=A.pad(e,p0.padding),o.resize=A.image.resizeBilinear(o.pad,[t,t]);let n=A.cast(o.resize,"int32");return Object.keys(o).forEach(r=>A.dispose(o[r])),n}function G3(e,t){e.keypoints=e.keypoints.filter(n=>n&&n.position);for(let n of e.keypoints)n.position=[n.position[0]*(t[0]+p0.padding[2][0]+p0.padding[2][1])/t[0]-p0.padding[2][0],n.position[1]*(t[1]+p0.padding[1][0]+p0.padding[1][1])/t[1]-p0.padding[1][0]],n.positionRaw=[n.position[0]/t[0],n.position[1]/t[1]];let o=W0(e.keypoints.map(n=>n.position),t);return e.box=o.box,e.boxRaw=o.boxRaw,e}var u0,W2=0,e1=Number.MAX_SAFE_INTEGER,me={boxes:[],bodies:[],last:0};async function B3(e){return v.initial&&(u0=null),u0?e.debug&&u("cached model:",u0.modelUrl):(I2(["size"],e),u0=await L(e.body.modelPath)),W2=u0.inputs[0].shape?u0.inputs[0].shape[2]:0,W2<64&&(W2=256),u0}async function Kn(e,t,o){let n=e[0][0],r=[],s=0;for(let d=0;dt.body.minConfidence){let y=[n[d][1],n[d][0]];r.push({score:Math.round(100*s)/100,part:O2[d],positionRaw:y,position:[Math.round((o.shape[2]||0)*y[0]),Math.round((o.shape[1]||0)*y[1])]})}s=r.reduce((d,y)=>y.score>d?y.score:d,0);let a=[],i=W0(r.map(d=>d.position),[o.shape[2],o.shape[1]]),l={};for(let[d,y]of Object.entries(L2)){let c=[];for(let m=0;mR.part===y[m]),p=r.find(R=>R.part===y[m+1]);h&&p&&h.score>(t.body.minConfidence||0)&&p.score>(t.body.minConfidence||0)&&c.push([h.position,p.position])}l[d]=c}let x={id:0,score:s,box:i.box,boxRaw:i.boxRaw,keypoints:r,annotations:l};return $5(x),a.push(x),a}async function Jn(e,t,o){let n=[];for(let r=0;rt.body.minConfidence){let i=[];for(let y=0;y<17;y++){let c=s[3*y+2];if(c>t.body.minConfidence){let m=[s[3*y+1],s[3*y+0]];i.push({part:O2[y],score:Math.round(100*c)/100,positionRaw:m,position:[Math.round((o.shape[2]||0)*m[0]),Math.round((o.shape[1]||0)*m[1])]})}}let l=W0(i.map(y=>y.position),[o.shape[2],o.shape[1]]),x={};for(let[y,c]of Object.entries(L2)){let m=[];for(let h=0;hP.part===c[h]),R=i.find(P=>P.part===c[h+1]);p&&R&&p.score>(t.body.minConfidence||0)&&R.score>(t.body.minConfidence||0)&&m.push([p.position,R.position])}x[y]=m}let d={id:r,score:a,box:l.box,boxRaw:l.boxRaw,keypoints:[...i],annotations:x};$5(d),n.push(d)}}return n.sort((r,s)=>s.score-r.score),n.length>t.body.maxDetected&&(n.length=t.body.maxDetected),n}async function t1(e,t){if(!u0||!(u0!=null&&u0.inputs[0].shape))return[];t.skipAllowed||(me.boxes.length=0),e1++;let o=(t.body.skipTime||0)>b()-me.last,n=e1<(t.body.skipFrames||0);return t.skipAllowed&&o&&n?me.bodies:new Promise(async r=>{let s={};e1=0,s.input=F3(e,W2),s.res=u0==null?void 0:u0.execute(s.input),me.last=b();let a=await s.res.array();me.bodies=s.res.shape[2]===17?await Kn(a,t,e):await Jn(a,t,e);for(let i of me.bodies)G3(i,[e.shape[2]||1,e.shape[1]||1]),W3(i.keypoints);Object.keys(s).forEach(i=>A.dispose(s[i])),r(me.bodies)})}var je,F2=[],V3=0,o1=Number.MAX_SAFE_INTEGER,B2=0,G2=2.5;async function D3(e){if(!je||v.initial){je=await L(e.object.modelPath);let t=Object.values(je.modelSignature.inputs);B2=Array.isArray(t)?parseInt(t[0].tensorShape.dim[2].size):0}else e.debug&&u("cached model:",je.modelUrl);return je}async function Qn(e,t,o){let n=0,r=[];for(let l of[1,2,4])A.tidy(async()=>{let x=l*13,d=A.squeeze(e.find(p=>p.shape[1]===x**2&&(p.shape[2]||0)===Te.length)),y=A.squeeze(e.find(p=>p.shape[1]===x**2&&(p.shape[2]||0)(o.object.minConfidence||0)&&R!==61){let g=(.5+Math.trunc(p%x))/x,f=(.5+Math.trunc(p/x))/x,M=m[p].map(D=>D*(x/l/B2)),[C,k]=[g-G2/l*M[0],f-G2/l*M[1]],[I,j]=[g+G2/l*M[2]-C,f+G2/l*M[3]-k],O=[C,k,I,j];O=O.map(D=>Math.max(0,Math.min(D,1)));let Z=[O[0]*t[0],O[1]*t[1],O[2]*t[0],O[3]*t[1]],H={id:n++,score:Math.round(100*P)/100,class:R+1,label:Te[R].label,box:Z.map(D=>Math.trunc(D)),boxRaw:O};r.push(H)}}});e.forEach(l=>A.dispose(l));let s=r.map(l=>[l.boxRaw[1],l.boxRaw[0],l.boxRaw[3],l.boxRaw[2]]),a=r.map(l=>l.score),i=[];if(s&&s.length>0){let l=await A.image.nonMaxSuppressionAsync(s,a,o.object.maxDetected,o.object.iouThreshold,o.object.minConfidence);i=await l.data(),A.dispose(l)}return r=r.filter((l,x)=>i.includes(x)).sort((l,x)=>x.score-l.score),r}async function n1(e,t){let o=(t.object.skipTime||0)>b()-V3,n=o1<(t.object.skipFrames||0);return t.skipAllowed&&o&&n&&F2.length>0?(o1++,F2):(o1=0,!v.kernels.includes("mod")||!v.kernels.includes("sparsetodense")?F2:new Promise(async r=>{let s=[e.shape[2]||0,e.shape[1]||0],a=A.image.resizeBilinear(e,[B2,B2],!1),i=A.div(a,W.tf255),l=i.transpose([0,3,1,2]);A.dispose(i),A.dispose(a);let x;t.object.enabled&&(x=je.execute(l)),V3=b(),A.dispose(l);let d=await Qn(x,s,t);F2=d,r(d)}))}var t2=["nose","leftEye","rightEye","leftEar","rightEar","leftShoulder","rightShoulder","leftElbow","rightElbow","leftWrist","rightWrist","leftHip","rightHip","leftKnee","rightKnee","leftAnkle","rightAnkle"],_n=t2.length,e2=t2.reduce((e,t,o)=>(e[t]=o,e),{}),$n=[["leftHip","leftShoulder"],["leftElbow","leftShoulder"],["leftElbow","leftWrist"],["leftHip","leftKnee"],["leftKnee","leftAnkle"],["rightHip","rightShoulder"],["rightElbow","rightShoulder"],["rightElbow","rightWrist"],["rightHip","rightKnee"],["rightKnee","rightAnkle"],["leftShoulder","rightShoulder"],["leftHip","rightHip"]],v7=$n.map(([e,t])=>[e2[e],e2[t]]),X3=[["nose","leftEye"],["leftEye","leftEar"],["nose","rightEye"],["rightEye","rightEar"],["nose","leftShoulder"],["leftShoulder","leftElbow"],["leftElbow","leftWrist"],["leftShoulder","leftHip"],["leftHip","leftKnee"],["leftKnee","leftAnkle"],["nose","rightShoulder"],["rightShoulder","rightElbow"],["rightElbow","rightWrist"],["rightShoulder","rightHip"],["rightHip","rightKnee"],["rightKnee","rightAnkle"]];function q3(e){let t=e.reduce(({maxX:o,maxY:n,minX:r,minY:s},{position:{x:a,y:i}})=>({maxX:Math.max(o,a),maxY:Math.max(n,i),minX:Math.min(r,a),minY:Math.min(s,i)}),{maxX:Number.NEGATIVE_INFINITY,maxY:Number.NEGATIVE_INFINITY,minX:Number.POSITIVE_INFINITY,minY:Number.POSITIVE_INFINITY});return[t.minX,t.minY,t.maxX-t.minX,t.maxY-t.minY]}function U3(e,[t,o],[n,r]){let s=t/n,a=o/r,i=(x,d)=>({id:d,score:x.score,boxRaw:[x.box[0]/r,x.box[1]/n,x.box[2]/r,x.box[3]/n],box:[Math.trunc(x.box[0]*a),Math.trunc(x.box[1]*s),Math.trunc(x.box[2]*a),Math.trunc(x.box[3]*s)],keypoints:x.keypoints.map(({score:y,part:c,position:m})=>({score:y,part:c,position:[Math.trunc(m.x*a),Math.trunc(m.y*s)],positionRaw:[m.x/n,m.y/n]})),annotations:{}});return e.map((x,d)=>i(x,d))}var H2=class{constructor(t,o){w(this,"priorityQueue");w(this,"numberOfElements");w(this,"getElementValue");this.priorityQueue=new Array(t),this.numberOfElements=-1,this.getElementValue=o}enqueue(t){this.priorityQueue[++this.numberOfElements]=t,this.swim(this.numberOfElements)}dequeue(){let t=this.priorityQueue[0];return this.exchange(0,this.numberOfElements--),this.sink(0),this.priorityQueue[this.numberOfElements+1]=null,t}empty(){return this.numberOfElements===-1}size(){return this.numberOfElements+1}all(){return this.priorityQueue.slice(0,this.numberOfElements+1)}max(){return this.priorityQueue[0]}swim(t){for(;t>0&&this.less(Math.floor(t/2),t);)this.exchange(t,Math.floor(t/2)),t=Math.floor(t/2)}sink(t){for(;2*t<=this.numberOfElements;){let o=2*t;if(oo?o:e}function Y3(e,t,o,n){let r=o-e,s=n-t;return r*r+s*s}function a1(e,t){return{x:e.x+t.x,y:e.y+t.y}}var E0,tr=["MobilenetV1/offset_2/BiasAdd","MobilenetV1/heatmap_2/BiasAdd","MobilenetV1/displacement_fwd_2/BiasAdd","MobilenetV1/displacement_bwd_2/BiasAdd"],V2=1,Ie=16,or=50**2;function K3(e,t,o,n,r,s,a=2){let 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Object.keys(t).forEach(n=>te(t[n])),r}async function fT(e,t){var o,l,u,d;if(!e||e.isDisposedInternal||e.shape.length!==4||e.shape[1]<1||e.shape[2]<1)return[];let r={};r.resized=Ie.resizeBilinear(e,[Ki,Ki]),r.div=pe(r.resized,Qe.tf127),r.normalized=ce(r.div,Qe.tf05);let n=La==null?void 0:La.execute(r.normalized);if(Array.isArray(n)&&n.length>2){let h=n.sort((p,c)=>p.size-c.size);r.concat384=St([h[0],h[2]],2),r.concat512=St([h[1],h[3]],2),r.concat=St([r.concat512,r.concat384],1),r.batch=et(r.concat,0)}else Array.isArray(n)?r.batch=et(n[0]):r.batch=et(n);te(n),r.boxes=L3e(r.batch),r.logits=_e(r.batch,[0,0],[-1,1]),r.sigmoid=Tr(r.logits),r.scores=et(r.sigmoid),r.nms=await Ie.nonMaxSuppressionAsync(r.boxes,r.scores,((o=t.face.detector)==null?void 0:o.maxDetected)||0,((l=t.face.detector)==null?void 0:l.iouThreshold)||0,((u=t.face.detector)==null?void 0:u.minConfidence)||0);let a=await r.nms.array(),s=[],i=await r.scores.data();for(let h=0;h(((d=t.face.detector)==null?void 0:d.minConfidence)||0)){let c={};c.bbox=_e(r.boxes,[a[h],0],[1,-1]),c.slice=_e(r.batch,[a[h],pT-1],[1,-1]),c.squeeze=et(c.slice),c.landmarks=U(c.squeeze,[pT,-1]);let m=await c.bbox.data(),f={startPoint:[m[0],m[1]],endPoint:[m[2],m[3]],landmarks:await c.landmarks.array(),confidence:p},g=aT(f,[(e.shape[2]||0)/Ki,(e.shape[1]||0)/Ki]),y=Ym(g,t.face.scale||D3e),A=Jm(y);s.push(A),Object.keys(c).forEach(x=>te(c[x]))}}return Object.keys(r).forEach(h=>te(r[h])),s}var Qm={};vs(Qm,{connected:()=>cx,kpt:()=>hx});var hx=["nose","leftEyeInside","leftEye","leftEyeOutside","rightEyeInside","rightEye","rightEyeOutside","leftEar","rightEar","leftMouth","rightMouth","leftShoulder","rightShoulder","leftElbow","rightElbow","leftWrist","rightWrist","leftPinky","rightPinky","leftIndex","rightIndex","leftThumb","rightThumb","leftHip","rightHip","leftKnee","rightKnee","leftAnkle","rightAnkle","leftHeel","rightHeel","leftFoot","rightFoot","bodyCenter","bodyTop","leftPalm","leftHand","rightPalm","rightHand"],cx={shoulders:["leftShoulder","rightShoulder"],hips:["rightHip","leftHip"],mouth:["leftMouth","rightMouth"],leftLegUpper:["leftHip","leftKnee"],leftLegLower:["leftKnee","leftAnkle"],leftFoot:["leftAnkle","leftHeel","leftFoot"],leftTorso:["leftShoulder","leftHip"],leftArmUpper:["leftShoulder","leftElbow"],leftArmLower:["leftElbow","leftWrist"],leftHand:["leftWrist","leftPalm"],leftHandPinky:["leftPalm","leftPinky"],leftHandIndex:["leftPalm","leftIndex"],leftHandThumb:["leftPalm","leftThumb"],leftEyeOutline:["leftEyeInside","leftEyeOutside"],rightLegUpper:["rightHip","rightKnee"],rightLegLower:["rightKnee","rightAnkle"],rightFoot:["rightAnkle","rightHeel","rightFoot"],rightTorso:["rightShoulder","rightHip"],rightArmUpper:["rightShoulder","rightElbow"],rightArmLower:["rightElbow","rightWrist"],rightHand:["rightWrist","rightPalm"],rightHandPinky:["rightPalm","rightPinky"],rightHandIndex:["rightPalm","rightIndex"],rightHandThumb:["rightPalm","rightThumb"],rightEyeOutline:["rightEyeInside","rightEyeOutside"]};var gT=224,B3e,W3e=5,e1=[8,16,32,32,32];async function yT(){let e=[],t=0;for(;tr.x)),y:Nt(e.map(r=>r.y))}}function ls(e,t=[1,1]){let r=[e.map(o=>o[0]),e.map(o=>o[1])],n=[Math.min(...r[0]),Math.min(...r[1])],a=[Math.max(...r[0]),Math.max(...r[1])],s=[n[0],n[1],a[0]-n[0],a[1]-n[1]],i=[s[0]/t[0],s[1]/t[1],s[2]/t[0],s[3]/t[1]];return{box:s,boxRaw:i}}function AT(e,t=[1,1]){let r=[e.map(u=>u[0]),e.map(u=>u[1])],n=[Math.min(...r[0]),Math.min(...r[1])],a=[Math.max(...r[0]),Math.max(...r[1])],s=[(n[0]+a[0])/2,(n[1]+a[1])/2],i=Math.max(s[0]-n[0],s[1]-n[1],-s[0]+a[0],-s[1]+a[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 t1(e,t){let r=[e[2]*t,e[3]*t];return[e[0]-(r[0]-e[2])/2,e[1]-(r[1]-e[3])/2,r[0],r[1]]}var vT={initial:!0},An={detector:null,landmarks:null},jd={detector:[224,224],landmarks:[256,256]},fx=Number.MAX_SAFE_INTEGER,U3e={landmarks:["ld_3d","activation_segmentation","activation_heatmap","world_3d","output_poseflag"],detector:[]},n1=null,ic,Zi=[[0,0],[0,0],[0,0],[0,0]],xT=0,bT=e=>1-1/(1+Math.exp(e));async function wT(e){if(vT.initial&&(An.detector=null),!An.detector&&e.body.detector&&e.body.detector.modelPath){An.detector=await Ge(e.body.detector.modelPath);let t=Object.values(An.detector.modelSignature.inputs);jd.detector[0]=Array.isArray(t)?parseInt(t[0].tensorShape.dim[1].size):0,jd.detector[1]=Array.isArray(t)?parseInt(t[0].tensorShape.dim[2].size):0}else e.debug&&An.detector&&se("cached model:",An.detector.modelUrl);return await yT(),An.detector}async function kT(e){if(vT.initial&&(An.landmarks=null),An.landmarks)e.debug&&se("cached model:",An.landmarks.modelUrl);else{An.landmarks=await Ge(e.body.modelPath);let t=Object.values(An.landmarks.modelSignature.inputs);jd.landmarks[0]=Array.isArray(t)?parseInt(t[0].tensorShape.dim[1].size):0,jd.landmarks[1]=Array.isArray(t)?parseInt(t[0].tensorShape.dim[2].size):0}return An.landmarks}async function G3e(e,t){let r={};if(!e.shape||!e.shape[1]||!e.shape[2])return e;let n;if(ic&&(r.cropped=Ie.cropAndResize(e,[ic],[0],[e.shape[1],e.shape[2]])),e.shape[1]!==e.shape[2]){let a=[e.shape[2]>e.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],s=[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];Zi=[[0,0],a,s,[0,0]],r.pad=Xn(r.cropped||e,Zi),r.resize=Ie.resizeBilinear(r.pad,[t,t]),n=pe(r.resize,Qe.tf255)}else e.shape[1]!==t?(r.resize=Ie.resizeBilinear(r.cropped||e,[t,t]),n=pe(r.resize,Qe.tf255)):n=pe(r.cropped||e,Qe.tf255);return Object.keys(r).forEach(a=>te(r[a])),n}function j3e(e,t){for(let r of 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xx=["head","neck","rightShoulder","rightElbow","rightWrist","chest","leftShoulder","leftElbow","leftWrist","bodyCenter","rightHip","rightKnee","rightAnkle","leftHip","leftKnee","leftAnkle"],bx={leftLeg:["leftHip","leftKnee","leftAnkle"],rightLeg:["rightHip","rightKnee","rightAnkle"],torso:["leftShoulder","rightShoulder","rightHip","leftHip","leftShoulder"],leftArm:["leftShoulder","leftElbow","leftWrist"],rightArm:["rightShoulder","rightElbow","rightWrist"],head:[]};var $r,NT=0,Yr={id:0,keypoints:[],box:[0,0,0,0],boxRaw:[0,0,0,0],score:0,annotations:{}},vx=Number.MAX_SAFE_INTEGER;async function ET(e){return he.initial&&($r=null),$r?e.debug&&se("cached model:",$r.modelUrl):$r=await Ge(e.body.modelPath),$r}async function K3e(e,t){let[r,n]=e.shape,a=U(e,[n*r]),s=yr(a,0),i=(await s.data())[0];if(te([a,s]),i>t){let o=$n(a,0),l=wd(o,r),u=(await l.data())[0],d=pe(o,Se(r,"int32")),h=(await d.data())[0];return te([l,d]),[u,h,i]}return[0,0,i]}async function wx(e,t){let r=(t.body.skipTime||0)>oe()-NT,n=vx<(t.body.skipFrames||0);return t.skipAllowed&&r&&n&&Object.keys(Yr.keypoints).length>0?(vx++,[Yr]):(vx=0,new Promise(async a=>{var h;let s=X(()=>{if(!($r!=null&&$r.inputs[0].shape))return null;let p=Ie.resizeBilinear(e,[$r.inputs[0].shape[2],$r.inputs[0].shape[1]],!1),c=L(p,Qe.tf2);return ce(c,Qe.tf1)}),i;if(t.body.enabled&&(i=$r==null?void 0:$r.execute(s)),NT=oe(),te(s),i){Yr.keypoints.length=0;let p=i.squeeze();te(i);let c=p.unstack(2);te(p);for(let m=0;m(((h=t.body)==null?void 0:h.minConfidence)||0)&&Yr.keypoints.push({score:Math.round(100*y)/100,part:xx[m],positionRaw:[f/$r.inputs[0].shape[2],g/$r.inputs[0].shape[1]],position:[Math.round(e.shape[2]*f/$r.inputs[0].shape[2]),Math.round(e.shape[1]*g/$r.inputs[0].shape[1])]})}c.forEach(m=>te(m))}Yr.score=Yr.keypoints.reduce((p,c)=>c.score>p?c.score:p,0);let o=Yr.keypoints.map(p=>p.position[0]),l=Yr.keypoints.map(p=>p.position[1]);Yr.box=[Math.min(...o),Math.min(...l),Math.max(...o)-Math.min(...o),Math.max(...l)-Math.min(...l)];let u=Yr.keypoints.map(p=>p.positionRaw[0]),d=Yr.keypoints.map(p=>p.positionRaw[1]);Yr.boxRaw=[Math.min(...u),Math.min(...d),Math.max(...u)-Math.min(...u),Math.max(...d)-Math.min(...d)];for(let[p,c]of Object.entries(bx)){let m=[];for(let f=0;fA.part===c[f]),y=Yr.keypoints.find(A=>A.part===c[f+1]);g&&y&&g.score>(t.body.minConfidence||0)&&y.score>(t.body.minConfidence||0)&&m.push([g.position,y.position])}Yr.annotations[p]=m}a([Yr])}))}var Z3e=["angry","disgust","fear","happy","sad","surprise","neutral"],Wn,s1=[],$T=0,MT=0,kx=Number.MAX_SAFE_INTEGER;async function FT(e){var t;return he.initial&&(Wn=null),Wn?e.debug&&se("cached model:",Wn.modelUrl):Wn=await Ge((t=e.face.emotion)==null?void 0:t.modelPath),Wn}async function Ix(e,t,r,n){var i,o;if(!Wn)return[];let a=kx<(((i=t.face.emotion)==null?void 0:i.skipFrames)||0),s=(((o=t.face.emotion)==null?void 0:o.skipTime)||0)>oe()-MT;return t.skipAllowed&&s&&a&&$T===n&&s1[r]&&s1[r].length>0?(kx++,s1[r]):(kx=0,new Promise(async l=>{var d,h;let u=[];if((d=t.face.emotion)!=null&&d.enabled){let p={},c=Wn!=null&&Wn.inputs[0].shape?Wn.inputs[0].shape[2]:0;p.resize=Ie.resizeBilinear(e,[c,c],!1),p.channels=L(p.resize,Qe.rgb),p.grayscale=ke(p.channels,3,!0),p.grayscaleSub=ce(p.grayscale,Qe.tf05),p.grayscaleMul=L(p.grayscaleSub,Qe.tf2),p.emotion=Wn==null?void 0:Wn.execute(p.grayscaleMul),MT=oe();let m=await p.emotion.data();for(let f=0;f(((h=t.face.emotion)==null?void 0:h.minConfidence)||0)&&u.push({score:Math.min(.99,Math.trunc(100*m[f])/100),emotion:Z3e[f]});u.sort((f,g)=>g.score-f.score),Object.keys(p).forEach(f=>te(p[f]))}s1[r]=u,$T=n,l(u)}))}var xn,Sx=[],PT=0,OT=0,zT=Number.MAX_SAFE_INTEGER;async function DT(e){return he.initial&&(xn=null),xn?e.debug&&se("cached model:",xn.modelUrl):xn=await Ge(e.face.mobilefacenet.modelPath),xn}async function Cx(e,t,r,n){var i,o;if(!xn)return[];let a=zT<(((i=t.face.embedding)==null?void 0:i.skipFrames)||0),s=(((o=t.face.embedding)==null?void 0:o.skipTime)||0)>oe()-OT;return t.skipAllowed&&s&&a&&PT===n&&Sx[r]?(zT++,Sx[r]):new Promise(async l=>{var d;let u=[];if(((d=t.face.embedding)==null?void 0:d.enabled)&&(xn==null?void 0:xn.inputs[0].shape)){let h={};h.crop=Ie.resizeBilinear(e,[xn.inputs[0].shape[2],xn.inputs[0].shape[1]],!1),h.data=xn==null?void 0:xn.execute(h.crop);let p=await h.data.data();u=Array.from(p)}Sx[r]=u,PT=n,OT=oe(),l(u)})}var ds,Yi=0,Y3e=2.3,Tx=ea.leftEyeLower0,Nx=ea.rightEyeLower0,qd={leftBounds:[Tx[0],Tx[Tx.length-1]],rightBounds:[Nx[0],Nx[Nx.length-1]]},Xd={upperCenter:3,lowerCenter:4,index:71,numCoordinates:76};async function UT(e){var t;return he.initial&&(ds=null),ds?e.debug&&se("cached model:",ds.modelUrl):ds=await Ge((t=e.face.iris)==null?void 0:t.modelPath),Yi=ds.inputs[0].shape?ds.inputs[0].shape[2]:0,Yi===-1&&(Yi=64),ds}function i1(e,t,r,n){for(let a=0;a{let t=e[qd.leftBounds[0]][2],r=e[qd.rightBounds[0]][2];return t-r},BT=(e,t,r,n,a,s=!1)=>{let i=Jm(Ym(sT([e[r],e[n]]),Y3e)),o=Ud(i),l=Ie.cropAndResize(t,[[i.startPoint[1]/a,i.startPoint[0]/a,i.endPoint[1]/a,i.endPoint[0]/a]],[0],[Yi,Yi]);if(s&&he.kernels.includes("flipleftright")){let u=Ie.flipLeftRight(l);te(l),l=u}return{box:i,boxSize:o,crop:l}},WT=(e,t,r,n=!1)=>{let a=[];for(let s=0;s{let n=e[ea[`${r}EyeUpper0`][Xd.upperCenter]][2],a=e[ea[`${r}EyeLower0`][Xd.lowerCenter]][2],s=(n+a)/2;return t.map((i,o)=>{let l=s;return o===2?l=n:o===4&&(l=a),[i[0],i[1],l]})};async function GT(e,t,r,n){if(!ds)return r.debug&&se("face mesh iris detection requested, but model is not loaded"),e;let{box:a,boxSize:s,crop:i}=BT(e,t,qd.leftBounds[0],qd.leftBounds[1],n,!0),{box:o,boxSize:l,crop:u}=BT(e,t,qd.rightBounds[0],qd.rightBounds[1],n,!0),d=St([i,u]);te(i),te(u);let h=ds.execute(d);te(d);let p=await h.data();te(h);let c=p.slice(0,Xd.numCoordinates*3),{rawCoords:m,iris:f}=WT(c,a,s,!0),g=p.slice(Xd.numCoordinates*3),{rawCoords:y,iris:A}=WT(g,o,l,!1),x=J3e(e);Math.abs(x)<30?(i1(e,m,"left",null),i1(e,y,"right",null)):x<1?i1(e,m,"left",["EyeUpper0","EyeLower0"]):i1(e,y,"right",["EyeUpper0","EyeLower0"]);let b=VT(e,f,"left"),w=VT(e,A,"right");return e.concat(b).concat(w)}var Q3e=[[61,146],[146,91],[91,181],[181,84],[84,17],[17,314],[314,405],[405,321],[321,375],[375,291],[61,185],[185,40],[40,39],[39,37],[37,0],[0,267],[267,269],[269,270],[270,409],[409,291],[78,95],[95,88],[88,178],[178,87],[87,14],[14,317],[317,402],[402,318],[318,324],[324,308],[78,191],[191,80],[80,81],[81,82],[82,13],[13,312],[312,311],[311,310],[310,415],[415,308]],e5e=[[263,249],[249,390],[390,373],[373,374],[374,380],[380,381],[381,382],[382,362],[263,466],[466,388],[388,387],[387,386],[386,385],[385,384],[384,398],[398,362]],t5e=[[276,283],[283,282],[282,295],[295,285],[300,293],[293,334],[334,296],[296,336]],r5e=[[474,475],[475,476],[476,477],[477,474]],n5e=[[33,7],[7,163],[163,144],[144,145],[145,153],[153,154],[154,155],[155,133],[33,246],[246,161],[161,160],[160,159],[159,158],[158,157],[157,173],[173,133]],a5e=[[46,53],[53,52],[52,65],[65,55],[70,63],[63,105],[105,66],[66,107]],s5e=[[469,470],[470,471],[471,472],[472,469]],i5e=[[10,338],[338,297],[297,332],[332,284],[284,251],[251,389],[389,356],[356,454],[454,323],[323,361],[361,288],[288,397],[397,365],[365,379],[379,378],[378,400],[400,377],[377,152],[152,148],[148,176],[176,149],[149,150],[150,136],[136,172],[172,58],[58,132],[132,93],[93,234],[234,127],[127,162],[162,21],[21,54],[54,103],[103,67],[67,109],[109,10]];function Ji(e){let t=e.map(r=>r[0]);return t.push(e[e.length-1][1]),t}var o5e={lips:Ji(Q3e),leftEye:Ji(e5e),leftEyebrow:Ji(t5e),leftIris:Ji(r5e),rightEye:Ji(n5e),rightEyebrow:Ji(a5e),rightIris:Ji(s5e),faceOval:Ji(i5e)},l5e=Object.entries(o5e).map(([e,t])=>t.map(r=>[r,e])).flat(),n8e=new 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P={...dT(I.mesh,x),confidence:x.confidence,landmarks:x.landmarks};I.box=Km(P,e),I.boxRaw=Zm(P,e),s.push(P)}te([...T,$])}else{I.box=Km(x,e),I.boxRaw=Zm(x,e),I.score=I.boxScore,I.mesh=x.landmarks.map(T=>[(x.startPoint[0]+x.endPoint[0])/2+(x.endPoint[0]+x.startPoint[0])*T[0]/Gd(),(x.startPoint[1]+x.endPoint[1])/2+(x.endPoint[1]+x.startPoint[1])*T[1]/Gd()]),I.meshRaw=I.mesh.map(T=>[T[0]/(e.shape[2]||0),T[1]/(e.shape[1]||0),(T[2]||0)/ql]);for(let T of Object.keys(Wl))I.annotations[T]=[I.mesh[Wl[T]]]}I.score>(((y=t.face.detector)==null?void 0:y.minConfidence)||1)?a.push(I):te(I.tensor)}return Ba.boxes=s,a}async function KT(e){var t,r,n,a,s,i;return he.initial&&(Mr=null),((r=(t=e==null?void 0:e.face)==null?void 0:t.attention)==null?void 0:r.enabled)&&(Mr==null?void 0:Mr.signature)&&Object.keys(((n=Mr==null?void 0:Mr.signature)==null?void 0:n.outputs)||{}).length<6&&(Mr=null),Mr?e.debug&&se("cached model:",Mr.modelUrl):(a=e.face.attention)!=null&&a.enabled?Mr=await Ge((s=e.face.attention)==null?void 0:s.modelPath):Mr=await Ge((i=e.face.mesh)==null?void 0:i.modelPath),ql=Mr.inputs[0].shape?Mr.inputs[0].shape[2]:0,Mr}var ZT=Vl,YT=ac;var bn,o1=[],JT=0,QT=0,Rx=Number.MAX_SAFE_INTEGER;async function eN(e){var t;return he.initial&&(bn=null),bn?e.debug&&se("cached model:",bn.modelUrl):bn=await Ge((t=e.face.description)==null?void 0:t.modelPath),bn}function $x(e){let t=e.image||e.tensor||e;if(!(bn!=null&&bn.inputs[0].shape))return t;let r=Ie.resizeBilinear(t,[bn.inputs[0].shape[2],bn.inputs[0].shape[1]],!1),n=L(r,Qe.tf255);return te(r),n}async function Mx(e,t,r,n){var i,o,l,u;if(!bn)return{age:0,gender:"unknown",genderScore:0,descriptor:[]};let a=Rx<(((i=t.face.description)==null?void 0:i.skipFrames)||0),s=(((o=t.face.description)==null?void 0:o.skipTime)||0)>oe()-JT;return t.skipAllowed&&a&&s&&QT===n&&((l=o1[r])==null?void 0:l.age)&&((u=o1[r])==null?void 0:u.age)>0?(Rx++,o1[r]):(Rx=0,new Promise(async d=>{var p,c;let h={age:0,gender:"unknown",genderScore:0,descriptor:[]};if((p=t.face.description)!=null&&p.enabled){let m=$x(e),f=bn==null?void 0:bn.execute(m);JT=oe(),te(m);let y=await(await f.find(R=>R.shape[1]===1)).data(),A=Math.trunc(200*Math.abs(y[0]-.5))/100;A>(((c=t.face.description)==null?void 0:c.minConfidence)||0)&&(h.gender=y[0]<=.5?"female":"male",h.genderScore=Math.min(.99,A));let x=$n(f.find(R=>R.shape[1]===100),1),b=(await x.data())[0];te(x);let I=await f.find(R=>R.shape[1]===100).data();h.age=Math.round(I[b-1]>I[b+1]?10*b-100*I[b-1]:10*b+100*I[b+1])/10;let T=f.find(R=>R.shape[1]===1024),E=T?await T.data():[];h.descriptor=Array.from(E),f.forEach(R=>te(R))}o1[r]=h,QT=n,d(h)}))}function l1(e){return[Math.abs(e.endPoint[0]-e.startPoint[0]),Math.abs(e.endPoint[1]-e.startPoint[1])]}function lc(e){return[e.startPoint[0]+(e.endPoint[0]-e.startPoint[0])/2,e.startPoint[1]+(e.endPoint[1]-e.startPoint[1])/2]}function nN(e,t,r){let n=t.shape[1],a=t.shape[2],s=[[e.startPoint[1]/n,e.startPoint[0]/a,e.endPoint[1]/n,e.endPoint[0]/a]];return Ie.cropAndResize(t,s,[0],r)}function aN(e,t){let r=[e.startPoint[0]*t[0],e.startPoint[1]*t[1]],n=[e.endPoint[0]*t[0],e.endPoint[1]*t[1]],a=e.palmLandmarks.map(s=>[s[0]*t[0],s[1]*t[1]]);return{startPoint:r,endPoint:n,palmLandmarks:a,confidence:e.confidence}}function u1(e,t=1.5){let r=lc(e),n=l1(e),a=[t*n[0]/2,t*n[1]/2],s=[r[0]-a[0],r[1]-a[1]],i=[r[0]+a[0],r[1]+a[1]];return{startPoint:s,endPoint:i,palmLandmarks:e.palmLandmarks}}function d1(e){let t=lc(e),r=l1(e),a=Math.max(...r)/2,s=[t[0]-a,t[1]-a],i=[t[0]+a,t[1]+a];return{startPoint:s,endPoint:i,palmLandmarks:e.palmLandmarks}}function d5e(e){return e-2*Math.PI*Math.floor((e+Math.PI)/(2*Math.PI))}function sN(e,t){let r=Math.PI/2-Math.atan2(-(t[1]-e[1]),t[0]-e[0]);return d5e(r)}var tN=(e,t)=>[[1,0,e],[0,1,t],[0,0,1]];function Qi(e,t){let r=0;for(let n=0;n[r.x,r.y]),this.anchorsTensor=ca(this.anchors),this.inputSize=this.model&&this.model.inputs&&this.model.inputs[0].shape?this.model.inputs[0].shape[2]:0,this.inputSizeTensor=Nt([this.inputSize,this.inputSize]),this.doubleInputSizeTensor=Nt([this.inputSize*2,this.inputSize*2])}normalizeBoxes(t){let r={};r.boxOffsets=_e(t,[0,0],[-1,2]),r.boxSizes=_e(t,[0,2],[-1,2]),r.div=pe(r.boxOffsets,this.inputSizeTensor),r.boxCenterPoints=le(r.div,this.anchorsTensor),r.halfBoxSizes=pe(r.boxSizes,this.doubleInputSizeTensor),r.sub=ce(r.boxCenterPoints,r.halfBoxSizes),r.startPoints=L(r.sub,this.inputSizeTensor),r.add=le(r.boxCenterPoints,r.halfBoxSizes),r.endPoints=L(r.add,this.inputSizeTensor);let n=xd([r.startPoints,r.endPoints],1);return Object.keys(r).forEach(a=>te(r[a])),n}normalizeLandmarks(t,r){let n={};n.reshape=U(t,[-1,7,2]),n.div=pe(n.reshape,this.inputSizeTensor),n.landmarks=le(n.div,this.anchors[r]);let a=L(n.landmarks,this.inputSizeTensor);return Object.keys(n).forEach(s=>te(n[s])),a}async predict(t,r){let n={};n.resize=Ie.resizeBilinear(t,[this.inputSize,this.inputSize]),n.div=pe(n.resize,Qe.tf127),n.image=ce(n.div,Qe.tf1),n.batched=this.model.execute(n.image),n.predictions=et(n.batched),n.slice=_e(n.predictions,[0,0],[-1,1]),n.sigmoid=Tr(n.slice),n.scores=et(n.sigmoid);let a=await n.scores.data();n.boxes=_e(n.predictions,[0,1],[-1,4]),n.norm=this.normalizeBoxes(n.boxes),n.nms=await Ie.nonMaxSuppressionAsync(n.norm,n.scores,3*r.hand.maxDetected,r.hand.iouThreshold,r.hand.minConfidence);let s=await n.nms.array(),i=[];for(let o of s){let l={};l.box=_e(n.norm,[o,0],[1,-1]),l.slice=_e(n.predictions,[o,5],[1,14]),l.norm=this.normalizeLandmarks(l.slice,o),l.palmLandmarks=U(l.norm,[-1,2]);let u=await l.box.data(),d=u.slice(0,2),h=u.slice(2,4),p=await l.palmLandmarks.array(),c={startPoint:d,endPoint:h,palmLandmarks:p,confidence:a[o]},m=aN(c,[t.shape[2]/this.inputSize,t.shape[1]/this.inputSize]);i.push(m),Object.keys(l).forEach(f=>te(l[f]))}return Object.keys(n).forEach(o=>te(n[o])),i}};var f5e=5,uN=1.65,dN=[0,5,9,13,17,1,2],m5e=0,g5e=2,pN=0,h1=class{constructor(t,r){fe(this,"handDetector");fe(this,"handPoseModel");fe(this,"inputSize");fe(this,"storedBoxes");fe(this,"skipped");fe(this,"detectedHands");this.handDetector=t,this.handPoseModel=r,this.inputSize=this.handPoseModel&&this.handPoseModel.inputs[0].shape?this.handPoseModel.inputs[0].shape[2]:0,this.storedBoxes=[],this.skipped=Number.MAX_SAFE_INTEGER,this.detectedHands=0}calculateLandmarksBoundingBox(t){let r=t.map(i=>i[0]),n=t.map(i=>i[1]),a=[Math.min(...r),Math.min(...n)],s=[Math.max(...r),Math.max(...n)];return{startPoint:a,endPoint:s}}getBoxForPalmLandmarks(t,r){let n=t.map(s=>Px([...s,1],r)),a=this.calculateLandmarksBoundingBox(n);return u1(d1(a),f5e)}getBoxForHandLandmarks(t){let r=this.calculateLandmarksBoundingBox(t),n=u1(d1(r),uN);n.palmLandmarks=[];for(let a=0;a[i[0]*(c[0]-this.inputSize/2),i[1]*(c[1]-this.inputSize/2),i[2]*c[2]]),l=_x(n,[0,0]),u=o.map(c=>[...Px(c,l),c[2]]),d=iN(a),h=[...lc(r),1],p=[Qi(h,d[0]),Qi(h,d[1])];return u.map(c=>[Math.trunc(c[0]+p[0]),Math.trunc(c[1]+p[1]),Math.trunc(c[2])])}async estimateHands(t,r){let n=!1,a,s=(r.hand.skipTime||0)>oe()-pN,i=this.skipped<(r.hand.skipFrames||0);r.skipAllowed&&s&&i&&(a=await this.handDetector.predict(t,r),this.skipped=0),r.skipAllowed&&this.skipped++,a&&a.length>0&&(a.length!==this.detectedHands&&this.detectedHands!==r.hand.maxDetected||!r.hand.landmarks)&&(this.detectedHands=0,this.storedBoxes=[...a],this.storedBoxes.length>0&&(n=!0));let o=[];for(let l=0;l=r.hand.minConfidence/4){let w=U(x,[-1,3]),I=await w.array();te(x),te(w);let T=this.transformRawCoords(I,f,d,m),E=this.getBoxForHandLandmarks(T);this.storedBoxes[l]={...E,confidence:b};let R={landmarks:T,confidence:b,boxConfidence:u.confidence,fingerConfidence:b,box:{topLeft:E.startPoint,bottomRight:E.endPoint}};o.push(R)}else this.storedBoxes[l]=null;te(x)}else{let d=u1(d1(u),uN),h={confidence:u.confidence,boxConfidence:u.confidence,fingerConfidence:0,box:{topLeft:d.startPoint,bottomRight:d.endPoint},landmarks:[]};o.push(h)}}return this.storedBoxes=this.storedBoxes.filter(l=>l!==null),this.detectedHands=o.length,o.length>r.hand.maxDetected&&(o.length=r.hand.maxDetected),o}};var Jr={thumb:0,index:1,middle:2,ring:3,pinky:4,all:[0,1,2,3,4],nameMapping:{0:"thumb",1:"index",2:"middle",3:"ring",4:"pinky"},pointsMapping:{0:[[0,1],[1,2],[2,3],[3,4]],1:[[0,5],[5,6],[6,7],[7,8]],2:[[0,9],[9,10],[10,11],[11,12]],3:[[0,13],[13,14],[14,15],[15,16]],4:[[0,17],[17,18],[18,19],[19,20]]},getName:e=>Jr.nameMapping[e],getPoints:e=>Jr.pointsMapping[e]},to={none:0,half:1,full:2,nameMapping:{0:"none",1:"half",2:"full"},getName:e=>to.nameMapping[e]},Bt={verticalUp:0,verticalDown:1,horizontalLeft:2,horizontalRight:3,diagonalUpRight:4,diagonalUpLeft:5,diagonalDownRight:6,diagonalDownLeft:7,nameMapping:{0:"verticalUp",1:"verticalDown",2:"horizontalLeft",3:"horizontalRight",4:"diagonalUpRight",5:"diagonalUpLeft",6:"diagonalDownRight",7:"diagonalDownLeft"},getName:e=>Bt.nameMapping[e]},eo=class{constructor(t){fe(this,"name");fe(this,"curls");fe(this,"directions");fe(this,"weights");fe(this,"weightsRelative");this.name=t,this.curls={},this.directions={},this.weights=[1,1,1,1,1],this.weightsRelative=[1,1,1,1,1]}curl(t,r,n){typeof this.curls[t]=="undefined"&&(this.curls[t]=[]),this.curls[t].push([r,n])}direction(t,r,n){this.directions[t]||(this.directions[t]=[]),this.directions[t].push([r,n])}weight(t,r){this.weights[t]=r;let n=this.weights.reduce((a,s)=>a+s,0);this.weightsRelative=this.weights.map(a=>a*5/n)}matchAgainst(t,r){let n=0;for(let a in t){let s=t[a],i=this.curls[a];if(typeof i=="undefined"){n+=this.weightsRelative[a];continue}for(let[o,l]of i)if(s===o){n+=l*this.weightsRelative[a];break}}for(let a in r){let s=r[a],i=this.directions[a];if(typeof i=="undefined"){n+=this.weightsRelative[a];continue}for(let[o,l]of i)if(s===o){n+=l*this.weightsRelative[a];break}}return n/10}};var{thumb:wa,index:ps,middle:hs,ring:Xl,pinky:Kl}=Jr,{none:ka,half:A5e,full:Ia}=to,{verticalUp:Kd,verticalDown:A8e,horizontalLeft:Ox,horizontalRight:x5e,diagonalUpRight:b5e,diagonalUpLeft:Zd,diagonalDownRight:x8e,diagonalDownLeft:b8e}=Bt,ro=new eo("thumbs up");ro.curl(wa,ka,1);ro.direction(wa,Kd,1);ro.direction(wa,Zd,.25);ro.direction(wa,b5e,.25);for(let e of[Jr.index,Jr.middle,Jr.ring,Jr.pinky])ro.curl(e,Ia,1),ro.direction(e,Ox,1),ro.direction(e,x5e,1);var tr=new eo("victory");tr.curl(wa,A5e,.5);tr.curl(wa,ka,.5);tr.direction(wa,Kd,1);tr.direction(wa,Zd,1);tr.curl(ps,ka,1);tr.direction(ps,Kd,.75);tr.direction(ps,Zd,1);tr.curl(hs,ka,1);tr.direction(hs,Kd,1);tr.direction(hs,Zd,.75);tr.curl(Xl,Ia,1);tr.direction(Xl,Kd,.2);tr.direction(Xl,Zd,1);tr.direction(Xl,Ox,.2);tr.curl(Kl,Ia,1);tr.direction(Kl,Kd,.2);tr.direction(Kl,Zd,1);tr.direction(Kl,Ox,.2);tr.weight(ps,2);tr.weight(hs,2);var no=new eo("point");no.curl(wa,Ia,1);no.curl(ps,ka,.5);no.curl(hs,Ia,.5);no.curl(Xl,Ia,.5);no.curl(Kl,Ia,.5);no.weight(ps,2);no.weight(hs,2);var ao=new eo("middle finger");ao.curl(wa,ka,1);ao.curl(ps,Ia,.5);ao.curl(hs,Ia,.5);ao.curl(Xl,Ia,.5);ao.curl(Kl,Ia,.5);ao.weight(ps,2);ao.weight(hs,2);var Yd=new eo("open palm");Yd.curl(wa,ka,.75);Yd.curl(ps,ka,.75);Yd.curl(hs,ka,.75);Yd.curl(Xl,ka,.75);Yd.curl(Kl,ka,.75);var hN=[ro,tr,no,ao,Yd];var v5e=.7,Zl={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 cN(e,t,r,n){let a=(t-n)/(e-r),s=Math.atan(a)*180/Math.PI;return s<=0?s=-s:s>0&&(s=180-s),s}function mN(e,t){if(!e||!t)return[0,0];let r=cN(e[0],e[1],t[0],t[1]);if(e.length===2)return r;let n=cN(e[1],e[2],t[1],t[2]);return[r,n]}function fN(e,t=1){let r=0,n=0,a=0;return e>=75&&e<=105?r=1*t:e>=25&&e<=155?n=1*t:a=1*t,[r,n,a]}function w5e(e,t,r){let n=e[0]-t[0],a=e[0]-r[0],s=t[0]-r[0],i=e[1]-t[1],o=e[1]-r[1],l=t[1]-r[1],u=e[2]-t[2],d=e[2]-r[2],h=t[2]-r[2],p=Math.sqrt(n*n+i*i+u*u),c=Math.sqrt(a*a+o*o+d*d),m=Math.sqrt(s*s+l*l+h*h),f=(m*m+p*p-c*c)/(2*m*p);f>1?f=1:f<-1&&(f=-1);let g=Math.acos(f);g=57.2958*g%180;let y;return g>Zl.NO_CURL_START_LIMIT?y=to.none:g>Zl.HALF_CURL_START_LIMIT?y=to.half:y=to.full,y}function gN(e,t,r,n){let a;return n===Math.abs(e)?e>0?a=Bt.horizontalLeft:a=Bt.horizontalRight:n===Math.abs(t)?t>0?a=Bt.horizontalLeft:a=Bt.horizontalRight:r>0?a=Bt.horizontalLeft:a=Bt.horizontalRight,a}function yN(e,t,r,n){let a;return n===Math.abs(e)?e<0?a=Bt.verticalDown:a=Bt.verticalUp:n===Math.abs(t)?t<0?a=Bt.verticalDown:a=Bt.verticalUp:r<0?a=Bt.verticalDown:a=Bt.verticalUp,a}function k5e(e,t,r,n,a,s,i,o){let l,u=yN(e,t,r,n),d=gN(a,s,i,o);return u===Bt.verticalUp?d===Bt.horizontalLeft?l=Bt.diagonalUpLeft:l=Bt.diagonalUpRight:d===Bt.horizontalLeft?l=Bt.diagonalDownLeft:l=Bt.diagonalDownRight,l}function I5e(e,t,r,n){let a=e[0]-t[0],s=e[0]-r[0],i=t[0]-r[0],o=e[1]-t[1],l=e[1]-r[1],u=t[1]-r[1],d=Math.max(Math.abs(a),Math.abs(s),Math.abs(i)),h=Math.max(Math.abs(o),Math.abs(l),Math.abs(u)),p=0,c=0,m=0,f=h/(d+1e-5);f>1.5?p+=Zl.DISTANCE_VOTE_POWER:f>.66?c+=Zl.DISTANCE_VOTE_POWER:m+=Zl.DISTANCE_VOTE_POWER;let g=Math.sqrt(a*a+o*o),y=Math.sqrt(s*s+l*l),A=Math.sqrt(i*i+u*u),x=Math.max(g,y,A),b=e[0],w=e[1],I=r[0],T=r[1];x===g?(I=r[0],T=r[1]):x===A&&(b=t[0],w=t[1]);let O=mN([b,w],[I,T]),$=fN(O,Zl.TOTAL_ANGLE_VOTE_POWER);p+=$[0],c+=$[1],m+=$[2];for(let P of n){let z=fN(P,Zl.SINGLE_ANGLE_VOTE_POWER);p+=z[0],c+=z[1],m+=z[2]}let S;return p===Math.max(p,c,m)?S=yN(l,o,u,h):m===Math.max(c,m)?S=gN(s,a,i,d):S=k5e(l,o,u,h,s,a,i,d),S}function AN(e){let t=[],r=[],n=[],a=[];if(!e)return{curls:n,directions:a};for(let s of Jr.all){let i=Jr.getPoints(s),o=[],l=[];for(let u of i){let d=e[u[0]],h=e[u[1]],p=mN(d,h),c=p[0],m=p[1];o.push(c),l.push(m)}t.push(o),r.push(l)}for(let s of Jr.all){let i=s===Jr.thumb?1:0,o=Jr.getPoints(s),l=e[o[i][0]],u=e[o[i+1][1]],d=e[o[3][1]],h=w5e(l,u,d),p=I5e(l,u,d,t[s].slice(i));n[s]=h,a[s]=p}return{curls:n,directions:a}}function c1(e){if(!e||e.length===0)return null;let t=AN(e),r={};for(let n of Jr.all)r[Jr.getName(n)]={curl:to.getName(t.curls[n]),direction:Bt.getName(t.directions[n])};return r}function xN(e){let t=[];if(!e||e.length===0)return t;let r=AN(e);for(let n of hN){let a=n.matchAgainst(r.curls,r.directions);a>=v5e&&t.push({name:n.name,confidence:a})}return t}var bN={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]},Jd,Qd,vN;async function Dx(e,t){let r=await vN.estimateHands(e,t);if(!r)return[];let n=[];for(let a=0;ar[a].landmarks[h]);let i=r[a].landmarks,o=[Number.MAX_SAFE_INTEGER,Number.MAX_SAFE_INTEGER,0,0],l=[0,0,0,0];if(i&&i.length>0){for(let d of i)d[0]o[2]&&(o[2]=d[0]),d[1]>o[3]&&(o[3]=d[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=r[a].box?[Math.trunc(Math.max(0,r[a].box.topLeft[0])),Math.trunc(Math.max(0,r[a].box.topLeft[1])),Math.trunc(Math.min(e.shape[2]||0,r[a].box.bottomRight[0])-Math.max(0,r[a].box.topLeft[0])),Math.trunc(Math.min(e.shape[1]||0,r[a].box.bottomRight[1])-Math.max(0,r[a].box.topLeft[1]))]:[0,0,0,0],l=[r[a].box.topLeft[0]/(e.shape[2]||0),r[a].box.topLeft[1]/(e.shape[1]||0),(r[a].box.bottomRight[0]-r[a].box.topLeft[0])/(e.shape[2]||0),(r[a].box.bottomRight[1]-r[a].box.topLeft[1])/(e.shape[1]||0)];let u=c1(i);n.push({id:a,score:Math.round(100*r[a].confidence)/100,boxScore:Math.round(100*r[a].boxConfidence)/100,fingerScore:Math.round(100*r[a].fingerConfidence)/100,label:"hand",box:o,boxRaw:l,keypoints:i,annotations:s,landmarks:u})}return n}async function Lx(e){var r,n;he.initial&&(Jd=null,Qd=null),!Jd||!Qd?[Jd,Qd]=await Promise.all([e.hand.enabled?Ge((r=e.hand.detector)==null?void 0:r.modelPath):null,e.hand.landmarks?Ge((n=e.hand.skeleton)==null?void 0:n.modelPath):null]):(e.debug&&se("cached model:",Jd.modelUrl),e.debug&&se("cached model:",Qd.modelUrl));let t=new p1(Jd);return vN=new h1(t,Qd),[Jd,Qd]}var pr=[null,null],S5e=["StatefulPartitionedCall/Postprocessor/Slice","StatefulPartitionedCall/Postprocessor/ExpandDims_1"],so=[[0,0],[0,0]],C5e=["hand","fist","pinch","point","face","tip","pinchtip"],kN=4,IN=1.6,T5e=512,N5e=1.4,f1=Number.MAX_SAFE_INTEGER,Bx=0,cs=[0,0],Ht={boxes:[],hands:[]},SN={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],base:[0],palm:[0,17,13,9,5,1,0]};async function CN(e){var t;if(he.initial&&(pr[0]=null),pr[0])e.debug&&se("cached model:",pr[0].modelUrl);else{m1(["tensorlistreserve","enter","tensorlistfromtensor","merge","loopcond","switch","exit","tensorliststack","nextiteration","tensorlistsetitem","tensorlistgetitem","reciprocal","shape","split","where"],e),pr[0]=await Ge((t=e.hand.detector)==null?void 0:t.modelPath);let r=Object.values(pr[0].modelSignature.inputs);so[0][0]=Array.isArray(r)?parseInt(r[0].tensorShape.dim[1].size):0,so[0][1]=Array.isArray(r)?parseInt(r[0].tensorShape.dim[2].size):0}return pr[0]}async function TN(e){var t;if(he.initial&&(pr[1]=null),pr[1])e.debug&&se("cached model:",pr[1].modelUrl);else{pr[1]=await Ge((t=e.hand.skeleton)==null?void 0:t.modelPath);let r=Object.values(pr[1].modelSignature.inputs);so[1][0]=Array.isArray(r)?parseInt(r[0].tensorShape.dim[1].size):0,so[1][1]=Array.isArray(r)?parseInt(r[0].tensorShape.dim[2].size):0}return pr[1]}async function E5e(e,t){let r=[];if(!e||!pr[0])return r;let n={},a=(e.shape[2]||1)/(e.shape[1]||1),s=Math.min(Math.round((e.shape[1]||0)/8)*8,T5e),i=Math.round(s*a/8)*8;n.resize=Ie.resizeBilinear(e,[s,i]),n.cast=me(n.resize,"int32"),[n.rawScores,n.rawBoxes]=await pr[0].executeAsync(n.cast,S5e),n.boxes=et(n.rawBoxes,[0,2]),n.scores=et(n.rawScores,[0]);let o=an(n.scores,1);te(o[kN]),o.splice(kN,1),n.filtered=ur(o,1),te(o),n.max=yr(n.filtered,1),n.argmax=$n(n.filtered,1);let l=0;n.nms=await Ie.nonMaxSuppressionAsync(n.boxes,n.max,(t.hand.maxDetected||0)+1,t.hand.iouThreshold||0,t.hand.minConfidence||1);let u=await n.nms.data(),d=await n.max.data(),h=await n.argmax.data();for(let p of Array.from(u)){let c=_e(n.boxes,p,1),m=await c.data();te(c);let f=[m[1],m[0],m[3]-m[1],m[2]-m[0]],g=t1(f,N5e),y=[Math.trunc(f[0]*cs[0]),Math.trunc(f[1]*cs[1]),Math.trunc(f[2]*cs[0]),Math.trunc(f[3]*cs[1])],A=d[p],x=C5e[h[p]],b={id:l++,score:A,box:y,boxRaw:g,label:x};r.push(b)}return Object.keys(n).forEach(p=>te(n[p])),r.sort((p,c)=>c.score-p.score),r.length>(t.hand.maxDetected||1)&&(r.length=t.hand.maxDetected||1),r}async function Wx(e,t,r){let n={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&&pr[1]&&r.hand.landmarks&&t.score>(r.hand.minConfidence||0)){let a={},s=[t.boxRaw[1],t.boxRaw[0],t.boxRaw[3]+t.boxRaw[1],t.boxRaw[2]+t.boxRaw[0]];a.crop=Ie.cropAndResize(e,[s],[0],[so[1][0],so[1][1]],"bilinear"),a.div=pe(a.crop,Qe.tf255),[a.score,a.keypoints]=pr[1].execute(a.div,["Identity_1","Identity"]);let i=(await a.score.data())[0],o=(100-Math.trunc(100/(1+Math.exp(i))))/100;if(o>=(r.hand.minConfidence||0)){n.fingerScore=o,a.reshaped=U(a.keypoints,[-1,3]);let d=(await a.reshaped.array()).map(h=>[h[0]/so[1][1],h[1]/so[1][0],h[2]||0]).map(h=>[h[0]*t.boxRaw[2],h[1]*t.boxRaw[3],h[2]||0]);n.keypoints=d.map(h=>[cs[0]*(h[0]+t.boxRaw[0]),cs[1]*(h[1]+t.boxRaw[1]),h[2]||0]),n.landmarks=c1(n.keypoints);for(let h of Object.keys(SN))n.annotations[h]=SN[h].map(p=>n.landmarks&&n.keypoints[p]?n.keypoints[p]:null)}Object.keys(a).forEach(l=>te(a[l]))}return n}async function Vx(e,t){var a,s;if(!pr[0]||!pr[1]||!((a=pr[0])!=null&&a.inputs[0].shape)||!((s=pr[1])!=null&&s.inputs[0].shape))return[];cs=[e.shape[2]||0,e.shape[1]||0],f1++;let r=(t.hand.skipTime||0)>oe()-Bx,n=f1<(t.hand.skipFrames||0);return t.skipAllowed&&r&&n?Ht.hands:new Promise(async i=>{let o=3*(t.hand.skipTime||0)>oe()-Bx,l=f1<3*(t.hand.skipFrames||0);t.skipAllowed&&Ht.hands.length===t.hand.maxDetected?Ht.hands=await Promise.all(Ht.boxes.map(d=>Wx(e,d,t))):t.skipAllowed&&o&&l&&Ht.hands.length>0?Ht.hands=await Promise.all(Ht.boxes.map(d=>Wx(e,d,t))):(Ht.boxes=await E5e(e,t),Bx=oe(),Ht.hands=await Promise.all(Ht.boxes.map(d=>Wx(e,d,t))),f1=0);let u=[...Ht.boxes];if(Ht.boxes.length=0,t.cacheSensitivity>0)for(let d=0;d.05&&h.box[3]/(e.shape[1]||1)>.05&&Ht.hands[d].fingerScore&&Ht.hands[d].fingerScore>(t.hand.minConfidence||0)){let 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UN(e){let t=e.reduce(({maxX:r,maxY:n,minX:a,minY:s},{position:{x:i,y:o}})=>({maxX:Math.max(r,i),maxY:Math.max(n,o),minX:Math.min(a,i),minY:Math.min(s,o)}),{maxX:Number.NEGATIVE_INFINITY,maxY:Number.NEGATIVE_INFINITY,minX:Number.POSITIVE_INFINITY,minY:Number.POSITIVE_INFINITY});return[t.minX,t.minY,t.maxX-t.minX,t.maxY-t.minY]}function GN(e,[t,r],[n,a]){let s=t/n,i=r/a,o=(u,d)=>({id:d,score:u.score,boxRaw:[u.box[0]/a,u.box[1]/n,u.box[2]/a,u.box[3]/n],box:[Math.trunc(u.box[0]*i),Math.trunc(u.box[1]*s),Math.trunc(u.box[2]*i),Math.trunc(u.box[3]*s)],keypoints:u.keypoints.map(({score:h,part:p,position:c})=>({score:h,part:p,position:[Math.trunc(c.x*i),Math.trunc(c.y*s)],positionRaw:[c.x/n,c.y/n]})),annotations:{}});return e.map((u,d)=>o(u,d))}var k1=class{constructor(t,r){fe(this,"priorityQueue");fe(this,"numberOfElements");fe(this,"getElementValue");this.priorityQueue=new 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Object.keys(t).forEach(n=>te(t[n])),r}async function fT(e,t){var o,l,u,d;if(!e||e.isDisposedInternal||e.shape.length!==4||e.shape[1]<1||e.shape[2]<1)return[];let r={};r.resized=Ie.resizeBilinear(e,[Ki,Ki]),r.div=pe(r.resized,Qe.tf127),r.normalized=ce(r.div,Qe.tf05);let n=La==null?void 0:La.execute(r.normalized);if(Array.isArray(n)&&n.length>2){let h=n.sort((p,c)=>p.size-c.size);r.concat384=St([h[0],h[2]],2),r.concat512=St([h[1],h[3]],2),r.concat=St([r.concat512,r.concat384],1),r.batch=et(r.concat,0)}else Array.isArray(n)?r.batch=et(n[0]):r.batch=et(n);te(n),r.boxes=L3e(r.batch),r.logits=_e(r.batch,[0,0],[-1,1]),r.sigmoid=Tr(r.logits),r.scores=et(r.sigmoid),r.nms=await Ie.nonMaxSuppressionAsync(r.boxes,r.scores,((o=t.face.detector)==null?void 0:o.maxDetected)||0,((l=t.face.detector)==null?void 0:l.iouThreshold)||0,((u=t.face.detector)==null?void 0:u.minConfidence)||0);let a=await r.nms.array(),s=[],i=await r.scores.data();for(let h=0;h(((d=t.face.detector)==null?void 0:d.minConfidence)||0)){let c={};c.bbox=_e(r.boxes,[a[h],0],[1,-1]),c.slice=_e(r.batch,[a[h],pT-1],[1,-1]),c.squeeze=et(c.slice),c.landmarks=U(c.squeeze,[pT,-1]);let m=await c.bbox.data(),f={startPoint:[m[0],m[1]],endPoint:[m[2],m[3]],landmarks:await c.landmarks.array(),confidence:p},g=aT(f,[(e.shape[2]||0)/Ki,(e.shape[1]||0)/Ki]),y=Ym(g,t.face.scale||D3e),A=Jm(y);s.push(A),Object.keys(c).forEach(x=>te(c[x]))}}return Object.keys(r).forEach(h=>te(r[h])),s}var Qm={};vs(Qm,{connected:()=>cx,kpt:()=>hx});var hx=["nose","leftEyeInside","leftEye","leftEyeOutside","rightEyeInside","rightEye","rightEyeOutside","leftEar","rightEar","leftMouth","rightMouth","leftShoulder","rightShoulder","leftElbow","rightElbow","leftWrist","rightWrist","leftPinky","rightPinky","leftIndex","rightIndex","leftThumb","rightThumb","leftHip","rightHip","leftKnee","rightKnee","leftAnkle","rightAnkle","leftHeel","rightHeel","leftFoot","rightFoot","bodyCenter","bodyTop","leftPalm","leftHand","rightPalm","rightHand"],cx={shoulders:["leftShoulder","rightShoulder"],hips:["rightHip","leftHip"],mouth:["leftMouth","rightMouth"],leftLegUpper:["leftHip","leftKnee"],leftLegLower:["leftKnee","leftAnkle"],leftFoot:["leftAnkle","leftHeel","leftFoot"],leftTorso:["leftShoulder","leftHip"],leftArmUpper:["leftShoulder","leftElbow"],leftArmLower:["leftElbow","leftWrist"],leftHand:["leftWrist","leftPalm"],leftHandPinky:["leftPalm","leftPinky"],leftHandIndex:["leftPalm","leftIndex"],leftHandThumb:["leftPalm","leftThumb"],leftEyeOutline:["leftEyeInside","leftEyeOutside"],rightLegUpper:["rightHip","rightKnee"],rightLegLower:["rightKnee","rightAnkle"],rightFoot:["rightAnkle","rightHeel","rightFoot"],rightTorso:["rightShoulder","rightHip"],rightArmUpper:["rightShoulder","rightElbow"],rightArmLower:["rightElbow","rightWrist"],rightHand:["rightWrist","rightPalm"],rightHandPinky:["rightPalm","rightPinky"],rightHandIndex:["rightPalm","rightIndex"],rightHandThumb:["rightPalm","rightThumb"],rightEyeOutline:["rightEyeInside","rightEyeOutside"]};var gT=224,B3e,W3e=5,e1=[8,16,32,32,32];async function yT(){let e=[],t=0;for(;tr.x)),y:Nt(e.map(r=>r.y))}}function ls(e,t=[1,1]){let r=[e.map(o=>o[0]),e.map(o=>o[1])],n=[Math.min(...r[0]),Math.min(...r[1])],a=[Math.max(...r[0]),Math.max(...r[1])],s=[n[0],n[1],a[0]-n[0],a[1]-n[1]],i=[s[0]/t[0],s[1]/t[1],s[2]/t[0],s[3]/t[1]];return{box:s,boxRaw:i}}function AT(e,t=[1,1]){let r=[e.map(u=>u[0]),e.map(u=>u[1])],n=[Math.min(...r[0]),Math.min(...r[1])],a=[Math.max(...r[0]),Math.max(...r[1])],s=[(n[0]+a[0])/2,(n[1]+a[1])/2],i=Math.max(s[0]-n[0],s[1]-n[1],-s[0]+a[0],-s[1]+a[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 t1(e,t){let r=[e[2]*t,e[3]*t];return[e[0]-(r[0]-e[2])/2,e[1]-(r[1]-e[3])/2,r[0],r[1]]}var vT={initial:!0},An={detector:null,landmarks:null},jd={detector:[224,224],landmarks:[256,256]},fx=Number.MAX_SAFE_INTEGER,U3e={landmarks:["ld_3d","activation_segmentation","activation_heatmap","world_3d","output_poseflag"],detector:[]},n1=null,ic,Zi=[[0,0],[0,0],[0,0],[0,0]],xT=0,bT=e=>1-1/(1+Math.exp(e));async function wT(e){if(vT.initial&&(An.detector=null),!An.detector&&e.body.detector&&e.body.detector.modelPath){An.detector=await Ge(e.body.detector.modelPath);let t=Object.values(An.detector.modelSignature.inputs);jd.detector[0]=Array.isArray(t)?parseInt(t[0].tensorShape.dim[1].size):0,jd.detector[1]=Array.isArray(t)?parseInt(t[0].tensorShape.dim[2].size):0}else e.debug&&An.detector&&se("cached model:",An.detector.modelUrl);return await yT(),An.detector}async function kT(e){if(vT.initial&&(An.landmarks=null),An.landmarks)e.debug&&se("cached model:",An.landmarks.modelUrl);else{An.landmarks=await Ge(e.body.modelPath);let t=Object.values(An.landmarks.modelSignature.inputs);jd.landmarks[0]=Array.isArray(t)?parseInt(t[0].tensorShape.dim[1].size):0,jd.landmarks[1]=Array.isArray(t)?parseInt(t[0].tensorShape.dim[2].size):0}return An.landmarks}async function G3e(e,t){let r={};if(!e.shape||!e.shape[1]||!e.shape[2])return e;let n;if(ic&&(r.cropped=Ie.cropAndResize(e,[ic],[0],[e.shape[1],e.shape[2]])),e.shape[1]!==e.shape[2]){let a=[e.shape[2]>e.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],s=[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];Zi=[[0,0],a,s,[0,0]],r.pad=Xn(r.cropped||e,Zi),r.resize=Ie.resizeBilinear(r.pad,[t,t]),n=pe(r.resize,Qe.tf255)}else e.shape[1]!==t?(r.resize=Ie.resizeBilinear(r.cropped||e,[t,t]),n=pe(r.resize,Qe.tf255)):n=pe(r.cropped||e,Qe.tf255);return Object.keys(r).forEach(a=>te(r[a])),n}function j3e(e,t){for(let r of 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xx=["head","neck","rightShoulder","rightElbow","rightWrist","chest","leftShoulder","leftElbow","leftWrist","bodyCenter","rightHip","rightKnee","rightAnkle","leftHip","leftKnee","leftAnkle"],bx={leftLeg:["leftHip","leftKnee","leftAnkle"],rightLeg:["rightHip","rightKnee","rightAnkle"],torso:["leftShoulder","rightShoulder","rightHip","leftHip","leftShoulder"],leftArm:["leftShoulder","leftElbow","leftWrist"],rightArm:["rightShoulder","rightElbow","rightWrist"],head:[]};var $r,NT=0,Yr={id:0,keypoints:[],box:[0,0,0,0],boxRaw:[0,0,0,0],score:0,annotations:{}},vx=Number.MAX_SAFE_INTEGER;async function ET(e){return he.initial&&($r=null),$r?e.debug&&se("cached model:",$r.modelUrl):$r=await Ge(e.body.modelPath),$r}async function K3e(e,t){let[r,n]=e.shape,a=U(e,[n*r]),s=yr(a,0),i=(await s.data())[0];if(te([a,s]),i>t){let o=$n(a,0),l=wd(o,r),u=(await l.data())[0],d=pe(o,Se(r,"int32")),h=(await d.data())[0];return te([l,d]),[u,h,i]}return[0,0,i]}async function wx(e,t){let r=(t.body.skipTime||0)>oe()-NT,n=vx<(t.body.skipFrames||0);return t.skipAllowed&&r&&n&&Object.keys(Yr.keypoints).length>0?(vx++,[Yr]):(vx=0,new Promise(async a=>{var h;let s=X(()=>{if(!($r!=null&&$r.inputs[0].shape))return null;let p=Ie.resizeBilinear(e,[$r.inputs[0].shape[2],$r.inputs[0].shape[1]],!1),c=L(p,Qe.tf2);return ce(c,Qe.tf1)}),i;if(t.body.enabled&&(i=$r==null?void 0:$r.execute(s)),NT=oe(),te(s),i){Yr.keypoints.length=0;let p=i.squeeze();te(i);let c=p.unstack(2);te(p);for(let m=0;m(((h=t.body)==null?void 0:h.minConfidence)||0)&&Yr.keypoints.push({score:Math.round(100*y)/100,part:xx[m],positionRaw:[f/$r.inputs[0].shape[2],g/$r.inputs[0].shape[1]],position:[Math.round(e.shape[2]*f/$r.inputs[0].shape[2]),Math.round(e.shape[1]*g/$r.inputs[0].shape[1])]})}c.forEach(m=>te(m))}Yr.score=Yr.keypoints.reduce((p,c)=>c.score>p?c.score:p,0);let o=Yr.keypoints.map(p=>p.position[0]),l=Yr.keypoints.map(p=>p.position[1]);Yr.box=[Math.min(...o),Math.min(...l),Math.max(...o)-Math.min(...o),Math.max(...l)-Math.min(...l)];let u=Yr.keypoints.map(p=>p.positionRaw[0]),d=Yr.keypoints.map(p=>p.positionRaw[1]);Yr.boxRaw=[Math.min(...u),Math.min(...d),Math.max(...u)-Math.min(...u),Math.max(...d)-Math.min(...d)];for(let[p,c]of Object.entries(bx)){let m=[];for(let f=0;fA.part===c[f]),y=Yr.keypoints.find(A=>A.part===c[f+1]);g&&y&&g.score>(t.body.minConfidence||0)&&y.score>(t.body.minConfidence||0)&&m.push([g.position,y.position])}Yr.annotations[p]=m}a([Yr])}))}var Z3e=["angry","disgust","fear","happy","sad","surprise","neutral"],Wn,s1=[],$T=0,MT=0,kx=Number.MAX_SAFE_INTEGER;async function FT(e){var t;return he.initial&&(Wn=null),Wn?e.debug&&se("cached model:",Wn.modelUrl):Wn=await Ge((t=e.face.emotion)==null?void 0:t.modelPath),Wn}async function Ix(e,t,r,n){var i,o;if(!Wn)return[];let a=kx<(((i=t.face.emotion)==null?void 0:i.skipFrames)||0),s=(((o=t.face.emotion)==null?void 0:o.skipTime)||0)>oe()-MT;return t.skipAllowed&&s&&a&&$T===n&&s1[r]&&s1[r].length>0?(kx++,s1[r]):(kx=0,new Promise(async l=>{var d,h;let u=[];if((d=t.face.emotion)!=null&&d.enabled){let p={},c=Wn!=null&&Wn.inputs[0].shape?Wn.inputs[0].shape[2]:0;p.resize=Ie.resizeBilinear(e,[c,c],!1),p.channels=L(p.resize,Qe.rgb),p.grayscale=ke(p.channels,3,!0),p.grayscaleSub=ce(p.grayscale,Qe.tf05),p.grayscaleMul=L(p.grayscaleSub,Qe.tf2),p.emotion=Wn==null?void 0:Wn.execute(p.grayscaleMul),MT=oe();let m=await p.emotion.data();for(let f=0;f(((h=t.face.emotion)==null?void 0:h.minConfidence)||0)&&u.push({score:Math.min(.99,Math.trunc(100*m[f])/100),emotion:Z3e[f]});u.sort((f,g)=>g.score-f.score),Object.keys(p).forEach(f=>te(p[f]))}s1[r]=u,$T=n,l(u)}))}var xn,Sx=[],PT=0,OT=0,zT=Number.MAX_SAFE_INTEGER;async function DT(e){return he.initial&&(xn=null),xn?e.debug&&se("cached model:",xn.modelUrl):xn=await Ge(e.face.mobilefacenet.modelPath),xn}async function Cx(e,t,r,n){var i,o;if(!xn)return[];let a=zT<(((i=t.face.embedding)==null?void 0:i.skipFrames)||0),s=(((o=t.face.embedding)==null?void 0:o.skipTime)||0)>oe()-OT;return t.skipAllowed&&s&&a&&PT===n&&Sx[r]?(zT++,Sx[r]):new Promise(async l=>{var d;let u=[];if(((d=t.face.embedding)==null?void 0:d.enabled)&&(xn==null?void 0:xn.inputs[0].shape)){let h={};h.crop=Ie.resizeBilinear(e,[xn.inputs[0].shape[2],xn.inputs[0].shape[1]],!1),h.data=xn==null?void 0:xn.execute(h.crop);let p=await h.data.data();u=Array.from(p)}Sx[r]=u,PT=n,OT=oe(),l(u)})}var ds,Yi=0,Y3e=2.3,Tx=ea.leftEyeLower0,Nx=ea.rightEyeLower0,qd={leftBounds:[Tx[0],Tx[Tx.length-1]],rightBounds:[Nx[0],Nx[Nx.length-1]]},Xd={upperCenter:3,lowerCenter:4,index:71,numCoordinates:76};async function UT(e){var t;return he.initial&&(ds=null),ds?e.debug&&se("cached model:",ds.modelUrl):ds=await Ge((t=e.face.iris)==null?void 0:t.modelPath),Yi=ds.inputs[0].shape?ds.inputs[0].shape[2]:0,Yi===-1&&(Yi=64),ds}function i1(e,t,r,n){for(let a=0;a{let t=e[qd.leftBounds[0]][2],r=e[qd.rightBounds[0]][2];return t-r},BT=(e,t,r,n,a,s=!1)=>{let i=Jm(Ym(sT([e[r],e[n]]),Y3e)),o=Ud(i),l=Ie.cropAndResize(t,[[i.startPoint[1]/a,i.startPoint[0]/a,i.endPoint[1]/a,i.endPoint[0]/a]],[0],[Yi,Yi]);if(s&&he.kernels.includes("flipleftright")){let u=Ie.flipLeftRight(l);te(l),l=u}return{box:i,boxSize:o,crop:l}},WT=(e,t,r,n=!1)=>{let a=[];for(let s=0;s{let n=e[ea[`${r}EyeUpper0`][Xd.upperCenter]][2],a=e[ea[`${r}EyeLower0`][Xd.lowerCenter]][2],s=(n+a)/2;return t.map((i,o)=>{let l=s;return o===2?l=n:o===4&&(l=a),[i[0],i[1],l]})};async function GT(e,t,r,n){if(!ds)return r.debug&&se("face mesh iris detection requested, but model is not loaded"),e;let{box:a,boxSize:s,crop:i}=BT(e,t,qd.leftBounds[0],qd.leftBounds[1],n,!0),{box:o,boxSize:l,crop:u}=BT(e,t,qd.rightBounds[0],qd.rightBounds[1],n,!0),d=St([i,u]);te(i),te(u);let h=ds.execute(d);te(d);let p=await h.data();te(h);let c=p.slice(0,Xd.numCoordinates*3),{rawCoords:m,iris:f}=WT(c,a,s,!0),g=p.slice(Xd.numCoordinates*3),{rawCoords:y,iris:A}=WT(g,o,l,!1),x=J3e(e);Math.abs(x)<30?(i1(e,m,"left",null),i1(e,y,"right",null)):x<1?i1(e,m,"left",["EyeUpper0","EyeLower0"]):i1(e,y,"right",["EyeUpper0","EyeLower0"]);let b=VT(e,f,"left"),w=VT(e,A,"right");return e.concat(b).concat(w)}var Q3e=[[61,146],[146,91],[91,181],[181,84],[84,17],[17,314],[314,405],[405,321],[321,375],[375,291],[61,185],[185,40],[40,39],[39,37],[37,0],[0,267],[267,269],[269,270],[270,409],[409,291],[78,95],[95,88],[88,178],[178,87],[87,14],[14,317],[317,402],[402,318],[318,324],[324,308],[78,191],[191,80],[80,81],[81,82],[82,13],[13,312],[312,311],[311,310],[310,415],[415,308]],e5e=[[263,249],[249,390],[390,373],[373,374],[374,380],[380,381],[381,382],[382,362],[263,466],[466,388],[388,387],[387,386],[386,385],[385,384],[384,398],[398,362]],t5e=[[276,283],[283,282],[282,295],[295,285],[300,293],[293,334],[334,296],[296,336]],r5e=[[474,475],[475,476],[476,477],[477,474]],n5e=[[33,7],[7,163],[163,144],[144,145],[145,153],[153,154],[154,155],[155,133],[33,246],[246,161],[161,160],[160,159],[159,158],[158,157],[157,173],[173,133]],a5e=[[46,53],[53,52],[52,65],[65,55],[70,63],[63,105],[105,66],[66,107]],s5e=[[469,470],[470,471],[471,472],[472,469]],i5e=[[10,338],[338,297],[297,332],[332,284],[284,251],[251,389],[389,356],[356,454],[454,323],[323,361],[361,288],[288,397],[397,365],[365,379],[379,378],[378,400],[400,377],[377,152],[152,148],[148,176],[176,149],[149,150],[150,136],[136,172],[172,58],[58,132],[132,93],[93,234],[234,127],[127,162],[162,21],[21,54],[54,103],[103,67],[67,109],[109,10]];function Ji(e){let t=e.map(r=>r[0]);return t.push(e[e.length-1][1]),t}var o5e={lips:Ji(Q3e),leftEye:Ji(e5e),leftEyebrow:Ji(t5e),leftIris:Ji(r5e),rightEye:Ji(n5e),rightEyebrow:Ji(a5e),rightIris:Ji(s5e),faceOval:Ji(i5e)},l5e=Object.entries(o5e).map(([e,t])=>t.map(r=>[r,e])).flat(),n8e=new 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P={...dT(I.mesh,x),confidence:x.confidence,landmarks:x.landmarks};I.box=Km(P,e),I.boxRaw=Zm(P,e),s.push(P)}te([...T,$])}else{I.box=Km(x,e),I.boxRaw=Zm(x,e),I.score=I.boxScore,I.mesh=x.landmarks.map(T=>[(x.startPoint[0]+x.endPoint[0])/2+(x.endPoint[0]+x.startPoint[0])*T[0]/Gd(),(x.startPoint[1]+x.endPoint[1])/2+(x.endPoint[1]+x.startPoint[1])*T[1]/Gd()]),I.meshRaw=I.mesh.map(T=>[T[0]/(e.shape[2]||0),T[1]/(e.shape[1]||0),(T[2]||0)/ql]);for(let T of Object.keys(Wl))I.annotations[T]=[I.mesh[Wl[T]]]}I.score>(((y=t.face.detector)==null?void 0:y.minConfidence)||1)?a.push(I):te(I.tensor)}return Ba.boxes=s,a}async function KT(e){var t,r,n,a,s,i;return he.initial&&(Mr=null),((r=(t=e==null?void 0:e.face)==null?void 0:t.attention)==null?void 0:r.enabled)&&(Mr==null?void 0:Mr.signature)&&Object.keys(((n=Mr==null?void 0:Mr.signature)==null?void 0:n.outputs)||{}).length<6&&(Mr=null),Mr?e.debug&&se("cached model:",Mr.modelUrl):(a=e.face.attention)!=null&&a.enabled?Mr=await Ge((s=e.face.attention)==null?void 0:s.modelPath):Mr=await Ge((i=e.face.mesh)==null?void 0:i.modelPath),ql=Mr.inputs[0].shape?Mr.inputs[0].shape[2]:0,Mr}var ZT=Vl,YT=ac;var bn,o1=[],JT=0,QT=0,Rx=Number.MAX_SAFE_INTEGER;async function eN(e){var t;return he.initial&&(bn=null),bn?e.debug&&se("cached model:",bn.modelUrl):bn=await Ge((t=e.face.description)==null?void 0:t.modelPath),bn}function $x(e){let t=e.image||e.tensor||e;if(!(bn!=null&&bn.inputs[0].shape))return t;let r=Ie.resizeBilinear(t,[bn.inputs[0].shape[2],bn.inputs[0].shape[1]],!1),n=L(r,Qe.tf255);return te(r),n}async function Mx(e,t,r,n){var i,o,l,u;if(!bn)return{age:0,gender:"unknown",genderScore:0,descriptor:[]};let a=Rx<(((i=t.face.description)==null?void 0:i.skipFrames)||0),s=(((o=t.face.description)==null?void 0:o.skipTime)||0)>oe()-JT;return t.skipAllowed&&a&&s&&QT===n&&((l=o1[r])==null?void 0:l.age)&&((u=o1[r])==null?void 0:u.age)>0?(Rx++,o1[r]):(Rx=0,new Promise(async d=>{var p,c;let h={age:0,gender:"unknown",genderScore:0,descriptor:[]};if((p=t.face.description)!=null&&p.enabled){let m=$x(e),f=bn==null?void 0:bn.execute(m);JT=oe(),te(m);let y=await(await f.find(R=>R.shape[1]===1)).data(),A=Math.trunc(200*Math.abs(y[0]-.5))/100;A>(((c=t.face.description)==null?void 0:c.minConfidence)||0)&&(h.gender=y[0]<=.5?"female":"male",h.genderScore=Math.min(.99,A));let x=$n(f.find(R=>R.shape[1]===100),1),b=(await x.data())[0];te(x);let I=await f.find(R=>R.shape[1]===100).data();h.age=Math.round(I[b-1]>I[b+1]?10*b-100*I[b-1]:10*b+100*I[b+1])/10;let T=f.find(R=>R.shape[1]===1024),E=T?await T.data():[];h.descriptor=Array.from(E),f.forEach(R=>te(R))}o1[r]=h,QT=n,d(h)}))}function l1(e){return[Math.abs(e.endPoint[0]-e.startPoint[0]),Math.abs(e.endPoint[1]-e.startPoint[1])]}function lc(e){return[e.startPoint[0]+(e.endPoint[0]-e.startPoint[0])/2,e.startPoint[1]+(e.endPoint[1]-e.startPoint[1])/2]}function nN(e,t,r){let n=t.shape[1],a=t.shape[2],s=[[e.startPoint[1]/n,e.startPoint[0]/a,e.endPoint[1]/n,e.endPoint[0]/a]];return Ie.cropAndResize(t,s,[0],r)}function aN(e,t){let r=[e.startPoint[0]*t[0],e.startPoint[1]*t[1]],n=[e.endPoint[0]*t[0],e.endPoint[1]*t[1]],a=e.palmLandmarks.map(s=>[s[0]*t[0],s[1]*t[1]]);return{startPoint:r,endPoint:n,palmLandmarks:a,confidence:e.confidence}}function u1(e,t=1.5){let r=lc(e),n=l1(e),a=[t*n[0]/2,t*n[1]/2],s=[r[0]-a[0],r[1]-a[1]],i=[r[0]+a[0],r[1]+a[1]];return{startPoint:s,endPoint:i,palmLandmarks:e.palmLandmarks}}function d1(e){let t=lc(e),r=l1(e),a=Math.max(...r)/2,s=[t[0]-a,t[1]-a],i=[t[0]+a,t[1]+a];return{startPoint:s,endPoint:i,palmLandmarks:e.palmLandmarks}}function d5e(e){return e-2*Math.PI*Math.floor((e+Math.PI)/(2*Math.PI))}function sN(e,t){let r=Math.PI/2-Math.atan2(-(t[1]-e[1]),t[0]-e[0]);return d5e(r)}var tN=(e,t)=>[[1,0,e],[0,1,t],[0,0,1]];function Qi(e,t){let r=0;for(let n=0;n[r.x,r.y]),this.anchorsTensor=ca(this.anchors),this.inputSize=this.model&&this.model.inputs&&this.model.inputs[0].shape?this.model.inputs[0].shape[2]:0,this.inputSizeTensor=Nt([this.inputSize,this.inputSize]),this.doubleInputSizeTensor=Nt([this.inputSize*2,this.inputSize*2])}normalizeBoxes(t){let r={};r.boxOffsets=_e(t,[0,0],[-1,2]),r.boxSizes=_e(t,[0,2],[-1,2]),r.div=pe(r.boxOffsets,this.inputSizeTensor),r.boxCenterPoints=le(r.div,this.anchorsTensor),r.halfBoxSizes=pe(r.boxSizes,this.doubleInputSizeTensor),r.sub=ce(r.boxCenterPoints,r.halfBoxSizes),r.startPoints=L(r.sub,this.inputSizeTensor),r.add=le(r.boxCenterPoints,r.halfBoxSizes),r.endPoints=L(r.add,this.inputSizeTensor);let n=xd([r.startPoints,r.endPoints],1);return Object.keys(r).forEach(a=>te(r[a])),n}normalizeLandmarks(t,r){let n={};n.reshape=U(t,[-1,7,2]),n.div=pe(n.reshape,this.inputSizeTensor),n.landmarks=le(n.div,this.anchors[r]);let a=L(n.landmarks,this.inputSizeTensor);return Object.keys(n).forEach(s=>te(n[s])),a}async predict(t,r){let n={};n.resize=Ie.resizeBilinear(t,[this.inputSize,this.inputSize]),n.div=pe(n.resize,Qe.tf127),n.image=ce(n.div,Qe.tf1),n.batched=this.model.execute(n.image),n.predictions=et(n.batched),n.slice=_e(n.predictions,[0,0],[-1,1]),n.sigmoid=Tr(n.slice),n.scores=et(n.sigmoid);let a=await n.scores.data();n.boxes=_e(n.predictions,[0,1],[-1,4]),n.norm=this.normalizeBoxes(n.boxes),n.nms=await Ie.nonMaxSuppressionAsync(n.norm,n.scores,3*r.hand.maxDetected,r.hand.iouThreshold,r.hand.minConfidence);let s=await n.nms.array(),i=[];for(let o of s){let l={};l.box=_e(n.norm,[o,0],[1,-1]),l.slice=_e(n.predictions,[o,5],[1,14]),l.norm=this.normalizeLandmarks(l.slice,o),l.palmLandmarks=U(l.norm,[-1,2]);let u=await l.box.data(),d=u.slice(0,2),h=u.slice(2,4),p=await l.palmLandmarks.array(),c={startPoint:d,endPoint:h,palmLandmarks:p,confidence:a[o]},m=aN(c,[t.shape[2]/this.inputSize,t.shape[1]/this.inputSize]);i.push(m),Object.keys(l).forEach(f=>te(l[f]))}return Object.keys(n).forEach(o=>te(n[o])),i}};var f5e=5,uN=1.65,dN=[0,5,9,13,17,1,2],m5e=0,g5e=2,pN=0,h1=class{constructor(t,r){fe(this,"handDetector");fe(this,"handPoseModel");fe(this,"inputSize");fe(this,"storedBoxes");fe(this,"skipped");fe(this,"detectedHands");this.handDetector=t,this.handPoseModel=r,this.inputSize=this.handPoseModel&&this.handPoseModel.inputs[0].shape?this.handPoseModel.inputs[0].shape[2]:0,this.storedBoxes=[],this.skipped=Number.MAX_SAFE_INTEGER,this.detectedHands=0}calculateLandmarksBoundingBox(t){let r=t.map(i=>i[0]),n=t.map(i=>i[1]),a=[Math.min(...r),Math.min(...n)],s=[Math.max(...r),Math.max(...n)];return{startPoint:a,endPoint:s}}getBoxForPalmLandmarks(t,r){let n=t.map(s=>Px([...s,1],r)),a=this.calculateLandmarksBoundingBox(n);return u1(d1(a),f5e)}getBoxForHandLandmarks(t){let r=this.calculateLandmarksBoundingBox(t),n=u1(d1(r),uN);n.palmLandmarks=[];for(let a=0;a[i[0]*(c[0]-this.inputSize/2),i[1]*(c[1]-this.inputSize/2),i[2]*c[2]]),l=_x(n,[0,0]),u=o.map(c=>[...Px(c,l),c[2]]),d=iN(a),h=[...lc(r),1],p=[Qi(h,d[0]),Qi(h,d[1])];return u.map(c=>[Math.trunc(c[0]+p[0]),Math.trunc(c[1]+p[1]),Math.trunc(c[2])])}async estimateHands(t,r){let n=!1,a,s=(r.hand.skipTime||0)>oe()-pN,i=this.skipped<(r.hand.skipFrames||0);r.skipAllowed&&s&&i&&(a=await this.handDetector.predict(t,r),this.skipped=0),r.skipAllowed&&this.skipped++,a&&a.length>0&&(a.length!==this.detectedHands&&this.detectedHands!==r.hand.maxDetected||!r.hand.landmarks)&&(this.detectedHands=0,this.storedBoxes=[...a],this.storedBoxes.length>0&&(n=!0));let o=[];for(let l=0;l=r.hand.minConfidence/4){let w=U(x,[-1,3]),I=await w.array();te(x),te(w);let T=this.transformRawCoords(I,f,d,m),E=this.getBoxForHandLandmarks(T);this.storedBoxes[l]={...E,confidence:b};let R={landmarks:T,confidence:b,boxConfidence:u.confidence,fingerConfidence:b,box:{topLeft:E.startPoint,bottomRight:E.endPoint}};o.push(R)}else this.storedBoxes[l]=null;te(x)}else{let d=u1(d1(u),uN),h={confidence:u.confidence,boxConfidence:u.confidence,fingerConfidence:0,box:{topLeft:d.startPoint,bottomRight:d.endPoint},landmarks:[]};o.push(h)}}return this.storedBoxes=this.storedBoxes.filter(l=>l!==null),this.detectedHands=o.length,o.length>r.hand.maxDetected&&(o.length=r.hand.maxDetected),o}};var Jr={thumb:0,index:1,middle:2,ring:3,pinky:4,all:[0,1,2,3,4],nameMapping:{0:"thumb",1:"index",2:"middle",3:"ring",4:"pinky"},pointsMapping:{0:[[0,1],[1,2],[2,3],[3,4]],1:[[0,5],[5,6],[6,7],[7,8]],2:[[0,9],[9,10],[10,11],[11,12]],3:[[0,13],[13,14],[14,15],[15,16]],4:[[0,17],[17,18],[18,19],[19,20]]},getName:e=>Jr.nameMapping[e],getPoints:e=>Jr.pointsMapping[e]},to={none:0,half:1,full:2,nameMapping:{0:"none",1:"half",2:"full"},getName:e=>to.nameMapping[e]},Bt={verticalUp:0,verticalDown:1,horizontalLeft:2,horizontalRight:3,diagonalUpRight:4,diagonalUpLeft:5,diagonalDownRight:6,diagonalDownLeft:7,nameMapping:{0:"verticalUp",1:"verticalDown",2:"horizontalLeft",3:"horizontalRight",4:"diagonalUpRight",5:"diagonalUpLeft",6:"diagonalDownRight",7:"diagonalDownLeft"},getName:e=>Bt.nameMapping[e]},eo=class{constructor(t){fe(this,"name");fe(this,"curls");fe(this,"directions");fe(this,"weights");fe(this,"weightsRelative");this.name=t,this.curls={},this.directions={},this.weights=[1,1,1,1,1],this.weightsRelative=[1,1,1,1,1]}curl(t,r,n){typeof this.curls[t]=="undefined"&&(this.curls[t]=[]),this.curls[t].push([r,n])}direction(t,r,n){this.directions[t]||(this.directions[t]=[]),this.directions[t].push([r,n])}weight(t,r){this.weights[t]=r;let n=this.weights.reduce((a,s)=>a+s,0);this.weightsRelative=this.weights.map(a=>a*5/n)}matchAgainst(t,r){let n=0;for(let a in t){let s=t[a],i=this.curls[a];if(typeof i=="undefined"){n+=this.weightsRelative[a];continue}for(let[o,l]of i)if(s===o){n+=l*this.weightsRelative[a];break}}for(let a in r){let s=r[a],i=this.directions[a];if(typeof i=="undefined"){n+=this.weightsRelative[a];continue}for(let[o,l]of i)if(s===o){n+=l*this.weightsRelative[a];break}}return n/10}};var{thumb:wa,index:ps,middle:hs,ring:Xl,pinky:Kl}=Jr,{none:ka,half:A5e,full:Ia}=to,{verticalUp:Kd,verticalDown:A8e,horizontalLeft:Ox,horizontalRight:x5e,diagonalUpRight:b5e,diagonalUpLeft:Zd,diagonalDownRight:x8e,diagonalDownLeft:b8e}=Bt,ro=new eo("thumbs up");ro.curl(wa,ka,1);ro.direction(wa,Kd,1);ro.direction(wa,Zd,.25);ro.direction(wa,b5e,.25);for(let e of[Jr.index,Jr.middle,Jr.ring,Jr.pinky])ro.curl(e,Ia,1),ro.direction(e,Ox,1),ro.direction(e,x5e,1);var tr=new eo("victory");tr.curl(wa,A5e,.5);tr.curl(wa,ka,.5);tr.direction(wa,Kd,1);tr.direction(wa,Zd,1);tr.curl(ps,ka,1);tr.direction(ps,Kd,.75);tr.direction(ps,Zd,1);tr.curl(hs,ka,1);tr.direction(hs,Kd,1);tr.direction(hs,Zd,.75);tr.curl(Xl,Ia,1);tr.direction(Xl,Kd,.2);tr.direction(Xl,Zd,1);tr.direction(Xl,Ox,.2);tr.curl(Kl,Ia,1);tr.direction(Kl,Kd,.2);tr.direction(Kl,Zd,1);tr.direction(Kl,Ox,.2);tr.weight(ps,2);tr.weight(hs,2);var no=new eo("point");no.curl(wa,Ia,1);no.curl(ps,ka,.5);no.curl(hs,Ia,.5);no.curl(Xl,Ia,.5);no.curl(Kl,Ia,.5);no.weight(ps,2);no.weight(hs,2);var ao=new eo("middle finger");ao.curl(wa,ka,1);ao.curl(ps,Ia,.5);ao.curl(hs,Ia,.5);ao.curl(Xl,Ia,.5);ao.curl(Kl,Ia,.5);ao.weight(ps,2);ao.weight(hs,2);var Yd=new eo("open palm");Yd.curl(wa,ka,.75);Yd.curl(ps,ka,.75);Yd.curl(hs,ka,.75);Yd.curl(Xl,ka,.75);Yd.curl(Kl,ka,.75);var hN=[ro,tr,no,ao,Yd];var v5e=.7,Zl={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 cN(e,t,r,n){let a=(t-n)/(e-r),s=Math.atan(a)*180/Math.PI;return s<=0?s=-s:s>0&&(s=180-s),s}function mN(e,t){if(!e||!t)return[0,0];let r=cN(e[0],e[1],t[0],t[1]);if(e.length===2)return r;let n=cN(e[1],e[2],t[1],t[2]);return[r,n]}function fN(e,t=1){let r=0,n=0,a=0;return e>=75&&e<=105?r=1*t:e>=25&&e<=155?n=1*t:a=1*t,[r,n,a]}function w5e(e,t,r){let n=e[0]-t[0],a=e[0]-r[0],s=t[0]-r[0],i=e[1]-t[1],o=e[1]-r[1],l=t[1]-r[1],u=e[2]-t[2],d=e[2]-r[2],h=t[2]-r[2],p=Math.sqrt(n*n+i*i+u*u),c=Math.sqrt(a*a+o*o+d*d),m=Math.sqrt(s*s+l*l+h*h),f=(m*m+p*p-c*c)/(2*m*p);f>1?f=1:f<-1&&(f=-1);let g=Math.acos(f);g=57.2958*g%180;let y;return g>Zl.NO_CURL_START_LIMIT?y=to.none:g>Zl.HALF_CURL_START_LIMIT?y=to.half:y=to.full,y}function gN(e,t,r,n){let a;return n===Math.abs(e)?e>0?a=Bt.horizontalLeft:a=Bt.horizontalRight:n===Math.abs(t)?t>0?a=Bt.horizontalLeft:a=Bt.horizontalRight:r>0?a=Bt.horizontalLeft:a=Bt.horizontalRight,a}function yN(e,t,r,n){let a;return n===Math.abs(e)?e<0?a=Bt.verticalDown:a=Bt.verticalUp:n===Math.abs(t)?t<0?a=Bt.verticalDown:a=Bt.verticalUp:r<0?a=Bt.verticalDown:a=Bt.verticalUp,a}function k5e(e,t,r,n,a,s,i,o){let l,u=yN(e,t,r,n),d=gN(a,s,i,o);return u===Bt.verticalUp?d===Bt.horizontalLeft?l=Bt.diagonalUpLeft:l=Bt.diagonalUpRight:d===Bt.horizontalLeft?l=Bt.diagonalDownLeft:l=Bt.diagonalDownRight,l}function I5e(e,t,r,n){let a=e[0]-t[0],s=e[0]-r[0],i=t[0]-r[0],o=e[1]-t[1],l=e[1]-r[1],u=t[1]-r[1],d=Math.max(Math.abs(a),Math.abs(s),Math.abs(i)),h=Math.max(Math.abs(o),Math.abs(l),Math.abs(u)),p=0,c=0,m=0,f=h/(d+1e-5);f>1.5?p+=Zl.DISTANCE_VOTE_POWER:f>.66?c+=Zl.DISTANCE_VOTE_POWER:m+=Zl.DISTANCE_VOTE_POWER;let g=Math.sqrt(a*a+o*o),y=Math.sqrt(s*s+l*l),A=Math.sqrt(i*i+u*u),x=Math.max(g,y,A),b=e[0],w=e[1],I=r[0],T=r[1];x===g?(I=r[0],T=r[1]):x===A&&(b=t[0],w=t[1]);let O=mN([b,w],[I,T]),$=fN(O,Zl.TOTAL_ANGLE_VOTE_POWER);p+=$[0],c+=$[1],m+=$[2];for(let P of n){let z=fN(P,Zl.SINGLE_ANGLE_VOTE_POWER);p+=z[0],c+=z[1],m+=z[2]}let S;return p===Math.max(p,c,m)?S=yN(l,o,u,h):m===Math.max(c,m)?S=gN(s,a,i,d):S=k5e(l,o,u,h,s,a,i,d),S}function AN(e){let t=[],r=[],n=[],a=[];if(!e)return{curls:n,directions:a};for(let s of Jr.all){let i=Jr.getPoints(s),o=[],l=[];for(let u of i){let d=e[u[0]],h=e[u[1]],p=mN(d,h),c=p[0],m=p[1];o.push(c),l.push(m)}t.push(o),r.push(l)}for(let s of Jr.all){let i=s===Jr.thumb?1:0,o=Jr.getPoints(s),l=e[o[i][0]],u=e[o[i+1][1]],d=e[o[3][1]],h=w5e(l,u,d),p=I5e(l,u,d,t[s].slice(i));n[s]=h,a[s]=p}return{curls:n,directions:a}}function c1(e){if(!e||e.length===0)return null;let t=AN(e),r={};for(let n of Jr.all)r[Jr.getName(n)]={curl:to.getName(t.curls[n]),direction:Bt.getName(t.directions[n])};return r}function xN(e){let t=[];if(!e||e.length===0)return t;let r=AN(e);for(let n of hN){let a=n.matchAgainst(r.curls,r.directions);a>=v5e&&t.push({name:n.name,confidence:a})}return t}var bN={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]},Jd,Qd,vN;async function Dx(e,t){let r=await vN.estimateHands(e,t);if(!r)return[];let n=[];for(let a=0;ar[a].landmarks[h]);let i=r[a].landmarks,o=[Number.MAX_SAFE_INTEGER,Number.MAX_SAFE_INTEGER,0,0],l=[0,0,0,0];if(i&&i.length>0){for(let d of i)d[0]o[2]&&(o[2]=d[0]),d[1]>o[3]&&(o[3]=d[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=r[a].box?[Math.trunc(Math.max(0,r[a].box.topLeft[0])),Math.trunc(Math.max(0,r[a].box.topLeft[1])),Math.trunc(Math.min(e.shape[2]||0,r[a].box.bottomRight[0])-Math.max(0,r[a].box.topLeft[0])),Math.trunc(Math.min(e.shape[1]||0,r[a].box.bottomRight[1])-Math.max(0,r[a].box.topLeft[1]))]:[0,0,0,0],l=[r[a].box.topLeft[0]/(e.shape[2]||0),r[a].box.topLeft[1]/(e.shape[1]||0),(r[a].box.bottomRight[0]-r[a].box.topLeft[0])/(e.shape[2]||0),(r[a].box.bottomRight[1]-r[a].box.topLeft[1])/(e.shape[1]||0)];let u=c1(i);n.push({id:a,score:Math.round(100*r[a].confidence)/100,boxScore:Math.round(100*r[a].boxConfidence)/100,fingerScore:Math.round(100*r[a].fingerConfidence)/100,label:"hand",box:o,boxRaw:l,keypoints:i,annotations:s,landmarks:u})}return n}async function Lx(e){var r,n;he.initial&&(Jd=null,Qd=null),!Jd||!Qd?[Jd,Qd]=await Promise.all([e.hand.enabled?Ge((r=e.hand.detector)==null?void 0:r.modelPath):null,e.hand.landmarks?Ge((n=e.hand.skeleton)==null?void 0:n.modelPath):null]):(e.debug&&se("cached model:",Jd.modelUrl),e.debug&&se("cached model:",Qd.modelUrl));let t=new p1(Jd);return vN=new h1(t,Qd),[Jd,Qd]}var pr=[null,null],S5e=["StatefulPartitionedCall/Postprocessor/Slice","StatefulPartitionedCall/Postprocessor/ExpandDims_1"],so=[[0,0],[0,0]],C5e=["hand","fist","pinch","point","face","tip","pinchtip"],kN=4,IN=1.6,T5e=512,N5e=1.4,f1=Number.MAX_SAFE_INTEGER,Bx=0,cs=[0,0],Ht={boxes:[],hands:[]},SN={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],base:[0],palm:[0,17,13,9,5,1,0]};async function CN(e){var t;if(he.initial&&(pr[0]=null),pr[0])e.debug&&se("cached model:",pr[0].modelUrl);else{m1(["tensorlistreserve","enter","tensorlistfromtensor","merge","loopcond","switch","exit","tensorliststack","nextiteration","tensorlistsetitem","tensorlistgetitem","reciprocal","shape","split","where"],e),pr[0]=await Ge((t=e.hand.detector)==null?void 0:t.modelPath);let r=Object.values(pr[0].modelSignature.inputs);so[0][0]=Array.isArray(r)?parseInt(r[0].tensorShape.dim[1].size):0,so[0][1]=Array.isArray(r)?parseInt(r[0].tensorShape.dim[2].size):0}return pr[0]}async function TN(e){var t;if(he.initial&&(pr[1]=null),pr[1])e.debug&&se("cached model:",pr[1].modelUrl);else{pr[1]=await Ge((t=e.hand.skeleton)==null?void 0:t.modelPath);let r=Object.values(pr[1].modelSignature.inputs);so[1][0]=Array.isArray(r)?parseInt(r[0].tensorShape.dim[1].size):0,so[1][1]=Array.isArray(r)?parseInt(r[0].tensorShape.dim[2].size):0}return pr[1]}async function E5e(e,t){let r=[];if(!e||!pr[0])return r;let n={},a=(e.shape[2]||1)/(e.shape[1]||1),s=Math.min(Math.round((e.shape[1]||0)/8)*8,T5e),i=Math.round(s*a/8)*8;n.resize=Ie.resizeBilinear(e,[s,i]),n.cast=me(n.resize,"int32"),[n.rawScores,n.rawBoxes]=await pr[0].executeAsync(n.cast,S5e),n.boxes=et(n.rawBoxes,[0,2]),n.scores=et(n.rawScores,[0]);let o=an(n.scores,1);te(o[kN]),o.splice(kN,1),n.filtered=ur(o,1),te(o),n.max=yr(n.filtered,1),n.argmax=$n(n.filtered,1);let l=0;n.nms=await Ie.nonMaxSuppressionAsync(n.boxes,n.max,(t.hand.maxDetected||0)+1,t.hand.iouThreshold||0,t.hand.minConfidence||1);let u=await n.nms.data(),d=await n.max.data(),h=await n.argmax.data();for(let p of Array.from(u)){let c=_e(n.boxes,p,1),m=await c.data();te(c);let f=[m[1],m[0],m[3]-m[1],m[2]-m[0]],g=t1(f,N5e),y=[Math.trunc(f[0]*cs[0]),Math.trunc(f[1]*cs[1]),Math.trunc(f[2]*cs[0]),Math.trunc(f[3]*cs[1])],A=d[p],x=C5e[h[p]],b={id:l++,score:A,box:y,boxRaw:g,label:x};r.push(b)}return Object.keys(n).forEach(p=>te(n[p])),r.sort((p,c)=>c.score-p.score),r.length>(t.hand.maxDetected||1)&&(r.length=t.hand.maxDetected||1),r}async function Wx(e,t,r){let n={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&&pr[1]&&r.hand.landmarks&&t.score>(r.hand.minConfidence||0)){let a={},s=[t.boxRaw[1],t.boxRaw[0],t.boxRaw[3]+t.boxRaw[1],t.boxRaw[2]+t.boxRaw[0]];a.crop=Ie.cropAndResize(e,[s],[0],[so[1][0],so[1][1]],"bilinear"),a.div=pe(a.crop,Qe.tf255),[a.score,a.keypoints]=pr[1].execute(a.div,["Identity_1","Identity"]);let i=(await a.score.data())[0],o=(100-Math.trunc(100/(1+Math.exp(i))))/100;if(o>=(r.hand.minConfidence||0)){n.fingerScore=o,a.reshaped=U(a.keypoints,[-1,3]);let d=(await a.reshaped.array()).map(h=>[h[0]/so[1][1],h[1]/so[1][0],h[2]||0]).map(h=>[h[0]*t.boxRaw[2],h[1]*t.boxRaw[3],h[2]||0]);n.keypoints=d.map(h=>[cs[0]*(h[0]+t.boxRaw[0]),cs[1]*(h[1]+t.boxRaw[1]),h[2]||0]),n.landmarks=c1(n.keypoints);for(let h of Object.keys(SN))n.annotations[h]=SN[h].map(p=>n.landmarks&&n.keypoints[p]?n.keypoints[p]:null)}Object.keys(a).forEach(l=>te(a[l]))}return n}async function Vx(e,t){var a,s;if(!pr[0]||!pr[1]||!((a=pr[0])!=null&&a.inputs[0].shape)||!((s=pr[1])!=null&&s.inputs[0].shape))return[];cs=[e.shape[2]||0,e.shape[1]||0],f1++;let r=(t.hand.skipTime||0)>oe()-Bx,n=f1<(t.hand.skipFrames||0);return t.skipAllowed&&r&&n?Ht.hands:new Promise(async i=>{let o=3*(t.hand.skipTime||0)>oe()-Bx,l=f1<3*(t.hand.skipFrames||0);t.skipAllowed&&Ht.hands.length===t.hand.maxDetected?Ht.hands=await Promise.all(Ht.boxes.map(d=>Wx(e,d,t))):t.skipAllowed&&o&&l&&Ht.hands.length>0?Ht.hands=await Promise.all(Ht.boxes.map(d=>Wx(e,d,t))):(Ht.boxes=await E5e(e,t),Bx=oe(),Ht.hands=await Promise.all(Ht.boxes.map(d=>Wx(e,d,t))),f1=0);let u=[...Ht.boxes];if(Ht.boxes.length=0,t.cacheSensitivity>0)for(let d=0;d.05&&h.box[3]/(e.shape[1]||1)>.05&&Ht.hands[d].fingerScore&&Ht.hands[d].fingerScore>(t.hand.minConfidence||0)){let 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UN(e){let t=e.reduce(({maxX:r,maxY:n,minX:a,minY:s},{position:{x:i,y:o}})=>({maxX:Math.max(r,i),maxY:Math.max(n,o),minX:Math.min(a,i),minY:Math.min(s,o)}),{maxX:Number.NEGATIVE_INFINITY,maxY:Number.NEGATIVE_INFINITY,minX:Number.POSITIVE_INFINITY,minY:Number.POSITIVE_INFINITY});return[t.minX,t.minY,t.maxX-t.minX,t.maxY-t.minY]}function GN(e,[t,r],[n,a]){let s=t/n,i=r/a,o=(u,d)=>({id:d,score:u.score,boxRaw:[u.box[0]/a,u.box[1]/n,u.box[2]/a,u.box[3]/n],box:[Math.trunc(u.box[0]*i),Math.trunc(u.box[1]*s),Math.trunc(u.box[2]*i),Math.trunc(u.box[3]*s)],keypoints:u.keypoints.map(({score:h,part:p,position:c})=>({score:h,part:p,position:[Math.trunc(c.x*i),Math.trunc(c.y*s)],positionRaw:[c.x/n,c.y/n]})),annotations:{}});return e.map((u,d)=>o(u,d))}var k1=class{constructor(t,r){fe(this,"priorityQueue");fe(this,"numberOfElements");fe(this,"getElementValue");this.priorityQueue=new 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Ue=e=>[Math.abs(e.endPoint[0]-e.startPoint[0]),Math.abs(e.endPoint[1]-e.startPoint[1])],V2=e=>[e.startPoint[0]+(e.endPoint[0]-e.startPoint[0])/2,e.startPoint[1]+(e.endPoint[1]-e.startPoint[1])/2,1],D2=(e,t)=>e?[Math.trunc(Math.max(0,e.startPoint[0])),Math.trunc(Math.max(0,e.startPoint[1])),Math.trunc(Math.min(t.shape[2]||0,e.endPoint[0])-Math.max(0,e.startPoint[0])),Math.trunc(Math.min(t.shape[1]||0,e.endPoint[1])-Math.max(0,e.startPoint[1]))]:[0,0,0,0],Z2=(e,t)=>e?[e.startPoint[0]/(t.shape[2]||0),e.startPoint[1]/(t.shape[1]||0),(e.endPoint[0]-e.startPoint[0])/(t.shape[2]||0),(e.endPoint[1]-e.startPoint[1])/(t.shape[1]||0)]:[0,0,0,0],Dt=(e,t)=>{let o=[e.startPoint[0]*t[0],e.startPoint[1]*t[1]],n=[e.endPoint[0]*t[0],e.endPoint[1]*t[1]];return{startPoint:o,endPoint:n,landmarks:e.landmarks,confidence:e.confidence}},q5=(e,t,o)=>{let n=t.shape[1],r=t.shape[2],A=[e.startPoint[1]/n,e.startPoint[0]/r,e.endPoint[1]/n,e.endPoint[0]/r],s=se.image.cropAndResize(t,[A],[0],o),a=se.div(s,B.tf255);return se.dispose(s),a},X2=(e,t)=>{let o=V2(e),n=Ue(e),r=[t*n[0]/2,t*n[1]/2];return{startPoint:[o[0]-r[0],o[1]-r[1]],endPoint:[o[0]+r[0],o[1]+r[1]],landmarks:e.landmarks,confidence:e.confidence}},q2=e=>{let t=V2(e),o=Ue(e),n=Math.max(...o)/2;return{startPoint:[Math.round(t[0]-n),Math.round(t[1]-n)],endPoint:[Math.round(t[0]+n),Math.round(t[1]+n)],landmarks:e.landmarks,confidence:e.confidence}},Zt=e=>{let t=e.map(n=>n[0]),o=e.map(n=>n[1]);return{startPoint:[Math.min(...t),Math.min(...o)],endPoint:[Math.max(...t),Math.max(...o)],landmarks:e}},U5=[[1,0,0],[0,1,0],[0,0,1]],On=e=>e-2*Math.PI*Math.floor((e+Math.PI)/(2*Math.PI)),Ln=(e,t)=>On(Math.PI/2-Math.atan2(-(t[1]-e[1]),t[0]-e[0]));var Ht=(e,t)=>[[1,0,e],[0,1,t],[0,0,1]],Ie=(e,t)=>{let o=0;for(let n=0;n{let o=[];for(let n=0;n{let o=[],n=e.length;for(let r=0;r{let 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y=V2(t),c=[y[0]/o.shape[2],y[1]/o.shape[1]],l=se.image.rotateWithOffset(o,A,0,c);s=Xt(-A,y),a=q5(t,l,[n,n]),se.dispose(l)}else a=q5(t,o,[n,n]);else a=q5(t,o,[n,n]);return[A,s,a]}var Bn=e=>{let t=e.map(n=>n[0]),o=e.map(n=>n[1]);return[Math.min(...t)+(Math.max(...t)-Math.min(...t))/2,Math.min(...o)+(Math.max(...o)-Math.min(...o))/2]},Kt=(e,t)=>{let o=Bn(e),n=Ue(t);return{startPoint:[o[0]-n[0]/2,o[1]-n[1]/2],endPoint:[o[0]+n[0]/2,o[1]+n[1]/2]}};var Jt=6,Hn=1.4,_0,Qt=null,he=0,M2=null,Ye=()=>he;async function _t(e){var t;return v.initial&&(_0=null),_0?e.debug&&p("cached model:",_0.modelUrl):_0=await G((t=e.face.detector)==null?void 0:t.modelPath),he=_0.inputs[0].shape?_0.inputs[0].shape[2]:0,M2=O.scalar(he,"int32"),Qt=O.tensor2d(qt(he)),_0}function Vn(e){let t={};t.boxStarts=O.slice(e,[0,1],[-1,2]),t.centers=O.add(t.boxStarts,Qt),t.boxSizes=O.slice(e,[0,3],[-1,2]),t.boxSizesNormalized=O.div(t.boxSizes,M2),t.centersNormalized=O.div(t.centers,M2),t.halfBoxSize=O.div(t.boxSizesNormalized,B.tf2),t.starts=O.sub(t.centersNormalized,t.halfBoxSize),t.ends=O.add(t.centersNormalized,t.halfBoxSize),t.startNormalized=O.mul(t.starts,M2),t.endNormalized=O.mul(t.ends,M2);let o=O.concat2d([t.startNormalized,t.endNormalized],1);return Object.keys(t).forEach(n=>O.dispose(t[n])),o}async function $t(e,t){var a,i,y,c;if(!e||e.isDisposedInternal||e.shape.length!==4||e.shape[1]<1||e.shape[2]<1)return[];let o={};o.resized=O.image.resizeBilinear(e,[he,he]),o.div=O.div(o.resized,B.tf127),o.normalized=O.sub(o.div,B.tf05);let n=_0==null?void 0:_0.execute(o.normalized);if(Array.isArray(n)&&n.length>2){let l=n.sort((x,f)=>x.size-f.size);o.concat384=O.concat([l[0],l[2]],2),o.concat512=O.concat([l[1],l[3]],2),o.concat=O.concat([o.concat512,o.concat384],1),o.batch=O.squeeze(o.concat,0)}else Array.isArray(n)?o.batch=O.squeeze(n[0]):o.batch=O.squeeze(n);O.dispose(n),o.boxes=Vn(o.batch),o.logits=O.slice(o.batch,[0,0],[-1,1]),o.sigmoid=O.sigmoid(o.logits),o.scores=O.squeeze(o.sigmoid),o.nms=await O.image.nonMaxSuppressionAsync(o.boxes,o.scores,((a=t.face.detector)==null?void 0:a.maxDetected)||0,((i=t.face.detector)==null?void 0:i.iouThreshold)||0,((y=t.face.detector)==null?void 0:y.minConfidence)||0);let r=await o.nms.array(),A=[],s=await o.scores.data();for(let l=0;l(((c=t.face.detector)==null?void 0:c.minConfidence)||0)){let f={};f.bbox=O.slice(o.boxes,[r[l],0],[1,-1]),f.slice=O.slice(o.batch,[r[l],Jt-1],[1,-1]),f.squeeze=O.squeeze(f.slice),f.landmarks=O.reshape(f.squeeze,[Jt,-1]);let u=await f.bbox.data(),m={startPoint:[u[0],u[1]],endPoint:[u[2],u[3]],landmarks:await f.landmarks.array(),confidence:x},M=Dt(m,[(e.shape[2]||0)/he,(e.shape[1]||0)/he]),g=X2(M,t.face.scale||Hn),b=q2(g);A.push(b),Object.keys(f).forEach(d=>O.dispose(f[d]))}}return Object.keys(o).forEach(l=>O.dispose(o[l])),A}var C0=D(H());var U2={};Se(U2,{connected:()=>J5,kpt:()=>K5});var K5=["nose","leftEyeInside","leftEye","leftEyeOutside","rightEyeInside","rightEye","rightEyeOutside","leftEar","rightEar","leftMouth","rightMouth","leftShoulder","rightShoulder","leftElbow","rightElbow","leftWrist","rightWrist","leftPinky","rightPinky","leftIndex","rightIndex","leftThumb","rightThumb","leftHip","rightHip","leftKnee","rightKnee","leftAnkle","rightAnkle","leftHeel","rightHeel","leftFoot","rightFoot","bodyCenter","bodyTop","leftPalm","leftHand","rightPalm","rightHand"],J5={shoulders:["leftShoulder","rightShoulder"],hips:["rightHip","leftHip"],mouth:["leftMouth","rightMouth"],leftLegUpper:["leftHip","leftKnee"],leftLegLower:["leftKnee","leftAnkle"],leftFoot:["leftAnkle","leftHeel","leftFoot"],leftTorso:["leftShoulder","leftHip"],leftArmUpper:["leftShoulder","leftElbow"],leftArmLower:["leftElbow","leftWrist"],leftHand:["leftWrist","leftPalm"],leftHandPinky:["leftPalm","leftPinky"],leftHandIndex:["leftPalm","leftIndex"],leftHandThumb:["leftPalm","leftThumb"],leftEyeOutline:["leftEyeInside","leftEyeOutside"],rightLegUpper:["rightHip","rightKnee"],rightLegLower:["rightKnee","rightAnkle"],rightFoot:["rightAnkle","rightHeel","rightFoot"],rightTorso:["rightShoulder","rightHip"],rightArmUpper:["rightShoulder","rightElbow"],rightArmLower:["rightElbow","rightWrist"],rightHand:["rightWrist","rightPalm"],rightHandPinky:["rightPalm","rightPinky"],rightHandIndex:["rightPalm","rightIndex"],rightHandThumb:["rightPalm","rightThumb"],rightEyeOutline:["rightEyeInside","rightEyeOutside"]};var z0=D(H()),t3=224,Dn,Zn=5,Y2=[8,16,32,32,32];async function o3(){let e=[],t=0;for(;to.x)),y:z0.tensor1d(e.map(o=>o.y))}}function ae(e,t=[1,1]){let o=[e.map(a=>a[0]),e.map(a=>a[1])],n=[Math.min(...o[0]),Math.min(...o[1])],r=[Math.max(...o[0]),Math.max(...o[1])],A=[n[0],n[1],r[0]-n[0],r[1]-n[1]],s=[A[0]/t[0],A[1]/t[1],A[2]/t[0],A[3]/t[1]];return{box:A,boxRaw:s}}function n3(e,t=[1,1]){let o=[e.map(y=>y[0]),e.map(y=>y[1])],n=[Math.min(...o[0]),Math.min(...o[1])],r=[Math.max(...o[0]),Math.max(...o[1])],A=[(n[0]+r[0])/2,(n[1]+r[1])/2],s=Math.max(A[0]-n[0],A[1]-n[1],-A[0]+r[0],-A[1]+r[1]),a=[Math.trunc(A[0]-s),Math.trunc(A[1]-s),Math.trunc(2*s),Math.trunc(2*s)],i=[a[0]/t[0],a[1]/t[1],a[2]/t[0],a[3]/t[1]];return{box:a,boxRaw:i}}function K2(e,t){let o=[e[2]*t,e[3]*t];return[e[0]-(o[0]-e[2])/2,e[1]-(o[1]-e[3])/2,o[0],o[1]]}var s3={initial:!0},S0={detector:null,landmarks:null},Ke={detector:[224,224],landmarks:[256,256]},Q5=Number.MAX_SAFE_INTEGER,qn={landmarks:["ld_3d","activation_segmentation","activation_heatmap","world_3d","output_poseflag"],detector:[]},Q2=null,R2,be=[[0,0],[0,0],[0,0],[0,0]],r3=0,A3=e=>1-1/(1+Math.exp(e));async function a3(e){if(s3.initial&&(S0.detector=null),!S0.detector&&e.body.detector&&e.body.detector.modelPath){S0.detector=await G(e.body.detector.modelPath);let t=Object.values(S0.detector.modelSignature.inputs);Ke.detector[0]=Array.isArray(t)?parseInt(t[0].tensorShape.dim[1].size):0,Ke.detector[1]=Array.isArray(t)?parseInt(t[0].tensorShape.dim[2].size):0}else e.debug&&S0.detector&&p("cached model:",S0.detector.modelUrl);return await o3(),S0.detector}async function i3(e){if(s3.initial&&(S0.landmarks=null),S0.landmarks)e.debug&&p("cached model:",S0.landmarks.modelUrl);else{S0.landmarks=await G(e.body.modelPath);let t=Object.values(S0.landmarks.modelSignature.inputs);Ke.landmarks[0]=Array.isArray(t)?parseInt(t[0].tensorShape.dim[1].size):0,Ke.landmarks[1]=Array.isArray(t)?parseInt(t[0].tensorShape.dim[2].size):0}return S0.landmarks}async function Un(e,t){let o={};if(!e.shape||!e.shape[1]||!e.shape[2])return e;let n;if(R2&&(o.cropped=C0.image.cropAndResize(e,[R2],[0],[e.shape[1],e.shape[2]])),e.shape[1]!==e.shape[2]){let r=[e.shape[2]>e.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],A=[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];be=[[0,0],r,A,[0,0]],o.pad=C0.pad(o.cropped||e,be),o.resize=C0.image.resizeBilinear(o.pad,[t,t]),n=C0.div(o.resize,B.tf255)}else e.shape[1]!==t?(o.resize=C0.image.resizeBilinear(o.cropped||e,[t,t]),n=C0.div(o.resize,B.tf255)):n=C0.div(o.cropped||e,B.tf255);return Object.keys(o).forEach(r=>C0.dispose(o[r])),n}function Yn(e,t){for(let o of e)o.position=[Math.trunc(o.position[0]*(t[0]+be[2][0]+be[2][1])/t[0]-be[2][0]),Math.trunc(o.position[1]*(t[1]+be[1][0]+be[1][1])/t[1]-be[1][0]),o.position[2]],o.positionRaw=[o.position[0]/t[0],o.position[1]/t[1],2*o.position[2]/(t[0]+t[1])];if(R2)for(let o of e)o.positionRaw=[o.positionRaw[0]+R2[1],o.positionRaw[1]+R2[0],o.positionRaw[2]],o.position=[Math.trunc(o.positionRaw[0]*t[0]),Math.trunc(o.positionRaw[1]*t[1]),o.positionRaw[2]];return e}async function Kn(e){let t=e.find(a=>a.part==="leftPalm"),o=e.find(a=>a.part==="leftWrist"),n=e.find(a=>a.part==="leftIndex");t.position[2]=((o.position[2]||0)+(n.position[2]||0))/2;let r=e.find(a=>a.part==="rightPalm"),A=e.find(a=>a.part==="rightWrist"),s=e.find(a=>a.part==="rightIndex");r.position[2]=((A.position[2]||0)+(s.position[2]||0))/2}async function Jn(e,t,o){var u;let n={};[n.ld,n.segmentation,n.heatmap,n.world,n.poseflag]=(u=S0.landmarks)==null?void 0:u.execute(e,qn.landmarks);let r=(await n.poseflag.data())[0],A=await n.ld.data(),s=await n.world.data();Object.keys(n).forEach(m=>C0.dispose(n[m]));let a=[],i=5;for(let m=0;mm.position),l=ae(c,[o[0],o[1]]),x={};for(let[m,M]of Object.entries(J5)){let g=[];for(let b=0;bS.part===M[b]),P=y.find(S=>S.part===M[b+1]);d&&P&&g.push([d.position,P.position])}x[m]=g}return{id:0,score:Math.trunc(100*r)/100,box:l.box,boxRaw:l.boxRaw,keypoints:y,annotations:x}}async function _5(e,t){let o=[e.shape[2]||0,e.shape[1]||0],n=(t.body.skipTime||0)>h()-r3,r=Q5<(t.body.skipFrames||0);if(t.skipAllowed&&n&&r&&Q2!==null)Q5++;else{let A={};A.landmarks=await Un(e,256),Q2=await Jn(A.landmarks,t,o),Object.keys(A).forEach(s=>C0.dispose(A[s])),r3=h(),Q5=0}return Q2?[Q2]:[]}var R0=D(H());var Je=[{class:1,label:"person"},{class:2,label:"bicycle"},{class:3,label:"car"},{class:4,label:"motorcycle"},{class:5,label:"airplane"},{class:6,label:"bus"},{class:7,label:"train"},{class:8,label:"truck"},{class:9,label:"boat"},{class:10,label:"traffic 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glass"},{class:42,label:"cup"},{class:43,label:"fork"},{class:44,label:"knife"},{class:45,label:"spoon"},{class:46,label:"bowl"},{class:47,label:"banana"},{class:48,label:"apple"},{class:49,label:"sandwich"},{class:50,label:"orange"},{class:51,label:"broccoli"},{class:52,label:"carrot"},{class:53,label:"hot dog"},{class:54,label:"pizza"},{class:55,label:"donut"},{class:56,label:"cake"},{class:57,label:"chair"},{class:58,label:"couch"},{class:59,label:"potted plant"},{class:60,label:"bed"},{class:61,label:"dining table"},{class:62,label:"toilet"},{class:63,label:"tv"},{class:64,label:"laptop"},{class:65,label:"mouse"},{class:66,label:"remote"},{class:67,label:"keyboard"},{class:68,label:"cell phone"},{class:69,label:"microwave"},{class:70,label:"oven"},{class:71,label:"toaster"},{class:72,label:"sink"},{class:73,label:"refrigerator"},{class:74,label:"book"},{class:75,label:"clock"},{class:76,label:"vase"},{class:77,label:"scissors"},{class:78,label:"teddy bear"},{class:79,label:"hair drier"},{class:80,label:"toothbrush"}];var ie,Ne=0,$5=[],y3=0,e1=Number.MAX_SAFE_INTEGER;async function x3(e){if(v.initial&&(ie=null),ie)e.debug&&p("cached model:",ie.modelUrl);else{ie=await G(e.object.modelPath);let t=Object.values(ie.modelSignature.inputs);Ne=Array.isArray(t)?parseInt(t[0].tensorShape.dim[2].size):0}return ie}async function Qn(e,t,o){if(!e)return[];let n={},r=[],A=await e.array();n.squeeze=R0.squeeze(e);let s=R0.split(n.squeeze,6,1);n.stack=R0.stack([s[1],s[0],s[3],s[2]],1),n.boxes=R0.squeeze(n.stack),n.scores=R0.squeeze(s[4]),n.classes=R0.squeeze(s[5]),R0.dispose([e,...s]),n.nms=await R0.image.nonMaxSuppressionAsync(n.boxes,n.scores,o.object.maxDetected,o.object.iouThreshold,o.object.minConfidence||0);let a=await n.nms.data(),i=0;for(let y of Array.from(a)){let c=Math.trunc(100*A[0][y][4])/100,l=A[0][y][5],x=Je[l].label,[f,u]=[A[0][y][0]/Ne,A[0][y][1]/Ne],m=[f,u,A[0][y][2]/Ne-f,A[0][y][3]/Ne-u],M=[Math.trunc(m[0]*t[0]),Math.trunc(m[1]*t[1]),Math.trunc(m[2]*t[0]),Math.trunc(m[3]*t[1])];r.push({id:i++,score:c,class:l,label:x,box:M,boxRaw:m})}return Object.keys(n).forEach(y=>R0.dispose(n[y])),r}async function t1(e,t){let o=(t.object.skipTime||0)>h()-y3,n=e1<(t.object.skipFrames||0);return t.skipAllowed&&o&&n&&$5.length>0?(e1++,$5):(e1=0,new Promise(async r=>{let A=[e.shape[2]||0,e.shape[1]||0],s=R0.image.resizeBilinear(e,[Ne,Ne]),a=t.object.enabled?ie==null?void 0:ie.execute(s,["tower_0/detections"]):null;y3=h(),R0.dispose(s);let i=await Qn(a,A,t);$5=i,r(i)}))}var _=D(H());var _2={};Se(_2,{connected:()=>n1,kpt:()=>o1});var o1=["head","neck","rightShoulder","rightElbow","rightWrist","chest","leftShoulder","leftElbow","leftWrist","bodyCenter","rightHip","rightKnee","rightAnkle","leftHip","leftKnee","leftAnkle"],n1={leftLeg:["leftHip","leftKnee","leftAnkle"],rightLeg:["rightHip","rightKnee","rightAnkle"],torso:["leftShoulder","rightShoulder","rightHip","leftHip","leftShoulder"],leftArm:["leftShoulder","leftElbow","leftWrist"],rightArm:["rightShoulder","rightElbow","rightWrist"],head:[]};var h0,d3=0,v0={id:0,keypoints:[],box:[0,0,0,0],boxRaw:[0,0,0,0],score:0,annotations:{}},r1=Number.MAX_SAFE_INTEGER;async function f3(e){return v.initial&&(h0=null),h0?e.debug&&p("cached model:",h0.modelUrl):h0=await G(e.body.modelPath),h0}async function _n(e,t){let[o,n]=e.shape,r=_.reshape(e,[n*o]),A=_.max(r,0),s=(await A.data())[0];if(_.dispose([r,A]),s>t){let a=_.argMax(r,0),i=_.mod(a,o),y=(await i.data())[0],c=_.div(a,_.scalar(o,"int32")),l=(await c.data())[0];return _.dispose([i,c]),[y,l,s]}return[0,0,s]}async function A1(e,t){let o=(t.body.skipTime||0)>h()-d3,n=r1<(t.body.skipFrames||0);return t.skipAllowed&&o&&n&&Object.keys(v0.keypoints).length>0?(r1++,[v0]):(r1=0,new Promise(async r=>{var l;let A=_.tidy(()=>{if(!(h0!=null&&h0.inputs[0].shape))return null;let x=_.image.resizeBilinear(e,[h0.inputs[0].shape[2],h0.inputs[0].shape[1]],!1),f=_.mul(x,B.tf2);return _.sub(f,B.tf1)}),s;if(t.body.enabled&&(s=h0==null?void 0:h0.execute(A)),d3=h(),_.dispose(A),s){v0.keypoints.length=0;let x=s.squeeze();_.dispose(s);let f=x.unstack(2);_.dispose(x);for(let u=0;u(((l=t.body)==null?void 0:l.minConfidence)||0)&&v0.keypoints.push({score:Math.round(100*g)/100,part:o1[u],positionRaw:[m/h0.inputs[0].shape[2],M/h0.inputs[0].shape[1]],position:[Math.round(e.shape[2]*m/h0.inputs[0].shape[2]),Math.round(e.shape[1]*M/h0.inputs[0].shape[1])]})}f.forEach(u=>_.dispose(u))}v0.score=v0.keypoints.reduce((x,f)=>f.score>x?f.score:x,0);let a=v0.keypoints.map(x=>x.position[0]),i=v0.keypoints.map(x=>x.position[1]);v0.box=[Math.min(...a),Math.min(...i),Math.max(...a)-Math.min(...a),Math.max(...i)-Math.min(...i)];let y=v0.keypoints.map(x=>x.positionRaw[0]),c=v0.keypoints.map(x=>x.positionRaw[1]);v0.boxRaw=[Math.min(...y),Math.min(...c),Math.max(...y)-Math.min(...y),Math.max(...c)-Math.min(...c)];for(let[x,f]of Object.entries(n1)){let u=[];for(let m=0;mb.part===f[m]),g=v0.keypoints.find(b=>b.part===f[m+1]);M&&g&&M.score>(t.body.minConfidence||0)&&g.score>(t.body.minConfidence||0)&&u.push([M.position,g.position])}v0.annotations[x]=u}r([v0])}))}var Z0=D(H());var $n=["angry","disgust","fear","happy","sad","surprise","neutral"],G0,$2=[],p3=0,u3=0,s1=Number.MAX_SAFE_INTEGER;async function h3(e){var t;return v.initial&&(G0=null),G0?e.debug&&p("cached model:",G0.modelUrl):G0=await G((t=e.face.emotion)==null?void 0:t.modelPath),G0}async function a1(e,t,o,n){var s,a;if(!G0)return[];let r=s1<(((s=t.face.emotion)==null?void 0:s.skipFrames)||0),A=(((a=t.face.emotion)==null?void 0:a.skipTime)||0)>h()-u3;return t.skipAllowed&&A&&r&&p3===n&&$2[o]&&$2[o].length>0?(s1++,$2[o]):(s1=0,new Promise(async i=>{var c,l;let y=[];if((c=t.face.emotion)!=null&&c.enabled){let x={},f=G0!=null&&G0.inputs[0].shape?G0.inputs[0].shape[2]:0;x.resize=Z0.image.resizeBilinear(e,[f,f],!1),x.channels=Z0.mul(x.resize,B.rgb),x.grayscale=Z0.sum(x.channels,3,!0),x.grayscaleSub=Z0.sub(x.grayscale,B.tf05),x.grayscaleMul=Z0.mul(x.grayscaleSub,B.tf2),x.emotion=G0==null?void 0:G0.execute(x.grayscaleMul),u3=h();let u=await x.emotion.data();for(let m=0;m(((l=t.face.emotion)==null?void 0:l.minConfidence)||0)&&y.push({score:Math.min(.99,Math.trunc(100*u[m])/100),emotion:$n[m]});y.sort((m,M)=>M.score-m.score),Object.keys(x).forEach(m=>Z0.dispose(x[m]))}$2[o]=y,p3=n,i(y)}))}var R3=D(H());var j0,i1=[],g3=0,P3=0,M3=Number.MAX_SAFE_INTEGER;async function v3(e){return v.initial&&(j0=null),j0?e.debug&&p("cached model:",j0.modelUrl):j0=await G(e.face.mobilefacenet.modelPath),j0}async function l1(e,t,o,n){var s,a;if(!j0)return[];let r=M3<(((s=t.face.embedding)==null?void 0:s.skipFrames)||0),A=(((a=t.face.embedding)==null?void 0:a.skipTime)||0)>h()-P3;return t.skipAllowed&&A&&r&&g3===n&&i1[o]?(M3++,i1[o]):new Promise(async i=>{var c;let y=[];if(((c=t.face.embedding)==null?void 0:c.enabled)&&(j0==null?void 0:j0.inputs[0].shape)){let l={};l.crop=R3.image.resizeBilinear(e,[j0.inputs[0].shape[2],j0.inputs[0].shape[1]],!1),l.data=j0==null?void 0:j0.execute(l.crop);let x=await l.data.data();y=Array.from(x)}i1[o]=y,g3=n,P3=h(),i(y)})}var $e=D(H());var X0=D(H());var le,ge=0,er=2.3,y1=D0.leftEyeLower0,x1=D0.rightEyeLower0,Qe={leftBounds:[y1[0],y1[y1.length-1]],rightBounds:[x1[0],x1[x1.length-1]]},_e={upperCenter:3,lowerCenter:4,index:71,numCoordinates:76};async function z3(e){var t;return v.initial&&(le=null),le?e.debug&&p("cached model:",le.modelUrl):le=await G((t=e.face.iris)==null?void 0:t.modelPath),ge=le.inputs[0].shape?le.inputs[0].shape[2]:0,ge===-1&&(ge=64),le}function e5(e,t,o,n){for(let r=0;r{let t=e[Qe.leftBounds[0]][2],o=e[Qe.rightBounds[0]][2];return t-o},w3=(e,t,o,n,r,A=!1)=>{let s=q2(X2(Zt([e[o],e[n]]),er)),a=Ue(s),i=X0.image.cropAndResize(t,[[s.startPoint[1]/r,s.startPoint[0]/r,s.endPoint[1]/r,s.endPoint[0]/r]],[0],[ge,ge]);if(A&&v.kernels.includes("flipleftright")){let y=X0.image.flipLeftRight(i);X0.dispose(i),i=y}return{box:s,boxSize:a,crop:i}},k3=(e,t,o,n=!1)=>{let r=[];for(let A=0;A<_e.numCoordinates;A++){let s=e[A*3],a=e[A*3+1],i=e[A*3+2];r.push([(n?1-s/ge:s/ge)*o[0]+t.startPoint[0],a/ge*o[1]+t.startPoint[1],i])}return{rawCoords:r,iris:r.slice(_e.index)}},E3=(e,t,o)=>{let n=e[D0[`${o}EyeUpper0`][_e.upperCenter]][2],r=e[D0[`${o}EyeLower0`][_e.lowerCenter]][2],A=(n+r)/2;return t.map((s,a)=>{let i=A;return a===2?i=n:a===4&&(i=r),[s[0],s[1],i]})};async function S3(e,t,o,n){if(!le)return o.debug&&p("face mesh iris detection requested, but model is not loaded"),e;let{box:r,boxSize:A,crop:s}=w3(e,t,Qe.leftBounds[0],Qe.leftBounds[1],n,!0),{box:a,boxSize:i,crop:y}=w3(e,t,Qe.rightBounds[0],Qe.rightBounds[1],n,!0),c=X0.concat([s,y]);X0.dispose(s),X0.dispose(y);let l=le.execute(c);X0.dispose(c);let x=await l.data();X0.dispose(l);let f=x.slice(0,_e.numCoordinates*3),{rawCoords:u,iris:m}=k3(f,r,A,!0),M=x.slice(_e.numCoordinates*3),{rawCoords:g,iris:b}=k3(M,a,i,!1),d=tr(e);Math.abs(d)<30?(e5(e,u,"left",null),e5(e,g,"right",null)):d<1?e5(e,u,"left",["EyeUpper0","EyeLower0"]):e5(e,g,"right",["EyeUpper0","EyeLower0"]);let P=E3(e,m,"left"),S=E3(e,b,"right");return e.concat(P).concat(S)}var or=[[61,146],[146,91],[91,181],[181,84],[84,17],[17,314],[314,405],[405,321],[321,375],[375,291],[61,185],[185,40],[40,39],[39,37],[37,0],[0,267],[267,269],[269,270],[270,409],[409,291],[78,95],[95,88],[88,178],[178,87],[87,14],[14,317],[317,402],[402,318],[318,324],[324,308],[78,191],[191,80],[80,81],[81,82],[82,13],[13,312],[312,311],[311,310],[310,415],[415,308]],nr=[[263,249],[249,390],[390,373],[373,374],[374,380],[380,381],[381,382],[382,362],[263,466],[466,388],[388,387],[387,386],[386,385],[385,384],[384,398],[398,362]],rr=[[276,283],[283,282],[282,295],[295,285],[300,293],[293,334],[334,296],[296,336]],Ar=[[474,475],[475,476],[476,477],[477,474]],sr=[[33,7],[7,163],[163,144],[144,145],[145,153],[153,154],[154,155],[155,133],[33,246],[246,161],[161,160],[160,159],[159,158],[158,157],[157,173],[173,133]],ar=[[46,53],[53,52],[52,65],[65,55],[70,63],[63,105],[105,66],[66,107]],ir=[[469,470],[470,471],[471,472],[472,469]],lr=[[10,338],[338,297],[297,332],[332,284],[284,251],[251,389],[389,356],[356,454],[454,323],[323,361],[361,288],[288,397],[397,365],[365,379],[379,378],[378,400],[400,377],[377,152],[152,148],[148,176],[176,149],[149,150],[150,136],[136,172],[172,58],[58,132],[132,93],[93,234],[234,127],[127,162],[162,21],[21,54],[54,103],[103,67],[67,109],[109,10]];function Pe(e){let t=e.map(o=>o[0]);return t.push(e[e.length-1][1]),t}var yr={lips:Pe(or),leftEye:Pe(nr),leftEyebrow:Pe(rr),leftIris:Pe(Ar),rightEye:Pe(sr),rightEyebrow:Pe(ar),rightIris:Pe(ir),faceOval:Pe(lr)},xr=Object.entries(yr).map(([e,t])=>t.map(o=>[o,e])).flat(),P7=new Map(xr),v2=[61,146,91,181,84,17,314,405,321,375,291,185,40,39,37,0,267,269,270,409,78,95,88,178,87,14,317,402,318,324,308,191,80,81,82,13,312,311,310,415,76,77,90,180,85,16,315,404,320,307,306,184,74,73,72,11,302,303,304,408,62,96,89,179,86,15,316,403,319,325,292,183,42,41,38,12,268,271,272,407],Oe=[33,7,163,144,145,153,154,155,133,246,161,160,159,158,157,173,130,25,110,24,23,22,26,112,243,247,30,29,27,28,56,190,226,31,228,229,230,231,232,233,244,113,225,224,223,222,221,189,35,124,46,53,52,65,143,111,117,118,119,120,121,128,245,156,70,63,105,66,107,55,193],Le=[263,249,390,373,374,380,381,382,362,466,388,387,386,385,384,398,359,255,339,254,253,252,256,341,463,467,260,259,257,258,286,414,446,261,448,449,450,451,452,453,464,342,445,444,443,442,441,413,265,353,276,283,282,295,372,340,346,347,348,349,350,357,465,383,300,293,334,296,336,285,417];async function I3(e,t){let o={lips:await t.filter(A=>A.size===160)[0].data(),irisL:await t.filter(A=>A.size===10)[0].data(),eyeL:await t.filter(A=>A.size===142)[0].data(),irisR:await t.filter(A=>A.size===10)[1].data(),eyeR:await t.filter(A=>A.size===142)[1].data()},n=Oe.reduce((A,s)=>A+=e[s][2],0)/Oe.length;for(let A=0;AA+=e[s][2],0)/Le.length;for(let A=0;Ah()-$0.timestamp,n=$0.skipped<(((i=t.face.detector)==null?void 0:i.skipFrames)||0);!t.skipAllowed||!o||!n||$0.boxes.length===0?($0.boxes=await $t(e,t),$0.timestamp=h(),$0.skipped=0):$0.skipped++;let r=[],A=[],s=0;for(let b=0;b<$0.boxes.length;b++){let d=$0.boxes[b],P=0,S,w={id:s++,mesh:[],meshRaw:[],box:[0,0,0,0],boxRaw:[0,0,0,0],score:0,boxScore:0,faceScore:0,annotations:{}};if([P,S,w.tensor]=Yt((y=t.face.detector)==null?void 0:y.rotation,d,e,(c=t.face.mesh)!=null&&c.enabled?We:Ye()),(l=t==null?void 0:t.filter)!=null&&l.equalization){let j=await I2(w.tensor);$e.dispose(w.tensor),w.tensor=j}if(w.boxScore=Math.round(100*d.confidence)/100,(x=t.face.mesh)!=null&&x.enabled)if(!b0)t.debug&&p("face mesh detection requested, but model is not loaded");else{let 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Object.keys(D0))w.annotations[E]=D0[E].map(W0=>w.mesh[W0]);w.score=w.faceScore;let V={...Kt(w.mesh,d),confidence:d.confidence,landmarks:d.landmarks};w.box=D2(V,e),w.boxRaw=Z2(V,e),A.push(V)}$e.dispose([...j,U])}else{w.box=D2(d,e),w.boxRaw=Z2(d,e),w.score=w.boxScore,w.mesh=d.landmarks.map(j=>[(d.startPoint[0]+d.endPoint[0])/2+(d.endPoint[0]+d.startPoint[0])*j[0]/Ye(),(d.startPoint[1]+d.endPoint[1])/2+(d.endPoint[1]+d.startPoint[1])*j[1]/Ye()]),w.meshRaw=w.mesh.map(j=>[j[0]/(e.shape[2]||0),j[1]/(e.shape[1]||0),(j[2]||0)/We]);for(let j of Object.keys(Ce))w.annotations[j]=[w.mesh[Ce[j]]]}w.score>(((g=t.face.detector)==null?void 0:g.minConfidence)||1)?r.push(w):$e.dispose(w.tensor)}return $0.boxes=A,r}async function O3(e){var t,o,n,r,A,s;return v.initial&&(b0=null),((o=(t=e==null?void 0:e.face)==null?void 0:t.attention)==null?void 0:o.enabled)&&(b0==null?void 0:b0.signature)&&Object.keys(((n=b0==null?void 0:b0.signature)==null?void 0:n.outputs)||{}).length<6&&(b0=null),b0?e.debug&&p("cached model:",b0.modelUrl):(r=e.face.attention)!=null&&r.enabled?b0=await G((A=e.face.attention)==null?void 0:A.modelPath):b0=await G((s=e.face.mesh)==null?void 0:s.modelPath),We=b0.inputs[0].shape?b0.inputs[0].shape[2]:0,b0}var L3=je,W3=P2;var q0=D(H());var I0,t5=[],F3=0,G3=0,d1=Number.MAX_SAFE_INTEGER;async function B3(e){var t;return v.initial&&(I0=null),I0?e.debug&&p("cached model:",I0.modelUrl):I0=await G((t=e.face.description)==null?void 0:t.modelPath),I0}function f1(e){let t=e.image||e.tensor||e;if(!(I0!=null&&I0.inputs[0].shape))return t;let o=q0.image.resizeBilinear(t,[I0.inputs[0].shape[2],I0.inputs[0].shape[1]],!1),n=q0.mul(o,B.tf255);return q0.dispose(o),n}async function m1(e,t,o,n){var s,a,i,y;if(!I0)return{age:0,gender:"unknown",genderScore:0,descriptor:[]};let r=d1<(((s=t.face.description)==null?void 0:s.skipFrames)||0),A=(((a=t.face.description)==null?void 0:a.skipTime)||0)>h()-F3;return t.skipAllowed&&r&&A&&G3===n&&((i=t5[o])==null?void 0:i.age)&&((y=t5[o])==null?void 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T0.all)o[T0.getName(n)]={curl:ve.getName(t.curls[n]),direction:o0.getName(t.directions[n])};return o}function so(e){let t=[];if(!e||e.length===0)return t;let o=Ao(e);for(let n of $3){let r=n.matchAgainst(o.curls,o.directions);r>=vr&&t.push({name:n.name,confidence:r})}return t}var ao={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]},n2,r2,io;async function P1(e,t){let o=await io.estimateHands(e,t);if(!o)return[];let n=[];for(let r=0;ro[r].landmarks[l]);let s=o[r].landmarks,a=[Number.MAX_SAFE_INTEGER,Number.MAX_SAFE_INTEGER,0,0],i=[0,0,0,0];if(s&&s.length>0){for(let c of s)c[0]a[2]&&(a[2]=c[0]),c[1]>a[3]&&(a[3]=c[1]);a[2]-=a[0],a[3]-=a[1],i=[a[0]/(e.shape[2]||0),a[1]/(e.shape[1]||0),a[2]/(e.shape[2]||0),a[3]/(e.shape[1]||0)]}else a=o[r].box?[Math.trunc(Math.max(0,o[r].box.topLeft[0])),Math.trunc(Math.max(0,o[r].box.topLeft[1])),Math.trunc(Math.min(e.shape[2]||0,o[r].box.bottomRight[0])-Math.max(0,o[r].box.topLeft[0])),Math.trunc(Math.min(e.shape[1]||0,o[r].box.bottomRight[1])-Math.max(0,o[r].box.topLeft[1]))]:[0,0,0,0],i=[o[r].box.topLeft[0]/(e.shape[2]||0),o[r].box.topLeft[1]/(e.shape[1]||0),(o[r].box.bottomRight[0]-o[r].box.topLeft[0])/(e.shape[2]||0),(o[r].box.bottomRight[1]-o[r].box.topLeft[1])/(e.shape[1]||0)];let y=a5(s);n.push({id:r,score:Math.round(100*o[r].confidence)/100,boxScore:Math.round(100*o[r].boxConfidence)/100,fingerScore:Math.round(100*o[r].fingerConfidence)/100,label:"hand",box:a,boxRaw:i,keypoints:s,annotations:A,landmarks:y})}return n}async function M1(e){var o,n;v.initial&&(n2=null,r2=null),!n2||!r2?[n2,r2]=await Promise.all([e.hand.enabled?G((o=e.hand.detector)==null?void 0:o.modelPath):null,e.hand.landmarks?G((n=e.hand.skeleton)==null?void 0:n.modelPath):null]):(e.debug&&p("cached model:",n2.modelUrl),e.debug&&p("cached model:",r2.modelUrl));let t=new A5(n2);return io=new s5(t,r2),[n2,r2]}var J=D(H());var c0=[null,null],Er=["StatefulPartitionedCall/Postprocessor/Slice","StatefulPartitionedCall/Postprocessor/ExpandDims_1"],Ee=[[0,0],[0,0]],zr=["hand","fist","pinch","point","face","tip","pinchtip"],yo=4,xo=1.6,Sr=512,Cr=1.4,i5=Number.MAX_SAFE_INTEGER,R1=0,ce=[0,0],A0={boxes:[],hands:[]},co={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],base:[0],palm:[0,17,13,9,5,1,0]};async function fo(e){var t;if(v.initial&&(c0[0]=null),c0[0])e.debug&&p("cached model:",c0[0].modelUrl);else{l5(["tensorlistreserve","enter","tensorlistfromtensor","merge","loopcond","switch","exit","tensorliststack","nextiteration","tensorlistsetitem","tensorlistgetitem","reciprocal","shape","split","where"],e),c0[0]=await G((t=e.hand.detector)==null?void 0:t.modelPath);let o=Object.values(c0[0].modelSignature.inputs);Ee[0][0]=Array.isArray(o)?parseInt(o[0].tensorShape.dim[1].size):0,Ee[0][1]=Array.isArray(o)?parseInt(o[0].tensorShape.dim[2].size):0}return c0[0]}async function mo(e){var t;if(v.initial&&(c0[1]=null),c0[1])e.debug&&p("cached model:",c0[1].modelUrl);else{c0[1]=await G((t=e.hand.skeleton)==null?void 0:t.modelPath);let o=Object.values(c0[1].modelSignature.inputs);Ee[1][0]=Array.isArray(o)?parseInt(o[0].tensorShape.dim[1].size):0,Ee[1][1]=Array.isArray(o)?parseInt(o[0].tensorShape.dim[2].size):0}return c0[1]}async function jr(e,t){let o=[];if(!e||!c0[0])return o;let n={},r=(e.shape[2]||1)/(e.shape[1]||1),A=Math.min(Math.round((e.shape[1]||0)/8)*8,Sr),s=Math.round(A*r/8)*8;n.resize=J.image.resizeBilinear(e,[A,s]),n.cast=J.cast(n.resize,"int32"),[n.rawScores,n.rawBoxes]=await c0[0].executeAsync(n.cast,Er),n.boxes=J.squeeze(n.rawBoxes,[0,2]),n.scores=J.squeeze(n.rawScores,[0]);let a=J.unstack(n.scores,1);J.dispose(a[yo]),a.splice(yo,1),n.filtered=J.stack(a,1),J.dispose(a),n.max=J.max(n.filtered,1),n.argmax=J.argMax(n.filtered,1);let i=0;n.nms=await J.image.nonMaxSuppressionAsync(n.boxes,n.max,(t.hand.maxDetected||0)+1,t.hand.iouThreshold||0,t.hand.minConfidence||1);let y=await n.nms.data(),c=await n.max.data(),l=await n.argmax.data();for(let x of Array.from(y)){let f=J.slice(n.boxes,x,1),u=await f.data();J.dispose(f);let m=[u[1],u[0],u[3]-u[1],u[2]-u[0]],M=K2(m,Cr),g=[Math.trunc(m[0]*ce[0]),Math.trunc(m[1]*ce[1]),Math.trunc(m[2]*ce[0]),Math.trunc(m[3]*ce[1])],b=c[x],d=zr[l[x]],P={id:i++,score:b,box:g,boxRaw:M,label:d};o.push(P)}return Object.keys(n).forEach(x=>J.dispose(n[x])),o.sort((x,f)=>f.score-x.score),o.length>(t.hand.maxDetected||1)&&(o.length=t.hand.maxDetected||1),o}async function v1(e,t,o){let n={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&&c0[1]&&o.hand.landmarks&&t.score>(o.hand.minConfidence||0)){let r={},A=[t.boxRaw[1],t.boxRaw[0],t.boxRaw[3]+t.boxRaw[1],t.boxRaw[2]+t.boxRaw[0]];r.crop=J.image.cropAndResize(e,[A],[0],[Ee[1][0],Ee[1][1]],"bilinear"),r.div=J.div(r.crop,B.tf255),[r.score,r.keypoints]=c0[1].execute(r.div,["Identity_1","Identity"]);let s=(await r.score.data())[0],a=(100-Math.trunc(100/(1+Math.exp(s))))/100;if(a>=(o.hand.minConfidence||0)){n.fingerScore=a,r.reshaped=J.reshape(r.keypoints,[-1,3]);let c=(await r.reshaped.array()).map(l=>[l[0]/Ee[1][1],l[1]/Ee[1][0],l[2]||0]).map(l=>[l[0]*t.boxRaw[2],l[1]*t.boxRaw[3],l[2]||0]);n.keypoints=c.map(l=>[ce[0]*(l[0]+t.boxRaw[0]),ce[1]*(l[1]+t.boxRaw[1]),l[2]||0]),n.landmarks=a5(n.keypoints);for(let l of Object.keys(co))n.annotations[l]=co[l].map(x=>n.landmarks&&n.keypoints[x]?n.keypoints[x]:null)}Object.keys(r).forEach(i=>J.dispose(r[i]))}return n}async function T1(e,t){var r,A;if(!c0[0]||!c0[1]||!((r=c0[0])!=null&&r.inputs[0].shape)||!((A=c0[1])!=null&&A.inputs[0].shape))return[];ce=[e.shape[2]||0,e.shape[1]||0],i5++;let o=(t.hand.skipTime||0)>h()-R1,n=i5<(t.hand.skipFrames||0);return t.skipAllowed&&o&&n?A0.hands:new Promise(async s=>{let a=3*(t.hand.skipTime||0)>h()-R1,i=i5<3*(t.hand.skipFrames||0);t.skipAllowed&&A0.hands.length===t.hand.maxDetected?A0.hands=await Promise.all(A0.boxes.map(c=>v1(e,c,t))):t.skipAllowed&&a&&i&&A0.hands.length>0?A0.hands=await Promise.all(A0.boxes.map(c=>v1(e,c,t))):(A0.boxes=await jr(e,t),R1=h(),A0.hands=await Promise.all(A0.boxes.map(c=>v1(e,c,t))),i5=0);let y=[...A0.boxes];if(A0.boxes.length=0,t.cacheSensitivity>0)for(let c=0;c.05&&l.box[3]/(e.shape[1]||1)>.05&&A0.hands[c].fingerScore&&A0.hands[c].fingerScore>(t.hand.minConfidence||0)){let x=K2(l.box,xo),f=K2(l.boxRaw,xo);A0.boxes.push({...y[c],box:x,boxRaw:f})}}for(let c=0;ch()-ho,A=w1<(((a=t.face.liveness)==null?void 0:a.skipFrames)||0);return t.skipAllowed&&r&&A&&uo===n&&y5[o]?(w1++,y5[o]):(w1=0,new Promise(async i=>{let y=x5.image.resizeBilinear(e,[g0!=null&&g0.inputs[0].shape?g0.inputs[0].shape[2]:0,g0!=null&&g0.inputs[0].shape?g0.inputs[0].shape[1]:0],!1),c=g0==null?void 0:g0.execute(y),l=(await c.data())[0];y5[o]=Math.round(100*l)/100,uo=n,ho=h(),x5.dispose([y,c]),i(y5[o])}))}var To=D(H());var w2={};Se(w2,{connected:()=>d5,horizontal:()=>E1,kpt:()=>c5,relative:()=>S1,vertical:()=>z1});var c5=["nose","leftEye","rightEye","leftEar","rightEar","leftShoulder","rightShoulder","leftElbow","rightElbow","leftWrist","rightWrist","leftHip","rightHip","leftKnee","rightKnee","leftAnkle","rightAnkle"],E1=[["leftEye","rightEye"],["leftEar","rightEar"],["leftShoulder","rightShoulder"],["leftElbow","rightElbow"],["leftWrist","rightWrist"],["leftHip","rightHip"],["leftKnee","rightKnee"],["leftAnkle","rightAnkle"]],z1=[["leftKnee","leftShoulder"],["rightKnee","rightShoulder"],["leftAnkle","leftKnee"],["rightAnkle","rightKnee"]],S1=[[["leftHip","rightHip"],["leftShoulder","rightShoulder"]],[["leftElbow","rightElbow"],["leftShoulder","rightShoulder"]]],d5={leftLeg:["leftHip","leftKnee","leftAnkle"],rightLeg:["rightHip","rightKnee","rightAnkle"],torso:["leftShoulder","rightShoulder","rightHip","leftHip","leftShoulder"],leftArm:["leftShoulder","leftElbow","leftWrist"],rightArm:["rightShoulder","rightElbow","rightWrist"],head:[]};var ze=D(H()),Po=.005,O0={keypoints:[],padding:[[0,0],[0,0],[0,0],[0,0]]};function C1(e){for(let t of E1){let o=e.keypoints.findIndex(r=>r.part===t[0]),n=e.keypoints.findIndex(r=>r.part===t[1]);if(e.keypoints[o]&&e.keypoints[n]&&e.keypoints[o].position[0]r&&r.part===t[0]),n=e.keypoints.findIndex(r=>r&&r.part===t[1]);e.keypoints[o]&&e.keypoints[n]&&e.keypoints[o].position[1]y&&y.part===t[0]),r=e.keypoints.findIndex(y=>y&&y.part===t[1]),A=e.keypoints.findIndex(y=>y&&y.part===o[0]),s=e.keypoints.findIndex(y=>y&&y.part===o[1]);if(!e.keypoints[A]||!e.keypoints[s])continue;let a=e.keypoints[n]?[Math.abs(e.keypoints[A].position[0]-e.keypoints[n].position[0]),Math.abs(e.keypoints[s].position[0]-e.keypoints[n].position[0])]:[0,0],i=e.keypoints[r]?[Math.abs(e.keypoints[s].position[0]-e.keypoints[r].position[0]),Math.abs(e.keypoints[A].position[0]-e.keypoints[r].position[0])]:[0,0];if(a[0]>a[1]||i[0]>i[1]){let y=e.keypoints[n];e.keypoints[n]=e.keypoints[r],e.keypoints[r]=y}}}function Mo(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]],o.pad=ze.pad(e,O0.padding),o.resize=ze.image.resizeBilinear(o.pad,[t,t]);let n=ze.cast(o.resize,"int32");return Object.keys(o).forEach(r=>ze.dispose(o[r])),n}function vo(e,t){e.keypoints=e.keypoints.filter(n=>n&&n.position);for(let n of e.keypoints)n.position=[n.position[0]*(t[0]+O0.padding[2][0]+O0.padding[2][1])/t[0]-O0.padding[2][0],n.position[1]*(t[1]+O0.padding[1][0]+O0.padding[1][1])/t[1]-O0.padding[1][0]],n.positionRaw=[n.position[0]/t[0],n.position[1]/t[1]];let o=ae(e.keypoints.map(n=>n.position),t);return e.box=o.box,e.boxRaw=o.boxRaw,e}var L0,f5=0,j1=Number.MAX_SAFE_INTEGER,He={boxes:[],bodies:[],last:0};async function wo(e){return v.initial&&(L0=null),L0?e.debug&&p("cached model:",L0.modelUrl):(l5(["size"],e),L0=await G(e.body.modelPath)),f5=L0.inputs[0].shape?L0.inputs[0].shape[2]:0,f5<64&&(f5=256),L0}async function Nr(e,t,o){let n=e[0][0],r=[],A=0;for(let c=0;ct.body.minConfidence){let l=[n[c][1],n[c][0]];r.push({score:Math.round(100*A)/100,part:c5[c],positionRaw:l,position:[Math.round((o.shape[2]||0)*l[0]),Math.round((o.shape[1]||0)*l[1])]})}A=r.reduce((c,l)=>l.score>c?l.score:c,0);let s=[],a=ae(r.map(c=>c.position),[o.shape[2],o.shape[1]]),i={};for(let[c,l]of Object.entries(d5)){let x=[];for(let f=0;fM.part===l[f]),m=r.find(M=>M.part===l[f+1]);u&&m&&u.score>(t.body.minConfidence||0)&&m.score>(t.body.minConfidence||0)&&x.push([u.position,m.position])}i[c]=x}let y={id:0,score:A,box:a.box,boxRaw:a.boxRaw,keypoints:r,annotations:i};return C1(y),s.push(y),s}async function Or(e,t,o){let n=[];for(let r=0;rt.body.minConfidence){let a=[];for(let l=0;l<17;l++){let x=A[3*l+2];if(x>t.body.minConfidence){let f=[A[3*l+1],A[3*l+0]];a.push({part:c5[l],score:Math.round(100*x)/100,positionRaw:f,position:[Math.round((o.shape[2]||0)*f[0]),Math.round((o.shape[1]||0)*f[1])]})}}let i=ae(a.map(l=>l.position),[o.shape[2],o.shape[1]]),y={};for(let[l,x]of Object.entries(d5)){let f=[];for(let u=0;ug.part===x[u]),M=a.find(g=>g.part===x[u+1]);m&&M&&m.score>(t.body.minConfidence||0)&&M.score>(t.body.minConfidence||0)&&f.push([m.position,M.position])}y[l]=f}let c={id:r,score:s,box:i.box,boxRaw:i.boxRaw,keypoints:[...a],annotations:y};C1(c),n.push(c)}}return n.sort((r,A)=>A.score-r.score),n.length>t.body.maxDetected&&(n.length=t.body.maxDetected),n}async function I1(e,t){if(!L0||!(L0!=null&&L0.inputs[0].shape))return[];t.skipAllowed||(He.boxes.length=0),j1++;let o=(t.body.skipTime||0)>h()-He.last,n=j1<(t.body.skipFrames||0);return t.skipAllowed&&o&&n?He.bodies:new Promise(async r=>{let A={};j1=0,A.input=Ro(e,f5),A.res=L0==null?void 0:L0.execute(A.input),He.last=h();let s=await A.res.array();He.bodies=A.res.shape[2]===17?await Nr(s,t,e):await Or(s,t,e);for(let a of He.bodies)vo(a,[e.shape[2]||1,e.shape[1]||1]),Mo(a.keypoints);Object.keys(A).forEach(a=>To.dispose(A[a])),r(He.bodies)})}var w0=D(H());var A2,m5=[],Eo=0,N1=Number.MAX_SAFE_INTEGER,u5=0,p5=2.5;async function zo(e){if(!A2||v.initial){A2=await G(e.object.modelPath);let t=Object.values(A2.modelSignature.inputs);u5=Array.isArray(t)?parseInt(t[0].tensorShape.dim[2].size):0}else e.debug&&p("cached model:",A2.modelUrl);return A2}async function Lr(e,t,o){let n=0,r=[];for(let i of[1,2,4])w0.tidy(async()=>{let y=i*13,c=w0.squeeze(e.find(m=>m.shape[1]===y**2&&(m.shape[2]||0)===Je.length)),l=w0.squeeze(e.find(m=>m.shape[1]===y**2&&(m.shape[2]||0)(o.object.minConfidence||0)&&M!==61){let b=(.5+Math.trunc(m%y))/y,d=(.5+Math.trunc(m/y))/y,P=f[m].map(K=>K*(y/i/u5)),[S,w]=[b-p5/i*P[0],d-p5/i*P[1]],[j,C]=[b+p5/i*P[2]-S,d+p5/i*P[3]-w],F=[S,w,j,C];F=F.map(K=>Math.max(0,Math.min(K,1)));let Q=[F[0]*t[0],F[1]*t[1],F[2]*t[0],F[3]*t[1]],U={id:n++,score:Math.round(100*g)/100,class:M+1,label:Je[M].label,box:Q.map(K=>Math.trunc(K)),boxRaw:F};r.push(U)}}});e.forEach(i=>w0.dispose(i));let A=r.map(i=>[i.boxRaw[1],i.boxRaw[0],i.boxRaw[3],i.boxRaw[2]]),s=r.map(i=>i.score),a=[];if(A&&A.length>0){let i=await w0.image.nonMaxSuppressionAsync(A,s,o.object.maxDetected,o.object.iouThreshold,o.object.minConfidence);a=await i.data(),w0.dispose(i)}return r=r.filter((i,y)=>a.includes(y)).sort((i,y)=>y.score-i.score),r}async function O1(e,t){let o=(t.object.skipTime||0)>h()-Eo,n=N1<(t.object.skipFrames||0);return t.skipAllowed&&o&&n&&m5.length>0?(N1++,m5):(N1=0,!v.kernels.includes("mod")||!v.kernels.includes("sparsetodense")?m5:new Promise(async r=>{let A=[e.shape[2]||0,e.shape[1]||0],s=w0.image.resizeBilinear(e,[u5,u5],!1),a=w0.div(s,B.tf255),i=a.transpose([0,3,1,2]);w0.dispose(a),w0.dispose(s);let y;t.object.enabled&&(y=A2.execute(i)),Eo=h(),w0.dispose(i);let c=await Lr(y,A,t);m5=c,r(c)}))}var k0=D(H());var E2=["nose","leftEye","rightEye","leftEar","rightEar","leftShoulder","rightShoulder","leftElbow","rightElbow","leftWrist","rightWrist","leftHip","rightHip","leftKnee","rightKnee","leftAnkle","rightAnkle"],Wr=E2.length,k2=E2.reduce((e,t,o)=>(e[t]=o,e),{}),Fr=[["leftHip","leftShoulder"],["leftElbow","leftShoulder"],["leftElbow","leftWrist"],["leftHip","leftKnee"],["leftKnee","leftAnkle"],["rightHip","rightShoulder"],["rightElbow","rightShoulder"],["rightElbow","rightWrist"],["rightHip","rightKnee"],["rightKnee","rightAnkle"],["leftShoulder","rightShoulder"],["leftHip","rightHip"]],i4=Fr.map(([e,t])=>[k2[e],k2[t]]),Co=[["nose","leftEye"],["leftEye","leftEar"],["nose","rightEye"],["rightEye","rightEar"],["nose","leftShoulder"],["leftShoulder","leftElbow"],["leftElbow","leftWrist"],["leftShoulder","leftHip"],["leftHip","leftKnee"],["leftKnee","leftAnkle"],["nose","rightShoulder"],["rightShoulder","rightElbow"],["rightElbow","rightWrist"],["rightShoulder","rightHip"],["rightHip","rightKnee"],["rightKnee","rightAnkle"]];function jo(e){let t=e.reduce(({maxX:o,maxY:n,minX:r,minY:A},{position:{x:s,y:a}})=>({maxX:Math.max(o,s),maxY:Math.max(n,a),minX:Math.min(r,s),minY:Math.min(A,a)}),{maxX:Number.NEGATIVE_INFINITY,maxY:Number.NEGATIVE_INFINITY,minX:Number.POSITIVE_INFINITY,minY:Number.POSITIVE_INFINITY});return[t.minX,t.minY,t.maxX-t.minX,t.maxY-t.minY]}function Io(e,[t,o],[n,r]){let A=t/n,s=o/r,a=(y,c)=>({id:c,score:y.score,boxRaw:[y.box[0]/r,y.box[1]/n,y.box[2]/r,y.box[3]/n],box:[Math.trunc(y.box[0]*s),Math.trunc(y.box[1]*A),Math.trunc(y.box[2]*s),Math.trunc(y.box[3]*A)],keypoints:y.keypoints.map(({score:l,part:x,position:f})=>({score:l,part:x,position:[Math.trunc(f.x*s),Math.trunc(f.y*A)],positionRaw:[f.x/n,f.y/n]})),annotations:{}});return e.map((y,c)=>a(y,c))}var h5=class{constructor(t,o){T(this,"priorityQueue");T(this,"numberOfElements");T(this,"getElementValue");this.priorityQueue=new 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Ue=e=>[Math.abs(e.endPoint[0]-e.startPoint[0]),Math.abs(e.endPoint[1]-e.startPoint[1])],V2=e=>[e.startPoint[0]+(e.endPoint[0]-e.startPoint[0])/2,e.startPoint[1]+(e.endPoint[1]-e.startPoint[1])/2,1],D2=(e,t)=>e?[Math.trunc(Math.max(0,e.startPoint[0])),Math.trunc(Math.max(0,e.startPoint[1])),Math.trunc(Math.min(t.shape[2]||0,e.endPoint[0])-Math.max(0,e.startPoint[0])),Math.trunc(Math.min(t.shape[1]||0,e.endPoint[1])-Math.max(0,e.startPoint[1]))]:[0,0,0,0],Z2=(e,t)=>e?[e.startPoint[0]/(t.shape[2]||0),e.startPoint[1]/(t.shape[1]||0),(e.endPoint[0]-e.startPoint[0])/(t.shape[2]||0),(e.endPoint[1]-e.startPoint[1])/(t.shape[1]||0)]:[0,0,0,0],Dt=(e,t)=>{let o=[e.startPoint[0]*t[0],e.startPoint[1]*t[1]],n=[e.endPoint[0]*t[0],e.endPoint[1]*t[1]];return{startPoint:o,endPoint:n,landmarks:e.landmarks,confidence:e.confidence}},q5=(e,t,o)=>{let n=t.shape[1],r=t.shape[2],A=[e.startPoint[1]/n,e.startPoint[0]/r,e.endPoint[1]/n,e.endPoint[0]/r],s=se.image.cropAndResize(t,[A],[0],o),a=se.div(s,B.tf255);return se.dispose(s),a},X2=(e,t)=>{let o=V2(e),n=Ue(e),r=[t*n[0]/2,t*n[1]/2];return{startPoint:[o[0]-r[0],o[1]-r[1]],endPoint:[o[0]+r[0],o[1]+r[1]],landmarks:e.landmarks,confidence:e.confidence}},q2=e=>{let t=V2(e),o=Ue(e),n=Math.max(...o)/2;return{startPoint:[Math.round(t[0]-n),Math.round(t[1]-n)],endPoint:[Math.round(t[0]+n),Math.round(t[1]+n)],landmarks:e.landmarks,confidence:e.confidence}},Zt=e=>{let t=e.map(n=>n[0]),o=e.map(n=>n[1]);return{startPoint:[Math.min(...t),Math.min(...o)],endPoint:[Math.max(...t),Math.max(...o)],landmarks:e}},U5=[[1,0,0],[0,1,0],[0,0,1]],On=e=>e-2*Math.PI*Math.floor((e+Math.PI)/(2*Math.PI)),Ln=(e,t)=>On(Math.PI/2-Math.atan2(-(t[1]-e[1]),t[0]-e[0]));var Ht=(e,t)=>[[1,0,e],[0,1,t],[0,0,1]],Ie=(e,t)=>{let o=0;for(let n=0;n{let o=[];for(let n=0;n{let o=[],n=e.length;for(let r=0;r{let 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y=V2(t),c=[y[0]/o.shape[2],y[1]/o.shape[1]],l=se.image.rotateWithOffset(o,A,0,c);s=Xt(-A,y),a=q5(t,l,[n,n]),se.dispose(l)}else a=q5(t,o,[n,n]);else a=q5(t,o,[n,n]);return[A,s,a]}var Bn=e=>{let t=e.map(n=>n[0]),o=e.map(n=>n[1]);return[Math.min(...t)+(Math.max(...t)-Math.min(...t))/2,Math.min(...o)+(Math.max(...o)-Math.min(...o))/2]},Kt=(e,t)=>{let o=Bn(e),n=Ue(t);return{startPoint:[o[0]-n[0]/2,o[1]-n[1]/2],endPoint:[o[0]+n[0]/2,o[1]+n[1]/2]}};var Jt=6,Hn=1.4,_0,Qt=null,he=0,M2=null,Ye=()=>he;async function _t(e){var t;return v.initial&&(_0=null),_0?e.debug&&p("cached model:",_0.modelUrl):_0=await G((t=e.face.detector)==null?void 0:t.modelPath),he=_0.inputs[0].shape?_0.inputs[0].shape[2]:0,M2=O.scalar(he,"int32"),Qt=O.tensor2d(qt(he)),_0}function Vn(e){let t={};t.boxStarts=O.slice(e,[0,1],[-1,2]),t.centers=O.add(t.boxStarts,Qt),t.boxSizes=O.slice(e,[0,3],[-1,2]),t.boxSizesNormalized=O.div(t.boxSizes,M2),t.centersNormalized=O.div(t.centers,M2),t.halfBoxSize=O.div(t.boxSizesNormalized,B.tf2),t.starts=O.sub(t.centersNormalized,t.halfBoxSize),t.ends=O.add(t.centersNormalized,t.halfBoxSize),t.startNormalized=O.mul(t.starts,M2),t.endNormalized=O.mul(t.ends,M2);let o=O.concat2d([t.startNormalized,t.endNormalized],1);return Object.keys(t).forEach(n=>O.dispose(t[n])),o}async function $t(e,t){var a,i,y,c;if(!e||e.isDisposedInternal||e.shape.length!==4||e.shape[1]<1||e.shape[2]<1)return[];let o={};o.resized=O.image.resizeBilinear(e,[he,he]),o.div=O.div(o.resized,B.tf127),o.normalized=O.sub(o.div,B.tf05);let n=_0==null?void 0:_0.execute(o.normalized);if(Array.isArray(n)&&n.length>2){let l=n.sort((x,f)=>x.size-f.size);o.concat384=O.concat([l[0],l[2]],2),o.concat512=O.concat([l[1],l[3]],2),o.concat=O.concat([o.concat512,o.concat384],1),o.batch=O.squeeze(o.concat,0)}else Array.isArray(n)?o.batch=O.squeeze(n[0]):o.batch=O.squeeze(n);O.dispose(n),o.boxes=Vn(o.batch),o.logits=O.slice(o.batch,[0,0],[-1,1]),o.sigmoid=O.sigmoid(o.logits),o.scores=O.squeeze(o.sigmoid),o.nms=await O.image.nonMaxSuppressionAsync(o.boxes,o.scores,((a=t.face.detector)==null?void 0:a.maxDetected)||0,((i=t.face.detector)==null?void 0:i.iouThreshold)||0,((y=t.face.detector)==null?void 0:y.minConfidence)||0);let r=await o.nms.array(),A=[],s=await o.scores.data();for(let l=0;l(((c=t.face.detector)==null?void 0:c.minConfidence)||0)){let f={};f.bbox=O.slice(o.boxes,[r[l],0],[1,-1]),f.slice=O.slice(o.batch,[r[l],Jt-1],[1,-1]),f.squeeze=O.squeeze(f.slice),f.landmarks=O.reshape(f.squeeze,[Jt,-1]);let u=await f.bbox.data(),m={startPoint:[u[0],u[1]],endPoint:[u[2],u[3]],landmarks:await f.landmarks.array(),confidence:x},M=Dt(m,[(e.shape[2]||0)/he,(e.shape[1]||0)/he]),g=X2(M,t.face.scale||Hn),b=q2(g);A.push(b),Object.keys(f).forEach(d=>O.dispose(f[d]))}}return Object.keys(o).forEach(l=>O.dispose(o[l])),A}var C0=D(H());var U2={};Se(U2,{connected:()=>J5,kpt:()=>K5});var K5=["nose","leftEyeInside","leftEye","leftEyeOutside","rightEyeInside","rightEye","rightEyeOutside","leftEar","rightEar","leftMouth","rightMouth","leftShoulder","rightShoulder","leftElbow","rightElbow","leftWrist","rightWrist","leftPinky","rightPinky","leftIndex","rightIndex","leftThumb","rightThumb","leftHip","rightHip","leftKnee","rightKnee","leftAnkle","rightAnkle","leftHeel","rightHeel","leftFoot","rightFoot","bodyCenter","bodyTop","leftPalm","leftHand","rightPalm","rightHand"],J5={shoulders:["leftShoulder","rightShoulder"],hips:["rightHip","leftHip"],mouth:["leftMouth","rightMouth"],leftLegUpper:["leftHip","leftKnee"],leftLegLower:["leftKnee","leftAnkle"],leftFoot:["leftAnkle","leftHeel","leftFoot"],leftTorso:["leftShoulder","leftHip"],leftArmUpper:["leftShoulder","leftElbow"],leftArmLower:["leftElbow","leftWrist"],leftHand:["leftWrist","leftPalm"],leftHandPinky:["leftPalm","leftPinky"],leftHandIndex:["leftPalm","leftIndex"],leftHandThumb:["leftPalm","leftThumb"],leftEyeOutline:["leftEyeInside","leftEyeOutside"],rightLegUpper:["rightHip","rightKnee"],rightLegLower:["rightKnee","rightAnkle"],rightFoot:["rightAnkle","rightHeel","rightFoot"],rightTorso:["rightShoulder","rightHip"],rightArmUpper:["rightShoulder","rightElbow"],rightArmLower:["rightElbow","rightWrist"],rightHand:["rightWrist","rightPalm"],rightHandPinky:["rightPalm","rightPinky"],rightHandIndex:["rightPalm","rightIndex"],rightHandThumb:["rightPalm","rightThumb"],rightEyeOutline:["rightEyeInside","rightEyeOutside"]};var z0=D(H()),t3=224,Dn,Zn=5,Y2=[8,16,32,32,32];async function o3(){let e=[],t=0;for(;to.x)),y:z0.tensor1d(e.map(o=>o.y))}}function ae(e,t=[1,1]){let o=[e.map(a=>a[0]),e.map(a=>a[1])],n=[Math.min(...o[0]),Math.min(...o[1])],r=[Math.max(...o[0]),Math.max(...o[1])],A=[n[0],n[1],r[0]-n[0],r[1]-n[1]],s=[A[0]/t[0],A[1]/t[1],A[2]/t[0],A[3]/t[1]];return{box:A,boxRaw:s}}function n3(e,t=[1,1]){let o=[e.map(y=>y[0]),e.map(y=>y[1])],n=[Math.min(...o[0]),Math.min(...o[1])],r=[Math.max(...o[0]),Math.max(...o[1])],A=[(n[0]+r[0])/2,(n[1]+r[1])/2],s=Math.max(A[0]-n[0],A[1]-n[1],-A[0]+r[0],-A[1]+r[1]),a=[Math.trunc(A[0]-s),Math.trunc(A[1]-s),Math.trunc(2*s),Math.trunc(2*s)],i=[a[0]/t[0],a[1]/t[1],a[2]/t[0],a[3]/t[1]];return{box:a,boxRaw:i}}function K2(e,t){let o=[e[2]*t,e[3]*t];return[e[0]-(o[0]-e[2])/2,e[1]-(o[1]-e[3])/2,o[0],o[1]]}var s3={initial:!0},S0={detector:null,landmarks:null},Ke={detector:[224,224],landmarks:[256,256]},Q5=Number.MAX_SAFE_INTEGER,qn={landmarks:["ld_3d","activation_segmentation","activation_heatmap","world_3d","output_poseflag"],detector:[]},Q2=null,R2,be=[[0,0],[0,0],[0,0],[0,0]],r3=0,A3=e=>1-1/(1+Math.exp(e));async function a3(e){if(s3.initial&&(S0.detector=null),!S0.detector&&e.body.detector&&e.body.detector.modelPath){S0.detector=await G(e.body.detector.modelPath);let t=Object.values(S0.detector.modelSignature.inputs);Ke.detector[0]=Array.isArray(t)?parseInt(t[0].tensorShape.dim[1].size):0,Ke.detector[1]=Array.isArray(t)?parseInt(t[0].tensorShape.dim[2].size):0}else e.debug&&S0.detector&&p("cached model:",S0.detector.modelUrl);return await o3(),S0.detector}async function i3(e){if(s3.initial&&(S0.landmarks=null),S0.landmarks)e.debug&&p("cached model:",S0.landmarks.modelUrl);else{S0.landmarks=await G(e.body.modelPath);let t=Object.values(S0.landmarks.modelSignature.inputs);Ke.landmarks[0]=Array.isArray(t)?parseInt(t[0].tensorShape.dim[1].size):0,Ke.landmarks[1]=Array.isArray(t)?parseInt(t[0].tensorShape.dim[2].size):0}return S0.landmarks}async function Un(e,t){let o={};if(!e.shape||!e.shape[1]||!e.shape[2])return e;let n;if(R2&&(o.cropped=C0.image.cropAndResize(e,[R2],[0],[e.shape[1],e.shape[2]])),e.shape[1]!==e.shape[2]){let r=[e.shape[2]>e.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],A=[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];be=[[0,0],r,A,[0,0]],o.pad=C0.pad(o.cropped||e,be),o.resize=C0.image.resizeBilinear(o.pad,[t,t]),n=C0.div(o.resize,B.tf255)}else e.shape[1]!==t?(o.resize=C0.image.resizeBilinear(o.cropped||e,[t,t]),n=C0.div(o.resize,B.tf255)):n=C0.div(o.cropped||e,B.tf255);return Object.keys(o).forEach(r=>C0.dispose(o[r])),n}function Yn(e,t){for(let o of e)o.position=[Math.trunc(o.position[0]*(t[0]+be[2][0]+be[2][1])/t[0]-be[2][0]),Math.trunc(o.position[1]*(t[1]+be[1][0]+be[1][1])/t[1]-be[1][0]),o.position[2]],o.positionRaw=[o.position[0]/t[0],o.position[1]/t[1],2*o.position[2]/(t[0]+t[1])];if(R2)for(let o of e)o.positionRaw=[o.positionRaw[0]+R2[1],o.positionRaw[1]+R2[0],o.positionRaw[2]],o.position=[Math.trunc(o.positionRaw[0]*t[0]),Math.trunc(o.positionRaw[1]*t[1]),o.positionRaw[2]];return e}async function Kn(e){let t=e.find(a=>a.part==="leftPalm"),o=e.find(a=>a.part==="leftWrist"),n=e.find(a=>a.part==="leftIndex");t.position[2]=((o.position[2]||0)+(n.position[2]||0))/2;let r=e.find(a=>a.part==="rightPalm"),A=e.find(a=>a.part==="rightWrist"),s=e.find(a=>a.part==="rightIndex");r.position[2]=((A.position[2]||0)+(s.position[2]||0))/2}async function Jn(e,t,o){var u;let n={};[n.ld,n.segmentation,n.heatmap,n.world,n.poseflag]=(u=S0.landmarks)==null?void 0:u.execute(e,qn.landmarks);let r=(await n.poseflag.data())[0],A=await n.ld.data(),s=await n.world.data();Object.keys(n).forEach(m=>C0.dispose(n[m]));let a=[],i=5;for(let m=0;mm.position),l=ae(c,[o[0],o[1]]),x={};for(let[m,M]of Object.entries(J5)){let g=[];for(let b=0;bS.part===M[b]),P=y.find(S=>S.part===M[b+1]);d&&P&&g.push([d.position,P.position])}x[m]=g}return{id:0,score:Math.trunc(100*r)/100,box:l.box,boxRaw:l.boxRaw,keypoints:y,annotations:x}}async function _5(e,t){let o=[e.shape[2]||0,e.shape[1]||0],n=(t.body.skipTime||0)>h()-r3,r=Q5<(t.body.skipFrames||0);if(t.skipAllowed&&n&&r&&Q2!==null)Q5++;else{let A={};A.landmarks=await Un(e,256),Q2=await Jn(A.landmarks,t,o),Object.keys(A).forEach(s=>C0.dispose(A[s])),r3=h(),Q5=0}return Q2?[Q2]:[]}var R0=D(H());var Je=[{class:1,label:"person"},{class:2,label:"bicycle"},{class:3,label:"car"},{class:4,label:"motorcycle"},{class:5,label:"airplane"},{class:6,label:"bus"},{class:7,label:"train"},{class:8,label:"truck"},{class:9,label:"boat"},{class:10,label:"traffic 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glass"},{class:42,label:"cup"},{class:43,label:"fork"},{class:44,label:"knife"},{class:45,label:"spoon"},{class:46,label:"bowl"},{class:47,label:"banana"},{class:48,label:"apple"},{class:49,label:"sandwich"},{class:50,label:"orange"},{class:51,label:"broccoli"},{class:52,label:"carrot"},{class:53,label:"hot dog"},{class:54,label:"pizza"},{class:55,label:"donut"},{class:56,label:"cake"},{class:57,label:"chair"},{class:58,label:"couch"},{class:59,label:"potted plant"},{class:60,label:"bed"},{class:61,label:"dining table"},{class:62,label:"toilet"},{class:63,label:"tv"},{class:64,label:"laptop"},{class:65,label:"mouse"},{class:66,label:"remote"},{class:67,label:"keyboard"},{class:68,label:"cell phone"},{class:69,label:"microwave"},{class:70,label:"oven"},{class:71,label:"toaster"},{class:72,label:"sink"},{class:73,label:"refrigerator"},{class:74,label:"book"},{class:75,label:"clock"},{class:76,label:"vase"},{class:77,label:"scissors"},{class:78,label:"teddy bear"},{class:79,label:"hair drier"},{class:80,label:"toothbrush"}];var ie,Ne=0,$5=[],y3=0,e1=Number.MAX_SAFE_INTEGER;async function x3(e){if(v.initial&&(ie=null),ie)e.debug&&p("cached model:",ie.modelUrl);else{ie=await G(e.object.modelPath);let t=Object.values(ie.modelSignature.inputs);Ne=Array.isArray(t)?parseInt(t[0].tensorShape.dim[2].size):0}return ie}async function Qn(e,t,o){if(!e)return[];let n={},r=[],A=await e.array();n.squeeze=R0.squeeze(e);let s=R0.split(n.squeeze,6,1);n.stack=R0.stack([s[1],s[0],s[3],s[2]],1),n.boxes=R0.squeeze(n.stack),n.scores=R0.squeeze(s[4]),n.classes=R0.squeeze(s[5]),R0.dispose([e,...s]),n.nms=await R0.image.nonMaxSuppressionAsync(n.boxes,n.scores,o.object.maxDetected,o.object.iouThreshold,o.object.minConfidence||0);let a=await n.nms.data(),i=0;for(let y of Array.from(a)){let c=Math.trunc(100*A[0][y][4])/100,l=A[0][y][5],x=Je[l].label,[f,u]=[A[0][y][0]/Ne,A[0][y][1]/Ne],m=[f,u,A[0][y][2]/Ne-f,A[0][y][3]/Ne-u],M=[Math.trunc(m[0]*t[0]),Math.trunc(m[1]*t[1]),Math.trunc(m[2]*t[0]),Math.trunc(m[3]*t[1])];r.push({id:i++,score:c,class:l,label:x,box:M,boxRaw:m})}return Object.keys(n).forEach(y=>R0.dispose(n[y])),r}async function t1(e,t){let o=(t.object.skipTime||0)>h()-y3,n=e1<(t.object.skipFrames||0);return t.skipAllowed&&o&&n&&$5.length>0?(e1++,$5):(e1=0,new Promise(async r=>{let A=[e.shape[2]||0,e.shape[1]||0],s=R0.image.resizeBilinear(e,[Ne,Ne]),a=t.object.enabled?ie==null?void 0:ie.execute(s,["tower_0/detections"]):null;y3=h(),R0.dispose(s);let i=await Qn(a,A,t);$5=i,r(i)}))}var _=D(H());var _2={};Se(_2,{connected:()=>n1,kpt:()=>o1});var o1=["head","neck","rightShoulder","rightElbow","rightWrist","chest","leftShoulder","leftElbow","leftWrist","bodyCenter","rightHip","rightKnee","rightAnkle","leftHip","leftKnee","leftAnkle"],n1={leftLeg:["leftHip","leftKnee","leftAnkle"],rightLeg:["rightHip","rightKnee","rightAnkle"],torso:["leftShoulder","rightShoulder","rightHip","leftHip","leftShoulder"],leftArm:["leftShoulder","leftElbow","leftWrist"],rightArm:["rightShoulder","rightElbow","rightWrist"],head:[]};var h0,d3=0,v0={id:0,keypoints:[],box:[0,0,0,0],boxRaw:[0,0,0,0],score:0,annotations:{}},r1=Number.MAX_SAFE_INTEGER;async function f3(e){return v.initial&&(h0=null),h0?e.debug&&p("cached model:",h0.modelUrl):h0=await G(e.body.modelPath),h0}async function _n(e,t){let[o,n]=e.shape,r=_.reshape(e,[n*o]),A=_.max(r,0),s=(await A.data())[0];if(_.dispose([r,A]),s>t){let a=_.argMax(r,0),i=_.mod(a,o),y=(await i.data())[0],c=_.div(a,_.scalar(o,"int32")),l=(await c.data())[0];return _.dispose([i,c]),[y,l,s]}return[0,0,s]}async function A1(e,t){let o=(t.body.skipTime||0)>h()-d3,n=r1<(t.body.skipFrames||0);return t.skipAllowed&&o&&n&&Object.keys(v0.keypoints).length>0?(r1++,[v0]):(r1=0,new Promise(async r=>{var l;let A=_.tidy(()=>{if(!(h0!=null&&h0.inputs[0].shape))return null;let x=_.image.resizeBilinear(e,[h0.inputs[0].shape[2],h0.inputs[0].shape[1]],!1),f=_.mul(x,B.tf2);return _.sub(f,B.tf1)}),s;if(t.body.enabled&&(s=h0==null?void 0:h0.execute(A)),d3=h(),_.dispose(A),s){v0.keypoints.length=0;let x=s.squeeze();_.dispose(s);let f=x.unstack(2);_.dispose(x);for(let u=0;u(((l=t.body)==null?void 0:l.minConfidence)||0)&&v0.keypoints.push({score:Math.round(100*g)/100,part:o1[u],positionRaw:[m/h0.inputs[0].shape[2],M/h0.inputs[0].shape[1]],position:[Math.round(e.shape[2]*m/h0.inputs[0].shape[2]),Math.round(e.shape[1]*M/h0.inputs[0].shape[1])]})}f.forEach(u=>_.dispose(u))}v0.score=v0.keypoints.reduce((x,f)=>f.score>x?f.score:x,0);let a=v0.keypoints.map(x=>x.position[0]),i=v0.keypoints.map(x=>x.position[1]);v0.box=[Math.min(...a),Math.min(...i),Math.max(...a)-Math.min(...a),Math.max(...i)-Math.min(...i)];let y=v0.keypoints.map(x=>x.positionRaw[0]),c=v0.keypoints.map(x=>x.positionRaw[1]);v0.boxRaw=[Math.min(...y),Math.min(...c),Math.max(...y)-Math.min(...y),Math.max(...c)-Math.min(...c)];for(let[x,f]of Object.entries(n1)){let u=[];for(let m=0;mb.part===f[m]),g=v0.keypoints.find(b=>b.part===f[m+1]);M&&g&&M.score>(t.body.minConfidence||0)&&g.score>(t.body.minConfidence||0)&&u.push([M.position,g.position])}v0.annotations[x]=u}r([v0])}))}var Z0=D(H());var $n=["angry","disgust","fear","happy","sad","surprise","neutral"],G0,$2=[],p3=0,u3=0,s1=Number.MAX_SAFE_INTEGER;async function h3(e){var t;return v.initial&&(G0=null),G0?e.debug&&p("cached model:",G0.modelUrl):G0=await G((t=e.face.emotion)==null?void 0:t.modelPath),G0}async function a1(e,t,o,n){var s,a;if(!G0)return[];let r=s1<(((s=t.face.emotion)==null?void 0:s.skipFrames)||0),A=(((a=t.face.emotion)==null?void 0:a.skipTime)||0)>h()-u3;return t.skipAllowed&&A&&r&&p3===n&&$2[o]&&$2[o].length>0?(s1++,$2[o]):(s1=0,new Promise(async i=>{var c,l;let y=[];if((c=t.face.emotion)!=null&&c.enabled){let x={},f=G0!=null&&G0.inputs[0].shape?G0.inputs[0].shape[2]:0;x.resize=Z0.image.resizeBilinear(e,[f,f],!1),x.channels=Z0.mul(x.resize,B.rgb),x.grayscale=Z0.sum(x.channels,3,!0),x.grayscaleSub=Z0.sub(x.grayscale,B.tf05),x.grayscaleMul=Z0.mul(x.grayscaleSub,B.tf2),x.emotion=G0==null?void 0:G0.execute(x.grayscaleMul),u3=h();let u=await x.emotion.data();for(let m=0;m(((l=t.face.emotion)==null?void 0:l.minConfidence)||0)&&y.push({score:Math.min(.99,Math.trunc(100*u[m])/100),emotion:$n[m]});y.sort((m,M)=>M.score-m.score),Object.keys(x).forEach(m=>Z0.dispose(x[m]))}$2[o]=y,p3=n,i(y)}))}var R3=D(H());var j0,i1=[],g3=0,P3=0,M3=Number.MAX_SAFE_INTEGER;async function v3(e){return v.initial&&(j0=null),j0?e.debug&&p("cached model:",j0.modelUrl):j0=await G(e.face.mobilefacenet.modelPath),j0}async function l1(e,t,o,n){var s,a;if(!j0)return[];let r=M3<(((s=t.face.embedding)==null?void 0:s.skipFrames)||0),A=(((a=t.face.embedding)==null?void 0:a.skipTime)||0)>h()-P3;return t.skipAllowed&&A&&r&&g3===n&&i1[o]?(M3++,i1[o]):new Promise(async i=>{var c;let y=[];if(((c=t.face.embedding)==null?void 0:c.enabled)&&(j0==null?void 0:j0.inputs[0].shape)){let l={};l.crop=R3.image.resizeBilinear(e,[j0.inputs[0].shape[2],j0.inputs[0].shape[1]],!1),l.data=j0==null?void 0:j0.execute(l.crop);let x=await l.data.data();y=Array.from(x)}i1[o]=y,g3=n,P3=h(),i(y)})}var $e=D(H());var X0=D(H());var le,ge=0,er=2.3,y1=D0.leftEyeLower0,x1=D0.rightEyeLower0,Qe={leftBounds:[y1[0],y1[y1.length-1]],rightBounds:[x1[0],x1[x1.length-1]]},_e={upperCenter:3,lowerCenter:4,index:71,numCoordinates:76};async function z3(e){var t;return v.initial&&(le=null),le?e.debug&&p("cached model:",le.modelUrl):le=await G((t=e.face.iris)==null?void 0:t.modelPath),ge=le.inputs[0].shape?le.inputs[0].shape[2]:0,ge===-1&&(ge=64),le}function e5(e,t,o,n){for(let r=0;r{let t=e[Qe.leftBounds[0]][2],o=e[Qe.rightBounds[0]][2];return t-o},w3=(e,t,o,n,r,A=!1)=>{let s=q2(X2(Zt([e[o],e[n]]),er)),a=Ue(s),i=X0.image.cropAndResize(t,[[s.startPoint[1]/r,s.startPoint[0]/r,s.endPoint[1]/r,s.endPoint[0]/r]],[0],[ge,ge]);if(A&&v.kernels.includes("flipleftright")){let y=X0.image.flipLeftRight(i);X0.dispose(i),i=y}return{box:s,boxSize:a,crop:i}},k3=(e,t,o,n=!1)=>{let r=[];for(let A=0;A<_e.numCoordinates;A++){let s=e[A*3],a=e[A*3+1],i=e[A*3+2];r.push([(n?1-s/ge:s/ge)*o[0]+t.startPoint[0],a/ge*o[1]+t.startPoint[1],i])}return{rawCoords:r,iris:r.slice(_e.index)}},E3=(e,t,o)=>{let n=e[D0[`${o}EyeUpper0`][_e.upperCenter]][2],r=e[D0[`${o}EyeLower0`][_e.lowerCenter]][2],A=(n+r)/2;return t.map((s,a)=>{let i=A;return a===2?i=n:a===4&&(i=r),[s[0],s[1],i]})};async function S3(e,t,o,n){if(!le)return o.debug&&p("face mesh iris detection requested, but model is not loaded"),e;let{box:r,boxSize:A,crop:s}=w3(e,t,Qe.leftBounds[0],Qe.leftBounds[1],n,!0),{box:a,boxSize:i,crop:y}=w3(e,t,Qe.rightBounds[0],Qe.rightBounds[1],n,!0),c=X0.concat([s,y]);X0.dispose(s),X0.dispose(y);let l=le.execute(c);X0.dispose(c);let x=await l.data();X0.dispose(l);let f=x.slice(0,_e.numCoordinates*3),{rawCoords:u,iris:m}=k3(f,r,A,!0),M=x.slice(_e.numCoordinates*3),{rawCoords:g,iris:b}=k3(M,a,i,!1),d=tr(e);Math.abs(d)<30?(e5(e,u,"left",null),e5(e,g,"right",null)):d<1?e5(e,u,"left",["EyeUpper0","EyeLower0"]):e5(e,g,"right",["EyeUpper0","EyeLower0"]);let P=E3(e,m,"left"),S=E3(e,b,"right");return e.concat(P).concat(S)}var or=[[61,146],[146,91],[91,181],[181,84],[84,17],[17,314],[314,405],[405,321],[321,375],[375,291],[61,185],[185,40],[40,39],[39,37],[37,0],[0,267],[267,269],[269,270],[270,409],[409,291],[78,95],[95,88],[88,178],[178,87],[87,14],[14,317],[317,402],[402,318],[318,324],[324,308],[78,191],[191,80],[80,81],[81,82],[82,13],[13,312],[312,311],[311,310],[310,415],[415,308]],nr=[[263,249],[249,390],[390,373],[373,374],[374,380],[380,381],[381,382],[382,362],[263,466],[466,388],[388,387],[387,386],[386,385],[385,384],[384,398],[398,362]],rr=[[276,283],[283,282],[282,295],[295,285],[300,293],[293,334],[334,296],[296,336]],Ar=[[474,475],[475,476],[476,477],[477,474]],sr=[[33,7],[7,163],[163,144],[144,145],[145,153],[153,154],[154,155],[155,133],[33,246],[246,161],[161,160],[160,159],[159,158],[158,157],[157,173],[173,133]],ar=[[46,53],[53,52],[52,65],[65,55],[70,63],[63,105],[105,66],[66,107]],ir=[[469,470],[470,471],[471,472],[472,469]],lr=[[10,338],[338,297],[297,332],[332,284],[284,251],[251,389],[389,356],[356,454],[454,323],[323,361],[361,288],[288,397],[397,365],[365,379],[379,378],[378,400],[400,377],[377,152],[152,148],[148,176],[176,149],[149,150],[150,136],[136,172],[172,58],[58,132],[132,93],[93,234],[234,127],[127,162],[162,21],[21,54],[54,103],[103,67],[67,109],[109,10]];function Pe(e){let t=e.map(o=>o[0]);return t.push(e[e.length-1][1]),t}var yr={lips:Pe(or),leftEye:Pe(nr),leftEyebrow:Pe(rr),leftIris:Pe(Ar),rightEye:Pe(sr),rightEyebrow:Pe(ar),rightIris:Pe(ir),faceOval:Pe(lr)},xr=Object.entries(yr).map(([e,t])=>t.map(o=>[o,e])).flat(),P7=new Map(xr),v2=[61,146,91,181,84,17,314,405,321,375,291,185,40,39,37,0,267,269,270,409,78,95,88,178,87,14,317,402,318,324,308,191,80,81,82,13,312,311,310,415,76,77,90,180,85,16,315,404,320,307,306,184,74,73,72,11,302,303,304,408,62,96,89,179,86,15,316,403,319,325,292,183,42,41,38,12,268,271,272,407],Oe=[33,7,163,144,145,153,154,155,133,246,161,160,159,158,157,173,130,25,110,24,23,22,26,112,243,247,30,29,27,28,56,190,226,31,228,229,230,231,232,233,244,113,225,224,223,222,221,189,35,124,46,53,52,65,143,111,117,118,119,120,121,128,245,156,70,63,105,66,107,55,193],Le=[263,249,390,373,374,380,381,382,362,466,388,387,386,385,384,398,359,255,339,254,253,252,256,341,463,467,260,259,257,258,286,414,446,261,448,449,450,451,452,453,464,342,445,444,443,442,441,413,265,353,276,283,282,295,372,340,346,347,348,349,350,357,465,383,300,293,334,296,336,285,417];async function I3(e,t){let o={lips:await t.filter(A=>A.size===160)[0].data(),irisL:await t.filter(A=>A.size===10)[0].data(),eyeL:await t.filter(A=>A.size===142)[0].data(),irisR:await t.filter(A=>A.size===10)[1].data(),eyeR:await t.filter(A=>A.size===142)[1].data()},n=Oe.reduce((A,s)=>A+=e[s][2],0)/Oe.length;for(let A=0;AA+=e[s][2],0)/Le.length;for(let A=0;Ah()-$0.timestamp,n=$0.skipped<(((i=t.face.detector)==null?void 0:i.skipFrames)||0);!t.skipAllowed||!o||!n||$0.boxes.length===0?($0.boxes=await $t(e,t),$0.timestamp=h(),$0.skipped=0):$0.skipped++;let r=[],A=[],s=0;for(let b=0;b<$0.boxes.length;b++){let d=$0.boxes[b],P=0,S,w={id:s++,mesh:[],meshRaw:[],box:[0,0,0,0],boxRaw:[0,0,0,0],score:0,boxScore:0,faceScore:0,annotations:{}};if([P,S,w.tensor]=Yt((y=t.face.detector)==null?void 0:y.rotation,d,e,(c=t.face.mesh)!=null&&c.enabled?We:Ye()),(l=t==null?void 0:t.filter)!=null&&l.equalization){let j=await I2(w.tensor);$e.dispose(w.tensor),w.tensor=j}if(w.boxScore=Math.round(100*d.confidence)/100,(x=t.face.mesh)!=null&&x.enabled)if(!b0)t.debug&&p("face mesh detection requested, but model is not loaded");else{let 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Object.keys(D0))w.annotations[E]=D0[E].map(W0=>w.mesh[W0]);w.score=w.faceScore;let V={...Kt(w.mesh,d),confidence:d.confidence,landmarks:d.landmarks};w.box=D2(V,e),w.boxRaw=Z2(V,e),A.push(V)}$e.dispose([...j,U])}else{w.box=D2(d,e),w.boxRaw=Z2(d,e),w.score=w.boxScore,w.mesh=d.landmarks.map(j=>[(d.startPoint[0]+d.endPoint[0])/2+(d.endPoint[0]+d.startPoint[0])*j[0]/Ye(),(d.startPoint[1]+d.endPoint[1])/2+(d.endPoint[1]+d.startPoint[1])*j[1]/Ye()]),w.meshRaw=w.mesh.map(j=>[j[0]/(e.shape[2]||0),j[1]/(e.shape[1]||0),(j[2]||0)/We]);for(let j of Object.keys(Ce))w.annotations[j]=[w.mesh[Ce[j]]]}w.score>(((g=t.face.detector)==null?void 0:g.minConfidence)||1)?r.push(w):$e.dispose(w.tensor)}return $0.boxes=A,r}async function O3(e){var t,o,n,r,A,s;return v.initial&&(b0=null),((o=(t=e==null?void 0:e.face)==null?void 0:t.attention)==null?void 0:o.enabled)&&(b0==null?void 0:b0.signature)&&Object.keys(((n=b0==null?void 0:b0.signature)==null?void 0:n.outputs)||{}).length<6&&(b0=null),b0?e.debug&&p("cached model:",b0.modelUrl):(r=e.face.attention)!=null&&r.enabled?b0=await G((A=e.face.attention)==null?void 0:A.modelPath):b0=await G((s=e.face.mesh)==null?void 0:s.modelPath),We=b0.inputs[0].shape?b0.inputs[0].shape[2]:0,b0}var L3=je,W3=P2;var q0=D(H());var I0,t5=[],F3=0,G3=0,d1=Number.MAX_SAFE_INTEGER;async function B3(e){var t;return v.initial&&(I0=null),I0?e.debug&&p("cached model:",I0.modelUrl):I0=await G((t=e.face.description)==null?void 0:t.modelPath),I0}function f1(e){let t=e.image||e.tensor||e;if(!(I0!=null&&I0.inputs[0].shape))return t;let o=q0.image.resizeBilinear(t,[I0.inputs[0].shape[2],I0.inputs[0].shape[1]],!1),n=q0.mul(o,B.tf255);return q0.dispose(o),n}async function m1(e,t,o,n){var s,a,i,y;if(!I0)return{age:0,gender:"unknown",genderScore:0,descriptor:[]};let r=d1<(((s=t.face.description)==null?void 0:s.skipFrames)||0),A=(((a=t.face.description)==null?void 0:a.skipTime)||0)>h()-F3;return t.skipAllowed&&r&&A&&G3===n&&((i=t5[o])==null?void 0:i.age)&&((y=t5[o])==null?void 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T0.all)o[T0.getName(n)]={curl:ve.getName(t.curls[n]),direction:o0.getName(t.directions[n])};return o}function so(e){let t=[];if(!e||e.length===0)return t;let o=Ao(e);for(let n of $3){let r=n.matchAgainst(o.curls,o.directions);r>=vr&&t.push({name:n.name,confidence:r})}return t}var ao={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]},n2,r2,io;async function P1(e,t){let o=await io.estimateHands(e,t);if(!o)return[];let n=[];for(let r=0;ro[r].landmarks[l]);let s=o[r].landmarks,a=[Number.MAX_SAFE_INTEGER,Number.MAX_SAFE_INTEGER,0,0],i=[0,0,0,0];if(s&&s.length>0){for(let c of s)c[0]a[2]&&(a[2]=c[0]),c[1]>a[3]&&(a[3]=c[1]);a[2]-=a[0],a[3]-=a[1],i=[a[0]/(e.shape[2]||0),a[1]/(e.shape[1]||0),a[2]/(e.shape[2]||0),a[3]/(e.shape[1]||0)]}else a=o[r].box?[Math.trunc(Math.max(0,o[r].box.topLeft[0])),Math.trunc(Math.max(0,o[r].box.topLeft[1])),Math.trunc(Math.min(e.shape[2]||0,o[r].box.bottomRight[0])-Math.max(0,o[r].box.topLeft[0])),Math.trunc(Math.min(e.shape[1]||0,o[r].box.bottomRight[1])-Math.max(0,o[r].box.topLeft[1]))]:[0,0,0,0],i=[o[r].box.topLeft[0]/(e.shape[2]||0),o[r].box.topLeft[1]/(e.shape[1]||0),(o[r].box.bottomRight[0]-o[r].box.topLeft[0])/(e.shape[2]||0),(o[r].box.bottomRight[1]-o[r].box.topLeft[1])/(e.shape[1]||0)];let y=a5(s);n.push({id:r,score:Math.round(100*o[r].confidence)/100,boxScore:Math.round(100*o[r].boxConfidence)/100,fingerScore:Math.round(100*o[r].fingerConfidence)/100,label:"hand",box:a,boxRaw:i,keypoints:s,annotations:A,landmarks:y})}return n}async function M1(e){var o,n;v.initial&&(n2=null,r2=null),!n2||!r2?[n2,r2]=await Promise.all([e.hand.enabled?G((o=e.hand.detector)==null?void 0:o.modelPath):null,e.hand.landmarks?G((n=e.hand.skeleton)==null?void 0:n.modelPath):null]):(e.debug&&p("cached model:",n2.modelUrl),e.debug&&p("cached model:",r2.modelUrl));let t=new A5(n2);return io=new s5(t,r2),[n2,r2]}var J=D(H());var c0=[null,null],Er=["StatefulPartitionedCall/Postprocessor/Slice","StatefulPartitionedCall/Postprocessor/ExpandDims_1"],Ee=[[0,0],[0,0]],zr=["hand","fist","pinch","point","face","tip","pinchtip"],yo=4,xo=1.6,Sr=512,Cr=1.4,i5=Number.MAX_SAFE_INTEGER,R1=0,ce=[0,0],A0={boxes:[],hands:[]},co={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],base:[0],palm:[0,17,13,9,5,1,0]};async function fo(e){var t;if(v.initial&&(c0[0]=null),c0[0])e.debug&&p("cached model:",c0[0].modelUrl);else{l5(["tensorlistreserve","enter","tensorlistfromtensor","merge","loopcond","switch","exit","tensorliststack","nextiteration","tensorlistsetitem","tensorlistgetitem","reciprocal","shape","split","where"],e),c0[0]=await G((t=e.hand.detector)==null?void 0:t.modelPath);let o=Object.values(c0[0].modelSignature.inputs);Ee[0][0]=Array.isArray(o)?parseInt(o[0].tensorShape.dim[1].size):0,Ee[0][1]=Array.isArray(o)?parseInt(o[0].tensorShape.dim[2].size):0}return c0[0]}async function mo(e){var t;if(v.initial&&(c0[1]=null),c0[1])e.debug&&p("cached model:",c0[1].modelUrl);else{c0[1]=await G((t=e.hand.skeleton)==null?void 0:t.modelPath);let o=Object.values(c0[1].modelSignature.inputs);Ee[1][0]=Array.isArray(o)?parseInt(o[0].tensorShape.dim[1].size):0,Ee[1][1]=Array.isArray(o)?parseInt(o[0].tensorShape.dim[2].size):0}return c0[1]}async function jr(e,t){let o=[];if(!e||!c0[0])return o;let n={},r=(e.shape[2]||1)/(e.shape[1]||1),A=Math.min(Math.round((e.shape[1]||0)/8)*8,Sr),s=Math.round(A*r/8)*8;n.resize=J.image.resizeBilinear(e,[A,s]),n.cast=J.cast(n.resize,"int32"),[n.rawScores,n.rawBoxes]=await c0[0].executeAsync(n.cast,Er),n.boxes=J.squeeze(n.rawBoxes,[0,2]),n.scores=J.squeeze(n.rawScores,[0]);let a=J.unstack(n.scores,1);J.dispose(a[yo]),a.splice(yo,1),n.filtered=J.stack(a,1),J.dispose(a),n.max=J.max(n.filtered,1),n.argmax=J.argMax(n.filtered,1);let i=0;n.nms=await J.image.nonMaxSuppressionAsync(n.boxes,n.max,(t.hand.maxDetected||0)+1,t.hand.iouThreshold||0,t.hand.minConfidence||1);let y=await n.nms.data(),c=await n.max.data(),l=await n.argmax.data();for(let x of Array.from(y)){let f=J.slice(n.boxes,x,1),u=await f.data();J.dispose(f);let m=[u[1],u[0],u[3]-u[1],u[2]-u[0]],M=K2(m,Cr),g=[Math.trunc(m[0]*ce[0]),Math.trunc(m[1]*ce[1]),Math.trunc(m[2]*ce[0]),Math.trunc(m[3]*ce[1])],b=c[x],d=zr[l[x]],P={id:i++,score:b,box:g,boxRaw:M,label:d};o.push(P)}return Object.keys(n).forEach(x=>J.dispose(n[x])),o.sort((x,f)=>f.score-x.score),o.length>(t.hand.maxDetected||1)&&(o.length=t.hand.maxDetected||1),o}async function v1(e,t,o){let n={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&&c0[1]&&o.hand.landmarks&&t.score>(o.hand.minConfidence||0)){let r={},A=[t.boxRaw[1],t.boxRaw[0],t.boxRaw[3]+t.boxRaw[1],t.boxRaw[2]+t.boxRaw[0]];r.crop=J.image.cropAndResize(e,[A],[0],[Ee[1][0],Ee[1][1]],"bilinear"),r.div=J.div(r.crop,B.tf255),[r.score,r.keypoints]=c0[1].execute(r.div,["Identity_1","Identity"]);let s=(await r.score.data())[0],a=(100-Math.trunc(100/(1+Math.exp(s))))/100;if(a>=(o.hand.minConfidence||0)){n.fingerScore=a,r.reshaped=J.reshape(r.keypoints,[-1,3]);let c=(await r.reshaped.array()).map(l=>[l[0]/Ee[1][1],l[1]/Ee[1][0],l[2]||0]).map(l=>[l[0]*t.boxRaw[2],l[1]*t.boxRaw[3],l[2]||0]);n.keypoints=c.map(l=>[ce[0]*(l[0]+t.boxRaw[0]),ce[1]*(l[1]+t.boxRaw[1]),l[2]||0]),n.landmarks=a5(n.keypoints);for(let l of Object.keys(co))n.annotations[l]=co[l].map(x=>n.landmarks&&n.keypoints[x]?n.keypoints[x]:null)}Object.keys(r).forEach(i=>J.dispose(r[i]))}return n}async function T1(e,t){var r,A;if(!c0[0]||!c0[1]||!((r=c0[0])!=null&&r.inputs[0].shape)||!((A=c0[1])!=null&&A.inputs[0].shape))return[];ce=[e.shape[2]||0,e.shape[1]||0],i5++;let o=(t.hand.skipTime||0)>h()-R1,n=i5<(t.hand.skipFrames||0);return t.skipAllowed&&o&&n?A0.hands:new Promise(async s=>{let a=3*(t.hand.skipTime||0)>h()-R1,i=i5<3*(t.hand.skipFrames||0);t.skipAllowed&&A0.hands.length===t.hand.maxDetected?A0.hands=await Promise.all(A0.boxes.map(c=>v1(e,c,t))):t.skipAllowed&&a&&i&&A0.hands.length>0?A0.hands=await Promise.all(A0.boxes.map(c=>v1(e,c,t))):(A0.boxes=await jr(e,t),R1=h(),A0.hands=await Promise.all(A0.boxes.map(c=>v1(e,c,t))),i5=0);let y=[...A0.boxes];if(A0.boxes.length=0,t.cacheSensitivity>0)for(let c=0;c.05&&l.box[3]/(e.shape[1]||1)>.05&&A0.hands[c].fingerScore&&A0.hands[c].fingerScore>(t.hand.minConfidence||0)){let x=K2(l.box,xo),f=K2(l.boxRaw,xo);A0.boxes.push({...y[c],box:x,boxRaw:f})}}for(let c=0;ch()-ho,A=w1<(((a=t.face.liveness)==null?void 0:a.skipFrames)||0);return t.skipAllowed&&r&&A&&uo===n&&y5[o]?(w1++,y5[o]):(w1=0,new Promise(async i=>{let y=x5.image.resizeBilinear(e,[g0!=null&&g0.inputs[0].shape?g0.inputs[0].shape[2]:0,g0!=null&&g0.inputs[0].shape?g0.inputs[0].shape[1]:0],!1),c=g0==null?void 0:g0.execute(y),l=(await c.data())[0];y5[o]=Math.round(100*l)/100,uo=n,ho=h(),x5.dispose([y,c]),i(y5[o])}))}var To=D(H());var w2={};Se(w2,{connected:()=>d5,horizontal:()=>E1,kpt:()=>c5,relative:()=>S1,vertical:()=>z1});var c5=["nose","leftEye","rightEye","leftEar","rightEar","leftShoulder","rightShoulder","leftElbow","rightElbow","leftWrist","rightWrist","leftHip","rightHip","leftKnee","rightKnee","leftAnkle","rightAnkle"],E1=[["leftEye","rightEye"],["leftEar","rightEar"],["leftShoulder","rightShoulder"],["leftElbow","rightElbow"],["leftWrist","rightWrist"],["leftHip","rightHip"],["leftKnee","rightKnee"],["leftAnkle","rightAnkle"]],z1=[["leftKnee","leftShoulder"],["rightKnee","rightShoulder"],["leftAnkle","leftKnee"],["rightAnkle","rightKnee"]],S1=[[["leftHip","rightHip"],["leftShoulder","rightShoulder"]],[["leftElbow","rightElbow"],["leftShoulder","rightShoulder"]]],d5={leftLeg:["leftHip","leftKnee","leftAnkle"],rightLeg:["rightHip","rightKnee","rightAnkle"],torso:["leftShoulder","rightShoulder","rightHip","leftHip","leftShoulder"],leftArm:["leftShoulder","leftElbow","leftWrist"],rightArm:["rightShoulder","rightElbow","rightWrist"],head:[]};var ze=D(H()),Po=.005,O0={keypoints:[],padding:[[0,0],[0,0],[0,0],[0,0]]};function C1(e){for(let t of E1){let o=e.keypoints.findIndex(r=>r.part===t[0]),n=e.keypoints.findIndex(r=>r.part===t[1]);if(e.keypoints[o]&&e.keypoints[n]&&e.keypoints[o].position[0]r&&r.part===t[0]),n=e.keypoints.findIndex(r=>r&&r.part===t[1]);e.keypoints[o]&&e.keypoints[n]&&e.keypoints[o].position[1]y&&y.part===t[0]),r=e.keypoints.findIndex(y=>y&&y.part===t[1]),A=e.keypoints.findIndex(y=>y&&y.part===o[0]),s=e.keypoints.findIndex(y=>y&&y.part===o[1]);if(!e.keypoints[A]||!e.keypoints[s])continue;let a=e.keypoints[n]?[Math.abs(e.keypoints[A].position[0]-e.keypoints[n].position[0]),Math.abs(e.keypoints[s].position[0]-e.keypoints[n].position[0])]:[0,0],i=e.keypoints[r]?[Math.abs(e.keypoints[s].position[0]-e.keypoints[r].position[0]),Math.abs(e.keypoints[A].position[0]-e.keypoints[r].position[0])]:[0,0];if(a[0]>a[1]||i[0]>i[1]){let y=e.keypoints[n];e.keypoints[n]=e.keypoints[r],e.keypoints[r]=y}}}function Mo(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]],o.pad=ze.pad(e,O0.padding),o.resize=ze.image.resizeBilinear(o.pad,[t,t]);let n=ze.cast(o.resize,"int32");return Object.keys(o).forEach(r=>ze.dispose(o[r])),n}function vo(e,t){e.keypoints=e.keypoints.filter(n=>n&&n.position);for(let n of e.keypoints)n.position=[n.position[0]*(t[0]+O0.padding[2][0]+O0.padding[2][1])/t[0]-O0.padding[2][0],n.position[1]*(t[1]+O0.padding[1][0]+O0.padding[1][1])/t[1]-O0.padding[1][0]],n.positionRaw=[n.position[0]/t[0],n.position[1]/t[1]];let o=ae(e.keypoints.map(n=>n.position),t);return e.box=o.box,e.boxRaw=o.boxRaw,e}var L0,f5=0,j1=Number.MAX_SAFE_INTEGER,He={boxes:[],bodies:[],last:0};async function wo(e){return v.initial&&(L0=null),L0?e.debug&&p("cached model:",L0.modelUrl):(l5(["size"],e),L0=await G(e.body.modelPath)),f5=L0.inputs[0].shape?L0.inputs[0].shape[2]:0,f5<64&&(f5=256),L0}async function Nr(e,t,o){let n=e[0][0],r=[],A=0;for(let c=0;ct.body.minConfidence){let l=[n[c][1],n[c][0]];r.push({score:Math.round(100*A)/100,part:c5[c],positionRaw:l,position:[Math.round((o.shape[2]||0)*l[0]),Math.round((o.shape[1]||0)*l[1])]})}A=r.reduce((c,l)=>l.score>c?l.score:c,0);let s=[],a=ae(r.map(c=>c.position),[o.shape[2],o.shape[1]]),i={};for(let[c,l]of Object.entries(d5)){let x=[];for(let f=0;fM.part===l[f]),m=r.find(M=>M.part===l[f+1]);u&&m&&u.score>(t.body.minConfidence||0)&&m.score>(t.body.minConfidence||0)&&x.push([u.position,m.position])}i[c]=x}let y={id:0,score:A,box:a.box,boxRaw:a.boxRaw,keypoints:r,annotations:i};return C1(y),s.push(y),s}async function Or(e,t,o){let n=[];for(let r=0;rt.body.minConfidence){let a=[];for(let l=0;l<17;l++){let x=A[3*l+2];if(x>t.body.minConfidence){let f=[A[3*l+1],A[3*l+0]];a.push({part:c5[l],score:Math.round(100*x)/100,positionRaw:f,position:[Math.round((o.shape[2]||0)*f[0]),Math.round((o.shape[1]||0)*f[1])]})}}let i=ae(a.map(l=>l.position),[o.shape[2],o.shape[1]]),y={};for(let[l,x]of Object.entries(d5)){let f=[];for(let u=0;ug.part===x[u]),M=a.find(g=>g.part===x[u+1]);m&&M&&m.score>(t.body.minConfidence||0)&&M.score>(t.body.minConfidence||0)&&f.push([m.position,M.position])}y[l]=f}let c={id:r,score:s,box:i.box,boxRaw:i.boxRaw,keypoints:[...a],annotations:y};C1(c),n.push(c)}}return n.sort((r,A)=>A.score-r.score),n.length>t.body.maxDetected&&(n.length=t.body.maxDetected),n}async function I1(e,t){if(!L0||!(L0!=null&&L0.inputs[0].shape))return[];t.skipAllowed||(He.boxes.length=0),j1++;let o=(t.body.skipTime||0)>h()-He.last,n=j1<(t.body.skipFrames||0);return t.skipAllowed&&o&&n?He.bodies:new Promise(async r=>{let A={};j1=0,A.input=Ro(e,f5),A.res=L0==null?void 0:L0.execute(A.input),He.last=h();let s=await A.res.array();He.bodies=A.res.shape[2]===17?await Nr(s,t,e):await Or(s,t,e);for(let a of He.bodies)vo(a,[e.shape[2]||1,e.shape[1]||1]),Mo(a.keypoints);Object.keys(A).forEach(a=>To.dispose(A[a])),r(He.bodies)})}var w0=D(H());var A2,m5=[],Eo=0,N1=Number.MAX_SAFE_INTEGER,u5=0,p5=2.5;async function zo(e){if(!A2||v.initial){A2=await G(e.object.modelPath);let t=Object.values(A2.modelSignature.inputs);u5=Array.isArray(t)?parseInt(t[0].tensorShape.dim[2].size):0}else e.debug&&p("cached model:",A2.modelUrl);return A2}async function Lr(e,t,o){let n=0,r=[];for(let i of[1,2,4])w0.tidy(async()=>{let y=i*13,c=w0.squeeze(e.find(m=>m.shape[1]===y**2&&(m.shape[2]||0)===Je.length)),l=w0.squeeze(e.find(m=>m.shape[1]===y**2&&(m.shape[2]||0)(o.object.minConfidence||0)&&M!==61){let b=(.5+Math.trunc(m%y))/y,d=(.5+Math.trunc(m/y))/y,P=f[m].map(K=>K*(y/i/u5)),[S,w]=[b-p5/i*P[0],d-p5/i*P[1]],[j,C]=[b+p5/i*P[2]-S,d+p5/i*P[3]-w],F=[S,w,j,C];F=F.map(K=>Math.max(0,Math.min(K,1)));let Q=[F[0]*t[0],F[1]*t[1],F[2]*t[0],F[3]*t[1]],U={id:n++,score:Math.round(100*g)/100,class:M+1,label:Je[M].label,box:Q.map(K=>Math.trunc(K)),boxRaw:F};r.push(U)}}});e.forEach(i=>w0.dispose(i));let A=r.map(i=>[i.boxRaw[1],i.boxRaw[0],i.boxRaw[3],i.boxRaw[2]]),s=r.map(i=>i.score),a=[];if(A&&A.length>0){let i=await w0.image.nonMaxSuppressionAsync(A,s,o.object.maxDetected,o.object.iouThreshold,o.object.minConfidence);a=await i.data(),w0.dispose(i)}return r=r.filter((i,y)=>a.includes(y)).sort((i,y)=>y.score-i.score),r}async function O1(e,t){let o=(t.object.skipTime||0)>h()-Eo,n=N1<(t.object.skipFrames||0);return t.skipAllowed&&o&&n&&m5.length>0?(N1++,m5):(N1=0,!v.kernels.includes("mod")||!v.kernels.includes("sparsetodense")?m5:new Promise(async r=>{let A=[e.shape[2]||0,e.shape[1]||0],s=w0.image.resizeBilinear(e,[u5,u5],!1),a=w0.div(s,B.tf255),i=a.transpose([0,3,1,2]);w0.dispose(a),w0.dispose(s);let y;t.object.enabled&&(y=A2.execute(i)),Eo=h(),w0.dispose(i);let c=await Lr(y,A,t);m5=c,r(c)}))}var k0=D(H());var E2=["nose","leftEye","rightEye","leftEar","rightEar","leftShoulder","rightShoulder","leftElbow","rightElbow","leftWrist","rightWrist","leftHip","rightHip","leftKnee","rightKnee","leftAnkle","rightAnkle"],Wr=E2.length,k2=E2.reduce((e,t,o)=>(e[t]=o,e),{}),Fr=[["leftHip","leftShoulder"],["leftElbow","leftShoulder"],["leftElbow","leftWrist"],["leftHip","leftKnee"],["leftKnee","leftAnkle"],["rightHip","rightShoulder"],["rightElbow","rightShoulder"],["rightElbow","rightWrist"],["rightHip","rightKnee"],["rightKnee","rightAnkle"],["leftShoulder","rightShoulder"],["leftHip","rightHip"]],i4=Fr.map(([e,t])=>[k2[e],k2[t]]),Co=[["nose","leftEye"],["leftEye","leftEar"],["nose","rightEye"],["rightEye","rightEar"],["nose","leftShoulder"],["leftShoulder","leftElbow"],["leftElbow","leftWrist"],["leftShoulder","leftHip"],["leftHip","leftKnee"],["leftKnee","leftAnkle"],["nose","rightShoulder"],["rightShoulder","rightElbow"],["rightElbow","rightWrist"],["rightShoulder","rightHip"],["rightHip","rightKnee"],["rightKnee","rightAnkle"]];function jo(e){let t=e.reduce(({maxX:o,maxY:n,minX:r,minY:A},{position:{x:s,y:a}})=>({maxX:Math.max(o,s),maxY:Math.max(n,a),minX:Math.min(r,s),minY:Math.min(A,a)}),{maxX:Number.NEGATIVE_INFINITY,maxY:Number.NEGATIVE_INFINITY,minX:Number.POSITIVE_INFINITY,minY:Number.POSITIVE_INFINITY});return[t.minX,t.minY,t.maxX-t.minX,t.maxY-t.minY]}function Io(e,[t,o],[n,r]){let A=t/n,s=o/r,a=(y,c)=>({id:c,score:y.score,boxRaw:[y.box[0]/r,y.box[1]/n,y.box[2]/r,y.box[3]/n],box:[Math.trunc(y.box[0]*s),Math.trunc(y.box[1]*A),Math.trunc(y.box[2]*s),Math.trunc(y.box[3]*A)],keypoints:y.keypoints.map(({score:l,part:x,position:f})=>({score:l,part:x,position:[Math.trunc(f.x*s),Math.trunc(f.y*A)],positionRaw:[f.x/n,f.y/n]})),annotations:{}});return e.map((y,c)=>a(y,c))}var h5=class{constructor(t,o){T(this,"priorityQueue");T(this,"numberOfElements");T(this,"getElementValue");this.priorityQueue=new 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Ue=e=>[Math.abs(e.endPoint[0]-e.startPoint[0]),Math.abs(e.endPoint[1]-e.startPoint[1])],D2=e=>[e.startPoint[0]+(e.endPoint[0]-e.startPoint[0])/2,e.startPoint[1]+(e.endPoint[1]-e.startPoint[1])/2,1],Z2=(e,t)=>e?[Math.trunc(Math.max(0,e.startPoint[0])),Math.trunc(Math.max(0,e.startPoint[1])),Math.trunc(Math.min(t.shape[2]||0,e.endPoint[0])-Math.max(0,e.startPoint[0])),Math.trunc(Math.min(t.shape[1]||0,e.endPoint[1])-Math.max(0,e.startPoint[1]))]:[0,0,0,0],X2=(e,t)=>e?[e.startPoint[0]/(t.shape[2]||0),e.startPoint[1]/(t.shape[1]||0),(e.endPoint[0]-e.startPoint[0])/(t.shape[2]||0),(e.endPoint[1]-e.startPoint[1])/(t.shape[1]||0)]:[0,0,0,0],Zt=(e,t)=>{let o=[e.startPoint[0]*t[0],e.startPoint[1]*t[1]],n=[e.endPoint[0]*t[0],e.endPoint[1]*t[1]];return{startPoint:o,endPoint:n,landmarks:e.landmarks,confidence:e.confidence}},U5=(e,t,o)=>{let n=t.shape[1],r=t.shape[2],A=[e.startPoint[1]/n,e.startPoint[0]/r,e.endPoint[1]/n,e.endPoint[0]/r],s=se.image.cropAndResize(t,[A],[0],o),a=se.div(s,B.tf255);return se.dispose(s),a},q2=(e,t)=>{let o=D2(e),n=Ue(e),r=[t*n[0]/2,t*n[1]/2];return{startPoint:[o[0]-r[0],o[1]-r[1]],endPoint:[o[0]+r[0],o[1]+r[1]],landmarks:e.landmarks,confidence:e.confidence}},U2=e=>{let t=D2(e),o=Ue(e),n=Math.max(...o)/2;return{startPoint:[Math.round(t[0]-n),Math.round(t[1]-n)],endPoint:[Math.round(t[0]+n),Math.round(t[1]+n)],landmarks:e.landmarks,confidence:e.confidence}},Xt=e=>{let t=e.map(n=>n[0]),o=e.map(n=>n[1]);return{startPoint:[Math.min(...t),Math.min(...o)],endPoint:[Math.max(...t),Math.max(...o)],landmarks:e}},Y5=[[1,0,0],[0,1,0],[0,0,1]],On=e=>e-2*Math.PI*Math.floor((e+Math.PI)/(2*Math.PI)),Ln=(e,t)=>On(Math.PI/2-Math.atan2(-(t[1]-e[1]),t[0]-e[0]));var Vt=(e,t)=>[[1,0,e],[0,1,t],[0,0,1]],Ie=(e,t)=>{let o=0;for(let n=0;n{let o=[];for(let n=0;n{let o=[],n=e.length;for(let r=0;r{let 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y=D2(t),c=[y[0]/o.shape[2],y[1]/o.shape[1]],l=se.image.rotateWithOffset(o,A,0,c);s=qt(-A,y),a=U5(t,l,[n,n]),se.dispose(l)}else a=U5(t,o,[n,n]);else a=U5(t,o,[n,n]);return[A,s,a]}var Bn=e=>{let t=e.map(n=>n[0]),o=e.map(n=>n[1]);return[Math.min(...t)+(Math.max(...t)-Math.min(...t))/2,Math.min(...o)+(Math.max(...o)-Math.min(...o))/2]},Jt=(e,t)=>{let o=Bn(e),n=Ue(t);return{startPoint:[o[0]-n[0]/2,o[1]-n[1]/2],endPoint:[o[0]+n[0]/2,o[1]+n[1]/2]}};var Qt=6,Hn=1.4,_0,_t=null,he=0,M2=null,Ye=()=>he;async function $t(e){var t;return v.initial&&(_0=null),_0?e.debug&&p("cached model:",_0.modelUrl):_0=await G((t=e.face.detector)==null?void 0:t.modelPath),he=_0.inputs[0].shape?_0.inputs[0].shape[2]:0,M2=O.scalar(he,"int32"),_t=O.tensor2d(Ut(he)),_0}function Vn(e){let t={};t.boxStarts=O.slice(e,[0,1],[-1,2]),t.centers=O.add(t.boxStarts,_t),t.boxSizes=O.slice(e,[0,3],[-1,2]),t.boxSizesNormalized=O.div(t.boxSizes,M2),t.centersNormalized=O.div(t.centers,M2),t.halfBoxSize=O.div(t.boxSizesNormalized,B.tf2),t.starts=O.sub(t.centersNormalized,t.halfBoxSize),t.ends=O.add(t.centersNormalized,t.halfBoxSize),t.startNormalized=O.mul(t.starts,M2),t.endNormalized=O.mul(t.ends,M2);let o=O.concat2d([t.startNormalized,t.endNormalized],1);return Object.keys(t).forEach(n=>O.dispose(t[n])),o}async function e3(e,t){var a,i,y,c;if(!e||e.isDisposedInternal||e.shape.length!==4||e.shape[1]<1||e.shape[2]<1)return[];let o={};o.resized=O.image.resizeBilinear(e,[he,he]),o.div=O.div(o.resized,B.tf127),o.normalized=O.sub(o.div,B.tf05);let n=_0==null?void 0:_0.execute(o.normalized);if(Array.isArray(n)&&n.length>2){let l=n.sort((x,f)=>x.size-f.size);o.concat384=O.concat([l[0],l[2]],2),o.concat512=O.concat([l[1],l[3]],2),o.concat=O.concat([o.concat512,o.concat384],1),o.batch=O.squeeze(o.concat,0)}else Array.isArray(n)?o.batch=O.squeeze(n[0]):o.batch=O.squeeze(n);O.dispose(n),o.boxes=Vn(o.batch),o.logits=O.slice(o.batch,[0,0],[-1,1]),o.sigmoid=O.sigmoid(o.logits),o.scores=O.squeeze(o.sigmoid),o.nms=await O.image.nonMaxSuppressionAsync(o.boxes,o.scores,((a=t.face.detector)==null?void 0:a.maxDetected)||0,((i=t.face.detector)==null?void 0:i.iouThreshold)||0,((y=t.face.detector)==null?void 0:y.minConfidence)||0);let r=await o.nms.array(),A=[],s=await o.scores.data();for(let l=0;l(((c=t.face.detector)==null?void 0:c.minConfidence)||0)){let f={};f.bbox=O.slice(o.boxes,[r[l],0],[1,-1]),f.slice=O.slice(o.batch,[r[l],Qt-1],[1,-1]),f.squeeze=O.squeeze(f.slice),f.landmarks=O.reshape(f.squeeze,[Qt,-1]);let u=await f.bbox.data(),m={startPoint:[u[0],u[1]],endPoint:[u[2],u[3]],landmarks:await f.landmarks.array(),confidence:x},M=Zt(m,[(e.shape[2]||0)/he,(e.shape[1]||0)/he]),g=q2(M,t.face.scale||Hn),b=U2(g);A.push(b),Object.keys(f).forEach(d=>O.dispose(f[d]))}}return Object.keys(o).forEach(l=>O.dispose(o[l])),A}var C0=D(H());var Y2={};Se(Y2,{connected:()=>Q5,kpt:()=>J5});var J5=["nose","leftEyeInside","leftEye","leftEyeOutside","rightEyeInside","rightEye","rightEyeOutside","leftEar","rightEar","leftMouth","rightMouth","leftShoulder","rightShoulder","leftElbow","rightElbow","leftWrist","rightWrist","leftPinky","rightPinky","leftIndex","rightIndex","leftThumb","rightThumb","leftHip","rightHip","leftKnee","rightKnee","leftAnkle","rightAnkle","leftHeel","rightHeel","leftFoot","rightFoot","bodyCenter","bodyTop","leftPalm","leftHand","rightPalm","rightHand"],Q5={shoulders:["leftShoulder","rightShoulder"],hips:["rightHip","leftHip"],mouth:["leftMouth","rightMouth"],leftLegUpper:["leftHip","leftKnee"],leftLegLower:["leftKnee","leftAnkle"],leftFoot:["leftAnkle","leftHeel","leftFoot"],leftTorso:["leftShoulder","leftHip"],leftArmUpper:["leftShoulder","leftElbow"],leftArmLower:["leftElbow","leftWrist"],leftHand:["leftWrist","leftPalm"],leftHandPinky:["leftPalm","leftPinky"],leftHandIndex:["leftPalm","leftIndex"],leftHandThumb:["leftPalm","leftThumb"],leftEyeOutline:["leftEyeInside","leftEyeOutside"],rightLegUpper:["rightHip","rightKnee"],rightLegLower:["rightKnee","rightAnkle"],rightFoot:["rightAnkle","rightHeel","rightFoot"],rightTorso:["rightShoulder","rightHip"],rightArmUpper:["rightShoulder","rightElbow"],rightArmLower:["rightElbow","rightWrist"],rightHand:["rightWrist","rightPalm"],rightHandPinky:["rightPalm","rightPinky"],rightHandIndex:["rightPalm","rightIndex"],rightHandThumb:["rightPalm","rightThumb"],rightEyeOutline:["rightEyeInside","rightEyeOutside"]};var z0=D(H()),o3=224,Dn,Zn=5,K2=[8,16,32,32,32];async function n3(){let e=[],t=0;for(;to.x)),y:z0.tensor1d(e.map(o=>o.y))}}function ae(e,t=[1,1]){let o=[e.map(a=>a[0]),e.map(a=>a[1])],n=[Math.min(...o[0]),Math.min(...o[1])],r=[Math.max(...o[0]),Math.max(...o[1])],A=[n[0],n[1],r[0]-n[0],r[1]-n[1]],s=[A[0]/t[0],A[1]/t[1],A[2]/t[0],A[3]/t[1]];return{box:A,boxRaw:s}}function r3(e,t=[1,1]){let o=[e.map(y=>y[0]),e.map(y=>y[1])],n=[Math.min(...o[0]),Math.min(...o[1])],r=[Math.max(...o[0]),Math.max(...o[1])],A=[(n[0]+r[0])/2,(n[1]+r[1])/2],s=Math.max(A[0]-n[0],A[1]-n[1],-A[0]+r[0],-A[1]+r[1]),a=[Math.trunc(A[0]-s),Math.trunc(A[1]-s),Math.trunc(2*s),Math.trunc(2*s)],i=[a[0]/t[0],a[1]/t[1],a[2]/t[0],a[3]/t[1]];return{box:a,boxRaw:i}}function J2(e,t){let o=[e[2]*t,e[3]*t];return[e[0]-(o[0]-e[2])/2,e[1]-(o[1]-e[3])/2,o[0],o[1]]}var a3={initial:!0},S0={detector:null,landmarks:null},Ke={detector:[224,224],landmarks:[256,256]},_5=Number.MAX_SAFE_INTEGER,qn={landmarks:["ld_3d","activation_segmentation","activation_heatmap","world_3d","output_poseflag"],detector:[]},_2=null,R2,be=[[0,0],[0,0],[0,0],[0,0]],A3=0,s3=e=>1-1/(1+Math.exp(e));async function i3(e){if(a3.initial&&(S0.detector=null),!S0.detector&&e.body.detector&&e.body.detector.modelPath){S0.detector=await G(e.body.detector.modelPath);let t=Object.values(S0.detector.modelSignature.inputs);Ke.detector[0]=Array.isArray(t)?parseInt(t[0].tensorShape.dim[1].size):0,Ke.detector[1]=Array.isArray(t)?parseInt(t[0].tensorShape.dim[2].size):0}else e.debug&&S0.detector&&p("cached model:",S0.detector.modelUrl);return await n3(),S0.detector}async function l3(e){if(a3.initial&&(S0.landmarks=null),S0.landmarks)e.debug&&p("cached model:",S0.landmarks.modelUrl);else{S0.landmarks=await G(e.body.modelPath);let t=Object.values(S0.landmarks.modelSignature.inputs);Ke.landmarks[0]=Array.isArray(t)?parseInt(t[0].tensorShape.dim[1].size):0,Ke.landmarks[1]=Array.isArray(t)?parseInt(t[0].tensorShape.dim[2].size):0}return S0.landmarks}async function Un(e,t){let o={};if(!e.shape||!e.shape[1]||!e.shape[2])return e;let n;if(R2&&(o.cropped=C0.image.cropAndResize(e,[R2],[0],[e.shape[1],e.shape[2]])),e.shape[1]!==e.shape[2]){let r=[e.shape[2]>e.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],A=[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];be=[[0,0],r,A,[0,0]],o.pad=C0.pad(o.cropped||e,be),o.resize=C0.image.resizeBilinear(o.pad,[t,t]),n=C0.div(o.resize,B.tf255)}else e.shape[1]!==t?(o.resize=C0.image.resizeBilinear(o.cropped||e,[t,t]),n=C0.div(o.resize,B.tf255)):n=C0.div(o.cropped||e,B.tf255);return Object.keys(o).forEach(r=>C0.dispose(o[r])),n}function Yn(e,t){for(let o of e)o.position=[Math.trunc(o.position[0]*(t[0]+be[2][0]+be[2][1])/t[0]-be[2][0]),Math.trunc(o.position[1]*(t[1]+be[1][0]+be[1][1])/t[1]-be[1][0]),o.position[2]],o.positionRaw=[o.position[0]/t[0],o.position[1]/t[1],2*o.position[2]/(t[0]+t[1])];if(R2)for(let o of e)o.positionRaw=[o.positionRaw[0]+R2[1],o.positionRaw[1]+R2[0],o.positionRaw[2]],o.position=[Math.trunc(o.positionRaw[0]*t[0]),Math.trunc(o.positionRaw[1]*t[1]),o.positionRaw[2]];return e}async function Kn(e){let t=e.find(a=>a.part==="leftPalm"),o=e.find(a=>a.part==="leftWrist"),n=e.find(a=>a.part==="leftIndex");t.position[2]=((o.position[2]||0)+(n.position[2]||0))/2;let r=e.find(a=>a.part==="rightPalm"),A=e.find(a=>a.part==="rightWrist"),s=e.find(a=>a.part==="rightIndex");r.position[2]=((A.position[2]||0)+(s.position[2]||0))/2}async function Jn(e,t,o){var u;let n={};[n.ld,n.segmentation,n.heatmap,n.world,n.poseflag]=(u=S0.landmarks)==null?void 0:u.execute(e,qn.landmarks);let r=(await n.poseflag.data())[0],A=await n.ld.data(),s=await n.world.data();Object.keys(n).forEach(m=>C0.dispose(n[m]));let a=[],i=5;for(let m=0;mm.position),l=ae(c,[o[0],o[1]]),x={};for(let[m,M]of Object.entries(Q5)){let g=[];for(let b=0;bS.part===M[b]),P=y.find(S=>S.part===M[b+1]);d&&P&&g.push([d.position,P.position])}x[m]=g}return{id:0,score:Math.trunc(100*r)/100,box:l.box,boxRaw:l.boxRaw,keypoints:y,annotations:x}}async function $5(e,t){let o=[e.shape[2]||0,e.shape[1]||0],n=(t.body.skipTime||0)>h()-A3,r=_5<(t.body.skipFrames||0);if(t.skipAllowed&&n&&r&&_2!==null)_5++;else{let A={};A.landmarks=await Un(e,256),_2=await Jn(A.landmarks,t,o),Object.keys(A).forEach(s=>C0.dispose(A[s])),A3=h(),_5=0}return _2?[_2]:[]}var R0=D(H());var Je=[{class:1,label:"person"},{class:2,label:"bicycle"},{class:3,label:"car"},{class:4,label:"motorcycle"},{class:5,label:"airplane"},{class:6,label:"bus"},{class:7,label:"train"},{class:8,label:"truck"},{class:9,label:"boat"},{class:10,label:"traffic 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glass"},{class:42,label:"cup"},{class:43,label:"fork"},{class:44,label:"knife"},{class:45,label:"spoon"},{class:46,label:"bowl"},{class:47,label:"banana"},{class:48,label:"apple"},{class:49,label:"sandwich"},{class:50,label:"orange"},{class:51,label:"broccoli"},{class:52,label:"carrot"},{class:53,label:"hot dog"},{class:54,label:"pizza"},{class:55,label:"donut"},{class:56,label:"cake"},{class:57,label:"chair"},{class:58,label:"couch"},{class:59,label:"potted plant"},{class:60,label:"bed"},{class:61,label:"dining table"},{class:62,label:"toilet"},{class:63,label:"tv"},{class:64,label:"laptop"},{class:65,label:"mouse"},{class:66,label:"remote"},{class:67,label:"keyboard"},{class:68,label:"cell phone"},{class:69,label:"microwave"},{class:70,label:"oven"},{class:71,label:"toaster"},{class:72,label:"sink"},{class:73,label:"refrigerator"},{class:74,label:"book"},{class:75,label:"clock"},{class:76,label:"vase"},{class:77,label:"scissors"},{class:78,label:"teddy bear"},{class:79,label:"hair drier"},{class:80,label:"toothbrush"}];var ie,Ne=0,e1=[],x3=0,t1=Number.MAX_SAFE_INTEGER;async function c3(e){if(v.initial&&(ie=null),ie)e.debug&&p("cached model:",ie.modelUrl);else{ie=await G(e.object.modelPath);let t=Object.values(ie.modelSignature.inputs);Ne=Array.isArray(t)?parseInt(t[0].tensorShape.dim[2].size):0}return ie}async function Qn(e,t,o){if(!e)return[];let n={},r=[],A=await e.array();n.squeeze=R0.squeeze(e);let s=R0.split(n.squeeze,6,1);n.stack=R0.stack([s[1],s[0],s[3],s[2]],1),n.boxes=R0.squeeze(n.stack),n.scores=R0.squeeze(s[4]),n.classes=R0.squeeze(s[5]),R0.dispose([e,...s]),n.nms=await R0.image.nonMaxSuppressionAsync(n.boxes,n.scores,o.object.maxDetected,o.object.iouThreshold,o.object.minConfidence||0);let a=await n.nms.data(),i=0;for(let y of Array.from(a)){let c=Math.trunc(100*A[0][y][4])/100,l=A[0][y][5],x=Je[l].label,[f,u]=[A[0][y][0]/Ne,A[0][y][1]/Ne],m=[f,u,A[0][y][2]/Ne-f,A[0][y][3]/Ne-u],M=[Math.trunc(m[0]*t[0]),Math.trunc(m[1]*t[1]),Math.trunc(m[2]*t[0]),Math.trunc(m[3]*t[1])];r.push({id:i++,score:c,class:l,label:x,box:M,boxRaw:m})}return Object.keys(n).forEach(y=>R0.dispose(n[y])),r}async function o1(e,t){let o=(t.object.skipTime||0)>h()-x3,n=t1<(t.object.skipFrames||0);return t.skipAllowed&&o&&n&&e1.length>0?(t1++,e1):(t1=0,new Promise(async r=>{let A=[e.shape[2]||0,e.shape[1]||0],s=R0.image.resizeBilinear(e,[Ne,Ne]),a=t.object.enabled?ie==null?void 0:ie.execute(s,["tower_0/detections"]):null;x3=h(),R0.dispose(s);let i=await Qn(a,A,t);e1=i,r(i)}))}var _=D(H());var $2={};Se($2,{connected:()=>r1,kpt:()=>n1});var n1=["head","neck","rightShoulder","rightElbow","rightWrist","chest","leftShoulder","leftElbow","leftWrist","bodyCenter","rightHip","rightKnee","rightAnkle","leftHip","leftKnee","leftAnkle"],r1={leftLeg:["leftHip","leftKnee","leftAnkle"],rightLeg:["rightHip","rightKnee","rightAnkle"],torso:["leftShoulder","rightShoulder","rightHip","leftHip","leftShoulder"],leftArm:["leftShoulder","leftElbow","leftWrist"],rightArm:["rightShoulder","rightElbow","rightWrist"],head:[]};var h0,f3=0,v0={id:0,keypoints:[],box:[0,0,0,0],boxRaw:[0,0,0,0],score:0,annotations:{}},A1=Number.MAX_SAFE_INTEGER;async function m3(e){return v.initial&&(h0=null),h0?e.debug&&p("cached model:",h0.modelUrl):h0=await G(e.body.modelPath),h0}async function _n(e,t){let[o,n]=e.shape,r=_.reshape(e,[n*o]),A=_.max(r,0),s=(await A.data())[0];if(_.dispose([r,A]),s>t){let a=_.argMax(r,0),i=_.mod(a,o),y=(await i.data())[0],c=_.div(a,_.scalar(o,"int32")),l=(await c.data())[0];return _.dispose([i,c]),[y,l,s]}return[0,0,s]}async function s1(e,t){let o=(t.body.skipTime||0)>h()-f3,n=A1<(t.body.skipFrames||0);return t.skipAllowed&&o&&n&&Object.keys(v0.keypoints).length>0?(A1++,[v0]):(A1=0,new Promise(async r=>{var l;let A=_.tidy(()=>{if(!(h0!=null&&h0.inputs[0].shape))return null;let x=_.image.resizeBilinear(e,[h0.inputs[0].shape[2],h0.inputs[0].shape[1]],!1),f=_.mul(x,B.tf2);return _.sub(f,B.tf1)}),s;if(t.body.enabled&&(s=h0==null?void 0:h0.execute(A)),f3=h(),_.dispose(A),s){v0.keypoints.length=0;let x=s.squeeze();_.dispose(s);let f=x.unstack(2);_.dispose(x);for(let u=0;u(((l=t.body)==null?void 0:l.minConfidence)||0)&&v0.keypoints.push({score:Math.round(100*g)/100,part:n1[u],positionRaw:[m/h0.inputs[0].shape[2],M/h0.inputs[0].shape[1]],position:[Math.round(e.shape[2]*m/h0.inputs[0].shape[2]),Math.round(e.shape[1]*M/h0.inputs[0].shape[1])]})}f.forEach(u=>_.dispose(u))}v0.score=v0.keypoints.reduce((x,f)=>f.score>x?f.score:x,0);let a=v0.keypoints.map(x=>x.position[0]),i=v0.keypoints.map(x=>x.position[1]);v0.box=[Math.min(...a),Math.min(...i),Math.max(...a)-Math.min(...a),Math.max(...i)-Math.min(...i)];let y=v0.keypoints.map(x=>x.positionRaw[0]),c=v0.keypoints.map(x=>x.positionRaw[1]);v0.boxRaw=[Math.min(...y),Math.min(...c),Math.max(...y)-Math.min(...y),Math.max(...c)-Math.min(...c)];for(let[x,f]of Object.entries(r1)){let u=[];for(let m=0;mb.part===f[m]),g=v0.keypoints.find(b=>b.part===f[m+1]);M&&g&&M.score>(t.body.minConfidence||0)&&g.score>(t.body.minConfidence||0)&&u.push([M.position,g.position])}v0.annotations[x]=u}r([v0])}))}var Z0=D(H());var $n=["angry","disgust","fear","happy","sad","surprise","neutral"],G0,e5=[],u3=0,h3=0,a1=Number.MAX_SAFE_INTEGER;async function b3(e){var t;return v.initial&&(G0=null),G0?e.debug&&p("cached model:",G0.modelUrl):G0=await G((t=e.face.emotion)==null?void 0:t.modelPath),G0}async function i1(e,t,o,n){var s,a;if(!G0)return[];let r=a1<(((s=t.face.emotion)==null?void 0:s.skipFrames)||0),A=(((a=t.face.emotion)==null?void 0:a.skipTime)||0)>h()-h3;return t.skipAllowed&&A&&r&&u3===n&&e5[o]&&e5[o].length>0?(a1++,e5[o]):(a1=0,new Promise(async i=>{var c,l;let y=[];if((c=t.face.emotion)!=null&&c.enabled){let x={},f=G0!=null&&G0.inputs[0].shape?G0.inputs[0].shape[2]:0;x.resize=Z0.image.resizeBilinear(e,[f,f],!1),x.channels=Z0.mul(x.resize,B.rgb),x.grayscale=Z0.sum(x.channels,3,!0),x.grayscaleSub=Z0.sub(x.grayscale,B.tf05),x.grayscaleMul=Z0.mul(x.grayscaleSub,B.tf2),x.emotion=G0==null?void 0:G0.execute(x.grayscaleMul),h3=h();let u=await x.emotion.data();for(let m=0;m(((l=t.face.emotion)==null?void 0:l.minConfidence)||0)&&y.push({score:Math.min(.99,Math.trunc(100*u[m])/100),emotion:$n[m]});y.sort((m,M)=>M.score-m.score),Object.keys(x).forEach(m=>Z0.dispose(x[m]))}e5[o]=y,u3=n,i(y)}))}var v3=D(H());var j0,l1=[],P3=0,M3=0,R3=Number.MAX_SAFE_INTEGER;async function T3(e){return v.initial&&(j0=null),j0?e.debug&&p("cached model:",j0.modelUrl):j0=await G(e.face.mobilefacenet.modelPath),j0}async function y1(e,t,o,n){var s,a;if(!j0)return[];let r=R3<(((s=t.face.embedding)==null?void 0:s.skipFrames)||0),A=(((a=t.face.embedding)==null?void 0:a.skipTime)||0)>h()-M3;return t.skipAllowed&&A&&r&&P3===n&&l1[o]?(R3++,l1[o]):new Promise(async i=>{var c;let y=[];if(((c=t.face.embedding)==null?void 0:c.enabled)&&(j0==null?void 0:j0.inputs[0].shape)){let l={};l.crop=v3.image.resizeBilinear(e,[j0.inputs[0].shape[2],j0.inputs[0].shape[1]],!1),l.data=j0==null?void 0:j0.execute(l.crop);let x=await l.data.data();y=Array.from(x)}l1[o]=y,P3=n,M3=h(),i(y)})}var $e=D(H());var X0=D(H());var le,ge=0,er=2.3,x1=D0.leftEyeLower0,c1=D0.rightEyeLower0,Qe={leftBounds:[x1[0],x1[x1.length-1]],rightBounds:[c1[0],c1[c1.length-1]]},_e={upperCenter:3,lowerCenter:4,index:71,numCoordinates:76};async function S3(e){var t;return v.initial&&(le=null),le?e.debug&&p("cached model:",le.modelUrl):le=await G((t=e.face.iris)==null?void 0:t.modelPath),ge=le.inputs[0].shape?le.inputs[0].shape[2]:0,ge===-1&&(ge=64),le}function t5(e,t,o,n){for(let r=0;r{let t=e[Qe.leftBounds[0]][2],o=e[Qe.rightBounds[0]][2];return t-o},k3=(e,t,o,n,r,A=!1)=>{let s=U2(q2(Xt([e[o],e[n]]),er)),a=Ue(s),i=X0.image.cropAndResize(t,[[s.startPoint[1]/r,s.startPoint[0]/r,s.endPoint[1]/r,s.endPoint[0]/r]],[0],[ge,ge]);if(A&&v.kernels.includes("flipleftright")){let y=X0.image.flipLeftRight(i);X0.dispose(i),i=y}return{box:s,boxSize:a,crop:i}},E3=(e,t,o,n=!1)=>{let r=[];for(let A=0;A<_e.numCoordinates;A++){let s=e[A*3],a=e[A*3+1],i=e[A*3+2];r.push([(n?1-s/ge:s/ge)*o[0]+t.startPoint[0],a/ge*o[1]+t.startPoint[1],i])}return{rawCoords:r,iris:r.slice(_e.index)}},z3=(e,t,o)=>{let n=e[D0[`${o}EyeUpper0`][_e.upperCenter]][2],r=e[D0[`${o}EyeLower0`][_e.lowerCenter]][2],A=(n+r)/2;return t.map((s,a)=>{let i=A;return a===2?i=n:a===4&&(i=r),[s[0],s[1],i]})};async function C3(e,t,o,n){if(!le)return o.debug&&p("face mesh iris detection requested, but model is not loaded"),e;let{box:r,boxSize:A,crop:s}=k3(e,t,Qe.leftBounds[0],Qe.leftBounds[1],n,!0),{box:a,boxSize:i,crop:y}=k3(e,t,Qe.rightBounds[0],Qe.rightBounds[1],n,!0),c=X0.concat([s,y]);X0.dispose(s),X0.dispose(y);let l=le.execute(c);X0.dispose(c);let x=await l.data();X0.dispose(l);let f=x.slice(0,_e.numCoordinates*3),{rawCoords:u,iris:m}=E3(f,r,A,!0),M=x.slice(_e.numCoordinates*3),{rawCoords:g,iris:b}=E3(M,a,i,!1),d=tr(e);Math.abs(d)<30?(t5(e,u,"left",null),t5(e,g,"right",null)):d<1?t5(e,u,"left",["EyeUpper0","EyeLower0"]):t5(e,g,"right",["EyeUpper0","EyeLower0"]);let P=z3(e,m,"left"),S=z3(e,b,"right");return e.concat(P).concat(S)}var or=[[61,146],[146,91],[91,181],[181,84],[84,17],[17,314],[314,405],[405,321],[321,375],[375,291],[61,185],[185,40],[40,39],[39,37],[37,0],[0,267],[267,269],[269,270],[270,409],[409,291],[78,95],[95,88],[88,178],[178,87],[87,14],[14,317],[317,402],[402,318],[318,324],[324,308],[78,191],[191,80],[80,81],[81,82],[82,13],[13,312],[312,311],[311,310],[310,415],[415,308]],nr=[[263,249],[249,390],[390,373],[373,374],[374,380],[380,381],[381,382],[382,362],[263,466],[466,388],[388,387],[387,386],[386,385],[385,384],[384,398],[398,362]],rr=[[276,283],[283,282],[282,295],[295,285],[300,293],[293,334],[334,296],[296,336]],Ar=[[474,475],[475,476],[476,477],[477,474]],sr=[[33,7],[7,163],[163,144],[144,145],[145,153],[153,154],[154,155],[155,133],[33,246],[246,161],[161,160],[160,159],[159,158],[158,157],[157,173],[173,133]],ar=[[46,53],[53,52],[52,65],[65,55],[70,63],[63,105],[105,66],[66,107]],ir=[[469,470],[470,471],[471,472],[472,469]],lr=[[10,338],[338,297],[297,332],[332,284],[284,251],[251,389],[389,356],[356,454],[454,323],[323,361],[361,288],[288,397],[397,365],[365,379],[379,378],[378,400],[400,377],[377,152],[152,148],[148,176],[176,149],[149,150],[150,136],[136,172],[172,58],[58,132],[132,93],[93,234],[234,127],[127,162],[162,21],[21,54],[54,103],[103,67],[67,109],[109,10]];function Pe(e){let t=e.map(o=>o[0]);return t.push(e[e.length-1][1]),t}var yr={lips:Pe(or),leftEye:Pe(nr),leftEyebrow:Pe(rr),leftIris:Pe(Ar),rightEye:Pe(sr),rightEyebrow:Pe(ar),rightIris:Pe(ir),faceOval:Pe(lr)},xr=Object.entries(yr).map(([e,t])=>t.map(o=>[o,e])).flat(),P7=new Map(xr),v2=[61,146,91,181,84,17,314,405,321,375,291,185,40,39,37,0,267,269,270,409,78,95,88,178,87,14,317,402,318,324,308,191,80,81,82,13,312,311,310,415,76,77,90,180,85,16,315,404,320,307,306,184,74,73,72,11,302,303,304,408,62,96,89,179,86,15,316,403,319,325,292,183,42,41,38,12,268,271,272,407],Oe=[33,7,163,144,145,153,154,155,133,246,161,160,159,158,157,173,130,25,110,24,23,22,26,112,243,247,30,29,27,28,56,190,226,31,228,229,230,231,232,233,244,113,225,224,223,222,221,189,35,124,46,53,52,65,143,111,117,118,119,120,121,128,245,156,70,63,105,66,107,55,193],Le=[263,249,390,373,374,380,381,382,362,466,388,387,386,385,384,398,359,255,339,254,253,252,256,341,463,467,260,259,257,258,286,414,446,261,448,449,450,451,452,453,464,342,445,444,443,442,441,413,265,353,276,283,282,295,372,340,346,347,348,349,350,357,465,383,300,293,334,296,336,285,417];async function N3(e,t){let o={lips:await t.filter(A=>A.size===160)[0].data(),irisL:await t.filter(A=>A.size===10)[0].data(),eyeL:await t.filter(A=>A.size===142)[0].data(),irisR:await t.filter(A=>A.size===10)[1].data(),eyeR:await t.filter(A=>A.size===142)[1].data()},n=Oe.reduce((A,s)=>A+=e[s][2],0)/Oe.length;for(let A=0;AA+=e[s][2],0)/Le.length;for(let A=0;Ah()-$0.timestamp,n=$0.skipped<(((i=t.face.detector)==null?void 0:i.skipFrames)||0);!t.skipAllowed||!o||!n||$0.boxes.length===0?($0.boxes=await e3(e,t),$0.timestamp=h(),$0.skipped=0):$0.skipped++;let r=[],A=[],s=0;for(let b=0;b<$0.boxes.length;b++){let d=$0.boxes[b],P=0,S,w={id:s++,mesh:[],meshRaw:[],box:[0,0,0,0],boxRaw:[0,0,0,0],score:0,boxScore:0,faceScore:0,annotations:{}};if([P,S,w.tensor]=Kt((y=t.face.detector)==null?void 0:y.rotation,d,e,(c=t.face.mesh)!=null&&c.enabled?We:Ye()),(l=t==null?void 0:t.filter)!=null&&l.equalization){let j=await N2(w.tensor);$e.dispose(w.tensor),w.tensor=j}if(w.boxScore=Math.round(100*d.confidence)/100,(x=t.face.mesh)!=null&&x.enabled)if(!b0)t.debug&&p("face mesh detection requested, but model is not loaded");else{let j=b0.execute(w.tensor),C=j.find(V=>V.shape[V.shape.length-1]===1),F=j.find(V=>V.shape[V.shape.length-1]===1404),Q=await C.data();w.faceScore=Math.round(100*Q[0])/100;let U=$e.reshape(F,[-1,3]),K=await U.array();if(w.faceScore<(((f=t.face.detector)==null?void 0:f.minConfidence)||1)){if(d.confidence=w.faceScore,(u=t.face.mesh)!=null&&u.keepInvalid){w.box=Z2(d,e),w.boxRaw=X2(d,e),w.score=w.boxScore,w.mesh=d.landmarks.map(V=>[(d.startPoint[0]+d.endPoint[0])/2+(d.endPoint[0]+d.startPoint[0])*V[0]/Ye(),(d.startPoint[1]+d.endPoint[1])/2+(d.endPoint[1]+d.startPoint[1])*V[1]/Ye()]),w.meshRaw=w.mesh.map(V=>[V[0]/(e.shape[2]||0),V[1]/(e.shape[1]||0),(V[2]||0)/We]);for(let V of Object.keys(Ce))w.annotations[V]=[w.mesh[Ce[V]]]}}else{(m=t.face.attention)!=null&&m.enabled?K=await N3(K,j):(M=t.face.iris)!=null&&M.enabled&&(K=await C3(K,w.tensor,t,We)),w.mesh=Yt(K,d,P,S,We),w.meshRaw=w.mesh.map(E=>[E[0]/(e.shape[2]||0),E[1]/(e.shape[1]||0),(E[2]||0)/We]);for(let E of Object.keys(D0))w.annotations[E]=D0[E].map(W0=>w.mesh[W0]);w.score=w.faceScore;let V={...Jt(w.mesh,d),confidence:d.confidence,landmarks:d.landmarks};w.box=Z2(V,e),w.boxRaw=X2(V,e),A.push(V)}$e.dispose([...j,U])}else{w.box=Z2(d,e),w.boxRaw=X2(d,e),w.score=w.boxScore,w.mesh=d.landmarks.map(j=>[(d.startPoint[0]+d.endPoint[0])/2+(d.endPoint[0]+d.startPoint[0])*j[0]/Ye(),(d.startPoint[1]+d.endPoint[1])/2+(d.endPoint[1]+d.startPoint[1])*j[1]/Ye()]),w.meshRaw=w.mesh.map(j=>[j[0]/(e.shape[2]||0),j[1]/(e.shape[1]||0),(j[2]||0)/We]);for(let j of Object.keys(Ce))w.annotations[j]=[w.mesh[Ce[j]]]}w.score>(((g=t.face.detector)==null?void 0:g.minConfidence)||1)?r.push(w):$e.dispose(w.tensor)}return $0.boxes=A,r}async function L3(e){var t,o,n,r,A,s;return v.initial&&(b0=null),((o=(t=e==null?void 0:e.face)==null?void 0:t.attention)==null?void 0:o.enabled)&&(b0==null?void 0:b0.signature)&&Object.keys(((n=b0==null?void 0:b0.signature)==null?void 0:n.outputs)||{}).length<6&&(b0=null),b0?e.debug&&p("cached model:",b0.modelUrl):(r=e.face.attention)!=null&&r.enabled?b0=await G((A=e.face.attention)==null?void 0:A.modelPath):b0=await G((s=e.face.mesh)==null?void 0:s.modelPath),We=b0.inputs[0].shape?b0.inputs[0].shape[2]:0,b0}var W3=je,F3=P2;var q0=D(H());var I0,o5=[],G3=0,B3=0,f1=Number.MAX_SAFE_INTEGER;async function H3(e){var t;return v.initial&&(I0=null),I0?e.debug&&p("cached model:",I0.modelUrl):I0=await G((t=e.face.description)==null?void 0:t.modelPath),I0}function m1(e){let t=e.image||e.tensor||e;if(!(I0!=null&&I0.inputs[0].shape))return t;let o=q0.image.resizeBilinear(t,[I0.inputs[0].shape[2],I0.inputs[0].shape[1]],!1),n=q0.mul(o,B.tf255);return q0.dispose(o),n}async function p1(e,t,o,n){var s,a,i,y;if(!I0)return{age:0,gender:"unknown",genderScore:0,descriptor:[]};let r=f1<(((s=t.face.description)==null?void 0:s.skipFrames)||0),A=(((a=t.face.description)==null?void 0:a.skipTime)||0)>h()-G3;return t.skipAllowed&&r&&A&&B3===n&&((i=o5[o])==null?void 0:i.age)&&((y=o5[o])==null?void 0:y.age)>0?(f1++,o5[o]):(f1=0,new Promise(async c=>{var x,f;let l={age:0,gender:"unknown",genderScore:0,descriptor:[]};if((x=t.face.description)!=null&&x.enabled){let u=m1(e),m=I0==null?void 0:I0.execute(u);G3=h(),q0.dispose(u);let g=await(await m.find(F=>F.shape[1]===1)).data(),b=Math.trunc(200*Math.abs(g[0]-.5))/100;b>(((f=t.face.description)==null?void 0:f.minConfidence)||0)&&(l.gender=g[0]<=.5?"female":"male",l.genderScore=Math.min(.99,b));let d=q0.argMax(m.find(F=>F.shape[1]===100),1),P=(await d.data())[0];q0.dispose(d);let w=await m.find(F=>F.shape[1]===100).data();l.age=Math.round(w[P-1]>w[P+1]?10*P-100*w[P-1]:10*P+100*w[P+1])/10;let j=m.find(F=>F.shape[1]===1024),C=j?await j.data():[];l.descriptor=Array.from(C),m.forEach(F=>q0.dispose(F))}o5[o]=l,B3=n,c(l)}))}var W=D(H());var Z3=D(H());function n5(e){return[Math.abs(e.endPoint[0]-e.startPoint[0]),Math.abs(e.endPoint[1]-e.startPoint[1])]}function 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a=o[r].box?[Math.trunc(Math.max(0,o[r].box.topLeft[0])),Math.trunc(Math.max(0,o[r].box.topLeft[1])),Math.trunc(Math.min(e.shape[2]||0,o[r].box.bottomRight[0])-Math.max(0,o[r].box.topLeft[0])),Math.trunc(Math.min(e.shape[1]||0,o[r].box.bottomRight[1])-Math.max(0,o[r].box.topLeft[1]))]:[0,0,0,0],i=[o[r].box.topLeft[0]/(e.shape[2]||0),o[r].box.topLeft[1]/(e.shape[1]||0),(o[r].box.bottomRight[0]-o[r].box.topLeft[0])/(e.shape[2]||0),(o[r].box.bottomRight[1]-o[r].box.topLeft[1])/(e.shape[1]||0)];let y=i5(s);n.push({id:r,score:Math.round(100*o[r].confidence)/100,boxScore:Math.round(100*o[r].boxConfidence)/100,fingerScore:Math.round(100*o[r].fingerConfidence)/100,label:"hand",box:a,boxRaw:i,keypoints:s,annotations:A,landmarks:y})}return n}async function R1(e){var o,n;v.initial&&(n2=null,r2=null),!n2||!r2?[n2,r2]=await Promise.all([e.hand.enabled?G((o=e.hand.detector)==null?void 0:o.modelPath):null,e.hand.landmarks?G((n=e.hand.skeleton)==null?void 0:n.modelPath):null]):(e.debug&&p("cached model:",n2.modelUrl),e.debug&&p("cached model:",r2.modelUrl));let t=new s5(n2);return lo=new a5(t,r2),[n2,r2]}var J=D(H());var c0=[null,null],Er=["StatefulPartitionedCall/Postprocessor/Slice","StatefulPartitionedCall/Postprocessor/ExpandDims_1"],Ee=[[0,0],[0,0]],zr=["hand","fist","pinch","point","face","tip","pinchtip"],xo=4,co=1.6,Sr=512,Cr=1.4,l5=Number.MAX_SAFE_INTEGER,v1=0,ce=[0,0],A0={boxes:[],hands:[]},fo={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],base:[0],palm:[0,17,13,9,5,1,0]};async function mo(e){var t;if(v.initial&&(c0[0]=null),c0[0])e.debug&&p("cached model:",c0[0].modelUrl);else{y5(["tensorlistreserve","enter","tensorlistfromtensor","merge","loopcond","switch","exit","tensorliststack","nextiteration","tensorlistsetitem","tensorlistgetitem","reciprocal","shape","split","where"],e),c0[0]=await G((t=e.hand.detector)==null?void 0:t.modelPath);let o=Object.values(c0[0].modelSignature.inputs);Ee[0][0]=Array.isArray(o)?parseInt(o[0].tensorShape.dim[1].size):0,Ee[0][1]=Array.isArray(o)?parseInt(o[0].tensorShape.dim[2].size):0}return c0[0]}async function po(e){var t;if(v.initial&&(c0[1]=null),c0[1])e.debug&&p("cached model:",c0[1].modelUrl);else{c0[1]=await G((t=e.hand.skeleton)==null?void 0:t.modelPath);let o=Object.values(c0[1].modelSignature.inputs);Ee[1][0]=Array.isArray(o)?parseInt(o[0].tensorShape.dim[1].size):0,Ee[1][1]=Array.isArray(o)?parseInt(o[0].tensorShape.dim[2].size):0}return c0[1]}async function jr(e,t){let o=[];if(!e||!c0[0])return o;let n={},r=(e.shape[2]||1)/(e.shape[1]||1),A=Math.min(Math.round((e.shape[1]||0)/8)*8,Sr),s=Math.round(A*r/8)*8;n.resize=J.image.resizeBilinear(e,[A,s]),n.cast=J.cast(n.resize,"int32"),[n.rawScores,n.rawBoxes]=await c0[0].executeAsync(n.cast,Er),n.boxes=J.squeeze(n.rawBoxes,[0,2]),n.scores=J.squeeze(n.rawScores,[0]);let a=J.unstack(n.scores,1);J.dispose(a[xo]),a.splice(xo,1),n.filtered=J.stack(a,1),J.dispose(a),n.max=J.max(n.filtered,1),n.argmax=J.argMax(n.filtered,1);let i=0;n.nms=await J.image.nonMaxSuppressionAsync(n.boxes,n.max,(t.hand.maxDetected||0)+1,t.hand.iouThreshold||0,t.hand.minConfidence||1);let y=await n.nms.data(),c=await n.max.data(),l=await n.argmax.data();for(let x of Array.from(y)){let f=J.slice(n.boxes,x,1),u=await f.data();J.dispose(f);let m=[u[1],u[0],u[3]-u[1],u[2]-u[0]],M=J2(m,Cr),g=[Math.trunc(m[0]*ce[0]),Math.trunc(m[1]*ce[1]),Math.trunc(m[2]*ce[0]),Math.trunc(m[3]*ce[1])],b=c[x],d=zr[l[x]],P={id:i++,score:b,box:g,boxRaw:M,label:d};o.push(P)}return Object.keys(n).forEach(x=>J.dispose(n[x])),o.sort((x,f)=>f.score-x.score),o.length>(t.hand.maxDetected||1)&&(o.length=t.hand.maxDetected||1),o}async function T1(e,t,o){let n={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&&c0[1]&&o.hand.landmarks&&t.score>(o.hand.minConfidence||0)){let r={},A=[t.boxRaw[1],t.boxRaw[0],t.boxRaw[3]+t.boxRaw[1],t.boxRaw[2]+t.boxRaw[0]];r.crop=J.image.cropAndResize(e,[A],[0],[Ee[1][0],Ee[1][1]],"bilinear"),r.div=J.div(r.crop,B.tf255),[r.score,r.keypoints]=c0[1].execute(r.div,["Identity_1","Identity"]);let s=(await r.score.data())[0],a=(100-Math.trunc(100/(1+Math.exp(s))))/100;if(a>=(o.hand.minConfidence||0)){n.fingerScore=a,r.reshaped=J.reshape(r.keypoints,[-1,3]);let c=(await r.reshaped.array()).map(l=>[l[0]/Ee[1][1],l[1]/Ee[1][0],l[2]||0]).map(l=>[l[0]*t.boxRaw[2],l[1]*t.boxRaw[3],l[2]||0]);n.keypoints=c.map(l=>[ce[0]*(l[0]+t.boxRaw[0]),ce[1]*(l[1]+t.boxRaw[1]),l[2]||0]),n.landmarks=i5(n.keypoints);for(let l of Object.keys(fo))n.annotations[l]=fo[l].map(x=>n.landmarks&&n.keypoints[x]?n.keypoints[x]:null)}Object.keys(r).forEach(i=>J.dispose(r[i]))}return n}async function w1(e,t){var r,A;if(!c0[0]||!c0[1]||!((r=c0[0])!=null&&r.inputs[0].shape)||!((A=c0[1])!=null&&A.inputs[0].shape))return[];ce=[e.shape[2]||0,e.shape[1]||0],l5++;let o=(t.hand.skipTime||0)>h()-v1,n=l5<(t.hand.skipFrames||0);return t.skipAllowed&&o&&n?A0.hands:new Promise(async s=>{let a=3*(t.hand.skipTime||0)>h()-v1,i=l5<3*(t.hand.skipFrames||0);t.skipAllowed&&A0.hands.length===t.hand.maxDetected?A0.hands=await Promise.all(A0.boxes.map(c=>T1(e,c,t))):t.skipAllowed&&a&&i&&A0.hands.length>0?A0.hands=await Promise.all(A0.boxes.map(c=>T1(e,c,t))):(A0.boxes=await jr(e,t),v1=h(),A0.hands=await Promise.all(A0.boxes.map(c=>T1(e,c,t))),l5=0);let y=[...A0.boxes];if(A0.boxes.length=0,t.cacheSensitivity>0)for(let c=0;c.05&&l.box[3]/(e.shape[1]||1)>.05&&A0.hands[c].fingerScore&&A0.hands[c].fingerScore>(t.hand.minConfidence||0)){let x=J2(l.box,co),f=J2(l.boxRaw,co);A0.boxes.push({...y[c],box:x,boxRaw:f})}}for(let c=0;ch()-bo,A=k1<(((a=t.face.liveness)==null?void 0:a.skipFrames)||0);return t.skipAllowed&&r&&A&&ho===n&&x5[o]?(k1++,x5[o]):(k1=0,new Promise(async i=>{let y=c5.image.resizeBilinear(e,[g0!=null&&g0.inputs[0].shape?g0.inputs[0].shape[2]:0,g0!=null&&g0.inputs[0].shape?g0.inputs[0].shape[1]:0],!1),c=g0==null?void 0:g0.execute(y),l=(await c.data())[0];x5[o]=Math.round(100*l)/100,ho=n,bo=h(),c5.dispose([y,c]),i(x5[o])}))}var wo=D(H());var w2={};Se(w2,{connected:()=>f5,horizontal:()=>z1,kpt:()=>d5,relative:()=>C1,vertical:()=>S1});var d5=["nose","leftEye","rightEye","leftEar","rightEar","leftShoulder","rightShoulder","leftElbow","rightElbow","leftWrist","rightWrist","leftHip","rightHip","leftKnee","rightKnee","leftAnkle","rightAnkle"],z1=[["leftEye","rightEye"],["leftEar","rightEar"],["leftShoulder","rightShoulder"],["leftElbow","rightElbow"],["leftWrist","rightWrist"],["leftHip","rightHip"],["leftKnee","rightKnee"],["leftAnkle","rightAnkle"]],S1=[["leftKnee","leftShoulder"],["rightKnee","rightShoulder"],["leftAnkle","leftKnee"],["rightAnkle","rightKnee"]],C1=[[["leftHip","rightHip"],["leftShoulder","rightShoulder"]],[["leftElbow","rightElbow"],["leftShoulder","rightShoulder"]]],f5={leftLeg:["leftHip","leftKnee","leftAnkle"],rightLeg:["rightHip","rightKnee","rightAnkle"],torso:["leftShoulder","rightShoulder","rightHip","leftHip","leftShoulder"],leftArm:["leftShoulder","leftElbow","leftWrist"],rightArm:["rightShoulder","rightElbow","rightWrist"],head:[]};var ze=D(H()),Mo=.005,O0={keypoints:[],padding:[[0,0],[0,0],[0,0],[0,0]]};function j1(e){for(let t of z1){let o=e.keypoints.findIndex(r=>r.part===t[0]),n=e.keypoints.findIndex(r=>r.part===t[1]);if(e.keypoints[o]&&e.keypoints[n]&&e.keypoints[o].position[0]r&&r.part===t[0]),n=e.keypoints.findIndex(r=>r&&r.part===t[1]);e.keypoints[o]&&e.keypoints[n]&&e.keypoints[o].position[1]y&&y.part===t[0]),r=e.keypoints.findIndex(y=>y&&y.part===t[1]),A=e.keypoints.findIndex(y=>y&&y.part===o[0]),s=e.keypoints.findIndex(y=>y&&y.part===o[1]);if(!e.keypoints[A]||!e.keypoints[s])continue;let a=e.keypoints[n]?[Math.abs(e.keypoints[A].position[0]-e.keypoints[n].position[0]),Math.abs(e.keypoints[s].position[0]-e.keypoints[n].position[0])]:[0,0],i=e.keypoints[r]?[Math.abs(e.keypoints[s].position[0]-e.keypoints[r].position[0]),Math.abs(e.keypoints[A].position[0]-e.keypoints[r].position[0])]:[0,0];if(a[0]>a[1]||i[0]>i[1]){let y=e.keypoints[n];e.keypoints[n]=e.keypoints[r],e.keypoints[r]=y}}}function Ro(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]],o.pad=ze.pad(e,O0.padding),o.resize=ze.image.resizeBilinear(o.pad,[t,t]);let n=ze.cast(o.resize,"int32");return Object.keys(o).forEach(r=>ze.dispose(o[r])),n}function To(e,t){e.keypoints=e.keypoints.filter(n=>n&&n.position);for(let n of e.keypoints)n.position=[n.position[0]*(t[0]+O0.padding[2][0]+O0.padding[2][1])/t[0]-O0.padding[2][0],n.position[1]*(t[1]+O0.padding[1][0]+O0.padding[1][1])/t[1]-O0.padding[1][0]],n.positionRaw=[n.position[0]/t[0],n.position[1]/t[1]];let o=ae(e.keypoints.map(n=>n.position),t);return e.box=o.box,e.boxRaw=o.boxRaw,e}var L0,m5=0,I1=Number.MAX_SAFE_INTEGER,He={boxes:[],bodies:[],last:0};async function ko(e){return v.initial&&(L0=null),L0?e.debug&&p("cached model:",L0.modelUrl):(y5(["size"],e),L0=await G(e.body.modelPath)),m5=L0.inputs[0].shape?L0.inputs[0].shape[2]:0,m5<64&&(m5=256),L0}async function Nr(e,t,o){let n=e[0][0],r=[],A=0;for(let c=0;ct.body.minConfidence){let l=[n[c][1],n[c][0]];r.push({score:Math.round(100*A)/100,part:d5[c],positionRaw:l,position:[Math.round((o.shape[2]||0)*l[0]),Math.round((o.shape[1]||0)*l[1])]})}A=r.reduce((c,l)=>l.score>c?l.score:c,0);let s=[],a=ae(r.map(c=>c.position),[o.shape[2],o.shape[1]]),i={};for(let[c,l]of Object.entries(f5)){let x=[];for(let f=0;fM.part===l[f]),m=r.find(M=>M.part===l[f+1]);u&&m&&u.score>(t.body.minConfidence||0)&&m.score>(t.body.minConfidence||0)&&x.push([u.position,m.position])}i[c]=x}let y={id:0,score:A,box:a.box,boxRaw:a.boxRaw,keypoints:r,annotations:i};return j1(y),s.push(y),s}async function Or(e,t,o){let n=[];for(let r=0;rt.body.minConfidence){let a=[];for(let l=0;l<17;l++){let x=A[3*l+2];if(x>t.body.minConfidence){let f=[A[3*l+1],A[3*l+0]];a.push({part:d5[l],score:Math.round(100*x)/100,positionRaw:f,position:[Math.round((o.shape[2]||0)*f[0]),Math.round((o.shape[1]||0)*f[1])]})}}let i=ae(a.map(l=>l.position),[o.shape[2],o.shape[1]]),y={};for(let[l,x]of Object.entries(f5)){let f=[];for(let u=0;ug.part===x[u]),M=a.find(g=>g.part===x[u+1]);m&&M&&m.score>(t.body.minConfidence||0)&&M.score>(t.body.minConfidence||0)&&f.push([m.position,M.position])}y[l]=f}let c={id:r,score:s,box:i.box,boxRaw:i.boxRaw,keypoints:[...a],annotations:y};j1(c),n.push(c)}}return n.sort((r,A)=>A.score-r.score),n.length>t.body.maxDetected&&(n.length=t.body.maxDetected),n}async function N1(e,t){if(!L0||!(L0!=null&&L0.inputs[0].shape))return[];t.skipAllowed||(He.boxes.length=0),I1++;let o=(t.body.skipTime||0)>h()-He.last,n=I1<(t.body.skipFrames||0);return t.skipAllowed&&o&&n?He.bodies:new Promise(async r=>{let A={};I1=0,A.input=vo(e,m5),A.res=L0==null?void 0:L0.execute(A.input),He.last=h();let s=await A.res.array();He.bodies=A.res.shape[2]===17?await Nr(s,t,e):await Or(s,t,e);for(let a of He.bodies)To(a,[e.shape[2]||1,e.shape[1]||1]),Ro(a.keypoints);Object.keys(A).forEach(a=>wo.dispose(A[a])),r(He.bodies)})}var w0=D(H());var A2,p5=[],zo=0,O1=Number.MAX_SAFE_INTEGER,h5=0,u5=2.5;async function So(e){if(!A2||v.initial){A2=await G(e.object.modelPath);let t=Object.values(A2.modelSignature.inputs);h5=Array.isArray(t)?parseInt(t[0].tensorShape.dim[2].size):0}else e.debug&&p("cached model:",A2.modelUrl);return A2}async function Lr(e,t,o){let n=0,r=[];for(let i of[1,2,4])w0.tidy(async()=>{let y=i*13,c=w0.squeeze(e.find(m=>m.shape[1]===y**2&&(m.shape[2]||0)===Je.length)),l=w0.squeeze(e.find(m=>m.shape[1]===y**2&&(m.shape[2]||0)(o.object.minConfidence||0)&&M!==61){let b=(.5+Math.trunc(m%y))/y,d=(.5+Math.trunc(m/y))/y,P=f[m].map(K=>K*(y/i/h5)),[S,w]=[b-u5/i*P[0],d-u5/i*P[1]],[j,C]=[b+u5/i*P[2]-S,d+u5/i*P[3]-w],F=[S,w,j,C];F=F.map(K=>Math.max(0,Math.min(K,1)));let Q=[F[0]*t[0],F[1]*t[1],F[2]*t[0],F[3]*t[1]],U={id:n++,score:Math.round(100*g)/100,class:M+1,label:Je[M].label,box:Q.map(K=>Math.trunc(K)),boxRaw:F};r.push(U)}}});e.forEach(i=>w0.dispose(i));let A=r.map(i=>[i.boxRaw[1],i.boxRaw[0],i.boxRaw[3],i.boxRaw[2]]),s=r.map(i=>i.score),a=[];if(A&&A.length>0){let i=await w0.image.nonMaxSuppressionAsync(A,s,o.object.maxDetected,o.object.iouThreshold,o.object.minConfidence);a=await i.data(),w0.dispose(i)}return r=r.filter((i,y)=>a.includes(y)).sort((i,y)=>y.score-i.score),r}async function L1(e,t){let o=(t.object.skipTime||0)>h()-zo,n=O1<(t.object.skipFrames||0);return t.skipAllowed&&o&&n&&p5.length>0?(O1++,p5):(O1=0,!v.kernels.includes("mod")||!v.kernels.includes("sparsetodense")?p5:new Promise(async r=>{let A=[e.shape[2]||0,e.shape[1]||0],s=w0.image.resizeBilinear(e,[h5,h5],!1),a=w0.div(s,B.tf255),i=a.transpose([0,3,1,2]);w0.dispose(a),w0.dispose(s);let y;t.object.enabled&&(y=A2.execute(i)),zo=h(),w0.dispose(i);let c=await Lr(y,A,t);p5=c,r(c)}))}var k0=D(H());var E2=["nose","leftEye","rightEye","leftEar","rightEar","leftShoulder","rightShoulder","leftElbow","rightElbow","leftWrist","rightWrist","leftHip","rightHip","leftKnee","rightKnee","leftAnkle","rightAnkle"],Wr=E2.length,k2=E2.reduce((e,t,o)=>(e[t]=o,e),{}),Fr=[["leftHip","leftShoulder"],["leftElbow","leftShoulder"],["leftElbow","leftWrist"],["leftHip","leftKnee"],["leftKnee","leftAnkle"],["rightHip","rightShoulder"],["rightElbow","rightShoulder"],["rightElbow","rightWrist"],["rightHip","rightKnee"],["rightKnee","rightAnkle"],["leftShoulder","rightShoulder"],["leftHip","rightHip"]],i4=Fr.map(([e,t])=>[k2[e],k2[t]]),jo=[["nose","leftEye"],["leftEye","leftEar"],["nose","rightEye"],["rightEye","rightEar"],["nose","leftShoulder"],["leftShoulder","leftElbow"],["leftElbow","leftWrist"],["leftShoulder","leftHip"],["leftHip","leftKnee"],["leftKnee","leftAnkle"],["nose","rightShoulder"],["rightShoulder","rightElbow"],["rightElbow","rightWrist"],["rightShoulder","rightHip"],["rightHip","rightKnee"],["rightKnee","rightAnkle"]];function Io(e){let t=e.reduce(({maxX:o,maxY:n,minX:r,minY:A},{position:{x:s,y:a}})=>({maxX:Math.max(o,s),maxY:Math.max(n,a),minX:Math.min(r,s),minY:Math.min(A,a)}),{maxX:Number.NEGATIVE_INFINITY,maxY:Number.NEGATIVE_INFINITY,minX:Number.POSITIVE_INFINITY,minY:Number.POSITIVE_INFINITY});return[t.minX,t.minY,t.maxX-t.minX,t.maxY-t.minY]}function No(e,[t,o],[n,r]){let A=t/n,s=o/r,a=(y,c)=>({id:c,score:y.score,boxRaw:[y.box[0]/r,y.box[1]/n,y.box[2]/r,y.box[3]/n],box:[Math.trunc(y.box[0]*s),Math.trunc(y.box[1]*A),Math.trunc(y.box[2]*s),Math.trunc(y.box[3]*A)],keypoints:y.keypoints.map(({score:l,part:x,position:f})=>({score:l,part:x,position:[Math.trunc(f.x*s),Math.trunc(f.y*A)],positionRaw:[f.x/n,f.y/n]})),annotations:{}});return e.map((y,c)=>a(y,c))}var b5=class{constructor(t,o){T(this,"priorityQueue");T(this,"numberOfElements");T(this,"getElementValue");this.priorityQueue=new 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Ue=e=>[Math.abs(e.endPoint[0]-e.startPoint[0]),Math.abs(e.endPoint[1]-e.startPoint[1])],D2=e=>[e.startPoint[0]+(e.endPoint[0]-e.startPoint[0])/2,e.startPoint[1]+(e.endPoint[1]-e.startPoint[1])/2,1],Z2=(e,t)=>e?[Math.trunc(Math.max(0,e.startPoint[0])),Math.trunc(Math.max(0,e.startPoint[1])),Math.trunc(Math.min(t.shape[2]||0,e.endPoint[0])-Math.max(0,e.startPoint[0])),Math.trunc(Math.min(t.shape[1]||0,e.endPoint[1])-Math.max(0,e.startPoint[1]))]:[0,0,0,0],X2=(e,t)=>e?[e.startPoint[0]/(t.shape[2]||0),e.startPoint[1]/(t.shape[1]||0),(e.endPoint[0]-e.startPoint[0])/(t.shape[2]||0),(e.endPoint[1]-e.startPoint[1])/(t.shape[1]||0)]:[0,0,0,0],Zt=(e,t)=>{let o=[e.startPoint[0]*t[0],e.startPoint[1]*t[1]],n=[e.endPoint[0]*t[0],e.endPoint[1]*t[1]];return{startPoint:o,endPoint:n,landmarks:e.landmarks,confidence:e.confidence}},U5=(e,t,o)=>{let n=t.shape[1],r=t.shape[2],A=[e.startPoint[1]/n,e.startPoint[0]/r,e.endPoint[1]/n,e.endPoint[0]/r],s=se.image.cropAndResize(t,[A],[0],o),a=se.div(s,B.tf255);return se.dispose(s),a},q2=(e,t)=>{let o=D2(e),n=Ue(e),r=[t*n[0]/2,t*n[1]/2];return{startPoint:[o[0]-r[0],o[1]-r[1]],endPoint:[o[0]+r[0],o[1]+r[1]],landmarks:e.landmarks,confidence:e.confidence}},U2=e=>{let t=D2(e),o=Ue(e),n=Math.max(...o)/2;return{startPoint:[Math.round(t[0]-n),Math.round(t[1]-n)],endPoint:[Math.round(t[0]+n),Math.round(t[1]+n)],landmarks:e.landmarks,confidence:e.confidence}},Xt=e=>{let t=e.map(n=>n[0]),o=e.map(n=>n[1]);return{startPoint:[Math.min(...t),Math.min(...o)],endPoint:[Math.max(...t),Math.max(...o)],landmarks:e}},Y5=[[1,0,0],[0,1,0],[0,0,1]],On=e=>e-2*Math.PI*Math.floor((e+Math.PI)/(2*Math.PI)),Ln=(e,t)=>On(Math.PI/2-Math.atan2(-(t[1]-e[1]),t[0]-e[0]));var Vt=(e,t)=>[[1,0,e],[0,1,t],[0,0,1]],Ie=(e,t)=>{let o=0;for(let n=0;n{let o=[];for(let n=0;n{let o=[],n=e.length;for(let r=0;r{let 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y=D2(t),c=[y[0]/o.shape[2],y[1]/o.shape[1]],l=se.image.rotateWithOffset(o,A,0,c);s=qt(-A,y),a=U5(t,l,[n,n]),se.dispose(l)}else a=U5(t,o,[n,n]);else a=U5(t,o,[n,n]);return[A,s,a]}var Bn=e=>{let t=e.map(n=>n[0]),o=e.map(n=>n[1]);return[Math.min(...t)+(Math.max(...t)-Math.min(...t))/2,Math.min(...o)+(Math.max(...o)-Math.min(...o))/2]},Jt=(e,t)=>{let o=Bn(e),n=Ue(t);return{startPoint:[o[0]-n[0]/2,o[1]-n[1]/2],endPoint:[o[0]+n[0]/2,o[1]+n[1]/2]}};var Qt=6,Hn=1.4,_0,_t=null,he=0,M2=null,Ye=()=>he;async function $t(e){var t;return v.initial&&(_0=null),_0?e.debug&&p("cached model:",_0.modelUrl):_0=await G((t=e.face.detector)==null?void 0:t.modelPath),he=_0.inputs[0].shape?_0.inputs[0].shape[2]:0,M2=O.scalar(he,"int32"),_t=O.tensor2d(Ut(he)),_0}function Vn(e){let t={};t.boxStarts=O.slice(e,[0,1],[-1,2]),t.centers=O.add(t.boxStarts,_t),t.boxSizes=O.slice(e,[0,3],[-1,2]),t.boxSizesNormalized=O.div(t.boxSizes,M2),t.centersNormalized=O.div(t.centers,M2),t.halfBoxSize=O.div(t.boxSizesNormalized,B.tf2),t.starts=O.sub(t.centersNormalized,t.halfBoxSize),t.ends=O.add(t.centersNormalized,t.halfBoxSize),t.startNormalized=O.mul(t.starts,M2),t.endNormalized=O.mul(t.ends,M2);let o=O.concat2d([t.startNormalized,t.endNormalized],1);return Object.keys(t).forEach(n=>O.dispose(t[n])),o}async function e3(e,t){var a,i,y,c;if(!e||e.isDisposedInternal||e.shape.length!==4||e.shape[1]<1||e.shape[2]<1)return[];let o={};o.resized=O.image.resizeBilinear(e,[he,he]),o.div=O.div(o.resized,B.tf127),o.normalized=O.sub(o.div,B.tf05);let n=_0==null?void 0:_0.execute(o.normalized);if(Array.isArray(n)&&n.length>2){let l=n.sort((x,f)=>x.size-f.size);o.concat384=O.concat([l[0],l[2]],2),o.concat512=O.concat([l[1],l[3]],2),o.concat=O.concat([o.concat512,o.concat384],1),o.batch=O.squeeze(o.concat,0)}else Array.isArray(n)?o.batch=O.squeeze(n[0]):o.batch=O.squeeze(n);O.dispose(n),o.boxes=Vn(o.batch),o.logits=O.slice(o.batch,[0,0],[-1,1]),o.sigmoid=O.sigmoid(o.logits),o.scores=O.squeeze(o.sigmoid),o.nms=await O.image.nonMaxSuppressionAsync(o.boxes,o.scores,((a=t.face.detector)==null?void 0:a.maxDetected)||0,((i=t.face.detector)==null?void 0:i.iouThreshold)||0,((y=t.face.detector)==null?void 0:y.minConfidence)||0);let r=await o.nms.array(),A=[],s=await o.scores.data();for(let l=0;l(((c=t.face.detector)==null?void 0:c.minConfidence)||0)){let f={};f.bbox=O.slice(o.boxes,[r[l],0],[1,-1]),f.slice=O.slice(o.batch,[r[l],Qt-1],[1,-1]),f.squeeze=O.squeeze(f.slice),f.landmarks=O.reshape(f.squeeze,[Qt,-1]);let u=await f.bbox.data(),m={startPoint:[u[0],u[1]],endPoint:[u[2],u[3]],landmarks:await f.landmarks.array(),confidence:x},M=Zt(m,[(e.shape[2]||0)/he,(e.shape[1]||0)/he]),g=q2(M,t.face.scale||Hn),b=U2(g);A.push(b),Object.keys(f).forEach(d=>O.dispose(f[d]))}}return Object.keys(o).forEach(l=>O.dispose(o[l])),A}var C0=D(H());var Y2={};Se(Y2,{connected:()=>Q5,kpt:()=>J5});var J5=["nose","leftEyeInside","leftEye","leftEyeOutside","rightEyeInside","rightEye","rightEyeOutside","leftEar","rightEar","leftMouth","rightMouth","leftShoulder","rightShoulder","leftElbow","rightElbow","leftWrist","rightWrist","leftPinky","rightPinky","leftIndex","rightIndex","leftThumb","rightThumb","leftHip","rightHip","leftKnee","rightKnee","leftAnkle","rightAnkle","leftHeel","rightHeel","leftFoot","rightFoot","bodyCenter","bodyTop","leftPalm","leftHand","rightPalm","rightHand"],Q5={shoulders:["leftShoulder","rightShoulder"],hips:["rightHip","leftHip"],mouth:["leftMouth","rightMouth"],leftLegUpper:["leftHip","leftKnee"],leftLegLower:["leftKnee","leftAnkle"],leftFoot:["leftAnkle","leftHeel","leftFoot"],leftTorso:["leftShoulder","leftHip"],leftArmUpper:["leftShoulder","leftElbow"],leftArmLower:["leftElbow","leftWrist"],leftHand:["leftWrist","leftPalm"],leftHandPinky:["leftPalm","leftPinky"],leftHandIndex:["leftPalm","leftIndex"],leftHandThumb:["leftPalm","leftThumb"],leftEyeOutline:["leftEyeInside","leftEyeOutside"],rightLegUpper:["rightHip","rightKnee"],rightLegLower:["rightKnee","rightAnkle"],rightFoot:["rightAnkle","rightHeel","rightFoot"],rightTorso:["rightShoulder","rightHip"],rightArmUpper:["rightShoulder","rightElbow"],rightArmLower:["rightElbow","rightWrist"],rightHand:["rightWrist","rightPalm"],rightHandPinky:["rightPalm","rightPinky"],rightHandIndex:["rightPalm","rightIndex"],rightHandThumb:["rightPalm","rightThumb"],rightEyeOutline:["rightEyeInside","rightEyeOutside"]};var z0=D(H()),o3=224,Dn,Zn=5,K2=[8,16,32,32,32];async function n3(){let e=[],t=0;for(;to.x)),y:z0.tensor1d(e.map(o=>o.y))}}function ae(e,t=[1,1]){let o=[e.map(a=>a[0]),e.map(a=>a[1])],n=[Math.min(...o[0]),Math.min(...o[1])],r=[Math.max(...o[0]),Math.max(...o[1])],A=[n[0],n[1],r[0]-n[0],r[1]-n[1]],s=[A[0]/t[0],A[1]/t[1],A[2]/t[0],A[3]/t[1]];return{box:A,boxRaw:s}}function r3(e,t=[1,1]){let o=[e.map(y=>y[0]),e.map(y=>y[1])],n=[Math.min(...o[0]),Math.min(...o[1])],r=[Math.max(...o[0]),Math.max(...o[1])],A=[(n[0]+r[0])/2,(n[1]+r[1])/2],s=Math.max(A[0]-n[0],A[1]-n[1],-A[0]+r[0],-A[1]+r[1]),a=[Math.trunc(A[0]-s),Math.trunc(A[1]-s),Math.trunc(2*s),Math.trunc(2*s)],i=[a[0]/t[0],a[1]/t[1],a[2]/t[0],a[3]/t[1]];return{box:a,boxRaw:i}}function J2(e,t){let o=[e[2]*t,e[3]*t];return[e[0]-(o[0]-e[2])/2,e[1]-(o[1]-e[3])/2,o[0],o[1]]}var a3={initial:!0},S0={detector:null,landmarks:null},Ke={detector:[224,224],landmarks:[256,256]},_5=Number.MAX_SAFE_INTEGER,qn={landmarks:["ld_3d","activation_segmentation","activation_heatmap","world_3d","output_poseflag"],detector:[]},_2=null,R2,be=[[0,0],[0,0],[0,0],[0,0]],A3=0,s3=e=>1-1/(1+Math.exp(e));async function i3(e){if(a3.initial&&(S0.detector=null),!S0.detector&&e.body.detector&&e.body.detector.modelPath){S0.detector=await G(e.body.detector.modelPath);let t=Object.values(S0.detector.modelSignature.inputs);Ke.detector[0]=Array.isArray(t)?parseInt(t[0].tensorShape.dim[1].size):0,Ke.detector[1]=Array.isArray(t)?parseInt(t[0].tensorShape.dim[2].size):0}else e.debug&&S0.detector&&p("cached model:",S0.detector.modelUrl);return await n3(),S0.detector}async function l3(e){if(a3.initial&&(S0.landmarks=null),S0.landmarks)e.debug&&p("cached model:",S0.landmarks.modelUrl);else{S0.landmarks=await G(e.body.modelPath);let t=Object.values(S0.landmarks.modelSignature.inputs);Ke.landmarks[0]=Array.isArray(t)?parseInt(t[0].tensorShape.dim[1].size):0,Ke.landmarks[1]=Array.isArray(t)?parseInt(t[0].tensorShape.dim[2].size):0}return S0.landmarks}async function Un(e,t){let o={};if(!e.shape||!e.shape[1]||!e.shape[2])return e;let n;if(R2&&(o.cropped=C0.image.cropAndResize(e,[R2],[0],[e.shape[1],e.shape[2]])),e.shape[1]!==e.shape[2]){let r=[e.shape[2]>e.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],A=[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];be=[[0,0],r,A,[0,0]],o.pad=C0.pad(o.cropped||e,be),o.resize=C0.image.resizeBilinear(o.pad,[t,t]),n=C0.div(o.resize,B.tf255)}else e.shape[1]!==t?(o.resize=C0.image.resizeBilinear(o.cropped||e,[t,t]),n=C0.div(o.resize,B.tf255)):n=C0.div(o.cropped||e,B.tf255);return Object.keys(o).forEach(r=>C0.dispose(o[r])),n}function Yn(e,t){for(let o of e)o.position=[Math.trunc(o.position[0]*(t[0]+be[2][0]+be[2][1])/t[0]-be[2][0]),Math.trunc(o.position[1]*(t[1]+be[1][0]+be[1][1])/t[1]-be[1][0]),o.position[2]],o.positionRaw=[o.position[0]/t[0],o.position[1]/t[1],2*o.position[2]/(t[0]+t[1])];if(R2)for(let o of e)o.positionRaw=[o.positionRaw[0]+R2[1],o.positionRaw[1]+R2[0],o.positionRaw[2]],o.position=[Math.trunc(o.positionRaw[0]*t[0]),Math.trunc(o.positionRaw[1]*t[1]),o.positionRaw[2]];return e}async function Kn(e){let t=e.find(a=>a.part==="leftPalm"),o=e.find(a=>a.part==="leftWrist"),n=e.find(a=>a.part==="leftIndex");t.position[2]=((o.position[2]||0)+(n.position[2]||0))/2;let r=e.find(a=>a.part==="rightPalm"),A=e.find(a=>a.part==="rightWrist"),s=e.find(a=>a.part==="rightIndex");r.position[2]=((A.position[2]||0)+(s.position[2]||0))/2}async function Jn(e,t,o){var u;let n={};[n.ld,n.segmentation,n.heatmap,n.world,n.poseflag]=(u=S0.landmarks)==null?void 0:u.execute(e,qn.landmarks);let r=(await n.poseflag.data())[0],A=await n.ld.data(),s=await n.world.data();Object.keys(n).forEach(m=>C0.dispose(n[m]));let a=[],i=5;for(let m=0;mm.position),l=ae(c,[o[0],o[1]]),x={};for(let[m,M]of Object.entries(Q5)){let g=[];for(let b=0;bS.part===M[b]),P=y.find(S=>S.part===M[b+1]);d&&P&&g.push([d.position,P.position])}x[m]=g}return{id:0,score:Math.trunc(100*r)/100,box:l.box,boxRaw:l.boxRaw,keypoints:y,annotations:x}}async function $5(e,t){let o=[e.shape[2]||0,e.shape[1]||0],n=(t.body.skipTime||0)>h()-A3,r=_5<(t.body.skipFrames||0);if(t.skipAllowed&&n&&r&&_2!==null)_5++;else{let A={};A.landmarks=await Un(e,256),_2=await Jn(A.landmarks,t,o),Object.keys(A).forEach(s=>C0.dispose(A[s])),A3=h(),_5=0}return _2?[_2]:[]}var R0=D(H());var Je=[{class:1,label:"person"},{class:2,label:"bicycle"},{class:3,label:"car"},{class:4,label:"motorcycle"},{class:5,label:"airplane"},{class:6,label:"bus"},{class:7,label:"train"},{class:8,label:"truck"},{class:9,label:"boat"},{class:10,label:"traffic 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glass"},{class:42,label:"cup"},{class:43,label:"fork"},{class:44,label:"knife"},{class:45,label:"spoon"},{class:46,label:"bowl"},{class:47,label:"banana"},{class:48,label:"apple"},{class:49,label:"sandwich"},{class:50,label:"orange"},{class:51,label:"broccoli"},{class:52,label:"carrot"},{class:53,label:"hot dog"},{class:54,label:"pizza"},{class:55,label:"donut"},{class:56,label:"cake"},{class:57,label:"chair"},{class:58,label:"couch"},{class:59,label:"potted plant"},{class:60,label:"bed"},{class:61,label:"dining table"},{class:62,label:"toilet"},{class:63,label:"tv"},{class:64,label:"laptop"},{class:65,label:"mouse"},{class:66,label:"remote"},{class:67,label:"keyboard"},{class:68,label:"cell phone"},{class:69,label:"microwave"},{class:70,label:"oven"},{class:71,label:"toaster"},{class:72,label:"sink"},{class:73,label:"refrigerator"},{class:74,label:"book"},{class:75,label:"clock"},{class:76,label:"vase"},{class:77,label:"scissors"},{class:78,label:"teddy bear"},{class:79,label:"hair drier"},{class:80,label:"toothbrush"}];var ie,Ne=0,e1=[],x3=0,t1=Number.MAX_SAFE_INTEGER;async function c3(e){if(v.initial&&(ie=null),ie)e.debug&&p("cached model:",ie.modelUrl);else{ie=await G(e.object.modelPath);let t=Object.values(ie.modelSignature.inputs);Ne=Array.isArray(t)?parseInt(t[0].tensorShape.dim[2].size):0}return ie}async function Qn(e,t,o){if(!e)return[];let n={},r=[],A=await e.array();n.squeeze=R0.squeeze(e);let s=R0.split(n.squeeze,6,1);n.stack=R0.stack([s[1],s[0],s[3],s[2]],1),n.boxes=R0.squeeze(n.stack),n.scores=R0.squeeze(s[4]),n.classes=R0.squeeze(s[5]),R0.dispose([e,...s]),n.nms=await R0.image.nonMaxSuppressionAsync(n.boxes,n.scores,o.object.maxDetected,o.object.iouThreshold,o.object.minConfidence||0);let a=await n.nms.data(),i=0;for(let y of Array.from(a)){let c=Math.trunc(100*A[0][y][4])/100,l=A[0][y][5],x=Je[l].label,[f,u]=[A[0][y][0]/Ne,A[0][y][1]/Ne],m=[f,u,A[0][y][2]/Ne-f,A[0][y][3]/Ne-u],M=[Math.trunc(m[0]*t[0]),Math.trunc(m[1]*t[1]),Math.trunc(m[2]*t[0]),Math.trunc(m[3]*t[1])];r.push({id:i++,score:c,class:l,label:x,box:M,boxRaw:m})}return Object.keys(n).forEach(y=>R0.dispose(n[y])),r}async function o1(e,t){let o=(t.object.skipTime||0)>h()-x3,n=t1<(t.object.skipFrames||0);return t.skipAllowed&&o&&n&&e1.length>0?(t1++,e1):(t1=0,new Promise(async r=>{let A=[e.shape[2]||0,e.shape[1]||0],s=R0.image.resizeBilinear(e,[Ne,Ne]),a=t.object.enabled?ie==null?void 0:ie.execute(s,["tower_0/detections"]):null;x3=h(),R0.dispose(s);let i=await Qn(a,A,t);e1=i,r(i)}))}var _=D(H());var $2={};Se($2,{connected:()=>r1,kpt:()=>n1});var n1=["head","neck","rightShoulder","rightElbow","rightWrist","chest","leftShoulder","leftElbow","leftWrist","bodyCenter","rightHip","rightKnee","rightAnkle","leftHip","leftKnee","leftAnkle"],r1={leftLeg:["leftHip","leftKnee","leftAnkle"],rightLeg:["rightHip","rightKnee","rightAnkle"],torso:["leftShoulder","rightShoulder","rightHip","leftHip","leftShoulder"],leftArm:["leftShoulder","leftElbow","leftWrist"],rightArm:["rightShoulder","rightElbow","rightWrist"],head:[]};var h0,f3=0,v0={id:0,keypoints:[],box:[0,0,0,0],boxRaw:[0,0,0,0],score:0,annotations:{}},A1=Number.MAX_SAFE_INTEGER;async function m3(e){return v.initial&&(h0=null),h0?e.debug&&p("cached model:",h0.modelUrl):h0=await G(e.body.modelPath),h0}async function _n(e,t){let[o,n]=e.shape,r=_.reshape(e,[n*o]),A=_.max(r,0),s=(await A.data())[0];if(_.dispose([r,A]),s>t){let a=_.argMax(r,0),i=_.mod(a,o),y=(await i.data())[0],c=_.div(a,_.scalar(o,"int32")),l=(await c.data())[0];return _.dispose([i,c]),[y,l,s]}return[0,0,s]}async function s1(e,t){let o=(t.body.skipTime||0)>h()-f3,n=A1<(t.body.skipFrames||0);return t.skipAllowed&&o&&n&&Object.keys(v0.keypoints).length>0?(A1++,[v0]):(A1=0,new Promise(async r=>{var l;let A=_.tidy(()=>{if(!(h0!=null&&h0.inputs[0].shape))return null;let x=_.image.resizeBilinear(e,[h0.inputs[0].shape[2],h0.inputs[0].shape[1]],!1),f=_.mul(x,B.tf2);return _.sub(f,B.tf1)}),s;if(t.body.enabled&&(s=h0==null?void 0:h0.execute(A)),f3=h(),_.dispose(A),s){v0.keypoints.length=0;let x=s.squeeze();_.dispose(s);let f=x.unstack(2);_.dispose(x);for(let u=0;u(((l=t.body)==null?void 0:l.minConfidence)||0)&&v0.keypoints.push({score:Math.round(100*g)/100,part:n1[u],positionRaw:[m/h0.inputs[0].shape[2],M/h0.inputs[0].shape[1]],position:[Math.round(e.shape[2]*m/h0.inputs[0].shape[2]),Math.round(e.shape[1]*M/h0.inputs[0].shape[1])]})}f.forEach(u=>_.dispose(u))}v0.score=v0.keypoints.reduce((x,f)=>f.score>x?f.score:x,0);let a=v0.keypoints.map(x=>x.position[0]),i=v0.keypoints.map(x=>x.position[1]);v0.box=[Math.min(...a),Math.min(...i),Math.max(...a)-Math.min(...a),Math.max(...i)-Math.min(...i)];let y=v0.keypoints.map(x=>x.positionRaw[0]),c=v0.keypoints.map(x=>x.positionRaw[1]);v0.boxRaw=[Math.min(...y),Math.min(...c),Math.max(...y)-Math.min(...y),Math.max(...c)-Math.min(...c)];for(let[x,f]of Object.entries(r1)){let u=[];for(let m=0;mb.part===f[m]),g=v0.keypoints.find(b=>b.part===f[m+1]);M&&g&&M.score>(t.body.minConfidence||0)&&g.score>(t.body.minConfidence||0)&&u.push([M.position,g.position])}v0.annotations[x]=u}r([v0])}))}var Z0=D(H());var $n=["angry","disgust","fear","happy","sad","surprise","neutral"],G0,e5=[],u3=0,h3=0,a1=Number.MAX_SAFE_INTEGER;async function b3(e){var t;return v.initial&&(G0=null),G0?e.debug&&p("cached model:",G0.modelUrl):G0=await G((t=e.face.emotion)==null?void 0:t.modelPath),G0}async function i1(e,t,o,n){var s,a;if(!G0)return[];let r=a1<(((s=t.face.emotion)==null?void 0:s.skipFrames)||0),A=(((a=t.face.emotion)==null?void 0:a.skipTime)||0)>h()-h3;return t.skipAllowed&&A&&r&&u3===n&&e5[o]&&e5[o].length>0?(a1++,e5[o]):(a1=0,new Promise(async i=>{var c,l;let y=[];if((c=t.face.emotion)!=null&&c.enabled){let x={},f=G0!=null&&G0.inputs[0].shape?G0.inputs[0].shape[2]:0;x.resize=Z0.image.resizeBilinear(e,[f,f],!1),x.channels=Z0.mul(x.resize,B.rgb),x.grayscale=Z0.sum(x.channels,3,!0),x.grayscaleSub=Z0.sub(x.grayscale,B.tf05),x.grayscaleMul=Z0.mul(x.grayscaleSub,B.tf2),x.emotion=G0==null?void 0:G0.execute(x.grayscaleMul),h3=h();let u=await x.emotion.data();for(let m=0;m(((l=t.face.emotion)==null?void 0:l.minConfidence)||0)&&y.push({score:Math.min(.99,Math.trunc(100*u[m])/100),emotion:$n[m]});y.sort((m,M)=>M.score-m.score),Object.keys(x).forEach(m=>Z0.dispose(x[m]))}e5[o]=y,u3=n,i(y)}))}var v3=D(H());var j0,l1=[],P3=0,M3=0,R3=Number.MAX_SAFE_INTEGER;async function T3(e){return v.initial&&(j0=null),j0?e.debug&&p("cached model:",j0.modelUrl):j0=await G(e.face.mobilefacenet.modelPath),j0}async function y1(e,t,o,n){var s,a;if(!j0)return[];let r=R3<(((s=t.face.embedding)==null?void 0:s.skipFrames)||0),A=(((a=t.face.embedding)==null?void 0:a.skipTime)||0)>h()-M3;return t.skipAllowed&&A&&r&&P3===n&&l1[o]?(R3++,l1[o]):new Promise(async i=>{var c;let y=[];if(((c=t.face.embedding)==null?void 0:c.enabled)&&(j0==null?void 0:j0.inputs[0].shape)){let l={};l.crop=v3.image.resizeBilinear(e,[j0.inputs[0].shape[2],j0.inputs[0].shape[1]],!1),l.data=j0==null?void 0:j0.execute(l.crop);let x=await l.data.data();y=Array.from(x)}l1[o]=y,P3=n,M3=h(),i(y)})}var $e=D(H());var X0=D(H());var le,ge=0,er=2.3,x1=D0.leftEyeLower0,c1=D0.rightEyeLower0,Qe={leftBounds:[x1[0],x1[x1.length-1]],rightBounds:[c1[0],c1[c1.length-1]]},_e={upperCenter:3,lowerCenter:4,index:71,numCoordinates:76};async function S3(e){var t;return v.initial&&(le=null),le?e.debug&&p("cached model:",le.modelUrl):le=await G((t=e.face.iris)==null?void 0:t.modelPath),ge=le.inputs[0].shape?le.inputs[0].shape[2]:0,ge===-1&&(ge=64),le}function t5(e,t,o,n){for(let r=0;r{let t=e[Qe.leftBounds[0]][2],o=e[Qe.rightBounds[0]][2];return t-o},k3=(e,t,o,n,r,A=!1)=>{let s=U2(q2(Xt([e[o],e[n]]),er)),a=Ue(s),i=X0.image.cropAndResize(t,[[s.startPoint[1]/r,s.startPoint[0]/r,s.endPoint[1]/r,s.endPoint[0]/r]],[0],[ge,ge]);if(A&&v.kernels.includes("flipleftright")){let y=X0.image.flipLeftRight(i);X0.dispose(i),i=y}return{box:s,boxSize:a,crop:i}},E3=(e,t,o,n=!1)=>{let r=[];for(let A=0;A<_e.numCoordinates;A++){let s=e[A*3],a=e[A*3+1],i=e[A*3+2];r.push([(n?1-s/ge:s/ge)*o[0]+t.startPoint[0],a/ge*o[1]+t.startPoint[1],i])}return{rawCoords:r,iris:r.slice(_e.index)}},z3=(e,t,o)=>{let n=e[D0[`${o}EyeUpper0`][_e.upperCenter]][2],r=e[D0[`${o}EyeLower0`][_e.lowerCenter]][2],A=(n+r)/2;return t.map((s,a)=>{let i=A;return a===2?i=n:a===4&&(i=r),[s[0],s[1],i]})};async function C3(e,t,o,n){if(!le)return o.debug&&p("face mesh iris detection requested, but model is not loaded"),e;let{box:r,boxSize:A,crop:s}=k3(e,t,Qe.leftBounds[0],Qe.leftBounds[1],n,!0),{box:a,boxSize:i,crop:y}=k3(e,t,Qe.rightBounds[0],Qe.rightBounds[1],n,!0),c=X0.concat([s,y]);X0.dispose(s),X0.dispose(y);let l=le.execute(c);X0.dispose(c);let x=await l.data();X0.dispose(l);let f=x.slice(0,_e.numCoordinates*3),{rawCoords:u,iris:m}=E3(f,r,A,!0),M=x.slice(_e.numCoordinates*3),{rawCoords:g,iris:b}=E3(M,a,i,!1),d=tr(e);Math.abs(d)<30?(t5(e,u,"left",null),t5(e,g,"right",null)):d<1?t5(e,u,"left",["EyeUpper0","EyeLower0"]):t5(e,g,"right",["EyeUpper0","EyeLower0"]);let P=z3(e,m,"left"),S=z3(e,b,"right");return e.concat(P).concat(S)}var or=[[61,146],[146,91],[91,181],[181,84],[84,17],[17,314],[314,405],[405,321],[321,375],[375,291],[61,185],[185,40],[40,39],[39,37],[37,0],[0,267],[267,269],[269,270],[270,409],[409,291],[78,95],[95,88],[88,178],[178,87],[87,14],[14,317],[317,402],[402,318],[318,324],[324,308],[78,191],[191,80],[80,81],[81,82],[82,13],[13,312],[312,311],[311,310],[310,415],[415,308]],nr=[[263,249],[249,390],[390,373],[373,374],[374,380],[380,381],[381,382],[382,362],[263,466],[466,388],[388,387],[387,386],[386,385],[385,384],[384,398],[398,362]],rr=[[276,283],[283,282],[282,295],[295,285],[300,293],[293,334],[334,296],[296,336]],Ar=[[474,475],[475,476],[476,477],[477,474]],sr=[[33,7],[7,163],[163,144],[144,145],[145,153],[153,154],[154,155],[155,133],[33,246],[246,161],[161,160],[160,159],[159,158],[158,157],[157,173],[173,133]],ar=[[46,53],[53,52],[52,65],[65,55],[70,63],[63,105],[105,66],[66,107]],ir=[[469,470],[470,471],[471,472],[472,469]],lr=[[10,338],[338,297],[297,332],[332,284],[284,251],[251,389],[389,356],[356,454],[454,323],[323,361],[361,288],[288,397],[397,365],[365,379],[379,378],[378,400],[400,377],[377,152],[152,148],[148,176],[176,149],[149,150],[150,136],[136,172],[172,58],[58,132],[132,93],[93,234],[234,127],[127,162],[162,21],[21,54],[54,103],[103,67],[67,109],[109,10]];function Pe(e){let t=e.map(o=>o[0]);return t.push(e[e.length-1][1]),t}var yr={lips:Pe(or),leftEye:Pe(nr),leftEyebrow:Pe(rr),leftIris:Pe(Ar),rightEye:Pe(sr),rightEyebrow:Pe(ar),rightIris:Pe(ir),faceOval:Pe(lr)},xr=Object.entries(yr).map(([e,t])=>t.map(o=>[o,e])).flat(),P7=new Map(xr),v2=[61,146,91,181,84,17,314,405,321,375,291,185,40,39,37,0,267,269,270,409,78,95,88,178,87,14,317,402,318,324,308,191,80,81,82,13,312,311,310,415,76,77,90,180,85,16,315,404,320,307,306,184,74,73,72,11,302,303,304,408,62,96,89,179,86,15,316,403,319,325,292,183,42,41,38,12,268,271,272,407],Oe=[33,7,163,144,145,153,154,155,133,246,161,160,159,158,157,173,130,25,110,24,23,22,26,112,243,247,30,29,27,28,56,190,226,31,228,229,230,231,232,233,244,113,225,224,223,222,221,189,35,124,46,53,52,65,143,111,117,118,119,120,121,128,245,156,70,63,105,66,107,55,193],Le=[263,249,390,373,374,380,381,382,362,466,388,387,386,385,384,398,359,255,339,254,253,252,256,341,463,467,260,259,257,258,286,414,446,261,448,449,450,451,452,453,464,342,445,444,443,442,441,413,265,353,276,283,282,295,372,340,346,347,348,349,350,357,465,383,300,293,334,296,336,285,417];async function N3(e,t){let o={lips:await t.filter(A=>A.size===160)[0].data(),irisL:await t.filter(A=>A.size===10)[0].data(),eyeL:await t.filter(A=>A.size===142)[0].data(),irisR:await t.filter(A=>A.size===10)[1].data(),eyeR:await t.filter(A=>A.size===142)[1].data()},n=Oe.reduce((A,s)=>A+=e[s][2],0)/Oe.length;for(let A=0;AA+=e[s][2],0)/Le.length;for(let A=0;Ah()-$0.timestamp,n=$0.skipped<(((i=t.face.detector)==null?void 0:i.skipFrames)||0);!t.skipAllowed||!o||!n||$0.boxes.length===0?($0.boxes=await e3(e,t),$0.timestamp=h(),$0.skipped=0):$0.skipped++;let r=[],A=[],s=0;for(let b=0;b<$0.boxes.length;b++){let d=$0.boxes[b],P=0,S,w={id:s++,mesh:[],meshRaw:[],box:[0,0,0,0],boxRaw:[0,0,0,0],score:0,boxScore:0,faceScore:0,annotations:{}};if([P,S,w.tensor]=Kt((y=t.face.detector)==null?void 0:y.rotation,d,e,(c=t.face.mesh)!=null&&c.enabled?We:Ye()),(l=t==null?void 0:t.filter)!=null&&l.equalization){let j=await N2(w.tensor);$e.dispose(w.tensor),w.tensor=j}if(w.boxScore=Math.round(100*d.confidence)/100,(x=t.face.mesh)!=null&&x.enabled)if(!b0)t.debug&&p("face mesh detection requested, but model is not loaded");else{let j=b0.execute(w.tensor),C=j.find(V=>V.shape[V.shape.length-1]===1),F=j.find(V=>V.shape[V.shape.length-1]===1404),Q=await C.data();w.faceScore=Math.round(100*Q[0])/100;let U=$e.reshape(F,[-1,3]),K=await U.array();if(w.faceScore<(((f=t.face.detector)==null?void 0:f.minConfidence)||1)){if(d.confidence=w.faceScore,(u=t.face.mesh)!=null&&u.keepInvalid){w.box=Z2(d,e),w.boxRaw=X2(d,e),w.score=w.boxScore,w.mesh=d.landmarks.map(V=>[(d.startPoint[0]+d.endPoint[0])/2+(d.endPoint[0]+d.startPoint[0])*V[0]/Ye(),(d.startPoint[1]+d.endPoint[1])/2+(d.endPoint[1]+d.startPoint[1])*V[1]/Ye()]),w.meshRaw=w.mesh.map(V=>[V[0]/(e.shape[2]||0),V[1]/(e.shape[1]||0),(V[2]||0)/We]);for(let V of Object.keys(Ce))w.annotations[V]=[w.mesh[Ce[V]]]}}else{(m=t.face.attention)!=null&&m.enabled?K=await N3(K,j):(M=t.face.iris)!=null&&M.enabled&&(K=await C3(K,w.tensor,t,We)),w.mesh=Yt(K,d,P,S,We),w.meshRaw=w.mesh.map(E=>[E[0]/(e.shape[2]||0),E[1]/(e.shape[1]||0),(E[2]||0)/We]);for(let E of Object.keys(D0))w.annotations[E]=D0[E].map(W0=>w.mesh[W0]);w.score=w.faceScore;let V={...Jt(w.mesh,d),confidence:d.confidence,landmarks:d.landmarks};w.box=Z2(V,e),w.boxRaw=X2(V,e),A.push(V)}$e.dispose([...j,U])}else{w.box=Z2(d,e),w.boxRaw=X2(d,e),w.score=w.boxScore,w.mesh=d.landmarks.map(j=>[(d.startPoint[0]+d.endPoint[0])/2+(d.endPoint[0]+d.startPoint[0])*j[0]/Ye(),(d.startPoint[1]+d.endPoint[1])/2+(d.endPoint[1]+d.startPoint[1])*j[1]/Ye()]),w.meshRaw=w.mesh.map(j=>[j[0]/(e.shape[2]||0),j[1]/(e.shape[1]||0),(j[2]||0)/We]);for(let j of Object.keys(Ce))w.annotations[j]=[w.mesh[Ce[j]]]}w.score>(((g=t.face.detector)==null?void 0:g.minConfidence)||1)?r.push(w):$e.dispose(w.tensor)}return $0.boxes=A,r}async function L3(e){var t,o,n,r,A,s;return v.initial&&(b0=null),((o=(t=e==null?void 0:e.face)==null?void 0:t.attention)==null?void 0:o.enabled)&&(b0==null?void 0:b0.signature)&&Object.keys(((n=b0==null?void 0:b0.signature)==null?void 0:n.outputs)||{}).length<6&&(b0=null),b0?e.debug&&p("cached model:",b0.modelUrl):(r=e.face.attention)!=null&&r.enabled?b0=await G((A=e.face.attention)==null?void 0:A.modelPath):b0=await G((s=e.face.mesh)==null?void 0:s.modelPath),We=b0.inputs[0].shape?b0.inputs[0].shape[2]:0,b0}var W3=je,F3=P2;var q0=D(H());var I0,o5=[],G3=0,B3=0,f1=Number.MAX_SAFE_INTEGER;async function H3(e){var t;return v.initial&&(I0=null),I0?e.debug&&p("cached model:",I0.modelUrl):I0=await G((t=e.face.description)==null?void 0:t.modelPath),I0}function m1(e){let t=e.image||e.tensor||e;if(!(I0!=null&&I0.inputs[0].shape))return t;let o=q0.image.resizeBilinear(t,[I0.inputs[0].shape[2],I0.inputs[0].shape[1]],!1),n=q0.mul(o,B.tf255);return q0.dispose(o),n}async function p1(e,t,o,n){var s,a,i,y;if(!I0)return{age:0,gender:"unknown",genderScore:0,descriptor:[]};let r=f1<(((s=t.face.description)==null?void 0:s.skipFrames)||0),A=(((a=t.face.description)==null?void 0:a.skipTime)||0)>h()-G3;return t.skipAllowed&&r&&A&&B3===n&&((i=o5[o])==null?void 0:i.age)&&((y=o5[o])==null?void 0:y.age)>0?(f1++,o5[o]):(f1=0,new Promise(async c=>{var x,f;let l={age:0,gender:"unknown",genderScore:0,descriptor:[]};if((x=t.face.description)!=null&&x.enabled){let u=m1(e),m=I0==null?void 0:I0.execute(u);G3=h(),q0.dispose(u);let g=await(await m.find(F=>F.shape[1]===1)).data(),b=Math.trunc(200*Math.abs(g[0]-.5))/100;b>(((f=t.face.description)==null?void 0:f.minConfidence)||0)&&(l.gender=g[0]<=.5?"female":"male",l.genderScore=Math.min(.99,b));let d=q0.argMax(m.find(F=>F.shape[1]===100),1),P=(await d.data())[0];q0.dispose(d);let w=await m.find(F=>F.shape[1]===100).data();l.age=Math.round(w[P-1]>w[P+1]?10*P-100*w[P-1]:10*P+100*w[P+1])/10;let j=m.find(F=>F.shape[1]===1024),C=j?await j.data():[];l.descriptor=Array.from(C),m.forEach(F=>q0.dispose(F))}o5[o]=l,B3=n,c(l)}))}var W=D(H());var Z3=D(H());function n5(e){return[Math.abs(e.endPoint[0]-e.startPoint[0]),Math.abs(e.endPoint[1]-e.startPoint[1])]}function 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a=o[r].box?[Math.trunc(Math.max(0,o[r].box.topLeft[0])),Math.trunc(Math.max(0,o[r].box.topLeft[1])),Math.trunc(Math.min(e.shape[2]||0,o[r].box.bottomRight[0])-Math.max(0,o[r].box.topLeft[0])),Math.trunc(Math.min(e.shape[1]||0,o[r].box.bottomRight[1])-Math.max(0,o[r].box.topLeft[1]))]:[0,0,0,0],i=[o[r].box.topLeft[0]/(e.shape[2]||0),o[r].box.topLeft[1]/(e.shape[1]||0),(o[r].box.bottomRight[0]-o[r].box.topLeft[0])/(e.shape[2]||0),(o[r].box.bottomRight[1]-o[r].box.topLeft[1])/(e.shape[1]||0)];let y=i5(s);n.push({id:r,score:Math.round(100*o[r].confidence)/100,boxScore:Math.round(100*o[r].boxConfidence)/100,fingerScore:Math.round(100*o[r].fingerConfidence)/100,label:"hand",box:a,boxRaw:i,keypoints:s,annotations:A,landmarks:y})}return n}async function R1(e){var o,n;v.initial&&(n2=null,r2=null),!n2||!r2?[n2,r2]=await Promise.all([e.hand.enabled?G((o=e.hand.detector)==null?void 0:o.modelPath):null,e.hand.landmarks?G((n=e.hand.skeleton)==null?void 0:n.modelPath):null]):(e.debug&&p("cached model:",n2.modelUrl),e.debug&&p("cached model:",r2.modelUrl));let t=new s5(n2);return lo=new a5(t,r2),[n2,r2]}var J=D(H());var c0=[null,null],Er=["StatefulPartitionedCall/Postprocessor/Slice","StatefulPartitionedCall/Postprocessor/ExpandDims_1"],Ee=[[0,0],[0,0]],zr=["hand","fist","pinch","point","face","tip","pinchtip"],xo=4,co=1.6,Sr=512,Cr=1.4,l5=Number.MAX_SAFE_INTEGER,v1=0,ce=[0,0],A0={boxes:[],hands:[]},fo={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],base:[0],palm:[0,17,13,9,5,1,0]};async function mo(e){var t;if(v.initial&&(c0[0]=null),c0[0])e.debug&&p("cached model:",c0[0].modelUrl);else{y5(["tensorlistreserve","enter","tensorlistfromtensor","merge","loopcond","switch","exit","tensorliststack","nextiteration","tensorlistsetitem","tensorlistgetitem","reciprocal","shape","split","where"],e),c0[0]=await G((t=e.hand.detector)==null?void 0:t.modelPath);let o=Object.values(c0[0].modelSignature.inputs);Ee[0][0]=Array.isArray(o)?parseInt(o[0].tensorShape.dim[1].size):0,Ee[0][1]=Array.isArray(o)?parseInt(o[0].tensorShape.dim[2].size):0}return c0[0]}async function po(e){var t;if(v.initial&&(c0[1]=null),c0[1])e.debug&&p("cached model:",c0[1].modelUrl);else{c0[1]=await G((t=e.hand.skeleton)==null?void 0:t.modelPath);let o=Object.values(c0[1].modelSignature.inputs);Ee[1][0]=Array.isArray(o)?parseInt(o[0].tensorShape.dim[1].size):0,Ee[1][1]=Array.isArray(o)?parseInt(o[0].tensorShape.dim[2].size):0}return c0[1]}async function jr(e,t){let o=[];if(!e||!c0[0])return o;let n={},r=(e.shape[2]||1)/(e.shape[1]||1),A=Math.min(Math.round((e.shape[1]||0)/8)*8,Sr),s=Math.round(A*r/8)*8;n.resize=J.image.resizeBilinear(e,[A,s]),n.cast=J.cast(n.resize,"int32"),[n.rawScores,n.rawBoxes]=await c0[0].executeAsync(n.cast,Er),n.boxes=J.squeeze(n.rawBoxes,[0,2]),n.scores=J.squeeze(n.rawScores,[0]);let a=J.unstack(n.scores,1);J.dispose(a[xo]),a.splice(xo,1),n.filtered=J.stack(a,1),J.dispose(a),n.max=J.max(n.filtered,1),n.argmax=J.argMax(n.filtered,1);let i=0;n.nms=await J.image.nonMaxSuppressionAsync(n.boxes,n.max,(t.hand.maxDetected||0)+1,t.hand.iouThreshold||0,t.hand.minConfidence||1);let y=await n.nms.data(),c=await n.max.data(),l=await n.argmax.data();for(let x of Array.from(y)){let f=J.slice(n.boxes,x,1),u=await f.data();J.dispose(f);let m=[u[1],u[0],u[3]-u[1],u[2]-u[0]],M=J2(m,Cr),g=[Math.trunc(m[0]*ce[0]),Math.trunc(m[1]*ce[1]),Math.trunc(m[2]*ce[0]),Math.trunc(m[3]*ce[1])],b=c[x],d=zr[l[x]],P={id:i++,score:b,box:g,boxRaw:M,label:d};o.push(P)}return Object.keys(n).forEach(x=>J.dispose(n[x])),o.sort((x,f)=>f.score-x.score),o.length>(t.hand.maxDetected||1)&&(o.length=t.hand.maxDetected||1),o}async function T1(e,t,o){let n={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&&c0[1]&&o.hand.landmarks&&t.score>(o.hand.minConfidence||0)){let r={},A=[t.boxRaw[1],t.boxRaw[0],t.boxRaw[3]+t.boxRaw[1],t.boxRaw[2]+t.boxRaw[0]];r.crop=J.image.cropAndResize(e,[A],[0],[Ee[1][0],Ee[1][1]],"bilinear"),r.div=J.div(r.crop,B.tf255),[r.score,r.keypoints]=c0[1].execute(r.div,["Identity_1","Identity"]);let s=(await r.score.data())[0],a=(100-Math.trunc(100/(1+Math.exp(s))))/100;if(a>=(o.hand.minConfidence||0)){n.fingerScore=a,r.reshaped=J.reshape(r.keypoints,[-1,3]);let c=(await r.reshaped.array()).map(l=>[l[0]/Ee[1][1],l[1]/Ee[1][0],l[2]||0]).map(l=>[l[0]*t.boxRaw[2],l[1]*t.boxRaw[3],l[2]||0]);n.keypoints=c.map(l=>[ce[0]*(l[0]+t.boxRaw[0]),ce[1]*(l[1]+t.boxRaw[1]),l[2]||0]),n.landmarks=i5(n.keypoints);for(let l of Object.keys(fo))n.annotations[l]=fo[l].map(x=>n.landmarks&&n.keypoints[x]?n.keypoints[x]:null)}Object.keys(r).forEach(i=>J.dispose(r[i]))}return n}async function w1(e,t){var r,A;if(!c0[0]||!c0[1]||!((r=c0[0])!=null&&r.inputs[0].shape)||!((A=c0[1])!=null&&A.inputs[0].shape))return[];ce=[e.shape[2]||0,e.shape[1]||0],l5++;let o=(t.hand.skipTime||0)>h()-v1,n=l5<(t.hand.skipFrames||0);return t.skipAllowed&&o&&n?A0.hands:new Promise(async s=>{let a=3*(t.hand.skipTime||0)>h()-v1,i=l5<3*(t.hand.skipFrames||0);t.skipAllowed&&A0.hands.length===t.hand.maxDetected?A0.hands=await Promise.all(A0.boxes.map(c=>T1(e,c,t))):t.skipAllowed&&a&&i&&A0.hands.length>0?A0.hands=await Promise.all(A0.boxes.map(c=>T1(e,c,t))):(A0.boxes=await jr(e,t),v1=h(),A0.hands=await Promise.all(A0.boxes.map(c=>T1(e,c,t))),l5=0);let y=[...A0.boxes];if(A0.boxes.length=0,t.cacheSensitivity>0)for(let c=0;c.05&&l.box[3]/(e.shape[1]||1)>.05&&A0.hands[c].fingerScore&&A0.hands[c].fingerScore>(t.hand.minConfidence||0)){let x=J2(l.box,co),f=J2(l.boxRaw,co);A0.boxes.push({...y[c],box:x,boxRaw:f})}}for(let c=0;ch()-bo,A=k1<(((a=t.face.liveness)==null?void 0:a.skipFrames)||0);return t.skipAllowed&&r&&A&&ho===n&&x5[o]?(k1++,x5[o]):(k1=0,new Promise(async i=>{let y=c5.image.resizeBilinear(e,[g0!=null&&g0.inputs[0].shape?g0.inputs[0].shape[2]:0,g0!=null&&g0.inputs[0].shape?g0.inputs[0].shape[1]:0],!1),c=g0==null?void 0:g0.execute(y),l=(await c.data())[0];x5[o]=Math.round(100*l)/100,ho=n,bo=h(),c5.dispose([y,c]),i(x5[o])}))}var wo=D(H());var w2={};Se(w2,{connected:()=>f5,horizontal:()=>z1,kpt:()=>d5,relative:()=>C1,vertical:()=>S1});var d5=["nose","leftEye","rightEye","leftEar","rightEar","leftShoulder","rightShoulder","leftElbow","rightElbow","leftWrist","rightWrist","leftHip","rightHip","leftKnee","rightKnee","leftAnkle","rightAnkle"],z1=[["leftEye","rightEye"],["leftEar","rightEar"],["leftShoulder","rightShoulder"],["leftElbow","rightElbow"],["leftWrist","rightWrist"],["leftHip","rightHip"],["leftKnee","rightKnee"],["leftAnkle","rightAnkle"]],S1=[["leftKnee","leftShoulder"],["rightKnee","rightShoulder"],["leftAnkle","leftKnee"],["rightAnkle","rightKnee"]],C1=[[["leftHip","rightHip"],["leftShoulder","rightShoulder"]],[["leftElbow","rightElbow"],["leftShoulder","rightShoulder"]]],f5={leftLeg:["leftHip","leftKnee","leftAnkle"],rightLeg:["rightHip","rightKnee","rightAnkle"],torso:["leftShoulder","rightShoulder","rightHip","leftHip","leftShoulder"],leftArm:["leftShoulder","leftElbow","leftWrist"],rightArm:["rightShoulder","rightElbow","rightWrist"],head:[]};var ze=D(H()),Mo=.005,O0={keypoints:[],padding:[[0,0],[0,0],[0,0],[0,0]]};function j1(e){for(let t of z1){let o=e.keypoints.findIndex(r=>r.part===t[0]),n=e.keypoints.findIndex(r=>r.part===t[1]);if(e.keypoints[o]&&e.keypoints[n]&&e.keypoints[o].position[0]r&&r.part===t[0]),n=e.keypoints.findIndex(r=>r&&r.part===t[1]);e.keypoints[o]&&e.keypoints[n]&&e.keypoints[o].position[1]y&&y.part===t[0]),r=e.keypoints.findIndex(y=>y&&y.part===t[1]),A=e.keypoints.findIndex(y=>y&&y.part===o[0]),s=e.keypoints.findIndex(y=>y&&y.part===o[1]);if(!e.keypoints[A]||!e.keypoints[s])continue;let a=e.keypoints[n]?[Math.abs(e.keypoints[A].position[0]-e.keypoints[n].position[0]),Math.abs(e.keypoints[s].position[0]-e.keypoints[n].position[0])]:[0,0],i=e.keypoints[r]?[Math.abs(e.keypoints[s].position[0]-e.keypoints[r].position[0]),Math.abs(e.keypoints[A].position[0]-e.keypoints[r].position[0])]:[0,0];if(a[0]>a[1]||i[0]>i[1]){let y=e.keypoints[n];e.keypoints[n]=e.keypoints[r],e.keypoints[r]=y}}}function Ro(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]],o.pad=ze.pad(e,O0.padding),o.resize=ze.image.resizeBilinear(o.pad,[t,t]);let n=ze.cast(o.resize,"int32");return Object.keys(o).forEach(r=>ze.dispose(o[r])),n}function To(e,t){e.keypoints=e.keypoints.filter(n=>n&&n.position);for(let n of e.keypoints)n.position=[n.position[0]*(t[0]+O0.padding[2][0]+O0.padding[2][1])/t[0]-O0.padding[2][0],n.position[1]*(t[1]+O0.padding[1][0]+O0.padding[1][1])/t[1]-O0.padding[1][0]],n.positionRaw=[n.position[0]/t[0],n.position[1]/t[1]];let o=ae(e.keypoints.map(n=>n.position),t);return e.box=o.box,e.boxRaw=o.boxRaw,e}var L0,m5=0,I1=Number.MAX_SAFE_INTEGER,He={boxes:[],bodies:[],last:0};async function ko(e){return v.initial&&(L0=null),L0?e.debug&&p("cached model:",L0.modelUrl):(y5(["size"],e),L0=await G(e.body.modelPath)),m5=L0.inputs[0].shape?L0.inputs[0].shape[2]:0,m5<64&&(m5=256),L0}async function Nr(e,t,o){let n=e[0][0],r=[],A=0;for(let c=0;ct.body.minConfidence){let l=[n[c][1],n[c][0]];r.push({score:Math.round(100*A)/100,part:d5[c],positionRaw:l,position:[Math.round((o.shape[2]||0)*l[0]),Math.round((o.shape[1]||0)*l[1])]})}A=r.reduce((c,l)=>l.score>c?l.score:c,0);let s=[],a=ae(r.map(c=>c.position),[o.shape[2],o.shape[1]]),i={};for(let[c,l]of Object.entries(f5)){let x=[];for(let f=0;fM.part===l[f]),m=r.find(M=>M.part===l[f+1]);u&&m&&u.score>(t.body.minConfidence||0)&&m.score>(t.body.minConfidence||0)&&x.push([u.position,m.position])}i[c]=x}let y={id:0,score:A,box:a.box,boxRaw:a.boxRaw,keypoints:r,annotations:i};return j1(y),s.push(y),s}async function Or(e,t,o){let n=[];for(let r=0;rt.body.minConfidence){let a=[];for(let l=0;l<17;l++){let x=A[3*l+2];if(x>t.body.minConfidence){let f=[A[3*l+1],A[3*l+0]];a.push({part:d5[l],score:Math.round(100*x)/100,positionRaw:f,position:[Math.round((o.shape[2]||0)*f[0]),Math.round((o.shape[1]||0)*f[1])]})}}let i=ae(a.map(l=>l.position),[o.shape[2],o.shape[1]]),y={};for(let[l,x]of Object.entries(f5)){let f=[];for(let u=0;ug.part===x[u]),M=a.find(g=>g.part===x[u+1]);m&&M&&m.score>(t.body.minConfidence||0)&&M.score>(t.body.minConfidence||0)&&f.push([m.position,M.position])}y[l]=f}let c={id:r,score:s,box:i.box,boxRaw:i.boxRaw,keypoints:[...a],annotations:y};j1(c),n.push(c)}}return n.sort((r,A)=>A.score-r.score),n.length>t.body.maxDetected&&(n.length=t.body.maxDetected),n}async function N1(e,t){if(!L0||!(L0!=null&&L0.inputs[0].shape))return[];t.skipAllowed||(He.boxes.length=0),I1++;let o=(t.body.skipTime||0)>h()-He.last,n=I1<(t.body.skipFrames||0);return t.skipAllowed&&o&&n?He.bodies:new Promise(async r=>{let A={};I1=0,A.input=vo(e,m5),A.res=L0==null?void 0:L0.execute(A.input),He.last=h();let s=await A.res.array();He.bodies=A.res.shape[2]===17?await Nr(s,t,e):await Or(s,t,e);for(let a of He.bodies)To(a,[e.shape[2]||1,e.shape[1]||1]),Ro(a.keypoints);Object.keys(A).forEach(a=>wo.dispose(A[a])),r(He.bodies)})}var w0=D(H());var A2,p5=[],zo=0,O1=Number.MAX_SAFE_INTEGER,h5=0,u5=2.5;async function So(e){if(!A2||v.initial){A2=await G(e.object.modelPath);let t=Object.values(A2.modelSignature.inputs);h5=Array.isArray(t)?parseInt(t[0].tensorShape.dim[2].size):0}else e.debug&&p("cached model:",A2.modelUrl);return A2}async function Lr(e,t,o){let n=0,r=[];for(let i of[1,2,4])w0.tidy(async()=>{let y=i*13,c=w0.squeeze(e.find(m=>m.shape[1]===y**2&&(m.shape[2]||0)===Je.length)),l=w0.squeeze(e.find(m=>m.shape[1]===y**2&&(m.shape[2]||0)(o.object.minConfidence||0)&&M!==61){let b=(.5+Math.trunc(m%y))/y,d=(.5+Math.trunc(m/y))/y,P=f[m].map(K=>K*(y/i/h5)),[S,w]=[b-u5/i*P[0],d-u5/i*P[1]],[j,C]=[b+u5/i*P[2]-S,d+u5/i*P[3]-w],F=[S,w,j,C];F=F.map(K=>Math.max(0,Math.min(K,1)));let Q=[F[0]*t[0],F[1]*t[1],F[2]*t[0],F[3]*t[1]],U={id:n++,score:Math.round(100*g)/100,class:M+1,label:Je[M].label,box:Q.map(K=>Math.trunc(K)),boxRaw:F};r.push(U)}}});e.forEach(i=>w0.dispose(i));let A=r.map(i=>[i.boxRaw[1],i.boxRaw[0],i.boxRaw[3],i.boxRaw[2]]),s=r.map(i=>i.score),a=[];if(A&&A.length>0){let i=await w0.image.nonMaxSuppressionAsync(A,s,o.object.maxDetected,o.object.iouThreshold,o.object.minConfidence);a=await i.data(),w0.dispose(i)}return r=r.filter((i,y)=>a.includes(y)).sort((i,y)=>y.score-i.score),r}async function L1(e,t){let o=(t.object.skipTime||0)>h()-zo,n=O1<(t.object.skipFrames||0);return t.skipAllowed&&o&&n&&p5.length>0?(O1++,p5):(O1=0,!v.kernels.includes("mod")||!v.kernels.includes("sparsetodense")?p5:new Promise(async r=>{let A=[e.shape[2]||0,e.shape[1]||0],s=w0.image.resizeBilinear(e,[h5,h5],!1),a=w0.div(s,B.tf255),i=a.transpose([0,3,1,2]);w0.dispose(a),w0.dispose(s);let y;t.object.enabled&&(y=A2.execute(i)),zo=h(),w0.dispose(i);let c=await Lr(y,A,t);p5=c,r(c)}))}var k0=D(H());var E2=["nose","leftEye","rightEye","leftEar","rightEar","leftShoulder","rightShoulder","leftElbow","rightElbow","leftWrist","rightWrist","leftHip","rightHip","leftKnee","rightKnee","leftAnkle","rightAnkle"],Wr=E2.length,k2=E2.reduce((e,t,o)=>(e[t]=o,e),{}),Fr=[["leftHip","leftShoulder"],["leftElbow","leftShoulder"],["leftElbow","leftWrist"],["leftHip","leftKnee"],["leftKnee","leftAnkle"],["rightHip","rightShoulder"],["rightElbow","rightShoulder"],["rightElbow","rightWrist"],["rightHip","rightKnee"],["rightKnee","rightAnkle"],["leftShoulder","rightShoulder"],["leftHip","rightHip"]],i4=Fr.map(([e,t])=>[k2[e],k2[t]]),jo=[["nose","leftEye"],["leftEye","leftEar"],["nose","rightEye"],["rightEye","rightEar"],["nose","leftShoulder"],["leftShoulder","leftElbow"],["leftElbow","leftWrist"],["leftShoulder","leftHip"],["leftHip","leftKnee"],["leftKnee","leftAnkle"],["nose","rightShoulder"],["rightShoulder","rightElbow"],["rightElbow","rightWrist"],["rightShoulder","rightHip"],["rightHip","rightKnee"],["rightKnee","rightAnkle"]];function Io(e){let t=e.reduce(({maxX:o,maxY:n,minX:r,minY:A},{position:{x:s,y:a}})=>({maxX:Math.max(o,s),maxY:Math.max(n,a),minX:Math.min(r,s),minY:Math.min(A,a)}),{maxX:Number.NEGATIVE_INFINITY,maxY:Number.NEGATIVE_INFINITY,minX:Number.POSITIVE_INFINITY,minY:Number.POSITIVE_INFINITY});return[t.minX,t.minY,t.maxX-t.minX,t.maxY-t.minY]}function No(e,[t,o],[n,r]){let A=t/n,s=o/r,a=(y,c)=>({id:c,score:y.score,boxRaw:[y.box[0]/r,y.box[1]/n,y.box[2]/r,y.box[3]/n],box:[Math.trunc(y.box[0]*s),Math.trunc(y.box[1]*A),Math.trunc(y.box[2]*s),Math.trunc(y.box[3]*A)],keypoints:y.keypoints.map(({score:l,part:x,position:f})=>({score:l,part:x,position:[Math.trunc(f.x*s),Math.trunc(f.y*A)],positionRaw:[f.x/n,f.y/n]})),annotations:{}});return e.map((y,c)=>a(y,c))}var b5=class{constructor(t,o){T(this,"priorityQueue");T(this,"numberOfElements");T(this,"getElementValue");this.priorityQueue=new 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Ue=e=>[Math.abs(e.endPoint[0]-e.startPoint[0]),Math.abs(e.endPoint[1]-e.startPoint[1])],V2=e=>[e.startPoint[0]+(e.endPoint[0]-e.startPoint[0])/2,e.startPoint[1]+(e.endPoint[1]-e.startPoint[1])/2,1],D2=(e,t)=>e?[Math.trunc(Math.max(0,e.startPoint[0])),Math.trunc(Math.max(0,e.startPoint[1])),Math.trunc(Math.min(t.shape[2]||0,e.endPoint[0])-Math.max(0,e.startPoint[0])),Math.trunc(Math.min(t.shape[1]||0,e.endPoint[1])-Math.max(0,e.startPoint[1]))]:[0,0,0,0],Z2=(e,t)=>e?[e.startPoint[0]/(t.shape[2]||0),e.startPoint[1]/(t.shape[1]||0),(e.endPoint[0]-e.startPoint[0])/(t.shape[2]||0),(e.endPoint[1]-e.startPoint[1])/(t.shape[1]||0)]:[0,0,0,0],Dt=(e,t)=>{let o=[e.startPoint[0]*t[0],e.startPoint[1]*t[1]],n=[e.endPoint[0]*t[0],e.endPoint[1]*t[1]];return{startPoint:o,endPoint:n,landmarks:e.landmarks,confidence:e.confidence}},q5=(e,t,o)=>{let n=t.shape[1],r=t.shape[2],A=[e.startPoint[1]/n,e.startPoint[0]/r,e.endPoint[1]/n,e.endPoint[0]/r],s=se.image.cropAndResize(t,[A],[0],o),a=se.div(s,B.tf255);return se.dispose(s),a},X2=(e,t)=>{let o=V2(e),n=Ue(e),r=[t*n[0]/2,t*n[1]/2];return{startPoint:[o[0]-r[0],o[1]-r[1]],endPoint:[o[0]+r[0],o[1]+r[1]],landmarks:e.landmarks,confidence:e.confidence}},q2=e=>{let t=V2(e),o=Ue(e),n=Math.max(...o)/2;return{startPoint:[Math.round(t[0]-n),Math.round(t[1]-n)],endPoint:[Math.round(t[0]+n),Math.round(t[1]+n)],landmarks:e.landmarks,confidence:e.confidence}},Zt=e=>{let t=e.map(n=>n[0]),o=e.map(n=>n[1]);return{startPoint:[Math.min(...t),Math.min(...o)],endPoint:[Math.max(...t),Math.max(...o)],landmarks:e}},U5=[[1,0,0],[0,1,0],[0,0,1]],On=e=>e-2*Math.PI*Math.floor((e+Math.PI)/(2*Math.PI)),Ln=(e,t)=>On(Math.PI/2-Math.atan2(-(t[1]-e[1]),t[0]-e[0]));var Ht=(e,t)=>[[1,0,e],[0,1,t],[0,0,1]],Ie=(e,t)=>{let o=0;for(let n=0;n{let o=[];for(let n=0;n{let o=[],n=e.length;for(let r=0;r{let 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y=V2(t),c=[y[0]/o.shape[2],y[1]/o.shape[1]],l=se.image.rotateWithOffset(o,A,0,c);s=Xt(-A,y),a=q5(t,l,[n,n]),se.dispose(l)}else a=q5(t,o,[n,n]);else a=q5(t,o,[n,n]);return[A,s,a]}var Bn=e=>{let t=e.map(n=>n[0]),o=e.map(n=>n[1]);return[Math.min(...t)+(Math.max(...t)-Math.min(...t))/2,Math.min(...o)+(Math.max(...o)-Math.min(...o))/2]},Kt=(e,t)=>{let o=Bn(e),n=Ue(t);return{startPoint:[o[0]-n[0]/2,o[1]-n[1]/2],endPoint:[o[0]+n[0]/2,o[1]+n[1]/2]}};var Jt=6,Hn=1.4,_0,Qt=null,he=0,M2=null,Ye=()=>he;async function _t(e){var t;return v.initial&&(_0=null),_0?e.debug&&p("cached model:",_0.modelUrl):_0=await G((t=e.face.detector)==null?void 0:t.modelPath),he=_0.inputs[0].shape?_0.inputs[0].shape[2]:0,M2=O.scalar(he,"int32"),Qt=O.tensor2d(qt(he)),_0}function Vn(e){let t={};t.boxStarts=O.slice(e,[0,1],[-1,2]),t.centers=O.add(t.boxStarts,Qt),t.boxSizes=O.slice(e,[0,3],[-1,2]),t.boxSizesNormalized=O.div(t.boxSizes,M2),t.centersNormalized=O.div(t.centers,M2),t.halfBoxSize=O.div(t.boxSizesNormalized,B.tf2),t.starts=O.sub(t.centersNormalized,t.halfBoxSize),t.ends=O.add(t.centersNormalized,t.halfBoxSize),t.startNormalized=O.mul(t.starts,M2),t.endNormalized=O.mul(t.ends,M2);let o=O.concat2d([t.startNormalized,t.endNormalized],1);return Object.keys(t).forEach(n=>O.dispose(t[n])),o}async function $t(e,t){var a,i,y,c;if(!e||e.isDisposedInternal||e.shape.length!==4||e.shape[1]<1||e.shape[2]<1)return[];let o={};o.resized=O.image.resizeBilinear(e,[he,he]),o.div=O.div(o.resized,B.tf127),o.normalized=O.sub(o.div,B.tf05);let n=_0==null?void 0:_0.execute(o.normalized);if(Array.isArray(n)&&n.length>2){let l=n.sort((x,f)=>x.size-f.size);o.concat384=O.concat([l[0],l[2]],2),o.concat512=O.concat([l[1],l[3]],2),o.concat=O.concat([o.concat512,o.concat384],1),o.batch=O.squeeze(o.concat,0)}else Array.isArray(n)?o.batch=O.squeeze(n[0]):o.batch=O.squeeze(n);O.dispose(n),o.boxes=Vn(o.batch),o.logits=O.slice(o.batch,[0,0],[-1,1]),o.sigmoid=O.sigmoid(o.logits),o.scores=O.squeeze(o.sigmoid),o.nms=await O.image.nonMaxSuppressionAsync(o.boxes,o.scores,((a=t.face.detector)==null?void 0:a.maxDetected)||0,((i=t.face.detector)==null?void 0:i.iouThreshold)||0,((y=t.face.detector)==null?void 0:y.minConfidence)||0);let r=await o.nms.array(),A=[],s=await o.scores.data();for(let l=0;l(((c=t.face.detector)==null?void 0:c.minConfidence)||0)){let f={};f.bbox=O.slice(o.boxes,[r[l],0],[1,-1]),f.slice=O.slice(o.batch,[r[l],Jt-1],[1,-1]),f.squeeze=O.squeeze(f.slice),f.landmarks=O.reshape(f.squeeze,[Jt,-1]);let u=await f.bbox.data(),m={startPoint:[u[0],u[1]],endPoint:[u[2],u[3]],landmarks:await f.landmarks.array(),confidence:x},M=Dt(m,[(e.shape[2]||0)/he,(e.shape[1]||0)/he]),g=X2(M,t.face.scale||Hn),b=q2(g);A.push(b),Object.keys(f).forEach(d=>O.dispose(f[d]))}}return Object.keys(o).forEach(l=>O.dispose(o[l])),A}var C0=D(H());var U2={};Se(U2,{connected:()=>J5,kpt:()=>K5});var K5=["nose","leftEyeInside","leftEye","leftEyeOutside","rightEyeInside","rightEye","rightEyeOutside","leftEar","rightEar","leftMouth","rightMouth","leftShoulder","rightShoulder","leftElbow","rightElbow","leftWrist","rightWrist","leftPinky","rightPinky","leftIndex","rightIndex","leftThumb","rightThumb","leftHip","rightHip","leftKnee","rightKnee","leftAnkle","rightAnkle","leftHeel","rightHeel","leftFoot","rightFoot","bodyCenter","bodyTop","leftPalm","leftHand","rightPalm","rightHand"],J5={shoulders:["leftShoulder","rightShoulder"],hips:["rightHip","leftHip"],mouth:["leftMouth","rightMouth"],leftLegUpper:["leftHip","leftKnee"],leftLegLower:["leftKnee","leftAnkle"],leftFoot:["leftAnkle","leftHeel","leftFoot"],leftTorso:["leftShoulder","leftHip"],leftArmUpper:["leftShoulder","leftElbow"],leftArmLower:["leftElbow","leftWrist"],leftHand:["leftWrist","leftPalm"],leftHandPinky:["leftPalm","leftPinky"],leftHandIndex:["leftPalm","leftIndex"],leftHandThumb:["leftPalm","leftThumb"],leftEyeOutline:["leftEyeInside","leftEyeOutside"],rightLegUpper:["rightHip","rightKnee"],rightLegLower:["rightKnee","rightAnkle"],rightFoot:["rightAnkle","rightHeel","rightFoot"],rightTorso:["rightShoulder","rightHip"],rightArmUpper:["rightShoulder","rightElbow"],rightArmLower:["rightElbow","rightWrist"],rightHand:["rightWrist","rightPalm"],rightHandPinky:["rightPalm","rightPinky"],rightHandIndex:["rightPalm","rightIndex"],rightHandThumb:["rightPalm","rightThumb"],rightEyeOutline:["rightEyeInside","rightEyeOutside"]};var z0=D(H()),t3=224,Dn,Zn=5,Y2=[8,16,32,32,32];async function o3(){let e=[],t=0;for(;to.x)),y:z0.tensor1d(e.map(o=>o.y))}}function ae(e,t=[1,1]){let o=[e.map(a=>a[0]),e.map(a=>a[1])],n=[Math.min(...o[0]),Math.min(...o[1])],r=[Math.max(...o[0]),Math.max(...o[1])],A=[n[0],n[1],r[0]-n[0],r[1]-n[1]],s=[A[0]/t[0],A[1]/t[1],A[2]/t[0],A[3]/t[1]];return{box:A,boxRaw:s}}function n3(e,t=[1,1]){let o=[e.map(y=>y[0]),e.map(y=>y[1])],n=[Math.min(...o[0]),Math.min(...o[1])],r=[Math.max(...o[0]),Math.max(...o[1])],A=[(n[0]+r[0])/2,(n[1]+r[1])/2],s=Math.max(A[0]-n[0],A[1]-n[1],-A[0]+r[0],-A[1]+r[1]),a=[Math.trunc(A[0]-s),Math.trunc(A[1]-s),Math.trunc(2*s),Math.trunc(2*s)],i=[a[0]/t[0],a[1]/t[1],a[2]/t[0],a[3]/t[1]];return{box:a,boxRaw:i}}function K2(e,t){let o=[e[2]*t,e[3]*t];return[e[0]-(o[0]-e[2])/2,e[1]-(o[1]-e[3])/2,o[0],o[1]]}var s3={initial:!0},S0={detector:null,landmarks:null},Ke={detector:[224,224],landmarks:[256,256]},Q5=Number.MAX_SAFE_INTEGER,qn={landmarks:["ld_3d","activation_segmentation","activation_heatmap","world_3d","output_poseflag"],detector:[]},Q2=null,R2,be=[[0,0],[0,0],[0,0],[0,0]],r3=0,A3=e=>1-1/(1+Math.exp(e));async function a3(e){if(s3.initial&&(S0.detector=null),!S0.detector&&e.body.detector&&e.body.detector.modelPath){S0.detector=await G(e.body.detector.modelPath);let t=Object.values(S0.detector.modelSignature.inputs);Ke.detector[0]=Array.isArray(t)?parseInt(t[0].tensorShape.dim[1].size):0,Ke.detector[1]=Array.isArray(t)?parseInt(t[0].tensorShape.dim[2].size):0}else e.debug&&S0.detector&&p("cached model:",S0.detector.modelUrl);return await o3(),S0.detector}async function i3(e){if(s3.initial&&(S0.landmarks=null),S0.landmarks)e.debug&&p("cached model:",S0.landmarks.modelUrl);else{S0.landmarks=await G(e.body.modelPath);let t=Object.values(S0.landmarks.modelSignature.inputs);Ke.landmarks[0]=Array.isArray(t)?parseInt(t[0].tensorShape.dim[1].size):0,Ke.landmarks[1]=Array.isArray(t)?parseInt(t[0].tensorShape.dim[2].size):0}return S0.landmarks}async function Un(e,t){let o={};if(!e.shape||!e.shape[1]||!e.shape[2])return e;let n;if(R2&&(o.cropped=C0.image.cropAndResize(e,[R2],[0],[e.shape[1],e.shape[2]])),e.shape[1]!==e.shape[2]){let r=[e.shape[2]>e.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],A=[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];be=[[0,0],r,A,[0,0]],o.pad=C0.pad(o.cropped||e,be),o.resize=C0.image.resizeBilinear(o.pad,[t,t]),n=C0.div(o.resize,B.tf255)}else e.shape[1]!==t?(o.resize=C0.image.resizeBilinear(o.cropped||e,[t,t]),n=C0.div(o.resize,B.tf255)):n=C0.div(o.cropped||e,B.tf255);return Object.keys(o).forEach(r=>C0.dispose(o[r])),n}function Yn(e,t){for(let o of e)o.position=[Math.trunc(o.position[0]*(t[0]+be[2][0]+be[2][1])/t[0]-be[2][0]),Math.trunc(o.position[1]*(t[1]+be[1][0]+be[1][1])/t[1]-be[1][0]),o.position[2]],o.positionRaw=[o.position[0]/t[0],o.position[1]/t[1],2*o.position[2]/(t[0]+t[1])];if(R2)for(let o of e)o.positionRaw=[o.positionRaw[0]+R2[1],o.positionRaw[1]+R2[0],o.positionRaw[2]],o.position=[Math.trunc(o.positionRaw[0]*t[0]),Math.trunc(o.positionRaw[1]*t[1]),o.positionRaw[2]];return e}async function Kn(e){let t=e.find(a=>a.part==="leftPalm"),o=e.find(a=>a.part==="leftWrist"),n=e.find(a=>a.part==="leftIndex");t.position[2]=((o.position[2]||0)+(n.position[2]||0))/2;let r=e.find(a=>a.part==="rightPalm"),A=e.find(a=>a.part==="rightWrist"),s=e.find(a=>a.part==="rightIndex");r.position[2]=((A.position[2]||0)+(s.position[2]||0))/2}async function Jn(e,t,o){var u;let n={};[n.ld,n.segmentation,n.heatmap,n.world,n.poseflag]=(u=S0.landmarks)==null?void 0:u.execute(e,qn.landmarks);let r=(await n.poseflag.data())[0],A=await n.ld.data(),s=await n.world.data();Object.keys(n).forEach(m=>C0.dispose(n[m]));let a=[],i=5;for(let m=0;mm.position),l=ae(c,[o[0],o[1]]),x={};for(let[m,M]of Object.entries(J5)){let g=[];for(let b=0;bS.part===M[b]),P=y.find(S=>S.part===M[b+1]);d&&P&&g.push([d.position,P.position])}x[m]=g}return{id:0,score:Math.trunc(100*r)/100,box:l.box,boxRaw:l.boxRaw,keypoints:y,annotations:x}}async function _5(e,t){let o=[e.shape[2]||0,e.shape[1]||0],n=(t.body.skipTime||0)>h()-r3,r=Q5<(t.body.skipFrames||0);if(t.skipAllowed&&n&&r&&Q2!==null)Q5++;else{let A={};A.landmarks=await Un(e,256),Q2=await Jn(A.landmarks,t,o),Object.keys(A).forEach(s=>C0.dispose(A[s])),r3=h(),Q5=0}return Q2?[Q2]:[]}var R0=D(H());var Je=[{class:1,label:"person"},{class:2,label:"bicycle"},{class:3,label:"car"},{class:4,label:"motorcycle"},{class:5,label:"airplane"},{class:6,label:"bus"},{class:7,label:"train"},{class:8,label:"truck"},{class:9,label:"boat"},{class:10,label:"traffic 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glass"},{class:42,label:"cup"},{class:43,label:"fork"},{class:44,label:"knife"},{class:45,label:"spoon"},{class:46,label:"bowl"},{class:47,label:"banana"},{class:48,label:"apple"},{class:49,label:"sandwich"},{class:50,label:"orange"},{class:51,label:"broccoli"},{class:52,label:"carrot"},{class:53,label:"hot dog"},{class:54,label:"pizza"},{class:55,label:"donut"},{class:56,label:"cake"},{class:57,label:"chair"},{class:58,label:"couch"},{class:59,label:"potted plant"},{class:60,label:"bed"},{class:61,label:"dining table"},{class:62,label:"toilet"},{class:63,label:"tv"},{class:64,label:"laptop"},{class:65,label:"mouse"},{class:66,label:"remote"},{class:67,label:"keyboard"},{class:68,label:"cell phone"},{class:69,label:"microwave"},{class:70,label:"oven"},{class:71,label:"toaster"},{class:72,label:"sink"},{class:73,label:"refrigerator"},{class:74,label:"book"},{class:75,label:"clock"},{class:76,label:"vase"},{class:77,label:"scissors"},{class:78,label:"teddy bear"},{class:79,label:"hair drier"},{class:80,label:"toothbrush"}];var ie,Ne=0,$5=[],y3=0,e1=Number.MAX_SAFE_INTEGER;async function x3(e){if(v.initial&&(ie=null),ie)e.debug&&p("cached model:",ie.modelUrl);else{ie=await G(e.object.modelPath);let t=Object.values(ie.modelSignature.inputs);Ne=Array.isArray(t)?parseInt(t[0].tensorShape.dim[2].size):0}return ie}async function Qn(e,t,o){if(!e)return[];let n={},r=[],A=await e.array();n.squeeze=R0.squeeze(e);let s=R0.split(n.squeeze,6,1);n.stack=R0.stack([s[1],s[0],s[3],s[2]],1),n.boxes=R0.squeeze(n.stack),n.scores=R0.squeeze(s[4]),n.classes=R0.squeeze(s[5]),R0.dispose([e,...s]),n.nms=await R0.image.nonMaxSuppressionAsync(n.boxes,n.scores,o.object.maxDetected,o.object.iouThreshold,o.object.minConfidence||0);let a=await n.nms.data(),i=0;for(let y of Array.from(a)){let c=Math.trunc(100*A[0][y][4])/100,l=A[0][y][5],x=Je[l].label,[f,u]=[A[0][y][0]/Ne,A[0][y][1]/Ne],m=[f,u,A[0][y][2]/Ne-f,A[0][y][3]/Ne-u],M=[Math.trunc(m[0]*t[0]),Math.trunc(m[1]*t[1]),Math.trunc(m[2]*t[0]),Math.trunc(m[3]*t[1])];r.push({id:i++,score:c,class:l,label:x,box:M,boxRaw:m})}return Object.keys(n).forEach(y=>R0.dispose(n[y])),r}async function t1(e,t){let o=(t.object.skipTime||0)>h()-y3,n=e1<(t.object.skipFrames||0);return t.skipAllowed&&o&&n&&$5.length>0?(e1++,$5):(e1=0,new Promise(async r=>{let A=[e.shape[2]||0,e.shape[1]||0],s=R0.image.resizeBilinear(e,[Ne,Ne]),a=t.object.enabled?ie==null?void 0:ie.execute(s,["tower_0/detections"]):null;y3=h(),R0.dispose(s);let i=await Qn(a,A,t);$5=i,r(i)}))}var _=D(H());var _2={};Se(_2,{connected:()=>n1,kpt:()=>o1});var o1=["head","neck","rightShoulder","rightElbow","rightWrist","chest","leftShoulder","leftElbow","leftWrist","bodyCenter","rightHip","rightKnee","rightAnkle","leftHip","leftKnee","leftAnkle"],n1={leftLeg:["leftHip","leftKnee","leftAnkle"],rightLeg:["rightHip","rightKnee","rightAnkle"],torso:["leftShoulder","rightShoulder","rightHip","leftHip","leftShoulder"],leftArm:["leftShoulder","leftElbow","leftWrist"],rightArm:["rightShoulder","rightElbow","rightWrist"],head:[]};var h0,d3=0,v0={id:0,keypoints:[],box:[0,0,0,0],boxRaw:[0,0,0,0],score:0,annotations:{}},r1=Number.MAX_SAFE_INTEGER;async function f3(e){return v.initial&&(h0=null),h0?e.debug&&p("cached model:",h0.modelUrl):h0=await G(e.body.modelPath),h0}async function _n(e,t){let[o,n]=e.shape,r=_.reshape(e,[n*o]),A=_.max(r,0),s=(await A.data())[0];if(_.dispose([r,A]),s>t){let a=_.argMax(r,0),i=_.mod(a,o),y=(await i.data())[0],c=_.div(a,_.scalar(o,"int32")),l=(await c.data())[0];return _.dispose([i,c]),[y,l,s]}return[0,0,s]}async function A1(e,t){let o=(t.body.skipTime||0)>h()-d3,n=r1<(t.body.skipFrames||0);return t.skipAllowed&&o&&n&&Object.keys(v0.keypoints).length>0?(r1++,[v0]):(r1=0,new Promise(async r=>{var l;let A=_.tidy(()=>{if(!(h0!=null&&h0.inputs[0].shape))return null;let x=_.image.resizeBilinear(e,[h0.inputs[0].shape[2],h0.inputs[0].shape[1]],!1),f=_.mul(x,B.tf2);return _.sub(f,B.tf1)}),s;if(t.body.enabled&&(s=h0==null?void 0:h0.execute(A)),d3=h(),_.dispose(A),s){v0.keypoints.length=0;let x=s.squeeze();_.dispose(s);let f=x.unstack(2);_.dispose(x);for(let u=0;u(((l=t.body)==null?void 0:l.minConfidence)||0)&&v0.keypoints.push({score:Math.round(100*g)/100,part:o1[u],positionRaw:[m/h0.inputs[0].shape[2],M/h0.inputs[0].shape[1]],position:[Math.round(e.shape[2]*m/h0.inputs[0].shape[2]),Math.round(e.shape[1]*M/h0.inputs[0].shape[1])]})}f.forEach(u=>_.dispose(u))}v0.score=v0.keypoints.reduce((x,f)=>f.score>x?f.score:x,0);let a=v0.keypoints.map(x=>x.position[0]),i=v0.keypoints.map(x=>x.position[1]);v0.box=[Math.min(...a),Math.min(...i),Math.max(...a)-Math.min(...a),Math.max(...i)-Math.min(...i)];let y=v0.keypoints.map(x=>x.positionRaw[0]),c=v0.keypoints.map(x=>x.positionRaw[1]);v0.boxRaw=[Math.min(...y),Math.min(...c),Math.max(...y)-Math.min(...y),Math.max(...c)-Math.min(...c)];for(let[x,f]of Object.entries(n1)){let u=[];for(let m=0;mb.part===f[m]),g=v0.keypoints.find(b=>b.part===f[m+1]);M&&g&&M.score>(t.body.minConfidence||0)&&g.score>(t.body.minConfidence||0)&&u.push([M.position,g.position])}v0.annotations[x]=u}r([v0])}))}var Z0=D(H());var $n=["angry","disgust","fear","happy","sad","surprise","neutral"],G0,$2=[],p3=0,u3=0,s1=Number.MAX_SAFE_INTEGER;async function h3(e){var t;return v.initial&&(G0=null),G0?e.debug&&p("cached model:",G0.modelUrl):G0=await G((t=e.face.emotion)==null?void 0:t.modelPath),G0}async function a1(e,t,o,n){var s,a;if(!G0)return[];let r=s1<(((s=t.face.emotion)==null?void 0:s.skipFrames)||0),A=(((a=t.face.emotion)==null?void 0:a.skipTime)||0)>h()-u3;return t.skipAllowed&&A&&r&&p3===n&&$2[o]&&$2[o].length>0?(s1++,$2[o]):(s1=0,new Promise(async i=>{var c,l;let y=[];if((c=t.face.emotion)!=null&&c.enabled){let x={},f=G0!=null&&G0.inputs[0].shape?G0.inputs[0].shape[2]:0;x.resize=Z0.image.resizeBilinear(e,[f,f],!1),x.channels=Z0.mul(x.resize,B.rgb),x.grayscale=Z0.sum(x.channels,3,!0),x.grayscaleSub=Z0.sub(x.grayscale,B.tf05),x.grayscaleMul=Z0.mul(x.grayscaleSub,B.tf2),x.emotion=G0==null?void 0:G0.execute(x.grayscaleMul),u3=h();let u=await x.emotion.data();for(let m=0;m(((l=t.face.emotion)==null?void 0:l.minConfidence)||0)&&y.push({score:Math.min(.99,Math.trunc(100*u[m])/100),emotion:$n[m]});y.sort((m,M)=>M.score-m.score),Object.keys(x).forEach(m=>Z0.dispose(x[m]))}$2[o]=y,p3=n,i(y)}))}var R3=D(H());var j0,i1=[],g3=0,P3=0,M3=Number.MAX_SAFE_INTEGER;async function v3(e){return v.initial&&(j0=null),j0?e.debug&&p("cached model:",j0.modelUrl):j0=await G(e.face.mobilefacenet.modelPath),j0}async function l1(e,t,o,n){var s,a;if(!j0)return[];let r=M3<(((s=t.face.embedding)==null?void 0:s.skipFrames)||0),A=(((a=t.face.embedding)==null?void 0:a.skipTime)||0)>h()-P3;return t.skipAllowed&&A&&r&&g3===n&&i1[o]?(M3++,i1[o]):new Promise(async i=>{var c;let y=[];if(((c=t.face.embedding)==null?void 0:c.enabled)&&(j0==null?void 0:j0.inputs[0].shape)){let l={};l.crop=R3.image.resizeBilinear(e,[j0.inputs[0].shape[2],j0.inputs[0].shape[1]],!1),l.data=j0==null?void 0:j0.execute(l.crop);let x=await l.data.data();y=Array.from(x)}i1[o]=y,g3=n,P3=h(),i(y)})}var $e=D(H());var X0=D(H());var le,ge=0,er=2.3,y1=D0.leftEyeLower0,x1=D0.rightEyeLower0,Qe={leftBounds:[y1[0],y1[y1.length-1]],rightBounds:[x1[0],x1[x1.length-1]]},_e={upperCenter:3,lowerCenter:4,index:71,numCoordinates:76};async function z3(e){var t;return v.initial&&(le=null),le?e.debug&&p("cached model:",le.modelUrl):le=await G((t=e.face.iris)==null?void 0:t.modelPath),ge=le.inputs[0].shape?le.inputs[0].shape[2]:0,ge===-1&&(ge=64),le}function e5(e,t,o,n){for(let r=0;r{let t=e[Qe.leftBounds[0]][2],o=e[Qe.rightBounds[0]][2];return t-o},w3=(e,t,o,n,r,A=!1)=>{let s=q2(X2(Zt([e[o],e[n]]),er)),a=Ue(s),i=X0.image.cropAndResize(t,[[s.startPoint[1]/r,s.startPoint[0]/r,s.endPoint[1]/r,s.endPoint[0]/r]],[0],[ge,ge]);if(A&&v.kernels.includes("flipleftright")){let y=X0.image.flipLeftRight(i);X0.dispose(i),i=y}return{box:s,boxSize:a,crop:i}},k3=(e,t,o,n=!1)=>{let r=[];for(let A=0;A<_e.numCoordinates;A++){let s=e[A*3],a=e[A*3+1],i=e[A*3+2];r.push([(n?1-s/ge:s/ge)*o[0]+t.startPoint[0],a/ge*o[1]+t.startPoint[1],i])}return{rawCoords:r,iris:r.slice(_e.index)}},E3=(e,t,o)=>{let n=e[D0[`${o}EyeUpper0`][_e.upperCenter]][2],r=e[D0[`${o}EyeLower0`][_e.lowerCenter]][2],A=(n+r)/2;return t.map((s,a)=>{let i=A;return a===2?i=n:a===4&&(i=r),[s[0],s[1],i]})};async function S3(e,t,o,n){if(!le)return o.debug&&p("face mesh iris detection requested, but model is not loaded"),e;let{box:r,boxSize:A,crop:s}=w3(e,t,Qe.leftBounds[0],Qe.leftBounds[1],n,!0),{box:a,boxSize:i,crop:y}=w3(e,t,Qe.rightBounds[0],Qe.rightBounds[1],n,!0),c=X0.concat([s,y]);X0.dispose(s),X0.dispose(y);let l=le.execute(c);X0.dispose(c);let x=await l.data();X0.dispose(l);let f=x.slice(0,_e.numCoordinates*3),{rawCoords:u,iris:m}=k3(f,r,A,!0),M=x.slice(_e.numCoordinates*3),{rawCoords:g,iris:b}=k3(M,a,i,!1),d=tr(e);Math.abs(d)<30?(e5(e,u,"left",null),e5(e,g,"right",null)):d<1?e5(e,u,"left",["EyeUpper0","EyeLower0"]):e5(e,g,"right",["EyeUpper0","EyeLower0"]);let P=E3(e,m,"left"),S=E3(e,b,"right");return e.concat(P).concat(S)}var or=[[61,146],[146,91],[91,181],[181,84],[84,17],[17,314],[314,405],[405,321],[321,375],[375,291],[61,185],[185,40],[40,39],[39,37],[37,0],[0,267],[267,269],[269,270],[270,409],[409,291],[78,95],[95,88],[88,178],[178,87],[87,14],[14,317],[317,402],[402,318],[318,324],[324,308],[78,191],[191,80],[80,81],[81,82],[82,13],[13,312],[312,311],[311,310],[310,415],[415,308]],nr=[[263,249],[249,390],[390,373],[373,374],[374,380],[380,381],[381,382],[382,362],[263,466],[466,388],[388,387],[387,386],[386,385],[385,384],[384,398],[398,362]],rr=[[276,283],[283,282],[282,295],[295,285],[300,293],[293,334],[334,296],[296,336]],Ar=[[474,475],[475,476],[476,477],[477,474]],sr=[[33,7],[7,163],[163,144],[144,145],[145,153],[153,154],[154,155],[155,133],[33,246],[246,161],[161,160],[160,159],[159,158],[158,157],[157,173],[173,133]],ar=[[46,53],[53,52],[52,65],[65,55],[70,63],[63,105],[105,66],[66,107]],ir=[[469,470],[470,471],[471,472],[472,469]],lr=[[10,338],[338,297],[297,332],[332,284],[284,251],[251,389],[389,356],[356,454],[454,323],[323,361],[361,288],[288,397],[397,365],[365,379],[379,378],[378,400],[400,377],[377,152],[152,148],[148,176],[176,149],[149,150],[150,136],[136,172],[172,58],[58,132],[132,93],[93,234],[234,127],[127,162],[162,21],[21,54],[54,103],[103,67],[67,109],[109,10]];function Pe(e){let t=e.map(o=>o[0]);return t.push(e[e.length-1][1]),t}var yr={lips:Pe(or),leftEye:Pe(nr),leftEyebrow:Pe(rr),leftIris:Pe(Ar),rightEye:Pe(sr),rightEyebrow:Pe(ar),rightIris:Pe(ir),faceOval:Pe(lr)},xr=Object.entries(yr).map(([e,t])=>t.map(o=>[o,e])).flat(),P7=new Map(xr),v2=[61,146,91,181,84,17,314,405,321,375,291,185,40,39,37,0,267,269,270,409,78,95,88,178,87,14,317,402,318,324,308,191,80,81,82,13,312,311,310,415,76,77,90,180,85,16,315,404,320,307,306,184,74,73,72,11,302,303,304,408,62,96,89,179,86,15,316,403,319,325,292,183,42,41,38,12,268,271,272,407],Oe=[33,7,163,144,145,153,154,155,133,246,161,160,159,158,157,173,130,25,110,24,23,22,26,112,243,247,30,29,27,28,56,190,226,31,228,229,230,231,232,233,244,113,225,224,223,222,221,189,35,124,46,53,52,65,143,111,117,118,119,120,121,128,245,156,70,63,105,66,107,55,193],Le=[263,249,390,373,374,380,381,382,362,466,388,387,386,385,384,398,359,255,339,254,253,252,256,341,463,467,260,259,257,258,286,414,446,261,448,449,450,451,452,453,464,342,445,444,443,442,441,413,265,353,276,283,282,295,372,340,346,347,348,349,350,357,465,383,300,293,334,296,336,285,417];async function I3(e,t){let o={lips:await t.filter(A=>A.size===160)[0].data(),irisL:await t.filter(A=>A.size===10)[0].data(),eyeL:await t.filter(A=>A.size===142)[0].data(),irisR:await t.filter(A=>A.size===10)[1].data(),eyeR:await t.filter(A=>A.size===142)[1].data()},n=Oe.reduce((A,s)=>A+=e[s][2],0)/Oe.length;for(let A=0;AA+=e[s][2],0)/Le.length;for(let A=0;Ah()-$0.timestamp,n=$0.skipped<(((i=t.face.detector)==null?void 0:i.skipFrames)||0);!t.skipAllowed||!o||!n||$0.boxes.length===0?($0.boxes=await $t(e,t),$0.timestamp=h(),$0.skipped=0):$0.skipped++;let r=[],A=[],s=0;for(let b=0;b<$0.boxes.length;b++){let d=$0.boxes[b],P=0,S,w={id:s++,mesh:[],meshRaw:[],box:[0,0,0,0],boxRaw:[0,0,0,0],score:0,boxScore:0,faceScore:0,annotations:{}};if([P,S,w.tensor]=Yt((y=t.face.detector)==null?void 0:y.rotation,d,e,(c=t.face.mesh)!=null&&c.enabled?We:Ye()),(l=t==null?void 0:t.filter)!=null&&l.equalization){let j=await I2(w.tensor);$e.dispose(w.tensor),w.tensor=j}if(w.boxScore=Math.round(100*d.confidence)/100,(x=t.face.mesh)!=null&&x.enabled)if(!b0)t.debug&&p("face mesh detection requested, but model is not loaded");else{let 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Object.keys(D0))w.annotations[E]=D0[E].map(W0=>w.mesh[W0]);w.score=w.faceScore;let V={...Kt(w.mesh,d),confidence:d.confidence,landmarks:d.landmarks};w.box=D2(V,e),w.boxRaw=Z2(V,e),A.push(V)}$e.dispose([...j,U])}else{w.box=D2(d,e),w.boxRaw=Z2(d,e),w.score=w.boxScore,w.mesh=d.landmarks.map(j=>[(d.startPoint[0]+d.endPoint[0])/2+(d.endPoint[0]+d.startPoint[0])*j[0]/Ye(),(d.startPoint[1]+d.endPoint[1])/2+(d.endPoint[1]+d.startPoint[1])*j[1]/Ye()]),w.meshRaw=w.mesh.map(j=>[j[0]/(e.shape[2]||0),j[1]/(e.shape[1]||0),(j[2]||0)/We]);for(let j of Object.keys(Ce))w.annotations[j]=[w.mesh[Ce[j]]]}w.score>(((g=t.face.detector)==null?void 0:g.minConfidence)||1)?r.push(w):$e.dispose(w.tensor)}return $0.boxes=A,r}async function O3(e){var t,o,n,r,A,s;return v.initial&&(b0=null),((o=(t=e==null?void 0:e.face)==null?void 0:t.attention)==null?void 0:o.enabled)&&(b0==null?void 0:b0.signature)&&Object.keys(((n=b0==null?void 0:b0.signature)==null?void 0:n.outputs)||{}).length<6&&(b0=null),b0?e.debug&&p("cached model:",b0.modelUrl):(r=e.face.attention)!=null&&r.enabled?b0=await G((A=e.face.attention)==null?void 0:A.modelPath):b0=await G((s=e.face.mesh)==null?void 0:s.modelPath),We=b0.inputs[0].shape?b0.inputs[0].shape[2]:0,b0}var L3=je,W3=P2;var q0=D(H());var I0,t5=[],F3=0,G3=0,d1=Number.MAX_SAFE_INTEGER;async function B3(e){var t;return v.initial&&(I0=null),I0?e.debug&&p("cached model:",I0.modelUrl):I0=await G((t=e.face.description)==null?void 0:t.modelPath),I0}function f1(e){let t=e.image||e.tensor||e;if(!(I0!=null&&I0.inputs[0].shape))return t;let o=q0.image.resizeBilinear(t,[I0.inputs[0].shape[2],I0.inputs[0].shape[1]],!1),n=q0.mul(o,B.tf255);return q0.dispose(o),n}async function m1(e,t,o,n){var s,a,i,y;if(!I0)return{age:0,gender:"unknown",genderScore:0,descriptor:[]};let r=d1<(((s=t.face.description)==null?void 0:s.skipFrames)||0),A=(((a=t.face.description)==null?void 0:a.skipTime)||0)>h()-F3;return t.skipAllowed&&r&&A&&G3===n&&((i=t5[o])==null?void 0:i.age)&&((y=t5[o])==null?void 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T0.all)o[T0.getName(n)]={curl:ve.getName(t.curls[n]),direction:o0.getName(t.directions[n])};return o}function so(e){let t=[];if(!e||e.length===0)return t;let o=Ao(e);for(let n of $3){let r=n.matchAgainst(o.curls,o.directions);r>=vr&&t.push({name:n.name,confidence:r})}return t}var ao={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]},n2,r2,io;async function P1(e,t){let o=await io.estimateHands(e,t);if(!o)return[];let n=[];for(let r=0;ro[r].landmarks[l]);let s=o[r].landmarks,a=[Number.MAX_SAFE_INTEGER,Number.MAX_SAFE_INTEGER,0,0],i=[0,0,0,0];if(s&&s.length>0){for(let c of s)c[0]a[2]&&(a[2]=c[0]),c[1]>a[3]&&(a[3]=c[1]);a[2]-=a[0],a[3]-=a[1],i=[a[0]/(e.shape[2]||0),a[1]/(e.shape[1]||0),a[2]/(e.shape[2]||0),a[3]/(e.shape[1]||0)]}else a=o[r].box?[Math.trunc(Math.max(0,o[r].box.topLeft[0])),Math.trunc(Math.max(0,o[r].box.topLeft[1])),Math.trunc(Math.min(e.shape[2]||0,o[r].box.bottomRight[0])-Math.max(0,o[r].box.topLeft[0])),Math.trunc(Math.min(e.shape[1]||0,o[r].box.bottomRight[1])-Math.max(0,o[r].box.topLeft[1]))]:[0,0,0,0],i=[o[r].box.topLeft[0]/(e.shape[2]||0),o[r].box.topLeft[1]/(e.shape[1]||0),(o[r].box.bottomRight[0]-o[r].box.topLeft[0])/(e.shape[2]||0),(o[r].box.bottomRight[1]-o[r].box.topLeft[1])/(e.shape[1]||0)];let y=a5(s);n.push({id:r,score:Math.round(100*o[r].confidence)/100,boxScore:Math.round(100*o[r].boxConfidence)/100,fingerScore:Math.round(100*o[r].fingerConfidence)/100,label:"hand",box:a,boxRaw:i,keypoints:s,annotations:A,landmarks:y})}return n}async function M1(e){var o,n;v.initial&&(n2=null,r2=null),!n2||!r2?[n2,r2]=await Promise.all([e.hand.enabled?G((o=e.hand.detector)==null?void 0:o.modelPath):null,e.hand.landmarks?G((n=e.hand.skeleton)==null?void 0:n.modelPath):null]):(e.debug&&p("cached model:",n2.modelUrl),e.debug&&p("cached model:",r2.modelUrl));let t=new A5(n2);return io=new s5(t,r2),[n2,r2]}var J=D(H());var c0=[null,null],Er=["StatefulPartitionedCall/Postprocessor/Slice","StatefulPartitionedCall/Postprocessor/ExpandDims_1"],Ee=[[0,0],[0,0]],zr=["hand","fist","pinch","point","face","tip","pinchtip"],yo=4,xo=1.6,Sr=512,Cr=1.4,i5=Number.MAX_SAFE_INTEGER,R1=0,ce=[0,0],A0={boxes:[],hands:[]},co={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],base:[0],palm:[0,17,13,9,5,1,0]};async function fo(e){var t;if(v.initial&&(c0[0]=null),c0[0])e.debug&&p("cached model:",c0[0].modelUrl);else{l5(["tensorlistreserve","enter","tensorlistfromtensor","merge","loopcond","switch","exit","tensorliststack","nextiteration","tensorlistsetitem","tensorlistgetitem","reciprocal","shape","split","where"],e),c0[0]=await G((t=e.hand.detector)==null?void 0:t.modelPath);let o=Object.values(c0[0].modelSignature.inputs);Ee[0][0]=Array.isArray(o)?parseInt(o[0].tensorShape.dim[1].size):0,Ee[0][1]=Array.isArray(o)?parseInt(o[0].tensorShape.dim[2].size):0}return c0[0]}async function mo(e){var t;if(v.initial&&(c0[1]=null),c0[1])e.debug&&p("cached model:",c0[1].modelUrl);else{c0[1]=await G((t=e.hand.skeleton)==null?void 0:t.modelPath);let o=Object.values(c0[1].modelSignature.inputs);Ee[1][0]=Array.isArray(o)?parseInt(o[0].tensorShape.dim[1].size):0,Ee[1][1]=Array.isArray(o)?parseInt(o[0].tensorShape.dim[2].size):0}return c0[1]}async function jr(e,t){let o=[];if(!e||!c0[0])return o;let n={},r=(e.shape[2]||1)/(e.shape[1]||1),A=Math.min(Math.round((e.shape[1]||0)/8)*8,Sr),s=Math.round(A*r/8)*8;n.resize=J.image.resizeBilinear(e,[A,s]),n.cast=J.cast(n.resize,"int32"),[n.rawScores,n.rawBoxes]=await c0[0].executeAsync(n.cast,Er),n.boxes=J.squeeze(n.rawBoxes,[0,2]),n.scores=J.squeeze(n.rawScores,[0]);let a=J.unstack(n.scores,1);J.dispose(a[yo]),a.splice(yo,1),n.filtered=J.stack(a,1),J.dispose(a),n.max=J.max(n.filtered,1),n.argmax=J.argMax(n.filtered,1);let i=0;n.nms=await J.image.nonMaxSuppressionAsync(n.boxes,n.max,(t.hand.maxDetected||0)+1,t.hand.iouThreshold||0,t.hand.minConfidence||1);let y=await n.nms.data(),c=await n.max.data(),l=await n.argmax.data();for(let x of Array.from(y)){let f=J.slice(n.boxes,x,1),u=await f.data();J.dispose(f);let m=[u[1],u[0],u[3]-u[1],u[2]-u[0]],M=K2(m,Cr),g=[Math.trunc(m[0]*ce[0]),Math.trunc(m[1]*ce[1]),Math.trunc(m[2]*ce[0]),Math.trunc(m[3]*ce[1])],b=c[x],d=zr[l[x]],P={id:i++,score:b,box:g,boxRaw:M,label:d};o.push(P)}return Object.keys(n).forEach(x=>J.dispose(n[x])),o.sort((x,f)=>f.score-x.score),o.length>(t.hand.maxDetected||1)&&(o.length=t.hand.maxDetected||1),o}async function v1(e,t,o){let n={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&&c0[1]&&o.hand.landmarks&&t.score>(o.hand.minConfidence||0)){let r={},A=[t.boxRaw[1],t.boxRaw[0],t.boxRaw[3]+t.boxRaw[1],t.boxRaw[2]+t.boxRaw[0]];r.crop=J.image.cropAndResize(e,[A],[0],[Ee[1][0],Ee[1][1]],"bilinear"),r.div=J.div(r.crop,B.tf255),[r.score,r.keypoints]=c0[1].execute(r.div,["Identity_1","Identity"]);let s=(await r.score.data())[0],a=(100-Math.trunc(100/(1+Math.exp(s))))/100;if(a>=(o.hand.minConfidence||0)){n.fingerScore=a,r.reshaped=J.reshape(r.keypoints,[-1,3]);let c=(await r.reshaped.array()).map(l=>[l[0]/Ee[1][1],l[1]/Ee[1][0],l[2]||0]).map(l=>[l[0]*t.boxRaw[2],l[1]*t.boxRaw[3],l[2]||0]);n.keypoints=c.map(l=>[ce[0]*(l[0]+t.boxRaw[0]),ce[1]*(l[1]+t.boxRaw[1]),l[2]||0]),n.landmarks=a5(n.keypoints);for(let l of Object.keys(co))n.annotations[l]=co[l].map(x=>n.landmarks&&n.keypoints[x]?n.keypoints[x]:null)}Object.keys(r).forEach(i=>J.dispose(r[i]))}return n}async function T1(e,t){var r,A;if(!c0[0]||!c0[1]||!((r=c0[0])!=null&&r.inputs[0].shape)||!((A=c0[1])!=null&&A.inputs[0].shape))return[];ce=[e.shape[2]||0,e.shape[1]||0],i5++;let o=(t.hand.skipTime||0)>h()-R1,n=i5<(t.hand.skipFrames||0);return t.skipAllowed&&o&&n?A0.hands:new Promise(async s=>{let a=3*(t.hand.skipTime||0)>h()-R1,i=i5<3*(t.hand.skipFrames||0);t.skipAllowed&&A0.hands.length===t.hand.maxDetected?A0.hands=await Promise.all(A0.boxes.map(c=>v1(e,c,t))):t.skipAllowed&&a&&i&&A0.hands.length>0?A0.hands=await Promise.all(A0.boxes.map(c=>v1(e,c,t))):(A0.boxes=await jr(e,t),R1=h(),A0.hands=await Promise.all(A0.boxes.map(c=>v1(e,c,t))),i5=0);let y=[...A0.boxes];if(A0.boxes.length=0,t.cacheSensitivity>0)for(let c=0;c.05&&l.box[3]/(e.shape[1]||1)>.05&&A0.hands[c].fingerScore&&A0.hands[c].fingerScore>(t.hand.minConfidence||0)){let x=K2(l.box,xo),f=K2(l.boxRaw,xo);A0.boxes.push({...y[c],box:x,boxRaw:f})}}for(let c=0;ch()-ho,A=w1<(((a=t.face.liveness)==null?void 0:a.skipFrames)||0);return t.skipAllowed&&r&&A&&uo===n&&y5[o]?(w1++,y5[o]):(w1=0,new Promise(async i=>{let y=x5.image.resizeBilinear(e,[g0!=null&&g0.inputs[0].shape?g0.inputs[0].shape[2]:0,g0!=null&&g0.inputs[0].shape?g0.inputs[0].shape[1]:0],!1),c=g0==null?void 0:g0.execute(y),l=(await c.data())[0];y5[o]=Math.round(100*l)/100,uo=n,ho=h(),x5.dispose([y,c]),i(y5[o])}))}var To=D(H());var w2={};Se(w2,{connected:()=>d5,horizontal:()=>E1,kpt:()=>c5,relative:()=>S1,vertical:()=>z1});var c5=["nose","leftEye","rightEye","leftEar","rightEar","leftShoulder","rightShoulder","leftElbow","rightElbow","leftWrist","rightWrist","leftHip","rightHip","leftKnee","rightKnee","leftAnkle","rightAnkle"],E1=[["leftEye","rightEye"],["leftEar","rightEar"],["leftShoulder","rightShoulder"],["leftElbow","rightElbow"],["leftWrist","rightWrist"],["leftHip","rightHip"],["leftKnee","rightKnee"],["leftAnkle","rightAnkle"]],z1=[["leftKnee","leftShoulder"],["rightKnee","rightShoulder"],["leftAnkle","leftKnee"],["rightAnkle","rightKnee"]],S1=[[["leftHip","rightHip"],["leftShoulder","rightShoulder"]],[["leftElbow","rightElbow"],["leftShoulder","rightShoulder"]]],d5={leftLeg:["leftHip","leftKnee","leftAnkle"],rightLeg:["rightHip","rightKnee","rightAnkle"],torso:["leftShoulder","rightShoulder","rightHip","leftHip","leftShoulder"],leftArm:["leftShoulder","leftElbow","leftWrist"],rightArm:["rightShoulder","rightElbow","rightWrist"],head:[]};var ze=D(H()),Po=.005,O0={keypoints:[],padding:[[0,0],[0,0],[0,0],[0,0]]};function C1(e){for(let t of E1){let o=e.keypoints.findIndex(r=>r.part===t[0]),n=e.keypoints.findIndex(r=>r.part===t[1]);if(e.keypoints[o]&&e.keypoints[n]&&e.keypoints[o].position[0]r&&r.part===t[0]),n=e.keypoints.findIndex(r=>r&&r.part===t[1]);e.keypoints[o]&&e.keypoints[n]&&e.keypoints[o].position[1]y&&y.part===t[0]),r=e.keypoints.findIndex(y=>y&&y.part===t[1]),A=e.keypoints.findIndex(y=>y&&y.part===o[0]),s=e.keypoints.findIndex(y=>y&&y.part===o[1]);if(!e.keypoints[A]||!e.keypoints[s])continue;let a=e.keypoints[n]?[Math.abs(e.keypoints[A].position[0]-e.keypoints[n].position[0]),Math.abs(e.keypoints[s].position[0]-e.keypoints[n].position[0])]:[0,0],i=e.keypoints[r]?[Math.abs(e.keypoints[s].position[0]-e.keypoints[r].position[0]),Math.abs(e.keypoints[A].position[0]-e.keypoints[r].position[0])]:[0,0];if(a[0]>a[1]||i[0]>i[1]){let y=e.keypoints[n];e.keypoints[n]=e.keypoints[r],e.keypoints[r]=y}}}function Mo(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]],o.pad=ze.pad(e,O0.padding),o.resize=ze.image.resizeBilinear(o.pad,[t,t]);let n=ze.cast(o.resize,"int32");return Object.keys(o).forEach(r=>ze.dispose(o[r])),n}function vo(e,t){e.keypoints=e.keypoints.filter(n=>n&&n.position);for(let n of e.keypoints)n.position=[n.position[0]*(t[0]+O0.padding[2][0]+O0.padding[2][1])/t[0]-O0.padding[2][0],n.position[1]*(t[1]+O0.padding[1][0]+O0.padding[1][1])/t[1]-O0.padding[1][0]],n.positionRaw=[n.position[0]/t[0],n.position[1]/t[1]];let o=ae(e.keypoints.map(n=>n.position),t);return e.box=o.box,e.boxRaw=o.boxRaw,e}var L0,f5=0,j1=Number.MAX_SAFE_INTEGER,He={boxes:[],bodies:[],last:0};async function wo(e){return v.initial&&(L0=null),L0?e.debug&&p("cached model:",L0.modelUrl):(l5(["size"],e),L0=await G(e.body.modelPath)),f5=L0.inputs[0].shape?L0.inputs[0].shape[2]:0,f5<64&&(f5=256),L0}async function Nr(e,t,o){let n=e[0][0],r=[],A=0;for(let c=0;ct.body.minConfidence){let l=[n[c][1],n[c][0]];r.push({score:Math.round(100*A)/100,part:c5[c],positionRaw:l,position:[Math.round((o.shape[2]||0)*l[0]),Math.round((o.shape[1]||0)*l[1])]})}A=r.reduce((c,l)=>l.score>c?l.score:c,0);let s=[],a=ae(r.map(c=>c.position),[o.shape[2],o.shape[1]]),i={};for(let[c,l]of Object.entries(d5)){let x=[];for(let f=0;fM.part===l[f]),m=r.find(M=>M.part===l[f+1]);u&&m&&u.score>(t.body.minConfidence||0)&&m.score>(t.body.minConfidence||0)&&x.push([u.position,m.position])}i[c]=x}let y={id:0,score:A,box:a.box,boxRaw:a.boxRaw,keypoints:r,annotations:i};return C1(y),s.push(y),s}async function Or(e,t,o){let n=[];for(let r=0;rt.body.minConfidence){let a=[];for(let l=0;l<17;l++){let x=A[3*l+2];if(x>t.body.minConfidence){let f=[A[3*l+1],A[3*l+0]];a.push({part:c5[l],score:Math.round(100*x)/100,positionRaw:f,position:[Math.round((o.shape[2]||0)*f[0]),Math.round((o.shape[1]||0)*f[1])]})}}let i=ae(a.map(l=>l.position),[o.shape[2],o.shape[1]]),y={};for(let[l,x]of Object.entries(d5)){let f=[];for(let u=0;ug.part===x[u]),M=a.find(g=>g.part===x[u+1]);m&&M&&m.score>(t.body.minConfidence||0)&&M.score>(t.body.minConfidence||0)&&f.push([m.position,M.position])}y[l]=f}let c={id:r,score:s,box:i.box,boxRaw:i.boxRaw,keypoints:[...a],annotations:y};C1(c),n.push(c)}}return n.sort((r,A)=>A.score-r.score),n.length>t.body.maxDetected&&(n.length=t.body.maxDetected),n}async function I1(e,t){if(!L0||!(L0!=null&&L0.inputs[0].shape))return[];t.skipAllowed||(He.boxes.length=0),j1++;let o=(t.body.skipTime||0)>h()-He.last,n=j1<(t.body.skipFrames||0);return t.skipAllowed&&o&&n?He.bodies:new Promise(async r=>{let A={};j1=0,A.input=Ro(e,f5),A.res=L0==null?void 0:L0.execute(A.input),He.last=h();let s=await A.res.array();He.bodies=A.res.shape[2]===17?await Nr(s,t,e):await Or(s,t,e);for(let a of He.bodies)vo(a,[e.shape[2]||1,e.shape[1]||1]),Mo(a.keypoints);Object.keys(A).forEach(a=>To.dispose(A[a])),r(He.bodies)})}var w0=D(H());var A2,m5=[],Eo=0,N1=Number.MAX_SAFE_INTEGER,u5=0,p5=2.5;async function zo(e){if(!A2||v.initial){A2=await G(e.object.modelPath);let t=Object.values(A2.modelSignature.inputs);u5=Array.isArray(t)?parseInt(t[0].tensorShape.dim[2].size):0}else e.debug&&p("cached model:",A2.modelUrl);return A2}async function Lr(e,t,o){let n=0,r=[];for(let i of[1,2,4])w0.tidy(async()=>{let y=i*13,c=w0.squeeze(e.find(m=>m.shape[1]===y**2&&(m.shape[2]||0)===Je.length)),l=w0.squeeze(e.find(m=>m.shape[1]===y**2&&(m.shape[2]||0)(o.object.minConfidence||0)&&M!==61){let b=(.5+Math.trunc(m%y))/y,d=(.5+Math.trunc(m/y))/y,P=f[m].map(K=>K*(y/i/u5)),[S,w]=[b-p5/i*P[0],d-p5/i*P[1]],[j,C]=[b+p5/i*P[2]-S,d+p5/i*P[3]-w],F=[S,w,j,C];F=F.map(K=>Math.max(0,Math.min(K,1)));let Q=[F[0]*t[0],F[1]*t[1],F[2]*t[0],F[3]*t[1]],U={id:n++,score:Math.round(100*g)/100,class:M+1,label:Je[M].label,box:Q.map(K=>Math.trunc(K)),boxRaw:F};r.push(U)}}});e.forEach(i=>w0.dispose(i));let A=r.map(i=>[i.boxRaw[1],i.boxRaw[0],i.boxRaw[3],i.boxRaw[2]]),s=r.map(i=>i.score),a=[];if(A&&A.length>0){let i=await w0.image.nonMaxSuppressionAsync(A,s,o.object.maxDetected,o.object.iouThreshold,o.object.minConfidence);a=await i.data(),w0.dispose(i)}return r=r.filter((i,y)=>a.includes(y)).sort((i,y)=>y.score-i.score),r}async function O1(e,t){let o=(t.object.skipTime||0)>h()-Eo,n=N1<(t.object.skipFrames||0);return t.skipAllowed&&o&&n&&m5.length>0?(N1++,m5):(N1=0,!v.kernels.includes("mod")||!v.kernels.includes("sparsetodense")?m5:new Promise(async r=>{let A=[e.shape[2]||0,e.shape[1]||0],s=w0.image.resizeBilinear(e,[u5,u5],!1),a=w0.div(s,B.tf255),i=a.transpose([0,3,1,2]);w0.dispose(a),w0.dispose(s);let y;t.object.enabled&&(y=A2.execute(i)),Eo=h(),w0.dispose(i);let c=await Lr(y,A,t);m5=c,r(c)}))}var k0=D(H());var E2=["nose","leftEye","rightEye","leftEar","rightEar","leftShoulder","rightShoulder","leftElbow","rightElbow","leftWrist","rightWrist","leftHip","rightHip","leftKnee","rightKnee","leftAnkle","rightAnkle"],Wr=E2.length,k2=E2.reduce((e,t,o)=>(e[t]=o,e),{}),Fr=[["leftHip","leftShoulder"],["leftElbow","leftShoulder"],["leftElbow","leftWrist"],["leftHip","leftKnee"],["leftKnee","leftAnkle"],["rightHip","rightShoulder"],["rightElbow","rightShoulder"],["rightElbow","rightWrist"],["rightHip","rightKnee"],["rightKnee","rightAnkle"],["leftShoulder","rightShoulder"],["leftHip","rightHip"]],i4=Fr.map(([e,t])=>[k2[e],k2[t]]),Co=[["nose","leftEye"],["leftEye","leftEar"],["nose","rightEye"],["rightEye","rightEar"],["nose","leftShoulder"],["leftShoulder","leftElbow"],["leftElbow","leftWrist"],["leftShoulder","leftHip"],["leftHip","leftKnee"],["leftKnee","leftAnkle"],["nose","rightShoulder"],["rightShoulder","rightElbow"],["rightElbow","rightWrist"],["rightShoulder","rightHip"],["rightHip","rightKnee"],["rightKnee","rightAnkle"]];function jo(e){let t=e.reduce(({maxX:o,maxY:n,minX:r,minY:A},{position:{x:s,y:a}})=>({maxX:Math.max(o,s),maxY:Math.max(n,a),minX:Math.min(r,s),minY:Math.min(A,a)}),{maxX:Number.NEGATIVE_INFINITY,maxY:Number.NEGATIVE_INFINITY,minX:Number.POSITIVE_INFINITY,minY:Number.POSITIVE_INFINITY});return[t.minX,t.minY,t.maxX-t.minX,t.maxY-t.minY]}function Io(e,[t,o],[n,r]){let A=t/n,s=o/r,a=(y,c)=>({id:c,score:y.score,boxRaw:[y.box[0]/r,y.box[1]/n,y.box[2]/r,y.box[3]/n],box:[Math.trunc(y.box[0]*s),Math.trunc(y.box[1]*A),Math.trunc(y.box[2]*s),Math.trunc(y.box[3]*A)],keypoints:y.keypoints.map(({score:l,part:x,position:f})=>({score:l,part:x,position:[Math.trunc(f.x*s),Math.trunc(f.y*A)],positionRaw:[f.x/n,f.y/n]})),annotations:{}});return e.map((y,c)=>a(y,c))}var h5=class{constructor(t,o){T(this,"priorityQueue");T(this,"numberOfElements");T(this,"getElementValue");this.priorityQueue=new 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Ue=e=>[Math.abs(e.endPoint[0]-e.startPoint[0]),Math.abs(e.endPoint[1]-e.startPoint[1])],V2=e=>[e.startPoint[0]+(e.endPoint[0]-e.startPoint[0])/2,e.startPoint[1]+(e.endPoint[1]-e.startPoint[1])/2,1],D2=(e,t)=>e?[Math.trunc(Math.max(0,e.startPoint[0])),Math.trunc(Math.max(0,e.startPoint[1])),Math.trunc(Math.min(t.shape[2]||0,e.endPoint[0])-Math.max(0,e.startPoint[0])),Math.trunc(Math.min(t.shape[1]||0,e.endPoint[1])-Math.max(0,e.startPoint[1]))]:[0,0,0,0],Z2=(e,t)=>e?[e.startPoint[0]/(t.shape[2]||0),e.startPoint[1]/(t.shape[1]||0),(e.endPoint[0]-e.startPoint[0])/(t.shape[2]||0),(e.endPoint[1]-e.startPoint[1])/(t.shape[1]||0)]:[0,0,0,0],Dt=(e,t)=>{let o=[e.startPoint[0]*t[0],e.startPoint[1]*t[1]],n=[e.endPoint[0]*t[0],e.endPoint[1]*t[1]];return{startPoint:o,endPoint:n,landmarks:e.landmarks,confidence:e.confidence}},q5=(e,t,o)=>{let n=t.shape[1],r=t.shape[2],A=[e.startPoint[1]/n,e.startPoint[0]/r,e.endPoint[1]/n,e.endPoint[0]/r],s=se.image.cropAndResize(t,[A],[0],o),a=se.div(s,B.tf255);return se.dispose(s),a},X2=(e,t)=>{let o=V2(e),n=Ue(e),r=[t*n[0]/2,t*n[1]/2];return{startPoint:[o[0]-r[0],o[1]-r[1]],endPoint:[o[0]+r[0],o[1]+r[1]],landmarks:e.landmarks,confidence:e.confidence}},q2=e=>{let t=V2(e),o=Ue(e),n=Math.max(...o)/2;return{startPoint:[Math.round(t[0]-n),Math.round(t[1]-n)],endPoint:[Math.round(t[0]+n),Math.round(t[1]+n)],landmarks:e.landmarks,confidence:e.confidence}},Zt=e=>{let t=e.map(n=>n[0]),o=e.map(n=>n[1]);return{startPoint:[Math.min(...t),Math.min(...o)],endPoint:[Math.max(...t),Math.max(...o)],landmarks:e}},U5=[[1,0,0],[0,1,0],[0,0,1]],On=e=>e-2*Math.PI*Math.floor((e+Math.PI)/(2*Math.PI)),Ln=(e,t)=>On(Math.PI/2-Math.atan2(-(t[1]-e[1]),t[0]-e[0]));var Ht=(e,t)=>[[1,0,e],[0,1,t],[0,0,1]],Ie=(e,t)=>{let o=0;for(let n=0;n{let o=[];for(let n=0;n{let o=[],n=e.length;for(let r=0;r{let 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y=V2(t),c=[y[0]/o.shape[2],y[1]/o.shape[1]],l=se.image.rotateWithOffset(o,A,0,c);s=Xt(-A,y),a=q5(t,l,[n,n]),se.dispose(l)}else a=q5(t,o,[n,n]);else a=q5(t,o,[n,n]);return[A,s,a]}var Bn=e=>{let t=e.map(n=>n[0]),o=e.map(n=>n[1]);return[Math.min(...t)+(Math.max(...t)-Math.min(...t))/2,Math.min(...o)+(Math.max(...o)-Math.min(...o))/2]},Kt=(e,t)=>{let o=Bn(e),n=Ue(t);return{startPoint:[o[0]-n[0]/2,o[1]-n[1]/2],endPoint:[o[0]+n[0]/2,o[1]+n[1]/2]}};var Jt=6,Hn=1.4,_0,Qt=null,he=0,M2=null,Ye=()=>he;async function _t(e){var t;return v.initial&&(_0=null),_0?e.debug&&p("cached model:",_0.modelUrl):_0=await G((t=e.face.detector)==null?void 0:t.modelPath),he=_0.inputs[0].shape?_0.inputs[0].shape[2]:0,M2=O.scalar(he,"int32"),Qt=O.tensor2d(qt(he)),_0}function Vn(e){let t={};t.boxStarts=O.slice(e,[0,1],[-1,2]),t.centers=O.add(t.boxStarts,Qt),t.boxSizes=O.slice(e,[0,3],[-1,2]),t.boxSizesNormalized=O.div(t.boxSizes,M2),t.centersNormalized=O.div(t.centers,M2),t.halfBoxSize=O.div(t.boxSizesNormalized,B.tf2),t.starts=O.sub(t.centersNormalized,t.halfBoxSize),t.ends=O.add(t.centersNormalized,t.halfBoxSize),t.startNormalized=O.mul(t.starts,M2),t.endNormalized=O.mul(t.ends,M2);let o=O.concat2d([t.startNormalized,t.endNormalized],1);return Object.keys(t).forEach(n=>O.dispose(t[n])),o}async function $t(e,t){var a,i,y,c;if(!e||e.isDisposedInternal||e.shape.length!==4||e.shape[1]<1||e.shape[2]<1)return[];let o={};o.resized=O.image.resizeBilinear(e,[he,he]),o.div=O.div(o.resized,B.tf127),o.normalized=O.sub(o.div,B.tf05);let n=_0==null?void 0:_0.execute(o.normalized);if(Array.isArray(n)&&n.length>2){let l=n.sort((x,f)=>x.size-f.size);o.concat384=O.concat([l[0],l[2]],2),o.concat512=O.concat([l[1],l[3]],2),o.concat=O.concat([o.concat512,o.concat384],1),o.batch=O.squeeze(o.concat,0)}else Array.isArray(n)?o.batch=O.squeeze(n[0]):o.batch=O.squeeze(n);O.dispose(n),o.boxes=Vn(o.batch),o.logits=O.slice(o.batch,[0,0],[-1,1]),o.sigmoid=O.sigmoid(o.logits),o.scores=O.squeeze(o.sigmoid),o.nms=await O.image.nonMaxSuppressionAsync(o.boxes,o.scores,((a=t.face.detector)==null?void 0:a.maxDetected)||0,((i=t.face.detector)==null?void 0:i.iouThreshold)||0,((y=t.face.detector)==null?void 0:y.minConfidence)||0);let r=await o.nms.array(),A=[],s=await o.scores.data();for(let l=0;l(((c=t.face.detector)==null?void 0:c.minConfidence)||0)){let f={};f.bbox=O.slice(o.boxes,[r[l],0],[1,-1]),f.slice=O.slice(o.batch,[r[l],Jt-1],[1,-1]),f.squeeze=O.squeeze(f.slice),f.landmarks=O.reshape(f.squeeze,[Jt,-1]);let u=await f.bbox.data(),m={startPoint:[u[0],u[1]],endPoint:[u[2],u[3]],landmarks:await f.landmarks.array(),confidence:x},M=Dt(m,[(e.shape[2]||0)/he,(e.shape[1]||0)/he]),g=X2(M,t.face.scale||Hn),b=q2(g);A.push(b),Object.keys(f).forEach(d=>O.dispose(f[d]))}}return Object.keys(o).forEach(l=>O.dispose(o[l])),A}var C0=D(H());var U2={};Se(U2,{connected:()=>J5,kpt:()=>K5});var K5=["nose","leftEyeInside","leftEye","leftEyeOutside","rightEyeInside","rightEye","rightEyeOutside","leftEar","rightEar","leftMouth","rightMouth","leftShoulder","rightShoulder","leftElbow","rightElbow","leftWrist","rightWrist","leftPinky","rightPinky","leftIndex","rightIndex","leftThumb","rightThumb","leftHip","rightHip","leftKnee","rightKnee","leftAnkle","rightAnkle","leftHeel","rightHeel","leftFoot","rightFoot","bodyCenter","bodyTop","leftPalm","leftHand","rightPalm","rightHand"],J5={shoulders:["leftShoulder","rightShoulder"],hips:["rightHip","leftHip"],mouth:["leftMouth","rightMouth"],leftLegUpper:["leftHip","leftKnee"],leftLegLower:["leftKnee","leftAnkle"],leftFoot:["leftAnkle","leftHeel","leftFoot"],leftTorso:["leftShoulder","leftHip"],leftArmUpper:["leftShoulder","leftElbow"],leftArmLower:["leftElbow","leftWrist"],leftHand:["leftWrist","leftPalm"],leftHandPinky:["leftPalm","leftPinky"],leftHandIndex:["leftPalm","leftIndex"],leftHandThumb:["leftPalm","leftThumb"],leftEyeOutline:["leftEyeInside","leftEyeOutside"],rightLegUpper:["rightHip","rightKnee"],rightLegLower:["rightKnee","rightAnkle"],rightFoot:["rightAnkle","rightHeel","rightFoot"],rightTorso:["rightShoulder","rightHip"],rightArmUpper:["rightShoulder","rightElbow"],rightArmLower:["rightElbow","rightWrist"],rightHand:["rightWrist","rightPalm"],rightHandPinky:["rightPalm","rightPinky"],rightHandIndex:["rightPalm","rightIndex"],rightHandThumb:["rightPalm","rightThumb"],rightEyeOutline:["rightEyeInside","rightEyeOutside"]};var z0=D(H()),t3=224,Dn,Zn=5,Y2=[8,16,32,32,32];async function o3(){let e=[],t=0;for(;to.x)),y:z0.tensor1d(e.map(o=>o.y))}}function ae(e,t=[1,1]){let o=[e.map(a=>a[0]),e.map(a=>a[1])],n=[Math.min(...o[0]),Math.min(...o[1])],r=[Math.max(...o[0]),Math.max(...o[1])],A=[n[0],n[1],r[0]-n[0],r[1]-n[1]],s=[A[0]/t[0],A[1]/t[1],A[2]/t[0],A[3]/t[1]];return{box:A,boxRaw:s}}function n3(e,t=[1,1]){let o=[e.map(y=>y[0]),e.map(y=>y[1])],n=[Math.min(...o[0]),Math.min(...o[1])],r=[Math.max(...o[0]),Math.max(...o[1])],A=[(n[0]+r[0])/2,(n[1]+r[1])/2],s=Math.max(A[0]-n[0],A[1]-n[1],-A[0]+r[0],-A[1]+r[1]),a=[Math.trunc(A[0]-s),Math.trunc(A[1]-s),Math.trunc(2*s),Math.trunc(2*s)],i=[a[0]/t[0],a[1]/t[1],a[2]/t[0],a[3]/t[1]];return{box:a,boxRaw:i}}function K2(e,t){let o=[e[2]*t,e[3]*t];return[e[0]-(o[0]-e[2])/2,e[1]-(o[1]-e[3])/2,o[0],o[1]]}var s3={initial:!0},S0={detector:null,landmarks:null},Ke={detector:[224,224],landmarks:[256,256]},Q5=Number.MAX_SAFE_INTEGER,qn={landmarks:["ld_3d","activation_segmentation","activation_heatmap","world_3d","output_poseflag"],detector:[]},Q2=null,R2,be=[[0,0],[0,0],[0,0],[0,0]],r3=0,A3=e=>1-1/(1+Math.exp(e));async function a3(e){if(s3.initial&&(S0.detector=null),!S0.detector&&e.body.detector&&e.body.detector.modelPath){S0.detector=await G(e.body.detector.modelPath);let t=Object.values(S0.detector.modelSignature.inputs);Ke.detector[0]=Array.isArray(t)?parseInt(t[0].tensorShape.dim[1].size):0,Ke.detector[1]=Array.isArray(t)?parseInt(t[0].tensorShape.dim[2].size):0}else e.debug&&S0.detector&&p("cached model:",S0.detector.modelUrl);return await o3(),S0.detector}async function i3(e){if(s3.initial&&(S0.landmarks=null),S0.landmarks)e.debug&&p("cached model:",S0.landmarks.modelUrl);else{S0.landmarks=await G(e.body.modelPath);let t=Object.values(S0.landmarks.modelSignature.inputs);Ke.landmarks[0]=Array.isArray(t)?parseInt(t[0].tensorShape.dim[1].size):0,Ke.landmarks[1]=Array.isArray(t)?parseInt(t[0].tensorShape.dim[2].size):0}return S0.landmarks}async function Un(e,t){let o={};if(!e.shape||!e.shape[1]||!e.shape[2])return e;let n;if(R2&&(o.cropped=C0.image.cropAndResize(e,[R2],[0],[e.shape[1],e.shape[2]])),e.shape[1]!==e.shape[2]){let r=[e.shape[2]>e.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],A=[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];be=[[0,0],r,A,[0,0]],o.pad=C0.pad(o.cropped||e,be),o.resize=C0.image.resizeBilinear(o.pad,[t,t]),n=C0.div(o.resize,B.tf255)}else e.shape[1]!==t?(o.resize=C0.image.resizeBilinear(o.cropped||e,[t,t]),n=C0.div(o.resize,B.tf255)):n=C0.div(o.cropped||e,B.tf255);return Object.keys(o).forEach(r=>C0.dispose(o[r])),n}function Yn(e,t){for(let o of e)o.position=[Math.trunc(o.position[0]*(t[0]+be[2][0]+be[2][1])/t[0]-be[2][0]),Math.trunc(o.position[1]*(t[1]+be[1][0]+be[1][1])/t[1]-be[1][0]),o.position[2]],o.positionRaw=[o.position[0]/t[0],o.position[1]/t[1],2*o.position[2]/(t[0]+t[1])];if(R2)for(let o of e)o.positionRaw=[o.positionRaw[0]+R2[1],o.positionRaw[1]+R2[0],o.positionRaw[2]],o.position=[Math.trunc(o.positionRaw[0]*t[0]),Math.trunc(o.positionRaw[1]*t[1]),o.positionRaw[2]];return e}async function Kn(e){let t=e.find(a=>a.part==="leftPalm"),o=e.find(a=>a.part==="leftWrist"),n=e.find(a=>a.part==="leftIndex");t.position[2]=((o.position[2]||0)+(n.position[2]||0))/2;let r=e.find(a=>a.part==="rightPalm"),A=e.find(a=>a.part==="rightWrist"),s=e.find(a=>a.part==="rightIndex");r.position[2]=((A.position[2]||0)+(s.position[2]||0))/2}async function Jn(e,t,o){var u;let n={};[n.ld,n.segmentation,n.heatmap,n.world,n.poseflag]=(u=S0.landmarks)==null?void 0:u.execute(e,qn.landmarks);let r=(await n.poseflag.data())[0],A=await n.ld.data(),s=await n.world.data();Object.keys(n).forEach(m=>C0.dispose(n[m]));let a=[],i=5;for(let m=0;mm.position),l=ae(c,[o[0],o[1]]),x={};for(let[m,M]of Object.entries(J5)){let g=[];for(let b=0;bS.part===M[b]),P=y.find(S=>S.part===M[b+1]);d&&P&&g.push([d.position,P.position])}x[m]=g}return{id:0,score:Math.trunc(100*r)/100,box:l.box,boxRaw:l.boxRaw,keypoints:y,annotations:x}}async function _5(e,t){let o=[e.shape[2]||0,e.shape[1]||0],n=(t.body.skipTime||0)>h()-r3,r=Q5<(t.body.skipFrames||0);if(t.skipAllowed&&n&&r&&Q2!==null)Q5++;else{let A={};A.landmarks=await Un(e,256),Q2=await Jn(A.landmarks,t,o),Object.keys(A).forEach(s=>C0.dispose(A[s])),r3=h(),Q5=0}return Q2?[Q2]:[]}var R0=D(H());var Je=[{class:1,label:"person"},{class:2,label:"bicycle"},{class:3,label:"car"},{class:4,label:"motorcycle"},{class:5,label:"airplane"},{class:6,label:"bus"},{class:7,label:"train"},{class:8,label:"truck"},{class:9,label:"boat"},{class:10,label:"traffic 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glass"},{class:42,label:"cup"},{class:43,label:"fork"},{class:44,label:"knife"},{class:45,label:"spoon"},{class:46,label:"bowl"},{class:47,label:"banana"},{class:48,label:"apple"},{class:49,label:"sandwich"},{class:50,label:"orange"},{class:51,label:"broccoli"},{class:52,label:"carrot"},{class:53,label:"hot dog"},{class:54,label:"pizza"},{class:55,label:"donut"},{class:56,label:"cake"},{class:57,label:"chair"},{class:58,label:"couch"},{class:59,label:"potted plant"},{class:60,label:"bed"},{class:61,label:"dining table"},{class:62,label:"toilet"},{class:63,label:"tv"},{class:64,label:"laptop"},{class:65,label:"mouse"},{class:66,label:"remote"},{class:67,label:"keyboard"},{class:68,label:"cell phone"},{class:69,label:"microwave"},{class:70,label:"oven"},{class:71,label:"toaster"},{class:72,label:"sink"},{class:73,label:"refrigerator"},{class:74,label:"book"},{class:75,label:"clock"},{class:76,label:"vase"},{class:77,label:"scissors"},{class:78,label:"teddy bear"},{class:79,label:"hair drier"},{class:80,label:"toothbrush"}];var ie,Ne=0,$5=[],y3=0,e1=Number.MAX_SAFE_INTEGER;async function x3(e){if(v.initial&&(ie=null),ie)e.debug&&p("cached model:",ie.modelUrl);else{ie=await G(e.object.modelPath);let t=Object.values(ie.modelSignature.inputs);Ne=Array.isArray(t)?parseInt(t[0].tensorShape.dim[2].size):0}return ie}async function Qn(e,t,o){if(!e)return[];let n={},r=[],A=await e.array();n.squeeze=R0.squeeze(e);let s=R0.split(n.squeeze,6,1);n.stack=R0.stack([s[1],s[0],s[3],s[2]],1),n.boxes=R0.squeeze(n.stack),n.scores=R0.squeeze(s[4]),n.classes=R0.squeeze(s[5]),R0.dispose([e,...s]),n.nms=await R0.image.nonMaxSuppressionAsync(n.boxes,n.scores,o.object.maxDetected,o.object.iouThreshold,o.object.minConfidence||0);let a=await n.nms.data(),i=0;for(let y of Array.from(a)){let c=Math.trunc(100*A[0][y][4])/100,l=A[0][y][5],x=Je[l].label,[f,u]=[A[0][y][0]/Ne,A[0][y][1]/Ne],m=[f,u,A[0][y][2]/Ne-f,A[0][y][3]/Ne-u],M=[Math.trunc(m[0]*t[0]),Math.trunc(m[1]*t[1]),Math.trunc(m[2]*t[0]),Math.trunc(m[3]*t[1])];r.push({id:i++,score:c,class:l,label:x,box:M,boxRaw:m})}return Object.keys(n).forEach(y=>R0.dispose(n[y])),r}async function t1(e,t){let o=(t.object.skipTime||0)>h()-y3,n=e1<(t.object.skipFrames||0);return t.skipAllowed&&o&&n&&$5.length>0?(e1++,$5):(e1=0,new Promise(async r=>{let A=[e.shape[2]||0,e.shape[1]||0],s=R0.image.resizeBilinear(e,[Ne,Ne]),a=t.object.enabled?ie==null?void 0:ie.execute(s,["tower_0/detections"]):null;y3=h(),R0.dispose(s);let i=await Qn(a,A,t);$5=i,r(i)}))}var _=D(H());var _2={};Se(_2,{connected:()=>n1,kpt:()=>o1});var o1=["head","neck","rightShoulder","rightElbow","rightWrist","chest","leftShoulder","leftElbow","leftWrist","bodyCenter","rightHip","rightKnee","rightAnkle","leftHip","leftKnee","leftAnkle"],n1={leftLeg:["leftHip","leftKnee","leftAnkle"],rightLeg:["rightHip","rightKnee","rightAnkle"],torso:["leftShoulder","rightShoulder","rightHip","leftHip","leftShoulder"],leftArm:["leftShoulder","leftElbow","leftWrist"],rightArm:["rightShoulder","rightElbow","rightWrist"],head:[]};var h0,d3=0,v0={id:0,keypoints:[],box:[0,0,0,0],boxRaw:[0,0,0,0],score:0,annotations:{}},r1=Number.MAX_SAFE_INTEGER;async function f3(e){return v.initial&&(h0=null),h0?e.debug&&p("cached model:",h0.modelUrl):h0=await G(e.body.modelPath),h0}async function _n(e,t){let[o,n]=e.shape,r=_.reshape(e,[n*o]),A=_.max(r,0),s=(await A.data())[0];if(_.dispose([r,A]),s>t){let a=_.argMax(r,0),i=_.mod(a,o),y=(await i.data())[0],c=_.div(a,_.scalar(o,"int32")),l=(await c.data())[0];return _.dispose([i,c]),[y,l,s]}return[0,0,s]}async function A1(e,t){let o=(t.body.skipTime||0)>h()-d3,n=r1<(t.body.skipFrames||0);return t.skipAllowed&&o&&n&&Object.keys(v0.keypoints).length>0?(r1++,[v0]):(r1=0,new Promise(async r=>{var l;let A=_.tidy(()=>{if(!(h0!=null&&h0.inputs[0].shape))return null;let x=_.image.resizeBilinear(e,[h0.inputs[0].shape[2],h0.inputs[0].shape[1]],!1),f=_.mul(x,B.tf2);return _.sub(f,B.tf1)}),s;if(t.body.enabled&&(s=h0==null?void 0:h0.execute(A)),d3=h(),_.dispose(A),s){v0.keypoints.length=0;let x=s.squeeze();_.dispose(s);let f=x.unstack(2);_.dispose(x);for(let u=0;u(((l=t.body)==null?void 0:l.minConfidence)||0)&&v0.keypoints.push({score:Math.round(100*g)/100,part:o1[u],positionRaw:[m/h0.inputs[0].shape[2],M/h0.inputs[0].shape[1]],position:[Math.round(e.shape[2]*m/h0.inputs[0].shape[2]),Math.round(e.shape[1]*M/h0.inputs[0].shape[1])]})}f.forEach(u=>_.dispose(u))}v0.score=v0.keypoints.reduce((x,f)=>f.score>x?f.score:x,0);let a=v0.keypoints.map(x=>x.position[0]),i=v0.keypoints.map(x=>x.position[1]);v0.box=[Math.min(...a),Math.min(...i),Math.max(...a)-Math.min(...a),Math.max(...i)-Math.min(...i)];let y=v0.keypoints.map(x=>x.positionRaw[0]),c=v0.keypoints.map(x=>x.positionRaw[1]);v0.boxRaw=[Math.min(...y),Math.min(...c),Math.max(...y)-Math.min(...y),Math.max(...c)-Math.min(...c)];for(let[x,f]of Object.entries(n1)){let u=[];for(let m=0;mb.part===f[m]),g=v0.keypoints.find(b=>b.part===f[m+1]);M&&g&&M.score>(t.body.minConfidence||0)&&g.score>(t.body.minConfidence||0)&&u.push([M.position,g.position])}v0.annotations[x]=u}r([v0])}))}var Z0=D(H());var $n=["angry","disgust","fear","happy","sad","surprise","neutral"],G0,$2=[],p3=0,u3=0,s1=Number.MAX_SAFE_INTEGER;async function h3(e){var t;return v.initial&&(G0=null),G0?e.debug&&p("cached model:",G0.modelUrl):G0=await G((t=e.face.emotion)==null?void 0:t.modelPath),G0}async function a1(e,t,o,n){var s,a;if(!G0)return[];let r=s1<(((s=t.face.emotion)==null?void 0:s.skipFrames)||0),A=(((a=t.face.emotion)==null?void 0:a.skipTime)||0)>h()-u3;return t.skipAllowed&&A&&r&&p3===n&&$2[o]&&$2[o].length>0?(s1++,$2[o]):(s1=0,new Promise(async i=>{var c,l;let y=[];if((c=t.face.emotion)!=null&&c.enabled){let x={},f=G0!=null&&G0.inputs[0].shape?G0.inputs[0].shape[2]:0;x.resize=Z0.image.resizeBilinear(e,[f,f],!1),x.channels=Z0.mul(x.resize,B.rgb),x.grayscale=Z0.sum(x.channels,3,!0),x.grayscaleSub=Z0.sub(x.grayscale,B.tf05),x.grayscaleMul=Z0.mul(x.grayscaleSub,B.tf2),x.emotion=G0==null?void 0:G0.execute(x.grayscaleMul),u3=h();let u=await x.emotion.data();for(let m=0;m(((l=t.face.emotion)==null?void 0:l.minConfidence)||0)&&y.push({score:Math.min(.99,Math.trunc(100*u[m])/100),emotion:$n[m]});y.sort((m,M)=>M.score-m.score),Object.keys(x).forEach(m=>Z0.dispose(x[m]))}$2[o]=y,p3=n,i(y)}))}var R3=D(H());var j0,i1=[],g3=0,P3=0,M3=Number.MAX_SAFE_INTEGER;async function v3(e){return v.initial&&(j0=null),j0?e.debug&&p("cached model:",j0.modelUrl):j0=await G(e.face.mobilefacenet.modelPath),j0}async function l1(e,t,o,n){var s,a;if(!j0)return[];let r=M3<(((s=t.face.embedding)==null?void 0:s.skipFrames)||0),A=(((a=t.face.embedding)==null?void 0:a.skipTime)||0)>h()-P3;return t.skipAllowed&&A&&r&&g3===n&&i1[o]?(M3++,i1[o]):new Promise(async i=>{var c;let y=[];if(((c=t.face.embedding)==null?void 0:c.enabled)&&(j0==null?void 0:j0.inputs[0].shape)){let l={};l.crop=R3.image.resizeBilinear(e,[j0.inputs[0].shape[2],j0.inputs[0].shape[1]],!1),l.data=j0==null?void 0:j0.execute(l.crop);let x=await l.data.data();y=Array.from(x)}i1[o]=y,g3=n,P3=h(),i(y)})}var $e=D(H());var X0=D(H());var le,ge=0,er=2.3,y1=D0.leftEyeLower0,x1=D0.rightEyeLower0,Qe={leftBounds:[y1[0],y1[y1.length-1]],rightBounds:[x1[0],x1[x1.length-1]]},_e={upperCenter:3,lowerCenter:4,index:71,numCoordinates:76};async function z3(e){var t;return v.initial&&(le=null),le?e.debug&&p("cached model:",le.modelUrl):le=await G((t=e.face.iris)==null?void 0:t.modelPath),ge=le.inputs[0].shape?le.inputs[0].shape[2]:0,ge===-1&&(ge=64),le}function e5(e,t,o,n){for(let r=0;r{let t=e[Qe.leftBounds[0]][2],o=e[Qe.rightBounds[0]][2];return t-o},w3=(e,t,o,n,r,A=!1)=>{let s=q2(X2(Zt([e[o],e[n]]),er)),a=Ue(s),i=X0.image.cropAndResize(t,[[s.startPoint[1]/r,s.startPoint[0]/r,s.endPoint[1]/r,s.endPoint[0]/r]],[0],[ge,ge]);if(A&&v.kernels.includes("flipleftright")){let y=X0.image.flipLeftRight(i);X0.dispose(i),i=y}return{box:s,boxSize:a,crop:i}},k3=(e,t,o,n=!1)=>{let r=[];for(let A=0;A<_e.numCoordinates;A++){let s=e[A*3],a=e[A*3+1],i=e[A*3+2];r.push([(n?1-s/ge:s/ge)*o[0]+t.startPoint[0],a/ge*o[1]+t.startPoint[1],i])}return{rawCoords:r,iris:r.slice(_e.index)}},E3=(e,t,o)=>{let n=e[D0[`${o}EyeUpper0`][_e.upperCenter]][2],r=e[D0[`${o}EyeLower0`][_e.lowerCenter]][2],A=(n+r)/2;return t.map((s,a)=>{let i=A;return a===2?i=n:a===4&&(i=r),[s[0],s[1],i]})};async function S3(e,t,o,n){if(!le)return o.debug&&p("face mesh iris detection requested, but model is not loaded"),e;let{box:r,boxSize:A,crop:s}=w3(e,t,Qe.leftBounds[0],Qe.leftBounds[1],n,!0),{box:a,boxSize:i,crop:y}=w3(e,t,Qe.rightBounds[0],Qe.rightBounds[1],n,!0),c=X0.concat([s,y]);X0.dispose(s),X0.dispose(y);let l=le.execute(c);X0.dispose(c);let x=await l.data();X0.dispose(l);let f=x.slice(0,_e.numCoordinates*3),{rawCoords:u,iris:m}=k3(f,r,A,!0),M=x.slice(_e.numCoordinates*3),{rawCoords:g,iris:b}=k3(M,a,i,!1),d=tr(e);Math.abs(d)<30?(e5(e,u,"left",null),e5(e,g,"right",null)):d<1?e5(e,u,"left",["EyeUpper0","EyeLower0"]):e5(e,g,"right",["EyeUpper0","EyeLower0"]);let P=E3(e,m,"left"),S=E3(e,b,"right");return e.concat(P).concat(S)}var or=[[61,146],[146,91],[91,181],[181,84],[84,17],[17,314],[314,405],[405,321],[321,375],[375,291],[61,185],[185,40],[40,39],[39,37],[37,0],[0,267],[267,269],[269,270],[270,409],[409,291],[78,95],[95,88],[88,178],[178,87],[87,14],[14,317],[317,402],[402,318],[318,324],[324,308],[78,191],[191,80],[80,81],[81,82],[82,13],[13,312],[312,311],[311,310],[310,415],[415,308]],nr=[[263,249],[249,390],[390,373],[373,374],[374,380],[380,381],[381,382],[382,362],[263,466],[466,388],[388,387],[387,386],[386,385],[385,384],[384,398],[398,362]],rr=[[276,283],[283,282],[282,295],[295,285],[300,293],[293,334],[334,296],[296,336]],Ar=[[474,475],[475,476],[476,477],[477,474]],sr=[[33,7],[7,163],[163,144],[144,145],[145,153],[153,154],[154,155],[155,133],[33,246],[246,161],[161,160],[160,159],[159,158],[158,157],[157,173],[173,133]],ar=[[46,53],[53,52],[52,65],[65,55],[70,63],[63,105],[105,66],[66,107]],ir=[[469,470],[470,471],[471,472],[472,469]],lr=[[10,338],[338,297],[297,332],[332,284],[284,251],[251,389],[389,356],[356,454],[454,323],[323,361],[361,288],[288,397],[397,365],[365,379],[379,378],[378,400],[400,377],[377,152],[152,148],[148,176],[176,149],[149,150],[150,136],[136,172],[172,58],[58,132],[132,93],[93,234],[234,127],[127,162],[162,21],[21,54],[54,103],[103,67],[67,109],[109,10]];function Pe(e){let t=e.map(o=>o[0]);return t.push(e[e.length-1][1]),t}var yr={lips:Pe(or),leftEye:Pe(nr),leftEyebrow:Pe(rr),leftIris:Pe(Ar),rightEye:Pe(sr),rightEyebrow:Pe(ar),rightIris:Pe(ir),faceOval:Pe(lr)},xr=Object.entries(yr).map(([e,t])=>t.map(o=>[o,e])).flat(),P7=new Map(xr),v2=[61,146,91,181,84,17,314,405,321,375,291,185,40,39,37,0,267,269,270,409,78,95,88,178,87,14,317,402,318,324,308,191,80,81,82,13,312,311,310,415,76,77,90,180,85,16,315,404,320,307,306,184,74,73,72,11,302,303,304,408,62,96,89,179,86,15,316,403,319,325,292,183,42,41,38,12,268,271,272,407],Oe=[33,7,163,144,145,153,154,155,133,246,161,160,159,158,157,173,130,25,110,24,23,22,26,112,243,247,30,29,27,28,56,190,226,31,228,229,230,231,232,233,244,113,225,224,223,222,221,189,35,124,46,53,52,65,143,111,117,118,119,120,121,128,245,156,70,63,105,66,107,55,193],Le=[263,249,390,373,374,380,381,382,362,466,388,387,386,385,384,398,359,255,339,254,253,252,256,341,463,467,260,259,257,258,286,414,446,261,448,449,450,451,452,453,464,342,445,444,443,442,441,413,265,353,276,283,282,295,372,340,346,347,348,349,350,357,465,383,300,293,334,296,336,285,417];async function I3(e,t){let o={lips:await t.filter(A=>A.size===160)[0].data(),irisL:await t.filter(A=>A.size===10)[0].data(),eyeL:await t.filter(A=>A.size===142)[0].data(),irisR:await t.filter(A=>A.size===10)[1].data(),eyeR:await t.filter(A=>A.size===142)[1].data()},n=Oe.reduce((A,s)=>A+=e[s][2],0)/Oe.length;for(let A=0;AA+=e[s][2],0)/Le.length;for(let A=0;Ah()-$0.timestamp,n=$0.skipped<(((i=t.face.detector)==null?void 0:i.skipFrames)||0);!t.skipAllowed||!o||!n||$0.boxes.length===0?($0.boxes=await $t(e,t),$0.timestamp=h(),$0.skipped=0):$0.skipped++;let r=[],A=[],s=0;for(let b=0;b<$0.boxes.length;b++){let d=$0.boxes[b],P=0,S,w={id:s++,mesh:[],meshRaw:[],box:[0,0,0,0],boxRaw:[0,0,0,0],score:0,boxScore:0,faceScore:0,annotations:{}};if([P,S,w.tensor]=Yt((y=t.face.detector)==null?void 0:y.rotation,d,e,(c=t.face.mesh)!=null&&c.enabled?We:Ye()),(l=t==null?void 0:t.filter)!=null&&l.equalization){let j=await I2(w.tensor);$e.dispose(w.tensor),w.tensor=j}if(w.boxScore=Math.round(100*d.confidence)/100,(x=t.face.mesh)!=null&&x.enabled)if(!b0)t.debug&&p("face mesh detection requested, but model is not loaded");else{let 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Object.keys(D0))w.annotations[E]=D0[E].map(W0=>w.mesh[W0]);w.score=w.faceScore;let V={...Kt(w.mesh,d),confidence:d.confidence,landmarks:d.landmarks};w.box=D2(V,e),w.boxRaw=Z2(V,e),A.push(V)}$e.dispose([...j,U])}else{w.box=D2(d,e),w.boxRaw=Z2(d,e),w.score=w.boxScore,w.mesh=d.landmarks.map(j=>[(d.startPoint[0]+d.endPoint[0])/2+(d.endPoint[0]+d.startPoint[0])*j[0]/Ye(),(d.startPoint[1]+d.endPoint[1])/2+(d.endPoint[1]+d.startPoint[1])*j[1]/Ye()]),w.meshRaw=w.mesh.map(j=>[j[0]/(e.shape[2]||0),j[1]/(e.shape[1]||0),(j[2]||0)/We]);for(let j of Object.keys(Ce))w.annotations[j]=[w.mesh[Ce[j]]]}w.score>(((g=t.face.detector)==null?void 0:g.minConfidence)||1)?r.push(w):$e.dispose(w.tensor)}return $0.boxes=A,r}async function O3(e){var t,o,n,r,A,s;return v.initial&&(b0=null),((o=(t=e==null?void 0:e.face)==null?void 0:t.attention)==null?void 0:o.enabled)&&(b0==null?void 0:b0.signature)&&Object.keys(((n=b0==null?void 0:b0.signature)==null?void 0:n.outputs)||{}).length<6&&(b0=null),b0?e.debug&&p("cached model:",b0.modelUrl):(r=e.face.attention)!=null&&r.enabled?b0=await G((A=e.face.attention)==null?void 0:A.modelPath):b0=await G((s=e.face.mesh)==null?void 0:s.modelPath),We=b0.inputs[0].shape?b0.inputs[0].shape[2]:0,b0}var L3=je,W3=P2;var q0=D(H());var I0,t5=[],F3=0,G3=0,d1=Number.MAX_SAFE_INTEGER;async function B3(e){var t;return v.initial&&(I0=null),I0?e.debug&&p("cached model:",I0.modelUrl):I0=await G((t=e.face.description)==null?void 0:t.modelPath),I0}function f1(e){let t=e.image||e.tensor||e;if(!(I0!=null&&I0.inputs[0].shape))return t;let o=q0.image.resizeBilinear(t,[I0.inputs[0].shape[2],I0.inputs[0].shape[1]],!1),n=q0.mul(o,B.tf255);return q0.dispose(o),n}async function m1(e,t,o,n){var s,a,i,y;if(!I0)return{age:0,gender:"unknown",genderScore:0,descriptor:[]};let r=d1<(((s=t.face.description)==null?void 0:s.skipFrames)||0),A=(((a=t.face.description)==null?void 0:a.skipTime)||0)>h()-F3;return t.skipAllowed&&r&&A&&G3===n&&((i=t5[o])==null?void 0:i.age)&&((y=t5[o])==null?void 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T0.all)o[T0.getName(n)]={curl:ve.getName(t.curls[n]),direction:o0.getName(t.directions[n])};return o}function so(e){let t=[];if(!e||e.length===0)return t;let o=Ao(e);for(let n of $3){let r=n.matchAgainst(o.curls,o.directions);r>=vr&&t.push({name:n.name,confidence:r})}return t}var ao={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]},n2,r2,io;async function P1(e,t){let o=await io.estimateHands(e,t);if(!o)return[];let n=[];for(let r=0;ro[r].landmarks[l]);let s=o[r].landmarks,a=[Number.MAX_SAFE_INTEGER,Number.MAX_SAFE_INTEGER,0,0],i=[0,0,0,0];if(s&&s.length>0){for(let c of s)c[0]a[2]&&(a[2]=c[0]),c[1]>a[3]&&(a[3]=c[1]);a[2]-=a[0],a[3]-=a[1],i=[a[0]/(e.shape[2]||0),a[1]/(e.shape[1]||0),a[2]/(e.shape[2]||0),a[3]/(e.shape[1]||0)]}else a=o[r].box?[Math.trunc(Math.max(0,o[r].box.topLeft[0])),Math.trunc(Math.max(0,o[r].box.topLeft[1])),Math.trunc(Math.min(e.shape[2]||0,o[r].box.bottomRight[0])-Math.max(0,o[r].box.topLeft[0])),Math.trunc(Math.min(e.shape[1]||0,o[r].box.bottomRight[1])-Math.max(0,o[r].box.topLeft[1]))]:[0,0,0,0],i=[o[r].box.topLeft[0]/(e.shape[2]||0),o[r].box.topLeft[1]/(e.shape[1]||0),(o[r].box.bottomRight[0]-o[r].box.topLeft[0])/(e.shape[2]||0),(o[r].box.bottomRight[1]-o[r].box.topLeft[1])/(e.shape[1]||0)];let y=a5(s);n.push({id:r,score:Math.round(100*o[r].confidence)/100,boxScore:Math.round(100*o[r].boxConfidence)/100,fingerScore:Math.round(100*o[r].fingerConfidence)/100,label:"hand",box:a,boxRaw:i,keypoints:s,annotations:A,landmarks:y})}return n}async function M1(e){var o,n;v.initial&&(n2=null,r2=null),!n2||!r2?[n2,r2]=await Promise.all([e.hand.enabled?G((o=e.hand.detector)==null?void 0:o.modelPath):null,e.hand.landmarks?G((n=e.hand.skeleton)==null?void 0:n.modelPath):null]):(e.debug&&p("cached model:",n2.modelUrl),e.debug&&p("cached model:",r2.modelUrl));let t=new A5(n2);return io=new s5(t,r2),[n2,r2]}var J=D(H());var c0=[null,null],Er=["StatefulPartitionedCall/Postprocessor/Slice","StatefulPartitionedCall/Postprocessor/ExpandDims_1"],Ee=[[0,0],[0,0]],zr=["hand","fist","pinch","point","face","tip","pinchtip"],yo=4,xo=1.6,Sr=512,Cr=1.4,i5=Number.MAX_SAFE_INTEGER,R1=0,ce=[0,0],A0={boxes:[],hands:[]},co={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],base:[0],palm:[0,17,13,9,5,1,0]};async function fo(e){var t;if(v.initial&&(c0[0]=null),c0[0])e.debug&&p("cached model:",c0[0].modelUrl);else{l5(["tensorlistreserve","enter","tensorlistfromtensor","merge","loopcond","switch","exit","tensorliststack","nextiteration","tensorlistsetitem","tensorlistgetitem","reciprocal","shape","split","where"],e),c0[0]=await G((t=e.hand.detector)==null?void 0:t.modelPath);let o=Object.values(c0[0].modelSignature.inputs);Ee[0][0]=Array.isArray(o)?parseInt(o[0].tensorShape.dim[1].size):0,Ee[0][1]=Array.isArray(o)?parseInt(o[0].tensorShape.dim[2].size):0}return c0[0]}async function mo(e){var t;if(v.initial&&(c0[1]=null),c0[1])e.debug&&p("cached model:",c0[1].modelUrl);else{c0[1]=await G((t=e.hand.skeleton)==null?void 0:t.modelPath);let o=Object.values(c0[1].modelSignature.inputs);Ee[1][0]=Array.isArray(o)?parseInt(o[0].tensorShape.dim[1].size):0,Ee[1][1]=Array.isArray(o)?parseInt(o[0].tensorShape.dim[2].size):0}return c0[1]}async function jr(e,t){let o=[];if(!e||!c0[0])return o;let n={},r=(e.shape[2]||1)/(e.shape[1]||1),A=Math.min(Math.round((e.shape[1]||0)/8)*8,Sr),s=Math.round(A*r/8)*8;n.resize=J.image.resizeBilinear(e,[A,s]),n.cast=J.cast(n.resize,"int32"),[n.rawScores,n.rawBoxes]=await c0[0].executeAsync(n.cast,Er),n.boxes=J.squeeze(n.rawBoxes,[0,2]),n.scores=J.squeeze(n.rawScores,[0]);let a=J.unstack(n.scores,1);J.dispose(a[yo]),a.splice(yo,1),n.filtered=J.stack(a,1),J.dispose(a),n.max=J.max(n.filtered,1),n.argmax=J.argMax(n.filtered,1);let i=0;n.nms=await J.image.nonMaxSuppressionAsync(n.boxes,n.max,(t.hand.maxDetected||0)+1,t.hand.iouThreshold||0,t.hand.minConfidence||1);let y=await n.nms.data(),c=await n.max.data(),l=await n.argmax.data();for(let x of Array.from(y)){let f=J.slice(n.boxes,x,1),u=await f.data();J.dispose(f);let m=[u[1],u[0],u[3]-u[1],u[2]-u[0]],M=K2(m,Cr),g=[Math.trunc(m[0]*ce[0]),Math.trunc(m[1]*ce[1]),Math.trunc(m[2]*ce[0]),Math.trunc(m[3]*ce[1])],b=c[x],d=zr[l[x]],P={id:i++,score:b,box:g,boxRaw:M,label:d};o.push(P)}return Object.keys(n).forEach(x=>J.dispose(n[x])),o.sort((x,f)=>f.score-x.score),o.length>(t.hand.maxDetected||1)&&(o.length=t.hand.maxDetected||1),o}async function v1(e,t,o){let n={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&&c0[1]&&o.hand.landmarks&&t.score>(o.hand.minConfidence||0)){let r={},A=[t.boxRaw[1],t.boxRaw[0],t.boxRaw[3]+t.boxRaw[1],t.boxRaw[2]+t.boxRaw[0]];r.crop=J.image.cropAndResize(e,[A],[0],[Ee[1][0],Ee[1][1]],"bilinear"),r.div=J.div(r.crop,B.tf255),[r.score,r.keypoints]=c0[1].execute(r.div,["Identity_1","Identity"]);let s=(await r.score.data())[0],a=(100-Math.trunc(100/(1+Math.exp(s))))/100;if(a>=(o.hand.minConfidence||0)){n.fingerScore=a,r.reshaped=J.reshape(r.keypoints,[-1,3]);let c=(await r.reshaped.array()).map(l=>[l[0]/Ee[1][1],l[1]/Ee[1][0],l[2]||0]).map(l=>[l[0]*t.boxRaw[2],l[1]*t.boxRaw[3],l[2]||0]);n.keypoints=c.map(l=>[ce[0]*(l[0]+t.boxRaw[0]),ce[1]*(l[1]+t.boxRaw[1]),l[2]||0]),n.landmarks=a5(n.keypoints);for(let l of Object.keys(co))n.annotations[l]=co[l].map(x=>n.landmarks&&n.keypoints[x]?n.keypoints[x]:null)}Object.keys(r).forEach(i=>J.dispose(r[i]))}return n}async function T1(e,t){var r,A;if(!c0[0]||!c0[1]||!((r=c0[0])!=null&&r.inputs[0].shape)||!((A=c0[1])!=null&&A.inputs[0].shape))return[];ce=[e.shape[2]||0,e.shape[1]||0],i5++;let o=(t.hand.skipTime||0)>h()-R1,n=i5<(t.hand.skipFrames||0);return t.skipAllowed&&o&&n?A0.hands:new Promise(async s=>{let a=3*(t.hand.skipTime||0)>h()-R1,i=i5<3*(t.hand.skipFrames||0);t.skipAllowed&&A0.hands.length===t.hand.maxDetected?A0.hands=await Promise.all(A0.boxes.map(c=>v1(e,c,t))):t.skipAllowed&&a&&i&&A0.hands.length>0?A0.hands=await Promise.all(A0.boxes.map(c=>v1(e,c,t))):(A0.boxes=await jr(e,t),R1=h(),A0.hands=await Promise.all(A0.boxes.map(c=>v1(e,c,t))),i5=0);let y=[...A0.boxes];if(A0.boxes.length=0,t.cacheSensitivity>0)for(let c=0;c.05&&l.box[3]/(e.shape[1]||1)>.05&&A0.hands[c].fingerScore&&A0.hands[c].fingerScore>(t.hand.minConfidence||0)){let x=K2(l.box,xo),f=K2(l.boxRaw,xo);A0.boxes.push({...y[c],box:x,boxRaw:f})}}for(let c=0;ch()-ho,A=w1<(((a=t.face.liveness)==null?void 0:a.skipFrames)||0);return t.skipAllowed&&r&&A&&uo===n&&y5[o]?(w1++,y5[o]):(w1=0,new Promise(async i=>{let y=x5.image.resizeBilinear(e,[g0!=null&&g0.inputs[0].shape?g0.inputs[0].shape[2]:0,g0!=null&&g0.inputs[0].shape?g0.inputs[0].shape[1]:0],!1),c=g0==null?void 0:g0.execute(y),l=(await c.data())[0];y5[o]=Math.round(100*l)/100,uo=n,ho=h(),x5.dispose([y,c]),i(y5[o])}))}var To=D(H());var w2={};Se(w2,{connected:()=>d5,horizontal:()=>E1,kpt:()=>c5,relative:()=>S1,vertical:()=>z1});var c5=["nose","leftEye","rightEye","leftEar","rightEar","leftShoulder","rightShoulder","leftElbow","rightElbow","leftWrist","rightWrist","leftHip","rightHip","leftKnee","rightKnee","leftAnkle","rightAnkle"],E1=[["leftEye","rightEye"],["leftEar","rightEar"],["leftShoulder","rightShoulder"],["leftElbow","rightElbow"],["leftWrist","rightWrist"],["leftHip","rightHip"],["leftKnee","rightKnee"],["leftAnkle","rightAnkle"]],z1=[["leftKnee","leftShoulder"],["rightKnee","rightShoulder"],["leftAnkle","leftKnee"],["rightAnkle","rightKnee"]],S1=[[["leftHip","rightHip"],["leftShoulder","rightShoulder"]],[["leftElbow","rightElbow"],["leftShoulder","rightShoulder"]]],d5={leftLeg:["leftHip","leftKnee","leftAnkle"],rightLeg:["rightHip","rightKnee","rightAnkle"],torso:["leftShoulder","rightShoulder","rightHip","leftHip","leftShoulder"],leftArm:["leftShoulder","leftElbow","leftWrist"],rightArm:["rightShoulder","rightElbow","rightWrist"],head:[]};var ze=D(H()),Po=.005,O0={keypoints:[],padding:[[0,0],[0,0],[0,0],[0,0]]};function C1(e){for(let t of E1){let o=e.keypoints.findIndex(r=>r.part===t[0]),n=e.keypoints.findIndex(r=>r.part===t[1]);if(e.keypoints[o]&&e.keypoints[n]&&e.keypoints[o].position[0]r&&r.part===t[0]),n=e.keypoints.findIndex(r=>r&&r.part===t[1]);e.keypoints[o]&&e.keypoints[n]&&e.keypoints[o].position[1]y&&y.part===t[0]),r=e.keypoints.findIndex(y=>y&&y.part===t[1]),A=e.keypoints.findIndex(y=>y&&y.part===o[0]),s=e.keypoints.findIndex(y=>y&&y.part===o[1]);if(!e.keypoints[A]||!e.keypoints[s])continue;let a=e.keypoints[n]?[Math.abs(e.keypoints[A].position[0]-e.keypoints[n].position[0]),Math.abs(e.keypoints[s].position[0]-e.keypoints[n].position[0])]:[0,0],i=e.keypoints[r]?[Math.abs(e.keypoints[s].position[0]-e.keypoints[r].position[0]),Math.abs(e.keypoints[A].position[0]-e.keypoints[r].position[0])]:[0,0];if(a[0]>a[1]||i[0]>i[1]){let y=e.keypoints[n];e.keypoints[n]=e.keypoints[r],e.keypoints[r]=y}}}function Mo(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]],o.pad=ze.pad(e,O0.padding),o.resize=ze.image.resizeBilinear(o.pad,[t,t]);let n=ze.cast(o.resize,"int32");return Object.keys(o).forEach(r=>ze.dispose(o[r])),n}function vo(e,t){e.keypoints=e.keypoints.filter(n=>n&&n.position);for(let n of e.keypoints)n.position=[n.position[0]*(t[0]+O0.padding[2][0]+O0.padding[2][1])/t[0]-O0.padding[2][0],n.position[1]*(t[1]+O0.padding[1][0]+O0.padding[1][1])/t[1]-O0.padding[1][0]],n.positionRaw=[n.position[0]/t[0],n.position[1]/t[1]];let o=ae(e.keypoints.map(n=>n.position),t);return e.box=o.box,e.boxRaw=o.boxRaw,e}var L0,f5=0,j1=Number.MAX_SAFE_INTEGER,He={boxes:[],bodies:[],last:0};async function wo(e){return v.initial&&(L0=null),L0?e.debug&&p("cached model:",L0.modelUrl):(l5(["size"],e),L0=await G(e.body.modelPath)),f5=L0.inputs[0].shape?L0.inputs[0].shape[2]:0,f5<64&&(f5=256),L0}async function Nr(e,t,o){let n=e[0][0],r=[],A=0;for(let c=0;ct.body.minConfidence){let l=[n[c][1],n[c][0]];r.push({score:Math.round(100*A)/100,part:c5[c],positionRaw:l,position:[Math.round((o.shape[2]||0)*l[0]),Math.round((o.shape[1]||0)*l[1])]})}A=r.reduce((c,l)=>l.score>c?l.score:c,0);let s=[],a=ae(r.map(c=>c.position),[o.shape[2],o.shape[1]]),i={};for(let[c,l]of Object.entries(d5)){let x=[];for(let f=0;fM.part===l[f]),m=r.find(M=>M.part===l[f+1]);u&&m&&u.score>(t.body.minConfidence||0)&&m.score>(t.body.minConfidence||0)&&x.push([u.position,m.position])}i[c]=x}let y={id:0,score:A,box:a.box,boxRaw:a.boxRaw,keypoints:r,annotations:i};return C1(y),s.push(y),s}async function Or(e,t,o){let n=[];for(let r=0;rt.body.minConfidence){let a=[];for(let l=0;l<17;l++){let x=A[3*l+2];if(x>t.body.minConfidence){let f=[A[3*l+1],A[3*l+0]];a.push({part:c5[l],score:Math.round(100*x)/100,positionRaw:f,position:[Math.round((o.shape[2]||0)*f[0]),Math.round((o.shape[1]||0)*f[1])]})}}let i=ae(a.map(l=>l.position),[o.shape[2],o.shape[1]]),y={};for(let[l,x]of Object.entries(d5)){let f=[];for(let u=0;ug.part===x[u]),M=a.find(g=>g.part===x[u+1]);m&&M&&m.score>(t.body.minConfidence||0)&&M.score>(t.body.minConfidence||0)&&f.push([m.position,M.position])}y[l]=f}let c={id:r,score:s,box:i.box,boxRaw:i.boxRaw,keypoints:[...a],annotations:y};C1(c),n.push(c)}}return n.sort((r,A)=>A.score-r.score),n.length>t.body.maxDetected&&(n.length=t.body.maxDetected),n}async function I1(e,t){if(!L0||!(L0!=null&&L0.inputs[0].shape))return[];t.skipAllowed||(He.boxes.length=0),j1++;let o=(t.body.skipTime||0)>h()-He.last,n=j1<(t.body.skipFrames||0);return t.skipAllowed&&o&&n?He.bodies:new Promise(async r=>{let A={};j1=0,A.input=Ro(e,f5),A.res=L0==null?void 0:L0.execute(A.input),He.last=h();let s=await A.res.array();He.bodies=A.res.shape[2]===17?await Nr(s,t,e):await Or(s,t,e);for(let a of He.bodies)vo(a,[e.shape[2]||1,e.shape[1]||1]),Mo(a.keypoints);Object.keys(A).forEach(a=>To.dispose(A[a])),r(He.bodies)})}var w0=D(H());var A2,m5=[],Eo=0,N1=Number.MAX_SAFE_INTEGER,u5=0,p5=2.5;async function zo(e){if(!A2||v.initial){A2=await G(e.object.modelPath);let t=Object.values(A2.modelSignature.inputs);u5=Array.isArray(t)?parseInt(t[0].tensorShape.dim[2].size):0}else e.debug&&p("cached model:",A2.modelUrl);return A2}async function Lr(e,t,o){let n=0,r=[];for(let i of[1,2,4])w0.tidy(async()=>{let y=i*13,c=w0.squeeze(e.find(m=>m.shape[1]===y**2&&(m.shape[2]||0)===Je.length)),l=w0.squeeze(e.find(m=>m.shape[1]===y**2&&(m.shape[2]||0)(o.object.minConfidence||0)&&M!==61){let b=(.5+Math.trunc(m%y))/y,d=(.5+Math.trunc(m/y))/y,P=f[m].map(K=>K*(y/i/u5)),[S,w]=[b-p5/i*P[0],d-p5/i*P[1]],[j,C]=[b+p5/i*P[2]-S,d+p5/i*P[3]-w],F=[S,w,j,C];F=F.map(K=>Math.max(0,Math.min(K,1)));let Q=[F[0]*t[0],F[1]*t[1],F[2]*t[0],F[3]*t[1]],U={id:n++,score:Math.round(100*g)/100,class:M+1,label:Je[M].label,box:Q.map(K=>Math.trunc(K)),boxRaw:F};r.push(U)}}});e.forEach(i=>w0.dispose(i));let A=r.map(i=>[i.boxRaw[1],i.boxRaw[0],i.boxRaw[3],i.boxRaw[2]]),s=r.map(i=>i.score),a=[];if(A&&A.length>0){let i=await w0.image.nonMaxSuppressionAsync(A,s,o.object.maxDetected,o.object.iouThreshold,o.object.minConfidence);a=await i.data(),w0.dispose(i)}return r=r.filter((i,y)=>a.includes(y)).sort((i,y)=>y.score-i.score),r}async function O1(e,t){let o=(t.object.skipTime||0)>h()-Eo,n=N1<(t.object.skipFrames||0);return t.skipAllowed&&o&&n&&m5.length>0?(N1++,m5):(N1=0,!v.kernels.includes("mod")||!v.kernels.includes("sparsetodense")?m5:new Promise(async r=>{let A=[e.shape[2]||0,e.shape[1]||0],s=w0.image.resizeBilinear(e,[u5,u5],!1),a=w0.div(s,B.tf255),i=a.transpose([0,3,1,2]);w0.dispose(a),w0.dispose(s);let y;t.object.enabled&&(y=A2.execute(i)),Eo=h(),w0.dispose(i);let c=await Lr(y,A,t);m5=c,r(c)}))}var k0=D(H());var E2=["nose","leftEye","rightEye","leftEar","rightEar","leftShoulder","rightShoulder","leftElbow","rightElbow","leftWrist","rightWrist","leftHip","rightHip","leftKnee","rightKnee","leftAnkle","rightAnkle"],Wr=E2.length,k2=E2.reduce((e,t,o)=>(e[t]=o,e),{}),Fr=[["leftHip","leftShoulder"],["leftElbow","leftShoulder"],["leftElbow","leftWrist"],["leftHip","leftKnee"],["leftKnee","leftAnkle"],["rightHip","rightShoulder"],["rightElbow","rightShoulder"],["rightElbow","rightWrist"],["rightHip","rightKnee"],["rightKnee","rightAnkle"],["leftShoulder","rightShoulder"],["leftHip","rightHip"]],i4=Fr.map(([e,t])=>[k2[e],k2[t]]),Co=[["nose","leftEye"],["leftEye","leftEar"],["nose","rightEye"],["rightEye","rightEar"],["nose","leftShoulder"],["leftShoulder","leftElbow"],["leftElbow","leftWrist"],["leftShoulder","leftHip"],["leftHip","leftKnee"],["leftKnee","leftAnkle"],["nose","rightShoulder"],["rightShoulder","rightElbow"],["rightElbow","rightWrist"],["rightShoulder","rightHip"],["rightHip","rightKnee"],["rightKnee","rightAnkle"]];function jo(e){let t=e.reduce(({maxX:o,maxY:n,minX:r,minY:A},{position:{x:s,y:a}})=>({maxX:Math.max(o,s),maxY:Math.max(n,a),minX:Math.min(r,s),minY:Math.min(A,a)}),{maxX:Number.NEGATIVE_INFINITY,maxY:Number.NEGATIVE_INFINITY,minX:Number.POSITIVE_INFINITY,minY:Number.POSITIVE_INFINITY});return[t.minX,t.minY,t.maxX-t.minX,t.maxY-t.minY]}function Io(e,[t,o],[n,r]){let A=t/n,s=o/r,a=(y,c)=>({id:c,score:y.score,boxRaw:[y.box[0]/r,y.box[1]/n,y.box[2]/r,y.box[3]/n],box:[Math.trunc(y.box[0]*s),Math.trunc(y.box[1]*A),Math.trunc(y.box[2]*s),Math.trunc(y.box[3]*A)],keypoints:y.keypoints.map(({score:l,part:x,position:f})=>({score:l,part:x,position:[Math.trunc(f.x*s),Math.trunc(f.y*A)],positionRaw:[f.x/n,f.y/n]})),annotations:{}});return e.map((y,c)=>a(y,c))}var h5=class{constructor(t,o){T(this,"priorityQueue");T(this,"numberOfElements");T(this,"getElementValue");this.priorityQueue=new 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n=e.box[0]+e.box[2]/2-e.box[3]*Ve(e.rotation.angle.yaw)/90,r=e.box[1]+e.box[3]/2+e.box[2]*Ve(e.rotation.angle.pitch)/90,A=new Path2D(` M ${e.box[0]+e.box[2]/2} ${e.box[1]} C ${n} ${e.box[1]}, diff --git a/test/build.log b/test/build.log index 57834a58..0bd239f4 100644 --- a/test/build.log +++ b/test/build.log @@ -1,24 +1,24 @@ -2022-06-02 10:37:20 INFO:  Application: {"name":"@vladmandic/human","version":"2.8.0"} -2022-06-02 10:37:20 INFO:  Environment: {"profile":"production","config":".build.json","package":"package.json","tsconfig":true,"eslintrc":true,"git":true} -2022-06-02 10:37:20 INFO:  Toolchain: {"build":"0.7.3","esbuild":"0.14.42","typescript":"4.7.2","typedoc":"0.22.17","eslint":"8.16.0"} -2022-06-02 10:37:20 INFO:  Build: {"profile":"production","steps":["clean","compile","typings","typedoc","lint","changelog"]} -2022-06-02 10:37:20 STATE: Clean: {"locations":["dist/*","types/lib/*","typedoc/*"]} -2022-06-02 10:37:20 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":595} -2022-06-02 10:37:20 STATE: Compile: {"name":"human/nodejs/cpu","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node.js","files":73,"inputBytes":642827,"outputBytes":300685} -2022-06-02 10:37:20 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":599} -2022-06-02 10:37:20 STATE: Compile: {"name":"human/nodejs/gpu","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node-gpu.js","files":73,"inputBytes":642831,"outputBytes":300689} -2022-06-02 10:37:20 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":651} -2022-06-02 10:37:20 STATE: Compile: {"name":"human/nodejs/wasm","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node-wasm.js","files":73,"inputBytes":642883,"outputBytes":300739} -2022-06-02 10:37:20 STATE: Compile: {"name":"tfjs/browser/version","format":"esm","platform":"browser","input":"tfjs/tf-version.ts","output":"dist/tfjs.version.js","files":1,"inputBytes":1069,"outputBytes":358} -2022-06-02 10:37:20 STATE: Compile: {"name":"tfjs/browser/esm/nobundle","format":"esm","platform":"browser","input":"tfjs/tf-browser.ts","output":"dist/tfjs.esm.js","files":2,"inputBytes":1032,"outputBytes":583} -2022-06-02 10:37:20 STATE: Compile: {"name":"human/browser/esm/nobundle","format":"esm","platform":"browser","input":"src/human.ts","output":"dist/human.esm-nobundle.js","files":73,"inputBytes":642815,"outputBytes":299595} -2022-06-02 10:37:20 STATE: Compile: {"name":"tfjs/browser/esm/custom","format":"esm","platform":"browser","input":"tfjs/tf-custom.ts","output":"dist/tfjs.esm.js","files":1,"inputBytes":110,"outputBytes":1353524} -2022-06-02 10:37:21 STATE: Compile: {"name":"human/browser/iife/bundle","format":"iife","platform":"browser","input":"src/human.ts","output":"dist/human.js","files":73,"inputBytes":1995756,"outputBytes":1652193} -2022-06-02 10:37:21 STATE: Compile: {"name":"human/browser/esm/bundle","format":"esm","platform":"browser","input":"src/human.ts","output":"dist/human.esm.js","files":73,"inputBytes":1995756,"outputBytes":2139052} -2022-06-02 10:37:25 STATE: Typings: {"input":"src/human.ts","output":"types/lib","files":116} -2022-06-02 10:37:27 STATE: TypeDoc: {"input":"src/human.ts","output":"typedoc","objects":73,"generated":true} -2022-06-02 10:37:27 STATE: Compile: {"name":"demo/typescript","format":"esm","platform":"browser","input":"demo/typescript/index.ts","output":"demo/typescript/index.js","files":1,"inputBytes":6054,"outputBytes":2989} -2022-06-02 10:37:27 STATE: Compile: {"name":"demo/faceid","format":"esm","platform":"browser","input":"demo/faceid/index.ts","output":"demo/faceid/index.js","files":2,"inputBytes":15174,"outputBytes":7820} -2022-06-02 10:37:35 STATE: Lint: {"locations":["*.json","src/**/*.ts","test/**/*.js","demo/**/*.js"],"files":106,"errors":0,"warnings":0} -2022-06-02 10:37:35 STATE: ChangeLog: {"repository":"https://github.com/vladmandic/human","branch":"main","output":"CHANGELOG.md"} -2022-06-02 10:37:35 INFO:  Done... +2022-06-08 08:51:09 INFO:  Application: {"name":"@vladmandic/human","version":"2.8.1"} +2022-06-08 08:51:09 INFO:  Environment: {"profile":"production","config":".build.json","package":"package.json","tsconfig":true,"eslintrc":true,"git":true} +2022-06-08 08:51:09 INFO:  Toolchain: {"build":"0.7.3","esbuild":"0.14.43","typescript":"4.7.3","typedoc":"0.22.17","eslint":"8.17.0"} +2022-06-08 08:51:09 INFO:  Build: {"profile":"production","steps":["clean","compile","typings","typedoc","lint","changelog"]} +2022-06-08 08:51:09 STATE: Clean: {"locations":["dist/*","types/lib/*","typedoc/*"]} +2022-06-08 08:51:09 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":595} +2022-06-08 08:51:09 STATE: Compile: {"name":"human/nodejs/cpu","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node.js","files":73,"inputBytes":642827,"outputBytes":300685} +2022-06-08 08:51:09 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":599} +2022-06-08 08:51:09 STATE: Compile: {"name":"human/nodejs/gpu","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node-gpu.js","files":73,"inputBytes":642831,"outputBytes":300689} +2022-06-08 08:51:09 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":651} +2022-06-08 08:51:09 STATE: Compile: {"name":"human/nodejs/wasm","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node-wasm.js","files":73,"inputBytes":642883,"outputBytes":300739} +2022-06-08 08:51:09 STATE: Compile: {"name":"tfjs/browser/version","format":"esm","platform":"browser","input":"tfjs/tf-version.ts","output":"dist/tfjs.version.js","files":1,"inputBytes":1069,"outputBytes":358} +2022-06-08 08:51:09 STATE: Compile: {"name":"tfjs/browser/esm/nobundle","format":"esm","platform":"browser","input":"tfjs/tf-browser.ts","output":"dist/tfjs.esm.js","files":2,"inputBytes":1032,"outputBytes":583} +2022-06-08 08:51:09 STATE: Compile: {"name":"human/browser/esm/nobundle","format":"esm","platform":"browser","input":"src/human.ts","output":"dist/human.esm-nobundle.js","files":73,"inputBytes":642815,"outputBytes":299595} +2022-06-08 08:51:09 STATE: Compile: {"name":"tfjs/browser/esm/custom","format":"esm","platform":"browser","input":"tfjs/tf-custom.ts","output":"dist/tfjs.esm.js","files":1,"inputBytes":110,"outputBytes":1353524} +2022-06-08 08:51:09 STATE: Compile: {"name":"human/browser/iife/bundle","format":"iife","platform":"browser","input":"src/human.ts","output":"dist/human.js","files":73,"inputBytes":1995756,"outputBytes":1652193} +2022-06-08 08:51:10 STATE: Compile: {"name":"human/browser/esm/bundle","format":"esm","platform":"browser","input":"src/human.ts","output":"dist/human.esm.js","files":73,"inputBytes":1995756,"outputBytes":2139052} +2022-06-08 08:51:15 STATE: Typings: {"input":"src/human.ts","output":"types/lib","files":116} +2022-06-08 08:51:17 STATE: TypeDoc: {"input":"src/human.ts","output":"typedoc","objects":73,"generated":true} +2022-06-08 08:51:17 STATE: Compile: {"name":"demo/typescript","format":"esm","platform":"browser","input":"demo/typescript/index.ts","output":"demo/typescript/index.js","files":1,"inputBytes":6054,"outputBytes":2989} +2022-06-08 08:51:17 STATE: Compile: {"name":"demo/faceid","format":"esm","platform":"browser","input":"demo/faceid/index.ts","output":"demo/faceid/index.js","files":2,"inputBytes":15174,"outputBytes":7820} +2022-06-08 08:51:26 STATE: Lint: {"locations":["*.json","src/**/*.ts","test/**/*.js","demo/**/*.js"],"files":106,"errors":0,"warnings":0} +2022-06-08 08:51:26 STATE: ChangeLog: {"repository":"https://github.com/vladmandic/human","branch":"main","output":"CHANGELOG.md"} +2022-06-08 08:51:26 INFO:  Done... diff --git a/test/test-node-wasm.js b/test/test-node-wasm.js index 4c961bef..9d787436 100644 --- a/test/test-node-wasm.js +++ b/test/test-node-wasm.js @@ -13,8 +13,8 @@ const config = { cacheSensitivity: 0, modelBasePath: 'https://vladmandic.github.io/human/models/', backend: 'wasm', - // wasmPath: 'node_modules/@tensorflow/tfjs-backend-wasm/dist/', - wasmPath: `https://cdn.jsdelivr.net/npm/@tensorflow/tfjs-backend-wasm@${tf.version_core}/dist/`, + wasmPath: 'node_modules/@tensorflow/tfjs-backend-wasm/dist/', + // wasmPath: `cdn.jsdelivr.net/npm/@tensorflow/tfjs-backend-wasm@${tf.version_core}/dist/`, debug: false, async: false, face: { diff --git a/test/test.log b/test/test.log index 7713516c..578739ef 100644 --- a/test/test.log +++ b/test/test.log @@ -1,684 +1,684 @@ -2022-06-02 10:37:47 INFO:  @vladmandic/human version 2.8.0 -2022-06-02 10:37:47 INFO:  User: vlado Platform: linux Arch: x64 Node: v18.1.0 -2022-06-02 10:37:47 INFO:  tests: ["test-node.js","test-node-gpu.js","test-node-wasm.js"] -2022-06-02 10:37:47 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"] -2022-06-02 10:37:47 INFO:  -2022-06-02 10:37:47 INFO:  test-node.js start -2022-06-02 10:37:47 INFO:  test-node.js test: configuration validation -2022-06-02 10:37:47 STATE: test-node.js passed: configuration default validation [] -2022-06-02 10:37:47 STATE: test-node.js passed: configuration invalid validation [{"reason":"unknown property","where":"config.invalid = true"}] -2022-06-02 10:37:47 INFO:  test-node.js test: model load -2022-06-02 10:37:47 STATE: test-node.js passed: models loaded 22 12 [{"name":"ssrnetage","loaded":false,"url":null},{"name":"gear","loaded":false,"url":null},{"name":"blazeposedetect","loaded":false,"url":null},{"name":"blazepose","loaded":false,"url":null},{"name":"centernet","loaded":true,"url":"file://models/mb3-centernet.json"},{"name":"efficientpose","loaded":false,"url":null},{"name":"mobilefacenet","loaded":false,"url":null},{"name":"emotion","loaded":true,"url":"file://models/emotion.json"},{"name":"facedetect","loaded":true,"url":"file://models/blazeface.json"},{"name":"faceiris","loaded":true,"url":"file://models/iris.json"},{"name":"facemesh","loaded":true,"url":"file://models/facemesh.json"},{"name":"faceres","loaded":true,"url":"file://models/faceres.json"},{"name":"ssrnetgender","loaded":false,"url":null},{"name":"handpose","loaded":false,"url":null},{"name":"handskeleton","loaded":true,"url":"file://models/handlandmark-full.json"},{"name":"handtrack","loaded":true,"url":"file://models/handtrack.json"},{"name":"liveness","loaded":true,"url":"file://models/liveness.json"},{"name":"movenet","loaded":true,"url":"file://models/movenet-lightning.json"},{"name":"nanodet","loaded":false,"url":null},{"name":"posenet","loaded":false,"url":null},{"name":"segmentation","loaded":true,"url":"file://models/selfie.json"},{"name":"antispoof","loaded":true,"url":"file://models/antispoof.json"}] -2022-06-02 10:37:47 INFO:  test-node.js test: warmup -2022-06-02 10:37:47 STATE: test-node.js passed: create human -2022-06-02 10:37:47 INFO:  test-node.js human version: 2.8.0 -2022-06-02 10:37:47 INFO:  test-node.js platform: linux x64 agent: NodeJS v18.1.0 -2022-06-02 10:37:47 INFO:  test-node.js tfjs version: 3.18.0 -2022-06-02 10:37:47 INFO:  test-node.js tensorflow binding version: 2.7.0-dev20211101 -2022-06-02 10:37:47 STATE: test-node.js passed: set backend: tensorflow -2022-06-02 10:37:47 STATE: test-node.js tensors 1921 -2022-06-02 10:37:47 STATE: test-node.js passed: load models -2022-06-02 10:37:47 STATE: test-node.js result: defined models: 22 loaded models: 12 -2022-06-02 10:37:47 STATE: test-node.js passed: warmup: none default -2022-06-02 10:37:47 DATA:  test-node.js result: face: 0 body: 0 hand: 0 gesture: 0 object: 0 person: 0 {} {} {} -2022-06-02 10:37:47 DATA:  test-node.js result: performance: load: null total: null -2022-06-02 10:37:47 STATE: test-node.js passed: warmup none result match -2022-06-02 10:37:47 STATE: test-node.js event: image -2022-06-02 10:37:48 STATE: test-node.js event: detect -2022-06-02 10:37:48 STATE: test-node.js event: warmup -2022-06-02 10:37:48 STATE: test-node.js passed: warmup: face default -2022-06-02 10:37:48 DATA:  test-node.js result: face: 1 body: 1 hand: 1 gesture: 7 object: 1 person: 1 {"score":1,"age":23.5,"gender":"female"} {"score":0.82,"class":"person"} {"score":0.42,"keypoints":4} -2022-06-02 10:37:48 DATA:  test-node.js result: performance: load: null total: 354 -2022-06-02 10:37:48 STATE: test-node.js passed: warmup face result match -2022-06-02 10:37:48 STATE: test-node.js event: image -2022-06-02 10:37:48 STATE: test-node.js event: detect -2022-06-02 10:37:48 STATE: test-node.js event: warmup -2022-06-02 10:37:48 STATE: test-node.js passed: warmup: body default -2022-06-02 10:37:48 DATA:  test-node.js result: face: 1 body: 1 hand: 1 gesture: 7 object: 1 person: 1 {"score":1,"age":23.7,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} -2022-06-02 10:37:48 DATA:  test-node.js result: performance: load: null total: 260 -2022-06-02 10:37:48 STATE: test-node.js passed: warmup body result match -2022-06-02 10:37:48 STATE: test-node.js details: {"face":{"boxScore":0.92,"faceScore":1,"age":23.7,"gender":"female","genderScore":0.97},"emotion":[{"score":0.63,"emotion":"angry"},{"score":0.22,"emotion":"fear"}],"body":{"score":0.92,"keypoints":17},"hand":{"boxScore":0.52,"fingerScore":0.73,"keypoints":21},"gestures":[{"face":0,"gesture":"facing right"},{"face":0,"gesture":"mouth 10% open"},{"hand":0,"gesture":"pinky forward"},{"hand":0,"gesture":"palm up"},{"hand":0,"gesture":"open palm"},{"iris":0,"gesture":"looking left"},{"iris":0,"gesture":"looking up"}]} -2022-06-02 10:37:48 INFO:  test-node.js test: details verification -2022-06-02 10:37:48 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} -2022-06-02 10:37:48 STATE: test-node.js event: image -2022-06-02 10:37:48 STATE: test-node.js event: detect -2022-06-02 10:37:48 STATE: test-node.js passed: detect: samples/in/ai-body.jpg default -2022-06-02 10:37:48 DATA:  test-node.js result: face: 1 body: 1 hand: 1 gesture: 7 object: 1 person: 1 {"score":1,"age":23.7,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} -2022-06-02 10:37:48 DATA:  test-node.js result: performance: load: null total: 239 -2022-06-02 10:37:48 STATE: test-node.js passed: details face length 1 -2022-06-02 10:37:48 STATE: test-node.js passed: details face score 1 0.93 1 -2022-06-02 10:37:48 STATE: test-node.js passed: details face age/gender 23.7 female 0.97 85.47 -2022-06-02 10:37:48 STATE: test-node.js passed: details face arrays 4 478 1024 -2022-06-02 10:37:48 STATE: test-node.js passed: details face emotion 2 {"score":0.59,"emotion":"angry"} -2022-06-02 10:37:48 STATE: test-node.js passed: details face anti-spoofing 0.79 -2022-06-02 10:37:48 STATE: test-node.js passed: details face liveness 0.83 -2022-06-02 10:37:48 STATE: test-node.js passed: details body length 1 -2022-06-02 10:37:48 STATE: test-node.js passed: details body 0.92 17 6 -2022-06-02 10:37:48 STATE: test-node.js passed: details hand length 1 -2022-06-02 10:37:48 STATE: test-node.js passed: details hand 0.51 0.73 point -2022-06-02 10:37:48 STATE: test-node.js passed: details hand arrays 21 5 7 -2022-06-02 10:37:48 STATE: test-node.js passed: details gesture length 7 -2022-06-02 10:37:48 STATE: test-node.js passed: details gesture first {"face":0,"gesture":"facing right"} -2022-06-02 10:37:48 STATE: test-node.js passed: details object length 1 -2022-06-02 10:37:48 STATE: test-node.js passed: details object 0.72 person -2022-06-02 10:37:48 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,4] {"checksum":1371996928} -2022-06-02 10:37:48 STATE: test-node.js event: image -2022-06-02 10:37:49 STATE: test-node.js event: detect -2022-06-02 10:37:49 STATE: test-node.js passed: tensor shape: [1,1200,1200,4] dtype: float32 -2022-06-02 10:37:49 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1200,1200,4] {"checksum":1371996928} -2022-06-02 10:37:49 STATE: test-node.js event: image -2022-06-02 10:37:49 STATE: test-node.js event: detect -2022-06-02 10:37:49 STATE: test-node.js passed: tensor shape: [1200,1200,4] dtype: float32 -2022-06-02 10:37:49 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} -2022-06-02 10:37:49 STATE: test-node.js event: image -2022-06-02 10:37:50 STATE: test-node.js event: detect -2022-06-02 10:37:50 STATE: test-node.js passed: tensor shape: [1,1200,1200,3] dtype: float32 -2022-06-02 10:37:50 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1200,1200,3] {"checksum":1004796864} -2022-06-02 10:37:50 STATE: test-node.js event: image -2022-06-02 10:37:50 STATE: test-node.js event: detect -2022-06-02 10:37:50 STATE: test-node.js passed: tensor shape: [1200,1200,3] dtype: float32 -2022-06-02 10:37:50 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,4] {"checksum":1371996871} -2022-06-02 10:37:50 STATE: test-node.js event: image -2022-06-02 10:37:50 STATE: test-node.js event: detect -2022-06-02 10:37:50 STATE: test-node.js passed: tensor shape: [1,1200,1200,4] dtype: int32 -2022-06-02 10:37:50 INFO:  test-node.js test default -2022-06-02 10:37:51 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} -2022-06-02 10:37:51 STATE: test-node.js event: image -2022-06-02 10:37:51 STATE: test-node.js event: detect -2022-06-02 10:37:51 STATE: test-node.js passed: detect: samples/in/ai-body.jpg default -2022-06-02 10:37:51 DATA:  test-node.js result: face: 1 body: 1 hand: 1 gesture: 7 object: 1 person: 1 {"score":1,"age":23.7,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} -2022-06-02 10:37:51 DATA:  test-node.js result: performance: load: null total: 217 -2022-06-02 10:37:51 STATE: test-node.js passed: default result face match 1 female 0.97 -2022-06-02 10:37:51 INFO:  test-node.js test sync -2022-06-02 10:37:51 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} -2022-06-02 10:37:51 STATE: test-node.js event: image -2022-06-02 10:37:51 STATE: test-node.js event: detect -2022-06-02 10:37:51 STATE: test-node.js passed: detect: samples/in/ai-body.jpg default -2022-06-02 10:37:51 DATA:  test-node.js result: face: 1 body: 1 hand: 1 gesture: 7 object: 1 person: 1 {"score":1,"age":23.7,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} -2022-06-02 10:37:51 DATA:  test-node.js result: performance: load: null total: 236 -2022-06-02 10:37:51 STATE: test-node.js passed: default sync 1 female 0.97 -2022-06-02 10:37:51 INFO:  test-node.js test: image process -2022-06-02 10:37:51 STATE: test-node.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34696120} -2022-06-02 10:37:51 STATE: test-node.js passed: image input null [1,256,256,3] -2022-06-02 10:37:51 INFO:  test-node.js test: image null -2022-06-02 10:37:51 STATE: test-node.js passed: invalid input could not convert input to tensor -2022-06-02 10:37:51 INFO:  test-node.js test face similarity -2022-06-02 10:37:51 STATE: test-node.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34696120} -2022-06-02 10:37:51 STATE: test-node.js event: image -2022-06-02 10:37:51 STATE: test-node.js event: detect -2022-06-02 10:37:51 STATE: test-node.js passed: detect: samples/in/ai-face.jpg default -2022-06-02 10:37:51 DATA:  test-node.js result: face: 1 body: 1 hand: 1 gesture: 6 object: 1 person: 1 {"score":1,"age":23.5,"gender":"female"} {"score":0.82,"class":"person"} {"score":0.47,"keypoints":3} -2022-06-02 10:37:51 DATA:  test-node.js result: performance: load: null total: 213 -2022-06-02 10:37:52 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} -2022-06-02 10:37:52 STATE: test-node.js event: image -2022-06-02 10:37:52 STATE: test-node.js event: detect -2022-06-02 10:37:52 STATE: test-node.js passed: detect: samples/in/ai-body.jpg default -2022-06-02 10:37:52 DATA:  test-node.js result: face: 1 body: 1 hand: 1 gesture: 7 object: 1 person: 1 {"score":1,"age":23.7,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} -2022-06-02 10:37:52 DATA:  test-node.js result: performance: load: null total: 215 -2022-06-02 10:37:52 STATE: test-node.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151289024} -2022-06-02 10:37:52 STATE: test-node.js event: image -2022-06-02 10:37:52 STATE: test-node.js event: detect -2022-06-02 10:37:52 STATE: test-node.js passed: detect: samples/in/ai-upper.jpg default -2022-06-02 10:37:52 DATA:  test-node.js result: face: 1 body: 1 hand: 0 gesture: 4 object: 1 person: 1 {"score":1,"age":23.5,"gender":"female"} {"score":0.71,"class":"person"} {"score":0.75,"keypoints":7} -2022-06-02 10:37:52 DATA:  test-node.js result: performance: load: null total: 195 -2022-06-02 10:37:52 STATE: test-node.js passed: face descriptor -2022-06-02 10:37:52 STATE: test-node.js passed: face similarity {"similarity":[1,0.44727452329649126,0.5567935850640406],"descriptors":[1024,1024,1024]} -2022-06-02 10:37:52 INFO:  test-node.js test face matching -2022-06-02 10:37:52 STATE: test-node.js passed: face database 40 -2022-06-02 10:37:52 STATE: test-node.js passed: face match {"first":{"index":4,"similarity":0.7827852615252829}} {"second":{"index":4,"similarity":0.5002052633015844}} {"third":{"index":4,"similarity":0.5401587887998899}} -2022-06-02 10:37:52 INFO:  test-node.js test object -2022-06-02 10:37:52 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} -2022-06-02 10:37:52 STATE: test-node.js event: image -2022-06-02 10:37:52 STATE: test-node.js event: detect -2022-06-02 10:37:52 STATE: test-node.js passed: detect: samples/in/ai-body.jpg default -2022-06-02 10:37:52 DATA:  test-node.js result: face: 1 body: 1 hand: 1 gesture: 7 object: 1 person: 1 {"score":1,"age":23.7,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} -2022-06-02 10:37:52 DATA:  test-node.js result: performance: load: null total: 215 -2022-06-02 10:37:52 STATE: test-node.js passed: object result match -2022-06-02 10:37:52 INFO:  test-node.js test sensitive -2022-06-02 10:37:53 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} -2022-06-02 10:37:53 STATE: test-node.js event: image -2022-06-02 10:37:53 STATE: test-node.js event: detect -2022-06-02 10:37:53 STATE: test-node.js passed: detect: samples/in/ai-body.jpg default -2022-06-02 10:37:53 DATA:  test-node.js result: face: 1 body: 1 hand: 2 gesture: 9 object: 1 person: 1 {"score":1,"age":23.7,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} -2022-06-02 10:37:53 DATA:  test-node.js result: performance: load: null total: 233 -2022-06-02 10:37:53 STATE: test-node.js passed: sensitive result match -2022-06-02 10:37:53 STATE: test-node.js passed: sensitive face result match -2022-06-02 10:37:53 STATE: test-node.js passed: sensitive face emotion result [{"score":0.59,"emotion":"angry"},{"score":0.29,"emotion":"fear"}] -2022-06-02 10:37:53 STATE: test-node.js passed: sensitive body result match -2022-06-02 10:37:53 STATE: test-node.js passed: sensitive hand result match -2022-06-02 10:37:53 INFO:  test-node.js test detectors -2022-06-02 10:37:53 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} -2022-06-02 10:37:53 STATE: test-node.js event: image -2022-06-02 10:37:53 STATE: test-node.js event: detect -2022-06-02 10:37:53 STATE: test-node.js passed: detect: samples/in/ai-body.jpg default -2022-06-02 10:37:53 DATA:  test-node.js result: face: 1 body: 1 hand: 1 gesture: 0 object: 1 person: 1 {"score":0.93} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} -2022-06-02 10:37:53 DATA:  test-node.js result: performance: load: null total: 167 -2022-06-02 10:37:53 STATE: test-node.js passed: detector result face match -2022-06-02 10:37:53 STATE: test-node.js passed: detector result hand match -2022-06-02 10:37:53 INFO:  test-node.js test: multi-instance -2022-06-02 10:37:53 STATE: test-node.js event: image -2022-06-02 10:37:53 STATE: test-node.js event: detect -2022-06-02 10:37:53 STATE: test-node.js passed: detect: random default -2022-06-02 10:37:53 DATA:  test-node.js result: face: 0 body: 1 hand: 0 gesture: 0 object: 0 person: 0 {} {} {"score":0.07,"keypoints":15} -2022-06-02 10:37:53 DATA:  test-node.js result: performance: load: null total: 149 -2022-06-02 10:37:53 INFO:  test-node.js test: first instance -2022-06-02 10:37:54 STATE: test-node.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151289024} -2022-06-02 10:37:54 STATE: test-node.js passed: detect: samples/in/ai-upper.jpg default -2022-06-02 10:37:54 DATA:  test-node.js result: face: 1 body: 1 hand: 0 gesture: 0 object: 1 person: 1 {"score":0.96} {"score":0.71,"class":"person"} {"score":0.75,"keypoints":16} -2022-06-02 10:37:54 DATA:  test-node.js result: performance: load: null total: 148 -2022-06-02 10:37:54 INFO:  test-node.js test: second instance -2022-06-02 10:37:54 STATE: test-node.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151289024} -2022-06-02 10:37:54 STATE: test-node.js passed: detect: samples/in/ai-upper.jpg default -2022-06-02 10:37:54 DATA:  test-node.js result: face: 1 body: 1 hand: 0 gesture: 0 object: 1 person: 1 {"score":0.96} {"score":0.71,"class":"person"} {"score":0.75,"keypoints":16} -2022-06-02 10:37:54 DATA:  test-node.js result: performance: load: null total: 145 -2022-06-02 10:37:54 INFO:  test-node.js test: concurrent -2022-06-02 10:37:54 STATE: test-node.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34696120} -2022-06-02 10:37:54 STATE: test-node.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34696120} -2022-06-02 10:37:54 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} -2022-06-02 10:37:54 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} -2022-06-02 10:37:54 STATE: test-node.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151289024} -2022-06-02 10:37:54 STATE: test-node.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151289024} -2022-06-02 10:37:54 STATE: test-node.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34696120} -2022-06-02 10:37:55 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} -2022-06-02 10:37:55 STATE: test-node.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151289024} -2022-06-02 10:37:55 STATE: test-node.js event: image -2022-06-02 10:37:55 STATE: test-node.js event: image -2022-06-02 10:37:55 STATE: test-node.js event: image -2022-06-02 10:37:56 STATE: test-node.js passed: detect: samples/in/ai-upper.jpg default -2022-06-02 10:37:56 DATA:  test-node.js result: face: 1 body: 1 hand: 0 gesture: 0 object: 1 person: 1 {"score":0.96} {"score":0.71,"class":"person"} {"score":0.75,"keypoints":16} -2022-06-02 10:37:56 DATA:  test-node.js result: performance: load: null total: 1417 -2022-06-02 10:37:56 STATE: test-node.js passed: detect: samples/in/ai-upper.jpg default -2022-06-02 10:37:56 DATA:  test-node.js result: face: 1 body: 1 hand: 0 gesture: 0 object: 1 person: 1 {"score":0.96} {"score":0.71,"class":"person"} {"score":0.75,"keypoints":16} -2022-06-02 10:37:56 DATA:  test-node.js result: performance: load: null total: 1417 -2022-06-02 10:37:56 STATE: test-node.js passed: detect: samples/in/ai-face.jpg default -2022-06-02 10:37:56 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} -2022-06-02 10:37:56 DATA:  test-node.js result: performance: load: null total: 1538 -2022-06-02 10:37:56 STATE: test-node.js passed: detect: samples/in/ai-face.jpg default -2022-06-02 10:37:56 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} -2022-06-02 10:37:56 DATA:  test-node.js result: performance: load: null total: 1538 -2022-06-02 10:37:56 STATE: test-node.js passed: detect: samples/in/ai-body.jpg default -2022-06-02 10:37:56 DATA:  test-node.js result: face: 1 body: 1 hand: 1 gesture: 0 object: 1 person: 1 {"score":0.93} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} -2022-06-02 10:37:56 DATA:  test-node.js result: performance: load: null total: 1538 -2022-06-02 10:37:56 STATE: test-node.js passed: detect: samples/in/ai-body.jpg default -2022-06-02 10:37:56 DATA:  test-node.js result: face: 1 body: 1 hand: 1 gesture: 0 object: 1 person: 1 {"score":0.93} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} -2022-06-02 10:37:56 DATA:  test-node.js result: performance: load: null total: 1538 -2022-06-02 10:37:56 STATE: test-node.js event: detect -2022-06-02 10:37:56 STATE: test-node.js passed: detect: samples/in/ai-upper.jpg default -2022-06-02 10:37:56 DATA:  test-node.js result: face: 1 body: 1 hand: 0 gesture: 0 object: 1 person: 1 {"score":0.96} {"score":0.71,"class":"person"} {"score":0.75,"keypoints":16} -2022-06-02 10:37:56 DATA:  test-node.js result: performance: load: null total: 1283 -2022-06-02 10:37:56 STATE: test-node.js event: detect -2022-06-02 10:37:56 STATE: test-node.js event: detect -2022-06-02 10:37:56 STATE: test-node.js passed: detect: samples/in/ai-face.jpg default -2022-06-02 10:37:56 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} -2022-06-02 10:37:56 DATA:  test-node.js result: performance: load: null total: 1283 -2022-06-02 10:37:56 STATE: test-node.js passed: detect: samples/in/ai-body.jpg default -2022-06-02 10:37:56 DATA:  test-node.js result: face: 1 body: 1 hand: 1 gesture: 0 object: 1 person: 1 {"score":0.93} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} -2022-06-02 10:37:56 DATA:  test-node.js result: performance: load: null total: 1283 -2022-06-02 10:37:56 INFO:  test-node.js test: monkey-patch -2022-06-02 10:37:56 STATE: test-node.js event: image -2022-06-02 10:37:56 STATE: test-node.js event: detect -2022-06-02 10:37:56 STATE: test-node.js passed: monkey patch -2022-06-02 10:37:56 STATE: test-node.js passed: segmentation [65536] -2022-06-02 10:37:56 STATE: test-node.js passeed: equal usage -2022-06-02 10:37:56 INFO:  test-node.js test: input compare -2022-06-02 10:37:56 STATE: test-node.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34696120} -2022-06-02 10:37:56 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} -2022-06-02 10:37:56 STATE: test-node.js passed: image compare 0 23.275441687091504 -2022-06-02 10:37:56 INFO:  test-node.js events: {"image":21,"detect":21,"warmup":2} -2022-06-02 10:37:56 INFO:  test-node.js tensors 1927 -2022-06-02 10:37:56 INFO:  test-node.js test complete: 9338 ms -2022-06-02 10:37:56 INFO:  -2022-06-02 10:37:56 INFO:  test-node-gpu.js start -2022-06-02 10:37:57 INFO:  test-node-gpu.js test: configuration validation -2022-06-02 10:37:57 STATE: test-node-gpu.js passed: configuration default validation [] -2022-06-02 10:37:57 STATE: test-node-gpu.js passed: configuration invalid validation [{"reason":"unknown property","where":"config.invalid = true"}] -2022-06-02 10:37:57 INFO:  test-node-gpu.js test: model load -2022-06-02 10:37:57 STATE: test-node-gpu.js passed: models loaded 22 12 [{"name":"ssrnetage","loaded":false,"url":null},{"name":"gear","loaded":false,"url":null},{"name":"blazeposedetect","loaded":false,"url":null},{"name":"blazepose","loaded":false,"url":null},{"name":"centernet","loaded":true,"url":"file://models/mb3-centernet.json"},{"name":"efficientpose","loaded":false,"url":null},{"name":"mobilefacenet","loaded":false,"url":null},{"name":"emotion","loaded":true,"url":"file://models/emotion.json"},{"name":"facedetect","loaded":true,"url":"file://models/blazeface.json"},{"name":"faceiris","loaded":true,"url":"file://models/iris.json"},{"name":"facemesh","loaded":true,"url":"file://models/facemesh.json"},{"name":"faceres","loaded":true,"url":"file://models/faceres.json"},{"name":"ssrnetgender","loaded":false,"url":null},{"name":"handpose","loaded":false,"url":null},{"name":"handskeleton","loaded":true,"url":"file://models/handlandmark-full.json"},{"name":"handtrack","loaded":true,"url":"file://models/handtrack.json"},{"name":"liveness","loaded":true,"url":"file://models/liveness.json"},{"name":"movenet","loaded":true,"url":"file://models/movenet-lightning.json"},{"name":"nanodet","loaded":false,"url":null},{"name":"posenet","loaded":false,"url":null},{"name":"segmentation","loaded":true,"url":"file://models/selfie.json"},{"name":"antispoof","loaded":true,"url":"file://models/antispoof.json"}] -2022-06-02 10:37:57 INFO:  test-node-gpu.js test: warmup -2022-06-02 10:37:57 STATE: test-node-gpu.js passed: create human -2022-06-02 10:37:57 INFO:  test-node-gpu.js human version: 2.8.0 -2022-06-02 10:37:57 INFO:  test-node-gpu.js platform: linux x64 agent: NodeJS v18.1.0 -2022-06-02 10:37:57 INFO:  test-node-gpu.js tfjs version: 3.18.0 -2022-06-02 10:37:57 INFO:  test-node-gpu.js tensorflow binding version: 2.7.0-dev20211101 -2022-06-02 10:37:57 STATE: test-node-gpu.js passed: set backend: tensorflow -2022-06-02 10:37:57 STATE: test-node-gpu.js tensors 1921 -2022-06-02 10:37:57 STATE: test-node-gpu.js passed: load models -2022-06-02 10:37:57 STATE: test-node-gpu.js result: defined models: 22 loaded models: 12 -2022-06-02 10:37:57 STATE: test-node-gpu.js passed: warmup: none default -2022-06-02 10:37:57 DATA:  test-node-gpu.js result: face: 0 body: 0 hand: 0 gesture: 0 object: 0 person: 0 {} {} {} -2022-06-02 10:37:57 DATA:  test-node-gpu.js result: performance: load: null total: null -2022-06-02 10:37:57 STATE: test-node-gpu.js passed: warmup none result match -2022-06-02 10:37:58 STATE: test-node-gpu.js event: image -2022-06-02 10:38:00 STATE: test-node-gpu.js event: detect -2022-06-02 10:38:00 STATE: test-node-gpu.js event: warmup -2022-06-02 10:38:00 STATE: test-node-gpu.js passed: warmup: face default -2022-06-02 10:38:00 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 1 gesture: 7 object: 1 person: 1 {"score":1,"age":23.5,"gender":"female"} {"score":0.82,"class":"person"} {"score":0.42,"keypoints":4} -2022-06-02 10:38:00 DATA:  test-node-gpu.js result: performance: load: null total: 2264 -2022-06-02 10:38:00 STATE: test-node-gpu.js passed: warmup face result match -2022-06-02 10:38:00 STATE: test-node-gpu.js event: image -2022-06-02 10:38:00 STATE: test-node-gpu.js event: detect -2022-06-02 10:38:00 STATE: test-node-gpu.js event: warmup -2022-06-02 10:38:00 STATE: test-node-gpu.js passed: warmup: body default -2022-06-02 10:38:00 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 1 gesture: 7 object: 1 person: 1 {"score":1,"age":23.7,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} -2022-06-02 10:38:00 DATA:  test-node-gpu.js result: performance: load: null total: 201 -2022-06-02 10:38:00 STATE: test-node-gpu.js passed: warmup body result match -2022-06-02 10:38:00 STATE: test-node-gpu.js details: {"face":{"boxScore":0.92,"faceScore":1,"age":23.7,"gender":"female","genderScore":0.97},"emotion":[{"score":0.63,"emotion":"angry"},{"score":0.22,"emotion":"fear"}],"body":{"score":0.92,"keypoints":17},"hand":{"boxScore":0.52,"fingerScore":0.73,"keypoints":21},"gestures":[{"face":0,"gesture":"facing right"},{"face":0,"gesture":"mouth 10% open"},{"hand":0,"gesture":"pinky forward"},{"hand":0,"gesture":"palm up"},{"hand":0,"gesture":"open palm"},{"iris":0,"gesture":"looking left"},{"iris":0,"gesture":"looking up"}]} -2022-06-02 10:38:00 INFO:  test-node-gpu.js test: details verification -2022-06-02 10:38:00 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796928} -2022-06-02 10:38:00 STATE: test-node-gpu.js event: image -2022-06-02 10:38:01 STATE: test-node-gpu.js event: detect -2022-06-02 10:38:01 STATE: test-node-gpu.js passed: detect: samples/in/ai-body.jpg default -2022-06-02 10:38:01 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 1 gesture: 7 object: 1 person: 1 {"score":1,"age":23.7,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} -2022-06-02 10:38:01 DATA:  test-node-gpu.js result: performance: load: null total: 258 -2022-06-02 10:38:01 STATE: test-node-gpu.js passed: details face length 1 -2022-06-02 10:38:01 STATE: test-node-gpu.js passed: details face score 1 0.93 1 -2022-06-02 10:38:01 STATE: test-node-gpu.js passed: details face age/gender 23.7 female 0.97 85.47 -2022-06-02 10:38:01 STATE: test-node-gpu.js passed: details face arrays 4 478 1024 -2022-06-02 10:38:01 STATE: test-node-gpu.js passed: details face emotion 2 {"score":0.59,"emotion":"angry"} -2022-06-02 10:38:01 STATE: test-node-gpu.js passed: details face anti-spoofing 0.79 -2022-06-02 10:38:01 STATE: test-node-gpu.js passed: details face liveness 0.83 -2022-06-02 10:38:01 STATE: test-node-gpu.js passed: details body length 1 -2022-06-02 10:38:01 STATE: test-node-gpu.js passed: details body 0.92 17 6 -2022-06-02 10:38:01 STATE: test-node-gpu.js passed: details hand length 1 -2022-06-02 10:38:01 STATE: test-node-gpu.js passed: details hand 0.51 0.73 point -2022-06-02 10:38:01 STATE: test-node-gpu.js passed: details hand arrays 21 5 7 -2022-06-02 10:38:01 STATE: test-node-gpu.js passed: details gesture length 7 -2022-06-02 10:38:01 STATE: test-node-gpu.js passed: details gesture first {"face":0,"gesture":"facing right"} -2022-06-02 10:38:01 STATE: test-node-gpu.js passed: details object length 1 -2022-06-02 10:38:01 STATE: test-node-gpu.js passed: details object 0.72 person -2022-06-02 10:38:01 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,4] {"checksum":1371996928} -2022-06-02 10:38:01 STATE: test-node-gpu.js event: image -2022-06-02 10:38:01 STATE: test-node-gpu.js event: detect -2022-06-02 10:38:01 STATE: test-node-gpu.js passed: tensor shape: [1,1200,1200,4] dtype: float32 -2022-06-02 10:38:01 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1200,1200,4] {"checksum":1371996928} -2022-06-02 10:38:01 STATE: test-node-gpu.js event: image -2022-06-02 10:38:02 STATE: test-node-gpu.js event: detect -2022-06-02 10:38:02 STATE: test-node-gpu.js passed: tensor shape: [1200,1200,4] dtype: float32 -2022-06-02 10:38:02 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796928} -2022-06-02 10:38:02 STATE: test-node-gpu.js event: image -2022-06-02 10:38:02 STATE: test-node-gpu.js event: detect -2022-06-02 10:38:02 STATE: test-node-gpu.js passed: tensor shape: [1,1200,1200,3] dtype: float32 -2022-06-02 10:38:02 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1200,1200,3] {"checksum":1004796928} -2022-06-02 10:38:02 STATE: test-node-gpu.js event: image -2022-06-02 10:38:02 STATE: test-node-gpu.js event: detect -2022-06-02 10:38:02 STATE: test-node-gpu.js passed: tensor shape: [1200,1200,3] dtype: float32 -2022-06-02 10:38:02 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,4] {"checksum":1371996871} -2022-06-02 10:38:02 STATE: test-node-gpu.js event: image -2022-06-02 10:38:03 STATE: test-node-gpu.js event: detect -2022-06-02 10:38:03 STATE: test-node-gpu.js passed: tensor shape: [1,1200,1200,4] dtype: int32 -2022-06-02 10:38:03 INFO:  test-node-gpu.js test default -2022-06-02 10:38:03 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796928} -2022-06-02 10:38:03 STATE: test-node-gpu.js event: image -2022-06-02 10:38:03 STATE: test-node-gpu.js event: detect -2022-06-02 10:38:03 STATE: test-node-gpu.js passed: detect: samples/in/ai-body.jpg default -2022-06-02 10:38:03 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 1 gesture: 7 object: 1 person: 1 {"score":1,"age":23.7,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} -2022-06-02 10:38:03 DATA:  test-node-gpu.js result: performance: load: null total: 192 -2022-06-02 10:38:03 STATE: test-node-gpu.js passed: default result face match 1 female 0.97 -2022-06-02 10:38:03 INFO:  test-node-gpu.js test sync -2022-06-02 10:38:03 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796928} -2022-06-02 10:38:03 STATE: test-node-gpu.js event: image -2022-06-02 10:38:03 STATE: test-node-gpu.js event: detect -2022-06-02 10:38:03 STATE: test-node-gpu.js passed: detect: samples/in/ai-body.jpg default -2022-06-02 10:38:03 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 1 gesture: 7 object: 1 person: 1 {"score":1,"age":23.7,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} -2022-06-02 10:38:03 DATA:  test-node-gpu.js result: performance: load: null total: 191 -2022-06-02 10:38:03 STATE: test-node-gpu.js passed: default sync 1 female 0.97 -2022-06-02 10:38:03 INFO:  test-node-gpu.js test: image process -2022-06-02 10:38:03 STATE: test-node-gpu.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34696120} -2022-06-02 10:38:03 STATE: test-node-gpu.js passed: image input null [1,256,256,3] -2022-06-02 10:38:03 INFO:  test-node-gpu.js test: image null -2022-06-02 10:38:03 STATE: test-node-gpu.js passed: invalid input could not convert input to tensor -2022-06-02 10:38:03 INFO:  test-node-gpu.js test face similarity -2022-06-02 10:38:03 STATE: test-node-gpu.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34696120} -2022-06-02 10:38:03 STATE: test-node-gpu.js event: image -2022-06-02 10:38:04 STATE: test-node-gpu.js event: detect -2022-06-02 10:38:04 STATE: test-node-gpu.js passed: detect: samples/in/ai-face.jpg default -2022-06-02 10:38:04 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 1 gesture: 6 object: 1 person: 1 {"score":1,"age":23.5,"gender":"female"} {"score":0.82,"class":"person"} {"score":0.47,"keypoints":3} -2022-06-02 10:38:04 DATA:  test-node-gpu.js result: performance: load: null total: 184 -2022-06-02 10:38:04 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796928} -2022-06-02 10:38:04 STATE: test-node-gpu.js event: image -2022-06-02 10:38:04 STATE: test-node-gpu.js event: detect -2022-06-02 10:38:04 STATE: test-node-gpu.js passed: detect: samples/in/ai-body.jpg default -2022-06-02 10:38:04 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 1 gesture: 7 object: 1 person: 1 {"score":1,"age":23.7,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} -2022-06-02 10:38:04 DATA:  test-node-gpu.js result: performance: load: null total: 191 -2022-06-02 10:38:04 STATE: test-node-gpu.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151289056} -2022-06-02 10:38:04 STATE: test-node-gpu.js event: image -2022-06-02 10:38:04 STATE: test-node-gpu.js event: detect -2022-06-02 10:38:04 STATE: test-node-gpu.js passed: detect: samples/in/ai-upper.jpg default -2022-06-02 10:38:04 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 0 gesture: 4 object: 1 person: 1 {"score":1,"age":23.5,"gender":"female"} {"score":0.71,"class":"person"} {"score":0.75,"keypoints":7} -2022-06-02 10:38:04 DATA:  test-node-gpu.js result: performance: load: null total: 208 -2022-06-02 10:38:04 STATE: test-node-gpu.js passed: face descriptor -2022-06-02 10:38:04 STATE: test-node-gpu.js passed: face similarity {"similarity":[1,0.447238756461232,0.556914029877052],"descriptors":[1024,1024,1024]} -2022-06-02 10:38:04 INFO:  test-node-gpu.js test face matching -2022-06-02 10:38:04 STATE: test-node-gpu.js passed: face database 40 -2022-06-02 10:38:04 STATE: test-node-gpu.js passed: face match {"first":{"index":4,"similarity":0.7828184453007331}} {"second":{"index":4,"similarity":0.5001334216773398}} {"third":{"index":4,"similarity":0.5403054967489764}} -2022-06-02 10:38:04 INFO:  test-node-gpu.js test object -2022-06-02 10:38:05 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796928} -2022-06-02 10:38:05 STATE: test-node-gpu.js event: image -2022-06-02 10:38:05 STATE: test-node-gpu.js event: detect -2022-06-02 10:38:05 STATE: test-node-gpu.js passed: detect: samples/in/ai-body.jpg default -2022-06-02 10:38:05 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 1 gesture: 7 object: 1 person: 1 {"score":1,"age":23.7,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} -2022-06-02 10:38:05 DATA:  test-node-gpu.js result: performance: load: null total: 226 -2022-06-02 10:38:05 STATE: test-node-gpu.js passed: object result match -2022-06-02 10:38:05 INFO:  test-node-gpu.js test sensitive -2022-06-02 10:38:05 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796928} -2022-06-02 10:38:05 STATE: test-node-gpu.js event: image -2022-06-02 10:38:05 STATE: test-node-gpu.js event: detect -2022-06-02 10:38:05 STATE: test-node-gpu.js passed: detect: samples/in/ai-body.jpg default -2022-06-02 10:38:05 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 2 gesture: 9 object: 1 person: 1 {"score":1,"age":23.7,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} -2022-06-02 10:38:05 DATA:  test-node-gpu.js result: performance: load: null total: 222 -2022-06-02 10:38:05 STATE: test-node-gpu.js passed: sensitive result match -2022-06-02 10:38:05 STATE: test-node-gpu.js passed: sensitive face result match -2022-06-02 10:38:05 STATE: test-node-gpu.js passed: sensitive face emotion result [{"score":0.59,"emotion":"angry"},{"score":0.29,"emotion":"fear"}] -2022-06-02 10:38:05 STATE: test-node-gpu.js passed: sensitive body result match -2022-06-02 10:38:05 STATE: test-node-gpu.js passed: sensitive hand result match -2022-06-02 10:38:05 INFO:  test-node-gpu.js test detectors -2022-06-02 10:38:05 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796928} -2022-06-02 10:38:05 STATE: test-node-gpu.js event: image -2022-06-02 10:38:05 STATE: test-node-gpu.js event: detect -2022-06-02 10:38:05 STATE: test-node-gpu.js passed: detect: samples/in/ai-body.jpg default -2022-06-02 10:38:05 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 1 gesture: 0 object: 1 person: 1 {"score":0.93} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} -2022-06-02 10:38:05 DATA:  test-node-gpu.js result: performance: load: null total: 94 -2022-06-02 10:38:05 STATE: test-node-gpu.js passed: detector result face match -2022-06-02 10:38:05 STATE: test-node-gpu.js passed: detector result hand match -2022-06-02 10:38:05 INFO:  test-node-gpu.js test: multi-instance -2022-06-02 10:38:05 STATE: test-node-gpu.js event: image -2022-06-02 10:38:06 STATE: test-node-gpu.js event: detect -2022-06-02 10:38:06 STATE: test-node-gpu.js passed: detect: random default -2022-06-02 10:38:06 DATA:  test-node-gpu.js result: face: 0 body: 1 hand: 0 gesture: 0 object: 0 person: 0 {} {} {"score":0.06,"keypoints":15} -2022-06-02 10:38:06 DATA:  test-node-gpu.js result: performance: load: null total: 102 -2022-06-02 10:38:06 INFO:  test-node-gpu.js test: first instance -2022-06-02 10:38:06 STATE: test-node-gpu.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151289056} -2022-06-02 10:38:06 STATE: test-node-gpu.js passed: detect: samples/in/ai-upper.jpg default -2022-06-02 10:38:06 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 0 gesture: 0 object: 1 person: 1 {"score":0.96} {"score":0.71,"class":"person"} {"score":0.75,"keypoints":16} -2022-06-02 10:38:06 DATA:  test-node-gpu.js result: performance: load: null total: 91 -2022-06-02 10:38:06 INFO:  test-node-gpu.js test: second instance -2022-06-02 10:38:06 STATE: test-node-gpu.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151289056} -2022-06-02 10:38:06 STATE: test-node-gpu.js passed: detect: samples/in/ai-upper.jpg default -2022-06-02 10:38:06 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 0 gesture: 0 object: 1 person: 1 {"score":0.96} {"score":0.71,"class":"person"} {"score":0.75,"keypoints":16} -2022-06-02 10:38:06 DATA:  test-node-gpu.js result: performance: load: null total: 82 -2022-06-02 10:38:06 INFO:  test-node-gpu.js test: concurrent -2022-06-02 10:38:06 STATE: test-node-gpu.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34696120} -2022-06-02 10:38:06 STATE: test-node-gpu.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34696120} -2022-06-02 10:38:06 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796928} -2022-06-02 10:38:06 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796928} -2022-06-02 10:38:06 STATE: test-node-gpu.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151289056} -2022-06-02 10:38:06 STATE: test-node-gpu.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151289056} -2022-06-02 10:38:06 STATE: test-node-gpu.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34696120} -2022-06-02 10:38:07 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796928} -2022-06-02 10:38:07 STATE: test-node-gpu.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151289056} -2022-06-02 10:38:07 STATE: test-node-gpu.js event: image -2022-06-02 10:38:07 STATE: test-node-gpu.js event: image -2022-06-02 10:38:07 STATE: test-node-gpu.js event: image -2022-06-02 10:38:07 STATE: test-node-gpu.js passed: detect: samples/in/ai-upper.jpg default -2022-06-02 10:38:07 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 0 gesture: 0 object: 1 person: 1 {"score":0.96} {"score":0.71,"class":"person"} {"score":0.75,"keypoints":16} -2022-06-02 10:38:07 DATA:  test-node-gpu.js result: performance: load: null total: 945 -2022-06-02 10:38:07 STATE: test-node-gpu.js passed: detect: samples/in/ai-upper.jpg default -2022-06-02 10:38:07 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 0 gesture: 0 object: 1 person: 1 {"score":0.96} {"score":0.71,"class":"person"} {"score":0.75,"keypoints":16} -2022-06-02 10:38:07 DATA:  test-node-gpu.js result: performance: load: null total: 945 -2022-06-02 10:38:07 STATE: test-node-gpu.js passed: detect: samples/in/ai-face.jpg default -2022-06-02 10:38:07 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} -2022-06-02 10:38:07 DATA:  test-node-gpu.js result: performance: load: null total: 999 -2022-06-02 10:38:07 STATE: test-node-gpu.js passed: detect: samples/in/ai-face.jpg default -2022-06-02 10:38:07 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} -2022-06-02 10:38:07 DATA:  test-node-gpu.js result: performance: load: null total: 999 -2022-06-02 10:38:07 STATE: test-node-gpu.js passed: detect: samples/in/ai-body.jpg default -2022-06-02 10:38:07 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 1 gesture: 0 object: 1 person: 1 {"score":0.93} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} -2022-06-02 10:38:07 DATA:  test-node-gpu.js result: performance: load: null total: 999 -2022-06-02 10:38:07 STATE: test-node-gpu.js passed: detect: samples/in/ai-body.jpg default -2022-06-02 10:38:07 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 1 gesture: 0 object: 1 person: 1 {"score":0.93} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} -2022-06-02 10:38:07 DATA:  test-node-gpu.js result: performance: load: null total: 999 -2022-06-02 10:38:07 STATE: test-node-gpu.js event: detect -2022-06-02 10:38:07 STATE: test-node-gpu.js passed: detect: samples/in/ai-upper.jpg default -2022-06-02 10:38:07 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 0 gesture: 0 object: 1 person: 1 {"score":0.96} {"score":0.71,"class":"person"} {"score":0.75,"keypoints":16} -2022-06-02 10:38:07 DATA:  test-node-gpu.js result: performance: load: null total: 752 -2022-06-02 10:38:07 STATE: test-node-gpu.js event: detect -2022-06-02 10:38:07 STATE: test-node-gpu.js event: detect -2022-06-02 10:38:07 STATE: test-node-gpu.js passed: detect: samples/in/ai-face.jpg default -2022-06-02 10:38:07 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} -2022-06-02 10:38:07 DATA:  test-node-gpu.js result: performance: load: null total: 753 -2022-06-02 10:38:07 STATE: test-node-gpu.js passed: detect: samples/in/ai-body.jpg default -2022-06-02 10:38:07 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 1 gesture: 0 object: 1 person: 1 {"score":0.93} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} -2022-06-02 10:38:07 DATA:  test-node-gpu.js result: performance: load: null total: 753 -2022-06-02 10:38:07 INFO:  test-node-gpu.js test: monkey-patch -2022-06-02 10:38:07 STATE: test-node-gpu.js event: image -2022-06-02 10:38:08 STATE: test-node-gpu.js event: detect -2022-06-02 10:38:08 STATE: test-node-gpu.js passed: monkey patch -2022-06-02 10:38:08 STATE: test-node-gpu.js passed: segmentation [65536] -2022-06-02 10:38:08 STATE: test-node-gpu.js passeed: equal usage -2022-06-02 10:38:08 INFO:  test-node-gpu.js test: input compare -2022-06-02 10:38:08 STATE: test-node-gpu.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34696120} -2022-06-02 10:38:08 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796928} -2022-06-02 10:38:08 STATE: test-node-gpu.js passed: image compare 0 23.275441687091504 -2022-06-02 10:38:08 INFO:  test-node-gpu.js events: {"image":21,"detect":21,"warmup":2} -2022-06-02 10:38:08 INFO:  test-node-gpu.js tensors 1927 -2022-06-02 10:38:08 INFO:  test-node-gpu.js test complete: 10665 ms -2022-06-02 10:38:08 INFO:  -2022-06-02 10:38:08 INFO:  test-node-wasm.js start -2022-06-02 10:38:09 STATE: test-node-wasm.js passed: model server: https://vladmandic.github.io/human/models/ -2022-06-02 10:38:09 INFO:  test-node-wasm.js test: configuration validation -2022-06-02 10:38:09 STATE: test-node-wasm.js passed: configuration default validation [] -2022-06-02 10:38:09 STATE: test-node-wasm.js passed: configuration invalid validation [{"reason":"unknown property","where":"config.invalid = true"}] -2022-06-02 10:38:09 INFO:  test-node-wasm.js test: model load -2022-06-02 10:38:10 STATE: test-node-wasm.js passed: models loaded 22 12 [{"name":"ssrnetage","loaded":false,"url":null},{"name":"gear","loaded":false,"url":null},{"name":"blazeposedetect","loaded":false,"url":null},{"name":"blazepose","loaded":false,"url":null},{"name":"centernet","loaded":true,"url":"https://vladmandic.github.io/human/models/mb3-centernet.json"},{"name":"efficientpose","loaded":false,"url":null},{"name":"mobilefacenet","loaded":false,"url":null},{"name":"emotion","loaded":true,"url":"https://vladmandic.github.io/human/models/emotion.json"},{"name":"facedetect","loaded":true,"url":"https://vladmandic.github.io/human/models/blazeface.json"},{"name":"faceiris","loaded":true,"url":"https://vladmandic.github.io/human/models/iris.json"},{"name":"facemesh","loaded":true,"url":"https://vladmandic.github.io/human/models/facemesh.json"},{"name":"faceres","loaded":true,"url":"https://vladmandic.github.io/human/models/faceres.json"},{"name":"ssrnetgender","loaded":false,"url":null},{"name":"handpose","loaded":false,"url":null},{"name":"handskeleton","loaded":true,"url":"https://vladmandic.github.io/human/models/handlandmark-full.json"},{"name":"handtrack","loaded":true,"url":"https://vladmandic.github.io/human/models/handtrack.json"},{"name":"liveness","loaded":true,"url":"https://vladmandic.github.io/human/models/liveness.json"},{"name":"movenet","loaded":true,"url":"https://vladmandic.github.io/human/models/movenet-lightning.json"},{"name":"nanodet","loaded":false,"url":null},{"name":"posenet","loaded":false,"url":null},{"name":"segmentation","loaded":true,"url":"https://vladmandic.github.io/human/models/selfie.json"},{"name":"antispoof","loaded":true,"url":"https://vladmandic.github.io/human/models/antispoof.json"}] -2022-06-02 10:38:10 INFO:  test-node-wasm.js test: warmup -2022-06-02 10:38:10 STATE: test-node-wasm.js passed: create human -2022-06-02 10:38:10 INFO:  test-node-wasm.js human version: 2.8.0 -2022-06-02 10:38:10 INFO:  test-node-wasm.js platform: linux x64 agent: NodeJS v18.1.0 -2022-06-02 10:38:10 INFO:  test-node-wasm.js tfjs version: 3.18.0 -2022-06-02 10:38:10 STATE: test-node-wasm.js passed: set backend: wasm -2022-06-02 10:38:10 STATE: test-node-wasm.js tensors 1921 -2022-06-02 10:38:10 STATE: test-node-wasm.js passed: load models -2022-06-02 10:38:10 STATE: test-node-wasm.js result: defined models: 22 loaded models: 12 -2022-06-02 10:38:10 STATE: test-node-wasm.js passed: warmup: none default -2022-06-02 10:38:10 DATA:  test-node-wasm.js result: face: 0 body: 0 hand: 0 gesture: 0 object: 0 person: 0 {} {} {} -2022-06-02 10:38:10 DATA:  test-node-wasm.js result: performance: load: null total: null -2022-06-02 10:38:10 STATE: test-node-wasm.js passed: warmup none result match -2022-06-02 10:38:10 STATE: test-node-wasm.js event: image -2022-06-02 10:38:11 STATE: test-node-wasm.js event: detect -2022-06-02 10:38:11 STATE: test-node-wasm.js event: warmup -2022-06-02 10:38:11 STATE: test-node-wasm.js passed: warmup: face default -2022-06-02 10:38:11 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 1 gesture: 6 object: 1 person: 1 {"score":1,"age":23.5,"gender":"female"} {"score":0.82,"class":"person"} {"score":0.47,"keypoints":3} -2022-06-02 10:38:11 DATA:  test-node-wasm.js result: performance: load: null total: 552 -2022-06-02 10:38:11 STATE: test-node-wasm.js passed: warmup face result match -2022-06-02 10:38:11 STATE: test-node-wasm.js event: image -2022-06-02 10:38:11 STATE: test-node-wasm.js event: detect -2022-06-02 10:38:11 STATE: test-node-wasm.js event: warmup -2022-06-02 10:38:11 STATE: test-node-wasm.js passed: warmup: body default -2022-06-02 10:38:11 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 1 gesture: 7 object: 1 person: 1 {"score":1,"age":23.7,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} -2022-06-02 10:38:11 DATA:  test-node-wasm.js result: performance: load: null total: 427 -2022-06-02 10:38:11 STATE: test-node-wasm.js passed: warmup body result match -2022-06-02 10:38:11 STATE: test-node-wasm.js details: {"face":{"boxScore":0.93,"faceScore":1,"age":23.7,"gender":"female","genderScore":0.97},"emotion":[{"score":0.59,"emotion":"angry"},{"score":0.29,"emotion":"fear"}],"body":{"score":0.92,"keypoints":17},"hand":{"boxScore":0.51,"fingerScore":0.73,"keypoints":21},"gestures":[{"face":0,"gesture":"facing right"},{"face":0,"gesture":"mouth 21% open"},{"hand":0,"gesture":"pinky forward"},{"hand":0,"gesture":"palm up"},{"hand":0,"gesture":"open palm"},{"iris":0,"gesture":"looking left"},{"iris":0,"gesture":"looking up"}]} -2022-06-02 10:38:11 INFO:  test-node-wasm.js test: details verification -2022-06-02 10:38:11 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1038921856} -2022-06-02 10:38:11 STATE: test-node-wasm.js event: image -2022-06-02 10:38:12 STATE: test-node-wasm.js event: detect -2022-06-02 10:38:12 STATE: test-node-wasm.js passed: detect: samples/in/ai-body.jpg default -2022-06-02 10:38:12 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 1 gesture: 7 object: 1 person: 1 {"score":1,"age":23.7,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} -2022-06-02 10:38:12 DATA:  test-node-wasm.js result: performance: load: null total: 355 -2022-06-02 10:38:12 STATE: test-node-wasm.js passed: details face length 1 -2022-06-02 10:38:12 STATE: test-node-wasm.js passed: details face score 1 0.93 1 -2022-06-02 10:38:12 STATE: test-node-wasm.js passed: details face age/gender 23.7 female 0.97 85.47 -2022-06-02 10:38:12 STATE: test-node-wasm.js passed: details face arrays 4 478 1024 -2022-06-02 10:38:12 STATE: test-node-wasm.js passed: details face emotion 2 {"score":0.59,"emotion":"angry"} -2022-06-02 10:38:12 STATE: test-node-wasm.js passed: details face anti-spoofing 0.79 -2022-06-02 10:38:12 STATE: test-node-wasm.js passed: details face liveness 0.83 -2022-06-02 10:38:12 STATE: test-node-wasm.js passed: details body length 1 -2022-06-02 10:38:12 STATE: test-node-wasm.js passed: details body 0.92 17 6 -2022-06-02 10:38:12 STATE: test-node-wasm.js passed: details hand length 1 -2022-06-02 10:38:12 STATE: test-node-wasm.js passed: details hand 0.51 0.73 point -2022-06-02 10:38:12 STATE: test-node-wasm.js passed: details hand arrays 21 5 7 -2022-06-02 10:38:12 STATE: test-node-wasm.js passed: details gesture length 7 -2022-06-02 10:38:12 STATE: test-node-wasm.js passed: details gesture first {"face":0,"gesture":"facing right"} -2022-06-02 10:38:12 STATE: test-node-wasm.js passed: details object length 1 -2022-06-02 10:38:12 STATE: test-node-wasm.js passed: details object 0.72 person -2022-06-02 10:38:12 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,4] {"checksum":1413675264} -2022-06-02 10:38:12 STATE: test-node-wasm.js event: image -2022-06-02 10:38:12 STATE: test-node-wasm.js event: detect -2022-06-02 10:38:12 STATE: test-node-wasm.js passed: tensor shape: [1,1200,1200,4] dtype: float32 -2022-06-02 10:38:12 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1200,1200,4] {"checksum":1413675264} -2022-06-02 10:38:13 STATE: test-node-wasm.js event: image -2022-06-02 10:38:13 STATE: test-node-wasm.js event: detect -2022-06-02 10:38:13 STATE: test-node-wasm.js passed: tensor shape: [1200,1200,4] dtype: float32 -2022-06-02 10:38:13 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1038921856} -2022-06-02 10:38:13 STATE: test-node-wasm.js event: image -2022-06-02 10:38:14 STATE: test-node-wasm.js event: detect -2022-06-02 10:38:14 STATE: test-node-wasm.js passed: tensor shape: [1,1200,1200,3] dtype: float32 -2022-06-02 10:38:14 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1200,1200,3] {"checksum":1038921856} -2022-06-02 10:38:14 STATE: test-node-wasm.js event: image -2022-06-02 10:38:14 STATE: test-node-wasm.js event: detect -2022-06-02 10:38:14 STATE: test-node-wasm.js passed: tensor shape: [1200,1200,3] dtype: float32 -2022-06-02 10:38:14 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,4] {"checksum":1371996871} -2022-06-02 10:38:14 STATE: test-node-wasm.js event: image -2022-06-02 10:38:15 STATE: test-node-wasm.js event: detect -2022-06-02 10:38:15 STATE: test-node-wasm.js passed: tensor shape: [1,1200,1200,4] dtype: int32 -2022-06-02 10:38:15 INFO:  test-node-wasm.js test default -2022-06-02 10:38:15 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1038921856} -2022-06-02 10:38:15 STATE: test-node-wasm.js event: image -2022-06-02 10:38:15 STATE: test-node-wasm.js event: detect -2022-06-02 10:38:15 STATE: test-node-wasm.js passed: detect: samples/in/ai-body.jpg default -2022-06-02 10:38:15 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 1 gesture: 8 object: 1 person: 1 {"score":1,"age":29.6,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} -2022-06-02 10:38:15 DATA:  test-node-wasm.js result: performance: load: null total: 376 -2022-06-02 10:38:15 STATE: test-node-wasm.js passed: default result face match 1 female 0.97 -2022-06-02 10:38:15 INFO:  test-node-wasm.js test sync -2022-06-02 10:38:16 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1038921856} -2022-06-02 10:38:16 STATE: test-node-wasm.js event: image -2022-06-02 10:38:16 STATE: test-node-wasm.js event: detect -2022-06-02 10:38:16 STATE: test-node-wasm.js passed: detect: samples/in/ai-body.jpg default -2022-06-02 10:38:16 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 1 gesture: 8 object: 1 person: 1 {"score":1,"age":29.6,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} -2022-06-02 10:38:16 DATA:  test-node-wasm.js result: performance: load: null total: 360 -2022-06-02 10:38:16 STATE: test-node-wasm.js passed: default sync 1 female 0.97 -2022-06-02 10:38:16 INFO:  test-node-wasm.js test: image process -2022-06-02 10:38:16 STATE: test-node-wasm.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34697856} -2022-06-02 10:38:16 STATE: test-node-wasm.js passed: image input null [1,256,256,3] -2022-06-02 10:38:16 INFO:  test-node-wasm.js test: image null -2022-06-02 10:38:16 STATE: test-node-wasm.js passed: invalid input could not convert input to tensor -2022-06-02 10:38:16 INFO:  test-node-wasm.js test face similarity -2022-06-02 10:38:16 STATE: test-node-wasm.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34697856} -2022-06-02 10:38:16 STATE: test-node-wasm.js event: image -2022-06-02 10:38:16 STATE: test-node-wasm.js event: detect -2022-06-02 10:38:16 STATE: test-node-wasm.js passed: detect: samples/in/ai-face.jpg default -2022-06-02 10:38:16 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 1 gesture: 6 object: 1 person: 1 {"score":1,"age":23.5,"gender":"female"} {"score":0.82,"class":"person"} {"score":0.47,"keypoints":3} -2022-06-02 10:38:16 DATA:  test-node-wasm.js result: performance: load: null total: 342 -2022-06-02 10:38:17 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1038921856} -2022-06-02 10:38:17 STATE: test-node-wasm.js event: image -2022-06-02 10:38:17 STATE: test-node-wasm.js event: detect -2022-06-02 10:38:17 STATE: test-node-wasm.js passed: detect: samples/in/ai-body.jpg default -2022-06-02 10:38:17 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 1 gesture: 8 object: 1 person: 1 {"score":1,"age":29.6,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} -2022-06-02 10:38:17 DATA:  test-node-wasm.js result: performance: load: null total: 352 -2022-06-02 10:38:17 STATE: test-node-wasm.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151155104} -2022-06-02 10:38:17 STATE: test-node-wasm.js event: image -2022-06-02 10:38:17 STATE: test-node-wasm.js event: detect -2022-06-02 10:38:17 STATE: test-node-wasm.js passed: detect: samples/in/ai-upper.jpg default -2022-06-02 10:38:17 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 0 gesture: 4 object: 1 person: 1 {"score":1,"age":23.5,"gender":"female"} {"score":0.71,"class":"person"} {"score":0.75,"keypoints":7} -2022-06-02 10:38:17 DATA:  test-node-wasm.js result: performance: load: null total: 332 -2022-06-02 10:38:17 STATE: test-node-wasm.js passed: face descriptor -2022-06-02 10:38:17 STATE: test-node-wasm.js passed: face similarity {"similarity":[1,0.5266119940661309,0.4858842904087851],"descriptors":[1024,1024,1024]} -2022-06-02 10:38:17 INFO:  test-node-wasm.js test face matching -2022-06-02 10:38:17 STATE: test-node-wasm.js passed: face database 40 -2022-06-02 10:38:17 STATE: test-node-wasm.js passed: face match {"first":{"index":4,"similarity":0.7827852754786533}} {"second":{"index":4,"similarity":0.5660821189104794}} {"third":{"index":4,"similarity":0.45074189882665594}} -2022-06-02 10:38:17 INFO:  test-node-wasm.js test object -2022-06-02 10:38:18 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1038921856} -2022-06-02 10:38:18 STATE: test-node-wasm.js event: image -2022-06-02 10:38:18 STATE: test-node-wasm.js event: detect -2022-06-02 10:38:18 STATE: test-node-wasm.js passed: detect: samples/in/ai-body.jpg default -2022-06-02 10:38:18 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 1 gesture: 8 object: 1 person: 1 {"score":1,"age":29.6,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} -2022-06-02 10:38:18 DATA:  test-node-wasm.js result: performance: load: null total: 376 -2022-06-02 10:38:18 STATE: test-node-wasm.js passed: object result match -2022-06-02 10:38:18 INFO:  test-node-wasm.js test sensitive -2022-06-02 10:38:18 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1038921856} -2022-06-02 10:38:18 STATE: test-node-wasm.js event: image -2022-06-02 10:38:19 STATE: test-node-wasm.js event: detect -2022-06-02 10:38:19 STATE: test-node-wasm.js passed: detect: samples/in/ai-body.jpg default -2022-06-02 10:38:19 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 2 gesture: 10 object: 1 person: 1 {"score":1,"age":29.6,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} -2022-06-02 10:38:19 DATA:  test-node-wasm.js result: performance: load: null total: 400 -2022-06-02 10:38:19 STATE: test-node-wasm.js passed: sensitive result match -2022-06-02 10:38:19 STATE: test-node-wasm.js passed: sensitive face result match -2022-06-02 10:38:19 STATE: test-node-wasm.js passed: sensitive face emotion result [{"score":0.46,"emotion":"neutral"},{"score":0.24,"emotion":"fear"},{"score":0.17,"emotion":"sad"}] -2022-06-02 10:38:19 STATE: test-node-wasm.js passed: sensitive body result match -2022-06-02 10:38:19 STATE: test-node-wasm.js passed: sensitive hand result match -2022-06-02 10:38:19 INFO:  test-node-wasm.js test detectors -2022-06-02 10:38:19 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1038921856} -2022-06-02 10:38:19 STATE: test-node-wasm.js event: image -2022-06-02 10:38:19 STATE: test-node-wasm.js event: detect -2022-06-02 10:38:19 STATE: test-node-wasm.js passed: detect: samples/in/ai-body.jpg default -2022-06-02 10:38:19 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 1 gesture: 0 object: 1 person: 1 {"score":0.93} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} -2022-06-02 10:38:19 DATA:  test-node-wasm.js result: performance: load: null total: 265 -2022-06-02 10:38:19 STATE: test-node-wasm.js passed: detector result face match -2022-06-02 10:38:19 STATE: test-node-wasm.js passed: detector result hand match -2022-06-02 10:38:19 INFO:  test-node-wasm.js test: multi-instance -2022-06-02 10:38:19 STATE: test-node-wasm.js event: image -2022-06-02 10:38:19 STATE: test-node-wasm.js event: detect -2022-06-02 10:38:19 STATE: test-node-wasm.js passed: detect: random default -2022-06-02 10:38:19 DATA:  test-node-wasm.js result: face: 0 body: 1 hand: 0 gesture: 0 object: 0 person: 0 {} {} {"score":0.07,"keypoints":15} -2022-06-02 10:38:19 DATA:  test-node-wasm.js result: performance: load: null total: 232 -2022-06-02 10:38:19 INFO:  test-node-wasm.js test: first instance -2022-06-02 10:38:19 STATE: test-node-wasm.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151155104} -2022-06-02 10:38:20 STATE: test-node-wasm.js passed: detect: samples/in/ai-upper.jpg default -2022-06-02 10:38:20 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 0 gesture: 0 object: 1 person: 1 {"score":0.96} {"score":0.71,"class":"person"} {"score":0.75,"keypoints":16} -2022-06-02 10:38:20 DATA:  test-node-wasm.js result: performance: load: null total: 254 -2022-06-02 10:38:20 INFO:  test-node-wasm.js test: second instance -2022-06-02 10:38:20 STATE: test-node-wasm.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151155104} -2022-06-02 10:38:20 STATE: test-node-wasm.js passed: detect: samples/in/ai-upper.jpg default -2022-06-02 10:38:20 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 0 gesture: 0 object: 1 person: 1 {"score":0.96} {"score":0.71,"class":"person"} {"score":0.75,"keypoints":16} -2022-06-02 10:38:20 DATA:  test-node-wasm.js result: performance: load: null total: 229 -2022-06-02 10:38:20 INFO:  test-node-wasm.js test: concurrent -2022-06-02 10:38:20 STATE: test-node-wasm.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34697856} -2022-06-02 10:38:20 STATE: test-node-wasm.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34697856} -2022-06-02 10:38:20 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1038921856} -2022-06-02 10:38:21 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1038921856} -2022-06-02 10:38:21 STATE: test-node-wasm.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151155104} -2022-06-02 10:38:21 STATE: test-node-wasm.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151155104} -2022-06-02 10:38:21 STATE: test-node-wasm.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34697856} -2022-06-02 10:38:21 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1038921856} -2022-06-02 10:38:21 STATE: test-node-wasm.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151155104} -2022-06-02 10:38:21 STATE: test-node-wasm.js event: image -2022-06-02 10:38:21 STATE: test-node-wasm.js event: image -2022-06-02 10:38:21 STATE: test-node-wasm.js event: image -2022-06-02 10:38:23 STATE: test-node-wasm.js passed: detect: samples/in/ai-upper.jpg default -2022-06-02 10:38:23 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 0 gesture: 0 object: 1 person: 1 {"score":0.96} {"score":0.71,"class":"person"} {"score":0.75,"keypoints":16} -2022-06-02 10:38:23 DATA:  test-node-wasm.js result: performance: load: null total: 2190 -2022-06-02 10:38:23 STATE: test-node-wasm.js passed: detect: samples/in/ai-upper.jpg default -2022-06-02 10:38:23 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 0 gesture: 0 object: 1 person: 1 {"score":0.96} {"score":0.71,"class":"person"} {"score":0.75,"keypoints":16} -2022-06-02 10:38:23 DATA:  test-node-wasm.js result: performance: load: null total: 2190 -2022-06-02 10:38:23 STATE: test-node-wasm.js passed: detect: samples/in/ai-face.jpg default -2022-06-02 10:38:23 DATA:  test-node-wasm.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} -2022-06-02 10:38:23 DATA:  test-node-wasm.js result: performance: load: null total: 2419 -2022-06-02 10:38:23 STATE: test-node-wasm.js passed: detect: samples/in/ai-face.jpg default -2022-06-02 10:38:23 DATA:  test-node-wasm.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} -2022-06-02 10:38:23 DATA:  test-node-wasm.js result: performance: load: null total: 2419 -2022-06-02 10:38:23 STATE: test-node-wasm.js passed: detect: samples/in/ai-body.jpg default -2022-06-02 10:38:23 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 1 gesture: 0 object: 1 person: 1 {"score":0.93} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} -2022-06-02 10:38:23 DATA:  test-node-wasm.js result: performance: load: null total: 2419 -2022-06-02 10:38:23 STATE: test-node-wasm.js passed: detect: samples/in/ai-body.jpg default -2022-06-02 10:38:23 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 1 gesture: 0 object: 1 person: 1 {"score":0.93} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} -2022-06-02 10:38:23 DATA:  test-node-wasm.js result: performance: load: null total: 2419 -2022-06-02 10:38:23 STATE: test-node-wasm.js event: detect -2022-06-02 10:38:23 STATE: test-node-wasm.js passed: detect: samples/in/ai-upper.jpg default -2022-06-02 10:38:23 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 0 gesture: 0 object: 1 person: 1 {"score":0.96} {"score":0.71,"class":"person"} {"score":0.75,"keypoints":16} -2022-06-02 10:38:23 DATA:  test-node-wasm.js result: performance: load: null total: 2088 -2022-06-02 10:38:23 STATE: test-node-wasm.js event: detect -2022-06-02 10:38:23 STATE: test-node-wasm.js event: detect -2022-06-02 10:38:23 STATE: test-node-wasm.js passed: detect: samples/in/ai-face.jpg default -2022-06-02 10:38:23 DATA:  test-node-wasm.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} -2022-06-02 10:38:23 DATA:  test-node-wasm.js result: performance: load: null total: 2088 -2022-06-02 10:38:23 STATE: test-node-wasm.js passed: detect: samples/in/ai-body.jpg default -2022-06-02 10:38:23 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 1 gesture: 0 object: 1 person: 1 {"score":0.93} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} -2022-06-02 10:38:23 DATA:  test-node-wasm.js result: performance: load: null total: 2088 -2022-06-02 10:38:23 INFO:  test-node-wasm.js test: monkey-patch -2022-06-02 10:38:23 STATE: test-node-wasm.js event: image -2022-06-02 10:38:23 STATE: test-node-wasm.js event: detect -2022-06-02 10:38:23 STATE: test-node-wasm.js passed: monkey patch -2022-06-02 10:38:23 STATE: test-node-wasm.js passed: segmentation [65536] -2022-06-02 10:38:23 STATE: test-node-wasm.js passeed: equal usage -2022-06-02 10:38:23 INFO:  test-node-wasm.js test: input compare -2022-06-02 10:38:23 STATE: test-node-wasm.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34697856} -2022-06-02 10:38:24 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1038921856} -2022-06-02 10:38:24 STATE: test-node-wasm.js passed: image compare 0 23.280073018790848 -2022-06-02 10:38:24 INFO:  test-node-wasm.js events: {"image":21,"detect":21,"warmup":2} -2022-06-02 10:38:24 INFO:  test-node-wasm.js tensors 1929 -2022-06-02 10:38:24 INFO:  test-node-wasm.js test complete: 14643 ms -2022-06-02 10:38:24 INFO:  all tests complete -2022-06-02 10:38:24 INFO:  failed: {"count":0,"messages":[]} -2022-06-02 10:38:24 INFO:  status: {"test":"test-node.js","passed":101,"failed":0} -2022-06-02 10:38:24 INFO:  status: {"test":"test-node-gpu.js","passed":101,"failed":0} -2022-06-02 10:38:24 INFO:  status: {"test":"test-node-wasm.js","passed":102,"failed":0} +2022-06-08 08:51:32 INFO:  @vladmandic/human version 2.8.1 +2022-06-08 08:51:32 INFO:  User: vlado Platform: linux Arch: x64 Node: v16.15.0 +2022-06-08 08:51:32 INFO:  tests: ["test-node.js","test-node-gpu.js","test-node-wasm.js"] +2022-06-08 08:51:32 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"] +2022-06-08 08:51:32 INFO:  +2022-06-08 08:51:32 INFO:  test-node.js start +2022-06-08 08:51:32 INFO:  test-node.js test: configuration validation +2022-06-08 08:51:32 STATE: test-node.js passed: configuration default validation [] +2022-06-08 08:51:32 STATE: test-node.js passed: configuration invalid validation [{"reason":"unknown property","where":"config.invalid = true"}] +2022-06-08 08:51:32 INFO:  test-node.js test: model load +2022-06-08 08:51:32 STATE: test-node.js passed: models loaded 22 12 [{"name":"ssrnetage","loaded":false,"url":null},{"name":"gear","loaded":false,"url":null},{"name":"blazeposedetect","loaded":false,"url":null},{"name":"blazepose","loaded":false,"url":null},{"name":"centernet","loaded":true,"url":"file://models/mb3-centernet.json"},{"name":"efficientpose","loaded":false,"url":null},{"name":"mobilefacenet","loaded":false,"url":null},{"name":"emotion","loaded":true,"url":"file://models/emotion.json"},{"name":"facedetect","loaded":true,"url":"file://models/blazeface.json"},{"name":"faceiris","loaded":true,"url":"file://models/iris.json"},{"name":"facemesh","loaded":true,"url":"file://models/facemesh.json"},{"name":"faceres","loaded":true,"url":"file://models/faceres.json"},{"name":"ssrnetgender","loaded":false,"url":null},{"name":"handpose","loaded":false,"url":null},{"name":"handskeleton","loaded":true,"url":"file://models/handlandmark-full.json"},{"name":"handtrack","loaded":true,"url":"file://models/handtrack.json"},{"name":"liveness","loaded":true,"url":"file://models/liveness.json"},{"name":"movenet","loaded":true,"url":"file://models/movenet-lightning.json"},{"name":"nanodet","loaded":false,"url":null},{"name":"posenet","loaded":false,"url":null},{"name":"segmentation","loaded":true,"url":"file://models/selfie.json"},{"name":"antispoof","loaded":true,"url":"file://models/antispoof.json"}] +2022-06-08 08:51:32 INFO:  test-node.js test: warmup +2022-06-08 08:51:32 STATE: test-node.js passed: create human +2022-06-08 08:51:32 INFO:  test-node.js human version: 2.8.1 +2022-06-08 08:51:32 INFO:  test-node.js platform: linux x64 agent: NodeJS v16.15.0 +2022-06-08 08:51:32 INFO:  test-node.js tfjs version: 3.18.0 +2022-06-08 08:51:32 INFO:  test-node.js tensorflow binding version: 2.7.0-dev20211101 +2022-06-08 08:51:32 STATE: test-node.js passed: set backend: tensorflow +2022-06-08 08:51:32 STATE: test-node.js tensors 1921 +2022-06-08 08:51:32 STATE: test-node.js passed: load models +2022-06-08 08:51:32 STATE: test-node.js result: defined models: 22 loaded models: 12 +2022-06-08 08:51:32 STATE: test-node.js passed: warmup: none default +2022-06-08 08:51:32 DATA:  test-node.js result: face: 0 body: 0 hand: 0 gesture: 0 object: 0 person: 0 {} {} {} +2022-06-08 08:51:32 DATA:  test-node.js result: performance: load: null total: null +2022-06-08 08:51:32 STATE: test-node.js passed: warmup none result match +2022-06-08 08:51:32 STATE: test-node.js event: image +2022-06-08 08:51:32 STATE: test-node.js event: detect +2022-06-08 08:51:32 STATE: test-node.js event: warmup +2022-06-08 08:51:32 STATE: test-node.js passed: warmup: face default +2022-06-08 08:51:32 DATA:  test-node.js result: face: 1 body: 1 hand: 1 gesture: 7 object: 1 person: 1 {"score":1,"age":23.5,"gender":"female"} {"score":0.82,"class":"person"} {"score":0.42,"keypoints":4} +2022-06-08 08:51:32 DATA:  test-node.js result: performance: load: null total: 325 +2022-06-08 08:51:32 STATE: test-node.js passed: warmup face result match +2022-06-08 08:51:32 STATE: test-node.js event: image +2022-06-08 08:51:33 STATE: test-node.js event: detect +2022-06-08 08:51:33 STATE: test-node.js event: warmup +2022-06-08 08:51:33 STATE: test-node.js passed: warmup: body default +2022-06-08 08:51:33 DATA:  test-node.js result: face: 1 body: 1 hand: 1 gesture: 7 object: 1 person: 1 {"score":1,"age":23.7,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} +2022-06-08 08:51:33 DATA:  test-node.js result: performance: load: null total: 246 +2022-06-08 08:51:33 STATE: test-node.js passed: warmup body result match +2022-06-08 08:51:33 STATE: test-node.js details: {"face":{"boxScore":0.92,"faceScore":1,"age":23.7,"gender":"female","genderScore":0.97},"emotion":[{"score":0.63,"emotion":"angry"},{"score":0.22,"emotion":"fear"}],"body":{"score":0.92,"keypoints":17},"hand":{"boxScore":0.52,"fingerScore":0.73,"keypoints":21},"gestures":[{"face":0,"gesture":"facing right"},{"face":0,"gesture":"mouth 10% open"},{"hand":0,"gesture":"pinky forward"},{"hand":0,"gesture":"palm up"},{"hand":0,"gesture":"open palm"},{"iris":0,"gesture":"looking left"},{"iris":0,"gesture":"looking up"}]} +2022-06-08 08:51:33 INFO:  test-node.js test: details verification +2022-06-08 08:51:33 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} +2022-06-08 08:51:33 STATE: test-node.js event: image +2022-06-08 08:51:33 STATE: test-node.js event: detect +2022-06-08 08:51:33 STATE: test-node.js passed: detect: samples/in/ai-body.jpg default +2022-06-08 08:51:33 DATA:  test-node.js result: face: 1 body: 1 hand: 1 gesture: 7 object: 1 person: 1 {"score":1,"age":23.7,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} +2022-06-08 08:51:33 DATA:  test-node.js result: performance: load: null total: 232 +2022-06-08 08:51:33 STATE: test-node.js passed: details face length 1 +2022-06-08 08:51:33 STATE: test-node.js passed: details face score 1 0.93 1 +2022-06-08 08:51:33 STATE: test-node.js passed: details face age/gender 23.7 female 0.97 85.47 +2022-06-08 08:51:33 STATE: test-node.js passed: details face arrays 4 478 1024 +2022-06-08 08:51:33 STATE: test-node.js passed: details face emotion 2 {"score":0.59,"emotion":"angry"} +2022-06-08 08:51:33 STATE: test-node.js passed: details face anti-spoofing 0.79 +2022-06-08 08:51:33 STATE: test-node.js passed: details face liveness 0.83 +2022-06-08 08:51:33 STATE: test-node.js passed: details body length 1 +2022-06-08 08:51:33 STATE: test-node.js passed: details body 0.92 17 6 +2022-06-08 08:51:33 STATE: test-node.js passed: details hand length 1 +2022-06-08 08:51:33 STATE: test-node.js passed: details hand 0.51 0.73 point +2022-06-08 08:51:33 STATE: test-node.js passed: details hand arrays 21 5 7 +2022-06-08 08:51:33 STATE: test-node.js passed: details gesture length 7 +2022-06-08 08:51:33 STATE: test-node.js passed: details gesture first {"face":0,"gesture":"facing right"} +2022-06-08 08:51:33 STATE: test-node.js passed: details object length 1 +2022-06-08 08:51:33 STATE: test-node.js passed: details object 0.72 person +2022-06-08 08:51:33 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,4] {"checksum":1371996928} +2022-06-08 08:51:33 STATE: test-node.js event: image +2022-06-08 08:51:33 STATE: test-node.js event: detect +2022-06-08 08:51:33 STATE: test-node.js passed: tensor shape: [1,1200,1200,4] dtype: float32 +2022-06-08 08:51:34 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1200,1200,4] {"checksum":1371996928} +2022-06-08 08:51:34 STATE: test-node.js event: image +2022-06-08 08:51:34 STATE: test-node.js event: detect +2022-06-08 08:51:34 STATE: test-node.js passed: tensor shape: [1200,1200,4] dtype: float32 +2022-06-08 08:51:34 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} +2022-06-08 08:51:34 STATE: test-node.js event: image +2022-06-08 08:51:34 STATE: test-node.js event: detect +2022-06-08 08:51:34 STATE: test-node.js passed: tensor shape: [1,1200,1200,3] dtype: float32 +2022-06-08 08:51:34 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1200,1200,3] {"checksum":1004796864} +2022-06-08 08:51:34 STATE: test-node.js event: image +2022-06-08 08:51:35 STATE: test-node.js event: detect +2022-06-08 08:51:35 STATE: test-node.js passed: tensor shape: [1200,1200,3] dtype: float32 +2022-06-08 08:51:35 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,4] {"checksum":1371996871} +2022-06-08 08:51:35 STATE: test-node.js event: image +2022-06-08 08:51:35 STATE: test-node.js event: detect +2022-06-08 08:51:35 STATE: test-node.js passed: tensor shape: [1,1200,1200,4] dtype: int32 +2022-06-08 08:51:35 INFO:  test-node.js test default +2022-06-08 08:51:35 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} +2022-06-08 08:51:35 STATE: test-node.js event: image +2022-06-08 08:51:35 STATE: test-node.js event: detect +2022-06-08 08:51:35 STATE: test-node.js passed: detect: samples/in/ai-body.jpg default +2022-06-08 08:51:35 DATA:  test-node.js result: face: 1 body: 1 hand: 1 gesture: 7 object: 1 person: 1 {"score":1,"age":23.7,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} +2022-06-08 08:51:35 DATA:  test-node.js result: performance: load: null total: 211 +2022-06-08 08:51:35 STATE: test-node.js passed: default result face match 1 female 0.97 +2022-06-08 08:51:35 INFO:  test-node.js test sync +2022-06-08 08:51:36 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} +2022-06-08 08:51:36 STATE: test-node.js event: image +2022-06-08 08:51:36 STATE: test-node.js event: detect +2022-06-08 08:51:36 STATE: test-node.js passed: detect: samples/in/ai-body.jpg default +2022-06-08 08:51:36 DATA:  test-node.js result: face: 1 body: 1 hand: 1 gesture: 7 object: 1 person: 1 {"score":1,"age":23.7,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} +2022-06-08 08:51:36 DATA:  test-node.js result: performance: load: null total: 206 +2022-06-08 08:51:36 STATE: test-node.js passed: default sync 1 female 0.97 +2022-06-08 08:51:36 INFO:  test-node.js test: image process +2022-06-08 08:51:36 STATE: test-node.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34696120} +2022-06-08 08:51:36 STATE: test-node.js passed: image input null [1,256,256,3] +2022-06-08 08:51:36 INFO:  test-node.js test: image null +2022-06-08 08:51:36 STATE: test-node.js passed: invalid input could not convert input to tensor +2022-06-08 08:51:36 INFO:  test-node.js test face similarity +2022-06-08 08:51:36 STATE: test-node.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34696120} +2022-06-08 08:51:36 STATE: test-node.js event: image +2022-06-08 08:51:36 STATE: test-node.js event: detect +2022-06-08 08:51:36 STATE: test-node.js passed: detect: samples/in/ai-face.jpg default +2022-06-08 08:51:36 DATA:  test-node.js result: face: 1 body: 1 hand: 1 gesture: 6 object: 1 person: 1 {"score":1,"age":23.5,"gender":"female"} {"score":0.82,"class":"person"} {"score":0.47,"keypoints":3} +2022-06-08 08:51:36 DATA:  test-node.js result: performance: load: null total: 198 +2022-06-08 08:51:36 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} +2022-06-08 08:51:36 STATE: test-node.js event: image +2022-06-08 08:51:36 STATE: test-node.js event: detect +2022-06-08 08:51:36 STATE: test-node.js passed: detect: samples/in/ai-body.jpg default +2022-06-08 08:51:36 DATA:  test-node.js result: face: 1 body: 1 hand: 1 gesture: 7 object: 1 person: 1 {"score":1,"age":23.7,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} +2022-06-08 08:51:36 DATA:  test-node.js result: performance: load: null total: 203 +2022-06-08 08:51:36 STATE: test-node.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151289024} +2022-06-08 08:51:36 STATE: test-node.js event: image +2022-06-08 08:51:37 STATE: test-node.js event: detect +2022-06-08 08:51:37 STATE: test-node.js passed: detect: samples/in/ai-upper.jpg default +2022-06-08 08:51:37 DATA:  test-node.js result: face: 1 body: 1 hand: 0 gesture: 4 object: 1 person: 1 {"score":1,"age":23.5,"gender":"female"} {"score":0.71,"class":"person"} {"score":0.75,"keypoints":7} +2022-06-08 08:51:37 DATA:  test-node.js result: performance: load: null total: 183 +2022-06-08 08:51:37 STATE: test-node.js passed: face descriptor +2022-06-08 08:51:37 STATE: test-node.js passed: face similarity {"similarity":[1,0.44727452329649126,0.5567935850640406],"descriptors":[1024,1024,1024]} +2022-06-08 08:51:37 INFO:  test-node.js test face matching +2022-06-08 08:51:37 STATE: test-node.js passed: face database 40 +2022-06-08 08:51:37 STATE: test-node.js passed: face match {"first":{"index":4,"similarity":0.7827852615252829}} {"second":{"index":4,"similarity":0.5002052633015844}} {"third":{"index":4,"similarity":0.5401587887998899}} +2022-06-08 08:51:37 INFO:  test-node.js test object +2022-06-08 08:51:37 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} +2022-06-08 08:51:37 STATE: test-node.js event: image +2022-06-08 08:51:37 STATE: test-node.js event: detect +2022-06-08 08:51:37 STATE: test-node.js passed: detect: samples/in/ai-body.jpg default +2022-06-08 08:51:37 DATA:  test-node.js result: face: 1 body: 1 hand: 1 gesture: 7 object: 1 person: 1 {"score":1,"age":23.7,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} +2022-06-08 08:51:37 DATA:  test-node.js result: performance: load: null total: 203 +2022-06-08 08:51:37 STATE: test-node.js passed: object result match +2022-06-08 08:51:37 INFO:  test-node.js test sensitive +2022-06-08 08:51:37 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} +2022-06-08 08:51:37 STATE: test-node.js event: image +2022-06-08 08:51:37 STATE: test-node.js event: detect +2022-06-08 08:51:37 STATE: test-node.js passed: detect: samples/in/ai-body.jpg default +2022-06-08 08:51:37 DATA:  test-node.js result: face: 1 body: 1 hand: 2 gesture: 9 object: 1 person: 1 {"score":1,"age":23.7,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} +2022-06-08 08:51:37 DATA:  test-node.js result: performance: load: null total: 218 +2022-06-08 08:51:37 STATE: test-node.js passed: sensitive result match +2022-06-08 08:51:37 STATE: test-node.js passed: sensitive face result match +2022-06-08 08:51:37 STATE: test-node.js passed: sensitive face emotion result [{"score":0.59,"emotion":"angry"},{"score":0.29,"emotion":"fear"}] +2022-06-08 08:51:37 STATE: test-node.js passed: sensitive body result match +2022-06-08 08:51:37 STATE: test-node.js passed: sensitive hand result match +2022-06-08 08:51:37 INFO:  test-node.js test detectors +2022-06-08 08:51:38 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} +2022-06-08 08:51:38 STATE: test-node.js event: image +2022-06-08 08:51:38 STATE: test-node.js event: detect +2022-06-08 08:51:38 STATE: test-node.js passed: detect: samples/in/ai-body.jpg default +2022-06-08 08:51:38 DATA:  test-node.js result: face: 1 body: 1 hand: 1 gesture: 0 object: 1 person: 1 {"score":0.93} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} +2022-06-08 08:51:38 DATA:  test-node.js result: performance: load: null total: 137 +2022-06-08 08:51:38 STATE: test-node.js passed: detector result face match +2022-06-08 08:51:38 STATE: test-node.js passed: detector result hand match +2022-06-08 08:51:38 INFO:  test-node.js test: multi-instance +2022-06-08 08:51:38 STATE: test-node.js event: image +2022-06-08 08:51:38 STATE: test-node.js event: detect +2022-06-08 08:51:38 STATE: test-node.js passed: detect: random default +2022-06-08 08:51:38 DATA:  test-node.js result: face: 0 body: 1 hand: 0 gesture: 0 object: 0 person: 0 {} {} {"score":0.07,"keypoints":15} +2022-06-08 08:51:38 DATA:  test-node.js result: performance: load: null total: 130 +2022-06-08 08:51:38 INFO:  test-node.js test: first instance +2022-06-08 08:51:38 STATE: test-node.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151289024} +2022-06-08 08:51:38 STATE: test-node.js passed: detect: samples/in/ai-upper.jpg default +2022-06-08 08:51:38 DATA:  test-node.js result: face: 1 body: 1 hand: 0 gesture: 0 object: 1 person: 1 {"score":0.96} {"score":0.71,"class":"person"} {"score":0.75,"keypoints":16} +2022-06-08 08:51:38 DATA:  test-node.js result: performance: load: null total: 135 +2022-06-08 08:51:38 INFO:  test-node.js test: second instance +2022-06-08 08:51:38 STATE: test-node.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151289024} +2022-06-08 08:51:38 STATE: test-node.js passed: detect: samples/in/ai-upper.jpg default +2022-06-08 08:51:38 DATA:  test-node.js result: face: 1 body: 1 hand: 0 gesture: 0 object: 1 person: 1 {"score":0.96} {"score":0.71,"class":"person"} {"score":0.75,"keypoints":16} +2022-06-08 08:51:38 DATA:  test-node.js result: performance: load: null total: 130 +2022-06-08 08:51:38 INFO:  test-node.js test: concurrent +2022-06-08 08:51:38 STATE: test-node.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34696120} +2022-06-08 08:51:38 STATE: test-node.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34696120} +2022-06-08 08:51:39 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} +2022-06-08 08:51:39 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} +2022-06-08 08:51:39 STATE: test-node.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151289024} +2022-06-08 08:51:39 STATE: test-node.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151289024} +2022-06-08 08:51:39 STATE: test-node.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34696120} +2022-06-08 08:51:39 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} +2022-06-08 08:51:39 STATE: test-node.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151289024} +2022-06-08 08:51:39 STATE: test-node.js event: image +2022-06-08 08:51:39 STATE: test-node.js event: image +2022-06-08 08:51:39 STATE: test-node.js event: image +2022-06-08 08:51:40 STATE: test-node.js passed: detect: samples/in/ai-upper.jpg default +2022-06-08 08:51:40 DATA:  test-node.js result: face: 1 body: 1 hand: 0 gesture: 0 object: 1 person: 1 {"score":0.96} {"score":0.71,"class":"person"} {"score":0.75,"keypoints":16} +2022-06-08 08:51:40 DATA:  test-node.js result: performance: load: null total: 1364 +2022-06-08 08:51:40 STATE: test-node.js passed: detect: samples/in/ai-upper.jpg default +2022-06-08 08:51:40 DATA:  test-node.js result: face: 1 body: 1 hand: 0 gesture: 0 object: 1 person: 1 {"score":0.96} {"score":0.71,"class":"person"} {"score":0.75,"keypoints":16} +2022-06-08 08:51:40 DATA:  test-node.js result: performance: load: null total: 1364 +2022-06-08 08:51:40 STATE: test-node.js passed: detect: samples/in/ai-face.jpg default +2022-06-08 08:51:40 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} +2022-06-08 08:51:40 DATA:  test-node.js result: performance: load: null total: 1485 +2022-06-08 08:51:40 STATE: test-node.js passed: detect: samples/in/ai-face.jpg default +2022-06-08 08:51:40 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} +2022-06-08 08:51:40 DATA:  test-node.js result: performance: load: null total: 1485 +2022-06-08 08:51:40 STATE: test-node.js passed: detect: samples/in/ai-body.jpg default +2022-06-08 08:51:40 DATA:  test-node.js result: face: 1 body: 1 hand: 1 gesture: 0 object: 1 person: 1 {"score":0.93} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} +2022-06-08 08:51:40 DATA:  test-node.js result: performance: load: null total: 1485 +2022-06-08 08:51:40 STATE: test-node.js passed: detect: samples/in/ai-body.jpg default +2022-06-08 08:51:40 DATA:  test-node.js result: face: 1 body: 1 hand: 1 gesture: 0 object: 1 person: 1 {"score":0.93} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} +2022-06-08 08:51:40 DATA:  test-node.js result: performance: load: null total: 1485 +2022-06-08 08:51:40 STATE: test-node.js event: detect +2022-06-08 08:51:40 STATE: test-node.js passed: detect: samples/in/ai-upper.jpg default +2022-06-08 08:51:40 DATA:  test-node.js result: face: 1 body: 1 hand: 0 gesture: 0 object: 1 person: 1 {"score":0.96} {"score":0.71,"class":"person"} {"score":0.75,"keypoints":16} +2022-06-08 08:51:40 DATA:  test-node.js result: performance: load: null total: 1239 +2022-06-08 08:51:40 STATE: test-node.js event: detect +2022-06-08 08:51:40 STATE: test-node.js event: detect +2022-06-08 08:51:40 STATE: test-node.js passed: detect: samples/in/ai-face.jpg default +2022-06-08 08:51:40 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} +2022-06-08 08:51:40 DATA:  test-node.js result: performance: load: null total: 1239 +2022-06-08 08:51:40 STATE: test-node.js passed: detect: samples/in/ai-body.jpg default +2022-06-08 08:51:40 DATA:  test-node.js result: face: 1 body: 1 hand: 1 gesture: 0 object: 1 person: 1 {"score":0.93} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} +2022-06-08 08:51:40 DATA:  test-node.js result: performance: load: null total: 1239 +2022-06-08 08:51:40 INFO:  test-node.js test: monkey-patch +2022-06-08 08:51:40 STATE: test-node.js event: image +2022-06-08 08:51:40 STATE: test-node.js event: detect +2022-06-08 08:51:40 STATE: test-node.js passed: monkey patch +2022-06-08 08:51:40 STATE: test-node.js passed: segmentation [65536] +2022-06-08 08:51:40 STATE: test-node.js passeed: equal usage +2022-06-08 08:51:40 INFO:  test-node.js test: input compare +2022-06-08 08:51:41 STATE: test-node.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34696120} +2022-06-08 08:51:41 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} +2022-06-08 08:51:41 STATE: test-node.js passed: image compare 0 23.275441687091504 +2022-06-08 08:51:41 INFO:  test-node.js events: {"image":21,"detect":21,"warmup":2} +2022-06-08 08:51:41 INFO:  test-node.js tensors 1927 +2022-06-08 08:51:41 INFO:  test-node.js test complete: 8781 ms +2022-06-08 08:51:41 INFO:  +2022-06-08 08:51:41 INFO:  test-node-gpu.js start +2022-06-08 08:51:42 INFO:  test-node-gpu.js test: configuration validation +2022-06-08 08:51:42 STATE: test-node-gpu.js passed: configuration default validation [] +2022-06-08 08:51:42 STATE: test-node-gpu.js passed: configuration invalid validation [{"reason":"unknown property","where":"config.invalid = true"}] +2022-06-08 08:51:42 INFO:  test-node-gpu.js test: model load +2022-06-08 08:51:42 STATE: test-node-gpu.js passed: models loaded 22 12 [{"name":"ssrnetage","loaded":false,"url":null},{"name":"gear","loaded":false,"url":null},{"name":"blazeposedetect","loaded":false,"url":null},{"name":"blazepose","loaded":false,"url":null},{"name":"centernet","loaded":true,"url":"file://models/mb3-centernet.json"},{"name":"efficientpose","loaded":false,"url":null},{"name":"mobilefacenet","loaded":false,"url":null},{"name":"emotion","loaded":true,"url":"file://models/emotion.json"},{"name":"facedetect","loaded":true,"url":"file://models/blazeface.json"},{"name":"faceiris","loaded":true,"url":"file://models/iris.json"},{"name":"facemesh","loaded":true,"url":"file://models/facemesh.json"},{"name":"faceres","loaded":true,"url":"file://models/faceres.json"},{"name":"ssrnetgender","loaded":false,"url":null},{"name":"handpose","loaded":false,"url":null},{"name":"handskeleton","loaded":true,"url":"file://models/handlandmark-full.json"},{"name":"handtrack","loaded":true,"url":"file://models/handtrack.json"},{"name":"liveness","loaded":true,"url":"file://models/liveness.json"},{"name":"movenet","loaded":true,"url":"file://models/movenet-lightning.json"},{"name":"nanodet","loaded":false,"url":null},{"name":"posenet","loaded":false,"url":null},{"name":"segmentation","loaded":true,"url":"file://models/selfie.json"},{"name":"antispoof","loaded":true,"url":"file://models/antispoof.json"}] +2022-06-08 08:51:42 INFO:  test-node-gpu.js test: warmup +2022-06-08 08:51:42 STATE: test-node-gpu.js passed: create human +2022-06-08 08:51:42 INFO:  test-node-gpu.js human version: 2.8.1 +2022-06-08 08:51:42 INFO:  test-node-gpu.js platform: linux x64 agent: NodeJS v16.15.0 +2022-06-08 08:51:42 INFO:  test-node-gpu.js tfjs version: 3.18.0 +2022-06-08 08:51:42 INFO:  test-node-gpu.js tensorflow binding version: 2.7.0-dev20211101 +2022-06-08 08:51:42 STATE: test-node-gpu.js passed: set backend: tensorflow +2022-06-08 08:51:42 STATE: test-node-gpu.js tensors 1921 +2022-06-08 08:51:42 STATE: test-node-gpu.js passed: load models +2022-06-08 08:51:42 STATE: test-node-gpu.js result: defined models: 22 loaded models: 12 +2022-06-08 08:51:42 STATE: test-node-gpu.js passed: warmup: none default +2022-06-08 08:51:42 DATA:  test-node-gpu.js result: face: 0 body: 0 hand: 0 gesture: 0 object: 0 person: 0 {} {} {} +2022-06-08 08:51:42 DATA:  test-node-gpu.js result: performance: load: null total: null +2022-06-08 08:51:42 STATE: test-node-gpu.js passed: warmup none result match +2022-06-08 08:51:42 STATE: test-node-gpu.js event: image +2022-06-08 08:51:44 STATE: test-node-gpu.js event: detect +2022-06-08 08:51:44 STATE: test-node-gpu.js event: warmup +2022-06-08 08:51:44 STATE: test-node-gpu.js passed: warmup: face default +2022-06-08 08:51:44 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 1 gesture: 7 object: 1 person: 1 {"score":1,"age":23.5,"gender":"female"} {"score":0.82,"class":"person"} {"score":0.42,"keypoints":4} +2022-06-08 08:51:44 DATA:  test-node-gpu.js result: performance: load: null total: 2137 +2022-06-08 08:51:44 STATE: test-node-gpu.js passed: warmup face result match +2022-06-08 08:51:44 STATE: test-node-gpu.js event: image +2022-06-08 08:51:44 STATE: test-node-gpu.js event: detect +2022-06-08 08:51:44 STATE: test-node-gpu.js event: warmup +2022-06-08 08:51:44 STATE: test-node-gpu.js passed: warmup: body default +2022-06-08 08:51:44 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 1 gesture: 7 object: 1 person: 1 {"score":1,"age":23.7,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} +2022-06-08 08:51:44 DATA:  test-node-gpu.js result: performance: load: null total: 223 +2022-06-08 08:51:44 STATE: test-node-gpu.js passed: warmup body result match +2022-06-08 08:51:44 STATE: test-node-gpu.js details: {"face":{"boxScore":0.92,"faceScore":1,"age":23.7,"gender":"female","genderScore":0.97},"emotion":[{"score":0.63,"emotion":"angry"},{"score":0.22,"emotion":"fear"}],"body":{"score":0.92,"keypoints":17},"hand":{"boxScore":0.52,"fingerScore":0.73,"keypoints":21},"gestures":[{"face":0,"gesture":"facing right"},{"face":0,"gesture":"mouth 10% open"},{"hand":0,"gesture":"pinky forward"},{"hand":0,"gesture":"palm up"},{"hand":0,"gesture":"open palm"},{"iris":0,"gesture":"looking left"},{"iris":0,"gesture":"looking up"}]} +2022-06-08 08:51:44 INFO:  test-node-gpu.js test: details verification +2022-06-08 08:51:45 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796928} +2022-06-08 08:51:45 STATE: test-node-gpu.js event: image +2022-06-08 08:51:45 STATE: test-node-gpu.js event: detect +2022-06-08 08:51:45 STATE: test-node-gpu.js passed: detect: samples/in/ai-body.jpg default +2022-06-08 08:51:45 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 1 gesture: 7 object: 1 person: 1 {"score":1,"age":23.7,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} +2022-06-08 08:51:45 DATA:  test-node-gpu.js result: performance: load: null total: 172 +2022-06-08 08:51:45 STATE: test-node-gpu.js passed: details face length 1 +2022-06-08 08:51:45 STATE: test-node-gpu.js passed: details face score 1 0.93 1 +2022-06-08 08:51:45 STATE: test-node-gpu.js passed: details face age/gender 23.7 female 0.97 85.47 +2022-06-08 08:51:45 STATE: test-node-gpu.js passed: details face arrays 4 478 1024 +2022-06-08 08:51:45 STATE: test-node-gpu.js passed: details face emotion 2 {"score":0.59,"emotion":"angry"} +2022-06-08 08:51:45 STATE: test-node-gpu.js passed: details face anti-spoofing 0.79 +2022-06-08 08:51:45 STATE: test-node-gpu.js passed: details face liveness 0.83 +2022-06-08 08:51:45 STATE: test-node-gpu.js passed: details body length 1 +2022-06-08 08:51:45 STATE: test-node-gpu.js passed: details body 0.92 17 6 +2022-06-08 08:51:45 STATE: test-node-gpu.js passed: details hand length 1 +2022-06-08 08:51:45 STATE: test-node-gpu.js passed: details hand 0.51 0.73 point +2022-06-08 08:51:45 STATE: test-node-gpu.js passed: details hand arrays 21 5 7 +2022-06-08 08:51:45 STATE: test-node-gpu.js passed: details gesture length 7 +2022-06-08 08:51:45 STATE: test-node-gpu.js passed: details gesture first {"face":0,"gesture":"facing right"} +2022-06-08 08:51:45 STATE: test-node-gpu.js passed: details object length 1 +2022-06-08 08:51:45 STATE: test-node-gpu.js passed: details object 0.72 person +2022-06-08 08:51:45 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,4] {"checksum":1371996928} +2022-06-08 08:51:45 STATE: test-node-gpu.js event: image +2022-06-08 08:51:45 STATE: test-node-gpu.js event: detect +2022-06-08 08:51:45 STATE: test-node-gpu.js passed: tensor shape: [1,1200,1200,4] dtype: float32 +2022-06-08 08:51:45 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1200,1200,4] {"checksum":1371996928} +2022-06-08 08:51:45 STATE: test-node-gpu.js event: image +2022-06-08 08:51:46 STATE: test-node-gpu.js event: detect +2022-06-08 08:51:46 STATE: test-node-gpu.js passed: tensor shape: [1200,1200,4] dtype: float32 +2022-06-08 08:51:46 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796928} +2022-06-08 08:51:46 STATE: test-node-gpu.js event: image +2022-06-08 08:51:46 STATE: test-node-gpu.js event: detect +2022-06-08 08:51:46 STATE: test-node-gpu.js passed: tensor shape: [1,1200,1200,3] dtype: float32 +2022-06-08 08:51:46 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1200,1200,3] {"checksum":1004796928} +2022-06-08 08:51:46 STATE: test-node-gpu.js event: image +2022-06-08 08:51:46 STATE: test-node-gpu.js event: detect +2022-06-08 08:51:46 STATE: test-node-gpu.js passed: tensor shape: [1200,1200,3] dtype: float32 +2022-06-08 08:51:46 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,4] {"checksum":1371996871} +2022-06-08 08:51:46 STATE: test-node-gpu.js event: image +2022-06-08 08:51:47 STATE: test-node-gpu.js event: detect +2022-06-08 08:51:47 STATE: test-node-gpu.js passed: tensor shape: [1,1200,1200,4] dtype: int32 +2022-06-08 08:51:47 INFO:  test-node-gpu.js test default +2022-06-08 08:51:47 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796928} +2022-06-08 08:51:47 STATE: test-node-gpu.js event: image +2022-06-08 08:51:47 STATE: test-node-gpu.js event: detect +2022-06-08 08:51:47 STATE: test-node-gpu.js passed: detect: samples/in/ai-body.jpg default +2022-06-08 08:51:47 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 1 gesture: 7 object: 1 person: 1 {"score":1,"age":23.7,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} +2022-06-08 08:51:47 DATA:  test-node-gpu.js result: performance: load: null total: 140 +2022-06-08 08:51:47 STATE: test-node-gpu.js passed: default result face match 1 female 0.97 +2022-06-08 08:51:47 INFO:  test-node-gpu.js test sync +2022-06-08 08:51:47 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796928} +2022-06-08 08:51:47 STATE: test-node-gpu.js event: image +2022-06-08 08:51:47 STATE: test-node-gpu.js event: detect +2022-06-08 08:51:47 STATE: test-node-gpu.js passed: detect: samples/in/ai-body.jpg default +2022-06-08 08:51:47 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 1 gesture: 7 object: 1 person: 1 {"score":1,"age":23.7,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} +2022-06-08 08:51:47 DATA:  test-node-gpu.js result: performance: load: null total: 186 +2022-06-08 08:51:47 STATE: test-node-gpu.js passed: default sync 1 female 0.97 +2022-06-08 08:51:47 INFO:  test-node-gpu.js test: image process +2022-06-08 08:51:47 STATE: test-node-gpu.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34696120} +2022-06-08 08:51:47 STATE: test-node-gpu.js passed: image input null [1,256,256,3] +2022-06-08 08:51:47 INFO:  test-node-gpu.js test: image null +2022-06-08 08:51:47 STATE: test-node-gpu.js passed: invalid input could not convert input to tensor +2022-06-08 08:51:47 INFO:  test-node-gpu.js test face similarity +2022-06-08 08:51:47 STATE: test-node-gpu.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34696120} +2022-06-08 08:51:47 STATE: test-node-gpu.js event: image +2022-06-08 08:51:47 STATE: test-node-gpu.js event: detect +2022-06-08 08:51:47 STATE: test-node-gpu.js passed: detect: samples/in/ai-face.jpg default +2022-06-08 08:51:47 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 1 gesture: 6 object: 1 person: 1 {"score":1,"age":23.5,"gender":"female"} {"score":0.82,"class":"person"} {"score":0.47,"keypoints":3} +2022-06-08 08:51:47 DATA:  test-node-gpu.js result: performance: load: null total: 138 +2022-06-08 08:51:48 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796928} +2022-06-08 08:51:48 STATE: test-node-gpu.js event: image +2022-06-08 08:51:48 STATE: test-node-gpu.js event: detect +2022-06-08 08:51:48 STATE: test-node-gpu.js passed: detect: samples/in/ai-body.jpg default +2022-06-08 08:51:48 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 1 gesture: 7 object: 1 person: 1 {"score":1,"age":23.7,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} +2022-06-08 08:51:48 DATA:  test-node-gpu.js result: performance: load: null total: 153 +2022-06-08 08:51:48 STATE: test-node-gpu.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151289056} +2022-06-08 08:51:48 STATE: test-node-gpu.js event: image +2022-06-08 08:51:48 STATE: test-node-gpu.js event: detect +2022-06-08 08:51:48 STATE: test-node-gpu.js passed: detect: samples/in/ai-upper.jpg default +2022-06-08 08:51:48 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 0 gesture: 4 object: 1 person: 1 {"score":1,"age":23.5,"gender":"female"} {"score":0.71,"class":"person"} {"score":0.75,"keypoints":7} +2022-06-08 08:51:48 DATA:  test-node-gpu.js result: performance: load: null total: 186 +2022-06-08 08:51:48 STATE: test-node-gpu.js passed: face descriptor +2022-06-08 08:51:48 STATE: test-node-gpu.js passed: face similarity {"similarity":[1,0.447238756461232,0.556914029877052],"descriptors":[1024,1024,1024]} +2022-06-08 08:51:48 INFO:  test-node-gpu.js test face matching +2022-06-08 08:51:48 STATE: test-node-gpu.js passed: face database 40 +2022-06-08 08:51:48 STATE: test-node-gpu.js passed: face match {"first":{"index":4,"similarity":0.7828184453007331}} {"second":{"index":4,"similarity":0.5001334216773398}} {"third":{"index":4,"similarity":0.5403054967489764}} +2022-06-08 08:51:48 INFO:  test-node-gpu.js test object +2022-06-08 08:51:48 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796928} +2022-06-08 08:51:48 STATE: test-node-gpu.js event: image +2022-06-08 08:51:48 STATE: test-node-gpu.js event: detect +2022-06-08 08:51:48 STATE: test-node-gpu.js passed: detect: samples/in/ai-body.jpg default +2022-06-08 08:51:48 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 1 gesture: 7 object: 1 person: 1 {"score":1,"age":23.7,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} +2022-06-08 08:51:48 DATA:  test-node-gpu.js result: performance: load: null total: 212 +2022-06-08 08:51:48 STATE: test-node-gpu.js passed: object result match +2022-06-08 08:51:48 INFO:  test-node-gpu.js test sensitive +2022-06-08 08:51:49 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796928} +2022-06-08 08:51:49 STATE: test-node-gpu.js event: image +2022-06-08 08:51:49 STATE: test-node-gpu.js event: detect +2022-06-08 08:51:49 STATE: test-node-gpu.js passed: detect: samples/in/ai-body.jpg default +2022-06-08 08:51:49 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 2 gesture: 9 object: 1 person: 1 {"score":1,"age":23.7,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} +2022-06-08 08:51:49 DATA:  test-node-gpu.js result: performance: load: null total: 211 +2022-06-08 08:51:49 STATE: test-node-gpu.js passed: sensitive result match +2022-06-08 08:51:49 STATE: test-node-gpu.js passed: sensitive face result match +2022-06-08 08:51:49 STATE: test-node-gpu.js passed: sensitive face emotion result [{"score":0.59,"emotion":"angry"},{"score":0.29,"emotion":"fear"}] +2022-06-08 08:51:49 STATE: test-node-gpu.js passed: sensitive body result match +2022-06-08 08:51:49 STATE: test-node-gpu.js passed: sensitive hand result match +2022-06-08 08:51:49 INFO:  test-node-gpu.js test detectors +2022-06-08 08:51:49 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796928} +2022-06-08 08:51:49 STATE: test-node-gpu.js event: image +2022-06-08 08:51:49 STATE: test-node-gpu.js event: detect +2022-06-08 08:51:49 STATE: test-node-gpu.js passed: detect: samples/in/ai-body.jpg default +2022-06-08 08:51:49 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 1 gesture: 0 object: 1 person: 1 {"score":0.93} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} +2022-06-08 08:51:49 DATA:  test-node-gpu.js result: performance: load: null total: 139 +2022-06-08 08:51:49 STATE: test-node-gpu.js passed: detector result face match +2022-06-08 08:51:49 STATE: test-node-gpu.js passed: detector result hand match +2022-06-08 08:51:49 INFO:  test-node-gpu.js test: multi-instance +2022-06-08 08:51:49 STATE: test-node-gpu.js event: image +2022-06-08 08:51:49 STATE: test-node-gpu.js event: detect +2022-06-08 08:51:49 STATE: test-node-gpu.js passed: detect: random default +2022-06-08 08:51:49 DATA:  test-node-gpu.js result: face: 0 body: 1 hand: 0 gesture: 0 object: 0 person: 0 {} {} {"score":0.06,"keypoints":15} +2022-06-08 08:51:49 DATA:  test-node-gpu.js result: performance: load: null total: 102 +2022-06-08 08:51:49 INFO:  test-node-gpu.js test: first instance +2022-06-08 08:51:49 STATE: test-node-gpu.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151289056} +2022-06-08 08:51:50 STATE: test-node-gpu.js passed: detect: samples/in/ai-upper.jpg default +2022-06-08 08:51:50 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 0 gesture: 0 object: 1 person: 1 {"score":0.96} {"score":0.71,"class":"person"} {"score":0.75,"keypoints":16} +2022-06-08 08:51:50 DATA:  test-node-gpu.js result: performance: load: null total: 89 +2022-06-08 08:51:50 INFO:  test-node-gpu.js test: second instance +2022-06-08 08:51:50 STATE: test-node-gpu.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151289056} +2022-06-08 08:51:50 STATE: test-node-gpu.js passed: detect: samples/in/ai-upper.jpg default +2022-06-08 08:51:50 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 0 gesture: 0 object: 1 person: 1 {"score":0.96} {"score":0.71,"class":"person"} {"score":0.75,"keypoints":16} +2022-06-08 08:51:50 DATA:  test-node-gpu.js result: performance: load: null total: 70 +2022-06-08 08:51:50 INFO:  test-node-gpu.js test: concurrent +2022-06-08 08:51:50 STATE: test-node-gpu.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34696120} +2022-06-08 08:51:50 STATE: test-node-gpu.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34696120} +2022-06-08 08:51:50 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796928} +2022-06-08 08:51:50 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796928} +2022-06-08 08:51:50 STATE: test-node-gpu.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151289056} +2022-06-08 08:51:50 STATE: test-node-gpu.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151289056} +2022-06-08 08:51:50 STATE: test-node-gpu.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34696120} +2022-06-08 08:51:50 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796928} +2022-06-08 08:51:51 STATE: test-node-gpu.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151289056} +2022-06-08 08:51:51 STATE: test-node-gpu.js event: image +2022-06-08 08:51:51 STATE: test-node-gpu.js event: image +2022-06-08 08:51:51 STATE: test-node-gpu.js event: image +2022-06-08 08:51:51 STATE: test-node-gpu.js passed: detect: samples/in/ai-upper.jpg default +2022-06-08 08:51:51 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 0 gesture: 0 object: 1 person: 1 {"score":0.96} {"score":0.71,"class":"person"} {"score":0.75,"keypoints":16} +2022-06-08 08:51:51 DATA:  test-node-gpu.js result: performance: load: null total: 865 +2022-06-08 08:51:51 STATE: test-node-gpu.js passed: detect: samples/in/ai-upper.jpg default +2022-06-08 08:51:51 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 0 gesture: 0 object: 1 person: 1 {"score":0.96} {"score":0.71,"class":"person"} {"score":0.75,"keypoints":16} +2022-06-08 08:51:51 DATA:  test-node-gpu.js result: performance: load: null total: 865 +2022-06-08 08:51:51 STATE: test-node-gpu.js passed: detect: samples/in/ai-face.jpg default +2022-06-08 08:51:51 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} +2022-06-08 08:51:51 DATA:  test-node-gpu.js result: performance: load: null total: 934 +2022-06-08 08:51:51 STATE: test-node-gpu.js passed: detect: samples/in/ai-face.jpg default +2022-06-08 08:51:51 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} +2022-06-08 08:51:51 DATA:  test-node-gpu.js result: performance: load: null total: 934 +2022-06-08 08:51:51 STATE: test-node-gpu.js passed: detect: samples/in/ai-body.jpg default +2022-06-08 08:51:51 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 1 gesture: 0 object: 1 person: 1 {"score":0.93} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} +2022-06-08 08:51:51 DATA:  test-node-gpu.js result: performance: load: null total: 934 +2022-06-08 08:51:51 STATE: test-node-gpu.js passed: detect: samples/in/ai-body.jpg default +2022-06-08 08:51:51 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 1 gesture: 0 object: 1 person: 1 {"score":0.93} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} +2022-06-08 08:51:51 DATA:  test-node-gpu.js result: performance: load: null total: 934 +2022-06-08 08:51:51 STATE: test-node-gpu.js event: detect +2022-06-08 08:51:51 STATE: test-node-gpu.js passed: detect: samples/in/ai-upper.jpg default +2022-06-08 08:51:51 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 0 gesture: 0 object: 1 person: 1 {"score":0.96} {"score":0.71,"class":"person"} {"score":0.75,"keypoints":16} +2022-06-08 08:51:51 DATA:  test-node-gpu.js result: performance: load: null total: 684 +2022-06-08 08:51:51 STATE: test-node-gpu.js event: detect +2022-06-08 08:51:51 STATE: test-node-gpu.js event: detect +2022-06-08 08:51:51 STATE: test-node-gpu.js passed: detect: samples/in/ai-face.jpg default +2022-06-08 08:51:51 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} +2022-06-08 08:51:51 DATA:  test-node-gpu.js result: performance: load: null total: 685 +2022-06-08 08:51:51 STATE: test-node-gpu.js passed: detect: samples/in/ai-body.jpg default +2022-06-08 08:51:51 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 1 gesture: 0 object: 1 person: 1 {"score":0.93} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} +2022-06-08 08:51:51 DATA:  test-node-gpu.js result: performance: load: null total: 685 +2022-06-08 08:51:51 INFO:  test-node-gpu.js test: monkey-patch +2022-06-08 08:51:51 STATE: test-node-gpu.js event: image +2022-06-08 08:51:51 STATE: test-node-gpu.js event: detect +2022-06-08 08:51:51 STATE: test-node-gpu.js passed: monkey patch +2022-06-08 08:51:51 STATE: test-node-gpu.js passed: segmentation [65536] +2022-06-08 08:51:51 STATE: test-node-gpu.js passeed: equal usage +2022-06-08 08:51:51 INFO:  test-node-gpu.js test: input compare +2022-06-08 08:51:51 STATE: test-node-gpu.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34696120} +2022-06-08 08:51:52 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796928} +2022-06-08 08:51:52 STATE: test-node-gpu.js passed: image compare 0 23.275441687091504 +2022-06-08 08:51:52 INFO:  test-node-gpu.js events: {"image":21,"detect":21,"warmup":2} +2022-06-08 08:51:52 INFO:  test-node-gpu.js tensors 1927 +2022-06-08 08:51:52 INFO:  test-node-gpu.js test complete: 10102 ms +2022-06-08 08:51:52 INFO:  +2022-06-08 08:51:52 INFO:  test-node-wasm.js start +2022-06-08 08:51:53 STATE: test-node-wasm.js passed: model server: https://vladmandic.github.io/human/models/ +2022-06-08 08:51:53 INFO:  test-node-wasm.js test: configuration validation +2022-06-08 08:51:53 STATE: test-node-wasm.js passed: configuration default validation [] +2022-06-08 08:51:53 STATE: test-node-wasm.js passed: configuration invalid validation [{"reason":"unknown property","where":"config.invalid = true"}] +2022-06-08 08:51:53 INFO:  test-node-wasm.js test: model load +2022-06-08 08:51:53 STATE: test-node-wasm.js passed: models loaded 22 12 [{"name":"ssrnetage","loaded":false,"url":null},{"name":"gear","loaded":false,"url":null},{"name":"blazeposedetect","loaded":false,"url":null},{"name":"blazepose","loaded":false,"url":null},{"name":"centernet","loaded":true,"url":"https://vladmandic.github.io/human/models/mb3-centernet.json"},{"name":"efficientpose","loaded":false,"url":null},{"name":"mobilefacenet","loaded":false,"url":null},{"name":"emotion","loaded":true,"url":"https://vladmandic.github.io/human/models/emotion.json"},{"name":"facedetect","loaded":true,"url":"https://vladmandic.github.io/human/models/blazeface.json"},{"name":"faceiris","loaded":true,"url":"https://vladmandic.github.io/human/models/iris.json"},{"name":"facemesh","loaded":true,"url":"https://vladmandic.github.io/human/models/facemesh.json"},{"name":"faceres","loaded":true,"url":"https://vladmandic.github.io/human/models/faceres.json"},{"name":"ssrnetgender","loaded":false,"url":null},{"name":"handpose","loaded":false,"url":null},{"name":"handskeleton","loaded":true,"url":"https://vladmandic.github.io/human/models/handlandmark-full.json"},{"name":"handtrack","loaded":true,"url":"https://vladmandic.github.io/human/models/handtrack.json"},{"name":"liveness","loaded":true,"url":"https://vladmandic.github.io/human/models/liveness.json"},{"name":"movenet","loaded":true,"url":"https://vladmandic.github.io/human/models/movenet-lightning.json"},{"name":"nanodet","loaded":false,"url":null},{"name":"posenet","loaded":false,"url":null},{"name":"segmentation","loaded":true,"url":"https://vladmandic.github.io/human/models/selfie.json"},{"name":"antispoof","loaded":true,"url":"https://vladmandic.github.io/human/models/antispoof.json"}] +2022-06-08 08:51:53 INFO:  test-node-wasm.js test: warmup +2022-06-08 08:51:53 STATE: test-node-wasm.js passed: create human +2022-06-08 08:51:53 INFO:  test-node-wasm.js human version: 2.8.1 +2022-06-08 08:51:53 INFO:  test-node-wasm.js platform: linux x64 agent: NodeJS v16.15.0 +2022-06-08 08:51:53 INFO:  test-node-wasm.js tfjs version: 3.18.0 +2022-06-08 08:51:53 STATE: test-node-wasm.js passed: set backend: wasm +2022-06-08 08:51:53 STATE: test-node-wasm.js tensors 1921 +2022-06-08 08:51:53 STATE: test-node-wasm.js passed: load models +2022-06-08 08:51:53 STATE: test-node-wasm.js result: defined models: 22 loaded models: 12 +2022-06-08 08:51:53 STATE: test-node-wasm.js passed: warmup: none default +2022-06-08 08:51:53 DATA:  test-node-wasm.js result: face: 0 body: 0 hand: 0 gesture: 0 object: 0 person: 0 {} {} {} +2022-06-08 08:51:53 DATA:  test-node-wasm.js result: performance: load: null total: null +2022-06-08 08:51:53 STATE: test-node-wasm.js passed: warmup none result match +2022-06-08 08:51:53 STATE: test-node-wasm.js event: image +2022-06-08 08:51:54 STATE: test-node-wasm.js event: detect +2022-06-08 08:51:54 STATE: test-node-wasm.js event: warmup +2022-06-08 08:51:54 STATE: test-node-wasm.js passed: warmup: face default +2022-06-08 08:51:54 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 1 gesture: 6 object: 1 person: 1 {"score":1,"age":23.5,"gender":"female"} {"score":0.82,"class":"person"} {"score":0.47,"keypoints":3} +2022-06-08 08:51:54 DATA:  test-node-wasm.js result: performance: load: null total: 466 +2022-06-08 08:51:54 STATE: test-node-wasm.js passed: warmup face result match +2022-06-08 08:51:54 STATE: test-node-wasm.js event: image +2022-06-08 08:51:54 STATE: test-node-wasm.js event: detect +2022-06-08 08:51:54 STATE: test-node-wasm.js event: warmup +2022-06-08 08:51:54 STATE: test-node-wasm.js passed: warmup: body default +2022-06-08 08:51:54 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 1 gesture: 7 object: 1 person: 1 {"score":1,"age":23.7,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} +2022-06-08 08:51:54 DATA:  test-node-wasm.js result: performance: load: null total: 366 +2022-06-08 08:51:54 STATE: test-node-wasm.js passed: warmup body result match +2022-06-08 08:51:54 STATE: test-node-wasm.js details: {"face":{"boxScore":0.93,"faceScore":1,"age":23.7,"gender":"female","genderScore":0.97},"emotion":[{"score":0.59,"emotion":"angry"},{"score":0.29,"emotion":"fear"}],"body":{"score":0.92,"keypoints":17},"hand":{"boxScore":0.51,"fingerScore":0.73,"keypoints":21},"gestures":[{"face":0,"gesture":"facing right"},{"face":0,"gesture":"mouth 21% open"},{"hand":0,"gesture":"pinky forward"},{"hand":0,"gesture":"palm up"},{"hand":0,"gesture":"open palm"},{"iris":0,"gesture":"looking left"},{"iris":0,"gesture":"looking up"}]} +2022-06-08 08:51:54 INFO:  test-node-wasm.js test: details verification +2022-06-08 08:51:54 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1038921856} +2022-06-08 08:51:54 STATE: test-node-wasm.js event: image +2022-06-08 08:51:55 STATE: test-node-wasm.js event: detect +2022-06-08 08:51:55 STATE: test-node-wasm.js passed: detect: samples/in/ai-body.jpg default +2022-06-08 08:51:55 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 1 gesture: 7 object: 1 person: 1 {"score":1,"age":23.7,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} +2022-06-08 08:51:55 DATA:  test-node-wasm.js result: performance: load: null total: 357 +2022-06-08 08:51:55 STATE: test-node-wasm.js passed: details face length 1 +2022-06-08 08:51:55 STATE: test-node-wasm.js passed: details face score 1 0.93 1 +2022-06-08 08:51:55 STATE: test-node-wasm.js passed: details face age/gender 23.7 female 0.97 85.47 +2022-06-08 08:51:55 STATE: test-node-wasm.js passed: details face arrays 4 478 1024 +2022-06-08 08:51:55 STATE: test-node-wasm.js passed: details face emotion 2 {"score":0.59,"emotion":"angry"} +2022-06-08 08:51:55 STATE: test-node-wasm.js passed: details face anti-spoofing 0.79 +2022-06-08 08:51:55 STATE: test-node-wasm.js passed: details face liveness 0.83 +2022-06-08 08:51:55 STATE: test-node-wasm.js passed: details body length 1 +2022-06-08 08:51:55 STATE: test-node-wasm.js passed: details body 0.92 17 6 +2022-06-08 08:51:55 STATE: test-node-wasm.js passed: details hand length 1 +2022-06-08 08:51:55 STATE: test-node-wasm.js passed: details hand 0.51 0.73 point +2022-06-08 08:51:55 STATE: test-node-wasm.js passed: details hand arrays 21 5 7 +2022-06-08 08:51:55 STATE: test-node-wasm.js passed: details gesture length 7 +2022-06-08 08:51:55 STATE: test-node-wasm.js passed: details gesture first {"face":0,"gesture":"facing right"} +2022-06-08 08:51:55 STATE: test-node-wasm.js passed: details object length 1 +2022-06-08 08:51:55 STATE: test-node-wasm.js passed: details object 0.72 person +2022-06-08 08:51:55 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,4] {"checksum":1413675264} +2022-06-08 08:51:55 STATE: test-node-wasm.js event: image +2022-06-08 08:51:55 STATE: test-node-wasm.js event: detect +2022-06-08 08:51:55 STATE: test-node-wasm.js passed: tensor shape: [1,1200,1200,4] dtype: float32 +2022-06-08 08:51:56 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1200,1200,4] {"checksum":1413675264} +2022-06-08 08:51:56 STATE: test-node-wasm.js event: image +2022-06-08 08:51:56 STATE: test-node-wasm.js event: detect +2022-06-08 08:51:56 STATE: test-node-wasm.js passed: tensor shape: [1200,1200,4] dtype: float32 +2022-06-08 08:51:56 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1038921856} +2022-06-08 08:51:56 STATE: test-node-wasm.js event: image +2022-06-08 08:51:56 STATE: test-node-wasm.js event: detect +2022-06-08 08:51:56 STATE: test-node-wasm.js passed: tensor shape: [1,1200,1200,3] dtype: float32 +2022-06-08 08:51:57 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1200,1200,3] {"checksum":1038921856} +2022-06-08 08:51:57 STATE: test-node-wasm.js event: image +2022-06-08 08:51:57 STATE: test-node-wasm.js event: detect +2022-06-08 08:51:57 STATE: test-node-wasm.js passed: tensor shape: [1200,1200,3] dtype: float32 +2022-06-08 08:51:57 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,4] {"checksum":1371996871} +2022-06-08 08:51:57 STATE: test-node-wasm.js event: image +2022-06-08 08:51:58 STATE: test-node-wasm.js event: detect +2022-06-08 08:51:58 STATE: test-node-wasm.js passed: tensor shape: [1,1200,1200,4] dtype: int32 +2022-06-08 08:51:58 INFO:  test-node-wasm.js test default +2022-06-08 08:51:58 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1038921856} +2022-06-08 08:51:58 STATE: test-node-wasm.js event: image +2022-06-08 08:51:58 STATE: test-node-wasm.js event: detect +2022-06-08 08:51:58 STATE: test-node-wasm.js passed: detect: samples/in/ai-body.jpg default +2022-06-08 08:51:58 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 1 gesture: 8 object: 1 person: 1 {"score":1,"age":29.6,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} +2022-06-08 08:51:58 DATA:  test-node-wasm.js result: performance: load: null total: 323 +2022-06-08 08:51:58 STATE: test-node-wasm.js passed: default result face match 1 female 0.97 +2022-06-08 08:51:58 INFO:  test-node-wasm.js test sync +2022-06-08 08:51:58 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1038921856} +2022-06-08 08:51:58 STATE: test-node-wasm.js event: image +2022-06-08 08:51:59 STATE: test-node-wasm.js event: detect +2022-06-08 08:51:59 STATE: test-node-wasm.js passed: detect: samples/in/ai-body.jpg default +2022-06-08 08:51:59 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 1 gesture: 8 object: 1 person: 1 {"score":1,"age":29.6,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} +2022-06-08 08:51:59 DATA:  test-node-wasm.js result: performance: load: null total: 357 +2022-06-08 08:51:59 STATE: test-node-wasm.js passed: default sync 1 female 0.97 +2022-06-08 08:51:59 INFO:  test-node-wasm.js test: image process +2022-06-08 08:51:59 STATE: test-node-wasm.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34697856} +2022-06-08 08:51:59 STATE: test-node-wasm.js passed: image input null [1,256,256,3] +2022-06-08 08:51:59 INFO:  test-node-wasm.js test: image null +2022-06-08 08:51:59 STATE: test-node-wasm.js passed: invalid input could not convert input to tensor +2022-06-08 08:51:59 INFO:  test-node-wasm.js test face similarity +2022-06-08 08:51:59 STATE: test-node-wasm.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34697856} +2022-06-08 08:51:59 STATE: test-node-wasm.js event: image +2022-06-08 08:51:59 STATE: test-node-wasm.js event: detect +2022-06-08 08:51:59 STATE: test-node-wasm.js passed: detect: samples/in/ai-face.jpg default +2022-06-08 08:51:59 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 1 gesture: 6 object: 1 person: 1 {"score":1,"age":23.5,"gender":"female"} {"score":0.82,"class":"person"} {"score":0.47,"keypoints":3} +2022-06-08 08:51:59 DATA:  test-node-wasm.js result: performance: load: null total: 292 +2022-06-08 08:51:59 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1038921856} +2022-06-08 08:51:59 STATE: test-node-wasm.js event: image +2022-06-08 08:52:00 STATE: test-node-wasm.js event: detect +2022-06-08 08:52:00 STATE: test-node-wasm.js passed: detect: samples/in/ai-body.jpg default +2022-06-08 08:52:00 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 1 gesture: 8 object: 1 person: 1 {"score":1,"age":29.6,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} +2022-06-08 08:52:00 DATA:  test-node-wasm.js result: performance: load: null total: 345 +2022-06-08 08:52:00 STATE: test-node-wasm.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151155104} +2022-06-08 08:52:00 STATE: test-node-wasm.js event: image +2022-06-08 08:52:00 STATE: test-node-wasm.js event: detect +2022-06-08 08:52:00 STATE: test-node-wasm.js passed: detect: samples/in/ai-upper.jpg default +2022-06-08 08:52:00 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 0 gesture: 4 object: 1 person: 1 {"score":1,"age":23.5,"gender":"female"} {"score":0.71,"class":"person"} {"score":0.75,"keypoints":7} +2022-06-08 08:52:00 DATA:  test-node-wasm.js result: performance: load: null total: 312 +2022-06-08 08:52:00 STATE: test-node-wasm.js passed: face descriptor +2022-06-08 08:52:00 STATE: test-node-wasm.js passed: face similarity {"similarity":[1,0.5266119940661309,0.4858842904087851],"descriptors":[1024,1024,1024]} +2022-06-08 08:52:00 INFO:  test-node-wasm.js test face matching +2022-06-08 08:52:00 STATE: test-node-wasm.js passed: face database 40 +2022-06-08 08:52:00 STATE: test-node-wasm.js passed: face match {"first":{"index":4,"similarity":0.7827852754786533}} {"second":{"index":4,"similarity":0.5660821189104794}} {"third":{"index":4,"similarity":0.45074189882665594}} +2022-06-08 08:52:00 INFO:  test-node-wasm.js test object +2022-06-08 08:52:00 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1038921856} +2022-06-08 08:52:00 STATE: test-node-wasm.js event: image +2022-06-08 08:52:01 STATE: test-node-wasm.js event: detect +2022-06-08 08:52:01 STATE: test-node-wasm.js passed: detect: samples/in/ai-body.jpg default +2022-06-08 08:52:01 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 1 gesture: 8 object: 1 person: 1 {"score":1,"age":29.6,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} +2022-06-08 08:52:01 DATA:  test-node-wasm.js result: performance: load: null total: 373 +2022-06-08 08:52:01 STATE: test-node-wasm.js passed: object result match +2022-06-08 08:52:01 INFO:  test-node-wasm.js test sensitive +2022-06-08 08:52:01 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1038921856} +2022-06-08 08:52:01 STATE: test-node-wasm.js event: image +2022-06-08 08:52:01 STATE: test-node-wasm.js event: detect +2022-06-08 08:52:01 STATE: test-node-wasm.js passed: detect: samples/in/ai-body.jpg default +2022-06-08 08:52:01 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 2 gesture: 10 object: 1 person: 1 {"score":1,"age":29.6,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} +2022-06-08 08:52:01 DATA:  test-node-wasm.js result: performance: load: null total: 369 +2022-06-08 08:52:01 STATE: test-node-wasm.js passed: sensitive result match +2022-06-08 08:52:01 STATE: test-node-wasm.js passed: sensitive face result match +2022-06-08 08:52:01 STATE: test-node-wasm.js passed: sensitive face emotion result [{"score":0.46,"emotion":"neutral"},{"score":0.24,"emotion":"fear"},{"score":0.17,"emotion":"sad"}] +2022-06-08 08:52:01 STATE: test-node-wasm.js passed: sensitive body result match +2022-06-08 08:52:01 STATE: test-node-wasm.js passed: sensitive hand result match +2022-06-08 08:52:01 INFO:  test-node-wasm.js test detectors +2022-06-08 08:52:01 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1038921856} +2022-06-08 08:52:01 STATE: test-node-wasm.js event: image +2022-06-08 08:52:02 STATE: test-node-wasm.js event: detect +2022-06-08 08:52:02 STATE: test-node-wasm.js passed: detect: samples/in/ai-body.jpg default +2022-06-08 08:52:02 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 1 gesture: 0 object: 1 person: 1 {"score":0.93} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} +2022-06-08 08:52:02 DATA:  test-node-wasm.js result: performance: load: null total: 242 +2022-06-08 08:52:02 STATE: test-node-wasm.js passed: detector result face match +2022-06-08 08:52:02 STATE: test-node-wasm.js passed: detector result hand match +2022-06-08 08:52:02 INFO:  test-node-wasm.js test: multi-instance +2022-06-08 08:52:02 STATE: test-node-wasm.js event: image +2022-06-08 08:52:02 STATE: test-node-wasm.js event: detect +2022-06-08 08:52:02 STATE: test-node-wasm.js passed: detect: random default +2022-06-08 08:52:02 DATA:  test-node-wasm.js result: face: 0 body: 1 hand: 0 gesture: 0 object: 0 person: 0 {} {} {"score":0.07,"keypoints":15} +2022-06-08 08:52:02 DATA:  test-node-wasm.js result: performance: load: null total: 226 +2022-06-08 08:52:02 INFO:  test-node-wasm.js test: first instance +2022-06-08 08:52:02 STATE: test-node-wasm.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151155104} +2022-06-08 08:52:02 STATE: test-node-wasm.js passed: detect: samples/in/ai-upper.jpg default +2022-06-08 08:52:02 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 0 gesture: 0 object: 1 person: 1 {"score":0.96} {"score":0.71,"class":"person"} {"score":0.75,"keypoints":16} +2022-06-08 08:52:02 DATA:  test-node-wasm.js result: performance: load: null total: 244 +2022-06-08 08:52:02 INFO:  test-node-wasm.js test: second instance +2022-06-08 08:52:02 STATE: test-node-wasm.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151155104} +2022-06-08 08:52:03 STATE: test-node-wasm.js passed: detect: samples/in/ai-upper.jpg default +2022-06-08 08:52:03 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 0 gesture: 0 object: 1 person: 1 {"score":0.96} {"score":0.71,"class":"person"} {"score":0.75,"keypoints":16} +2022-06-08 08:52:03 DATA:  test-node-wasm.js result: performance: load: null total: 238 +2022-06-08 08:52:03 INFO:  test-node-wasm.js test: concurrent +2022-06-08 08:52:03 STATE: test-node-wasm.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34697856} +2022-06-08 08:52:03 STATE: test-node-wasm.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34697856} +2022-06-08 08:52:03 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1038921856} +2022-06-08 08:52:03 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1038921856} +2022-06-08 08:52:03 STATE: test-node-wasm.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151155104} +2022-06-08 08:52:03 STATE: test-node-wasm.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151155104} +2022-06-08 08:52:03 STATE: test-node-wasm.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34697856} +2022-06-08 08:52:04 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1038921856} +2022-06-08 08:52:04 STATE: test-node-wasm.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151155104} +2022-06-08 08:52:04 STATE: test-node-wasm.js event: image +2022-06-08 08:52:04 STATE: test-node-wasm.js event: image +2022-06-08 08:52:04 STATE: test-node-wasm.js event: image +2022-06-08 08:52:06 STATE: test-node-wasm.js passed: detect: samples/in/ai-upper.jpg default +2022-06-08 08:52:06 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 0 gesture: 0 object: 1 person: 1 {"score":0.96} {"score":0.71,"class":"person"} {"score":0.75,"keypoints":16} +2022-06-08 08:52:06 DATA:  test-node-wasm.js result: performance: load: null total: 2511 +2022-06-08 08:52:06 STATE: test-node-wasm.js passed: detect: samples/in/ai-upper.jpg default +2022-06-08 08:52:06 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 0 gesture: 0 object: 1 person: 1 {"score":0.96} {"score":0.71,"class":"person"} {"score":0.75,"keypoints":16} +2022-06-08 08:52:06 DATA:  test-node-wasm.js result: performance: load: null total: 2511 +2022-06-08 08:52:06 STATE: test-node-wasm.js passed: detect: samples/in/ai-face.jpg default +2022-06-08 08:52:06 DATA:  test-node-wasm.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} +2022-06-08 08:52:06 DATA:  test-node-wasm.js result: performance: load: null total: 2747 +2022-06-08 08:52:06 STATE: test-node-wasm.js passed: detect: samples/in/ai-face.jpg default +2022-06-08 08:52:06 DATA:  test-node-wasm.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} +2022-06-08 08:52:06 DATA:  test-node-wasm.js result: performance: load: null total: 2747 +2022-06-08 08:52:06 STATE: test-node-wasm.js passed: detect: samples/in/ai-body.jpg default +2022-06-08 08:52:06 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 1 gesture: 0 object: 1 person: 1 {"score":0.93} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} +2022-06-08 08:52:06 DATA:  test-node-wasm.js result: performance: load: null total: 2747 +2022-06-08 08:52:06 STATE: test-node-wasm.js passed: detect: samples/in/ai-body.jpg default +2022-06-08 08:52:06 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 1 gesture: 0 object: 1 person: 1 {"score":0.93} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} +2022-06-08 08:52:06 DATA:  test-node-wasm.js result: performance: load: null total: 2747 +2022-06-08 08:52:06 STATE: test-node-wasm.js event: detect +2022-06-08 08:52:06 STATE: test-node-wasm.js passed: detect: samples/in/ai-upper.jpg default +2022-06-08 08:52:06 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 0 gesture: 0 object: 1 person: 1 {"score":0.96} {"score":0.71,"class":"person"} {"score":0.75,"keypoints":16} +2022-06-08 08:52:06 DATA:  test-node-wasm.js result: performance: load: null total: 2448 +2022-06-08 08:52:06 STATE: test-node-wasm.js event: detect +2022-06-08 08:52:06 STATE: test-node-wasm.js event: detect +2022-06-08 08:52:06 STATE: test-node-wasm.js passed: detect: samples/in/ai-face.jpg default +2022-06-08 08:52:06 DATA:  test-node-wasm.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} +2022-06-08 08:52:06 DATA:  test-node-wasm.js result: performance: load: null total: 2448 +2022-06-08 08:52:06 STATE: test-node-wasm.js passed: detect: samples/in/ai-body.jpg default +2022-06-08 08:52:06 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 1 gesture: 0 object: 1 person: 1 {"score":0.93} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} +2022-06-08 08:52:06 DATA:  test-node-wasm.js result: performance: load: null total: 2448 +2022-06-08 08:52:06 INFO:  test-node-wasm.js test: monkey-patch +2022-06-08 08:52:06 STATE: test-node-wasm.js event: image +2022-06-08 08:52:06 STATE: test-node-wasm.js event: detect +2022-06-08 08:52:06 STATE: test-node-wasm.js passed: monkey patch +2022-06-08 08:52:06 STATE: test-node-wasm.js passed: segmentation [65536] +2022-06-08 08:52:06 STATE: test-node-wasm.js passeed: equal usage +2022-06-08 08:52:06 INFO:  test-node-wasm.js test: input compare +2022-06-08 08:52:06 STATE: test-node-wasm.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34697856} +2022-06-08 08:52:07 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1038921856} +2022-06-08 08:52:07 STATE: test-node-wasm.js passed: image compare 0 23.280073018790848 +2022-06-08 08:52:07 INFO:  test-node-wasm.js events: {"image":21,"detect":21,"warmup":2} +2022-06-08 08:52:07 INFO:  test-node-wasm.js tensors 1929 +2022-06-08 08:52:07 INFO:  test-node-wasm.js test complete: 13925 ms +2022-06-08 08:52:07 INFO:  all tests complete +2022-06-08 08:52:07 INFO:  failed: {"count":0,"messages":[]} +2022-06-08 08:52:07 INFO:  status: {"test":"test-node.js","passed":101,"failed":0} +2022-06-08 08:52:07 INFO:  status: {"test":"test-node-gpu.js","passed":101,"failed":0} +2022-06-08 08:52:07 INFO:  status: {"test":"test-node-wasm.js","passed":102,"failed":0} diff --git a/typedoc/classes/Env.html b/typedoc/classes/Env.html index 00bcfa91..9f581519 100644 --- a/typedoc/classes/Env.html +++ b/typedoc/classes/Env.html @@ -1,4 +1,4 @@ -Env | @vladmandic/human - v2.8.0
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Class Env

+Env | @vladmandic/human - v2.8.1
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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/GraphModel.html b/typedoc/classes/GraphModel.html index 2686e97a..97b73cac 100644 --- a/typedoc/classes/GraphModel.html +++ b/typedoc/classes/GraphModel.html @@ -1,4 +1,4 @@ -GraphModel | @vladmandic/human - v2.8.0
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Class GraphModel<ModelURL>

+GraphModel | @vladmandic/human - v2.8.1
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Class GraphModel<ModelURL>

A tf.GraphModel is a directed, acyclic graph built from a SavedModel GraphDef and allows inference execution.

A tf.GraphModel can only be created by loading from a model converted from diff --git a/typedoc/classes/Human.html b/typedoc/classes/Human.html index c620d73b..211aa2a5 100644 --- a/typedoc/classes/Human.html +++ b/typedoc/classes/Human.html @@ -1,4 +1,4 @@ -Human | @vladmandic/human - v2.8.0

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Class Human

+Human | @vladmandic/human - v2.8.1
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Class Human

Human* library main class

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