/*
  Human
  homepage: <https://github.com/vladmandic/human>
  author: <https://github.com/vladmandic>'
*/

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d4={};we(d4,{Env:()=>w2,Human:()=>b1,default:()=>b1,defaults:()=>qe,draw:()=>Q2,empty:()=>ue,env:()=>v,match:()=>zt,models:()=>h1});module.exports=Co(d4);var Ae=V(H());function u(...e){let t=new Date,n=`${t.getHours().toString().padStart(2,"0")}:${t.getMinutes().toString().padStart(2,"0")}:${t.getSeconds().toString().padStart(2,"0")}.${t.getMilliseconds().toString().padStart(3,"0")}`;e&&console.log(n,"Human:",...e)}function k1(e,t){let n=e.endsWith("/")?"":"/",r=t.startsWith(".")||t.startsWith("/")||t.startsWith("http:")||t.startsWith("https:")||t.startsWith("file:")?`${t}`:`${e}${n}${t}`;if(!r.toLocaleLowerCase().includes(".json"))throw new Error(`modelpath error: expecting json file: ${r}`);return r}var g=()=>typeof performance!="undefined"?performance.now():parseInt((Number(process.hrtime.bigint())/1e3/1e3).toString());function Zt(e,t,n="config",o=[]){for(let r of Object.keys(t))if(typeof t[r]=="object")Zt(e[r],t[r],r,o);else{let s=e&&typeof 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I0=V(H());var N=V(H());var w1=`
  precision highp float;
  attribute vec2 pos;
  attribute vec2 uv;
  varying vec2 vUv;
  uniform float flipY;
  void main(void) {
    vUv = uv;
    gl_Position = vec4(pos.x, pos.y*flipY, 0.0, 1.);
  }
`;var E1=`
  precision highp float;
  varying vec2 vUv;
  uniform sampler2D texture;
  uniform float m[20];
  void main(void) {
    vec4 c = texture2D(texture, vUv);
    gl_FragColor.r = m[0] * c.r + m[1] * c.g + m[2] * c.b + m[3] * c.a + m[4];
    gl_FragColor.g = m[5] * c.r + m[6] * c.g + m[7] * c.b + m[8] * c.a + m[9];
    gl_FragColor.b = m[10] * c.r + m[11] * c.g + m[12] * c.b + m[13] * c.a + m[14];
    gl_FragColor.a = m[15] * c.r + m[16] * c.g + m[17] * c.b + m[18] * c.a + m[19];
  }
`,z1=`
  precision highp float;
  varying vec2 vUv;
  uniform sampler2D texture;
  uniform float m[20];
  void main(void) {
    vec4 c = texture2D(texture, vUv);
    gl_FragColor.r = m[0] * c.r + m[1] * c.g + m[2] * c.b + m[4];
    gl_FragColor.g = m[5] * c.r + m[6] * c.g + m[7] * c.b + m[9];
    gl_FragColor.b = m[10] * c.r + m[11] * c.g + m[12] * c.b + m[14];
    gl_FragColor.a = c.a;
  }
`,S1=`
  precision highp float;
  varying vec2 vUv;
  uniform vec2 size;
  uniform sampler2D texture;
  vec2 pixelate(vec2 coord, vec2 size) {
    return floor( coord / size ) * size;
  }
  void main(void) {
    gl_FragColor = vec4(0.0);
    vec2 coord = pixelate(vUv, size);
    gl_FragColor += texture2D(texture, coord);
  }
`,j1=`
  precision highp float;
  varying vec2 vUv;
  uniform sampler2D texture;
  uniform vec2 px;
  void main(void) {
    gl_FragColor = vec4(0.0);
    gl_FragColor += texture2D(texture, vUv + vec2(-7.0*px.x, -7.0*px.y))*0.0044299121055113265;
    gl_FragColor += texture2D(texture, vUv + vec2(-6.0*px.x, -6.0*px.y))*0.00895781211794;
    gl_FragColor += texture2D(texture, vUv + vec2(-5.0*px.x, -5.0*px.y))*0.0215963866053;
    gl_FragColor += texture2D(texture, vUv + vec2(-4.0*px.x, -4.0*px.y))*0.0443683338718;
    gl_FragColor += texture2D(texture, vUv + vec2(-3.0*px.x, -3.0*px.y))*0.0776744219933;
    gl_FragColor += texture2D(texture, vUv + vec2(-2.0*px.x, -2.0*px.y))*0.115876621105;
    gl_FragColor += texture2D(texture, vUv + vec2(-1.0*px.x, -1.0*px.y))*0.147308056121;
    gl_FragColor += texture2D(texture, vUv                             )*0.159576912161;
    gl_FragColor += texture2D(texture, vUv + vec2( 1.0*px.x,  1.0*px.y))*0.147308056121;
    gl_FragColor += texture2D(texture, vUv + vec2( 2.0*px.x,  2.0*px.y))*0.115876621105;
    gl_FragColor += texture2D(texture, vUv + vec2( 3.0*px.x,  3.0*px.y))*0.0776744219933;
    gl_FragColor += texture2D(texture, vUv + vec2( 4.0*px.x,  4.0*px.y))*0.0443683338718;
    gl_FragColor += texture2D(texture, vUv + vec2( 5.0*px.x,  5.0*px.y))*0.0215963866053;
    gl_FragColor += texture2D(texture, vUv + vec2( 6.0*px.x,  6.0*px.y))*0.00895781211794;
    gl_FragColor += texture2D(texture, vUv + vec2( 7.0*px.x,  7.0*px.y))*0.0044299121055113265;
  }
`,N1=`
  precision highp float;
  varying vec2 vUv;
  uniform sampler2D texture;
  uniform vec2 px;
  uniform float m[9];
  void main(void) {
    vec4 c11 = texture2D(texture, vUv - px); // top left
    vec4 c12 = texture2D(texture, vec2(vUv.x, vUv.y - px.y)); // top center
    vec4 c13 = texture2D(texture, vec2(vUv.x + px.x, vUv.y - px.y)); // top right
    vec4 c21 = texture2D(texture, vec2(vUv.x - px.x, vUv.y) ); // mid left
    vec4 c22 = texture2D(texture, vUv); // mid center
    vec4 c23 = texture2D(texture, vec2(vUv.x + px.x, vUv.y) ); // mid right
    vec4 c31 = texture2D(texture, vec2(vUv.x - px.x, vUv.y + px.y) ); // bottom left
    vec4 c32 = texture2D(texture, vec2(vUv.x, vUv.y + px.y) ); // bottom center
    vec4 c33 = texture2D(texture, vUv + px ); // bottom right
    gl_FragColor = 
    c11 * m[0] + c12 * m[1] + c22 * m[2] +
    c21 * m[3] + c22 * m[4] + c23 * m[5] +
    c31 * m[6] + c32 * m[7] + c33 * m[8];
    gl_FragColor.a = c22.a;
  }
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x=[Y.sub(n[0],o[0]),Y.sub(n[1],o[1]),Y.sub(n[2],o[2])],i=[Y.sub(r[0],o[0]),Y.sub(r[1],o[1]),Y.sub(r[2],o[2])],y=[Y.mul(x[0],l),Y.mul(x[1],l),Y.mul(x[2],l)],d=Y.stack([y[0],y[1],y[2]],2);c=Y.reshape(d,[1,t.shape[0]||0,t.shape[1]||0,3]),Y.dispose([...x,...i,...y])}else c=Y.expandDims(t,0);return Y.dispose([...n,...o,...r,n,t,e]),c}var B2=3840,v0=null,R0=null,l2=null,e0,K0={inputSum:0,cacheDiff:1,sumMethod:0,inputTensor:void 0};function Ut(){K0.inputSum=0,K0.cacheDiff=1,K0.sumMethod=0,K0.inputTensor=void 0}function ee(e,t){let n;if(v.browser)if(v.worker){if(typeof OffscreenCanvas=="undefined")throw new Error("canvas error: attempted to run in web worker but OffscreenCanvas is not supported");n=new OffscreenCanvas(e,t)}else{if(typeof document=="undefined")throw new Error("canvas error: attempted to run in browser but DOM is not defined");n=document.createElement("canvas"),n.width=e,n.height=t}else typeof v.Canvas!="undefined"?n=new v.Canvas(e,t):typeof 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n={audio:!1,video:{facingMode:this.config.mode==="front"?"user":"environment",resizeMode:this.config.crop?"crop-and-scale":"none",width:{ideal:this.config.width>0?this.config.width:window.innerWidth},height:{ideal:this.config.height>0?this.config.height:window.innerHeight}}};if(this.config.id&&(n.video.deviceId=this.config.id),this.element.addEventListener("play",()=>{this.config.debug&&u("webcam","play")}),this.element.addEventListener("pause",()=>{this.config.debug&&u("webcam","pause")}),this.element.addEventListener("click",async()=>{!this.element||!this.stream||(this.element.paused?await this.element.play():this.element.pause())}),!(navigator!=null&&navigator.mediaDevices)){this.config.debug&&u("webcam","no devices");return}try{this.stream=await navigator.mediaDevices.getUserMedia(n)}catch(r){u("webcam",r);return}if(!this.stream){this.config.debug&&u("webcam","no stream");return}this.element.srcObject=this.stream,await new 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label(){return this.track?this.track.label:""}get paused(){var t;return((t=this.element)==null?void 0:t.paused)||!1}get width(){var t;return((t=this.element)==null?void 0:t.videoWidth)||0}get height(){var t;return((t=this.element)==null?void 0:t.videoHeight)||0}};var c2=V(H());var 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vs=[[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]],Rs=[[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]],Ms=[[276,283],[283,282],[282,295],[295,285],[300,293],[293,334],[334,296],[296,336]],Ps=[[474,475],[475,476],[476,477],[477,474]],ks=[[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]],ws=[[46,53],[53,52],[52,65],[65,55],[70,63],[63,105],[105,66],[66,107]],Es=[[469,470],[470,471],[471,472],[472,469]],zs=[[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 Se(e){let t=e.map(n=>n[0]);return t.push(e[e.length-1][1]),t}var Ss={lips:Se(vs),leftEye:Se(Rs),leftEyebrow:Se(Ms),leftIris:Se(Ps),rightEye:Se(ks),rightEyebrow:Se(ws),rightIris:Se(Es),faceOval:Se(zs)},js=Object.entries(Ss).map(([e,t])=>t.map(n=>[n,e])).flat(),D4=new 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n=K.faceLabels.slice();if(e.score&&(n=_(n,"[score]",100*e.score)),e.gender&&(n=_(n,"[gender]",e.gender)),e.genderScore&&(n=_(n,"[genderScore]",100*e.genderScore)),e.age&&(n=_(n,"[age]",e.age)),e.distance&&(n=_(n,"[distance]",100*e.distance)),e.real&&(n=_(n,"[real]",100*e.real)),e.live&&(n=_(n,"[live]",100*e.live)),e.emotion&&e.emotion.length>0){let y=e.emotion.map(d=>`${Math.trunc(100*d.score)}% ${d.emotion}`);y.length>3&&(y.length=3),n=_(n,"[emotions]",y.join(" "))}(s=(r=e.rotation)==null?void 0:r.angle)!=null&&s.roll&&(n=_(n,"[roll]",Ue(e.rotation.angle.roll))),(a=(A=e.rotation)==null?void 0:A.angle)!=null&&a.yaw&&(n=_(n,"[yaw]",Ue(e.rotation.angle.yaw))),(c=(l=e.rotation)==null?void 0:l.angle)!=null&&c.pitch&&(n=_(n,"[pitch]",Ue(e.rotation.angle.pitch))),(i=(x=e.rotation)==null?void 0:x.gaze)!=null&&i.bearing&&(n=_(n,"[gaze]",Ue(e.rotation.gaze.bearing))),te(t,n,e.box[0],e.box[1],K)}function Is(e,t){var n,o,r,s;if(((n=e.annotations)==null?void 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      C 
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    distance: [distance]cm
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    live: [live]%
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t5=v.perfadd?t5+Math.round(g()-o):Math.round(g()-o),t.performance.draw=t5,s}function n5(){d0.faceLabels=je.face,d0.bodyLabels=je.body,d0.bodyPartLabels=je.bodyPart,d0.handLabels=je.hand,d0.fingerLabels=je.finger,d0.objectLabels=je.object,d0.gestureLabels=je.gesture}var B0=V(H());var _2={};we(_2,{connected:()=>r5,kpt:()=>o5});var o5=["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"],r5={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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o={};[o.ld,o.segmentation,o.heatmap,o.world,o.poseflag]=F0==null?void 0:F0.execute(e,qs.landmarks);let r=(await o.poseflag.data())[0],s=await o.ld.data(),A=await o.world.data();Object.keys(o).forEach(p=>B0.dispose(o[p]));let a=[],l=5;for(let p=0;p<s.length/l;p++){let f=K1(s[l*p+3]),b=K1(s[l*p+4]),M=Math.trunc(100*f*b*r)/100,T=[s[l*p+0]/A5,s[l*p+1]/A5,s[l*p+2]+0],m=[Math.trunc(n[0]*T[0]),Math.trunc(n[1]*T[1]),T[2]],h=[A[l*p+0],A[l*p+1],A[l*p+2]+0];a.push({part:o5[p],positionRaw:T,position:m,distance:h,score:M})}if(r<(t.body.minConfidence||0))return null;Ys(a);let c=Us(a,n),x=c.map(p=>p.position),i=ge(x,[n[0],n[1]]),y={};for(let[p,f]of Object.entries(r5)){let b=[];for(let M=0;M<f.length-1;M++){let T=c.find(h=>h.part===f[M]),m=c.find(h=>h.part===f[M+1]);T&&m&&b.push([T.position,m.position])}y[p]=b}return{id:0,score:Math.trunc(100*r)/100,box:i.box,boxRaw:i.boxRaw,keypoints:c,annotations:y}}async function a5(e,t){var s,A,a;let n=[e.shape[2]||0,e.shape[1]||0],o=(t.body.skipTime||0)>g()-Y1,r=s5<(t.body.skipFrames||0);if(t.skipAllowed&&o&&r&&nt!==null)s5++;else{let l=[];if((A=(s=t.body)==null?void 0:s.detector)!=null&&A.enabled){let c=J1(e,224);l=await q1(c,t,n),B0.dispose(c)}else l=[{box:[0,0,0,0],boxRaw:[0,0,1,1],score:0}];for(let c=0;c<l.length;c++){let x=J1(e,256,(a=l[c])==null?void 0:a.boxRaw);nt.length=0;let i=await Ks(x,t,n);B0.dispose(x),i&&(i.id=c,nt.push(i))}Y1=g(),s5=0}return nt}var L0=V(H());var d2=[{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 sign"},{class:13,label:"parking 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t=e===192?{strides:[4],anchors:[1]}:{strides:[e/16,e/8],anchors:[2,6]},n=[];for(let o=0;o<t.strides.length;o++){let r=t.strides[o],s=Math.floor((e+r-1)/r),A=Math.floor((e+r-1)/r),a=t.anchors[o];for(let l=0;l<s;l++){let c=r*(l+.5);for(let x=0;x<A;x++){let i=r*(x+.5);for(let y=0;y<a;y++)n.push([i,c])}}}return n}function x3(e,t,n,o,r){let s=x2(t),A=e.map(d=>[s[0]/r*(d[0]-r/2),s[1]/r*(d[1]-r/2),d[2]||0]),a=n&&n!==0&&Math.abs(n)>.2,l=a?c3(n,[0,0]):p5,c=a?A.map(d=>[...nA(d,l),d[2]]):A,x=a?tA(o):p5,i=rt(t),y=[t2(i,x[0]),t2(i,x[1])];return c.map(d=>[Math.trunc(d[0]+y[0]),Math.trunc(d[1]+y[1]),Math.trunc(d[2]||0)])}function y3(e,t,n,o){let r=t.landmarks.length>=_t.count?_t.symmetryLine:Ke.symmetryLine,s=0,A=p5,a;if(e&&v.kernels.includes("rotatewithoffset"))if(s=$s(t.landmarks[r[0]],t.landmarks[r[1]]),s&&s!==0&&Math.abs(s)>.2){let c=rt(t),x=[c[0]/n.shape[2],c[1]/n.shape[1]],i=Te.image.rotateWithOffset(n,s,0,[x[0],x[1]]);A=c3(-s,c),a=m5(t,i,[o,o]),Te.dispose(i)}else a=m5(t,n,[o,o]);else 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t={};t.boxStarts=L.slice(e,[0,1],[-1,2]),t.centers=L.add(t.boxStarts,h5),t.boxSizes=L.slice(e,[0,3],[-1,2]),t.boxSizesNormalized=L.div(t.boxSizes,y2),t.centersNormalized=L.div(t.centers,y2),t.halfBoxSize=L.div(t.boxSizesNormalized,C.tf2),t.starts=L.sub(t.centersNormalized,t.halfBoxSize),t.ends=L.add(t.centersNormalized,t.halfBoxSize),t.startNormalized=L.mul(t.starts,y2),t.endNormalized=L.mul(t.ends,y2);let n=L.concat2d([t.startNormalized,t.endNormalized],1);return Object.keys(t).forEach(o=>L.dispose(t[o])),n}async function u3(e,t){var a,l,c,x;if(!e||e.isDisposedInternal||e.shape.length!==4||e.shape[1]<1||e.shape[2]<1)return[];let n={};n.resized=L.image.resizeBilinear(e,[Ie,Ie]),n.div=L.div(n.resized,C.tf127),n.normalized=L.sub(n.div,C.tf05);let o=ae==null?void 0:ae.execute(n.normalized);if(Array.isArray(o)&&o.length>2){let i=o.sort((y,d)=>y.size-d.size);n.concat384=L.concat([i[0],i[2]],2),n.concat512=L.concat([i[1],i[3]],2),n.concat=L.concat([n.concat512,n.concat384],1),n.batch=L.squeeze(n.concat,[0])}else Array.isArray(o)?n.batch=L.squeeze(o[0]):n.batch=L.squeeze(o);L.dispose(o),n.boxes=sA(n.batch),n.logits=L.slice(n.batch,[0,0],[-1,1]),n.sigmoid=L.sigmoid(n.logits),n.scores=L.squeeze(n.sigmoid),n.nms=await L.image.nonMaxSuppressionAsync(n.boxes,n.scores,((a=t.face.detector)==null?void 0:a.maxDetected)||0,((l=t.face.detector)==null?void 0:l.iouThreshold)||0,((c=t.face.detector)==null?void 0:c.minConfidence)||0);let r=await n.nms.array(),s=[],A=await n.scores.data();for(let i=0;i<r.length;i++){let y=A[r[i]];if(y>(((x=t.face.detector)==null?void 0:x.minConfidence)||0)){let d={};d.bbox=L.slice(n.boxes,[r[i],0],[1,-1]),d.slice=L.slice(n.batch,[r[i],m3-1],[1,-1]),d.squeeze=L.squeeze(d.slice),d.landmarks=L.reshape(d.squeeze,[m3,-1]);let p=await d.bbox.data(),f={startPoint:[p[0],p[1]],endPoint:[p[2],p[3]],landmarks:await d.landmarks.array(),confidence:y},b=i3(f,[(e.shape[2]||0)/Ie,(e.shape[1]||0)/Ie]),M=at(b,t.face.scale||rA),T=it(M);s.push(T),Object.keys(d).forEach(m=>L.dispose(d[m]))}}return Object.keys(n).forEach(i=>L.dispose(n[i])),s}var ie=V(H());var G0,Oe=0,AA=2.3,b5=ne.leftEyeLower0,g5=ne.rightEyeLower0,m2={leftBounds:[b5[0],b5[b5.length-1]],rightBounds:[g5[0],g5[g5.length-1]]},p2={upperCenter:3,lowerCenter:4,index:71,numCoordinates:76};async function v3(e){var t,n;return v.initial&&(G0=null),G0?e.debug&&u("cached model:",G0.modelUrl):G0=await O((t=e.face.iris)==null?void 0:t.modelPath),Oe=(G0==null?void 0:G0.executor)&&((n=G0.inputs)==null?void 0:n[0].shape)?G0.inputs[0].shape[2]:0,Oe===-1&&(Oe=64),G0}function lt(e,t,n,o){for(let r=0;r<$t.length;r++){let{key:s,indices:A}=$t[r],a=ne[`${n}${s}`];if(!o||o.includes(s))for(let l=0;l<A.length;l++){let c=A[l];e[a[l]]=[t[c][0],t[c][1],(t[c][2]+e[a[l]][2])/2]}}}var aA=e=>{let t=e[m2.leftBounds[0]][2],n=e[m2.rightBounds[0]][2];return t-n},b3=(e,t,n,o,r,s=!1)=>{let A=it(at(l3([e[n],e[o]]),AA)),a=x2(A),l=ie.image.cropAndResize(t,[[A.startPoint[1]/r,A.startPoint[0]/r,A.endPoint[1]/r,A.endPoint[0]/r]],[0],[Oe,Oe]);if(s&&v.kernels.includes("flipleftright")){let c=ie.image.flipLeftRight(l);ie.dispose(l),l=c}return{box:A,boxSize:a,crop:l}},g3=(e,t,n,o=!1)=>{let r=[];for(let s=0;s<p2.numCoordinates;s++){let A=e[s*3],a=e[s*3+1],l=e[s*3+2];r.push([(o?1-A/Oe:A/Oe)*n[0]+t.startPoint[0],a/Oe*n[1]+t.startPoint[1],l])}return{rawCoords:r,iris:r.slice(p2.index)}},T3=(e,t,n)=>{let o=e[ne[`${n}EyeUpper0`][p2.upperCenter]][2],r=e[ne[`${n}EyeLower0`][p2.lowerCenter]][2],s=(o+r)/2;return t.map((A,a)=>{let l=s;return a===2?l=o:a===4&&(l=r),[A[0],A[1],l]})};async function R3(e,t,n){if(!(G0!=null&&G0.executor))return e;let{box:o,boxSize:r,crop:s}=b3(e,t,m2.leftBounds[0],m2.leftBounds[1],n,!0),{box:A,boxSize:a,crop:l}=b3(e,t,m2.rightBounds[0],m2.rightBounds[1],n,!0),c=ie.concat([s,l]);ie.dispose(s),ie.dispose(l);let x=G0.execute(c);ie.dispose(c);let i=await x.data();ie.dispose(x);let y=i.slice(0,p2.numCoordinates*3),{rawCoords:d,iris:p}=g3(y,o,r,!0),f=i.slice(p2.numCoordinates*3),{rawCoords:b,iris:M}=g3(f,A,a,!1),T=aA(e);Math.abs(T)<30?(lt(e,d,"left",null),lt(e,b,"right",null)):T<1?lt(e,d,"left",["EyeUpper0","EyeLower0"]):lt(e,b,"right",["EyeUpper0","EyeLower0"]);let m=T3(e,p,"left"),h=T3(e,M,"right");return e.concat(m).concat(h)}async function P3(e,t){var s,A,a,l,c,x,i,y,d,p;let n={lips:await((A=(s=t.filter(f=>f.size===160))==null?void 0:s[0])==null?void 0:A.data()),irisL:await((l=(a=t.filter(f=>f.size===10))==null?void 0:a[0])==null?void 0:l.data()),eyeL:await((x=(c=t.filter(f=>f.size===142))==null?void 0:c[0])==null?void 0:x.data()),irisR:await((y=(i=t.filter(f=>f.size===10))==null?void 0:i[1])==null?void 0:y.data()),eyeR:await((p=(d=t.filter(f=>f.size===142))==null?void 0:d[1])==null?void 0:p.data())};for(let f of Object.values(n))if(!f)return e;let o=Qe.reduce((f,b)=>f+=e[b][2],0)/Qe.length;for(let f=0;f<n.irisL.length/2;f++)e.push([n.irisL[2*f+0],n.irisL[2*f+1],o]);let r=_e.reduce((f,b)=>f+=e[b][2],0)/_e.length;for(let f=0;f<n.irisR.length/2;f++)e.push([n.irisR[2*f+0],n.irisR[2*f+1],r]);for(let f=0;f<n.eyeL.length/2;f++)e[Qe[f]]=[n.eyeL[2*f+0],n.eyeL[2*f+1],e[Qe[f]][2]];for(let f=0;f<n.eyeR.length/2;f++)e[_e[f]]=[n.eyeR[2*f+0],n.eyeR[2*f+1],e[_e[f]][2]];for(let f=0;f<n.lips.length/2;f++)e[S2[f]]=[n.lips[2*f+0],n.lips[2*f+1],e[S2[f]][2]];return e}var pe={boxes:[],skipped:Number.MAX_SAFE_INTEGER,timestamp:0},o0=null,j2=0;async function k3(e,t){var l,c,x,i,y,d,p,f,b,M;if(!(o0!=null&&o0.executor))return[];let n=(((l=t.face.detector)==null?void 0:l.skipTime)||0)>g()-pe.timestamp,o=pe.skipped<(((c=t.face.detector)==null?void 0:c.skipFrames)||0);!t.skipAllowed||!n||!o||pe.boxes.length===0?(pe.boxes=await u3(e,t),pe.timestamp=g(),pe.skipped=0):pe.skipped++;let r=[],s=[],A=0,a=j2;for(let T=0;T<pe.boxes.length;T++){let m=pe.boxes[T],h=0,S,P={id:A++,mesh:[],meshRaw:[],box:[0,0,0,0],boxRaw:[0,0,0,0],score:0,boxScore:0,faceScore:0,annotations:{}};if([h,S,P.tensor]=y3((x=t.face.detector)==null?void 0:x.rotation,m,e,(i=t.face.mesh)!=null&&i.enabled?j2:f2()),t.filter.equalization){let I=P.tensor?await F2(P.tensor):void 0;Le.dispose(P.tensor),I&&(P.tensor=I)}if(P.boxScore=Math.round(100*m.confidence)/100,(y=t.face.mesh)!=null&&y.enabled)if(!o0)t.debug&&u("face mesh detection requested, but model is not loaded");else{if(((d=t.face.attention)==null?void 0:d.enabled)&&!v.kernels.includes("atan2"))return t.face.attention.enabled=!1,Le.dispose(P.tensor),r;let I=o0.execute(P.tensor),t0=await I.find(G=>G.shape[G.shape.length-1]===1).data();if(P.faceScore=Math.round(100*t0[0])/100,P.faceScore<(((p=t.face.detector)==null?void 0:p.minConfidence)||1)){if(m.confidence=P.faceScore,t.face.mesh.keepInvalid){P.box=st(m,e),P.boxRaw=At(m,e),P.score=P.boxScore,P.mesh=m.landmarks.map(G=>[(m.startPoint[0]+m.endPoint[0])/2+(m.endPoint[0]+m.startPoint[0])*G[0]/f2(),(m.startPoint[1]+m.endPoint[1])/2+(m.endPoint[1]+m.startPoint[1])*G[1]/f2()]),P.meshRaw=P.mesh.map(G=>[G[0]/(e.shape[2]||1),G[1]/(e.shape[1]||1),(G[2]||0)/a]);for(let G of Object.keys(Ke))P.annotations[G]=[P.mesh[Ke[G]]]}}else{let G=I.find(Z=>Z.shape[Z.shape.length-1]===1404),$=Le.reshape(G,[-1,3]),s0=await $.array();Le.dispose($),(f=t.face.attention)!=null&&f.enabled?s0=await P3(s0,I):(b=t.face.iris)!=null&&b.enabled&&(s0=await R3(s0,P.tensor,j2)),P.mesh=x3(s0,m,h,S,j2),P.meshRaw=P.mesh.map(Z=>[Z[0]/(e.shape[2]||0),Z[1]/(e.shape[1]||0),(Z[2]||0)/a]);for(let Z of Object.keys(ne))P.annotations[Z]=ne[Z].map(b0=>P.mesh[b0]);P.score=P.faceScore;let R={...f3(P.mesh,m),confidence:m.confidence,landmarks:m.landmarks};P.box=st(R,e),P.boxRaw=At(R,e),s.push(R)}Le.dispose(I)}else{P.box=st(m,e),P.boxRaw=At(m,e),P.score=P.boxScore,P.mesh=m.landmarks.map(I=>[(m.startPoint[0]+m.endPoint[0])/2+(m.endPoint[0]+m.startPoint[0])*I[0]/f2(),(m.startPoint[1]+m.endPoint[1])/2+(m.endPoint[1]+m.startPoint[1])*I[1]/f2()]),P.meshRaw=P.mesh.map(I=>[I[0]/(e.shape[2]||0),I[1]/(e.shape[1]||0),(I[2]||0)/a]);for(let I of Object.keys(Ke))P.annotations[I]=[P.mesh[Ke[I]]]}P.score>(((M=t.face.detector)==null?void 0:M.minConfidence)||1)?r.push(P):Le.dispose(P.tensor)}return pe.boxes=s,r}async function w3(e){var t,n,o,r,s,A;return v.initial&&(o0=null),((t=e.face.attention)==null?void 0:t.enabled)&&(o0==null?void 0:o0.signature)&&Object.keys(((n=o0==null?void 0:o0.signature)==null?void 0:n.outputs)||{}).length<6&&(o0=null),o0?e.debug&&u("cached model:",o0.modelUrl):(o=e.face.attention)!=null&&o.enabled?o0=await O(e.face.attention.modelPath):o0=await O((r=e.face.mesh)==null?void 0:r.modelPath),j2=o0.executor&&((s=o0==null?void 0:o0.inputs)==null?void 0:s[0].shape)?(A=o0==null?void 0:o0.inputs)==null?void 0:A[0].shape[2]:256,o0}var E3=Je,z3=z2;var le=V(H());var lA=["angry","disgust","fear","happy","sad","surprise","neutral"],_0,ct=[],S3=0,j3=0,v5=Number.MAX_SAFE_INTEGER;async function N3(e){var t;return v.initial&&(_0=null),_0?e.debug&&u("cached model:",_0.modelUrl):_0=await O((t=e.face.emotion)==null?void 0:t.modelPath),_0}async function R5(e,t,n,o){var A,a;if(!_0)return[];let r=v5<(((A=t.face.emotion)==null?void 0:A.skipFrames)||0),s=(((a=t.face.emotion)==null?void 0:a.skipTime)||0)>g()-j3;return t.skipAllowed&&s&&r&&S3===o&&ct[n]&&ct[n].length>0?(v5++,ct[n]):(v5=0,new Promise(async l=>{var x;let c=[];if((x=t.face.emotion)!=null&&x.enabled){let i={},y=_0!=null&&_0.inputs[0].shape?_0.inputs[0].shape[2]:0;i.resize=le.image.resizeBilinear(e,[y,y],!1),i.channels=le.mul(i.resize,C.rgb),i.grayscale=le.sum(i.channels,3,!0),i.grayscaleSub=le.sub(i.grayscale,C.tf05),i.grayscaleMul=le.mul(i.grayscaleSub,C.tf2),i.emotion=_0==null?void 0:_0.execute(i.grayscaleMul),j3=g();let d=await i.emotion.data();for(let p=0;p<d.length;p++)d[p]>(t.face.emotion.minConfidence||0)&&c.push({score:Math.min(.99,Math.trunc(100*d[p])/100),emotion:lA[p]});c.sort((p,f)=>f.score-p.score),Object.keys(i).forEach(p=>le.dispose(i[p]))}ct[n]=c,S3=o,l(c)}))}var ce=V(H());var z0,Ce=[],O3=0,L3=0,M5=Number.MAX_SAFE_INTEGER;async function C3(e){var t;return v.initial&&(z0=null),z0?e.debug&&u("cached model:",z0.modelUrl):z0=await O((t=e.face.description)==null?void 0:t.modelPath),z0}function cA(e){let t=e.image||e.tensor||e;if(!(z0!=null&&z0.inputs[0].shape))return t;let n=ce.image.resizeBilinear(t,[z0.inputs[0].shape[2],z0.inputs[0].shape[1]],!1),o=ce.mul(n,C.tf255);return ce.dispose(n),o}async function P5(e,t,n,o){var a,l,c,x;let r={age:0,gender:"unknown",genderScore:0,descriptor:[]};if(!(z0!=null&&z0.executor))return r;let s=M5<(((a=t.face.description)==null?void 0:a.skipFrames)||0),A=(((l=t.face.description)==null?void 0:l.skipTime)||0)>g()-O3;return t.skipAllowed&&s&&A&&L3===o&&((c=Ce==null?void 0:Ce[n])==null?void 0:c.age)>0&&((x=Ce==null?void 0:Ce[n])==null?void 0:x.genderScore)>0?(M5++,Ce[n]):(M5=0,new Promise(async i=>{var y;if((y=t.face.description)!=null&&y.enabled){let d=cA(e),p=z0==null?void 0:z0.execute(d);O3=g(),ce.dispose(d);let b=await p.find(q=>q.shape[1]===1).data(),M=Math.trunc(200*Math.abs(b[0]-.5))/100;M>(t.face.description.minConfidence||0)&&(r.gender=b[0]<=.5?"female":"male",r.genderScore=Math.min(.99,M));let T=ce.argMax(p.find(q=>q.shape[1]===100),1),m=(await T.data())[0];ce.dispose(T);let S=await p.find(q=>q.shape[1]===100).data();r.age=Math.round(S[m-1]>S[m+1]?10*m-100*S[m-1]:10*m+100*S[m+1])/10,(Number.isNaN(b[0])||Number.isNaN(S[0]))&&u("faceres error:",{model:z0,result:p});let P=p.find(q=>q.shape[1]===1024),I=P?await P.data():[];r.descriptor=Array.from(I),p.forEach(q=>ce.dispose(q))}Ce[n]=r,L3=o,i(r)}))}var u2=.1,k5=.5;function dA(e,t,n){let o=!1,r=n.length-1;for(let s=0;s<n.length;r=s++)n[s].y>t!=n[r].y>t&&e<(n[r].x-n[s].x)*(t-n[s].y)/(n[r].y-n[s].y)+n[s].x&&(o=!o);return o}async function D3(e){if(!e.tensor||!e.mesh||e.mesh.length<100)return e.tensor;let t=e.tensor.shape[2]||0,n=e.tensor.shape[1]||0,o=await e.tensor.buffer(),r=[];for(let A of ne.silhouette)r.push({x:(e.mesh[A][0]-e.box[0])/e.box[2],y:(e.mesh[A][1]-e.box[1])/e.box[3]});u2&&u2>0&&(r=r.map(A=>({x:A.x>.5?A.x+u2:A.x-u2,y:A.y>.5?A.y+u2:A.y-u2})));for(let A=0;A<t;A++)for(let a=0;a<n;a++)dA(A/t,a/t,r)||(o.set(k5*o.get(0,a,A,0),0,a,A,0),o.set(k5*o.get(0,a,A,1),0,a,A,1),o.set(k5*o.get(0,a,A,2),0,a,A,2));return 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m=1;m<f.length;m++)b+=f[m][1]*(f[m][0]-b);i.age=Math.round(10*b)/10,Object.keys(c).forEach(m=>mt.dispose(c[m])),j5[n]=i,U3=o,Y3=g(),l(i)}))}var h2=V(H());var V0,pt=[],Q3=0,_3=0,O5=Number.MAX_SAFE_INTEGER;async function $3(e){return v.initial&&(V0=null),V0?e.debug&&u("cached model:",V0.modelUrl):V0=await O(e.face.ssrnet.modelPathAge),V0}async function L5(e,t,n,o){var A,a,l,c;if(!V0)return{age:0};let r=O5<(((A=t.face.ssrnet)==null?void 0:A.skipFrames)||0),s=(((a=t.face.ssrnet)==null?void 0:a.skipTime)||0)>g()-_3;return t.skipAllowed&&r&&s&&Q3===o&&((l=pt[n])==null?void 0:l.age)&&((c=pt[n])==null?void 0:c.age)>0?(O5++,pt[n]):(O5=0,new Promise(async x=>{var d;if(!(V0!=null&&V0.inputs)||!V0.inputs[0]||!V0.inputs[0].shape)return;let i={};i.resize=h2.image.resizeBilinear(e,[V0.inputs[0].shape[2],V0.inputs[0].shape[1]],!1),i.enhance=h2.mul(i.resize,C.tf255);let y={age:0};if((d=t.face.ssrnet)!=null&&d.enabled&&(i.age=V0.execute(i.enhance)),i.age){let p=await 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S0.mul(S0.sub(S,C.tf05),2)});let y={gender:"unknown",genderScore:0};(p=t.face.ssrnet)!=null&&p.enabled&&(i.gender=re.execute(i.enhance));let d=await i.gender.data();y.gender=d[0]>d[1]?"female":"male",y.genderScore=d[0]>d[1]?Math.trunc(100*d[0])/100:Math.trunc(100*d[1])/100,Object.keys(i).forEach(f=>S0.dispose(i[f])),ut[n]=y,tn=o,nn=g(),x(y)}))}var ht=V(H());var Z0,F5=[],sn=0,An=0,an=Number.MAX_SAFE_INTEGER;async function ln(e){var t;return v.initial&&(Z0=null),Z0?e.debug&&u("cached model:",Z0.modelUrl):Z0=await O((t=e.face.mobilefacenet)==null?void 0:t.modelPath),Z0}async function B5(e,t,n,o){var A,a;if(!(Z0!=null&&Z0.executor))return[];let r=an<(((A=t.face.mobilefacenet)==null?void 0:A.skipFrames)||0),s=(((a=t.face.mobilefacenet)==null?void 0:a.skipTime)||0)>g()-An;return t.skipAllowed&&s&&r&&sn===o&&F5[n]?(an++,F5[n]):new Promise(async l=>{var x;let c=[];if(((x=t.face.mobilefacenet)==null?void 0:x.enabled)&&(Z0==null?void 0:Z0.inputs[0].shape)){let i={};i.crop=ht.image.resizeBilinear(e,[Z0.inputs[0].shape[2],Z0.inputs[0].shape[1]],!1),i.data=Z0.execute(i.crop);let y=await i.data.data();c=Array.from(y),Object.keys(i).forEach(d=>ht.dispose(i[d]))}F5[n]=c,sn=o,An=g(),l(c)})}var bt=V(H());var X0,H5=[],dn=0,xn=0,yn=Number.MAX_SAFE_INTEGER;async function fn(e){return v.initial&&(X0=null),X0?e.debug&&u("cached model:",X0.modelUrl):X0=await O(e.face.insightface.modelPath),X0}async function G5(e,t,n,o){var A,a;if(!(X0!=null&&X0.executor))return[];let r=yn<(((A=t.face.insightface)==null?void 0:A.skipFrames)||0),s=(((a=t.face.insightface)==null?void 0:a.skipTime)||0)>g()-xn;return t.skipAllowed&&s&&r&&dn===o&&H5[n]?(yn++,H5[n]):new Promise(async l=>{var x;let c=[];if(((x=t.face.insightface)==null?void 0:x.enabled)&&(X0==null?void 0:X0.inputs[0].shape)){let i={};i.crop=bt.image.resizeBilinear(e,[X0.inputs[0].shape[2],X0.inputs[0].shape[1]],!1),i.data=X0.execute(i.crop);let y=await i.data.data();c=Array.from(y),Object.keys(i).forEach(d=>bt.dispose(i[d]))}H5[n]=c,dn=o,xn=g(),l(c)})}var mA=e=>{let t=(i,y)=>Math.atan2(i[1]-y[1],i[0]-y[0]);if(!e.annotations.rightEyeIris||!e.annotations.leftEyeIris)return{bearing:0,strength:0};let n=[0,-.1],o=1,r=(e.mesh[33][2]||0)>(e.mesh[263][2]||0),s=r?e.mesh[473]:e.mesh[468],A=r?[(e.mesh[133][0]+e.mesh[33][0])/2,(e.mesh[133][1]+e.mesh[33][1])/2]:[(e.mesh[263][0]+e.mesh[362][0])/2,(e.mesh[263][1]+e.mesh[362][1])/2],a=r?[e.mesh[133][0]-e.mesh[33][0],e.mesh[23][1]-e.mesh[27][1]]:[e.mesh[263][0]-e.mesh[362][0],e.mesh[253][1]-e.mesh[257][1]],l=[(A[0]-s[0])/a[0]-n[0],o*(s[1]-A[1])/a[1]-n[1]],c=Math.sqrt(l[0]*l[0]+l[1]*l[1]);return c=Math.min(c,e.boxRaw[2]/2,e.boxRaw[3]/2),{bearing:(t([0,0],l)+Math.PI/2)%Math.PI,strength:c}},pn=(e,t)=>{let n=f=>{let b=Math.sqrt(f[0]*f[0]+f[1]*f[1]+f[2]*f[2]);return f[0]/=b,f[1]/=b,f[2]/=b,f},o=(f,b)=>{let M=f[0]-b[0],T=f[1]-b[1],m=f[2]-b[2];return[M,T,m]},r=(f,b)=>{let M=f[1]*b[2]-f[2]*b[1],T=f[2]*b[0]-f[0]*b[2],m=f[0]*b[1]-f[1]*b[0];return[M,T,m]},s=f=>{let[b,M,T,m,h,S,P,I,q]=f,t0,G,$;return m<1?m>-1?($=Math.asin(m),G=Math.atan2(-P,b),t0=Math.atan2(-S,h)):($=-Math.PI/2,G=-Math.atan2(I,q),t0=0):($=Math.PI/2,G=Math.atan2(I,q),t0=0),Number.isNaN(t0)&&(t0=0),Number.isNaN(G)&&(G=0),Number.isNaN($)&&($=0),{pitch:2*-t0,yaw:2*-G,roll:2*-$}},A=e.meshRaw;if(!A||A.length<300)return{angle:{pitch:0,yaw:0,roll:0},matrix:[1,0,0,0,1,0,0,0,1],gaze:{bearing:0,strength:0}};let a=Math.max(e.boxRaw[2]*t[0],e.boxRaw[3]*t[1])/1.5,l=[A[10],A[152],A[234],A[454]].map(f=>[f[0]*t[0]/a,f[1]*t[1]/a,f[2]]),c=n(o(l[1],l[0])),x=n(o(l[3],l[2])),i=n(r(x,c));x=r(c,i);let y=[x[0],x[1],x[2],c[0],c[1],c[2],i[0],i[1],i[2]],d=s(y),p=A.length===478?mA(e):{bearing:0,strength:0};return{angle:d,matrix:y,gaze:p}};function un(e,t){let n=e==null?void 0:e.annotations;if(!n)return 0;let o=Math.max(Math.abs(n.leftEyeIris[3][0]-n.leftEyeIris[1][0]),Math.abs(n.rightEyeIris[3][0]-n.rightEyeIris[1][0]))/t;return Math.round(1.17/o)/100}var V5=async(e,t)=>{var p,f,b,M,T,m,h,S,P,I,q,t0,G,$,s0,R,Z,b0,U,g0,f0,B,X;let n=g(),o,r,s,A,a,l,c,x,i,y=[];e.state="run:face";let d=await k3(t,e.config);if(e.performance.face=v.perfadd?(e.performance.face||0)+Math.trunc(g()-n):Math.trunc(g()-n),!t.shape||t.shape.length!==4)return[];if(!d)return[];for(let z=0;z<d.length;z++){if(e.analyze("Get Face"),!d[z].tensor||d[z].tensor.isDisposedInternal){u("Face object is disposed:",d[z].tensor);continue}if((p=e.config.face.detector)!=null&&p.mask){let M2=await D3(d[z]);i0.dispose(d[z].tensor),M2&&(d[z].tensor=M2)}let $0=d[z].mesh&&d[z].mesh.length>200?pn(d[z],[t.shape[2],t.shape[1]]):null;e.analyze("Start Emotion:"),e.config.async?A=(f=e.config.face.emotion)!=null&&f.enabled?R5(d[z].tensor||i0.tensor([]),e.config,z,d.length):[]:(e.state="run:emotion",n=g(),A=(b=e.config.face.emotion)!=null&&b.enabled?await R5(d[z].tensor||i0.tensor([]),e.config,z,d.length):[],e.performance.emotion=v.perfadd?(e.performance.emotion||0)+Math.trunc(g()-n):Math.trunc(g()-n)),e.analyze("End Emotion:"),e.analyze("Start AntiSpoof:"),e.config.async?c=(M=e.config.face.antispoof)!=null&&M.enabled?E5(d[z].tensor||i0.tensor([]),e.config,z,d.length):0:(e.state="run:antispoof",n=g(),c=(T=e.config.face.antispoof)!=null&&T.enabled?await E5(d[z].tensor||i0.tensor([]),e.config,z,d.length):0,e.performance.antispoof=v.perfadd?(e.performance.antispoof||0)+Math.trunc(g()-n):Math.trunc(g()-n)),e.analyze("End AntiSpoof:"),e.analyze("Start Liveness:"),e.config.async?x=(m=e.config.face.liveness)!=null&&m.enabled?S5(d[z].tensor||i0.tensor([]),e.config,z,d.length):0:(e.state="run:liveness",n=g(),x=(h=e.config.face.liveness)!=null&&h.enabled?await S5(d[z].tensor||i0.tensor([]),e.config,z,d.length):0,e.performance.liveness=v.perfadd?(e.performance.antispoof||0)+Math.trunc(g()-n):Math.trunc(g()-n)),e.analyze("End Liveness:"),e.analyze("Start GEAR:"),e.config.async?r=(S=e.config.face.gear)!=null&&S.enabled?I5(d[z].tensor||i0.tensor([]),e.config,z,d.length):null:(e.state="run:gear",n=g(),r=(P=e.config.face.gear)!=null&&P.enabled?await I5(d[z].tensor||i0.tensor([]),e.config,z,d.length):null,e.performance.gear=Math.trunc(g()-n)),e.analyze("End GEAR:"),e.analyze("Start SSRNet:"),e.config.async?(o=(I=e.config.face.ssrnet)!=null&&I.enabled?L5(d[z].tensor||i0.tensor([]),e.config,z,d.length):null,s=(q=e.config.face.ssrnet)!=null&&q.enabled?D5(d[z].tensor||i0.tensor([]),e.config,z,d.length):null):(e.state="run:ssrnet",n=g(),o=(t0=e.config.face.ssrnet)!=null&&t0.enabled?await L5(d[z].tensor||i0.tensor([]),e.config,z,d.length):null,s=(G=e.config.face.ssrnet)!=null&&G.enabled?await D5(d[z].tensor||i0.tensor([]),e.config,z,d.length):null,e.performance.ssrnet=Math.trunc(g()-n)),e.analyze("End SSRNet:"),e.analyze("Start MobileFaceNet:"),e.config.async?a=($=e.config.face.mobilefacenet)!=null&&$.enabled?B5(d[z].tensor||i0.tensor([]),e.config,z,d.length):null:(e.state="run:mobilefacenet",n=g(),a=(s0=e.config.face.mobilefacenet)!=null&&s0.enabled?await B5(d[z].tensor||i0.tensor([]),e.config,z,d.length):null,e.performance.mobilefacenet=Math.trunc(g()-n)),e.analyze("End MobileFaceNet:"),e.analyze("Start InsightFace:"),e.config.async?l=(R=e.config.face.insightface)!=null&&R.enabled?G5(d[z].tensor||i0.tensor([]),e.config,z,d.length):null:(e.state="run:mobilefacenet",n=g(),l=(Z=e.config.face.insightface)!=null&&Z.enabled?await G5(d[z].tensor||i0.tensor([]),e.config,z,d.length):null,e.performance.mobilefacenet=Math.trunc(g()-n)),e.analyze("End InsightFace:"),e.analyze("Start Description:"),e.config.async?i=P5(d[z].tensor||i0.tensor([]),e.config,z,d.length):(e.state="run:description",n=g(),i=await P5(d[z].tensor||i0.tensor([]),e.config,z,d.length),e.performance.description=v.perfadd?(e.performance.description||0)+Math.trunc(g()-n):Math.trunc(g()-n)),e.analyze("End Description:"),e.config.async&&([o,s,A,a,l,i,r,c,x]=await Promise.all([o,s,A,a,l,i,r,c,x])),e.analyze("Finish Face:"),((b0=e.config.face.ssrnet)==null?void 0:b0.enabled)&&o&&s&&(i={...i,age:o.age,gender:s.gender,genderScore:s.genderScore}),((U=e.config.face.gear)==null?void 0:U.enabled)&&r&&(i={...i,age:r.age,gender:r.gender,genderScore:r.genderScore,race:r.race}),((g0=e.config.face.mobilefacenet)==null?void 0:g0.enabled)&&a&&(i.descriptor=a),((f0=e.config.face.insightface)==null?void 0:f0.enabled)&&l&&(i.descriptor=l);let Pe=(B=e.config.face.iris)!=null&&B.enabled?un(d[z],t.shape[2]):0,ke=(X=e.config.face.detector)!=null&&X.return?i0.squeeze(d[z].tensor):null;i0.dispose(d[z].tensor),d[z].tensor&&delete d[z].tensor;let T0={...d[z],id:z};i.age&&(T0.age=i.age),i.gender&&(T0.gender=i.gender),i.genderScore&&(T0.genderScore=i.genderScore),i.descriptor&&(T0.embedding=i.descriptor),i.race&&(T0.race=i.race),A&&(T0.emotion=A),c&&(T0.real=c),x&&(T0.live=x),Pe>0&&(T0.distance=Pe),$0&&(T0.rotation=$0),ke&&(T0.tensor=ke),y.push(T0),e.analyze("End Face")}return e.analyze("End FaceMesh:"),e.config.async&&(e.performance.face&&delete e.performance.face,e.performance.age&&delete e.performance.age,e.performance.gender&&delete e.performance.gender,e.performance.emotion&&delete e.performance.emotion),y};var 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Tt(e){return[Math.abs(e.endPoint[0]-e.startPoint[0]),Math.abs(e.endPoint[1]-e.startPoint[1])]}function N2(e){return[e.startPoint[0]+(e.endPoint[0]-e.startPoint[0])/2,e.startPoint[1]+(e.endPoint[1]-e.startPoint[1])/2]}function In(e,t,n){let o=t.shape[1],r=t.shape[2],s=[[e.startPoint[1]/o,e.startPoint[0]/r,e.endPoint[1]/o,e.endPoint[0]/r]];return Nn.image.cropAndResize(t,s,[0],n)}function On(e,t){let n=[e.startPoint[0]*t[0],e.startPoint[1]*t[1]],o=[e.endPoint[0]*t[0],e.endPoint[1]*t[1]],r=e.palmLandmarks.map(s=>[s[0]*t[0],s[1]*t[1]]);return{startPoint:n,endPoint:o,palmLandmarks:r,confidence:e.confidence}}function vt(e,t=1.5){let n=N2(e),o=Tt(e),r=[t*o[0]/2,t*o[1]/2],s=[n[0]-r[0],n[1]-r[1]],A=[n[0]+r[0],n[1]+r[1]];return{startPoint:s,endPoint:A,palmLandmarks:e.palmLandmarks}}function Rt(e){let t=N2(e),n=Tt(e),r=Math.max(...n)/2,s=[t[0]-r,t[1]-r],A=[t[0]+r,t[1]+r];return{startPoint:s,endPoint:A,palmLandmarks:e.palmLandmarks}}function PA(e){return e-2*Math.PI*Math.floor((e+Math.PI)/(2*Math.PI))}function Ln(e,t){let n=Math.PI/2-Math.atan2(-(t[1]-e[1]),t[0]-e[0]);return PA(n)}var Sn=(e,t)=>[[1,0,e],[0,1,t],[0,0,1]];function Ge(e,t){let n=0;for(let o=0;o<e.length;o++)n+=e[o]*t[o];return n}function kA(e,t){let n=[];for(let o=0;o<e.length;o++)n.push(e[o][t]);return n}function jn(e,t){let n=[],o=e.length;for(let r=0;r<o;r++){n.push([]);for(let s=0;s<o;s++)n[r].push(Ge(e[r],kA(t,s)))}return n}function q5(e,t){let n=Math.cos(e),o=Math.sin(e),r=[[n,-o,0],[o,n,0],[0,0,1]],s=Sn(t[0],t[1]),A=jn(s,r),a=Sn(-t[0],-t[1]);return jn(A,a)}function Cn(e){let t=[[e[0][0],e[1][0]],[e[0][1],e[1][1]]],n=[e[0][2],e[1][2]],o=[-Ge(t[0],n),-Ge(t[1],n)];return[t[0].concat(o[0]),t[1].concat(o[1]),[0,0,1]]}function U5(e,t){return[Ge(e,t[0]),Ge(e,t[1])]}var 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o=W.concat2d([n.startPoints,n.endPoints],1);return Object.keys(n).forEach(r=>W.dispose(n[r])),o}normalizeLandmarks(t,n){let o={};o.reshape=W.reshape(t,[-1,7,2]),o.div=W.div(o.reshape,this.inputSizeTensor),o.landmarks=W.add(o.div,this.anchors[n]?this.anchors[n]:0);let r=W.mul(o.landmarks,this.inputSizeTensor);return Object.keys(o).forEach(s=>W.dispose(o[s])),r}async predict(t,n){var a;let o={};o.resize=W.image.resizeBilinear(t,[this.inputSize,this.inputSize]),o.div=W.div(o.resize,C.tf127),o.image=W.sub(o.div,C.tf1),o.batched=this.model.execute(o.image),o.predictions=W.squeeze(o.batched),o.slice=W.slice(o.predictions,[0,0],[-1,1]),o.sigmoid=W.sigmoid(o.slice),o.scores=W.squeeze(o.sigmoid);let r=await o.scores.data();o.boxes=W.slice(o.predictions,[0,1],[-1,4]),o.norm=this.normalizeBoxes(o.boxes),o.nms=await W.image.nonMaxSuppressionAsync(o.norm,o.scores,3*(((a=n.hand)==null?void 0:a.maxDetected)||1),n.hand.iouThreshold,n.hand.minConfidence);let s=await o.nms.array(),A=[];for(let l of s){let c={};c.box=W.slice(o.norm,[l,0],[1,-1]),c.slice=W.slice(o.predictions,[l,5],[1,14]),c.norm=this.normalizeLandmarks(c.slice,l),c.palmLandmarks=W.reshape(c.norm,[-1,2]);let x=await c.box.data(),i=x.slice(0,2),y=x.slice(2,4),d=await c.palmLandmarks.array(),p={startPoint:i,endPoint:y,palmLandmarks:d,confidence:r[l]},f=On(p,[(t.shape[2]||1)/this.inputSize,(t.shape[1]||0)/this.inputSize]);A.push(f),Object.keys(c).forEach(b=>W.dispose(c[b]))}return Object.keys(o).forEach(l=>W.dispose(o[l])),A}};var q0=V(H());var zA=5,Fn=1.65,Bn=[0,5,9,13,17,1,2],SA=0,jA=2,Hn=0,Pt=class{constructor(t,n){k(this,"handDetector");k(this,"handPoseModel");k(this,"inputSize");k(this,"storedBoxes");k(this,"skipped");k(this,"detectedHands");var o,r,s;this.handDetector=t,this.handPoseModel=n,this.inputSize=((s=(r=(o=this.handPoseModel)==null?void 0:o.inputs)==null?void 0:r[0].shape)==null?void 0:s[2])||0,this.storedBoxes=[],this.skipped=Number.MAX_SAFE_INTEGER,this.detectedHands=0}calculateLandmarksBoundingBox(t){let n=t.map(A=>A[0]),o=t.map(A=>A[1]),r=[Math.min(...n),Math.min(...o)],s=[Math.max(...n),Math.max(...o)];return{startPoint:r,endPoint:s}}getBoxForPalmLandmarks(t,n){let o=t.map(s=>U5([...s,1],n)),r=this.calculateLandmarksBoundingBox(o);return vt(Rt(r),zA)}getBoxForHandLandmarks(t){let n=this.calculateLandmarksBoundingBox(t),o=vt(Rt(n),Fn);o.palmLandmarks=[];for(let r=0;r<Bn.length;r++)o.palmLandmarks.push(t[Bn[r]].slice(0,2));return o}transformRawCoords(t,n,o,r){let s=Tt(n),A=[s[0]/this.inputSize,s[1]/this.inputSize,(s[0]+s[1])/this.inputSize/2],a=t.map(d=>[A[0]*(d[0]-this.inputSize/2),A[1]*(d[1]-this.inputSize/2),A[2]*d[2]]),l=q5(o,[0,0]),c=a.map(d=>[...U5(d,l),d[2]]),x=Cn(r),i=[...N2(n),1],y=[Ge(i,x[0]),Ge(i,x[1])];return c.map(d=>[Math.trunc(d[0]+y[0]),Math.trunc(d[1]+y[1]),Math.trunc(d[2])])}async estimateHands(t,n){let o=!1,r,s=(n.hand.skipTime||0)>g()-Hn,A=this.skipped<(n.hand.skipFrames||0);n.skipAllowed&&s&&A&&(r=await this.handDetector.predict(t,n),this.skipped=0),n.skipAllowed&&this.skipped++,r&&r.length>0&&(r.length!==this.detectedHands&&this.detectedHands!==n.hand.maxDetected||!n.hand.landmarks)&&(this.detectedHands=0,this.storedBoxes=[...r],this.storedBoxes.length>0&&(o=!0));let a=[];for(let l=0;l<this.storedBoxes.length;l++){let c=this.storedBoxes[l];if(!!c)if(n.hand.landmarks){let x=n.hand.rotation?Ln(c.palmLandmarks[SA],c.palmLandmarks[jA]):0,i=N2(c),y=[i[0]/t.shape[2],i[1]/t.shape[1]],d=n.hand.rotation&&v.kernels.includes("rotatewithoffset")?q0.image.rotateWithOffset(t,x,0,y):t.clone(),p=q5(-x,i),f=o?this.getBoxForPalmLandmarks(c.palmLandmarks,p):c,b=In(f,d,[this.inputSize,this.inputSize]),M=q0.div(b,C.tf255);q0.dispose(b),q0.dispose(d);let[T,m]=this.handPoseModel.execute(M);Hn=g(),q0.dispose(M);let h=(await T.data())[0];if(q0.dispose(T),h>=n.hand.minConfidence/4){let S=q0.reshape(m,[-1,3]),P=await S.array();q0.dispose(m),q0.dispose(S);let I=this.transformRawCoords(P,f,x,p),q=this.getBoxForHandLandmarks(I);this.storedBoxes[l]={...q,confidence:h};let t0={landmarks:I,confidence:h,boxConfidence:c.confidence,fingerConfidence:h,box:{topLeft:q.startPoint,bottomRight:q.endPoint}};a.push(t0)}else this.storedBoxes[l]=null;q0.dispose(m)}else{let x=vt(Rt(c),Fn),i={confidence:c.confidence,boxConfidence:c.confidence,fingerConfidence:0,box:{topLeft:x.startPoint,bottomRight:x.endPoint},landmarks:[]};a.push(i)}}return this.storedBoxes=this.storedBoxes.filter(l=>l!==null),this.detectedHands=a.length,a.length>n.hand.maxDetected&&(a.length=n.hand.maxDetected),a}};var Gn={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]},s2,A2,Vn;async function Y5(e,t){let n=await Vn.estimateHands(e,t);if(!n)return[];let o=[];for(let r=0;r<n.length;r++){let s={};if(n[r].landmarks)for(let x of Object.keys(Gn))s[x]=Gn[x].map(i=>n[r].landmarks[i]);let A=n[r].landmarks,a=[Number.MAX_SAFE_INTEGER,Number.MAX_SAFE_INTEGER,0,0],l=[0,0,0,0];if(A&&A.length>0){for(let x of A)x[0]<a[0]&&(a[0]=x[0]),x[1]<a[1]&&(a[1]=x[1]),x[0]>a[2]&&(a[2]=x[0]),x[1]>a[3]&&(a[3]=x[1]);a[2]-=a[0],a[3]-=a[1],l=[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=n[r].box?[Math.trunc(Math.max(0,n[r].box.topLeft[0])),Math.trunc(Math.max(0,n[r].box.topLeft[1])),Math.trunc(Math.min(e.shape[2]||0,n[r].box.bottomRight[0])-Math.max(0,n[r].box.topLeft[0])),Math.trunc(Math.min(e.shape[1]||0,n[r].box.bottomRight[1])-Math.max(0,n[r].box.topLeft[1]))]:[0,0,0,0],l=[n[r].box.topLeft[0]/(e.shape[2]||0),n[r].box.topLeft[1]/(e.shape[1]||0),(n[r].box.bottomRight[0]-n[r].box.topLeft[0])/(e.shape[2]||0),(n[r].box.bottomRight[1]-n[r].box.topLeft[1])/(e.shape[1]||0)];let c=gt(A);o.push({id:r,score:Math.round(100*n[r].confidence)/100,boxScore:Math.round(100*n[r].boxConfidence)/100,fingerScore:Math.round(100*n[r].fingerConfidence)/100,label:"hand",box:a,boxRaw:l,keypoints:A,annotations:s,landmarks:c})}return o}async function Zn(e){var n,o;v.initial&&(s2=null,A2=null),!s2||!A2?[s2,A2]=await Promise.all([e.hand.enabled?O((n=e.hand.detector)==null?void 0:n.modelPath):null,e.hand.landmarks?O((o=e.hand.skeleton)==null?void 0:o.modelPath):null]):(e.debug&&u("cached model:",s2.modelUrl),e.debug&&u("cached model:",A2.modelUrl));let t=s2?new Mt(s2):void 0;return t&&A2&&(Vn=new Pt(t,A2)),[s2,A2]}var Q=V(H());var y0=[null,null],IA=["StatefulPartitionedCall/Postprocessor/Slice","StatefulPartitionedCall/Postprocessor/ExpandDims_1"],Ve=[[0,0],[0,0]],OA=["hand","fist","pinch","point","face","tip","pinchtip"],qn=4,Un=1.6,LA=512,CA=1.4,kt=Number.MAX_SAFE_INTEGER,K5=0,Me=[0,0],x0={boxes:[],hands:[]},Yn={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 Kn(e){var t;if(v.initial&&(y0[0]=null),y0[0])e.debug&&u("cached model:",y0[0].modelUrl);else{X2(["tensorlistreserve","enter","tensorlistfromtensor","merge","loopcond","switch","exit","tensorliststack","nextiteration","tensorlistsetitem","tensorlistgetitem","reciprocal","shape","split","where"],e),y0[0]=await O((t=e.hand.detector)==null?void 0:t.modelPath);let n=y0[0].executor?Object.values(y0[0].modelSignature.inputs):void 0;Ve[0][0]=Array.isArray(n)?parseInt(n[0].tensorShape.dim[1].size):0,Ve[0][1]=Array.isArray(n)?parseInt(n[0].tensorShape.dim[2].size):0}return y0[0]}async function Jn(e){var t;if(v.initial&&(y0[1]=null),y0[1])e.debug&&u("cached model:",y0[1].modelUrl);else{y0[1]=await O((t=e.hand.skeleton)==null?void 0:t.modelPath);let n=y0[1].executor?Object.values(y0[1].modelSignature.inputs):void 0;Ve[1][0]=Array.isArray(n)?parseInt(n[0].tensorShape.dim[1].size):0,Ve[1][1]=Array.isArray(n)?parseInt(n[0].tensorShape.dim[2].size):0}return y0[1]}async function WA(e,t){let n=[];if(!e||!y0[0])return n;let o={},r=(e.shape[2]||1)/(e.shape[1]||1),s=Math.min(Math.round((e.shape[1]||0)/8)*8,LA),A=Math.round(s*r/8)*8;o.resize=Q.image.resizeBilinear(e,[s,A]),o.cast=Q.cast(o.resize,"int32"),[o.rawScores,o.rawBoxes]=await y0[0].executeAsync(o.cast,IA),o.boxes=Q.squeeze(o.rawBoxes,[0,2]),o.scores=Q.squeeze(o.rawScores,[0]);let a=Q.unstack(o.scores,1);Q.dispose(a[qn]),a.splice(qn,1),o.filtered=Q.stack(a,1),Q.dispose(a),o.max=Q.max(o.filtered,1),o.argmax=Q.argMax(o.filtered,1);let l=0;o.nms=await Q.image.nonMaxSuppressionAsync(o.boxes,o.max,(t.hand.maxDetected||0)+1,t.hand.iouThreshold||0,t.hand.minConfidence||1);let c=await o.nms.data(),x=await o.max.data(),i=await o.argmax.data();for(let y of Array.from(c)){let d=Q.slice(o.boxes,y,1),p=await d.data();Q.dispose(d);let f=[p[1],p[0],p[3]-p[1],p[2]-p[0]],b=et(f,CA),M=[Math.trunc(f[0]*Me[0]),Math.trunc(f[1]*Me[1]),Math.trunc(f[2]*Me[0]),Math.trunc(f[3]*Me[1])],T=x[y],m=OA[i[y]],h={id:l++,score:T,box:M,boxRaw:b,label:m};n.push(h)}return Object.keys(o).forEach(y=>Q.dispose(o[y])),n.sort((y,d)=>d.score-y.score),n.length>(t.hand.maxDetected||1)&&(n.length=t.hand.maxDetected||1),n}async function J5(e,t,n){let o={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&&y0[1]&&n.hand.landmarks&&t.score>(n.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=Q.image.cropAndResize(e,[s],[0],[Ve[1][0],Ve[1][1]],"bilinear"),r.div=Q.div(r.crop,C.tf255),[r.score,r.keypoints]=y0[1].execute(r.div,["Identity_1","Identity"]);let A=(await r.score.data())[0],a=(100-Math.trunc(100/(1+Math.exp(A))))/100;if(a>=(n.hand.minConfidence||0)){o.fingerScore=a,r.reshaped=Q.reshape(r.keypoints,[-1,3]);let x=(await r.reshaped.array()).map(i=>[i[0]/Ve[1][1],i[1]/Ve[1][0],i[2]||0]).map(i=>[i[0]*t.boxRaw[2],i[1]*t.boxRaw[3],i[2]||0]);o.keypoints=x.map(i=>[Me[0]*(i[0]+t.boxRaw[0]),Me[1]*(i[1]+t.boxRaw[1]),i[2]||0]),o.landmarks=gt(o.keypoints);for(let i of Object.keys(Yn))o.annotations[i]=Yn[i].map(y=>o.landmarks&&o.keypoints[y]?o.keypoints[y]:null)}Object.keys(r).forEach(l=>Q.dispose(r[l]))}return o}async function Q5(e,t){var r,s;if(!((r=y0[0])!=null&&r.executor)||!((s=y0[1])!=null&&s.executor)||!y0[0].inputs[0].shape||!y0[1].inputs[0].shape)return[];Me=[e.shape[2]||0,e.shape[1]||0],kt++;let n=(t.hand.skipTime||0)>g()-K5,o=kt<(t.hand.skipFrames||0);return t.skipAllowed&&n&&o?x0.hands:new Promise(async A=>{let a=3*(t.hand.skipTime||0)>g()-K5,l=kt<3*(t.hand.skipFrames||0);t.skipAllowed&&x0.hands.length===t.hand.maxDetected?x0.hands=await Promise.all(x0.boxes.map(x=>J5(e,x,t))):t.skipAllowed&&a&&l&&x0.hands.length>0?x0.hands=await Promise.all(x0.boxes.map(x=>J5(e,x,t))):(x0.boxes=await WA(e,t),K5=g(),x0.hands=await Promise.all(x0.boxes.map(x=>J5(e,x,t))),kt=0);let c=[...x0.boxes];if(x0.boxes.length=0,t.cacheSensitivity>0)for(let x=0;x<x0.hands.length;x++){let i=U1(x0.hands[x].keypoints,Me);if(i.box[2]/(e.shape[2]||1)>.05&&i.box[3]/(e.shape[1]||1)>.05&&x0.hands[x].fingerScore&&x0.hands[x].fingerScore>(t.hand.minConfidence||0)){let y=et(i.box,Un),d=et(i.boxRaw,Un);x0.boxes.push({...c[x],box:y,boxRaw:d})}}for(let x=0;x<x0.hands.length;x++){let i=ge(x0.hands[x].keypoints,Me);x0.hands[x].box=i.box,x0.hands[x].boxRaw=i.boxRaw}A(x0.hands)})}var ue=(e=null)=>({face:[],body:[],hand:[],gesture:[],object:[],persons:[],performance:{},timestamp:0,width:0,height:0,error:e});var I2={};we(I2,{connected:()=>Et,horizontal:()=>_5,kpt:()=>wt,relative:()=>e1,vertical:()=>$5});var wt=["nose","leftEye","rightEye","leftEar","rightEar","leftShoulder","rightShoulder","leftElbow","rightElbow","leftWrist","rightWrist","leftHip","rightHip","leftKnee","rightKnee","leftAnkle","rightAnkle"],_5=[["leftEye","rightEye"],["leftEar","rightEar"],["leftShoulder","rightShoulder"],["leftElbow","rightElbow"],["leftWrist","rightWrist"],["leftHip","rightHip"],["leftKnee","rightKnee"],["leftAnkle","rightAnkle"]],$5=[["leftKnee","leftShoulder"],["rightKnee","rightShoulder"],["leftAnkle","leftKnee"],["rightAnkle","rightKnee"]],e1=[[["leftHip","rightHip"],["leftShoulder","rightShoulder"]],[["leftElbow","rightElbow"],["leftShoulder","rightShoulder"]]],Et={leftLeg:["leftHip","leftKnee","leftAnkle"],rightLeg:["rightHip","rightKnee","rightAnkle"],torso:["leftShoulder","rightShoulder","rightHip","leftHip","leftShoulder"],leftArm:["leftShoulder","leftElbow","leftWrist"],rightArm:["rightShoulder","rightElbow","rightWrist"],head:[]};var w=ue(),t1=0;function _n(e,t){var A,a,l,c,x,i,y,d,p,f,b,M,T,m,h,S,P,I,q,t0,G,$,s0;let n=g();if(!e)return ue();let o=Date.now()-e.timestamp,r=o<1e3?8-Math.log(o+1):1;if(e.canvas&&(w.canvas=e.canvas),e.error&&(w.error=e.error),!w.body||e.body.length!==w.body.length)w.body=JSON.parse(JSON.stringify(e.body));else for(let R=0;R<e.body.length;R++){let Z=e.body[R].box.map((B,X)=>((r-1)*w.body[R].box[X]+B)/r),b0=e.body[R].boxRaw.map((B,X)=>((r-1)*w.body[R].boxRaw[X]+B)/r),U=e.body[R].keypoints.map((B,X)=>{var z,$0,Pe,ke,T0,M2,g1,T1,v1;return{score:B.score,part:B.part,position:[w.body[R].keypoints[X]?((r-1)*(w.body[R].keypoints[X].position[0]||0)+(B.position[0]||0))/r:B.position[0],w.body[R].keypoints[X]?((r-1)*(w.body[R].keypoints[X].position[1]||0)+(B.position[1]||0))/r:B.position[1],w.body[R].keypoints[X]?((r-1)*(w.body[R].keypoints[X].position[2]||0)+(B.position[2]||0))/r:B.position[2]],positionRaw:[w.body[R].keypoints[X]?((r-1)*(w.body[R].keypoints[X].positionRaw[0]||0)+(B.positionRaw[0]||0))/r:B.positionRaw[0],w.body[R].keypoints[X]?((r-1)*(w.body[R].keypoints[X].positionRaw[1]||0)+(B.positionRaw[1]||0))/r:B.positionRaw[1],w.body[R].keypoints[X]?((r-1)*(w.body[R].keypoints[X].positionRaw[2]||0)+(B.positionRaw[2]||0))/r:B.positionRaw[2]],distance:[w.body[R].keypoints[X]?((r-1)*(((z=w.body[R].keypoints[X].distance)==null?void 0:z[0])||0)+((($0=B.distance)==null?void 0:$0[0])||0))/r:(Pe=B.distance)==null?void 0:Pe[0],w.body[R].keypoints[X]?((r-1)*(((ke=w.body[R].keypoints[X].distance)==null?void 0:ke[1])||0)+(((T0=B.distance)==null?void 0:T0[1])||0))/r:(M2=B.distance)==null?void 0:M2[1],w.body[R].keypoints[X]?((r-1)*(((g1=w.body[R].keypoints[X].distance)==null?void 0:g1[2])||0)+(((T1=B.distance)==null?void 0:T1[2])||0))/r:(v1=B.distance)==null?void 0:v1[2]]}}),g0={},f0={connected:{}};(A=t.body.modelPath)!=null&&A.includes("efficientpose")?f0=ot:(a=t.body.modelPath)!=null&&a.includes("blazepose")?f0=_2:(l=t.body.modelPath)!=null&&l.includes("movenet")&&(f0=I2);for(let[B,X]of Object.entries(f0.connected)){let z=[];for(let $0=0;$0<X.length-1;$0++){let Pe=U.find(T0=>T0.part===X[$0]),ke=U.find(T0=>T0.part===X[$0+1]);Pe&&ke&&z.push([Pe.position,ke.position])}g0[B]=z}w.body[R]={...e.body[R],box:Z,boxRaw:b0,keypoints:U,annotations:g0}}if(!w.hand||e.hand.length!==w.hand.length)w.hand=JSON.parse(JSON.stringify(e.hand));else for(let R=0;R<e.hand.length;R++){let Z=e.hand[R].box.map((f0,B)=>((r-1)*w.hand[R].box[B]+f0)/r),b0=e.hand[R].boxRaw.map((f0,B)=>((r-1)*w.hand[R].boxRaw[B]+f0)/r);w.hand[R].keypoints.length!==e.hand[R].keypoints.length&&(w.hand[R].keypoints=e.hand[R].keypoints);let U=e.hand[R].keypoints&&e.hand[R].keypoints.length>0?e.hand[R].keypoints.map((f0,B)=>f0.map((X,z)=>((r-1)*(w.hand[R].keypoints[B][z]||1)+(X||0))/r)):[],g0={};if(Object.keys(w.hand[R].annotations).length!==Object.keys(e.hand[R].annotations).length)w.hand[R].annotations=e.hand[R].annotations,g0=w.hand[R].annotations;else if(e.hand[R].annotations)for(let f0 of Object.keys(e.hand[R].annotations))g0[f0]=(i=(x=(c=e.hand[R])==null?void 0:c.annotations)==null?void 0:x[f0])!=null&&i[0]?e.hand[R].annotations[f0].map((B,X)=>B.map((z,$0)=>((r-1)*w.hand[R].annotations[f0][X][$0]+z)/r)):null;w.hand[R]={...e.hand[R],box:Z,boxRaw:b0,keypoints:U,annotations:g0}}if(!w.face||e.face.length!==w.face.length)w.face=JSON.parse(JSON.stringify(e.face));else for(let R=0;R<e.face.length;R++){let Z=e.face[R].box.map((U,g0)=>((r-1)*w.face[R].box[g0]+U)/r),b0=e.face[R].boxRaw.map((U,g0)=>((r-1)*w.face[R].boxRaw[g0]+U)/r);if(e.face[R].rotation){let U={matrix:[0,0,0,0,0,0,0,0,0],angle:{roll:0,yaw:0,pitch:0},gaze:{bearing:0,strength:0}};U.matrix=(y=e.face[R].rotation)==null?void 0:y.matrix,U.angle={roll:((r-1)*(((p=(d=w.face[R].rotation)==null?void 0:d.angle)==null?void 0:p.roll)||0)+(((b=(f=e.face[R].rotation)==null?void 0:f.angle)==null?void 0:b.roll)||0))/r,yaw:((r-1)*(((T=(M=w.face[R].rotation)==null?void 0:M.angle)==null?void 0:T.yaw)||0)+(((h=(m=e.face[R].rotation)==null?void 0:m.angle)==null?void 0:h.yaw)||0))/r,pitch:((r-1)*(((P=(S=w.face[R].rotation)==null?void 0:S.angle)==null?void 0:P.pitch)||0)+(((q=(I=e.face[R].rotation)==null?void 0:I.angle)==null?void 0:q.pitch)||0))/r},U.gaze={bearing:((r-1)*(((t0=w.face[R].rotation)==null?void 0:t0.gaze.bearing)||0)+(((G=e.face[R].rotation)==null?void 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f5(a.tensor,y):[]:(I=this.config.body.modelPath)!=null&&I.includes("movenet")&&(c=this.config.body.enabled?await A1(a.tensor,y):[]),this.performance.body=this.env.perfadd?(this.performance.body||0)+Math.trunc(g()-r):Math.trunc(g()-r)),this.analyze("End Body:"),this.analyze("Start Hand:"),this.state="detect:hand";let d=this.config.hand.maxDetected===-1?A0(this.config,{hand:{maxDetected:this.config.face.enabled?2*l.length:1}}):this.config;this.config.async?((t0=(q=this.config.hand.detector)==null?void 0:q.modelPath)!=null&&t0.includes("handdetect")?x=this.config.hand.enabled?Y5(a.tensor,d):[]:($=(G=this.config.hand.detector)==null?void 0:G.modelPath)!=null&&$.includes("handtrack")&&(x=this.config.hand.enabled?Q5(a.tensor,d):[]),this.performance.hand&&delete this.performance.hand):(r=g(),(R=(s0=this.config.hand.detector)==null?void 0:s0.modelPath)!=null&&R.includes("handdetect")?x=this.config.hand.enabled?await Y5(a.tensor,d):[]:(b0=(Z=this.config.hand.detector)==null?void 0:Z.modelPath)!=null&&b0.includes("handtrack")&&(x=this.config.hand.enabled?await Q5(a.tensor,d):[]),this.performance.hand=this.env.perfadd?(this.performance.hand||0)+Math.trunc(g()-r):Math.trunc(g()-r)),this.analyze("End Hand:"),this.analyze("Start Object:"),this.state="detect:object",this.config.async?((U=this.config.object.modelPath)!=null&&U.includes("nanodet")?i=this.config.object.enabled?i1(a.tensor,this.config):[]:(g0=this.config.object.modelPath)!=null&&g0.includes("centernet")&&(i=this.config.object.enabled?c5(a.tensor,this.config):[]),this.performance.object&&delete this.performance.object):(r=g(),(f0=this.config.object.modelPath)!=null&&f0.includes("nanodet")?i=this.config.object.enabled?await i1(a.tensor,this.config):[]:(B=this.config.object.modelPath)!=null&&B.includes("centernet")&&(i=this.config.object.enabled?await c5(a.tensor,this.config):[]),this.performance.object=this.env.perfadd?(this.performance.object||0)+Math.trunc(g()-r):Math.trunc(g()-r)),this.analyze("End Object:"),this.state="detect:await",this.config.async&&([l,c,x,i]=await Promise.all([l,c,x,i])),this.state="detect:gesture";let p=[];this.config.gesture.enabled&&(r=g(),p=[...wn(l),...kn(c),...zn(x),...En(l)],this.config.async?this.performance.gesture&&delete this.performance.gesture:this.performance.gesture=this.env.perfadd?(this.performance.gesture||0)+Math.trunc(g()-r):Math.trunc(g()-r)),this.performance.total=this.env.perfadd?(this.performance.total||0)+Math.trunc(g()-A):Math.trunc(g()-A);let f=((X=this.process.tensor)==null?void 0:X.shape)||[0,0,0,0];this.result={face:l,body:c,hand:x,gesture:p,object:i,performance:this.performance,canvas:this.process.canvas,timestamp:Date.now(),error:null,width:f[2],height:f[1],get persons(){return wo(l,c,x,p,f)}},Ae.dispose(a.tensor),this.emit("detect"),this.state="idle",o(this.result)})}async sleep(t){return new Promise(n=>{setTimeout(n,t)})}async video(t,n=!0,o=0){n?(fe(this,Xe)[t.id]||(this.config.debug&&u("video start",t.id),fe(this,Xe)[t.id]=!0),!t.paused&&fe(this,Xe)[t.id]&&t.readyState>=2&&await this.detect(t),o>0&&await this.sleep(o),fe(this,Xe)[t.id]&&requestAnimationFrame(()=>this.video(t,n,o))):(this.config.debug&&u("video stop",t.id),fe(this,Xe)[t.id]=!1)}};R2=new WeakMap,W2=new WeakMap,D2=new WeakMap,Ft=new WeakMap,Xe=new WeakMap;0&&(module.exports={Env,Human,defaults,draw,empty,env,match,models});