human/dist/human.esm-nobundle.js

840 lines
288 KiB
JavaScript

/*
Human
homepage: <https://github.com/vladmandic/human>
author: <https://github.com/vladmandic>'
*/
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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 zo=`
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];
}
`,jo=`
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;
}
`,So=`
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);
}
`,Wo=`
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;
}
`,Co=`
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;
}
`;var Dt=(e,t,o)=>{let n=new RegExp("\\b"+t+" \\w+ (\\w+)","ig");e.replace(n,(A,s)=>(o[s]=0,A))},Xt=class{constructor(t,o,n){k(this,"uniform",{});k(this,"attribute",{});k(this,"gl");k(this,"id");k(this,"compile",(t,o)=>{let n=this.gl.createShader(o);return n?(this.gl.shaderSource(n,t),this.gl.compileShader(n),this.gl.getShaderParameter(n,this.gl.COMPILE_STATUS)?n:(h(`filter: gl compile failed: ${this.gl.getShaderInfoLog(n)}`),null)):(h("filter: could not create shader"),null)});this.gl=t;let A=this.compile(o,this.gl.VERTEX_SHADER),s=this.compile(n,this.gl.FRAGMENT_SHADER);if(this.id=this.gl.createProgram(),!(!A||!s)){if(!this.id){h("filter: could not create webgl program");return}if(this.gl.attachShader(this.id,A),this.gl.attachShader(this.id,s),this.gl.linkProgram(this.id),!this.gl.getProgramParameter(this.id,this.gl.LINK_STATUS)){h(`filter: gl link failed: ${this.gl.getProgramInfoLog(this.id)}`);return}this.gl.useProgram(this.id),Dt(o,"attribute",this.attribute);for(let a in 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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 Mn={initial:!0},x0={detector:null,landmarks:null},pe={detector:[224,224],landmarks:[256,256]},f5=Number.MAX_SAFE_INTEGER,Ur={landmarks:["ld_3d","activation_segmentation","activation_heatmap","world_3d","output_poseflag"],detector:[]},ft=null,Xe,D0=[[0,0],[0,0],[0,0],[0,0]],bn=0,gn=e=>1-1/(1+Math.exp(e));async function Pn(e){if(Mn.initial&&(x0.detector=null),!x0.detector&&e.body.detector&&e.body.detector.modelPath){x0.detector=await L(e.body.detector.modelPath);let t=Object.values(x0.detector.modelSignature.inputs);pe.detector[0]=Array.isArray(t)?parseInt(t[0].tensorShape.dim[1].size):0,pe.detector[1]=Array.isArray(t)?parseInt(t[0].tensorShape.dim[2].size):0}else e.debug&&x0.detector&&h("cached model:",x0.detector.modelUrl);return await un(),x0.detector}async function vn(e){if(Mn.initial&&(x0.landmarks=null),x0.landmarks)e.debug&&h("cached model:",x0.landmarks.modelUrl);else{x0.landmarks=await L(e.body.modelPath);let t=Object.values(x0.landmarks.modelSignature.inputs);pe.landmarks[0]=Array.isArray(t)?parseInt(t[0].tensorShape.dim[1].size):0,pe.landmarks[1]=Array.isArray(t)?parseInt(t[0].tensorShape.dim[2].size):0}return x0.landmarks}async function Jr(e,t){let o={};if(!e.shape||!e.shape[1]||!e.shape[2])return e;let n;if(Xe&&(o.cropped=r.image.cropAndResize(e,[Xe],[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];D0=[[0,0],A,s,[0,0]],o.pad=r.pad(o.cropped||e,D0),o.resize=r.image.resizeBilinear(o.pad,[t,t]),n=r.div(o.resize,N.tf255)}else e.shape[1]!==t?(o.resize=r.image.resizeBilinear(o.cropped||e,[t,t]),n=r.div(o.resize,N.tf255)):n=r.div(o.cropped||e,N.tf255);return Object.keys(o).forEach(A=>r.dispose(o[A])),n}function Yr(e,t){for(let o of e)o.position=[Math.trunc(o.position[0]*(t[0]+D0[2][0]+D0[2][1])/t[0]-D0[2][0]),Math.trunc(o.position[1]*(t[1]+D0[1][0]+D0[1][1])/t[1]-D0[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(Xe)for(let o of e)o.positionRaw=[o.positionRaw[0]+Xe[1],o.positionRaw[1]+Xe[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 Kr(e){let t=e.find(i=>i.part==="leftPalm"),o=e.find(i=>i.part==="leftWrist"),n=e.find(i=>i.part==="leftIndex");t.position[2]=((o.position[2]||0)+(n.position[2]||0))/2;let A=e.find(i=>i.part==="rightPalm"),s=e.find(i=>i.part==="rightWrist"),a=e.find(i=>i.part==="rightIndex");A.position[2]=((s.position[2]||0)+(a.position[2]||0))/2}async function Qr(e,t,o){var b;let n={};[n.ld,n.segmentation,n.heatmap,n.world,n.poseflag]=(b=x0.landmarks)==null?void 0:b.execute(e,Ur.landmarks);let A=(await n.poseflag.data())[0],s=await n.ld.data(),a=await n.world.data();Object.keys(n).forEach(m=>r.dispose(n[m]));let i=[],x=5;for(let m=0;m<s.length/x;m++){let v=gn(s[x*m+3]),M=gn(s[x*m+4]),u=Math.trunc(100*v*M*A)/100,p=[s[x*m+0]/pe.landmarks[0],s[x*m+1]/pe.landmarks[1],s[x*m+2]+0],P=[Math.trunc(o[0]*p[0]),Math.trunc(o[1]*p[1]),p[2]],w=[a[x*m+0],a[x*m+1],a[x*m+2]+0];i.push({part:c5[m],positionRaw:p,position:P,distance:w,score:u})}if(A<(t.body.minConfidence||0))return null;Kr(i);let d=Yr(i,o),l=d.map(m=>m.position),y=N0(l,[o[0],o[1]]),c={};for(let[m,v]of Object.entries(d5)){let M=[];for(let u=0;u<v.length-1;u++){let p=d.find(w=>w.part===v[u]),P=d.find(w=>w.part===v[u+1]);p&&P&&M.push([p.position,P.position])}c[m]=M}return{id:0,score:Math.trunc(100*A)/100,box:y.box,boxRaw:y.boxRaw,keypoints:d,annotations:c}}async function m5(e,t){let o=[e.shape[2]||0,e.shape[1]||0],n=(t.body.skipTime||0)>g()-bn,A=f5<(t.body.skipFrames||0);if(t.skipAllowed&&n&&A&&ft!==null)f5++;else{let s={};s.landmarks=await Jr(e,256),ft=await Qr(s.landmarks,t,o),Object.keys(s).forEach(a=>r.dispose(s[a])),bn=g(),f5=0}return ft?[ft]:[]}var ue=[{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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i=i0.keypoints.map(c=>c.position[0]),x=i0.keypoints.map(c=>c.position[1]);i0.box=[Math.min(...i),Math.min(...x),Math.max(...i)-Math.min(...i),Math.max(...x)-Math.min(...x)];let d=i0.keypoints.map(c=>c.positionRaw[0]),l=i0.keypoints.map(c=>c.positionRaw[1]);i0.boxRaw=[Math.min(...d),Math.min(...l),Math.max(...d)-Math.min(...d),Math.max(...l)-Math.min(...l)];for(let[c,f]of Object.entries(g5)){let b=[];for(let m=0;m<f.length-1;m++){let v=i0.keypoints.find(u=>u.part===f[m]),M=i0.keypoints.find(u=>u.part===f[m+1]);v&&M&&v.score>(t.body.minConfidence||0)&&M.score>(t.body.minConfidence||0)&&b.push([v.position,M.position])}i0.annotations[c]=b}A([i0])}))}var e2=["angry","disgust","fear","happy","sad","surprise","neutral"],u0,pt=[],Sn=0,Wn=0,v5=Number.MAX_SAFE_INTEGER;async function Cn(e){var t;return R.initial&&(u0=null),u0?e.debug&&h("cached model:",u0.modelUrl):u0=await L((t=e.face.emotion)==null?void 0:t.modelPath),u0}async function T5(e,t,o,n){var a,i;if(!u0)return[];let 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q0={eyeLLower:[33,7,163,144,145,153,154,155,133],eyeRLower:[263,249,390,373,374,380,381,382,362],lips:[61,76,91,181,84,17,314,405,321,291,291,185,40,39,37,0,267,269,270,291,62,183,88,178,87,14,268,303,304,408,291,184,42,178,87,14,268,303,304,408,61,62,90,180,85,16,315,404,307,308,291,185,40,73,72,0,302,269,270,409,61,184,95,179,86,15,316,403,324,408,291,184,74,41,38,11,268,303,304,408],eyeL:[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],eyeR:[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 qn(e,t){let 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M=0;M<E0.boxes.length;M++){let u=E0.boxes[M],p=0,P,w={id:a++,mesh:[],meshRaw:[],box:[0,0,0,0],boxRaw:[0,0,0,0],score:0,boxScore:0,faceScore:0,annotations:{}};if([p,P,w.tensor]=ln((d=t.face.detector)==null?void 0:d.rotation,u,e,(l=t.face.mesh)!=null&&l.enabled?ge:lt()),(y=t==null?void 0:t.filter)!=null&&y.equalization){let S=await et(w.tensor);r.dispose(w.tensor),w.tensor=S}if(w.boxScore=Math.round(100*u.confidence)/100,(c=t.face.mesh)!=null&&c.enabled)if(!z0)t.debug&&h("face mesh detection requested, but model is not loaded");else{let S=z0.execute(w.tensor),O=S.find(G=>G.shape[G.shape.length-1]===1),W=S.find(G=>G.shape[G.shape.length-1]===1404),I=await O.data();w.faceScore=Math.round(100*I[0])/100;let V=r.reshape(W,[-1,3]),B=await V.array();if(w.faceScore<(((f=t.face.detector)==null?void 0:f.minConfidence)||1))u.confidence=w.faceScore;else{(b=t.face.attention)!=null&&b.enabled?B=await qn(B,S):(m=t.face.iris)!=null&&m.enabled&&(B=await 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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 r.image.cropAndResize(t,s,[0],o)}function nA(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]],A=e.palmLandmarks.map(s=>[s[0]*t[0],s[1]*t[1]]);return{startPoint:o,endPoint:n,palmLandmarks:A,confidence:e.confidence}}function gt(e,t=1.5){let o=qe(e),n=bt(e),A=[t*n[0]/2,t*n[1]/2],s=[o[0]-A[0],o[1]-A[1]],a=[o[0]+A[0],o[1]+A[1]];return{startPoint:s,endPoint:a,palmLandmarks:e.palmLandmarks}}function Mt(e){let t=qe(e),o=bt(e),A=Math.max(...o)/2,s=[t[0]-A,t[1]-A],a=[t[0]+A,t[1]+A];return{startPoint:s,endPoint:a,palmLandmarks:e.palmLandmarks}}function A2(e){return e-2*Math.PI*Math.floor((e+Math.PI)/(2*Math.PI))}function AA(e,t){let o=Math.PI/2-Math.atan2(-(t[1]-e[1]),t[0]-e[0]);return A2(o)}var eA=(e,t)=>[[1,0,e],[0,1,t],[0,0,1]];function U0(e,t){let o=0;for(let n=0;n<e.length;n++)o+=e[n]*t[n];return o}function r2(e,t){let o=[];for(let n=0;n<e.length;n++)o.push(e[n][t]);return o}function tA(e,t){let o=[],n=e.length;for(let A=0;A<n;A++){o.push([]);for(let s=0;s<n;s++)o[A].push(U0(e[A],r2(t,s)))}return o}function O5(e,t){let o=Math.cos(e),n=Math.sin(e),A=[[o,-n,0],[n,o,0],[0,0,1]],s=eA(t[0],t[1]),a=tA(s,A),i=eA(-t[0],-t[1]);return tA(a,i)}function rA(e){let t=[[e[0][0],e[1][0]],[e[0][1],e[1][1]]],o=[e[0][2],e[1][2]],n=[-U0(t[0],o),-U0(t[1],o)];return[t[0].concat(n[0]),t[1].concat(n[1]),[0,0,1]]}function I5(e,t){return[U0(e,t[0]),U0(e,t[1])]}var 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Object.keys(o).forEach(A=>r.dispose(o[A])),n}normalizeLandmarks(t,o){let n={};n.reshape=r.reshape(t,[-1,7,2]),n.div=r.div(n.reshape,this.inputSizeTensor),n.landmarks=r.add(n.div,this.anchors[o]);let A=r.mul(n.landmarks,this.inputSizeTensor);return Object.keys(n).forEach(s=>r.dispose(n[s])),A}async predict(t,o){let n={};n.resize=r.image.resizeBilinear(t,[this.inputSize,this.inputSize]),n.div=r.div(n.resize,N.tf127),n.image=r.sub(n.div,N.tf1),n.batched=this.model.execute(n.image),n.predictions=r.squeeze(n.batched),n.slice=r.slice(n.predictions,[0,0],[-1,1]),n.sigmoid=r.sigmoid(n.slice),n.scores=r.squeeze(n.sigmoid);let A=await n.scores.data();n.boxes=r.slice(n.predictions,[0,1],[-1,4]),n.norm=this.normalizeBoxes(n.boxes),n.nms=await r.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 x={};x.box=r.slice(n.norm,[i,0],[1,-1]),x.slice=r.slice(n.predictions,[i,5],[1,14]),x.norm=this.normalizeLandmarks(x.slice,i),x.palmLandmarks=r.reshape(x.norm,[-1,2]);let d=await x.box.data(),l=d.slice(0,2),y=d.slice(2,4),c=await x.palmLandmarks.array(),f={startPoint:l,endPoint:y,palmLandmarks:c,confidence:A[i]},b=nA(f,[t.shape[2]/this.inputSize,t.shape[1]/this.inputSize]);a.push(b),Object.keys(x).forEach(m=>r.dispose(x[m]))}return Object.keys(n).forEach(i=>r.dispose(n[i])),a}};var i2=5,iA=1.65,lA=[0,5,9,13,17,1,2],l2=0,y2=2,yA=0,vt=class{constructor(t,o){k(this,"handDetector");k(this,"handPoseModel");k(this,"inputSize");k(this,"storedBoxes");k(this,"skipped");k(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]),A=[Math.min(...o),Math.min(...n)],s=[Math.max(...o),Math.max(...n)];return{startPoint:A,endPoint:s}}getBoxForPalmLandmarks(t,o){let n=t.map(s=>I5([...s,1],o)),A=this.calculateLandmarksBoundingBox(n);return gt(Mt(A),i2)}getBoxForHandLandmarks(t){let o=this.calculateLandmarksBoundingBox(t),n=gt(Mt(o),iA);n.palmLandmarks=[];for(let A=0;A<lA.length;A++)n.palmLandmarks.push(t[lA[A]].slice(0,2));return n}transformRawCoords(t,o,n,A){let s=bt(o),a=[s[0]/this.inputSize,s[1]/this.inputSize,(s[0]+s[1])/this.inputSize/2],i=t.map(f=>[a[0]*(f[0]-this.inputSize/2),a[1]*(f[1]-this.inputSize/2),a[2]*f[2]]),x=O5(n,[0,0]),d=i.map(f=>[...I5(f,x),f[2]]),l=rA(A),y=[...qe(o),1],c=[U0(y,l[0]),U0(y,l[1])];return d.map(f=>[Math.trunc(f[0]+c[0]),Math.trunc(f[1]+c[1]),Math.trunc(f[2])])}async estimateHands(t,o){let n=!1,A,s=(o.hand.skipTime||0)>g()-yA,a=this.skipped<(o.hand.skipFrames||0);o.skipAllowed&&s&&a&&(A=await 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i=o[A].box?[Math.trunc(Math.max(0,o[A].box.topLeft[0])),Math.trunc(Math.max(0,o[A].box.topLeft[1])),Math.trunc(Math.min(e.shape[2]||0,o[A].box.bottomRight[0])-Math.max(0,o[A].box.topLeft[0])),Math.trunc(Math.min(e.shape[1]||0,o[A].box.bottomRight[1])-Math.max(0,o[A].box.topLeft[1]))]:[0,0,0,0],x=[o[A].box.topLeft[0]/(e.shape[2]||0),o[A].box.topLeft[1]/(e.shape[1]||0),(o[A].box.bottomRight[0]-o[A].box.topLeft[0])/(e.shape[2]||0),(o[A].box.bottomRight[1]-o[A].box.topLeft[1])/(e.shape[1]||0)];let d=Tt(a);n.push({id:A,score:Math.round(100*o[A].confidence)/100,boxScore:Math.round(100*o[A].boxConfidence)/100,fingerScore:Math.round(100*o[A].fingerConfidence)/100,label:"hand",box:i,boxRaw:x,keypoints:a,annotations:s,landmarks:d})}return n}async function G5(e){var o,n;R.initial&&(Te=null,Re=null),!Te||!Re?[Te,Re]=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&&h("cached 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i=r.unstack(n.scores,1);r.dispose(i[PA]),i.splice(PA,1),n.filtered=r.stack(i,1),r.dispose(i),n.max=r.max(n.filtered,1),n.argmax=r.argMax(n.filtered,1);let x=0;n.nms=await r.image.nonMaxSuppressionAsync(n.boxes,n.max,(t.hand.maxDetected||0)+1,t.hand.iouThreshold||0,t.hand.minConfidence||1);let d=await n.nms.data(),l=await n.max.data(),y=await n.argmax.data();for(let c of Array.from(d)){let f=r.slice(n.boxes,c,1),b=await f.data();r.dispose(f);let m=[b[1],b[0],b[3]-b[1],b[2]-b[0]],v=ct(m,P2),M=[Math.trunc(m[0]*V0[0]),Math.trunc(m[1]*V0[1]),Math.trunc(m[2]*V0[0]),Math.trunc(m[3]*V0[1])],u=l[c],p=g2[y[c]],P={id:x++,score:u,box:M,boxRaw:v,label:p};o.push(P)}return Object.keys(n).forEach(c=>r.dispose(n[c])),o.sort((c,f)=>f.score-c.score),o.length>(t.hand.maxDetected||1)&&(o.length=t.hand.maxDetected||1),o}async function H5(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&&t0[1]&&o.hand.landmarks&&t.score>(o.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=r.image.cropAndResize(e,[s],[0],[$0[1][0],$0[1][1]],"bilinear"),A.div=r.div(A.crop,N.tf255),[A.score,A.keypoints]=t0[1].execute(A.div,["Identity_1","Identity"]);let a=(await A.score.data())[0],i=(100-Math.trunc(100/(1+Math.exp(a))))/100;if(i>=(o.hand.minConfidence||0)){n.fingerScore=i,A.reshaped=r.reshape(A.keypoints,[-1,3]);let l=(await A.reshaped.array()).map(y=>[y[0]/$0[1][1],y[1]/$0[1][0],y[2]||0]).map(y=>[y[0]*t.boxRaw[2],y[1]*t.boxRaw[3],y[2]||0]);n.keypoints=l.map(y=>[V0[0]*(y[0]+t.boxRaw[0]),V0[1]*(y[1]+t.boxRaw[1]),y[2]||0]),n.landmarks=Tt(n.keypoints);for(let y of Object.keys(TA))n.annotations[y]=TA[y].map(c=>n.landmarks&&n.keypoints[c]?n.keypoints[c]:null)}Object.keys(A).forEach(x=>r.dispose(A[x]))}return n}async function V5(e,t){var A,s;if(!t0[0]||!t0[1]||!((A=t0[0])!=null&&A.inputs[0].shape)||!((s=t0[1])!=null&&s.inputs[0].shape))return[];V0=[e.shape[2]||0,e.shape[1]||0],Rt++;let o=(t.hand.skipTime||0)>g()-F5,n=Rt<(t.hand.skipFrames||0);return t.skipAllowed&&o&&n?K.hands:new Promise(async a=>{let i=3*(t.hand.skipTime||0)>g()-F5,x=Rt<3*(t.hand.skipFrames||0);t.skipAllowed&&K.hands.length===t.hand.maxDetected?K.hands=await Promise.all(K.boxes.map(l=>H5(e,l,t))):t.skipAllowed&&i&&x&&K.hands.length>0?K.hands=await Promise.all(K.boxes.map(l=>H5(e,l,t))):(K.boxes=await v2(e,t),F5=g(),K.hands=await Promise.all(K.boxes.map(l=>H5(e,l,t))),Rt=0);let d=[...K.boxes];if(K.boxes.length=0,t.cacheSensitivity>0)for(let l=0;l<K.hands.length;l++){let y=hn(K.hands[l].keypoints,V0);if(y.box[2]/(e.shape[2]||1)>.05&&y.box[3]/(e.shape[1]||1)>.05&&K.hands[l].fingerScore&&K.hands[l].fingerScore>(t.hand.minConfidence||0)){let c=ct(y.box,vA),f=ct(y.boxRaw,vA);K.boxes.push({...d[l],box:c,boxRaw:f})}}for(let l=0;l<K.hands.length;l++){let y=N0(K.hands[l].keypoints,V0);K.hands[l].box=y.box,K.hands[l].boxRaw=y.boxRaw}a(K.hands)})}var s0,kt=[],Z5=Number.MAX_SAFE_INTEGER,EA=0,zA=0;async function jA(e){var t;return R.initial&&(s0=null),s0?e.debug&&h("cached model:",s0.modelUrl):s0=await L((t=e.face.liveness)==null?void 0:t.modelPath),s0}async function D5(e,t,o,n){var a,i;if(!s0)return 0;let A=(((a=t.face.liveness)==null?void 0:a.skipTime)||0)>g()-zA,s=Z5<(((i=t.face.liveness)==null?void 0:i.skipFrames)||0);return t.skipAllowed&&A&&s&&EA===n&&kt[o]?(Z5++,kt[o]):(Z5=0,new Promise(async x=>{let d=r.image.resizeBilinear(e,[s0!=null&&s0.inputs[0].shape?s0.inputs[0].shape[2]:0,s0!=null&&s0.inputs[0].shape?s0.inputs[0].shape[1]:0],!1),l=s0==null?void 0:s0.execute(d),y=(await l.data())[0];kt[o]=Math.round(100*y)/100,EA=n,zA=g(),r.dispose([d,l]),x(kt[o])}))}var Ue={};ee(Ue,{connected:()=>zt,horizontal:()=>X5,kpt:()=>Et,relative:()=>U5,vertical:()=>q5});var Et=["nose","leftEye","rightEye","leftEar","rightEar","leftShoulder","rightShoulder","leftElbow","rightElbow","leftWrist","rightWrist","leftHip","rightHip","leftKnee","rightKnee","leftAnkle","rightAnkle"],X5=[["leftEye","rightEye"],["leftEar","rightEar"],["leftShoulder","rightShoulder"],["leftElbow","rightElbow"],["leftWrist","rightWrist"],["leftHip","rightHip"],["leftKnee","rightKnee"],["leftAnkle","rightAnkle"]],q5=[["leftKnee","leftShoulder"],["rightKnee","rightShoulder"],["leftAnkle","leftKnee"],["rightAnkle","rightKnee"]],U5=[[["leftHip","rightHip"],["leftShoulder","rightShoulder"]],[["leftElbow","rightElbow"],["leftShoulder","rightShoulder"]]],zt={leftLeg:["leftHip","leftKnee","leftAnkle"],rightLeg:["rightHip","rightKnee","rightAnkle"],torso:["leftShoulder","rightShoulder","rightHip","leftHip","leftShoulder"],leftArm:["leftShoulder","leftElbow","leftWrist"],rightArm:["rightShoulder","rightElbow","rightWrist"],head:[]};var WA=.005,f0={keypoints:[],padding:[[0,0],[0,0],[0,0],[0,0]]};function J5(e){for(let t of X5){let o=e.keypoints.findIndex(A=>A.part===t[0]),n=e.keypoints.findIndex(A=>A.part===t[1]);if(e.keypoints[o]&&e.keypoints[n]&&e.keypoints[o].position[0]<e.keypoints[n].position[0]){let A=e.keypoints[o];e.keypoints[o]=e.keypoints[n],e.keypoints[n]=A}}for(let t of q5){let o=e.keypoints.findIndex(A=>A&&A.part===t[0]),n=e.keypoints.findIndex(A=>A&&A.part===t[1]);e.keypoints[o]&&e.keypoints[n]&&e.keypoints[o].position[1]<e.keypoints[n].position[1]&&e.keypoints.splice(o,1)}for(let[t,o]of U5){let n=e.keypoints.findIndex(d=>d&&d.part===t[0]),A=e.keypoints.findIndex(d=>d&&d.part===t[1]),s=e.keypoints.findIndex(d=>d&&d.part===o[0]),a=e.keypoints.findIndex(d=>d&&d.part===o[1]);if(!e.keypoints[s]||!e.keypoints[a])continue;let i=e.keypoints[n]?[Math.abs(e.keypoints[s].position[0]-e.keypoints[n].position[0]),Math.abs(e.keypoints[a].position[0]-e.keypoints[n].position[0])]:[0,0],x=e.keypoints[A]?[Math.abs(e.keypoints[a].position[0]-e.keypoints[A].position[0]),Math.abs(e.keypoints[s].position[0]-e.keypoints[A].position[0])]:[0,0];if(i[0]>i[1]||x[0]>x[1]){let d=e.keypoints[n];e.keypoints[n]=e.keypoints[A],e.keypoints[A]=d}}}function CA(e){for(let t=0;t<e.length;t++)if(e[t]&&f0.keypoints[t]){let o=[Math.abs(e[t].positionRaw[0]-f0.keypoints[t].positionRaw[0]),Math.abs(e[t].positionRaw[1]-f0.keypoints[t].positionRaw[1])];o[0]<WA&&o[1]<WA?e[t]=f0.keypoints[t]:f0.keypoints[t]=e[t]}else f0.keypoints[t]=e[t];return e}function OA(e,t){let o={};if(!e.shape||!e.shape[1]||!e.shape[2])return e;f0.padding=[[0,0],[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],[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=r.pad(e,f0.padding),o.resize=r.image.resizeBilinear(o.pad,[t,t]);let n=r.cast(o.resize,"int32");return Object.keys(o).forEach(A=>r.dispose(o[A])),n}function IA(e,t){e.keypoints=e.keypoints.filter(n=>n&&n.position);for(let n of e.keypoints)n.position=[n.position[0]*(t[0]+f0.padding[2][0]+f0.padding[2][1])/t[0]-f0.padding[2][0],n.position[1]*(t[1]+f0.padding[1][0]+f0.padding[1][1])/t[1]-f0.padding[1][0]],n.positionRaw=[n.position[0]/t[0],n.position[1]/t[1]];let o=N0(e.keypoints.map(n=>n.position),t);return e.box=o.box,e.boxRaw=o.boxRaw,e}var m0,jt=0,Y5=Number.MAX_SAFE_INTEGER,ie={boxes:[],bodies:[],last:0};async function LA(e){return R.initial&&(m0=null),m0?e.debug&&h("cached model:",m0.modelUrl):(wt(["size"],e),m0=await L(e.body.modelPath)),jt=m0.inputs[0].shape?m0.inputs[0].shape[2]:0,jt<64&&(jt=256),m0}async function R2(e,t,o){let n=e[0][0],A=[],s=0;for(let l=0;l<n.length;l++)if(s=n[l][2],s>t.body.minConfidence){let y=[n[l][1],n[l][0]];A.push({score:Math.round(100*s)/100,part:Et[l],positionRaw:y,position:[Math.round((o.shape[2]||0)*y[0]),Math.round((o.shape[1]||0)*y[1])]})}s=A.reduce((l,y)=>y.score>l?y.score:l,0);let a=[],i=N0(A.map(l=>l.position),[o.shape[2],o.shape[1]]),x={};for(let[l,y]of Object.entries(zt)){let c=[];for(let f=0;f<y.length-1;f++){let b=A.find(v=>v.part===y[f]),m=A.find(v=>v.part===y[f+1]);b&&m&&b.score>(t.body.minConfidence||0)&&m.score>(t.body.minConfidence||0)&&c.push([b.position,m.position])}x[l]=c}let d={id:0,score:s,box:i.box,boxRaw:i.boxRaw,keypoints:A,annotations:x};return J5(d),a.push(d),a}async function w2(e,t,o){let n=[];for(let A=0;A<e[0].length;A++){let s=e[0][A],a=Math.round(100*s[51+4])/100;if(a>t.body.minConfidence){let i=[];for(let y=0;y<17;y++){let c=s[3*y+2];if(c>t.body.minConfidence){let f=[s[3*y+1],s[3*y+0]];i.push({part:Et[y],score:Math.round(100*c)/100,positionRaw:f,position:[Math.round((o.shape[2]||0)*f[0]),Math.round((o.shape[1]||0)*f[1])]})}}let x=N0(i.map(y=>y.position),[o.shape[2],o.shape[1]]),d={};for(let[y,c]of Object.entries(zt)){let f=[];for(let b=0;b<c.length-1;b++){let m=i.find(M=>M.part===c[b]),v=i.find(M=>M.part===c[b+1]);m&&v&&m.score>(t.body.minConfidence||0)&&v.score>(t.body.minConfidence||0)&&f.push([m.position,v.position])}d[y]=f}let l={id:A,score:a,box:x.box,boxRaw:x.boxRaw,keypoints:[...i],annotations:d};J5(l),n.push(l)}}return n.sort((A,s)=>s.score-A.score),n.length>t.body.maxDetected&&(n.length=t.body.maxDetected),n}async function K5(e,t){if(!m0||!(m0!=null&&m0.inputs[0].shape))return[];t.skipAllowed||(ie.boxes.length=0),Y5++;let o=(t.body.skipTime||0)>g()-ie.last,n=Y5<(t.body.skipFrames||0);return t.skipAllowed&&o&&n?ie.bodies:new Promise(async A=>{let s={};Y5=0,s.input=OA(e,jt),s.res=m0==null?void 0:m0.execute(s.input),ie.last=g();let a=await s.res.array();ie.bodies=s.res.shape[2]===17?await R2(a,t,e):await w2(a,t,e);for(let i of ie.bodies)IA(i,[e.shape[2]||1,e.shape[1]||1]),CA(i.keypoints);Object.keys(s).forEach(i=>r.dispose(s[i])),A(ie.bodies)})}var we,St=[],BA=0,Q5=Number.MAX_SAFE_INTEGER,Ct=0,Wt=2.5;async function GA(e){if(!we||R.initial){we=await L(e.object.modelPath);let t=Object.values(we.modelSignature.inputs);Ct=Array.isArray(t)?parseInt(t[0].tensorShape.dim[2].size):0}else e.debug&&h("cached model:",we.modelUrl);return we}async function k2(e,t,o){let n=0,A=[];for(let x of[1,2,4])r.tidy(async()=>{let d=x*13,l=r.squeeze(e.find(m=>m.shape[1]===d**2&&(m.shape[2]||0)===ue.length)),y=r.squeeze(e.find(m=>m.shape[1]===d**2&&(m.shape[2]||0)<ue.length)),f=await y.reshape([-1,4,y.shape[1]/4]).argMax(2).array(),b=await l.array();for(let m=0;m<l.shape[0];m++)for(let v=0;v<l.shape[1];v++){let M=b[m][v];if(M>(o.object.minConfidence||0)&&v!==61){let u=(.5+Math.trunc(m%d))/d,p=(.5+Math.trunc(m/d))/d,P=f[m].map(G=>G*(d/x/Ct)),[w,S]=[u-Wt/x*P[0],p-Wt/x*P[1]],[O,W]=[u+Wt/x*P[2]-w,p+Wt/x*P[3]-S],I=[w,S,O,W];I=I.map(G=>Math.max(0,Math.min(G,1)));let V=[I[0]*t[0],I[1]*t[1],I[2]*t[0],I[3]*t[1]],B={id:n++,score:Math.round(100*M)/100,class:v+1,label:ue[v].label,box:V.map(G=>Math.trunc(G)),boxRaw:I};A.push(B)}}});e.forEach(x=>r.dispose(x));let s=A.map(x=>[x.boxRaw[1],x.boxRaw[0],x.boxRaw[3],x.boxRaw[2]]),a=A.map(x=>x.score),i=[];if(s&&s.length>0){let x=await r.image.nonMaxSuppressionAsync(s,a,o.object.maxDetected,o.object.iouThreshold,o.object.minConfidence);i=await x.data(),r.dispose(x)}return A=A.filter((x,d)=>i.includes(d)).sort((x,d)=>d.score-x.score),A}async function _5(e,t){let o=(t.object.skipTime||0)>g()-BA,n=Q5<(t.object.skipFrames||0);return t.skipAllowed&&o&&n&&St.length>0?(Q5++,St):(Q5=0,!R.kernels.includes("mod")||!R.kernels.includes("sparsetodense")?St:new Promise(async A=>{let s=[e.shape[2]||0,e.shape[1]||0],a=r.image.resizeBilinear(e,[Ct,Ct],!1),i=r.div(a,N.tf255),x=i.transpose([0,3,1,2]);r.dispose(i),r.dispose(a);let d;t.object.enabled&&(d=we.execute(x)),BA=g(),r.dispose(x);let l=await k2(d,s,t);St=l,A(l)}))}var Ye=["nose","leftEye","rightEye","leftEar","rightEar","leftShoulder","rightShoulder","leftElbow","rightElbow","leftWrist","rightWrist","leftHip","rightHip","leftKnee","rightKnee","leftAnkle","rightAnkle"],E2=Ye.length,Je=Ye.reduce((e,t,o)=>(e[t]=o,e),{}),z2=[["leftHip","leftShoulder"],["leftElbow","leftShoulder"],["leftElbow","leftWrist"],["leftHip","leftKnee"],["leftKnee","leftAnkle"],["rightHip","rightShoulder"],["rightElbow","rightShoulder"],["rightElbow","rightWrist"],["rightHip","rightKnee"],["rightKnee","rightAnkle"],["leftShoulder","rightShoulder"],["leftHip","rightHip"]],qa=z2.map(([e,t])=>[Je[e],Je[t]]),HA=[["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 VA(e){let t=e.reduce(({maxX:o,maxY:n,minX:A,minY:s},{position:{x:a,y:i}})=>({maxX:Math.max(o,a),maxY:Math.max(n,i),minX:Math.min(A,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 ZA(e,[t,o],[n,A]){let s=t/n,a=o/A,i=(d,l)=>({id:l,score:d.score,boxRaw:[d.box[0]/A,d.box[1]/n,d.box[2]/A,d.box[3]/n],box:[Math.trunc(d.box[0]*a),Math.trunc(d.box[1]*s),Math.trunc(d.box[2]*a),Math.trunc(d.box[3]*s)],keypoints:d.keypoints.map(({score:y,part:c,position:f})=>({score:y,part:c,position:[Math.trunc(f.x*a),Math.trunc(f.y*s)],positionRaw:[f.x/n,f.y/n]})),annotations:{}});return e.map((d,l)=>i(d,l))}var Ot=class{constructor(t,o){k(this,"priorityQueue");k(this,"numberOfElements");k(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(o<this.numberOfElements&&this.less(o,o+1)&&o++,!this.less(t,o))break;this.exchange(t,o),t=o}}getValueAt(t){return this.getElementValue(this.priorityQueue[t])}less(t,o){return this.getValueAt(t)<this.getValueAt(o)}exchange(t,o){let n=this.priorityQueue[t];this.priorityQueue[t]=this.priorityQueue[o],this.priorityQueue[o]=n}};function 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SSRNet:"),e.config.async?(n=(S=e.config.face.ssrnet)!=null&&S.enabled?_t(c[E].tensor||r.tensor([]),e.config,E,c.length):null,s=(O=e.config.face.ssrnet)!=null&&O.enabled?t5(c[E].tensor||r.tensor([]),e.config,E,c.length):null):(e.state="run:ssrnet",o=g(),n=(W=e.config.face.ssrnet)!=null&&W.enabled?await _t(c[E].tensor||r.tensor([]),e.config,E,c.length):null,s=(I=e.config.face.ssrnet)!=null&&I.enabled?await t5(c[E].tensor||r.tensor([]),e.config,E,c.length):null,e.performance.ssrnet=Math.trunc(g()-o)),e.analyze("End SSRNet:"),e.analyze("Start MobileFaceNet:"),e.config.async?i=(V=e.config.face.mobilefacenet)!=null&&V.enabled?w5(c[E].tensor||r.tensor([]),e.config,E,c.length):null:(e.state="run:mobilefacenet",o=g(),i=(B=e.config.face.mobilefacenet)!=null&&B.enabled?await w5(c[E].tensor||r.tensor([]),e.config,E,c.length):null,e.performance.mobilefacenet=Math.trunc(g()-o)),e.analyze("End MobileFaceNet:"),e.analyze("Start Description:"),e.config.async?l=(G=e.config.face.description)!=null&&G.enabled?W5(c[E].tensor||r.tensor([]),e.config,E,c.length):null:(e.state="run:description",o=g(),l=(J=e.config.face.description)!=null&&J.enabled?await W5(c[E].tensor||r.tensor([]),e.config,E,c.length):null,e.performance.description=R.perfadd?(e.performance.description||0)+Math.trunc(g()-o):Math.trunc(g()-o)),e.analyze("End Description:"),e.config.async&&([n,s,a,i,l,A,x,d]=await Promise.all([n,s,a,i,l,A,x,d])),e.analyze("Finish Face:"),((z=e.config.face.ssrnet)==null?void 0:z.enabled)&&n&&s&&(l={...l,age:n.age,gender:s.gender,genderScore:s.genderScore}),((P0=e.config.face.gear)==null?void 0:P0.enabled)&&A&&(l={...l,age:A.age,gender:A.gender,genderScore:A.genderScore,race:A.race}),((p0=e.config.face.mobilefacenet)==null?void 0:p0.enabled)&&i&&(l.descriptor=i),(T=e.config.face.iris)!=null&&T.enabled;let Q=c[E].annotations&&c[E].annotations.leftEyeIris&&c[E].annotations.leftEyeIris[0]&&c[E].annotations.rightEyeIris&&c[E].annotations.rightEyeIris[0]&&c[E].annotations.leftEyeIris.length>0&&c[E].annotations.rightEyeIris.length>0&&c[E].annotations.leftEyeIris[0]!==null&&c[E].annotations.rightEyeIris[0]!==null?Math.max(Math.abs(c[E].annotations.leftEyeIris[3][0]-c[E].annotations.leftEyeIris[1][0]),Math.abs(c[E].annotations.rightEyeIris[4][1]-c[E].annotations.rightEyeIris[2][1]))/t.shape[2]:0,o0=(e0=e.config.face.detector)!=null&&e0.return?r.squeeze(c[E].tensor):null;r.dispose(c[E].tensor),c[E].tensor&&delete c[E].tensor;let C={...c[E],id:E};l!=null&&l.age&&(C.age=l.age),l!=null&&l.gender&&(C.gender=l.gender),l!=null&&l.genderScore&&(C.genderScore=l==null?void 0:l.genderScore),l!=null&&l.descriptor&&(C.embedding=l==null?void 0:l.descriptor),l!=null&&l.race&&(C.race=l==null?void 0:l.race),a&&(C.emotion=a),x&&(C.real=x),d&&(C.live=d),Q&&Q!==0&&(C.iris=Math.trunc(500/Q/11.7)/100),Z&&(C.rotation=Z),o0&&(C.tensor=o0),y.push(C),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 nr=e=>{if(!e)return[];let t=[];for(let o=0;o<e.length;o++){let n=e[o].keypoints.find(x=>x.part==="leftWrist"),A=e[o].keypoints.find(x=>x.part==="rightWrist"),s=e[o].keypoints.find(x=>x.part==="nose");s&&n&&A&&n.position[1]<s.position[1]&&A.position[1]<s.position[1]?t.push({body:o,gesture:"i give up"}):s&&n&&n.position[1]<s.position[1]?t.push({body:o,gesture:"raise left hand"}):s&&A&&A.position[1]<s.position[1]&&t.push({body:o,gesture:"raise right hand"});let a=e[o].keypoints.find(x=>x.part==="leftShoulder"),i=e[o].keypoints.find(x=>x.part==="rightShoulder");a&&i&&Math.abs(a.positionRaw[1]-i.positionRaw[1])>.1&&t.push({body:o,gesture:`leaning ${a.position[1]>i.position[1]?"left":"right"}`})}return t},Ar=e=>{if(!e)return[];let t=[];for(let o=0;o<e.length;o++)if(e[o].mesh&&e[o].mesh.length>450){let n=(e[o].mesh[33][2]||0)-(e[o].mesh[263][2]||0),A=e[o].mesh[33][0]-e[o].mesh[263][0];Math.abs(n/A)<=.15?t.push({face:o,gesture:"facing center"}):t.push({face:o,gesture:`facing ${n<0?"left":"right"}`}),Math.abs(e[o].mesh[374][1]-e[o].mesh[386][1])/Math.abs(e[o].mesh[443][1]-e[o].mesh[450][1])<.2&&t.push({face:o,gesture:"blink left eye"}),Math.abs(e[o].mesh[145][1]-e[o].mesh[159][1])/Math.abs(e[o].mesh[223][1]-e[o].mesh[230][1])<.2&&t.push({face:o,gesture:"blink right eye"});let i=Math.min(100,500*Math.abs(e[o].mesh[13][1]-e[o].mesh[14][1])/Math.abs(e[o].mesh[10][1]-e[o].mesh[152][1]));i>10&&t.push({face:o,gesture:`mouth ${Math.trunc(i)}% open`});let x=e[o].mesh[152][2]||0;Math.abs(x)>10&&t.push({face:o,gesture:`head ${x<0?"up":"down"}`})}return t},rr=e=>{if(!e)return[];let t=[];for(let o=0;o<e.length;o++){if(!e[o].annotations||!e[o].annotations.leftEyeIris||!e[o].annotations.leftEyeIris[0]||!e[o].annotations.rightEyeIris||!e[o].annotations.rightEyeIris[0])continue;let n=e[o].annotations.leftEyeIris[3][0]-e[o].annotations.leftEyeIris[1][0],A=e[o].annotations.leftEyeIris[4][1]-e[o].annotations.leftEyeIris[2][1],s=Math.abs(n*A),a=e[o].annotations.rightEyeIris[3][0]-e[o].annotations.rightEyeIris[1][0],i=e[o].annotations.rightEyeIris[4][1]-e[o].annotations.rightEyeIris[2][1],x=Math.abs(a*i),d=!1;Math.abs(s-x)/Math.max(s,x)<.25&&(d=!0,t.push({iris:o,gesture:"facing center"}));let y=Math.abs(e[o].mesh[263][0]-e[o].annotations.leftEyeIris[0][0])/e[o].box[2],c=Math.abs(e[o].mesh[33][0]-e[o].annotations.rightEyeIris[0][0])/e[o].box[2];(y>.06||c>.06)&&(d=!1),y>c?y>.05&&t.push({iris:o,gesture:"looking right"}):c>.05&&t.push({iris:o,gesture:"looking left"});let f=Math.abs(e[o].mesh[145][1]-e[o].annotations.rightEyeIris[0][1])/e[o].box[3],b=Math.abs(e[o].mesh[374][1]-e[o].annotations.leftEyeIris[0][1])/e[o].box[3];(b<.01||f<.01||b>.022||f>.022)&&(d=!1),(b<.01||f<.01)&&t.push({iris:o,gesture:"looking down"}),(b>.022||f>.022)&&t.push({iris:o,gesture:"looking up"}),d&&t.push({iris:o,gesture:"looking center"})}return t},sr=e=>{if(!e)return[];let t=[];for(let o=0;o<e.length;o++){let n=[];if(e[o].annotations)for(let[A,s]of Object.entries(e[o].annotations))A!=="palmBase"&&Array.isArray(s)&&s[0]&&n.push({name:A.toLowerCase(),position:s[0]});if(n&&n.length>0){let A=n.reduce((a,i)=>(a.position[2]||0)<(i.position[2]||0)?a:i);t.push({hand:o,gesture:`${A.name} forward`});let s=n.reduce((a,i)=>a.position[1]<i.position[1]?a:i);t.push({hand:o,gesture:`${s.name} up`})}if(e[o].keypoints){let A=hA(e[o].keypoints);for(let s of A)t.push({hand:o,gesture:s.name})}}return t};var j={face:[],body:[],hand:[],gesture:[],object:[],persons:[],performance:{},timestamp:0,error:null},ho=0;function ar(e,t){var a,i,x,d,l,y,c,f,b,m,v,M,u,p,P,w,S,O,W,I,V,B,G,J,z,P0,p0;let o=g();if(!e)return{face:[],body:[],hand:[],gesture:[],object:[],persons:[],performance:{},timestamp:0,error:null};let n=Date.now()-e.timestamp,A=n<1e3?8-Math.log(n+1):1;if(e.canvas&&(j.canvas=e.canvas),e.error&&(j.error=e.error),!j.body||e.body.length!==j.body.length)j.body=JSON.parse(JSON.stringify(e.body));else for(let T=0;T<e.body.length;T++){let e0=e.body[T].box.map((C,H)=>((A-1)*j.body[T].box[H]+C)/A),E=e.body[T].boxRaw.map((C,H)=>((A-1)*j.body[T].boxRaw[H]+C)/A),Z=e.body[T].keypoints.map((C,H)=>{var 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0:Ie[0],j.body[T].keypoints[H]?((A-1)*(((Le=j.body[T].keypoints[H].distance)==null?void 0:Le[1])||0)+(((xe=C.distance)==null?void 0:xe[1])||0))/A:(Mo=C.distance)==null?void 0:Mo[1],j.body[T].keypoints[H]?((A-1)*(((Po=j.body[T].keypoints[H].distance)==null?void 0:Po[2])||0)+(((vo=C.distance)==null?void 0:vo[2])||0))/A:(To=C.distance)==null?void 0:To[2]]}}),Q={},o0={connected:{}};(i=(a=t.body)==null?void 0:a.modelPath)!=null&&i.includes("efficientpose")?o0=mt:(d=(x=t.body)==null?void 0:x.modelPath)!=null&&d.includes("blazepose")?o0=yt:(y=(l=t.body)==null?void 0:l.modelPath)!=null&&y.includes("movenet")&&(o0=Ue);for(let[C,H]of Object.entries(o0.connected)){let C0=[];for(let O0=0;O0<H.length-1;O0++){let Ie=Z.find(xe=>xe.part===H[O0]),Le=Z.find(xe=>xe.part===H[O0+1]);Ie&&Le&&C0.push([Ie.position,Le.position])}Q[C]=C0}j.body[T]={...e.body[T],box:e0,boxRaw:E,keypoints:Z,annotations:Q}}if(!j.hand||e.hand.length!==j.hand.length)j.hand=JSON.parse(JSON.stringify(e.hand));else for(let T=0;T<e.hand.length;T++){let e0=e.hand[T].box.map((o0,C)=>((A-1)*j.hand[T].box[C]+o0)/A),E=e.hand[T].boxRaw.map((o0,C)=>((A-1)*j.hand[T].boxRaw[C]+o0)/A);j.hand[T].keypoints.length!==e.hand[T].keypoints.length&&(j.hand[T].keypoints=e.hand[T].keypoints);let Z=e.hand[T].keypoints&&e.hand[T].keypoints.length>0?e.hand[T].keypoints.map((o0,C)=>o0.map((H,C0)=>((A-1)*(j.hand[T].keypoints[C][C0]||1)+(H||0))/A)):[],Q={};if(Object.keys(j.hand[T].annotations).length!==Object.keys(e.hand[T].annotations).length)j.hand[T].annotations=e.hand[T].annotations,Q=j.hand[T].annotations;else if(e.hand[T].annotations)for(let o0 of Object.keys(e.hand[T].annotations))Q[o0]=e.hand[T].annotations[o0]&&e.hand[T].annotations[o0][0]?e.hand[T].annotations[o0].map((C,H)=>C.map((C0,O0)=>((A-1)*j.hand[T].annotations[o0][H][O0]+C0)/A)):null;j.hand[T]={...e.hand[T],box:e0,boxRaw:E,keypoints:Z,annotations:Q}}if(!j.face||e.face.length!==j.face.length)j.face=JSON.parse(JSON.stringify(e.face));else for(let T=0;T<e.face.length;T++){let e0=e.face[T].box.map((Z,Q)=>((A-1)*j.face[T].box[Q]+Z)/A),E=e.face[T].boxRaw.map((Z,Q)=>((A-1)*j.face[T].boxRaw[Q]+Z)/A);if(e.face[T].rotation){let Z={matrix:[0,0,0,0,0,0,0,0,0],angle:{roll:0,yaw:0,pitch:0},gaze:{bearing:0,strength:0}};Z.matrix=(c=e.face[T].rotation)==null?void 0:c.matrix,Z.angle={roll:((A-1)*(((b=(f=j.face[T].rotation)==null?void 0:f.angle)==null?void 0:b.roll)||0)+(((v=(m=e.face[T].rotation)==null?void 0:m.angle)==null?void 0:v.roll)||0))/A,yaw:((A-1)*(((u=(M=j.face[T].rotation)==null?void 0:M.angle)==null?void 0:u.yaw)||0)+(((P=(p=e.face[T].rotation)==null?void 0:p.angle)==null?void 0:P.yaw)||0))/A,pitch:((A-1)*(((S=(w=j.face[T].rotation)==null?void 0:w.angle)==null?void 0:S.pitch)||0)+(((W=(O=e.face[T].rotation)==null?void 0:O.angle)==null?void 0:W.pitch)||0))/A},Z.gaze={bearing:((A-1)*(((V=(I=j.face[T].rotation)==null?void 0:I.gaze)==null?void 0:V.bearing)||0)+(((G=(B=e.face[T].rotation)==null?void 0:B.gaze)==null?void 0:G.bearing)||0))/A,strength:((A-1)*(((z=(J=j.face[T].rotation)==null?void 0:J.gaze)==null?void 0:z.strength)||0)+(((p0=(P0=e.face[T].rotation)==null?void 0:P0.gaze)==null?void 0:p0.strength)||0))/A},j.face[T]={...e.face[T],rotation:Z,box:e0,boxRaw:E}}j.face[T]={...e.face[T],box:e0,boxRaw:E}}if(!j.object||e.object.length!==j.object.length)j.object=JSON.parse(JSON.stringify(e.object));else for(let T=0;T<e.object.length;T++){let e0=e.object[T].box.map((Z,Q)=>((A-1)*j.object[T].box[Q]+Z)/A),E=e.object[T].boxRaw.map((Z,Q)=>((A-1)*j.object[T].boxRaw[Q]+Z)/A);j.object[T]={...e.object[T],box:e0,boxRaw:E}}if(e.persons){let T=e.persons;if(!j.persons||T.length!==j.persons.length)j.persons=JSON.parse(JSON.stringify(T));else for(let e0=0;e0<T.length;e0++)j.persons[e0].box=T[e0].box.map((E,Z)=>((A-1)*j.persons[e0].box[Z]+E)/A)}e.gesture&&(j.gesture=e.gesture);let s=g();return ho=R.perfadd?ho+Math.round(s-o):Math.round(s-o),e.performance&&(j.performance={...e.performance,interpolate:ho}),j}var lr={};ee(lr,{distance:()=>Qe,match:()=>go,similarity:()=>bo});function Qe(e,t,o={order:2,multiplier:25}){let n=0;for(let A=0;A<e.length;A++){let s=!o.order||o.order===2?e[A]-t[A]:Math.abs(e[A]-t[A]);n+=!o.order||o.order===2?s*s:s**o.order}return(o.multiplier||20)*n}var ir=(e,t,o,n)=>{if(e===0)return 1;let A=t===2?Math.sqrt(e):e**(1/t),s=(1-A/100-o)/(n-o);return Math.max(Math.min(s,1),0)};function bo(e,t,o={order:2,multiplier:25,min:.2,max:.8}){let n=Qe(e,t,o);return ir(n,o.order||2,o.min||0,o.max||1)}function go(e,t,o={order:2,multiplier:25,threshold:0,min:.2,max:.8}){if(!Array.isArray(e)||!Array.isArray(t)||e.length<64||t.length===0||e.length!==t[0].length)return{index:-1,distance:Number.POSITIVE_INFINITY,similarity:0};let n=Number.MAX_SAFE_INTEGER,A=-1;for(let a=0;a<t.length;a++){let i=Qe(e,t[a],o);if(i<n&&(n=i,A=a),n<(o.threshold||0))break}let s=ir(n,o.order||2,o.min||0,o.max||1);return{index:A,distance:n,similarity:s}}function yr(e,t,o,n,A){var i,x,d,l,y,c,f,b,m,v,M,u,p,P,w,S;let 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tensor"),this.emit("error"),n({face:[],body:[],hand:[],gesture:[],object:[],performance:this.performance,timestamp:g(),persons:[],error:"could not convert input to tensor"});return}this.emit("image"),A=g(),this.config.skipAllowed=await Io(this.config,i.tensor),this.performance.totalFrames||(this.performance.totalFrames=0),this.performance.cachedFrames||(this.performance.cachedFrames=0),this.performance.totalFrames++,this.config.skipAllowed&&this.performance.cachedFrames++,this.performance.cacheCheck=this.env.perfadd?(this.performance.cacheCheck||0)+Math.trunc(g()-A):Math.trunc(g()-A),this.analyze("Check Changed:");let x=[],d=[],l=[],y=[];this.state="detect:face",this.config.async?(x=this.config.face.enabled?uo(this,i.tensor):[],this.performance.face&&delete this.performance.face):(A=g(),x=this.config.face.enabled?await uo(this,i.tensor):[],this.performance.face=this.env.perfadd?(this.performance.face||0)+Math.trunc(g()-A):Math.trunc(g()-A)),this.config.async&&(this.config.body.maxDetected===-1||this.config.hand.maxDetected===-1)&&(x=await x),this.analyze("Start Body:"),this.state="detect:body";let c=this.config.body.maxDetected===-1?Y(this.config,{body:{maxDetected:this.config.face.enabled?1*x.length:1}}):this.config;this.config.async?((v=this.config.body.modelPath)!=null&&v.includes("posenet")?d=this.config.body.enabled?no(i.tensor,c):[]:(M=this.config.body.modelPath)!=null&&M.includes("blazepose")?d=this.config.body.enabled?m5(i.tensor,c):[]:(u=this.config.body.modelPath)!=null&&u.includes("efficientpose")?d=this.config.body.enabled?P5(i.tensor,c):[]:(p=this.config.body.modelPath)!=null&&p.includes("movenet")&&(d=this.config.body.enabled?K5(i.tensor,c):[]),this.performance.body&&delete this.performance.body):(A=g(),(P=this.config.body.modelPath)!=null&&P.includes("posenet")?d=this.config.body.enabled?await no(i.tensor,c):[]:(w=this.config.body.modelPath)!=null&&w.includes("blazepose")?d=this.config.body.enabled?await m5(i.tensor,c):[]:(S=this.config.body.modelPath)!=null&&S.includes("efficientpose")?d=this.config.body.enabled?await P5(i.tensor,c):[]:(O=this.config.body.modelPath)!=null&&O.includes("movenet")&&(d=this.config.body.enabled?await K5(i.tensor,c):[]),this.performance.body=this.env.perfadd?(this.performance.body||0)+Math.trunc(g()-A):Math.trunc(g()-A)),this.analyze("End Body:"),this.analyze("Start Hand:"),this.state="detect:hand";let f=this.config.hand.maxDetected===-1?Y(this.config,{hand:{maxDetected:this.config.face.enabled?2*x.length:1}}):this.config;this.config.async?((I=(W=this.config.hand.detector)==null?void 0:W.modelPath)!=null&&I.includes("handdetect")?l=this.config.hand.enabled?B5(i.tensor,f):[]:(B=(V=this.config.hand.detector)==null?void 0:V.modelPath)!=null&&B.includes("handtrack")&&(l=this.config.hand.enabled?V5(i.tensor,f):[]),this.performance.hand&&delete this.performance.hand):(A=g(),(J=(G=this.config.hand.detector)==null?void 0:G.modelPath)!=null&&J.includes("handdetect")?l=this.config.hand.enabled?await B5(i.tensor,f):[]:(P0=(z=this.config.hand.detector)==null?void 0:z.modelPath)!=null&&P0.includes("handtrack")&&(l=this.config.hand.enabled?await V5(i.tensor,f):[]),this.performance.hand=this.env.perfadd?(this.performance.hand||0)+Math.trunc(g()-A):Math.trunc(g()-A)),this.analyze("End Hand:"),this.analyze("Start Object:"),this.state="detect:object",this.config.async?((p0=this.config.object.modelPath)!=null&&p0.includes("nanodet")?y=this.config.object.enabled?_5(i.tensor,this.config):[]:(T=this.config.object.modelPath)!=null&&T.includes("centernet")&&(y=this.config.object.enabled?h5(i.tensor,this.config):[]),this.performance.object&&delete this.performance.object):(A=g(),(e0=this.config.object.modelPath)!=null&&e0.includes("nanodet")?y=this.config.object.enabled?await _5(i.tensor,this.config):[]:(E=this.config.object.modelPath)!=null&&E.includes("centernet")&&(y=this.config.object.enabled?await h5(i.tensor,this.config):[]),this.performance.object=this.env.perfadd?(this.performance.object||0)+Math.trunc(g()-A):Math.trunc(g()-A)),this.analyze("End Object:"),this.state="detect:await",this.config.async&&([x,d,l,y]=await Promise.all([x,d,l,y])),this.state="detect:gesture";let b=[];this.config.gesture.enabled&&(A=g(),b=[...Ar(x),...nr(d),...sr(l),...rr(x)],this.config.async?this.performance.gesture&&delete this.performance.gesture:this.performance.gesture=this.env.perfadd?(this.performance.gesture||0)+Math.trunc(g()-A):Math.trunc(g()-A)),this.performance.total=this.env.perfadd?(this.performance.total||0)+Math.trunc(g()-a):Math.trunc(g()-a);let m=((Q=(Z=this.process)==null?void 0:Z.tensor)==null?void 0:Q.shape)||[];this.result={face:x,body:d,hand:l,gesture:b,object:y,performance:this.performance,canvas:this.process.canvas,timestamp:Date.now(),error:null,get persons(){return yr(x,d,l,b,m)}},r.dispose(i.tensor),this.emit("detect"),this.state="idle",n(this.result)})}};Oe=new WeakMap,_e=new WeakMap,$e=new WeakMap,Ft=new WeakMap;export{cr as Human,cr as default,te as defaults,er as draw,R as env,lr as match,io as models};
/**
* Human main module
* @default Human Library
* @summary <https://github.com/vladmandic/human>
* @author <https://github.com/vladmandic>
* @copyright <https://github.com/vladmandic>
* @license MIT
*/
//# sourceMappingURL=human.esm-nobundle.js.map