human/dist/human.node-gpu.js

839 lines
293 KiB
JavaScript

/*
Human
homepage: <https://github.com/vladmandic/human>
author: <https://github.com/vladmandic>'
*/
var tn=Object.create;var p2=Object.defineProperty;var on=Object.getOwnPropertyDescriptor;var nn=Object.getOwnPropertyNames;var rn=Object.getPrototypeOf,An=Object.prototype.hasOwnProperty;var sn=(e,t,o)=>t in e?p2(e,t,{enumerable:!0,configurable:!0,writable:!0,value:o}):e[t]=o;var an=(e,t)=>()=>(t||e((t={exports:{}}).exports,t),t.exports),Se=(e,t)=>{for(var o in t)p2(e,o,{get:t[o],enumerable:!0})},lt=(e,t,o,n)=>{if(t&&typeof t=="object"||typeof t=="function")for(let r of nn(t))!An.call(e,r)&&r!==o&&p2(e,r,{get:()=>t[r],enumerable:!(n=on(t,r))||n.enumerable});return e};var Z=(e,t,o)=>(o=e!=null?tn(rn(e)):{},lt(t||!e||!e.__esModule?p2(o,"default",{value:e,enumerable:!0}):o,e)),ln=e=>lt(p2({},"__esModule",{value:!0}),e);var T=(e,t,o)=>(sn(e,typeof t!="symbol"?t+"":t,o),o),yt=(e,t,o)=>{if(!t.has(e))throw TypeError("Cannot "+o)};var u2=(e,t,o)=>(yt(e,t,"read from private field"),o?o.call(e):t.get(e)),h2=(e,t,o)=>{if(t.has(e))throw TypeError("Cannot add the same private member more than once");t instanceof WeakSet?t.add(e):t.set(e,o)},b2=(e,t,o,n)=>(yt(e,t,"write to private field"),n?n.call(e,o):t.set(e,o),o);var H=an((PA,E5)=>{var ct=Object.defineProperty,yn=Object.getOwnPropertyDescriptor,xn=Object.getOwnPropertyNames,cn=Object.prototype.hasOwnProperty,k5=(e,t,o,n)=>{if(t&&typeof t=="object"||typeof t=="function")for(let r of xn(t))!cn.call(e,r)&&r!==o&&ct(e,r,{get:()=>t[r],enumerable:!(n=yn(t,r))||n.enumerable});return e},dn=(e,t,o)=>(k5(e,t,"default"),o&&k5(o,t,"default")),fn=e=>k5(ct({},"__esModule",{value:!0}),e),dt={};E5.exports=fn(dt);dn(dt,require("@tensorflow/tfjs-node-gpu"),E5.exports)});var uA={};Se(uA,{Human:()=>rt,default:()=>rt,defaults:()=>me,draw:()=>Q1,env:()=>v,match:()=>nt,models:()=>P5});module.exports=ln(uA);function p(...e){let t=new Date,o=`${t.getHours().toString().padStart(2,"0")}:${t.getMinutes().toString().padStart(2,"0")}:${t.getSeconds().toString().padStart(2,"0")}.${t.getMilliseconds().toString().padStart(3,"0")}`;e&&console.log(o,"Human:",...e)}function xt(e,t){let o=e.endsWith("/")?"":"/",r=t.startsWith(".")||t.startsWith("/")||t.startsWith("http:")||t.startsWith("https:")||t.startsWith("file:")?`${t}`:`${e}${o}${t}`;if(!r.toLocaleLowerCase().includes(".json"))throw new Error(`modelpath error: expecting json file: ${r}`);return r}var h=()=>typeof performance!="undefined"?performance.now():parseInt((Number(process.hrtime.bigint())/1e3/1e3).toString());function w5(e,t,o="config",n=[]){for(let r of Object.keys(t))if(typeof t[r]=="object")w5(e[r],t[r],r,n);else{let A=e&&typeof e[r]!="undefined";A||n.push({reason:"unknown property",where:`${o}.${r} = ${t[r]}`});let s=e&&typeof e[r]==typeof t[r];A&&!s&&n.push({reason:"property type mismatch",where:`${o}.${r} = ${t[r]}`,expected:typeof e[r]})}return t.debug&&o==="config"&&n.length>0&&p("invalid configuration",n),n}function r0(...e){let t=o=>o&&typeof o=="object";return e.reduce((o,n)=>(Object.keys(n||{}).forEach(r=>{let A=o[r],s=n[r];Array.isArray(A)&&Array.isArray(s)?o[r]=A.concat(...s):t(A)&&t(s)?o[r]=r0(A,s):o[r]=s}),o),{})}var me={backend:"",modelBasePath:"",cacheModels:!0,wasmPath:"",wasmPlatformFetch:!1,debug:!0,async:!0,warmup:"full",cacheSensitivity:.7,skipAllowed:!1,deallocate:!1,filter:{enabled:!0,equalization:!1,width:0,height:0,flip:!1,return:!0,brightness:0,contrast:0,sharpness:0,blur:0,saturation:0,hue:0,negative:!1,sepia:!1,vintage:!1,kodachrome:!1,technicolor:!1,polaroid:!1,pixelate:0},gesture:{enabled:!0},face:{enabled:!0,detector:{modelPath:"blazeface.json",rotation:!0,maxDetected:1,skipFrames:99,skipTime:2500,minConfidence:.2,iouThreshold:.1,mask:!1,return:!1},mesh:{enabled:!0,modelPath:"facemesh.json",keepInvalid:!1},attention:{enabled:!1,modelPath:"facemesh-attention.json"},iris:{enabled:!0,modelPath:"iris.json"},emotion:{enabled:!0,minConfidence:.1,skipFrames:99,skipTime:1500,modelPath:"emotion.json"},description:{enabled:!0,modelPath:"faceres.json",skipFrames:99,skipTime:3e3,minConfidence:.1},antispoof:{enabled:!1,skipFrames:99,skipTime:4e3,modelPath:"antispoof.json"},liveness:{enabled:!1,skipFrames:99,skipTime:4e3,modelPath:"liveness.json"}},body:{enabled:!0,modelPath:"movenet-lightning.json",maxDetected:-1,minConfidence:.3,skipFrames:1,skipTime:200},hand:{enabled:!0,rotation:!0,skipFrames:99,skipTime:1e3,minConfidence:.5,iouThreshold:.2,maxDetected:-1,landmarks:!0,detector:{modelPath:"handtrack.json"},skeleton:{modelPath:"handlandmark-full.json"}},object:{enabled:!1,modelPath:"mb3-centernet.json",minConfidence:.2,iouThreshold:.4,maxDetected:10,skipFrames:99,skipTime:2e3},segmentation:{enabled:!1,modelPath:"selfie.json",blur:8}};var m0=Z(H());var N=Z(H());var ft=`
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 mt=`
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];
}
`,pt=`
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;
}
`,ut=`
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);
}
`,ht=`
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;
}
`,bt=`
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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function _t(e){var t;return v.initial&&(_0=null),_0?e.debug&&p("cached model:",_0.modelUrl):_0=await G((t=e.face.detector)==null?void 0:t.modelPath),he=_0.inputs[0].shape?_0.inputs[0].shape[2]:0,M2=O.scalar(he,"int32"),Qt=O.tensor2d(qt(he)),_0}function Vn(e){let t={};t.boxStarts=O.slice(e,[0,1],[-1,2]),t.centers=O.add(t.boxStarts,Qt),t.boxSizes=O.slice(e,[0,3],[-1,2]),t.boxSizesNormalized=O.div(t.boxSizes,M2),t.centersNormalized=O.div(t.centers,M2),t.halfBoxSize=O.div(t.boxSizesNormalized,B.tf2),t.starts=O.sub(t.centersNormalized,t.halfBoxSize),t.ends=O.add(t.centersNormalized,t.halfBoxSize),t.startNormalized=O.mul(t.starts,M2),t.endNormalized=O.mul(t.ends,M2);let o=O.concat2d([t.startNormalized,t.endNormalized],1);return Object.keys(t).forEach(n=>O.dispose(t[n])),o}async function $t(e,t){var a,i,y,c;if(!e||e.isDisposedInternal||e.shape.length!==4||e.shape[1]<1||e.shape[2]<1)return[];let 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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 s3={initial:!0},S0={detector:null,landmarks:null},Ke={detector:[224,224],landmarks:[256,256]},Q5=Number.MAX_SAFE_INTEGER,qn={landmarks:["ld_3d","activation_segmentation","activation_heatmap","world_3d","output_poseflag"],detector:[]},Q2=null,R2,be=[[0,0],[0,0],[0,0],[0,0]],r3=0,A3=e=>1-1/(1+Math.exp(e));async function a3(e){if(s3.initial&&(S0.detector=null),!S0.detector&&e.body.detector&&e.body.detector.modelPath){S0.detector=await G(e.body.detector.modelPath);let t=Object.values(S0.detector.modelSignature.inputs);Ke.detector[0]=Array.isArray(t)?parseInt(t[0].tensorShape.dim[1].size):0,Ke.detector[1]=Array.isArray(t)?parseInt(t[0].tensorShape.dim[2].size):0}else e.debug&&S0.detector&&p("cached model:",S0.detector.modelUrl);return await o3(),S0.detector}async function i3(e){if(s3.initial&&(S0.landmarks=null),S0.landmarks)e.debug&&p("cached model:",S0.landmarks.modelUrl);else{S0.landmarks=await G(e.body.modelPath);let t=Object.values(S0.landmarks.modelSignature.inputs);Ke.landmarks[0]=Array.isArray(t)?parseInt(t[0].tensorShape.dim[1].size):0,Ke.landmarks[1]=Array.isArray(t)?parseInt(t[0].tensorShape.dim[2].size):0}return S0.landmarks}async function Un(e,t){let o={};if(!e.shape||!e.shape[1]||!e.shape[2])return e;let n;if(R2&&(o.cropped=C0.image.cropAndResize(e,[R2],[0],[e.shape[1],e.shape[2]])),e.shape[1]!==e.shape[2]){let r=[e.shape[2]>e.shape[1]?Math.trunc((e.shape[2]-e.shape[1])/2):0,e.shape[2]>e.shape[1]?Math.trunc((e.shape[2]-e.shape[1])/2):0],A=[e.shape[1]>e.shape[2]?Math.trunc((e.shape[1]-e.shape[2])/2):0,e.shape[1]>e.shape[2]?Math.trunc((e.shape[1]-e.shape[2])/2):0];be=[[0,0],r,A,[0,0]],o.pad=C0.pad(o.cropped||e,be),o.resize=C0.image.resizeBilinear(o.pad,[t,t]),n=C0.div(o.resize,B.tf255)}else e.shape[1]!==t?(o.resize=C0.image.resizeBilinear(o.cropped||e,[t,t]),n=C0.div(o.resize,B.tf255)):n=C0.div(o.cropped||e,B.tf255);return Object.keys(o).forEach(r=>C0.dispose(o[r])),n}function Yn(e,t){for(let o of e)o.position=[Math.trunc(o.position[0]*(t[0]+be[2][0]+be[2][1])/t[0]-be[2][0]),Math.trunc(o.position[1]*(t[1]+be[1][0]+be[1][1])/t[1]-be[1][0]),o.position[2]],o.positionRaw=[o.position[0]/t[0],o.position[1]/t[1],2*o.position[2]/(t[0]+t[1])];if(R2)for(let o of e)o.positionRaw=[o.positionRaw[0]+R2[1],o.positionRaw[1]+R2[0],o.positionRaw[2]],o.position=[Math.trunc(o.positionRaw[0]*t[0]),Math.trunc(o.positionRaw[1]*t[1]),o.positionRaw[2]];return e}async function Kn(e){let t=e.find(a=>a.part==="leftPalm"),o=e.find(a=>a.part==="leftWrist"),n=e.find(a=>a.part==="leftIndex");t.position[2]=((o.position[2]||0)+(n.position[2]||0))/2;let r=e.find(a=>a.part==="rightPalm"),A=e.find(a=>a.part==="rightWrist"),s=e.find(a=>a.part==="rightIndex");r.position[2]=((A.position[2]||0)+(s.position[2]||0))/2}async function Jn(e,t,o){var u;let n={};[n.ld,n.segmentation,n.heatmap,n.world,n.poseflag]=(u=S0.landmarks)==null?void 0:u.execute(e,qn.landmarks);let r=(await n.poseflag.data())[0],A=await n.ld.data(),s=await n.world.data();Object.keys(n).forEach(m=>C0.dispose(n[m]));let a=[],i=5;for(let m=0;m<A.length/i;m++){let M=A3(A[i*m+3]),g=A3(A[i*m+4]),b=Math.trunc(100*M*g*r)/100,d=[A[i*m+0]/Ke.landmarks[0],A[i*m+1]/Ke.landmarks[1],A[i*m+2]+0],P=[Math.trunc(o[0]*d[0]),Math.trunc(o[1]*d[1]),d[2]],S=[s[i*m+0],s[i*m+1],s[i*m+2]+0];a.push({part:K5[m],positionRaw:d,position:P,distance:S,score:b})}if(r<(t.body.minConfidence||0))return null;Kn(a);let y=Yn(a,o),c=y.map(m=>m.position),l=ae(c,[o[0],o[1]]),x={};for(let[m,M]of Object.entries(J5)){let g=[];for(let b=0;b<M.length-1;b++){let d=y.find(S=>S.part===M[b]),P=y.find(S=>S.part===M[b+1]);d&&P&&g.push([d.position,P.position])}x[m]=g}return{id:0,score:Math.trunc(100*r)/100,box:l.box,boxRaw:l.boxRaw,keypoints:y,annotations:x}}async function _5(e,t){let o=[e.shape[2]||0,e.shape[1]||0],n=(t.body.skipTime||0)>h()-r3,r=Q5<(t.body.skipFrames||0);if(t.skipAllowed&&n&&r&&Q2!==null)Q5++;else{let A={};A.landmarks=await Un(e,256),Q2=await Jn(A.landmarks,t,o),Object.keys(A).forEach(s=>C0.dispose(A[s])),r3=h(),Q5=0}return Q2?[Q2]:[]}var R0=Z(H());var Je=[{class:1,label:"person"},{class:2,label:"bicycle"},{class:3,label:"car"},{class:4,label:"motorcycle"},{class:5,label:"airplane"},{class:6,label:"bus"},{class:7,label:"train"},{class:8,label:"truck"},{class:9,label:"boat"},{class:10,label:"traffic light"},{class:11,label:"fire hydrant"},{class:12,label:"stop sign"},{class:13,label:"parking 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or=[[61,146],[146,91],[91,181],[181,84],[84,17],[17,314],[314,405],[405,321],[321,375],[375,291],[61,185],[185,40],[40,39],[39,37],[37,0],[0,267],[267,269],[269,270],[270,409],[409,291],[78,95],[95,88],[88,178],[178,87],[87,14],[14,317],[317,402],[402,318],[318,324],[324,308],[78,191],[191,80],[80,81],[81,82],[82,13],[13,312],[312,311],[311,310],[310,415],[415,308]],nr=[[263,249],[249,390],[390,373],[373,374],[374,380],[380,381],[381,382],[382,362],[263,466],[466,388],[388,387],[387,386],[386,385],[385,384],[384,398],[398,362]],rr=[[276,283],[283,282],[282,295],[295,285],[300,293],[293,334],[334,296],[296,336]],Ar=[[474,475],[475,476],[476,477],[477,474]],sr=[[33,7],[7,163],[163,144],[144,145],[145,153],[153,154],[154,155],[155,133],[33,246],[246,161],[161,160],[160,159],[159,158],[158,157],[157,173],[173,133]],ar=[[46,53],[53,52],[52,65],[65,55],[70,63],[63,105],[105,66],[66,107]],ir=[[469,470],[470,471],[471,472],[472,469]],lr=[[10,338],[338,297],[297,332],[332,284],[284,251],[251,389],[389,356],[356,454],[454,323],[323,361],[361,288],[288,397],[397,365],[365,379],[379,378],[378,400],[400,377],[377,152],[152,148],[148,176],[176,149],[149,150],[150,136],[136,172],[172,58],[58,132],[132,93],[93,234],[234,127],[127,162],[162,21],[21,54],[54,103],[103,67],[67,109],[109,10]];function 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o={lips:t.filter(A=>A.size===160)[0].dataSync(),irisL:t.filter(A=>A.size===10)[0].dataSync(),eyeL:t.filter(A=>A.size===142)[0].dataSync(),irisR:t.filter(A=>A.size===10)[1].dataSync(),eyeR:t.filter(A=>A.size===142)[1].dataSync()},n=Oe.reduce((A,s)=>A+=e[s][2],0)/Oe.length;for(let A=0;A<o.irisL.length/2;A++)e.push([o.irisL[2*A+0],o.irisL[2*A+1],n]);let r=We.reduce((A,s)=>A+=e[s][2],0)/We.length;for(let A=0;A<o.irisR.length/2;A++)e.push([o.irisR[2*A+0],o.irisR[2*A+1],r]);for(let A=0;A<o.eyeL.length/2;A++)e[Oe[A]]=[o.eyeL[2*A+0],o.eyeL[2*A+1],e[Oe[A]][2]];for(let A=0;A<o.eyeR.length/2;A++)e[We[A]]=[o.eyeR[2*A+0],o.eyeR[2*A+1],e[We[A]][2]];for(let A=0;A<o.lips.length/2;A++)e[v2[A]]=[o.lips[2*A+0],o.lips[2*A+1],e[v2[A]][2]];return e}var $0={boxes:[],skipped:Number.MAX_SAFE_INTEGER,timestamp:0},b0=null,Le=0;async function N3(e,t){var a,i,y,c,l,x,f,u,m,M,g;let o=(((a=t.face.detector)==null?void 0:a.skipTime)||0)>h()-$0.timestamp,n=$0.skipped<(((i=t.face.detector)==null?void 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0:f.minConfidence)||1)){if(d.confidence=w.faceScore,(u=t.face.mesh)!=null&&u.keepInvalid){w.box=Z2(d,e),w.boxRaw=D2(d,e),w.score=w.boxScore,w.mesh=d.landmarks.map(V=>[(d.startPoint[0]+d.endPoint[0])/2+(d.endPoint[0]+d.startPoint[0])*V[0]/Ye(),(d.startPoint[1]+d.endPoint[1])/2+(d.endPoint[1]+d.startPoint[1])*V[1]/Ye()]),w.meshRaw=w.mesh.map(V=>[V[0]/(e.shape[2]||0),V[1]/(e.shape[1]||0),(V[2]||0)/Le]);for(let V of Object.keys(Ce))w.annotations[V]=[w.mesh[Ce[V]]]}}else{(m=t.face.attention)!=null&&m.enabled?K=await I3(K,j):(M=t.face.iris)!=null&&M.enabled&&(K=await S3(K,w.tensor,t,Le)),w.mesh=Ut(K,d,P,S,Le),w.meshRaw=w.mesh.map(E=>[E[0]/(e.shape[2]||0),E[1]/(e.shape[1]||0),(E[2]||0)/Le]);for(let E of Object.keys(Z0))w.annotations[E]=Z0[E].map(L0=>w.mesh[L0]);w.score=w.faceScore;let V={...Kt(w.mesh,d),confidence:d.confidence,landmarks:d.landmarks};w.box=Z2(V,e),w.boxRaw=D2(V,e),A.push(V)}$e.dispose([...j,U])}else{w.box=Z2(d,e),w.boxRaw=D2(d,e),w.score=w.boxScore,w.mesh=d.landmarks.map(j=>[(d.startPoint[0]+d.endPoint[0])/2+(d.endPoint[0]+d.startPoint[0])*j[0]/Ye(),(d.startPoint[1]+d.endPoint[1])/2+(d.endPoint[1]+d.startPoint[1])*j[1]/Ye()]),w.meshRaw=w.mesh.map(j=>[j[0]/(e.shape[2]||0),j[1]/(e.shape[1]||0),(j[2]||0)/Le]);for(let j of Object.keys(Ce))w.annotations[j]=[w.mesh[Ce[j]]]}w.score>(((g=t.face.detector)==null?void 0:g.minConfidence)||1)?r.push(w):$e.dispose(w.tensor)}return $0.boxes=A,r}async function O3(e){var t,o,n,r,A,s;return v.initial&&(b0=null),((o=(t=e==null?void 0:e.face)==null?void 0:t.attention)==null?void 0:o.enabled)&&(b0==null?void 0:b0.signature)&&Object.keys(((n=b0==null?void 0:b0.signature)==null?void 0:n.outputs)||{}).length<6&&(b0=null),b0?e.debug&&p("cached model:",b0.modelUrl):(r=e.face.attention)!=null&&r.enabled?b0=await 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Object.keys(o).forEach(r=>L.dispose(o[r])),n}normalizeLandmarks(t,o){let n={};n.reshape=L.reshape(t,[-1,7,2]),n.div=L.div(n.reshape,this.inputSizeTensor),n.landmarks=L.add(n.div,this.anchors[o]);let r=L.mul(n.landmarks,this.inputSizeTensor);return Object.keys(n).forEach(A=>L.dispose(n[A])),r}async predict(t,o){let n={};n.resize=L.image.resizeBilinear(t,[this.inputSize,this.inputSize]),n.div=L.div(n.resize,B.tf127),n.image=L.sub(n.div,B.tf1),n.batched=this.model.execute(n.image),n.predictions=L.squeeze(n.batched),n.slice=L.slice(n.predictions,[0,0],[-1,1]),n.sigmoid=L.sigmoid(n.slice),n.scores=L.squeeze(n.sigmoid);let r=await n.scores.data();n.boxes=L.slice(n.predictions,[0,1],[-1,4]),n.norm=this.normalizeBoxes(n.boxes),n.nms=await L.image.nonMaxSuppressionAsync(n.norm,n.scores,3*o.hand.maxDetected,o.hand.iouThreshold,o.hand.minConfidence);let A=await n.nms.array(),s=[];for(let a of A){let i={};i.box=L.slice(n.norm,[a,0],[1,-1]),i.slice=L.slice(n.predictions,[a,5],[1,14]),i.norm=this.normalizeLandmarks(i.slice,a),i.palmLandmarks=L.reshape(i.norm,[-1,2]);let y=await i.box.data(),c=y.slice(0,2),l=y.slice(2,4),x=await i.palmLandmarks.array(),f={startPoint:c,endPoint:l,palmLandmarks:x,confidence:r[a]},u=X3(f,[t.shape[2]/this.inputSize,t.shape[1]/this.inputSize]);s.push(u),Object.keys(i).forEach(m=>L.dispose(i[m]))}return Object.keys(n).forEach(a=>L.dispose(n[a])),s}};var N0=Z(H());var ur=5,J3=1.65,Q3=[0,5,9,13,17,1,2],hr=0,br=2,_3=0,s5=class{constructor(t,o){T(this,"handDetector");T(this,"handPoseModel");T(this,"inputSize");T(this,"storedBoxes");T(this,"skipped");T(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(s=>s[0]),n=t.map(s=>s[1]),r=[Math.min(...o),Math.min(...n)],A=[Math.max(...o),Math.max(...n)];return{startPoint:r,endPoint:A}}getBoxForPalmLandmarks(t,o){let n=t.map(A=>h1([...A,1],o)),r=this.calculateLandmarksBoundingBox(n);return n5(r5(r),ur)}getBoxForHandLandmarks(t){let o=this.calculateLandmarksBoundingBox(t),n=n5(r5(o),J3);n.palmLandmarks=[];for(let r=0;r<Q3.length;r++)n.palmLandmarks.push(t[Q3[r]].slice(0,2));return n}transformRawCoords(t,o,n,r){let A=o5(o),s=[A[0]/this.inputSize,A[1]/this.inputSize,(A[0]+A[1])/this.inputSize/2],a=t.map(f=>[s[0]*(f[0]-this.inputSize/2),s[1]*(f[1]-this.inputSize/2),s[2]*f[2]]),i=u1(n,[0,0]),y=a.map(f=>[...h1(f,i),f[2]]),c=U3(r),l=[...T2(o),1],x=[Me(l,c[0]),Me(l,c[1])];return y.map(f=>[Math.trunc(f[0]+x[0]),Math.trunc(f[1]+x[1]),Math.trunc(f[2])])}async estimateHands(t,o){let n=!1,r,A=(o.hand.skipTime||0)>h()-_3,s=this.skipped<(o.hand.skipFrames||0);o.skipAllowed&&A&&s&&(r=await this.handDetector.predict(t,o),this.skipped=0),o.skipAllowed&&this.skipped++,r&&r.length>0&&(r.length!==this.detectedHands&&this.detectedHands!==o.hand.maxDetected||!o.hand.landmarks)&&(this.detectedHands=0,this.storedBoxes=[...r],this.storedBoxes.length>0&&(n=!0));let a=[];for(let i=0;i<this.storedBoxes.length;i++){let y=this.storedBoxes[i];if(!!y)if(o.hand.landmarks){let c=o.hand.rotation?q3(y.palmLandmarks[hr],y.palmLandmarks[br]):0,l=T2(y),x=[l[0]/t.shape[2],l[1]/t.shape[1]],f=o.hand.rotation&&v.kernels.includes("rotatewithoffset")?N0.image.rotateWithOffset(t,c,0,x):t.clone(),u=u1(-c,l),m=n?this.getBoxForPalmLandmarks(y.palmLandmarks,u):y,M=D3(m,f,[this.inputSize,this.inputSize]),g=N0.div(M,B.tf255);N0.dispose(M),N0.dispose(f);let[b,d]=this.handPoseModel.execute(g);_3=h(),N0.dispose(g);let P=(await b.data())[0];if(N0.dispose(b),P>=o.hand.minConfidence/4){let S=N0.reshape(d,[-1,3]),w=await S.array();N0.dispose(d),N0.dispose(S);let j=this.transformRawCoords(w,m,c,u),C=this.getBoxForHandLandmarks(j);this.storedBoxes[i]={...C,confidence:P};let F={landmarks:j,confidence:P,boxConfidence:y.confidence,fingerConfidence:P,box:{topLeft:C.startPoint,bottomRight:C.endPoint}};a.push(F)}else this.storedBoxes[i]=null;N0.dispose(d)}else{let c=n5(r5(y),J3),l={confidence:y.confidence,boxConfidence:y.confidence,fingerConfidence:0,box:{topLeft:c.startPoint,bottomRight:c.endPoint},landmarks:[]};a.push(l)}}return this.storedBoxes=this.storedBoxes.filter(i=>i!==null),this.detectedHands=a.length,a.length>o.hand.maxDetected&&(a.length=o.hand.maxDetected),a}};var 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a=o[r].box?[Math.trunc(Math.max(0,o[r].box.topLeft[0])),Math.trunc(Math.max(0,o[r].box.topLeft[1])),Math.trunc(Math.min(e.shape[2]||0,o[r].box.bottomRight[0])-Math.max(0,o[r].box.topLeft[0])),Math.trunc(Math.min(e.shape[1]||0,o[r].box.bottomRight[1])-Math.max(0,o[r].box.topLeft[1]))]:[0,0,0,0],i=[o[r].box.topLeft[0]/(e.shape[2]||0),o[r].box.topLeft[1]/(e.shape[1]||0),(o[r].box.bottomRight[0]-o[r].box.topLeft[0])/(e.shape[2]||0),(o[r].box.bottomRight[1]-o[r].box.topLeft[1])/(e.shape[1]||0)];let y=a5(s);n.push({id:r,score:Math.round(100*o[r].confidence)/100,boxScore:Math.round(100*o[r].boxConfidence)/100,fingerScore:Math.round(100*o[r].fingerConfidence)/100,label:"hand",box:a,boxRaw:i,keypoints:s,annotations:A,landmarks:y})}return n}async function M1(e){var o,n;v.initial&&(n2=null,r2=null),!n2||!r2?[n2,r2]=await Promise.all([e.hand.enabled?G((o=e.hand.detector)==null?void 0:o.modelPath):null,e.hand.landmarks?G((n=e.hand.skeleton)==null?void 0:n.modelPath):null]):(e.debug&&p("cached model:",n2.modelUrl),e.debug&&p("cached model:",r2.modelUrl));let t=new A5(n2);return io=new s5(t,r2),[n2,r2]}var J=Z(H());var c0=[null,null],Er=["StatefulPartitionedCall/Postprocessor/Slice","StatefulPartitionedCall/Postprocessor/ExpandDims_1"],Ee=[[0,0],[0,0]],zr=["hand","fist","pinch","point","face","tip","pinchtip"],yo=4,xo=1.6,Sr=512,Cr=1.4,i5=Number.MAX_SAFE_INTEGER,R1=0,ce=[0,0],A0={boxes:[],hands:[]},co={thumb:[1,2,3,4],index:[5,6,7,8],middle:[9,10,11,12],ring:[13,14,15,16],pinky:[17,18,19,20],base:[0],palm:[0,17,13,9,5,1,0]};async function fo(e){var t;if(v.initial&&(c0[0]=null),c0[0])e.debug&&p("cached model:",c0[0].modelUrl);else{l5(["tensorlistreserve","enter","tensorlistfromtensor","merge","loopcond","switch","exit","tensorliststack","nextiteration","tensorlistsetitem","tensorlistgetitem","reciprocal","shape","split","where"],e),c0[0]=await G((t=e.hand.detector)==null?void 0:t.modelPath);let o=Object.values(c0[0].modelSignature.inputs);Ee[0][0]=Array.isArray(o)?parseInt(o[0].tensorShape.dim[1].size):0,Ee[0][1]=Array.isArray(o)?parseInt(o[0].tensorShape.dim[2].size):0}return c0[0]}async function mo(e){var t;if(v.initial&&(c0[1]=null),c0[1])e.debug&&p("cached model:",c0[1].modelUrl);else{c0[1]=await G((t=e.hand.skeleton)==null?void 0:t.modelPath);let o=Object.values(c0[1].modelSignature.inputs);Ee[1][0]=Array.isArray(o)?parseInt(o[0].tensorShape.dim[1].size):0,Ee[1][1]=Array.isArray(o)?parseInt(o[0].tensorShape.dim[2].size):0}return c0[1]}async function jr(e,t){let o=[];if(!e||!c0[0])return o;let n={},r=(e.shape[2]||1)/(e.shape[1]||1),A=Math.min(Math.round((e.shape[1]||0)/8)*8,Sr),s=Math.round(A*r/8)*8;n.resize=J.image.resizeBilinear(e,[A,s]),n.cast=J.cast(n.resize,"int32"),[n.rawScores,n.rawBoxes]=await c0[0].executeAsync(n.cast,Er),n.boxes=J.squeeze(n.rawBoxes,[0,2]),n.scores=J.squeeze(n.rawScores,[0]);let a=J.unstack(n.scores,1);J.dispose(a[yo]),a.splice(yo,1),n.filtered=J.stack(a,1),J.dispose(a),n.max=J.max(n.filtered,1),n.argmax=J.argMax(n.filtered,1);let i=0;n.nms=await J.image.nonMaxSuppressionAsync(n.boxes,n.max,(t.hand.maxDetected||0)+1,t.hand.iouThreshold||0,t.hand.minConfidence||1);let y=await n.nms.data(),c=await n.max.data(),l=await n.argmax.data();for(let x of Array.from(y)){let f=J.slice(n.boxes,x,1),u=await f.data();J.dispose(f);let m=[u[1],u[0],u[3]-u[1],u[2]-u[0]],M=K2(m,Cr),g=[Math.trunc(m[0]*ce[0]),Math.trunc(m[1]*ce[1]),Math.trunc(m[2]*ce[0]),Math.trunc(m[3]*ce[1])],b=c[x],d=zr[l[x]],P={id:i++,score:b,box:g,boxRaw:M,label:d};o.push(P)}return Object.keys(n).forEach(x=>J.dispose(n[x])),o.sort((x,f)=>f.score-x.score),o.length>(t.hand.maxDetected||1)&&(o.length=t.hand.maxDetected||1),o}async function v1(e,t,o){let n={id:t.id,score:Math.round(100*t.score)/100,boxScore:Math.round(100*t.score)/100,fingerScore:0,box:t.box,boxRaw:t.boxRaw,label:t.label,keypoints:[],landmarks:{},annotations:{}};if(e&&c0[1]&&o.hand.landmarks&&t.score>(o.hand.minConfidence||0)){let r={},A=[t.boxRaw[1],t.boxRaw[0],t.boxRaw[3]+t.boxRaw[1],t.boxRaw[2]+t.boxRaw[0]];r.crop=J.image.cropAndResize(e,[A],[0],[Ee[1][0],Ee[1][1]],"bilinear"),r.div=J.div(r.crop,B.tf255),[r.score,r.keypoints]=c0[1].execute(r.div,["Identity_1","Identity"]);let s=(await r.score.data())[0],a=(100-Math.trunc(100/(1+Math.exp(s))))/100;if(a>=(o.hand.minConfidence||0)){n.fingerScore=a,r.reshaped=J.reshape(r.keypoints,[-1,3]);let c=(await r.reshaped.array()).map(l=>[l[0]/Ee[1][1],l[1]/Ee[1][0],l[2]||0]).map(l=>[l[0]*t.boxRaw[2],l[1]*t.boxRaw[3],l[2]||0]);n.keypoints=c.map(l=>[ce[0]*(l[0]+t.boxRaw[0]),ce[1]*(l[1]+t.boxRaw[1]),l[2]||0]),n.landmarks=a5(n.keypoints);for(let l of Object.keys(co))n.annotations[l]=co[l].map(x=>n.landmarks&&n.keypoints[x]?n.keypoints[x]:null)}Object.keys(r).forEach(i=>J.dispose(r[i]))}return n}async function T1(e,t){var r,A;if(!c0[0]||!c0[1]||!((r=c0[0])!=null&&r.inputs[0].shape)||!((A=c0[1])!=null&&A.inputs[0].shape))return[];ce=[e.shape[2]||0,e.shape[1]||0],i5++;let o=(t.hand.skipTime||0)>h()-R1,n=i5<(t.hand.skipFrames||0);return t.skipAllowed&&o&&n?A0.hands:new Promise(async s=>{let a=3*(t.hand.skipTime||0)>h()-R1,i=i5<3*(t.hand.skipFrames||0);t.skipAllowed&&A0.hands.length===t.hand.maxDetected?A0.hands=await Promise.all(A0.boxes.map(c=>v1(e,c,t))):t.skipAllowed&&a&&i&&A0.hands.length>0?A0.hands=await Promise.all(A0.boxes.map(c=>v1(e,c,t))):(A0.boxes=await jr(e,t),R1=h(),A0.hands=await Promise.all(A0.boxes.map(c=>v1(e,c,t))),i5=0);let y=[...A0.boxes];if(A0.boxes.length=0,t.cacheSensitivity>0)for(let c=0;c<A0.hands.length;c++){let l=n3(A0.hands[c].keypoints,ce);if(l.box[2]/(e.shape[2]||1)>.05&&l.box[3]/(e.shape[1]||1)>.05&&A0.hands[c].fingerScore&&A0.hands[c].fingerScore>(t.hand.minConfidence||0)){let x=K2(l.box,xo),f=K2(l.boxRaw,xo);A0.boxes.push({...y[c],box:x,boxRaw:f})}}for(let c=0;c<A0.hands.length;c++){let l=ae(A0.hands[c].keypoints,ce);A0.hands[c].box=l.box,A0.hands[c].boxRaw=l.boxRaw}s(A0.hands)})}var x5=Z(H());var g0,y5=[],w1=Number.MAX_SAFE_INTEGER,uo=0,ho=0;async function bo(e){var t;return v.initial&&(g0=null),g0?e.debug&&p("cached model:",g0.modelUrl):g0=await G((t=e.face.liveness)==null?void 0:t.modelPath),g0}async function k1(e,t,o,n){var s,a;if(!g0)return 0;let r=(((s=t.face.liveness)==null?void 0:s.skipTime)||0)>h()-ho,A=w1<(((a=t.face.liveness)==null?void 0:a.skipFrames)||0);return t.skipAllowed&&r&&A&&uo===n&&y5[o]?(w1++,y5[o]):(w1=0,new Promise(async i=>{let y=x5.image.resizeBilinear(e,[g0!=null&&g0.inputs[0].shape?g0.inputs[0].shape[2]:0,g0!=null&&g0.inputs[0].shape?g0.inputs[0].shape[1]:0],!1),c=g0==null?void 0:g0.execute(y),l=(await c.data())[0];y5[o]=Math.round(100*l)/100,uo=n,ho=h(),x5.dispose([y,c]),i(y5[o])}))}var To=Z(H());var w2={};Se(w2,{connected:()=>d5,horizontal:()=>E1,kpt:()=>c5,relative:()=>S1,vertical:()=>z1});var c5=["nose","leftEye","rightEye","leftEar","rightEar","leftShoulder","rightShoulder","leftElbow","rightElbow","leftWrist","rightWrist","leftHip","rightHip","leftKnee","rightKnee","leftAnkle","rightAnkle"],E1=[["leftEye","rightEye"],["leftEar","rightEar"],["leftShoulder","rightShoulder"],["leftElbow","rightElbow"],["leftWrist","rightWrist"],["leftHip","rightHip"],["leftKnee","rightKnee"],["leftAnkle","rightAnkle"]],z1=[["leftKnee","leftShoulder"],["rightKnee","rightShoulder"],["leftAnkle","leftKnee"],["rightAnkle","rightKnee"]],S1=[[["leftHip","rightHip"],["leftShoulder","rightShoulder"]],[["leftElbow","rightElbow"],["leftShoulder","rightShoulder"]]],d5={leftLeg:["leftHip","leftKnee","leftAnkle"],rightLeg:["rightHip","rightKnee","rightAnkle"],torso:["leftShoulder","rightShoulder","rightHip","leftHip","leftShoulder"],leftArm:["leftShoulder","leftElbow","leftWrist"],rightArm:["rightShoulder","rightElbow","rightWrist"],head:[]};var ze=Z(H()),Po=.005,O0={keypoints:[],padding:[[0,0],[0,0],[0,0],[0,0]]};function C1(e){for(let t of E1){let o=e.keypoints.findIndex(r=>r.part===t[0]),n=e.keypoints.findIndex(r=>r.part===t[1]);if(e.keypoints[o]&&e.keypoints[n]&&e.keypoints[o].position[0]<e.keypoints[n].position[0]){let r=e.keypoints[o];e.keypoints[o]=e.keypoints[n],e.keypoints[n]=r}}for(let t of z1){let o=e.keypoints.findIndex(r=>r&&r.part===t[0]),n=e.keypoints.findIndex(r=>r&&r.part===t[1]);e.keypoints[o]&&e.keypoints[n]&&e.keypoints[o].position[1]<e.keypoints[n].position[1]&&e.keypoints.splice(o,1)}for(let[t,o]of S1){let n=e.keypoints.findIndex(y=>y&&y.part===t[0]),r=e.keypoints.findIndex(y=>y&&y.part===t[1]),A=e.keypoints.findIndex(y=>y&&y.part===o[0]),s=e.keypoints.findIndex(y=>y&&y.part===o[1]);if(!e.keypoints[A]||!e.keypoints[s])continue;let a=e.keypoints[n]?[Math.abs(e.keypoints[A].position[0]-e.keypoints[n].position[0]),Math.abs(e.keypoints[s].position[0]-e.keypoints[n].position[0])]:[0,0],i=e.keypoints[r]?[Math.abs(e.keypoints[s].position[0]-e.keypoints[r].position[0]),Math.abs(e.keypoints[A].position[0]-e.keypoints[r].position[0])]:[0,0];if(a[0]>a[1]||i[0]>i[1]){let y=e.keypoints[n];e.keypoints[n]=e.keypoints[r],e.keypoints[r]=y}}}function Mo(e){for(let t=0;t<e.length;t++)if(e[t]&&O0.keypoints[t]){let o=[Math.abs(e[t].positionRaw[0]-O0.keypoints[t].positionRaw[0]),Math.abs(e[t].positionRaw[1]-O0.keypoints[t].positionRaw[1])];o[0]<Po&&o[1]<Po?e[t]=O0.keypoints[t]:O0.keypoints[t]=e[t]}else O0.keypoints[t]=e[t];return e}function Ro(e,t){let o={};if(!e.shape||!e.shape[1]||!e.shape[2])return e;O0.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=ze.pad(e,O0.padding),o.resize=ze.image.resizeBilinear(o.pad,[t,t]);let n=ze.cast(o.resize,"int32");return Object.keys(o).forEach(r=>ze.dispose(o[r])),n}function vo(e,t){e.keypoints=e.keypoints.filter(n=>n&&n.position);for(let n of e.keypoints)n.position=[n.position[0]*(t[0]+O0.padding[2][0]+O0.padding[2][1])/t[0]-O0.padding[2][0],n.position[1]*(t[1]+O0.padding[1][0]+O0.padding[1][1])/t[1]-O0.padding[1][0]],n.positionRaw=[n.position[0]/t[0],n.position[1]/t[1]];let o=ae(e.keypoints.map(n=>n.position),t);return e.box=o.box,e.boxRaw=o.boxRaw,e}var W0,f5=0,j1=Number.MAX_SAFE_INTEGER,He={boxes:[],bodies:[],last:0};async function wo(e){return v.initial&&(W0=null),W0?e.debug&&p("cached 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a=[];for(let l=0;l<17;l++){let x=A[3*l+2];if(x>t.body.minConfidence){let f=[A[3*l+1],A[3*l+0]];a.push({part:c5[l],score:Math.round(100*x)/100,positionRaw:f,position:[Math.round((o.shape[2]||0)*f[0]),Math.round((o.shape[1]||0)*f[1])]})}}let i=ae(a.map(l=>l.position),[o.shape[2],o.shape[1]]),y={};for(let[l,x]of Object.entries(d5)){let f=[];for(let u=0;u<x.length-1;u++){let m=a.find(g=>g.part===x[u]),M=a.find(g=>g.part===x[u+1]);m&&M&&m.score>(t.body.minConfidence||0)&&M.score>(t.body.minConfidence||0)&&f.push([m.position,M.position])}y[l]=f}let c={id:r,score:s,box:i.box,boxRaw:i.boxRaw,keypoints:[...a],annotations:y};C1(c),n.push(c)}}return n.sort((r,A)=>A.score-r.score),n.length>t.body.maxDetected&&(n.length=t.body.maxDetected),n}async function I1(e,t){if(!W0||!(W0!=null&&W0.inputs[0].shape))return[];t.skipAllowed||(He.boxes.length=0),j1++;let o=(t.body.skipTime||0)>h()-He.last,n=j1<(t.body.skipFrames||0);return t.skipAllowed&&o&&n?He.bodies:new Promise(async r=>{let 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g=u[m][M];if(g>(o.object.minConfidence||0)&&M!==61){let b=(.5+Math.trunc(m%y))/y,d=(.5+Math.trunc(m/y))/y,P=f[m].map(K=>K*(y/i/u5)),[S,w]=[b-p5/i*P[0],d-p5/i*P[1]],[j,C]=[b+p5/i*P[2]-S,d+p5/i*P[3]-w],F=[S,w,j,C];F=F.map(K=>Math.max(0,Math.min(K,1)));let Q=[F[0]*t[0],F[1]*t[1],F[2]*t[0],F[3]*t[1]],U={id:n++,score:Math.round(100*g)/100,class:M+1,label:Je[M].label,box:Q.map(K=>Math.trunc(K)),boxRaw:F};r.push(U)}}});e.forEach(i=>w0.dispose(i));let A=r.map(i=>[i.boxRaw[1],i.boxRaw[0],i.boxRaw[3],i.boxRaw[2]]),s=r.map(i=>i.score),a=[];if(A&&A.length>0){let i=await w0.image.nonMaxSuppressionAsync(A,s,o.object.maxDetected,o.object.iouThreshold,o.object.minConfidence);a=await i.data(),w0.dispose(i)}return r=r.filter((i,y)=>a.includes(y)).sort((i,y)=>y.score-i.score),r}async function O1(e,t){let o=(t.object.skipTime||0)>h()-Eo,n=N1<(t.object.skipFrames||0);return t.skipAllowed&&o&&n&&m5.length>0?(N1++,m5):(N1=0,!v.kernels.includes("mod")||!v.kernels.includes("sparsetodense")?m5:new Promise(async r=>{let A=[e.shape[2]||0,e.shape[1]||0],s=w0.image.resizeBilinear(e,[u5,u5],!1),a=w0.div(s,B.tf255),i=a.transpose([0,3,1,2]);w0.dispose(a),w0.dispose(s);let y;t.object.enabled&&(y=A2.execute(i)),Eo=h(),w0.dispose(i);let c=await Wr(y,A,t);m5=c,r(c)}))}var k0=Z(H());var E2=["nose","leftEye","rightEye","leftEar","rightEar","leftShoulder","rightShoulder","leftElbow","rightElbow","leftWrist","rightWrist","leftHip","rightHip","leftKnee","rightKnee","leftAnkle","rightAnkle"],Lr=E2.length,k2=E2.reduce((e,t,o)=>(e[t]=o,e),{}),Fr=[["leftHip","leftShoulder"],["leftElbow","leftShoulder"],["leftElbow","leftWrist"],["leftHip","leftKnee"],["leftKnee","leftAnkle"],["rightHip","rightShoulder"],["rightElbow","rightShoulder"],["rightElbow","rightWrist"],["rightHip","rightKnee"],["rightKnee","rightAnkle"],["leftShoulder","rightShoulder"],["leftHip","rightHip"]],i4=Fr.map(([e,t])=>[k2[e],k2[t]]),Co=[["nose","leftEye"],["leftEye","leftEar"],["nose","rightEye"],["rightEye","rightEar"],["nose","leftShoulder"],["leftShoulder","leftElbow"],["leftElbow","leftWrist"],["leftShoulder","leftHip"],["leftHip","leftKnee"],["leftKnee","leftAnkle"],["nose","rightShoulder"],["rightShoulder","rightElbow"],["rightElbow","rightWrist"],["rightShoulder","rightHip"],["rightHip","rightKnee"],["rightKnee","rightAnkle"]];function jo(e){let t=e.reduce(({maxX:o,maxY:n,minX:r,minY:A},{position:{x:s,y:a}})=>({maxX:Math.max(o,s),maxY:Math.max(n,a),minX:Math.min(r,s),minY:Math.min(A,a)}),{maxX:Number.NEGATIVE_INFINITY,maxY:Number.NEGATIVE_INFINITY,minX:Number.POSITIVE_INFINITY,minY:Number.POSITIVE_INFINITY});return[t.minX,t.minY,t.maxX-t.minX,t.maxY-t.minY]}function Io(e,[t,o],[n,r]){let A=t/n,s=o/r,a=(y,c)=>({id:c,score:y.score,boxRaw:[y.box[0]/r,y.box[1]/n,y.box[2]/r,y.box[3]/n],box:[Math.trunc(y.box[0]*s),Math.trunc(y.box[1]*A),Math.trunc(y.box[2]*s),Math.trunc(y.box[3]*A)],keypoints:y.keypoints.map(({score:l,part:x,position:f})=>({score:l,part:x,position:[Math.trunc(f.x*s),Math.trunc(f.y*A)],positionRaw:[f.x/n,f.y/n]})),annotations:{}});return e.map((y,c)=>a(y,c))}var h5=class{constructor(t,o){T(this,"priorityQueue");T(this,"numberOfElements");T(this,"getElementValue");this.priorityQueue=new 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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MobileFaceNet:"),e.config.async?a=(Q=e.config.face.mobilefacenet)!=null&&Q.enabled?l1(x[k].tensor||s0.tensor([]),e.config,k,x.length):null:(e.state="run:mobilefacenet",o=h(),a=(U=e.config.face.mobilefacenet)!=null&&U.enabled?await l1(x[k].tensor||s0.tensor([]),e.config,k,x.length):null,e.performance.mobilefacenet=Math.trunc(h()-o)),e.analyze("End MobileFaceNet:"),e.analyze("Start Description:"),e.config.async?c=(K=e.config.face.description)!=null&&K.enabled?m1(x[k].tensor||s0.tensor([]),e.config,k,x.length):null:(e.state="run:description",o=h(),c=(V=e.config.face.description)!=null&&V.enabled?await m1(x[k].tensor||s0.tensor([]),e.config,k,x.length):null,e.performance.description=v.perfadd?(e.performance.description||0)+Math.trunc(h()-o):Math.trunc(h()-o)),e.analyze("End Description:"),e.config.async&&([n,A,s,a,c,r,i,y]=await Promise.all([n,A,s,a,c,r,i,y])),e.analyze("Finish Face:"),((E=e.config.face.ssrnet)==null?void 0:E.enabled)&&n&&A&&(c={...c,age:n.age,gender:A.gender,genderScore:A.genderScore}),((L0=e.config.face.gear)==null?void 0:L0.enabled)&&r&&(c={...c,age:r.age,gender:r.gender,genderScore:r.genderScore,race:r.race}),((F0=e.config.face.mobilefacenet)==null?void 0:F0.enabled)&&a&&(c.descriptor=a),(R=e.config.face.iris)!=null&&R.enabled;let a0=x[k].annotations&&x[k].annotations.leftEyeIris&&x[k].annotations.leftEyeIris[0]&&x[k].annotations.rightEyeIris&&x[k].annotations.rightEyeIris[0]&&x[k].annotations.leftEyeIris.length>0&&x[k].annotations.rightEyeIris.length>0&&x[k].annotations.leftEyeIris[0]!==null&&x[k].annotations.rightEyeIris[0]!==null?Math.max(Math.abs(x[k].annotations.leftEyeIris[3][0]-x[k].annotations.leftEyeIris[1][0]),Math.abs(x[k].annotations.rightEyeIris[4][1]-x[k].annotations.rightEyeIris[2][1]))/t.shape[2]:0,d0=(x0=e.config.face.detector)!=null&&x0.return?s0.squeeze(x[k].tensor):null;s0.dispose(x[k].tensor),x[k].tensor&&delete x[k].tensor;let W={...x[k],id:k};c!=null&&c.age&&(W.age=c.age),c!=null&&c.gender&&(W.gender=c.gender),c!=null&&c.genderScore&&(W.genderScore=c==null?void 0:c.genderScore),c!=null&&c.descriptor&&(W.embedding=c==null?void 0:c.descriptor),c!=null&&c.race&&(W.race=c==null?void 0:c.race),s&&(W.emotion=s),i&&(W.real=i),y&&(W.live=y),a0&&a0!==0&&(W.iris=Math.trunc(500/a0/11.7)/100),$&&(W.rotation=$),d0&&(W.tensor=d0),l.push(W),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),l};var Uo=e=>{if(!e)return[];let t=[];for(let o=0;o<e.length;o++){let n=e[o].keypoints.find(i=>i.part==="leftWrist"),r=e[o].keypoints.find(i=>i.part==="rightWrist"),A=e[o].keypoints.find(i=>i.part==="nose");A&&n&&r&&n.position[1]<A.position[1]&&r.position[1]<A.position[1]?t.push({body:o,gesture:"i give 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a=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]));a>10&&t.push({face:o,gesture:`mouth ${Math.trunc(a)}% open`});let i=e[o].mesh[152][2]||0;Math.abs(i)>10&&t.push({face:o,gesture:`head ${i<0?"up":"down"}`})}return t},Ko=e=>{if(!e)return[];let t=[];for(let o=0;o<e.length;o++){if(!e[o].annotations||!e[o].annotations.leftEyeIris||!e[o].annotations.leftEyeIris[0]||!e[o].annotations.rightEyeIris||!e[o].annotations.rightEyeIris[0])continue;let n=e[o].annotations.leftEyeIris[3][0]-e[o].annotations.leftEyeIris[1][0],r=e[o].annotations.leftEyeIris[4][1]-e[o].annotations.leftEyeIris[2][1],A=Math.abs(n*r),s=e[o].annotations.rightEyeIris[3][0]-e[o].annotations.rightEyeIris[1][0],a=e[o].annotations.rightEyeIris[4][1]-e[o].annotations.rightEyeIris[2][1],i=Math.abs(s*a),y=!1;Math.abs(A-i)/Math.max(A,i)<.25&&(y=!0,t.push({iris:o,gesture:"facing center"}));let l=Math.abs(e[o].mesh[263][0]-e[o].annotations.leftEyeIris[0][0])/e[o].box[2],x=Math.abs(e[o].mesh[33][0]-e[o].annotations.rightEyeIris[0][0])/e[o].box[2];(l>.06||x>.06)&&(y=!1),l>x?l>.05&&t.push({iris:o,gesture:"looking right"}):x>.05&&t.push({iris:o,gesture:"looking left"});let f=Math.abs(e[o].mesh[145][1]-e[o].annotations.rightEyeIris[0][1])/e[o].box[3],u=Math.abs(e[o].mesh[374][1]-e[o].annotations.leftEyeIris[0][1])/e[o].box[3];(u<.01||f<.01||u>.022||f>.022)&&(y=!1),(u<.01||f<.01)&&t.push({iris:o,gesture:"looking down"}),(u>.022||f>.022)&&t.push({iris:o,gesture:"looking up"}),y&&t.push({iris:o,gesture:"looking center"})}return t},Jo=e=>{if(!e)return[];let t=[];for(let o=0;o<e.length;o++){let n=[];if(e[o].annotations)for(let[r,A]of Object.entries(e[o].annotations))r!=="palmBase"&&Array.isArray(A)&&A[0]&&n.push({name:r.toLowerCase(),position:A[0]});if(n&&n.length>0){let r=n.reduce((s,a)=>(s.position[2]||0)<(a.position[2]||0)?s:a);t.push({hand:o,gesture:`${r.name} forward`});let A=n.reduce((s,a)=>s.position[1]<a.position[1]?s:a);t.push({hand:o,gesture:`${A.name} up`})}if(e[o].keypoints){let r=so(e[o].keypoints);for(let A of r)t.push({hand:o,gesture:A.name})}}return t};var z={face:[],body:[],hand:[],gesture:[],object:[],persons:[],performance:{},timestamp:0,error:null},et=0;function Qo(e,t){var s,a,i,y,c,l,x,f,u,m,M,g,b,d,P,S,w,j,C,F,Q,U,K,V,E,L0,F0;let o=h();if(!e)return{face:[],body:[],hand:[],gesture:[],object:[],persons:[],performance:{},timestamp:0,error:null};let n=Date.now()-e.timestamp,r=n<1e3?8-Math.log(n+1):1;if(e.canvas&&(z.canvas=e.canvas),e.error&&(z.error=e.error),!z.body||e.body.length!==z.body.length)z.body=JSON.parse(JSON.stringify(e.body));else for(let R=0;R<e.body.length;R++){let x0=e.body[R].box.map((W,Y)=>((r-1)*z.body[R].box[Y]+W)/r),k=e.body[R].boxRaw.map((W,Y)=>((r-1)*z.body[R].boxRaw[Y]+W)/r),$=e.body[R].keypoints.map((W,Y)=>{var 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R=0;R<e.hand.length;R++){let x0=e.hand[R].box.map((d0,W)=>((r-1)*z.hand[R].box[W]+d0)/r),k=e.hand[R].boxRaw.map((d0,W)=>((r-1)*z.hand[R].boxRaw[W]+d0)/r);z.hand[R].keypoints.length!==e.hand[R].keypoints.length&&(z.hand[R].keypoints=e.hand[R].keypoints);let $=e.hand[R].keypoints&&e.hand[R].keypoints.length>0?e.hand[R].keypoints.map((d0,W)=>d0.map((Y,oe)=>((r-1)*(z.hand[R].keypoints[W][oe]||1)+(Y||0))/r)):[],a0={};if(Object.keys(z.hand[R].annotations).length!==Object.keys(e.hand[R].annotations).length)z.hand[R].annotations=e.hand[R].annotations,a0=z.hand[R].annotations;else if(e.hand[R].annotations)for(let d0 of Object.keys(e.hand[R].annotations))a0[d0]=e.hand[R].annotations[d0]&&e.hand[R].annotations[d0][0]?e.hand[R].annotations[d0].map((W,Y)=>W.map((oe,ne)=>((r-1)*z.hand[R].annotations[d0][Y][ne]+oe)/r)):null;z.hand[R]={...e.hand[R],box:x0,boxRaw:k,keypoints:$,annotations:a0}}if(!z.face||e.face.length!==z.face.length)z.face=JSON.parse(JSON.stringify(e.face));else for(let R=0;R<e.face.length;R++){let x0=e.face[R].box.map(($,a0)=>((r-1)*z.face[R].box[a0]+$)/r),k=e.face[R].boxRaw.map(($,a0)=>((r-1)*z.face[R].boxRaw[a0]+$)/r);if(e.face[R].rotation){let $={matrix:[0,0,0,0,0,0,0,0,0],angle:{roll:0,yaw:0,pitch:0},gaze:{bearing:0,strength:0}};$.matrix=(x=e.face[R].rotation)==null?void 0:x.matrix,$.angle={roll:((r-1)*(((u=(f=z.face[R].rotation)==null?void 0:f.angle)==null?void 0:u.roll)||0)+(((M=(m=e.face[R].rotation)==null?void 0:m.angle)==null?void 0:M.roll)||0))/r,yaw:((r-1)*(((b=(g=z.face[R].rotation)==null?void 0:g.angle)==null?void 0:b.yaw)||0)+(((P=(d=e.face[R].rotation)==null?void 0:d.angle)==null?void 0:P.yaw)||0))/r,pitch:((r-1)*(((w=(S=z.face[R].rotation)==null?void 0:S.angle)==null?void 0:w.pitch)||0)+(((C=(j=e.face[R].rotation)==null?void 0:j.angle)==null?void 0:C.pitch)||0))/r},$.gaze={bearing:((r-1)*(((Q=(F=z.face[R].rotation)==null?void 0:F.gaze)==null?void 0:Q.bearing)||0)+(((K=(U=e.face[R].rotation)==null?void 0:U.gaze)==null?void 0:K.bearing)||0))/r,strength:((r-1)*(((E=(V=z.face[R].rotation)==null?void 0:V.gaze)==null?void 0:E.strength)||0)+(((F0=(L0=e.face[R].rotation)==null?void 0:L0.gaze)==null?void 0:F0.strength)||0))/r},z.face[R]={...e.face[R],rotation:$,box:x0,boxRaw:k}}z.face[R]={...e.face[R],box:x0,boxRaw:k}}if(!z.object||e.object.length!==z.object.length)z.object=JSON.parse(JSON.stringify(e.object));else for(let R=0;R<e.object.length;R++){let x0=e.object[R].box.map(($,a0)=>((r-1)*z.object[R].box[a0]+$)/r),k=e.object[R].boxRaw.map(($,a0)=>((r-1)*z.object[R].boxRaw[a0]+$)/r);z.object[R]={...e.object[R],box:x0,boxRaw:k}}if(e.persons){let R=e.persons;if(!z.persons||R.length!==z.persons.length)z.persons=JSON.parse(JSON.stringify(R));else for(let x0=0;x0<R.length;x0++)z.persons[x0].box=R[x0].box.map((k,$)=>((r-1)*z.persons[x0].box[$]+k)/r)}e.gesture&&(z.gesture=e.gesture);let A=h();return et=v.perfadd?et+Math.round(A-o):Math.round(A-o),e.performance&&(z.performance={...e.performance,interpolate:et}),z}var nt={};Se(nt,{distance:()=>S2,match:()=>ot,similarity:()=>tt});function S2(e,t,o={order:2,multiplier:25}){let n=0;for(let r=0;r<e.length;r++){let A=!o.order||o.order===2?e[r]-t[r]:Math.abs(e[r]-t[r]);n+=!o.order||o.order===2?A*A:A**o.order}return(o.multiplier||20)*n}var _o=(e,t,o,n)=>{if(e===0)return 1;let r=t===2?Math.sqrt(e):e**(1/t),A=(1-r/100-o)/(n-o);return Math.max(Math.min(A,1),0)};function tt(e,t,o={order:2,multiplier:25,min:.2,max:.8}){let n=S2(e,t,o);return _o(n,o.order||2,o.min||0,o.max||1)}function ot(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,r=-1;for(let s=0;s<t.length;s++){let a=S2(e,t[s],o);if(a<n&&(n=a,r=s),n<(o.threshold||0))break}let A=_o(n,o.order||2,o.min||0,o.max||1);return{index:r,distance:n,similarity:A}}function $o(e,t,o,n,r){var a,i,y,c,l,x,f,u,m,M,g,b,d,P,S,w;let 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$1(this,a.tensor):[],this.performance.face=this.env.perfadd?(this.performance.face||0)+Math.trunc(h()-r):Math.trunc(h()-r)),this.config.async&&(this.config.body.maxDetected===-1||this.config.hand.maxDetected===-1)&&(i=await i),this.analyze("Start Body:"),this.state="detect:body";let x=this.config.body.maxDetected===-1?r0(this.config,{body:{maxDetected:this.config.face.enabled?1*i.length:1}}):this.config;this.config.async?((M=this.config.body.modelPath)!=null&&M.includes("posenet")?y=this.config.body.enabled?B1(a.tensor,x):[]:(g=this.config.body.modelPath)!=null&&g.includes("blazepose")?y=this.config.body.enabled?_5(a.tensor,x):[]:(b=this.config.body.modelPath)!=null&&b.includes("efficientpose")?y=this.config.body.enabled?A1(a.tensor,x):[]:(d=this.config.body.modelPath)!=null&&d.includes("movenet")&&(y=this.config.body.enabled?I1(a.tensor,x):[]),this.performance.body&&delete this.performance.body):(r=h(),(P=this.config.body.modelPath)!=null&&P.includes("posenet")?y=this.config.body.enabled?await B1(a.tensor,x):[]:(S=this.config.body.modelPath)!=null&&S.includes("blazepose")?y=this.config.body.enabled?await _5(a.tensor,x):[]:(w=this.config.body.modelPath)!=null&&w.includes("efficientpose")?y=this.config.body.enabled?await A1(a.tensor,x):[]:(j=this.config.body.modelPath)!=null&&j.includes("movenet")&&(y=this.config.body.enabled?await I1(a.tensor,x):[]),this.performance.body=this.env.perfadd?(this.performance.body||0)+Math.trunc(h()-r):Math.trunc(h()-r)),this.analyze("End Body:"),this.analyze("Start Hand:"),this.state="detect:hand";let f=this.config.hand.maxDetected===-1?r0(this.config,{hand:{maxDetected:this.config.face.enabled?2*i.length:1}}):this.config;this.config.async?((F=(C=this.config.hand.detector)==null?void 0:C.modelPath)!=null&&F.includes("handdetect")?c=this.config.hand.enabled?P1(a.tensor,f):[]:(U=(Q=this.config.hand.detector)==null?void 0:Q.modelPath)!=null&&U.includes("handtrack")&&(c=this.config.hand.enabled?T1(a.tensor,f):[]),this.performance.hand&&delete this.performance.hand):(r=h(),(V=(K=this.config.hand.detector)==null?void 0:K.modelPath)!=null&&V.includes("handdetect")?c=this.config.hand.enabled?await P1(a.tensor,f):[]:(L0=(E=this.config.hand.detector)==null?void 0:E.modelPath)!=null&&L0.includes("handtrack")&&(c=this.config.hand.enabled?await T1(a.tensor,f):[]),this.performance.hand=this.env.perfadd?(this.performance.hand||0)+Math.trunc(h()-r):Math.trunc(h()-r)),this.analyze("End Hand:"),this.analyze("Start Object:"),this.state="detect:object",this.config.async?((F0=this.config.object.modelPath)!=null&&F0.includes("nanodet")?l=this.config.object.enabled?O1(a.tensor,this.config):[]:(R=this.config.object.modelPath)!=null&&R.includes("centernet")&&(l=this.config.object.enabled?t1(a.tensor,this.config):[]),this.performance.object&&delete this.performance.object):(r=h(),(x0=this.config.object.modelPath)!=null&&x0.includes("nanodet")?l=this.config.object.enabled?await O1(a.tensor,this.config):[]:(k=this.config.object.modelPath)!=null&&k.includes("centernet")&&(l=this.config.object.enabled?await t1(a.tensor,this.config):[]),this.performance.object=this.env.perfadd?(this.performance.object||0)+Math.trunc(h()-r):Math.trunc(h()-r)),this.analyze("End Object:"),this.state="detect:await",this.config.async&&([i,y,c,l]=await Promise.all([i,y,c,l])),this.state="detect:gesture";let u=[];this.config.gesture.enabled&&(r=h(),u=[...Yo(i),...Uo(y),...Jo(c),...Ko(i)],this.config.async?this.performance.gesture&&delete this.performance.gesture:this.performance.gesture=this.env.perfadd?(this.performance.gesture||0)+Math.trunc(h()-r):Math.trunc(h()-r)),this.performance.total=this.env.perfadd?(this.performance.total||0)+Math.trunc(h()-s):Math.trunc(h()-s);let m=((a0=($=this.process)==null?void 0:$.tensor)==null?void 0:a0.shape)||[];this.result={face:i,body:y,hand:c,gesture:u,object:l,performance:this.performance,canvas:this.process.canvas,timestamp:Date.now(),error:null,get persons(){return $o(i,y,c,u,m)}},Q0.dispose(a.tensor),this.emit("detect"),this.state="idle",n(this.result)})}};d2=new WeakMap,C2=new WeakMap,j2=new WeakMap,T5=new WeakMap;0&&(module.exports={Human,defaults,draw,env,match,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
*/