human.node.js

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

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ha={};ze(ha,{Env:()=>E2,Human:()=>k1,default:()=>k1,defaults:()=>Ke,draw:()=>nt,empty:()=>Te,env:()=>R,match:()=>Ot,models:()=>P1});module.exports=Zo(ha);var de=G(H());function h(...e){let t=new Date,n=`${t.getHours().toString().padStart(2,"0")}:${t.getMinutes().toString().padStart(2,"0")}:${t.getSeconds().toString().padStart(2,"0")}.${t.getMilliseconds().toString().padStart(3,"0")}`;e&&console.log(n,"Human:",...e)}function L1(e,t){let n=e.endsWith("/")?"":"/",r=t.startsWith(".")||t.startsWith("/")||t.startsWith("http:")||t.startsWith("https:")||t.startsWith("file:")?`${t}`:`${e}${n}${t}`;if(!r.toLocaleLowerCase().includes(".json"))throw new Error(`modelpath error: expecting json file: ${r}`);return r}var v=()=>typeof performance!="undefined"?performance.now():parseInt((Number(process.hrtime.bigint())/1e3/1e3).toString());function Jt(e,t,n="config",o=[]){for(let r of Object.keys(t))if(typeof t[r]=="object")Jt(e[r],t[r],r,o);else{let s=e&&typeof 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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 C1=`
  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];
  }
`,W1=`
  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;
  }
`,D1=`
  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);
  }
`,F1=`
  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;
  }
`,B1=`
  precision highp float;
  varying vec2 vUv;
  uniform sampler2D texture;
  uniform vec2 px;
  uniform float m[9];
  void main(void) {
    vec4 c11 = texture2D(texture, vUv - px); // top left
    vec4 c12 = texture2D(texture, vec2(vUv.x, vUv.y - px.y)); // top center
    vec4 c13 = texture2D(texture, vec2(vUv.x + px.x, vUv.y - px.y)); // top right
    vec4 c21 = texture2D(texture, vec2(vUv.x - px.x, vUv.y) ); // mid left
    vec4 c22 = texture2D(texture, vUv); // mid center
    vec4 c23 = texture2D(texture, vec2(vUv.x + px.x, vUv.y) ); // mid right
    vec4 c31 = texture2D(texture, vec2(vUv.x - px.x, vUv.y + px.y) ); // bottom left
    vec4 c32 = texture2D(texture, vec2(vUv.x, vUv.y + px.y) ); // bottom center
    vec4 c33 = texture2D(texture, vUv + px ); // bottom right
    gl_FragColor = 
    c11 * m[0] + c12 * m[1] + c22 * m[2] +
    c21 * m[3] + c22 * m[4] + c23 * m[5] +
    c31 * m[6] + c32 * m[7] + c33 * m[8];
    gl_FragColor.a = c22.a;
  }
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x=[U.sub(n[0],o[0]),U.sub(n[1],o[1]),U.sub(n[2],o[2])],i=[U.sub(r[0],o[0]),U.sub(r[1],o[1]),U.sub(r[2],o[2])],f=[U.mul(x[0],l),U.mul(x[1],l),U.mul(x[2],l)],d=U.stack([f[0],f[1],f[2]],2);c=U.reshape(d,[1,t.shape[0]||0,t.shape[1]||0,3]),U.dispose([...x,...i,...f,d])}else c=U.expandDims(t,0);return U.dispose([...n,...o,...r,n,t,e]),c}var X2=3840,R0=null,M0=null,y2=null,e0,ne={inputSum:0,cacheDiff:1,sumMethod:0,inputTensor:void 0};function $t(){ne.inputSum=0,ne.cacheDiff=1,ne.sumMethod=0,ne.inputTensor=void 0}function Ae(e,t){let n;if(R.browser)if(R.worker){if(typeof OffscreenCanvas=="undefined")throw new Error("canvas error: attempted to run in web worker but OffscreenCanvas is not supported");n=new OffscreenCanvas(e,t)}else if(typeof document!="undefined")n=document.createElement("canvas"),n.width=e,n.height=t;else if(typeof navigator!="undefined"&&navigator.product==="ReactNative")if(typeof R.Canvas!="undefined")n=new R.Canvas(e,t);else if(typeof globalThis.Canvas!="undefined")n=new 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HTMLVideoElement!="undefined"&&e instanceof HTMLVideoElement)&&!(typeof HTMLCanvasElement!="undefined"&&e instanceof HTMLCanvasElement)&&!(typeof OffscreenCanvas!="undefined"&&e instanceof OffscreenCanvas))throw new Error("input error: type not recognized");if(e instanceof I.Tensor){let y=null;if(e.isDisposedInternal)throw new Error("input error: attempted to use tensor but it is disposed");if(!e.shape)throw new Error("input error: attempted to use tensor without a shape");if(e.shape.length===3){if(e.shape[2]===3)y=I.expandDims(e,0);else if(e.shape[2]===4){let u=I.slice3d(e,[0,0,0],[-1,-1,3]);y=I.expandDims(u,0),I.dispose(u)}}else e.shape.length===4&&(e.shape[3]===3?y=I.clone(e):e.shape[3]===4&&(y=I.slice4d(e,[0,0,0,0],[-1,-1,-1,3])));if(y==null||y.shape.length!==4||y.shape[0]!==1||y.shape[3]!==3)throw new Error(`input error: attempted to use tensor with unrecognized shape: ${e.shape.toString()}`);if(y.dtype==="int32"){let u=I.cast(y,"float32");I.dispose(y),y=u}return{tensor:y,canvas:t.filter.return?M0:null}}if(typeof e.readyState!="undefined"&&e.readyState<=2)return t.debug&&h("input stream is not ready"),{tensor:null,canvas:R0};let o=e.naturalWidth||e.videoWidth||e.width||e.shape&&e.shape[1]>0,r=e.naturalHeight||e.videoHeight||e.height||e.shape&&e.shape[2]>0;if(!o||!r)return t.debug&&h("cannot determine input dimensions"),{tensor:null,canvas:R0};let s=o,A=r;if(s>X2&&(s=X2,A=Math.trunc(s*r/o)),A>X2&&(A=X2,s=Math.trunc(A*o/r)),(((f=t.filter)==null?void 0:f.width)||0)>0?s=t.filter.width:(((d=t.filter)==null?void 0:d.height)||0)>0&&(s=o*((t.filter.height||0)/r)),(t.filter.height||0)>0?A=t.filter.height:(t.filter.width||0)>0&&(A=r*((t.filter.width||0)/o)),!s||!A)throw new Error("input error: cannot determine dimension");(!R0||R0.width!==s||R0.height!==A)&&(R0=Ae(s,A));let a=R0.getContext("2d");if(typeof ImageData!="undefined"&&e instanceof ImageData?a.putImageData(e,0,0):t.filter.flip&&typeof 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H1:null),R.filter=!!e0,e0!=null&&e0.add?(e0.reset(),t.filter.brightness!==0&&e0.add("brightness",t.filter.brightness),t.filter.contrast!==0&&e0.add("contrast",t.filter.contrast),t.filter.sharpness!==0&&e0.add("sharpen",t.filter.sharpness),t.filter.blur!==0&&e0.add("blur",t.filter.blur),t.filter.saturation!==0&&e0.add("saturation",t.filter.saturation),t.filter.hue!==0&&e0.add("hue",t.filter.hue),t.filter.negative&&e0.add("negative"),t.filter.sepia&&e0.add("sepia"),t.filter.vintage&&e0.add("brownie"),t.filter.sepia&&e0.add("sepia"),t.filter.kodachrome&&e0.add("kodachrome"),t.filter.technicolor&&e0.add("technicolor"),t.filter.polaroid&&e0.add("polaroid"),t.filter.pixelate!==0&&e0.add("pixelate",t.filter.pixelate),((m=e0.get())==null?void 0:m.length)>1?M0=e0.apply(R0):M0=e0.draw(R0)):(t.debug&&h("input process error: cannot initialize filters"),R.webgl.supported=!1,t.filter.enabled=!1,q2(R0,M0))):(q2(R0,M0),e0&&(e0=null),R.filter=!!e0),!n)return{tensor:null,canvas:M0};if(!M0)throw new 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0,flags:[]});w(this,"kernels",[]);ue(this,z2,void 0);ue(this,S2,void 0);ue(this,j2,void 0);if(this.browser=typeof navigator!="undefined",this.node=typeof process!="undefined"&&typeof process.versions!="undefined"&&typeof process.versions.node!="undefined",this.tfjs={version:W0.version["tfjs-core"]},this.offscreen=typeof OffscreenCanvas!="undefined",this.initial=!0,this.worker=this.browser&&this.offscreen?typeof WorkerGlobalScope!="undefined":void 0,typeof navigator!="undefined"&&typeof navigator.userAgent!="undefined"){let t=navigator.userAgent||"",n=t.match(/\(([^()]+)\)/g);if(n!=null&&n[0]){let o=n[0].match(/\(([^()]+)\)/g);this.platform=o!=null&&o[0]?o[0].replace(/\(|\)/g,""):"",this.agent=t.replace(n[0],""),this.platform[1]&&(this.agent=this.agent.replace(n[1],"")),this.agent=this.agent.replace(/  /g," ")}}else typeof process!="undefined"&&(this.platform=`${process.platform} ${process.arch}`,this.agent=`NodeJS ${process.version}`)}get Canvas(){return Y0(this,z2)}set 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n!="undefined",this.webgl.backend=this.backends.includes("webgl"),this.webgl.supported&&this.webgl.backend&&n&&(this.webgl.version=n.getParameter(n.VERSION),this.webgl.vendor=n.getParameter(n.VENDOR),this.webgl.renderer=n.getParameter(n.RENDERER),this.webgl.shader=n.getParameter(n.SHADING_LANGUAGE_VERSION)),this.webgpu.supported=this.browser&&typeof navigator!="undefined"&&typeof navigator.gpu!="undefined",this.webgpu.backend=this.backends.includes("webgpu");try{if(this.webgpu.supported){let o=await navigator.gpu.requestAdapter();this.webgpu.adapter=await(o==null?void 0:o.requestAdapterInfo())}}catch(o){this.webgpu.supported=!1}try{this.kernels=W0.getKernelsForBackend(W0.getBackend()).map(o=>o.kernelName.toLowerCase())}catch(o){}}updateCPU(){let t={model:"",flags:[]};this.node&&this.platform.startsWith("linux"),this.cpu?this.cpu=t:Object.defineProperty(this,"cpu",{value:t})}};z2=new WeakMap,S2=new WeakMap,j2=new WeakMap;var R=new E2;var K2=class{constructor(){w(this,"config");w(this,"element");w(this,"stream");w(this,"devices",[]);w(this,"enumerate",async()=>{try{let t=await navigator.mediaDevices.enumerateDevices();this.devices=t.filter(n=>n.kind==="videoinput")}catch(t){this.devices=[]}return this.devices});w(this,"start",async t=>{var r,s;if(t!=null&&t.debug&&(this.config.debug=t==null?void 0:t.debug),t!=null&&t.crop&&(this.config.crop=t==null?void 0:t.crop),t!=null&&t.mode&&(this.config.mode=t==null?void 0:t.mode),t!=null&&t.width&&(this.config.width=t==null?void 0:t.width),t!=null&&t.height&&(this.config.height=t==null?void 0:t.height),t!=null&&t.id&&(this.config.id=t==null?void 0:t.id),t!=null&&t.element)if(typeof t.element=="string"){let A=document.getElementById(t.element);if(A&&A instanceof HTMLVideoElement)this.element=A;else{this.config.debug&&h("webcam","cannot get dom element",t.element);return}}else if(t.element instanceof 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navigator.mediaDevices.getUserMedia(n)}catch(A){h("webcam",A);return}if(!this.stream){this.config.debug&&h("webcam","no stream");return}this.element.srcObject=this.stream,await new Promise(A=>{this.element?this.element.onloadeddata=()=>A(!0):A(!1)}),await this.element.play(),this.config.debug&&h("webcam",{width:this.width,height:this.height,label:this.label,stream:this.stream,track:this.track,settings:this.settings,constraints:this.constraints,capabilities:this.capabilities})});w(this,"pause",()=>{this.element&&this.element.pause()});w(this,"play",async()=>{this.element&&await this.element.play()});w(this,"stop",()=>{this.config.debug&&h("webcam","stop"),this.track&&this.track.stop()});this.config={element:void 0,debug:!0,mode:"front",crop:!1,width:0,height:0}}get track(){if(this.stream)return this.stream.getVideoTracks()[0]}get capabilities(){if(this.track)return this.track.getCapabilities?this.track.getCapabilities():void 0}get constraints(){if(this.track)return 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o={};[o.ld,o.segmentation,o.heatmap,o.world,o.poseflag]=Z0==null?void 0:Z0.execute(e,eA.landmarks);let r=(await o.poseflag.data())[0],s=await o.ld.data(),A=await o.world.data();Object.keys(o).forEach(m=>X0.dispose(o[m]));let a=[],l=5;for(let m=0;m<s.length/l;m++){let y=o3(s[l*m+3]),u=o3(s[l*m+4]),T=Math.trunc(100*y*u*r)/100,g=[s[l*m+0]/x5,s[l*m+1]/x5,s[l*m+2]+0],p=[Math.trunc(n[0]*g[0]),Math.trunc(n[1]*g[1]),g[2]],b=[A[l*m+0],A[l*m+1],A[l*m+2]+0];a.push({part:l5[m],positionRaw:g,position:p,distance:b,score:T})}if(r<(t.body.minConfidence||0))return null;nA(a);let c=tA(a,n),x=c.map(m=>m.position),i=Le(x,[n[0],n[1]]),f={};for(let[m,y]of Object.entries(c5)){let u=[];for(let T=0;T<y.length-1;T++){let g=c.find(b=>b.part===y[T]),p=c.find(b=>b.part===y[T+1]);g&&p&&u.push([g.position,p.position])}f[m]=u}return{id:0,score:Math.trunc(100*r)/100,box:i.box,boxRaw:i.boxRaw,keypoints:c,annotations:f}}async function y5(e,t){var s,A,a;let 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t=e===192?{strides:[4],anchors:[1]}:{strides:[e/16,e/8],anchors:[2,6]},n=[];for(let o=0;o<t.strides.length;o++){let r=t.strides[o],s=Math.floor((e+r-1)/r),A=Math.floor((e+r-1)/r),a=t.anchors[o];for(let l=0;l<s;l++){let c=r*(l+.5);for(let x=0;x<A;x++){let i=r*(x+.5);for(let f=0;f<a;f++)n.push([i,c])}}}return n}function g3(e,t,n,o,r){let s=p2(t),A=e.map(d=>[s[0]/r*(d[0]-r/2),s[1]/r*(d[1]-r/2),d[2]||0]),a=n&&n!==0&&Math.abs(n)>.2,l=a?h3(n,[0,0]):v5,c=a?A.map(d=>[...cA(d,l),d[2]]):A,x=a?lA(o):v5,i=lt(t),f=[r2(i,x[0]),r2(i,x[1])];return c.map(d=>[Math.trunc(d[0]+f[0]),Math.trunc(d[1]+f[1]),Math.trunc(d[2]||0)])}function T3(e,t,n,o){let r=t.landmarks.length>=r5.count?r5.symmetryLine:_e.symmetryLine,s=0,A=v5,a;if(e&&R.kernels.includes("rotatewithoffset"))if(s=aA(t.landmarks[r[0]],t.landmarks[r[1]]),s&&s!==0&&Math.abs(s)>.2){let c=lt(t),x=[c[0]/n.shape[2],c[1]/n.shape[1]],i=Me.image.rotateWithOffset(n,s,0,[x[0],x[1]]);A=h3(-s,c),a=T5(t,i,[o,o]),Me.dispose(i)}else a=T5(t,n,[o,o]);else a=T5(t,n,[o,o]);return[s,A,a]}var dA=e=>{let t=e.map(o=>o[0]),n=e.map(o=>o[1]);return[Math.min(...t)+(Math.max(...t)-Math.min(...t))/2,Math.min(...n)+(Math.max(...n)-Math.min(...n))/2]},v3=(e,t)=>{let n=dA(e),o=p2(t);return{startPoint:[n[0]-o[0]/2,n[1]-o[1]/2],endPoint:[n[0]+o[0]/2,n[1]+o[1]/2]}};var R3=6,xA=1.4,xe,ft=null,Ce=0,u2=null,M3=()=>Ce;async function P3(e){var t;return R.initial&&(xe=null),xe?e.debug&&h("cached model:",xe.modelUrl):xe=await L((t=e.face.detector)==null?void 0:t.modelPath),Ce=xe.executor&&xe.inputs[0].shape?xe.inputs[0].shape[2]:256,u2=O.scalar(Ce,"int32"),ft=O.tensor2d(b3(Ce)),xe}function yA(e){if(!ft||!u2)return O.zeros([0,0]);let t={};t.boxStarts=O.slice(e,[0,1],[-1,2]),t.centers=O.add(t.boxStarts,ft),t.boxSizes=O.slice(e,[0,3],[-1,2]),t.boxSizesNormalized=O.div(t.boxSizes,u2),t.centersNormalized=O.div(t.centers,u2),t.halfBoxSize=O.div(t.boxSizesNormalized,C.tf2),t.starts=O.sub(t.centersNormalized,t.halfBoxSize),t.ends=O.add(t.centersNormalized,t.halfBoxSize),t.startNormalized=O.mul(t.starts,u2),t.endNormalized=O.mul(t.ends,u2);let n=O.concat2d([t.startNormalized,t.endNormalized],1);return Object.keys(t).forEach(o=>O.dispose(t[o])),n}async function k3(e,t){var a,l,c,x,i,f;if(!e||e.isDisposedInternal||e.shape.length!==4||e.shape[1]<1||e.shape[2]<1)return[];let n={};n.resized=O.image.resizeBilinear(e,[Ce,Ce]),n.div=O.div(n.resized,C.tf127),n.normalized=O.sub(n.div,C.tf05);let o=xe==null?void 0:xe.execute(n.normalized);if(Array.isArray(o)&&o.length>2){let d=o.sort((m,y)=>m.size-y.size);n.concat384=O.concat([d[0],d[2]],2),n.concat512=O.concat([d[1],d[3]],2),n.concat=O.concat([n.concat512,n.concat384],1),n.batch=O.squeeze(n.concat,[0])}else Array.isArray(o)?n.batch=O.squeeze(o[0]):n.batch=O.squeeze(o);O.dispose(o),n.boxes=yA(n.batch),n.logits=O.slice(n.batch,[0,0],[-1,1]),n.sigmoid=O.sigmoid(n.logits),n.scores=O.squeeze(n.sigmoid),n.nms=await O.image.nonMaxSuppressionAsync(n.boxes,n.scores,((a=t.face.detector)==null?void 0:a.maxDetected)||0,((l=t.face.detector)==null?void 0:l.iouThreshold)||0,((c=t.face.detector)==null?void 0:c.minConfidence)||0);let r=await n.nms.array(),s=[],A=await n.scores.data();for(let d=0;d<r.length;d++){let m=A[r[d]];if(m>(((x=t.face.detector)==null?void 0:x.minConfidence)||0)){let y={};y.bbox=O.slice(n.boxes,[r[d],0],[1,-1]),y.slice=O.slice(n.batch,[r[d],R3-1],[1,-1]),y.squeeze=O.squeeze(y.slice),y.landmarks=O.reshape(y.squeeze,[R3,-1]);let u=await y.bbox.data(),T={startPoint:[u[0],u[1]],endPoint:[u[2],u[3]],landmarks:await y.landmarks.array(),confidence:m};y.anchor=O.slice(ft,[r[d],0],[1,2]);let g=await y.anchor.data(),p=p3(T,[(e.shape[2]||0)/Ce,(e.shape[1]||0)/Ce],g),b=xt(p,t.face.scale||xA),k=yt(b);k.size[0]>(((i=t.face.detector)==null?void 0:i.minSize)||0)&&k.size[1]>(((f=t.face.detector)==null?void 0:f.minSize)||0)&&s.push(k),Object.keys(y).forEach(P=>O.dispose(y[P]))}}return Object.keys(n).forEach(d=>O.dispose(n[d])),s}var ye=G(H());var K0,We=0,fA=2.3,M5=ae.leftEyeLower0,P5=ae.rightEyeLower0,h2={leftBounds:[M5[0],M5[M5.length-1]],rightBounds:[P5[0],P5[P5.length-1]]},b2={upperCenter:3,lowerCenter:4,index:71,numCoordinates:76};async function j3(e){var t,n;return R.initial&&(K0=null),K0?e.debug&&h("cached model:",K0.modelUrl):K0=await L((t=e.face.iris)==null?void 0:t.modelPath),We=K0!=null&&K0.executor&&((n=K0.inputs)!=null&&n[0].shape)?K0.inputs[0].shape[2]:0,We===-1&&(We=64),K0}function mt(e,t,n,o){for(let r=0;r<s5.length;r++){let{key:s,indices:A}=s5[r],a=ae[`${n}${s}`];if(!o||o.includes(s))for(let l=0;l<A.length;l++){let c=A[l];e[a[l]]=[t[c][0],t[c][1],(t[c][2]+e[a[l]][2])/2]}}}var mA=e=>{let t=e[h2.leftBounds[0]][2],n=e[h2.rightBounds[0]][2];return t-n},E3=(e,t,n,o,r,s=!1)=>{let A=yt(xt(u3([e[n],e[o]]),fA)),a=p2(A),l=ye.image.cropAndResize(t,[[A.startPoint[1]/r,A.startPoint[0]/r,A.endPoint[1]/r,A.endPoint[0]/r]],[0],[We,We]);if(s&&R.kernels.includes("flipleftright")){let c=ye.image.flipLeftRight(l);ye.dispose(l),l=c}return{box:A,boxSize:a,crop:l}},z3=(e,t,n,o=!1)=>{let r=[];for(let s=0;s<b2.numCoordinates;s++){let A=e[s*3],a=e[s*3+1],l=e[s*3+2];r.push([(o?1-A/We:A/We)*n[0]+t.startPoint[0],a/We*n[1]+t.startPoint[1],l])}return{rawCoords:r,iris:r.slice(b2.index)}},S3=(e,t,n)=>{let o=e[ae[`${n}EyeUpper0`][b2.upperCenter]][2],r=e[ae[`${n}EyeLower0`][b2.lowerCenter]][2],s=(o+r)/2;return t.map((A,a)=>{let l=s;return a===2?l=o:a===4&&(l=r),[A[0],A[1],l]})};async function I3(e,t,n){if(!(K0!=null&&K0.executor))return e;let{box:o,boxSize:r,crop:s}=E3(e,t,h2.leftBounds[0],h2.leftBounds[1],n,!0),{box:A,boxSize:a,crop:l}=E3(e,t,h2.rightBounds[0],h2.rightBounds[1],n,!0),c=ye.concat([s,l]);ye.dispose(s),ye.dispose(l);let x=K0.execute(c);ye.dispose(c);let i=await x.data();ye.dispose(x);let f=i.slice(0,b2.numCoordinates*3),{rawCoords:d,iris:m}=z3(f,o,r,!0),y=i.slice(b2.numCoordinates*3),{rawCoords:u,iris:T}=z3(y,A,a,!1),g=mA(e);Math.abs(g)<30?(mt(e,d,"left",null),mt(e,u,"right",null)):g<1?mt(e,d,"left",["EyeUpper0","EyeLower0"]):mt(e,u,"right",["EyeUpper0","EyeLower0"]);let p=S3(e,m,"left"),b=S3(e,T,"right");return e.concat(p).concat(b)}async function L3(e,t){var s,A,a,l,c,x,i,f,d,m;let n={lips:await((A=(s=t.filter(y=>y.size===160))==null?void 0:s[0])==null?void 0:A.data()),irisL:await((l=(a=t.filter(y=>y.size===10))==null?void 0:a[0])==null?void 0:l.data()),eyeL:await((x=(c=t.filter(y=>y.size===142))==null?void 0:c[0])==null?void 0:x.data()),irisR:await((f=(i=t.filter(y=>y.size===10))==null?void 0:i[1])==null?void 0:f.data()),eyeR:await((m=(d=t.filter(y=>y.size===142))==null?void 0:d[1])==null?void 0:m.data())};for(let y of Object.values(n))if(!y)return e;let o=e2.reduce((y,u)=>y+=e[u][2],0)/e2.length;for(let y=0;y<n.irisL.length/2;y++)e.push([n.irisL[2*y+0],n.irisL[2*y+1],o]);let r=t2.reduce((y,u)=>y+=e[u][2],0)/t2.length;for(let y=0;y<n.irisR.length/2;y++)e.push([n.irisR[2*y+0],n.irisR[2*y+1],r]);for(let y=0;y<n.eyeL.length/2;y++)e[e2[y]]=[n.eyeL[2*y+0],n.eyeL[2*y+1],e[e2[y]][2]];for(let y=0;y<n.eyeR.length/2;y++)e[t2[y]]=[n.eyeR[2*y+0],n.eyeR[2*y+1],e[t2[y]][2]];for(let y=0;y<n.lips.length/2;y++)e[L2[y]]=[n.lips[2*y+0],n.lips[2*y+1],e[L2[y]][2]];return e}var ge={boxes:[],skipped:Number.MAX_SAFE_INTEGER,timestamp:0},r0=null,O2=0;async function O3(e,t){var l,c,x,i,f,d,m,y,u,T;let n=(((l=t.face.detector)==null?void 0:l.skipTime)||0)>v()-ge.timestamp,o=ge.skipped<(((c=t.face.detector)==null?void 0:c.skipFrames)||0);!t.skipAllowed||!n||!o||ge.boxes.length===0?(ge.boxes=await k3(e,t),ge.timestamp=v(),ge.skipped=0):ge.skipped++;let r=[],s=[],A=0,a=O2;for(let g=0;g<ge.boxes.length;g++){let p=ge.boxes[g],b=0,k,P={id:A++,mesh:[],meshRaw:[],box:[0,0,0,0],boxRaw:[0,0,0,0],score:0,boxScore:0,faceScore:0,size:[0,0],annotations:{}};if([b,k,P.tensor]=T3((x=t.face.detector)==null?void 0:x.rotation,p,e,(i=t.face.mesh)!=null&&i.enabled?O2:M3()),t.filter.equalization){let N=P.tensor?await Z2(P.tensor):void 0;De.dispose(P.tensor),N&&(P.tensor=N)}if(P.boxScore=Math.round(100*p.confidence)/100,!((f=t.face.mesh)!=null&&f.enabled)||!(r0!=null&&r0.executor)){P.box=ct(p,e),P.boxRaw=dt(p,e),P.score=P.boxScore,P.size=p.size,P.mesh=p.landmarks,P.meshRaw=P.mesh.map(N=>[N[0]/(e.shape[2]||0),N[1]/(e.shape[1]||0),(N[2]||0)/a]);for(let N of Object.keys(_e))P.annotations[N]=[P.mesh[_e[N]]]}else if(!r0)t.debug&&h("face mesh detection requested, but model is not loaded");else{if((d=t.face.attention)!=null&&d.enabled&&!R.kernels.includes("atan2"))return t.face.attention.enabled=!1,De.dispose(P.tensor),r;let N=r0.execute(P.tensor),_=await N.find(Z=>Z.shape[Z.shape.length-1]===1).data();if(P.faceScore=Math.round(100*_[0])/100,P.faceScore<(((m=t.face.detector)==null?void 0:m.minConfidence)||1)){if(p.confidence=P.faceScore,t.face.mesh.keepInvalid){P.box=ct(p,e),P.boxRaw=dt(p,e),P.score=P.boxScore,P.mesh=p.landmarks,P.meshRaw=P.mesh.map(Z=>[Z[0]/(e.shape[2]||1),Z[1]/(e.shape[1]||1),(Z[2]||0)/a]);for(let Z of Object.keys(_e))P.annotations[Z]=[P.mesh[_e[Z]]]}}else{let Z=N.find(t0=>t0.shape[t0.shape.length-1]===1404),$=De.reshape(Z,[-1,3]),A0=await $.array();De.dispose($),(y=t.face.attention)!=null&&y.enabled?A0=await L3(A0,N):(u=t.face.iris)!=null&&u.enabled&&(A0=await I3(A0,P.tensor,O2)),P.mesh=g3(A0,p,b,k,O2),P.meshRaw=P.mesh.map(t0=>[t0[0]/(e.shape[2]||0),t0[1]/(e.shape[1]||0),(t0[2]||0)/a]);for(let t0 of Object.keys(ae))P.annotations[t0]=ae[t0].map(j0=>P.mesh[j0]);P.score=P.faceScore;let n0={...v3(P.mesh,p),confidence:p.confidence,landmarks:p.landmarks,size:p.size};P.box=ct(n0,e),P.boxRaw=dt(n0,e),s.push(n0)}De.dispose(N)}P.score>(((T=t.face.detector)==null?void 0:T.minConfidence)||1)?r.push(P):De.dispose(P.tensor)}return ge.boxes=s,r}async function C3(e){var t,n,o,r,s,A;return R.initial&&(r0=null),(t=e.face.attention)!=null&&t.enabled&&(r0!=null&&r0.signature)&&Object.keys(((n=r0==null?void 0:r0.signature)==null?void 0:n.outputs)||{}).length<6&&(r0=null),r0?e.debug&&h("cached model:",r0.modelUrl):(o=e.face.attention)!=null&&o.enabled?r0=await L(e.face.attention.modelPath):r0=await L((r=e.face.mesh)==null?void 0:r.modelPath),O2=r0.executor&&((s=r0==null?void 0:r0.inputs)!=null&&s[0].shape)?(A=r0==null?void 0:r0.inputs)==null?void 0:A[0].shape[2]:256,r0}var W3=$e,D3=N2;var J0=G(H());var E5=[],P0,pt=[],F3=0,B3=0,w5=Number.MAX_SAFE_INTEGER,z5=!1;async function H3(e){var t,n,o;return R.initial&&(P0=null),P0?e.debug&&h("cached model:",P0.modelUrl):(P0=await L((t=e.face.emotion)==null?void 0:t.modelPath),z5=((o=(n=P0==null?void 0:P0.inputs)==null?void 0:n[0].shape)==null?void 0:o[3])===3,z5?E5=["angry","disgust","fear","happy","neutral","sad","surprise"]:E5=["angry","disgust","fear","happy","sad","surprise","neutral"]),P0}async function S5(e,t,n,o){var A,a;if(!P0)return[];let r=w5<(((A=t.face.emotion)==null?void 0:A.skipFrames)||0),s=(((a=t.face.emotion)==null?void 0:a.skipTime)||0)>v()-B3;return t.skipAllowed&&s&&r&&F3===o&&pt[n]&&pt[n].length>0?(w5++,pt[n]):(w5=0,new Promise(async l=>{var x,i,f;let c=[];if((x=t.face.emotion)!=null&&x.enabled){let d={},m=P0!=null&&P0.inputs[0].shape?P0.inputs[0].shape[2]:0;if(((i=t.face.emotion)==null?void 0:i.crop)>0){let u=(f=t.face.emotion)==null?void 0:f.crop,T=[[u,u,1-u,1-u]];d.resize=J0.image.cropAndResize(e,T,[0],[m,m])}else d.resize=J0.image.resizeBilinear(e,[m,m],!1);z5?(d.mul=J0.mul(d.resize,255),d.normalize=J0.sub(d.mul,[103.939,116.779,123.68]),d.emotion=P0==null?void 0:P0.execute(d.normalize)):(d.channels=J0.mul(d.resize,C.rgb),d.grayscale=J0.sum(d.channels,3,!0),d.grayscaleSub=J0.sub(d.grayscale,C.tf05),d.grayscaleMul=J0.mul(d.grayscaleSub,C.tf2),d.emotion=P0==null?void 0:P0.execute(d.grayscaleMul)),B3=v();let y=await d.emotion.data();for(let u=0;u<y.length;u++)y[u]>(t.face.emotion.minConfidence||0)&&c.push({score:Math.min(.99,Math.trunc(100*y[u])/100),emotion:E5[u]});c.sort((u,T)=>T.score-u.score),Object.keys(d).forEach(u=>J0.dispose(d[u]))}pt[n]=c,F3=o,l(c)}))}var ie=G(H());var k0,Fe=[],V3=0,Z3=0,j5=Number.MAX_SAFE_INTEGER;async function X3(e){var t;return R.initial&&(k0=null),k0?e.debug&&h("cached model:",k0.modelUrl):k0=await L((t=e.face.description)==null?void 0:t.modelPath),k0}function uA(e,t){var s,A;let n=e.image||e.tensor||e;if(!(k0!=null&&k0.inputs[0].shape))return n;let o;if(((s=t.face.description)==null?void 0:s.crop)>0){let a=(A=t.face.description)==null?void 0:A.crop,l=[[a,a,1-a,1-a]];o=ie.image.cropAndResize(n,l,[0],[k0.inputs[0].shape[2],k0.inputs[0].shape[1]])}else o=ie.image.resizeBilinear(n,[k0.inputs[0].shape[2],k0.inputs[0].shape[1]],!1);let r=ie.mul(o,C.tf255);return ie.dispose(o),r}async function I5(e,t,n,o){var a,l,c,x;let r={age:0,gender:"unknown",genderScore:0,descriptor:[]};if(!(k0!=null&&k0.executor))return r;let s=j5<(((a=t.face.description)==null?void 0:a.skipFrames)||0),A=(((l=t.face.description)==null?void 0:l.skipTime)||0)>v()-V3;return t.skipAllowed&&s&&A&&Z3===o&&((c=Fe==null?void 0:Fe[n])==null?void 0:c.age)>0&&((x=Fe==null?void 0:Fe[n])==null?void 0:x.genderScore)>0?(j5++,Fe[n]):(j5=0,new Promise(async i=>{var f;if((f=t.face.description)!=null&&f.enabled){let d=uA(e,t),m=k0==null?void 0:k0.execute(d);V3=v(),ie.dispose(d);let u=await 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c=ht.image.resizeBilinear(e,[w0!=null&&w0.inputs[0].shape?w0.inputs[0].shape[2]:0,w0!=null&&w0.inputs[0].shape?w0.inputs[0].shape[1]:0],!1),x=w0==null?void 0:w0.execute(c),i=(await x.data())[0];ut[n]=Math.round(100*i)/100,Y3=o,K3=v(),ht.dispose([c,x]),l(ut[n])}))}var gt=G(H());var E0,bt=[],C5=Number.MAX_SAFE_INTEGER,_3=0,$3=0;async function en(e){var t;return R.initial&&(E0=null),E0?e.debug&&h("cached model:",E0.modelUrl):E0=await L((t=e.face.liveness)==null?void 0:t.modelPath),E0}async function W5(e,t,n,o){var A,a;if(!(E0!=null&&E0.executor))return 0;let r=(((A=t.face.liveness)==null?void 0:A.skipTime)||0)>v()-$3,s=C5<(((a=t.face.liveness)==null?void 0:a.skipFrames)||0);return t.skipAllowed&&r&&s&&_3===o&&bt[n]?(C5++,bt[n]):(C5=0,new Promise(async l=>{let c=gt.image.resizeBilinear(e,[E0!=null&&E0.inputs[0].shape?E0.inputs[0].shape[2]:0,E0!=null&&E0.inputs[0].shape?E0.inputs[0].shape[1]:0],!1),x=E0==null?void 0:E0.execute(c),i=(await x.data())[0];bt[n]=Math.round(100*i)/100,_3=o,$3=v(),gt.dispose([c,x]),l(bt[n])}))}var Tt=G(H());var le,D5=[],gA=["white","black","asian","indian","other"],TA=[15,23,28,35.5,45.5,55.5,65],nn=0,on=0,F5=Number.MAX_SAFE_INTEGER;async function rn(e){var t;return R.initial&&(le=null),le?e.debug&&h("cached model:",le.modelUrl):le=await L((t=e.face.gear)==null?void 0:t.modelPath),le}async function B5(e,t,n,o){var A,a;if(!le)return{age:0,gender:"unknown",genderScore:0,race:[]};let r=F5<(((A=t.face.gear)==null?void 0:A.skipFrames)||0),s=(((a=t.face.gear)==null?void 0:a.skipTime)||0)>v()-on;return t.skipAllowed&&s&&r&&nn===o&&D5[n]?(F5++,D5[n]):(F5=0,new Promise(async l=>{var T,g,p,b;if(!(le!=null&&le.inputs[0].shape))return;let c={},x=[[0,.1,.9,.9]];if(((T=t.face.gear)==null?void 0:T.crop)>0){let k=(g=t.face.gear)==null?void 0:g.crop;x=[[k,k,1-k,1-k]]}c.resize=Tt.image.cropAndResize(e,x,[0],[le.inputs[0].shape[2],le.inputs[0].shape[1]]);let i={age:0,gender:"unknown",genderScore:0,race:[]};(p=t.face.gear)!=null&&p.enabled&&([c.age,c.gender,c.race]=le.execute(c.resize,["age_output","gender_output","race_output"]));let f=await c.gender.data();i.gender=f[0]>f[1]?"male":"female",i.genderScore=Math.round(100*(f[0]>f[1]?f[0]:f[1]))/100;let d=await c.race.data();for(let k=0;k<d.length;k++)d[k]>(((b=t.face.gear)==null?void 0:b.minConfidence)||.2)&&i.race.push({score:Math.round(100*d[k])/100,race:gA[k]});i.race.sort((k,P)=>P.score-k.score);let y=Array.from(await c.age.data()).map((k,P)=>[TA[P],k]).sort((k,P)=>P[1]-k[1]),u=y[0][0];for(let k=1;k<y.length;k++)u+=y[k][1]*(y[k][0]-u);i.age=Math.round(10*u)/10,Object.keys(c).forEach(k=>Tt.dispose(c[k])),D5[n]=i,nn=o,on=v(),l(i)}))}var s2=G(H());var H0,vt=[],An=0,an=0,H5=Number.MAX_SAFE_INTEGER;async function ln(e){return R.initial&&(H0=null),H0?e.debug&&h("cached model:",H0.modelUrl):H0=await L(e.face.ssrnet.modelPathAge),H0}async function G5(e,t,n,o){var A,a,l,c;if(!H0)return{age:0};let r=H5<(((A=t.face.ssrnet)==null?void 0:A.skipFrames)||0),s=(((a=t.face.ssrnet)==null?void 0:a.skipTime)||0)>v()-an;return t.skipAllowed&&r&&s&&An===o&&((l=vt[n])!=null&&l.age)&&((c=vt[n])==null?void 0:c.age)>0?(H5++,vt[n]):(H5=0,new Promise(async x=>{var d,m,y;if(!(H0!=null&&H0.inputs)||!H0.inputs[0]||!H0.inputs[0].shape)return;let i={};if(((d=t.face.ssrnet)==null?void 0:d.crop)>0){let u=(m=t.face.ssrnet)==null?void 0:m.crop,T=[[u,u,1-u,1-u]];i.resize=s2.image.cropAndResize(e,T,[0],[H0.inputs[0].shape[2],H0.inputs[0].shape[1]])}else i.resize=s2.image.resizeBilinear(e,[H0.inputs[0].shape[2],H0.inputs[0].shape[1]],!1);i.enhance=s2.mul(i.resize,C.tf255);let f={age:0};if((y=t.face.ssrnet)!=null&&y.enabled&&(i.age=H0.execute(i.enhance)),i.age){let u=await i.age.data();f.age=Math.trunc(10*u[0])/10}Object.keys(i).forEach(u=>s2.dispose(i[u])),vt[n]=f,An=o,an=v(),x(f)}))}var v0=G(H());var N0,Rt=[],dn=0,xn=0,V5=Number.MAX_SAFE_INTEGER,Z5=[.2989,.587,.114];async function yn(e){var t;return R.initial&&(N0=null),N0?e.debug&&h("cached model:",N0.modelUrl):N0=await L((t=e.face.ssrnet)==null?void 0:t.modelPathGender),N0}async function X5(e,t,n,o){var A,a,l,c;if(!N0)return{gender:"unknown",genderScore:0};let r=V5<(((A=t.face.ssrnet)==null?void 0:A.skipFrames)||0),s=(((a=t.face.ssrnet)==null?void 0:a.skipTime)||0)>v()-xn;return t.skipAllowed&&r&&s&&dn===o&&((l=Rt[n])!=null&&l.gender)&&((c=Rt[n])==null?void 0:c.genderScore)>0?(V5++,Rt[n]):(V5=0,new Promise(async x=>{var m,y,u;if(!(N0!=null&&N0.inputs[0].shape))return;let i={};if(((m=t.face.ssrnet)==null?void 0:m.crop)>0){let T=(y=t.face.ssrnet)==null?void 0:y.crop,g=[[T,T,1-T,1-T]];i.resize=v0.image.cropAndResize(e,g,[0],[N0.inputs[0].shape[2],N0.inputs[0].shape[1]])}else i.resize=v0.image.resizeBilinear(e,[N0.inputs[0].shape[2],N0.inputs[0].shape[1]],!1);i.enhance=v0.tidy(()=>{var g,p;let T;if(((p=(g=N0==null?void 0:N0.inputs)==null?void 0:g[0].shape)==null?void 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t.skipAllowed&&s&&r&&mn===o&&q5[n]?(un++,q5[n]):new Promise(async l=>{var x;let c=[];if((x=t.face.mobilefacenet)!=null&&x.enabled&&(Q0!=null&&Q0.inputs[0].shape)){let i={};i.crop=Mt.image.resizeBilinear(e,[Q0.inputs[0].shape[2],Q0.inputs[0].shape[1]],!1),i.data=Q0.execute(i.crop);let f=await i.data.data();c=Array.from(f),Object.keys(i).forEach(d=>Mt.dispose(i[d]))}q5[n]=c,mn=o,pn=v(),l(c)})}var Pt=G(H());var _0,Y5=[],gn=0,Tn=0,vn=Number.MAX_SAFE_INTEGER;async function Rn(e){return R.initial&&(_0=null),_0?e.debug&&h("cached model:",_0.modelUrl):_0=await L(e.face.insightface.modelPath),_0}async function K5(e,t,n,o){var A,a;if(!(_0!=null&&_0.executor))return[];let r=vn<(((A=t.face.insightface)==null?void 0:A.skipFrames)||0),s=(((a=t.face.insightface)==null?void 0:a.skipTime)||0)>v()-Tn;return t.skipAllowed&&s&&r&&gn===o&&Y5[n]?(vn++,Y5[n]):new Promise(async l=>{var x;let c=[];if((x=t.face.insightface)!=null&&x.enabled&&(_0!=null&&_0.inputs[0].shape)){let i={};i.crop=Pt.image.resizeBilinear(e,[_0.inputs[0].shape[2],_0.inputs[0].shape[1]],!1),i.data=_0.execute(i.crop);let f=await i.data.data();c=Array.from(f),Object.keys(i).forEach(d=>Pt.dispose(i[d]))}Y5[n]=c,gn=o,Tn=v(),l(c)})}var vA=e=>{let t=(i,f)=>Math.atan2(i[1]-f[1],i[0]-f[0]);if(!e.annotations.rightEyeIris||!e.annotations.leftEyeIris)return{bearing:0,strength:0};let n=[0,-.1],o=1,r=(e.mesh[33][2]||0)>(e.mesh[263][2]||0),s=r?e.mesh[473]:e.mesh[468],A=r?[(e.mesh[133][0]+e.mesh[33][0])/2,(e.mesh[133][1]+e.mesh[33][1])/2]:[(e.mesh[263][0]+e.mesh[362][0])/2,(e.mesh[263][1]+e.mesh[362][1])/2],a=r?[e.mesh[133][0]-e.mesh[33][0],e.mesh[23][1]-e.mesh[27][1]]:[e.mesh[263][0]-e.mesh[362][0],e.mesh[253][1]-e.mesh[257][1]],l=[(A[0]-s[0])/a[0]-n[0],o*(s[1]-A[1])/a[1]-n[1]],c=Math.sqrt(l[0]*l[0]+l[1]*l[1]);return c=Math.min(c,e.boxRaw[2]/2,e.boxRaw[3]/2),{bearing:(t([0,0],l)+Math.PI/2)%Math.PI,strength:c}},Pn=(e,t)=>{let n=y=>{let u=Math.sqrt(y[0]*y[0]+y[1]*y[1]+y[2]*y[2]);return 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wt(e){return[Math.abs(e.endPoint[0]-e.startPoint[0]),Math.abs(e.endPoint[1]-e.startPoint[1])]}function C2(e){return[e.startPoint[0]+(e.endPoint[0]-e.startPoint[0])/2,e.startPoint[1]+(e.endPoint[1]-e.startPoint[1])/2]}function Gn(e,t,n){let o=t.shape[1],r=t.shape[2],s=[[e.startPoint[1]/o,e.startPoint[0]/r,e.endPoint[1]/o,e.endPoint[0]/r]];return Hn.image.cropAndResize(t,s,[0],n)}function Vn(e,t){let n=[e.startPoint[0]*t[0],e.startPoint[1]*t[1]],o=[e.endPoint[0]*t[0],e.endPoint[1]*t[1]],r=e.palmLandmarks.map(s=>[s[0]*t[0],s[1]*t[1]]);return{startPoint:n,endPoint:o,palmLandmarks:r,confidence:e.confidence}}function Et(e,t=1.5){let n=C2(e),o=wt(e),r=[t*o[0]/2,t*o[1]/2],s=[n[0]-r[0],n[1]-r[1]],A=[n[0]+r[0],n[1]+r[1]];return{startPoint:s,endPoint:A,palmLandmarks:e.palmLandmarks}}function zt(e){let t=C2(e),n=wt(e),r=Math.max(...n)/2,s=[t[0]-r,t[1]-r],A=[t[0]+r,t[1]+r];return{startPoint:s,endPoint:A,palmLandmarks:e.palmLandmarks}}function IA(e){return e-2*Math.PI*Math.floor((e+Math.PI)/(2*Math.PI))}function Zn(e,t){let n=Math.PI/2-Math.atan2(-(t[1]-e[1]),t[0]-e[0]);return IA(n)}var Fn=(e,t)=>[[1,0,e],[0,1,t],[0,0,1]];function Xe(e,t){let n=0;for(let o=0;o<e.length;o++)n+=e[o]*t[o];return n}function NA(e,t){let n=[];for(let o=0;o<e.length;o++)n.push(e[o][t]);return n}function Bn(e,t){let n=[],o=e.length;for(let r=0;r<o;r++){n.push([]);for(let s=0;s<o;s++)n[r].push(Xe(e[r],NA(t,s)))}return n}function $5(e,t){let n=Math.cos(e),o=Math.sin(e),r=[[n,-o,0],[o,n,0],[0,0,1]],s=Fn(t[0],t[1]),A=Bn(s,r),a=Fn(-t[0],-t[1]);return Bn(A,a)}function Xn(e){let t=[[e[0][0],e[1][0]],[e[0][1],e[1][1]]],n=[e[0][2],e[1][2]],o=[-Xe(t[0],n),-Xe(t[1],n)];return[t[0].concat(o[0]),t[1].concat(o[1]),[0,0,1]]}function e1(e,t){return[Xe(e,t[0]),Xe(e,t[1])]}var 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o=W.concat2d([n.startPoints,n.endPoints],1);return Object.keys(n).forEach(r=>W.dispose(n[r])),o}normalizeLandmarks(t,n){let o={};o.reshape=W.reshape(t,[-1,7,2]),o.div=W.div(o.reshape,this.inputSizeTensor),o.landmarks=W.add(o.div,this.anchors[n]?this.anchors[n]:0);let r=W.mul(o.landmarks,this.inputSizeTensor);return Object.keys(o).forEach(s=>W.dispose(o[s])),r}async predict(t,n){var a;let o={};o.resize=W.image.resizeBilinear(t,[this.inputSize,this.inputSize]),o.div=W.div(o.resize,C.tf127),o.image=W.sub(o.div,C.tf1),o.batched=this.model.execute(o.image),o.predictions=W.squeeze(o.batched),o.slice=W.slice(o.predictions,[0,0],[-1,1]),o.sigmoid=W.sigmoid(o.slice),o.scores=W.squeeze(o.sigmoid);let r=await o.scores.data();o.boxes=W.slice(o.predictions,[0,1],[-1,4]),o.norm=this.normalizeBoxes(o.boxes),o.nms=await W.image.nonMaxSuppressionAsync(o.norm,o.scores,3*(((a=n.hand)==null?void 0:a.maxDetected)||1),n.hand.iouThreshold,n.hand.minConfidence);let s=await o.nms.array(),A=[];for(let l of s){let c={};c.box=W.slice(o.norm,[l,0],[1,-1]),c.slice=W.slice(o.predictions,[l,5],[1,14]),c.norm=this.normalizeLandmarks(c.slice,l),c.palmLandmarks=W.reshape(c.norm,[-1,2]);let x=await c.box.data(),i=x.slice(0,2),f=x.slice(2,4),d=await c.palmLandmarks.array(),m={startPoint:i,endPoint:f,palmLandmarks:d,confidence:r[l]},y=Vn(m,[(t.shape[2]||1)/this.inputSize,(t.shape[1]||0)/this.inputSize]);A.push(y),Object.keys(c).forEach(u=>W.dispose(c[u]))}return Object.keys(o).forEach(l=>W.dispose(o[l])),A}};var $0=G(H());var CA=5,Yn=1.65,Kn=[0,5,9,13,17,1,2],WA=0,DA=2,Jn=0,jt=class{constructor(t,n){w(this,"handDetector");w(this,"handPoseModel");w(this,"inputSize");w(this,"storedBoxes");w(this,"skipped");w(this,"detectedHands");var o,r,s;this.handDetector=t,this.handPoseModel=n,this.inputSize=((s=(r=(o=this.handPoseModel)==null?void 0:o.inputs)==null?void 0:r[0].shape)==null?void 0:s[2])||0,this.storedBoxes=[],this.skipped=Number.MAX_SAFE_INTEGER,this.detectedHands=0}calculateLandmarksBoundingBox(t){let n=t.map(A=>A[0]),o=t.map(A=>A[1]),r=[Math.min(...n),Math.min(...o)],s=[Math.max(...n),Math.max(...o)];return{startPoint:r,endPoint:s}}getBoxForPalmLandmarks(t,n){let o=t.map(s=>e1([...s,1],n)),r=this.calculateLandmarksBoundingBox(o);return Et(zt(r),CA)}getBoxForHandLandmarks(t){let n=this.calculateLandmarksBoundingBox(t),o=Et(zt(n),Yn);o.palmLandmarks=[];for(let r=0;r<Kn.length;r++)o.palmLandmarks.push(t[Kn[r]].slice(0,2));return o}transformRawCoords(t,n,o,r){let s=wt(n),A=[s[0]/this.inputSize,s[1]/this.inputSize,(s[0]+s[1])/this.inputSize/2],a=t.map(d=>[A[0]*(d[0]-this.inputSize/2),A[1]*(d[1]-this.inputSize/2),A[2]*d[2]]),l=$5(o,[0,0]),c=a.map(d=>[...e1(d,l),d[2]]),x=Xn(r),i=[...C2(n),1],f=[Xe(i,x[0]),Xe(i,x[1])];return c.map(d=>[Math.trunc(d[0]+f[0]),Math.trunc(d[1]+f[1]),Math.trunc(d[2])])}async estimateHands(t,n){let o=!1,r,s=(n.hand.skipTime||0)>v()-Jn,A=this.skipped<(n.hand.skipFrames||0);n.skipAllowed&&s&&A&&(r=await this.handDetector.predict(t,n),this.skipped=0),n.skipAllowed&&this.skipped++,r&&r.length>0&&(r.length!==this.detectedHands&&this.detectedHands!==n.hand.maxDetected||!n.hand.landmarks)&&(this.detectedHands=0,this.storedBoxes=[...r],this.storedBoxes.length>0&&(o=!0));let a=[];for(let l=0;l<this.storedBoxes.length;l++){let c=this.storedBoxes[l];if(c)if(n.hand.landmarks){let x=n.hand.rotation?Zn(c.palmLandmarks[WA],c.palmLandmarks[DA]):0,i=C2(c),f=[i[0]/t.shape[2],i[1]/t.shape[1]],d=n.hand.rotation&&R.kernels.includes("rotatewithoffset")?$0.image.rotateWithOffset(t,x,0,f):t.clone(),m=$5(-x,i),y=o?this.getBoxForPalmLandmarks(c.palmLandmarks,m):c,u=Gn(y,d,[this.inputSize,this.inputSize]),T=$0.div(u,C.tf255);$0.dispose(u),$0.dispose(d);let[g,p]=this.handPoseModel.execute(T);Jn=v(),$0.dispose(T);let b=(await g.data())[0];if($0.dispose(g),b>=n.hand.minConfidence/4){let k=$0.reshape(p,[-1,3]),P=await k.array();$0.dispose(p),$0.dispose(k);let N=this.transformRawCoords(P,y,x,m),V=this.getBoxForHandLandmarks(N);this.storedBoxes[l]={...V,confidence:b};let _={landmarks:N,confidence:b,boxConfidence:c.confidence,fingerConfidence:b,box:{topLeft:V.startPoint,bottomRight:V.endPoint}};a.push(_)}else this.storedBoxes[l]=null;$0.dispose(p)}else{let x=Et(zt(c),Yn),i={confidence:c.confidence,boxConfidence:c.confidence,fingerConfidence:0,box:{topLeft:x.startPoint,bottomRight:x.endPoint},landmarks:[]};a.push(i)}}return this.storedBoxes=this.storedBoxes.filter(l=>l!==null),this.detectedHands=a.length,a.length>n.hand.maxDetected&&(a.length=n.hand.maxDetected),a}};var Qn={thumb:[1,2,3,4],index:[5,6,7,8],middle:[9,10,11,12],ring:[13,14,15,16],pinky:[17,18,19,20],palm:[0]},l2,c2,_n;async function t1(e,t){let n=await _n.estimateHands(e,t);if(!n)return[];let o=[];for(let r=0;r<n.length;r++){let s={};if(n[r].landmarks)for(let x of Object.keys(Qn))s[x]=Qn[x].map(i=>n[r].landmarks[i]);let A=n[r].landmarks,a=[Number.MAX_SAFE_INTEGER,Number.MAX_SAFE_INTEGER,0,0],l=[0,0,0,0];if(A&&A.length>0){for(let x of A)x[0]<a[0]&&(a[0]=x[0]),x[1]<a[1]&&(a[1]=x[1]),x[0]>a[2]&&(a[2]=x[0]),x[1]>a[3]&&(a[3]=x[1]);a[2]-=a[0],a[3]-=a[1],l=[a[0]/(e.shape[2]||0),a[1]/(e.shape[1]||0),a[2]/(e.shape[2]||0),a[3]/(e.shape[1]||0)]}else a=n[r].box?[Math.trunc(Math.max(0,n[r].box.topLeft[0])),Math.trunc(Math.max(0,n[r].box.topLeft[1])),Math.trunc(Math.min(e.shape[2]||0,n[r].box.bottomRight[0])-Math.max(0,n[r].box.topLeft[0])),Math.trunc(Math.min(e.shape[1]||0,n[r].box.bottomRight[1])-Math.max(0,n[r].box.topLeft[1]))]:[0,0,0,0],l=[n[r].box.topLeft[0]/(e.shape[2]||0),n[r].box.topLeft[1]/(e.shape[1]||0),(n[r].box.bottomRight[0]-n[r].box.topLeft[0])/(e.shape[2]||0),(n[r].box.bottomRight[1]-n[r].box.topLeft[1])/(e.shape[1]||0)];let c=kt(A);o.push({id:r,score:Math.round(100*n[r].confidence)/100,boxScore:Math.round(100*n[r].boxConfidence)/100,fingerScore:Math.round(100*n[r].fingerConfidence)/100,label:"hand",box:a,boxRaw:l,keypoints:A,annotations:s,landmarks:c})}return o}async function $n(e){var n,o;R.initial&&(l2=null,c2=null),!l2||!c2?[l2,c2]=await Promise.all([e.hand.enabled?L((n=e.hand.detector)==null?void 0:n.modelPath):null,e.hand.landmarks?L((o=e.hand.skeleton)==null?void 0:o.modelPath):null]):(e.debug&&h("cached model:",l2.modelUrl),e.debug&&h("cached model:",c2.modelUrl));let t=l2?new St(l2):void 0;return t&&c2&&(_n=new jt(t,c2)),[l2,c2]}var Q=G(H());var p0=[null,null],BA=["StatefulPartitionedCall/Postprocessor/Slice","StatefulPartitionedCall/Postprocessor/ExpandDims_1"],qe=[[0,0],[0,0]],HA=["hand","fist","pinch","point","face","tip","pinchtip"],to=4,no=1.6,GA=512,VA=1.4,It=Number.MAX_SAFE_INTEGER,n1=0,we=[0,0],m0={boxes:[],hands:[]},oo={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 ro(e){var t;if(R.initial&&(p0[0]=null),p0[0])e.debug&&h("cached model:",p0[0].modelUrl);else{J2(["tensorlistreserve","enter","tensorlistfromtensor","merge","loopcond","switch","exit","tensorliststack","nextiteration","tensorlistsetitem","tensorlistgetitem","reciprocal","shape","split","where"],e),p0[0]=await L((t=e.hand.detector)==null?void 0:t.modelPath);let n=p0[0].executor?Object.values(p0[0].modelSignature.inputs):void 0;qe[0][0]=Array.isArray(n)?parseInt(n[0].tensorShape.dim[1].size):0,qe[0][1]=Array.isArray(n)?parseInt(n[0].tensorShape.dim[2].size):0}return p0[0]}async function so(e){var t;if(R.initial&&(p0[1]=null),p0[1])e.debug&&h("cached model:",p0[1].modelUrl);else{p0[1]=await L((t=e.hand.skeleton)==null?void 0:t.modelPath);let n=p0[1].executor?Object.values(p0[1].modelSignature.inputs):void 0;qe[1][0]=Array.isArray(n)?parseInt(n[0].tensorShape.dim[1].size):0,qe[1][1]=Array.isArray(n)?parseInt(n[0].tensorShape.dim[2].size):0}return p0[1]}async function ZA(e,t){let n=[];if(!e||!p0[0])return n;let o={},r=(e.shape[2]||1)/(e.shape[1]||1),s=Math.min(Math.round((e.shape[1]||0)/8)*8,GA),A=Math.round(s*r/8)*8;o.resize=Q.image.resizeBilinear(e,[s,A]),o.cast=Q.cast(o.resize,"int32"),[o.rawScores,o.rawBoxes]=await p0[0].executeAsync(o.cast,BA),o.boxes=Q.squeeze(o.rawBoxes,[0,2]),o.scores=Q.squeeze(o.rawScores,[0]);let a=Q.unstack(o.scores,1);Q.dispose(a[to]),a.splice(to,1),o.filtered=Q.stack(a,1),Q.dispose(a),o.max=Q.max(o.filtered,1),o.argmax=Q.argMax(o.filtered,1);let l=0;o.nms=await Q.image.nonMaxSuppressionAsync(o.boxes,o.max,(t.hand.maxDetected||0)+1,t.hand.iouThreshold||0,t.hand.minConfidence||1);let c=await o.nms.data(),x=await o.max.data(),i=await o.argmax.data();for(let f of Array.from(c)){let d=Q.slice(o.boxes,f,1),m=await d.data();Q.dispose(d);let y=[m[1],m[0],m[3]-m[1],m[2]-m[0]],u=st(y,VA),T=[Math.trunc(y[0]*we[0]),Math.trunc(y[1]*we[1]),Math.trunc(y[2]*we[0]),Math.trunc(y[3]*we[1])],g=x[f],p=HA[i[f]],b={id:l++,score:g,box:T,boxRaw:u,label:p};n.push(b)}return Object.keys(o).forEach(f=>Q.dispose(o[f])),n.sort((f,d)=>d.score-f.score),n.length>(t.hand.maxDetected||1)&&(n.length=t.hand.maxDetected||1),n}async function o1(e,t,n){let o={id:t.id,score:Math.round(100*t.score)/100,boxScore:Math.round(100*t.score)/100,fingerScore:0,box:t.box,boxRaw:t.boxRaw,label:t.label,keypoints:[],landmarks:{},annotations:{}};if(e&&p0[1]&&n.hand.landmarks&&t.score>(n.hand.minConfidence||0)){let r={},s=[t.boxRaw[1],t.boxRaw[0],t.boxRaw[3]+t.boxRaw[1],t.boxRaw[2]+t.boxRaw[0]];r.crop=Q.image.cropAndResize(e,[s],[0],[qe[1][0],qe[1][1]],"bilinear"),r.div=Q.div(r.crop,C.tf255),[r.score,r.keypoints]=p0[1].execute(r.div,["Identity_1","Identity"]);let A=(await r.score.data())[0],a=(100-Math.trunc(100/(1+Math.exp(A))))/100;if(a>=(n.hand.minConfidence||0)){o.fingerScore=a,r.reshaped=Q.reshape(r.keypoints,[-1,3]);let x=(await r.reshaped.array()).map(i=>[i[0]/qe[1][1],i[1]/qe[1][0],i[2]||0]).map(i=>[i[0]*t.boxRaw[2],i[1]*t.boxRaw[3],i[2]||0]);o.keypoints=x.map(i=>[we[0]*(i[0]+t.boxRaw[0]),we[1]*(i[1]+t.boxRaw[1]),i[2]||0]),o.landmarks=kt(o.keypoints);for(let i of Object.keys(oo))o.annotations[i]=oo[i].map(f=>o.landmarks&&o.keypoints[f]?o.keypoints[f]:null)}Object.keys(r).forEach(l=>Q.dispose(r[l]))}return o}async function r1(e,t){var r,s;if(!((r=p0[0])!=null&&r.executor)||!((s=p0[1])!=null&&s.executor)||!p0[0].inputs[0].shape||!p0[1].inputs[0].shape)return[];we=[e.shape[2]||0,e.shape[1]||0],It++;let n=(t.hand.skipTime||0)>v()-n1,o=It<(t.hand.skipFrames||0);return t.skipAllowed&&n&&o?m0.hands:new Promise(async A=>{let a=3*(t.hand.skipTime||0)>v()-n1,l=It<3*(t.hand.skipFrames||0);t.skipAllowed&&m0.hands.length===t.hand.maxDetected?m0.hands=await Promise.all(m0.boxes.map(x=>o1(e,x,t))):t.skipAllowed&&a&&l&&m0.hands.length>0?m0.hands=await Promise.all(m0.boxes.map(x=>o1(e,x,t))):(m0.boxes=await ZA(e,t),n1=v(),m0.hands=await Promise.all(m0.boxes.map(x=>o1(e,x,t))),It=0);let c=[...m0.boxes];if(m0.boxes.length=0,t.cacheSensitivity>0)for(let x=0;x<m0.hands.length;x++){let i=t3(m0.hands[x].keypoints,we);if(i.box[2]/(e.shape[2]||1)>.05&&i.box[3]/(e.shape[1]||1)>.05&&m0.hands[x].fingerScore&&m0.hands[x].fingerScore>(t.hand.minConfidence||0)){let f=st(i.box,no),d=st(i.boxRaw,no);m0.boxes.push({...c[x],box:f,boxRaw:d})}}for(let x=0;x<m0.hands.length;x++){let i=Le(m0.hands[x].keypoints,we);m0.hands[x].box=i.box,m0.hands[x].boxRaw=i.boxRaw}A(m0.hands)})}var Te=(e=null)=>({face:[],body:[],hand:[],gesture:[],object:[],persons:[],performance:{},timestamp:0,width:0,height:0,error:e});var W2={};ze(W2,{connected:()=>Lt,horizontal:()=>s1,kpt:()=>Nt,relative:()=>a1,vertical:()=>A1});var Nt=["nose","leftEye","rightEye","leftEar","rightEar","leftShoulder","rightShoulder","leftElbow","rightElbow","leftWrist","rightWrist","leftHip","rightHip","leftKnee","rightKnee","leftAnkle","rightAnkle"],s1=[["leftEye","rightEye"],["leftEar","rightEar"],["leftShoulder","rightShoulder"],["leftElbow","rightElbow"],["leftWrist","rightWrist"],["leftHip","rightHip"],["leftKnee","rightKnee"],["leftAnkle","rightAnkle"]],A1=[["leftKnee","leftShoulder"],["rightKnee","rightShoulder"],["leftAnkle","leftKnee"],["rightAnkle","rightKnee"]],a1=[[["leftHip","rightHip"],["leftShoulder","rightShoulder"]],[["leftElbow","rightElbow"],["leftShoulder","rightShoulder"]]],Lt={leftLeg:["leftHip","leftKnee","leftAnkle"],rightLeg:["rightHip","rightKnee","rightAnkle"],torso:["leftShoulder","rightShoulder","rightHip","leftHip","leftShoulder"],leftArm:["leftShoulder","leftElbow","leftWrist"],rightArm:["rightShoulder","rightElbow","rightWrist"],head:[]};var z=Te(),i1=0;function ao(e,t){var A,a,l,c,x,i,f,d,m,y,u,T,g,p,b,k,P,N,V,_,Z,$,A0,n0,t0,j0;let n=v();if(!e)return Te();let o=Date.now()-e.timestamp,r=o<1e3?8-Math.log(o+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 M=0;M<e.body.length;M++){let T0=e.body[M].box.map((B,X)=>((r-1)*z.body[M].box[X]+B)/r),C0=e.body[M].boxRaw.map((B,X)=>((r-1)*z.body[M].boxRaw[X]+B)/r),x0=e.body[M].keypoints.map((B,X)=>{var U0,y0,Ee,k2,x2,w1,E1,z1,S1;return{score:B.score,part:B.part,position:[z.body[M].keypoints[X]?((r-1)*(z.body[M].keypoints[X].position[0]||0)+(B.position[0]||0))/r:B.position[0],z.body[M].keypoints[X]?((r-1)*(z.body[M].keypoints[X].position[1]||0)+(B.position[1]||0))/r:B.position[1],z.body[M].keypoints[X]?((r-1)*(z.body[M].keypoints[X].position[2]||0)+(B.position[2]||0))/r:B.position[2]],positionRaw:[z.body[M].keypoints[X]?((r-1)*(z.body[M].keypoints[X].positionRaw[0]||0)+(B.positionRaw[0]||0))/r:B.positionRaw[0],z.body[M].keypoints[X]?((r-1)*(z.body[M].keypoints[X].positionRaw[1]||0)+(B.positionRaw[1]||0))/r:B.positionRaw[1],z.body[M].keypoints[X]?((r-1)*(z.body[M].keypoints[X].positionRaw[2]||0)+(B.positionRaw[2]||0))/r:B.positionRaw[2]],distance:[z.body[M].keypoints[X]?((r-1)*(((U0=z.body[M].keypoints[X].distance)==null?void 0:U0[0])||0)+(((y0=B.distance)==null?void 0:y0[0])||0))/r:(Ee=B.distance)==null?void 0:Ee[0],z.body[M].keypoints[X]?((r-1)*(((k2=z.body[M].keypoints[X].distance)==null?void 0:k2[1])||0)+(((x2=B.distance)==null?void 0:x2[1])||0))/r:(w1=B.distance)==null?void 0:w1[1],z.body[M].keypoints[X]?((r-1)*(((E1=z.body[M].keypoints[X].distance)==null?void 0:E1[2])||0)+(((z1=B.distance)==null?void 0:z1[2])||0))/r:(S1=B.distance)==null?void 0:S1[2]]}}),K={},E={connected:{}};(A=t.body.modelPath)!=null&&A.includes("efficientpose")?E=it:(a=t.body.modelPath)!=null&&a.includes("blazepose")?E=ot:(l=t.body.modelPath)!=null&&l.includes("movenet")&&(E=W2);for(let[B,X]of Object.entries(E.connected)){let U0=[];for(let y0=0;y0<X.length-1;y0++){let Ee=x0.find(x2=>x2.part===X[y0]),k2=x0.find(x2=>x2.part===X[y0+1]);Ee&&k2&&U0.push([Ee.position,k2.position])}K[B]=U0}z.body[M]={...e.body[M],box:T0,boxRaw:C0,keypoints:x0,annotations:K}}if(!z.hand||e.hand.length!==z.hand.length)z.hand=JSON.parse(JSON.stringify(e.hand));else for(let M=0;M<e.hand.length;M++){let T0=e.hand[M].box.map((E,B)=>((r-1)*z.hand[M].box[B]+E)/r),C0=e.hand[M].boxRaw.map((E,B)=>((r-1)*z.hand[M].boxRaw[B]+E)/r);z.hand[M].keypoints.length!==e.hand[M].keypoints.length&&(z.hand[M].keypoints=e.hand[M].keypoints);let x0=e.hand[M].keypoints&&e.hand[M].keypoints.length>0?e.hand[M].keypoints.map((E,B)=>E.map((X,U0)=>((r-1)*(z.hand[M].keypoints[B][U0]||1)+(X||0))/r)):[],K={};if(Object.keys(z.hand[M].annotations).length!==Object.keys(e.hand[M].annotations).length)z.hand[M].annotations=e.hand[M].annotations,K=z.hand[M].annotations;else if(e.hand[M].annotations)for(let E of Object.keys(e.hand[M].annotations))K[E]=(i=(x=(c=e.hand[M])==null?void 0:c.annotations)==null?void 0:x[E])!=null&&i[0]?e.hand[M].annotations[E].map((B,X)=>B.map((U0,y0)=>((r-1)*z.hand[M].annotations[E][X][y0]+U0)/r)):null;z.hand[M]={...e.hand[M],box:T0,boxRaw:C0,keypoints:x0,annotations:K}}if(!z.face||e.face.length!==z.face.length)z.face=JSON.parse(JSON.stringify(e.face));else for(let M=0;M<e.face.length;M++){let T0=e.face[M].box.map((K,E)=>((r-1)*z.face[M].box[E]+K)/r),C0=e.face[M].boxRaw.map((K,E)=>((r-1)*z.face[M].boxRaw[E]+K)/r),x0=e.face[M].annotations;if(Object.keys(z.face[M].annotations).length!==Object.keys(e.face[M].annotations).length)z.face[M].annotations=e.face[M].annotations,x0=z.face[M].annotations;else if(e.face[M].annotations)for(let K of Object.keys(e.face[M].annotations))x0[K]=(m=(d=(f=e.face[M])==null?void 0:f.annotations)==null?void 0:d[K])!=null&&m[0]?e.face[M].annotations[K].map((E,B)=>E.map((X,U0)=>((r-1)*z.face[M].annotations[K][B][U0]+X)/r)):null;if(e.face[M].rotation){let K={matrix:[0,0,0,0,0,0,0,0,0],angle:{roll:0,yaw:0,pitch:0},gaze:{bearing:0,strength:0}};K.matrix=(y=e.face[M].rotation)==null?void 0:y.matrix,K.angle={roll:((r-1)*(((T=(u=z.face[M].rotation)==null?void 0:u.angle)==null?void 0:T.roll)||0)+(((p=(g=e.face[M].rotation)==null?void 0:g.angle)==null?void 0:p.roll)||0))/r,yaw:((r-1)*(((k=(b=z.face[M].rotation)==null?void 0:b.angle)==null?void 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vo(e){let t=e.reduce(({maxX:n,maxY:o,minX:r,minY:s},{position:{x:A,y:a}})=>({maxX:Math.max(n,A),maxY:Math.max(o,a),minX:Math.min(r,A),minY:Math.min(s,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 Ro(e,[t,n],[o,r]){let s=t/o,A=n/r,a=(c,x)=>({id:x,score:c.score,boxRaw:[c.box[0]/r,c.box[1]/o,c.box[2]/r,c.box[3]/o],box:[Math.trunc(c.box[0]*A),Math.trunc(c.box[1]*s),Math.trunc(c.box[2]*A),Math.trunc(c.box[3]*s)],keypoints:c.keypoints.map(({score:i,part:f,position:d})=>({score:i,part:f,position:[Math.trunc(d.x*A),Math.trunc(d.y*s)],positionRaw:[d.x/o,d.y/o]})),annotations:{}});return e.map((c,x)=>a(c,x))}var Bt=class{constructor(t,n){w(this,"priorityQueue");w(this,"numberOfElements");w(this,"getElementValue");this.priorityQueue=new 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0:t0.modelPath)!=null&&j0.includes("handtrack")&&(x=this.config.hand.enabled?await r1(a.tensor,d):[]),this.performance.hand=this.env.perfadd?(this.performance.hand||0)+Math.trunc(v()-r):Math.trunc(v()-r)),this.analyze("End Hand:"),this.analyze("Start Object:"),this.state="detect:object",this.config.async?((M=this.config.object.modelPath)!=null&&M.includes("nanodet")?i=this.config.object.enabled?m1(a.tensor,this.config):[]:(T0=this.config.object.modelPath)!=null&&T0.includes("centernet")&&(i=this.config.object.enabled?p5(a.tensor,this.config):[]),this.performance.object&&delete this.performance.object):(r=v(),(C0=this.config.object.modelPath)!=null&&C0.includes("nanodet")?i=this.config.object.enabled?await m1(a.tensor,this.config):[]:(x0=this.config.object.modelPath)!=null&&x0.includes("centernet")&&(i=this.config.object.enabled?await p5(a.tensor,this.config):[]),this.performance.object=this.env.perfadd?(this.performance.object||0)+Math.trunc(v()-r):Math.trunc(v()-r)),this.analyze("End Object:"),this.state="detect:await",this.config.async&&([l,c,x,i]=await Promise.all([l,c,x,i])),this.state="detect:gesture";let m=[];this.config.gesture.enabled&&(r=v(),m=[...Cn(l),...On(c),...Dn(x),...Wn(l)],this.config.async?this.performance.gesture&&delete this.performance.gesture:this.performance.gesture=this.env.perfadd?(this.performance.gesture||0)+Math.trunc(v()-r):Math.trunc(v()-r)),this.performance.total=this.env.perfadd?(this.performance.total||0)+Math.trunc(v()-A):Math.trunc(v()-A);let y=((K=this.process.tensor)==null?void 0:K.shape)||[0,0,0,0];this.result={face:l,body:c,hand:x,gesture:m,object:i,performance:this.performance,canvas:this.process.canvas,timestamp:Date.now(),error:null,width:y[2],height:y[1],get persons(){return Oo(l,c,x,m,y)}},de.dispose(a.tensor),this.emit("detect"),this.state="idle",o(this.result)})}async sleep(t){return new Promise(n=>{setTimeout(n,t)})}async video(t,n=!0,o=0){n?(Y0(this,Ye)[t.id]||(this.config.debug&&h("video start",t.id),Y0(this,Ye)[t.id]=!0),!t.paused&&Y0(this,Ye)[t.id]&&t.readyState>=2&&await this.detect(t),o>0&&await this.sleep(o),Y0(this,Ye)[t.id]&&requestAnimationFrame(()=>this.video(t,n,o))):(this.config.debug&&h("video stop",t.id),Y0(this,Ye)[t.id]=!1)}};P2=new WeakMap,G2=new WeakMap,V2=new WeakMap,Xt=new WeakMap,Ye=new WeakMap;0&&(module.exports={Env,Human,defaults,draw,empty,env,match,models});