human/dist/human.node-wasm.js

841 lines
310 KiB
JavaScript

/*
Human
homepage: <https://github.com/vladmandic/human>
author: <https://github.com/vladmandic>'
*/
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performance!="undefined"?performance.now():parseInt((Number(process.hrtime.bigint())/1e3/1e3).toString());function Yt(e,t,n="config",o=[]){for(let r of Object.keys(t))if(typeof t[r]=="object")Yt(e[r],t[r],r,o);else{let s=e&&typeof e[r]!="undefined";s||o.push({reason:"unknown property",where:`${n}.${r} = ${t[r]}`});let A=e&&typeof e[r]==typeof t[r];s&&!A&&o.push({reason:"property type mismatch",where:`${n}.${r} = ${t[r]}`,expected:typeof e[r]})}return t.debug&&n==="config"&&o.length>0&&u("invalid configuration",o),o}function a0(...e){let t=n=>n&&typeof n=="object";return e.reduce((n,o)=>(Object.keys(o||{}).forEach(r=>{let s=n[r],A=o[r];Array.isArray(s)&&Array.isArray(A)?n[r]=s.concat(...A):t(s)&&t(A)?n[r]=a0(s,A):n[r]=A}),n),{})}var 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I0=Z(H());var N=Z(H());var j1=`
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 N1=`
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];
}
`,I1=`
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;
}
`,O1=`
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);
}
`,L1=`
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;
}
`,C1=`
precision highp float;
varying vec2 vUv;
uniform sampler2D texture;
uniform vec2 px;
uniform float m[9];
void main(void) {
vec4 c11 = texture2D(texture, vUv - px); // top left
vec4 c12 = texture2D(texture, vec2(vUv.x, vUv.y - px.y)); // top center
vec4 c13 = texture2D(texture, vec2(vUv.x + px.x, vUv.y - px.y)); // top right
vec4 c21 = texture2D(texture, vec2(vUv.x - px.x, vUv.y) ); // mid left
vec4 c22 = texture2D(texture, vUv); // mid center
vec4 c23 = texture2D(texture, vec2(vUv.x + px.x, vUv.y) ); // mid right
vec4 c31 = texture2D(texture, vec2(vUv.x - px.x, vUv.y + px.y) ); // bottom left
vec4 c32 = texture2D(texture, vec2(vUv.x, vUv.y + px.y) ); // bottom center
vec4 c33 = texture2D(texture, vUv + px ); // bottom right
gl_FragColor =
c11 * m[0] + c12 * m[1] + c22 * m[2] +
c21 * m[3] + c22 * m[4] + c23 * m[5] +
c31 * m[6] + c32 * m[7] + c33 * m[8];
gl_FragColor.a = c22.a;
}
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x=[Y.sub(n[0],o[0]),Y.sub(n[1],o[1]),Y.sub(n[2],o[2])],i=[Y.sub(r[0],o[0]),Y.sub(r[1],o[1]),Y.sub(r[2],o[2])],y=[Y.mul(x[0],l),Y.mul(x[1],l),Y.mul(x[2],l)],d=Y.stack([y[0],y[1],y[2]],2);c=Y.reshape(d,[1,t.shape[0]||0,t.shape[1]||0,3]),Y.dispose([...x,...i,...y])}else c=Y.expandDims(t,0);return Y.dispose([...n,...o,...r,n,t,e]),c}var X2=3840,v0=null,R0=null,c2=null,e0,J0={inputSum:0,cacheDiff:1,sumMethod:0,inputTensor:void 0};function Qt(){J0.inputSum=0,J0.cacheDiff=1,J0.sumMethod=0,J0.inputTensor=void 0}function te(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")throw new Error("canvas error: attempted to run in browser but DOM is not defined");n=document.createElement("canvas"),n.width=e,n.height=t}else typeof R.Canvas!="undefined"?n=new R.Canvas(e,t):typeof globalThis.Canvas!="undefined"&&(n=new globalThis.Canvas(e,t));return n}function q2(e,t){let n=t||te(e.width,e.height);return n.getContext("2d").drawImage(e,0,0),n}async function U2(e,t,n=!0){var y,d,p;if(!e)return t.debug&&u("input error: input is missing"),{tensor:null,canvas:null};if(!(e instanceof N.Tensor)&&!(typeof Image!="undefined"&&e instanceof Image)&&!(typeof globalThis.Canvas!="undefined"&&e instanceof globalThis.Canvas)&&!(typeof ImageData!="undefined"&&e instanceof ImageData)&&!(typeof ImageBitmap!="undefined"&&e instanceof ImageBitmap)&&!(typeof HTMLImageElement!="undefined"&&e instanceof HTMLImageElement)&&!(typeof HTMLMediaElement!="undefined"&&e instanceof HTMLMediaElement)&&!(typeof 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 N.Tensor){let f=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)f=N.expandDims(e,0);else if(e.shape[2]===4){let b=N.slice3d(e,[0,0,0],[-1,-1,3]);f=N.expandDims(b,0),N.dispose(b)}}else e.shape.length===4&&(e.shape[3]===3?f=N.clone(e):e.shape[3]===4&&(f=N.slice4d(e,[0,0,0,0],[-1,-1,-1,3])));if(f==null||f.shape.length!==4||f.shape[0]!==1||f.shape[3]!==3)throw new Error(`input error: attempted to use tensor with unrecognized shape: ${e.shape.toString()}`);if(f.dtype==="int32"){let b=N.cast(f,"float32");N.dispose(f),f=b}return{tensor:f,canvas:t.filter.return?R0:null}}if(typeof e.readyState!="undefined"&&e.readyState<=2)return t.debug&&u("input stream is not ready"),{tensor:null,canvas:v0};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&&u("cannot determine input dimensions"),{tensor:null,canvas:v0};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)),(((y=t.filter)==null?void 0:y.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");(!v0||v0.width!==s||v0.height!==A)&&(v0=te(s,A));let a=v0.getContext("2d");if(typeof ImageData!="undefined"&&e instanceof ImageData?a.putImageData(e,0,0):t.filter.flip&&typeof a.translate!="undefined"?(a.translate(o,0),a.scale(-1,1),a.drawImage(e,0,0,o,r,0,0,v0.width,v0.height),a.setTransform(1,0,0,1,0,0)):a.drawImage(e,0,0,o,r,0,0,v0.width,v0.height),(!R0||v0.width!==R0.width||v0.height!==R0.height)&&(R0=te(v0.width,v0.height)),t.filter.enabled&&R.webgl.supported?(e0||(e0=R.browser?new W1: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),((p=e0.get())==null?void 0:p.length)>1?R0=e0.apply(v0):R0=e0.draw(v0)):(t.debug&&u("input process error: cannot initialize filters"),R.webgl.supported=!1,t.filter.enabled=!1,q2(v0,R0))):(q2(v0,R0),e0&&(e0=null),R.filter=!!e0),!n)return{tensor:null,canvas:R0};if(!R0)throw new Error("canvas error: cannot create output");let l,c=3;if(typeof ImageData!="undefined"&&e instanceof ImageData||e.data&&e.width&&e.height)if(R.browser&&N.browser)l=N.browser?N.browser.fromPixels(e):null;else{c=e.data.length/e.height/e.width;let f=new Uint8Array(e.data.buffer);l=N.tensor(f,[e.height,e.width,c],"int32")}else if((!c2||R0.width!==c2.width||R0.height!==c2.height)&&(c2=te(R0.width,R0.height)),N.browser&&R.browser)t.backend==="webgl"||t.backend==="humangl"||t.backend==="webgpu"?l=N.browser.fromPixels(R0):(c2=q2(R0),l=N.browser.fromPixels(c2));else{let M=q2(R0).getContext("2d").getImageData(0,0,s,A);c=M.data.length/s/A;let T=new Uint8Array(M.data.buffer);l=N.tensor(T,[s,A,c])}if(c===4){let f=N.slice3d(l,[0,0,0],[-1,-1,3]);N.dispose(l),l=f}if(!l)throw new Error("input error: cannot create tensor");let x=N.cast(l,"float32"),i=t.filter.equalization?await Z2(x):N.expandDims(x,0);if(N.dispose([l,x]),t.filter.autoBrightness){let f=N.max(i),b=await f.data();t.filter.brightness=b[0]>1?1-b[0]/255:1-b[0],N.dispose(f)}return{tensor:i,canvas:t.filter.return?R0:null}}async function D1(e,t){let n=!1;if(e.cacheSensitivity===0||!t.shape||t.shape.length!==4||t.shape[1]>3840||t.shape[2]>2160)return n;if(!J0.inputTensor)J0.inputTensor=N.clone(t);else if(J0.inputTensor.shape[1]!==t.shape[1]||J0.inputTensor.shape[2]!==t.shape[2])N.dispose(J0.inputTensor),J0.inputTensor=N.clone(t);else{let o={};o.diff=N.sub(t,J0.inputTensor),o.squared=N.mul(o.diff,o.diff),o.sum=N.sum(o.squared);let s=(await o.sum.data())[0]/(t.shape[1]||1)/(t.shape[2]||1)/255/3;N.dispose([J0.inputTensor,o.diff,o.squared,o.sum]),J0.inputTensor=N.clone(t),n=s<=(e.cacheSensitivity||0)}return n}async function F1(e,t,n){let o={};if(!t||!n||t.shape.length!==4||t.shape.length!==n.shape.length)return e.debug||u("invalid input tensor or tensor shapes do not match:",t.shape,n.shape),0;if(t.shape[0]!==1||n.shape[0]!==1||t.shape[3]!==3||n.shape[3]!==3)return e.debug||u("input tensors must 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0,flags:[]});k(this,"kernels",[]);me(this,S2,void 0);me(this,j2,void 0);me(this,N2,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:I0.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 G0(this,S2)}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=I0.getKernelsForBackend(I0.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})}};S2=new WeakMap,j2=new WeakMap,N2=new WeakMap;var R=new z2;var K2=class{constructor(){k(this,"config");k(this,"element");k(this,"stream");k(this,"devices",[]);k(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});k(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&&u("webcam","cannot get dom element",t.element);return}}else if(t.element instanceof 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navigator.mediaDevices.getUserMedia(n)}catch(A){u("webcam",A);return}if(!this.stream){this.config.debug&&u("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&&u("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})});k(this,"pause",()=>{this.element&&this.element.pause()});k(this,"play",async()=>{this.element&&await this.element.play()});k(this,"stop",()=>{this.config.debug&&u("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 this.track.getConstraints?this.track.getConstraints():void 0}get settings(){if(!this.stream)return;let t=this.stream.getVideoTracks()[0];return t.getSettings?t.getSettings():void 0}get label(){return this.track?this.track.label:""}get paused(){var t;return((t=this.element)==null?void 0:t.paused)||!1}get width(){var t;return((t=this.element)==null?void 0:t.videoWidth)||0}get height(){var t;return((t=this.element)==null?void 0:t.videoHeight)||0}};var d2=Z(H());var 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live: [live]%
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t=e===192?{strides:[4],anchors:[1]}:{strides:[e/16,e/8],anchors:[2,6]},n=[];for(let o=0;o<t.strides.length;o++){let r=t.strides[o],s=Math.floor((e+r-1)/r),A=Math.floor((e+r-1)/r),a=t.anchors[o];for(let l=0;l<s;l++){let c=r*(l+.5);for(let x=0;x<A;x++){let i=r*(x+.5);for(let y=0;y<a;y++)n.push([i,c])}}}return n}function p3(e,t,n,o,r){let s=y2(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?f3(n,[0,0]):g5,c=a?A.map(d=>[...nA(d,l),d[2]]):A,x=a?tA(o):g5,i=lt(t),y=[o2(i,x[0]),o2(i,x[1])];return c.map(d=>[Math.trunc(d[0]+y[0]),Math.trunc(d[1]+y[1]),Math.trunc(d[2]||0)])}function u3(e,t,n,o){let r=t.landmarks.length>=n5.count?n5.symmetryLine:Qe.symmetryLine,s=0,A=g5,a;if(e&&R.kernels.includes("rotatewithoffset"))if(s=$s(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=Re.image.rotateWithOffset(n,s,0,[x[0],x[1]]);A=f3(-s,c),a=b5(t,i,[o,o]),Re.dispose(i)}else a=b5(t,n,[o,o]);else 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t={};t.boxStarts=L.slice(e,[0,1],[-1,2]),t.centers=L.add(t.boxStarts,v5),t.boxSizes=L.slice(e,[0,3],[-1,2]),t.boxSizesNormalized=L.div(t.boxSizes,f2),t.centersNormalized=L.div(t.centers,f2),t.halfBoxSize=L.div(t.boxSizesNormalized,C.tf2),t.starts=L.sub(t.centersNormalized,t.halfBoxSize),t.ends=L.add(t.centersNormalized,t.halfBoxSize),t.startNormalized=L.mul(t.starts,f2),t.endNormalized=L.mul(t.ends,f2);let n=L.concat2d([t.startNormalized,t.endNormalized],1);return Object.keys(t).forEach(o=>L.dispose(t[o])),n}async function T3(e,t){var a,l,c,x;if(!e||e.isDisposedInternal||e.shape.length!==4||e.shape[1]<1||e.shape[2]<1)return[];let n={};n.resized=L.image.resizeBilinear(e,[Le,Le]),n.div=L.div(n.resized,C.tf127),n.normalized=L.sub(n.div,C.tf05);let o=ie==null?void 0:ie.execute(n.normalized);if(Array.isArray(o)&&o.length>2){let i=o.sort((y,d)=>y.size-d.size);n.concat384=L.concat([i[0],i[2]],2),n.concat512=L.concat([i[1],i[3]],2),n.concat=L.concat([n.concat512,n.concat384],1),n.batch=L.squeeze(n.concat,[0])}else Array.isArray(o)?n.batch=L.squeeze(o[0]):n.batch=L.squeeze(o);L.dispose(o),n.boxes=sA(n.batch),n.logits=L.slice(n.batch,[0,0],[-1,1]),n.sigmoid=L.sigmoid(n.logits),n.scores=L.squeeze(n.sigmoid),n.nms=await L.image.nonMaxSuppressionAsync(n.boxes,n.scores,((a=t.face.detector)==null?void 0:a.maxDetected)||0,((l=t.face.detector)==null?void 0:l.iouThreshold)||0,((c=t.face.detector)==null?void 0:c.minConfidence)||0);let r=await n.nms.array(),s=[],A=await n.scores.data();for(let i=0;i<r.length;i++){let y=A[r[i]];if(y>(((x=t.face.detector)==null?void 0:x.minConfidence)||0)){let d={};d.bbox=L.slice(n.boxes,[r[i],0],[1,-1]),d.slice=L.slice(n.batch,[r[i],b3-1],[1,-1]),d.squeeze=L.squeeze(d.slice),d.landmarks=L.reshape(d.squeeze,[b3,-1]);let p=await d.bbox.data(),f={startPoint:[p[0],p[1]],endPoint:[p[2],p[3]],landmarks:await d.landmarks.array(),confidence:y},b=x3(f,[(e.shape[2]||0)/Le,(e.shape[1]||0)/Le]),M=xt(b,t.face.scale||rA),T=yt(M);s.push(T),Object.keys(d).forEach(m=>L.dispose(d[m]))}}return Object.keys(n).forEach(i=>L.dispose(n[i])),s}var le=Z(H());var V0,Ce=0,AA=2.3,R5=oe.leftEyeLower0,M5=oe.rightEyeLower0,p2={leftBounds:[R5[0],R5[R5.length-1]],rightBounds:[M5[0],M5[M5.length-1]]},u2={upperCenter:3,lowerCenter:4,index:71,numCoordinates:76};async function k3(e){var t,n;return R.initial&&(V0=null),V0?e.debug&&u("cached model:",V0.modelUrl):V0=await O((t=e.face.iris)==null?void 0:t.modelPath),Ce=V0!=null&&V0.executor&&((n=V0.inputs)!=null&&n[0].shape)?V0.inputs[0].shape[2]:0,Ce===-1&&(Ce=64),V0}function ft(e,t,n,o){for(let r=0;r<o5.length;r++){let{key:s,indices:A}=o5[r],a=oe[`${n}${s}`];if(!o||o.includes(s))for(let l=0;l<A.length;l++){let c=A[l];e[a[l]]=[t[c][0],t[c][1],(t[c][2]+e[a[l]][2])/2]}}}var aA=e=>{let t=e[p2.leftBounds[0]][2],n=e[p2.rightBounds[0]][2];return t-n},R3=(e,t,n,o,r,s=!1)=>{let A=yt(xt(y3([e[n],e[o]]),AA)),a=y2(A),l=le.image.cropAndResize(t,[[A.startPoint[1]/r,A.startPoint[0]/r,A.endPoint[1]/r,A.endPoint[0]/r]],[0],[Ce,Ce]);if(s&&R.kernels.includes("flipleftright")){let c=le.image.flipLeftRight(l);le.dispose(l),l=c}return{box:A,boxSize:a,crop:l}},M3=(e,t,n,o=!1)=>{let r=[];for(let s=0;s<u2.numCoordinates;s++){let A=e[s*3],a=e[s*3+1],l=e[s*3+2];r.push([(o?1-A/Ce:A/Ce)*n[0]+t.startPoint[0],a/Ce*n[1]+t.startPoint[1],l])}return{rawCoords:r,iris:r.slice(u2.index)}},P3=(e,t,n)=>{let o=e[oe[`${n}EyeUpper0`][u2.upperCenter]][2],r=e[oe[`${n}EyeLower0`][u2.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 w3(e,t,n){if(!(V0!=null&&V0.executor))return e;let{box:o,boxSize:r,crop:s}=R3(e,t,p2.leftBounds[0],p2.leftBounds[1],n,!0),{box:A,boxSize:a,crop:l}=R3(e,t,p2.rightBounds[0],p2.rightBounds[1],n,!0),c=le.concat([s,l]);le.dispose(s),le.dispose(l);let x=V0.execute(c);le.dispose(c);let i=await x.data();le.dispose(x);let y=i.slice(0,u2.numCoordinates*3),{rawCoords:d,iris:p}=M3(y,o,r,!0),f=i.slice(u2.numCoordinates*3),{rawCoords:b,iris:M}=M3(f,A,a,!1),T=aA(e);Math.abs(T)<30?(ft(e,d,"left",null),ft(e,b,"right",null)):T<1?ft(e,d,"left",["EyeUpper0","EyeLower0"]):ft(e,b,"right",["EyeUpper0","EyeLower0"]);let m=P3(e,p,"left"),h=P3(e,M,"right");return e.concat(m).concat(h)}async function z3(e,t){var s,A,a,l,c,x,i,y,d,p;let n={lips:await((A=(s=t.filter(f=>f.size===160))==null?void 0:s[0])==null?void 0:A.data()),irisL:await((l=(a=t.filter(f=>f.size===10))==null?void 0:a[0])==null?void 0:l.data()),eyeL:await((x=(c=t.filter(f=>f.size===142))==null?void 0:c[0])==null?void 0:x.data()),irisR:await((y=(i=t.filter(f=>f.size===10))==null?void 0:i[1])==null?void 0:y.data()),eyeR:await((p=(d=t.filter(f=>f.size===142))==null?void 0:d[1])==null?void 0:p.data())};for(let f of Object.values(n))if(!f)return e;let o=$e.reduce((f,b)=>f+=e[b][2],0)/$e.length;for(let f=0;f<n.irisL.length/2;f++)e.push([n.irisL[2*f+0],n.irisL[2*f+1],o]);let r=e2.reduce((f,b)=>f+=e[b][2],0)/e2.length;for(let f=0;f<n.irisR.length/2;f++)e.push([n.irisR[2*f+0],n.irisR[2*f+1],r]);for(let f=0;f<n.eyeL.length/2;f++)e[$e[f]]=[n.eyeL[2*f+0],n.eyeL[2*f+1],e[$e[f]][2]];for(let f=0;f<n.eyeR.length/2;f++)e[e2[f]]=[n.eyeR[2*f+0],n.eyeR[2*f+1],e[e2[f]][2]];for(let f=0;f<n.lips.length/2;f++)e[L2[f]]=[n.lips[2*f+0],n.lips[2*f+1],e[L2[f]][2]];return e}var ue={boxes:[],skipped:Number.MAX_SAFE_INTEGER,timestamp:0},r0=null,C2=0;async function S3(e,t){var l,c,x,i,y,d,p,f,b,M;let n=(((l=t.face.detector)==null?void 0:l.skipTime)||0)>g()-ue.timestamp,o=ue.skipped<(((c=t.face.detector)==null?void 0:c.skipFrames)||0);!t.skipAllowed||!n||!o||ue.boxes.length===0?(ue.boxes=await T3(e,t),ue.timestamp=g(),ue.skipped=0):ue.skipped++;let r=[],s=[],A=0,a=C2;for(let T=0;T<ue.boxes.length;T++){let m=ue.boxes[T],h=0,S,P={id:A++,mesh:[],meshRaw:[],box:[0,0,0,0],boxRaw:[0,0,0,0],score:0,boxScore:0,faceScore:0,annotations:{}};if([h,S,P.tensor]=u3((x=t.face.detector)==null?void 0:x.rotation,m,e,(i=t.face.mesh)!=null&&i.enabled?C2:m2()),t.filter.equalization){let I=P.tensor?await Z2(P.tensor):void 0;We.dispose(P.tensor),I&&(P.tensor=I)}if(P.boxScore=Math.round(100*m.confidence)/100,!((y=t.face.mesh)!=null&&y.enabled)||!(r0!=null&&r0.executor)){P.box=ct(m,e),P.boxRaw=dt(m,e),P.score=P.boxScore,P.mesh=m.landmarks.map(I=>[(m.startPoint[0]+m.endPoint[0])/2+(m.endPoint[0]+m.startPoint[0])*I[0]/m2(),(m.startPoint[1]+m.endPoint[1])/2+(m.endPoint[1]+m.startPoint[1])*I[1]/m2()]),P.meshRaw=P.mesh.map(I=>[I[0]/(e.shape[2]||0),I[1]/(e.shape[1]||0),(I[2]||0)/a]);for(let I of Object.keys(Qe))P.annotations[I]=[P.mesh[Qe[I]]]}else if(!r0)t.debug&&u("face mesh detection requested, but 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N3=_e,I3=O2;var ce=Z(H());var lA=["angry","disgust","fear","happy","sad","surprise","neutral"],$0,mt=[],O3=0,L3=0,k5=Number.MAX_SAFE_INTEGER;async function C3(e){var t;return R.initial&&($0=null),$0?e.debug&&u("cached model:",$0.modelUrl):$0=await O((t=e.face.emotion)==null?void 0:t.modelPath),$0}async function w5(e,t,n,o){var A,a;if(!$0)return[];let r=k5<(((A=t.face.emotion)==null?void 0:A.skipFrames)||0),s=(((a=t.face.emotion)==null?void 0:a.skipTime)||0)>g()-L3;return t.skipAllowed&&s&&r&&O3===o&&mt[n]&&mt[n].length>0?(k5++,mt[n]):(k5=0,new Promise(async l=>{var x;let c=[];if((x=t.face.emotion)!=null&&x.enabled){let i={},y=$0!=null&&$0.inputs[0].shape?$0.inputs[0].shape[2]:0;i.resize=ce.image.resizeBilinear(e,[y,y],!1),i.channels=ce.mul(i.resize,C.rgb),i.grayscale=ce.sum(i.channels,3,!0),i.grayscaleSub=ce.sub(i.grayscale,C.tf05),i.grayscaleMul=ce.mul(i.grayscaleSub,C.tf2),i.emotion=$0==null?void 0:$0.execute(i.grayscaleMul),L3=g();let d=await i.emotion.data();for(let 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kt(e){return[Math.abs(e.endPoint[0]-e.startPoint[0]),Math.abs(e.endPoint[1]-e.startPoint[1])]}function W2(e){return[e.startPoint[0]+(e.endPoint[0]-e.startPoint[0])/2,e.startPoint[1]+(e.endPoint[1]-e.startPoint[1])/2]}function Wn(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 Cn.image.cropAndResize(t,s,[0],n)}function Dn(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 wt(e,t=1.5){let n=W2(e),o=kt(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 Et(e){let t=W2(e),n=kt(e),r=Math.max(...n)/2,s=[t[0]-r,t[1]-r],A=[t[0]+r,t[1]+r];return{startPoint:s,endPoint:A,palmLandmarks:e.palmLandmarks}}function PA(e){return e-2*Math.PI*Math.floor((e+Math.PI)/(2*Math.PI))}function Fn(e,t){let n=Math.PI/2-Math.atan2(-(t[1]-e[1]),t[0]-e[0]);return PA(n)}var On=(e,t)=>[[1,0,e],[0,1,t],[0,0,1]];function Ze(e,t){let n=0;for(let o=0;o<e.length;o++)n+=e[o]*t[o];return n}function kA(e,t){let n=[];for(let o=0;o<e.length;o++)n.push(e[o][t]);return n}function Ln(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(Ze(e[r],kA(t,s)))}return n}function J5(e,t){let n=Math.cos(e),o=Math.sin(e),r=[[n,-o,0],[o,n,0],[0,0,1]],s=On(t[0],t[1]),A=Ln(s,r),a=On(-t[0],-t[1]);return Ln(A,a)}function Bn(e){let t=[[e[0][0],e[1][0]],[e[0][1],e[1][1]]],n=[e[0][2],e[1][2]],o=[-Ze(t[0],n),-Ze(t[1],n)];return[t[0].concat(o[0]),t[1].concat(o[1]),[0,0,1]]}function Q5(e,t){return[Ze(e,t[0]),Ze(e,t[1])]}var 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o=W.concat2d([n.startPoints,n.endPoints],1);return Object.keys(n).forEach(r=>W.dispose(n[r])),o}normalizeLandmarks(t,n){let o={};o.reshape=W.reshape(t,[-1,7,2]),o.div=W.div(o.reshape,this.inputSizeTensor),o.landmarks=W.add(o.div,this.anchors[n]?this.anchors[n]:0);let r=W.mul(o.landmarks,this.inputSizeTensor);return Object.keys(o).forEach(s=>W.dispose(o[s])),r}async predict(t,n){var a;let o={};o.resize=W.image.resizeBilinear(t,[this.inputSize,this.inputSize]),o.div=W.div(o.resize,C.tf127),o.image=W.sub(o.div,C.tf1),o.batched=this.model.execute(o.image),o.predictions=W.squeeze(o.batched),o.slice=W.slice(o.predictions,[0,0],[-1,1]),o.sigmoid=W.sigmoid(o.slice),o.scores=W.squeeze(o.sigmoid);let r=await o.scores.data();o.boxes=W.slice(o.predictions,[0,1],[-1,4]),o.norm=this.normalizeBoxes(o.boxes),o.nms=await W.image.nonMaxSuppressionAsync(o.norm,o.scores,3*(((a=n.hand)==null?void 0:a.maxDetected)||1),n.hand.iouThreshold,n.hand.minConfidence);let s=await o.nms.array(),A=[];for(let l of s){let c={};c.box=W.slice(o.norm,[l,0],[1,-1]),c.slice=W.slice(o.predictions,[l,5],[1,14]),c.norm=this.normalizeLandmarks(c.slice,l),c.palmLandmarks=W.reshape(c.norm,[-1,2]);let x=await c.box.data(),i=x.slice(0,2),y=x.slice(2,4),d=await c.palmLandmarks.array(),p={startPoint:i,endPoint:y,palmLandmarks:d,confidence:r[l]},f=Dn(p,[(t.shape[2]||1)/this.inputSize,(t.shape[1]||0)/this.inputSize]);A.push(f),Object.keys(c).forEach(b=>W.dispose(c[b]))}return Object.keys(o).forEach(l=>W.dispose(o[l])),A}};var U0=Z(H());var zA=5,Vn=1.65,Zn=[0,5,9,13,17,1,2],SA=0,jA=2,Xn=0,St=class{constructor(t,n){k(this,"handDetector");k(this,"handPoseModel");k(this,"inputSize");k(this,"storedBoxes");k(this,"skipped");k(this,"detectedHands");var o,r,s;this.handDetector=t,this.handPoseModel=n,this.inputSize=((s=(r=(o=this.handPoseModel)==null?void 0:o.inputs)==null?void 0:r[0].shape)==null?void 0:s[2])||0,this.storedBoxes=[],this.skipped=Number.MAX_SAFE_INTEGER,this.detectedHands=0}calculateLandmarksBoundingBox(t){let n=t.map(A=>A[0]),o=t.map(A=>A[1]),r=[Math.min(...n),Math.min(...o)],s=[Math.max(...n),Math.max(...o)];return{startPoint:r,endPoint:s}}getBoxForPalmLandmarks(t,n){let o=t.map(s=>Q5([...s,1],n)),r=this.calculateLandmarksBoundingBox(o);return wt(Et(r),zA)}getBoxForHandLandmarks(t){let n=this.calculateLandmarksBoundingBox(t),o=wt(Et(n),Vn);o.palmLandmarks=[];for(let r=0;r<Zn.length;r++)o.palmLandmarks.push(t[Zn[r]].slice(0,2));return o}transformRawCoords(t,n,o,r){let s=kt(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=J5(o,[0,0]),c=a.map(d=>[...Q5(d,l),d[2]]),x=Bn(r),i=[...W2(n),1],y=[Ze(i,x[0]),Ze(i,x[1])];return c.map(d=>[Math.trunc(d[0]+y[0]),Math.trunc(d[1]+y[1]),Math.trunc(d[2])])}async estimateHands(t,n){let o=!1,r,s=(n.hand.skipTime||0)>g()-Xn,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?Fn(c.palmLandmarks[SA],c.palmLandmarks[jA]):0,i=W2(c),y=[i[0]/t.shape[2],i[1]/t.shape[1]],d=n.hand.rotation&&R.kernels.includes("rotatewithoffset")?U0.image.rotateWithOffset(t,x,0,y):t.clone(),p=J5(-x,i),f=o?this.getBoxForPalmLandmarks(c.palmLandmarks,p):c,b=Wn(f,d,[this.inputSize,this.inputSize]),M=U0.div(b,C.tf255);U0.dispose(b),U0.dispose(d);let[T,m]=this.handPoseModel.execute(M);Xn=g(),U0.dispose(M);let h=(await T.data())[0];if(U0.dispose(T),h>=n.hand.minConfidence/4){let S=U0.reshape(m,[-1,3]),P=await S.array();U0.dispose(m),U0.dispose(S);let I=this.transformRawCoords(P,f,x,p),q=this.getBoxForHandLandmarks(I);this.storedBoxes[l]={...q,confidence:h};let t0={landmarks:I,confidence:h,boxConfidence:c.confidence,fingerConfidence:h,box:{topLeft:q.startPoint,bottomRight:q.endPoint}};a.push(t0)}else this.storedBoxes[l]=null;U0.dispose(m)}else{let x=wt(Et(c),Vn),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]},a2,i2,Un;async function _5(e,t){let n=await Un.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=Pt(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 Yn(e){var n,o;R.initial&&(a2=null,i2=null),!a2||!i2?[a2,i2]=await Promise.all([e.hand.enabled?O((n=e.hand.detector)==null?void 0:n.modelPath):null,e.hand.landmarks?O((o=e.hand.skeleton)==null?void 0:o.modelPath):null]):(e.debug&&u("cached model:",a2.modelUrl),e.debug&&u("cached model:",i2.modelUrl));let t=a2?new zt(a2):void 0;return t&&i2&&(Un=new St(t,i2)),[a2,i2]}var Q=Z(H());var f0=[null,null],IA=["StatefulPartitionedCall/Postprocessor/Slice","StatefulPartitionedCall/Postprocessor/ExpandDims_1"],Xe=[[0,0],[0,0]],OA=["hand","fist","pinch","point","face","tip","pinchtip"],Jn=4,Qn=1.6,LA=512,CA=1.4,jt=Number.MAX_SAFE_INTEGER,$5=0,ke=[0,0],y0={boxes:[],hands:[]},_n={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 $n(e){var t;if(R.initial&&(f0[0]=null),f0[0])e.debug&&u("cached model:",f0[0].modelUrl);else{J2(["tensorlistreserve","enter","tensorlistfromtensor","merge","loopcond","switch","exit","tensorliststack","nextiteration","tensorlistsetitem","tensorlistgetitem","reciprocal","shape","split","where"],e),f0[0]=await O((t=e.hand.detector)==null?void 0:t.modelPath);let n=f0[0].executor?Object.values(f0[0].modelSignature.inputs):void 0;Xe[0][0]=Array.isArray(n)?parseInt(n[0].tensorShape.dim[1].size):0,Xe[0][1]=Array.isArray(n)?parseInt(n[0].tensorShape.dim[2].size):0}return f0[0]}async function eo(e){var t;if(R.initial&&(f0[1]=null),f0[1])e.debug&&u("cached model:",f0[1].modelUrl);else{f0[1]=await O((t=e.hand.skeleton)==null?void 0:t.modelPath);let n=f0[1].executor?Object.values(f0[1].modelSignature.inputs):void 0;Xe[1][0]=Array.isArray(n)?parseInt(n[0].tensorShape.dim[1].size):0,Xe[1][1]=Array.isArray(n)?parseInt(n[0].tensorShape.dim[2].size):0}return f0[1]}async function WA(e,t){let n=[];if(!e||!f0[0])return n;let o={},r=(e.shape[2]||1)/(e.shape[1]||1),s=Math.min(Math.round((e.shape[1]||0)/8)*8,LA),A=Math.round(s*r/8)*8;o.resize=Q.image.resizeBilinear(e,[s,A]),o.cast=Q.cast(o.resize,"int32"),[o.rawScores,o.rawBoxes]=await f0[0].executeAsync(o.cast,IA),o.boxes=Q.squeeze(o.rawBoxes,[0,2]),o.scores=Q.squeeze(o.rawScores,[0]);let a=Q.unstack(o.scores,1);Q.dispose(a[Jn]),a.splice(Jn,1),o.filtered=Q.stack(a,1),Q.dispose(a),o.max=Q.max(o.filtered,1),o.argmax=Q.argMax(o.filtered,1);let l=0;o.nms=await Q.image.nonMaxSuppressionAsync(o.boxes,o.max,(t.hand.maxDetected||0)+1,t.hand.iouThreshold||0,t.hand.minConfidence||1);let c=await o.nms.data(),x=await o.max.data(),i=await o.argmax.data();for(let y of Array.from(c)){let d=Q.slice(o.boxes,y,1),p=await d.data();Q.dispose(d);let f=[p[1],p[0],p[3]-p[1],p[2]-p[0]],b=st(f,CA),M=[Math.trunc(f[0]*ke[0]),Math.trunc(f[1]*ke[1]),Math.trunc(f[2]*ke[0]),Math.trunc(f[3]*ke[1])],T=x[y],m=OA[i[y]],h={id:l++,score:T,box:M,boxRaw:b,label:m};n.push(h)}return Object.keys(o).forEach(y=>Q.dispose(o[y])),n.sort((y,d)=>d.score-y.score),n.length>(t.hand.maxDetected||1)&&(n.length=t.hand.maxDetected||1),n}async function e1(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&&f0[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],[Xe[1][0],Xe[1][1]],"bilinear"),r.div=Q.div(r.crop,C.tf255),[r.score,r.keypoints]=f0[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]/Xe[1][1],i[1]/Xe[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=>[ke[0]*(i[0]+t.boxRaw[0]),ke[1]*(i[1]+t.boxRaw[1]),i[2]||0]),o.landmarks=Pt(o.keypoints);for(let i of Object.keys(_n))o.annotations[i]=_n[i].map(y=>o.landmarks&&o.keypoints[y]?o.keypoints[y]:null)}Object.keys(r).forEach(l=>Q.dispose(r[l]))}return o}async function t1(e,t){var r,s;if(!((r=f0[0])!=null&&r.executor)||!((s=f0[1])!=null&&s.executor)||!f0[0].inputs[0].shape||!f0[1].inputs[0].shape)return[];ke=[e.shape[2]||0,e.shape[1]||0],jt++;let n=(t.hand.skipTime||0)>g()-$5,o=jt<(t.hand.skipFrames||0);return t.skipAllowed&&n&&o?y0.hands:new Promise(async A=>{let a=3*(t.hand.skipTime||0)>g()-$5,l=jt<3*(t.hand.skipFrames||0);t.skipAllowed&&y0.hands.length===t.hand.maxDetected?y0.hands=await Promise.all(y0.boxes.map(x=>e1(e,x,t))):t.skipAllowed&&a&&l&&y0.hands.length>0?y0.hands=await Promise.all(y0.boxes.map(x=>e1(e,x,t))):(y0.boxes=await WA(e,t),$5=g(),y0.hands=await Promise.all(y0.boxes.map(x=>e1(e,x,t))),jt=0);let c=[...y0.boxes];if(y0.boxes.length=0,t.cacheSensitivity>0)for(let x=0;x<y0.hands.length;x++){let i=Q1(y0.hands[x].keypoints,ke);if(i.box[2]/(e.shape[2]||1)>.05&&i.box[3]/(e.shape[1]||1)>.05&&y0.hands[x].fingerScore&&y0.hands[x].fingerScore>(t.hand.minConfidence||0)){let y=st(i.box,Qn),d=st(i.boxRaw,Qn);y0.boxes.push({...c[x],box:y,boxRaw:d})}}for(let x=0;x<y0.hands.length;x++){let i=ve(y0.hands[x].keypoints,ke);y0.hands[x].box=i.box,y0.hands[x].boxRaw=i.boxRaw}A(y0.hands)})}var he=(e=null)=>({face:[],body:[],hand:[],gesture:[],object:[],persons:[],performance:{},timestamp:0,width:0,height:0,error:e});var D2={};ze(D2,{connected:()=>It,horizontal:()=>n1,kpt:()=>Nt,relative:()=>r1,vertical:()=>o1});var Nt=["nose","leftEye","rightEye","leftEar","rightEar","leftShoulder","rightShoulder","leftElbow","rightElbow","leftWrist","rightWrist","leftHip","rightHip","leftKnee","rightKnee","leftAnkle","rightAnkle"],n1=[["leftEye","rightEye"],["leftEar","rightEar"],["leftShoulder","rightShoulder"],["leftElbow","rightElbow"],["leftWrist","rightWrist"],["leftHip","rightHip"],["leftKnee","rightKnee"],["leftAnkle","rightAnkle"]],o1=[["leftKnee","leftShoulder"],["rightKnee","rightShoulder"],["leftAnkle","leftKnee"],["rightAnkle","rightKnee"]],r1=[[["leftHip","rightHip"],["leftShoulder","rightShoulder"]],[["leftElbow","rightElbow"],["leftShoulder","rightShoulder"]]],It={leftLeg:["leftHip","leftKnee","leftAnkle"],rightLeg:["rightHip","rightKnee","rightAnkle"],torso:["leftShoulder","rightShoulder","rightHip","leftHip","leftShoulder"],leftArm:["leftShoulder","leftElbow","leftWrist"],rightArm:["rightShoulder","rightElbow","rightWrist"],head:[]};var w=he(),s1=0;function no(e,t){var A,a,l,c,x,i,y,d,p,f,b,M,T,m,h,S,P,I,q,t0,G,$,A0;let n=g();if(!e)return he();let o=Date.now()-e.timestamp,r=o<1e3?8-Math.log(o+1):1;if(e.canvas&&(w.canvas=e.canvas),e.error&&(w.error=e.error),!w.body||e.body.length!==w.body.length)w.body=JSON.parse(JSON.stringify(e.body));else for(let v=0;v<e.body.length;v++){let V=e.body[v].box.map((B,X)=>((r-1)*w.body[v].box[X]+B)/r),n0=e.body[v].boxRaw.map((B,X)=>((r-1)*w.body[v].boxRaw[X]+B)/r),U=e.body[v].keypoints.map((B,X)=>{var z,ee,we,Ee,T0,P2,M1,P1,k1;return{score:B.score,part:B.part,position:[w.body[v].keypoints[X]?((r-1)*(w.body[v].keypoints[X].position[0]||0)+(B.position[0]||0))/r:B.position[0],w.body[v].keypoints[X]?((r-1)*(w.body[v].keypoints[X].position[1]||0)+(B.position[1]||0))/r:B.position[1],w.body[v].keypoints[X]?((r-1)*(w.body[v].keypoints[X].position[2]||0)+(B.position[2]||0))/r:B.position[2]],positionRaw:[w.body[v].keypoints[X]?((r-1)*(w.body[v].keypoints[X].positionRaw[0]||0)+(B.positionRaw[0]||0))/r:B.positionRaw[0],w.body[v].keypoints[X]?((r-1)*(w.body[v].keypoints[X].positionRaw[1]||0)+(B.positionRaw[1]||0))/r:B.positionRaw[1],w.body[v].keypoints[X]?((r-1)*(w.body[v].keypoints[X].positionRaw[2]||0)+(B.positionRaw[2]||0))/r:B.positionRaw[2]],distance:[w.body[v].keypoints[X]?((r-1)*(((z=w.body[v].keypoints[X].distance)==null?void 0:z[0])||0)+(((ee=B.distance)==null?void 0:ee[0])||0))/r:(we=B.distance)==null?void 0:we[0],w.body[v].keypoints[X]?((r-1)*(((Ee=w.body[v].keypoints[X].distance)==null?void 0:Ee[1])||0)+(((T0=B.distance)==null?void 0:T0[1])||0))/r:(P2=B.distance)==null?void 0:P2[1],w.body[v].keypoints[X]?((r-1)*(((M1=w.body[v].keypoints[X].distance)==null?void 0:M1[2])||0)+(((P1=B.distance)==null?void 0:P1[2])||0))/r:(k1=B.distance)==null?void 0:k1[2]]}}),g0={},m0={connected:{}};(A=t.body.modelPath)!=null&&A.includes("efficientpose")?m0=it:(a=t.body.modelPath)!=null&&a.includes("blazepose")?m0=ot:(l=t.body.modelPath)!=null&&l.includes("movenet")&&(m0=D2);for(let[B,X]of Object.entries(m0.connected)){let z=[];for(let ee=0;ee<X.length-1;ee++){let we=U.find(T0=>T0.part===X[ee]),Ee=U.find(T0=>T0.part===X[ee+1]);we&&Ee&&z.push([we.position,Ee.position])}g0[B]=z}w.body[v]={...e.body[v],box:V,boxRaw:n0,keypoints:U,annotations:g0}}if(!w.hand||e.hand.length!==w.hand.length)w.hand=JSON.parse(JSON.stringify(e.hand));else for(let v=0;v<e.hand.length;v++){let V=e.hand[v].box.map((m0,B)=>((r-1)*w.hand[v].box[B]+m0)/r),n0=e.hand[v].boxRaw.map((m0,B)=>((r-1)*w.hand[v].boxRaw[B]+m0)/r);w.hand[v].keypoints.length!==e.hand[v].keypoints.length&&(w.hand[v].keypoints=e.hand[v].keypoints);let U=e.hand[v].keypoints&&e.hand[v].keypoints.length>0?e.hand[v].keypoints.map((m0,B)=>m0.map((X,z)=>((r-1)*(w.hand[v].keypoints[B][z]||1)+(X||0))/r)):[],g0={};if(Object.keys(w.hand[v].annotations).length!==Object.keys(e.hand[v].annotations).length)w.hand[v].annotations=e.hand[v].annotations,g0=w.hand[v].annotations;else if(e.hand[v].annotations)for(let m0 of Object.keys(e.hand[v].annotations))g0[m0]=(i=(x=(c=e.hand[v])==null?void 0:c.annotations)==null?void 0:x[m0])!=null&&i[0]?e.hand[v].annotations[m0].map((B,X)=>B.map((z,ee)=>((r-1)*w.hand[v].annotations[m0][X][ee]+z)/r)):null;w.hand[v]={...e.hand[v],box:V,boxRaw:n0,keypoints:U,annotations:g0}}if(!w.face||e.face.length!==w.face.length)w.face=JSON.parse(JSON.stringify(e.face));else for(let v=0;v<e.face.length;v++){let V=e.face[v].box.map((U,g0)=>((r-1)*w.face[v].box[g0]+U)/r),n0=e.face[v].boxRaw.map((U,g0)=>((r-1)*w.face[v].boxRaw[g0]+U)/r);if(e.face[v].rotation){let U={matrix:[0,0,0,0,0,0,0,0,0],angle:{roll:0,yaw:0,pitch:0},gaze:{bearing:0,strength:0}};U.matrix=(y=e.face[v].rotation)==null?void 0:y.matrix,U.angle={roll:((r-1)*(((p=(d=w.face[v].rotation)==null?void 0:d.angle)==null?void 0:p.roll)||0)+(((b=(f=e.face[v].rotation)==null?void 0:f.angle)==null?void 0:b.roll)||0))/r,yaw:((r-1)*(((T=(M=w.face[v].rotation)==null?void 0:M.angle)==null?void 0:T.yaw)||0)+(((h=(m=e.face[v].rotation)==null?void 0:m.angle)==null?void 0:h.yaw)||0))/r,pitch:((r-1)*(((P=(S=w.face[v].rotation)==null?void 0:S.angle)==null?void 0:P.pitch)||0)+(((q=(I=e.face[v].rotation)==null?void 0:I.angle)==null?void 0:q.pitch)||0))/r},U.gaze={bearing:((r-1)*(((t0=w.face[v].rotation)==null?void 0:t0.gaze.bearing)||0)+(((G=e.face[v].rotation)==null?void 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n=(ae.version.tfjs||ae.version_core).replace(/-(.*)/,"");Ye.wasmPath=`https://cdn.jsdelivr.net/npm/@tensorflow/tfjs-backend-wasm@${n}/dist/`,Ye.modelBasePath=R.browser?"../models/":"file://models/",this.version=$t,Object.defineProperty(this,"version",{value:$t}),this.config=JSON.parse(JSON.stringify(Ye)),Object.seal(this.config),this.config.cacheModels=typeof indexedDB!="undefined",t&&(this.config=a0(this.config,t)),B1(this.config),this.tf=ae,this.state="idle",ge(this,M2,0),ge(this,G2,!1),ge(this,V2,!1),this.performance={},this.events=typeof EventTarget!="undefined"?new EventTarget:void 0,this.models=new H2(this),A5(),this.result=he(),this.process={tensor:null,canvas:null},this.faceTriangulation=N3,this.faceUVMap=I3,Ht(this,null,""),this.emit("create"),(this.config.debug||this.env.browser)&&u(`version: ${this.version}`),this.config.debug&&u(`tfjs version: ${this.tf.version["tfjs-core"]}`);let o=JSON.parse(JSON.stringify(this.env));delete o.kernels,delete o.initial,delete 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0:V.modelPath)!=null&&n0.includes("handtrack")&&(x=this.config.hand.enabled?await t1(a.tensor,d):[]),this.performance.hand=this.env.perfadd?(this.performance.hand||0)+Math.trunc(g()-r):Math.trunc(g()-r)),this.analyze("End Hand:"),this.analyze("Start Object:"),this.state="detect:object",this.config.async?((U=this.config.object.modelPath)!=null&&U.includes("nanodet")?i=this.config.object.enabled?x1(a.tensor,this.config):[]:(g0=this.config.object.modelPath)!=null&&g0.includes("centernet")&&(i=this.config.object.enabled?f5(a.tensor,this.config):[]),this.performance.object&&delete this.performance.object):(r=g(),(m0=this.config.object.modelPath)!=null&&m0.includes("nanodet")?i=this.config.object.enabled?await x1(a.tensor,this.config):[]:(B=this.config.object.modelPath)!=null&&B.includes("centernet")&&(i=this.config.object.enabled?await f5(a.tensor,this.config):[]),this.performance.object=this.env.perfadd?(this.performance.object||0)+Math.trunc(g()-r):Math.trunc(g()-r)),this.analyze("End Object:"),this.state="detect:await",this.config.async&&([l,c,x,i]=await Promise.all([l,c,x,i])),this.state="detect:gesture";let p=[];this.config.gesture.enabled&&(r=g(),p=[...jn(l),...Sn(c),...In(x),...Nn(l)],this.config.async?this.performance.gesture&&delete this.performance.gesture:this.performance.gesture=this.env.perfadd?(this.performance.gesture||0)+Math.trunc(g()-r):Math.trunc(g()-r)),this.performance.total=this.env.perfadd?(this.performance.total||0)+Math.trunc(g()-A):Math.trunc(g()-A);let f=((X=this.process.tensor)==null?void 0:X.shape)||[0,0,0,0];this.result={face:l,body:c,hand:x,gesture:p,object:i,performance:this.performance,canvas:this.process.canvas,timestamp:Date.now(),error:null,width:f[2],height:f[1],get persons(){return jo(l,c,x,p,f)}},ae.dispose(a.tensor),this.emit("detect"),this.state="idle",o(this.result)})}async sleep(t){return new Promise(n=>{setTimeout(n,t)})}async video(t,n=!0,o=0){n?(G0(this,Ue)[t.id]||(this.config.debug&&u("video start",t.id),G0(this,Ue)[t.id]=!0),!t.paused&&G0(this,Ue)[t.id]&&t.readyState>=2&&await this.detect(t),o>0&&await this.sleep(o),G0(this,Ue)[t.id]&&requestAnimationFrame(()=>this.video(t,n,o))):(this.config.debug&&u("video stop",t.id),G0(this,Ue)[t.id]=!1)}};M2=new WeakMap,G2=new WeakMap,V2=new WeakMap,Zt=new WeakMap,Ue=new WeakMap;0&&(module.exports={Env,Human,defaults,draw,empty,env,match,models});