human/dist/human.esm-nobundle.js

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2020-11-20 14:53:40 +01:00
/*
Human library
homepage: <https://github.com/vladmandic/human>
author: <https://github.com/vladmandic>'
*/
2021-06-03 15:41:53 +02:00
var fA=Object.defineProperty;var Me=Object.getOwnPropertyDescriptor;var Te=Object.getOwnPropertyNames;var Pe=Object.prototype.hasOwnProperty;var e0=(A,e)=>{for(var t in e)fA(A,t,{get:e[t],enumerable:!0})},h=(A,e,t)=>{if(e&&typeof e=="object"||typeof e=="function")for(let o of Te(e))!Pe.call(A,o)&&o!=="default"&&fA(A,o,{get:()=>e[o],enumerable:!(t=Me(e,o))||t.enumerable});return A};var mA=(A,e,t)=>{if(!e.has(A))throw TypeError("Cannot "+t)};var q=(A,e,t)=>(mA(A,e,"read from private field"),t?t.call(A):e.get(A)),D=(A,e,t)=>{if(e.has(A))throw TypeError("Cannot add the same private member more than once");e instanceof WeakSet?e.add(A):e.set(A,t)},Q=(A,e,t,o)=>(mA(A,e,"write to private field"),o?o.call(A,t):e.set(A,t),t);function Z(A,e){let t=A.endsWith("/")?"":"/",n=e.startsWith(".")||e.startsWith("/")||e.startsWith("http:")||e.startsWith("https:")||e.startsWith("file:")?`${e}`:`${A}${t}${e}`;if(!n.toLocaleLowerCase().includes(".json"))throw new Error(`Human: ModelPath Error: ${n} Expecting JSON file`);return n}function g(...A){let e=new Date,t=`${e.getHours().toString().padStart(2,"0")}:${e.getMinutes().toString().padStart(2,"0")}:${e.getSeconds().toString().padStart(2,"0")}.${e.getMilliseconds().toString().padStart(3,"0")}`;A&&console.log(t,"Human:",...A)}var N=()=>typeof performance!="undefined"?performance.now():parseInt((Number(process.hrtime.bigint())/1e3/1e3).toString());function U(...A){let e=t=>t&&typeof t=="object";return A.reduce((t,o)=>(Object.keys(o||{}).forEach(n=>{let x=t[n],a=o[n];Array.isArray(x)&&Array.isArray(a)?t[n]=x.concat(...a):e(x)&&e(a)?t[n]=U(x,a):t[n]=a}),t),{})}var hA={backend:"webgl",modelBasePath:"../models/",wasmPath:"../node_modules/@tensorflow/tfjs-backend-wasm/dist/",debug:!0,async:!0,warmup:"full",cacheSensitivity:.75,skipFrame:!1,filter:{enabled:!0,width:0,height:0,flip:!1,return:!0,brightness:0,contrast:0,sharpness:0,blur:0,saturation:0,hue:0,negative:!1,sepia:!1,vintage:!1,kodachrome:!1,technicolor:!1,polaroid:!1,pixelate:0},gesture:{enabled:!0},face:{enabled:!0,detector:{modelPath:"blazeface.json",rotation:!0,maxDetected:15,skipFrames:15,minConfidence:.2,iouThreshold:.1,return:!1},mesh:{enabled:!0,modelPath:"facemesh.json"},iris:{enabled:!0,modelPath:"iris.json"},description:{enabled:!0,modelPath:"faceres.json",skipFrames:16,minConfidence:.1},emotion:{enabled:!0,minConfidence:.1,skipFrames:17,modelPath:"emotion.json"}},body:{enabled:!0,modelPath:"movenet-lightning.json",maxDetected:1,minConfidence:.2,skipFrames:16},hand:{enabled:!0,rotation:!0,skipFrames:19,minConfidence:.1,iouThreshold:.1,maxDetected:2,landmarks:!0,detector:{modelPath:"handdetect.json"},skeleton:{modelPath:"handskeleton.json"}},object:{enabled:!1,modelPath:"mb3-centernet.json",minConfidence:.2,iouThreshold:.4,maxDetected:10,skipFrames:20}};function uA(){let A,e;if(typeof navigator!="undefined"){let t=navigator.userAgent.match(/\(([^()]+)\)/g);if(t&&t[0]){let o=t[0].match(/\(([^()]+)\)/g);A=o?o[0].replace(/\(|\)/g,""):"",e=navigator.userAgent.replace(t[0],""),A[1]&&(e=e.replace(t[1],"")),e=e.replace(/ /g," ")}}else typeof process!="undefined"&&(A=`${process.platform} ${process.arch}`,e=`NodeJS ${process.version}`);return{platform:A,agent:e}}var r={};e0(r,{data:()=>Re,version:()=>je});h(r,m2);h(r,h2);h(r,u2);h(r,p2);h(r,b2);h(r,g2);import*as pA from"@tensorflow/tfjs/package.json";import*as bA from"@tensorflow/tfjs-core/package.json";import*as gA from"@tensorflow/tfjs-data/package.json";import*as MA from"@tensorflow/tfjs-layers/package.json";import*as TA from"@tensorflow/tfjs-converter/package.json";import{version_cpu as ze}from"@tensorflow/tfjs-backend-cpu/dist/index.js";import{version_webgl as ve}from"@tensorflow/tfjs-backend-webgl/dist/index.js";import{version_wasm as Ee}from"@tensorflow/tfjs-backend-wasm/dist/index.js";import*as m2 from"@tensorflow/tfjs-core/dist/index.js";import*as h2 from"@tensorflow/tfjs-layers/dist/index.js";import*as u2 from"@tensorflow/tfjs-converter/dist/index.js";import*as Re from"@tensorflow/tfjs-data/dist/index.js";import*as p2 from"@tensorflow/tfjs-backend-cpu/dist/index.js";import*as b2
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`)}var _0=2048,R,L,X;function yA(A,e){let t;if(!A)throw new Error("Human: Input is missing");if(!(A instanceof r.Tensor)&&!(typeof Image!="undefined"&&A instanceof Image)&&!(typeof ImageData!="undefined"&&A instanceof ImageData)&&!(typeof ImageBitmap!="undefined"&&A instanceof ImageBitmap)&&!(typeof HTMLImageElement!="undefined"&&A instanceof HTMLImageElement)&&!(typeof HTMLMediaElement!="undefined"&&A instanceof HTMLMediaElement)&&!(typeof HTMLVideoElement!="undefined"&&A instanceof HTMLVideoElement)&&!(typeof HTMLCanvasElement!="undefined"&&A instanceof HTMLCanvasElement)&&!(typeof OffscreenCanvas!="undefined"&&A instanceof OffscreenCanvas))throw new Error("Human: Input type is not recognized");if(A instanceof r.Tensor)if(A.shape&&A.shape.length===4&&A.shape[0]===1&&A.shape[3]===3)t=r.clone(A);else throw new Error(`Human: Input tensor shape must be [1, height, width, 3] and instead was ${A.shape}`);else{let n=A.naturalWidth||A.videoWidth||A.width||A.shape&&A.shape[1]>0,x=A.naturalHeight||A.videoHeight||A.height||A.shape&&A.shape[2]>0;if(!n||!x)return{tensor:null,canvas:R};let a=n,s=x;if(a>_0&&(a=_0,s=a*x/n),s>_0&&(s=_0,a=s*n/x),e.filter.width>0?a=e.filter.width:e.filter.height>0&&(a=n*(e.filter.height/x)),e.filter.height>0?s=e.filter.height:e.filter.width>0&&(s=x*(e.filter.width/n)),!a||!s)throw new Error("Human: Input cannot determine dimension");(!R||(R==null?void 0:R.width)!==a||(R==null?void 0:R.height)!==s)&&(R=typeof OffscreenCanvas!="undefined"?new OffscreenCanvas(a,s):document.createElement("canvas"),(R==null?void 0:R.width)!==a&&(R.width=a),(R==null?void 0:R.height)!==s&&(R.height=s));let y=R.getContext("2d");if(A instanceof ImageData?y.putImageData(A,0,0):e.filter.flip&&typeof y.translate!="undefined"?(y.translate(n,0),y.scale(-1,1),y.drawImage(A,0,0,n,x,0,0,R==null?void 0:R.width,R==null?void 0:R.height),y.setTransform(1,0,0,1,0,0)):y.drawImage(A,0,0,n,x,0,0,R==null?void 0:R.width,R==null?void 0:R.height),e.filter.enabled){if((!X||!L||R.width!==L.width||(R==null?void 0:R.height)!==(L==null?void 0:L.height))&&(L=typeof OffscreenCanvas!="undefined"?new OffscreenCanvas(R==null?void 0:R.width,R==null?void 0:R.height):document.createElement("canvas"),(L==null?void 0:L.width)!==(R==null?void 0:R.width)&&(L.width=R==null?void 0:R.width),(L==null?void 0:L.height)!==(R==null?void 0:R.height)&&(L.height=R==null?void 0:R.height),X=r.ENV.flags.IS_BROWSER?new ce({canvas:L}):null),!X)return{tensor:null,canvas:R};X.reset(),X.addFilter("brightness",e.filter.brightness),e.filter.contrast!==0&&X.addFilter("contrast",e.filter.contrast),e.filter.sharpness!==0&&X.addFilter("sharpen",e.filter.sharpness),e.filter.blur!==0&&X.addFilter("blur",e.filter.blur),e.filter.saturation!==0&&X.addFilter("saturation",e.filter.saturation),e.filter.hue!==0&&X.addFilter("hue",e.filter.hue),e.filter.negative&&X.addFilter("negative"),e.filter.sepia&&X.addFilter("sepia"),e.filter.vintage&&X.addFilter("brownie"),e.filter.sepia&&X.addFilter("sepia"),e.filter.kodachrome&&X.addFilter("kodachrome"),e.filter.technicolor&&X.addFilter("technicolor"),e.filter.polaroid&&X.addFilter("polaroid"),e.filter.pixelate!==0&&X.addFilter("pixelate",e.filter.pixelate),X.apply(R)}else L=R,X&&(X=null);let i;if(L.data){let l=[L.height,L.width,3];i=r.tensor3d(L.data,l,"int32")}else if(L instanceof ImageData)i=r.browser.fromPixels(L);else if(e.backend==="webgl"||e.backend==="humangl"){let l=typeof OffscreenCanvas!="undefined"?new OffscreenCanvas(a,s):document.createElement("canvas");l.width=a,l.height=s;let f=l.getContext("2d");f==null||f.drawImage(L,0,0),i=r.browser.fromPixels(l)}else{let l=typeof OffscreenCanvas!="undefined"?new OffscreenCanvas(a,s):document.createElement("canvas");l.width=a,l.height=s;let f=l.getContext("2d");f==null||f.drawImage(L,0,0);let p=f==null?void 0:f.getImageData(0,0,a,s);i=r.browser.fromPixels(p)}let c=i.toFloat();t=c.expandDims(0),i.dispose(),c.dispose()}let o=e.filter.return?L:null;return{tensor:t,canvas:o}}var dA={};e0(dA,{all:()=>s2,body:()=>me,canvas:()=>o2,face:()=>fe,gesture:()=>de,hand:()=>he,object:()=>ue,options:()=>y0,person:()=>n2}
2020-12-10 21:47:43 +01:00
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2021-06-03 15:41:53 +02:00
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2020-12-12 16:15:51 +01:00
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2Q==`;var ge="2.0.0";var T0,k0,N0,c0,d0,P0,t5,I0,n5,o5,s5,r5,i2=class{constructor(e){D(this,T0,void 0);D(this,k0,void 0);D(this,N0,void 0);D(this,c0,void 0);D(this,d0,void 0);D(this,P0,void 0);this.analyze=(...e)=>{if(!q(this,k0))return;let t=this.tf.engine().state.numTensors,o=q(this,T0);Q(this,T0,t);let n=t-o;n!==0&&g(...e,n)};D(this,t5,e=>{if(!q(this,N0))return null;if(!e)return"input is not defined";if(this.tf.ENV.flags.IS_NODE&&!(e instanceof r.Tensor))return"input must be a tensor";try{this.tf.getBackend()}catch(t){return"backend not loaded"}return null});D(this,I0,async(e=!1)=>{var t;if(this.config.backend&&this.config.backend.length>0&&e||this.tf.getBackend()!==this.config.backend){let o=N();if(this.state="backend",this.config.backend&&this.config.backend.length>0){if(typeof window=="undefined"&&typeof WorkerGlobalScope!="undefined"&&this.config.debug&&g("running inside web worker"),this.tf.ENV.flags.IS_BROWSER&&this.config.backend==="tensorflow"&&(this.config.backend="webgl"),this.tf.ENV.flags.IS_NODE&&(this.config.backend==="webgl"||this.config.backend==="humangl")&&(this.config.backend="tensorflow"),this.config.debug&&g("setting backend:",this.config.backend),this.config.backend==="wasm"){if(this.config.debug&&g("wasm path:",this.config.wasmPath),typeof((t=this.tf)==null?void 0:t.setWasmPaths)!="undefined")this.tf.setWasmPaths(this.config.wasmPath);else throw new Error("Human: WASM backend is not loaded");let n=await this.tf.env().getAsync("WASM_HAS_SIMD_SUPPORT"),x=await this.tf.env().getAsync("WASM_HAS_MULTITHREAD_SUPPORT");this.config.debug&&g(`wasm execution: ${n?"SIMD":"no SIMD"} ${x?"multithreaded":"singlethreaded"}`),this.config.debug&&!n&&g("warning: wasm simd support is not enabled")}this.config.backend==="humangl"&&PA();try{await this.tf.setBackend(this.config.backend)}catch(n){g("error: cannot set backend:",this.config.backend,n)}}if(this.tf.enableProdMode(),this.tf.getBackend()==="webgl"||this.tf.getBackend()==="humangl"){this.tf.ENV.set("CHECK_COMPUTATION_FOR_ERRORS",!1),this.tf.ENV.set("WEBGL_CPU_FORWARD",!0),this.tf.ENV.set("WEBGL_PACK_DEPTHWISECONV",!0),this.config.object.enabled||this.tf.ENV.set("WEBGL_FORCE_F16_TEXTURES",!0),typeof this.config.deallocate!="undefined"&&this.config.deallocate&&(g("changing webgl: WEBGL_DELETE_TEXTURE_THRESHOLD:",!0),this.tf.ENV.set("WEBGL_DELETE_TEXTURE_THRESHOLD",0));let n=await this.tf.backend().getGPGPUContext().gl;this.config.debug&&g(`gl version:${n.getParameter(n.VERSION)} renderer:${n.getParameter(n.RENDERER)}`)}await this.tf.ready(),this.performance.backend=Math.trunc(N()-o)}});this.next=e=>be(e||this.result);D(this,n5,async e=>{if(this.config.cacheSensitivity===0)return!1;let t=32,o=e.resizeBilinear([Math.trunc(e.shape[1]/t),Math.trunc(e.shape[2]/t)]),n=o.dataSync(),x=0;for(let y=0;y<n.length/3;y++)x+=n[3*y+2];o.dispose();let a=100*(Math.max(x,q(this,d0))/Math.min(x,q(this,d0))-1);Q(this,d0,x);let s=a<Math.max(this.config.cacheSensitivity,q(this,P0));return Q(this,P0,a>10*this.config.cacheSensitivity?0:a),s});D(this,o5,async()=>{let e=(n,x="application/octet-stream")=>fetch(`data:${x};base64,${n}`).then(a=>a.blob()),t,o;switch(this.config.warmup){case"face":t=await e(A5);break;case"full":t=await e(e5);break;default:t=null}if(t){let n=await createImageBitmap(t);o=await this.detect(n,this.config),n.close()}return o});D(this,s5,async()=>new Promise(e=>{let t,o=0;switch(this.config.warmup){case"face":o=256,t="data:image/jpeg;base64,"+A5;break;case"full":case"body":o=1200,t="data:image/jpeg;base64,"+e5;break;default:t=null}let n=new Image;n.onload=async()=>{let x=typeof OffscreenCanvas!="undefined"?new OffscreenCanvas(o,o):document.createElement("canvas");x.width=n.naturalWidth,x.height=n.naturalHeight;let a=x.getContext("2d");a==null||a.drawImage(n,0,0);let s=await this.detect(x,this.config);e(s)},t?n.src=t:e(null)}));D(this,r5,async()=>{let e=n=>Buffer.from(n,"base64"),t;if(this.config.warmup==="face"&&(t=e(A5)),(this.config.warmup==="body"||this.config.warmup==="full")&&(t=e(e5)),!t)return null;let o;if(typeof r.node!="undefined"){let n=r.node.decodeJpe
2020-10-15 14:16:34 +02:00
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