diff --git a/CHANGELOG.md b/CHANGELOG.md index 17191ac5..1845cacc 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -1,6 +1,6 @@ # @vladmandic/human - Version: **2.9.3** + Version: **2.9.4** Description: **Human: AI-powered 3D Face Detection & Rotation Tracking, Face Description & Recognition, Body Pose Tracking, 3D Hand & Finger Tracking, Iris Analysis, Age & Gender & Emotion Prediction, Gesture Recognition** Author: **Vladimir Mandic ** @@ -9,7 +9,10 @@ ## Changelog -### **HEAD -> main** 2022/08/15 mandic00@live.com +### **2.9.4** 2022/08/20 mandic00@live.com + + +### **origin/main** 2022/08/19 mandic00@live.com - add tensorflow library detection - fix wasm detection diff --git a/README.md b/README.md index d5af0c0e..e0b0362d 100644 --- a/README.md +++ b/README.md @@ -47,6 +47,8 @@ JavaScript module using TensorFlow/JS Machine Learning library ### Browser Demos +*All browser demos are self-contained without any external dependencies* + - **Full** [[*Live*]](https://vladmandic.github.io/human/demo/index.html) [[*Details*]](https://github.com/vladmandic/human/tree/main/demo): Main browser demo app that showcases all Human capabilities - **Simple** [[*Live*]](https://vladmandic.github.io/human/demo/typescript/index.html) [[*Details*]](https://github.com/vladmandic/human/tree/main/demo/typescript): Simple demo in WebCam processing demo in TypeScript - **Face Match** [[*Live*]](https://vladmandic.github.io/human/demo/facematch/index.html) [[*Details*]](https://github.com/vladmandic/human/tree/main/demo/facematch): Extract faces from images, calculates face descriptors and simmilarities and matches them to known database @@ -60,6 +62,9 @@ JavaScript module using TensorFlow/JS Machine Learning library ### NodeJS Demos +*NodeJS demos may require extra dependencies which are used to decode inputs* +*See header of each demo to see its dependencies as they are not automatically installed with `Human`* + - **Main** [[*Details*]](https://github.com/vladmandic/human/tree/main/demo/nodejs): Process images from files, folders or URLs using native methods - **Canvas** [[*Details*]](https://github.com/vladmandic/human/tree/main/demo/nodejs): Process image from file or URL and draw results to a new image file using `node-canvas` - **Video** [[*Details*]](https://github.com/vladmandic/human/tree/main/demo/nodejs): Processing of video input using `ffmpeg` @@ -69,7 +74,6 @@ JavaScript module using TensorFlow/JS Machine Learning library - **Face Match** [[*Details*]](https://github.com/vladmandic/human/tree/main/demo/facematch): Parallel processing of face **match** in multiple child worker threads - **Multiple Workers** [[*Details*]](https://github.com/vladmandic/human/tree/main/demo/nodejs): Runs multiple parallel `human` by dispaching them to pool of pre-created worker processes - ## Project pages - [**Code Repository**](https://github.com/vladmandic/human) diff --git a/demo/benchmark/node.js b/demo/benchmark/node.js index fd1bbda7..eb11a152 100644 --- a/demo/benchmark/node.js +++ b/demo/benchmark/node.js @@ -1,7 +1,6 @@ -// eslint-disable-next-line no-unused-vars, @typescript-eslint/no-unused-vars const tf = require('@tensorflow/tfjs-node-gpu'); const log = require('@vladmandic/pilogger'); -const canvasJS = require('canvas'); +const canvasJS = require('canvas'); // eslint-disable-line node/no-missing-require const Human = require('../../dist/human.node-gpu.js').default; const input = './samples/in/group-1.jpg'; @@ -45,7 +44,7 @@ async function main() { log.header(); const human = new Human(myConfig); await human.tf.ready(); - log.info('Human:', human.version); + log.info('Human:', human.version, 'TF:', tf.version_core); await human.load(); const loaded = Object.keys(human.models).filter((a) => human.models[a]); log.info('Loaded:', loaded); diff --git a/demo/facematch/node-match-worker.js b/demo/facematch/node-match-worker.js index 35cdbc7d..e8556db5 100644 --- a/demo/facematch/node-match-worker.js +++ b/demo/facematch/node-match-worker.js @@ -1,3 +1,8 @@ +/** + * Runs in a worker thread started by `node-match` demo app + * + */ + const threads = require('worker_threads'); let debug = false; diff --git a/demo/facematch/node-match.js b/demo/facematch/node-match.js index 95e5b96a..16e7a5cd 100644 --- a/demo/facematch/node-match.js +++ b/demo/facematch/node-match.js @@ -1,3 +1,9 @@ +/** + * Human demo app for NodeJS that generates random facial descriptors + * and uses NodeJS multi-threading to start multiple threads for face matching + * uses `node-match-worker.js` to perform actual face matching analysis + */ + const fs = require('fs'); const path = require('path'); const log = require('@vladmandic/pilogger'); diff --git a/demo/nodejs/node-canvas.js b/demo/nodejs/node-canvas.js index 184ffe0d..832a7fc9 100644 --- a/demo/nodejs/node-canvas.js +++ b/demo/nodejs/node-canvas.js @@ -1,13 +1,13 @@ /** * Human demo for NodeJS using Canvas library + * + * Requires [canvas](https://www.npmjs.com/package/canvas) to provide Canvas functionality in NodeJS environment */ const fs = require('fs'); const process = require('process'); const log = require('@vladmandic/pilogger'); -const canvas = require('canvas'); - -// eslint-disable-next-line import/no-extraneous-dependencies, no-unused-vars, @typescript-eslint/no-unused-vars +const canvas = require('canvas'); // eslint-disable-line node/no-extraneous-require, node/no-missing-require const tf = require('@tensorflow/tfjs-node'); // in nodejs environments tfjs-node is required to be loaded before human // const human = require('@vladmandic/human'); // use this when human is installed as module (majority of use cases) const Human = require('../../dist/human.node.js'); // use this when using human in dev mode @@ -31,7 +31,7 @@ async function main() { // init const human = new Human.Human(config); // create instance of human - log.info('Human:', human.version); + log.info('Human:', human.version, 'TF:', tf.version_core); await human.load(); // pre-load models log.info('Loaded models:', Object.keys(human.models).filter((a) => human.models[a])); diff --git a/demo/nodejs/node-event.js b/demo/nodejs/node-event.js index 90cd823d..a5912849 100644 --- a/demo/nodejs/node-event.js +++ b/demo/nodejs/node-event.js @@ -8,7 +8,6 @@ const process = require('process'); let fetch; // fetch is dynamically imported later -// eslint-disable-next-line import/no-extraneous-dependencies, no-unused-vars, @typescript-eslint/no-unused-vars const tf = require('@tensorflow/tfjs-node'); // in nodejs environments tfjs-node is required to be loaded before human // const human = require('@vladmandic/human'); // use this when human is installed as module (majority of use cases) const Human = require('../../dist/human.node.js'); // use this when using human in dev mode @@ -38,7 +37,7 @@ async function detect(input) { let buffer; log.info('Loading image:', input); if (input.startsWith('http:') || input.startsWith('https:')) { - fetch = (await import('node-fetch')).default; + fetch = (await import('node-fetch')).default; // eslint-disable-line node/no-extraneous-require, node/no-missing-import const res = await fetch(input); if (res && res.ok) buffer = await res.buffer(); else log.error('Invalid image URL:', input, res.status, res.statusText, res.headers.get('content-type')); @@ -59,6 +58,7 @@ async function main() { log.header(); human = new Human.Human(myConfig); + log.info('Human:', human.version, 'TF:', tf.version_core); if (human.events) { human.events.addEventListener('warmup', () => { diff --git a/demo/nodejs/node-fetch.js b/demo/nodejs/node-fetch.js index ab642fb5..aefe04c0 100644 --- a/demo/nodejs/node-fetch.js +++ b/demo/nodejs/node-fetch.js @@ -1,4 +1,10 @@ +/** + * Human demo for NodeJS using http fetch to get image file + * + * Requires [node-fetch](https://www.npmjs.com/package/node-fetch) to provide `fetch` functionality in NodeJS environment + */ const fs = require('fs'); +const log = require('@vladmandic/pilogger'); // eslint-disable-next-line import/no-extraneous-dependencies, no-unused-vars, @typescript-eslint/no-unused-vars const tf = require('@tensorflow/tfjs-node'); // in nodejs environments tfjs-node is required to be loaded before human @@ -11,15 +17,15 @@ const humanConfig = { async function main(inputFile) { // @ts-ignore - global.fetch = (await import('node-fetch')).default; + global.fetch = (await import('node-fetch')).default; // eslint-disable-line node/no-extraneous-require, node/no-missing-import const human = new Human.Human(humanConfig); // create instance of human using default configuration + log.info('Human:', human.version, 'TF:', tf.version_core); await human.load(); // optional as models would be loaded on-demand first time they are required await human.warmup(); // optional as model warmup is performed on-demand first time its executed const buffer = fs.readFileSync(inputFile); // read file data into buffer const tensor = human.tf.node.decodeImage(buffer); // decode jpg data const result = await human.detect(tensor); // run detection; will initialize backend and on-demand load models - // eslint-disable-next-line no-console - console.log(result.gesture); + log.data(result.gesture); } main('samples/in/ai-body.jpg'); diff --git a/demo/nodejs/node-simple.js b/demo/nodejs/node-simple.js index 0bd893ff..57447726 100644 --- a/demo/nodejs/node-simple.js +++ b/demo/nodejs/node-simple.js @@ -1,7 +1,10 @@ +/** + * Human simple demo for NodeJS + */ + const fs = require('fs'); const process = require('process'); -// eslint-disable-next-line import/no-extraneous-dependencies, no-unused-vars, @typescript-eslint/no-unused-vars const tf = require('@tensorflow/tfjs-node'); // in nodejs environments tfjs-node is required to be loaded before human // const human = require('@vladmandic/human'); // use this when human is installed as module (majority of use cases) const Human = require('../../dist/human.node.js'); // use this when using human in dev mode @@ -12,15 +15,14 @@ const humanConfig = { async function detect(inputFile) { const human = new Human.Human(humanConfig); // create instance of human using default configuration + console.log('Human:', human.version, 'TF:', tf.version_core); // eslint-disable-line no-console await human.load(); // optional as models would be loaded on-demand first time they are required await human.warmup(); // optional as model warmup is performed on-demand first time its executed const buffer = fs.readFileSync(inputFile); // read file data into buffer const tensor = human.tf.node.decodeImage(buffer); // decode jpg data - // eslint-disable-next-line no-console - console.log('loaded input file:', inputFile, 'resolution:', tensor.shape); + console.log('loaded input file:', inputFile, 'resolution:', tensor.shape); // eslint-disable-line no-console const result = await human.detect(tensor); // run detection; will initialize backend and on-demand load models - // eslint-disable-next-line no-console - console.log(result); + console.log(result); // eslint-disable-line no-console } if (process.argv.length === 3) detect(process.argv[2]); // if input file is provided as cmdline parameter use it diff --git a/demo/nodejs/node-video.js b/demo/nodejs/node-video.js index be890880..e9fbf830 100644 --- a/demo/nodejs/node-video.js +++ b/demo/nodejs/node-video.js @@ -7,17 +7,15 @@ * If you want process at specific intervals, set output fps to some value * If you want to process an input stream, set real-time flag and set input as required * - * Note that pipe2jpeg is not part of Human dependencies and should be installed manually - * Working version of ffmpeg must be present on the system + * Note that [pipe2jpeg](https://www.npmjs.com/package/pipe2jpeg) is not part of Human dependencies and should be installed manually + * Working version of `ffmpeg` must be present on the system */ const spawn = require('child_process').spawn; const log = require('@vladmandic/pilogger'); // @ts-ignore pipe2jpeg is not installed by default -// eslint-disable-next-line node/no-missing-require -const Pipe2Jpeg = require('pipe2jpeg'); +const Pipe2Jpeg = require('pipe2jpeg'); // eslint-disable-line node/no-missing-require -// eslint-disable-next-line import/no-extraneous-dependencies, no-unused-vars, @typescript-eslint/no-unused-vars const tf = require('@tensorflow/tfjs-node'); // in nodejs environments tfjs-node is required to be loaded before human // const human = require('@vladmandic/human'); // use this when human is installed as module (majority of use cases) const Human = require('../../dist/human.node.js'); // use this when using human in dev mode @@ -77,7 +75,7 @@ async function main() { log.header(); await human.tf.ready(); // pre-load models - log.info('human:', human.version); + log.info('human:', human.version, 'tf:', tf.version_core); pipe2jpeg.on('jpeg', (jpegBuffer) => process(jpegBuffer)); const ffmpeg = spawn('ffmpeg', ffmpegParams, { stdio: ['ignore', 'pipe', 'ignore'] }); diff --git a/demo/nodejs/node-webcam.js b/demo/nodejs/node-webcam.js index 2e17f778..22bed4ba 100644 --- a/demo/nodejs/node-webcam.js +++ b/demo/nodejs/node-webcam.js @@ -2,17 +2,14 @@ * Human demo for NodeJS * Unsupported sample of using external utility fswebcam to capture screenshot from attached webcam in regular intervals and process it using Human * - * Note that node-webcam is not part of Human dependencies and should be installed manually - * Working version of fswebcam must be present on the system + * Note that [node-webcam](https://www.npmjs.com/package/node-webcam) is not part of Human dependencies and should be installed manually + * Working version of `fswebcam` must be present on the system */ let initial = true; // remember if this is the first run to print additional details const log = require('@vladmandic/pilogger'); -// @ts-ignore node-webcam is not installed by default -// eslint-disable-next-line node/no-missing-require -const nodeWebCam = require('node-webcam'); +const nodeWebCam = require('node-webcam'); // eslint-disable-line node/no-missing-require, node/no-extraneous-require -// eslint-disable-next-line import/no-extraneous-dependencies, no-unused-vars, @typescript-eslint/no-unused-vars const tf = require('@tensorflow/tfjs-node'); // in nodejs environments tfjs-node is required to be loaded before human // const human = require('@vladmandic/human'); // use this when human is installed as module (majority of use cases) const Human = require('../../dist/human.node.js'); // use this when using human in dev mode @@ -29,6 +26,7 @@ const camera = nodeWebCam.create(optionsCamera); const optionsHuman = { modelBasePath: 'file://models/', }; + const human = new Human.Human(optionsHuman); function buffer2tensor(buffer) { @@ -81,6 +79,7 @@ async function detect() { } async function main() { + log.info('human:', human.version, 'tf:', tf.version_core); camera.list((list) => { log.data('detected camera:', list); }); diff --git a/demo/nodejs/node.js b/demo/nodejs/node.js index 27f8909f..4a699152 100644 --- a/demo/nodejs/node.js +++ b/demo/nodejs/node.js @@ -1,6 +1,8 @@ /** * Human demo for NodeJS - */ + * + * Requires [node-fetch](https://www.npmjs.com/package/node-fetch) to provide `fetch` functionality in NodeJS environment +*/ const log = require('@vladmandic/pilogger'); const fs = require('fs'); @@ -9,7 +11,6 @@ const process = require('process'); let fetch; // fetch is dynamically imported later -// eslint-disable-next-line import/no-extraneous-dependencies, no-unused-vars, @typescript-eslint/no-unused-vars const tf = require('@tensorflow/tfjs-node'); // in nodejs environments tfjs-node is required to be loaded before human // const human = require('@vladmandic/human'); // use this when human is installed as module (majority of use cases) const Human = require('../../dist/human.node.js'); // use this when using human in dev mode @@ -46,6 +47,7 @@ async function init() { human = new Human.Human(myConfig); // wait until tf is ready await human.tf.ready(); + log.info('human:', human.version, 'tf:', tf.version_core); // pre-load models log.info('Human:', human.version); // log.info('Active Configuration', human.config); @@ -189,7 +191,7 @@ async function main() { log.configure({ inspect: { breakLength: 265 } }); log.header(); log.info('Current folder:', process.env.PWD); - fetch = (await import('node-fetch')).default; + fetch = (await import('node-fetch')).default; // eslint-disable-line node/no-extraneous-require, node/no-missing-import await init(); const f = process.argv[2]; if (process.argv.length !== 3) { diff --git a/demo/nodejs/process-folder.js b/demo/nodejs/process-folder.js index 61dd171b..05c26457 100644 --- a/demo/nodejs/process-folder.js +++ b/demo/nodejs/process-folder.js @@ -1,9 +1,18 @@ +/** + * Human demo for NodeJS + * + * Takes input and output folder names parameters and processes all images + * found in input folder and creates annotated images in output folder + * + * Requires [canvas](https://www.npmjs.com/package/canvas) to provide Canvas functionality in NodeJS environment + */ + const fs = require('fs'); const path = require('path'); const process = require('process'); const log = require('@vladmandic/pilogger'); -const canvas = require('canvas'); -// const tf = require('@tensorflow/tfjs-node-gpu'); // for nodejs, `tfjs-node` or `tfjs-node-gpu` should be loaded before using Human +const canvas = require('canvas'); // eslint-disable-line node/no-extraneous-require, node/no-missing-require +const tf = require('@tensorflow/tfjs-node-gpu'); // for nodejs, `tfjs-node` or `tfjs-node-gpu` should be loaded before using Human const Human = require('../../dist/human.node-gpu.js'); // this is 'const Human = require('../dist/human.node-gpu.js').default;' const config = { // just enable all and leave default settings @@ -24,7 +33,7 @@ async function main() { globalThis.ImageData = canvas.ImageData; // 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m=Math.cos(M),h=Math.sin(M),C=.213,N=.715,k=.072;P.colorMatrix([C+m*(1-C)+h*-C,N+m*-N+h*-N,k+m*-k+h*(1-k),0,0,C+m*-C+h*.143,N+m*(1-N)+h*.14,k+m*-k+h*-.283,0,0,C+m*-C+h*-(1-C),N+m*-N+h*N,k+m*(1-k)+h*k,0,0,0,0,0,1,0])},desaturateLuminance:()=>{P.colorMatrix([.2764723,.929708,.0938197,0,-37.1,.2764723,.929708,.0938197,0,-37.1,.2764723,.929708,.0938197,0,-37.1,0,0,0,1,0])},sepia:()=>{P.colorMatrix([.393,.7689999,.18899999,0,0,.349,.6859999,.16799999,0,0,.272,.5339999,.13099999,0,0,0,0,0,1,0])},brownie:()=>{P.colorMatrix([.5997023498159715,.34553243048391263,-.2708298674538042,0,47.43192855600873,-.037703249837783157,.8609577587992641,.15059552388459913,0,-36.96841498319127,.24113635128153335,-.07441037908422492,.44972182064877153,0,-7.562075277591283,0,0,0,1,0])},vintagePinhole:()=>{P.colorMatrix([.6279345635605994,.3202183420819367,-.03965408211312453,0,9.651285835294123,.02578397704808868,.6441188644374771,.03259127616149294,0,7.462829176470591,.0466055556782719,-.0851232987247891,.5241648018700465,0,5.159190588235296,0,0,0,1,0])},kodachrome:()=>{P.colorMatrix([1.1285582396593525,-.3967382283601348,-.03992559172921793,0,63.72958762196502,-.16404339962244616,1.0835251566291304,-.05498805115633132,0,24.732407896706203,-.16786010706155763,-.5603416277695248,1.6014850761964943,0,35.62982807460946,0,0,0,1,0])},technicolor:()=>{P.colorMatrix([1.9125277891456083,-.8545344976951645,-.09155508482755585,0,11.793603434377337,-.3087833385928097,1.7658908555458428,-.10601743074722245,0,-70.35205161461398,-.231103377548616,-.7501899197440212,1.847597816108189,0,30.950940869491138,0,0,0,1,0])},polaroid:()=>{P.colorMatrix([1.438,-.062,-.062,0,0,-.122,1.378,-.122,0,0,-.016,-.016,1.483,0,0,0,0,0,1,0])},shiftToBGR:()=>{P.colorMatrix([0,0,1,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,1,0])},convolution:M=>{let m=new Float32Array(M),h=1/y.width,C=1/y.height,N=v(q1);!N||(l.uniform1fv(N.uniform.m,m),l.uniform2f(N.uniform.px,h,C),p())},detectEdges:()=>{P.convolution.call(this,[0,1,0,1,-4,1,0,1,0])},sobelX:()=>{P.convolution.call(this,[-1,0,1,-2,0,2,-1,0,1])},sobelY:()=>{P.convolution.call(this,[-1,-2,-1,0,0,0,1,2,1])},sharpen:M=>{let m=M||1;P.convolution.call(this,[0,-1*m,0,-1*m,1+4*m,-1*m,0,-1*m,0])},emboss:M=>{let m=M||1;P.convolution.call(this,[-2*m,-1*m,0,-1*m,1,1*m,0,1*m,2*m])},blur:M=>{let m=M/7/y.width,h=M/7/y.height,C=v(X1);!C||(l.uniform2f(C.uniform.px,0,h),p(d.INTERMEDIATE),l.uniform2f(C.uniform.px,m,0),p())},pixelate:M=>{let m=M/y.width,h=M/y.height,C=v(Z1);!C||(l.uniform2f(C.uniform.size,m,h),p())}};this.add=function(M){let m=Array.prototype.slice.call(arguments,1),h=P[M];s.push({func:h,args:m})},this.reset=function(){s=[]},this.get=function(){return s},this.apply=function(M){f(M.width,M.height),e=0,t||(t=l.createTexture()),l.bindTexture(l.TEXTURE_2D,t),l.texParameteri(l.TEXTURE_2D,l.TEXTURE_WRAP_S,l.CLAMP_TO_EDGE),l.texParameteri(l.TEXTURE_2D,l.TEXTURE_WRAP_T,l.CLAMP_TO_EDGE),l.texParameteri(l.TEXTURE_2D,l.TEXTURE_MIN_FILTER,l.NEAREST),l.texParameteri(l.TEXTURE_2D,l.TEXTURE_MAG_FILTER,l.NEAREST),l.texImage2D(l.TEXTURE_2D,0,l.RGBA,l.RGBA,l.UNSIGNED_BYTE,M);for(let m=0;mx.data())),a=.99*Math.max(s[0][0],s[1][0],s[2][0]),i=[A.sub(o[0],n[0]),A.sub(o[1],n[1]),A.sub(o[2],n[2])],y=[A.sub(r[0],n[0]),A.sub(r[1],n[1]),A.sub(r[2],n[2])],c=[A.div(a,y[0]),A.div(a,y[1]),A.div(a,y[2])],d=[A.mul(i[0],c[0]),A.mul(i[1],c[1]),A.mul(i[2],c[2])],l=A.stack([d[0],d[1],d[2]],2),f=A.reshape(l,[1,t.shape[0],t.shape[1],3]);return A.dispose([...o,...n,...r,...i,...y,...c,...d,l,t]),f}var x2=3840,V=null,t0=null,ve=null,U,B0={inputSum:0,cacheDiff:1,sumMethod:0,inputTensor:void 0};function x0(e,t){let o;if(T.browser)if(T.worker){if(typeof OffscreenCanvas=="undefined")throw new Error("canvas error: attempted to run in web worker but OffscreenCanvas is not supported");o=new OffscreenCanvas(e,t)}else{if(typeof document=="undefined")throw new Error("canvas error: attempted to run in browser but DOM is not defined");o=document.createElement("canvas"),o.width=e,o.height=t}else typeof T.Canvas!="undefined"?o=new T.Canvas(e,t):typeof globalThis.Canvas!="undefined"&&(o=new globalThis.Canvas(e,t));return o}function d2(e,t){let o=t||x0(e.width,e.height);return o.getContext("2d").drawImage(e,0,0),o}async function Re(e,t,o=!0){if(!e)return t.debug&&u("input error: input is missing"),{tensor:null,canvas:null};if(!(e instanceof Pe)&&!(typeof Image!="undefined"&&e instanceof Image)&&!(typeof T.Canvas!="undefined"&&e instanceof T.Canvas)&&!(typeof globalThis.Canvas!="undefined"&&e instanceof globalThis.Canvas)&&!(typeof ImageData!="undefined"&&e instanceof ImageData)&&!(typeof ImageBitmap!="undefined"&&e instanceof 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ImageData!="undefined"&&e instanceof ImageData?i.putImageData(e,0,0):t.filter.flip&&typeof i.translate!="undefined"?(i.translate(n,0),i.scale(-1,1),i.drawImage(e,0,0,n,r,0,0,V==null?void 0:V.width,V==null?void 0:V.height),i.setTransform(1,0,0,1,0,0)):i.drawImage(e,0,0,n,r,0,0,V==null?void 0:V.width,V==null?void 0:V.height),(!t0||V.width!==t0.width||(V==null?void 0:V.height)!==(t0==null?void 0:t0.height))&&(t0=x0(V.width,V.height)),t.filter.enabled&&T.webgl.supported?(U||(U=T.browser?new U1:null),T.filter=!!U,!U||!U.add?(t.debug&&u("input process error: cannot initialize 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ImageData||e.data&&e.width&&e.height)if(T.browser&&A.browser)y=A.browser?A.browser.fromPixels(e):null;else{c=e.data.length/e.height/e.width;let f=new Uint8Array(e.data.buffer);y=A.tensor(f,[e.height,e.width,c],"int32")}else if((!ve||t0.width!==ve.width||t0.height!==ve.height)&&(ve=x0(t0.width,t0.height)),A.browser&&T.browser)t.backend==="webgl"||t.backend==="humangl"||t.backend==="webgpu"?y=A.browser.fromPixels(t0):(ve=d2(t0),y=A.browser.fromPixels(ve));else{let b=d2(t0).getContext("2d").getImageData(0,0,s,a);c=b.data.length/s/a;let p=new Uint8Array(b.data.buffer);y=A.tensor(p,[s,a,c])}if(c===4){let f=A.slice3d(y,[0,0,0],[-1,-1,3]);A.dispose(y),y=f}if(!y)throw new Error("input error: cannot create tensor");let d=A.cast(y,"float32"),l=t.filter.equalization?await c2(d):A.expandDims(d,0);return A.dispose([y,d]),{tensor:l,canvas:t.filter.return?t0:null}}}async function Y1(e,t){let o=!1;if(e.cacheSensitivity===0||!t.shape||t.shape.length!==4||t.shape[1]>2048||t.shape[2]>2048)return o;if(!B0.inputTensor)B0.inputTensor=A.clone(t);else if(B0.inputTensor.shape[1]!==t.shape[1]||B0.inputTensor.shape[2]!==t.shape[2])A.dispose(B0.inputTensor),B0.inputTensor=A.clone(t);else{let n={};n.diff=A.sub(t,B0.inputTensor),n.squared=A.mul(n.diff,n.diff),n.sum=A.sum(n.squared);let s=(await n.sum.data())[0]/(t.shape[1]||1)/(t.shape[2]||1)/255/3;A.dispose([B0.inputTensor,n.diff,n.squared,n.sum]),B0.inputTensor=A.clone(t),o=s<=(e.cacheSensitivity||0)}return o}async function K1(e,t,o){let n={};if(!t||!o||t.shape.length!==4||t.shape.length!==o.shape.length)return e.debug||u("invalid input tensor or tensor shapes do not match:",t.shape,o.shape),0;if(t.shape[0]!==1||o.shape[0]!==1||t.shape[3]!==3||o.shape[3]!==3)return e.debug||u("input tensors must be of shape [1, height, width, 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v5=["nose","leftEyeInside","leftEye","leftEyeOutside","rightEyeInside","rightEye","rightEyeOutside","leftEar","rightEar","leftMouth","rightMouth","leftShoulder","rightShoulder","leftElbow","rightElbow","leftWrist","rightWrist","leftPinky","rightPinky","leftIndex","rightIndex","leftThumb","rightThumb","leftHip","rightHip","leftKnee","rightKnee","leftAnkle","rightAnkle","leftHeel","rightHeel","leftFoot","rightFoot","bodyCenter","bodyTop","leftPalm","leftHand","rightPalm","rightHand"],R5={shoulders:["leftShoulder","rightShoulder"],hips:["rightHip","leftHip"],mouth:["leftMouth","rightMouth"],leftLegUpper:["leftHip","leftKnee"],leftLegLower:["leftKnee","leftAnkle"],leftFoot:["leftAnkle","leftHeel","leftFoot"],leftTorso:["leftShoulder","leftHip"],leftArmUpper:["leftShoulder","leftElbow"],leftArmLower:["leftElbow","leftWrist"],leftHand:["leftWrist","leftPalm"],leftHandPinky:["leftPalm","leftPinky"],leftHandIndex:["leftPalm","leftIndex"],leftHandThumb:["leftPalm","leftThumb"],leftEyeOutline:["leftEyeInside","leftEyeOutside"],rightLegUpper:["rightHip","rightKnee"],rightLegLower:["rightKnee","rightAnkle"],rightFoot:["rightAnkle","rightHeel","rightFoot"],rightTorso:["rightShoulder","rightHip"],rightArmUpper:["rightShoulder","rightElbow"],rightArmLower:["rightElbow","rightWrist"],rightHand:["rightWrist","rightPalm"],rightHandPinky:["rightPalm","rightPinky"],rightHandIndex:["rightPalm","rightIndex"],rightHandThumb:["rightPalm","rightThumb"],rightEyeOutline:["rightEyeInside","rightEyeOutside"]};var kt=224,br,gr=5,v2=[8,16,32,32,32];async function Et(){let e=[],t=0;for(;to.x)),y:A.tensor1d(e.map(o=>o.y))}}function H0(e,t=[1,1]){let o=[e.map(i=>i[0]),e.map(i=>i[1])],n=[Math.min(...o[0]),Math.min(...o[1])],r=[Math.max(...o[0]),Math.max(...o[1])],s=[n[0],n[1],r[0]-n[0],r[1]-n[1]],a=[s[0]/t[0],s[1]/t[1],s[2]/t[0],s[3]/t[1]];return{box:s,boxRaw:a}}function zt(e,t=[1,1]){let o=[e.map(c=>c[0]),e.map(c=>c[1])],n=[Math.min(...o[0]),Math.min(...o[1])],r=[Math.max(...o[0]),Math.max(...o[1])],s=[(n[0]+r[0])/2,(n[1]+r[1])/2],a=Math.max(s[0]-n[0],s[1]-n[1],-s[0]+r[0],-s[1]+r[1]),i=[Math.trunc(s[0]-a),Math.trunc(s[1]-a),Math.trunc(2*a),Math.trunc(2*a)],y=[i[0]/t[0],i[1]/t[1],i[2]/t[0],i[3]/t[1]];return{box:i,boxRaw:y}}function R2(e,t){let o=[e[2]*t,e[3]*t];return[e[0]-(o[0]-e[2])/2,e[1]-(o[1]-e[3])/2,o[0],o[1]]}var jt={initial:!0},u0={detector:null,landmarks:null},ke={detector:[224,224],landmarks:[256,256]},T5=Number.MAX_SAFE_INTEGER,Pr={landmarks:["ld_3d","activation_segmentation","activation_heatmap","world_3d","output_poseflag"],detector:[]},w2=null,t2,_0=[[0,0],[0,0],[0,0],[0,0]],St=0,Ct=e=>1-1/(1+Math.exp(e));async function It(e){if(jt.initial&&(u0.detector=null),!u0.detector&&e.body.detector&&e.body.detector.modelPath){u0.detector=await O(e.body.detector.modelPath);let t=Object.values(u0.detector.modelSignature.inputs);ke.detector[0]=Array.isArray(t)?parseInt(t[0].tensorShape.dim[1].size):0,ke.detector[1]=Array.isArray(t)?parseInt(t[0].tensorShape.dim[2].size):0}else e.debug&&u0.detector&&u("cached model:",u0.detector.modelUrl);return await Et(),u0.detector}async function Nt(e){if(jt.initial&&(u0.landmarks=null),u0.landmarks)e.debug&&u("cached model:",u0.landmarks.modelUrl);else{u0.landmarks=await O(e.body.modelPath);let t=Object.values(u0.landmarks.modelSignature.inputs);ke.landmarks[0]=Array.isArray(t)?parseInt(t[0].tensorShape.dim[1].size):0,ke.landmarks[1]=Array.isArray(t)?parseInt(t[0].tensorShape.dim[2].size):0}return u0.landmarks}async function vr(e,t){let o={};if(!e.shape||!e.shape[1]||!e.shape[2])return e;let n;if(t2&&(o.cropped=A.image.cropAndResize(e,[t2],[0],[e.shape[1],e.shape[2]])),e.shape[1]!==e.shape[2]){let r=[e.shape[2]>e.shape[1]?Math.trunc((e.shape[2]-e.shape[1])/2):0,e.shape[2]>e.shape[1]?Math.trunc((e.shape[2]-e.shape[1])/2):0],s=[e.shape[1]>e.shape[2]?Math.trunc((e.shape[1]-e.shape[2])/2):0,e.shape[1]>e.shape[2]?Math.trunc((e.shape[1]-e.shape[2])/2):0];_0=[[0,0],r,s,[0,0]],o.pad=A.pad(o.cropped||e,_0),o.resize=A.image.resizeBilinear(o.pad,[t,t]),n=A.div(o.resize,W.tf255)}else e.shape[1]!==t?(o.resize=A.image.resizeBilinear(o.cropped||e,[t,t]),n=A.div(o.resize,W.tf255)):n=A.div(o.cropped||e,W.tf255);return Object.keys(o).forEach(r=>A.dispose(o[r])),n}function Rr(e,t){for(let o of e)o.position=[Math.trunc(o.position[0]*(t[0]+_0[2][0]+_0[2][1])/t[0]-_0[2][0]),Math.trunc(o.position[1]*(t[1]+_0[1][0]+_0[1][1])/t[1]-_0[1][0]),o.position[2]],o.positionRaw=[o.position[0]/t[0],o.position[1]/t[1],2*o.position[2]/(t[0]+t[1])];if(t2)for(let o of e)o.positionRaw=[o.positionRaw[0]+t2[1],o.positionRaw[1]+t2[0],o.positionRaw[2]],o.position=[Math.trunc(o.positionRaw[0]*t[0]),Math.trunc(o.positionRaw[1]*t[1]),o.positionRaw[2]];return e}async function Tr(e){let t=e.find(i=>i.part==="leftPalm"),o=e.find(i=>i.part==="leftWrist"),n=e.find(i=>i.part==="leftIndex");t.position[2]=((o.position[2]||0)+(n.position[2]||0))/2;let r=e.find(i=>i.part==="rightPalm"),s=e.find(i=>i.part==="rightWrist"),a=e.find(i=>i.part==="rightIndex");r.position[2]=((s.position[2]||0)+(a.position[2]||0))/2}async function wr(e,t,o){var b;let n={};[n.ld,n.segmentation,n.heatmap,n.world,n.poseflag]=(b=u0.landmarks)==null?void 0:b.execute(e,Pr.landmarks);let r=(await n.poseflag.data())[0],s=await n.ld.data(),a=await n.world.data();Object.keys(n).forEach(p=>A.dispose(n[p]));let i=[],y=5;for(let p=0;pp.position),l=H0(d,[o[0],o[1]]),f={};for(let[p,v]of Object.entries(R5)){let P=[];for(let M=0;MC.part===v[M]),h=c.find(C=>C.part===v[M+1]);m&&h&&P.push([m.position,h.position])}f[p]=P}return{id:0,score:Math.trunc(100*r)/100,box:l.box,boxRaw:l.boxRaw,keypoints:c,annotations:f}}async function w5(e,t){let o=[e.shape[2]||0,e.shape[1]||0],n=(t.body.skipTime||0)>g()-St,r=T5<(t.body.skipFrames||0);if(t.skipAllowed&&n&&r&&w2!==null)T5++;else{let s={};s.landmarks=await vr(e,256),w2=await wr(s.landmarks,t,o),Object.keys(s).forEach(a=>A.dispose(s[a])),St=g(),T5=0}return w2?[w2]:[]}var Ee=[{class:1,label:"person"},{class:2,label:"bicycle"},{class:3,label:"car"},{class:4,label:"motorcycle"},{class:5,label:"airplane"},{class:6,label:"bus"},{class:7,label:"train"},{class:8,label:"truck"},{class:9,label:"boat"},{class:10,label:"traffic light"},{class:11,label:"fire hydrant"},{class:12,label:"stop 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drier"},{class:80,label:"toothbrush"}];var V0,xe=0,k5=[],Lt=0,E5=Number.MAX_SAFE_INTEGER;async function Wt(e){if(T.initial&&(V0=null),V0)e.debug&&u("cached model:",V0.modelUrl);else{V0=await O(e.object.modelPath);let t=Object.values(V0.modelSignature.inputs);xe=Array.isArray(t)?parseInt(t[0].tensorShape.dim[2].size):0}return V0}async function kr(e,t,o){if(!e)return[];let n={},r=[],s=await e.array();n.squeeze=A.squeeze(e);let a=A.split(n.squeeze,6,1);n.stack=A.stack([a[1],a[0],a[3],a[2]],1),n.boxes=A.squeeze(n.stack),n.scores=A.squeeze(a[4]),n.classes=A.squeeze(a[5]),A.dispose([e,...a]),n.nms=await A.image.nonMaxSuppressionAsync(n.boxes,n.scores,o.object.maxDetected,o.object.iouThreshold,o.object.minConfidence||0);let i=await n.nms.data(),y=0;for(let c of Array.from(i)){let d=Math.trunc(100*s[0][c][4])/100,l=s[0][c][5],f=Ee[l].label,[x,b]=[s[0][c][0]/xe,s[0][c][1]/xe],p=[x,b,s[0][c][2]/xe-x,s[0][c][3]/xe-b],v=[Math.trunc(p[0]*t[0]),Math.trunc(p[1]*t[1]),Math.trunc(p[2]*t[0]),Math.trunc(p[3]*t[1])];r.push({id:y++,score:d,class:l,label:f,box:v,boxRaw:p})}return Object.keys(n).forEach(c=>A.dispose(n[c])),r}async function z5(e,t){let o=(t.object.skipTime||0)>g()-Lt,n=E5<(t.object.skipFrames||0);return t.skipAllowed&&o&&n&&k5.length>0?(E5++,k5):(E5=0,new Promise(async r=>{let s=[e.shape[2]||0,e.shape[1]||0],a=A.image.resizeBilinear(e,[xe,xe]),i=t.object.enabled?V0==null?void 0:V0.execute(a,["tower_0/detections"]):null;Lt=g(),A.dispose(a);let y=await kr(i,s,t);k5=y,r(y)}))}var k2={};K0(k2,{connected:()=>C5,kpt:()=>S5});var S5=["head","neck","rightShoulder","rightElbow","rightWrist","chest","leftShoulder","leftElbow","leftWrist","bodyCenter","rightHip","rightKnee","rightAnkle","leftHip","leftKnee","leftAnkle"],C5={leftLeg:["leftHip","leftKnee","leftAnkle"],rightLeg:["rightHip","rightKnee","rightAnkle"],torso:["leftShoulder","rightShoulder","rightHip","leftHip","leftShoulder"],leftArm:["leftShoulder","leftElbow","leftWrist"],rightArm:["rightShoulder","rightElbow","rightWrist"],head:[]};var a0,Gt=0,d0={id:0,keypoints:[],box:[0,0,0,0],boxRaw:[0,0,0,0],score:0,annotations:{}},j5=Number.MAX_SAFE_INTEGER;async function Bt(e){return T.initial&&(a0=null),a0?e.debug&&u("cached model:",a0.modelUrl):a0=await O(e.body.modelPath),a0}async function Er(e,t){let[o,n]=e.shape,r=A.reshape(e,[n*o]),s=A.max(r,0),a=(await s.data())[0];if(a>t){let i=A.argMax(r,0),y=A.mod(i,o),c=(await y.data())[0],d=A.div(i,o),l=(await d.data())[0];return A.dispose([r,s,i,y,d]),[c,l,a]}else return A.dispose([r,s]),[0,0,a]}async function I5(e,t){let o=(t.body.skipTime||0)>g()-Gt,n=j5<(t.body.skipFrames||0);return t.skipAllowed&&o&&n&&Object.keys(d0.keypoints).length>0?(j5++,[d0]):(j5=0,new Promise(async r=>{var l;let s=A.tidy(()=>{if(!(a0!=null&&a0.inputs[0].shape))return null;let f=A.image.resizeBilinear(e,[a0.inputs[0].shape[2],a0.inputs[0].shape[1]],!1),x=A.mul(f,W.tf2);return A.sub(x,W.tf1)}),a;if(t.body.enabled&&(a=a0==null?void 0:a0.execute(s)),Gt=g(),A.dispose(s),a){d0.keypoints.length=0;let f=A.squeeze(a);A.dispose(a);let x=A.unstack(f,2);A.dispose(f);for(let b=0;b(((l=t.body)==null?void 0:l.minConfidence)||0)&&d0.keypoints.push({score:Math.round(100*P)/100,part:S5[b],positionRaw:[p/a0.inputs[0].shape[2],v/a0.inputs[0].shape[1]],position:[Math.round(e.shape[2]*p/a0.inputs[0].shape[2]),Math.round(e.shape[1]*v/a0.inputs[0].shape[1])]})}x.forEach(b=>A.dispose(b))}d0.score=d0.keypoints.reduce((f,x)=>x.score>f?x.score:f,0);let i=d0.keypoints.map(f=>f.position[0]),y=d0.keypoints.map(f=>f.position[1]);d0.box=[Math.min(...i),Math.min(...y),Math.max(...i)-Math.min(...i),Math.max(...y)-Math.min(...y)];let c=d0.keypoints.map(f=>f.positionRaw[0]),d=d0.keypoints.map(f=>f.positionRaw[1]);d0.boxRaw=[Math.min(...c),Math.min(...d),Math.max(...c)-Math.min(...c),Math.max(...d)-Math.min(...d)];for(let[f,x]of Object.entries(C5)){let b=[];for(let p=0;pM.part===x[p]),P=d0.keypoints.find(M=>M.part===x[p+1]);v&&P&&v.score>(t.body.minConfidence||0)&&P.score>(t.body.minConfidence||0)&&b.push([v.position,P.position])}d0.annotations[f]=b}r([d0])}))}var zr=["angry","disgust","fear","happy","sad","surprise","neutral"],R0,E2=[],Vt=0,Dt=0,N5=Number.MAX_SAFE_INTEGER;async function Zt(e){var t;return T.initial&&(R0=null),R0?e.debug&&u("cached model:",R0.modelUrl):R0=await O((t=e.face.emotion)==null?void 0:t.modelPath),R0}async function O5(e,t,o,n){var a,i;if(!R0)return[];let r=N5<(((a=t.face.emotion)==null?void 0:a.skipFrames)||0),s=(((i=t.face.emotion)==null?void 0:i.skipTime)||0)>g()-Dt;return t.skipAllowed&&s&&r&&Vt===n&&E2[o]&&E2[o].length>0?(N5++,E2[o]):(N5=0,new Promise(async y=>{var d,l;let c=[];if((d=t.face.emotion)!=null&&d.enabled){let f={},x=R0!=null&&R0.inputs[0].shape?R0.inputs[0].shape[2]:0;f.resize=A.image.resizeBilinear(e,[x,x],!1),f.channels=A.mul(f.resize,W.rgb),f.grayscale=A.sum(f.channels,3,!0),f.grayscaleSub=A.sub(f.grayscale,W.tf05),f.grayscaleMul=A.mul(f.grayscaleSub,W.tf2),f.emotion=R0==null?void 0:R0.execute(f.grayscaleMul),Dt=g();let b=await f.emotion.data();for(let p=0;p(((l=t.face.emotion)==null?void 0:l.minConfidence)||0)&&c.push({score:Math.min(.99,Math.trunc(100*b[p])/100),emotion:zr[p]});c.sort((p,v)=>v.score-p.score),Object.keys(f).forEach(p=>A.dispose(f[p]))}E2[o]=c,Vt=n,y(c)}))}var h0,L5=[],qt=0,Ut=0,Yt=Number.MAX_SAFE_INTEGER;async function Kt(e){return T.initial&&(h0=null),h0?e.debug&&u("cached model:",h0.modelUrl):h0=await O(e.face.mobilefacenet.modelPath),h0}async function W5(e,t,o,n){var a,i;if(!h0)return[];let r=Yt<(((a=t.face.mobilefacenet)==null?void 0:a.skipFrames)||0),s=(((i=t.face.mobilefacenet)==null?void 0:i.skipTime)||0)>g()-Ut;return t.skipAllowed&&s&&r&&qt===n&&L5[o]?(Yt++,L5[o]):new Promise(async y=>{var d;let c=[];if(((d=t.face.mobilefacenet)==null?void 0:d.enabled)&&(h0==null?void 0:h0.inputs[0].shape)){let l={};l.crop=A.image.resizeBilinear(e,[h0.inputs[0].shape[2],h0.inputs[0].shape[1]],!1),l.data=h0==null?void 0:h0.execute(l.crop);let f=await l.data.data();c=Array.from(f),Object.keys(l).forEach(x=>A.dispose(l[x]))}L5[o]=c,qt=n,Ut=g(),y(c)})}var b0,F5=[],Qt=0,_t=0,$t=Number.MAX_SAFE_INTEGER;async function e3(e){return T.initial&&(b0=null),b0?e.debug&&u("cached model:",b0.modelUrl):b0=await O(e.face.insightface.modelPath),b0}async function G5(e,t,o,n){var a,i;if(!b0)return[];let r=$t<(((a=t.face.insightface)==null?void 0:a.skipFrames)||0),s=(((i=t.face.insightface)==null?void 0:i.skipTime)||0)>g()-_t;return t.skipAllowed&&s&&r&&Qt===n&&F5[o]?($t++,F5[o]):new Promise(async y=>{var d;let c=[];if(((d=t.face.insightface)==null?void 0:d.enabled)&&(b0==null?void 0:b0.inputs[0].shape)){let l={};l.crop=A.image.resizeBilinear(e,[b0.inputs[0].shape[2],b0.inputs[0].shape[1]],!1),l.data=b0==null?void 0:b0.execute(l.crop);let f=await l.data.data();c=Array.from(f),Object.keys(l).forEach(x=>A.dispose(l[x]))}F5[o]=c,Qt=n,_t=g(),y(c)})}var D0,$0=0,Sr=2.3,B5=z0.leftEyeLower0,H5=z0.rightEyeLower0,ze={leftBounds:[B5[0],B5[B5.length-1]],rightBounds:[H5[0],H5[H5.length-1]]},Se={upperCenter:3,lowerCenter:4,index:71,numCoordinates:76};async function A3(e){var t;return T.initial&&(D0=null),D0?e.debug&&u("cached model:",D0.modelUrl):D0=await O((t=e.face.iris)==null?void 0:t.modelPath),$0=D0.inputs[0].shape?D0.inputs[0].shape[2]:0,$0===-1&&($0=64),D0}function z2(e,t,o,n){for(let r=0;r{let t=e[ze.leftBounds[0]][2],o=e[ze.rightBounds[0]][2];return t-o},o3=(e,t,o,n,r,s=!1)=>{let a=M2(g2(pt([e[o],e[n]]),Sr)),i=Te(a),y=A.image.cropAndResize(t,[[a.startPoint[1]/r,a.startPoint[0]/r,a.endPoint[1]/r,a.endPoint[0]/r]],[0],[$0,$0]);if(s&&T.kernels.includes("flipleftright")){let c=A.image.flipLeftRight(y);A.dispose(y),y=c}return{box:a,boxSize:i,crop:y}},n3=(e,t,o,n=!1)=>{let r=[];for(let s=0;s{let n=e[z0[`${o}EyeUpper0`][Se.upperCenter]][2],r=e[z0[`${o}EyeLower0`][Se.lowerCenter]][2],s=(n+r)/2;return t.map((a,i)=>{let y=s;return i===2?y=n:i===4&&(y=r),[a[0],a[1],y]})};async function s3(e,t,o,n){if(!D0)return o.debug&&u("face mesh iris detection requested, but model is not loaded"),e;let{box:r,boxSize:s,crop:a}=o3(e,t,ze.leftBounds[0],ze.leftBounds[1],n,!0),{box:i,boxSize:y,crop:c}=o3(e,t,ze.rightBounds[0],ze.rightBounds[1],n,!0),d=A.concat([a,c]);A.dispose(a),A.dispose(c);let l=D0.execute(d);A.dispose(d);let f=await l.data();A.dispose(l);let x=f.slice(0,Se.numCoordinates*3),{rawCoords:b,iris:p}=n3(x,r,s,!0),v=f.slice(Se.numCoordinates*3),{rawCoords:P,iris:M}=n3(v,i,y,!1),m=Cr(e);Math.abs(m)<30?(z2(e,b,"left",null),z2(e,P,"right",null)):m<1?z2(e,b,"left",["EyeUpper0","EyeLower0"]):z2(e,P,"right",["EyeUpper0","EyeLower0"]);let h=r3(e,p,"left"),C=r3(e,M,"right");return e.concat(h).concat(C)}var jr=[[61,146],[146,91],[91,181],[181,84],[84,17],[17,314],[314,405],[405,321],[321,375],[375,291],[61,185],[185,40],[40,39],[39,37],[37,0],[0,267],[267,269],[269,270],[270,409],[409,291],[78,95],[95,88],[88,178],[178,87],[87,14],[14,317],[317,402],[402,318],[318,324],[324,308],[78,191],[191,80],[80,81],[81,82],[82,13],[13,312],[312,311],[311,310],[310,415],[415,308]],Ir=[[263,249],[249,390],[390,373],[373,374],[374,380],[380,381],[381,382],[382,362],[263,466],[466,388],[388,387],[387,386],[386,385],[385,384],[384,398],[398,362]],Nr=[[276,283],[283,282],[282,295],[295,285],[300,293],[293,334],[334,296],[296,336]],Or=[[474,475],[475,476],[476,477],[477,474]],Lr=[[33,7],[7,163],[163,144],[144,145],[145,153],[153,154],[154,155],[155,133],[33,246],[246,161],[161,160],[160,159],[159,158],[158,157],[157,173],[173,133]],Wr=[[46,53],[53,52],[52,65],[65,55],[70,63],[63,105],[105,66],[66,107]],Fr=[[469,470],[470,471],[471,472],[472,469]],Gr=[[10,338],[338,297],[297,332],[332,284],[284,251],[251,389],[389,356],[356,454],[454,323],[323,361],[361,288],[288,397],[397,365],[365,379],[379,378],[378,400],[400,377],[377,152],[152,148],[148,176],[176,149],[149,150],[150,136],[136,172],[172,58],[58,132],[132,93],[93,234],[234,127],[127,162],[162,21],[21,54],[54,103],[103,67],[67,109],[109,10]];function ee(e){let t=e.map(o=>o[0]);return t.push(e[e.length-1][1]),t}var Br={lips:ee(jr),leftEye:ee(Ir),leftEyebrow:ee(Nr),leftIris:ee(Or),rightEye:ee(Lr),rightEyebrow:ee(Wr),rightIris:ee(Fr),faceOval:ee(Gr)},Hr=Object.entries(Br).map(([e,t])=>t.map(o=>[o,e])).flat(),n4=new Map(Hr),o2=[61,146,91,181,84,17,314,405,321,375,291,185,40,39,37,0,267,269,270,409,78,95,88,178,87,14,317,402,318,324,308,191,80,81,82,13,312,311,310,415,76,77,90,180,85,16,315,404,320,307,306,184,74,73,72,11,302,303,304,408,62,96,89,179,86,15,316,403,319,325,292,183,42,41,38,12,268,271,272,407],de=[33,7,163,144,145,153,154,155,133,246,161,160,159,158,157,173,130,25,110,24,23,22,26,112,243,247,30,29,27,28,56,190,226,31,228,229,230,231,232,233,244,113,225,224,223,222,221,189,35,124,46,53,52,65,143,111,117,118,119,120,121,128,245,156,70,63,105,66,107,55,193],fe=[263,249,390,373,374,380,381,382,362,466,388,387,386,385,384,398,359,255,339,254,253,252,256,341,463,467,260,259,257,258,286,414,446,261,448,449,450,451,452,453,464,342,445,444,443,442,441,413,265,353,276,283,282,295,372,340,346,347,348,349,350,357,465,383,300,293,334,296,336,285,417];async function l3(e,t){let o={lips:await t.filter(s=>s.size===160)[0].data(),irisL:await t.filter(s=>s.size===10)[0].data(),eyeL:await t.filter(s=>s.size===142)[0].data(),irisR:await t.filter(s=>s.size===10)[1].data(),eyeR:await t.filter(s=>s.size===142)[1].data()},n=de.reduce((s,a)=>s+=e[a][2],0)/de.length;for(let s=0;ss+=e[a][2],0)/fe.length;for(let s=0;sg()-W0.timestamp,n=W0.skipped<(((y=t.face.detector)==null?void 0:y.skipFrames)||0);!t.skipAllowed||!o||!n||W0.boxes.length===0?(W0.boxes=await Tt(e,t),W0.timestamp=g(),W0.skipped=0):W0.skipped++;let r=[],s=[],a=0;for(let m=0;mL.shape[L.shape.length-1]===1).data();if(k.faceScore=Math.round(100*B[0])/100,k.faceScore<(((b=t.face.detector)==null?void 0:b.minConfidence)||1)){if(h.confidence=k.faceScore,(p=t.face.mesh)!=null&&p.keepInvalid){k.box=h2(h,e),k.boxRaw=b2(h,e),k.score=k.boxScore,k.mesh=h.landmarks.map(L=>[(h.startPoint[0]+h.endPoint[0])/2+(h.endPoint[0]+h.startPoint[0])*L[0]/we(),(h.startPoint[1]+h.endPoint[1])/2+(h.endPoint[1]+h.startPoint[1])*L[1]/we()]),k.meshRaw=k.mesh.map(L=>[L[0]/(e.shape[2]||1),L[1]/(e.shape[1]||1),(L[2]||0)/me]);for(let L of Object.keys(le))k.annotations[L]=[k.mesh[le[L]]]}}else{let L=z.find(e0=>e0.shape[e0.shape.length-1]===1404),K=A.reshape(L,[-1,3]),Z=await K.array();A.dispose(K),(v=t.face.attention)!=null&&v.enabled?Z=await l3(Z,z):(P=t.face.iris)!=null&&P.enabled&&(Z=await s3(Z,k.tensor,t,me)),k.mesh=bt(Z,h,C,N,me),k.meshRaw=k.mesh.map(e0=>[e0[0]/(e.shape[2]||0),e0[1]/(e.shape[1]||0),(e0[2]||0)/me]);for(let e0 of Object.keys(z0))k.annotations[e0]=z0[e0].map(v0=>k.mesh[v0]);k.score=k.faceScore;let S={...Mt(k.mesh,h),confidence:h.confidence,landmarks:h.landmarks};k.box=h2(S,e),k.boxRaw=b2(S,e),s.push(S)}A.dispose(z)}else{k.box=h2(h,e),k.boxRaw=b2(h,e),k.score=k.boxScore,k.mesh=h.landmarks.map(z=>[(h.startPoint[0]+h.endPoint[0])/2+(h.endPoint[0]+h.startPoint[0])*z[0]/we(),(h.startPoint[1]+h.endPoint[1])/2+(h.endPoint[1]+h.startPoint[1])*z[1]/we()]),k.meshRaw=k.mesh.map(z=>[z[0]/(e.shape[2]||0),z[1]/(e.shape[1]||0),(z[2]||0)/me]);for(let z of Object.keys(le))k.annotations[z]=[k.mesh[le[z]]]}k.score>(((M=t.face.detector)==null?void 0:M.minConfidence)||1)?r.push(k):A.dispose(k.tensor)}return W0.boxes=s,r}async function c3(e){var t,o,n,r,s,a;return T.initial&&(i0=null),((o=(t=e==null?void 0:e.face)==null?void 0:t.attention)==null?void 0:o.enabled)&&(i0==null?void 0:i0.signature)&&Object.keys(((n=i0==null?void 0:i0.signature)==null?void 0:n.outputs)||{}).length<6&&(i0=null),i0?e.debug&&u("cached model:",i0.modelUrl):(r=e.face.attention)!=null&&r.enabled?i0=await O((s=e.face.attention)==null?void 0:s.modelPath):i0=await O((a=e.face.mesh)==null?void 0:a.modelPath),me=i0.inputs[0].shape?i0.inputs[0].shape[2]:0,i0}var x3=ye,d3=$e;var g0,S2=[],f3=0,m3=0,D5=Number.MAX_SAFE_INTEGER;async function p3(e){var t;return T.initial&&(g0=null),g0?e.debug&&u("cached model:",g0.modelUrl):g0=await O((t=e.face.description)==null?void 0:t.modelPath),g0}function Z5(e){let t=e.image||e.tensor||e;if(!(g0!=null&&g0.inputs[0].shape))return t;let o=A.image.resizeBilinear(t,[g0.inputs[0].shape[2],g0.inputs[0].shape[1]],!1),n=A.mul(o,W.tf255);return A.dispose(o),n}async function X5(e,t,o,n){var a,i,y,c;if(!g0)return{age:0,gender:"unknown",genderScore:0,descriptor:[]};let r=D5<(((a=t.face.description)==null?void 0:a.skipFrames)||0),s=(((i=t.face.description)==null?void 0:i.skipTime)||0)>g()-f3;return t.skipAllowed&&r&&s&&m3===n&&((y=S2[o])==null?void 0:y.age)&&((c=S2[o])==null?void 0:c.age)>0?(D5++,S2[o]):(D5=0,new Promise(async d=>{var f,x;let l={age:0,gender:"unknown",genderScore:0,descriptor:[]};if((f=t.face.description)!=null&&f.enabled){let b=Z5(e),p=g0==null?void 0:g0.execute(b);f3=g(),A.dispose(b);let P=await(await p.find(F=>F.shape[1]===1)).data(),M=Math.trunc(200*Math.abs(P[0]-.5))/100;M>(((x=t.face.description)==null?void 0:x.minConfidence)||0)&&(l.gender=P[0]<=.5?"female":"male",l.genderScore=Math.min(.99,M));let m=A.argMax(p.find(F=>F.shape[1]===100),1),h=(await m.data())[0];A.dispose(m);let N=await 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v5=["nose","leftEyeInside","leftEye","leftEyeOutside","rightEyeInside","rightEye","rightEyeOutside","leftEar","rightEar","leftMouth","rightMouth","leftShoulder","rightShoulder","leftElbow","rightElbow","leftWrist","rightWrist","leftPinky","rightPinky","leftIndex","rightIndex","leftThumb","rightThumb","leftHip","rightHip","leftKnee","rightKnee","leftAnkle","rightAnkle","leftHeel","rightHeel","leftFoot","rightFoot","bodyCenter","bodyTop","leftPalm","leftHand","rightPalm","rightHand"],R5={shoulders:["leftShoulder","rightShoulder"],hips:["rightHip","leftHip"],mouth:["leftMouth","rightMouth"],leftLegUpper:["leftHip","leftKnee"],leftLegLower:["leftKnee","leftAnkle"],leftFoot:["leftAnkle","leftHeel","leftFoot"],leftTorso:["leftShoulder","leftHip"],leftArmUpper:["leftShoulder","leftElbow"],leftArmLower:["leftElbow","leftWrist"],leftHand:["leftWrist","leftPalm"],leftHandPinky:["leftPalm","leftPinky"],leftHandIndex:["leftPalm","leftIndex"],leftHandThumb:["leftPalm","leftThumb"],leftEyeOutline:["leftEyeInside","leftEyeOutside"],rightLegUpper:["rightHip","rightKnee"],rightLegLower:["rightKnee","rightAnkle"],rightFoot:["rightAnkle","rightHeel","rightFoot"],rightTorso:["rightShoulder","rightHip"],rightArmUpper:["rightShoulder","rightElbow"],rightArmLower:["rightElbow","rightWrist"],rightHand:["rightWrist","rightPalm"],rightHandPinky:["rightPalm","rightPinky"],rightHandIndex:["rightPalm","rightIndex"],rightHandThumb:["rightPalm","rightThumb"],rightEyeOutline:["rightEyeInside","rightEyeOutside"]};var kt=224,br,gr=5,v2=[8,16,32,32,32];async function Et(){let e=[],t=0;for(;to.x)),y:A.tensor1d(e.map(o=>o.y))}}function H0(e,t=[1,1]){let o=[e.map(i=>i[0]),e.map(i=>i[1])],n=[Math.min(...o[0]),Math.min(...o[1])],r=[Math.max(...o[0]),Math.max(...o[1])],s=[n[0],n[1],r[0]-n[0],r[1]-n[1]],a=[s[0]/t[0],s[1]/t[1],s[2]/t[0],s[3]/t[1]];return{box:s,boxRaw:a}}function zt(e,t=[1,1]){let o=[e.map(c=>c[0]),e.map(c=>c[1])],n=[Math.min(...o[0]),Math.min(...o[1])],r=[Math.max(...o[0]),Math.max(...o[1])],s=[(n[0]+r[0])/2,(n[1]+r[1])/2],a=Math.max(s[0]-n[0],s[1]-n[1],-s[0]+r[0],-s[1]+r[1]),i=[Math.trunc(s[0]-a),Math.trunc(s[1]-a),Math.trunc(2*a),Math.trunc(2*a)],y=[i[0]/t[0],i[1]/t[1],i[2]/t[0],i[3]/t[1]];return{box:i,boxRaw:y}}function R2(e,t){let o=[e[2]*t,e[3]*t];return[e[0]-(o[0]-e[2])/2,e[1]-(o[1]-e[3])/2,o[0],o[1]]}var jt={initial:!0},u0={detector:null,landmarks:null},ke={detector:[224,224],landmarks:[256,256]},T5=Number.MAX_SAFE_INTEGER,Pr={landmarks:["ld_3d","activation_segmentation","activation_heatmap","world_3d","output_poseflag"],detector:[]},w2=null,t2,_0=[[0,0],[0,0],[0,0],[0,0]],St=0,Ct=e=>1-1/(1+Math.exp(e));async function It(e){if(jt.initial&&(u0.detector=null),!u0.detector&&e.body.detector&&e.body.detector.modelPath){u0.detector=await O(e.body.detector.modelPath);let t=Object.values(u0.detector.modelSignature.inputs);ke.detector[0]=Array.isArray(t)?parseInt(t[0].tensorShape.dim[1].size):0,ke.detector[1]=Array.isArray(t)?parseInt(t[0].tensorShape.dim[2].size):0}else e.debug&&u0.detector&&u("cached model:",u0.detector.modelUrl);return await Et(),u0.detector}async function Nt(e){if(jt.initial&&(u0.landmarks=null),u0.landmarks)e.debug&&u("cached model:",u0.landmarks.modelUrl);else{u0.landmarks=await O(e.body.modelPath);let t=Object.values(u0.landmarks.modelSignature.inputs);ke.landmarks[0]=Array.isArray(t)?parseInt(t[0].tensorShape.dim[1].size):0,ke.landmarks[1]=Array.isArray(t)?parseInt(t[0].tensorShape.dim[2].size):0}return u0.landmarks}async function vr(e,t){let o={};if(!e.shape||!e.shape[1]||!e.shape[2])return e;let n;if(t2&&(o.cropped=A.image.cropAndResize(e,[t2],[0],[e.shape[1],e.shape[2]])),e.shape[1]!==e.shape[2]){let r=[e.shape[2]>e.shape[1]?Math.trunc((e.shape[2]-e.shape[1])/2):0,e.shape[2]>e.shape[1]?Math.trunc((e.shape[2]-e.shape[1])/2):0],s=[e.shape[1]>e.shape[2]?Math.trunc((e.shape[1]-e.shape[2])/2):0,e.shape[1]>e.shape[2]?Math.trunc((e.shape[1]-e.shape[2])/2):0];_0=[[0,0],r,s,[0,0]],o.pad=A.pad(o.cropped||e,_0),o.resize=A.image.resizeBilinear(o.pad,[t,t]),n=A.div(o.resize,W.tf255)}else e.shape[1]!==t?(o.resize=A.image.resizeBilinear(o.cropped||e,[t,t]),n=A.div(o.resize,W.tf255)):n=A.div(o.cropped||e,W.tf255);return Object.keys(o).forEach(r=>A.dispose(o[r])),n}function Rr(e,t){for(let o of e)o.position=[Math.trunc(o.position[0]*(t[0]+_0[2][0]+_0[2][1])/t[0]-_0[2][0]),Math.trunc(o.position[1]*(t[1]+_0[1][0]+_0[1][1])/t[1]-_0[1][0]),o.position[2]],o.positionRaw=[o.position[0]/t[0],o.position[1]/t[1],2*o.position[2]/(t[0]+t[1])];if(t2)for(let o of e)o.positionRaw=[o.positionRaw[0]+t2[1],o.positionRaw[1]+t2[0],o.positionRaw[2]],o.position=[Math.trunc(o.positionRaw[0]*t[0]),Math.trunc(o.positionRaw[1]*t[1]),o.positionRaw[2]];return e}async function Tr(e){let t=e.find(i=>i.part==="leftPalm"),o=e.find(i=>i.part==="leftWrist"),n=e.find(i=>i.part==="leftIndex");t.position[2]=((o.position[2]||0)+(n.position[2]||0))/2;let r=e.find(i=>i.part==="rightPalm"),s=e.find(i=>i.part==="rightWrist"),a=e.find(i=>i.part==="rightIndex");r.position[2]=((s.position[2]||0)+(a.position[2]||0))/2}async function wr(e,t,o){var b;let n={};[n.ld,n.segmentation,n.heatmap,n.world,n.poseflag]=(b=u0.landmarks)==null?void 0:b.execute(e,Pr.landmarks);let r=(await n.poseflag.data())[0],s=await n.ld.data(),a=await n.world.data();Object.keys(n).forEach(p=>A.dispose(n[p]));let i=[],y=5;for(let p=0;pp.position),l=H0(d,[o[0],o[1]]),f={};for(let[p,v]of Object.entries(R5)){let P=[];for(let M=0;MC.part===v[M]),h=c.find(C=>C.part===v[M+1]);m&&h&&P.push([m.position,h.position])}f[p]=P}return{id:0,score:Math.trunc(100*r)/100,box:l.box,boxRaw:l.boxRaw,keypoints:c,annotations:f}}async function w5(e,t){let o=[e.shape[2]||0,e.shape[1]||0],n=(t.body.skipTime||0)>g()-St,r=T5<(t.body.skipFrames||0);if(t.skipAllowed&&n&&r&&w2!==null)T5++;else{let s={};s.landmarks=await vr(e,256),w2=await wr(s.landmarks,t,o),Object.keys(s).forEach(a=>A.dispose(s[a])),St=g(),T5=0}return w2?[w2]:[]}var Ee=[{class:1,label:"person"},{class:2,label:"bicycle"},{class:3,label:"car"},{class:4,label:"motorcycle"},{class:5,label:"airplane"},{class:6,label:"bus"},{class:7,label:"train"},{class:8,label:"truck"},{class:9,label:"boat"},{class:10,label:"traffic light"},{class:11,label:"fire hydrant"},{class:12,label:"stop 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drier"},{class:80,label:"toothbrush"}];var V0,xe=0,k5=[],Lt=0,E5=Number.MAX_SAFE_INTEGER;async function Wt(e){if(T.initial&&(V0=null),V0)e.debug&&u("cached model:",V0.modelUrl);else{V0=await O(e.object.modelPath);let t=Object.values(V0.modelSignature.inputs);xe=Array.isArray(t)?parseInt(t[0].tensorShape.dim[2].size):0}return V0}async function kr(e,t,o){if(!e)return[];let n={},r=[],s=await e.array();n.squeeze=A.squeeze(e);let a=A.split(n.squeeze,6,1);n.stack=A.stack([a[1],a[0],a[3],a[2]],1),n.boxes=A.squeeze(n.stack),n.scores=A.squeeze(a[4]),n.classes=A.squeeze(a[5]),A.dispose([e,...a]),n.nms=await A.image.nonMaxSuppressionAsync(n.boxes,n.scores,o.object.maxDetected,o.object.iouThreshold,o.object.minConfidence||0);let i=await n.nms.data(),y=0;for(let c of Array.from(i)){let d=Math.trunc(100*s[0][c][4])/100,l=s[0][c][5],f=Ee[l].label,[x,b]=[s[0][c][0]/xe,s[0][c][1]/xe],p=[x,b,s[0][c][2]/xe-x,s[0][c][3]/xe-b],v=[Math.trunc(p[0]*t[0]),Math.trunc(p[1]*t[1]),Math.trunc(p[2]*t[0]),Math.trunc(p[3]*t[1])];r.push({id:y++,score:d,class:l,label:f,box:v,boxRaw:p})}return Object.keys(n).forEach(c=>A.dispose(n[c])),r}async function z5(e,t){let o=(t.object.skipTime||0)>g()-Lt,n=E5<(t.object.skipFrames||0);return t.skipAllowed&&o&&n&&k5.length>0?(E5++,k5):(E5=0,new Promise(async r=>{let s=[e.shape[2]||0,e.shape[1]||0],a=A.image.resizeBilinear(e,[xe,xe]),i=t.object.enabled?V0==null?void 0:V0.execute(a,["tower_0/detections"]):null;Lt=g(),A.dispose(a);let y=await kr(i,s,t);k5=y,r(y)}))}var k2={};K0(k2,{connected:()=>C5,kpt:()=>S5});var S5=["head","neck","rightShoulder","rightElbow","rightWrist","chest","leftShoulder","leftElbow","leftWrist","bodyCenter","rightHip","rightKnee","rightAnkle","leftHip","leftKnee","leftAnkle"],C5={leftLeg:["leftHip","leftKnee","leftAnkle"],rightLeg:["rightHip","rightKnee","rightAnkle"],torso:["leftShoulder","rightShoulder","rightHip","leftHip","leftShoulder"],leftArm:["leftShoulder","leftElbow","leftWrist"],rightArm:["rightShoulder","rightElbow","rightWrist"],head:[]};var a0,Gt=0,d0={id:0,keypoints:[],box:[0,0,0,0],boxRaw:[0,0,0,0],score:0,annotations:{}},j5=Number.MAX_SAFE_INTEGER;async function Bt(e){return T.initial&&(a0=null),a0?e.debug&&u("cached model:",a0.modelUrl):a0=await O(e.body.modelPath),a0}async function Er(e,t){let[o,n]=e.shape,r=A.reshape(e,[n*o]),s=A.max(r,0),a=(await s.data())[0];if(a>t){let i=A.argMax(r,0),y=A.mod(i,o),c=(await y.data())[0],d=A.div(i,o),l=(await d.data())[0];return A.dispose([r,s,i,y,d]),[c,l,a]}else return A.dispose([r,s]),[0,0,a]}async function I5(e,t){let o=(t.body.skipTime||0)>g()-Gt,n=j5<(t.body.skipFrames||0);return t.skipAllowed&&o&&n&&Object.keys(d0.keypoints).length>0?(j5++,[d0]):(j5=0,new Promise(async r=>{var l;let s=A.tidy(()=>{if(!(a0!=null&&a0.inputs[0].shape))return null;let f=A.image.resizeBilinear(e,[a0.inputs[0].shape[2],a0.inputs[0].shape[1]],!1),x=A.mul(f,W.tf2);return A.sub(x,W.tf1)}),a;if(t.body.enabled&&(a=a0==null?void 0:a0.execute(s)),Gt=g(),A.dispose(s),a){d0.keypoints.length=0;let f=A.squeeze(a);A.dispose(a);let x=A.unstack(f,2);A.dispose(f);for(let b=0;b(((l=t.body)==null?void 0:l.minConfidence)||0)&&d0.keypoints.push({score:Math.round(100*P)/100,part:S5[b],positionRaw:[p/a0.inputs[0].shape[2],v/a0.inputs[0].shape[1]],position:[Math.round(e.shape[2]*p/a0.inputs[0].shape[2]),Math.round(e.shape[1]*v/a0.inputs[0].shape[1])]})}x.forEach(b=>A.dispose(b))}d0.score=d0.keypoints.reduce((f,x)=>x.score>f?x.score:f,0);let i=d0.keypoints.map(f=>f.position[0]),y=d0.keypoints.map(f=>f.position[1]);d0.box=[Math.min(...i),Math.min(...y),Math.max(...i)-Math.min(...i),Math.max(...y)-Math.min(...y)];let c=d0.keypoints.map(f=>f.positionRaw[0]),d=d0.keypoints.map(f=>f.positionRaw[1]);d0.boxRaw=[Math.min(...c),Math.min(...d),Math.max(...c)-Math.min(...c),Math.max(...d)-Math.min(...d)];for(let[f,x]of Object.entries(C5)){let b=[];for(let p=0;pM.part===x[p]),P=d0.keypoints.find(M=>M.part===x[p+1]);v&&P&&v.score>(t.body.minConfidence||0)&&P.score>(t.body.minConfidence||0)&&b.push([v.position,P.position])}d0.annotations[f]=b}r([d0])}))}var zr=["angry","disgust","fear","happy","sad","surprise","neutral"],R0,E2=[],Vt=0,Dt=0,N5=Number.MAX_SAFE_INTEGER;async function Zt(e){var t;return T.initial&&(R0=null),R0?e.debug&&u("cached model:",R0.modelUrl):R0=await O((t=e.face.emotion)==null?void 0:t.modelPath),R0}async function O5(e,t,o,n){var a,i;if(!R0)return[];let r=N5<(((a=t.face.emotion)==null?void 0:a.skipFrames)||0),s=(((i=t.face.emotion)==null?void 0:i.skipTime)||0)>g()-Dt;return t.skipAllowed&&s&&r&&Vt===n&&E2[o]&&E2[o].length>0?(N5++,E2[o]):(N5=0,new Promise(async y=>{var d,l;let c=[];if((d=t.face.emotion)!=null&&d.enabled){let f={},x=R0!=null&&R0.inputs[0].shape?R0.inputs[0].shape[2]:0;f.resize=A.image.resizeBilinear(e,[x,x],!1),f.channels=A.mul(f.resize,W.rgb),f.grayscale=A.sum(f.channels,3,!0),f.grayscaleSub=A.sub(f.grayscale,W.tf05),f.grayscaleMul=A.mul(f.grayscaleSub,W.tf2),f.emotion=R0==null?void 0:R0.execute(f.grayscaleMul),Dt=g();let b=await f.emotion.data();for(let p=0;p(((l=t.face.emotion)==null?void 0:l.minConfidence)||0)&&c.push({score:Math.min(.99,Math.trunc(100*b[p])/100),emotion:zr[p]});c.sort((p,v)=>v.score-p.score),Object.keys(f).forEach(p=>A.dispose(f[p]))}E2[o]=c,Vt=n,y(c)}))}var h0,L5=[],qt=0,Ut=0,Yt=Number.MAX_SAFE_INTEGER;async function Kt(e){return T.initial&&(h0=null),h0?e.debug&&u("cached model:",h0.modelUrl):h0=await O(e.face.mobilefacenet.modelPath),h0}async function W5(e,t,o,n){var a,i;if(!h0)return[];let r=Yt<(((a=t.face.mobilefacenet)==null?void 0:a.skipFrames)||0),s=(((i=t.face.mobilefacenet)==null?void 0:i.skipTime)||0)>g()-Ut;return t.skipAllowed&&s&&r&&qt===n&&L5[o]?(Yt++,L5[o]):new Promise(async y=>{var d;let c=[];if(((d=t.face.mobilefacenet)==null?void 0:d.enabled)&&(h0==null?void 0:h0.inputs[0].shape)){let l={};l.crop=A.image.resizeBilinear(e,[h0.inputs[0].shape[2],h0.inputs[0].shape[1]],!1),l.data=h0==null?void 0:h0.execute(l.crop);let f=await l.data.data();c=Array.from(f),Object.keys(l).forEach(x=>A.dispose(l[x]))}L5[o]=c,qt=n,Ut=g(),y(c)})}var b0,F5=[],Qt=0,_t=0,$t=Number.MAX_SAFE_INTEGER;async function e3(e){return T.initial&&(b0=null),b0?e.debug&&u("cached model:",b0.modelUrl):b0=await O(e.face.insightface.modelPath),b0}async function G5(e,t,o,n){var a,i;if(!b0)return[];let r=$t<(((a=t.face.insightface)==null?void 0:a.skipFrames)||0),s=(((i=t.face.insightface)==null?void 0:i.skipTime)||0)>g()-_t;return t.skipAllowed&&s&&r&&Qt===n&&F5[o]?($t++,F5[o]):new Promise(async y=>{var d;let c=[];if(((d=t.face.insightface)==null?void 0:d.enabled)&&(b0==null?void 0:b0.inputs[0].shape)){let l={};l.crop=A.image.resizeBilinear(e,[b0.inputs[0].shape[2],b0.inputs[0].shape[1]],!1),l.data=b0==null?void 0:b0.execute(l.crop);let f=await l.data.data();c=Array.from(f),Object.keys(l).forEach(x=>A.dispose(l[x]))}F5[o]=c,Qt=n,_t=g(),y(c)})}var D0,$0=0,Sr=2.3,B5=z0.leftEyeLower0,H5=z0.rightEyeLower0,ze={leftBounds:[B5[0],B5[B5.length-1]],rightBounds:[H5[0],H5[H5.length-1]]},Se={upperCenter:3,lowerCenter:4,index:71,numCoordinates:76};async function A3(e){var t;return T.initial&&(D0=null),D0?e.debug&&u("cached model:",D0.modelUrl):D0=await O((t=e.face.iris)==null?void 0:t.modelPath),$0=D0.inputs[0].shape?D0.inputs[0].shape[2]:0,$0===-1&&($0=64),D0}function z2(e,t,o,n){for(let r=0;r{let t=e[ze.leftBounds[0]][2],o=e[ze.rightBounds[0]][2];return t-o},o3=(e,t,o,n,r,s=!1)=>{let a=M2(g2(pt([e[o],e[n]]),Sr)),i=Te(a),y=A.image.cropAndResize(t,[[a.startPoint[1]/r,a.startPoint[0]/r,a.endPoint[1]/r,a.endPoint[0]/r]],[0],[$0,$0]);if(s&&T.kernels.includes("flipleftright")){let c=A.image.flipLeftRight(y);A.dispose(y),y=c}return{box:a,boxSize:i,crop:y}},n3=(e,t,o,n=!1)=>{let r=[];for(let s=0;s{let n=e[z0[`${o}EyeUpper0`][Se.upperCenter]][2],r=e[z0[`${o}EyeLower0`][Se.lowerCenter]][2],s=(n+r)/2;return t.map((a,i)=>{let y=s;return i===2?y=n:i===4&&(y=r),[a[0],a[1],y]})};async function s3(e,t,o,n){if(!D0)return o.debug&&u("face mesh iris detection requested, but model is not loaded"),e;let{box:r,boxSize:s,crop:a}=o3(e,t,ze.leftBounds[0],ze.leftBounds[1],n,!0),{box:i,boxSize:y,crop:c}=o3(e,t,ze.rightBounds[0],ze.rightBounds[1],n,!0),d=A.concat([a,c]);A.dispose(a),A.dispose(c);let l=D0.execute(d);A.dispose(d);let f=await l.data();A.dispose(l);let x=f.slice(0,Se.numCoordinates*3),{rawCoords:b,iris:p}=n3(x,r,s,!0),v=f.slice(Se.numCoordinates*3),{rawCoords:P,iris:M}=n3(v,i,y,!1),m=Cr(e);Math.abs(m)<30?(z2(e,b,"left",null),z2(e,P,"right",null)):m<1?z2(e,b,"left",["EyeUpper0","EyeLower0"]):z2(e,P,"right",["EyeUpper0","EyeLower0"]);let h=r3(e,p,"left"),C=r3(e,M,"right");return e.concat(h).concat(C)}var jr=[[61,146],[146,91],[91,181],[181,84],[84,17],[17,314],[314,405],[405,321],[321,375],[375,291],[61,185],[185,40],[40,39],[39,37],[37,0],[0,267],[267,269],[269,270],[270,409],[409,291],[78,95],[95,88],[88,178],[178,87],[87,14],[14,317],[317,402],[402,318],[318,324],[324,308],[78,191],[191,80],[80,81],[81,82],[82,13],[13,312],[312,311],[311,310],[310,415],[415,308]],Ir=[[263,249],[249,390],[390,373],[373,374],[374,380],[380,381],[381,382],[382,362],[263,466],[466,388],[388,387],[387,386],[386,385],[385,384],[384,398],[398,362]],Nr=[[276,283],[283,282],[282,295],[295,285],[300,293],[293,334],[334,296],[296,336]],Or=[[474,475],[475,476],[476,477],[477,474]],Lr=[[33,7],[7,163],[163,144],[144,145],[145,153],[153,154],[154,155],[155,133],[33,246],[246,161],[161,160],[160,159],[159,158],[158,157],[157,173],[173,133]],Wr=[[46,53],[53,52],[52,65],[65,55],[70,63],[63,105],[105,66],[66,107]],Fr=[[469,470],[470,471],[471,472],[472,469]],Gr=[[10,338],[338,297],[297,332],[332,284],[284,251],[251,389],[389,356],[356,454],[454,323],[323,361],[361,288],[288,397],[397,365],[365,379],[379,378],[378,400],[400,377],[377,152],[152,148],[148,176],[176,149],[149,150],[150,136],[136,172],[172,58],[58,132],[132,93],[93,234],[234,127],[127,162],[162,21],[21,54],[54,103],[103,67],[67,109],[109,10]];function ee(e){let t=e.map(o=>o[0]);return t.push(e[e.length-1][1]),t}var Br={lips:ee(jr),leftEye:ee(Ir),leftEyebrow:ee(Nr),leftIris:ee(Or),rightEye:ee(Lr),rightEyebrow:ee(Wr),rightIris:ee(Fr),faceOval:ee(Gr)},Hr=Object.entries(Br).map(([e,t])=>t.map(o=>[o,e])).flat(),n4=new Map(Hr),o2=[61,146,91,181,84,17,314,405,321,375,291,185,40,39,37,0,267,269,270,409,78,95,88,178,87,14,317,402,318,324,308,191,80,81,82,13,312,311,310,415,76,77,90,180,85,16,315,404,320,307,306,184,74,73,72,11,302,303,304,408,62,96,89,179,86,15,316,403,319,325,292,183,42,41,38,12,268,271,272,407],de=[33,7,163,144,145,153,154,155,133,246,161,160,159,158,157,173,130,25,110,24,23,22,26,112,243,247,30,29,27,28,56,190,226,31,228,229,230,231,232,233,244,113,225,224,223,222,221,189,35,124,46,53,52,65,143,111,117,118,119,120,121,128,245,156,70,63,105,66,107,55,193],fe=[263,249,390,373,374,380,381,382,362,466,388,387,386,385,384,398,359,255,339,254,253,252,256,341,463,467,260,259,257,258,286,414,446,261,448,449,450,451,452,453,464,342,445,444,443,442,441,413,265,353,276,283,282,295,372,340,346,347,348,349,350,357,465,383,300,293,334,296,336,285,417];async function l3(e,t){let o={lips:await t.filter(s=>s.size===160)[0].data(),irisL:await t.filter(s=>s.size===10)[0].data(),eyeL:await t.filter(s=>s.size===142)[0].data(),irisR:await t.filter(s=>s.size===10)[1].data(),eyeR:await t.filter(s=>s.size===142)[1].data()},n=de.reduce((s,a)=>s+=e[a][2],0)/de.length;for(let s=0;ss+=e[a][2],0)/fe.length;for(let s=0;sg()-W0.timestamp,n=W0.skipped<(((y=t.face.detector)==null?void 0:y.skipFrames)||0);!t.skipAllowed||!o||!n||W0.boxes.length===0?(W0.boxes=await Tt(e,t),W0.timestamp=g(),W0.skipped=0):W0.skipped++;let r=[],s=[],a=0;for(let m=0;mL.shape[L.shape.length-1]===1).data();if(k.faceScore=Math.round(100*B[0])/100,k.faceScore<(((b=t.face.detector)==null?void 0:b.minConfidence)||1)){if(h.confidence=k.faceScore,(p=t.face.mesh)!=null&&p.keepInvalid){k.box=h2(h,e),k.boxRaw=b2(h,e),k.score=k.boxScore,k.mesh=h.landmarks.map(L=>[(h.startPoint[0]+h.endPoint[0])/2+(h.endPoint[0]+h.startPoint[0])*L[0]/we(),(h.startPoint[1]+h.endPoint[1])/2+(h.endPoint[1]+h.startPoint[1])*L[1]/we()]),k.meshRaw=k.mesh.map(L=>[L[0]/(e.shape[2]||1),L[1]/(e.shape[1]||1),(L[2]||0)/me]);for(let L of Object.keys(le))k.annotations[L]=[k.mesh[le[L]]]}}else{let L=z.find(e0=>e0.shape[e0.shape.length-1]===1404),K=A.reshape(L,[-1,3]),Z=await K.array();A.dispose(K),(v=t.face.attention)!=null&&v.enabled?Z=await l3(Z,z):(P=t.face.iris)!=null&&P.enabled&&(Z=await s3(Z,k.tensor,t,me)),k.mesh=bt(Z,h,C,N,me),k.meshRaw=k.mesh.map(e0=>[e0[0]/(e.shape[2]||0),e0[1]/(e.shape[1]||0),(e0[2]||0)/me]);for(let e0 of Object.keys(z0))k.annotations[e0]=z0[e0].map(v0=>k.mesh[v0]);k.score=k.faceScore;let S={...Mt(k.mesh,h),confidence:h.confidence,landmarks:h.landmarks};k.box=h2(S,e),k.boxRaw=b2(S,e),s.push(S)}A.dispose(z)}else{k.box=h2(h,e),k.boxRaw=b2(h,e),k.score=k.boxScore,k.mesh=h.landmarks.map(z=>[(h.startPoint[0]+h.endPoint[0])/2+(h.endPoint[0]+h.startPoint[0])*z[0]/we(),(h.startPoint[1]+h.endPoint[1])/2+(h.endPoint[1]+h.startPoint[1])*z[1]/we()]),k.meshRaw=k.mesh.map(z=>[z[0]/(e.shape[2]||0),z[1]/(e.shape[1]||0),(z[2]||0)/me]);for(let z of Object.keys(le))k.annotations[z]=[k.mesh[le[z]]]}k.score>(((M=t.face.detector)==null?void 0:M.minConfidence)||1)?r.push(k):A.dispose(k.tensor)}return W0.boxes=s,r}async function c3(e){var t,o,n,r,s,a;return T.initial&&(i0=null),((o=(t=e==null?void 0:e.face)==null?void 0:t.attention)==null?void 0:o.enabled)&&(i0==null?void 0:i0.signature)&&Object.keys(((n=i0==null?void 0:i0.signature)==null?void 0:n.outputs)||{}).length<6&&(i0=null),i0?e.debug&&u("cached model:",i0.modelUrl):(r=e.face.attention)!=null&&r.enabled?i0=await O((s=e.face.attention)==null?void 0:s.modelPath):i0=await O((a=e.face.mesh)==null?void 0:a.modelPath),me=i0.inputs[0].shape?i0.inputs[0].shape[2]:0,i0}var x3=ye,d3=$e;var g0,S2=[],f3=0,m3=0,D5=Number.MAX_SAFE_INTEGER;async function p3(e){var t;return T.initial&&(g0=null),g0?e.debug&&u("cached model:",g0.modelUrl):g0=await O((t=e.face.description)==null?void 0:t.modelPath),g0}function Z5(e){let t=e.image||e.tensor||e;if(!(g0!=null&&g0.inputs[0].shape))return t;let o=A.image.resizeBilinear(t,[g0.inputs[0].shape[2],g0.inputs[0].shape[1]],!1),n=A.mul(o,W.tf255);return A.dispose(o),n}async function X5(e,t,o,n){var a,i,y,c;if(!g0)return{age:0,gender:"unknown",genderScore:0,descriptor:[]};let r=D5<(((a=t.face.description)==null?void 0:a.skipFrames)||0),s=(((i=t.face.description)==null?void 0:i.skipTime)||0)>g()-f3;return t.skipAllowed&&r&&s&&m3===n&&((y=S2[o])==null?void 0:y.age)&&((c=S2[o])==null?void 0:c.age)>0?(D5++,S2[o]):(D5=0,new Promise(async d=>{var f,x;let l={age:0,gender:"unknown",genderScore:0,descriptor:[]};if((f=t.face.description)!=null&&f.enabled){let b=Z5(e),p=g0==null?void 0:g0.execute(b);f3=g(),A.dispose(b);let P=await(await p.find(F=>F.shape[1]===1)).data(),M=Math.trunc(200*Math.abs(P[0]-.5))/100;M>(((x=t.face.description)==null?void 0:x.minConfidence)||0)&&(l.gender=P[0]<=.5?"female":"male",l.genderScore=Math.min(.99,M));let m=A.argMax(p.find(F=>F.shape[1]===100),1),h=(await m.data())[0];A.dispose(m);let N=await 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t=e.map(s=>s[0]),n=e.map(s=>s[1]);return[Math.min(...t)+(Math.max(...t)-Math.min(...t))/2,Math.min(...n)+(Math.max(...n)-Math.min(...n))/2]},eN=(e,t)=>{let n=b5e(e),s=Ad(t);return{startPoint:[n[0]-s[0]/2,n[1]-s[1]/2],endPoint:[n[0]+s[0]/2,n[1]+s[1]/2]}};var tN=6,v5e=1.4,ta,nN=null,gi=0,Xh=null,xd=()=>gi;async function sN(e){var t;return pe.initial&&(ta=null),ta?e.debug&&oe("cached model:",ta.modelUrl):ta=await He((t=e.face.detector)==null?void 0:t.modelPath),gi=ta.inputs[0].shape?ta.inputs[0].shape[2]:0,Xh=Ce(gi,"int32"),nN=lr(YT(gi)),ta}function w5e(e){let t={};t.boxStarts=Me(e,[0,1],[-1,2]),t.centers=ce(t.boxStarts,nN),t.boxSizes=Me(e,[0,3],[-1,2]),t.boxSizesNormalized=he(t.boxSizes,Xh),t.centersNormalized=he(t.centers,Xh),t.halfBoxSize=he(t.boxSizesNormalized,rt.tf2),t.starts=fe(t.centersNormalized,t.halfBoxSize),t.ends=ce(t.centersNormalized,t.halfBoxSize),t.startNormalized=L(t.starts,Xh),t.endNormalized=L(t.ends,Xh);let n=Zl([t.startNormalized,t.endNormalized],1);return Object.keys(t).forEach(s=>ee(t[s])),n}async function rN(e,t){var i,l,u,c;if(!e||e.isDisposedInternal||e.shape.length!==4||e.shape[1]<1||e.shape[2]<1)return[];let n={};n.resized=Se.resizeBilinear(e,[gi,gi]),n.div=he(n.resized,rt.tf127),n.normalized=fe(n.div,rt.tf05);let s=ta==null?void 0:ta.execute(n.normalized);if(Array.isArray(s)&&s.length>2){let p=s.sort((d,h)=>d.size-h.size);n.concat384=Ct([p[0],p[2]],2),n.concat512=Ct([p[1],p[3]],2),n.concat=Ct([n.concat512,n.concat384],1),n.batch=st(n.concat,0)}else Array.isArray(s)?n.batch=st(s[0]):n.batch=st(s);ee(s),n.boxes=w5e(n.batch),n.logits=Me(n.batch,[0,0],[-1,1]),n.sigmoid=Cn(n.logits),n.scores=st(n.sigmoid),n.nms=await Se.nonMaxSuppressionAsync(n.boxes,n.scores,((i=t.face.detector)==null?void 0:i.maxDetected)||0,((l=t.face.detector)==null?void 0:l.iouThreshold)||0,((u=t.face.detector)==null?void 0:u.minConfidence)||0);let r=await n.nms.array(),a=[],o=await n.scores.data();for(let p=0;p(((c=t.face.detector)==null?void 0:c.minConfidence)||0)){let h={};h.bbox=Me(n.boxes,[r[p],0],[1,-1]),h.slice=Me(n.batch,[r[p],tN-1],[1,-1]),h.squeeze=st(h.slice),h.landmarks=G(h.squeeze,[tN,-1]);let f=await h.bbox.data(),m={startPoint:[f[0],f[1]],endPoint:[f[2],f[3]],landmarks:await h.landmarks.array(),confidence:d},g=XT(m,[(e.shape[2]||0)/gi,(e.shape[1]||0)/gi]),y=V2(g,t.face.scale||v5e),x=U2(y);a.push(x),Object.keys(h).forEach(A=>ee(h[A]))}}return Object.keys(n).forEach(p=>ee(n[p])),a}var G2={};la(G2,{connected:()=>Pb,kpt:()=>$b});var $b=["nose","leftEyeInside","leftEye","leftEyeOutside","rightEyeInside","rightEye","rightEyeOutside","leftEar","rightEar","leftMouth","rightMouth","leftShoulder","rightShoulder","leftElbow","rightElbow","leftWrist","rightWrist","leftPinky","rightPinky","leftIndex","rightIndex","leftThumb","rightThumb","leftHip","rightHip","leftKnee","rightKnee","leftAnkle","rightAnkle","leftHeel","rightHeel","leftFoot","rightFoot","bodyCenter","bodyTop","leftPalm","leftHand","rightPalm","rightHand"],Pb={shoulders:["leftShoulder","rightShoulder"],hips:["rightHip","leftHip"],mouth:["leftMouth","rightMouth"],leftLegUpper:["leftHip","leftKnee"],leftLegLower:["leftKnee","leftAnkle"],leftFoot:["leftAnkle","leftHeel","leftFoot"],leftTorso:["leftShoulder","leftHip"],leftArmUpper:["leftShoulder","leftElbow"],leftArmLower:["leftElbow","leftWrist"],leftHand:["leftWrist","leftPalm"],leftHandPinky:["leftPalm","leftPinky"],leftHandIndex:["leftPalm","leftIndex"],leftHandThumb:["leftPalm","leftThumb"],leftEyeOutline:["leftEyeInside","leftEyeOutside"],rightLegUpper:["rightHip","rightKnee"],rightLegLower:["rightKnee","rightAnkle"],rightFoot:["rightAnkle","rightHeel","rightFoot"],rightTorso:["rightShoulder","rightHip"],rightArmUpper:["rightShoulder","rightElbow"],rightArmLower:["rightElbow","rightWrist"],rightHand:["rightWrist","rightPalm"],rightHandPinky:["rightPalm","rightPinky"],rightHandIndex:["rightPalm","rightIndex"],rightHandThumb:["rightPalm","rightThumb"],rightEyeOutline:["rightEyeInside","rightEyeOutside"]};var oN=224,k5e,I5e=5,H2=[8,16,32,32,32];async function iN(){let e=[],t=0;for(;tn.x)),y:Ft(e.map(n=>n.y))}}function Ea(e,t=[1,1]){let n=[e.map(i=>i[0]),e.map(i=>i[1])],s=[Math.min(...n[0]),Math.min(...n[1])],r=[Math.max(...n[0]),Math.max(...n[1])],a=[s[0],s[1],r[0]-s[0],r[1]-s[1]],o=[a[0]/t[0],a[1]/t[1],a[2]/t[0],a[3]/t[1]];return{box:a,boxRaw:o}}function lN(e,t=[1,1]){let n=[e.map(u=>u[0]),e.map(u=>u[1])],s=[Math.min(...n[0]),Math.min(...n[1])],r=[Math.max(...n[0]),Math.max(...n[1])],a=[(s[0]+r[0])/2,(s[1]+r[1])/2],o=Math.max(a[0]-s[0],a[1]-s[1],-a[0]+r[0],-a[1]+r[1]),i=[Math.trunc(a[0]-o),Math.trunc(a[1]-o),Math.trunc(2*o),Math.trunc(2*o)],l=[i[0]/t[0],i[1]/t[1],i[2]/t[0],i[3]/t[1]];return{box:i,boxRaw:l}}function j2(e,t){let n=[e[2]*t,e[3]*t];return[e[0]-(n[0]-e[2])/2,e[1]-(n[1]-e[3])/2,n[0],n[1]]}var dN={initial:!0},zs={detector:null,landmarks:null},bd={detector:[224,224],landmarks:[256,256]},Fb=Number.MAX_SAFE_INTEGER,C5e={landmarks:["ld_3d","activation_segmentation","activation_heatmap","world_3d","output_poseflag"],detector:[]},X2=null,Kh,yi=[[0,0],[0,0],[0,0],[0,0]],uN=0,cN=e=>1-1/(1+Math.exp(e));async function pN(e){if(dN.initial&&(zs.detector=null),!zs.detector&&e.body.detector&&e.body.detector.modelPath){zs.detector=await He(e.body.detector.modelPath);let t=Object.values(zs.detector.modelSignature.inputs);bd.detector[0]=Array.isArray(t)?parseInt(t[0].tensorShape.dim[1].size):0,bd.detector[1]=Array.isArray(t)?parseInt(t[0].tensorShape.dim[2].size):0}else e.debug&&zs.detector&&oe("cached model:",zs.detector.modelUrl);return await iN(),zs.detector}async function hN(e){if(dN.initial&&(zs.landmarks=null),zs.landmarks)e.debug&&oe("cached model:",zs.landmarks.modelUrl);else{zs.landmarks=await He(e.body.modelPath);let t=Object.values(zs.landmarks.modelSignature.inputs);bd.landmarks[0]=Array.isArray(t)?parseInt(t[0].tensorShape.dim[1].size):0,bd.landmarks[1]=Array.isArray(t)?parseInt(t[0].tensorShape.dim[2].size):0}return zs.landmarks}async function T5e(e,t){let n={};if(!e.shape||!e.shape[1]||!e.shape[2])return e;let s;if(Kh&&(n.cropped=Se.cropAndResize(e,[Kh],[0],[e.shape[1],e.shape[2]])),e.shape[1]!==e.shape[2]){let r=[e.shape[2]>e.shape[1]?Math.trunc((e.shape[2]-e.shape[1])/2):0,e.shape[2]>e.shape[1]?Math.trunc((e.shape[2]-e.shape[1])/2):0],a=[e.shape[1]>e.shape[2]?Math.trunc((e.shape[1]-e.shape[2])/2):0,e.shape[1]>e.shape[2]?Math.trunc((e.shape[1]-e.shape[2])/2):0];yi=[[0,0],r,a,[0,0]],n.pad=Qs(n.cropped||e,yi),n.resize=Se.resizeBilinear(n.pad,[t,t]),s=he(n.resize,rt.tf255)}else e.shape[1]!==t?(n.resize=Se.resizeBilinear(n.cropped||e,[t,t]),s=he(n.resize,rt.tf255)):s=he(n.cropped||e,rt.tf255);return Object.keys(n).forEach(r=>ee(n[r])),s}function N5e(e,t){for(let n of e)n.position=[Math.trunc(n.position[0]*(t[0]+yi[2][0]+yi[2][1])/t[0]-yi[2][0]),Math.trunc(n.position[1]*(t[1]+yi[1][0]+yi[1][1])/t[1]-yi[1][0]),n.position[2]],n.positionRaw=[n.position[0]/t[0],n.position[1]/t[1],2*n.position[2]/(t[0]+t[1])];if(Kh)for(let n of e)n.positionRaw=[n.positionRaw[0]+Kh[1],n.positionRaw[1]+Kh[0],n.positionRaw[2]],n.position=[Math.trunc(n.positionRaw[0]*t[0]),Math.trunc(n.positionRaw[1]*t[1]),n.positionRaw[2]];return e}async function E5e(e){let t=e.find(i=>i.part==="leftPalm"),n=e.find(i=>i.part==="leftWrist"),s=e.find(i=>i.part==="leftIndex");t.position[2]=((n.position[2]||0)+(s.position[2]||0))/2;let r=e.find(i=>i.part==="rightPalm"),a=e.find(i=>i.part==="rightWrist"),o=e.find(i=>i.part==="rightIndex");r.position[2]=((a.position[2]||0)+(o.position[2]||0))/2}async function R5e(e,t,n){var f;let s={};[s.ld,s.segmentation,s.heatmap,s.world,s.poseflag]=(f=zs.landmarks)==null?void 0:f.execute(e,C5e.landmarks);let r=(await s.poseflag.data())[0],a=await s.ld.data(),o=await s.world.data();Object.keys(s).forEach(m=>ee(s[m]));let i=[],l=5;for(let m=0;mm.position),p=Ea(c,[n[0],n[1]]),d={};for(let[m,g]of Object.entries(Pb)){let y=[];for(let x=0;xw.part===g[x]),b=u.find(w=>w.part===g[x+1]);A&&b&&y.push([A.position,b.position])}d[m]=y}return{id:0,score:Math.trunc(100*r)/100,box:p.box,boxRaw:p.boxRaw,keypoints:u,annotations:d}}async function Ob(e,t){let n=[e.shape[2]||0,e.shape[1]||0],s=(t.body.skipTime||0)>ue()-uN,r=Fb<(t.body.skipFrames||0);if(t.skipAllowed&&s&&r&&X2!==null)Fb++;else{let a={};a.landmarks=await T5e(e,256),X2=await R5e(a.landmarks,t,n),Object.keys(a).forEach(o=>ee(a[o])),uN=ue(),Fb=0}return X2?[X2]:[]}var vd=[{class:1,label:"person"},{class:2,label:"bicycle"},{class:3,label:"car"},{class:4,label:"motorcycle"},{class:5,label:"airplane"},{class:6,label:"bus"},{class:7,label:"train"},{class:8,label:"truck"},{class:9,label:"boat"},{class:10,label:"traffic light"},{class:11,label:"fire hydrant"},{class:12,label:"stop 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drier"},{class:80,label:"toothbrush"}];var Ra,du=0,Mb=[],mN=0,zb=Number.MAX_SAFE_INTEGER;async function gN(e){if(pe.initial&&(Ra=null),Ra)e.debug&&oe("cached model:",Ra.modelUrl);else{Ra=await He(e.object.modelPath);let t=Object.values(Ra.modelSignature.inputs);du=Array.isArray(t)?parseInt(t[0].tensorShape.dim[2].size):0}return Ra}async function _5e(e,t,n){if(!e)return[];let s={},r=[],a=await e.array();s.squeeze=st(e);let o=Zt(s.squeeze,6,1);s.stack=on([o[1],o[0],o[3],o[2]],1),s.boxes=st(s.stack),s.scores=st(o[4]),s.classes=st(o[5]),ee([e,...o]),s.nms=await Se.nonMaxSuppressionAsync(s.boxes,s.scores,n.object.maxDetected,n.object.iouThreshold,n.object.minConfidence||0);let i=await s.nms.data(),l=0;for(let u of Array.from(i)){let c=Math.trunc(100*a[0][u][4])/100,p=a[0][u][5],d=vd[p].label,[h,f]=[a[0][u][0]/du,a[0][u][1]/du],m=[h,f,a[0][u][2]/du-h,a[0][u][3]/du-f],g=[Math.trunc(m[0]*t[0]),Math.trunc(m[1]*t[1]),Math.trunc(m[2]*t[0]),Math.trunc(m[3]*t[1])];r.push({id:l++,score:c,class:p,label:d,box:g,boxRaw:m})}return Object.keys(s).forEach(u=>ee(s[u])),r}async function Lb(e,t){let n=(t.object.skipTime||0)>ue()-mN,s=zb<(t.object.skipFrames||0);return t.skipAllowed&&n&&s&&Mb.length>0?(zb++,Mb):(zb=0,new Promise(async r=>{let a=[e.shape[2]||0,e.shape[1]||0],o=Se.resizeBilinear(e,[du,du]),i=t.object.enabled?Ra==null?void 0:Ra.execute(o,["tower_0/detections"]):null;mN=ue(),ee(o);let l=await _5e(i,a,t);Mb=l,r(l)}))}var K2={};la(K2,{connected:()=>Wb,kpt:()=>Bb});var Bb=["head","neck","rightShoulder","rightElbow","rightWrist","chest","leftShoulder","leftElbow","leftWrist","bodyCenter","rightHip","rightKnee","rightAnkle","leftHip","leftKnee","leftAnkle"],Wb={leftLeg:["leftHip","leftKnee","leftAnkle"],rightLeg:["rightHip","rightKnee","rightAnkle"],torso:["leftShoulder","rightShoulder","rightHip","leftHip","leftShoulder"],leftArm:["leftShoulder","leftElbow","leftWrist"],rightArm:["rightShoulder","rightElbow","rightWrist"],head:[]};var Vn,AN=0,us={id:0,keypoints:[],box:[0,0,0,0],boxRaw:[0,0,0,0],score:0,annotations:{}},Vb=Number.MAX_SAFE_INTEGER;async function xN(e){return pe.initial&&(Vn=null),Vn?e.debug&&oe("cached model:",Vn.modelUrl):Vn=await He(e.body.modelPath),Vn}async function D5e(e,t){let[n,s]=e.shape,r=G(e,[s*n]),a=mn(r,0),o=(await a.data())[0];if(o>t){let i=Rs(r,0),l=Jl(i,n),u=(await l.data())[0],c=he(i,n),p=(await c.data())[0];return ee([r,a,i,l,c]),[u,p,o]}else return ee([r,a]),[0,0,o]}async function Ub(e,t){let n=(t.body.skipTime||0)>ue()-AN,s=Vb<(t.body.skipFrames||0);return t.skipAllowed&&n&&s&&Object.keys(us.keypoints).length>0?(Vb++,[us]):(Vb=0,new Promise(async r=>{var p;let a=Y(()=>{if(!(Vn!=null&&Vn.inputs[0].shape))return null;let d=Se.resizeBilinear(e,[Vn.inputs[0].shape[2],Vn.inputs[0].shape[1]],!1),h=L(d,rt.tf2);return fe(h,rt.tf1)}),o;if(t.body.enabled&&(o=Vn==null?void 0:Vn.execute(a)),AN=ue(),ee(a),o){us.keypoints.length=0;let d=st(o);ee(o);let h=En(d,2);ee(d);for(let f=0;f(((p=t.body)==null?void 0:p.minConfidence)||0)&&us.keypoints.push({score:Math.round(100*y)/100,part:Bb[f],positionRaw:[m/Vn.inputs[0].shape[2],g/Vn.inputs[0].shape[1]],position:[Math.round(e.shape[2]*m/Vn.inputs[0].shape[2]),Math.round(e.shape[1]*g/Vn.inputs[0].shape[1])]})}h.forEach(f=>ee(f))}us.score=us.keypoints.reduce((d,h)=>h.score>d?h.score:d,0);let i=us.keypoints.map(d=>d.position[0]),l=us.keypoints.map(d=>d.position[1]);us.box=[Math.min(...i),Math.min(...l),Math.max(...i)-Math.min(...i),Math.max(...l)-Math.min(...l)];let u=us.keypoints.map(d=>d.positionRaw[0]),c=us.keypoints.map(d=>d.positionRaw[1]);us.boxRaw=[Math.min(...u),Math.min(...c),Math.max(...u)-Math.min(...u),Math.max(...c)-Math.min(...c)];for(let[d,h]of Object.entries(Wb)){let f=[];for(let m=0;mx.part===h[m]),y=us.keypoints.find(x=>x.part===h[m+1]);g&&y&&g.score>(t.body.minConfidence||0)&&y.score>(t.body.minConfidence||0)&&f.push([g.position,y.position])}us.annotations[d]=f}r([us])}))}var $5e=["angry","disgust","fear","happy","sad","surprise","neutral"],tr,Z2=[],vN=0,wN=0,Gb=Number.MAX_SAFE_INTEGER;async function kN(e){var t;return pe.initial&&(tr=null),tr?e.debug&&oe("cached model:",tr.modelUrl):tr=await He((t=e.face.emotion)==null?void 0:t.modelPath),tr}async function Hb(e,t,n,s){var o,i;if(!tr)return[];let r=Gb<(((o=t.face.emotion)==null?void 0:o.skipFrames)||0),a=(((i=t.face.emotion)==null?void 0:i.skipTime)||0)>ue()-wN;return t.skipAllowed&&a&&r&&vN===s&&Z2[n]&&Z2[n].length>0?(Gb++,Z2[n]):(Gb=0,new Promise(async l=>{var c,p;let u=[];if((c=t.face.emotion)!=null&&c.enabled){let d={},h=tr!=null&&tr.inputs[0].shape?tr.inputs[0].shape[2]:0;d.resize=Se.resizeBilinear(e,[h,h],!1),d.channels=L(d.resize,rt.rgb),d.grayscale=ke(d.channels,3,!0),d.grayscaleSub=fe(d.grayscale,rt.tf05),d.grayscaleMul=L(d.grayscaleSub,rt.tf2),d.emotion=tr==null?void 0:tr.execute(d.grayscaleMul),wN=ue();let f=await d.emotion.data();for(let m=0;m(((p=t.face.emotion)==null?void 0:p.minConfidence)||0)&&u.push({score:Math.min(.99,Math.trunc(100*f[m])/100),emotion:$5e[m]});u.sort((m,g)=>g.score-m.score),Object.keys(d).forEach(m=>ee(d[m]))}Z2[n]=u,vN=s,l(u)}))}var Ls,jb=[],SN=0,CN=0,TN=Number.MAX_SAFE_INTEGER;async function NN(e){return pe.initial&&(Ls=null),Ls?e.debug&&oe("cached model:",Ls.modelUrl):Ls=await He(e.face.mobilefacenet.modelPath),Ls}async function qb(e,t,n,s){var o,i;if(!Ls)return[];let r=TN<(((o=t.face.mobilefacenet)==null?void 0:o.skipFrames)||0),a=(((i=t.face.mobilefacenet)==null?void 0:i.skipTime)||0)>ue()-CN;return t.skipAllowed&&a&&r&&SN===s&&jb[n]?(TN++,jb[n]):new Promise(async l=>{var c;let u=[];if(((c=t.face.mobilefacenet)==null?void 0:c.enabled)&&(Ls==null?void 0:Ls.inputs[0].shape)){let p={};p.crop=Se.resizeBilinear(e,[Ls.inputs[0].shape[2],Ls.inputs[0].shape[1]],!1),p.data=Ls==null?void 0:Ls.execute(p.crop);let d=await p.data.data();u=Array.from(d),Object.keys(p).forEach(h=>ee(p[h]))}jb[n]=u,SN=s,CN=ue(),l(u)})}var Bs,Xb=[],RN=0,_N=0,DN=Number.MAX_SAFE_INTEGER;async function $N(e){return pe.initial&&(Bs=null),Bs?e.debug&&oe("cached model:",Bs.modelUrl):Bs=await He(e.face.insightface.modelPath),Bs}async function Kb(e,t,n,s){var o,i;if(!Bs)return[];let r=DN<(((o=t.face.insightface)==null?void 0:o.skipFrames)||0),a=(((i=t.face.insightface)==null?void 0:i.skipTime)||0)>ue()-_N;return t.skipAllowed&&a&&r&&RN===s&&Xb[n]?(DN++,Xb[n]):new Promise(async l=>{var c;let u=[];if(((c=t.face.insightface)==null?void 0:c.enabled)&&(Bs==null?void 0:Bs.inputs[0].shape)){let p={};p.crop=Se.resizeBilinear(e,[Bs.inputs[0].shape[2],Bs.inputs[0].shape[1]],!1),p.data=Bs==null?void 0:Bs.execute(p.crop);let d=await p.data.data();u=Array.from(d),Object.keys(p).forEach(h=>ee(p[h]))}Xb[n]=u,RN=s,_N=ue(),l(u)})}var _a,Ai=0,P5e=2.3,Zb=Ar.leftEyeLower0,Yb=Ar.rightEyeLower0,wd={leftBounds:[Zb[0],Zb[Zb.length-1]],rightBounds:[Yb[0],Yb[Yb.length-1]]},kd={upperCenter:3,lowerCenter:4,index:71,numCoordinates:76};async function zN(e){var t;return pe.initial&&(_a=null),_a?e.debug&&oe("cached model:",_a.modelUrl):_a=await He((t=e.face.iris)==null?void 0:t.modelPath),Ai=_a.inputs[0].shape?_a.inputs[0].shape[2]:0,Ai===-1&&(Ai=64),_a}function Y2(e,t,n,s){for(let r=0;r{let t=e[wd.leftBounds[0]][2],n=e[wd.rightBounds[0]][2];return t-n},FN=(e,t,n,s,r,a=!1)=>{let o=U2(V2(KT([e[n],e[s]]),P5e)),i=Ad(o),l=Se.cropAndResize(t,[[o.startPoint[1]/r,o.startPoint[0]/r,o.endPoint[1]/r,o.endPoint[0]/r]],[0],[Ai,Ai]);if(a&&pe.kernels.includes("flipleftright")){let u=Se.flipLeftRight(l);ee(l),l=u}return{box:o,boxSize:i,crop:l}},ON=(e,t,n,s=!1)=>{let r=[];for(let a=0;a{let s=e[Ar[`${n}EyeUpper0`][kd.upperCenter]][2],r=e[Ar[`${n}EyeLower0`][kd.lowerCenter]][2],a=(s+r)/2;return t.map((o,i)=>{let l=a;return i===2?l=s:i===4&&(l=r),[o[0],o[1],l]})};async function LN(e,t,n,s){if(!_a)return n.debug&&oe("face mesh iris detection requested, but model is not loaded"),e;let{box:r,boxSize:a,crop:o}=FN(e,t,wd.leftBounds[0],wd.leftBounds[1],s,!0),{box:i,boxSize:l,crop:u}=FN(e,t,wd.rightBounds[0],wd.rightBounds[1],s,!0),c=Ct([o,u]);ee(o),ee(u);let p=_a.execute(c);ee(c);let d=await p.data();ee(p);let h=d.slice(0,kd.numCoordinates*3),{rawCoords:f,iris:m}=ON(h,r,a,!0),g=d.slice(kd.numCoordinates*3),{rawCoords:y,iris:x}=ON(g,i,l,!1),A=F5e(e);Math.abs(A)<30?(Y2(e,f,"left",null),Y2(e,y,"right",null)):A<1?Y2(e,f,"left",["EyeUpper0","EyeLower0"]):Y2(e,y,"right",["EyeUpper0","EyeLower0"]);let b=MN(e,m,"left"),w=MN(e,x,"right");return e.concat(b).concat(w)}var O5e=[[61,146],[146,91],[91,181],[181,84],[84,17],[17,314],[314,405],[405,321],[321,375],[375,291],[61,185],[185,40],[40,39],[39,37],[37,0],[0,267],[267,269],[269,270],[270,409],[409,291],[78,95],[95,88],[88,178],[178,87],[87,14],[14,317],[317,402],[402,318],[318,324],[324,308],[78,191],[191,80],[80,81],[81,82],[82,13],[13,312],[312,311],[311,310],[310,415],[415,308]],M5e=[[263,249],[249,390],[390,373],[373,374],[374,380],[380,381],[381,382],[382,362],[263,466],[466,388],[388,387],[387,386],[386,385],[385,384],[384,398],[398,362]],z5e=[[276,283],[283,282],[282,295],[295,285],[300,293],[293,334],[334,296],[296,336]],L5e=[[474,475],[475,476],[476,477],[477,474]],B5e=[[33,7],[7,163],[163,144],[144,145],[145,153],[153,154],[154,155],[155,133],[33,246],[246,161],[161,160],[160,159],[159,158],[158,157],[157,173],[173,133]],W5e=[[46,53],[53,52],[52,65],[65,55],[70,63],[63,105],[105,66],[66,107]],V5e=[[469,470],[470,471],[471,472],[472,469]],U5e=[[10,338],[338,297],[297,332],[332,284],[284,251],[251,389],[389,356],[356,454],[454,323],[323,361],[361,288],[288,397],[397,365],[365,379],[379,378],[378,400],[400,377],[377,152],[152,148],[148,176],[176,149],[149,150],[150,136],[136,172],[172,58],[58,132],[132,93],[93,234],[234,127],[127,162],[162,21],[21,54],[54,103],[103,67],[67,109],[109,10]];function xi(e){let t=e.map(n=>n[0]);return t.push(e[e.length-1][1]),t}var G5e={lips:xi(O5e),leftEye:xi(M5e),leftEyebrow:xi(z5e),leftIris:xi(L5e),rightEye:xi(B5e),rightEyebrow:xi(W5e),rightIris:xi(V5e),faceOval:xi(U5e)},H5e=Object.entries(G5e).map(([e,t])=>t.map(n=>[n,e])).flat(),Gke=new Map(H5e),Zh=[61,146,91,181,84,17,314,405,321,375,291,185,40,39,37,0,267,269,270,409,78,95,88,178,87,14,317,402,318,324,308,191,80,81,82,13,312,311,310,415,76,77,90,180,85,16,315,404,320,307,306,184,74,73,72,11,302,303,304,408,62,96,89,179,86,15,316,403,319,325,292,183,42,41,38,12,268,271,272,407],pu=[33,7,163,144,145,153,154,155,133,246,161,160,159,158,157,173,130,25,110,24,23,22,26,112,243,247,30,29,27,28,56,190,226,31,228,229,230,231,232,233,244,113,225,224,223,222,221,189,35,124,46,53,52,65,143,111,117,118,119,120,121,128,245,156,70,63,105,66,107,55,193],hu=[263,249,390,373,374,380,381,382,362,466,388,387,386,385,384,398,359,255,339,254,253,252,256,341,463,467,260,259,257,258,286,414,446,261,448,449,450,451,452,453,464,342,445,444,443,442,441,413,265,353,276,283,282,295,372,340,346,347,348,349,350,357,465,383,300,293,334,296,336,285,417];async function VN(e,t){let n={lips:await t.filter(a=>a.size===160)[0].data(),irisL:await t.filter(a=>a.size===10)[0].data(),eyeL:await t.filter(a=>a.size===142)[0].data(),irisR:await t.filter(a=>a.size===10)[1].data(),eyeR:await t.filter(a=>a.size===142)[1].data()},s=pu.reduce((a,o)=>a+=e[o][2],0)/pu.length;for(let a=0;aa+=e[o][2],0)/hu.length;for(let a=0;aue()-na.timestamp,s=na.skipped<(((l=t.face.detector)==null?void 0:l.skipFrames)||0);!t.skipAllowed||!n||!s||na.boxes.length===0?(na.boxes=await rN(e,t),na.timestamp=ue(),na.skipped=0):na.skipped++;let r=[],a=[],o=0;for(let A=0;AR.shape[R.shape.length-1]===1).data();if(I.faceScore=Math.round(100*P[0])/100,I.faceScore<(((f=t.face.detector)==null?void 0:f.minConfidence)||1)){if(b.confidence=I.faceScore,(m=t.face.mesh)!=null&&m.keepInvalid){I.box=B2(b,e),I.boxRaw=W2(b,e),I.score=I.boxScore,I.mesh=b.landmarks.map(R=>[(b.startPoint[0]+b.endPoint[0])/2+(b.endPoint[0]+b.startPoint[0])*R[0]/xd(),(b.startPoint[1]+b.endPoint[1])/2+(b.endPoint[1]+b.startPoint[1])*R[1]/xd()]),I.meshRaw=I.mesh.map(R=>[R[0]/(e.shape[2]||1),R[1]/(e.shape[1]||1),(R[2]||0)/fu]);for(let R of Object.keys(lu))I.annotations[R]=[I.mesh[lu[R]]]}}else{let R=E.find(V=>V.shape[V.shape.length-1]===1404),$=G(R,[-1,3]),C=await $.array();ee($),(g=t.face.attention)!=null&&g.enabled?C=await VN(C,E):(y=t.face.iris)!=null&&y.enabled&&(C=await LN(C,I.tensor,t,fu)),I.mesh=JT(C,b,w,S,fu),I.meshRaw=I.mesh.map(V=>[V[0]/(e.shape[2]||0),V[1]/(e.shape[1]||0),(V[2]||0)/fu]);for(let V of Object.keys(Ar))I.annotations[V]=Ar[V].map(q=>I.mesh[q]);I.score=I.faceScore;let F={...eN(I.mesh,b),confidence:b.confidence,landmarks:b.landmarks};I.box=B2(F,e),I.boxRaw=W2(F,e),a.push(F)}ee(E)}else{I.box=B2(b,e),I.boxRaw=W2(b,e),I.score=I.boxScore,I.mesh=b.landmarks.map(E=>[(b.startPoint[0]+b.endPoint[0])/2+(b.endPoint[0]+b.startPoint[0])*E[0]/xd(),(b.startPoint[1]+b.endPoint[1])/2+(b.endPoint[1]+b.startPoint[1])*E[1]/xd()]),I.meshRaw=I.mesh.map(E=>[E[0]/(e.shape[2]||0),E[1]/(e.shape[1]||0),(E[2]||0)/fu]);for(let E of Object.keys(lu))I.annotations[E]=[I.mesh[lu[E]]]}I.score>(((x=t.face.detector)==null?void 0:x.minConfidence)||1)?r.push(I):ee(I.tensor)}return na.boxes=a,r}async function GN(e){var t,n,s,r,a,o;return pe.initial&&(Un=null),((n=(t=e==null?void 0:e.face)==null?void 0:t.attention)==null?void 0:n.enabled)&&(Un==null?void 0:Un.signature)&&Object.keys(((s=Un==null?void 0:Un.signature)==null?void 0:s.outputs)||{}).length<6&&(Un=null),Un?e.debug&&oe("cached model:",Un.modelUrl):(r=e.face.attention)!=null&&r.enabled?Un=await He((a=e.face.attention)==null?void 0:a.modelPath):Un=await He((o=e.face.mesh)==null?void 0:o.modelPath),fu=Un.inputs[0].shape?Un.inputs[0].shape[2]:0,Un}var HN=uu,jN=qh;var Ws,J2=[],qN=0,XN=0,Qb=Number.MAX_SAFE_INTEGER;async function KN(e){var t;return pe.initial&&(Ws=null),Ws?e.debug&&oe("cached model:",Ws.modelUrl):Ws=await He((t=e.face.description)==null?void 0:t.modelPath),Ws}function e4(e){let t=e.image||e.tensor||e;if(!(Ws!=null&&Ws.inputs[0].shape))return t;let n=Se.resizeBilinear(t,[Ws.inputs[0].shape[2],Ws.inputs[0].shape[1]],!1),s=L(n,rt.tf255);return ee(n),s}async function t4(e,t,n,s){var o,i,l,u;if(!Ws)return{age:0,gender:"unknown",genderScore:0,descriptor:[]};let r=Qb<(((o=t.face.description)==null?void 0:o.skipFrames)||0),a=(((i=t.face.description)==null?void 0:i.skipTime)||0)>ue()-qN;return t.skipAllowed&&r&&a&&XN===s&&((l=J2[n])==null?void 0:l.age)&&((u=J2[n])==null?void 0:u.age)>0?(Qb++,J2[n]):(Qb=0,new Promise(async c=>{var d,h;let p={age:0,gender:"unknown",genderScore:0,descriptor:[]};if((d=t.face.description)!=null&&d.enabled){let f=e4(e),m=Ws==null?void 0:Ws.execute(f);qN=ue(),ee(f);let y=await(await m.find(_=>_.shape[1]===1)).data(),x=Math.trunc(200*Math.abs(y[0]-.5))/100;x>(((h=t.face.description)==null?void 0:h.minConfidence)||0)&&(p.gender=y[0]<=.5?"female":"male",p.genderScore=Math.min(.99,x));let A=Rs(m.find(_=>_.shape[1]===100),1),b=(await A.data())[0];ee(A);let S=await m.find(_=>_.shape[1]===100).data();p.age=Math.round(S[b-1]>S[b+1]?10*b-100*S[b-1]:10*b+100*S[b+1])/10;let I=m.find(_=>_.shape[1]===1024),E=I?await 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t=Yh(e),n=Q2(e),r=Math.max(...n)/2,a=[t[0]-r,t[1]-r],o=[t[0]+r,t[1]+r];return{startPoint:a,endPoint:o,palmLandmarks:e.palmLandmarks}}function q5e(e){return e-2*Math.PI*Math.floor((e+Math.PI)/(2*Math.PI))}function eE(e,t){let n=Math.PI/2-Math.atan2(-(t[1]-e[1]),t[0]-e[0]);return q5e(n)}var ZN=(e,t)=>[[1,0,e],[0,1,t],[0,0,1]];function bi(e,t){let n=0;for(let s=0;s[n.x,n.y]),this.anchorsTensor=lr(this.anchors),this.inputSize=this.model&&this.model.inputs&&this.model.inputs[0].shape?this.model.inputs[0].shape[2]:0,this.inputSizeTensor=Ft([this.inputSize,this.inputSize]),this.doubleInputSizeTensor=Ft([this.inputSize*2,this.inputSize*2])}normalizeBoxes(t){let 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s={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&&An[1]&&n.hand.landmarks&&t.score>(n.hand.minConfidence||0)){let r={},a=[t.boxRaw[1],t.boxRaw[0],t.boxRaw[3]+t.boxRaw[1],t.boxRaw[2]+t.boxRaw[0]];r.crop=Se.cropAndResize(e,[a],[0],[Ci[1][0],Ci[1][1]],"bilinear"),r.div=he(r.crop,rt.tf255),[r.score,r.keypoints]=An[1].execute(r.div,["Identity_1","Identity"]);let o=(await r.score.data())[0],i=(100-Math.trunc(100/(1+Math.exp(o))))/100;if(i>=(n.hand.minConfidence||0)){s.fingerScore=i,r.reshaped=G(r.keypoints,[-1,3]);let c=(await r.reshaped.array()).map(p=>[p[0]/Ci[1][1],p[1]/Ci[1][0],p[2]||0]).map(p=>[p[0]*t.boxRaw[2],p[1]*t.boxRaw[3],p[2]||0]);s.keypoints=c.map(p=>[Pa[0]*(p[0]+t.boxRaw[0]),Pa[1]*(p[1]+t.boxRaw[1]),p[2]||0]),s.landmarks=r1(s.keypoints);for(let p of 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d=j2(p.box,vE),h=j2(p.boxRaw,vE);Jt.boxes.push({...u[c],box:d,boxRaw:h})}}for(let c=0;cue()-TE,a=p4<(((i=t.face.liveness)==null?void 0:i.skipFrames)||0);return t.skipAllowed&&r&&a&&CE===s&&c1[n]?(p4++,c1[n]):(p4=0,new Promise(async l=>{let u=Se.resizeBilinear(e,[Gn!=null&&Gn.inputs[0].shape?Gn.inputs[0].shape[2]:0,Gn!=null&&Gn.inputs[0].shape?Gn.inputs[0].shape[1]:0],!1),c=Gn==null?void 0:Gn.execute(u),p=(await c.data())[0];c1[n]=Math.round(100*p)/100,CE=s,TE=ue(),ee([u,c]),l(c1[n])}))}var Jh={};la(Jh,{connected:()=>p1,horizontal:()=>f4,kpt:()=>d1,relative:()=>g4,vertical:()=>m4});var 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t=0;te.shape[1]?Math.trunc((e.shape[2]-e.shape[1])/2):0,e.shape[2]>e.shape[1]?Math.trunc((e.shape[2]-e.shape[1])/2):0],[e.shape[1]>e.shape[2]?Math.trunc((e.shape[1]-e.shape[2])/2):0,e.shape[1]>e.shape[2]?Math.trunc((e.shape[1]-e.shape[2])/2):0],[0,0]],n.pad=Qs(e,Vs.padding),n.resize=Se.resizeBilinear(n.pad,[t,t]);let s=ye(n.resize,"int32");return Object.keys(n).forEach(r=>ee(n[r])),s}function $E(e,t){e.keypoints=e.keypoints.filter(s=>s&&s.position);for(let s of e.keypoints)s.position=[s.position[0]*(t[0]+Vs.padding[2][0]+Vs.padding[2][1])/t[0]-Vs.padding[2][0],s.position[1]*(t[1]+Vs.padding[1][0]+Vs.padding[1][1])/t[1]-Vs.padding[1][0]],s.positionRaw=[s.position[0]/t[0],s.position[1]/t[1]];let n=Ea(e.keypoints.map(s=>s.position),t);return e.box=n.box,e.boxRaw=n.boxRaw,e}var Us,h1=0,A4=Number.MAX_SAFE_INTEGER,Au={boxes:[],bodies:[],last:0};async function PE(e){return pe.initial&&(Us=null),Us?e.debug&&oe("cached model:",Us.modelUrl):(l1(["size"],e),Us=await 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h=[a[3*p+1],a[3*p+0]];i.push({part:d1[p],score:Math.round(100*d)/100,positionRaw:h,position:[Math.round((n.shape[2]||0)*h[0]),Math.round((n.shape[1]||0)*h[1])]})}}let l=Ea(i.map(p=>p.position),[n.shape[2],n.shape[1]]),u={};for(let[p,d]of Object.entries(p1)){let h=[];for(let f=0;fy.part===d[f]),g=i.find(y=>y.part===d[f+1]);m&&g&&m.score>(t.body.minConfidence||0)&&g.score>(t.body.minConfidence||0)&&h.push([m.position,g.position])}u[p]=h}let c={id:r,score:o,box:l.box,boxRaw:l.boxRaw,keypoints:[...i],annotations:u};y4(c),s.push(c)}}return s.sort((r,a)=>a.score-r.score),s.length>t.body.maxDetected&&(s.length=t.body.maxDetected),s}async function x4(e,t){if(!Us||!(Us!=null&&Us.inputs[0].shape))return[];t.skipAllowed||(Au.boxes.length=0),A4++;let n=(t.body.skipTime||0)>ue()-Au.last,s=A4<(t.body.skipFrames||0);return t.skipAllowed&&n&&s?Au.bodies:new Promise(async r=>{let a={};A4=0,a.input=DE(e,h1),a.res=Us==null?void 0:Us.execute(a.input),Au.last=ue();let o=await 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o1={};la(o1,{Models:()=>tf,getModelStats:()=>E4,load:()=>R4,reset:()=>a1,validate:()=>x1,validateModel:()=>_d});var gr,yb=[],t5e=["white","black","asian","indian","other"],n5e=[15,23,28,35.5,45.5,55.5,65],ET=0,RT=0,Ab=Number.MAX_SAFE_INTEGER;async function _T(e){var t;return pe.initial&&(gr=null),gr?e.debug&&oe("cached model:",gr.modelUrl):gr=await He((t=e.face.gear)==null?void 0:t.modelPath),gr}async function xb(e,t,n,s){var o,i;if(!gr)return{age:0,gender:"unknown",genderScore:0,race:[]};let r=Ab<(((o=t.face.gear)==null?void 0:o.skipFrames)||0),a=(((i=t.face.gear)==null?void 0:i.skipTime)||0)>ue()-RT;return t.skipAllowed&&a&&r&&ET===s&&yb[n]?(Ab++,yb[n]):(Ab=0,new Promise(async l=>{var y,x;if(!(gr!=null&&gr.inputs[0].shape))return;let u={},c=[[0,.1,.9,.9]];u.resize=Se.cropAndResize(e,c,[0],[gr.inputs[0].shape[2],gr.inputs[0].shape[1]]);let 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t=e.map(s=>s[0]),n=e.map(s=>s[1]);return[Math.min(...t)+(Math.max(...t)-Math.min(...t))/2,Math.min(...n)+(Math.max(...n)-Math.min(...n))/2]},eN=(e,t)=>{let n=b5e(e),s=Ad(t);return{startPoint:[n[0]-s[0]/2,n[1]-s[1]/2],endPoint:[n[0]+s[0]/2,n[1]+s[1]/2]}};var tN=6,v5e=1.4,ta,nN=null,gi=0,Xh=null,xd=()=>gi;async function sN(e){var t;return pe.initial&&(ta=null),ta?e.debug&&oe("cached model:",ta.modelUrl):ta=await He((t=e.face.detector)==null?void 0:t.modelPath),gi=ta.inputs[0].shape?ta.inputs[0].shape[2]:0,Xh=Ce(gi,"int32"),nN=lr(YT(gi)),ta}function w5e(e){let t={};t.boxStarts=Me(e,[0,1],[-1,2]),t.centers=ce(t.boxStarts,nN),t.boxSizes=Me(e,[0,3],[-1,2]),t.boxSizesNormalized=he(t.boxSizes,Xh),t.centersNormalized=he(t.centers,Xh),t.halfBoxSize=he(t.boxSizesNormalized,rt.tf2),t.starts=fe(t.centersNormalized,t.halfBoxSize),t.ends=ce(t.centersNormalized,t.halfBoxSize),t.startNormalized=L(t.starts,Xh),t.endNormalized=L(t.ends,Xh);let n=Zl([t.startNormalized,t.endNormalized],1);return Object.keys(t).forEach(s=>ee(t[s])),n}async function rN(e,t){var i,l,u,c;if(!e||e.isDisposedInternal||e.shape.length!==4||e.shape[1]<1||e.shape[2]<1)return[];let n={};n.resized=Se.resizeBilinear(e,[gi,gi]),n.div=he(n.resized,rt.tf127),n.normalized=fe(n.div,rt.tf05);let s=ta==null?void 0:ta.execute(n.normalized);if(Array.isArray(s)&&s.length>2){let p=s.sort((d,h)=>d.size-h.size);n.concat384=Ct([p[0],p[2]],2),n.concat512=Ct([p[1],p[3]],2),n.concat=Ct([n.concat512,n.concat384],1),n.batch=st(n.concat,0)}else Array.isArray(s)?n.batch=st(s[0]):n.batch=st(s);ee(s),n.boxes=w5e(n.batch),n.logits=Me(n.batch,[0,0],[-1,1]),n.sigmoid=Cn(n.logits),n.scores=st(n.sigmoid),n.nms=await Se.nonMaxSuppressionAsync(n.boxes,n.scores,((i=t.face.detector)==null?void 0:i.maxDetected)||0,((l=t.face.detector)==null?void 0:l.iouThreshold)||0,((u=t.face.detector)==null?void 0:u.minConfidence)||0);let r=await n.nms.array(),a=[],o=await n.scores.data();for(let p=0;p(((c=t.face.detector)==null?void 0:c.minConfidence)||0)){let h={};h.bbox=Me(n.boxes,[r[p],0],[1,-1]),h.slice=Me(n.batch,[r[p],tN-1],[1,-1]),h.squeeze=st(h.slice),h.landmarks=G(h.squeeze,[tN,-1]);let f=await h.bbox.data(),m={startPoint:[f[0],f[1]],endPoint:[f[2],f[3]],landmarks:await h.landmarks.array(),confidence:d},g=XT(m,[(e.shape[2]||0)/gi,(e.shape[1]||0)/gi]),y=V2(g,t.face.scale||v5e),x=U2(y);a.push(x),Object.keys(h).forEach(A=>ee(h[A]))}}return Object.keys(n).forEach(p=>ee(n[p])),a}var G2={};la(G2,{connected:()=>Pb,kpt:()=>$b});var $b=["nose","leftEyeInside","leftEye","leftEyeOutside","rightEyeInside","rightEye","rightEyeOutside","leftEar","rightEar","leftMouth","rightMouth","leftShoulder","rightShoulder","leftElbow","rightElbow","leftWrist","rightWrist","leftPinky","rightPinky","leftIndex","rightIndex","leftThumb","rightThumb","leftHip","rightHip","leftKnee","rightKnee","leftAnkle","rightAnkle","leftHeel","rightHeel","leftFoot","rightFoot","bodyCenter","bodyTop","leftPalm","leftHand","rightPalm","rightHand"],Pb={shoulders:["leftShoulder","rightShoulder"],hips:["rightHip","leftHip"],mouth:["leftMouth","rightMouth"],leftLegUpper:["leftHip","leftKnee"],leftLegLower:["leftKnee","leftAnkle"],leftFoot:["leftAnkle","leftHeel","leftFoot"],leftTorso:["leftShoulder","leftHip"],leftArmUpper:["leftShoulder","leftElbow"],leftArmLower:["leftElbow","leftWrist"],leftHand:["leftWrist","leftPalm"],leftHandPinky:["leftPalm","leftPinky"],leftHandIndex:["leftPalm","leftIndex"],leftHandThumb:["leftPalm","leftThumb"],leftEyeOutline:["leftEyeInside","leftEyeOutside"],rightLegUpper:["rightHip","rightKnee"],rightLegLower:["rightKnee","rightAnkle"],rightFoot:["rightAnkle","rightHeel","rightFoot"],rightTorso:["rightShoulder","rightHip"],rightArmUpper:["rightShoulder","rightElbow"],rightArmLower:["rightElbow","rightWrist"],rightHand:["rightWrist","rightPalm"],rightHandPinky:["rightPalm","rightPinky"],rightHandIndex:["rightPalm","rightIndex"],rightHandThumb:["rightPalm","rightThumb"],rightEyeOutline:["rightEyeInside","rightEyeOutside"]};var oN=224,k5e,I5e=5,H2=[8,16,32,32,32];async function iN(){let e=[],t=0;for(;tn.x)),y:Ft(e.map(n=>n.y))}}function Ea(e,t=[1,1]){let n=[e.map(i=>i[0]),e.map(i=>i[1])],s=[Math.min(...n[0]),Math.min(...n[1])],r=[Math.max(...n[0]),Math.max(...n[1])],a=[s[0],s[1],r[0]-s[0],r[1]-s[1]],o=[a[0]/t[0],a[1]/t[1],a[2]/t[0],a[3]/t[1]];return{box:a,boxRaw:o}}function lN(e,t=[1,1]){let n=[e.map(u=>u[0]),e.map(u=>u[1])],s=[Math.min(...n[0]),Math.min(...n[1])],r=[Math.max(...n[0]),Math.max(...n[1])],a=[(s[0]+r[0])/2,(s[1]+r[1])/2],o=Math.max(a[0]-s[0],a[1]-s[1],-a[0]+r[0],-a[1]+r[1]),i=[Math.trunc(a[0]-o),Math.trunc(a[1]-o),Math.trunc(2*o),Math.trunc(2*o)],l=[i[0]/t[0],i[1]/t[1],i[2]/t[0],i[3]/t[1]];return{box:i,boxRaw:l}}function j2(e,t){let n=[e[2]*t,e[3]*t];return[e[0]-(n[0]-e[2])/2,e[1]-(n[1]-e[3])/2,n[0],n[1]]}var dN={initial:!0},zs={detector:null,landmarks:null},bd={detector:[224,224],landmarks:[256,256]},Fb=Number.MAX_SAFE_INTEGER,C5e={landmarks:["ld_3d","activation_segmentation","activation_heatmap","world_3d","output_poseflag"],detector:[]},X2=null,Kh,yi=[[0,0],[0,0],[0,0],[0,0]],uN=0,cN=e=>1-1/(1+Math.exp(e));async function pN(e){if(dN.initial&&(zs.detector=null),!zs.detector&&e.body.detector&&e.body.detector.modelPath){zs.detector=await He(e.body.detector.modelPath);let t=Object.values(zs.detector.modelSignature.inputs);bd.detector[0]=Array.isArray(t)?parseInt(t[0].tensorShape.dim[1].size):0,bd.detector[1]=Array.isArray(t)?parseInt(t[0].tensorShape.dim[2].size):0}else e.debug&&zs.detector&&oe("cached model:",zs.detector.modelUrl);return await iN(),zs.detector}async function hN(e){if(dN.initial&&(zs.landmarks=null),zs.landmarks)e.debug&&oe("cached model:",zs.landmarks.modelUrl);else{zs.landmarks=await He(e.body.modelPath);let t=Object.values(zs.landmarks.modelSignature.inputs);bd.landmarks[0]=Array.isArray(t)?parseInt(t[0].tensorShape.dim[1].size):0,bd.landmarks[1]=Array.isArray(t)?parseInt(t[0].tensorShape.dim[2].size):0}return zs.landmarks}async function T5e(e,t){let n={};if(!e.shape||!e.shape[1]||!e.shape[2])return e;let s;if(Kh&&(n.cropped=Se.cropAndResize(e,[Kh],[0],[e.shape[1],e.shape[2]])),e.shape[1]!==e.shape[2]){let r=[e.shape[2]>e.shape[1]?Math.trunc((e.shape[2]-e.shape[1])/2):0,e.shape[2]>e.shape[1]?Math.trunc((e.shape[2]-e.shape[1])/2):0],a=[e.shape[1]>e.shape[2]?Math.trunc((e.shape[1]-e.shape[2])/2):0,e.shape[1]>e.shape[2]?Math.trunc((e.shape[1]-e.shape[2])/2):0];yi=[[0,0],r,a,[0,0]],n.pad=Qs(n.cropped||e,yi),n.resize=Se.resizeBilinear(n.pad,[t,t]),s=he(n.resize,rt.tf255)}else e.shape[1]!==t?(n.resize=Se.resizeBilinear(n.cropped||e,[t,t]),s=he(n.resize,rt.tf255)):s=he(n.cropped||e,rt.tf255);return Object.keys(n).forEach(r=>ee(n[r])),s}function N5e(e,t){for(let n of e)n.position=[Math.trunc(n.position[0]*(t[0]+yi[2][0]+yi[2][1])/t[0]-yi[2][0]),Math.trunc(n.position[1]*(t[1]+yi[1][0]+yi[1][1])/t[1]-yi[1][0]),n.position[2]],n.positionRaw=[n.position[0]/t[0],n.position[1]/t[1],2*n.position[2]/(t[0]+t[1])];if(Kh)for(let n of e)n.positionRaw=[n.positionRaw[0]+Kh[1],n.positionRaw[1]+Kh[0],n.positionRaw[2]],n.position=[Math.trunc(n.positionRaw[0]*t[0]),Math.trunc(n.positionRaw[1]*t[1]),n.positionRaw[2]];return e}async function E5e(e){let t=e.find(i=>i.part==="leftPalm"),n=e.find(i=>i.part==="leftWrist"),s=e.find(i=>i.part==="leftIndex");t.position[2]=((n.position[2]||0)+(s.position[2]||0))/2;let r=e.find(i=>i.part==="rightPalm"),a=e.find(i=>i.part==="rightWrist"),o=e.find(i=>i.part==="rightIndex");r.position[2]=((a.position[2]||0)+(o.position[2]||0))/2}async function R5e(e,t,n){var f;let s={};[s.ld,s.segmentation,s.heatmap,s.world,s.poseflag]=(f=zs.landmarks)==null?void 0:f.execute(e,C5e.landmarks);let r=(await s.poseflag.data())[0],a=await s.ld.data(),o=await s.world.data();Object.keys(s).forEach(m=>ee(s[m]));let i=[],l=5;for(let m=0;mm.position),p=Ea(c,[n[0],n[1]]),d={};for(let[m,g]of Object.entries(Pb)){let y=[];for(let x=0;xw.part===g[x]),b=u.find(w=>w.part===g[x+1]);A&&b&&y.push([A.position,b.position])}d[m]=y}return{id:0,score:Math.trunc(100*r)/100,box:p.box,boxRaw:p.boxRaw,keypoints:u,annotations:d}}async function Ob(e,t){let n=[e.shape[2]||0,e.shape[1]||0],s=(t.body.skipTime||0)>ue()-uN,r=Fb<(t.body.skipFrames||0);if(t.skipAllowed&&s&&r&&X2!==null)Fb++;else{let a={};a.landmarks=await T5e(e,256),X2=await R5e(a.landmarks,t,n),Object.keys(a).forEach(o=>ee(a[o])),uN=ue(),Fb=0}return X2?[X2]:[]}var vd=[{class:1,label:"person"},{class:2,label:"bicycle"},{class:3,label:"car"},{class:4,label:"motorcycle"},{class:5,label:"airplane"},{class:6,label:"bus"},{class:7,label:"train"},{class:8,label:"truck"},{class:9,label:"boat"},{class:10,label:"traffic light"},{class:11,label:"fire hydrant"},{class:12,label:"stop 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drier"},{class:80,label:"toothbrush"}];var Ra,du=0,Mb=[],mN=0,zb=Number.MAX_SAFE_INTEGER;async function gN(e){if(pe.initial&&(Ra=null),Ra)e.debug&&oe("cached model:",Ra.modelUrl);else{Ra=await He(e.object.modelPath);let t=Object.values(Ra.modelSignature.inputs);du=Array.isArray(t)?parseInt(t[0].tensorShape.dim[2].size):0}return Ra}async function _5e(e,t,n){if(!e)return[];let s={},r=[],a=await e.array();s.squeeze=st(e);let o=Zt(s.squeeze,6,1);s.stack=on([o[1],o[0],o[3],o[2]],1),s.boxes=st(s.stack),s.scores=st(o[4]),s.classes=st(o[5]),ee([e,...o]),s.nms=await Se.nonMaxSuppressionAsync(s.boxes,s.scores,n.object.maxDetected,n.object.iouThreshold,n.object.minConfidence||0);let i=await s.nms.data(),l=0;for(let u of Array.from(i)){let c=Math.trunc(100*a[0][u][4])/100,p=a[0][u][5],d=vd[p].label,[h,f]=[a[0][u][0]/du,a[0][u][1]/du],m=[h,f,a[0][u][2]/du-h,a[0][u][3]/du-f],g=[Math.trunc(m[0]*t[0]),Math.trunc(m[1]*t[1]),Math.trunc(m[2]*t[0]),Math.trunc(m[3]*t[1])];r.push({id:l++,score:c,class:p,label:d,box:g,boxRaw:m})}return Object.keys(s).forEach(u=>ee(s[u])),r}async function Lb(e,t){let n=(t.object.skipTime||0)>ue()-mN,s=zb<(t.object.skipFrames||0);return t.skipAllowed&&n&&s&&Mb.length>0?(zb++,Mb):(zb=0,new Promise(async r=>{let a=[e.shape[2]||0,e.shape[1]||0],o=Se.resizeBilinear(e,[du,du]),i=t.object.enabled?Ra==null?void 0:Ra.execute(o,["tower_0/detections"]):null;mN=ue(),ee(o);let l=await _5e(i,a,t);Mb=l,r(l)}))}var K2={};la(K2,{connected:()=>Wb,kpt:()=>Bb});var Bb=["head","neck","rightShoulder","rightElbow","rightWrist","chest","leftShoulder","leftElbow","leftWrist","bodyCenter","rightHip","rightKnee","rightAnkle","leftHip","leftKnee","leftAnkle"],Wb={leftLeg:["leftHip","leftKnee","leftAnkle"],rightLeg:["rightHip","rightKnee","rightAnkle"],torso:["leftShoulder","rightShoulder","rightHip","leftHip","leftShoulder"],leftArm:["leftShoulder","leftElbow","leftWrist"],rightArm:["rightShoulder","rightElbow","rightWrist"],head:[]};var Vn,AN=0,us={id:0,keypoints:[],box:[0,0,0,0],boxRaw:[0,0,0,0],score:0,annotations:{}},Vb=Number.MAX_SAFE_INTEGER;async function xN(e){return pe.initial&&(Vn=null),Vn?e.debug&&oe("cached model:",Vn.modelUrl):Vn=await He(e.body.modelPath),Vn}async function D5e(e,t){let[n,s]=e.shape,r=G(e,[s*n]),a=mn(r,0),o=(await a.data())[0];if(o>t){let i=Rs(r,0),l=Jl(i,n),u=(await l.data())[0],c=he(i,n),p=(await c.data())[0];return ee([r,a,i,l,c]),[u,p,o]}else return ee([r,a]),[0,0,o]}async function Ub(e,t){let n=(t.body.skipTime||0)>ue()-AN,s=Vb<(t.body.skipFrames||0);return t.skipAllowed&&n&&s&&Object.keys(us.keypoints).length>0?(Vb++,[us]):(Vb=0,new Promise(async r=>{var p;let a=Y(()=>{if(!(Vn!=null&&Vn.inputs[0].shape))return null;let d=Se.resizeBilinear(e,[Vn.inputs[0].shape[2],Vn.inputs[0].shape[1]],!1),h=L(d,rt.tf2);return fe(h,rt.tf1)}),o;if(t.body.enabled&&(o=Vn==null?void 0:Vn.execute(a)),AN=ue(),ee(a),o){us.keypoints.length=0;let d=st(o);ee(o);let h=En(d,2);ee(d);for(let f=0;f(((p=t.body)==null?void 0:p.minConfidence)||0)&&us.keypoints.push({score:Math.round(100*y)/100,part:Bb[f],positionRaw:[m/Vn.inputs[0].shape[2],g/Vn.inputs[0].shape[1]],position:[Math.round(e.shape[2]*m/Vn.inputs[0].shape[2]),Math.round(e.shape[1]*g/Vn.inputs[0].shape[1])]})}h.forEach(f=>ee(f))}us.score=us.keypoints.reduce((d,h)=>h.score>d?h.score:d,0);let i=us.keypoints.map(d=>d.position[0]),l=us.keypoints.map(d=>d.position[1]);us.box=[Math.min(...i),Math.min(...l),Math.max(...i)-Math.min(...i),Math.max(...l)-Math.min(...l)];let u=us.keypoints.map(d=>d.positionRaw[0]),c=us.keypoints.map(d=>d.positionRaw[1]);us.boxRaw=[Math.min(...u),Math.min(...c),Math.max(...u)-Math.min(...u),Math.max(...c)-Math.min(...c)];for(let[d,h]of Object.entries(Wb)){let f=[];for(let m=0;mx.part===h[m]),y=us.keypoints.find(x=>x.part===h[m+1]);g&&y&&g.score>(t.body.minConfidence||0)&&y.score>(t.body.minConfidence||0)&&f.push([g.position,y.position])}us.annotations[d]=f}r([us])}))}var $5e=["angry","disgust","fear","happy","sad","surprise","neutral"],tr,Z2=[],vN=0,wN=0,Gb=Number.MAX_SAFE_INTEGER;async function kN(e){var t;return pe.initial&&(tr=null),tr?e.debug&&oe("cached model:",tr.modelUrl):tr=await He((t=e.face.emotion)==null?void 0:t.modelPath),tr}async function Hb(e,t,n,s){var o,i;if(!tr)return[];let r=Gb<(((o=t.face.emotion)==null?void 0:o.skipFrames)||0),a=(((i=t.face.emotion)==null?void 0:i.skipTime)||0)>ue()-wN;return t.skipAllowed&&a&&r&&vN===s&&Z2[n]&&Z2[n].length>0?(Gb++,Z2[n]):(Gb=0,new Promise(async l=>{var c,p;let u=[];if((c=t.face.emotion)!=null&&c.enabled){let d={},h=tr!=null&&tr.inputs[0].shape?tr.inputs[0].shape[2]:0;d.resize=Se.resizeBilinear(e,[h,h],!1),d.channels=L(d.resize,rt.rgb),d.grayscale=ke(d.channels,3,!0),d.grayscaleSub=fe(d.grayscale,rt.tf05),d.grayscaleMul=L(d.grayscaleSub,rt.tf2),d.emotion=tr==null?void 0:tr.execute(d.grayscaleMul),wN=ue();let f=await d.emotion.data();for(let m=0;m(((p=t.face.emotion)==null?void 0:p.minConfidence)||0)&&u.push({score:Math.min(.99,Math.trunc(100*f[m])/100),emotion:$5e[m]});u.sort((m,g)=>g.score-m.score),Object.keys(d).forEach(m=>ee(d[m]))}Z2[n]=u,vN=s,l(u)}))}var Ls,jb=[],SN=0,CN=0,TN=Number.MAX_SAFE_INTEGER;async function NN(e){return pe.initial&&(Ls=null),Ls?e.debug&&oe("cached model:",Ls.modelUrl):Ls=await He(e.face.mobilefacenet.modelPath),Ls}async function qb(e,t,n,s){var o,i;if(!Ls)return[];let r=TN<(((o=t.face.mobilefacenet)==null?void 0:o.skipFrames)||0),a=(((i=t.face.mobilefacenet)==null?void 0:i.skipTime)||0)>ue()-CN;return t.skipAllowed&&a&&r&&SN===s&&jb[n]?(TN++,jb[n]):new Promise(async l=>{var c;let u=[];if(((c=t.face.mobilefacenet)==null?void 0:c.enabled)&&(Ls==null?void 0:Ls.inputs[0].shape)){let p={};p.crop=Se.resizeBilinear(e,[Ls.inputs[0].shape[2],Ls.inputs[0].shape[1]],!1),p.data=Ls==null?void 0:Ls.execute(p.crop);let d=await p.data.data();u=Array.from(d),Object.keys(p).forEach(h=>ee(p[h]))}jb[n]=u,SN=s,CN=ue(),l(u)})}var Bs,Xb=[],RN=0,_N=0,DN=Number.MAX_SAFE_INTEGER;async function $N(e){return pe.initial&&(Bs=null),Bs?e.debug&&oe("cached model:",Bs.modelUrl):Bs=await He(e.face.insightface.modelPath),Bs}async function Kb(e,t,n,s){var o,i;if(!Bs)return[];let r=DN<(((o=t.face.insightface)==null?void 0:o.skipFrames)||0),a=(((i=t.face.insightface)==null?void 0:i.skipTime)||0)>ue()-_N;return t.skipAllowed&&a&&r&&RN===s&&Xb[n]?(DN++,Xb[n]):new Promise(async l=>{var c;let u=[];if(((c=t.face.insightface)==null?void 0:c.enabled)&&(Bs==null?void 0:Bs.inputs[0].shape)){let p={};p.crop=Se.resizeBilinear(e,[Bs.inputs[0].shape[2],Bs.inputs[0].shape[1]],!1),p.data=Bs==null?void 0:Bs.execute(p.crop);let d=await p.data.data();u=Array.from(d),Object.keys(p).forEach(h=>ee(p[h]))}Xb[n]=u,RN=s,_N=ue(),l(u)})}var _a,Ai=0,P5e=2.3,Zb=Ar.leftEyeLower0,Yb=Ar.rightEyeLower0,wd={leftBounds:[Zb[0],Zb[Zb.length-1]],rightBounds:[Yb[0],Yb[Yb.length-1]]},kd={upperCenter:3,lowerCenter:4,index:71,numCoordinates:76};async function zN(e){var t;return pe.initial&&(_a=null),_a?e.debug&&oe("cached model:",_a.modelUrl):_a=await He((t=e.face.iris)==null?void 0:t.modelPath),Ai=_a.inputs[0].shape?_a.inputs[0].shape[2]:0,Ai===-1&&(Ai=64),_a}function Y2(e,t,n,s){for(let r=0;r{let t=e[wd.leftBounds[0]][2],n=e[wd.rightBounds[0]][2];return t-n},FN=(e,t,n,s,r,a=!1)=>{let o=U2(V2(KT([e[n],e[s]]),P5e)),i=Ad(o),l=Se.cropAndResize(t,[[o.startPoint[1]/r,o.startPoint[0]/r,o.endPoint[1]/r,o.endPoint[0]/r]],[0],[Ai,Ai]);if(a&&pe.kernels.includes("flipleftright")){let u=Se.flipLeftRight(l);ee(l),l=u}return{box:o,boxSize:i,crop:l}},ON=(e,t,n,s=!1)=>{let r=[];for(let a=0;a{let s=e[Ar[`${n}EyeUpper0`][kd.upperCenter]][2],r=e[Ar[`${n}EyeLower0`][kd.lowerCenter]][2],a=(s+r)/2;return t.map((o,i)=>{let l=a;return i===2?l=s:i===4&&(l=r),[o[0],o[1],l]})};async function LN(e,t,n,s){if(!_a)return n.debug&&oe("face mesh iris detection requested, but model is not loaded"),e;let{box:r,boxSize:a,crop:o}=FN(e,t,wd.leftBounds[0],wd.leftBounds[1],s,!0),{box:i,boxSize:l,crop:u}=FN(e,t,wd.rightBounds[0],wd.rightBounds[1],s,!0),c=Ct([o,u]);ee(o),ee(u);let p=_a.execute(c);ee(c);let d=await p.data();ee(p);let h=d.slice(0,kd.numCoordinates*3),{rawCoords:f,iris:m}=ON(h,r,a,!0),g=d.slice(kd.numCoordinates*3),{rawCoords:y,iris:x}=ON(g,i,l,!1),A=F5e(e);Math.abs(A)<30?(Y2(e,f,"left",null),Y2(e,y,"right",null)):A<1?Y2(e,f,"left",["EyeUpper0","EyeLower0"]):Y2(e,y,"right",["EyeUpper0","EyeLower0"]);let b=MN(e,m,"left"),w=MN(e,x,"right");return e.concat(b).concat(w)}var O5e=[[61,146],[146,91],[91,181],[181,84],[84,17],[17,314],[314,405],[405,321],[321,375],[375,291],[61,185],[185,40],[40,39],[39,37],[37,0],[0,267],[267,269],[269,270],[270,409],[409,291],[78,95],[95,88],[88,178],[178,87],[87,14],[14,317],[317,402],[402,318],[318,324],[324,308],[78,191],[191,80],[80,81],[81,82],[82,13],[13,312],[312,311],[311,310],[310,415],[415,308]],M5e=[[263,249],[249,390],[390,373],[373,374],[374,380],[380,381],[381,382],[382,362],[263,466],[466,388],[388,387],[387,386],[386,385],[385,384],[384,398],[398,362]],z5e=[[276,283],[283,282],[282,295],[295,285],[300,293],[293,334],[334,296],[296,336]],L5e=[[474,475],[475,476],[476,477],[477,474]],B5e=[[33,7],[7,163],[163,144],[144,145],[145,153],[153,154],[154,155],[155,133],[33,246],[246,161],[161,160],[160,159],[159,158],[158,157],[157,173],[173,133]],W5e=[[46,53],[53,52],[52,65],[65,55],[70,63],[63,105],[105,66],[66,107]],V5e=[[469,470],[470,471],[471,472],[472,469]],U5e=[[10,338],[338,297],[297,332],[332,284],[284,251],[251,389],[389,356],[356,454],[454,323],[323,361],[361,288],[288,397],[397,365],[365,379],[379,378],[378,400],[400,377],[377,152],[152,148],[148,176],[176,149],[149,150],[150,136],[136,172],[172,58],[58,132],[132,93],[93,234],[234,127],[127,162],[162,21],[21,54],[54,103],[103,67],[67,109],[109,10]];function xi(e){let t=e.map(n=>n[0]);return t.push(e[e.length-1][1]),t}var G5e={lips:xi(O5e),leftEye:xi(M5e),leftEyebrow:xi(z5e),leftIris:xi(L5e),rightEye:xi(B5e),rightEyebrow:xi(W5e),rightIris:xi(V5e),faceOval:xi(U5e)},H5e=Object.entries(G5e).map(([e,t])=>t.map(n=>[n,e])).flat(),Gke=new Map(H5e),Zh=[61,146,91,181,84,17,314,405,321,375,291,185,40,39,37,0,267,269,270,409,78,95,88,178,87,14,317,402,318,324,308,191,80,81,82,13,312,311,310,415,76,77,90,180,85,16,315,404,320,307,306,184,74,73,72,11,302,303,304,408,62,96,89,179,86,15,316,403,319,325,292,183,42,41,38,12,268,271,272,407],pu=[33,7,163,144,145,153,154,155,133,246,161,160,159,158,157,173,130,25,110,24,23,22,26,112,243,247,30,29,27,28,56,190,226,31,228,229,230,231,232,233,244,113,225,224,223,222,221,189,35,124,46,53,52,65,143,111,117,118,119,120,121,128,245,156,70,63,105,66,107,55,193],hu=[263,249,390,373,374,380,381,382,362,466,388,387,386,385,384,398,359,255,339,254,253,252,256,341,463,467,260,259,257,258,286,414,446,261,448,449,450,451,452,453,464,342,445,444,443,442,441,413,265,353,276,283,282,295,372,340,346,347,348,349,350,357,465,383,300,293,334,296,336,285,417];async function VN(e,t){let n={lips:await t.filter(a=>a.size===160)[0].data(),irisL:await t.filter(a=>a.size===10)[0].data(),eyeL:await t.filter(a=>a.size===142)[0].data(),irisR:await t.filter(a=>a.size===10)[1].data(),eyeR:await t.filter(a=>a.size===142)[1].data()},s=pu.reduce((a,o)=>a+=e[o][2],0)/pu.length;for(let a=0;aa+=e[o][2],0)/hu.length;for(let a=0;aue()-na.timestamp,s=na.skipped<(((l=t.face.detector)==null?void 0:l.skipFrames)||0);!t.skipAllowed||!n||!s||na.boxes.length===0?(na.boxes=await rN(e,t),na.timestamp=ue(),na.skipped=0):na.skipped++;let r=[],a=[],o=0;for(let A=0;AR.shape[R.shape.length-1]===1).data();if(I.faceScore=Math.round(100*P[0])/100,I.faceScore<(((f=t.face.detector)==null?void 0:f.minConfidence)||1)){if(b.confidence=I.faceScore,(m=t.face.mesh)!=null&&m.keepInvalid){I.box=B2(b,e),I.boxRaw=W2(b,e),I.score=I.boxScore,I.mesh=b.landmarks.map(R=>[(b.startPoint[0]+b.endPoint[0])/2+(b.endPoint[0]+b.startPoint[0])*R[0]/xd(),(b.startPoint[1]+b.endPoint[1])/2+(b.endPoint[1]+b.startPoint[1])*R[1]/xd()]),I.meshRaw=I.mesh.map(R=>[R[0]/(e.shape[2]||1),R[1]/(e.shape[1]||1),(R[2]||0)/fu]);for(let R of Object.keys(lu))I.annotations[R]=[I.mesh[lu[R]]]}}else{let R=E.find(V=>V.shape[V.shape.length-1]===1404),$=G(R,[-1,3]),C=await $.array();ee($),(g=t.face.attention)!=null&&g.enabled?C=await VN(C,E):(y=t.face.iris)!=null&&y.enabled&&(C=await LN(C,I.tensor,t,fu)),I.mesh=JT(C,b,w,S,fu),I.meshRaw=I.mesh.map(V=>[V[0]/(e.shape[2]||0),V[1]/(e.shape[1]||0),(V[2]||0)/fu]);for(let V of Object.keys(Ar))I.annotations[V]=Ar[V].map(q=>I.mesh[q]);I.score=I.faceScore;let F={...eN(I.mesh,b),confidence:b.confidence,landmarks:b.landmarks};I.box=B2(F,e),I.boxRaw=W2(F,e),a.push(F)}ee(E)}else{I.box=B2(b,e),I.boxRaw=W2(b,e),I.score=I.boxScore,I.mesh=b.landmarks.map(E=>[(b.startPoint[0]+b.endPoint[0])/2+(b.endPoint[0]+b.startPoint[0])*E[0]/xd(),(b.startPoint[1]+b.endPoint[1])/2+(b.endPoint[1]+b.startPoint[1])*E[1]/xd()]),I.meshRaw=I.mesh.map(E=>[E[0]/(e.shape[2]||0),E[1]/(e.shape[1]||0),(E[2]||0)/fu]);for(let E of Object.keys(lu))I.annotations[E]=[I.mesh[lu[E]]]}I.score>(((x=t.face.detector)==null?void 0:x.minConfidence)||1)?r.push(I):ee(I.tensor)}return na.boxes=a,r}async function GN(e){var t,n,s,r,a,o;return pe.initial&&(Un=null),((n=(t=e==null?void 0:e.face)==null?void 0:t.attention)==null?void 0:n.enabled)&&(Un==null?void 0:Un.signature)&&Object.keys(((s=Un==null?void 0:Un.signature)==null?void 0:s.outputs)||{}).length<6&&(Un=null),Un?e.debug&&oe("cached model:",Un.modelUrl):(r=e.face.attention)!=null&&r.enabled?Un=await He((a=e.face.attention)==null?void 0:a.modelPath):Un=await He((o=e.face.mesh)==null?void 0:o.modelPath),fu=Un.inputs[0].shape?Un.inputs[0].shape[2]:0,Un}var HN=uu,jN=qh;var Ws,J2=[],qN=0,XN=0,Qb=Number.MAX_SAFE_INTEGER;async function KN(e){var t;return pe.initial&&(Ws=null),Ws?e.debug&&oe("cached model:",Ws.modelUrl):Ws=await He((t=e.face.description)==null?void 0:t.modelPath),Ws}function e4(e){let t=e.image||e.tensor||e;if(!(Ws!=null&&Ws.inputs[0].shape))return t;let n=Se.resizeBilinear(t,[Ws.inputs[0].shape[2],Ws.inputs[0].shape[1]],!1),s=L(n,rt.tf255);return ee(n),s}async function t4(e,t,n,s){var o,i,l,u;if(!Ws)return{age:0,gender:"unknown",genderScore:0,descriptor:[]};let r=Qb<(((o=t.face.description)==null?void 0:o.skipFrames)||0),a=(((i=t.face.description)==null?void 0:i.skipTime)||0)>ue()-qN;return t.skipAllowed&&r&&a&&XN===s&&((l=J2[n])==null?void 0:l.age)&&((u=J2[n])==null?void 0:u.age)>0?(Qb++,J2[n]):(Qb=0,new Promise(async c=>{var d,h;let p={age:0,gender:"unknown",genderScore:0,descriptor:[]};if((d=t.face.description)!=null&&d.enabled){let f=e4(e),m=Ws==null?void 0:Ws.execute(f);qN=ue(),ee(f);let y=await(await m.find(_=>_.shape[1]===1)).data(),x=Math.trunc(200*Math.abs(y[0]-.5))/100;x>(((h=t.face.description)==null?void 0:h.minConfidence)||0)&&(p.gender=y[0]<=.5?"female":"male",p.genderScore=Math.min(.99,x));let A=Rs(m.find(_=>_.shape[1]===100),1),b=(await A.data())[0];ee(A);let S=await m.find(_=>_.shape[1]===100).data();p.age=Math.round(S[b-1]>S[b+1]?10*b-100*S[b-1]:10*b+100*S[b+1])/10;let I=m.find(_=>_.shape[1]===1024),E=I?await 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t=Yh(e),n=Q2(e),r=Math.max(...n)/2,a=[t[0]-r,t[1]-r],o=[t[0]+r,t[1]+r];return{startPoint:a,endPoint:o,palmLandmarks:e.palmLandmarks}}function q5e(e){return e-2*Math.PI*Math.floor((e+Math.PI)/(2*Math.PI))}function eE(e,t){let n=Math.PI/2-Math.atan2(-(t[1]-e[1]),t[0]-e[0]);return q5e(n)}var ZN=(e,t)=>[[1,0,e],[0,1,t],[0,0,1]];function bi(e,t){let n=0;for(let s=0;s[n.x,n.y]),this.anchorsTensor=lr(this.anchors),this.inputSize=this.model&&this.model.inputs&&this.model.inputs[0].shape?this.model.inputs[0].shape[2]:0,this.inputSizeTensor=Ft([this.inputSize,this.inputSize]),this.doubleInputSizeTensor=Ft([this.inputSize*2,this.inputSize*2])}normalizeBoxes(t){let 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s={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&&An[1]&&n.hand.landmarks&&t.score>(n.hand.minConfidence||0)){let r={},a=[t.boxRaw[1],t.boxRaw[0],t.boxRaw[3]+t.boxRaw[1],t.boxRaw[2]+t.boxRaw[0]];r.crop=Se.cropAndResize(e,[a],[0],[Ci[1][0],Ci[1][1]],"bilinear"),r.div=he(r.crop,rt.tf255),[r.score,r.keypoints]=An[1].execute(r.div,["Identity_1","Identity"]);let o=(await r.score.data())[0],i=(100-Math.trunc(100/(1+Math.exp(o))))/100;if(i>=(n.hand.minConfidence||0)){s.fingerScore=i,r.reshaped=G(r.keypoints,[-1,3]);let c=(await r.reshaped.array()).map(p=>[p[0]/Ci[1][1],p[1]/Ci[1][0],p[2]||0]).map(p=>[p[0]*t.boxRaw[2],p[1]*t.boxRaw[3],p[2]||0]);s.keypoints=c.map(p=>[Pa[0]*(p[0]+t.boxRaw[0]),Pa[1]*(p[1]+t.boxRaw[1]),p[2]||0]),s.landmarks=r1(s.keypoints);for(let p of 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d=j2(p.box,vE),h=j2(p.boxRaw,vE);Jt.boxes.push({...u[c],box:d,boxRaw:h})}}for(let c=0;cue()-TE,a=p4<(((i=t.face.liveness)==null?void 0:i.skipFrames)||0);return t.skipAllowed&&r&&a&&CE===s&&c1[n]?(p4++,c1[n]):(p4=0,new Promise(async l=>{let u=Se.resizeBilinear(e,[Gn!=null&&Gn.inputs[0].shape?Gn.inputs[0].shape[2]:0,Gn!=null&&Gn.inputs[0].shape?Gn.inputs[0].shape[1]:0],!1),c=Gn==null?void 0:Gn.execute(u),p=(await c.data())[0];c1[n]=Math.round(100*p)/100,CE=s,TE=ue(),ee([u,c]),l(c1[n])}))}var Jh={};la(Jh,{connected:()=>p1,horizontal:()=>f4,kpt:()=>d1,relative:()=>g4,vertical:()=>m4});var 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t=0;te.shape[1]?Math.trunc((e.shape[2]-e.shape[1])/2):0,e.shape[2]>e.shape[1]?Math.trunc((e.shape[2]-e.shape[1])/2):0],[e.shape[1]>e.shape[2]?Math.trunc((e.shape[1]-e.shape[2])/2):0,e.shape[1]>e.shape[2]?Math.trunc((e.shape[1]-e.shape[2])/2):0],[0,0]],n.pad=Qs(e,Vs.padding),n.resize=Se.resizeBilinear(n.pad,[t,t]);let s=ye(n.resize,"int32");return Object.keys(n).forEach(r=>ee(n[r])),s}function $E(e,t){e.keypoints=e.keypoints.filter(s=>s&&s.position);for(let s of e.keypoints)s.position=[s.position[0]*(t[0]+Vs.padding[2][0]+Vs.padding[2][1])/t[0]-Vs.padding[2][0],s.position[1]*(t[1]+Vs.padding[1][0]+Vs.padding[1][1])/t[1]-Vs.padding[1][0]],s.positionRaw=[s.position[0]/t[0],s.position[1]/t[1]];let n=Ea(e.keypoints.map(s=>s.position),t);return e.box=n.box,e.boxRaw=n.boxRaw,e}var Us,h1=0,A4=Number.MAX_SAFE_INTEGER,Au={boxes:[],bodies:[],last:0};async function PE(e){return pe.initial&&(Us=null),Us?e.debug&&oe("cached model:",Us.modelUrl):(l1(["size"],e),Us=await 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h=[a[3*p+1],a[3*p+0]];i.push({part:d1[p],score:Math.round(100*d)/100,positionRaw:h,position:[Math.round((n.shape[2]||0)*h[0]),Math.round((n.shape[1]||0)*h[1])]})}}let l=Ea(i.map(p=>p.position),[n.shape[2],n.shape[1]]),u={};for(let[p,d]of Object.entries(p1)){let h=[];for(let f=0;fy.part===d[f]),g=i.find(y=>y.part===d[f+1]);m&&g&&m.score>(t.body.minConfidence||0)&&g.score>(t.body.minConfidence||0)&&h.push([m.position,g.position])}u[p]=h}let c={id:r,score:o,box:l.box,boxRaw:l.boxRaw,keypoints:[...i],annotations:u};y4(c),s.push(c)}}return s.sort((r,a)=>a.score-r.score),s.length>t.body.maxDetected&&(s.length=t.body.maxDetected),s}async function x4(e,t){if(!Us||!(Us!=null&&Us.inputs[0].shape))return[];t.skipAllowed||(Au.boxes.length=0),A4++;let n=(t.body.skipTime||0)>ue()-Au.last,s=A4<(t.body.skipFrames||0);return t.skipAllowed&&n&&s?Au.bodies:new Promise(async r=>{let a={};A4=0,a.input=DE(e,h1),a.res=Us==null?void 0:Us.execute(a.input),Au.last=ue();let o=await 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hA=[[61,146],[146,91],[91,181],[181,84],[84,17],[17,314],[314,405],[405,321],[321,375],[375,291],[61,185],[185,40],[40,39],[39,37],[37,0],[0,267],[267,269],[269,270],[270,409],[409,291],[78,95],[95,88],[88,178],[178,87],[87,14],[14,317],[317,402],[402,318],[318,324],[324,308],[78,191],[191,80],[80,81],[81,82],[82,13],[13,312],[312,311],[311,310],[310,415],[415,308]],bA=[[263,249],[249,390],[390,373],[373,374],[374,380],[380,381],[381,382],[382,362],[263,466],[466,388],[388,387],[387,386],[386,385],[385,384],[384,398],[398,362]],gA=[[276,283],[283,282],[282,295],[295,285],[300,293],[293,334],[334,296],[296,336]],MA=[[474,475],[475,476],[476,477],[477,474]],PA=[[33,7],[7,163],[163,144],[144,145],[145,153],[153,154],[154,155],[155,133],[33,246],[246,161],[161,160],[160,159],[159,158],[158,157],[157,173],[173,133]],vA=[[46,53],[53,52],[52,65],[65,55],[70,63],[63,105],[105,66],[66,107]],RA=[[469,470],[470,471],[471,472],[472,469]],TA=[[10,338],[338,297],[297,332],[332,284],[284,251],[251,389],[389,356],[356,454],[454,323],[323,361],[361,288],[288,397],[397,365],[365,379],[379,378],[378,400],[400,377],[377,152],[152,148],[148,176],[176,149],[149,150],[150,136],[136,172],[172,58],[58,132],[132,93],[93,234],[234,127],[127,162],[162,21],[21,54],[54,103],[103,67],[67,109],[109,10]];function 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t.filter(A=>A.size===142)[0].data(),irisR:await t.filter(A=>A.size===10)[1].data(),eyeR:await t.filter(A=>A.size===142)[1].data()},n=Be.reduce((A,s)=>A+=e[s][2],0)/Be.length;for(let A=0;AA+=e[s][2],0)/He.length;for(let A=0;Ab()-se.timestamp,n=se.skipped<(((l=t.face.detector)==null?void 0:l.skipFrames)||0);!t.skipAllowed||!o||!n||se.boxes.length===0?(se.boxes=await l3(e,t),se.timestamp=b(),se.skipped=0):se.skipped++;let r=[],A=[],s=0;for(let f=0;fG.shape[G.shape.length-1]===1).data();if(w.faceScore=Math.round(100*X[0])/100,w.faceScore<(((h=t.face.detector)==null?void 0:h.minConfidence)||1)){if(u.confidence=w.faceScore,(m=t.face.mesh)!=null&&m.keepInvalid){w.box=U2(u,e),w.boxRaw=Y2(u,e),w.score=w.boxScore,w.mesh=u.landmarks.map(G=>[(u.startPoint[0]+u.endPoint[0])/2+(u.endPoint[0]+u.startPoint[0])*G[0]/$e(),(u.startPoint[1]+u.endPoint[1])/2+(u.endPoint[1]+u.startPoint[1])*G[1]/$e()]),w.meshRaw=w.mesh.map(G=>[G[0]/(e.shape[2]||1),G[1]/(e.shape[1]||1),(G[2]||0)/Ve]);for(let G of Object.keys(Le))w.annotations[G]=[w.mesh[Le[G]]]}}else{let G=E.find(y0=>y0.shape[y0.shape.length-1]===1404),o0=ke.reshape(G,[-1,3]),_=await o0.array();ke.dispose(o0),(P=t.face.attention)!=null&&P.enabled?_=await U3(_,E):(M=t.face.iris)!=null&&M.enabled&&(_=await Z3(_,w.tensor,t,Ve)),w.mesh=n3(_,u,S,N,Ve),w.meshRaw=w.mesh.map(y0=>[y0[0]/(e.shape[2]||0),y0[1]/(e.shape[1]||0),(y0[2]||0)/Ve]);for(let y0 of Object.keys(Y0))w.annotations[y0]=Y0[y0].map(V0=>w.mesh[V0]);w.score=w.faceScore;let z={...A3(w.mesh,u),confidence:u.confidence,landmarks:u.landmarks};w.box=U2(z,e),w.boxRaw=Y2(z,e),A.push(z)}ke.dispose(E)}else{w.box=U2(u,e),w.boxRaw=Y2(u,e),w.score=w.boxScore,w.mesh=u.landmarks.map(E=>[(u.startPoint[0]+u.endPoint[0])/2+(u.endPoint[0]+u.startPoint[0])*E[0]/$e(),(u.startPoint[1]+u.endPoint[1])/2+(u.endPoint[1]+u.startPoint[1])*E[1]/$e()]),w.meshRaw=w.mesh.map(E=>[E[0]/(e.shape[2]||0),E[1]/(e.shape[1]||0),(E[2]||0)/Ve]);for(let E of Object.keys(Le))w.annotations[E]=[w.mesh[Le[E]]]}w.score>(((g=t.face.detector)==null?void 0:g.minConfidence)||1)?r.push(w):ke.dispose(w.tensor)}return se.boxes=A,r}async function K3(e){var t,o,n,r,A,s;return R.initial&&(M0=null),((o=(t=e==null?void 0:e.face)==null?void 0:t.attention)==null?void 0:o.enabled)&&(M0==null?void 0:M0.signature)&&Object.keys(((n=M0==null?void 0:M0.signature)==null?void 0:n.outputs)||{}).length<6&&(M0=null),M0?e.debug&&p("cached model:",M0.modelUrl):(r=e.face.attention)!=null&&r.enabled?M0=await W((A=e.face.attention)==null?void 0:A.modelPath):M0=await W((s=e.face.mesh)==null?void 0:s.modelPath),Ve=M0.inputs[0].shape?M0.inputs[0].shape[2]:0,M0}var J3=We,Q3=w2;var _0=Z(D());var W0,a5=[],_3=0,$3=0,v1=Number.MAX_SAFE_INTEGER;async function eo(e){var t;return R.initial&&(W0=null),W0?e.debug&&p("cached model:",W0.modelUrl):W0=await W((t=e.face.description)==null?void 0:t.modelPath),W0}function R1(e){let 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t=0;te.shape[1]?Math.trunc((e.shape[2]-e.shape[1])/2):0,e.shape[2]>e.shape[1]?Math.trunc((e.shape[2]-e.shape[1])/2):0],[e.shape[1]>e.shape[2]?Math.trunc((e.shape[1]-e.shape[2])/2):0,e.shape[1]>e.shape[2]?Math.trunc((e.shape[1]-e.shape[2])/2):0],[0,0]],o.pad=Ne.pad(e,G0.padding),o.resize=Ne.image.resizeBilinear(o.pad,[t,t]);let n=Ne.cast(o.resize,"int32");return Object.keys(o).forEach(r=>Ne.dispose(o[r])),n}function Bo(e,t){e.keypoints=e.keypoints.filter(n=>n&&n.position);for(let n of e.keypoints)n.position=[n.position[0]*(t[0]+G0.padding[2][0]+G0.padding[2][1])/t[0]-G0.padding[2][0],n.position[1]*(t[1]+G0.padding[1][0]+G0.padding[1][1])/t[1]-G0.padding[1][0]],n.positionRaw=[n.position[0]/t[0],n.position[1]/t[1]];let o=ce(e.keypoints.map(n=>n.position),t);return e.box=o.box,e.boxRaw=o.boxRaw,e}var B0,v5=0,V1=Number.MAX_SAFE_INTEGER,qe={boxes:[],bodies:[],last:0};async function Vo(e){return R.initial&&(B0=null),B0?e.debug&&p("cached model:",B0.modelUrl):(u5(["size"],e),B0=await 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hA=[[61,146],[146,91],[91,181],[181,84],[84,17],[17,314],[314,405],[405,321],[321,375],[375,291],[61,185],[185,40],[40,39],[39,37],[37,0],[0,267],[267,269],[269,270],[270,409],[409,291],[78,95],[95,88],[88,178],[178,87],[87,14],[14,317],[317,402],[402,318],[318,324],[324,308],[78,191],[191,80],[80,81],[81,82],[82,13],[13,312],[312,311],[311,310],[310,415],[415,308]],bA=[[263,249],[249,390],[390,373],[373,374],[374,380],[380,381],[381,382],[382,362],[263,466],[466,388],[388,387],[387,386],[386,385],[385,384],[384,398],[398,362]],gA=[[276,283],[283,282],[282,295],[295,285],[300,293],[293,334],[334,296],[296,336]],MA=[[474,475],[475,476],[476,477],[477,474]],PA=[[33,7],[7,163],[163,144],[144,145],[145,153],[153,154],[154,155],[155,133],[33,246],[246,161],[161,160],[160,159],[159,158],[158,157],[157,173],[173,133]],vA=[[46,53],[53,52],[52,65],[65,55],[70,63],[63,105],[105,66],[66,107]],RA=[[469,470],[470,471],[471,472],[472,469]],TA=[[10,338],[338,297],[297,332],[332,284],[284,251],[251,389],[389,356],[356,454],[454,323],[323,361],[361,288],[288,397],[397,365],[365,379],[379,378],[378,400],[400,377],[377,152],[152,148],[148,176],[176,149],[149,150],[150,136],[136,172],[172,58],[58,132],[132,93],[93,234],[234,127],[127,162],[162,21],[21,54],[54,103],[103,67],[67,109],[109,10]];function 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t.filter(A=>A.size===142)[0].data(),irisR:await t.filter(A=>A.size===10)[1].data(),eyeR:await t.filter(A=>A.size===142)[1].data()},n=Be.reduce((A,s)=>A+=e[s][2],0)/Be.length;for(let A=0;AA+=e[s][2],0)/He.length;for(let A=0;Ab()-se.timestamp,n=se.skipped<(((l=t.face.detector)==null?void 0:l.skipFrames)||0);!t.skipAllowed||!o||!n||se.boxes.length===0?(se.boxes=await l3(e,t),se.timestamp=b(),se.skipped=0):se.skipped++;let r=[],A=[],s=0;for(let f=0;fG.shape[G.shape.length-1]===1).data();if(w.faceScore=Math.round(100*X[0])/100,w.faceScore<(((h=t.face.detector)==null?void 0:h.minConfidence)||1)){if(u.confidence=w.faceScore,(m=t.face.mesh)!=null&&m.keepInvalid){w.box=U2(u,e),w.boxRaw=Y2(u,e),w.score=w.boxScore,w.mesh=u.landmarks.map(G=>[(u.startPoint[0]+u.endPoint[0])/2+(u.endPoint[0]+u.startPoint[0])*G[0]/$e(),(u.startPoint[1]+u.endPoint[1])/2+(u.endPoint[1]+u.startPoint[1])*G[1]/$e()]),w.meshRaw=w.mesh.map(G=>[G[0]/(e.shape[2]||1),G[1]/(e.shape[1]||1),(G[2]||0)/Ve]);for(let G of Object.keys(Le))w.annotations[G]=[w.mesh[Le[G]]]}}else{let G=E.find(y0=>y0.shape[y0.shape.length-1]===1404),o0=ke.reshape(G,[-1,3]),_=await o0.array();ke.dispose(o0),(P=t.face.attention)!=null&&P.enabled?_=await U3(_,E):(M=t.face.iris)!=null&&M.enabled&&(_=await Z3(_,w.tensor,t,Ve)),w.mesh=n3(_,u,S,N,Ve),w.meshRaw=w.mesh.map(y0=>[y0[0]/(e.shape[2]||0),y0[1]/(e.shape[1]||0),(y0[2]||0)/Ve]);for(let y0 of Object.keys(Y0))w.annotations[y0]=Y0[y0].map(V0=>w.mesh[V0]);w.score=w.faceScore;let z={...A3(w.mesh,u),confidence:u.confidence,landmarks:u.landmarks};w.box=U2(z,e),w.boxRaw=Y2(z,e),A.push(z)}ke.dispose(E)}else{w.box=U2(u,e),w.boxRaw=Y2(u,e),w.score=w.boxScore,w.mesh=u.landmarks.map(E=>[(u.startPoint[0]+u.endPoint[0])/2+(u.endPoint[0]+u.startPoint[0])*E[0]/$e(),(u.startPoint[1]+u.endPoint[1])/2+(u.endPoint[1]+u.startPoint[1])*E[1]/$e()]),w.meshRaw=w.mesh.map(E=>[E[0]/(e.shape[2]||0),E[1]/(e.shape[1]||0),(E[2]||0)/Ve]);for(let E of Object.keys(Le))w.annotations[E]=[w.mesh[Le[E]]]}w.score>(((g=t.face.detector)==null?void 0:g.minConfidence)||1)?r.push(w):ke.dispose(w.tensor)}return se.boxes=A,r}async function K3(e){var t,o,n,r,A,s;return R.initial&&(M0=null),((o=(t=e==null?void 0:e.face)==null?void 0:t.attention)==null?void 0:o.enabled)&&(M0==null?void 0:M0.signature)&&Object.keys(((n=M0==null?void 0:M0.signature)==null?void 0:n.outputs)||{}).length<6&&(M0=null),M0?e.debug&&p("cached model:",M0.modelUrl):(r=e.face.attention)!=null&&r.enabled?M0=await W((A=e.face.attention)==null?void 0:A.modelPath):M0=await W((s=e.face.mesh)==null?void 0:s.modelPath),Ve=M0.inputs[0].shape?M0.inputs[0].shape[2]:0,M0}var J3=We,Q3=w2;var _0=Z(D());var W0,a5=[],_3=0,$3=0,v1=Number.MAX_SAFE_INTEGER;async function eo(e){var t;return R.initial&&(W0=null),W0?e.debug&&p("cached model:",W0.modelUrl):W0=await W((t=e.face.description)==null?void 0:t.modelPath),W0}function R1(e){let 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t=0;te.shape[1]?Math.trunc((e.shape[2]-e.shape[1])/2):0,e.shape[2]>e.shape[1]?Math.trunc((e.shape[2]-e.shape[1])/2):0],[e.shape[1]>e.shape[2]?Math.trunc((e.shape[1]-e.shape[2])/2):0,e.shape[1]>e.shape[2]?Math.trunc((e.shape[1]-e.shape[2])/2):0],[0,0]],o.pad=Ne.pad(e,G0.padding),o.resize=Ne.image.resizeBilinear(o.pad,[t,t]);let n=Ne.cast(o.resize,"int32");return Object.keys(o).forEach(r=>Ne.dispose(o[r])),n}function Bo(e,t){e.keypoints=e.keypoints.filter(n=>n&&n.position);for(let n of e.keypoints)n.position=[n.position[0]*(t[0]+G0.padding[2][0]+G0.padding[2][1])/t[0]-G0.padding[2][0],n.position[1]*(t[1]+G0.padding[1][0]+G0.padding[1][1])/t[1]-G0.padding[1][0]],n.positionRaw=[n.position[0]/t[0],n.position[1]/t[1]];let o=ce(e.keypoints.map(n=>n.position),t);return e.box=o.box,e.boxRaw=o.boxRaw,e}var B0,v5=0,V1=Number.MAX_SAFE_INTEGER,qe={boxes:[],bodies:[],last:0};async function Vo(e){return R.initial&&(B0=null),B0?e.debug&&p("cached model:",B0.modelUrl):(u5(["size"],e),B0=await 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Br=[127,234,132,58,172,150,149,148,152,377,378,379,397,288,361,454,356,70,63,105,66,107,336,296,334,293,300,168,6,195,4,98,97,2,326,327,33,160,158,133,153,144,362,385,387,263,373,380,57,40,37,0,267,270,287,321,314,17,84,91,78,81,13,311,308,402,14,178],Hr=[33,133,362,263,1,62,308,159,145,386,374,6,102,331,2,13,14,70,105,107,336,334,300,54,10,284,50,280,234,454,58,288,152],Vr=[33,133,362,263,1,78,308],s4=Br.map(e=>w2[e]),a4=Hr.map(e=>w2[e]),i4=Vr.map(e=>w2[e]);function Pe(e){let t=e.map(o=>o[0]);return t.push(e[e.length-1][1]),t}var 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hA=[[61,146],[146,91],[91,181],[181,84],[84,17],[17,314],[314,405],[405,321],[321,375],[375,291],[61,185],[185,40],[40,39],[39,37],[37,0],[0,267],[267,269],[269,270],[270,409],[409,291],[78,95],[95,88],[88,178],[178,87],[87,14],[14,317],[317,402],[402,318],[318,324],[324,308],[78,191],[191,80],[80,81],[81,82],[82,13],[13,312],[312,311],[311,310],[310,415],[415,308]],bA=[[263,249],[249,390],[390,373],[373,374],[374,380],[380,381],[381,382],[382,362],[263,466],[466,388],[388,387],[387,386],[386,385],[385,384],[384,398],[398,362]],gA=[[276,283],[283,282],[282,295],[295,285],[300,293],[293,334],[334,296],[296,336]],MA=[[474,475],[475,476],[476,477],[477,474]],PA=[[33,7],[7,163],[163,144],[144,145],[145,153],[153,154],[154,155],[155,133],[33,246],[246,161],[161,160],[160,159],[159,158],[158,157],[157,173],[173,133]],vA=[[46,53],[53,52],[52,65],[65,55],[70,63],[63,105],[105,66],[66,107]],RA=[[469,470],[470,471],[471,472],[472,469]],TA=[[10,338],[338,297],[297,332],[332,284],[284,251],[251,389],[389,356],[356,454],[454,323],[323,361],[361,288],[288,397],[397,365],[365,379],[379,378],[378,400],[400,377],[377,152],[152,148],[148,176],[176,149],[149,150],[150,136],[136,172],[172,58],[58,132],[132,93],[93,234],[234,127],[127,162],[162,21],[21,54],[54,103],[103,67],[67,109],[109,10]];function 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Object.keys(Le))w.annotations[G]=[w.mesh[Le[G]]]}}else{let G=E.find(y0=>y0.shape[y0.shape.length-1]===1404),o0=ke.reshape(G,[-1,3]),_=await o0.array();ke.dispose(o0),(P=t.face.attention)!=null&&P.enabled?_=await Y3(_,E):(M=t.face.iris)!=null&&M.enabled&&(_=await X3(_,w.tensor,t,Ve)),w.mesh=r3(_,u,S,N,Ve),w.meshRaw=w.mesh.map(y0=>[y0[0]/(e.shape[2]||0),y0[1]/(e.shape[1]||0),(y0[2]||0)/Ve]);for(let y0 of Object.keys(Y0))w.annotations[y0]=Y0[y0].map(V0=>w.mesh[V0]);w.score=w.faceScore;let z={...s3(w.mesh,u),confidence:u.confidence,landmarks:u.landmarks};w.box=Y2(z,e),w.boxRaw=K2(z,e),A.push(z)}ke.dispose(E)}else{w.box=Y2(u,e),w.boxRaw=K2(u,e),w.score=w.boxScore,w.mesh=u.landmarks.map(E=>[(u.startPoint[0]+u.endPoint[0])/2+(u.endPoint[0]+u.startPoint[0])*E[0]/$e(),(u.startPoint[1]+u.endPoint[1])/2+(u.endPoint[1]+u.startPoint[1])*E[1]/$e()]),w.meshRaw=w.mesh.map(E=>[E[0]/(e.shape[2]||0),E[1]/(e.shape[1]||0),(E[2]||0)/Ve]);for(let E of Object.keys(Le))w.annotations[E]=[w.mesh[Le[E]]]}w.score>(((g=t.face.detector)==null?void 0:g.minConfidence)||1)?r.push(w):ke.dispose(w.tensor)}return se.boxes=A,r}async function J3(e){var t,o,n,r,A,s;return R.initial&&(M0=null),((o=(t=e==null?void 0:e.face)==null?void 0:t.attention)==null?void 0:o.enabled)&&(M0==null?void 0:M0.signature)&&Object.keys(((n=M0==null?void 0:M0.signature)==null?void 0:n.outputs)||{}).length<6&&(M0=null),M0?e.debug&&p("cached model:",M0.modelUrl):(r=e.face.attention)!=null&&r.enabled?M0=await W((A=e.face.attention)==null?void 0:A.modelPath):M0=await W((s=e.face.mesh)==null?void 0:s.modelPath),Ve=M0.inputs[0].shape?M0.inputs[0].shape[2]:0,M0}var Q3=We,_3=w2;var _0=Z(D());var W0,i5=[],$3=0,eo=0,R1=Number.MAX_SAFE_INTEGER;async function to(e){var t;return R.initial&&(W0=null),W0?e.debug&&p("cached model:",W0.modelUrl):W0=await W((t=e.face.description)==null?void 0:t.modelPath),W0}function T1(e){let 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y=M5.image.resizeBilinear(e,[P0!=null&&P0.inputs[0].shape?P0.inputs[0].shape[2]:0,P0!=null&&P0.inputs[0].shape?P0.inputs[0].shape[1]:0],!1),x=P0==null?void 0:P0.execute(y),i=(await x.data())[0];g5[o]=Math.round(100*i)/100,Oo=n,No=b(),M5.dispose([y,x]),l(g5[o])}))}var Vo=Z(D());var C2={};be(C2,{connected:()=>v5,horizontal:()=>G1,kpt:()=>P5,relative:()=>H1,vertical:()=>B1});var 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t=0;te.shape[1]?Math.trunc((e.shape[2]-e.shape[1])/2):0,e.shape[2]>e.shape[1]?Math.trunc((e.shape[2]-e.shape[1])/2):0],[e.shape[1]>e.shape[2]?Math.trunc((e.shape[1]-e.shape[2])/2):0,e.shape[1]>e.shape[2]?Math.trunc((e.shape[1]-e.shape[2])/2):0],[0,0]],o.pad=Ne.pad(e,G0.padding),o.resize=Ne.image.resizeBilinear(o.pad,[t,t]);let n=Ne.cast(o.resize,"int32");return Object.keys(o).forEach(r=>Ne.dispose(o[r])),n}function Ho(e,t){e.keypoints=e.keypoints.filter(n=>n&&n.position);for(let n of e.keypoints)n.position=[n.position[0]*(t[0]+G0.padding[2][0]+G0.padding[2][1])/t[0]-G0.padding[2][0],n.position[1]*(t[1]+G0.padding[1][0]+G0.padding[1][1])/t[1]-G0.padding[1][0]],n.positionRaw=[n.position[0]/t[0],n.position[1]/t[1]];let o=ce(e.keypoints.map(n=>n.position),t);return e.box=o.box,e.boxRaw=o.boxRaw,e}var B0,R5=0,D1=Number.MAX_SAFE_INTEGER,qe={boxes:[],bodies:[],last:0};async function Do(e){return R.initial&&(B0=null),B0?e.debug&&p("cached model:",B0.modelUrl):(h5(["size"],e),B0=await 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Br=[127,234,132,58,172,150,149,148,152,377,378,379,397,288,361,454,356,70,63,105,66,107,336,296,334,293,300,168,6,195,4,98,97,2,326,327,33,160,158,133,153,144,362,385,387,263,373,380,57,40,37,0,267,270,287,321,314,17,84,91,78,81,13,311,308,402,14,178],Hr=[33,133,362,263,1,62,308,159,145,386,374,6,102,331,2,13,14,70,105,107,336,334,300,54,10,284,50,280,234,454,58,288,152],Vr=[33,133,362,263,1,78,308],s4=Br.map(e=>w2[e]),a4=Hr.map(e=>w2[e]),i4=Vr.map(e=>w2[e]);function Pe(e){let t=e.map(o=>o[0]);return t.push(e[e.length-1][1]),t}var 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hA=[[61,146],[146,91],[91,181],[181,84],[84,17],[17,314],[314,405],[405,321],[321,375],[375,291],[61,185],[185,40],[40,39],[39,37],[37,0],[0,267],[267,269],[269,270],[270,409],[409,291],[78,95],[95,88],[88,178],[178,87],[87,14],[14,317],[317,402],[402,318],[318,324],[324,308],[78,191],[191,80],[80,81],[81,82],[82,13],[13,312],[312,311],[311,310],[310,415],[415,308]],bA=[[263,249],[249,390],[390,373],[373,374],[374,380],[380,381],[381,382],[382,362],[263,466],[466,388],[388,387],[387,386],[386,385],[385,384],[384,398],[398,362]],gA=[[276,283],[283,282],[282,295],[295,285],[300,293],[293,334],[334,296],[296,336]],MA=[[474,475],[475,476],[476,477],[477,474]],PA=[[33,7],[7,163],[163,144],[144,145],[145,153],[153,154],[154,155],[155,133],[33,246],[246,161],[161,160],[160,159],[159,158],[158,157],[157,173],[173,133]],vA=[[46,53],[53,52],[52,65],[65,55],[70,63],[63,105],[105,66],[66,107]],RA=[[469,470],[470,471],[471,472],[472,469]],TA=[[10,338],[338,297],[297,332],[332,284],[284,251],[251,389],[389,356],[356,454],[454,323],[323,361],[361,288],[288,397],[397,365],[365,379],[379,378],[378,400],[400,377],[377,152],[152,148],[148,176],[176,149],[149,150],[150,136],[136,172],[172,58],[58,132],[132,93],[93,234],[234,127],[127,162],[162,21],[21,54],[54,103],[103,67],[67,109],[109,10]];function 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Object.keys(Le))w.annotations[G]=[w.mesh[Le[G]]]}}else{let G=E.find(y0=>y0.shape[y0.shape.length-1]===1404),o0=ke.reshape(G,[-1,3]),_=await o0.array();ke.dispose(o0),(P=t.face.attention)!=null&&P.enabled?_=await Y3(_,E):(M=t.face.iris)!=null&&M.enabled&&(_=await X3(_,w.tensor,t,Ve)),w.mesh=r3(_,u,S,N,Ve),w.meshRaw=w.mesh.map(y0=>[y0[0]/(e.shape[2]||0),y0[1]/(e.shape[1]||0),(y0[2]||0)/Ve]);for(let y0 of Object.keys(Y0))w.annotations[y0]=Y0[y0].map(V0=>w.mesh[V0]);w.score=w.faceScore;let z={...s3(w.mesh,u),confidence:u.confidence,landmarks:u.landmarks};w.box=Y2(z,e),w.boxRaw=K2(z,e),A.push(z)}ke.dispose(E)}else{w.box=Y2(u,e),w.boxRaw=K2(u,e),w.score=w.boxScore,w.mesh=u.landmarks.map(E=>[(u.startPoint[0]+u.endPoint[0])/2+(u.endPoint[0]+u.startPoint[0])*E[0]/$e(),(u.startPoint[1]+u.endPoint[1])/2+(u.endPoint[1]+u.startPoint[1])*E[1]/$e()]),w.meshRaw=w.mesh.map(E=>[E[0]/(e.shape[2]||0),E[1]/(e.shape[1]||0),(E[2]||0)/Ve]);for(let E of Object.keys(Le))w.annotations[E]=[w.mesh[Le[E]]]}w.score>(((g=t.face.detector)==null?void 0:g.minConfidence)||1)?r.push(w):ke.dispose(w.tensor)}return se.boxes=A,r}async function J3(e){var t,o,n,r,A,s;return R.initial&&(M0=null),((o=(t=e==null?void 0:e.face)==null?void 0:t.attention)==null?void 0:o.enabled)&&(M0==null?void 0:M0.signature)&&Object.keys(((n=M0==null?void 0:M0.signature)==null?void 0:n.outputs)||{}).length<6&&(M0=null),M0?e.debug&&p("cached model:",M0.modelUrl):(r=e.face.attention)!=null&&r.enabled?M0=await W((A=e.face.attention)==null?void 0:A.modelPath):M0=await W((s=e.face.mesh)==null?void 0:s.modelPath),Ve=M0.inputs[0].shape?M0.inputs[0].shape[2]:0,M0}var Q3=We,_3=w2;var _0=Z(D());var W0,i5=[],$3=0,eo=0,R1=Number.MAX_SAFE_INTEGER;async function to(e){var t;return R.initial&&(W0=null),W0?e.debug&&p("cached model:",W0.modelUrl):W0=await W((t=e.face.description)==null?void 0:t.modelPath),W0}function T1(e){let 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y=M5.image.resizeBilinear(e,[P0!=null&&P0.inputs[0].shape?P0.inputs[0].shape[2]:0,P0!=null&&P0.inputs[0].shape?P0.inputs[0].shape[1]:0],!1),x=P0==null?void 0:P0.execute(y),i=(await x.data())[0];g5[o]=Math.round(100*i)/100,Oo=n,No=b(),M5.dispose([y,x]),l(g5[o])}))}var Vo=Z(D());var C2={};be(C2,{connected:()=>v5,horizontal:()=>G1,kpt:()=>P5,relative:()=>H1,vertical:()=>B1});var 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t=0;te.shape[1]?Math.trunc((e.shape[2]-e.shape[1])/2):0,e.shape[2]>e.shape[1]?Math.trunc((e.shape[2]-e.shape[1])/2):0],[e.shape[1]>e.shape[2]?Math.trunc((e.shape[1]-e.shape[2])/2):0,e.shape[1]>e.shape[2]?Math.trunc((e.shape[1]-e.shape[2])/2):0],[0,0]],o.pad=Ne.pad(e,G0.padding),o.resize=Ne.image.resizeBilinear(o.pad,[t,t]);let n=Ne.cast(o.resize,"int32");return Object.keys(o).forEach(r=>Ne.dispose(o[r])),n}function Ho(e,t){e.keypoints=e.keypoints.filter(n=>n&&n.position);for(let n of e.keypoints)n.position=[n.position[0]*(t[0]+G0.padding[2][0]+G0.padding[2][1])/t[0]-G0.padding[2][0],n.position[1]*(t[1]+G0.padding[1][0]+G0.padding[1][1])/t[1]-G0.padding[1][0]],n.positionRaw=[n.position[0]/t[0],n.position[1]/t[1]];let o=ce(e.keypoints.map(n=>n.position),t);return e.box=o.box,e.boxRaw=o.boxRaw,e}var B0,R5=0,D1=Number.MAX_SAFE_INTEGER,qe={boxes:[],bodies:[],last:0};async function Do(e){return R.initial&&(B0=null),B0?e.debug&&p("cached model:",B0.modelUrl):(h5(["size"],e),B0=await 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hA=[[61,146],[146,91],[91,181],[181,84],[84,17],[17,314],[314,405],[405,321],[321,375],[375,291],[61,185],[185,40],[40,39],[39,37],[37,0],[0,267],[267,269],[269,270],[270,409],[409,291],[78,95],[95,88],[88,178],[178,87],[87,14],[14,317],[317,402],[402,318],[318,324],[324,308],[78,191],[191,80],[80,81],[81,82],[82,13],[13,312],[312,311],[311,310],[310,415],[415,308]],bA=[[263,249],[249,390],[390,373],[373,374],[374,380],[380,381],[381,382],[382,362],[263,466],[466,388],[388,387],[387,386],[386,385],[385,384],[384,398],[398,362]],gA=[[276,283],[283,282],[282,295],[295,285],[300,293],[293,334],[334,296],[296,336]],MA=[[474,475],[475,476],[476,477],[477,474]],PA=[[33,7],[7,163],[163,144],[144,145],[145,153],[153,154],[154,155],[155,133],[33,246],[246,161],[161,160],[160,159],[159,158],[158,157],[157,173],[173,133]],vA=[[46,53],[53,52],[52,65],[65,55],[70,63],[63,105],[105,66],[66,107]],RA=[[469,470],[470,471],[471,472],[472,469]],TA=[[10,338],[338,297],[297,332],[332,284],[284,251],[251,389],[389,356],[356,454],[454,323],[323,361],[361,288],[288,397],[397,365],[365,379],[379,378],[378,400],[400,377],[377,152],[152,148],[148,176],[176,149],[149,150],[150,136],[136,172],[172,58],[58,132],[132,93],[93,234],[234,127],[127,162],[162,21],[21,54],[54,103],[103,67],[67,109],[109,10]];function 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t.filter(A=>A.size===142)[0].data(),irisR:await t.filter(A=>A.size===10)[1].data(),eyeR:await t.filter(A=>A.size===142)[1].data()},n=Be.reduce((A,s)=>A+=e[s][2],0)/Be.length;for(let A=0;AA+=e[s][2],0)/He.length;for(let A=0;Ab()-se.timestamp,n=se.skipped<(((l=t.face.detector)==null?void 0:l.skipFrames)||0);!t.skipAllowed||!o||!n||se.boxes.length===0?(se.boxes=await l3(e,t),se.timestamp=b(),se.skipped=0):se.skipped++;let r=[],A=[],s=0;for(let f=0;fG.shape[G.shape.length-1]===1).data();if(w.faceScore=Math.round(100*X[0])/100,w.faceScore<(((h=t.face.detector)==null?void 0:h.minConfidence)||1)){if(u.confidence=w.faceScore,(m=t.face.mesh)!=null&&m.keepInvalid){w.box=U2(u,e),w.boxRaw=Y2(u,e),w.score=w.boxScore,w.mesh=u.landmarks.map(G=>[(u.startPoint[0]+u.endPoint[0])/2+(u.endPoint[0]+u.startPoint[0])*G[0]/$e(),(u.startPoint[1]+u.endPoint[1])/2+(u.endPoint[1]+u.startPoint[1])*G[1]/$e()]),w.meshRaw=w.mesh.map(G=>[G[0]/(e.shape[2]||1),G[1]/(e.shape[1]||1),(G[2]||0)/Ve]);for(let G of Object.keys(Le))w.annotations[G]=[w.mesh[Le[G]]]}}else{let G=E.find(y0=>y0.shape[y0.shape.length-1]===1404),o0=ke.reshape(G,[-1,3]),_=await o0.array();ke.dispose(o0),(P=t.face.attention)!=null&&P.enabled?_=await U3(_,E):(M=t.face.iris)!=null&&M.enabled&&(_=await Z3(_,w.tensor,t,Ve)),w.mesh=n3(_,u,S,N,Ve),w.meshRaw=w.mesh.map(y0=>[y0[0]/(e.shape[2]||0),y0[1]/(e.shape[1]||0),(y0[2]||0)/Ve]);for(let y0 of Object.keys(Y0))w.annotations[y0]=Y0[y0].map(V0=>w.mesh[V0]);w.score=w.faceScore;let z={...A3(w.mesh,u),confidence:u.confidence,landmarks:u.landmarks};w.box=U2(z,e),w.boxRaw=Y2(z,e),A.push(z)}ke.dispose(E)}else{w.box=U2(u,e),w.boxRaw=Y2(u,e),w.score=w.boxScore,w.mesh=u.landmarks.map(E=>[(u.startPoint[0]+u.endPoint[0])/2+(u.endPoint[0]+u.startPoint[0])*E[0]/$e(),(u.startPoint[1]+u.endPoint[1])/2+(u.endPoint[1]+u.startPoint[1])*E[1]/$e()]),w.meshRaw=w.mesh.map(E=>[E[0]/(e.shape[2]||0),E[1]/(e.shape[1]||0),(E[2]||0)/Ve]);for(let E of Object.keys(Le))w.annotations[E]=[w.mesh[Le[E]]]}w.score>(((g=t.face.detector)==null?void 0:g.minConfidence)||1)?r.push(w):ke.dispose(w.tensor)}return se.boxes=A,r}async function K3(e){var t,o,n,r,A,s;return R.initial&&(M0=null),((o=(t=e==null?void 0:e.face)==null?void 0:t.attention)==null?void 0:o.enabled)&&(M0==null?void 0:M0.signature)&&Object.keys(((n=M0==null?void 0:M0.signature)==null?void 0:n.outputs)||{}).length<6&&(M0=null),M0?e.debug&&p("cached model:",M0.modelUrl):(r=e.face.attention)!=null&&r.enabled?M0=await W((A=e.face.attention)==null?void 0:A.modelPath):M0=await W((s=e.face.mesh)==null?void 0:s.modelPath),Ve=M0.inputs[0].shape?M0.inputs[0].shape[2]:0,M0}var J3=We,Q3=w2;var _0=Z(D());var W0,a5=[],_3=0,$3=0,v1=Number.MAX_SAFE_INTEGER;async function eo(e){var t;return R.initial&&(W0=null),W0?e.debug&&p("cached model:",W0.modelUrl):W0=await W((t=e.face.description)==null?void 0:t.modelPath),W0}function R1(e){let 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t=0;te.shape[1]?Math.trunc((e.shape[2]-e.shape[1])/2):0,e.shape[2]>e.shape[1]?Math.trunc((e.shape[2]-e.shape[1])/2):0],[e.shape[1]>e.shape[2]?Math.trunc((e.shape[1]-e.shape[2])/2):0,e.shape[1]>e.shape[2]?Math.trunc((e.shape[1]-e.shape[2])/2):0],[0,0]],o.pad=Ne.pad(e,G0.padding),o.resize=Ne.image.resizeBilinear(o.pad,[t,t]);let n=Ne.cast(o.resize,"int32");return Object.keys(o).forEach(r=>Ne.dispose(o[r])),n}function Bo(e,t){e.keypoints=e.keypoints.filter(n=>n&&n.position);for(let n of e.keypoints)n.position=[n.position[0]*(t[0]+G0.padding[2][0]+G0.padding[2][1])/t[0]-G0.padding[2][0],n.position[1]*(t[1]+G0.padding[1][0]+G0.padding[1][1])/t[1]-G0.padding[1][0]],n.positionRaw=[n.position[0]/t[0],n.position[1]/t[1]];let o=ce(e.keypoints.map(n=>n.position),t);return e.box=o.box,e.boxRaw=o.boxRaw,e}var B0,v5=0,V1=Number.MAX_SAFE_INTEGER,qe={boxes:[],bodies:[],last:0};async function Vo(e){return R.initial&&(B0=null),B0?e.debug&&p("cached model:",B0.modelUrl):(u5(["size"],e),B0=await 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hA=[[61,146],[146,91],[91,181],[181,84],[84,17],[17,314],[314,405],[405,321],[321,375],[375,291],[61,185],[185,40],[40,39],[39,37],[37,0],[0,267],[267,269],[269,270],[270,409],[409,291],[78,95],[95,88],[88,178],[178,87],[87,14],[14,317],[317,402],[402,318],[318,324],[324,308],[78,191],[191,80],[80,81],[81,82],[82,13],[13,312],[312,311],[311,310],[310,415],[415,308]],bA=[[263,249],[249,390],[390,373],[373,374],[374,380],[380,381],[381,382],[382,362],[263,466],[466,388],[388,387],[387,386],[386,385],[385,384],[384,398],[398,362]],gA=[[276,283],[283,282],[282,295],[295,285],[300,293],[293,334],[334,296],[296,336]],MA=[[474,475],[475,476],[476,477],[477,474]],PA=[[33,7],[7,163],[163,144],[144,145],[145,153],[153,154],[154,155],[155,133],[33,246],[246,161],[161,160],[160,159],[159,158],[158,157],[157,173],[173,133]],vA=[[46,53],[53,52],[52,65],[65,55],[70,63],[63,105],[105,66],[66,107]],RA=[[469,470],[470,471],[471,472],[472,469]],TA=[[10,338],[338,297],[297,332],[332,284],[284,251],[251,389],[389,356],[356,454],[454,323],[323,361],[361,288],[288,397],[397,365],[365,379],[379,378],[378,400],[400,377],[377,152],[152,148],[148,176],[176,149],[149,150],[150,136],[136,172],[172,58],[58,132],[132,93],[93,234],[234,127],[127,162],[162,21],[21,54],[54,103],[103,67],[67,109],[109,10]];function 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t.filter(A=>A.size===142)[0].data(),irisR:await t.filter(A=>A.size===10)[1].data(),eyeR:await t.filter(A=>A.size===142)[1].data()},n=Be.reduce((A,s)=>A+=e[s][2],0)/Be.length;for(let A=0;AA+=e[s][2],0)/He.length;for(let A=0;Ab()-se.timestamp,n=se.skipped<(((l=t.face.detector)==null?void 0:l.skipFrames)||0);!t.skipAllowed||!o||!n||se.boxes.length===0?(se.boxes=await l3(e,t),se.timestamp=b(),se.skipped=0):se.skipped++;let r=[],A=[],s=0;for(let f=0;fG.shape[G.shape.length-1]===1).data();if(w.faceScore=Math.round(100*X[0])/100,w.faceScore<(((h=t.face.detector)==null?void 0:h.minConfidence)||1)){if(u.confidence=w.faceScore,(m=t.face.mesh)!=null&&m.keepInvalid){w.box=U2(u,e),w.boxRaw=Y2(u,e),w.score=w.boxScore,w.mesh=u.landmarks.map(G=>[(u.startPoint[0]+u.endPoint[0])/2+(u.endPoint[0]+u.startPoint[0])*G[0]/$e(),(u.startPoint[1]+u.endPoint[1])/2+(u.endPoint[1]+u.startPoint[1])*G[1]/$e()]),w.meshRaw=w.mesh.map(G=>[G[0]/(e.shape[2]||1),G[1]/(e.shape[1]||1),(G[2]||0)/Ve]);for(let G of Object.keys(Le))w.annotations[G]=[w.mesh[Le[G]]]}}else{let G=E.find(y0=>y0.shape[y0.shape.length-1]===1404),o0=ke.reshape(G,[-1,3]),_=await o0.array();ke.dispose(o0),(P=t.face.attention)!=null&&P.enabled?_=await U3(_,E):(M=t.face.iris)!=null&&M.enabled&&(_=await Z3(_,w.tensor,t,Ve)),w.mesh=n3(_,u,S,N,Ve),w.meshRaw=w.mesh.map(y0=>[y0[0]/(e.shape[2]||0),y0[1]/(e.shape[1]||0),(y0[2]||0)/Ve]);for(let y0 of Object.keys(Y0))w.annotations[y0]=Y0[y0].map(V0=>w.mesh[V0]);w.score=w.faceScore;let z={...A3(w.mesh,u),confidence:u.confidence,landmarks:u.landmarks};w.box=U2(z,e),w.boxRaw=Y2(z,e),A.push(z)}ke.dispose(E)}else{w.box=U2(u,e),w.boxRaw=Y2(u,e),w.score=w.boxScore,w.mesh=u.landmarks.map(E=>[(u.startPoint[0]+u.endPoint[0])/2+(u.endPoint[0]+u.startPoint[0])*E[0]/$e(),(u.startPoint[1]+u.endPoint[1])/2+(u.endPoint[1]+u.startPoint[1])*E[1]/$e()]),w.meshRaw=w.mesh.map(E=>[E[0]/(e.shape[2]||0),E[1]/(e.shape[1]||0),(E[2]||0)/Ve]);for(let E of Object.keys(Le))w.annotations[E]=[w.mesh[Le[E]]]}w.score>(((g=t.face.detector)==null?void 0:g.minConfidence)||1)?r.push(w):ke.dispose(w.tensor)}return se.boxes=A,r}async function K3(e){var t,o,n,r,A,s;return R.initial&&(M0=null),((o=(t=e==null?void 0:e.face)==null?void 0:t.attention)==null?void 0:o.enabled)&&(M0==null?void 0:M0.signature)&&Object.keys(((n=M0==null?void 0:M0.signature)==null?void 0:n.outputs)||{}).length<6&&(M0=null),M0?e.debug&&p("cached model:",M0.modelUrl):(r=e.face.attention)!=null&&r.enabled?M0=await W((A=e.face.attention)==null?void 0:A.modelPath):M0=await W((s=e.face.mesh)==null?void 0:s.modelPath),Ve=M0.inputs[0].shape?M0.inputs[0].shape[2]:0,M0}var J3=We,Q3=w2;var _0=Z(D());var W0,a5=[],_3=0,$3=0,v1=Number.MAX_SAFE_INTEGER;async function eo(e){var t;return R.initial&&(W0=null),W0?e.debug&&p("cached model:",W0.modelUrl):W0=await W((t=e.face.description)==null?void 0:t.modelPath),W0}function R1(e){let 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t=0;te.shape[1]?Math.trunc((e.shape[2]-e.shape[1])/2):0,e.shape[2]>e.shape[1]?Math.trunc((e.shape[2]-e.shape[1])/2):0],[e.shape[1]>e.shape[2]?Math.trunc((e.shape[1]-e.shape[2])/2):0,e.shape[1]>e.shape[2]?Math.trunc((e.shape[1]-e.shape[2])/2):0],[0,0]],o.pad=Ne.pad(e,G0.padding),o.resize=Ne.image.resizeBilinear(o.pad,[t,t]);let n=Ne.cast(o.resize,"int32");return Object.keys(o).forEach(r=>Ne.dispose(o[r])),n}function Bo(e,t){e.keypoints=e.keypoints.filter(n=>n&&n.position);for(let n of e.keypoints)n.position=[n.position[0]*(t[0]+G0.padding[2][0]+G0.padding[2][1])/t[0]-G0.padding[2][0],n.position[1]*(t[1]+G0.padding[1][0]+G0.padding[1][1])/t[1]-G0.padding[1][0]],n.positionRaw=[n.position[0]/t[0],n.position[1]/t[1]];let o=ce(e.keypoints.map(n=>n.position),t);return e.box=o.box,e.boxRaw=o.boxRaw,e}var B0,v5=0,V1=Number.MAX_SAFE_INTEGER,qe={boxes:[],bodies:[],last:0};async function Vo(e){return R.initial&&(B0=null),B0?e.debug&&p("cached model:",B0.modelUrl):(u5(["size"],e),B0=await 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0.3)":K.color,t.fill())}if(e.annotations&&e.annotations.rightEyeIris&&e.annotations.rightEyeIris[0]){t.strokeStyle=K.useDepth?"rgba(255, 200, 255, 0.3)":K.color,t.beginPath();let o=Math.abs(e.annotations.rightEyeIris[3][0]-e.annotations.rightEyeIris[1][0])/2,n=Math.abs(e.annotations.rightEyeIris[4][1]-e.annotations.rightEyeIris[2][1])/2;t.ellipse(e.annotations.rightEyeIris[0][0],e.annotations.rightEyeIris[0][1],o,n,0,0,2*Math.PI),t.stroke(),K.fillPolygons&&(t.fillStyle=K.useDepth?"rgba(255, 255, 200, 0.3)":K.color,t.fill())}}function u7(e,t){var o;if(K.drawGaze&&((o=e.rotation)==null?void 0:o.angle)&&typeof Path2D!="undefined"){t.strokeStyle="pink";let n=e.box[0]+e.box[2]/2-e.box[3]*Ue(e.rotation.angle.yaw)/90,r=e.box[1]+e.box[3]/2+e.box[2]*Ue(e.rotation.angle.pitch)/90,A=new Path2D(` M ${e.box[0]+e.box[2]/2} ${e.box[1]} C ${n} ${e.box[1]}, diff --git a/test/build.log b/test/build.log index 86090847..93a90119 100644 --- a/test/build.log +++ b/test/build.log @@ -1,39 +1,39 @@ -2022-08-19 09:12:22 DATA:  Build {"name":"@vladmandic/human","version":"2.9.3"} -2022-08-19 09:12:22 INFO:  Application: {"name":"@vladmandic/human","version":"2.9.3"} -2022-08-19 09:12:22 INFO:  Environment: {"profile":"production","config":".build.json","package":"package.json","tsconfig":true,"eslintrc":true,"git":true} -2022-08-19 09:12:22 INFO:  Toolchain: {"build":"0.7.10","esbuild":"0.15.5","typescript":"4.7.4","typedoc":"0.23.10","eslint":"8.22.0"} -2022-08-19 09:12:22 INFO:  Build: {"profile":"production","steps":["clean","compile","typings","typedoc","lint","changelog"]} -2022-08-19 09:12:22 STATE: Clean: {"locations":["dist/*","types/lib/*","typedoc/*"]} -2022-08-19 09:12:22 STATE: Compile: {"name":"tfjs/nodejs/cpu","format":"cjs","platform":"node","input":"tfjs/tf-node.ts","output":"dist/tfjs.esm.js","files":1,"inputBytes":102,"outputBytes":608} -2022-08-19 09:12:22 STATE: Compile: {"name":"human/nodejs/cpu","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node.js","files":75,"inputBytes":655452,"outputBytes":307474} -2022-08-19 09:12:22 STATE: Compile: {"name":"tfjs/nodejs/gpu","format":"cjs","platform":"node","input":"tfjs/tf-node-gpu.ts","output":"dist/tfjs.esm.js","files":1,"inputBytes":110,"outputBytes":612} -2022-08-19 09:12:22 STATE: Compile: {"name":"human/nodejs/gpu","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node-gpu.js","files":75,"inputBytes":655456,"outputBytes":307478} -2022-08-19 09:12:22 STATE: Compile: {"name":"tfjs/nodejs/wasm","format":"cjs","platform":"node","input":"tfjs/tf-node-wasm.ts","output":"dist/tfjs.esm.js","files":1,"inputBytes":149,"outputBytes":664} -2022-08-19 09:12:22 STATE: Compile: {"name":"human/nodejs/wasm","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node-wasm.js","files":75,"inputBytes":655508,"outputBytes":307528} -2022-08-19 09:12:22 STATE: Compile: {"name":"tfjs/browser/version","format":"esm","platform":"browser","input":"tfjs/tf-version.ts","output":"dist/tfjs.version.js","files":1,"inputBytes":1069,"outputBytes":358} -2022-08-19 09:12:22 STATE: Compile: {"name":"tfjs/browser/esm/nobundle","format":"esm","platform":"browser","input":"tfjs/tf-browser.ts","output":"dist/tfjs.esm.js","files":2,"inputBytes":1032,"outputBytes":583} -2022-08-19 09:12:22 STATE: Compile: {"name":"human/browser/esm/nobundle","format":"esm","platform":"browser","input":"src/human.ts","output":"dist/human.esm-nobundle.js","files":75,"inputBytes":655427,"outputBytes":306323} -2022-08-19 09:12:22 STATE: Compile: {"name":"tfjs/browser/esm/custom","format":"esm","platform":"browser","input":"tfjs/tf-custom.ts","output":"dist/tfjs.esm.js","files":11,"inputBytes":1271,"outputBytes":2787569} -2022-08-19 09:12:22 STATE: Compile: {"name":"human/browser/iife/bundle","format":"iife","platform":"browser","input":"src/human.ts","output":"dist/human.js","files":75,"inputBytes":3442413,"outputBytes":1669183} -2022-08-19 09:12:22 STATE: Compile: {"name":"human/browser/esm/bundle","format":"esm","platform":"browser","input":"src/human.ts","output":"dist/human.esm.js","files":75,"inputBytes":3442413,"outputBytes":3073108} -2022-08-19 09:12:27 STATE: Typings: {"input":"src/human.ts","output":"types/lib","files":30} -2022-08-19 09:12:29 STATE: TypeDoc: {"input":"src/human.ts","output":"typedoc","objects":77,"generated":true} -2022-08-19 09:12:29 STATE: Compile: {"name":"demo/typescript","format":"esm","platform":"browser","input":"demo/typescript/index.ts","output":"demo/typescript/index.js","files":1,"inputBytes":6716,"outputBytes":3141} -2022-08-19 09:12:29 STATE: Compile: {"name":"demo/faceid","format":"esm","platform":"browser","input":"demo/faceid/index.ts","output":"demo/faceid/index.js","files":2,"inputBytes":15629,"outputBytes":7798} -2022-08-19 09:12:37 STATE: Lint: {"locations":["*.json","src/**/*.ts","test/**/*.js","demo/**/*.js"],"files":109,"errors":0,"warnings":0} -2022-08-19 09:12:37 STATE: ChangeLog: {"repository":"https://github.com/vladmandic/human","branch":"main","output":"CHANGELOG.md"} -2022-08-19 09:12:37 STATE: Copy: {"input":"tfjs/tfjs.esm.d.ts"} -2022-08-19 09:12:37 INFO:  Done... -2022-08-19 09:12:37 STATE: API-Extractor: {"succeeeded":true,"errors":0,"warnings":198} -2022-08-19 09:12:37 STATE: Copy: {"input":"types/human.d.ts"} -2022-08-19 09:12:37 INFO:  Analyze models: {"folders":8,"result":"models/models.json"} -2022-08-19 09:12:37 STATE: Models {"folder":"./models","models":13} -2022-08-19 09:12:37 STATE: Models {"folder":"../human-models/models","models":42} -2022-08-19 09:12:37 STATE: Models {"folder":"../blazepose/model/","models":4} -2022-08-19 09:12:37 STATE: Models {"folder":"../anti-spoofing/model","models":1} -2022-08-19 09:12:37 STATE: Models {"folder":"../efficientpose/models","models":3} -2022-08-19 09:12:37 STATE: Models {"folder":"../insightface/models","models":5} -2022-08-19 09:12:37 STATE: Models {"folder":"../movenet/models","models":3} -2022-08-19 09:12:37 STATE: Models {"folder":"../nanodet/models","models":4} -2022-08-19 09:12:38 STATE: Models: {"count":57,"totalSize":383017442} -2022-08-19 09:12:38 INFO:  Human Build complete... {"logFile":"test/build.log"} +2022-08-20 09:29:24 DATA:  Build {"name":"@vladmandic/human","version":"2.9.4"} +2022-08-20 09:29:24 INFO:  Application: {"name":"@vladmandic/human","version":"2.9.4"} +2022-08-20 09:29:24 INFO:  Environment: {"profile":"production","config":".build.json","package":"package.json","tsconfig":true,"eslintrc":true,"git":true} +2022-08-20 09:29:24 INFO:  Toolchain: {"build":"0.7.10","esbuild":"0.15.5","typescript":"4.7.4","typedoc":"0.23.10","eslint":"8.22.0"} +2022-08-20 09:29:24 INFO:  Build: {"profile":"production","steps":["clean","compile","typings","typedoc","lint","changelog"]} +2022-08-20 09:29:24 STATE: Clean: {"locations":["dist/*","types/lib/*","typedoc/*"]} +2022-08-20 09:29:24 STATE: Compile: {"name":"tfjs/nodejs/cpu","format":"cjs","platform":"node","input":"tfjs/tf-node.ts","output":"dist/tfjs.esm.js","files":1,"inputBytes":102,"outputBytes":608} +2022-08-20 09:29:24 STATE: Compile: {"name":"human/nodejs/cpu","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node.js","files":75,"inputBytes":655391,"outputBytes":307474} +2022-08-20 09:29:24 STATE: Compile: {"name":"tfjs/nodejs/gpu","format":"cjs","platform":"node","input":"tfjs/tf-node-gpu.ts","output":"dist/tfjs.esm.js","files":1,"inputBytes":110,"outputBytes":612} +2022-08-20 09:29:24 STATE: Compile: {"name":"human/nodejs/gpu","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node-gpu.js","files":75,"inputBytes":655395,"outputBytes":307478} +2022-08-20 09:29:24 STATE: Compile: {"name":"tfjs/nodejs/wasm","format":"cjs","platform":"node","input":"tfjs/tf-node-wasm.ts","output":"dist/tfjs.esm.js","files":1,"inputBytes":149,"outputBytes":664} +2022-08-20 09:29:24 STATE: Compile: {"name":"human/nodejs/wasm","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node-wasm.js","files":75,"inputBytes":655447,"outputBytes":307528} +2022-08-20 09:29:24 STATE: Compile: {"name":"tfjs/browser/version","format":"esm","platform":"browser","input":"tfjs/tf-version.ts","output":"dist/tfjs.version.js","files":1,"inputBytes":1069,"outputBytes":358} +2022-08-20 09:29:24 STATE: Compile: {"name":"tfjs/browser/esm/nobundle","format":"esm","platform":"browser","input":"tfjs/tf-browser.ts","output":"dist/tfjs.esm.js","files":2,"inputBytes":1032,"outputBytes":583} +2022-08-20 09:29:24 STATE: Compile: {"name":"human/browser/esm/nobundle","format":"esm","platform":"browser","input":"src/human.ts","output":"dist/human.esm-nobundle.js","files":75,"inputBytes":655366,"outputBytes":306323} +2022-08-20 09:29:25 STATE: Compile: {"name":"tfjs/browser/esm/custom","format":"esm","platform":"browser","input":"tfjs/tf-custom.ts","output":"dist/tfjs.esm.js","files":11,"inputBytes":1271,"outputBytes":2787569} +2022-08-20 09:29:25 STATE: Compile: {"name":"human/browser/iife/bundle","format":"iife","platform":"browser","input":"src/human.ts","output":"dist/human.js","files":75,"inputBytes":3442352,"outputBytes":1669183} +2022-08-20 09:29:25 STATE: Compile: {"name":"human/browser/esm/bundle","format":"esm","platform":"browser","input":"src/human.ts","output":"dist/human.esm.js","files":75,"inputBytes":3442352,"outputBytes":3073108} +2022-08-20 09:29:29 STATE: Typings: {"input":"src/human.ts","output":"types/lib","files":30} +2022-08-20 09:29:31 STATE: TypeDoc: {"input":"src/human.ts","output":"typedoc","objects":77,"generated":true} +2022-08-20 09:29:31 STATE: Compile: {"name":"demo/typescript","format":"esm","platform":"browser","input":"demo/typescript/index.ts","output":"demo/typescript/index.js","files":1,"inputBytes":6716,"outputBytes":3141} +2022-08-20 09:29:31 STATE: Compile: {"name":"demo/faceid","format":"esm","platform":"browser","input":"demo/faceid/index.ts","output":"demo/faceid/index.js","files":2,"inputBytes":15629,"outputBytes":7798} +2022-08-20 09:29:39 STATE: Lint: {"locations":["*.json","src/**/*.ts","test/**/*.js","demo/**/*.js"],"files":109,"errors":0,"warnings":0} +2022-08-20 09:29:39 STATE: ChangeLog: {"repository":"https://github.com/vladmandic/human","branch":"main","output":"CHANGELOG.md"} +2022-08-20 09:29:39 STATE: Copy: {"input":"tfjs/tfjs.esm.d.ts"} +2022-08-20 09:29:39 INFO:  Done... +2022-08-20 09:29:39 STATE: API-Extractor: {"succeeeded":true,"errors":0,"warnings":198} +2022-08-20 09:29:39 STATE: Copy: {"input":"types/human.d.ts"} +2022-08-20 09:29:39 INFO:  Analyze models: {"folders":8,"result":"models/models.json"} +2022-08-20 09:29:39 STATE: Models {"folder":"./models","models":13} +2022-08-20 09:29:39 STATE: Models {"folder":"../human-models/models","models":42} +2022-08-20 09:29:39 STATE: Models {"folder":"../blazepose/model/","models":4} +2022-08-20 09:29:39 STATE: Models {"folder":"../anti-spoofing/model","models":1} +2022-08-20 09:29:39 STATE: Models {"folder":"../efficientpose/models","models":3} +2022-08-20 09:29:39 STATE: Models {"folder":"../insightface/models","models":5} +2022-08-20 09:29:39 STATE: Models {"folder":"../movenet/models","models":3} +2022-08-20 09:29:39 STATE: Models {"folder":"../nanodet/models","models":4} +2022-08-20 09:29:40 STATE: Models: {"count":57,"totalSize":383017442} +2022-08-20 09:29:40 INFO:  Human Build complete... {"logFile":"test/build.log"} diff --git a/test/node.js b/test/node.js index afe1f11e..a5613454 100644 --- a/test/node.js +++ b/test/node.js @@ -22,6 +22,7 @@ const demos = [ { cmd: '../demo/nodejs/node-similarity.js', args: ['samples/in/ai-face.jpg', 'samples/in/ai-upper.jpg'] }, { cmd: '../demo/nodejs/node-canvas.js', args: ['samples/in/ai-body.jpg', 'samples/out/ai-body.jpg'] }, { cmd: '../demo/multithread/node-multiprocess.js', args: [] }, + { cmd: '../demo/facematch/node-match.js', args: [] }, // { cmd: '../demo/nodejs/node-video.js', args: [] }, // { cmd: '../demo/nodejs/node-webcam.js', args: [] }, ]; @@ -91,7 +92,7 @@ async function runTest(test) { // eslint-disable-next-line no-unused-vars, @typescript-eslint/no-unused-vars async function runDemo(demo) { - log.info(); + // log.info(); log.info(demo, 'start'); status[demo.cmd] = { passed: 0, failed: 0 }; return new Promise((resolve) => { diff --git a/test/test-main.js b/test/test-main.js index 3de97404..32d066f8 100644 --- a/test/test-main.js +++ b/test/test-main.js @@ -1,6 +1,6 @@ const fs = require('fs'); const process = require('process'); -const canvasJS = require('canvas'); +const canvasJS = require('canvas'); // eslint-disable-line node/no-extraneous-require, node/no-missing-require let fetch; // fetch is dynamically imported later let config; @@ -262,7 +262,7 @@ async function verifyCompare(human) { async function test(Human, inputConfig) { lastOp = `test ${inputConfig}`; config = inputConfig; - fetch = (await import('node-fetch')).default; + fetch = (await import('node-fetch')).default; // eslint-disable-line node/no-extraneous-require, node/no-missing-import const ok = await testHTTP(); if (!ok) { log('error', 'aborting test'); diff --git a/test/test-node-wasm.js b/test/test-node-wasm.js index ed491d9d..9a8596fc 100644 --- a/test/test-node-wasm.js +++ b/test/test-node-wasm.js @@ -1,7 +1,7 @@ const log = require('@vladmandic/pilogger'); const tf = require('@tensorflow/tfjs'); // wasm backend requires tfjs to be loaded first const wasm = require('@tensorflow/tfjs-backend-wasm'); // wasm backend does not get auto-loaded in nodejs -const { Canvas, Image } = require('canvas'); +const { Canvas, Image } = require('canvas'); // eslint-disable-line node/no-extraneous-require, node/no-missing-require const H = require('../dist/human.node-wasm.js'); const test = require('./test-main.js').test; diff --git a/test/test.log b/test/test.log index fc1e3ca8..48c8e65e 100644 --- a/test/test.log +++ b/test/test.log @@ -1,975 +1,970 @@ -2022-08-19 09:13:23 INFO:  @vladmandic/human version 2.9.3 -2022-08-19 09:13:23 INFO:  User: vlado Platform: linux Arch: x64 Node: v18.1.0 -2022-08-19 09:13:23 INFO:  demos: [{"cmd":"../demo/nodejs/node.js","args":[]},{"cmd":"../demo/nodejs/node-simple.js","args":[]},{"cmd":"../demo/nodejs/node-fetch.js","args":[]},{"cmd":"../demo/nodejs/node-event.js","args":["samples/in/ai-body.jpg"]},{"cmd":"../demo/nodejs/node-similarity.js","args":["samples/in/ai-face.jpg","samples/in/ai-upper.jpg"]},{"cmd":"../demo/nodejs/node-canvas.js","args":["samples/in/ai-body.jpg","samples/out/ai-body.jpg"]},{"cmd":"../demo/multithread/node-multiprocess.js","args":[]}] -2022-08-19 09:13:23 INFO:  -2022-08-19 09:13:23 INFO:  {"cmd":"../demo/nodejs/node.js","args":[]} start -2022-08-19 09:13:24 INFO:  -2022-08-19 09:13:24 INFO:  {"cmd":"../demo/nodejs/node-simple.js","args":[]} start -2022-08-19 09:13:25 INFO:  -2022-08-19 09:13:25 INFO:  {"cmd":"../demo/nodejs/node-fetch.js","args":[]} start -2022-08-19 09:13:27 INFO:  -2022-08-19 09:13:27 INFO:  {"cmd":"../demo/nodejs/node-event.js","args":["samples/in/ai-body.jpg"]} start -2022-08-19 09:13:28 INFO:  -2022-08-19 09:13:28 INFO:  {"cmd":"../demo/nodejs/node-similarity.js","args":["samples/in/ai-face.jpg","samples/in/ai-upper.jpg"]} start -2022-08-19 09:13:28 INFO:  -2022-08-19 09:13:28 INFO:  {"cmd":"../demo/nodejs/node-canvas.js","args":["samples/in/ai-body.jpg","samples/out/ai-body.jpg"]} start -2022-08-19 09:13:29 INFO:  -2022-08-19 09:13:29 INFO:  {"cmd":"../demo/multithread/node-multiprocess.js","args":[]} start -2022-08-19 09:13:30 INFO:  tests: ["test-node.js","test-node-gpu.js","test-node-wasm.js"] -2022-08-19 09:13:30 INFO:  -2022-08-19 09:13:30 INFO:  test-node.js start -2022-08-19 09:13:30 INFO:  test-node.js test: configuration validation -2022-08-19 09:13:30 STATE: test-node.js passed: configuration default validation [] -2022-08-19 09:13:30 STATE: test-node.js passed: configuration invalid validation [{"reason":"unknown property","where":"config.invalid = true"}] -2022-08-19 09:13:30 INFO:  test-node.js test: model load -2022-08-19 09:13:30 STATE: test-node.js passed: models loaded 23 12 [{"name":"ssrnetage","loaded":false,"url":null},{"name":"gear","loaded":false,"url":null},{"name":"blazeposedetect","loaded":false,"url":null},{"name":"blazepose","loaded":false,"url":null},{"name":"centernet","loaded":true,"url":"file://models/mb3-centernet.json"},{"name":"efficientpose","loaded":false,"url":null},{"name":"mobilefacenet","loaded":false,"url":null},{"name":"insightface","loaded":false,"url":null},{"name":"emotion","loaded":true,"url":"file://models/emotion.json"},{"name":"facedetect","loaded":true,"url":"file://models/blazeface.json"},{"name":"faceiris","loaded":true,"url":"file://models/iris.json"},{"name":"facemesh","loaded":true,"url":"file://models/facemesh.json"},{"name":"faceres","loaded":true,"url":"file://models/faceres.json"},{"name":"ssrnetgender","loaded":false,"url":null},{"name":"handpose","loaded":false,"url":null},{"name":"handskeleton","loaded":true,"url":"file://models/handlandmark-full.json"},{"name":"handtrack","loaded":true,"url":"file://models/handtrack.json"},{"name":"liveness","loaded":true,"url":"file://models/liveness.json"},{"name":"movenet","loaded":true,"url":"file://models/movenet-lightning.json"},{"name":"nanodet","loaded":false,"url":null},{"name":"posenet","loaded":false,"url":null},{"name":"segmentation","loaded":true,"url":"file://models/selfie.json"},{"name":"antispoof","loaded":true,"url":"file://models/antispoof.json"}] -2022-08-19 09:13:30 INFO:  test-node.js test: warmup -2022-08-19 09:13:30 STATE: test-node.js passed: create human -2022-08-19 09:13:30 INFO:  test-node.js human version: 2.9.3 -2022-08-19 09:13:30 INFO:  test-node.js platform: linux x64 agent: NodeJS v18.1.0 -2022-08-19 09:13:30 INFO:  test-node.js tfjs version: 3.19.0 -2022-08-19 09:13:30 INFO:  test-node.js env: {"browser":false,"node":true,"platform":"linux x64","agent":"NodeJS v18.1.0","backends":["cpu","tensorflow"],"initial":false,"tfjs":{"version":"3.19.0"},"offscreen":false,"perfadd":false,"tensorflow":{"version":"2.7.3-dev20220521","gpu":false},"wasm":{"supported":true,"backend":false},"webgl":{"supported":false,"backend":false},"webgpu":{"supported":false,"backend":false},"cpu":{"flags":[]},"kernels":169} -2022-08-19 09:13:30 STATE: test-node.js passed: set backend: tensorflow -2022-08-19 09:13:30 STATE: test-node.js tensors 1921 -2022-08-19 09:13:30 STATE: test-node.js passed: load models -2022-08-19 09:13:30 STATE: test-node.js result: defined models: 23 loaded models: 12 -2022-08-19 09:13:30 STATE: test-node.js passed: warmup: none default -2022-08-19 09:13:30 DATA:  test-node.js result: face: 0 body: 0 hand: 0 gesture: 0 object: 0 person: 0 {} {} {} -2022-08-19 09:13:30 DATA:  test-node.js result: performance: load: null total: null -2022-08-19 09:13:30 STATE: test-node.js passed: warmup none result match -2022-08-19 09:13:30 STATE: test-node.js event: image -2022-08-19 09:13:31 STATE: test-node.js event: detect -2022-08-19 09:13:31 STATE: test-node.js event: warmup -2022-08-19 09:13:31 STATE: test-node.js passed: warmup: face default -2022-08-19 09:13:31 DATA:  test-node.js result: face: 1 body: 1 hand: 1 gesture: 7 object: 1 person: 1 {"score":1,"age":23.5,"gender":"female"} {"score":0.82,"class":"person"} {"score":0.42,"keypoints":4} -2022-08-19 09:13:31 DATA:  test-node.js result: performance: load: null total: 410 -2022-08-19 09:13:31 STATE: test-node.js passed: warmup face result match -2022-08-19 09:13:31 STATE: test-node.js event: image -2022-08-19 09:13:31 STATE: test-node.js event: detect -2022-08-19 09:13:31 STATE: test-node.js event: warmup -2022-08-19 09:13:31 STATE: test-node.js passed: warmup: body default -2022-08-19 09:13:31 DATA:  test-node.js result: face: 1 body: 1 hand: 1 gesture: 7 object: 1 person: 1 {"score":1,"age":23.7,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} -2022-08-19 09:13:31 DATA:  test-node.js result: performance: load: null total: 305 -2022-08-19 09:13:31 STATE: test-node.js passed: warmup body result match -2022-08-19 09:13:31 STATE: test-node.js details: {"face":{"boxScore":0.92,"faceScore":1,"age":23.7,"gender":"female","genderScore":0.97},"emotion":[{"score":0.63,"emotion":"angry"},{"score":0.22,"emotion":"fear"}],"body":{"score":0.92,"keypoints":17},"hand":{"boxScore":0.52,"fingerScore":0.73,"keypoints":21},"gestures":[{"face":0,"gesture":"facing right"},{"face":0,"gesture":"mouth 10% open"},{"hand":0,"gesture":"pinky forward"},{"hand":0,"gesture":"palm up"},{"hand":0,"gesture":"open palm"},{"iris":0,"gesture":"looking left"},{"iris":0,"gesture":"looking up"}]} -2022-08-19 09:13:31 INFO:  test-node.js test: details verification -2022-08-19 09:13:31 STATE: test-node.js start default -2022-08-19 09:13:31 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} -2022-08-19 09:13:31 STATE: test-node.js event: image -2022-08-19 09:13:31 STATE: test-node.js event: detect -2022-08-19 09:13:31 STATE: test-node.js passed: detect: samples/in/ai-body.jpg default -2022-08-19 09:13:31 DATA:  test-node.js result: face: 1 body: 1 hand: 1 gesture: 7 object: 1 person: 1 {"score":1,"age":23.7,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} -2022-08-19 09:13:31 DATA:  test-node.js result: performance: load: null total: 245 -2022-08-19 09:13:31 STATE: test-node.js passed: details face length 1 -2022-08-19 09:13:31 STATE: test-node.js passed: details face score 1 0.93 1 -2022-08-19 09:13:31 STATE: test-node.js passed: details face age/gender 23.7 female 0.97 85.47 -2022-08-19 09:13:31 STATE: test-node.js passed: details face arrays 4 478 1024 -2022-08-19 09:13:31 STATE: test-node.js passed: details face emotion 2 {"score":0.59,"emotion":"angry"} -2022-08-19 09:13:31 STATE: test-node.js passed: details face anti-spoofing 0.79 -2022-08-19 09:13:31 STATE: test-node.js passed: details face liveness 0.83 -2022-08-19 09:13:31 STATE: test-node.js passed: details body length 1 -2022-08-19 09:13:31 STATE: test-node.js passed: details body 0.92 17 6 -2022-08-19 09:13:31 STATE: test-node.js passed: details hand length 1 -2022-08-19 09:13:31 STATE: test-node.js passed: details hand 0.51 0.73 point -2022-08-19 09:13:31 STATE: test-node.js passed: details hand arrays 21 5 7 -2022-08-19 09:13:31 STATE: test-node.js passed: details gesture length 7 -2022-08-19 09:13:31 STATE: test-node.js passed: details gesture first {"face":0,"gesture":"facing right"} -2022-08-19 09:13:31 STATE: test-node.js passed: details object length 1 -2022-08-19 09:13:31 STATE: test-node.js passed: details object 0.72 person -2022-08-19 09:13:32 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,4] {"checksum":1371996928} -2022-08-19 09:13:32 STATE: test-node.js event: image -2022-08-19 09:13:32 STATE: test-node.js event: detect -2022-08-19 09:13:32 STATE: test-node.js passed: tensor shape: [1,1200,1200,4] dtype: float32 -2022-08-19 09:13:32 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1200,1200,4] {"checksum":1371996928} -2022-08-19 09:13:32 STATE: test-node.js event: image -2022-08-19 09:13:32 STATE: test-node.js event: detect -2022-08-19 09:13:32 STATE: test-node.js passed: tensor shape: [1200,1200,4] dtype: float32 -2022-08-19 09:13:33 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} -2022-08-19 09:13:33 STATE: test-node.js event: image -2022-08-19 09:13:33 STATE: test-node.js event: detect -2022-08-19 09:13:33 STATE: test-node.js passed: tensor shape: [1,1200,1200,3] dtype: float32 -2022-08-19 09:13:33 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1200,1200,3] {"checksum":1004796864} -2022-08-19 09:13:33 STATE: test-node.js event: image -2022-08-19 09:13:33 STATE: test-node.js event: detect -2022-08-19 09:13:33 STATE: test-node.js passed: tensor shape: [1200,1200,3] dtype: float32 -2022-08-19 09:13:33 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,4] {"checksum":1371996871} -2022-08-19 09:13:33 STATE: test-node.js event: image -2022-08-19 09:13:34 STATE: test-node.js event: detect -2022-08-19 09:13:34 STATE: test-node.js passed: tensor shape: [1,1200,1200,4] dtype: int32 -2022-08-19 09:13:34 INFO:  test-node.js test default -2022-08-19 09:13:34 STATE: test-node.js start async -2022-08-19 09:13:34 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} -2022-08-19 09:13:34 STATE: test-node.js event: image -2022-08-19 09:13:34 STATE: test-node.js event: detect -2022-08-19 09:13:34 STATE: test-node.js passed: detect: samples/in/ai-body.jpg async -2022-08-19 09:13:34 DATA:  test-node.js result: face: 1 body: 1 hand: 1 gesture: 7 object: 1 person: 1 {"score":1,"age":23.7,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} -2022-08-19 09:13:34 DATA:  test-node.js result: performance: load: null total: 212 -2022-08-19 09:13:34 STATE: test-node.js passed: default result face match 1 female 0.97 -2022-08-19 09:13:34 INFO:  test-node.js test sync -2022-08-19 09:13:34 STATE: test-node.js start sync -2022-08-19 09:13:34 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} -2022-08-19 09:13:34 STATE: test-node.js event: image -2022-08-19 09:13:34 STATE: test-node.js event: detect -2022-08-19 09:13:34 STATE: test-node.js passed: detect: samples/in/ai-body.jpg sync -2022-08-19 09:13:34 DATA:  test-node.js result: face: 1 body: 1 hand: 1 gesture: 7 object: 1 person: 1 {"score":1,"age":23.7,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} -2022-08-19 09:13:34 DATA:  test-node.js result: performance: load: null total: 217 -2022-08-19 09:13:34 STATE: test-node.js passed: default sync 1 female 0.97 -2022-08-19 09:13:34 INFO:  test-node.js test: image process -2022-08-19 09:13:34 STATE: test-node.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34696120} -2022-08-19 09:13:34 STATE: test-node.js passed: image input null [1,256,256,3] -2022-08-19 09:13:34 INFO:  test-node.js test: image null -2022-08-19 09:13:34 STATE: test-node.js passed: invalid input could not convert input to tensor -2022-08-19 09:13:34 INFO:  test-node.js test face similarity -2022-08-19 09:13:34 STATE: test-node.js start face similarity -2022-08-19 09:13:34 STATE: test-node.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34696120} -2022-08-19 09:13:34 STATE: test-node.js event: image -2022-08-19 09:13:35 STATE: test-node.js event: detect -2022-08-19 09:13:35 STATE: test-node.js passed: detect: samples/in/ai-face.jpg face similarity -2022-08-19 09:13:35 DATA:  test-node.js result: face: 1 body: 1 hand: 1 gesture: 6 object: 1 person: 1 {"score":1,"age":23.5,"gender":"female"} {"score":0.82,"class":"person"} {"score":0.47,"keypoints":3} -2022-08-19 09:13:35 DATA:  test-node.js result: performance: load: null total: 214 -2022-08-19 09:13:35 STATE: test-node.js start face similarity -2022-08-19 09:13:35 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} -2022-08-19 09:13:35 STATE: test-node.js event: image -2022-08-19 09:13:35 STATE: test-node.js event: detect -2022-08-19 09:13:35 STATE: test-node.js passed: detect: samples/in/ai-body.jpg face similarity -2022-08-19 09:13:35 DATA:  test-node.js result: face: 1 body: 1 hand: 1 gesture: 7 object: 1 person: 1 {"score":1,"age":23.7,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} -2022-08-19 09:13:35 DATA:  test-node.js result: performance: load: null total: 229 -2022-08-19 09:13:35 STATE: test-node.js start face similarity -2022-08-19 09:13:35 STATE: test-node.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151289024} -2022-08-19 09:13:35 STATE: test-node.js event: image -2022-08-19 09:13:35 STATE: test-node.js event: detect -2022-08-19 09:13:35 STATE: test-node.js passed: detect: samples/in/ai-upper.jpg face similarity -2022-08-19 09:13:35 DATA:  test-node.js result: face: 1 body: 1 hand: 0 gesture: 4 object: 1 person: 1 {"score":1,"age":23.5,"gender":"female"} {"score":0.71,"class":"person"} {"score":0.75,"keypoints":7} -2022-08-19 09:13:35 DATA:  test-node.js result: performance: load: null total: 191 -2022-08-19 09:13:35 STATE: test-node.js passed: face descriptor -2022-08-19 09:13:35 STATE: test-node.js passed: face similarity {"similarity":[1,0.44727452329649126,0.5567935850640406],"descriptors":[1024,1024,1024]} -2022-08-19 09:13:35 INFO:  test-node.js test object -2022-08-19 09:13:35 STATE: test-node.js start object -2022-08-19 09:13:35 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} -2022-08-19 09:13:35 STATE: test-node.js event: image -2022-08-19 09:13:36 STATE: test-node.js event: detect -2022-08-19 09:13:36 STATE: test-node.js passed: detect: samples/in/ai-body.jpg object -2022-08-19 09:13:36 DATA:  test-node.js result: face: 1 body: 1 hand: 1 gesture: 7 object: 1 person: 1 {"score":1,"age":23.7,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} -2022-08-19 09:13:36 DATA:  test-node.js result: performance: load: null total: 205 -2022-08-19 09:13:36 STATE: test-node.js passed: centernet -2022-08-19 09:13:36 STATE: test-node.js start object -2022-08-19 09:13:37 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} -2022-08-19 09:13:37 STATE: test-node.js event: image -2022-08-19 09:13:37 STATE: test-node.js event: detect -2022-08-19 09:13:37 STATE: test-node.js passed: detect: samples/in/ai-body.jpg object -2022-08-19 09:13:37 DATA:  test-node.js result: face: 1 body: 1 hand: 1 gesture: 7 object: 3 person: 1 {"score":1,"age":23.7,"gender":"female"} {"score":0.86,"class":"person"} {"score":0.92,"keypoints":17} -2022-08-19 09:13:37 DATA:  test-node.js result: performance: load: null total: 223 -2022-08-19 09:13:37 STATE: test-node.js passed: nanodet -2022-08-19 09:13:37 INFO:  test-node.js test sensitive -2022-08-19 09:13:37 STATE: test-node.js start sensitive -2022-08-19 09:13:37 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} -2022-08-19 09:13:37 STATE: test-node.js event: image -2022-08-19 09:13:37 STATE: test-node.js event: detect -2022-08-19 09:13:37 STATE: test-node.js passed: detect: samples/in/ai-body.jpg sensitive -2022-08-19 09:13:37 DATA:  test-node.js result: face: 1 body: 1 hand: 2 gesture: 9 object: 0 person: 1 {"score":1,"age":23.7,"gender":"female"} {} {"score":0.92,"keypoints":17} -2022-08-19 09:13:37 DATA:  test-node.js result: performance: load: null total: 171 -2022-08-19 09:13:37 STATE: test-node.js passed: sensitive result match -2022-08-19 09:13:37 STATE: test-node.js passed: sensitive face result match -2022-08-19 09:13:37 STATE: test-node.js passed: sensitive face emotion result [{"score":0.59,"emotion":"angry"},{"score":0.29,"emotion":"fear"}] -2022-08-19 09:13:37 STATE: test-node.js passed: sensitive body result match -2022-08-19 09:13:37 STATE: test-node.js passed: sensitive hand result match -2022-08-19 09:13:37 INFO:  test-node.js test body -2022-08-19 09:13:37 STATE: test-node.js start blazepose -2022-08-19 09:13:39 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} -2022-08-19 09:13:39 STATE: test-node.js event: image -2022-08-19 09:13:39 STATE: test-node.js event: detect -2022-08-19 09:13:39 STATE: test-node.js passed: detect: samples/in/ai-body.jpg blazepose -2022-08-19 09:13:39 DATA:  test-node.js result: face: 1 body: 1 hand: 2 gesture: 9 object: 0 person: 1 {"score":1,"age":23.7,"gender":"female"} {} {"score":0.99,"keypoints":39} -2022-08-19 09:13:39 DATA:  test-node.js result: performance: load: null total: 268 -2022-08-19 09:13:39 STATE: test-node.js passed: blazepose -2022-08-19 09:13:39 STATE: test-node.js start efficientpose -2022-08-19 09:13:40 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} -2022-08-19 09:13:40 STATE: test-node.js event: image -2022-08-19 09:13:41 STATE: test-node.js event: detect -2022-08-19 09:13:41 STATE: test-node.js passed: detect: samples/in/ai-body.jpg efficientpose -2022-08-19 09:13:41 DATA:  test-node.js result: face: 1 body: 1 hand: 2 gesture: 9 object: 0 person: 1 {"score":1,"age":23.7,"gender":"female"} {} {"score":0.75,"keypoints":13} -2022-08-19 09:13:41 DATA:  test-node.js result: performance: load: null total: 274 -2022-08-19 09:13:41 STATE: test-node.js passed: efficientpose -2022-08-19 09:13:41 STATE: test-node.js start posenet -2022-08-19 09:13:41 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} -2022-08-19 09:13:41 STATE: test-node.js event: image -2022-08-19 09:13:42 STATE: test-node.js event: detect -2022-08-19 09:13:42 STATE: test-node.js passed: detect: samples/in/ai-body.jpg posenet -2022-08-19 09:13:42 DATA:  test-node.js result: face: 1 body: 1 hand: 2 gesture: 9 object: 0 person: 1 {"score":1,"age":23.7,"gender":"female"} {} {"score":0.96,"keypoints":16} -2022-08-19 09:13:42 DATA:  test-node.js result: performance: load: null total: 194 -2022-08-19 09:13:42 STATE: test-node.js passed: posenet -2022-08-19 09:13:42 STATE: test-node.js start movenet -2022-08-19 09:13:42 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} -2022-08-19 09:13:42 STATE: test-node.js event: image -2022-08-19 09:13:42 STATE: test-node.js event: detect -2022-08-19 09:13:42 STATE: test-node.js passed: detect: samples/in/ai-body.jpg movenet -2022-08-19 09:13:42 DATA:  test-node.js result: face: 1 body: 1 hand: 2 gesture: 9 object: 0 person: 1 {"score":1,"age":23.7,"gender":"female"} {} {"score":0.92,"keypoints":17} -2022-08-19 09:13:42 DATA:  test-node.js result: performance: load: null total: 188 -2022-08-19 09:13:42 STATE: test-node.js passed: movenet -2022-08-19 09:13:42 INFO:  test-node.js test face matching -2022-08-19 09:13:42 STATE: test-node.js passed: face database 40 -2022-08-19 09:13:42 STATE: test-node.js passed: face match {"first":{"index":4,"similarity":0.7827852615252829}} {"second":{"index":4,"similarity":0.5002052633015844}} {"third":{"index":4,"similarity":0.5401587887998899}} -2022-08-19 09:13:42 INFO:  test-node.js test face similarity alternative -2022-08-19 09:13:42 STATE: test-node.js start face embeddings -2022-08-19 09:13:42 STATE: test-node.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34696120} -2022-08-19 09:13:42 STATE: test-node.js event: image -2022-08-19 09:13:43 STATE: test-node.js event: detect -2022-08-19 09:13:43 STATE: test-node.js passed: detect: samples/in/ai-face.jpg face embeddings -2022-08-19 09:13:43 DATA:  test-node.js result: face: 1 body: 1 hand: 2 gesture: 8 object: 0 person: 1 {"score":1,"age":23.5,"gender":"female"} {} {"score":0.47,"keypoints":3} -2022-08-19 09:13:43 DATA:  test-node.js result: performance: load: null total: 188 -2022-08-19 09:13:43 STATE: test-node.js passed: mobilefacenet {"embedding":192} -2022-08-19 09:13:43 STATE: test-node.js start face embeddings -2022-08-19 09:13:43 STATE: test-node.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34696120} -2022-08-19 09:13:43 STATE: test-node.js event: image -2022-08-19 09:13:43 STATE: test-node.js event: detect -2022-08-19 09:13:43 STATE: test-node.js passed: detect: samples/in/ai-face.jpg face embeddings -2022-08-19 09:13:43 DATA:  test-node.js result: face: 1 body: 1 hand: 2 gesture: 8 object: 0 person: 1 {"score":1,"age":23.5,"gender":"female"} {} {"score":0.47,"keypoints":3} -2022-08-19 09:13:43 DATA:  test-node.js result: performance: load: null total: 213 -2022-08-19 09:13:43 STATE: test-node.js passed: insightface {"embedding":512} -2022-08-19 09:13:43 INFO:  test-node.js test face attention -2022-08-19 09:13:43 STATE: test-node.js start face attention -2022-08-19 09:13:44 STATE: test-node.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34696120} -2022-08-19 09:13:44 STATE: test-node.js event: image -2022-08-19 09:13:44 STATE: test-node.js event: detect -2022-08-19 09:13:44 STATE: test-node.js passed: detect: samples/in/ai-face.jpg face attention -2022-08-19 09:13:44 DATA:  test-node.js result: face: 1 body: 1 hand: 2 gesture: 8 object: 0 person: 1 {"score":1,"age":23.5,"gender":"female"} {} {"score":0.47,"keypoints":3} -2022-08-19 09:13:44 DATA:  test-node.js result: performance: load: null total: 180 -2022-08-19 09:13:44 STATE: test-node.js passed: face attention -2022-08-19 09:13:44 INFO:  test-node.js test detectors -2022-08-19 09:13:44 STATE: test-node.js start detectors -2022-08-19 09:13:44 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} -2022-08-19 09:13:44 STATE: test-node.js event: image -2022-08-19 09:13:44 STATE: test-node.js event: detect -2022-08-19 09:13:44 STATE: test-node.js passed: detect: samples/in/ai-body.jpg detectors -2022-08-19 09:13:44 DATA:  test-node.js result: face: 1 body: 1 hand: 1 gesture: 0 object: 0 person: 1 {"score":0.93,"gender":"unknown"} {} {"score":0.92,"keypoints":17} -2022-08-19 09:13:44 DATA:  test-node.js result: performance: load: null total: 89 -2022-08-19 09:13:44 STATE: test-node.js passed: detector result face match -2022-08-19 09:13:44 STATE: test-node.js passed: detector result hand match -2022-08-19 09:13:44 INFO:  test-node.js test: multi-instance -2022-08-19 09:13:44 STATE: test-node.js start multi instance -2022-08-19 09:13:44 STATE: test-node.js event: image -2022-08-19 09:13:44 STATE: test-node.js event: detect -2022-08-19 09:13:44 STATE: test-node.js passed: detect: random multi instance -2022-08-19 09:13:44 DATA:  test-node.js result: face: 0 body: 1 hand: 0 gesture: 0 object: 0 person: 0 {} {} {"score":0,"keypoints":0} -2022-08-19 09:13:44 DATA:  test-node.js result: performance: load: null total: 85 -2022-08-19 09:13:44 INFO:  test-node.js test: first instance -2022-08-19 09:13:44 STATE: test-node.js start multi instance -2022-08-19 09:13:44 STATE: test-node.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151289024} -2022-08-19 09:13:44 STATE: test-node.js passed: detect: samples/in/ai-upper.jpg multi instance -2022-08-19 09:13:44 DATA:  test-node.js result: face: 1 body: 1 hand: 0 gesture: 0 object: 0 person: 1 {"score":0.96,"gender":"unknown"} {} {"score":0.75,"keypoints":7} -2022-08-19 09:13:44 DATA:  test-node.js result: performance: load: null total: 89 -2022-08-19 09:13:44 INFO:  test-node.js test: second instance -2022-08-19 09:13:44 STATE: test-node.js start multi instance -2022-08-19 09:13:44 STATE: test-node.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151289024} -2022-08-19 09:13:45 STATE: test-node.js passed: detect: samples/in/ai-upper.jpg multi instance -2022-08-19 09:13:45 DATA:  test-node.js result: face: 1 body: 1 hand: 0 gesture: 0 object: 0 person: 1 {"score":0.96,"gender":"unknown"} {} {"score":0.75,"keypoints":7} -2022-08-19 09:13:45 DATA:  test-node.js result: performance: load: null total: 82 -2022-08-19 09:13:45 INFO:  test-node.js test: concurrent -2022-08-19 09:13:45 STATE: test-node.js start concurrent -2022-08-19 09:13:45 STATE: test-node.js start concurrent -2022-08-19 09:13:45 STATE: test-node.js start concurrent -2022-08-19 09:13:45 STATE: test-node.js start concurrent -2022-08-19 09:13:45 STATE: test-node.js start concurrent -2022-08-19 09:13:45 STATE: test-node.js start concurrent -2022-08-19 09:13:45 STATE: test-node.js start concurrent -2022-08-19 09:13:45 STATE: test-node.js start concurrent -2022-08-19 09:13:45 STATE: test-node.js start concurrent -2022-08-19 09:13:45 STATE: test-node.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34696120} -2022-08-19 09:13:45 STATE: test-node.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34696120} -2022-08-19 09:13:45 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} -2022-08-19 09:13:45 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} -2022-08-19 09:13:45 STATE: test-node.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151289024} -2022-08-19 09:13:45 STATE: test-node.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151289024} -2022-08-19 09:13:45 STATE: test-node.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34696120} -2022-08-19 09:13:45 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} -2022-08-19 09:13:45 STATE: test-node.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151289024} -2022-08-19 09:13:45 STATE: test-node.js event: image -2022-08-19 09:13:45 STATE: test-node.js event: image -2022-08-19 09:13:45 STATE: test-node.js event: image -2022-08-19 09:13:46 STATE: test-node.js passed: detect: samples/in/ai-upper.jpg concurrent -2022-08-19 09:13:46 DATA:  test-node.js result: face: 1 body: 1 hand: 0 gesture: 0 object: 0 person: 1 {"score":0.96,"gender":"unknown"} {} {"score":0.75,"keypoints":7} -2022-08-19 09:13:46 DATA:  test-node.js result: performance: load: null total: 992 -2022-08-19 09:13:46 STATE: test-node.js passed: detect: samples/in/ai-upper.jpg concurrent -2022-08-19 09:13:46 DATA:  test-node.js result: face: 1 body: 1 hand: 0 gesture: 0 object: 0 person: 1 {"score":0.96,"gender":"unknown"} {} {"score":0.75,"keypoints":7} -2022-08-19 09:13:46 DATA:  test-node.js result: performance: load: null total: 992 -2022-08-19 09:13:46 STATE: test-node.js passed: detect: samples/in/ai-face.jpg concurrent -2022-08-19 09:13:46 DATA:  test-node.js result: face: 1 body: 1 hand: 1 gesture: 0 object: 0 person: 1 {"score":0.91,"gender":"unknown"} {} {"score":0.47,"keypoints":3} -2022-08-19 09:13:46 DATA:  test-node.js result: performance: load: null total: 993 -2022-08-19 09:13:46 STATE: test-node.js passed: detect: samples/in/ai-face.jpg concurrent -2022-08-19 09:13:46 DATA:  test-node.js result: face: 1 body: 1 hand: 1 gesture: 0 object: 0 person: 1 {"score":0.91,"gender":"unknown"} {} {"score":0.47,"keypoints":3} -2022-08-19 09:13:46 DATA:  test-node.js result: performance: load: null total: 993 -2022-08-19 09:13:46 STATE: test-node.js passed: detect: samples/in/ai-body.jpg concurrent -2022-08-19 09:13:46 DATA:  test-node.js result: face: 1 body: 1 hand: 1 gesture: 0 object: 0 person: 1 {"score":0.93,"gender":"unknown"} {} {"score":0.92,"keypoints":17} -2022-08-19 09:13:46 DATA:  test-node.js result: performance: load: null total: 993 -2022-08-19 09:13:46 STATE: test-node.js passed: detect: samples/in/ai-body.jpg concurrent -2022-08-19 09:13:46 DATA:  test-node.js result: face: 1 body: 1 hand: 1 gesture: 0 object: 0 person: 1 {"score":0.93,"gender":"unknown"} {} {"score":0.92,"keypoints":17} -2022-08-19 09:13:46 DATA:  test-node.js result: performance: load: null total: 993 -2022-08-19 09:13:46 STATE: test-node.js event: detect -2022-08-19 09:13:46 STATE: test-node.js passed: detect: samples/in/ai-upper.jpg concurrent -2022-08-19 09:13:46 DATA:  test-node.js result: face: 1 body: 1 hand: 0 gesture: 0 object: 0 person: 1 {"score":0.96,"gender":"unknown"} {} {"score":0.75,"keypoints":7} -2022-08-19 09:13:46 DATA:  test-node.js result: performance: load: null total: 719 -2022-08-19 09:13:46 STATE: test-node.js event: detect -2022-08-19 09:13:46 STATE: test-node.js event: detect -2022-08-19 09:13:46 STATE: test-node.js passed: detect: samples/in/ai-face.jpg concurrent -2022-08-19 09:13:46 DATA:  test-node.js result: face: 1 body: 1 hand: 1 gesture: 0 object: 0 person: 1 {"score":0.91,"gender":"unknown"} {} {"score":0.47,"keypoints":3} -2022-08-19 09:13:46 DATA:  test-node.js result: performance: load: null total: 719 -2022-08-19 09:13:46 STATE: test-node.js passed: detect: samples/in/ai-body.jpg concurrent -2022-08-19 09:13:46 DATA:  test-node.js result: face: 1 body: 1 hand: 1 gesture: 0 object: 0 person: 1 {"score":0.93,"gender":"unknown"} {} {"score":0.92,"keypoints":17} -2022-08-19 09:13:46 DATA:  test-node.js result: performance: load: null total: 719 -2022-08-19 09:13:46 INFO:  test-node.js test: monkey-patch -2022-08-19 09:13:46 STATE: test-node.js event: image -2022-08-19 09:13:46 STATE: test-node.js event: detect -2022-08-19 09:13:46 STATE: test-node.js passed: monkey patch -2022-08-19 09:13:46 STATE: test-node.js passed: segmentation [65536] -2022-08-19 09:13:46 STATE: test-node.js passeed: equal usage -2022-08-19 09:13:46 INFO:  test-node.js test: input compare -2022-08-19 09:13:46 STATE: test-node.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34696120} -2022-08-19 09:13:46 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} -2022-08-19 09:13:46 STATE: test-node.js passed: image compare 0 23.275441687091504 -2022-08-19 09:13:46 INFO:  test-node.js events: {"image":29,"detect":29,"warmup":2} -2022-08-19 09:13:46 INFO:  test-node.js tensors 4105 -2022-08-19 09:13:46 INFO:  test-node.js test complete: 16274 ms -2022-08-19 09:13:46 INFO:  -2022-08-19 09:13:46 INFO:  test-node-gpu.js start -2022-08-19 09:13:48 INFO:  test-node-gpu.js test: configuration validation -2022-08-19 09:13:48 STATE: test-node-gpu.js passed: configuration default validation [] -2022-08-19 09:13:48 STATE: test-node-gpu.js passed: configuration invalid validation [{"reason":"unknown property","where":"config.invalid = true"}] -2022-08-19 09:13:48 INFO:  test-node-gpu.js test: model load -2022-08-19 09:13:48 STATE: test-node-gpu.js passed: models loaded 23 12 [{"name":"ssrnetage","loaded":false,"url":null},{"name":"gear","loaded":false,"url":null},{"name":"blazeposedetect","loaded":false,"url":null},{"name":"blazepose","loaded":false,"url":null},{"name":"centernet","loaded":true,"url":"file://models/mb3-centernet.json"},{"name":"efficientpose","loaded":false,"url":null},{"name":"mobilefacenet","loaded":false,"url":null},{"name":"insightface","loaded":false,"url":null},{"name":"emotion","loaded":true,"url":"file://models/emotion.json"},{"name":"facedetect","loaded":true,"url":"file://models/blazeface.json"},{"name":"faceiris","loaded":true,"url":"file://models/iris.json"},{"name":"facemesh","loaded":true,"url":"file://models/facemesh.json"},{"name":"faceres","loaded":true,"url":"file://models/faceres.json"},{"name":"ssrnetgender","loaded":false,"url":null},{"name":"handpose","loaded":false,"url":null},{"name":"handskeleton","loaded":true,"url":"file://models/handlandmark-full.json"},{"name":"handtrack","loaded":true,"url":"file://models/handtrack.json"},{"name":"liveness","loaded":true,"url":"file://models/liveness.json"},{"name":"movenet","loaded":true,"url":"file://models/movenet-lightning.json"},{"name":"nanodet","loaded":false,"url":null},{"name":"posenet","loaded":false,"url":null},{"name":"segmentation","loaded":true,"url":"file://models/selfie.json"},{"name":"antispoof","loaded":true,"url":"file://models/antispoof.json"}] -2022-08-19 09:13:48 INFO:  test-node-gpu.js test: warmup -2022-08-19 09:13:48 STATE: test-node-gpu.js passed: create human -2022-08-19 09:13:48 INFO:  test-node-gpu.js human version: 2.9.3 -2022-08-19 09:13:48 INFO:  test-node-gpu.js platform: linux x64 agent: NodeJS v18.1.0 -2022-08-19 09:13:48 INFO:  test-node-gpu.js tfjs version: 3.19.0 -2022-08-19 09:13:48 INFO:  test-node-gpu.js env: {"browser":false,"node":true,"platform":"linux x64","agent":"NodeJS v18.1.0","backends":["cpu","tensorflow"],"initial":false,"tfjs":{"version":"3.19.0"},"offscreen":false,"perfadd":false,"tensorflow":{"version":"2.7.3-dev20220521","gpu":true},"wasm":{"supported":true,"backend":false},"webgl":{"supported":false,"backend":false},"webgpu":{"supported":false,"backend":false},"cpu":{"flags":[]},"kernels":169} -2022-08-19 09:13:48 STATE: test-node-gpu.js passed: set backend: tensorflow -2022-08-19 09:13:48 STATE: test-node-gpu.js tensors 1921 -2022-08-19 09:13:48 STATE: test-node-gpu.js passed: load models -2022-08-19 09:13:48 STATE: test-node-gpu.js result: defined models: 23 loaded models: 12 -2022-08-19 09:13:48 STATE: test-node-gpu.js passed: warmup: none default -2022-08-19 09:13:48 DATA:  test-node-gpu.js result: face: 0 body: 0 hand: 0 gesture: 0 object: 0 person: 0 {} {} {} -2022-08-19 09:13:48 DATA:  test-node-gpu.js result: performance: load: null total: null -2022-08-19 09:13:48 STATE: test-node-gpu.js passed: warmup none result match -2022-08-19 09:13:49 STATE: test-node-gpu.js event: image -2022-08-19 09:13:54 STATE: test-node-gpu.js event: detect -2022-08-19 09:13:54 STATE: test-node-gpu.js event: warmup -2022-08-19 09:13:54 STATE: test-node-gpu.js passed: warmup: face default -2022-08-19 09:13:54 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 1 gesture: 7 object: 1 person: 1 {"score":1,"age":23.5,"gender":"female"} {"score":0.82,"class":"person"} {"score":0.42,"keypoints":4} -2022-08-19 09:13:54 DATA:  test-node-gpu.js result: performance: load: null total: 5301 -2022-08-19 09:13:54 STATE: test-node-gpu.js passed: warmup face result match -2022-08-19 09:13:54 STATE: test-node-gpu.js event: image -2022-08-19 09:13:54 STATE: test-node-gpu.js event: detect -2022-08-19 09:13:54 STATE: test-node-gpu.js event: warmup -2022-08-19 09:13:54 STATE: test-node-gpu.js passed: warmup: body default -2022-08-19 09:13:54 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 1 gesture: 7 object: 1 person: 1 {"score":1,"age":23.7,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} -2022-08-19 09:13:54 DATA:  test-node-gpu.js result: performance: load: null total: 150 -2022-08-19 09:13:54 STATE: test-node-gpu.js passed: warmup body result match -2022-08-19 09:13:54 STATE: test-node-gpu.js details: {"face":{"boxScore":0.92,"faceScore":1,"age":23.7,"gender":"female","genderScore":0.97},"emotion":[{"score":0.63,"emotion":"angry"},{"score":0.22,"emotion":"fear"}],"body":{"score":0.92,"keypoints":17},"hand":{"boxScore":0.52,"fingerScore":0.73,"keypoints":21},"gestures":[{"face":0,"gesture":"facing right"},{"face":0,"gesture":"mouth 10% open"},{"hand":0,"gesture":"pinky forward"},{"hand":0,"gesture":"palm up"},{"hand":0,"gesture":"open palm"},{"iris":0,"gesture":"looking left"},{"iris":0,"gesture":"looking up"}]} -2022-08-19 09:13:54 INFO:  test-node-gpu.js test: details verification -2022-08-19 09:13:54 STATE: test-node-gpu.js start default -2022-08-19 09:13:55 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796928} -2022-08-19 09:13:55 STATE: test-node-gpu.js event: image -2022-08-19 09:13:55 STATE: test-node-gpu.js event: detect -2022-08-19 09:13:55 STATE: test-node-gpu.js passed: detect: samples/in/ai-body.jpg default -2022-08-19 09:13:55 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 1 gesture: 7 object: 1 person: 1 {"score":1,"age":23.7,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} -2022-08-19 09:13:55 DATA:  test-node-gpu.js result: performance: load: null total: 134 -2022-08-19 09:13:55 STATE: test-node-gpu.js passed: details face length 1 -2022-08-19 09:13:55 STATE: test-node-gpu.js passed: details face score 1 0.93 1 -2022-08-19 09:13:55 STATE: test-node-gpu.js passed: details face age/gender 23.7 female 0.97 85.47 -2022-08-19 09:13:55 STATE: test-node-gpu.js passed: details face arrays 4 478 1024 -2022-08-19 09:13:55 STATE: test-node-gpu.js passed: details face emotion 2 {"score":0.59,"emotion":"angry"} -2022-08-19 09:13:55 STATE: test-node-gpu.js passed: details face anti-spoofing 0.79 -2022-08-19 09:13:55 STATE: test-node-gpu.js passed: details face liveness 0.83 -2022-08-19 09:13:55 STATE: test-node-gpu.js passed: details body length 1 -2022-08-19 09:13:55 STATE: test-node-gpu.js passed: details body 0.92 17 6 -2022-08-19 09:13:55 STATE: test-node-gpu.js passed: details hand length 1 -2022-08-19 09:13:55 STATE: test-node-gpu.js passed: details hand 0.51 0.73 point -2022-08-19 09:13:55 STATE: test-node-gpu.js passed: details hand arrays 21 5 7 -2022-08-19 09:13:55 STATE: test-node-gpu.js passed: details gesture length 7 -2022-08-19 09:13:55 STATE: test-node-gpu.js passed: details gesture first {"face":0,"gesture":"facing right"} -2022-08-19 09:13:55 STATE: test-node-gpu.js passed: details object length 1 -2022-08-19 09:13:55 STATE: test-node-gpu.js passed: details object 0.72 person -2022-08-19 09:13:55 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,4] {"checksum":1371996928} -2022-08-19 09:13:55 STATE: test-node-gpu.js event: image -2022-08-19 09:13:55 STATE: test-node-gpu.js event: detect -2022-08-19 09:13:55 STATE: test-node-gpu.js passed: tensor shape: [1,1200,1200,4] dtype: float32 -2022-08-19 09:13:55 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1200,1200,4] {"checksum":1371996928} -2022-08-19 09:13:55 STATE: test-node-gpu.js event: image -2022-08-19 09:13:55 STATE: test-node-gpu.js event: detect -2022-08-19 09:13:55 STATE: test-node-gpu.js passed: tensor shape: [1200,1200,4] dtype: float32 -2022-08-19 09:13:56 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796928} -2022-08-19 09:13:56 STATE: test-node-gpu.js event: image -2022-08-19 09:13:56 STATE: test-node-gpu.js event: detect -2022-08-19 09:13:56 STATE: test-node-gpu.js passed: tensor shape: [1,1200,1200,3] dtype: float32 -2022-08-19 09:13:56 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1200,1200,3] {"checksum":1004796928} -2022-08-19 09:13:56 STATE: test-node-gpu.js event: image -2022-08-19 09:13:56 STATE: test-node-gpu.js event: detect -2022-08-19 09:13:56 STATE: test-node-gpu.js passed: tensor shape: [1200,1200,3] dtype: float32 -2022-08-19 09:13:56 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,4] {"checksum":1371996871} -2022-08-19 09:13:56 STATE: test-node-gpu.js event: image -2022-08-19 09:13:56 STATE: test-node-gpu.js event: detect -2022-08-19 09:13:56 STATE: test-node-gpu.js passed: tensor shape: [1,1200,1200,4] dtype: int32 -2022-08-19 09:13:56 INFO:  test-node-gpu.js test default -2022-08-19 09:13:56 STATE: test-node-gpu.js start async -2022-08-19 09:13:57 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796928} -2022-08-19 09:13:57 STATE: test-node-gpu.js event: image -2022-08-19 09:13:57 STATE: test-node-gpu.js event: detect -2022-08-19 09:13:57 STATE: test-node-gpu.js passed: detect: samples/in/ai-body.jpg async -2022-08-19 09:13:57 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 1 gesture: 7 object: 1 person: 1 {"score":1,"age":23.7,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} -2022-08-19 09:13:57 DATA:  test-node-gpu.js result: performance: load: null total: 148 -2022-08-19 09:13:57 STATE: test-node-gpu.js passed: default result face match 1 female 0.97 -2022-08-19 09:13:57 INFO:  test-node-gpu.js test sync -2022-08-19 09:13:57 STATE: test-node-gpu.js start sync -2022-08-19 09:13:57 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796928} -2022-08-19 09:13:57 STATE: test-node-gpu.js event: image -2022-08-19 09:13:57 STATE: test-node-gpu.js event: detect -2022-08-19 09:13:57 STATE: test-node-gpu.js passed: detect: samples/in/ai-body.jpg sync -2022-08-19 09:13:57 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 1 gesture: 7 object: 1 person: 1 {"score":1,"age":23.7,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} -2022-08-19 09:13:57 DATA:  test-node-gpu.js result: performance: load: null total: 142 -2022-08-19 09:13:57 STATE: test-node-gpu.js passed: default sync 1 female 0.97 -2022-08-19 09:13:57 INFO:  test-node-gpu.js test: image process -2022-08-19 09:13:57 STATE: test-node-gpu.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34696120} -2022-08-19 09:13:57 STATE: test-node-gpu.js passed: image input null [1,256,256,3] -2022-08-19 09:13:57 INFO:  test-node-gpu.js test: image null -2022-08-19 09:13:57 STATE: test-node-gpu.js passed: invalid input could not convert input to tensor -2022-08-19 09:13:57 INFO:  test-node-gpu.js test face similarity -2022-08-19 09:13:57 STATE: test-node-gpu.js start face similarity -2022-08-19 09:13:57 STATE: test-node-gpu.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34696120} -2022-08-19 09:13:57 STATE: test-node-gpu.js event: image -2022-08-19 09:13:57 STATE: test-node-gpu.js event: detect -2022-08-19 09:13:57 STATE: test-node-gpu.js passed: detect: samples/in/ai-face.jpg face similarity -2022-08-19 09:13:57 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 1 gesture: 6 object: 1 person: 1 {"score":1,"age":23.5,"gender":"female"} {"score":0.82,"class":"person"} {"score":0.47,"keypoints":3} -2022-08-19 09:13:57 DATA:  test-node-gpu.js result: performance: load: null total: 163 -2022-08-19 09:13:57 STATE: test-node-gpu.js start face similarity -2022-08-19 09:13:57 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796928} -2022-08-19 09:13:57 STATE: test-node-gpu.js event: image -2022-08-19 09:13:58 STATE: test-node-gpu.js event: detect -2022-08-19 09:13:58 STATE: test-node-gpu.js passed: detect: samples/in/ai-body.jpg face similarity -2022-08-19 09:13:58 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 1 gesture: 7 object: 1 person: 1 {"score":1,"age":23.7,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} -2022-08-19 09:13:58 DATA:  test-node-gpu.js result: performance: load: null total: 171 -2022-08-19 09:13:58 STATE: test-node-gpu.js start face similarity -2022-08-19 09:13:58 STATE: test-node-gpu.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151289056} -2022-08-19 09:13:58 STATE: test-node-gpu.js event: image -2022-08-19 09:13:58 STATE: test-node-gpu.js event: detect -2022-08-19 09:13:58 STATE: test-node-gpu.js passed: detect: samples/in/ai-upper.jpg face similarity -2022-08-19 09:13:58 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 0 gesture: 4 object: 1 person: 1 {"score":1,"age":23.5,"gender":"female"} {"score":0.71,"class":"person"} {"score":0.75,"keypoints":7} -2022-08-19 09:13:58 DATA:  test-node-gpu.js result: performance: load: null total: 168 -2022-08-19 09:13:58 STATE: test-node-gpu.js passed: face descriptor -2022-08-19 09:13:58 STATE: test-node-gpu.js passed: face similarity {"similarity":[1,0.447238756461232,0.556914029877052],"descriptors":[1024,1024,1024]} -2022-08-19 09:13:58 INFO:  test-node-gpu.js test object -2022-08-19 09:13:58 STATE: test-node-gpu.js start object -2022-08-19 09:13:58 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796928} -2022-08-19 09:13:58 STATE: test-node-gpu.js event: image -2022-08-19 09:13:58 STATE: test-node-gpu.js event: detect -2022-08-19 09:13:58 STATE: test-node-gpu.js passed: detect: samples/in/ai-body.jpg object -2022-08-19 09:13:58 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 1 gesture: 7 object: 1 person: 1 {"score":1,"age":23.7,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} -2022-08-19 09:13:58 DATA:  test-node-gpu.js result: performance: load: null total: 187 -2022-08-19 09:13:58 STATE: test-node-gpu.js passed: centernet -2022-08-19 09:13:58 STATE: test-node-gpu.js start object -2022-08-19 09:13:59 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796928} -2022-08-19 09:13:59 STATE: test-node-gpu.js event: image -2022-08-19 09:14:00 STATE: test-node-gpu.js event: detect -2022-08-19 09:14:00 STATE: test-node-gpu.js passed: detect: samples/in/ai-body.jpg object -2022-08-19 09:14:00 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 1 gesture: 7 object: 3 person: 1 {"score":1,"age":23.7,"gender":"female"} {"score":0.86,"class":"person"} {"score":0.92,"keypoints":17} -2022-08-19 09:14:00 DATA:  test-node-gpu.js result: performance: load: null total: 469 -2022-08-19 09:14:00 STATE: test-node-gpu.js passed: nanodet -2022-08-19 09:14:00 INFO:  test-node-gpu.js test sensitive -2022-08-19 09:14:00 STATE: test-node-gpu.js start sensitive -2022-08-19 09:14:00 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796928} -2022-08-19 09:14:00 STATE: test-node-gpu.js event: image -2022-08-19 09:14:00 STATE: test-node-gpu.js event: detect -2022-08-19 09:14:00 STATE: test-node-gpu.js passed: detect: samples/in/ai-body.jpg sensitive -2022-08-19 09:14:00 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 2 gesture: 9 object: 0 person: 1 {"score":1,"age":23.7,"gender":"female"} {} {"score":0.92,"keypoints":17} -2022-08-19 09:14:00 DATA:  test-node-gpu.js result: performance: load: null total: 125 -2022-08-19 09:14:00 STATE: test-node-gpu.js passed: sensitive result match -2022-08-19 09:14:00 STATE: test-node-gpu.js passed: sensitive face result match -2022-08-19 09:14:00 STATE: test-node-gpu.js passed: sensitive face emotion result [{"score":0.59,"emotion":"angry"},{"score":0.29,"emotion":"fear"}] -2022-08-19 09:14:00 STATE: test-node-gpu.js passed: sensitive body result match -2022-08-19 09:14:00 STATE: test-node-gpu.js passed: sensitive hand result match -2022-08-19 09:14:00 INFO:  test-node-gpu.js test body -2022-08-19 09:14:00 STATE: test-node-gpu.js start blazepose -2022-08-19 09:14:01 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796928} -2022-08-19 09:14:01 STATE: test-node-gpu.js event: image -2022-08-19 09:14:02 STATE: test-node-gpu.js event: detect -2022-08-19 09:14:02 STATE: test-node-gpu.js passed: detect: samples/in/ai-body.jpg blazepose -2022-08-19 09:14:02 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 2 gesture: 9 object: 0 person: 1 {"score":1,"age":23.7,"gender":"female"} {} {"score":0.99,"keypoints":39} -2022-08-19 09:14:02 DATA:  test-node-gpu.js result: performance: load: null total: 253 -2022-08-19 09:14:02 STATE: test-node-gpu.js passed: blazepose -2022-08-19 09:14:02 STATE: test-node-gpu.js start efficientpose -2022-08-19 09:14:02 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796928} -2022-08-19 09:14:02 STATE: test-node-gpu.js event: image -2022-08-19 09:14:03 STATE: test-node-gpu.js event: detect -2022-08-19 09:14:03 STATE: test-node-gpu.js passed: detect: samples/in/ai-body.jpg efficientpose -2022-08-19 09:14:03 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 2 gesture: 9 object: 0 person: 1 {"score":1,"age":23.7,"gender":"female"} {} {"score":0.75,"keypoints":13} -2022-08-19 09:14:03 DATA:  test-node-gpu.js result: performance: load: null total: 841 -2022-08-19 09:14:03 STATE: test-node-gpu.js passed: efficientpose -2022-08-19 09:14:03 STATE: test-node-gpu.js start posenet -2022-08-19 09:14:04 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796928} -2022-08-19 09:14:04 STATE: test-node-gpu.js event: image -2022-08-19 09:14:04 STATE: test-node-gpu.js event: detect -2022-08-19 09:14:04 STATE: test-node-gpu.js passed: detect: samples/in/ai-body.jpg posenet -2022-08-19 09:14:04 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 2 gesture: 9 object: 0 person: 1 {"score":1,"age":23.7,"gender":"female"} {} {"score":0.96,"keypoints":16} -2022-08-19 09:14:04 DATA:  test-node-gpu.js result: performance: load: null total: 134 -2022-08-19 09:14:04 STATE: test-node-gpu.js passed: posenet -2022-08-19 09:14:04 STATE: test-node-gpu.js start movenet -2022-08-19 09:14:04 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796928} -2022-08-19 09:14:04 STATE: test-node-gpu.js event: image -2022-08-19 09:14:04 STATE: test-node-gpu.js event: detect -2022-08-19 09:14:04 STATE: test-node-gpu.js passed: detect: samples/in/ai-body.jpg movenet -2022-08-19 09:14:04 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 2 gesture: 9 object: 0 person: 1 {"score":1,"age":23.7,"gender":"female"} {} {"score":0.92,"keypoints":17} -2022-08-19 09:14:04 DATA:  test-node-gpu.js result: performance: load: null total: 107 -2022-08-19 09:14:04 STATE: test-node-gpu.js passed: movenet -2022-08-19 09:14:04 INFO:  test-node-gpu.js test face matching -2022-08-19 09:14:04 STATE: test-node-gpu.js passed: face database 40 -2022-08-19 09:14:04 STATE: test-node-gpu.js passed: face match {"first":{"index":4,"similarity":0.7828184453007331}} {"second":{"index":4,"similarity":0.5001334216773398}} {"third":{"index":4,"similarity":0.5403054967489764}} -2022-08-19 09:14:04 INFO:  test-node-gpu.js test face similarity alternative -2022-08-19 09:14:04 STATE: test-node-gpu.js start face embeddings -2022-08-19 09:14:04 STATE: test-node-gpu.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34696120} -2022-08-19 09:14:04 STATE: test-node-gpu.js event: image -2022-08-19 09:14:04 STATE: test-node-gpu.js event: detect -2022-08-19 09:14:04 STATE: test-node-gpu.js passed: detect: samples/in/ai-face.jpg face embeddings -2022-08-19 09:14:04 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 2 gesture: 8 object: 0 person: 1 {"score":1,"age":23.5,"gender":"female"} {} {"score":0.47,"keypoints":3} -2022-08-19 09:14:04 DATA:  test-node-gpu.js result: performance: load: null total: 155 -2022-08-19 09:14:04 STATE: test-node-gpu.js passed: mobilefacenet {"embedding":192} -2022-08-19 09:14:04 STATE: test-node-gpu.js start face embeddings -2022-08-19 09:14:05 STATE: test-node-gpu.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34696120} -2022-08-19 09:14:05 STATE: test-node-gpu.js event: image -2022-08-19 09:14:05 STATE: test-node-gpu.js event: detect -2022-08-19 09:14:05 STATE: test-node-gpu.js passed: detect: samples/in/ai-face.jpg face embeddings -2022-08-19 09:14:05 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 2 gesture: 8 object: 0 person: 1 {"score":1,"age":23.5,"gender":"female"} {} {"score":0.47,"keypoints":3} -2022-08-19 09:14:05 DATA:  test-node-gpu.js result: performance: load: null total: 181 -2022-08-19 09:14:05 STATE: test-node-gpu.js passed: insightface {"embedding":512} -2022-08-19 09:14:05 INFO:  test-node-gpu.js test face attention -2022-08-19 09:14:05 STATE: test-node-gpu.js start face attention -2022-08-19 09:14:05 STATE: test-node-gpu.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34696120} -2022-08-19 09:14:05 STATE: test-node-gpu.js event: image -2022-08-19 09:14:06 STATE: test-node-gpu.js event: detect -2022-08-19 09:14:06 STATE: test-node-gpu.js passed: detect: samples/in/ai-face.jpg face attention -2022-08-19 09:14:06 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 2 gesture: 8 object: 0 person: 1 {"score":1,"age":23.5,"gender":"female"} {} {"score":0.47,"keypoints":3} -2022-08-19 09:14:06 DATA:  test-node-gpu.js result: performance: load: null total: 224 -2022-08-19 09:14:06 STATE: test-node-gpu.js passed: face attention -2022-08-19 09:14:06 INFO:  test-node-gpu.js test detectors -2022-08-19 09:14:06 STATE: test-node-gpu.js start detectors -2022-08-19 09:14:06 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796928} -2022-08-19 09:14:06 STATE: test-node-gpu.js event: image -2022-08-19 09:14:06 STATE: test-node-gpu.js event: detect -2022-08-19 09:14:06 STATE: test-node-gpu.js passed: detect: samples/in/ai-body.jpg detectors -2022-08-19 09:14:06 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 1 gesture: 0 object: 0 person: 1 {"score":0.93,"gender":"unknown"} {} {"score":0.92,"keypoints":17} -2022-08-19 09:14:06 DATA:  test-node-gpu.js result: performance: load: null total: 59 -2022-08-19 09:14:06 STATE: test-node-gpu.js passed: detector result face match -2022-08-19 09:14:06 STATE: test-node-gpu.js passed: detector result hand match -2022-08-19 09:14:06 INFO:  test-node-gpu.js test: multi-instance -2022-08-19 09:14:06 STATE: test-node-gpu.js start multi instance -2022-08-19 09:14:06 STATE: test-node-gpu.js event: image -2022-08-19 09:14:06 STATE: test-node-gpu.js event: detect -2022-08-19 09:14:06 STATE: test-node-gpu.js passed: detect: random multi instance -2022-08-19 09:14:06 DATA:  test-node-gpu.js result: face: 0 body: 1 hand: 0 gesture: 0 object: 0 person: 0 {} {} {"score":0,"keypoints":0} -2022-08-19 09:14:06 DATA:  test-node-gpu.js result: performance: load: null total: 53 -2022-08-19 09:14:06 INFO:  test-node-gpu.js test: first instance -2022-08-19 09:14:06 STATE: test-node-gpu.js start multi instance -2022-08-19 09:14:06 STATE: test-node-gpu.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151289056} -2022-08-19 09:14:06 STATE: test-node-gpu.js passed: detect: samples/in/ai-upper.jpg multi instance -2022-08-19 09:14:06 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 0 gesture: 0 object: 0 person: 1 {"score":0.96,"gender":"unknown"} {} {"score":0.75,"keypoints":7} -2022-08-19 09:14:06 DATA:  test-node-gpu.js result: performance: load: null total: 45 -2022-08-19 09:14:06 INFO:  test-node-gpu.js test: second instance -2022-08-19 09:14:06 STATE: test-node-gpu.js start multi instance -2022-08-19 09:14:06 STATE: test-node-gpu.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151289056} -2022-08-19 09:14:06 STATE: test-node-gpu.js passed: detect: samples/in/ai-upper.jpg multi instance -2022-08-19 09:14:06 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 0 gesture: 0 object: 0 person: 1 {"score":0.96,"gender":"unknown"} {} {"score":0.75,"keypoints":7} -2022-08-19 09:14:06 DATA:  test-node-gpu.js result: performance: load: null total: 49 -2022-08-19 09:14:06 INFO:  test-node-gpu.js test: concurrent -2022-08-19 09:14:06 STATE: test-node-gpu.js start concurrent -2022-08-19 09:14:06 STATE: test-node-gpu.js start concurrent -2022-08-19 09:14:06 STATE: test-node-gpu.js start concurrent -2022-08-19 09:14:06 STATE: test-node-gpu.js start concurrent -2022-08-19 09:14:06 STATE: test-node-gpu.js start concurrent -2022-08-19 09:14:06 STATE: test-node-gpu.js start concurrent -2022-08-19 09:14:06 STATE: test-node-gpu.js start concurrent -2022-08-19 09:14:06 STATE: test-node-gpu.js start concurrent -2022-08-19 09:14:06 STATE: test-node-gpu.js start concurrent -2022-08-19 09:14:06 STATE: test-node-gpu.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34696120} -2022-08-19 09:14:06 STATE: test-node-gpu.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34696120} -2022-08-19 09:14:06 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796928} -2022-08-19 09:14:07 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796928} -2022-08-19 09:14:07 STATE: test-node-gpu.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151289056} -2022-08-19 09:14:07 STATE: test-node-gpu.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151289056} -2022-08-19 09:14:07 STATE: test-node-gpu.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34696120} -2022-08-19 09:14:07 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796928} -2022-08-19 09:14:07 STATE: test-node-gpu.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151289056} -2022-08-19 09:14:07 STATE: test-node-gpu.js event: image -2022-08-19 09:14:07 STATE: test-node-gpu.js event: image -2022-08-19 09:14:07 STATE: test-node-gpu.js event: image -2022-08-19 09:14:07 STATE: test-node-gpu.js passed: detect: samples/in/ai-upper.jpg concurrent -2022-08-19 09:14:07 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 0 gesture: 0 object: 0 person: 1 {"score":0.96,"gender":"unknown"} {} {"score":0.75,"keypoints":7} -2022-08-19 09:14:07 DATA:  test-node-gpu.js result: performance: load: null total: 699 -2022-08-19 09:14:07 STATE: test-node-gpu.js passed: detect: samples/in/ai-upper.jpg concurrent -2022-08-19 09:14:07 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 0 gesture: 0 object: 0 person: 1 {"score":0.96,"gender":"unknown"} {} {"score":0.75,"keypoints":7} -2022-08-19 09:14:07 DATA:  test-node-gpu.js result: performance: load: null total: 699 -2022-08-19 09:14:07 STATE: test-node-gpu.js passed: detect: samples/in/ai-face.jpg concurrent -2022-08-19 09:14:07 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 1 gesture: 0 object: 0 person: 1 {"score":0.91,"gender":"unknown"} {} {"score":0.47,"keypoints":3} -2022-08-19 09:14:07 DATA:  test-node-gpu.js result: performance: load: null total: 699 -2022-08-19 09:14:07 STATE: test-node-gpu.js passed: detect: samples/in/ai-face.jpg concurrent -2022-08-19 09:14:07 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 1 gesture: 0 object: 0 person: 1 {"score":0.91,"gender":"unknown"} {} {"score":0.47,"keypoints":3} -2022-08-19 09:14:07 DATA:  test-node-gpu.js result: performance: load: null total: 699 -2022-08-19 09:14:07 STATE: test-node-gpu.js passed: detect: samples/in/ai-body.jpg concurrent -2022-08-19 09:14:07 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 1 gesture: 0 object: 0 person: 1 {"score":0.93,"gender":"unknown"} {} {"score":0.92,"keypoints":17} -2022-08-19 09:14:07 DATA:  test-node-gpu.js result: performance: load: null total: 699 -2022-08-19 09:14:07 STATE: test-node-gpu.js passed: detect: samples/in/ai-body.jpg concurrent -2022-08-19 09:14:07 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 1 gesture: 0 object: 0 person: 1 {"score":0.93,"gender":"unknown"} {} {"score":0.92,"keypoints":17} -2022-08-19 09:14:07 DATA:  test-node-gpu.js result: performance: load: null total: 699 -2022-08-19 09:14:07 STATE: test-node-gpu.js event: detect -2022-08-19 09:14:07 STATE: test-node-gpu.js passed: detect: samples/in/ai-upper.jpg concurrent -2022-08-19 09:14:07 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 0 gesture: 0 object: 0 person: 1 {"score":0.96,"gender":"unknown"} {} {"score":0.75,"keypoints":7} -2022-08-19 09:14:07 DATA:  test-node-gpu.js result: performance: load: null total: 427 -2022-08-19 09:14:07 STATE: test-node-gpu.js event: detect -2022-08-19 09:14:07 STATE: test-node-gpu.js event: detect -2022-08-19 09:14:07 STATE: test-node-gpu.js passed: detect: samples/in/ai-face.jpg concurrent -2022-08-19 09:14:07 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 1 gesture: 0 object: 0 person: 1 {"score":0.91,"gender":"unknown"} {} {"score":0.47,"keypoints":3} -2022-08-19 09:14:07 DATA:  test-node-gpu.js result: performance: load: null total: 427 -2022-08-19 09:14:07 STATE: test-node-gpu.js passed: detect: samples/in/ai-body.jpg concurrent -2022-08-19 09:14:07 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 1 gesture: 0 object: 0 person: 1 {"score":0.93,"gender":"unknown"} {} {"score":0.92,"keypoints":17} -2022-08-19 09:14:07 DATA:  test-node-gpu.js result: performance: load: null total: 427 -2022-08-19 09:14:07 INFO:  test-node-gpu.js test: monkey-patch -2022-08-19 09:14:07 STATE: test-node-gpu.js event: image -2022-08-19 09:14:08 STATE: test-node-gpu.js event: detect -2022-08-19 09:14:08 STATE: test-node-gpu.js passed: monkey patch -2022-08-19 09:14:08 STATE: test-node-gpu.js passed: segmentation [65536] -2022-08-19 09:14:08 STATE: test-node-gpu.js passeed: equal usage -2022-08-19 09:14:08 INFO:  test-node-gpu.js test: input compare -2022-08-19 09:14:08 STATE: test-node-gpu.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34696120} -2022-08-19 09:14:08 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796928} -2022-08-19 09:14:08 STATE: test-node-gpu.js passed: image compare 0 23.275441687091504 -2022-08-19 09:14:08 INFO:  test-node-gpu.js events: {"image":29,"detect":29,"warmup":2} -2022-08-19 09:14:08 INFO:  test-node-gpu.js tensors 4105 -2022-08-19 09:14:08 INFO:  test-node-gpu.js test complete: 19548 ms -2022-08-19 09:14:09 INFO:  -2022-08-19 09:14:09 INFO:  test-node-wasm.js start -2022-08-19 09:14:11 DATA:  test-node-wasm.js stdout: 2022-08-19 09:14:11 INFO:  { supported: true, backend: true, simd: true, multithread: false } -2022-08-19 09:14:11 STATE: test-node-wasm.js passed: model server: https://vladmandic.github.io/human/models/ -2022-08-19 09:14:11 INFO:  test-node-wasm.js test: configuration validation -2022-08-19 09:14:11 STATE: test-node-wasm.js passed: configuration default validation [] -2022-08-19 09:14:11 STATE: test-node-wasm.js passed: configuration invalid validation [{"reason":"unknown property","where":"config.invalid = true"}] -2022-08-19 09:14:11 INFO:  test-node-wasm.js test: model load -2022-08-19 09:14:12 STATE: test-node-wasm.js passed: models loaded 23 12 [{"name":"ssrnetage","loaded":false,"url":null},{"name":"gear","loaded":false,"url":null},{"name":"blazeposedetect","loaded":false,"url":null},{"name":"blazepose","loaded":false,"url":null},{"name":"centernet","loaded":true,"url":"https://vladmandic.github.io/human/models/mb3-centernet.json"},{"name":"efficientpose","loaded":false,"url":null},{"name":"mobilefacenet","loaded":false,"url":null},{"name":"insightface","loaded":false,"url":null},{"name":"emotion","loaded":true,"url":"https://vladmandic.github.io/human/models/emotion.json"},{"name":"facedetect","loaded":true,"url":"https://vladmandic.github.io/human/models/blazeface.json"},{"name":"faceiris","loaded":true,"url":"https://vladmandic.github.io/human/models/iris.json"},{"name":"facemesh","loaded":true,"url":"https://vladmandic.github.io/human/models/facemesh.json"},{"name":"faceres","loaded":true,"url":"https://vladmandic.github.io/human/models/faceres.json"},{"name":"ssrnetgender","loaded":false,"url":null},{"name":"handpose","loaded":false,"url":null},{"name":"handskeleton","loaded":true,"url":"https://vladmandic.github.io/human/models/handlandmark-full.json"},{"name":"handtrack","loaded":true,"url":"https://vladmandic.github.io/human/models/handtrack.json"},{"name":"liveness","loaded":true,"url":"https://vladmandic.github.io/human/models/liveness.json"},{"name":"movenet","loaded":true,"url":"https://vladmandic.github.io/human/models/movenet-lightning.json"},{"name":"nanodet","loaded":false,"url":null},{"name":"posenet","loaded":false,"url":null},{"name":"segmentation","loaded":true,"url":"https://vladmandic.github.io/human/models/selfie.json"},{"name":"antispoof","loaded":true,"url":"https://vladmandic.github.io/human/models/antispoof.json"}] -2022-08-19 09:14:12 INFO:  test-node-wasm.js test: warmup -2022-08-19 09:14:12 STATE: test-node-wasm.js passed: create human -2022-08-19 09:14:12 INFO:  test-node-wasm.js human version: 2.9.3 -2022-08-19 09:14:12 INFO:  test-node-wasm.js platform: linux x64 agent: NodeJS v18.1.0 -2022-08-19 09:14:12 INFO:  test-node-wasm.js tfjs version: 3.19.0 -2022-08-19 09:14:12 INFO:  test-node-wasm.js env: {"browser":false,"node":true,"platform":"linux x64","agent":"NodeJS v18.1.0","backends":["cpu","wasm"],"initial":false,"tfjs":{"version":"3.19.0"},"offscreen":false,"perfadd":false,"tensorflow":{},"wasm":{"supported":true,"backend":true,"simd":true,"multithread":false},"webgl":{"supported":false,"backend":false},"webgpu":{"supported":false,"backend":false},"cpu":{"flags":[]},"kernels":126} -2022-08-19 09:14:12 STATE: test-node-wasm.js passed: set backend: wasm -2022-08-19 09:14:12 STATE: test-node-wasm.js tensors 1921 -2022-08-19 09:14:12 STATE: test-node-wasm.js passed: load models -2022-08-19 09:14:12 STATE: test-node-wasm.js result: defined models: 23 loaded models: 12 -2022-08-19 09:14:12 STATE: test-node-wasm.js passed: warmup: none default -2022-08-19 09:14:12 DATA:  test-node-wasm.js result: face: 0 body: 0 hand: 0 gesture: 0 object: 0 person: 0 {} {} {} -2022-08-19 09:14:12 DATA:  test-node-wasm.js result: performance: load: null total: null -2022-08-19 09:14:12 STATE: test-node-wasm.js passed: warmup none result match -2022-08-19 09:14:12 STATE: test-node-wasm.js event: image -2022-08-19 09:14:13 STATE: test-node-wasm.js event: detect -2022-08-19 09:14:13 STATE: test-node-wasm.js event: warmup -2022-08-19 09:14:13 STATE: test-node-wasm.js passed: warmup: face default -2022-08-19 09:14:13 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 1 gesture: 6 object: 1 person: 1 {"score":1,"age":23.5,"gender":"female"} {"score":0.82,"class":"person"} {"score":0.47,"keypoints":3} -2022-08-19 09:14:13 DATA:  test-node-wasm.js result: performance: load: null total: 502 -2022-08-19 09:14:13 STATE: test-node-wasm.js passed: warmup face result match -2022-08-19 09:14:13 STATE: test-node-wasm.js event: image -2022-08-19 09:14:13 STATE: test-node-wasm.js event: detect -2022-08-19 09:14:13 STATE: test-node-wasm.js event: warmup -2022-08-19 09:14:13 STATE: test-node-wasm.js passed: warmup: body default -2022-08-19 09:14:13 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 1 gesture: 7 object: 1 person: 1 {"score":1,"age":23.7,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} -2022-08-19 09:14:13 DATA:  test-node-wasm.js result: performance: load: null total: 357 -2022-08-19 09:14:13 STATE: test-node-wasm.js passed: warmup body result match -2022-08-19 09:14:13 STATE: test-node-wasm.js details: {"face":{"boxScore":0.93,"faceScore":1,"age":23.7,"gender":"female","genderScore":0.97},"emotion":[{"score":0.59,"emotion":"angry"},{"score":0.29,"emotion":"fear"}],"body":{"score":0.92,"keypoints":17},"hand":{"boxScore":0.51,"fingerScore":0.73,"keypoints":21},"gestures":[{"face":0,"gesture":"facing right"},{"face":0,"gesture":"mouth 21% open"},{"hand":0,"gesture":"pinky forward"},{"hand":0,"gesture":"palm up"},{"hand":0,"gesture":"open palm"},{"iris":0,"gesture":"looking left"},{"iris":0,"gesture":"looking up"}]} -2022-08-19 09:14:13 INFO:  test-node-wasm.js test: details verification -2022-08-19 09:14:13 STATE: test-node-wasm.js start default -2022-08-19 09:14:14 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1038921856} -2022-08-19 09:14:14 STATE: test-node-wasm.js event: image -2022-08-19 09:14:14 STATE: test-node-wasm.js event: detect -2022-08-19 09:14:14 STATE: test-node-wasm.js passed: detect: samples/in/ai-body.jpg default -2022-08-19 09:14:14 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 1 gesture: 7 object: 1 person: 1 {"score":1,"age":23.7,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} -2022-08-19 09:14:14 DATA:  test-node-wasm.js result: performance: load: null total: 336 -2022-08-19 09:14:14 STATE: test-node-wasm.js passed: details face length 1 -2022-08-19 09:14:14 STATE: test-node-wasm.js passed: details face score 1 0.93 1 -2022-08-19 09:14:14 STATE: test-node-wasm.js passed: details face age/gender 23.7 female 0.97 85.47 -2022-08-19 09:14:14 STATE: test-node-wasm.js passed: details face arrays 4 478 1024 -2022-08-19 09:14:14 STATE: test-node-wasm.js passed: details face emotion 2 {"score":0.59,"emotion":"angry"} -2022-08-19 09:14:14 STATE: test-node-wasm.js passed: details face anti-spoofing 0.79 -2022-08-19 09:14:14 STATE: test-node-wasm.js passed: details face liveness 0.83 -2022-08-19 09:14:14 STATE: test-node-wasm.js passed: details body length 1 -2022-08-19 09:14:14 STATE: test-node-wasm.js passed: details body 0.92 17 6 -2022-08-19 09:14:14 STATE: test-node-wasm.js passed: details hand length 1 -2022-08-19 09:14:14 STATE: test-node-wasm.js passed: details hand 0.51 0.73 point -2022-08-19 09:14:14 STATE: test-node-wasm.js passed: details hand arrays 21 5 7 -2022-08-19 09:14:14 STATE: test-node-wasm.js passed: details gesture length 7 -2022-08-19 09:14:14 STATE: test-node-wasm.js passed: details gesture first {"face":0,"gesture":"facing right"} -2022-08-19 09:14:14 STATE: test-node-wasm.js passed: details object length 1 -2022-08-19 09:14:14 STATE: test-node-wasm.js passed: details object 0.72 person -2022-08-19 09:14:14 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,4] {"checksum":1413675264} -2022-08-19 09:14:14 STATE: test-node-wasm.js event: image -2022-08-19 09:14:14 STATE: test-node-wasm.js event: detect -2022-08-19 09:14:14 STATE: test-node-wasm.js passed: tensor shape: [1,1200,1200,4] dtype: float32 -2022-08-19 09:14:15 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1200,1200,4] {"checksum":1413675264} -2022-08-19 09:14:15 STATE: test-node-wasm.js event: image -2022-08-19 09:14:15 STATE: test-node-wasm.js event: detect -2022-08-19 09:14:15 STATE: test-node-wasm.js passed: tensor shape: [1200,1200,4] dtype: float32 -2022-08-19 09:14:15 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1038921856} -2022-08-19 09:14:15 STATE: test-node-wasm.js event: image -2022-08-19 09:14:16 STATE: test-node-wasm.js event: detect -2022-08-19 09:14:16 STATE: test-node-wasm.js passed: tensor shape: [1,1200,1200,3] dtype: float32 -2022-08-19 09:14:16 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1200,1200,3] {"checksum":1038921856} -2022-08-19 09:14:16 STATE: test-node-wasm.js event: image -2022-08-19 09:14:16 STATE: test-node-wasm.js event: detect -2022-08-19 09:14:16 STATE: test-node-wasm.js passed: tensor shape: [1200,1200,3] dtype: float32 -2022-08-19 09:14:16 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,4] {"checksum":1371996871} -2022-08-19 09:14:16 STATE: test-node-wasm.js event: image -2022-08-19 09:14:17 STATE: test-node-wasm.js event: detect -2022-08-19 09:14:17 STATE: test-node-wasm.js passed: tensor shape: [1,1200,1200,4] dtype: int32 -2022-08-19 09:14:17 INFO:  test-node-wasm.js test default -2022-08-19 09:14:17 STATE: test-node-wasm.js start async -2022-08-19 09:14:17 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1038921856} -2022-08-19 09:14:17 STATE: test-node-wasm.js event: image -2022-08-19 09:14:17 STATE: test-node-wasm.js event: detect -2022-08-19 09:14:17 STATE: test-node-wasm.js passed: detect: samples/in/ai-body.jpg async -2022-08-19 09:14:17 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 1 gesture: 8 object: 1 person: 1 {"score":1,"age":29.6,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} -2022-08-19 09:14:17 DATA:  test-node-wasm.js result: performance: load: null total: 356 -2022-08-19 09:14:17 STATE: test-node-wasm.js passed: default result face match 1 female 0.97 -2022-08-19 09:14:17 INFO:  test-node-wasm.js test sync -2022-08-19 09:14:17 STATE: test-node-wasm.js start sync -2022-08-19 09:14:18 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1038921856} -2022-08-19 09:14:18 STATE: test-node-wasm.js event: image -2022-08-19 09:14:18 STATE: test-node-wasm.js event: detect -2022-08-19 09:14:18 STATE: test-node-wasm.js passed: detect: samples/in/ai-body.jpg sync -2022-08-19 09:14:18 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 1 gesture: 8 object: 1 person: 1 {"score":1,"age":29.6,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} -2022-08-19 09:14:18 DATA:  test-node-wasm.js result: performance: load: null total: 323 -2022-08-19 09:14:18 STATE: test-node-wasm.js passed: default sync 1 female 0.97 -2022-08-19 09:14:18 INFO:  test-node-wasm.js test: image process -2022-08-19 09:14:18 STATE: test-node-wasm.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34697856} -2022-08-19 09:14:18 STATE: test-node-wasm.js passed: image input null [1,256,256,3] -2022-08-19 09:14:18 INFO:  test-node-wasm.js test: image null -2022-08-19 09:14:18 STATE: test-node-wasm.js passed: invalid input could not convert input to tensor -2022-08-19 09:14:18 INFO:  test-node-wasm.js test face similarity -2022-08-19 09:14:18 STATE: test-node-wasm.js start face similarity -2022-08-19 09:14:18 STATE: test-node-wasm.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34697856} -2022-08-19 09:14:18 STATE: test-node-wasm.js event: image -2022-08-19 09:14:18 STATE: test-node-wasm.js event: detect -2022-08-19 09:14:18 STATE: test-node-wasm.js passed: detect: samples/in/ai-face.jpg face similarity -2022-08-19 09:14:18 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 1 gesture: 6 object: 1 person: 1 {"score":1,"age":23.5,"gender":"female"} {"score":0.82,"class":"person"} {"score":0.47,"keypoints":3} -2022-08-19 09:14:18 DATA:  test-node-wasm.js result: performance: load: null total: 310 -2022-08-19 09:14:18 STATE: test-node-wasm.js start face similarity -2022-08-19 09:14:18 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1038921856} -2022-08-19 09:14:18 STATE: test-node-wasm.js event: image -2022-08-19 09:14:19 STATE: test-node-wasm.js event: detect -2022-08-19 09:14:19 STATE: test-node-wasm.js passed: detect: samples/in/ai-body.jpg face similarity -2022-08-19 09:14:19 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 1 gesture: 8 object: 1 person: 1 {"score":1,"age":29.6,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} -2022-08-19 09:14:19 DATA:  test-node-wasm.js result: performance: load: null total: 360 -2022-08-19 09:14:19 STATE: test-node-wasm.js start face similarity -2022-08-19 09:14:19 STATE: test-node-wasm.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151155104} -2022-08-19 09:14:19 STATE: test-node-wasm.js event: image -2022-08-19 09:14:19 STATE: test-node-wasm.js event: detect -2022-08-19 09:14:19 STATE: test-node-wasm.js passed: detect: samples/in/ai-upper.jpg face similarity -2022-08-19 09:14:19 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 0 gesture: 4 object: 1 person: 1 {"score":1,"age":23.5,"gender":"female"} {"score":0.71,"class":"person"} {"score":0.75,"keypoints":7} -2022-08-19 09:14:19 DATA:  test-node-wasm.js result: performance: load: null total: 337 -2022-08-19 09:14:19 STATE: test-node-wasm.js passed: face descriptor -2022-08-19 09:14:19 STATE: test-node-wasm.js passed: face similarity {"similarity":[1,0.5266119940661309,0.4858842904087851],"descriptors":[1024,1024,1024]} -2022-08-19 09:14:19 INFO:  test-node-wasm.js test object -2022-08-19 09:14:19 STATE: test-node-wasm.js start object -2022-08-19 09:14:19 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1038921856} -2022-08-19 09:14:19 STATE: test-node-wasm.js event: image -2022-08-19 09:14:20 STATE: test-node-wasm.js event: detect -2022-08-19 09:14:20 STATE: test-node-wasm.js passed: detect: samples/in/ai-body.jpg object -2022-08-19 09:14:20 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 1 gesture: 8 object: 1 person: 1 {"score":1,"age":29.6,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} -2022-08-19 09:14:20 DATA:  test-node-wasm.js result: performance: load: null total: 371 -2022-08-19 09:14:20 STATE: test-node-wasm.js passed: centernet -2022-08-19 09:14:20 STATE: test-node-wasm.js start object -2022-08-19 09:14:20 WARN:  test-node-wasm.js missing kernel ops {"title":"object","model":"nanodet","url":"https://vladmandic.github.io/human-models/models/nanodet.json","missing":["sparsetodense"],"backkend":"wasm"} -2022-08-19 09:14:21 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1038921856} -2022-08-19 09:14:21 STATE: test-node-wasm.js event: image -2022-08-19 09:14:21 STATE: test-node-wasm.js event: detect -2022-08-19 09:14:21 STATE: test-node-wasm.js passed: detect: samples/in/ai-body.jpg object -2022-08-19 09:14:21 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 1 gesture: 8 object: 0 person: 1 {"score":1,"age":29.6,"gender":"female"} {} {"score":0.92,"keypoints":17} -2022-08-19 09:14:21 DATA:  test-node-wasm.js result: performance: load: null total: 266 -2022-08-19 09:14:21 ERROR: test-node-wasm.js failed: nanodet [] -2022-08-19 09:14:21 INFO:  test-node-wasm.js test sensitive -2022-08-19 09:14:21 STATE: test-node-wasm.js start sensitive -2022-08-19 09:14:21 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1038921856} -2022-08-19 09:14:21 STATE: test-node-wasm.js event: image -2022-08-19 09:14:21 STATE: test-node-wasm.js event: detect -2022-08-19 09:14:21 STATE: test-node-wasm.js passed: detect: samples/in/ai-body.jpg sensitive -2022-08-19 09:14:21 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 2 gesture: 10 object: 0 person: 1 {"score":1,"age":29.6,"gender":"female"} {} {"score":0.92,"keypoints":17} -2022-08-19 09:14:21 DATA:  test-node-wasm.js result: performance: load: null total: 288 -2022-08-19 09:14:21 STATE: test-node-wasm.js passed: sensitive result match -2022-08-19 09:14:21 STATE: test-node-wasm.js passed: sensitive face result match -2022-08-19 09:14:21 STATE: test-node-wasm.js passed: sensitive face emotion result [{"score":0.46,"emotion":"neutral"},{"score":0.24,"emotion":"fear"},{"score":0.17,"emotion":"sad"}] -2022-08-19 09:14:21 STATE: test-node-wasm.js passed: sensitive body result match -2022-08-19 09:14:21 STATE: test-node-wasm.js passed: sensitive hand result match -2022-08-19 09:14:21 INFO:  test-node-wasm.js test body -2022-08-19 09:14:21 STATE: test-node-wasm.js start blazepose -2022-08-19 09:14:23 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1038921856} -2022-08-19 09:14:23 STATE: test-node-wasm.js event: image -2022-08-19 09:14:23 STATE: test-node-wasm.js event: detect -2022-08-19 09:14:23 STATE: test-node-wasm.js passed: detect: samples/in/ai-body.jpg blazepose -2022-08-19 09:14:23 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 2 gesture: 10 object: 0 person: 1 {"score":1,"age":29.6,"gender":"female"} {} {"score":0.99,"keypoints":39} -2022-08-19 09:14:23 DATA:  test-node-wasm.js result: performance: load: null total: 410 -2022-08-19 09:14:23 STATE: test-node-wasm.js passed: blazepose -2022-08-19 09:14:23 STATE: test-node-wasm.js start efficientpose -2022-08-19 09:14:24 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1038921856} -2022-08-19 09:14:24 STATE: test-node-wasm.js event: image -2022-08-19 09:14:25 STATE: test-node-wasm.js event: detect -2022-08-19 09:14:25 STATE: test-node-wasm.js passed: detect: samples/in/ai-body.jpg efficientpose -2022-08-19 09:14:25 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 2 gesture: 10 object: 0 person: 1 {"score":1,"age":29.6,"gender":"female"} {} {"score":0.75,"keypoints":13} -2022-08-19 09:14:25 DATA:  test-node-wasm.js result: performance: load: null total: 643 -2022-08-19 09:14:25 STATE: test-node-wasm.js passed: efficientpose -2022-08-19 09:14:25 STATE: test-node-wasm.js start posenet -2022-08-19 09:14:25 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1038921856} -2022-08-19 09:14:25 STATE: test-node-wasm.js event: image -2022-08-19 09:14:25 STATE: test-node-wasm.js event: detect -2022-08-19 09:14:25 STATE: test-node-wasm.js passed: detect: samples/in/ai-body.jpg posenet -2022-08-19 09:14:25 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 2 gesture: 10 object: 0 person: 1 {"score":1,"age":29.6,"gender":"female"} {} {"score":0.96,"keypoints":16} -2022-08-19 09:14:25 DATA:  test-node-wasm.js result: performance: load: null total: 291 -2022-08-19 09:14:25 STATE: test-node-wasm.js passed: posenet -2022-08-19 09:14:25 STATE: test-node-wasm.js start movenet -2022-08-19 09:14:26 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1038921856} -2022-08-19 09:14:26 STATE: test-node-wasm.js event: image -2022-08-19 09:14:26 STATE: test-node-wasm.js event: detect -2022-08-19 09:14:26 STATE: test-node-wasm.js passed: detect: samples/in/ai-body.jpg movenet -2022-08-19 09:14:26 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 2 gesture: 10 object: 0 person: 1 {"score":1,"age":29.6,"gender":"female"} {} {"score":0.92,"keypoints":17} -2022-08-19 09:14:26 DATA:  test-node-wasm.js result: performance: load: null total: 236 -2022-08-19 09:14:26 STATE: test-node-wasm.js passed: movenet -2022-08-19 09:14:26 INFO:  test-node-wasm.js test face matching -2022-08-19 09:14:26 STATE: test-node-wasm.js passed: face database 40 -2022-08-19 09:14:26 STATE: test-node-wasm.js passed: face match {"first":{"index":4,"similarity":0.7827852754786533}} {"second":{"index":4,"similarity":0.5660821189104794}} {"third":{"index":4,"similarity":0.45074189882665594}} -2022-08-19 09:14:26 INFO:  test-node-wasm.js test face similarity alternative -2022-08-19 09:14:26 STATE: test-node-wasm.js start face embeddings -2022-08-19 09:14:26 STATE: test-node-wasm.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34697856} -2022-08-19 09:14:26 STATE: test-node-wasm.js event: image -2022-08-19 09:14:27 STATE: test-node-wasm.js event: detect -2022-08-19 09:14:27 STATE: test-node-wasm.js passed: detect: samples/in/ai-face.jpg face embeddings -2022-08-19 09:14:27 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 2 gesture: 8 object: 0 person: 1 {"score":1,"age":23.5,"gender":"female"} {} {"score":0.47,"keypoints":3} -2022-08-19 09:14:27 DATA:  test-node-wasm.js result: performance: load: null total: 245 -2022-08-19 09:14:27 STATE: test-node-wasm.js passed: mobilefacenet {"embedding":192} -2022-08-19 09:14:27 STATE: test-node-wasm.js start face embeddings -2022-08-19 09:14:27 STATE: test-node-wasm.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34697856} -2022-08-19 09:14:27 STATE: test-node-wasm.js event: image -2022-08-19 09:14:28 STATE: test-node-wasm.js event: detect -2022-08-19 09:14:28 STATE: test-node-wasm.js passed: detect: samples/in/ai-face.jpg face embeddings -2022-08-19 09:14:28 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 2 gesture: 8 object: 0 person: 1 {"score":1,"age":23.5,"gender":"female"} {} {"score":0.47,"keypoints":3} -2022-08-19 09:14:28 DATA:  test-node-wasm.js result: performance: load: null total: 291 -2022-08-19 09:14:28 STATE: test-node-wasm.js passed: insightface {"embedding":512} -2022-08-19 09:14:28 INFO:  test-node-wasm.js test face attention -2022-08-19 09:14:28 STATE: test-node-wasm.js start face attention -2022-08-19 09:14:28 WARN:  test-node-wasm.js missing kernel ops {"title":"face attention","model":"facemesh","url":"https://vladmandic.github.io/human-models/models/facemesh-attention.json","missing":["atan2"],"backkend":"wasm"} -2022-08-19 09:14:28 STATE: test-node-wasm.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34697856} -2022-08-19 09:14:28 STATE: test-node-wasm.js event: image -2022-08-19 09:14:28 STATE: test-node-wasm.js event: detect -2022-08-19 09:14:28 STATE: test-node-wasm.js passed: detect: samples/in/ai-face.jpg face attention -2022-08-19 09:14:28 DATA:  test-node-wasm.js result: face: 0 body: 1 hand: 1 gesture: 2 object: 0 person: 0 {} {} {"score":0.47,"keypoints":3} -2022-08-19 09:14:28 DATA:  test-node-wasm.js result: performance: load: null total: 124 -2022-08-19 09:14:28 ERROR: test-node-wasm.js failed: face attention {"annotations":0} -2022-08-19 09:14:28 INFO:  test-node-wasm.js test detectors -2022-08-19 09:14:28 STATE: test-node-wasm.js start detectors -2022-08-19 09:14:28 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1038921856} -2022-08-19 09:14:28 STATE: test-node-wasm.js event: image -2022-08-19 09:14:28 STATE: test-node-wasm.js event: detect -2022-08-19 09:14:28 STATE: test-node-wasm.js passed: detect: samples/in/ai-body.jpg detectors -2022-08-19 09:14:28 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 1 gesture: 0 object: 0 person: 1 {"score":0.93,"gender":"unknown"} {} {"score":0.92,"keypoints":17} -2022-08-19 09:14:28 DATA:  test-node-wasm.js result: performance: load: null total: 130 -2022-08-19 09:14:28 STATE: test-node-wasm.js passed: detector result face match -2022-08-19 09:14:28 STATE: test-node-wasm.js passed: detector result hand match -2022-08-19 09:14:28 INFO:  test-node-wasm.js test: multi-instance -2022-08-19 09:14:28 STATE: test-node-wasm.js start multi instance -2022-08-19 09:14:28 STATE: test-node-wasm.js event: image -2022-08-19 09:14:28 STATE: test-node-wasm.js event: detect -2022-08-19 09:14:28 STATE: test-node-wasm.js passed: detect: random multi instance -2022-08-19 09:14:28 DATA:  test-node-wasm.js result: face: 0 body: 1 hand: 0 gesture: 0 object: 0 person: 0 {} {} {"score":0,"keypoints":0} -2022-08-19 09:14:28 DATA:  test-node-wasm.js result: performance: load: null total: 109 -2022-08-19 09:14:28 INFO:  test-node-wasm.js test: first instance -2022-08-19 09:14:28 STATE: test-node-wasm.js start multi instance -2022-08-19 09:14:29 STATE: test-node-wasm.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151155104} -2022-08-19 09:14:29 STATE: test-node-wasm.js passed: detect: samples/in/ai-upper.jpg multi instance -2022-08-19 09:14:29 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 0 gesture: 0 object: 0 person: 1 {"score":0.96,"gender":"unknown"} {} {"score":0.75,"keypoints":7} -2022-08-19 09:14:29 DATA:  test-node-wasm.js result: performance: load: null total: 112 -2022-08-19 09:14:29 INFO:  test-node-wasm.js test: second instance -2022-08-19 09:14:29 STATE: test-node-wasm.js start multi instance -2022-08-19 09:14:29 STATE: test-node-wasm.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151155104} -2022-08-19 09:14:29 STATE: test-node-wasm.js passed: detect: samples/in/ai-upper.jpg multi instance -2022-08-19 09:14:29 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 0 gesture: 0 object: 0 person: 1 {"score":0.96,"gender":"unknown"} {} {"score":0.75,"keypoints":7} -2022-08-19 09:14:29 DATA:  test-node-wasm.js result: performance: load: null total: 113 -2022-08-19 09:14:29 INFO:  test-node-wasm.js test: concurrent -2022-08-19 09:14:29 STATE: test-node-wasm.js start concurrent -2022-08-19 09:14:29 STATE: test-node-wasm.js start concurrent -2022-08-19 09:14:29 STATE: test-node-wasm.js start concurrent -2022-08-19 09:14:29 STATE: test-node-wasm.js start concurrent -2022-08-19 09:14:29 STATE: test-node-wasm.js start concurrent -2022-08-19 09:14:29 STATE: test-node-wasm.js start concurrent -2022-08-19 09:14:29 STATE: test-node-wasm.js start concurrent -2022-08-19 09:14:29 STATE: test-node-wasm.js start concurrent -2022-08-19 09:14:29 STATE: test-node-wasm.js start concurrent -2022-08-19 09:14:29 STATE: test-node-wasm.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34697856} -2022-08-19 09:14:29 STATE: test-node-wasm.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34697856} -2022-08-19 09:14:29 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1038921856} -2022-08-19 09:14:29 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1038921856} -2022-08-19 09:14:29 STATE: test-node-wasm.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151155104} -2022-08-19 09:14:30 STATE: test-node-wasm.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151155104} -2022-08-19 09:14:30 STATE: test-node-wasm.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34697856} -2022-08-19 09:14:30 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1038921856} -2022-08-19 09:14:30 STATE: test-node-wasm.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151155104} -2022-08-19 09:14:30 STATE: test-node-wasm.js event: image -2022-08-19 09:14:30 STATE: test-node-wasm.js event: image -2022-08-19 09:14:30 STATE: test-node-wasm.js event: image -2022-08-19 09:14:31 STATE: test-node-wasm.js passed: detect: samples/in/ai-upper.jpg concurrent -2022-08-19 09:14:31 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 0 gesture: 0 object: 0 person: 1 {"score":0.96,"gender":"unknown"} {} {"score":0.75,"keypoints":7} -2022-08-19 09:14:31 DATA:  test-node-wasm.js result: performance: load: null total: 1334 -2022-08-19 09:14:31 STATE: test-node-wasm.js passed: detect: samples/in/ai-upper.jpg concurrent -2022-08-19 09:14:31 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 0 gesture: 0 object: 0 person: 1 {"score":0.96,"gender":"unknown"} {} {"score":0.75,"keypoints":7} -2022-08-19 09:14:31 DATA:  test-node-wasm.js result: performance: load: null total: 1334 -2022-08-19 09:14:31 STATE: test-node-wasm.js passed: detect: samples/in/ai-face.jpg concurrent -2022-08-19 09:14:31 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 1 gesture: 0 object: 0 person: 1 {"score":0.91,"gender":"unknown"} {} {"score":0.47,"keypoints":3} -2022-08-19 09:14:31 DATA:  test-node-wasm.js result: performance: load: null total: 1335 -2022-08-19 09:14:31 STATE: test-node-wasm.js passed: detect: samples/in/ai-face.jpg concurrent -2022-08-19 09:14:31 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 1 gesture: 0 object: 0 person: 1 {"score":0.91,"gender":"unknown"} {} {"score":0.47,"keypoints":3} -2022-08-19 09:14:31 DATA:  test-node-wasm.js result: performance: load: null total: 1335 -2022-08-19 09:14:31 STATE: test-node-wasm.js passed: detect: samples/in/ai-body.jpg concurrent -2022-08-19 09:14:31 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 1 gesture: 0 object: 0 person: 1 {"score":0.93,"gender":"unknown"} {} {"score":0.92,"keypoints":17} -2022-08-19 09:14:31 DATA:  test-node-wasm.js result: performance: load: null total: 1335 -2022-08-19 09:14:31 STATE: test-node-wasm.js passed: detect: samples/in/ai-body.jpg concurrent -2022-08-19 09:14:31 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 1 gesture: 0 object: 0 person: 1 {"score":0.93,"gender":"unknown"} {} {"score":0.92,"keypoints":17} -2022-08-19 09:14:31 DATA:  test-node-wasm.js result: performance: load: null total: 1335 -2022-08-19 09:14:31 STATE: test-node-wasm.js event: detect -2022-08-19 09:14:31 STATE: test-node-wasm.js passed: detect: samples/in/ai-upper.jpg concurrent -2022-08-19 09:14:31 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 0 gesture: 0 object: 0 person: 1 {"score":0.96,"gender":"unknown"} {} {"score":0.75,"keypoints":7} -2022-08-19 09:14:31 DATA:  test-node-wasm.js result: performance: load: null total: 1014 -2022-08-19 09:14:31 STATE: test-node-wasm.js event: detect -2022-08-19 09:14:31 STATE: test-node-wasm.js event: detect -2022-08-19 09:14:31 STATE: test-node-wasm.js passed: detect: samples/in/ai-face.jpg concurrent -2022-08-19 09:14:31 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 1 gesture: 0 object: 0 person: 1 {"score":0.91,"gender":"unknown"} {} {"score":0.47,"keypoints":3} -2022-08-19 09:14:31 DATA:  test-node-wasm.js result: performance: load: null total: 1014 -2022-08-19 09:14:31 STATE: test-node-wasm.js passed: detect: samples/in/ai-body.jpg concurrent -2022-08-19 09:14:31 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 1 gesture: 0 object: 0 person: 1 {"score":0.93,"gender":"unknown"} {} {"score":0.92,"keypoints":17} -2022-08-19 09:14:31 DATA:  test-node-wasm.js result: performance: load: null total: 1014 -2022-08-19 09:14:31 INFO:  test-node-wasm.js test: monkey-patch -2022-08-19 09:14:31 STATE: test-node-wasm.js event: image -2022-08-19 09:14:31 STATE: test-node-wasm.js event: detect -2022-08-19 09:14:31 STATE: test-node-wasm.js passed: monkey patch -2022-08-19 09:14:31 STATE: test-node-wasm.js passed: segmentation [65536] -2022-08-19 09:14:31 STATE: test-node-wasm.js passeed: equal usage -2022-08-19 09:14:31 INFO:  test-node-wasm.js test: input compare -2022-08-19 09:14:31 STATE: test-node-wasm.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34697856} -2022-08-19 09:14:31 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1038921856} -2022-08-19 09:14:31 STATE: test-node-wasm.js passed: image compare 0 23.280073018790848 -2022-08-19 09:14:31 INFO:  test-node-wasm.js events: {"image":29,"detect":29,"warmup":2} -2022-08-19 09:14:31 INFO:  test-node-wasm.js tensors 4107 -2022-08-19 09:14:31 INFO:  test-node-wasm.js test complete: 20364 ms -2022-08-19 09:14:31 STATE: all tests complete -2022-08-19 09:14:31 INFO:  status {"test":"../demo/nodejs/node.js","passed":1,"failed":0} -2022-08-19 09:14:31 INFO:  status {"test":"../demo/nodejs/node-simple.js","passed":1,"failed":0} -2022-08-19 09:14:31 INFO:  status {"test":"../demo/nodejs/node-fetch.js","passed":1,"failed":0} -2022-08-19 09:14:31 INFO:  status {"test":"../demo/nodejs/node-event.js","passed":1,"failed":0} -2022-08-19 09:14:31 INFO:  status {"test":"../demo/nodejs/node-similarity.js","passed":1,"failed":0} -2022-08-19 09:14:31 INFO:  status {"test":"../demo/nodejs/node-canvas.js","passed":1,"failed":0} -2022-08-19 09:14:31 INFO:  status {"test":"../demo/multithread/node-multiprocess.js","passed":1,"failed":0} -2022-08-19 09:14:31 INFO:  status {"test":"test-node.js","passed":125,"failed":0} -2022-08-19 09:14:31 INFO:  status {"test":"test-node-gpu.js","passed":125,"failed":0} -2022-08-19 09:14:31 INFO:  status {"test":"test-node-wasm.js","passed":124,"failed":2} -2022-08-19 09:14:31 INFO:  failures {"count":2} -2022-08-19 09:14:31 WARN:  failed {"test":"test-node-wasm.js","message":["error",["failed: nanodet",[]]]} -2022-08-19 09:14:31 WARN:  failed {"test":"test-node-wasm.js","message":["error",["failed: face attention",{"annotations":0}]]} +2022-08-20 09:36:24 INFO:  @vladmandic/human version 2.9.4 +2022-08-20 09:36:24 INFO:  User: vlado Platform: linux Arch: x64 Node: v18.1.0 +2022-08-20 09:36:24 INFO:  demos: [{"cmd":"../demo/nodejs/node.js","args":[]},{"cmd":"../demo/nodejs/node-simple.js","args":[]},{"cmd":"../demo/nodejs/node-fetch.js","args":[]},{"cmd":"../demo/nodejs/node-event.js","args":["samples/in/ai-body.jpg"]},{"cmd":"../demo/nodejs/node-similarity.js","args":["samples/in/ai-face.jpg","samples/in/ai-upper.jpg"]},{"cmd":"../demo/nodejs/node-canvas.js","args":["samples/in/ai-body.jpg","samples/out/ai-body.jpg"]},{"cmd":"../demo/multithread/node-multiprocess.js","args":[]},{"cmd":"../demo/facematch/node-match.js","args":[]}] +2022-08-20 09:36:24 INFO:  {"cmd":"../demo/nodejs/node.js","args":[]} start +2022-08-20 09:36:25 INFO:  {"cmd":"../demo/nodejs/node-simple.js","args":[]} start +2022-08-20 09:36:26 INFO:  {"cmd":"../demo/nodejs/node-fetch.js","args":[]} start +2022-08-20 09:36:30 INFO:  {"cmd":"../demo/nodejs/node-event.js","args":["samples/in/ai-body.jpg"]} start +2022-08-20 09:36:31 INFO:  {"cmd":"../demo/nodejs/node-similarity.js","args":["samples/in/ai-face.jpg","samples/in/ai-upper.jpg"]} start +2022-08-20 09:36:31 INFO:  {"cmd":"../demo/nodejs/node-canvas.js","args":["samples/in/ai-body.jpg","samples/out/ai-body.jpg"]} start +2022-08-20 09:36:32 INFO:  {"cmd":"../demo/multithread/node-multiprocess.js","args":[]} start +2022-08-20 09:36:33 INFO:  {"cmd":"../demo/facematch/node-match.js","args":[]} start +2022-08-20 09:36:35 INFO:  tests: ["test-node.js","test-node-gpu.js","test-node-wasm.js"] +2022-08-20 09:36:35 INFO:  +2022-08-20 09:36:35 INFO:  test-node.js start +2022-08-20 09:36:35 INFO:  test-node.js test: configuration validation +2022-08-20 09:36:35 STATE: test-node.js passed: configuration default validation [] +2022-08-20 09:36:35 STATE: test-node.js passed: configuration invalid validation [{"reason":"unknown property","where":"config.invalid = true"}] +2022-08-20 09:36:35 INFO:  test-node.js test: model load +2022-08-20 09:36:35 STATE: test-node.js passed: models loaded 23 12 [{"name":"ssrnetage","loaded":false,"url":null},{"name":"gear","loaded":false,"url":null},{"name":"blazeposedetect","loaded":false,"url":null},{"name":"blazepose","loaded":false,"url":null},{"name":"centernet","loaded":true,"url":"file://models/mb3-centernet.json"},{"name":"efficientpose","loaded":false,"url":null},{"name":"mobilefacenet","loaded":false,"url":null},{"name":"insightface","loaded":false,"url":null},{"name":"emotion","loaded":true,"url":"file://models/emotion.json"},{"name":"facedetect","loaded":true,"url":"file://models/blazeface.json"},{"name":"faceiris","loaded":true,"url":"file://models/iris.json"},{"name":"facemesh","loaded":true,"url":"file://models/facemesh.json"},{"name":"faceres","loaded":true,"url":"file://models/faceres.json"},{"name":"ssrnetgender","loaded":false,"url":null},{"name":"handpose","loaded":false,"url":null},{"name":"handskeleton","loaded":true,"url":"file://models/handlandmark-full.json"},{"name":"handtrack","loaded":true,"url":"file://models/handtrack.json"},{"name":"liveness","loaded":true,"url":"file://models/liveness.json"},{"name":"movenet","loaded":true,"url":"file://models/movenet-lightning.json"},{"name":"nanodet","loaded":false,"url":null},{"name":"posenet","loaded":false,"url":null},{"name":"segmentation","loaded":true,"url":"file://models/selfie.json"},{"name":"antispoof","loaded":true,"url":"file://models/antispoof.json"}] +2022-08-20 09:36:35 INFO:  test-node.js test: warmup +2022-08-20 09:36:35 STATE: test-node.js passed: create human +2022-08-20 09:36:35 INFO:  test-node.js human version: 2.9.4 +2022-08-20 09:36:35 INFO:  test-node.js platform: linux x64 agent: NodeJS v18.1.0 +2022-08-20 09:36:35 INFO:  test-node.js tfjs version: 3.19.0 +2022-08-20 09:36:35 INFO:  test-node.js env: {"browser":false,"node":true,"platform":"linux x64","agent":"NodeJS v18.1.0","backends":["cpu","tensorflow"],"initial":false,"tfjs":{"version":"3.19.0"},"offscreen":false,"perfadd":false,"tensorflow":{"version":"2.7.3-dev20220521","gpu":false},"wasm":{"supported":true,"backend":false},"webgl":{"supported":false,"backend":false},"webgpu":{"supported":false,"backend":false},"cpu":{"flags":[]},"kernels":169} +2022-08-20 09:36:35 STATE: test-node.js passed: set backend: tensorflow +2022-08-20 09:36:35 STATE: test-node.js tensors 1921 +2022-08-20 09:36:35 STATE: test-node.js passed: load models +2022-08-20 09:36:35 STATE: test-node.js result: defined models: 23 loaded models: 12 +2022-08-20 09:36:35 STATE: test-node.js passed: warmup: none default +2022-08-20 09:36:35 DATA:  test-node.js result: face: 0 body: 0 hand: 0 gesture: 0 object: 0 person: 0 {} {} {} +2022-08-20 09:36:35 DATA:  test-node.js result: performance: load: null total: null +2022-08-20 09:36:35 STATE: test-node.js passed: warmup none result match +2022-08-20 09:36:35 STATE: test-node.js event: image +2022-08-20 09:36:35 STATE: test-node.js event: detect +2022-08-20 09:36:35 STATE: test-node.js event: warmup +2022-08-20 09:36:35 STATE: test-node.js passed: warmup: face default +2022-08-20 09:36:35 DATA:  test-node.js result: face: 1 body: 1 hand: 1 gesture: 7 object: 1 person: 1 {"score":1,"age":23.5,"gender":"female"} {"score":0.82,"class":"person"} {"score":0.42,"keypoints":4} +2022-08-20 09:36:35 DATA:  test-node.js result: performance: load: null total: 329 +2022-08-20 09:36:35 STATE: test-node.js passed: warmup face result match +2022-08-20 09:36:35 STATE: test-node.js event: image +2022-08-20 09:36:36 STATE: test-node.js event: detect +2022-08-20 09:36:36 STATE: test-node.js event: warmup +2022-08-20 09:36:36 STATE: test-node.js passed: warmup: body default +2022-08-20 09:36:36 DATA:  test-node.js result: face: 1 body: 1 hand: 1 gesture: 7 object: 1 person: 1 {"score":1,"age":23.7,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} +2022-08-20 09:36:36 DATA:  test-node.js result: performance: load: null total: 241 +2022-08-20 09:36:36 STATE: test-node.js passed: warmup body result match +2022-08-20 09:36:36 STATE: test-node.js details: {"face":{"boxScore":0.92,"faceScore":1,"age":23.7,"gender":"female","genderScore":0.97},"emotion":[{"score":0.63,"emotion":"angry"},{"score":0.22,"emotion":"fear"}],"body":{"score":0.92,"keypoints":17},"hand":{"boxScore":0.52,"fingerScore":0.73,"keypoints":21},"gestures":[{"face":0,"gesture":"facing right"},{"face":0,"gesture":"mouth 10% open"},{"hand":0,"gesture":"pinky forward"},{"hand":0,"gesture":"palm up"},{"hand":0,"gesture":"open palm"},{"iris":0,"gesture":"looking left"},{"iris":0,"gesture":"looking up"}]} +2022-08-20 09:36:36 INFO:  test-node.js test: details verification +2022-08-20 09:36:36 STATE: test-node.js start default +2022-08-20 09:36:36 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} +2022-08-20 09:36:36 STATE: test-node.js event: image +2022-08-20 09:36:36 STATE: test-node.js event: detect +2022-08-20 09:36:36 STATE: test-node.js passed: detect: samples/in/ai-body.jpg default +2022-08-20 09:36:36 DATA:  test-node.js result: face: 1 body: 1 hand: 1 gesture: 7 object: 1 person: 1 {"score":1,"age":23.7,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} +2022-08-20 09:36:36 DATA:  test-node.js result: performance: load: null total: 222 +2022-08-20 09:36:36 STATE: test-node.js passed: details face length 1 +2022-08-20 09:36:36 STATE: test-node.js passed: details face score 1 0.93 1 +2022-08-20 09:36:36 STATE: test-node.js passed: details face age/gender 23.7 female 0.97 85.47 +2022-08-20 09:36:36 STATE: test-node.js passed: details face arrays 4 478 1024 +2022-08-20 09:36:36 STATE: test-node.js passed: details face emotion 2 {"score":0.59,"emotion":"angry"} +2022-08-20 09:36:36 STATE: test-node.js passed: details face anti-spoofing 0.79 +2022-08-20 09:36:36 STATE: test-node.js passed: details face liveness 0.83 +2022-08-20 09:36:36 STATE: test-node.js passed: details body length 1 +2022-08-20 09:36:36 STATE: test-node.js passed: details body 0.92 17 6 +2022-08-20 09:36:36 STATE: test-node.js passed: details hand length 1 +2022-08-20 09:36:36 STATE: test-node.js passed: details hand 0.51 0.73 point +2022-08-20 09:36:36 STATE: test-node.js passed: details hand arrays 21 5 7 +2022-08-20 09:36:36 STATE: test-node.js passed: details gesture length 7 +2022-08-20 09:36:36 STATE: test-node.js passed: details gesture first {"face":0,"gesture":"facing right"} +2022-08-20 09:36:36 STATE: test-node.js passed: details object length 1 +2022-08-20 09:36:36 STATE: test-node.js passed: details object 0.72 person +2022-08-20 09:36:36 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,4] {"checksum":1371996928} +2022-08-20 09:36:36 STATE: test-node.js event: image +2022-08-20 09:36:36 STATE: test-node.js event: detect +2022-08-20 09:36:36 STATE: test-node.js passed: tensor shape: [1,1200,1200,4] dtype: float32 +2022-08-20 09:36:37 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1200,1200,4] {"checksum":1371996928} +2022-08-20 09:36:37 STATE: test-node.js event: image +2022-08-20 09:36:37 STATE: test-node.js event: detect +2022-08-20 09:36:37 STATE: test-node.js passed: tensor shape: [1200,1200,4] dtype: float32 +2022-08-20 09:36:37 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} +2022-08-20 09:36:37 STATE: test-node.js event: image +2022-08-20 09:36:37 STATE: test-node.js event: detect +2022-08-20 09:36:37 STATE: test-node.js passed: tensor shape: [1,1200,1200,3] dtype: float32 +2022-08-20 09:36:37 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1200,1200,3] {"checksum":1004796864} +2022-08-20 09:36:37 STATE: test-node.js event: image +2022-08-20 09:36:38 STATE: test-node.js event: detect +2022-08-20 09:36:38 STATE: test-node.js passed: tensor shape: [1200,1200,3] dtype: float32 +2022-08-20 09:36:38 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,4] {"checksum":1371996871} +2022-08-20 09:36:38 STATE: test-node.js event: image +2022-08-20 09:36:38 STATE: test-node.js event: detect +2022-08-20 09:36:38 STATE: test-node.js passed: tensor shape: [1,1200,1200,4] dtype: int32 +2022-08-20 09:36:38 INFO:  test-node.js test default +2022-08-20 09:36:38 STATE: test-node.js start async +2022-08-20 09:36:38 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} +2022-08-20 09:36:38 STATE: test-node.js event: image +2022-08-20 09:36:38 STATE: test-node.js event: detect +2022-08-20 09:36:38 STATE: test-node.js passed: detect: samples/in/ai-body.jpg async +2022-08-20 09:36:38 DATA:  test-node.js result: face: 1 body: 1 hand: 1 gesture: 7 object: 1 person: 1 {"score":1,"age":23.7,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} +2022-08-20 09:36:38 DATA:  test-node.js result: performance: load: null total: 212 +2022-08-20 09:36:38 STATE: test-node.js passed: default result face match 1 female 0.97 +2022-08-20 09:36:38 INFO:  test-node.js test sync +2022-08-20 09:36:38 STATE: test-node.js start sync +2022-08-20 09:36:39 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} +2022-08-20 09:36:39 STATE: test-node.js event: image +2022-08-20 09:36:39 STATE: test-node.js event: detect +2022-08-20 09:36:39 STATE: test-node.js passed: detect: samples/in/ai-body.jpg sync +2022-08-20 09:36:39 DATA:  test-node.js result: face: 1 body: 1 hand: 1 gesture: 7 object: 1 person: 1 {"score":1,"age":23.7,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} +2022-08-20 09:36:39 DATA:  test-node.js result: performance: load: null total: 207 +2022-08-20 09:36:39 STATE: test-node.js passed: default sync 1 female 0.97 +2022-08-20 09:36:39 INFO:  test-node.js test: image process +2022-08-20 09:36:39 STATE: test-node.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34696120} +2022-08-20 09:36:39 STATE: test-node.js passed: image input null [1,256,256,3] +2022-08-20 09:36:39 INFO:  test-node.js test: image null +2022-08-20 09:36:39 STATE: test-node.js passed: invalid input could not convert input to tensor +2022-08-20 09:36:39 INFO:  test-node.js test face similarity +2022-08-20 09:36:39 STATE: test-node.js start face similarity +2022-08-20 09:36:39 STATE: test-node.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34696120} +2022-08-20 09:36:39 STATE: test-node.js event: image +2022-08-20 09:36:39 STATE: test-node.js event: detect +2022-08-20 09:36:39 STATE: test-node.js passed: detect: samples/in/ai-face.jpg face similarity +2022-08-20 09:36:39 DATA:  test-node.js result: face: 1 body: 1 hand: 1 gesture: 6 object: 1 person: 1 {"score":1,"age":23.5,"gender":"female"} {"score":0.82,"class":"person"} {"score":0.47,"keypoints":3} +2022-08-20 09:36:39 DATA:  test-node.js result: performance: load: null total: 202 +2022-08-20 09:36:39 STATE: test-node.js start face similarity +2022-08-20 09:36:39 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} +2022-08-20 09:36:39 STATE: test-node.js event: image +2022-08-20 09:36:39 STATE: test-node.js event: detect +2022-08-20 09:36:39 STATE: test-node.js passed: detect: samples/in/ai-body.jpg face similarity +2022-08-20 09:36:39 DATA:  test-node.js result: face: 1 body: 1 hand: 1 gesture: 7 object: 1 person: 1 {"score":1,"age":23.7,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} +2022-08-20 09:36:39 DATA:  test-node.js result: performance: load: null total: 205 +2022-08-20 09:36:39 STATE: test-node.js start face similarity +2022-08-20 09:36:39 STATE: test-node.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151289024} +2022-08-20 09:36:39 STATE: test-node.js event: image +2022-08-20 09:36:40 STATE: test-node.js event: detect +2022-08-20 09:36:40 STATE: test-node.js passed: detect: samples/in/ai-upper.jpg face similarity +2022-08-20 09:36:40 DATA:  test-node.js result: face: 1 body: 1 hand: 0 gesture: 4 object: 1 person: 1 {"score":1,"age":23.5,"gender":"female"} {"score":0.71,"class":"person"} {"score":0.75,"keypoints":7} +2022-08-20 09:36:40 DATA:  test-node.js result: performance: load: null total: 186 +2022-08-20 09:36:40 STATE: test-node.js passed: face descriptor +2022-08-20 09:36:40 STATE: test-node.js passed: face similarity {"similarity":[1,0.44727452329649126,0.5567935850640406],"descriptors":[1024,1024,1024]} +2022-08-20 09:36:40 INFO:  test-node.js test object +2022-08-20 09:36:40 STATE: test-node.js start object +2022-08-20 09:36:40 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} +2022-08-20 09:36:40 STATE: test-node.js event: image +2022-08-20 09:36:40 STATE: test-node.js event: detect +2022-08-20 09:36:40 STATE: test-node.js passed: detect: samples/in/ai-body.jpg object +2022-08-20 09:36:40 DATA:  test-node.js result: face: 1 body: 1 hand: 1 gesture: 7 object: 1 person: 1 {"score":1,"age":23.7,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} +2022-08-20 09:36:40 DATA:  test-node.js result: performance: load: null total: 215 +2022-08-20 09:36:40 STATE: test-node.js passed: centernet +2022-08-20 09:36:40 STATE: test-node.js start object +2022-08-20 09:36:41 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} +2022-08-20 09:36:41 STATE: test-node.js event: image +2022-08-20 09:36:41 STATE: test-node.js event: detect +2022-08-20 09:36:41 STATE: test-node.js passed: detect: samples/in/ai-body.jpg object +2022-08-20 09:36:41 DATA:  test-node.js result: face: 1 body: 1 hand: 1 gesture: 7 object: 3 person: 1 {"score":1,"age":23.7,"gender":"female"} {"score":0.86,"class":"person"} {"score":0.92,"keypoints":17} +2022-08-20 09:36:41 DATA:  test-node.js result: performance: load: null total: 218 +2022-08-20 09:36:41 STATE: test-node.js passed: nanodet +2022-08-20 09:36:41 INFO:  test-node.js test sensitive +2022-08-20 09:36:41 STATE: test-node.js start sensitive +2022-08-20 09:36:41 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} +2022-08-20 09:36:41 STATE: test-node.js event: image +2022-08-20 09:36:41 STATE: test-node.js event: detect +2022-08-20 09:36:41 STATE: test-node.js passed: detect: samples/in/ai-body.jpg sensitive +2022-08-20 09:36:41 DATA:  test-node.js result: face: 1 body: 1 hand: 2 gesture: 9 object: 0 person: 1 {"score":1,"age":23.7,"gender":"female"} {} {"score":0.92,"keypoints":17} +2022-08-20 09:36:41 DATA:  test-node.js result: performance: load: null total: 167 +2022-08-20 09:36:41 STATE: test-node.js passed: sensitive result match +2022-08-20 09:36:41 STATE: test-node.js passed: sensitive face result match +2022-08-20 09:36:41 STATE: test-node.js passed: sensitive face emotion result [{"score":0.59,"emotion":"angry"},{"score":0.29,"emotion":"fear"}] +2022-08-20 09:36:41 STATE: test-node.js passed: sensitive body result match +2022-08-20 09:36:41 STATE: test-node.js passed: sensitive hand result match +2022-08-20 09:36:41 INFO:  test-node.js test body +2022-08-20 09:36:41 STATE: test-node.js start blazepose +2022-08-20 09:36:43 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} +2022-08-20 09:36:43 STATE: test-node.js event: image +2022-08-20 09:36:43 STATE: test-node.js event: detect +2022-08-20 09:36:43 STATE: test-node.js passed: detect: samples/in/ai-body.jpg blazepose +2022-08-20 09:36:43 DATA:  test-node.js result: face: 1 body: 1 hand: 2 gesture: 9 object: 0 person: 1 {"score":1,"age":23.7,"gender":"female"} {} {"score":0.99,"keypoints":39} +2022-08-20 09:36:43 DATA:  test-node.js result: performance: load: null total: 227 +2022-08-20 09:36:43 STATE: test-node.js passed: blazepose +2022-08-20 09:36:43 STATE: test-node.js start efficientpose +2022-08-20 09:36:44 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} +2022-08-20 09:36:44 STATE: test-node.js event: image +2022-08-20 09:36:44 STATE: test-node.js event: detect +2022-08-20 09:36:44 STATE: test-node.js passed: detect: samples/in/ai-body.jpg efficientpose +2022-08-20 09:36:44 DATA:  test-node.js result: face: 1 body: 1 hand: 2 gesture: 9 object: 0 person: 1 {"score":1,"age":23.7,"gender":"female"} {} {"score":0.75,"keypoints":13} +2022-08-20 09:36:44 DATA:  test-node.js result: performance: load: null total: 246 +2022-08-20 09:36:44 STATE: test-node.js passed: efficientpose +2022-08-20 09:36:44 STATE: test-node.js start posenet +2022-08-20 09:36:45 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} +2022-08-20 09:36:45 STATE: test-node.js event: image +2022-08-20 09:36:45 STATE: test-node.js event: detect +2022-08-20 09:36:45 STATE: test-node.js passed: detect: samples/in/ai-body.jpg posenet +2022-08-20 09:36:45 DATA:  test-node.js result: face: 1 body: 1 hand: 2 gesture: 9 object: 0 person: 1 {"score":1,"age":23.7,"gender":"female"} {} {"score":0.96,"keypoints":16} +2022-08-20 09:36:45 DATA:  test-node.js result: performance: load: null total: 187 +2022-08-20 09:36:45 STATE: test-node.js passed: posenet +2022-08-20 09:36:45 STATE: test-node.js start movenet +2022-08-20 09:36:46 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} +2022-08-20 09:36:46 STATE: test-node.js event: image +2022-08-20 09:36:46 STATE: test-node.js event: detect +2022-08-20 09:36:46 STATE: test-node.js passed: detect: samples/in/ai-body.jpg movenet +2022-08-20 09:36:46 DATA:  test-node.js result: face: 1 body: 1 hand: 2 gesture: 9 object: 0 person: 1 {"score":1,"age":23.7,"gender":"female"} {} {"score":0.92,"keypoints":17} +2022-08-20 09:36:46 DATA:  test-node.js result: performance: load: null total: 179 +2022-08-20 09:36:46 STATE: test-node.js passed: movenet +2022-08-20 09:36:46 INFO:  test-node.js test face matching +2022-08-20 09:36:46 STATE: test-node.js passed: face database 40 +2022-08-20 09:36:46 STATE: test-node.js passed: face match {"first":{"index":4,"similarity":0.7827852615252829}} {"second":{"index":4,"similarity":0.5002052633015844}} {"third":{"index":4,"similarity":0.5401587887998899}} +2022-08-20 09:36:46 INFO:  test-node.js test face similarity alternative +2022-08-20 09:36:46 STATE: test-node.js start face embeddings +2022-08-20 09:36:46 STATE: test-node.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34696120} +2022-08-20 09:36:46 STATE: test-node.js event: image +2022-08-20 09:36:46 STATE: test-node.js event: detect +2022-08-20 09:36:46 STATE: test-node.js passed: detect: samples/in/ai-face.jpg face embeddings +2022-08-20 09:36:46 DATA:  test-node.js result: face: 1 body: 1 hand: 2 gesture: 8 object: 0 person: 1 {"score":1,"age":23.5,"gender":"female"} {} {"score":0.47,"keypoints":3} +2022-08-20 09:36:46 DATA:  test-node.js result: performance: load: null total: 189 +2022-08-20 09:36:46 STATE: test-node.js passed: mobilefacenet {"embedding":192} +2022-08-20 09:36:46 STATE: test-node.js start face embeddings +2022-08-20 09:36:47 STATE: test-node.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34696120} +2022-08-20 09:36:47 STATE: test-node.js event: image +2022-08-20 09:36:47 STATE: test-node.js event: detect +2022-08-20 09:36:47 STATE: test-node.js passed: detect: samples/in/ai-face.jpg face embeddings +2022-08-20 09:36:47 DATA:  test-node.js result: face: 1 body: 1 hand: 2 gesture: 8 object: 0 person: 1 {"score":1,"age":23.5,"gender":"female"} {} {"score":0.47,"keypoints":3} +2022-08-20 09:36:47 DATA:  test-node.js result: performance: load: null total: 189 +2022-08-20 09:36:47 STATE: test-node.js passed: insightface {"embedding":512} +2022-08-20 09:36:47 INFO:  test-node.js test face attention +2022-08-20 09:36:47 STATE: test-node.js start face attention +2022-08-20 09:36:48 STATE: test-node.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34696120} +2022-08-20 09:36:48 STATE: test-node.js event: image +2022-08-20 09:36:48 STATE: test-node.js event: detect +2022-08-20 09:36:48 STATE: test-node.js passed: detect: samples/in/ai-face.jpg face attention +2022-08-20 09:36:48 DATA:  test-node.js result: face: 1 body: 1 hand: 2 gesture: 8 object: 0 person: 1 {"score":1,"age":23.5,"gender":"female"} {} {"score":0.47,"keypoints":3} +2022-08-20 09:36:48 DATA:  test-node.js result: performance: load: null total: 175 +2022-08-20 09:36:48 STATE: test-node.js passed: face attention +2022-08-20 09:36:48 INFO:  test-node.js test detectors +2022-08-20 09:36:48 STATE: test-node.js start detectors +2022-08-20 09:36:48 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} +2022-08-20 09:36:48 STATE: test-node.js event: image +2022-08-20 09:36:48 STATE: test-node.js event: detect +2022-08-20 09:36:48 STATE: test-node.js passed: detect: samples/in/ai-body.jpg detectors +2022-08-20 09:36:48 DATA:  test-node.js result: face: 1 body: 1 hand: 1 gesture: 0 object: 0 person: 1 {"score":0.93,"gender":"unknown"} {} {"score":0.92,"keypoints":17} +2022-08-20 09:36:48 DATA:  test-node.js result: performance: load: null total: 82 +2022-08-20 09:36:48 STATE: test-node.js passed: detector result face match +2022-08-20 09:36:48 STATE: test-node.js passed: detector result hand match +2022-08-20 09:36:48 INFO:  test-node.js test: multi-instance +2022-08-20 09:36:48 STATE: test-node.js start multi instance +2022-08-20 09:36:48 STATE: test-node.js event: image +2022-08-20 09:36:48 STATE: test-node.js event: detect +2022-08-20 09:36:48 STATE: test-node.js passed: detect: random multi instance +2022-08-20 09:36:48 DATA:  test-node.js result: face: 0 body: 1 hand: 0 gesture: 0 object: 0 person: 0 {} {} {"score":0,"keypoints":0} +2022-08-20 09:36:48 DATA:  test-node.js result: performance: load: null total: 83 +2022-08-20 09:36:48 INFO:  test-node.js test: first instance +2022-08-20 09:36:48 STATE: test-node.js start multi instance +2022-08-20 09:36:48 STATE: test-node.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151289024} +2022-08-20 09:36:48 STATE: test-node.js passed: detect: samples/in/ai-upper.jpg multi instance +2022-08-20 09:36:48 DATA:  test-node.js result: face: 1 body: 1 hand: 0 gesture: 0 object: 0 person: 1 {"score":0.96,"gender":"unknown"} {} {"score":0.75,"keypoints":7} +2022-08-20 09:36:48 DATA:  test-node.js result: performance: load: null total: 79 +2022-08-20 09:36:48 INFO:  test-node.js test: second instance +2022-08-20 09:36:48 STATE: test-node.js start multi instance +2022-08-20 09:36:48 STATE: test-node.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151289024} +2022-08-20 09:36:49 STATE: test-node.js passed: detect: samples/in/ai-upper.jpg multi instance +2022-08-20 09:36:49 DATA:  test-node.js result: face: 1 body: 1 hand: 0 gesture: 0 object: 0 person: 1 {"score":0.96,"gender":"unknown"} {} {"score":0.75,"keypoints":7} +2022-08-20 09:36:49 DATA:  test-node.js result: performance: load: null total: 85 +2022-08-20 09:36:49 INFO:  test-node.js test: concurrent +2022-08-20 09:36:49 STATE: test-node.js start concurrent +2022-08-20 09:36:49 STATE: test-node.js start concurrent +2022-08-20 09:36:49 STATE: test-node.js start concurrent +2022-08-20 09:36:49 STATE: test-node.js start concurrent +2022-08-20 09:36:49 STATE: test-node.js start concurrent +2022-08-20 09:36:49 STATE: test-node.js start concurrent +2022-08-20 09:36:49 STATE: test-node.js start concurrent +2022-08-20 09:36:49 STATE: test-node.js start concurrent +2022-08-20 09:36:49 STATE: test-node.js start concurrent +2022-08-20 09:36:49 STATE: test-node.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34696120} +2022-08-20 09:36:49 STATE: test-node.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34696120} +2022-08-20 09:36:49 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} +2022-08-20 09:36:49 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} +2022-08-20 09:36:49 STATE: test-node.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151289024} +2022-08-20 09:36:49 STATE: test-node.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151289024} +2022-08-20 09:36:49 STATE: test-node.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34696120} +2022-08-20 09:36:49 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} +2022-08-20 09:36:49 STATE: test-node.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151289024} +2022-08-20 09:36:49 STATE: test-node.js event: image +2022-08-20 09:36:49 STATE: test-node.js event: image +2022-08-20 09:36:49 STATE: test-node.js event: image +2022-08-20 09:36:50 STATE: test-node.js passed: detect: samples/in/ai-upper.jpg concurrent +2022-08-20 09:36:50 DATA:  test-node.js result: face: 1 body: 1 hand: 0 gesture: 0 object: 0 person: 1 {"score":0.96,"gender":"unknown"} {} {"score":0.75,"keypoints":7} +2022-08-20 09:36:50 DATA:  test-node.js result: performance: load: null total: 947 +2022-08-20 09:36:50 STATE: test-node.js passed: detect: samples/in/ai-upper.jpg concurrent +2022-08-20 09:36:50 DATA:  test-node.js result: face: 1 body: 1 hand: 0 gesture: 0 object: 0 person: 1 {"score":0.96,"gender":"unknown"} {} {"score":0.75,"keypoints":7} +2022-08-20 09:36:50 DATA:  test-node.js result: performance: load: null total: 947 +2022-08-20 09:36:50 STATE: test-node.js passed: detect: samples/in/ai-face.jpg concurrent +2022-08-20 09:36:50 DATA:  test-node.js result: face: 1 body: 1 hand: 1 gesture: 0 object: 0 person: 1 {"score":0.91,"gender":"unknown"} {} {"score":0.47,"keypoints":3} +2022-08-20 09:36:50 DATA:  test-node.js result: performance: load: null total: 947 +2022-08-20 09:36:50 STATE: test-node.js passed: detect: samples/in/ai-face.jpg concurrent +2022-08-20 09:36:50 DATA:  test-node.js result: face: 1 body: 1 hand: 1 gesture: 0 object: 0 person: 1 {"score":0.91,"gender":"unknown"} {} {"score":0.47,"keypoints":3} +2022-08-20 09:36:50 DATA:  test-node.js result: performance: load: null total: 947 +2022-08-20 09:36:50 STATE: test-node.js passed: detect: samples/in/ai-body.jpg concurrent +2022-08-20 09:36:50 DATA:  test-node.js result: face: 1 body: 1 hand: 1 gesture: 0 object: 0 person: 1 {"score":0.93,"gender":"unknown"} {} {"score":0.92,"keypoints":17} +2022-08-20 09:36:50 DATA:  test-node.js result: performance: load: null total: 947 +2022-08-20 09:36:50 STATE: test-node.js passed: detect: samples/in/ai-body.jpg concurrent +2022-08-20 09:36:50 DATA:  test-node.js result: face: 1 body: 1 hand: 1 gesture: 0 object: 0 person: 1 {"score":0.93,"gender":"unknown"} {} {"score":0.92,"keypoints":17} +2022-08-20 09:36:50 DATA:  test-node.js result: performance: load: null total: 947 +2022-08-20 09:36:50 STATE: test-node.js event: detect +2022-08-20 09:36:50 STATE: test-node.js passed: detect: samples/in/ai-upper.jpg concurrent +2022-08-20 09:36:50 DATA:  test-node.js result: face: 1 body: 1 hand: 0 gesture: 0 object: 0 person: 1 {"score":0.96,"gender":"unknown"} {} {"score":0.75,"keypoints":7} +2022-08-20 09:36:50 DATA:  test-node.js result: performance: load: null total: 693 +2022-08-20 09:36:50 STATE: test-node.js event: detect +2022-08-20 09:36:50 STATE: test-node.js event: detect +2022-08-20 09:36:50 STATE: test-node.js passed: detect: samples/in/ai-face.jpg concurrent +2022-08-20 09:36:50 DATA:  test-node.js result: face: 1 body: 1 hand: 1 gesture: 0 object: 0 person: 1 {"score":0.91,"gender":"unknown"} {} {"score":0.47,"keypoints":3} +2022-08-20 09:36:50 DATA:  test-node.js result: performance: load: null total: 694 +2022-08-20 09:36:50 STATE: test-node.js passed: detect: samples/in/ai-body.jpg concurrent +2022-08-20 09:36:50 DATA:  test-node.js result: face: 1 body: 1 hand: 1 gesture: 0 object: 0 person: 1 {"score":0.93,"gender":"unknown"} {} {"score":0.92,"keypoints":17} +2022-08-20 09:36:50 DATA:  test-node.js result: performance: load: null total: 694 +2022-08-20 09:36:50 INFO:  test-node.js test: monkey-patch +2022-08-20 09:36:50 STATE: test-node.js event: image +2022-08-20 09:36:50 STATE: test-node.js event: detect +2022-08-20 09:36:50 STATE: test-node.js passed: monkey patch +2022-08-20 09:36:50 STATE: test-node.js passed: segmentation [65536] +2022-08-20 09:36:50 STATE: test-node.js passeed: equal usage +2022-08-20 09:36:50 INFO:  test-node.js test: input compare +2022-08-20 09:36:50 STATE: test-node.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34696120} +2022-08-20 09:36:50 STATE: test-node.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796864} +2022-08-20 09:36:50 STATE: test-node.js passed: image compare 0 23.275441687091504 +2022-08-20 09:36:50 INFO:  test-node.js events: {"image":29,"detect":29,"warmup":2} +2022-08-20 09:36:50 INFO:  test-node.js tensors 4105 +2022-08-20 09:36:50 INFO:  test-node.js test complete: 15407 ms +2022-08-20 09:36:50 INFO:  +2022-08-20 09:36:50 INFO:  test-node-gpu.js start +2022-08-20 09:36:51 INFO:  test-node-gpu.js test: configuration validation +2022-08-20 09:36:51 STATE: test-node-gpu.js passed: configuration default validation [] +2022-08-20 09:36:51 STATE: test-node-gpu.js passed: configuration invalid validation [{"reason":"unknown property","where":"config.invalid = true"}] +2022-08-20 09:36:51 INFO:  test-node-gpu.js test: model load +2022-08-20 09:36:51 STATE: test-node-gpu.js passed: models loaded 23 12 [{"name":"ssrnetage","loaded":false,"url":null},{"name":"gear","loaded":false,"url":null},{"name":"blazeposedetect","loaded":false,"url":null},{"name":"blazepose","loaded":false,"url":null},{"name":"centernet","loaded":true,"url":"file://models/mb3-centernet.json"},{"name":"efficientpose","loaded":false,"url":null},{"name":"mobilefacenet","loaded":false,"url":null},{"name":"insightface","loaded":false,"url":null},{"name":"emotion","loaded":true,"url":"file://models/emotion.json"},{"name":"facedetect","loaded":true,"url":"file://models/blazeface.json"},{"name":"faceiris","loaded":true,"url":"file://models/iris.json"},{"name":"facemesh","loaded":true,"url":"file://models/facemesh.json"},{"name":"faceres","loaded":true,"url":"file://models/faceres.json"},{"name":"ssrnetgender","loaded":false,"url":null},{"name":"handpose","loaded":false,"url":null},{"name":"handskeleton","loaded":true,"url":"file://models/handlandmark-full.json"},{"name":"handtrack","loaded":true,"url":"file://models/handtrack.json"},{"name":"liveness","loaded":true,"url":"file://models/liveness.json"},{"name":"movenet","loaded":true,"url":"file://models/movenet-lightning.json"},{"name":"nanodet","loaded":false,"url":null},{"name":"posenet","loaded":false,"url":null},{"name":"segmentation","loaded":true,"url":"file://models/selfie.json"},{"name":"antispoof","loaded":true,"url":"file://models/antispoof.json"}] +2022-08-20 09:36:51 INFO:  test-node-gpu.js test: warmup +2022-08-20 09:36:51 STATE: test-node-gpu.js passed: create human +2022-08-20 09:36:51 INFO:  test-node-gpu.js human version: 2.9.4 +2022-08-20 09:36:51 INFO:  test-node-gpu.js platform: linux x64 agent: NodeJS v18.1.0 +2022-08-20 09:36:51 INFO:  test-node-gpu.js tfjs version: 3.19.0 +2022-08-20 09:36:51 INFO:  test-node-gpu.js env: {"browser":false,"node":true,"platform":"linux x64","agent":"NodeJS v18.1.0","backends":["cpu","tensorflow"],"initial":false,"tfjs":{"version":"3.19.0"},"offscreen":false,"perfadd":false,"tensorflow":{"version":"2.7.3-dev20220521","gpu":true},"wasm":{"supported":true,"backend":false},"webgl":{"supported":false,"backend":false},"webgpu":{"supported":false,"backend":false},"cpu":{"flags":[]},"kernels":169} +2022-08-20 09:36:51 STATE: test-node-gpu.js passed: set backend: tensorflow +2022-08-20 09:36:51 STATE: test-node-gpu.js tensors 1921 +2022-08-20 09:36:51 STATE: test-node-gpu.js passed: load models +2022-08-20 09:36:51 STATE: test-node-gpu.js result: defined models: 23 loaded models: 12 +2022-08-20 09:36:51 STATE: test-node-gpu.js passed: warmup: none default +2022-08-20 09:36:51 DATA:  test-node-gpu.js result: face: 0 body: 0 hand: 0 gesture: 0 object: 0 person: 0 {} {} {} +2022-08-20 09:36:51 DATA:  test-node-gpu.js result: performance: load: null total: null +2022-08-20 09:36:51 STATE: test-node-gpu.js passed: warmup none result match +2022-08-20 09:36:52 STATE: test-node-gpu.js event: image +2022-08-20 09:36:56 STATE: test-node-gpu.js event: detect +2022-08-20 09:36:56 STATE: test-node-gpu.js event: warmup +2022-08-20 09:36:56 STATE: test-node-gpu.js passed: warmup: face default +2022-08-20 09:36:56 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 1 gesture: 7 object: 1 person: 1 {"score":1,"age":23.5,"gender":"female"} {"score":0.82,"class":"person"} {"score":0.42,"keypoints":4} +2022-08-20 09:36:56 DATA:  test-node-gpu.js result: performance: load: null total: 4057 +2022-08-20 09:36:56 STATE: test-node-gpu.js passed: warmup face result match +2022-08-20 09:36:56 STATE: test-node-gpu.js event: image +2022-08-20 09:36:56 STATE: test-node-gpu.js event: detect +2022-08-20 09:36:56 STATE: test-node-gpu.js event: warmup +2022-08-20 09:36:56 STATE: test-node-gpu.js passed: warmup: body default +2022-08-20 09:36:56 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 1 gesture: 7 object: 1 person: 1 {"score":1,"age":23.7,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} +2022-08-20 09:36:56 DATA:  test-node-gpu.js result: performance: load: null total: 151 +2022-08-20 09:36:56 STATE: test-node-gpu.js passed: warmup body result match +2022-08-20 09:36:56 STATE: test-node-gpu.js details: {"face":{"boxScore":0.92,"faceScore":1,"age":23.7,"gender":"female","genderScore":0.97},"emotion":[{"score":0.63,"emotion":"angry"},{"score":0.22,"emotion":"fear"}],"body":{"score":0.92,"keypoints":17},"hand":{"boxScore":0.52,"fingerScore":0.73,"keypoints":21},"gestures":[{"face":0,"gesture":"facing right"},{"face":0,"gesture":"mouth 10% open"},{"hand":0,"gesture":"pinky forward"},{"hand":0,"gesture":"palm up"},{"hand":0,"gesture":"open palm"},{"iris":0,"gesture":"looking left"},{"iris":0,"gesture":"looking up"}]} +2022-08-20 09:36:56 INFO:  test-node-gpu.js test: details verification +2022-08-20 09:36:56 STATE: test-node-gpu.js start default +2022-08-20 09:36:56 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796928} +2022-08-20 09:36:56 STATE: test-node-gpu.js event: image +2022-08-20 09:36:56 STATE: test-node-gpu.js event: detect +2022-08-20 09:36:56 STATE: test-node-gpu.js passed: detect: samples/in/ai-body.jpg default +2022-08-20 09:36:56 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 1 gesture: 7 object: 1 person: 1 {"score":1,"age":23.7,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} +2022-08-20 09:36:56 DATA:  test-node-gpu.js result: performance: load: null total: 151 +2022-08-20 09:36:56 STATE: test-node-gpu.js passed: details face length 1 +2022-08-20 09:36:56 STATE: test-node-gpu.js passed: details face score 1 0.93 1 +2022-08-20 09:36:56 STATE: test-node-gpu.js passed: details face age/gender 23.7 female 0.97 85.47 +2022-08-20 09:36:56 STATE: test-node-gpu.js passed: details face arrays 4 478 1024 +2022-08-20 09:36:56 STATE: test-node-gpu.js passed: details face emotion 2 {"score":0.59,"emotion":"angry"} +2022-08-20 09:36:56 STATE: test-node-gpu.js passed: details face anti-spoofing 0.79 +2022-08-20 09:36:56 STATE: test-node-gpu.js passed: details face liveness 0.83 +2022-08-20 09:36:56 STATE: test-node-gpu.js passed: details body length 1 +2022-08-20 09:36:56 STATE: test-node-gpu.js passed: details body 0.92 17 6 +2022-08-20 09:36:56 STATE: test-node-gpu.js passed: details hand length 1 +2022-08-20 09:36:56 STATE: test-node-gpu.js passed: details hand 0.51 0.73 point +2022-08-20 09:36:56 STATE: test-node-gpu.js passed: details hand arrays 21 5 7 +2022-08-20 09:36:56 STATE: test-node-gpu.js passed: details gesture length 7 +2022-08-20 09:36:56 STATE: test-node-gpu.js passed: details gesture first {"face":0,"gesture":"facing right"} +2022-08-20 09:36:56 STATE: test-node-gpu.js passed: details object length 1 +2022-08-20 09:36:56 STATE: test-node-gpu.js passed: details object 0.72 person +2022-08-20 09:36:56 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,4] {"checksum":1371996928} +2022-08-20 09:36:56 STATE: test-node-gpu.js event: image +2022-08-20 09:36:57 STATE: test-node-gpu.js event: detect +2022-08-20 09:36:57 STATE: test-node-gpu.js passed: tensor shape: [1,1200,1200,4] dtype: float32 +2022-08-20 09:36:57 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1200,1200,4] {"checksum":1371996928} +2022-08-20 09:36:57 STATE: test-node-gpu.js event: image +2022-08-20 09:36:57 STATE: test-node-gpu.js event: detect +2022-08-20 09:36:57 STATE: test-node-gpu.js passed: tensor shape: [1200,1200,4] dtype: float32 +2022-08-20 09:36:57 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796928} +2022-08-20 09:36:57 STATE: test-node-gpu.js event: image +2022-08-20 09:36:57 STATE: test-node-gpu.js event: detect +2022-08-20 09:36:57 STATE: test-node-gpu.js passed: tensor shape: [1,1200,1200,3] dtype: float32 +2022-08-20 09:36:57 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1200,1200,3] {"checksum":1004796928} +2022-08-20 09:36:57 STATE: test-node-gpu.js event: image +2022-08-20 09:36:58 STATE: test-node-gpu.js event: detect +2022-08-20 09:36:58 STATE: test-node-gpu.js passed: tensor shape: [1200,1200,3] dtype: float32 +2022-08-20 09:36:58 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,4] {"checksum":1371996871} +2022-08-20 09:36:58 STATE: test-node-gpu.js event: image +2022-08-20 09:36:58 STATE: test-node-gpu.js event: detect +2022-08-20 09:36:58 STATE: test-node-gpu.js passed: tensor shape: [1,1200,1200,4] dtype: int32 +2022-08-20 09:36:58 INFO:  test-node-gpu.js test default +2022-08-20 09:36:58 STATE: test-node-gpu.js start async +2022-08-20 09:36:58 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796928} +2022-08-20 09:36:58 STATE: test-node-gpu.js event: image +2022-08-20 09:36:58 STATE: test-node-gpu.js event: detect +2022-08-20 09:36:58 STATE: test-node-gpu.js passed: detect: samples/in/ai-body.jpg async +2022-08-20 09:36:58 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 1 gesture: 7 object: 1 person: 1 {"score":1,"age":23.7,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} +2022-08-20 09:36:58 DATA:  test-node-gpu.js result: performance: load: null total: 146 +2022-08-20 09:36:58 STATE: test-node-gpu.js passed: default result face match 1 female 0.97 +2022-08-20 09:36:58 INFO:  test-node-gpu.js test sync +2022-08-20 09:36:58 STATE: test-node-gpu.js start sync +2022-08-20 09:36:58 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796928} +2022-08-20 09:36:58 STATE: test-node-gpu.js event: image +2022-08-20 09:36:59 STATE: test-node-gpu.js event: detect +2022-08-20 09:36:59 STATE: test-node-gpu.js passed: detect: samples/in/ai-body.jpg sync +2022-08-20 09:36:59 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 1 gesture: 7 object: 1 person: 1 {"score":1,"age":23.7,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} +2022-08-20 09:36:59 DATA:  test-node-gpu.js result: performance: load: null total: 136 +2022-08-20 09:36:59 STATE: test-node-gpu.js passed: default sync 1 female 0.97 +2022-08-20 09:36:59 INFO:  test-node-gpu.js test: image process +2022-08-20 09:36:59 STATE: test-node-gpu.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34696120} +2022-08-20 09:36:59 STATE: test-node-gpu.js passed: image input null [1,256,256,3] +2022-08-20 09:36:59 INFO:  test-node-gpu.js test: image null +2022-08-20 09:36:59 STATE: test-node-gpu.js passed: invalid input could not convert input to tensor +2022-08-20 09:36:59 INFO:  test-node-gpu.js test face similarity +2022-08-20 09:36:59 STATE: test-node-gpu.js start face similarity +2022-08-20 09:36:59 STATE: test-node-gpu.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34696120} +2022-08-20 09:36:59 STATE: test-node-gpu.js event: image +2022-08-20 09:36:59 STATE: test-node-gpu.js event: detect +2022-08-20 09:36:59 STATE: test-node-gpu.js passed: detect: samples/in/ai-face.jpg face similarity +2022-08-20 09:36:59 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 1 gesture: 6 object: 1 person: 1 {"score":1,"age":23.5,"gender":"female"} {"score":0.82,"class":"person"} {"score":0.47,"keypoints":3} +2022-08-20 09:36:59 DATA:  test-node-gpu.js result: performance: load: null total: 127 +2022-08-20 09:36:59 STATE: test-node-gpu.js start face similarity +2022-08-20 09:36:59 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796928} +2022-08-20 09:36:59 STATE: test-node-gpu.js event: image +2022-08-20 09:36:59 STATE: test-node-gpu.js event: detect +2022-08-20 09:36:59 STATE: test-node-gpu.js passed: detect: samples/in/ai-body.jpg face similarity +2022-08-20 09:36:59 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 1 gesture: 7 object: 1 person: 1 {"score":1,"age":23.7,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} +2022-08-20 09:36:59 DATA:  test-node-gpu.js result: performance: load: null total: 144 +2022-08-20 09:36:59 STATE: test-node-gpu.js start face similarity +2022-08-20 09:36:59 STATE: test-node-gpu.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151289056} +2022-08-20 09:36:59 STATE: test-node-gpu.js event: image +2022-08-20 09:36:59 STATE: test-node-gpu.js event: detect +2022-08-20 09:36:59 STATE: test-node-gpu.js passed: detect: samples/in/ai-upper.jpg face similarity +2022-08-20 09:36:59 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 0 gesture: 4 object: 1 person: 1 {"score":1,"age":23.5,"gender":"female"} {"score":0.71,"class":"person"} {"score":0.75,"keypoints":7} +2022-08-20 09:36:59 DATA:  test-node-gpu.js result: performance: load: null total: 131 +2022-08-20 09:36:59 STATE: test-node-gpu.js passed: face descriptor +2022-08-20 09:36:59 STATE: test-node-gpu.js passed: face similarity {"similarity":[1,0.447238756461232,0.556914029877052],"descriptors":[1024,1024,1024]} +2022-08-20 09:36:59 INFO:  test-node-gpu.js test object +2022-08-20 09:36:59 STATE: test-node-gpu.js start object +2022-08-20 09:36:59 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796928} +2022-08-20 09:36:59 STATE: test-node-gpu.js event: image +2022-08-20 09:37:00 STATE: test-node-gpu.js event: detect +2022-08-20 09:37:00 STATE: test-node-gpu.js passed: detect: samples/in/ai-body.jpg object +2022-08-20 09:37:00 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 1 gesture: 7 object: 1 person: 1 {"score":1,"age":23.7,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} +2022-08-20 09:37:00 DATA:  test-node-gpu.js result: performance: load: null total: 149 +2022-08-20 09:37:00 STATE: test-node-gpu.js passed: centernet +2022-08-20 09:37:00 STATE: test-node-gpu.js start object +2022-08-20 09:37:00 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796928} +2022-08-20 09:37:00 STATE: test-node-gpu.js event: image +2022-08-20 09:37:01 STATE: test-node-gpu.js event: detect +2022-08-20 09:37:01 STATE: test-node-gpu.js passed: detect: samples/in/ai-body.jpg object +2022-08-20 09:37:01 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 1 gesture: 7 object: 3 person: 1 {"score":1,"age":23.7,"gender":"female"} {"score":0.86,"class":"person"} {"score":0.92,"keypoints":17} +2022-08-20 09:37:01 DATA:  test-node-gpu.js result: performance: load: null total: 543 +2022-08-20 09:37:01 STATE: test-node-gpu.js passed: nanodet +2022-08-20 09:37:01 INFO:  test-node-gpu.js test sensitive +2022-08-20 09:37:01 STATE: test-node-gpu.js start sensitive +2022-08-20 09:37:01 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796928} +2022-08-20 09:37:01 STATE: test-node-gpu.js event: image +2022-08-20 09:37:01 STATE: test-node-gpu.js event: detect +2022-08-20 09:37:01 STATE: test-node-gpu.js passed: detect: samples/in/ai-body.jpg sensitive +2022-08-20 09:37:01 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 2 gesture: 9 object: 0 person: 1 {"score":1,"age":23.7,"gender":"female"} {} {"score":0.92,"keypoints":17} +2022-08-20 09:37:01 DATA:  test-node-gpu.js result: performance: load: null total: 135 +2022-08-20 09:37:01 STATE: test-node-gpu.js passed: sensitive result match +2022-08-20 09:37:01 STATE: test-node-gpu.js passed: sensitive face result match +2022-08-20 09:37:01 STATE: test-node-gpu.js passed: sensitive face emotion result [{"score":0.59,"emotion":"angry"},{"score":0.29,"emotion":"fear"}] +2022-08-20 09:37:01 STATE: test-node-gpu.js passed: sensitive body result match +2022-08-20 09:37:01 STATE: test-node-gpu.js passed: sensitive hand result match +2022-08-20 09:37:01 INFO:  test-node-gpu.js test body +2022-08-20 09:37:01 STATE: test-node-gpu.js start blazepose +2022-08-20 09:37:03 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796928} +2022-08-20 09:37:03 STATE: test-node-gpu.js event: image +2022-08-20 09:37:03 STATE: test-node-gpu.js event: detect +2022-08-20 09:37:03 STATE: test-node-gpu.js passed: detect: samples/in/ai-body.jpg blazepose +2022-08-20 09:37:03 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 2 gesture: 9 object: 0 person: 1 {"score":1,"age":23.7,"gender":"female"} {} {"score":0.99,"keypoints":39} +2022-08-20 09:37:03 DATA:  test-node-gpu.js result: performance: load: null total: 270 +2022-08-20 09:37:03 STATE: test-node-gpu.js passed: blazepose +2022-08-20 09:37:03 STATE: test-node-gpu.js start efficientpose +2022-08-20 09:37:04 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796928} +2022-08-20 09:37:04 STATE: test-node-gpu.js event: image +2022-08-20 09:37:04 STATE: test-node-gpu.js event: detect +2022-08-20 09:37:04 STATE: test-node-gpu.js passed: detect: samples/in/ai-body.jpg efficientpose +2022-08-20 09:37:04 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 2 gesture: 9 object: 0 person: 1 {"score":1,"age":23.7,"gender":"female"} {} {"score":0.75,"keypoints":13} +2022-08-20 09:37:04 DATA:  test-node-gpu.js result: performance: load: null total: 880 +2022-08-20 09:37:04 STATE: test-node-gpu.js passed: efficientpose +2022-08-20 09:37:04 STATE: test-node-gpu.js start posenet +2022-08-20 09:37:05 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796928} +2022-08-20 09:37:05 STATE: test-node-gpu.js event: image +2022-08-20 09:37:05 STATE: test-node-gpu.js event: detect +2022-08-20 09:37:05 STATE: test-node-gpu.js passed: detect: samples/in/ai-body.jpg posenet +2022-08-20 09:37:05 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 2 gesture: 9 object: 0 person: 1 {"score":1,"age":23.7,"gender":"female"} {} {"score":0.96,"keypoints":16} +2022-08-20 09:37:05 DATA:  test-node-gpu.js result: performance: load: null total: 132 +2022-08-20 09:37:05 STATE: test-node-gpu.js passed: posenet +2022-08-20 09:37:05 STATE: test-node-gpu.js start movenet +2022-08-20 09:37:05 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796928} +2022-08-20 09:37:05 STATE: test-node-gpu.js event: image +2022-08-20 09:37:05 STATE: test-node-gpu.js event: detect +2022-08-20 09:37:05 STATE: test-node-gpu.js passed: detect: samples/in/ai-body.jpg movenet +2022-08-20 09:37:05 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 2 gesture: 9 object: 0 person: 1 {"score":1,"age":23.7,"gender":"female"} {} {"score":0.92,"keypoints":17} +2022-08-20 09:37:05 DATA:  test-node-gpu.js result: performance: load: null total: 122 +2022-08-20 09:37:05 STATE: test-node-gpu.js passed: movenet +2022-08-20 09:37:05 INFO:  test-node-gpu.js test face matching +2022-08-20 09:37:05 STATE: test-node-gpu.js passed: face database 40 +2022-08-20 09:37:05 STATE: test-node-gpu.js passed: face match {"first":{"index":4,"similarity":0.7828184453007331}} {"second":{"index":4,"similarity":0.5001334216773398}} {"third":{"index":4,"similarity":0.5403054967489764}} +2022-08-20 09:37:05 INFO:  test-node-gpu.js test face similarity alternative +2022-08-20 09:37:05 STATE: test-node-gpu.js start face embeddings +2022-08-20 09:37:06 STATE: test-node-gpu.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34696120} +2022-08-20 09:37:06 STATE: test-node-gpu.js event: image +2022-08-20 09:37:06 STATE: test-node-gpu.js event: detect +2022-08-20 09:37:06 STATE: test-node-gpu.js passed: detect: samples/in/ai-face.jpg face embeddings +2022-08-20 09:37:06 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 2 gesture: 8 object: 0 person: 1 {"score":1,"age":23.5,"gender":"female"} {} {"score":0.47,"keypoints":3} +2022-08-20 09:37:06 DATA:  test-node-gpu.js result: performance: load: null total: 151 +2022-08-20 09:37:06 STATE: test-node-gpu.js passed: mobilefacenet {"embedding":192} +2022-08-20 09:37:06 STATE: test-node-gpu.js start face embeddings +2022-08-20 09:37:07 STATE: test-node-gpu.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34696120} +2022-08-20 09:37:07 STATE: test-node-gpu.js event: image +2022-08-20 09:37:07 STATE: test-node-gpu.js event: detect +2022-08-20 09:37:07 STATE: test-node-gpu.js passed: detect: samples/in/ai-face.jpg face embeddings +2022-08-20 09:37:07 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 2 gesture: 8 object: 0 person: 1 {"score":1,"age":23.5,"gender":"female"} {} {"score":0.47,"keypoints":3} +2022-08-20 09:37:07 DATA:  test-node-gpu.js result: performance: load: null total: 169 +2022-08-20 09:37:07 STATE: test-node-gpu.js passed: insightface {"embedding":512} +2022-08-20 09:37:07 INFO:  test-node-gpu.js test face attention +2022-08-20 09:37:07 STATE: test-node-gpu.js start face attention +2022-08-20 09:37:07 STATE: test-node-gpu.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34696120} +2022-08-20 09:37:07 STATE: test-node-gpu.js event: image +2022-08-20 09:37:07 STATE: test-node-gpu.js event: detect +2022-08-20 09:37:07 STATE: test-node-gpu.js passed: detect: samples/in/ai-face.jpg face attention +2022-08-20 09:37:07 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 2 gesture: 8 object: 0 person: 1 {"score":1,"age":23.5,"gender":"female"} {} {"score":0.47,"keypoints":3} +2022-08-20 09:37:07 DATA:  test-node-gpu.js result: performance: load: null total: 227 +2022-08-20 09:37:07 STATE: test-node-gpu.js passed: face attention +2022-08-20 09:37:07 INFO:  test-node-gpu.js test detectors +2022-08-20 09:37:07 STATE: test-node-gpu.js start detectors +2022-08-20 09:37:07 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796928} +2022-08-20 09:37:07 STATE: test-node-gpu.js event: image +2022-08-20 09:37:08 STATE: test-node-gpu.js event: detect +2022-08-20 09:37:08 STATE: test-node-gpu.js passed: detect: samples/in/ai-body.jpg detectors +2022-08-20 09:37:08 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 1 gesture: 0 object: 0 person: 1 {"score":0.93,"gender":"unknown"} {} {"score":0.92,"keypoints":17} +2022-08-20 09:37:08 DATA:  test-node-gpu.js result: performance: load: null total: 197 +2022-08-20 09:37:08 STATE: test-node-gpu.js passed: detector result face match +2022-08-20 09:37:08 STATE: test-node-gpu.js passed: detector result hand match +2022-08-20 09:37:08 INFO:  test-node-gpu.js test: multi-instance +2022-08-20 09:37:08 STATE: test-node-gpu.js start multi instance +2022-08-20 09:37:08 STATE: test-node-gpu.js event: image +2022-08-20 09:37:08 STATE: test-node-gpu.js event: detect +2022-08-20 09:37:08 STATE: test-node-gpu.js passed: detect: random multi instance +2022-08-20 09:37:08 DATA:  test-node-gpu.js result: face: 0 body: 1 hand: 0 gesture: 0 object: 0 person: 0 {} {} {"score":0,"keypoints":0} +2022-08-20 09:37:08 DATA:  test-node-gpu.js result: performance: load: null total: 38 +2022-08-20 09:37:08 INFO:  test-node-gpu.js test: first instance +2022-08-20 09:37:08 STATE: test-node-gpu.js start multi instance +2022-08-20 09:37:08 STATE: test-node-gpu.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151289056} +2022-08-20 09:37:08 STATE: test-node-gpu.js passed: detect: samples/in/ai-upper.jpg multi instance +2022-08-20 09:37:08 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 0 gesture: 0 object: 0 person: 1 {"score":0.96,"gender":"unknown"} {} {"score":0.75,"keypoints":7} +2022-08-20 09:37:08 DATA:  test-node-gpu.js result: performance: load: null total: 35 +2022-08-20 09:37:08 INFO:  test-node-gpu.js test: second instance +2022-08-20 09:37:08 STATE: test-node-gpu.js start multi instance +2022-08-20 09:37:08 STATE: test-node-gpu.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151289056} +2022-08-20 09:37:08 STATE: test-node-gpu.js passed: detect: samples/in/ai-upper.jpg multi instance +2022-08-20 09:37:08 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 0 gesture: 0 object: 0 person: 1 {"score":0.96,"gender":"unknown"} {} {"score":0.75,"keypoints":7} +2022-08-20 09:37:08 DATA:  test-node-gpu.js result: performance: load: null total: 39 +2022-08-20 09:37:08 INFO:  test-node-gpu.js test: concurrent +2022-08-20 09:37:08 STATE: test-node-gpu.js start concurrent +2022-08-20 09:37:08 STATE: test-node-gpu.js start concurrent +2022-08-20 09:37:08 STATE: test-node-gpu.js start concurrent +2022-08-20 09:37:08 STATE: test-node-gpu.js start concurrent +2022-08-20 09:37:08 STATE: test-node-gpu.js start concurrent +2022-08-20 09:37:08 STATE: test-node-gpu.js start concurrent +2022-08-20 09:37:08 STATE: test-node-gpu.js start concurrent +2022-08-20 09:37:08 STATE: test-node-gpu.js start concurrent +2022-08-20 09:37:08 STATE: test-node-gpu.js start concurrent +2022-08-20 09:37:08 STATE: test-node-gpu.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34696120} +2022-08-20 09:37:08 STATE: test-node-gpu.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34696120} +2022-08-20 09:37:08 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796928} +2022-08-20 09:37:08 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796928} +2022-08-20 09:37:08 STATE: test-node-gpu.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151289056} +2022-08-20 09:37:08 STATE: test-node-gpu.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151289056} +2022-08-20 09:37:08 STATE: test-node-gpu.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34696120} +2022-08-20 09:37:09 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796928} +2022-08-20 09:37:09 STATE: test-node-gpu.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151289056} +2022-08-20 09:37:09 STATE: test-node-gpu.js event: image +2022-08-20 09:37:09 STATE: test-node-gpu.js event: image +2022-08-20 09:37:09 STATE: test-node-gpu.js event: image +2022-08-20 09:37:09 STATE: test-node-gpu.js passed: detect: samples/in/ai-upper.jpg concurrent +2022-08-20 09:37:09 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 0 gesture: 0 object: 0 person: 1 {"score":0.96,"gender":"unknown"} {} {"score":0.75,"keypoints":7} +2022-08-20 09:37:09 DATA:  test-node-gpu.js result: performance: load: null total: 579 +2022-08-20 09:37:09 STATE: test-node-gpu.js passed: detect: samples/in/ai-upper.jpg concurrent +2022-08-20 09:37:09 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 0 gesture: 0 object: 0 person: 1 {"score":0.96,"gender":"unknown"} {} {"score":0.75,"keypoints":7} +2022-08-20 09:37:09 DATA:  test-node-gpu.js result: performance: load: null total: 579 +2022-08-20 09:37:09 STATE: test-node-gpu.js passed: detect: samples/in/ai-face.jpg concurrent +2022-08-20 09:37:09 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 1 gesture: 0 object: 0 person: 1 {"score":0.91,"gender":"unknown"} {} {"score":0.47,"keypoints":3} +2022-08-20 09:37:09 DATA:  test-node-gpu.js result: performance: load: null total: 579 +2022-08-20 09:37:09 STATE: test-node-gpu.js passed: detect: samples/in/ai-face.jpg concurrent +2022-08-20 09:37:09 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 1 gesture: 0 object: 0 person: 1 {"score":0.91,"gender":"unknown"} {} {"score":0.47,"keypoints":3} +2022-08-20 09:37:09 DATA:  test-node-gpu.js result: performance: load: null total: 580 +2022-08-20 09:37:09 STATE: test-node-gpu.js passed: detect: samples/in/ai-body.jpg concurrent +2022-08-20 09:37:09 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 1 gesture: 0 object: 0 person: 1 {"score":0.93,"gender":"unknown"} {} {"score":0.92,"keypoints":17} +2022-08-20 09:37:09 DATA:  test-node-gpu.js result: performance: load: null total: 579 +2022-08-20 09:37:09 STATE: test-node-gpu.js passed: detect: samples/in/ai-body.jpg concurrent +2022-08-20 09:37:09 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 1 gesture: 0 object: 0 person: 1 {"score":0.93,"gender":"unknown"} {} {"score":0.92,"keypoints":17} +2022-08-20 09:37:09 DATA:  test-node-gpu.js result: performance: load: null total: 580 +2022-08-20 09:37:09 STATE: test-node-gpu.js event: detect +2022-08-20 09:37:09 STATE: test-node-gpu.js passed: detect: samples/in/ai-upper.jpg concurrent +2022-08-20 09:37:09 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 0 gesture: 0 object: 0 person: 1 {"score":0.96,"gender":"unknown"} {} {"score":0.75,"keypoints":7} +2022-08-20 09:37:09 DATA:  test-node-gpu.js result: performance: load: null total: 315 +2022-08-20 09:37:09 STATE: test-node-gpu.js event: detect +2022-08-20 09:37:09 STATE: test-node-gpu.js event: detect +2022-08-20 09:37:09 STATE: test-node-gpu.js passed: detect: samples/in/ai-face.jpg concurrent +2022-08-20 09:37:09 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 1 gesture: 0 object: 0 person: 1 {"score":0.91,"gender":"unknown"} {} {"score":0.47,"keypoints":3} +2022-08-20 09:37:09 DATA:  test-node-gpu.js result: performance: load: null total: 315 +2022-08-20 09:37:09 STATE: test-node-gpu.js passed: detect: samples/in/ai-body.jpg concurrent +2022-08-20 09:37:09 DATA:  test-node-gpu.js result: face: 1 body: 1 hand: 1 gesture: 0 object: 0 person: 1 {"score":0.93,"gender":"unknown"} {} {"score":0.92,"keypoints":17} +2022-08-20 09:37:09 DATA:  test-node-gpu.js result: performance: load: null total: 315 +2022-08-20 09:37:09 INFO:  test-node-gpu.js test: monkey-patch +2022-08-20 09:37:09 STATE: test-node-gpu.js event: image +2022-08-20 09:37:09 STATE: test-node-gpu.js event: detect +2022-08-20 09:37:09 STATE: test-node-gpu.js passed: monkey patch +2022-08-20 09:37:09 STATE: test-node-gpu.js passed: segmentation [65536] +2022-08-20 09:37:09 STATE: test-node-gpu.js passeed: equal usage +2022-08-20 09:37:09 INFO:  test-node-gpu.js test: input compare +2022-08-20 09:37:09 STATE: test-node-gpu.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34696120} +2022-08-20 09:37:09 STATE: test-node-gpu.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1004796928} +2022-08-20 09:37:09 STATE: test-node-gpu.js passed: image compare 0 23.275441687091504 +2022-08-20 09:37:09 INFO:  test-node-gpu.js events: {"image":29,"detect":29,"warmup":2} +2022-08-20 09:37:09 INFO:  test-node-gpu.js tensors 4105 +2022-08-20 09:37:09 INFO:  test-node-gpu.js test complete: 17997 ms +2022-08-20 09:37:10 INFO:  +2022-08-20 09:37:10 INFO:  test-node-wasm.js start +2022-08-20 09:37:11 DATA:  test-node-wasm.js stdout: 2022-08-20 09:37:11 INFO:  { supported: true, backend: true, simd: true, multithread: false } +2022-08-20 09:37:11 STATE: test-node-wasm.js passed: model server: https://vladmandic.github.io/human/models/ +2022-08-20 09:37:11 INFO:  test-node-wasm.js test: configuration validation +2022-08-20 09:37:11 STATE: test-node-wasm.js passed: configuration default validation [] +2022-08-20 09:37:11 STATE: test-node-wasm.js passed: configuration invalid validation [{"reason":"unknown property","where":"config.invalid = true"}] +2022-08-20 09:37:11 INFO:  test-node-wasm.js test: model load +2022-08-20 09:37:13 STATE: test-node-wasm.js passed: models loaded 23 12 [{"name":"ssrnetage","loaded":false,"url":null},{"name":"gear","loaded":false,"url":null},{"name":"blazeposedetect","loaded":false,"url":null},{"name":"blazepose","loaded":false,"url":null},{"name":"centernet","loaded":true,"url":"https://vladmandic.github.io/human/models/mb3-centernet.json"},{"name":"efficientpose","loaded":false,"url":null},{"name":"mobilefacenet","loaded":false,"url":null},{"name":"insightface","loaded":false,"url":null},{"name":"emotion","loaded":true,"url":"https://vladmandic.github.io/human/models/emotion.json"},{"name":"facedetect","loaded":true,"url":"https://vladmandic.github.io/human/models/blazeface.json"},{"name":"faceiris","loaded":true,"url":"https://vladmandic.github.io/human/models/iris.json"},{"name":"facemesh","loaded":true,"url":"https://vladmandic.github.io/human/models/facemesh.json"},{"name":"faceres","loaded":true,"url":"https://vladmandic.github.io/human/models/faceres.json"},{"name":"ssrnetgender","loaded":false,"url":null},{"name":"handpose","loaded":false,"url":null},{"name":"handskeleton","loaded":true,"url":"https://vladmandic.github.io/human/models/handlandmark-full.json"},{"name":"handtrack","loaded":true,"url":"https://vladmandic.github.io/human/models/handtrack.json"},{"name":"liveness","loaded":true,"url":"https://vladmandic.github.io/human/models/liveness.json"},{"name":"movenet","loaded":true,"url":"https://vladmandic.github.io/human/models/movenet-lightning.json"},{"name":"nanodet","loaded":false,"url":null},{"name":"posenet","loaded":false,"url":null},{"name":"segmentation","loaded":true,"url":"https://vladmandic.github.io/human/models/selfie.json"},{"name":"antispoof","loaded":true,"url":"https://vladmandic.github.io/human/models/antispoof.json"}] +2022-08-20 09:37:13 INFO:  test-node-wasm.js test: warmup +2022-08-20 09:37:13 STATE: test-node-wasm.js passed: create human +2022-08-20 09:37:13 INFO:  test-node-wasm.js human version: 2.9.4 +2022-08-20 09:37:13 INFO:  test-node-wasm.js platform: linux x64 agent: NodeJS v18.1.0 +2022-08-20 09:37:13 INFO:  test-node-wasm.js tfjs version: 3.19.0 +2022-08-20 09:37:13 INFO:  test-node-wasm.js env: {"browser":false,"node":true,"platform":"linux x64","agent":"NodeJS v18.1.0","backends":["cpu","wasm"],"initial":false,"tfjs":{"version":"3.19.0"},"offscreen":false,"perfadd":false,"tensorflow":{},"wasm":{"supported":true,"backend":true,"simd":true,"multithread":false},"webgl":{"supported":false,"backend":false},"webgpu":{"supported":false,"backend":false},"cpu":{"flags":[]},"kernels":126} +2022-08-20 09:37:13 STATE: test-node-wasm.js passed: set backend: wasm +2022-08-20 09:37:13 STATE: test-node-wasm.js tensors 1921 +2022-08-20 09:37:13 STATE: test-node-wasm.js passed: load models +2022-08-20 09:37:13 STATE: test-node-wasm.js result: defined models: 23 loaded models: 12 +2022-08-20 09:37:13 STATE: test-node-wasm.js passed: warmup: none default +2022-08-20 09:37:13 DATA:  test-node-wasm.js result: face: 0 body: 0 hand: 0 gesture: 0 object: 0 person: 0 {} {} {} +2022-08-20 09:37:13 DATA:  test-node-wasm.js result: performance: load: null total: null +2022-08-20 09:37:13 STATE: test-node-wasm.js passed: warmup none result match +2022-08-20 09:37:13 STATE: test-node-wasm.js event: image +2022-08-20 09:37:13 STATE: test-node-wasm.js event: detect +2022-08-20 09:37:13 STATE: test-node-wasm.js event: warmup +2022-08-20 09:37:13 STATE: test-node-wasm.js passed: warmup: face default +2022-08-20 09:37:13 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 1 gesture: 6 object: 1 person: 1 {"score":1,"age":23.5,"gender":"female"} {"score":0.82,"class":"person"} {"score":0.47,"keypoints":3} +2022-08-20 09:37:13 DATA:  test-node-wasm.js result: performance: load: null total: 561 +2022-08-20 09:37:13 STATE: test-node-wasm.js passed: warmup face result match +2022-08-20 09:37:13 STATE: test-node-wasm.js event: image +2022-08-20 09:37:14 STATE: test-node-wasm.js event: detect +2022-08-20 09:37:14 STATE: test-node-wasm.js event: warmup +2022-08-20 09:37:14 STATE: test-node-wasm.js passed: warmup: body default +2022-08-20 09:37:14 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 1 gesture: 7 object: 1 person: 1 {"score":1,"age":23.7,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} +2022-08-20 09:37:14 DATA:  test-node-wasm.js result: performance: load: null total: 396 +2022-08-20 09:37:14 STATE: test-node-wasm.js passed: warmup body result match +2022-08-20 09:37:14 STATE: test-node-wasm.js details: {"face":{"boxScore":0.93,"faceScore":1,"age":23.7,"gender":"female","genderScore":0.97},"emotion":[{"score":0.59,"emotion":"angry"},{"score":0.29,"emotion":"fear"}],"body":{"score":0.92,"keypoints":17},"hand":{"boxScore":0.51,"fingerScore":0.73,"keypoints":21},"gestures":[{"face":0,"gesture":"facing right"},{"face":0,"gesture":"mouth 21% open"},{"hand":0,"gesture":"pinky forward"},{"hand":0,"gesture":"palm up"},{"hand":0,"gesture":"open palm"},{"iris":0,"gesture":"looking left"},{"iris":0,"gesture":"looking up"}]} +2022-08-20 09:37:14 INFO:  test-node-wasm.js test: details verification +2022-08-20 09:37:14 STATE: test-node-wasm.js start default +2022-08-20 09:37:14 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1038921856} +2022-08-20 09:37:14 STATE: test-node-wasm.js event: image +2022-08-20 09:37:14 STATE: test-node-wasm.js event: detect +2022-08-20 09:37:14 STATE: test-node-wasm.js passed: detect: samples/in/ai-body.jpg default +2022-08-20 09:37:14 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 1 gesture: 7 object: 1 person: 1 {"score":1,"age":23.7,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} +2022-08-20 09:37:14 DATA:  test-node-wasm.js result: performance: load: null total: 342 +2022-08-20 09:37:14 STATE: test-node-wasm.js passed: details face length 1 +2022-08-20 09:37:14 STATE: test-node-wasm.js passed: details face score 1 0.93 1 +2022-08-20 09:37:14 STATE: test-node-wasm.js passed: details face age/gender 23.7 female 0.97 85.47 +2022-08-20 09:37:14 STATE: test-node-wasm.js passed: details face arrays 4 478 1024 +2022-08-20 09:37:14 STATE: test-node-wasm.js passed: details face emotion 2 {"score":0.59,"emotion":"angry"} +2022-08-20 09:37:14 STATE: test-node-wasm.js passed: details face anti-spoofing 0.79 +2022-08-20 09:37:14 STATE: test-node-wasm.js passed: details face liveness 0.83 +2022-08-20 09:37:14 STATE: test-node-wasm.js passed: details body length 1 +2022-08-20 09:37:14 STATE: test-node-wasm.js passed: details body 0.92 17 6 +2022-08-20 09:37:14 STATE: test-node-wasm.js passed: details hand length 1 +2022-08-20 09:37:14 STATE: test-node-wasm.js passed: details hand 0.51 0.73 point +2022-08-20 09:37:14 STATE: test-node-wasm.js passed: details hand arrays 21 5 7 +2022-08-20 09:37:14 STATE: test-node-wasm.js passed: details gesture length 7 +2022-08-20 09:37:14 STATE: test-node-wasm.js passed: details gesture first {"face":0,"gesture":"facing right"} +2022-08-20 09:37:14 STATE: test-node-wasm.js passed: details object length 1 +2022-08-20 09:37:14 STATE: test-node-wasm.js passed: details object 0.72 person +2022-08-20 09:37:15 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,4] {"checksum":1413675264} +2022-08-20 09:37:15 STATE: test-node-wasm.js event: image +2022-08-20 09:37:15 STATE: test-node-wasm.js event: detect +2022-08-20 09:37:15 STATE: test-node-wasm.js passed: tensor shape: [1,1200,1200,4] dtype: float32 +2022-08-20 09:37:15 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1200,1200,4] {"checksum":1413675264} +2022-08-20 09:37:15 STATE: test-node-wasm.js event: image +2022-08-20 09:37:15 STATE: test-node-wasm.js event: detect +2022-08-20 09:37:15 STATE: test-node-wasm.js passed: tensor shape: [1200,1200,4] dtype: float32 +2022-08-20 09:37:16 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1038921856} +2022-08-20 09:37:16 STATE: test-node-wasm.js event: image +2022-08-20 09:37:16 STATE: test-node-wasm.js event: detect +2022-08-20 09:37:16 STATE: test-node-wasm.js passed: tensor shape: [1,1200,1200,3] dtype: float32 +2022-08-20 09:37:16 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1200,1200,3] {"checksum":1038921856} +2022-08-20 09:37:16 STATE: test-node-wasm.js event: image +2022-08-20 09:37:17 STATE: test-node-wasm.js event: detect +2022-08-20 09:37:17 STATE: test-node-wasm.js passed: tensor shape: [1200,1200,3] dtype: float32 +2022-08-20 09:37:17 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,4] {"checksum":1371996871} +2022-08-20 09:37:17 STATE: test-node-wasm.js event: image +2022-08-20 09:37:17 STATE: test-node-wasm.js event: detect +2022-08-20 09:37:17 STATE: test-node-wasm.js passed: tensor shape: [1,1200,1200,4] dtype: int32 +2022-08-20 09:37:17 INFO:  test-node-wasm.js test default +2022-08-20 09:37:17 STATE: test-node-wasm.js start async +2022-08-20 09:37:17 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1038921856} +2022-08-20 09:37:17 STATE: test-node-wasm.js event: image +2022-08-20 09:37:18 STATE: test-node-wasm.js event: detect +2022-08-20 09:37:18 STATE: test-node-wasm.js passed: detect: samples/in/ai-body.jpg async +2022-08-20 09:37:18 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 1 gesture: 8 object: 1 person: 1 {"score":1,"age":29.6,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} +2022-08-20 09:37:18 DATA:  test-node-wasm.js result: performance: load: null total: 334 +2022-08-20 09:37:18 STATE: test-node-wasm.js passed: default result face match 1 female 0.97 +2022-08-20 09:37:18 INFO:  test-node-wasm.js test sync +2022-08-20 09:37:18 STATE: test-node-wasm.js start sync +2022-08-20 09:37:18 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1038921856} +2022-08-20 09:37:18 STATE: test-node-wasm.js event: image +2022-08-20 09:37:18 STATE: test-node-wasm.js event: detect +2022-08-20 09:37:18 STATE: test-node-wasm.js passed: detect: samples/in/ai-body.jpg sync +2022-08-20 09:37:18 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 1 gesture: 8 object: 1 person: 1 {"score":1,"age":29.6,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} +2022-08-20 09:37:18 DATA:  test-node-wasm.js result: performance: load: null total: 327 +2022-08-20 09:37:18 STATE: test-node-wasm.js passed: default sync 1 female 0.97 +2022-08-20 09:37:18 INFO:  test-node-wasm.js test: image process +2022-08-20 09:37:18 STATE: test-node-wasm.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34697856} +2022-08-20 09:37:18 STATE: test-node-wasm.js passed: image input null [1,256,256,3] +2022-08-20 09:37:18 INFO:  test-node-wasm.js test: image null +2022-08-20 09:37:18 STATE: test-node-wasm.js passed: invalid input could not convert input to tensor +2022-08-20 09:37:18 INFO:  test-node-wasm.js test face similarity +2022-08-20 09:37:18 STATE: test-node-wasm.js start face similarity +2022-08-20 09:37:18 STATE: test-node-wasm.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34697856} +2022-08-20 09:37:18 STATE: test-node-wasm.js event: image +2022-08-20 09:37:19 STATE: test-node-wasm.js event: detect +2022-08-20 09:37:19 STATE: test-node-wasm.js passed: detect: samples/in/ai-face.jpg face similarity +2022-08-20 09:37:19 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 1 gesture: 6 object: 1 person: 1 {"score":1,"age":23.5,"gender":"female"} {"score":0.82,"class":"person"} {"score":0.47,"keypoints":3} +2022-08-20 09:37:19 DATA:  test-node-wasm.js result: performance: load: null total: 304 +2022-08-20 09:37:19 STATE: test-node-wasm.js start face similarity +2022-08-20 09:37:19 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1038921856} +2022-08-20 09:37:19 STATE: test-node-wasm.js event: image +2022-08-20 09:37:19 STATE: test-node-wasm.js event: detect +2022-08-20 09:37:19 STATE: test-node-wasm.js passed: detect: samples/in/ai-body.jpg face similarity +2022-08-20 09:37:19 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 1 gesture: 8 object: 1 person: 1 {"score":1,"age":29.6,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} +2022-08-20 09:37:19 DATA:  test-node-wasm.js result: performance: load: null total: 325 +2022-08-20 09:37:19 STATE: test-node-wasm.js start face similarity +2022-08-20 09:37:19 STATE: test-node-wasm.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151155104} +2022-08-20 09:37:19 STATE: test-node-wasm.js event: image +2022-08-20 09:37:19 STATE: test-node-wasm.js event: detect +2022-08-20 09:37:19 STATE: test-node-wasm.js passed: detect: samples/in/ai-upper.jpg face similarity +2022-08-20 09:37:19 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 0 gesture: 4 object: 1 person: 1 {"score":1,"age":23.5,"gender":"female"} {"score":0.71,"class":"person"} {"score":0.75,"keypoints":7} +2022-08-20 09:37:19 DATA:  test-node-wasm.js result: performance: load: null total: 293 +2022-08-20 09:37:19 STATE: test-node-wasm.js passed: face descriptor +2022-08-20 09:37:19 STATE: test-node-wasm.js passed: face similarity {"similarity":[1,0.5266119940661309,0.4858842904087851],"descriptors":[1024,1024,1024]} +2022-08-20 09:37:19 INFO:  test-node-wasm.js test object +2022-08-20 09:37:19 STATE: test-node-wasm.js start object +2022-08-20 09:37:20 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1038921856} +2022-08-20 09:37:20 STATE: test-node-wasm.js event: image +2022-08-20 09:37:20 STATE: test-node-wasm.js event: detect +2022-08-20 09:37:20 STATE: test-node-wasm.js passed: detect: samples/in/ai-body.jpg object +2022-08-20 09:37:20 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 1 gesture: 8 object: 1 person: 1 {"score":1,"age":29.6,"gender":"female"} {"score":0.72,"class":"person"} {"score":0.92,"keypoints":17} +2022-08-20 09:37:20 DATA:  test-node-wasm.js result: performance: load: null total: 321 +2022-08-20 09:37:20 STATE: test-node-wasm.js passed: centernet +2022-08-20 09:37:20 STATE: test-node-wasm.js start object +2022-08-20 09:37:21 WARN:  test-node-wasm.js missing kernel ops {"title":"object","model":"nanodet","url":"https://vladmandic.github.io/human-models/models/nanodet.json","missing":["sparsetodense"],"backkend":"wasm"} +2022-08-20 09:37:21 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1038921856} +2022-08-20 09:37:21 STATE: test-node-wasm.js event: image +2022-08-20 09:37:21 STATE: test-node-wasm.js event: detect +2022-08-20 09:37:21 STATE: test-node-wasm.js passed: detect: samples/in/ai-body.jpg object +2022-08-20 09:37:21 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 1 gesture: 8 object: 0 person: 1 {"score":1,"age":29.6,"gender":"female"} {} {"score":0.92,"keypoints":17} +2022-08-20 09:37:21 DATA:  test-node-wasm.js result: performance: load: null total: 213 +2022-08-20 09:37:21 ERROR: test-node-wasm.js failed: nanodet [] +2022-08-20 09:37:21 INFO:  test-node-wasm.js test sensitive +2022-08-20 09:37:21 STATE: test-node-wasm.js start sensitive +2022-08-20 09:37:21 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1038921856} +2022-08-20 09:37:21 STATE: test-node-wasm.js event: image +2022-08-20 09:37:22 STATE: test-node-wasm.js event: detect +2022-08-20 09:37:22 STATE: test-node-wasm.js passed: detect: samples/in/ai-body.jpg sensitive +2022-08-20 09:37:22 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 2 gesture: 10 object: 0 person: 1 {"score":1,"age":29.6,"gender":"female"} {} {"score":0.92,"keypoints":17} +2022-08-20 09:37:22 DATA:  test-node-wasm.js result: performance: load: null total: 235 +2022-08-20 09:37:22 STATE: test-node-wasm.js passed: sensitive result match +2022-08-20 09:37:22 STATE: test-node-wasm.js passed: sensitive face result match +2022-08-20 09:37:22 STATE: test-node-wasm.js passed: sensitive face emotion result [{"score":0.46,"emotion":"neutral"},{"score":0.24,"emotion":"fear"},{"score":0.17,"emotion":"sad"}] +2022-08-20 09:37:22 STATE: test-node-wasm.js passed: sensitive body result match +2022-08-20 09:37:22 STATE: test-node-wasm.js passed: sensitive hand result match +2022-08-20 09:37:22 INFO:  test-node-wasm.js test body +2022-08-20 09:37:22 STATE: test-node-wasm.js start blazepose +2022-08-20 09:37:23 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1038921856} +2022-08-20 09:37:23 STATE: test-node-wasm.js event: image +2022-08-20 09:37:24 STATE: test-node-wasm.js event: detect +2022-08-20 09:37:24 STATE: test-node-wasm.js passed: detect: samples/in/ai-body.jpg blazepose +2022-08-20 09:37:24 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 2 gesture: 10 object: 0 person: 1 {"score":1,"age":29.6,"gender":"female"} {} {"score":0.99,"keypoints":39} +2022-08-20 09:37:24 DATA:  test-node-wasm.js result: performance: load: null total: 389 +2022-08-20 09:37:24 STATE: test-node-wasm.js passed: blazepose +2022-08-20 09:37:24 STATE: test-node-wasm.js start efficientpose +2022-08-20 09:37:24 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1038921856} +2022-08-20 09:37:24 STATE: test-node-wasm.js event: image +2022-08-20 09:37:25 STATE: test-node-wasm.js event: detect +2022-08-20 09:37:25 STATE: test-node-wasm.js passed: detect: samples/in/ai-body.jpg efficientpose +2022-08-20 09:37:25 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 2 gesture: 10 object: 0 person: 1 {"score":1,"age":29.6,"gender":"female"} {} {"score":0.75,"keypoints":13} +2022-08-20 09:37:25 DATA:  test-node-wasm.js result: performance: load: null total: 636 +2022-08-20 09:37:25 STATE: test-node-wasm.js passed: efficientpose +2022-08-20 09:37:25 STATE: test-node-wasm.js start posenet +2022-08-20 09:37:25 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1038921856} +2022-08-20 09:37:25 STATE: test-node-wasm.js event: image +2022-08-20 09:37:26 STATE: test-node-wasm.js event: detect +2022-08-20 09:37:26 STATE: test-node-wasm.js passed: detect: samples/in/ai-body.jpg posenet +2022-08-20 09:37:26 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 2 gesture: 10 object: 0 person: 1 {"score":1,"age":29.6,"gender":"female"} {} {"score":0.96,"keypoints":16} +2022-08-20 09:37:26 DATA:  test-node-wasm.js result: performance: load: null total: 281 +2022-08-20 09:37:26 STATE: test-node-wasm.js passed: posenet +2022-08-20 09:37:26 STATE: test-node-wasm.js start movenet +2022-08-20 09:37:26 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1038921856} +2022-08-20 09:37:26 STATE: test-node-wasm.js event: image +2022-08-20 09:37:26 STATE: test-node-wasm.js event: detect +2022-08-20 09:37:26 STATE: test-node-wasm.js passed: detect: samples/in/ai-body.jpg movenet +2022-08-20 09:37:26 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 2 gesture: 10 object: 0 person: 1 {"score":1,"age":29.6,"gender":"female"} {} {"score":0.92,"keypoints":17} +2022-08-20 09:37:26 DATA:  test-node-wasm.js result: performance: load: null total: 235 +2022-08-20 09:37:26 STATE: test-node-wasm.js passed: movenet +2022-08-20 09:37:26 INFO:  test-node-wasm.js test face matching +2022-08-20 09:37:26 STATE: test-node-wasm.js passed: face database 40 +2022-08-20 09:37:26 STATE: test-node-wasm.js passed: face match {"first":{"index":4,"similarity":0.7827852754786533}} {"second":{"index":4,"similarity":0.5660821189104794}} {"third":{"index":4,"similarity":0.45074189882665594}} +2022-08-20 09:37:26 INFO:  test-node-wasm.js test face similarity alternative +2022-08-20 09:37:26 STATE: test-node-wasm.js start face embeddings +2022-08-20 09:37:26 STATE: test-node-wasm.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34697856} +2022-08-20 09:37:26 STATE: test-node-wasm.js event: image +2022-08-20 09:37:27 STATE: test-node-wasm.js event: detect +2022-08-20 09:37:27 STATE: test-node-wasm.js passed: detect: samples/in/ai-face.jpg face embeddings +2022-08-20 09:37:27 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 2 gesture: 8 object: 0 person: 1 {"score":1,"age":23.5,"gender":"female"} {} {"score":0.47,"keypoints":3} +2022-08-20 09:37:27 DATA:  test-node-wasm.js result: performance: load: null total: 235 +2022-08-20 09:37:27 STATE: test-node-wasm.js passed: mobilefacenet {"embedding":192} +2022-08-20 09:37:27 STATE: test-node-wasm.js start face embeddings +2022-08-20 09:37:27 STATE: test-node-wasm.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34697856} +2022-08-20 09:37:27 STATE: test-node-wasm.js event: image +2022-08-20 09:37:27 STATE: test-node-wasm.js event: detect +2022-08-20 09:37:27 STATE: test-node-wasm.js passed: detect: samples/in/ai-face.jpg face embeddings +2022-08-20 09:37:27 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 2 gesture: 8 object: 0 person: 1 {"score":1,"age":23.5,"gender":"female"} {} {"score":0.47,"keypoints":3} +2022-08-20 09:37:27 DATA:  test-node-wasm.js result: performance: load: null total: 278 +2022-08-20 09:37:27 STATE: test-node-wasm.js passed: insightface {"embedding":512} +2022-08-20 09:37:27 INFO:  test-node-wasm.js test face attention +2022-08-20 09:37:27 STATE: test-node-wasm.js start face attention +2022-08-20 09:37:28 WARN:  test-node-wasm.js missing kernel ops {"title":"face attention","model":"facemesh","url":"https://vladmandic.github.io/human-models/models/facemesh-attention.json","missing":["atan2"],"backkend":"wasm"} +2022-08-20 09:37:28 STATE: test-node-wasm.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34697856} +2022-08-20 09:37:28 STATE: test-node-wasm.js event: image +2022-08-20 09:37:28 STATE: test-node-wasm.js event: detect +2022-08-20 09:37:28 STATE: test-node-wasm.js passed: detect: samples/in/ai-face.jpg face attention +2022-08-20 09:37:28 DATA:  test-node-wasm.js result: face: 0 body: 1 hand: 1 gesture: 2 object: 0 person: 0 {} {} {"score":0.47,"keypoints":3} +2022-08-20 09:37:28 DATA:  test-node-wasm.js result: performance: load: null total: 119 +2022-08-20 09:37:28 ERROR: test-node-wasm.js failed: face attention {"annotations":0} +2022-08-20 09:37:28 INFO:  test-node-wasm.js test detectors +2022-08-20 09:37:28 STATE: test-node-wasm.js start detectors +2022-08-20 09:37:28 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1038921856} +2022-08-20 09:37:28 STATE: test-node-wasm.js event: image +2022-08-20 09:37:28 STATE: test-node-wasm.js event: detect +2022-08-20 09:37:28 STATE: test-node-wasm.js passed: detect: samples/in/ai-body.jpg detectors +2022-08-20 09:37:28 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 1 gesture: 0 object: 0 person: 1 {"score":0.93,"gender":"unknown"} {} {"score":0.92,"keypoints":17} +2022-08-20 09:37:28 DATA:  test-node-wasm.js result: performance: load: null total: 114 +2022-08-20 09:37:28 STATE: test-node-wasm.js passed: detector result face match +2022-08-20 09:37:28 STATE: test-node-wasm.js passed: detector result hand match +2022-08-20 09:37:28 INFO:  test-node-wasm.js test: multi-instance +2022-08-20 09:37:28 STATE: test-node-wasm.js start multi instance +2022-08-20 09:37:28 STATE: test-node-wasm.js event: image +2022-08-20 09:37:28 STATE: test-node-wasm.js event: detect +2022-08-20 09:37:28 STATE: test-node-wasm.js passed: detect: random multi instance +2022-08-20 09:37:28 DATA:  test-node-wasm.js result: face: 0 body: 1 hand: 0 gesture: 0 object: 0 person: 0 {} {} {"score":0,"keypoints":0} +2022-08-20 09:37:28 DATA:  test-node-wasm.js result: performance: load: null total: 97 +2022-08-20 09:37:28 INFO:  test-node-wasm.js test: first instance +2022-08-20 09:37:28 STATE: test-node-wasm.js start multi instance +2022-08-20 09:37:28 STATE: test-node-wasm.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151155104} +2022-08-20 09:37:29 STATE: test-node-wasm.js passed: detect: samples/in/ai-upper.jpg multi instance +2022-08-20 09:37:29 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 0 gesture: 0 object: 0 person: 1 {"score":0.96,"gender":"unknown"} {} {"score":0.75,"keypoints":7} +2022-08-20 09:37:29 DATA:  test-node-wasm.js result: performance: load: null total: 110 +2022-08-20 09:37:29 INFO:  test-node-wasm.js test: second instance +2022-08-20 09:37:29 STATE: test-node-wasm.js start multi instance +2022-08-20 09:37:29 STATE: test-node-wasm.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151155104} +2022-08-20 09:37:29 STATE: test-node-wasm.js passed: detect: samples/in/ai-upper.jpg multi instance +2022-08-20 09:37:29 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 0 gesture: 0 object: 0 person: 1 {"score":0.96,"gender":"unknown"} {} {"score":0.75,"keypoints":7} +2022-08-20 09:37:29 DATA:  test-node-wasm.js result: performance: load: null total: 106 +2022-08-20 09:37:29 INFO:  test-node-wasm.js test: concurrent +2022-08-20 09:37:29 STATE: test-node-wasm.js start concurrent +2022-08-20 09:37:29 STATE: test-node-wasm.js start concurrent +2022-08-20 09:37:29 STATE: test-node-wasm.js start concurrent +2022-08-20 09:37:29 STATE: test-node-wasm.js start concurrent +2022-08-20 09:37:29 STATE: test-node-wasm.js start concurrent +2022-08-20 09:37:29 STATE: test-node-wasm.js start concurrent +2022-08-20 09:37:29 STATE: test-node-wasm.js start concurrent +2022-08-20 09:37:29 STATE: test-node-wasm.js start concurrent +2022-08-20 09:37:29 STATE: test-node-wasm.js start concurrent +2022-08-20 09:37:29 STATE: test-node-wasm.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34697856} +2022-08-20 09:37:29 STATE: test-node-wasm.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34697856} +2022-08-20 09:37:29 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1038921856} +2022-08-20 09:37:29 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1038921856} +2022-08-20 09:37:29 STATE: test-node-wasm.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151155104} +2022-08-20 09:37:29 STATE: test-node-wasm.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151155104} +2022-08-20 09:37:29 STATE: test-node-wasm.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34697856} +2022-08-20 09:37:30 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1038921856} +2022-08-20 09:37:30 STATE: test-node-wasm.js passed: load image: samples/in/ai-upper.jpg [1,720,688,3] {"checksum":151155104} +2022-08-20 09:37:30 STATE: test-node-wasm.js event: image +2022-08-20 09:37:30 STATE: test-node-wasm.js event: image +2022-08-20 09:37:30 STATE: test-node-wasm.js event: image +2022-08-20 09:37:31 STATE: test-node-wasm.js passed: detect: samples/in/ai-upper.jpg concurrent +2022-08-20 09:37:31 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 0 gesture: 0 object: 0 person: 1 {"score":0.96,"gender":"unknown"} {} {"score":0.75,"keypoints":7} +2022-08-20 09:37:31 DATA:  test-node-wasm.js result: performance: load: null total: 1283 +2022-08-20 09:37:31 STATE: test-node-wasm.js passed: detect: samples/in/ai-upper.jpg concurrent +2022-08-20 09:37:31 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 0 gesture: 0 object: 0 person: 1 {"score":0.96,"gender":"unknown"} {} {"score":0.75,"keypoints":7} +2022-08-20 09:37:31 DATA:  test-node-wasm.js result: performance: load: null total: 1283 +2022-08-20 09:37:31 STATE: test-node-wasm.js passed: detect: samples/in/ai-face.jpg concurrent +2022-08-20 09:37:31 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 1 gesture: 0 object: 0 person: 1 {"score":0.91,"gender":"unknown"} {} {"score":0.47,"keypoints":3} +2022-08-20 09:37:31 DATA:  test-node-wasm.js result: performance: load: null total: 1284 +2022-08-20 09:37:31 STATE: test-node-wasm.js passed: detect: samples/in/ai-face.jpg concurrent +2022-08-20 09:37:31 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 1 gesture: 0 object: 0 person: 1 {"score":0.91,"gender":"unknown"} {} {"score":0.47,"keypoints":3} +2022-08-20 09:37:31 DATA:  test-node-wasm.js result: performance: load: null total: 1284 +2022-08-20 09:37:31 STATE: test-node-wasm.js passed: detect: samples/in/ai-body.jpg concurrent +2022-08-20 09:37:31 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 1 gesture: 0 object: 0 person: 1 {"score":0.93,"gender":"unknown"} {} {"score":0.92,"keypoints":17} +2022-08-20 09:37:31 DATA:  test-node-wasm.js result: performance: load: null total: 1284 +2022-08-20 09:37:31 STATE: test-node-wasm.js passed: detect: samples/in/ai-body.jpg concurrent +2022-08-20 09:37:31 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 1 gesture: 0 object: 0 person: 1 {"score":0.93,"gender":"unknown"} {} {"score":0.92,"keypoints":17} +2022-08-20 09:37:31 DATA:  test-node-wasm.js result: performance: load: null total: 1284 +2022-08-20 09:37:31 STATE: test-node-wasm.js event: detect +2022-08-20 09:37:31 STATE: test-node-wasm.js passed: detect: samples/in/ai-upper.jpg concurrent +2022-08-20 09:37:31 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 0 gesture: 0 object: 0 person: 1 {"score":0.96,"gender":"unknown"} {} {"score":0.75,"keypoints":7} +2022-08-20 09:37:31 DATA:  test-node-wasm.js result: performance: load: null total: 972 +2022-08-20 09:37:31 STATE: test-node-wasm.js event: detect +2022-08-20 09:37:31 STATE: test-node-wasm.js event: detect +2022-08-20 09:37:31 STATE: test-node-wasm.js passed: detect: samples/in/ai-face.jpg concurrent +2022-08-20 09:37:31 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 1 gesture: 0 object: 0 person: 1 {"score":0.91,"gender":"unknown"} {} {"score":0.47,"keypoints":3} +2022-08-20 09:37:31 DATA:  test-node-wasm.js result: performance: load: null total: 972 +2022-08-20 09:37:31 STATE: test-node-wasm.js passed: detect: samples/in/ai-body.jpg concurrent +2022-08-20 09:37:31 DATA:  test-node-wasm.js result: face: 1 body: 1 hand: 1 gesture: 0 object: 0 person: 1 {"score":0.93,"gender":"unknown"} {} {"score":0.92,"keypoints":17} +2022-08-20 09:37:31 DATA:  test-node-wasm.js result: performance: load: null total: 972 +2022-08-20 09:37:31 INFO:  test-node-wasm.js test: monkey-patch +2022-08-20 09:37:31 STATE: test-node-wasm.js event: image +2022-08-20 09:37:31 STATE: test-node-wasm.js event: detect +2022-08-20 09:37:31 STATE: test-node-wasm.js passed: monkey patch +2022-08-20 09:37:31 STATE: test-node-wasm.js passed: segmentation [65536] +2022-08-20 09:37:31 STATE: test-node-wasm.js passeed: equal usage +2022-08-20 09:37:31 INFO:  test-node-wasm.js test: input compare +2022-08-20 09:37:31 STATE: test-node-wasm.js passed: load image: samples/in/ai-face.jpg [1,256,256,3] {"checksum":34697856} +2022-08-20 09:37:31 STATE: test-node-wasm.js passed: load image: samples/in/ai-body.jpg [1,1200,1200,3] {"checksum":1038921856} +2022-08-20 09:37:31 STATE: test-node-wasm.js passed: image compare 0 23.280073018790848 +2022-08-20 09:37:31 INFO:  test-node-wasm.js events: {"image":29,"detect":29,"warmup":2} +2022-08-20 09:37:31 INFO:  test-node-wasm.js tensors 4107 +2022-08-20 09:37:31 INFO:  test-node-wasm.js test complete: 19995 ms +2022-08-20 09:37:31 STATE: all tests complete +2022-08-20 09:37:31 INFO:  status {"test":"../demo/nodejs/node.js","passed":1,"failed":0} +2022-08-20 09:37:31 INFO:  status {"test":"../demo/nodejs/node-simple.js","passed":1,"failed":0} +2022-08-20 09:37:31 INFO:  status {"test":"../demo/nodejs/node-fetch.js","passed":1,"failed":0} +2022-08-20 09:37:31 INFO:  status {"test":"../demo/nodejs/node-event.js","passed":1,"failed":0} +2022-08-20 09:37:31 INFO:  status {"test":"../demo/nodejs/node-similarity.js","passed":1,"failed":0} +2022-08-20 09:37:31 INFO:  status {"test":"../demo/nodejs/node-canvas.js","passed":1,"failed":0} +2022-08-20 09:37:31 INFO:  status {"test":"../demo/multithread/node-multiprocess.js","passed":1,"failed":0} +2022-08-20 09:37:31 INFO:  status {"test":"../demo/facematch/node-match.js","passed":1,"failed":0} +2022-08-20 09:37:31 INFO:  status {"test":"test-node.js","passed":125,"failed":0} +2022-08-20 09:37:31 INFO:  status {"test":"test-node-gpu.js","passed":125,"failed":0} +2022-08-20 09:37:31 INFO:  status {"test":"test-node-wasm.js","passed":124,"failed":2} +2022-08-20 09:37:31 INFO:  failures {"count":2} +2022-08-20 09:37:31 WARN:  failed {"test":"test-node-wasm.js","message":["error",["failed: nanodet",[]]]} +2022-08-20 09:37:31 WARN:  failed {"test":"test-node-wasm.js","message":["error",["failed: face attention",{"annotations":0}]]} diff --git a/typedoc/classes/Env.html b/typedoc/classes/Env.html index 89256e7d..0cb6e0ba 100644 --- a/typedoc/classes/Env.html +++ b/typedoc/classes/Env.html @@ -1,16 +1,16 @@ -Env | @vladmandic/human - v2.9.3
+Env | @vladmandic/human - v2.9.4
+
  • The search index is not available
    • @vladmandic/human - v2.9.4

    Class Env

    @@ -299,7 +299,7 @@

    Modules

      -
    • @vladmandic/human - v2.9.3 +
    • @vladmandic/human - v2.9.4
      • Tensor
      • draw
        • diff --git a/typedoc/classes/GraphModel.html b/typedoc/classes/GraphModel.html index 275fab32..cee4be3e 100644 --- a/typedoc/classes/GraphModel.html +++ b/typedoc/classes/GraphModel.html @@ -1,16 +1,16 @@ -GraphModel | @vladmandic/human - v2.9.3
        +GraphModel | @vladmandic/human - v2.9.4
        +
      • The search index is not available
      @vladmandic/human - v2.9.4

    Class GraphModel<ModelURL>

    @@ -383,7 +383,7 @@ scheme-based string shortcut for IOHandler.

    Modules

      -
    • @vladmandic/human - v2.9.3 +
    • @vladmandic/human - v2.9.4
      • Tensor
      • draw
        • diff --git a/typedoc/classes/Human.html b/typedoc/classes/Human.html index 153d3211..cb48871e 100644 --- a/typedoc/classes/Human.html +++ b/typedoc/classes/Human.html @@ -1,16 +1,16 @@ -Human | @vladmandic/human - v2.9.3
        +Human | @vladmandic/human - v2.9.4
        +
      • The search index is not available
      @vladmandic/human - v2.9.4

    Class Human

    @@ -820,7 +820,7 @@ Interpolation is based on time since last known result so can be called independ

    Modules

      -
    • @vladmandic/human - v2.9.3 +
    • @vladmandic/human - v2.9.4
      • Tensor
      • draw
        • diff --git a/typedoc/classes/Tensor-1.html b/typedoc/classes/Tensor-1.html index 79e7963a..38e7e717 100644 --- a/typedoc/classes/Tensor-1.html +++ b/typedoc/classes/Tensor-1.html @@ -1,16 +1,16 @@ -Tensor | @vladmandic/human - v2.9.3
        +Tensor | @vladmandic/human - v2.9.4
        +
      • The search index is not available
      @vladmandic/human - v2.9.4

    Class Tensor<R>

    @@ -421,7 +421,7 @@ parameter, so can not use an user defined size to create the buffer.

    Modules

      -
    • @vladmandic/human - v2.9.3 +
    • @vladmandic/human - v2.9.4
      • Tensor
      • draw
        • diff --git a/typedoc/classes/models-1.Models.html b/typedoc/classes/models-1.Models.html index 4931e92b..a1f297ab 100644 --- a/typedoc/classes/models-1.Models.html +++ b/typedoc/classes/models-1.Models.html @@ -1,16 +1,16 @@ -Models | @vladmandic/human - v2.9.3
        +Models | @vladmandic/human - v2.9.4
        +
      • The search index is not available
      @vladmandic/human - v2.9.4

    Class Models

    @@ -205,7 +205,7 @@

    Modules

      -
    • @vladmandic/human - v2.9.3 +
    • @vladmandic/human - v2.9.4
      • Tensor
      • draw
        • diff --git a/typedoc/enums/Rank.html b/typedoc/enums/Rank.html index c8cd5d82..d35cb13d 100644 --- a/typedoc/enums/Rank.html +++ b/typedoc/enums/Rank.html @@ -1,16 +1,16 @@ -Rank | @vladmandic/human - v2.9.3
        +Rank | @vladmandic/human - v2.9.4
        +
      • The search index is not available
      @vladmandic/human - v2.9.4

    Enumeration Rank

    Function all

    @@ -48,7 +48,7 @@

    Modules

      -
    • @vladmandic/human - v2.9.3 +
    • @vladmandic/human - v2.9.4
      • Tensor
      • draw
        • diff --git a/typedoc/functions/draw.canvas.html b/typedoc/functions/draw.canvas.html index b89e5c85..201c2ae9 100644 --- a/typedoc/functions/draw.canvas.html +++ b/typedoc/functions/draw.canvas.html @@ -1,16 +1,16 @@ -canvas | @vladmandic/human - v2.9.3
        +canvas | @vladmandic/human - v2.9.4
        +
      • The search index is not available
      @vladmandic/human - v2.9.4

    Function canvas

    @@ -46,7 +46,7 @@

    Modules

      -
    • @vladmandic/human - v2.9.3 +
    • @vladmandic/human - v2.9.4
      • Tensor
      • draw
        • diff --git a/typedoc/functions/draw.person.html b/typedoc/functions/draw.person.html index 35f22931..afab5d6a 100644 --- a/typedoc/functions/draw.person.html +++ b/typedoc/functions/draw.person.html @@ -1,16 +1,16 @@ -person | @vladmandic/human - v2.9.3
        +person | @vladmandic/human - v2.9.4
        +
      • The search index is not available
      @vladmandic/human - v2.9.4

    Function person

    @@ -48,7 +48,7 @@

    Modules

      -
    • @vladmandic/human - v2.9.3 +
    • @vladmandic/human - v2.9.4
      • Tensor
      • draw
        • diff --git a/typedoc/functions/match.distance.html b/typedoc/functions/match.distance.html index f8bf6abe..7fa645ba 100644 --- a/typedoc/functions/match.distance.html +++ b/typedoc/functions/match.distance.html @@ -1,16 +1,16 @@ -distance | @vladmandic/human - v2.9.3
        +distance | @vladmandic/human - v2.9.4
        +
      • The search index is not available
      @vladmandic/human - v2.9.4

    Function distance

    @@ -56,7 +56,7 @@ default is 20 which normalizes results to similarity above 0.5 can be considered

    Modules

      -
    • @vladmandic/human - v2.9.3 +
    • @vladmandic/human - v2.9.4
      • Tensor
      • draw
        • diff --git a/typedoc/functions/match.match.html b/typedoc/functions/match.match.html index 3b408269..9d4f61ae 100644 --- a/typedoc/functions/match.match.html +++ b/typedoc/functions/match.match.html @@ -1,16 +1,16 @@ -match | @vladmandic/human - v2.9.3
        +match | @vladmandic/human - v2.9.4
        +
      • The search index is not available
      @vladmandic/human - v2.9.4

    Function match

    @@ -67,7 +67,7 @@ Returns

    Modules

      -
    • @vladmandic/human - v2.9.3 +
    • @vladmandic/human - v2.9.4
      • Tensor
      • draw
        • diff --git a/typedoc/functions/match.similarity.html b/typedoc/functions/match.similarity.html index a47578bc..0381d42a 100644 --- a/typedoc/functions/match.similarity.html +++ b/typedoc/functions/match.similarity.html @@ -1,16 +1,16 @@ -similarity | @vladmandic/human - v2.9.3
        +similarity | @vladmandic/human - v2.9.4
        +
      • The search index is not available
      @vladmandic/human - v2.9.4

    Function similarity

    @@ -60,7 +60,7 @@ Returns similarity between two face descriptors normalized to 0..1 range where 0

    Modules

      -
    • @vladmandic/human - v2.9.3 +
    • @vladmandic/human - v2.9.4
      • Tensor
      • draw
        • diff --git a/typedoc/functions/models-1.getModelStats.html b/typedoc/functions/models-1.getModelStats.html index 7d321892..30db59bc 100644 --- a/typedoc/functions/models-1.getModelStats.html +++ b/typedoc/functions/models-1.getModelStats.html @@ -1,16 +1,16 @@ -getModelStats | @vladmandic/human - v2.9.3
        +getModelStats | @vladmandic/human - v2.9.4
        +
      • The search index is not available
      @vladmandic/human - v2.9.4

    Function getModelStats

    @@ -42,7 +42,7 @@

    Modules

      -
    • @vladmandic/human - v2.9.3 +
    • @vladmandic/human - v2.9.4
      • Tensor
      • draw
        • diff --git a/typedoc/functions/models-1.load.html b/typedoc/functions/models-1.load.html index 93b79a10..994ff085 100644 --- a/typedoc/functions/models-1.load.html +++ b/typedoc/functions/models-1.load.html @@ -1,16 +1,16 @@ -load | @vladmandic/human - v2.9.3
        +load | @vladmandic/human - v2.9.4
        +
      • The search index is not available
      @vladmandic/human - v2.9.4

    Function load

    @@ -44,7 +44,7 @@

    Modules

      -
    • @vladmandic/human - v2.9.3 +
    • @vladmandic/human - v2.9.4
      • Tensor
      • draw
        • diff --git a/typedoc/functions/models-1.reset.html b/typedoc/functions/models-1.reset.html index 8277f0bb..8538940c 100644 --- a/typedoc/functions/models-1.reset.html +++ b/typedoc/functions/models-1.reset.html @@ -1,16 +1,16 @@ -reset | @vladmandic/human - v2.9.3
        +reset | @vladmandic/human - v2.9.4
        +
      • The search index is not available
      @vladmandic/human - v2.9.4

    Function reset

    @@ -42,7 +42,7 @@

    Modules

      -
    • @vladmandic/human - v2.9.3 +
    • @vladmandic/human - v2.9.4
      • Tensor
      • draw
        • diff --git a/typedoc/functions/models-1.validate.html b/typedoc/functions/models-1.validate.html index 8365fba9..6970d982 100644 --- a/typedoc/functions/models-1.validate.html +++ b/typedoc/functions/models-1.validate.html @@ -1,16 +1,16 @@ -validate | @vladmandic/human - v2.9.3
        +validate | @vladmandic/human - v2.9.4
        +
      • The search index is not available
      @vladmandic/human - v2.9.4

    Function validate

    @@ -42,7 +42,7 @@

    Modules

      -
    • @vladmandic/human - v2.9.3 +
    • @vladmandic/human - v2.9.4
      • Tensor
      • draw
        • diff --git a/typedoc/functions/models-1.validateModel.html b/typedoc/functions/models-1.validateModel.html index fc6a1a77..c35b4f1c 100644 --- a/typedoc/functions/models-1.validateModel.html +++ b/typedoc/functions/models-1.validateModel.html @@ -1,16 +1,16 @@ -validateModel | @vladmandic/human - v2.9.3
        +validateModel | @vladmandic/human - v2.9.4
        +
      • The search index is not available
      @vladmandic/human - v2.9.4

    Function validateModel

    @@ -46,7 +46,7 @@

    Modules

      -
    • @vladmandic/human - v2.9.3 +
    • @vladmandic/human - v2.9.4
      • Tensor
      • draw
        • diff --git a/typedoc/index.html b/typedoc/index.html index f2f1c884..7667c8ca 100644 --- a/typedoc/index.html +++ b/typedoc/index.html @@ -1,15 +1,15 @@ -@vladmandic/human - v2.9.3
        +@vladmandic/human - v2.9.4
        +
      • The search index is not available
      @vladmandic/human - v2.9.4
    -

    @vladmandic/human - v2.9.3

    +

    @vladmandic/human - v2.9.4

    @@ -141,7 +141,7 @@

    Modules
      -
    • @vladmandic/human - v2.9.3 +
    • @vladmandic/human - v2.9.4
      • Tensor
      • draw
        • diff --git a/typedoc/interfaces/BodyConfig.html b/typedoc/interfaces/BodyConfig.html index 554cf634..da179ede 100644 --- a/typedoc/interfaces/BodyConfig.html +++ b/typedoc/interfaces/BodyConfig.html @@ -1,16 +1,16 @@ -BodyConfig | @vladmandic/human - v2.9.3
        +BodyConfig | @vladmandic/human - v2.9.4
        +
      • The search index is not available
      @vladmandic/human - v2.9.4

    Interface BodyConfig

    @@ -104,7 +104,7 @@ for two-phase models such as face and hand caching applies to bounding boxes det

    Modules

      -
    • @vladmandic/human - v2.9.3 +
    • @vladmandic/human - v2.9.4
      • Tensor
      • draw
        • diff --git a/typedoc/interfaces/BodyKeypoint.html b/typedoc/interfaces/BodyKeypoint.html index 6fd2b52e..207720c0 100644 --- a/typedoc/interfaces/BodyKeypoint.html +++ b/typedoc/interfaces/BodyKeypoint.html @@ -1,16 +1,16 @@ -BodyKeypoint | @vladmandic/human - v2.9.3
        +BodyKeypoint | @vladmandic/human - v2.9.4
        +
      • The search index is not available
      @vladmandic/human - v2.9.4

    Interface BodyKeypoint

    @@ -88,7 +88,7 @@

    Modules

      -
    • @vladmandic/human - v2.9.3 +
    • @vladmandic/human - v2.9.4
      • Tensor
      • draw
        • diff --git a/typedoc/interfaces/BodyResult.html b/typedoc/interfaces/BodyResult.html index 4c6ef1f1..b60c05d6 100644 --- a/typedoc/interfaces/BodyResult.html +++ b/typedoc/interfaces/BodyResult.html @@ -1,16 +1,16 @@ -BodyResult | @vladmandic/human - v2.9.3
        +BodyResult | @vladmandic/human - v2.9.4
        +
      • The search index is not available
      @vladmandic/human - v2.9.4

    Interface BodyResult

    @@ -96,7 +96,7 @@

    Modules

      -
    • @vladmandic/human - v2.9.3 +
    • @vladmandic/human - v2.9.4
      • Tensor
      • draw
        • diff --git a/typedoc/interfaces/Config.html b/typedoc/interfaces/Config.html index 0b700c13..4ae47db1 100644 --- a/typedoc/interfaces/Config.html +++ b/typedoc/interfaces/Config.html @@ -1,16 +1,16 @@ -Config | @vladmandic/human - v2.9.3
        +Config | @vladmandic/human - v2.9.4
        +
      • The search index is not available
      @vladmandic/human - v2.9.4

    Interface Config

    @@ -229,7 +229,7 @@ any errors will be printed on console but will be treated as non-fatal

    Modules

      -
    • @vladmandic/human - v2.9.3 +
    • @vladmandic/human - v2.9.4
      • Tensor
      • draw
        • diff --git a/typedoc/interfaces/FaceAntiSpoofConfig.html b/typedoc/interfaces/FaceAntiSpoofConfig.html index 73c40756..1c864e26 100644 --- a/typedoc/interfaces/FaceAntiSpoofConfig.html +++ b/typedoc/interfaces/FaceAntiSpoofConfig.html @@ -1,16 +1,16 @@ -FaceAntiSpoofConfig | @vladmandic/human - v2.9.3
        +FaceAntiSpoofConfig | @vladmandic/human - v2.9.4
        +
      • The search index is not available
      @vladmandic/human - v2.9.4

    Interface FaceAntiSpoofConfig

    @@ -88,7 +88,7 @@ for two-phase models such as face and hand caching applies to bounding boxes det

    Modules

      -
    • @vladmandic/human - v2.9.3 +
    • @vladmandic/human - v2.9.4
      • Tensor
      • draw
        • diff --git a/typedoc/interfaces/FaceAttentionConfig.html b/typedoc/interfaces/FaceAttentionConfig.html index 6b9124da..8bdc6c81 100644 --- a/typedoc/interfaces/FaceAttentionConfig.html +++ b/typedoc/interfaces/FaceAttentionConfig.html @@ -1,16 +1,16 @@ -FaceAttentionConfig | @vladmandic/human - v2.9.3
        +FaceAttentionConfig | @vladmandic/human - v2.9.4
        +
      • The search index is not available
      @vladmandic/human - v2.9.4

    Interface FaceAttentionConfig

    @@ -88,7 +88,7 @@ for two-phase models such as face and hand caching applies to bounding boxes det

    Modules

      -
    • @vladmandic/human - v2.9.3 +
    • @vladmandic/human - v2.9.4
      • Tensor
      • draw
        • diff --git a/typedoc/interfaces/FaceConfig.html b/typedoc/interfaces/FaceConfig.html index 06d10da9..a606e097 100644 --- a/typedoc/interfaces/FaceConfig.html +++ b/typedoc/interfaces/FaceConfig.html @@ -1,16 +1,16 @@ -FaceConfig | @vladmandic/human - v2.9.3
        +FaceConfig | @vladmandic/human - v2.9.4
        +
      • The search index is not available
      @vladmandic/human - v2.9.4

    Interface FaceConfig

    @@ -142,7 +142,7 @@ for two-phase models such as face and hand caching applies to bounding boxes det

    Modules

      -
    • @vladmandic/human - v2.9.3 +
    • @vladmandic/human - v2.9.4
      • Tensor
      • draw
        • diff --git a/typedoc/interfaces/FaceDescriptionConfig.html b/typedoc/interfaces/FaceDescriptionConfig.html index 9f164d49..879560dd 100644 --- a/typedoc/interfaces/FaceDescriptionConfig.html +++ b/typedoc/interfaces/FaceDescriptionConfig.html @@ -1,16 +1,16 @@ -FaceDescriptionConfig | @vladmandic/human - v2.9.3
        +FaceDescriptionConfig | @vladmandic/human - v2.9.4
        +
      • The search index is not available
      @vladmandic/human - v2.9.4

    Interface FaceDescriptionConfig

    @@ -99,7 +99,7 @@ for two-phase models such as face and hand caching applies to bounding boxes det

    Modules

      -
    • @vladmandic/human - v2.9.3 +
    • @vladmandic/human - v2.9.4
      • Tensor
      • draw
        • diff --git a/typedoc/interfaces/FaceDetectorConfig.html b/typedoc/interfaces/FaceDetectorConfig.html index c96d15b3..cd49fa88 100644 --- a/typedoc/interfaces/FaceDetectorConfig.html +++ b/typedoc/interfaces/FaceDetectorConfig.html @@ -1,16 +1,16 @@ -FaceDetectorConfig | @vladmandic/human - v2.9.3
        +FaceDetectorConfig | @vladmandic/human - v2.9.4
        +
      • The search index is not available
      @vladmandic/human - v2.9.4

    Interface FaceDetectorConfig

    @@ -138,7 +138,7 @@ for two-phase models such as face and hand caching applies to bounding boxes det

    Modules

      -
    • @vladmandic/human - v2.9.3 +
    • @vladmandic/human - v2.9.4
      • Tensor
      • draw
        • diff --git a/typedoc/interfaces/FaceEmotionConfig.html b/typedoc/interfaces/FaceEmotionConfig.html index 00cdc5ec..b89c8ca5 100644 --- a/typedoc/interfaces/FaceEmotionConfig.html +++ b/typedoc/interfaces/FaceEmotionConfig.html @@ -1,16 +1,16 @@ -FaceEmotionConfig | @vladmandic/human - v2.9.3
        +FaceEmotionConfig | @vladmandic/human - v2.9.4
        +
      • The search index is not available
      @vladmandic/human - v2.9.4

    Interface FaceEmotionConfig

    @@ -96,7 +96,7 @@ for two-phase models such as face and hand caching applies to bounding boxes det

    Modules

      -
    • @vladmandic/human - v2.9.3 +
    • @vladmandic/human - v2.9.4
      • Tensor
      • draw
        • diff --git a/typedoc/interfaces/FaceGearConfig.html b/typedoc/interfaces/FaceGearConfig.html index f7bfc8fd..791e80b2 100644 --- a/typedoc/interfaces/FaceGearConfig.html +++ b/typedoc/interfaces/FaceGearConfig.html @@ -1,16 +1,16 @@ -FaceGearConfig | @vladmandic/human - v2.9.3
        +FaceGearConfig | @vladmandic/human - v2.9.4
        +
      • The search index is not available
      @vladmandic/human - v2.9.4

    Interface FaceGearConfig

    @@ -96,7 +96,7 @@ for two-phase models such as face and hand caching applies to bounding boxes det

    Modules

      -
    • @vladmandic/human - v2.9.3 +
    • @vladmandic/human - v2.9.4
      • Tensor
      • draw
        • diff --git a/typedoc/interfaces/FaceIrisConfig.html b/typedoc/interfaces/FaceIrisConfig.html index 2100937b..d108e1d3 100644 --- a/typedoc/interfaces/FaceIrisConfig.html +++ b/typedoc/interfaces/FaceIrisConfig.html @@ -1,16 +1,16 @@ -FaceIrisConfig | @vladmandic/human - v2.9.3
        +FaceIrisConfig | @vladmandic/human - v2.9.4
        +
      • The search index is not available
      @vladmandic/human - v2.9.4

    Interface FaceIrisConfig

    @@ -88,7 +88,7 @@ for two-phase models such as face and hand caching applies to bounding boxes det

    Modules

      -
    • @vladmandic/human - v2.9.3 +
    • @vladmandic/human - v2.9.4
      • Tensor
      • draw
        • diff --git a/typedoc/interfaces/FaceLivenessConfig.html b/typedoc/interfaces/FaceLivenessConfig.html index 9e6c68f9..ecbb76e5 100644 --- a/typedoc/interfaces/FaceLivenessConfig.html +++ b/typedoc/interfaces/FaceLivenessConfig.html @@ -1,16 +1,16 @@ -FaceLivenessConfig | @vladmandic/human - v2.9.3
        +FaceLivenessConfig | @vladmandic/human - v2.9.4
        +
      • The search index is not available
      @vladmandic/human - v2.9.4

    Interface FaceLivenessConfig

    @@ -88,7 +88,7 @@ for two-phase models such as face and hand caching applies to bounding boxes det

    Modules

      -
    • @vladmandic/human - v2.9.3 +
    • @vladmandic/human - v2.9.4
      • Tensor
      • draw
        • diff --git a/typedoc/interfaces/FaceMeshConfig.html b/typedoc/interfaces/FaceMeshConfig.html index baa589b5..662e66cd 100644 --- a/typedoc/interfaces/FaceMeshConfig.html +++ b/typedoc/interfaces/FaceMeshConfig.html @@ -1,16 +1,16 @@ -FaceMeshConfig | @vladmandic/human - v2.9.3
        +FaceMeshConfig | @vladmandic/human - v2.9.4
        +
      • The search index is not available
      @vladmandic/human - v2.9.4

    Interface FaceMeshConfig

    @@ -96,7 +96,7 @@ for two-phase models such as face and hand caching applies to bounding boxes det

    Modules

      -
    • @vladmandic/human - v2.9.3 +
    • @vladmandic/human - v2.9.4
      • Tensor
      • draw
        • diff --git a/typedoc/interfaces/FaceResult.html b/typedoc/interfaces/FaceResult.html index 3ec9aa7f..4fcdba99 100644 --- a/typedoc/interfaces/FaceResult.html +++ b/typedoc/interfaces/FaceResult.html @@ -1,16 +1,16 @@ -FaceResult | @vladmandic/human - v2.9.3
        +FaceResult | @vladmandic/human - v2.9.4
        +
      • The search index is not available
      @vladmandic/human - v2.9.4

    Interface FaceResult

    @@ -212,7 +212,7 @@

    Modules

      -
    • @vladmandic/human - v2.9.3 +
    • @vladmandic/human - v2.9.4
      • Tensor
      • draw
        • diff --git a/typedoc/interfaces/FilterConfig.html b/typedoc/interfaces/FilterConfig.html index aeaa8506..1753cc8c 100644 --- a/typedoc/interfaces/FilterConfig.html +++ b/typedoc/interfaces/FilterConfig.html @@ -1,16 +1,16 @@ -FilterConfig | @vladmandic/human - v2.9.3
        +FilterConfig | @vladmandic/human - v2.9.4
        +
      • The search index is not available
      @vladmandic/human - v2.9.4

    Interface FilterConfig

    @@ -217,7 +217,7 @@

    Modules

      -
    • @vladmandic/human - v2.9.3 +
    • @vladmandic/human - v2.9.4
      • Tensor
      • draw
        • diff --git a/typedoc/interfaces/GenericConfig.html b/typedoc/interfaces/GenericConfig.html index ac52d2c7..180778d0 100644 --- a/typedoc/interfaces/GenericConfig.html +++ b/typedoc/interfaces/GenericConfig.html @@ -1,16 +1,16 @@ -GenericConfig | @vladmandic/human - v2.9.3
        +GenericConfig | @vladmandic/human - v2.9.4
        +
      • The search index is not available
      @vladmandic/human - v2.9.4

    Interface GenericConfig

    @@ -97,7 +97,7 @@ for two-phase models such as face and hand caching applies to bounding boxes det

    Modules

      -
    • @vladmandic/human - v2.9.3 +
    • @vladmandic/human - v2.9.4
      • Tensor
      • draw
        • diff --git a/typedoc/interfaces/GestureConfig.html b/typedoc/interfaces/GestureConfig.html index 42d82594..f427b677 100644 --- a/typedoc/interfaces/GestureConfig.html +++ b/typedoc/interfaces/GestureConfig.html @@ -1,16 +1,16 @@ -GestureConfig | @vladmandic/human - v2.9.3
        +GestureConfig | @vladmandic/human - v2.9.4
        +
      • The search index is not available
      @vladmandic/human - v2.9.4

    Interface GestureConfig

    @@ -56,7 +56,7 @@

    Modules

      -
    • @vladmandic/human - v2.9.3 +
    • @vladmandic/human - v2.9.4
      • Tensor
      • draw
        • diff --git a/typedoc/interfaces/HandConfig.html b/typedoc/interfaces/HandConfig.html index f62e0724..dcf8bc52 100644 --- a/typedoc/interfaces/HandConfig.html +++ b/typedoc/interfaces/HandConfig.html @@ -1,16 +1,16 @@ -HandConfig | @vladmandic/human - v2.9.3
        +HandConfig | @vladmandic/human - v2.9.4
        +
      • The search index is not available
      @vladmandic/human - v2.9.4

    Interface HandConfig

    @@ -154,7 +154,7 @@ for two-phase models such as face and hand caching applies to bounding boxes det

    Modules

      -
    • @vladmandic/human - v2.9.3 +
    • @vladmandic/human - v2.9.4
      • Tensor
      • draw
        • diff --git a/typedoc/interfaces/HandResult.html b/typedoc/interfaces/HandResult.html index 3f5458ab..c2ab572c 100644 --- a/typedoc/interfaces/HandResult.html +++ b/typedoc/interfaces/HandResult.html @@ -1,16 +1,16 @@ -HandResult | @vladmandic/human - v2.9.3
        +HandResult | @vladmandic/human - v2.9.4
        +
      • The search index is not available
      @vladmandic/human - v2.9.4

    Interface HandResult

    @@ -128,7 +128,7 @@

    Modules

      -
    • @vladmandic/human - v2.9.3 +
    • @vladmandic/human - v2.9.4
      • Tensor
      • draw
        • diff --git a/typedoc/interfaces/ObjectConfig.html b/typedoc/interfaces/ObjectConfig.html index 6750d602..fb9a17be 100644 --- a/typedoc/interfaces/ObjectConfig.html +++ b/typedoc/interfaces/ObjectConfig.html @@ -1,16 +1,16 @@ -ObjectConfig | @vladmandic/human - v2.9.3
        +ObjectConfig | @vladmandic/human - v2.9.4
        +
      • The search index is not available
      @vladmandic/human - v2.9.4

    Interface ObjectConfig

    @@ -112,7 +112,7 @@ for two-phase models such as face and hand caching applies to bounding boxes det

    Modules

      -
    • @vladmandic/human - v2.9.3 +
    • @vladmandic/human - v2.9.4
      • Tensor
      • draw
        • diff --git a/typedoc/interfaces/ObjectResult.html b/typedoc/interfaces/ObjectResult.html index 2fe6bb49..4eee035c 100644 --- a/typedoc/interfaces/ObjectResult.html +++ b/typedoc/interfaces/ObjectResult.html @@ -1,16 +1,16 @@ -ObjectResult | @vladmandic/human - v2.9.3
        +ObjectResult | @vladmandic/human - v2.9.4
        +
      • The search index is not available
      @vladmandic/human - v2.9.4

    Interface ObjectResult

    @@ -96,7 +96,7 @@

    Modules

      -
    • @vladmandic/human - v2.9.3 +
    • @vladmandic/human - v2.9.4
      • Tensor
      • draw
        • diff --git a/typedoc/interfaces/PersonResult.html b/typedoc/interfaces/PersonResult.html index 9d80cdfc..f2bdd98b 100644 --- a/typedoc/interfaces/PersonResult.html +++ b/typedoc/interfaces/PersonResult.html @@ -1,16 +1,16 @@ -PersonResult | @vladmandic/human - v2.9.3
        +PersonResult | @vladmandic/human - v2.9.4
        +
      • The search index is not available
      @vladmandic/human - v2.9.4

    Interface PersonResult

    @@ -114,7 +114,7 @@

    Modules

      -
    • @vladmandic/human - v2.9.3 +
    • @vladmandic/human - v2.9.4
      • Tensor
      • draw
        • diff --git a/typedoc/interfaces/Result.html b/typedoc/interfaces/Result.html index 6cea470b..82fa3aa8 100644 --- a/typedoc/interfaces/Result.html +++ b/typedoc/interfaces/Result.html @@ -1,16 +1,16 @@ -Result | @vladmandic/human - v2.9.3
        +Result | @vladmandic/human - v2.9.4
        +
      • The search index is not available
      @vladmandic/human - v2.9.4

    Interface Result

    @@ -129,7 +129,7 @@

    Modules

      -
    • @vladmandic/human - v2.9.3 +
    • @vladmandic/human - v2.9.4
      • Tensor
      • draw
        • diff --git a/typedoc/interfaces/SegmentationConfig.html b/typedoc/interfaces/SegmentationConfig.html index f6057a4b..a35e06ed 100644 --- a/typedoc/interfaces/SegmentationConfig.html +++ b/typedoc/interfaces/SegmentationConfig.html @@ -1,16 +1,16 @@ -SegmentationConfig | @vladmandic/human - v2.9.3
        +SegmentationConfig | @vladmandic/human - v2.9.4
        +
      • The search index is not available
      @vladmandic/human - v2.9.4

    Interface SegmentationConfig

    @@ -100,7 +100,7 @@ for two-phase models such as face and hand caching applies to bounding boxes det

    Modules

      -
    • @vladmandic/human - v2.9.3 +
    • @vladmandic/human - v2.9.4
      • Tensor
      • draw
        • diff --git a/typedoc/modules/Tensor.html b/typedoc/modules/Tensor.html index 51e0f940..7f621aa3 100644 --- a/typedoc/modules/Tensor.html +++ b/typedoc/modules/Tensor.html @@ -1,16 +1,16 @@ -Tensor | @vladmandic/human - v2.9.3
        +Tensor | @vladmandic/human - v2.9.4
        +
      • The search index is not available
      @vladmandic/human - v2.9.4

    Namespace Tensor

    Namespace draw

    @@ -69,7 +69,7 @@

    Modules

      -
    • @vladmandic/human - v2.9.3 +
    • @vladmandic/human - v2.9.4
      • Tensor
      • draw
        • diff --git a/typedoc/modules/match.html b/typedoc/modules/match.html index 8e5a1557..5e914b91 100644 --- a/typedoc/modules/match.html +++ b/typedoc/modules/match.html @@ -1,16 +1,16 @@ -match | @vladmandic/human - v2.9.3
        +match | @vladmandic/human - v2.9.4
        +
      • The search index is not available
      @vladmandic/human - v2.9.4

    Namespace match

    @@ -48,7 +48,7 @@

    Modules

      -
    • @vladmandic/human - v2.9.3 +
    • @vladmandic/human - v2.9.4
      • Tensor
      • draw
        • diff --git a/typedoc/modules/models-1.html b/typedoc/modules/models-1.html index c65934ca..dcec3b51 100644 --- a/typedoc/modules/models-1.html +++ b/typedoc/modules/models-1.html @@ -1,16 +1,16 @@ -models | @vladmandic/human - v2.9.3
        +models | @vladmandic/human - v2.9.4
        +
      • The search index is not available
      @vladmandic/human - v2.9.4

    Namespace models

    @@ -54,7 +54,7 @@

    Modules

      -
    • @vladmandic/human - v2.9.3 +
    • @vladmandic/human - v2.9.4
      • Tensor
      • draw
        • diff --git a/typedoc/types/AnyCanvas.html b/typedoc/types/AnyCanvas.html index f09dec8f..4c652324 100644 --- a/typedoc/types/AnyCanvas.html +++ b/typedoc/types/AnyCanvas.html @@ -1,16 +1,16 @@ -AnyCanvas | @vladmandic/human - v2.9.3
        +AnyCanvas | @vladmandic/human - v2.9.4
        +
      • The search index is not available
      @vladmandic/human - v2.9.4

    Type alias AnyCanvas

    AnyCanvas: HTMLCanvasElement | OffscreenCanvas
    @@ -34,7 +34,7 @@

    Modules

      -
    • @vladmandic/human - v2.9.3 +
    • @vladmandic/human - v2.9.4
      • Tensor
      • draw
        • diff --git a/typedoc/types/AnyImage.html b/typedoc/types/AnyImage.html index c78da6d8..c237cec0 100644 --- a/typedoc/types/AnyImage.html +++ b/typedoc/types/AnyImage.html @@ -1,16 +1,16 @@ -AnyImage | @vladmandic/human - v2.9.3
        +AnyImage | @vladmandic/human - v2.9.4
        +
      • The search index is not available
      @vladmandic/human - v2.9.4

    Type alias AnyImage

    AnyImage: HTMLImageElement | typeof Image
    @@ -34,7 +34,7 @@

    Modules

      -
    • @vladmandic/human - v2.9.3 +
    • @vladmandic/human - v2.9.4
      • Tensor
      • draw
        • diff --git a/typedoc/types/AnyVideo.html b/typedoc/types/AnyVideo.html index 4cc74ec1..b1341ea4 100644 --- a/typedoc/types/AnyVideo.html +++ b/typedoc/types/AnyVideo.html @@ -1,16 +1,16 @@ -AnyVideo | @vladmandic/human - v2.9.3
        +AnyVideo | @vladmandic/human - v2.9.4
        +
      • The search index is not available
      @vladmandic/human - v2.9.4

    Type alias AnyVideo

    AnyVideo: HTMLMediaElement | HTMLVideoElement
    @@ -34,7 +34,7 @@

    Modules

      -
    • @vladmandic/human - v2.9.3 +
    • @vladmandic/human - v2.9.4
      • Tensor
      • draw
        • diff --git a/typedoc/types/BackendType.html b/typedoc/types/BackendType.html index 470b9358..f631b000 100644 --- a/typedoc/types/BackendType.html +++ b/typedoc/types/BackendType.html @@ -1,16 +1,16 @@ -BackendType | @vladmandic/human - v2.9.3
        +BackendType | @vladmandic/human - v2.9.4
        +
      • The search index is not available
      @vladmandic/human - v2.9.4

    Type alias BackendType

    BackendType: ["cpu", "wasm", "webgl", "humangl", "tensorflow", "webgpu"]
    @@ -34,7 +34,7 @@

    Modules

      -
    • @vladmandic/human - v2.9.3 +
    • @vladmandic/human - v2.9.4
      • Tensor
      • draw
        • diff --git a/typedoc/types/BodyAnnotation.html b/typedoc/types/BodyAnnotation.html index c456d761..2c1c7a23 100644 --- a/typedoc/types/BodyAnnotation.html +++ b/typedoc/types/BodyAnnotation.html @@ -1,16 +1,16 @@ -BodyAnnotation | @vladmandic/human - v2.9.3
        +BodyAnnotation | @vladmandic/human - v2.9.4
        +
      • The search index is not available
      @vladmandic/human - v2.9.4

    Type alias BodyAnnotation

    BodyAnnotation: BodyAnnotationBlazePose | BodyAnnotationEfficientPose

    Type alias BodyAnnotationBlazePose

    BodyAnnotationBlazePose: "leftLeg" | "rightLeg" | "torso" | "leftArm" | "rightArm" | "leftEye" | "rightEye" | "mouth"

    Type alias BodyAnnotationEfficientPose

    BodyAnnotationEfficientPose: "leftLeg" | "rightLeg" | "torso" | "leftArm" | "rightArm" | "head"

    Type alias BodyGesture

    BodyGesture: `leaning ${"left" | "right"}` | `raise ${"left" | "right"} hand` | "i give up"
    @@ -34,7 +34,7 @@

    Modules

      -
    • @vladmandic/human - v2.9.3 +
    • @vladmandic/human - v2.9.4
      • Tensor
      • draw
        • diff --git a/typedoc/types/BodyLandmark.html b/typedoc/types/BodyLandmark.html index 754e8581..056c62ae 100644 --- a/typedoc/types/BodyLandmark.html +++ b/typedoc/types/BodyLandmark.html @@ -1,16 +1,16 @@ -BodyLandmark | @vladmandic/human - v2.9.3
        +BodyLandmark | @vladmandic/human - v2.9.4
        +
      • The search index is not available
      @vladmandic/human - v2.9.4

    Type alias BodyLandmark

    BodyLandmark: BodyLandmarkPoseNet | BodyLandmarkMoveNet | BodyLandmarkEfficientNet | BodyLandmarkBlazePose

    Type alias BodyLandmarkBlazePose

    BodyLandmarkBlazePose: "nose" | "leftEyeInside" | "leftEye" | "leftEyeOutside" | "rightEyeInside" | "rightEye" | "rightEyeOutside" | "leftEar" | "rightEar" | "leftMouth" | "rightMouth" | "leftShoulder" | "rightShoulder" | "leftElbow" | "rightElbow" | "leftWrist" | "rightWrist" | "leftPinky" | "rightPinky" | "leftIndex" | "rightIndex" | "leftThumb" | "rightThumb" | "leftHip" | "rightHip" | "leftKnee" | "rightKnee" | "leftAnkle" | "rightAnkle" | "leftHeel" | "rightHeel" | "leftFoot" | "rightFoot" | "bodyCenter" | "bodyTop" | "leftPalm" | "leftHand" | "rightPalm" | "rightHand"

    Type alias BodyLandmarkEfficientNet

    BodyLandmarkEfficientNet: "head" | "neck" | "rightShoulder" | "rightElbow" | "rightWrist" | "chest" | "leftShoulder" | "leftElbow" | "leftWrist" | "bodyCenter" | "rightHip" | "rightKnee" | "rightAnkle" | "leftHip" | "leftKnee" | "leftAnkle"

    Type alias BodyLandmarkMoveNet

    BodyLandmarkMoveNet: "nose" | "leftEye" | "rightEye" | "leftEar" | "rightEar" | "leftShoulder" | "rightShoulder" | "leftElbow" | "rightElbow" | "leftWrist" | "rightWrist" | "leftHip" | "rightHip" | "leftKnee" | "rightKnee" | "leftAnkle" | "rightAnkle"

    Type alias BodyLandmarkPoseNet

    BodyLandmarkPoseNet: "nose" | "leftEye" | "rightEye" | "leftEar" | "rightEar" | "leftShoulder" | "rightShoulder" | "leftElbow" | "rightElbow" | "leftWrist" | "rightWrist" | "leftHip" | "rightHip" | "leftKnee" | "rightKnee" | "leftAnkle" | "rightAnkle"

    Type alias Box

    Box: [number, number, number, number]
    @@ -34,7 +34,7 @@

    Modules

      -
    • @vladmandic/human - v2.9.3 +
    • @vladmandic/human - v2.9.4
      • Tensor
      • draw
        • diff --git a/typedoc/types/DrawOptions.html b/typedoc/types/DrawOptions.html index 4cb55bec..4b450705 100644 --- a/typedoc/types/DrawOptions.html +++ b/typedoc/types/DrawOptions.html @@ -1,16 +1,16 @@ -DrawOptions | @vladmandic/human - v2.9.3
        +DrawOptions | @vladmandic/human - v2.9.4
        +
      • The search index is not available
      @vladmandic/human - v2.9.4

    Type alias DrawOptions

    DrawOptions: { alpha: number; color: string; drawAttention: boolean; drawBoxes: boolean; drawGaze: boolean; drawGestures: boolean; drawLabels: boolean; drawPoints: boolean; drawPolygons: boolean; fillPolygons: boolean; font: string; labelColor: string; lineHeight: number; lineWidth: number; pointSize: number; roundRect: number; shadowColor: string; useCurves: boolean; useDepth: boolean }
    @@ -116,7 +116,7 @@

    Modules

      -
    • @vladmandic/human - v2.9.3 +
    • @vladmandic/human - v2.9.4
      • Tensor
      • draw
        • diff --git a/typedoc/types/Emotion.html b/typedoc/types/Emotion.html index 8145b86e..7ea08b0a 100644 --- a/typedoc/types/Emotion.html +++ b/typedoc/types/Emotion.html @@ -1,16 +1,16 @@ -Emotion | @vladmandic/human - v2.9.3
        +Emotion | @vladmandic/human - v2.9.4
        +
      • The search index is not available
      @vladmandic/human - v2.9.4

    Type alias Emotion

    Emotion: "angry" | "disgust" | "fear" | "happy" | "sad" | "surprise" | "neutral"

    Type alias Events

    Events: "create" | "load" | "image" | "result" | "warmup" | "error"
    @@ -41,7 +41,7 @@

    Modules

      -
    • @vladmandic/human - v2.9.3 +
    • @vladmandic/human - v2.9.4
      • Tensor
      • draw
        • diff --git a/typedoc/types/ExternalCanvas.html b/typedoc/types/ExternalCanvas.html index 5743abf0..11196f1a 100644 --- a/typedoc/types/ExternalCanvas.html +++ b/typedoc/types/ExternalCanvas.html @@ -1,16 +1,16 @@ -ExternalCanvas | @vladmandic/human - v2.9.3
        +ExternalCanvas | @vladmandic/human - v2.9.4
        +
      • The search index is not available
      @vladmandic/human - v2.9.4

    Type alias ExternalCanvas

    ExternalCanvas: typeof Canvas
    @@ -34,7 +34,7 @@

    Modules

      -
    • @vladmandic/human - v2.9.3 +
    • @vladmandic/human - v2.9.4
      • Tensor
      • draw
        • diff --git a/typedoc/types/FaceGesture.html b/typedoc/types/FaceGesture.html index 8f596406..de924df6 100644 --- a/typedoc/types/FaceGesture.html +++ b/typedoc/types/FaceGesture.html @@ -1,16 +1,16 @@ -FaceGesture | @vladmandic/human - v2.9.3
        +FaceGesture | @vladmandic/human - v2.9.4
        +
      • The search index is not available
      @vladmandic/human - v2.9.4

    Type alias FaceGesture

    FaceGesture: `facing ${"left" | "center" | "right"}` | `blink ${"left" | "right"} eye` | `mouth ${number}% open` | `head ${"up" | "down"}`
    @@ -34,7 +34,7 @@

    Modules

      -
    • @vladmandic/human - v2.9.3 +
    • @vladmandic/human - v2.9.4
      • Tensor
      • draw
        • diff --git a/typedoc/types/FaceLandmark.html b/typedoc/types/FaceLandmark.html index 64de71ac..310984b0 100644 --- a/typedoc/types/FaceLandmark.html +++ b/typedoc/types/FaceLandmark.html @@ -1,16 +1,16 @@ -FaceLandmark | @vladmandic/human - v2.9.3
        +FaceLandmark | @vladmandic/human - v2.9.4
        +
      • The search index is not available
      @vladmandic/human - v2.9.4

    Type alias FaceLandmark

    FaceLandmark: "leftEye" | "rightEye" | "nose" | "mouth" | "leftEar" | "rightEar" | "symmetryLine" | "silhouette" | "lipsUpperOuter" | "lipsLowerOuter" | "lipsUpperInner" | "lipsLowerInner" | "rightEyeUpper0" | "rightEyeLower0" | "rightEyeUpper1" | "rightEyeLower1" | "rightEyeUpper2" | "rightEyeLower2" | "rightEyeLower3" | "rightEyebrowUpper" | "rightEyebrowLower" | "rightEyeIris" | "leftEyeUpper0" | "leftEyeLower0" | "leftEyeUpper1" | "leftEyeLower1" | "leftEyeUpper2" | "leftEyeLower2" | "leftEyeLower3" | "leftEyebrowUpper" | "leftEyebrowLower" | "leftEyeIris" | "midwayBetweenEyes" | "noseTip" | "noseBottom" | "noseRightCorner" | "noseLeftCorner" | "rightCheek" | "leftCheek"

    Type alias Finger

    Finger: "index" | "middle" | "pinky" | "ring" | "thumb" | "palm"

    Type alias FingerCurl

    FingerCurl: "none" | "half" | "full"

    Type alias FingerDirection

    FingerDirection: "verticalUp" | "verticalDown" | "horizontalLeft" | "horizontalRight" | "diagonalUpRight" | "diagonalUpLeft" | "diagonalDownRight" | "diagonalDownLeft"

    Type alias Gender

    Gender: "male" | "female" | "unknown"

    Type alias GestureResult

    GestureResult: { face: number; gesture: FaceGesture } | { gesture: IrisGesture; iris: number } | { body: number; gesture: BodyGesture } | { gesture: HandGesture; hand: number }
    @@ -39,7 +39,7 @@ Each result has:

    Modules

      -
    • @vladmandic/human - v2.9.3 +
    • @vladmandic/human - v2.9.4
      • Tensor
      • draw
        • diff --git a/typedoc/types/HandGesture.html b/typedoc/types/HandGesture.html index 5a789ed3..d0c5cb3d 100644 --- a/typedoc/types/HandGesture.html +++ b/typedoc/types/HandGesture.html @@ -1,16 +1,16 @@ -HandGesture | @vladmandic/human - v2.9.3
        +HandGesture | @vladmandic/human - v2.9.4
        +
      • The search index is not available
      @vladmandic/human - v2.9.4

    Type alias HandGesture

    HandGesture: `${"thumb" | "index" | "middle" | "ring" | "pinky"} forward` | `${"thumb" | "index" | "middle" | "ring" | "pinky"} up` | "victory" | "thumbs up"
    @@ -34,7 +34,7 @@

    Modules

      -
    • @vladmandic/human - v2.9.3 +
    • @vladmandic/human - v2.9.4
      • Tensor
      • draw
        • diff --git a/typedoc/types/HandType.html b/typedoc/types/HandType.html index 0ce3b54d..ad47aaad 100644 --- a/typedoc/types/HandType.html +++ b/typedoc/types/HandType.html @@ -1,16 +1,16 @@ -HandType | @vladmandic/human - v2.9.3
        +HandType | @vladmandic/human - v2.9.4
        +
      • The search index is not available
      @vladmandic/human - v2.9.4

    Type alias HandType

    HandType: "hand" | "fist" | "pinch" | "point" | "face" | "tip" | "pinchtip"

    Type alias ImageObjects

    ImageObjects: ImageData | ImageBitmap
    @@ -34,7 +34,7 @@

    Modules

      -
    • @vladmandic/human - v2.9.3 +
    • @vladmandic/human - v2.9.4
      • Tensor
      • draw
        • diff --git a/typedoc/types/Input.html b/typedoc/types/Input.html index cc420f04..5b908ec3 100644 --- a/typedoc/types/Input.html +++ b/typedoc/types/Input.html @@ -1,16 +1,16 @@ -Input | @vladmandic/human - v2.9.3
        +Input | @vladmandic/human - v2.9.4
        +
      • The search index is not available
      @vladmandic/human - v2.9.4

    Type alias Input

    Input: Tensor | AnyCanvas | AnyImage | AnyVideo | ImageObjects | ExternalCanvas
    @@ -34,7 +34,7 @@

    Modules

      -
    • @vladmandic/human - v2.9.3 +
    • @vladmandic/human - v2.9.4
      • Tensor
      • draw
        • diff --git a/typedoc/types/IrisGesture.html b/typedoc/types/IrisGesture.html index 8d722b3e..139139aa 100644 --- a/typedoc/types/IrisGesture.html +++ b/typedoc/types/IrisGesture.html @@ -1,16 +1,16 @@ -IrisGesture | @vladmandic/human - v2.9.3
        +IrisGesture | @vladmandic/human - v2.9.4
        +
      • The search index is not available
      @vladmandic/human - v2.9.4

    Type alias IrisGesture

    IrisGesture: "facing center" | `looking ${"left" | "right" | "up" | "down"}` | "looking center"
    @@ -34,7 +34,7 @@

    Modules

      -
    • @vladmandic/human - v2.9.3 +
    • @vladmandic/human - v2.9.4
      • Tensor
      • draw
        • diff --git a/typedoc/types/ModelInfo.html b/typedoc/types/ModelInfo.html index 9b5ee579..7f184549 100644 --- a/typedoc/types/ModelInfo.html +++ b/typedoc/types/ModelInfo.html @@ -1,16 +1,16 @@ -ModelInfo | @vladmandic/human - v2.9.3
        +ModelInfo | @vladmandic/human - v2.9.4
        +
      • The search index is not available
      @vladmandic/human - v2.9.4

    Type alias ModelInfo

    ModelInfo: { inCache: boolean; name: string; sizeDesired: number; sizeFromManifest: number; sizeLoadedWeights: number }
    @@ -45,7 +45,7 @@

    Modules

      -
    • @vladmandic/human - v2.9.3 +
    • @vladmandic/human - v2.9.4
      • Tensor
      • draw
        • diff --git a/typedoc/types/ObjectType.html b/typedoc/types/ObjectType.html index 24ae28c3..f2156b0a 100644 --- a/typedoc/types/ObjectType.html +++ b/typedoc/types/ObjectType.html @@ -1,16 +1,16 @@ -ObjectType | @vladmandic/human - v2.9.3
        +ObjectType | @vladmandic/human - v2.9.4
        +
      • The search index is not available
      @vladmandic/human - v2.9.4

    Type alias ObjectType

    ObjectType: "person" | "bicycle" | "car" | "motorcycle" | "airplane" | "bus" | "train" | "truck" | "boat" | "traffic light" | "fire hydrant" | "stop sign" | "parking meter" | "bench" | "bird" | "cat" | "dog" | "horse" | "sheep" | "cow" | "elephant" | "bear" | "zebra" | "giraffe" | "backpack" | "umbrella" | "handbag" | "tie" | "suitcase" | "frisbee" | "skis" | "snowboard" | "sports ball" | "kite" | "baseball bat" | "baseball glove" | "skateboard" | "surfboard" | "tennis racket" | "bottle" | "wine glass" | "cup" | "fork" | "knife" | "spoon" | "bowl" | "banana" | "apple" | "sandwich" | "orange" | "broccoli" | "carrot" | "hot dog" | "pizza" | "donut" | "cake" | "chair" | "couch" | "potted plant" | "bed" | "dining table" | "toilet" | "tv" | "laptop" | "mouse" | "remote" | "keyboard" | "cell phone" | "microwave" | "oven" | "toaster" | "sink" | "refrigerator" | "book" | "clock" | "vase" | "scissors" | "teddy bear" | "hair drier" | "toothbrush"

    Type alias Point

    Point: [number, number, number?]
    @@ -34,7 +34,7 @@

    Modules

      -
    • @vladmandic/human - v2.9.3 +
    • @vladmandic/human - v2.9.4
      • Tensor
      • draw
        • diff --git a/typedoc/types/Race.html b/typedoc/types/Race.html index 8a941476..dab59983 100644 --- a/typedoc/types/Race.html +++ b/typedoc/types/Race.html @@ -1,16 +1,16 @@ -Race | @vladmandic/human - v2.9.3
        +Race | @vladmandic/human - v2.9.4
        +
      • The search index is not available
      @vladmandic/human - v2.9.4

    Type alias Race

    Race: "white" | "black" | "asian" | "indian" | "other"

    Type alias TensorLike

    TensorLike: TypedArray | number | boolean | string | RecursiveArray<number | number[] | TypedArray> | RecursiveArray<boolean> | RecursiveArray<string> | Uint8Array[]
    @@ -35,7 +35,7 @@

    Modules

      -
    • @vladmandic/human - v2.9.3 +
    • @vladmandic/human - v2.9.4
      • Tensor
      • draw
        • diff --git a/typedoc/types/WarmupType.html b/typedoc/types/WarmupType.html index c620a3a6..742e5b0e 100644 --- a/typedoc/types/WarmupType.html +++ b/typedoc/types/WarmupType.html @@ -1,16 +1,16 @@ -WarmupType | @vladmandic/human - v2.9.3
        +WarmupType | @vladmandic/human - v2.9.4
        +
      • The search index is not available
      @vladmandic/human - v2.9.4

    Type alias WarmupType

    WarmupType: ["" | "none" | "face" | "full" | "body"]
    @@ -34,7 +34,7 @@

    Modules

      -
    • @vladmandic/human - v2.9.3 +
    • @vladmandic/human - v2.9.4
      • Tensor
      • draw
        • diff --git a/typedoc/types/match.Descriptor.html b/typedoc/types/match.Descriptor.html index cc74ce29..28d6aba3 100644 --- a/typedoc/types/match.Descriptor.html +++ b/typedoc/types/match.Descriptor.html @@ -1,16 +1,16 @@ -Descriptor | @vladmandic/human - v2.9.3
        +Descriptor | @vladmandic/human - v2.9.4
        +
      • The search index is not available
      @vladmandic/human - v2.9.4

    Type alias Descriptor

    @@ -35,7 +35,7 @@

    Modules

      -
    • @vladmandic/human - v2.9.3 +
    • @vladmandic/human - v2.9.4
      • Tensor
      • draw
        • diff --git a/typedoc/types/match.MatchOptions.html b/typedoc/types/match.MatchOptions.html index 21a2c98c..19ab5aed 100644 --- a/typedoc/types/match.MatchOptions.html +++ b/typedoc/types/match.MatchOptions.html @@ -1,16 +1,16 @@ -MatchOptions | @vladmandic/human - v2.9.3
        +MatchOptions | @vladmandic/human - v2.9.4
        +
      • The search index is not available
      @vladmandic/human - v2.9.4

    Type alias MatchOptions

    @@ -33,7 +33,7 @@

    Modules

      -
    • @vladmandic/human - v2.9.3 +
    • @vladmandic/human - v2.9.4
      • Tensor
      • draw
        • diff --git a/typedoc/types/models-1.KernelOps.html b/typedoc/types/models-1.KernelOps.html index 40ec1634..6246bcb3 100644 --- a/typedoc/types/models-1.KernelOps.html +++ b/typedoc/types/models-1.KernelOps.html @@ -1,16 +1,16 @@ -KernelOps | @vladmandic/human - v2.9.3
        +KernelOps | @vladmandic/human - v2.9.4
        +
      • The search index is not available
      @vladmandic/human - v2.9.4

    Type alias KernelOps

    @@ -44,7 +44,7 @@

    Modules

      -
    • @vladmandic/human - v2.9.3 +
    • @vladmandic/human - v2.9.4
      • Tensor
      • draw
        • diff --git a/typedoc/types/models-1.ModelStats.html b/typedoc/types/models-1.ModelStats.html index 29cecae1..d8c9f82c 100644 --- a/typedoc/types/models-1.ModelStats.html +++ b/typedoc/types/models-1.ModelStats.html @@ -1,16 +1,16 @@ -ModelStats | @vladmandic/human - v2.9.3
        +ModelStats | @vladmandic/human - v2.9.4
        +
      • The search index is not available
      @vladmandic/human - v2.9.4

    Type alias ModelStats

    @@ -54,7 +54,7 @@

    Modules

      -
    • @vladmandic/human - v2.9.3 +
    • @vladmandic/human - v2.9.4
      • Tensor
      • draw
        • diff --git a/typedoc/variables/defaults.html b/typedoc/variables/defaults.html index 8a21264e..99127eb6 100644 --- a/typedoc/variables/defaults.html +++ b/typedoc/variables/defaults.html @@ -1,16 +1,16 @@ -defaults | @vladmandic/human - v2.9.3
        +defaults | @vladmandic/human - v2.9.4
        +
      • The search index is not available
      @vladmandic/human - v2.9.4

    Variable defaultsConst

    defaults: Config = ...
    @@ -36,7 +36,7 @@

    Modules

      -
    • @vladmandic/human - v2.9.3 +
    • @vladmandic/human - v2.9.4
      • Tensor
      • draw
        • diff --git a/typedoc/variables/draw.options.html b/typedoc/variables/draw.options.html index 36b9c1ba..ddcf28f1 100644 --- a/typedoc/variables/draw.options.html +++ b/typedoc/variables/draw.options.html @@ -1,16 +1,16 @@ -options | @vladmandic/human - v2.9.3
        +options | @vladmandic/human - v2.9.4
        +
      • The search index is not available
      @vladmandic/human - v2.9.4

    Variable optionsConst

    @@ -35,7 +35,7 @@

    Modules

      -
    • @vladmandic/human - v2.9.3 +
    • @vladmandic/human - v2.9.4
      • Tensor
      • draw
        • diff --git a/typedoc/variables/env-1.html b/typedoc/variables/env-1.html index 956a8be8..a00ca1c7 100644 --- a/typedoc/variables/env-1.html +++ b/typedoc/variables/env-1.html @@ -1,16 +1,16 @@ -env | @vladmandic/human - v2.9.3
        +env | @vladmandic/human - v2.9.4
        +
      • The search index is not available
      @vladmandic/human - v2.9.4

    Variable envConst

    env: Env = ...