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<!DOCTYPE html>
< html lang = "en" >
< head >
< meta charset = "utf-8" >
< title > Human< / title >
< meta name = "viewport" content = "width=device-width" id = "viewport" >
< meta name = "keywords" content = "Human" >
< meta name = "application-name" content = "Human" >
< meta name = "description" content = "Human: 3D Face Detection, Body Pose, Hand & Finger Tracking, Iris Tracking, Age & Gender Prediction, Emotion Prediction & Gesture Recognition; Author: Vladimir Mandic <https://github.com/vladmandic>" >
< meta name = "msapplication-tooltip" content = "Human: 3D Face Detection, Body Pose, Hand & Finger Tracking, Iris Tracking, Age & Gender Prediction, Emotion Prediction & Gesture Recognition; Author: Vladimir Mandic <https://github.com/vladmandic>" >
< meta name = "theme-color" content = "#000000" >
< link rel = "manifest" href = "../manifest.webmanifest" >
< link rel = "shortcut icon" href = "../../favicon.ico" type = "image/x-icon" >
< link rel = "apple-touch-icon" href = "../../assets/icon.png" >
< style >
@font-face { font-family: 'Lato'; font-display: swap; font-style: normal; font-weight: 100; src: local('Lato'), url('../../assets/lato-light.woff2') }
html { font-family: 'Lato', 'Segoe UI'; font-size: 16px; font-variant: small-caps; }
body { margin: 0; background: black; color: white; overflow-x: hidden; width: 100vw; height: 100vh; }
body::-webkit-scrollbar { display: none; }
.status { position: absolute; width: 100vw; bottom: 10%; text-align: center; font-size: 3rem; font-weight: 100; text-shadow: 2px 2px #303030; }
.log { position: absolute; bottom: 0; margin: 0.4rem 0.4rem 0 0.4rem; font-size: 0.9rem; }
< / style >
< / head >
< body >
< div id = "status" class = "status" > < / div >
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< img id = "image" src = "../../samples/in/group-1.jpg" alt = "test image" style = "display: none" >
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< div id = "log" class = "log" > < / div >
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< script type = "module" >
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import Human from '../../dist/human.esm.js';
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const loop = 20;
// eslint-disable-next-line no-console
const log = (...msg) => console.log(...msg);
const myConfig = {
backend: 'humangl',
modelBasePath: 'https://vladmandic.github.io/human/models',
wasmPath: 'https://cdn.jsdelivr.net/npm/@tensorflow/tfjs-backend-wasm@3.9.0/dist/',
debug: true,
async: true,
cacheSensitivity: 0,
filter: { enabled: false },
face: {
enabled: true,
detector: { enabled: true, rotation: false },
mesh: { enabled: true },
iris: { enabled: true },
description: { enabled: true },
emotion: { enabled: false },
},
hand: { enabled: true, rotation: false },
body: { enabled: true },
object: { enabled: false },
};
async function main() {
const human = new Human(myConfig);
await human.tf.ready();
log('Human:', human.version);
await human.load();
const loaded = Object.keys(human.models).filter((a) => human.models[a]);
log('Loaded:', loaded);
log('Memory state:', human.tf.engine().memory());
const element = document.getElementById('image');
const processed = await human.image(element);
const t0 = human.now();
await human.detect(processed.tensor, myConfig);
const t1 = human.now();
log('Backend:', human.tf.getBackend());
log('Warmup:', Math.round(t1 - t0));
for (let i = 0; i < loop ; i + + ) await human . detect ( processed . tensor , myConfig ) ;
const t2 = human.now();
log('Average:', Math.round((t2 - t1) / loop));
}
window.onload = main;
< / script >
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< / body >
< / html >
