@vladmandic/human
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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
87 lines (80 loc) • 3.84 kB
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>
<img id="image" src="../../samples/in/group-1.jpg" alt="test image" style="display: none">
<div id="log" class="log"></div>
<script type="module">
import Human from '../../dist/human.esm.js';
const loop = 20;
const backends = ['wasm', 'webgl', 'humangl', 'webgpu'];
// eslint-disable-next-line no-console
const log = (...msg) => console.log(...msg);
const myConfig = {
modelBasePath: 'https://vladmandic.github.io/human/models',
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 },
antispoof: { enabled: true },
liveness: { enabled: true },
},
hand: { enabled: true },
body: { enabled: true },
object: { enabled: true },
};
async function benchmark(backend) {
myConfig.backend = backend;
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));
}
async function main() {
for (const backend of backends) await benchmark(backend);
}
window.onload = main;
</script>
</body>
</html>