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<!DOCTYPE html>
<html>
<head>
<title>Docker Computer Vision</title>
<link rel="stylesheet" href="https://cdn.jsdelivr.net/gh/mvoloskov/potion/potion.min.css">
<style>
body {
background: #0b0f19;
color: white;
}
</style>
<!-- Load p5.js -->
<script src="https://cdn.jsdelivr.net/npm/p5@1.4.0/lib/p5.js"></script>
<script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs-core"></script>
<script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs-converter"></script>
<script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs-backend-webgl"></script>
<script src="https://cdn.jsdelivr.net/npm/@mediapipe/pose"></script>
<script src="https://cdn.jsdelivr.net/npm/@tensorflow-models/pose-detection"></script>
</head>
<body>
<header>
<h1>Docker Computer Vision</h1>
<p>A App developed for apply IA in streaming video in JavaScript</p>
<p>This is a work in progress project that want to work with P5.js, OpenCV, Tensorflow.js, Node.js and Docker</p>
<p>Right now, only apply a halftone over the webcam video </p>
<h3>Examples</h3>
<p><a href="/index.html">Segmentation </a><a href="/tests/index_posenet.html">PoseNet </a><a href="/tests/index_old.html">Halftone </a><a href="/tests/index_segmentation.html">Segmentation</a></p>
</header>
<main>
<canvas></canvas>
</main>
<script src="sketch2.js"></script>
</body>
</html>