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docker-opencv
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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>