Get started with clmtrackr CDN

MIT licensed

Clmtrackr: library for hand gesture recognition via webcam or video.

Tags:
  • track
  • face
  • array

Stable version

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How to start using clmtrackr CDN


<!DOCTYPE html>
<html>
<head>
  <title>Get started with clmtrackr CDN - cdnhub.io</title>
  <script src="https://cdn.jsdelivr.net/npm/clmtrackr@1.1.2/clmtrackr.min.js"></script>
  <script src="https://cdn.cdnhub.io/clmtrackr/1.1.2/clmtrackr.min.js"></script>
  <style>
    #landmark-container { border: 1px solid black; }
  </style>
</head>
<body>
  <canvas id="landmarksCanvas" width="640" height="480"></canvas>
  <div id="landmark-container"></div>

  <script>
    const canvas = document.getElementById('landmarksCanvas');
    const context = canvas.getContext('2d');
    const container = document.getElementById('landmark-container');

    const clm = new clm.tracker({
      solution: 'landmarks', // or 'faceolive' or 'face'
      singleImage: true,
      maxNumOfLandmarks: 10,
      context: context,
      container: container,
      flipHorizontal: false
    });

    clm.load().then(function () {
      const image = new Image();
      image.src = 'path/to/your/image.jpg';
      image.onload = function () {
        clm.process(image);
      };
    });
  </script>
</body>
</html>
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