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javascript

Building a Real-Time Object Detection Web App with TensorFlow.js and p5.js

Create a new folder for your project and add an index.html file. In this file, we’ll include the necessary libraries via CDN:

<!DOCTYPE html>
<html lang="en">
<head>
  <meta charset="UTF-8">
  <title>Real-Time Object Detection</title>
  <style>
    body {
      text-align: center;
      background: #222;
      color: #fff;
      font-family: sans-serif;
    }
    canvas {
      border: 2px solid #fff;
    }
  </style>
</head>
<body>
  <h1>Real-Time Object Detection Web App</h1>
  <!-- p5.js and TensorFlow.js -->
  <script src="https://cdn.jsdelivr.net/npm/p5@1.6.0/lib/p5.min.js"></script>
  <script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs@4.6.0/dist/tf.min.js"></script>
  <!-- Pre-trained model: COCO-SSD -->
  <script src="https://cdn.jsdelivr.net/npm/@tensorflow-models/coco-ssd"></script>
  <script src="sketch.js"></script>
</body>
</html>

Feb 12, 2025
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