[代理镜像] Teachable-machine-using-tensorflowjs/index.html at main · Muiruriscode/Teachable-machine-using-tensorflowjs · GitHub

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<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <meta http-equiv="X-UA-Compatible" content="IE=edge">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <link rel="stylesheet" href="./style.css">
    <title>Document</title>
</head>
<body>
    <h1>Make your own "Teachable Machine" using Transfer Learning with MobileNet v3 in TensorFlow.js using saved graph model from TFHub.</h1>

    <p id="status">Awaiting TF.js load</p>

    <video id="webcam" autoplay></video>

    <button id="enableCam">Enable Webcam</button>
    <button class="dataCollector" data-1hot="0" data-name="Class 1">Gather Class 1 Data</button>
    <button class="dataCollector" data-1hot="1" data-name="Class 2">Gather Class 2 Data</button>
    <button id="train">Train &amp; Predict!</button>
    <button id="reset">Reset</button>

    <ol>
      <li>First enable webcam and allow access when asked.</li>
      <li>Now find an object, point cam at it, click and hold gather class 1 data button to gather at least 30 samples.</li>
      <li>Repeat for class 2 with a different object of interest. Get similar number of samples.</li>
      <li>Click train and predict and wait while the model is trained live in your browser. No data is sent to server.</li>
      <li>Once trained you will see live predictions appear above the video for what it thinks it sees.</li>
    </ol>

    <script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs@3.11.0/dist/tf.min.js" type="text/javascript"></script>
    <script type="module" src="./index.js" defer></script>
</body>
</html>