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<html lang="en">
<head>
<title>Webcam Transfer Learning</title>
<link rel="icon" type="image/png" href="favicon.png" />
<meta
name="google-site-verification"
content="Y9rbVPxXYY8HNwYGvnqNGNC1Gku8Rp5Sn5F0eK7gl2Q"
/>
<meta name="title" content="Webcam Transfer Learning" />
<meta
name="description"
content="Tensorflow.js Webcam Transfer Learning Demo"
/>
<link
href="https://fonts.googleapis.com/css2?family=Varela+Round&display=swap"
rel="stylesheet"
/>
<script src="https://cdnjs.cloudflare.com/ajax/libs/tensorflow/4.2.0/tf.min.js"></script>
<script src="https://cdn.jsdelivr.net/npm/@tensorflow-models/mobilenet@2.1.0/dist/mobilenet.min.js"></script>
<script src="https://cdn.jsdelivr.net/npm/@tensorflow-models/knn-classifier@1.2.4/dist/knn-classifier.min.js"></script>
<link rel="stylesheet" href="style.css?v=1.2" />
<style>
.github-corner:hover .octo-arm {
animation: octocat-wave 560ms ease-in-out;
}
@keyframes octocat-wave {
0%,
100% {
transform: rotate(0);
}
20%,
60% {
transform: rotate(-25deg);
}
40%,
80% {
transform: rotate(10deg);
}
}
@media (max-width: 500px) {
.github-corner:hover .octo-arm {
animation: none;
}
.github-corner .octo-arm {
animation: octocat-wave 560ms ease-in-out;
}
}
</style>
</head>
<body>
<a
href="https://github.com/mburakerman/tensorflowjs-webcam-transfer-learning"
target="_blank"
class="github-corner"
aria-label="View source on GitHub"
>
<svg
width="60"
height="60"
viewBox="0 0 250 250"
style="
fill: #eaafc8;
color: #fff;
position: absolute;
top: 0;
border: 0;
right: 0;
"
aria-hidden="true"
>
<path d="M0,0 L115,115 L130,115 L142,142 L250,250 L250,0 Z"></path>
<path
d="M128.3,109.0 C113.8,99.7 119.0,89.6 119.0,89.6 C122.0,82.7 120.5,78.6 120.5,78.6 C119.2,72.0 123.4,76.3 123.4,76.3 C127.3,80.9 125.5,87.3 125.5,87.3 C122.9,97.6 130.6,101.9 134.4,103.2"
fill="currentColor"
style="transform-origin: 130px 106px"
class="octo-arm"
></path>
<path
d="M115.0,115.0 C114.9,115.1 118.7,116.5 119.8,115.4 L133.7,101.6 C136.9,99.2 139.9,98.4 142.2,98.6 C133.8,88.0 127.5,74.4 143.8,58.0 C148.5,53.4 154.0,51.2 159.7,51.0 C160.3,49.4 163.2,43.6 171.4,40.1 C171.4,40.1 176.1,42.5 178.8,56.2 C183.1,58.6 187.2,61.8 190.9,65.4 C194.5,69.0 197.7,73.2 200.1,77.6 C213.8,80.2 216.3,84.9 216.3,84.9 C212.7,93.1 206.9,96.0 205.4,96.6 C205.1,102.4 203.0,107.8 198.3,112.5 C181.9,128.9 168.3,122.5 157.7,114.1 C157.9,116.9 156.7,120.9 152.7,124.9 L141.0,136.5 C139.8,137.7 141.6,141.9 141.8,141.8 Z"
fill="currentColor"
class="octo-body"
></path>
</svg>
</a>
<h1>Webcam Transfer Learning</h1>
<div id="app">
<section id="tfjsController">
<div class="train-buttons">
<button id="left">Train left</button>
<button id="middle">Train middle</button>
<button id="right">Train right</button>
</div>
<video
autoplay
playsinline
muted
id="webcam"
width="400"
height="400"
></video>
<p id="modelInfo">model is loading...</p>
<p id="webcamInfo" style="display: none">waiting for webcam...</p>
<div id="predictionInfo"></div>
</section>
<section id="game">
<canvas height="450" width="750"></canvas>
</section>
</div>
<div class="info">
<h2>🔮 How to train your model? 🔮</h2>
<p>
After enabling your webcam, set your position and then click the button
a few time until probability rate is 100%. Make this for left, middle
and right. <br />
Finally, you can use your arrow keys to move the car. <br />
That's it. Have fun!
</p>
</div>
<script src="game.js"></script>
<script src="app.js"></script>
</body>
</html>