I am using a basic html/javascript script where I load a webcam component.
<html>
<head>
<!-- Load the latest version of TensorFlow.js -->
<script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs"></script>
<script src="https://cdn.jsdelivr.net/npm/@tensorflow-models/mobilenet"></script>
</head>
<body>
<div id="console"></div>
<!-- Add an image that we will use to test -->
<video autoplay playsinline muted id="webcam" width="224" height="224"></video>
<!-- Load index.js after the content of the page -->
<script src="index.js"></script>
</body>
</html>
const webcamElement = document.getElementById('webcam');
async function app() {
console.log('Loading mobilenet..');
// Load the model.
net = await mobilenet.load();
console.log('Successfully loaded model');
const webcam = await tf.data.webcam(webcamElement);
while (true) {
const img = await webcam.capture();
const result = await net.classify(img);
document.getElementById('console').innerText = `
prediction: ${result[0].className}\n
probability: ${result[0].probability}
`;
img.dispose();
await tf.nextFrame();
}
}
This seems to be the correct way to load a webcam as per other answers. However, nothing opens for me. No console logs as well. I am trying this on Firefox.
First of all, simply include the script webcam-easy.min.js in the section of the html file.
and try instead of that js, you will get the web cam output
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