Requires HTML, javascript, and typescript if needed
Below is index.html
<!DOCTYPE html>
<script>
function delay(milisecondDelay) {
milisecondDelay += Date.now();
while(Date.now() < milisecondDelay){}
}
delay(5000);
</script>
<html>
<head>
<script src="https://ajax.googleapis.com/ajax/libs/jquery/3.2.1/jquery.min.js"></script>
<script>
</script>
</head>
<body>
</body>
<div id="uniqid">
</div>
<html>
<head>
<script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs"></script>
<script src="https://cdn.jsdelivr.net/npm/@tensorflow-models/blazeface"></script>
<meta charset="utf-8">
<link rel="stylesheet" href="main.css">
<title>Tensor track</title>
</head>
<body>
<div class ="background">
<div class="blur">
<h2 id="heading"></h3>
<div id="videoContainer">
<video id="webcam" width="1000" height="1000" autoplay style="display:none" ></video>
<canvas id="canvas" width="640" height="480"></canvas>
</div>
<script src ="index.js" type="text/javascript"></script>
</div>
</div>
</body>
</html>
<script type="module">
const videoElement = document.getElementsByClassName('input_video')[0];
const canvasElement = document.getElementsByClassName('output_canvas')[0];
const canvasCtx = canvasElement.getContext('2d');
function onResults(results) {
canvasCtx.save();
canvasCtx.clearRect(0, …
Dheirya_Tyagi_CEO ~ May 23
Cool! I actually tried to make my own face-tracker (it isn't that good): https://srcamera.netlify.app