tracking
Version:
A modern approach for Computer Vision on the web.
68 lines (57 loc) • 2.07 kB
HTML
<html>
<head>
<meta charset="utf-8">
<title>tracking.js - face with camera</title>
<link rel="stylesheet" href="assets/demo.css">
<script src="../build/tracking-min.js"></script>
<script src="../build/data/face-min.js"></script>
<script src="../../dat-gui/build/dat.gui.min.js"></script>
<script src="assets/stats.min.js"></script>
<style>
video, canvas {
margin-left: 230px;
margin-top: 120px;
position: absolute;
}
</style>
</head>
<body>
<div class="demo-title">
<p><a href="http://trackingjs.com" target="_parent">tracking.js</a> － get user's webcam and detect faces</p>
</div>
<div class="demo-frame">
<div class="demo-container">
<video id="video" width="320" height="240" preload autoplay loop muted></video>
<canvas id="canvas" width="320" height="240"></canvas>
</div>
</div>
<script>
window.onload = function() {
var video = document.getElementById('video');
var canvas = document.getElementById('canvas');
var context = canvas.getContext('2d');
var tracker = new tracking.ObjectTracker('face');
tracker.setInitialScale(4);
tracker.setStepSize(2);
tracker.setEdgesDensity(0.1);
tracking.track('#video', tracker, { camera: true });
tracker.on('track', function(event) {
context.clearRect(0, 0, canvas.width, canvas.height);
event.data.forEach(function(rect) {
context.strokeStyle = '#a64ceb';
context.strokeRect(rect.x, rect.y, rect.width, rect.height);
context.font = '11px Helvetica';
context.fillStyle = "#fff";
context.fillText('x: ' + rect.x + 'px', rect.x + rect.width + 5, rect.y + 11);
context.fillText('y: ' + rect.y + 'px', rect.x + rect.width + 5, rect.y + 22);
});
});
var gui = new dat.GUI();
gui.add(tracker, 'edgesDensity', 0.1, 0.5).step(0.01);
gui.add(tracker, 'initialScale', 1.0, 10.0).step(0.1);
gui.add(tracker, 'stepSize', 1, 5).step(0.1);
};
</script>
</body>
</html>