factory_web/public/tracking/examples/face_alignment_video.html

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<!doctype html>
<html>
<head>
<meta charset="utf-8">
<title>tracking.js - face alignment with camera</title>
<link rel="stylesheet" href="assets/demo.css">
<script src="../build/tracking.js"></script>
<script src="../build/data/face-min.js"></script>
<script src="../src/alignment/training/Landmarks.js"></script>
<script src="../src/alignment/training/Regressor.js"></script>
<script src="../node_modules/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 align face landmarks to detected faces</p>
</div>
<div class="demo-frame">
<div class="demo-container">
<video id="video" width="320" height="240" src="assets/franck.mp4" 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.LandmarksTracker();
tracker.setInitialScale(4);
tracker.setStepSize(2);
tracker.setEdgesDensity(0.1);
tracking.track('#video', tracker);
tracker.on('track', function(event) {
context.clearRect(0,0,canvas.width, canvas.height);
if(!event.data) return;
event.data.faces.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);
});
event.data.landmarks.forEach(function(landmarks) {
for(var l in landmarks){
context.beginPath();
context.fillStyle = "#fff";
context.arc(landmarks[l][0],landmarks[l][1],1,0,2*Math.PI);
context.fill();
}
});
});
var gui = new dat.GUI();
gui.add(tracker, 'edgesDensity', 0.1, 0.5).step(0.01).listen();
gui.add(tracker, 'initialScale', 1.0, 10.0).step(0.1).listen();
gui.add(tracker, 'stepSize', 1, 5).step(0.1).listen();
};
</script>
</body>
</html>