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A modern approach for Computer Vision on the web.

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<!doctype html> <html> <head> <title>tracking.js - feature detector with camera</title> <meta charset="utf-8"> <link rel="stylesheet" href="assets/demo.css"> <script src="../build/tracking-min.js"></script> <script src="../../dat-gui/build/dat.gui.min.js"></script> <script src="assets/stats.min.js"></script> <style> #video { position: absolute; top: -1000px; } #canvas { left: 50%; top: 50%; margin-left: -200px; margin-top: -150px; position: absolute; } </style> </head> <body> <div class="demo-title"> <p><a href="http://trackingjs.com" target="_parent">tracking.js</a> - display detected features</p> </div> <div class="demo-frame"> <div class="demo-container"> <video id="video" width="400" height="300" preload autoplay loop muted></video> <canvas id="canvas" width="400" height="300"></canvas> </div> </div> <script> var canvas = document.getElementById('canvas'); var context = canvas.getContext('2d'); var FastTracker = function() { FastTracker.base(this, 'constructor'); }; tracking.inherits(FastTracker, tracking.Tracker); tracking.Fast.THRESHOLD = 2; FastTracker.prototype.threshold = tracking.Fast.THRESHOLD; FastTracker.prototype.track = function(pixels, width, height) { stats.begin(); var gray = tracking.Image.grayscale(pixels, width, height); var corners = tracking.Fast.findCorners(gray, width, height); stats.end(); this.emit('track', { data: corners }); }; var tracker = new FastTracker(); tracker.on('track', function(event) { context.clearRect(0, 0, canvas.width, canvas.height); var corners = event.data; for (var i = 0; i < corners.length; i += 2) { context.fillStyle = '#f00'; context.fillRect(corners[i], corners[i + 1], 2, 2); } }); tracking.track('#video', tracker, { camera: true }); // GUI Controllers var gui = new dat.GUI(); gui.add(tracker, 'threshold', 1, 100).onChange(function(value) { tracking.Fast.THRESHOLD = value; }); </script> </body> </html>