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ideal.haar.tracker.js
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ideal.haar.tracker.js
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/*
* ng-face-tracker v0.0.1
* (c) 2013 Saurabh619 http://unfoundbox.github.io
* License: MIT
*/
'use strict';
angular.module('Saurabh619.ng-face-tracker', []);
directive('haarFaceTracker', function($document, $compile, $rootScope) {
/*
^ ^
|\ \ / /|
/ \ |\__ __/| / \
/ /\ \ \ _ \/ _ / / \
/ / /\ \ {*}\/{*} / / \ \
| | | \ \( (00) ) / // |\ \
| | | |\ \(V""V)\ / / | || \|
| | | | \ |^--^| \ / / || || ||
/ / / | |( WWWW__ \/ /| || || ||
| | | | | | \______\ / / || || ||
| | | / | | )|______\ ) | / | || ||
/ / / / / /______/ /| \ \ || ||
/ / / / / /\_____/ |/ /__\ \ \ \ \
| | | / / /\______/ \ \__| \ \ \
| | | | | |\______ __ \_ \__|_| \
| | ,___ /\______ _ _ \_ \ |
| |/ /\_____ / \ \__ \ | /\
|/ | |\______ | | \___ \ |__/ \
v | |\______ | | \___/ |
| |\______ | | __/
\ \________\_ _\ ____/
__/ /\_____ __/ / )\_, _____/
/ ___/ \uuuu/ ___/___) \______/
VVV V VVV V
*/
return {
restrict: 'A',
compile: function(element, attr) {
var type = attr.type || 'text';
var required = attr.hasOwnProperty('required') ? "required='required'" : "";
var htmlText = '<video haar-face-tracker id="webcam" width="640" height="480" style="display:none;" src="blob:https://inspirit.github.io/4227dcb7-5b00-4a15-9ae9-5a41b4a24a55"></video>' +
'<div style=" width:640px;height:480px;margin: 10px auto;">' +
'<canvas id="canvas" width="640" height="480"></canvas>' +
'<div id="no_rtc" class="alert alert-error" style="display:none;"></div>' +
'<div id="log" class="alert alert-info"><strong>FPS: 14.85</strong><br>haar detector: 63ms</div>' +
'</div></div>'
element.replaceWith(htmlText);
}
return function(scope, elt, attr) {
function tracker() {
// lets do some fun
var video = document.getElementById('webcam');
var canvas = document.getElementById('canvas');
try {
var attempts = 0;
var readyListener = function(event) {
findVideoSize();
};
var findVideoSize = function() {
if (video.videoWidth > 0 && video.videoHeight > 0) {
video.removeEventListener('loadeddata', readyListener);
onDimensionsReady(video.videoWidth, video.videoHeight);
} else {
if (attempts < 10) {
attempts++;
setTimeout(findVideoSize, 200);
} else {
onDimensionsReady(640, 480);
}
}
};
var onDimensionsReady = function(width, height) {
demo_app(width, height);
compatibility.requestAnimationFrame(tick);
};
video.addEventListener('loadeddata', readyListener);
compatibility.getUserMedia({
video: true
}, function(stream) {
try {
video.src = compatibility.URL.createObjectURL(stream);
} catch (error) {
video.src = stream;
}
setTimeout(function() {
video.play();
}, 500);
}, function(error) {
$('#canvas').hide();
$('#log').hide();
$('#no_rtc').html('<h4>WebRTC not available.</h4>');
$('#no_rtc').show();
});
} catch (error) {
$('#canvas').hide();
$('#log').hide();
$('#no_rtc').html('<h4>Something goes wrong...</h4>');
$('#no_rtc').show();
}
}
var stat = new profiler();
var gui, options, ctx, canvasWidth, canvasHeight;
var img_u8, work_canvas, work_ctx, ii_sum, ii_sqsum, ii_tilted, edg, ii_canny;
var classifier = jsfeat.haar.frontalface;
var max_work_size = 160;
var demo_opt = function() {
this.min_scale = 2;
this.scale_factor = 1.15;
this.use_canny = false;
this.edges_density = 0.13;
this.equalize_histogram = true;
}
function demo_app(videoWidth, videoHeight) {
canvasWidth = canvas.width;
canvasHeight = canvas.height;
ctx = canvas.getContext('2d');
ctx.fillStyle = "rgb(0,255,0)";
ctx.strokeStyle = "rgb(0,255,0)";
var scale = Math.min(max_work_size / videoWidth, max_work_size / videoHeight);
var w = (videoWidth * scale) | 0;
var h = (videoHeight * scale) | 0;
img_u8 = new jsfeat.matrix_t(w, h, jsfeat.U8_t | jsfeat.C1_t);
edg = new jsfeat.matrix_t(w, h, jsfeat.U8_t | jsfeat.C1_t);
work_canvas = document.createElement('canvas');
work_canvas.width = w;
work_canvas.height = h;
work_ctx = work_canvas.getContext('2d');
ii_sum = new Int32Array((w + 1) * (h + 1));
ii_sqsum = new Int32Array((w + 1) * (h + 1));
ii_tilted = new Int32Array((w + 1) * (h + 1));
ii_canny = new Int32Array((w + 1) * (h + 1));
options = new demo_opt();
gui = new dat.GUI();
gui.add(options, 'min_scale', 1, 4).step(0.1);
gui.add(options, 'scale_factor', 1.1, 2).step(0.025);
gui.add(options, 'equalize_histogram');
gui.add(options, 'use_canny');
gui.add(options, 'edges_density', 0.01, 1.).step(0.005);
stat.add("haar detector");
}
function tick() {
compatibility.requestAnimationFrame(tick);
stat.new_frame();
if (video.readyState === video.HAVE_ENOUGH_DATA) {
ctx.drawImage(video, 0, 0, canvasWidth, canvasHeight);
work_ctx.drawImage(video, 0, 0, work_canvas.width, work_canvas.height);
var imageData = work_ctx.getImageData(0, 0, work_canvas.width, work_canvas.height);
stat.start("haar detector");
jsfeat.imgproc.grayscale(imageData.data, work_canvas.width, work_canvas.height, img_u8);
// possible options
if (options.equalize_histogram) {
jsfeat.imgproc.equalize_histogram(img_u8, img_u8);
}
//jsfeat.imgproc.gaussian_blur(img_u8, img_u8, 3);
jsfeat.imgproc.compute_integral_image(img_u8, ii_sum, ii_sqsum, classifier.tilted ? ii_tilted : null);
if (options.use_canny) {
jsfeat.imgproc.canny(img_u8, edg, 10, 50);
jsfeat.imgproc.compute_integral_image(edg, ii_canny, null, null);
}
jsfeat.haar.edges_density = options.edges_density;
var rects = jsfeat.haar.detect_multi_scale(ii_sum, ii_sqsum, ii_tilted, options.use_canny ? ii_canny : null, img_u8.cols, img_u8.rows, classifier, options.scale_factor, options.min_scale);
rects = jsfeat.haar.group_rectangles(rects, 1);
stat.stop("haar detector");
// draw only most confident one
draw_faces(ctx, rects, canvasWidth / img_u8.cols, 1);
$('#log').html(stat.log());
}
}
function draw_faces(ctx, rects, sc, max) {
var on = rects.length;
if (on && max) {
jsfeat.math.qsort(rects, 0, on - 1, function(a, b) {
return (b.confidence < a.confidence);
})
}
var n = max || on;
n = Math.min(n, on);
var r;
for (var i = 0; i < n; ++i) {
r = rects[i];
ctx.strokeRect((r.x * sc) | 0, (r.y * sc) | 0, (r.width * sc) | 0, (r.height * sc) | 0);
}
}
$(window).load(function() {
tracker();
$(window).unload(function() {
video.pause();
video.src = null;
});
});
};
}
};
});