index.html
2.79 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<title>Display Webcam Stream</title>
<style>
#container {
margin: 0px auto;
width: 640px;
height: 480px;
border: 10px #333 solid;
}
#videoElement {
width: 640px;
height: 480px;
background-color: #666;
}
</style>
</head>
<body>
<div id="container">
<video autoplay="true" id="videoElement"> <!-- style="visibility: hidden"-->
</video>
<canvas id='canvasOutput'>
</canvas>
</div>
<script type='text/javascript' src={{url_for('static', filename='js/opencv.js')}}>
<script type='text/javascript'>
var video = document.querySelector("#videoElement");
if (navigator.mediaDevices.getUserMedia){
navigator.mediaDevices.getUserMedia({ video: true })
.then(function (stream) {
video.srcObject = stream;
}).catch(function (err0r) {
console.log("Something went wrong!");
});
}
</script>
<script>
function openCvReady() {
cv['onRuntimeInitialized']=()=>{
// do all your work here
let video = document.getElementById('videoElement');
let src = new cv.Mat(video.height, video.width, cv.CV_8UC4);
let dst = new cv.Mat(video.height, video.width, cv.CV_8UC4);
let gray = new cv.Mat();
let cap = new cv.RectVector();
let classifier = new cv.CascadeClassifier();
classifier.load("{{url_for('static', filename='js/haarcascade_frontalface_default.xml')}}")
const FPS = 30;
function processVideo() {
try {
if (!streaming) {
// clean and stop.
src.delete();
dst.delete();
gray.delete();
faces.delete();
classifier.delete();
return;
}
let begin = Date.now();
// start processing.
cap.read(src);
src.copyTo(dst);
cv.cvtColor(dst, gray, cv.COLOR_RGBA2GRAY, 0);
// detect faces.
classifier.detectMultiScale(gray, faces, 1.1, 3, 0);
// draw faces.
for (let i = 0; i < faces.size(); ++i) {
let face = faces.get(i);
let point1 = new cv.Point(face.x, face.y);
let point2 = new cv.Point(face.x + face.width, face.y + face.height);
cv.rectangle(dst, point1, point2, [255, 0, 0, 255]);
}
cv.imshow('canvasOutput', dst);
// schedule the next one.
let delay = 1000/FPS - (Date.now() - begin);
setTimeout(processVideo, delay);
} catch (err) {
utils.printError(err);
}
// schedule the first one.
setTimeout(processVideo, 0);
};
}
</script>
</body>
</html>