mirror of
https://gitcode.com/gh_mirrors/es/esp32-opencv.git
synced 2025-08-14 10:40:47 +08:00
101 lines
3.4 KiB
HTML
101 lines
3.4 KiB
HTML
<!DOCTYPE html>
|
|
<html>
|
|
<head>
|
|
<meta charset="utf-8">
|
|
<title>Face Detection Example</title>
|
|
<link href="js_example_style.css" rel="stylesheet" type="text/css" />
|
|
</head>
|
|
<body>
|
|
<h2>Face Detection Example</h2>
|
|
<p>
|
|
<canvas> elements named <b>canvasInput</b> and <b>canvasOutput</b> have been prepared.<br>
|
|
Click <b>Try it</b> button to see the result. You can choose another image.<br>
|
|
You can change the code in the <textarea> to investigate more.
|
|
</p>
|
|
<div>
|
|
<div class="control"><button id="tryIt" disabled>Try it</button></div>
|
|
<textarea class="code" rows="9" cols="100" id="codeEditor" spellcheck="false">
|
|
</textarea>
|
|
<p class="err" id="errorMessage"></p>
|
|
</div>
|
|
<div>
|
|
<table cellpadding="0" cellspacing="0" width="0" border="0">
|
|
<tr>
|
|
<td>
|
|
<canvas id="canvasInput"></canvas>
|
|
</td>
|
|
<td>
|
|
<canvas id="canvasOutput"></canvas>
|
|
</td>
|
|
</tr>
|
|
<tr>
|
|
<td>
|
|
<div class="caption">canvasInput <input type="file" id="fileInput" name="file" accept="image/*" /></div>
|
|
</td>
|
|
<td>
|
|
<div class="caption">canvasOutput</div>
|
|
</td>
|
|
</tr>
|
|
</table>
|
|
</div>
|
|
<script src="utils.js" type="text/javascript"></script>
|
|
<script id="codeSnippet" type="text/code-snippet">
|
|
let src = cv.imread('canvasInput');
|
|
let gray = new cv.Mat();
|
|
cv.cvtColor(src, gray, cv.COLOR_RGBA2GRAY, 0);
|
|
let faces = new cv.RectVector();
|
|
let eyes = new cv.RectVector();
|
|
let faceCascade = new cv.CascadeClassifier();
|
|
let eyeCascade = new cv.CascadeClassifier();
|
|
// load pre-trained classifiers
|
|
faceCascade.load('haarcascade_frontalface_default.xml');
|
|
eyeCascade.load('haarcascade_eye.xml');
|
|
// detect faces
|
|
let msize = new cv.Size(0, 0);
|
|
faceCascade.detectMultiScale(gray, faces, 1.1, 3, 0, msize, msize);
|
|
for (let i = 0; i < faces.size(); ++i) {
|
|
let roiGray = gray.roi(faces.get(i));
|
|
let roiSrc = src.roi(faces.get(i));
|
|
let point1 = new cv.Point(faces.get(i).x, faces.get(i).y);
|
|
let point2 = new cv.Point(faces.get(i).x + faces.get(i).width,
|
|
faces.get(i).y + faces.get(i).height);
|
|
cv.rectangle(src, point1, point2, [255, 0, 0, 255]);
|
|
// detect eyes in face ROI
|
|
eyeCascade.detectMultiScale(roiGray, eyes);
|
|
for (let j = 0; j < eyes.size(); ++j) {
|
|
let point1 = new cv.Point(eyes.get(j).x, eyes.get(j).y);
|
|
let point2 = new cv.Point(eyes.get(j).x + eyes.get(j).width,
|
|
eyes.get(j).y + eyes.get(j).height);
|
|
cv.rectangle(roiSrc, point1, point2, [0, 0, 255, 255]);
|
|
}
|
|
roiGray.delete(); roiSrc.delete();
|
|
}
|
|
cv.imshow('canvasOutput', src);
|
|
src.delete(); gray.delete(); faceCascade.delete();
|
|
eyeCascade.delete(); faces.delete(); eyes.delete();
|
|
</script>
|
|
<script type="text/javascript">
|
|
let utils = new Utils('errorMessage');
|
|
|
|
utils.loadCode('codeSnippet', 'codeEditor');
|
|
utils.loadImageToCanvas('lena.jpg', 'canvasInput');
|
|
utils.addFileInputHandler('fileInput', 'canvasInput');
|
|
|
|
let tryIt = document.getElementById('tryIt');
|
|
tryIt.addEventListener('click', () => {
|
|
utils.executeCode('codeEditor');
|
|
});
|
|
|
|
utils.loadOpenCv(() => {
|
|
let eyeCascadeFile = 'haarcascade_eye.xml';
|
|
utils.createFileFromUrl(eyeCascadeFile, eyeCascadeFile, () => {
|
|
let faceCascadeFile = 'haarcascade_frontalface_default.xml';
|
|
utils.createFileFromUrl(faceCascadeFile, faceCascadeFile, () => {
|
|
tryIt.removeAttribute('disabled');
|
|
});
|
|
});
|
|
});
|
|
</script>
|
|
</body>
|
|
</html>
|