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78 lines
2.4 KiB
HTML
78 lines
2.4 KiB
HTML
<!DOCTYPE html>
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<html>
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<head>
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<meta charset="utf-8">
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<title>Image HoughLinesP Example</title>
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<link href="js_example_style.css" rel="stylesheet" type="text/css" />
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</head>
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<body>
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<h2>Image HoughLinesP Example</h2>
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<p>
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<canvas> elements named <b>canvasInput</b> and <b>canvasOutput</b> have been prepared.<br>
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Click <b>Try it</b> button to see the result. You can choose another image.<br>
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You can change the code in the <textarea> to investigate more.
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</p>
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<div>
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<div class="control"><button id="tryIt" disabled>Try it</button></div>
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<textarea class="code" rows="9" cols="100" id="codeEditor" spellcheck="false">
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</textarea>
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<p class="err" id="errorMessage"></p>
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</div>
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<div>
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<table cellpadding="0" cellspacing="0" width="0" border="0">
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<tr>
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<td>
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<canvas id="canvasInput"></canvas>
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</td>
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<td>
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<canvas id="canvasOutput"></canvas>
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</td>
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</tr>
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<tr>
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<td>
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<div class="caption">canvasInput <input type="file" id="fileInput" name="file" accept="image/*" /></div>
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</td>
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<td>
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<div class="caption">canvasOutput</div>
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</td>
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</tr>
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</table>
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</div>
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<script src="utils.js" type="text/javascript"></script>
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<script id="codeSnippet" type="text/code-snippet">
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let src = cv.imread('canvasInput');
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let dst = cv.Mat.zeros(src.rows, src.cols, cv.CV_8UC3);
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let lines = new cv.Mat();
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let color = new cv.Scalar(255, 0, 0);
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cv.cvtColor(src, src, cv.COLOR_RGBA2GRAY, 0);
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cv.Canny(src, src, 50, 200, 3);
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// You can try more different parameters
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cv.HoughLinesP(src, lines, 1, Math.PI / 180, 2, 0, 0);
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// draw lines
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for (let i = 0; i < lines.rows; ++i) {
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let startPoint = new cv.Point(lines.data32S[i * 4], lines.data32S[i * 4 + 1]);
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let endPoint = new cv.Point(lines.data32S[i * 4 + 2], lines.data32S[i * 4 + 3]);
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cv.line(dst, startPoint, endPoint, color);
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}
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cv.imshow('canvasOutput', dst);
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src.delete(); dst.delete(); lines.delete();
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</script>
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<script type="text/javascript">
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let utils = new Utils('errorMessage');
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utils.loadCode('codeSnippet', 'codeEditor');
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utils.loadImageToCanvas('shape.jpg', 'canvasInput');
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utils.addFileInputHandler('fileInput', 'canvasInput');
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let tryIt = document.getElementById('tryIt');
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tryIt.addEventListener('click', () => {
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utils.executeCode('codeEditor');
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});
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utils.loadOpenCv(() => {
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tryIt.removeAttribute('disabled');
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});
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</script>
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</body>
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</html>
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