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Open Source Computer Vision Library
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58 lines
1.8 KiB
58 lines
1.8 KiB
<!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 Canny 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 Canny 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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<div class="inputoutput"> |
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<canvas id="canvasInput"></canvas> |
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<div class="caption">canvasInput <input type="file" id="fileInput" name="file" /></div> |
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</div> |
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<div class="inputoutput"> |
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<canvas id="canvasOutput"></canvas> |
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<div class="caption">canvasOutput</div> |
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</div> |
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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 = new cv.Mat(); |
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cv.cvtColor(src, src, cv.COLOR_RGB2GRAY, 0); |
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// You can try more different parameters |
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cv.Canny(src, dst, 50, 100, 3, false); |
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cv.imshow('canvasOutput', dst); |
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src.delete(); dst.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('lena.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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