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| <!DOCTYPE html> | |
| <html lang="en"> | |
| <head> | |
| <meta charset="UTF-8" /> | |
| <meta | |
| name="viewport" | |
| content="width=device-width,initial-scale=1,shrink-to-fit=no" | |
| /> | |
| <link rel="shortcut icon" href="./favicon.png" /> | |
| <!-- Primary Meta Tags --> |
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| <div class="container"> | |
| <video class="input_video"></video> | |
| <div class="canvas-container"> | |
| <canvas class="output_canvas" width="1280px" height="720px"> | |
| </canvas> | |
| </div> | |
| <div class="loading"> | |
| <div class="spinner"></div> | |
| <div class="message"> | |
| Loading |
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| const Jimp = require('jimp'); | |
| async function onRuntimeInitialized(){ | |
| // load local image file with jimp. It supports jpg, png, bmp, tiff and gif: | |
| var jimpSrc = await Jimp.read('./lena.png'); | |
| // `jimpImage.bitmap` property has the decoded ImageData that we can use to create a cv:Mat | |
| var src = cv.matFromImageData(jimpSrc.bitmap); | |
| // following lines is copy&paste of opencv.js dilate tutorial: | |
| let dst = new cv.Mat(); | |
| let M = cv.Mat.ones(5, 5, cv.CV_8U); | |
| let anchor = new cv.Point(-1, -1); |