opencv.js小案例
<!DOCTYPE html> <html> <head> <meta charset="utf-8"> <title>Hello OpenCV.js</title> <style type="text/css"> .inputoutput { float: left; margin: 10px; } </style> </head> <body> <h2>Hello OpenCV.js</h2> <p id="status">OpenCV.js is loading...</p> <div> <div class="inputoutput"> <img id="imageSrc" alt="No Image" /> <div class="caption">imageSrc <input type="file" id="fileInput" name="file" /></div> </div> <div class="inputoutput"> <canvas id="canvasOutput"></canvas> <div class="caption">canvasOutput</div> </div> </div> <script type="text/javascript"> let imgElement = document.getElementById('imageSrc'); let inputElement = document.getElementById('fileInput'); inputElement.addEventListener('change', (e) => { imgElement.src = URL.createObjectURL(e.target.files[0]); }, false); imgElement.onload = function () { let mat = cv.imread(imgElement); mat = face2(mat, 4, 3); cv.imshow('canvasOutput', mat); mat.delete(); }; function onOpenCvReady() { document.getElementById('status').innerHTML = 'OpenCV.js is ready.'; } function face2(image, value1, value2) { let dst = new cv.Mat(); if (value1 == null || value1 == undefined) value1 = 3;//磨皮系数 if (value2 == null || value2 == undefined) value2 = 1;//细节系数 0.5 - 2 var dx = value1 * 5;//双边滤波参数 var fc = value1 * 12.5;//参数 var p = 0.1;//透明度 let temp1 = new cv.Mat(), temp2 = new cv.Mat(), temp3 = new cv.Mat(), temp4 = new cv.Mat(); cv.cvtColor(image, image, cv.COLOR_RGBA2RGB, 0); cv.bilateralFilter(image, temp1, dx, fc, fc);//bilateralFilter(Src) let temp22 = new cv.Mat(); cv.subtract(temp1, image, temp22);//bilateralFilter(Src) - Src cv.add(temp22, new cv.Mat(image.rows, image.cols, image.type(), new cv.Scalar(128, 128, 128, 128)), temp2);//bilateralFilter(Src) - Src + 128 cv.GaussianBlur(temp2, temp3, new cv.Size(2 * value2 - 1, 2 * value2 - 1), 0, 0); //2 * GuassBlur(bilateralFilter(Src) - Src + 128) - 1 let temp44 = new cv.Mat(); temp3.convertTo(temp44, temp3.type(), 2, -255); //2 * GuassBlur(bilateralFilter(Src) - Src + 128) - 256 cv.add(image, temp44, temp4); cv.addWeighted(image, p, temp4, 1 - p, 0.0, dst); //Src * (100 - Opacity) cv.add(dst, new cv.Mat(image.rows, image.cols, image.type(), new cv.Scalar(10, 10, 10, 0)), dst); //(Src * (100 - Opacity) + (Src + 2 * GuassBlur(bilateralFilter(Src) - Src + 128) - 256) * Opacity) /100 return dst; } </script> <script async src="js/opencv.js" onload="onOpenCvReady();" type="text/javascript"></script> </body> </html>
js下载地址 : https://pan.baidu.com/s/1ZMkhcPw31hmW9qOeeOr7fQ 密码:r5wh
速度很快,效果很好接下来啃英文文档去...