使用OpenCL提升OpenCV图像处理性能 | speed up opencv image processing with OpenCL

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speed up opencv image processing with OpenCL

Guide

config

cmake config by default for compiling OpenCV:

WITH_OPENCL ON

example

Mat

#include "opencv2/opencv.hpp"

using namespace cv;

int main(int argc, char** argv)

{

    Mat img, gray;

    img = imread("image.jpg", IMREAD_COLOR);

    cvtColor(img, gray, COLOR_BGR2GRAY);

    GaussianBlur(gray, gray,Size(7, 7), 1.5);

    Canny(gray, gray, 0, 50);

    imshow("edges", gray);

    waitKey();

    return 0;

}

UMat

#include "opencv2/opencv.hpp"

using namespace cv;

int main(int argc, char** argv)

{

    UMat img, gray;

    imread("image.jpg", IMREAD_COLOR).copyTo(img);

    cvtColor(img, gray, COLOR_BGR2GRAY);

    GaussianBlur(gray, gray,Size(7, 7), 1.5);

    Canny(gray, gray, 0, 50);

    imshow("edges", gray);

    waitKey();

    return 0;

}

Reference

• opencv-transparent-api

History

• 20190626: created.

Copyright

• Post author: kezunlin
• Post link: https://kezunlin.me/post/59afd8b3/
• Copyright Notice: All articles in this blog are licensed under CC BY-NC-SA 3.0 unless stating additionally.