小编H H*_*H H的帖子

我从《Hands-On GPU-Accelerated Computer Vision with OpenCV and CUDA》一书中复制了两个例子来比较 CPU 和 GPU 的性能。

第一个代码：

    cv::Mat src = cv::imread("D:/Pics/Pen.jpg", 0); // Pen.jpg is a 4096 * 4096 GrayScacle picture.
    cv::Mat result_host1, result_host2, result_host3, result_host4, result_host5;

    //Get initial time in miliseconds
    int64 work_begin = getTickCount();
    cv::threshold(src, result_host1, 128.0, 255.0, cv::THRESH_BINARY);
    cv::threshold(src, result_host2, 128.0, 255.0, cv::THRESH_BINARY_INV);
    cv::threshold(src, result_host3, 128.0, 255.0, cv::THRESH_TRUNC);
    cv::threshold(src, result_host4, 128.0, 255.0, cv::THRESH_TOZERO);
    cv::threshold(src, result_host5, 128.0, 255.0, cv::THRESH_TOZERO_INV);

    //Get time after work has finished     
    int64 delta = getTickCount() - work_begin;
    //Frequency …