opencv/modules/ocl/test/test_canny.cpp

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// @Authors
//    Peng Xiao, pengxiao@multicorewareinc.com
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#include "precomp.hpp"
#ifdef HAVE_OPENCL
#ifdef WIN32
#define FILTER_IMAGE "C:/Users/Public/Pictures/Sample Pictures/Penguins.jpg"
#else
#define FILTER_IMAGE "/Users/Test/Valve_original.PNG" // user need to specify a valid image path
#endif
#define SHOW_RESULT 0

////////////////////////////////////////////////////////
// Canny

IMPLEMENT_PARAM_CLASS(AppertureSize, int);
IMPLEMENT_PARAM_CLASS(L2gradient, bool);

PARAM_TEST_CASE(Canny, AppertureSize, L2gradient)
{
    int apperture_size;
    bool useL2gradient;

    cv::Mat edges_gold;
    //std::vector<cv::ocl::Info> oclinfo;
    virtual void SetUp()
    {
        apperture_size = GET_PARAM(0);
        useL2gradient = GET_PARAM(1);
        //int devnums = getDevice(oclinfo);
        //CV_Assert(devnums > 0);
    }
};

TEST_P(Canny, Accuracy)
{
    cv::Mat img = readImage(FILTER_IMAGE, cv::IMREAD_GRAYSCALE);
    ASSERT_FALSE(img.empty());

    double low_thresh = 50.0;
    double high_thresh = 100.0;

    cv::resize(img, img, cv::Size(512, 384));
    cv::ocl::oclMat ocl_img = cv::ocl::oclMat(img);

    cv::ocl::oclMat edges;
    cv::ocl::Canny(ocl_img, edges, low_thresh, high_thresh, apperture_size, useL2gradient);

    char filename [100];
    sprintf(filename, "G:/Valve_edges_a%d_L2Grad%d.jpg", apperture_size, (int)useL2gradient);

    cv::Mat edges_gold;
    cv::Canny(img, edges_gold, low_thresh, high_thresh, apperture_size, useL2gradient);

#if SHOW_RESULT
    cv::Mat edges_x2, ocl_edges(edges);
    edges_x2.create(edges.rows, edges.cols * 2, edges.type());
    edges_x2.setTo(0);
    cv::add(edges_gold, cv::Mat(edges_x2, cv::Rect(0, 0, edges_gold.cols, edges_gold.rows)), cv::Mat(edges_x2, cv::Rect(0, 0, edges_gold.cols, edges_gold.rows)));
    cv::add(ocl_edges, cv::Mat(edges_x2, cv::Rect(edges_gold.cols, 0, edges_gold.cols, edges_gold.rows)), cv::Mat(edges_x2, cv::Rect(edges_gold.cols, 0, edges_gold.cols, edges_gold.rows)));
    cv::namedWindow("Canny result (left: cpu, right: ocl)");
    cv::imshow("Canny result (left: cpu, right: ocl)", edges_x2);
    cv::waitKey();
#endif //OUTPUT_RESULT
    EXPECT_MAT_SIMILAR(edges_gold, edges, 1e-2);
}

INSTANTIATE_TEST_CASE_P(GPU_ImgProc, Canny, testing::Combine(
                            testing::Values(AppertureSize(3), AppertureSize(5)),
                            testing::Values(L2gradient(false), L2gradient(true))));
#endif