opencv/modules/cudaimgproc/perf/perf_canny.cpp

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#include "perf_precomp.hpp"

using namespace std;
using namespace testing;
using namespace perf;

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

DEF_PARAM_TEST(Image_AppertureSz_L2gradient, string, int, bool);

PERF_TEST_P(Image_AppertureSz_L2gradient, Canny,
            Combine(Values("perf/800x600.png", "perf/1280x1024.png", "perf/1680x1050.png"),
                    Values(3, 5),
                    Bool()))
{
    const string fileName = GET_PARAM(0);
    const int apperture_size = GET_PARAM(1);
    const bool useL2gradient = GET_PARAM(2);

    const cv::Mat image = readImage(fileName, cv::IMREAD_GRAYSCALE);
    ASSERT_FALSE(image.empty());

    const double low_thresh = 50.0;
    const double high_thresh = 100.0;

    if (PERF_RUN_GPU())
    {
        const cv::cuda::GpuMat d_image(image);
        cv::cuda::GpuMat dst;

        cv::Ptr<cv::cuda::CannyEdgeDetector> canny = cv::cuda::createCannyEdgeDetector(low_thresh, high_thresh, apperture_size, useL2gradient);

        TEST_CYCLE() canny->detect(d_image, dst);

        GPU_SANITY_CHECK(dst);
    }
    else
    {
        cv::Mat dst;

        TEST_CYCLE() cv::Canny(image, dst, low_thresh, high_thresh, apperture_size, useL2gradient);

        CPU_SANITY_CHECK(dst);
    }
}