opencv/modules/cudaimgproc/test/test_canny.cpp

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#include "test_precomp.hpp"

#ifdef HAVE_CUDA

using namespace cvtest;

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

namespace
{
    IMPLEMENT_PARAM_CLASS(AppertureSize, int)
    IMPLEMENT_PARAM_CLASS(L2gradient, bool)
}

PARAM_TEST_CASE(Canny, cv::cuda::DeviceInfo, AppertureSize, L2gradient, UseRoi)
{
    cv::cuda::DeviceInfo devInfo;
    int apperture_size;
    bool useL2gradient;
    bool useRoi;

    virtual void SetUp()
    {
        devInfo = GET_PARAM(0);
        apperture_size = GET_PARAM(1);
        useL2gradient = GET_PARAM(2);
        useRoi = GET_PARAM(3);

        cv::cuda::setDevice(devInfo.deviceID());
    }
};

CUDA_TEST_P(Canny, Accuracy)
{
    cv::Mat img = readImage("stereobm/aloe-L.png", cv::IMREAD_GRAYSCALE);
    ASSERT_FALSE(img.empty());

    double low_thresh = 50.0;
    double high_thresh = 100.0;

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

    cv::cuda::GpuMat edges;
    canny->detect(loadMat(img, useRoi), edges);

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

    EXPECT_MAT_SIMILAR(edges_gold, edges, 2e-2);
}

INSTANTIATE_TEST_CASE_P(CUDA_ImgProc, Canny, testing::Combine(
    ALL_DEVICES,
    testing::Values(AppertureSize(3), AppertureSize(5)),
    testing::Values(L2gradient(false), L2gradient(true)),
    WHOLE_SUBMAT));

#endif // HAVE_CUDA