OpenCV/opencv_contrib/modules/cudaimgproc/perf/perf_corners.cpp

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#include "perf_precomp.hpp"

namespace opencv_test { namespace {

//////////////////////////////////////////////////////////////////////
// CornerHarris

DEF_PARAM_TEST(Image_Type_Border_BlockSz_ApertureSz, string, MatType, BorderMode, int, int);

PERF_TEST_P(Image_Type_Border_BlockSz_ApertureSz, CornerHarris,
            Combine(Values<string>("gpu/stereobm/aloe-L.png"),
                    Values(CV_8UC1, CV_32FC1),
                    Values(BorderMode(cv::BORDER_REFLECT101), BorderMode(cv::BORDER_REPLICATE), BorderMode(cv::BORDER_REFLECT)),
                    Values(3, 5, 7),
                    Values(0, 3, 5, 7)))
{
    const string fileName = GET_PARAM(0);
    const int type = GET_PARAM(1);
    const int borderMode = GET_PARAM(2);
    const int blockSize = GET_PARAM(3);
    const int apertureSize = GET_PARAM(4);

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

    img.convertTo(img, type, type == CV_32F ? 1.0 / 255.0 : 1.0);

    const double k = 0.5;

    if (PERF_RUN_CUDA())
    {
        const cv::cuda::GpuMat d_img(img);
        cv::cuda::GpuMat dst;

        cv::Ptr<cv::cuda::CornernessCriteria> harris = cv::cuda::createHarrisCorner(img.type(), blockSize, apertureSize, k, borderMode);

        TEST_CYCLE() harris->compute(d_img, dst);

        CUDA_SANITY_CHECK(dst, 1e-4);
    }
    else
    {
        cv::Mat dst;

        TEST_CYCLE() cv::cornerHarris(img, dst, blockSize, apertureSize, k, borderMode);

        CPU_SANITY_CHECK(dst);
    }
}

//////////////////////////////////////////////////////////////////////
// CornerMinEigenVal

PERF_TEST_P(Image_Type_Border_BlockSz_ApertureSz, CornerMinEigenVal,
            Combine(Values<string>("gpu/stereobm/aloe-L.png"),
                    Values(CV_8UC1, CV_32FC1),
                    Values(BorderMode(cv::BORDER_REFLECT101), BorderMode(cv::BORDER_REPLICATE), BorderMode(cv::BORDER_REFLECT)),
                    Values(3, 5, 7),
                    Values(0, 3, 5, 7)))
{
    const string fileName = GET_PARAM(0);
    const int type = GET_PARAM(1);
    const int borderMode = GET_PARAM(2);
    const int blockSize = GET_PARAM(3);
    const int apertureSize = GET_PARAM(4);

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

    img.convertTo(img, type, type == CV_32F ? 1.0 / 255.0 : 1.0);

    if (PERF_RUN_CUDA())
    {
        const cv::cuda::GpuMat d_img(img);
        cv::cuda::GpuMat dst;

        cv::Ptr<cv::cuda::CornernessCriteria> minEigenVal = cv::cuda::createMinEigenValCorner(img.type(), blockSize, apertureSize, borderMode);

        TEST_CYCLE() minEigenVal->compute(d_img, dst);

        CUDA_SANITY_CHECK(dst, 1e-4);
    }
    else
    {
        cv::Mat dst;

        TEST_CYCLE() cv::cornerMinEigenVal(img, dst, blockSize, apertureSize, borderMode);

        CPU_SANITY_CHECK(dst);
    }
}

}} // namespace