opencv/modules/cudaimgproc/test/test_corners.cpp

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#include "test_precomp.hpp"

#ifdef HAVE_CUDA

using namespace cvtest;

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

namespace
{
    IMPLEMENT_PARAM_CLASS(BlockSize, int);
    IMPLEMENT_PARAM_CLASS(ApertureSize, int);
}

PARAM_TEST_CASE(CornerHarris, cv::cuda::DeviceInfo, MatType, BorderType, BlockSize, ApertureSize)
{
    cv::cuda::DeviceInfo devInfo;
    int type;
    int borderType;
    int blockSize;
    int apertureSize;

    virtual void SetUp()
    {
        devInfo = GET_PARAM(0);
        type = GET_PARAM(1);
        borderType = GET_PARAM(2);
        blockSize = GET_PARAM(3);
        apertureSize = GET_PARAM(4);

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

CUDA_TEST_P(CornerHarris, Accuracy)
{
    cv::Mat src = readImageType("stereobm/aloe-L.png", type);
    ASSERT_FALSE(src.empty());

    double k = randomDouble(0.1, 0.9);

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

    cv::cuda::GpuMat dst;
    harris->compute(loadMat(src), dst);

    cv::Mat dst_gold;
    cv::cornerHarris(src, dst_gold, blockSize, apertureSize, k, borderType);

    EXPECT_MAT_NEAR(dst_gold, dst, 0.02);
}

INSTANTIATE_TEST_CASE_P(CUDA_ImgProc, CornerHarris, testing::Combine(
    ALL_DEVICES,
    testing::Values(MatType(CV_8UC1), MatType(CV_32FC1)),
    testing::Values(BorderType(cv::BORDER_REFLECT101), BorderType(cv::BORDER_REPLICATE), BorderType(cv::BORDER_REFLECT)),
    testing::Values(BlockSize(3), BlockSize(5), BlockSize(7)),
    testing::Values(ApertureSize(0), ApertureSize(3), ApertureSize(5), ApertureSize(7))));

///////////////////////////////////////////////////////////////////////////////////////////////////////
// cornerMinEigen

PARAM_TEST_CASE(CornerMinEigen, cv::cuda::DeviceInfo, MatType, BorderType, BlockSize, ApertureSize)
{
    cv::cuda::DeviceInfo devInfo;
    int type;
    int borderType;
    int blockSize;
    int apertureSize;

    virtual void SetUp()
    {
        devInfo = GET_PARAM(0);
        type = GET_PARAM(1);
        borderType = GET_PARAM(2);
        blockSize = GET_PARAM(3);
        apertureSize = GET_PARAM(4);

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

CUDA_TEST_P(CornerMinEigen, Accuracy)
{
    cv::Mat src = readImageType("stereobm/aloe-L.png", type);
    ASSERT_FALSE(src.empty());

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

    cv::cuda::GpuMat dst;
    minEigenVal->compute(loadMat(src), dst);

    cv::Mat dst_gold;
    cv::cornerMinEigenVal(src, dst_gold, blockSize, apertureSize, borderType);

    EXPECT_MAT_NEAR(dst_gold, dst, 0.02);
}

INSTANTIATE_TEST_CASE_P(CUDA_ImgProc, CornerMinEigen, testing::Combine(
    ALL_DEVICES,
    testing::Values(MatType(CV_8UC1), MatType(CV_32FC1)),
    testing::Values(BorderType(cv::BORDER_REFLECT101), BorderType(cv::BORDER_REPLICATE), BorderType(cv::BORDER_REFLECT)),
    testing::Values(BlockSize(3), BlockSize(5), BlockSize(7)),
    testing::Values(ApertureSize(0), ApertureSize(3), ApertureSize(5), ApertureSize(7))));

#endif // HAVE_CUDA