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//                For Open Source Computer Vision Library
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#include "precomp.hpp"

#ifdef HAVE_CUDA

////////////////////////////////////////////////////////
// pyrDown

PARAM_TEST_CASE(PyrDown, cv::gpu::DeviceInfo, cv::Size, MatType, UseRoi)
{
    cv::gpu::DeviceInfo devInfo;
    cv::Size size;
    int type;
    bool useRoi;

    virtual void SetUp()
    {
        devInfo = GET_PARAM(0);
        size = GET_PARAM(1);
        type = GET_PARAM(2);
        useRoi = GET_PARAM(3);

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

TEST_P(PyrDown, Accuracy)
{
    cv::Mat src = randomMat(size, type);

    cv::gpu::GpuMat dst = createMat(cv::Size((size.width + 1) / 2, (size.height + 1) / 2), type, useRoi);
    cv::gpu::pyrDown(loadMat(src, useRoi), dst);

    cv::Mat dst_gold;
    cv::pyrDown(src, dst_gold);

    EXPECT_MAT_NEAR(dst_gold, dst, src.depth() == CV_32F ? 1e-4 : 1.0);
}

INSTANTIATE_TEST_CASE_P(GPU_ImgProc, PyrDown, testing::Combine(
    ALL_DEVICES,
    DIFFERENT_SIZES,
    testing::Values(MatType(CV_8UC1), MatType(CV_8UC3), MatType(CV_8UC4), MatType(CV_16UC1), MatType(CV_16UC3), MatType(CV_16UC4), MatType(CV_32FC1), MatType(CV_32FC3), MatType(CV_32FC4)),
    WHOLE_SUBMAT));

////////////////////////////////////////////////////////
// pyrUp

PARAM_TEST_CASE(PyrUp, cv::gpu::DeviceInfo, cv::Size, MatType, UseRoi)
{
    cv::gpu::DeviceInfo devInfo;
    cv::Size size;
    int type;
    bool useRoi;

    virtual void SetUp()
    {
        devInfo = GET_PARAM(0);
        size = GET_PARAM(1);
        type = GET_PARAM(2);
        useRoi = GET_PARAM(3);

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

TEST_P(PyrUp, Accuracy)
{
    cv::Mat src = randomMat(size, type);

    cv::gpu::GpuMat dst = createMat(cv::Size(size.width * 2, size.height * 2), type, useRoi);
    cv::gpu::pyrUp(loadMat(src, useRoi), dst);

    cv::Mat dst_gold;
    cv::pyrUp(src, dst_gold);

    EXPECT_MAT_NEAR(dst_gold, dst, src.depth() == CV_32F ? 1e-4 : 1.0);
}

INSTANTIATE_TEST_CASE_P(GPU_ImgProc, PyrUp, testing::Combine(
    ALL_DEVICES,
    DIFFERENT_SIZES,
    testing::Values(MatType(CV_8UC1), MatType(CV_8UC3), MatType(CV_8UC4), MatType(CV_16UC1), MatType(CV_16UC3), MatType(CV_16UC4), MatType(CV_32FC1), MatType(CV_32FC3), MatType(CV_32FC4)),
    WHOLE_SUBMAT));

#endif // HAVE_CUDA