OpenCV/opencv/modules/core/test/ocl/test_dft.cpp

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#include "../test_precomp.hpp"
#include "opencv2/ts/ocl_test.hpp"

#ifdef HAVE_OPENCL

enum OCL_FFT_TYPE
{
    R2R = 0,
    C2R = 1,
    R2C = 2,
    C2C = 3
};

namespace opencv_test {
namespace ocl {

////////////////////////////////////////////////////////////////////////////
// Dft

PARAM_TEST_CASE(Dft, cv::Size, OCL_FFT_TYPE, MatDepth, bool, bool, bool, bool)
{
    cv::Size dft_size;
    int	dft_flags, depth, cn, dft_type;
    bool hint;
    bool is1d;

    TEST_DECLARE_INPUT_PARAMETER(src);
    TEST_DECLARE_OUTPUT_PARAMETER(dst);

    virtual void SetUp()
    {
        dft_size = GET_PARAM(0);
        dft_type = GET_PARAM(1);
        depth = GET_PARAM(2);

        dft_flags = 0;
        switch (dft_type)
        {
        case R2R: dft_flags |= cv::DFT_REAL_OUTPUT; cn = 1; break;
        case C2R: dft_flags |= cv::DFT_REAL_OUTPUT; cn = 2; break;
        case R2C: dft_flags |= cv::DFT_COMPLEX_OUTPUT; cn = 1; break;
        case C2C: dft_flags |= cv::DFT_COMPLEX_OUTPUT; cn = 2; break;
        }

        if (GET_PARAM(3))
            dft_flags |= cv::DFT_INVERSE;
        if (GET_PARAM(4))
            dft_flags |= cv::DFT_ROWS;
        if (GET_PARAM(5))
            dft_flags |= cv::DFT_SCALE;
        hint = GET_PARAM(6);
        is1d = (dft_flags & DFT_ROWS) != 0 || dft_size.height == 1;
    }

    void generateTestData()
    {
        src = randomMat(dft_size, CV_MAKE_TYPE(depth, cn), 0.0, 100.0);
        usrc = src.getUMat(ACCESS_READ);
    }
};

OCL_TEST_P(Dft, Mat)
{
    generateTestData();

    int nonzero_rows = hint ? src.rows - randomInt(1, src.rows-1) : 0;
    OCL_OFF(cv::dft(src, dst, dft_flags, nonzero_rows));
    OCL_ON(cv::dft(usrc, udst, dft_flags, nonzero_rows));

    // In case forward R2C 1d transform dst contains only half of output
    // without complex conjugate
    if (dft_type == R2C && is1d && (dft_flags & cv::DFT_INVERSE) == 0)
    {
        dst = dst(cv::Range(0, dst.rows), cv::Range(0, dst.cols/2 + 1));
        udst = udst(cv::Range(0, udst.rows), cv::Range(0, udst.cols/2 + 1));
    }

    double eps = src.size().area() * 1e-4;
    EXPECT_MAT_NEAR(dst, udst, eps);
}

////////////////////////////////////////////////////////////////////////////
// MulSpectrums

PARAM_TEST_CASE(MulSpectrums, bool, bool)
{
    bool ccorr, useRoi;

    TEST_DECLARE_INPUT_PARAMETER(src1);
    TEST_DECLARE_INPUT_PARAMETER(src2);
    TEST_DECLARE_OUTPUT_PARAMETER(dst);

    virtual void SetUp()
    {
        ccorr = GET_PARAM(0);
        useRoi = GET_PARAM(1);
    }

    void generateTestData()
    {
        Size srcRoiSize = randomSize(1, MAX_VALUE);
        Border src1Border = randomBorder(0, useRoi ? MAX_VALUE : 0);
        randomSubMat(src1, src1_roi, srcRoiSize, src1Border, CV_32FC2, -11, 11);


        Border src2Border = randomBorder(0, useRoi ? MAX_VALUE : 0);
        randomSubMat(src2, src2_roi, srcRoiSize, src2Border, CV_32FC2, -11, 11);

        Border dstBorder = randomBorder(0, useRoi ? MAX_VALUE : 0);
        randomSubMat(dst, dst_roi, srcRoiSize, dstBorder, CV_32FC2, 5, 16);

        UMAT_UPLOAD_INPUT_PARAMETER(src1);
        UMAT_UPLOAD_INPUT_PARAMETER(src2);
        UMAT_UPLOAD_OUTPUT_PARAMETER(dst);
    }
};

OCL_TEST_P(MulSpectrums, Mat)
{
    for (int i = 0; i < test_loop_times; ++i)
    {
        generateTestData();

        OCL_OFF(cv::mulSpectrums(src1_roi, src2_roi, dst_roi, 0, ccorr));
        OCL_ON(cv::mulSpectrums(usrc1_roi, usrc2_roi, udst_roi, 0, ccorr));

        OCL_EXPECT_MATS_NEAR_RELATIVE(dst, 1e-6);
    }
}

OCL_INSTANTIATE_TEST_CASE_P(OCL_ImgProc, MulSpectrums, testing::Combine(Bool(), Bool()));

OCL_INSTANTIATE_TEST_CASE_P(Core, Dft, Combine(Values(cv::Size(45, 72), cv::Size(36, 36), cv::Size(512, 1), cv::Size(1280, 768)),
                                               Values((OCL_FFT_TYPE) R2C, (OCL_FFT_TYPE) C2C, (OCL_FFT_TYPE) R2R, (OCL_FFT_TYPE) C2R),
                                               Values(CV_32F, CV_64F),
                                               Bool(), // DFT_INVERSE
                                               Bool(), // DFT_ROWS
                                               Bool(), // DFT_SCALE
                                               Bool()  // hint
                                               )
                            );

} } // namespace opencv_test::ocl

#endif // HAVE_OPENCL