opencv/modules/imgproc/test/ocl/test_match_template.cpp

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

#ifdef HAVE_OPENCL

namespace cvtest {
namespace ocl {

///////////////////////////////////////////// matchTemplate //////////////////////////////////////////////////////////

CV_ENUM(MatchTemplType, CV_TM_CCORR, CV_TM_CCORR_NORMED, CV_TM_SQDIFF, CV_TM_SQDIFF_NORMED, CV_TM_CCOEFF, CV_TM_CCOEFF_NORMED)

PARAM_TEST_CASE(MatchTemplate, MatDepth, Channels, MatchTemplType, bool)
{
    int type;
    int depth;
    int method;
    bool use_roi;

    TEST_DECLARE_INPUT_PARAMETER(image);
    TEST_DECLARE_INPUT_PARAMETER(templ);
    TEST_DECLARE_OUTPUT_PARAMETER(result);

    virtual void SetUp()
    {
        type = CV_MAKE_TYPE(GET_PARAM(0), GET_PARAM(1));
        depth = GET_PARAM(0);
        method = GET_PARAM(2);
        use_roi = GET_PARAM(3);
    }

    virtual void generateTestData()
    {
        Size image_roiSize = randomSize(2, 100);
        Size templ_roiSize = Size(randomInt(1, image_roiSize.width), randomInt(1, image_roiSize.height));
        Size result_roiSize = Size(image_roiSize.width - templ_roiSize.width + 1,
                                   image_roiSize.height - templ_roiSize.height + 1);

        const double upValue = 256;

        Border imageBorder = randomBorder(0, use_roi ? MAX_VALUE : 0);
        randomSubMat(image, image_roi, image_roiSize, imageBorder, type, -upValue, upValue);

        Border templBorder = randomBorder(0, use_roi ? MAX_VALUE : 0);
        randomSubMat(templ, templ_roi, templ_roiSize, templBorder, type, -upValue, upValue);

        Border resultBorder = randomBorder(0, use_roi ? MAX_VALUE : 0);
        randomSubMat(result, result_roi, result_roiSize, resultBorder, CV_32FC1, -upValue, upValue);

        UMAT_UPLOAD_INPUT_PARAMETER(image);
        UMAT_UPLOAD_INPUT_PARAMETER(templ);
        UMAT_UPLOAD_OUTPUT_PARAMETER(result);
    }

    void Near(double threshold = 0.0)
    {
        OCL_EXPECT_MATS_NEAR(result, threshold);
    }
};

OCL_TEST_P(MatchTemplate, Mat)
{
    for (int j = 0; j < test_loop_times; j++)
    {
        generateTestData();

        OCL_OFF(cv::matchTemplate(image_roi, templ_roi, result_roi, method));
        OCL_ON(cv::matchTemplate(uimage_roi, utempl_roi, uresult_roi, method));

        bool isNormed =
        method == TM_CCORR_NORMED ||
        method == TM_SQDIFF_NORMED ||
        method == TM_CCOEFF_NORMED;

        double eps = isNormed ? 3e-2 : 255.0 * 255.0 * templ.total() * 2e-5;

        Near(eps);
    }
}

OCL_INSTANTIATE_TEST_CASE_P(ImageProc, MatchTemplate, Combine(
                                Values(CV_8U, CV_32F),
                                Values(1, 2, 3, 4),
                                MatchTemplType::all(),
                                Bool())
                           );
} } // namespace cvtest::ocl

#endif