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//////////////////////////////////////////////////////////

PARAM_TEST_CASE(MatchTemplate, MatDepth, Channels, int, 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, 20);
        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_32F, -upValue, upValue);

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

    void Near(double threshold = 0.0)
    {
        EXPECT_MAT_NEAR(result, uresult, threshold);
        EXPECT_MAT_NEAR(result_roi, uresult_roi, 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));

       if (method == 0)
           Near(10.0f);
       else
           Near(method % 2 == 1 ? 0.001f : 1.0f);
    }
}

OCL_INSTANTIATE_TEST_CASE_P(ImageProc, MatchTemplate, Combine(
                                Values(CV_8U, CV_32F),
                                Values(1, 2, 4),
                                Values(0,1,2,3,4,5),
                                Bool())
                           );
} } // namespace cvtest::ocl

#endif