opencv/modules/cudaimgproc/perf/perf_match_template.cpp

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#include "perf_precomp.hpp"

using namespace std;
using namespace testing;
using namespace perf;

////////////////////////////////////////////////////////////////////////////////
// MatchTemplate8U

CV_ENUM(TemplateMethod, TM_SQDIFF, TM_SQDIFF_NORMED, TM_CCORR, TM_CCORR_NORMED, TM_CCOEFF, TM_CCOEFF_NORMED)

DEF_PARAM_TEST(Sz_TemplateSz_Cn_Method, cv::Size, cv::Size, MatCn, TemplateMethod);

PERF_TEST_P(Sz_TemplateSz_Cn_Method, MatchTemplate8U,
            Combine(CUDA_TYPICAL_MAT_SIZES,
                    Values(cv::Size(5, 5), cv::Size(16, 16), cv::Size(30, 30)),
                    CUDA_CHANNELS_1_3_4,
                    TemplateMethod::all()))
{
    declare.time(300.0);

    const cv::Size size = GET_PARAM(0);
    const cv::Size templ_size = GET_PARAM(1);
    const int cn = GET_PARAM(2);
    const int method = GET_PARAM(3);

    cv::Mat image(size, CV_MAKE_TYPE(CV_8U, cn));
    cv::Mat templ(templ_size, CV_MAKE_TYPE(CV_8U, cn));
    declare.in(image, templ, WARMUP_RNG);

    if (PERF_RUN_CUDA())
    {
        const cv::cuda::GpuMat d_image(image);
        const cv::cuda::GpuMat d_templ(templ);
        cv::cuda::GpuMat dst;

        cv::Ptr<cv::cuda::TemplateMatching> alg = cv::cuda::createTemplateMatching(image.type(), method);

        TEST_CYCLE() alg->match(d_image, d_templ, dst);

        CUDA_SANITY_CHECK(dst, 1e-5, ERROR_RELATIVE);
    }
    else
    {
        cv::Mat dst;

        TEST_CYCLE() cv::matchTemplate(image, templ, dst, method);

        CPU_SANITY_CHECK(dst);
    }
}

////////////////////////////////////////////////////////////////////////////////
// MatchTemplate32F

PERF_TEST_P(Sz_TemplateSz_Cn_Method, MatchTemplate32F,
            Combine(CUDA_TYPICAL_MAT_SIZES,
                    Values(cv::Size(5, 5), cv::Size(16, 16), cv::Size(30, 30)),
                    CUDA_CHANNELS_1_3_4,
                    Values(TemplateMethod(cv::TM_SQDIFF), TemplateMethod(cv::TM_CCORR))))
{
    declare.time(300.0);

    const cv::Size size = GET_PARAM(0);
    const cv::Size templ_size = GET_PARAM(1);
    const int cn = GET_PARAM(2);
    int method = GET_PARAM(3);

    cv::Mat image(size, CV_MAKE_TYPE(CV_32F, cn));
    cv::Mat templ(templ_size, CV_MAKE_TYPE(CV_32F, cn));
    declare.in(image, templ, WARMUP_RNG);

    if (PERF_RUN_CUDA())
    {
        const cv::cuda::GpuMat d_image(image);
        const cv::cuda::GpuMat d_templ(templ);
        cv::cuda::GpuMat dst;

        cv::Ptr<cv::cuda::TemplateMatching> alg = cv::cuda::createTemplateMatching(image.type(), method);

        TEST_CYCLE() alg->match(d_image, d_templ, dst);

        CUDA_SANITY_CHECK(dst, 1e-6, ERROR_RELATIVE);
    }
    else
    {
        cv::Mat dst;

        TEST_CYCLE() cv::matchTemplate(image, templ, dst, method);

        CPU_SANITY_CHECK(dst);
    }
}