opencv/modules/imgproc/perf/opencl/perf_matchTemplate.cpp

#include "perf_precomp.hpp"
#include "opencv2/ts/ocl_perf.hpp"

#ifdef HAVE_OPENCL

namespace cvtest {

namespace ocl {

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

    typedef std::tr1::tuple<Size, Size, MethodType> ImgSize_TmplSize_Method_t;
    typedef TestBaseWithParam<ImgSize_TmplSize_Method_t> ImgSize_TmplSize_Method;

    OCL_PERF_TEST_P(ImgSize_TmplSize_Method, MatchTemplate,
            ::testing::Combine(
                testing::Values(szSmall128, cv::Size(320, 240),
                                cv::Size(640, 480), cv::Size(800, 600),
                                cv::Size(1024, 768), cv::Size(1280, 1024)),
                testing::Values(cv::Size(12, 12), cv::Size(28, 9),
                                cv::Size(8, 30), cv::Size(16, 16)),
                MethodType::all()
                )
            )
    {
        Size imgSz = get<0>(GetParam());
        Size tmplSz = get<1>(GetParam());
        int method = get<2>(GetParam());

        UMat img(imgSz, CV_8UC1);
        UMat tmpl(tmplSz, CV_8UC1);
        UMat result(imgSz - tmplSz + Size(1,1), CV_32F);

        declare
            .in(img, WARMUP_RNG)
            .in(tmpl, WARMUP_RNG)
            .out(result)
            .time(30);

        OCL_TEST_CYCLE() matchTemplate(img, tmpl, result, method);

        bool isNormed =
            method == TM_CCORR_NORMED ||
            method == TM_SQDIFF_NORMED ||
            method == TM_CCOEFF_NORMED;
        double eps = isNormed ? 3e-2
            : 255 * 255 * tmpl.total() * 1e-4;

        if (isNormed)
            SANITY_CHECK(result,eps,ERROR_RELATIVE);
        else
            SANITY_CHECK(result, eps);
    }
}
}

#endif // HAVE_OPENCL