opencv/modules/ocl/test/test_pyrdown.cpp

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//    Dachuan Zhao, dachuan@multicorewareinc.com
//    Yao Wang yao@multicorewareinc.com
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#include "precomp.hpp"
#include <iomanip>

#ifdef HAVE_OPENCL

using namespace cv;
using namespace cv::ocl;
using namespace cvtest;
using namespace testing;
using namespace std;

PARAM_TEST_CASE(PyrDown, MatType, int)
{
    int type;
    int channels;

    virtual void SetUp()
    {
        type = GET_PARAM(0);
        channels = GET_PARAM(1);

        //int devnums = getDevice(oclinfo);
        //CV_Assert(devnums > 0);
        ////if you want to use undefault device, set it here
        ////setDevice(oclinfo[0]);
    }

    void Cleanup()
    {
    }

};


TEST_P(PyrDown, Mat)
{
    for(int j = 0; j < LOOP_TIMES; j++)
    {
        cv::Size size(MWIDTH, MHEIGHT);
        cv::RNG &rng = TS::ptr()->get_rng();
        cv::Mat src = randomMat(rng, size, CV_MAKETYPE(type, channels), 0, 100, false);

        cv::ocl::oclMat gsrc(src), gdst;
        cv::Mat dst_cpu;
        cv::pyrDown(src, dst_cpu);
        cv::ocl::pyrDown(gsrc, gdst);

        cv::Mat dst;
        gdst.download(dst);
        char s[1024] = {0};

        EXPECT_MAT_NEAR(dst, dst_cpu, dst.depth() == CV_32F ? 1e-4f : 1.0f, s);

        Cleanup();
    }
}

INSTANTIATE_TEST_CASE_P(GPU_ImgProc, PyrDown, Combine(
                            Values(CV_8U, CV_32F), Values(1, 3, 4)));


#endif // HAVE_OPENCL