opencv/modules/ocl/perf/perf_blend.cpp

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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(Blend, MatType, int)
{
    int type;
    int channels;
    std::vector<cv::ocl::Info> oclinfo;

    virtual void SetUp()
    {

        type = GET_PARAM(0);
        channels = GET_PARAM(1);
        //int devnums = getDevice(oclinfo);
        //CV_Assert(devnums > 0);
        //cv::ocl::setBinpath(CLBINPATH);
    }
};

TEST_P(Blend, Performance)
{
    cv::Size size(MWIDTH, MHEIGHT);
    cv::Mat img1_host = randomMat(size, CV_MAKETYPE(type, channels), 0, type == CV_8U ? 255.0 : 1.0);
    cv::Mat img2_host = randomMat(size, CV_MAKETYPE(type, channels), 0, type == CV_8U ? 255.0 : 1.0);
    cv::Mat weights1 = randomMat(size, CV_32F, 0, 1);
    cv::Mat weights2 = randomMat(size, CV_32F, 0, 1);
    cv::ocl::oclMat gimg1(size, CV_MAKETYPE(type, channels)), gimg2(size, CV_MAKETYPE(type, channels)), gweights1(size, CV_32F), gweights2(size, CV_32F);
    cv::ocl::oclMat gdst(size, CV_MAKETYPE(type, channels));


    double totalgputick_all = 0;
    double totalgputick_kernel = 0;
    double t1 = 0;
    double t2 = 0;

    for (int j = 0; j < LOOP_TIMES + 1; j ++) //LOOP_TIMES=100
    {
        t1 = (double)cvGetTickCount();
        cv::ocl::oclMat gimg1 = cv::ocl::oclMat(img1_host);
        cv::ocl::oclMat gimg2 = cv::ocl::oclMat(img2_host);
        cv::ocl::oclMat gweights1 = cv::ocl::oclMat(weights1);
        cv::ocl::oclMat gweights2 = cv::ocl::oclMat(weights1);

        t2 = (double)cvGetTickCount();
        cv::ocl::blendLinear(gimg1, gimg2, gweights1, gweights2, gdst);
        t2 = (double)cvGetTickCount() - t2;

        cv::Mat m;
        gdst.download(m);
        t1 = (double)cvGetTickCount() - t1;

        if (j == 0)
        {
            continue;
        }

        totalgputick_all = t1 + totalgputick_all;
        totalgputick_kernel = t2 + totalgputick_kernel;
    };

    cout << "average gpu total  runtime is  " << totalgputick_all / ((double)cvGetTickFrequency()* LOOP_TIMES * 1000.) << "ms" << endl;

    cout << "average gpu runtime without data transfering  is  " << totalgputick_kernel / ((double)cvGetTickFrequency()* LOOP_TIMES * 1000.) << "ms" << endl;

}

INSTANTIATE_TEST_CASE_P(GPU_ImgProc, Blend, Combine(
                            Values(CV_8U, CV_32F), Values(1, 4)));
#endif