opencv/modules/ocl/perf/perf_canny.cpp

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//    Fangfang Bai, fangfang@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;

#define FILTER_IMAGE "../../../samples/gpu/road.png"

#ifndef MWC_TEST_UTILITY
#define MWC_TEST_UTILITY

// Param class
#ifndef IMPLEMENT_PARAM_CLASS
#define IMPLEMENT_PARAM_CLASS(name, type) \
class name \
	{ \
	public: \
	name ( type arg = type ()) : val_(arg) {} \
	operator type () const {return val_;} \
	private: \
	type val_; \
	}; \
	inline void PrintTo( name param, std::ostream* os) \
	{ \
	*os << #name <<  "(" << testing::PrintToString(static_cast< type >(param)) << ")"; \
	}

IMPLEMENT_PARAM_CLASS(Channels, int)
#endif // IMPLEMENT_PARAM_CLASS
#endif // MWC_TEST_UTILITY

////////////////////////////////////////////////////////
// Canny1

IMPLEMENT_PARAM_CLASS(AppertureSize, int);
IMPLEMENT_PARAM_CLASS(L2gradient, bool);

PARAM_TEST_CASE(Canny1, AppertureSize, L2gradient)
{
    int apperture_size;
    bool useL2gradient;
    //std::vector<cv::ocl::Info> oclinfo;

    virtual void SetUp()
    {
        apperture_size = GET_PARAM(0);
        useL2gradient = GET_PARAM(1);

        //int devnums = getDevice(oclinfo);
        //CV_Assert(devnums > 0);
    }
};

TEST_P(Canny1, Performance)
{
    cv::Mat img = readImage(FILTER_IMAGE, cv::IMREAD_GRAYSCALE);
    ASSERT_FALSE(img.empty());

    double low_thresh = 100.0;
    double high_thresh = 150.0;

    cv::Mat edges_gold;
    cv::ocl::oclMat edges;

    double totalgputick = 0;
    double totalgputick_kernel = 0;

    double t1 = 0;
    double t2 = 0;
    for(int j = 0; j < LOOP_TIMES + 1; j ++)
    {

        t1 = (double)cvGetTickCount();//gpu start1

        cv::ocl::oclMat ocl_img = cv::ocl::oclMat(img);//upload

        t2 = (double)cvGetTickCount(); //kernel
        cv::ocl::Canny(ocl_img, edges, low_thresh, high_thresh, apperture_size, useL2gradient);
        t2 = (double)cvGetTickCount() - t2;//kernel

        cv::Mat cpu_dst;
        edges.download (cpu_dst);//download

        t1 = (double)cvGetTickCount() - t1;//gpu end1

        if(j == 0)
            continue;

        totalgputick = t1 + totalgputick;

        totalgputick_kernel = t2 + totalgputick_kernel;

    }

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


}

INSTANTIATE_TEST_CASE_P(GPU_ImgProc, Canny1, testing::Combine(
                            testing::Values(AppertureSize(3), AppertureSize(5)),
                            testing::Values(L2gradient(false), L2gradient(true))));



#endif  //Have opencl