opencv/modules/ocl/perf/perf_canny.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;

#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